pseudo,title,question,vote,medal,nbr_comment,date,url_post,url_competition,rank_competition_comment
/mattieshoes,Avoiding the daily submission limit,"This is probably very obvious, but just in case nobody had considered it, I thought I'd mention... By taking the training data and chopping a few months off the end, you can essentially create your own testbed -- instead of 100 months of training data, maybe you have 95, then 5 months worth of games to test against where you know the real answers and can calculate your own root mean square error. It'll give you an idea whether the results you generate are sensible and allow you to tune your algorithm without running into the ""two submissions a day"" max. I find it handy -- for instance, if you're going to assign decreasing weight to older and older games, you can adjust how the weighting scheme works to find something fairly good first, and THEN submit.",0,None,22 ,Sat Aug 07 2010 07:04:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/54,/competitions/chess,49th
/judowill,A few techniques you might try:,"In response to a comment on the No Free Hunch Blog [Link]:http://kaggle.com/blog/2010/04/27/beating-up-on-hiv/and on my website [Link]:http://www.willdampier.info/2010/a-few-ideas/ ... I'm listing a few ideas that may give you a head-start on how to get started:There are a whole lotta ways to do this sort of prediction, since I come from a machine-learning background I'll describe it from that perspective: So in my mind I need to extract a set of features (observations) from each sequences, then train a SVM, logistic-regression, decision-forest, or ensemble classifier to learn which features are important. Each of those classifiers have advantages and disadvantages that are very well documented ... a safari through Wikipedia should give you a pretty good idea.The hardest part is deciding which features are worth (or even possible) to put into your model:I know people who use ""k-mers"" as their features ... this involves finding and counting all of the 5 letter instances in the sequence. Then you can use these as features in a prediction model. K-mers are nice because they are easy to pull out with any programming language you can think of. There is also a list of regular-expressions which have some biological meaning here: http://elm.eu.org/browse.htmlOther people prefer to use the raw sequence. If you can align the sequences (since they don't all start at the same part of the gene) using a program like ClustalW then you can think of each column as a categorical feature. The problem here is that HIV-1 is highly variable and alignments are difficult ... although not impossible.If you wander around the Los Alamos HIV-1 database you can find a list of known resistance mutations: http://www.hiv.lanl.gov/content/sequence/RESDB/. These have been verified to be important in the viral resistance to certain drugs. You can use the presence or absence of these mutations as features to train a model.I'm sure there are dozens of ways to extract features that I've never even heard of so don't think that these are your only choices.",1,None,18 ,Thu Apr 29 2010 01:13:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1,/competitions/hivprogression,None
/tcash21,Question regarding algorithms used,"Hi, I'm interested in participating in the contest, however I need to know what tools will actually need to be released upon entry.I have access to proprietary software and super computing power, but if our predictions work well we cannot hand over our platform. We can describe it and possibly even release a model that can be simulated by users, but the platform itself is trademarked and licensed.Please let me know as I would really like to make a contribution to this project!Thanks,-Tanya",0,None,2 ,Thu Apr 29 2010 17:48:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2,/competitions/hivprogression,None
/altons,Question about data,"Hi,I just read in csv files and I've got a question about the PR and RT sequences. The first one (PR) is 297 characters and the RT is 1476 characters and since I am not from the biomedical field I just wanted to double check.Regards,AlbertoP.S.Nice morete seoi nage or perhaps ippon seoi nage (not sure though)",0,None,2 ,Fri Apr 30 2010 16:32:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3,/competitions/hivprogression,48th
/lucassinclair,Biased sets,It seams that the training dataset contains about 80% of patients not responding to treatment while the test dataset seams to contain around 50% of none responding patients. I hence conclude that the training set is not a uniform sample of the total number of patients. Is this done on purpose ?,1,None,3 ,Fri Apr 30 2010 17:40:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4,/competitions/hivprogression,None
/brucetabor,Non-standard nucleotide codings,"Some of the nucleotide codings - I've spotted an ""N"", a ""Y"" and an ""M"" already - are not from the standard ACGT set.What do they represent?Also HIV is a retrovirus (hence the Reverse Transcriptase protein). Retroviruses are RNA viruses, which means the are usualyy coded with ACGU not ACGT - the U represents uracil found in RNA instead of thymine:http://en.wikipedia.org/wiki/RNA",0,None,1 Comment,Sat May 01 2010 13:00:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5,/competitions/hivprogression,23rd
/dalloliogm,Ideas by a biologist/bioinformatician,"my background is from biology and, even if I have been doing bioinformatics for a few years now, I don't have enough knowledge of machine learning to solve this by myself: therefore, if someone is interested in making a two-people team with me, I would be glad to collaborate, provided that you explain the machine learning part to me.In any case, since I am more interested in learning than in the prize of the competition, I will put here some ideas for everybody:the two sets of sequences represent coding sequences of two proteins; therefore, one thing to do is to translate them and compare the protein sequences. Even if two individuals have different DNA sequences for a gene, they can have the same protein sequences; and since only the protein is exposed to functional constraints, then it will be more interesting to see the differences in the protein sequences.analyzing k-mers doesn't seem very interesting to me. k-mers are usually used to identify regulatory motifs in DNA, which define when a gene is expressed, how, etc.. However, these signals usually are not inside the coding part of a gene sequence, but rather in the positions before or sorrounding the gene. So, the regulatory factors that you are looking with k-mers could be not included in the sequences given. For a similar reason, the GC content is not so informative.a possible approach would be to look at which sites are the most variable within the protein sequences.",0,None,5 ,Sat May 01 2010 13:56:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6,/competitions/hivprogression,None
/judowill,Technique Discussion,"Now that we have a handful of algorithms that are well above random, does anyone want to post a discussion on their particular algorithm, feature-set, approach, etc.I'm hoping to foster an open discussion of the techniques used here. You can post a link to a public repo, a blog post, etc.Good Luck,Will",0,None,1 Comment,Sun May 02 2010 16:37:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7,/competitions/hivprogression,None
/lucassinclair,Therapeutics,"The goal of the game is to answer the question ""Do patients respond to the treatment ?"". However, I have found almost no information about the aforementioned treatment and drugs the patients were given. Did they all follow the same therapy ? Was the posology strictly equivalent ? What drugs exactly were consumed ?",0,None,2 ,Tue May 04 2010 11:32:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8,/competitions/hivprogression,None
/paulharrigan,Self-disqualification - Fontanelles,"Hi there,The Fontanelles is a group which does HIV research professionally and so has some specialized information in this area. We're disqualifying our entry, but have put it in just for fun as a target. We may be back if someone beats it.",0,None,1 Comment,Wed May 05 2010 06:00:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9,/competitions/hivprogression,31st
/altons,k-mers,"Hi guys,Apologies in advance if this is a silly question but I feel like a fish out of the water with this PR and RT strings.I have been spending sometime on the PR and RT sequences and noticed that if I split the sequences in 3-mers I'll get 99 groups for PR (297/3) and 492 for RT (1476/3). My question is whether or not make sense to split the sequences in ternaries. Is there any other alternative, perhaps 2-mers?Does it make sense to calculate the odds of responding to the treament for each k-mer or may be re-group them into 2 consecutive k-mers and the calculate the odds?Thanks in advance for your help.Alberto",0,None,2 ,Thu May 06 2010 15:56:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10,/competitions/hivprogression,48th
/rajstennajbarrabas,Quickstart package,"[Link]:http://www.OkianWarrior.com/Enjoys/Kaggle/Images/HIV.zip is a quickstart package for people to get up and running without a lot of programming.It's in perl, you will also need List::Util and Statistics::Basic from CPAN. The data files for this contest are included.BasicStats.plThis will read in the data and print some basic statistics. You can use this as a framework for your own explorations of the data. The source informs several ways of accessing and manipulating the data.TestMethod.plThis will randomly select a test set from the training data, then call Train() on the remaining data and Test() on the test data and print out the MCE. Train() and Test() are stubs - rewrite these functions to test your own prediction methods.KaggleEntry.plThis will read in the test data and the training data, call Train() on the training data, then call Test() on the test data, then generate a .csv file properly formatted for Kaggle submission. Train() and Test() are stubs - rewrite these functions to submit an entry based your own prediction methods.There is a more comprehensive README in the package.If you find problems, please let me know (via the Kaggle contact link), I will update & repost.I expect bugs will be fixed and more functionality will be added over time, updates will be posted here.(Please be kind to my server!)",1,None,8 ,Fri May 07 2010 22:52:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12,/competitions/hivprogression,4th
/antgoldbloom,Studies that look at Eurovision voting patterns,"Here are some papers that analyze Eurovision voting patterns. You might find some of them helpful. Gatherer (2006)Comparison of Eurovision Song Contest Simulation with Actual Results Reveals Shifting Patterns of Collusive Voting Alliances. [Link]:http://jasss.soc.surrey.ac.uk/9/2/1.htmlThe Eurovision Song Contest Is Voting Political or Cultural? Ginburgh and Noury (2006) [Link]:http://164.15.69.62/ecare/personal/ginsburgh/papers/153.eurovision.pdfFenn, Suleman, Efstathiou and Johnson (2008) [Link]:http://arxiv.org/pdf/physics/0505071The Eurovision Song Contest as a ‘Friendship’ Network Dekker (2007) [Link]:http://members.ozemail.com.au/%7Edekker@ozemail.com.au/Connections07.pdf",1,None,1 Comment,Wed May 12 2010 06:39:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16,/competitions/Eurovision2010,None
/dalloliogm,three sequences are not coding,"There are three sequences that have a stop codon in the middle, so only a portion of them is coding.I wonder which is the best way to handle with this. Would you remove the whole sequences from the data? Will you consider the sequence after the stop codon, or not? or maybe it is better to ignore this fact completely?I don't know what is the best way to put this information into a machine learning software.",0,None,13 ,Tue May 18 2010 18:53:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18,/competitions/hivprogression,None
/dalloliogm,any good library for machine-learning in python?,"I prefer to program in python if I can. Can you recommend me any good library for machine learning in python?I have found [Link]:http://pypi.python.org/pypi/pcSVM/pre%201.0, but it seems to be not online anymore. So, I don't know libraries to play with support vector machines in python.For Neural network there is which looks good, but I haven't tried it yet.",0,None,2 ,Mon May 24 2010 11:23:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19,/competitions/hivprogression,None
/dalloliogm,comments on Kaggle,"This post is not related to the HIV Progression contest, but it is to send feedback about the Kaggle website.First of all, you should really use a better code for the forum... it is very uncomfortable to write here, and there are a lot of templates out there that work better.The second point is a more general complaint about the fact that having a prize for solving the competition reduces a lot the opportunity to collaborate to solve the problem together with other people. For example, I have some good ideas on which informations I could use to write a nice machine-learning method to make the prediction... but I am restrained from exaplaining them here because I won't obtain any credit from it :-(You should think of a way to reward the people most active in the forum, or in any case you have to reward those that collaborate the most and are more open to the dialogue.",0,None,12 ,Mon May 24 2010 17:19:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20,/competitions/hivprogression,None
/dalloliogm,positions associated with HIV resistance,"ok, I am a good person, so I am going to post this here... hoping that somebody will respond with a similar level of feedback and maybe collaborate with me to solve this competition. A nice hint to help solving the competition is this table/database:- http://hivdb.stanford.edu/cgi-bin/PositionPhenoSummary.cgiIt shows the list of all the positions that are known to be associated with resistance to an HIV treatment, one of AZT, D4T, TDF, ABC, DDI, DDC, 3TC. You see that not all the positions in the sequences are equally important, and it is not always true that the positions that vary the most are more correlated with resistance. It is probable that these positions correspond to key aminoacids in the sequence, that have a key structural role or participate to the catalytic site of the protein.My original approach was to use this table to write a machine-learning based software using these inputs, since using all the positions in the sequences would be too cpu-consuming.As I was saying in a previous post, I am not interested in winning the prize of this competition, but I would like to learn from people expert in machine-learning methods... I think I could find other applications for these methods to other biological problems, if I learn how to use them properly. So please, don't be shy with the feedback now :-)",0,None,7 ,Mon May 24 2010 17:21:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21,/competitions/hivprogression,None
/dirknbr,correlation between resp and patient id,How do you explain the correlation between resp and patient id?,0,None,1 Comment,Wed May 26 2010 10:11:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22,/competitions/hivprogression,5th
/coffin,Viral Load,"Hi all,I'm new to this contest, and am participating not as a serious competitor but just to get familiar with genetic analysis and machine learning. I've been playing around with the dataset, and I see viral load at t0 is highly correlated with survival chances. I've implemented this in my entry (and nothing else), but I still don't get above guessing. Did I do it wrong or is something else going wrong?Thanks,Coffin",0,None,4 ,Mon May 31 2010 15:30:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/24,/competitions/hivprogression,38th
/rajstennajbarrabas,A question for Will,"For Will, the contest organizer.You started with the public data of 1692 entries. You then selected equal numbers (or something close to that ratio) of responded and non-responded in order to make the test set.Did you use any other criterion to decide which entries went into the test set?In other words, other than the 50/50 thing, were the test set entries chosen randomly?",1,None,5 ,Tue Jun 08 2010 02:03:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/25,/competitions/hivprogression,4th
/antgoldbloom,"General feedback, bugs and feature requests","Please use this topic to give us feedback. If you'd rather do so in private, email me at anthony.goldbloom@kaggle.com.",0,None,72 ,Wed Jun 16 2010 03:48:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/26,None,None
/antgoldbloom,Categorical and Binary Variables,"I accidentally deleted the following post (made by another user). I'm reposting it on their behalf:Are there categorical and/or binary variables in the data set (Other than the target variable)? For instance, Variable153Open (in test data) seems to have categories 5, 6, 7,... If there are categorical variables, do we get to know what the categories mean?Thank You!",0,None,3 ,Wed Jun 23 2010 02:41:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/30,/competitions/informs2010,127th
/salimali,note on AUC...,"As far as I am aware, the calculation of the AUC for this comp means that 0.5 is a random model. A model giving an AUC of 0.75 is the same model as one giving 0.25, but the values have been mulitiplied by -1 to give a reverse ordering.So... You need to look at the bottom of the leaderboard as well as the top to see who is really doing well!",0,None,3 ,Fri Jun 25 2010 23:27:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/31,/competitions/informs2010,3rd
/salimali,Dodgy Data???,"There are some variables called ....LAST_PRICEIf you join the the 2 datasets together and plot you will see there is a complete disconnect for these variables, and for one of them all the values in the scoring set are missing.Have these variables been manually maniplulated in some way?",0,None,1 Comment,Fri Jun 25 2010 23:39:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/32,/competitions/informs2010,3rd
/salimali,Using future information !,"Because we have been give all the data, it is possible to actually use 'future information' in the models, which in reality would not be possible for a real time forecasting system!",0,None,43 ,Fri Jun 25 2010 23:43:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/33,/competitions/informs2010,3rd
/salimali,how to get 0.658,"Logistic regression using the variables below should get you 0.658 on the leaderboard.This technique is simple, but not going to win though - 0.85 is the benchmark to beat.Variable159HIGH Variable160HIGH Variable160LOW Variable164LAST Variable165LAST Variable171LAST Variable172LAST Variable173LAST Variable8HIGH Variable9HIGH Variable11LOW Variable12OPEN Variable14OPEN Variable15OPEN Variable18OPEN Variable19OPEN Variable21LOW Variable24LOW Variable27OPEN Variable27LOW Variable28HIGH Variable33LOW Variable34OPEN Variable34HIGH Variable35OPEN Variable35HIGH Variable38LOW Variable42HIGH Variable44OPEN Variable44LOW Variable45OPEN Variable45LOW Variable46HIGH Variable46LOW Variable47LOW Variable48HIGH Variable49HIGH Variable52LOW Variable53HIGH Variable53LOW Variable54OPEN Variable54HIGH Variable54LOW Variable55OPEN Variable59HIGH Variable62OPEN Variable65OPEN Variable65HIGH Variable68HIGH Variable69LOW Variable74HIGH Variable74LOW Variable78LOW Variable79HIGH Variable82OPEN Variable83HIGH Variable88OPEN Variable88HIGH Variable89HIGH Variable89LOW Variable92HIGH Variable98OPEN Variable98LOW Variable102OPEN Variable102HIGH Variable102LOW Variable105HIGH Variable108OPEN Variable109OPEN Variable109LOW Variable123OPEN Variable123LOW Variable125OPEN Variable130HIGH Variable133LOW Variable136HIGH Variable137OPEN Variable139HIGH",0,None,11 ,Fri Jun 25 2010 23:59:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/34,/competitions/informs2010,3rd
/larrydag,dealing with missing values,I understand why missing values are in the data set. That's just a matter of life and reality. I'm curious on what are some methods of dealing with them.I've noticed that in my methods using Logistic Regression with R that its not imputing a value for the Result.Data. I'm basically just using a mean of predicted values to impute for the missing values. That's not a great method but works okay. What are some of your methods?,0,None,2 ,Tue Jun 29 2010 19:12:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/35,/competitions/informs2010,97th
/colingreen,Scoring system,"What are people's opinions on the scoring method on this task? I think I would prefer to see submissions using a continous scale from 0 to 1 instead binary 0/1. That is, we would predict the probability that a patient would respond to treatment. I appreciate this would result in submissions with many scores near to 0.5, but I think that would be a superior scoring method with respect to maximizing clinical outcome (that is, if the predictions were being used to guide treatment decisions in a clinical setting).Colin.",0,None,3 ,Wed Jun 30 2010 22:20:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/36,/competitions/hivprogression,40th
/louisduclosgosselin,Is it possible to predict stock price movements at five minute intervals with accurate predictive an,"Dear Colleagues, Preliminary results on the leaderboard of this contest appear to confirm that this is possible to predict stock price movements at five minute intervals with accurate predictive analysis solutions! The leaderboard results of the contest are really amazing. They let me believe that it is possible to predict stock price movements at five minute intervals with accurate predictive analysis solutions. At the end of the competition, with predicted values of the top competitors, we will build trading strategies (and measuring their profitability) to confirm or not this fact. Are methods developed in this contest will have big impact on the finance industry? Thanks for participing! Thanks a lot. Let's keep in touch. I am looking forward earning your news. Best regards. Louis Duclos-Gosselin Chair of INFORMS Data Mining Contest 2010 Applied Mathematics (Predictive Analysis, Data Mining) Consultant at Sinapse INFORMS Data Mining Section Member E-Mail: Louis.Gosselin@hotmail.com http://www.sinapse.ca/En/Home.aspx http://dm.section.informs.org/ Phone: 1-866-565-3330 Fax: 1-418-780-3311 Sinapse (Quebec), 1170, Boul. Lebourgneuf Suite 320, Quebec (Quebec), Canada G2K 2E3",0,None,2 ,Wed Jul 07 2010 01:30:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/38,/competitions/informs2010,None
/yashshah0,Variable Names,"Hi,I still haven't seen the test database, but seems that column/parameter names have been hidden to avoid competitors from figuring out the actual stock name and hence stopping them from misusing that information.But I have an alternate opinion, specially in the field of Finance having an intuitive sense what the variable means is very important for predicting prices. A sense whether column 1 was the closing index of a stock or the trading volume would help a lot to model the predictive prices.Without having any sense what the variable meant, its difficult to confide in a model. A model with 90% accuracy would be unreliable if the stock prices, suppose were predicted on the parameter : the amount of cattle traded in Japan. Although statistically we may find a correlation between Price movements and birth of baby boys in Ghana, but it would not sound logical would it? I hope I could put my point across and you would consider proving the column names rather then just non-intuitive generic names.",0,None,1 Comment,Thu Jul 08 2010 17:56:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/39,/competitions/informs2010,None
/matthewpickering,World Cup 2010,Inspired by the World Cup 2010 - Take on the Quants contest I ran an exact copy among my friends and colleagues. The highest score attained here was 97.31 with an average score of 64.41 in comparison to the highest score of 87.31 and average of 54.96 between the entrants. Can the World Cup really be predicted by machines?,0,None,1 Comment,Mon Jul 12 2010 12:32:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/40,None,None
/vijaygovindaswamyperumkulam,Clarification on the Submission Template,"If my understanding is correct, the column ""TargetVariable"" in the submission template indicates the score for the prediction of outcome ""1"" (increase in stock price) for each of the records in the test data file. The score for prediction of the outcome ""0"" (decrease in stock price) is not required.Please clarify.Regards,PG",0,None,15 ,Thu Jul 15 2010 18:49:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/41,/competitions/informs2010,27th
/tcash21,Target variable?,Is anyone else having problems finding the target variable to be predicted in the test set?,0,None,4 ,Thu Jul 22 2010 20:17:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/42,/competitions/informs2010,86th
/newpants,Can any of the 4 top guys tell me if you use future information?,"The accuracies higher than 0.9 is really impressive.. Can any of the 4 top guys tell me if you use future information? If so, I will change my major now :) My curiosity is really killing me... thx....",0,None,5 ,Sat Jul 24 2010 10:07:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/43,/competitions/informs2010,None
/abhinav0,confusion with structure of data,"I am not sure that data is given for 180 different stocks or it's only one stock data and 180 expert view.Please if any one understood the data explain me.and if my first assumption is true then I have to predict for 180 different stock the probability of up (or down) ?also in the case of option 1 where is information about ""sectoral data, economic data, experts' predictions and indices""",0,None,3 ,Tue Jul 27 2010 13:46:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/44,/competitions/informs2010,None
/salimali,how to get 0.95,It is possible to get 0.95 using XXXXXX variable. (sorry too late!) There are numerous clues scattered throughout this forum. ;-),0,None,2 ,Mon Aug 02 2010 07:16:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/45,/competitions/informs2010,3rd
/antgoldbloom,The solution,Thanks for participating in this competition. I've attached the solution file to this post. UPDATE: The solution is no longer attached but you're welcome to make submissions to this competition.,0,None,7 ,Wed Aug 04 2010 00:24:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/46,/competitions/hivprogression,None
/dirknbr,Elo algorithm,"Great that we have an Elo benchmark we need to beat. Is the Elo ranking based on the training set only? I am asking because my Elo scores lower than the benchmark. Here is how I derive the Elo, where players[] is an array of Elo scores, b is black and, w is white and s is the score. K is set to 32. Obviously I need to initialise the rating for unseen players, what value do you recommend, does it matter? if w in players: if b in players: ew=1/(1+math.pow(10,(players[b]-players[w])/400)) else: ew=1/(1+math.pow(10,(ini-players[w])/400)) players[w]=players[w]+32*(float(s)-ew) else: players[w]=ini if b in players: if w in players: eb=1/(1+math.pow(10,(players[w]-players[b])/400)) else: eb=1/(1+math.pow(10,(ini-players[b])/400)) players[b]=players[w]+32*((1-float(s))-eb) else: players[b]=ini",1,None,23 ,Wed Aug 04 2010 23:32:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/47,/competitions/chess,99th
/diogoff,Question about disjoint subsets of players,"Suppose that the training data contains just 5 players and there are games between players 1, 2, 3 and games between players 4, 5 but no games between these two subsets.My question is the following:If the test data contains a game between player 2 and player 4 (for example), how are you supposed to come up with an estimate for the score of that game?",0,None,2 ,Thu Aug 05 2010 13:38:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/49,/competitions/chess,4th
/perrutquist,How to get 0.88527,"Just give every game a score of 0.545647 (which is the average score for the games in the training set) and you will get a RMSE of 0.882573 If you're doing worse than this, then you need to rethink your strategy.UPDATE: After changing the leaderboard to use 20 % of the test set, the RMSE for my all=0.545647 submission has changed to 0.78846",0,None,9 ,Thu Aug 05 2010 15:29:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/50,/competitions/chess,23rd
/johnlucas0,Sharing of Methodologies,"A question on the rules, if I may?You say that contestants will need to share their methodologies in order to qualify for prizes.Does that mean sharing with the organisers, or sharing with the public?Personally I'll be a lot more interested in participating / contributing if I know the winning methodologies are going to be publicly shared.Thanks.",0,None,2 ,Fri Aug 06 2010 01:29:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/51,/competitions/chess,22nd
/chrisraimondi,Here is the BowTie Breakdown of Players in the Training Set,"The ""In"" in this case is White - the ""Out"" is black: Largest Strongly Connected Component 5643 In 707 Out 669 Tubes 5 Tendrils 91 Others 186 I have attached a text file with each players category.If you have no idea what this means - you can look for:Bow Tie WebOr look at this graphic:http://nlp.stanford.edu/IR-book/html/htmledition/img1832.png",0,None,3 ,Fri Aug 06 2010 06:53:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/52,/competitions/chess,121st
/uriblass,I wonder if it is not possible to cheat in the competition,We talk about predicting the past so people may find the name of part of the chess players based on their result and use this information to have correct prediction of the results.I think that submitting a data file should not be enough and the person who submit it should explain how to calculate the expected result so other can reproduce the same results.,0,None,9 ,Fri Aug 06 2010 09:28:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/53,/competitions/chess,6th
/del=6991293a5e2ea175,Some Clarifications,"Hello,I have a few clarifications regarding this contest. Correct me if my interpretation is incorrect:The data is about 180 different stocks and the 4 parameters of each of those stocks corresponds to prices. In some of the other discussions, it has been mentioned that the data could correspond to predictions. Does it mean that these are predicted values? If not, then what are the predictions?It has also been mentioned that the data could correspond to sectoral data. What might they be?Is there any physical interpretation for ""TargetValue""? What does it mean for it to be ""1"" or ""0""? How do we interpret its values across various timestamps?""TargetValue"" is only based on data for the first 60 min of training data. It has absolutely no relation with data after that time.Thanks,Vishal",0,None,5 ,Sun Aug 08 2010 22:47:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/55,/competitions/informs2010,None
/domcastro,Are the ID# the player ranks?,Hi - subject says it all really. Are the ID# the player ranks?thanks,0,None,1 Comment,Mon Aug 09 2010 00:14:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/56,/competitions/chess,None
/uriblass,questions about the data(order of games),1)Are the game results ordered based on date of playing them?2)Are the game of a specific month really from that month or maybe they can be from tournaments that are finished at that month and started at earlier month?,0,None,1 Comment,Mon Aug 09 2010 11:23:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/57,/competitions/chess,6th
/dirknbr,data description,"I think the data could be described better. There is no number of obs in the second row.Since the series have different number of obs, you want us the predict the next 4 values after the last obs of each series. Is that correct? If that is correct, you could have aligned the data better so all series have a value in the last row (row 44 or so)Dirk",0,None,15 ,Mon Aug 09 2010 16:01:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/58,/competitions/tourism1,41st
/leebaker,Programming languages poll,"Hello everyone,I participated in the Netflix prize a couple of years ago, and found it interesting how few languages were capable of successfully dealing with the quantity of data provided. I was excited to see that this contest is a bit different, in that the data set is small enough to allow the use of almost any language to process it.I'm a curious about which programming languages people are using to implement their solutions. I've seen in other threads that people use a variety of tools: Jeff Sonas appears to use MS SQL, Chris_R uses R, and Matt Shoemaker uses C#. I am currently using ~400 lines of Python, but am considering a switch to R.So here's the question- what programming language are you using? How many lines of code are you using to produce a submission?",0,None,33 ,Mon Aug 09 2010 18:36:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/59,/competitions/chess,140th
/jpl2091,Bad idea,"Bad idea: using bayeselo over the entire 100 months of training data. Doing this gets an RMSE of ~.74, worse than the Elo benchmark.My gut tells me this is because 100 months is far too long a time period to find a single rating for a player. Remi Coulom's WHR would address this problem but (right now) his paper is a little bit out of my intellectual grasp. Otherwise I could rather easily apply the bayeselo algorithm to smaller chunks and develop a good method to weight the different time periods.Basically: Assuming constant skill over ~10 years is not good. Whoda thunk it.",0,None,6 ,Mon Aug 09 2010 19:55:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/60,/competitions/chess,50th
/analytics360,Best MASE (3.20 or 2.28),"If I am not wrong, the best MASE obtained in the paper for forecasting 4 years is 3.20 (without explanatory variables) and not 2.28 as mentioned in this contest. Is that correct?",0,None,1 Comment,Wed Aug 11 2010 07:43:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/61,/competitions/tourism1,None
/imagedoctor,Accuracy on full data set,"Now the test samples have been released, I thought it might be interesting to see what the results could be achieved on the complete data set from the HIV progression competition.Some of the competition entries seemed to focus on specifics of the training and test set distributions, and it is potentially unknown how these would translate into full data set results, it may be enlightening to see the difference in performance. MCE estimation method - Mean of 10 fold cross validation using all available samples.My best effort so far is 75.5 accuracy, giving an MCE of 24.5.This attempt used a forest approach with some additional features based on Smith Waterman similarities and multi-layer perceptrons.It would be great to hear how other techniques fair using the same data and estimation method.Cheers,Matt",0,None,2 ,Wed Aug 11 2010 20:12:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/62,/competitions/hivprogression,47th
/gregwerner,Sumbission Descriptions,"Hi all,When I submit, the form asks me to enter a description of 600 charaacters or fewer. However, when I click on your submissions, my description gets cut off. How can I view my full submission description?",0,None,1 Comment,Wed Aug 11 2010 21:21:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/63,/competitions/tourism1,13th
/davidcurran,Alzheimer's Challenge,"Did you see [Link]:http://www.nytimes.com/2010/08/13/health/research/13alzheimer.html?pagewanted=1&_r=1&ref=global-home piece in the New York times about the use of open data in Alzheimer's research?""Rare Sharing of Data Leads to Progress on Alzheimer’s"" do you think further investigation of [Link]:http://www.adni-info.org/Scientists/ADNIScientistsHome/ADNIPublicationByNorbertSchuff.aspx dataset could yield improved results?Is this a similar enough problem to the HIV Progression data mining competition that we could use [Link]:http://kaggle.com/blog/2010/08/09/how-i-won-the-hiv-progression-prediction-data-mining-competition/ as evidence that a new competition might produce interesting results?Who might sponsor such a competition? In terms of companies or [Link]:http://www.alzheimers-research.org.uk/ or [Link]:http://en.wikipedia.org/wiki/Terry_Pratchett?This is related to the Competitions requests [Link]:http://kaggle.com/view-postlist/forum-15-kaggle-forum/topic-27-competitions-requests/task_id but I think it is useful to get some opinions of the practicality of both the task and of getting funding/publicity",0,None,4 ,Fri Aug 13 2010 11:32:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/64,None,None
/judowill,Calculating MASE from the excel file,"I've been trying to replicate the MASE calculation described in the excel file. However, it seems that the MASE is always 1.0. ... shown in cell I-26. Even playing with the prediction in the Naive column confirm this. Are we actually trying to minimize the In sample MAE ... shown in E-2? The description on the Evaluation page leaves much to be desired. Thanks, Will",0,None,5 ,Fri Aug 13 2010 23:59:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/65,/competitions/tourism1,None
/colingreen,Ratings -> Probabilities,"I'm interested in learning about how people are translating from a pair of ratings (rating for white and black player) into a game outcome probabilty.From teh top of my head I'm thinking:1) Simple diff truncated to [0,1]2) Diff then apply a sigmoid (logistic function) with range [0,1]3) Some scaling based on highest and lowest ratings or standarrd deviations from mean rating.",0,None,5 ,Sun Aug 15 2010 02:13:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/66,/competitions/chess,12th
/jasonbrownlee,How is final end-of-contest assessment calculated?,"I'm interested as to how the final results will be calculated. Will all submissions by all users be assessed against the full test set (as opposed to the 10% sample used in the leaderboard)? Alternatively, would the final ""best"" submission for each user listed on the leader be the only submission considered?The former would be more complete and not too computationally intensive if the total number of users/submissions is moderate, especially if 10% and full test set assessment is calculated at submission time. This case could also lead to participant confusion if there is a considerable mismatch between final (10% test set) leaderboard position and finalized (100% test set) outcomes. The latter case may provide an opportunity of missing out on some interesting techniques that turn out to perform well on the full dataset but not on the chosen 10% sample (if this is even reasonably possible). Anyway, I don't really mind either way - I'm just curious :)Jase.",0,None,10 ,Sun Aug 15 2010 12:24:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/67,/competitions/chess,17th
/del=5d7200d9c1104e80,regarding submissions score,it seems to me that the 10% random choice of games from the test set leads to a large variance in the score,0,None,21 ,Mon Aug 16 2010 16:39:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/70,/competitions/chess,98th
/uriblass,how many use a prediction that is based on simple rating calculation?,I define a simple rating calculation as a rating system when every player can calculate the next rating of himself only based on his results and the rating of his opponents and the old rating of himself(of course I assume that he know details about himself like how many games he played but he does not know all the results of the other players or specific details about them except their rating).I start with constant rating for every new player.The result prediction is based only on the rating of both players and the question who is white.I wonder how many here made prediction that is based on simple rating calculation and if the prediction of elo benchmark is based on simple rating calculation.I do not expect a simple rating calculation to win the competition but I hope that simple rating calculation can at least win against bench elo.,0,None,15 ,Tue Aug 17 2010 22:10:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/71,/competitions/chess,6th
/uriblass,changing the leader board,I see a significant improvement in the result after changing the leaderboardNow my prediction has the number 0.679248 when benchelo had 0.722448 when earlier benchelo was better than my prediction.With this big change from the previous prediction I wonder how much the leaderboard is really reliable.I want to have 95% confidence that A has better prediction than B based on the leaderboard. The question is what is the difference between RMSE(prediction A) and RMSE(prediction B) in the leaderboard to have 95% confidence that the better one has the better result in the full test data.I am afraid that we still cannot trust an improvement by 0.02,0,None,5 ,Wed Aug 18 2010 09:43:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/72,/competitions/chess,6th
/antgoldbloom,Solution file,Here is the solution file for anybody interested.,1,None,5 ,Thu Aug 19 2010 04:01:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/73,/competitions/worldcupconf,None
/vateeshc,Submission format,"This may sound a bit weird. But I have noticed that if the submission csv files do not strictly adhere to the suggetsed format, then I obtain volatile/different AUC scores on the same submitted results. What i have been doing without realising was that I was labelling the score column as ""Target Variable"", with a space in between. But when I removed the space on the same submitted dataset then I got a different result.Can I kindly request the administrators of this contest to look into this. Thanks. Rgds",0,None,5 ,Thu Aug 19 2010 10:16:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/74,/competitions/informs2010,44th
/leighherdman1,Evaluation Problem/Idea,"I'm quite happy with the format for the evaluation and understand why it was chosen. However there is one crucial problem with the evaluation processs. That is after using our training data, our ratings are then constant over the test dataset. Whereas is real life if being used they would be updated as results happen.obviously to do this, with people submitting their algorithms in different formats would make the evaluation process unfeasible. But maybe after the competition has ended, we could do a run-off against a more managable number, say the 10 to determine the grand winner ?",0,None,7 ,Thu Aug 19 2010 12:54:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/75,/competitions/chess,115th
/salimali,What tools are people using?,"Hi all,Anybody care to share with the rest of what tools they are using for this task?I've been in touch with a few competitors and there seems to be a wide range. SQL Server Data Mining, SPSS, SAS, R, own code etc.I am using R for the data manipulation - primarily because I haven't really used it before that much and wanted to discover what it could do. So far so good - although it is a bit different knowing what you want to achieve and then actually finding a way to achieve it - but a good learning experience.For the modelling I am using Tiberius - because I wrote this software and am familiar with it. Hope to test out R to see if it can do the same job for me though.Sali",0,None,2 ,Thu Aug 19 2010 23:23:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/76,/competitions/informs2010,3rd
/ahmeddassouki,Rule Clarification,"Thanks for putting out this competition. On page 5 of ""the tourism forecasting competition"" document are a set of rules. The fifth rule reads ""All models are estimated one only, and only one set of forecasts is produced for each series"". I was wondering if someone could expand on that statement.Thanks,AD",0,None,1 Comment,Fri Aug 20 2010 15:37:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/77,/competitions/tourism1,None
/vess22,Leaderboard,"Ok, after reading that the leaderboard scores are formed based on only 10% of the Results/Test data set (some couple hundred records), I am beginning to worry that it might be way off the score based on the whole Test set and therefore using the leaderboard to tune our models may be a very wrong thing to do in this contest.To give an example of my concerns: I trained a model without any internal cross-validation which gave me a AUC of 0.75 on the Train set and when I submitted my score on the leaderboard was 0.73. So, I thought great, this model is barely overfitting and is a pretty good one (at least for us 2nd tier contestants who use absolutely NO future information). But when later I tried to recreate an internal split/ordering/validation which would let me know without submitting how well I should do on the ENTIRE Test data set, I got much lower AUC of around 0.64. Which I am more likely to believe is what I'd get on the entire Test set based on its size and the assumption that chronologically it follows the records in the Train set. And when I test internally the model that gave me 0.73 on the leaderboard, I get even lower AUC of 0.61. So, I'm confused. Should we or shouldn't we use the 10% leaderboard test set to tune our models, or is that throwing us in the wrong directions. Because if we didn't have the leaderboard at all and we were to just blindly submit, I'd tune my model in a completely different way based on what I've observed so far.",0,None,1 Comment,Fri Aug 20 2010 19:24:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/78,/competitions/informs2010,77th
/jeffsonas,"Public leaderboard score for ""known FIDE ratings"" approach","In order to keep the contest both fair and manageable, only a subset of all known chess data has been made available to participants for downloading. For instance, FIDE ratings for many of the players in the training dataset are known as of the start of Month 1, and certainly as of the end of Month 100. But those are not provided for download, nor should it be feasible to work backwards from the data to figure out the identities of players, and therefore their real FIDE ratings at the time.The ""Elo Benchmark"" does not use the known FIDE ratings; it makes use of the same data that is available to all competitors, and nothing more. In fact all of the ""benchmark"" methodologies that we submit will be legitimate competitors in this regard. They are simply applications of known approaches, subject to the same restrictions as other submissions, entered in order to provide standards for measuring the effectiveness of novel approaches or tweaks to known approaches.Nevertheless, I thought it might be informative to ""cheat"" in order to determine one small piece of information to be made public. We used players' known FIDE ratings, as of the end of Month 100, in order to make predictions against the test dataset, and then calculated a leaderboard score for those predictions. Now, this is very unfair, competitively speaking, to the other submissions. FIDE ratings have several huge advantages over a comparable ""Elo Benchmark"" approach, especially these two: (1) Most of the players already had FIDE ratings going into Month 1, so relative rankings were already available (no need to spend precious months' data on seeding initial ratings) and the FIDE/Elo rating system could operate for a longer time, presumably a good thing. (2) The official FIDE ratings at the end of Month 100 incorporated a significantly larger set of game results for Months 1-100 than are available to competitors in the training dataset. Some of this was unavoidable (in many cases the game data literally does not exist electronically!), some of it was intentional (as part of the design of the contest), but it seems clear that having more data would help the predictive power of the FIDE ratings.Now, if competitors can overcome these huge handicaps, and still do better than the Elo-based FIDE ratings at predicting the same results in the test set, then we will almost certainly have identified a superior approach to Elo. Anthony and I remain committed to the idea of revealing nothing about the overall leaderboard while the contest is still running, but we have decided to reveal the public leaderboard score for this ""known FIDE ratings"" approach: 0.669205. Right now teams ""UriB"" and ""chaos"" have already surpassed this score, and surely others will as well in the weeks to come.",0,None,11 ,Sat Aug 21 2010 01:25:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/80,/competitions/chess,137th
/edwardcollins,How long until you might see name on Leaderboard,"Greetings,I've looked but I can't find the answer to this question in the Forum, or anywhere else on the site.How long after you submit an entry can you expect to see your name and result on the Leaderboard? For example, is the Leaderboard updated just once per day?Thanks in advance for your reply.",0,None,5 ,Sun Aug 22 2010 02:16:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/81,/competitions/chess,151st
/philippemanuelweidmann,Is anyone using neural networks?,Is anyone using or considering to use neural networks for prediction?Just curious.,0,None,3 ,Sun Aug 22 2010 09:50:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/82,/competitions/chess,5th
/leighherdman1,Benchmark ELO leaderboard figure.,"At the moment I'm playing about with optimising ELO as much as possible so I have something to compare with when finally implementing some of my own ideas. Yesterday I was playing about with the optimal K-values and found the optimal value on my seeded ratings was K=0! then I realised that I've made a schoolboy error and that I had produced my seeded ratings on the entire training set! so in effect I have totally overfiited my seeded ratings over the entire dataset and K=0 was the best as the seeded ratings already contain the future results.This is obviously something I am fixing now, and i'm having to completly rework my seeded ratings, but the reason why I raise this is that it produces a value of RMSE of 0.700, which is better than the benchmark ELO figure which in theory it should not . Because essentially I have a averaged a players ratings over the entire dataset, whereas ELO is weights for recent performance. So I'm puzzled by this?Also when the leaderboard was recalculated, I noticed most people got a boost of between 0.04 & 0.08 and ELO benchmark hardly moved at all (if it did)",0,None,1 Comment,Sun Aug 22 2010 20:36:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/83,/competitions/chess,115th
/philippemanuelweidmann,Players that don't play,It appears that a not insignificant portion of the 8631 players did not play a single game during the training period (player #15 being an example).Is that deliberate?,0,None,2 ,Tue Aug 24 2010 19:06:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/84,/competitions/chess,5th
/jeffsonas,About the Benchmarks,"There are a few well-known rating systems already, and I have been intending to ""benchmark"" many of those approaches in the near future. Within the first week I built the ""Elo Benchmark"" submission, which is already way, way back on the leaderboard. One of the reasons for this relatively poor performance is that I used a ""pure Elo"" approach, intentionally. I didn't analyze whether the games predicted by those ratings seemed to follow the Elo expectancy table (the table that defines expected score, given a difference in two ratings); I just assumed that they did. Anyone who is familiar with my writings on the Elo system will certainly know my claims that a linear expectancy model matches the empirical data better than the logistic expectancy model. But I wanted to do an approach that was as close to the Elo philosophy as possible. And I would expect that this approach hurts the Elo Benchmark's ability to predict the results in the test set, although I haven't actually looked at this.In any event, if I were to do a reasonable try at these various well-known rating systems, and not embarrass their respective inventors, I decided I would need a little more sophistication. Most rating systems that are competing here (not just the benchmarks) will have three main parts, all of which will need to be optimized in a well-performing system:#1. The calculation of an initial set of ""seed"" ratings#2. The operation of the rating system over an extended period#3. The specific prediction of the games in the test setIt is really #2 that I am most concerned with exploring and optimizing, and it is mostly in #2 where the well-known rating systems differ. The prediction part of it is obviously not a requirement for the implementation of a rating system. So in order to benchmark them against each other, I will try to handle #1 and #3 in a standardized way, and also in a reasonably optimized way. Only thus can we really hope to see how existing approaches truly compare to the novel approaches that many of you are developing.Now, something interesting about the Chessmetrics rating formula. It actually doesn't depend on an initial set of ""seed"" ratings, since its basic approach is to actually create a ""seed"" set of ratings each month based on past results, without the need for any prior ratings. I realized that I needed to build this anyway, if I wanted to benchmark Chessmetrics, and so I should start with building the Chessmetrics benchmark, since then I would have a standardized way to calculate the initial set of seed ratings for the other systems.One other point, relative to #3. For each system, I intend to look at its performance over the last N months of the training set and to develop a predictive model that can calculate expected score, given the ratings of the two players. I don't want to use a blind adherence to the Elo expectancy approach or to the linear expectancy approach. I also need to handle unrated players appropriately, which might be done differently for different systems. So I do plan to try and improve the Elo Benchmark a bit, so we can see how it really does relative to its other well-known rivals.Finally, let me emphasize that I am not eligible for prizes even if one of my benchmarks does finish in the top ten. I do plan to be quite transparent with the methodology I use for implementing each benchmark approach, since I think that will benefit the competitors the most. I know there are many people who would prefer not to share the details of their system yet, as they are trying to win, but fortunately I don't have to worry about that. So I will be sharing my methodology and maybe some code. Although apparently nobody else in the world, so far, would use SQL to tackle this problem!!",0,None,56 ,Thu Aug 26 2010 10:06:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/85,/competitions/chess,137th
/philippemanuelweidmann,Too few games,"There appears to be a rather large random element in the contest. About 80% of all players played less than 10 games during the entire training period. Whether or not an algorithm draws useful inference from less than 10 games depends as much on luck as on algorithm design. It might well be that inferior algorithms (or, especially, inferior parameters) perform better than more subtle designs which are simply overworked given the small amount of data they can work with. I have found that both Glicko-1 and Glicko-2 yield bad results for precisely that reason. I enjoy participating in the contest, but I do believe for the stated reasons that the contest is unlikely to produce the best possible system - rather, it will produce a system that fits the data best, but is unlikely to be optimal in most other cases (including real-world ones).",0,None,4 ,Thu Aug 26 2010 14:02:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/86,/competitions/chess,5th
/jeffsonas,About the Chessmetrics Benchmark,"As I am not competing for a prize in the contest, I thought it would be helpful for me to describe in detail the methodology used for the Chessmetrics Benchmark. That description is in the attached PDF file. I plan to do this as well for the other benchmarks I submit, although I expect those will be much simpler to describe.EDIT: Based on a couple of typos that people found, and also a clarification needed regarding the connected pool, I have updated the PDF to version 2. Changes are in big ugly bold red.",0,None,41 ,Fri Aug 27 2010 11:12:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/87,/competitions/chess,137th
/lt2062,Mistake in the example evaluation?,"Hi everyone!I took a closer look at the example evaluation ( http://kaggle.com/chess?viewtype=evaluation ). I suspect a mistake in table 2 in the calculation of the squared error for month 101, player 1.The total predicted score for player 1, month 101 is 0.18+0.35=0.53. The actual score is 2. Therefore the error is 1.47. For 1.47^2, I get 2.1609 which is not the 2.18 we see in the table.What's wrong?",0,None,1 Comment,Sat Aug 28 2010 21:28:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/89,/competitions/chess,60th
/iankorf,Elo simulations... not so good,"We have had several foosball (table football) tournaments at work, and we have used the Elo system as a way of ranking players. Looking at the rankings, it was clear to me that several people were not ranked correctly. So I decided to do some simulations. I gave each player a ""skill level"" that determined how often they scored goals. Games were the first to 10 points. I used two sets of players: (1) everyone has the same skill level of 0.5 (2) skill levels between 0.0 and 1.0 were distributed evenly among players. The idea was that a good ranking system should show that all players in group (1) have similar rankings and players in group (2) are ranked in the same order as their given skill level. This is not what happened. Players in group (1) had incredibly different rankings, and some were predicted to win by 80% or more. This is despite the fact that almost every player had the exact same win:loss ratio over millions of games. In group (2), the rank order of the players was grossly correct, but specifically flawed. So, in the best case scenario, where data is plentiful, Elo doesn't work very well. I would therefore not expect it to work in a realistic setting when data is sparse.The reason I suspected that Elo wasn't working was that we had 2 leagues, and open league and a women's league. The women at work do not play as much foosball, and are therefore generally not as skilled. But a couple of them did play a lot and were quite good. Because they beat all the other women, and rarely faced equal competition, their rankings were incredibly high. They were good, but not THAT good. It may be that such a situation does not occur in chess. I am not a chess player, and I don't know how matches are scheduled. So there may be some mitigating factors that make such situations rare. But even so, it's clear to me that one of the central flaws of the Elo system is that one just trades points back and forth between players.Let's say that the best soccer team in the US goes to play the worst soccer team in Europe and loses. We have not only learned something about those two teams, but both leagues as well. We would probably want to rank all of the European teams higher than the US teams (let's assume a sufficient number of games to be statistically significant). I believe that a ranking system should take into account all games at all times. I've done this, and I solved the foosball problem at work to my satisfaction. I also used the same system to rank various aircraft in World War II Online. Here, the Germans fight against the French and English. Since no countries fight against themselves, and the French and English never fight, the matrix of aircraft vs. aircraft is sparse. But my system worked well for that too. I am slowly adapting my ranking software for chess. There are a few issues that I haven't completely solved yet. For example, it appears that there are some differences in white vs. black skill level. So a single skill level may not be appropriate. How those skill levels result in wins, ties, and losses is something I have to experiment with. There's also the issue of having so many players and such a sparse player vs player matrix.Since I only work on this project at odd moments, it may be a while before I actually post some predictions.",0,None,12 ,Sun Aug 29 2010 00:21:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/90,/competitions/chess,None
/jeffsonas,About the Elo Benchmark,"I am trying to create and document a number of ""benchmark"" systems that implement well-known approaches to chess ratings. This will give us a ballpark estimate of which approaches seem to work better than others, as well as a forum for discussion about ideal implementations of these well-known systems. I know that many people are going to be hesitant to share too much about their methodologies, since they are trying to win the contest. This is perfectly understandable, but on the other hand I think it is good to get some concrete details out there. Since I am not eligible to win the contest, there is no reason why I shouldn't share my methodology for building the benchmark systems. In this post, I have attached a writeup on my implementation of the Elo Benchmark.The Elo Benchmark was one of the first submissions made in the contest, and is well back on the leaderboard. I just now submitted another try, using the Chessmetrics ratings as my seed (initial) ratings, as well as a linear expectancy model for predictions, and it did a lot better, but still is in no danger of finishing very high on the leaderboard. It will be very interesting to see whether any of the winners are fundamentally based on the Elo system, and what they did to improve so significantly upon the benchmark. Certainly if FIDE does eventually adopt the methodologies of any of these well-performing systems, the changes most likely to be generally accepted would be tweaks to the Elo system, rather than implementation of something drastic like a performance-rating-based list.",0,None,4 ,Sun Aug 29 2010 11:07:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/91,/competitions/chess,137th
/philippemanuelweidmann,Only rating systems allowed?,"The Description page says: ""Competitors train their rating systems ...""Does that mean that you have to use a rating system for prediction? If that is the case, it would be helpful to precisely define what a ""rating system"" is.",0,None,3 ,Mon Aug 30 2010 09:48:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/93,/competitions/chess,5th
/nuttacha,Question about data,"I am new in data mining and stock market but I need to enter this competition as a project of data mining course.I have some questions to ask.1. Are different variables are different stock? such as Var1 = IBM, Var2 = google, and Var3= oracle2. If yes, target variable of a row is a sum of all stock prices in that stock market that will decrease or increase after 60 min from that time?3. Some var don't have information because of what? Is it don't have, miss, or deleted?4. Why some var has only Last?5. I read some answer from other posts that most of the variables are numeric including stock prices, sectoral data, economic data, experts' predictions and indexes but If we don't know what number is that data how we can create a good model?Thank you",0,None,5 ,Tue Aug 31 2010 04:31:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/94,/competitions/informs2010,92nd
/del=9147e4df7f188a91,Decoding the timestamp,"Hi,Could you shed some light on how to decode the timestamp into a date?Thanks",1,None,5 ,Wed Sep 01 2010 09:50:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/95,/competitions/informs2010,None
/datalev,confirmation No real price value?,"Hi: just confirm We only have targetvalue variable which is either 1 or 0, but we do not have stock price (fot predicted stock). Then it is impossible to use timeseries method because it is impossible to know the auto-correlation or the trend of the target (stock price). Am I right?",0,None,1 Comment,Wed Sep 01 2010 23:04:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/96,/competitions/informs2010,12th
/uriblass,a bug in the forum?,only make a quick replied worked for me in the last post and I also could not edit that post to make spaces.I simply got some server error andI try to edit this post as a testEdit:It seems that the problem does not repeat in this thread but I tried many times to post my last post not in this thread and could not do it because of some server error.,0,None,9 ,Thu Sep 02 2010 08:56:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/97,/competitions/chess,6th
/philippemanuelweidmann,Cross-validated RMSE significantly worse than public RMSE,"Like many others, I use cross-validation to check my prediction system locally. I cut off months 96-100 and use months 1-95 to predict their results and calculate a RMSE.Lately, I've found that my local RMSEs computed by cross-validation are significantly and consistently worse than the public RMSEs from the same prediction systems, usually by at least 0.005, but sometimes by as much as 0.012. I find this to be quite strange since one should actually expect them to be better, given that almost 20% more data is available for the rating system to predict the future.Does anyone else experience the same phenomenon? Any possible explanations?",0,None,21 ,Thu Sep 02 2010 15:34:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/98,/competitions/chess,5th
/mercator,Target Variable corrresponds to which continuos variable,"I realize that we're trying to predict a stock's price 60 minutes in advance using a binary outcome. The actual result is in a column labeled ""TargetVariable"". But which of the other columns is ""TargetVariable"" based on? I need to know which column has the actual stock price that I'm trying to predict.Thanks,Andrew",0,None,3 ,Thu Sep 02 2010 19:52:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/99,/competitions/informs2010,None
/jeffsonas,Share your experiences so far?,"Hi everyone, thanks for all of the activity so far! I was thinking about writing a news update for Chessbase on the contest, now that it has been running for almost exactly one month. My own efforts at a well-performing Elo Benchmark haven't done so well, but I expect that some of you are using a modified Elo system with much better results. Or maybe you've adapted an existing approach, or (even better) introduced something not previously tried on chess ratings. Even spectacular failures would be interesting! Of course, I don't expect anyone to reveal all the details of their methodology, for competitive reasons. But if there is anyone out there who wants to share (at a high level) who you are, what is your connection to chess and/or data predicting and/or rating systems, and the results of your participation so far, I would really appreciate it! So for instance: what has worked, what hasn't worked, what you have noticed, basically anything about your experience so far participating in the contest. Especially if you are in the top 10 or 20, I would love to know just a few words about your best-performing approach, so I could characterize what we have learned so far about what works best, and whether Elo is still King...things like ""modified Elo"", ""tweaked Elo with player-specific color bonus"", ""Glicko but with activity bonus""... anything you want to share would be great!With the understanding that anything you share on this particular forum topic is fair game for me to include (exactly, or paraphrased) in a subsequent news article on Chessbase, sometime during the rest of 2010. Thanks!!",0,None,4 ,Thu Sep 02 2010 23:25:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/100,/competitions/chess,137th
/jeffsonas,About the PCA Benchmark,"I am trying to create and document a number of ""benchmark"" systems that implement well-known approaches to chess ratings. This will give us a ballpark estimate of which approaches seem to work better than others, as well as a forum for discussion about ideal implementations of these well-known systems. I know that many people are going to be hesitant to share too much about their methodologies, since they are trying to win the contest. This is perfectly understandable, but on the other hand I think it is good to get some concrete details out there. Since I am not eligible to win the contest, there is no reason why I shouldn't share my methodology for building the benchmark systems. In this post, I have attached a writeup on my implementation of the PCA Benchmark.The PCA ratings are historically important, as the only rating system with much notoriety in the past 20 years (other than Elo) that has been applied to international grandmasters on an ongoing basis, with rating lists published every month for several years. However, in implementing this system I quickly realized that the training dataset is not large enough to use the standard 100-game approach, and so I had to resort to a 15-game approach that I knew wouldn't work nearly as well. For Elo you can experiment with different K-factors in order to make the system more or less responsive, whereas for the PCA system you should be able to do something analogous with the game count (e.g., 50 to make it more dynamic, 200 to make it more conservative) but here this is not an option because of having insufficient data. If I can manage to produce a larger dataset it will be very interesting to run the PCA method and see how it does relative to Chessmetrics or other well-performing systems identified during this contest. In any event, I did the best I could for this significant rating system approach, and certainly there are some important concepts illustrated by this system that you won't find elsewhere in the other benchmarked systems. So I encourage people to read through it, if you are looking for ideas. In particular the approach to performance rating for a non-linear expectancy distribution is quite interesting.Special thanks to Ken Thompson for sending me the C code for his implementation of the PCA system. Kind of surreal to get that, sort of like having Richard Feynman send you a Feynman Diagram illustrating something...",0,None,1 Comment,Sun Sep 05 2010 12:53:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/101,/competitions/chess,137th
/pallavsarma,Scaling of predicted target variable,"Since the predicted target can be any real number, how are they scaled (if they are scaled at all) before comparing to the true target variable?Thanks",0,None,3 ,Tue Sep 07 2010 19:10:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/102,/competitions/informs2010,34th
/zhongliu,A couple of questions about the data,"I apologize in advance if some of the following questions have been asked or answered already. Here is a list of my questions .1. The target variable is the movement (decrease/increase) of a certain stock within the enxt 60 minus. Are the predictors open/high/low/last of other stocks from the previous 60 minus? If not, we cannot use them to predict. Right?2. In the training dataset, many variables (variable142, variable154 ) have same integer values for open/high/low/last. Are those valid values or we can simply treat them as missing?3. What is the interval of the time stamps? Every minute? Are they continuous or there could be some gap between two consective time stamps?4. Is there any specific reason besides the timing issue why only a 10% random sample from the testing dataset be used to check the model performance? The whole testing dataset is not very big (<3000 rows).Thank you very much!",0,None,2 ,Tue Sep 07 2010 20:54:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/103,/competitions/informs2010,112th
/onemillionmonkeys,Why Aggregate by Month?,Is there a good reason why the evaluation metric involves aggregating players' results by month? It seems like an unnecessary complication.,0,None,11 ,Fri Sep 10 2010 01:36:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/104,/competitions/chess,38th
/onemillionmonkeys,Annoying submission issue,"I was stumped for a while trying to make my first submission. I was getting an error to the effect that my file should be in CSV format. Since my file was in CSV format, as far as I could tell, I didn't know how to proceed. I finally figured out that the *filename* has to end in "".csv"". For a Unix person, this is non-obvious - not sure if this would be more intuitive to a Windows person.I would suggest you not impose any requirements on the filename. Failing that, I would suggest you make your error message more explicit. Thanks.",0,None,1 Comment,Sat Sep 11 2010 03:12:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/105,/competitions/chess,38th
/fredwu,coefficient of regression model,"Dear All, I may have one question regarding to the data structure. As I am new to predictive modelling, please point out if it is incorrect. For stock predict it might be other multivariate techniques can be used to predict the movement of the target price up or down, without building a regression model. However if someone building a regression model with other predictor stocks without knowing names, also like in other competition data, how do we know the sign of the coefficients of that variable is as we expected in the right direction?? ThanksG",0,None,7 ,Mon Sep 13 2010 06:22:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/106,/competitions/informs2010,None
/jeffsonas,About the Glicko Benchmark,"I am trying to create and document a number of ""benchmark"" systems that implement well-known approaches to chess ratings. This will give us a ballpark estimate of which approaches seem to work better than others, as well as a forum for discussion about ideal implementations of these well-known systems. I know that many people are going to be hesitant to share too much about their methodologies, since they are trying to win the contest. This is perfectly understandable, but on the other hand I think it is good to get some concrete details out there. Since I am not eligible to win the contest, and I am following publicly available descriptions, there is no reason why I shouldn't share my methodology for building the benchmark systems. In this post, I have attached a writeup on my implementation of the Glicko Benchmark. Actually this system did not require much description, since the inventor (Mark Glickman) has already provided excellent instructions on his website. I mostly just referenced those instructions within my PDF. I was actually surprised this system didn't do better in the standings; I thought it might place very high. I am realizing more and more, that perhaps the Chessmetrics approach has a significant advantage over systems like Elo, PCA, or Glicko, in that it allows us to re-interpret the strength of your opponents, based on their subsequent results after you played them. Perhaps ratings are just too imprecise to justify discarding all that useful information about how a player subsequently did after you played them. I'm still talking about only using information from the past when calculating the present rating for a player; it's just that we are using games from the recent past to reinterpret the meaning of a game from the distant past.",0,None,5 ,Mon Sep 13 2010 13:09:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/107,/competitions/chess,137th
/jeffsonas,About the Glicko-2 Benchmark,"I am trying to create and document a number of ""benchmark"" systems that implement well-known approaches to chess ratings. This will give us a ballpark estimate of which approaches seem to work better than others, as well as a forum for discussion about ideal implementations of these well-known systems. I know that many people are going to be hesitant to share too much about their methodologies, since they are trying to win the contest. This is perfectly understandable, but on the other hand I think it is good to get some concrete details out there. Since I am not eligible to win the contest, and I am following publicly available descriptions, there is no reason why I shouldn't share my methodology for building the benchmark systems. In this post, I am describing my implementation of the Glicko-2 Benchmark.There is very little to say here that I didn't already say for the Glicko system, under the ""About the Glicko Benchmark"" posting. There is an additional ""volatility"" parameter tracked for each player under Glicko-2. I found that the identical predictive model to Glicko worked well, and I used values of Tau=0.5 and Initial Volatility=0.6. It performed better than Glicko, by a small amount. Again, the system was very easy for me to implement because it was well documented by the inventor (Mark Glickman) here:http://math.bu.edu/people/mg/glicko/glicko2.doc/example.htmlEDIT: After some initial submissions where I let the Glicko system start its own rating pool from Month 1, I decided to try an approach where I used the Chessmetrics 48-month ratings as the initial ratings, and then started Glicko-2 running at Month 49 instead. This was with the formula for initial RD of 132/SQRT(TotalWeightedGames) + 25, for everyone who would thereby have a RD <= 350. This performed significantly better.",0,None,4 ,Mon Sep 13 2010 21:17:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/108,/competitions/chess,137th
/seyhan,AUC calculation and its actual accuracy,"Hi,I built a model based on the training dataset (with 10 fold xval for testing) and I have got 91% AUC accuracy on the training/testing of the model. But when I upload the scoring of the result datase produced by the same model, I received 67% accuracy of the scored data.I understant that the 10% of the score dataset AUC accuracy is shown on the website. I felt that either the model could score very well of the unknown data or the AUC accuracy of the total result dataset may be diffrent than (in this case very diffrent) what is shown on the web site. Is the 10% of data represents first ten percent or 10% is the sample of the overall AUC?Regards,Seyhan",0,None,2 ,Tue Sep 14 2010 02:24:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/109,/competitions/informs2010,56th
/tjohnson314,Arrow's Impossiblity Theorem,"Arrow created a list of axioms that an election must satisfy to be fair, and showed that no voting system could simultaneously fulfill all of them. http://en.wikipedia.org/wiki/Arrow%27s_impossibility_theoremThat's about the extent of my understanding, but I know that there are people here who have studied math for a lot longer than I have. I've been wondering: Does Arrow's Impossibility Theorem apply to chess rankings as well?",0,None,1 Comment,Wed Sep 15 2010 20:12:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/110,/competitions/chess,25th
/haraldkorneliussen,Has anyone used Bayeselo?,"Hi,As it happened, I had read a couple of very interesting papers on this topic, so I originally planned to make an attempt. However, I see now that I don't have the time (and honestly, I forgot about the whole thing) so I thought I'd share what I found in the hope that someone else can make use of it.The French computer scientist Remi Coulom, well-known for his work on the Go program Crazy Stone, has also written about the topic of elo estimation. He invented an approach he called Whole History Rating, which according to his results gives better predictions than (traditional) Elo, Glicko, TrueSkill, and decayed-history algorithms.http://remi.coulom.free.fr/WHR/He also has written a program that estimates elo scores in a bayesian manner (this program does not, as far as I know, implement the method described in the WHR paper).http://remi.coulom.free.fr/Bayesian-Elo/I tipped him about this competition, and he does not intend to participate. Since bayeselo is open source, and the WHR paper is published, I think it would be permissible for participants in this competition to use both.",1,None,6 ,Wed Sep 15 2010 21:30:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/111,/competitions/chess,None
/britvich,Alternatives to Month-Aggregated RMSE,"I did some testing of two alternatives to month-aggregated RMSE: game-by-game log-likelihood and predictability, to see if these prediction evaluators more accurately reflect the prediction ability of different rating systems. The details are in the attached PDF...",0,None,26 ,Thu Sep 16 2010 00:57:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/112,/competitions/chess,29th
/parijat,Query regarding data,"Hi,I guess I am quite late for the contest; but I am still giving it a try.My question:Is the target variable similar to some kind of a sensitive index? Is it a function of all other stock prices?Thanks,Parijat",0,None,3 ,Thu Sep 16 2010 10:26:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/113,/competitions/informs2010,None
/jorgealvarado0,Group joining,"Is group joining allowed in order to make linear combinations of groups? If so, what should we do to formalize it?",0,None,3 ,Fri Sep 17 2010 23:00:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/114,/competitions/tourism1,16th
/jorge2865,why distribution of test data is very different of training data,"Hello all,I have observed the next problem:I divided the training set into two parts (80% Train, 20% Test of the Train set) and developed my algorithm on train (80%), obtaining an average error of 0.51 on Test (20%). But when I throw the algorithm on test data (the web data, 7809 games), I get an error of 1.18!! ... the test data structure not is the same of train data structure ... ? and if so that, what good is test data?Thank you",0,None,8 ,Mon Sep 20 2010 23:14:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/115,/competitions/chess,180th
/jeffsonas,Cross Validation Dataset,"For purposes of analysis, it would certainly be desirable for the 5-month test set and the final 5 months of the training set to have similar characteristics. However, that approach would have brought a significant problem. There are always new players entering the pool of active players. Many of the games being played in any given month will include players that have either never played previously, or only played a few games previously. Thus the score of any given submission would depend heavily on the treatment of these ""unrated"" or ""provisional"" players, although they were not intended to be the focus of the competition; the focus was supposed to be on players with a reasonably established history of games. Therefore the decision was taken (during preparation of final datasets for the contest) to apply a filter to the games in the test set, so that it would focus primarily on more established players. Without filtering, the test set would have contained 18,739 games, whereas application of the filter resulted in a test set with only 7,809 games instead, and that was used as the final test set. All players included in the test set had played at least 12 ""fully rated"" games in the final 48 months of the training set, where a ""fully-rated"" game is one in which both players already have a FIDE rating at the time of the game. Some participants have expressed the desire to apply the same filtering methodology to the final 5 months of the training set, in order to perform appropriate cross-validation. However, with the previously available data, it is not possible for participants to recreate the logic of the filtering criteria on their own. This is because the filtering criteria included knowing whether players possessed official FIDE ratings at the time they played games in the training dataset, and this information was not included in the training dataset. So we have decided to provide a ""cross validation dataset"", a filtered set of the final 5 months of the training dataset that retains the characteristics of the test set as much as possible. This is because the cross validation dataset uses filters analogous to those that were originally applied to the test set. That is, all players included in the cross validation dataset had played at least 12 ""fully rated"" games in months 48-95 of the training set, where a ""fully-rated"" game is one in which both players already have a FIDE rating at the time of the game.So for instance, in the original training set, there are 2,216 games included for Month 98. Some of these games involved one or two brand-new players, and some of the games involved one or two ""provisional"" players whose ratings would be quite uncertain because they had only played a few games previously. And some of the games were between established players, who had played in at least 12 ""fully-rated"" games in the training set across the 48 months prior to Month 96 (i.e. months 48-95). Application of these filters to the full set of 2,216 training games played during Month 98 reveals that only 533 of the games played in Month 98 would pass the filters, and thus the ""cross validation dataset"" now contains exactly those 533 games for Month 98. The entire cross validation set (which only includes months 96-100) contains 28% of the games from the training set for months 96-100, or a total of 3,184 games.We have made this cross validation dataset available on the ""Data"" page. We expect that it can be productively used for cross validation where Months 96-100 are treated like the test set.",0,None,25 ,Tue Sep 21 2010 02:48:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/117,/competitions/chess,137th
/philippemanuelweidmann,Plateau?,"Has anyone else noticed that we appear to have hit a performance plateau?The top position of the leaderboard has not improved for an incredible 3 weeks, while I myself would have kept my 4th place with a submission from 1 week ago. The number of people who have beaten the Chessmetrics benchmark barely changes at all (it only went from 8 to 9 in the past week).Remembering the end of August, where I would wake to find myself pushed back 5 places from where I had been when I went to sleep, this is quite a change.And all this in spite of the fact that most people in the top 10 appear to submit every single day!Almost every day, I try out a new idea, often with substantial improvements in local validation. But on the public list, I creep forward at a pace of about 0.0001/day. It appears that others are experiencing the same thing.Any explanations?",0,None,4 ,Tue Sep 21 2010 11:31:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/118,/competitions/chess,5th
/jasontrigg,Naive Baseline,"Just want to check that my formatting is right here - when I set the prediction for month n+1,n+2,...n+24 = value at month n and quarter q+1,...q+8 = value at q, I get MASE of 4.40695 - anyone else getting that?",0,None,2 ,Thu Sep 23 2010 07:08:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/120,/competitions/tourism2,17th
/philippemanuelweidmann,The Cross-Validation Score/Public Score Correlation Thread,"In the past two weeks, it has seemed to me that finding a good way of locally predicting public performance changes is more important than making systematic breakthroughs. I expect that most of the top 10 will have very solid systems by now, with several parameters that give vastly different scores when tuned.Now that thanks to Jeff we have a standardized cross-validation dataset available (on [Link]:http://kaggle.com/chess?viewtype=data) I think it is time to investigate correlation between cross-validated scores and public scores to see whether cross-validation is worthwhile at all or whether we're better off relying on intuition and public scores.I use the cross-validation dataset to calculate two local scores:The RMSE of months 96-100, as described on [Link]:http://kaggle.com/chess?viewtype=evaluation (""RMSE"")The sum of squared errors of all games in months 96-100 (""Score Deviation""), without any accumulation by player or monthYesterday and today, I have uploaded three predictions, which gave the following results:Standard prediction, roughly equivalent to my current best approach though with slightly different parametersPublic RMSE: 0.658927Cross-validated RMSE: 0.587583Cross-validated Score Deviation: 353.758845Engine from (1.), parameters optimized for best cross-validated RMSEPublic RMSE: 0.665807 Cross-validated RMSE: 0.581893Cross-validated Score Deviation: 348.038198Engine from (1.), parameters optimized for best cross-validated Score DeviationPublic RMSE: 0.671451 Cross-validated RMSE: 0.584796Cross-validated Score Deviation: 346.815002Needless to say, the data is highly discouraging. It would appear that there isn't any substantial correlation between cross-validated scores and public scores at all. Of course, though, three data points are not the end of the story. That's why I would like to encourage everyone to post their own cross-validated scores along with the corresponding public scores to this thread. Everyone will profit from the results we gather, in either one of two ways:If we find that there really is no correlation, we can simply stop cross-validating, and search for better approaches to local validationIf we find that there is a correlation after all, those whose own correlations are weak (as mine seem to be) are probably overfitting, and should reduce the number of parameters in their systemLet's hope this allows us to overcome the current plateau at last!Cheers,Philipp",0,None,26 ,Thu Sep 23 2010 09:29:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/121,/competitions/chess,5th
/gregwerner,Past Submission Links Broken?,"I am getting dead links to all of my .csv submission files before today. I just submitted my seventh submission which I can retrieve, but my first six are not accessible.",0,None,2 ,Thu Sep 30 2010 05:26:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/122,/competitions/tourism2,12th
/wilmahan,"Hi, I'm writing a new chess server","Hi all,For a few months now I've been working on a free and open source chess server modeled after freechess.org (FICS). So when I read about this competition I was immediately interested. As some might know, freechess.org currently uses Glicko ratings, and that system has worked well for years.Unfortunately, it seems I probably won't be able to use the winner of this competition as a drop-in replacement for Glicko. The problem is that players on FICS expect their rating to be updated immediately after a game (in fact, they are informed of prospective changes before each game; for example, ""Your lightning rating will change: Win: +3, Draw: -5, Loss: -14"").Based on my brief investigation of Chessmetrics, I think it isn't designed to allow such instant updates, although I would happy to be wrong about that. (Incidentally Glicko 2 has a similar drawback; it groups games into ""rating periods"" considered to take place simultaneously.) I don't think a rating period of a day or more, much less a month, is feasible on an online server, where users expect instant feedback.So my question is, does anyone have a system that outperforms Glicko that can provide this sort of instant updating? Is such a thing even possible? To be honest Glicko seems close to ideal for my needs, but I thought it couldn't hurt to search for something better.I expect many people in this forum have thought this subject more than than I have, so any hints or comments would be welcome.",0,None,11 ,Thu Sep 30 2010 22:46:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/123,/competitions/chess,None
/aarthimanoharan,More Details on Data,"It would be good if we know what kind of data we have. All we have are 793 series and no date variable, or details about the region it is given for. Want to know if we can use causal variables, for which we need to know some details about the region. Can we get that data ?",0,None,6 ,Fri Oct 01 2010 11:01:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/124,/competitions/tourism2,None
/dejavu,only last submission counts?,I apologize if thiis question has already been answered. Does only the last submission count?,0,None,8 ,Sat Oct 02 2010 18:13:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/125,/competitions/informs2010,1st
/arimaagame,Error in Table 2 row 1,On the page describing the evaluation process: [Link]:http://kaggle.com/chess?viewtype=evaluation should the 'Squared Error' value in Table 2 row 1 be 2.16 instead of 2.18.,0,None,4 ,Sat Oct 02 2010 19:18:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/126,/competitions/chess,40th
/arimaagame,Checking RMSE calculation,"Just to check that I am calculating RMSE correctly; if you predict draws for all the games in the cross_validation_dataset.csv file and calculate RMSE using all the games, do you get a value of 0.6554. I did a test and predicted draws for all the games in the test_data.csv file. It got a RMSE value of 0.7921.",0,None,5 ,Sun Oct 03 2010 06:36:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/127,/competitions/chess,40th
/arimaagame,Game results for test data after contest,"Jeff, can you provide the test_data.csv file with the game results column added after this contest is over? That will allow us to verify our final RMSE. Thanks.",0,None,3 ,Mon Oct 04 2010 16:04:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/128,/competitions/chess,40th
/dejavu,attending INFORMS,Just curious how many contest participants plan to attend. I will be there.,0,None,1 Comment,Wed Oct 06 2010 19:00:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/129,/competitions/informs2010,1st
/louisduclosgosselin,Invitation to the INFORMS Data Mining Contest Special Session!,"Dear All, All of the INFORMS Data Mining Section crew invite you to join us at INFORMS Annual Meeting - Austin, Texas, November 7-10, 2010 At this event, there will be an INFORMS Data Mining Contest Special Session on Tuesday Nov 09, 08:00 - 09:30. In this session, we will present the INFORMS Data Mining Contest results and the methods used by the top competitors. We will also give the commemorative Awards/Plaques to the top three competitors (general ranking) and to the best competitor which did not using future information. If you will be at this event send me an e-mail at [Link]:mailto:louis.gosselin@hotmail.com. Moreover, we invite you to join us at our Data Mining Section Business Meeting 6:15pm-7:15 pm Sunday night, it should be in hilton. In addition, don’t miss all others Data Mining Session of the event ( [Link]:https://informs.emeetingsonline.com/emeetings/formbuilder/clustersessionlist.asp?clnno=2377&mmnno=196) That will be nice meeting you. Thanks a lot. Let's keep in touch. I am looking forward earning your news. Best regards. Louis Duclos-Gosselin Chair of INFORMS Data Mining Contest 2010 Applied Mathematics (Predictive Analysis, Data Mining) Consultant at Sinapse INFORMS Data Mining Section Member E-Mail: Louis.Gosselin@hotmail.com http://www.sinapse.ca/En/Home.aspx http://dm.section.informs.org/ Phone: 1-866-565-3330 Fax: 1-418-780-3311 Sinapse (Quebec), 1170, Boul. Lebourgneuf Suite 320, Quebec (Quebec), Canada G2K 2E3",0,None,3 ,Thu Oct 07 2010 13:49:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/130,/competitions/informs2010,None
/dirknbr,Revised file,I am getting an import error with the revised file.Error: new-line character seen in unquoted field - do you need to open the file in universal-newline mode?What system was this file created on: Unix or Windows?Dirk,0,None,2 ,Fri Oct 08 2010 11:10:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/132,/competitions/tourism2,32nd
/louisduclosgosselin,And the winner is ...,"Dear All, I am pretty proud to announce the following top 3 winners from the overall ranking: 1) Cole Harris from DejaVu Team 2) Christopher Hefele from Swedish Chef Team 3) Nan Zhou from Nan Zhou Team The top 3 winners from the “not using future information” ranking will follow in a couple of days, after asking to all competitors if they used or not future information. In brief, in the INFORMS Data Mining Contest 2010 there was: -893 participants -147 competitors which submitted their solutions -28 496 visits on the competition website We will give the commemorative Awards/Plaques to the top 3 competitors (overall ranking) and to the best competitor which did not using future information at the INFORMS Data Mining Contest Special Session at INFORMS Annual Meeting - Austin, Texas, November 7-10, 2010. If competitors can’t be there, we will send commemorative Awards/Plaques by mail. Moreover, we are writing an article about the competition’s results. We will share this article on this forum soon. Thank you all! It was a wonderful challenge! The most eminent Data Miners of the planet fought for the victory ;)! Similar challenge will be laugh next year for the INFORMS Data Mining Contest 2011. P.S.: Don’t forget to send us your abstract about the methods/techniques you used (louis.gosselin@hotmail.com). P.S.S.: Thanks to my sponsors, organizing team members and to Kaggle for making this competition happen! Thanks a lot. Let's keep in touch. I am looking forward earning your news. Best regards. Louis Duclos-Gosselin Chair of INFORMS Data Mining Contest 2010 Applied Mathematics (Predictive Analysis, Data Mining) Consultant at Sinapse INFORMS Data Mining Section Member E-Mail: Louis.Gosselin@hotmail.com http://www.sinapse.ca/En/Home.aspx http://dm.section.informs.org/ Phone: 1-866-565-3330 Fax: 1-418-780-3311 Sinapse (Quebec), 1170, Boul. Lebourgneuf Suite 320, Quebec (Quebec), Canada G2K 2E3",0,None,49 ,Sun Oct 10 2010 04:39:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/133,/competitions/informs2010,None
/dirknbr,missing maintainer,"I just looked at the test data and between rows 2829 and 2847 the maintainer is missing. Sophie is also changing her email within the same package, why?",0,None,1 Comment,Sun Oct 10 2010 13:20:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/134,/competitions/R,14th
/johnmyleswhite,Dealing with Messy Data,"Several people have pointed out various flaws in the data that we've released. We'd like to address these now before contestants start to worry.There are a variety of duplicate rows in the data we've provided: see, for example, the rows in 'installations.csv' pertaining to users with the package 'fuzzyOP' installed.There are also missing entries: see, for example, the rows in 'maintainers.csv' for the package 'brainwaver'. This is information that was either not present on CRAN or too difficult for us to parse during our first pass through the package source code.Hopefully it won't upset the sensibilities of the contestants to say this, but we see this messiness as a virtue rather than a vice: an algorithm that isn't robust to imperfect data could never be used in the wild as the backend for a recommendation system. You should use your own judgment to decide how to address imperfections in the data. Treat the duplications as you see fit. And address missing data using whatever tools you'd like, whether by acquiring the information directly or using statistical missing data tools to impute a reasonable substitution.",0,None,1 Comment,Sun Oct 10 2010 14:50:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/135,/competitions/R,None
/dirknbr,depends,"The depends file has some line breaks after >=, can you correct this.",0,None,1 Comment,Mon Oct 11 2010 10:58:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/136,/competitions/R,14th
/ricotero,which submission was the best?,"Hi,i'd like to know if there is a chance to see which of my submissions was the best.Regards,Ricardo Otero",0,None,2 ,Tue Oct 12 2010 00:30:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/137,/competitions/informs2010,37th
/jeffsonas,Suggestions for the next chess ratings contest?,"Hi everyone, we are approaching the final month of the contest, which will end on November 14th. I have been, and continue to be, amazed by the level of participation so far. I had no idea so many people would participate. For the past dozen years I have found chess-related statistics to be a fascinating topic and apparently I am not alone! I look forward to the final results of the contest and learning the details from anyone who is willing to share their methodology.Certainly this contest has been a learning experience for me; I had never done anything like it before and I'm sure there is a lot of room for improvement. Over the course of the various forum threads, I have seen a lot of (mostly constructive) criticism about the contest, and so I wanted to take the chance to focus that energy as productively as possible. I would like to do a follow-up contest, and I would like the contest to be better, wherever possible. So... do you have any suggestions?It may seem like I haven't spent as much time on the contest lately, but actually I have been working very hard on a related task - coming up with more data. I have two distinct sources of data (datasets provided to me by the FIDE database programmers, and the Chessbase historical game databases) and unfortunately the only way to come up with suitable data for our needs in this contest is to manually reconcile the differences in tournament name spelling, player name spelling, and reported game outcomes, between the two sources. Across thousands of tournaments and millions of games. Although it is a daunting task, I have tried to be clever where possible and let the database do the heavy lifting. It is going quite well. Compared to the current ongoing contest, I anticipate having at least 5x the training data and at least 10x the test data (probably even more).Thanks to improvements in how FIDE has collected the data in recent years, there is a 20-30 month period at the end that I would like to use for the test dataset, since there is so much data. For the current contest, I didn't want to make the results of the test games available, because then people could cheat and simply submit those results as their predictions. I couldn't split the test dataset into two parts because there just wasn't enough of it. But keeping the test results secret meant that ratings would get increasingly stale as we moved further away from month 100. In the original contest design I decided that month 105 was as far as I was willing to go for this.However, if we are in possession of a very large dataset across those final 20-30 months, it seems that I could randomly split up the test dataset into two disjoint sets, and use one of them (S1) as the test dataset, and one of them (S2) as the final months of the training dataset. A drawback is that this would allow people to ""use the future to predict the past"" by, for instance, using a player's results across months 104-115 from S2 in order to predict a rating for the player going into month 104, and therefore make a more accurate prediction of the player's results in month 104 of the test dataset S1. I don't want people to do this, because it is not useful toward developing an ideal ""real-world"" rating system, but perhaps this could be enforced informally rather than being built into the design of the contest. There is a huge upside, in that the test set can stretch for a longer duration. People could use a player's results (for instance) across months 104-115 from S2 in order to predict a rating for the player going into month 116, and therefore make a more accurate prediction of the player's results in month 116 of the test dataset S1. In other words, ratings don't need to get stale and we can use a significantly longer test period, such as 20-30 months.So I am currently thinking to keep pushing forward on this data cleaning effort over the next few weeks, and then to start a second contest after the current one finishes, with significantly larger datasets. I would still keep player identities a secret, still exclude some small fraction of players and some small fraction of games (to keep people from looking up real results after identifying players). And I would split up the data from the final 30 months so that half of it is training data and half of it is test data. I will still need some sort of filter for that final period so that provisional players don't dominate the test set, and therefore we would still need a ""cross-validation training dataset"" for the final 30 months so that you can do cross-validation on a similar dataset. Presumably in this case the cross-validation training dataset would be more similar to the test dataset than in the current contest. But in any event I would build these transparently from the very start, instead of having to add them in mid-stream. And finally, I still need an evaluation function such as the RMSE we are currently using, or something better, if someone can convince me it is better.Any ideas? This is your big chance to make the next contest better, so please take the opportunity to share your thoughts now!",0,None,31 ,Tue Oct 12 2010 00:52:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/138,/competitions/chess,137th
/louisduclosgosselin,ResultFile with TargetVariable values,"Dear All, For those which requested the ResultFile with TargetVariable values, I attached the file to this post. It’s highly appreciated. Thanks a lot. Let's keep in touch. I am looking forward earning your news. Best regards. Louis Duclos-Gosselin Chair of INFORMS Data Mining Contest 2010 Applied Mathematics (Predictive Analysis, Data Mining) Consultant at Sinapse INFORMS Data Mining Section Member E-Mail: Louis.Gosselin@hotmail.com http://www.sinapse.ca/En/Home.aspx http://dm.section.informs.org/ Phone: 1-866-565-3330 Fax: 1-418-780-3311 Sinapse (Quebec), 1170, Boul. Lebourgneuf Suite 320, Quebec (Quebec), Canada G2K 2E3",0,None,13 ,Wed Oct 13 2010 13:57:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/140,/competitions/informs2010,None
/louisduclosgosselin,Preliminary “not using future information ranking”.,"Dear All, According to the preliminary answer you gave us and to our analysis, this is the preliminary “not using future information ranking”. This is the first attempt. Feel free to correct us and indicate which submission you done in not using future information. For the competitors having N/A symbol for AUC, please tell us which submission you did which not using future information, we will update the file. I mean by using future information: -Using information of time0+i to make prediction of time0. In consequence, not using future information is not using time t+ ... information to build the model, because this information will not be available in real time solution. -Using the information of the test set to build better predictive analysis solution. In consequence, ""not using future information"" is ""score"" the test set with model found in the training set. Congratulation to all! This was a nice challenge. Tell us more about (this is an important part of knoweldge discovery process ;)): Abstract (summarize the methods/techniques you used) Preprocessing (Replacement of the missing values?; Discretization?; Normalizations?; Grouping modalities?; Principal Component Analysis?; Other preprocessing techniques?) Feature selection (Feature ranking?; Filter method?; Forward / backward wrapper?; Embedded method?; Wrapper with search? Other Feature selection techniques?) Classifier (Decision Tree?; Gradient Boosted Decision Tree?; Random Forest?; Support Vector Machine?; Logistic Regression?; Discriminant Analysis?; Kernel Logistic Regression?; Multilayer Perceptron Neural Network?; RBF Neural Network?; Polynomial Neural Network?; Cascade Correlation Neural Network?; Bayesian Neural Network?; Other Neural Network?; Bayesian Network?; Markov techniques?; Naïve Bayes?; Nearest Neighbors?; Time series techniques?; Econometrics techniques?; Specialized financial techniques?; Other Classifiers?) Model selection (10% validation database?; K-fold or leave-one-out?; Out-of-bag?; Bootstrap?; Virtual leave-one-out?; Penalty-based?; Bi-level?; Bayesian?; Other cross-validation techniques?; Other model selection techniques?) Ram Memory used to build the model? Parallelism (No?; In parallel?; Multi-computer?; Cloud computing?; Other?) Software Platform (C?; C++?; Java?; Matlab?; SAS?; R?; Other?) Software availability (Proprietary in-house software?; Commercially available in-house software?; Freeware or shareware in-house software?; Off-the-shelf third party commercial software?; Off-the-shelf third party freeware or shareware?) Operating system (Windows?; Linux?; Unix?; Mac?) Did you use future information, if yes, explain how? Did you make use of the result database for training? Thanks a lot. Let's keep in touch. I am looking forward earning your news. Best regards. Louis Duclos-Gosselin Chair of INFORMS Data Mining Contest 2010 Applied Mathematics (Predictive Analysis, Data Mining) Consultant at Sinapse INFORMS Data Mining Section Member E-Mail: Louis.Gosselin@hotmail.com http://www.sinapse.ca/En/Home.aspx http://dm.section.informs.org/ Phone: 1-866-565-3330 Fax: 1-418-780-3311 Sinapse (Quebec), 1170, Boul. Lebourgneuf Suite 320, Quebec (Quebec), Canada G2K 2E3 # in Not using future information ranking Team Name AUC # in overall ranking 1 ams2009 0.755014 39 2 jumper 0.734956 40 3 piaomiao 0.688508 41 4 Data Diggers 0.670962 42 5 Sooners 0.635784 43 6 tigertail 0.612293 6 7 IAD 0.597695 44 8 Narad 0.585651 45 9 Tidy 0.584686 46 10 PedroM 0.578073 47 11 chandv 0.575193 48 12 trapezoidal 0.573176 49 13 Montgomery 0.571047 50 14 The Straightrollers 0.560668 27 15 Evacuation Path 0.559818 51 16 Seyhan 0.556843 52 17 La Pata de Condorito 2010 0.556464 53 18 Nikesh 0.555747 54 19 Dirk Nachbar 0.554522 55 20 Fabien 0.554414 56 21 Nonsense 0.554379 57 22 musimians 0.554157 58 23 linkers 0.553485 59 24 PRPILS 0.552445 60 25 Olteanu And Roberts 0.55208 61 26 free 0.55045 62 27 pivot 0.549926 23 28 SURF 0.549812 63 29 cubsnsox 0.548104 64 30 IEORTools 0.548002 65 31 maomiw 0.547772 66 32 pyk 0.545954 16 33 Gilles 0.545831 67 34 Troae 0.54564 68 35 SimplestModel 0.544957 69 36 RTech 0.54204 70 37 Blue Devils 0.539623 71 38 Terran 0.539199 72 39 MultiAlgo 0.538621 73 40 Julioxa69 0.537271 74 41 TeamBad 0.536395 75 42 mjahrer 0.53591 76 43 Groovy 0.534866 77 44 kebert xela 0.531118 78 45 user1 0.530795 79 46 Naif_professor 0.529691 80 47 Joe.l.lin 0.52933 81 48 InflectionPoint 0.529228 28 49 LYA 0.529173 82 50 apmid 0.528144 83 51 dermcnor 0.527202 84 52 Joe 0.526728 85 53 fguillem 0.526322 86 54 W Team 0.526231 87 55 UC Berkeley 0.525411 88 56 prashant215 0.523908 89 57 closer 0.523151 90 58 ANDRUVILLA 0.522205 91 59 MonkeyWrenchGang 0.521439 92 60 Braddon 0.519717 93 61 null 0.519266 94 62 moe1 0.517455 95 63 Mission Impossible 0.51687 96 64 Team Cash 0.514578 97 65 image_doctor 0.513651 98 66 lynn 0.513465 99 67 Analytics360 0.513386 18 68 Parkville 0.513237 100 69 404 0.512652 101 70 GoF 0.512652 102 71 GnohZnutlll 0.512439 103 72 testname 0.512362 10 73 Moprhism 0.511837 104 74 Les fous du volant 0.511796 105 75 unsown 0.510536 106 76 NoFI 0.509391 107 77 JustForFun 0.508996 108 78 mikejs 0.508228 109 79 JohnChachy 0.507712 110 80 JMOJPD 0.507137 111 81 JavierV 0.506663 112 82 DME 0.505491 113 83 Team 0.50418 114 84 zqzir 0.504105 34 85 standard_methods 0.503738 115 86 H. Solo 0.502834 7 87 JAGC 0.502822 116 88 jtdggt 0.502585 117 89 Team3256 0.502585 118 90 bubac 0.502145 119 91 FJ_TEAM 0.501876 120 92 Xenon 0.50117 121 93 crossroad 0.500889 122 94 Elgin 0.500145 123 95 Barrabas 0.5 124 96 Yan Papadakis 0.499957 125 97 BrainTrader 0.498423 126 98 Luis Manuel Pulido Moreno 0.496925 127 99 shahrdar 0.494812 128 100 PAYALE 0.493665 129 101 Stat 0.489821 130 102 Solo 0.489342 131 103 investor 0.489047 132 104 overdrive 0.488663 133 105 hcj 0.488458 134 106 example only 0.488458 135 107 NYAlfred 0.488151 136 108 JF_TEAM 0.487353 137 109 Agnesios 0.476311 138 110 awc 0.475525 139 111 R2C 0.475196 140 112 Bodner Mining 0.466368 141 113 MiningMaster 0.461172 142 114 Cruncher 0.456775 143 115 bayesTrees 0.452813 144 116 trenderIy 0.450456 145 117 delta 0.44343 146 118 SAM2009 0.259414 147 N/A dejavu N/A 1 N/A Swedish Chef N/A 2 N/A Nan Zhou N/A 3 N/A sali mali N/A 4 N/A DayTrader N/A 5 N/A DataKiller N/A 8 N/A atom N/A 9 N/A xli N/A 11 N/A Knock N/A 12 N/A datalev N/A 13 N/A Timo Alan N/A 14 N/A Jiahan Li N/A 15 N/A MTech QROR N/A 17 N/A 3Sigma N/A 19 N/A Passionalytics N/A 20 N/A Nambiar N/A 21 N/A LikeSushi N/A 22 N/A Allen_Zhou N/A 24 N/A hackerdojo N/A 25 N/A rwrw N/A 26 N/A Soumik N/A 29 N/A PG Vijay N/A 30 N/A SuperCorn N/A 31 N/A MarketMaker N/A 32 N/A kkoo N/A 33 N/A leverw N/A 35 N/A Aryabhatta N/A 36 N/A Robert N/A 37 N/A 3idiots N/A 38",0,None,2 ,Wed Oct 13 2010 20:01:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/141,/competitions/informs2010,None
/jhoward,Re:Re:Re:Re:What the data looks like,"I've created a JavaScript-based [Link]:http://jhoward.fastmail.fm/test/KaggleTimeSeries2/..As you'll see from the charts, there's quite a range of interesting patterns visible in the data. Let me know if you find this useful, or if you have any thoughts.",0,None,3 ,Thu Oct 14 2010 04:27:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/142,/competitions/tourism2,2nd
/stephendmckay,"AUC = 0.979, approaching perfection?",Anyone able to translate this into a rough measure of how many are being misclassified by such an excellent score!,0,None,1 Comment,Thu Oct 14 2010 20:29:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/143,/competitions/R,47th
/johnmyleswhite,Re:Revised Example Model,"All, To encourage people to push forward with this contest and not despair over the high performance of the top teams, we're releasing a new example model. As you'll see, we've literally only changed one line in the example code, but the new model's AUC is much higher because it accounts for variability in the users, which was not accounted for at all by the original model. Go to the [Link]:http://github.com/johnmyleswhite/r_recommendation_system to see the revised model.",1,None,5 ,Sun Oct 17 2010 01:45:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/144,/competitions/R,None
/ivan23133,Re:Re:Bug in train/test split,"Hi,So, we have 52 users and 2487 packages (btw, ""packages.csv"" is missing ""R"" and ""base"" packages). That gives 129324 user/package combinations. But$ wc -l test_data.csv training_data.csv 33126 test_data.csv 99374 training_data.csv 132500 totalSo there are 132500-2-129324 = 3174 records that are redundant or overlapping between train and test sets.I've checked ""installations.csv"" and it indeed contains 1103 user/package pairs for which there's a record with Installed= 'NA' (which means it's part of the test set) and another record with Installed='0' or '1'.",0,None,1 Comment,Sun Oct 17 2010 03:10:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/145,/competitions/R,7th
/philippemanuelweidmann,Amazing new theme,"Anthony,let me say that I was just amazed by the beautiful new Kaggle theme. This is a gigantic improvement and looks very professional.Looking forward to competing in future contests on this wonderful site.Cheers,Philipp",0,None,1 Comment,Sun Oct 17 2010 08:30:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/146,/competitions/chess,5th
/philippemanuelweidmann,4 Submissions per day???,"The submission page now reads: ""This contest only allows you to make 4 submissions per day.""I haven't tested that yet, but I presume this is a mistake caused by transition to the new theme.",0,None,2 ,Sun Oct 17 2010 08:44:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/147,/competitions/chess,5th
/antgoldbloom,Why is the benchmark still leading?,"Hi all,Wondering why the benchmark is still leading when it is publically available ( [Link]:http://robjhyndman.com/papers/forecompijf.pdf). Have people had trouble replicating the authors' methodology? Or is everybody trying their own approaches?-- Anthony",0,None,6 ,Mon Oct 18 2010 05:43:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/149,/competitions/tourism2,None
/nate1297,JSkills,"You have a link to Jeff Moser's TrueSkill implementation in C#. Is anyone interested in my Java fork of this project, JSkills? [Link]:http://github.com/nsp/JSkills I'd like to use it to enter the competition myself, but I'm not sure if I'll get around to it, so I'll just throw it out there.",0,None,1 Comment,Tue Oct 19 2010 04:45:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/150,/competitions/chess,None
/tc1833272,Confirmation of submission requirements,"Hi all...When making a submission, the following instructions are listed:""Your entry must: > be in csv format;> have your predictions in columns 1 to 793;> provide 24 forecasts for the monthly series and eight forecasts for the quarterly series; and > be 16 lines long (empty lines will be ignored)."" Just want to confirm that the ""16 lines long"" instruction is an error. The ""example_submission"" file has 25 lines including the data labels: m1, m2, etc",0,None,1 Comment,Wed Oct 20 2010 01:59:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/151,/competitions/tourism2,9th
/leebaker,"Athanasopoulos, et al paper corrections - what changed?","I just loaded another copy of the the Athanasopoulos, et al, and immediately noticed the change in the font. The front page lists the paper as being ""Corrected 20 September 2010"". Can one of the authors comment on what was corrected?",0,None,1 Comment,Wed Oct 20 2010 23:17:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/153,/competitions/tourism2,2nd
/frankvp,Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Re:Quick TIBCO Chess Data Visualization...,This is just a quick visualisation pulled together using TIBCO Spotfire to find novel insights.Checkout [Link]:http://alturl.com/p8poi. Enjoy.Frank [TIBCO],0,None,1 Comment,Thu Oct 21 2010 04:35:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/154,/competitions/chess,None
/frankvp,Re:Re:Re:Quick Spotfire Visualization of Chess Data,[Link]:http://ondemand.spotfire.com/public/ViewAnalysis.aspx?file=/Users/TIBCO-SILVER-76220/Public/Kaggle.dxp&waid=ce0a9b3e554a6d389c336-b83e,0,None,1 Comment,Thu Oct 21 2010 05:06:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/155,None,None
/tobiasschultze,matches as graph with statistics and visualization,"Hey, based on the training dataset I created a of a directed, weighted, cyclic, dynamic multigraph (multiple edges between two nodes). Nodes represent players, edges are matches between them directed from the winner to the loser.Result can be found here: [Link]:http://www.tobion.de/chessgraph/",0,None,1 Comment,Thu Oct 21 2010 06:08:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/156,/competitions/chess,None
/georgeathanasopoulos,R code for Athanasopoulos et al (2010) benchmarks,"Here is the R code the replicates the forecasting results for the benchmark methods.For quarterly series y: require(forecast) fit <- ets(y,model=""AAA"", damped=TRUE, lower=c(rep(0.01,3),0.8), upper=c(rep(0.99,3),0.98)) # These bounds have been set because they were the default setting in older versions of the forecast package. fit <- forecast(fit,8) forecasts <- fit$mean For monthly series y: require(forecast) fit <- auto.arima(y,D=1) fit <- forecast(fit,24) forecasts=fit$mean Cheers,George",0,None,6 ,Fri Oct 22 2010 05:10:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/157,/competitions/tourism2,11th
/tobiasschultze,ELO in Hollywood movie,Have you noticed that there's a scene in the movie The Social Network about the ELO rating?Funny coincidence.,0,None,1 Comment,Fri Oct 22 2010 06:06:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/158,/competitions/chess,None
/dirknbr,revision 2 file,"I have the same line break error I had with 1st revision file, can you fix this again pls.",0,None,1 Comment,Fri Oct 22 2010 17:46:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/160,/competitions/tourism2,32nd
/jasonbrownlee,Re:Cannot see my score when I submit,"Since the release of the new web site design I cannot see my past submission scores any more, and when I make new submissions and I cannot see the allocated score!Does anyone else have this problem (I tried on mac/linux, chrome/firefox)Is this by design or a bug? - it's very frustrating!EDIT: To clarify, I'm talking about the ""submissions page"" not the leaderboard.",0,None,5 ,Sat Oct 23 2010 00:49:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/161,/competitions/chess,17th
/antgoldbloom,Deadline extension,"Hi all,Just to let you know that we have extended the deadline for this competition by just over a week. Both Jeff and I will be travellng around mid November, so wouldn't be able to deal with the competition's conclusion.Anhony",0,None,18 ,Mon Oct 25 2010 01:38:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/163,/competitions/chess,217th
/timsalimans,missed part 1,"I missed part 1 of the competition, can I still compete?",0,None,4 ,Mon Oct 25 2010 14:03:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/164,/competitions/tourism2,None
/lt2062,Question regarding downhill simplex / Nelder-Mead method,"Hi everyone!I set up a model with currently six parameters to do my predictions. To get good parameters (fast), I implemented the downhill simplex method, also known as Nelder-Mead method. See: http://en.wikipedia.org/wiki/Nelder%E2%80%93Mead_method Things seem to be working in general. BUT: My model is set up in a way that parameters must be in a certain interval, otherwise it screws up. What would be a meaningful way to take this fact into account and prevent the algorithm to choose invalid paramaters?I thought about three possible solutions:1. Return a high error value for invalid parameters. As a result the algorithm can enter invalid regions, but should avoid these after some iterations. I can imagine that in this case the algorithm is ""scared"" of the border regions.2. Return the error value for the parameter set whose values are closest to the invalid set but are in a valid range in all dimensions. In this case the algorithm can also enter invalid regions, but should converge to an optimum anyway(?).3. Don't let the algorithm choose invalid values altogether, but overwrite its decision immediately if it falls to an invalid range.Can you give me some advice for this?Thanks in advanceLuke",0,None,6 ,Tue Oct 26 2010 21:43:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/165,/competitions/chess,60th
/antgoldbloom,Few charts,"This first chart how the leading score has changed on a day-by-day basis. The red line shows the Elo benchmark and the blue line shows the leading score. The Elo benchmark was outperformed within 24 hours, which is why it's always above the best entry. Interesting to see some recent progress after a period of stagnation (well done Philipp). My guess is that any major improvement from this point on will be the result of somebody trying something quite different.This chart shows the number of daily entries. Higher early but seems to have stabilised at around 30 per day. Happy to put up other charts if people have requests.",0,None,13 ,Thu Oct 28 2010 09:46:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/166,/competitions/chess,217th
/steffen,mandatory implementation language,"Hello fellow number crunchesThe contest information suggests, that the resulting model has to be programmed in R (well, this seems logical). Is this correct ? What about all other data preparation steps performed along the way ? Do not get me wrong: I know and like R, but I do not like to use it for complicated programs, because my object-oriented mind keeps crashing during the coding :)kind regards,steffenPS: targeted languages are Java, Python (and R).",0,None,3 ,Sun Oct 31 2010 12:13:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/167,/competitions/R,26th
/pierre,About values,"After the end of the contest, I thought the nature of values would be unveiled. When will we have these informations ?",0,None,3 ,Fri Nov 05 2010 11:09:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/168,/competitions/informs2010,94th
/eduthie,Results without leaderboard portion of dataset,"For interest, the following list gives the competition results if the 10% leaderboard portion of the dataset was not used in the calculation of the final standings:1 dejavu 0.991501 2 Swedish Chef 0.9907163 Nan Zhou 0.9901224 sali mali 0.989765 DayTrader 0.9865496 tigertail 0.9851947 DataKiller 0.984528 H. Solo 0.9844699 atom 0.98350410 testname 0.98239511 xli 0.98157412 Knock 0.98096613 datalev 0.97922214 Jiahan Li 0.97728215 Timo Alan 0.97718116 pyk 0.97673917 MTech QROR 0.97147618 Analytics360 0.97126619 Nambiar 0.97126620 3Sigma 0.97122421 Passionalytics 0.97102322 hackerdojo 0.970723 LikeSushi 0.9706524 pivot 0.97029525 Allen_Zhou 0.97021226 rwrw 0.96877827 The Straightrollers 0.9619628 InflectionPoint 0.95739829 Soumik 0.93858930 PG Vijay 0.90836731 MarketMaker 0.88863132 SuperCorn 0.8881133 kkoo 0.88144634 Aryabhatta 0.86851935 zqzir 0.86753636 leverw 0.86709837 Robert 0.84661538 3idiots 0.80940339 ams2009 0.75628740 jumper 0.75542841 piaomiao 0.70605642 Data Diggers 0.66250943 Sooners 0.64043544 IAD 0.58568645 kebert xela 0.58286246 trapezoidal 0.58234147 Tidy 0.57781548 Olteanu And Roberts 0.57142349 chandv 0.57070450 RTech 0.56633251 Seyhan 0.56631752 PRPILS 0.56620353 PedroM 0.56393454 Joe.l.lin 0.56301155 Narad 0.56150556 Dirk Nachbar 0.55973957 Gilles 0.5565658 free 0.55572759 mjahrer 0.55455260 La Pata de Condorito 2010 0.55424661 Montgomery 0.55415862 user1 0.55316863 Troae 0.5524864 Blue Devils 0.54830665 Nonsense 0.54748266 dermcnor 0.54717367 apmid 0.54703168 Evacuation Path 0.54171469 NoFI 0.54150170 Fabien 0.5414971 MultiAlgo 0.54097572 IEORTools 0.53970373 mikejs 0.5383774 closer 0.53767175 W Team 0.53763176 SimplestModel 0.53707177 Moprhism 0.53692978 Elgin 0.5353579 PAYALE 0.53493680 cubsnsox 0.5347881 Julioxa69 0.53445882 Team Cash 0.53249983 JF_TEAM 0.53233384 Groovy 0.53218385 Parkville 0.53202186 crossroad 0.53192187 Joe 0.53179188 standard_methods 0.53136789 Terran 0.53128590 linkers 0.52976491 fguillem 0.52911492 UC Berkeley 0.52907893 musimians 0.52873994 FJ_TEAM 0.52856695 null 0.52740796 prashant215 0.52719597 JMOJPD 0.52641198 bubac 0.52639399 GnohZnutlll 0.525021100 Team 0.524529101 maomiw 0.524057102 Luis Manuel Pulido Moreno 0.52387103 TeamBad 0.523152104 JavierV 0.52294105 Braddon 0.520279106 Nikesh 0.520184107 Stat 0.519864108 moe1 0.519759109 JohnChachy 0.519596110 Naif_professor 0.519498111 Yan Papadakis 0.518525112 lynn 0.51843113 JAGC 0.517788114 ANDRUVILLA 0.517393115 NYAlfred 0.516196116 jtdggt 0.515579117 investor 0.514117118 LYA 0.514088119 DME 0.513282120 SURF 0.512337121 unsown 0.51045122 JustForFun 0.510341123 Team3256 0.508493124 image_doctor 0.507805125 Barrabas 0.506306126 shahrdar 0.504879127 Mission Impossible 0.504622128 Xenon 0.503607129 Les fous du volant 0.502432130 MonkeyWrenchGang 0.499168131 BrainTrader 0.49617132 Bodner Mining 0.48949133 hcj 0.489007134 example only 0.489007135 awc 0.487519136 overdrive 0.484843137 Solo 0.483767138 GoF 0.482091139 Cruncher 0.480446140 bayesTrees 0.480405141 Agnesios 0.479423142 MiningMaster 0.476043143 delta 0.474389144 trenderIy 0.473037145 R2C 0.472919146 404 0.468586147 SAM2009 0.253194",0,None,2 ,Mon Nov 08 2010 05:13:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/169,/competitions/informs2010,None
/dirknbr,Benchmark,"I anticipate that the question will come up how the benchmark was derived. I would not like to reveal that yet because I would not want to steer people in one particular direction. However, if there is little progress I will publish it, it is 47 lines (including comments and blank rows) of Pyhton code and quite simple to understand (no packages required).",0,None,6 ,Mon Nov 08 2010 23:07:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/170,/competitions/socialNetwork,77th
/nobody,can you provide more info?,What type of social network is this? Facebook alike or Twitter alike?What's the basic motivation people join this network? sharing hobbies or thoughts? keeping connected with friends or family? finding dating oppotunities? playing game together? I think answers to these questions can help us to undertand why people reaching out and grouping? A better understanding of context can help improve models.Thoughts?,0,None,7 ,Tue Nov 09 2010 06:10:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/171,/competitions/socialNetwork,68th
/stephendmckay,More clarifications,"So, it's OK to produce a probability that a node exists, not just 0s and 1s?Can you explain the difference between an 'inbound node' and an 'outbound node'? They just seem to be pairs of IDs with a link between them?Thanks - Steve",0,None,2 ,Tue Nov 09 2010 09:54:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/172,/competitions/socialNetwork,None
/dudarev,AUC calculation,Could you clarify how AUC is calculated in this case? We are submitting N numbers p_i ranging from 0 to 1. The real numbers are P_i that can be only 0 or 1. Is AUC in this case just:\sum_{i=1}^{N} | P_i - p_i | / N,0,None,10 ,Tue Nov 09 2010 13:34:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/173,/competitions/socialNetwork,34th
/salimali,How to beat benchmark,"It is possible to beat the benchmark (at least on the 20%) by just 'ensembling' 4 of the methods the authors of the paper have already provided.some weights I came up with (by using a 1 year holdout set) were:Quarterly 8/15 * damped3/15 * arima1/15 * naive3/15 * etsMonthly 2/15 * damped 6/15 * arima 1/15 * naive 6/15 * etsAlso if you only predict 1 year ahead and then repeat this for the 2nd year then this helps (the paper says naive predictions for annual are hard to beat).If you do this, you should be able to get 1.41659The benchmark of 1.4385 isdamped (quarterly)arima (monthly)",1,None,8 ,Tue Nov 09 2010 22:01:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/174,/competitions/tourism2,1st
/jonnnny,Leaderboard test set,"Just curious, does the test set used for the leaderboard change with each submission?That is, does it randomly select 20% of the test set to calculate the AUC or is the subset fixed?Thanks,Jon",0,None,1 Comment,Wed Nov 10 2010 07:11:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/175,/competitions/socialNetwork,20th
/tamasnepusz,Order of predictions in submission,"I was wondering whether the order of predictions in the submission matters or not. I have just discovered that the best submission I've made so far got the IDs totally wrong, i.e. the IDs in the submission were not the original IDs from the published data but from my own internal IDs - however, otherwise the ordering was the same as in the sample submission. In this case, the AUC is significantly better than 0.5 despite the fact that I've used a fairly insophisticated algorithm, which indicates that the IDs used in the submission don't really matter as long as the predictions are in the same order as in the sample submission file.On the other hand, another submission of mine contained the correct IDs, but the order of predictions was not the same as in the sample submission, and this one reached a far lower AUC (not significantly different from 0.5). So, does the order of predictions in the submission matter?",0,None,2 ,Thu Nov 11 2010 12:07:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/177,/competitions/socialNetwork,63rd
/byang1,question about creation of competition dataset,"Hi,If a node-pair does not exist in either the training set or the test set, can we assume there's no edge connecting them in the complete dataset (from which the competition dataset was built) ? That is, for all the nodes in the competition dataset, is there any edge that's in the complete dataset but was not picked for the competition dataset ?Thanks",0,None,21 ,Fri Nov 12 2010 19:27:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/178,/competitions/socialNetwork,2nd
/jc13101,final standings based on participants' best (rather than last) entry,"Is that fair? This policy seems to really favor those who starts early and have lots of, like 100+ submissions already.Would it be better if we limit the number of final submissions, say only count for the last 10 submission?",0,None,11 ,Sat Nov 13 2010 05:14:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/179,/competitions/chess,56th
/rickcooper,Elo System Use For Rating Card Game Players,"I hope it's not inappropriate for me to ask this question.A ""friend"" uses the Elo System to rate the players of a card game called Rook. If you are not familiar with this game, you can think of Spades or Hearts as card games of similar play.Since Elo works great for games of skill, would you as experts in the field of rating systems ever suggest it be appropriate for rating players of a game that is best described as a game of skill and luck (random deal of the cards)?If your answer is 'No', can you suggest what components you would use in devising a system of rating this game and similar games?I greatly appreciate your response(s)!",0,None,4 ,Sat Nov 13 2010 23:26:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/180,/competitions/chess,None
/antgoldbloom,Congratulations!,"Thanks everyone for making this an amazing competition!Big congratulations to the winner, [Link]:http://kaggle.com/outis/. Also to the runner up [Link]:http://kaggle.com/jphoward/, who only joined the competition late in the piece and to [Link]:http://kaggle.com/pug/, who finished third.Hopefully we'll get some of the top ten to tell us about their methods on the blog. In the meantime, I encourage you all to tell us a little about what you tried on the forums. Also for interest, here's a chart that shows how the best score evolved over time. Rapid improvements initially but after a month progress stalled as participants approached the fronteir of what is possible from this dataset.",0,None,14 ,Wed Nov 17 2010 21:33:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/183,/competitions/chess,217th
/uriblass,can we see the leaderboard?,It may be interesting now to compare between the leaderboard and the final results.I know that basically difference of 0.01 between results in the leaderboard mean nothing even if you do not try to optimize for the leaderboard.It may be also interesting if people can post the result of their best submission in the leader board that you cannot see even if you saw the leaderboard.I will start0.658957 leaderboard 0.696234 final resultFor comparisonChessmetrics Benchmark 0.659533 leaderboard 0.708662 final resultYou can see that being more than 0.012 better in the final result is translated to less than 0.001 difference in the leaderboardand I believe that both chessmetrics and my best submission are not based on optimizing for the leaderboard.,0,None,15 ,Wed Nov 17 2010 23:26:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/184,/competitions/chess,6th
/jasonbrownlee,Released: my Source Code and Analysis,"I had a lot of fun with this competition and learned a lot about ratings systems. Sadly, I only came 18th :) If you're interested, you can download all of my code and analysis from my github repo: https://github.com/jbrownlee/ChessML There are implementations of a few rating systems (elo, glicko, chessmetrics, etc) and many attempts at improving them (a nice little experimentation framework). Thanks all. Looking forward to the next big comp! jasonb",0,None,3 ,Thu Nov 18 2010 01:06:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/185,/competitions/chess,17th
/jhoward,2nd place: TrueSkill Through Time,"Wow, this is a surprise! I looked at this competition for the first time 15 days ago, and set myself the target to break into the top 100. So coming 2nd is a much better result than I had hoped for!... I'm slightly embarrassed too, because all I really did was to combine the clever techniques that others had already developed - I didn't really invent anything new, I'm afraid. Anyhoo, for those who are interested I'll describe here a bit about how I went about things. I suspect in many ways the process is more interesting than the result, since the lessons I learnt will perhaps be useful to others in future competitions.I realised that, by starting when there was only 2 weeks to go, I was already a long way behind. So my best bet was to leverage existing work as much as possible - use stuff which has already been shown to work! Also, I would have to stick to stuff I'm already familiar with, as much as possible. Therefore, I decided initially to look at Microsoft's TrueSkill algorithm: there is already a C# implementation available (a language which I'm very familiar with), and it's been well tested (both in practice, on XBox live, and theoretically, in various papers).So, step one: import the data. The excellent [Link]:http://www.filehelpers.com/ library meant that this was done in 5 minutes.Step two: try to understand the algorithm. Jeff Moser has a [Link]:http://www.moserware.com/2010/03/computing-your-skill.html about how TrueSkill works, along with full source code, which he most generously provides. I spent a few hours reading and re- reading this, and can't say I ever got to a point where I fully understood it, but at least I got enough of the gist to make a start. I also watched the very interesting [Link]:http://tv.theiet.org/technology/infopro/turing-2010.cfm by Chris Bishop (who's book on pattern recognition was amongst the most influential books I've read over the years), which discusses the modern Bayesian Graphical Model approach more generally, and briefly touches on the TrueSkill application.Step three: make sure I have a way to track my progress, other than through leaderboard results (since we only get 2 submissions per day). Luckily, the competition provides a validation set, so I tried to use that where possible. I only ever did my modelling (other than final submissions) using the first 95 months of data - there's no point drawing conclusions based on months that overlap with the validation set!I also figured I should try to submit twice everyday, just to see how things looked on the leaderboard. My day one submission was just to throw the data at Moser's class using the default settings. I noticed that if I reran the algorithm a few times, feeding in the previous scores as the starting points, I got better results. So I ran it twice, and submitted that. Result: 0.696 (1st place was about 0.640 - a long way away!) (For the predictions based on the scores, assuming the scores for [white, black] are [s1, s2], I simply used (s1+100)/(s1+s2). The 100 on the top is give white a little advantage, and was selected to get the 54% score that white gets on average).For the next few days, I went backwards. Rather than looking at graphs of score difference vs win%, I assumed that I should switch to a logistic function, which I did, and I optimised the parameters to the using a simple hill-climb algorithm. This sent my score back to 0.724. I also tried optimising the individual player scores directly. This sent my score back to 0.701. This wasted effort reminded me that I should look at pictures before I jump into algorithms. A graph of win% against white score (with separate lines for each quartile of black score), clearly showed the a logistic function was inappropriate, and also showed that there were interactions that I needed to think about.So, after 5 days, I still hadn't made much improvement (minor tweaks to Trueskill params had got me to 0.691, barely any improvement from day 1). So I figured I needed a whole different approach. And now I only had 10 days to go...It concerned me that Trueskill took each individual match and updated the scores after every one - it never fed the later results back to re-score the earlier matches. It turns out that (of course!) I wasn't the first person to think about this problem, and that it had been thoroughly tackled in the "" [Link]:http://blogs.technet.com/b/apg/archive/2008/04/05/trueskill-through-time.aspx"" paper from MS Research's Applied Games Group. This uses Bayesian inference to calculate a theoretically-optimal set of scores (both mean and standard deviation, by player).Unfortunately the code was written for an old version of F#, so it no longer works with the current version. And it's been a while since I've used F# (actually, all I've done with it is some Project Euler problems, back when Don Syme was first developing it; I've never actually done any Real Work with it). It took a few hours of hacking to get it to compile. I also had to make some changes to make it more convenient to use it as a class from C# (since it was originally designed to be consumed from an F# console app). I also changed my formula for calculating predictions from scores, to use a cumulative gaussian - since that is what is suggested in the TrueSkill Through Time paper. My score now jumped to 0.669.The paper used annual results, but it seemed to me that this was throwing away valuable information. I switched to monthly results, which meant I had to find a new set of parameters appropriate for this very different situation. Through simple trial and error I found which params were the most sensitive, and then used hill-climbing to find the optimum values. This took my score to 0.663.Then I added something suggested in the Chessmetrics writeup on the forum - I calculated the average score of the players that each person played against. I then calculated a weighted average of each player's actual score, and the average of their opponents. I used a hill-climb algorithm to find the weighting, and also weighted it by the standard deviation of their weighting (as output by Trueskill/Time). This got me to 0.660 - 20th position, although later someone else jumped above me to push me to 21st.The next 5 days I went backwards again! I tried an ensemble approach (weighted average of TrueSkill, TrueSkill/Time, and ELO), which didn't help - I think because TrueSkill/Time was so much better, and also because the approaches aren't different enough (ensemble approaches are best when combining approaches which are very different). I tried optimising some parameters in both the rating algorithm, and in the gaussian which turns that into probabilities for each result. I also tried directly estimating and using draw probabilities separate from win probabilities.I realised that one problem was that my results on the validation set weren't necessarily showing me what would happen on the final leaderboard. I tried doing some resampling of the validation set, and realised that different samples gave very different results. So, the validation set did generally effectively show the impact when I made a change which was based on a solid theoretical basis, but it was also easy to get meaningless increases by thoughtless parameter optimisation.On Nov 15 I finally made an improvement - previously in the gaussian predictor function I had made the standard deviation a linear function of the overall match level [i.e. (s1+s2)/2]. But I realised from looking at graphs that really it's that a stronger black player is better at forcing a draw - it's really driven by that, not by the combined skill. So I made the standard deviation a linear function of black's skill only. Result: 0.659.So, it was now Nov 16 - two days to go, and not yet even in the top 20! I finally decided to actually carefully measure which things were most sensitive, so that I could carefully manage my last 4 submissions. If I had been this thorough a week ago, I wouldn't have wasted so much valuable time! So, I discovered that the following had the biggest impact on the validation set:- Removing the first few months from the training data; removing the first 34 months was optimal for the validation set, so I figured removing the first 40 months would be best for the full set- Adjusting the constant in the calculation of the gaussian's standard deviation - if too high, the predictions varied too much, if too little, the predictions were all too close to 0.5- And a little trick: I don't know much (anything!) about chess, but I figured that there must be some knockout comps, so people who play more perhaps are doing so because they're not getting knocked out! So, I tried using the count of a player's matches in the test set as a predictor! It didn't make a huge difference to the results, but every little bit counts...Based on this, my next 3 submissions were:- Remove first 40 months: 0.658- Include count of matches as a prediction: 0.654- Increase the constant in the stdev formula by 5%: 0.653(My final submission was a little worse - I tried removing players who hadn't played at least 2 matches, and I also increased the weight of the count of matches: back to 0.654).For me, the main lesson from this process has been that I should more often step back and think about the fundamentals. It's easy to get lost in optimising the minor details, and focus on the solution you already have. But when I stepped away from the PC for a while, did some reading, and got back to basics with pen and paper, is when I had little breakthoughs.I also learnt a lot about how to use validation sets and the leaderboard. In particular, I realised that when you're missing a fundamental piece of the solution, then little parameter adjustments that you think are improvements, are actually only acting as factors that happen to correlate with some other more important predictor. So when I came across small improvements in the validation set, I actually didn't include them in my next submitted answer - I only included things that made a big difference. Later in the competition, when I had already included the most important things, I re-tested the little improvements I had earlier put aside.Please let me know if you have any questions. I would say that, overall, TrueSkill would be a great way to handle Chess leaderboards in the future. Not because it did well in this competition (which is better at finding historical ratings), but because, as shown in Chris Bishop's talk, it is amazingly fast at rating people's ""true skill"". Just 3 matches or so is enough for it to give excellent results.",3,None,15 ,Thu Nov 18 2010 03:44:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/186,/competitions/chess,2nd
/vsu1664,test labels,"It was a great competition! Congratulations to all the winners !Can we expect that the Organisers will release the test labels or there will be an opportunity of post challenge submissions ? We would be interested to write a paper for a journal or top DM conference, and would be interested to conduct some additional experiments..",0,None,17 ,Thu Nov 18 2010 08:43:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/187,/competitions/chess,11th
/louisduclosgosselin,Methods/techniques used by the top three competitors,"Dear All, The methods/techniques used by the top three competitors has been presented at the INFORMS Data Mining Contest Special Session at INFORMS Annual Meeting - Austin, Texas, November 7-10, 2010. I attached below theirs presentations. Thanks to: 1) Cole Harris from DejaVu Team 2) Christopher Hefele from Swedish Chef Team 3) Nan Zhou from Nan Zhou Team for sharing this useful materials with us. Congratulation again!!! ;) Thanks a lot. Let's keep in touch. I am looking forward earning your news. Best regards. Louis Duclos-Gosselin Chair of INFORMS Data Mining Contest 2010 Chair of the Data Mining Cluster of INFORMS Healthcare 2011 INFORMS Data Mining Section Council Members Applied Mathematics (Predictive Analysis, Data Mining) Consultant at Sinapse E-Mail: Louis.Gosselin@hotmail.com http://www.sinapse.ca/En/Home.aspx http://dm.section.informs.org/ Phone: 1-866-565-3330 Fax: 1-418-780-3311 Sinapse (Quebec), 1170, Boul. Lebourgneuf Suite 320, Quebec (Quebec), Canada G2K 2E3",3,None,25 ,Fri Nov 19 2010 22:36:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/190,/competitions/informs2010,None
/uriblass,6th place(UriB) by Uri Blass,"I calculated rating for every player in months 101-105 and after having the rating I have a simple formula to calculate the expected result only based on the rating and the color.The tricks that I used were mainly in calculating the rating but I will start explaining the simple part.The first part was calculating the bonus for whiteI had the following formula for this part:bonus=maximum((white_rating+black_rating-3100)/40.0,50)Diff=white_rating+bonus-black_rating Expected_result=0.5+Diff/850 When I changed it to be not more than 0.970588 and not less than 0.1(practically it had a very small effect because the result was always bigger than 0.1 and there was only one case when I needed to reduce it to 0.970588) Now we go to the hard part that is how to calculate the rating for every player.For this purpose I admit that I used the future to predict the past(but I have also prediction based on a different model in the top 10 when I did not use the future to predict the past).I used a function that I called repeat_strength_estimateThe function get the following parameters:1)k that is the last month that is not missing.For the prediction of months 101-105 k=100 but for testing my parameters I used k=90,91,92,...992)max_months(practically get the value 81 and I admit that it is not a good name)The meaning of max_months=81 is practically that I do not use the first 20 months to predict month 101 and that I do not use the first 21 months to predict month 102 and generally I do not use the first m-81 months to predict month number m.3)big_dif=310big_dif was used to calculate performance rating and for some reason I found that small values give better resultsin my tests so I used this small valueMy formula for performance rating was performance_rating=avg_rating+((result-opponents)/opponents)*big_dif;the value of the division can be at most 1 and at least -1 because result is practically weighted half points and is something between 0 and twice the weight of the opponent.opponents in this formula mean the number of weight opponents(when the weight is based on the distance in month from the month to predict) This formula means that even if a player lost all the games against the opponents then he still got performance rating that is only 310 elo weaker than the average of the opponents because the result of the division is always between -1 for losing all games and 1 for winning all games.I guess that it was good because not all games are included so person who played against strong opponents probably performed practically better than his real score and it is not good for the real world when games are not missing.4)num_avg=5.9 similiar to chess metrics(I added 5.9 faked opponents with average rating)5)num_weak=2.2(added 2.2 faked weak opponents)6)value_weak=2210(rating of the weak opponents like chess metrics7)unrated=2285(I think that practically had no effect because players always have games in the last 80 months) 8)minimal_game_finished=15(I reduce rating to players with less than 15 weighted games similiar to chess metrics)9)reduction_per_game=12(the number that I reduce for less of experience for player without many weight games)10)adding=39(the number that I add to rating of players after every iteration)repeat_strength_estimate basically did 10 iterations for evaluating the strength of every player in every month.The evaluation of the strengh was based on 2 steps when step 1 was the function that calculate strength that is similiar to chess metrics but there are important differences and step 2 was deciding that place 50 has rating 2625 in the rating list that is exactly the same as chess metrics. calc_strength_chess_metric is the missing function to understand the algorithm and it basically got 11 parameters(all the 10 parameters that repeat_strength_estimate got and another parameter that is the month that we calculate estimate for it).Note that the estimate for month 50 of player 1 when months 101-105 are missing is important because if player 2 played with player 1 at month 50 then it is going to influence the rating of player 2 at month 101-105 that is used to calculate the expected result.I use the word estimate and not rating because rating by definition assume that we do not have future results.I had basically 2 steps incalc_strength_chess_metricThe first step was a loop that calculated the estimate for strength for every player in the relevant month.The second step is a step that I used only when I needed to predict the strength in the missing months and it is practically unfair trick but not something that is forbidden in the competition because I used the information about games and not about the results in the supposed missing months to calculate changes in the rating estimate in these months.I did not finish to explain my algorithm and I plan also to send code later but now I need only to explain the 2 steps of calc_strength_chess_metric to explain my algorithm and I will do it later in another post(this part of the program is only slightly more than 100 lines of code in C).",0,None,5 ,Sat Nov 20 2010 05:38:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/192,/competitions/chess,6th
/martinreichert,3rd place: Chessmetrics - Variant,"Dear all,it was a great competition, thanks a lot. Here some notes regarding my approach. methodology: - all coding was done using perl - I tested some established basics like elo and chessmetrics using the training data - I found chessmetrics a very promising approach - regarding the parameters performance, opposition quality, activity, weighting, self consistant rating over a time period - I varied the rating formula depending on the parameters abovemy best submission materialized in using: - the complete training data from week 1 to 100, and not a subset of these data - using the iterative rating formula: rating = (weighed_performance + weighed_opponent_rating + weighed_tie_to_defined_rating_level + extra_points) / (sum(game_weight) + weight_opponent_rating + weight_tie_to defined_rating_level) weight_tie_to defined_rating_level = 2.5game_weight = (1 / (1 + ( 100 - month ) / 48 ) )**2 white_advantage = 27.5 extention = 850 weighed_performance = sum ( (opponent_rating +- white_advantage + extention * (result-0.5) ) * game_weight ) weight_opponent_rating = 12.5 weighed_opponent_ra ting = weight_opponent_rating * sum( (opponent_rating +- white_adavantage) * (game_weight) ) / sum(game_weight) defined_rating_level = 2300 weighed_tie_to_defi ned_rating_level = weight_tie_to defined_rating_level * defined_rating_level extra_points=24.5 - using the prediction formula: probability(win_player_white) = ((rating_player_white + white_advantage) - (rating_player_black - white_advantage)) / extention + 0.5 ; limited to {0..1} [Link]:http://www.ratatoek.de/elo_comp_23_test_pl.txtMeanwhile I also updated my profile on Kaggle ...CheersMartin",0,None,2 ,Sat Nov 20 2010 12:27:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/193,/competitions/chess,3rd
/nickmirsky,"Using additional datasets -- eg., rain, fog, etc.","Hello,I was wondering if we were able to incorporate other datasets. For example, rain and fog would surely affect travel times.Thanks,Nick Mirsky",0,None,20 ,Wed Nov 24 2010 02:02:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/195,/competitions/RTA,None
/antgoldbloom,Sample PHP Code,Attached is some sample code that can be used to constuct an entry that generates a forecast based on the average travel time on a given route on a given day of the week at a given time.,0,None,3 ,Wed Nov 24 2010 03:39:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/196,/competitions/RTA,255th
/antgoldbloom,Sample Python Code,Attached is some sample Python code that generates forecasts based on the last known travel time. (I'm new to Python so happy to hear any feedback on the code.),0,None,16 ,Wed Nov 24 2010 03:44:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/197,/competitions/RTA,255th
/peterwatts,Accurate location data,Is there information on the length of each route and the location of exit/entry points in relation to the routes? Surely this information is significant.,0,None,14 ,Wed Nov 24 2010 11:05:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/198,/competitions/RTA,None
/dirknbr,Toll,It seems a toll was abolished in Feb 2010.http://news.smh.com.au/breaking-news-national/sydneys-m4-toll-to-be-abolished-20100215-nzox.html,0,None,1 Comment,Wed Nov 24 2010 15:05:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/199,/competitions/RTA,261st
/dennisjaheruddin,Leaderboard,"I have two questions about the leaderboard:1) It is stated that the leaderboard is calculated using 30% of the test set, but is this 30% also included in the calculation of the final standings?2) Which part of the test set is represented in the leaderboard? (Both 30% of 61 and 30% of 29 may be undesirable)",0,None,5 ,Wed Nov 24 2010 18:31:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/200,/competitions/RTA,85th
/uriblass,My early results in this competition,"I can say that I had already better result than chess metrics(but not better than my best result) by a forward approach but laterthe fact that chessmetrics did so well in the leaderboard was one of the reasons that caused me to try only modified chess metrics(I also liked the nice way that chessmetric used my own ideas when I also have similiar ideas but not in so nice way).I believe that chessmetrics was wrong in one thing and it is not considering games against non fully rated players(unfortunately my tries to use games against non fully rated players with smaller weight gave me worse results in the leaderboard) and only at the end I decided to use some different model that is also based on the ideas of chess metrics without the concept of fully rated players.I believe that the best is not to have the concept of fully rated players and give games different weights(even if they are from the same months) but I had no time to build a good model for it and decided at the end simply to give all games at the same month the same weight. Note that I got place 7 based on a modified chess metrics approach without using the future to predict the past so it seems that using the future to predict the past did not give me much. History of my best results (the number is number of prediction) 1)0.7148342)0.7088513)0.7083464)0.7040495)0.7035346)0.7033047)0.7027339)0.702352 my best forward approach and surprisingly a very good result enough for place 19 in the competition.20)0.701063 22)0.698297 place 824)0.697596 place 729)0.697353 place 7119)0.696234 place 6 In submission 119 I use some trick of using the future to predict the past but probably the help of it was relatively small.In the first submission I did not use the future to predict the past. I think that the leaderboard was counterproductive and people could probably do better without it. I suspected that it may be counterproductive but having worse results in the leaderboard destroyed my motivation to continue from the point that I was even when I made a progress(in cases that I got worse result in the leaderboard) and at some point I decided that I probably need a different model but I also have no time to program it so I simply tried to do small changes in parameters to optimize for the leaderboard. Only at the end of the competition I decided todo some last effort Maybe it is a good idea that in the future the leaderboard can include only 2 digits after the 0 so it is more clear to people that it is only indicative so people cannot get conclusions about their real place based on the leaderboard[in this competition even 2 digits were too much and it could be better to have only numbers like 0.65,0.7,0.75, when chessmetrics and many people(everyone with better score than 0.675) could get only a score of 0.65].",0,None,1 Comment,Wed Nov 24 2010 20:32:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/201,/competitions/chess,6th
/waiyiptung,Confuse by the data definition,"It says ""The cells show the travel time in centiseconds"".Travel time from where to where?For example, under the column of route 40020, this first cell has the value of 804. 804 x 0.01s = 8.04s. Does it mean a vehicle takes 8.04s to complete the entire segment of route 40010?Also another reader has asked, what is the length of each route segment? The Google map under RTA does not should route number not exit number.",0,None,2 ,Wed Nov 24 2010 22:59:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/202,/competitions/RTA,None
/carlosaydos,Eligibility,"I work for the RTA. Can I compete?A friend of mine works for a company that does business with the RTA, can he compete?",0,None,1 Comment,Thu Nov 25 2010 09:47:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/203,/competitions/RTA,None
/frankvp,Quick look before your download the RTA data...,"A quick visualisation pulled together using TIBCO Spotfire. View below, or [Link]:http://alturl.com/7eznt. Enjoy. Frank [TIBCO]",0,None,7 ,Thu Nov 25 2010 14:01:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/204,/competitions/RTA,None
/jhoward,Sample C# code,"Here's a C# translation of Lee's Python code for creating a naive ""model"": const string fmt = ""yyyy-MM-dd HH:mm"";// The cut-off pointsvar cutoffTimes = new[] {""2010-08-03 10:28"",""2010-08-06 18:55"",""2010-08-09 16:19"",""2010-08-12 17:22"",""2010-08-16 12:13"", ""2010-08-19 17:43"",""2010-08-22 10:19"",""2010-08-26 16:16"",""2010-08-29 15:04"",""2010-09-01 09:07"",""2010-09-04 09:07"", ""2010-09-07 08:37"",""2010-09-10 15:46"",""2010-09-13 18:43"",""2010-09-16 07:40"",""2010-09-20 08:46"",""2010-09-24 07:25"", ""2010-09-28 08:01"",""2010-10-01 13:04"",""2010-10-05 09:22"",""2010-10-08 16:43"",""2010-10-12 18:10"",""2010-10-15 14:19"", ""2010-10-19 17:16"",""2010-10-23 10:28"",""2010-10-26 19:34"",""2010-10-29 11:34"",""2010-11-03 17:49"",""2010-11-07 08:01""};//forecast horizon in multiples of 15 minutesvar forecastHorizon = new [] {1,2,3,4,6,8,24,48,72,96};var lines = File.ReadAllLines(""RTAData.csv"");var res = new List<string> {lines[0]};foreach (var data in lines.Skip(1).Select(o => o.Split(','))) { if (!cutoffTimes.Contains(data[0])) continue; var currentDate = DateTime.Parse(data[0]); res.AddRange(forecastHorizon.Select(i => currentDate.AddMinutes(i*15).ToString(fmt) + "","" + String.Join("","", data.Skip(1))));}File.WriteAllLines(""sub.csv"", res);",0,None,3 ,Fri Nov 26 2010 09:28:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/205,/competitions/RTA,106th
/danielhartmeier,Floating point predictions,"Why does the sample prediction contain floating point numbers instead of integers, like the input data?Is the hidden correct answer in floats or in integers?How is the comparison done for calculating the RMSE, in floating point arithmetic, or integer (truncating any prediction's floats)?Thanks,Daniel",0,None,4 ,Fri Nov 26 2010 18:03:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/206,/competitions/RTA,200th
/dchudz,times constant for a whole day,"It looks to me like we have the same travel times (for each route) across an entire day, from 4/4/2010 2:10 to 4/5/2010 2:01:00.Is this a data quality issue?I haven't looked for more instances like this.Thanks,David",0,None,4 ,Sat Nov 27 2010 05:12:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/207,/competitions/RTA,None
/paresh,RMSE vs percent error,"Hi,I was wondering why RMSE was chosen for this contest over mean percent error. Here, mean percent error = mean ( abs(actual - predicted) / predicted )Let us consider this example: there are two cases - one with travel time 100 and the other with travel time 1000. Let us say an algorithm predicts 300 for the first case and 1200 for the second.Now, RMSE will penalize the algorithm both of these cases equally. However, in the first case, the algorithm made a 200% error in prediction whereas it made only a 20% error in the second case.In a practical setting, this would correspond to a GPS making an error of 20 min on a 10 min drive vs a 20 min error on a 2 hr drive (approx). Shouldn't the first case be penalized more?By using RMSE as the metric, algorithms that work better on longer stretches of road / when travel times are larger are favored. On the other hand, percent error looks for algorithms that are equally good in all cases.Hence, wouldn't it be more fair to penalize based on percent error metric?I realize that I'm no authority in this matter. I was just wondering why RMSE was chosen. On a side note, I tried to create a new thread, but got no confirmation. Sorry if this ends up double posting.",1,None,2 ,Sat Nov 27 2010 10:13:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/208,/competitions/RTA,48th
/salimali,Animation in Excel,"Here is some excel macro code that animates the traffic flow through time.Just paste the code into the code section of a sheet, change the first line to reference the data file, add a reference to microsoft scripting runtime and then run the macro 'animate'Green means good - red means slow.There are 2 lanes of traffic next to each other, but I'm not sure if they are driving in the right direction or not!The process of pasting the code in this forum causes a few rouge semicolons to appear from somewhere at the beginning of some lines. When you past the code in excel these lines will be red so you will just have to delete the semi colons to tidy up the code. Option Explicit'need reference to microsoft scripting runtimeConst sourcefile As String = ""C:\whereever\RTA\RTAData.csv""Const maxRows As Long = 3500Sub animation() Call setFormat Dim maxtime() As Long maxtime() = getMaxTime Call animate(maxtime) MsgBox ""finished"" End SubSub animate(maxtime() As Long) Dim fso As New FileSystemObject Dim ts As TextStream Dim s As String Dim v() As String Dim timestamp As String Dim i As Integer Dim mycolour As Integer Dim mycolourR As Integer Dim mycolourG As Integer Dim perc As Double Dim myrow As Integer Dim mycol As Integer Dim rowCount As Long Set ts = fso.OpenTextFile(sourcefile, ForReading) 'header line s = ts.ReadLine rowCount = 0 While Not ts.AtEndOfStream And rowCount <= maxRows rowCount = rowCount + 1 s = ts.ReadLine v() = Split(s, "","") timestamp = v(0) Cells(1, 1) = timestamp Cells(2, 1) = timestamp For i = 1 To UBound(v) If i <= 30 Then myrow = 4 mycol = i + 1 Else myrow = 6 mycol = i + 1 - 30 End If If IsNumeric(v(i)) Then perc = (CInt(v(i)) - maxtime(1, i)) / (maxtime(2, i) - maxtime(1, i)) 'range 0-1 mycolourG = 255 * (1 - perc) 'range 0 to 255, 255=quickest, 0=slowest mycolourR = 255 * perc Cells(myrow, mycol).Interior.Color = RGB(mycolourR, mycolourG, 0) Cells(myrow + 1, mycol) = CInt(perc * 100) Else Cells(myrow, mycol).Interior.Color = RGB(0, 0, 0) Cells(myrow + 1, mycol) = ""?"" End If Next i Wend ts.CloseEnd SubFunction getMaxTime() As Long() 'this actually gets the max and min time for each section Dim fso As New FileSystemObject Dim ts As TextStream Dim s As String Dim v() As String Dim timestamp As String Dim maxtime() As Long Dim i As Integer Dim rowCount As Integer Set ts = fso.OpenTextFile(sourcefile, ForReading) 'header line s = ts.ReadLine v() = Split(s, "","") ReDim maxtime(1 To 2, 1 To UBound(v)) rowCount = 0 While Not ts.AtEndOfStream And rowCount <= maxRows rowCount = rowCount + 1 s = ts.ReadLine v() = Split(s, "","") timestamp = v(0) For i = 1 To UBound(v) If IsNumeric(v(i)) Then If v(i) > maxtime(2, i) Then maxtime(2, i) = v(i) If rowCount = 1 Then maxtime(1, i) = maxtime(2, i) If v(i) < maxtime(1, i) Then maxtime(1, i) = v(i) End If Next i Wend ts.Close getMaxTime = maxtime End FunctionSub setFormat() 'format the date display Range(""A1"").Select Selection.NumberFormat = ""[$-F800]dddd, mmmm dd, yyyy"" Range(""A2"").Select Selection.NumberFormat = ""h:mm:ss;@"" Columns(""A:A"").Select Selection.ColumnWidth = 50 ActiveWindow.Zoom = 50 Cells.Select ActiveWindow.DisplayGridlines = False putBorderRoundRoad Range(""C1"").SelectEnd SubSub putBorderRoundRoad() 'just a recorded macro Range(""B4:AF4"").Select Selection.Borders(xlDiagonalDown).LineStyle = xlNone Selection.Borders(xlDiagonalUp).LineStyle = xlNone With Selection.Borders(xlEdgeLeft) .LineStyle = xlContinuous .Weight = xlMedium .ColorIndex = xlAutomatic End With With Selection.Borders(xlEdgeTop) .LineStyle = xlContinuous .Weight = xlMedium .ColorIndex = xlAutomatic End With With Selection.Borders(xlEdgeBottom) .LineStyle = xlContinuous .Weight = xlMedium .ColorIndex = xlAutomatic End With With Selection.Borders(xlEdgeRight) .LineStyle = xlContinuous .Weight = xlMedium .ColorIndex = xlAutomatic End With Selection.Borders(xlInsideVertical).LineStyle = xlNone Range(""B6:AF6"").Select Range(""AF6"").Activate Selection.Borders(xlDiagonalDown).LineStyle = xlNone Selection.Borders(xlDiagonalUp).LineStyle = xlNone With Selection.Borders(xlEdgeLeft) .LineStyle = xlContinuous .Weight = xlMedium .ColorIndex = xlAutomatic End With With Selection.Borders(xlEdgeTop) .LineStyle = xlContinuous .Weight = xlMedium .ColorIndex = xlAutomatic End With With Selection.Borders(xlEdgeBottom) .LineStyle = xlContinuous .Weight = xlMedium .ColorIndex = xlAutomatic End With With Selection.Borders(xlEdgeRight) .LineStyle = xlContinuous .Weight = xlMedium .ColorIndex = xlAutomatic End With Selection.Borders(xlInsideVertical).LineStyle = xlNone End Sub",0,None,1 Comment,Sat Nov 27 2010 12:24:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/209,/competitions/RTA,None
/aidan2360,Strange patterns in data,"Just did a quick plot of some of the data. Im noticing on many of the routes that there appears to be a lower bound on the time taken for a large part of the sample, however this is broken through sometimes with fairly constant data. I've attached a screenshot which illustrates it for route 40125, where the lower bound is just above 140. I'm assuming this is some sort of default value when an error occurs?",0,None,11 ,Sun Nov 28 2010 20:17:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/211,/competitions/RTA,None
/p4p44203,RMSE calculation,"how is the RMSE for my submission actually calculated ?errorsum from the whole table ?, from rows(per cutoff time), cols(routes) ?please enlighten me !",0,None,11 ,Tue Nov 30 2010 14:27:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/212,/competitions/RTA,169th
/danielhartmeier,Selection of the 29 cut-off times?,"How were the 29 cut-off times selected? Randomly?Or manually, possibly selecting times where data was particularly non-average?I tried some obvious simple algorithms producing averages, picking my own random cut-off times (where data is visible), then calculating the RMSE, and got RMSE values around 120-130.Yet when I submit any of these, the resulting official RMSE is well above 300...",0,None,4 ,Tue Nov 30 2010 15:48:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/213,/competitions/RTA,200th
/randomguess0,Why cannot submit my result?,"After I specify the adress of my result file and click the submit button, it will return to this same page again.My result looks like:776731,264324,0.1011666155,95308,0.0012535123,755942,0.0004786734,712538,0.00361064729,3905,0.0005486287,372384,0.014827458,865512,0.0079907001,1052167,0.0012......is there anything wrong?",0,None,2 ,Wed Dec 01 2010 06:54:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/214,/competitions/socialNetwork,75th
/marcio0,Routes Length,Does someone know if each route has a different length? I can't find anything about this at the informations.,0,None,2 ,Wed Dec 01 2010 20:46:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/215,/competitions/RTA,131st
/viveksharma0,Time order?,"Is there a time order between the training and test data?In other words, were the links in the test data formed after the links in the training data?",0,None,1 Comment,Wed Dec 01 2010 22:46:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/216,/competitions/socialNetwork,None
/koonkiuyan0,Is the network directed or undirected?,"I assumed it's directed because out of the 7 million edges, a few percent of them are bi-directional. Is it the case?",0,None,1 Comment,Fri Dec 03 2010 03:41:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/219,/competitions/socialNetwork,52nd
/hassant,More Details,"Hi dear friendsI don't have any experience in this area and the competitions like this.since i wanna a bit more help from my friends and know more details about this competition.first of all what is our data? we have 3 csv file to download, RTAdata, RTAHistorical and sampleEntry. I think we should use RTAdata as input, and upload a csv file like sampleEntry.csv as result. so as i read the last topics i thought we should make a model and someone write any kind of codes, so i will be confuse( code or csv file).Then what kind of tools we can use?Accept my real thanks before submit your helps!Hassan",0,None,5 ,Fri Dec 03 2010 12:29:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/220,/competitions/RTA,87th
/edwardgrech,The map,"I have two queries regarding the map (m4-map.pdf). I understand that it is a sketch, however:1. Since Australians drive on the left, shouldn’t the pink Westbound routes be at the bottom and the blue Eastbound routes at the top?2. The pink arrow marking route № 40095 spans over “two routes”; is this an error? And if it is intentional, what does it mean?Thank you!",0,None,4 ,Fri Dec 03 2010 16:04:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/221,/competitions/RTA,None
/vsu1664,new evaluation score,"The communication within the ""can we see leaderboard"" topic has inspired me to introduce the following evaluation criterion:new_score = test_score * (1.0 + test_score - leaderboard_score)where the second multiplier controls the overfitting (and, we are interested to reduce it).These are the corresponding results (based on the data provided by Anthony Goldbloom):rank new_score test_score leaderboard_score1 0.712900 0.694770 0.6686752 0.713787 0.694883 0.6676793 0.716188 0.701088 0.6795504 0.716308 0.701019 0.6792105 0.716457 0.701986 0.6813716 0.716820 0.701330 0.6792447 0.717328 0.702781 0.6820828 0.719240 0.695195 0.6606089 0.720143 0.698278 0.66696510 0.720282 0.695559 0.66001511 0.720973 0.696868 0.66227812 0.721191 0.698005 0.66478713 0.721247 0.704239 0.68008814 0.721438 0.699849 0.66900115 0.721514 0.704020 0.67917116 0.721609 0.697436 0.66277617 0.721667 0.696033 0.65920518 0.721797 0.704714 0.68047319 0.721821 0.695987 0.65886920 0.721959 0.696322 0.659504Remark. The idea of the ""new_score"" is not really a new one and was used before.",0,None,1 Comment,Sun Dec 05 2010 01:45:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/222,/competitions/chess,11th
/britvich,New Method for Revealing Data and Evaluating Models,"I’ve been thinking a lot about the Chess Ratings Competition and Kaggle Competitions in general, and how they could be improved. The PDF below outlines the idea. It solves many of the problems with the current ways we test and evaluate our models. I’m curious what you think.Ron",0,None,7 ,Sun Dec 05 2010 05:25:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/223,/competitions/chess,29th
/konstantinsavenkov,Validity of the control data,"Anthony,Could you please explicitly state that the speed data used for estimation of prediction quality is _valid_, i.e. received from properly working sensors.I ask this to make sure I need to predict traffic speed fluctuation, not the sensor malfunction laws :-)Regards, Konstantin Savenkov.",0,None,6 ,Wed Dec 08 2010 15:32:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/225,/competitions/RTA,77th
/wcukierski,Rules and Regulations,"Hey Kaggle folks,As this website grows and these competitions become more popular, I think you'll find it in your best interest to start clarifying/enforcing certain rules. For example, in your terms it states that ""No individual or entity may register more than once (for example, by using a different username)"", but this rule alone leaves certain gray areas.Are teams allowed to merge? Is one individual allowed to be on multiple teams? The end of the Netflix competition was a flurry of ""mergers and acquisitions"" as teams joined together to blend results. is this allowed here? If you want to discourage this teaming up, it may make sense to close the contest to new teams a certain number of weeks before conclusion. Otherwise, you may see dummy accounts created for the purposes of refining final predictions or joining teams.I'm not trying to call anybody a cheater or point fingers. I just know that if the site gets more popular and the prizes grow in value, this kind of gaming the system will become more prevalent. It would be helpful to have the rules to each contest explicitly shown up front so that there are no surprises at the end.Thanks for listening!",0,None,1 Comment,Thu Dec 09 2010 22:41:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/226,/competitions/socialNetwork,2nd
/martinreichert,Yannis Sismanis (outis) - 1st place - any detail description ?,"I am very interested in a more detailed description of Yannis Sismanis' (Outis) 1st place solution.The last message from him I found here in the forum is from November 18 - where he told us, he would publish his documentation in a few days ...Did he publish in any other place?Thanks a lot for any hintMartin",0,None,4 ,Fri Dec 10 2010 11:52:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/227,/competitions/chess,3rd
/dirknbr,data error,Should Country.of.Birth in column BH be Country.of.Birth.2?,0,None,9 ,Mon Dec 13 2010 11:34:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/229,/competitions/unimelb,76th
/antgoldbloom,Sample R Code,"Attached is some R code to create a GLM entry for this competition. As always, happy to hear feedback from others about how this could have been done more elegantly. Anthony",0,None,2 ,Mon Dec 13 2010 14:37:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/230,/competitions/unimelb,153rd
/ahmedjawad,Availabity of data for reseacrh,"Hi Dear RTA,I am a PhD student at fraunhofer institute, Geramny and I am participating in the competition. My thesis relates relates to prediction of traffic. I have a natural interest in publishing my method and results on this data set in some conference\journal. Am I allowed to do that because otherwise participation does not make sense to me",0,None,2 ,Mon Dec 13 2010 15:26:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/231,/competitions/RTA,None
/datalev,What is the meaning of missing data?,Hi: Anthony What is the meaning of missing data (Mar 4 2010 for example)? not recorded? no traffic? or just leave it on purpose?,0,None,4 ,Mon Dec 13 2010 21:37:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/232,/competitions/RTA,None
/p4p44203,RFCD/SEO Code definition missing,"the data page promises definitions for the RFCD and SEO codes.could you add those, please ?",0,None,6 ,Thu Dec 16 2010 19:23:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/235,/competitions/unimelb,140th
/ssalahi,What is the difference between outbound and inbound node?,I have read the description of the data. Could you please describe in more detail what the difference between outbound and inbound node is.,0,None,7 ,Sat Dec 18 2010 10:47:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/236,/competitions/socialNetwork,11th
/salimali,how many entries?,"Anthony, Is it still the case that all entries made will get a chance of winning?",0,None,1 Comment,Sat Dec 18 2010 12:30:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/237,/competitions/unimelb,192nd
/pvk680,Eligibility for Prize,"In the description page, its been mentioned that winning method must be implementable by the university of melbourne? Does it have any implications towards the use of specific softwares or techniques etc? If so, please let us know about that in more detail.",0,None,4 ,Sat Dec 18 2010 22:31:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/238,/competitions/unimelb,None
/grahamdennis,"Routes 40045, 41125, 41135, 41145 always failing?","Hi,I've just had a quick look at the data from RTAError.csv, and it appears as though some routes are marked as always having failing sensors despite there being some meaningful data (apparently) in RTAData.csv for those routes. The routes for which have the value 1 always in RTAError.csv are 40045, 41125, 41135 and 41145. There are also a few other routes whose sensors function occasionally. Does anyone know what's going on?Cheers,Graham Dennis",0,None,2 ,Sun Dec 19 2010 09:13:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/239,/competitions/RTA,218th
/rambeaux,Internal consistency of data,"Hi All, I was looking at a time series view of successful and unsuccessful grants for each PersonID within the dataset, and am not sure that the 'Successful Grant' and 'Unsuccessful Grant' fields are consistent with the outcomes of past grant applications within the dataset.For example, consider applications where PersonID 407 is the primary applicant.From November 2005 through to January 2007, this applicant has 7 applications where the Grant Status is equal to 1, however on subsequent apps for this person, the value of the 'Number of Successful Grants' field remains 1 - even in applications lodged in 2009.I understand there may be a lag between application and success of an app, but surely not 3 or more years.Could there be a problem with the dataset, or have I missed something?",0,None,8 ,Mon Dec 20 2010 22:59:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/240,/competitions/unimelb,72nd
/mdagost,Is the probability interval open or closed?,"In the rules, it says that we need to provide the ""probability of success-between 0 and 1"". Is that interval open or closed? That is, is there any problem if our predictions return identically 0 or 1?Thanks!Michelangelo",0,None,1 Comment,Wed Dec 22 2010 17:13:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/241,/competitions/unimelb,62nd
/antgoldbloom,Important information regarding external data and model inputs,"Many thanks to everyone for all your great activity on this fascinating problem - insightful questions and comments on the forum, good early results on the leaderboard and interesting discussions! There have been a lot of questions about exactly what constitutes an acceptable model for the RTA. So far, my guidance on this matter has possibly been too fuzzy, and I hear a lot of you looking for more definite rules. Therefore, we have come up with the following specific rule regarding the allowed model inputs: Your model can be of any form you like, as long as it takes its input only from the following parameters:- Time of prediction- Day of week, Is holiday?, Month of year- Route number to be predicted- The time taken for route r for date/time t (where r is any route, and t is any time less than the date/time being predicted), for as - many routes and date/times as you wish- The sensor accuracy measurements for any routes r and dates/times t (defined as above)- The estimated route distances (as provided by Kaggle)To clarify, the following are not permitted:- The use of any data other than those provided by Kaggle for this competition, and the [Link]:http://www.industrialrelations.nsw.gov.au/About_NSW_IR/Public_Holidays.html.- The time taken for any routes ""in the future"" (compared to the prediction being made) - your model can still be trained using all data, as long as the resultant model only uses the inputs listed above.Furthermore, the algorithm must not be encumbered by patent or other IP issues, and must be fully documented such that the RTA can completely replicate it without relying on any ""black box"" libraries or systems.",0,None,16 ,Thu Dec 23 2010 09:40:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/242,/competitions/RTA,255th
/predictor,Who Analyzes the Analysts?,I found it interesting to note the relationship between number of submissions and leaderboard performance: [Link]:http://farm6.static.flickr.com/5001/5287397111_4e6ed371df_b.jpg.,0,None,2 ,Fri Dec 24 2010 14:15:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/243,/competitions/unimelb,78th
/tropics,Not in leaderboard?,"Hello,My team is not appearing in the leaderboard. I suspect we are tied with other team. Is this a bug or am I overlooking something?Thanks!Jose",0,None,1 Comment,Tue Dec 28 2010 16:49:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/244,/competitions/RTA,1st
/byang1,visualization software,"Hi, can anyone recommend a free or shareware visualization software suitable for the data used in this contest ?",0,None,2 ,Wed Dec 29 2010 07:03:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/245,/competitions/socialNetwork,2nd
/dchudz,animation created in R (code included),"I wrote some R code for creating [Link]:http://eigensomething.blogspot.com/2011/01/video-from-kaggle-traffic-prediction.html out of this data.Maybe someone will find it enjoyable, or useful.",0,None,5 ,Sun Jan 02 2011 08:32:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/246,/competitions/RTA,None
/byang1,AUC Calculation Check,"Hi,I'd like to get some verificaiton of my AUC calculation routine.I put together [Link]:http://members.shaw.ca/byang/b/CheckAUC.zip containing 5 .csv files. Each .csv file contains 4480 lines, and each line contains 3 columns. The first 2 columns are all zeros, and the 3rd column is a floating point ""prediction"" value.Now let's say the true answers are 0 for the first 2240 lines, and 1 for the second 2240 lines. Here's the AUC values I calculated:a.csv: 0.5373b.csv: 0.7626c.csv: 0.8092d.csv: 0.8454e.csv: 0.9262Can someone verify these numbers ?I'd especially like to ask the contest organizers to calculate AUC on these files too, just trying to make sure my AUC routine is correct. :)Thanks.",0,None,3 ,Mon Jan 03 2011 22:54:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/247,/competitions/socialNetwork,2nd
/nilxela,"Where is Team ""One Old Dog""?","Where is Team ""One Old Dog""? Also website is throwing some kind of error while browsing.""The team: has selected too many submissions: 19""Thanks",0,None,1 Comment,Tue Jan 04 2011 20:39:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/248,/competitions/R,4th
/nottelling,in the money indicator,"Anthony:Does the in the money indicator (green star) actually mean that the user's rmse is lowest on the hidden part of the test, or not?Could it happen sometime that 2nd team on the leaderboard gets the in the money star, if their algorithm happens to be the best on the hidden set rather than the first team's?Thank you.",0,None,1 Comment,Wed Jan 05 2011 16:33:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/249,/competitions/RTA,None
/borisgorelik,CHIEF_INVESTIGATOR vs. PRINCIPAL_SUPERVISOR,CHIEF_INVESTIGATOR vs. PRINCIPAL_SUPERVISOR: are these the same roles?,0,None,1 Comment,Sun Jan 09 2011 17:02:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/250,/competitions/unimelb,None
/borisgorelik,Negative number of years,"The fields ""No..of.Years.in.Uni.at.Time.of.Grant.#"", where # is 1, 2, ..., contains value ""Less than 0"". How should it be interpreted?",0,None,1 Comment,Sun Jan 09 2011 17:05:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/251,/competitions/unimelb,None
/dirknbr,Congratulations,"... to IND CCA for winning this contest. It was a close race at the end, with some new entrants racing to the top.I hope you enjoyed this.I will release the sampling code if you want.",0,None,5 ,Tue Jan 11 2011 23:12:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/252,/competitions/socialNetwork,77th
/chefele,Sharing Techniques Used,"Congratulations to all the leaders in this contest! Unfortunately, these forums have been pretty quiet during the contest, but now that it's over, I'm wondering if people are willing to disclose the techniques they used so others can learn something new.In a few emails with a couple contestants, I know there are a mix of techniques being used out there --- KNNs, neural-nets, SVDs, node metrics (like Adar/Adamic, Jaccard, number of common neighbors), and some graph-based techniques (shortest paths, edge-betweenness centrality, etc.). So, what techniques did you use? What worked, and what didn't? Thanks!",0,None,5 ,Tue Jan 11 2011 23:52:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/254,/competitions/socialNetwork,12th
/jhoward,A thought for future competitions,"For this competition, there was a really useful compendium of approaches, along with rankings of them, in the paper ""The Link Prediction Problem for Social Networks (2004)"". I only discovered this paper on the last day of the competition, so wasn't able to use any of the insights to improve my algorithm (4th place). Yes, that does suggest I'm pretty crap at Googling... but it also makes me wonder: perhaps competition hosts in the future should consider including links to a couple of key papers, in their competition description page.This would probably improve the overall results at the end of the competition, by ensuring that everyone could at least use the current best approaches as a starting point.Of course, some people may as a result become overly narrow in their focus - by looking only at extensions of the existing methods, they may miss new ideas. But I'm sure some people would be able to both harness the both the existing research, whilst also looking at new approaches.",2,None,4 ,Wed Jan 12 2011 22:04:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/255,/competitions/socialNetwork,4th
/arvindnarayanan,How we did it (IND CCA),"Hi everyone,This is Arvind Narayanan from the IND CCA team, and I’d like to share our techniques.First things first: in case anyone is wondering about our team name, we are all computer scientists, and most of us work in cryptography or related fields. IND CCA refers to a [Link]:http://en.wikipedia.org/wiki/Ciphertext_indistinguishability#Indistinguishability_under_chosen_ciphertext_attack.2Fadaptive_chosen_ciphertext_attack_.28IND-CCA.2C_IND-CCA2.29 of an encryption algorithm. Other than that, no particular significance.I myself work in computer security and privacy, and my specialty is de-anonymization. That explains why the other team members (Elaine Shi, Ben Rubinstein, and Yong J Kil) invited me to join them with the goal of de-anonymizing the contest graph and combining that with machine learning.To clarify: our goal was to map the nodes in the training dataset to the real identities in the social network that was used to create the data. That would allow us to simply look up the pairs of nodes in the test set in the real graph to see whether or not the edge exists. There would be a small error rate because some edges may have changed after the Kaggle crawl was conducted, but we assumed this would be negligible.Knowing that the social network in question is Flickr, we crawled a few million users' contacts from the site. The crawler was written in python, using the curl library, and was run on a small cluster of 2-4 machines.While our crawl covered only a fraction of Flickr users, it was biased towards high degree nodes (we explicitly coded such a bias, but even a random walk is biased towards high degree nodes), so we were all set. By the time we crawled 1 million nodes we were hitting a 60-70% coverage of the 38k nodes in the test set. But more on that later.Our basic approach to deanonymization is described in [Link]:http://33bits.org/2009/03/19/de-anonymizing-social-networks/. Broadly, there are two steps: “seed finding” and “propagation.” In the former step we somehow deanonymize a small number of nodes; in the latter step we use these as “anchors” to propagate the deanonymization to more and more nodes. In this step the algorithm feeds on its own output.Let me first describe propagation because it is simpler. As the algorithm progresses, it maintains a (partial) mapping between the nodes in the true Flickr graph and the Kaggle graph. We iteratively try to extend the mapping as follows: pick an arbitrary as-yet-unmapped node in the Kaggle graph, find the “most similar” node in the Flickr graph, and if they are “sufficiently similar,” they get mapped to each other.Similarity between a Kaggle node and a Flickr node is defined as cosine similarity between the already-mapped neighbors of the Kaggle node and the already-mapped neighbors of the Flickr node (nodes mapped to each other are treated as identical for the purpose of cosine comparison).In the diagram, the blue nodes have already been mapped. The similarity between A and B is 2 / (√3·√3) = ⅔. Whether or not edges exist between A and A’ or B and B’ is irrelevant.There are many heuristics that go into the “sufficiently similar” criterion, which will be described in our upcoming paper. There are two reasons why the similarity between a node and its image may not be 100%: because the contest graph is slightly different from our newer crawled graph, and because the mapping itself might have inaccuracies. The latter is minimal, and in fact the algorithm occasionally revisits already-mapped nodes to correct errors in the light of more data.I have elided over many details — edge directionality makes the algorithm significantly more complex, and there are some gotchas due to the fact that the Kaggle graph is only partially available. Overall, however, this was a relatively straightforward adaptation of the algorithm in the abovementioned paper with Shmatikov.Finding seeds was much harder. Here the fact that the Kaggle graph is partial presented a serious roadblock, and rules out the techniques we used in the paper. The idea of looking at the highest-degree nodes was obvious enough, but the key observation was that if you look at the nodes by highest in-degree, then the top nodes in the two graphs roughly correspond to each other (whereas ordered by out-degree, only about 1/10 of the Flickr nodes are in the Kaggle dataset). This is because of the way the Kaggle graph is constructed: all the contacts of each of the 38K nodes are reported, and so the top in-degree nodes will show up in the dataset whether or not they’re part of the 38K.Still, it’s far from a straightforward mapping if you look at the top 20 in the two graphs. During the contest I found the mapping by hand after staring at two matrices of numbers for a couple of hours, but later I was able to automate it using simulated annealing. We will describe this in detail in the paper. Once we get 10-20 seeds, the propagation kicks off fairly easily.On to the results. We were able to deanonymize about 80% of the nodes, including the vast majority of the high-degree nodes (both in- and out-degree.) We’re not sure what the overall error rate is, but for the high-degree nodes it is essentially zero.Unfortunately this translated to only about 60% of the edges. This is because the edges in the test set aren’t sampled uniformly from the training graph; it is biased towards low-degree nodes, and deanonymization succeeds less often on low-degree nodes.Thus, deanonymization alone would have been far from sufficient. Fortunately, Elaine, Ben and Yong did some pretty cool machine learning, which, while it would not have won the contest on its own, would have given the other machine-learning solutions a run for their money. Elaine sends me the following description:====Our ML algorithm is quite similar to what vsh described earlier. However, we implemented fewer features, and spent less time fine tuning parameters. That's why our ML performance is a bit lower, with an *estimated* AUC of 93.5-94%. (Note that the AUC for ML is not corroborated with Kaggle due to the submission quota, but rather, is computed over the ground truth from the deanonymization. The estimate is biased, since the deanonymized subset is not sampled randomly from the test set. [The 93.5-94% number is after applying Elaine’s debiasing heuristic. -- Arvind])We also used Random Forest over features a bunch of features, including the following (with acknowledgements to the ""social network link prediction"" paper): 1) whether reverse edge is present2) Adamic3) |intersection of neighbors| / |union of neighbors|4) Neighborhood clustering coefficient5) Localized random walk 2 - 4 steps6) Degree of n1/n2.7) ... and a few other features, most are 1-3 hop neighborhood characteristics. For some of the above-mentioned features, we computed values for the out-graph, in-graph, and the bi-directional graph (i.e., union of in-graph and out-graph). We wanted to implement more features, but did not due to lack of timeThe best feature by itself is the localized random walk 3-4 steps. This feature on its own has an *estimated* AUC of 92%. The Random Forest implementation used the Python Milk library. http://pypi.python.org/pypi/milk/Combining DA and ML:1) Naive algorithm:For each test case: output DA prediction if DA prediction exists, else ML score2) Improved version: For edge (n1, n2), if n1 and/or n2 has multiple DA candidates, and all candidates unanimously vote yes or no, output the corresponding prediction.Finally, like every one else, there were some trial-and-error tuning and adjustments.====Once we hit No. 1, we emailed the organizers to ask if what we did was OK. Fortunately, they said it was cool. Nevertheless, it is interesting to wonder how a future contest might prevent deanonymization-based solutions. There are two basic approaches: construct the graph so that it is hard to deanonymize, or require the winner to submit the code for human inspection. Neither is foolproof; I’m going to do some thinking about this but I’d like to hear other ideas.Last but not least, a big thanks to Kaggle and IJCNN!",0,None,9 ,Sat Jan 15 2011 10:21:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/257,/competitions/socialNetwork,1st
/byang1,Contesting the Result of This Contest,"I read IND CCA's ""How we did it"" post with great interest. First of all, congratulations to IND CCA for an impressive deanonymization effort. But, at the risk of being a sour loser, I think the contest organizers erred in accepting IND CCA's ""solution"" to the contest, because a significant part of it is basically looking up the answers on Flickr's web site. I'd like to respectfully ask the contest organizers to remove IND CCA from their winning position. I think it goes without saying that you can't just go to the source of data to look up the answers, no matter how cleverly done, in any contest. There's no rule in this contest explicitly saying so, but frankly such a rule is not necessary. Common sense dictates this form of solution should not be acceptable. We seem to have a case confirming the ""common sense is not so common"" quote here. Once it was revealed that the contest data came from Flickr, the idea of crawling Flickr's web site for answers occurred me too, and I'm sure it occurred to many contestants as well. But I quickly dismissed it because I thought, and still think, it is an obvious (perhaps blindingly obvious) form of cheating. Consider a similar situation that occurred in the ""RTA Freeway Travel Time Prediction"" contest, where contestant Jeremy Howard found some traffic details data on an Australian governmet web site. Jeremy asked in the forum if using this data as answers is considered cheating, and the answer is ""this would most definitely be considered cheating"". You can see it in this thread: [Link]:http://www.kaggle.com/view-postlist/forum-29-rta-freeway-travel-time-prediction/topic-195-using-additional-datasets-eg-rain-fog-etc/task_id-2467 Again, I think IND CCA's ""solution"" should not be acceptable for this contest.",0,None,8 ,Sun Jan 16 2011 22:09:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/258,/competitions/socialNetwork,2nd
/grec4852,Any bias in train-test split?,"When generating false entries for test, why sample in prim_universe and sec_universe sets? That means the edges in train set with outdegree=1 or indegree<=1 are definitely true entries. It will impact about 5% entries and affect the AUC result dramatically. BTW, there are still 5 entries in false set with indegree=1 according to the published result.",1,None,3 ,Mon Jan 17 2011 11:33:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/259,/competitions/socialNetwork,5th
/del=0ab3b8c772f1c5cd,DAE Have trouble with line count error?,I've been trying to submit but keep getting an error saying I have the incorrect number of lines. I've checked every which way and I'm sure I have 291 lines. I'm using linux. Could it be a file encoding issue? Has anybody else had this problem before? Thanks.,0,None,1 Comment,Tue Jan 18 2011 10:22:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/260,/competitions/RTA,None
/rcpinto,Prize for Teams,"""The winner receives free registration to the [Link]:http://www.ijcnn2011.org/ (San Jose, California July 31 - August 5, 2011), which is valued at $950. The winner will also be invited to present their solution at the conference.""It's valid for every member of the winner team?",0,None,1 Comment,Wed Jan 19 2011 22:23:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/262,/competitions/stayalert,156th
/predictor,Use of lagged values permitted?,"Is the use of lagged values permitted? In other words, for a given trial, is it allowed to use data from time indices 1 through 8 when predicting time index 9?",0,None,10 ,Thu Jan 20 2011 02:08:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/263,/competitions/stayalert,114th
/dirknbr,3 variables are redundant,"P8, V7 and V9 have only zeros, so could easily be left out.",0,None,1 Comment,Thu Jan 20 2011 21:43:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/264,/competitions/stayalert,91st
/zachpardos,How was the test set generated?,Are the same trials in both and is the test set a chronological extension of the trial or randomly sampled?thanks,0,None,8 ,Fri Jan 21 2011 03:16:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/265,/competitions/stayalert,22nd
/edwardraff,Discrete or Continuous Values,"Clearly most of the Value such as P1 are continuous values, however it is not clear for all of them. For example, E3 only has whole numbers, and in a small range - is it a categorical attribute with a limited number of values, or should we assume it is a continuous variable? E4 is also perplexing, as it has only specific whole number values but in a great range. Is E4 continuous, but the sensor that captured the data not that fine grained, or is it categorical? Could you please provide a list of which attributes are categorical and which are continuous. Also, if there is a finite range of possible values for the continuous variables, that as well please.",0,None,1 Comment,Sat Jan 22 2011 04:11:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/266,/competitions/stayalert,None
/samosvategor,Were units changed?,It seems that linear transforms (x -> a * x + b) were made with some data. Am I right or data units were stayed original? But in general what is the reason to hide actual variables meaning?,0,None,1 Comment,Sun Jan 23 2011 17:57:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/267,/competitions/stayalert,163rd
/samosvategor,Were units changed?,It seems that linear transforms (x -> a * x + b) were made with some data. Am I right or data units were stayed original? But in general what is the reason to hide actual variables meaning?,0,None,1 Comment,Sun Jan 23 2011 17:57:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/268,/competitions/stayalert,163rd
/inference,Relationship between trials,"What is the relationship between trials? Trials are not independent of each other. There is an obvious dependency between nearby trials; the attached image plots the mean alertness during each trial and structure is visible. In particular some regions show a batching into trials of size 11.In particular, it's hard to imagine that data with this type of structure comes from having a random allocation of trials between the test and training set.Thanks.",0,None,4 ,Sun Jan 23 2011 19:37:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/269,/competitions/stayalert,1st
/goodi1342,Sweeping terms and conditions,"Competitors are required to sign on extreme conditions, such as in item 9 in the contract which demands from winners to ""submit to the Competition Host any Model used or consulted by You in generating Your entry""… It makes no sense to claim rights over the tools that we use to create the results. The competition is about results only not about all owr knowledge. Also, such draconian legal terms do not exist in any other competition site that I know. If these conditions are not eliminated, it is hard to see how any professional could agree to take part in here.",0,None,1 Comment,Mon Jan 24 2011 00:18:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/270,/competitions/unimelb,None
/stromnov,Route 40095,"Readings for Route 40095:RTAData.csv, line 1: 213 deciseconds RTAError.csv, line 1: 0 (no errors)RouteLengthApprox.csv, line 20: 2500 meters speed = 2500m / 21.3s * 3600 = 422 kph Most of readings (more than 99%) for Route 40095 are wrong with specified defaults from RouteLengthApprox.csv. What kind of data must be in submission for this Route 40095?1) Real (computed) data?2) Specially ""errorred"" data (some strange value between 191 and 212 deciseconds)?",0,None,1 Comment,Tue Jan 25 2011 15:52:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/272,/competitions/RTA,249th
/ahassaine,Is prize eligible if the paper has not been submitted?,"In other words, is the winner able to keep his/her method secret ?",0,None,2 ,Wed Jan 26 2011 08:19:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/273,/competitions/stayalert,14th
/minghen,Final Evaluation,"Hi there, What submission will be evaluated for the final AUC?Regards,",0,None,2 ,Thu Jan 27 2011 05:53:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/274,/competitions/stayalert,143rd
/ccccat,plagiarism,To all people who asked me to “sent one of submission with rank under 20” because RTA competition is midterm project for their Data Mining course. And to those who was planning to do it: Please be advised that I do not support academic plagiarism. Mooma,0,None,3 ,Fri Jan 28 2011 15:40:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/276,/competitions/RTA,2nd
/dchudz,sharing method/result?,"I'm interested in what people would think of a participant sharing his/her method or results. I'm sure this has been discussed in the forums for other competitions, but I don't want to look there, and I'd like to know what the participants in this one think.Personally, I'm about as interested in having a place for sharing and dialogue about modeling as I am in the competitive aspects. So if I give up (or if I just feel like it), I'd like it to be okay for me to share what I've learned, even before the end of the competition.On the other hand, I could imagine someone who's invested in the competitive aspects feeling like that's giving an 'unfair' advantage to people who might benefit from the information.On the third hand, I'd sort of like to suggest to those people that maybe that kind of ""sharing"" should be considered 'just part of the game', and therefore entirely fair.What do you think?Thanks,David",0,None,5 ,Thu Feb 03 2011 14:33:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/278,/competitions/stayalert,18th
/meliponemoody,Solutions,I assume that the solutions for the test dataset will be posted at the end of the challenge but I'm also interested in recognizing individual patterns in this dataset so I was wondering if we could also have an anonymized id added to the dataset when providing solutions?,0,None,2 ,Thu Feb 03 2011 21:17:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/279,/competitions/stayalert,32nd
/wuweiw,meaning of error data?,"Although I know that a value in the error data is the proportion of loops that have failed, how should it affect the interpretation of relevant travel time? Does the failure of some loops necessarily mean that the travel time is wrong? Can I think the error as the probability of the travel time being wrong? For example, if error is 0.5, does it mean that the travel time is wrong with a probability 0.5? If error is 0.33, what does it mean that the travel time is wrong with a probability 0.33?Or shall I think the error as the extent to which the travel time is wrong?Thank you.",0,None,1 Comment,Sun Feb 06 2011 10:44:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/281,/competitions/RTA,None
/mdagost,How does the contest end?,"I have a question about how the contest ends. Somewhere it says that the winner will be chosen based on the other 75% of the test dataset (the leaderboard is only calculated using 25%, which will be discarded). Does this mean that we'll get additional data to apply our method to? Or is all of the test dataset in the current test set that we have access to, and the leaderboard only uses 25% of what we submit to calculate the standings?Thanks!",0,None,3 ,Mon Feb 07 2011 17:06:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/282,/competitions/unimelb,62nd
/hernandezurbina,"null, 0 and - values","hi, I've just downloaded the data set and at taking a look through it I see that there the variables can take either a numeric value or a '-' or simply nothing. I'd like to ask you, what's the difference between a zero value, null value and '-'?Regards,Victor.",0,None,2 ,Tue Feb 08 2011 14:26:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/283,/competitions/informs2010,None
/ccccat,Congratulations,Congratulations to Team Irazu with best RTA Travel Time Prediction! Mooma,0,None,14 ,Sun Feb 13 2011 23:49:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/284,/competitions/RTA,2nd
/hungeg,Binomial deviance,"Hi,how the binomial deviance when generating the leaderboard is computed? The equation what I know for binom deviance is -sum( i,j; outcome_is_i*log(predicted_probabilty_for_j)) But there are problems with applying this formula:1. We submit only one probability value per game, which means that this type of deviation works only for a twofold outcome. But in our case obviously we have three possibilites (W/L/D).2. the range of binom deviance is from 0 to positive infinity (even for only one observation). However, looking at the leaderboard I can see values ranging between 0 and 1 (actually from 0.25 to 0.99, but it fits finely into (0,1) )So I would appreciate some clarification on how the competitors score is calculated.Cheers,Gergely",0,None,9 ,Mon Feb 14 2011 02:03:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/285,/competitions/ChessRatings2,None
/abcdefg3381,Any plan to publish the answer of the competition?,"Hi everyone, I'm new to this website.Is there any plan from kaggle.com or IJCNN to publish the answer of this competition? i.e. of the 8,960 edges, which 4,480 are true?Would be good if we can further test our algorithms.Cheers,XF",0,None,8 ,Mon Feb 14 2011 04:38:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/286,/competitions/socialNetwork,None
/rcpinto,Winning Ideas,"Congratulations to everyone, mainly the top competitors!So, please, I'd like to ask if some top competitors could share their ideas here. No code, no data, just the main ideas that you think contributed to your success!Thanks in advance!",0,None,1 Comment,Mon Feb 14 2011 12:43:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/287,/competitions/RTA,211th
/savvy5565,How to do justice to the less usage of P?,"I'd like to know how the final submission will be evaluated, besides the correct rate, but on the number of usage of P, since it is written in the description that the less usage of the P features is considered valuable.So say I have a 80% done by using 8 P's, and some has 75% using 5, and some got 70% without using any P.... how would you rank those three?",0,None,1 Comment,Tue Feb 15 2011 19:00:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/288,/competitions/stayalert,None
/imaxus,Games played at the same month.,"Hi, Kaggle team!Suppose game 'A' with PTID t_1, and game 'B' with PTID t_2, and t_1 < t_2 holds.Am I right, that there is no guarantee, that game 'A' was played earlier than game 'B'?I mean the case of the same month.",0,None,3 ,Tue Feb 15 2011 23:28:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/289,/competitions/ChessRatings2,None
/inference,Ford,"I'm curious, what is the relationship between Ford and this competition? Their name is in the title and their logo is being used but I can't obviously find a mention of this competition on a Ford website. I'm surprised they don't want to advertise this competition themselves? Most companies are keen to claim any publicity they can!Thanks.",0,None,3 ,Wed Feb 16 2011 19:17:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/295,/competitions/stayalert,1st
/del=c80d14d0aa54bfa6,Results and Use of Data Set,"Hi,Fist let me say that it was a fun competition and I enjoyed it. Now, that it will be ending soon I was wandering what happens afterwards.Will the test data with the correct answers be made available to everyone?Also, to what extent is this data set public? Do we have permission to use it in papers and publications? If so, how should it be referenced?How long will this data set remain on-line for reference purposes?Best Regards,Greg",0,None,7 ,Thu Feb 17 2011 08:33:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/296,/competitions/unimelb,None
/pavelbelchev,Ignore if you find this question stupid...,"... but isn't it possible by sending multiple submissions and comparing their performance (through the binomial deviance) to figure out some crucial information about the outcomes of the chess games in the test database? I am not exactly a master in quantitative statistical analysis, however, I think that in this way it is possible (even though quite timetaking) to even go to the actual scores in each single game played. Moreover, thus, you will not even need any information on the identity of the players. And it seems like current rules do not define this as cheating. To say the least the binomial deviance provides good data on the number of draws that happened so far. This approach will of course bias the otherwise nice idea to predict as good as possible the outcomes based solely on previous data and actual statistical skills. And for this reason I would suggest that you keep updating the leaderboard table publically only for games that have finished already (or let's say after the first month of the 3 months of test dataset games). And eventually publishing the standing of the overall performance as soon as all games finish.In this way you will still have a good number of observations on which the competitors will try to increase their binomial deviance score, but you will hide the ""Rosetta Stone"" and thus will prevent having some unwelcome submissions. By unwelcome I mean exactly those guys that were 'receiving faxes from the future' with the real outcomes of (potentially all) games. Of course they will not submit in a way to reveal they did so and would mask it allowing the necessary variance to just win the contest. In any case, if what I am afraid of actually makes sense, I do not see a different way of hindering this unwanted behavior than the one I proposed in the above paragraph. Excuse me, in case what I wrote is just a misunderstanding or simple nonsense.",0,None,2 ,Thu Feb 17 2011 16:19:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/297,/competitions/ChessRatings2,None
/go4breakthru,public revelation,"From the rules page:""In order to receive a main prize, the top finishers must publicly reveal all details of their methodology within seven days after the completion of the contest...""Perhaps Jeff Sonas could spell out for us, the expected ""what"" and ""how"" of this.Thanks!George Kangas",0,None,4 ,Fri Feb 18 2011 00:35:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/298,/competitions/ChessRatings2,94th
/dirknbr,Chessmetrics algorithm,"I was trying to code the chessmetrics algorithm but I am struggling a bit. This is a Python version without padding or weighting which I don't understand. What also seems weird that a rating only depends on the opponents but not on a player's own previous rating. m=month, w=white, b=black, s=score ------------------------------------------------------#initialisefor p in players: players[p]=2200#aggregate at monthplayermonth={}for g in games: m=g[0] w=g[1] b=g[2] s=g[3] if [w,m] not in playermonth: playermonth[w,m]=[0,0,[],0] #sumscore games opponents rating playermonth[w,m][0]+=s playermonth[w,m][1]+=1 playermonth[w,m][2].append(b) if [b,m] not in playermonth: playermonth[b,m]=[0,0,[],0] playermonth[b,m][0]+=1-s playermonth[b,m][1]+=1 playermonth[b,m][2].append(w) for m in range(130): for p in players: if [p,m] in playermonth: #get opponent ratings oppsum=0 for o in playermonth[p,m][2]: oppsum+=player[o] n=playermonth[p,m][1] rating=oppsum/n+850*(playermonth[p,m][0]/n-.5) playermonth[b,m][3]=rating player[p]=rating#testfor g in testgames: w=g[1] b=g[2] pred=(player[w]-player[b])/850+.5",0,None,3 ,Sun Feb 20 2011 10:41:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/299,/competitions/ChessRatings2,68th
/ejlok1,Well done to everyone!,"Hi all First and fore most, congratulations to Jeremy Howard for winning the contest, and the top 5 contestants. Also, well done to everyone in the top 10 as well. It was a very very very close match, with just a tiny fraction that sets us all apart. And kudo's to everyone who tried their best. This was my first competition and I've enjoyed it thoroughly, so thanks to Anthony for organising this. I've learned alot during the course of this competition and would love to hear everyone else's story and their experience in this competition.ThanksEu Jin",0,None,1 Comment,Sun Feb 20 2011 23:44:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/300,/competitions/unimelb,10th
/jhoward,I'm ineligible for the prize - congrats to Quan Sun,"Because I have recently started employment with Kaggle, I am not eligible to win any prizes. Which means the prize-winner for this comp is Quan Sun (team 'student1')! Congratulations!My approach to this competition was to first analyze the data in Excel pivottables. I looked for groups which had high or low application success rates. In this way, I found a large number of strong predictors - including by date (new years day is a strong predictor, as are applications processed on a Sunday), and for many fields a null value was highly predictive.I then used C# to normalize the data into Grants and Persons objects, and constructed a dataset for modeling including these features: CatCode, NumPerPerson, PersonId, NumOnDate, AnyHasPhd, Country, Dept, DayOfWeek, HasPhd, IsNY, Month, NoClass, NoSpons, RFCD, Role, SEO, Sponsor, ValueBand, HasID, AnyHasID, AnyHasSucc, HasSucc, People.Count, AStarPapers, APapers, BPapers, CPapers, Papers, MaxAStarPapers, MaxCPapers, MaxPapers, NumSucc, NumUnsucc, MinNumSucc, MinNumUnsucc, PctRFCD, PctSEO, MaxYearBirth, MinYearUni, YearBirth, YearUni .Most of these are fairly obvious as to what they mean. Field names starting with 'Any' are true if any person attached to the grant has that feature (e.g. 'AnyHasPhd'). For most fields I had one predictor that just looks at person 1 (e.g. 'APapers' is number of A papers from person 1), and one for the maximum of all people in the application (e.g. 'MaxAPapers').Once I had created these features, I used a generalization of the random forest algorithm to build a model. I'll try to write some detail about how this algorithm works when I have more time, but really, the difference between it and a regular random forest is not that great.I pre-processed the data before running it through the model by grouping up small groups in categorical variables, and replacing continuous columns with null values with 2 columns (one containing a binary predictor that is true only where the continuous column is null, the other containing the original column, with nulls replaced by the median). Other than the Excel pivottables at the start, all the pre-processing and modelling was done in C#, using libraries I developed during this competition. I hope to document and release these libraries at some point - perhaps after tuning them in future comps.",3,None,4 ,Mon Feb 21 2011 03:33:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/301,/competitions/unimelb,1st
/antgoldbloom,Solution,"The solution file is attached to this post.Thanks all for participating,Anthony",11,None,11 ,Mon Feb 21 2011 09:08:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/302,/competitions/unimelb,153rd
/vatodorov,Binary or continuous predictions for the predicted outcome,"Hi, what should be the type of the final predictions - binary (0/1) or continuous in the range 0-1? I looked at the submission example, but all of the values for the predicted variable are 0s.thanks,Valentin",0,None,3 ,Mon Feb 21 2011 15:45:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/303,/competitions/stayalert,77th
/go4breakthru,suggestion for Jeff: FIDE prize leader board,"The Deloitte competition, and the FIDE competition, have very different rules. It appears to me, that a viable Deloitte competitor will necessarily be much too data intensive too qualify for the FIDE prize. The Deloitte competitors can see how they're doing, by a look at the leaderboard (I'm assuming it's all Deloitte near the top); the FIDE hopefuls, on the other hand, don't have any idea who their top competitors are. A separate leader board, or even just a ""FIDE qualified?"" column in the current one, is the remedy I'm suggesting. It will only work if the competing teams volunteer to submit that bit of info, so let me be the first: my entry (if I ever get it together) will not be remotely qualified for the FIDE prize. Anybody else? (Edit) Perhaps some teams would wish to make separate entries: one to qualify for Deloitte, the other for FIDE. (reEdit) This damn box is making some of my text bold! How do I stop it?",0,None,7 ,Tue Feb 22 2011 17:49:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/304,/competitions/ChessRatings2,94th
/vatodorov,AUC for training and test datasets,"I don't have a question, but want to comment on the calculated AUC statistics.I developed a few different predictive models using only 2/3 of the training dataset (, records) and tested them on the remaining 1/3 (200,649 records), which are in a holdout dataset. The observations were randomly distributed between the datasets. The AUCs I calculated on the holdout are in the range 0.831-0.875. The lift tables and c-statistic for the models are also quite good. However, I am surprised to see that the AUCs calculated upon submission on Kaggle's website are lower than 0.765.If the data between train and test files is randomly distributed, I expect to see the AUC for the test dataset similar to the one I calculated for holdout. However, they are quite different.Any thoughts?",0,None,31 ,Wed Feb 23 2011 04:51:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/305,/competitions/stayalert,77th
/frandom,cross validation vs leader board,"Hello all - I am seeing massive differnces between my cross validation set and the leaderboard binomial deviance results. Has anyone else observed similar issues? I am using the last 100000 games in the training set for cross validation, discarding any games where either player has not completed 12 games as per test set design.V.",0,None,24 ,Wed Feb 23 2011 17:36:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/306,/competitions/ChessRatings2,31st
/georgechen0,why final result is so different than leaderboard?,"I am not really following this competition. But I vaguely remember that [Link]:http://www.kaggle.com/team?team_id=2196 was leading with a big margin. Now Li is in position 14 ??? Two possible reasons: 1) Li (over)tuned his results toward partial data set, or 2) the leaderboard data set is not representative of the final result data set? I wonder if anyone cares to shed some light here? And how to prevent this from happening again?",0,None,2 ,Thu Feb 24 2011 02:31:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/307,/competitions/unimelb,None
/meliponemoody,Number of submissions,I was not clear from the FAQ. Can we make several submissions?,0,None,2 ,Thu Feb 24 2011 22:53:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/308,/competitions/stayalert,32nd
/johnlucas0,Chessmetrics Benchmark,Jeff - can I ask a question about the ChessMetrics benchmark? In the contest information you say that this time you used a logistic function rather than a linear function. Was this just when making predictions? Or also when calculating ratings (i.e. in the iterative loop that calculates ratings for the connected pool)? Thanks.,0,None,2 ,Sat Feb 26 2011 17:38:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/309,/competitions/ChessRatings2,29th
/salimali,Benchmarks,"Here is the first benchmark to beat - a simple decision tree.Gives 0.89 on the training file, but only 0.52 on the leaderboard.Below is the R code used to generate the model and submission file.################# Load the Data################setwd(""C:/somewhere"")mydata <- read.csv(""overfitting.csv"", header=TRUE)colnames(mydata)#############################create train and test sets############################trainset = mydata[mydata$train == 1,]testset = mydata[mydata$train == 0,]##############################################eliminate unwanted columns from train set#############################################trainset$case_id = NULLtrainset$train = NULLtrainset$Target_Evaluate = NULLtrainset$Target_Practice = NULLcolnames(trainset)NROW(trainset)NROW(testset)########################################## Build a Tree#########################################library(rpart)tree_model <- rpart(Target_Leaderboard ~ ., data=trainset, method=""class"")train_TREE <- predict(tree_model, trainset)test_TREE <- predict(tree_model, testset)########################################## CALCULATE THE AUC ON THE TRAINING DATA#########################################library(caTools)trainAct = trainset$Target_LeaderboardtrainModel = train_TREE[,2]cat(""TREE training:"",(colAUC(trainModel,trainAct)))# TREE training: 0.8981357#########################################Generate a file for submission########################################testID <- testset$case_idpredictions <- test_TREE[,2]submit_file = cbind(testID,predictions)write.csv(submit_file, file=""tree_benchmark.csv"", row.names = FALSE)",0,None,21 ,Tue Mar 01 2011 01:40:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/310,/competitions/overfitting,98th
/byang1,manual visual inspection OK ?,"Is result based on manual visual inspection allowed at all ? For example, if I see one writer likes to underline words, and then I manually attribute all test writings with a lot of underlining to him, instead of writing an underline detector.",0,None,1 Comment,Tue Mar 01 2011 08:51:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/311,/competitions/WIC2011,None
/byang1,2 questions about contests in general,"Hi, I have two questions that are not specific to this contest, but apply to contests on Kaggle in general: A. Why does Kaggle like to use 30% or less of the test data for public leaderboard scores ? I think with smallish sample sizes, it leads to large and random difference between public scores and hidden test scores. Why not just use 50-50 split ? If you're worried about people gaming the system by using public scores, just explicitly ban this method. B. Why not release the actual code used to calculate scores ? And a sample test submission, a sample answer set, and the corresponding score.",0,None,6 ,Tue Mar 01 2011 08:55:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/312,/competitions/overfitting,None
/sashikanthdareddy,Data?,"Hello,I'm a bit lost with the way targets are presented in this dataset. case_id train Target_Practice Target_Leaderboard Target_Evaluate Why are there 3 targets?My understanding is that, when one builds a model, it should be trained on the data where train=1keeping target = ""Target_Practice"". Now, am I supposed to validate my model on target =""Target_Leaderboard""?",0,None,5 ,Tue Mar 01 2011 14:38:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/313,/competitions/overfitting,149th
/suelevene,rank ordering challenge?,"What do you mean by a rank ordering challenge? I am not clear on how the results are evaluated. If I submit values between 0 and 1, how if the accuracy calculated.Thanks -- Sue",0,None,2 ,Tue Mar 01 2011 23:16:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/314,/competitions/overfitting,None
/trilobite17,What is the evaluation method?,What is the evaluation method? The other contests describe that.,0,None,15 ,Wed Mar 02 2011 03:10:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/315,/competitions/WIC2011,None
/tteravai,discrepancy?,"maybe i'm missing something totally obvious, but the training set includes 54 authors (2 paragfs each for a total of 108 training vectors). adding one for the unknown, this makes 55 probabilities per line. however the instructions and sample_train.csv have only space for 54 (including the unknown). specifically, the sample_train.csv seems to omit author ""040"" who does appear in train.csv. what's up with this?i'm currently working only with the data in train.csv, but there is an author ""040"" in the images data too.",0,None,10 ,Wed Mar 02 2011 06:11:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/316,/competitions/WIC2011,12th
/arussantoso,About the parameter,"I want to ask about the parameter (for each column), represent what kind of condition?Example:P4 --> represent emotion, if >70 then angry; or if >50 then happyetc...Please tell me. Thank you, thank you for your attention",0,None,2 ,Wed Mar 02 2011 15:07:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/317,/competitions/stayalert,None
/uriblass,bug in the leaderboard,My last 2 submissions are0.254318 and0.254338but I see in the leaderboard the 0.254338 number and not the 0.254318 numberI plan to continue to develop my code from the last submission and the difference between the numbers is too small not to trust the leaderboard but I wonder if the leaderboard gives the last submission and not the best submission.,0,None,25 ,Thu Mar 03 2011 08:18:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/319,/competitions/ChessRatings2,7th
/georgechen0,K Factor in Elo,"A perhaps silly question but still would like to know the answer.If a player with K factor = 16 played against another with K factor = 32. After the game, when I update their ratings, which K factor should I use? Or should I apply their own K factors (in other words, the guy with K factor = 16 gets a smaller update and another gets a bigger update)? Thanks in advance!",0,None,1 Comment,Thu Mar 03 2011 21:09:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/320,/competitions/ChessRatings2,28th
/ahassaine,DATASET CHANGE IS NOT NECESSARY,"Since there were an error in the evaluation metric and no one has achieved 0 error yet. We finally believe that the change of dataset is not necessary.If several participants happen to score a 0 error (on the final leaderboard), the first one to have scored it will be the winner of the competition.However, be aware that scoring 0 in the public leaderboard does in no way mean that it will also be 0 in the final leaderboard.Anthony will kindly put this in the data description page.Apologies again and good luck.",0,None,6 ,Fri Mar 04 2011 05:14:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/321,/competitions/WIC2011,7th
/salimali,Relevant Reading?,This recent kdnuggets article may be relevant [Link]:http://www.kdnuggets.com/2011/02/course-regression-modeling-correlated-predictors.html The book ESL it refers to can be downloaded from [Link]:http://www.stanford.edu/%7Ehastie/local.ftp/Springer/,0,None,5 ,Fri Mar 04 2011 11:44:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/322,/competitions/overfitting,98th
/uriblass,Note that I used the test dataset as an additional source,"to predict results in my submissions(for example I give a bonus based on experience so players who played more games get higher rating in later months based on the fact that they played) I used it in the previous competition and Jeff asked me to give a result based on my method.Only now I read that the test data includes false games that never happened so I am surprised that my result in the leaderboard is so good and maybe the problem is that inspite of wrong games there is still a correlation between the number of real games that a player played in the data set and the number of games that are reported so the bonus for experience help.Only now when I read details about the data I read the following:""Please note that you should NOT use the test dataset as an additional source of clues about a player's strength. The predictions for months 133-135 should be based upon the players' estimated playing abilities at the end of month 132, and these predictions must be completely prospective, as though you made the predictions right at the end of month 132.""Note that I did not use the details in order to cheat in the competition and I really got the impression that everything is allowed except using the real results of part of the players that it may be possible to find (and I did not try to do it).Jeff even asked me to use my previous method that also use the test dataset as an additional source so I did not suspect that my previous method is not allowed in this competition.I am afraid that now the leaderboard is meaningless because people can get better results in the leaderboard by using the test data as an additional source.",0,None,19 ,Fri Mar 04 2011 12:07:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/323,/competitions/ChessRatings2,7th
/cerin5111,Site Problems,"This site seems to be experiencing a tremendously large number of problems. It appeared to be down almost all day, and even though it seems to be up now, I can't upload a submission due to the server error: ""Error JFolder::create: Could not create directory Error uploading file"". Anyone else having problems with the site?",0,None,6 ,Sun Mar 06 2011 01:17:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/324,/competitions/WIC2011,15th
/salimali,Leaderboard,The attached image is the leaderboard as of 7th March.1. Cole Harris seems to have discovered something no one else has yet.2. The current benchmark seems to have been replicated OK by a few competitors,0,None,21 ,Sun Mar 06 2011 21:46:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/325,/competitions/overfitting,98th
/dejavu,leaderboard auc,Is the leaderboard AUC computed from all 19750 datapoints (251-20000)?,0,None,1 Comment,Sun Mar 06 2011 22:09:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/326,/competitions/overfitting,24th
/zachpardos,top two teams with same AUC,"Rosanne jumped out to an impressive lead with an AUC of 0.934222. This level of AUC would appear to either be explained by an over fitting procedure based on leaderboard feedback of previous submissions or an approach that nearly ""solves"" this dataset.Somehow, though, a second leader ""shen"" has submitted with the exact same AUC score. Matching the AUC with six significant digits is not likely to happen by chance. Anyone believe this could be the result of two independent participants utilizing the same killer knowledge representation method with the same parameters at the same time in the competition?Whatever the explanation is for the identical AUCs, it's quite clear that someone has done an admirable job with this challenge.",0,None,21 ,Tue Mar 08 2011 07:59:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/327,/competitions/stayalert,22nd
/jaysen,"Methods/Tips From Non-Top 3 Participants,","While it's universally interesting to understand what methods were used by the top participants (especially in this contest where there are some large gaps in AUC at the top), I suspect that many others who participated also have clever methods or insights. While we wait for the top finishers to post on ""No Free Hunch"", I thought it would be interesting to hear from anyone else who might wish to share. Many of the models are quite good and would produce better results than the methods used by persons in industry.My results (#15):Overall method: randomForest() in R, 199 trees, min node size of 25, default setting for other valuesSampling: Used 10% of the training dataset to train the randomForest. Also included any data points that were within 500ms of a state change (where isalert shifted from 1 to 0 or vice-versa). About 110,000 rows total.Data Transformations: Tossed out correlated variables, such as p7 (inverse correlation with p6) and p4 (inverse correlation with p3)Transformed p3 into an element of {""High"", ""Mid"", ""Low""} based on the probability of being alert. Where p3 is an even multiple of 100, the probability of being alert is systematically higher. Where ""p3 mod 100"" is 84, 16, or 32, there is also a greater chance of being alert (""Mid""). Call everything else ""Low"".The histogram of p5 clearly shows a bimodal distribution. Transformed p5 into a 1/0 indicator variable with a breakpoint at p5=0.1750.Transformed e7 and e8 to lump together all buckets greater than or equal to 4.Transformed v11 into 20-tiles to convert strangely shaped distribution into a discrete variable.Tried and Denied:Lagging valuesMoving averageColor Commentary:RandomForest's ability to ""fit"" the training data presented was very strong. However, the out-of-bucket (OOB) error rate, as reported by R, was highly misleading. The OOB error rate could be driven down to the 1-3% range. However, those models produced somewhat worse results on a true out-of-sample validation set. Keeping randomForest tuned to produce OOB error rates of 8-10% produced the best results in this case.Because many of the training cases are similar, randomForest performed better when using just a sample of the overall training data (hence the decision to train on only about 110,000 rows). RandomForest also under-performed when the default nodesize (either 1 or 5) was used. The explicit adjustment of nodesize to other values, such as 10, 25, and 50, produced noticeably different error rates on true out-of-sample data.",2,None,8 ,Thu Mar 10 2011 03:28:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/328,/competitions/stayalert,13th
/jonred,Nature of values,"Is there any information on the nature of the data and methodologies used to create it?eg chaincode8order4_4096[1234] - i (barely) understand chain codes but what exactly do the 8,4,4096,1234 mean?Thanks Jon",0,None,2 ,Fri Mar 11 2011 23:10:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/330,/competitions/WIC2011,None
/antgoldbloom,Test labels,The solution is attached.Thanks all for participating!Anthony,5,None,10 ,Sun Mar 13 2011 00:04:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/331,/competitions/stayalert,170th
/sashikanthdareddy,How do we test for overfitting,"Hello All,My understanding, & as noted in the information section of this competition, is that when one overfits their model it shows up with suboptimal predictions on test data. For example: as shown with the Random forests technique, you may get 100% AUC on training data but only ~75% on test data - is that not sub-optimal? One more question - how does one measure overfitting?",0,None,3 ,Sun Mar 13 2011 06:18:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/332,/competitions/overfitting,149th
/ahassaine,Benchmark,"Dear participants,Below is the c++ code used to generate the benchmark.Comments are welcome.#include ""stdafx.h""#include <fstream>#include <conio.h>#include <list>#include <iostream>#include <sstream>#include <vector>#include <string>#include <math.h>using namespace std;//class handling the provided featuresclass document_features{public: document_features() { ThicknessLengthsCircleHist30=new double[30]; XProjectionHist10=new double[10]; YProjectionHist10=new double[10]; Distribution10x10_100=new double[100]; tortuosityHist10=new double[10]; tortuosityDirectionHist10=new double[10]; tortuosityDerivateHist10=new double[10]; tortuosityDerivateDirectionHist10=new double[10]; nbbranches_1=new double[1]; LengthsOfBranchesHist_10=new double[10]; numberOfPixels1=new double[1]; XFilledProjectionHist10=new double[10]; YFilledProjectionHist10=new double[10]; Barycenter2=new double[2]; DirectionPerpendicular5Hist10=new double[10]; CurvaturePerpendicular5Hist100=new double[100]; luminanceHist256=new double[256]; CurvatureAli5Hist100=new double[100]; CurvaturesDerivateAli5Hist100=new double[100]; CurvatureAli10Hist100=new double[100]; CurvaturesDerivateAli10Hist100=new double[100]; CurvatureAli15Hist100=new double[100]; CurvaturesDerivateAli15Hist100=new double[100]; CurvatureAli20Hist100=new double[100]; CurvaturesDerivateAli20Hist100=new double[100]; chaincodeHist_4=new double[4]; chaincodeHist_8=new double[8]; chaincode8order2_64=new double[64]; chaincode4order2_16=new double[16]; chaincode4order3_64=new double[64]; chaincode8order3_512=new double[512]; chaincode4order4_256=new double[256]; chaincode8order4_4096=new double[4096]; NumberOfConnectedComponents_1=new double[1]; NumberOfHoles_1=new double[1]; Fourier_1=new double[1]; Fourier_5=new double[5]; Fourier_9=new double[9]; Fourier_15=new double[15]; } double*ThicknessLengthsCircleHist30,*XProjectionHist10,*YProjectionHist10,*Distribution10x10_100,*tortuosityHist10,*tortuosityDirectionHist10,*tortuosityDerivateHist10,*tortuosityDerivateDirectionHist10,*nbbranches_1,*LengthsOfBranchesHist_10,*numberOfPixels1,*XFilledProjectionHist10,*YFilledProjectionHist10,*Barycenter2,*DirectionPerpendicular5Hist10,*CurvaturePerpendicular5Hist100,*luminanceHist256,*CurvatureAli5Hist100,*CurvaturesDerivateAli5Hist100,*CurvatureAli10Hist100,*CurvaturesDerivateAli10Hist100,*CurvatureAli15Hist100,*CurvaturesDerivateAli15Hist100,*CurvatureAli20Hist100,*CurvaturesDerivateAli20Hist100,*chaincodeHist_4,*chaincodeHist_8,*chaincode8order2_64,*chaincode4order2_16,*chaincode4order3_64,*chaincode8order3_512,*chaincode4order4_256,*chaincode8order4_4096,*NumberOfConnectedComponents_1,*NumberOfHoles_1,*Fourier_1,*Fourier_5,*Fourier_9,*Fourier_15; double SpatialMoment00,SpatialMoment10,SpatialMoment20,SpatialMoment30,SpatialMoment01,SpatialMoment11,SpatialMoment21,SpatialMoment02,SpatialMoment12,SpatialMoment03,CentralMoment00,CentralMoment10,CentralMoment20,CentralMoment30,CentralMoment01,CentralMoment11,CentralMoment21,CentralMoment02,CentralMoment12,CentralMoment03,NormalizedCentralMoment00,NormalizedCentralMoment10,NormalizedCentralMoment20,NormalizedCentralMoment30,NormalizedCentralMoment01,NormalizedCentralMoment11,NormalizedCentralMoment21,NormalizedCentralMoment02,NormalizedCentralMoment12,NormalizedCentralMoment03,HuMoment1,HuMoment2,HuMoment3,HuMoment4,HuMoment5,HuMoment6,HuMoment7; int writer_id;};void main(){ //training phase std::ifstream data(""train.csv""); int linenum=0; string line; document_features**my_document_features=new document_features*[108]; string item;//=new char[4]; //reading the training documents while (getline (data, line)) { cout << ""\nLine #"" << linenum << "":"" << endl; istringstream linestream(line); if(linenum>0) { int row_index=linenum-1; my_document_features[row_index]=new document_features(); getline (linestream, item, ','); my_document_features[row_index]->writer_id=atoi(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NumberOfConnectedComponents_1[0]=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NumberOfHoles_1[0]=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment00=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment10=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment20=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment30=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment01=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment11=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment21=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment02=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment12=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->SpatialMoment03=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment00=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment10=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment20=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment30=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment01=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment11=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment21=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment02=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment12=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->CentralMoment03=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment00=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment10=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment20=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment30=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment01=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment11=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment21=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment02=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment12=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->NormalizedCentralMoment03=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->HuMoment1=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->HuMoment2=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->HuMoment3=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->HuMoment4=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->HuMoment5=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->HuMoment6=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->HuMoment7=atof(item.c_str()); for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->XProjectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->YProjectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->XFilledProjectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->YFilledProjectionHist10[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->Distribution10x10_100[x]=atof(item.c_str()); } getline (linestream, item, ','); my_document_features[row_index]->Barycenter2[0]=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->Barycenter2[1]=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->numberOfPixels1[0]=atof(item.c_str()); getline (linestream, item, ','); my_document_features[row_index]->Fourier_1[0]=atof(item.c_str()); for(int x=0;x<5;x++) { getline (linestream, item, ','); my_document_features[row_index]->Fourier_5[x]=atof(item.c_str()); } for(int x=0;x<9;x++) { getline (linestream, item, ','); my_document_features[row_index]->Fourier_9[x]=atof(item.c_str()); } for(int x=0;x<15;x++) { getline (linestream, item, ','); my_document_features[row_index]->Fourier_15[x]=atof(item.c_str()); } getline (linestream, item, ','); my_document_features[row_index]->nbbranches_1[0]=atof(item.c_str()); for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->LengthsOfBranchesHist_10[x]=atof(item.c_str()); } for(int x=0;x<30;x++) { getline (linestream, item, ','); my_document_features[row_index]->ThicknessLengthsCircleHist30[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->tortuosityHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->tortuosityDirectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->tortuosityDerivateHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->tortuosityDerivateDirectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_document_features[row_index]->DirectionPerpendicular5Hist10[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvaturePerpendicular5Hist100[x]=atof(item.c_str()); } for(int x=0;x<256;x++) { getline (linestream, item, ','); my_document_features[row_index]->luminanceHist256[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvatureAli5Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvaturesDerivateAli5Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvatureAli10Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvaturesDerivateAli10Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvatureAli15Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvaturesDerivateAli15Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvatureAli20Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_document_features[row_index]->CurvaturesDerivateAli20Hist100[x]=atof(item.c_str()); } for(int x=0;x<4;x++) { getline (linestream, item, ','); my_document_features[row_index]->chaincodeHist_4[x]=atof(item.c_str()); } for(int x=0;x<8;x++) { getline (linestream, item, ','); my_document_features[row_index]->chaincodeHist_8[x]=atof(item.c_str()); } for(int x=0;x<64;x++) { getline (linestream, item, ','); my_document_features[row_index]->chaincode8order2_64[x]=atof(item.c_str()); } for(int x=0;x<16;x++) { getline (linestream, item, ','); my_document_features[row_index]->chaincode4order2_16[x]=atof(item.c_str()); } for(int x=0;x<64;x++) { getline (linestream, item, ','); my_document_features[row_index]->chaincode4order3_64[x]=atof(item.c_str()); } for(int x=0;x<512;x++) { getline (linestream, item, ','); my_document_features[row_index]->chaincode8order3_512[x]=atof(item.c_str()); } for(int x=0;x<256;x++) { getline (linestream, item, ','); my_document_features[row_index]->chaincode4order4_256[x]=atof(item.c_str()); } for(int x=0;x<4096;x++) { getline (linestream, item, ','); my_document_features[row_index]->chaincode8order4_4096[x]=atof(item.c_str()); } } linenum++; } //difference between features of all documents in the training set std::ofstream differences(""train_differences.csv""); differences<<""SameWriter,NumberOfConnectedComponents_1,NumberOfHoles_1,SpatialMoment00,SpatialMoment10,SpatialMoment20,SpatialMoment30,SpatialMoment01,SpatialMoment11,SpatialMoment21,SpatialMoment02,SpatialMoment12,SpatialMoment03,CentralMoment00,CentralMoment10,CentralMoment20,CentralMoment30,CentralMoment01,CentralMoment11,CentralMoment21,CentralMoment02,CentralMoment12,CentralMoment03,NormalizedCentralMoment00,NormalizedCentralMoment10,NormalizedCentralMoment20,NormalizedCentralMoment30,NormalizedCentralMoment01,NormalizedCentralMoment11,NormalizedCentralMoment21,NormalizedCentralMoment02,NormalizedCentralMoment12,NormalizedCentralMoment03,HuMoment1,HuMoment2,HuMoment3,HuMoment4,HuMoment5,HuMoment6,HuMoment7,XProjectionHist10,YProjectionHist10,XFilledProjectionHist10,YFilledProjectionHist10,Distribution10x10_100,Barycenter2,numberOfPixels1,Fourier_1,Fourier_5,Fourier_9,Fourier_15,nbbranches_1,LengthsOfBranchesHist_10,ThicknessLengthsCircleHist30,tortuosityHist10,tortuosityDirectionHist10,tortuosityDerivateHist10,tortuosityDerivateDirectionHist10,DirectionPerpendicular5Hist10,CurvaturePerpendicular5Hist100,luminanceHist256,CurvatureAli5Hist100,CurvaturesDerivateAli5Hist100,CurvatureAli10Hist100,CurvaturesDerivateAli10Hist100,CurvatureAli15Hist100,CurvaturesDerivateAli15Hist100,CurvatureAli20Hist100,CurvaturesDerivateAli20Hist100,chaincodeHist_4,chaincodeHist_8,chaincode8order2_64,chaincode4order2_16,chaincode4order3_64,chaincode8order3_512,chaincode4order4_256,chaincode8order4_4096\n""; //comparing each pair of documents for(int document_index1=0;document_index1<107;document_index1++) for(int document_index2=document_index1+1;document_index2<108;document_index2++) { double NumberOfConnectedComponents_1=0,NumberOfHoles_1=0,SpatialMoment00=0,SpatialMoment10=0,SpatialMoment20=0,SpatialMoment30=0,SpatialMoment01=0,SpatialMoment11=0,SpatialMoment21=0,SpatialMoment02=0,SpatialMoment12=0,SpatialMoment03=0,CentralMoment00=0,CentralMoment10=0,CentralMoment20=0,CentralMoment30=0,CentralMoment01=0,CentralMoment11=0,CentralMoment21=0,CentralMoment02=0,CentralMoment12=0,CentralMoment03=0,NormalizedCentralMoment00=0,NormalizedCentralMoment10=0,NormalizedCentralMoment20=0,NormalizedCentralMoment30=0,NormalizedCentralMoment01=0,NormalizedCentralMoment11=0,NormalizedCentralMoment21=0,NormalizedCentralMoment02=0,NormalizedCentralMoment12=0,NormalizedCentralMoment03=0,HuMoment1=0,HuMoment2=0,HuMoment3=0,HuMoment4=0,HuMoment5=0,HuMoment6=0,HuMoment7=0,ThicknessLengthsCircleHist30=0,XProjectionHist10=0,YProjectionHist10=0,Distribution10x10_100=0,tortuosityHist10=0,tortuosityDirectionHist10=0,tortuosityDerivateHist10=0,tortuosityDerivateDirectionHist10=0,nbbranches_1=0,LengthsOfBranchesHist_10=0,numberOfPixels1=0,XFilledProjectionHist10=0,YFilledProjectionHist10=0,Barycenter2=0,DirectionPerpendicular5Hist10=0,CurvaturePerpendicular5Hist100=0,luminanceHist256=0,CurvatureAli5Hist100=0,CurvaturesDerivateAli5Hist100=0,CurvatureAli10Hist100=0,CurvaturesDerivateAli10Hist100=0,CurvatureAli15Hist100=0,CurvaturesDerivateAli15Hist100=0,CurvatureAli20Hist100=0,CurvaturesDerivateAli20Hist100=0,chaincodeHist_4=0,chaincodeHist_8=0,chaincode8order2_64=0,chaincode4order2_16=0,chaincode4order3_64=0,chaincode8order3_512=0,chaincode4order4_256=0,chaincode8order4_4096=0,Fourier_1=0,Fourier_5=0,Fourier_9=0,Fourier_15=0; NumberOfConnectedComponents_1+=fabs(my_document_features[document_index1]->NumberOfConnectedComponents_1[0]-my_document_features[document_index2]->NumberOfConnectedComponents_1[0]); NumberOfHoles_1+=fabs(my_document_features[document_index1]->NumberOfHoles_1[0]-my_document_features[document_index2]->NumberOfHoles_1[0]); SpatialMoment00+=fabs(my_document_features[document_index1]->SpatialMoment00-my_document_features[document_index2]->SpatialMoment00); SpatialMoment10+=fabs(my_document_features[document_index1]->SpatialMoment10-my_document_features[document_index2]->SpatialMoment10); SpatialMoment20+=fabs(my_document_features[document_index1]->SpatialMoment20-my_document_features[document_index2]->SpatialMoment20); SpatialMoment30+=fabs(my_document_features[document_index1]->SpatialMoment30-my_document_features[document_index2]->SpatialMoment30); SpatialMoment01+=fabs(my_document_features[document_index1]->SpatialMoment01-my_document_features[document_index2]->SpatialMoment01); SpatialMoment11+=fabs(my_document_features[document_index1]->SpatialMoment11-my_document_features[document_index2]->SpatialMoment11); SpatialMoment21+=fabs(my_document_features[document_index1]->SpatialMoment21-my_document_features[document_index2]->SpatialMoment21); SpatialMoment02+=fabs(my_document_features[document_index1]->SpatialMoment02-my_document_features[document_index2]->SpatialMoment02); SpatialMoment12+=fabs(my_document_features[document_index1]->SpatialMoment12-my_document_features[document_index2]->SpatialMoment12); SpatialMoment03+=fabs(my_document_features[document_index1]->SpatialMoment03-my_document_features[document_index2]->SpatialMoment03); CentralMoment00+=fabs(my_document_features[document_index1]->CentralMoment00-my_document_features[document_index2]->CentralMoment00); CentralMoment10+=fabs(my_document_features[document_index1]->CentralMoment10-my_document_features[document_index2]->CentralMoment10); CentralMoment20+=fabs(my_document_features[document_index1]->CentralMoment20-my_document_features[document_index2]->CentralMoment20); CentralMoment30+=fabs(my_document_features[document_index1]->CentralMoment30-my_document_features[document_index2]->CentralMoment30); CentralMoment01+=fabs(my_document_features[document_index1]->CentralMoment01-my_document_features[document_index2]->CentralMoment01); CentralMoment11+=fabs(my_document_features[document_index1]->CentralMoment11-my_document_features[document_index2]->CentralMoment11); CentralMoment21+=fabs(my_document_features[document_index1]->CentralMoment21-my_document_features[document_index2]->CentralMoment21); CentralMoment02+=fabs(my_document_features[document_index1]->CentralMoment02-my_document_features[document_index2]->CentralMoment02); CentralMoment12+=fabs(my_document_features[document_index1]->CentralMoment12-my_document_features[document_index2]->CentralMoment12); CentralMoment03+=fabs(my_document_features[document_index1]->CentralMoment03-my_document_features[document_index2]->CentralMoment03); NormalizedCentralMoment00+=fabs(my_document_features[document_index1]->NormalizedCentralMoment00-my_document_features[document_index2]->NormalizedCentralMoment00); NormalizedCentralMoment10+=fabs(my_document_features[document_index1]->NormalizedCentralMoment10-my_document_features[document_index2]->NormalizedCentralMoment10); NormalizedCentralMoment20+=fabs(my_document_features[document_index1]->NormalizedCentralMoment20-my_document_features[document_index2]->NormalizedCentralMoment20); NormalizedCentralMoment30+=fabs(my_document_features[document_index1]->NormalizedCentralMoment30-my_document_features[document_index2]->NormalizedCentralMoment30); NormalizedCentralMoment01+=fabs(my_document_features[document_index1]->NormalizedCentralMoment01-my_document_features[document_index2]->NormalizedCentralMoment01); NormalizedCentralMoment11+=fabs(my_document_features[document_index1]->NormalizedCentralMoment11-my_document_features[document_index2]->NormalizedCentralMoment11); NormalizedCentralMoment21+=fabs(my_document_features[document_index1]->NormalizedCentralMoment21-my_document_features[document_index2]->NormalizedCentralMoment21); NormalizedCentralMoment02+=fabs(my_document_features[document_index1]->NormalizedCentralMoment02-my_document_features[document_index2]->NormalizedCentralMoment02); NormalizedCentralMoment12+=fabs(my_document_features[document_index1]->NormalizedCentralMoment12-my_document_features[document_index2]->NormalizedCentralMoment12); NormalizedCentralMoment03+=fabs(my_document_features[document_index1]->NormalizedCentralMoment03-my_document_features[document_index2]->NormalizedCentralMoment03); HuMoment1+=fabs(my_document_features[document_index1]->HuMoment1-my_document_features[document_index2]->HuMoment1); HuMoment2+=fabs(my_document_features[document_index1]->HuMoment2-my_document_features[document_index2]->HuMoment2); HuMoment3+=fabs(my_document_features[document_index1]->HuMoment3-my_document_features[document_index2]->HuMoment3); HuMoment4+=fabs(my_document_features[document_index1]->HuMoment4-my_document_features[document_index2]->HuMoment4); HuMoment5+=fabs(my_document_features[document_index1]->HuMoment5-my_document_features[document_index2]->HuMoment5); HuMoment6+=fabs(my_document_features[document_index1]->HuMoment6-my_document_features[document_index2]->HuMoment6); HuMoment7+=fabs(my_document_features[document_index1]->HuMoment7-my_document_features[document_index2]->HuMoment7); for(int x=0;x<10;x++) XProjectionHist10+=fabs(my_document_features[document_index1]->XProjectionHist10[x]-my_document_features[document_index2]->XProjectionHist10[x]); for(int x=0;x<10;x++) YProjectionHist10+=fabs(my_document_features[document_index1]->YProjectionHist10[x]-my_document_features[document_index2]->YProjectionHist10[x]); for(int x=0;x<10;x++) XFilledProjectionHist10+=fabs(my_document_features[document_index1]->XFilledProjectionHist10[x]-my_document_features[document_index2]->XFilledProjectionHist10[x]); for(int x=0;x<10;x++) YFilledProjectionHist10+=fabs(my_document_features[document_index1]->YFilledProjectionHist10[x]-my_document_features[document_index2]->YFilledProjectionHist10[x]); for(int x=0;x<10;x++) Distribution10x10_100+=fabs(my_document_features[document_index1]->Distribution10x10_100[x]-my_document_features[document_index2]->Distribution10x10_100[x]); for(int x=0;x<2;x++) Barycenter2+=fabs(my_document_features[document_index1]->Barycenter2[x]-my_document_features[document_index2]->Barycenter2[x]); numberOfPixels1+=fabs(my_document_features[document_index1]->numberOfPixels1[0]-my_document_features[document_index2]->numberOfPixels1[0]); for(int x=0;x<1;x++) Fourier_1+=fabs(my_document_features[document_index1]->Fourier_1[x]-my_document_features[document_index2]->Fourier_1[x]); for(int x=0;x<5;x++) Fourier_5+=fabs(my_document_features[document_index1]->Fourier_5[x]-my_document_features[document_index2]->Fourier_5[x]); for(int x=0;x<9;x++) Fourier_9+=fabs(my_document_features[document_index1]->Fourier_9[x]-my_document_features[document_index2]->Fourier_9[x]); for(int x=0;x<15;x++) Fourier_15+=fabs(my_document_features[document_index1]->Fourier_15[x]-my_document_features[document_index2]->Fourier_15[x]); nbbranches_1+=fabs(my_document_features[document_index1]->nbbranches_1[0]-my_document_features[document_index2]->nbbranches_1[0]); for(int x=0;x<10;x++) LengthsOfBranchesHist_10+=fabs(my_document_features[document_index1]->LengthsOfBranchesHist_10[x]-my_document_features[document_index2]->LengthsOfBranchesHist_10[x]); for(int x=0;x<30;x++) ThicknessLengthsCircleHist30+=fabs(my_document_features[document_index1]->ThicknessLengthsCircleHist30[x]-my_document_features[document_index2]->ThicknessLengthsCircleHist30[x]); for(int x=0;x<10;x++) tortuosityHist10+=fabs(my_document_features[document_index1]->tortuosityHist10[x]-my_document_features[document_index2]->tortuosityHist10[x]); for(int x=0;x<10;x++) tortuosityDirectionHist10+=fabs(my_document_features[document_index1]->tortuosityDirectionHist10[x]-my_document_features[document_index2]->tortuosityDirectionHist10[x]); for(int x=0;x<10;x++) tortuosityDerivateHist10+=fabs(my_document_features[document_index1]->tortuosityDerivateHist10[x]-my_document_features[document_index2]->tortuosityDerivateHist10[x]); for(int x=0;x<10;x++) tortuosityDerivateDirectionHist10+=fabs(my_document_features[document_index1]->tortuosityDerivateDirectionHist10[x]-my_document_features[document_index2]->tortuosityDerivateDirectionHist10[x]); for(int x=0;x<10;x++) DirectionPerpendicular5Hist10+=fabs(my_document_features[document_index1]->DirectionPerpendicular5Hist10[x]-my_document_features[document_index2]->DirectionPerpendicular5Hist10[x]); for(int x=0;x<100;x++) CurvaturePerpendicular5Hist100+=fabs(my_document_features[document_index1]->CurvaturePerpendicular5Hist100[x]-my_document_features[document_index2]->CurvaturePerpendicular5Hist100[x]); for(int x=0;x<256;x++) luminanceHist256+=fabs(my_document_features[document_index1]->luminanceHist256[x]-my_document_features[document_index2]->luminanceHist256[x]); for(int x=0;x<100;x++) CurvatureAli5Hist100+=fabs(my_document_features[document_index1]->CurvatureAli5Hist100[x]-my_document_features[document_index2]->CurvatureAli5Hist100[x]); for(int x=0;x<100;x++) CurvaturesDerivateAli5Hist100+=fabs(my_document_features[document_index1]->CurvaturesDerivateAli5Hist100[x]-my_document_features[document_index2]->CurvaturesDerivateAli5Hist100[x]); for(int x=0;x<100;x++) CurvatureAli10Hist100+=fabs(my_document_features[document_index1]->CurvatureAli10Hist100[x]-my_document_features[document_index2]->CurvatureAli10Hist100[x]); for(int x=0;x<100;x++) CurvaturesDerivateAli10Hist100+=fabs(my_document_features[document_index1]->CurvaturesDerivateAli10Hist100[x]-my_document_features[document_index2]->CurvaturesDerivateAli10Hist100[x]); for(int x=0;x<100;x++) CurvatureAli15Hist100+=fabs(my_document_features[document_index1]->CurvatureAli15Hist100[x]-my_document_features[document_index2]->CurvatureAli15Hist100[x]); for(int x=0;x<100;x++) CurvaturesDerivateAli15Hist100+=fabs(my_document_features[document_index1]->CurvaturesDerivateAli15Hist100[x]-my_document_features[document_index2]->CurvaturesDerivateAli15Hist100[x]); for(int x=0;x<100;x++) CurvatureAli20Hist100+=fabs(my_document_features[document_index1]->CurvatureAli20Hist100[x]-my_document_features[document_index2]->CurvatureAli20Hist100[x]); for(int x=0;x<100;x++) CurvaturesDerivateAli20Hist100+=fabs(my_document_features[document_index1]->CurvaturesDerivateAli20Hist100[x]-my_document_features[document_index2]->CurvaturesDerivateAli20Hist100[x]); for(int x=0;x<4;x++) chaincodeHist_4+=fabs(my_document_features[document_index1]->chaincodeHist_4[x]-my_document_features[document_index2]->chaincodeHist_4[x]); for(int x=0;x<8;x++) chaincodeHist_8+=fabs(my_document_features[document_index1]->chaincodeHist_8[x]-my_document_features[document_index2]->chaincodeHist_8[x]); for(int x=0;x<64;x++) chaincode8order2_64+=fabs(my_document_features[document_index1]->chaincode8order2_64[x]-my_document_features[document_index2]->chaincode8order2_64[x]); for(int x=0;x<16;x++) chaincode4order2_16+=fabs(my_document_features[document_index1]->chaincode4order2_16[x]-my_document_features[document_index2]->chaincode4order2_16[x]); for(int x=0;x<64;x++) chaincode4order3_64+=fabs(my_document_features[document_index1]->chaincode4order3_64[x]-my_document_features[document_index2]->chaincode4order3_64[x]); for(int x=0;x<512;x++) chaincode8order3_512+=fabs(my_document_features[document_index1]->chaincode8order3_512[x]-my_document_features[document_index2]->chaincode8order3_512[x]); for(int x=0;x<256;x++) chaincode4order4_256+=fabs(my_document_features[document_index1]->chaincode4order4_256[x]-my_document_features[document_index2]->chaincode4order4_256[x]); for(int x=0;x<4096;x++) chaincode8order4_4096+=fabs(my_document_features[document_index1]->chaincode8order4_4096[x]-my_document_features[document_index2]->chaincode8order4_4096[x]); if(my_document_features[document_index1]->writer_id==my_document_features[document_index2]->writer_id)differences<<""1,""; else differences<<""0,""; differences<<NumberOfConnectedComponents_1<<"",""<<NumberOfHoles_1<<"",""<<SpatialMoment00<<"",""<<SpatialMoment10<<"",""<<SpatialMoment20<<"",""<<SpatialMoment30<<"",""<<SpatialMoment01<<"",""<<SpatialMoment11<<"",""<<SpatialMoment21<<"",""<<SpatialMoment02<<"",""<<SpatialMoment12<<"",""<<SpatialMoment03<<"",""<<CentralMoment00<<"",""<<CentralMoment10<<"",""<<CentralMoment20<<"",""<<CentralMoment30<<"",""<<CentralMoment01<<"",""<<CentralMoment11<<"",""<<CentralMoment21<<"",""<<CentralMoment02<<"",""<<CentralMoment12<<"",""<<CentralMoment03<<"",""<<NormalizedCentralMoment00<<"",""<<NormalizedCentralMoment10<<"",""<<NormalizedCentralMoment20<<"",""<<NormalizedCentralMoment30<<"",""<<NormalizedCentralMoment01<<"",""<<NormalizedCentralMoment11<<"",""<<NormalizedCentralMoment21<<"",""<<NormalizedCentralMoment02<<"",""<<NormalizedCentralMoment12<<"",""<<NormalizedCentralMoment03<<"",""<<HuMoment1<<"",""<<HuMoment2<<"",""<<HuMoment3<<"",""<<HuMoment4<<"",""<<HuMoment5<<"",""<<HuMoment6<<"",""<<HuMoment7<<"",""<<XProjectionHist10<<"",""<<YProjectionHist10<<"",""<<XFilledProjectionHist10<<"",""<<YFilledProjectionHist10<<"",""<<Distribution10x10_100<<"",""<<Barycenter2<<"",""<<numberOfPixels1<<"",""<<Fourier_1<<"",""<<Fourier_5<<"",""<<Fourier_9<<"",""<<Fourier_15<<"",""<<nbbranches_1<<"",""<<LengthsOfBranchesHist_10<<"",""<<ThicknessLengthsCircleHist30<<"",""<<tortuosityHist10<<"",""<<tortuosityDirectionHist10<<"",""<<tortuosityDerivateHist10<<"",""<<tortuosityDerivateDirectionHist10<<"",""<<DirectionPerpendicular5Hist10<<"",""<<CurvaturePerpendicular5Hist100<<"",""<<luminanceHist256<<"",""<<CurvatureAli5Hist100<<"",""<<CurvaturesDerivateAli5Hist100<<"",""<<CurvatureAli10Hist100<<"",""<<CurvaturesDerivateAli10Hist100<<"",""<<CurvatureAli15Hist100<<"",""<<CurvaturesDerivateAli15Hist100<<"",""<<CurvatureAli20Hist100<<"",""<<CurvaturesDerivateAli20Hist100<<"",""<<chaincodeHist_4<<"",""<<chaincodeHist_8<<"",""<<chaincode8order2_64<<"",""<<chaincode4order2_16<<"",""<<chaincode4order3_64<<"",""<<chaincode8order3_512<<"",""<<chaincode4order4_256<<"",""<<chaincode8order4_4096<<""\n""; } differences.close(); //You might use the obtained ""train_differences.csv"" file to build your model //I used here the model trained using a logistic regression classifier after keeping the 5 most discriminant features : //double linear=(-10.667528249636) + -0.0667090106640684 * NumberOfConnectedComponents_1 +9.34910163750235 * ThicknessLengthsCircleHist30 + 30.4471654988069 *CurvaturePerpendicular5Hist100 + 30.5600351874986 * luminanceHist256 +33.6853635484793 * chaincode8order3_512; //double prob_same_writer=1. / (1. + exp(linear)); //reading the testing documents std::ifstream test_data(""test.csv""); linenum=0; document_features**my_questioned_document_features=new document_features*[53]; while (getline (test_data, line)) { cout << ""\nLine #"" << linenum << "":"" << endl; istringstream linestream(line); if(linenum>0) { int row_index=linenum-1; my_questioned_document_features[row_index]=new document_features(); getline (linestream, item, ','); //my_questioned_document_features[row_index]->writer_id=atoi(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NumberOfConnectedComponents_1[0]=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NumberOfHoles_1[0]=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment00=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment10=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment20=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment30=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment01=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment11=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment21=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment02=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment12=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->SpatialMoment03=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment00=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment10=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment20=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment30=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment01=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment11=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment21=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment02=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment12=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->CentralMoment03=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment00=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment10=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment20=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment30=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment01=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment11=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment21=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment02=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment12=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->NormalizedCentralMoment03=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->HuMoment1=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->HuMoment2=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->HuMoment3=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->HuMoment4=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->HuMoment5=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->HuMoment6=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->HuMoment7=atof(item.c_str()); for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->XProjectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->YProjectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->XFilledProjectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->YFilledProjectionHist10[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->Distribution10x10_100[x]=atof(item.c_str()); } getline (linestream, item, ','); my_questioned_document_features[row_index]->Barycenter2[0]=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->Barycenter2[1]=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->numberOfPixels1[0]=atof(item.c_str()); getline (linestream, item, ','); my_questioned_document_features[row_index]->Fourier_1[0]=atof(item.c_str()); for(int x=0;x<5;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->Fourier_5[x]=atof(item.c_str()); } for(int x=0;x<9;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->Fourier_9[x]=atof(item.c_str()); } for(int x=0;x<15;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->Fourier_15[x]=atof(item.c_str()); } getline (linestream, item, ','); my_questioned_document_features[row_index]->nbbranches_1[0]=atof(item.c_str()); for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->LengthsOfBranchesHist_10[x]=atof(item.c_str()); } for(int x=0;x<30;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->ThicknessLengthsCircleHist30[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->tortuosityHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->tortuosityDirectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->tortuosityDerivateHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->tortuosityDerivateDirectionHist10[x]=atof(item.c_str()); } for(int x=0;x<10;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->DirectionPerpendicular5Hist10[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvaturePerpendicular5Hist100[x]=atof(item.c_str()); } for(int x=0;x<256;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->luminanceHist256[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvatureAli5Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvaturesDerivateAli5Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvatureAli10Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvaturesDerivateAli10Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvatureAli15Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvaturesDerivateAli15Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvatureAli20Hist100[x]=atof(item.c_str()); } for(int x=0;x<100;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->CurvaturesDerivateAli20Hist100[x]=atof(item.c_str()); } for(int x=0;x<4;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->chaincodeHist_4[x]=atof(item.c_str()); } for(int x=0;x<8;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->chaincodeHist_8[x]=atof(item.c_str()); } for(int x=0;x<64;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->chaincode8order2_64[x]=atof(item.c_str()); } for(int x=0;x<16;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->chaincode4order2_16[x]=atof(item.c_str()); } for(int x=0;x<64;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->chaincode4order3_64[x]=atof(item.c_str()); } for(int x=0;x<512;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->chaincode8order3_512[x]=atof(item.c_str()); } for(int x=0;x<256;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->chaincode4order4_256[x]=atof(item.c_str()); } for(int x=0;x<4096;x++) { getline (linestream, item, ','); my_questioned_document_features[row_index]->chaincode8order4_4096[x]=atof(item.c_str()); } } linenum++; } //comparing all the documents of the test set with all the documents of the training set for(int document_index1=0;document_index1<53;document_index1++) { double maxprob=0; for(int document_index2=0;document_index2<108;document_index2++) { double NumberOfConnectedComponents_1=0,NumberOfHoles_1=0,SpatialMoment00=0,SpatialMoment10=0,SpatialMoment20=0,SpatialMoment30=0,SpatialMoment01=0,SpatialMoment11=0,SpatialMoment21=0,SpatialMoment02=0,SpatialMoment12=0,SpatialMoment03=0,CentralMoment00=0,CentralMoment10=0,CentralMoment20=0,CentralMoment30=0,CentralMoment01=0,CentralMoment11=0,CentralMoment21=0,CentralMoment02=0,CentralMoment12=0,CentralMoment03=0,NormalizedCentralMoment00=0,NormalizedCentralMoment10=0,NormalizedCentralMoment20=0,NormalizedCentralMoment30=0,NormalizedCentralMoment01=0,NormalizedCentralMoment11=0,NormalizedCentralMoment21=0,NormalizedCentralMoment02=0,NormalizedCentralMoment12=0,NormalizedCentralMoment03=0,HuMoment1=0,HuMoment2=0,HuMoment3=0,HuMoment4=0,HuMoment5=0,HuMoment6=0,HuMoment7=0,ThicknessLengthsCircleHist30=0,XProjectionHist10=0,YProjectionHist10=0,Distribution10x10_100=0,tortuosityHist10=0,tortuosityDirectionHist10=0,tortuosityDerivateHist10=0,tortuosityDerivateDirectionHist10=0,nbbranches_1=0,LengthsOfBranchesHist_10=0,numberOfPixels1=0,XFilledProjectionHist10=0,YFilledProjectionHist10=0,Barycenter2=0,DirectionPerpendicular5Hist10=0,CurvaturePerpendicular5Hist100=0,luminanceHist256=0,CurvatureAli5Hist100=0,CurvaturesDerivateAli5Hist100=0,CurvatureAli10Hist100=0,CurvaturesDerivateAli10Hist100=0,CurvatureAli15Hist100=0,CurvaturesDerivateAli15Hist100=0,CurvatureAli20Hist100=0,CurvaturesDerivateAli20Hist100=0,chaincodeHist_4=0,chaincodeHist_8=0,chaincode8order2_64=0,chaincode4order2_16=0,chaincode4order3_64=0,chaincode8order3_512=0,chaincode4order4_256=0,chaincode8order4_4096=0,Fourier_1=0,Fourier_5=0,Fourier_9=0,Fourier_15=0; NumberOfConnectedComponents_1+=fabs(my_questioned_document_features[document_index1]->NumberOfConnectedComponents_1[0]-my_document_features[document_index2]->NumberOfConnectedComponents_1[0]); NumberOfHoles_1+=fabs(my_questioned_document_features[document_index1]->NumberOfHoles_1[0]-my_document_features[document_index2]->NumberOfHoles_1[0]); SpatialMoment00+=fabs(my_questioned_document_features[document_index1]->SpatialMoment00-my_document_features[document_index2]->SpatialMoment00); SpatialMoment10+=fabs(my_questioned_document_features[document_index1]->SpatialMoment10-my_document_features[document_index2]->SpatialMoment10); SpatialMoment20+=fabs(my_questioned_document_features[document_index1]->SpatialMoment20-my_document_features[document_index2]->SpatialMoment20); SpatialMoment30+=fabs(my_questioned_document_features[document_index1]->SpatialMoment30-my_document_features[document_index2]->SpatialMoment30); SpatialMoment01+=fabs(my_questioned_document_features[document_index1]->SpatialMoment01-my_document_features[document_index2]->SpatialMoment01); SpatialMoment11+=fabs(my_questioned_document_features[document_index1]->SpatialMoment11-my_document_features[document_index2]->SpatialMoment11); SpatialMoment21+=fabs(my_questioned_document_features[document_index1]->SpatialMoment21-my_document_features[document_index2]->SpatialMoment21); SpatialMoment02+=fabs(my_questioned_document_features[document_index1]->SpatialMoment02-my_document_features[document_index2]->SpatialMoment02); SpatialMoment12+=fabs(my_questioned_document_features[document_index1]->SpatialMoment12-my_document_features[document_index2]->SpatialMoment12); SpatialMoment03+=fabs(my_questioned_document_features[document_index1]->SpatialMoment03-my_document_features[document_index2]->SpatialMoment03); CentralMoment00+=fabs(my_questioned_document_features[document_index1]->CentralMoment00-my_document_features[document_index2]->CentralMoment00); CentralMoment10+=fabs(my_questioned_document_features[document_index1]->CentralMoment10-my_document_features[document_index2]->CentralMoment10); CentralMoment20+=fabs(my_questioned_document_features[document_index1]->CentralMoment20-my_document_features[document_index2]->CentralMoment20); CentralMoment30+=fabs(my_questioned_document_features[document_index1]->CentralMoment30-my_document_features[document_index2]->CentralMoment30); CentralMoment01+=fabs(my_questioned_document_features[document_index1]->CentralMoment01-my_document_features[document_index2]->CentralMoment01); CentralMoment11+=fabs(my_questioned_document_features[document_index1]->CentralMoment11-my_document_features[document_index2]->CentralMoment11); CentralMoment21+=fabs(my_questioned_document_features[document_index1]->CentralMoment21-my_document_features[document_index2]->CentralMoment21); CentralMoment02+=fabs(my_questioned_document_features[document_index1]->CentralMoment02-my_document_features[document_index2]->CentralMoment02); CentralMoment12+=fabs(my_questioned_document_features[document_index1]->CentralMoment12-my_document_features[document_index2]->CentralMoment12); CentralMoment03+=fabs(my_questioned_document_features[document_index1]->CentralMoment03-my_document_features[document_index2]->CentralMoment03); NormalizedCentralMoment00+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment00-my_document_features[document_index2]->NormalizedCentralMoment00); NormalizedCentralMoment10+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment10-my_document_features[document_index2]->NormalizedCentralMoment10); NormalizedCentralMoment20+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment20-my_document_features[document_index2]->NormalizedCentralMoment20); NormalizedCentralMoment30+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment30-my_document_features[document_index2]->NormalizedCentralMoment30); NormalizedCentralMoment01+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment01-my_document_features[document_index2]->NormalizedCentralMoment01); NormalizedCentralMoment11+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment11-my_document_features[document_index2]->NormalizedCentralMoment11); NormalizedCentralMoment21+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment21-my_document_features[document_index2]->NormalizedCentralMoment21); NormalizedCentralMoment02+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment02-my_document_features[document_index2]->NormalizedCentralMoment02); NormalizedCentralMoment12+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment12-my_document_features[document_index2]->NormalizedCentralMoment12); NormalizedCentralMoment03+=fabs(my_questioned_document_features[document_index1]->NormalizedCentralMoment03-my_document_features[document_index2]->NormalizedCentralMoment03); HuMoment1+=fabs(my_questioned_document_features[document_index1]->HuMoment1-my_document_features[document_index2]->HuMoment1); HuMoment2+=fabs(my_questioned_document_features[document_index1]->HuMoment2-my_document_features[document_index2]->HuMoment2); HuMoment3+=fabs(my_questioned_document_features[document_index1]->HuMoment3-my_document_features[document_index2]->HuMoment3); HuMoment4+=fabs(my_questioned_document_features[document_index1]->HuMoment4-my_document_features[document_index2]->HuMoment4); HuMoment5+=fabs(my_questioned_document_features[document_index1]->HuMoment5-my_document_features[document_index2]->HuMoment5); HuMoment6+=fabs(my_questioned_document_features[document_index1]->HuMoment6-my_document_features[document_index2]->HuMoment6); HuMoment7+=fabs(my_questioned_document_features[document_index1]->HuMoment7-my_document_features[document_index2]->HuMoment7); for(int x=0;x<10;x++) XProjectionHist10+=fabs(my_questioned_document_features[document_index1]->XProjectionHist10[x]-my_document_features[document_index2]->XProjectionHist10[x]); for(int x=0;x<10;x++) YProjectionHist10+=fabs(my_questioned_document_features[document_index1]->YProjectionHist10[x]-my_document_features[document_index2]->YProjectionHist10[x]); for(int x=0;x<10;x++) XFilledProjectionHist10+=fabs(my_questioned_document_features[document_index1]->XFilledProjectionHist10[x]-my_document_features[document_index2]->XFilledProjectionHist10[x]); for(int x=0;x<10;x++) YFilledProjectionHist10+=fabs(my_questioned_document_features[document_index1]->YFilledProjectionHist10[x]-my_document_features[document_index2]->YFilledProjectionHist10[x]); for(int x=0;x<10;x++) Distribution10x10_100+=fabs(my_questioned_document_features[document_index1]->Distribution10x10_100[x]-my_document_features[document_index2]->Distribution10x10_100[x]); for(int x=0;x<2;x++) Barycenter2+=fabs(my_questioned_document_features[document_index1]->Barycenter2[x]-my_document_features[document_index2]->Barycenter2[x]); numberOfPixels1+=fabs(my_questioned_document_features[document_index1]->numberOfPixels1[0]-my_document_features[document_index2]->numberOfPixels1[0]); for(int x=0;x<1;x++) Fourier_1+=fabs(my_questioned_document_features[document_index1]->Fourier_1[x]-my_document_features[document_index2]->Fourier_1[x]); for(int x=0;x<5;x++) Fourier_5+=fabs(my_questioned_document_features[document_index1]->Fourier_5[x]-my_document_features[document_index2]->Fourier_5[x]); for(int x=0;x<9;x++) Fourier_9+=fabs(my_questioned_document_features[document_index1]->Fourier_9[x]-my_document_features[document_index2]->Fourier_9[x]); for(int x=0;x<15;x++) Fourier_15+=fabs(my_questioned_document_features[document_index1]->Fourier_15[x]-my_document_features[document_index2]->Fourier_15[x]); nbbranches_1+=fabs(my_questioned_document_features[document_index1]->nbbranches_1[0]-my_document_features[document_index2]->nbbranches_1[0]); for(int x=0;x<10;x++) LengthsOfBranchesHist_10+=fabs(my_questioned_document_features[document_index1]->LengthsOfBranchesHist_10[x]-my_document_features[document_index2]->LengthsOfBranchesHist_10[x]); for(int x=0;x<30;x++) ThicknessLengthsCircleHist30+=fabs(my_questioned_document_features[document_index1]->ThicknessLengthsCircleHist30[x]-my_document_features[document_index2]->ThicknessLengthsCircleHist30[x]); for(int x=0;x<10;x++) tortuosityHist10+=fabs(my_questioned_document_features[document_index1]->tortuosityHist10[x]-my_document_features[document_index2]->tortuosityHist10[x]); for(int x=0;x<10;x++) tortuosityDirectionHist10+=fabs(my_questioned_document_features[document_index1]->tortuosityDirectionHist10[x]-my_document_features[document_index2]->tortuosityDirectionHist10[x]); for(int x=0;x<10;x++) tortuosityDerivateHist10+=fabs(my_questioned_document_features[document_index1]->tortuosityDerivateHist10[x]-my_document_features[document_index2]->tortuosityDerivateHist10[x]); for(int x=0;x<10;x++) tortuosityDerivateDirectionHist10+=fabs(my_questioned_document_features[document_index1]->tortuosityDerivateDirectionHist10[x]-my_document_features[document_index2]->tortuosityDerivateDirectionHist10[x]); for(int x=0;x<10;x++) DirectionPerpendicular5Hist10+=fabs(my_questioned_document_features[document_index1]->DirectionPerpendicular5Hist10[x]-my_document_features[document_index2]->DirectionPerpendicular5Hist10[x]); for(int x=0;x<100;x++) CurvaturePerpendicular5Hist100+=fabs(my_questioned_document_features[document_index1]->CurvaturePerpendicular5Hist100[x]-my_document_features[document_index2]->CurvaturePerpendicular5Hist100[x]); for(int x=0;x<256;x++) luminanceHist256+=fabs(my_questioned_document_features[document_index1]->luminanceHist256[x]-my_document_features[document_index2]->luminanceHist256[x]); for(int x=0;x<100;x++) CurvatureAli5Hist100+=fabs(my_questioned_document_features[document_index1]->CurvatureAli5Hist100[x]-my_document_features[document_index2]->CurvatureAli5Hist100[x]); for(int x=0;x<100;x++) CurvaturesDerivateAli5Hist100+=fabs(my_questioned_document_features[document_index1]->CurvaturesDerivateAli5Hist100[x]-my_document_features[document_index2]->CurvaturesDerivateAli5Hist100[x]); for(int x=0;x<100;x++) CurvatureAli10Hist100+=fabs(my_questioned_document_features[document_index1]->CurvatureAli10Hist100[x]-my_document_features[document_index2]->CurvatureAli10Hist100[x]); for(int x=0;x<100;x++) CurvaturesDerivateAli10Hist100+=fabs(my_questioned_document_features[document_index1]->CurvaturesDerivateAli10Hist100[x]-my_document_features[document_index2]->CurvaturesDerivateAli10Hist100[x]); for(int x=0;x<100;x++) CurvatureAli15Hist100+=fabs(my_questioned_document_features[document_index1]->CurvatureAli15Hist100[x]-my_document_features[document_index2]->CurvatureAli15Hist100[x]); for(int x=0;x<100;x++) CurvaturesDerivateAli15Hist100+=fabs(my_questioned_document_features[document_index1]->CurvaturesDerivateAli15Hist100[x]-my_document_features[document_index2]->CurvaturesDerivateAli15Hist100[x]); for(int x=0;x<100;x++) CurvatureAli20Hist100+=fabs(my_questioned_document_features[document_index1]->CurvatureAli20Hist100[x]-my_document_features[document_index2]->CurvatureAli20Hist100[x]); for(int x=0;x<100;x++) CurvaturesDerivateAli20Hist100+=fabs(my_questioned_document_features[document_index1]->CurvaturesDerivateAli20Hist100[x]-my_document_features[document_index2]->CurvaturesDerivateAli20Hist100[x]); for(int x=0;x<4;x++) chaincodeHist_4+=fabs(my_questioned_document_features[document_index1]->chaincodeHist_4[x]-my_document_features[document_index2]->chaincodeHist_4[x]); for(int x=0;x<8;x++) chaincodeHist_8+=fabs(my_questioned_document_features[document_index1]->chaincodeHist_8[x]-my_document_features[document_index2]->chaincodeHist_8[x]); for(int x=0;x<64;x++) chaincode8order2_64+=fabs(my_questioned_document_features[document_index1]->chaincode8order2_64[x]-my_document_features[document_index2]->chaincode8order2_64[x]); for(int x=0;x<16;x++) chaincode4order2_16+=fabs(my_questioned_document_features[document_index1]->chaincode4order2_16[x]-my_document_features[document_index2]->chaincode4order2_16[x]); for(int x=0;x<64;x++) chaincode4order3_64+=fabs(my_questioned_document_features[document_index1]->chaincode4order3_64[x]-my_document_features[document_index2]->chaincode4order3_64[x]); for(int x=0;x<512;x++) chaincode8order3_512+=fabs(my_questioned_document_features[document_index1]->chaincode8order3_512[x]-my_document_features[document_index2]->chaincode8order3_512[x]); for(int x=0;x<256;x++) chaincode4order4_256+=fabs(my_questioned_document_features[document_index1]->chaincode4order4_256[x]-my_document_features[document_index2]->chaincode4order4_256[x]); for(int x=0;x<4096;x++) chaincode8order4_4096+=fabs(my_questioned_document_features[document_index1]->chaincode8order4_4096[x]-my_document_features[document_index2]->chaincode8order4_4096[x]); //using the model previously built double linear=(-10.667528249636) + -0.0667090106640684 * NumberOfConnectedComponents_1 +9.34910163750235 * ThicknessLengthsCircleHist30 + 30.4471654988069 *CurvaturePerpendicular5Hist100 + 30.5600351874986 * luminanceHist256 +33.6853635484793 * chaincode8order3_512; double prob_same_writer=1. / (1. + exp(linear)); //the most probable writer if(prob_same_writer>maxprob) { maxprob=prob_same_writer; my_questioned_document_features[document_index1]->writer_id=my_document_features[document_index2]->writer_id; } } } //creating the file to submit //this benchmark does not provide a way of detecting unknown writers std::ofstream submission_file(""new_benchmark.csv""); submission_file<<"",031,034,035,036,037,038,039,041,042,046,047,048,049,050,051,052,053,054,055,056,057,058,059,060,061,062,063,064,065,066,067,068,069,070,071,072,073,074,077,078,080,081,082,083,084,087,088,090,091,092,093,095,096,unknown\n""; int writers[]={31,34,35,36,37,38,39,41,42,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,77,78,80,81,82,83,84,87,88,90,91,92,93,95,96}; string questioned_writers[]={""AA"",""AB"",""AC"",""AD"",""AE"",""AF"",""AG"",""AH"",""AI"",""AJ"",""AK"",""AM"",""AN"",""AO"",""AP"",""AQ"",""AR"",""AS"",""AT"",""AU"",""AV"",""AW"",""AX"",""AY"",""AZ"",""BA"",""BB"",""BC"",""BD"",""BE"",""BF"",""BG"",""BH"",""BI"",""BK"",""BL"",""BM"",""BN"",""BO"",""BP"",""BQ"",""BR"",""BS"",""BT"",""BU"",""BV"",""BW"",""BX"",""BY"",""BZ"",""CA"",""CB"",""CC""}; for(int document_index1=0;document_index1<53;document_index1++) { submission_file<<questioned_writers[document_index1]; bool at_least_one=false; for(int writer_index=0;writer_index<53;writer_index++) { if(my_questioned_document_features[document_index1]->writer_id==writers[writer_index]) { at_least_one=true; submission_file<<"",1""; } else submission_file<<"",0""; } //unknown writer if(at_least_one)submission_file<<"",0\n""; else submission_file<<"",1\n""; } submission_file.close(); std::cout<<""Press a key to exit...""; _getch();}",0,None,2 ,Sun Mar 13 2011 18:45:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/333,/competitions/WIC2011,7th
/wcukierski,Luck,"With St. Patrick's day coming up, I thought it might be interesting to bring up the topic of luck. How much of this contest will be determined by luck?In my testing so far, I've seen two effects which cause a disparity in the training and test scores. The first is overfitting. The second is the unpredictable ""randomness"" of a method when trained on a small sample.Even a robust method will have variable performance when trained to small sample size. Some data points are highly representative of their class and easy to classify, some are close to the margin and therefore harder. However, different methods value training points in different ways. One classifier may work well when trained with atypical points, while another might become completely unstable and useless.In this contest, we are given the first 250 points for training, with no choice but to use these points. I've run a few cross-validation experiments with target_practice to see just how much the AUC changes when presenting the same algorithms with different subsets of the data. The variance is large, sometimes large enough to be the difference between 1st and 20th on the leaderboard. This effect is very hard to predict and not addressed by the usual measures to prevent overfitting.In short, the fewer points you select to train on, the more variable the underlying ""quality"" of these points for training will be. (You can convince yourself of this by considering the limiting case where one randomly draws only members of one class for training, in which case it doesn't matter what you do to prevent overfitting.)So, will the determining factor of this contest be algorithm(s) that perform well using the 250 sample points, or the algorithm(s) that best guard against overfitting? If you have thoughts, chime in below.",0,None,4 ,Wed Mar 16 2011 20:01:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/335,/competitions/overfitting,5th
/dalewong,Newbie question about ROC and AUC,"Sorry to bother you guys with a basic question, but I'm new to statistical algorithms. I've done a lot of algorithmic coding, but never in this field.I'm confused about how you generate an ROC curve and its AUC from the submitted solution. My limited understanding (gleaned only from Wikipedia) is that a single solution, consisting of the classification of 19750 cases, would yield a single point in the ROC space. My impression is that a curve is generated by varying some threshold parameter (that trades off false-positives versus false-negatives) and generating multiple solutions. But for this contest, we are only submitting a single solution, so I'm confused.I have seen examples online where the classifier returns a probability (rather than a class), and this is used as the threshold parameter to generate a curve. But the solutions for this contest are supposed to be binary 0 or 1, correct?As a follow up question, is there some industry standard open source program that calculates the ROC curve and its AUC?Thank you in advance for helping me understand this basic issue.",0,None,4 ,Sun Mar 20 2011 20:59:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/336,/competitions/overfitting,None
/jeffsonas,Documentation of Methodology (Glicko),"I have been meaning to post an example of a well-documented chess rating methodology, so that people can understand what I would like to see from prizewinners at the end when it is time to reveal your methodology. I finally found a little time to assemble the documentation for one such system (I chose Glicko), and hopefully I will be able to do this for others as well (my next two targets will be Elo and Chessmetrics).There is clearly great value if these research efforts can be repeatable, and since we are all using different technologies or different ways to write up our methodology, it can be very challenging to take someone else's work and try to repeat it. How do you know if you got it right? One obvious approach is to have a common set of sample data, and for the documentation of methodology to include output files that result from running the code against the sample data. It is not necessary for this to be a huge amount of sample data, just enough to exercise the system a bit. And enough that someone else can feel confident they implemented the system correctly if they get the same output data at the end. So I picked twelve top grandmasters from the 1990's, and pulled five years' worth of games among just those twelve players (from Chessbase historical game databases), to constitute the training data (852 games). And I also picked the next five months' worth of games among those twelve players to be the test data (69 games total). There is also a list of initial ratings, and player names, and the solution set (telling you the results from the test set). These five files, along with a readme file, are included in the attached file ""sample_datasets.zip"". My intention is that this can constitute useful example data that people can utilize during the documentation of their system, both for explaining detailed examples and also by providing output files. It certainly is not a large enough dataset to drive any conclusions about predictive power, but of course that is not the point here.A fully documented chess rating methodology would include a prose description of the algorithm, along with any necessary references, accompanied by code that implements the methodology. It should also contain the sample data, and the values of any system constants, and the output files that you get from running the code against the sample data. I have done all this for Glicko, and it is included in the attached file ""glicko_documentation.zip"". I implemented it in Microsoft SQL Server, so my code consists of database SQL scripts, but if I had done it in some other technology, my code would be C# files or R scripts or whatever. I suppose that if different people implement the same system in different technologies, we could add the code to the zip files; that would be a very useful resource!So anyway, I hope this helps. If you are eligible to win a prize and need to document your system in order to receive the prize, this is the kind of documentation I would like to see. Please note that these writeups will be made publicly available. And in fact I would love to see documentation from anyone's system, not just for the prizewinners. I understand that people may be reluctant to post their methodology while the contest is running, but you might be surprised at how it can benefit you to have others comment on your approach, and I hope many of you will at least post your methodology after the contest is complete. Documentation should include a single zip file consisting of:(1) A PDF file containing a prose description of your methodology, although you can just refer to the references where appropriate.(2) A folder named ""references"" that includes any papers, writeups, URL's, etc. that you used within your methodology(3) A folder named ""sample_datasets"" that includes the standard set of sample datafiles (this should always be the same)(4) A folder named ""implementation"" that includes your distributable source code(5) A folder named ""sample_output"" that includes any log files and final output files that result from running your methodology against the sample dataset(6) Note that each of those four folders should include a readme text file that describes the contents of the folder.",0,None,2 ,Tue Mar 22 2011 02:06:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/337,/competitions/ChessRatings2,None
/jeffsonas,Article #1 about FIDE ratings,"I recently wrote Part 1 in a series of articles about the FIDE Elo rating system. Here it is in PDF format. There is some overlap in the graphs with the contest dataset, but the graphs only reflect aggregate data and don't give anything away. You might have noticed in my writeup about the benchmarks, how I often needed to apply a ""compression factor"" to the rating differences when making predictions, in order to get better accuracy. This only proved unnecessary for Glicko and Chessmetrics, but was always necessary for Elo ratings. The article provides a graphical illustration of this problem. There is also discussion about whether the proper relationship between rating difference and expected score should be a linear model or a logistic model.",0,None,3 ,Tue Mar 22 2011 06:42:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/338,/competitions/ChessRatings2,None
/jeffsonas,Anyone trying for the FIDE prize?,"Hi everyone, I would really like to get a sense for whether people are trying to win the FIDE prize. The only way for me to know this, is if you tell me, either publicly on this forum or in a message to me. Since there are ten spots available, and the winner among those ten will be based on FIDE reviewing people's writeups about their system (rather than just who was slightly more accurate than others), I don't think the competition for the FIDE prize needs to be particularly cutthroat. But of course it is up to you to decide how much to reveal. Another point is that you might wish to verify whether your approach does indeed meet the conditions for the prize, in time for you to correct any violations. Ideally I would like to know your best score so far among entries that seem to be eligible for the FIDE prize, along with how many rating parameters you are maintaining for each player (maximum is ten), and maybe a brief phrase describing your approach, such as ""Elo with more parameters"" or ""variation of Glicko"" or ""novel approach"". Even if you are not planning to compete for the FIDE prize, I would love to know that as well. Basically as much, or as little, as you are willing to share about your participation in the FIDE prize category, would be great. Thanks!",0,None,24 ,Tue Mar 22 2011 08:57:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/339,/competitions/ChessRatings2,None
/imannavidi,My Analysis,"This is the result which I got from trying different approaches.At first I worked with Glicko model. As I read ""Mark Glikman"" Ph.D Thesis and papers, its based on Normal Distribution with different standard deviations.Using my implementation I got about 0.26 score (only with primary dataset and without white advantage score). After this I tried to build a model based on Normal Distribution but with same std dev. without optimizing parameters, i got 0.275 score. (I think even with optimization, the best score might be 0.27).In this two models, I tried to find the chaos. based on my idea, a game between two players is chaos IF(prediction - 0.5) * (result-0.5) < 0.For example if a game prediction is 0.7 (more than 0.5) but the game result is 0.2(less than 0.5) its considered as a chaos game.Based on this definition, there were about 20k chaos games (out of 105k) in Glicko model and 21k chaos games in Normal with constant std dev model.As you might know, the chaos games would set loss score more than 0.30103. So I decided to use another approach which is more uncertain about the result.In this way, I used trapezoidal distribution. and what I got were extremely conservative results. and even number of chaos games did not fall.So I think using any model will probably have about 20% chaos.And another approach which I'm currently working on, is using extreme value distribution (or semi Pareto distributions). because I think we should define the ""Skill"" again. in semi normal distributions, we supposed that a player can play higher than his skill, and I think this is not true for chess Skill. because in other sports you can use doping to gain more power, but is there any stuff which gives you more brain power? In this way I think, chess Skill is the maximum (and most probable) performance.by the way I used another approach for predicting results. Using this loss score function, The best score = Pw + 0.5*Pd in which ""Pw = Probability of Wining"" and ""Pd= Probability of draw"". And I supposed the game would beWin: If S1-S2 > DrawRangeDraw: If abs(S1 - S2) < DrawRageDrawRange is a system constant and abs is the absolute functionThis is all my analysis until know. sorry for my bad English. If anyone else has done the same job I'd like to work with him as a teammate.",0,None,4 ,Tue Mar 22 2011 10:43:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/340,/competitions/ChessRatings2,89th
/jeffsonas,What programming language are you using?,"Hi everyone, I am curious what programming language people are using to develop their solutions. For the last contest, which had far less data, we took a survey during the first month (on the forum) and had the following results:5 answers: Java3 answers: C2 answers: BASIC, C#, Matlab, PHP, Python1 answer: C++, GNU Octave, Perl, SQLBy the way, that SQL answer is me. I am interested to know whether people were forced to use a database due to the size of the dataset, or if the other technologies are still working well. I just had someone ask me about this, because R was choking on the size of the data. I didn't realize that might happen - sorry! Unfortunately SQL is painfully slow on this dataset for something where you need to evaluate it one record at a time (such as TrueSkill) but works great for set-based solutions such as Chessmetrics, Glicko, or Elo. I would guess that C works really well for the one-at-a-time approaches. Is Java the language of choice still? Because of third party libraries?",0,None,10 ,Wed Mar 23 2011 06:15:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/341,/competitions/ChessRatings2,None
/jeffsonas,Using the secondary and tertiary training data?,"As long as I am already spamming everyone with questions, why not ask one more: are people finding the secondary and tertiary training datasets to be of use? If you don't know what I am referring to, you can look for the ""Additional Training Datasets"" page (you will need to go to the ""Information"" page first in order to get to the link). I am not quite sure why there have been no questions asked about these so far; hopefully the reason is that the documentation was easy to understand.My general sense was that the additional training datasets were very useful for the forward-only updating algorithms that need all the data they can get in order to gradually build ratings for everyone (such as Elo) but for something that looked backward in order to reinterpret games from the past (such as Chessmetrics) there was only marginal benefit to using the secondary and tertiary training datasets. Or it is possible that Chessmetrics is just strange since it never maintains ratings for everyone, and that almost all approaches can benefit from the extra data. I know they probably add a level of undesirable complexity, but on the other hand since so many people were going to be grinding away at this problem, I did want everyone to have as much data as possible.The other reason I hesitated to include the secondary and tertiary training datasets was that they are of limited practical use, moving forward, since there will never be any future game results generated in these formats; it is only an artifact of the way data was collected in the past and the fact that we don't have good game-by-game results for the first several years of the training period. So I don't necessarily want to reward people for sophisticated use of the additional training datasets, as this sophistication is only useful within the bounds of this particular contest, and has no real-world value.Anyway, I guess I am just wondering what other people's thoughts are on these additional training datasets...",0,None,4 ,Wed Mar 23 2011 22:35:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/342,/competitions/ChessRatings2,None
/shenss,"""Leaderboard"" variable amount","Hi all,since there will be a second part of the competition, but no leaderboard provided for this (for obvious reasons), maybe making the size of the variable subset public to the forum could further stimulate the competition !?I'll start: For my current public AUC of 0.889959 I worked on 120 variables.",0,None,1 Comment,Thu Mar 24 2011 18:59:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/343,/competitions/overfitting,90th
/lvdmaaten,Leaderboard errors?,"Is it just me, or are weird things happening on the leaderboard since the recent Kaggle updates? The MAEs of the same submissions appear to have changed twice over the last 24 hours.",0,None,8 ,Mon Mar 28 2011 10:50:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/346,/competitions/WIC2011,3rd
/yinghaoh85,Happy?,"Ok. Fine. You guys want fair? Post all of your IP address and account and let's do it in formal. Let's review what is the regulation of the competition, sentence by sentence.",0,None,1 Comment,Tue Mar 29 2011 23:14:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/348,/competitions/stayalert,None
/antgoldbloom,External Data,"Entrants are welcome to use other data to develop and test their algorithms and entries until 11:59:59 UTC on April 4, 2012 if the data are (i) freely available to all other Entrants’ and (i) published (or a link provided) to the data in the “External Data” on this Forum topic within one (1) week of an entry submission using the other data. Entrants may not use any data other than the Data Sets after 11:59:59 UTC on April 4, 2012 without prior approval.",0,None,45 ,Sat Apr 02 2011 18:23:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/349,/competitions/hhp,None
/karansarao,Variable Transformations,"Was wondering how others are going about the best variable transformation discovery. I remember reading in Olivia Parr Rudd about the 20 odd transformations (Log, Inverse, Square, cube, roots, Exp, Sin, Cos the works) and then retain the transformation with the highest Wald Chi value. One could write an R routine which for each of the 200 variables tries out 10 transformations individually and retains the best and then rebuild using GLMNET. Any other approaches...thoughts?",0,None,7 ,Mon Apr 04 2011 16:22:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/350,/competitions/overfitting,63rd
/davec6371,Drip Feed of Data,"Hi everyone. Does anyone know why the data is being drip-fed to us over several weeks? Is it just because the organisers aren't quite ready yet? Or is there another reason - perhaps related to why the Accuracy Threshold won't be decided for some time either? Cheers, Dave",0,None,7 ,Mon Apr 04 2011 23:54:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/351,/competitions/hhp,313th
/chefele,Initial Questions about the Rules & Dataset,"First, thanks to all the folks at Kaggle for running this contest. I'm sure today (""launch day"") has been a busy one. I've got a few questions about the rules & datasets --- can any of the organizers provide some answers? Thanks. RULES QUESTIONS Leaderboard: The ""Evaluation"" page, it says entrants can submit beginning April 18th... but on the ""Rules"" page, section 8 (& elsewhere) it says submissions can begin on May 4th. Is the April 18th date a typo? Or can we submit then, but the leaderboard is just not active until May 4th? (I'm assuming a typo, but want to verify). Outside Data Use: The rules say outside data is permitted until April 4, 2012, as long as the source is publically declared in the forums. Can you clarify what happens after that date? Is the intent that after 4/4/2012, we can only use the data sources that others have already declared in the forums? Or is the use of outside data after that date forbidden? (I'm assuming the former, but want to verify). Milestone prize winner: In section 13 of the rules, it says that Milestone prize candidates will provide their algorithm code and documentation and that the sponsors (Kaggle?) will ""post the information on the Website for review and testing by other Entrants."" What does ""information"" mean? Does it mean that all the CODE of the winners will be made available to all competitors, or just the high level descriptions of their algorithms? DATASET QUESTIONS Y5: Dataset ""Y5"" is mentioned in the evaluation page, FAQ, and in the Rules (section 12). However, it's not described fully. In the Evaluation tab, for example, it mentions ""Y4 (or if applicable, Y5)."" Can you elaborate on Y5? When would competitors use it instead of Y4? Why use the phrase, ""if applicable""? Sampling: Is the set of patients a random sample of all the patients, or was some selection critereon applied? (i.e. were non-emergency hospitalizations, like childbirths, excluded?) Releases of Data: Any particular reason why the data tables are not all being released at the same time? (e.g. is it being made available as soon as it becomes available from it's source?) Just to state the obvious, competing is harder without the full dataset in hand! ;)",0,None,3 ,Tue Apr 05 2011 04:14:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/353,/competitions/hhp,84th
/jhoward,"Use your real name when signing up, and only sign up once!","Nearly everyone who is signing up seems to be using their real name; however there's still a few that are very obviously fake. Please folks, realise this: if you don't provide that information accurately now, and in 2 years time you are at the top of the leaderboard, if your real name does not match what you signed up as then you will not be eligible for the prize! This will be audited for the winner, and for progress prize winners. So please double-check now - if you made a mistake, or didn't consider this when entering, please contact us using the link on the site and let us know, and we'll update it for you. (Be sure to do this ASAP - if you wait, it might be too late!) Also, please be very aware of the rule that you can only sign up once - again, please don't get yourself in a situation where you are not eligible to win a prize because in prize-winner auditing it turns out you've got a 2nd account! Don't risk it - there's lots of ways, both obvious and not-so-obvious, that multiple entries can be identified. With 2 years to analyse this data, there's no point risking being disqualified. (The advisory board for this comp includes a Netflix prize winner, a 3-times KDD cup winner, a de-anonymization expert, and so forth - there's lot of real-world experience there in running and competiting in big comps, so they know all the tricks and how to spot them!)",0,None,16 ,Tue Apr 05 2011 04:23:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/354,/competitions/hhp,None
/warrenblackwell,Any chance the initial data set still comes out today?,"Any chance the initial data set still comes out today? If not, I can stop refreshing! Thanks, WB",0,None,2 ,Tue Apr 05 2011 05:11:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/355,/competitions/hhp,None
/jhoward,Media coverage of the HPN launch,"It's been great to see some good media coverage of the HPN launch, including information about some of Kaggle's past competition winners. If you spot any interesting coverage, let us know in this thread! I'll start off with this: here's an article from Australia's main business newspaper, which even includes a picture of me in my mum's beautiful garden! http://jhoward.fastmail.fm/media/kaggle/Data%20analysis%20hits%20the%20big%20time.pdf",0,None,2 ,Tue Apr 05 2011 05:28:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/356,/competitions/hhp,None
/diegoorofino,he Heritage Health Prize - New York City Group,"If you live in New York, and you want to be part of group of smart engineers and data analyst looking to crack the code behing the current issue behing unnecessary hospitalizations, please become a fan http://www.facebook.com/pages/The-Heritage-Health-Prize-New-York-City-Group/179749388740137",0,None,1 Comment,Tue Apr 05 2011 05:40:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/357,/competitions/hhp,None
/ogenex,Missing values in DayInHospital_Y2,I'm wondering why there would be missing values for some patients in the DayInHospital_Y2 table? Wouldn't a missing value imply zero days in hospital?,0,None,11 ,Tue Apr 05 2011 06:17:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/358,/competitions/hhp,516th
/ejlok1,Questions on Members_Y1 data,"Hi I'm creating a post on any questions relating to the Members_Y1 data. So anyone with questions relating to this data can just slot it in here. Hope that helps manage to number of post in the forum I'll start off with a dumb question...the AgeAtFirstClaim, i'm getting some values of 1/10/2019 (Oct-19). Is this correct and what does it mean? Thanks EJ",0,None,2 ,Tue Apr 05 2011 06:45:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/359,/competitions/hhp,9th
/ferozdsilva,Dates in claims data,The claims data does not contain date field. Can we get the date field also.,0,None,11 ,Tue Apr 05 2011 09:18:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/360,/competitions/hhp,None
/medgle,External clinical informatics data and Intellectual Property,"First of all, this competition is amazing. :) However, before agreeing to the rules/etc, we had a few questions. 1: Is it the correct interpretation that kaggle/heritagehealthprise has royalty-free ownership of algortihms developed for the competition and as such can develop/license the algorithm to third parties? If no, then please do explain. 2: Over the last 4 years, we have collected ~100 million + data points cross-connecting symptoms, diagnoses, age, gender, duration, tests, and more to analyze clinical data. The data was collected via a large meta-analysis of information from the CDC, NIH, etc. and reviewed by our physicians. For more details about the data/algorithm please visit http://www.medgle.com/front.jsp. Can we use this data and algorithms to help us analyze the data you have provided in this competition? Thanks so much Ash",0,None,4 ,Tue Apr 05 2011 09:49:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/361,/competitions/hhp,None
/patternengine,Publishing in academic journals methods developed for HHP?,"Hi all, Part of my interest in the HHP is to publish in an academic journal any novel methods I develop. As I read Rule 22, in order to publish a paper that contained any results from the HHP data set, I would need to get explicit written consent from the Sponsor. So, question to the powers-that-be: In general, is permission likely to be granted if/when someone wishes to publish an academic paper that contains results from a method run on the HHP data set (but not the data themselves)? And would one still be allowed to use a such a method to submit entries into the competition? (esp given the ""not previously published"" part of Rule 20). Thanks! Rich",0,None,2 ,Tue Apr 05 2011 14:15:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/363,/competitions/hhp,105th
/innovative,Ambiguity in Intellectual Property section,"I precieved that, the rights to use the algorithem in any way, will be granted to the sponser, but not transfered. It means that the participant team also may use them in scientific publications or commercial products as it is not denied explicitly. Is this right?",0,None,23 ,Tue Apr 05 2011 14:22:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/364,/competitions/hhp,None
/innovative,Using of priori knowledge,"I would like to know if it is permitted to use priori knowledge in designing of the algorithem? Some of the computational algorithems, allow to embed priori knowledge (e.g. known medical logic) into the algorithem structure or execution (e.g. Knowledge based Neural Networks) and infact most of the time, these two are not seprable in an algorithem. So the algorithem will be applyable with the same level of accuracy to new datasets as well.",0,None,1 Comment,Tue Apr 05 2011 14:30:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/365,/competitions/hhp,None
/cybaea,Scoring formula for missing actual (a_i) values?,"How is the scoring formula to be implemented for missing values in the actual data set? (We are seeing missing value in the Y2 set, so presumably they can also be present in the Y4 set.] Is the sum i=1..n done over the not-missing values a_i, or Are missing values treated as zero (a_i = 0)? I am guessing the latter?",0,None,3 ,Tue Apr 05 2011 14:58:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/366,/competitions/hhp,109th
/solorzano,Primary Condition Codes,Are the primary condition codes based on a standard? They don't appear to be ICD-10 codes. It would be difficult to augment the dataset if they are ad-hoc.,0,None,1 Comment,Tue Apr 05 2011 15:18:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/367,/competitions/hhp,114th
/rkaanozbayrak,Actual location info,"It would be very relevant to the task to know the actual whereabouts of the members, or at least the primary care physicians. Could we get a zip code table for the primary care physicians?",0,None,3 ,Tue Apr 05 2011 15:31:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/368,/competitions/hhp,675th
/newmom,"what's the difference of Y1,Y2,Y3 and y4daysinhospital?","y1is the year of claim? y2 is the second year daysinhospital? y3 the third year? or y2,y3,y4 are days of hospitals for different parts of the member ids in second year?",0,None,1 Comment,Tue Apr 05 2011 16:08:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/369,/competitions/hhp,None
/eyesoftx,"Prediction Accuracy Formula ... which ""log"" will be used?","The prediction accuracy formula involves the use of logs. Which ""log"" is being used? Natural log? Log to base 10? Or something else?",0,None,6 ,Tue Apr 05 2011 17:03:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/370,/competitions/hhp,None
/sandracarrico,Mapping of Yn to actual year,"Can we map each of Y1...Y4 to actual years? Can we assume Y4 is 2010 and that makes Y1 2007? Regardless, can we assume these years are sequential?",0,None,1 Comment,Tue Apr 05 2011 17:11:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/371,/competitions/hhp,None
/igor47690,Sequence in claims data,"Is it possible to include a claim sequence, describing the order of the claims, in the claims data (as in SAF (standard analytical files) CMS data from Medicare) + month or quarter of the event? (If Heritage privacy officer does not feel comfortable with the actual date) The information that providing a date is not possible due to privacy concern is not actually true. The HIPAA rules do not prohibit the actual dates in the data: [Link]:http://privacyruleandresearch.nih.gov/pr_02.asp Moreover, multiple data vendors that sell APLD (anonymous patient-level data) provide HIPAA compliant dates. For example, all these vendor of patient-level data have the actual date of a visit/Rx: i3/Ingenix/United Healthcare, IMSHealth/SDI/Verispan, Wolters Kluwer, Thomson/MedStat, etc. How can we predict hospitalization if we do not know if it happens before or after the ER or if ER happens in the beginning or in the end of the year? All predictive models based on patient-level data include sequence of events, otherwise they are useless and do not ""contribute to generalizable knowledge"" and, therefore, violate the HIPAA requirement that patient-level data must be used only with a purpose of “a systematic investigation, including research development, testing, and evaluation, designed to develop or contribute to generalizable knowledge.” See 45 CFR164.501. [Link]:http://www.hhs.gov/ocr/privacy/hipaa/understanding/special/research/index.html",6,bronze,3 ,Tue Apr 05 2011 17:24:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/372,/competitions/hhp,None
/trezza,Can one be at home and hospitalized at the same time?,"Certain claims data member has service being provided at ""HOME"" and at the same time being hospitalized for 1-2 weeks. Can someone clarify what this means? Thanks, -Cathy",0,None,6 ,Tue Apr 05 2011 18:48:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/373,/competitions/hhp,504th
/goodi1342,Field description,"Anybody knows if there is a field description available? Fields such as: Provider versus vendor, pcp, Year, specialty, paydelay, dsfs, PrimaryConditionGroup, CharlsonIndex. Thanks",0,None,1 Comment,Tue Apr 05 2011 19:49:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/374,/competitions/hhp,None
/makagan,Patient Selection,"What was the criteria for a patient to be added to the datset? Were there certain criteria that the patient or the patient's information needed to satisfy to be added to the data-set? Was the sampling random from some pool of patients? I am trying to understand what kind of selection bias might be present in the data-set. For testing and validation at later stages, are we guaranteed that the patients in the testing data sets are selected with the same criteria?",2,bronze,14 ,Tue Apr 05 2011 20:05:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/375,/competitions/hhp,None
/chefele,Is any more claims data coming?,"Right now, we have claims data for only year 1 (Y1). Eventually, we'll have to make predictions about a patient's hospital stays in year 4 (Y4). So right now, given what we have, it looks like we'd have to make predictions across a 2 or 3 year gap (predicting Y4 hospitalizations based on Y1 claims). That seems much more difficult than, say, predicting Y2 hospitalizations using Y1 claims. So will there eventually be any more claims data provided for Y2 & Y3? (say, in the May 4th release of data?) I know we'll get daysInHospital for Y2 & Y3, and that will help, but claims data for Y2 & Y3 would be even better!",0,None,2 ,Tue Apr 05 2011 20:38:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/376,/competitions/hhp,84th
/igor47690,Data Problems: Inpatient Hospital stays w/o LengthOfStay & Outpatient LOS,"""Claims_Y1"" file contains around 18K inpatient records ([placesvc]=""Inpatient Hospital"") w/o LengthOfStay (LOS). The standard definition of the inpatient record is that patient stayed in the hospital overnight (of cause, there are exceptions, coming from ER admissions, etc., but they could be easily resolved). I.e. LengthOfStay for every inpatient record should be at least 1 day. Unfortunately, there are thousands of records where inpatient stays do not have any LengthOfStay (LOS). Moreover, there are thousands of records where patients have LengthOfStay in the Outpatient Hospital, Physician Office etc. which is illegal in US because those facilities do not have a proper JCAHO/TJC certification or other legally required certifications for patient overnight stay (i.e. for LengthOfStay>0). ( [Link]:http://www.jointcommission.org/ ) Usually, ""days in hospital"" are defined as sum of all LengthsOfStays for inpatient visits. How did you define ""days in hospital"" in ""DayInHospital_Y2"" file and did you count days in Outpatient Hospital as ""days in hospital"" (especially, because many Outpatient Hospital records have non-zero LengthOfStay)? If days in Outpatient Hospital were counted as ""DaysInHospital_Y2"", then we are not predicting actual hospitalizations, but something different instead. What about LTC (long term care), did you include LTC stays (which could be months) in the ""DaysInHospital_Y2""?",7,silver,10 ,Tue Apr 05 2011 21:39:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/377,/competitions/hhp,None
/jonlapointe,Is this considered a contest or are Quebec's residents allowed to participate?,"I know that the province of Quebec in Canada is not allowed in many contests online because of some regulations. (Same thing for Arizona I thing from what I see online.) As a Quebecer, can I participate? What if I join a team based elsewhere? Jonathan",1,None,2 ,Tue Apr 05 2011 22:31:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/378,/competitions/hhp,None
/rickr7766,Intellectual Property Rights,"Several coworkers and I would like to form a team. We plan to leverage some proprietary software from our company to help learn a model that can make the necessary predictions. This software is general purpose (domain independent) learning software that will learn a predictive model (algorithm) that will then be used to assess each exemplar and predict some number of inpatient days. The question concerns the licensing agreement. If we submit entries, would we be required to give you all of the learning software, or just the predictive model that is used to make predictions in this specific domain? We can't give away our proprietary software, so this would be a show stopper for us...",0,None,8 ,Wed Apr 06 2011 01:38:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/379,/competitions/hhp,None
/ejlok1,Organising topics in the forum?,"Hi all I'm struggling to keep up with all the topics in the forum at the moment. They are all important but there are already 29 topics in the forum only just after 2 days into the competition. I can't speak for the rest but would it be possible to organise the topics by groups? Say for example, a group for any questions relating to the competition rules, one for the Claims data, one for the Members data, etc. I think this would be really helpful moving forward especially for those who join the competition at a later stage. Should make it easier to look for relevant information. Thanks - Eu Jin",0,None,3 ,Wed Apr 06 2011 03:04:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/380,/competitions/hhp,9th
/igor47690,DaysInHospital outside of HPN (Heritage Network IDN): Leakage Issues,"Quick question: in this data, did you include patients who went to hospitals outside of HPN after seeing physicians in HPN? (I.e. patients went to a HPN physician office, for example, in the end of Y1 and in the beginning of Y2 and then went to the hospital outside of HPN) I.e., for example, patients went to a Cleveland Clinic for a complicated heart surgery after seeing HPN physicians in Y1 and Y2. Are those patient included in the database? Moreover, what if these patients continued going to the non-HPN inpatient hospitals in Y3 and Y4 (i.e. HospitalDays were outside of the HPN network)? Local California patients could potentially go to Kaiser or other California hospitals after seeing physician form HPN. If there is a Leakage in the database (i.e. patients do go to the hospitals outside of the database), is it possible to know the size of the leakage (i.e. % of cases when patients go to hospitals outside of HPN)? Thank you for the clarification, Yours truly, Igor",1,None,7 ,Wed Apr 06 2011 07:02:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/381,/competitions/hhp,None
/del=9147e4df7f188a91,DaysInHospital do not add up,"Hi DaysInHospital do not add up. Example: memberid = 929358906 claim_count = 24 sum(lengthofstay) = 18 daysinhospital = 15 Another issue: what if somebody has 5 claims, each 1-2 weeks. What is the predicted length of stay? 5 weeks? 10 weeks? 4-8 weeks? 8-12 weeks? Thanks",0,None,1 Comment,Wed Apr 06 2011 07:27:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/382,/competitions/hhp,None
/michaelbenjamin,"Is it just me, or should we get better data?","I was hoping for ICD-9 codes and CPT codes, but looks like we got diagnosis lumped by category. Does anybody else wonder what the claims are ""for?"" When I submit a claim to an insurance company, I have to tell them a procedure code. Then they look up in their database the code and reimburse me based on the pay scale for that code. I understand CPT is licensed by AMA, but shoot, you're putting up $3m for a contest, can't you at least put claim info in your claims table? I had this notion that I would be sitting around a kitchen table with other docs trying to classify cases based on actual patient information, but it looks like we are getting way less quality info than that here.",1,None,1 Comment,Wed Apr 06 2011 07:43:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/383,/competitions/hhp,None
/mgomari,Can you provide days in Hospital in Y1?,Is it possible to add to the data the number of days in hospital in Y1? Thanks,1,bronze,18 ,Wed Apr 06 2011 08:34:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/384,/competitions/hhp,None
/bkadry,Other Data Fields Needed: Can you release the following data?,"This data set is extremely limited and creating any clinically relevant algorithm to predict hospital readmissions is virtually impossible. I think there is value in simply identifying which data fields would be necessary to actually help answer this challenge. So maybe if the forum can help identify these fields the organizers can help release this data. Some things that come to mind: 1) Procedures (e.g. CPT Codes) 2) Lab Values (e.g. Cr, INR, BUN, Hgb, Alb, etc). 3) Diagnostic Studies (CXR, MRI, CT, etc) 4) Social History (Poly Substance Abuse, EtOH, Smoking, etc) 5) Medical History (Obesity, CAD, COPD, CHF, DM, SCD, ICD9-10, SNOMED, etc) 6) Vital Sign Data (HR, BP, Saturation, weight) I can think of atleast 20 more but I'm curious to hear other people's thoughts.",3,bronze,31 ,Wed Apr 06 2011 09:07:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/385,/competitions/hhp,None
/fordprefect0,Versioning datasets,"I'd like to suggest that dataset filenames be versioned explicitly in future, to prevent confusion in case some other problem like the missing DaysInHospital values shows up, either with this or the next data release. A simple system like adding a consistent version number in (all) the filenames would be enough to prevent tragic mistakes.",3,bronze,1 Comment,Wed Apr 06 2011 09:28:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/386,/competitions/hhp,557th
/linnemann1,"Missing data in ""Paydelay"" in dataset Claims_Y1","Out of 644,706 claims in Y1 44,623 claims have a missing value for PAYDELAY (the delay between the claim and the day the claim was paid for). There are 157 claims with 0 day delay, the rest somewhere between 1 and 161 days. How to interpret the missing values in PAYDELAY? Is this an error like the missing values in Daysinhospital_Y2?",0,None,1 Comment,Wed Apr 06 2011 09:29:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/387,/competitions/hhp,None
/ashasho,Residency issue,"Hi I have a talented colleague in my team, originally from an ineligible country but resident(living and studying) in an eligible country, is it possible for her to contribute? Also a genius student of mine is living in a bad(?) country, may we have him as a member of our team? I think that residency is subject to interpretation based on different countries rules. Regards",0,None,20 ,Wed Apr 06 2011 11:28:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/388,/competitions/hhp,None
/cybaea,Why are even DaysInHospital_Y2 favoured over odd?,"Does anybody have a theory as to why DaysInHospital_Y2 favours stays with an even number of days so much over the odd? Maybe some rounding artifact or is there anything intrinsic to the US health system that would favour, say 4 days over both 3 and 5? #!/usr/bin/Rscriptdih.Y2 <- read.csv(file = ""HHP_release1/DayInHospital_Y2.csv"", colClasses = c(""factor"", ""integer""), comment.char = """")names(dih.Y2)[1] <- ""MemberID"" # Fix broken filet(table(dih.Y2$DaysInHospital_Y2)) gives something like | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 ||-------+------+------+-----+------+-----+-----+-----+-----+-----+-----+----+-----+----+-----+-----|| 64361 | 5493 | 1382 | 778 | 1607 | 531 | 692 | 280 | 472 | 176 | 259 | 99 | 179 | 79 | 119 | 782 | Note that the 4 frequency is bigger than both 3 and 5; 6 is bigger than both 5 and 7; etc. (The 15 is special because it encodes all values ≥15.) At the risk of a bad pun, it seems a little odd….",4,bronze,13 ,Wed Apr 06 2011 13:49:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/389,/competitions/hhp,109th
/friendlyandhelpfulconsultants,"Solution idea for limited data problems, reidentification attacks","Proposal: Have competitors execute full-blown HIPAA-compliant NDAs and the rest of the (legal) needful to get access to the raw data. Still replace names and SSNs so identification is not trivial. Then again, I'm not in the industry so I don't know how much of a nightmare that might be for an individual hobbyist programmer. Thoughts? Has this already been discussed?",0,None,2 ,Wed Apr 06 2011 14:35:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/390,/competitions/hhp,None
/ejlok1,Male Pregnancy?,"Hi I discovered quite a few Male patients whom I believe were pregnant (PRGNCY), ages from 0-9 up to 80+. For instance, memberID 11832375. I googled male pregnancies to check and so far, this is still an unachievable feat. Perhaps I've mis-intrepreted the information? If so, can someone please clarify? Thanks EJ",1,None,20 ,Wed Apr 06 2011 14:39:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/391,/competitions/hhp,9th
/byang1,submission limit for multi-person teams,"If I understand the rules correctly, each person can be on only one team, and each team can make only 1 submission per day. This doesn't encourage formation of teams, because when you form teams, you lose submission slots. It may not be a big deal for small 2-person teams, but for larger teams it may be a significant issue, especially during times when you tend to work feverishly (like the days before deadlines). Therefore, I suggest changing the daily submission limit to the number of persons on the team, with a maximum cap of 4 submissions per day, even though teams may have up to 8 people.",1,None,1 Comment,Wed Apr 06 2011 19:17:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/393,/competitions/hhp,2nd
/tristanz,Call to Boycott Heritage Health Prize,"Researchers, Heritage recently changed the license terms to demand complete exclusivity: By registering for the Competition, each Entrant (a) grants to Sponsor and its designees a worldwide, exclusive (except with respect to Entrant), sub-licensable (through multiple tiers), transferable, fully paid-up, royalty-free, perpetual, irrevocable right to use, not use, reproduce, distribute (through multiple tiers), create derivative works of, publicly perform, publicly display, digitally perform, make, have made, sell, offer for sale and import the entry and the algorithm used to produce the entry, as well as any other algorithm, data or other information whatsoever developed or produced at any time using the data provided to Entrant in this Competition (collectively, the ""Licensed Materials""), in any media now known or hereafter developed, for any purpose whatsoever, commercial or otherwise, without further approval by or payment to Entrant (the ""License"") and (b) represents that he/she/it has the unrestricted right to grant the License. Entrant understands and agrees that the License is exclusive except with respect to Entrant: Entrant may use the Licensed Materials solely for his/her/its own patient management and other internal business purposes but may not grant or otherwise transfer to any third party any rights to or interests in the Licensed Materials whatsoever. Academics should also note that they cannot freely publish their results, even if journals accept publishing proprietary algorithms: Rule 20: ""entry (i) was not previously published"" Rule 22: ""The Data Sets may not be used for any purpose other than participation in the Competition without Sponsor's prior written approval. If you wish to use the Data Sets for research purposes, please contact Sponsor via the Website's ""Contact Us"" form, including a reasonably detailed description of the proposed research. All such requests will be given careful consideration."" This competition is now a shortsighted R&D effort for Heritage. I cannot see how any company or academic can submit results under terms remotely like these. Companies are bought and sold and have many assets that intermix and academics require owership of their creations, both for publications and to build future work. I urge Heritage to quickly change these rules and to follow the Netflix guidelines. Entries should require no license except being described in enough detail that a competent user can recreate the solution. Researchers should be free to publish results as they see fit. This will benefit Heritage commercially by ensuring the algorithms that are developed are far better than they would be otherwise, while protecting the interests of all involved. It is sad that this prize, which has significant potential, will have little impact on academic research or public health under the current terms. I encourage anybody that feels similarly to post their support.",9,silver,66 ,Wed Apr 06 2011 20:34:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/394,/competitions/hhp,None
/finelinesysdes1,Conflicting UIDs,"While this isn't an extreme problem, I have found at least one instance where a ProviderID and a MemberID are equal. Good software development prinicples will overcome the issue, but I felt I should make it known to the competition committee.",0,None,1 Comment,Wed Apr 06 2011 22:34:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/395,/competitions/hhp,None
/del=ca464592981e770f,Username and e-mail update?,"Hi, Is there a way to update the username and e-mail of ones profile? I cant seem to find the options to do so anywhere. Thanks",1,None,2 ,Wed Apr 06 2011 23:47:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/396,None,None
/davidweiss,Why I won't be participating. [Team Ensemble Member],"Hi all, I am a 3rd year graduate student in Machine Learning. I was a competitor in the Netflix Prize who finished in 2nd/3rd place each year of the competition. I was a member of the team ""The Ensemble"" which finished in 2nd place overall due after a tied score that was submitted 20 minutes after the winning team. I also have published a paper at the International Conference of Machine Learning (ICML) on collaborative filtering based on an algorithm developed with a teammate during the Netflix Prize. So I do have quite a bit of expertise both in the general research area and also in statistical competitions like these. As a graduate student in Computer Science, scientific papers are my life's blood, and crucial to my career. The Netflix Prize was set up in such a way that it was mutually beneficial for both competitors and Netflix -- although only a few researchers got to share the $1 million, many other competitors wrote many papers that completely changed the field of collaborative filtering for the better in a very short time. The reason it worked was that the data was easy to access BUT also because it was clear that Netflix was not trying to exploit the community with an extremely restrictive licensing agreement; you had to share your code with them if you won, but the only license you gave them was to use it themselves. If you qualified, you also agreed that they could keep whatever ""residual"" information they obtained during the examination process, which is reasonable -- they didn't want anyone suing them for copyright infringement. But Netflix was not going to be selling your work to others, nor were they going to keep you from publishing. The Rules of this competition go far beyond simply protecting themselves from lawsuits to seeming exploitation of the community they hope to inspire. From my reading of the terms of service, if I participate (and I was fully planning to) in this competition, I have to: 1. Not use any of my previously published research in the prize. (I don't understand what they mean by ""previously published"" -- all basic statistical methods have been published at one point or another. Nobody is going to invent anything that doesn't use some sort of probabilistic reasoning or optimization principles that haven't been already published.) 2. Give the Sponsors license to sell whatever work I just SUBMIT to them, even if they pay me nothing or I get nothing in return. 3. If I do end up developing something that works, I cannot publish it without the Sponsors consent. I.e., they may decide that they would rather sell my work to others and keep it secret, rather than allow me to further my academic career and publish my algorithms at a scientific conference (that competing healthcare providers would be able to see and use for their own profit.) 4. I am not even sure if the IP agreements I signed as a graduate student would even allow me to agree to these conditions. So I support the Boycott and I plan on discouraging any other CS grad students I find who are interested in the problem (and I have found many, who feel the same as I do). The rules completely violate the stated purpose of the competition, which was to inspire new research, and instead seems like a grab for free R&D by dangling a $3 million carrot. Sincerely, David Weiss P.S. The views expressed here are solely my own and do not represent the Ensemble, Grand Prize Team, Dinosaur Planet or any of the other teams that I was affiliated with in the Netflix Prize, nor my employer.",10,silver,47 ,Thu Apr 07 2011 00:10:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/397,/competitions/hhp,None
/ravi13878,PCPs with large number of members,"It appears that some primary care physicians have a large number of members associated with them - is this normal? For example, pcp id 842615 is associated with 20292 members! I'm not from the US. My understanding is that PCPs are doctors assigned to a member as his/her first level of contact, and that the pcp refers the member to other specialists if there is a need. Based on this understanding, I'd expect that pcp's cater to perhaps a few hundred members or so. 20292 members is just way beyond what I'd expect. Or is is that a common PCP id is assigned to an organization with a number of doctors or a hospital that can cater to a large number of members?",1,None,2 ,Thu Apr 07 2011 05:37:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/398,/competitions/hhp,None
/mgomari,Interpretation of missing values?,"Can you please clarify what missing values mean for: 1. paydelay (eg. is it no delay (i.e. 0), or not known) 2. LengthofStay (About 85% of inpatient hospital claims have missing LengthofStay, which violates being an inpatient claim unless it means the start and end service dates were the same, i.e. 0 or 1 day (depending on interpretation). Or do missing values simply mean no information, which is hard to believe for 85% of inpatient claims) In general, it is a good idea to include this info in the data page after each column definition or use meaningful globally defined values for interpreting the missing values. Thanks",3,bronze,1 Comment,Thu Apr 07 2011 07:22:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/399,/competitions/hhp,None
/toulouse,Commercial tools,I have a very simple question: Can I use a commercial tool to participate to the competition ? Thanks!,0,None,1 Comment,Thu Apr 07 2011 13:10:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/400,/competitions/hhp,168th
/gregs1,Leaderboard?,"I apologize in advance for asking such a basic questions, but I can't seem to find any link to the Leaderboard. The rules state: ""A public leader board (""Leaderboard"") will be displayed on the Website throughout the Competition beginning on May 4, 2011."" OK, but I don't see a link anywhere on any page for it. I tried searching messages for the term ""Leaderboard"" but it came up dry which seems to indicate that kaggle search might be broken. So how does one get to the Leaderboard?",0,None,4 ,Thu Apr 07 2011 15:30:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/401,/competitions/hhp,863rd
/aeoliana,Rules Confusion,"So I don't really understand where I stand legally with this competition... When I signed up I agreed to one set of rules, a set of rules that has since been changed. Yet since the alteration I have not been prompted to accept them as part of my continued participation, I did not have to agree to the new terms as a part of downloading the data. So where does that put me? Which set am I bound by? It's just kind of ridiculous that apparently by submitting an algorithm I am signing over the rights to my research for a chance at being considered for the prize. A consideration which as of right now is still undefined. So the following is possible?: I submit an algorithm that predicts the correct values in every case but one HHP says that it does not meet their standards for precision and refuse to pay me They keep my algorithm and use it anyways Is my interpretation incorrect? Also, is it just me or is this some incredibly weak data. How am I to correlate gender with anything whatsoever when the gender isnt really the gender of the individual being considered but the gender of the primary for the care plan? Some please enlighten me :(",2,None,1 Comment,Thu Apr 07 2011 15:57:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/402,/competitions/hhp,None
/matthewclark,Prediction baseline,"I get a score of 0.279, using the published function, by using the mean days of hospitalization per patient, 0.665, as the prediction for each patient, and comparing to the data in DayInHospital_Y2.csv (This assumes that ""log"" is log base 10.) So that is the ""null"" score and the predictive methods can be compared to that. Matthew",3,bronze,68 ,Thu Apr 07 2011 18:17:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/403,/competitions/hhp,None
/rafael0,How do I submit entries?,"""Each entry must be uploaded to the Website in the manner and format specified on the Website."" Where ? Do algorithms need to be in one specific programming language ?",0,None,1 Comment,Thu Apr 07 2011 19:15:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/404,/competitions/hhp,None
/smartersoft,Accuracy Threshold set?,"Did I miss something regarding the threshold to become eligible to win this competition? They say that you need to reach a certain accuracy threshold, but I can't find that number. It seems they might be moving the bar later in the game. What if the data is so limited that providing anything better than 40% accuracy is impossible? Will the bar be at 60%? My point is that if the bar isn't set now, we don't know if we are just wasting our time chasing an impossible goal. --alex",0,None,2 ,Thu Apr 07 2011 19:35:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/405,/competitions/hhp,796th
/scottp,are predictions required in real time? size of real database/set?,"I am going to assume that the data sample is only a very small sample of the larger database. I also am going to assume that the real data set is much larger - say in the terabyte range.1. Can you give us an idea of the size if the ""real"" database/set?2. Would any algorithm be required to make it's ""predictions"" in real time?Note:If this is the case, I would assume that this knock out just about all ""classic"" neural net algorithms because one, the ""training"" time would required would be unacceptable, and two, you could not update the nets in real time.",0,None,3 ,Thu Apr 07 2011 20:07:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/406,/competitions/hhp,None
/antgoldbloom,IP Issue - Behind the Scenes,"I want to reassure everyone that HPN is working hard behind the scenes to clarify the IP issue. It is not their intention to prevent people from using standard tools, nor to discourage anyone from applying their innovative ideas to this problem. For background, at Monday's launch event, Dr Richard Merkin, the man behind the prize, spoke of the long tradition of innovation that has resulted from past prizes. He spoke of: the Longitude Prize (http://en.wikipedia.org/wiki/Longitude_prize) - apparently Newton and Galileo had attempted to solve this problem but the winner was a self educated clockmaker from Yorkshire; Napoleon's food preservation prize - won by a confectioner and resulted in the invention of canned food; the Orteig Prize to fly non-stop from New York to Paris (http://en.wikipedia.org/wiki/Orteig_Prize) - won by the unlikely Charles Lindbergh. It is his hope that this prize will spur similar innovation to solve one of America's most vexing problems. We appreciate your patience while we await clarification. Kind Regards, Anthony",4,bronze,4 ,Thu Apr 07 2011 20:33:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/408,/competitions/hhp,None
/igor47690,Evaluation Metric Issues: Solutions where 100% of patients went to hospital could have higher score!,"I am afraid that Evaluation Metric might have another issue: solutions where 100% of patients went to the hospital could have higher score than solutions with right number of patients (around 17%) who went to the hospital. In the first case, even if DaysInHospital are predicted better (based on the Evaluation Metric epsilon: [Link]:http://www.heritagehealthprize.com/c/hhp/Details/Evaluation ) the predictive model is not very useful for HPN because it predicts completely wrong number of patients. I.e. this issue with the Evaluation Metric epsilon is that it does not take into the consideration that % of the patients that go to the hospital stay practically the same (i.e. conserved, minus slow national trend to decrease number of hospitalizations, which could be really small in HPN case and which we will see comparing DayInHospital_Y2 with DayInHospital_Y3). And solution, where every patient goes to the hospital (which is completely wrong) could have a better score, than solution predicting the right number of patients in the hospital. In this case predictive model will be useless for HPN, because it predicts a completely wrong number of patients in the hospital while predicting the ""right"" total number of days in the hospital. Do you think it is possible to add another metric which evaluates prediction based on if patient went to the hospital vs. if patient did not go to the hospital (i.e. binary - 0 or 1)? Then 2 scores (DaysInHospital & PatientInHospital (0/1)) could be combined and winner is identified based on the combined score. For example, the second score is equal to 0 if one can predict for each patient if this patient went to the hospital or not regardless of DaysInHospital.",0,None,36 ,Thu Apr 07 2011 23:23:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/409,/competitions/hhp,None
/john17,Reading List Suggestions,Does anyone have reading list suggestions? specifically about epidemiology/hospitalization work that has been done. I know it may not be in the spirit of such a cut throat crew but I thought I’d ask.,1,bronze,7 ,Fri Apr 08 2011 05:41:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/410,/competitions/hhp,1092nd
/igor47690,Should p be integer in evaluation formula?,Should p be integer in evaluation formula? [Link]:http://www.heritagehealthprize.com/c/hhp/Details/Evaluation Or we can use any real value for p?,0,None,3 ,Fri Apr 08 2011 05:53:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/411,/competitions/hhp,None
/diogoff,"""you can only select 2 submissions""","There have been some changes to the website and I'm not sure whether the difficulty I'm experiencing is related to that. Basically, when I select my submissions I get the message ""You can only select 2 submissions"". I've checked the rules again and they do not seem to have changed, it still says 5 entries. Anyone with the same problem?",0,None,1 Comment,Fri Apr 08 2011 12:01:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/412,/competitions/ChessRatings2,18th
/darragh0,Understanding Claims_Y1.csv Headings,"Hi,Just a quick explanation of the heading DSFS (Days since first claim).The column for dsfs in Data Claims_Y1 shows 0-1 month for example, does this mean that the Days since first claim for that year was within the last month?Or when the column shows 0-7 months for example, does this mean that the Days since first claim for that year was 7 months ago or within the last 7 months? Anybody comprehend and confirm this or what is actually the case. Thanking youJim",0,None,3 ,Fri Apr 08 2011 14:50:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/413,/competitions/hhp,855th
/doc555,Since you put the data in there...,"Since you put the data in there, does a null value in the pay delay field mean that the patient paid right away, or that you don't have the data, or that sometimes the patient paid right away, and some times you don't have the data? My working and testable hypothesis is that the longer a patient lets a bill go, the longer they might let a medical condition go, and the more likely they might be to end up in the hospital. Perhaps it is what you were thinking when you added the data in the first place?",0,None,1 Comment,Fri Apr 08 2011 15:35:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/414,/competitions/hhp,418th
/sciolist,Milestones & Publishing Algorithms,"I didn't see this in the FAQ - are teams required to publish their algorithms once they make an entry to a milestone? I know they have to submit it to the organisers obviously, but will it then be published publicly?",0,None,8 ,Fri Apr 08 2011 17:58:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/415,/competitions/hhp,None
/aeoliana,Claims table oddities,So how come I have records for outpatients with 26 weeks for the length of stay? Isn't that like... not what outpatient means?,0,None,3 ,Fri Apr 08 2011 21:23:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/416,/competitions/hhp,None
/pthinker,How to determine the initial rating,"Hi, Really new to here and to chess game.I hava a question I am not clear: For those players whose rating are not in the initial rating list, how can we determine their rating? Can we just assume their initial ratings are 0? Thanks!",0,None,3 ,Fri Apr 08 2011 22:31:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/417,/competitions/ChessRatings2,111th
/aeoliana,Basic Metrics,"So right now I am just messing around compiling some basic comparison metrics in the hopes that maybe I'll notice some sort of trend or stimulate some ideas. Here is a visualization of one of them: Average DIH by CCI by Condition Code - Colored by CCI - 5+ darkest So I dunno if there are any things like this other people would like to see, if you have a request just post it here. I am doing this as much for brain excercise as I am trying to win :) I can also provide the datasets along with the visuals.",10,silver,14 ,Fri Apr 08 2011 22:33:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/418,/competitions/hhp,None
/novakoff,Follow-Up Items,"HHP has been asked for the following for which replies are pending. 1. Corrected DayInHospital_Y2 data/data set quality. There was an abnormality in the ETL process resulting in an odd distribution of data which would be critical. A third party audit of the data files could help prevent additional questions of this sort. 2. Review of data disclosure restrictions. The disclosure of information for this contest should be reviewed by an IRB whose members are expert in the release of data for research purposes and the associated waivers specified in 45 CRF Part 46 and 21 CRF Parts 50 and 56. 3. Review of Foreign Assets Control Regulations. There have been complaints that the scope of the restrictions on foreign nationals exceeds those required by 31 CFR Parts 500 through 598. 4. Review of IP restrictions. There have been complaints that the IP restrictions for the HHP unnecessarily exceed those of the Netflix prize or have there is some confusion. 5. Review of statistical requirements. There is discussion of whether to use Real or Integer numbers in projecting hospital days, for example. Again, a third party review of the contest rules could help resolve these questions. Resolved Questions. 1. Inconsistant data. There have been complaints that there is missing or inconsistent data items (such as pregnant men). HHP responded that such is typical of heathcare data and that has been my experience as well. Comments on this list would be most appreciated. What did I miss?",2,bronze,8 ,Sat Apr 09 2011 00:18:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/419,/competitions/hhp,None
/zaccaksolutions,Kaggle and HPN Employees,Is it possible to mark posts by Kaggle or HPN employees with a different colour? Or maybe just put some kind of logo under your name so its easier to tell which are official employee posts. Thanks! -H,0,None,15 ,Sat Apr 09 2011 02:16:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/420,/competitions/hhp,544th
/del=2f182a57cb6ffbc0,I think I smell a mouse...,"When I read that the IPR rules had been changed to require ALL participants to grant an exclusive license to HPN, I wondered what was behind it. There will probably be 10,000 entries. Surely HPN is not interested in the 2,349th algorithm? Or is it? After thinking about this more, I have the sinking feeling that we are in Douglas Adams' Universe and HPN is the equivalent of the white mouse. Most of the algorithms that have won recent contest are variations of the Random Forests algorithm. The theory behind the random forests approach is that a sufficiently large collection of weak models will out perform any single best model. Hence, the problem reduces to one of finding a good feature space on which to apply the random forests algorithm. So why not apply the approach recursively? Generate a large number of models on a large number of feature spaces. Unfortunately, there is no known automatic method for generating all possible feature spaces for any given problem. The best you can do is ask 10,000 researchers to each create a feature space. Then one can apply a super random forests algorithm over the space of all possible models over all possible feature spaces... In other words, after collecting all 10,000 algorithms, HPN will be in the position to create a combined algorithm which will be better than the best model produced by any one entrant. In fact, if the threshold is set high enough, then HPN may not need to pay out the 3 million at all, but by combining all the entries still have a model powerful enough to cross the threshold. I have noticed several other threads in this Forum have also complained about the rule changes, however, no one seems to have thought the ramifications through to the end. As it stands the rules are written in a ""heads I win, tails you loose"" legalise which is not at all conducive to progress in the science of predictive modeling, not to mention improvement in clinical health care. Or is all this just the paranoid ramblings of one who has read too many volumes of the Hitchhiker's Trilogy?",3,bronze,4 ,Sat Apr 09 2011 12:12:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/421,/competitions/hhp,None
/wcukierski,Final Submission,Can we be allowed more than one final guess on target_evaluate? Maybe 3? It's just so easy to make a sign error or lose by some other silly slip up.,1,None,8 ,Sat Apr 09 2011 21:55:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/422,/competitions/overfitting,5th
/rbovard,Interpreting zero days in Y2,"I compared hospitalization in Y1 (# members with inpatient or outpatient claims in Y1) against the same in Y2 (#members with 1 or more days) and got 15,369 members in Y1 and 12,928 members in Y2. Could the zero day assignments include those who could not make claims in Y2 because they were deceased or dropped out for other reasons?",0,None,6 ,Sat Apr 09 2011 22:31:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/423,/competitions/hhp,562nd
/domcastro,Do we have to pay to take part later on?,"Hi, Before Kaggle was involved in the competition, I preregistered for the event. When I read the rules it says that entrants would be expected to pay a ""modest registration fee"". I can't see this mentioned anymore - has this changed? I'm a bit worried that in 2012 at the final stage, we will be charged for entering? thanks",0,None,1 Comment,Sun Apr 10 2011 00:39:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/424,/competitions/hhp,306th
/chaseshaw,9 year old pregnant boys,what exactly is primaryconditiongroup? because it has 5 admitees ages 0-9 two of whom are male.,0,None,3 ,Sun Apr 10 2011 06:38:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/425,/competitions/hhp,None
/davec6371,What constitutes 'External Data'?,"Hi Regarding the rules: Entrants must use the Data Sets provided to them solely to prepare their entries and develop and test their algorithms for accurately predicting the number of days andEntrants may use data other than the Data Sets to develop and test their algorithms and entries provided that (i) such data are freely available to all other Entrants and (ii) the data and/or a link to the data are published in the ""External Data"" topic in the Forums section of the Website within one (1) week of the date on which an entry that uses such data is submitted to the Website What constitutes 'external data' for the purposes of this competition? I'm specifically thinking about data that might obvious to a clinician, but not necessarily to a non-medical statistician. For instance, suppose that I decide that I'm going to give a weighting in some aspect of my algorithm of 1.0 to condition code 'SEIZURE', and a weighting of 2.0 to 'STROKE', because I know/think that strokes should cause more hospitalization than seizures. Do I need to declare my data source for this? Note that I'm supposing that these weighting haven't been gleaned from the data, they are 'common knowledge'. (or not-so-common knowledge that only a medical specialist might know). If the answer to this question is that 'yes, you must declare all your priors and put them in the 'external data' section of the website', then I foresee that we will be inundated with external data, as each of the 3000+ competitors publishes any data assumptions that they might make (to ensure that they do not later get disqualified for non-disclosure of their priors) Thanks for any clarification.",2,bronze,2 ,Sun Apr 10 2011 22:48:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/426,/competitions/hhp,313th
/ejlok1,Final Results,Hi Just wondering when will the final results be announced?,0,None,2 ,Mon Apr 11 2011 01:39:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/427,/competitions/WIC2011,5th
/markwaddle,Misc. data questions,"Hello Kaggle staff, In my investigations I noticed a few oddities in the data that haven't been asked about yet. Why are ""ingestions"" and ""benign tumors"" lumped together in one PrimaryConditionGroup of ""Ingestions and benign tumors""? These seem like very different conditions. What type of cancer is ""Cancer A""? What type of cancer is ""Cancer B""? Is there any insight into what the differences might be between the ""Miscellaneous 1"", ""Miscellaneous 2"" and ""Miscellaneous 3"" groups? There are 171 members whose first claim has a ""dsfs"" other than ""0- 1 months"". Shouldn't the first claim for each member be 0-1 months? Are these anomolies due to recording errors or data cleansing errors? First DSFS Member count0- 1 month 771181- 2 months 1022- 3 months 333- 4 months 194- 5 months 85- 6 months 46- 7 months 5 Thanks for your help. Mark",1,bronze,1 Comment,Mon Apr 11 2011 02:49:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/428,/competitions/hhp,218th
/augustocallejas,license requirements for open source libraries?,"hi- after reading the rules and searching this forum, its not clear to me if we're allowed to use open source libraries in our software. specifically, what licenses are allowed? is it sufficient for the license(s) we choose to allow ""Link with code using a different license"": http://en.wikipedia.org/wiki/Comparison_of_free_software_licenses thanks, augusto.",0,None,1 Comment,Mon Apr 11 2011 07:46:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/429,/competitions/hhp,None
/ahassaine,Methods description,"Dear all, Many thanks for participating to this contest. We will be very grateful if you could send us your name, affiliation and a description of your method along with reference to publications (if available). We will be interested in hearing about what you tried, what didn’t work, and what ended up working. This will be included in the competition article that will be published in the ICDAR2011 proceedings and probably in an extended journal article. Also, if you have used the features we provided, please mention this in your description. Finally, we will be happy to listen to your comments for improving future editions of this contest. You might post this either directly on this forum or by sending an email to hassaine (at) qu.edu.qa Thanks again for participating, Best regards, Ali",0,None,6 ,Mon Apr 11 2011 08:19:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/430,/competitions/WIC2011,7th
/cybaea,Aim is HIGHEST prediction score??,"The Evaluation page says: ""The eligible Grand Prize Entry that the judges determine produces the highest prediction score..."" but I think you mean the smallest? (Otherwise my submission is p_i = +Inf for all i for an \epsillon of +Inf regardless of the actual values - can I have my money now? :-))",0,None,4 ,Mon Apr 11 2011 12:31:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/431,/competitions/hhp,109th
/toulouse,LengthOfStay,"Hello! In the Claims Table, what does the variable LengthOfStay mean exactely? Thanks a lot!",0,None,4 ,Mon Apr 11 2011 13:51:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/432,/competitions/hhp,168th
/daveime,Initial Impressions ?,"So what are your initial impressions of the dataset (in it's partially released state) ? For me, the major problem I see is trying to build a coherent model using many variables, when so much data is blank or unknown or downright nonsense. Just looking at the ClaimsY1, what are we to assume where paydelay is blank ? Has it not yet been paid ? Has the claim been denied outright ? These missing data might play a part in the final result (off the top of my head, if a patient makes many claims, and has many denied, it may be suspected he/she is hypochondriac and is less likely to be admitted) ... but with an empty value, and no indication what it represents (or rather fails to represent), it's not much use is it ? LengthOfStay is another one with mostly blank values, and while the concensus view is that a blank value means the patient did not stay at all, it is again not clear. Are we going to get an official statement on what values NULL implies in each column of these tables ? There are so many nonsensical data points, I suspect this really is going to be a crapshoot. On TWO separate occasions, patient 911633904 spent 3 DAYS in an Ambulance ? WTF ? There are instances of 0-9 year old boys being pregnant ? And I'm sure many other strange aspects will come to light. Seriously, I understand the need for randomizing and anoymizing the data, but unless they have some way to unrandomize it afterwards, any algorithms we create will serve no real world application. This project is all about finding correlations and links between historical conditions, claims, medicines etc ... if the data is garbage, the result will be overfitted garbage suited for this dataset only and no other. So far, I'm very disappointed ... I competed on Netflix Prize, and IMHO the dataset was far higher quality.",0,None,4 ,Mon Apr 11 2011 16:22:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/433,/competitions/hhp,717th
/mgomari,How did you address these two points when counting Days in Hospital?,"1. Assuming the number of days are based on the difference between a service_start_date and service_end_date, how many days you assigned when service_start_date was say 1/1/2009 and service_end_date was 1/2/2009? Did you assign 1 or 2 days? Similarly we will use the definition to figure out what happens if both dates are the same, i.e. 0 or 1 day. 2. Going based on medical claims to compute days a patient may have multiple claims for one inpatient day, did you take care of these potential overlaps so that the same day in hospital is not counted more than once? Thanks",0,None,1 Comment,Mon Apr 11 2011 18:35:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/434,/competitions/hhp,None
/domcastro,American Health System,"I'm from the UK and we are very lucky to have a free for all health system. From just reading someone's post just now, it seems that time in hospital is linked to the insurance company and not a decision made by doctors. Could someone confirm this? Are Doctor's decisions overruled by insurance companies? Very surprised by this. The UK Health system RULES!",0,None,1 Comment,Mon Apr 11 2011 22:27:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/435,/competitions/hhp,306th
/botm2123,Is most of the leaderboard overfitting?,"I am asking to get a feel for how others are training and validating. My validation methodology trains on the 250 indicated, selecting optimal parameters using 10x10Fold CV for Maximum Accuracy. These parameters are validated on the remaining datapoints. This methodology is reccommended by Kohavi (1995). What methods are you using? LOO RSV Holdout?",0,None,41 ,Mon Apr 11 2011 23:00:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/436,/competitions/overfitting,136th
/floydnelson,The prediction values,"Nothing is said about whether the Pi need to be integers. Certainly the common log of Pi + 1 will NOT (generally) be an integer. It would seem that in the real(BILLING) world , the P i would have to be intgers, but in the world of mathematical forecasts, continuous variables exist, and make some kind of sense. DOES ANYONE KNOW if the P i are constrained to be integers ? FLOYD NELSON",0,None,1 Comment,Mon Apr 11 2011 23:45:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/437,/competitions/hhp,None
/floydnelson,The prediction values are required to be integers ?,"Nothing is said about whether the Pi need to be integers. Certainly the common log of Pi + 1 will NOT (generally) be an integer. It would seem that in the real(BILLING) world , the P i would have to be intgers, but in the world of mathematical forecasts, continuous variables exist, and make some kind of sense. DOES ANYONE KNOW if the P i are constrained to be integers ? FLOYD NELSON",0,None,2 ,Mon Apr 11 2011 23:46:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/438,/competitions/hhp,None
/blonchar,Disappointed by Category Data,"I'm disappointed that much of the data has been pre-categorized, primarily PrimaryConditionGroup. I read in another post that the reason behind that was patient privacy. The problem is that the biggest innovation that would have come from this contest is in HOW TO categorize the data for procedure and diagnosis codes in a way that optimizes data mining. Categorizing that data down to a few dozen possibilities dumbs down the intelligence that can be derived from the data, and will result in a solution only as good as that categorization. If privacy really is the issue here, then I am very disappointed that our privacy laws protect people at the cost of limiting innovation, which ultimately would reduce costs and save lives. Please let me know if I'm missing something or interpreting the data incorrectly. Thanks.",0,None,9 ,Tue Apr 12 2011 05:19:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/439,/competitions/hhp,1073rd
/jjjjjj,Can DaysInHospital_2/3 data sets be input to DaysInHospital_4 prediction?,"I have read through the rules twice and I think they are ambiguous on this. Is it within the rules to use DaysInHospital_2 and DaysInHospital_3 as inputs for the model used to generate DaysInHospital_4 for submission as an entry? Or are DaysInHospital_2/3 solely intended for training and validation. It is a reasonable assumption that a patient's hospitalization length in past 2 years (Y2 and Y3) may help predict Y4, and the rules should be clear on this. If this is not allowed, the obvious followup question is can DaysInHospital_2/3 be declared a ""USE OF OTHER DATA"" as described in section 7 of the rules. Thanks",0,None,3 ,Tue Apr 12 2011 05:49:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/440,/competitions/hhp,113th
/mgomari,Partitioning the data into Training and Validation sets?,"I wasn't able to find an answer to this in the rules. Is it fair to assume that Entrants can partition the available data into Training and Validation sets as they wish? Further, are Entrants allowed to fine tune these data sets if they see fit, e.g. removal of junk data? Thanks",0,None,1 Comment,Tue Apr 12 2011 06:33:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/441,/competitions/hhp,None
/ionic4313,Test set release,Just wondering if the classes of the test set will be released?,0,None,2 ,Wed Apr 13 2011 04:10:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/442,/competitions/WIC2011,None
/cooliomcdude,How to parallelise R [code included],"Hi All, This is my first data mining competition, so since my chance of winning is infinetesimal I may as well contribute some R knowledge (I have a statistics background). A common critisim of R is it's poor performance of iterative looping, but this can be ameliorated by writing explicitly parallel code. Make sure you're using a single-threaded BLAS or this will be inefficient. This following code runs the latest glmnet R benchmark in parallel. There are many packages that do this, but ""snowfall"" is the one I've had most succes with. If you use Linux it's quite easy to also parallelise over multiple machines, you just need passwordless SSH between the nodes and the master (I can provide more details if anyone's interested). On a single machine you don't need any additional setup (as far as I can tell - I only tested this briefly on Windows and it worked, but you need to make a firewall exception). Let us know if you have any problems or I've made a mistake ############################################ mydata <- read.csv(""overfitting.csv"", header=TRUE)colnames(mydata)trainset = mydata[mydata$train == 1,]testset = mydata[mydata$train == 0,]#set the targetstargettrain <- trainset$Target_Leaderboard#remove redundant columnstrainset$case_id = NULLtrainset$train = NULLtrainset$Target_Evaluate = NULLtrainset$Target_Practice = NULLtrainset$Target_Leaderboard = NULLtestID <- testset$case_idtestset$case_id = NULLtestset$train = NULLtestset$Target_Evaluate = NULLtestset$Target_Practice = NULLtestset$Target_Leaderboard = NULL ################################################### Implement the benchmark (parallel).num <- 1000 #the number of lambda values to generatewid <- 50 #the number each side of the median to include in the ensemble# Function to be parallelised - takes loop index as argument.fi <- function(i){ # if (i %% 50 == 0) print(i) mylambda <- cv.glmnet(as.matrix(trainset),targettrain,family=""binomial"",type=""auc"",nfolds=10) return(mylambda$lambda.min)}library(snowfall)# Initialise ""cluster""sfInit(parallel = TRUE, cpus = 2, type = ""SOCK"")# Example for running on multiple machines# sfInit(parallel = TRUE, socketHosts = c(rep(""serverNode"", 4), ""localhost"", ""localhost""), cpus = 6, type = ""SOCK"")# Make data available to other R instances / nodessfExport(list = c(""trainset"", ""targettrain""))# To load a library on each R instance / nodesfClusterEval(library(glmnet))# Use a parallel RNG to avoid correlated random numbers# Requires library(rlecuyer) installed on all nodessfClusterSetupRNG()system.time(lambdas <- sfClusterApplyLB(1:num, fi))# Using 4 threads on server, 2 on desktop:# user system elapsed # 0.468 0.050 619.891sfStop()# Change results from list to vector. # There are other tricks for returning a matrix, NULL, etc.lambdas2 <- unlist(lambdas)#sort the lambda valueslambdavals <- lambdas2[order(lambdas2,decreasing = TRUE)]#get the 'middle' lambda valueslambdamedians=lambdavals[((num/2) - wid):((num/2) + wid)]#build the models using these lambda valuesglmnet_model <- glmnet(as.matrix(trainset),targettrain,family=""binomial"",lambda=lambdamedians)#average the ensemblepredictions <- rowMeans(predict(glmnet_model,as.matrix(testset),type=""response""))",6,silver,2 ,Wed Apr 13 2011 06:22:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/443,/competitions/overfitting,84th
/informationman,Proprietary software and competiton rules,"So do I understand right that 1) you have to use ""open source"" software or ""open source"" algorithms or write your own algorithms to be able to win this price. 2) it is not allowed to use tools like SPSS Statistics, SPSS Modeler, SAS or other tools (cause the algos are closed source and have copyrights)",0,None,9 ,Wed Apr 13 2011 12:51:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/444,/competitions/hhp,1096th
/floydnelson,Release of competitive Results - GAMING,"Section 13. Milestone Prize Entries (ii) Other entrants will have the opportunity to submit comments/complaints relating to conditional winners methodology... This implies that the methodology of the intermediate winners will be published. Though this may intensify the competition and probably increase the accuracy, it will probably set off a type of GAMING. WHY would I help my competitors ? It seems I would hold off until the end to give my full, complete ,and best results... so as not not give it to my competitors while they still have time to act on my information. In fact, this even gives way to fake results and decoys on intermediate results . EVER bid on EBAY ? You know the real bids are held off until the last few seconds on an item that several people want ... not to be placing intermediate bids that will just raise the cost of what you pay. How will KAGGLE deal with this type of behavior ?",0,None,3 ,Wed Apr 13 2011 17:19:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/446,/competitions/hhp,None
/newamerica9710,Accessing hospital names,Would it be possible to access the names and/or locations of the inpatient hospitals that the patients were admitted to?,0,None,1 Comment,Wed Apr 13 2011 23:19:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/447,/competitions/hhp,None
/markhays,Will HPN / Kaggle own our work?,"Will HPN and/or Kaggle own the right to sell any software and IP we use or develop as part of our entry in this competition? It appears that the ""License"" section of the agreement would give HPN and/or Kaggle the unlimited right to sell any ""algorithm"" or software used by any competitor who joins the Heritage Health Prize competition, whether they win a prize or not. In other words, if we participate in good faith in this competition -- to improve healthcare services nationwide -- the sponsors will own all of the intellectual property developed by every competitor? I can see granting a license to HPN for their internal use, as the sponsor who funded the competition. Asking every competitor to grant a free license that would allow HPN (and maybe Kaggle) to sell our work worldwide -- with no royalties -- is something else. Was this the intent of the agreement? If not, it needs to be clarified. Anyone who has done serious work in predictive analytics knows the value of their IP -- and will refuse to participate.",0,None,1 Comment,Thu Apr 14 2011 21:27:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/449,/competitions/hhp,None
/zachmayer,Another way to parallelize R [Code Included],"Here is my take on replicating the benchmark in parallel. I use the 'multicore' and 'caret' packages, which I think simplify things a lot. It also makes it very easy to try different models, using the same process. For example, you could change my code to use a SVM by changing method='svmRadial', deleting the ""family='binomial'"" argument, and deleting the ""tuneGrid=MyGrid"" arguments. Multicore automatically detects the number of processors you have and spawns new processes using 'fork,' so it requres very little setup. I like to run it on Amazon EC2 instances with lots of cores... =) ############################# #1. Setup #############################rm(list = ls(all = TRUE)) #CLEAR WORKSPACE mydata <- read.csv(""overfitting.csv"", header=TRUE)trainset = mydata[mydata$train == 1,] testset = mydata[mydata$train == 0,] #set the targetstarget train <- trainset$Target_Leaderboard#remove redundant columns trainset$case_id = NULL trainset$train = NULL trainset$Target_Evaluate = NULL trainset$Target_Practice = NULL trainset$Target_Leaderboard = NULLtestID <- testset$case_id testset$case_id = NULL testset$train = NULL testset$Target_Evaluate = NULL testset$Target_Practice = NULL testset$Target_Leaderboard = NULL#Define Model Controls library(caret) library(multicore) MultiControl <- trainControl(workers = 2, #2 cores method = 'repeatedcv', number = 10, #10 Folds repeats = 25, #25 Repeats classProbs = TRUE, returnResamp = ""all"", summaryFunction = twoClassSummary,#Use 2 class-summary function to get AUC computeFunction = mclapply) #Use the parallel apply function ############################# #2. Run Model ############################# library(glmnet)MyGrid <- createGrid('glmnet',len=10) #Define a tune grid with alpha=1 or 0 MyGrid$.alpha <- rep(c(0,1),(dim(MyGrid)[1])/2) MyGrid$.lambda <- MyGrid$.lambda-.1 #Allow lambda to equal 0 MyGrid <- MyGrid[!duplicated(MyGrid),] #Remove duplicated alpha/lambda combinations targettrain <- as.factor(paste('X',targettrain,sep='')) #Bug in caret model <- train(trainset,as.factor(targettrain),method='glmnet',family=""binomial"", metric=""ROC"",tuneGrid=MyGrid,trControl=MultiControl) finalprediction <- predict(model,testset,type=""prob"") submit_file = cbind(testID,finalprediction) write.csv(submit_file, file=""Benchmark.csv"", row.names = FALSE)",8,bronze,3 ,Fri Apr 15 2011 18:21:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/454,/competitions/overfitting,59th
/ihbicmu,Timeline for the 2nd Milestone,"I'm assuming the date for the second milestone should be 2012, not 2011 as stated.",0,None,1 Comment,Fri Apr 15 2011 19:21:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/455,/competitions/hhp,None
/salimali,modelling algorithms in R,"I'm encouraged to see people are beginning to share R code. The problem with R is that you don't know what you don't know - I've already been introduced to flexgrid, glmnet & parallel processing. Below is some code that I hope some will find useful - a collection of algorithms that all run in the same simple framework. Hopefully this list can be expanded... please feel free to add any other algorithms you use! ###################################################### Collection of Examples of the different algorithms# that are available to build classification models# in R.## includes:## Logistic Regression# Linear Regression# RLM# Support Vector Machine# Decision Tree# Random Forests# Gradient Boosting Machine# Multivariate Adaptive Regression Splines############################################################################################################ 1. SETUP DATA######################################################clear worksacerm(list = ls(all = TRUE))#set working directory setwd(""C:/wherevever"") #load the datamydata <- read.csv(""overfitting.csv"", header=TRUE)colnames(mydata)#create train and test setstrainset = mydata[mydata$train == 1,]testset = mydata[mydata$train == 0,]#eliminate unwanted columns from train settrainset$case_id = NULLtrainset$train = NULLtrainset$Target_Evaluate = NULL#trainset$Target_Practice = NULLtrainset$Target_Leaderboard = NULL###################################################### 2. set the formula#####################################################theTarget <- ""Target_Practice""theFormula <- as.formula(paste(""as.factor("",theTarget, "") ~ . ""))theFormula1 <- as.formula(paste(theTarget,"" ~ . ""))trainTarget = trainset[,which(names(trainset)==theTarget)] testTarget = testset[,which(names(testset)==theTarget)]library(caTools) #requireed for AUC calc#####################################################display_results <- function(){train_AUC <- colAUC(train_pred,trainTarget)test_AUC <- colAUC(test_pred,testTarget)cat(""\n\n***"",what,""***\ntraining:"",train_AUC,""\ntesting:"",test_AUC,""\n*****************************\n"")}###################################################### 3. Now just apply the algorithms########################################################################################################### Logisic Regression#####################################################what <- ""Logistic Regression""LOGISTIC_model <- glm(theFormula, data=trainset, family=binomial(link=""logit""))train_pred <- predict(LOGISTIC_model, type=""response"", trainset)test_pred <- predict(LOGISTIC_model, type=""response"", testset)display_results()###################################################### Linear Regression#####################################################what <- ""Linear Regression""LINEAR_model <- lm(theFormula1, data=trainset)train_pred <- predict(LINEAR_model, type=""response"", trainset)test_pred <- predict(LINEAR_model, type=""response"", testset)display_results()###################################################### Robust Fitting of Linear Models#####################################################library(MASS)what <- ""RLM""RLM_model <- rlm(theFormula1, data=trainset)train_pred <- predict(RLM_model, type=""response"", trainset)test_pred <- predict(RLM_model, type=""response"", testset)display_results()###################################################### SVM#####################################################library('e1071')what <- ""SVM""SVM_model <- svm(theFormula, data=trainset,type='C',kernel='linear',probability = TRUE)outTrain <- predict(SVM_model, trainset, probability = TRUE)outTest <- predict(SVM_model, testset, probability = TRUE)train_pred <- attr(outTrain, ""probabilities"")[,2]test_pred <- attr(outTest, ""probabilities"")[,2]display_results()###################################################### Tree#####################################################library(rpart)what <- ""TREE""TREE_model <- rpart(theFormula, data=trainset, method=""class"")train_pred <- predict(TREE_model, trainset)[,2]test_pred <- predict(TREE_model, testset)[,2]display_results()###################################################### Random Forest#####################################################library(randomForest)what <- ""Random Forest""FOREST_model <- randomForest(theFormula, data=trainset, ntree=50)train_pred <- predict(FOREST_model, trainset, type=""prob"")[,2]test_pred <- predict(FOREST_model, testset, type=""prob"")[,2]display_results()###################################################### Gradient Boosting Machine#####################################################library(gbm)what <- ""GBM""GBM_model = gbm(theFormula1,data=trainset,n.trees=50,shrinkage=0.005 ,cv.folds=10)best.iter <- gbm.perf(GBM_model,method=""cv"")train_pred <- predict.gbm(GBM_model,trainset,best.iter)test_pred <- predict.gbm(GBM_model,testset,best.iter)display_results()###################################################### Multivariate Adaptive Regression Splines#####################################################library(earth)what <- ""MARS (earth)""EARTH_model <- earth(theFormula, data=trainset)train_pred <- predict(EARTH_model, trainset)test_pred <- predict(EARTH_model, testset)display_results()",12,bronze,8 ,Sat Apr 16 2011 01:57:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/456,/competitions/overfitting,98th
/gregs1,Scope of model - local or national?,"Is a single model that is trained once intended to work anywhere or is the idea that the model will always be trained with data specific to a particular location? For example, will the same patient, doctor, and location codes typically be seen again and again when new data is presented to the model?",1,bronze,1 Comment,Sat Apr 16 2011 04:45:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/457,/competitions/hhp,863rd
/washtell,Correlation coefficients,Apologies for posting this again. It seemed like it would probably suit a new thread. I see a few folks quoting scores. Does anybody have correlation coefficients (linear or rank) to report? These are arguably more useful when trying to get a feel for what's possible with the data. Minimizing the actual score function can be considered an additional calibration step. My preliminary values for Pearson's R come close to but do not yet exceed 0.1. I've not tried seeing how these translate into actual scores yet - I'll do that if and when I start getting something a bit more respectable. Any more encouraging results out there?,1,bronze,15 ,Sun Apr 17 2011 00:35:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/458,/competitions/hhp,None
/makagan,order of claims,"Not sure if this was answered previously, it concerns claims in the same month since first claim (i.e. claims with same dsfs). If a member has multiple claims in the same dsfs (say 4 claims with dsfs = 0- 1 month), were the claims entered into the data in a time ordered fashion, or is the order of the claims random?",0,None,2 ,Sun Apr 17 2011 04:19:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/459,/competitions/hhp,None
/dslate,Team membership problem,"I recently entered this competition, and when I made my first submission I changed my team name to ""Old Dogs With New Tricks"", with the intention of adding Peter Frey to my team as I did for the first Elo contest. I believe I clicked on his name, but as far as I can tell he is not listed as part of ""Old Dogs With New Tricks"", and I don't know why this happened or how to fix this. Does Peter have to do something to confirm team membership? Any ideas on how to add him to my team after having already made 3 submissions? Thanks, -- Dave Slate",0,None,2 ,Sun Apr 17 2011 20:33:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/460,/competitions/ChessRatings2,11th
/aeoliana,More data would be cool n' stuff,"So I am finding there are 24,327 unique condition combinations in the data. And there are 77k~ points of data for Days in Hospital... Best case thats like a whopping 3 unique points of information for any given set of conditions. (In actuality its a lot of single entries with more common condition combinations reaching as many as 4,145) So I know it is unlikely, but is there any way we could get like... 50 times as much info as we have here? :) Kind of hard to make any statistically significant observations with only one point of data, even if we may get 2 more with Y2/3 data.",0,None,18 ,Mon Apr 18 2011 17:24:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/461,/competitions/hhp,None
/informationman,RStudio code optimization for newbies,"I am totaly new to R (have got experience with SPSS, SPSS Modeler and matlab) I tried weka on my computer but it failed to do any good with 60.000 datasets because of lack of RAM - error heap size what ever Now I'm trying to use the randomForest implementiation in R with the simple dataset: memberid, Number_of_Claims, DaysInHospital_Y2 ####################### library(caret) ## load csvdata <- read.csv(file = ""data.csv"",sep = "";"", colClasses = c( rep(""integer"", 3) ), comment.char = """") mdl <- train(data, data$DaysInHospital_Y2, ""rf"") ####################### RStudio works for some minutes and fails: Fitting: mtry=2 Error: can't allocate 294.8 MB #(translated) 1: In rfout$nodestatus <- rfout$nodestatus[1:max.nodes, , drop = FALSE] : Reached total allocation of 4087Mb: see help(memory.size) 2: In rfout$nodestatus <- rfout$nodestatus[1:max.nodes, , drop = FALSE] : Reached total allocation of 4087Mb: see help(memory.size) 3: In rfout$nodestatus <- rfout$nodestatus[1:max.nodes, , drop = FALSE] : Reached total allocation of 4087Mb: see help(memory.size) 4: In rfout$nodestatus <- rfout$nodestatus[1:max.nodes, , drop = FALSE] : Reached total allocation of 4087Mb: see help(memory.size)",0,None,9 ,Mon Apr 18 2011 19:12:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/462,/competitions/hhp,1096th
/zaccaksolutions,HHP: Evalutaion Algo in Groovy,"Hi all, Here is a quick Groovy class I did to run the evaulation. Feel free to use it, abuse it...etc. Just cite me if you post it. Let me know if you see any mistakes. Thanks, Henry /* * Heritage Health Prize: Evaluation of predicted results to actual results. * http://www.heritagehealthprize.com/c/hhp/Details/Evaluation * * By Henry Zaccak * henry AT zaccak.com * */class Evaluation { static main(args) { // prediction data def pFile = 'DayInHospital_Y2_no_header.csv' def p = [] double pAvg = 0 double pErr = 0 importCSV(pFile, p) // actual data def aFile = 'DayInHospital_Y2_no_header.csv' def a = [] double aAvg = 0 double aErr = 0 importCSV(aFile, a) // assume they are in the same order, make sure they are same size if (a.size != p.size) { println ""File columns sizes don't match!"" return } // evaluate double e = 0 for (i in 0..a.size-1) { //p[i].los = 0.664984667934635 // Mean prediction //p[i].los = 0.2243310244221811 // Minimal error prediction pAvg += p[i].los aAvg += a[i].los double pln = Math.log(p[i].los + 1) double aln = Math.log(a[i].los + 1) pErr += pln aErr += aln e += Math.pow(pln - aln, 2) //println ""P: "" + p[i] + "" A: "" + a[i] } pErr = pErr / p.size aErr = aErr / a.size pAvg = pAvg / p.size aAvg = aAvg / a.size e = Math.sqrt(e / p.size) println ""Err Prediction: "" + pErr println ""Err Actual: "" + aErr println ""Avg Prediction: "" + pAvg println ""Avg Actual: "" + aAvg println ""Final e: "" + e } private static importCSV(String file, List list) { new File(file).splitEachLine(','){fields -> // id: MemberID, los: length of stay list.add(id: fields[0], los: fields[1].toDouble()) } }}",0,None,2 ,Tue Apr 19 2011 02:49:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/463,/competitions/hhp,544th
/dslate,Test set filter ambiguity,"The Data page explains the utility of the WhitePlayerPrev and BlackPlayerPrev variables as follows: So in the creation of the test set for months 133-135, there was a filter applied. Instead of including all games played during months 133-135, the test dataset only includes games in which both players had at least 12 games played during the final 24 months of the primary training dataset (i.e. months 109-132). ... For instance, if your validation test set was drawn from the games of month 130 only, and you only selected games from that month having WhitePlayerPrev > 12 and BlackPlayerPrev > 12, then you would only be getting games in which both players had at least 12 games played in the previous 24 months of the primary training set (i.e. months 106-129). And this filter is analogous to what was done to filter the games for the test set. It seems to me that the test for ""at least 12 games played"" should be: WhitePlayerPrev >= 12 and BlackPlayerPrev >= 12 not: WhitePlayerPrev > 12 and BlackPlayerPrev > 12 Am I missing something? Thanks, -- Dave Slate ",0,None,1 Comment,Tue Apr 19 2011 06:50:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/464,/competitions/ChessRatings2,11th
/dyakonov,Сan I use the description of this problem?,Сan I use the description of the Social network challenge problem and the reference to this site in my scientific article? Thank you.,0,None,1 Comment,Tue Apr 19 2011 17:10:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/465,/competitions/socialNetwork,7th
/aeoliana,Good scores?,"So my algorithm is only like halfway through munching but it tells the the value of that squiggly e as it goes... I was just wondering what a good score is, and where you guys are at just so I can sort of gauge my progress. Thanks! (oh my score is wavering on .49-.5?)",0,None,4 ,Tue Apr 19 2011 23:09:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/466,/competitions/hhp,None
/del=38030232b02450fa,Data Set Question?,"I am wondering will data set include info such as date of birth, city of birth,..and other personal data such as weight, height?",0,None,3 ,Wed Apr 20 2011 02:37:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/467,/competitions/hhp,None
/kvougas,On predicting Year_4 values,Can somebody explain how one is able to train a model to predict Year-4 values if the training set does not contain any Year-4 values....? I cannot see how this can be done. Shouldn't the Kaggle team release a partial set of Year-4 values than can actually be used as a training set??? Thanxs in advance,0,None,2 ,Wed Apr 20 2011 10:40:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/468,/competitions/hhp,None
/sarmal,Length of Stay,"Is it fair to assume that a LengthofStay value (in Claims_Y1.csv) is a hospital stay (of the type pi or ai in the ε metric ) only if the placesvc (Place of Service) is Inpatient or Outpatient Hospital? Also, do the DaysinHospital in the DaysinHospital_Y2.csv file also refer only to Inpatient and Outpatient stays? What is the interpretation of 2-4 weeks for LengthofStay with placesvc set at home or other?",0,None,5 ,Wed Apr 20 2011 19:22:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/469,/competitions/hhp,817th
/karstenw,Year 2 hospitalization at most 15 days?,It is a little bit suprising that patients stay at most 15 days in hospital in year 2. Is there an explanation for this?,0,None,7 ,Thu Apr 21 2011 23:53:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/471,/competitions/hhp,None
/salimali,More prizes up for grabs!,"Well Kagglers, I'm highly impressed so far. Before the comp started I was expecting 0.86 would have been a very good attempt at this problem but your efforts have far exceeded this (that is if you have not overfit to the leaderboard!) . Just for fun, three more prizes of $100 each are up for grabs: 1) The contestant who’s contributions to the forum are judged most valuable by the other contestants. In order to judge this we will be looking at how many 'thanks' each contestant gets in the forum and also get each entrant in the final submission to nominate their top 3 contributors. 2) The contestant who can best predict the top 5 final standings in the AUC part of the competition. When you make your final submissions via email, we will also ask you to give a prediction of which teams will eventually finish in the top 5 places and in what order. 3) The contestant with the lowest aggregate ranking when the results of AUC and Variable Selection entries are combined. The judges decision is final and if there are ties we will donate the money to charity. Just a recap of what is expected at the end of the competition... 1) The leaderboard will change to reflect the scores on the unseen 90% of the data. You will also be able to then see the 90% scores on each of your individual submissions. 2) You need to prepare two final submission files. The first is for your model scores for predicting 'Target_Evaluate' in the dataset. Prepare this in the same way as normal submission files, but have your team name as the header field in your prediction column. The second file is a list of the 200 variables, with a 1/0 against each to indicate if you think they were used to generate the target. Again, please also have your team name as the header in the 2nd column. 3) email these two files, including in your email details of your team name and team members real names, votes for 1) and predictions for 2) as mentioned above. Details of the email address to send the predictions to will be given later. 4) The top 3 placed teams in each section will be announced in the forum - but without revealing the finishing order. Each of these teams will then be asked to briefly describe their technique in the Kaggle blog over the next 7 days. The winners will then be announced - but you are only eligible for the prize money if you reveal your technique to all. As everyone is probably very busy and otherwise engaged, there is going to be a window of 8 days between the contest finishing and the deadline for me receiving the final email submissions. This ensures everyone at least gets a weekend to work over. The initial rules said 24hrs but I would prefer everyone to get a chance to submit something. Have fun Phil Tiberius Data Mining",1,bronze,7 ,Sat Apr 23 2011 08:46:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/474,/competitions/overfitting,98th
/jeffsonas,Best FIDE Prize Scores?,"Hi everyone, with less than two weeks left, I would like to know what our FIDE Prize leaderboard looks like. Currently I believe that team Reversi, in 15th place, has the best-performing public score among entries that meet the restrictions of the FIDE Prize, but remember that there is room for ten finalists. I expect that the top ten for the FIDE Prize will stretch down to the #50 spot or so on the final standings. So, please post the public score of your best prospect for the FIDE prize, or send me email privately (at jeff@chessmetrics.com) if you would like to keep your identity secret until the end of the contest. Also remember that your most recent entry, out of the five selected entries on your Submissions page, will be the default one eligible for consideration for the FIDE prize, unless you let me know via email (jeff@chessmetrics.com) which specific one is your candidate. Thanks! -- Jeff",0,None,3 ,Sat Apr 23 2011 19:57:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/475,/competitions/ChessRatings2,None
/ockham,Try these variables,var_8var_10var_11var_14var_15var_20var_21var_22var_26var_27var_30var_32var_33var_35var_36var_37var_39var_41var_43var_44var_45var_48var_49var_50var_51var_53var_54var_56var_58var_59var_61var_62var_63var_64var_67var_69var_70var_71var_72var_76var_77var_79var_82var_84var_86var_88var_89var_90var_91var_92var_94var_95var_96var_98var_100var_101var_102var_103var_105var_107var_110var_111var_112var_114var_115var_116var_117var_122var_127var_129var_132var_133var_134var_136var_137var_143var_145var_146var_150var_151var_154var_155var_158var_159var_160var_161var_162var_163var_167var_168var_170var_174var_178var_179var_180var_181var_182var_183var_185var_187var_188var_191var_193var_194var_196var_197var_199var_200,5,bronze,29 ,Tue Apr 26 2011 01:52:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/477,/competitions/overfitting,44th
/del=37478cf4f027318a,giving help to other teams,"Since this competition is ultimately about the health of patients is it okay if you think you have a good algorithm but are not good enough at statistics or programming to develop the algorithm properly, to let everyone else on this forum know what your algorithm is so they can take it further if they want to? I am someone with limited knowledge of statistics and programming who has already thought of an algorithm that may work well.Suppose my algorithm could predict 75 per cent of patient days in hospital correctly and it was top of the leader board next month but I cannot improve it.Isn' there a moral duty to pass the algorithm on to other competitors who are more able to improve it.Suppose after three months of the competition the algorithm is 98 per cent effective at predicting days in hospital - do you really let the competition go on for two more years when patients could be helped in three months!",0,None,4 ,Tue Apr 26 2011 11:09:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/478,/competitions/hhp,1081st
/cybaea,Does missing values of paydelay mean unknown or not applicable?,"There are 44,623 missing values of paydelay in Claims_Y1.csv. Are these claims where You didn't record this metric for some reason (!?) or No payment was due for this claim in isolation If #2 (which I assume), is this because (a) the payment was rolled up to another of the claims (e.g. a series of tests payed as one) and/or (b) are there genuine free treatments?",0,None,6 ,Tue Apr 26 2011 12:31:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/479,/competitions/hhp,109th
/del=37478cf4f027318a,best software for analysis,Is MS Excel better for this task than say mysql or php?,0,None,30 ,Thu Apr 28 2011 00:13:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/482,/competitions/hhp,1081st
/jeffmoser,Tips for posting code,"It's been great to see several people posting code in these forums. My plan is to eventually add a syntax highlighter for code snippets as well as supporting attachments. In the mean time, if you'd like to post code, consider putting an HTML <pre>tag</pre> around it. You can do this by clicking on the ""HTML"" button in the second toolbar row or you can use the ""Preformatted"" style dropdown (it's the second dropdown on the top toolbar row). For example: public static void SayHello() { Console.WriteLine(""Hello World!""); } To keep things looking nice, try not to make lines longer than 80 characters. If you obey this style, I'll be sure that your code imports well when I upgrade to syntax highlighting. Feel free to post any further ideas for posting code here as well.",0,None,3 ,Fri Apr 29 2011 00:08:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/483,None,None
/salimali,Ensembling,"Here are some ensembles of models that compare a single model built with all variables with what happens when you just average lots of models built on random sub populations of the data but with the same model parameters. The models were built on the 250 cases and the AUC in the plots is for the other 19,750 using Target_Practice. The baseline is the model built on all data and each sub pop model used data randomly genreated from 50-100% of variables and 50-100% of cases. This demonstrates nicely for this data set that if you don't know what settings to use, then and ensemble will do well. It also demonstrates something that can be couter intuitive - that an average of lots of poor models is a lot better than the best individual model. glmnet and pls stand out as not benefitting a great deal from ensembling - the algorithm does the regularisation itself, although for alpha = 1 it would appear ensembling may be of benefit. Vanialla logistic and linear regression show that there is a lot of overfitting and the ensemble reduces this effect, essentially by reducing extreme weights. Hope this is of interest and that this post works OK! The End!",4,bronze,2 ,Fri Apr 29 2011 04:23:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/484,/competitions/overfitting,98th
/rks138062,Entry specifications,"Rule 8 states that the entries must be uploaded in the manner and format specified on the website, but I've rummaged around on the website everywhere I can think of and I can't find the specifications. The picture at the bottom of the Data page seems to suggest that the interim entries should be in the form of a vector of predicted values for the members and that the prizes for the milestones will be based on predicting the Y2, Y3, & part of Y4 days, but I can't find a clear statement of that either. Could someone point me to the specs?",0,None,2 ,Fri Apr 29 2011 05:25:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/485,/competitions/hhp,436th
/cq887003,Question about definitions of dsfs and day_in_hospital_Y2 ,"1. dsfs: majority of dsfs are with value: ""0-1 month"", but some are different. If its definition is ""days since first claim made that year"", we could have two explanations: a. ""0-1 month"" is the first claim time. Q: everyone should have at least one value of ""0-1 month"" for the first cliam that year, which is not true from the data. Why? b. The cliam data is not the first one. Q: where is the first one? 2. day_in_hospital_Y2: How is it presented if a person made cliams in Y1 but none in Y2? This should be different from day_in_hospital_Y2 =0, meaning ""no stay"".",0,None,1 Comment,Fri Apr 29 2011 13:24:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/486,/competitions/hhp,1012th
/zachmayer,Feature selection using SVM?,"We've already seen tks implement feature selection using a glmnet. How would you implement something similar, using e1071 or kernlab in R to do feature selection using a support vector machine?",1,None,14 ,Fri Apr 29 2011 15:59:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/487,/competitions/overfitting,59th
/zachmayer,"Parallelizing, cross-validating, and testing tks' feature selection method","Here is some code I wrote to parallelize and cross-validate tks' glmnet feature selection. It hasn't improved my ranking on the leaderboard, but the code was fun to write, and it can easily be extended to test other feature selection methods. Please let me know if you spot any room for improvement. edit: it seems that I can't embed gists from github (that would be a nice feature to have...) so here's a link to my blog, where you can view the code, complete with R syntax hilighting! [Link]:http://moderntoolmaking.blogspot.com/2011/04/parallelizing-and-cross-validating.html",3,bronze,5 ,Fri Apr 29 2011 18:57:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/488,/competitions/overfitting,59th
/ahassaine,Future editions of the contest?,Hi there ! Just wondering if you are planning to organize future editions of this contest. Thanks ! Ali,0,None,19 ,Sun May 01 2011 13:03:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/489,/competitions/ChessRatings2,None
/trezza,Visualizing the data,"I don't know what people are using to visualize the claims data, if any, but since I'm a visual person I made up some icons to try to see the spectrum of the pcg data in a different way: It really is enlightening to see the course of illnesses are as varied as the people who have them. As I was looking through the hip fracture data, I found that looking at the data this way helped to better illustrate transient conditions that you could eliminate from your statistical ratios if you could identify them in a generic way. I think it turns the data back into people too. If I find a good way to visualize the other data, I'll probably add it too. Anyway....if anyone wants the icons or has suggestions, let me know and I'll put them up somewhere. -Cathy",0,None,2 ,Mon May 02 2011 06:22:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/490,/competitions/hhp,504th
/byang1,"Some basic tallies, for verification","Hi, Took a first real look at the released data today. Here're some basic numbers I tallied, can anyone confirm them ? I just want to make sure I didn't make any stupid mistake in basic processing, I can generate more numbers if anyone wants to see them. Thanks ------------------------------------------- In Claims_Y1.csv, there're 644706 entries. Total members: 77289 Total days in hospital in Y2: 51396 ------------------------------------------- Some of the missing data: ProviderID: 3903 //entries with no ProviderID, and so on Vendor: 6492 PCP: 1619 PayDelay: 44623 LengthOfStay: 617827 ------------------------------------------- Claims by Specialty: Anesthesiology 7499 Diagnostic Imaging 66641 Emergency 31988 General Practice 129284 Internal 170642 Laboratory 124325 Obstetrics and Gynecology 10419 Other 20983 Pathology 4194 Pediatrics 17675 Rehabilitation 7282 Surgery 53774 ------------------------------------------- Top 5 Members with most claims: MemberID Claims 643099505 37 182716400 36 373012540 36 461240127 36 894669103 36 ------------------------------------------- A few claims by paydelay: missing 44623 0 157 50 8604 100 1293 161 522 //161 is the max paydelay in file ------------------------------------------- Member count and days in hospital by first claim age group: 0 6892 1833 //0 to 9, 6892 members, 1833 days in hospital 1 7397 1736 //10 to 19, ... 2 4916 2863 3 7818 3639 4 10838 3628 5 9258 4255 6 9570 6884 7 13254 14441 8 7346 12117 ------------------------------------------- 3778 members have paydelay>150, together they have 3893 days in hospital.",4,bronze,1 Comment,Mon May 02 2011 07:25:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/491,/competitions/hhp,2nd
/trezza,Data set question - a years worth of data?,"I have a question about the claims data set. Is it true that the data represents a snapshot of what was happening in a given 365 days or is each member given a year's worth of claims; that is, the hospitalization data represents what happened to a member at least 365 days after the member's first claim? I believe it's relevant to determining whether any given condition is being managed, is temporary, or resolved. Thanks for clarifying. -Cathy",0,None,5 ,Mon May 02 2011 14:46:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/492,/competitions/hhp,504th
/jeffsonas,Follow-up Dataset,"In accordance with the contest rules, the top four finishers in the main contest (and top ten in the FIDE prize contest) are required to run their systems against a new set of data, within a week of the end of the contest. Hopefully this will let us assess the robustness of the winning systems against a similar (but definitely different) dataset, that I am calling the ""follow-up"" dataset. I had already prepared the data files in advance, but given the discussions of the past 24 hours, I decided to add a lot more spurious games to the test set before distributing it. It will be available right after the contest ends. The follow-up dataset has a few differences: most importantly the player ID#'s have been randomized again, thousands of additional players have been added, and the test period has been moved three months later (so the training period will cover months 1-135 and the test period will cover months 136-138). We have decided to make this dataset available to everyone, not just the top finishers, so you will be able to find it on the Data page within the first day after the contest ends. There is no way to submit predictions automatically for the ""follow-up"" dataset, but I am happy to score the submissions manually against my database if people would like to know their relative performance against this new dataset that hasn't been chewed up as thoroughly as the contest dataset. More details to follow later, but I was envisioning that the winners would have to make their submission manually to me within the first week (by Wednesday May 11) in accordance with the rules, but anyone who wants to can send me one or two tries by Friday May 13, and I can post those results over the weekend. It won't affect the prize allocation (unless something suspicious is revealed by this process) but it will be interesting to see, I think. I will also encourage people to make a second set of predictions, one that makes no use of the future data from the test set.",0,None,5 ,Tue May 03 2011 10:50:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/493,/competitions/ChessRatings2,None
/jeffsonas,FIDE Prize top ten (based on public score),"Hi everybody, I have finally been able to assemble a preliminary listing of the top ten for the FIDE prize. I have recently conducted a survey of who is competing for the FIDE prize, and I have identified the following ten teams: AFC, chessnuts, Nirtak, Real Glicko, Reversi, Sam Burer, Stalemate, True Grit, uqwn, Uri Blass I don't know for sure that all ten of these teams intend to document their methodology and compete for the FIDE prize, but I think they are going to. If there is anyone else who plans to compete for the FIDE prize, and is not mentioned in the above listing of ten teams, please let me know by sending email to jeff@chessmetrics.com ASAP. Even just letting me know that you are NOT competing for the FIDE prize, is very helpful, if you haven't told me already. If you are trying for the FIDE prize, I will need to know the date of submission and public score for your entry, as only one submission from each team is considered for the FIDE prize. And please note that only the top ten performing entries (based on final private leaderboard score) will be finalists, out of all eligible teams. So if you did better with your FIDE prize entry than one of the above ten teams did with theirs, you could knock them off the list and take your place as one of the ten finalists, assuming you meet the other conditions.",0,None,15 ,Tue May 03 2011 12:54:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/494,/competitions/ChessRatings2,None
/vsu1664,Main prize,"To address some recent discussions, this is just a quick confirmation that the team ""uqwn"" did not use any future scheduling in order to produce result below 0.249. Also, it appears to be more logical if not top 4 but top 10 teams will be participating in the final exercise against an independent dataset (months 136-138).",0,None,39 ,Tue May 03 2011 23:19:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/496,/competitions/ChessRatings2,5th
/cybaea,Missing first claims? [Release 1 data],"If DSFC is the time since that customer's first claim, then I would expect evey MemberID in the Claims file to have a ""0- 1 month"" entry. And 77,118 of them do, but there are 171 members with (much) later first claims. Question: Are these errors, or patients with a scrubbed earlier claim? > table(claims.Y1[, list(first.claim = min(dsfs)), by = list(MemberID)][, first.claim]) 0- 1 month 1- 2 months 2- 3 months 3- 4 months 4- 5 months 5- 6 months 77118 102 33 19 8 4 6- 7 months 7- 8 months 8- 9 months 9-10 months 10-11 months 11-12 months 5 0 0 0 0 0 > head(claims.Y1[, list(first.claim = min(dsfs)), by = list(MemberID)][first.claim != ""0- 1 month"", MemberID])[1] 100932559 113011586 113190879 124180853 130424132 13089624477289 Levels: 100021596 10005398 100059282 100063319 100074925 ... 999999313 OT: What happened to preview on this forum?",0,None,3 ,Wed May 04 2011 17:58:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/497,/competitions/hhp,109th
/wcukierski,"The ""Real"" Leaderboard","Is anybody above 0.92 or thereabouts not using Ockham's variable list? I haven't been able to come up with a feature selection method that works as well as his. If my exploration with target_practice has shown me anything, it's that better variable selection is much more important than better models/parameters. I created a ""ground truth"" variable importance metric by peeking at all 20000 labels of target practice. Instead of trying to classify on samples, I tried instead to classify on variable importance. The best method I've found is the bootstrap lasso (""bolasso""). It gets about 0.9 AUC on my ground truth using just the first 250 points. I suspect Ockham's method is closer to 0.95 (but I can't say for sure because I don't know what his predictions for tartget_practice would be). My attempts to mix my own variable estimations with Ockham's list have increased my error, indicating his list is much, much better than mine. So what does the ""real"" leaderboard look like now? Is Ockham going to release his method?",0,None,4 ,Wed May 04 2011 17:59:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/498,/competitions/overfitting,5th
/tristanz,Open source and IP,"HGN seems like a very confused group of lawyers. Today's statement is absurd. There now seems to be some exception with respect to open source licenses. Although how this matches up with the the restriction on previously published research is unclear. What does ""previously published"" even mean? If I standadize my variables before using them, have I used a previously published result? Can you confirm that, under the new rules, that if I release my prediction algorithms as open source that is fine? It seems like one way to get some freedom would be to release all the algorithms first under a very liberal license and then you can incorporate these into future work just like anybody else.",1,bronze,3 ,Wed May 04 2011 18:09:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/499,/competitions/hhp,None
/domcastro,Law confuses me so some basic questions,"Hi I'm getting confused by the laws so I am going to ask questions that are relevant to me that will just require YES or NO answers 1. Can I use R? 2. Can I use Weka? 3. Can I use Excel? 4. If I organise the data in a novel way and just use a standard processing algorithm, such as Naive Bayes, is this OK? Many thanks, this is all I need to know",0,None,30 ,Wed May 04 2011 19:34:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/500,/competitions/hhp,306th
/jeffsonas,FIDE Prize final standings,"Hi everyone, here at last are the final standings for the FIDE prize. I am including the top 11 here because I think we should have an ""alternate"" in case one of the top ten turns out not to have qualified under the rules. Team Reversi has the most accurate submission, but please remember that this does not mean team Reversi has won the FIDE prize. This contest is a blend between objective performance and subjective appeal, and the final winner is not necessarily the most accurate, if another's methodology turns out to be most simple or most appealing to FIDE. By virtue of having performed in the top ten, the following teams (Reversi, Uri Blass, uqwn, JAQ, Real Glicko, TrueGrit, Stalemate, chessnuts, Nirtak, and AFC) have apparently qualified as the ten finalists. The next stage of this FIDE Prize competition will be having the top ten document their methodology over the next week and re-run their methodology against an independent dataset. The alternate (Dave Poet) is also welcome to do this as well, in case one of the top ten turns out not to meet the conditions. Rank: Private score (Public score, Submission date): Team name #1: 0.256683 (0.256237, 04/25/2011 03:50): Reversi #2: 0.257354 (0.257094, 05/04/2011 14:17): Uri Blass #3: 0.257435 (0.257001, 05/04/2011 07:31): uqwn #4: 0.257608 (0.257411, 04/22/2011 20:42): JAQ #5: 0.257622 (0.257287, 05/04/2011 01:17): Real Glicko #6: 0.257723 (0.257482, 05/04/2011 13:11): TrueGrit --- Glicko Benchmark (using c=15.8) scored 0.257834 --- #7: 0.258554 (0.258238, 04/11/2011 00:10): Stalemate #8: 0.258950 (0.258358, 04/19/2011 11:36): chessnuts --- Actual FIDE Ratings Benchmark scored 0.259751 --- #9: 0.259901 (0.259560, 04/07/2011 05:24): Nirtak #10: 0.259947 (0.259794, 05/03/2011 12:29): AFC -------------------------------------------------- #11: 0.260296 (0.260350, 05/03/2011 14:45): Dave Poet According to the rules, you now have one week to run your same algorithm (the one identified in the listing above) against an independent dataset (known as the follow-up dataset, available on the Data page of the contest website) and submit a new set of predictions to me. You will also need to document your methodology. In the rules I also stated that you needed to provide a full log of player rating vectors, but I think this is too burdensome so I am going to make it optional. Here are the next steps: Already done: Follow-up dataset made available to everyone - see the Data page by May 11th (3pm UTC): Submit full documentation of your method to me, via email (jeff@chessmetrics.com) by May 11th (3pm UTC): Re-run your algorithm against the follow-up dataset and send me a new set of predictions for the test set, via email (jeff@chessmetrics.com) Optional, by May 11th (3pm UTC): Send a full log of player rating vectors from the follow-up run, across all months and all players, via email (jeff@chessmetrics.com) -- Jeff",0,None,20 ,Wed May 04 2011 21:24:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/501,/competitions/ChessRatings2,None
/jeffsonas,Best Submissions When Ignoring Future Information From Test Set?,"The techniques developed by some contest participants to extract useful information out of the test dataset were very useful to help win the contest, but are not useful in identifying the most accurate chess prediction algorithm. And that (identifying the most accurate chess prediction algorithm) was the main purpose for me of spending the time to set up and run this contest. Therefore I would really like to identify the best submissions that did not use any ""future information"" from the test set. This has no bearing on the contest standings but is of great interest to me (and I am sure, to others). A complex algorithm is not as useful to FIDE but they still have expressed some interest, and for other applications such as chess servers or my own calculation of historical chess ratings going back to the mid-19th century, even a complex algorithm is fine. I realize that some people, those who focused heavily on how best to use the test set data for improving predictions, might not have made submissions that completely ignored the future; if you need me to score a few submissions from the contest test set, I am happy to do that. Obviously some very spectacular results have been achieved, even without extracting useful information from the test set, and I hope people are willing to share these numbers and also hopefully document their methodologies. The main prizewinners need to do this in order to qualify for prizes but I would love it if at least the top ten could produce some level of documentation, and also hopefully help the assessment of the ""pure"" competition (i.e. the one that doesn't use the future information from the test set). I am interested in knowing: #1 Which submission was your best one that didn't use the future information from the test set? #2 Did the follow-up dataset do a better job of defeating efforts to use future information from the test set? In order to answer #1, I would either need you to identify your most promising entry by its score, or you can send me a submission set (since people can no longer submit automatically) and I can score it for you. You can email me at jeff@chessmetrics.com In order to answer #2, I would need you to prepare two sets of submissions against the follow-up dataset, using your most promising approaches. One set that used the future information and one that didn't. Please post your numbers on this forum topic, and feel free to send me submissions against either the regular contest dataset, or the follow-up dataset, so I can score them for you. I am happy to make myself available over the next couple of weeks to support this process. After that, I might just take a break from chess prediction contests for a while!! Thanks, -- Jeff",0,None,12 ,Wed May 04 2011 23:56:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/502,/competitions/ChessRatings2,None
/rkaanozbayrak,Taking the time line seriously,"It is already May 5th, 2011 UTC and we are still waiting for the new data and illuminating information regarding the treshold, leaderboard, etc. Not that a one-day delay is significant in the course of a 2-year event, but it takes away from the professionalism of the whole endevour. You should have been ready to go forward by midnight UTC yesterday. If you had too little time to get things ready, you should have announced the day as May 5, 2011, not May 4, 2011. Just my humble opinion if you are interested in how things look from a participant's point of view.",0,None,1 Comment,Thu May 05 2011 01:29:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/503,/competitions/hhp,675th
/rsankula,where is SampleEntry.csv,I couldn't find the SampleEntry.csv It is not in the HHP_release2.zip Did anyone else find it?,0,None,1 Comment,Thu May 05 2011 02:50:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/504,/competitions/hhp,298th
/breakfastpirate,Do the members need to be in the same order as Target.csv?,Do the members need to be in the same order as Target.csv when we submit our entries? Or can they be in any order?,0,None,8 ,Thu May 05 2011 03:06:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/506,/competitions/hhp,60th
/cdubois,"Y2, Y3 correlation","Hi all, I wanted to get a sense of the correlation between Y2 and Y3 for those memberIDs that are available. Below I've included a table of number of members who spent in given # of days in Y2 a given # of days in Y3 (only for those memberIDs that we observe in both years). Anybody else have similar findings? (Using R...) m <- intersect(DaysInHospital.Y2$MemberID,DaysInHospital.Y3$MemberID)ix <- match(m,DaysInHospital.Y2$MemberID)jx <- match(m,DaysInHospital.Y3$MemberID)table(DaysInHospital.Y2$DaysInHospital[ix],DaysInHospital.Y3$DaysInHospital[jx]) 0 1 2 3 4 5 6 7 8 9 10 11 0 38106 2374 1112 767 433 254 132 104 64 49 48 33 1 2591 372 217 130 65 39 26 14 14 9 8 6 2 1254 181 107 54 46 33 12 16 5 13 8 3 3 743 94 72 51 24 22 5 14 6 3 7 3 4 457 64 47 27 16 14 9 10 3 2 3 1 5 226 37 46 27 14 9 3 6 1 2 1 0 6 155 31 18 10 11 3 6 2 3 2 2 1 7 90 20 15 5 6 3 5 1 4 4 1 0 8 75 7 3 5 3 3 4 5 0 2 2 0 9 64 2 2 4 3 3 1 0 0 1 1 1 10 32 5 6 8 4 4 1 2 1 1 0 1 11 27 4 3 2 2 2 1 1 1 1 1 0 12 23 1 3 3 1 4 2 1 4 0 0 0 13 16 4 3 0 2 2 0 1 3 1 1 1 14 16 2 0 1 1 1 0 1 0 0 0 1",1,bronze,5 ,Thu May 05 2011 03:06:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/507,/competitions/hhp,515th
/salimali,Competitons Resulting in Publications - thoughts please...,"This competition is coming to an end, and before it does I would like to gather thoughts on the idea that similar competitions could be run where the top x competitors were rewarded with the invitation to write a paper on their method for publication in a journal. The peer review would be your fellow competitors via the leaderboard. Would publication in a journal be an incentive to enter? What types of data sets would you like to see? Please reply if you have any thoughts…",0,None,6 ,Thu May 05 2011 03:23:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/508,/competitions/overfitting,98th
/fordprefect0,Does Release2.zip supercede Release1.zip?,"Is the data contained in Release1.zip still relevant, or are all files superceded by Release2.zip? Should we ignore Release1.zip completely from now on? For example, in Release1.zip there's a file DayInHospital_Y2.csv which a priori should contain similar information as the file DaysInHospital_Y2.csv from Release2.zip. However, they have different formats, and don't seem directly related: the memberid 60481 from DayInHospital_Y2.csv doesn't show up in DaysInHospital_Y2.csv at all.",0,None,4 ,Thu May 05 2011 03:40:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/509,/competitions/hhp,557th
/trezza,I submission available?,"Is submission available yet? If so, where? Thanks! -Cathy",0,None,3 ,Thu May 05 2011 04:20:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/510,/competitions/hhp,504th
/chrisraimondi,Have the data sets been renumbered?,"I was trying to make sure I didn't miss any members, but there seems to be a huge lack of overlap between the member numbers from the first data set (HHP_release1.zip) and second dataset. So huge that I am guessing they were renumbered. Can someone confirm so I can go to sleep :)",0,None,1 Comment,Thu May 05 2011 05:59:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/511,/competitions/hhp,20th
/cybaea,Prediction Error Threshold - where is it?,"The Prediction Error Threshold aka Accuracy Threshold was supposed to be rekeased yesterday. Maybe I am going blind, but I can't find it?",0,None,2 ,Thu May 05 2011 08:12:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/514,/competitions/hhp,109th
/nimararora,Missing members in DaysInHospital_Y2,"I am a bit confused by the fact that certain members have claims in year 1 but no days-in-hospital entry for year 2. Does this mean that these members have 0 hospital days in year 2? For example: mysql> select Year, count(*) from Claims where MemberID=24027423 group by 1; +------+----------+ | Year | count(*) | +------+----------+ | Y1 | 5 | | Y2 | 3 | +------+----------+ mysql> select * from DaysInHospital where MemberID=24027423; +----------+-----------------+----------------+------+ | MemberID | ClaimsTruncated | DaysInHospital | Year | +----------+-----------------+----------------+------+ | 24027423 | 0 | 0 | Y3 | +----------+-----------------+----------------+------+ So, is it safe to assume that MemberID 24027423 was never in the hospital for Y2?",0,None,7 ,Thu May 05 2011 09:54:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/515,/competitions/hhp,83rd
/ssrc9486,SupLOS,"I understand that when SupLOS is 1 rather than 0, the associated LengthOfStay has been suppressed. What does this mean? What determines whether an LOS would be suppresssed, and what does this involve? Does this mean that those patients with a blank LengthOfStay and a 0 in SupLOS have spent 0 days in the unit (hospital if the claim is from inpatient/ER) and that their LOS is at least 1 day if SupLOS = 1? As LOS options range from 1 day to +26 weeks, I am confused as to why a LOS would need to be suppressed, rather than falling into one of these broad LOS options. Thanks!",0,None,5 ,Thu May 05 2011 11:00:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/516,/competitions/hhp,1333rd
/uriblass,missing information and different tyoe of information in the new data,"I compared the information in Members.csv of the new data and the old data and I found the following differences(maybe there are more differences that I still did not see) 1)memberID is not increasing in every line in the new data(unlike the old data). 2)There are memberID that begins with 0 with the new data(unlike the old data). 3)There are memberID that have no information about their age or their sex and I wonder how it is possible because I expect to have a full information of these details(there is a full information of these details in the old data). I also wonder what is the reason for the changes that now force people to change their program if their programs are based on assumptions 1,2,3 and more assumptions that they checked that they are right for the old tables but they are not right for the new tables(fortunately I still did not have time to do much programming on the tables but the little that I did about saving part of the data in memory is something that I need to change).",0,None,1 Comment,Thu May 05 2011 12:14:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/517,/competitions/hhp,340th
/mkwan7977,Team formation,"Is the interface for setting up teams - the ""Team Wizard"" - available yet? I can't find it. If I make a personal submission now, does that affect my ability to form a team later? If not, my team-mates and I would be better off working individually, since we can make more submissions that way.",0,None,3 ,Thu May 05 2011 13:01:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/518,/competitions/hhp,17th
/chrisraimondi,"Was the 30% ""Feedback Data Set"" randomly chosen?","We do not know (for good reason) which members are in the 30% of the Y4 data that is being used to compute the public scoreboard. In other contests attempts have been made to make splits such as these: even - like in the HIV contest to make each category equally represented biased towards interesting cases - I believe I read somewhere the chess contest was like that random - I am guessing the overfit contest is like that Can you confirm that the 30/70 split was totally random (not withstanding the normal ""there is no such thing as a 'truly random' number"") with no attempts to make them even, representative, or pick out interesting cases?",0,None,1 Comment,Thu May 05 2011 13:03:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/519,/competitions/hhp,20th
/toulouse,ClaimsTruncated,"Hello Maybe I have missed something obvious but what ""ClaimsTruncated"" means in the entries we have to submit? Thanks!",0,None,20 ,Thu May 05 2011 13:48:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/520,/competitions/hhp,168th
/jasontigg,Combining Different Team Predictions,"Jeff I was wondering, if it was not too onerous, whether you would be able to produce the symmetric 5x5 matrix of the binomial deviance obtained by taking the average of leaderboard team i's best submission and leaderboard team j's best submission. I think this matrix would be really interesting in terms of seeing how correlated the top 5 teams best submissions were.",0,None,3 ,Thu May 05 2011 14:52:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/521,/competitions/ChessRatings2,4th
/zachmayer,Missing values of ordered or numeric variables,"How are people dealing with missing values of numeric or ordered variables, such as DSFS, or Length of Stay? For now, I am recoding those missing values to zero, but I was wondering if there was a better solution.",0,None,4 ,Thu May 05 2011 16:40:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/522,/competitions/hhp,9th
/cybaea,Interesting submissions with scores?,"Did anybody do any interesting submissions they want to share? I submitted $p_i = 0.18584427052136$ for all $i$ giving a public score of 0.486849. If anybody has submitted all zeros, then we can calculate the mean of $a_i$ for the sample.",1,bronze,21 ,Thu May 05 2011 17:18:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/523,/competitions/hhp,109th
/del=37478cf4f027318a,blank rows of data,Do blank rows of data in data sets released by HHP mean value unknown or value is zero? How do we know data inputter did not forget to put in values? What is the average error rate for a data inputter-how often do they get data wrong ? How often do they input a wrong number or word string? Do doctors input data or staff employed by them or both?,1,bronze,3 ,Thu May 05 2011 20:06:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/524,/competitions/hhp,1081st
/zachmayer,What methods are you using?,"I'm having good results with an SVM on a sample of the data, but it's been very difficult to fit on the whole dataset. I've also tried simple linear regression, but it's less than ideal. What method are you using?",0,None,16 ,Fri May 06 2011 00:01:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/526,/competitions/hhp,9th
/onemillionmonkeys,Minor parsing issue,"Member IDs may have leading zeroes in members and claims files. For example: 02759427,40-49,M But the leading zeroes are suppressed in the ""days in hospital"" files. For example: 2759427,0,0 This could cause problems for people who treat member IDs as strings or who aren't careful in parsing those strings as integers (e.g., C routine sscanf with %i format does the wrong thing). Kaggle folks may want to clean this up with the next data release.",8,silver,5 ,Fri May 06 2011 00:32:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/527,/competitions/hhp,127th
/hyperdose,Members Table - Why did the data get worse?,"Members.CSV Question: First set of data we recieved - all 77290 members had a Sex and AgeAtFirstClaim This second set of data - we now have 113001 members and 17552 do not have a sex and 5300 do not have a value for AgeAtFirstClaim. Is it possible to get sex and ageatfirstclaim for all the members? I find it very odd, that with the new set of data we get 35711 new members but 17552 of them come incomplete? (almost 50% of the new members are incomplete?) Thanks! lana",0,None,2 ,Fri May 06 2011 00:57:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/528,/competitions/hhp,1098th
/rkaanozbayrak,"""Input string was not in a correct format""","I keep getting this error message when I try to submit, even though my entry meets all the listed criteria: Your entry must: be in CSV format have your prediction in column 3 have exactly 70,943 rows Each predicted value must be: Total number of days spent in the hospital. That is, a real-valued number in the interval [0, 15]. Where am I going wrong?",0,None,5 ,Fri May 06 2011 02:09:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/529,/competitions/hhp,675th
/del=37478cf4f027318a,what qualifications do you need to be good at doing this task?,Maths and statistics are obvious answers as well as programming and software skills.But could someone with a degree in ancient history win this competition? Or perhaps someone who has one of the illnesses listed and who has had to think about medical matters more than others? What exercises should we do to get fit for this competition?,0,None,12 ,Fri May 06 2011 15:02:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/530,/competitions/hhp,1081st
/zaccaksolutions,Submissions: Number of Digits,"""Entries will be judged based on the degree of accuracy of their predictions of DaysInHospital for Y4 (or if applicable Y5), carried to six (6) decimal places"" What happens if we submit entries that have a higher degree of accuracy? (Rounding. Ceiling or Floor?) Thanks! -H",1,None,4 ,Sat May 07 2011 01:14:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/532,/competitions/hhp,544th
/rkaanozbayrak,The Order of Memberid in Target,"I would appreciate if someone from Kaggle clarifies whether keeping this particular order in our submissions matters. It is quite difficult to rearrange the output to match this particular order. If it turns out that the submission really has to be made in this particular order, it would be a great help for one team to post their R code for it. Thank you.",0,None,12 ,Sat May 07 2011 01:52:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/533,/competitions/hhp,675th
/markwaddle,Forum needs search feature,"I apologize if someone already posted this, but I can't search to find out. :) The forum badly needs a search feature. Or I just missed it and someone needs to show me where it is. Thanks, Mark",0,None,4 ,Sat May 07 2011 08:17:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/534,/competitions/hhp,218th
/tsfhaines,Exclusivity & Publication,"Ok, people have been discussing it in other threads, but I just want to ask two questions and get two clean answers from the people runnning this competiton: 1) Is the exclusivity requirement for the code going to be dropped? I need to be able to use any code I develop quite arbitarilly, for any other purpose I see fit, not to mention what effect this has on my existing code base, that I would inevitably build upon. I typically release my code under an open source license - you are effectivly preventing that, to give just one example. 2) Are the publication rules going to be adjusted? I don't mind sensible restrictions on publishing results dependent on the data, as I can always find another problem to apply an algorithm to, but your rules currently prevent publishing the algorithm, and I can not risk being unable to publish my work. As an academic its quite simple - unless these two problems are fixed, in the terms (The assurances of the organisers on this forum are legally meaningless.), I can not participate, and I would like to know now so I can stop checking this website to find out if things have changed if the answer is no. I would also mention that the terms currently contain a fair few contradictions, my favorite of which is the implication that after each milestone everybody who has submitted an entry has to start their codebase again, from scratch. Their are also interesting potential interactions with open source licenses - that term has clearly not been thought through. I get the distinct feeling that the goals of this competition have not been clearly laid out, or that the various parties comming together to make the competion happen are ignoring them - right now there is definite disconnect between the stated goals and what the competion actually is. Also, whilst I am here, where is the error rate threshold that was meant to be published to the website a couple days ago? I can't find it.",0,None,11 ,Sat May 07 2011 11:33:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/536,/competitions/hhp,None
/chrisraimondi,Grrr - If you have 0.509697 as your score - here is what you screwed up....,"You forgot to supress the rownames in the file - so instead of submitting what you though was: 20820036 0 0.70276 14625274 1 0.026924 99227820 0 0.416635 74486714 0 0.58793 92341995 0 0.883569 7127539 0 0.993286 79094292 1 0.787652 99239152 0 0.090042 20820036 0 0.70276 14625274 1 0.026924 99227820 0 0.416635 74486714 0 0.58793 92341995 0 0.883569 7127539 0 0.993286 79094292 1 0.787652 99239152 0 0.090042 1 20820036 0 2 14625274 1 3 99227820 0 4 74486714 0 5 92341995 0 6 7127539 0 7 79094292 1 8 99239152 0 What you really submitted was: 1 20820036 0 2 14625274 1 3 99227820 0 4 74486714 0 5 92341995 0 6 7127539 0 7 79094292 1 8 99239152 0 Make sure you use the row.names=FALSE flag as in: write.csv(submission.official, file=""submission.official.csv"", row.names=FALSE)",2,bronze,2 ,Sun May 08 2011 17:30:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/538,/competitions/hhp,20th
/zachmayer,Benchmarks,"Is kaggle planning to submit some benchmark entries, as has been done in other competitions? Elsewhere in the forums is discussion of a zero benchmark, a 15 benchmark, and a constant-value benchmark. Personally, I think Jeremy Howard's best shot at this competition would be an excellent benchmark, and since he works for kaggle he could eventually release his code for all of our benefit.",0,None,8 ,Sun May 08 2011 22:55:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/539,/competitions/hhp,9th
/del=37478cf4f027318a,paydelay and poverty and time spent in hospital,As someone who is not a US citizen I would like to ask: If you take longer to pay are you poorer? If you are poorer you are more likely to be ill(I would think yes). Does more time in hospital mean they fix a richer patient (who presumably can afford the cost of a longer stay in hospital) better or that the patient was more ill? Who gets blamed most in the media for poor health care- vendors or doctors?,0,None,11 ,Sun May 08 2011 23:53:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/540,/competitions/hhp,1081st
/tatianamcclintock,30-day readmissions and unplanned admissions,"It is interesting to me that the algorithm does not address the chance of patients being readmitted within 30 days. Medicare does not pay for patients admissions readmitted within 30 days. I understand that The Heritage Provider Network wants to predict the number of days. But how do we define unplanned admissions of those? I assume unplanned admissions are those would be to focus on. I do not see any data field that would differentiate planned from unplanned admissions. I guess emergency room admissions would be unplanned by definition, but it does not have to be. Less urgent condition that a patient has not foreseen can be handled through a normal hospital inpatient admission process or a clinic.",0,None,3 ,Mon May 09 2011 00:43:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/541,/competitions/hhp,None
/markrothfuss,Variable Selection Routine,"The code posted below attempts to weight variable importance by how frequently a glmnet object made from a random selection of vars can return an AUC of 1 on the training data. I have not had luck extending this variable selection to improvement on the test data but perhaps someone else will with some tweaks. A chart during the run will start showing a separation after 2500 iterations which will be very clear by 5000 iterations. It identifies ~65 vars plus or minus for the Leaderboard targets, eg: > var.best.names [1] ""var_7"" ""var_10"" ""var_14"" ""var_15"" ""var_20"" ""var_22"" ""var_30"" [8] ""var_33"" ""var_36"" ""var_37"" ""var_38"" ""var_39"" ""var_40"" ""var_42"" [15] ""var_46"" ""var_50"" ""var_51"" ""var_53"" ""var_54"" ""var_56"" ""var_60"" [22] ""var_65"" ""var_67"" ""var_68"" ""var_70"" ""var_82"" ""var_83"" ""var_86"" [29] ""var_87"" ""var_90"" ""var_91"" ""var_93"" ""var_96"" ""var_97"" ""var_99"" [36] ""var_102"" ""var_105"" ""var_107"" ""var_110"" ""var_115"" ""var_117"" ""var_125""[43] ""var_127"" ""var_136"" ""var_142"" ""var_145"" ""var_146"" ""var_149"" ""var_150""[50] ""var_157"" ""var_159"" ""var_161"" ""var_162"" ""var_163"" ""var_174"" ""var_178""[57] ""var_179"" ""var_183"" ""var_185"" ""var_187"" ""var_188"" ""var_193"" ""var_196""[64] ""var_200"" Here is the code, when running just hit escape to end the code since it uses an infinite repeat. # LOAD LIBRARIESlibrary(glmnet)library(caTools)# SET WORKING DIRECTORY & LOAD DATAsetwd(""C:\\Users\\user\\Desktop\\Overfit"")d.raw <- read.csv(file=""overfitting.csv"",header=T)# DEFINE __TRAINING__ DATA & TARGETSd.train = d.raw[d.raw$train == 1,]d.train.target <- d.train$Target_Leaderboardd.train$case_id = NULLd.train$train = NULLd.train$Target_Evaluate = NULLd.train$Target_Practice = NULLd.train$Target_Leaderboard = NULL# DEFINE __TEST__ DATA & TARGETSd.test = d.raw[d.raw$train == 0,]d.test.id <- d.test$case_idd.test.target <- d.test$Target_Leaderboardd.test$case_id = NULLd.test$train = NULLd.test$Target_Evaluate = NULLd.test$Target_Practice = NULLd.test$Target_Leaderboard = NULL# Constantsk.alpha <- 0 # Glmnet alpha parameterk.vars <- 200 # vars in data setk.var.min <- k.vars/2 # Min # of random vars to use, Suggested range: 0 to k.vars/2k.scale <- 2 # Exponent to scale importance weightsvar.count.min <- .8 * k.vars # Count of vars for glmnet models, too high doesn't discriminate, too low can't make good modelsvar.importance <- NULL # Store variable importance weightsvar.importance[1:k.vars] <- 0 # initalize weights to 0auc.best <- 0 # init model selection parameter, usefull for when perfect models are not attainable earlyiter <- 0 repeat { iter <- iter + 1 # Select a random num of vars around k.var.min var.current.count <- max(k.var.min, round(var.count.min - 3 + order(runif(12))[1])) var.current <- order(var.importance^k.scale + runif(k.vars), decreasing=T)[1:var.current.count] # Run glmnet (or some other package), calculate train preds & AUC go <- glmnet(as.matrix(d.train[var.current]), d.train.target, family=""binomial"", alpha=k.alpha, standardize=FALSE) preds <- predict(go, as.matrix(d.train[var.current]), type=""response"") auc <- max(colAUC(preds, d.train.target)) if (auc >= auc.best^2) { auc.best <- auc # Keep track of min var count required to get 1 AUC or best.auc if (var.current.count < var.count.min) {var.count.min <- var.current.count} # Use EMA to keep track of variable importance var.importance[var.current] <- 0.99*var.importance[var.current] + 0.01 var.importance[-var.current] <- 0.99*var.importance[-var.current] # Count and generate list of most important vars var.best.count <- length(var.importance[var.importance > 0.9]) var.best <- sort(order(var.importance, decreasing=T)[0:var.best.count]) var.best.names <- names(d.train[var.best]) # Output some info and plot the sorted var weights cat(""I:"", iter, "" AUC:"", auc.best, "" Var Min:"", var.count.min, "" Var Current:"", var.current.count, "" Var Best:"", var.best.count, "" Vars:"", var.best, ""\n"") flush.console() plot(sort(var.importance, decreasing=T), ylim=c(0,1)) }}",0,None,5 ,Mon May 09 2011 05:32:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/542,/competitions/overfitting,87th
/pmajek,patients with nonzero DaysInHospital_Y2.csv but no Y2 entries in Claims.csv,"I'm not sure I understand the data properly. How is it possible that there are patients who have nonzero DaysInHospital_Y2.csv entries but without a single Y2 entriy in Claims.csv. For example a patient with ID 42286978 has the entry: ""42286978,0,2"" in DaysInHospital_Y2.csv, but in Claims.csv all entries for the patient 42286978 are from Y1. Thanks in advance for clarification, Peter",0,None,1 Comment,Mon May 09 2011 13:35:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/543,/competitions/hhp,64th
/del=37478cf4f027318a,problem uploading submission,"What does"" key already added"" mean when my submission is rejected? Do we include oir own column names for 70942 data rows?",0,None,6 ,Mon May 09 2011 17:05:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/544,/competitions/hhp,1081st
/karansarao,Length of Stay interpretation,"Would be greatful if someone can explain the LOS interpretation. for e.g. consider member 78865731 for Y1, there are 38 claim entries, and LOS populated against many of them. Obviously these are part of the same hospitalization incident else the total sum exceeds 365. My query is how do we differentiate between seperate hospitalization incidents, i.e. when to add up and when to just take Max if I want to find out for a given member simply the number of hospitalization days in that year.",0,None,1 Comment,Mon May 09 2011 18:08:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/545,/competitions/hhp,219th
/boegel,"Missing values in DaysInHospitalY4, and how they are used in scoring","In both the DaysInHospital_Y2 and DaysInHospital_Y3 datasets, several members included in the Target.csv have no value: there are 27,705 target members for which the DaysInHospital_Y2 is missing, and 21,260 target members which have DaysInHospital_Y3 missing. That's roughly 40% and 30% of the members missing a value for DaysInHospital Y2 and Y3, respectively. I can only assume that the DaysInHospital_Y4, i.e. the value we need to predict, has a similar distribution (if you will). This brings me to my question. We need to predict how many days each member in the Target.csv list will be hospitalized in Y4, and our prediction is compared to the real value only known by HPN. How are our predicted values scored for members which don't have a value for DaysInHospital_Y4? Since both the Y2 and Y3 dimensions have a significant amount of missing values, I can hardly imagine this is not the case for Y4. The ""Evaluation"" page on the HHP website doesn't mention anything about missing values. Any comments on this are highly appreciated, maybe I'm missing something obvious.",4,bronze,11 ,Mon May 09 2011 21:49:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/546,/competitions/hhp,639th
/salimali,Final Submission Instructions,"The competiton ends in a few days, but remember - the leaderboard counts for nothing! Here are the instructions on what you need to do to submit your final predictions on Target_Evaluate. 1) Check on the leaderboard to see if you have beaten the benchmark. If you have then proceed... 2) The final AUC submission should be 1 column only, ordered by case_id. There should be 19,750 rows in this file, plus a header row. The header row should be the name of your team. Please name the file AUC_your_team_name.txt 3) The variable prediction file should be 1 column with 200 rows plus a header. Each row should contain a 1 or 0. The first row represents var_1 and the last row var_200. Put a 1 if you think the variable was used and a 0 if you don't think it was used. The header row should be the name of your team. Please name the file VAR_your_team_name.txt 4) These two files should be emailed in the same email to dontoverfit@gmail.com 5) Please put your team name as the subject of the email. You should receive an automated acknowledgement saying the email was received. 6) Also in the email you need to include, Your real name and those of your team members. You won't win any money if you don't supply your real name. The team names of the 3 contestant who you think contributed most to the forum The names of the teams that you think will finish in the top 5, winner first, 5th place last. Your email should look something like this... OUR TEAM: TEAM A Mr ADAM APPLE, Mrs JENNY JONES CONTRIBUTORS: TEAM A TEAM B TEAM C WINNERS: TEAM A TEAM B TEAM C TEAM D TEAM E The submissions should arrive by Monday 23rd May. I live in Australia and will be opening the emails on Tuesday 24th, anything not in by then won't get scored. Please only send 1 submission. The first one received will be the one used. And now for some news you may find useful in predicting the winners; Ockham who kindly gave everyone a list of variables to try actually had information that these were the actual variables used. As we don't like insider trading Ockham has been banned from entering part 2. Ockham was impressed though by your efforts. Sali Mali ;-)",0,None,28 ,Tue May 10 2011 13:04:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/547,/competitions/overfitting,98th
/informationman,patients leaving hospital against medical advice,I don't know if this is possible in the US but in Germany you can leave the hospital earlier then the doctors would like you to stay (against medical advice). Maybe this correlates with follow up hospitalisations. You should consider adding this bit of information to the data. A recent study shows there are 1.65 % patients in Germany who are leaving earlier and even more in some PrimaryConditionsGroups. If a patient shows a habit of leaving earlier in some years ... this could be an indicator for later years and/or have an impact on DaysInHospital source: [Link]:I%20don't%20know%20if%20this%20is%20possible%20in%20the%20US%20but%20in%20Germany%20you%20can%20leave%20the%20hospital%20earlier%20then%20the%20doctors%20would%20like%20you%20to%20stay%20(against%20medical%20advice).%20%20Maybe%20this%20correlates%20with%20follow%20up%20hospitalisations.%20You%20should%20consider%20adding%20this%20bit%20of%20information%20to%20the%20data.%20%20A%20recent%20study%20shows%20there%20are%201.65%20%%20patients%20in%20Germany%20who%20are%20leaving%20earlier%20and%20even%20more%20in%20some%20PrimaryConditionsGroups.%20%20If%20a%20patient%20shows%20a%20habit%20of%20leaving%20earlier%20in%20some%20years%20...%20this%20could%20be%20an%20indicator%20for%20later%20years%20and/or%20have%20an%20impact%20on%20DaysInHospital%20%20%20%20%20%20source:%20http:/www.apotheke-adhoc.de/Nachrichten/Panorama/15052.html%20%20google%20translated%20source:%20http:/translate.google.com/translate?hl=en&sl=de&tl=en&u=http:/www.apotheke-adhoc.de/Nachrichten/Panorama/15052.html google translated source: [Link]:http://translate.google.com/translate?hl=en&sl=de&tl=en&u=http://www.apotheke-adhoc.de/Nachrichten/Panorama/15052.html definition: [Link]:http://en.wikipedia.org/wiki/Against_medical_advice Think about adding this information to the data,0,None,1 Comment,Tue May 10 2011 16:08:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/548,/competitions/hhp,1096th
/mitchmaltenfort,what hardware are people using?,"I'm beginning to wonder if my 16 Gig RAM, 64 bit Windows (work) box is a bit underpowered.",0,None,7 ,Tue May 10 2011 17:04:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/549,/competitions/hhp,355th
/del=37478cf4f027318a,What is the difference between days in hospital and length of stay?,What is the difference between days in hospital and length of stay? What does each of these terms mean?,0,None,9 ,Tue May 10 2011 17:11:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/550,/competitions/hhp,1081st
/tatianamcclintock,IBM Business Analytics,[Link]:http://insurancenewsnet.com/article.aspx?id=259014&type=newswires Did anyone use this IBM business analytics technology?,0,None,1 Comment,Tue May 10 2011 17:46:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/551,/competitions/hhp,None
/doc555,How to predict Year 2 Hospitalizations from Year 2 data?,"When you sum the data for year 2 patients and compare them to DaysInHospital_Y2: 1. You get 71,435 summed patient records, but only 51,965 matching patient records from DaysInHospital_Y2. Check1: (SELECT ClaimsY2.MemberID, Sum(ClaimsY2.LengthOfStay) AS SumOfLengthOfStay, Sum(ClaimsY2.SupLOS) AS SumOfSupLOS FROM ClaimsY2 GROUP BY ClaimsY2.MemberID;) - 71,435 records Check2: (SELECT DaysInHospital_Y2.*, Check1.SumOfLengthOfStay, Check1.SumOfSupLOS FROM DaysInHospital_Y2 INNER JOIN Check1 ON DaysInHospital_Y2.MemberID=Check1.MemberID;) - 51,935 records 2. 697 of those records have a days in hospital value of 1 or above with 0 Length of stay values for that patient and 0 and 0 claims truncated: (SELECT DaysInHospital_Y2.*, Check1.SumOfLengthOfStay, Check1.SumOfSupLOS FROM DaysInHospital_Y2 INNER JOIN Check1 ON DaysInHospital_Y2.MemberID = Check1.MemberID WHERE (((Check1.SumOfLengthOfStay)=0) AND ((Check1.SumOfSupLOS)=0) AND ((DaysInHospital_Y2.DaysInHospital)>0) AND ((DaysInHospital_Y2.ClaimsTruncated)=0));) - 697 records 3. 4747 records have a length of stay of 1 or above with 0 days in Hospital and 0 claims truncated: (SELECT DaysInHospital_Y2.*, Check1.SumOfLengthOfStay, Check1.SumOfSupLOS FROM DaysInHospital_Y2 INNER JOIN Check1 ON DaysInHospital_Y2.MemberID = Check1.MemberID WHERE (((Check1.SumOfLengthOfStay)>0) AND ((DaysInHospital_Y2.DaysInHospital)=0) AND ((DaysInHospital_Y2.ClaimsTruncated)=0));) - 4747 records. So how do you predict Y2 days in Hospital from Y2 claims?!? This is not by any means a trivial portion of the data for hospitalized patients. Do other people get similar results or did I have some kind of import error?",0,None,7 ,Tue May 10 2011 20:52:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/552,/competitions/hhp,418th
/teamsmrt,Supercomputer/Cluster use & lots of side notes,"My main question is this: How many of you have gotten good results because you have a computer that can do a lot of CPU cycles in a short amount of time? My motivation for asking: I'm currently trying an iterated feature selection routine that is just murdering my little laptop right now. I don't really know if it will produce good results or not, but while I'm waiting to see how it turns out I can't try any other techniques. I'm wondering if it might be worth it to spend a few bucks for a few hours of computing time on the Amazon EC2 (for those of you who don't know what that is, http://aws.amazon.com/ec2/). How many of you feel like you have gotten better results because you had the resources available to try any idea you wanted, regardless of how many CPU cycles it eats up? Since I didn't feel like starting a thread for all of these other ideas I wanted to ask about, here's a bunch of side notes that I had been meaning to get on the forum but just didn't for one reason or another. Side note #1: Have any of you used CRdata.org before? It looks like it would be really helpful for this site since everyone seems to be an R junkie here (no, I'm not affiliated with the site, I just thought I'd get some opinions before trying it out) Side note #2: The variable selection technique I'm trying is a blend of and SVMs and forward/backward passing. Basically I use the caret and e1071 packages to fit a model for each individual variable, pick the best one, and then fit another set of models including that one ""best"" variable to see which would be the next best variable to add to it. After there are two or more variables in the model, it not only checks to see if there would be any benefit to adding a variable, but it also looks to see if there is benefit in removing a varible. In this way it will hopefully approach a near optimum variable set. If you'd like to look at the code, just ask. I figured I wouldn't post it unless someone actually wants it- like I said, it's a monster that will render your computer unusable while running it (maybe not if you have more than one CPU core) and you may not actually get any results on it before the contest is over. Side note #3: This has been the most fun I've had thinking about stuff since my days doing quiz bowl in high school. Thanks for sharing all your ideas and techniques on the forums, it really made this competition interesting. I know that I'll definitely be trying more of these competitions out in the future. Side note #4: Anybody interested in joining up to make a team for the Heritage Health Prize? If you're looking for someone to work with, TeamSMRT could use seven additional members. I haven't looked at the data sets yet, but I'll bet the people who do well in this competition could do pretty well in that one. I'm also confident we could figure out a way to divide $3,000,000 in a way that makes everyone happy. Thanks, Harris (TeamSMRT's lone team member since none of my friends ended up joining)",0,None,4 ,Tue May 10 2011 23:03:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/553,/competitions/overfitting,57th
/salimali,Inserting R code into a blog with syntax highlighting,"A cry for help, Zach used github to post some R code into his blog with what looks like syntax highlighting, but not sure if it is true R highlighting. [Link]:http://moderntoolmaking.blogspot.com/2011/04/parallelizing-and-cross-validating.html I've also found this site that generates HTML. You can specify the language but I can't see R on the list. [Link]:http://tohtml.com/auto/ Does anyone know of any easy to use alternatives? Cheers, Sali Mali",0,None,6 ,Wed May 11 2011 02:40:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/555,/competitions/overfitting,98th
/dansbecker,Merging claims to members,"When I merged the claims table and the members table, I didn't find any members without claims. Are others finding the same thing? If so, why is that? Surely there were members who didn't use medical care. Thanks, Dan",0,None,11 ,Wed May 11 2011 04:07:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/556,/competitions/hhp,2nd
/del=37478cf4f027318a,leaderboard scores and technique,Do people with very similar leader board scores use very similar techniques of analysis.There are 12 people with 0.46.What can we conclude about how they are doing this competition? If you have participated in a competition like this one before: in a few weeks time how much lower do you expect the leader's score to get?,0,None,10 ,Wed May 11 2011 15:18:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/557,/competitions/hhp,1081st
/del=37478cf4f027318a,"Using Tableau 6.0 to ""see"" data",How useful are the visualisations given by the Tableau 6.0 software for this competition? Will many people be using Tableau 6.0?,0,None,1 Comment,Wed May 11 2011 15:28:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/558,/competitions/hhp,1081st
/zachmayer,Feature selection,"We're coming down the the wire here, and I've still yet to find a good feature selection routine. Anyone willing to share some code, or am I on my own here?",0,None,15 ,Wed May 11 2011 22:11:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/559,/competitions/overfitting,59th
/zaccaksolutions,Claims: Length of Stay missing values?,"Anyone else notice there are no length of stay values of ""8-12 weeks"" or ""12-26 weeks"" in the release 2 claims table? Is this right? Seems odd.",1,bronze,11 ,Thu May 12 2011 05:35:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/560,/competitions/hhp,544th
/yassertabandeh,Instance selection,"Removing “bad” instances from training set may help classifiers (especially SVMs) to avoid overfitting. (Take a look at the blue and red points on picture of this competition’s logo) I did a trial and error effort on practice set and found that removing some instances from train set can improve AUC more than 0.02 on test set, but the problem is how to detect these instances. Like feature selection a supervised or semi-supervised method is required. I thought similarity can be a good measure for instance selection, but when I used Euclidian distance (based on Ockham’s variables) and excluded 10 instances with less similarity to test set, the AUC dropped. Is there anyone else who tried instance selection?",2,None,4 ,Fri May 13 2011 09:58:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/563,/competitions/overfitting,4th
/salimali,what's the chance of this?,Just noticed a bit of congestion in the middle of the leaderboard...,0,None,2 ,Fri May 13 2011 11:58:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/564,/competitions/overfitting,98th
/toulouse,Does DaysInHospital only concern the claims made the year before?,"I ask this question because the following sentence can be confusing: DaysInHospital_Y : Days in hospital, the main outcome, for members with claims in Y1",0,None,3 ,Fri May 13 2011 17:20:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/565,/competitions/hhp,168th
/zaccaksolutions,Members: Missing Members,"Just curious, why are there members in the DIH but not in the Member data? 124472 unique members in DIH tables (Y2,Y3,Y4) 113000 unique members in Member table Even if they didn't have an age and gender, I would of still expected them to exist in the member table. Thoughts?",0,None,11 ,Sat May 14 2011 03:03:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/566,/competitions/hhp,544th
/tansoei,what software packages is allowed?,"I have just registered, and still feeling my way around. What software packages are allowed? E.g. Rattle, Microsoft Bayesian Network, Google refine, can these be used for the composition? Can we use any function from the Cran-Project? How do we know if, say an algorithm like evolutionary computation has won an competition in the past somewhere, and cannot be used here?",0,None,1 Comment,Sat May 14 2011 04:58:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/567,/competitions/hhp,608th
/jeffsonas,Main Prizewinner Documentation,"Hi everyone, here are the writeups that I got from the top five finishers regarding their methodology. First a few comments, though: Tim Salimans provided [Link]:http://people.few.eur.nl/salimans/chess.html of his writeup, including lots of useful hyperlinks to other references and also providing his code. So you probably should go there for a more interactive experience, or to see his Matlab code, but I also wanted to have everyone's writeups in PDF format here, so I created a PDF out of it that was just the methodology description without including the code. I changed his opening paragraph accordingly in the PDF. Sami (Shang Tsung) declined to participate in this last stage of documentation and running against the follow-up datasets, so he is not eligible for his 2nd place prize (and thus the prizes reach down to #5 uqwn instead). He did email me a couple of paragraphs about his approach and so I built a PDF out of that text. It appears he actually didn't do too much future scheduling so it's a shame we don't have more details, or a submission for either the contest or the follow-up dataset that has all mining of the test set removed. Andy Cotter (Team George) was kind enough to adhere to my suggested format for documentation, as I had constructed using the Glicko documentation as an example. On the other hand that led to a large file, and so just as with Tim, I am only providing here the writeup about methodology while I try to figure out how to present the remaining parts of the file. Jason Tigg and David Clague (PlanetThanet) were able to provide several pages of detail about their methodology but I think they are planning to provide additional detail soon as well. So I am including their first writeup here, but we may update the PDF later. Special thanks to Vladimir Nikulin (Team uqwn) for providing a writeup and follow-up submissions for both his main prize entry, and also his FIDE prize entry. I hadn't anticipated that someone would qualify in both categories and have to do both tasks within the same week after the contest ended, so I appreciate Vladimir completing all that. He was also the only person to win a prize in the main competition of this contest and also the previous contest. Apologies to anyone if I am not presenting your documentation effectively, but I do want to get these out to the larger audience while people are still somewhat engaged with the contest. Please let me know if there is anything you would like me to change, or if you have a new version of your writeup for me to post. Here are the five PDF files: [Link]:http://www.chessmetrics.com/KaggleComp/1-TimSalimans.pdf [Link]:http://www.chessmetrics.com/KaggleComp/2-ShangTsung.pdf [Link]:http://www.chessmetrics.com/KaggleComp/3-George.pdf [Link]:http://www.chessmetrics.com/KaggleComp/4-PlanetThanet.pdf [Link]:http://www.chessmetrics.com/KaggleComp/5-uqwn.pdf",0,None,2 ,Sat May 14 2011 13:51:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/568,/competitions/ChessRatings2,None
/uriblass,translating strings to numbers,"I hate strings and I wonder if there is a program that simply translate all the strings that we have in the data to integers when different strings get different integers(when the program treat both 0234 and 234 as the same 234 integer). A missing number in a column can be translated to -1(or to a different number that is not in the column(if the column include also -1 when the program tell me that some number means missing value) The program should also generate files that explain the meaning of the numbers in every column(except columns that include only numbers) for example in 6th column of claims.csv it may generate file with the following content claims.csc Anesthesiology=0,Diagnostic Imaging=1,Emergency=2,... I think that it is going to be easier if people who participate in this conmpetition do not need to deal with strings and the need to deal with strings is part of the reason that so far I did not make a submission in this contest.",0,None,6 ,Sun May 15 2011 11:24:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/569,/competitions/hhp,340th
/wmestrom,Trainingset cross-validation scores,"Hi everyone, I'm having some strange results, perhaps due to my own faults but perhaps others are seeing the same thing... In order to find the right learning parameters for my models I'm currently using a very simple cross-validation setup. For a given set of parameters I train my model on Y1 claim data and Y2 days in hospital and then make predictions for Y3 days in hospital from the Y2 claim data. In a separate run I train my model on Y2 claim data and Y3 days in hospital and then make predictions for Y2 days in hospital from the Y1 claim data. I optimize my learning parameters in order to minimize sum of RMSLE's of both predictions. The problem is that somehow this seems to have hardly any correlation with the final public scores of the resulting submissions (submissions are made by training on one year only for now, which year doesn't really matter although year 1 seems to give slightly better scores). Some results CV leaderboard0.462 0.4670.460 0.4690.455 0.470 This makes it very hard to make any improvements since you never know wether it is going to be an improvement on the leaderboard. Does anyone recognize this? Or perhaps does anyone have a better setup where there is good correlation between a trainingset cross-validation score and the public leaderboard score? Willem",0,None,7 ,Sun May 15 2011 15:32:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/570,/competitions/hhp,1st
/torneus,An issue with the scoring code,"I seem to have uncovered a bug in the code that scores entries. It completely ignores the member IDs in column 1, and just assumes that the predictions in column 3 go in the same order as the members in Target.csv (the file published with the data). The reason I know this is because I submitted one and the same entry yesterday in today. In yesterday's file, the members were ordered by increasing member ID, and today I used the same ordering as in Target.csv. Today's submission got a better score than yesterday (0.477 vs 0.500). Kaggle - is this something that you guys are going to fix? If no, you should at least clearly spell this out on the submissions page (""The patients in your entry must go in the same order as in the sample entry"", etc. etc.) If you don't, you are giving an unfair advantage to competitors that know to order their predictions correctly.",0,None,1 Comment,Mon May 16 2011 03:40:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/571,/competitions/hhp,547th
/del=37478cf4f027318a,leaving competition - can't  query arge amounts of data on my server,I am quitting the competition because it is so difficult to query large amounts of data on the server I use. I haven't got one entry in yet because I spend a my time breaking up files into smaller units and piecing them together again. I can't even export the entry form from my database in one piece.,0,None,7 ,Mon May 16 2011 16:15:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/572,/competitions/hhp,1081st
/jeffmoser,Any interest in a SQLite version of the dataset?,"We thought about releasing the second dataset as a single compressed SQLite database instead of a set of CSV files. I ultimately decided against this thinking that it might add too much complexity to importing the data into your favorite set of tools. However, after seeing some discussion from competitors, it seems that many people are just importing the CSV data into a database as their first step. Therefore, I'd like to get your feedback for future data drops on these questions: 1.) Would a SQLite version of the dataset have been more convenient for you than the CSV files? and a similar question: 2.) Would you have been able to read a SQLite version of the data just as easily as the CSV files? My main concern is that I didn't want to prevent anyone from reading the data. Thanks in advance for your feedback!",0,None,19 ,Mon May 16 2011 16:34:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/573,/competitions/hhp,None
/launeric,question regarding days_in_hospital_y2,"For memberid=76307074 In daysInHospital_y2 table, DAYSINHOSPITAL=3 In Claims table, all the YEAR=Y1, and the only entry has LENGTHOFSTAY for 76307074 is 1 day 1)So it mean memberid=76307074 makes no claims inY2? 2)If a member does not make any claim on Y2 and have stayed in hospital in Y2 Does it mean most likely the member makes the claims let say in Dec and stay in the hospital in Jan or something like that?",0,None,1 Comment,Mon May 16 2011 21:50:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/574,/competitions/hhp,1278th
/jeffsonas,Follow-up Solution Set,"Hi everyone, I am starting to wrap up the final phase here. I supported the process of scoring follow-up solutions for a couple of weeks so that we could double-check and investigate the performance of prizewinners' methodologies on a similar (but different) dataset. The files for that (except the solution) can be found on the Data page (see writeup at the bottom of that page) and the solution set can now be found here: [Link]:http://www.chessmetrics.com/KaggleComp/follow_up_solution.zip Note that this file only lists the real games; the spurious games (which you can see make up 75% of the games) are omitted from this solution file. Upon learning about the ""future scheduling"" trick a couple of weeks ago, I saw that there was a strong correlation in the actual contest test set between a player's average quantity [player rating - opponent rating] and their average quantity [actual pct score - predicted pct score]. I tried to defeat this via my introduction of additional spurious games targeted at breaking this correlation, and I think it was pretty effective at defeating participants' use of future scheduling to improve their score. A bit late, of course, but still effective. UPDATE: The follow-up solution is now attached [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1113/follow_up_solution.zip",0,None,1 Comment,Tue May 17 2011 21:37:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/575,/competitions/ChessRatings2,None
/tcash21,Length of Stay from claims table to predict Days in Hospital?,Doesn't this feel like cheating to anyone else? The Length of Stay from the claims data had to be collected after the patient was discharged and a hospital would not have that information when a patient presents. I'm assuming we cannot use Length of Stay to predict Days in Hospital for the target members?,0,None,3 ,Tue May 17 2011 22:08:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/576,/competitions/hhp,None
/ihbicmu,Interpretation of DSFC,"Does a null value in the DSFC indicate the first claim of a given patient in any year? We find a number of patients with null values suggesting there must be some rule for the assigned values; however, many patients have a value in each of their claims in the dataset. Is every patient assigned a DSFC for the first claim in a year?",0,None,1 Comment,Wed May 18 2011 13:30:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/577,/competitions/hhp,None
/ihbicmu,Age at First Claim -- How is it handled over time and category?,"Age at first claim – Is this value set within the three year timeframe of the data or does it precede this dataset? For example, if a patient had its first claim 3 years before the start of this dataset (Y1) and they were 19, will the value for age at first claim in our data set be 10-19 or 20-29?",0,None,1 Comment,Wed May 18 2011 13:32:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/578,/competitions/hhp,None
/ihbicmu,Resubmissions -- are they in the data set two times?,"Are resubmissions in the dataset? For example, if payment on a claim is rejected and it is resubmitted with some modification, will both claims appear in the dataset?",0,None,1 Comment,Wed May 18 2011 13:33:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/579,/competitions/hhp,None
/adamhurwitz,key for claims data,Is there a primary key for the claims data? There is no claim id and it doesn't seem like a simple combination of fields is unique.,0,None,3 ,Wed May 18 2011 17:02:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/580,/competitions/hhp,None
/jeffmoser,Tips for beautiful math posts,"I added support for [Link]:http://www.mathjax.org/ in these forums. MathJax is a JavaScript plugin that converts specially formatted text into nice looking math in most browsers. MathJax supports two major modes: The first is ""inline mode"" which allows you to put math right in line with normal text. For example, you can say that π≈3.14 and e≈2.71. To achieve ""inline mode"", you need to prefix your math with the three characters \ \ ( and then suffix the math with the three characters \ \ ) The second is ""display mode"" which will put the math on a separate line for display purposes like this: Jα(x)=∞∑m=0(−1)mm!Γ(m+α+1)(x2)2m+α or (nr)=n!r!(n−r)! You can prefix ""display mode"" math with the two characters \ [ and then suffix with \ ] or alternatively use a double dollar sign $ $ for both prefix and suffix. Inside either mode you can use LATEX math mode notation. More details on this notation can be found [Link]:http://en.wikibooks.org/wiki/LaTeX/Mathematics. One benefit of using JavaScript to render the math is that you can simply look at the HTML source of a post to see exactly how the math was written (i.e. use your browser's ""view source"" feature on this page to see how the above equation was typeset). I picked the prefix and suffix characters so that they wouldn't cause any confusion with other text (i.e. accidentally turning code into math) but I'm open to feedback to tweak them if something else would be easier.",41,bronze,27 ,Thu May 19 2011 16:30:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/581,None,None
/launeric,dsfs null question?,"When dsfs is null, does it mean the info is missing? Or it implies Zero?? -Thanks",0,None,1 Comment,Thu May 19 2011 23:49:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/582,/competitions/hhp,1278th
/cybaea,Submission blues….,"Has anybody else seen this error message when submitting and figured out what it means? Field index must be included in [0, FieldCount[. Specified field index was : '2'. Parameter name: field Actual value was 2. Am I the only one who thinks the message is more than a little cryptic?",0,None,2 ,Fri May 20 2011 11:04:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/583,/competitions/hhp,109th
/jwdatagirl,Submission App problem?,"I have successfully submitted several entries however this evening am unable to submit. i get an error that says i have a format problem but i don't believe i do--exact same format as other submissions, i confimed it. is something broken with the app perhaps?? anybody else have trouble recently?",0,None,7 ,Sun May 22 2011 00:59:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/584,/competitions/hhp,425th
/del=37478cf4f027318a,Is my score luck or skill?,What score would I need to get to know I am getting the right patients by skill rather than luck? What score do I need to prove I am getting any patients right at all? Can someone who is not top of the 30 per cent leaderboard be in reality winning by a large margin? If this can be true what is the point of the leaderboard?,0,None,2 ,Sun May 22 2011 19:18:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/585,/competitions/hhp,1081st
/del=37478cf4f027318a,Which data columns are most important for a high score?,"Which data columns do people think are most important for this competition? For me the PrimaryCondition,AgeAtFirstClaim and CharlesonIndex columns matter most. And the days in hospital year three too.These allow many basic calculations to be made that seem to correspond to common sense.I find the other columns a bit cryptic eg. DSFS and Vendor.How many columns would I need to win this competition.Presumably the fewer I use the better my insight into the data would have to be.",0,None,1 Comment,Sun May 22 2011 19:27:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/586,/competitions/hhp,1081st
/lesley,Lesley's Offer,"To all my colleagues, For 25 years I have been a computer programmer/ analyst working with hospital admissions data, however, I have decied to leave my job and sail around the Pacific Ocean on a small sailing boat. The boat will be too small to carry computers and I expect I will have limited further opportunity to work on my algorthythm. My score is poor (74th after 11 submissions with a score of [Link]:http://www.heritagehealthprize.com/c/hhpLeaderboard#0.485629). I believe this is due to be my poor statistical analysis skills rather than lack of understanding of admission patterns. I am not sure if by supplying the links (below) you will gain access to my score data- but give it a go. Submission File Public Score Fri, 20 May 2011 05:56:43 [Link]:http://www.kaggle.com/c/27597/DownloadSubmission/27597.zip 0.485629 Tue, 17 May 2011 01:08:24 [Link]:http://www.kaggle.com/c/27422/DownloadSubmission/27422.zip 0.485629 Mon, 16 May 2011 03:23:18 [Link]:http://www.kaggle.com/c/27383/DownloadSubmission/27383.zip 0.486176 Sun, 15 May 2011 23:49:05 [Link]:http://www.kaggle.com/c/27367/DownloadSubmission/27367.zip 0.486329 Sat, 14 May 2011 23:49:52 [Link]:http://www.kaggle.com/c/27322/DownloadSubmission/27322.zip 0.486004 Fri, 13 May 2011 07:14:11 [Link]:http://www.kaggle.com/c/27020/DownloadSubmission/27020.zip 0.492027 Thu, 12 May 2011 01:31:24 [Link]:http://www.kaggle.com/c/26808/DownloadSubmission/26808.zip 0.505451 Wed, 11 May 2011 04:45:29 [Link]:http://www.kaggle.com/c/26689/DownloadSubmission/26689.zip 0.490508 Mon, 09 May 2011 22:57:27 [Link]:http://www.kaggle.com/c/26492/DownloadSubmission/26492.zip 0.522226 Sun, 08 May 2011 04:46:37 [Link]:http://www.kaggle.com/c/26312/DownloadSubmission/26312.zip 0.497909 Sat, 07 May 2011 04:06:47 [Link]:http://www.kaggle.com/c/26242/DownloadSubmission/26242.zip 0.846610 What I am offering is my 'burden of disease' index. It is my best estimate of the degree of sickness of each person. The number is between 0 to 1300 and does not yet incorporate sex, Dob, CharlsonIndex. but I think that is the next step. I will provide a ''burden of disease.csv' file with 3 fields:- MemberID, DiseaseBurden (integer), PredictedDaysInHospitalY4 (real) If you incorporate my work into your solution, I require academic acknowledgement by you,and also 1% of any winnings. If you think it is shit, please don't flame me , but rather be polite and let me down gently. Lesley [Link]:mailto:Lesley@moobaa.com",0,None,1 Comment,Sun May 22 2011 23:28:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/587,/competitions/hhp,896th
/turbo11361,Decrease time interval for submissions,Since you have other (hidden) data for final results. You shouldn't care too much about exploration of test data. I just experimenting for now and I don't want to wait 12 hours to test other solution. I think time interval in 10-30 minutes will be good compromise. Thank you. UPD: Or second option is just provide some small subset from fourth year. In this case participants could write their own scoring system to check effectivness of solution at home.,0,None,12 ,Mon May 23 2011 14:05:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/588,/competitions/hhp,1349th
/teamsmrt,Just to save everyone some time:,"Here's a package to read all the .png image files into R: [Link]:http://cran.r-project.org/web/packages/png/index.html I'm not sure what to do from there, but I suspect that I will estimate the PSF from the star image, use it to deconvolve the galaxy image, and create some way to measure ellipticity from there. PCA comes to mind, as the first two components should fall along a galaxy's axes. The two associated eigenvalues could be used to estimate ""a"" and ""b."" At least that will be where I will start. I don't have any good ideas for how to correct for the gravitational lensing of the dark matter. From my interpretation of the problem, deconvolving the galaxy image only reduces the blur and noise, but not the gravitational lensing of dark matter. Is there a way to correct for something unobservable and which we know nothing about? Are we supposed to assume that the gravitational lensing is constant for every galaxy? That just doesn't seem reasonable to me.",1,bronze,18 ,Mon May 23 2011 21:53:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/590,/competitions/mdm,46th
/dansbecker,Including previous year's days in hospital in model,"Hi, I had a model where I used the previous year's claims table to predict days in hospital. Adding the previous year's ""days in hospital"" to the model significantly improved the fit in the training data (from year 3), and it improved the fit in year 3 data I set aside for cross validation. But it signifantly worsened the fit in the year 4 target. I of course used the year 2's days in hospital to forecast year 3, and used year 3's days in hospital when forecasting year 4. I imputed 0's for individuals who did not appear in the previous years days in hospital table. Would anyone care to speculate if there's some sort data issue explaining this surprising pattern? Thanks, Dan",0,None,4 ,Tue May 24 2011 01:28:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/591,/competitions/hhp,2nd
/michael9274,What is the relation between LengthOfStay and DaysInHospital?,"Hello, I hope I am not repeating a question. Please refer me to the topic it was dealt with if I do. Looking, as an example, at member ID 75590378 it appears that there are two hospitalizations during Y2 according to the claims file. When trying to confirm that data in the DaysInHospital_Y2 file I can't find that memberID at all. The inverse mapping also doesn't seem to work. I would appreciate an explanation. Thanks Michael",0,None,2 ,Tue May 24 2011 02:26:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/592,/competitions/hhp,767th
/salimali,Results - AUC,"Congratualtions to everyone - hope you all enjoyed this competition and got something useful out of it. Here are the results of the AUC part. The top 3 teams are (in alphabetical order are) Jose_Solorzano SEES (Roger Guimerà, Marta Sales-Pardo, Gonzalo Guillén-Gosálbez) Tim.Salimans If these teams would be so kind as to prepare a description of the techniques you used and post in this forum thread (then subsequently on the Kaggle blog), I'll then announce the order of the top 3. The scores for everyone else who submitted are... cole_harris 0.9293 Brian_Elwell 0.9264 Outis 0.9248 PRIM 0.9240 tks 0.9184 grandprix 0.9134 statovic 0.9072 Zach 0.9031 IKEF 0.8953 Eu.Jin.Lok 0.8917 D.yakonov.Alexander 0.8898 GSC 0.8868 Yasser.Tabandeh 0.8867 E.T. 0.8864 William.Cukierski 0.8709 NSchneider 0.8678 nadiavor 0.8677 Shea_Parkes 0.8471 OilPainter 0.8388 mkozine 0.8272 Forbin 0.8251 Bourbaki 0.7388 Bernhard.Pfahringer 0.6966 Vrici 0.5956 Jason_Noriega 0.5279 FINE 0.5143 Suhendar_Gunawan 0.5080 TeamSMRT 0.5007",1,None,20 ,Tue May 24 2011 12:11:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/593,/competitions/overfitting,98th
/salimali,Results - Variable Selection,"In the evaluation equation, there were only 55 variablers used, far fewer than in the leaderboard (108) or practice (118) equations. With the scoring scheme, the maximum score is 200 for correctly identifying all the variables, and the minimum is -200 for incorrectly identifying all the variables. And the winners are... Team Score VariablesChosen Jose_Solorzano ??? 50 SEES ??? 59 Tim Salimans ??? 51 (again - you might as well detail your variable selection methods in the same write up for the AUC part, and then I'll let you know the final order) And the scores for the other competitors are, Team Score No. Variables Chosen grandprix 130 52 tks 130 40 IKEF 104 65 D'yakonov Alexander 100 77 OilPainter 100 29 Shea_Parkes 100 85 Yasser Tabandeh 94 80 cole_harris 82 96 PRIM 80 99 statovic 74 100 Jason_Noriega 70 12 Outis 62 108 E.T. 58 100 nadiavor 58 104 mkozine 58 104 Brian_Elwell 46 116 GSC 40 121 NSchneider 8 113 Eu Jin Lok 6 140 fine -10 110 Bourbaki -14 106 Suhendar_Gunawan -22 114 Vrici -36 127 Bernhard Pfahringer -38 132 Forbin -60 91 TeamSMRT -126 140 William Cukierski -134 148",0,None,6 ,Tue May 24 2011 13:11:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/594,/competitions/overfitting,98th
/paulprice,"Multiple entries, different methods?","Hi Tom. We're testing multiple shape measurement algorithms for the LSST/HSC pipeline (I think we've got 5 or 6 so far). Can we submit each of them independently? Or do we have to simply choose the best? Thanks, Paul.",0,None,5 ,Tue May 24 2011 16:05:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/595,/competitions/mdm,21st
/patternengine,Exchange of Good Ideas,"So, I figure we should have a thread for sharing thoughts/ideas about how we're getting good prediction results. Of course, no one wants to give away the secret edge that's going to win them the prizes :-) But there are clearly also going to be a range of 'standard' ideas that everyone will end up figuring out and using. If we pool them here on the forum, we can all benefit and get on with working on cleverer/sneakier approaches. To put my money where my mouth is, here are some things I've learned so far: Generating informative sets of features seems pretty important, straight off the bat. I've found the following features to be informative. Sex, Age, nDaysInHosptial (previous year) And from the claims data for the previous year: total nClaims, nCharlsonIndex of each category, Counts of primary conditions, Counts of procedures, Counts of placeSvc, Counts of speciality There may also be a benefit from also using the same features two years previous to thetarget values, but the effect seems pretty small. (I feel like there's more one could do with the Claims data, but there are issues with large number os features) Method-wise, I've started with simple linear regression (with stepwise feature selection). I'm pretty sure this is too restrictive to be useful, but it's very handy for data exploration. I'll be trying out some more interesting models in the near future. I hope this is useful to people. If you would like to reciprocate, that would be awesome :-) And if this thread gets going, I'm happy to keep contributing my thoughts to it, as I think we'll all benefit from it. *braces for deluge of useful responses*",2,bronze,14 ,Tue May 24 2011 17:07:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/596,/competitions/hhp,105th
/ijvaughn,Noise distributions,"Have the noise distributions been characterized more than ""Poisson with some Gaussian and bad pixels?"" What is the ratio of Gaussian to Poisson? What is the ratio of (bad pixels) to (total pixels)? Is the telescope PRF (point response function) linear over the pupil? If so, is it the typical ""airy disc"" scalar response for a circular pupil? What are the atmosphere assumptions? non-linear (spatially) varying index of refraction? Some constant Gaussian blur?` Cheers",0,None,8 ,Tue May 24 2011 23:30:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/597,/competitions/mdm,None
/markhays,Who owns the rights to our HPN Competition entries?,"Who owns the rights to every entry in the HPN Competition? I asked this question at the start of the HPN / Kaggle competition. According to the rules on the website, it appears that HPN and Kaggle will own full rights to every entry in the competition -- including worldwide sales, with no compensation to the developer(s). On 15 April, I received an email from Anthony Goldbloom (Kaggle), saying that he was going to check with HPN. I did not receive any follow-up, however. Fundamentally, it appears that the ""License"" section of the agreement would give HPN and Kaggle the unlimited right to sell any ""algorithm"" or software used by any competitor who joins the Heritage Health Prize competition, whether they win a prize or not. I can see granting a license to HPN for their internal use, as the sponsor who funded the competition. Asking every competitor to grant a free license that would allow HPN (and Kaggle) to sell our work worldwide -- with no royalties -- is something else. Was this the intent of the agreement? If not, it needs to be clarified. Anyone who has done serious work in predictive analytics knows the value of their IP -- and will refuse to participate. Please let all of us know if this issue has been clarified. Mark Hays",0,None,10 ,Wed May 25 2011 03:24:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/598,/competitions/hhp,None
/ftw11339,SupLOS=1 but LengthOfStay non-NULL,"Question to the organizers (or anyone who knows). The following line is taken from Claims.csv: 00529616,1727574,340953,11593,Y2,Internal,Outpatient Hospital,23,1 day,8- 9 months,METAB3,3-4,SCS,1 The last column says that LengthOfStay is NULL because of suppression, but the LengthOfStay field says ""1 day"". This is the only such inconsistency in the entire file. Is there a chance the SupLOS field have been shifted or otherwise been misplaced? If I understand correctly, this field didn't exist in the first data set.",1,bronze,3 ,Wed May 25 2011 06:48:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/599,/competitions/hhp,457th
/salimali,And The Winners Are...,"I am please to announce the winners. The same three teams were at the top in each part with Tim Salimmans the AUC winner, Jose Solorzano the variable selection winner with SEES not always the bridesmaid, as they were confident enough to back themselves and win the contest for predicting the winners! Tim just about takes the overall title, with only 1 variable in it - otherwise it could have been a 3 way tie! Zach and TKS were the peoples choice for contributing most to the forum - thank you both for your efforts. Hope you all enjoyed this - I certainly did.And if you want to discover what the secret formula was in the data, read the winners posts on how they did it, there is no hiding anything from good data scientists! Team AUC Tim Salimans 0.94298 SEES 0.94079 Jose Solorzano 0.93954 Team Var Selection Score Jose Solorzano 138 SEES 132 Tim Salimans 132",5,None,13 ,Wed May 25 2011 14:09:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/600,/competitions/overfitting,98th
/astrotom,Prize Update,"Some more details on the prize. (prize fund recently increased from $1000 to $3000). The costs cover travel to the meeting, accommodation and reasonable local expenses. The meeting is at NASA JPL, Pasadena and is between 26th and 29th September 2011. A website for general registration for this conference will be available from 13th June onwards.",0,None,11 ,Wed May 25 2011 16:35:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/602,/competitions/mdm,None
/zachmayer,Getting started,"This is a very different competition from the other ones I've participated in on Kaggle. Does anyone have any advice for getting started with the analysis? It seems like some people have made constant value predictions, but not much beyond that. Will traditional machine learning techniques work on this problem? We're trying to predict ellipticity, given some data with distortion and noise, but it seems like there's no ""true"" data to use to train an algorithm. So far, I can use the png package TeamSMRT provided to turn an image into an R matrix, but I'm stuck at this point.",0,None,18 ,Wed May 25 2011 19:32:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/603,/competitions/mdm,None
/davec6371,$3M or $500K?,"Hi. Until recently, I've been thinking 'wow, there is a US$3M prize' for first place! However now I'm telling myself to revise my enthusiasm downwards... since it seems to me likely that no-one is going to beat the required 0.4 accuracy threshold. Hence the prize is really just US$500k. Not bad.... but not enough to retire on :( After nearly a month of submissions, the rate of improvement is already heading towards an asymptote that isn't 0.4. The best today is 0.461113. Admittedly we are still to get some more data supplied. But realistically I don't think that we're going to be able to get down to 0.4. That target is just too hard... Any other opinions? Personally I'd be happy to bet at 5-1 odds today that by the end of the competition no-one exceeds 0.4. Any takers? (eg, I put up $50, you put up $10) Dave",0,None,17 ,Thu May 26 2011 01:41:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/604,/competitions/hhp,313th
/aristotle137,mdm_training_solution.csv file,"Does the mdm_training_solution.csv file contain the correct ellipticity (i.e. ground truth) for the training set or just an example of how the solution should be formatted? I obviously guess the former, but in this case what is the difference between mdm_example_entry.csv and mdm_example_training.csv? They both seem to exemplify the same thing. Thanks, Marius",0,None,27 ,Thu May 26 2011 04:41:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/605,/competitions/mdm,5th
/smark11436,"Will the large numbers of days in hospital be generalized into a group of ""15+ days""?","The question is addressed to the organizers, it's about Scoring Data Set (as well as Feedback Data Set). Does it have only ""15"" for large numbers, or it has actual numbers of days spent in hospital?",0,None,1 Comment,Thu May 26 2011 15:42:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/606,/competitions/hhp,561st
/uriblass,R questions,"1)What is the best tutorial to learn the relevant parts of R for this competition 2)Is there a function in R to do binary search(note that I found that I can use order to replace the order of lines to have one vector in non decreasing order Members<-read.csv(file=""Members.csv"",head=TRUE,sep="","") OrderMembers<-Members[order(Members$MemberID),] Now the question is if I want to find the place of MemberID 78832045 in this file by binary search then how do I do it in R. I need to find 22222 in this example because OrderMembers$MemberID[22222]=78832045 but I want to do binary search and use the fact that OrderMembers$MemberID is an increasing sequence.",0,None,48 ,Thu May 26 2011 19:25:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/607,/competitions/hhp,340th
/nem2511679,Team creation,We are a group of people wishing to participate in the competition as a team. Do we first 'Enter the Competition' individually and then create the team or must we create it before clicking the 'Enter the competition' button. I could not find the Team Wizard anywhere.,0,None,9 ,Thu May 26 2011 23:55:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/608,/competitions/hhp,None
/ejlok1,Some resources for newbies to get started,"Hi Alot of us have absolutely no knowledge in this field what-so-ever, but I believe great discoveries can come from all walks of life. I'd love to give this a go and may I ask if anyone knows of any good articles to get me started? Here's one I found: [Link]:http://www.eclipse.net/~cmmiller/DM/ Thanks Eu Jin",0,None,2 ,Fri May 27 2011 05:52:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/609,/competitions/mdm,3rd
/ahassaine,matlab code for computing UWQM,"Hi there ! Here is a matlab code for computing the UWQM. For mdm_galaxy_training_1.png I am getting e1=-0.0032 and e2=-0.0026. However, according to mdm_example_training.csv, I am supposed to get e1=-0.193511 and e2=0.142878. Have you guys been able to replicate these values ? im=imread('mdm_galaxy_training_1.png');im=double(im);width=size(im,1);height=size(im,2);x_average=0;y_average=0;sumI=0;for y=1:height for x=1:width x_average=x_average+x*im(y,x); y_average=y_average+y*im(y,x); sumI=sumI+im(y,x); endendx_average=x_average/sumI;y_average=y_average/sumI;q11=0;q12=0;q22=0;for y=1:height for x=1:width q11=q11+im(y,x)*(x_average-x)*(x_average-x); q12=q12+im(y,x)*(x_average-x)*(y_average-y); q22=q22+im(y,x)*(y_average-y)*(y_average-y); endendq11=q11/sumI;q12=q12/sumI;q22=q22/sumI;e1=(q11-q22)/(q11+q22)e2=(2*q12)/(q11+q22)",0,None,11 ,Fri May 27 2011 09:31:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/610,/competitions/mdm,3rd
/wcukierski,Are we **sure** the ground truth is correct?,"Apologies, but I'm still hung up on whether the ground truth is correct. When I make a set of predictions, the error is (somehat) invariant to permutations of the answers. i.e. either my guesses are complete junk or the ground truth is complete junk. I've tried 3 methods of deconvolution and 3 ways to estimate ellipticity. When you made the answers, did you ensure the files were sorted numerically (1,2,10) as opposed to the standard file system sorting (1,10,2)?",0,None,6 ,Fri May 27 2011 19:33:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/611,/competitions/mdm,45th
/stephennerhodes,distribution of light from the galaxy,Are we to assume that one sersic function has been used for all the galaxy images or there is some kind of renadom distribution. I presume when doing such an experiment for real that one would select a suite of galaxies with similar sersic models. Is this the case here?,0,None,6 ,Fri May 27 2011 21:19:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/612,/competitions/mdm,None
/inference,Data checksums,Can someone confirm the MD5 checksums of the data files for me? I'm not sure if I've got a corrupted download and also I don't know if I have the correctly updated version of the truth data. My MD5s are: b12c2773bdb880b4025be28b987fcc93 great10.pdf 9721f2fa4b4e2ae812b64ec7985eebda mdm_example_entry.csv 54cc54a5026dacc60d5289bbbd5632d2 mdm_example_training.csv 2431420c3c0f12a903d5e8c810e08d5d mdm_images.zip ce3858c09243b4fd203b862b7488e585 mdm_training_solution.csv Do these match yours? Thanks.,0,None,9 ,Fri May 27 2011 23:22:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/613,/competitions/mdm,None
/jeffmoser,Updated training solution and rescore,"Thanks to [Link]:/users/3258/william-cukierski's statistical analysis (and others too) in a previous [Link]:/c/mdm/forums/t/611/are-we-sure-the-ground-truth-is-correct, we discovered that the training solution and solution used for the leaderboard calculation were incorrect. Thomas sent me an updated solution set and I updated the solution used to make leaderboard calculations. (Note: the example UWQM files seem to have been in the correct order all along). In addition, I re-scored all previous submissions and updated the leaderboard. Any submissions from now on will use the updated solution for scoring. I also uploaded the new training solution as ""mdm_training_solution_sorted.csv"" Due to the timezone differences, Thomas won't be able to double check things for several hours, but I wanted to go ahead and post the preliminary updates now because they give a very interesting update to the competition. As you can see from the leaderboard, team ""Fire on Wires"" is clearly leading the pack! It appears that getting below ""0.05"" requires analysis of the images whereas above ""0.15"" is achievable by just doing some basic statistical analysis of the training solution. As I mentioned, Thomas will double check things before we make it official, but you're all welcome to check things against the latest training solution file to see if things seem better now. Sorry about the confusion and inconvenience this has caused.",0,None,4 ,Sat May 28 2011 04:18:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/614,/competitions/mdm,None
/darragh0,Waiting Times To Go into Hospital,"I'm from Australia. We have waiting times for elective surgery. Does America have such a policy? If so this could have an impact when patients were to be hospitalized. Any response from HHP Admin would be appreciated. Thanking you, Jim",0,None,2 ,Sun May 29 2011 13:47:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/615,/competitions/hhp,855th
/karansarao,Building models on the cloud,"I am facing serious problems running R on my IBM 64 bit with only 4 GB RAM, run out of memory very soon, which is getting frustrating as I know I can extract just that little bit more if I can get the computation done without worrying about memory or CPU usage. Is it possible to run R on Amazon's cloud service, i.e. rent a windows/linux instance (preferably 64 bit) with much higher memory, has anybody done this? More importantly what would the cost of doing say 12 hour modeling runs a few times a week? Can Kaggle wangle us a discount ? should be good publicity for Amazon (better than using the cloud to hack into Sony!)",0,None,25 ,Mon May 30 2011 14:43:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/616,/competitions/hhp,219th
/ryanmorrisroe,Clarification Request on Data Dictionary,"Is there any way we can get a clarification on the definition of CATAST? It's the only diagnosis group that doesn't have any codes associated with it, and ""multiple codes"" isn't very helpful. Thanks, Ryan Edit: As a followup, in the original paper the groupings are no clearer than what is given by Kaggle, so I no longer expect any clarification from this front.",0,None,2 ,Mon May 30 2011 22:37:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/617,/competitions/hhp,481st
/cybaea,Missing DaysInHospital_Y2 for MemberID 24027423,"We seem to be missing member 24027423 in DaysInHospital_Y2.csv (he has claims that year, so should be there) -- can you give us the days for that member in that year?",0,None,6 ,Tue May 31 2011 15:47:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/620,/competitions/hhp,109th
/del=92525096498f3bbd,Is it okay to use mySQL to store the data? ,"I was planning on stroing the data on a local harddrive. Thanks, Aniket",0,None,6 ,Tue May 31 2011 18:07:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/621,/competitions/hhp,None
/jjjjjj,GNU GENERAL PUBLIC LICENSE,"Since R is released under GNU GPL and lots of people are using R for this contest, I assume, in general, using (free) software released under GPL is probably ok? Link: http://www.gnu.org/copyleft/gpl.html",0,None,3 ,Tue May 31 2011 22:46:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/622,/competitions/hhp,113th
/del=92525096498f3bbd,Existing Algorithms,"What are some existing algorithms which do predict number of days in hospital? Like i have used WEKA software before and know the process of data mining. But, am compeletely clueless when it comes to this particular domain.",0,None,2 ,Wed Jun 01 2011 05:37:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/623,/competitions/hhp,None
/darragh0,Submission Data ?,"When uploading Submission data in the form as laid out as in the ""SampleEntry.csv"". What Year is the data compared to when assessing the accuracy using the error formula? HPN advice appreciated. Thanking you, Jim",0,None,1 Comment,Wed Jun 01 2011 15:06:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/624,/competitions/hhp,855th
/martinoleary,Strange pixels,"I've noticed that in some of the images (e.g. training galaxy 28, attached), there are central pixels which have a value of zero, while their surroundings have much higher values. Am I right in thinking that these are the result of a wrap-around error, and that they should have a value of 256? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1121/mdm_galaxy_training_28.png",0,None,5 ,Wed Jun 01 2011 19:11:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/625,/competitions/mdm,4th
/zachmayer,My code,"I did a writeup of the code I used and my results on my blog, if anyone is interested. Everything's written in R, so it will be easy to replicate. [Link]:http://moderntoolmaking.blogspot.com/2011/06/kaggle-competition-walkthrough-wrapup.html",6,bronze,2 ,Wed Jun 01 2011 23:42:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/626,/competitions/overfitting,59th
/timcotten,Do the images have a consistent center coordinate?,"Are all images (stars and galaxies) centered on a specific pixel coordinate? I should qualify this and say ""before distortion"" - in other words, are all stars *supposed* to have their brightest points be at a given constant coordinate, or are we supposed to infer a potential center for it and its associated galaxy?",0,None,6 ,Thu Jun 02 2011 01:25:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/627,/competitions/mdm,None
/sgerber,Image Analysis vs. Machine Learning,"I was wondering if anybody would be willing to share if they obtain their results through: 1. Purely image based analysis, i.e. denoising and fitting some sort of ellipse 2. Purely learning based approach on raw images. 3. Combination of the two. Thanks for any feedback. Sam",1,None,17 ,Thu Jun 02 2011 17:58:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/628,/competitions/mdm,10th
/mitchmaltenfort,Lab and Rx: are you kidding?,"the big reveal...# of distinct tests, and # of distinct prescriptions. Not even a breakdown by type. Oh dear. I'm gonna play with this a bit more next week then stick to my National Inpatient Sample. Sheesh.",2,bronze,13 ,Sat Jun 04 2011 04:41:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/631,/competitions/hhp,355th
/fordprefect0,Dataset release 3 issues,"Here's a list of issues I've discovered so far with the new dataset: 1) In the Claims.csv file, some of the ID numbers have extra zeros in front compared with release 2, but there are no changes to any of the values. 2) The DaysInHospital_Y2.csv has one extra row for MemberID 24027423 3) The new DrugCount.csv file contains some entries which don't correspond with Claims.csv 210,Y3,7- 8 months,1 210,Y3,8- 9 months,1 210,Y1,4- 5 months,1 210,Y3,5- 6 months,2 A I understand it, there should be claims for MemberID 210 appearing in Claims.csv for those particular year and DSFC combinations, but they are missing. The other rows of DrugCount.csv have a corresponding claim in Claims.csv. (Addendum) That last sentence isn't actually true. I've just looked at the data again, and there are a lot more MemberIDs where 3) applies. It turns out that every one of those MemberIDs have ClaimsTruncated=1 in the DaysInHospital csv files. I suppose this means that the claims were anonymized, but the drug count data associated with them wasn't. This raises a few questions: Is the drug count data complete for all members, or did DrugCount.csv get anonymized as well? Either way, the missing claims can be used to obtain a better estimate of the true number of claims for those members :-)",1,bronze,11 ,Sat Jun 04 2011 08:03:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/632,/competitions/hhp,557th
/misiek,corrupted ground truth??,"In mdm_training_solution_sorted.csv file (which is the ground truth for the e1 and e2 parameters) there is a description for a galaxy with id=11. This galaxy is referenced to the following files: mdm_star_training_11.png (which desrcibes a PSF function) mdm_galaxy_training_11.png, which is the simulated galaxy (blurred and noisy) Based on definition of ellipticity put on this site, after some basic equation manipulation, I can find the true theta angle. In particular: tg(2 * theta) = e2/e1 This means, that for 11th galaxy, theta should be approx. -35.3 degrees (minus 35.3 degrees). Ok, now take a look into galaxy image. The theta angle obviously is not -35 degrees - it is about +48 degrees. This value was obtained manually after some less or more advanced image processing (galaxy is pretty nice :) ) Something is wrong here - either images are mistaken, or ground truth (the ""...sorted.csv"" file), or equations for ellipticity... or I made a mistake. Can anybody confirm that ground truth file is correct and images are correct? I just want to know... Anyhow, if you take a look at the 11th galaxyimage, even without processing, it is clear, that theta angle is positive. To be clear - the theta angle is the angle from ""ox"" axis to long ellipse (galaxy) diagonal. Ok, i will atach the processed galaxy file. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1129/mdm_galaxy_training_11_restored.png",0,None,2 ,Sun Jun 05 2011 14:46:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/633,/competitions/mdm,44th
/vanushvaswani,Naive method not working?,"Hello, I am an undergrad but this competition sounds interesting as I want to learn about image processing. Well firstly, I decided wanted to get some answers that are at least close to the training solution so I would know whether I'm in the correct ballpark. What I did: Load training galaxy Load training star Crop training star and subtract 55 Remove noise from training star using medfilt2 mat2gray training star Lucy deconvolution of (galaxy subtracted by 90) and the training star (now a PSF) Remove noise from deconvolved image Calculate UWQM. The ellipticity values I get are for training #11 are: e1 = -0.1602 and e2 = -0.4566 This is way off the actual values of e1 = -0.10228 e2 = 0.290302, which has an ellipse in completely different direction I'm just wondering where I have made the incorrect assumption? Please be kind :P [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1130/11_test.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1131/11_psf.png",0,None,6 ,Sun Jun 05 2011 16:49:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/634,/competitions/mdm,47th
/katardin,What if...,Someone won by doing randint for all of the predictions. That would blow all of your little statistician minds.,0,None,1 Comment,Sun Jun 05 2011 23:48:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/635,/competitions/hhp,None
/salimali,plotting the leaderboard in R,I cobbled together some R code that will plot the live leaderboard and show you where you are. If you can enhance this or make it more efficient then please let us know. [Link]:http://anotherdataminingblog.blogspot.com/2011/06/scraping-up-leaderboard.html,0,None,9 ,Mon Jun 06 2011 23:58:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/636,/competitions/hhp,1st
/peterkorinis,Neural Network Software Packages,"I apologize in advance if this is a stupid question. it seems that a neural network would be ideally suited to this type of problem, though it might not provide the accuracy needed to win. i have read all the posts in the forum, many centered around sophisticated analytical tools like R ... but i've seen nothing on use of neural network packages. what am i missing? is anyone using NN software? why not?",0,None,7 ,Tue Jun 07 2011 00:59:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/637,/competitions/hhp,None
/jeremya,"As far as we can tell, the early leaders don't have a background in healthcare...","Looking to connect with any others working on this prize that do have a background in healthcare. My Profile: http://www.heritagehealthprize.com/users/8752/jeremya 12+ years of healthcare performance management and accountability decision support using fincanial, statistical and clinical data. Any folk with similar experiences working on this problem? Please post a link to your HHp profile here. Thx Jeremy",0,None,6 ,Wed Jun 08 2011 03:04:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/638,/competitions/hhp,1184th
/seyhan,Target Attribute of Training dataset?,"Hi, I have to say in the out start that I am coming from machine learning side of data mining and never involved an image mining before,- apart from taking a therotical multimedia data mining subject at uni, such as image processing to covert image(s) into tabular form and then appy them to a ml model. I find the competition very interesting and like to participate in it. But I have a poblem. The issue for me is to identify the target attribute in the training dataset. They are all images. I read same explanations on e1, e2, (I think they are eigenvalues of given images). But what if I miscalculate the e1 and e2 in the first place, then my model would predict the values of e1, e1 incorrecty, since target attributes for training calculated incorrectly. Best Regards, Seyhan",0,None,2 ,Wed Jun 08 2011 05:18:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/640,/competitions/mdm,None
/andydm,"Submission status - ""Pending"", score not calculated","Hi, Yesterday I've made my third submission and still waiting score results. With submissions #1 and #2 score was calculated immeaditely, but now status is ""Pending"" and not changed. Today I have re-submit my solution, but with same result. I have download files back and compared with previously uploaded solutions - nothing different (except the values, of course). Separator is "","", decimal symbol is ""."", 60001 rows. What can be wrong? AndyDm.",0,None,2 ,Wed Jun 08 2011 07:25:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/641,/competitions/mdm,52nd
/ssrc9486,"Are the members table, claims table, DIH tables different in Release 3?","It is not just the labs table and prescriptions/drugs table that have been released, but also all the other tables. Is this because the other tables have been updated? Should I only use the claims table from release 3, or can I continue using it from release 2, to which I have added all my analyses. Thank you! Sam",0,None,3 ,Wed Jun 08 2011 13:09:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/642,/competitions/hhp,1333rd
/ssrc9486,DrugCount? count of drugs or prescriptions?,"Is the drug count referring to 1. the count of drug types taken over the year (e.g. 3 = aspirin and inhaler and hay fever tablets), or 2. the number of prescriptions over the year (e.g. 3 = 2 paracetamol prescriptions and 1 inhaler prescription)? The HPN data files page says the RxTable (which I assume is the DrugCount table) contains ""certain details of prescriptions filled by members"" - is there not an automatic record of their count of prescriptions/drugs? If it is 2. then it seems a bit much to ask patients to recall how many prescriptions they had over the past year. Thank you!",0,None,2 ,Wed Jun 08 2011 13:18:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/643,/competitions/hhp,1333rd
/vanushvaswani,A Primer on Machine Learning,"I notice people are getting good scores by incorporating 'machine learning' in this problem. Unforunately, I have no experience in this field. Would anyone be so kind as to recommend a good primer on it?",0,None,3 ,Wed Jun 08 2011 15:07:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/644,/competitions/mdm,47th
/daggerfs,Convolution kernel types?,"Do we have any principled knowledge about the convolution kernel used to blur the images, other than the pixelized star images? I am thinking of an isometric Gaussian (or a skewed Gaussian), but am wondering if this is the right assumption.",0,None,4 ,Wed Jun 08 2011 19:44:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/645,/competitions/mdm,30th
/jldml7810,Using Weka on large data-sets,"Hi, Could someone share ideas on how to train the algorithms implemented in WEKA on large data-sets and not have it run out of memory? Is it possible? Right now, the largest training data-set size I have managed is that of 2000 instances and it's not serving very well. Any help or suggestions in this regard would be appreciated. Thanks in advance!",0,None,5 ,Wed Jun 08 2011 21:28:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/646,/competitions/hhp,837th
/pabloruggia1,Forum Rank Feature,"Hi ! I noticed that some posts show the rank of the user in the competition. For example, for Chris Raimondi, it shows that he is in second place in hhp competition. But for others, there is no rank even if they have made submisions, for example Zach, who is currently 112, doesn't show any rank in his forum posts. Is this a bug or a feature (you only show the rank for the top X people)? Thanks !",0,None,3 ,Wed Jun 08 2011 23:38:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/647,None,None
/mattfornari,Cases missing Sex and Age code in release 3,"Just started working on this so sorry if this has been addressed already. Why are so many cases missing Sex codes? Around 15% are missing, seems like an important and easilly discerned variable. Is there a procedural reason they are missing? Additionally, is there any reason behind cases missing Age codes? Missing cases for both seem like significant predictors. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1132/agebysex.jpeg",0,None,26 ,Thu Jun 09 2011 22:57:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/648,/competitions/hhp,61st
/rickyjames,Bad Data ???,"I have waited until the Release 3 data set was out to start working on this contest. I haven't made a submission yet because I have instead been taking a deep dive into the R3 data set to check it out and get a feel for it. Now I am at a halt because I am convinced the R3 data set has serious inconsistency problems. Try this. Open the DaysInHospital_Y3 in Excel and do a sort on MemberID, smallest to largest. Verify that MemberIDs 14552 and 68150 are not even listed as valid entries for Y3, that MemberIDs18190 and 55259 spent zero days in the hospital, and that MemberID 55920 spent 5 days in the hospital. Designate these MemberIDs as Exhibit A. Next verify that HHP is saying that MemberIDs 416310 spent a single day in the hospital during Y3. Designate this as Exhibit B. Now verify that HHP is saying that MemberIDs 158589, 314883, 320038, and 463091 all spent a single day in the hospital as well during Y3. Designate these Member IDs as Exhibit C. Now let's look at the Claims data for these ten MemberID (just how to accomplish this is up to you...) In the total set of all claims made by Exhibit A MemberIDs, all five show a single hospitialization claim for one day in Y3: 14552 2206422 505451 18175 Y3 Internal Urgent Care 30 1 day 1- 2 months GIBLEED 0 SDS 0 18190 3584092 593413 93067 Y3 Surgery Ambulance 73 1 day 2- 3 months NEUMENT 2-Jan SDS 0 55259 9311197 168707 30569 Y3 Surgery Ambulance 0 1 day 8- 9 months ARTHSPIN 0 SDS 0 55920 9121540 523791 58880 Y3 Emergency Urgent Care 65 1 day 1- 2 months HEART2 0 SDS 0 68150 7520858 441329 821 Y3 Internal Outpatient Hospital 29 1 day 0- 1 month ARTHSPIN 0 SRS 0 For the MemberID of 416310 in Exhibit B, there are two seperate claims in Y3 showing one day of hospitalization each for a total of two days (note one claim is SDS, the other is SCS): 416310 8253892 258154 97143 Y3 Internal Urgent Care 31 1 day 0- 1 month TRAUMA 0 SDS 0 416310 8253892 258154 97143 Y3 Internal Urgent Care 31 1 day 0- 1 month TRAUMA 0 SCS 0 Finally, for the MemberIDs of Exhibit C, there are no claims at all that show any hospitialzation in Y3. In fact, for these four MemberIDs there are no Y3 claims at all of any kind, only Y1 and Y2 claims. Bottom line, for none of these MemberIDs do the Claims data and the DaysInHospital data match up right. This is only ten examples, I logged over 1300 such discrepancies in Y3 alone before I quit counting. Can somebody from Heritage Health please verify this mishmash is what we are really truly supposed to be analyzing? Or am I TOTALLY off base here somehow?",1,bronze,6 ,Mon Jun 13 2011 22:53:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/651,/competitions/hhp,861st
/doc555,Making a Submission - Order Important?,"I have made several submissions and gotten what I perceive to be very puzzling results. Do you have to make your submissions in the same order as the sample? I figured that if you entered a submission and had the patient ID number in the first row, claims truncated in the 2nd row and your prediction in the 3rd row, it didn't matter what order your IDs were in. If you have to make your submissions in the same order as the sample my results begin to make sense to me. It could be that I am hopelessly lost, but after very discouraging initial results, I have vastly simplified my model, and I really can't imagine it is less predictive than a constant value. If it is, c'est la guerre...",0,None,5 ,Wed Jun 15 2011 15:20:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/652,/competitions/hhp,418th
/jeffmoser,Forum Suggestions,"The competition forums have been really important for sharing ideas, but I realize there are some bugs/issues/annoyances people are facing with the forums as well as lack of certain features. I'd like to consolidate all the suggestion discussion to this topic to make sure I haven't lost track of things. Here's what I have so far: Make sure text never overflows in a forum (Fixed: 16 Jun 2011) Better copy and paste, especially from Excel (Update: Seems to be a Chrome issue as IE works ok) Improve formatting of quick reply (Fixed: 16 Jun 2011) Indicate unread posts (Partial: 17 Jun 2011) Make it easier to include images in posts Improve R syntax highlighting Better search features Ability to ignore topics Are there other ones you think are important? Please feel free to add them here. Thanks!",1,None,4 ,Wed Jun 15 2011 19:04:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/653,None,None
/chrisraimondi,Why so quiet?,"Why so quiet - What is everyone up to? I am starting to get annoyed at my CPU fan and hard drive noise. I can sort of tell where in the code my CPU is based off of the CPU fan noise. Also I think I am going to get an SSD drive. [Would probably also help if it wasn't located three feet from my head] Other than that - trying to find new features and better algos and trying to clean up and organize code. Just starting really R Studio - I think I like it - should be much neater looking than the 16,000 line disorganized TextPad file I am working with now. I want to try doing some multicore R stuff - so far I have just been manually launching multiple instances. And then maybe even give the Amazon EC2 stuff a try. How about the rest of you - any goals/objectives/frusterations you care to share?",0,None,13 ,Mon Jun 20 2011 20:04:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/654,/competitions/hhp,20th
/jldml7810,LengthOfStay values observation,"Hi So far, I haven't been able to locate any data instance with a LengthOfStay value= 8-12weeks or 12-26weeks. Could someone tell me if this is a correct obeservation? And if it isn't could you please point me to a data instance (as in, with values for all the Claims attributes or whichever additional attributes you may choose to include - it helps in making searching easier :-) )? Thank you.",0,None,3 ,Tue Jun 21 2011 18:43:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/655,/competitions/hhp,837th
/sja5779,Publication and Usage of the Dataset,It seems that this competition has very restricted license term. Can anyone answer for the following questions? 1. Can one publish or give a talk on the method developed for or used in the competition? 2. Can one use the dataset for other research works in academia apart from the competition? Thank you.,0,None,1 Comment,Tue Jun 21 2011 21:47:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/656,/competitions/hhp,138th
/blacksou,Can we use information from Y4?,Each time you make a submission the prediction error rate gives you useful information about Y4 so is it ok to use this information?,0,None,1 Comment,Wed Jun 22 2011 11:46:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/657,/competitions/hhp,622nd
/chrisraimondi,Getting pretty fancy with the new features....,Cool stuff. I like the notes on the leaderboard! FWIW - A little trick I learned to prevent the CSS caching issue... Just rename the CSS every time you update it - that way it forces the browser to download the new version.,0,None,3 ,Fri Jun 24 2011 00:25:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/659,/competitions/hhp,20th
/jeffmoser,Benchmark Suggestions?,"Today I updated the site to allow for multiple benchmarks on the leaderboard to help give you an idea of where your submissions rank relative to some basic ideas (i.e. submitting the example entry, submitting an entry with all zeros, etc). In addition, each benchmark has a special graphical designation (to stand out) and a brief description of how you can get that benchmark score. Do you find these benchmarks to be helpful? If so, can you think of additional ones that I should add? I'm definitely not looking for anything that would give away a big discovery of yours, but just some basic techniques to fill a few more spots on the leaderboard. This question is slightly related to the "" [Link]:http://www.heritagehealthprize.com/c/hhp/forums/t/523/interesting-submissions-with-scores/3195#post3195"" forum topic, but in this case I'm looking for basic techniques that can be completely described in a sentence or two and are easily reproduceable using a variety of tools (Excel, R, etc.).",0,None,15 ,Fri Jun 24 2011 01:44:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/660,/competitions/hhp,None
/jeffmoser,"The ""Optimized Constant Value"" Benchmark","(NOTE: The description below is not new insight, but rather is an expansion upon an [Link]:/c/hhp/forums/t/523/interesting-submissions-with-scores/3695#post3695 by [Link]:http://www.kaggle.com/users/971/allan-engelhardt. This post is effectively notes I took while reading his post. All of the credit goes to him for this technique. If I've made a mistake, all the errors within belong to me) I've just added an ""Optimized Constant Value Benchmark"" to the leaderboard which represents approximately the best score you can get with a constant value of approximately 0.209179. This approach has been used by several competitors and many have exceeded it already. To understand this benchmark, we need to look at the evaluation metric for this competition which is the Root Mean Squared Logarithmic Error (RMSLE): ϵ=√1nn∑i=1(log(pi+1)−log(ai+1))2 Where: ϵ is the RMSLE value (score) n is the total number of members pi is your predicted DaysInHospital value for member i ai is the actual DaysInHospital value for member i log(x) is the natural logarithim of x We'd like to know an optimal p constant value such that if we make a submission where all pi=p, we'll get a decent score on the leaderboard for the RMSLE evaluation. This would roughly be the best possible score you could get without looking at any individual member data because this approach tries to identify an ""average"" member. One good place to start in the process of finding an optimal p is to try p=pi=0. This is exactly what the ""All Zeros Benchmark"" does. I'll call this score ϵ0. If we look at how it's calculated, we see: ϵ0=√1nn∑i=1(log(0+1)−log(ai+1))2 =√1nn∑i=1(log(1)−log(ai+1))2 =√1nn∑i=1(0−log(ai+1))2 =√1nn∑i=1(−log(ai+1))2 =√1nn∑i=1(log(ai+1))2 To keep things compact, I'll use the ""bar"" notation to denote the mean (average). That is, ¯P=1n∑ni=1pi. This gives us: ϵ0=√¯log(ai+1)2 ϵ20=¯log(ai+1)2 By looking at the public leaderboard, we see that ϵ0≈0.522226: ϵ20=0.5222262≈0.272720=¯log(ai+1)2 Thus, we can figure out average squared logarithm value (plus 1) for the public leaderboard's ai's Things get interesting if we compare another constant submission. The leaderboard also has an ""All 15's Benchmark"" which is a score obtained by submitting a constant value of p=pi=15 for each member. Let's call this score ϵ15: ϵ15=√1nn∑i=1(log(pi+1)−log(ai+1))2 =√1nn∑i=1(log(15+1)−log(ai+1))2 =√1nn∑i=1(log(16)−log(ai+1))2 =√1nn∑i=1(log(16)−log(ai+1))(log(16)−log(ai+1)) =√1nn∑i=1(log(16)2−log(16)log(ai+1)−log(ai+1)log(16)+log(ai+1)2) This simplifies to: ϵ15=√1nn∑i=1(log(16)2−2log(16)log(ai+1)+log(ai+1)2) We can square both sides: ϵ215=1nn∑i=1(log(16)2−2log(16)log(ai+1)+log(ai+1)2) We can use our ""bar"" notation for averages to simplify this: ϵ215=¯log(16)2−¯2log(16)log(ai+1)+¯log(ai+1)2) We know that the average of a constant value is the constant value itself, so this simplifies to: ϵ215=log(16)2−2log(16)¯log(ai+1)+¯log(ai+1)2) In addition, we learned earlier that ϵ20=¯log(ai+1)2, so we can substitute that in to obtain: ϵ215=log(16)2−2log(16)¯log(ai+1)+ϵ20 We can rearrange terms: 2log(16)¯log(ai+1)=log(16)2+ϵ20−ϵ215 and then divide each side by 2log(16): ¯log(ai+1)=log(16)2+ϵ20−ϵ2152log(16) We'd really like to solve for ¯ai. This is where we step into some dangerous territory from a mathematical perspective. We can calculate exp(x)=ex on each side, but this approach is misleading because it won't really tell us the true ¯ai but rather a somewhat optimal value for an average based on our error metric. We'll blissfully ignore this for now and press on: exp(¯log(ai+1))=exp(log(16)2+ϵ20−ϵ2152log(16)) ¯ai+1=exp(log(16)2+ϵ20−ϵ2152log(16)) ¯ai=exp(log(16)2+ϵ20−ϵ2152log(16))−1 Again, by looking at the leaderboard, we know that ϵ0≈0.522226 ϵ15≈2.628062 Thus, we can calculate ¯ai: ¯ai=exp(log(16)2+0.5222262−2.62806222log(16))−1 ≈0.209178645003481 What's really interesting about this approach is that you can use any other non-zero constant value (p) submission along with its public leaderboard error (ϵp) and you should get the same ""optimized"" constant value by calculating: ¯ai=exp(log(p+1)2+ϵ20−ϵ2p2log(p+1))−1 Now, a few words of caution: It's critical to realize that the calculated ¯ai≈0.209179 value is not the real mean value for DaysInHospital. Instead, it is a constant value that is useful only in the context of this contest's evaluation metric. A better approximation for the real mean value can be obtained by finding the mean of Y2 and Y3. Note that both ϵ0 and ϵ15 came from the public leaderboard values which represent approximately 30% of the solution set. The other 70% is used in the private leaderboard and thus will be used to calculate your real final scores. Thus, there is a chance that this ""optimized"" constant will be different than had we calculated it based off the complete solution set. Just by looking at the leaderboard, you can tell that a constant value submission will not put you in the running for any prizes, so you'll actually have to look at the data :) Regardless, I thought this technique was a clever approach to the data. Thanks again to Allan for [Link]:/c/hhp/forums/t/523/interesting-submissions-with-scores/3695#post3695.",1,None,5 ,Fri Jun 24 2011 23:29:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/661,/competitions/hhp,None
/ccccat,GREAT10,I am wondering if anybody decided to participate in GREAT10 directly. The data set looks so big that I am not sure I have a hardware to handle it.,0,None,6 ,Sun Jun 26 2011 18:01:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/663,/competitions/mdm,2nd
/boooeee,Cross Validation Discrepancies,"I'm finding that there seems to be a consistent gap in what I would expect my leaderboard score to be (using cross validation) vs. my actual score. For example, my most recent (and best) score is from a fairly straightforward Random Forest model. The leaderboard score is 0.468123. However, when I use the default cross-validation approach from that Random Forest model (average error on the OOB samples), I get an expected score of 0.4506299. I'm still a bit of a novice when it comes to machine learning, but I was wondering if anybody else was experiencing a similar gap. Or is this just systemic to cross-validation? Anybody getting better scores than what they expect?",0,None,17 ,Sun Jun 26 2011 21:45:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/664,/competitions/hhp,16th
/chrisraimondi,Contribute an R Function,"I thought it might be nice to have a way to share R functions that are useful for this contest. So I will start with a simple one... This is a function you can use before submitting your prediction - it corrects any prediction less than 0 or more than 15. You can also change it as needed. [quote]cutOff <- function(x, y=0, z=15){ x <- ifelse(x < y, y, x) x <- ifelse(x > z, z, x) x } > -15:20 [1] -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 [33] 17 18 19 20 > cutOff(-15:20) [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 15 15 15 15 15 > cutOff(-15:20,0.01,14.99) [1] 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 1.00 2.00 3.00 4.00 5.00 [22] 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 14.99 14.99 14.99 14.99 14.99 14.99",1,bronze,39 ,Mon Jun 27 2011 22:51:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/666,/competitions/hhp,20th
/gestaltgeber,1.47708,Under Information you find the following: Our own internally developed prediction model scores an RMSLE of 1.47708. Your submission should at a minimum beat this prediction to be eligible (see our Rules as well). On the Leaderboard you can find: Optimized Constant Value Benchmark This entry represents the best possible score you can probably get using a constant value of 1.750998229. This constant value was derived by analyzing some characteristics of the evaluation metric. It represents the best possible score you're likely to get without actually analyzing the data. ... with a RMSLE of 1.47708 Does this mean Wikipedias internal prediction model is a constant value? Or are there some numbers mixed up?,0,None,1 Comment,Tue Jun 28 2011 19:11:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/667,/competitions/wikichallenge,None
/jeffmoser,Importing the data into SQL Server,"While preparing the dataset, we used both MongoDB and SQL Server to get a good feel for the types of tools people might use to store the data for this competition. Here's an example of my SQL Server schema: USE [wikichallenge] GO CREATE TABLE [categories]( [category_id] [tinyint] NOT NULL, [category] [varchar](17) NOT NULL ); CREATE TABLE [comments]( [revision_id] [int] NOT NULL, [comment] [nvarchar](257) NOT NULL ); CREATE TABLE [namespaces]( [namespace_id] [tinyint] NOT NULL, [namespace] [varchar](14) NOT NULL ); CREATE TABLE [titles]( [article_id] [int] NOT NULL, [category] [tinyint] NOT NULL, [timestamp] [datetime] NOT NULL, [namespace] [tinyint] NOT NULL, [redirect] [bit] NOT NULL, [title] [nvarchar](247) NULL, [related_page] [int] NULL ); CREATE TABLE [training]( [user_id] [int] NOT NULL, [article_id] [int] NOT NULL, [revision_id] [int] NOT NULL, [namespace] [tinyint] NOT NULL, [timestamp] [datetime] NOT NULL, [md5] [varchar](32) NULL, [reverted] [bit] NOT NULL, [reverted_user_id] [int] NULL, [reverted_revision_id] [int] NULL, [delta] [int] NOT NULL, [cur_size] [int] NOT NULL ); GO -- Make implied NULLs actual NULLs UPDATE titles SET related_page = NULL where related_page = -1; UPDATE training set md5 = NULL where md5 = '-1'; UPDATE training SET reverted_user_id = NULL WHERE reverted_user_id = -1; UPDATE training SET reverted_revision_id = NULL WHERE reverted_revision_id = -1; GO -- Optionally add primary keys ALTER TABLE categories ADD CONSTRAINT PK_categories PRIMARY KEY CLUSTERED (category_id); ALTER TABLE comments ADD CONSTRAINT PK_comments PRIMARY KEY CLUSTERED (revision_id); ALTER TABLE namespaces ADD CONSTRAINT PK_namespaces PRIMARY KEY CLUSTERED (namespace_id); ALTER TABLE titles ADD CONSTRAINT PK_titles PRIMARY KEY CLUSTERED (article_id); ALTER TABLE training ADD CONSTRAINT PK_training PRIMARY KEY CLUSTERED (revision_id); GO To actually perform the import, I just used a simple right click on the database name followed by ""Import Data..."" and followed the wizard steps for a flat file, tab deliminated file. If you use a different SQL database, you'll probably have to follow similar steps. My hope is that the provided schema might give you a starting point. Feel free to ask any follow-up questions.",5,bronze,14 ,Tue Jun 28 2011 20:23:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/668,/competitions/wikichallenge,None
/dansbecker,Submission error,"Anyone else getting an error ""Field index must be included in [0, FieldCount[. Specified field index was : '2'. Parameter name: field Actual value was 2."" Looking at my submission file, I don't see anything that looks obviously in error (e.g. extra quotation marks, mislabeled fields, etc.)",0,None,1 Comment,Wed Jun 29 2011 14:49:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/669,/competitions/hhp,2nd
/dzafarsadik,Error evaluation ,Could you please give a formula for Root Mean Squared Logarithmic Error. Thanks,0,None,1 Comment,Wed Jun 29 2011 22:05:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/670,/competitions/wikichallenge,None
/byang1,Useless data columns ?,"First of all, I suggest breaking the large training.tsv into 5 or 10 smaller files. Extracting a 2GB file, loading it into an editor, and jumping around to random lines aren't exactly easy on most computers today. Can I assume MD5 will be useless for prediction and therefore a big waste of space ? Is reverted_used_id -1 only when reverted is 0 ? If so reverted flag can be removed to save space too.",0,None,9 ,Wed Jun 29 2011 23:22:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/671,/competitions/wikichallenge,None
/starakaj,Other data,"We're thinking that much of what motivates people to edit wikipedia comes from external factors, like world news events and major media releases. What external data are we allowed to take into account in building our model?",0,None,1 Comment,Thu Jun 30 2011 07:11:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/672,/competitions/wikichallenge,None
/pwfrey42,Supreme Court Ruling,Doesn't the recent Supreme Court decision in respect to free speech and the release of pharmacy data raise quesitons on whether HHP needs to take such draconian measures in respect to releasing pharmacy data for the contest? The pharmacy data would be highly predictive and would improve the forecasts significantly.,0,None,7 ,Thu Jun 30 2011 18:07:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/673,/competitions/hhp,10th
/mebeid,Sampling approach,"Would it be possible to provide details about the sampling approach? Empirically, it would appear that the sampled editor population reflects ""survivorship bias"". Two observations that support this possibility: 1. The number of editors whose first edit date is a recent date far surpasses those whose first edit date is more distant (or very distant) date. For example, of the total sample of 44,514 editors: - 17,524 have first edit date in the included 8 months of 2010 - while only 11,625 have first edit date in all 12 months of 2009 So unless the true number of new editors is increasingly substantially, it would appear that the sample may over-represent more recently enrolled editors. 2. For the 6 months from Nov. 2009 to April 2010, the mean number of edits in the subsequent 5 months trends lower every month for ""eligible"" editors (i.e, editors with a first edit date prior to the month of analysis). It seems likely that this is an artifact of the sampling approach rather than a true trend. See results below. In other words, it seems likely that the reason the average # of subsequent 5-month edits for eligible editors as of 11/1/2009 is much higher than for eligible editors as of 4/1/2010 (87 vs 61) is that the 4/1/2010 population includes more newly enrolled editors than does the 11/1/2009 population. Information on the sampling approach would likely help competitors make proper use of the data. Thanks for your consideration. As-of-date, Eligible-editors, Avg-edits-next-5-months 4/1/2010, 33839, 60.62 3/1/2010, 31457, 65.89 2/1/2010, 29287, 70.11 1/1/2010, 26990, 76.49 12/1/2009, 24987, 80.45 11/1/2009, 22804, 86.77",2,bronze,14 ,Fri Jul 01 2011 07:18:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/674,/competitions/wikichallenge,None
/sashikanthdareddy,Validation dataset?,It would be great if the organisers can make available a small validation dataset.,4,bronze,12 ,Sun Jul 03 2011 10:52:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/675,/competitions/wikichallenge,31st
/uriblass,what is the minimal difference in the leaderboard that is significant?,In other words what is the minimal difference that you can be sure with 95% certainty that if A is better than B in the leaderboard then A is also better than B in the real table. It is going to be nice if the organizers answer it.,0,None,1 Comment,Sun Jul 03 2011 16:06:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/676,/competitions/hhp,340th
/ccccat,RMSE precision,Is it possible to add one-two extra digits to the displayed RMSE?,0,None,5 ,Sun Jul 03 2011 21:34:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/677,/competitions/mdm,2nd
/mkwan7977,AgeAtFirstClaim definition,"Is the AgeAtFirstClaim variable in Members.csv the age of the member in Y1, or their age in the year of their first claim? In other words, say you had two members, both with AgeAtFirstClaim = 20-29 The first member has claims in Y1,Y2,Y3, so they are presumably aged 23-32 in Y4 The second member only has Y3 claims. In Y4 are they aged 23-32 or 21-30?",0,None,2 ,Mon Jul 04 2011 05:51:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/678,/competitions/hhp,17th
/sabbiryousufsanny,Data Download,"Is it possible to make the data downloadable using torrents? Dowloading a 1GB file is troublesome for slow connections specially when an interruption will mean that I have to re-download. If torrent is not an option, you can at least make 5-10 smaller segments of the whole data.",0,None,6 ,Mon Jul 04 2011 08:25:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/679,/competitions/wikichallenge,None
/frandom,"Submission Error  ""an item with the same key...""","Hi - trying to make a submission tonight but no luck, I am getting an error message ""an item with the same key has already been added"". The submission is in an identical format to my previous submissions, and I have checked that the filename is different from all previous submissions. Jeff M - please investigate/resolve",0,None,3 ,Thu Jul 07 2011 01:48:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/681,/competitions/hhp,144th
/titatum,Data on user enrollment time,"Hi, Is it possible to have data on user enrollment times? Or is it safe to assume that all sampled users in the training set joined Wikipedia before September 2009. Thanks!",0,None,10 ,Thu Jul 07 2011 04:28:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/682,/competitions/wikichallenge,84th
/lipiji,Data in Chinese ,"hi, I am a student from China. There are some unusual data here, for instance: In Table Members.csv, there are many “10月19日” in the column of ""AgeAtFirstClaim"", it maybe the ""10-19"",but I have no idea why, beacuse all the other data is normal. In Table Claims.csv, in the column ""CharlsonIndex"", all the data except ""0"" are like ""1月2日""“3月4日”， are that mean ""1-2"" ""3-4""? What are the format of this cells in .csv? Thanks a lot.",0,None,3 ,Fri Jul 08 2011 02:58:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/683,/competitions/hhp,1041st
/astrotom,Quadrupoles,"There was a slight inconsistency in the normalisation of the Quadrupole moments equation (e1,e2) on this webpage http://www.kaggle.com/c/mdm/Details/Ellipticity (5th equation down) which has now been updated. This does not change any results on the leaderboard, but for anyone using unweighted quadrupole moments based purely on the equations on this webpage should now take this into account.",0,None,1 Comment,Fri Jul 08 2011 18:01:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/684,/competitions/mdm,None
/baoqiang,what is an edit?,"Sorry to ask such a trivial question. About predicting how many edits one user has in 5 months. What are the criteria to be counted as one edit? If one user visits his/her edited article, regardless it is revise, new entry, or simply view the edited article, it would be counted as one edit. Is it the right interpretion? Thanks!",0,None,1 Comment,Fri Jul 08 2011 22:38:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/685,/competitions/wikichallenge,48th
/woshialex,has anybody really improved the score by using the Star file ?,I found that the star file is totally useless. Has somebody used the star file and get higher score than not using it? Thanks!,0,None,20 ,Sat Jul 09 2011 03:45:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/687,/competitions/mdm,6th
/roobs5218,row ordering for submissions?,"hi kaggle admins, I'm assuming that submitted predictions must have their rows ordered by increasing user id. is this correct? If so, it might be worth explicitly mentioning it in a few places, e.g. on the info page for submissions, and again on the submission upload page! initially i assumed row order would not matter since we are uploading (user, prediction) pairs, but when my rows are not sorted i see about +0.8 error!",2,bronze,3 ,Sat Jul 09 2011 09:50:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/688,/competitions/wikichallenge,5th
/sashikanthdareddy,comments table,"Hi, Do all revision_ids in training dataset have an associated comment in comments.tsv? if not, why not?",0,None,7 ,Sat Jul 09 2011 21:05:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/689,/competitions/wikichallenge,31st
/ahassaine,Publication,"Hello, In addition to the method description we are supposed to provide. Will the top ranked participants be invited to publish in a special issue of a certain journal? Thanks, Ali",0,None,2 ,Sat Jul 09 2011 21:34:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/690,/competitions/mdm,3rd
/pwfrey42,Data Privacy,"The objective for participants in the HHP contest is to forecast how many days persons in the database will spend in the hospital in the next year. This outcome measure would seem to depend on how healthy the person is and on the person’s propensity for seeking medical attention for a perceived illness. The data provided by the sponsors include age and gender but there is no information on family medical history, smoking history, dietary preferences, liquor consumption or exercise activity. Standard data from annual checkups such as blood test information (providing 40 or so measures), a list of drugs the person is taking and physical measurements such as height, weight and waist circumference are also missing. Information on the individuals past history in seeking medical help is also very limited. Some individuals seek medical attention when they feel a minor twinge and others only seek medical assistance if they are incapacitated. One would think that the measures described above would be readily available to medical practitioners. If the participants had access to this information, their forecasts would be more accurate. One of the objectives of the contest is to determine if modern predictive analytical techniques can make useful medical predictions. Given this, why have the sponsors organized a contest that handicaps the participants by not providing relevant data? The sponsors have also mangled the data. Drug count and lab count are truncated and length of stay (the outcome measure) has been converted into a non-linear numeric. These conversions degrade the estimate of the cost of future hospitalizations and ignore the value of methodologies that are effective with outliers. Much has been said about protecting the patients’ privacy but research efforts in other areas such as financial services in which highly sensitive personal data is used have been subjected to a less draconian privacy stance. The person’s name, address, phone number and social security number have been removed from each record. In theory, an individual’s pattern of financial activity might be used to identify that person. However, the probability that a single record among several hundred thousand records could be linked to one of the several hundred million people in this country is extremely small. A cost benefit analysis would surely indicate that improvements in healthcare and reduction in healthcare costs that could result from more sophisticated medical data processing would outweigh by many orders of magnitude the negative impact of an occasional identification of a person in the database.",0,None,10 ,Sat Jul 09 2011 22:05:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/691,/competitions/hhp,10th
/analyticsguy,Algorithms and Problem Statements,"Hi Folks, This year a lot of you are participating in multiple competitions across different business domains. The Heritage is in healthcare, The Hearst Challenge is in publishing and KDD was in music. I was wondering if based on your insights do you think certain approach/algorithms work better for different domains or do you feel there is no difference in the science. I personally belong to the second category and feel the differences come not from the appropriate science but more from the business context and data availability. Appreciate your thoughts. Regards, analyticsguy",0,None,2 ,Sun Jul 10 2011 21:48:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/692,/competitions/hhp,None
/andywocky,feedback vs scoring data sets?,"I'm seeking some clarifications regarding the Feedback Data Set (FDS) vs. the Scoring Data Set (SDS) described in the rules, and I hope a fellow forum member or admin can help: Are the members in Target.csv the complete set of members in the FDS? Is FDS a subset of SDS? If so, and |FDS| = 70942, then this implies that SDS contains 70942/0.3 = 236473 unique members, correct? Is the Milestone Prize awarded based on scoring using SDS, or SDS \ FDS (SDS excluding the FDS members)? The description on the Data page on the competition website suggests the latter: ""30% of the Y4 data is used to calculate the public scoreboard. The other 70% of the Y4 data is used to judge the final placements"" Thanks for the help! Andy",0,None,2 ,Mon Jul 11 2011 06:49:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/694,/competitions/hhp,265th
/launeric,newbie R question,Hi I am new to R and l just want to load a package/library so I can use the function moments() I am using Rstudto via Amazon bioconductor AMI Any help Please -Thanks sincerely,0,None,3 ,Tue Jul 12 2011 01:34:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/697,/competitions/hhp,1278th
/jeffmoser,Compressed Submissions,"I just added support for compressed submissions across all Kaggle competitions. This means that you can now take your .CSV submission file and optionally compress it using: GZip - This is the standard on Linux/Unix (i.e. ""gzip mysubmission.csv""). The uploaded file extension must end with "".gz"" as in ""mysubmission.csv.gz"" ZIP - You can create a ZIP file that has only your submission CSV file inside of it. The uploaded file extension must end with "".zip"" as in ""mysubmission.zip"" In addition, I added ""sniffing"" code that looks at your submitted CSV (whether inside a compressed file or not) to see if you only submitted an ""essential"" column. For example, if a competition only uses one column for predictions (i.e. column 3), you have traditionally had to submit a file with 3 columns for it to be accepted (even if the first two columns are always ignored). The new ""sniffing"" code will sniff around to see if you only have one column (i.e. your file has no commas in it). If this is the case, then the submission processor will assume that that single column contains your predictions. Lastly, the sniffer will look to see if the first row contains headers. If the first row column values are all floating point numbers, then it will assume that you didn't submit a header row and should press on with correct values. My hope is that these changes help people (especially those with slower connections) participate easier in competitions as we continue to grow and have competitions with larger submissions. As always, let me know if you have any questions with these changes.",10,bronze,4 ,Wed Jul 13 2011 04:51:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/699,None,None
/jeffmoser,"Tip: consider using ""compressed submissions"" for this competition","Due to the relatively large submission files associated with this competition, you're all encouraged to use the new ""compressed submissions"" feature described in this post: [Link]:/forums/t/699/compressed-submissions/4559#post4559 I included two example submissions: a normal one and a ""compressed"" one. Using the compressed submissions should notably decrease your upload times.",4,bronze,4 ,Wed Jul 13 2011 05:37:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/700,/competitions/ClaimPredictionChallenge,None
/chrisraimondi,Gini vs AUC,"I know I could probably look this up, but what is the practical difference (if any) between this and the AUC method used in the overfit competition.",0,None,3 ,Wed Jul 13 2011 07:07:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/702,/competitions/ClaimPredictionChallenge,48th
/jeffmoser,Code to calculate NormalizedGini,"Since this is a new metric to Kaggle, I thought I'd share the code we use to calculate it (in C#): public static double Gini(this IList<double> a, IList<double> p) { if(a.Count != p.Count) { throw new ArgumentException(); } var all = p.Zip(a, (pred, actual) => new { actualValue = actual, predictedValue = pred }) // (actual, prediction) .Zip(Enumerable.Range(1, a.Count), (ap, i) => new { ap.actualValue, ap.predictedValue, originalIndex = i }) .OrderByDescending(ap => ap.predictedValue) // important to sort descending by prediction .ThenBy(ap => ap.originalIndex); // secondary sorts to ensure unambigious orders var totalActualLosses = a.Sum(); double populationDelta = 1.0/a.Count; double accumulatedPopulationPercentageSum = 0; double accumulatedLossPercentageSum = 0; double giniSum = 0.0; foreach(var currentPair in all) { accumulatedLossPercentageSum += (currentPair.actualValue/totalActualLosses); accumulatedPopulationPercentageSum += populationDelta; giniSum += accumulatedLossPercentageSum - accumulatedPopulationPercentageSum; } var gini = giniSum/a.Count; return gini;}public static double GiniNormalized(this IList<double> a, IList<double> p) { return a.Gini(p)/(a.Gini(a));} Let me know if you have any questions about the code. Feel free to post your own ports of it to the languages of your choice.",35,bronze,24 ,Wed Jul 13 2011 15:49:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/703,/competitions/ClaimPredictionChallenge,None
/lipiji,CSV to Mysql errors,"hi, because there are many values like ""A.1"" ""B.2"", so mysql may consider the ""A"" and ""B"" as Table Column and I can not import the data. How to handle problem, thanks a lot. By the way, I give the sql to creat table. DROP TABLE IF EXISTS `train`; CREATE TABLE `train` ( `Id` int(11) NOT NULL auto_increment, `Household_ID` int(11) default NULL, `Vehicle` int(11) default NULL, `Calendar_Year` varchar(20) default NULL, `Model_Year` varchar(20) default NULL, `Blind_Make` varchar(11) default NULL, `Blind_Model` int(11) default NULL, `Blind_Submodel` varchar(20) default NULL, `Cat1` varchar(11) default NULL, `Cat2` varchar(11) default NULL, `Cat3` varchar(1) default NULL, `Cat4` varchar(11) default NULL, `Cat5` varchar(11) default NULL, `Cat6` varchar(11) default NULL, `Cat7` varchar(11) default NULL, `Cat8` varchar(11) default NULL, `Cat9` varchar(11) default NULL, `Cat10` varchar(11) default NULL, `Cat11` varchar(11) default NULL, `Cat12` varchar(11) default NULL, `OrdCat` varchar(20) default NULL, `Var1` float default NULL, `Var2` float default NULL, `Var3` float default NULL, `Var4` float default NULL, `Var5` float default NULL, `Var6` float default NULL, `Var7` float default NULL, `Var8` float default NULL, `NVCat` varchar(11) default NULL, `NVVar1` float default NULL, `NVVar2` float default NULL, `NVVar3` float default NULL, `NVVar4` float default NULL, `Claim_Amount` float default NULL, PRIMARY KEY (`Id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8",0,None,1 Comment,Thu Jul 14 2011 03:30:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/705,/competitions/ClaimPredictionChallenge,79th
/cwilkes,"Are ""Categorical vehicle variables"" unique to each car type? ","Are the categories for Cat1->12 the same for all cars or are they unique per vehicle type? To put it another way is the first category always ""sedan or hatchback""? Or is it if the car is a sedan then the 2nd category is number of doors while for hatchbacks it is the car color? The categories ""Continuous vehicle variable"" to me implies that those are values based on the 12 categories so you can't compare them one for one with another row unless it is the same make and model. That is to say if the vehicle is a pickup truck the 1st column is the towing capacity while if it is a motorcycle it is the size of the engine. But I can also see those columns varying. For example the 2nd column can be used for either the MPG if the 3rd column in the category was ""N"" for No Damage but if there was damage to the car then it is the dollar amount that the car had. And finally for the ""Continuous non-vehicle variable"" are those the same across all rows? That is is the first column always the number of children in the household?",0,None,1 Comment,Thu Jul 14 2011 08:17:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/706,/competitions/ClaimPredictionChallenge,None
/dirknbr,Households,"Just in case someone has run this already, how many households from train are also in test, and how any are new?",1,None,1 Comment,Thu Jul 14 2011 11:49:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/708,/competitions/ClaimPredictionChallenge,52nd
/dirknbr,submission,"The submission page says Your entry must: be in CSV format have a header row as the first row have your prediction in column 2 Each predicted value must be: A real number. That is, a real-valued number in the interval (-∞, ∞). But the example submission only has one column, no header - I assumed they are the row_id. Dirk",0,None,3 ,Thu Jul 14 2011 12:31:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/709,/competitions/ClaimPredictionChallenge,52nd
/jeffmoser,Importing to SQL Server and Aggregate Statistics,"In case it helps others, I'm posting the SQL Server schema I used for this competition. I used this schema in conjunction with SQL Server's import data wizard (i.e. create a new database, then right click on that database and click 'Import Data'). This schema reflects a fairly compact representation of the data. In addition, I've included many aggregate statistics so that you can verify your import: USE ClaimPredictionChallenge; CREATE TABLE [test_set]( [Row_ID] [int] NOT NULL, [Household_ID] [int] NOT NULL, [Vehicle] [smallint] NOT NULL, [Calendar_Year] [smallint] NOT NULL, [Model_Year] [smallint] NOT NULL, [Blind_Make] [varchar](2) NULL, [Blind_Model] [varchar](6) NULL, [Blind_Submodel] [varchar](8) NULL, [Cat1] [char](1) NOT NULL, [Cat2] [char](1) NOT NULL, [Cat3] [char](1) NOT NULL, [Cat4] [char](1) NOT NULL, [Cat5] [char](1) NOT NULL, [Cat6] [char](1) NOT NULL, [Cat7] [char](1) NOT NULL, [Cat8] [char](1) NOT NULL, [Cat9] [char](1) NOT NULL, [Cat10] [char](1) NOT NULL, [Cat11] [char](1) NOT NULL, [Cat12] [char](1) NOT NULL, [OrdCat] [smallint] NOT NULL, [Var1] [real] NOT NULL, [Var2] [real] NOT NULL, [Var3] [real] NOT NULL, [Var4] [real] NOT NULL, [Var5] [real] NOT NULL, [Var6] [real] NOT NULL, [Var7] [real] NOT NULL, [Var8] [real] NOT NULL, [NVCat] [char](1) NOT NULL, [NVVar1] [real] NOT NULL, [NVVar2] [real] NOT NULL, [NVVar3] [real] NOT NULL, [NVVar4] [real] NOT NULL ); CREATE TABLE [train_set]( [Row_ID] [int] NOT NULL, [Household_ID] [int] NOT NULL, [Vehicle] [smallint] NOT NULL, [Calendar_Year] [smallint] NOT NULL, [Model_Year] [smallint] NOT NULL, [Blind_Make] [varchar](2) NULL, [Blind_Model] [varchar](6) NULL, [Blind_Submodel] [varchar](8) NULL, [Cat1] [char](1) NULL, [Cat2] [char](1) NULL, [Cat3] [char](1) NULL, [Cat4] [char](1) NULL, [Cat5] [char](1) NULL, [Cat6] [char](1) NULL, [Cat7] [char](1) NULL, [Cat8] [char](1) NULL, [Cat9] [char](1) NULL, [Cat10] [char](1) NULL, [Cat11] [char](1) NULL, [Cat12] [char](1) NULL, [OrdCat] [char](1) NULL, [Var1] [real] NOT NULL, [Var2] [real] NOT NULL, [Var3] [real] NOT NULL, [Var4] [real] NOT NULL, [Var5] [real] NOT NULL, [Var6] [real] NOT NULL, [Var7] [real] NOT NULL, [Var8] [real] NOT NULL, [NVCat] [char](1) NULL, [NVVar1] [real] NOT NULL, [NVVar2] [real] NOT NULL, [NVVar3] [real] NOT NULL, [NVVar4] [real] NOT NULL, [Claim_Amount] [real] NOT NULL ); -- Make implied NULLs actual NULLs UPDATE train_set SET Cat1 = NULL WHERE Cat1 = '?'; UPDATE train_set SET Cat2 = NULL WHERE Cat2 = '?'; UPDATE train_set SET Cat3 = NULL WHERE Cat3 = '?'; UPDATE train_set SET Cat4 = NULL WHERE Cat4 = '?'; UPDATE train_set SET Cat5 = NULL WHERE Cat5 = '?'; UPDATE train_set SET Cat6 = NULL WHERE Cat6 = '?'; UPDATE train_set SET Cat7 = NULL WHERE Cat7 = '?'; UPDATE train_set SET Cat8 = NULL WHERE Cat8 = '?'; UPDATE train_set SET Cat9 = NULL WHERE Cat9 = '?'; UPDATE train_set SET Cat10 = NULL WHERE Cat10 = '?'; UPDATE train_set SET Cat11 = NULL WHERE Cat11 = '?'; UPDATE train_set SET Cat12 = NULL WHERE Cat12 IN ('?', ''); UPDATE train_set SET OrdCat = NULL WHERE OrdCat = '?' -- Optionally add primary keys ALTER TABLE train_set ADD CONSTRAINT PK_train_set PRIMARY KEY CLUSTERED (Row_ID); ALTER TABLE test_set ADD CONSTRAINT PK_test_set PRIMARY KEY CLUSTERED (Row_ID); --------------------------> train_set table SELECT Calendar_Year, COUNT(*) Vehicles_Per_Year FROM train_set GROUP BY Calendar_Year ORDER BY Calendar_Year; -- Calendar_Year Vehicles_Per_Year -- 2005 4025672 -- 2006 4447730 -- 2007 4710888 SELECT Model_Year, COUNT(*) Vehicles_Per_Year FROM train_set GROUP BY Model_Year ORDER BY Model_Year; --Model_Year Vehicles_Per_Year --1981 20966 --1982 24868 --1983 33514 --1984 53449 --1985 70738 --1986 92397 --1987 104061 --1988 138717 --1989 177728 --1990 203242 --1991 235688 --1992 281716 --1993 382330 --1994 478067 --1995 627182 --1996 589347 --1997 732651 --1998 791734 --1999 887858 --2000 1004464 --2001 993400 --2002 1055299 --2003 1007184 --2004 1067981 --2005 1007447 --2006 704628 --2007 366845 --2008 50787 --2009 2 SELECT TOP 10 Blind_Make, COUNT(*) Make_Count FROM train_set GROUP BY Blind_Make ORDER BY COUNT(*) DESC --Blind_Make Make_Count --K 1657185 --AJ 1547886 --BW 1265861 --AU 1071883 --Y 848371 --X 807923 --BO 657257 --W 552217 --L 382047 --AO 381448 SELECT TOP 10 Blind_Make, COUNT(*) Make_Count FROM train_set GROUP BY Blind_Make ORDER BY COUNT(*) --Blind_Make Make_Count --AB 5 --C 7 --H 10 --CA 13 --A 17 --AK 18 --AS 30 --BK 40 --BQ 81 --F 132 SELECT TOP 10 Blind_Model, COUNT(*) Model_Count FROM train_set GROUP BY Blind_Model ORDER BY COUNT(*) DESC --Blind_Model Model_Count --K.7 597433 --AU.14 303444 --X.45 291959 --W.16 233343 --AU.11 203473 --BO.38 194172 --AO.7 169280 --AJ.58 159714 --AJ.52 159204 --AU.58 151439 SELECT TOP 10 Blind_Model, COUNT(*) Model_Count FROM train_set GROUP BY Blind_Model ORDER BY COUNT(*), Blind_Model --Blind_Model Model_Count --AH.114 1 --AH.117 1 --AH.13 1 --AJ.107 1 --AM.10 1 --BQ.3 1 --BQ.9 1 --BU.37 1 --BW.123 1 --BW.128 1 SELECT TOP 10 Blind_Submodel, COUNT(*) Vehicle_Count FROM train_set GROUP BY Blind_Submodel ORDER BY COUNT(*) DESC --Blind_Submodel Vehicle_Count --K.7.3 165298 --AU.58.0 150110 --AU.14.1 141627 --AU.14.0 137043 --W.16.3 136104 --AU.11.3 132679 --K.7.0 116310 --BW.3.0 112414 --BW.115.0 112275 --BW.95.0 106209 SELECT TOP 10 Blind_Submodel, COUNT(*) AS Vehicle_Count FROM train_set GROUP BY Blind_Submodel ORDER BY COUNT(*), Blind_Submodel --Blind_Submodel Vehicle_Count --AE.3.0 1 --AE.4.1 1 --AE.4.2 1 --AE.6.2 1 --AH.114.1 1 --AH.117.1 1 --AH.13.1 1 --AJ.107.1 1 --AM.10.1 1 --AN.3.1 1 SELECT Cat1, COUNT(*) AS Total FROM train_set GROUP BY Cat1 ORDER BY COUNT(*) DESC; --Cat1 Total --B 4017739 --I 2654532 --D 2487951 --F 1305108 --G 782602 --A 768871 --C 401355 --E 279699 --J 233968 --H 226484 --? 25981 SELECT Cat2, COUNT(*) AS Total FROM train_set GROUP BY Cat2 ORDER BY COUNT(*) DESC; --Cat2 Total --C 5895027 --? 4874164 --A 2191054 --B 224045 SELECT Cat3, COUNT(*) AS Total FROM train_set GROUP BY Cat3 ORDER BY COUNT(*) DESC; --Cat3 Total --A 7488029 --B 2256802 --C 1270889 --E 886816 --F 872031 --D 405724 --? 3999 SELECT Cat4, COUNT(*) AS Total FROM train_set GROUP BY Cat4 ORDER BY COUNT(*) DESC; --Cat4 Total --A 5723163 --? 5631649 --C 1454425 --B 375053 SELECT Cat5, COUNT(*) AS Total FROM train_set GROUP BY Cat5 ORDER BY COUNT(*) DESC; --Cat5 Total --A 6683980 --? 5637321 --C 779280 --B 83709 SELECT Cat6, COUNT(*) AS Total FROM train_set GROUP BY Cat6 ORDER BY COUNT(*) DESC; --Cat6 Total --B 4265208 --C 3677694 --D 3604486 --E 1173316 --F 437605 --? 25981 SELECT Cat7, COUNT(*) AS Total FROM train_set GROUP BY Cat7 ORDER BY COUNT(*) DESC; --Cat7 Total --? 7167634 --C 4618653 --A 1050621 --B 233786 --D 113596 SELECT Cat8, COUNT(*) AS Total FROM train_set GROUP BY Cat8 ORDER BY COUNT(*) DESC; --Cat8 Total --A 8626513 --B 3673932 --C 880481 --? 3364 SELECT Cat9, COUNT(*) AS Total FROM train_set GROUP BY Cat9 ORDER BY COUNT(*) DESC; --Cat9 Total --B 10850782 --A 2333508 SELECT Cat10, COUNT(*) AS Total FROM train_set GROUP BY Cat10 ORDER BY COUNT(*) DESC; --Cat10 Total --A 8573092 --B 3969170 --C 638111 --? 3917 SELECT Cat11, COUNT(*) AS Total FROM train_set GROUP BY Cat11 ORDER BY COUNT(*) DESC; --Cat11 Total --A 6951038 --B 3174528 --C 1103640 --E 816595 --F 787998 --D 319022 --? 31469 SELECT Cat12, COUNT(*) AS Total FROM train_set GROUP BY Cat12 ORDER BY COUNT(*) DESC; --Cat12 Total --B 4348276 --C 3619974 --D 3525723 --E 1196458 --F 462388 -- 28882 (Note: probably should have been '?') --A 2589 SELECT OrdCat, COUNT(*) AS Total FROM train_set GROUP BY OrdCat ORDER BY COUNT(*) DESC; --OrdCat Total --4 5935475 --2 4146321 --5 2964704 --3 93976 --6 16198 --1 15835 --? 7546 --7 4235 SELECT MIN(Var1) FROM train_set; -- -2.578222 SELECT MAX(Var1) FROM train_set; -- 5.143392 SELECT SUM(Var1) FROM train_set; -- -133415.165078922 SELECT AVG(Var1) FROM train_set; -- -0.0101192529198707 SELECT MIN(Var2) FROM train_set; -- -2.493393 SELECT MAX(Var2) FROM train_set; -- 7.82942 SELECT SUM(Var2) FROM train_set; -- -858126.221982679 SELECT AVG(Var2) FROM train_set; -- -0.0650870256936611 SELECT MIN(Var3) FROM train_set; -- -2.790335 SELECT MAX(Var3) FROM train_set; -- 5.563325 SELECT SUM(Var3) FROM train_set; -- -335328.063572197 SELECT AVG(Var3) FROM train_set; -- -0.0254339113878864 SELECT MIN(Var4) FROM train_set; -- -2.508216 SELECT MAX(Var4) FROM train_set; -- 7.589262 SELECT SUM(Var4) FROM train_set; -- -719439.378401036 SELECT AVG(Var4) FROM train_set; -- -0.0545679273135707 SELECT MIN(Var5) FROM train_set; -- -3.350344 SELECT MAX(Var5) FROM train_set; -- 4.018167 SELECT SUM(Var5) FROM train_set; -- 50609.1422801865 SELECT AVG(Var5) FROM train_set; -- 0.00383859443930515 SELECT MIN(Var6) FROM train_set; -- -2.376657 SELECT MAX(Var6) FROM train_set; -- 4.584289 SELECT SUM(Var6) FROM train_set; -- -528989.514271023 SELECT AVG(Var6) FROM train_set; -- -0.0401227153127717 SELECT MIN(Var7) FROM train_set; -- -2.778491 SELECT MAX(Var7) FROM train_set; -- 4.127148 SELECT SUM(Var7) FROM train_set; -- -319229.602963614 SELECT AVG(Var7) FROM train_set; -- -0.024212877823805 SELECT MIN(Var8) FROM train_set; -- -2.163042 SELECT MAX(Var8) FROM train_set; -- 47.35074 SELECT SUM(Var8) FROM train_set; -- -772079.797664134 SELECT AVG(Var8) FROM train_set; -- -0.0585605897370381 SELECT NVCat, COUNT(*) AS NVCat_Count FROM train_set GROUP BY NVCat ORDER BY COUNT(*) DESC; --NVCat NVCat_Count --M 5767944 --O 3416948 --N 1328428 --L 804000 --J 559165 --E 401274 --F 325556 --B 173724 --H 134702 --K 119996 --C 64753 --A 45758 --I 19208 --G 16073 --D 6761 SELECT MIN(NVVar1) FROM train_set; -- -0.2315299 SELECT MAX(NVVar1) FROM train_set; -- 6.62711 SELECT SUM(NVVar1) FROM train_set; -- 193599.357427523 SELECT AVG(NVVar1) FROM train_set; -- 0.0146840942839943 SELECT MIN(NVVar2) FROM train_set; -- -0.2661168 SELECT MAX(NVVar2) FROM train_set; -- 8.883081 SELECT SUM(NVVar2) FROM train_set; -- 230879.161265343 SELECT AVG(NVVar2) FROM train_set; -- 0.0175116871113532 SELECT MIN(NVVar3) FROM train_set; -- -0.2723372 SELECT MAX(NVVar3) FROM train_set; -- 8.691144 SELECT SUM(NVVar3) FROM train_set; -- 178545.106917024 SELECT AVG(NVVar3) FROM train_set; -- 0.0135422618068188 SELECT MIN(NVVar4) FROM train_set; -- -0.2514189 SELECT MAX(NVVar4) FROM train_set; -- 6.388803 SELECT SUM(NVVar4) FROM train_set; -- 244090.89812161 SELECT AVG(NVVar4) FROM train_set; -- 0.0185137688962857 SELECT MIN(Claim_Amount) FROM train_set; -- 0 SELECT MAX(Claim_Amount) FROM train_set; -- 11440.75 SELECT SUM(Claim_Amount) FROM train_set; -- 17939315.1737089 SELECT AVG(Claim_Amount) FROM train_set; -- 1.36065841798905 SELECT CAST((SELECT COUNT(*) FROM train_set WHERE Claim_Amount = 0) AS real) / (SELECT COUNT(*) FROM train_set); -- 0.9927486 --------------------------> test_set table SELECT Calendar_Year, COUNT(*) Vehicles_Per_Year FROM test_set GROUP BY Calendar_Year ORDER BY Calendar_Year; --Calendar_Year Vehicles_Per_Year --2008 2118739 --2009 2196126 SELECT Model_Year, COUNT(*) Vehicles_Per_Year FROM test_set GROUP BY Model_Year ORDER BY Model_Year; --Model_Year Vehicles_Per_Year --1984 1 --1986 1 --1987 3 --1989 261 --1990 2 --1993 2 --1994 3110 --1995 9870 --1996 4486 --1997 1910 --1998 49561 --1999 300904 --2000 403069 --2001 374678 --2002 405638 --2003 395663 --2004 387160 --2005 459951 --2006 488643 --2007 471198 --2008 378999 --2009 153706 --2010 26049 SELECT TOP 100 Blind_Make, COUNT(*) Make_Count FROM test_set GROUP BY Blind_Make ORDER BY COUNT(*) DESC --Blind_Make Make_Count --K 554407 --AU 413009 --Y 362378 --AO 308624 --X 300597 --BF 161520 --L 161133 --BO 138123 --BU 135777 --AL 118783 SELECT TOP 10 Blind_Make, COUNT(*) Make_Count FROM test_set GROUP BY Blind_Make ORDER BY COUNT(*) --Blind_Make Make_Count --AS 31 --CB 36 --Z 42 --BQ 70 --AG 105 --T 286 --E 328 --BA 335 --AX 853 --BR 2796 SELECT TOP 10 Blind_Model, COUNT(*) Model_Count FROM test_set GROUP BY Blind_Model ORDER BY COUNT(*) DESC --Blind_Model Model_Count --K.7 328245 --AO.2 277386 --AU.14 205493 --X.45 129039 --Y.29 125310 --K.65 101414 --BO.38 94234 --Y.34 90861 --X.24 88772 --AU.11 86631 SELECT TOP 10 Blind_Model, COUNT(*) Model_Count FROM test_set GROUP BY Blind_Model ORDER BY COUNT(*), Blind_Model --Blind_Model Model_Count --AL.5 1 --BH.17 1 --BZ.18 1 --BZ.19 1 --AG.1 4 --E.18 4 --AY.68 5 --AG.5 6 --BG.24 7 --BT.68 7 SELECT TOP 10 Blind_Submodel, COUNT(*) Vehicle_Count FROM test_set GROUP BY Blind_Submodel ORDER BY COUNT(*) DESC --Blind_Submodel Vehicle_Count --AU.14.1 148261 --K.7.3 139655 --AU.58.0 77481 --AO.2.5 67926 --AO.2.13 66457 --K.7.1 63079 --X.45.8 57204 --K.7.2 56568 --AO.2.11 55175 --Y.29.0 54375 SELECT TOP 10 Blind_Submodel, COUNT(*) AS Vehicle_Count FROM test_set GROUP BY Blind_Submodel ORDER BY COUNT(*), Blind_Submodel --Blind_Submodel Vehicle_Count --AL.5.0 1 --AR.2.1 1 --AY.21.2 1 --AY.32.1 1 --AY.33.3 1 --AY.57.1 1 --AY.60.3 1 --AZ.27.18 1 --BH.17.0 1 --BZ.18.1 1 SELECT Cat1, COUNT(*) AS Total FROM test_set GROUP BY Cat1 ORDER BY COUNT(*) DESC; --Cat1 Total --B 2858631 --A 572074 --G 457935 --E 283406 --C 75064 --F 67755 SELECT Cat2, COUNT(*) AS Total FROM test_set GROUP BY Cat2 ORDER BY COUNT(*) DESC; --Cat2 Total --C 3302271 --A 891344 --B 121250 SELECT Cat3, COUNT(*) AS Total FROM test_set GROUP BY Cat3 ORDER BY COUNT(*) DESC; --Cat3 Total --B 2156278 --A 2007717 --F 148523 --D 1998 --E 260 --C 89 SELECT Cat4, COUNT(*) AS Total FROM test_set GROUP BY Cat4 ORDER BY COUNT(*) DESC; --A 4145055 --C 169810 SELECT Cat5, COUNT(*) AS Total FROM test_set GROUP BY Cat5 ORDER BY COUNT(*) DESC; --Cat5 Total --A 3804513 --C 458019 --B 52333 SELECT Cat6, COUNT(*) AS Total FROM test_set GROUP BY Cat6 ORDER BY COUNT(*) DESC; --Cat6 Total --B 1934060 --D 999375 --C 890884 --E 384563 --F 105697 --A 286 SELECT Cat7, COUNT(*) AS Total FROM test_set GROUP BY Cat7 ORDER BY COUNT(*) DESC; --Cat7 Total --C 3378427 --A 761065 --B 162285 --D 13088 SELECT Cat8, COUNT(*) AS Total FROM test_set GROUP BY Cat8 ORDER BY COUNT(*) DESC; --Cat8 Total --A 2238788 --B 1824053 --C 252024 SELECT Cat9, COUNT(*) AS Total FROM test_set GROUP BY Cat9 ORDER BY COUNT(*) DESC; --Cat9 Total --B 2508005 --A 1806860 SELECT Cat10, COUNT(*) AS Total FROM test_set GROUP BY Cat10 ORDER BY COUNT(*) DESC; --Cat10 Total --A 2807036 --B 1299078 --C 208751 SELECT Cat11, COUNT(*) AS Total FROM test_set GROUP BY Cat11 ORDER BY COUNT(*) DESC; --Cat11 Total --A 2279692 --B 1041526 --C 361464 --E 268073 --F 258831 --D 105279 SELECT Cat12, COUNT(*) AS Total FROM test_set GROUP BY Cat12 ORDER BY COUNT(*) DESC; --Cat12 Total --B 1426443 --C 1185201 --D 1157767 --E 393609 --F 150976 --A 869 SELECT OrdCat, COUNT(*) AS Total FROM test_set GROUP BY OrdCat ORDER BY COUNT(*) DESC; --OrdCat Total --2 2033886 --4 1950006 --5 258913 --3 69039 --7 1619 --6 1115 --1 287 SELECT MIN(Var1) FROM test_set; -- -3.09246 SELECT MAX(Var1) FROM test_set; -- 3.086437 SELECT SUM(Var1) FROM test_set; -- -1256558.88539529 SELECT AVG(Var1) FROM test_set; -- -0.291216268735011 SELECT MIN(Var2) FROM test_set; -- -2.14757 SELECT MAX(Var2) FROM test_set; -- 7.82942 SELECT SUM(Var2) FROM test_set; -- -228227.168241829 SELECT AVG(Var2) FROM test_set; -- -0.0528932349544723 SELECT MIN(Var3) FROM test_set; -- -2.46637 SELECT MAX(Var3) FROM test_set; -- 2.069135 SELECT SUM(Var3) FROM test_set; -- -900919.478849606 SELECT AVG(Var3) FROM test_set; -- -0.20879436062301 SELECT MIN(Var4) FROM test_set; -- -2.169942 SELECT MAX(Var4) FROM test_set; -- 7.94445 SELECT SUM(Var4) FROM test_set; -- -383728.20701796 SELECT AVG(Var4) FROM test_set; -- -0.0889316831506803 SELECT MIN(Var5) FROM test_set; -- -5.057174 SELECT MAX(Var5) FROM test_set; -- 2.876315 SELECT SUM(Var5) FROM test_set; -- -745186.335228794 SELECT AVG(Var5) FROM test_set; -- -0.17270212051334 SELECT MIN(Var6) FROM test_set; -- -2.029253 SELECT MAX(Var6) FROM test_set; -- 2.858966 SELECT SUM(Var6) FROM test_set; -- -1602296.64387677 SELECT AVG(Var6) FROM test_set; -- -0.371343400981669 SELECT MIN(Var7) FROM test_set; -- -2.21326 SELECT MAX(Var7) FROM test_set; -- 1.681913 SELECT SUM(Var7) FROM test_set; -- -2385324.70575756 SELECT AVG(Var7) FROM test_set; -- -0.552815605067032 SELECT MIN(Var8) FROM test_set; -- -1.484801 SELECT MAX(Var8) FROM test_set; -- 46.72172 SELECT SUM(Var8) FROM test_set; -- 378444.673914099 SELECT AVG(Var8) FROM test_set; -- 0.0877071875746051 SELECT NVCat, COUNT(*) AS NVCat_Count FROM test_set GROUP BY NVCat ORDER BY COUNT(*) DESC; --NVCat NVCat_Count --M 1861275 --O 1205736 --N 407912 --L 284602 --J 178823 --E 120624 --F 85545 --B 57172 --H 41202 --K 33773 --C 16057 --A 12100 --G 4408 --I 4159 --D 1477 SELECT MIN(NVVar1) FROM test_set; -- -0.2315299 SELECT MAX(NVVar1) FROM test_set; -- 6.62711 SELECT SUM(NVVar1) FROM test_set; -- -116860.566231743 SELECT AVG(NVVar1) FROM test_set; -- -0.0270832497034652 SELECT MIN(NVVar2) FROM test_set; -- -0.2661168 SELECT MAX(NVVar2) FROM test_set; -- 8.883081 SELECT SUM(NVVar2) FROM test_set; -- -43259.1929190159 SELECT AVG(NVVar2) FROM test_set; -- -0.0100256190909834 SELECT MIN(NVVar3) FROM test_set; -- -0.2723372 SELECT MAX(NVVar3) FROM test_set; -- 8.691144 SELECT SUM(NVVar3) FROM test_set; -- -195504.770742655 SELECT AVG(NVVar3) FROM test_set; -- -0.0453095915498294 SELECT MIN(NVVar4) FROM test_set; -- -0.2514189 SELECT MAX(NVVar4) FROM test_set; -- 6.388803 SELECT SUM(NVVar4) FROM test_set; -- 41278.680568099 SELECT AVG(NVVar4) FROM test_set; -- 0.00956662156709399 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1171/import_and_aggregate_stats.sql",0,None,1 Comment,Thu Jul 14 2011 16:09:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/711,/competitions/ClaimPredictionChallenge,None
/mikhail1,new articles in test dataset ... just to clarify,"may be I missed something in data description, but the question is - if test dataset contains edit counts for ""new"" articles. I mean articles that were created after training period.",0,None,6 ,Thu Jul 14 2011 18:53:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/712,/competitions/wikichallenge,None
/tim69933,"Question about ""exclusive original work"" assertion","Hi all, As I understand it from section 13 of the rules, and from previous discussions in the forum, in order to win a milestone prize, one must publish their potentially winning algorithm for all other contestants to review. Presumably, other contestants may then incorporate the winning algorithms into their own work, used to produce future entries. However, section 20 of the rules requires an entrant to represent that the algorithm used to produce an entry is ""the exclusive original work of the entrant"". But is this really true if an entrant built their algorithm on a milestone prize winning algorithm posted by another contestant? So, is the intent really that contestants use and adapt the algorithms posted by other contestants as part of the milestone prize qualification process, and if so, how does this reconcile with section 20 of the rules? Thanks, Tim",4,bronze,2 ,Sat Jul 16 2011 22:58:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/714,/competitions/hhp,None
/analyticsguy,Most Effective versus Most Innovative,"Folks, Another interesting question for the analytics competition community. Traditionally, all datamining competitions have focused on obtaining the best score and rewarding participants that do so. Do you think there is merit in also looking at creativity/innovation? How do you judge that effectively. Hearst Analytics Challenge this year has teamed up with Wharton to offer an innovation award to be solely judged by some faculty members. Is that a good way to go and are we going to see more of that in the future? I would appreciate your views. Regards, analyticsguy",0,None,1 Comment,Sun Jul 17 2011 15:53:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/716,/competitions/hhp,None
/uriblass,Memory problems with reading the train set file with the R language.,"I tried to read the train_set by the commands memory.limit(4095) aaa<-read.csv(file=""train_set.csv"") Unfortunately I get the error cannot allocate a vector of size 62.5 M ""If 32-bit R is run on most 64-bit versions of Windows the maximum value of obtainable memory is just under 4Gb. For a 64-bit versions of R under 64-bit Windows the limit is currently 8Tb."" 4 Gb and 8 Tb is a big difference and I wonder if people who use R for this competition use only 64 bit versions of R under 64 bit Windows.",0,None,13 ,Mon Jul 18 2011 16:05:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/718,/competitions/ClaimPredictionChallenge,None
/twanvl,More training data,"In an attempt to get some data without the horrible selection bias, I have been collecting data from wikipedia myself. This is explictly allowed by the rules. What I did is download a list of wikipedia users, and for each user (in random order), download a list of edits made by that user between 2001-01-01 and 2010-08-31. The only bias in this data is that it includes only users who have made at least one edit in this period. Because I am such a nice guy, I decided to share this data with all of you. The entire file, in a format similar to training.tsv, is a bit too large to share easily (263MB). If anyone knows of a good way to do this I will certainly make it available. In the mean time, here is a file with just a summary. The file more.octave.txt is a sparse matrix in octave format, where the rows are the users, and the columns are the days. Each row in the file (except for the 5 header lines) looks like: <userid> <day> <number-of-edits-by-user-on-this-day> Userids are renumbered from 1 to 85641, and days are numbered 1 to 3310. The file contains 648829 nonzero user/day pairs. If a user/day pair is not mentioned in the file, then that user didn't make any edits on that day. You can download this file from [Link]:http://twan.home.fmf.nl/files/wikichallenge-2011-07-19.zip. I can not guarantee that there are no errors, so use at your own risk. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1174/wikichallenge-2011-07-19.zip",1,bronze,5 ,Tue Jul 19 2011 13:22:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/719,/competitions/wikichallenge,13th
/meliponemoody,Var2 and Var4,I see values for Var2 and Var4 that are above 1.0. I thought that the quantitative variables were normalized to have 0 mean and stdev 1. Am I missing something?,0,None,4 ,Tue Jul 19 2011 21:51:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/720,/competitions/ClaimPredictionChallenge,None
/ccccat,Are we hitting a wall?,"Looks like there was no visible progress for last several weeks. Top 6 (or maybe even more) results are statistically even. It will be just ""lottery"" at the end. Taking this into account and the fact that organizers want to see several top algorithms in any case, I am willing to start collaboration with other top participants. I really hope that we are using different methods and combination of them will result in statistically meaningful progress. As a start I can provide my solution for training set in exchange for the same just to play with. If it will result in a progress on the test set then we will form a team for the rest of the competition. (I hope it is not against the rules).",0,None,43 ,Wed Jul 20 2011 17:32:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/721,/competitions/mdm,2nd
/matthew3,Missing Data?,"I am a bit confused still as to the layout of the database that we have been given. Isn't the Days In Hopsital _YEAR supposed to tell us who is elligible for a given year to file claims? I made a SQL call to pull members for Year 2 that had claims, but nothing in the DaysInHopsital_Y2 table (which I named LOSY2 to shorten it. select c.MemberID, count(c.MemberID) as 'count'from claims as c where YEAR in ('y2')and MemberID not in (select memberID from LOSY2)group by c.MemberIDorder by [count] desc This call found many 19469 members who were not elliglbe who made had claims in Y2? Like members 42758 and 86970 ? What is going on here?",0,None,1 Comment,Fri Jul 22 2011 01:20:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/722,/competitions/hhp,274th
/jopisch,Claim_Amount variable does not appear,"Hi, Claim_Amount does not even appear in the headings when I import the Test data (a small part of it, of course). in Excel. Thanks",0,None,1 Comment,Fri Jul 22 2011 10:58:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/724,/competitions/ClaimPredictionChallenge,None
/dslate,Incorrect number of teams on leaderboard?,"This is a very minor point, but the number of teams shown at the bottom of the leaderboard always seems to be one greater than the rank of the last team. Is this a bug, or am I missing something? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1177/z",0,None,6 ,Sun Jul 24 2011 02:37:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/725,/competitions/hhp,10th
/qubie7895,Goal is sorting?,Anyone who can help: from what I understand it seems that the actual predicted claim dollar amount does not matter (contrary to what the competition data page suggests). Instead it seems as if the the goal is to sort the claims by amount (if I am understanding the GINI index correctly). Can anyone clarify? The GINI index seems only to care about ordering.,0,None,8 ,Sun Jul 24 2011 16:59:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/726,/competitions/ClaimPredictionChallenge,None
/zaccaksolutions,Scoring of ordinal Variables,I'm wondering how people are scoring their ordinal variables. For example: > summary(members$AgeAtFirstClaim) 0-9 10-19 20-29 30-39 40-49 50-59 60-69 70-79 80+ 5753 10791 11319 8505 12435 16111 13329 12622 14514 7621 For numbers that have a start and end boundary I take the midpoint: 0-9 turns to 4.5 10-19 turns to 14.5 ... How are people treating 80+ (6.7% of the data) and all the missing values (5% of the data) in order to get meaningful sense of the data?,0,None,2 ,Mon Jul 25 2011 03:59:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/727,/competitions/hhp,544th
/thomas1934,There was a problem with your submission...,"I've tried submitting my results several times...compressed, uncompressed, laid out like the example file and, most recently, with a two column CSV file...column 1 is the RowID and column 2 are my predictions. To the best of my knowledge I've done everything according to the guidelines...but it simply won't accept the file. What's going on? Thanks, Mike",0,None,6 ,Mon Jul 25 2011 16:56:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/728,/competitions/ClaimPredictionChallenge,70th
/gurch13633,mistake on evaluation page,"The ""Evaluation"" page states: A contestant’s model should predict, for each editor from the dataset, the number of edits made in the first 5 namespaces of the English Wikipedia ... Namespaces 0 to 5 are included in the data. That's six namespaces in total, not five.",1,bronze,3 ,Mon Jul 25 2011 22:51:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/730,/competitions/wikichallenge,None
/gurch13633,using other data?,"The rules state we can use any pre-September 2010 data that is suitably licensed, which means anything from Wikipedia's logs from before that date. I assume this means we are allowed to extract additional information about the users in the dataset. For example, let's say we decide that if a user has been permanently blocked from editing, we want to predict zero future edits from that user. The dataset lacks any information on whether the user is blocked, but if we obtained such information from the wiki we could use it in our predictions, provided we were careful only to consider blocks made before September 2010. However, since usernames are not provided and the supplied user IDs aren't the real ones, finding such information -- or anything else about the user that isn't in the data set -- is non-trivial. Since the revision IDs haven't been obfuscated, those can be used together with a data dump (or the API on the live site) to obtain the user name, and from that, block logs. But I'm not clear on whether this is against the rules; the obfuscation of user IDs seems to suggest our algorithm shouldn't know the user name or the real user ID. Is this allowed?",0,None,2 ,Mon Jul 25 2011 23:20:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/731,/competitions/wikichallenge,None
/vishal17,Newbie - Data Question,"I am little confused with the Data - There are 3 sets HHP_release1, HHP_release2, HHP_release3 - Is HHP_release1 & HHP_release2 subset of HHP_release3. So if I am just starting, should I just work with HHP_release3?",0,None,4 ,Tue Jul 26 2011 03:56:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/732,/competitions/hhp,250th
/richardfraccaro,The Good and the Bad of Kaggle,"Hello to all Kaggle devotees, Let there be no doubt that I think Kaggle is a fantastic concept and I for one am glad to see it flourishing. However, in the mad flourish to get the smallest RMSE or Gini coefficient, I hope that participants do not lose sight of some important principles about analytics that would appear to be contrary to the goals of Kaggle. If you are a follower of Analyst First (analystfirst.com), then you will be aware of the view in that movement that ""Analytics is an Intelligence activity"". Analytics is just part of solving problems and building solutions in an organisation. From understanding the broader business problem to considering how to manage change arising from the insights gained through modelling, it is more than just loading up data into a software package and running some cleverly-designed algorithms. Another consideration is that models (i.e. predictive models) need a robustness that makes them reliable regardless of noise and inherent fluctuations in the data. Seeing some of the highly specialised solutions being posited for the various competitions, I can't help wonder whether the model is going to be the reliable rock upon which better business/domain understanding is based. I recall a leading banking luminary speaking at an IAPA conference some time ago (years? anyone remember who I am talking about? name is on the tip of my tongue...) saying something along the lines of ""I have plenty of people advocating data mining algorithms that no doubt will do better than the logistic regression we use for loan default analysis, but the point is the logistic regression has long term stability and I know it is robust against the bumps and anomalies that come along in the data now and again"". Kaggle is a great place to hone your data scientist skills, but lets remember the broader picture of where this analytics fits. Would be great to hear the opinion of others on this topic. Cheers, Richard P.S. So you see, I am not actually saying kaggle is ""bad"" per-se... that was just to get your attention :)",0,None,4 ,Tue Jul 26 2011 08:16:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/734,None,None
/boooeee,Vendor,"Would it be possible to get some elaboration or high level examples of what the ""Vendor"" field represents? I understand PCP and Provider ID, but I'm not clear on Vendor. For example, for a visit to a Specialist, the PCP identifies the members Primary Care Provider (which is not, in general, claim specific) and the Provider ID identifies the Specialist that the member visited (I'm assuming). What would the Vendor represent? Similarly, for an Inpatient Hospital stay, the Provider ID identifies the Hospital the member went to (I'm assuming). What does Vendor represent in this case?",0,None,3 ,Tue Jul 26 2011 08:44:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/735,/competitions/hhp,16th
/deepak2,claim amount ,"hi , do we need to predict values for cases where claim amounts equals to zero since generally we do not consider zero values for severity modeling?",0,None,1 Comment,Tue Jul 26 2011 11:03:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/736,/competitions/ClaimPredictionChallenge,26th
/keiththerring,Evaluation/Test Set,"Apologies if this has already been stated. Can you provide more information on the set of users, T, that our algorithms will be evaluated against. Likely T comes in the form of a random X element/user subset of U, chosen uniformly from all size X subsets of U. Example universe sets U include: U = Set of all non-blocked users with at least one edit in the period Jan 1 2001 - Aug 31 2010. U = Set of all non-blocked users with at least one edit in the period Sep 1 2009 - Aug 31 2010. U = Set of 44514 users in original training set. If no information is provided, I will assume we should be tuning our algorithms to the most general case, i.e. U = set of all users. Thanks.",0,None,2 ,Wed Jul 27 2011 04:18:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/737,/competitions/wikichallenge,2nd
/del=33e3fc4ba6629bb7,Important Clarification Question,"This perhaps is obvious, but after reading the FAQs, the Great10 handbook, the explanation on the kaggle website, and arguing several times with ourselves, my team is still confused as to one, very important point in this challenge: Are we attempting to find the ellipticies of the galaxies, post-lensing, OR, are we trying to find the ellipticies of the galaxies, pre-lensing? In other words, are we trying to simply find the ellipticity of the denoised/deconvoluted galaxy in the image, OR are we trying to somehow model the effect of lensing, and determine the ellipticity of the original ""simulated galaxy,"" when we only have the post-lensing images available to us. Thanks for the help",0,None,17 ,Wed Jul 27 2011 04:41:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/738,/competitions/mdm,None
/chrisraimondi,R Help - Machine Learning,"[quote]I fear I am hijacking this thread for R help, but here it goes. Thanks to Chris for answering the question I asked last time. The answer helped, but it brought up a new question. So I now have the predict function looking for my y2 data to predict with. However, I want to use my Y3 data. The columns are not named the same, so how do I fudge it to use the model from before? I came up with a cludge, but I would prefer something elegant and fast. Also, I when running a random forest, what is the expected resulting time to run. I am running it on my 70,000 x 50 data table, with 5 trees, and R goes into not responding mode... This seems similar to what was described on the Nabble forum: [Link]:http://r.789695.n4.nabble.com/Large-dataset-randomForest-td830768.html I am answering this here in order to split up the topics better.... [quote]...The columns are not named the same, so how do I fudge it to use the model from before? I came up with a cludge, but I would prefer something elegant and fast. IMHO there is no fast way to do this - you have to invest the time in naming, cleaning, organizing the data up front. Everyone hates this, but I have spent the VAST majority of my time on this part. Think ahead - what do you want to predict - and how should you name these in order to scale. As you have already discovered - naming them Y2XYZ and Y3XYZ doesn't work out real well. I would recomment making three seperate data frame - I call mine right.a, right.b, and right.c. right.a has claims from year one and DaysInHospital from year two right.b has claims from year two and DaysInHospital from year three right.c has claims from year three and DaysInHospital from year four(which is what you want to predict) I use the a, b, and c as it was hurting my brain to try and think of year numbers when you are using year one data to predict year 2 DIH. All three of these files have the same columns and same column names. If you do it this way - it makes it earier to train and predict. Also - put the column you want to predict as THE FIRST column - I will tell you why in the next section... [quote]70,000 x 50 data table, with 5 trees, and R goes into not responding mode A couple things - do you really mean 5 trees or mtry of 5? Some general rules of thumb I have found: 1) Doubling the rows takes around 3.5 times as long 2) The number of columns has little impact if you pick the same number of mtry (it is pulling that many columns whether you have 1000 or 50. 3) If you have factors - they will increase the amount of time - make sure you aren't coding stuff as factors you don't mean to. 4) Start off small and time how long it takes - try 50 trees with 100 rows. This should be pretty quick. If so - bump it up. 5) Don't use the formula interface. - instead of randomForest(DaysInHospital ~ A + B + C, ...) use randomForest(right.a[,-1], right.a[,1]) This is why I said to put the y value as your first column - it makes it easier to tring for when you can use [,-1] to train on everything except that column, and [,1] to choose that as the y value. No matter how many columns you add - you can always use this method. As far as the amount of time goes - I don't know about only 5 trees - I assume there is some overhead, but in general for the default setting - 500 trees - and 50 vars - I don't think you will get it to run on a system with less than 8 gigs - especially if you are using the formula interface. If you cut the mtry down to 2 or 3 - and use 100 trees - my guess is somewhere between 20 minutes and an hour or so. I found using the formula interface would cramp my style at over ~30000 rows - even if I adjusted for a small number of trees.",2,bronze,11 ,Wed Jul 27 2011 04:44:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/739,/competitions/hhp,20th
/pgraff,Submission error,"Hello, I've recived the following error when trying to submit a new entry that I hadn't received before. ""String was not recognized as a valid DateTime."" Can any of the admins explain what's going on and/or fix it? Thanks. EDIT: I was just able to make a submission without getting the error. I'll assume it was a temporary issue that is now fixed.",0,None,1 Comment,Thu Jul 28 2011 12:12:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/741,/competitions/hhp,350th
/vanushvaswani,Cross validation,"Just wondering, for the top players, do your models give similar RMSE (~0.015) when you use the training set as input?",0,None,2 ,Fri Jul 29 2011 09:44:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/742,/competitions/mdm,47th
/dansbecker,Can I boost your score on my way out?,"I've moved on to new projects. As a last experiment, I want to see if I can significantly improve your score by incorporating my predictions. I've read about boosting, but haven't tried it yet. I want to send someone my predictions and see if is useful to them. If this helped someone get in the money, I wouldn't want ask for any part of it. ----- Overview of my algorithm: My algorithm was fairly straightforward, and I think it was different from what most people here are using. I created variables from the data that I thought would be predictive. I then ran an OLS regression on training data DIH=beta*variables I used the fitted values from that regression as an index of predicted health usage. I ran a very simple non-parametric estimator to map the index to predictions that minimizes rmsle. ------- What I was going to do next (In case anyone cares): I'd like to include a quite a few more variables (e.g. more dummy vars for specific vendor, more interaction terms), but I think I have a method to reduce overfitting when I do so. I would have included these variables in a multi-level estimation framework that shrinks imprecise estimates towards group means. I was going to use methods from Gelman and Hill's book. This incorporate ""regression to the mean"" to reduce overfitting. I was going to implement this in PyMC, but you could do it in R too. I thought this was a really good idea (and I thought it was the big advantage of using a regression in the first stage rather than random forests.) I don't have time to follow it through, but hopefully the idea interests someone. ----- How to take me up on the offer: If kaggle says I can make my predictions or my code publicly available, I'll do so. I cleaned the data in stata and did estimation in python. If I'm only allowed to give it to one team, I'd like to see if it helps someone that already has a better algorithm than me. Drop me a line though. I'm out... have fun predicting.",3,bronze,20 ,Fri Jul 29 2011 14:17:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/744,/competitions/hhp,2nd
/jeffmoser,SQL Schema and Aggregate Stats,"In case anyone finds it useful, here was the schema I used for the import: USE DunnhumbyChallenge;CREATE TABLE [training]( [customer_id] [int] NOT NULL, [visit_date] [date] NOT NULL, [visit_spend] [money] NOT NULL);CREATE TABLE [test]( [customer_id] [int] NOT NULL, [visit_date] [date] NOT NULL, [visit_spend] [money] NOT NULL);SELECT COUNT(*) FROM training;-- 12146637SELECT COUNT(DISTINCT customer_id) FROM training;-- 100000SELECT SUM(visit_spend) FROM training;-- 500500131.90SELECT COUNT(*) FROM test;-- 1008142SELECT COUNT(DISTINCT customer_id) FROM test;-- 10000SELECT SUM(visit_spend) FROM test;-- 41101802.52 For previous forum discussion on importing data, see [Link]:http://www.kaggle.com/c/ClaimPredictionChallenge/forums/t/711/importing-to-sql-server-and-aggregate-statistics.",0,None,4 ,Fri Jul 29 2011 22:08:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/745,/competitions/dunnhumbychallenge,None
/jeffmoser,Fun Fact: Training spend data follows Benford's law,"One fun aspect of working with real data is that you get to observe real-life phenomenon. For example, [Link]:http://en.wikipedia.org/wiki/Benford's_law (also known as the ""first-digit law"") states: ""in lists of numbers from many (but not all) real-life sources of data, the leading digit is distributed in a specific, non-uniform way. According to this law, the first digit is 1 about 30% of the time, and larger digits occur as the leading digit with lower and lower frequency, to the point where 9 as a first digit occurs less than 5% of the time."" A simple SQL query on the training dataset of: SELECT LEFT(CONVERT(VARCHAR(10), visit_spend),1) AS leading_digit, COUNT(*) AS total_matchesFROM training WHERE LEFT(CONVERT(VARCHAR(10), visit_spend),1) != '0'GROUP BY LEFT(CONVERT(VARCHAR(10), visit_spend),1)ORDER BY COUNT(*) DESC Gives us the raw data with which we can compare the data: digit count actual_probability benford_expected_probability abs diff 1 3368866 27.9% 30.1% 2.2% 2 1912850 15.8% 17.6% 1.8% 3 1483366 12.3% 12.5% 0.2% 4 1258157 10.4% 9.7% 0.7% 5 1109766 9.2% 7.9% 1.3% 6 933048 7.7% 6.7% 1.0% 7 787636 6.5% 5.8% 0.7% 8 668351 5.5% 5.1% 0.4% 9 573359 4.7% 4.6% 0.1% Sure enough, the data from millions of shopping visits demonstrates the validity of this law. I just thought this was an interesting application of something you hear about all the time in statistics discussions.",9,silver,3 ,Fri Jul 29 2011 23:44:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/746,/competitions/dunnhumbychallenge,None
/eyal10942,Problem with submission,"Sorry, but I am new here. I submitted a results file based on the specified format: header row, 10001 rows total, 3 columns with last column being a number. and yet I got an error message saying : ""There was a problem with your submission"" with no explanation. what could be the problem? thank you",0,None,3 ,Sat Jul 30 2011 11:16:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/748,/competitions/dunnhumbychallenge,135th
/salimali,naive solution ,"Here is a solution done quickly in SQL. The logic is that the customer will spend exactly the same as the last vistit, and there will be the same gap to the next visit as there was between the last two visits. This will give you 6.77, which appears to be not that good. select *, Rank() over (Partition BY customer_id order by visit_date ASC) as visit_numberinto #temp1from testselect a.*,DATEDIFF(DD,b.visit_date,a.visit_date) as days_since_last_visitinto #temp2from #temp1 a inner join #temp1 bon a.customer_id = b.customer_idand a.visit_number = b.visit_number + 1order by a.customer_id, a.visit_dateselect customer_id, max(visit_number) as max_visitinto #temp3from #temp2group by customer_idselect #temp2.*into #temp4from #temp2 inner join #temp3on #temp2.customer_id = #temp3.customer_idand #temp2.visit_number = #temp3.max_visitselect customer_id,dateadd(dd,days_since_last_visit,visit_date) as visit_date,visit_spend from #temp4 order by customer_id",0,None,6 ,Sat Jul 30 2011 12:50:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/749,/competitions/dunnhumbychallenge,206th
/salimali,IP Question,"This is a fantastic data set to play with and use to develop some intersting new techniques that could prove highly useful to Dunnhumby - its great to see companies catching on to the usefullness of Kaggle now. My question is regarding the need to reveal your algorithm in order to collect the prize, there is no mention in the rules about this.",0,None,5 ,Sat Jul 30 2011 23:34:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/750,/competitions/dunnhumbychallenge,206th
/sashikanthdareddy,Question about evaluation,""" For each test customer in the dataset your Model needs to provide: a prediction of the first date on or after 1 April 2011 that the test customer will next go shopping AND a prediction of the test customer’s dollar spend on that shopping visit. The prediction will be classified as correct if the date AND the dollar spend is correct (a “Correct Visit”). Dollar spend will be deemed to be correct if it is within $10 of the actual spend, an under or over prediction of equal to or more than $10.01 being incorrect. "" From above, the predicted spend amount could be within $10 of the actual amount, what about the predicted date of next visit? can it be within x no. of days of the actual visit date or does it have to be exact?",0,None,1 Comment,Sun Jul 31 2011 20:01:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/751,/competitions/dunnhumbychallenge,None
/woshialex,training score and submission score,"deviding all training data to 70% for train and 30% for test(to avoid overfiiting), the score I get is much much lower(better) than for the submission score I get. Do other people have similar situation? Thanks",0,None,5 ,Mon Aug 01 2011 07:43:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/753,/competitions/hhp,210th
/del=fdab3e126c5082ed,Evaluation,1) Hi its quite unclear what the evaluation rules are going to be ? For the test sample do we just predict a) If the test bed is likely to vist the store on 4-1-2011 b) what the $ amount i? 2) Should we predict the visit and amounts for all the days from 4-1-2011 until 6-1-2011 3) What is the criteria is it MAPE? 4) what about expected # visits and total $ for the complete test bed. What I mean is for the individual predictions you can be $10 off but the aggregate time series for the test bed is quite predictable?,0,None,20 ,Mon Aug 01 2011 16:18:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/754,/competitions/dunnhumbychallenge,None
/jjjjjj,Clarification Request: How many entries do we select for the milestone prize?,I can see it either as 1 or 5 depending on how I interpret the rules. Thanks,0,None,1 Comment,Mon Aug 01 2011 18:42:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/755,/competitions/hhp,113th
/arthur,Leaderboard test data,Is the 30% of test data used for calculating the leaderboard randomly selected? Or has it been selected with the intention of throwing those who tweak their algorithms to approach 100% when the actual data could be a lot poorer. How many submissions can we make?,0,None,3 ,Mon Aug 01 2011 19:38:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/756,/competitions/dunnhumbychallenge,None
/guyko81,Holidays,Do we know state holidays of the country where the data was collected? Which country is it? thanks,0,None,3 ,Mon Aug 01 2011 19:55:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/757,/competitions/dunnhumbychallenge,None
/adamscruggs,SQL Server Denali Analytic Functions,"Hello everyone - I just downloaded and installed the CTP3 version of SQL Server 11 codename ""Denali"". Of potential relevance to this contest, it supports the LEAD() and LAG() analytic functions which you previously needed to use Oracle XE (or a horrible workaround in SQL Server) to access. Example: SELECT TOP 5 [customer_id] ,[visit_date] ,[visit_spend] ,LEAD(visit_spend) OVER(PARTITION BY customer_id ORDER BY visit_date) next_spend FROM [Shopping].[dbo].[training] Results: CUSTOMER_ID VISIT_DATE VISIT_SPEND NEXT_SPEND 100 2010-04-06 111.79 117.85 100 2010-04-13 117.85 21.54 100 2010-04-16 21.54 20.01 100 2010-04-18 20.01 116.52 100 2010-04-20 116.52 20.02 Hope this is helpful for someone. Download [Link]:http://www.microsoft.com/betaexperience/pd/SQLDCTP3CTA/enus/default.aspx.",5,bronze,3 ,Mon Aug 01 2011 21:00:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/758,/competitions/dunnhumbychallenge,None
/skosian,Duplicate records in Claims,"There are about 38 thousand records in the Claims dataset that have one or more exact duplicates in all columns. Is this a data error? One possibility is, becaues we don't have the exact date, the same procedure has been done on multiple days of the same DSFS. With the limited number of columns that we have in the Claims data, it would be impossible to tell apart one claim from another if they are less than a month apart, and have everything else equal. Any thoughts? Which is it, error in data or legitimate duplicates? regards, Sassoon",0,None,6 ,Mon Aug 01 2011 23:47:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/759,/competitions/hhp,2nd
/arthur,Customer 83,Is Customer 83 intentionally missing from training.csv?,0,None,5 ,Tue Aug 02 2011 01:12:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/760,/competitions/dunnhumbychallenge,None
/jseetao,What constitutes a visit?,"There are a few observations where the customer is listed as spending $0. What kind of observational units does this dataset cover? Is it any visit that involves a transaction, or is it just visits that involve purchases?",0,None,4 ,Tue Aug 02 2011 01:49:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/761,/competitions/dunnhumbychallenge,87th
/roobs5218,an example simple solution,"Here's a pretty simple model which achieves 12.23% correct: For each customer: predicted_amount := median of most recent 17 amounts spent predicted_date := max(1st april 2011, date of most recent visit + median number of days between successive visits)",0,None,4 ,Tue Aug 02 2011 14:19:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/762,/competitions/dunnhumbychallenge,147th
/iamivo,Never returning customers,Hi there! I have some simple questions regarding customers not returning ever after 2011-03-31. The training dataset contains 49 customers of this kind. Does the test dataset contain customers who never actually came back later to buy something? How can I mark a customer in the test dataset who did not shop again?,0,None,5 ,Tue Aug 02 2011 14:59:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/763,/competitions/dunnhumbychallenge,48th
/analtiks,Model or business rules,"I am new to the competition,and I have some questions regarding the competition 1. Can the prediction of the visit and spend, can be based on business rules, or specific model need to be built 2. Does the data need to be analysed using any specific software, or is it software neutral Your response is appreciated",0,None,10 ,Tue Aug 02 2011 18:38:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/765,/competitions/dunnhumbychallenge,None
/antipov,What business value will a good predictive model bring?,The task is clear from the technical point of view. But why is it valuable for a retailer to predict when and how much a buyer will purchase?,0,None,7 ,Wed Aug 03 2011 01:18:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/766,/competitions/dunnhumbychallenge,None
/woshialex,what can I improve?,"on the trainning data, I got roughtly 39% correct date, 34% correct spend, and 13.5% for both. Which part could I improve? date or spend? any idea? Thanks.",0,None,4 ,Wed Aug 03 2011 19:16:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/767,/competitions/dunnhumbychallenge,55th
/blacksou,Forecasting the future using future information...,"I had a quick look at the data provided and I really don't see what is the interest of this competition. You have to forecast the future behavior of some customers in April 2011 but you already know what other customers did in April 2011... It's like forecasting what will be the price of silver knowing the price of gold, it will give you a great forecast on the paper but nothing useful...",0,None,6 ,Thu Aug 04 2011 11:46:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/768,/competitions/dunnhumbychallenge,150th
/frandom,Drug and lab count improvement,Hi all - would anybody be willing to volunteer information on how much improvement was attained with the inclusion of drug and lab data in your model? Viktor,0,None,2 ,Thu Aug 04 2011 15:25:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/769,/competitions/hhp,144th
/del=92525096498f3bbd,Open training.csv file (last row problem),I opened the csv file using notepad++ how many rows should it have without header? 12146637 rows?,0,None,5 ,Fri Aug 05 2011 07:00:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/770,/competitions/dunnhumbychallenge,None
/bobby4834,Withdrawal,"Hello, Hypothetical question: If a contestant makes first place position and/or wins milestone prizes, is it legally binding that they must win the final prize if they remain in first place at the end of the competition? Thank you, Bobby",0,None,6 ,Fri Aug 05 2011 16:39:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/771,/competitions/hhp,None
/erdman,downloading the data from kaggle to remote linux instance,How does one download the data to a remote (EC2) linux instance? Neither of these are working for me ... wget http://www.kaggle.com/c/ClaimPredictionChallenge/Download/test_set.7z wget --http-user=myusername --http-password=mypassword http://www.kaggle.com/c/ClaimPredictionChallenge/Download/test_set.7z My upload pipe is a little small to d/l here first then u/l via scp ... there should be a direct way to do it?,0,None,4 ,Fri Aug 05 2011 18:43:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/772,/competitions/ClaimPredictionChallenge,18th
/zachmayer,Model building,"As I'm building my models, I've split the training set into 2 parts: Train: April 2010-March 2011 Test: April 2011 I've dropped all but the 1st visit from the test set. does this seem like a reasonable way to partition the data to evaluate my models?",0,None,2 ,Fri Aug 05 2011 21:03:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/773,/competitions/dunnhumbychallenge,None
/alexkromwell,Deleted Edits,"It appears there are several ways in which an edit may be ""deleted"" from Wikipedia. The corresponding user may be blocked or deleted. The edit may be reverted. etc. Further it appears some ""deleted"" edits are still shown by wikipedia (with a strike through them) and others are not visible at all. My question is: which if any of these ""deleted"" edits count when calculating the total edits for a user in the Sep10-Jan11 range. Will all edits be counted regardless if they were later deleted? Or maybe all edits so long as they were not deleted before Jan11? Or maybe just the strike-through/visible ""deletions"" are counted. In short some clarification on this would be helpful. This is a relatively minor issue, but may make the difference in the final model tweaks/performance.",1,bronze,3 ,Sat Aug 06 2011 05:53:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/774,/competitions/wikichallenge,None
/timwangstats,MemberID match between Claims and DaysInHospital table,"1) In CLAIMS table, by selecting those MemberIDs with year=Y2 , the members are those filed claims in Y2. (also see Year definition). 2) DaysInHospital_Y2 contains only those eligible members in Y2. If the above understanding is correct, then the MemberID in 1) should match with those in 2). But this is not true. Any explanation? Tim",0,None,9 ,Sun Aug 07 2011 04:40:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/775,/competitions/hhp,None
/jxiesd,why some members have non-zero days in hospital but no claims in the same year,I found many of these cases. I think it is strange.,0,None,2 ,Sun Aug 07 2011 09:50:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/776,/competitions/hhp,5th
/wmestrom,Rules for the prize winners,"Hi, I have a question about the rules of the Heritage Health Prize. The (milestone) prize winners have to submit code and documentation to reproduce the results but some things are not entirely clear to me: to what extend the results have to be identical? (for example small differences in the random number generator may give different results although they should be similar) in how much time should the results be reproduce-able? (my current best result is a mix of many models each may take minutes to hours to generate) the algorithm should produce similar results on a new dataset, this doesn&#39;t sound very realistic: I don't think there is any way to win this competition without optimizing for this specific dataset. Results on other datasets may be very bad with the given optimizations. Probably very good results can be produced by the same algorithm after some tuning but this is a process that requires a lot of knowledge about the used algorithms and (a lot of) time and patience. I hope someone from Kaggle can give an answers to these questions since these answers may have a big inpact on what I will select as my final submission... Thanks, Willem Mestrom",0,None,7 ,Mon Aug 08 2011 06:56:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/777,/competitions/hhp,1st
/arroyito,How to keep competitive after Milestone 1?,"To qualify for the Milestone 1 prize, the qualifying algorithm will be published in this website: ""conditional winners will have 21 days from receipt of notification to document their methodology as described in Rule 12 above. Sponsor will deliver the Prediction Algorithm and documentation to the judges and also post the information on the Website for review and testing by other Entrants. ..."" This means that any team can make a derived work from the algorithm, allowing such team to qualify for the final prize with less effort. This is not fair. Am I missing something?",0,None,6 ,Tue Aug 09 2011 03:07:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/778,/competitions/hhp,1159th
/rodinleg,Is the Leaderboard evaluated on random custome ids?,Was just wondering if the leaderboard gets evaluated on random customer ids and the correct visits or is it like the first 3000 customers?,0,None,1 Comment,Tue Aug 09 2011 12:04:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/779,/competitions/dunnhumbychallenge,193rd
/thedoors0,Bit confused with some info,"""Note: You can select up to 5 submissions that will be used to calculate your final leaderboard score. If you do not select them, up to 5 entries will be chosen for you based on your most recent submissions. Your final score will not be based on the same exact subset data as the public leaderboard, but rather a different private data subset of your full submission. Your public score is only a rough indication of what your final score might be. You should choose entries that will most likely be best overall, and not necessarily just on the public subset."" This is mentioned on the submissions page. isn't your winning decided on basis of your best score until now? Is it like your score is some average of the best 5? Can someone please clarify. Thank you.",0,None,1 Comment,Wed Aug 10 2011 00:03:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/780,/competitions/dunnhumbychallenge,179th
/cnie9178,A question on ClaimsTruncated and SupLOS,"It's said in the data dictionary that ClaimedTruncated: Members with truncated claims in the year prior to the main outcome are assigned a value of 1, and 0 otherwise. I assume there is a correspondence relationship between SupLOS in the Claims table and the ClaimedTruncated in DaysInHospital table. I found something interesting in the data set. In DaysInHospital_Y3.csv, we can find the patient: MemberID ClaimsTruncated DaysInHospital18253899 1 3 Accoriding to the dictionary, the member 18253899 should have ""truncated claims in the year prior to the main outcome"", that's 18253899 should have truncated claims in Y2. However, when I search this patient in the claims table I found all the SupLOS values are 0: memberid suplos18253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 018253899 0 It means all the claims in Y2 in the claims table is not truncated at all. Is it a discrepency in the data or just my misunderstanding of something? One more example is in the opposite way, you can find one patient in DaysInHospital_Y3.csv: MemberID ClaimsTruncated DaysInHospital 4706710 0 0 It means, 4706710 does not have truncated claims in Y2. However, the corresponding claims data for her in Y2 is: memberid suplos4706710 14706710 04706710 0 It's shown that this patient has one truncated claim in Y2. Any advice is highly appreciated.",0,None,1 Comment,Thu Aug 11 2011 17:16:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/781,/competitions/hhp,472nd
/olegvasilyev,"Claims Truncated: Different definition in Y1, Y2 and Y3","This question was already asked in the forum, but I could not find a clear answer. It seems that definition of ""ClaimsTruncated"" changed every year. The ""ClaimsTruncated=1"" samples have different distribution of number of claims in each year. In the first year number of claims for such samples ranges from 3,5,6 etc. up to ...40,41,42,43. (Number of samples corresponding to last four values are: 237, 217, 116, 581.). In the second year all ""ClaimsTruncated=1"" samples have same number of claims: 43. And in the third year all ""ClaimsTruncated=1"" samples have number of claims = 44. As I understand, the best explanation given or assumed so far in the forum is that the year 3 had cut-off =44; the year 2 had cut-off =43 (why different?), and the year 1 had of course completely different definition, and somehow the difference is related to ""ProcedureGroup"" data. Is there any better info on this, any clarification, or definitions of ""ClaimsTruncated"" that would be easy to understand? Thanks",0,None,7 ,Fri Aug 12 2011 02:49:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/782,/competitions/hhp,13th
/booksiberia,"customers in test set aren't ther same as the customers in train set, correct?","so, for example, customer id'ed as customer 40 in test set has nothing to do with the customer 40 in training set. according to my reading of the information given for this particular competition. On the other hand, customer 40 in the test set is exactly the customer to predict the next visit date/visit_spend for in the entry submission, correct? Please confirm or correct me on this matter, please?",0,None,5 ,Sat Aug 13 2011 22:57:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/783,/competitions/dunnhumbychallenge,None
/cnie9178,Can I use the data for research?,"I mean, can I use the data to publish? Definitely, it is not allowed for the Health Prize. However, I did not see relevant information on whether we can use this data set for research like publishing a paper. Thanks",0,None,6 ,Sun Aug 14 2011 22:03:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/784,/competitions/dunnhumbychallenge,None
/andywocky,Clarifying Rule #13 for Milestone 1 - Open Questions & Issues,"@Anthony There have been several concerns raised in the forum about the impact and interpretation of Rule 13 on the contest, which states that conditional milestone winners must disclose their ""Prediction Algorithm and documentation"" to the website for competitor review and commentary? In particular, there are unanswered questions with regard to inconsistencies and/or potentially unfair advantages arising from this rule. Can you comment on the following specific items so the community has firm, consistent and realistic expectations as we approach the Milestone 1 date? Is it inconsistent, as Sali Mali pointed out in another thread, to require documentation of the winning algorithms be publicly disclosed to all competitors given Rule 20, Entrant Representations? It seems that this disclosure will encourage other competitors to use aspects of the winning Prediction Algorithm which cause violation, directly or otherwise, of (i) - (iii) and possibly (iv) of that Rule. Can you clarify that code, libraries and software specifications are *not* required to be publicly disclosed to competitors? These materials and intellectual property appear to be referenced separately from ""Prediction Algorithm and documentation."" Will Kaggle or Heritage have a moderation or appeals process for handling competitor complaints? From the winning entrant's point-of-view, they would not want to be forced through the review process to allow back-door answers to code and libraries which accelerate a competitor's integration of the winning solution. Can you comment on the spirit and fairness of the public disclosure of the Prediction Algorithm documentation and it's impact on competitiveness? In particular, if the documentation truly does meet the requirement of enabling a skilled computer science practitioner to reproduce the winning result, then this places the winning team at an unfair disadavantage: all competitors will have access to their algorithms and research, in addition to the winning algorithm. Can you provide more detailed clarification on the level of documentation required by conditional milestone winners? The guideline provided by the rules would cover a range of details and description spanning from ""lecture notes"" to ""detailed tutorial"" to ""whitepaper"" to ""conference paper"", etc. Can you comment on the reproducibility requirement? For example, it is possible to construct algorithms with stochastic elements that may not be precisely reproducible, even using the same random seed-- is it sufficient for these algorithms to reproduce the submission approximately? What if they don't reproduce exactly, or reproduce at a prediction accuracy that is worse than the submission score, possibly worse than other competitor submissions? Thanks, Andy",2,bronze,33 ,Mon Aug 15 2011 04:49:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/785,/competitions/hhp,265th
/rafisher1,Validation set sampling strategy,"How was the validation set generated? Diederik mentions it spans Jan 01 to Dec 07 - were users sampled and then their complete revision histories from this time window pulled, without any additional filters? Then do the validation_solutions counts correspond to the 5 months following Dec 07? Why are there many more user_id's in validation_solutions than in validation? Thanks.",1,bronze,9 ,Mon Aug 15 2011 09:14:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/786,/competitions/wikichallenge,43rd
/uriblass,can the length of stay for claims overlap?,I ask it because I see that there is a person who has 17 claims with 4-8 weeks length of stay in one year,0,None,1 Comment,Mon Aug 15 2011 19:58:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/787,/competitions/hhp,340th
/jxiesd,How will the final scores be evaluated,"We can select up to 5 entries as final to be evaluated. Is the final score the average of the 5 selected entries, or the highest/lowest among the 5 entries? Can the Organizer specify this or there is already a rule for this? Thanks",0,None,1 Comment,Tue Aug 16 2011 02:44:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/788,/competitions/hhp,5th
/pgraff,Image processing,"Hi everyone, Now that the competition is just about over, I am curious as to how people processed the images to remove or minimise the noise effects? I tried simple filters in MATLAB and a simple implementation of the CLEAN algorithm ( [Link]:http://web.njit.edu/~gary/728/Lecture7.html), but only managed to obtain results as good as on the original images at best. Regards, Phil",1,None,12 ,Thu Aug 18 2011 01:52:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/789,/competitions/mdm,36th
/ahassaine,Are the results correct??,"Hello, Is is normal that the wall has moved from about 0.015 to about 0.02?",0,None,31 ,Thu Aug 18 2011 02:03:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/790,/competitions/mdm,3rd
/chrisraimondi,Anyway we can keep the leaderboard results archived?,"Well I know we CAN in theory :) but ... I noticed the Dark Matter competition ended - and there was some talk about image_doctor's come from behind victory. However - I do not see the 30% leaderboard. I believe Kaggle used to show both for complete contests. I know it might be confusing to some, but I though/think it was/is useful to have both. I think especially to show overfitting and other issues that can occur (give's people some hope [that aren't first on the leaderboard] in that the leaderboard TRULY doesn't necessarily reflect the true results). I also think it is valuable/interesting for historical purposes. If confusion is the issue - you could put a link at the top of the ""Leaderboard"" and link to the ""Results"" page. Just a suggestion!",0,None,2 ,Thu Aug 18 2011 04:33:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/791,None,None
/astrotom,Analysing Results ,"Dear All, Thank you all for an exciting and enlightening experience in this competition. In designing this competition we had to be careful to make it accessible, but such that it couldn't be overfitted, and so that the algorithms developed will be useful on real astronomical imaging. In real data we want algorithms that can accurately measure the ellipticities of galaxies, and this is the metric on which the leaderboard was scored. There is a secondary effect in that for real data dark matter acts (to first order on small areas) to add a very small mean value to the ellipticities of a population of galaxies (called ""shear"") - the more dark matter the larger the mean. In real data we do not know what this is, and what we need are algorithms that can accurately determine this by measuring the ellipticities of galaxies without any assumption about this; we have no leaderboard feedback on real data. To test the ability of algorithms to do this the smallest change we could make was to simulate this scenario in the challenge by having a zero mean for the public data and a non-zero mean in the private data. We could not reveal this during the challenge unfortunately but it was of paramount importance for the usability of the algorithms. This explains some of change in the leaderboard. In post-challenge analysis of results we are seeing that some methods have performed remarkably well in this secondary aspect, and we will be in contact with you. A further reason for the change in the leaderboard was due to the ""pick 5"" rule that Kaggle employs at the end of competitions. In scenarios where the public and private data is different this can cause discrepancies, this was an unforeseen issue and something that will be addressed in future Kaggle challenges. In fact DeepZot did have the best overall score but unfortunately did not select it in the chosen 5. To remedy this we would like in this case to also invite DeepZot to the workshop with exactly the same prize. There has been some notable and active members of the Mapping Dark Matter community. As a ""runners-up/notable performance prize"" we will be emailing you personally to invite you to the conference and talk to us about your ideas, or in the case that you cannot make it we would like to develop your methods and ideas over email or in these forums with an aim to applying these to real astronomical data. Finally there will be a scientific article written on the results of this challenge. The more information we have about methods (which worked and why, which failed and why) the better. So please send as much information as you can on your methods to great10helpdesk@gmail.com or post on this forum.",2,bronze,36 ,Thu Aug 18 2011 20:23:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/792,/competitions/mdm,None
/stephennerhodes,Still bemused,"I have held off commenting until the competition is closed but after reading everyone's contributions I still have qualms about mathematical justification for the approach dictated. The assumption seems to be that the two parameters ε1 and ε2 are statistically independant. In the general case that is true but in this specific instance we have pixelation which I think completely invalidates this assumption If we consider a bounding box having an aspect ratio X, with an ellipse just touching each of the sides, then a bit of math shows that the ratio a/b is given by ""a\b = ((\cos(\theta)^2-X^2+X^2*\cos(\theta)^2)*(\cos(\theta)^2+X^2*\cos(\theta)^2-1))^(1/2)/(\cos(\theta)^2-X^2+X^2*\cos(\theta)^2)"" We are only interested in the region when -π/2 < θ < π/2 and the positive root. It can be clearly seen that depending upon the value of X this equation has singularities and the result can be complex. Now considering a square field of pixels, say 4X4, the value X must apparently be drawn from the set: X_i \in {1/4,1/2.3/4,1,4/3,2,4} A similar set exists for all such arrays. X is not single valued as the pixels are finite in size so for a given angle θ there is some spread in ab which becomes very non-linear for larger θ . These constraints mean that a/b and θ are linked for any image by a non-linear relationship controlled by a finite and small set of bounding boxes. To my mind to employ any form of regression analysis must be questioned as there are large ares of the result plane which do not exist and others are multi-populated. However, if the problem is restated to ask how we determine the lensing effect from such images I suggest a different approach might work. Each image can be categorized into an aspect ratio bin (such as 2-4 in the above example) generating a ""histogram like"" structure the theoretical content of which can be computed precisely by integration of the above function choosing limits to ensure real results. Now when the observation of the ratio a/b is changed by lensing this population function is also changed as an offset constant is added into the integrations. By comparing the observed population function with the theoretical one the lensing element can then be deduced. As this lensing constant is truly independant regression methods now become become appropriate. In a nutshell I propose the problem might be handled by reducing the images into aspect ration ""bins"" (maybe with a modicum of scaling to normalize things) and fitting the result against the theoretical model to extract the lensing coefficient. Note there is symmetry in that the count in each bin matches its conjugate e.g 1/4 v 4 in the above example, and this provides an orthogonal measure. Stephenne",0,None,3 ,Fri Aug 19 2011 11:16:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/794,/competitions/mdm,None
/ahassaine,Piles of data for data lovers,"Hi all, I'd like to post here all my predictors. I combined several methods, some methods are inspired from my PhD thesis (soundtrack restoration), others are taken from my current research (signature verification and writer identification), there are also some methods which are specifically developed for this problem. Each methods comes with hundreds of predictors. So in total, there are thousands of predictors, I only combined them using linear fit and I am sure that the predictive power of these predictors is far from what I obtained. I contacted Eu Jin Lok 5 days before the end of the competition and because of time issues we could not improve the results that much. For those of you who might be interested, you can download these predictors from the following links: [Link]:http://goo.gl/JbEBa [Link]:http://goo.gl/GkojD If you come up with interesting ways of combining them. I'll be happy to hear from you. Thanks, Ali",0,None,3 ,Fri Aug 19 2011 13:59:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/795,/competitions/mdm,3rd
/jeffmoser,Solution,"Due to all of the interest in this competition, we've decided to make the solution public. I've attached two files to this post: mdm_solution_with_mappings.xlsx - This is an Excel spreadsheet that has a trove of information about the competition. It shows how I randomly mapped Tom's files to the files that were available for download. The files that you've been working with are named in columns G (GalaxyMappedName) and J (StarMappedName). Note how column E indicates the ""paring"" that was present for the private dataset columns. There's a bit more going on, but notice the mean values for the paired galaxies. Column ""L"" indicates if the galaxy was in the public or private test set. Columns M and N indicate the actual solution values. Columns ""O"" and ""P"" are the example submission values. Note that you can paste in your own submission values and the calculated public and private RMSE will appear in U4 and U5 respectively. Finally, there are MD5 hashes of everything to make sure nothing got tampered with in the course of mapping files. mdm_solution.csv is a much more simplified version than that above and just represents the perfect submission. I hope that this helps and leads to even more interesting discussions! UPDATE: These solution files do not take into account the rescore. See the updated solution files later on in this thread. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1200/mdm_solution_with_mappings.xlsx [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1201/mdm_solution.csv",0,None,7 ,Fri Aug 19 2011 17:07:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/796,/competitions/mdm,None
/mlearn,Test set size,"I was wondering why the test set in this competition is so small? The leaderboard is being done on 3,000 examples (30% of 10,000). With the current top scores of around 17% the 95% confidence interval on an algorithm's underlying accuracy is about 2.7% in width (formula from [Link]:http://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval). This interval covers all the entries from first down to twenty-third on the leaderboard. If the algorithms doing the entries are uncorrelated then we could see a pretty radical overhaul of the leaderboard when the competition closes. However I would guess the entries are correlated so perhaps things aren't so bad. Have score changes in previous competitions been studied - what type of shift might we be expecting? Thanks!",0,None,4 ,Fri Aug 19 2011 23:47:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/797,/competitions/dunnhumbychallenge,8th
/mkwan7977,Request for a submission API,"I was wondering whether it would be possible to create a submission API so that we could submit from software? It's fairly common for my team to pre-generate a few solutions then take a break. But we still have to log in every day to submit them. If there was an API we could just set up a cron job that uploads the solutions and e-mails us the result. Failing that, could you provide the ability to upload multiple solutions and auto-submit one every 24 hours?",1,bronze,28 ,Sat Aug 20 2011 12:07:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/798,/competitions/hhp,17th
/jeffmoser,All submissions have been rescored which affected the final/private score,"After all of the forum discussion and Tom's private analysis of the results, it seems there was an error in the private test scores. Important note: this error only affected the private scores and did not affect the public leaderboard results during the competition. The specific error was that the solution e1 for galaxies/stars in the private leaderboard set was off by 0.02. Thus, the new solution e1 is the old solution e1-0.02. It seems there was a sign change somewhere along the line (a mean e1 of 0.01 in the catalogue should have -0.01). After learning about this error, I updated the solution and rescored all 819 submissions. The current leaderboard shows the results of the rescore. In addition, further ""after the deadline"" submissions from now on will use the updated solution file. Sorry about the confusion this has caused. Additional details will follow.",3,bronze,14 ,Sat Aug 20 2011 19:07:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/799,/competitions/mdm,None
/jhoward,Come see us at KDD!,"Hey gang, if any of you are going to KDD next week, be sure to come along to session K6 on Wednesday, where 4 of the HPN prize advisory group will be discussing ""Lessons learned from contests in data mining"". (The 4 members are Charles Elkan, Yehuda Koren, Claudia Perlich, and me; Tie-Yan Liu will also be on the panel, but is not part of the HPN advisory group). I will of course be thorougly out-classed by the rest of the group (Charles was the first-ever KDD winner, Claudia is the only 3-time back-to-back KDD winner, and Yehuda is a Netflix prize winner!) so I plan to mainly keep quiet and listen... Also, be sure to come and say hi if you're at the conference. My email address is in the same format as everyone else at Kaggle: firstname.lastname@kaggle.com - feel free to shoot me a message if you'd like to catch up.",0,None,1 Comment,Sun Aug 21 2011 02:19:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/800,/competitions/hhp,None
/wbhumanoid,Input string was not in a correct format.,"Hi, I'm trying to submit a csv file for the dunnhumby's challenge and I'm getting the error ""Input string was not in a correct format."" Anyone know why I might be getting this? Is it the file or something else?",0,None,1 Comment,Sun Aug 21 2011 14:08:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/801,None,None
/del=b7189cf475020b66,Sample data file,I don't understand why the days in hospital (that we need to predict) field in the Sample data has continuous values instead of whole number from 0 to 15? It is telling the probability?,0,None,2 ,Sun Aug 21 2011 14:10:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/803,/competitions/hhp,None
/nitin14651,Generalized specialty,"Hi, Can anyone please explain whether the ""Generalized specialty"" listed in Claims table is assocaited with ""Charlson Index"" or is it only of ""Providers"" specialty. The reference material doesnt indicate clearly. Thanks,",0,None,1 Comment,Sun Aug 21 2011 20:19:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/804,/competitions/hhp,1261st
/dansbecker,Project Management software for Data Analysis,"Are there any project management tools for data analysis (something that integrates a version control system, keeps track of relationships between data files and source code, etc.)? While I'm at it, what larger data analysis communities forums are there to ask this sort of question?",0,None,10 ,Mon Aug 22 2011 00:50:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/805,/competitions/hhp,2nd
/andywocky,Post-Milestone Mixer,"I've enjoyed this contest, and I was thinking I'd like to get to know other competitors. Would anyone else be interested in some sort of online networking chat session or virtual event after the milestone? The idea would just be to get to know who we are as a community, share stories, discover mutual interests, network professionally, etc. If this sounds like something you'd consider attending, please Thank this post, or respond in this thread. If there are enough responses we can talk about organizing the event.",0,None,4 ,Mon Aug 22 2011 23:13:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/806,/competitions/hhp,265th
/sfin2015,You should not predict worse than my first submission,"Hello all, My first submission is constant prediction (it is not mean or median) for all records. RMSLE for my method is 0.486600, whereas the best score currently is 0.456575 I find it a bit ""funny"" that there are over 100 team scoring below ""my non-public ranking 258"" (and I bet some of those are more complicated algorithms). This is because I find my method to be somewhat ""starting point""/worst possible one that one can do (that is after a bit thinking). My next move will be convert my algorithm from constant prediction to conditional prediction (that is to utilize given variables), however I think I will do discretized prediction. But not sure if I manage to do this by coming deadline. I have two questions in my mind: - Is anyone using prediction discretization for daysinhospital value 0 (as it is pretty common). I mean that one would for example first predict whether daysinhospital is zero or non-zero (using logistic regression or mlp etc). And if it is zero then place value 0 to it, and otherwise place continuous predicted value to it. - Is anyone using principal component analysis or independent component analysis or any projection methods? (I am thinking of Year1, Year2, Year3 ""time series"") Finally, happy predictions & good luck in the challenge! :)",0,None,6 ,Tue Aug 23 2011 18:47:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/807,/competitions/hhp,757th
/nogginhead,Is there a limit on the number of submissions?,"Otherwise, I believe you could game the evaluations to increase your score with no meaningful algorithm.",0,None,1 Comment,Wed Aug 24 2011 00:17:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/808,/competitions/dunnhumbychallenge,None
/teamrender,error regarding reverts ?,"Hi, I have two questions regarding the ""reverts"" in the dataset: 1. how do you define a revert? this is stated nowhere explicitly. As I read between the lines, it seems to me that you defined it as any revision that was made between two other, identical revisions (the first one being the one reverted TO, the second one the REVERTER). Is this interpretation correct? 2. If the above is your definition of a revert (and even otherwise), I have found an inconsistency when actually comparing the Diffs of the revisions at wikipedia.org : why is the article content of var revision_id in the dataset identical to the article content of reverted_revision_id (if reverted = 1 of course)? this makes no sense, as revision_id should have been reverted by some other edit TO reverted_revision_id, hence they can't be identical or there would be nothing to revert.. It rather seems that the edits you listed with revert = 1 are the reverting edits, not the reverted ones, and reverted_revision_id is where THEY revert to. This is something completely different than what you describe in the instructions.",1,bronze,2 ,Wed Aug 24 2011 15:34:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/809,/competitions/wikichallenge,38th
/dpmcna,Text fields of the dataset,"Hey everyone, This competition has text fields present in the dataset as part of the titles and comments files. This makes it quite different to other Kaggle competitions. Would anyone be willing to share their general approach to handling these? I'd be interested to know whether people are using or ignoring these. Thanks!",0,None,2 ,Thu Aug 25 2011 08:30:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/810,/competitions/wikichallenge,33rd
/kymhorsell1,submission fails with wrong number of lines,"Something seems to have changed with the submission process. It now keeps saying ""your submission [does not have] exactly 10,000 non-header lines"". My output format has not changed. Even the example csv file I uploaded from before gets the same problem.",0,None,2 ,Fri Aug 26 2011 04:34:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/811,/competitions/dunnhumbychallenge,28th
/pckben,Determine which claims are responsible for DIH?,"Dear all, We've just joined the competition recently and are having a question on finding the claims associated with one's days in hospital in the same year. We've searched the forum a bit and understood that records having PlaceSvc='Inpatient Hospital' or records having PlaceSvc='Urgent Care' and use the emergency room facility are those that should sum up into DIH, provided that the LOS are given. It seems right in most of the time, but not in some cases for example for member 10009391, who has 2 Emergency Urgent Care in year 2 but his/her y2.DIH=0. Another special case is id=45539346, who has a popping 32 'Inpatient Hospital' records in year 2 but y2.DIH=0. Are these inaccurate data, or our understanding stated is wrong? Thanks, Ben",0,None,1 Comment,Fri Aug 26 2011 08:43:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/812,/competitions/hhp,1079th
/byang1,Hidden Rules for Team Mergers ?,"In section 4 of the rules, it says ""In Sponsor's discretion, Teams may be permitted to merge."". I'd like to know what are the current rules or factors, if any, that would prevent a team merge. Thru contact with other teams in this contest, I was surprised to learn that there's a hidden, previously unpublicized rule which has prevented at least one team merger: the total number of submissions of the merged team cannot exceed the number of submission available since the start of the contest, in order to be ""fair"" to other, unmerged teams. If this is true, I think it is a bad rule and should be overturned. I don't see any unfairness here, because every team is free to try to merge with others. However, the limit based on submission count, and the previously unpublicized nature means this rule is unfair to those who have made many submissions. It essentially punishes them for their past efforts and hard work. For example, in the last 5 or 6 weeks, my goal was to make a submission everyday, which I was largely able to meet. If I had known my submissions would prevent me from joining forces with other teams later, I'd have done things very differently. This is a case where the contest organizers should stay out of the way and let us organize ourselves as we see fit. And I'd like to know if there're other rules on organizers mind waiting to strike.",1,bronze,5 ,Fri Aug 26 2011 20:00:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/815,/competitions/hhp,2nd
/columbus,Need explanation of RMSLE,"I am trying to understand evaluation methodology, run some numbers in Wolfram Alpha and get different results. For example, actual edits 0, predicted 1. (Site number 0.48 ) Wolfram Alpha gives 0.69. abs(log(1 + 1) - log(0 + 1)) Actual edits 0, predicted 0.5. (Site number 0.16) Wolfram Alpha 0.40. abs(log(0.5 + 1) - log(0 + 1)) Can you help to understand the methodology of evaluation?",0,None,7 ,Sat Aug 27 2011 00:07:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/816,/competitions/wikichallenge,27th
/sirguessalot,"@Kaggle: request to preserve formatting of ""technique description"" field","When making submissions, I like to use specific formatting in the ""Description of your technique"" field. Very frequently, it's a list of numbered items. Unfortunately, when it's presented on the Submissions list page, the formatting is stripped and it's all mushed together. I'd like to request that the formatting be preserved (i.e. carriage returns are not stripped) so that when we have more than a few submissions, it's easier to read the individual entries. Thanks for your consideration.",0,None,2 ,Sat Aug 27 2011 20:09:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/817,/competitions/hhp,37th
/kristin,15% for training set but 5% when submitted...,"I have developed an algorithm that gives 15% correct prediction using around 40000 random customers in the training set. But when submitted I only have 5% correct prediction. Does anyone else have the same problem? What do you think that might have gone wrong? Is the statistics of the customers in the test set completely different from the training set? Best, Kristin",0,None,3 ,Sun Aug 28 2011 08:58:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/818,/competitions/dunnhumbychallenge,52nd
/cswdyer,What are your tools of choice?,"A mention of Kaggle in New Scientist has led me here, I'm new to this and have an engineering rather than programming background, but it looks like an interesting hobby. I was hence wondering what sort of toolkit is needed for this (and other) challenges? I note elsewhere one of the competitors in the Ford challenge was analysing the data in XL to get an understanding of the data, but what are you using (MatLab / Mathmatica etc)? (XL struggles to import this volume of data!) SQL / MySQL seems a good option for storage, though I note that during the Netflix prize many were suggesting that databases weren't of much use due to the size of the dataset and hence they were programming it in such a way as to store all the data in memory. Then what are the options for the developing the prediction algorithms & methodology - are you using software like R & SPSS etc, or straight programming (Perl / C#)? I look forward to hearing what weapons you have in your armoury! Thanks, cswd P.S. Apologies if these are incredibly basic newbie questions, but I've got to start somewhere and understanding what would I sholud learn is the first step...",1,bronze,5 ,Sun Aug 28 2011 20:28:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/819,/competitions/wikichallenge,77th
/jeffmoser,Round 1 Milestone Submission Selection Info,"This is just a reminder that the first round milestone is soon approaching. Per [Link]:http://www.heritagehealthprize.com/c/hhp/Details/Timeline, submissions must be received on or before August 31, 2011 06:59:59 UTC to be considered for Round 1 Milestone prizes. In case of any confusion, the current UTC time is always listed at the bottom of the leaderboard, so you should be able to see how much time is left. You will be able to select up to one (1) submission to be considered for this milestone. The milestone prizes will be ranked by the private leaderboard score (i.e. the score on the remaining 70% of the data) so it is possible that the private score ranking will be different than the public score ranking. You can make your submission selection via the ""Submissions"" page at the top. Previously the site allowed you to select up to 5 submissions per the final prize guidelines, but this has been changed to a maximum of 1 submission to avoid confusion with the milestone prizes. If you had previously selected more than 1 submission (27 teams did so) then your selected submission with the top public score was selected and all others were deselected automatically. If you do not make a selection by the deadline, your submission with the best public leaderboard score that was submitted on or before the Round 1 milestone deadline will be choosen on your behalf. NOTE: If you are one of the 559 players that are on a team that has made a submission, then you should have already received a reminder email about this upcoming deadline. The email came out around Mon, 29 Aug 2011 20:55:00 UTC.",1,bronze,6 ,Mon Aug 29 2011 22:18:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/820,/competitions/hhp,None
/antgoldbloom,Milestone prize announcement,"Just to keep you all in the loop, the plan is to announce the milestone prize winners at O'Reilly's Strataconf ( [Link]:http://strataconf.com/public/content/home). Will let you know the exact date as soon as we're told.",0,None,23 ,Wed Aug 31 2011 07:57:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/821,/competitions/hhp,None
/liveflow,Real numbers_Submission Error,"Hi, recently I got a submission error, and says the predicted number has to be real numbers from 0 to 15. But I already check these numbers and I got a precision of 8 digits and the data is between 0 to 15. So please help me with this. The submission was on deadline time for milestone 1. Thanks.",0,None,5 ,Wed Aug 31 2011 19:24:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/822,/competitions/hhp,1142nd
/jason15,Data Years,"I am looking to utilize external economic data in my analysis, but am unable to find the years of the data as posted (i.e. 1999 vs Y1). What year is Y1? Regards",0,None,3 ,Wed Aug 31 2011 20:06:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/823,/competitions/hhp,None
/jxiesd,Is the grand prize threshold (0.4) reachable?,"I start thinking about this. The best result so far on the leaderboard is 0.456, you need another 10+% improvement to reach the bar. This is already a higher requirement than the NetFlix challenge. I bet it will need many team mergers in order to reach the bar. My best results on the training set even never reached 0.4. Need to have some breakthroughs...",0,None,6 ,Wed Aug 31 2011 20:13:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/824,/competitions/hhp,5th
/pwfrey42,Questions for Sponsor,Why are records with missing data included in the training set but not in the test set? Is there some reason why the contest does not include 2010 data?,0,None,3 ,Fri Sep 02 2011 17:49:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/826,/competitions/ClaimPredictionChallenge,4th
/jeffmoser,Reliving the leaderboards of the past,"I like the leaderboard a lot. It's sort of a like a competition's pulse. One of the greatest strengths of the leaderboard is that it shows recent trends, which is great for up-to-the-minute coverage of a competition. The optional ""delta"" parameter lets you set the compare window for the arrow movement indicators (which defaults to 1 week for established competition). For example, to see movement indicators for the past day, you can go to: [Link]:http://www.heritagehealthprize.com/c/hhp/Leaderboard?delta=1d Or you could set it to "" [Link]:http://www.heritagehealthprize.com/c/hhp/Leaderboard?delta=6h"" for the past 6 hours or "" [Link]:http://www.heritagehealthprize.com/c/hhp/Leaderboard?delta=2w"" for the past 2 weeks, or "" [Link]:http://www.heritagehealthprize.com/c/hhp/Leaderboard?delta=1m"" for the past month. However, in addition to the arrow indicators, I also find it interesting to look back and see what a competition was like in the past. For example, on the recently completed [Link]:http://www.kaggle.com/c/mdm/ competition, it was interesting at the start to see people explore the data the data with some relatively weak scores early on only to see dramatic improvements later on. Previously, all of this action was hidden as you only saw the final private leaderboard results as of the last second of the competition. This week I added support for viewing the public leaderboard for completed competitions. For example, [Link]:http://www.kaggle.com/c/mdm/Leaderboard/public Shows the public leaderboard as it was at the close of the competition. However, more interesting is that you can now add an ""asOf"" parameter and specify a date to see the leaderboard as it was on UTC midnight for that date. For example: [Link]:http://www.kaggle.com/c/mdm/Leaderboard/public?asOf=2011-5-24 Shows that the leaderboard was quite bare early on, but soon saw a dramatic improvement with the ""Fire On Wires"" team 3 days later: [Link]:http://www.kaggle.com/c/mdm/Leaderboard/public?asOf=2011-5-27 And then Martin came on the scene 2 days later at the top: [Link]:http://www.kaggle.com/c/mdm/Leaderboard/public?asOf=2011-5-29 where he stayed for over a month and a half only to be overtaken by Ali: [Link]:http://www.kaggle.com/c/mdm/Leaderboard/public?asOf=2011-7-16 which stood until the DeepZot team broke the 0.015 barrier a few weeks later: [Link]:http://www.kaggle.com/c/mdm/Leaderboard/public?asOf=2011-8-11 This works for both the public leaderboard and private leaderboard (for competitions that have finished anyways). For example, we can see that on the day that the DeepZot team broke the 0.015 barrier publically, they didn't beat it on the private leaderboard: [Link]:http://www.kaggle.com/c/mdm/Leaderboard?asOf=2011-8-11 If a significant event happened during a day, you can get the leaderboard at a specific moment in time by adding the time to parameter. For example, here is the Heritage Health Prize a few hours after we started accepting submission when there were only 10 teams on the leaderboard: [Link]:http://www.heritagehealthprize.com/c/hhp/Leaderboard?asOf=2011-05-05%2014:00 This is especially important if you wanted to capture when you make it to the top of the leaderboard for only a brief time window during a day :) It's my hope that this feature might lead to some great memories of what it was like during the rush of these competitions. Please feel free to share any special moments you find using this feature.",9,None,8 ,Fri Sep 02 2011 18:33:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/827,None,None
/jeffmoser,New and Improved Submission Processor,"You spend a lot of time creating your submissions and we want to make sure they get the care and attention they need once they arrive at our servers. I’m happy to announce that as of today your submissions are now being processed with a submission processor that I re-wrote from scratch to specifically address a lot of concerns that have come up over the past few months. It’s important to realize that all of these changes affected the parsing and validation of your submission and not the mathematics of the evaluation algorithms themselves. Thus, unless the old submission processor made a mistake in how it interpreted your submission, there is no need to resubmit your old submissions. Our old submission processing code was a bit harsh. Since I wrote it, I’ll be first in line to point out some of its flaws: Bad error messages – when there was an error with your submission, you often got a very obscure error message that didn’t help you fix your submission or at the very least identify exactly where the problem was located. Additionally, if there were multiple issues with your submission, you only found out about them one at a time with each successive submission. Alternate row orders were not allowed – Our example competition submissions often included row identifiers (i.e. “MemberID”). Your submissions had to match the order of the example submission exactly, even if the example’s row identifier wasn’t in a particular order (i.e. sorted ascending or descending). This led to some justified frustration, especially among newcomers who would put their rows in a more convenient order (such as sorted ascending) only to find out that their score was particularly bad. You didn’t receive any error message telling you your rows were in the “wrong” order; your only clue that something was wrong was a bad score. Often you only found out about this through forum posts. Alternate column orders were not allowed – You work with a wide variety of tools. When you went to write your submission file, the columns were sometimes in a different order than what the submission processor expected. Again, you often only found out that there was a problem by receiving a bad score. You didn’t receive any indication that your columns were in the “wrong” order. Lossy Storage – As indicated above, any data that was outside of the prediction column(s) was ignored. When we saved your submission on our server, we deleted all other columns and headers. If you ever tried to download one of your previous submissions from our site, you’d notice that all of your other columns and all of your headers were gone. This made it particularly difficult to detect if you put your rows in the “wrong” order. Poor handling of different data types – Internally, all of the data had to be stored as floating point number. Competitions that included a date, such as the Dunnhumby Shopping Challenge, had to have that converted to a number before it could be used. If you ever downloaded one of your previous submissions, you’d see huge numbers where your dates used to be. In addition, competitions could only have a single data validator for the entire competition; this made data validation a challenge in competitions that had two different data types such as a date and a dollar spend amount. Silent Suffering – Perhaps worst of all, you often suffered in silence if your submission wasn’t in the exact format that we expected. Unless you contacted us, we often didn’t know that you were experiencing any trouble with the process. I felt awful when I learned that people tried to submit many times to submit to a competition only to continually run into errors. I felt even worse for the people that ran into problems and gave up without letting us know. As mentioned above, we had no real way of knowing how many people were experiencing problems with their submissions. Due to the above problems (and several others), I knew I had to fix it. After some analysis, I realized that I would have rewrite the vast majority of it to really fix the underlying issues. In addition, while rewriting a lot of the code I added some features that I have wanted to add for some time. Here are some highlights of the new submission processor: Vastly improved error messages – If there is a problem with your submission, you will now get a detailed error message that describes the exact problem (often including a file line number and column). In addition, if there are multiple errors with your submission, you’ll get several at once so that you don’t have to re-submit only to find out you have more. I want error messages to be as helpful as possible. If a particular error message is not helpful, I will update it based on feedback. Documented assumptions and warnings – If the processor makes a non-trivial assumption about your submission, it will make a note about it. These notes will be visible in the competition’s “Submissions” page for that particular submission. I will review feedback to see if I need to add more warnings and assumption messages. All submissions are logged – Previously, if there was an error with your submission, it was often deleted after an error was reported. Now, all submissions are kept, even if they generated an error. This allows Kaggle administrators like me to proactively investigate issues, even if you didn’t report them. This also provides you a way to backup your submissions on our server, even if they had issues. Lossless Storage – Your submissions are now stored exactly as you gave them to us: bit for bit. The only thing we do with it is compress it into a “.zip” file to make it slightly more compact. This should be helpful for you when you want to review one of your previous submissions. In addition, this gives Kaggle administrators much more ability to diagnose any issues with your submissions. Previously, you would have to email your actual submission to us for further investigation; this is no longer needed. Enhanced sniffing – The new submission parser goes out of its way to try to understand the structure of your submission. It will try to figure out what file format it’s in, whether or not you included a row header, what order you put the columns in, whether you compressed your submission, and several other things. Compressed Submissions – You can optionally compress your entry with ZIP or GZip compression. The processor detects the compression based off the “.zip” and “.gz” file extensions respectively. In addition, your submission only needs to have at a minimum the required prediction columns. Thus, if a competition example submission has a row ID column and then a prediction column, you will only have to submit the values in the prediction column (you don’t even need to include a header). This was partially implemented before (LINK), but it’s been improved in the new processor. Flexible row orders – If the parser can determine which column in your submission is the row id (i.e. you include a matching column header that indicates this), then the processor will sort your submission rows to match that of the solution. This means you can put your rows in any order you want. Flexible column orders – The parser now tries to understand each of your columns and map them to the corresponding column in the solution. Due to compressed submission support, not all of the columns in the example submission might be present in your submission; only the prediction columns will be required. In the event that you put your prediction columns in a different order than the submission, be sure that your column header indicates this and the processor will correctly read from the appropriate column when calculating your score. Multiple validators – Each column can now optionally have its own data validator. This is particularly helpful in competitions like the Dunnhumby Shopping Challenge that has a visit_date and visit_ spend amount. Now each column can have separate meaningful validators to let you know if your values are out of the expected ranges. Rebuilt legacy submissions – Because the old submission storage used to delete data from non-essential columns, downloading your previous submissions was often a confusing experience. Now that submissions are stored losslessly, I went back and rebuilt every one of your submissions to make it look exactly how the submission processor understood it. You’ll now see the column headers and row identifiers of how it was processed. This should be helpful in investigating why an older submission might have scored poorly. These changes took quite a bit of time to implement. Rebuilding legacy submissions alone took several hours of batch processing that scanned many gigabytes worth of submissions. In addition, a lot of this code is brand new and might have some bugs. Please contact me by emailing “support at kaggle.com” in case one of your legacy Kaggle 2.0 (post March 30th) submissions was missed or you experience trouble and I’ll work to get it fixed quickly. I will also be reviewing submissions for errors now that we have that ability. It’s my hope that the new submission processor is far more [Link]:http://en.wikipedia.org/wiki/Robustness_principle%20 and gives each one of your submissions the care and love it deserves.",2,bronze,2 ,Sun Sep 04 2011 00:20:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/829,None,None
/seeker66,regarding execution time,"Just checking if any of you are using R for this competition, what is the approx. time does it take for you for model building ? I bumped up the memory but its still taking quite long...",0,None,1 Comment,Sun Sep 04 2011 07:47:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/832,/competitions/dunnhumbychallenge,229th
/seeker66,Leaderboard evaluation metric,"Hi, I see the leaderboard evaluation metric says: % correct entries. Does it correspond to % of correctly predicted visit dates ? I am bit confused. I was under the impression that since we are required to predict both the next visit date and also the visit spend amount, the leaderboard evaluation metric would incorporate both the %correctly predicted visit date and also the accuracy of spend amount ? Could someone comment on this ? Thanks !",0,None,2 ,Sun Sep 04 2011 18:34:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/833,/competitions/dunnhumbychallenge,229th
/zbicyclist,What is the date 2011-06-19?,"If the data end on March 31, why are there records in the training set which seem to be newer? Simple example are records 112 through 126 in the data set, which show for repondent 2 trips that seem to occur in April, May and June. Record 126 is 2,2011-06-19,41.00 Obviously I'm missing something obvious here, but what is it?",0,None,3 ,Mon Sep 05 2011 04:56:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/834,/competitions/dunnhumbychallenge,None
/texane,question about the one column compressed submission format,"Hi, Could you explicit what is the column used in the single column submission format. Is the single column the AMOUNT or the ROW_ID? I re read the rules but what you mean by ""prediction"" is ambiguous, could be either ROW_ID or AMOUNT, depending on how your script interpret the submission. In the example you give (compressed_entry.csv.zip), it seems to be the ROW_ID... is it right? Thanks very much for clarifying, f.",0,None,5 ,Mon Sep 05 2011 18:45:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/835,/competitions/ClaimPredictionChallenge,89th
/stephencollins,Can you post a condensed train file?,"Kaggle, I'd like to work on the Insurance challenge. The large file size is hard for me to handle. It has been said on the forum, that the characteristics are shared for each submodel. Could you wrap up the train file by submodel as said above and make that file available in the data download area?",0,None,3 ,Tue Sep 06 2011 22:12:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/836,/competitions/ClaimPredictionChallenge,44th
/texane,pending submission,"hello, I submitted this morning, maybe 2 hours ago, and my submission is still pending. Is it possible to have any information about that? I can not resubmit twice, because of the 2 submissions per day limitation. Thank you to cancelling it if there was any problem, Best regards, f.",0,None,5 ,Wed Sep 07 2011 08:49:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/837,/competitions/ClaimPredictionChallenge,89th
/afaron1,Kaggle Teams,I'm new to kaggle but It seems that to enter a competition you need to be part of a team ie you can't submit on your own. How does this work? - I couldn't see anything explained under 'How it works' - but I'm probably missing something. I'd be grateful for any guidance. Ron,1,None,17 ,Thu Sep 08 2011 20:31:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/839,None,None
/junji14430,DaysInHospital is not the sum of LengthOfStay?,"Hi, everyone, I'm a newbie here and I want to ask a quick question, does DaysInHospital equal sum of LengthOfStay? Thanks a lot in advance. The problem is as follows: Left part of the equations are DaysInHospital_Y2 and right part of the equations are corresponding sum of LengthOfStay in Y2's claims. I just print first 100 records, however, they are somehow not equal. 0=+++0=1=1=++++++++++++++++1 day+++0=+++++++++++++0=++++++++0=++++++++0=0=++++++++0=++++++++++++++++++++++0=+++0=0=0=++++++++++0=++++++++++++++++++0=+++++++++++++++++++++++++++0=++++++++++++++1 day++++++1 day+1 day++0=+++++++++0=++++++++++0=0=1=+++++1 day+++++++++++0=++++++++++++0=0=0=+++1=++++++++1 day+++++0=0=0=+++++++++0=1=++++++++++++++1 day++++++++++++++4=0=++++++++++++++0=+++0=0=+++++0=0=++++0=++++0=++++++++++0=++0=+++++++0=++1 day+++1 day+++++1 day+++++1 day+++1 day+++++++++0=++++++++++++++0=++++++++++++++++++++++6=++++++++++++++++++6 days+++++++++++++++0=1=++1 day+++++++++++++1=+++++++++1 day++++++1 day++++++0=0=0=0=+++++++++++++++++0=++++0=++++++++++++++++0=0=+++++++++0=+++++++++++5=+++++++++++++++++++++++++++++++++++++++++++0=0=+++++++++++++++++0=+0=+++++++++++0=0=0=++0=0=2=++++1 day+++++++++++++++++1 day0=++++++++++2 days+0=0=++++++++++++0=0=++++++++1=+1 day++1 day+++0=0=+0=++++++++++++++++++++++++++++++++++++++++4=0=+++++++++++++++++++++++15=+++++++++++++++++++++++++++++++++++++++++++0=0=0=+0=+++++++++++++++++++++++++++++++++++++++++++0=+++++++++++++++++++++0=+++++0=++0=+++++++++++++++++++++++++0=++++++0=++++++++0=0=0=++++0=+2=++++1 day+++++++++1 day++++1 day+++1 day+++1 day+0=0=+++++++0=+++++++++++++++++++++",0,None,3 ,Fri Sep 09 2011 20:36:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/840,/competitions/hhp,349th
/chadcambell1,submission clarification,"My solution includes some additional data not included in the original training set. Do I need to submit all of this raw data as part of my final solution, for example in .csv/.sql format? Or is it sufficient to submit the scripts used to obtain the data and/or describe the data set in words? Also my method for selecting parameters for my model uses some library functions from the matlab optimization toolbox. Also when bringing data into the matlab workspace for model selection I use the database toolbox to pull from msyql. The model itself though doesn't require any matlab toolboxes, i.e. once the final model is selected it can run predictions independent of matlab toolboxes. Is this going to be ok? Or do I need to figure out a way to port the model selection code to a non matlab toolbox implementation? Appreciate any clarification.",0,None,3 ,Tue Sep 13 2011 22:45:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/845,/competitions/wikichallenge,None
/sja5779,Different feature distributions prblem for each year,"Is anybody there seeing different feature distribution problem for each year? One of my feature set, which is explained below in detail, gave me errors 0.476 for Yr1, 0.463 for Yr2, and 0.501 for Yr3 (real submission). It is quite strange to me how the results can flunctuate this much for different years. Is there anyone having the same problem? The feature set counts frequency of each DSFC of a patient. For example, if a patient has five claims at Y1 with DSFC, 1, 1, 4, 5, 12, respectively, the feature for that patient is represented as 2 0 0 1 1 0 0 0 0 0 0 1.",0,None,3 ,Thu Sep 15 2011 00:30:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/846,/competitions/hhp,138th
/signipinnis,Thanks for lifting the boycott,"... apparently I missed the email announcing it, so I never knew what it was all about, but I for one am glad it's over. This isn't the most talkative of forums, but I missed the old give-n-take anyway.",0,None,3 ,Thu Sep 15 2011 04:30:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/847,/competitions/hhp,864th
/woshialex,How to use R to prepare data for individuals?,"Hi everybody, I used to use C++ to do everything and just started to learn to use R. I found it is really inconvenient to deal with data freely.. I want to load the data, then generate an array of customers, each customer is a list. Then I could feed eah customer data in to some functions to do predictions.. But how could I get an array of custorms like customer[N]?",0,None,5 ,Fri Sep 16 2011 06:18:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/849,/competitions/dunnhumbychallenge,55th
/mlearn,Direct messaging,Could a direct messaging feature be added to Kaggle (along the lines of many bulletin board systems) so we can directly contact other competition participants (i.e. privately as opposed to via the public forums)? Or is this feature hiding away somewhere? Thanks.,0,None,3 ,Sat Sep 17 2011 16:33:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/850,None,None
/diederikvanliere,Competition is almost over!,"Dear Contestants, The WikiChallenge is almost over, there are only 2 days left! We at the Wikimedia Foundation are very curious to see your submissions, so please submit your full solution including source code, description of the algorithm and a pseudo-code version of your algorithm. We will verify and replicate the results in the coming weeks and we aim to have a final winner announced around October 15th. We will send out a short survey as well to get to know you and the general direction that you took better, we will also ask for your feedback on how to improve this competition if we decide to run another next year. I never expected so many participants and entries and so in that regard I already consider this competition a huge success. Now I am just hoping for real cool solutions to our data! Thank you so much for participating, Diederik van Liere & Howie Fung (Wikimedia Foundation)",0,None,4 ,Sun Sep 18 2011 11:27:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/851,/competitions/wikichallenge,None
/timgluz,"I got submission error: ""matching destination row for.X""","What's wrong with my submission, if i get response: "" Error: Couldn't find matching destination row for '2' on sortable column 'Row_ID' (Line 2)"" . My submission looks like: (no headers, first row is integer, second one is real number, file is built on linux). 1,158.0546802,13.7203993,25.008185 ... 4314863,6.3881894314864,52.0759004314865,0.050000",0,None,7 ,Sun Sep 18 2011 21:09:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/852,/competitions/ClaimPredictionChallenge,92nd
/wbhumanoid,Timeline and guidelines for submitting code,"Can someone point me to information about when and if we need to submit our code and any guidelines about doing that? My code is incredibly messy, so it's going to take me a little while to rename variables, put in comments etc. to make it understandable for anyone else. So I want to know if I need to start now. Also, do you only need to submit code if you place in the top 3 positions in the final evaluation?",0,None,1 Comment,Mon Sep 19 2011 11:57:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/853,/competitions/dunnhumbychallenge,17th
/madavidj,When does the 2 submissions per day renew?,"As you know, you are allowed 2 submissions per 24 hours. Kaggle's reset time is everyday at 7:00pm (our time).Cheers",1,None,1 Comment,Tue Mar 29 2011 04:49:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/858,/competitions/stat331w11,None
/muzhu1,Troll Accounts,There are 124 students enrolled in the class and 200 teams less this account and growing.,0,None,6 ,Thu Apr 07 2011 03:40:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/861,/competitions/stat331w11,84th
/madavidj,"A little note, please read","Dear STAT331,Clearly people have become obsessed with making their way up the public leaderboard. The point of this public leaderboard was to remedy last semester's ""one-shot-only"" limitation. If you think about it, this public leaderboard is only displaying the score on 20% of the test set. If you tune your model to that set only, you are overfitting towards that set; you're missing a major concept of the class. I guarantee you that ranks/scores will shift wildly if you don't do your own cross-validations. Making fake accounts to make more predictions probably won't help them much anyways.Think of it this way: You are trying to aim/shoot a target. In one case, after each shot, a drunk man tells you how close you were to the target. In the other case, you go up to the target and see for yourself. Sure, it's more effort for you to go all the way to the target, but can you truly rely on the drunk man? The public leaderboard is the drunk man.You can make as many submissions as you want (create new accounts). But which of the predictions will you submit on UWACE? Can you really trust the drunk man? To improve, you need reliable feedback.I was hoping that a leaderboard would push people to search further than a simple stepwise AIC/BIC. Last semester, a BIC would put you above average. Indeed, these publicly displayed scores did push people to give a better effort, albeit not without some extra drama as we can see.To conclude, personally, I'm not really worried about the extra submissions. I just feel bad for Kaggle having to put up with this kind of thing. And I'm sorry for the ones who had to resort to these kind of ""solutions"".I've learned quite a few things from watching this contest unfold. I hope you've learned a few things from the contest as well.Regards,David",1,None,11 ,Thu Apr 07 2011 07:51:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/862,/competitions/stat331w11,None
/antgoldbloom,My simple R script,"library(""randomForest"")setwd(""C:\\Users\\antgoldbloom\\Dropbox\\Kaggle\\Competitions\\Credit Scoring"")training <- read.csv(""cs-training.csv"")RF <- randomForest(training[,-c(1,2,7,12)],training$SeriousDlqin2yrs ,sampsize=c(10000),do.trace=TRUE,importance=TRUE,ntree=500,,forest=TRUE)test <- read.csv(""cs-test.csv"")pred <- data.frame(predict(RF,test[,-c(1,2,7,12)]))names(pred) <- ""SeriousDlqin2yrs""write.csv(pred,file=""sampleEntry.csv"")",17,silver,15 ,Mon Sep 19 2011 20:54:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/863,/competitions/GiveMeSomeCredit,357th
/domcastro,Evaluation function,"Hi Sorry if I've missed the information, but how are the predictions evaluated please? EDIT: OK - seen AUC on leaderboard",1,bronze,20 ,Tue Sep 20 2011 00:51:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/865,/competitions/GiveMeSomeCredit,58th
/dellzhang,Test data,"Could Wikimedia and Kaggle please release the full test data, i,.e., the actual number of visits for each user, after the contest, so that we can keep working on this problem? It would enable us to perform more analysis, try more algorithms, and do more experiments. Thank you!",0,None,5 ,Wed Sep 21 2011 02:07:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/866,/competitions/wikichallenge,3rd
/sirguessalot,NumberOfTime30-59DaysPastDueNotWorse: 96 and 98?,"I see the following distribution of values for this field (similar for the other ""PastDue"" fields): value count ----------- ----------- 0 126018 1 16033 2 4598 3 1754 4 747 5 342 98 264 6 140 7 54 8 25 9 12 96 5 10 4 12 2 11 1 13 1 Are 96 and 98 actual values or some type of special code?",0,None,13 ,Wed Sep 21 2011 04:21:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/867,/competitions/GiveMeSomeCredit,28th
/martschink,Counting and NumberOfTimes90DaysLate,"Let's say Sally Shopmonger swings by a local outlet mall and purchases an entire new wardrobe of cocktail dresses and designer costumery for her shibaboodle puppy. She looks stunning. Her puppy is the belle of the doggie park. Sally decides to hide the evidence of her spending by throwing her credit card into the ocean. She does the same with her unopened credit card bills for months on end until she is 90 days late, the notice for which she flings into the ocean and shouts, ""you mean 90 days fashionably late!"" Another 30 days pass. And another. And another. And another. This continues for an entire year. Would the NumberOfTimes90DaysLate for Sally Shopmonger be only 1? Or would each additional 30 days after the 90-day threshold count as another time being 90 days or more late?",0,None,3 ,Wed Sep 21 2011 07:58:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/868,/competitions/GiveMeSomeCredit,None
/zimdot,Prize fund too low?,"Not to be disrespectful, but isn't the prize fund for this competition a little low? A good algorithm could save the company in question thousands or millions of $. But the prize fund is only a *very* small fraction of that. If I produced a good predictive algorithm I'd rather liscence my code out to whichever companies want it, rather than recieve $5000 and sign my code away for someone else to make money from.",2,bronze,27 ,Wed Sep 21 2011 15:30:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/870,/competitions/GiveMeSomeCredit,None
/zimdot,Coding language?,"Hi, What coding languages are acceptable for this challenge? Am I only allowed to submit results produced using open-source packages e.g. R? Or If I produced something in, say, Matlab, would this be acceptable? Thanks.",0,None,3 ,Wed Sep 21 2011 15:34:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/871,/competitions/dunnhumbychallenge,None
/wcukierski,"Which is better, your date or spend error?","I realize this close to the end of the competition nobody wants to share details about what they are doing. But, I am curious if people are willing to share which of their errors is better. I am doing better on the dates than the spends. How about you?",0,None,21 ,Wed Sep 21 2011 17:13:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/872,/competitions/dunnhumbychallenge,4th
/sophie8984,Rules to take part in this competition,"Hi, It's the first time i'm visiting this website. Could you please tell me how many members a team must be ? Is it allowed to use any of the statistical softwares ? Is there somewhere an article which explains the rules and how the efficinecy of the algorithm is calculated ? Thank you in advance for you answers. Kind regards. Sophie",0,None,6 ,Wed Sep 21 2011 18:08:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/873,/competitions/GiveMeSomeCredit,None
/twanvl,Errors in data,"In cs-training.csv I found some lines that are wrong. For example: 85490,0,50708,55,0,0.221757322,38000,7,0,2,0,0 Notice that RevolvingUtilizationOfUnsecuredLines = 50708. But this should be a percentage (or rather, a fraction), so it should be at most 1. I assume that the actual value is 0.50708. There are also many cases where DebtRatio > 1. In fact, this seems to correspond to rows where MonthlyIncome=NA. Perhaps these columns are swapped in that case, and it is DebtRatio that is NA. MonthlyIncome",2,bronze,5 ,Thu Sep 22 2011 18:34:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/874,/competitions/GiveMeSomeCredit,439th
/sjgardner3,Data Cleaning Questions,"NumberOfTimes90DaysLate, NumberofTime60-89DaysPastDueNotWorse, NumberofTime30-59DaysPasDueNotWorse -- there are 5 rows that each of these have value of 95,and 264 rows that each have a value of 98. For the rest of the data table, these variables have values that range from 0 to 20 or so. are the unusual large values missing data coding, real, or errors? Also, all of these rows have for RevolvingUtilizationOfUnssecuredLines the value 0.9999999 RevolvingUtilizationOfUnssecuredLines has a lot of rows that seem unusual, also. This defined in the data dictionary as ""Total balance on credit cards and personal lines of credit except real estate and no installment debt like car loans divided by the sum of credit limits"", which to me means (total non-secured debt)/(total non-secured credit limit), so it should alway be between 0 and 1, but ~2.5% of the training data has values that are >1, and the maximum value is over 50000. Any information on this unusual data? The income distribution seems off. Is this in USD or some other currency? The 99.5%-tile of income is 35000. NumberOfTimes90DaysLate -- shouldn't this be perfectly predictive of the response variable SeriousDlqin2yrs, which is defined as "" Person experienced 90 days past due delinquency or worse "". It doesn't appear that it is.",9,bronze,12 ,Thu Sep 22 2011 18:35:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/875,/competitions/GiveMeSomeCredit,None
/noch7485,Downloading the data,Internet Explorer won't let me download the data. Any ideas?,0,None,1 Comment,Thu Sep 22 2011 22:26:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/876,/competitions/GiveMeSomeCredit,None
/dlehman,How many records are there?,"The description says that there is data on 250,000 people but when I download it I only have 150,000 records. Did I miss something somewhere?",0,None,1 Comment,Fri Sep 23 2011 06:58:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/877,/competitions/GiveMeSomeCredit,823rd
/kazooie,Δ1w,"Hi, Just made my first submission today - so I'm a new at it. Can someone help me. What does the Δ1w column mean on the leaderboard?",0,None,1 Comment,Sat Sep 24 2011 12:19:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/878,/competitions/dunnhumbychallenge,227th
/matthew3,Jobs / Resumes from competing in HHP/ Kaggle,"HHP, Has any one else had success including competing in the HHP in their resume? I recently updated my resume and included it and it seems to have improved the receptiveness of recruiters to talk to me. I was wondering if any one else had had the same exerpiances. It certainly provided a good talking point about using a massive data set to draw business insights! Is there a job board that Kaggle maintains for data scientists? Anyways, I was succesful in getting a job in a social network gaming company. If any one is interested in learning more about what a data analyst does at a socail games company, let me know, and I can write more about it in this forum.",0,None,3 ,Sat Sep 24 2011 20:44:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/879,/competitions/hhp,274th
/quansun,Would someone please suggest some introduction papers for the credit scoring problem in general?,"Hi Guys, would be great if you could introduce some classic papers in this field. eg which algorithm do CS people usually use? how to evaluate the model? Thanks",0,None,4 ,Sun Sep 25 2011 02:41:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/880,/competitions/GiveMeSomeCredit,18th
/argv,Welcome to the Semi-Supervised Feature Learning Competition!,"We've just kicked off this short competition around semi-supervised feature learning, and hope that it will provide an interesting task and a good range of comparisons. We're particularly hopeful that there will be a wide diversity of methods applied. Please feel free to share thoughts and ideas on this forum, and also to post questions if you need help with any of the data. Good luck, and thanks for taking part!",0,None,8 ,Sun Sep 25 2011 22:14:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/881,/competitions/SemiSupervisedFeatureLearning,None
/kenanalytics,Data Details,Is this real data from a financial institution? It just seems that some of the most important data elements haven't been included?,0,None,2 ,Mon Sep 26 2011 08:15:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/882,/competitions/GiveMeSomeCredit,None
/larryholder,Opportunity to submit paper to ICDM conference,"Wikipedia Data Mining Challenge Participants: Thank you for your participation in the Wikipedia Data Mining Challenge. We would like to invite you to submit a paper describing your solution to the IEEE International Conference on Data Mining. Selected papers will be included in the conference proceedings. Instructions for submitting your paper can be found on the ICDM Contest website at [Link]:http://www.eecs.wsu.edu/%7Eholder/icdm2011contest/. The deadline for paper submission is October 3, 2011. Sincerely, Contest Co-Chairs",1,bronze,1 Comment,Tue Sep 27 2011 01:07:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/883,/competitions/wikichallenge,None
/pwfrey42,Question for Sponsor,"Is their some reason why the outcome for this competition is a simple binary variable? Would it not make more commercial sense to have a numerical outcome such as the dollars lost when an account goes bad? An even more relevant outcome would be the profitability of each account with numerical values that were both positive and negative. The use of a 1, 0 outcome seems to be a hold over from the old days when linear prediction models had a problem with outcomes in which the distribution of the variable was not Gaussian.",0,None,6 ,Tue Sep 27 2011 16:44:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/884,/competitions/GiveMeSomeCredit,None
/vishal17,Book/Website recommendation,"Fact: I will not win this competition. Goal: I love data and my current job involves analyzing it but nothing close to this. I would like to learn Data Mining/Prediction & move towards it eventually. I have already made a start - went back to brush up on my Statistics, have an ‘R Book’ - getting there slowly, pretty much read all the posts here. But is there anything else that you would recommend in terms of Books/Wikis/Website/classes, which would help.",0,None,2 ,Tue Sep 27 2011 17:35:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/885,/competitions/hhp,250th
/dirknbr,AUC 0.98,"Assuming that AUC will be similar between leaderboard data and 'offline' data, how much better is the winner supposed to get given we have 0.98 as sample entry on the leaderboard? Dirk",0,None,3 ,Tue Sep 27 2011 18:19:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/886,/competitions/SemiSupervisedFeatureLearning,None
/dirknbr,Effort,"Sorry to be critical, but this task requires quite a lot of effort. You need to manipulate the massive data file, find the best reduction, execute perl, then train SVM using another language you might never have used and then document everything, in less than a month. It would be really nice if the whole process could be run in one system.",0,None,5 ,Tue Sep 27 2011 18:54:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/887,/competitions/SemiSupervisedFeatureLearning,None
/chrisraimondi,Thanks for changing the link color!,"It was irking me when it was black, but I didn't want to complain - as I am sure you had much more pressing matters - just wanted to let you know it was noticed and appreciated! I just noticed, so I don't know how long it had been - it may have been a while...",0,None,3 ,Tue Sep 27 2011 20:06:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/888,None,None
/del=92525096498f3bbd,Possible Algorithms ,Could a possible algorithm be: Principal Component Algorithm(PCA). Though that is supervised. And probably doesn't work too well to reduce from a 1000000 plus features to less than 100 while storing the same information...,0,None,6 ,Tue Sep 27 2011 20:53:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/889,/competitions/SemiSupervisedFeatureLearning,None
/robrenaud,How does this differ from semi supervised learning?,"Let's say I am a jerk who just wants to win the contest, but has no interest specifically in treating this problem as a feature learning problem. What prevents me from learning the best classifier I can and just sending 1 bit worth of features (my classification)?",0,None,7 ,Wed Sep 28 2011 02:46:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/890,/competitions/SemiSupervisedFeatureLearning,None
/austro,About acknowledgement of contestants,"I find the competition interesting and I was considering taking part in it. However, I would like to have clarification regarding this paragraph: Contestants will be acknowledged by name in this paper for noteworthy performance, including results that do especially well or which are especially interesting. The contestants, having to develop and test an approach for this problem and writing it up the for inclusion in the paper, would be included as co-authors or would be just mentioned in the acknowledgement section? Under the second option, I would understand this as having sense if the approach used by them was not a sophisticated one (a standard method without any innovative ideas) , otherwise it would make more sense it would seem for the contestants to publish a paper on their own.",0,None,4 ,Wed Sep 28 2011 04:14:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/891,/competitions/SemiSupervisedFeatureLearning,None
/mattfrancis,Prediction the probablity... of what?,"I'm confused by the lack of information for this challenge. It's clear we need to predict the probablity of something occuring, based on the supplied information, but what exactly are we predicting? Prob of a serious delinquency in the next year? Probability of bankruptcy in the next 10 years? The list could go on. Or am I missing the point and only the relative ranking of probabilites, which represents some un-normalised propencity to not pay debts, matters? Generally speaking, the lack of information and nature of the dataset seems to indicate the sponsor is assuming general knowledge of how credit scoring is performed. That is fine, but I would have thought they'd be interested in getting some experts from other areas to see if they can take a fresh look at this type of problem, instead of people who deal with this everyday and are more likely to fall back into existing solutions instead of pushing the boundaries.",0,None,14 ,Wed Sep 28 2011 06:20:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/892,/competitions/GiveMeSomeCredit,294th
/del=92525096498f3bbd,Stanford Lectures on UnSupervised Feature Learning and Deep Learning,For those of you are as confused as me as to what this topic is about.... Heres a lecture from stanford which might be useful... [Link]:http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ufldl,0,None,5 ,Wed Sep 28 2011 07:21:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/893,/competitions/SemiSupervisedFeatureLearning,None
/tomseward,Reason for limiting only 2 daily submissions?,Is there a reason for only allowing 2 submission a day? Is this only for this competition or all Kaggle competitions?,0,None,6 ,Wed Sep 28 2011 16:15:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/894,/competitions/GiveMeSomeCredit,367th
/dirknbr,Can't open tmp.out: No such file or directory at ./parseTestResults.pl line 3.,I get this error running the runLeaderboardEval script Can't open tmp.out: No such file or directory at ./parseTestResults.pl line 3.,0,None,1 Comment,Wed Sep 28 2011 16:34:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/895,/competitions/SemiSupervisedFeatureLearning,None
/samuevan,result of the prediction,"I have some doubts about the file sampleEntrys, what we are supposed to predict? Just the answer yes/no, or the probability of a client pay the debts. if we look to the training file, we can see the class attribute SeriousDlqin2yrs with just 0's and 1's, so why in the file sampleEntries we have those numbers in the second column?",0,None,3 ,Wed Sep 28 2011 17:43:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/896,/competitions/GiveMeSomeCredit,None
/byang1,Is this one too easy ?,"So the benchmark score is .980, and someone already got to .993 on the leaderboard now. I'm thinking any serious effort will get you above .995 (or even .999), and any difference after that won't be statistically significant any more. Anyway, what's the benchmark algorithm ?",0,None,2 ,Thu Sep 29 2011 00:14:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/897,/competitions/SemiSupervisedFeatureLearning,None
/argv,open source code that supports svm-light format data,"For those who are interested, there's a great list of open-source projects that support svm-light format data, available here: http://mloss.org/software/dataformat/svmlight/",0,None,1 Comment,Thu Sep 29 2011 02:30:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/898,/competitions/SemiSupervisedFeatureLearning,None
/beingzy,import .svm.dat data into R,"Hello, everyone here, is anyone willing to give an instruction on importing the train or test dataset .svm.dat into R? I am newbie in the SVM data format given that I had worked on R for years. I will appreciate any kind help here. Thanks in advance.",0,None,5 ,Thu Sep 29 2011 05:17:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/899,/competitions/SemiSupervisedFeatureLearning,None
/pprett,Dataset creation,"Can you describe how the train, test, and unlabeled datasets have been created? In particular, can we expect that the class distribution is similar in all three sets? Have the documents been sampled independently? thanks, Peter",0,None,2 ,Thu Sep 29 2011 16:19:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/900,/competitions/SemiSupervisedFeatureLearning,9th
/kkevin,Submission (when does the clock reset),"Late in joining the game, but with the clock ticking and not many more opportunities to submit I just wanted clarify what the submission limit is: I think it's two submissions per day, but when does the day begin and the submission counter reset?",0,None,2 ,Thu Sep 29 2011 22:15:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/901,/competitions/dunnhumbychallenge,5th
/argv,"Benchmark minibatch k-means, step by step","I've just posted another benchmark, using the minibatch k-means from sofia-ml. The cluster centers were learned on the combination of the unlabeled dataset and the training data set. This benchmark used larger minibatch sizes and more iterations than the ""example entry benchmark"", and took about 25 minutes to train the cluster centers on a normal laptop rather than about 60 seconds. Since there had been some questions previously, I thought it might be helpful to give the full set of commands used to produce this benchmark: # Step 1. Combine the unlabled data set with the training data. cat ../competition_data/unlabeled_data.svmlight.dat ../competition_data/public_train_data.svmlight.dat > concatenated_data.dat # Step 2. Learn the cluster centers. $HOME/sofia-ml/sofia-kmeans \ --k 100 \ --opt_type mini_batch_kmeans \ --dimensionality 1000001 \ --training_file concatenated_data.dat \ --model_out full_kmeans_model.txt \ --iterations 10000 \ --mini_batch_size 1000 \ --objective_after_init \ --objective_after_training \ # Step 3. Apply the learned cluster centers to the training data.$HOME/sofia-ml/sofia-kmeans \ --model_in full_kmeans_model.txt \ --test_file public_train_data.svmlight.dat \ --objective_on_test \ --cluster_mapping_out full_kmeans.train.dat \ --cluster_mapping_type rbf_kernel \ --cluster_mapping_param 0.01 \# Step 4. Apply the learned cluster centers to the test data.$HOME/sofia-ml/sofia-kmeans \ --model_in full_kmeans_model.txt \ --test_filepublic_test_data.svmlight.dat \ --objective_on_test \ --cluster_mapping_out full_kmeans.test.dat \ --cluster_mapping_type rbf_kernel \ --cluster_mapping_param 0.01 \ # Step 5. Create dense CSV format versions of the new data sets. ./svmlightToDenseFormat.pl full_kmeans.train.dat > full_kmeans.train.dense.dat ./svmlightToDenseFormat.pl full_kmeans.test.dat > full_kmeans.test.dense.dat # Step 6. Execute the ./runLeaderboardEval.pl script. ./runLeaderboardEval.pl full_kmeans.train.dense.dat ../competition_data/public_train.labels.dat full_kmeans.test.dense.dat /Users/dsculley/libsvm-3.1/ test.full_kmeans.out",0,None,2 ,Fri Sep 30 2011 04:18:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/902,/competitions/SemiSupervisedFeatureLearning,None
/stillsut,Related News on Healthcare ,"Not too familiar with the practices in healthcare of but a couple or articles have caught my eye, now that I've started this competition: [Link]:http://www.businessweek.com/ap/financialnews/D9NAR60G1.htm: Califronia has succesfully sued Quest Diagnostics for $200M+ for a scheme where doctors received kickbacks for recommending patients to Quest clinics. Especially important seemed to be de-frauding of patients using Medi-Cal. [Link]:http://www.boston.com/Boston/whitecoatnotes/2011/09/state-penalize-hospitals-that-readmit-too-many-patients/orkMrIXGmideu0PkL3CgHL/index.html Massachusetts Medicare plans to dock ""the pay of hospitals that readmit high numbers of patients within 30 days of discharge"" A follow up letter to the editor argued, this will encourage hospitals to keep patients longer the first time around. From my very limited knowledge though, it seems these are the type of issues that HPN was built to avoid, and also the type of issues we're getting offered a reward to try to solve. I'm curious if anyone understands: -> Does being a member of HPN mean you usually referred to an in-network provider of say lab testing (unless obviosuly it is some specialty unavailable)? -> Can you be a member of HPN and have gov't sponsored insurance eg Medicare, Medi-Cal? Here's the datamining part: if so, can we somehow identify this trait ( I'm thinking some standard PayDelay from such a giant admin system) and is this trait predictive of DIH, LOS, etc?",0,None,4 ,Fri Sep 30 2011 04:52:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/903,/competitions/hhp,None
/jhoward,Milestone winners' papers available,"The papers written by the milestone winners are now available [Link]:http://www.heritagehealthprize.com/c/hhp/Leaderboard/milestone1. As described in section 13 of the [Link]:http://www.heritagehealthprize.com/c/hhp/Details/Rules, if you have any concerns about these papers, you have 30 days from their posting to provide your feedback.",3,bronze,51 ,Fri Sep 30 2011 11:12:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/904,/competitions/hhp,None
/domcastro,Thanks,I really enjoyed this competition even though I wasn't very successful. Just saying thanks,0,None,15 ,Fri Sep 30 2011 12:57:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/905,/competitions/dunnhumbychallenge,58th
/pwfrey42,Prize Fund,"I was amused to note that a forum submission by Zimdot in the Give Me Some Credit competition has elicited 1381 views and 20 replies. He (she) asks ""Is the prize fund too low?"" His (her) reasoning is that the value of the improved predictions for the sponsor exceeds the prize amount by several orders of magnitude. It would seem that the same considerations apply to the Claim Prediction Challenge. Is this reasoning valid or am I missing something?",0,None,6 ,Fri Sep 30 2011 17:49:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/906,/competitions/ClaimPredictionChallenge,4th
/wcukierski,Leaderboard Saturation,Is the leaderboard already starting to saturate? The first 20 places are seperated by an AUC difference of 0.00166! The first 100 are seperated by 0.01458. I haven't looked at the data. Is nothing working for you guys/gals? Seems a little early in the contest for everyone to be so bunched up.,0,None,14 ,Fri Sep 30 2011 21:36:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/907,/competitions/GiveMeSomeCredit,None
/sirguessalot,Data Dictionary?,The file Carvana_Data_Dictionary.txt seems to be missing in the Data downloads.,1,bronze,9 ,Fri Sep 30 2011 22:34:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/908,/competitions/DontGetKicked,4th
/junji14430,"For the claims data, are the claims ordered by time?  Do we know which is the first , which is the second et al?","Hello, everyone, I'm a newbie here, I have two questions as follows: For the claims data, are the claims ordered by time? Do we know which is the first , which is the second et al? Thanks a lot in advance.",0,None,2 ,Fri Sep 30 2011 23:33:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/909,/competitions/hhp,349th
/jeffmoser,Leaderboards for visit_spend and visit_date ,"This competition was especially interesting because you had to predict two types of variables (visit_spend and visit_date). However, as [Link]:https://www.kaggle.com/c/dunnhumbychallenge/forums/t/872/which-is-better-your-date-or-spend-error, it's interesting to know how well you did on predicting each individual variable. When you submitted your results to Kaggle, we also calculated your percent correct for each variable. I've gone ahead now made this information public in 4 additional leaderboards: [Link]:https://www.kaggle.com/c/dunnhumbychallenge/Leaderboard/PublicVisitSpend [Link]:https://www.kaggle.com/c/dunnhumbychallenge/Leaderboard/PublicVisitDate [Link]:https://www.kaggle.com/c/dunnhumbychallenge/Leaderboard/PrivateVisitSpend [Link]:https://www.kaggle.com/c/dunnhumbychallenge/Leaderboard/PrivateVisitDate I hope these additional leaderboards provide an interesting additional dimension to what happened in this fun competition.",5,bronze,11 ,Sat Oct 01 2011 03:14:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/910,/competitions/dunnhumbychallenge,None
/teamsmrt,Company info?,"A google search for ""Carvana"", ""Carvana autos"", ""Carvana auctions"", and ""Carvana sell no evil"" returns no useful results. I think it's kind of odd that a company willing to put up $10k for a competition doesn't have a website that comes up in a google search. It is the name of a Brazilian actor and an Iranian steel company however. Is ""Carvana"" a made up company to keep us from knowing the real company behind this competition? I don't mind if it is a cover name, I just want to know the company is reputable (i.e. the prize money is real) before I put any effort into the competition. All I can infer from the data is that they are located in the U.S. and they have bought cars in most of the 50 states but not all of them (Florida and Texas seem to be very popular). Can anyone offer some insight/info about this company? I don't want to sound like a conspiracy nut, but I am really curious.",0,None,3 ,Sat Oct 01 2011 06:56:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/911,/competitions/DontGetKicked,153rd
/leiflauridsen,"Great competition, but..","I agree that this was a very enjoyable competition. Thank you. But I am afraid it did not necessarily produce the best forecasting models for the shopper problem. The problem as I see it is that the 30% test sample our submissions were evaluated against, were apparantly not very representative of the full dataset. In my case I effectively dropped out of the competition in the beginning of September when my submissions seemed to become significantly worse. I made a submission on August 23 which produced an accuracy of 16.57% on the test sample (which as it turns out was 17.44% on the full set) while I pretty much gave up after my improved methods submitted on September 5 only produced an accuracy of 16.13% on the test sample. In fact I now realise that the accuracy on the full dataset was much better, namely 17.89% which at the time must have been one of the best entries. Had I known this I would have doubled my efforts on that approach instead of dedicating my spare time to my family. So my family was happy but the bottomline is you may well have missed out on even better models because of the test sample not being representative of the full data set. I am not sure if the issue could have been avoided but I thought I should point it out.",1,None,8 ,Sat Oct 01 2011 10:24:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/912,/competitions/dunnhumbychallenge,15th
/benhamner,Who is behind this competition?,"I'm very interested in unsupervised and semi-supervised learning, and could be interested in this competition. However, you are asking a lot for the chance to be included in the acknowledgements section of a workshop paper, which is virtually meaningless. Will you please clarify who is running this competition along with your affiliation and your connection (if any) to the organizers of the NIPS workshop?",0,None,3 ,Sat Oct 01 2011 16:41:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/913,/competitions/SemiSupervisedFeatureLearning,1st
/wcukierski,Standardizing the SVM,"Will the final judgement on this competition be made by using the features rather than our own SVM labels? Doesn't this mean that the leaderboard is rather useless? Couldn't somebody use a fancier kernel or other method to game the leaderboard? Also, due to minor implementation/language differences, how are we to know that all linear C=1 SVMs will give the same labels? Perhaps the organizers could release a ""sanity check"" data set to validate that our own SVM classifier is in line with the one that will be used for the final judgement?",1,None,2 ,Sat Oct 01 2011 21:50:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/914,/competitions/SemiSupervisedFeatureLearning,1st
/ccccat,Prize Fund is Too Low ? Pt2(or3),"This is the continuation of the discussion started at: [Link]:http://www.kaggle.com/c/GiveMeSomeCredit/forums/t/870/prize-fund-too-low and [Link]:http://www.kaggle.com/c/ClaimPredictionChallenge/forums/t/906/prize-fund Initially I was skeptical about discussion of prize amounts. Probably, because I was participating in competitions mainly for fun. I did not see worrisome trend forming. Unfortunately now it is becoming clear - businesses are trying to use Kaggle to solve problems with potential multimillion return and paying peanuts for that. Let's consider Don't Get Kicked! competition. Here are quotations: "" Kick cars can be very costly to dealers after transportation cost, throw-away repair work, and market losses in reselling the vehicle."" "" Carvana is a start-up business that is being launch by a well-established American company. Its goal is to completely change the way people buy, finance, and trade their used vehicles by replacing physical infrastructure with technology and top of the line scientific models."" If we assume that there are approximately 1M used vehicles sold in one year in USA and 10% of them are ""kicks"" then reducing ""kicks"" just to 9% will generate profit of at least $50M per year. They are admitting that scientific models are the foundation of their business model, and at the same time they want to pay only $10K for 4 best models. The question is : do we want to do it? Can you imagine selling your algorithm for $5K and in several years watching on TV ""largest IPO of the century of ""the next Google"""" based on that algorithm? I do not have any problems with spending my time for common good (like scientific problem). However if somebody wants to make money using my solutions, then they should pay handsomely. I will continue participate in competitions because I like it. But I will not claim the prize and will not release algorithm if I think that we are taken advantage of.",2,bronze,27 ,Sat Oct 01 2011 23:33:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/915,/competitions/DontGetKicked,None
/mlearn,Image attachments,"How should we be attaching images to forum posts? In this [Link]:http://www.kaggle.com/c/dunnhumbychallenge/forums/t/912/great-competition-but I attached three png files. When I click on them I get told they're binary files from a ""windows.net"" domain rather than getting the image displaying directly in my web browser (Firefox). Should I have been doing something different? Ideally I'd like the picture to appear inline in the post but the only way of doing that seemed to be if I had somewhere else to host the image first. Thanks.",0,None,6 ,Sun Oct 02 2011 20:07:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/916,None,None
/chenguang0,SVM training time,"Hi! I wonder what's the typical SVM training time on your side for the 50000 samples? I ran on a very good machine. 20 minutes passed and it seems it will still go on for ever... (Should I add the ""-h 0"" suggested by libsvm to speed up?) Thanks!",0,None,5 ,Tue Oct 04 2011 05:25:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/917,/competitions/SemiSupervisedFeatureLearning,6th
/xiaonanji,Why RevolvingUtilizationOfUnsecuredLines is much greater than 1?,Is there something that I missed? I would assume this variable is between 0 and 1 but appearently there are many values that are greater than 1. Any suggestion? Thanks.,1,None,6 ,Tue Oct 04 2011 08:41:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/918,/competitions/GiveMeSomeCredit,534th
/pprett,AUC implementation,"Hi! What kind of tool is used to compute the leaderboard scores? Is it `perf` [1], libsvmtools [2], or some custom code? I wonder how score ties are handled... [1] [Link]:http://osmot.cs.cornell.edu/kddcup/software.html [2] [Link]:http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/ thanks!",0,None,12 ,Tue Oct 04 2011 10:07:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/919,/competitions/SemiSupervisedFeatureLearning,9th
/venki16197,Request for more info on fields,"How is the value for the fields of Acquisition price derived? What is the difference between Acquisition price and Acquisition price in retail market? AUCGUART - How does this field map to the Average condition of the Car WarrantyCost - What does this field mean, is this an additional expense to the Acquisition cost KickDate - is this date, the date vehicle is put in to auction again after the AutoDealer has purchased it? or The date in which the vehicle enters the Auction before auto dealer has purchased the vehicle? BYRNO - Is the Auto Dealer buyer here?",2,None,10 ,Wed Oct 05 2011 07:26:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/921,/competitions/DontGetKicked,88th
/nschneider,2nd Place Methodology,"I am gathering code and writing my process for Kaggle. As I am doing that I thought I would share findings and methodology as I go along. I handled my data manipulations and spend predictions in SAS. I used R to run Generalized Boosted Regression Modeling (GBM package) to predict the visit date. I also used JMP to visualize the data along the way. First, I focused on predicting spend amounts. Testing was done on the actual next spend amounts in the training data regardless of the next visit date. I tried a suite of median statistics: entire year, most recent 3 months, and recent 17 spend (based on roobs forum discussion). Then I tried some time series projections. I used Croston's exponential smoothing for sparse data to develop projections. This is really projecting usage of groceries and produced strange results due to small purchases after a long time period and large purchases after a short time period. I modified my formulas to predict needed inventory levels, i.e. how much does a customer need to refill their pantry. None of these time series methods outperformed the median estimates, so I abandoned this line of reasoning. Finally, after looking at the distribution of claims realized that the range covered by the median did not cover as much as other $20 ranges could. The final methodology used in the spend prediction is written below. This is from the documentation I am preparing for Kaggle and will discuss the date methodology in later post. Visit_Spend Methodology All presented methods use the same spend amounts. The amounts will differ based on the projected day of the week for the shopper's return, but the methodology is the same. A members next spend amount was developed on historical data only. There was no training a model on data past March 31, 2011. Training data are used later to optimize method selection. The chosen method optimizes the results based on the testing statistic for this competition. The metric for determining if the projected visit spend amount is correct was being with $10 of the actual spend amount. Maximizing the number of spends within the $20 window was accomplished by empirically calculating the $20 range that a customer most often spends. I termed this window the Modal Range. Typically, it is less than both the mean and the median of a customer's spending habits. Predictions were further enhanced by determining a modal range for each day of the week. In the final submissions, these values were also front weighted by triangle weighting the dates from April 1, 2010. (A spend on April 1, 2010 has a weight of one and a spend on March 31, 2011 has a weight of 365.) The projected visit spend was based off the day of the week of the projected visit date. In cases where the customer does not have enough experience on the return day of the week, their overall modal range is assumed. The training data were used to develop credibility thresholds for selecting a customer's daily modal range verse their overall modal range. The thresholds were hard cutoffs. If the customer did not have enough experience on a particular day of the week, the overall modal range was projected. The overall modal range was not front weighted like the daily ranges. Future considerations would have included replacing the thresholds cutoffs with a blending of the daily modal range and the overall modal range based on experience. EDIT: Added language that the fallback overall modal range was not weighted.",2,None,4 ,Wed Oct 05 2011 20:44:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/922,/competitions/dunnhumbychallenge,2nd
/pavelsergeev,Какую задачу мы решаем?,"В прошлом году было известно, что представляет собой задача классификации. Например ""Определение сорта ириса"" или ""Выявление предрасположенности к болезням печени"". В этой раз даны просто ""голые"" числа, без какой-либо информации. Это делает процесс решения менее интересным и увлекательным =)",0,None,1 Comment,Thu Oct 06 2011 03:04:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/923,/competitions/AlgorithmicCompositions,3rd
/larryc0,Evaluation Criterion,"I thought I knew what I was predicting, but now I am not so sure. The leader board lists a gini for each entry. I am familar with that in looking at income distributions, but the exact implementation here is not clear to me. I had assumed that I was going to supply a zero one variable as my prediction, but as I was checking here on how the gini has been used in the past and found that in at least one case the sort order was important. That would imply that I am predicting an ordering of the probabilities. The example entry does not give any clue as all the predictions have a value of zero. There is no tab on this challenge indicating the precise evaluation criterion. Google searches give results both for zero one classifications and for continuous classifications. So I am a bit confused on what the actual evaluation function is for this challenge. I would suggest that an evaluation button be added with the details spelled out to eliminate any confusion. Those who have been around this site for a while are likely making assumptions based on past challenges, but I would think that it is best to provide the specifics with each challenge.",4,bronze,31 ,Thu Oct 06 2011 23:11:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/925,/competitions/DontGetKicked,None
/salimali,Another Interesting Observation? ,"If you look at debtratio > 1, then you will see that if you have an integer value then you are a lot less likely to be a baddy than if you have a non-integer. If you track these integer people down, you will see they have missing incomes. So the conclusion from this is that income is estimated for these people and rounded. Either they are a completely different cohort with a reason for not having a personal income (businesses?) or the income estimation used in calculating debt ratio is very wrong! Any other hypostheses?",1,None,4 ,Fri Oct 07 2011 12:11:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/926,/competitions/GiveMeSomeCredit,89th
/matthewroos,Claim_Amount range,"Having read in the data I'm getting a total number of rows as 13184291. Of these, 95605 have a Claim_Amount > 0. The range of non-zero Claim_Amount is 0.0001531019 to 11440.75. This range seems quite strange if it is units of dollars or other major currency. Are other people getting similar numbers?",0,None,1 Comment,Fri Oct 07 2011 15:58:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/928,/competitions/ClaimPredictionChallenge,30th
/glebkolobaev,Реальная дата окончания.,"На вики шада написано, что срок сдачи второй домашки 11 октября в 9.00. Здесь висит дата окончания соревнования 12 октября 11:59. Когда реальный дедлайн?",0,None,1 Comment,Sat Oct 08 2011 00:55:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/929,/competitions/AlgorithmicCompositions,75th
/dpantele,Количество классов,"Правда ли, что классов всего 6, от 1 до 7 без 6? В тестирующей выборке тоже нет почвы класса 6?",0,None,1 Comment,Sun Oct 09 2011 16:59:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/932,/competitions/AlgorithmicCompositions,33rd
/mattfrancis,Theory behind AUC?,"I realise there are a number of threads around about AUC, but I'd like to ask a general question about the motivation for using AUC, and where it is derived from. When a series of binary events is being predicted probabilistically, it is easy to show from probability theory (i.e. pretty much straight from Bayes theorem) that the optimal solution is given by minimising the following fitness function (in pseudo code) Sum i from 1 to num_events if result_i == 1 then sum += 1 + ln P_i else sum += 1 + ln(1-P_i) where P_i is the predicted probability (between 0-1) of each event occuring. Now, this gives a different result to AUC, and hence as far as I can see AUC does not (neccesarilly) reward the model that most accurately reproduces the 'real' probabiliy of events occuring. The downside is that the predictions must be probabilities, rather than arbitrary real numbers as in the case of AUC, but that's just a question of model construction. Is there a sound theoretical basis to AUC that makes it preferable to that suggested by probability theory? It seems a little ad hoc to me, although I am happy to be corrected if someone can give me some more details. One thing that bugs me is that if two models give the same ordered ranking then they are identical in AUC, but one might reproduce the probabilites better than the other. AUC seems inherently limited in this respect?",0,None,2 ,Mon Oct 10 2011 14:07:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/933,None,None
/daniilkononenko,финальное тестирование,В ходе соревнования я сделал несколько submissions. Какой из моих векторов ответов будет использоваться для финального тестирования на всей тестовой выборке?,0,None,3 ,Mon Oct 10 2011 18:55:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/934,/competitions/AlgorithmicCompositions,22nd
/wilsta,Model Validity,"Are there any criteria around model validity? i.e. does the model need to make intuitive sense? I'm guessing that if it doesnt make intuitive sense (perhaps through overfitting), then its economically meaningless. My question is, does that matter for this competition? We all have a very similar AUC, however I'm certain we don't all have an economically meaningful model (i.e. a model that can be approved by a banks internal credit committee or external regulator for instance).",0,None,7 ,Tue Oct 11 2011 02:06:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/936,/competitions/GiveMeSomeCredit,329th
/wilsta,What gives?!,"I get a strong gini on my development set, then a rubbish gini in the hold out set after submission. There must be differences in the distributions or something. Haven't looked at it hard enough yet ... but are you guys getting the same?",0,None,13 ,Tue Oct 11 2011 09:48:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/937,/competitions/DontGetKicked,202nd
/lapakshi,Submission...,"Hi Folks, Just wondering about the submission file format. The example_entry.csv has two vars - RefID, IsBadBuy My question is, does the second column have to be in 1/0 format or a measure of predicted probability - real number in [0,1]? Thanks!",0,None,4 ,Tue Oct 11 2011 22:39:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/938,/competitions/DontGetKicked,374th
/argv,deep learning methods tried yet?,We're at around the halfway point of the competition; thanks to everyone who has submitted results so far! I wanted to check in and see if anyone has applied deep learning methods or deep auto-encoders so far. Have they helped? What other methods have folks tried that have worked well -- or not as well as expected?,0,None,3 ,Fri Oct 07 2011 14:53:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/927,/competitions/SemiSupervisedFeatureLearning,None
/egorfilonov,оценка за соревнование,какая корелляция с местом/результатом? если все 100% наберут то все получают 20? и если ничего не получится то 0?,0,None,1 Comment,Sat Oct 08 2011 11:51:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/931,/competitions/AlgorithmicCompositions,25th
/tuzes17475,submission korlát,"Miért van az, hogy csak 2-t próbálkozhatok naponta? Szeretnék akár 10-et is beküldeni, nem megoldható? Pl szeretném megmtudni, hogy apró változtatások a kódomon hogyan segítenek közelebb a megoldáshoz.",0,None,3 ,Mon Oct 10 2011 22:25:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/935,/competitions/PhotometricRedshiftEstimation,3rd
/statgeek,Data Quality Issues,"In case anyone hasn't noticed under transmission there's 3 entries 'AUTO', 'MANUAL' and 'Manual'. Depending on what you're doing you might miss the case change.",2,bronze,1 Comment,Tue Oct 11 2011 23:04:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/939,/competitions/DontGetKicked,358th
/del=510c80756bf93118,test labels,"Dear Organisers, could you, please, publish test labels for both dates and spends, so that we shall be able to use them in our educational and research programs here at the Vyatka State University. Many thanks,",0,None,3 ,Wed Oct 12 2011 06:20:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/940,/competitions/dunnhumbychallenge,None
/batman3,Batman is not happy...,Robin: I'm coming after you. Give me 24 hours buddy.,0,None,2 ,Wed Oct 12 2011 06:34:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/941,/competitions/BeerSalesPrediction,13th
/barrenwuffet,R script for AUC calculation,"Out of curiosity, does anyone have the calculation for AUC written in R? If you'd post it, it would be great, otherwise I know what I'll be doing this weekend. Thanks.",0,None,3 ,Wed Oct 12 2011 07:38:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/942,/competitions/GiveMeSomeCredit,232nd
/yaaang,Open-sourcing the winning entries,"In [Link]:http://www.kaggle.com/c/wikichallenge/forums/t/851/competition-is-almost-over you mention that you're collecting the entry sources. Given the background of this competition and the open nature of the Wikipedia foundation, would you consider releasing the sources you receive (or at least of the winning entries)? It seems at the same time both appropriate and an opportunity not common to all Kaggle competitions. We all stand to learn a great deal from this work. The blog posts are important, but being able to study the sources would be a game-changer. Thanks!",0,None,8 ,Thu Oct 13 2011 10:10:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/943,/competitions/wikichallenge,8th
/subratac,Refid missing in the dataset,"I noticed that some of the Refid are missing in the training dataset. For example, there is no RefId 797 in the training dataset. There are many more Refid that are missing ... this one is just one example. Is this true or am I reading the dataset incorrectly? Thanks!",0,None,7 ,Fri Oct 14 2011 04:59:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/944,/competitions/DontGetKicked,112th
/madhavkumar2005,Clarification regarding the submission.,"This might sound a little stupid, but we have to predict the probability that a customer will experience financial ""distress"" right? The reason why I am asking is because on the submission page, when I try to make a new submission, it says on the right side in the blue box Each predicted value must be: A real number. That is, a real-valued number in the interval (-∞, ∞). Is that a typo or am I missing out on something?",0,None,2 ,Sat Oct 15 2011 15:16:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/946,/competitions/GiveMeSomeCredit,349th
/tuzes17475,módszerek és eredmények,"Itt jó lenne leírni, hogy ki milyen módszer(ekk)el dolgozott, és milyen eredményeket ért el vele. Kezdem magam: egyszerű átlagát vettem a tanuló halmaz redshiftjének, és ezt adtam meg mindegyik megmérendő galaxis redshiftjének RMSE: 0.115 körül futási idő: másodperc k szomszéd közelítés k=1 mellett RMSE: 0.043 futási idő: 2-2,5 óra @ 1.2GHz k szomszéd közelítés k=2 mellett, figyelembe véve, hogy a mérési eredményeknek szórása is van. (A hibát gauss típusúnak feltételeztem, a megadott hibát pedig mint a gauss függvény szigmája vettem - 5 dimenzióban. A redshiftet a k legközelebbi szomszéd súlyozott redshiftjéből számoltam, ahol a súlyozás az 5 dimenziós gaussok átfedési integrálja alapján történt, azaz a legközelebbi galaxis súlya úgy aránylik a 2. legközelebbiéhez, mint az integrál (mérendő galaxis 5dim gaussa * 1. legközelebbi galaxis 5dim gaussa) és a integrál (mérendő galaxis 5dim gaussa * 2. legközelebbi galaxis 5dim gaussa) RMSE: 0.03807 futási idő: 5-6 óra k szomszéd közelítés k=200 mellett, figyelembe véve a hibákat RMSE: 0.03599 k szomszéd közelítés k=200 mellett, figyelemen kívül hagyva a hibákat (helyettük 0,1 értéket vettem) RMSE: 0.03519",0,None,5 ,Sat Oct 15 2011 23:42:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/947,/competitions/PhotometricRedshiftEstimation,3rd
/however,submission,He. where can i find an example of submission. i read tha we can use many programs to create the algorithm but i can't understand how and what do i have to send. can someone post a valid submission form? thankyou,0,None,1 Comment,Sun Oct 16 2011 13:54:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/950,/competitions/hhp,None
/smcinerney,Writeups of winning methodologies?,"We are doing a DM/ML course project and I would like to use the winning approaches to this competition as material, but in order for that I would need to know the details this week. [Link]:http://www.kaggle.com/c/dunnhumbychallenge/forums/t/922/2nd-place-methodology/6041#post6041 already posted a good writeup. D'yakonov Alexander, Ben Hamner and all the others - are you doing writeups of your winning methodologies? Can you at least tell us in one paragraph what you tried and what you used? Thanks in advance",1,None,2 ,Sun Oct 16 2011 15:55:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/951,/competitions/dunnhumbychallenge,None
/clancybirrell,ROC AUC as an incoherent classifier measurement,"Hi, Wondering if the admin's at Kaggle have read or heard about this paper and if so what are the thoughts on continuing to use ROC AUC for competition relative measures. (I admit I have not pored over the conditions to confirm if the ROC is still in fact the AUC being used) http://www.google.com.au/url?sa=t&source=web&cd=4&sqi=2&ved=0CDkQFjAD&url=http%3A%2F%2Fwww.springerlink.com%2Findex%2Fy35743hp7010g354.pdf&ei=gO-aTriKGeaQiAfJ2ZisAg&usg=AFQjCNFTGCEEx3S8Qe9__OUZYbI3vepGQQ Regards, Clancy.",1,None,1 Comment,Sun Oct 16 2011 16:55:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/952,None,None
/vishalsurana,SeriousDlqnin2yrs vs 90DaysLate,"Hello, I couldn't quite grasp the difference between SeriousDlqnin2yrs vs NumberofTimes90DaysLate. Based on the definition of the former, I would guess that if a person is 90 days or more past due, then he/she is delinquent as per the definition of SeriousDlqnin2yrs. Can you also illustrate the difference with an example? Additionally, for a person to be SeriousDlqnin2yrs, is not necessary for him/her to be 90DaysLate atleast once? If that is the case, then how do we have entires where a person has been delinquent, but hasn't been 90 days past due? Thanks!!",1,None,2 ,Mon Oct 17 2011 05:43:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/954,/competitions/GiveMeSomeCredit,None
/cbusch,RMSLE,What is the accuracy percentage of a model with an RMSLE of .4?,0,None,8 ,Mon Oct 17 2011 21:53:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/955,/competitions/hhp,266th
/argv,Final reminder: send descriptions to semisupervisedfeatures@gmail.com,"Thanks again to all of the competitors -- the range of approaches and quality of submissions has been fantastic! As a final reminder, remember to send the short descriptions of your four selected submissions to semisupervisedfeatures@gmail.com by the end of the competition deadline so that the results can be eligible for the prize and your work properly credited in the competition writeup. An example description appears in the thread ""Final Submission Details"" Thanks again for participating!",0,None,1 Comment,Tue Oct 18 2011 00:56:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/956,/competitions/SemiSupervisedFeatureLearning,None
/benhamner,Contest methods,"Surprisingly, one supervised method we tried on a whim to establish a supervised baseline ended up as the top performing model. Here's a brief description of our method: Though we explored various unsupervised and semi-supervised options, our best submission consisted of purely supervised features: the posterior probabilities output from Breiman's Random Forest algorithm. Input features to this algorithm came from the union of two sets: the top k features with the most non-zeros, and the top k features with the largest difference between class means. The sum of all features for each data point was included as well. Only the labeled dataset was used to select these features and train the model. A total of 5 submissions were included as final features, each comprising a different number of the top features from the two feature selection methods (ranging from ~600 to ~1400 total features) and slightly different random forest parameters. This method got first on the public and private sets, with a private AUC of 0.9771. Here's several of the alternatives we explored: Weighted k-means / mini-batch k-means Wrapper methods around supervised methods to incorporate unsupervised data Wrapper methods + multiple views around supervised methods SVD Here's some of the other methods that we did not have the time and/or computational resources to explore, but we wanted to and are curious to see if other contestants gave them a shot: Sparse autoencoders Deep belief networks Restricted boltzmann machines Latent dirichlet allocation Self-organizing maps Graphical models",5,bronze,17 ,Tue Oct 18 2011 04:37:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/959,/competitions/SemiSupervisedFeatureLearning,1st
/szira18868,Csevegő,"Csak kipróbálom a fórum funkciót, ha már itt járok. Legalább lesz hova írni, ha valakinek valami bánata van a házival :) Pá, Norbi",0,None,3 ,Tue Oct 18 2011 10:38:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/961,/competitions/DMT2011RapidMiner,4th
/robrenaud,Did anyone try to bootstrap the unlabeled data?,"Train a classifier on the labelled data. Label all the unlabelled data. For the most confident freshly labelled data, throw it back into the labelled data set and retrain.",0,None,1 Comment,Tue Oct 18 2011 19:09:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/962,/competitions/SemiSupervisedFeatureLearning,None
/yogahariman,DebtRatio(Percentage) >1 for MonthlyIncome,"if i show values of DepthRatio>1, i get MonthlyIncome pola like this DebtRatio(Percentage) MonthlyIncome 2 NaN 2 NaN 2 NaN 2.00039994700000 7500 2.00059988000000 5000 2.00159936000000 2500 ....... 2.97956577300000 782 2.99375780300000 800 2.99467376800000 750 3 NaN 3 NaN 3 NaN .... Data will be NaN(Null Value) if DebtRatio>1 and values of DebtRatio is integer how to explain this pattern??",0,None,1 Comment,Thu Oct 20 2011 08:40:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/964,/competitions/GiveMeSomeCredit,416th
/jeffmoser,External Data,"The competition host is allowing the use of external data in this competition with the following restrictions: The dataset must be freely available and usable for commercial purposes The dataset must be helpful in making future looking predictions (i.e. you shouldn't use a dataset that is specific to one year simply because this competition's test set is in the past. The dataset should be helpful in making future predictions) To ensure compliance with the above guidelines, you must provide a link to external dataset(s) you use to generate a submission that you upload for scoring. This link should be provided as part of this forum topic.",5,bronze,24 ,Thu Oct 20 2011 17:38:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/965,/competitions/DontGetKicked,None
/atos18420,Get start wit kaggle,"I want to get star with kaggle and i dont know difference between test and trainig data. also what should i produce as an outcome?dose it have percentage type or binary(0,1) like training data???",0,None,2 ,Fri Oct 21 2011 11:56:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/966,/competitions/GiveMeSomeCredit,None
/jfister,Natural Language Processing,"As a Kaggle member, I thought this would be of interest to others. We are looking for someone with a background in NLP and Machine Learning for 20-40 hours per week. Here are the details EDIT: no longer available",1,None,2 ,Fri Oct 21 2011 15:53:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/967,None,None
/solorzano,Leaderboard Layout,It appears to be broken in FireFox 7. (Looks fine in IE 8).,1,bronze,3 ,Fri Oct 21 2011 20:10:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/968,None,None
/laszlomocsar,Leaderboard screwed,"For 2-3 days now, leaderboard seems screwed in my Firefox 7.0.1 (see attachment) What's changed? Can you undo it in the webpage code? (in Opera 11.5, it looks ok) Any ideas? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1359/leaderboard.jpg",0,None,2 ,Fri Oct 21 2011 23:15:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/969,/competitions/DontGetKicked,283rd
/signipinnis,Improving the models,"Now I feel bad, my last comment in the Milestone Papers thread has apparently killed off all the conversation in the entire forum. Not my intention. Okay, I'll ante up a chip ... I'm imputing sex for all the sex=unknown members. Which is to say I've just started, I don't have any results yet to know if it improves the models.(I'm a slow worker, and literally all I knew about R when I started was that it was the the 19th letter in the alphabet. (See, even that micro bit was wrong.)) Anybody else find inputing sex helps ? Or not ?",0,None,10 ,Sat Oct 22 2011 05:54:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/970,/competitions/hhp,864th
/silicon2006,questions on D'yakonov Alexander's methodology,"We got the following questions on D'yakonov's methodology and wonder if there are any explanations. (1) In the formula to calculate Pt on the 1st page, why do you weight the data from each week by (53-r)^2? This factor varies significantly! (2) In the formula above, why you consider the first visit of each week twice using 0.125*delta( t-7r)? The importance of ""first visits"" are already taken into considerations in the later discussions, e.g. p2' = (1-p1)p2. (3) Is there any theoretical basis for using pt'*(mt + epsilon) to find the most probable date of first visit? Why not using pt alone? or pt *sqrt(mt + epsilon)? (4) On the 2nd page, (mu(1), ..., mu(m)) = (mu(1),...,mu(n1), mu(1)',...,mu(6)', mu(7)',...mu(n2)'), what does the formula mean? (5) On the 2nd page, what does it mean by ""add the last purchases, no more than 6+ 0.4 *n1""? (5) On the 2nd page, what does it mean by ""using weights sqrt(m), sqrt(m-1),....""? Best regards, Bo.",0,None,1 Comment,Sat Oct 22 2011 10:44:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/971,/competitions/dunnhumbychallenge,None
/matthewroos,What approach did you use? Any boosting?,"Hi, Everyone. Things have been quiet here and I'm eager to hear about the methods the winners used. Is anyone else willing to share his or her approach (regardless of how successful it was)? I joined the competition late and only had time to use some of the categorized variables but below is a summary of what I tried. It gave a score of 0.1 on the training data (I did not segment the training data into subsets for cross validation so there was probably some overfitting). My final test score was only 0.079 but maybe that's not so bad given that I didn't use any continuous variables or the model and year information. I utilized the vehicle make, the 12 alphabetic vehicle categorical variables, the 1 ordered vehicle categorical variable, and the 1 alphabetic non-vehicle categorical variable. I’m working with a 5 year-old MacBook so the large data set was cumbersome. I only worked with one variable at a time, reading the data in and labeling all categories with integers, rather than alphabetic characters, for further processing in Matlab. For each category I computed the mean amount paid for each label within the category (e.g., ‘A’, ‘B’, etc.) and stored the mean values (and number of entries (Row_IDs) associated with each label). Then, for each entry/Row_ID I computed the sum of the means affiliated with labels. For example, imagine an entry had a Cat1 value of ‘E’ and a Cat2 value of ‘B’. If all entries with an ‘E’ for Cat1 had a mean amount paid of 0.0059 and all entries with a ‘B’ for Cat2 had a mean amount paid of 0.0079 then the total score for the vehicle would be S = 0.0059 + 0.0079 +…. (add values for all other categories). The final ordering prediction/estimate was derived from a ranking of these scores. It was slightly interesting to note that one can estimate the normalized gini based on a *single* categorical variable, given the mean amount paid and number of entries associated with each label (i.e., one doesn’t need to compute the gini directly). NormGiniEstimate = 1 – (A1+A2)/A0 A0 = SUMi(Ni*Mi)*SUMi(Ni)/2 A1 = SUMi(Ni^2*Mi)/2 A2 = SUMi(Ni*SUMj(Nj*Mj)), where SUMj is taken over j ...where Mi is the mean amount paid for the i-th label and Ni is the number of entries with the Mi label. Mi and Ni are sorted by Mi such that M_i <= M_i+1. A small number of categorical variables had notably higher gini scores and most of the predication power came from these variables alone (adding all others to the total score made little or no difference in the final ranking). I tried weighting scores from each variable differently based on things such as the predicted single-variable gini values, variance of label means within a category, etc., but found nothing better than equal summation. I also tried boosting using AdaBoost. For this approach I used each variable as the sole input to a classifier. If an entry had a label with a mean amount paid below the total average, I classified it as non-paying, otherwise as paying. All classifier outputs were weighted based on AdaBoost. The results were very disappointing, approaching complete randomness. I’m new to boosting and this was my first attempt to use it, so I’m very curious to know if others tried it and what the results were.",1,bronze,2 ,Mon Oct 24 2011 17:28:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/973,/competitions/ClaimPredictionChallenge,30th
/blindape,someone is trying to interpret data from a clinical point of view,or you direct efforts preferentially to the predictive model? I am having serious problems with the clinical interpretation and am about to give it up and focus on more theorical/abstract data mining,0,None,1 Comment,Mon Oct 24 2011 19:57:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/974,/competitions/hhp,3rd
/dslate,Splitting of data into training and test,"The Data page says: ""The data set is split to 60% training and 40% testing."" Can you confirm that records are assigned randomly between training and testing, and also randomly between the Public (Leaderboard) and Private datasets?",1,None,19 ,Tue Oct 25 2011 06:40:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/975,/competitions/DontGetKicked,2nd
/wepredict,Full time job in the UK solving this problem.,"I’m not sure how long this post will stay up, or if this is even within the rules, however here goes. We are a predictive analytics company and we have teamed up with the an NHS team to use NHS data to work on the unplanned hospitalization problem. We have fantastic academic support as well as a dedicated team to help you work on this problem. We want to hire someone full time to develop predictive health solutions with this competition as a back drop. If you are interested please contact me. James Davies Managing Director jdavies@wepredict.co.uk www.WePredict.co.uk",0,None,2 ,Tue Oct 25 2011 13:36:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/976,/competitions/hhp,291st
/sashikanthdareddy,Leaderboard ranking,"Hi, Any plans in making the leaderboard report performance statistic averaged on a N-bootstraped samples rather than a point estimate? While you are at it maybe add some confidence levels to the average obtained from the bootstrap.",0,None,1 Comment,Tue Oct 25 2011 19:49:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/977,/competitions/GiveMeSomeCredit,426th
/blindape,I repeat this question I think important,May be a patient in target file who has died in Y4 after one or more claims. It's unclear whether patients who died after some claims in Y4 has been deleted.,0,None,1 Comment,Tue Oct 25 2011 21:11:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/978,/competitions/hhp,3rd
/sirguessalot,"interpretation of ""probability of default""","This is a question for fellow Kagglers. Suppose a person scores x = 0.25 as their probability to default. Is there some industry-standard benchmark or formula that is used to determine whether that person should be given credit or not? Other than the obvious ""probability cutoff"" (e.g. nobody above 0.75 is given credit) what approach would you use to determine eligibility?",0,None,7 ,Wed Oct 26 2011 18:12:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/979,/competitions/GiveMeSomeCredit,28th
/keiththerring,Wikipedia Participation Challenge : An unfortunate ending,"I'd like to discuss what has turned out to be an unfortunate conclusion to the Wikipedia Challenge. First let me say though that I appreciate all the effort put in by Diederik van Liere from Wikipedia who sponsored the competition. Also I'd like to say that I think Kaggle is a great concept and I'm really rooting for its continued success. As a data enthusiast, the two competitions that I've had a chance to participate in have been a fun way to spend a bit of my spare time. So I hope the lessons learned from the Wikipedia Challenge will help to improve the experience for participants in future competitions. At the end of the competition I looked over the solution submitted by Benjamin Roth and Fridolin Roth, who ended the competition at the top of the leaderboard. Before getting into the issue, I'd like to say that I mean no disrespect to them and appreciate their participation in the challenge. That said, I was surprised to see that their winning solution was simply a standard/vanilla linear regression model on approximately a dozen features. Upon further inspection I noticed that they made an unusual/arbitrary choice of training two linear regressions, one on the ""odd"" editors and another on the ""even"" editors. Here ""odd"" and ""even"" is defined w.r.t. their index of appearance/ordering in the original training set, training.tsv, not by user id. From a learning theory perspective, I found this to be puzzling since this odd/even distinction is an arbitrary feature of the data set construction and should have no influence on the quantity being predicted, future edits. Further investigation revealed that there was a significant flaw in how the training set, training.tsv, was constructed. The ""odd"" editors all had zero future edits and the ""even"" users all had greater than zero future edits. In other words, the order of the training set was not properly randomized. Through no fault of their own, Benjamin and Fridolin stumbled upon this mistake in the data set construction, perhaps unaware that it was an artifact/mistake. According to Diederik: ""they were curious about it, but it just performed very well"", which suggests they are still new to data analytics and learning, a position we all start from. It is through perfect knowledge of which editors quit (zero future edits) that their model was able to achieve such high performance using only a standard linear regression. Unfortunately though it would be impossible to know this information in general, since this is precisely a significant fraction of the quantity/output in which the model is designed to predict. As such it is not a valid model and can't be used by Wikipedia to gain insight on editor participation. Had their model been applied to randomized data, i.e. without the knowledge of which users quit, it would have performed outside the top 50 w.r.t. the final leaderboard. In short I hope that Kaggle can apply the lessons learned from this unfortunate randomization error and take a more active role in helping the sponsor in constructing their data sets. I think it would be a shame for these competitions to be decided based on mistakes/artifacts in the data set, particularly mistakes like not randomizing the order of the training samples, rather than on predictive capability. Happy mining to all......",10,silver,9 ,Wed Oct 26 2011 18:44:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/980,None,None
/keiththerring,An unfortunate ending to this competition,See my post on the main forum for an explantion on how the first place team was able to achieve their result. It is an unfortunate ending to an otherwise great competition.,0,None,5 ,Wed Oct 26 2011 19:18:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/982,/competitions/wikichallenge,2nd
/cloud9,Websites for health information management professionals,Slightly OT but are there any websites that people here frequent to stay on top of trends in healthcare information management?,0,None,3 ,Fri Oct 28 2011 00:25:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/983,/competitions/hhp,None
/petewarden,Welcome!,"I just wanted to post a quick note thanking everyone who's taking a shot at this. I've been a fan of Kaggle for a long time, so I was excited when I hit a problem that seemed like a good fit. I'm going to be following the forum, so feel free to shoot me questions here and I'll do my best to answer. I'm also working on putting together an open example showing our current best solution (which is extremely primitive) just as a reference. As a tiny startup, I think we're in an unusual position. A lot of the competitions here seem to be intractable problems that have baffled internal teams at large organizations. I've been so impressed with the quality of the solutions that have come up here that I'm turning to you folks first, not as a last resort. I'm looking forward to seeing how this approach works out, and I wish you all luck! cheers, Pete Warden, @petewarden",0,None,16 ,Sat Oct 29 2011 23:50:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/985,/competitions/PhotoQualityPrediction,None
/robertlachlan,Other data sets?,"Are we allowed to look for external data to train our algorithm? Something that comes to mind is in the data description, where you mention that you expect ""areas in Africa rich in wildlife [have] a high proportion of good photos"". So following that example, are we allowed to look for geographic data sets that might help interpretation of the latitude and longditude values?",0,None,13 ,Sun Oct 30 2011 06:59:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/986,/competitions/PhotoQualityPrediction,None
/alecstephenson,Website Small Technical Issue,"I posted my first submission about an hour ago giving me a public score 0.22024, but there appears to be some technical issue and I am not shown on the leaderboard. Should be 4th currently. Thanks.",1,bronze,1 Comment,Sun Oct 30 2011 12:53:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/987,/competitions/PhotoQualityPrediction,91st
/sirguessalot,Anonymization technique?,"I have a couple of questions about the technique used to convert words into integer tokens (name, description, and caption fields): 1. Were ""stop words"" removed prior to anonymizing? (stop words in English would be the most common ones that don't really carry a meaning, e.g. ""the"", ""a"", ""on"", ""of"", etc.). 2. Was the word order preserved prior/after anonymization? 3. Do any of the integers represent more than one word? E.g. 306 = ""Eiffel Tower""? Thanks.",1,None,3 ,Sun Oct 30 2011 18:41:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/988,/competitions/PhotoQualityPrediction,16th
/blindape,"489 with age>90 and 13 with age>100, the record is 109",I think some data are for a few years ago and age has been calculated with (birthday date - actual date).,0,None,1 Comment,Mon Oct 31 2011 14:48:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/989,/competitions/GiveMeSomeCredit,62nd
/chunk18552,Pending Score,I've had a submission not scored but listed as 'Pending'. Anyone know how long it'll take to be scored?,0,None,6 ,Mon Oct 31 2011 23:27:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/990,/competitions/AdvancedDataManagementMusicIdentification,1st
/petewarden,Here's a benchmark and example code,"The Kaggle folks requested that I put together a benchmark demonstrating our current approach, so I pulled together a project and open-sourced the code: http://petewarden.typepad.com/searchbrowser/2011/11/how-to-enter-a-data-contest-machine-learning-for-newbies-like-me.html I don't think you'll learn much from it (except how much I need your expertise!) but I wanted to give you all a heads-up that it was out there.",1,bronze,13 ,Tue Nov 01 2011 07:30:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/991,/competitions/PhotoQualityPrediction,None
/dirknbr,Naive Bayes,"As this is a spam type problem, has anyone tried Naive Bayes yet?",1,None,3 ,Tue Nov 01 2011 11:00:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/992,/competitions/PhotoQualityPrediction,86th
/dirknbr,user id,"Wouldn't user id's be good variables to use, for the photo producer as well as the rating user?",0,None,5 ,Tue Nov 01 2011 11:01:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/993,/competitions/PhotoQualityPrediction,86th
/del=1b2c033727f817d4,Free Online Course about Machine Learning,"I just found this free course, got excited and I thought I share the information, maybe you will find it useful :-) http://www.ml-class.org/course/auth/welcome Best, Csiga",1,bronze,1 Comment,Tue Nov 01 2011 14:55:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/994,/competitions/hhp,1250th
/clueless0,Distance between two points,"Here's a little tidbit that may save someone a little search-engine time... Fun note: I don't sail or fly, so I didn't learn this from a navigation course. Instead I once had a data analysis problem for which I needed to ""cover"" the surface of variable-size sphere with N near-equidistant points, where N was variable (between 6 and ~50000 typically). Easily done for certain numbers of points, obviously, but much more difficult for others. So, without further ado: Given two points defined by latitude and longitude you can calculate the distance using the spherical law of cosines. Actually the haversine method is more accurate, but since the lat/lon points we're given are rounded there's no point in using that. You can also calculate a bearing, but I'll leave that as an exercise for the reader (LOL). And now for the actual math: Given: Two points defined as [lat1, lon1] and [lat2, lon2] and R (the mean radius of the earth in km: ~6371). distance = acos(sin(lat1)*sin(lat2) + cos(lat1)*cos(lat2)*cos(lon2-lon1)) * R If anyone spots an error in the formula I apologize in advance, but please tell me so I can edit this post accordingly.",2,bronze,2 ,Tue Nov 01 2011 20:05:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/996,/competitions/PhotoQualityPrediction,47th
/scifipix1,AUC code for MATLAB,"Hello everyone, Does anyone know how the AUC is being calculated for the leaderboard positions? It will be very convenient if I could have the AUC code for MATLAB to test my code & then upload it. Thank you.",0,None,7 ,Wed Nov 02 2011 00:47:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/997,/competitions/GiveMeSomeCredit,174th
/jeffmoser,Optimized Constant Benchmark,"I [Link]:http://www.heritagehealthprize.com/c/hhp/forums/t/661/the-optimized-constant-value-benchmark from the Heritage Health Prize and created the ""Optimized Constant Benchmark"" of submitting all −s0−log(1−p0)log(p0)−log(1−p0)=¯ei where s0 is the public score for all zeros , p0 is the ""capped"" score for 0 which is 0.01 and ei is the average expected score which comes to be ≈0.262776080526733. I might have made a mistake in my derivation. Can anyone double check my math? Alternatively, prove me wrong with a better constant value submission :)",0,None,5 ,Wed Nov 02 2011 00:48:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/998,/competitions/PhotoQualityPrediction,None
/mgolden,Limited participation,"Hi, I'm new here and can't seem to find on the website what is meant by a ""Limited participation competition""? How does one request to join such a competition?",8,None,9 ,Thu Nov 03 2011 10:14:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/999,None,None
/gurujeet,Where is external data posted,"I'm new here, and apologies if this has been asked and answered. The rules indicate that it is ok to link in external data so long as it is published in some way for others to also see and use. Where do we find any external data that others may be using? Thanks, Gurujeet",0,None,2 ,Thu Nov 03 2011 19:57:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1000,/competitions/hhp,None
/i9051815,Delete a submission,Anyone know if you can delete a submission? I accidentially submitted ones based on training not test data.,0,None,1 Comment,Thu Nov 03 2011 21:31:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1001,/competitions/AdvancedDataManagementMusicIdentification,9th
/daywednes,"programming languages, and tools","Hi all, I'm a newbie in this kind of competition. I only know a bit octave to do machine learning problem. After trying to use octave to load training data, I feel like it's kinda slow compared to a program written in C++. Would anyone here recommend me some other tools used in this kinda competition?. It would be useful to some other newbies like me. I found out python-sklearn is pretty faster than octave. Thanks alot",0,None,7 ,Fri Nov 04 2011 06:43:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1002,/competitions/PhotoQualityPrediction,171st
/blindape,A question to the netflix competitors,"Based in your experience in that challenge, do you think the current pace of improvement in HHP prize is sufficient for reach the 0.40 threshold?",0,None,9 ,Fri Nov 04 2011 13:48:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1003,/competitions/hhp,3rd
/changeagents,Population Characteristics,"I appreciate the commpetitive opportunity, although I doubt I will spend much energy on this. The reason is that where admirable; it appears you are using isolated populations with limited data save the characteristics of and demographics of each episode. Labs help, meds help ect. But I sense you will be repeating auto-correlation models that can reach great degrees of significance but onlyy apply to a small subset. In the past many predictive variables have emerged that we never considered, dating back to work on the Pra and John Ware's SF models. \ My industry has now spent millions on DCG, ACGs, ETGs etc and we find that insurance organizations continue to rely on actuarys. Many of the models work well with sample sized of >20,000 they fall appart with the individual. Trust me I have run the best models on 1.2 million members. Now, if you will provide other info such as living status (alone etc) we might get you to where you want to be: Ready to assume the risk. I imagine saving 100 hospitalization epidodes is worth it? Blessings",0,None,7 ,Fri Nov 04 2011 20:28:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1006,/competitions/hhp,None
/skeptopotamus,Training vs Testing data,"So in Kaggle, there is training data and testing data. But selecting the best model out of many models, judging each model by how well it fits the testing data, is equivalent, at the meta-level, to using the testing data. Of course this is a problem in any situation where the testing data is used more than once, but it seems especially serious in this case since you test so many models. Why not have three data sets: training, testing (to find the best model), and meta-testing (to compare the best model with the previous best model, before the Kaggle competition). Wouldn't that allow for fairer claims about the prediction quality of the models that Kaggle chooses?",0,None,3 ,Sat Nov 05 2011 03:40:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1007,None,None
/ian221110,Will this competition create a usable model?,"I just found this web site (and this competition) today due to an article in my local paper :-). The first thing that strikes me about this competition is that is that is quite restricted in terms of data provided - specifically the number of members and claims provided to model from ie only 113,000 records in members.csv and only 2,668,990 records in claims.csv. (release 3) - and even worse it only covers a small range of years. I've got decades of professional experience building predictive models, mainly in the investment and insurance industries, and I can tell you right now that if HPN want to end up with a usable algorithm they need to (at least) significantly expand the supplied data. It may be the HPN doesn't have data for more members (I realise they are pretty small) but they really really really need to have data for a longer time period if they want a chance to get a better model than the infinite monkey theorem would provide – which is the main risk of modelling in a competitive environment… ie the more models that are submitted the more likely it is that a model with no actual predicative capacity will be the best fit for the out of sample period – and possibly the worst in the period after that. I’ve seen this again and again in the investment industry, which is why it is normally practise that you run your model live for a year ‘on paper’ out of sample as realistically as possible, then for another year with a small amount of money, then slowly scale up from there.. If I was being professionally paid for this job I’d want - 10 years+ of data for as many clients as possible - The actual years the data applied to, so I could cross link it with other factors - obviously using only factors known in real time (yet another newbie mistake!). And I don't know if they have kept the data set sizes really small so that people not normally handling data can have a go at it - but if that is the case they should provide these small ones as well as some decent sized ones as well.. Ian",1,None,7 ,Sat Nov 05 2011 13:22:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1008,/competitions/hhp,None
/uhejmadi,Optimized weights for ensemble models,"Could someone give me references for techniques to calculate optimum weights for ensemble models, please? Thanks. M",0,None,1 Comment,Sat Nov 05 2011 22:02:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1009,/competitions/hhp,244th
/byang1,"Questions about teams, team splits, and collaboration","Team split is not mentioned in contest rules or FAQ, but I assume: 1. A member can leave the team at any time, and he doesn't need approval from other team members or Kaggle to leave the team (although other team members may beat him up with machine-learning books for quitting). 2. When a team splits, the new teams carry on with the submission count of the old team. Correct ? ------------------------------------------------------- Now there're official meanings of 'member' and 'team' according to the contest rules, and there're common sense understanding of these words. For example, the 'one team per member' rule and the 'maximum 8 members per team' rule refer to the official meanings of member and team: a member is someone who registered, and a team consists of 2 or more registered members. So let's say there's a group of 20 people working as a team (common sense meaning), and only one of them is a registered member, then no contest rule is broken, correct ? What if 2 people out of the 20 registered as 2 separate teams ? Are they considered to be in violation of the '1 team per member' rule ? And how far can 2 official members/teams collaborate before they're considered to be really just one team ? Sharing ideas is encouraged, but if I give my source code or prediction files to another team, am I considered a member of that team ? Scenario: a 3-person team decides they need more submission slots to win, so one member split off into another team. His former team has full access to his source code and submission files, but he makes no claim to being a member of his old team. That is, he gives up his official position in a potential winning team for the benefit of the team. Is this kind of altruistic behavior allowed in this contest ? And what if 2 teams decide to share algorithms, source code, and submission data without merging, is this OK ?",0,None,1 Comment,Sun Nov 06 2011 00:39:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1010,/competitions/hhp,2nd
/subratac,"Question on the numerical coding of name, description and caption","Do the numbers on the name, description and caption each denote a specific word? For example, in the training dataset, we have 454 and 1659 as the two numbers for the name field. If, for example, the number 454 denotes ""green' and ""1659"" denotes ""grass,"" can I then assume that wherever I see the number 454 in any of the three fields, the field contains the word ""green?"" Similarly for the number 1659... Thanks",0,None,1 Comment,Sun Nov 06 2011 15:30:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1012,/competitions/PhotoQualityPrediction,None
/markwaddle,R function for binomial deviance,"I have not been able to find a binomial deviance function in R. Can someone post one or point me to one? Thanks, Mark",0,None,1 Comment,Sun Nov 06 2011 22:56:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1013,/competitions/PhotoQualityPrediction,116th
/markwaddle,Submission not showing in leaderboard,"My first submission is not showing on the leaderboard, although it shows a valid score on the submissions tab. I have never seen this before. Is this due to maintenance or some other sort of delay today (Sunday, 11/6 2:20PM PST)? Or is it a bug?",0,None,2 ,Sun Nov 06 2011 23:19:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1014,/competitions/PhotoQualityPrediction,116th
/itsnadeem85,"predicted values between [0,1]","Hello there, This is nadeem, a newbie in the field of data mining, so pardon me if my question sounds stupid. After going through the training and test tests and example entries document of this problem, i am not able to digest the concept of calculating prediction values between [0,1]. This is a classification problem, where i have to predict either 0 or 1 (yes or no), how is this classifcation problem converted into regression (predicting real values)???? Can someone please explain this thing to me ??? Problem is quite exciting but only this question mark is lingering in my mind.",0,None,6 ,Mon Nov 07 2011 01:35:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1015,/competitions/DontGetKicked,None
/jhoward,Judges' review of Market Makers paper,"Here is the [Link]:https://docs.google.com/document/pub?id=1NXSp1hhsxgp6rt5b46p42F5ZfE5--HjhIFkdycPmkxw of the Market Makers paper. The judges have reviewed both the paper and the comments on the forum, and have identified the issues in this paper as being those requiring attention. The judges felt that some of the requests made by competitors on the forum went beyond what would normally be expected from an academic paper. Therefore some issues raised on the forum are not included in the judges' review. If you made a request on the forum which does not appear in the judges' review, please do not ask for them to change their mind and add it - the review is finalised and additional issues will not be added. Market Makers now have 7 days to update their paper to answer these issues.",0,None,2 ,Tue Nov 08 2011 00:26:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1016,/competitions/hhp,None
/class21475,Training Data Issue,"Is anyone having trouble handling the training file? It seems that in both the .zip and .7z versions the extracted .CSV file is fine until line 116,730 (row_id 116,729) -- then that line breaks early and there is a gap of 212,781,182 or so empty lines -- then presumably it gets back on track. So there are 477,123 rows of data in 213,258,306 lines? I'm a bit new to this so perhaps I'm missing something in how the file is structured or the lines are terminated -- but before I go crazy I just wanted to see if anyone else is having the same phenomenon.",1,bronze,2 ,Tue Nov 08 2011 19:43:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1019,/competitions/AlgorithmicTradingChallenge,26th
/jce0121773,Will winning algorithm be used as rationale to boot patients?,"I'm brand new here and haven't seen all the posts so forgive me if I am probing into an area already covered. It seems like a truly good algorithm could be used to pre-emptively identify patients that may have future problems and try to help them before a problem becomes acute. Alternatively, a nasty scrooge type could use the information to identify potentially costly patients to boot from the health care program. I'm not saying this would be a problem for me, since I don't have much in the way of a conscience and there is very little chance that I will come up with anything worthwhile anyway. But for those that do have a conscience, has there been any pronouncement, legally binding or otherwise, to the effect that the resulting winning algorithm will not be used as an input in the decision to terminate a policy.",0,None,2 ,Wed Nov 09 2011 02:58:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1020,/competitions/hhp,690th
/chefele,Questions about the Data,"This seems like an interesting challenge! I have a some initial questions, mostly about the definitions of trade events & quote events & how they're interrelated: A trade at time t might result in a new best bid/ask price. In that case, are the bid/ask prices quoted at time t the prices that exist immediately before or immediately after the trade executes? If the best bid/ask did change as a result of a trade at event time t, would it always be reported as a quote event at event time t+1? This seems to be the case for the 'liquidity event' trade -- is this also true for all trades? Are there any other circumstances that would lead to a quote event? (e.g. best bid/ask canceled) In figure 1 on the ""Background"" page, it shows both a trade and a quote at t=0. Shouldn't these be seperate events at seperate event-times? Are all the bid/asks we're asked to predict guaranteed to be trade events only, or are there quote events, too? Timestamps are given in the data, but dates are not. Was all the data collected on the same day, or on different days?",0,None,1 Comment,Wed Nov 09 2011 04:45:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1021,/competitions/AlgorithmicTradingChallenge,4th
/ppcguru,Congratulations on $11million SeriesA funding. So... now that Hal Varian is on board - Will their be a GoogleAdwords algo competition? [Please],"@kaggle Congratulations on $11million SeriesA funding :) http://blog.kaggle.com/2011/11/03/venture-capital-jobs-and-a-new-competition/ So... now that Hal Varian & Gil Elbaz is on the board - Will their be a Google Adwords PPC algo competition? For both: * historic auctions revenue optimisation model & dataset and * the future-looking prediction that is used when a new Adcopy or DisplayURL is added, based on historic dataset. Thanks Phil (I`m new to kaggle, btw) [Link]:http://www.linkedin.com/in/philpearce P.S here is an excel version of the GoogleAdwords Algo I created: [Link]:https://bitly.com/qlvbeH [attached] P.S.S. The RichTextEditor you are using for this forum should not allow JavaScript events or PopUps to be inserted, as this could create a vunerability by loading an malicious external script or iframes (you might want to disable those tabs within the backoffice CMS) and run a scanner such as websitedefender.com through the forum to make sure the RTE php code is secure. Also consider hosting the forum of a different IP to the main website, to improve security even further. http://www.bing.com/search?q=ip%3A65.52.203.186 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1475/google_adwords_ppc_algo.xls",1,None,2 ,Wed Nov 09 2011 10:27:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1022,None,None
/del=45a7769885f2d2c0,Not able to download data files,"I just signed up this website and looking in to this competition now. I am not able to find any link to download data files right now. FYI: I have accepted rules. I only find Data Schema and Data Fields sections. No link to data files which other people are talking about in Training Data Issue and Questions about the Data topics. Looks like organizer taken the files down for a while as they were talking in previous thread. Would you please advise, if the files get back again. I thought it would get back at USA morning time. This is my first time here. May be that’s why I posted here being impatient looking for files. Anyway, this looks like a nice challenge. Thank you very much.",0,None,5 ,Wed Nov 09 2011 15:42:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1023,/competitions/AlgorithmicTradingChallenge,85th
/blindape,In albums with more than one photo,Are width and height an average of pics or the values of one random of the album?,0,None,2 ,Wed Nov 09 2011 19:44:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1024,/competitions/PhotoQualityPrediction,22nd
/leazar,Identifying when the liquidity shock occurs,"Since we are still waiting for the data :) Reading over the description of the data, does it contain information on when the liquidity shock occurs at time 'T'? The data does seem to contain the block trade that caused the shock, but not information on when it occured in the datastream for the security.",0,None,2 ,Thu Nov 10 2011 03:39:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1026,/competitions/AlgorithmicTradingChallenge,61st
/byang1,Let's guess leader's secret,"Hi everyone, PlanetThanet/Jason Tigg has a huge lead over everyone else since the early days of this contest. Let's brainstorm what his secret might be. He probably discovered something simple that everyone else missed, or some really good external data. I have tried SVM, random forest, KNN, & GBM. I can do more tuning but it will only get me relatively small improvements. Jason, feel free to chime in. :)",0,None,9 ,Thu Nov 10 2011 03:52:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1028,/competitions/PhotoQualityPrediction,1st
/tinkerer,Group v.s. Individuals ,"Hi, I'm new here and I have a question. I signed up as an individual. What if there is a group of n scientists sign up (yes, they are sharing one account) and compete with other individuals (like myself). Of course, this creates an advantage for them to win (yes, I'm talking about money prize). Does Kaggle allow group sign-ups? Just wondering so that I know how hard I should try to win. (Yes, of course, I will learn by solving many different problems) -Bon",0,None,3 ,Thu Nov 10 2011 07:24:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1029,None,None
/dirknbr,Why has the test data bid51-100 and ask51-100 populated?,Why has the test data bid51-100 and ask51-100 populated? Aren't we supposed to predict that?,1,bronze,7 ,Thu Nov 10 2011 15:13:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1030,/competitions/AlgorithmicTradingChallenge,41st
/shankark,Algorithmic Trading Challenge contest,"I don't see the Algorithmic Trading Challenge contest appearing any more on the list of running competitions. Has it been withdrawn temporarily, or for good?",1,bronze,6 ,Thu Nov 10 2011 21:10:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1031,None,None
/jeffmoser,Importing the data into a database,"Since this dataset is quite large, I wanted to offer the database schema I used in case it helps other. I tried to use the smallest data type possible per column to be more efficient. I used SQL Server 2008, but see other related threads in the [Link]:https://www.kaggle.com/c/wikichallenge/forums/t/668/importing-the-data-into-sql-server and [Link]:https://www.kaggle.com/c/ClaimPredictionChallenge/forums/t/711/importing-to-sql-server-and-aggregate-statistics competitions for tips on how to do similar things in other databases. Here are my tables (note the use of smallmoney and time(3)): CREATE TABLE [training]( [row_id] [int] NOT NULL, [security_id] [tinyint] NOT NULL, [p_tcount] [int] NOT NULL, [p_value] [bigint] NOT NULL, [trade_vwap] [smallmoney] NOT NULL, [trade_volume] [int] NOT NULL, [initiator] [char](1) NOT NULL, [transtype1] [char](1) NOT NULL, [time1] [time](3) NOT NULL, [bid1] [smallmoney] NOT NULL, [ask1] [smallmoney] NOT NULL, [transtype2] [char](1) NOT NULL, [time2] [time](3) NOT NULL, [bid2] [smallmoney] NOT NULL, [ask2] [smallmoney] NOT NULL, [transtype3] [char](1) NOT NULL, [time3] [time](3) NOT NULL, [bid3] [smallmoney] NOT NULL, [ask3] [smallmoney] NOT NULL, [transtype4] [char](1) NOT NULL, [time4] [time](3) NOT NULL, [bid4] [smallmoney] NOT NULL, [ask4] [smallmoney] NOT NULL, [transtype5] [char](1) NOT NULL, [time5] [time](3) NOT NULL, [bid5] [smallmoney] NOT NULL, [ask5] [smallmoney] NOT NULL, [transtype6] [char](1) NOT NULL, [time6] [time](3) NOT NULL, [bid6] [smallmoney] NOT NULL, [ask6] [smallmoney] NOT NULL, [transtype7] [char](1) NOT NULL, [time7] [time](3) NOT NULL, [bid7] [smallmoney] NOT NULL, [ask7] [smallmoney] NOT NULL, [transtype8] [char](1) NOT NULL, [time8] [time](3) NOT NULL, [bid8] [smallmoney] NOT NULL, [ask8] [smallmoney] NOT NULL, [transtype9] [char](1) NOT NULL, [time9] [time](3) NOT NULL, [bid9] [smallmoney] NOT NULL, [ask9] [smallmoney] NOT NULL, [transtype10] [char](1) NOT NULL, [time10] [time](3) NOT NULL, [bid10] [smallmoney] NOT NULL, [ask10] [smallmoney] NOT NULL, [transtype11] [char](1) NOT NULL, [time11] [time](3) NOT NULL, [bid11] [smallmoney] NOT NULL, [ask11] [smallmoney] NOT NULL, [transtype12] [char](1) NOT NULL, [time12] [time](3) NOT NULL, [bid12] [smallmoney] NOT NULL, [ask12] [smallmoney] NOT NULL, [transtype13] [char](1) NOT NULL, [time13] [time](3) NOT NULL, [bid13] [smallmoney] NOT NULL, [ask13] [smallmoney] NOT NULL, [transtype14] [char](1) NOT NULL, [time14] [time](3) NOT NULL, [bid14] [smallmoney] NOT NULL, [ask14] [smallmoney] NOT NULL, [transtype15] [char](1) NOT NULL, [time15] [time](3) NOT NULL, [bid15] [smallmoney] NOT NULL, [ask15] [smallmoney] NOT NULL, [transtype16] [char](1) NOT NULL, [time16] [time](3) NOT NULL, [bid16] [smallmoney] NOT NULL, [ask16] [smallmoney] NOT NULL, [transtype17] [char](1) NOT NULL, [time17] [time](3) NOT NULL, [bid17] [smallmoney] NOT NULL, [ask17] [smallmoney] NOT NULL, [transtype18] [char](1) NOT NULL, [time18] [time](3) NOT NULL, [bid18] [smallmoney] NOT NULL, [ask18] [smallmoney] NOT NULL, [transtype19] [char](1) NOT NULL, [time19] [time](3) NOT NULL, [bid19] [smallmoney] NOT NULL, [ask19] [smallmoney] NOT NULL, [transtype20] [char](1) NOT NULL, [time20] [time](3) NOT NULL, [bid20] [smallmoney] NOT NULL, [ask20] [smallmoney] NOT NULL, [transtype21] [char](1) NOT NULL, [time21] [time](3) NOT NULL, [bid21] [smallmoney] NOT NULL, [ask21] [smallmoney] NOT NULL, [transtype22] [char](1) NOT NULL, [time22] [time](3) NOT NULL, [bid22] [smallmoney] NOT NULL, [ask22] [smallmoney] NOT NULL, [transtype23] [char](1) NOT NULL, [time23] [time](3) NOT NULL, [bid23] [smallmoney] NOT NULL, [ask23] [smallmoney] NOT NULL, [transtype24] [char](1) NOT NULL, [time24] [time](3) NOT NULL, [bid24] [smallmoney] NOT NULL, [ask24] [smallmoney] NOT NULL, [transtype25] [char](1) NOT NULL, [time25] [time](3) NOT NULL, [bid25] [smallmoney] NOT NULL, [ask25] [smallmoney] NOT NULL, [transtype26] [char](1) NOT NULL, [time26] [time](3) NOT NULL, [bid26] [smallmoney] NOT NULL, [ask26] [smallmoney] NOT NULL, [transtype27] [char](1) NOT NULL, [time27] [time](3) NOT NULL, [bid27] [smallmoney] NOT NULL, [ask27] [smallmoney] NOT NULL, [transtype28] [char](1) NOT NULL, [time28] [time](3) NOT NULL, [bid28] [smallmoney] NOT NULL, [ask28] [smallmoney] NOT NULL, [transtype29] [char](1) NOT NULL, [time29] [time](3) NOT NULL, [bid29] [smallmoney] NOT NULL, [ask29] [smallmoney] NOT NULL, [transtype30] [char](1) NOT NULL, [time30] [time](3) NOT NULL, [bid30] [smallmoney] NOT NULL, [ask30] [smallmoney] NOT NULL, [transtype31] [char](1) NOT NULL, [time31] [time](3) NOT NULL, [bid31] [smallmoney] NOT NULL, [ask31] [smallmoney] NOT NULL, [transtype32] [char](1) NOT NULL, [time32] [time](3) NOT NULL, [bid32] [smallmoney] NOT NULL, [ask32] [smallmoney] NOT NULL, [transtype33] [char](1) NOT NULL, [time33] [time](3) NOT NULL, [bid33] [smallmoney] NOT NULL, [ask33] [smallmoney] NOT NULL, [transtype34] [char](1) NOT NULL, [time34] [time](3) NOT NULL, [bid34] [smallmoney] NOT NULL, [ask34] [smallmoney] NOT NULL, [transtype35] [char](1) NOT NULL, [time35] [time](3) NOT NULL, [bid35] [smallmoney] NOT NULL, [ask35] [smallmoney] NOT NULL, [transtype36] [char](1) NOT NULL, [time36] [time](3) NOT NULL, [bid36] [smallmoney] NOT NULL, [ask36] [smallmoney] NOT NULL, [transtype37] [char](1) NOT NULL, [time37] [time](3) NOT NULL, [bid37] [smallmoney] NOT NULL, [ask37] [smallmoney] NOT NULL, [transtype38] [char](1) NOT NULL, [time38] [time](3) NOT NULL, [bid38] [smallmoney] NOT NULL, [ask38] [smallmoney] NOT NULL, [transtype39] [char](1) NOT NULL, [time39] [time](3) NOT NULL, [bid39] [smallmoney] NOT NULL, [ask39] [smallmoney] NOT NULL, [transtype40] [char](1) NOT NULL, [time40] [time](3) NOT NULL, [bid40] [smallmoney] NOT NULL, [ask40] [smallmoney] NOT NULL, [transtype41] [char](1) NOT NULL, [time41] [time](3) NOT NULL, [bid41] [smallmoney] NOT NULL, [ask41] [smallmoney] NOT NULL, [transtype42] [char](1) NOT NULL, [time42] [time](3) NOT NULL, [bid42] [smallmoney] NOT NULL, [ask42] [smallmoney] NOT NULL, [transtype43] [char](1) NOT NULL, [time43] [time](3) NOT NULL, [bid43] [smallmoney] NOT NULL, [ask43] [smallmoney] NOT NULL, [transtype44] [char](1) NOT NULL, [time44] [time](3) NOT NULL, [bid44] [smallmoney] NOT NULL, [ask44] [smallmoney] NOT NULL, [transtype45] [char](1) NOT NULL, [time45] [time](3) NOT NULL, [bid45] [smallmoney] NOT NULL, [ask45] [smallmoney] NOT NULL, [transtype46] [char](1) NOT NULL, [time46] [time](3) NOT NULL, [bid46] [smallmoney] NOT NULL, [ask46] [smallmoney] NOT NULL, [transtype47] [char](1) NOT NULL, [time47] [time](3) NOT NULL, [bid47] [smallmoney] NOT NULL, [ask47] [smallmoney] NOT NULL, [transtype48] [char](1) NOT NULL, [time48] [time](3) NOT NULL, [bid48] [smallmoney] NOT NULL, [ask48] [smallmoney] NOT NULL, [transtype49] [char](1) NOT NULL, [time49] [time](3) NOT NULL, [bid49] [smallmoney] NOT NULL, [ask49] [smallmoney] NOT NULL, [transtype50] [char](1) NOT NULL, [time50] [time](3) NOT NULL, [bid50] [smallmoney] NOT NULL, [ask50] [smallmoney] NOT NULL, [bid51] [smallmoney] NOT NULL, [ask51] [smallmoney] NOT NULL, [bid52] [smallmoney] NOT NULL, [ask52] [smallmoney] NOT NULL, [bid53] [smallmoney] NOT NULL, [ask53] [smallmoney] NOT NULL, [bid54] [smallmoney] NOT NULL, [ask54] [smallmoney] NOT NULL, [bid55] [smallmoney] NOT NULL, [ask55] [smallmoney] NOT NULL, [bid56] [smallmoney] NOT NULL, [ask56] [smallmoney] NOT NULL, [bid57] [smallmoney] NOT NULL, [ask57] [smallmoney] NOT NULL, [bid58] [smallmoney] NOT NULL, [ask58] [smallmoney] NOT NULL, [bid59] [smallmoney] NOT NULL, [ask59] [smallmoney] NOT NULL, [bid60] [smallmoney] NOT NULL, [ask60] [smallmoney] NOT NULL, [bid61] [smallmoney] NOT NULL, [ask61] [smallmoney] NOT NULL, [bid62] [smallmoney] NOT NULL, [ask62] [smallmoney] NOT NULL, [bid63] [smallmoney] NOT NULL, [ask63] [smallmoney] NOT NULL, [bid64] [smallmoney] NOT NULL, [ask64] [smallmoney] NOT NULL, [bid65] [smallmoney] NOT NULL, [ask65] [smallmoney] NOT NULL, [bid66] [smallmoney] NOT NULL, [ask66] [smallmoney] NOT NULL, [bid67] [smallmoney] NOT NULL, [ask67] [smallmoney] NOT NULL, [bid68] [smallmoney] NOT NULL, [ask68] [smallmoney] NOT NULL, [bid69] [smallmoney] NOT NULL, [ask69] [smallmoney] NOT NULL, [bid70] [smallmoney] NOT NULL, [ask70] [smallmoney] NOT NULL, [bid71] [smallmoney] NOT NULL, [ask71] [smallmoney] NOT NULL, [bid72] [smallmoney] NOT NULL, [ask72] [smallmoney] NOT NULL, [bid73] [smallmoney] NOT NULL, [ask73] [smallmoney] NOT NULL, [bid74] [smallmoney] NOT NULL, [ask74] [smallmoney] NOT NULL, [bid75] [smallmoney] NOT NULL, [ask75] [smallmoney] NOT NULL, [bid76] [smallmoney] NOT NULL, [ask76] [smallmoney] NOT NULL, [bid77] [smallmoney] NOT NULL, [ask77] [smallmoney] NOT NULL, [bid78] [smallmoney] NOT NULL, [ask78] [smallmoney] NOT NULL, [bid79] [smallmoney] NOT NULL, [ask79] [smallmoney] NOT NULL, [bid80] [smallmoney] NOT NULL, [ask80] [smallmoney] NOT NULL, [bid81] [smallmoney] NOT NULL, [ask81] [smallmoney] NOT NULL, [bid82] [smallmoney] NOT NULL, [ask82] [smallmoney] NOT NULL, [bid83] [smallmoney] NOT NULL, [ask83] [smallmoney] NOT NULL, [bid84] [smallmoney] NOT NULL, [ask84] [smallmoney] NOT NULL, [bid85] [smallmoney] NOT NULL, [ask85] [smallmoney] NOT NULL, [bid86] [smallmoney] NOT NULL, [ask86] [smallmoney] NOT NULL, [bid87] [smallmoney] NOT NULL, [ask87] [smallmoney] NOT NULL, [bid88] [smallmoney] NOT NULL, [ask88] [smallmoney] NOT NULL, [bid89] [smallmoney] NOT NULL, [ask89] [smallmoney] NOT NULL, [bid90] [smallmoney] NOT NULL, [ask90] [smallmoney] NOT NULL, [bid91] [smallmoney] NOT NULL, [ask91] [smallmoney] NOT NULL, [bid92] [smallmoney] NOT NULL, [ask92] [smallmoney] NOT NULL, [bid93] [smallmoney] NOT NULL, [ask93] [smallmoney] NOT NULL, [bid94] [smallmoney] NOT NULL, [ask94] [smallmoney] NOT NULL, [bid95] [smallmoney] NOT NULL, [ask95] [smallmoney] NOT NULL, [bid96] [smallmoney] NOT NULL, [ask96] [smallmoney] NOT NULL, [bid97] [smallmoney] NOT NULL, [ask97] [smallmoney] NOT NULL, [bid98] [smallmoney] NOT NULL, [ask98] [smallmoney] NOT NULL, [bid99] [smallmoney] NOT NULL, [ask99] [smallmoney] NOT NULL, [bid100] [smallmoney] NOT NULL, [ask100] [smallmoney] NOT NULL ); CREATE TABLE [testing]( [row_id] [int] NOT NULL, [security_id] [tinyint] NOT NULL, [p_tcount] [int] NOT NULL, [p_value] [bigint] NOT NULL, [trade_vwap] [smallmoney] NOT NULL, [trade_volume] [int] NOT NULL, [initiator] [char](1) NOT NULL, [transtype1] [char](1) NOT NULL, [time1] [time](3) NOT NULL, [bid1] [smallmoney] NOT NULL, [ask1] [smallmoney] NOT NULL, [transtype2] [char](1) NOT NULL, [time2] [time](3) NOT NULL, [bid2] [smallmoney] NOT NULL, [ask2] [smallmoney] NOT NULL, [transtype3] [char](1) NOT NULL, [time3] [time](3) NOT NULL, [bid3] [smallmoney] NOT NULL, [ask3] [smallmoney] NOT NULL, [transtype4] [char](1) NOT NULL, [time4] [time](3) NOT NULL, [bid4] [smallmoney] NOT NULL, [ask4] [smallmoney] NOT NULL, [transtype5] [char](1) NOT NULL, [time5] [time](3) NOT NULL, [bid5] [smallmoney] NOT NULL, [ask5] [smallmoney] NOT NULL, [transtype6] [char](1) NOT NULL, [time6] [time](3) NOT NULL, [bid6] [smallmoney] NOT NULL, [ask6] [smallmoney] NOT NULL, [transtype7] [char](1) NOT NULL, [time7] [time](3) NOT NULL, [bid7] [smallmoney] NOT NULL, [ask7] [smallmoney] NOT NULL, [transtype8] [char](1) NOT NULL, [time8] [time](3) NOT NULL, [bid8] [smallmoney] NOT NULL, [ask8] [smallmoney] NOT NULL, [transtype9] [char](1) NOT NULL, [time9] [time](3) NOT NULL, [bid9] [smallmoney] NOT NULL, [ask9] [smallmoney] NOT NULL, [transtype10] [char](1) NOT NULL, [time10] [time](3) NOT NULL, [bid10] [smallmoney] NOT NULL, [ask10] [smallmoney] NOT NULL, [transtype11] [char](1) NOT NULL, [time11] [time](3) NOT NULL, [bid11] [smallmoney] NOT NULL, [ask11] [smallmoney] NOT NULL, [transtype12] [char](1) NOT NULL, [time12] [time](3) NOT NULL, [bid12] [smallmoney] NOT NULL, [ask12] [smallmoney] NOT NULL, [transtype13] [char](1) NOT NULL, [time13] [time](3) NOT NULL, [bid13] [smallmoney] NOT NULL, [ask13] [smallmoney] NOT NULL, [transtype14] [char](1) NOT NULL, [time14] [time](3) NOT NULL, [bid14] [smallmoney] NOT NULL, [ask14] [smallmoney] NOT NULL, [transtype15] [char](1) NOT NULL, [time15] [time](3) NOT NULL, [bid15] [smallmoney] NOT NULL, [ask15] [smallmoney] NOT NULL, [transtype16] [char](1) NOT NULL, [time16] [time](3) NOT NULL, [bid16] [smallmoney] NOT NULL, [ask16] [smallmoney] NOT NULL, [transtype17] [char](1) NOT NULL, [time17] [time](3) NOT NULL, [bid17] [smallmoney] NOT NULL, [ask17] [smallmoney] NOT NULL, [transtype18] [char](1) NOT NULL, [time18] [time](3) NOT NULL, [bid18] [smallmoney] NOT NULL, [ask18] [smallmoney] NOT NULL, [transtype19] [char](1) NOT NULL, [time19] [time](3) NOT NULL, [bid19] [smallmoney] NOT NULL, [ask19] [smallmoney] NOT NULL, [transtype20] [char](1) NOT NULL, [time20] [time](3) NOT NULL, [bid20] [smallmoney] NOT NULL, [ask20] [smallmoney] NOT NULL, [transtype21] [char](1) NOT NULL, [time21] [time](3) NOT NULL, [bid21] [smallmoney] NOT NULL, [ask21] [smallmoney] NOT NULL, [transtype22] [char](1) NOT NULL, [time22] [time](3) NOT NULL, [bid22] [smallmoney] NOT NULL, [ask22] [smallmoney] NOT NULL, [transtype23] [char](1) NOT NULL, [time23] [time](3) NOT NULL, [bid23] [smallmoney] NOT NULL, [ask23] [smallmoney] NOT NULL, [transtype24] [char](1) NOT NULL, [time24] [time](3) NOT NULL, [bid24] [smallmoney] NOT NULL, [ask24] [smallmoney] NOT NULL, [transtype25] [char](1) NOT NULL, [time25] [time](3) NOT NULL, [bid25] [smallmoney] NOT NULL, [ask25] [smallmoney] NOT NULL, [transtype26] [char](1) NOT NULL, [time26] [time](3) NOT NULL, [bid26] [smallmoney] NOT NULL, [ask26] [smallmoney] NOT NULL, [transtype27] [char](1) NOT NULL, [time27] [time](3) NOT NULL, [bid27] [smallmoney] NOT NULL, [ask27] [smallmoney] NOT NULL, [transtype28] [char](1) NOT NULL, [time28] [time](3) NOT NULL, [bid28] [smallmoney] NOT NULL, [ask28] [smallmoney] NOT NULL, [transtype29] [char](1) NOT NULL, [time29] [time](3) NOT NULL, [bid29] [smallmoney] NOT NULL, [ask29] [smallmoney] NOT NULL, [transtype30] [char](1) NOT NULL, [time30] [time](3) NOT NULL, [bid30] [smallmoney] NOT NULL, [ask30] [smallmoney] NOT NULL, [transtype31] [char](1) NOT NULL, [time31] [time](3) NOT NULL, [bid31] [smallmoney] NOT NULL, [ask31] [smallmoney] NOT NULL, [transtype32] [char](1) NOT NULL, [time32] [time](3) NOT NULL, [bid32] [smallmoney] NOT NULL, [ask32] [smallmoney] NOT NULL, [transtype33] [char](1) NOT NULL, [time33] [time](3) NOT NULL, [bid33] [smallmoney] NOT NULL, [ask33] [smallmoney] NOT NULL, [transtype34] [char](1) NOT NULL, [time34] [time](3) NOT NULL, [bid34] [smallmoney] NOT NULL, [ask34] [smallmoney] NOT NULL, [transtype35] [char](1) NOT NULL, [time35] [time](3) NOT NULL, [bid35] [smallmoney] NOT NULL, [ask35] [smallmoney] NOT NULL, [transtype36] [char](1) NOT NULL, [time36] [time](3) NOT NULL, [bid36] [smallmoney] NOT NULL, [ask36] [smallmoney] NOT NULL, [transtype37] [char](1) NOT NULL, [time37] [time](3) NOT NULL, [bid37] [smallmoney] NOT NULL, [ask37] [smallmoney] NOT NULL, [transtype38] [char](1) NOT NULL, [time38] [time](3) NOT NULL, [bid38] [smallmoney] NOT NULL, [ask38] [smallmoney] NOT NULL, [transtype39] [char](1) NOT NULL, [time39] [time](3) NOT NULL, [bid39] [smallmoney] NOT NULL, [ask39] [smallmoney] NOT NULL, [transtype40] [char](1) NOT NULL, [time40] [time](3) NOT NULL, [bid40] [smallmoney] NOT NULL, [ask40] [smallmoney] NOT NULL, [transtype41] [char](1) NOT NULL, [time41] [time](3) NOT NULL, [bid41] [smallmoney] NOT NULL, [ask41] [smallmoney] NOT NULL, [transtype42] [char](1) NOT NULL, [time42] [time](3) NOT NULL, [bid42] [smallmoney] NOT NULL, [ask42] [smallmoney] NOT NULL, [transtype43] [char](1) NOT NULL, [time43] [time](3) NOT NULL, [bid43] [smallmoney] NOT NULL, [ask43] [smallmoney] NOT NULL, [transtype44] [char](1) NOT NULL, [time44] [time](3) NOT NULL, [bid44] [smallmoney] NOT NULL, [ask44] [smallmoney] NOT NULL, [transtype45] [char](1) NOT NULL, [time45] [time](3) NOT NULL, [bid45] [smallmoney] NOT NULL, [ask45] [smallmoney] NOT NULL, [transtype46] [char](1) NOT NULL, [time46] [time](3) NOT NULL, [bid46] [smallmoney] NOT NULL, [ask46] [smallmoney] NOT NULL, [transtype47] [char](1) NOT NULL, [time47] [time](3) NOT NULL, [bid47] [smallmoney] NOT NULL, [ask47] [smallmoney] NOT NULL, [transtype48] [char](1) NOT NULL, [time48] [time](3) NOT NULL, [bid48] [smallmoney] NOT NULL, [ask48] [smallmoney] NOT NULL, [transtype49] [char](1) NOT NULL, [time49] [time](3) NOT NULL, [bid49] [smallmoney] NOT NULL, [ask49] [smallmoney] NOT NULL, [transtype50] [char](1) NOT NULL, [time50] [time](3) NOT NULL, [bid50] [smallmoney] NOT NULL, [ask50] [smallmoney] NOT NULL ); -- Optionally add primary keys ALTER TABLE training ADD CONSTRAINT PK_training PRIMARY KEY CLUSTERED (row_id); ALTER TABLE training ADD CONSTRAINT PK_training PRIMARY KEY CLUSTERED (row_id); Finally, here's a quick sanity check: SELECT COUNT(*) FROM training -- 754018 SELECT SUM(p_value) FROM training -- 3542062365303403 SELECT COUNT(*) FROM testing -- 50000 SELECT SUM(p_value) FROM testing -- 155032668754821 Feel free to post in this thread any other tips you have while working with the dataset using a database.",6,silver,1 Comment,Fri Nov 11 2011 19:34:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1032,/competitions/AlgorithmicTradingChallenge,None
/ssgr22599,DaysInHospital and Claims.LengthofStay,"The LenghthofStay in the Claims table does not agree with the DaysInHospital table. Example: MemberId=10800005. I have looked at the supression flag but that does not seem to be it... More broadly, if you look at members who 1) had between 1 and 6 days as per DaysInHospital_Y3 2) AND had NO supressed records then the sum(Claims.LengthofStay) agrees the DaysInHospital_Y3 field 3481 out of 6052 records. This does not inspire a lot of confidence in the data",0,None,2 ,Fri Nov 11 2011 20:12:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1033,/competitions/hhp,None
/atreides,How to send messages to other menbers,"Just wondeting, how do you contact other members here?",0,None,3 ,Fri Nov 11 2011 22:20:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1035,None,None
/chefele,404 Page Not Found ,"Is this ""Page Not Found"" page new? If so, I really like it! www.kaggle.com/K",2,bronze,1 Comment,Fri Nov 11 2011 23:16:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1036,None,None
/zzgorme,car auction expert available,"Hi, I have a friend who has been working at, running, and buying from car auctions for decades in Australia. He is happy to give any advice people want for this competition. Also he can provide auction lists and links for ones he goes to so people can suggest cars for him to buy and he might work out a deal so they get a percentage of profits. He also has contacts with large auctions that buy a lot of cars from card dealers and then resell in auctions to the public and dealer auctions, they might well pay good money for software that improves their business. Usually they have several million dollars worth of cars on hand so it is worth them paying a good price for soemthing that works. Often he might point out mistakes before the auction like some car models are prone to problems. A good rule of thumb is if you see a car model a lot on the road then that is a good one to buy in an auction, it will sell well, also check the sites online that show typical car problems. Another factor is that family cars are better sellers than car for single people like sports cars. Some car colors sell much better than others, I think green is the poorest seller and white the best. Think of a car yard like a supermarket where the shelf space has a value compared to the rent they pay for the store, the yard needs to move a car in a particular space often enough to pay the rent. So a popular car might sell faster but with competition they pay more for them. A sports car might sell more rarely but they make more profit, a young guy might not worry about defects in a fast car that would turn off a family car buyer so this affects the auction price. Young girls might buy certain models but their fathers might do the actual buying. The tradein price also affects all this, if a family car sale usually gets a good tradein then they might pay more at an auction because they usually get another good car to sell from it. Some car yards try to just buy from the public because auctions tend to have more problem cars, dealers get rid of the bad sellers and more problem prone models that way. Expect more hidden problems in auctions. Some cars in auctions are from insurance companies such as damaged from a theft. Some cars are on consignment in an auction from the public or a dealer, others are bought by the auction house. People will buy cars an an online auction like Ebay but usually only cheap ones without inspecting it. Often car yards selling the cheapest cars make the most money. There are also psychological factors in an auction, the first cars often go much cheaper because people arrive late or aren't confident in bidding, then when they realize they missed out they bid much better after 10 minutes or so. Towards the end more people have bought cars so there may be cheaper cars then, but people waiting until near the end might be afraid of missing out and start paying more. If the weather is bad, there is something else better to go to like a sports game, the time of day is inconvenient, something good on tv, etc then more or less people might go to the auction. Sometimes the better cars might be sold before the auction, people come for a look and make an offer to the salesmen there. Most cars can still have the odometer changed, even those with an electronic readout. A humid day might make the exhaust in the cars when they come past look more smokey so people think they are burning oil and don't bid. Sometimes the shapes of cars might change from manufacturing advances, at one point in the cars made in the 90s I think there was a sudden change in the shape of the panelling. At auctions they would refer to cars from this onwards as the new shape. Some cars have mechanical problems that occur more regularly and dealers might pay less for that car, for example gearbox problems. More modern cars have this much less because of robotic assembly and being designed on computer programs so this is less of a factor now. Any questions you can message me or post them in the forum and I can ask the dealer for you or put you directly in contact with him, he isn't that tech savvy though. He also wants to set up an online car auction using software with live video feeds at auctions so he might pay good money for some solutions involving that.",0,None,1 Comment,Sat Nov 12 2011 03:07:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1037,/competitions/DontGetKicked,None
/bseven,What is the 2 digit number after AUC on leaderboard?,"Also, is the AUC the percentage of correct predictions?",0,None,4 ,Sat Nov 12 2011 14:32:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1038,/competitions/GiveMeSomeCredit,None
/passtheroc,"ask50==ask51, bid50==bid51; and some timing questions","At least in the sample I'm working with now, ask50==ask51 and bid50==bid51. What happens, if anything, between 50 and 51? Also, some timing questions: frequently, the time value doesn't change from event to event pre-shock. E.g. time36==time37==time38. What is happening here? Given the uneven real-time-deltas (time_i - time_i-1) pre-shock, how should we think about the timing post-shock? Are the response measurements equally spaced in time, even if the pre-shock measurements aren't? It looks like in some cases, the market does not fully recover within the 50 response time ticks. Is the phenomenon you are interested in the market resiliency within a short time window?",1,bronze,3 ,Sun Nov 13 2011 04:49:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1039,/competitions/AlgorithmicTradingChallenge,None
/dirknbr,RMSE,Is the RMSE calculated as sqrt(mean((y-p)^2)) where y is actual and p is prediction or sqrt(mean(mean((y-p)^2))) where we take mean of a row first?,0,None,8 ,Sun Nov 13 2011 10:40:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1040,/competitions/AlgorithmicTradingChallenge,41st
/salimali,Identical Events,"what does it mean when everything in t1,t2,t3 etc are identical, including the time stamp (eg row id 5666)? Are these 50 different events that just all happened at the same time?",0,None,2 ,Sun Nov 13 2011 13:32:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1041,/competitions/AlgorithmicTradingChallenge,None
/blindape,Best CPU for performance,"Since I'm using heavy algorithms and cross-validation option feel I need to upgrade my old processor. In R FAQ I found this: 2.23 Why does R never use more than 50% of my CPU? This is a misreading of Windows' confusing Task Manager. R's computation is single-threaded, and so it cannot use more than one CPU. What the task manager shows is not the usage in CPUs but the usage as a percentage of the apparent total number of CPUs. We say `apparent' as it treats so-called `hyper-threaded' CPUs such as many Pentium 4s as two CPUs even though there is only one physical CPU. Hyper-threading has been re-introduced for Intel i3/i5/i7 CPUs and some Xeons: these will usually be reported as 4 or more CPUs and so R will be shown as using 25% or less. You can see how many `CPU's are assumed by looking at the number of graphs of `CPU Usage History' on the `Performance' tab of the Windows Task manager. Probably a less cores CPU with higher frecuency will be better for processing than a 4-8 multicore. What is in your oppinion the best strategy to update a CPU?",0,None,3 ,Sun Nov 13 2011 13:33:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1042,/competitions/PhotoQualityPrediction,22nd
/alecstephenson,Benchmark Scores,Can you please recheck the benchmark scores on the leaderboard - the linear benchmark gives 0.95498 for example (which is why competitors have been on that exact value). Thanks.,0,None,1 Comment,Mon Nov 14 2011 08:42:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1043,/competitions/AlgorithmicTradingChallenge,11th
/caius22441,Maltab or C code for Gini,"Hi, Does anyone have Matlab or C code which they can share to calculate the evaluation criteria (Gini coeffiecnt) ? Thanks, Caius",0,None,19 ,Tue Nov 15 2011 02:09:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1044,/competitions/DontGetKicked,282nd
/alecstephenson,Global Maximum Members Per Team?,"I'd like to start a discussion among kagglers on whether in future there should be a maximum members per team rule across all comps. The HHP has 8 as a maximum. I was thinking of this because a team has just made a first submission in the Trading Challenge with 10 members. As kaggle is expanding, it won't be too long before we could be seeing teams with 50-100 people in them. Is this a good thing or not, for competitors and competition hosts? On the one hand it may mean more competitors and more collaboration, but on the other it may put off individuals from attempting to compete with large groups. What do you think?",1,None,2 ,Tue Nov 15 2011 06:25:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1046,None,None
/temp19337,Anyone interested in trying to combine results?,We rank 19th on the leader board. we are looking for a group that ranks < 50-60th (or result > 0.8605) and is welling to try to combine results. Anyone? (please leave your email if interested),1,None,1 Comment,Wed Nov 16 2011 20:33:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1047,/competitions/GiveMeSomeCredit,6th
/maxpowers,Capped Variances for Training Set? ,What sorts of capped variances are you guys getting for the training data compared to the test data?,0,None,14 ,Fri Nov 18 2011 04:01:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1048,/competitions/PhotoQualityPrediction,189th
/caius22441,question about missing entries in data,"Apologies in advance if this question has already been asked before. I am a little confused about the missing entries in the data- What is the difference between a entry which shows the word ""NULL"" and one which is just left blank (empty cell)? Are both of these to be treated as a ""missing entry"" ? Some of the features (columns) have both ""NULL"" and blank cells. What is the definition of a ""missing entry"" ? Thanks, Caius",0,None,4 ,Fri Nov 18 2011 20:48:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1053,/competitions/DontGetKicked,282nd
/bigcat0,Data Science Words of Wisdom?,"Howdy. Noob here, trying to get in on the data science/hacking scene. I'm fairly well versed in the theory behind a lot of machine learning techniques, but, one thing I've learned by doing my 1st competition (and playing with other problems) is that the cutest math/models hardly ever get you the good results in the real world. Anywho, I was looking for random bits and pieces of advice from the veterans in here. How do you strike a balance between 'thinking' (of sophisticated models that might get you no where) and 'doing' (very simple things that get you a good result quickly)? To give you an example, for the Photo Prediction Challenge, I came up with what I thought was a very slick location-based spam filtering type model. Guess what? it was an epic fail on the actual data, haha: the model did worse than the constant benchmark for that competition...I'd like to believe that, as a sport, Data Science is more about just 'trying things'. Perhaps I'm being naive? At any rate, I'm eager to hear your thoughts on this, admittedly philosophical, post. Thanks in advance.",0,None,3 ,Sat Nov 19 2011 00:09:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1055,None,None
/thomaslotze,"Some more background on IRT, LMER, and the starting benchmark","The benchmark we provided was generated using R; the source code is available as benchmark_lmer.r in the data section. It uses a pretty standard application of [Link]:http://en.wikipedia.org/wiki/Item_response_theory, creating a separate model for each track, where each student has an ability and each question has a difficulty. Then the probability of the user getting a question correct is simply logit(ability - difficulty). These abilities and difficulties are estimated using the lmer function from the lme4 package, but you could also use other ways to try to find parameters. IRT is the basis of most student assessment today, especially as many tests move to being computer-based (allowing for adaptively selecting questions with appropriate difficulty in response to the students' previous answers). Figuring out a better set of features to use can definitely result in a competitive method, and using something more than a single parameter per question (either having multiple ability estimates, or adding a guessing or discrimination parameter) can also give you a better fit. But I definitely don't think that IRT is the only (or necessarily the best) way to approach the problem! There are a host of other methods I think are worth exploring. To name a few: * Clustering the questions into more meaningful and useful groups based on students' responses (rather than just using the manually-entered tags) would be useful just on its own, and could also be a part of improving other methods (such as IRT itself). * Specifically, looking at students' recent question history and/or using recommender systems (as [Link]:http://cacm.acm.org/blogs/blog-cacm/101489-massive-scale-data-mining-for-education/fulltext last year) to find similar questions and similar users might work very well. * Finding questions or users who don't seem to be acting in the same way as others in the cluster (like users who aren't taking the questions seriously or questions which aren't strongly related to the subject) and removing these outliers from the training data. * Coming up with a model for proficiency, either following in [Link]:http://david-hu.com/2011/11/02/how-khan-academy-is-using-machine-learning-to-assess-student-mastery.html or considering something like [Link]:http://www.springerlink.com/content/m50h664760426738/. Again, I'm extremely excited about the possibilities here. Good luck to all!",2,bronze,5 ,Sat Nov 19 2011 01:02:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1057,/competitions/WhatDoYouKnow,None
/jhoward,Updated progress prize winners' papers available,"The progress prize winners have now updated their papers to respond to the [Link]:http://www.heritagehealthprize.com/pages/team' comments. The papers are [Link]:http://www.heritagehealthprize.com/c/hhp/Leaderboard/milestone1. Many thanks to the prize winners for their hard work, to the judges for their thoughtful reviews, and to all competitors who assisted in reviewing the papers. We have already seen the top 50 placeholders in the competition improve dramatically since the release of the original papers - it's great to see how the progress prize winners ideas are being utilised by other Kagglers.",0,None,10 ,Sat Nov 19 2011 01:57:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1058,/competitions/hhp,None
/miranlevar,Nova testna množica,"Mislim, da nekaj ni vredu z novo testno množico, vrača namreč bistveno slabše (razlika 0.4+ rmse) rezultate kot jih vrne prečno preverjanje. Najboljše metode se posledično obnesejo enako ali še slabše kot random oddaja ali oddane same enke.",0,None,2 ,Sat Nov 19 2011 23:01:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1060,/competitions/CitizensProposals,30th
/stevenmarkford,Submissions Explained,"I am wanting to predict a set of data for submission but I don't know where that set is which I am required to predict. Where can I find the set of data that is required to predict? Many thanks, Steven Mark Ford",0,None,11 ,Sat Nov 19 2011 23:55:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1061,/competitions/WhatDoYouKnow,153rd
/jacobj,A better benchmark,"If you can't get an RMSE equal to 0.85067, or lower, here's a tip: simply repeat the bid50 and ask50 for each row, for your whole entry. No change at all. You will achieve this RMSE. This should suggest quite a bit as to how to go about the rest of the competition too.",0,None,3 ,Sun Nov 20 2011 06:53:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1063,/competitions/AlgorithmicTradingChallenge,39th
/ahassaine,Users ranking method?,"Hi all, I don't know if this has been mentionned somewhere else, but I have seen in the recent talk of Jeremy that you have now an algorithm for ranking kagglers. [Link]:http://www.kaggle.com/users I was wondering what method is used for that purpose. Thanks, Ali",4,bronze,138 ,Sun Nov 20 2011 07:08:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1064,None,None
/jzach10891,Explanation of Game Types,"I was wondering if it was possible to get more information on what the different game types are, and how they are played. For instance, how does a competition game work? Does everybody get a chance to submit their answer, or do other people get locked out once the correct answer is submitted? And then everybody who hasn't answered gets a ""timeout"" or ""skipped."" Thanks, Zach",0,None,2 ,Sun Nov 20 2011 20:44:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1065,/competitions/WhatDoYouKnow,None
/thrasibule,RMSE clarification,"You say RMSEs are computed for bid and ask separately but you don't explain how you combine them afterwards. And then you say: ""The winning model will be the one with the lowest cumulative RMSE across the entire prediction set."" Cumulative means there is a sum going on, but that's clearly not what you're computing, so I assume you mean ""the lowest average RMSE across the prediction set"". So can we just get a formula of how you compute it? To make things precise, let B be the matrix of actual bids and Bpred matrix of predicted bids, we define A and Apred similarly. We have N observations so all matrices are dimensions N by 50. The evaluation mentions the RMSE will be computed separately for the bid and ask, so I assume that for observation i, RMSE_i=0.5\sqrt{1/50*(\sum_{j=1}^50 (B_{i,j}-Bpred_{i,j})^2)}+0.5\sqrt{1/50*(\sum_{j=1}^50 (A_{i,j}-Apred_{i,j})^2)} (in latex notation). Then do we take the average over the all observations with RMSE=1/N\sum_{i=1}^N RMSE_i? Or is it that the RMSE is computed at each time slice for bid and asks separately, with something like: RMSE_j=0.5\sqrt{1/N*(\sum_{i=1}^N (B_{i,j}-Bpred_{i,j})^2)}+0.5\sqrt{1/N*(\sum_{i=1}^N (A_{i,j}-Apred_{i,j})^2)} and RMSE=1/50\sum_{j=1}^50 RMSE_j They won't be the same due to convexity of the square root.",0,None,18 ,Sun Nov 20 2011 20:56:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1066,/competitions/AlgorithmicTradingChallenge,10th
/clueless0,Congratulations!,"Just wanted to say congratulations to all the winners... And especially Bo for the surprise down-to-the wire ending, 0.00003! I look forward to seeing you all in future competitions, and one of these days I'll have enough time to give you folks a run for your money :)",6,bronze,16 ,Mon Nov 21 2011 04:17:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1068,/competitions/PhotoQualityPrediction,47th
/tr00don,Interesting...,"There is a clearly defined data category, representing approximately 8.6% of the training set, where the probability of a car to be a ""bad buy"" is 4%-5% rather than the average 12.3%, i.e., it is approximately 3x lower. Based on the information provided, it should be possible in theory to determine whether a new car falls into this special category prior to making the transaction. Attached are test data entries that fall into the special category mentioned above. I wonder if the kaggle team would care to confirm that only 4%-5% of these test entries are ""bad buys"". The method I used can help determine (a) whether or not a new car falls into the special category; and (b) that the probability of a ""bad buy"" in this category is 3x lower than that for the complete training data set. Should the sponsor be also interested in this approach please let me know. Cheers! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1528/test-special-category-RefID.txt",0,None,3 ,Mon Nov 21 2011 06:47:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1069,/competitions/DontGetKicked,271st
/stellar,defn of liquidity shock,"Hi Admin in an earlier post you defined a liquidity shock as - ""we define a liquidity shock to be a trade that results in a new inside bid/ask spread where the trade and quote message timestamps are identical."" Is this a necessary and sufficient condition for you to classify a state as a liquidity shock? Do you also classify this condition as a shock - If the bid/ask spread remains constant, but the bid price and ask price change, and the T and Q timestamps are identical. thx",0,None,3 ,Mon Nov 21 2011 07:12:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1070,/competitions/AlgorithmicTradingChallenge,None
/arthurb,deactivated_at > round_started_at,There are a small number of entries (357 in the training set) where the round_started_at datetime comes after the deactived_at timestamp. Is this a glitch in the data or does it genuinely indicates something particular?,0,None,1 Comment,Mon Nov 21 2011 14:22:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1072,/competitions/WhatDoYouKnow,37th
/matthewroos,What's the winning method?,"Maybe I'm just too impatient, but shouldn't we have heard from Matt C about the winning method by now?",0,None,2 ,Mon Nov 21 2011 15:27:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1073,/competitions/ClaimPredictionChallenge,30th
/gabiteodoru,Question about quote events and prediction timestamps,"The Challenge Background states that ""A quote event occurs whenever the best bid or the ask price is updated"", and the figure indicates that a quote event appears at a change in bid or ask price. However, looking at the training data provided, first row, the first few events I see are (event type, timestamp, bid, ask): 'Q' '08:00:20.799' '2225' '2314.5' 'Q' '08:00:20.799' '2225' '2314.5' 'Q' '08:00:20.799' '2225' '2314.5' 'Q' '08:00:20.799' '2225' '2314.5' 'Q' '08:00:20.799' '2225' '2314.5' 'Q' '08:00:20.799' '2225' '2373.5' 'Q' '08:00:20.801' '2393' '2394' So there are a good number of quote events with identical time, bid and ask price. What does that mean? Why is it an event? Furthermore, from what I understand, for the prediction task the timestamps aren't given, and from what I see in the training data, I can very well expect that all bid,ask prices at t=51-100 might very well be identical, as they are sampled at identical times. Or they could be sampled hours apart. Am I missing something? The lack of a prediction timestamp appears to me to render the problem useless. Thanks!",1,bronze,2 ,Mon Nov 21 2011 19:37:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1075,/competitions/AlgorithmicTradingChallenge,84th
/nlubchenco,Choosing an Evaluation Metric? (resource suggestions?),"I've noticed that Kaggle competitions have used a number of different evaluation metrics (AUC, Binomial Deviance, Gini etc.) and was wondering if anyone could direct me to a good source for choosing an evaluation metric. Many of the contests have been attempting to predict whether an observation was in or out of a certain group, but I'm currently working on project that is attempting to predict an the efficacy of malarial drugs (so rather than being binary, the key variable is a percentage). Any suggestions about evaluation metrics in general or my project specifically would be appreciated. Thanks.",0,None,4 ,Mon Nov 21 2011 22:51:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1077,None,None
/huuh24285,philosophy behind kaggle,"isn't the prize money is too low ?? a company gets to indirectly employ hundreds of top minds for months, for a mere $10K ??? Instead, if they had to hire even 1 data scientist, it would cost them $50k/year. It took me 6 years (BS + MS) and 1000s of $ to become qualified for a statistics / machine learning data analyst position, and then what happens? Some super-brilliant folks who already have nice salaries decide to moonlight, band together @ Kaggle, and in the words of Southpark 'They took our jobsss'. Professors / Students should stay that way - either teach or learn. But instead, once they start applying their immense knowledge for commercial purposes, a single tenured professor can put the livelihood of 10 regular BS/MS employees in trouble / Unemployment Insurance. To the gifted folks here : You are extremely intelligent - the top 1% of the world in brains. If you abuse it for money, you may become the other top 1% whom none likes these days (i.e. #Occupy Kaggle) Protect your academic integrity and independence, by not selling the final model. Atleast, not for such extremely low prices - that is just #@!$. Cos next thing you know, we might have bidding wars - they guy who came in 4th / 5th willing to sell his model for a fraction of the original prize money. And boom, enter 'cut-throat society'! You may have brains and savings to survive, but think of the lesser souls. And don't forget, you weren't always this brilliant. And don't forget newton's 3rd law (aka karma). P.S : I like that Kaggle is bringing together geniuses for solving medical problems, dark matter etc. Although who really cares about dark matter? I can't even see it :) .. just kidding",0,None,9 ,Tue Nov 22 2011 17:32:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1079,None,None
/bhm20038,Subtrack,What is the significance of the subtrack? How does it relate to the track or tracks? Thanks.,0,None,2 ,Tue Nov 22 2011 19:00:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1080,/competitions/WhatDoYouKnow,47th
/robertlachlan,Purpose of valid_test and valid_training files?,I couldn't find the answer to this question on the data page or in the forums: what is the purpose of the valid_training.csv and valid_test.csv files?,0,None,16 ,Tue Nov 22 2011 23:33:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1083,/competitions/WhatDoYouKnow,None
/kilotrader,Understanding the datasets,"The training data has some column headers that are making me scratch my head p_tcount p_value trade_vwap (maybe the volume weighted av price) initiator (S - Sell?, B- Buy?",0,None,1 Comment,Wed Nov 23 2011 01:58:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1084,/competitions/AlgorithmicTradingChallenge,None
/stevejackson,30% - 70% split,Is the test data split as 30% - 70% for public testing and private testing in the way that total random split? I.e. each of the 50000 records have 30% probability in the public testing set and 70% probabiliy in the private testing set?,0,None,3 ,Wed Nov 23 2011 04:33:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1085,/competitions/AlgorithmicTradingChallenge,54th
/gfm23355,MMRCurrent* Variables,"I am a new Kaggle member, so please forgive me if this has already been discussed and I just missed it. I noticed that all of the MMRCurrent* variables are defined as acquisition price for the vehicle as of current day. Is Carvana sure they want these variables available to us for modeling purposes? None of that information would be available in a production environment, since that is data gathered after the target event (purchase). If a model were to be put into production, these variables would not be available and any model that is proposed to Carvana that uses one of these variables would not be much help, especially if the variable is a significant contributor to the overall model. Hopefully that makes sense, I can explain further if needed.",0,None,1 Comment,Wed Nov 23 2011 06:12:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1087,/competitions/DontGetKicked,402nd
/dirknbr,Individuals with many questions,"Here are some users with more than 5000 questions answered, how likely is that? group_ Obs user_id name taken _TYPE_ _FREQ_ correct 35346 23819 2 1 7 5357 0.66474 46422 31228 2 1 7 6796 0.72822 65210 43889 2 1 7 6271 0.77452127928 86139 2 1 7 5490 0.85847140900 94877 1 1 7 5862 0.73490142611 96046 1 1 7 5547 0.76654177187 119351 1 1 7 5647 0.81264183699 123742 2 1 7 5360 0.82500198189 133472 2 1 7 8184 0.95308207268 139564 2 1 7 7051 0.26422252453 169858 2 1 7 5311 0.53191",1,bronze,2 ,Thu Nov 24 2011 12:19:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1090,/competitions/WhatDoYouKnow,49th
/andrewprayle,What methods have you been using to optimise a model with just the training set?,"Dear all, I've got stumped at about the 0.86 mark. I've been optimising models using the ROC area under the curve on just the training set, and I think I have found that I've hit an ""overfitting"" type issue, where my models improve to an AUC of about 0.94, but when I submit these models they do considerebly worse than my current best one (which is a randomForest). So - what techniques have you been using to assess models prior to picking a ""best"" one for submission? Andrew",0,None,4 ,Thu Nov 24 2011 19:55:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1091,/competitions/GiveMeSomeCredit,222nd
/riadhdridi,"Question about languages, methodes and algorithms","Hi, I'm new to this site. Can someone tell me please if we must set our own algorithms and implemanting them in any langage, or if we have the possibility to use those already implemented in existant softwares and packages (R, SAS, Matlab...). Thank you for help, i don't speak english very well.",0,None,2 ,Thu Nov 24 2011 23:16:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1092,None,None
/vsumpter,Chief Algorithms Officer needed in Chicago,"What venues would be the best place to meet candidates for a Chief Algorithms Officer role in Chicago? Accretive Health is looking for creatively brilliant professionals to leverage computational science, statistics and operational research disciplines in the pursuit of vastly better health outcomes. We have an extremely large multi-dimensional dataset and are looking for excellent researchers who have a burning desire to apply their capabilities in the pursuit of tangible results. Thanks in advance for your time and perspective!",0,None,2 ,Fri Nov 25 2011 16:25:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1093,/competitions/hhp,None
/hshshs0,Building the model,"I have a question regarding building the model. I'm thinking of using OneR algorithm and I'm wondering if that would work fine on this data set. Also what kind of algorithms people have been using to build a model for this data set? Thanks,",0,None,1 Comment,Fri Nov 25 2011 23:00:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1094,/competitions/GiveMeSomeCredit,None
/qqlara,Can I use this competition for a term paper?,I'm taking a data analytics class this semester for which there is a term paper. I would like to use the problem presented in this competition as the subject of the paper. Is that okay? I would definitely submit my final model to kaggle.,0,None,1 Comment,Sat Nov 26 2011 02:29:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1095,/competitions/WhatDoYouKnow,None
/benhamner,Data Analysis Tools and Methods,"In light of this [Link]:http://blog.kaggle.com/2011/11/27/kagglers-favorite-tools, I wanted to kick off a discussion on the tools and methods people use to tackle predictive analytics problems. My toolset has primarily consisted of Python and Matlab. I use Python mainly to preprocess the data and convert it to a format that is straightforward to use with Matlab. In Matlab, I explore and visualize the data, and the develop, run, and test the predicive analytics algorithms. My first approach is to develop a quick benchmark on the dataset (for example, if it's a standard multiclass classification problem, throwing all the features into a Random Forest), and score that benchmark using the training set. To score the benchmark, I use out-of-bag predictions, k-fold cross-validation, or internal training / validation splits as appropriate. At that point, I iterate rapidly on the benchmark by engineering features that may be useful for the problem domain, and evaluating/optimizing various supervised machine learning algorithms on the dataset. For some problems, I've also touched a variety of other tools, including Excel, R, PostgreSQL, C, Weka, sofia-ml, scipy, and theano. Additionally I use the command-line / Matlab interfaces to packages such as SVM-Light and LIBSVM heavily. My main grievance is that I've not found a good tool for interactive data visualization, which would make it easier to develop insights on the data that would help increase predictive performance. What are your favorite tools and how do you use them? What is difficult or missing in them, that would make generating predictive models easier?",0,None,11 ,Sun Nov 27 2011 18:36:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1099,None,None
/makis23760,Multiple liquidity shocks per line of training / test sets?,If there are multiple liquidity shocks per line of the sets given (defined as a Quote following a Trade event with the same timestamp and increased spread) should we ignore any of those shocks preceding the t49-t50 event in the prediction of the bid ask values from t51 onwards? Thanks,0,None,1 Comment,Sun Nov 27 2011 20:18:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1100,/competitions/AlgorithmicTradingChallenge,98th
/smcinerney,Who's using R? Python? SASS? STATA? SQL? and what else?,"I'm trying to decide which choice of language is most suited to use on this: At first glance R strikes me as best. But it would be neat to apply Python timeseries. One of my partners is learning timeseries in Python, and the other is experienced in R. What are people using? PS: R's easy-to-use graphing to visualize arbitrary slices of data doesn't really exist in other languages. How are you handling that? Thanks in advance, Stephen",0,None,17 ,Mon Nov 28 2011 05:03:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1101,/competitions/AlgorithmicTradingChallenge,None
/colingreen,Random Forests Newbie Question,Given the success of Random Forests I thought I should look into them some more. The first question that came to mind is how is the number of nodes in a each decision tree is decided. Is it typicaly to just try a range of values and just choose what works? So each forest is made up of trees with the same number of nodes each? Thanks.,0,None,10 ,Tue Nov 29 2011 01:12:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1106,None,None
/tomtech,What are our predictions measured against.,"Both of the public contests due in the next few week (""Don't get Kicked"") are asking for probabilities even though the training sets use binary true or false as the test data field. Are our submissions being compared to the prediction algorism they currently use or is it being compared to a known set of deliquencies (bad deals)? If our submissions are being compared to an existing algorithm it seems that the purpose of the assignment is to get closest to an existing algorithm. If our submissions are being compared to known deliquencies (or bad deals) then the winning methods would have a meaningful use. I submitted my predictions for the ""don't get kicked"" contest and got a terrible placement while my raw probabilies for the same set made it to # 40 on the leaderboard. I placed this here since this contest seems to have the same issue based on the example entry and it's due date is sooner which makes this info more immediatly relative.",0,None,2 ,Tue Nov 29 2011 17:05:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1107,/competitions/GiveMeSomeCredit,427th
/cbusch,Model Accuracy,Could anyone quantify the difference in the predictive accuracy between a model with RMSLE of .454 and .485?,1,None,3 ,Tue Nov 29 2011 18:37:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1108,/competitions/hhp,266th
/xavierconort,NAs Imputation and test set,"I am not sure to have seen any rules concerning NAs (missing values) imputations in Kaggle's competitions. Can we train our algorithm on the combination of the training and test sets? or only the training set can be used? Thanks, Xavier",2,bronze,1 Comment,Wed Nov 30 2011 12:08:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1109,/competitions/GiveMeSomeCredit,2nd
/stillsut,"Clustering VendorID's into ""Facilities""","The purpose of this thread is a central location for anyone that wants to ""crowd-source"" a specific problem I've noticed with the claims table we are given: Vendor appears to refer a particular dept. within a hospital instead of a total hospital. To understand the individual facilities (what we will call the total of dept's within a physical location aka ""hospital""), we will need to construct a clustering of VendorID's. So say VendorID's #2, #8, #12, and #17 are all found to have made claims to the same patient at the same time. Then we will cluster them, and our model can now have column ""FacilityID"", say = #2 for all the above VendorsID's above. I think the number of distinct ""inpatient hospitals"" facilities should be pretty low for HPN (compared to total distinct VendorID's). Probably around 5-30? This is a pretty tangential question to pursue for one team, as it does not come close to answering the target variable. However, from what I've seen in discussion, having usable inpatient hospital identifiers would be useful for all, and maybe get us all a little closer to .40000. This is why I am trying to open up the investigation.",0,None,10 ,Wed Nov 30 2011 19:38:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1110,/competitions/hhp,None
/pidtis,Milestone Entries and Reviews,Are milestone entry winners required to provide an academic paper like the HHP?,0,None,42 ,Wed Nov 30 2011 20:49:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1111,/competitions/AlgorithmicTradingChallenge,21st
/peter20,Multiple choice with multiple correct answers?,"The training set contains the following lines: 1,1,121052,2526,0,0,3,12,34 50 152 162 212 243,2011-11-10 18:37:50,2011-11-10 18:38:15,2011-11-10 18:38:17,14094,7,2,NULL,391 1,1,7120,2526,0,0,3,12,34 50 152 162 212 243,2011-02-17 18:18:39,2011-02-17 18:19:09,2011-02-17 18:19:20,14094,7,1,NULL,391 1,1,155663,2526,0,0,3,12,34 50 152 162 212 243,2009-11-22 23:25:18,2009-11-22 23:25:26,2009-11-22 23:25:26,14095,7,1,NULL,391 That is, question 2526 is marked as correct for answerid 14094 and 14095. The question type is 0, 'MultipleChoiceOneCorrect'. Why are two different answers both being marked as correct? Thank you.",1,bronze,2 ,Wed Nov 30 2011 23:30:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1112,/competitions/WhatDoYouKnow,None
/brian4,Why are user times to answer questions included in the test set?,"It seems that since the goal is to predict what type of questions a user will have difficulty with (before the user actually encounters the given question), it doesn't make sense to include features related to how long a user took on a question in the test set. This requires the user to actually encounter and answer the question, in which case there is no need for prediction since you already have the user's answer and the correct answer (as the one giving the test). This information could be used to improve predictions since an obvious strategy, e.g. for single user test, is to decrease the probability of success for questions the user takes longer to answer, or at least incorporate this in the predictive model in some way. Since such features seem to be potentially useful, but realistically would not be available for predicting a user's success for unseen questions, I would guess they could lead to misleading results for the competition as the best models may rely on these features. In particular I am referring to ""round_started_at,answered_at,deactivated_at"" which show up in the test set. Am I missing something here?",1,bronze,16 ,Thu Dec 01 2011 01:24:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1113,/competitions/WhatDoYouKnow,None
/mikel1,What does Outcome 0 (zero) mean?,"Friends: In line 244068 of valid_training.csv, the Outcome code is 0. Outcomes are defined as: outcome: a numeric code representing 'correct' (1), 'incorrect' (2), 'skipped' (3), or 'timeout' (4): a more detailed indicator of the outcome. What does Outcome 0 mean?",0,None,5 ,Thu Dec 01 2011 12:26:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1114,/competitions/WhatDoYouKnow,32nd
/mattfrancis,Anyone know of a suitable mobile Kaggleable netbook?,"Hi All. I've been working on Kaggle competitions during my commute (about an hour each way), using my little Asus eeePc. It's very light and has plenty of battery life but the 1G of RAM just doesn't cut it for the size of the data sets used in most Kaggle competitions. I've been trying to setup jobs by playing around with subsampled data sets and then run them on the full set using my gruntier box at home overnight, copying the results to the netbook in the morning to look at on the train. Needless to say this is a real PITA since it breaks the flow of the analysis. So, can anyone reccomend a netbook with more grunt that might be able to handle Kaggle work, but still nice and small and light (and cheap!)? When I was shopping around for the one I've got, the more expensive models had useless things like Bluetooth or 3D graphics cards. I really need a lean mean processing machine without extra bells and whistles inflating the price. I guess the market for such a thing is pretty small, but I'm open to suggestions if anyone knows of a good product.",1,None,5 ,Thu Dec 01 2011 23:21:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1117,None,None
/mikel1,Server error in application,Kaggle folks: your server failed when I submitted a valid-looking file. Here is the screen-shot.,0,None,2 ,Fri Dec 02 2011 02:47:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1118,/competitions/WhatDoYouKnow,32nd
/alegro,Submission parser bug?,"I tried to zubmit all zero values as the prediction results and got a bunch of following errors: ""ERROR: The value '0.0' in the required column 'bid51' must be a real-valued number in the interval (0, 8000). (Line 2, Column 8) ..."" Is it a bug or just out of bound value? By the way. Note ""Your entry must: have exactly 50,000 rows"" at the submission page probably is not correct.",0,None,1 Comment,Fri Dec 02 2011 10:00:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1119,/competitions/AlgorithmicTradingChallenge,2nd
/statpassion,Price at Trade Event,"This is probably a dumb question, but the bid and ask prices should be equal for a trade event. I do not see that happening. Also, does each row correspond to one security? Thanks, Nandini",0,None,1 Comment,Sat Dec 03 2011 01:23:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1120,/competitions/AlgorithmicTradingChallenge,None
/barrenwuffet,Blending models,Any one have a link to information about how to blend models?,0,None,1 Comment,Sat Dec 03 2011 15:41:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1121,/competitions/GiveMeSomeCredit,232nd
/del=4573194f4601b602,How to load data?,"I am a high school student. I just learned Machine Learning Online. So I want to practice what I learned. Now, I run into a problem that I don't know how to load CSV to Octave (a free version of Matlab) . Anyone can help?",0,None,33 ,Sun Dec 04 2011 01:24:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1122,/competitions/WhatDoYouKnow,None
/outsider,Why 3 years of claims and only 2 years of outcomes?,The title says it all really. Thanks in advance...,0,None,9 ,Sun Dec 04 2011 14:51:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1123,/competitions/hhp,569th
/lumi25649,user_id issue,"The training and test files do not seem to be created according to the description in the Data section (""The test/training split is derived by finding users who answered at least 6 questions, taking one of their answers (uniformly random, from their 6th question to their last), and inserting it into the test set. Any later answers by this user are removed, and any earlier answers are included in the training set""), as looking into the test file, there are quite a number of user_ids that do not exist in the training.csv file (for example user_ids from 0 to 6). I did not yet check if for any user_id in the test file, that is represented in the training one, there are at least 5 answers in the training file. Any purpose for these extra user_ids? Should they just be discarded? Thanks",0,None,1 Comment,Sun Dec 04 2011 15:13:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1124,/competitions/WhatDoYouKnow,None
/nalla21302,The LengthOfStay in Claims and DaysInHospitalY2/Y3 don't match - Some questions/ideas for Organizers,"After going through various posts and replies on this mismatch of LengthOfStay and DaysInHospital issue, I am still left puzzled. For example, the MemberID '40050285' doesn't have any rows in DaysInHospitalY2 and the member's data is NOT suppressed as indicated by the member's Claim data. In Claim data, it shows that this member has Year LengthOfStay PlaceOfService DSFS ==== ========== ============ ===== 2 3 Inpatient Hospital 1 2 3 Inpatient Hospital 2 2 1 Urgent Care 5 Notice in the above Claim data even the DSFS is distinct and I expect to see 7 days in the DaysInHospitalY2.csv for this member ""40050285"", yet there are no matching rows for this member in the DaysInHospitalY2.csv. Request to the Organizers: Please explain why there is no record in DaysInHospitalY2.csv Also, it seems like there was much discussion about cleaning data or not cleaning data in trying to interpret LengthOfStay. In my view, this is a simple problem to solve for the Organizers by simply providing the DateOfService data for every claim row INSTEAD of clubbing all claims in a month. i.e., to be more specific, there is no way to find out whether two claims (or two claim rows) that has the same DSFS value, say 1 indicating it happened in the 1st month, should be treated as two procedures that happened on the same day resulting in DaysInHospital value of 1 or should be treated as two procedures that happened on different days in the same first month resulting in DaysInHospital value of 2. Once DateOfService is provided, then it should be fairly straightforward to associate LengthOfStay in Claims table to DaysInHospital in DaysInHospitalY2/Y3 table while applying the simple rules the organizers mentioned, such as PlaceOfService value of ""Inpatient Hospital"" or ""Urgent Care"" to interpret a claim as resulting in some hospital stay for LengthOfStay > 0. I think this has caused so much confusion and wasted huge cumulative hours of research across participants which could have been well spent on coming up with a good prediction algorithm.",0,None,2 ,Mon Dec 05 2011 01:12:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1125,/competitions/hhp,None
/stellar,price increment,Hi Admin what is the minimum price increment for this data? Is it a function of price only? thx stellar,0,None,1 Comment,Wed Dec 07 2011 06:45:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1129,/competitions/AlgorithmicTradingChallenge,None
/ranzhang0,PLS model,"Hello there, I am a freshman for data managing and I choose this topic as my course project. I built a PLS model, but the R2 is very low (around 3%) even if I delete some outliers. Anyone can help me? I am very appreicate.",0,None,1 Comment,Wed Dec 07 2011 20:22:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1131,/competitions/DontGetKicked,194th
/ccccat,Why so many teams?,"Why there are so many teams in this competition? I ,personally, would really prefer Algorithmic Trading Contest, but it was not available when I made first submission here. Now I am stuck competing with 817 teams for meager prize. ;(",0,None,8 ,Wed Dec 07 2011 20:46:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1132,/competitions/GiveMeSomeCredit,8th
/mikel1,"Can we publish our findings on our websites, blogs, etc. ?","The Grockit data reveals insight into student behavior that educators and test-constructors should know about. Am I allowed to publish these insights on my website, etc.?",0,None,4 ,Thu Dec 08 2011 06:38:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1134,/competitions/WhatDoYouKnow,32nd
/robert2012,Training set data missing.,"Hi Everyone, I've just made a start on this and I have noticed some issues in the data...I have read the forums on data issues, so this should be a previously undiscussed problem. Sorry if I missed a relevant post. Viewing the data as a set of claims in years 1, 2 and 3, you find that there are people who claimed in year 3 who did not claim in years 1 or 2. There are also people who claimed in year 1 and 3 but not year 2. Similarly, there are people who claim in years 1,2 and 3, and those who claim in year 1 but not years 2 or 3. However, there are no records for people who claimed in year 2 and 3 but did not claim in year 1 . Nor are there records for people who claimed in year 2 but not years 1 or3. I would have expected that there would be some people who claimed in year 2 who had not claimed in year 1 because maybe they joined that year, or maybe they didn't have to claim in year 1. To me it suggests a sampling error when the data was produced. Perhaps it is explained somewhere I haven't seen? (I have read the data dictionary.) The reason this important is that we can make y3 predictions based on y1 claims because we have the data to do that. We don't have data to make y4 predictions based on y2 claims. That would be OK if we knew for sure that there was no case in the y4 test set of individuals who claimed only in y2....but we don't know that do we? <edit>This part may not be an issue since we are to submit predictions for 70942 people, which is the number of people who have claims in y3. However the next part still applies.</edit> Moreover, we don't have the data to check our 1-year horizon predictions by comparing our y1 claim->y2 bed vs y2 claim->y3 bed. This means we're not as secure in our y3 claim->y4 predictions. Hoping this all makes sense.",0,None,9 ,Thu Dec 08 2011 08:15:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1135,/competitions/hhp,None
/vitalyg,Members Backgroud,"I was thinking that it would be interesting to find out the mix of profiles we have here at Kaggle. Here is mine: Age - 28 Location - Israel Academic background - B.Sc in Computer Science and an MBA Profession background - mostly data mining, currently I'm a data scientist at a meduim size CRM company What's yours?",0,None,3 ,Thu Dec 08 2011 09:08:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1136,None,None
/smcinerney,"For R users, what type of plot do you use? and normalization?","This is an R graphing question; I'm spinning my wheels getting a reasonable plot of one row event (bid & ask prices for timeslots 1..100 in the training set). I'm trying to get the bid series as solid green bars (downwards) and ask as solid red bars (going upward, which is tricky). Alternatively, I could create a stacked barplot with a pseudoseries spread=ask-bid (of filled black bars stacked on top of the bid series). Maybe slightly less desirable, because it doesn't plot the series directly. do you use stairstep : plot(..., type='s') ? or stacked barplot()? (if so, I don't see how to get the filled ask bars to go upwards) or do you use [Link]:http://had.co.nz/ggplot2/ , if so which type of plot? [Link]:http://had.co.nz/ggplot2/geom_bar.html, [Link]:http://had.co.nz/ggplot2/geom_ribbon.html, custom qplot ...? Second question: do you normalize the plot, if so to what? the average width of the bid-ask spread during the predictor window (slots 1..50), rounded to nearest unit? the max width of the bid-ask spread? Thanks in advance, Stephen",1,bronze,2 ,Thu Dec 08 2011 11:09:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1137,/competitions/AlgorithmicTradingChallenge,None
/sbagley,Here is a faster version of the lmer benchmark code in R,"The lmer benchmark code was a good start, but I decided to tweak it. The attached version is more general, modular, and about 7 times faster by my informal timing. It keeps the same general structure of iterating over one variable (track_name in the original example) which you can change, and lets you specify the other training variables in a more general way. It uses hash tables to speed access of the model results. The results are within a low-order bit of the original but not identical because I changed the logit function slightly to avoid exponentiation. Feel free to adapt and improve. It's semi, sort of, self documenting. --Steve [12/13/2011: This version has a bug. See my note below.] [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1574/lmer-kaggle.R",1,bronze,3 ,Fri Dec 09 2011 00:38:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1138,/competitions/WhatDoYouKnow,33rd
/olddog1,How good can we get and how do we know when we are there?,"I tried to estimate how good a score a ""perfect"" answer would give. Using Monte Carlo to provide answers in accordance with the LMER benchmark probabilities, and then calculating the score based on those answers and probabilities, provides a CBD score of 0.2504, eerily close to the best score at present. Of course you can beat this by moving probabilites of answers that happen to be correct towards 1 and coversely (if you know them or by trial and error). But this doesn't help predict real students' scores or help them understand what to study. So, have the current leaders already achieved an effectively perfect result or is my analysis wrong? Would someone like to do a similar exercise and post the result? I've purposely omitted details of my calculation so as not encourage repetition of any mistake I've made but I'm happy to post details if required. Any thoughts?",0,None,4 ,Fri Dec 09 2011 09:41:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1139,/competitions/WhatDoYouKnow,50th
/ccccat,Code for verification,"1. For verification purposes participants will have to submit standalone executable code. Will it be possible to submit Matlab code compiled to p-code?(Matlab will be needed to execute it). 2. ""executable code for a standard platform"". What is the ""standard platform"" ?",0,None,2 ,Fri Dec 09 2011 15:32:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1140,/competitions/GestureChallenge,None
/bdol18739,Segfault with sample code?,"I tried running the sample code with Matlab 2010b on 64 bit Linux, but I'm getting a Matlab segfault with no stack trace as soon as I start the training procedure from main.m. When I initially tried running the code, I was asked if I'd like to use the 64 bit version of libavbin.so, and I said yes. Is anyone else getting this problem? Thanks.",0,None,5 ,Fri Dec 09 2011 19:44:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1141,/competitions/GestureChallenge,None
/nlubchenco,Data Formatting Help,"I was wondering if anyone had any suggestions for how to format a handful of the variables for analysis. Converting many of the variables into dummies was pretty easy, but some of them have many values and duplicates. I just did it manually by entering a ALLOY and a COVERS column and then copied appropriate if statements. This is obviously a terrible idea for a variable with an unknown and high number of options. I'm pretty bad at coding, but trying to learn: I tried making an array, but that won't deal with the duplicates (at least the code i've tried). I also tried using the collection object in vba but i'm having trouble making it output what i want. The variables in particular are the Model, Trim, BYRNO and VNZIP1 and VNST. Any suggestions, tips or resources to recommend? Thanks, Nathan",0,None,2 ,Sat Dec 10 2011 00:15:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1143,/competitions/DontGetKicked,141st
/del=4573194f4601b602,I gave up. Maybe this will help.,"It takes me so long to seperate the user_strength so I gave up. As a stufdent, I don't have that much of time. I have already tried to manipulate my algorithm to do faster calculation. But it still is a very time consuming process. I post it and if anyone is interested, just copy it. By the, it is in Matlab. Userid is for valid_train and arranged according to the sequence that user id appear in the dataset. Anyone prefer csv can just change file name to csv. Codes are in para.txt and userid is in userid.txt. Hope you guys can do great. Bill Wang",1,bronze,1 Comment,Sat Dec 10 2011 18:52:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1144,/competitions/WhatDoYouKnow,None
/dchudz,Teams,"The fact that a person can only ever make submissions as part of one team makes it seem that if I make any submission on my own, I can never be part of a team. Is that true?",0,None,2 ,Sat Dec 10 2011 21:28:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1145,/competitions/GestureChallenge,None
/stevenmarkford,Taking Advantage of Special Hardware for Computations,"Am I allowed to offload computations onto some CUDA cores? The particular hardware I will be using costs around $80? I ask this in light of what was said on the prize page ""...so that individuals trained in computer science can replicate the winning results."" As CUDA programming is not very common so someone trained in computer science might not be able to replicate the result with out doing substantial additional training? I don't want to go through the extra effort of porting my code to CUDA if I could potentially be disqualified.",0,None,3 ,Sun Dec 11 2011 15:55:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1147,/competitions/WhatDoYouKnow,153rd
/dchudz,"importing data to Octave/R, visualizing with PCA","Hi all, Anyone who doesn't have MATLAB may find this post helpful for importing the data: [Link]:http://blog.learnfromdata.com/2011/12/visualizing-gestures-as-paths.html. I'd love to hear of other approaches. I also made a visualization of the devel01 training data, and all of my code is available on Github. -David",8,bronze,4 ,Sun Dec 11 2011 23:09:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1148,/competitions/GestureChallenge,None
/iguyon,Getting started,"I added an entry to the Help to help you getting started: There are essentially 2 approches that can be taken for data representation: Extracting a ""bag"" of low level spatio-temporal features. This approach is often taken by the researchers working on activity recognition. An example is the [Link]:http://www.irisa.fr/vista/actions/. Tracking the position of body parts. This approach is used in most games. One popular method was introduced by Microsoft with their [Link]:http://research.microsoft.com/apps/pubs/default.aspx?id=145347, which is part of their [Link]:http://kinectforwindows.org/download/. There is [Link]:http://www.amazon.com/Visual-Analysis-Humans-Looking-People/dp/0857299964/ref=sr_1_1?ie=UTF8&qid=1321321690&sr=8-1 on the subject. Some approaches require separating the gesture sequences into isolated gestures first, which is relatively easy in this dataset because the users return their hands to a resting position between gestures. Once you have a vector representation of isolated gestures, to do the ""one-shot-learning"", the simplest method is the [Link]:http://en.wikipedia.org/wiki/K-nearest_neighbor_algorithm method. But you may also look for the best match between temporal sequences directly without isolating gestures using [Link]:http://en.wikipedia.org/wiki/Dynamic_time_warping. Isabelle",0,None,30 ,Mon Dec 12 2011 20:21:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1150,/competitions/GestureChallenge,None
/anlthms,Where are the quants?,"Too busy making money, I suppose... The low participation level on this contest is surprising. There are 72 teams as of now, while there is a big crowd of 879 teams milling about in the credit rating contest. I think most folks that know this domain well are a bit too gainfully employed in high frequency trading etc. to bother about a challenge like this. Still, one would think this makes a good venue to see how their techniques stack up...",0,None,5 ,Tue Dec 13 2011 07:34:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1151,/competitions/AlgorithmicTradingChallenge,4th
/morenoh149,lmer and caret package in R,"I'm very fond of using the caret package in R for building models. But despite the large number of supported algorithms, mixed effect models from the 'lme4' package aren't supported. Does anyone know if it is programmatically difficult to add support for this to caret? I'm tempted to contact the author and offer help. In the meantime, I suppose all of you are depending on kaggle for evaluating the goodness of your models. I really like evaluating a model using a test set on my own. Just curious if anyone else is in a similar situation.",0,None,2 ,Tue Dec 13 2011 20:06:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1152,/competitions/WhatDoYouKnow,None
/ccccat,Magic team migration,Is it me or three top teams really were moved down the table? Did they disappear completely?,0,None,52 ,Wed Dec 14 2011 00:23:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1153,/competitions/GiveMeSomeCredit,8th
/antgoldbloom,Rules and Terms & Conditions,"We have made a slight change to the [Link]:http://www.kaggle.com/pages/terms adding 3.6: No individual or entity may share solutions or code for any competition, or collaborate in any way, with any other individual or entity that is participating as a separate individual or entity for the same competition. The foregoing shall not apply to any public communications, such as forum participation or blog posts. We are also aware that the rules haven't been as clear as we might have liked. From now on, before you download the data for any new competition, you will be reminded that: you cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts; and privately sharing code or data is not permitted outside of teams (sharing data or code is permissible if made available to all players, such as on the forums). We've reached out to several teams about this issue. Please let us know ASAP if you have multiple accounts and we've not reached out to you.",0,None,1 Comment,Wed Dec 14 2011 03:56:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1154,/competitions/GiveMeSomeCredit,357th
/antgoldbloom,Rules and Terms & Conditions,"We are aware that the rules haven't been as clear as we might have liked. Please be reminded that: you cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts; and privately sharing code or data is not permitted outside of teams (sharing data or code is permissible if made available to all players, such as on the forums). We've reached out to several teams about this issue. Please let us know ASAP if you have multiple accounts and we've not reached out to you.",0,None,16 ,Wed Dec 14 2011 03:58:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1155,/competitions/hhp,None
/arnaudsj,What kind of accuracies are top competitors getting against the valid_test data set?,"Just wondering, since the [Link]:http://www.kaggle.com/c/ChessRatings2/Details/Evaluation metric does not provide a clear understanding of how well the top competitors are predicting the test data set. Cheers!",0,None,3 ,Wed Dec 14 2011 04:36:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1156,/competitions/WhatDoYouKnow,None
/ayushmad,Questions about the data?,"From the information given, I could gather that each row gives a distinct trade and quote values for that stock. At transaction 49-50 liquidity happens for that stock item I have few questions regarding this:- At the trans 49-50 the liquidity happens then shouldnt the spread always increase at that time. In the exmaple set i found few examples that the spread was remaining constant or even dcreasing?Can this be a case for liquidity After we train the algorithm,Is our purpose to predict the next 50 trade and quote prices ? P.S :- I have attached a screenshot where the spread is reduced. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1580/liqred.jpg",0,None,3 ,Wed Dec 14 2011 08:04:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1157,/competitions/AlgorithmicTradingChallenge,None
/cr21579,Why there is no submission after august,"Why there is no submission after August 31, on public leaderboard?",0,None,2 ,Wed Dec 14 2011 08:44:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1158,/competitions/hhp,None
/soil1682,More submissions in the last day?,"Is it possible to allow people make more submissions in the last day? Just in case they have some new ideas not tried yet, because this is the last chance!",0,None,4 ,Wed Dec 14 2011 09:17:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1159,/competitions/GiveMeSomeCredit,93rd
/karmicmenace,Teaming up?,Anyone interested in teaming up for this and other upcoming competitions ? I am interested in colloborating mostly for experience and learning. I must be missing something basic with this algo competition and newer perspective always help. Thanks.,0,None,5 ,Wed Dec 14 2011 09:48:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1160,/competitions/AlgorithmicTradingChallenge,74th
/leazar,Limit order book,"I'd be curious if anyone has explored assembling the limit order book from the data provided. It seems that the magnitude of the shock (price change) and how quickly it reverts to normal is going to be related to limit orders in the book that can be filled to meet the request. With that said, I'm not certain there is enough information. As an example, with the exception of the bid/ask we are ask to predict, there is no information on volume of trades coming in, only that a trade occurred. One may be able to infer the type of previous trades based on the subsequent price movement, but without volume information, it's difficult to judge the magnitude or how depleted the limit order book is for meeting order request we are ask to predict. thoughts?",0,None,1 Comment,Wed Dec 14 2011 23:00:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1161,/competitions/AlgorithmicTradingChallenge,61st
/byang1,Vdeo Decoding Hurdle,"I suspect no one has made a submission yet because unlike other contests, the data for this one is not readily accessible. I downloaded one of the ZIP files and double-clicked on a video, and Windows Media Player popped up with this message: Windows Media Player encountered a problem while playing the file. For additional assistance, click Web Help. I've worked with digital video before so I opened the AVI file in a hex editor and saw that the video codec is FMP4, something I never heard of before. I guess we can all download libavcodec and write our little video decoders, but is there a Visual C++ project out there already with all the external libraries included, that decodes FMP4 video to RGB or YUV buffers ?",0,None,6 ,Thu Dec 15 2011 05:53:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1162,/competitions/GestureChallenge,None
/imagedoctor,Lottery Result,"I wonder who might win today's lottery, are the top entries overfitted on the public test data ? Will the surprisingly high number of teams in this competition mean that probability of a more generalised solution emerging as being the most successful on the fulll test set is higher? Or is there too high a degree of correlation amongst entries .... ? How would the competition have looked if there were no test set scores available at all and we only had access to the training data...would that have led to better generalisation and less tuning of entries to the distribution of the public test data? Anyone care to make some predictions, after all it's what we are here for... :)",0,None,1 Comment,Thu Dec 15 2011 10:04:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1163,/competitions/GiveMeSomeCredit,None
/chinni0,Output format,Could you please somebody tell me what is the output format that I have to submit on test data? Is it like RefId Preidiction score ? Where can I get the evaluation output(actual output) to compare my predcited value?,0,None,4 ,Thu Dec 15 2011 14:19:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1164,/competitions/DontGetKicked,410th
/oneoff,Random forests based on subsets of dataset,"Have anybody tried to build random forests based on 4 different subsets of dataset ? Each dataset is created by taking subset of rows and columns. For the first subset we take only that observations that have no NAs, second subset consist of observations that have only one NAs in given column and then delete that column consisting of NAs etc, then we classfy four subsets of test detaset. I wonder if that work better then appoximating NAs and training classifiers on corrected dataset. It's too late for me to try this approach. ps. the nice thing with random forest is that we dont need to take whole dataset at once (which could be the problem with weaker computers), instead of that we can train several random forests : train one random forest on random sample of traing dataset then predict classes of observation in testing dataset, delete random forest and train another one on random sample, after we decide that the number of classifiers builded is enought we can simply aggregate their predictions, the good side of this approach is that if saves memory, the other is that we can play we simply (naive :D ) boosing - make weighted sampling, instead of random sampling - after each random forest is trained we give bigger sampling weights for observation that are misclassified that resample and build another random forest, after several iterations observations on the border of two classes should have bigger weights of course that method is sensitive to outliers, and which observations classify as outliers ? observations with largest weights (one percent of them) after several iterations of algorithm, then we can delete them from dataset and reapet learing, beafore each detetation we predict classes of test dataset and submit our result, then delete and learn again, that should alow us for quite cautious/gradual cutting off outliers, the main problem is processing power, time and setting constans like size of the subsets, I wonder if that could work",0,None,1 Comment,Thu Dec 15 2011 14:36:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1165,/competitions/GiveMeSomeCredit,None
/sirguessalot,Congratulations to the winners!,"Congrats to Alec, Eu Jin, and Nathaniel for the top spot! Also congrats to Gxav and Occupy for coming in secong and third. We'd love to hear what methods you all used on this very popular contest.",8,None,59 ,Fri Dec 16 2011 01:14:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1166,/competitions/GiveMeSomeCredit,28th
/arcnewuss,number of rows submission,"For submission it is required that ""Your entry must: have exactly 48,707 rows"", but then I submitted a 2 column file of exactly 48, 707 rows and got the error: ERROR: Couldn't find matching destination row for '1' on sortable column 'RefId' (Line 1) I don't understand what I did wrong. My first row (line) is 1,1 Thank you for considering my request,",0,None,5 ,Fri Dec 16 2011 02:22:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1167,/competitions/DontGetKicked,404th
/del=92525096498f3bbd,General Questions,"General Questions: So since their are 2 types either ""devel"" or ""valid"" and 20 choies for each of those, there would be a grand total of 40 batches with each batch having 100 gestures? So by saying that their are ""There are instances of N unique gestures from a vocabulary of 8 to 15 gestures"" you are saying that each batch contains a unique subset combination of the 8-15 gestures? Actually I think it would be permutation since order does matter(what order the gestures are done in)? Just wanted to confirm that I do not have to publish any papers on this topic correct seeing as to how the deadlines for submission are before final evaluations? Training Data/Test Data Am I allowed to use cross validation or do I have to keep data as training data and testing data seperate? Along the same lines am I allowed to use methods such as boosting/bagging? I don't really understand how to read the training data/test data: Ex: In ""devel01_train.csv"", cell A1 specifies following: devel01_1,10 Should I go ahead and split the data on the commas, because in excel all the data is shown in one column? So devel01_1 would be the row id which wold be unique and 10 would be a label? What is this label? Is that label the classification? Thanks!",0,None,1 Comment,Fri Dec 16 2011 07:54:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1169,/competitions/GestureChallenge,None
/del=4e191bb6982745b7,Question on Handling Makes and Models,What has been working in terms of handling the categoricals? Lots of different feature vals in this dataset,0,None,4 ,Fri Dec 16 2011 21:21:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1170,/competitions/DontGetKicked,376th
/lino25308,Data and Ideas from Milestone winners' papers,Hi! Can I include in my algorthms some data or ideas published in previous Milestone winners' papers ? In Particular the table of page 18 from the Market Makers paper. Thanks.,1,None,2 ,Fri Dec 16 2011 21:25:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1171,/competitions/hhp,None
/dpmcna,Survey for competition participants,"For interest, here is a link to a follow-up survey that the competition host encourages all participants to fill out: [Link]:https://www.surveymonkey.com/s/GHRM78D. Your contribution would be highly valued!",0,None,2 ,Fri Dec 16 2011 23:08:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1172,/competitions/GiveMeSomeCredit,None
/tinkerer,can you continue to submit your result after the competitions are over?,"Hi, I wonder whether we can submit the result after the competitions are over. The reason I want to do that is because I like to see my evaluation result even though the competitions are over. Does Kaggle allow that? Thanks, SK",0,None,1 Comment,Sat Dec 17 2011 20:19:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1174,None,None
/salimali,spikes in timing of the shocks,Here is my brief examination of the data - hope it may prove useful to someone. Does anyone have any other hypothesis of why these spikes occur? [Link]:http://anotherdataminingblog.blogspot.com/2011/12/whats-going-on-here.html,3,bronze,1 Comment,Sat Dec 17 2011 23:04:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1175,/competitions/AlgorithmicTradingChallenge,None
/mistergreen,Gini,"Hey all, This is my first post here, and this contest will actually be my first that I've ever entered. I'm sorry if this is a dumb question, it seems like it is, but how exactly is the gini index used to get results here? I have a basic idea of what a gini index is, but I'm not sure exactly how to use it to compare results of my models. Is it based on the confusion matrix? Thanks in advance. Rob",0,None,1 Comment,Sun Dec 18 2011 05:53:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1176,/competitions/DontGetKicked,567th
/jmalicki,How were public/private leaderboard and test set sampled?,"There's been a lot of hullaballoo over how much the public leaderboard differed from the private leaderboard. Were they uniformly randomly sampled? With datasets that have a lot of rare columns, is it worth considering choosing sets via stratified sampling to get more regularity between them? This could help to minimize variance between sets, while keeping the public leaderboard small, and perhaps even increase accuracy of the private leaderboard.",0,None,19 ,Sun Dec 18 2011 18:28:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1177,/competitions/GiveMeSomeCredit,3rd
/anlthms,"Kaggle, please check your scoring system","Something doesn't smell right... I compared the testing dataset to the old testing dataset (the one you had appended to the training dataset as the last 50K lines). Using measures such as variance of the prices, mean and variance of the spread etc., they look very similar. And yet, they score very differently from each other. As I pointed out in another thread, the benchmark RMSE is ~0.85 for the testing dataset while it is 1.2695 for the old testing dataset. I have a few hypotheses. - the scoring is done in way less than 30% of the testing dataset. - the 30-70 split was not done randomly. - the score is not RMSE, but some other beast. Another red flag is that minor tweaks to the code that should result in a small variation in accuracy actually leads to wild swings on the score reported by the scoring system. Please check and get back to us.",1,bronze,15 ,Sun Dec 18 2011 22:08:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1178,/competitions/AlgorithmicTradingChallenge,4th
/jothy17269,Reduce variable level,"Statistics student here, What is the best method to reduce the categarical independent variable/ reduce the level of indepenedent variable in the training data set.",0,None,7 ,Mon Dec 19 2011 13:52:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1179,/competitions/DontGetKicked,332nd
/bergeisubka,Breaking up of Training Data,"Would it be possible for admin (or some one else ) to break up the training data randomly into smaller sets , say 10000 rows each. My outdated PC has given up trying to process the complete file. I have been able to break the data serially using a software but that doesnt solve my problem.",0,None,7 ,Mon Dec 19 2011 16:05:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1180,/competitions/AlgorithmicTradingChallenge,72nd
/del=045cbb9e15a01d31,The leaderboard is wrong!,"Click on Larry_temp, liqo and Yarong and you get ""Server Error"" which means those accounts have already been deleted. It seems the Kaggle team doesn't care about this unfair situation. Server Error 404 - File or directory not found. The resource you are looking for might have been removed, had its name changed, or is temporarily unavailable.",0,None,9 ,Mon Dec 19 2011 17:40:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1181,/competitions/hhp,None
/outsider,Non-Random 30 Percent?,"After reading some of the forum posts from recent competitions, I have some concerns that the 30 percent of the data against which our public score is measured is not a random sample of those members with claims in Year 3. If some other rule was applied, then there could be a material statistical bias on the 30 percent public and the 70 percent private data. One way I thought this problem could be mitigated would be to calculate the final results on the whole 100 percent - after all isn't that what a good algorithm is supposed to work on? If anyone has fitted to the 30 percent, they probably will not gain a great deal (and may lose out) when measured against the 100 percent. Failing that, could Kaggle please disclose how the 30 percent was sampled, otherwise the competition becomes something of a lottery. The 'Give Me Some Credit' competition final leaderboard was very different in both the leaders' scores and the ordering of many of the competitors (Soil going from 3rd to 117th according to the forum). This might not matter too much for those competitors doing it for fun or as an exercise, but for those putting in potentially hundreds of hours to try to actually win, I think it would be important to be judged accurately in the final event. Thanks.",0,None,11 ,Mon Dec 19 2011 22:41:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1182,/competitions/hhp,569th
/cihanb,devel*_test.csv vs. devel*_train.csv Question,"Hello, I was just looking at the data and noticed these two .csv files. My question is: Are we only allowed to train our classifier with the examples specified in devel*_train.csv? The reason why I'm asking is that the examples in devel*_test.csv seem to combine multiple gestures and also repeat the same gestures for different data points, which I thought defeated the purpose of the competition. The examples in devel*_train.csv are for testing/cross-validation? I think that our classifier is supposed to use each gesture only once - that's why I was a little confused.",0,None,5 ,Tue Dec 20 2011 06:30:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1183,/competitions/GestureChallenge,None
/jaro27491,How to send an algorithm to assessment?,"Hello, I am going to join a competition: ""Don't get kicked"". I will probably use SAS or Statistica. I didn't find information on how I should send my algorithm to be assessed and to calculate a GINI indicator. Shall I just send a ""Project"" made in SAS Enerprise Guide or maybe a project made in SAS Enterprise Miner? Thanks for the answer Best regards, Jaro",0,None,1 Comment,Tue Dec 20 2011 14:19:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1184,None,None
/akshit,Unable to load data in Octave.,I am trying to load the training.csv file in octave using dlmread function but it seems to be taking a lot of time . I tried the dlmread function on a file containing about 100 examples and it worked fine but for given training.csv it seems to be taking a lot of time. Can anyone suggest some other way of loading the dataset in octave?,0,None,3 ,Tue Dec 20 2011 16:31:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1185,/competitions/DontGetKicked,390th
/masifjaffer,Help on Algos,Dears I am using Knime which is giving Java Heap space error. I tried to extend the memory through ini file but it didnt work. I cannot run any classification technique in Knime and Weka due to this and I dont know how to use 'R'? Can anybody help in this? Regards M Asif,0,None,1 Comment,Tue Dec 20 2011 17:32:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1186,/competitions/WhatDoYouKnow,160th
/dejavu,impact of organizers divulging information mid-contest,"Just curious. Are there any guidelines regarding competition organizers divulging methods, algorithms or predictive variables that are likely useful mid-contest? I understand that the organizers want to find the best solutions, and releasing such information may help, but it can be frustrating to have spent hours developing such approaches only to have these broadcast to all competitors.",0,None,7 ,Wed Dec 21 2011 15:06:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1188,None,None
/edramsden,A Really Simple Model,"A really simple model I tried was P(correct) = max(min(Studentfactor*QuestionFactor, 1),0) , which yields 0.26277. It is pretty easy to train up to find the student and question factor vectors. This model does not consider anything other than a student's average performance and the average difficulty of a question, and could be interpreted as some questions are more difficult than others and some students are brighter than others. EdR",3,bronze,18 ,Thu Dec 22 2011 03:54:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1189,/competitions/WhatDoYouKnow,30th
/goldenhind,Two problems,"The Heritage competition can be tackled statistically as a regression problem, which is the prediction of a continuous numeric variable. I've been working for quite a long while on developing ""industrial strength"" solutions to the closely related problem of the prediction of nominal categorical variables, which forms the basis for many data mining and machine learning applications. A famous early ""solution"" is Fisher's 1936 linear discriminant analysis of the Iris data. So when the Heritage competition was announced ealier this year I was curious to see what was involved. After an extensive review of the background literature I came to the conclusion that it can be split into two problems, one potentially solvable, the other probably not. The first problem is developing an accurate statisical regression model, which is to estimate the condtional probablity distribution of the number of days of hospitalization for any given individual, taking into account all the relevant inoformation. The Heritage data is unusual in that it violates many of the assumptions which form the basis of the conventional statistical treatment of regression. (Many diverse data types including highly postively skewed count variables, extreme population heterogeneity, heteroskedasticity, skewness, kurtosis, non-normality, in addition to the nonlinearity, interaction, and collinearity which crop up in most real world regression probems.) Nonparametric or machine learning approaches are only limited solutions to these problems. These topics are almost never covered in basic statistics education, and are given short shrift in statistics books. The closest treatments of this type of medical data which I could find in the literature are the work of two econometricians Camerron & Trivedi in their book ""Regression analysis of count data"" Cambridge 1998, the Manton et al epidemiological book ""Cancer Mortality and Morbidity Patterns in the U.S. Population"" Springer 2009, and the Dartmouth Medicare project under Wennberg. As far as I can tell, none of this work completey solves the Heritage data problem, though Cameron & Trivedi present an example of a problem whch is suspiciously simiiar to the Heritage problem :-) Fully solving the regression problem would take a fair amount of work, but there is a second problem which I mentioned up front. It is that even given the copndtional porbability distributions for individual patients, these would not allow for accuarete prodction. We would see here large forecast erors for quite a few patients, ""residuals"" in regeession terminiology. The reason for this is that the conditionl probebility distributions would also be highly positively skewed counts, and in some cases even U shaped. The effect of the large residuals when squared, even after taking logarithms would be to indicate poor predictive accuracy. In fact, this problem is almost the same as the one which crops up in the life insurance industry, in that it is not possiible to accurately predict the experience of specific indiividuals, only the average experience for various risk groups. In medicine, the prognoses of indiividual patients can also be notoriously inaccurate, as when a physician tells a patient he/she only has 6 months to live, and they are still alive 5 years later! So all this raises the basic question, at least for me, is how much work should be put into the approach implied by the Heritage competition. Maybe some other problem formulation should be considered down the road. My own personal interests lie more with scientific and engineering applications for these statistical methodologies, such as the ab initio protein folding problem or statistical pattern recognition. In fact, one of the reasons I got into this business was the use of artificial neural networks for protein structure prediction. ANNs had been critiqued on both biological grounds (Francis Crick) and statistical grounds (Warren Sarle of SAS.)",2,bronze,7 ,Fri Dec 23 2011 17:56:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1190,/competitions/hhp,538th
/asher27323,On Learning Excel & Other Tools,"If you were a beginner, how would you learn how to analyze data in Excel? What books, websites, classes, or software would you use, to ensure one can attain proficiency in Excel? Personally, I don't learn anything until I actually apply it, so a 'reference' type resource will not be the best solution. I learn best when forced to complete exercises, problems and practice, preferably where there is a predetermined solution against which I can check my work, alongside instructive examples that have already been worked out and demonstrate the given technique. Without completing an assignment and checking the answer, I'm never sure if I actually know the material. Something like a common math textbook, in effect, where examples are worked through and then problems are assigned, with answers to check your work, is what I have in mind. Of course, the slicker the interface and software, the better, though I find videos to often be needlessly long. A comprehensive course structure is preferred to a laundry list of lessons. Beyond Excel, what other educational resources would you recommend to learn other tools/platforms? My background: I'm new to Kaggle. While I don't anticipate partaking in any competitions just yet, I'd like to enhance my Excel skills. I currently work as an analyst of sorts, and it involves various modeling, forecasting and regressions within Excel. I've taught myself how to do various things as the need arose, such as scenario tables, solver, lookup, and regression analysis. Relative to the average user, my skills are advanced, but to a seasoned data analyst, I might qualify as a beginner. So I'd like to learn more.",0,None,1 Comment,Sat Dec 24 2011 00:04:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1191,None,None
/byang1,"Gaps between validation, public, and private leaderboard scores","If you read [Link]:http://www.kaggle.com/c/AlgorithmicTradingChallenge/forums/t/1111/milestone-entries-and-reviews, you'll see that for the Nov 30 prize we have these public leaderboard scores: Xiaoshi Lu, 0.76133, 1st on public leaderboard Alec Stephenson, 0.77847, 5th on public leaderboard and for the Dec 22 prize we have: Xiaoshi Lu, 0.75567, 1st on public leaderboard alegro, 0.78206, 20th on public leaderboard yet evidently both Alec Stephenson and alegro had better private leaderboard scores, despite large lag on public scores. So it looks like in this competition, the public score has little bearing on the private score, it's not even a rough indicator. I guess rumors of large, seemingly random differences betweenn local validation and public leaderboard scores in this competition are true. Anyone care to comment ?",0,None,5 ,Sat Dec 24 2011 00:20:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1192,/competitions/AlgorithmicTradingChallenge,None
/wildutah,Controller in hands,"Will all the videos have the human holding that black controller in one hand? Will it always be the right hand? Note: In the third set of videos, the human puts down the controller before each gesture. And operates it with the left hand. I'd still like to know if the controller will reliably be part of every video and if any other object will be held in any of the videos.",0,None,1 Comment,Sun Dec 25 2011 00:34:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1193,/competitions/GestureChallenge,None
/bensalel,reading the files to R,hi want to take a part in this competition but i dont know how to read those csv big files to R i use read.csv but R tells me that i have a memory problem what can i do??? elad,0,None,13 ,Wed Dec 28 2011 09:36:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1195,/competitions/WhatDoYouKnow,None
/tritonsd,Best CBD for a single method,"I was wondering how well a single method performs on this dataset, My best single method, matrix factorization inside a logistic function. Validation Public Leaderboard 0.25211 0.25320",0,None,9 ,Wed Dec 28 2011 18:13:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1196,/competitions/WhatDoYouKnow,5th
/newdogwitholdtricks,Team merge offer,"I obtain a leaderboard score of around 24.5 using a single classifier. No special attribute pre-processing, missing value handling or use of the test data. If anyone thinks that we can help each other, he/she is welcome to contact me. I assume such an offer is allowed according to the competition rules. If not, I am sorry.",0,None,4 ,Wed Dec 28 2011 22:49:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1197,/competitions/DontGetKicked,41st
/challengeadmin,Win a free Kinect,"Win a free Kinect if you are among the first 10 people who make an entry that outperforms on validation data the sample code entry: sample_predict.csv Benchmark [Link]:http://www.kaggle.com/c/GestureChallenge/Leaderboard#0.59978 To clain your prize, send to events@chalearn.org a screenshot of the leaderboard showing your entry and indentify your entry.",0,None,12 ,Thu Dec 29 2011 18:46:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1200,/competitions/GestureChallenge,None
/william27672,Best Software,"Hi Guys, I am relatively new to Kaggle and the data mining community but I am really interested in this field! I would like to know what kind of software you use for database management, data manipulation and visualization, machine learning, etc.. Thanks Alot!",0,None,4 ,Fri Dec 30 2011 03:59:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1201,None,None
/erdman,What happened to the Claim Prediction Challenge?,"Why is the link to the Claim Prediction Challenge's forums dead? http://www.kaggle.com/c/ClaimPredictionChallenge/forums Coming up on three months since the end of that contest, why has there not been a single ""How I Did It"" published?",0,None,8 ,Sat Dec 31 2011 02:48:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1203,None,None
/nvedia,Tutorial on data analysis on approaching similar problems on this website,Hi All I have very good knowledge about JAVA/python/C++ and algorithms 1. Please let me know what are the prerequisites to start solving similar kind of problems in the contest 2. Any book/tutorial or forum where I can first practise solving such kind of simple problems to become better solving these problems Thanks,1,None,1 Comment,Sat Dec 31 2011 09:23:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1204,None,None
/ildefons,I can't submit,"Is there any problem with the ""make submission"" button? Today I have tried several times but I didn't succeed...",0,None,1 Comment,Sat Dec 31 2011 18:10:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1205,/competitions/AlgorithmicTradingChallenge,1st
/fuerve,Operationalizing a winning model,"I'll disclaim my post by stating that I am a total neophyte to statistics and machine learning (and I'm very much enjoying learning by participating in these competitions). I finally got a chance to carve out some time to start checking out this competition. I've never encountered Rasch analysis before (no surprise there) so I stepped through the benchmark code a bit and read some documentation on it to get an idea of how the problem might be approached. I've also appreciated the input of folks like Yetiman and others in other threads in this forum. I'm not a professional machine learning practitioner (yet), but I am a practicing software engineer. Looking at the way the model is fitted and the data that were provided, a few things come to mind about which I'm interested in soliciting opinions both for my own edification and for the purpose of better understanding the requirement of this and other competitions (and real-world ML problems). None of this is intended as nasty, harsh criticism so much as, well, flowery, non-harsh criticism with puppies and rainbows. The user ID as an input seems hokey in the long run for any model fit offline, unless you're planning to refit that model periodically with new data (expensive, highly latent, poor customer satisfaction!). This is my intuition, but I'd be interested to hear if it has been proven otherwise. The benchmark prediction code throws away the user strength number altogether if the user has never been seen before and relies entirely upon the question strength. Would it make more sense, say, to impute the median strength of all known users in place of an empty value (getting closer to a recommender system here)? Does the competition metric (CBD) essentially bias toward offline models that overfit the test set? I know that the topic of the nature of the data (timestamps, for instance) has already been broached, so I won't drag that discussion into this question. That notwithstanding, I'll be interested to see (and I'm probably going to get started on an implementation here soon) how well an online(ish) recommender system measures up against various offline models in terms of the competition metric. But in Grockit's case, where easing the path for integrating new users into the system is probably a primary operational goal (please tell me if it's not), the competition metric itself seems to yield no information about preference of systems that effectively balance cost and efficacy. I know I'm being a stickler with that last one. I certainly don't have any better ideas, as far as some mystical faery metric that sprinkles magic information dust all over your data about how lean a model can be to run and how happy its users will be. I wish I did. In the case of other competitions, it hardly matters, but in this case, it seems very pertinent. Or maybe I'm totally wrong. I'd really like to know. Anyway, good luck and happy hunting, all.",0,None,5 ,Sat Dec 31 2011 20:23:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1206,/competitions/WhatDoYouKnow,57th
/alecstephenson,Parallelized Random Forests,"I've never looked into parallel programming, but inspired by code from Joe Malicki and the new recommended R package 'parallel', I had a go at writing functions for parallelized random forests. The function parRandomForest1 uses forking, which is fast but is not available under Windows (apparently it will run but not in parallel), whereas parRandomForest2 will work on any operating system. The function detectCores() returns the number of cores on your machine, but it is not fullproof so replace it with the actual number if you know different. The seed argument is for reproducibility. The data I am using is the file cs-training distributed in the recently completed 'Give Me Some Credit' competition which can be [Link]:http://www.kaggle.com/c/GiveMeSomeCredit/Data. I'm running linux (debian squeeze) on a fairly old laptop with a 2GHz Intel Core 2 Duo T7300 processor, so I only have two cores. You can see that the speed-up with forking is moderate, going down from about 36 (one core) to 28 (both cores) seconds of elapsed time. Any suggestions for code improvements or speed-up? What timings do you get on your system? library(randomForest)library(parallel)options(mc.cores = detectCores())train <- read.csv(""cs-training.csv"")[,-c(1,7,12)]train[,1] <- factor(train[,1])parRandomForest1 <- function(xx, ..., ntree = 500, mc = getOption(""mc.cores"", 2L), seed = NULL){ if(!is.null(seed)) set.seed(seed, ""L'Ecuyer"") rfwrap <- function(ntree, xx, ...) randomForest(x=xx, ntree=ntree, ...) rfpar <- mclapply(rep(ceiling(ntree/mc), mc), rfwrap, xx=xx, ...) do.call(combine, rfpar)}parRandomForest2 <- function(xx, ..., ntree = 500, mc = getOption(""mc.cores"", 2L), seed = NULL){ cl <- makeCluster(mc) if(!is.null(seed)) clusterSetRNGStream(cl, seed) clusterEvalQ(cl, library(randomForest)) rfwrap <- function(ntree, xx, ...) randomForest(x=xx, ntree=ntree, ...) rfpar <- parLapply(cl, rep(ceiling(ntree/mc), mc), rfwrap, xx=xx, ...) stopCluster(cl) do.call(combine, rfpar)}system.time(RF1 <- randomForest(train[,-1], train[,1], ntree=100, sampsize = 50000, replace = FALSE, nodesize = 50, mtry = 4, classwt = c(0.5,0.5)))# user system elapsed # 36.062 0.120 36.203 system.time(RF2 <- parRandomForest1(train[,-1], train[,1], ntree=100, sampsize = 50000, replace = FALSE, nodesize = 50, mtry = 4, classwt = c(0.5,0.5)))# user system elapsed # 36.902 0.652 27.724system.time(RF3 <- parRandomForest2(train[,-1], train[,1], ntree=100, sampsize = 50000, replace = FALSE, nodesize = 50, mtry = 4, classwt = c(0.5,0.5)))# user system elapsed # 1.301 0.292 30.480",1,None,3 ,Sun Jan 01 2012 03:51:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1207,None,None
/rajstennajbarrabas,A technical question on Kinect color data,"If I take any frame of any of video, such as the first frame of devel01/K_1.avi and extract it as a bitmap I get a 320x240 B&W image with 211 unique colors. I make a histogram of the colors. Essentially, I count the number of pixels where Red == 1, the number where Red == 2, and so on. I've excerpted the beginning part of this table below. The left-hand column is the color index, with ""0"" being ""black"", the next column is Red, then Green, then Blue . There are a large number of counts assigned to RGB=[0,0,0], reflecting the proportionally large number of black pixels in this image. If you look at any individual column, you'll notice that there is a regular repeating ""0"" every seven positions. In the red column, these zeroes are at positions 5, 12, 19, 26, and so on. This pattern goes on for the entire histogram, and is fixed for all scenes in all videos I've examined so far (a very large number... it hasn't finished yet.) Normally I would consider this a quantization effect of the hardware. The hardware only has a resolution of 211 possible depths, and this is mapped into the 256 range of an RGB image. Zeroes are inserted, no problem, this is standard hardware behaviour. My question is this: If you compare the three columns, note that the Green and Blue columns also have zeroes... but these are offset from the zeroes in the red column. The green zeroes are two ahead of the red ones, and the blue zeroes are one behind. Taking a color as an example, there are 22 pixels which have Red == 6. All of these have Green == 8 and Blue == 5 in the image, indicating that the colors match the offsets in the table as well as the zeroes. I'm led to the hypothesis that the Kinect data has a bug in the transcription mechanism. The underlying hardware generates depth information quantized to 211 levels, but when this information is translated into RGB the color channels get ""out of sync"" with each other. The normalization algorithm is somehow skewed - averaging the R+G+B components is incorrect - one of the channels is correct, and the skewness of the other channels will introduce noise into the renormalization calculation. It would appear that the correct normalization procedure is to use one channel (probably Green) to calculate the original depth data. Taking Red == 1 as an example, the corresponding Green should be 3 and Blue should be -1. All pixels which have Red == 1 have Green = 3 and Blue == 0. This indicates that the offset in color intensities is clamped to the endpoints of the range. If this is indeed a transcription problem, correcting it would remove the clamping effect from the range endpoints, resulting in better resolution at the extreme ends of the measurement spectrum. 0: 1270 1132 1297 1: 27 98 17 2: 17 40 15 3: 15 27 15 4: 15 17 0 5: 0 15 22 6: 22 15 14 7: 14 0 13 8: 13 22 15 9: 15 14 13 10: 13 13 9 11: 9 15 0 12: 0 13 2 13: 2 9 5 14: 5 0 4 15: 4 2 2 16: 2 5 4 17: 4 4 3 18: 3 2 0 19: 0 4 2 20: 2 3 2 21: 2 0 2 22: 2 2 3 23: 3 2 4 24: 4 2 4 25: 4 3 0 26: 0 4 4 27: 4 4 2 28: 2 0 7 29: 7 4 2 30: 2 2 7 31: 7 7 5 32: 5 2 0",0,None,1 Comment,Sun Jan 01 2012 05:07:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1208,/competitions/GestureChallenge,46th
/zygmunt,Skewed data,"You surely noticed that the data set in this challenge is seriously skewed: negative class outweights positive 5:1. (That's a good thing, actually, because that many more buys turn out good than bad). So, how do you deal with this? What are your precision and recall?",0,None,1 Comment,Sun Jan 01 2012 23:33:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1209,/competitions/DontGetKicked,None
/rajstennajbarrabas,A question on color correlation,"Consider the devel03 training files. M_1 shows the actor wearing a black bib which covers most of his body. Test videos of this gesture have him wearing a white T-shirt. In M_2 he has the bib on his lap, and is wearing a patterned shirt. Test videos of this gesture have him wearing a white T-shirt. In M_3 .. M_6 there is no bib but there is a shirt. Test videos of these gestures have him wearing a white T-shirt. In M_7 .. M_8 he is wearing a white T-shirt Just to be clear, you would like a system which trains on color images where the actor is wearing one set of clothing, and then interprets gestures when the clothing is significantly different. This is correct, yes?",0,None,1 Comment,Mon Jan 02 2012 02:11:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1210,/competitions/GestureChallenge,46th
/anup13958,Submission Problem,"I am not able to submit my csv file. Following is the message I get, ERROR: The value ' 11 6 ' in the required column 'Column2' must be a string matching the regular expression ""^([1-9][0-9]?\s){0,49}([1-9][0-9]?)?$"". (Line 1, Column 13)",0,None,3 ,Mon Jan 02 2012 03:19:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1211,/competitions/GestureChallenge,19th
/dejavu,Will all submissions be scored?,"What feedback can we expect following the deadline eg will all submissions be scored? Will the test data be released? I would hope for both. Thanks,",0,None,2 ,Mon Jan 02 2012 06:40:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1212,/competitions/AlgorithmicTradingChallenge,9th
/del=92525096498f3bbd,Depth Image Vs RBG Image,In case any one is curious: Its seems like the depth videos serve as better images than RBG Images based on using the sample code.,0,None,5 ,Mon Jan 02 2012 19:19:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1213,/competitions/GestureChallenge,None
/domcastro,Item Response Theory,"Hi, I know there's an introductory post about this but I think the Forum is broken and is not allowing me to go to the 2nd page of topics. Anyway, I'm having trouble understanding IRT and reverse engineering the code. Could someone, in simple terms, explain to me how the user ability and question difficulty is worked out. ta EDIT: Are these just the ""random effects"" output from LME?",0,None,4 ,Mon Jan 02 2012 20:47:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1214,/competitions/WhatDoYouKnow,None
/nicyeg,Can you provide the skeleton data?,"Kinnect generates the skeleton data which conveniently position of hands, head and elbows can be found. Why skeleton data is not included in the samples? We need to spend a LOT of time to implement and test well-known eixisting image-recognition techniques to find hands and remove the body which will eventually be re-inventing the wheel (probably a flat one). Wouldn't it be better to let us focus on the gusture recognition?",0,None,3 ,Tue Jan 03 2012 05:32:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1215,/competitions/GestureChallenge,None
/pwfrey42,Binary Outcomes,"I keep wondering why the sponsors of many contests choose to provide a binary outcome. In the Don't Get Kicked! competition, each auction purchase in the training file is scored as a 1 or 0 where a 1 signifies a bad buy. Would it not make more commercial sense to score each case in terms of the profit or loss for each purchase? This should make the prediction models more valuable since they would discriminate between small losses and big losses and also between small profits and big profits. One would think that the auto dealers who are involved in the auctions would be able to generate this information and would benefit from prediction models that can make finer distinctions.",0,None,3 ,Tue Jan 03 2012 18:52:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1216,/competitions/DontGetKicked,2nd
/anup13958,Blank / Total Black videos,I am wondering if videos like valid01 K_24.avi should be considered as an error in the given data. What do you expect to be the label of such videos ??,0,None,4 ,Tue Jan 03 2012 20:11:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1217,/competitions/GestureChallenge,19th
/gaborfodor,final leaderboard score,"Hi guys! I read on the submission page: ""Note: You can select up to 5 submissions that will be used to calculate your final leaderboard score. If you do not select them, up to 5 entries will be chosen for you based on your most recent submissions. Your final score will not be based on the same exact subset data as the public leaderboard, but rather a different private data subset of your full submission."" How will be calculated the final score from the five submissions? (max or avg or something else?)",0,None,3 ,Wed Jan 04 2012 11:31:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1220,/competitions/DontGetKicked,56th
/del=92525096498f3bbd,Questions about Sample Code,"Main.m Line 39: truth_dir = []; % Where the missing truth labels are... Not sure what this is refering to. Is this the actual labels for the data? Line 72: recog_options={'test_on_training_data=1', 'movie_type=''K'''}; Are these parameters/assignment to the variables in the recog_template? Line 126- Line 129: % Load training and test data dt=sprintf('%s/%s', data_dir, set_name); if ~exist(dt),fprintf('No data for %s\n', set_name); continue; end D=databatch(dt, truth_dir); Does it have both training and testing data for valid data set provided? I thought for the valid data the testing is done when you submit your csv file online? Line 134-138: % Split the data into training and test set Dtr=subset(D, 1:D.vocabulary_size); Dte=subset(D, D.vocabulary_size+1:length(D)); TrLabelNum(i)=labelnum(Dtr); TeLabelNum(i)=labelnum(Dte); Why would you split the data since you are already providing it seperate training data and testing data? For the valid data isn't the testing done when you submit csv file online? So why would we need to split data into training and testing data set? Line 144-146: % Train a trivial model tic [tr_resu, mymodel]=train(recog_template(recog_options), Dtr); What does ""tic"" mean? So we basically want to change the recog_template code to change the model? MAY HAVE MORE QUESTIONS ABOUT REMAINING FILES.... Thanks!",0,None,9 ,Wed Jan 04 2012 20:01:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1221,/competitions/GestureChallenge,None
/mncoder,Language used,I am a C++ programmer by profession and am new to this type of data mining. I am just curious about what sort of programming languages/environments people would recommend to do analysis of this type of problem? (Keeping in mind I am a newbie when it comes to data mining). Thanks!,0,None,12 ,Wed Jan 04 2012 21:00:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1222,/competitions/DontGetKicked,None
/teaserebotier,"Submission format/feedback help, please?","I made my first two subs today. The first one choked because my newlines were '0A' terminations instead of the text file '0D0A' and I'd put spaces behind the commas for readability. Had to open both the sample linear sub and my own file in a hex editor to see the newline problem, so I changed the output program, and as far as I can tell, the format of my file and the example similar EXCEPT that I use 4 decimals on all prices, and the prices are NOT rounded to the quotation quantum. Both submission files open well under excel, by the way. It would really help to have an exact description of what works and what does not. Am I allowed to have a high precision answer? Can it be in a continuous range or must I round off my prices to the closest penny or half-penny? Time is running out I can't afford trial and error. Neither of my subs see a return screen, I have to reload; the first submission returned the message ""use a csv or zip file format"", as I said, I fixed the newlines. The second file returned the following cryptic error message: ""We've run a quick competition, and found no meaningful pages in your URL dataset."" It would really be nice to get credited 2 submissions, or at least, not have submissions counted until AFTER the parsing is successful. Thank you!",1,None,5 ,Wed Jan 04 2012 21:25:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1223,/competitions/AlgorithmicTradingChallenge,91st
/daveg1,Calculus formluae in output?,Do we need to use your Calculus formluea in our output? If so how to program it?,0,None,1 Comment,Wed Jan 04 2012 23:20:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1224,/competitions/hhp,None
/prmlgreat,running FFgrab problem!,"Dear all: When I run FFgrab. It fails with the message ""not a valid mex,............, not a valid win32 application"" My system is window xp and matlab version is 7.7.0(R2008b) Who can help on this, thank you? Best Frank",0,None,2 ,Thu Jan 05 2012 04:57:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1225,/competitions/GestureChallenge,None
/timveitch,Congratulations to the Winners!,"Well done to all the prize winners! There was a lot of meat to that dataset, so the prize money will be thoroughly deserved! I'm interested to find out what features people found important...and what techniques worked for people... Again, congats!",0,None,34 ,Fri Jan 06 2012 01:21:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1227,/competitions/DontGetKicked,5th
/venki16197,Results for test data,Will the results of test data be made available to public? so that a good dataset will be available for researchers,0,None,8 ,Fri Jan 06 2012 18:25:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1228,/competitions/DontGetKicked,88th
/davidg1,Question on depth data,"I'm starting to look at the Depth data from the kinect. It seems that it's given in a 320 x 240x 3 RGB style format. I'm not sure if I get this right, but R-G-B values for the same depth pixel seems to differs from one another by small values. Not sure where the difference comes from, I'm afraid I'm missing something more fudamental here :) I did not find information beside the depth scaling at the end of the readme for each Batches. From the Readme. set num mini maxi resol acc devel 1 801 1964 76 2 Is there units attached to min/max depth ? (cm and mm does not seems logical) Thanks ! David",0,None,2 ,Fri Jan 06 2012 21:24:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1231,/competitions/GestureChallenge,None
/zachmayer,"Convert the tags string to a 0/1 matrix, with column for each tag","Here's a useful R function to convert the tags field to a 0/1 matrix, with a column for each tag. Right now it's very slow, but I'd love to hear any suggestions you have for improving it. Note that ""Data"" is an arbitray object, such as ""valid_training"" or ""valid_test,"" etc. allTags <- 1:281tagList <- lapply(strsplit(Data[,'tag_string'], ' '),as.numeric)tagList <- lapply(tagList,function(x) as.numeric(allTags %in% x))tagMatrix <- matrix(NA, nrow(Data), length(allTags))system.time(lapply(1:nrow(Data), function(i) { tagMatrix[i,] <<- tagList[[i]] return(NULL)}))colnames(tagMatrix) <- paste('T',allTags,sep='')",5,bronze,13 ,Fri Jan 06 2012 23:18:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1232,/competitions/WhatDoYouKnow,None
/zachmayer,R function for capped binomial deviance,"I dunno if this has been posted here yet, but it's very useful: [Link]:http://www.kaggle.com/c/PhotoQualityPrediction/forums/t/1013/r-function-for-binomial-deviance/6392#post6392",0,None,2 ,Fri Jan 06 2012 23:21:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1233,/competitions/WhatDoYouKnow,None
/podopie,Zeroes found in outcome?,"Hey guys, Curious if anyone's found a determinate for why zeroes exist in the outcome table? I'd say it represents missing data, but if we know the test and question information, as well as a breakdown if the question was answered or not(skipped or whatever the case may be), I'm not sure where these NA values came from (there's about 250 of them). Would love to hear theories/ideas. Thanks!",0,None,3 ,Sun Jan 08 2012 02:12:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1234,/competitions/WhatDoYouKnow,42nd
/del=92525096498f3bbd,Using open source libraries?,Are we allowed to use opensource libraries such as opencv? Thanks!,0,None,4 ,Sun Jan 08 2012 18:50:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1235,/competitions/GestureChallenge,None
/karmicmenace,Winning Algo/Code,"Congratulations to the top winners! It has been a fun competition. Question for kaggle (this is my first competition, so bear with me if it has been answered before). Would Kaggle publish the top winning algo/code ? And it would be nice if there is a way for other competitors willing to share their algo/code with other interested participants.The final swing in the results was interesting! I didn't expect that. May be you should hold another betting competition for each of these to predict the winner :)",21,None,52 ,Mon Jan 09 2012 01:24:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1236,/competitions/AlgorithmicTradingChallenge,74th
/iguyon,"Full dataset released: 50,000 gestures!","We posted additional data on the data page. Altogether we now have 50,000 gestures (480 development batches and 20 validation batches). Note: all the data posted on Kaggle is in a quasi-lossless AVI format. For those of you who have less patience to download, there is a lossy-compressed version available at: http://gesture.chalearn.org/data (and also a pretty color movie I am proud of). We will send USB memory sticks with all the quasi-lossless compressed data at the participant's cost upon request. Send email to events@chalearn.org.",0,None,1 Comment,Mon Jan 09 2012 08:42:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1238,/competitions/GestureChallenge,None
/selina,databatch function in the sample code crashes matlab ,"hi, I have problem with the databatch file. I had tried two version of matlab, R2009a and R2011a. Only once while reading it promotes that : libavbin.so is installed but seems to be the 32bit version. would you like to correct it? After choose Y, the function runs. But all the other times, matlab just crashes immediately while running that function. Could you give me some hint about it? Thank you. Selina",0,None,1 Comment,Mon Jan 09 2012 09:33:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1239,/competitions/GestureChallenge,None
/johnjohnason,How many male and female there are in the data?(release 3),"Hello there, Can anyone tell me, how many male and female there are in the data-release3, because i want to do suppling in smallest data and i use one program that can't count them. Thanks!",0,None,1 Comment,Wed Jan 11 2012 00:20:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1266,/competitions/hhp,None
/blindape,I found this useful.,"[Link]:http://www.tricare.mil/tma/tai/downloads/cpt_codes.xls [Link]:http://en.wikipedia.org/wiki/List_of_ICD-9_codes Don't know if considered as ""external data"" but I would like to share it in application of prize rules.",0,None,2 ,Thu Jan 12 2012 22:40:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1268,/competitions/hhp,3rd
/yarreg,A question about algorithm licensing,"Let's assume that I use some ML system (like SVM or TreeNet) to train a prediction formula. Once formula trained it may be used alone without any ML algorithms. Than what should contain ""Prediction Algorithm"" which is described in rules and for which I should grant full rights to Sponsor? Should it contain only formula or ML algorithm as well? As far as formula (and code which prepares data for it) is enough to use a model for predicting, may I consider it as Prediction Algorithm (alone of ML algorithm used to train it)? Thanks, Yaroslav",1,bronze,8 ,Fri Jan 13 2012 14:32:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1270,/competitions/hhp,None
/cbusch,First Milestone Solution,"This question pertains to the solution provided by Market Makers. Their modelling_set table appears to present the data in a manner that only include variables for a single year in the model. So, Y1 claims are used to predict Y1 LOS and Y2 claims are used to predict Y2 LOS. Would it not be beneficial to use both Y1 and Y2 claims to predict Y2 LOS?",0,None,1 Comment,Sat Jan 14 2012 17:11:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1272,/competitions/hhp,266th
/boooeee,Leaderboard Sidebar Issue?,"I logged in today and noticed that it listed me as 7th in the sidebar leaderboard.. But if you click through to the actual leaderboard, I found my expected rank of 14. Anybody else seeing this kind of discrepancy?",0,None,2 ,Sat Jan 14 2012 23:30:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1273,/competitions/hhp,16th
/vielauge,Hard first day with R -,"Dear Listeners, I had a hard first day with 'R'! (half day with importing the data and another half day with the following beginner problem:) Backround: The last ten year I worked with SAS (work) and the change to R is not so easy. Used to data steps I was not able to do some really easy computing and merging. What I was trying to do: Computing the mean question difficulty for each question_id with 'questiondiff<-tapply(training$correct,training$question_id,mean)' So far so good, the result is a vector with the right numbers, but I am not able to get the second dimension for merging it (1 to many) with the original training data by question_id for further steps. Do I have to tell tapply that I still need the question_id? Or maybe I am just to stupid for merging in R and there is no dimension problem at all...and so all the Ideas in my head for the real job have to wait.... I hope somebody can give me a hint. Thanks for your time. For me it's bedtime. Good night. Greetings from Germany- Vielauge",0,None,4 ,Sun Jan 15 2012 02:22:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1274,/competitions/WhatDoYouKnow,155th
/mattfrancis,A (possibly stupid) question about RF,"Hi All. I haven't used random forests much before (I only heard of it via the Give Me Some Credit competition), but I have a question about using it for regression. This seems as good a place to ask as anywhere else on the internet! It appears that when in regression mode, each potential split is examined using MSE to see the optimal predictor to use for that split and where to place the treshold. This assume a specific (Gaussian) error distribution for the data. However, when using this tool for binary predictions, MSE is not the best measure. Instead the Bernoulli distribution ought to be used, at least that's what I would like to be able to do. Other circumstances may call for other distributions. If you compare this to say using a linear model instead of an RF, one would want to use a GLM with an appropriate error distribution if the predicted variable was binary, rather than using a simple least squares. So my question is firstly, does my question make sense? Have I misunderstood the workings of RF in regression mode? If there is some semblance of sense in the question, does anyone know of an implementation of random subspace methods that is essentially the same as RF, but allows any arbitrary function to be provided for evaluating the 'best' split when constructing trees?",1,bronze,8 ,Mon Jan 16 2012 03:51:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1276,None,None
/del=92525096498f3bbd,Having trouble connecting kinect to ubuntu,So I finally went out and bought a kinect! Woot! I have version 10.10 on ubuntu but I think there is a problem with the usb connection. I have tried all the usb ports on my machine. The light on the kinect is blinking. Error message says 0 devices connected when i run glview from the bin directory. Also tried sudo command. Wonder if I have the wrong version of libusb? aniket@ubuntu:~$ lsusb -V lsusb (usbutils) 0.87 Here is output when I run lsusb -sv with device name: Bus 002 Device 007: ID 045e:02b0 Microsoft Corp. Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 2.00 bDeviceClass 0 (Defined at Interface level) bDeviceSubClass 0 bDeviceProtocol 0 bMaxPacketSize0 64 idVendor 0x045e Microsoft Corp. idProduct 0x02b0 bcdDevice 1.05 iManufacturer 1 Microsoft iProduct 2 Xbox NUI Motor iSerial 0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 18 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xc0 Self Powered MaxPower 100mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 0 bInterfaceClass 255 Vendor Specific Class bInterfaceSubClass 0 bInterfaceProtocol 0 iInterface 0 Device Status: 0x0000 (Bus Powered) I believe device status should be 0X0001? Any help appreciated.,0,None,3 ,Mon Jan 16 2012 20:24:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1278,/competitions/GestureChallenge,None
/robert2012,How is this possible?,There are a few thousand people with a claim in year 2 who have claims with fields set as follows: Speciality: Surgery PlaceSvc: Ambulance Length of stay: 1 day Nearly all have a three or four letter procedure code beginning with 'S' - i.e. confirmation they had surgery. How can it be that so many have DIH as zero? The only thing I can think of is that they died after the surgery but before they spent a full day in hospital.,0,None,4 ,Tue Jan 17 2012 11:30:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1281,/competitions/hhp,None
/zachmayer,Calculating the probability that a patient associated with an entity will visit the hospital,"In their [Link]:https://kaggle2.blob.core.windows.net/competitions-data/hhp/2496/Market%20Makers%20-%20Milestone%201%20Description%20V2.pdf?se=2012-01-17T18%3A06%3A25Z&sr=b&sp=r&sig=tgKTgtP1%2FVQ%2BQOCasq%2B6ATuLfpwhNcyAXrj8YyxYcNQ%3D, the team ""market makers"" say the following on page 13: For each Primary Care Physician (PCP), Vendor and Provider, a value was calculated that was the probability that a patient associated with the entity would visit hospital. Each patient was then allocated the highest probability of all the PCPs (Vendors or Providers) that they were associated with, generating 3 fields in total. I'm trying to replicate their methodology. Is this probability only calculated using the claims data, or is the actual days in hospital for the next year merged in as well? Here's my first shot at this. I've already read in the claims data, converted LengthOfStay to numeric, and replaced missing values with zero: library(plyr)Claims$visit <- as.numeric(Claims$LengthOfStay>0)providerProbs <- ddply(Claims,c('ProviderID','Year'),function(x) c('prob'=mean(x$visit)), .progress='text') The result is the percent of visits to a given provider that resulted in hospitalization: > head(providerProbs[providerProbs$prob>0,],10) ProviderID Year prob29 12890 Y1 1.000000056 23379 Y1 0.529411857 23379 Y2 0.722222258 23379 Y3 0.416666797 40154 Y1 0.428571498 40154 Y2 0.571428699 40154 Y3 0.5000000466 173881 Y1 1.0000000467 173881 Y2 0.9375000468 173881 Y3 0.5600000 Am I on the right track? Or should I be using the ""DaysInHospital"" table, rather than ""LengthOfStay"" in the claims table?",0,None,2 ,Tue Jan 17 2012 20:31:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1282,/competitions/hhp,9th
/shaz24,Reducing the bias in the baseline model,"In my opinion the mixed effects model in the benchmark is an underfit for the item difficulty and the student ability parameters. This is because each student only answers a small subset of the questions in a track(or sub-track). So, the student vs question-answered matrix is highly sparse and might lead to a high bias estimate. I feel that the estimates could be more accurate, if you find dense sub-regions of the matrix and then apply the parameter estimation techniques within each sub-region. Has anyone tried something like this? Any thoughts?",0,None,1 Comment,Wed Jan 18 2012 15:29:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1283,/competitions/WhatDoYouKnow,147th
/benhamner,External Data,"As the [Link]:http://www.kaggle.com/c/asap-aes/details/Rulesstate, [quote] You are free to use publicly available dictionaries and text corpora in this competition. If you would like to use any other external data source, verify that this is permissible by posting in the forums or sending a private message first. Please use this forum thread to check whether additional external data is permissible. Also, feel free to let other competitors know what text corpora or dictionaries you have found useful here!",0,None,38 ,Fri Jan 20 2012 03:09:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1287,/competitions/asap-aes,None
/mohit29765,package ‘ime4’ is not available (for R version 2.14.1) ,I am very new to R. and i am getting this error when i try to install ime4 package on R. Any help will be heartlt appreciated,0,None,4 ,Fri Jan 20 2012 03:41:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1288,/competitions/WhatDoYouKnow,43rd
/wcukierski,Scoring Metric Verification,The scoring metric for this contest is a little more involved than most! It would be helpful (and probably prevent many redundant forum posts) if Kaggle could post a dummy submission and its weighted kappa score for the training data we have. That way we can know the evaluation code is correct. Thanks!,0,None,18 ,Fri Jan 20 2012 05:02:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1289,/competitions/asap-aes,2nd
/pixelm,Looking to join a team,"Hello, I am looking to join someone's team. Please contact me if you would like an additional member on your team. Regards Mansi",0,None,18 ,Fri Jan 20 2012 17:40:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1290,/competitions/WhatDoYouKnow,43rd
/martinoleary,Truncated essays?,"From a quick glance at the data, it looks like there are a number (~170) of essays which are truncated at 255 characters. A good example of this is essay 472, which receives a full 12 marks, despite consisting of just a sentence and a half. Is there any chance of an update to the data which fixes this issue, or should we just work around it, and treat it as a normal data cleaning problem?",2,bronze,9 ,Fri Jan 20 2012 18:23:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1291,/competitions/asap-aes,6th
/benhamner,Data Set Releases and Updates,"We'll be using this thread to announce any modifications to the data sets, along with additional releases. In order to keep this thread clean, please start a new thread for any issues you may find with the data, or any questions that you have (e.g. [Link]:http://www.kaggle.com/c/asap-aes/forums/t/1291/truncated-essays)",0,None,3 ,Fri Jan 20 2012 22:14:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1292,/competitions/asap-aes,None
/challengeadmin,10 more free Kinects!,"If you have not already won a free Kinect, here is your chance! We are offering 10 more free Kinects to the first 10 people who are first at some point on the leaderboard, starting January 20, 2012 (today). Each participant can only claim 1 free Kinect (so if you won one already, or if you are several times first on the leaderboard, you cannot get a second free Kinect). To clain your prize, send to events@chalearn.org a screenshot of the leaderboard showing your entry and indentify your entry. To address the concern of ""cheating"" by manual labeling, we will then ask you to send us your code for checking. If you do not want to send your code, you cannot win a free Kinect this time...",0,None,4 ,Fri Jan 20 2012 22:23:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1293,/competitions/GestureChallenge,None
/edramsden,Didn't you always suspect this is the case?,When I was in high school I never did very well at essays and reports. I always suspected the grades were given out on the basis of verbiage rather than content. After making a scatter plot of Score vs. Length (in characters) I no longer suspect this - I am certain!!!! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1790/Score_vs_Length.gif [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1791/Score_vs_Length.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1792/Score_vs_Length.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1793/Score_vs_Length.gif,0,None,11 ,Sat Jan 21 2012 00:41:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1294,/competitions/asap-aes,25th
/ohanegby,Good new for students?,I guess that automatic essay checker can also enable high scoring automatic essay writer. Maybe we should expect a follow up kaggle competition :),0,None,6 ,Sat Jan 21 2012 08:14:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1295,/competitions/asap-aes,None
/blindape,Public leaderboard vs private,Could anyone post the private leaderboard scores at milestone 1? I found the public [Link]:http://www.heritagehealthprize.com/c/hhp/Leaderboard?asOf=2011-08-31%2006:59:59 but interested in correlation with private. What are your experiencies with correlation in your cv test results and private leaderboard. Are sistematically worse a 2-3% aprox?,0,None,1 Comment,Sat Jan 21 2012 12:42:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1296,/competitions/hhp,3rd
/wcukierski,"Adjudication, raters, and predictions","Hey Ben, three questions: 1) In some of the essays, there is a 3rd person who steps in if the ratings are not adjacent, If the two scores are non-adjacent, the final score is determined by an expert scorer. If Reader‐1 Score and Reader‐2 Score are not adjacent or exact, then adjudication by a third reader is required. etc. In such a case, reader1 and reader2 scores are completely ignored? 2) Am I correct in assuming reader1 and reader 2 are different people both within essay sets and across essay sets? 3) Clarifying the prediction task: we are to generate one integer ""resolved"" score for each essay's domain 1, as well as domain 2 scores for essay set 2? Does this mean there will be 2 rows per essay for set #2? Thanks!",0,None,6 ,Sat Jan 21 2012 19:36:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1297,/competitions/asap-aes,2nd
/mohit29765," could not find function ""%dopar%"" ","Hello guys, i am new to R. while using bigmemory + foreach i have encountered this error - could not find function ""%dopar%"" can anyone help me with this? Here is code i am using #importing packages install.packages(""bigmemory"")install.packages(""biganalytics"")library(bigmemory)library(biganalytics) #filling featureUsersAbility Matrixforeach(user=users)%dopar%{ foreach(feature_name=feature_names)%dopar%{ feature=strsplit(feature_name,"" "") print(feature) #here we are simply putting the correct/total in usersability totalRecords=mwhich(training,c(""user_id"",feature[[1]][1]),list(user,feature[[1]][2]),""eq"",""AND"") correctRecords=mwhich(training,c(""user_id"",feature[[1]][1],""outcome""),list(user,feature[[1]][2],1),""eq"",""AND"") print(totalRecords) print(correctRecords) if(length(correctRecords)>0){ feature_UserAbility[user,feature_name]<-length(correctRecords)/length(totalRecords) } }}",0,None,6 ,Sun Jan 22 2012 05:46:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1298,/competitions/WhatDoYouKnow,43rd
/benhamner,Invalid Essays,"Six out of the eight essay sets were originally handwritten and subsequently transcribed for the purposes of this competition. Any essays containing a fair amount of illegible words should have been flagged and removed from the data. However, the transcription instructions were not followed with 100% fidelity, and some essays in the dataset may contain transcription errors. We have opted to leave essays containing a small amount of illegible words in the training data - you can choose to include these in developing your models or discard them. Many of these can be identified by searching for a series of three question marks (""???"") or the word ""legible."" This should only affect a small percentage of the training data. (Note: if you are searching Excel for ???, Excel treats ? as a wildcard in searches, and ~?~?~? should be used to search for the ? character). A very small percentage of the training data may contain essays that were neither transcribed nor properly flagged for removal. An example is essay 9780 in set 4, where the essay states ""Reserved need to check keenly."" This appears to be a comment inserted by a transcriber and bears no relations to the handwritten essay text. This essay, and any others along these lines, should be removed from the training set. Use this forum thread to identify any other suspicious essays that you come across, and they will be removed in the next release of the training data if necessary. The validation and test sets should contain only essays that were fully transcribed.",0,None,15 ,Sun Jan 22 2012 21:41:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1299,/competitions/asap-aes,None
/mattfrancis,Troubling Premise,"I hope I don't come across as a complete Luddite here, but the entire premise of this competition is deepy disturbing. No matter how clever the winning solutions end up being, there is no way an automated marking system could reward a very good but very unique respose to a question. By training a system on a set of responses, rather than having any idea what the question is actually asking, you can by definition only be rewarded by providing a response that is in some way similiar to other high ranking responses. Those 'outliers' that provide such a unique and innovative response might at worst be penalised for being too clever, or at best recieve an arbitrary, essentially random, score. To me, this is entirely against the intellectual spirit of this site, which places innovation above all else. Imagine trying to write an automated system for ranking a Kaggle competition submission, based on the source code that produced the submission compared with the source code and leaderboard score of previous submissions. I'm sure a system could be built in this way that would reward pretty good solutions using standard techniques, but would be most likely to not recognise the very best, most innovative solutions. An education system that used an automated marking system for essays might be able to churn out students with very good SEO skills and promising careers ahead of them writing copy for about.com, but would be unlikely to produce future Kaggle competition winners!",1,bronze,14 ,Sun Jan 22 2012 23:01:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1300,/competitions/asap-aes,None
/del=92525096498f3bbd,Anyone figure out a way to read the avi file in C#,"Since Microsoft SDK is in C#, I was trying to code in C# but ran into issues of finding a library to read the avi file in C#. OS: Windows 7 Arch: x64 Visual Studio 2010 I tried the following:Emgu and [Link]:http://code.google.com/p/aforge/ but it failed to read avi file, so looks like I am going to have to write my own wrapper for opencv from C++ to C#. Anyone have any other suggestions for libraries? Thanks! Aniket",0,None,12 ,Tue Jan 24 2012 06:52:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1302,/competitions/GestureChallenge,None
/benhamner,Welcome!,We're very excited to launch the Benchmark Bond Trade Price Challenge! Please let us know if you have any questions about the data or competition setup.,0,None,2 ,Fri Jan 27 2012 03:12:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1303,/competitions/benchmark-bond-trade-price-challenge,None
/dhwanit0,HPN Usecase,"Hello, Can anyone describe about the purpose which can help to understand how the HPN Claims Predictions can benefit the community as well as business organizations at large ? Can anyone suggest a solid business use case scenario where the result can be applied specifically to increase ROI ? Thanks",0,None,3 ,Fri Jan 27 2012 11:28:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1304,/competitions/hhp,None
/thomasgenevois,capped binomial problem,"Hello, We have the problem with the following: When we perform the learning, and calculate the capped binomial we get one value, which is pretty good. However, when we submit this result, its value on the website is different, much worse. This isn't an unique case, we tried testing our learning algorithm with different datasets and obtained the capped binomial around 0.25 and it varied very little for those different datasets. When we submitted these results, on the website it was around 0.31 We checked our capped binomial calculation function with the example given online (chess competition) and it was ok. We think it could be connected with the way of submitting the results. Does anyone have any idea what could be the problem? TIA",0,None,4 ,Fri Jan 27 2012 19:10:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1305,/competitions/WhatDoYouKnow,213th
/salimali,Supplying Code,"1. Winning participants are required to provide code Can you elaborate on this please. Is this just to confirm the winning solution works and then erased, or is our code being 'bought' in return for the prize money. Does this mean all submission have to be hand coded from the ground up? Cheers",0,None,11 ,Fri Jan 27 2012 21:26:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1306,/competitions/benchmark-bond-trade-price-challenge,None
/params,Unable to open .mat files,"Hello Folks, I am pretty new to Kaggle and this is my first competition. I am unable to open the datasets (.mat files) on my mac. Clearly they are not in text format, can you tell me how can I open and view it? Or probably export it in some way to a .csv/.arff etc? -- Thanks, Params",0,None,4 ,Fri Jan 27 2012 23:18:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1307,/competitions/uci77B,None
/sankalp,Point 3 in the rules,The point 3 in rules is not very clear. Can you please elaborate on what cannot be done? 3. Participants must not attempt to reconstruct full time series data out of the trade examples and previous 10 trades. Doing so in order to obtain the trade price of the test data will be considered cheating and such entries will be disqualified and not considered for a prize. Regards,0,None,8 ,Sat Jan 28 2012 05:39:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1308,/competitions/benchmark-bond-trade-price-challenge,None
/kolo30502,What is the unit of delay,received_time_diff_last1 = 68185 is that 68185 milliseconds or microseconds?,0,None,1 Comment,Sat Jan 28 2012 09:11:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1309,/competitions/benchmark-bond-trade-price-challenge,None
/moysz28232,Usage of Data File,"Hi, All Sorry it may seems stupid . It's my first time here ,not seeing any explaination about the data file test // is the history bond trading data ? we base this data to build up model ? is this also history bond trading data ,but used to evaluate the accracy of models we build ? train // is this bond trading data used for Machine learning / AI training ? for me they are all history data with no difference ..is that right ? Thank you in advance for explaining this .",0,None,2 ,Sat Jan 28 2012 17:57:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1310,/competitions/benchmark-bond-trade-price-challenge,None
/moysz28232,"Column ""Weight""","Hi, All weight: The weight of the row for evaluation purposes. This is calculated as the square root of the time since the last trade and then scaled so the mean is 1. That means weight data should NOT be in algo that predicts the data or be part of parameters of models we build ? We shouldn't use Weight in any way ,right ?",0,None,13 ,Sat Jan 28 2012 18:03:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1311,/competitions/benchmark-bond-trade-price-challenge,None
/roseyland,Trade Times,"I have a question about the received_time_diff_last{1-10} parameters. These are the times between the actual trade time of the trade we are trying to precict, and the actual trade times of the last 10 trades. These are not trade reporting times. Is that right? In other words, to calculate the time between the the trade and any of the previous 10 trades, I only need the received_time_diff_last parameters, and I do not need to use the reporting_delay parameter. Correct? Out of curiosity, does anyone see much value to the reporting_delay parameter? If we are just trying to predict the trade price, what difference does it make how long it took before the trade was reported after it had already occured. I suppose it's possible there is a correlation between certain types of trades and their reporting delay, but this seems unlikely to me.",0,None,3 ,Sat Jan 28 2012 19:16:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1312,/competitions/benchmark-bond-trade-price-challenge,52nd
/moysz28232,Using External Data ?,"Hi, all Can we use external data ,such as historical yield curve of T-Bond , T-BIll , interest rate / repo rate ? or we only can use data provided and cal needed Quasi reference data on ourselves ? Thank you for explainantion",0,None,3 ,Sun Jan 29 2012 05:54:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1314,/competitions/benchmark-bond-trade-price-challenge,None
/smcinerney,"Clarifications of received_time_diff, reporting_delay and curve_based_price","For those of us who know nothing about bond trading, could you please clarify the time-related quantities and the trading behavior: Q1) Please define the following two quantities and how they are interrelated to each other (show us an example with sample times in seconds, labeling each event): * reporting_delay: The number of seconds after the trade occured that it was reported (reported to whom? all other traders? What sort of effect would this have on trading in the bond? Would other (human) traders have guessed or interpolated the trading behavior, or stopped trading this bond? reporting_delay is negative for 30759 records, and for a few outliers it's > +873500000 sec (2.77 years?!), are those meaningful or dirty data? How to treat them?) * received_time_diff_last{1-10}: The time difference between the trade and that of the previous {1-10}. (How is that related to reporting_delay, should we offset by reporting_delay, which reported prices are other traders seeing at which exact time? Or is that not relevant?) ( weight: This one is clear. The [Link]:http://www.kaggle.com/c/benchmark-bond-trade-price-challenge/details/Evaluation. I would have called that Weighted MAE, but hey. (Also the [Link]:http://www.kaggle.com/c/benchmark-bond-trade-price-challenge/forums/t/1311/column-weight/8326#post8326, that it's a proxy for the normalized value of: constant * sqrt(receivedtimediff1+1) ) Q2) For rows with NA for some or all previous trades, does that mean received_time_diff > some large threshold? or just that the data is missing? Q3) Also, how do these timings affect when curve_based_price is calculated, and at what time it is provided and to whom? Is it retroactively calculated for trades with large reporting_delay? Is curve_based_price your suggested fair price of what trade would be accepted at that time? If we graph curve_based_price vs trade_price over the window (received_time_diff), what does that tell us? Thanks",0,None,18 ,Sun Jan 29 2012 12:06:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1315,/competitions/benchmark-bond-trade-price-challenge,None
/holzner,questions answered multiple times by same user ?,"It looks like there are entries indicating that the same user has answered the same question more than once, e.g. user_id = 85818 and question_id = 3989, with different outcomes (the variable training is filled by the R benchmark script): training[training$user_id == 85818 & training$question_id == 3989, ] correct outcome user_id question_id track_name subtrack_name32 0 2 85818 3989 5 14218 1 1 85818 3989 5 14 Is a question uniquely identified by the question_id or is the value of another column needed ?",0,None,3 ,Sun Jan 29 2012 18:34:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1316,/competitions/WhatDoYouKnow,99th
/vishalsurana,Some questions regarding dataset,"Hello, I was trying to model the data, and have several questions: (1) curve_based_price: A fair price estimate based on implied hazard and funding curves of the issuer of the bond. Is this the estimated price of the bond at the time of maturity? Can you illustrate with an example? (2) We are given coupon rate and time to maturity for the trade price for only one trade (in a given row). I would imagine that the bond prices during the last 10 trades will also have been affected by these parameters. Will not having this data result in a model which may be good for competetion purposes, but not accurate in real life? (3) I would imagine that the data consists of bonds issued by several companies, and hence will exhibit different behavior for different values of coupons, maturity times, etc. There appears to be no direct way of grouping the data based on this particular fact. (4) Does ""customer buy"" mean that a non-dealer bought the bond from a dealer? What is the trade type if ""customer buys from customer (who sells)""? (5) If past trading data is NA, is it the case that the data was taken at the time markets opened for trading? Missing data (how?)? Just curious to know what could be the reasons behind this. (6) What are the reasons behind ""reporting delays""? For e.g. is it correlated to the type of trade, or maybe trade between dealers have smaller reporting delays? (7) Is this data taken from a week's worth of trade? Month? What is the sampling window?",0,None,2 ,Mon Jan 30 2012 09:30:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1317,/competitions/benchmark-bond-trade-price-challenge,253rd
/jfister,More Truncated Essays,"Looks like the updated data set is still full of truncated essays. For example, check out essays 18, 210, 314, 349, .... (hundreds more) Looks like it often gets cut off at an apostrophe, but also just sporadically.",0,None,2 ,Mon Jan 30 2012 20:41:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1318,/competitions/asap-aes,3rd
/jfister,Submission Process,"I apologize if this is a dumb question. I've not participated in any other Kaggle competitions, so I'm hoping to better understand the submission process. In the External Data thread, Ben stated, ""For the verification process, we will apply the submitted models from the top 3 preliminary winners to the test data, and check that we can reproduce the test submissions with these models"". This begs the following questions: 1) Are we confined to a particular programming language or environment? 2) Are we supposed to submit something that is as simple as running a shell script? For example, I'm using Ruby for this task, and when all is said and done, generating the final predicted data set will involve importing the test data into a database, extracting the features, and running the predictive models. These steps will involve an environment that includes Linux, MySQL, various Ruby libraries, interfaces with open source packages, etc. From the description, it almost sounds like Kaggle is expecting a self-contained, executable jar file that can be run. Could anyone shed some light on how this process works and what needs to be submitted? If there's already documentation on this somewhere, feel free to point me to it and I'll give it a read. Thanks in advance!",0,None,8 ,Mon Jan 30 2012 22:24:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1319,/competitions/asap-aes,3rd
/rkirana,kinds of sampling techniques,"I was wondering what are the different sampling techniques that are being used for validation set? We have valid_training.csv - and to create a validation file from this, I am doing the following: Take the last question that was answered by each user and put it in validation set. Keep the remaining in training. What are the other methods that users have found effective? (of course for testing, we can use valid_test.csv)",0,None,1 Comment,Tue Jan 31 2012 15:05:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1321,/competitions/WhatDoYouKnow,150th
/yogurt,id on matlab files,Is the ID column on the matlab(.mat) files correct? The order of the ids seem scrambled.,0,None,1 Comment,Wed Feb 01 2012 05:25:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1324,/competitions/benchmark-bond-trade-price-challenge,18th
/tritonsd,Helpful Literature,[Link]:http://grockit.com/blog/main/files/2010/02/grockit_2011_methodology_whitepaper.pdf,0,None,3 ,Wed Feb 01 2012 08:06:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1325,/competitions/WhatDoYouKnow,5th
/bcragin,Conference on 3/30,"According to the Prizes link, ""... one or more of the leading teams may be invited to participate in the Third Stanford Conference on Quantitative Finance on 3/30/2012"", suggesting a possible interim prize. When will this decision be finalized, and how would the selections be made, e.g., based on public/private leaderboard scores?",0,None,1 Comment,Wed Feb 01 2012 19:39:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1328,/competitions/benchmark-bond-trade-price-challenge,2nd
/benhamner,Modification of Competition Data and Format,"Hi all, We realized that there was a sampling issue with the test data: windows in the test set were not disjointly sampled from the original time series, so these may overlap with windows in both the testing and training sets. I've attached a quick python script that highlights this issue: it obtains a WMAE of 0.21946 simply by matching windows from the test set to overlapping windows from the training set. (This script is fast and basic, and the results could be easily improved). For comparison, the current leaderboard score is 0.95695. I was concerned that this would lead to solutions that overfit the test set, as well as damaging the fairness and integrity of this competition by providing the solutions to the majority of test points. In order to preserve the integrity of the competition and help ensure that constructed models aren't overfitting the final evaluation set, Benchmark Solutions is preparing a new set of data based on bond trades that occurred during a different time window. The training data will consist of the full time series for these trades up to a certain point, linked by the corresponding bond. The test data will consist of disjoint windows of 10 trades that occur after the cutoff for the training data, and you will be predicting the next trade. Any point in the time series for the test set will only appear once in the data. The current competition setup will remain active while the new data is prepared, as you can continue to use it to develop your models. If you have any suggestions or modifications on the new competition structure, please let us know. I apologize for any disruption this modification causes, and wish all of you the best luck in developing your models! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1855/make_cheating_submission.py",5,bronze,16 ,Thu Feb 02 2012 21:18:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1330,/competitions/benchmark-bond-trade-price-challenge,None
/raindog308,What exactly does DSFS mean?,"The DSFS column in claims is described as ""days since first service that year"" and ""Days since first claim, computed from the first claim for that member for each year"". It's not clear to me exactly what this means. For example, let's say DSFS for a claim is ""1-2 months"" and the Year is 2. Is the purpose of this field to sequence claims by the same MemberID in a year? i.e., so that if you have one that's ""1-2 months"" and one that's ""3-4 months"", you know the order they came in. If so, that makes sense, but the language is a little confusing.",0,None,1 Comment,Thu Feb 02 2012 22:05:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1331,/competitions/hhp,None
/hate5six,Bad faith essays?,"Hi, Is it known whether or not these essays were assessed with some pre-existing automated essay rater (and the scores were subsequently witheld from the dataset)? I'm most curious as to whether or not the authors were aware that there would be an automated grader. While it seems like this is not the case based on the information/description provided, I'd like to make sure there are no ""bad faith"" essays--written with the intent of fooling of the autograder to receive a higher score than deserved. Thanks in advance for the clarification. - Sunny",0,None,1 Comment,Fri Feb 03 2012 07:41:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1332,/competitions/asap-aes,None
/davec6371,Stochastic Gradient Descent (a la Willem M),"Hi I've read through Willem's (excellent) Milestone 1 winners paper a few times, but I'm a bit stumped by some aspects.... The model SigCatVec1 (and many others) uses a 'feature vector of dimension 12' for each category (ie for each of 131 possibles). So there are 12 numbers for e.g. ""AgeAtFirstClaim=50-59"". These are initialised randomly from -0.01 to +0.01. That is fine, and each applicable category's feature vector is summed up, sigmoidified, and then dot producted against a single set of 12 'score' numbers. But how are these 'score' numbers updated? What is the algorithm and learning rates for them? Can someone take a stab at describing the update rules for both the f_i and s_j members for SigCatVec1? Thanks a lot Dave",0,None,1 Comment,Sun Feb 05 2012 12:06:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1333,/competitions/hhp,313th
/mtantawy,set 1 - domain 1 score,"I am sorry if I am missing something but I thought that domian1_socre is the resolved score if raters did not agree. But when I looked at set 1, I see that it is the sum of scores, is that right?",0,None,3 ,Sun Feb 05 2012 19:23:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1334,/competitions/asap-aes,32nd
/sethwayland,What happened to the Submissions and Leaderboard?,"It looks like there are some issues with this competetion. The Submissions page is asking for a dataset with exactly 61,146 rows, while the test data in the download has 615,162 rows. When I submit, it shows many.many errors. My previous submissions, which were working last week, are now also showing errors. I tried downloading the test and training datasets again (in .zip format), but it is identical to the one I downloaded at the start of the competition, so no help there. In addition, the Leaderboard has totally rearranged, it now shows only a few of the teams, and most submissions show unlikely mean absolute error. What is going on? When will this be fixed? Is there only one of the datasets on the downloads page that is the correct one? If so, which one is it?",0,None,4 ,Mon Feb 06 2012 19:21:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1337,/competitions/benchmark-bond-trade-price-challenge,105th
/danglaser,Rules Change with Relaunch,"With the relaunch of this competition, we have made the rules more permissive. Specifically, the training data is now in order and contains bond_id to aid you in reconstructing a full time series per bond if you so desire. The training data also includes every trade as a row, so each row contains the previous row as its most recent lagged trade. The test data contains no bond_id, is not in order, and does not have overlapping rows. We believe that this change makes the rules simpler, easier to enforce and more logical. Please let me know if you have any questions or concerns. -Dan",1,bronze,1 Comment,Tue Feb 07 2012 17:36:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1339,/competitions/benchmark-bond-trade-price-challenge,None
/mrkaggler,Gestures boundaries in Training data,"Hi, Is it possible to get gesture boundaries (start and end frame numbers) for training data (development set). Right now, we only have information of what gestures are being performed in a video. I know, its possible to extract the information automatically, but if we could get the exact information from you that would be greate. Thanks",0,None,3 ,Tue Feb 07 2012 18:16:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1340,/competitions/GestureChallenge,4th
/karmicmenace,Resubmission issues,"I am having trouble whenever there is a submission issue with the challenge results (has happened couple of times). For example, today kaggle pointed out there are issues with the submission data (which was correctly flagged since my csv file didn't have two columns). There was an option along the lines of ""Go back, fix it and resubmit"". I tried it and fixed it, but the first erroneous attempt ended up being accounted for as well (which as far as I can tell was not a ""submission"" since I chose the option to go back ). Could you take a look to see if you are accounting correctly ?",0,None,3 ,Tue Feb 07 2012 23:13:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1341,/competitions/benchmark-bond-trade-price-challenge,65th
/chris46,Can we get the skeleton's from the Kinect SDK as well?,"Sorry if this has already been asked. Since the data is coming from a Kinect sensor, it would be really helpful to get the skeleton data in the video, which the SDK can't get based solely on the video. Could this be included in the data, or no?",0,None,7 ,Wed Feb 08 2012 13:44:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1343,/competitions/GestureChallenge,None
/atlas100,Meaningful AUC differences,"I participated for the first time in the Give Me Some Credit competition. I placed 598th with and AUC of 0.858781,while the first place team had an AUC of .869558, a difference of 0.010777. How much better is the winning model than mine? Is it a marginal improvement or so superior as to make using my model in a true credit assessment application laughable? I originally posted this comment in the general forum but received no responses. Thanks for helping me understand, Allyen",1,None,3 ,Wed Feb 08 2012 15:34:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1344,/competitions/GiveMeSomeCredit,559th
/jjjjjj,Clarification on Rule D-12,"""Once an Entry is selected as eligible for a prize, the conditional winner must deliver the Prediction Algorithm’s code and documentation to Sponsor for verification within 21 days. Documentation must be written in English and must be written so that individuals trained in computer science can replicate the winning results. Source code must contain a description of resources required to build and run the method. Conditional winners must be available to provide assistance to the judges verifying their Entries"" Consider and entry that uses a search heuristic (e.g. generic algorithm, hill climbing, etc.) to do pre-processing. For example, one may use a search heuristic to generate 50 pairs of feature subsets and classifier choices based on some fitness measure. Then say those 50 constituent classifiers are trained on their assigned subset of features, and used to generate predictions. Finally, the 50 sets of predictions are combined using an ensemble method such as stacked regression. The ambiguity is there doesn't seem to be a restriction on computing resources required to recreate a winning entry. For example, suppose: 1) each heuristic search required 24 hours processing time (on a high-end workstation). 2) training each constituent classifiers required 2 hours processing time. 3) the final ensemble required 4 hours processing time. If the Sponsor required full recreation of the winning entry from contest data, then 1304 computing hours are required or about 54 days. Is it reasonable to assume that Sponsor will wait almost 2 months for verification? The rules are unclear here! If the Sponsor required only recreation from the selected feature subsets and classifier choices (using the output of the preprocessing steps as a starting point), then verification is reduced to 104 hours or about 4 1/3 days. Or perhaps it is sufficient to also validate only a small sample of preprocessing steps which couple be completed a few days. But again the rules are unclear here. This is ignoring the impact of parallel computing, for example, perhaps the Sponsor has ample computing resources and can fully recreate the winning entry in 48 hours using a farm of 100 workstations. But is it the contestant's or the Sponsor's responsibility to identify and implement the parallel computations? Basically, I don't want to run a program on my workstation for 2 months to generate an entry and be disqualified on a technicality. Thanks! Jim",0,None,2 ,Wed Feb 08 2012 16:17:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1345,/competitions/hhp,113th
/dansbecker,Essay text encoding,"I'm looking at the training_set_rel2.tsv file, and some of the punctuation marks are showing up as weird characters I've never seen before. Essay sets 1 and 2 seem fine. Essay 5979 is the first where I have a problem. The third sentence starts with the character ﾓ Almost all of the quotation marks and apostophres are being shown as weird symbols from this point on. Is anyone else getting this problem? Do we know what characterset is being used, so I can convert it to unicode? Thanks, Dan",0,None,6 ,Wed Feb 08 2012 18:29:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1346,/competitions/asap-aes,152nd
/boogpipp,tag_string variable,"I may have missed this in the forum, but how are we supposed to interpret the tag_string variable? I know we were given the labels in the category_labels file, but how do I interpret a value like this 192193207 or this 219222227232240000?",0,None,2 ,Thu Feb 09 2012 15:29:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1347,/competitions/WhatDoYouKnow,None
/onemillionmonkeys,Unsupervised Training on Final Evaluation Data,"When we are given the final evaluation data, will it be permissible to perform some sort of unsupervised training procedure that looks at all the videos in a given batch, prior to producing results for that batch? As far as I can tell, there is nothing that prohibits this, so it seems it should be OK, but I would like to confirm. Again, this would be unsupervised - there would be no manual labelling of this data.",0,None,2 ,Thu Feb 09 2012 20:22:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1349,/competitions/GestureChallenge,3rd
/evangelos2,Linking Gravatar to Kaggle issue,"I have been trying to link my Gravatar account to my Kaggle account in order to get my profile picture updated. It doesn't seem like its working though. Both account are registered with the same e-mail address, which is how I initially thought the two would have beenlinked together. Is there something more I need to do? I have tried cleared my cache, but still nothing.",0,None,14 ,Thu Feb 09 2012 21:44:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1351,None,None
/vikpar,Selection criteria for private competitions,"First of all, I apologize in advance if this has been covered somewhere. I poked around this forum and the internet and could not find anything other than a few clues. It appears that private competitions are being held on an ongoing basis. What is not clear is how competitors are selected for these competitions. Is there an objective metric that Kaggle uses (perhaps similar to the recently defunct user ranking method)? Is it at the discretion of the competition organizers? Although I fully understand if this information cannot be divulged, given the general transparency found on Kaggle and the meritocratic approach to problem solving that is emphasized, it would help to have a rough idea of what the selection criteria are. Thanks for your time.",1,None,2 ,Sat Feb 11 2012 02:32:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1353,None,None
/michaelh,Meaning of ProviderID and Vendor,I have not been able to find a good source of information about what the real meaning is of ProviderID and Vendor. Can anyone help me out? Thanks.,0,None,1 Comment,Sun Feb 12 2012 19:39:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1356,/competitions/hhp,176th
/lancelot0,Can i make use of the benchmark_lmer file?,"My single model gets the result of 0.26162, and then i mix my model with the benchmark_lmer provided by the organizer: mixed_model = my_model * 0.5 + benchmark * 0.5, which gets the result of 0.25378. I wonder this result (0.25378) is valid? Or Can i make use of the benchmark_lmer file? thank you~",0,None,1 Comment,Mon Feb 13 2012 03:21:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1357,/competitions/WhatDoYouKnow,17th
/daveime,Zero Scored Essays ?,"http://www.kaggle.com/c/asap-aes/details/Evaluation ""A set of essay responses E has N possible ratings, 1,2,…,N, and two raters, Rater A and Rater B"" However, in the training_set_rel3.xlsx I see 419 essays with a domain 1 score of zero. Should we be ignoring these essays for training purposes, as they may possibly skew our models to return an estimate below 1 ? Apologies if this has already been covered in another topic.",0,None,6 ,Mon Feb 13 2012 16:13:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1358,/competitions/asap-aes,None
/dmoccia,intellectual property,"So I noticed in the rules for this compeition: 'By participating in this competition, each team maintains full, exclusive and absolute rights to their intellectual property.' (unlike in the Hertiage Prize where all IP is transferred to the Sponsor). This is real good news for everyone who enters this competition, but it leaves me wondering how this works for the contest sponsor? What can the sponsor do with the results if the competitors retain IP? How does Kaggle handle this agreement (is there a contract)? What if I file a provisional patent prior to submission of the file code (assuming my code was any good!!)? I ask these questions with respect to this competition and in general. Please note I am not arguing for or against the transfer of IP given the value of the competion (that was already done [Link]:http://www.kaggle.com/c/GiveMeSomeCredit/forums/t/870/prize-fund-too-low.). I did take notice that the Hewlett Foundation considers this competition the first of many so it makes me wonder what their end game is. Are they hoping to contract with the winning teams? If any Kaggle admin could chime in it would be much appreciated! Thanks and good luck to all the teams...",0,None,1 Comment,Tue Feb 14 2012 17:45:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1360,/competitions/asap-aes,None
/iguyon,"CVPR workshop, June 2012","Please consider submitting a paper to the workshop on gesture recognition held in conjunction with CVPR (June 2012, Rhode Island, USA), where the results of the challenge will be discussed. Deadline March 16, 2012 http://gesture.chalearn.org/dissemination/cvpr2012 Note: the deadline is early so papers can make it in the proceedings. It may not be possible that you include your final challenge results before it goes to print. The papers will be reviewed like regular papers for their - relevance (to gesture recognition) - usefulness - sanity (good experiments, correct derivations of algorithms) - originality/novelty - presentation The best challenge entrants will later be invited to submit a paper in a special topic of the Journal of Machine Learning Research (jmlr.org) which will be reprinted as a book in the Challenges in Machine Learning series of Microtome: http://www.mtome.com/Publications/CiML/ciml.html.",0,None,3 ,Tue Feb 14 2012 19:47:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1361,/competitions/GestureChallenge,None
/iguyon,Kinect demonstration competition,"We will be holding a first demonstration competition at CVPR 2012: http://gesture.chalearn.org/dissemination/cvpr2012 This is what we call the ""qualitative evaluation"" in the [Link]:http://www.kaggle.com/c/GestureChallenge/details/Rules. First prize: USD 5000, Second prize: USD 3000, Third prize: USD 2000. This is a ""free style"" competition, not limited to on-shot-learning, but contrained to using Kinect and the Microsoft SDK. Deadline for proposals: May 1st 2012.",0,None,3 ,Tue Feb 14 2012 19:58:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1362,/competitions/GestureChallenge,None
/haemoglobin,AUC Calculation,"Lots of people have been asking about the calculation of AUC. Here's a simple example showing how it works together with the actual (PHP) that Kaggle uses. Hope this helps John The Kaggle algorithm basically works as follows First order the data predicted = [0.86, 0.52, 0.32,0.26] real = [1, 0, 1, 1] Then calculate the totals for each class in the total_1s = 3 total_0s = 1 Initialise the cumulative percentages percent_1s_last = 0 percent_0s_last = 0 Iterate for each solution-submission pair count_1s = count_1s + {0,1} count_0s = count_0s + {0,1} percent_1s = count_1s/total_1s percent_0s = count_0s/total_0s rectangle = (percent_0s-percent_0s_last)*percent_1s_last triangle = (percent_1s-percent_1s_last)*(percent_0s-percent_0s_last)/2 area = area + rectangle + triangle percent_1s_last = percent_1s percent_0s_last = percent_0s Kaggle's PHP Code: private function AUC($submission, $solution) { array_multisort($submission, SORT_NUMERIC, SORT_DESC, $solution); $total = array('A'=>0, 'B'=>0); foreach ($solution as $s) { if ($s == 1) $total['A']++; elseif ($s == 0) $total['B']++; } $next_is_same = 0 ; $this_percent['A'] = 0.0 ; $this_percent['B'] = 0.0 ; $area1 = 0.0 ; $count['A'] = 0; $count['B'] = 0; $index = -1 ; foreach ($submission as $k) { $index += 1; if ($next_is_same == 0){ $last_percent['A'] = $this_percent['A']; $last_percent['B'] = $this_percent['B']; } if($solution[$index] == 1) { $count['A'] += 1 ; } else { $count['B'] += 1 ; } $next_is_same = 0; if($index < (count($solution) - 1)) { if($submission[$index] == $submission[$index+1]){ $next_is_same = 1 ; $mycount += 1; } } if ($next_is_same == 0) { $this_percent['A'] = $count['A'] / $total['A'] ; $this_percent['B'] = $count['B'] / $total['B'] ; $triangle = ($this_percent['B'] - $last_percent['B']) * ($this_percent['A'] - $last_percent['A']) * 0.5 ; $rectangle = ($this_percent['B'] - $last_percent['B']) * $last_percent['A'] ; $A1 = $rectangle + $triangle ; $area1 += $A1 ; } } $AUC = $area1 ; return $AUC; }",0,None,2 ,Wed Feb 15 2012 11:28:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1364,/competitions/oxford-credit-scoring-competition,4th
/jftttt,About 2 rounds?,"I wonder if the two rounds competition are independent or dependent? If I don't participate in the first round in CVPR2012 workshop, do I have qualification to participate in the second round in ICPR2012 workshop? Thanks!",0,None,4 ,Thu Feb 16 2012 06:50:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1366,/competitions/GestureChallenge,None
/jeffreyburkert,Missing essays,"I noticed that in the scoring rubrics there are counts of the number of essays in the training set. These counts seem to mostly match the ones I get from parsing the file, but for set 7 and 8 there seems to be a large discrepency, 1730 claimed vs 1569 read for 7 and 918 claimed vs 723 read for 8. Were these files removed due to transcription errors or some other reason?",0,None,1 Comment,Thu Feb 16 2012 07:33:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1367,/competitions/asap-aes,45th
/xs2ritesh,Looking to Join a team,"Hi, I am Ritesh. I have a fairly decent theoratical knowledge of Statistics. I am a beginner in Python. I know Matlab, Mathematica, and SAS quite a bit. Let me know if you want a team member. Regards, Ritesh",0,None,1 Comment,Thu Feb 16 2012 09:25:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1368,/competitions/asap-aes,None
/rsenge,Some R code,"Hi all, it's basic, but anyway. Just to make sure, that I got the error measure right, here is my R code for the WMAE: wmae <- function(pred, actu, weig) { sum(abs(pred - actu) * weig) / length(pred) } So calling it for some rows on the training set, I receive the following result: wmae(train$trade_price_last1, train$trade_price, train$weight) [1] 1.099453 Can someone please verify this as being the correct way to calculate the error? Thanks in advance.",0,None,2 ,Thu Feb 16 2012 10:52:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1369,/competitions/benchmark-bond-trade-price-challenge,114th
/laxmiv,training_set_rel3.tsv,"Hi Ben, Looks like there is an issue with some entries in the .tsv file. For example entries 224 and 380 do not have a proper separator separating them from their respective next essays. For example essay 225 is being read as part of essay 224 Thanks P",0,None,8 ,Fri Feb 17 2012 11:51:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1371,/competitions/asap-aes,46th
/stillsut,2nd Milestone - General Questions,"With the submission deadline past for the 2nd milestone, I was curious if anyone is aware of the timeline for: - announcing winners on the scoring set - release of milestone documentation by winners Also, I know that the teams will be ranked on their performance for the scoring set (as in milestone #1). But is their actual score on that set ever revealed publicly/privately?",0,None,4 ,Fri Feb 17 2012 20:07:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1372,/competitions/hhp,None
/jofaichow,Proper procedures for deleting/merging teams?,"Hi, I would like to remove my one man team (woobe) and join my friends' team (Me, Myself and AI). Could you tell me what is the best way to do it? Many thanks!! Regards, Jo",0,None,2 ,Sat Feb 18 2012 14:10:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1373,/competitions/benchmark-bond-trade-price-challenge,87th
/salimali,Essay Set 2 order,"For essay set 2, I am assuminng the submission order is domain1,domain2. Apart from guessing, I don't see how we can figure this out, unless I have missed something.",0,None,2 ,Sun Feb 19 2012 07:44:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1374,/competitions/asap-aes,2nd
/sirguessalot,Inter-human Kappa,"Out of curiosity, I computed the inter-human (rater1 vs rater2) Kappa scores for each set and then the weighted score: set,domain,kappa 1,1,0.72095 2,1,0.81413 2,2,0.80175 3,1,0.76923 4,1,0.85113 5,1,0.75270 6,1,0.77649 7,1,0.72148 8,1,0.62911 all = 0.76033 Given that the current leaderboard score for an automated algorithm is super close to the agreement between two human experts, how realistic is it that we can further improve upon it? EDIT 03/08/2012: As it turns out - it's possible to improve. There are now 7 teams above the 0.76033 benchmark.",3,bronze,4 ,Sun Feb 19 2012 21:18:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1375,/competitions/asap-aes,1st
/pikachu32083,Submitting the model,"I am interested in participating, but need clarification on the Terms. I am agreeable to upload the model ( you mean code and data, I assume ), but I won't have a working model until we're nearly done. And we don't even know if the model is suitable for the task at hand. In order to see that, we need to evaluate what rules humans are following ( readability? quality of writing? accuracy of content? ... ) which presumably would become clear once we downloaded the test and training data. So we're in a chicken and the egg problem. Any suggestions for how to proceed? Thank you!",0,None,1 Comment,Mon Feb 20 2012 00:03:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1376,/competitions/asap-aes,None
/leustagos,Merging Teams,"Hi, Anybody placed around 10th want to join forces and merge teams? I discovered an odd aspect of the data, but couldn't explain it yet. So i'm looking for people with strong skills in applied statistics. Tranks, Lucas (Bitutas team)",0,None,1 Comment,Mon Feb 20 2012 16:42:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1377,/competitions/WhatDoYouKnow,4th
/benhamner,Welcome,"We're excited to launch a follow-up to the [Link]:http://www.kaggle.com/c/wic2011! Ali's provided the raw images plus a number of extracted features, which are available on the [Link]:http://www.kaggle.com/c/awic2012/data, as well as several Matlab benchmarks. I've also put up one additional Python benchmark, which is available [Link]:https://github.com/benhamner/awic2012. Good luck on the competition, and let us know if you have any questions!",1,bronze,1 Comment,Wed Feb 22 2012 00:09:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1379,/competitions/awic2012,26th
/maternaj,Current coupon,"Hello, can someone please explain in more details the meaning and/or purpose of this attribute from the data sets? Thank you very much!",0,None,1 Comment,Wed Feb 22 2012 14:55:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1384,/competitions/benchmark-bond-trade-price-challenge,116th
/kelemam,HHP de-identification methods,"We are hosting a webinar on 6th March (noon EST) on how the HHP data set was de-identified. This will explain in detail the steps that were used to de-identify the data, the risk thresholds that were used, the rationale for the transformations applied, and the methods used. You can register here: http://ehil.ca/yopcCq There is an article that will appear in the Journal of Medical Internet Research shortly providing more information and I will post that on-line as soon as it is available.",0,None,4 ,Wed Feb 22 2012 20:18:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1386,/competitions/hhp,None
/ejlok1,Scoring metric,Hi there I'd like to get some clarification and more understanding of the scoring metric - categorization accuracy. I can't seem to find anything about it on the web. Are you able to post the code (R preferably) as well? Thanks Eu Jin,0,None,3 ,Wed Feb 22 2012 21:39:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1388,/competitions/awic2012,28th
/benhamner,Welcome,"We are very excited to be working with Tencent to host this year's KDD cup! The descriptions for each track have been posted so you can go ahead and start thinking about the contests. The data will be released on March 1, 2012, and then the competition will kick into full gear on March 15, 2012 with the activation of submissions and the leaderboard. Please let us know if you have any questions about the competition framework or the platform through these forums or by contacting us [Link]:http://www.kddcup2012.org/contact. Good luck on the contests!",0,None,2 ,Thu Feb 23 2012 01:14:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1389,/competitions/kddcup2012-track1,None
/benhamner,Welcome,"We are very excited to be working with Tencent to host this year's KDD cup! The descriptions for each track have been posted so you can go ahead and start thinking about the contests. The data will be released on March 1, 2012, and then the competition will kick into full gear on March 15, 2012 with the activation of submissions and the leaderboard. Please let us know if you have any questions about the competition framework or the platform through these forums or by contacting us [Link]:http://www.kddcup2012.org/contact. Good luck on the contests!",0,None,1 Comment,Thu Feb 23 2012 01:15:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1390,/competitions/kddcup2012-track2,None
/xmen28161,How does one leave a team?,Kindly let me know about the procedure to leave a team midway during a competition. Thanks,14,None,6 ,Thu Feb 23 2012 11:16:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1391,None,None
/quansun,Question about the validation set ,"Hi, I have a question about the validation set (valid_set.xlsx) and the valid_sample_submission_x file. Say if I had my model built, should I use the model to predict the eassys in valid_set.xlsx one by one and then submit the result? but I don't unerstand why the valid_set.xlsx file has 4819 rows and the valid_sample_submission_x has 4219 rows. Why the numers are not the same? Thanks",0,None,2 ,Thu Feb 23 2012 23:36:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1394,/competitions/asap-aes,64th
/byang1,Extracted Features,"Hi, can the organizers provide more info (description, source code) about the features in the dataset ? In particular I'd like to know if there's any special image-based features that only apply to Arabic text.",0,None,2 ,Fri Feb 24 2012 18:54:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1396,/competitions/awic2012,None
/waynezhang,use of test data in unsupervised learning,Is it legal to use an unsupervised learning method but both training and testing set (no labels of test data are known)? Thanks!,0,None,6 ,Sat Feb 25 2012 04:07:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1397,/competitions/awic2012,1st
/yumengkk,任务一（中文翻译）：KDD Cup2012 数据挖掘竞赛主题一：预测围脖的推荐结果,【介绍】KDD Cup2012 数据挖掘竞赛主题一：预测围脖的推荐结果.同志们，我把kdd的介绍翻译了一下，贴到博客了，大家快速的看一下把。个人感觉，入手不像我们想象的那么难，自然语言处理用不到，会议方已经做好了。可以说主要就是推荐算法的设计，关键是发现智能化的模式。 http://t.cn/zO48Eox,1,bronze,12 ,Sat Feb 25 2012 10:30:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1398,/competitions/kddcup2012-track1,None
/teaserebotier,Error (missing class def) reading Matlab data files,"Just loading the data off the download I get: >> load train Warning: Variable 'train' originally saved as a dataset cannot be instantiated as an object of MCOS class and will be read in as a uint32. supposedly that's a classdef not in the path, but i see 3 dataset classes in different matlab paths ... did anyone else meet or solve this?",0,None,3 ,Sun Feb 26 2012 00:17:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1399,/competitions/benchmark-bond-trade-price-challenge,37th
/steffenrendle,Selected submissions and final leaderboard score,"The submission page says ""You can select up to 5 submissions that will be used to calculate your final leaderboard score"". Does this mean: from the 5 submissions that I pick, the final leaderboard score of each of these 5 submissions is calculated and out of these 5 leaderboard scores, the final score is the BEST one and the four other scores/ submissions will be completely discarded?",0,None,1 Comment,Sun Feb 26 2012 09:37:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1400,/competitions/WhatDoYouKnow,1st
/dhammack,Issue making a submission,"We're trying to make our first submission, and every time we try (we've tried four times so far), the submission times out. We've tried from different computers and connections and keep getting the same issue. Is there a problem with Kaggle's servers right now that would be preventing us from submitting? Here's the error we keep getting: EXCEPTION: Exception of type 'System.OutOfMemoryException' was thrown. Thanks.",0,None,1 Comment,Mon Feb 27 2012 00:33:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1401,/competitions/asap-aes,119th
/silverfish,Duplicate prices and odd trade sizes,"I've noticed some of the trades for a particular bond have the same price. They mostly seem to be trades at the exact same time, and usually with the same size of trade. I just wonder if there is a particular significance to them. I'm assuming they are related somehow, but I'm not clear how. Also, there are quite a few trade sizes of 5000001 and 1000001 when almost all the rest seem to be multiples of 1000. Again I assume there is some significance, but I have no idea what it could be. Any insight about these oddities would be useful. I don't know much at all about the mechanics of bond trading.",2,bronze,1 Comment,Mon Feb 27 2012 21:12:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1405,/competitions/benchmark-bond-trade-price-challenge,None
/allankamau,User join date data in Track 1 problem,Seems there is no data detailing the date a user joined the microbloging site. Such data would compliment the already provided total number of tweets of a given user. Allan.,0,None,1 Comment,Tue Feb 28 2012 08:36:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1406,/competitions/kddcup2012-track1,644th
/zygmunt,binamial deviance / accuracy,I would like to know what do leading scores (0.24x) mean in terms of percent accuracy.,0,None,2 ,Tue Feb 28 2012 16:45:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1407,/competitions/WhatDoYouKnow,81st
/iguyon,Data annotations,"We provide man-made annotations of two kind: Temporal segmentation and body part annotations. February 2012 release: We are providing - all temporal segmentation for the devel01 to devel20 batches into individual gestures; - the position of the head, shoulders, elbows and hands for over 400 frames sampled from the devel01 to devel20 batches. Description (click for details) Matlab format and reader CSV format [Link]:https://sites.google.com/a/chalearn.org/gesturechallenge/data/data-annotations/README_TEMPO_SEGMENT.txt?attredirects=0 [Link]:https://sites.google.com/a/chalearn.org/gesturechallenge/data/data-annotations/Tempo_segment.zip?attredirects=0 [Link]:https://sites.google.com/a/chalearn.org/gesturechallenge/data/data-annotations/tempo_segment.csv?attredirects=0 [Link]:https://sites.google.com/a/chalearn.org/gesturechallenge/data/data-annotations/README_BODY_PARTS.txt?attredirects=0 [Link]:https://sites.google.com/a/chalearn.org/gesturechallenge/data/data-annotations/Body_parts.zip?attredirects=0 [Link]:https://sites.google.com/a/chalearn.org/gesturechallenge/data/data-annotations/body_parts.csv?attredirects=0 See for more details the [Link]:http://gesture.chalearn.org/data/data-annotations",0,None,2 ,Tue Feb 28 2012 19:59:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1408,/competitions/GestureChallenge,None
/iguyon,Verification procedure,"The goal of the challenge is to devise a fully automatic system of gesture recognition. When we release the final evaluation set, the participants will have to provide predictions of labels without making changes to their system that involves a human looking at the data (either to label it, perform temporal segmentation, identify body parts, or to provide any other type of human knowledge). To enforce that rule, we will ask the top ranking participants to cooperate to reproduce their results (see the [Link]:http://www.kaggle.com/c/GestureChallenge/details/Evaluation). The preferred method is that the participants submit their code together with their predictions. Submission of code will be open shortly. It is OPTIONAL but will facilitate the verification and reduce the risk of disqualification. We are showing below a DRAFT of instructions for people who want to submit code. Please give us feed-back BEFORE March 7, 2012, if you want your comments to be taken into account ===================================================== CHALEARN Gesture ChallengeDRAFT instructions to prepare software submission (for verification purpose only)For questions, contact: events@chalearn.org==========================================================================By submitting their software, the authors grant to the organizers a license to evaluate it for the purpose of verifying the challenge results only. The authors retain all rights to their software. The organizers will keep the software confidential.==========================================================================1) LibrariesThe authors are responsible to include all the necessary libraries with their software. The software should be completely self-contained, unless agreed in advance with the organizers.2) PlatformThe authors should provide an executable for either- Windows 7- Mac OS X 10.5 or lateror interpretable code in either- Matlab (release R2011a or higher)- Java (latest release)The authors should contact the organizers in advance if they want to submit compilable source code under Unix platforms or other versions of the OS, Matlab or Java, or if they want to use other interpreted languages such as Python of R. Matlab and Java libraries will not be included by the organizers, unless agreed in advance.3) Put your software, including all libraries in a directory bearing the name of your team. Add a README file with installation and usage instructions. Zip the directory and upload it to xxxxxx.4) Recommended usage:> prepare_final_resu(input_dir, output_file)The code should comprise a main command line function called prepare_final_resu taking two arguments: the input directory and the output file name. The input directory will contain the batches to be processed organized in sub-directories (e.g. valid01, valid02, ... final01, final02). The software should list these files and automatically process them all.It is recommended that the code possess some kind of exception handling such that if it fails on a few files, it does not crash but runs on the remaining files. The organizers should be able to run the software on new data batches that were never released to the participants.5) Output format:The output file should be in the challenge submission format, see:http://www.kaggle.com/c/GestureChallenge/details/SubmissionInstructionssuch that the organizers can submit the file to the challenge website and obtain the same result that was submitted by the authors of the software on valid and final data.",0,None,14 ,Tue Feb 28 2012 20:26:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1409,/competitions/GestureChallenge,None
/goldensection,About Team Forming,"Hi Dear Admin, 1. May a participant play in these two tracks for different teams? 2. Is there an amount limit of members for each team this year? Last year's policy said that a team should be formed up to 10 members, but the winning team much exceeded this limit.",0,None,8 ,Wed Feb 29 2012 04:22:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1410,/competitions/kddcup2012-track1,None
/nikku33187,Meaning of MAE,"Hi, In the problem it is written ""The performance of the prediction will be scored in terms of MAE and AUC"". What is MAE here. Can someone please provide references for it. Thanks in advance.",0,None,2 ,Wed Feb 29 2012 17:10:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1411,/competitions/kddcup2012-track2,None
/mrkaggler,Can we report results of validation set in the paper to CVPR2012 workshop ?,Can we report results of validation set in the paper to CVPR2012 workshop ?,0,None,5 ,Wed Feb 29 2012 21:09:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1412,/competitions/GestureChallenge,4th
/thesuffocated,The meaning of trade size,"The data page says that trade size is ""the dollar amount of the trade"". In the first row of the training file, we have trade price = 128.596, trade size = 120000 and current coupon = 5.95. How many bonds have the customer bought? For what notional amount? Are coupons paid on a monthly basis, a quarterly basis, a half-yearly basis or a yearly basis?",0,None,1 Comment,Thu Mar 01 2012 01:15:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1413,/competitions/benchmark-bond-trade-price-challenge,226th
/phoenix4,where's the data file?,"Today is March 1,but i cannot find the place for download",0,None,10 ,Thu Mar 01 2012 07:23:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1415,/competitions/kddcup2012-track1,None
/holzner,use of collaborative filtering methods ?,"I wonder whether anybody has tried a collaborative filtering method (""students who liked this question also like these other questions"") based on singular value decomposition and got a better score than the Rasch model benchmark ? Personally, I tried using pyrsvd with some modifications (e.g. added a logistic function transformation) with different numbers of latent variables but I did not get an improvement over the benchmark. I have to admit though that I did not do a systematic determination of the learning rate, regularization parameters or the number of latent variables due to limited time available, I did however split these by track name as the benchmark model does.",0,None,11 ,Thu Mar 01 2012 10:10:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1416,/competitions/WhatDoYouKnow,99th
/tqchen,seems official site is sometimes slow..,I have been refreshing for 10 min to get to the forum page. It gets better now. Does anyone experience similar problem?,0,None,4 ,Thu Mar 01 2012 10:40:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1417,/competitions/kddcup2012-track1,1st
/benhamner,2nd Milestone Winners,Congratulations to teams Market Makers and Edward & Willem for winning the 2nd milestone prize! [Link]:http://www.marketwatch.com/story/heritage-provider-network-awards-80000-to-the-progress-prize-winners-in-the-3million-heritage-health-prize-contest-at-the-strata-conference-in-santa-clara-california-2012-03-01 We look forward to seeing the papers on your methods and results soon. The full 2nd milestone leaderboard is available here: [Link]:https://www.heritagehealthprize.com/c/hhp/leaderboard/milestone2,0,None,18 ,Thu Mar 01 2012 20:21:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1419,/competitions/hhp,None
/barnandas,Nature of test data,Is there any possibility that the test data on which the final model would be evaluated might consists of essays that do not belong to any of the eight essay sets?,0,None,2 ,Fri Mar 02 2012 00:48:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1420,/competitions/asap-aes,65th
/shuye0410,Where Is the Data?,"Hi There: I wonder where the data is? Any one knows? It's said the data is available in March 1,2012?",0,None,11 ,Fri Mar 02 2012 02:26:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1421,/competitions/kddcup2012-track2,None
/shawnhuang0,units of time?,"Just making sure, I believe it was already stated that received time difference is in seconds, but how about the other two time-related data, time to maturity and reporting delay? Are these also measured in seconds?",0,None,3 ,Fri Mar 02 2012 05:18:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1422,/competitions/benchmark-bond-trade-price-challenge,146th
/shoo33449,Solutions to old competitions?,"Are the best solutions to old competitions released? If so, where can they be found? If not, doesn't this give Kaggle employees an unfair advantage in these competitions given that they can have access to all the submissions?",6,None,10 ,Fri Mar 02 2012 06:38:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1423,None,None
/btak47,I cannot add my team members?,I searched and could not found the links that i can add my team members for registerison. Can anyone tell me? Thanks!,0,None,5 ,Fri Mar 02 2012 08:01:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1425,/competitions/kddcup2012-track2,None
/benhamner,Training Data Release,"We're excited to release the training data for Track 1. It can be downloaded from the [Link]:https://www.kddcup2012.org/c/kddcup2012-track1/data. This competition will kick into full swing with the release of the test data and public leaderboard activation on March 15, 2012. For those of you that wish to form teams, you will be able to do so then as well. Please let us know if you have any questions, and good luck!",6,bronze,21 ,Fri Mar 02 2012 09:52:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1426,/competitions/kddcup2012-track1,None
/sreeaurovindh,Help! Data file for track 2 missing,Dear Admin. The data link that appeared an hour ago got disappeared.Kindly help Thanks Data learner [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/1952/data2.JPG,0,None,6 ,Fri Mar 02 2012 15:37:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1429,/competitions/kddcup2012-track2,None
/benhamner,Training Data Release,"We're excited to release the training data for Track 2. It can be downloaded from the [Link]:https://www.kddcup2012.org/c/kddcup2012-track2/data. This competition will kick into full swing with the release of the test data and public leaderboard activation on March 15, 2012. For those of you that wish to form teams, you will be able to do so then as well. More detailed submission instructions will be provided then as well. Please let us know if you have any questions, and good luck!",1,bronze,6 ,Fri Mar 02 2012 18:25:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1432,/competitions/kddcup2012-track2,None
/matthewroos,Leaderboard score missing,I made a submission which scored ~0.712 but it's not showing up on the leaderboard. Matt,0,None,2 ,Fri Mar 02 2012 19:51:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1433,/competitions/asap-aes,90th
/tritonsd,Availability of Test Set,"I was wondering, if and when the test-set (outcomes) would be released. It will help me write a report that I am working on currently. Thanks! Rohan",0,None,7 ,Fri Mar 02 2012 21:07:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1434,/competitions/WhatDoYouKnow,5th
/ompatri,Item categories a.b.c.d Loops in hierarchy?,"There are instances like 1.4.1.4 and 1.4.2.2 in the dataset in item.txt; Maybe I am missing something here but aren't they supposed to be hierarchical, i.e. Item-Category is a string “a.b.c.d”, where the categories in the hierarchy are delimited by the character “.”, ordered in top-down fashion (i.e., category ‘a’ is a parent category of ‘b’, and category ‘b’ is a parent category of ‘c’, and so on. So, this would imply 1.4.1.4 means 1 is a parent of 4, which is parent of 1, which again is parent of 4 ? Also 2.2 would mean 2 is a parent category of itself ?",0,None,4 ,Sat Mar 03 2012 04:37:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1437,/competitions/kddcup2012-track1,None
/jczheng,A problem about test data,"Can anybody tell me that whether the target users, queries, and ads in the test data set for CTR prediction are also involved in the training data set? That is, are we required to predict CTR among users, queries, and ads that have already appeared in the training data set, or are we required to predict CTR between NEW users, NEW queries and NEW ads? This is important for the design of the model I think. Thanks",0,None,8 ,Sat Mar 03 2012 05:56:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1438,/competitions/kddcup2012-track2,61st
/krachos,Unknown semantics of gender attribute value 3,"Hi, what are the semantics for the value 3 in the attribute gender in the user_profile.txt. The value 3 is not mentioned in the description. ""Gender has an integer value of 0, 1, or 2, which represents “unknown”, “male”, or “female”, respectively."" Our script reported an error for the following user profiles. 238037 1977 3 1 0 328969 1900 3 12 0 ...",0,None,4 ,Sat Mar 03 2012 08:47:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1439,/competitions/kddcup2012-track1,551st
/jeromezhao,Exact meaning of result -1?,"In the instruction it says that -1 means user rejected the item recommended, but it this ""reject"" means the user ""explicitly rejected"" the recommendation(same as ""I don't like this"") or just ignore this recommendation also means reject? Is anyone know about this? Thks",0,None,4 ,Sat Mar 03 2012 09:17:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1440,/competitions/kddcup2012-track1,532nd
/timmy1,Timestamps,"Hello, Shouldn't additional data parts beside the recommendations be timestamped? (the general description mentioned ""Timestamps for user’s follow actions are given for performing session analysis."" but I don't see it in the specific file's description nor the data itself) Thanks",0,None,3 ,Sun Mar 04 2012 00:13:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1442,/competitions/kddcup2012-track1,594th
/ahassaine,Usage of internet allowed?,Can the developed system use the internet? for example to check plagiarism. Thanks !,0,None,1 Comment,Sun Mar 04 2012 07:36:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1444,/competitions/asap-aes,13th
/tqchen,Possible Official Validation Set?,"Is it possible that organizers provide an ""official"" split of validation set, which is usually available in the previous competitions. Since the data specification do not specify clearly how the train and test data are splitted. Alternatively, refining the specification to specify the train vs test split will also be great.",0,None,14 ,Sun Mar 04 2012 10:49:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1445,/competitions/kddcup2012-track1,1st
/rajstennajbarrabas,Win a free Kinect,"It's been a month since the ""send us your address so we can ship"" E-mail and I haven't received the Kinect. Have these been sent? Is there a tracking number or something? Should I contact UPS?",0,None,1 Comment,Sun Mar 04 2012 18:49:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1447,/competitions/GestureChallenge,46th
/simondexter,Simple Stats,"Hi, I'm analyzing user_sns.txt file, I have 1,944,591 unique user ids, the cardinality of the set of followers (left column) is 1,892,060 and that of followees is 920,110. Can anybody confirm? Thanks, Simon",0,None,11 ,Mon Mar 05 2012 01:44:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1448,/competitions/kddcup2012-track1,None
/luoleicn,User follow himself???,"in rec_log_train.txt, I got this: 1606902 1606902 -1 1318844011 1606902 1606902 -1 1318844018 1606902 1606902 1 1318844027 Does this mean tencent recommender system will recomend the user to himself ? but how can someone follow himself on tencent microblog?",0,None,7 ,Mon Mar 05 2012 08:57:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1451,/competitions/kddcup2012-track1,89th
/phoenix4,About the target,Is our task to predict a decimal value between -1 and 1. or just two integer -1 and 1,0,None,11 ,Mon Mar 05 2012 13:05:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1455,/competitions/kddcup2012-track1,None
/luoleicn,user_sns.txt incomplete,"for user id 628369.I found that: in rec_log_train.txt, he follows 189 users who are recommended by default system. That means user 628369 have followed 189 users at least but in the user_sns.txt, there are only 20 records for user 628369. Is the user_sns.txt a incomplete file or some other reasons cause this happened?",0,None,5 ,Mon Mar 05 2012 13:35:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1457,/competitions/kddcup2012-track1,89th
/del=f240cc52390a57e0,About Baseline,"Hi, I got the baseline(default system) = 0.099. Can anybody confirm? Thanks, Justin",1,bronze,11 ,Mon Mar 05 2012 14:34:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1460,/competitions/kddcup2012-track1,None
/amosstorkey,Welcome,"Welcome to the MLPR Challenge. If there are questions, you are welcome to ask them here.",0,None,22 ,Mon Mar 05 2012 17:51:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1462,/competitions/mlpr-challenge,None
/jiajuhe,the weight of key word,"what's the max weight for a key word? It seems that the max weight is 1.0, but for some words it's 2.0. Is it correct?",0,None,3 ,Tue Mar 06 2012 04:25:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1463,/competitions/kddcup2012-track1,None
/czz333605,About the three keyword dimensions,"user_key_word.keywordsID item.keyword user_profile.tagID are these three dimensions in the same space? meaning if we have a same id in these three dimensions, does that mean the keywords are the same?",0,None,5 ,Tue Mar 06 2012 11:30:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1475,/competitions/kddcup2012-track1,None
/krey33078,monkey,"I used logistic regression with a log Gaussian prior as my classification algorithm. Logistic regression is based on the principle that the log of the odds should be linear, and given this assumption, logistic regression is simply the maximum likelihood estimate of the problem. The log Gaussian prior adds robustness to the method. As the general optimisation problem (MLE) is intractable, I used stochastic gradient descent to approximate a local maximum. This I later replaced with a more sophisticated algorithm called BFGS and this improved my test results significantly. Applying the tanh function to all inputs (features) was a very reasonable thing to do as well, it increased my AUC score by 0.276122. The tanh function maps the real line to [-1,1] so it ""normalises"" features ie. reduces scale. I used logistic regression with a log Gaussian prior as my classification algorithm. Logistic regression is based on the principle that the log of the odds should be linear, and given this assumption, logistic regression is simply the maximum likelihood estimate of the problem. The log Gaussian prior adds robustness to the method. As the general optimisation problem (MLE) is intractable, I used stochastic gradient descent to approximate a local maximum. This I later replaced with a more sophisticated algorithm called BFGS and this improved my test results significantly. Applying the tanh function to all inputs (features) was a very reasonable thing to do as well, it increased my AUC score by 0.276122. The tanh function maps the real line to [-1,1] so it ""normalises"" features ie. reduces scale. I used logistic regression with a log Gaussian prior as my classification algorithm. Logistic regression is based on the principle that the log of the odds should be linear, and given this assumption, logistic regression is simply the maximum likelihood estimate of the problem. The log Gaussian prior adds robustness to the method. As the general optimisation problem (MLE) is intractable, I used stochastic gradient descent to approximate a local maximum. This I later replaced with a more sophisticated algorithm called BFGS and this improved my test results significantly. Applying the tanh function to all inputs (features) was a very reasonable thing to do as well, it increased my AUC score by 0.276122. The tanh function maps the real line to [-1,1] so it ""normalises"" features ie. reduces scale. My final performance was an AUC score of 0.849885.",0,None,1 Comment,Tue Mar 06 2012 11:43:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1478,/competitions/oxford-credit-scoring-competition,20th
/sinzero,weight=2.0 in user_key_words.txt,"These user who have keywords of weight=2.0 seems to be items. D:\XXXX\track1>cat user_key_word.txt|grep 23358692335869 974:2.0;974:2.0;974:2.0;974:2.0;974:2.0;8895:2.0;8895:2.0;1670:2.0;1670:2.0;85658:2.0;85658:2.0;85658:2.0;85658:2.0;72246:2.0;72246:2.0;6183:2.0;6183:2.0;2245:2.0;2245:2.0;9525:2.0;9525:2.0;174033:2.0;174033:2.0;174033:2.0;174033:2.0;6977:2.0;6977:2.0;39928:2.0;39928:2.0;412042:2.0;30066:2.0;30066:2.0 D:\XXXX\track1>head -1 item.txt2335869 8.1.4.2 412042;974;85658;174033;974;9525;72246;39928;8895;30066;2245;160;85658;174033;6977;6183;974;85658;174033;974;9525;72246;39928;8895;30066;2245;670;85658;174033;6977;6183;974 2335869 is the first item in item.txt, and these keywords of 2335869 are identical to keywords in item.txt. does 2.0 mean unkonw?",0,None,14 ,Tue Mar 06 2012 12:08:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1480,/competitions/kddcup2012-track1,24th
/cike33411,about the item.txt,"the tags of one recode are often repeated. for example: 643400 8.1.3.4 314155;178434;9450;8661;22158;56388; 8661;22158; 8661;22158;56388; 8661;22158 753466 1.4.2.6 6359;18059;6183;3203;44625;479121;18059;6183;3203;10638;2321;117898;393066;213525; 18059;6183;3203;44625;479121;18059;6183;3203;10638;2321;117898;393066;213525 is there any reason ? another question: is there any reason that the tags in ""item.txt"" are often too big while the tags in ""user_profile"" are often little?",0,None,6 ,Tue Mar 06 2012 12:48:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1481,/competitions/kddcup2012-track1,392nd
/zaythedatascientist,"Assumptions about user-keywords, item-keywords and tag-id. (Official Confirmation required) ","According to the official information provided: item-keywords are extracted from user profile (may be from the self-introduction). user-keywords are from the tweets, retweets and comments. Question 1: are item-keywords and user-keywords in different dimenstions (same number represent different words)? Tags are selected by users to represent their interests. But some tag-ids are very large number (e.g. user 2420818 has tag-id 138415). Question 2: does a tag-id represent an interest that user chosen manually? How can a user choose from too many interests (more than 100,000 interests)?",0,None,1 Comment,Tue Mar 06 2012 14:49:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1483,/competitions/kddcup2012-track1,641st
/howardxie,question regarding coupon,"Hello, I have two questions regarding coupon 1. for the column ""coupon"", does it indicate the coupon RATE (percentage of bond face value) or the coupon AMOUNT ( amount of dollars) ? 2. What is the coupon payment frequency? Is it every year, every quarter, every six month or other time peorids ? Thanks in advance.",0,None,1 Comment,Tue Mar 06 2012 21:50:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1484,/competitions/benchmark-bond-trade-price-challenge,123rd
/farout,count regularities in rec_log_train.txt ?,"The number of entries per UserID in rec_log_train.txt has a strong regularity with period 3. Below is the number of UserID with 1,2,3... entries in the file: 6 79 224255 678 731 167972 745 945 121844 723 1091 94434 708 1015 74758 The regularity comes from ""refused recommendations"". A histogram of accepted recommendation per UserID is smooth. This seems odd. Am I mistaken ? If not, what causes this regularity? Just eyeing the beginning of the file shows a pattern of 3 lines per UserID (with distinct ItemIDs) Perhaps related, there are far fewer distinct timestamps in this file (2445766) than entries (~73*10^6).",0,None,3 ,Wed Mar 07 2012 00:33:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1485,/competitions/kddcup2012-track1,None
/leustagos,R code for AUC,"Does anybody knows an efficient implementation of the AUC metric used in this competition? Tried a couple of R packages, but they where very slow. The AUC code in matlab I have runs way faster!",0,None,1 Comment,Wed Mar 07 2012 03:36:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1487,/competitions/kddcup2012-track2,5th
/cozilla,how many members in each team?,how many members in each team? Does it have some limits of the number of members?,0,None,2 ,Wed Mar 07 2012 04:18:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1488,/competitions/kddcup2012-track1,None
/kongfupig,about the weight of keyword,"Can anyone explain the strategy on keyword weighting for user and item? Without considering the given user or item, if all key words supposed to be uniform important in the vocabulary or not ?",0,None,1 Comment,Wed Mar 07 2012 07:55:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1489,/competitions/kddcup2012-track1,224th
/bhaskher,Perplexity 137604551180683.00000 !!!,"Hi, Seems like I have broken all records of rubbish predictor, I have out-performed all zeros!. If I understand correctly lower the perplexity score it is better. My log prob. look about reasonable. I have rescaled them so that 0 represents highest probable Y class. However my rest of the classes have negative probability. It is not very clear from your earlier comments as to how should we rescale the results. Am I supposed to turn the polarity/sign? Any thoughts? Regards",0,None,5 ,Wed Mar 07 2012 12:47:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1498,/competitions/mlpr-challenge,34th
/timmy1,Updating the dataset description,"Hello, Since there were a couple of clarifications regarding the data from when it was initially published, would it be possible to please update the dataset description page and highlight the changes? It could make it easier then following all forum discussions. Thanks",0,None,1 Comment,Wed Mar 07 2012 13:49:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1499,/competitions/kddcup2012-track1,594th
/iguyon,15 Free Beagle Boards!,"Were you thinking to participate in the CVPR 2012 demonstration competition? You may need extra compute power to run a real time demonstration. You could use a Beagle board and you can easily get one for free: Submit your model executable code together with your predictions on the website NOW and facilitate the verification process. See the instruction at the bottom of the page: http://www.kaggle.com/c/GestureChallenge/details/SubmissionInstructions. Texas Instruments is offering 15 Beagle Boards. Beagle Boards are based on the OMAP3 processor, which is used as the main processor in many smart phones today. The Beagle Board Open Source community has already connected Kinect with Beagle Board and demonstrated examples of gesture recognition. More information is available at www.beagleboard.org. Beginning today, participants who are classified in the top 10 entrants on the leaderboard AND submit their code for verification at any time until the end of Round 1 of the challenge, are entitled to a free Beagle board, while supplies last. To claim your Beagle board, send email to events@chalearn.org with a snapshot of the leaderboard and highlight your submission.",0,None,1 Comment,Wed Mar 07 2012 22:03:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1500,/competitions/GestureChallenge,None
/lambchops,Any ideas / suggestions how to approach this problem?,"I started off thinking creating a linear regression baseline would be nice... however w. almost 150 million training samples, that is pretty much intractable. What is the general idea you guys have in mind in approaching this problem?",0,None,3 ,Thu Mar 08 2012 06:49:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1503,/competitions/kddcup2012-track2,None
/pspcxl,Is training data file ordered by time ,Is training data file ordered by time or other factors，or just random?,0,None,1 Comment,Thu Mar 08 2012 09:51:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1504,/competitions/kddcup2012-track2,None
/danmaftei1,re-submissions?,"Hi, I had a small bug taking a needless square and so my linear regressor perplexity is wrong. Is there a way to delete / resubmit?",0,None,1 Comment,Thu Mar 08 2012 15:22:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1505,/competitions/mlpr-challenge,25th
/abhinavkulkarni,Space of tag-Ids and Item-Keyword,"Hello, Although data specification makes it pretty clear that tag-Ids and Item-Keyword are not from same space (i.e. same tag-Id and Item-Keyword do not necessariy correspond to same 'keyword'), I just wanted to double check this with organizers. If there indeed is any association between them, it could change the treatment of the problem. Thanks.",0,None,2 ,Thu Mar 08 2012 19:31:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1506,/competitions/kddcup2012-track1,None
/abhinavkulkarni,About Item-Id and User-Id,"Hello, I was wondering if Item-Id space is a subset of User-Id space. According to data description, a set of specific (interesting, famous) users were selected and promoted as items so that they can be recommended to others for following, etc. Does this mean that Item-Id is same as their (previous) User-Id? Or once they were promoted to the item set they were assigned fresh Item-Ids? Thanks.",0,None,1 Comment,Thu Mar 08 2012 19:57:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1507,/competitions/kddcup2012-track1,None
/rkirana,Row Delimiter missing,What is the row delimiter of the training files? Seems like row delimiter is missing!,0,None,2 ,Fri Mar 09 2012 08:12:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1508,/competitions/kddcup2012-track2,50th
/c6h5no2,Same tokensid in different *_tokensid.txt files,"Do they have the same meaning? For example, you can find tokensid ""75"" in the 4th line of purchasedkeywordid_tokensid.txt, 2nd line of queryid_tokensid.txt, and 1st line of titleid_tokensid.txt. Do these ""75""s mean the same word?",1,bronze,6 ,Fri Mar 09 2012 13:18:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1509,/competitions/kddcup2012-track2,None
/iguyon,Final evaluation data,The final evaluation data is available for download from the data page. It is encrypted using WinZip (for which a free trial version is available). We will release the decryption key on April 7. Please download the data at your convenience to avoid overloading our servers with requests at the last minute.,0,None,3 ,Fri Mar 09 2012 17:36:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1510,/competitions/GestureChallenge,None
/zstats,Out of memory in scoring?,"Is anybody else getting errors in the Kaggle scoring system today? My submission takes forever to score an then eventually gets: ""EXCEPTION: Exception of type 'System.OutOfMemoryException' was thrown."" as an error. My submission is the right size (4818 rows in a CSV, 96 KB). Haven't tried submitting to this contest before, so maybe I'm doing something wrong?",0,None,4 ,Sat Mar 10 2012 20:24:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1512,/competitions/asap-aes,103rd
/timmy1,Keywords,"Hello, Are all the connections betwen items-to-keywords that are in item.txt also listed in user_key_word.txt (since items are users)? Best regards",0,None,1 Comment,Sun Mar 11 2012 00:21:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1513,/competitions/kddcup2012-track1,594th
/kurak38,userid = 0 ??,"Hi, I've noticed that 78391188 row in training.txt has userid = 0, and few more after it. Actually there are exactly 37733352 record with userid=0. In userid_profile.txt file there isn't any user with id equal to 0, so how should we interpret this situation? Are they missing/unknown data? Can you provide us a md5 hash of each files. thanks",0,None,2 ,Sun Mar 11 2012 00:25:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1514,/competitions/kddcup2012-track2,77th
/plus133582,Duplicated recommendation,"As mentioned in previous posts, (and could be seen in testdatas)there could be multiple recommendation record, for ex:A B -1 time1A B -1 time2A B +1 time3it is perfectly normal and acceptable, but I have one question:since the evaluation is ""average precision"" (something like MAE),we need to rank the recommendation records in the testing data,and those K (suppose a user accepted K records) highest ranked items will be taken.Just to make sure,if an item appear more than once in the K records,for ex in the example above, all three records is given some high evaluation and appear in the top K records,will they be counted just once? or do we have to exceptionally handle duplicated records or something?",0,None,1 Comment,Sun Mar 11 2012 12:40:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1517,/competitions/kddcup2012-track1,22nd
/pjia18363,"impression? what is it?anybody who can tell me,thx","I do not clearly understand the description on "" impression "" in tha training dataset, but it seems to be a very important parameter for I saw this example given by authorities in the Evaluation part: if an instance has 40 impressions and 10 clicks, its empirical CTR is 10/40. Could anybody tell me what does ""impression"" mean？ Many thanks~~",0,None,4 ,Sun Mar 11 2012 14:54:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1518,/competitions/kddcup2012-track2,None
/wangyuantao,AUC is also weighted by ad impression?,It seems AUC can only handle two classes. Does a single instance in KDD Cup data set with 2 clicks 3 impressions means 2 positive examples and 1 false example?,1,bronze,1 Comment,Sun Mar 11 2012 16:13:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1519,/competitions/kddcup2012-track2,84th
/allankamau,Difficulties understanding the problem.,"I have difficulties understanding the presented problem. A)I have difficulties understanding the distinction between user and item. An example ""an item a vip user Dr. Kaifu LEE"" is given as an example of an item. And the text goes on to explain that the exmple vip user now identified as ""kaifulee"" belongs to two categories, ""X.science-and-technology.internet.mobile"" and ""X.business.Investment.Angle Investment."". Question: 1)Can a user also be an item? 2)I have found no items belonging to more than one category. The field ""item_id"" of the ""item"" dataset contains no duplicates, meaning that there are no items being represented in different categories. B)Then we advised that user ""Peter"" follows ""kaifulee"" who was classified as item in the case description. The exact text reads. ""For example, if a user Peter follows kaifulee, he may be interested in other items of the category that kaifulee belongs to, and might also be interested in the items of the parent category of the kaifulee's category"". Questions: 1)Can a user (for example ""Peter"") follow an item, or does he only follow other user(s). Or can a user follow both items and other users? 2)Can a user belong to a category?",0,None,5 ,Mon Mar 12 2012 11:47:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1521,/competitions/kddcup2012-track1,644th
/danglaser,Stanford Conference Update,"Hi All, We will be looking at the leaderboard on 3/15 to help us determine who to invite to the Third Stanford Conference on Quantitative Finance. The conference is on 3/30-3/31 at Stanford University. More details can be found on the Prizes tab. Please get your submissions in soon, and good luck. -Dan",0,None,8 ,Mon Mar 12 2012 14:05:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1522,/competitions/benchmark-bond-trade-price-challenge,None
/xing34749,Dr. Kaifu LEE.UserID==Dr. Kaifu LEE.ItemID?,"Since Dr. Kaifu LEE is an item and also a user in Tencent Weibo, does it mean userID=itemID of Kaifu?",0,None,3 ,Tue Mar 13 2012 09:51:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1525,/competitions/kddcup2012-track1,None
/zhangjun,question about session,"In the explaination of impression, it says ads will impressed to the user in search session. In fact the search results will be several pages, and maybe the ad will be in the 2nd page or the 3rd page.Does the search session contain the situation that user browse the second result page and see the ad? I am confused about it. Please help me , thank you very much!",0,None,1 Comment,Tue Mar 13 2012 10:02:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1526,/competitions/kddcup2012-track2,None
/xjsxjtu,item category & tagID ??,"Does item category, from item.txt, and tagID, from user_profile.txt, come from the same vocabulary? thanks~",0,None,2 ,Tue Mar 13 2012 14:05:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1527,/competitions/kddcup2012-track1,None
/dchudz,Milestone 2 Papers,"The papers written by the milestone winners are now available [Link]:https://www.heritagehealthprize.com/c/hhp/leaderboard/milestone2. As described in section 13 of the [Link]:http://www.heritagehealthprize.com/c/hhp/Details/Rules, if you have any concerns about these papers, you have 30 days from their posting to provide your feedback.",0,None,19 ,Tue Mar 13 2012 20:06:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1528,/competitions/hhp,None
/hangz19598,Question about the Unix timestamp,Is the time stamp provided in the Chinese Standard Time zone or some other zone?,0,None,1 Comment,Tue Mar 13 2012 22:23:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1529,/competitions/kddcup2012-track1,44th
/qanlp32519,some question about tags and keywords,Hi~ I found that keywords of a specific user or item sometimes occurs more than once in the keyword list of the user. For example: userid keyword 92700 3203:2.0;3203:2.0;12203:2.0;12203:2.0;16745:2.0;16745:2.0;16745:2.0;142344:2.0;..... I noticed that 3203 and 12203 occur twice in the keyword-list and 16745 occurs three times but all of these three keywords are weighted 2.0. Does it means that 16745 is more important than the other two or all of these 3 keywords are equally important? the other question is about tags. Can the tags occur more than once in the tagid_list as the keywords,0,None,1 Comment,Wed Mar 14 2012 07:56:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1532,/competitions/kddcup2012-track1,223rd
/qanlp32519,recommendation in trainset,"Hi~ I wonder if there are recommendations for users who are also items in the trainset. In other words, does the recommender system also recommend users for the users who are in the item.txt?",0,None,6 ,Wed Mar 14 2012 08:51:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1533,/competitions/kddcup2012-track1,223rd
/windboy,The files are too large,The files are too large to operate. How to make this problem easier?,0,None,2 ,Wed Mar 14 2012 13:30:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1534,/competitions/kddcup2012-track1,None
/loyolite270,Evaluation Formula,Can anyone please explain the exact formula used for evaluation?,0,None,3 ,Wed Mar 14 2012 13:35:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1535,/competitions/benchmark-bond-trade-price-challenge,None
/predictor,Possible Abuse of Public Score?,"Isn't it possible for a contestant to cheat by submitting a prediction file of all writer 0 (""writer not in training set"" class) and using the resulting public score to estimate the proportion of writer 0 cases in the test data? In fact, a more sophiticated cheat would be to submit a prediction file with random assignments: observations predicted other than 0 would be unlikely to be correct, so that the leaderboard accuracy would (largely) represent the fraction of writer 0 predictions which accidentally were correct.",0,None,9 ,Wed Mar 14 2012 17:25:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1537,/competitions/awic2012,40th
/subharya83,Skeleton Detection,"Kinect has a very good skeleton detector and tracker. Using that, the challenge becomes way easier. Therefore, only the teams which have access to the skeleton tracking code will benefit, which might be biased. It seems fairer to make the skeleton detection and tracking results available to everyone.",0,None,2 ,Wed Mar 14 2012 19:55:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1538,/competitions/GestureChallenge,44th
/chriscarter,Query word structure,"Hi, do the numbers in the query field represent different words in the Chinese language? Are linking words such as AND and OR included or have these been removed?",0,None,1 Comment,Thu Mar 15 2012 01:55:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1539,/competitions/kddcup2012-track2,None
/onemillionmonkeys,Data Discrepancy,"Hi, I noticed a puzzling discrepancy in the data and I wonder if the administrators can shed any light on it. There are some (maybe many) differences between the movies contained in the devel01-40 download and the devel02 download. To take just one example, the file K_16.avi (from batch 2) has size 1052554 in the devel01-40 download, while the corresponding file has size 1007874 in the devel02 download. Is the explanation that one is compressed in the ""quasi-lossless"" format and one in the lossy format? That could explain this discrepancy, but from reading the download page, it appears both downloads are supposed to be in the quasi-lossless format. The follow-on question is: how can I ensure that I am getting all the data in one format (devel, validation and final)? I think what I want is the lossless format, but mostly I just want consistency. I definitely don't want to tune my system on one format and then have the final evaluation be performed on a different format. Thanks.",0,None,1 Comment,Thu Mar 15 2012 02:02:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1540,/competitions/GestureChallenge,3rd
/alkhwarizmi,I can't make a submission,I have followed the instructions for making a submission and can't get it to accept the file. What is the trick? I had no problems in the other competition.,0,None,1 Comment,Thu Mar 15 2012 04:23:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1541,/competitions/benchmark-bond-trade-price-challenge,74th
/aimago,about the weight of keywords in user_key_word.txt,the weight of a keyword is relative to user itself or all the users(global)?,0,None,1 Comment,Thu Mar 15 2012 07:31:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1543,/competitions/kddcup2012-track1,None
/helloworld34041,Calculate AUC,How to claculate AUC in the track. I don't understand the meaning of TP & FP in this track and I can't draw the ROC curve.,0,None,9 ,Thu Mar 15 2012 12:44:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1545,/competitions/kddcup2012-track2,133rd
/charisse,HHP_release3 claims.cvs CharlsonIndex,For this column in the data I only see dates.Is there another file I should be using?,0,None,3 ,Thu Mar 15 2012 15:26:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1546,/competitions/hhp,None
/smile33551,where is the test dadaset?,where is the test dataset? how many items should be recommended to a user?,0,None,4 ,Thu Mar 15 2012 15:28:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1547,/competitions/kddcup2012-track1,None
/grangwang,Does anyone/team would like to take one teammate?,Please contact me soon:) orchestor {at] gmail ^dot} com Kaggle is a wonderland of machine learning!,0,None,2 ,Thu Mar 15 2012 16:30:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1548,/competitions/benchmark-bond-trade-price-challenge,None
/smile33551,Is the  'items set'  a subset of  'users set'？,Is the 'items set' a subset of 'users set'？ whether we recommend items to a item?,0,None,2 ,Thu Mar 15 2012 19:00:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1550,/competitions/kddcup2012-track1,None
/benhamner,Test Data Release,"We're excited to release the test data for Track 1. It can be downloaded from the [Link]:https://www.kddcup2012.org/c/kddcup2012-track1/data. There will be an update posted with the next 24-48 hours that contains the new submission format for Track 1 (which will drastically reduce the size for the submission files). Good luck, and let us know if you have any questions!",0,None,8 ,Fri Mar 16 2012 07:08:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1551,/competitions/kddcup2012-track1,None
/benhamner,Test Data Release Delayed,"Hi all, We are holding off on releasing the test data for Track 2 in order to check it more thoroughly for potential issues (such as data leakage). It should be posted within the next week. Thanks for your patience. In the meantime, the test data for [Link]:https://www.kddcup2012.org/c/kddcup2012-track1/data has just been released!",0,None,14 ,Fri Mar 16 2012 07:08:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1552,/competitions/kddcup2012-track2,None
/andyxs,how to create a team,when can we create a team and how to do it? please provide more information about it!,0,None,1 Comment,Fri Mar 16 2012 07:19:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1553,/competitions/kddcup2012-track2,143rd
/smile33551,Maybe I know what we should to do ,"According to Yanzhi Yanzhi wrote You can not pick items but rank items associated with users in test set. Please wait for test set. The task is that we should rank the items in test set for each user,It doesn't generate new items to recommend.",0,None,1 Comment,Fri Mar 16 2012 07:49:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1554,/competitions/kddcup2012-track1,None
/dataminer10,Getting Data,I am teaching a Data mining course and I need data for students projects. How can I get this?,0,None,2 ,Fri Mar 16 2012 11:53:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1556,None,None
/qiming0,not clear about 4(b) task,"4. (b) ""Now using the first 10 components of your PCA representation for the data, do linear regression, and report the 4-fold cross-validation perplexity."" I am very confused. Could anyone help me to explain the task? What is the data? x or [ x(:, end), x(:,end -34), x(:, end-35)]. What are the first 10 components of your PCA representation of the data. What are the input for the linear regression?",0,None,9 ,Fri Mar 16 2012 16:03:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1557,/competitions/mlpr-challenge,None
/danmaftei1,Length?,"I know that's a horrible question to ask, but I have no sense of how verbose I should be. Minus graphs / images, is there a desired length, give or take a few pages?",0,None,1 Comment,Fri Mar 16 2012 18:45:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1558,/competitions/mlpr-challenge,25th
/benhamner,Submissions Enabled and Leaderboard Activated,"We're excited to fully launch this competition! Submissions have now been enabled, and the leaderboard is active. See the [Link]:https://www.kddcup2012.org/c/kddcup2012-track1/data for examples of the submission file. Our system accepts compressed submissions (.gz, .7z, and .zip), and we recommend that you compress them to minimize upload time. Instructions on the submission format can be found [Link]:https://www.kddcup2012.org/c/kddcup2012-track1/details/SubmissionInstructions. Good luck, and please let us know if you have any questions about the submission process!",0,None,18 ,Fri Mar 16 2012 19:37:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1559,/competitions/kddcup2012-track1,None
/benhamner,Welcome,"We're excited to launch this competition! How well can you predict the biological response to a molecule given only features derived from its structure and composition? The code to create the benchmark submissions is available from this [Link]:https://github.com/benhamner/BioResponse. Good luck on the competition, and let us know if you have any questions!",0,None,15 ,Fri Mar 16 2012 20:11:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1560,/competitions/bioresponse,302nd
/user2ndarysignals,definition of log loss metric,"[Link]:https://github.com/benhamner/BioResponse The data is in the comma separated values (CSV) format. Each row in this data set represents a molecule. The first column contains experimental data describing a real biological response; the molecule was seen to elicit this response (1), or not (0). The remaining columns represent molecular descriptors (d1 through d1776), these are caclulated properties that can capture some of the characteristics of the molecule - for example size, shape, or elemental constitution. The descriptor matrix has been normalized.",0,None,2 ,Sat Mar 17 2012 14:50:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1561,/competitions/bioresponse,None
/kxia19023,Do we get ranking information from training set?,"Hi guys, Do we get the ranking of recommendations from the training set? Or for each user, all accepted recommendations with value ""1"" are treated equally? Thus we don't get much score information from a binary labeled class.",0,None,3 ,Fri Mar 16 2012 23:18:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1562,/competitions/kddcup2012-track1,None
/hangz19598,# of clicks of each user in test set >=3?,"Since the submission requires 3 items for each user in the test set, does it mean that in test set, each user has clicked at least 3 items?",0,None,2 ,Fri Mar 16 2012 23:23:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1563,/competitions/kddcup2012-track1,44th
/harriken,Michigan,"Reading the essays I realised that most easays might come from a given US State. Words, style and idiom used by people vary slightly from state to state. Is it okay to use this info for the grading ?",0,None,7 ,Sat Mar 17 2012 06:41:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1564,/competitions/asap-aes,15th
/katzgilad,duplicate keywords with different weights for the same user,"Hi, The user_key_word.txt file has many cases of duplicate keywords, but usually they are all of the same weight. However, there are cases in which the weights are not the same. For example, for user 1003218 there are 5 instances of keyword 154145 - 4 with a weight of 2, but one with a weight of 0.1537. I have two questions: 1) Am I right to ignore the duplicities and treat them as a single instance of the keyword 2) What is theright course of action when there is more than one possible value for a keyword? Thanks in advance!",0,None,2 ,Sat Mar 17 2012 10:08:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1565,/competitions/kddcup2012-track1,189th
/ladderrunner,what is the minimum number of members in the team?,Is't posiible that team consist of only one member (team leader)?,0,None,2 ,Sat Mar 17 2012 13:39:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1566,/competitions/kddcup2012-track2,None
/jmp0xf,Absolute value or?,"In assignment 2.(d), should we use the absulute value of y(i)-x(i,end) since we use 64 bins?",0,None,7 ,Sat Mar 17 2012 16:30:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1568,/competitions/mlpr-challenge,2nd
/jmp0xf,"does ""these methods"" contain NB?","In assignment 4.(c), it says compare ""these methods"", should we also involve the methods in Q3 ?",0,None,1 Comment,Sat Mar 17 2012 16:51:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1569,/competitions/mlpr-challenge,2nd
/timmy1,Are the keywords stemmed?,"Hello, Since the keywords are built out of the user's tweets, are they after stemming or do they also include connection words? Thanks",0,None,2 ,Sat Mar 17 2012 17:23:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1570,/competitions/kddcup2012-track1,594th
/hangz19598,Why some users in test set are not in sample submission sub_small_header.csv?,"How many unique users are in test set? Do we need to recommend for each user in test set? Some users in test set are,not in the sample submission provided by the organizer, such as 100019,100021, 100022, 100023, 100024. Thanks.",0,None,5 ,Sat Mar 17 2012 21:29:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1571,/competitions/kddcup2012-track1,44th
/kurak38,Impression estimate,"Hi, I wonder why we must estimate impression? It is actually result of your search engine advertising algorithm, so now the purpose of the contest is to guess your algorithm. Best Regards",0,None,1 Comment,Sat Mar 17 2012 23:49:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1573,/competitions/kddcup2012-track2,77th
/cike33411,about the evaluation ,"ap@n = Σ k=1,...,n P(k) (3) If among the 3 items recommended to the user, the user clicked #1, #3, then ap@3 = (1/1 + 2/3)/2 ≈ 0.83 so,if 1item recommended to the user, the user clicked #1, then ap@3 = (1/1 )/1 =1 the result of one recommended will be better than it of three or two recommended if you convince thar one recommendation will be successful??? then you can ignore other recommendation?",0,None,14 ,Sun Mar 18 2012 09:32:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1574,/competitions/kddcup2012-track1,392nd
/danmaftei1,preventing underflow with class-cond gaussian,"I am using a class-conditional Gaussian model with the surrounding pixels x(:, [end, end-34, end-35])). Evaluating the second datum x(2, :) at the class-1 and class-2 Gaussians causes underflow. Thus, calculating p(y|x) then moving to negative log-space results in Infinity where y=1 and y=2. In negative log-space, -log p(y|x) = -log p(y) - log p(x|y) + log SUM_y p(y)*p(x|y). The problem is that sum. My current solution is to do the sum in normal space, then take the log. The results I get are consistent (i.e. p(y|x) sums to 1 over all y), but obviously the sum isn't entirely accurate since p(x|y) will underflow for some values of y. I found an identity for the log of a sum: log (a+b) = log a + log (1 + exp(log b - log a)). This doesn't work, since I have to go back to normal space after doing that difference in log space, and this results in Infinity. What to do?",0,None,5 ,Sun Mar 18 2012 16:42:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1575,/competitions/mlpr-challenge,25th
/sashikanthdareddy,R code for LogLoss,"actual<-c(0, 1, 1, 1, 1, 0, 0, 1, 0, 1) predicted<-c(0.24160452, 0.41107934, 0.37063768, 0.48732519, 0.88929869, 0.60626423, 0.09678324, 0.38135864, 0.20463064, 0.21945892) LogLoss<-function(actual, predicted) { result<- -1/length(actual)*(sum((actual*log(predicted)+(1-actual)*log(1-predicted)))) return(result) } LogLoss(actual=actual, predicted=predicted) [1] 0.6737617",2,bronze,15 ,Sun Mar 18 2012 17:58:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1576,/competitions/bioresponse,265th
/flyingkebab,Perplexity VS Accuracy,"I am just wondering why we use perplexity as the measurement for different classifiers. Perplexity can be interpreted as how certain we are of the right predictions. The more certain we are, the less information we gain from the predictions, thus less perplexity. However small perplexity can not guarantee we have a really good prediction accuracy. Say, a classifer A prefers some certain classes by assigning very high probabilities can result in a bigger perplexity than a classifer B that assigns probabilities more evenly. But you can not say that A is definitely better than B. When comparing the classification accuracy, something interesting was found. Naive Bayes which has a higher perplexity than Linear Regression, actually has a lower classification accuracy.",0,None,1 Comment,Sun Mar 18 2012 18:01:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1577,/competitions/mlpr-challenge,23rd
/mrwhkczz,Linear regression - one for each image?,"In task 4, should I have a separate model(in this case coefficients) for each image? (or am I being silly?)",0,None,1 Comment,Sun Mar 18 2012 18:33:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1578,/competitions/mlpr-challenge,33rd
/danmaftei1,difference b/wn min & max values in principal components,Does the difference between the minimum & maximum values in a principal component mean anything significant?,0,None,2 ,Sun Mar 18 2012 19:15:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1579,/competitions/mlpr-challenge,25th
/smcgruer2,What to visualize for 3bii,"Apologies for another question, but I am struggling to see what we are meant to be visualizing for 3bii and what it might show us. At the moment I am examining the values of P(Y = y | x_i) for a number of different x_is - is this the correct thing to graph? (If it is then I think I know what the question is prompting us to state, otherwise I don't.)",0,None,7 ,Sun Mar 18 2012 19:17:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1580,/competitions/mlpr-challenge,29th
/danmank,Visualising Predictions Question 3(b)(ii),"In this question, we are asked to visualise the predictions using histograms. Are we expected to visualise the negative log likelihood predictions (for every value of y) for various image patches? This will produce a histogram with 64 bins each containing the prediction of y assuming that intensity value given x. If not, would you mind to please elaborate on what predictions we are required to visualise? Thanks",0,None,2 ,Mon Mar 19 2012 02:18:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1581,/competitions/mlpr-challenge,12th
/orzvsorz,Different submission instruction,"in ""Description"" tab, it says ""Teams are to submit a prediction file with respect to the testing dataset line-by-line in text format, in which each line contains 3 fields, (UserId)\t(ItemId)\t(Prediction). "", while in ""Submission Instructions"" tab, it says, the first column is userId, and ""The second column contains between 0 and 3 space-separated ids for recommended users or items to follow"". So, what's the first description mean?",0,None,1 Comment,Mon Mar 19 2012 03:32:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1582,/competitions/kddcup2012-track1,208th
/orzvsorz,About the sub_small_header.csv file,"I noticed that there are 1340127 lines in this file, but the num of different user id is 1196411, it means that there are some lines with the same user id. Why?",0,None,3 ,Mon Mar 19 2012 04:03:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1583,/competitions/kddcup2012-track1,208th
/zhaogang,final VS. public test set?,"The rec_log_test.txt file contains data for both the public leaderboard set and final evaluation set. The file is sorted temporally. Any data with a timestamp = 1321891200 is used for the final evaluation set. The goal is to predict which items that were recommended to the user were followed by the user, within each set. I am a little confused with above paragraph. Basily, we should rank the items in the test data for targeting user. Does above mean that we only need consider both the targeting user and the candidate items only for the timestamp 1321891200 ?",1,bronze,5 ,Mon Mar 19 2012 06:06:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1584,/competitions/kddcup2012-track1,373rd
/medial,What was the mechanisem for pair removing on test?,"Hi, You said that: ""The repeated recommended (user, item) pair were removed from test set in this release."" What was the mechanisem for removal? few options: 1. Keeping the first appearance by timestamp of repeated pair, removing all the other 2. Keeping the last appearance by timestamp of repeated pair removing all the other. 3. Keeping randomly appearance. Thank you",0,None,7 ,Mon Mar 19 2012 06:20:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1585,/competitions/kddcup2012-track1,6th
/bjyang,Item-category,"Hello 1) Can the 'Item-category' have multiple values? Ex.) 1.2.3.4;5.6.7.8;0.0.0.0 2) Does the 'root' exists? There is an explanation about root category like below and it makes me confused, because, in dataset, there exist value like 1.4.2.6, 8.2.4.1 Should we ignore 1 and 8 from the dataset above? X.science-and-technology.internet.mobile (X indicates the root category and can be ignored); and X.business.Invest.Angel Investment.",0,None,3 ,Mon Mar 19 2012 06:50:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1586,/competitions/kddcup2012-track1,112th
/marzena,Question 3b,"I am totally lost what steps I should do to complete the question 3b. We are given 64 alphas, but we work with 3 x attributes that can take 1 of 64 values. Does it mean we have 192 parameters? Also, when i wanted to store x|y - few values are non-zero, the rest are all zeros. Working with -logs just turn them to Inf. When I want to use them later, all my results turn to Inf. I am sure I do something wrong, but I am unable to find out what. any suggestions? Thanks",0,None,10 ,Mon Mar 19 2012 15:21:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1590,/competitions/mlpr-challenge,None
/rajstennajbarrabas,Observations of the data,"I have to withdraw from the competion, so I'm posting some observations and conclusions so that others can make use of them. Observation 1: The distance measurement is per channel, but offset. I took separate R, G, B histograms in the distance frames and compared the pixel counts. The data seem to indicate that the R, G, and B channels all measure the same distribution, but offset from each other. For example, the count of pixels which have a red = 10 is the same as the count of green = 12 and the same as blue = 8. I concluded from this that the three channels are measuring the same distribution but offset from each other, and that calculating the distance at a pixel by averaging the channels (R+B+G)/3 would effectively fuzz the data. To calculate the distance of a particular pixel, simply use the green channel value. This appears to have the best spread of values within the distribution. Observation 2: The distance values are not continuous The histograms also show gaps in the data counts - channel values which have a count of zero at periodic intervals. For example, a Red channel histogram is shown below. The values at positions 5, 12, 19, 26 and so on are zero. This indicates, for example, that there are no pixels in the distance image which have a Red component of 26. This is true for all distance frames in all videos, and since the green histogram is at an offset from the red data, there are corresponding zeroes in the green channel, and also in the blue channel. Calculating the *change* in value from one frame to the next without compensating for these zeroes will skew the results. For example, consider the MSE of the same pixel taken from two succeeding frames. One frame might show a distance of 11 at that location, and the next might show a 13. The MSE will appear to be (13-11)^2 = 4 when in reality the distances differ by 1 so the MSE should be (12-11)^2 = 1. The extra distance is an anomaly, caused by the hole in the digitization technique. Since no pixel can have a distance of 13, the new pixel has be the next higher value. When distances are remapped to avoid the zeroes, 212 separate distance values remain in a more-or-less continuous distribution. Observation 3: Black (R=G=B=0) means ""no information"" In the distance images, the value of ""black"" does not mean ""really close"", but instead means ""no information"". The Kinect apparently uses this value to report that the infrared signal has disappeared - hence, ""no information"". For an example of this, look at devel05/K_26.avi and notice how the patterns change frame to frame. Any detection algorithm needs to account for this special value; for example, by relying on pixel area averages instead of absolute pixel counts. Observation 4: The ""no information"" value (Black) is low-pass filtered A histogram of the distance images plotted does not show a sharp vertical line at zero, but a smoothly sloping curve starting at around value 5 and rising up to meet the value at zero. This indicates that the black value has been put through a low-pass filter, with the result that some of the black values appear as small-numbered values close to black. Practically speaking, this means that values close to black (around 5 and less) should also be considered the ""no information"" value. How close depends on the specific video - I think this has to do with the specifics of the AVI encoding. Histogram of red channel in one of the distance frames: 1270 27 17 15 15 0 22 14 13 15 13 9 0 2 5 4 2 4 3 0 2 2 2 3 4 4 0 4 2 7 2 7 5 0 5 3 4 6 3",2,bronze,1 Comment,Mon Mar 19 2012 20:40:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1591,/competitions/GestureChallenge,46th
/chris9,Computational Power,"I was wondering if any of the leaders could comment on the computational effort they used to get their results. From reading Market Makers papers, it would seem they are using a tremendous amount of resources to perform all those fits. Anyone want to share run times, # of nodes and node configurations used to perform these kinds of runs? Thanks",0,None,3 ,Mon Mar 19 2012 21:31:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1593,/competitions/hhp,314th
/dfb35928,very serious ethical implications,Isn't anyone concerned that building a tool to provide health insurance companies with information about patient re-admissions before treatment decisions have been made and without regard to patients' long term survivability is essentially giving the companies a tool with which they can justify declining treatment to the patients who need it most?,0,None,6 ,Mon Mar 19 2012 23:10:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1594,/competitions/hhp,None
/xenzios,molecular descriptors question,"Do we have any informaton as to what each molecular descriptor actualy is, perhaps categorically? Thanks.",0,None,3 ,Tue Mar 20 2012 02:06:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1595,/competitions/bioresponse,None
/benhamner,Competition Ideas,"On occaision an organization will approach us, wanting to sponsor a competition for the public good. However, they don't always come with a specific problem or idea. We have many ideas of our own, but we want to make sure we're presenting potential competition sponsors with some of the best and most relevant open problems, where their money could have the greatest impact. Is there any competition that you would love to compete in, or data set that you want to see on our platform? If so, please let us know!",0,None,10 ,Tue Mar 20 2012 03:45:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1597,None,None
/benhamner,Welcome,"Can people be reliably identified based on their eye movement characteristics? We're excited to launch this research competition to help find out! The code to create the benchmark submissions is available from this [Link]:https://github.com/benhamner/emvic. Good luck on the competition, and let us know if you have any questions!",0,None,1 Comment,Tue Mar 20 2012 05:32:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1598,/competitions/emvic,None
/iotcasc,Confused about Submission Instructions and sub_small_header.csv,"The Submission Instructions says ""Any data with a timestamp < 1321891200 is used for the public leaderboard set, and >= 1321891200 is used for the final evaluation set."" But i find in the sub_small_header.csv,all of the unixtimestamp of user 2421056 is bigger than 1321891200 .Why ?",0,None,1 Comment,Tue Mar 20 2012 08:48:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1600,/competitions/kddcup2012-track1,94th
/nosik35408,Competition deadline,"Hi, Just out of curiosity: Kaggle says there are 9 days left for the competition, but the assignment deadline is today. Does it mean we can make submissions to Kaggle after submitting the assignment?",0,None,1 Comment,Tue Mar 20 2012 11:21:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1601,/competitions/mlpr-challenge,None
/djokov88,Log Gaussian,"In one of the messages Amos said ""For example do not compute a Gaussian, and then take logs. Compute instead the log Gaussian."". I presume this means using lognpdf, but how do we proceed from there to get to Kaggle friendly results?",0,None,2 ,Tue Mar 20 2012 13:34:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1602,/competitions/mlpr-challenge,3rd
/alexeigor,"AdId connected to several Urls, titles...","As I understand particular AdId must be connected with only one UrlId and titleId, but in training.txt AdId can be connected to multiple ones. Can organizers comment this issue? cut -f4 training.txt | sort -u | wc 641707 awk -F""\t"" -v OFS=""\t"" '{ print $3,$4 }' training.txt | sort -u | wc 674702 awk -F""\t"" -v OFS=""\t"" '{ print $4,$10 }' training.txt | sort -u | wc 4257577",0,None,1 Comment,Tue Mar 20 2012 13:57:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1603,/competitions/kddcup2012-track2,140th
/bjyang,Make clear the task,The task is to recommend top-3 items from 'item.txt' to each user. Right?,0,None,6 ,Tue Mar 20 2012 16:14:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1604,/competitions/kddcup2012-track1,112th
/kalimet,Paragraphs?,"Hi, Is there any way to tell where the paragraph breaks are? I don't see any markup in the TSV files that would indicate paragraphs / essay organization. Thanks!",0,None,1 Comment,Tue Mar 20 2012 17:19:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1606,/competitions/asap-aes,None
/datacooking,Issues with class labels,"Hi, can anyone explain why the first column (class label?) of ""train.csv"" contains values other than just 0 or 1? Thank you.",0,None,7 ,Wed Mar 21 2012 04:06:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1609,/competitions/emvic,6th
/tingtingxiong,What is the Maximum Achievable Score?,"It has been said that some users may accept none of the items in the test set. Because the ap@3 is always zero for these users, they bring down the total AP@3 score. Thus the maximum achievable score is less than 1.0. Would the organizers be willing to inform contestants of this optimum score, for both the leaderboard and final evaluation test sets? Alternatively, why not exclude such users from the test set as they contribute nothing to the score? Thank you!",0,None,4 ,Wed Mar 21 2012 10:16:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1610,/competitions/kddcup2012-track1,None
/hangz19598,what is the AP of a user if he does not follow any recommended item?,"Is he counted but set AP=0 for him, or just skipped? Thanks.",0,None,2 ,Wed Mar 21 2012 15:53:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1611,/competitions/kddcup2012-track1,44th
/ahassaine,8192 ms?,The sum of all times is: 1600+20+550+550+550+550+550+550+550+550+550+550+1100 = 8200 ms Slightly above 8192ms. Am I missing something? Thanks!,0,None,7 ,Thu Mar 22 2012 06:39:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1614,/competitions/emvic,17th
/elpiloto,Feature Descriptions?,The data description simply states the 1776 features as molecular descriptors - is there any way we can get more detailed informatiion about what each feature corresponds to?,0,None,1 Comment,Thu Mar 22 2012 10:08:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1615,/competitions/bioresponse,271st
/luoleicn,Could the organizer supply a evaluation script?,"I am still confusing about the evaluation metric, could the organizer supply a evaluation script, so I can use it for local test Thanks in advance",0,None,7 ,Thu Mar 22 2012 10:26:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1616,/competitions/kddcup2012-track1,89th
/kdesai,Track 1 - Clarification Questions,"1. The user tags are mapped to ids, and the keywords are also mapped to ids. If 'computer' is a tag word, and it is also a keyword, would it have the same number as its tagid as well as keyword-id? 2. In the rec_log_train.txt and what does the time stamp stand for: is that the time the user accepted or rejected the recommended item? or is that the time the item was recommended to user? Many accepted/rejected actions by a user share the same timestamp. 3. How are the recommendations presented? Does the user have a button to ""Accept All"" or ""Reject all' ? If user moves on without clicking on any recommendations, is it counted as implicit Rejection of all recommended items? 4. Once a user U accepts the recommendation for item T, will the system ever recommended the same item T to the same user U in future? 5. Are the time-stamps in the rec_log_test.txt to be recognized while creating submission? To elaborate, if we see in the test set that a user U was recommended with item A at time t1, item B at time t2, and item c at time t3. Are we supposed to rank the probability that user will follow item A at time t1, B at time t2, and C at time t3? Or are we supposed to rank the probability that user will follow item A, B, or C at a time t4 (where t4 is not disclosed)? Thanks a lot in advance for the clarifications!",0,None,3 ,Thu Mar 22 2012 14:33:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1617,/competitions/kddcup2012-track1,381st
/carter,download seems to hang,"I'm not sure why, but every time I try to download that dataset, at some point it hangs. Is this possibly somehow a failing of how chrome is interacting with the download server, or are other folks having those difficulties?",0,None,6 ,Thu Mar 22 2012 20:06:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1618,/competitions/kddcup2012-track2,None
/sylvanas,confused about submission file,"""It is strongly recommended to compress the submission files before uploading them"" . I am not much understanding this instruction. We should submit a csv format file, how can it be compressed?",0,None,3 ,Fri Mar 23 2012 03:35:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1620,/competitions/kddcup2012-track1,228th
/sreeaurovindh,Data Missing for User profile other than userid=0!! Please confirm,"Hi, I found a few statistics and wanted to confirm within forum that these infact exits.The mapping between training document and user_profile.txt is missing with the following numbers: Total # of training samples for which userid does not have a mapping (Excludes userid=0) = 98,95,32 Total # of distinct userids that have no mapping =2,31,598 The following are some of the userids 176 697 743 793 875 888 906 937 Can you please verify and confim it Thanks data learner",0,None,1 Comment,Fri Mar 23 2012 03:57:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1621,/competitions/kddcup2012-track2,None
/salimali,Rule Clarification,"The rules state... In order to be eligible for prizes, you are required to submit the complete model you will use to score the test set prior to the release of the test set. and the deifinition of model in the Terms and Conditions is any code, text, algorithm or series of algorithms, equation or series of equations, material, software, designs, documents, descriptions or specifications which is used, in whole or in part, directly or indirectly, in calculating, drafting, building, devising, calibrating, testing, evaluating, analyzing or generating an Entry, or which itself constitutes the whole or part of an Entry. Can you confirm that the model we need to submit has to be a generic algorithm that is applied to all essay sets (and can be applied to future new essay sets), rather than an equation that can be pre-tuned to each individual essay set with specific pre configured parameters at an essay set level (and hence useless on any new essay sets). Hope this makes sense!",0,None,7 ,Fri Mar 23 2012 08:16:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1622,/competitions/asap-aes,2nd
/fooltencent,Come on let's get 0.6+!,We duplicate the first column of the sub_min.csv three times to form the result and get [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.63185 on the leaderboard...,0,None,6 ,Fri Mar 23 2012 15:49:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1625,/competitions/kddcup2012-track1,159th
/vikpar,Looking to work with someone,"I would ideally like to work with someone (or a team) whose score is within +/- .01 points of mine. That said, I understand that the scores are a bit fluid, so I'm not going to discriminate too much on that basis if your score falls below that threshold. I certainly don't mind discussing my approach in a general manner and deciding whether or not it will fit well with yours before we make a decision. Please email me at vikp.kaggle at gmail.com if interested. Thanks!",0,None,5 ,Fri Mar 23 2012 19:57:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1626,/competitions/asap-aes,3rd
/timmy1,Are all keywords listed in either item.txt or user_key_words.txt,"Hello, Is it possible for the user_key_word.txt file to contain keywords that were not listed in the item.txt file?",0,None,2 ,Sat Mar 24 2012 10:52:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1628,/competitions/kddcup2012-track1,594th
/rfeather,POI locations?,"Sorry if I've missed this, but are the actual locations of the ""focus dots"" available? Thanks!",0,None,8 ,Sat Mar 24 2012 16:54:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1629,/competitions/emvic,46th
/npbendre,additional info on the 1st 4 additional files?,"Hey, Does anyone know what the tokens stand for in the addtional 4 files given in the dataset? is there a way to associate them with the training file ? Thanks!",0,None,1 Comment,Sat Mar 24 2012 21:45:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1630,/competitions/kddcup2012-track2,None
/chenchen,I wonder if I comprehended the evaluation correctly?,"Hi, I'm a little confused about the evaluation process in Task1. Is it means that: We are supposed to recommend 3 items to each user, noted as (Ri1, Ri2, Ri3) and each user has an actual accepted list, in which some are in the leaderboard set, some are in final set, noted as (Li1, Li2, Li3...Lim, Fi1, Fi2,...Fin) Current leaderboards are calculated MAP@3 based on users' Li part, and the final scores are calculated on users' Fi part? or the final scores are calculated based on both Li and Fi parts? I hope I' ve made my question clear.",0,None,4 ,Sun Mar 25 2012 10:18:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1632,/competitions/kddcup2012-track1,237th
/synopsis360,Segmentation of a video,What is the simplest way of segmenting a video I mean how can we find start and end a gesture in a test video ? looking forward for your cooperation thanks,0,None,1 Comment,Sun Mar 25 2012 18:01:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1633,/competitions/GestureChallenge,35th
/rajstennajbarrabas,More observations of data,"Apologies for starting a new thread, I can't seem to attach images to responses. Observation: The depth image is apparently offset and bigger than the color image Posted below is an image which overlays the Kinect and color data (from devel03). Notice that the Kinect data is both offset to the left and bigger than the color data. That is to say, the Kinect data does not appear to be offset *above* the color image, it's simply bigger than the color image. (The red is an artifact of some processing I was doing - identifying pixels of a particular depth.) Any algorithm that attempts to correlate motion between the two frames will need to take this into account. Observation: The color stream is of marginal utility I've also uploaded 3 selected images from the videos of the lexicon of devel03. Notice anything unusual? Some of the lexicon videos are recorded with the actor wearing a black ""bib"", some are recorded with the bib on his lap, some without the bib, and some with a different color shirt. An algorithm that attempts to use the color videos to identify the gestures will need to allow for this - the actor may be wearing different clothing from the lexicon videos. (I asked about this in the forums, and was told that dealing with actors who change clothing is part of the competition.) As you can see, attempting to locate (for example) the actor's chest using color correlation will not work well. Observation: One of the videos is broken valid01/K_24.avi [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2044/OverlayDevel03.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2045/M_9.0001.bmp [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2046/M_1.0001.bmp [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2047/M_5.0001.bmp [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2048/OverlayDevel03.jpg",1,bronze,2 ,Mon Mar 26 2012 05:16:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1635,/competitions/GestureChallenge,46th
/drshabbir,"New comer, can any one clarify following doubts ","1. Is this data selected from In-patients of the hospitals or randomly selected from population? 2. If it is from hospital data then why majority of patients have ""0"" LOS. 3. When we randomly give value of '0' to all the 70k patients that needs to be predicted the error rate is 0.22. 4. I know somewhere i am doing mistake please guide me. Thanks in advance. Regards Shabbir",0,None,6 ,Mon Mar 26 2012 06:39:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1636,/competitions/hhp,None
/farseer,Task Validation,"the Task is recommendation 3(or more) Items for each user in ""rec_log_test.txt"",which number is 1340127.？？ is it possible that the train.txt and the test.txt have the same user? do we just predict the result of test.txt, and record 1,abondon -1,to make final record, or we can add some new result? Thanks!",0,None,1 Comment,Mon Mar 26 2012 09:46:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1637,/competitions/kddcup2012-track1,181st
/reza736782,Location?,"Could you please clarify the x, y positions? Is it the position of gaze on the monitor? why the variation is huge even the person looking at the same point? For example for the first raw in the tarining file the first 1600 ms, lx samples changes form 150 to 361!",0,None,4 ,Tue Mar 27 2012 02:45:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1640,/competitions/emvic,None
/zenog15462,Public leaderboard results: 0.00000,"Hello, I just tried to submit two submissions, and got a result of zero for both of them. This is a bit confusing to me, as even random guessing should lead to a MAP@3 > 0. In fact, the average overlap (number of items that are on both lists) between result lists in my submissions and the example file is 2.06 and 1.80, so I cannot imagine that the true result is 0.0000. I use Unix newlines, and the two-column file format. One submission was compressed with gzip, the other one not. The output for one of the submissions: INFO: Could not infer file format from the file extension. Assuming '.csv' format based off file contents. INFO: Assuming submission does not have a header since the first row looks like data. (Line 1) The first 5 lines of one of the submissions: 100001,647356 458026 1870054100004,647356 1606574 1675399100005,1606574 1774505 218438100009,1606599 647356 1760327100010,458026 2105511 1774963 I am not sure whether I have missed something very obvious, or whether there is a bug in the evaluation code. Any ideas? Best regards, Zeno",0,None,7 ,Tue Mar 27 2012 11:56:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1642,/competitions/kddcup2012-track1,158th
/user96well,test vs train?,What is the difference between the two datasets test.csv and train.csv? Which one I'm supposed to use?,1,None,2 ,Tue Mar 27 2012 15:30:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1643,/competitions/bioresponse,None
/kdesai,Evaluation: number of items recommended vs accepted,"I have a clarifying question about the evaluation metric for track 1. Here's what the description says: ""there are m items in an ordered list is recommended to one user, who may click 1 or more or none of them to follow..."" and then in the formula for AP@n, the denominator is (number of items clicked in m items) If I remember correctly somewher it is mentioned that in the recommendation system under consideration, m is always equal to 3 (true?). Also, if I understand correctly, the range of values for denominator is between 0 to m? Or are we here talking about number of all items that user has accepted till a given point of time - given by the timestamp - which could be much greater than m? Thanks for clarifications.",0,None,6 ,Tue Mar 27 2012 15:58:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1644,/competitions/kddcup2012-track1,381st
/hangz19598,Please clarify what should be the denumerator when calculating AP@3 for a single user?,"Should it be the total number of clicks a user has in the validation/test set? Or, should it be the total number of clicks a user has in the top 3 predicted items? I saw some posts in forum and people were giving conflicting solutions. Thanks.",0,None,1 Comment,Wed Mar 28 2012 18:56:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1647,/competitions/kddcup2012-track1,44th
/rajstennajbarrabas,Notes on segmentation,"(This is in response to the segmentation question. Apologies for starting a new thread, having difficulty with responses.) Calculate the image-by-image MSE difference. That is to say, for each image, for each pixel, calculate the squared difference in pixel values between this image and the next image. Ignore the case where either pixel is black, as that indicates ""no information"" in the Kinect data. Sum the results (of all pixels), and normalize over the number of non-black pixels. (And note my previous comment about gaps in the color distribution.) When you're done, you will have an array of values, one for each image (except the last) which indicates the amount of change from one frame to the next. I've included plots of this value for selected videos from devel01 below. In order to segment a video, find images which match the ""null position"": the position that is normally before and after each of the lexicon videos. The first problem is identifying the null position. Some of the lexicon videos don't start with a null position - they jump immediately into an action sequence. The plot of K_3 has several frames of low action at the beginning, so it's a good bet that these represent the null position. The plot of K_4 has high action right from the start - this indicates that there is no null position at the beginning. You can check the action values of each of the lexicon videos and decide which of these indicate the null position. Note that the null position changes over the course of a video. If an actor moves slightly to the left, a direct match won't work very well. Unless you first identify the actor, and tune out the invariant features. Also, the null position changes slightly from video to video, complicating the match algorithm. For example, this actor puts her hands down (at her sides) for the null position, but never at quite the same angle. This can be difficult to match, since the field of matching (the hands) is rather small - a small offset in the angle or position can result in a large mismatch. Looking at K_3, and not counting the null position at the beginning and the end, we see that the gesture is composed of three segments: an action, a pose, and another action. The first action is when the actor sweeps the hands into position, the pose is where the hands are held in position for a few moments, and the second action brings the hands back to null position. This suggests a way of describing the gestures in terms of actions and poses. K_3 has action-pose-action, while K_4 is mostly action. Alternately, you could also describe K_4 as having 5 actions with little or no pose in between. (Looking at the video will confirm this.) If the you segment the videos by action and pose, you only need to match a single image from within a pose segment. If the actor is holding still, all the images within the pose will be largely the same. You match one frame against the one frame selected from each pose in the lexicon, and choose the one with the best match. Similarly, you can digest the motion within an action in various ways to compare it to an action segment from the lexicon. If the motion is largely ""up"" and the action happens to the right of the actor, that can be matched to similar descriptions from the various lexicons. This will greatly narrow the search space for your matching algorithm. If you can immediately discount certain lexicon entries because the action/pose contour is wildly different, it makes it possible to put more effort into distinguishing between more similar gestures. As a final example, I've plotted the action for K_19 below. The video contains gestures 10-2-3-3, and a human can easily see the transitions between the ""character"" of the segments. Also, you can see where the poses are, and where poses are likely to be the null pose. The gesture ""2"" corresponds to video K_4 - does this look similar to the action plot of the K_4 video? If you match the poses and the actions to specific lexicon entries, you will know when a lexicon entry ends - and you can segment the video at that point. Also, if you reach the end of and have actions/poses left over, you know you've made a mistake etc. Hope that helps! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2068/K_19.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2069/K_2.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2070/K_4.jpg",1,bronze,2 ,Thu Mar 29 2012 07:24:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1648,/competitions/GestureChallenge,46th
/smallabc,The relationship between user_action.txt and user_sns.txt,"I construct a graph G(V,E) with user_sns.txt. Given a triple (start, end, tweet, retweet,comment) in user_action.txt , I findd that the edge (start, end) may be not in E. This is so strange, If A is not a follower to B, How can A tweet B? Can somebody kindly enough to explain that? Or user_sns.txt defines A->B, B->C, Then in user_action.txt, B tweet C, and then A tweet B, Thus you note this action of A tweet B as (A,C, XXX,XXX,XXX) in the user_action.txt. Am I right?",0,None,2 ,Thu Mar 29 2012 09:50:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1649,/competitions/kddcup2012-track1,251st
/mikhail1,ItemId vs UserId,"Hi All! This might sound like a stupid question but I wonder if ItemId and UserId are defined on the same domain? Is it correct that both ItemId = UserId identify the same actual user? For example, if we take ItemId = 112125 from item.txt does it mean that the record with UserId=112125 from User_Profile.txt provides additional info about this item? Thanks.",0,None,15 ,Thu Mar 29 2012 13:03:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1650,/competitions/kddcup2012-track1,None
/pb236227,Appears to be a bug in the test data/sample submissions.,"The submission rules state that ""Your submission must: ...have exactly 1,340,127 rows."" And indeed, the sample submission sub_small_header.csv contains 1340127 lines (not counting the first header line). $ cat sub_small_header.csv | grep -v ""^id"" | wc -l 1340127 But that file only contains 1196411 unique user IDs. (Same as the test data, rec_log_test.txt.) $ cat sub_small_header.csv | grep -v ""^id"" | cut -d',' -f1 | sort | uniq | wc -l 1196411 $ cat rec_log_test.txt | cut -f1 | sort | uniq | wc -l 1196411 It appears that many user IDs are duplicated in sub_small_header.csv, starting at line 713613. Therefore, some users (eg. user ID 100014) have multiple ranked recommendations. $ grep --line-number ""^100014,"" sub_small_header.csv 10:100014,859545 2167615 715470 713617:100014,1774959 1774418 721665 Unless I am overlooking something, this looks like a bug in the submission evaluation criteria. Can someone from KDD please comment? I briefly searched the forums, but didn't find anything about this.",0,None,3 ,Thu Mar 29 2012 14:37:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1651,/competitions/kddcup2012-track1,501st
/mikhail1,One more question about test dataset generation,"I would like to ask if test dataset contains only pairs UserId-ItemId that were recommended (and either accepted or rejected) or it may contain ANY pair UserId-ItemId (for instance, a pair UserId-ItemId where ItemId has not been recommended to UserId at all)? Sorry If I missed it in earlier discussions but I cannot find the answer.",0,None,2 ,Thu Mar 29 2012 16:33:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1652,/competitions/kddcup2012-track1,None
/dminesl,How the evaluation metric incorporate ranking information,"In some discussions in the forum I came across that for each user we have to submit the top 3 recommendations (in order). But I'm not clear how the evaluation metric take account of the ranks. For example out of 12 recommendations given to the user, if the user has accepted the items #3 #6 #4 #2 #12 (#3, #6 and #4 are the top 3 in order), but my algorithm produced #3 #4 #12 as the top 3 recommendations, what is the score I will get? Could you please explain how to calculate ap@3 for this example. Another thing is there is no mention about submitting the top 3 results in the submission instructions, it says ""The second column contains between 0 and 3 space-separated ids for recommended users or items to follow (for example ""647356 458026 1606609"") "" which implies any 3 recommendations will be fine. Appreciate if the guidelines are consistent with the forum discussions.",0,None,8 ,Thu Mar 29 2012 19:43:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1653,/competitions/kddcup2012-track1,None
/rajstennajbarrabas,Identifying the actor,"(I withdrew from the competition, so I'm posting observations which might be of use to people.) To identify gestures you need a way to identify the actor. You need to be able to distinguish ""actor"" from ""non actor"" in the image. One way to do this is by using differential error. I've posted the MSE action plot for devel02/K_3 below. As per my previous post, the plot shows a clear action-pose-action gesture, with a null pose at the beginning (but not at the end, in this instance). From the null-pose section, take any two consecutive frames, and create a new frame which is the MSE of the difference, pixel by pixel. I've posted the results below. This handily identifies the actor in the image. If you can deal with small gaps in the outline, a flood fill algorithm will identify every pixel associated with the actor in this image. Given a section of the outline (a zoomed-in window, for example), the actor will be the part that's closest to the camera. Humans are always moving a little - breathing, adjusting position, &c. Pixels which catch the edge of the human will ""fall off"" to hit the background when the human moves slightly in one direction, and pixels on the other side will be ""caught short"" when the edge of the human moves to intercept. The MSE of these changes is very large compared to the noise value of invariant features, or even variations within the actor's profile. As a follow-on for my previous post about pose images, construct a similar frame from the pose section in the middle of K_3. For comparison, consider a similar image from the corresponding pose section in K_16. Since this is a pose section, there is little relative motion and we only have to match a single frame. Instead of matching frames, we could instead match differential images. A floodfill can set all pixels to either ""actor"" or ""non-actor"", which greatly simplifies the matching algorithm. In the case shown there is a great deal of difference between the two images. Are the ""thumbs up"" significant? This is where the matching algorithm comes to play. We don't need to find a match between these two images, we only need to state that these images match *better* than other lexicon cases. Thus, if the lexicon had two gestures, one with thumbs up and one not, then the thumb position is significant. This lexicon does not have such a set, so matching this pose is greatly simplified. The action potential (the MSE graph values) and the differential images are very useful in identifying features - the human visual system does essentially this as one of the steps in cognition. I don't know if the Microsoft API has these types of data channels, but they're really useful for identifying features. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2073/Devel02_K_3Action.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2074/Devel02_null.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2075/Devel02_K_3.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2076/devel02_K_16.jpg",1,bronze,1 Comment,Fri Mar 30 2012 00:39:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1654,/competitions/GestureChallenge,46th
/mingot,Data aggregation and primary key,"Hi, As I understand from: We divide each session into multiple instances, where each instance describes an impressed ad under a certain setting (i.e., with certain depth and position values). We aggregate instances with the same user id, ad id, query, and setting in order to reduce the dataset size. in ""training.txt"" userid+adid+queryid+depth+position is a primary key. But that is not true, aproximately 1% of the instances are duplicated in that sense. For example, the following one is duplicated $ cat training.txt | grep 21258213 | grep 3566940 1 1658343530815135762 21258213 2298 3 2 7246 4307 7183 16230 3566940 1 1658343530815135762 21258213 2298 3 3 7246 4307 7183 16137 3566940 1 1658343530815135762 21258213 2298 3 3 7246 4307 7183 16230 356694 It's a mistake or I am misunderstanding the problem statement? Thank you.",0,None,2 ,Fri Mar 30 2012 18:35:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1656,/competitions/kddcup2012-track2,5th
/titanoceanus,Submission on Validation Data,"There are 4,218 observations in the validation dataset but there are 4,818 essay_id's in the submission template, and required by the submission parser. Can someone advice as to how to submit against the validation dataset of 4,218 - while we await the test dataset. Regards, Oceanus",0,None,1 Comment,Fri Mar 30 2012 19:13:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1657,/competitions/asap-aes,84th
/abhinavkulkarni,Few Questions,"Please go through following points: user_profile.txt has, for every user a list of 'tag-IDs' he/she entered in his/her profile. item.txt has, for every item an 'item category' of the form 'a.b.c.d' and a list of 'keyword IDs'. user_key_word.txt has, for every user a list of 'keyword-IDs' (along with their weights) extracted from tweets of the user. Now, I have following questions: It is explicitely mentioned that 'keyword-IDs' from user_key_word.txt and 'keyword-IDs' from item.txt are from same vocabulory. However we have two more sources of textual data (encoded as integers, of course) - 'tag-IDs' from user_profile.txt and 'item category' of the form a.b.c.d from item.txt. Are they also from same vocabulory as former two? To clarify this with an example, suppose a user entered 'sports' as one of the tags in his/her profile, an item (say Roger Federer) is about 'sports' so there are entries about that in item.txt of the form <Item-ID of Roger Federer><entertainment.sports.tennis.singles><sports;famous-men;swiss;champion> and a user tweeted about 'sports' and that was extracted as one of keywords in user_key_word.txt. Now would the same ID occur wherever 'sports' occurs in above description? user_profile.txt has some fields with gender=3, for e.g. 238037 1977 3 1 0 328969 1900 3 12 0 352738 2009 3 23 0 665962 1900 3 1 0 742805 1900 3 2 63099;508510;36744;544748;19793;27234;145290 793982 1900 3 9 0 992176 2010 3 20 0 1484399 1900 3 3 0 It is mentioned that gender would either be 0, 1 or 2. What do we interprete in this case? In item.txt the item categories are of the form a.b.c.d. However some of the lines have three- or two-level categories such as 1.2.1 or 1.5. How do we interprete in such a scenario? What level category could be assumed to be missing, i.e. in case of 1.2.1 was data actually 1.2.1.<something> or <something>.1.2.1? In item.txt do category IDs at different levels correspond to each other? For e.g. suppose two items have categories 1.2.3.4 and 5.3.7.2. Now 2 and 3 appear in two categories at different levels (2 appears at 2nd and 4th levels resp. while 3 appears at 3rd and 2nd levels). Do they correspond to possibly same category such as 'sports' or 'politics'? Thanks!",0,None,1 Comment,Fri Mar 30 2012 19:59:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1658,/competitions/kddcup2012-track1,None
/cbusch,Binning,Could anyone comment on why the leaders' solution transformed age at first claim into multiple binary variables? It seems more appropriate for a gbm based linear regression to have turned it into a single scale variable by using the median age for each band. This is the code excerpt from the leaders' solution. UPDATE Members SET age_05 = CASE WHEN ageATfirstclaim = '0-9' THEN 1 ELSE 0 END UPDATE Members SET age_15 = CASE WHEN ageATfirstclaim = '10-19' THEN 1 ELSE 0 END UPDATE Members SET age_25 = CASE WHEN ageATfirstclaim = '20-29' THEN 1 ELSE 0 END UPDATE Members SET age_35 = CASE WHEN ageATfirstclaim = '30-39' THEN 1 ELSE 0 END UPDATE Members SET age_45 = CASE WHEN ageATfirstclaim = '40-49' THEN 1 ELSE 0 END UPDATE Members SET age_55 = CASE WHEN ageATfirstclaim = '50-59' THEN 1 ELSE 0 END UPDATE Members SET age_65 = CASE WHEN ageATfirstclaim = '60-69' THEN 1 ELSE 0 END UPDATE Members SET age_75 = CASE WHEN ageATfirstclaim = '70-79' THEN 1 ELSE 0 END UPDATE Members SET age_85 = CASE WHEN ageATfirstclaim = '80+' THEN 1 ELSE 0 END UPDATE Members SET age_MISS = CASE WHEN ageATfirstclaim IS NULL THEN 1 ELSE 0 END,0,None,5 ,Sat Mar 31 2012 00:02:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1660,/competitions/hhp,266th
/drshabbir,"""0"" Daysinhospital  are more than 70% ","When we are trying with predicting days as ""0"".. our error is much less about 0.22 Please let me know can we predict ""0"" as Daysinhospital ??",0,None,2 ,Sat Mar 31 2012 10:45:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1661,/competitions/hhp,None
/blukee,New Fish. Need some guideline of competition.,"Hello everyone, As the topic. I'm not quite understand the rules in this competition. We have training data which is labeled. But the test data is un-labeled. How can I evaluate my model if the test set data is un-labeled? Cheers",0,None,4 ,Sat Mar 31 2012 19:42:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1662,/competitions/bioresponse,468th
/seanryan,Final Data: depth normalization values,I cannot find the depth normalization values for the final data (i.e. maximum and minimum depth values). Are they hidden somewhere in the encrypted archives?,0,None,1 Comment,Sun Apr 01 2012 22:18:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1665,/competitions/GestureChallenge,7th
/xingzhao,april fools day joke?,scores submitted today are much lower than expected. Is this a April fools day joke?,1,None,1 Comment,Mon Apr 02 2012 03:36:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1666,/competitions/kddcup2012-track1,5th
/gerigory,About the evaluation formula:Who can tell me which one is correct?,"First, i'd like to give a example data as follow (there are 10 items to be recommended to A, and 3 items to be recommended to B): User & Accepted Item Recommendation A (1,2,3,4,5) 1,10,3 A (1,2,3,4,5) 1,3,10 B (1,2) 2 B (1,2) 3,2,1 About the AP evaluation, there are three explaination: 1.The first explaination is from the evaluation [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/details/Evaluation, which gives the formula as follow: ap@n = Σ k=1,...,n P(k) / (number of items clicked in m items) where if the denominator is zero, the result is set zero; P(k) means the precision at cut-off k in the item list, i.e., the ratio of number of clicked items up to the position k over the number k, and P(k) equals 0 when k -th item is not followed upon recommendation; n = 3 as this is the default number of items recommended to each user in our recommender system. For example, (1) If among the 5 items recommended to the user, the user clicked #1, #3, #4, then ap@3 = (1/1 + 2/3)/3 ≈ 0.56 (2) If among the 4 items recommended to the user, the user clicked #1, #2, #4, then ap@3 = (1/1 + 2/2)/3 ≈ 0.67 (3) If among the 3 items recommended to the user, the user clicked #1, #3, then ap@3 = (1/1 + 2/3)/2 ≈ 0.83 According to this formula and the data supported on the top, the AP calculating result should be: AP (1/1)/3=1/3 (1/1+2/2)/3=2/3 (1/1)/1=1 (1/2+2/3)/3=7/18 2.The second explaination is extracted from a topic in the forum: [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/forums/t/1574/about-the-evaluation ""The denominator is the total number of recommendations that the user has accepted. Thus, if the user accepted only one recommendation and you recommend that first, then your AP@3 is (1/1)/1 = 1.0. However, if the user accepted two recommendations and you only recommended one of the two then your AP@3 is (1/1)/2 = 0.5."" by [Link]:http://www.kddcup2012.org/users/993/ben-hamner AP@3 (1/1+2/3)/5=1/3 (1/1+2/2)/5=2/5 (1/1)/2 =1/2 (1/2+2/3)/2=7/12 3.The third explaination is from the pdf file which is given on the evaluation page: [Link]:http://sas.uwaterloo.ca/stats_navigation/techreports/04WorkingPapers/2004-09.pdf, the result should be: AP@3 (1/1+2/3)/2=5/6 (1/1+2/2)/2=1 (1/1)/1 =1 (1/2+2/3)/2=7/12 Could anyone gives me a exact correct explaination, which one in the three explaination is correct?",0,None,1 Comment,Mon Apr 02 2012 11:00:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1667,/competitions/kddcup2012-track1,647th
/warden,why the task is confused so many people？,"do we just predict the 'rec_log_test.txt' result? or we can recommend some items out of the rec_log_test? As the official, the test data is just from the 'rec_log_test.txt' ,so our mission is just predict? is right?",0,None,3 ,Mon Apr 02 2012 15:00:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1668,/competitions/kddcup2012-track1,252nd
/soufanom,"Are (and, or, a, the, etc..) in the Words Files ?!!","Hi, I would like to know if the words that appear in the query, ad's title, ad's description, advertiser's keywords may contain what is equivalent to the following words: (and, or, a, the, there, in, etc...) Those words might have a very high frequency compared to other and still do not play a major role in the model. Regards, Othman",0,None,2 ,Mon Apr 02 2012 16:10:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1669,/competitions/kddcup2012-track2,109th
/booya25932,Please officially confirm: are the actuals top-coded or not?,"I suppose not, but some might assume, based on the ""All 15s Benchmark"", that the actuals in the error calculation are top-coded to 15 like the training data. There is no statement to that affect in the rules or evaluation page, and having searched this forum I did not see a definitive statement one way or the other. One, might think that since it is beyond the 95th percentile, it would have minimal affect, but every little bit helps and it is a simple question. So can someone please officially confirm this one way or the other (or point me to a prior post if I missed it)? Thanks!",0,None,1 Comment,Mon Apr 02 2012 17:17:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1671,/competitions/hhp,422nd
/ladderrunner,user_ids in training.txt and userid_profile.txt are different,"Can someone please explain why the number of distinct user_ids in the training data set is less than number of user_ids in userid_profile.txt. We have: training.txt - has 22023546 distinct user_ids userid_profile.txt - has 23669283 distinct user_ids 989532 231598 user_ids in training.txt are missed from userid_profile.txt. Can someone elaborate why not all user_ids exist in userid_profile file, and why there are 1645737 + 231598 989532 extra user_ids in the userid_profile? for testing data set?) Thank you, -Alex",0,None,5 ,Tue Apr 03 2012 18:01:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1675,/competitions/kddcup2012-track2,None
/balazsgodeny,Deadline,Do I understand correctly that the deadline for submitting solutions on the validation set is this Friday midnight (UTC)? Thanks.,0,None,3 ,Tue Apr 03 2012 20:18:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1676,/competitions/GestureChallenge,42nd
/zygmunt,Matlab/Octave code for LogLoss,"I believe this would be Matlab code for log loss. Translated from R code by Sashi and Alec Stephenson. function ll = log_loss( actual, predicted ) eps = 0.01 predicted = min( max( predicted, eps ), 1 - eps ); ll = -1 / numel( actual ) * ( sum(( actual .* log( predicted ) ... + ( 1 - actual ) .* log( 1 - predicted ))));",0,None,7 ,Tue Apr 03 2012 22:13:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1677,/competitions/bioresponse,290th
/pierluigimartini,Is descriptor data really normalized?,"The information states that : ""The remaining columns represent molecular descriptors (d1 through d1776), these are calculated properties that can capture some of the characteristics of the molecule - for example size, shape, or elemental constitution. The descriptor matrix has been normalized."" What exactly is the normalization done of the descriptor data? I would guess that each row (for each molecule), the descriptor vector is normalized (either with the normal vector 2-norm, or the 1-norm (sum of abs values (they are all positive in this dataset anyways)). However, neither one of those produces a constant norm for each molecule, so I am confused! thanks, PLM.",0,None,3 ,Wed Apr 04 2012 01:03:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1679,/competitions/bioresponse,416th
/yanirseroussi,What constitutes external data?,"According to the rules ""Participants are free to use the provided features or to implement their own features. The use of manually extracted features or any other external data is not permitted."" So if I have a feature extraction method that was trained on external data, is that not allowed? It seems a bit strict, as any new feature implementation would rely on some source of external knowledge (which is based on external data...).",0,None,1 Comment,Wed Apr 04 2012 01:09:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1680,/competitions/awic2012,3rd
/higgstachyon,Use of dataset for research beyond KDD Cup,"Dear Admin, Given how rich the dataset is, can we use it for research whose objectives are not the same as that for KDD Cup-'12? Specifically, if I were to publish a paper using the data here, how do I cite it? Thanks!",0,None,5 ,Wed Apr 04 2012 03:36:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1681,/competitions/kddcup2012-track1,None
/abuzar0,Newbie : purpose of optimized_value_benchmark and other files,"Dear All, I am not aware what is the puspose of optimized_value_benchmark , rf_benchmark ,svm_benchmark and uniform_benchmark",0,None,3 ,Wed Apr 04 2012 14:24:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1683,/competitions/bioresponse,None
/luistp001,Advice for blending models,"Hello, This is not a question about the contest, but I am new to data science, so please can someone give me an advice about the following? Suppose you have several models and you want to blend them. What is better for the final prediction? - To average the predictions of each model. - To train a new model with the predictions as features for the final prediction Or to train the best model but using the predictions of the other models as features for the final prediction. What would you suggest? Thanks",0,None,4 ,Wed Apr 04 2012 23:06:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1685,/competitions/asap-aes,13th
/brandniemann,Alternate Data,"There is so much missing data that I am exploring use of the Ambulatory Health Care Data on Emergency Department Length of Stay.http://semanticommunity.info/HPN_Health_Prize/Ambulatory_Health_Care_Datahttp://semanticommunity.info/HPN_Health_Prize/Emergency_Department_Length_of_StayAfter searching through all of this, I found NAMCS and NHAMCS data can also be downloaded from the Inter-University Consortium for Political and Social Research (ICPSR) http://www.icpsr.umich.edu/index.htmlI am also analyzing Semantic Medline. http://semanticommunity.info/A_NITRD_Dashboard/Semantic_Medline",0,None,1 Comment,Thu Apr 05 2012 00:25:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1686,/competitions/hhp,None
/jerryhouse,Why are the items accepted not in the sns list of users?,"This is the rec_log information of user 2253017: | user_id | item_id | result | rec_time |+---------+---------+--------+------------+| 2253017 | 1606717 | 1 | 1320756494 || 2253017 | 1760350 | 1 | 1320756494 || 2253017 | 1606902 | 1 | 1320756566 || 2253017 | 1760410 | 1 | 1320756566 || 2253017 | 562574 | 1 | 1320756566 || 2253017 | 461710 | 1 | 1320757001 |+---------+---------+--------+------------+ and this is the sns information of user 2253017: +---------+---------+| id | d_id |+---------+---------+| 2253017 | 1655644 || 2253017 | 1760396 || 2253017 | 1760405 || 2253017 | 2257091 || 2253017 | 436442 || 2253017 | 535463 |+---------+---------+ I am so confused that when an item is accepted by the user, it means that the item is follwed by the user, but the data dose not look like that. Anyone has some ideas?",0,None,2 ,Thu Apr 05 2012 09:55:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1688,/competitions/kddcup2012-track1,None
/jerryhouse,Why is an item accepted and rejected many times?,The log information of user 535463 on item 1606902 is shown as below: +---------+---------+--------+------------+| user_id | item_id | result | rec_time |+---------+---------+--------+------------+| 535463 | 1606902 | -1 | 1319200087 || 535463 | 1606902 | 1 | 1319200123 || 535463 | 1606902 | -1 | 1319881289 || 535463 | 1606902 | -1 | 1319947849 || 535463 | 1606902 | 1 | 1319947984 |+---------+---------+--------+------------+ It is confused to see that the user accept and reject the same item so many times. How dose this happen?,0,None,2 ,Thu Apr 05 2012 10:00:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1689,/competitions/kddcup2012-track1,None
/tudor1m,Final Evaluation,"Hi, I am another newbie in the community. Is the test file test.csv the actual file against we have to run our models and those results will be to be used for the final evaluation, or the contest organizers will provide another file? Thank you,",0,None,11 ,Thu Apr 05 2012 14:01:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1690,/competitions/bioresponse,476th
/marinewu,no rec_log_test file is provided,"the dataset of track 1 that we have downloaded only contains 6 files , and the rec_log_test.txt file is not inclued.please make sure and solve this problem.thx",0,None,1 Comment,Fri Apr 06 2012 17:01:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1691,/competitions/kddcup2012-track1,629th
/stevenwudi,the decryption key ,"Hi, How can we find the the decryption key since its already 7th April (GMT) Thanx",0,None,3 ,Sat Apr 07 2012 01:49:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1692,/competitions/GestureChallenge,38th
/iguyon,Final evaluation phase,"The deadline for submitting code has expired and we are making available the decryption key for the final evaluation data, which can be downloaded from the data page: 4lkc221: The data may be uncompressed and decrypted with Winzip (a free trial version may be downloaded from the WInzip website). We encourage every participant to submit final evaluation results. Don't be discouraged if your validation data results are not among the best. It is frequent that people overfit the validation data.",0,None,2 ,Sat Apr 07 2012 02:30:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1693,/competitions/GestureChallenge,None
/van5136749,Keywords hash function ,"Hello, I would like to know what hashing function was used to translate the keywords (in the query, title etc) to hashes. Or if that isn't possible please tell us the probability that two different words will end up with the same hashes. I mean, it is safe to assume that different hashes in the additional data files correspond to different keywords, right?",0,None,1 Comment,Sat Apr 07 2012 12:49:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1695,/competitions/kddcup2012-track2,153rd
/teaserebotier,Question regarding rule # 9,"Rule # 9 states: Participants will not use data other than that provided to estimate their model. Does this apply to the original training and testing sets? If I read Dan's post correctly, the ""new"" training set is from a different time period than the ""old"" training set. Does the model have to be trained exclusively from the ""new"" training/testing sets or can it use both the old and the new?",0,None,1 Comment,Sun Apr 08 2012 08:23:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1696,/competitions/benchmark-bond-trade-price-challenge,37th
/felixbarbalet,Multiple submissions from same person?,"Looking at the leaderboard - why are there some teams which appear to be very similar with multiple entries? Isn't this against the rules of the compeition (hence the daily limit on entries)? Just wondering is all (no offence meant to any of these teams) Eg: zju-icad - same username, different user id, multiple submissions on the leaderboard http://www.kddcup2012.org/users/37901/zju-icad http://www.kddcup2012.org/users/37939/zju-icad Other examples of similar usernames from the leaderboard: yuntian yuntian1 yuntian2 yuntian3 yuntian4 yuntian5 xugang xugang0822 xugang822 shanpao sanguosha majia2 [Link]:http://www.kddcup2012.org/users/37920/majia2017 majia2016 [Link]:http://www.kddcup2012.org/users/37877/majia2 majia2017 [Link]:http://www.kddcup2012.org/users/37938/majia2021 [Link]:http://www.kddcup2012.org/users/37931/majia2019 feixue,feixue1,2,3,4,5,6,7...",0,None,2 ,Sun Apr 08 2012 08:42:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1697,/competitions/kddcup2012-track1,None
/ahassaine,Deadline extension?,I wish I had more time to spend on this competition. Is it possible to have a deadline extension? or is that against Kaggle rules?,0,None,1 Comment,Mon Apr 09 2012 07:54:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1698,/competitions/emvic,17th
/warden,崩溃了,用C++，将SNS和好友列表载入内存，结果new申请不到内存了，大家有什么好建议吗？两个表都是用链接表方式存储的。不过我越来越觉得我的想法不行，我开始的想法是，test中某一项的得分与其好友的follow的情况有关，就像人人网一样，推荐共同好友，结果我写完代码看数据，发现一个人的SNS那么少，我还以为至少有200项啊。郁闷。 任务是删除example中的-1项，因为1项没有必要删除。但是试了几个模型，效果反而降了下来，这就是说，我删除的项有些最后被接受了。还有，我认为按照他的要求，我们是不能添加更多推荐项的，因为他的测试数据只有test文件，如果我推荐的项不在test文件中，即便模型中得到的距离比较小，由于测试文件中没有，所以也没有办法。 不知道我理解的对不对？,0,None,2 ,Mon Apr 09 2012 09:34:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1699,/competitions/kddcup2012-track1,252nd
/benhamner,Award Ceremony,"We will be inviting contest participants to come to an award ceremony around May 9 (probably in Washington DC) to be recognized for their work and meet some of the current vendors of Automated Essay Scoring engines. We will cover the travel expenses for one person from each of the winning teams to attend the award ceremony (coming from within the continental US). Please take a moment to fill out this brief survey in preparation for the award ceremony. https://docs.google.com/a/benhamner.com/spreadsheet/viewform?formkey=dHd3SkRBRk0td19Bby1peFVyUDNVa1E6MQ#gid=0 Thanks, and good luck as we near the final stretch of the contest!",0,None,3 ,Mon Apr 09 2012 12:04:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1701,/competitions/asap-aes,None
/yixiang,Essay Topic,"Hi, I have a quick and dumb question. I know the essay topics are given for each set of the essays, but will the essay topic be considered as an input to our model? Thank you.",1,None,2 ,Tue Apr 10 2012 04:41:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1704,/competitions/asap-aes,None
/twofirst,Where these user_keywords come from?,"Hi~ I learnt that a user_keyword is extracted from the tweet/retweet/comment by the user. But, I found some strange records like this: A user, user_id:1780050, has not any tweet/retweet/comment, but has many user_keywords as follow: 234:0.2916;100:0.2804;87:0.2439;151:0.243;703:0.2187;320:0.2153;379:0.2144;251:0.2048;125:0.204;443:0.191;1117:0.1554;6161:0.1484;874:0.1476;215:0.1432;3383:0.1406;8215:0.138;1676:0.1345;3588:0.1302;1975:0.1302;1429:0.1267;1795:0.1241;1015:0.1241;106:0.1233;626:0.118;291:0.1172;269:0.1172;172:0.1172;632:0.1163;149:0.1154;2109:0.1137;2047:0.1137;9563:0.1076;427:0.1076;1643:0.1068;901:0.1033 In addition, there is no record about his followee and follower. So I wonder where these user_keywords come from? Thank you~",0,None,2 ,Tue Apr 10 2012 13:40:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1705,/competitions/kddcup2012-track1,None
/solari,Where is the test data?,"There are 2 submissions have been made, but where is the test data? Thank you~",0,None,2 ,Wed Apr 11 2012 07:31:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1706,/competitions/kddcup2012-track2,128th
/benhamner,Release of Test Data and Launch of Competition,"We're excited to be able to fully launch this competition! The test data may now be downloaded from the [Link]:https://www.kddcup2012.org/c/kddcup2012-track2/data, along with some basic single-feature benchmarks and the corresponding code to create them. Sample python code for the evaluation metric along with associated test cases has been provided as well. Note that the AUC metric (as implemented in the scoreClickAUC function) is the only one being used to evaluate this track. Also, note that the test set and submission files are sizeable (there are 20297594 test samples). It may take several minutes to upload your submission, and an additional minute or two to evaluate it once it has been uploaded. We strongly encourage you to compress your submissions (.7z, .zip, .rar, or .gz) before uploading them. Please post any questions you may have on the data or the structure of the competition in the forums. Bon courage!",0,None,6 ,Wed Apr 11 2012 10:43:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1708,/competitions/kddcup2012-track2,None
/chefele,Final Evaluation / Timeline Questions,"I have some questions about the timelines for the end of the contest: 1. The submission instructions say that ""During the last two weeks of the model training period, you will be able to upload your models to Kaggle."" So when does that start? (Two weeks back from April 23rd was April 8th...). Also, will we upload our models via the submissions page? 2. Will leaderboard submissions be suspended after April 22nd? Or will they be allowed?",0,None,12 ,Thu Apr 12 2012 04:58:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1711,/competitions/asap-aes,2nd
/morenoh149,svm question (newbie question),I was wondering why I haven't heard anyone use an SVM for this challenge. I tried using one on this dataset but didn't get good results (actually worse than benchmark). I was wondering if anyone could explain why this is? I understand the data doesn't become linearly seperable by any of the common kernel tricks. But why would performance be worse after doing a kernel trick? could anyone explain a bit of the theory here. Thank you.,0,None,1 Comment,Thu Apr 12 2012 05:42:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1712,/competitions/WhatDoYouKnow,None
/gaborfodor,Final Leaderboard,Will we get a cleaned final leaderboard after the competition is finished? I am really interested how many teams try to solve the problem not how many different email adresses make submissions. eg.: 98 ↓23 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34220 11 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34220 99 ↓23 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34217 6 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34217 100 ↓23 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34217 7 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34217 101 ↓22 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34210 2 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34210 102 ↓22 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34201 9 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34201 103 ↓22 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34192 1 [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.34192,0,None,1 Comment,Thu Apr 12 2012 14:09:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1713,/competitions/kddcup2012-track1,55th
/kurak38,bug in python scoreKDD,"Traceback (most recent call last): File ""scoreKDD.py"", line 238, in main() File ""scoreKDD.py"", line 230, in main auc = scoreClickAUC(num_clicks, num_impressions, predicted_ctr) File ""scoreKDD.py"", line 122, in scoreClickAUC auc = auc_temp / (click_sum * no_click_sum)ZeroDivisionError: float division by zero when all clicks equals to 0 Traceback (most recent call last): File ""scoreKDD.py"", line 238, in <module> main() File ""scoreKDD.py"", line 230, in main auc = scoreClickAUC(num_clicks, num_impressions, predicted_ctr) File ""scoreKDD.py"", line 101, in scoreClickAUC reverse=True)MemoryError almost 2gb allocated but still some memory free, why this cost so many memory?",0,None,2 ,Thu Apr 12 2012 14:16:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1714,/competitions/kddcup2012-track2,77th
/ccccat,modified version of the terms and conditions ,Is it possible to post modified version of the terms and conditions related to this competition in more readable format than zip file with a bunch of xml files ?,0,None,5 ,Thu Apr 12 2012 21:07:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1715,/competitions/bioresponse,1st
/benhamner,Model Submission,"You may now upload your models to our server, by attaching a model file to the submission as a part of the submission process. The model should be contained within an archive and include all the code and data necessary to run your model on unseen samples. It should contain a README with explicit instructions on how to do this. Ideally, running your model on new samples will entail running a script (or a function from the MATLAB / R command lines) that accepts a path to the test set and an output file path as input parameters. In the event that your model uses any form of stochastic feature extraction, classification, or regression, set the random seed to a constant so that the results are repeatable. In the README, please include information on the platform you used to run your models as well as the estimated execution time. In order to be eligible for prizes, your model must be submitted prior to the release of the test set & be able to reproduce your results on both the validation and test sets.",5,None,18 ,Thu Apr 12 2012 21:53:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1716,/competitions/asap-aes,None
/jamesxli1,LogLoss versus Hit Ratio,"I have noticed that there have been some confussion and cretics about the LogLoss performance metric. I too think it is not the best metric for this competition, as many classification methods just try to get the best hit ratio whereas LogLoss extremely penalizes prediction misses. For instance, if your submission contains only 0 and 1, a single miss predicition will totally mess up your score. Nevertheless, for people using binary predicators, there is a simle way to convert a hit ratio, H, i.e. correct-preditions/total-samples, to LogLoss L: L = - (H * log(1-e) + (1-H)*log(e)) where e is the small number used to represent the no-response state (and 1 - e for the response state). So, in order to minimize L for a given hit ratio H you need to set e to the value 1-H. This means if you know your hit ratio H, you should use (1-H, H) to represent non-response and response state instead of 0 and 1, when submitting results. Of course, the hit ratio is not known before you have made a submission. You might estimate H with some kind of cross-validation. But, if you have made a submission with an e and got back a L reported from the Leaderboard, you can calculate the real H using above form. And using the calculated H, you can make a second submission to improve your score, for the leaderboard at least. Since the LogLoss reported on LeaderBoard is not done with the final real data, you won't know the real LogLoss until the end of the competition. Yet, using the ""optimization"" method described here, you can definitely improve your score on the leaderboard ( and probably also in the final evaluation.)",1,bronze,2 ,Thu Apr 12 2012 22:31:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1717,/competitions/bioresponse,380th
/iguyon,Fill out FACT SHEETS,"As per the [Link]:http://www.kaggle.com/c/GestureChallenge/details/Rules, to be part of the official final ranking and become eligible for prizes, you must fill out a short survey ( [Link]:https://docs.google.com/a/chalearn.org/spreadsheet/viewform?formkey=dHhUY3d2NDlkcEgwUlNJMmZDWTBCa0E6MQ) about your method. The deadline for submitting fact sheets is April 20, 2012.",0,None,4 ,Fri Apr 13 2012 18:59:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1720,/competitions/GestureChallenge,None
/kurak38,rank by AUC only?,"solution file: 0.5,100.7,100.5,100.1,10 submission file 0.50.70.50.1 AUC = 0.727273 for submission file 0.50.80.50.1 AUC = 0.727273 I can't get more then that on AUC result. Changes in the submission takes effect to AUC only when change the order of lines and order of lines correlated to solution file. And this is correct to python scoring code, but it don't measure performance as it was mention before on forum The perfect classifier doesn't have AUC=1.0 . How do you want to achieve fair rank? Another thing is that training data has 95% clicks=0 and test data is far from that as you can see how much score has ad_id_benchmark, which in my opinion is ridiculous. As I understand it gives answers based on ad id history. How you can build classfier based on unique property... It is classical example of overfitting, and giving to it new data it will have 0% of correctness.",0,None,2 ,Fri Apr 13 2012 23:15:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1721,/competitions/kddcup2012-track2,77th
/ziyaowei,Is there any caveats in the submission system on Kaggle here?,"Hi, I am experiencing some problem with the submission system. I just submitted my 4th entry, but the system recorded that I submitted twice. If anyone could check, the files are identical, the submission time only differs by one second, and I only submitted once. I don't mean to ask anyone to cancel my submission, but I am just concerned that is there any tricks / bug in the submission system that could cause this? Or maybe problem with my system / brower that caused this? Thanks!",0,None,1 Comment,Sun Apr 15 2012 04:55:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1724,/competitions/bioresponse,581st
/zapper0,compute platforms,This is a pretty basic question but is there a reasonably priced cloud computing platform suitable for an individual doing data analysis? I can't use the machines at my workplace and don't really want to purchase something comparable if there's a reasonable rental option.,0,None,2 ,Sun Apr 15 2012 18:51:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1725,None,None
/qsicanada,Registrant vs Entrant,"I was hoping to able to use the data for a slightly different purpose and potentially enter the contest, but after I read the Acceptance form, I see that (potentially) even being a registrant might mean my IP becomes the property of HPN...can anyone comment / clarify this for me? Thanks. John O'",0,None,1 Comment,Sun Apr 15 2012 21:53:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1726,/competitions/hhp,None
/amatsukawa,One model for all sets?,"I just wanted to confirm something. We are supposed to train ONE model for all essays, correct? Not one model for each of the sets (same model, just trained on a subset of the data corresponding to each set of essays)? I ask because each set may have its own strong predictors, even if we are using the same model template. A trivial example: say we look for the word ""relativity"" in papers and use that as a precitor. This may be a good predictor for a set of scientific papers, but probably not in general.",0,None,1 Comment,Sun Apr 15 2012 22:51:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1728,/competitions/asap-aes,135th
/pawelkasprowski,Just before the end,"Dear Participants, The competition is coming to the end. We'd like to thank all competitors for their efforts - escpecially the best ones! :) Number of submissions ensures us that the competition's aim was interesting and challenging for kagglers. Because the main purpose was to establish some standards how to analyze eye movements we'd like to ask you ALL for information about methodologies that you have used. Please complete a survey available here: [Link]:http://www.kasprowski.pl/emvic/kaggle_survey.php Information about competitors that completed the survey will be published during BTAS conference and on www.emvic.org web page. Unfortunately the company that promised to give a prize is still processing our request. But we still hope that we will have something for some best submitters, so please leave us contact information in the survey! Thanks a lot to the whole Kaggle staff, especially to Ben for help in organizing the competition!",0,None,4 ,Mon Apr 16 2012 00:19:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1729,/competitions/emvic,None
/benhamner,Competition Wrapup,"Congratulations to IRIG, Killian, and Dorothy for placing in the top three in this competition, and to all the other participants! We would like to invite any participant who placed highly or think they came across something particularly novel or interesting with this data to submit a post to the Kaggle blog. Follow our standard ""How I Did It"" format for your posts (see http://blog.kaggle.com/2012/01/26/mind-over-market-the-algo-trading-challenge-4th-place-finishers/ for an example of an excellent one), and feel free to add or remove sections as necessary. Please send your posts to margit.zwemer [at] kaggle and CC me ( ben [at] kaggle ). As Pawel said, please complete the [Link]:http://www.kasprowski.pl/emvic/kaggle_survey.php. Thanks for competing in this contest, and helping determine the feasibility of eye movements for identifying and authenticating people. I look forward to seeing you in future contests!",0,None,1 Comment,Mon Apr 16 2012 03:45:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1730,/competitions/emvic,None
/benhamner,Competition Wrapup,"Congratulations to Wayne, Andrew & Lewis, and Yanir for placing in the top three in this competition, and to all the other participants! We would like to invite any participant who placed highly or think they came across something particularly novel or interesting with this data to submit a post to the Kaggle blog. Follow our standard ""How I Did It"" format for your posts (see [Link]:http://blog.kaggle.com/2012/01/26/mind-over-market-the-algo-trading-challenge-4th-place-finishers/ for an example of an excellent one), and feel free to add or remove sections as necessary. Please send your posts to margit.zwemer [at] kaggle and CC me ( ben [at] kaggle ). Thanks for competing in this contest, and helping determine how to identify arabic writers based on their handwriting. I look forward to seeing you in future contests!",0,None,7 ,Mon Apr 16 2012 03:51:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1731,/competitions/awic2012,26th
/suvor38361,A question about the data set,"Hi, everybody! Help me, please.. I'm not sure I got the right data.. (HHP_release3.zip) - At opening a data file (Members.csv for example) Excel write ""The file is loaded not completely"" !!!? -Each data file contains equally 65535 records, but some MembersID are repeat, and others are absent !! Then, why the number of records is equally? So, I'm afraid I got the data not completely.. Thanks..",0,None,5 ,Mon Apr 16 2012 08:50:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1732,/competitions/hhp,737th
/ahassaine,Methods description,"Dear all, Gongratulations to the winning team and all other participants! As mentioned in the rules, an article about this competition will be published in the ICFHR2012 proceedings. We will be very grateful if you could send us your name, affiliation and a description of your method along with reference to publications (if available). We will be interested in hearing about what you tried, what didn’t work, and what ended up working. Also, if you have used the features we provided, please mention this in your description. You might post this either directly on this forum or by sending an email to hassaine (at) qu.edu.qa Thanks again for participating, Ali",2,None,1 Comment,Mon Apr 16 2012 09:32:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1733,/competitions/awic2012,None
/djeddichawki,Private Leaderboard,"I think there's a bug in the private leaderboard, the identification rate recorded by my system is 91.275% it means that 208.107 documents has been identified correctly. Do you think that this result is correct",0,None,5 ,Mon Apr 16 2012 09:44:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1734,/competitions/awic2012,6th
/redsfan,Creating algorithms 101,"Ok, I'm brand new here without any math or statistics courses for 30 years. But I'm really interested in the Kaggle notion of creating an algorithm to predict behavior. My basic quesiton is, what field of math have I stumbled into? Is this calculus, statistics, algebra, all the above? What types of college refresher courses in math and/or computer science should I look into? I'm a librarian, and I have access to plenty of data (and least I think it's plenty) on what types of items library users checkout and return or don't bring back. There's got to be some kind of algorithms to be used here, but I don't know what tools I need to start. Thanks!",0,None,3 ,Mon Apr 16 2012 15:49:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1737,None,None
/quatrain,Error function in SGD,"hello all, I'm just curious about the function we want to minimize. The MAP we want to minimize is more an rank error measure than a quadratic error. But the only thing that worked for my models is to minimize the MSE over the training dataset. My best model is a kind of AFM (asymetric factor model). Have anyone of you used other techniques than MSE to train factor models ?",0,None,8 ,Mon Apr 16 2012 22:17:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1738,/competitions/kddcup2012-track1,20th
/sghosh,how to use the logloss metric,"I am totally new in machine learning and hence my questions might seem absolutely naive to most of you. I am listing my questions below 1. In the log loss definition N is the number of samples. Does N mean the number of features of number of molecules? Again since I am new in this field this question might look very dumb. 2. Is the main idea of this kind of approach is to find logloss values of the test data assuming a true value (1 or 0) and then iterate the true value such that the logloss value matches the one that I calculated from the training file? The problem with this method is to match the logloss value of each row of the test data to several logloss values of the training data set. Not sure if I was able to explain the question. 3. Can you please suggest any online machine learning literature or book that is free to download and discusses about logloss metric to predict responses Thanks, Ghosh",0,None,5 ,Mon Apr 16 2012 22:44:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1739,/competitions/bioresponse,658th
/del=8276820997c79039,What Machine Learning Frame Work can be used,Hello Isabelle I was wondering what approach is relevant to this problem. Assume that we have solved the problem of action segmentation. What we then have is a master dataset which consists of multiple data sets (one per user) each with a limited amount of data (~150 labeled data points per user. I have considered all the segmented action videos). The aim is to learn a classifier for each of these small datasets such that every new classifier learns from the entire data set or from the previous classifiers. In the end we have a system that can churn out a classifier given just one data point per label for a new classifier. Have I summarized the problem correctly? I am not aware of what Machine Learning frameworks are there to address this kind of a problem. The closest is Transfer Learning. Can you please give me some hints on how you would approach this problem and what Machine learning frameworks might be applied to solve this problem. I am not interested in the competetion as much as in the Machine Learning framework. Thank you for providing the data and also answering all the questions so far. Regards Hemanth,0,None,1 Comment,Tue Apr 17 2012 10:22:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1741,/competitions/GestureChallenge,None
/jfister,Runtime Assurances,"As I prepare our model for smooth running, I'm anticipating potential issues and wanting to head them off by clearly understanding what is expected in terms of the runtime environment. I've installed Ruby codebases on several slightly different Linux platforms and still encounter non-trivial setup issues, so I'm having some concerns that folks (potentially new to Ruby) will be able to do so w/o a hitch. Can we be assured that the proper version of libraries and runtimes will be installed (e.g., Ruby 1.9.2)? In some ways this is like a contract: we provide the code, but have contractual expectations about the runtime environment. How much of this is our responsibility to ensure the runtime is setup properly? And what can we do to help the process?",0,None,2 ,Tue Apr 17 2012 15:53:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1743,/competitions/asap-aes,3rd
/cucumberguagua,user-item pairs in test and training,"Does anyone know that whether the (user, item) pairs in the testSet appear in the trainingSet?(Ideally, it shouldn't) Besides,are individual users and individual items in the testSet appear in the trainingSet? I read from another post that ""some users in testing data are not in the training data"" [Link]:http://www.kddcup2012.org/c/kddcup2012-track1/forums/t/1445/possible-official-validation-set. So what about the items in testSet? Thanks very much!",0,None,1 Comment,Wed Apr 18 2012 16:11:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1749,/competitions/kddcup2012-track1,267th
/sriharij,new user,"I have few questions on submissions: 1. What is the format that we need to submit the scored data (test data) (csv other formats)? 2. Do we need to just submit the predicted probablities or predicted ""activity"" as well ? What is the variable name that we should give the probablities? 3. If I submit the predictions today and lets say I come up with the better model tomorrow can we resubmit the new data/model? 4. Can we use commercially avaiable software packages to develop models? Thanks",0,None,3 ,Thu Apr 19 2012 03:40:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1752,/competitions/bioresponse,488th
/dsweet,rf_benchmark.py contains R and Python modules?,"I'm confused by the rf_benchmark.py file. It appears to call both python and R in the same file. python - ""from sklearn.ensemble import RandomForestClassifier"" R- ""import csv_io"" I've only tried this in python (which doesn't recognize the ""csv_io"" module) but I know sklearn is a python module. What am I missing?",0,None,2 ,Fri Apr 20 2012 15:33:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1755,/competitions/bioresponse,None
/andreas,Bizarre Difference in training/test set,"I tried to use KNN (with euclidean distance in feature space), and I'd get typically a 0.51 training error. Then I used it for the test set, and boy, did it loose... KNN wasn't able to perform much better than random guessing, and much worse than uniform probability. I set out to discover why, and surprisingly, the distances between testset and training set don't go below 6 units, whereas the distances within the training set and within the test set would do so easily. I might still be doing something wrong, but overall KNN seems to be not that valuable....",3,bronze,9 ,Fri Apr 20 2012 16:03:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1756,/competitions/bioresponse,436th
/cckk3333,Negative click?,I have found some strange instance as following? -1 43 9680905456514508800 20724306 33923 2 2 24171 16856 197502 167212 20561-1 21 5120683440510468096 8676724 1268 1 1 150 40 45 13 129283-1 12 14340390157469403136 21163927 23808 3 1 23518 14976 38973 136 0-1 108 17586747310878498816 20561491 1998 2 2 6847 23247 21566 1592 0-1 79 12057878999086460928 20192676 27961 1 1 11231 7659 9839 99 0-1 34 14340390157469403136 3126903 23777 2 1 47657 26500 44157 40493 0-1 69 15689252236861136896 21176564 24130 3 2 11 96 1229 608 0-1 13 126550245966758304 21243951 36263 2 1 7578 4807 20681 179 0-1 12 8802768287123154944 21644405 26278 3 1 8029 1370 2892 3164 0-1 14 4203081172173603840 4427101 28647 2 1 15549 39625 221055 194055 0-1 48 12972158645927618560 10869499 29128 1 1 3082 2791 3015 20863 0-1 18 15145480155589095424 21183708 23807 2 1 13941 152348 284962 8 0-1 62 18414892642356570112 21222486 36185 3 2 625 835 68105 61049 0-1 41 13756257544627677184 8180996 24354 1 1 5628 5619 10744 13593 0-1 13 14340390157469403136 4428860 23808 3 1 11077 13115 12945 12777 0-1 21 15145480155589095424 21156726 23807 2 1 464 354 6803 8 0-1 81 11363457806790746112 20137552 26278 2 1 2259 57 124 176 0-1 15 12057878999086460928 20163493 27961 2 2 104930 55815 131130 128342 0-1 93 1729963849377387520 9583861 23637 1 1 413 2826 17579 145 0-1 46 12057878999086460928 20222693 27961 1 1 107646 326 215 319 0-1 74 11315908569713166336 20311334 18070 2 1 845 4573 2109 1190 0-1 15 15145480155589095424 21183716 23807 3 1 256 374 441 8 0 what does it mean?,0,None,2 ,Sat Apr 21 2012 07:22:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1757,/competitions/kddcup2012-track2,13th
/jeremyatia,Data disposition,"Hi, When you dispose the data corresponding to the same variables ( like : trade_size trade_size_last{1} ..) if you look at the top left of a cell you can see the same value. Why ?? Thx [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2207/trade_size.csv",0,None,1 Comment,Sat Apr 21 2012 20:59:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1758,/competitions/benchmark-bond-trade-price-challenge,None
/stellar,minimization function,"Hi Admin, I might have missed the answer to my questions in a previous topic but I want to confirm that the data columns we are allowed to use in the prediction function are cols E through BI (as displayed in excel), ie all columns from 'Current Coupon' to 'curve_based_price_last10' inclusive. I also want to confirm that we are minimizing ∑i(weighti * abs(trade_pricei - f(Xi))) where f is the prediction function and X is the vector of data from columns E to BI and i refers to row i. Does that make sense (sorry I cant get the symbols the way I want them but it should be clear enough.) thanks",0,None,5 ,Sun Apr 22 2012 06:48:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1759,/competitions/benchmark-bond-trade-price-challenge,191st
/darlingmew,Question about the code,"A friend told me that this competition requires us to use matlab or R. However, I didn't see the requirement on the website. Can I use Eviews or use both Eviews and matlab?",0,None,2 ,Sun Apr 22 2012 09:53:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1760,/competitions/benchmark-bond-trade-price-challenge,252nd
/zaythedatascientist,About Results and User Keyword,What is the meaning of Result = 1? Does it mean user click the item name (to check profile) or actually following the item? Can someone explain how the user keywords are calculated mathematically? I think it might be helpful when making assumption if we know the details. Thanks.,0,None,1 Comment,Sun Apr 22 2012 11:00:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1761,/competitions/kddcup2012-track1,641st
/salimali,Quality Control on test set,"Ben, A couple of things we noticed in the data that you might want to check on the test set. 1. The resolved score is supposed to be the max of rater1/rater2. This was not always the case for sets 5 & 6. 2. There were duplicate essays in the train set and they actually had different resolved scores. 3. There were essays in the train set that also appeared in the valid set.",0,None,11 ,Sun Apr 22 2012 14:12:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1762,/competitions/asap-aes,2nd
/yogurt,A lot of Australians in data mining?,"Given that Australia only has a population of 22 million, I see a lot of Australians involved in data mining and statistical analysis. Is data mining very popular in Austalia?",0,None,6 ,Sun Apr 22 2012 18:11:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1763,None,None
/zygmunt,How to do blending,"From results of different competitions, blending seems like an obvious way to go. I would like to learn how to blend. My idea comes from KDD Cup 2010 writeup by Toscher und Jahrer, and is roughly as follows: you have a bunch of classifiers (models) you take each of them and perform cross-validation on a training set for each classifier, collect predictions from each fold of CV. These predictions will be one column in a blender training set, B_train train each classifier on a full training set and get predictions for a test set. These predictions will be one column in a blender test set, B_test train a blender on B_train get predictions for B_test. Those are the end product Here come the questions: Is this correct? How many classifiers do you need for blending? Do you put some other data into B_train, or just CV predictions? What classifier do you use as a blender (linear, NN...)?",3,bronze,6 ,Sun Apr 22 2012 21:59:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1765,/competitions/bioresponse,290th
/jfister,Labelling Data,"Ben, Just wanted to publicly verify that labelling data using previous submissions is not allowed. Instead, ""Source of the labels should be generated on-the-fly for the general model training"". Is that still correct? Thanks,",0,None,1 Comment,Sun Apr 22 2012 22:54:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1766,/competitions/asap-aes,3rd
/dgboy2000,When is the next phase of the competition?,Thanks for putting on a great contest! We are excited for phase 2: grading short answer responses. Can you please let us know when phase 2 will begin?,0,None,1 Comment,Mon Apr 23 2012 02:13:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1767,/competitions/asap-aes,5th
/benhamner,Test Data Released,"Hi all, The test data has now been uploaded. Please run your models on this data and upload the submission as soon as possible. While you technically have until April 30 to do so, it will make scheduling and booking flights for the winners easier if you upload your results well before then. When you're making a submission, it should have 4854 rows (or 4855 with a header), not the number it says on the submissions page. Once you make the submission, it will say that you scored 0.0000 on the public set. This is fine, and it means your submission was parsed correctly. Thanks for your participation in this contest so far! Ben",0,None,21 ,Mon Apr 23 2012 19:01:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1768,/competitions/asap-aes,None
/benhamner,Please Select Your Final Submission,Please select your final selection for scoring once you submit it. This will make it easier for us to check / verify on the backend.,0,None,3 ,Tue Apr 24 2012 03:46:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1769,/competitions/asap-aes,None
/squaredloss,Debriefing,"This was my first Kaggle competition and I must say I had a BLAST. I think a couple things made this competition especially interesting. I'd love to hear what other people thought (and tried). Features: There was practically no limit to the different features and techniques you could try. I imagine a lot of these competitions involve a fairly strict feature set and winning is a matter of hyper tuning and mega blending. I never got any amazing traction beyond length/spelling/grammar features and LSA, but it was fun to try things out. Wish I had showed up a little earlier to the competition and had more time. Ordinal response: Having various ordinal ranges to compare side-by-side was interesting. On some of the larger ranges (sets 7 and 8) pure regression worked well, on some shorter ranges (set 3) I found pure classification worked better, while most were ameniable in some way to true ordinal methods. Some blend of all three was optimal for me in the end. The response also had observed heterogeneous variances. I never got any traction with weighted methods (giving samples where rater 1 and 2 disagreed less weight), but I'd be interested in hearing if other people did. I do think it was unfortunate that we were optimizing for an obviously non-optimal outcome. A lot of the human ratings were bad, and more than a few were compeletly non-sensical, as has been mentioned elsewhere in this forum. A lot of the larger errors in my models were coming from essays that (to me) seemed mis-rated. There was also something unsatisfying about measuring for proxies and correlates of good writing, instead of focusing on what actually makes a good essay. Not sure how you avoid these problems though. Looking forward to more Kaggling in the future, time (and girlfriend...) permitting. P.S. I built a python framework for rapid machine learning prototyping (using pandas, scikit and rpy2) as I worked on this competition, it'll be on github shortly. Hopefully any fellow python hackers out there will find it useful :)",3,bronze,3 ,Tue Apr 24 2012 05:07:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1770,/competitions/asap-aes,120th
/graphlab,KDD CUP using GraphLab,"Hi everyone! Following the great excitement of last year KDD cup, where solutions based on [Link]:http://graphlab.org CMU open source machine learning framework,won the [Link]:http://bickson.blogspot.com/2012/04/kdd-cup-2011-reflection.htmlin track 1 (and was also used at the 1st place solution), we continue this tradition by providing tools for competitors for this year contest. We have added a parser library, which prepares the training data by splitting it into meaningful validation and training, as well as splits the test data as required. We provide scripts for packaging the solution and generating linear features based on the training and validation data. Currently, our team is at the 6th place at track 2: http://bickson.blogspot.com/2012/04/kdd-cup-update.html . Unfortuantely, as the contest is heating up we did not yet have time to improve our tools for perfection. this is why we would love to get any feedback from our users. We promise to give a quick and high priority support to anyone who wants to try it out. Best, Danny Bickson, Project Scientist, Carnegie Mellon University",1,bronze,1 Comment,Tue Apr 24 2012 08:56:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1771,/competitions/kddcup2012-track1,141st
/benhamner,Public Leaderboard Performance Over Time,Made a quick plot of the public leaderboard performance over the course of the competition - thought y'all would be interested. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2254/Automated Essay Scoring.png,4,bronze,22 ,Wed Apr 25 2012 10:27:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1775,/competitions/asap-aes,None
/byang1,Understanding the AUC,"I don't understand the AUC metric in this contest. The paper referenced in the evaluation page only talks about positive and negative examples, and here we have clicks and impressions. How's the AUC applied here ?",0,None,7 ,Wed Apr 25 2012 18:55:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1776,/competitions/kddcup2012-track2,None
/teaserebotier,Substantial difference in held out estimates and leaderbard score,"I'm having difficulties reconciliating internal and leaderboard estimates of mean weighted error. It's not a consistent ratio either but the leaderboard estimate is about 10% higher on average. My latest internal estimate was obtained by removing entirely 1/10th of the training set and naming it testing set before re-running the entire process from scratch... I can understand overlearning but this is not a hyperparameter optimization, it's just a one-shot post-training estimate. Do I understand the metrics wrong? I read: Performance evaluation will be conducted using mean absolute error. Each observation will be weighted as indicated by the weight column. This weight is calculated as the square root of the time since the last observation, scaled so that the mean weight is 1. Which for me corresponds to the following formula in MATLAB code: error_estimate = sum( abs( (predictions-witheld_answers).*weights ) / sum(weights); (By the way, I don't understand why weights had to be scaled by an arbitrary constant from sqrt(test_data(:,2)+1). The constant cancels out in the error computation). What am I getting wrong? Are others meeting the same discrepancy?",0,None,12 ,Thu Apr 26 2012 00:02:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1778,/competitions/benchmark-bond-trade-price-challenge,37th
/acgrama,"""best practice"" for tackling a problem","I am relatively new to ML, and I am curious how you usually tackle a new problem (be it Kaggle or some other data set). Do you 1) start playing on it with functions of an existing ML library (like pyML, or liblinear, etc), or 2) implement from scratch your own home-brew algorithm as a variation of a certain method? Thanks!",0,None,2 ,Thu Apr 26 2012 12:53:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1781,None,None
/bhaskher,Visulaizing Class boundry for Logistic regression.,"Hi, I am able to visualize how linear regression works, e.g. the W and how it minimizes the Square error The fact that MLE is same as Least Squared error for regression, helps to visualise what is going on. When we plug it in to a sigmoid and use it for classification, the MLE is slightly different. It minimises the miss-classification (I think ..) I am bit confused with decision boundrys for Logistic Regression and SVM. Can someone please help? When drawning an approximate decision boundry for logistic regression what are the key points? In what way is it different from SVM ( perhaps sensitivity to outliers ) ? Thanks Shekhar",0,None,2 ,Thu Apr 26 2012 17:33:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1782,/competitions/mlpr-challenge,34th
/aggelosgkiokas,Evaluation Measures,"Dear all,I was thinking that evaluation measures should take account the number of times that a user listened to a song, i.e. if user listened song X more times than song Y, an algorithm that outputs only X should be ranked better than an algorithm that outputs only Y.Maybe a practical measure could be the Discounted Cumulative Gain (DCG) or the normalized DCG:Let i=1..T the total results from an algorithmDCG at rank k is:DCG(k) = rel(1)+sum(rel(i)/log2(i)), i=2..kwhere rel(i) denotes the relevance of song i to target user.rel(i) could be something like:rel(i) = (#listens of song ranked i) / (#total_listens from user)Normalized DCG is nDCG(k) = DCG(k)/IDCG(k)where IDCG(k) is the ideal ranking at k-results, i.e the best DCG that can be achieved at k results.Then a mean value can be computed from nDCG() for all k=1..T for each user.Finally, compute the mean value across all users.Another formulation could be a modification of mAP as described in the challenge description paper.M(u,i) can be replaced by M'(u,i) in Eq. 2 where M'(u,i) is the #listens of user u for song i.Then nu should be replaced with the total listens for user u.Is this modification valid? Any other measure suggestions??I am looking forward to hearing your comments/suggestions.Best regards,Aggelos Gkiokas",0,None,3 ,Thu Apr 26 2012 18:04:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1783,/competitions/msdchallenge,18th
/brianmcfee,Looking for a team?,"So you want to build a music recommender, but not by yourself? Use this thread to find partners and build teams. Good luck! --Brian",0,None,2 ,Thu Apr 26 2012 18:37:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1784,/competitions/msdchallenge,None
/aleczopf,Allowable Data Sources,"Are there specific criteria for additional data sources that could be used to perform model training? For example, if I had proprietary data about tastes, or collected that data myself as part of this challenge, would such a source be allowed? Would I be required to make such data public during or after the competition?",0,None,3 ,Thu Apr 26 2012 19:15:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1785,/competitions/msdchallenge,None
/eigenvector,Limit on submissions?,"Hi Folks, I'm new to Kaggle, and I have a question that I couldn't find the answer to. Is there a limit on the # of submissions one can make towards the same competition? In the rules for the Heritage Health Prize, I noticed that they limit one submission per calendar year, but I couldn't find a similar rule in the Benchmark Bond Trade challenge. However, some of the postings in this forum allude to the fact that there may be a limit. Could someone please clarify this? Thank you!",0,None,2 ,Fri Apr 27 2012 00:25:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1786,/competitions/benchmark-bond-trade-price-challenge,None
/vladimirbelikov,Getting Started Documentation,I can't download [Link]:http://www.kaggle.com/c/msdchallenge/download/MSDChallengeGettingstarted.pdf -- it just returns me to the same page. Is it my mistake or server-side problem?,0,None,7 ,Fri Apr 27 2012 10:35:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1788,/competitions/msdchallenge,None
/jfister,Award Ceremony Expectations?,"Ben, I was wondering if you would be able to provide additional info about the award ceremony that would allow us to make a better assessment of the value in making the trip. For anyone in the top 3 or for those living nearby, the decision is an easy one. But for anyone travelling at a distance it becomes more dicey. For example, it could be that Kaggle has simply invited vendors and contestants, but there are no clear intentions (besides informal networking), nor is it clear which vendors will be there. On the other extreme, it could be an event jointly planned by vendors and Kaggle to facilitate the vendors' potential hiring, licensing, or consulting with contestants in the near future. Do you know which of these scenarios is closer to reality? Do you know which vendors will be attending, and what their possible intentions are? Any representatives from state departments or standardized testing services? Any other info that would be helpful to us? Sorry if I'm prying too much, it's just that the trip could be very costly for many and the description is so vague that it's difficult to know if the trip has no value, or if it's incredibly important. I'm sure any info you can provide would be very much appreciated.",6,silver,2 ,Fri Apr 27 2012 17:41:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1789,/competitions/asap-aes,3rd
/martinoleary,Open source solutions,"Seeing as there's no prize at stake in this contest, I had an idea that I would develop a solution ""out in the open"", writing about it as I go along, and putting everything in a GitHub repository for all to see. This would be a full attempt at solving the problem, not a simple benchmark or tutorial. I'm conscious though that not everybody would like to see public solutions, as these are likely to lead to lots of copycat solutions filling the leaderboard. I'd like to get a sense of how people feel about this: would people rather that I kept my work to myself, or shared it with everybody?",7,silver,8 ,Fri Apr 27 2012 22:29:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1790,/competitions/msdchallenge,37th
/matthew41243,Do you really mean the data is,"Do you really mean the data is in rows by date? Or is that a typo? If in rows then we have to pivot it, which seems like less than productive use of everybodies' time.",0,None,2 ,Fri Apr 27 2012 23:22:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1791,/competitions/dsg-hackathon,None
/dchudz,Welcome!,"Data will be uploaded at noon UTC, 5am PT, 8am ET, etc. tomorrow and the contest will last for 24 hours in hackathon location around the world and also remotely from wherever you like. Note that some information about the data, etc. may change before the hackathon start (though additions are more likely than other sorts of change).",0,None,16 ,Fri Apr 27 2012 23:26:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1792,/competitions/dsg-hackathon,22nd
/elistats,Data decription complete?,"I assume measurements happen at different sites and not a single site. Are locations provided (e.g. corresponding to EPA sites, I expect)? I didn't see that in the decription.",0,None,18 ,Fri Apr 27 2012 23:38:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1793,/competitions/dsg-hackathon,8th
/rambeaux,Climate/Weather Data API,"Hi All, The following website appears to have an open API for extracting localised weather history and general climatic patterns: http://www.ncdc.noaa.gov/cdo-web/webservices Now the challenge is in working out how to extract the information!",0,None,5 ,Sat Apr 28 2012 06:17:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1794,/competitions/dsg-hackathon,100th
/dchudz,Leaderboard by Location,"For this hackathon, we have leaderboards by location. When you form your team (the first time you make a submission), you can choose your site's location (or ""remote"" if you're not working from one of the hackathon sites). You will then show up on your site's leaderboard, and your site will be shown by your team name on the main leaderboard. If you're a Kaggle regular, you'll notice that's new for us.. We're intrigued by the idea!",0,None,2 ,Sat Apr 28 2012 06:43:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1795,/competitions/dsg-hackathon,22nd
/elgringo,Chunks with missing positions,"Dear management, in the data, I found 10 chunks that do not end at position 192. Moreover, none of the 192 positions is available for all 210 chunks. Is that something you can do something about? (Also: when this happens, I start predicting at 193 as in your sample submission, right?) (Edit: there are 12 chunks that do not end at position 192. Two of them - 94 and 153 - have no data at all!) Thanks",0,None,1 Comment,Sat Apr 28 2012 16:09:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1796,/competitions/dsg-hackathon,14th
/dchudz,submission limits,"""Each team will be able to make 8 submissions on Saturday, and 8 submissions on Sunday (where days are defined as periods from midnight to midnight UTC).""",0,None,2 ,Sat Apr 28 2012 16:44:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1798,/competitions/dsg-hackathon,22nd
/aaron13738,Wind Speed and Direction Data,"Two questions about the wind data: The data format describes the data as: WindDirection..Resultant_1 (direction the wind is blowing from given as an angle, e.g. a wind from the east is ""90"") WindDirection..Resultant_1018 (direction the wind is blowing from given as an angle, e.g. a wind from the east is ""90"") WindSpeed..Resultant_1 (wind speed)_(site number) WindSpeed..Resultant_1018_(site number) So it looks like there are two different Measures 1 and 1018. What is the difference between these? It looks like we are supposed to be able have Wind Speed (but not direction?) data for each site, But in the file I see only: ""WindDirection..Resultant_1"",""WindDirection..Resultant_1018"",""WindSpeed..Resultant_1"",""WindSpeed..Resultant_1018"", Any clarification would be appreciated.",0,None,1 Comment,Sat Apr 28 2012 16:49:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1799,/competitions/dsg-hackathon,35th
/aaron13738,Site locations of Sensors,"It looks like there are 9 meterologic sensors, but only 3 of them overlap with the pollutant sensors. Can you post the location of the other six sensors? The IDs are 14,22,52,76,3301 and 6005. -edit- It looks like the wind speeds are also unique sites, so add 1 and 1008 to that list.",0,None,3 ,Sat Apr 28 2012 16:54:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1800,/competitions/dsg-hackathon,35th
/mlearn,Submissions,What does it mean when a submission's score is pending? Been like that for over 5 minutes. Also I'm feeling a bit stupid as I've made a prediction when I should have said 1e-6. Is there any way you can get an error reported in this case as I've now wasted one of my submissions for the day. Thanks.,0,None,1 Comment,Sat Apr 28 2012 17:22:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1801,/competitions/dsg-hackathon,46th
/elistats,Just having fun with graphics (studying wind),Taylor said this looks best in Chrome for some reason... [Link]:http://euler.stat.yale.edu/%7Etba3/hack/movie2/,12,gold,1 Comment,Sat Apr 28 2012 17:24:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1802,/competitions/dsg-hackathon,8th
/philipskokoh,Weekday on test data?,I cannot find weekday on the test data (SubmissionZerosExceptNAs.csv). Am I missing something?,0,None,6 ,Sat Apr 28 2012 17:29:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1803,/competitions/dsg-hackathon,42nd
/ulrich,Standardised target variables?,"Hey all, we cannot reproduce mean=0, std=1 in the target variables as the description suggests. Can anyone confirm this? Cheers, Ulrich",0,None,2 ,Sat Apr 28 2012 18:18:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1805,/competitions/dsg-hackathon,20th
/chrisraimondi,Would others find data size useful for competition summary page?,"Not sure what others think, but in the section the lists $$$, time left, and number of teams - I wonder if others would find size of the data set useful. Obviously there is more than one way to measure data size, but something that would give people a clue might be nice (or perhaps in the future on a more detailed summary page). Nothing urgent, but just occurred to me. Could also give it in the form of #of included features, by number of training examples. Also in the section where you can download the data - for the REALLY large data sets - it might be nice to have a small (say first 1000 rows) of the data set available so you can get an idea without downloading the whole thing. or maybe even have tags like you are doing for users such as ""will fit into excel 2007"" or ""will fit into excel 2010""",0,None,2 ,Sat Apr 28 2012 18:39:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1806,None,None
/mgalle,Missing chunks in train data,"Test data contains chunks id 94 and 153, but these chunks do not appear in training data. Is this correct? What does this mean?",0,None,6 ,Sat Apr 28 2012 18:42:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1807,/competitions/dsg-hackathon,59th
/joecamel,Starting points in MIR,"My team is participating in the challenge as part of our course project in IR. We are novice in music information retrieval, so we're seeking for advice on starting points in the field. If you know some good papers, books or other resources which might be useful for the challenge, we would appreciate it. For example, I see that the book by Òscar Celma is mentioned on the webpage.",0,None,3 ,Sat Apr 28 2012 22:38:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1810,/competitions/msdchallenge,16th
/barrenwuffet,Use of predicted columns,"I'm a bit unsure about what types of inputs we're allowed to use. Since most of the columns aren't in the test data, are we allowed to use predicted versions of the columns that are present in the training data, but not in the test set. For instance, 'solar_radiation' is in the training data but not the test data. Can we use the training data to predict solar_radiation levels in the test data and then use the predicted value to predict the target values in the test data?",0,None,1 Comment,Sun Apr 29 2012 00:06:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1812,/competitions/dsg-hackathon,23rd
/johnsonbizint,Means is not working,So we replicated the exact file as the R code produces using MySql tables and SQL statements. Both our file and the R file produce an outrages absolute means error. What the hell are we doing wrong. The submission files with just 0s gives us a better score the mean by chunk and hour. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2398/submission_1.csv,0,None,1 Comment,Sun Apr 29 2012 02:13:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1813,/competitions/dsg-hackathon,91st
/sheac38395,"Submitting all zeros scores way worse than ""AllZeros""","I've tried submitting a relatively naive solution(based on hourly averages) and wound up with results comparable to ""SubmissionAllZerosEvenNAsVeryBadScore.csv"". I tried again, submitting all zeros except for NAs. Virtually the same score: Four thousand ""MAE units"" worse than it should be. Any ideas why I can score so poorly with those submissions? Has anyone else had this problem but resolved it? I'm not really interested in scoring on par with the ""SubmissionZerosExceptNAs.csv"", but if I can't even submit that properly, my odds of getting my more sophisticated solution to score well are pretty limited.",0,None,6 ,Sun Apr 29 2012 03:46:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1814,/competitions/dsg-hackathon,106th
/matthew41243,More missing data,"As an example, Chunk 129 has dropped records between 35 and 83, and many of the chunks are incomplete. It is making it very difficult to model. Any words of wisdom?",0,None,1 Comment,Sun Apr 29 2012 03:56:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1815,/competitions/dsg-hackathon,None
/notbatman,Submission Stuck in pending for last 5 mins.,Never happened before. Can the admins please check whats happening.,0,None,1 Comment,Sun Apr 29 2012 06:20:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1816,/competitions/dsg-hackathon,33rd
/mikel1,How many unique songs in Taste Profile dataset?,"http://labrosa.ee.columbia.edu/millionsong/tasteprofile states 384,546 unique MSD songs in Taste Profile dataset. I also find 384,546 unique songs. The number is correct.",0,None,3 ,Sun Apr 29 2012 12:38:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1817,/competitions/msdchallenge,14th
/jpetterson,Incorrect end time in leaderboard page,"20 minutes ago the leadearboard page was showing ""15 minutes"" in the ""Ends"" box, and I as a consequence I suspended my experiments and submitted everything I had at that time. To my surprise, after getting to ""0 minutes"" it went up to ""60 minutes"" again. Anyone else noticed that? I still had things to try, but now I ran out of submissions... James",3,bronze,3 ,Sun Apr 29 2012 13:09:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1818,/competitions/dsg-hackathon,2nd
/smcinerney,General approaches to partitioning the models?,"Now the competition is over, it would be interesting to share overall approaches: A) MODELING APPROACH: As I see it, you could in principle build individual models broken out by some or all of: 39 target/site combinations (or subcategories of, e.g. highly diurnal or seasonal vs lowly) 10 position_within_chunk {+1,2,3,4,5,10,17,24,28,72 hrs}. Many people used one short-term and one long-term model. 7 weekdays (might as well arbitrarily label these based on starting weekday; we are predicting for +8..11 days later) 12 months (based on month_most_common). Or at least sets of months. Monthly seasonality definitely varies by target(/site). 24 values of hour (or else you might have renumbered to start at midnight, or sunrise, which varies by month...) and there may be other creative criteria... To use 39*10*7*12*24 models would obviously be massive overkill (and the result would not be explanatory); it seems like most teams stuck to a small handful of models (typically 2 or 3). What were your approaches to partitioning the modeling? A2) WEATHER DATA & MODEL: There were 9 meteorological sites. Only 30.9% (11690/37821) rows had at least 30 out of 40 meteorological features non-NA. (Although site 14 was useless, and only site 52 had near-complete temperature data.) Did anyone build predictive weather models? How did people map the values from meteorological sites to pollution sites? How did you handle NAs? A3) DEANONYMIZING THE INDIVIDUAL TARGETS: (into NO2, fine particulates etc.), and/or piecewise modeling their underlying production mechanisms? Has anyone got the list of targets? B) VALIDATION SET: The training set (8 days) could be partitioned into 6 days training + 2 days validation set (or 7+1). Taking the NAs into account (e.g. last 4 days must not be NA). This can then used to validate models by scoring with overall MAE. That MAE could be broken out by {target-site, position_within_chunk, weekday, month_most_common} to get insight into where the worst contributions to MAE were coming from, and then tweak or further subdivide those models (or weights), and iterate until MAE on validation set seems acceptable (don't overfit!), and then make a submission (and verify that test MAE also improved, or else discard the changes). C) DATA CLEANING, AND HANDLING OF NAs: Any creative approaches? We did not spend time on this but a couple of teams (in NYC) seem to have spent huge time on it. Conversely, was there selection bias if you simply ignored all chunks with >25% missing data? All insights welcome...",4,bronze,21 ,Sun Apr 29 2012 16:08:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1821,/competitions/dsg-hackathon,48th
/mlearn,Leaderboard progression,I attach a picture of the leaderboard progression over time.,1,bronze,2 ,Sun Apr 29 2012 17:56:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1823,/competitions/dsg-hackathon,46th
/mlearn,Hackathon thoughts,"So what did people think of the intense hackathon nature of this competition? I've experienced the ""remote"" option and I'd be keen to hear from the on-site people. I thought it was fun to get the extra pressure / action however without proper video feeds / chatrooms it felt hard to be fully in touch. Kudos to the Canberra crew for setting something up but unfortunately few people joined in. As a ""remote"" person I found it hard to get enough time to fully take part - managed a stint near the beginning (even got to #1 on the leaderboard for a short while) but then needed to do other things. Tried to get into it again the next day but didn't have enough time to learn the the required new tricks before the competition timed out. So despite having enjoyed myself I may stick to the longer competitions in future as there's more time for learning and doing around the rest of life's activities.",0,None,4 ,Sun Apr 29 2012 18:04:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1824,/competitions/dsg-hackathon,46th
/zachmayer,Cross-validated vs. leaderboard error,What sort of differences have people been observation between their training set cross-validated error and leaderboard error?,0,None,12 ,Sun Apr 29 2012 23:10:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1825,/competitions/bioresponse,45th
/sheac38395,Access to MAE Scoring Code,"I was never able to get my submission formatted properly, but I'd still like to keep working on a solution. In order to compare my results to those of others in the contest, I'd need the MAE scoring code that's used. Can this be made available to teams? Thanks, Shea",0,None,2 ,Mon Apr 30 2012 04:13:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1826,/competitions/dsg-hackathon,106th
/alecstephenson,Thanks Melbourne,"A big thanks to Melbourne organizers Yuval Marom and Rory Winston, and sponsors Melbourne Institute, Lift Analytics and Huntel Global for keeping us well fed and watered and putting on a great event in Melbourne that went down to the last few minutes. Thanks to all participants and congrats to feeling_unlucky. We've discovered a whole new bunch of Melbourne kagglers. Remember, turn right. :)",1,bronze,9 ,Mon Apr 30 2012 09:20:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1827,/competitions/dsg-hackathon,10th
/intaka,Recommendations vs Predictions,"In the FAQ, it says: You're not really measuring music recommendation! True. We're measuring the ability to predict the songs a user listens to, given a subset of observations. More details in our [Link]:http://www.columbia.edu/%7Etb2332/Papers/admire12.pdf, but in short this setting is the best offline proxy for music recommendation available. Have read the AdMire paper but still not clear on the distinction being made between recommendations and predictions. Please clarify. Thanks.",0,None,4 ,Mon Apr 30 2012 14:17:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1829,/competitions/msdchallenge,17th
/dchudz,what the target variables really were,For anyone who's curious: PARAMETER_CODE PARAMETER_DESC measured_quantity 1 42101 Carbon monoxide target_8 2 42401 Sulfur dioxide target_4 3 42406 SO2 max 5-min avg target_3 4 42601 Nitric oxide (NO) target_10 5 42602 Nitrogen dioxide (NO2) target_14 6 42603 Oxides of nitrogen (NOx) target_9 7 44201 Ozone target_11 11 81102 PM10 Total 0-10um STP target_5 12 88305 OC CSN Unadjusted PM2.5 LC TOT target_15 13 88306 Total Nitrate PM2.5 LC target_2 14 88307 EC CSN PM2.5 LC TOT target_1 15 88312 Total Carbon PM2.5 LC TOT target_7 16 88403 Sulfate PM2.5 LC target_8 17 88501 PM2.5 Raw Data target_4 18 88502 Acceptable PM2.5 AQI & Speciation Mass target_3,0,None,4 ,Mon Apr 30 2012 19:22:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1830,/competitions/dsg-hackathon,22nd
/mmaut41696,Python code for log loss,"For my fellow newbs, a sample utils.py: from math import log def log_loss(predicted, target): if len(predicted) != len(target): print 'lengths not equal!' return target = [float(x) for x in target] # make sure all float values predicted = [min([max([x,1e-15]),1-1e-15]) for x in predicted] # within (0,1) interval return -(1.0/len(target))*sum([target[i]*log(predicted[i]) + \ (1.0-target[i])*log(1.0-predicted[i]) \ for i in xrange(len(target))]) if __name__=='__main__': # if you run at the command line as 'python utils.py' actual = [0, 1, 1, 1, 1, 0, 0, 1, 0, 1] pred = [0.24160452, 0.41107934, 0.37063768, 0.48732519, 0.88929869, 0.60626423, 0.09678324, 0.38135864, 0.20463064, 0.21945892] print log_loss(pred,actual)",6,bronze,5 ,Mon Apr 30 2012 23:24:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1831,/competitions/bioresponse,338th
/viveksha,Congratulations!,"Congratulations to the winners! And, thanks to the sponsors and Kaggle for a terrific contest. There was clear differentiation from the rest of the pack as well as between the winners. I'd love to know what insights, methods worked for people, and what didn't.",1,None,21 ,Tue May 01 2012 03:04:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1833,/competitions/benchmark-bond-trade-price-challenge,16th
/waynezhang,Profile picture display,"I set up gavatar, and I can see the pic through it. But on Kaggle, the picture can display on some win 7 computer, but cannot on some other win7 and mac. Anyone who knows why? Thanks!",0,None,9 ,Tue May 01 2012 03:25:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1834,None,None
/mikel1,Placing transformed dataset on a public server?,I have transformed the Million Song Dataset for easy analysis by a statistical software package. Am I allowed to upload the transformed dataset to a public server for access by anyone?,0,None,2 ,Tue May 01 2012 09:00:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1835,/competitions/msdchallenge,14th
/byang1,question about some data IDs,"I didn't go thru the 9GB file to check for this, but the information page tells us we have the following fields in the data: 4. AdID ... 9. KeywordID: a property of ads. This is the key of 'purchasedkeyword_tokensid.txt'. 10. TitleID: a property of ads. This is the key of 'titleid_tokensid.txt'. 11. DescriptionID: a property of ads. This is the key of 'descriptionid_tokensid.txt'. This seems to say some ads may have different keywords, titles, and descriptions. Is this true ?",0,None,1 Comment,Tue May 01 2012 09:09:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1836,/competitions/kddcup2012-track2,None
/teaserebotier,Did anybody use the structure of weights (or time_last1),"Do a histogram of the weights and you'll see what I mean. the weights have a strong multimodal distribution, separated in sets corresponding to a period of about 26 hours (not 24...). Within each set of weights the median deviation between curve based price and actual price goes up linearly with time... I added that in my model mix and gained a tiny bit, but i was wondering what;s the phenomenon under that. My comp is busy right now but Ill make and post graphs later. If you have octave/matlab you can use the attached code to regen the graphs, the variables are self-explanatory... % train_data is the training set, Ntrain X 61 % each graph plots a ""blob"" that is the all the data in the graph comes from trades within one of the modes of the multimodal distribution of delays between THE trade (indexes 1-11) and trade-1 (indexes 12-16 in data line). % each graph cuts that mode in 10 finer slices of time and plots the mean or median absolute error % the first 5 blobs, which comprise the vast majority of weight, show a strong relationship between time in the blob and abs(price-curve_based) % the last two graphs put together all blobs to illustrate the fact that the relationship gets a reset every blob. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2423/studyblobs.m",0,None,2 ,Tue May 01 2012 10:04:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1837,/competitions/benchmark-bond-trade-price-challenge,37th
/ddminer,What tools do you use to analysis it? ,Those text files are huge.. What tools do you use to analysis it? Can I anlysis this files with SPSS 14.0 Clementne? I just participate in KDD Cup for my school assignment I haven't analysis those types of data files in class. So I wonder what tools do you guys use?,0,None,5 ,Tue May 01 2012 10:33:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1838,/competitions/kddcup2012-track1,None
/peterphillips,Final model scoring,I notice that not all entries have been scored on the private leaderboard (most still say 0.00000). Are they still being scored or does this mean something went wrong with our submission?,0,None,1 Comment,Tue May 01 2012 13:18:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1839,/competitions/asap-aes,107th
/benhamner,Congratulations and DC Conference,"Congratulations to everyone who took part in this contest, and especially the top 3! This was a very challenging problem, and all your results are impressive. Preliminarily, the three winning teams are: Jason, Momchil, and Stefan Phil, Chris, Will, Eu Jin, and Bo Vik and Justin We're working to validate these as soon as possible to confirm this. So far, Jason, Momchil, and Stefan's code is looking good, which presumably means everyone else is good as well. We'd like to invite anyone with a final QWK above 0.75 to partcipate in the TILSA conference on May 9 (see https://www.kaggle.com/c/asap-aes/forums/t/1789/award-ceremony-expectations and https://www.kaggle.com/c/asap-aes/forums/t/1701/award-ceremony for more information). Please email Lynn (Lynn at openedsolutions.com) and CC me (ben at kaggle) ASAP if you'd like to come. I'll be in Washington DC Tuesday May 8 (arriving at night) - Sunday. Hope to see many of you there!",0,None,4 ,Tue May 01 2012 18:24:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1840,/competitions/asap-aes,None
/jothy17269,"Memory issue: ""Cannot allocate vector of size...""",I am a new bie in this data mining field. I have started working on this competition to learn new things. My computer is 32 bit machine and has 3.24 GB RAM. I am facing memory issues while training the data set. Can anyone please help me on this...,0,None,4 ,Wed May 02 2012 11:40:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1841,/competitions/kddcup2012-track2,156th
/activegalaxy,Visible versus Hidden,When the test triplets were split into visible and hidden halves was there any reordering of the songs for each user? I'm curious if these user/song lists could contain time sensitive preferences and if that was altered upon splitting. Thanks.,0,None,1 Comment,Wed May 02 2012 18:07:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1843,/competitions/msdchallenge,119th
/danglaser,Thanks!,"I want to thank everyone who worked on this competition, from those who downloaded the data just to check it out to those that made multiple submissions per week and were active on the forums. We appreciate the interest in our competition and all the effort that was put into your solutions. The discussion on the forum was great to see and I'm enjoying reading about your methods in the ""Congratulations"" thread. We hope to run future challenges in the future, so please let us know your thoughts about this competition. What did we do well? What could we improve on? How was our competition interesting/fun/informative? Thanks, Dan",0,None,1 Comment,Thu May 03 2012 00:07:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1844,/competitions/benchmark-bond-trade-price-challenge,None
/dajre41911,UserId and ItemId,"I get that UserId = ItemId however in the cases when the ItemId is ""an organization, or a group"" does that mean that the organization and group can be a singular user? I guess what I'm asking is are there sometime multiple users assigned under a single Item or is it always 1:1?",0,None,1 Comment,Thu May 03 2012 07:05:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1846,/competitions/kddcup2012-track1,318th
/imsrch,Is mahout of use in this track?,Is mahout of use in this track? Has anybody tried?,0,None,2 ,Thu May 03 2012 07:11:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1847,/competitions/kddcup2012-track1,None
/mashhoori,The thing that everyone in track1 wonders!,Does anybody have any idea why there is such a huge discrepancy between the scores of the first two ranks and other scores?,0,None,1 Comment,Thu May 03 2012 10:42:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1848,/competitions/kddcup2012-track1,27th
/workingknowledge,"Any estimates of the errors in ""Activity"" or D[i]?","The description of the data set implies that ""Activity"" was estimated by some experimental process (e.g., in vivo or in vitro measurements). Are there any estimates of the rate of Type I & Type II errors in this Activity data? Similarly, are there any error models for any of the molecular descriptors? Although descriptors based on elemental constitution might be error-free (assuming testing used 100% pure samples), other descriptors such as size, shape, or other chemical properties might be subject to calculation or measurement errors.",0,None,5 ,Thu May 03 2012 16:29:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1849,/competitions/bioresponse,417th
/liwoliht,Allowed to use Leadboard-score to improve model,"Hi, I wonder if it is allowed to use the scores found on the leadboard to systematically extract the true classes for test-data entires? E.g. one might change the predicted value for one testdata entry at a time to see if the score improves or not. Thanks",0,None,14 ,Thu May 03 2012 16:44:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1850,/competitions/bioresponse,55th
/dajre41911,"Keywords, Categories and Tags","I am a little confused about Keywords, Categories and Tags. Keywords I understand that UserKeywords and ItemKeywords use the same vocabulary. For example if 9 = Computer then a 9 in UserKeyword and a 9 in ItemKeyword would both mean Computer. One question I have is how are the ""weights"" determined for user keywords? Is this weight determined from all of that user's tweets? As in the keywords they tend to post most often? The other question I have about keywords is about the item keywords. How are these keyword generated? Are they the same keywords of the user that posted them? Or are they generated from the words posted alongside the item? Tags Tags from my understanding are words that a user chose to describe themselves. Such as climbing or programming. My question about tags is are there any other fields that share the same vocabulary as tags? Categories My question about categories are similiar to tags. Are there any other fields that share the same vocabulary as categories? Extra My last question which I'll throw in here too for completeness that I asked in another thread is are organizations and groups identified by a single UserId?",0,None,1 Comment,Fri May 04 2012 06:05:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1853,/competitions/kddcup2012-track1,318th
/onlineproductsaleshost,Welcome from the competition host,"Hello all, Thanks so much for your interest in our data competition. We look forward to seeing the algorithms data scientists around the world come up with. Please direct any questions you have regarding the competition my way! Thanks, Jason",1,bronze,9 ,Sat May 05 2012 01:27:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1856,/competitions/online-sales,None
/ovgu12,days in hospital y1,"hello everyone, there is a newbie question .assume i have claims for y1 could i calculate exactly days in hospital for y1 and how can i do that?",0,None,2 ,Sat May 05 2012 03:46:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1857,/competitions/hhp,288th
/sashikanthdareddy,NaNs,What do NaNs in outcome variables mean? have the products been discontinued?,0,None,5 ,Sat May 05 2012 12:32:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1859,/competitions/online-sales,None
/mikel1,Mean average precision and the order of the 500 songs,"In a submission, does the order in which the 500 songs are listed for a user change the Mean Average Precision? It looks like the order of the songs in each user's list is immaterial, so that 400 songs correctly included in the list for a user produces a precision of 0.8 to average into the MAP Also, does the order in which the songs are listed for a user in kaggle_visible_evaluation_triplets.txt have meaning?",0,None,6 ,Sat May 05 2012 12:43:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1860,/competitions/msdchallenge,14th
/chrisbrew,Odd wording in description of evaluation.,"The mention of ""editors"" and ""edits"" in the description of the evaluation is a touch mysterious. Is this wording left over from some other competition, for something like prediction of how often Wikipedia pages get changed? It would all make sense if ""editors"" were replaced by ""months"" and ""edits"" by ""monthly sales figures"". Can someone clarify?",0,None,3 ,Sat May 05 2012 16:09:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1862,/competitions/online-sales,69th
/fredm42251,code,>Winning participants are required to provide code is there specific programing language code must be in? or whatever I use?,0,None,1 Comment,Sun May 06 2012 08:14:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1863,/competitions/online-sales,None
/idrach55,n in the Evaluation Function,"Hello, I found the Evaluation Function to be a bit vague. n is described as ""n is the total sales in the (public/private) data set"". Is that the number of sales in a given month for a product, or for the whole year? Also, is a score given for each month, or for the whole year. Would p be the prediction of the i month? Any information would be much appreciated.",0,None,2 ,Sun May 06 2012 08:31:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1864,/competitions/online-sales,164th
/ejlok1,Evaluation metric code,"here's the R evaluation metric code if anyone's interested: RMSLE <- function(P,A) { sqrt(sum((log(P+1)-log(A+1))^2)/length(A)) }",2,None,2 ,Sun May 06 2012 14:30:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1865,/competitions/online-sales,5th
/datajunkie1,AUC or MAE,What criteria is used for evaluation AUC or MAE? in one of the post its mentioned that both will be used but in Information section i see only AUC is mentiond (as described in Algorithm 3 in Tom Fawcett's paper). Please clarify. Thanks,0,None,1 Comment,Mon May 07 2012 20:21:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1869,/competitions/kddcup2012-track2,139th
/randomforestfanatic,Can clustering help with data mining?,"So, this question applies to this particular problem (predicting a biological response) but it's also something I've been curious about in general. My question is: has anyone seen improvement in models by first clustering the data into groups and then building separate models on each group? I have a bit of background in marketing/customer analysis, and it seems like the typical approach in that field is to first segment the customers and then build individual models for each population. To me, it seems like it would be more profitable to use all of the data to train one model (such as a random forest, boosting tree, etc.) and not worry about clustering. But, I could be wrong and that's why I'm asking for thoughts!",0,None,4 ,Mon May 07 2012 21:44:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1870,/competitions/bioresponse,71st
/jinglei,Will the rec_log_test.txt with the right value be released? ,If the rec_log_test.txt with the right value of the ‘Result’ field will be released when the competition ends?,0,None,4 ,Tue May 08 2012 11:09:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1872,/competitions/kddcup2012-track1,None
/blindape,Someone found an usefull variable?,Is a bit frustrating don't be able to find a simple association. GBM convergence crash! deviance grows with more trees... Really a hard data set. A lot of variables almost constant. Any clues of the promotors about the nature of the variables will be welcome.,0,None,2 ,Tue May 08 2012 12:54:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1873,/competitions/online-sales,168th
/chrissumner,Welcome,"We're excited to launch this, our first competition! The aim of this competition is to determine the best models to predict the personality traits of Machiavellianism, Narcissism, Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism based on Twitter usage and linguistic inquiry. As an organization one of our research goals is to understand just how well personality can be predicted by activity on social network sites such as Twitter. There are many sensational headlines stating that social network activity can predict personality, but there's scant research into predictive model performance. We want to answer questions such as ""Are employers who pre-screen based on social networking making a gross mistake?"". Your participation in this research will help drive future important research on personality prediction. Finally, we will imminently be releasing a second competition focusing on just one personality trait, Psychopathy. Please do look out for that competition. Thanks and good luck, Chris",0,None,9 ,Tue May 08 2012 20:16:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1875,/competitions/twitter-personality-prediction,None
/mkline55,Patient 41073844 LengthOfStay,"I realize the provided data is ridiculously poor, and that's probably why the competition has to run so long, since every team has to come up with their own methods for handling this problem. Why wasn't the data cleaned up? That seems to be a more difficult problem than the supposed solution being sought. In year 2 Member ID 41073844 appears to have LengthOfStay value between 4 and 8 weeks per month (never longer) and sometimes an additional 2-4 weeks. It's ridiculous. Yes, I can handle the data in a manner I determine to best represent what it should have been. I've read the posts related to the quality of the data. But the real question is how does Heritage handle the data for year 4? Do we assume Heritage has correct numbers, and not junk, and if so, why give us junk for the prior years and distract from their goal? In calculating results, would Heritage have used the total of 1009 days for this one member in year two, and said my estimate is a little short? Gee, I thought they would only be in the hospital for 365 days.",0,None,1 Comment,Tue May 08 2012 21:16:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1876,/competitions/hhp,453rd
/eigenvector,Submission Limits?,"Hi All, I'm new to this forum/competition and I'm a bit confused about the limit on the # of submissions. The rules state that: ""8. ENTRY SUBMISSIONS ... Entrants may submit one (1) Entry during each calendar day (UTC) of the Competition Period, beginning on May 4, 2011. Team Entries must be submitted by the Team leader."" So we're only allowed 1 entry per year? I've been looking at the leaderboard for the past few days, and it appears that some teams are able to submit much more frequently than that. What am I missing? Thanks ARP",0,None,2 ,Tue May 08 2012 21:27:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1877,/competitions/hhp,180th
/delley11,Leaderboard on June 1st,"Dear all, I have a question about the leaderboard on June 1st. In description, it says ""In the result file, the lines corresponding to the lines from validation dataset will be used to score for the ranking on the leaderboard during the competition except the last day (June 1, 2012), and the lines corresponding to the lines from testing dataset will be used for the ranking on the leaderboard on the day of June 1, 2012, and for picking the final winners."" Does it mean that we can see the AUC of the 58% testing data on June 1, while we can still submit new entries on the same day? Looking forward to your answer. Thanks. Best regards, Delley",0,None,2 ,Wed May 09 2012 09:10:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1879,/competitions/kddcup2012-track2,33rd
/mikel1,Submit from a website ?,"Folks: I am on a slow internet connection, so my submissions time out. My website is on a fast connection. If I upload my Submission file to my website, is there any way I can type the URL of the Submission file into the Submission box on the Submissions webpage?",0,None,2 ,Wed May 09 2012 12:17:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1880,/competitions/msdchallenge,14th
/sidav40256,Anybody can give some hints on how to model the new users?,Anybody can give some hints on how to model the new users that are in the test set but not the training set? Many thanks in advance!,0,None,6 ,Wed May 09 2012 13:18:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1881,/competitions/kddcup2012-track2,60th
/activegalaxy,MCAP Definition,What is your definition of MCAP on the leaderboard?,0,None,2 ,Wed May 09 2012 16:21:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1882,/competitions/twitter-personality-prediction,None
/zstats,Categorical variables,"Can you clarify the non-binary categorical variables? For instance, Cat_4 appears to have 529 unique integer values, ranging from 1 to 1544. Does the ordering or the exact numerical value have meaning, or are the integers simply being used as arbitrary labels?",0,None,2 ,Thu May 10 2012 05:02:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1884,/competitions/online-sales,29th
/chipmonkey,Abandoned teams?,"Four of the top 20 leaderboard entries (plus #21 in fact) were posted back in 2011, if I read the leaderboard correctly... most of them just before the Milestone 1 cutoff. I can think of plenty reasons that would legitimately happen, but I find it kind of surprising, to get that close so soon and then disappear? Where'd you guys go?! Or do I misunderstand the date stamp? Oh well. The forums were slow lately so I thought I'd point it out.",0,None,13 ,Thu May 10 2012 05:58:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1885,/competitions/hhp,63rd
/tafkas,More information about the variables,"Can you provide more information aobut the variables? For example why they are grouped: AVar1 - AVar13, LVar1 - LVar 239, FVar1 - FVar 85",0,None,7 ,Thu May 10 2012 16:20:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1886,/competitions/twitter-personality-prediction,None
/skyline,Question(s) about Data,"Hello! Maybe you can think that I am crazy, but I thought that we have the next files: train.csv - data in which we should train our models test.csv - file which we shoud use to predict the real output AND optimized_value_benchmark, rf_benchmark, svm_benchmark, uniform_benchmark to use like output for test set! But now after reading some topics on this forum, I understand that we haven't got any out for test data! Is it right? We have only samples how we shoud make our submissions, is it right? But I stil don't understand what means optimized_value_benchmark where it's seems that all cases are the mean of svm_benchmark. So, the main question is ""How we can you these benchmark files?"" I really thought that I shoud use (for example I used svm_benchmark) this files to understand the quality of my model before I will make a submission. Thank you for the answers and sorry for my english!",0,None,1 Comment,Thu May 10 2012 19:38:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1887,/competitions/bioresponse,354th
/randomforestfanatic,Question about the process of ensemble learning,"This question may require a rather long explanation, so if someone could direct me to a reference that would be much appreciated as well! Anyways, I'm wondering about the accepted practices in ensemble learning. I just attempted to do what I thought would be a good approach for this problem: Build many different models (logistic regression, elastic net, random forest, boosted trees, SVM; also using different values for tuning parameters on these models) and determine their predictive accuracy using cross-validation (5-fold). I computed a logloss for each model (using the hold-out data sets), then built a final model on the entire training data. I built new models (with the same tuning parameters) on the entire training set and then predicted on the test data set. My final prediction was a weighted average of these models (where the weights were proportional to 1/logloss of each model on the validation sets). I also tried combining these predictions using a random forest (trained on the entire training data set) and using that to then predict on the test data set. (Sorry if this doesn't make sense, I'd be glad to provide more details if I'm not explaining this well.) However, what surprised me is that my model didn't perform too well on the leaderboard; it didn't even beat the random forest benchmark. Am I doing something wrong in this process? Does anyone have a good reference on blending (that would be easy for a newbie like me to understand)? Thanks for the help!",7,bronze,15 ,Fri May 11 2012 16:36:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1889,/competitions/bioresponse,71st
/intaka,Submission predictions start in column 1 or 2?,"The instructions on the Submission process page says: ''' Your entry must: be in CSV format (can be in a zip/gzip/rar/7z archive) have your prediction in column 2 have exactly 110,000 rows ''' Do the predictions start in column 1 or column 2?",0,None,5 ,Fri May 11 2012 19:25:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1890,/competitions/msdchallenge,17th
/meanregression,Monthly sales values,"How were sales amounts rounded in the first 12 columns? For example, if the sales in Month 11 after release were: 300 for Product A, 2100 for Product B, and 2700 for Product C, how would Outcome_M11 read for these three rows?",0,None,1 Comment,Sat May 12 2012 07:58:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1894,/competitions/online-sales,170th
/salimali,Date_2 seems odd,There are some products where there are nearly 8 years between the product being announced (date_2) and it being launched (date_1). Is this correct?,1,bronze,3 ,Sat May 12 2012 08:54:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1895,/competitions/online-sales,9th
/meanregression,Duplicate columns?,"Quan_13 and Quan_14 are exactly the same. Is this expected behavior? Also, Quan_28 has 3 distinct values: 0, 1 and 2. Please confirm that this is a quantitative variable.",1,bronze,6 ,Sat May 12 2012 10:00:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1896,/competitions/online-sales,170th
/harriken,Black Magic,Hey Xavier Conort aka Gxav could you share with us how you always manage to get the top spot with only one (1) submission???,0,None,3 ,Sat May 12 2012 11:27:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1897,/competitions/online-sales,25th
/boxu142789,Binary Variables,"Hi there, In the description, binary variables are defined as a variable with values 0 and 1 representing having the feature and not having the feature respectively. However, in many of the columns, some variables are observed to have two distinct values such as 0 and x, where x is another integer value. Could these variables be intepreted as binary variables as well? Thanks",0,None,5 ,Sun May 13 2012 06:23:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1898,/competitions/online-sales,None
/ccccat,Disappeared location,"Is there specific reason you removed location from profiles? I do not think it is good idea. I ,personally, prefer to form teams with members who are geographically close to me. Also it may be important information for potential employers.",0,None,8 ,Sun May 13 2012 17:01:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1899,None,None
/skyline,Question(s) about final log loss output,"Hello! I have a question about log loss error (output) and data. When I wan't to know error of my model I get svm_benchmark file and output vector of 2501 numbers of my model. Then I can obtain the log loss error with this two vectors with evolution formula. After that I make a submission and I have the same error ( +- 0.01 - 0.03). I know that error on the leaderboard use only ~600 points from 2501. Is all of this correct? And the second important question. As I understand we can't get error less than ~0.519 with svm_benchmark because if we get two svm_benchmark files and use one of this like real probabilities and another one like model output we will get the error ~0.519. So how we can get the error less that even when we have MAE = 0 !! we have such bad error. I understand that we don't use MAE here, but I have also try to understand what number we must have at each row to minimize log loss function and I have obtaind the same numbers !! It's means that MAE must be minimized first but the error can't be less ~0.519. How can it be?..",0,None,7 ,Sun May 13 2012 18:08:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1900,/competitions/bioresponse,354th
/meanregression,Quant_28,"Please confirm that Quant_28 is quantitative. There are only three distinct values (0, 1 and 2). Edit: I assumed that 'Quant' is the same as 'Quan', that is, both are meant to represent quantitative variables. Is this assumption correct?",0,None,1 Comment,Sun May 13 2012 23:07:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1901,/competitions/online-sales,170th
/chrissumner,Welcome,"We're excited to launch this competition, which is closely related to our first competition "" [Link]:http://www.kaggle.com/c/twitter-personality-prediction"" (which is still running). The aim of this competition is to determine the best model(s) to predict the personality trait of Psychopathy based on Twitter usage and linguistic inquiry. As an organization one of our research goals is to understand just how well personality can be predicted by activity on social network sites such as Twitter. Following on from a paper titled "" [Link]:http://www.cbc.ca/fifth/37/episodes/murderhewrote/images/Hancock%20Woodworth%20&%20Porter%20(2011)Hungry%20Like%20The%20Wolf%20-%20The%20Language%20of%20the%20.pdf"" (Hancock et al, 2011), we saw a headline titled "" [Link]:http://www.dnaindia.com/world/report_can-twitter-help-expose-psychopath-killers-traits_1598342"" and sought to examine the question. We have conducted a statistical analysis and identified numerous significant relationships, but we now want to understand the performance of predictive models. You will likely find the comments in our other competitions' [Link]:http://www.kaggle.com/c/twitter-personality-prediction/forums helpful. This is our first set of competitions and we expect to learn as much about framing data for data science competitions as we already have about Psychopathy. We appreciate that the obfuscated variables may be frustrating, and we're currently investigating that further. We will take comments on board and look to either improve the competition or release follow-on competitions. The results of this competition will be shared at [Link]:http://www.defcon.org/html/defcon-20/dc-20-index.html in Las Vegas this summer and used in a paper. The challenge with this competition is that it's an imbalanced data set, with a majority of people scoring low on the scale of Psychopathy (we expected this). Your participation in this research will help us highlight Online Privacy issues and help drive future important research on personality. Thank you, Chris",0,None,1 Comment,Mon May 14 2012 18:31:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1902,/competitions/twitter-psychopathy-prediction,None
/activegalaxy,Meta-Contest: Leaderboard Upper Bound,"Some of the Kaggle contests generate leader scores which, when plotted against time, show good correspondence with a curve of the form A - exp(a + b x t) where t is time and A, a, and b are free. Example contests are the AWIC and ASAP (piecewise exponential). This contest appears to have the same quality as is shown in the attached graph. Here the leading scores, not including the benchmark, and the model are shown. The vertical line is the current date relative to the start. This seems to indicate that the utility of the contest for the sponsor has been consumed and all that is left is to make minor improvements and become the winner. This model gives an upper bound of A = 0.864. Would anyone else like to propose an upper bound for this contest? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2500/TwitPersonality.JPG",1,None,3 ,Mon May 14 2012 21:54:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1903,/competitions/twitter-personality-prediction,None
/utdiscant,Problem downloading the DescriptiveStats.pdf,"I have problems downloading the pdf of DescriptiveStats from the front page of the competition. When I click the link, nothing happens.",0,None,1 Comment,Mon May 14 2012 22:59:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1904,/competitions/twitter-psychopathy-prediction,None
/benoitplante,Quantitative vs Categorical.,"Just to be sure I understand correctly. Quan3=100 is twice of Quan3=50. Like for example $100 and $50, or 100 hours and 50 hours. Cat2=100 is different of Cat2=50, but no information about size. It could be 100=red and 50=blue. But if the product is blue it can't be red. Am I right?",0,None,5 ,Tue May 15 2012 03:40:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1905,/competitions/online-sales,8th
/fdyangdq,what will MAP be when a user refused all recommendation indeed?,"What can tell me? When a user A refused all recommendation (all items are -1) in fact and my model also predict such result, what is MAP for user A? Will it be 1? Or should I neglect such user when computing total MAP? Moreover, still for such user A, is his MAP 0 if my model predict A accept one or more recommendation? Thank you!",0,None,1 Comment,Tue May 15 2012 03:48:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1906,/competitions/kddcup2012-track1,148th
/alexxanderlarko,Evaluation,"My sample code R ###################################################### err1 <- function(obs, pred){ tst<-data.frame(obs,pred) tst<-tst[order(tst$pred, decreasing = TRUE),] mean(cumsum(tst$obs)/cumsum(obs[order(obs, decreasing = TRUE)])) } #########################################################",13,gold,5 ,Tue May 15 2012 05:57:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1908,/competitions/twitter-psychopathy-prediction,59th
/leustagos,Same members on many teams,"Kaggle guys, Can you check if there are distinct teams belonging to the same users? Itś very odd that some teams always improve their score on blocks, always near each other... Thanks a lot!",0,None,3 ,Tue May 15 2012 17:08:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1909,/competitions/kddcup2012-track2,5th
/silvia3,acceso a la base de datos,"no puedo descargar los archivos necesarios para este trabajo, Ni kaggle_user ni el kaggle_songs ni kaggle_visible_evaluation_triplets. Me lleva directamente a cambiarme o editar mi perfil.",0,None,1 Comment,Tue May 15 2012 18:58:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1911,/competitions/msdchallenge,None
/alphaxomega,Matlab data,"Hi, According to [Link]:http://labrosa.ee.columbia.edu/millionsong/pages/getting-dataset, do I need to massage the existing SQL data into Matlab or is that already done? I simply want to avoid running scripts hours in and then finding out there already exist Matlab arrays to index into. The song-level similarity gives some score; the lyrics bag-of-words provided by [Link]:http://labrosa.ee.columbia.edu/millionsong/musixmatch doesn't do that. Is there existing ""scores"" for that somewhere?",0,None,1 Comment,Tue May 15 2012 21:00:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1912,/competitions/msdchallenge,None
/masilvav,Timeout,"Hi. Recently I've tried to make a submission, but I had a timeout error....I'm in a bad internet connection, I know. Although I couldn't upload the file, my try was counted as a second entry a day and then I cannot upload any file within 8 hours :( Any suggestion? ps: I think if you can't upload, then Kaggle must not count it as a try",0,None,2 ,Wed May 16 2012 18:12:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1915,/competitions/twitter-psychopathy-prediction,42nd
/sedielem,Order of users in the taste profile subset,"The (user, song, count) triplets in the taste profile subset text file are ordered by user, but I was wondering if there is any other regularity in their ordering. I rather arbitrarily split this dataset into a training and evaluation set to get a rough idea of how solutions will perform before submitting them. Evaluating the getting started submission (songs by popularity) on this split gives a considerably lower mAP value (~0.001) than the one displayed on the leaderboard (~0.023). I also implemented the 'same artist - greatest hits' baseline from the paper. The results for this are much more comparable: ~0.061 on my split, and ~0.065 on the leaderboard. The latter seems to indicate that my mAP calculation code is okay (no serious flaws at least), so the result for the 'songs by popularity' baseline is somewhat surprising. This lead me to think that perhaps the order of users in the taste profile subset is not random. Is this the case? It's as if the users that I split off have particularly 'alternative' tastes (i.e. they don't listen to popular songs).",0,None,4 ,Wed May 16 2012 19:21:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1916,/competitions/msdchallenge,21st
/mattfrancis,Big gap at the top,"The top 4 teams have a clear lead over the rest of the pack. There must be some similar trick they have all discovered that leaps them over the barrier at ~0.413 that the teams below them are trapped at. I wonder what that is? There's still a long way to go but if this was reflected in the final sprint I'd feel sorry for the 1 team out of 4 that misses out on the mula, given how stark the difference in scores are between the breakaway group and the peloton.",1,None,20 ,Thu May 17 2012 23:50:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1917,/competitions/bioresponse,35th
/milestone,why not use zero-one loss (or hinge loss)?,"zero-one loss should be the most natural loss function for the general classification problem, while the log loss function is associated to the generalized linear (logistic) model. Is there any particular reason that log loss is used here?",0,None,4 ,Fri May 18 2012 00:49:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1918,/competitions/bioresponse,None
/dslate,Timed-out submissions,"Recently I made a couple of submissions that, after some period of time, received a message from the server that the submission timed out and I should resubmit it. In the first case I did, but ended up with duplicate submissions and an extra charge to my daily quota. The second time I noticed that the submission showed up with the message ""Pending"", and after some more time it received a score, so no resubmission was necessary. If would make more sense for the server to delete the submission after issuing the time-out message to avoid duplicate submissions. The time-out message suggests that the submission really was lost, and not just waiting for a score.",0,None,4 ,Fri May 18 2012 09:49:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1921,/competitions/kddcup2012-track2,27th
/brucewu,How to generate the validation set?,"I'm so confused. I split the train set according to time information (GMT+8), and reluctantly used RMSE ( the result of validation set is -1 or 1) to evaluate the model. How to extract the validation set from rec_log_train.txt ?",0,None,5 ,Fri May 18 2012 14:39:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1923,/competitions/kddcup2012-track1,114th
/iguyon,10 Free Kinects to new challenge entrants,"Dear gesture enthusiasts,If you did NOT enter round 1 of the gesture challenge, enter round 2 and win one of 10 free Kinects offered by Microsoft.Be the first 10 NEW people who make an entry that outperforms on validation data the benchmark entry (for which we provide the Matlab code): Principal Motion 0.39912(see http://www.kaggle.com/c/GestureChallenge2/Leaderboard) Claim your free Kinect by sending a screenshot of the leaderboard indentifying your winning entry to:events@chalearn.orgGood luck!Isabelle",1,bronze,3 ,Fri May 18 2012 18:11:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1924,/competitions/GestureChallenge2,None
/qhfgva," ""average precision"" algorithm [noob alert]","So is it assumed that I should create my own ""average precision"" calculator so that I can track my progress before submitting? I'd rather avoid submitting every little tweak. Obviously if there are libraries (R,octave,python) I'd just as soon use one of those. dustin",1,None,2 ,Fri May 18 2012 22:40:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1926,/competitions/twitter-personality-prediction,None
/bobdeaton,Submission format,"Does a submission consist of just the myID column, sorted by the computed psychopathy score in descending order?",0,None,4 ,Sun May 20 2012 22:03:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1929,/competitions/twitter-psychopathy-prediction,77th
/bogdan90,Submission error,"Hello, When I try to submit the solution, I get the following error: ""Submission must contain a minimum of 12 columns (Line 1)"" And I always get that error, even if I have 519 rows x 13 columns and I have tried to submit .csv, .zip archive containing .csv and even .zip containing a text file and I still can't get it to work. Can someone please help? Thanks, Bogdan90",0,None,1 Comment,Sun May 20 2012 22:37:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1930,/competitions/online-sales,359th
/mattfrancis,More Humane display of scores,"Maybe it's just me, but I find it difficult to conceptualise leaderboard scores easily, since they are such small numbers. When someone posts in the forums about obtaining a '0.01' improvement by some method, my brain keeps telling me that is tiny and insignificant, when of course in general it is not. I've almost managed to train my brain to pre-process anything related to a leaderboard score by multiplying by 1000, then things become more comprehensible somehow. Does anyone else think the leaderboards would be easier to digest if the displayed values were already multiplied in this way?",0,None,1 Comment,Mon May 21 2012 02:14:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1931,None,None
/mikel1,Lessons so far ....,Here's what I have discovered .... When predicting which songs a user downloaded .... 1. Users with many downloads are less helpful 2. Songs with many downloads are less helpful 3. Clustering is less helpful 4. Nearest neighbors can be helpful provided that the neighbors are really near (at least two downloaded songs in common),2,bronze,2 ,Mon May 21 2012 04:50:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1932,/competitions/msdchallenge,14th
/glider,Multiple Accounts Frozen,"If you received an email last week regarding a KDD account that has been flagged as a multiple account and did not respond to us within the grace period, your account has now been frozen. If you believe we have made an error in freezing your account, please contact [Link]:mailto:compliance@kaggle.com.",1,bronze,2 ,Mon May 21 2012 18:48:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1935,/competitions/kddcup2012-track1,None
/kubokonecny,Bug in databatch.m,"Hi, I am learning to work with the sample code you have provided, and I believe I found a bug. It is in the databatch.m file, in function goto(this, num) (line 131) Problem is in the condition - if num~=this.current_index && num>0 && num If causes problems when databatch.invidx isn't the same as databatch.subidx. For example, when you send for testing only the test set, like you do in main.m. In this case, it doesn't evaluate the first video of the test set, but evaluates first video in train set instead, because current_index isn't changed from it's initial value in first loop. I think the right contition is if this.current_index~=this.subidx(num) && num>0 && num Your score using Principal Motion algorithm is 0.39912. I scored 0.37866 only thanks to change in this condition.",0,None,2 ,Mon May 21 2012 20:43:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1937,/competitions/GestureChallenge2,22nd
/ruandaffue,Heritage Algorithm vs Existing Algorithms: How do they differ?,"Hi there, I've been doing some extensive research on the potential value of conceptually applying the heritage algorithm in a healthcare provider setting (hospitals, etc). From a data analytics perspective, the scope for developing this algorithm undoubtedly exists. However, various similar algorithms (with the purpose of identifying patients at risk of admission or preventing 'unnecessary hospitalizations') have been developed and implemented across the globe for a number of years now. Due to the fact that some of these algorithms are disease based, they tend to have much higher accuracies as opposed to the heritage 'accuracy threshold' of 0.4. How does the heritage algorithm then differ, if at all, from these algorithms? Regards",0,None,4 ,Mon May 21 2012 23:16:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1938,/competitions/hhp,None
/salimali,how random is the leaderboard sample?,Does the leaderboard select a random sample of rows and then use all 12 month for those rows in calculating the leaderboad score? Or does it just sample points completely randomly?,0,None,4 ,Wed May 23 2012 10:55:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1943,/competitions/online-sales,9th
/sidav40256,How to select my best 5 results as the final ones?,"Hi, According to the following info, I dont know how to choose my best 5 results as the final ones? Is there some functionality of Kaggle that we can use to do this? Thank you very much！ ---------------------------------- Note: You can select up to 5 submissions that will be used to calculate your final leaderboard score. If you do not select them, up to 5 entries will be chosen for you based on your most recent submissions.",0,None,3 ,Wed May 23 2012 12:08:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1944,/competitions/kddcup2012-track2,60th
/yellowbelly,Evaluation of RMSLE,"The submission is given in the form of a table consisting of 519 observations of 13 (one id and 12 month) variables. Is it correct to assume that n in the evaluation formula is 6228 (519 * 12) in the final evaluation, i.e. every single cell is counted? Or is the evaluation done column or row wise, i.e. n is equal to 12 or 519? Regards",0,None,3 ,Wed May 23 2012 14:59:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1945,/competitions/online-sales,None
/shaka43699,all rows in sample_submission_using_training_column_mean file are identical,Two questions: 1) why are all rows in sample_submission_using_training_column_mean file identical? 2) why does the filename contains mean. does it indicate something?,0,None,4 ,Wed May 23 2012 16:21:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1946,/competitions/online-sales,None
/smartersoft,What year did this data start?,What year did this data start? Not sure if i've seen any reference to the real time period this data was collected over. For example is Y1 = 2005 for all members? Or is it multiple vintages of data? (ie Y1 can be 2005 or 2006 or 1999 etc) thanks EDIT:>> Same question applies to DSFS. I think I already know the answer but would like confirmation.,0,None,4 ,Wed May 23 2012 20:01:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1947,/competitions/hhp,796th
/benoitplante,Accepted tools,"In the Rules section, it says: the participants will be asked to certify that they use a Kinect sensor and the Microsoft Software Development Kit (SDK). and They will need to use a Microsoft Kinect sensor (to the exclusion of any other sensor) and the Microsoft officially released Software Development Kit (to the exclusion of any other driver software). so we are obligated to develop our program using the Microsoft SDK? Why is there sample code done with Matlab?",0,None,2 ,Wed May 23 2012 21:44:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1948,/competitions/GestureChallenge2,29th
/smartersoft,What am I missing? Why so many submissions?,"As far as I can tell, people/teams that continuously submit are just randomizing their input variables slightly and randomly changing weights. For the life of me I can't figure out how this would help HPN achieve its goal. As soon as the actual target changes, all top ranking submissions would be useless. Is this just a game of submit as many random variations as you can and hope you are the closets? Am I missing something? Why would anyone submit more than a few entries?",0,None,14 ,Thu May 24 2012 16:52:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1949,/competitions/hhp,796th
/dfg125630,Date's format,When do Date_1 and Date_2 day numbers start from? 01/01/1970? Thanks,0,None,1 Comment,Thu May 24 2012 22:50:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1950,/competitions/online-sales,None
/mlandkdd,What are the rules for finalizing team composition?,"Dear organizers, The official competition rules state that ""One week before the end of the challenge, the team leaders will have to declare the composition of their teams."" We assume that this means the team composition cannot be changed after 5/25/2012. Is that right? If not, what are allowed --- creating account, adding members, removing members, merging with other teams, ...? By the way, what is the exact rule for team merging? There seems to be a fine line between team merging and using multiple accounts. Thank you.",0,None,3 ,Thu May 24 2012 23:46:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1951,/competitions/kddcup2012-track2,None
/allenict,what 's the submissions format?,"hi ,I dont't know the format,is it double between 0 and 1?or just 0,1? Thanks?",0,None,2 ,Fri May 25 2012 08:53:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1953,/competitions/kddcup2012-track2,142nd
/ericmichael,Evaluation algorithm generated an invalid score.,"I have already submitted successful submissions. When I use Gradient Boosting on this data set, however, and submit the results i get this error: Evaluation algorithm generated an invalid score. Can anyone give me some insight as to why this might be occuring?",0,None,1 Comment,Fri May 25 2012 22:08:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1955,/competitions/online-sales,142nd
/benoitplante,RMSLE ,What is the point of the logarithms in the error function? You want to make big errors less important?,0,None,2 ,Sat May 26 2012 03:00:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1956,/competitions/online-sales,8th
/allankamau,Duplicate user_id+item_id records having different results in rec_log_train,This could be very late to ask. But why are there different recommendation follow-up results for the same user_id and item_id. Yes these records may have different timestamps but the timestamp in our case is not useful as I understand the true ranking is based on recommendation records (in the rec_log_test) having a timestamp larger than those found in the rec_log_train dataset.,0,None,1 Comment,Sat May 26 2012 09:41:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1957,/competitions/kddcup2012-track1,644th
/salimali,cross validation errors,Is anybody getting cross validation errors way different from the leaderboard scores? I got a cv error of 0.50899 but only achieved 0.61975 on the leaderboard. Have I done something wrong or are others finding the same?,0,None,14 ,Sat May 26 2012 11:31:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1958,/competitions/online-sales,9th
/muyu1984,About the entities in item.txt,"Hello everyone and adminstrators, I have a question about the entities in the item.txt. Are the items chosen by human beings? And are the categories of items assigned by persons? Or are these works done by machine? Thanks!",0,None,2 ,Sun May 27 2012 12:36:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1960,/competitions/kddcup2012-track1,None
/gkoundry,Validation scores vs. the Leaderboard,"I'm finding that the scores I'm getting by cross validation are not really correlating to what I'm getting from the leaderboard. I've been in enough competitions on Kaggle to know that there is always some variance between validation sets and the test set, but in general lower validation scores translate into an improvement on test set scores. With this competition, it seems that my validation scores have no realtion at all to test set scores. Which means I have to choose between ignoring the leaderboard and trusting in cross validation or trying to blindly develop algorithms. I'm assuming that this is mainly due to the small size of the test set (the leaderboard only represents 30% of 1172 records). Another factor seems to be the non-continuous nature of the scoring metric (average precision) where small changes in prediction algorithms result in large changes in score. If I'm not mistaken, when this contest ends there is going to be a considerable reshuffling of leaderboard rankings. Are other people having the same problem? Is anyone else approaching this competition differently from past ones?",0,None,4 ,Sun May 27 2012 16:27:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1961,/competitions/twitter-psychopathy-prediction,52nd
/chaosdecoded,"I have some questions regarding Licensing here, please.","Hello I am new to Kaggle, I would like to try myself in this challenge, but I would like to know some more about the rules. "" By accepting an Award, each Winner agrees to grant a worldwide, perpetual, irrevocable and royalty free license to the Competition Host to use the winning Entry and any Model used or consulted by the Winner in generating the winning Entry in any way the Competition Host thinks fit. This license will be non-exclusive."" So let's say I will use SVM combined with some tweaks (all using R project and it's packages) and some additional my code (some tweaks to data pre processing etc) , and let's say I will win the contest... I now have to give the code to the Host and explain what and how I did it to win ? Is this right ? So, let's say I'd like to take part in another challenge here at Kaggle, and let's say I will be able to use almost same code, same tweaks, SVM and r Project packages to win the other one ? Can I share the code and method with the seconda Challenge Host ? Can I use the code and methods I developed in first challenge in the second challenge ? What if 10 years from now I have my company, that somehow will be looking at the biological responses to different substances, And let's say this company would use again same code with some modifications ? Would this legal ? Thank you for your advices, Does anybody has any experience in situations like these ?",0,None,6 ,Sun May 27 2012 18:35:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1962,/competitions/bioresponse,228th
/esla43459,Please visit our data-mining blog!,"Hi Everybody, This summer, I am teaching a data-mining class. In the class, we cover basic techniques in data mining. Students, as part of class homework, should submit their prediction for HHP. We try to publish our underestanding of the problem in our blog. Please visit us at: http://machinelearningsummer.blogspot.com/ http://machinelearningsummer.blogspot.com/2012/05/course-description.html Kind Regards, Esla",0,None,7 ,Sun May 27 2012 20:15:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1963,/competitions/hhp,1344th
/weilinear,3rd party library/packages/code,"Can we use the code publicly available on the web for extracting features? Many features need to be extraced in the way described in some of the published papers, or use some of the library like opencv. Can we use those to build the prototype for participting in this competation? As far as I know some of the feautres are patented though codes are available. Not sure how Kaggle will restrict the use of third party codes. Best Regards,",0,None,1 Comment,Mon May 28 2012 04:32:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1964,/competitions/GestureChallenge2,10th
/bradybenware,Handling of categorical attribute data,"This is likely a dumb question, but I guess I won't learn without asking a few of them... I am experimenting with the sklearn RandomForestClassifier and some basic feature engineering. My first attempt at feature engineering was to find all the columns in the training data set that appear to take on a small set of discrete values and create a new attribute (0,1) for each of the unique values. My thought was that this looked like categorical data and really should not be treated as a continuos variable. So for example there is a column with values (0, 0.125, 0.25, ..., 0.875, 1). Perhaps, 0.125 is really not any closer to 0.25 than it is to 0.875. So, in my modified data set I will keep the original column and then create 9 new columns. The second new column for example would have a value of '1' when the original column value is equal to 0.125, and '0' otherwise. I repeated this procedure for all columns which had 10 or fewer unique values. This increased the number of features to over 5000. With this approach I am seeing about a 0.004 difference on the leaderboard. However, I suppose it is possible that this increase comes just from different input conditions and not at all related to having these new features. I have a few of questions: 1. Does the sklearn RandomForestClassifier already handle categorical data such that my efforts here are silly? 2. Anyone else experimenting with this and seeing significantly different results? 3. Are there other ways to deal with categorical data? I was thinking that a gray code binary representation might ne interesting. Thanks!",1,None,5 ,Mon May 28 2012 17:57:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1966,/competitions/bioresponse,50th
/byang1,The Variable Selection Game,"Hi, Anyone interested in sharing some variable selection results ? Here's the 100 most important raw variables I came up with using 2 different methods. Unfortunately they don't have much in common. Since these are raw variables, I think the RF version should be better. Logistic regression: D302, D823, D78, D603, D571, D469, D721, D41, D783, D490, D632, D144, D3, D720, D872, D649, D158, D665, D187, D87, D182, D88, D951, D631, D739, D596, D647, D172, D747, D688, D129, D607, D889, D666, D506, D504, D60, D681, D217, D715, D141, D480, D912, D269, D175, D789, D237, D154, D855, D10, D74, D64, D14, D660, D286, D856, D595, D96, D803, D310, D367, D85, D913, D231, D403, D81, D844, D489, D276, D440, D900, D49, D69, D806, D21, D663, D659, D311, D690, D928, D100, D901, D164, D334, D839, D479, D73, D155, D146, D762, D580, D19, D35, D436, D885, D664, D149, D414, D133, D887 Random Forest: D27, D14, D66, D10, D106, D469, D88, D5, D87, D7, D18, D2, D16, D107, D95, D9, D78, D21, D64, D8, D103, D91, D20, D84, D89, D104, D6, D86, D19, D105, D177, D17, D200, D15, D26, D951, D747, D911, D146, D74, D182, D196, D32, D100, D61, D99, D56, D102, D47, D204, D217, D660, D67, D25, D659, D187, D30, D90, D158, D31, D175, D69, D75, D173, D11, D46, D80, D131, D48, D209, D70, D208, D201, D181, D739, D45, D76, D198, D101, D218, D126, D60, D152, D607, D71, D43, D38, D83, D202, D62, D207, D49, D3, D39, D596, D65, D180, D68, D55, D54,",4,bronze,6 ,Tue May 29 2012 20:05:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1969,/competitions/bioresponse,92nd
/medial,Final score - how to submit ?,"Hi, I will be happy to have a clear and exact explanation, how and when one should submit the file for the rest of the testing (on which the final score is calculated) , Thanks",0,None,3 ,Tue May 29 2012 21:48:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1972,/competitions/kddcup2012-track1,6th
/xiaocongliang,Is it still able to submit on June 1?,"Could someone tell us whether it is ended before the midnight between May 31 and June 1, or ended between June1 and June 2? Thanks.",2,bronze,2 ,Wed May 30 2012 07:58:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1973,/competitions/kddcup2012-track1,3rd
/datalev,RF and boost tree,Does anyone obtain an individual model that can reach <0.425 by using RF or Boost tree with selected raw variables only? How many variables should be put into RF with only 3700 records? It seems that without feature engineering it's difficult to reach top 20.,0,None,17 ,Wed May 30 2012 16:57:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1974,/competitions/bioresponse,125th
/char144275,How to delete a member in a team?,Anybody any tell me how to delete a member in a term ?,0,None,7 ,Thu May 31 2012 04:52:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1975,/competitions/kddcup2012-track2,3rd
/imran2,Anyone interested in joining teams ?,"My current score (0.414) comes from creating an ensemble of weak learners, so I'd be particularly interested in partnering with someone who has a strong individual learner or significant performance gain from feature engineering. I've attached a copy of my cross-validation outputs from the training set, so people can try combining my results with theirs and see if they can generate improved results. Email me if you're interested (imranghory@gmail.com) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2535/crossvalidation.csv",4,bronze,6 ,Thu May 31 2012 18:41:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1976,/competitions/bioresponse,7th
/wfczcsbuaa,"still want the results scored, is it possible?","Hi, I'm not able to submit the results on time, but I still want them scored, not for leaderboard. Is this possible?",0,None,2 ,Fri Jun 01 2012 08:14:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1977,/competitions/kddcup2012-track2,None
/tqchen,Delete the Duplicated Teams,"I repost the post here so that it can gets more attention. Currently there are many teams in the leaderboard which are duplicated. For example: team [Link]:https://www.kddcup2012.org/c/kddcup2012-track1/leaderboard#0.42784 with a user named ""tired"" which is closed. These accounts may be multiple registered accounts and closed by their owners. Cleaning them from leader board can help other players to know their clear position currently, and it's very important.",1,bronze,1 Comment,Fri Jun 01 2012 13:02:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1980,/competitions/kddcup2012-track1,1st
/josephinazx,"When the competition is over, can anybody tell that how to achieve a score larger than 0.42?",Steffen said that he used a single FM model to achieve a score 0.41509 on track1. I wonder how to do that. What does your best single model score in the leaderboard? Which are the most useful information or rules in the dataset?,0,None,6 ,Fri Jun 01 2012 17:32:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1982,/competitions/kddcup2012-track1,45th
/speedup,Submissions last time,"Hello, My team made it' s first submission today Fri, 01 Jun 2012 23:49:26 but we can't see our teams name in results... Website says it still calculates our score, does that mean we will appear afterwards? It keeps calculating a long time now.... Should we be worried?",0,None,2 ,Sat Jun 02 2012 02:28:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1984,/competitions/kddcup2012-track2,153rd
/kddqiang,A Clean Leaderboard?,"Some teams have already closed there account, when will the leaderboards be cleaned?",0,None,4 ,Sat Jun 02 2012 05:09:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1985,/competitions/kddcup2012-track1,13th
/eraviv,leaderboard results,"Hi all, I am a bit worried.. :) The leader board results.. can anyone explain how are these calculated? Is it some kind of ratio? or indeed their methods manages to pinpoint the sales with such a small margin.. Regards",0,None,1 Comment,Sat Jun 02 2012 15:42:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1986,/competitions/online-sales,139th
/chaosdecoded,What are the other files ?,"Beside test.csv and train.csv, there is couple of other files in the Data ""section"". What are they ?",0,None,1 Comment,Sun Jun 03 2012 04:44:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1987,/competitions/bioresponse,228th
/chaosdecoded,Question about the Submission and test data.,Are our submissions evaluated against categories 0 / 1 or probabilities (range of 0-1 )?,0,None,1 Comment,Sun Jun 03 2012 05:00:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1988,/competitions/bioresponse,228th
/iotcasc,Will the true dataset be released?,"I want to know whether the true dataset for test will be released,we hope to do more research on Track 1.",0,None,1 Comment,Mon Jun 04 2012 10:22:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1989,/competitions/kddcup2012-track1,94th
/lamkelf,Final Submission question,"A newbie question. The final standing will be based on the 75% of the test set. Do we submit our own codes and let Kaggle run for us, or we will be given the data a day or two prior to June 15 to let us make our ultimate submissions? If it is in FAQ please let me know. Big thanks!!",0,None,2 ,Mon Jun 04 2012 14:48:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1990,/competitions/bioresponse,43rd
/benhamner,Welcome,"We are very excited to launch our newest product, Kaggle Recruiting Competitions, with Facebook! For this competition, you may demonstrate your machine learning skills by recommending users to follow in an anonymized, directed social graph. Facebook will review the code and methods that the top participants use and offer interviews to the best ones. Kaggle's been very successful through hiring some of our top participants, and we wanted to extend this capability to other organizations seeking top data scientists. We hope you have fun with this new addition to the hiring process, where you may succeed based on your skills and abilities instead of how polished your resume is. Please let us know if you have any questions about the nature of the competition or the data!",0,None,10 ,Tue Jun 05 2012 22:57:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1991,/competitions/FacebookRecruiting,367th
/jscheibel,a little clarity,"I'm new to this style of scoring so I want to make sure (1) If among the 5 items recommended to the user, the user clicked #1, #3, #4, then ap@3 = (1/1 + 2/3)/3 ≈ 0.56 (2) If among the 4 items recommended to the user, the user clicked #1, #2, #4, then ap@3 = (1/1 + 2/2)/3 ≈ 0.67 (3) If among the 3 items recommended to the user, the user clicked #1, #3, then ap@3 = (1/1 + 2/3)/2 ≈ 0.83 shouldn't that be (1) If among the 5 items recommended to the user, the user clicked #1, #3, #4, then ap@3 = (1/1 + 2/3 + 3/4)/3 ≈ 0.81 (2) If among the 4 items recommended to the user, the user clicked #1, #2, #4, then ap@3 = (1/1 + 2/2 + 3/4)/3 ≈ 0.91 (3) If among the 3 items recommended to the user, the user clicked #1, #3, then ap@3 = (1/1 + 2/3)/2 ≈ 0.83 *edit* (and if not, could someone explain why the last term was droppped in the first 2 but not in the 3rd, again just new to this style of scoring and was looking for clarity)",0,None,1 Comment,Tue Jun 05 2012 23:43:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1992,/competitions/FacebookRecruiting,None
/weiwunyc,Submissions page does not show the scores ,"On my ""Submissions"" page, the scores for each of the submissions are not displayed. I don't know it is just a problem for my account or if other people have the same problem. I am participating in another competition, the submissions page for that competition is normal, showing the scores for all the past submissions.",0,None,2 ,Wed Jun 06 2012 00:10:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1993,/competitions/bioresponse,53rd
/jorgenhorstink,social graph dates,"Hi, Is it possible to get the dates of the nodes when they joined the network, and the date when the directed edge is created? It would helpful to understand the state of the network over time and when edges were created. This is helpful for determining how strong a connection is. Time is a very relevant factor. cheers, Jorgen",0,None,2 ,Wed Jun 06 2012 00:49:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1994,/competitions/FacebookRecruiting,None
/stevenhnoble,Anymore information on how the edges were removed?,Can you share at all how the edges were removed or how many were removed? This would be really useful for generating data for a fitness test.,0,None,2 ,Wed Jun 06 2012 02:37:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1995,/competitions/FacebookRecruiting,None
/waynezhang,cross validation,I have no idea on how to conduct cross validation for this task. Deleting more edges? Anyone who gives some hint? Thanks.,0,None,3 ,Wed Jun 06 2012 04:27:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1996,/competitions/FacebookRecruiting,None
/raviteja,SAS/SQL code for c value or AUC of ROC ,"This code can be used for calculating AUC of ROC or the c value in sas: /*dataset data=sasuser.validation with predicted response*/ proc rank data=sasuser.validation out=rank_out; var Predicted_response; /* predicted response variable*/ ranks Pr_rank; /* rank variable*/ run; proc sql; select SUM(response=1) as tv, (SUM(Pr_rank*(response=1))-.5*(calculated tv)*(calculated tv+1))/((calculated tv)*(COUNT(response)-(calculated tv))) as auc from rank_out;",0,None,2 ,Wed Jun 06 2012 12:16:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1999,None,None
/ajschumacher,Good first step: make graph more commutative,"Hi! So, this graph is directed, meaning you can have A -> B without having B -> A. For kicks, I did a solution where my only predictions were those that made the graph more commutative. That is, if in the training set A -> B but not B -> A, and I had to predict for B, I predicted A. When there were more than ten such possible predictions, I just took the first that happened to be in the list. For some entries in the test set, I didn't make any prediction at all. I was wondering if I would get a score of zero, since this is such a simple technique and maybe the data was designed so that all good predictions didn't exist going either direction in the training set. But instead I got a score of 0.61523, which is currently good enough for third place. So: I suggest as a first step just introducing all the missing reciprocal edges that you can - then work on making a smart algorithm for your remaining guesses. No more low scores!",22,gold,10 ,Wed Jun 06 2012 20:56:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2000,/competitions/FacebookRecruiting,199th
/ajschumacher,Alternate explanation of Mean Average Precision,"The provided [Link]:http://www.kaggle.com/c/FacebookRecruiting/details/Evaluation is fine and all, but I will explain it differently here. (I would love to hear any improvements/corrections!) Consider one row of test.csv. You have a source_node, and you have to predict an ordered list of up to ten destination_nodes. Facebook and Kaggle know, for that source_node, some number of correct destination_nodes. For this row (one list of predictions) we do a sum and then divide to standardize. For every prediction, is it correct? If it isn't correct, you get no points for that prediction. If it is correct, you get a number of points equal to the number of correct predictions up to and including this one, divided by the position of this prediction in the list. For example: Prediction Correctness Points 1 wrong none 2 right 1 / 2 3 right 2 / 3 4 wrong none 5 right 3 / 5 6 wrong none 7 wrong none 8 wrong none 9 right 4 / 9 10 wrong none Note that order matters; if the correct answers in this example had been in positions 1, 2, 3, and 4, the sum at this point would be 4. The number you divide by is the number of points possible. This is the lesser of ten (the most you can predict) and the number of actual correct answers that exist. For this source_node, maybe there are only four possible correct predictions. Then divide by four. This makes the maximum possible average precision for every line of the test set equal to one. So average precision is the ""average"" of the ""precision"" at every position in the list of predictions. (Oh - and if there are no correct answers or you make no predictions, then the average precision is just zero.) Is it bad to submit a lot of predictions for every test source_node? No. There is no harm in using all ten guesses per test source_node, even if that source_node has fewer than ten correct destination_nodes. However, since order matters, it is important to put your best guesses first. Does every test source_node have correct destinatin_nodes? It seems likely, but is nowhere promised. It doesn't particularly matter, but if there are no correct answers, then everybody gets a zero for that row. All the test source_nodes at least exist somewhere in the training data, but not necessarily as source_nodes. Does order really matter? Okay: if all your predictions are correct, then order doesn't matter. The only bad thing is having an incorrect prediction before a correct prediction. The ""Mean"" in ""Mean Average Precision"" is just how all the individual (per test data set row) average precision scores get combined. Mean means mean. More thoughts? Also: my code to implement this: [Link]:https://gist.github.com/2891017",54,silver,8 ,Wed Jun 06 2012 22:06:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2002,/competitions/FacebookRecruiting,199th
/wcukierski,Graph-based Features for Supervised Link Prediction,(alternate title: shameless self promotion...) Competitors may find this paper helpful. Good luck to all! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2594/supervised_link_prediction.pdf,27,gold,7 ,Thu Jun 07 2012 01:49:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2003,/competitions/FacebookRecruiting,None
/jinglei,How long will the submission system run?,how long will us could submit the resuld though the competition has completed?,0,None,1 Comment,Thu Jun 07 2012 03:31:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2004,/competitions/kddcup2012-track1,None
/andrew37,BFS Benchmark error,"In the BFS benchmark code, next_node should be added to looked_at at some point in the while loop, eg: while queue and len(visited)<num_nodes: next_node = queue.popleft() looked_at.add(next_node) if next_node not in neighbors: visited.append(next_node) queue.extend(n for n in graph[next_node] if n not in looked_at) Otherwise the BFS will continue to visit nodes it has already seen. This won't make much difference in this case because we are stopping after visiting 10 nodes anyway, but in an unbounded BFS it would be pretty inefficient. You can see the consequences of this error by, for example grep 1861969 bfs_benchmark_web.csv 1861969,1106237 1562455 338173 1106237 200587 244377 421994 1106237 611500 1562455 1106237 and 1562455 are listed twice.",2,bronze,1 Comment,Thu Jun 07 2012 11:47:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2005,/competitions/FacebookRecruiting,135th
/carlosalberto,Users with no history of songs ,"There are 110,000 users in the file, and the file kaggle_users.txt kaggle_visible_evaluation_triplets.txt 79451 users with their respective history of played tracks and frequencies. How should I recommend to 30,549 songs that have no historic listen to songs? What criteria should I follow for these users? Thanks.",0,None,2 ,Thu Jun 07 2012 16:56:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2006,/competitions/msdchallenge,145th
/martyspence,Real social network?,"If this data were real then going deeper than one or two nodes would probably be useless, friends of friends of friends probably don't have much to tell you about potential friends. However, with so few connections associated with each node this becomes necessary to build up a list of 10 possible friends. Also, facebook data is undirected (friendship is always recipricol), however this data is not. The competition seems a little boring with data that is so extremely unrealistic. I lost interest.",2,None,6 ,Thu Jun 07 2012 19:04:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2008,/competitions/FacebookRecruiting,None
/benoitplante,Sample code,"Was anyone able to run the sample code using an alternative to Matlab, like Octave? In Octave, I got issues with the missing 'mmread' function so it can't open the video files...",0,None,2 ,Fri Jun 08 2012 03:32:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2010,/competitions/GestureChallenge2,29th
/bradybenware,Out of bag estimates vs. CV,"I have written my own random forest code and am calculating the log loss for the out of bag examples. These are accumulated over all tress. With a straight forward random forest algorithm I get a log loss of 0.432 on the out of bag examples, however a submission based on this produced a log loss of 0.447. I have not tried to do a CV based on this as I would have expected the out of bag estimate to have a similar effect as CV. I have not come across anything in the literature about out of bag estimates, but I am starting to doubt their reliability. Anyone have any experience with this?",0,None,11 ,Fri Jun 08 2012 03:53:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2011,/competitions/bioresponse,50th
/edramsden,License Fees?,"2. GRANT OF LICENSE Subject to payment of all license fees due hereunder, Practice Fusion hereby grants you a nonexclusive license to use the Licensed Content as from time to time made available by Practice Fusion through Kaggle during the term of this Agreement. The Licensed Content is licensed to You solely and may not be sublicense.... We have to pay to play in this competition? :(",0,None,3 ,Fri Jun 08 2012 05:45:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2012,/competitions/pf2012,None
/magicjin,Big gap between cv error and error on the leaderboard,"I do 10 repititions of 10 fold cv and my cv error is 0.4357,but error on the leaderboard is 0.4126.... Have I done something wrong or are others finding the same?",0,None,1 Comment,Fri Jun 08 2012 06:15:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2013,/competitions/bioresponse,123rd
/randomforestfanatic,Results?,"Is anyone planning on posting their methodology? I'd be interested to hear about any techniques that other people tried... My model didn't perform too well. I first tried cleaning up the data (reducing it to a standard range, removing linear trends, etc). I added some new features, such as the Fourier transform of each person's eye movement and then ultimately combined all the predictors using a random forest. What other models did people use? Did ensembling help? What about feature selection/engineering?",0,None,4 ,Fri Jun 08 2012 13:49:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2014,/competitions/emvic,18th
/medicomp,UserGuid,What does the UserGuid represent? What about the PracticeGuid?,0,None,1 Comment,Sat Jun 09 2012 00:01:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2015,/competitions/pf2012,None
/mashhoori,When will the results on the leader board become final?,I think the leader board still shows closed accounts and multiple accounts of some teams. When will the results on the leader board become final?,0,None,1 Comment,Sat Jun 09 2012 09:07:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2017,/competitions/kddcup2012-track1,27th
/gravier,Book/tutorial on network analysis?,"Hi all, Does anyone has a good book/tutorial on network analysis to recommend, ideally freely available online? Best, Gr.",0,None,4 ,Sat Jun 09 2012 16:19:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2018,/competitions/FacebookRecruiting,276th
/aiolli,Problems with the server?,"Hi all, I am not able to submit today.. ""Sending the request"" takes too long! I have tried several times. I wonder if there are problems with the server..",0,None,2 ,Fri Jun 01 2012 11:34:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/1979,/competitions/msdchallenge,1st
/bedwal,What if no gesture is identified at all?,"Sir, If the system is not able to identify any gesture at all, or something that does not match any of the training set gestures even remotely, what value should be given to that? Regards Jitender Bedwal",0,None,2 ,Sun Jun 10 2012 11:56:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2021,/competitions/GestureChallenge2,8th
/bedwal,Specialized Hardware & Computing Resources,"Sir, for the Quantitative part. 1. Can we use specialized system (hardware) for training? 2. Is there any restriction on computing resources? Comuting time? for the Qualitative part: 1. Can we use our own system & software for demonstration/verification? Best Regards Jitender Bedwal P.S. I have the complete rights to use both the software & hardware",0,None,4 ,Sun Jun 10 2012 12:34:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2022,/competitions/GestureChallenge2,8th
/woshialex,Is it always better to predict 10 member based on the evaluation method?,Am I right? The denominator n is the true number of follows not the number of follows I predicted?,0,None,1 Comment,Sun Jun 10 2012 15:50:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2023,/competitions/FacebookRecruiting,169th
/djmachet,techniques to produce a result set,"Ok, so I loaded the data into a mysql database, ran a simple select statement i.e. select * where source_node = 24; it takes roughly 1 min to run!!!! If I have to do this for +- 200000 records it'll take 300 days. Are there ways to speed up the db querying (first thing in my mind was to put the database on a db hosting site but I'm not sure that'll make it any quicker)",0,None,12 ,Sun Jun 10 2012 21:23:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2024,/competitions/FacebookRecruiting,408th
/liuyipei,Kaggle Competition Workflow not Entirely Fair,"Since the 2 submissions per day limit does not accumulate, people who submit results everyday would see the validation results of more submissions. By having more submissions, and by making decisions based on the results of these submissions, one would take better advantage of the hidden validation set used in the public. Isn't this a problem? (A problem both in terms of fairness, and (technically) in terms of what the ""training set"" was composed of, if you ever tried to publish based on the competition.) One way around the fairness issue would be to allow submission counts to accumulate over time. Has this concern been discussed in the past? [Editted for spelling and grammar]",0,None,2 ,Mon Jun 11 2012 09:44:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2025,None,None
/muhammadalkhwarizmi,Confusing requirement,"""Winning participants are required to demonstrate, in document form, their models improvement over basic regression tests (Receiver Operating Characteristic Curves desired, but not mandatory for comparison)"" What sort of ""basic regression tests""? Why are ROC curves requested? From what I can tell, those apply to binary classification problems, or at least discrete classifications in general. But we're predicting continuous values here.",0,None,1 Comment,Mon Jun 11 2012 10:11:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2026,/competitions/twitter-personality-prediction,None
/datagenetics,Rounding in error score? (or maybe not!),"Yesterday I submitted a file and obtained a score of 0.65468 Shortly after submission, I discovered that I'd made a (stupid) coding error, and rather than saying ""SELECT TOP 10"" for each row, I'd left off the ""TOP 10"", and so many rows had significantly more than 10 entries!! Ooops! I corrected this mistake to cap the number to 10 and prepared another file. Also, I noticed some rows had no entries, and rather than leaving them blank, my updated submission filled these out using nothing more than a simple frequency ordered data. If I understand the scoring algorithm correctly, I'm not penalized for guessing, (as long as these guesses appear at the end), and since I was just padding out then, at worst, my score should stay the same, and there is chance it could get better. Imagine my surprise when I submitted the new file and found my score had gone down! I to 0.65462 (OK, a very, very minor drop of 0.00006, but still a significant rounding error). Is this a rounding issue in their scoring code? EDIT - Thinking about this for a second, the issue could be on my side. When I do the SELECT .... ORDER BY [RANK] DESC statement, it could be that there are multiple entries that have the exact same [RANK] around position #10, and then when I did the SELECT TOP 10 .... ORDER BY [RANK] DESC it selected a different arbitrary order for entries that with identical [RANK] values, and pulled different values? ... :) Anyway, the take away from this is that padding out the rows that there are no obvious answers for with data simply derived from the most popular links appears to do nothing to boost your score. There appear to be some orphaned entities out there with no outbound links! (Oh and another take away is that the scoring system does not reject badly-formed submissions, it simply takes the first 10 entries on each row and ignores the rest. No penalty for being a bozo!)",0,None,1 Comment,Tue Jun 12 2012 02:32:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2028,/competitions/FacebookRecruiting,202nd
/zachmayer,"Sample code for isotonic regression/platt scaling, etc.","Is anyone willing to share sample code for adjusting predicted probabilities using isotonic regression, platt scaling, or another method? I'm having a lot of trouble wrapping my mind around this concept. Thank you",1,None,19 ,Tue Jun 12 2012 20:58:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2029,/competitions/bioresponse,45th
/bedwal,Human Performance vs Machine,"Is it necessary to beat Human Performance Benchmark (0.02488) for somebody to be able to complete this challenge? Are you guys accomodating the errors made by the volunteers while performing the gestures/ training while calculating the errors or is 0.0000% not achievable? What are the submission restrictions (# of allowed submissions per day etc.) for the final data set or there is only one try? I'm sorry, I couldn't take part in the first round, so, I don't know how this works.",0,None,1 Comment,Wed Jun 13 2012 00:26:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2030,/competitions/GestureChallenge2,8th
/rakeshkumarrakshit,Multiple submissions possible?,"Hi, I had a doubt regarding the multiple submission of the recommended songs file. I need to know that is it possible that I create a basic algorithm and make a submission and get some score and after improving my algorithm, I again submit the new recommendation achieved? Is there any restriction to the number of times I can make a submission? Please help. Thanks and Regards, Rakesh Kumar Rakshit",0,None,1 Comment,Wed Jun 13 2012 08:30:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2031,/competitions/msdchallenge,122nd
/lubimovnik,problem with opening hdf5 files on Windows7,"Hi! I have some issues while reading the data from *.h5 files. I'm using Python 2.7 under Windows 7. First I open them typing h5 = hdf5_getters.open_h5_file_read(some_h5_file) - everything seems to be ok, no errors occur. Then when I try to read something, for example num_songs = hdf5_getters.get_num_songs(h5), then my program crashes with unhandled exception. By exploring detailed information in crash dump file, I have observed 0xC0000005 exception code, meaning that 'The thread tried to read from or write to a virtual address for which it does not have the appropriate access'. I have also tried with display_song.py script and achieve the same result. I've googled several general receipt for this error but nothing has helped. Did anyone run into the same problems?",0,None,2 ,Wed Jun 13 2012 13:35:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2032,/competitions/msdchallenge,50th
/pratik,"Meaning of AVar, LVar, FVar","What is meaning of the variables? Where can I find more information about them? What is significance of A, L and F?",0,None,3 ,Wed Jun 13 2012 15:59:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2033,/competitions/twitter-psychopathy-prediction,None
/blindape,How much the blending can do?,I'm getting an improve of 0.0027 blending my individual models. I think scores in the 44s will need models under .453 or blending improve in the 0.0050 range or probably both. How much are you getting with the blending?,0,None,1 Comment,Wed Jun 13 2012 19:18:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2034,/competitions/hhp,3rd
/briandel,sorting on submission set,"Hey, I am about to make my first submission and I want to be clear on two points. 1. The data set needs to in the same order as test.csv 2. The list of up to 10 recommendations is sorted highest to lowest rank (i.e. most likely is first). Thanks,",0,None,2 ,Thu Jun 14 2012 17:25:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2035,/competitions/FacebookRecruiting,61st
/pwfrey42,Number of Patients,"Given the complexity of the data, prediction accuracy would be significantly improved if additional patients could be added to the data file. After working with 23 million users in Track 2 of the 2012 KDD Cup, 10,000 seems like a small number of patients. Many hidden relationships become apparent as the number of observations increase.",0,None,4 ,Thu Jun 14 2012 18:50:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2036,/competitions/pf2012,None
/pwfrey42,ID strings,"I wonder if their is a rationale for identifying patients, providers, medicines, etc. with very lengthy strings of characters, apparently based on medical practice. Would it not be simpler to identify each patient with a number between 1 and 10,000? This could be applied to provider IDs also and possibly elsewhere in the data set. Would anything be lost by this simplification? The size of the datafiles would be significantly reduced and fewer CPU cycles would be needed when working with the data.",2,bronze,1 Comment,Thu Jun 14 2012 18:57:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2037,/competitions/pf2012,None
/randomforestfanatic,Post Response Model Analysis,"So, this question isn't related to a kaggle competition, but it's realted to data mining... And, if any of you kaggle/data mining pros out there can help me out, that would be awesome! Here's my question. My company mails catalogs to customers. We built a response model (tried a few basic approaches: logistic regression, decision trees, random forests, ...) to predict whether or not a customer would respond. We scored the customers and then segmented them into 10 segments (using predicted probabilities of response from the model). We mailed the highest % of customers in the top segment and progressively lower % in each segment (so, say, 90% of customers in segment 1, 80% in segment 2, etc). Now, though, we think we have some potentially better models. So, we've gone through and rebuilt models using the same input data and then predicted response. The question we really want to answer now is: ""Would using these better models result in a better segmentation and a better return on our investment?"" However, every time we resegment customers like this, our new models end up looking extremely better than the old (unbelievably so). We even used a very basic model that should perform much worse than our original model, and that vastly outperformed the original. Does anyone recognize a problem with this process? Any recommendations or suggestions would be greatly appreciated!",0,None,7 ,Fri Jun 15 2012 17:25:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2040,None,None
/hallayang,Congrats to the winners,"The scores are substantially lower on the final standings vs. the preliminary standings. Wow. Congratulations to the winners. I thought this was a hard competition because the X and Y variables are all completely detached from any meaning, leaving little room for intuition, spark or creativity. Couldn't do much except RF + some platt scaling and hoping for the best with genetic algorithms.",1,bronze,53 ,Sat Jun 16 2012 02:05:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2041,/competitions/bioresponse,112th
/vgoklani,Best way of defining your training / validation / test set,"Hi, Given that the adjacency matrix is so sparse, what's the optimal way of defining your training and test set? I started by chooing 25,000 random edges from the edge-list, used the node correspondence to define my initial feature set (i.e. assigning a classification score of +1), and then choose another 25,000 edges that weren't on the edge list (and assigned them a score of -1). But this in no way resembles the true distribution of the adjacecy matrix. How are other people approaching this issue? Thanks, -V-",0,None,3 ,Sat Jun 16 2012 04:07:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2042,/competitions/FacebookRecruiting,46th
/toeinn,What the task really is,"Given that there is no temporal data, am I correct in rephrasing the task in the following terms? Given a set of songs that have been listened to for each user (and any other data that the team wants to use), provide a list of 500 other songs that the listener is likely to have listened to, in decreasing order of probability that they've listened to it (for each user).",0,None,1 Comment,Sat Jun 16 2012 07:00:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2043,/competitions/msdchallenge,88th
/lubimovnik,song2tracks question,"Hello! I'm wondering if we have two tracks per song listed in 'taste_profile_song_to_tracks.txt', which track is actually listened by user?",0,None,3 ,Sat Jun 16 2012 14:01:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2044,/competitions/msdchallenge,50th
/emanuele,The code of my best submission,"Here you can find the code of my best submission (17th): [Link]:https://github.com/emanuele/kaggle_pbr It is a simple blending of Random Forests, Extremely Randomized Trees and Gradient Boosting. A trick to get a better score was linearly stretching the prediction to fill [0,1]. Unexpectedly it did better than Platt calibration. The code is based on the excellent scikit-learn Python library. I'm publishing my code to invite other participants to do the same.",38,gold,15 ,Sat Jun 16 2012 23:41:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2045,/competitions/bioresponse,17th
/udnisap,Ranking system,I have a problem with the ranking system. the system says it only consider only 25% for the current ranking and other 75% will be taken after the contest. and in the current system if a new submission has less score than the current maximum score it will not be shown. So after the contest does ranking is calculated by the best of all submissions or the submission that has 25% best (current leaderboard entry) For example there can be similar submissions which has similar scores in 25% and among them one might that has low score in 25% but might have high score in other 75%.,0,None,1 Comment,Sun Jun 17 2012 15:28:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2046,/competitions/FacebookRecruiting,198th
/macsdev,Reducing run time for graph creation?,"Any tips on reducing the run time for graph creation? It takes nearly 40 seconds on my i7 with 4 GB of RAM. If I add one more graph, it shoots up to 80 seconds. If I use pickle to save the data structure, I save 30 seconds for the 1st graph (with a 68 MB file). Not able to successfully save the second graph with pickle yet. Eventually, for submitting, I guess we have to let the graph computation happen in run-time.",0,None,7 ,Mon Jun 18 2012 06:13:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2047,/competitions/FacebookRecruiting,203rd
/rajstennajbarrabas,Will the test dataset be released?,"I'm interested in a copy of the complete (with answers) dataset. Will that be available, once everything settles down?",0,None,12 ,Mon Jun 18 2012 08:20:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2048,/competitions/bioresponse,641st
/jasonkarpeles,Column Pointer,"I noticed there was a ""0"" for a column pointer. What does this mean? Does this mean column 1 or something else?",0,None,5 ,Mon Jun 18 2012 23:18:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2050,/competitions/emc-data-science,47th
/harriken,Better tittle?,Wondering why such a longwinded tittle and not the straight forward... Make a plagiarism detector. instead of the Match source code files to the open source code project,0,None,6 ,Mon Jun 18 2012 23:35:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2051,/competitions/emc-data-science,None
/alkhwarizmi,questions about the data,"I downloaded the data months ago but I am now finally finding time to look at this. I have a few questions about the data. Sorry if they have already been answered somewhere else. 1. The second column in the target file is ClaimsTruncated. The exact same numbers are in the sample entry. What is this? Are we supposed to estimate it or just copy it? 2. There is a field called DSFS (days since first service) in three different files - Claims, DrugCount, LabCount. Are these different days since first service? 3. DaysInHospital_Y2 is the outcome for members with claims in Year 1. Is this the length of time for the claim in Year 1? Something else? The naming is a little confusing. Same question for DaysInHospital_Y3.",0,None,7 ,Tue Jun 19 2012 01:21:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2052,/competitions/hhp,None
/neutrino0,Sample code,"Hi, I've just made my first submission using the sample code with random forest. I don't understand why my submission got only 1.20730 on the leaderboard and not 0.80851. Am I missing something? Thanks",0,None,1 Comment,Tue Jun 19 2012 03:02:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2053,/competitions/online-sales,264th
/del=442bcfad98d1084b,Welcome,"Welcome to EMC Israeli Center of excellence Data Science Challenge We are very excited to launch this challenge and take part in the development of the BIG data and data science community. EMC places a great deal of focus on Data Analytics within Big Data infrastructures. The source code classification project was chosen since the rapid growth in open source repositories and the number of source files stored in such repositories exhibit some of the characteristics of BIG data, and for the large number of applications source code classification may have ranging from data loss prevention products to incorporation of source code models in search engines in order to find similar projects. We tried to gather enough data to make the problem as BIG as possible and yet, approachable using off-the-shelf and common personal computers. Please let us know of any questions you have regarding the data, utility functions for reading the data, submissions and evaluation. Good Luck !",0,None,2 ,Tue Jun 19 2012 11:33:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2054,/competitions/emc-data-science,None
/ialuron,Songs with no Track in the taste profile,"Hi all, Talking about the taste_profile_song_to_tracks file, some songs don't have the related track. This happens for very popular songs as well. For example, song SOFRQTD12A81C233C0 doesn't have any matches. You might have a look here: http://labrosa.ee.columbia.edu/millionsong/blog/12-1-2-matching-errors-taste-profile-and-msd Has the wrong match problem been solved deleting the corresponding track in the taste_profile file? Is there another way to retrieve information about those songs? For example, I tried to get some metadata from EchoNest, using their IDs, but I didn't get any info either. Thanks",0,None,2 ,Tue Jun 19 2012 12:20:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2055,/competitions/msdchallenge,49th
/bradybenware,team name = #,Why are some of the team names just numbers? I assume it is so one can compete anonymously?,0,None,1 Comment,Wed Jun 20 2012 17:46:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2058,/competitions/FacebookRecruiting,8th
/lisaj2870,columbia's site is down....,can't connect to http://labrosa.ee.columbia.edu/millionsong/. Anyone else having problems??,0,None,1 Comment,Thu Jun 21 2012 01:00:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2060,/competitions/msdchallenge,None
/laurah0,Patient selection,"What were the selection criteria/process for the 10,000 patients? Was random sampling used? What is the population from which they were drawn?",0,None,5 ,Thu Jun 21 2012 13:59:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2061,/competitions/pf2012-at,None
/chrisraimondi,Where are all the women?,"I have a nice girlfriend - so I am not trolling for someone, but curious as to any estimates of the % of women on Kaggle. The co inventor of Random Forests was a woman. The first computer programmer was a woman. I see around 2 out of 12 people on the kaggle team are women. But I have only seen a handful of female names and only one pic in the forum I can remember as a woman (ok two pics, but I think one is pretending). I haven't taken any ML classes - so I am not sure if this is to be expected. What % of women have you seen in these classes? Is it higher or lower than your standard computer science classes? What about statistics?",2,None,14 ,Thu Jun 21 2012 16:52:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2062,None,None
/bcragin,Data combination,"This question relates to the fact that Personalilty and Psyhcopathy Prediction contests are similar in form, the only ostensible difference being their differing target variable sets. If the training and test examples are the same in both contests (something which has not been stated explicity), it becomes possible in principle for knowledge of the ""ground truth"" values of the training variables of one contest to be useful, indirectly, in predicting the test values of the other. One can imagine, for example, that predicted psycopathy may be useful as an ""engineered"" predictor variable in a model for narcissism (or vice versa). Arguably this combination of data is forbidden by Rule 5 of both contests: ""Participants will not use data other than that provided to estimate their model."" The term ""that provided"" is somewhat ambiguous here, however. Participants entering both contests have arguably ""been provided"" with both sets of information. There appears to be little to stop them from combining the two training sets during the exporatory phase of model development, whether or not any insights gleaned in that way are openly acknowledged in the final submission. Some guidance on this point would thus be appreciated. Perhaps the optimal solution would be to simply allow such data combination.",2,bronze,4 ,Thu Jun 21 2012 19:30:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2063,/competitions/twitter-psychopathy-prediction,2nd
/glider,Splunk Feedback,Anyone had a chance to play around with the data in Splunk yet? Starting this forum thread to collect feedback on what you like and what you don't.,0,None,3 ,Fri Jun 22 2012 02:10:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2064,/competitions/predict-wordpress-likes,None
/jscheibel,When is it better to keep the algorithm to yourself?,"Suppose you are working on a contest and through your own research come up with a technique that is say, 4% better than the best thing anyone has tried. (just pulling numbers out of the air here) At what point is it better to not claim the prize on said contest and just keep the method a secret. At what point should you publish it? Does it ever make sense to just use it in your own capacity analyzing data for companies as a 3rd party? I mean I'm sure it's all dependant on the money involved but one has to wonder where the breaking point is. What can you make as an indpendent 3rd party willing to do analysis with proprietary software you arent realeasing? In such a case how could you ever provide confidence enough that the methods work? Also how would you bill if essentially the time spent is mainly runtime. I'd love to hear any speculation, stories, industry standard behavior or history around that sort of thing.",0,None,5 ,Fri Jun 22 2012 18:01:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2065,None,None
/shnthn,Feature engineering in obscured datasets,Hi I am new to Kaggle competitions and am looking for some advise on how people normally go about engineering new features in datasets such as this where the meanings of the variables are obscured. Any tips? Or direction on good resources to read? Thanks for any help!,0,None,4 ,Sat Jun 23 2012 00:16:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2066,/competitions/online-sales,133rd
/jberryman,"""likes"" in testPostsThin.json","Possibly dumb question as I'm still getting oriented to the data: there are 57 entries in testPostsThin.json that have a non-empty list of associated ""likes"". It looks like these are what remained after purging all the test set user ""likes"" from the file. Is that correct?",1,bronze,1 Comment,Sat Jun 23 2012 04:54:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2067,/competitions/predict-wordpress-likes,None
/quidity,Some thoughts and some statistics,"So far my best approach has resulted from combining a couple of fairly obvious ideas. Machine learning approaches can do well, but so far are only getting close to these brute-force approaches. Anyway, I'm about to get busy with real life, so here are some questions I don't quite have an answer to, and a document showing the graph properties I've found helpful in formulating my algorithms. Perhaps they will help you! Is it sensible to target the relatively unconnected nodes? Does using the directed graph make any difference when selecting from the local region to produce cliques? So far I have assumed that the node labels are meaningless, but is there any correlation? This would allow for selection of ‘nearby’ nodes numerically if no topographical suggestions exist. Binned adjencency matrix suggests even distribution of links/labels. I think better sorting of current candidate selections from cliques will be the key to improving the final prediction. This should be possible using candidate small-diameter graphs with limited node numbers and a graph database to match addition probabilities by comparing with the topology that would result by adding an edge. This might be slow... The neighbourhood size plot suggests that 90% of nodes can be dealt with using candidate graphs with only 40 or 50 members. The remaining 10%, with many neighbours, can probably be ignored (i.e. treated with only simple metrics). This might allow improved runtimes by caching the size of a node’s neighbourhood. It may even be possible to break apart the graph into smaller components. The very-connected nodes are probably not very predictive, as I’d expect small cliques to be good predictors, while diffuses ‘interests’ will not be. Applying a local-modularity approach yields scores in the region of 0.3 (compared with breadth-first of 0.09 for BFS). Can we work out a maximum possible reasonable score? Is the graph we’re provided with a time-snapshot of a graph that later grows naturally, or is it a real graph with edges deleted according to some selection criteria? In a real (i.e. employment!) situation I’d expect to train an algorithm from historical data, so it’s a shame that in this competition we are not provided with a subset of the correct graph, as the only way to iterate solutions at the moment is to submit them, which is frustrating... [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2721/graph-thoughts.pdf",17,silver,4 ,Sat Jun 23 2012 05:55:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2068,/competitions/FacebookRecruiting,122nd
/waynezhang,discrepancy between the two contests,"I use exactly the same approach for the two contests: personality and psychopathy the two contests share the same training data except the different prediction targets. However, I found the approach work well for personality but badly for psychopathy. (there are also great differences between the two leaderboards.) In addition, tuning to better CV score in psychopathy leads to decreasing leaderboard score. I wonder if there's anyone who has similar experience? What could be the reason for such effect?",0,None,7 ,Sat Jun 23 2012 15:47:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2070,/competitions/twitter-psychopathy-prediction,20th
/daia26392,Bad times for ANNs ,"I know I'm entering in a TOP SECRET confidential area :), but is there anybody who is getting reasonable good results by using ANNs? Maybe I'm a romantic, but I still believe in ANNs XD. Once you've solved missing values (NaNs) problem ANNs should be able to get a good predcition...",0,None,17 ,Sun Jun 24 2012 07:55:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2072,/competitions/online-sales,355th
/shaun18136,Sharing,"I have created an infographic and wanted to share it on my website (ie, make it public). Is this allowed under the terms of the site and/or competition? Thanks Shaun",0,None,2 ,Sun Jun 24 2012 22:38:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2074,/competitions/pf2012-at,None
/freshview,Training Data,"Hi all, I wanted to ask for the train data format. Should it be a .csv file? When I open de tar file I find folders and files named by a bunch of numbers.",0,None,1 Comment,Mon Jun 25 2012 01:37:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2075,/competitions/emc-data-science,None
/byang1,Duplicate data ?,"If I understand the data page correctly, there're some duplicated data in the data files. Is testUsers.txt (this is really testUsers.json, isn't it ?) just a list of users with inTestSet=1 in trainUsers.json ? The ""likes"" data in trainUsers.json, trainPostsThin.json, and trainPosts.json are the same, but they're keyed by user ID in trainUsers.json, and by blog+post ID in trainPostsThin.json and trainPosts.json. Is this correct ?",0,None,1 Comment,Mon Jun 25 2012 09:25:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2078,/competitions/predict-wordpress-likes,None
/glider,Multiple Accounts,"A brief reminder, when you registered for the competition, you accepted Kaggle's terms and conditions, including: you cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts; Using multiple accounts in grounds for removal from the competition.",3,bronze,3 ,Mon Jun 25 2012 18:32:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2079,/competitions/FacebookRecruiting,None
/benhamner,Welcome,"After the success of the [Link]:https://www.kaggle.com/c/asap-aes, we're very excited to launch Automated Student Assessment Prizes' next phase - the Short Answer Scoring contest. For this phase, we have 10 sets of short answers on topics ranging from biology to literature. Sample code to create the benchmarks is available at this [Link]:https://github.com/benhamner/ASAP-SAS, and Python, R, and MATLAB/Octave implementations of the evaluation metrics are in [Link]:https://github.com/benhamner/Metrics. Good luck, and please let us know if you have any questions!",0,None,4 ,Mon Jun 25 2012 19:11:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2080,/competitions/asap-sas,None
/vikpar,Rules Clarification,"Thanks for starting this competition. It looks very interesting. I have a few questions/concerns about the rules that hopefully can be addressed: 1. In the ""Rules"" section of the information, it states that ""To receive an Award, preliminary competition Winner(s) may be required to publicly release their code under the BSD New license ( [Link]:http://www.opensource.org/licenses/BSD-3-Clause) by September 17, 2012."" In the ""submission instructions"" section, it states that ""The model submission is required to be eligible to win prize money, and you will be required to open source the code for your model in order to be eligible for prize money."" Which one is correct? We either will be required to open source, or ""may"" be required. Who controls the decision over whether we will need to open source or not? Is it definitely going to be under the BSD-3 license (which allows for commercial applications)? 2. In the ""rules"" section, it states ""Winning participants will be required to provide a complete written description of their analysis and methodology."" In the ""submission instructions"" section, it states ""In order to win the prize money, you will also be required to release a technical methods paper describing in detail the methods you used and the various factors that contribute to the performance of your system."" In the ""timeline"" section, it states ""Deadline for preliminary winners to open-source models and publish their methods papers."" Is the methods paper the same as the complete written description? Is this going to need to be publicly released? 3. In the ""timeline"" section, it states: Monday, September 17, 2012: Deadline for preliminary winners to open-source models and publish their methods papers Monday, September 24, 2012: Deadline for public to submit objections (regarding cheating through manually labeling the test set, etc.) on competition results. Sunday, September 30, 2012: Deadline to address any objects & review committee to pick the best paper. Monday, October 1, 2012: Winners announced This implies that the winner will be selected by a ""review committee"" and not by accuracy (kappa). This is strange; what criteria will be used to determine the winner? 4. The overall requirements are quite onerous, and the requirement for the technical methods paper is extremely extensive (http://www.kaggle.com/c/asap-sas/details/SubmissionInstructions -- at the bottom). Having to both completely open source the code and fully publish everything about the model (and any attempted models), only to be uncertain about your win until a review committee selects a winner, makes this contest less attractive, and very different from a typical Kaggle contest. 1 or 2 of those requirements would not be overly burdensome, but all three together seems a bit much, at least to me. Others can feel free to chime in if they seem fine to them. 5. Is there an option to only follow one or none of the open source/publishing requirements and still be a winner (perhaps without prize money)? Just publishing would be better to me than publishing and completely open sourcing. Open sourcing under a non-commercial license would also be a better option. 6. Why were these changes made? I can certainly understand where the Hewlett Foundation is coming from in terms of improving education (which perhaps they do not feel that the first competition accomplished), but it would be nice to hear their side of the story.",2,bronze,11 ,Mon Jun 25 2012 22:45:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2081,/competitions/asap-sas,1st
/densouleo,0.711 is the new 0,"Assume forward link for a node is a link going out of the node. And backward link is the link going into the node. Ie the forwards of A is the people A is following. And backwards of A is the people that follow A. Assume X is the node for which we want to find forward links for. The algorithm goes like this: The node X has 1,000,000 credits. It splits it to the number of connections(both forwards and backwards) it has and gives them to them. Each node that gets credit: 1. Keeps half of the credits for itself. 2. Divides the credits it received by the number of links and distributes them. Like X did, but with one difference. Backward links do not get to keep the credits. Only to redistribute them. Repeat 3 times. Q & As: a .Why keep only half the credits? For the backwards links we only want to connect to the links that have a higher degree of being connected back. When a node Y keeps half of the credits and redistributes the rest to its links, it will get credits back for its backward connections that have them in its forward connections. I.e. the more ""friends"" it has the more credits it will get back. b. Why backward connections don't get credits? Because we are interested in forward connections. Also like this we are trying to discover forward only links of node X that where lost. I.e. Lets say nodes A, B, C and D are being followed as a group by a lot of people. Now lets say X is one of them and it lost its connection to node D. Nodes A,B,C will get credits, which they will pass to their followers, which in turn they will pass to D. Hence D is discovered! The code below gives a score of 0.711. So its the new 0! To run it use the train file as a first argument and the test file as the second. Please strip any headers from those files. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2741/score71130.py",11,gold,45 ,Tue Jun 26 2012 03:01:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2082,/competitions/FacebookRecruiting,None
/xavierconort,Problem reading the files,"whilst opening train.tsv in Excel (or reading it in R) using mac, I get two short answers (lines 3515 and 3516) without id, essay set, score1 and score2. Is it normal? the sentences are Pandas in China are similar to koalas in Australia by the way they both can eat only one thing. Panda eat bamboo while koalas eats eucalyptus this makes them diffrent from the pythons because pythons need a warm climate and smaller animals to live. Pandas in China are similar to Koalas in Australia because they both don't eat other animals, they're like veggeterians. In the article, it says, China's panda, which eats almost nothing but bamboo, or Australia's Koala bear, which eats eucalyptus leaves almost exclusively."""" They both eat things that are grown from nature."" Thanks",0,None,4 ,Tue Jun 26 2012 13:56:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2083,/competitions/asap-sas,4th
/cartersibley,Can a test period 'like' be on a train period post?,"First comepetition, and I haven't fully diven into the data yet, but wanted to see if I could clarify this: If Post A is liked by User 1 in the training data set time frame, and then Post A is liked by User 2 during the test data set time frame, where will Post A show up in the ""Posts"" datasets? Will Post A be in the TrainPosts data set, with the like from User 2 censored? If so, will the like from User 2 be in the TestPost likes used for evaluation? Will Post A be in the TestPosts data set, with the like from User 2 censored? If so, where will the like from User 1 on Post A appear, if anywhere? Thanks for any help!",0,None,5 ,Tue Jun 26 2012 16:03:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2084,/competitions/predict-wordpress-likes,1st
/balazsgodeny,Description of phase1 winning methods,"Are the technical reports of phase1 top performer teams available to read? If yes, could someone give a pointer? Thanks.",0,None,1 Comment,Tue Jun 26 2012 16:37:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2085,/competitions/asap-sas,None
/dirknbr,Language,... of the blog or post would be a really good predictor. This could be proxied by IP addresses or domain names? Or you could have the predicted language of a simple NLP engine. Dirk,0,None,6 ,Tue Jun 26 2012 22:57:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2086,/competitions/predict-wordpress-likes,14th
/leustagos,MAP@10 evaluation code,Anybody have an efficient implementation of map@10 in R?,0,None,1 Comment,Wed Jun 27 2012 05:56:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2088,/competitions/FacebookRecruiting,70th
/balazsgodeny,Tasks in final test set,Do I understand correctly that the final test set (to be released only at the end of August) will contain essays from the same 10 tasks that we see now?,0,None,1 Comment,Wed Jun 27 2012 11:30:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2089,/competitions/asap-sas,None
/bobcastleman,Basic questions ...,"I'm new to machine learning, so please forgive any obviously newb questions. I was curious why there is so little separation between the random bench mark and the leader. Seems to me that 5 points isn't really all that much. And shouldn't random be much lower than that? I also wonder if the training set is too small. If you have a feature set of 374 variables and a training set of just over 1000, if you divide that into a training, cross validation and test set, then you are training your algortihm on 600 or so test cases. If you add polynomial features, it's very easy to double or triple the feature count and you end up with more features than training data. Doesn't this tend towards overfitting the data? Finally, after this is competition closes, will we have access to the actual data that scored our models? I would love to be able to work on it afterwards to see what I can do to improve my skills.",0,None,2 ,Wed Jun 27 2012 15:31:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2090,/competitions/twitter-personality-prediction,86th
/markwielgus,Alternative language to PHP? Other suggestion coming from php background?,"I'm a pretty competetent php programmer. For my first attempt at a competition I've been coding my models using php and mysql. It's very slow running. Certainly running my scripts in the browser can't be the fastest way. Firefox won't even use more than 50% of my memory usage in task manager, it stops at 50%. What would you recommend for a language if I already know php? Based on some exploring I'm leaning towards R or Python but I'm open to suggestions. Thanks.",0,None,3 ,Wed Jun 27 2012 20:12:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2091,None,None
/jjjjjj,Couple questions about contest rules,"1. Is methods paper required to be uploaded with models, or can it be submitted later in case of provisional winning entry? 2. Uploaded models only need to be able to label unseen observations? That is, an uploaded model can be a black box, such as a single .exe file. 3. Is the human scorer a single person for all examples? Is the human scorer a single person for all examples in a given essay set? 4. The rules state: You are free to use publicly available dictionaries and text corpora in this competition. If you would like to use any other external data source, verify that this is permissible by [Link]:http://www.kaggle.com/c/asap-sas/forums/t/1287/external-dataor [Link]:http://www.kaggle.com/contact first. Please clarify ""any other external data source"". Does that many other than dictionaries/corpora? Other than publicly available? Or other than publicly available dictionaries/corpora? Thanks JJJ",0,None,3 ,Wed Jun 27 2012 22:37:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2092,/competitions/asap-sas,7th
/mhop48288,Is this actual data from real patients?,"As far as the data is concerned for this contest, is this actual data from real patients? I ask because I see that in some patients, height fluctuates as much as 18 inches while weight fluctuates as much as 230 pounds in the same year, which makes analyzing data difficult. Much of the data (like this) does not make sense in its context, and I was wondering: Is this was real data or if this was just a possible sample of what data might look like?",0,None,1 Comment,Wed Jun 27 2012 22:44:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2093,/competitions/pf2012,None
/benhamner,External Data,"As the [Link]:http://www.kaggle.com/c/asap-sas/details/Rulesstate, [quote] You are free to use publicly available dictionaries and text corpora in this competition. If you would like to use any other external data source, verify that this is permissible by posting in the forums or sending a private message first. Please use this forum thread to check whether additional external data is permissible. Also, feel free to let other competitors know what text corpora or dictionaries you have found useful here!",1,None,21 ,Wed Jun 27 2012 23:37:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2094,/competitions/asap-sas,None
/chrisbrew,Description of Fisher transform averaging,"I think that the description of the Fisher transform averaging in the evaluation section is inherited from the previous ASAP competition. It talks about particular properties of Essay set 2, which was special in the first competition, but is not in this one. Presumably this is just an accidental carryover, and should be edited away. Is that right?",0,None,1 Comment,Thu Jun 28 2012 00:22:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2095,/competitions/asap-sas,5th
/joewan,The questions about the submission process,"Dear Sir, I have downloaded the file ""sample_predict.csv"" from [Link]:http://www.kaggle.com/c/GestureChallenge2/data I found that the file contains the predictions of videos of valid01-20 and final 21-40. But I can access the videos of valid01-20. And I am not available the videos of final21-40. So I have a question, how can I get the videos of final21-40? Because in the submission process system, it require 1880 rows(see [Link]:https://www.kaggle.com/c/GestureChallenge2/submissions/attach). Now I only can predict the videos of valid01-20 where I can obtain 940 rows. I cannot access for the rest 940 rows for final21-40.",0,None,3 ,Thu Jun 28 2012 10:44:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2097,/competitions/GestureChallenge2,2nd
/nott48153,External Code,"Dear all, the topic of using external data is fairly clear to me. But what is the status of using third-party code? What are the rules for using libraries etc.? Thanks and all the best, nOtt",0,None,1 Comment,Thu Jun 28 2012 16:22:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2099,/competitions/asap-sas,95th
/tony83,What approach did you use?,"Hi - Are there any restrictions to discussing the techniques, algorithms and features used now that the contest is over? Also, have the top 3 teams published their methods? Thanks -aed",0,None,2 ,Thu Jun 28 2012 19:04:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2100,/competitions/asap-aes,58th
/chrissumner,"Limitations, Issues, Gremlins etc","As the competition concludes, we very much like to understand. General issues you had, areas where we could improve in setting up future competitions. Limitations we should cite in our paper (lack of variable names and why that was problematic etc) Limitations of evaluation criteria. e.g. Average precision may be appropriate when considering the fit of the overall model, but I'm cautious that models aren't tuning too heavily to the mean value. I guess I'm asking, Can models have a good Average Precision yet fail to predict the top and bottom 10% effectively. I will be happy to acknowledge contributors to this thread in our paper. Many thanks to all who've taken part. We've learned a great deal and seek to learn more to improve future competitions. Cheers Chris",0,None,1 Comment,Thu Jun 28 2012 19:09:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2101,/competitions/twitter-psychopathy-prediction,None
/chrissumner,"Limitations, Issues, Gremlins etc","NOTE: This is also posted in the Psychopathy competition Forum. As the competition concludes, we very much like to understand. General issues you had, areas where we could improve in setting up future competitions. Limitations we should cite in our paper (lack of variable names and why that was problematic etc) Limitations of evaluation criteria. e.g. Average precision may be appropriate when considering the fit of the overall model, but I'm cautious that models aren't tuning too heavily to the mean value. I guess I'm asking, Can models have a good Average Precision yet fail to predict the top and bottom 10% effectively. I will be happy to acknowledge contributors to this thread in our paper. Many thanks to all who've taken part. We've learned a great deal and seek to learn more to improve future competitions. Cheers Chris",0,None,12 ,Thu Jun 28 2012 19:16:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2102,/competitions/twitter-personality-prediction,None
/blindape,Kudos,"I want to congratulate the new participants, a few hours after being new members in kaggle are already in the top 50. At this rate 0.40 threshold will be reached...",0,None,1 Comment,Thu Jun 28 2012 19:37:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2103,/competitions/hhp,3rd
/chrissumner,Review of previous research - seeking feedback,"Hello all, I've reviewed a number of papers covering social media personality prediction and the majority seem to have limitations which are not reflected in the paper itself or the news headlines that follow. Of course, I could be wrong, as I'm really a newcomer to data mining, hence working with experts, including yourselves. So, I'd like some feedback on 3 observations I've made. The first two are related to this paper by Golbeck et al [Link]:http://www.cs.umd.edu/~golbeck/pubs/Golbeck%20et%20al.%20-%202011%20-%20Predicting%20Personality%20from%20Twitter.pdf and the news headlines that followed it, such as this one [Link]:http://news.discovery.com/tech/facebook-personality-test-employers-110509.html What follows is my first observation. Both the paper and the news article assert that “It turns out you can get to within 10 percent of a person's personality score by looking at Facebook”. This appears problematic as it could be literally interpreted as meaning that for every user examined, the predicted personality score will be within 10 percent of their actual self-report personality score, in my amateur opinion, is likely to be incorrect. My concern is that I think evaluation methods such as Mean Absolute Error can mask potentially large (relatively speaking) errors at the extremes of a distribution by predicting the majority of instances around the mean value; a good bet when the sample follows a uni-modal distribution. In practical terms this means that the people who are likely to be of most interest (highest and lowest scorers), can easily be mislabeled, e.g. the model may predict a high scoring extrovert as a low scoring introvert without substantially impacting the overall Mean Absolute Error. So my first question, is. Is my observation valid? Now, Golbeck et al also use correlation coefficient. What follows is my observation on that: Their reported correlation coefficients indicate reasonable predictive performance overall, certainly performance worth investigating in future studies, however, it’s still doesn't seem possible to determine how well the models work in terms of identifying the top and bottom extremes. So my second question is... Is this a fair comment? Finaly RMSE. RMSE is used in some papers (e.g. [Link]:http://www.cl.cam.ac.uk/~dq209/publications/quercia11twitter.pdf ). To me, RMSE suffers from similar issues to those with Mean Average Precision and others. It may help show the overall performance of the model, but can mask large errors at the extremes. Further, and again, as a new-comer, it doesn't seem appropriate to compare the RMSE from one data set (e.g. Netflix) to another (Twitter personality). So my third question is... Are my observations on RMSE correct, including the validity of comparing different models. I'm asking these questions as I believe that the press headlines and existing papers may be over-egging the performance of their models (Note. I'm not suggest deliberate over-egging). That said, as a newcomer,it's likely that my concerns are unfounded, so I'd love to hear from you guys. I'd appreciate discussion on this, either in the thread or via email. Thank you Chris ps. No disrespect to either of the papers noted. Both papers have some very valuable information.",0,None,1 Comment,Fri Jun 29 2012 01:48:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2105,/competitions/twitter-psychopathy-prediction,None
/vgoklani,How do we build a validation set when the training set is unranked?,"Perhaps I've missed something, how are we supposed to build a validation set when the training isn't ranked? Moreover, what defines a ranking in this problem? I've never seen a social network where the friends/followers were ranked by the target user. How are we supposed to match the results of Facebook's blackbox classifier when we don't have numerical scores to train from.",0,None,1 Comment,Fri Jun 29 2012 05:21:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2107,/competitions/FacebookRecruiting,46th
/jakemarcus,Open Challenge on Practice Fusion's Research Site,"We'd like to see what people are working on and thinking about for the open challenge. To that end, Practice Fusion will be putting together a blog post for our research site ( [Link]:http://www.practicefusion.com/research/) that features competition entrants and some interim results. If you'd like to be featured, respond to this post here or e-mail research@practicefusion.com. Shaun's infographic ( [Link]:http://projects.ahmadian.net/kaggle-health-record-infographic/) is a great example. Hope to hear from you all!",0,None,2 ,Fri Jun 29 2012 17:33:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2110,/competitions/pf2012,None
/teamsmrt,Kappa scoring question,"The ScoreQuadraticWeightedKappa function in R doesn't seem to work too well with continuous responses. However, the scoring algorithim for submissions on the website handles continuous responses just fine. Does anyone know how to fix the ScoreQuadraticWeightedKappa function to handle continuous responses (or how the website does it)? I'd like to be able to assign continuous scores but it's hard to work up a model when you can't evaluate it offline. If I can't use kappa I'll just use another agreement measure (maybe RMSE) but I'd really like to use the same measure that the competition is scored with. P.S. Thanks for creating the Metrics package Ben. It's nice being able to concentrate on the important part of the model and not spend a whole bunch of time writing code to score it.",0,None,8 ,Sat Jun 30 2012 01:04:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2112,/competitions/asap-sas,58th
/chrisraimondi,Last minute hail mary pass,"My leaderboard score is from one simple non blended gbm model with no post processing (other than unlogging and cutting each month off at training values). I have one feature that I feel is useful and non obvious. On the off chance that someone here has a similar score and hasn't discovered this feature - I think teaming up could be useful. The feature involves a ""combination"" of two other features - and it does NOT involve adding/multiplying/dividing/subracting these two features. Nor does it involve one of the date fields. The feature is totally useless on most of the data - but on the part that it isn't - I think it is fairly powerful. If you have found a feature that is possible to calculate on 36~ 39 % (I know the exact number - just trying to be vague here) of the training data - you probably have found the feature I am talking about and would get little benefit from teaming up with me. Otherwise - if we are in a similar score range - and you have no clue what I am talking about - it may be worth teaming up. My score does involve other features other than the raw features, but most of those are pretty obvious - and none as powerful. I have no cross validation data to blend with - basically I haven't had much time to spend on this. I have the feature - my settings for my gbm model - my other features - and that is about it. If you are interested after reading the above.... chris[dot]raimondi[at]gmail[dot]com I don't have a bunch of time to spend on this - but if you don't have the feature - and have gotten your score a different way - I think we won't need much to add it to your model and improve both our scores. I can't guarantee you haven't captured some of the value of this feature with some of your derived features.",2,bronze,13 ,Sat Jun 30 2012 01:33:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2114,/competitions/online-sales,5th
/wschaap,Can we use the dataset specifics?,Are we supposed to make a general solution or can we target each one specifically using the data set descriptions? Thanks!,0,None,4 ,Sat Jun 30 2012 19:42:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2116,/competitions/asap-sas,None
/binghsu,Where is the bag_of_words_benchmark.py file?,"I see the benchmark showed it was created by bag_of_words_benchmark.py, but I can't find it anywhere. Is it a public file?",0,None,3 ,Sat Jun 30 2012 21:12:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2117,/competitions/asap-sas,30th
/sashikanthdareddy,Need clarification on TermFrequency data,"Hi, On the data page it says: "" [Link]:http://en.wikipedia.org/wiki/Tf*idf features were extracted from each of the source files."" I notice very large values in the data. Ex: max(train) gives 51052. Does this mean that there is a term which appears 51,052 times in a project? As per the link you've included, TF is defined as [no. of times a word, w appears in document, d] / [total no. of words in document d] and numbers do not match up with the values in the train data.",1,bronze,1 Comment,Sat Jun 30 2012 21:50:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2118,/competitions/emc-data-science,6th
/vielauge,Additional description,"Dear all, I stared some hours to the data and read the information again and again. It was hard for me to understand of what the competition is all about and what contains the data. Here comes some additional description in my own words and please correct me if I am wrong... The data is safed in an intelligent way but it is not necessary for the data miner to know the specification of the CSR format (sparse matrix). It is enough to run the EMC_IO and get test and training data. Goal of the competition: Classify all 43784 rows from the test data to 97 classes (open source projects 0-96). Details can be found in the submission samples and Evaluation. Data: Each row contains the Term frequencies of a project/source. (I guess terms are words like: run, dim, class and so on? what about special characters? Do we have any additional information about the terms? Or just all words?) There are 592158 different terms! Each column shows the frequency of a term (in most cases 0). The train_labels contain the 97 classes, the variable which has to be predicted for the test data and is known for the train data. I hope my additional description saves some hours of work out there. Best regards Vielauge",3,bronze,6 ,Sun Jul 01 2012 06:20:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2119,/competitions/emc-data-science,None
/teamsmrt,Add new member to team?,"I'm trying to figure out how to make a team with a new member ( [Link]:http://www.kaggle.com/users/48543/swolf), but it doesn't seem like I can do it after I've already made submissions. Can I do this myself or can an admin do it for me (pretty please)? Sorry for wasting everyone's time, but searching doesn't come up with any useful result other than asking to have them manually added.",0,None,1 Comment,Sun Jul 01 2012 20:14:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2120,/competitions/asap-sas,58th
/mayorspellingcitycom,Help Implementing Grammar Checker / Writing Evaluator,"HeHelp Implementing Grammar Checker / Writing Evaluator I run a small online education company that is eager to implement some level of automated writing evaluation to help with instruction and evaluation on a few of our educational services ( [Link]:http://vocabspellingcity.com/, Time4Writing.com, Time4Learning.com). Specifically, we would like to implement a technology to assess and provide specific feedback on the quality of student writing such as: - Grammar mechanics: proper construction of sentences (subject, verb, final punctuation) - Basic mechanics such as capitalization, subject-verb agreement (tense, plural, etc), consistency on plural and singular - Advanced mechanics such as prepositional phrases, sentences of appropriate length, nuances of word choice, avoiding awkward, ineffective, or unclear writing - Writing quality: vocabulary usage, organization, development We are looking for an individual or team to provide us with guidance and implementation, BTW, I've checked with the Kaggle team as to whether it is OK to post here with this request for contacts and I got approval. If you are interested, I'm mayor at spellingcity dot com.",0,None,1 Comment,Sun Jul 01 2012 21:03:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2121,/competitions/asap-sas,None
/del=adffc1075f272a08,Incomplete final line  in train_Labels.csv,"Hi, While running with EMC_ReadLabels(filePath) with EMC_IO.r where filePath = path to train_labels.csv, I get the following: Warning message: In read.table(file = file, header = header, sep = sep, quote = quote, : incomplete final line found by readTableHeader on 'C:/Kaggle/train_labels.csv'",0,None,1 Comment,Mon Jul 02 2012 07:40:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2122,/competitions/emc-data-science,None
/rkirana,Leaderboard vs. Final score variation,How much variation do you think the final leaderboard score will have? my leaderboard score is 0.62 but my cross-validated score is around 0.23! Wanted to check if anyone else is facing same issue,0,None,8 ,Tue Jul 03 2012 08:04:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2124,/competitions/online-sales,56th
/michalhagara,Submissions not working,"Hello, we have a problem with submission process. When we tried to submit our newest results, it didn't work. It showed error like this: EXCEPTION: Index was outside the bounds of the array. And the same error apeared when we submited our older results that already had worked a few days ago. Can you help us with this problem?",0,None,1 Comment,Tue Jul 03 2012 11:43:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2125,/competitions/GestureChallenge2,22nd
/xavierconort,Are the scores of essay set3 correct? ,"My algorithms do quite well with all essay sets except for set 3. I had a look at the data and I find challenging to explain the scores given to specific essays for essay set 3. Please can you confirm that you are sure that the scores assigned are correct and that nobody got mixed up? Exples: ""Pandas in China are similar to koalas because they both can adapt to the climate change in areas rather than a python"" got a score of 2 by the 2 raters !!!! ""Pandas in China and koalas in Australia are similar in that their food sources (bamboo and eucalyptus leaves respectively) exists only in certain areas of the world and so those animals exist only where those food sources are. They are specialists, and are favored by stability. They are different from a python in the the python can eat a variety of food sources around the world so it can exist in many different places."" got a score of 0 by the 2 raters!! Thanks!",1,bronze,21 ,Tue Jul 03 2012 13:45:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2126,/competitions/asap-sas,4th
/rakeshkumarrakshit,Map-reduce implementation for the solution given in Getting Started,"I am trying to write a map-reduce implementation for the solution given in Getting Started by songs popularity. Is it feasible to write the solution given in Getting started using map-reduce? Please help. Thanks in advance, Rakesh Kumar Rakshit",0,None,1 Comment,Tue Jul 03 2012 14:21:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2127,/competitions/msdchallenge,122nd
/waterhouse1,Data discrepancies?,"I have just downloaded the data and started to have a look, and am rather perplexed by the following features of the data. 1) Matching the ""Claims"" table with the ""DaysInHospital_Yx"" tables DaysInHospital_Y3.csv contains records for 71435 different MemberIDs. 21753 of these do not have any entries for Year=Y3 in Claims.csv. All 71435 have entries in Claims.csv for Year=Y2. DaysInHospital_Y2.csv contains records for 76038 different MemberIDs. 24072 of these do not have any entries for Year=Y2 in Claims.csv. All 76038 have entries in Claims.csv for Year=Y1. Example: Member ID 98324177 appears in DaysInHospital_Y2.csv. In the Claims.csv table, all entries for this Member ID are for Year=Y1. It would appear therefore that the DaysInHospital_Y3.csv file relates to Y2, and DaysInHospital_Y2.csv relates to Y1. What is going on? 2) Inconsistent opinions on days admitted to hospital In Claims.csv, for Year=Y2, there are entries for 71435 different members of whom 15106 have records where the LengthOfStay is shown as non-zero. However: * In DaysInHospital_Y2.csv, only 11769 members are shown as having >0 DaysInHospital * In DaysInHospital_Y3.csv, only 10729 members are shown as having >0 DaysInHospital There is therefore a discrepancy between the Claims and the DaysInHospital_Yx tables. What is going on here? Thanks.",0,None,1 Comment,Tue Jul 03 2012 19:35:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2129,/competitions/hhp,None
/heirloomseed,"Methods and Models, General vs. Specialized","Hi, A few questions: 1) How specialized can models/methods be for each dataset? Could one have a human expert examine a dataset prompt and recommend specific types of linguistic features to extract for the model builder for that prompt? Can the method of model building be intrinsically tied to the exact language of each prompt and supporting materials? Or, should the solution be a more general one that treats all dataset extra materials as general input to a single model builder? 2) Can a winning solution fall anywhere on the spectrum described in one? 3) If the answer to 2 is yes, shouldn't some additional consideration be given to the practical aspects of ease of use of a winning model, given the ""spirit"" of this competition, as I read it, is to advance practical methods and not brittle, narrow ones? Best, Heirloom Seed",0,None,7 ,Tue Jul 03 2012 20:22:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2130,/competitions/asap-sas,35th
/chaosdecoded,Good people I need advice,"I spent hours on this one. First trying to do it month by month (yes wtih month variable) With variable engineering, including features of advertised and being sold other products within given window of time around date_1, date_2 and given month itself (with the quantiles and means of multiple variables distribution) I tried imputing (rfImpute) and prediciting and ... nothing really impressive came out of all of these. At some point my bigest training file reached anything from 4 to 16mbs, and their generation took more than day or so. What went wrong ? These are my questions to good professionals here: 1) Is it ""ok"" and ""a good sign"" to have ideas based on so much data engineering that training files grow to 16mbs ? 2) Is it ""ok"" and ""a good sign"" to have models which analyses take more then couple of hours to days on EC2 clusters ? 3) What CPUs do you use ? do you use clusters (comercial ones) ? I used random Forest - both in rfImpute and train / predict modes. For next contests I am tempted to actually start ignoring any idea of complexity of more then n squared ? is this reasonable ? For next challenges I am tempted from now on to actually start ignoring any ideas that take more then 2 hours to see their results ? How you professionals do it ? Please share ? Thanks Luke",0,None,2 ,Tue Jul 03 2012 23:32:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2131,/competitions/online-sales,343rd
/cprod1,Baseline algorithm coming,"FYI, we plan to release a baseline algorithm this week. The algorithm will basically extract every product term found in the disambiguated product mentions training set and apply to inject every matching term into the learderboard text items. This approach will certainly not find any of the products mention in the test that were not mentioned in the training set. It will also not find mentions for products that use different phrasing/spelling.",0,None,1 Comment,Tue Jul 03 2012 23:42:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2133,/competitions/cprod1,9th
/emanuele,The code of my best submission,"Here you can find the code of my best submission (21st): [Link]:https://github.com/emanuele/kaggle_ops It is a simple blending of Gradient Boosting. The initial dataset was created adding binary vectos to represent categorical variables and the ""Dates"" as (categorical and scalar) year, month, day. The code is based on the excellent scikit-learn Python library. I'm publishing my code to invite other participants to do the same. Please use this thread to publish your code and to discuss published code. ... and of course, congratulations to the winners!",14,gold,1 Comment,Wed Jul 04 2012 10:27:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2136,/competitions/online-sales,21st
/thunder,Can we submit after the competition? ,"If so, is it still constrained to 2 submissions per day? If not, can we get the ground-truth data? Thanks you all.",1,bronze,1 Comment,Wed Jul 04 2012 16:47:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2138,/competitions/FacebookRecruiting,96th
/shaynemiel,Problem opening Training Materials for Essay Set 10,"There appears to be something wrong with the training materials for essay set 10 (in Training_Materials.zip). When I try to open it, I get an error and none of the sample papers appear. Can you rescan and upload a fixed copy? Thanks.",0,None,7 ,Wed Jul 04 2012 17:08:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2139,/competitions/asap-sas,None
/sphxphx,test dataset,Will the complete test dataset (with outcomes) be released ? thanks,0,None,1 Comment,Fri Jul 06 2012 04:55:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2140,/competitions/online-sales,176th
/balazsgodeny,MATLAB only?,"Hello, Could you help me interpreting rule #3? Every component of a contestant’s Prediction Algorithm must not require the acquisition of a fee-based license for commercial use. Exceptions to this rule are possible based on our review and approval of your request. MATLAB code is permissible. You do not need to obtain our permission for use of any component available pursuant to an OSI-approved license listed at http://www.opensource.org/licenses/alphabetical. Does it mean that for this contest only MATLAB solutions are accepted? Or that MATLAB is accepted among other languages? If the latter then why is this a special case? Thanks.",0,None,6 ,Fri Jul 06 2012 16:29:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2141,/competitions/cprod1,4th
/michael32,data.gov Requirement,"Can someone confirm that submissions must utilize data listed on the data.gov site? Is it possible to use data from some other site instead, or even no additional data source at all? Just want to be sure I understand this rule.",0,None,3 ,Fri Jul 06 2012 23:22:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2143,/competitions/pf2012-at,None
/zacstewart,Reading enormous JSON files,"Does anyone have any tips for working with JSON files of this size? Are you doing some homebrew trickery to delimit them before reading? I can't imagine that it's possible to load the training-anotated-text.json file into memory, yet, because of the structure of JSON files, you can't deal with it in a stream like you can a large CSV. I've tried loading just the products file with rjson and ~10 minutes later and to RAM left, I'm still waiting.",0,None,8 ,Sat Jul 07 2012 02:20:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2144,/competitions/cprod1,None
/davec6371,Submission versus Holdout scores,"Hi all. When I train my models and then measure the training set scores, I get values like 0.430. When I then test the same model against a holdout set of data that wasn't involved in the training, I get scores like 0.449. However, when I submit to heritage a set of year 4 estimates, the resulting scores are about 0.466. In other words, about 0.017 worse than I hope for. Why is this? It can't be that I'm drastically overtraining my models, since the holdout set performs satisfactorily. It seems to me that the year 4 DIH data must therefore be very different that the previous years' data. What are your experiences? What differences do you generally see between your internal scoring and when you submit to the website? How are you decreasing this difference? (I haven't found that correcting for the difference in 'mean' values helps) Cheers, Dave",0,None,4 ,Sat Jul 07 2012 10:52:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2145,/competitions/hhp,313th
/markwielgus,Unclickable Numbered Entries On Leaderboard,"Why are some of the leaderboard entries numbers only and they are unclickable on the leaderboard? For instance currently #2 and ""in the money"" is the unclickable entry ""43833"". No biggie, just curious, why are some of the leaderboard entrants unclickable and numbers only?",0,None,16 ,Sat Jul 07 2012 13:33:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2146,/competitions/asap-sas,None
/abyalex,Submission Format,"We submitted one entry yesterday with first column as ID and second as the predicted score, we are trying to submit another entry today with exacly same format....however it is expecting the predictions to be in 4th column....! Did some thing change?",1,bronze,3 ,Sun Jul 08 2012 04:45:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2147,/competitions/asap-sas,93rd
/bobcastleman,Seriously?,"Sorry if I seem a little incedulous. If I understand the task, I am supposed to provide a playlist of 500 songs per user for the 110000 test set using the training set of 1 million user histories. But some simple profiling of the training set makes me wonder if the expectation is unrealistic. Basically, 99.8% of users have never even listened to 500 songs in their entire history. 99% of users have listen to < 285 unique songs and ~89% have listened to 100 different songs or less. With a mean of 47, a standard deviation of ~57 and a median of ~4400, it seems like we are being asked to develop a profile for a demographic that doesn't exist. I understand the motivation here. But it seems the wrong question is being asked. It seems to me that predicting anything beyond a few dozen songs as likely to be listened to is little better than random guessing. Instead of spending resources developing individualized 500 song recommendation lists, you could indivudualize perhaps the top 10 or 20 from a ML algorithm, and present generic song lists based on genre, age, etc. You would have a better recommender with a lot less effort. This seems to me to be a rather important question. If I were to take on a task for ML as a consultant, one of the first questions would be ""Is the goal reasonable?"" The next question would be ""Is ML a good fit to achieve that goal?"". And finally, can the goal best be acheived through a combination of ML and other techniques. I have to believe the best solution to a song recommender would be such a hybrid solution. What is presented to the user on the website in the way of visual elements? People buy with their eyes. The exact same song coupled with goth artwork would elicit a different reaction than when presented with folk art. The end user may never click through simply because they thing the artwork sucks. Given the amount of music that crosses genres, presenting the same song with different artwork is not an unreasonable tactic. Anyway. Just some thoughts as I dig through the pile of data. I haven't submitted anything yet. I may or may not depending if I come up with something clever.",0,None,2 ,Sun Jul 08 2012 18:40:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2148,/competitions/msdchallenge,None
/sashikanthdareddy,Is anyone noticing difference betwen validation and leaderboard error,"Hi, I've split the training dataset into 75% for training and 25% for validation. Before I make a submission I check my model on the validation set to get an idea of what my leaderboard result would be. I'm noticing a huge difference between logloss on validaton set of 535.34 and my leaderboard error which was ~0.92. I'm using the following function to calc logloss: #log-loss function LogLoss <- function(actual, predicted, eps=1e-15) { predicted <- pmin(pmax(predicted, eps), 1-eps) -1/length(actual)*(sum(actual*log(predicted)+(1-actual)*log(1-predicted))) } Originally posted by Alec Stephenson @ http://www.kaggle.com/c/bioresponse/forums/t/1576/r-code-for-logloss/9504",0,None,12 ,Sun Jul 08 2012 19:19:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2149,/competitions/emc-data-science,6th
/fengkai,first through third tokens,"Excuse me. Is the sentence "" the first through third tokens in textitem 0c1edc5b2ed5abb25e25b966ccdb01d2"" means that ""the first , sencond ,third word in the textitem 0c1edc5b2ed5abb25e25b966ccdb01d2 ""?",0,None,1 Comment,Mon Jul 09 2012 13:56:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2150,/competitions/cprod1,None
/konradb,General contest questions - summary,"Hello, After reading through the description + data tabs several times, I am still a bit fuzzy on the details, and I'd really appreciate feedback (from fellow contenders / contest admins): are all products from training-annotated-text.json available (= present as entries) in the products.json dictionary? the format of the annotated and non-annotated files seems identical = where is the human input rg, K",0,None,9 ,Mon Jul 09 2012 18:44:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2152,/competitions/cprod1,None
/joycenv,Sample Perl script available,The CPROD1 Team has provided some sample code written in Perl that creates a baseline submission for leaderboard-text.json. It can be downloaded from the [Link]:https://www.kaggle.com/c/cprod1/data page.,1,bronze,4 ,Mon Jul 09 2012 19:42:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2153,/competitions/cprod1,None
/rkirana,comp admin - how to withdraw?,I entered into competition to download data files - but did not get chance to make a submission. How to go inactive in the competition - that is withdraw from it so as to not show up as 'non-placing' in kaggle ranking for this competition,1,None,1 Comment,Mon Jul 09 2012 21:40:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2154,/competitions/FacebookRecruiting,None
/joycenv,Help us look for data leaks,"The official launch of the Practice Fusion Diabetes Classification Competition is just on the horizon. And we've come a long way! We started with an initial data release of 10,000 de-identified electronic health records. After a brief foray into [Link]:https://www.kaggle.com/c/pf2012 where Shea Parkes’ top voted submission was selected as the [Link]:http://blog.kaggle.com/2012/07/03/winning-prospect-idea-identify-diabetics/, the Kaggle team has been busy prepping the data for the competition. Before we start, we invite you to [Link]:https://www.kaggle.com/c/pf2012-diabetes/data for any data leakage problems we may have missed. This will help make the competition stronger and more fun for everyone. We’re hoping to launch on Wednesday, July 11.",1,None,29 ,Tue Jul 10 2012 04:51:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2155,/competitions/pf2012-diabetes,None
/rkirana,Usage of dataset descriptions allowed?,"Question: can we include the information given in the data set descriptions files to build our model? When I submit the final model, if these are in a directory on my machine, how do I communicate to you? Is communicating via comments ok - that you have to keep it in a similar directory as mine?",0,None,5 ,Tue Jul 10 2012 11:04:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2157,/competitions/asap-sas,24th
/rkirana,final test data set,The final test dataset will be released on Aug 29th. My questions: a) Can we change our model after Aug 29th b) Will the test dataset contain a similar number of essaySets as given for training - i.e. 10 c) will the topics of the essaySets (like currently 1-4 are for science) be the same for test also? d) Basically I would like to know if the test dataset is the responses for the same 10 essaysets that have been provided now but from different students OR if it is a new essaySet altogether Thanks,0,None,6 ,Tue Jul 10 2012 11:06:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2158,/competitions/asap-sas,24th
/fengkai, the leaderboard-text.json file ,"Excuse me !,the interpretation of the leaderboard-text.json is ""This .json file contains the text items that contestants must disambiguate to determine their leaderboard score. "" . But the content of the leaderboard-test.json is also text-items, so what the distinction of the leaderboard-text.json and the training-non-annotated-text.json",0,None,1 Comment,Tue Jul 10 2012 12:49:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2159,/competitions/cprod1,None
/binghsu,Strange Submit Result,"I have trained a model, which perform quite well on the training set. To the first teacher: precision：0.96972162492------------------------------------------------------------quadratic_weighted_kappa：0.975375311273 To the second teacher: precision：0.850642180508 ------------------------------------------------------------ quadratic_weighted_kappa：0.892188566376 But what I submited , got a score of -0.00071! I am confused of the reason. Anyone who can tell me where may I be wrong or other problem?",0,None,6 ,Tue Jul 10 2012 17:51:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2160,/competitions/asap-sas,30th
/bradybenware,Curious minds want to know...,"I was far from the best, but in case you are interested in what I did to get an 8th place finish attached is my approach. Interesting fact - Runtime was about 5 hrs on an Amazon EC2 m2.4xlarge machine (8 cpu, 64GB). Total cost for a submission: $0.70 on a spot instance. Of course, then there were all the experiments $$ I would love to hear from others! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2954/Predicting missing connections in a directed graph.pdf",16,gold,30 ,Wed Jul 11 2012 02:45:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2162,/competitions/FacebookRecruiting,8th
/allenbj,What is the evaluation-text.json like?,Could you show us a part or an example of evaluation-text.json? Thanks.,0,None,2 ,Wed Jul 11 2012 04:33:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2163,/competitions/cprod1,None
/dchudz,public leaderboard should be 100%,"Hi all, As described in the competition rules, description, and timeline, the private leaderboard dataset is not released yet. Unfortunately, I followed the default for more typical competitions and divided the current test dataset into ""private"" and ""public"" (as you as see on the leaderboard). Really, 100% of the current test data should be for the public leaderboard. I'll be making that change soon. -David",0,None,1 Comment,Wed Jul 11 2012 21:30:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2166,/competitions/predict-wordpress-likes,15th
/dominiqueemmanuel,Selection bias of the public leaderboard data set sampling or unexpected human benchmark calculation ,"If I sample the train data set (of 17 207 lines) in order to get 5 732 distinct lines (like the leader bord data set) and if I repeat this operation 1 000 times and if I calculate the Quadratic Weighed Kappa, I get this distribution: If I look at the Quadratic Weighed Kappa of the human benchmark I see 0.89634: this value is very improbable (beacause of the previous distribution), unless: Either the human benchmark is not calculated from Score1 and Score2 (if this is the case, I wonder why). Either the variable (Score1, Score2) have not the same distribution in the train dataset and in the public leaderboard data set (if this is the case, I think it is unfair). Is my argument correct or did I make a mistake? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2958/QWK distribution.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/2962/QWK distribution.png",0,None,4 ,Thu Jul 12 2012 00:04:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2167,/competitions/asap-sas,140th
/glider,Weekend Hackathon,Data Science London is hosting another hackathon the weekend of July 21st. We will be updating the details of the competition page as we get closer to the event. This is currently just a placeholder to let you know the when the event will go live.,2,bronze,11 ,Fri Jul 13 2012 06:48:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2172,/competitions/MusicHackathon,None
/tp148076,Also predict presentation,"Even though we predict that a user will ""like"" a given blog post, it is not even sure the user will be presented to the post at all. So we also need to predict if the user is presented to the post. Is this correct? Tommy",0,None,3 ,Fri Jul 13 2012 12:27:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2174,/competitions/predict-wordpress-likes,None
/dslate,When does contest start?,"The Prediction Challenge was supposed to start on July 9, but so far I have seen no evidence that the contest is underway. Has there been some delay?",0,None,1 Comment,Sat Jul 14 2012 02:45:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2176,/competitions/pf2012,None
/anil450039,Confusion on project title,hello all. This is the first time im participating in these kind of competition. Can anyone just explain what we exactly have to do in this as i am unable to understand the project description. And also what we have to do or how to analyze the sample data given?,0,None,2 ,Sat Jul 14 2012 07:21:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2177,/competitions/cprod1,None
/rkirana,Question to Ben Hamner on benchmark submission,"Hi Ben, on the benchmark submission, I assume this is what it is doing in Python: a) Create a Term-Document matrix for the train data. Use the same space for test (create Term document matrix) with the same terms as in train b) Doing a SVD to retain top 500 singular vectors c) Running a regression random forest and then rounding the score. d) doing above separately by essayset Your benchmark python code returns 0.6. However when we try the same in R, it gives a much lower score. Am I understanding what the python code is doing correctly OR am I making some mistake? Thanks",0,None,4 ,Sat Jul 14 2012 22:52:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2179,/competitions/asap-sas,24th
/yablokoff,Predictions in 2nd column?,"Simple question about data presentation in final .csv file, maybe I missed something in description because just joined. It says ""Predictions should be in 2nd column"" so for every user It should be only 1 predicted post? Or row can contain many post predictions (like in Favorite Blogs Submission)? If so how many predictions is the max? Thanks in advance!",0,None,2 ,Sun Jul 15 2012 12:04:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2180,/competitions/predict-wordpress-likes,58th
/leustagos,Looking for team mates,"Hi all, Im looking for team mates for this competition. Any candidates? I don have much of a model right now, but i will tune the one i sent and hopefully get a better score... My e-mail is lucas.eustaquio@gmail.com",0,None,1 Comment,Mon Jul 16 2012 03:56:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2181,/competitions/asap-sas,13th
/amuletanalytics,Predicted values,"Question about predicted values; In the DaysInHospital_Y2 and _Y3 training data files, the DaysInHospital field values (predicted fields) are all discrete values like 0, 1, 2, 3, ... but in the SampleEntry file which is supposed to be the model of what we need to submit, the DaysInHospital field has real-valued numbers, e.g. 0.203322991. So how does the predictor algormith yield real-valued numbers if our training data is all discrete?",0,None,3 ,Mon Jul 16 2012 04:35:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2182,/competitions/hhp,1203rd
/blindape,Orderby field,What about orderby field in diagnostic transcript? Why this info is missing now?,0,None,1 Comment,Mon Jul 16 2012 21:00:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2183,/competitions/pf2012-diabetes,1st
/benhamner,Data Update,"Hi all, We've released an updated version of the data that accounts for all known issues, especially those highlighed in [Link]:https://www.kaggle.com/c/asap-sas/forums/t/2126/are-the-scores-of-essay-set3-correct. These are the rel_2 releases that have just been posted to the data page. Updated benchmarks have been created and posted as well. In the process of matching set 3 scores to the proper essays, we noticed that some of the essays in sets 3 and 4 had been duplicated in the form they were originally provided to us. We have corrected for issue as well, by deleting any duplicated essays and making sure that they were in the most public set in this release (for example, any duplicated essay that appeared in the training set remained in the training set, with any corresponding duplicates in the public or private leaderboard sets deleted). The duplicated essays were not a random sample, so some additional essays have been removed from the public and private leaderboard sets such that the distribution in scores would approximate the original source distribution. The score distributions were not corrected in the training data for essay sets 3 and 4, since more complete versions of this data were already public. This means that old submission files are no longer scoreable. Instead of rescoring the entire leaderboard (which would empty it), I am leaving the current scores up there. As people train their models and make predictions with the updated set, their leaderboard scores should increase (now that everyone will be scoring higher on set 3). Another issue that has been pointed out to us is that about a dozen essays from a couple sets appear to have been truncated. This reflects the original form the data was provided to us in, and we're not modifying the source data to attempt to adjust for it. Fortunately, this affects a very small number of cases, and this will be one of the limiations discusses in the post-competition analysis. We are also aware that essay set 10 contains some words where the first letter is separated from the remainder of the word by a space. Again, this reflects the source format of the data, and we are not able to determine the root cause. Instead of attempting to correct the issue with approximate methods, we have decided to leave the data in the original form and leave you with more flexibility in working around the issue. Thanks for being patience in this matter. We hope that this is the last correction to the data we need to make, and good luck on the rest of the contest! Ben",3,bronze,4 ,Tue Jul 17 2012 05:25:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2185,/competitions/asap-sas,None
/omarwugui,A more interesting problem...,"The facebook graph has 45558 unconnected components. The largest component, call it S0, has 9,249,905 edges among 1,739,520 vertices, of which 382,843 are articulation points. Of these there are 75,682 where the removal of a single edge will disconnect the graph. Therefore: randomly removing an edge from S0 will create an unconnected component with probability approx. 0.008 (I hope) Take S0 and remove some number of its edges, producing a new graph S1 with a number of new unconnected components Challenge: find the articulation points of the original graph S0 in the new graph S1. Unforunately I can't offer a reward, but if we pool our resources and there's enough interest perhaps it can be arranged for a case of Miller Tall Boys to be sent to the person we all agree has the best algorithm?",0,None,1 Comment,Tue Jul 17 2012 21:45:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2187,/competitions/FacebookRecruiting,None
/mercator,Missing DSFS data,There are a number of patients whose first claim/lab/drugs have a missing DSFS value. Are those values truly missing or represent 0 days since the first claim?,0,None,2 ,Tue Jul 17 2012 22:16:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2188,/competitions/hhp,537th
/rajstennajbarrabas,Can the results be released now?,It's been 4 weeks since the competition ended. Any idea when the complete dataset will be released?,0,None,3 ,Wed Jul 18 2012 05:17:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2192,/competitions/bioresponse,641st
/jj350277,What do people here do for a living?,Has anybody wondered what people here do for a living? Not everybody is a cs/math/stats phd right? JJ,0,None,9 ,Wed Jul 18 2012 19:49:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2193,None,None
/jj350277,Evaluation Criteria Question,"Dear Admin, The evaluation tab states that the evaluation criteria is ""Quadratic Weighted Kappa"". However, the formula to calculate MEAN Quadratic Weighted Kappa is also on the same page. So I'd like to confirm that that's there for information purposes only, and the evaluation criteria is really ""Quadratic Weighted Kappa"" and not ""MEAN Quadratic Weighted Kappa"" correct? Thanks in advance! Cheers. JJ",0,None,5 ,Wed Jul 18 2012 20:37:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2194,/competitions/asap-sas,None
/willieliao,What I learned and did,"Forum postings in other competitions have helped me a lot so I thought I'd share what I learned and did in this competition. I learned that luck plays a big role in determining the competition winner. In cleaning my code for submission, I ran through everything again. While it beat my best model on the public leaderboard, it would not have been good enough to win on the private leaderboard. Another important thing I learned is to always check the submission file. I wasted two submissions from badly formatted data frames and another two from transferring the model weights incorrectly from my cross validation code to the final submission code. Luckily, I caught the latter mistake a day before the competition ended and the resubmitted model won the competition. Since the data set is so small, I combined the training and test data sets and used Excel and conditional formatting for data exploration. It's similar to what Jeremy Howard did (http://media.kaggle.com/MelbURN.html) Two patterns pop out. Blocks of zeros tend to occur together for the Fvar variables with highly correlated non-zero values. I replaced those columns with averages (Fvar29-33, Fvar38-46, Fvar53-55, Fvar64-65, Fvar75-78). I also deleted columns with no variation (Avar9, Fvar23-28). The second pattern relates to missing values. Some observations have no features and some observations had no Fvar or Lvar values. So I split the data set into three and imputed/modeled them separately. The motivation was to impute as little as possible to reduce overfitting to the data. kNN in the R imputation package was used. No other feature selection was performed since, in a way, feature selection was already done in creating these derived variables. All I did was “feature elimination” and throw away really bad ones. Faced with many unknown and likely un-important features, I concentrated on ensembles of weak learners and those that do feature space transformations. All tuning was done in R with repeated 2-fold cross validation. The first four models I fitted (random forests, gradient boosted machines, support vector machines, and multivariate adaptive regression splines) ended up in the final weighted average blend. None of the subsequent models improved the blend so were not used. I didn't try more sophisticated blending techniques. I'm curious as to what others did in feature selection. And any other good models besides the ones I mentioned? I'm especially curious about people that did well against both the public and private leaderboards. How did you avoid overfitting?",9,bronze,2 ,Wed Jul 18 2012 23:20:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2195,/competitions/twitter-personality-prediction,1st
/roseyland,Matlab,Is a model implemented in Matlab allowed for this competition?,0,None,10 ,Thu Jul 19 2012 01:03:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2196,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,None
/fundraising,Welcome! ,"Contestants- Welcome to our competition to help organizations raise funds to support their Missions. This competition is focused on direct mail fundraising, specifically prospecting for new donors. This is an incredibly important piece of the development programs for non-profit organizations and political candidates. Donors are introduced to the group, then later migrated up the ""giving ladder"" to larger gifts. We appreciate your interest in the compeition, and your help in solving this incredibly important problem. Thanks",0,None,6 ,Thu Jul 19 2012 01:07:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2197,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,None
/leustagos,Benchmark position on leaderboard,"Why the benchmark takes a position on the leaderboard? It isn't a big deal but bothers a little to see that our real positions are always shifited by one. Usually it isn't a problem because the benchmark is beatable, but this one i don't know...",1,bronze,3 ,Thu Jul 19 2012 05:18:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2198,/competitions/asap-sas,13th
/j1o1h1n,A first look at the data,"Training Data 292k x training-annotated-text.json (4M) 297 x training-disambiguated-product-mentions.csv (47K) 149m x training-non-annotated-text.json (2.0G) 141k x leaderboard-text.json (1.9M) Products 3m x consumer electronics products (300M) 12.3m x auto products (1.0G) Consumer Electronics (stemmed) 30,733,253 words in names 1,677,841 estimated unique (I might want a better stemming algorithm) Top 30 words item count -------------------- ------ p/n 585353 skin 543668 mfr 527595 modul 390362 unbuff 283294 batteri 269689 non-ecc 260249 memori 255756 sodimm 193014 laptop 186917 64 177013 1gb 168143 kit 164336 dell 158542 samsung 155457 2gb 150787 ecc 147288 dimm 139302 case 138236 hp 134609 ddr2 132237 3rd 125663 hard 118026 black 117481 parti 114640 n/a 112832 hp/compaq 109124 drive 106058 200-pin 105690 ddr3 101562 Auto 108,939,912 words in names 2,826,471 estimated unique Top 30 Words item count ------------------------------- ------- cover 1346992 ford 1334616 chevrolet 1131283 brake 1013254 gmc 876338 front 827320 car 776574 dodg 734596 kit 661859 rear 607019 engin 604358 seat 564701 toyota 538342 light 533036 honda 529685 bmw 485290 side 454089 2006 439368 2005 430221 2004 418152 2000 417773 covercraft 414609 set 411917 2002 408636 2007 402281 2003 397877 2001 388262 nissan 386604 wheel 375000 1999 364805 Thanks to my good friends cut, grep and python and my new friends snowball (1) and streamlib (2) (1) http://snowball.tartarus.org/index.php (2) http://highlyscalable.wordpress.com/2012/05/01/probabilistic-structures-web-analytics-data-mining/",2,bronze,2 ,Thu Jul 19 2012 15:41:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2199,/competitions/cprod1,12th
/benoitplante,1st prize,How is possible to beat the maximum possible score benchmark to win the 1st prize?,0,None,1 Comment,Thu Jul 19 2012 18:05:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2200,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,10th
/tsundokum,Form a team to participate in coming hackathon,Hey! Does anybody want to form a team for coming hackathon? [Link]:http://www.kaggle.com/c/MusicHackathon,0,None,2 ,Thu Jul 19 2012 21:18:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2201,/competitions/emc-data-science,14th
/benoitplante,Editor for huge files,"Hi, since the number of lines is very large in the provided files, it is not possible to open them in Excel. Usually I use Notepad++ as my text editor, but it can't open big files either. What editor do you use to open such big files (up to 6GB and millions of rows) ?",0,None,3 ,Thu Jul 19 2012 21:57:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2202,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,10th
/cuboid,difference between training and testing data,"Hi, being a new comer, and just getting started, what is the difference between training and test set of data? Do we ultimately submit our predictions based on testing data?",0,None,1 Comment,Fri Jul 20 2012 06:11:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2204,None,None
/benoitplante,loading training dataset in R,"Did someone managed to open the file ""kaggle_training_dataset_formatted2.txt"" in R? My computer has ""only"" 12GB of RAM and it is not able to load the file. It results in errors and complains that there is not sufficient memory...",0,None,2 ,Fri Jul 20 2012 06:45:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2205,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,10th
/dwaya50645,Data Scientist for Future Competitions,Hello I am looking to build a team of data scientist for future competitions. We have attractive compensation. If you are looking to broaden your consulting expertise please let me know.,0,None,2 ,Fri Jul 20 2012 06:57:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2206,None,None
/benhamner,Welcome,"Welcome to our second hackathon! We're very excited to launch this in collaboration with EMI, Data Science London, Greenplum, Strata, Ligthtspeed, and Adatis. We've just uploaded the training and test sets, along with a couple additional files. These are described on the [Link]:https://www.kaggle.com/c/MusicHackathon/data. Submissions will be enabled in 24 hours, and then the contest will run for the remaining 24 hours. Please let us know if you have any questions about the data, and good luck! Ben",1,None,10 ,Fri Jul 20 2012 14:15:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2207,/competitions/MusicHackathon,None
/benk4224,Time field in train/test datasets,"The time field is described as below: Time. The time the market research was completed. But this is a little unclear - is it the total time taken? The time taken on that question/song? Is it measured in minutes? Seconds? Looking at the numbers I'm guessing it's total time taken measured in minutes. There are lots of zero entries here, which nevertheless have answers. Where'd they come from, and why did they take zero time? Some more info on the survey methodology might help here.",0,None,4 ,Fri Jul 20 2012 15:38:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2209,/competitions/MusicHackathon,None
/benk4224,LIST_OWN and LIST_BACK varying formats,"Some of the responses for these variables take the form ""less than an hour"", ""1 hour"", ""7 hours"" etc, and other times it's represented by an interger eg 0, 1, 7. Am I right to assume that the above respective measures are equivalent, ie 0 = ""less than an hour"" etc?",0,None,2 ,Fri Jul 20 2012 18:03:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2212,/competitions/MusicHackathon,None
/blaar12745,Music Data Visualization-a-Thon,"Good day I am a first-timer, is the aim to visualize all the data given in the datasets, either interactive or as an image/video? Just some general information wold be nice. Regards",0,None,1 Comment,Fri Jul 20 2012 19:10:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2213,/competitions/MusicHackathon,117th
/sashikanthdareddy,Issues with words.csv,"1. How come there are two ""Good lyrics"" fields in the words.csv. The values in these two fields do not indicate they are duplicates. 2. There appears to be inconsistencies in the field/row terminators. Why does ""Soulful"" the last field in the header portion end with a "","" I got rid of the header and read the file fine into MS SQL.",1,bronze,9 ,Fri Jul 20 2012 20:33:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2214,/competitions/MusicHackathon,20th
/blindape,Missing values of VisitYear in Transcripts,"In the data dictionary pdf the field VisitYear of Transcrip file is declared NOT NULL, but in the file there are a lot of ""0"" values. Are these missing in 2009-2012 range or could be before 2009 data?",0,None,1 Comment,Fri Jul 20 2012 20:57:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2215,/competitions/pf2012-diabetes,1st
/kirtu39724,Submission format?,There is no description of the submission format? What exactly may be submitted (a program)?,0,None,1 Comment,Fri Jul 20 2012 21:33:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2216,/competitions/MusicHackathon,None
/rkirana,evaluation metric: is it RMSE?,"Hi, Assume the evaluation metric is RMSE? or is it going to be weighted precision? INterested! Thanks",0,None,4 ,Fri Jul 20 2012 23:23:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2217,/competitions/MusicHackathon,24th
/erdman,how is the evaluation score aggregated across groups?,"I think I understand how the ""Average of Top 75%"" score works ... you drop my lowest scored 25% in each group, then average donation^1.14 across the highest scored 75% in each group. But there are 134 distinct groups in the test set, with group sizes ranging from 280,480 rows all the way down to just 158 rows. How is the Average of Top 75% for each group aggregated across the 134 groups to calculate the evaluation score?",0,None,1 Comment,Sat Jul 21 2012 00:39:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2218,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,2nd
/chenyw,some users in train/test are not exist in users.csv,"I found some users in train or test files are not exist in ""users.csv"" , for example, userid = 25456 does not have any profile information in users.csv Is this illegal? or just means that this user did not take the interview?",0,None,2 ,Sat Jul 21 2012 05:07:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2221,/competitions/MusicHackathon,1st
/broham,Is anyone out there using .NET/SQL Server?,"First off, a little about me: Zero data science experience Done lots of programming with .NET and SQL Server I just came across kaggle and I've been anxious to throw my hat in the ring on some of the competitions. When I was reading through the wiki article about [Link]:http://www.kaggle.com/wiki/Software, I noticed that .NET/SQL Server weren't even on the graph. Can these types of problems be solved using .NET and SQL Server or do other laguanges (like R) offer so much more that my time would be better spent learning them than trying to figure out how to use .NET to solve these problems?",0,None,13 ,Sat Jul 21 2012 07:23:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2222,None,None
/lenwood,How to Get/Work with Data,"Hi All, I'm new to Kaggle & data science. I'm eager to learn how to contribute. I've been trying to download the dataset for one of the competitions, but so far it has timed out every time. I've also read instances here in the forums of people running out of memory when working with these files, which leads to a couple of questions. Getting Data: I have a broadband connection, but its still taking more than an hour for these files to download. If it times out I'm done. Are they available through a torrent, or is there a better way to grab them? Working with Data: I've also seen a number of instances in the forums of people mentioning Amazon's EC2 for data analysis. My initial intention was to do this from my MacBook Pro, I'm guessing this was woefully optimistic. Are there any tips or resources on this? Thanks in advance. I've had a growing interest in data analysis for the past couple of years, and am glad to finally be taking steps to learn more.",0,None,3 ,Sat Jul 21 2012 09:00:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2223,None,None
/rkirana,start submissions,ready for my first submission to this contest. Is there a limit on the # of submissions per person? I would recommend keeping atleast 7 submissions allowed,0,None,10 ,Sat Jul 21 2012 14:13:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2224,/competitions/MusicHackathon,24th
/tomb50805,sample.r and userMeans.r,"Are these going to be made avaliable, or are they already and I just can't find them?",0,None,1 Comment,Sat Jul 21 2012 14:17:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2225,/competitions/MusicHackathon,None
/del=f17ff6c1ff3d3e46,Users mean looks different ? ,"Hello, I calculated the users mean using train file. But they look different from the values in the users mean benchmark. Example: For user 3475 first line in the benchmark file : 49.6667 and for Train file : 37,75 Any idea ?",0,None,2 ,Sat Jul 21 2012 16:02:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2227,/competitions/MusicHackathon,63rd
/zenog15462,London vs. Remote vs. Nothing,"Some teams on the leaderboard are marked as ""London"", some as ""Remote"", some as nothing. Does this distinction make any sense?",0,None,1 Comment,Sat Jul 21 2012 17:16:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2228,/competitions/MusicHackathon,34th
/benhamner,Visualization Contest,"We have a visualization contest running along with the hackathon! https://www.kaggle.com/c/MusicHackathon/prospector Notice anything interesting in the data? Make a neat graph, animation, video, or other visualization? Submit it early! No need to perfect it first - you can edit it or make multiple submissions throughout the day.",0,None,4 ,Sat Jul 21 2012 17:31:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2229,/competitions/MusicHackathon,None
/ugrounds,RMSE = 30.67206,"Is the result we are getting whatever we put on the fourth column of the prediction csv, e.g. Mean, zero, lin prediction... Has anyone experienced this sort of problem before? We have thought about encoding problems but we are puzzled by the RMSE being insensitive to whatever we put in the fourth column!",0,None,2 ,Sat Jul 21 2012 17:46:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2230,/competitions/MusicHackathon,60th
/xmvlad,What is recomended/tested data format for submission?,"It seem's something going wrong, with default format with target in 4 column(maybe someon know how to do it right?). What is recomendation, just one columned file in the same order as test.csv?",0,None,3 ,Sat Jul 21 2012 19:52:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2232,/competitions/MusicHackathon,18th
/zacstewart,"users.csv ""MUSIC"" column values","How many distinct values are supposed to be here? When I uniq them, two look to tbe the same, only truncated. Are they the same and should I merge them? $ cut -d, -f6 data/users.csv | sort | uniq ""I like music but it does not feature heavily in my life"" ""Music has no particular interest for me"" ""Music is important to me but not necessarily more important than other hobbies or interests"" ""Music is important to me but not necessarily more important"" ""Music is no longer as important as it used to be to me"" ""Music means a lot to me and is a passion of mine""",0,None,4 ,Sat Jul 21 2012 21:31:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2235,/competitions/MusicHackathon,119th
/nhanitvn,Inconsistent number of fields in the words.csv,"According to the description of the words.csv file, we have total 87 fields. But when I examined it, I found this fact: $ awk -F, '{a[NF]++}END{for(i in a){print i "","" a[i]}}' words.csv 86,98617 87,19684 88,1 The header has 88 fields???? While there are 98617 rows with 86 fields and 19684 with 87 fields. Could you explain about this problem?",0,None,4 ,Sat Jul 21 2012 23:30:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2236,/competitions/MusicHackathon,56th
/gdalal,Transcriptguid value missing in training_labresult,"Hello, Am I missing something or data is not present for Transcriptguid in training_labresult? How can I link transripts with labtest/labresults? Thanks, Gaurav",0,None,3 ,Sun Jul 22 2012 06:07:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2238,/competitions/pf2012-diabetes,None
/chaosdecoded,Features for free,"I am sharing features until a team or a person (from top 15) invites me. I am not a huge coder... Will see how it will work: 1) Number of Tracks being released within a given time period (Time +/- 3, Tiem +/-1 so on), as if there is large number of tracks released the attention to a single track is less chaosdecoded@ Google mail dot com",0,None,23 ,Sun Jul 22 2012 10:20:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2241,/competitions/MusicHackathon,None
/xmvlad,Code/approach sharing,"First, thanks to organizers, it makes a lot of fun to work in such short time line, without need to invest much time in competition! Feature genearation(very simple): 1. Use (artist id, user id) from each train/test entry to get features from words.csv, and user id to get features from users.csv, then join it 2. Find for (artist_id, user_id) set of ratings in train.csv, and use it mean/max/min/median as feature for each train/test entry (removing rating of curent entry) Make same, but agregating by artist_id, and user_id separately. Model: apply r gbm (gradient boosted trees) with some parameter tunning by hand. Uploaded: main.py (feature genearation, alot of dumb/simple code), train_gbm.r (model building) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/3061/main.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/3062/train_gbm.r",19,gold,31 ,Sun Jul 22 2012 14:05:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2242,/competitions/MusicHackathon,18th
/sashikanthdareddy,What was your single model performance?,"Hi, I would like to know what performance did others acheive using a single model (Random Forest & GBM are treated as single models.) Mine was a Random Forest which achieved 14.33670(public) 14.40035(private). One of the simpler models I built was a linear regression which achieved 16.18316(public) 16.25761(private).",0,None,20 ,Sun Jul 22 2012 14:32:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2243,/competitions/MusicHackathon,20th
/chihchunchen,Post-competition data use for research,"Would it be ok to use the data for research purposes? If yes, how should it be cited?",0,None,11 ,Sun Jul 22 2012 14:43:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2244,/competitions/MusicHackathon,126th
/diamantidis,training set?,"I'm sorry to post this stupid tread, I have to solve this classification problem for university, but I can't find anywhere the training dataset... It's my fault or it had been deleted? Someone can please show me where I can find it? I tried to use the random sample submission joined with the test dataset to train my model but it's completly wrong. If someone can help me I'll be very thankful!",0,None,28 ,Sun Jul 22 2012 16:20:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2245,/competitions/twitter-personality-prediction,None
/dkincaid,Source for NDC codes,"Could someone clarify where the NDC codes in the Medication table come from? Following the published data dictionary PDF I went to http://www.fda.gov/drugs/informationondrugs/ucm142438.htm to see if there was some more info. I tried looking up a few NDC codes from the Medication table but they don't seem to be valid NDC codes according to that web site. Thanks, Dave",0,None,2 ,Mon Jul 23 2012 04:43:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2246,/competitions/pf2012-diabetes,123rd
/lijiefei,some date issues in the testPosts.json,"1. What's the difference between 'date_gmt' and 'date'? 2. Why the 'date' can be ""2012-04-31 12:00:58"" in testPosts.json. 31 days in April? Thank you so much.",0,None,2 ,Mon Jul 23 2012 13:57:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2247,/competitions/predict-wordpress-likes,57th
/anil450039,Doubt in the data of training-disambiguated-product-mentions.csv,"@ADMIN- please reply to this..what does these in the file training-disambiguated-product-mentions.csv mean:- 7b465aa355535d76323c0f89dfbec8b5:9-11,0 7b465aa355535d76323c0f89dfbec8b5:14-16,0 7b465aa355535d76323c0f89dfbec8b5:129-131,0 These three document id are same, so whay are they listed so many times with different line numbers.",0,None,1 Comment,Mon Jul 23 2012 21:30:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2249,/competitions/cprod1,None
/oloolo,Format of submissions ,"When we submit score data, shall we only keep the scores or as the text next to submission buttom said ""keep the prediction in column 3"" Looks like we only need to submit a single column of predicted values, am I correct?",0,None,1 Comment,Tue Jul 24 2012 02:17:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2250,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,14th
/ilhan24677,Competition Results,Can we see an example result of a compettion? Is there any such?,0,None,1 Comment,Wed Jul 25 2012 12:48:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2253,None,None
/herrahuu,Error in compData.db,"There is a small mistake in compData.sql script which causes problems with training_transcript and test_transcript tables. The problem is that field names in the script are different than rownames in the .csv file. Another problem is that field ""Height"" type isn't specified. Because of these errors (and using R with RSQLite library) transcript tables aren't loaded correctly to data frame. One easy way to fix this is just to change rownames in .csv files and add type (=real) to Height field. Edit: Still having some problems. With the code: transcript_data columns {SystolicBP, DiastolicBP, RespiratoryRate, Temperature} are strings and not numeric as they should.",1,bronze,5 ,Wed Jul 25 2012 19:03:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2254,/competitions/pf2012-diabetes,15th
/sajidzaidi,External Data,"I can't find anything in the rules about using external data, but I know this is a big deal in the HHP competition. Basically I want to use publically available aggregations of ICD9 codes, NDC codes, etc. Could an admin please address this. Thanks",0,None,1 Comment,Wed Jul 25 2012 21:58:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2255,/competitions/pf2012-diabetes,8th
/benhamner,Welcome,"This digit recognition problem and MNIST datasets are classics in machine learning, and we hope you use it as a good way to get started with Kaggle competitions and learning more about the domain. This is an initial foray into making Kaggle more friendly for newcomers and a better platform to learn on as well. As such, it is not fully featured from a product standpoint yet (for example, the competition will likely run indefinitely instead of actually ending a year from now, possibly with teams only staying on the leaderboard every two weeks or transitioning this to a player vs environment setup instead of a player vs player setup). Participating in this competition will have no impact on your user ranking. If you have any ideas on how we could improve this setup and help make Kaggle a better place to learn about data science and machine learning, please let us know. Thanks to one of our interns, Naftali, for putting this together!",4,bronze,19 ,Wed Jul 25 2012 22:44:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2256,/competitions/digit-recognizer,None
/transplanted,Weka code for competition,"Some Weka code that may be useful for dealing with this competition canbe found in the attached weka_code_for_asap_comp.jar, which includes both.class files and .java files. The code should work with recent versionsof Weka 3.7 (i.e., the development version). To use it, simply add the.jar file to the Java CLASSPATH.The code adds the following functionality:- Loader for competition datasets in tab separated format (suffix: tsv).- Two meta classifiers: 1. ClassifiersConditionalOnAttribute Applies chosen base classifier to subsets defined by 2nd attribute. Does not remove any attributes from the data. 2. OrdinalClassificationByRegression Applies chosen regression scheme; class attribute treated as numeric. Numeric predictions are rounded to the nearest integer in [0,3]. Does not remove any attributes from the data.- Two plugins for the ""Result list"" panel in the Explorer's ""Classify"" tab: 1. MeanQuadraticWeightedKappa Outputs the performance statistic used by this competition. 2. SaveSubmission Can be used to save classifications in format suitable for submission.Note that once the .tsv data has been loaded, the NominalToString and NumericToNominal filters in Weka can be used to change attribute types.Also, attributes (with missing values) can be added to make the leaderboarddata compatible with the training data by using the Add filter.Disclaimer: no guarantees are made that this code actually works as promised... [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/3082/weka_code_for_asap_comp.jar",3,bronze,7 ,Thu Jul 26 2012 05:05:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2258,/competitions/asap-sas,29th
/olexiy,train vs train_rel_2,"Hello, Data files contain two similar files -- named ""train"" and ""train_rel_2"". 90% of the data is the same, but there are some differences in ~10% of the entries. What are those files and which one should I use? The same question about public_leaderboard vs public_leaderboard_rel_2. Thanks Olexiy",0,None,1 Comment,Thu Jul 26 2012 08:02:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2259,/competitions/asap-sas,85th
/chaosdecoded,What if top submissions are up there due to features related to icd codes?:),... Therefore no one else will be able to beat it?,0,None,3 ,Thu Jul 26 2012 09:04:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2260,/competitions/pf2012-diabetes,53rd
/srowen,Slight discrepancy between trainUsers.json and trainPostsThin.json?,"Now, I may have made a typo somewhere here. But I see that about 95 user-post pairs exist in trainUsers.json but not trainPostsThin.json. I understood these to be the same data but keyed differently. For example, user 1002173 likes post 286817 in the former, but this association does not appear in the latter. If a real discrepancy, it's hardly large. I wonder if anyone had noted the same, or can explain this difference.",0,None,3 ,Thu Jul 26 2012 09:54:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2261,/competitions/predict-wordpress-likes,32nd
/greg19,Updated data set has been posted. Please re-download.,"Hi All, We have updated the data set to address some issues that have come up since the data was first released, including: this update reduces noise by removing some posts (from training and test) that can never be liked, and removes likes in the training set where the post date was in the test set interval due to manual changes by WordPress users. This should help ensure that this data set is generated in the same way that the final data set in September will be generated (the one that the final evaluation will be done with). None of these changes affect your previous scores. Kaggle has retrained their benchmark models and saw very little change in their scores. Many thanks to the various folks who have helped us find these problems.",0,None,7 ,Thu Jul 26 2012 20:14:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2262,/competitions/predict-wordpress-likes,None
/cprod1,Enhanced Disambiguated Product Mentions Data Coming,"Dear contestants, here is an early notice of some upcoming changes. Our text annotators have taken another pass through the data and they have created substantially cleaner disambiguated product mention datasets. Given that there have been few leaderboard submissions to date and significant time to train models we plan to make the change to this data early next week - likely Tuesday morning. Only one of your files on hand changes: training-disambiguated-product-mentions.csv. The leaderboard and final evaluation will also change. The main change that you will notice is the inclusion of several new mentions. Other outcomes included updates to the list of products for some terms and some small boundary modifications for existing mentions. Also, along with the new data, we will release the code to a second baseline system that trains a CRF-based sequential tagging model. Recall that the existing baseline system simply extracts product terms from the training disambiguated product mentions and naively applies these directly to the test set. The new baseline will train a statistical model based on some simple features. The feature generator will be Perl-based and will use [Link]:http://mallet.cs.umass.edu/ to train and test a CRF. We hope that these changes will make the resulting solutions more relevant and to make the challenge more accessible. Best, The CPROD1 Team",0,None,4 ,Fri Jul 27 2012 19:52:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2266,/competitions/cprod1,9th
/lucasbeyer,Preview functionality in forums?,"Hi there, I am missing a preview button in the forums, any plans of adding one?",0,None,1 Comment,Fri Jul 27 2012 20:51:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2267,None,None
/hetong007,How are submissions are evaluated?,"Hi,This contest seems to be a good introduction to Machine Learning. But I'm meeting a difficulty in understanding the scores.The data information does not include the details of the evaluation.Can someone explain it?",1,bronze,4 ,Sat Jul 28 2012 05:19:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2269,/competitions/digit-recognizer,None
/alexanderengelhardt,Learning a second language besides R,"Hello kaggle, I'm wondering if there is a good complementary language to learn, after R. I heard python is widely used too, but is it maybe just more of a substitute than a complement to R, meaning it can do exactly the same things with the same (dis-)advantages? C would be nice because you can weave it into R, right? When asking about a ""complement"" language, I meant one that maybe is stronger where R is weak (which is runtime mainly?). I'm also open to hear about suggestions like SAS and MATLAB, although I'm not exactly a paying-for-software kind of guy. Thanks in advance, Alex",0,None,2 ,Sat Jul 28 2012 09:00:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2270,None,None
/adrianmontero0,Language constraints per competition?,"Is there any constraint as to what language I could use for solving the problem in any of the competitions? For example the one on the Kinect gestures, I bet they would like to get some kind of solution in perhaps C#, but what happens if I win and I made the implementation in say... Matlab or some other language that is not the preferred way of the company/sponsor of the competition. Will I be frowned upon if I win a competition with a language that is not the preferred method for a given company? If this is an issue, where would the ""disclaimer"" be located?",0,None,1 Comment,Sat Jul 28 2012 10:03:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2271,None,None
/olexiy,Problems with pythonic metric function,"Hello, Pythonic implementation of [Link]:https://github.com/benhamner/Metrics/blob/master/Python/ml_metrics/quadratic_weighted_kappa.py seems to have several problems. First of all, it crashes with DivByZero on inputs like quadratic_weighted_kappa([3, 3, 3, 3], [3, 3, 3, 3], min_rating=0, max_rating=3) Second, it is intuitively wrong on other inputs. All the following calls return 0, which seems wrong quadratic_weighted_kappa([0, 0, 0, 0], [3, 3, 3, 3], min_rating=0, max_rating=3) quadratic_weighted_kappa([0, 0, 0, 0], [1, 1, 1, 1], min_rating=0, max_rating=3) quadratic_weighted_kappa([1, 1, 1, 1], [2, 2, 2, 2], min_rating=0, max_rating=3) The problem seems to be in [Link]:https://github.com/benhamner/Metrics/blob/master/Python/ml_metrics/quadratic_weighted_kappa.py#L78 -- multiplier ""d"" probably should NOT be present in denominator. Description of the algorithm on ""Evaluation"" page says E will be normalized (which is currently not). Also, it doens't make much sense to divide both numerator and denominator by num_scored_items (which is constant). Best, Olexiy",0,None,1 Comment,Sun Jul 29 2012 01:16:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2273,/competitions/asap-sas,85th
/steve13516,Submission format?,"Just noticed I've two white spaces after my user id in my submission files For instance user,post 1, 3428 29348 24 etc. And as I've a 0 for my submission score, would this be causing everything to break? If so any chance of reseting my submission count for today so I can resubmit. Thanks",0,None,2 ,Mon Jul 30 2012 09:34:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2274,/competitions/predict-wordpress-likes,31st
/slothouber,Some more benchmarks,"Two more benchmarks. A submission with all '1's scores a 0.11614 A submission with all '8's scores a 0.09957 I submitted these to check my assumption that in the test set all digits are equally likely. Thought they might be useful to people, for instance to be able to score or sanity check their algorithm offline.",0,None,2 ,Mon Jul 30 2012 14:20:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2275,/competitions/digit-recognizer,None
/abhinavprai,error while running R code,"while running train <- create_flattenedDataset(con, ""training"", 2, 5, 3) I am getting following error- Error in sqliteExecStatement(con, statement, bind.data) : RS-DBI driver: (error in statement: no such table: training_patient) can somebody explain me reason please",0,None,3 ,Mon Jul 30 2012 18:34:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2276,/competitions/pf2012-diabetes,None
/anuzis,Collaborators on ML in education?,"Anyone know of an open group focused on machine learning in assessing student performance? We have a small team focused on this in our company and we'd love to collaborate and share best practices. It'd be great to have an open forum sharing best practices across Grockit, Khan Academy, Udacity, Coursera, & other scalable education platforms. -Michael",0,None,1 Comment,Mon Jul 30 2012 19:11:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2277,/competitions/WhatDoYouKnow,None
/mramani,random forrest vs random naive bayes vs naive bayes,"the benchmark for random forrest gives a score of around 0.64 Has anyone tried naive bayes, or random naive bayes or any other. How do they perform?? their scores?? Ofcourse, the competition is much more than trying these prelimiary models, but was just curious how do these models (pure bag of word models) perform compared to random forrest (bag of word) ?",0,None,1 Comment,Tue Jul 31 2012 03:21:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2279,/competitions/asap-sas,79th
/albeam,Data submission format,Should the submitted file have any header (i.e. column names) and should it be sorted as it is in the example?,0,None,1 Comment,Tue Jul 31 2012 03:41:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2280,/competitions/pf2012-diabetes,42nd
/mobz46229,CSR or CSC?,"The matrix is supposed to be in CSR format, however the definition provided below is for a CSC matrix (row_ind and col_ptr). Which is true?",0,None,2 ,Tue Jul 31 2012 20:14:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2281,/competitions/emc-data-science,None
/alkhwarizmi,Random Forest post processing,I have learned in other forums here that Random Forest algorithms require some post processing to correct the bias. How is this post processing done? Is it already done automatically if one uses the randomForest package in R?,1,None,1 Comment,Tue Jul 31 2012 22:35:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2282,/competitions/digit-recognizer,None
/yuenking,Questions about Dimension Reduction,The sample code provided reduced the number of dimensions to a 100 from half a million by random projection; I've tried increasing it to 200 and the cv score improved quite significantly BUT even creating that P matrix for the projection took about an hour for my computer to run... Any advice on the suitable number of dimensions? And how do you gurus out there determine the optimal?,0,None,6 ,Wed Aug 01 2012 00:09:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2284,/competitions/emc-data-science,17th
/cprod1,CRF-based Baseline2 Published,"Dear contestants, We have posted a second baseline program in the ""Data"" section, and [Link]:http://www.kaggle.com/c/cprod1/download/CPROD1_baseline2.tar.gz. This baseline differs from the first one in that it trains a linear conditional random fields (CRF) sequence tagging model using the manually annotated training data to recognize product mentions in unseen text items, such as the text items in the leaderboard-text.json file. Details are included below. Note that this baseline does a poorer/minimal job of associating products with each mention than the first baseline. This baseline naively predicts that no products in the catalog correspond to the mention (i.e. productId=0). This approach could be strengthened by leveraging the approach used by the first baseline to inherit product lists directly from the mentions in the training-disambiguated-product-mentions.csv file. Cheers, The CPROD1 Team The approach taken for the baseline is to train a sequence tagging model that classifies each token with one of ""I"", ""O"", or ""B"". The letter ""B"" signifies that the tokens begins a product mention; the letter ""I"" signifies that the token is inside a product mention; and the letter ""O"" signifies that the token is outside a product mention. This tagging approach to identifying chunks from a text sequence has been successfully used at least since ( [Link]:http://www.aclweb.org/anthology-new/W/W95/W95-0107.pdf). To produce the label of each token we define several feature functions that inform a model about the properties of a token and its neighborhood. For the baseline we define twelve token property features plus the property features for the prior token and for the subsequent token for a total of 34 features. The twelve features are as follows: f0: What is the token? f1: Is the first character upper-case or lower-case? FC_UC/FC_lc f2: What is the character count? CHARCNT_# f3: What is the count of upper-case characters? UCCNT_# f4: What is the count of numeric characters? NUMCNT_# f5: What is the count of lower-case characters? LCCNT_# f6: What is the count of dash-characters? DSHCNT f7: What is the count of slash-characters? SLSHCNT_# f8: What is the count of period-characters? PERIODCNT_# f9: What is the count of matching grammatical words? GRWRDCNT_# f10: What is the count of matching english common words? f11: What is the count of matching brand words?? Note that to support f9, f10 and f11 we provide a dictionary file (dictionary.dat) with 86,024 entries of grammatical words, common english words, and brand names from the consumer electronics and automotive domain. A sample featurization of the passage ""... a [[Marantz SR-7002]] bought ..."" (where the [[ and ]] indicate the start and end of a product mention) is as follows: $ echo ""a [[Marantz SR-7002]] bought"" | ./eosTokFeat.pl --dict=dictionary.dat --feata FC_lc CHARCNT_1 UCCNT_0 NUMCNT_0 LCCNT_1 DSHCNT_0 SLSHCNT_0 PERIODCNT_0 GRWRDCNT_1 BRNDWRDCNT_1 ENWRDCNT_1 OMarantz FC_UC CHARCNT_7 UCCNT_1 NUMCNT_0 LCCNT_6 DSHCNT_0 SLSHCNT_0 PERIODCNT_0 GRWRDCNT_0 BRNDWRDCNT_1 ENWRDCNT_0 BSR-7002 FC_UC CHARCNT_7 UCCNT_2 NUMCNT_4 LCCNT_0 DSHCNT_1 SLSHCNT_0 PERIODCNT_0 GRWRDCNT_0 BRNDWRDCNT_0 ENWRDCNT_0 Ibought FC_lc CHARCNT_6 UCCNT_0 NUMCNT_0 LCCNT_6 DSHCNT_0 SLSHCNT_0 PERIODCNT_0 GRWRDCNT_0 BRNDWRDCNT_0 ENWRDCNT_1 O As you see in the example above, and will see in the baseline cide, the task of ""featurizing"" pre-tokenized text item data into the MALLET-friendly format is performed by the eosTokFeat.pl script. Further, each token's feature space also includes the basic properties of the previous (p_) and subsequent (s_) tokens. We refer to these as ""derived"" features (or context-features). You can re-run the featurization example above with the additional parameter of --featdrvd to include them. $ echo ""a [[Marantz SR-7002]] bought"" | ./eosTokFeat.pl --dict=dictionary.dat --feat --featdrvd Given the ability to create this featurized data we can provided to MALLET to train a CRF model (using the trainRecogModel.sh script) and to apply the model to a list of text items (using the applyRecogModelToTextitems.sh script). As you will see, mush the later script deals with the details of restitching the predicted labels with the original tokens, and producing the output in the correct format.",0,None,8 ,Wed Aug 01 2012 01:52:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2287,/competitions/cprod1,9th
/omeecd,Could not attach files,"I am trying to attach a .csv submission file for the past two days. I can browse and select the file, but when I press the submit button, nothing seems to happen! Need urgent help!",0,None,1 Comment,Wed Aug 01 2012 05:46:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2288,/competitions/GestureChallenge2,21st
/walkingsparrow,The metric formula is missing,"I am just preparing to dive into the mining of the data. However, I found that the metric formula is missing on the page [Link]:https://www.heritagehealthprize.com/c/hhp/details/evaluation I cannot find it anywhere else. Can someone be kind enough to tell me the formula?",0,None,2 ,Wed Aug 01 2012 09:08:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2289,/competitions/hhp,961st
/blindape,"How the flat ""train_labsTable"" was joined?","I'm trying replicate the process and I can't. LabObservation table has 29.014 records, but when joined with LabPanel and LabResults to get the PatientGuid only 19.938 are matched. The train_labsTable of the SQLite data has 22.428. I has found there are LabPanel ids without LabObservation (e.g. AC3ED922-D4D7-4767-B17F-16D2B6AE4BB4) and having patientGuid in LabResults: F5E49D7A-FD35-4498-9A9C-B3771758E5A9. There are 2465 records without LabObservation, so I get 2465+19938=22.403 nearly to 22.428 but not exact. Please, could someone confirm the process has been done with this tables and if I'm doing correctly?",0,None,1 Comment,Wed Aug 01 2012 11:38:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2290,/competitions/pf2012-diabetes,1st
/xxx244482,WHO IS dsa!,"I am wondering who is dsa! ??? Why they got [Link]:https://www.kddcup2012.org/c/kddcup2012-track2/leaderboard/public#0.80508 in public leaderboard but only had a final result of [Link]:https://www.kddcup2012.org/c/kddcup2012-track2/leaderboard#0.79892. Almost lost 0.006! Can I call them ""the king of over-fitting"" ? or they did not select ther best answer, to conceal some facts!!?? Can I guess they are one of the teams belonging to [Link]:https://www.kddcup2012.org/c/kddcup2012-track2/leaderboard or Opera Solutions ?? Then WHY do you KAGGLE did not investigate such an obvious case of multiple account !?? I think this competition has been closed and may be no one cares about the result anymore. But I hope someone can explain this strange situation Thank you.",0,None,5 ,Thu Aug 02 2012 04:05:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2292,/competitions/kddcup2012-track2,3rd
/rkirana,Essay Sets 7/8 are teh real problem,Looks like the rest of the essaySets are fine - 7/8 pose the real problem to get high score,0,None,7 ,Thu Aug 02 2012 16:47:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2295,/competitions/asap-sas,24th
/dansbecker,Competition allowing amorphous teams,"I organize a local [Link]:http://www.meetup.com/Front-Range-PyData/, and we'd like to use Kaggle as a way for people to experiment with and learn the Python libraries. In fact, we're planning to dedicate our next meetup to working together on a competition. Are there any competitions that allow large team sizes (and allow new people to join the team after it's started)? Ideally, it'd be a competition with a low barrier to entry (in terms of data size and general complexity). Any suggestions for using Kaggle in this type of setting? Dan PS We could pair off into smaller teams, but we'd like for the presenter at the meetup to distribute some ""getting started"" code without breaking any rules.",0,None,2 ,Thu Aug 02 2012 17:25:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2296,None,None
/thesanction,"Coding up RF, GBM and more in Mathematica","I have made it my project to program as many of the more advanced statistical methods as I can in Mathematica - my language of choice. Interestingly enough Mathematica doesn't (currently) support many decision tree / machine learning algorithms in-house, and I believe translating them from R to M will provide invaluable knowledge of their inner workings. My ultimate goal is to search for ways to improve upon the standard modeling techniques, and/or produce a Metafunction which - given lumps of trial and test data - will infer which algorithms to use from the trial data, apply whatever subset of functions are deemed to have the most potential, and create the optimal blend of these functions with respect to the test data. Step one is getting each of the various silo'd techniques into my native tongue (M) and understanding them in detail. I have a fairly detailed knowledge of RF, slightly less in depth understanding of Gradient Boosting Machines, and only an opaque high-level understanding of neural nets and other machine learning techniques. Anyone who is interested in helping out with this effort - in assisting with writing the code directly, or as a conceptual consultant when I have questions, I'd greatly appreciate it! I love the idea of having learning-only competitions on Kaggle - great opportunity to try out new things and learn a ton along the way. Thanks for the folks who put this on! Mitch",0,None,2 ,Thu Aug 02 2012 19:17:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2298,/competitions/digit-recognizer,None
/cclark,Getting Started - Python Sample Code (Random Forest),"Here's some quick Python code to generate the Random Forest benchmark. For help setting up your Python environment and other tips, see [Link]:https://www.kaggle.com/wiki/GettingStartedWithPythonForDataScience Here's the code - have fun! from sklearn.ensemble import RandomForestClassifierfrom numpy import genfromtxt, savetxtdef main(): #create the training & test sets, skipping the header row with [1:] dataset = genfromtxt(open('Data/train.csv','r'), delimiter=',', dtype='f8')[1:] target = [x[0] for x in dataset] train = [x[1:] for x in dataset] test = genfromtxt(open('Data/test.csv','r'), delimiter=',', dtype='f8')[1:] #create and train the random forest #multi-core CPUs can use: rf = RandomForestClassifier(n_estimators=100, n_jobs=2) rf = RandomForestClassifier(n_estimators=100) rf.fit(train, target) savetxt('Data/submission2.csv', rf.predict(test), delimiter=',', fmt='%f')if __name__==""__main__"": main()",28,bronze,10 ,Thu Aug 02 2012 20:12:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2299,/competitions/digit-recognizer,None
/sashikanthdareddy,Submission Instructions??,"Hi, On the ""Make submission"" page it says: Your entry must: be in CSV format (can be in a zip/gzip/rar/7z archive) have your prediction in column 3 have exactly 5,146,737 rows Are the first 2 columns GROUP, ID followed by PREDICTED_AMOUNT2? Does the submission need to be sorted in any particular order? Also, how can I create variables GROUP & ID for the training set. I ask this since I have validation set on which I would like to test my model before making a leaderboard submission.",0,None,3 ,Thu Aug 02 2012 22:22:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2300,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,7th
/edchen,My solution,"In case anyone's interested, I wrote up a post detailing my approach: [Link]:http://blog.echen.me/2012/07/31/edge-prediction-in-a-social-graph-my-solution-to-facebooks-user-recommendation-contest-on-kaggle/ Kudos to Kaggle for running a fun competition!",10,silver,1 Comment,Fri Aug 03 2012 03:18:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2301,/competitions/FacebookRecruiting,5th
/xxx244482,WHO IS  dsa! in track 2 of KDD Cup 2012?,"Dear Kaggle, I am wondering who is dsa! in track 2 of KDD Cup 2012??? Why they got 0.80508 in public leaderboard but only had a final result of 0.79892. Almost lost 0.006! Can I call them ""the king of over-fitting"" ? or they did not select ther best answer, to conceal some facts!!?? Can I guess they are one of the teams belonging to Catch up @ National Taiwan University or Opera Solutions ?? Then WHY you KAGGLE did not investigate such an obvious case of multiple account !?? I think this competition has been closed and may be no one cares about the result anymore. But I hope someone can explain this strange situation. Thank you.",0,None,1 Comment,Fri Aug 03 2012 04:14:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2302,None,None
/brianmcfee,Participant survey,"Hey everyone, We're down to the final week in the MSD Challenge! Turnout has been great, and it looks like there's still a good amount of progress being made! Before the challenge is over, we'd like to get some feedback from the participants. Please take a minute to fill out [Link]:https://docs.google.com/spreadsheet/viewform?formkey=dGRTNlVsQmt1anpGQ0Q2M0ZYTUNRTHc6MQ and tell us a little about your team, your solution, and maybe give some suggestions for the next version of the challenge. Thanks!",4,bronze,1 Comment,Fri Aug 03 2012 16:42:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2303,/competitions/msdchallenge,None
/binghsu,Is there anyone who wants to form a team?,"I think I have reached a local minuim and can not get myself out. If you want to, contract me: antinucleon at gmail dot com we may inspire each other.",0,None,1 Comment,Fri Aug 03 2012 20:23:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2304,/competitions/asap-sas,30th
/vilisnams,Did I expand the training dataset file correctly?,"I don't use R or Python, and so would like some confirmation that I've expanded the training dataset file correctly. Can someone confirm whether the following are correct: In the first row, there is a 1 in column 78, and a 3 in column 91. In the second row, there is a 2 in column 78. Thanks, Vilis",0,None,2 ,Fri Aug 03 2012 21:44:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2305,/competitions/emc-data-science,None
/dynostat,Welcome!,"Hey Everyone, I want to take the opportunity to welcome you to the CareerBuilder Job Recommendation Engine Challenge. This competition is an opportunity for you to make a substantial improvement to an algorithm that is incredibly important to CareerBuilder's business by helping CareerBuilder's users to find jobs that are relevant to them. As a result of the good work you do on this competition, people will find jobs that they otherwise would not have, something you can take justifiable pride in. If you have any questions about the competition, feel free to let me know. Best of luck to all of you! I'm excited to see what you come up with. Naftali",0,None,1 Comment,Fri Aug 03 2012 22:20:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2306,/competitions/job-recommendation,None
/fuzzify,Large difference between OOB and Leaderboard scores,"I am using features from the sqlite database after some feature engineering and online research (about 130 features). I used these to train RF (both regression and classification). My OOB scores are near 0.338 but my leaderboard score is 0.401. I tried calibrating, but did not see much improvement. I understand that part of the reason may be because of the smaller test set used for the leaderboard, anyone seeing similar differences either using CV scores or OOB scores? As a sanity check, I did try training RFs with the sample features (and also increasing the number of featuress using the sample script), and my OOB score was closer to the leaderboard score.",0,None,8 ,Sat Aug 04 2012 07:46:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2307,/competitions/pf2012-diabetes,61st
/slothouber,feature extraction technique,"Though I might share a technique I tried but that seems to have some problems. The idea is to add to the original training and test set data new labels that describe features of the digits. In this case end points and junction points. For this I processed every digit (using Imagemagick). An example is shown below. Process goes from left to right and top down. The step are: original image, sharpened image gray scale to black and white thinning of lines endpoint detection thin image minus the end points again endpoint detection on the new thin image junction detection on the new thin image The last image shows a combination of the thin image plus end points (green) and junctions (red). From this I use image 7 and 8. These contain the features. I divide image 7 in 16 quadrants and count the number of end points in each quadrant. I do the same with image 8 but now count the junction points. So now I have 32 variables that can be used with the Random Forest algorithm instead of the 784 original pixel based ones in the benchmark I ran the algorithm and it did a reasonable job (for only 32 variables). Now my thought was that if I combine these 32 new variables with the original 784 variables it would do better than the benchmark with only 784 variables. This because new/extra information is now available to the algorithm. However to my surprise, it consistently performed worse. Does anyone have any ideas why?",2,bronze,19 ,Sat Aug 04 2012 09:23:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2308,/competitions/digit-recognizer,None
/accusek,ACCUSE Kaggle of Double Standard,"Sorry for have your attention for a few minutes. I am from one team attending the KDD Cup 2012 competition. Our team is disqualified for prize due to a multiple account problem. It is our fault to run multiple accounts so I apologize for it and accept the decision. BUT, please look at this page: [Link]:http://www.kddcup2012.org/c/kddcup2012-track2/leaderboard, from which we can see the team “dsa!” got the score 0.80508 in Public Leaderboard but only had a result of 0.79892 in Private Leaderboard!! Almost lost 0.006 The only possible reason for this is that they did not select their best answer. We can infer that only the two top ranked teams have this ability to get such a high performance. So it is obviously that one of the teams in Catch up @ National Taiwan University and Opera Solutions were also running multiple accounts. WHY only our team was punished? Obviously there are different rules for different people!! The competition has been closed and I don’t want to change any results. I just want everyone know that Kaggle has Double Standard for different people!!",1,None,1 Comment,Sun Aug 05 2012 10:40:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2318,/competitions/asap-sas,None
/accusek,ACCUSE Kaggle of Double Standard,"Sorry for have your attention for a few minutes. I am from one team attending the KDD Cup 2012 competition. Our team is disqualified for prize due to a multiple account problem. It is our fault to run multiple accounts so I apologize for it and accept the decision. BUT, please look at this page: [Link]:http://www.kddcup2012.org/c/kddcup2012-track2/leaderboard, from which we can see the team “dsa!” got the score 0.80508 in Public Leaderboard but only had a result of 0.79892 in Private Leaderboard!! Almost lost 0.006 The only possible reason for this is that they did not select their best answer. We can infer that only the two top ranked teams have this ability to get such a high performance. So it is obviously that one of the teams in Catch up @ National Taiwan University and Opera Solutions were also running multiple accounts. WHY only our team was punished? Obviously there are different rules for different people!! The competition has been closed and I don’t want to change any results. I just want everyone know that Kaggle has Double Standard for different people!!",0,None,1 Comment,Sun Aug 05 2012 10:40:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2319,/competitions/FacebookRecruiting,None
/eyadsibai,Reading Train.csv in python,I am using genfromtxt.numpy to read the file in python ... but it is taking too much time .. Is there a faster way?,0,None,10 ,Sun Aug 05 2012 20:29:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2321,/competitions/digit-recognizer,None
/benoitplante,zip4,"Hi. I am trying to concatenate the zip and zip4 fields from the ""training_sample.txt"" file to get the zip9 field needed to match the demographic information, as explained in the FAQ. However, it appears that 1,609,593 rows do not have a zip4 value. Is it normal? Sorry, I am not used to American postal codes.",0,None,4 ,Mon Aug 06 2012 00:15:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2322,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,10th
/nitaidean,Reading jobs.tsv,"I'm having a lot of trouble reading the file jobs.tsv. I'm using R, but somehow every method I try using to read the data seems to get stuck somewhere in the file with some error. I've tried read.table, rxImport, sqldf... no luck. All the other files are opening fine for me. Is anyone else having an issue here? Conversely, any suggestions or tips? :)",0,None,14 ,Mon Aug 06 2012 16:35:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2324,/competitions/job-recommendation,None
/jjjjjj,Questions about Submitting the Code to Generate the Final Model,"Hello, Question #1 - I have one script/library that geneates multiple CSV submission files (using different algorithms). Say these files are named file#1.csv, file#2.csv, ..., file#20.csv. What I plan to do is attach this SAME SINGLE ZIP file to 20 INDIVIDUAL submissions on the public leader board. My final submission(s) will be from these 20. Suppose I win. I will indicate which of the 20 files was used. Say, without loss of generality, it is #14. Then to validate my entry, you use my script/library to create the 20 files (on the private test set) and #14 should match the winning entry. Question #2 -As it takes a long time to train my models, I will actually include TWO zip files inside the SINGLE zip file. Zip #1 contains saved models already trained on the training data. Using Zip #1 you can quickly assign labels to new, unlabled data. Zip #2 does NOT contain the saved models. So if you really wanted to, you can re-train the models on the original training data before assigning the labels. Please advise if this posed any problems for myself. Thanks JJJ",0,None,6 ,Mon Aug 06 2012 17:29:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2325,/competitions/asap-sas,7th
/zygmunt,popular_jobs.py,Is code for generating benchmark submission (referred to as popular_jobs.py) available?,1,bronze,1 Comment,Mon Aug 06 2012 23:19:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2326,/competitions/job-recommendation,30th
/eltshan,Can I manually annotate training data?,"For example, at trainging stage, can I manually annotate some key points, or import some information? It's like you did in the sample code, load body part annotations and get depth information. Or the training has to be done all automatically?",0,None,1 Comment,Tue Aug 07 2012 03:12:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2327,/competitions/GestureChallenge2,5th
/dirknbr,Small data,"That data is so small, I could actually classify by eye.",0,None,12 ,Tue Aug 07 2012 17:22:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2329,/competitions/detecting-insults-in-social-commentary,None
/bobjackson,Bone resonance project,"hi, I'm working on a medical research project where we're looking at the changing resonances in femur bones during hip replacement operations. Some surgeons use the increasing pitch of the bone resonance to tell them when to stop hammering/reaming the shaft of the feamur. If they apply too much pressure when creating the cavity for the replacement hip, they risk fracturing the femur. Basically, I've recorded a number of these resonances using a bone conduction mic and now I have a number spreadsheets with one column listing frequencies in 5Hz bands and 3 columns showing the amplitude of that frequency when the bone is loose, medium to tight (referring to the tension of the reamer/chisel creating a cavity for the replacement joint). I'm coming at this more from a sound perspective so I would really appreciate some advice from anyone with a handle on stats and predictive modelling, I'm trying to find a pattern to the change in frequency which is consistent in all cases. Any advie? Bob here are the results for one of the recordings (showing results up to 130Hz): Tight Medium Loose Frequency(Hz) Amplitude Amplitude Amplitude 4.8 235.7792618 230.9234405 231.1000617 9.6 0.043094273 0.000408513 0.001958404 14.4 0.041891772 4.73558E-05 0.007284154 19.2 0.039947007 0.000312599 0.004087911 24 0.045217015 0.001931928 0.000868509 28.8 0.048312219 0.00032149 0.002218311 33.6 0.049471309 0.001497145 0.000578892 38.4 0.04194662 0.000281999 0.003214407 43.2 0.045684052 0.000138078 0.002015832 48 0.052504802 0.000343018 0.002196748 52.8 0.034209792 0.003370299 0.001621191 57.6 0.042804688 7.35089E-05 0.00303961 62.4 0.049219895 0.000585977 0.003372569 67.2 0.060144118 2.59818E-05 0.004686416 72 0.053544741 0.000241176 0.00619741 76.8 0.050808293 0.000406323 0.008151092 81.6 0.075992989 0.003048539 0.009443015 86.4 0.072470548 0.001086426 0.014234199 91.2 0.060954515 0.000486502 0.017891371 96 0.056156351 0.00055765 0.023101497 100.8 0.039724947 0.000796546 0.024379882 105.6 0.022291347 0.000896394 0.022959746 110.4 0.027123538 0.001145114 0.017949264 115.2 0.010778543 0.001666414 0.019941467 120 0.050388441 0.001309592 0.025930194 124.8 0.066741392 0.001055684 0.036254997 129.6 0.081997766 0.000417498 0.04969281 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/3251/10b.xls",0,None,3 ,Wed Aug 08 2012 12:32:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2333,None,None
/benhamner,Solution Posted,"Hi all, We have released the solution file to Track 2 of the KDD Cup. It may be downloaded from the data page. Cheers, Ben",1,None,2 ,Wed Aug 08 2012 19:57:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2334,/competitions/kddcup2012-track2,None
/benhamner,Solution Posted,"Hi all, We have released the solution file to Track 1 of the KDD Cup. It may be downloaded from the data page. Cheers, Ben",0,None,2 ,Wed Aug 08 2012 19:58:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2335,/competitions/kddcup2012-track1,None
/benoitplante,Where are everybody?,There is not a lot of competition this time... Good for me ;) just kidding.,0,None,5 ,Wed Aug 08 2012 22:45:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2336,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,10th
/heirloomseed,Please Explain,"Hi, Would an admin please explain exactly what this paragraph means that is found on the submissions page: ""Note: You can select up to 5 submissions that will be used to calculate your final leaderboard score. If you do not select them, up to 5 entries will be chosen for you based on your most recent submissions. Your final score will not be based on the same exact subset data as the public leaderboard, but rather a different private data subset of your full submission. Your public score is only a rough indication of what your final score might be. You should choose entries that will most likely be best overall, and not necessarily just on the public subset. "" I am confused, and I know others are as well based on past comments. Thanks, HS",0,None,1 Comment,Thu Aug 09 2012 00:52:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2337,/competitions/asap-sas,35th
/dirknbr,how many rows,the submission page says 2647 rows but the sample submission file has 2649 rows including header and last row,0,None,2 ,Thu Aug 09 2012 16:36:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2338,/competitions/detecting-insults-in-social-commentary,None
/zygmunt,Understanding Mean Average Precision,"This challenge is evaluated using MAP. It was hard for me to grasp this metric at the beginning, and the Wiki entry is somewhat cryptic. So here's an easy intro, hope you find it useful: [Link]:http://fastml.com/what-you-wanted-to-know-about-mean-average-precision/",3,bronze,1 Comment,Thu Aug 09 2012 16:44:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2339,/competitions/job-recommendation,30th
/pankajtakawale,Looking for a team to join,"Hi, I've done some work in NLP. And Im a good C++, Java programmer with 8+ years of experience. I'm at beginner level in Machine Learning & NLP, and eager to explore the area. I would like to join a team to work on this project. Please contact me on pankaj.takawale@gmail.com if interested",0,None,1 Comment,Thu Aug 09 2012 18:33:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2340,/competitions/job-recommendation,None
/nhanitvn,Are applied jobs excluded from suggestions and what were Test periods' start dates?,"Some questions: - As described in the data section, The Test users (22839 Users total) are those who made 5 or more applications in the 4-day test period. I can see that in apps.tsv file, there are 13202 test users who made at least 1 application in his window. Is the task about predicting other jobs that the test users made? Cause the benchmark generate for each test user a list of suggestion without excluding jobs that these test users made in the apps.tsv file. - You say: Users can only apply to a job between its StartDate and EndDate, so don't predict that a user applied for a job if the job was not visible for at least part of the 4-day Test period. How do we know that a job was visible or not for at least the Test period if we dont have information about the Start date of each Test period?",2,bronze,1 Comment,Fri Aug 10 2012 19:01:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2341,/competitions/job-recommendation,16th
/anil450039,Use MALLET to train data,Can we give any .csv or json file as input to mannet MALLET whic contains product and their associated reviews. How to give .csv file as an input to mannet.,0,None,1 Comment,Fri Aug 10 2012 20:52:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2342,/competitions/cprod1,None
/andrev,Desirable Data Science Skillset + Where To Start?,"Hello guys, how are you =)? My name is Andre, and I will first and foremost apologize for the size of the following post. Its length pretty much correlates to how lost I am right now in the task of getting into the data science world. Thank you in advance for reading it, and please try to bear with me until the end. As the topic title already suggests, I am searching for answers to the following questions: 1) What is the desirable skillset required for one to become a data scientist and actively participate in Kaggle contests? 2) Where should I begin to learn about data science and acquire this skillset? Unfortunately, I don’t have a mathematics-rich background – I have a major in Advertising and have been working for a couple years now with Digital Analytics (analysis of internet properties data, such as websites, social media profiles, media campaigns and such. You are probably familiarized with it). My work is to basically look at navigation numbers and draw conclusions that generate value for my clients and help their businesses grow faster in their online (and sometimes offline) environment. Working in that area made me realize I love analyzing data. That said, I wanted to dig deeper, so I (slowly) started learning a bit of statistics through KhanAcademy lessons and have been putting a bit of time into it, but I’m not sure what the limit is going to be there. It’s been a while since I have this desire to learn more about statistics and data to hopefully, in the future, do some work to achieve something bigger. I think that if I put a lot of work into it, maybe I will be able to help people out somehow with medical / healthcare analysis in the future – the goals I will try to reach are still a bit unclear to me as of now. However, this is when I found out about Kaggle, and one of the first things I read here was Ian Clements bladder cancer blog post and how Kaggle was putting a contest up for people to give it a shot and try to get some conclusions out of it. This would be the perfect scenario, I would really like to help with the findings on this case, but I can’t even understand what to do with the CSV files that are available on the website. So, here we are: where should I start in terms of data science as a whole? I tried to read some of the tutorials available here, but I feel that maybe they are a bit too advanced for me now? Another important point is that I just started learning Python and coding 3 weeks ago, so I feel this is an uphill battle, but I am definitely willing to put as much work as needed to be able to deal with data science. I appreciate any advice you guys can give me. Also, I realize my desire to learn and become a data scientist with such an unrelated background might strike as being a bit weird and maybe too much of a longshot to some of you who already have the needed skills and are already deep into the subject, but this is the exact reason why I’m posting this now – I need to know how far I am from actually having the necessary tools to deal with data science. Feel free to be honest and throw the cold water at me as well haha, I’m kind of expecting it given how little my knowledge currently is. Sorry for the long post and possible grammar mistakes, I am not a native speaker. And again, thank you very much in advance for anyone who reads and / or replies to this =).",0,None,6 ,Sat Aug 11 2012 08:30:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2343,None,None
/aranauro,Submission Sort,Is the submission required to be in the same order as the sample submission file for it to be properly evaluated?,0,None,2 ,Sat Aug 11 2012 15:06:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2344,/competitions/detecting-insults-in-social-commentary,30th
/jdxyw2004,Can't download data files?,Why the data files Pyschopath_Trainingset_v1.csv and Pyschopath_Testset_v1.csv cannot be downloaded. There is no link on data page.,1,None,4 ,Sat Aug 11 2012 15:59:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2345,/competitions/twitter-psychopathy-prediction,None
/jacolope,How long should it take to run the benchmarks?,"I'm running the random forest benchmark script through ESS on Ubuntu, with 8 gb ram and Intel i5-2520, and an SSD. The script has been running over two hours now, which seems pretty long. Is this typical?",0,None,10 ,Sat Aug 11 2012 16:53:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2346,/competitions/digit-recognizer,None
/amuellerml,Performance evaluation,"Hi. Is the performance evaluation soley based on the 0-1 loss? As the problem is quite imbalanced, another loss functions would probably be more appropriate. As submissions include probabilities, I would assume that you use something else, like f-measure or AUC internally. Is this the case? And if so, could you disclose which measure you are using? Thanks, Andy",0,None,6 ,Sat Aug 11 2012 23:42:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2348,/competitions/detecting-insults-in-social-commentary,6th
/nitaidean,StartDate and EndDate of jobs,"A question regarding the StartDate and EndDate columns of the jobs table: These dates signify when a certain job comes on the market, and then when the job goes off the market. Does the span of days that the job is live include the start date, the end date, or both? For instance, if a job starts on ""4-21-2012"" and ends on ""4-23-2012"", then which days is this job active? For all 3, or just 2 of them? Thanks!",0,None,1 Comment,Sun Aug 12 2012 06:54:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2349,/competitions/job-recommendation,None
/dksahuji,what all methods is everybody using??,I was excited to know what all methods is everyone using in this event. Mostly for preprocessing.:),0,None,38 ,Sun Aug 12 2012 09:55:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2350,/competitions/digit-recognizer,None
/rkirana,error while making submission,I have submitted many times successfully 2 weeks back - but now it is not allowing me to make any submission Here is the snapshot,0,None,6 ,Sun Aug 12 2012 12:06:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2351,/competitions/asap-sas,24th
/mistergreen,Benchmark problem,"Hey all, I am having a strange issue when I try to run the benchmark code. When attempting to do a cross validation on the flattened data set as set up in the benchmark file with the random forest, my log loss scores are in the neighborhood of 5.6 and 6.6, which seems crazy. The benchmark score on the leaderboard is, of course, much lower. I am not sure what could be happening--I have very little experience with sqlite let alone Rsqlite. This is the R code for the metric I'm using (the log loss, which appears to be the same as in the biological response contest): err <- function(actual, preds){ -sum(actual*log(preds)+(1-actual)*log(1-preds))/length(actual) } Any advice or thoughts as to what might be going on would be greatly appreciated. Thanks, Rob",0,None,4 ,Sun Aug 12 2012 21:12:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2354,/competitions/pf2012-diabetes,None
/smcinerney,Blogname of test set 9985th entry is junk?,"This is almost surely an outlier, but test set entry 9985 blogname is just artistic junk: ""!poi4':;!poe'!';;!mbassy::!oip3'::"" (I'm trying to debug some unescaping code and this is a corner-case) URL: [Link]:http://wlal.wordpress.com/2012/05/01/new-perloff-article-poetry-on-the-brink/ While we're at it, anyone want to share experiences on language, encoding, tags or categories? Handling punctuation is real thorny. Handling Unicode punctuation is even more fun.",0,None,1 Comment,Mon Aug 13 2012 00:35:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2355,/competitions/predict-wordpress-likes,None
/raegold,Any sample of the submissions,I would like to join this competition. I not sure how to write the submission file. Is there anyone who can share any previous smaple submission? Thanks and good luck for you all.,0,None,12 ,Mon Aug 13 2012 13:37:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2356,/competitions/job-recommendation,None
/glider,Revised Timeline - please read,"There's been much discussion on whether it is possible to cheat on the competition by handscoring the dataset. We've decided to head-off this discussion by using the a similar mechanism to the [Link]:https://www.kaggle.com/c/asap-aescompetition. In order for Impermium to more easily verify the results: 1) 1 week prior to the end of the competition, we will release the full test set. You may use this code to retrain your models in whatever way you see fit. The public leaderboard will be locked and continue to reflect its state before the release of new data. 2) At the end of the competition, participants must submit not only a solution file, but the self-contained code used to generate this file ( including all corpora and other supplemental materials ) 3) At the end of the competition, Impermium will release an additional verification set. You will have 3 days to generate a solution file for the new dataset using your previously locked code 4) The overall winners of the competition will be determined by their performance on the verification set. Winning entries will be checked to confirm that they were generated with the locked code. See the rules and timeline tabs for more details.",0,None,8 ,Wed Aug 15 2012 00:18:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2359,/competitions/detecting-insults-in-social-commentary,None
/iamivo,Are all jobs used?,"Hi, I got a simple question: Are the listed jobs selected by at least one user? Put another way are there jobs that are not selected by any user at all? Best ivo",0,None,1 Comment,Wed Aug 15 2012 06:54:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2360,/competitions/job-recommendation,71st
/kenobi0,Source of Data,"Maybe I missed the information, but could you say more about the data source such as: (1) Are the users (doctors) mainly primary care doctors? (2) I assume patients may visit different clinics/hospitals and only those using Practice Fusion EHR will be recorded. As a result, the data don't contain the whole health history of the patients. Is this correct? Thanks!",0,None,3 ,Wed Aug 15 2012 07:28:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2361,/competitions/pf2012,None
/strotham,Questions from a layperson,"I am not an expert in data-mining, but have a 4 year experience as a moderator of a forum where insults are a common feature. I would be more than happy to hear about the following questions: How is the reference score defined ? Unlike others competitions, the submissions cannot be tested against an objective information. How likely is it that several independent submissions achieve an AUC within the same percent ? Thanks in advance for your answer, if any.",0,None,8 ,Wed Aug 15 2012 07:45:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2362,/competitions/detecting-insults-in-social-commentary,None
/nott48153,"1 Group, 2 Teams, sharing code exceptionally?","Dear all, in the Rules it says, teams must not share code. Which is perfectly understandable at first sight. Our situation here is: we are one workgroup, but we have two completely different approaches that we follow. Yet, we would like to share IO code for reading in the data and converting them to other formats. We do not want to submit as one team. Suppose we had two submissions, one being 1st prize and the other 2nd prize (in my wildest dreams. :) ) - then our 2nd prize approach would be great, but it would not yield a tech paper describing the approach. This would be against the idea of the competition: making the winning solutions public. So we'd rather be two teams. Would it be an option to release our IO/format conversion code under GPL right now? (Still this would be rather a political solution, since other projects probably won't find it usefule, but it would equal chances of all teams.) Please clarify! Best nOtt",0,None,2 ,Wed Aug 15 2012 11:13:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2363,/competitions/asap-sas,95th
/zenog15462,Challenge retrospective: Methods? Difficulties?,"Hi, first of all, thanks to the organizers for providing a really interesting and challenging dataset and problem. Congratulations to the winners. I am really looking forward to see their solutions -- which according to the rules will be posted on the forum and released as free software. What were the approaches of all other participants -- especially of course the high-ranking ones? And: What were the main obstacles you faced? I am looking forward to your answers.",1,None,16 ,Wed Aug 15 2012 22:51:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2365,/competitions/msdchallenge,23rd
/benoitplante,Current model,"A new benchmark was added today ""Current model""... what's that?",0,None,1 Comment,Wed Aug 15 2012 22:58:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2366,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,10th
/zenog15462,Inconsistent/unclear rules,"Hello, there are some inconsistencies between the rules on the Kaggle website and the ones in the MS Word document. For example, [Link]:http://www.kaggle.com/c/job-recommendation/details/rules states There is no maximum team size. while [Link]:https://storage.googleapis.com/kaggle-competitions/kaggle/3046/media/CB%20Kaggle%20Competition%20Official%20Rules%207%2012%202012.docx states A team may be comprised of up to ten (10) members Which rule is the binding one? It should also be stated more prominently that one can only use certain software for this contest -- at least this is how I read the following paragraph: License. The Grand Prize Winner, Second Place Winner and Third Place Winner each (a) grants to Sponsor and its designees a worldwide, non-exclusive (except with respect to Entrant), sub-licensable, transferable, fully paid-up, royalty-free, perpetual, irrevocable right to use, not use, reproduce, distribute, create derivative works of, publicly perform, publicly display, digitally perform, make, have made, sell, offer for sale and import each Entry and the algorithm used to produce the Entry (collectively, the ""Licensed Materials""), in any media now known or hereafter developed, for any purpose whatsoever, commercial or otherwise, without further approval by or payment to Entrant (the ""License"") and (b) represents that he/she/it has the unrestricted right to grant the License. For instance, can I use software under GNU GPL where I am not the exclusive author for this competition? Please clarify this.",0,None,11 ,Thu Aug 16 2012 00:44:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2367,/competitions/job-recommendation,None
/cartersibley,"External Data, End Date, and Machine Requirement Questions","Could a Kaggle or Wordpress admin answer a few questions that were unclear (at least to me) from the rules? What is the deadline for posting external data used? The counter on the competition says there are 22 days left, but the contest rules state the contest closes to new submissions on September 1. Does this mean exernal data used must be posted by 8/17? Is there a forum topic for external data, or should we just post a new topic in the forum? What is the timeline after September 1st? The rules state that all submissions and code must be in by 9/1, so what is the purpose for the remaining week until the 'End' date (top left) of 9/6 (or 9/7)? Is this when we will need to run our code on the new evaluation data sets? Are there any restrictions on the machine or time required to run the submissions? I am using all of 32GB RAM to create my submission, and Ubuntu UNIX OS. Will this be OK? Are we responsible for processing the final submissions ourselves? Finally, is there any limit on start-to-end processing time? Thanks!",0,None,1 Comment,Thu Aug 16 2012 02:56:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2368,/competitions/predict-wordpress-likes,1st
/dchudz,External Data (deadline is 8/18),This is the place to post external data you'd like to use. The deadline is 8/18 (end of day).,0,None,4 ,Thu Aug 16 2012 19:04:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2370,/competitions/predict-wordpress-likes,15th
/ccccat,Some legal clarification is required,"Unfortunately I am reading legal documents before signing them. Practically all documents require some clarification. Official Competition Rules requires them also. 1. ""The winner ...will also be required to complete,sign and return an Affidavit of Eligibility and Liability/PublicityRelease"". Could you please make the Affidavit available now to avoid last minute legal misunderstanding. 2. ""you registration may be rejected ...if any of the information in your Account is...incomplete, incorrect or inaccurate"". Could you, please clarify which specific information in an Account it is related to. I hope we are not talking about ""favorite technique"", for example. 3. ""Team Entries must be submitted by the Team leader"". Do you really want it? It creates unnecessary problems for participating teams. 4.""The log for forming the validation dataset corresponds to an earlier time than that of the testing dataset"". What does it mean? 5. ""Each Winner grants to Sponsor...non-excusive (except with respect to Entrant) ... right to use"". What is "" non-excusive (except with respect to Entrant)"". I could understand ""non-exclusive"" or ""excusive (except with respect to Entrant)"". 6. In Confidentiality: ""If Participant is required by law... to disclose...the terms of this Agreement..."". Are you considering this agreement to be confidential ? 7. ""If a Participant does not wish to continue to participate in the Competition...such participant may terminate his/her/its participation in the Competition by deleting his/her Account on the Website"". Does it mean that to stop participating in one competition I have to delete my whole Kaggle Account?",1,bronze,4 ,Fri Aug 17 2012 14:31:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2374,/competitions/MerckActivity,None
/nikitsaraf,Not able to replicate baseline solution,"Using your Sample perl script, I'm getting the mean variant score as just 0.03774 instead of 0.12500 (as the sample script should produce). I'm not getting what is wrong that I'm doing. Whatever is getting printed on the terminal is the soultion and should be saved in a .csv file and submitted, isn't it? Can any one tell me where I'm going wrong?",0,None,4 ,Sat Aug 18 2012 00:15:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2376,/competitions/cprod1,16th
/ericbalke,Looking for a healthcare analyst teammate?,"I'm new to Kaggle...I have been in healthcare analytics for 2+ years and in Northwestern's MS in Predictive Analytics program. I have experience in SAS, SPSS and I'm interested in getting my feet wet with predictive modeling in this competition. If anyone needs a teammate with experience in healthcare risk adjustment and data mining with healthcare data please send me a message. Thanks! Eric",2,None,2 ,Sat Aug 18 2012 00:19:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2377,/competitions/pf2012-diabetes,None
/bluedream,A blog has two or more author?,"I find two records in trainPosts {""date_gmt"": ""2012-03-29 01:35:07"", ""language"": ""en"", ""author"": ""31393158"", ""url"": ""http://dhreno.wordpress.com/?p=5086"", ""title"": [""ram"", ""cage"", ""lock"", ""bummer""], ""blog"": ""45568"", ""post_id"": ""251838"",{""date_gmt"": ""2012-03-30 17:46:38"", ""language"": ""en"", ""author"": ""44699"", ""url"": ""http://dhreno.wordpress.com/?p=5090"", ""title"": [""black"", ""rock"", ""bike""], ""blog"": ""45568"", ""post_id"": ""848607"", blog = 45568 , ""author"": ""31393158"" ""author"": ""44699"" Another question: is ""uid"" equal to ""author""?",0,None,1 Comment,Sat Aug 18 2012 04:37:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2378,/competitions/predict-wordpress-likes,52nd
/dm125532,LabPanel table records without a link in LabResult table,"According to the data dictionary, LabPanel table records reference LabResult table. But, in the trainig set (training_syncLabPanel.csv and training_syncLabResult.csv) there are 4352 records out of total 11139 records in training_syncLabPanel.csv file which do not have a matching LabResultGuid in training_syncLabResult.csv and in turn they cannot be linked to patients for which the results are. Is there some problem in data or is it supposed to be this way? But, if lab observations cannot be linked to patients via lab panel --> lab result, the information looses value.",0,None,1 Comment,Sat Aug 18 2012 12:51:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2379,/competitions/pf2012-diabetes,115th
/drrr11321,Duplicated variables and molecules,"There are duplicates in molecule names in several training dataset (ACT1, 6, 8, 10). But variable values of those molecules are different. Also there are a lot of duplicates in names of variables in training and test sets. But values of variables with identical names are different. (I didn't check all datasets comprehensively yet). What does it mean? Are they mistakes or not?",1,None,16 ,Sat Aug 18 2012 16:19:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2380,/competitions/MerckActivity,59th
/roulinir,Strange artifact with the time string? ,"It seems that when the time string is not specified, the comment is eight times more likely to be non-offensive than offensive; That's while a random comment from the train set is only 2.8 times more likely to be non-offensive. Any reason for that? Seems like an artifact that I would like to avoid in my model ...",1,None,4 ,Sat Aug 18 2012 18:59:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2381,/competitions/detecting-insults-in-social-commentary,26th
/atulkulkarni,train.csv - query time?,"Hi All, The expplanation says the ""Query time - Time the query was run"", is it the time taken to compute the results of this query or number of times the query was run by this user? and What is the significance of this attribute to the data set - how does it relate to the user in question? Thanks and Regards, Atul.",0,None,6 ,Sat Aug 18 2012 20:49:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2382,/competitions/acm-sf-chapter-hackathon-big,None
/olivernowak,Submission Error with Popular SKU benchmark,"attempting to submit the benchmark 'popular_skus.csv' resulted in the following error: ERROR: Unexpected error: '9854804 2107458 2541184 2670133 2173065 is not a valid value for Double.' (Line 2) its my understanding that the submission guidelines require an sku prediction, and that all sku's are real numbers. the error returned above seems to indicate that the submission engine is expecting float/double values for the sku.",0,None,1 Comment,Sat Aug 18 2012 22:35:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2383,/competitions/acm-sf-chapter-hackathon-small,80th
/sashikanthdareddy,Leaderboard Page lists RMSE instead of MAP@5,You may want to correct that. Δ3h Team Name RMSE Entries Last Submission UTC (Best Submission - Last),0,None,1 Comment,Sun Aug 19 2012 00:20:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2385,/competitions/acm-sf-chapter-hackathon-big,None
/joycenv,Small bug correction to evaluation metric,"Hi Everyone, We discovered a small bug in the evaluation metric as implemented for the website. We've corrected it and rescored the leaderboard. The sample script for R-squared is not affected by this change. Cheers, Joyce",0,None,4 ,Sun Aug 19 2012 00:59:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2386,/competitions/MerckActivity,None
/aurotripathy,"Data set for the ""PC Sized Problem"" has just one category","Hi team: Data set for the ""PC Sized Problem"" has just one category! Is that intentional? That takes away one attribute -Auro Ps, here's what R is telling me > str(bb.data)'data.frame': 42365 obs. of 6 variables: $ user : Factor w/ 38024 levels ""0001cd0d10bbc585c9ba287c963e00873d4c0bfd"",..: 1 2 2 2 3 4 5 6 7 8 ... $ sku : num 2032076 9854804 2670133 9984142 2541184 ... $ category : Factor w/ 1 level ""abcat0701002"": 1 1 1 1 1 1 1 1 1 1 ... $ query : Factor w/ 5960 levels ""#"",""*"","".wwe 12"",..: 2236 2237 2237 262 1393 4368 3729 948 4343 5433 ... $ click_time: Factor w/ 24945 levels ""00:00.1"",""00:00.3"",..: 9502 14814 15009 15511 6414 18522 4163 2314 1198 16537 ... $ query_time: Factor w/ 24379 levels ""00:00.1"",""00:00.2"",..: 8833 14479 14479 15056 6260 17996 3873 2059 1114 14927 ...",0,None,2 ,Mon Aug 20 2012 03:46:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2388,/competitions/acm-sf-chapter-hackathon-small,None
/aurotripathy,"Any suggestions for handling ""bad"" click_/query_time data? Discard?","The PC data set has 81 such records. Discard? > bb.data[!complete.cases(bb.data),] user sku category677 03e6a6fe0f37f2e470454898ac3dfc501a95d9f5 2945052 abcat07010021114 068c4aebe3d1243b5be4c522a3267af77c4f2a1b 2704058 abcat07010021275 0779bcd0855ea3aee310fced50669b6a5515f42c 2633149 abcat07010021310 07a9012b203b9511de0aed86add3201bdd2edbb1 1251132 abcat07010021391 082e88d1913fdee1f86acee520017d1e7122d041 2889044 abcat07010021447 0884491a3e8ea7429b91e42ef48f7f4813316f04 2856517 abcat07010023225 13cf061fabef15239047e665fa0f00414c9f2574 2704058 abcat07010023463 151f5d684079f0ebdc66e74b50448fde302aad72 1180104 abcat07010023464 151f5d684079f0ebdc66e74b50448fde302aad72 2897073 abcat07010023642 16011fefcfa90692ab83b79cf781676648a752c3 2704058 abcat07010025757 2318f1d8061b20368b56c30ec3e6fb346916ea5b 2670133 abcat07010025864 23b53be046f97e932a24603dd20d467f31dbe840 2173065 abcat07010025955 242796ae78c1b925385cafbc16d5d47e162ab93f 9902347 abcat07010027380 2c9461e507a8dee07027a9108ca2281815e3332b 9854804 abcat07010027713 2ea8120e27475a225e7957265457d568f6476f9d 2541184 abcat07010027965 303cb21c827bbd6a7f0b8d4a3ad090e4f4f48db6 9276473 abcat07010028277 32264e099be8ff709e789ed946b8434bc07a2618 2107458 abcat07010028574 33e0195f22db8e3bb3db1aea3e99bce2ad79df53 2107458 abcat07010028833 357b70dd71229720277a988874227ac8982aa380 9385809 abcat07010029017 368ee28f5318732eb898d4f4931e284154c2c6c0 9854804 abcat07010029700 3abb4954613339296922ef7c17378aa32ba10d23 3552327 abcat070100210612 407bf3ffe163f45439a3cda3aa568af956ec0d26 2078113 abcat070100211335 449e54e642ec968cbe2383835da777f55fbe9304 2670133 abcat070100211928 48223aa306e90382b18da66a88fbd8aabc5fae19 1775051 abcat070100212527 4b9d1264e36b42f661e20f0ee62fa8c40ef5a45e 2375195 abcat070100212818 4d4a3fc1c9ee8b44517dff4c2f570edb44adf026 1011491 abcat070100213059 4ed0b93be5150b770064b77b63c452941ceac674 9854804 abcat070100213152 4f5fa0f2bac4123272fd9f3e921cc13eae7f7290 2107458 abcat070100213415 50e76475cf977256e6e0699802a52be09a5c18e9 1092494 abcat070100214227 56004871fd820eaa6d0f24bf0a10c9de72283f1d 8237302 abcat070100214754 59176cf5cffef12d5902afb989a26d4ea7e147e6 2541184 abcat070100215374 5cd76e258b526b8e35a31b8ec81c2f84f7390950 1092494 abcat070100216542 63f0743c43a6fb856df1fc24196c3133d58fba43 1228939 abcat070100216550 63fcf11e52c0459b74b0e54b0ba5b27ae6ddaa4e 9927373 abcat070100217235 683412e607aea50437cf71c662643b3f15545e6f 3046603 abcat070100217768 6b5848ef2c012337fff17b64426b95065e357b0c 1179963 abcat070100220418 7c25de489b585c0952c0fa4e0a79fcad5562f6fb 9460736 abcat070100220468 7c78ee792d8b2fec8314315ba1bac7c57f2e1110 1078792 abcat070100221562 82cb6c12ffd6abee4a68ccd92dac33236949c27e 2541184 abcat070100221978 851cd31fa5c9cfa73cbcde690bdae654eeb41331 2945052 abcat070100222644 8919ca8b46114a2feb86ef74bb9e695508e2d257 1207275 abcat070100223556 8e6da0fb78311f6895c698fc2c778be8e2030140 2945052 abcat070100224144 92121002d74f7bfd6d8049dd7f65d7bffbe3e8f2 2107458 abcat070100224209 9292bcb2fdc6f0c1bc12bad36603e293626d6447 2541184 abcat070100225200 9873b42e3ed25cb779ac3dee9c5e89bd185e981a 2541184 abcat070100225708 9b85d5b4a9610d60f01f3325e3d28f2241473fe0 2107458 abcat070100225776 9be407cea696deb2fefc5eb7cd397246fcb24bb7 2078113 abcat070100226290 9f5b59a64e666704db875bc268c618509b674998 2173065 abcat070100226486 a0a7e67027e4a15636bde8c0bf434559ae5e4255 2467129 abcat070100226521 a0ed3381813725d4bfa927c3617fd291631d2fb8 9460736 abcat070100227173 a4a75af4409d8470253900f4a2399a48494b2776 2670133 abcat070100227952 a9524323bca65a43549f5506ff85bc61f8f34c8a 1515341 abcat070100228213 aadec8d7203ac605c99dd4fa7cd531ff51dc4aad 9927373 abcat070100228454 ac2fb6eec8cfb1469d92eaa2c3fb40e1f2945ffe 2704058 abcat070100229631 b3369bbe2c5ad6ef62435639ddfb9b2ecf5fe9bf 3301556 abcat070100229816 b45192f4a03c4269a7fd3b04f6067a2a2379cb76 2704058 abcat070100231104 bc1e8da840f2cc45efed1b5b27874ef3a82c43ac 2107458 abcat070100231503 be47bc5d5e958ea7bceb2a2dd81ac56ceb5fb069 9854804 abcat070100232592 c496180b955aee419c11551d7862827ce5cfdb55 2704058 abcat070100233220 c82528065221e602388d0585a20c77bcc6c96f98 9854804 abcat070100233417 c93c03fac45ae3ba4b95c8b683eb60d18cbcaf61 9854804 abcat070100233534 c9e7cc4904a6ee94df5549e1e8cb26b233991862 2945052 abcat070100234329 ced9ad00f3f1c65fce0ae329e0b29444b1c1f267 2330703 abcat070100234355 cf169f9d1664dcdeb19e57efdd4ba93fe02d7401 9461183 abcat070100234369 cf2b5481ecb41c015c60f99083db604fe81b8430 2945052 abcat070100234410 cf6592b09264f2b5da80e3594cc294c90af06a51 3619085 abcat070100234453 cfbb905185c0ebd35608884d31c7ea3167d9f587 2541184 abcat070100234662 d13741a3c7e6a769fd7ed0b1b2342084237f6b1c 2173065 abcat070100235327 d56c26443e9a6d56373e78e77aedf2a011125c38 2375195 abcat070100236421 dc013b7dd3e4e4e49f1e0e3f550b4d00c71563dd 3559384 abcat070100236508 dc94becd7e835e2a6ea6b2329bf1f3d3fdba6b3c 2173065 abcat070100236978 df37b703925402f20dbb01b7e157b3f974d1d62c 2173065 abcat070100237077 dfc8b651c579a7015bebb6cccb1734ba994838cf 3046066 abcat070100237150 e045a11324f8900f7ea1c5d98e71b8caf21019ed 9854804 abcat070100238016 e594a637538e0db2deddcd07aa34f698500c9684 2173065 abcat070100238177 e6af4e582e0583010270deb86e7390af74bf81f3 2078113 abcat070100238688 e9fb75a286313ebc5d7b7d1b1e053df63967304b 1515341 abcat070100239647 ef8615b432bd8801e3953102e332a210d5d09e01 2375195 abcat070100240801 f6a762c1b48f3c77d5399d138e4f883d9f20312e 2598445 abcat070100240916 f778279cf43fee83f09ebbef87ba3f8e63570aa7 9854804 abcat070100241500 faffd177c09bc0813fc9faeb1a601ca77f85f6a8 9854804 abcat0701002 query click_time query_time677 Call of duty 00:56:02 <NA>1114 fifa 12 00:34:04 <NA>1275 2371074 2126339 2126108 00:23:38 <NA>1310 Zeus ex <NA> 00:01:121391 dc universe <NA> 00:25:021447 halo <NA> 00:18:193225 FIFA 12 00:48:29 <NA>3463 Kinect xbox games 00:13:55 <NA>3464 Kinect xbox games 00:15:43 <NA>3642 FIFA 12 <NA> 00:44:505757 MW3 hardened edition 00:07:24 <NA>5864 Batman <NA> 00:55:265955 call of duty black ops 00:06:16 <NA>7380 Gears of war 3 <NA> 00:38:577713 Dead island 00:18:47 <NA>7965 modern warfare 2 <NA> 00:14:078277 OnlineMidnightSale_Computers_Tablets <NA> 00:07:598574 Battlefield 00:49:26 <NA>8833 joe <NA> 00:27:329017 X box360 concile 00:07:08 <NA>9700 dragon ball z <NA> 00:04:1510612 Forza <NA> 00:46:1611335 modern warfare 3 00:20:18 <NA>11928 clone wars 00:38:56 <NA>12527 Madden 2012 00:32:38 <NA>12818 fifa 2012 00:10:57 <NA>13059 Gears of war 3 <NA> 00:51:3813152 Battlefield 3 00:01:17 <NA>13415 driver <NA> 00:59:2814227 ghost recon <NA> 00:47:3214754 dead island 00:27:18 <NA>15374 Driver san Francisco 00:34:42 <NA>16542 rage <NA> 00:22:1516550 Ico 00:28:55 <NA>17235 Batman arkham city <NA> 00:08:2417768 xbox 00:47:30 <NA>20418 forza 00:44:16 <NA>20468 mortal kombat xbox 00:57:22 <NA>21562 dead island 00:45:16 <NA>21978 Mw3 hardened <NA> 00:33:2722644 saints row 00:38:33 <NA>23556 LaborDay_Refurbished_20110902 00:37:14 <NA>24144 Battlefield bad company 3 00:54:13 <NA>24209 xbox 360 dead island <NA> 00:08:2625200 Dead island 360 00:32:16 <NA>25708 Battlefield 00:50:13 <NA>25776 xbox 360 00:39:54 <NA>26290 batman arkham city 00:29:38 <NA>26486 gears of war 3 00:49:10 <NA>26521 forza 3 00:20:40 <NA>27173 Mw3 00:16:31 <NA>27952 zumba 00:10:32 <NA>28213 fear <NA> 00:27:4028454 fifa 12 00:28:39 <NA>29631 F1 <NA> 00:06:2129816 FIFA 12 <NA> 00:58:5231104 Battle field <NA> 00:25:0131503 20110801_GOW3 <NA> 00:46:3932592 Ps3 00:49:27 <NA>33220 Gears of war 3 00:35:42 <NA>33417 gears of war 3 <NA> 00:26:4033534 hardened <NA> 00:53:2734329 saints row the third 00:11:54 <NA>34355 Final fantasy 00:34:38 <NA>34369 call of duty 00:05:58 <NA>34410 hunting 00:00:14 <NA>34453 Dead island <NA> 00:08:0634662 Batman arkhangelsk <NA> 00:45:5435327 Madden 12 00:28:26 <NA>36421 sims 3 pets 00:14:56 <NA>36508 Batman arkham city <NA> 00:53:1236978 batman <NA> 00:43:2737077 Rocksmith 00:38:29 <NA>37150 Xbox 360 gears of war 3 <NA> 00:27:2838016 Batman arkham city 00:49:44 <NA>38177 forza 4 <NA> 00:07:0838688 Zumba <NA> 00:33:5839647 madden 12 00:52:08 <NA>40801 Wipeout zone <NA> 00:57:4440916 Gears of war 3 <NA> 00:13:4141500 Gears of war 3 <NA> 00:24:02",0,None,2 ,Mon Aug 20 2012 09:24:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2389,/competitions/acm-sf-chapter-hackathon-small,None
/nickkolegraff,Product Data Dictionary,"Hi Everyone, I added an explicit link to the product data dictionary to the data page but wanted to post it here as well [Link]:https://bbyopen.com/documentation/products-api/product-attributes#TableProdRefInfo",0,None,1 Comment,Mon Aug 20 2012 19:04:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2391,/competitions/acm-sf-chapter-hackathon-big,None
/kkevin,Submitting as a team,Is it possible to make prospect submissions as a team?,0,None,1 Comment,Mon Aug 20 2012 19:20:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2392,/competitions/harvard-business-review-vision-statement-prospect,None
/tommorris,Known data flaws?,"Is there a summary of the known flaws in the data? Or is that part of the challenge? :-) For example, 11 of the articles (a small percentage to be sure), have no abstract of any type and 10 of these don't have authors either. If EBSCO and/or HBR already have a list of known problems, that might save everyone rediscovering them on their own.",0,None,5 ,Mon Aug 20 2012 20:35:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2394,/competitions/harvard-business-review-vision-statement-prospect,None
/ajschumacher,What constitutes an entry?,Hi! I don't see any requirements in terms of size or DPI or anything like that; should we consider a visualization entry to be essentially a mockup that would be re-done by graphic designers at HBR? Or should we try to emulate these PDFs or something?,0,None,1 Comment,Mon Aug 20 2012 21:16:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2395,/competitions/harvard-business-review-vision-statement-prospect,None
/ajschumacher,very first steps in R,"This gets things set up with more useful ""abstract"" (of whatever type), ""abstract_type"" (HBR, author, or none), and ""date"" fields, for starters. Anyone have better ways to do these things? hbr <- read.csv('HBR Citations.csv', strip.white=TRUE, as.is=TRUE)nrow(hbr)# 12,751 observations: same as in the alternative Excel files# confirm that there's always at most one of# ABSTRACT or AUTHOR.SUPPLIED.ABSTRACTall(hbr$ABSTRACT=="""" | hbr$AUTHOR.SUPPLIED.ABSTRACT=="""")# and put it in placehbr$abstract <- ifelse(hbr$ABSTRACT!="""",hbr$ABSTRACT,hbr$AUTHOR.SUPPLIED.ABSTRACT)hbr$abstract_type <- ifelse(hbr$ABSTRACT!="""",""HBR"", ifelse(hbr$AUTHOR.SUPPLIED.ABSTRACT!="""",""author"", ""none""))hbr$ABSTRACT <- NULLhbr$AUTHOR.SUPPLIED.ABSTRACT <- NULL# fix up the dates# without this you incorrectly get results like year 2068, etc...hbr$dm <- substr(hbr$SYSTEM..PUB.DATE,1,6)hbr$y <- substr(hbr$SYSTEM..PUB.DATE,8,9)hbr$dmY <- ifelse(as.numeric(hbr$y)>20, paste(hbr$dm,""-19"",hbr$y,sep=""""), paste(hbr$dm,""-20"",hbr$y,sep=""""))hbr$date <- as.Date(hbr$dmY,format=""%d-%b-%Y"")hbr$dm <- NULLhbr$y <- NULLhbr$dmY <-NULLhbr$SYSTEM..PUB.DATE <- NULL",3,None,1 Comment,Tue Aug 21 2012 02:50:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2396,/competitions/harvard-business-review-vision-statement-prospect,None
/gilinson,Key for Donation dataset,"What is the key for the donation dataset? I understand from the FAQ that the ""Donation is unique by the combination of projectid and DonationID"". However, I see duplicates in the dataset based on that key. Below it appears that the package ID (which is sometimes null) is the only difference between the lines. Am I misunderstanding something? An example duplicate: Line 14479: 101,290563,1165002,2010-08-20 00:00:00,500013,2425,10, ,15317,3314,Candidate,Congress,1710,1,2 Line 14489: 101,290563,1165002,2010-08-20 00:00:00,500013,2425,10, ,15317,3314,Candidate,Congress,1715,1,2",0,None,3 ,Tue Aug 21 2012 05:16:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2397,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,5th
/ottoottinger,Data Visualizer Looking for Team,"I'm new to Kaggle, but not new to data visualization. I run a [Link]:http://www.curatedcontent.com.au/ in Australia and I'm looking for a team with analytical skills, who needs an information designer. I'm able to take files from R and design in Illustrator, Photoshop, etc.",0,None,2 ,Tue Aug 21 2012 07:12:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2398,/competitions/harvard-business-review-vision-statement-prospect,None
/rcdm8447,what is the exact meaning of ACCESSION NUMBER?,is it the number of times an article was accessed on the internet site? or is it the number of times the article was printed? or does it mean something completely different?,0,None,2 ,Tue Aug 21 2012 15:01:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2399,/competitions/harvard-business-review-vision-statement-prospect,None
/benhamner,Welcome,"We're very excited to launch this competition with StackExchange! I use StackOverflow and StackExchange on a daily basis, and I'm sure many of you do the same as well. Let's see if we can help make the product even better by predicting whether a question is going to be closed. Some [Link]:https://github.com/benhamner/Stack-Overflow-Competition is up on github to help you get started. Good luck, and please let us know if you have any questions!",0,None,1 Comment,Tue Aug 21 2012 18:13:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2400,/competitions/predict-closed-questions-on-stack-overflow,None
/del=730a0b6481f31fc9,"Broken link, missing Submission Instructions",The Submission Instructions link on https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow/details/evaluation is broken - goes to 404 page,0,None,1 Comment,Tue Aug 21 2012 20:31:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2402,/competitions/predict-closed-questions-on-stack-overflow,None
/dominic1,What programming language?,"I am under the impression the objective is to build an algorithm to auto-determine submissions and mark them as either insulting or non. If so, what programming language is to be used? Am I free to chose, myself?",0,None,4 ,Tue Aug 21 2012 21:46:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2403,/competitions/detecting-insults-in-social-commentary,None
/akau53741,Sample Data file csv flagged as trojan by forefront,When opening the 7zip archive for the sample data the csv file comes up as a trojan in forefront security. Anyone else encountering this?,0,None,3 ,Tue Aug 21 2012 21:54:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2404,/competitions/predict-closed-questions-on-stack-overflow,None
/randomforestfanatic,Character Hygiene?,"I've noticed alot of bizarre characters in the training and test data sets: patterns such as ""\\n"" or ""\xao"". I'm assuming (maybe incorrectly :) ) that these are special characters or characters coming from the formatting of the text itself (newlines, smiley faces, etc). Is that true? Also, does anyone have a good dictionary of what these terms mean? Or, even a list containing most of them?",0,None,3 ,Tue Aug 21 2012 23:00:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2405,/competitions/detecting-insults-in-social-commentary,None
/rkirana,"currently 20th place, want to team up ",currently 20th position on leaderboard. Solution uses R exclusively Is there anyone with a different approach (not using R) that wants to team up. Please post your email id so that I can contact you,0,None,5 ,Tue Aug 21 2012 23:53:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2406,/competitions/emc-data-science,19th
/joycenv,Updated Training and Test Data,"New data files are now [Link]:https://www.kaggle.com/c/MerckActivity/data. Molecule names and descriptors names have been simplified to no longer use special characters and thus avoid file reading problems. Also, files should contain only unique molecules and unique descriptors within each data set. As described previously, some molecules and descriptors will appear in multiple data sets. Please download the new data to continue participating in the competition. As the molecule names have changed, previously generated submission files will no longer work. We apologize for the inconvenience, however the data should be easier to work with now. Good luck to everyone!",1,bronze,6 ,Wed Aug 22 2012 03:25:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2407,/competitions/MerckActivity,None
/ignorant,Evaluation,"For collaboration filtering issues, usually the evaluation means that some items are given and others have to be predicted. But without any given items, traditional collaborative filtering prediction is not possible. I am asking this because required reading suggests CF. We can use other algorithms of course but I wanted to check to see if this was intentional.",0,None,5 ,Wed Aug 22 2012 03:39:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2408,/competitions/acm-sf-chapter-hackathon-small,56th
/luistp001,About Final model submission,"Hello, I have a question about the final model submission. By August 29, do we only need to submit the code needed to generate the scores for the private leaderboard or do we also have to submit all the code used to train the final model?",0,None,10 ,Wed Aug 22 2012 04:35:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2409,/competitions/asap-sas,2nd
/alkhwarizmi,Different Activity types,"I am a little confused by the following statement in the description of the data: Column 2: Activity. Note that these are raw activity values and different data sets can have activity measured in different units. Does this mean we are studying different types of activity? If so, I would fit 15 separate models. The benchmark model fits one model to all of them. If these are not separate types of activity, could we please have the units so we can convert them all to the same units? Thanks.",0,None,6 ,Wed Aug 22 2012 05:15:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2410,/competitions/MerckActivity,None
/melisgl,Final model?,"The timeline says that the deadline to submit the final model is October 9. Since the Final Training Set and the Private Leaderboard Set are released later, obviously the model must be retrained and the new results submitted. What keeps competitors from getting the right results from the stackoverflow site? How is a model submitted, anyway? The submissions are data files, not models.",0,None,6 ,Wed Aug 22 2012 11:30:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2411,/competitions/predict-closed-questions-on-stack-overflow,1st
/bleuf1shi,programming language,"It doesn't matter which language we use to create the model and generate the classifiers, right? I noticed that all the example's are written in python, but that doesn't mean that we need to code the solution in python, correct?",0,None,1 Comment,Wed Aug 22 2012 12:24:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2412,/competitions/predict-closed-questions-on-stack-overflow,None
/aiolli,my solution to the MSD challenge..,"Hi everybody, for the winning solution I basically adopted a item-based collaborative filtering approach with some ""crucial"" modification: 1) invented a new parametric similarity between songs (or users) which lead to 0.16665 on leaderboard 2) final calibration of the scores for ranking (0.17712 on leaderboard) 3) ranking aggregation with a user-similarity based predictor (roughly 0.178 on leaderboard) As you can see, the first two were crucial for the high scoring! You can find a quite exaustive description of the method in this paper: F. Aiolli, A Preliminary Study on a Recommender System for the Million Songs Dataset Challenge Preference Learning: Problems and Applications in AI (PL-12), ECAI-12 Workshop, Montpellier http://www.ke.tu-darmstadt.de/events/PL-12/papers/08-aiolli.pdf also available at my web: page http://www.math.unipd.it/~aiolli/paperi.html Unfortunately, the calibration step is not fully documented and it is not discussed in the paper above.I am just preparing a new paper which describes the whole method (see the code referred below to have a rough idea of this very simple method). I also published (a cleaned version of) the code I used for the winning submissions. It can also be used for validation. Hope it works!! There are three source files: 1) MSD_util.py, MSD utility functions 2) MSD_rec.py, MSD implementation of the basic classes: Pred (predictor) and Reco (recommender) 3) MSD_subm_rec.py, Example of a script for the computation of user recommendations The code is not optimized and probably can be made far more efficient. I apologize for the code which is not commented appropriately. I hope it is not too criptic anyway. It might be easier to understand the code if you previously read the paper :) I am very busy in this period and not sure I can maintain and correct the code in the future. However, I would appreciate comments and suggestions. Also, I am very courious to hear about other people' solutions.. Cheers, -- Fabio.",15,silver,12 ,Wed Aug 22 2012 15:46:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2413,/competitions/msdchallenge,1st
/stephencunliffe,Algorithm or Result or Both?,"I'm brand new to kaggle, inspired by the stackexchange blog post and the prospect of making stackoverflow better. I get the overall goal... but I'm a bit confused by the contest and what the ""gist"" of this challenge is. Is the idea to come up with a program that can be run against the question content before it is accepted and posted to the front page? (e.g. the Algorithm) or just generate the ""ranking"" of a particular known question? (e.g. the Result)... or both? I'd like to participate (even if just to see if I can accomplish a respectable result) but I'd also like to enter the contest if I can.",0,None,1 Comment,Wed Aug 22 2012 22:03:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2414,/competitions/predict-closed-questions-on-stack-overflow,None
/kkevin,Problem with text from abstracts,"I've noticed that some of the abstracts have been incorrectly paired with the wrong article, (e.g. An abstract from 1951 talks about how companies are using the Internet to set prices). Title: Looking Around. Author: Marshall, Martin Date/Vol: Jul-51,29-4 Abstract: Companies generally have set prices on the Internet in two ways. Many start-ups have offered untenably low prices in a rush to capture first-mover advantage. Many incumbents have simply charged the same prices on-line as they do off-line.... I've looked on EBSCO and the abstract shown there makes much more sense. It's hard to estimate the number of entries have this problem, but have seen this problem multiple times just from scanning throught the datafile. Is there anyone who has noticed this issue, and is it possible to doublecheck the scripts used to extract the datafile?",1,bronze,6 ,Thu Aug 23 2012 02:37:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2415,/competitions/harvard-business-review-vision-statement-prospect,None
/joexjmmvhm,Training on test data,"Usually training on test data is a no no, but I can't find anything that explicitly states not to use the test data in training, and naturally most algorithms will perform better on the test data if you also train on it. This is my 1st Kaggle challenge and I am starting really late, so I would rather ask a silly question than spend too much time trying to figure this one question thats perplexing me.",0,None,1 Comment,Thu Aug 23 2012 04:04:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2416,/competitions/job-recommendation,None
/dirknbr,data page,"here are 2 ideas to raise participation: - next to each competition state how big the zipped data is - on each data page have a table or picture of the top 10 rows of the key tables, so it's much easier to see what the data looks like",0,None,1 Comment,Thu Aug 23 2012 11:33:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2417,None,None
/conradlee,"Ambiguous instructions: should submissions have 50,478 or 50,477 rows?","The ""submission instructions"" page state: A complete submission file will have 50,478 rows (including a header row). Meanwhile, on the submission page itself, the instructions state Your entry must have exactly 50,477 rows Please clear this up. This kind of problem seems to come up in every Kaggle competition. These little ambiguities could end of drastically affecting scores--and waste everyone's time! This is a general problem in Kaggle competitions, because the same instructions are often listed in multiple places. Why not just have one place for each piece of information---then conflicts are not possible! For example, why is there a separate ""submission instructions"" page and additional instructions on the submissions page? Why are the menus for each competition nested?",0,None,1 Comment,Thu Aug 23 2012 11:33:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2418,/competitions/MerckActivity,197th
/dirknbr,formula,"there seems to be a bug with rendering the latex style formulae, my browser freezes for seconds and then it displayes. dirk",0,None,3 ,Thu Aug 23 2012 12:39:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2419,None,None
/cclark,Get a sneak peek of new Kaggle functionality! We need your feedback!,"Hey everyone! As we work on new functionality for Kaggle, we're always looking for users to give us early feedback and make sure we're delivering features you care about and will use. If you'd be interested in helping us out and influencing how Kaggle develops, please reply here. I'll get in touch as we look for feedback and schedule time for a quick phone call and screen-shares. I'll keep this forum topic open and hopefully build up a nice long list of users who are interested. There's no obligation, so if I contact you and you just can't spare any time that week, no worries. In the short term, we're about to revamp the competition landing pages to make them a lot more intuitive and usable, and we're going to release functionality that will let users get in touch with one another directly. We need feedback on both so just reply below to say you're interested, and I'll shoot you an email (you don't need to post your email address - we have it on file from when you registered). Thanks! -Chris Product Manager, Kaggle",0,None,15 ,Thu Aug 23 2012 19:02:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2420,None,None
/zachmayer,multiclass logloss in R,"Here's the code I'm using, but the result doesn't quiete match the [Link]:http://www.kaggle.com/wiki/MultiClassLogLoss: LogLoss <- function(actual, predicted, eps=1e-15) { predicted <- pmin(pmax(predicted, eps), 1-eps) -1/length(actual)*(sum(actual*log(predicted)+(1-actual)*log(1-predicted)))}a <- matrix(c(1,1,1,0,0,0,0,0,0,1,1,1), ncol=2)p <- matrix(c(0.5, 0.1, 0.01, 0.9, 0.75, 0.001, 0.5, 0.9, 0.99, 0.2, 0.25, 0.999), ncol=2)LogLoss(a,p)stopifnot(1.881797068998267==LogLoss(a,p)) Can anyone spot my error?",0,None,4 ,Thu Aug 23 2012 21:53:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2421,/competitions/predict-closed-questions-on-stack-overflow,None
/matthewmurdoch,Misleading data description,"The Data description says: The public leaderboard data contains all of the above fields, except for the target field OpenStatus. However it also doesn't contain the 'PostClosedDate' (understandably!) Also the order of the fields isn't as given in either the leaderboard or training datasets. The 'PostId' is always the first field and exists in the Input data set (i.e. isn't just Additional Data as suggested).",0,None,1 Comment,Thu Aug 23 2012 23:02:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2423,/competitions/predict-closed-questions-on-stack-overflow,52nd
/matthewmurdoch,Where is 'public_leaderboard_set.csv',"The 'Submission Instructions' say: The predictions should be ordered in the same order as they are in public_leaderboard_set.csv Where can I find this file (I couldn't see it in the Data Files download area and wasn't in 'public_leaderboard.7z')? Thanks, MM",0,None,2 ,Thu Aug 23 2012 23:25:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2424,/competitions/predict-closed-questions-on-stack-overflow,52nd
/david54957,Can't open some csv files,"I am not sure why but I can't open, for example, train_sample.csv. When I tried, any editor said it it can;t access the file and my antivirus program alerted the file has virus. Anybody has same problem?",0,None,3 ,Fri Aug 24 2012 04:20:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2427,/competitions/predict-closed-questions-on-stack-overflow,None
/nickkolegraff,Sponsorship.  BigDataR Linux and AWS Will help fund your competition,"Hi Everyone, Data Science Linux has teamed up with AWS to give funding to people interested in getting started with this competition using Data Science Linux on AWS. I've put together some tutorials on how to get started on the website: http://datasciencelinux.com tweet me or send an email if you want to get some aws credits, however, you'll have to promise me you'll use the credits for the competition and submit SOMETHING. @nickkolegraff nick@bigdatarlinux.com (this email is correct)",1,bronze,4 ,Fri Aug 24 2012 06:01:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2428,/competitions/acm-sf-chapter-hackathon-big,None
/ashwinpurohit,What is the public leaderboard?,"Where on Stack Overflow is the ""pretty"" version of this public leaderboard? [Link]:http://stackoverflow.com/questions?sort=votes?",0,None,4 ,Fri Aug 24 2012 08:46:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2430,/competitions/predict-closed-questions-on-stack-overflow,None
/calabiyau,Data Verification,"I was just looking at the data to try and understand what it all means and run very basic stats, when I found that I could not figure out what the DaysInHospital field was telling me. I have all the claims filed by the member, but the claims do not match the specified days in hospital. For example, member 4733968 has no claims in year2 - he has only 3 claims and all are year 1, but his field in DaysInHospital_Y2 (ln 53587: ""4733968,0,1"") specifies he was in a hospital for 1 day. His claims are all office visits with no LengthOfStay. Or member 20618066 who has no claims in year 2, but she is noted to have been in a hospital for 2 days in year 2. Or 14723353 who has Y3 down for 1 day, but no claims with LengthOfStay > 0. Or 20618066, who has no claims in year 2, but has DaysInHospital_Y2 = 2. She does have 1 claim with 1 day in year 1. Am I missing something here? None of these members have truncated claims, so theoretically I should have all the data. According to my quick check of comparing the sum of claims' LengthOfStay vs DaysInHospital.Y2 and .Y3, there are about 24000 incorrect or missing records, around 12000 for each year. This is assuming a hospital stay is a LengthOfStay > 0 && Place of Service is Inpatient/Outpatient/Urgent/Office/GeneralPractice (i.e. not an ambulance, home, lab, or other). There are quite a few that have doubly represented days of stay, such as a Surgery claim and an Internal claim, with DSFS in the same group. I assume those are just two separate claims for the same visit, basically, but it would be nice if there were some way to know that. And since the data appears incomplete, it's hard to know if that's true or the DaysInHospital file is just wrong. But even discounting those double-claim stays, there are quite a few just inaccurate reports in daysinhospital_y2 and y3 or missing claim data from what I can tell. Anyone have any input here?",0,None,1 Comment,Fri Aug 24 2012 11:05:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2431,/competitions/hhp,None
/muthujothi,"Feature ""OwnerUndeletedAnswerCountAtPostTime""",What exactly does the feature OwnerUndeletedAnswerCountAtPostTime convey? Is it the count of the answers answered by the user that still remains undeleted?,0,None,1 Comment,Fri Aug 24 2012 14:48:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2432,/competitions/predict-closed-questions-on-stack-overflow,None
/bobs52906,How the training and test sets were constructed.,"For each activity, the training/test set split is done by dates of testing. That is, the training set consists of compounds assayed by a certain date, and the test set consists of compounds tested after that date. Therefore it is expected that the distribution of descriptors will not necessarily be the same between the training and test sets. We find ""time-split"" validation is a much more realistic simulation of true prospective prediction in terms of R2. We find construction of test sets by random sampling gives R2's that are much too optimistic. That is what makes these data sets more of a challenge. I will upload a cartoon to illustrate. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/3530/kaggle_scheme.png",4,bronze,4 ,Fri Aug 24 2012 16:53:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2433,/competitions/MerckActivity,None
/luistp001,About overfitting,"To the experienced Kaggle winners, Any advice to avoid overfitting the public leaderboard ? For now, I will trust in intuition and luck. Thanks",0,None,2 ,Fri Aug 24 2012 20:20:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2435,/competitions/asap-sas,2nd
/pythia,post deadline submission,Is it possible to submit interesting findings after the deadline?,0,None,5 ,Fri Aug 24 2012 21:24:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2436,/competitions/harvard-business-review-vision-statement-prospect,None
/andysloane,Training/testing label accuracy?,"Are the datasets used for evaluation hand-labelled, or are they drawn from the same population as the training dataset? It seems clear from the stackoverflow blog post that this is a raw data dump, and there are plenty of examples which should have been closed but were not, and some which shouldn't have been closed but were. Also, intuitively it's pretty hard to tell the difference between off-topic and non-constructive comments but there apparently are some differences in the data. My classifier finds things which are labeled open but probably fit the definition of non-constructive, and is penalized -8 or so for its trouble. The reason I ask is because the evaluation function we're using strongly penalizes confident decisions that don't agree with the label. If the label is wrong, you're better off hedging your bets slightly and leaving a little bit of weight on 'open'. I guess in some sense that's already built-in to the problem: P(closed) = P(should be closed) * P(was actually moderated), but we probably want to learn the ""should be closed"" probability instead in order to have a useful system. If you either hand-curate the training data by fixing up labels which are obviously wrong, or find an automatic method to do that (e.g. a hierarchical model with a strong but finite prior on the labels being true), you might have a more accurate classifier at the expense (for this contest) of a bigger penalty for badly labeled target data.",5,bronze,3 ,Sat Aug 25 2012 00:44:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2437,/competitions/predict-closed-questions-on-stack-overflow,37th
/andysloane,scientific notation supported in submission?,"just checking: if I submit my csv with: 12345,5.52544e-05,1.08798e-05,6.57565e-07,0.999794,0.000138863 will that parse correctly? I'm guessing it's fine. it'd be cool if you could just submit the log-probabilities instead.",0,None,2 ,Sat Aug 25 2012 02:30:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2438,/competitions/predict-closed-questions-on-stack-overflow,37th
/matthewmurdoch,PostCreationDate and OwnerCreationDate,"I have been assuming that the PostCreationDate would always be after (or possibly at the same time as) the OwnerCreationDate. This isn't always the case in the data, however. The first example in 'train.csv' being PostId 23 which has an OwnerCreationDate of '01/08/2008 13:25:15' and a PostCreationDate over an hour earlier (at '01/08/2008 12:09:41')... Please could you clarify the meaning of these fields?",0,None,5 ,Sat Aug 25 2012 11:05:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2439,/competitions/predict-closed-questions-on-stack-overflow,52nd
/andreylepekhin,Which data encoding is used?,"Hello! Just to be absolutely clear with that, can someone please tell me what encoding is being used in all data .csv files? (I assume it's UTF-8)",0,None,1 Comment,Sat Aug 25 2012 13:06:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2440,/competitions/predict-closed-questions-on-stack-overflow,None
/macias,How to download 6GB file with guaranteed interruption?,"Hello, Embarassing question, but here we go ;-) how to download that 6GB file? My problem is, I am not able to download it in one pass (it is technical issue, and there is nothing I can do about it) -- and since server adds countermeasures against free download all my standard methods so far failed. I will be grateful for hints (my OS is Linux). Kind regards,",0,None,6 ,Sat Aug 25 2012 18:38:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2441,/competitions/predict-closed-questions-on-stack-overflow,None
/steffen,Seeking advice on downloading large files,"After I have successfully downloaded some of the smaller files (< 1 GB) I have finally tried to load demo_per_formatted. Unfortunately the download has been stopped due to unknown reasons (at 85 %, which already has taken approximately 4 hours) and I was not able to continue it using the already loaded parts. Searching the web I have found a tool called wxDownloadFast (http://dfast.sourceforge.net/) which seems to be able to split the data in multiple parts and hence make the download more reliable. Unfortunately I was not able to make it work, I guess because of the internal referral of the download link. This is what I have tried that far. Does anyone know an alternative ? How do you download files that big without an university fiber glass connection ?",0,None,2 ,Sun Aug 26 2012 00:39:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2442,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,None
/ashwinpurohit,Do contest winners reveal methods?,"I watched the Kaggle video. Let's say I submit a good-but-not-stellar entry into a competition that doesn't place. Will I get to learn the techniques used by winners, to teach me some ML? Or is it at the discretion of StackOverflow/competitors to reveal their methods?",0,None,2 ,Sun Aug 26 2012 06:58:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2443,/competitions/predict-closed-questions-on-stack-overflow,None
/ashwinpurohit,Timeline,"Tuesday, August 21, 2012: Launch of Public Competition; Release of Training and Validation Data Sets Tuesday, October 9, 2012: Deadline to Submit Final Models. Public leaderboard frozen Wednesday, October 10 - Tuesday, October 23: Private leaderboard data collected Thursday, October 24: New training set and private leaderboard set released Thursday, November 1: Deadline to submit private leaderboard predictions 1) When you submit a final model (by the way, is that just a bunch of code?), is that merely to test that you haven't hand-made your public_leaderboard predictions? 2) From October 9 to November 1, can a competitor refine a model while waiting for the new training set and private leaderboard, and thus submit a different model than at the October 9 deadline? 3) Private leaderboard means private to everyone but the competitor admins, or private including other competitors but not the general public?",0,None,10 ,Sun Aug 26 2012 12:52:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2444,/competitions/predict-closed-questions-on-stack-overflow,None
/aravind2,Peer Voting,"Hi, A quick question about the peer voting system: Submissions that are made very close to the deadline may not get that many peer votes. Since the top 10 peer voted ideas is a strict cutoff, submissions that come in later might be at a slight disadvantage (irrespective of the quality of the submission) Any thoughts from the organizers on this design aspect of this competition? Thanks, -Aravind. [a late submittter :) ]",0,None,4 ,Sun Aug 26 2012 14:05:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2445,/competitions/harvard-business-review-vision-statement-prospect,None
/mariam,Text representation,"Hi, I am used to appling ML algorithms on numbers, but never with words. Is there a way to represent text as numbers? thanks",0,None,4 ,Sun Aug 26 2012 18:01:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2446,/competitions/predict-closed-questions-on-stack-overflow,None
/markw707,Can I split Ques. 2 Polymer Investigation into 2 questions for students taking the test and for grading??,"Since there are two questions in it: a. Draw a conclusion, and b. Describe two improvements. Can I split it into 2 questions for testing and grading purposes, then combine the two scores as the Ques. 2 result before submitting to Kagge? Thank you.",0,None,3 ,Sun Aug 26 2012 19:54:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2447,/competitions/asap-sas,None
/jaspermattsson,Using external data - is it permitted?,"Can external data, such as a dictionaries, ontologies etc., be used in the competition? Where is the line on what can be used and what cannot?",0,None,1 Comment,Sun Aug 26 2012 23:05:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2448,/competitions/predict-closed-questions-on-stack-overflow,None
/elanelango,Eligibility to participate,"Hi, Is a person in the USA under H1b visa eligible to participate in this competition and win prize money? Thanks, Elan.",0,None,1 Comment,Sun Aug 26 2012 23:55:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2449,/competitions/predict-closed-questions-on-stack-overflow,None
/ordurio,possibility to use test data for training ?,"Hi, During the final evaluation: is the prediction model allowed to be trained using unlabeled test evaluation dataset ? for the moment it is possible to do so with the unlabeled leaderboard data, since they are available all at once, so I am curious about the final evaluation procedure :-) thanks!",0,None,4 ,Mon Aug 27 2012 00:42:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2451,/competitions/predict-closed-questions-on-stack-overflow,154th
/mirkot,Duplicate abstracts,"Not that it matters much, but this list is more for HBR people so they can fix them eventually. The following entries have duplicate abstracts: 1509, 1510 2160, 2161 2653, 8677 2657, 8680 2037, 7688 8071, 9011",0,None,2 ,Mon Aug 27 2012 04:47:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2452,/competitions/harvard-business-review-vision-statement-prospect,None
/eonum8342,Number of distinct providers/vendors,"As I have included the number of distinct providers/vendors for a member in my models, the accuracy on my validation or out of bag sets dramatically increased (delta RMSLE of -0.02). However when I submitted these models, they performed very badly on the leaderboard data (delta RMSLE +0.02). Normalizing these variables for each year didn't help to improve the discrepancy between validation and leaderboard data. Has anyone else observed a similar behaviour with these predictors? Is there an explanation for this or am I making a mistake?",0,None,1 Comment,Mon Aug 27 2012 09:20:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2453,/competitions/hhp,5th
/bric55263,Missing Text?,"Some training material appear to contain unfinished sentences, yet they obtain high scores: 14 1 2 2 In order ... 29 1 3 3 In order ... 99 1 3 3 The ... 209 1 3 3 In order to ... ... 810 1 3 3 In order ... ... 907 1 3 3 So ... ...",0,None,1 Comment,Mon Aug 27 2012 10:12:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2454,/competitions/asap-sas,48th
/orangepips,training-sample.csv Parsing Problems,I've tried unsuccessfully importing in MySQL directly and also read/writing with OpenCSV in Java. Anyone else tried and succeeded? Should I just stop with those approaches and munge it with Python's csv module instead? My first two approaches both choke on BodyMarkdown. I'm working on OSX and ran the file through dos2unix.,0,None,6 ,Mon Aug 27 2012 15:08:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2455,/competitions/predict-closed-questions-on-stack-overflow,96th
/mariam,Publication,"Hi, Would I be allowed to report my method and results in a conference paper? Thanks",0,None,2 ,Mon Aug 27 2012 18:38:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2456,/competitions/predict-closed-questions-on-stack-overflow,None
/smitswil,Anyone using MATLAB Random Forest Packages?,"I am using the MATLAB random forest packages, and cannot seem to get similar scores as the R random forest benchmark. MATLAB predict function outputs a score array, I am then merely normalzing the score array to 0 to 1. If anyoen else is using MATLAB would appreciate bouncing thoughts off of.",0,None,3 ,Mon Aug 27 2012 20:16:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2458,/competitions/pf2012-diabetes,137th
/iguyon,"ICPR pre-register and reserve hotel NOW, pay later","If you intend to possibly attend the ICPR workshop on the challenge, the demonstration competition, and/or the conference, ICPR informs us that you need to register as soon as possible so they can reserve enough room space and hotel rooms. Please go to https://sites.google.com/a/chalearn.org/gesturechallenge/dissemination/icpr2012 for instructions. You can register/reserve now and pay later. The deadline for payment is October 31, but the hotels fill up quickly.",0,None,2 ,Mon Aug 27 2012 22:02:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2459,/competitions/GestureChallenge2,None
/benhamner,External Data,"As the [Link]:https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow/details/rulesstate, [quote] You are free to use publicly available dictionaries and text corpora in this competition. If you would like to use any other external data source, verify that this is permissible by posting in the forums. Please use this forum thread to check whether additional external data is permissible. Also, feel free to let other competitors know what text corpora or dictionaries you have found useful here!",0,None,3 ,Mon Aug 27 2012 23:13:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2467,/competitions/predict-closed-questions-on-stack-overflow,None
/broham,R throwing memory error?,"I am trying to run the knn_benchmark.r example from the [Link]:https://www.kaggle.com/c/digit-recognizer competition, but I have been getting the following error: results <- (0:9)[knn(train, test, labels, k = 10, algorithm=""cover_tree"")] Error: cannot allocate vector of size 251.2 Mb When I run memory.limit() it returns 1535. My machine has 4 gigs of ram total. Is there something I can do to get around this error?",0,None,2 ,Mon Aug 27 2012 23:22:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2470,None,None
/adamroth,How much leeway is there in terms of approach?,"I've got little to no experience with/knowledge of machine learning, so please bear with me if this seems like a stupid or irrelevant question. Basically what I'm wondering is how much freedom we have in terms of the approach used to solve this challenge. Are machine learning algorithms the only admissible solutions, or will any approach which meets the requirements of the challenge be considered? As I understand it, the requirements of this competition are to produce some programmatic solution which accepts as input a stackoverflow question and some metadata about it and produces as output an estimated probability of how likely it is that the question will be closed (and for what reason); we may use the training data as a reference while building out this solution. This requirement would not seem, in and of itself, to limit solutions strictly to machine learning based approaches. But does it? And if it doesn't, is there any point at which a solution becomes too far out there to be elligible. For instance, I could imagine a simple solution that just farms the work out to something like Mechanical Turk, but I think that would probably *not* be considered a valid approach (because 1) it requires human input to make the determination of how likely a question is to be banned and 2) incurs a fee for each question that is evaluated). So if a line in the sand exists, where is it? Is machine learning the only valid elligible approach to solving the problem, or is any algorithmic approach that does not rely upon human input/intervention (such as Mechanical Turk) considered valid as well?",0,None,8 ,Tue Aug 28 2012 01:29:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2471,/competitions/predict-closed-questions-on-stack-overflow,83rd
/jjjjjj,Is the last final submission due on Tue 8:00PM EST or Wed 8:00 PM EST?,Is the last final submission due on Tue 8:00PM EST or Wed 8:00 PM EST? It's not clear from the timeline. Thanks,1,bronze,4 ,Tue Aug 28 2012 01:54:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2472,/competitions/asap-sas,7th
/mariam,Best pc specs,I want to buy a new high performance desktop pc. I want to use it for running machine learning algorithms. Would appreciate of you can suggest the specs i should look for.thanks,0,None,11 ,Tue Aug 28 2012 06:02:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2474,None,None
/hackinghabits,Class distribution,Can anyone confirm this? Does train.csv have the following class distributions. open questions: 3300392 closed questions: 70136 The reason for my confusion is from the fact that the sample-train.csv has the exact same number (70136) of data points.,0,None,4 ,Tue Aug 28 2012 07:40:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2475,/competitions/predict-closed-questions-on-stack-overflow,None
/roulinir,Ratio of insulting comments?,"Maybe it's a trivial question, but I guess it's quite important - can we assume anything on the ratio of insulting comments in the final test corpus? Will it be similar to what can be found in training set (2.8 non insulting comments for every insulting comment), or maybe fifty-fifty?",0,None,1 Comment,Tue Aug 28 2012 11:02:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2476,/competitions/detecting-insults-in-social-commentary,26th
/srowen,Why bother with amount2 if we're just predicting rank?,"The contest suggests we're predicting an amount donated -- well, a small transformation thereof. But the evaluation metric suggests that these values are just used to rank predictions. The top 75% are taken, and their actual donations inform the score of the solution. If so, then is it actually necessary to predict an amount donated? Seems like any function that ranks donors by expected amount donated is sufficient. That's good news for some approaches. But then I wonder why we bother with amount2, which is a transformation of amount which would not affect this ordering -- and if only ordering matters in the solution, then there would be no real point in computing amount2 vs just using amount.",0,None,3 ,Tue Aug 28 2012 14:17:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2477,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,21st
/zygmunt,Beating the benchmark,"Having achieved TOP 5 result at the moment, I decided to publish some insight I gained in the process. I hope you find it interesting. [Link]:http://fastml.com/kaggle-job-recommendation-challenge/",3,bronze,2 ,Tue Aug 28 2012 16:09:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2478,/competitions/job-recommendation,30th
/alexandrekowalczyk,Exception when running basic_benchmark.py,"I try to make examples work on my computer but I have a problem when running the basic benchmark What can be the cause of this exception? Regards, C:\Users\A\Documents\GitHub\Stack-Overflow-Competition>C:\Python32\python.exe basic_benchmark.pyReading the dataExtracting featuresTraining the modelTraceback (most recent call last): File ""C:\Python32\lib\site-packages\sklearn\externals\joblib\parallel.py"", line 401, in retrieve self._output.append(job.get()) File ""C:\Python32\lib\multiprocessing\pool.py"", line 556, in get raise self._valuesklearn.externals.joblib.my_exceptions.TransportableException: TransportableException___________________________________________________________________________TypeError Tue Aug 28 16:43:45 2012PID: 6064 Python 3.2.3: C:\Python32\python.exe...........................................................................C:\Python32\lib\site-packages\sklearn\ensemble\forest.py in _parallel_build_trees(n_trees=13.5, forest=RandomForestClassifier(bootstrap=True, compute_i...ate object at 0x04730F40>, verbose=2), X=array([[ 495., 4., 2., ...1., 3., 71., 4793.]]), y=0 31 32 33 44 35 3... 0140271 3Name: OpenStatus, Length: 140272, sample_mask=None, X_argsorted=None, seed=834664036, verbose=2) 58 sample_mask, X_argsorted, seed, verbose): 59 """"""Private function used to build a batch of trees within a job."""""" 60 random_state = check_random_state(seed) 61 trees = [] 62---> 63 for i in range(n_trees): i = undefined n_trees = 13.5 64 if verbose > 1: 65 print((""building tree %d of %d"" % (i + 1, n_trees))) 66 seed = random_state.randint(MAX_INT) 67TypeError: 'float' object cannot be interpreted as an integer___________________________________________________________________________During handling of the above exception, another exception occurred:Traceback (most recent call last): File ""basic_benchmark.py"", line 43, in <module> main() File ""basic_benchmark.py"", line 27, in main rf.fit(fea, data[""OpenStatus""]) File ""C:\Python32\lib\site-packages\sklearn\ensemble\forest.py"", line 250, infit for i in range(n_jobs)) File ""C:\Python32\lib\site-packages\sklearn\externals\joblib\parallel.py"", line 475, in __call__ self.retrieve() File ""C:\Python32\lib\site-packages\sklearn\externals\joblib\parallel.py"", line 427, in retrieve raise exception_type(report)sklearn.externals.joblib.my_exceptions.JoblibTypeError",0,None,4 ,Tue Aug 28 2012 16:50:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2479,/competitions/predict-closed-questions-on-stack-overflow,None
/benhamner,Visualization Prospect,"I'm excited to announce that the Hewlett Foundation is putting an extra $1,000 in prize money to a [Link]:https://www.kaggle.com/c/asap-sas/prospector! The contest will be open for submissions on Thursday, August 30. If you've created any insightful or compelling visualizations over the course of the contest, or have any great ideas, please submit them! See the [Link]:https://www.kaggle.com/c/MusicHackathon/prospector and the [Link]:https://www.kaggle.com/c/harvard-business-review-vision-statement-prospect/prospector/ for the results of past visualization contests.",0,None,19 ,Tue Aug 28 2012 20:56:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2482,/competitions/asap-sas,None
/zachmayer,"""cap_and_update_priors"" in the benchmark code","At first glance, the random forest benchmark seems very straightforward: rf.fit(fea, data[""OpenStatus""]) data = cu.get_dataframe(test_file) test_features = features.extract_features(feature_names, data) probs = rf.predict_proba(test_features) However, my own random forest (implemented in R) has nowhere near the same performance, and this performance gap is probably due to this piece of code: print(""Calculating priors and updating posteriors"") new_priors = cu.get_priors(full_train_file) old_priors = cu.get_priors(train_file) probs = cu.cap_and_update_priors(old_priors, probs, new_priors, 0.001) I'm not very familiar with python. Could someone please explain what this block of code does, and perhaps help me implement it in R?",0,None,7 ,Tue Aug 28 2012 23:53:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2485,/competitions/predict-closed-questions-on-stack-overflow,None
/tanelp,Post-Mortem,"Public leaderboard gives you a good estimate of how good your model is. For visualizing contest the sum of upvotes from Kaggle members is the equivalent to the leaderboard and it is harder to estimate why your work was not good enough. This was my entry to HBR visualizing contest. 6 kagglers upvoted my visualization (17.-20. place). Unfortunately I am so biased and cannot assess the true value of my own visualization (which I think is great of course :D), therefore I ask you to give me some feedback. Could you tell me how to make the visualization better or why it wasn't good enough for your upvote.",0,None,7 ,Tue Aug 28 2012 23:54:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2486,/competitions/harvard-business-review-vision-statement-prospect,None
/yliu318,License of these datasets,"Hi, I would like to know whether these datasets can bu used for research? And what are their licenses? Thanks, Yan",0,None,2 ,Wed Aug 29 2012 05:59:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2490,/competitions/acm-sf-chapter-hackathon-big,None
/mahdi6,"Some straightforward descriptions on using ""data"" files","Hey everyone, well, I'm pretty new here, and I'm not a professional in this area also, however I've been spending the recent few years on implimanting AI in some little and simple projects of my own. I found Kaggle and this contest accidentally, however I'm wondering to join the competition and having fun while learning something with you guys. :) My misunderstood, which I'm sure sounds so beginners like questions - which I am!, is which 'data' files should I use on my algorithm and when? For example we have 'train' file, plus 'train-sample' and 'public_leaderboard'. In my mind, I have to build the way to predict whatever wanted, then I should provide some amount of real data for the input, and see what's gonna happenes then. By real data I mean all the open and closed questions plus some other useful data like users' account information and so on, for a particular time for example first week of August. The algorithm will provide some output which you can 'compare' with the real data in the next week to see how was the result accurate, right? ... Here we have three different sources, all similar, and without too much description. Just a few lines that this is the file and it contains these fields and finished. So, I'm just wondering if you guys just give me a little bit more clear description, it would be really good, and I could join the competition in a correct way! :) Thanks, Mahdi",0,None,2 ,Wed Aug 29 2012 11:06:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2491,/competitions/predict-closed-questions-on-stack-overflow,140th
/otdewiljes,Evaluation 'within mailing' confirmation request,"The FAQ states the following: ""It is not useful to identify strong clients or packages and recommend mailingthose completely, while recommending not mailing weaker packages at all. Eachpackage is evaluated independently, and we will evaluate models based on theirability to separate good prospects from bad within a mailing – mailing is definedas client/package/phase combination. This will be accomplished by identifyingthe top 75% of model scores in each mailing as “good” and summing the totalperformance of that population."" Do I parse this correctly when I assume the following: I need to rank* performers in every group identified by a unique combination of the fields listid, packageid and phase, right? * FAQ states 75%; R example of evaluation states n%, so to be general enough, ranking would be best. (edited for misparsed angle brackets and ranking instead of 75%)",0,None,1 Comment,Wed Aug 29 2012 12:53:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2492,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,17th
/deluxe1,The quality of work,"A note to all entrants. I'd just like to let everybody who participated in this event how incredibly impressed we are at HBR with the level of thought and the ingenuity of the submissions. There are two things that particularly impressed us. First. The entries found a realy interesting balance between the visual and the 'boffinish'. It highlights how powerful careful presentation of the material is, and shows us what the important stories are that can be extracted from the data. Second. The extraordinary, hard work that those of you who participated put into this. Especially given the heroic last-minute data correction from the Kaggle team. This was definitely a super-tight deadline and to see the quality that arose in such a short time is flabbergasting! This is an amazing community of talented individuals and teams. Data scientists time to shine has come. On behalf of Harvard Business Review, I'd like to genuinely than everybody who took part. We are looking carefully at all the entries, not just the top few, and aim to notify you of our thoughts in the next 24 hours. Thanks James de Vries Creative Director Harvard Business Review Group",1,bronze,2 ,Wed Aug 29 2012 19:24:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2494,/competitions/harvard-business-review-vision-statement-prospect,None
/bric55263,Model size,My model is about 300MB in size. Can I still submit it with my predictions? Thanks.,0,None,4 ,Wed Aug 29 2012 22:25:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2496,/competitions/asap-sas,48th
/analytica,Exact number of rows in Submission 5224 or 5732?,"When submitting, it says that my csv file must have exactly 5224 rows, but mine has 5732 rows which is the same as the public leaderboard rows (excl header). Have I misunderstood something?",0,None,2 ,Thu Aug 30 2012 00:52:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2497,/competitions/asap-sas,39th
/heirloomseed,Will You Please Provide Public Leader Board Scores,"... after the model submission deadline has passed. I would like to continue to refine/debug my models after the competition if possible. Thanks, HS",0,None,5 ,Thu Aug 30 2012 01:10:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2498,/competitions/asap-sas,35th
/adamroth,Multiclass Logarithmic Loss,"I've read the [Link]:https://www.kaggle.com/wiki/MultiClassLogLoss and have a reasonable understanding of how this value is derived. However it's still somewhat unclear to me what the significance of this value is/what it actually measures/represents, in plain terms. For example, If one algorithm scores a .2 and another scores a .5, what can be said about them beyond the simple fact that ""algorithm 1 performs better than algorithm 2""? From those numbers, is it possible to quantify exactly how much better algorithm 1 is, or how much algorithm 2 would need to be improved to match algorithm 1 (like in terms of number/frequency of incorrect predictions)? It seems clear that a value of 0 indicates a perfect run, but what does a value of 1 correlate to, if anything? Random guessing? And does a value above 1 mean anything in particular? Like maybe that the approach does even worse than random guessing? Pretend that you're talking to someone who gets bored and wanders off when people start invoking complex mathmatics to explain relatively simple concepts. Thanks.",5,bronze,3 ,Thu Aug 30 2012 01:27:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2499,/competitions/predict-closed-questions-on-stack-overflow,83rd
/ashwinpurohit,Datetime is not a useful feature,I've not found the date field to be a useful feature (as expected). But I'm not extracting anything but the hour and day -- anyone find another use for it?,0,None,6 ,Thu Aug 30 2012 08:22:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2501,/competitions/detecting-insults-in-social-commentary,None
/kailashbuki,Regarding the markdown syntax,"I am trying to build my classifier using train-sample.csv. Unfortunately, I don't see the markdown syntax in the BodyMarkDown column of the dataset. Am i doing something wrong? Any guidance would be appreciated. :)",0,None,1 Comment,Thu Aug 30 2012 10:14:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2502,/competitions/predict-closed-questions-on-stack-overflow,None
/otdewiljes,Outside Information Request,"The Rules state the following: ""Outside data may be used only if publicly available. Descriptions of the data and where to find it must be posted in the forum, and the host may approve or disapprove the use of the data."" Conforming to this standard, I would like to request the use of the data found here: [Link]:http://federalgovernmentzipcodes.us/",0,None,1 Comment,Thu Aug 30 2012 10:38:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2503,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,17th
/waynezhang,cannot submit results,"ERROR: Unexpected error: '6 3 7 is not a valid value for Double.' Even if I submitted the previous submission, it failed.",0,None,6 ,Thu Aug 30 2012 16:55:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2505,/competitions/GestureChallenge2,3rd
/benhamner,Test Data Released,"Hi all, The test data (private_leaderboard.tsv) has now been uploaded. Please run your models on this data and upload the submission as soon as possible. Once you make the submission, it will say that you scored 0.0000 on the public set. This is fine, and it means your submission was parsed correctly. Thanks for your participation in this contest so far! Ben",1,bronze,11 ,Thu Aug 30 2012 18:43:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2506,/competitions/asap-sas,None
/barrenwuffet,Submitting changes to README file,"Can we make changes to the submitted model README file. There would be no change to the code, just the instructions about how to run it.",0,None,1 Comment,Thu Aug 30 2012 19:47:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2507,/competitions/asap-sas,13th
/dynamic24,Deadline for submissions with attached code,"I just wanted to make sure I understand the timeline. Do we have until the end of the day on 9/1 to make submissions before the new data set is released? If not, what's the exact deadline for making submissions and attaching code?",0,None,18 ,Thu Aug 30 2012 21:07:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2508,/competitions/predict-wordpress-likes,59th
/benhamner,Public Leaderboard Integrity,"I have removed the current first place team's submission (score 0.11864, team stackUnderflow) since I'm suspicious that they simply looked up a large portion of the answers, and I got no response from the user when I reached out. While it is straigthforward to look up whether a question in the public leaderboard set is open or closed and submit, please don't do this. It makes the leaderboard less meaningful and the challenge less fun for the rest of the participants. Also, due to the two-staged structure of this contest, it won't help you win any prizes. If you are concerned about the validity of any participant's submission, let us know by posting in this forum thread and we can look into it further on our end.",1,None,4 ,Fri Aug 31 2012 04:55:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2510,/competitions/predict-closed-questions-on-stack-overflow,None
/ahead56649,notes on the sample.r file,"Lines 18 has a couple typos. It reads: indices_to_use = aaply(indices, 1, function(i) sum(is.na(train[,i])) == 0 & sum(is.na(test[,i])) == 0 & class(train[,i]) == ""integer"") But should instead say: indices_to_use = unlist(lapply(indices, function(i){sum(is.na(train[,i])) == 0 & sum(is.na(test[,i])) == 0 & class(train[,i]) == ""integer""})) Since ""indices"" is a vector, you need to use lapply instead of apply (and the sample.r code says aaply instead of apply anyway). Make sure you: have randomForest installed to run this include a directory called ""submissions"" in your working directory where the sample.r will save some output files Also note that randomForest is a randomized algorithm. The sample.r file does not include a call like set.seed(0) or anything, so your output rf.csv will not be the same as the random forest output in the file ""random forest sample submission.csv"" that they give you.",3,bronze,3 ,Fri Aug 31 2012 09:39:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2512,/competitions/us-census-challenge,57th
/ahead56649,Useful packages in R,"There is a package ""UScensus2010"" in R that will probably be helpful for this problem: [Link]:http://cran.r-project.org/web/packages/UScensus2010/index.html If someone can figure out how to use it properly to play well with this problem, I would really appreciate it if you share that code below. I have used the package ""maps"" extensively, and I would avoid bothering with it if possible (it has several missing counties, and is not very useful beyond making pretty pictures). I plan to use network analysis and spatial statistics to work on this problem. Packages that I have used before that might be useful for this problem: ""statnet"", ""Spatial"", ""spdep"", ""spatstat"".",1,bronze,3 ,Fri Aug 31 2012 09:51:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2513,/competitions/us-census-challenge,57th
/shashwatmishra0,Role of Product Token index in Evaluation,"Hi, do the positions of the product mention within the text play a role in the evaluation of a submission ? For ex. If the correct entry for a test instance were 8c8e3756f1c2e33e2bdf17cff0c41344:529-530,RgKfuLlgHtQand I were to submit 8c8e3756f1c2e33e2bdf17cff0c41344:525-527,RgKfuLlgHtQwould the second submission fetch the same score as the first one?",1,None,1 Comment,Fri Aug 31 2012 10:38:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2514,/competitions/cprod1,None
/james30,Post with empty body.,"On line 9990366 of train.csv there's a post that has an empty body: 2967852,06/03/2010 16:21:14,357697,06/03/2010 16:21:14,1,0,Working with NSNumberFormatter.,,objective-c,nsnumberformatter,,,,,open This causes pandas to parse it as NaN (float) instead of a string, which breaks, well, everything. Dealing with this single case slows things down a *lot*, so is it safe to assume instead that there will not be null post bodies in test sets?",0,None,1 Comment,Fri Aug 31 2012 12:53:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2515,/competitions/predict-closed-questions-on-stack-overflow,3rd
/kp2357,UserAge negative?,"I was looking at some values for the baseline feature ""UserAge"", and it looks like some are negative - does this make sense? Can anyone confirm this? For example, the 8th point in full training set: PostCreationDate: 08/01/2008 12:09:41 OwnerCreationDate: 08/01/2008 13:25:15",0,None,1 Comment,Fri Aug 31 2012 15:27:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2516,/competitions/predict-closed-questions-on-stack-overflow,64th
/secretfeatures,Public + private leaderboard in test?,Are both the public and private leaderbord in test?,0,None,1 Comment,Fri Aug 31 2012 18:21:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2517,/competitions/us-census-challenge,None
/yolio52400,Posting Submission,"I am trying to decide how to format my submission. I have an html report that I can put up, but I can't get the link to work. Maybe I should just submit a pdf report. Thoughts?",0,None,5 ,Fri Aug 31 2012 19:28:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2519,/competitions/pf2012-at,None
/dlehman,Evaluation metric,"From the example data under ""Evaluation"" it seems to me that the given formula is not correct. The denominator in the first term should be n, not the sum of the weights. Am I correct?",1,bronze,7 ,Sat Sep 01 2012 01:51:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2522,/competitions/us-census-challenge,207th
/lmsaini,Back cast,"I wish to know regarding Back cast. For e.g. to back cast load data from 2005/3/6 - 2005/3/12, A) if one is restricted to use data before 2005/3/6, B) if one is restricted to use data after 2005/3/12, C) or one can use both before and after data as at (A) and (B) above",0,None,3 ,Sat Sep 01 2012 04:56:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2526,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/leapingllamas,Visualization 1st Place,"Can you please add some more detail around ""Visualization 1st Place: $1,000"". What is this aspect of the competition? What precisely are you after?",0,None,4 ,Sat Sep 01 2012 06:31:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2529,/competitions/us-census-challenge,None
/lmsaini,Last day data of each zone,The last day (2008/6/30) data of each zone is consisting of only 6 readings and not 24 readings.,0,None,3 ,Sat Sep 01 2012 08:04:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2530,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/koenverstrepen,Validation data of first period available?,"Dear Kaggle, After the deadline of september 1, will you make the data for scoring the submissions before september 1 available? In this way I can use the data for future research and use the high scores on the public leaderboard as a benchmark. Many thanks in advance!",0,None,5 ,Sat Sep 01 2012 13:48:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2531,/competitions/predict-wordpress-likes,None
/thomasporez2,This data will not be available as inputs,"Hi, I'm a little bit confused with this (related to the 6GB dataset) : This data will not be available as inputs, but may be useful in building your solution. Does it means that we can't use theses data to improove the quality of our models? For exemple, i think that some variables can add a lots of informations like the User location, or the user AboutMe page.",0,None,3 ,Sat Sep 01 2012 15:05:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2532,/competitions/predict-closed-questions-on-stack-overflow,125th
/surjya,Not able to open training set 1 file,"hi friends, I downloaded the file TrainingSet file in .7z format, it was 33.63 MB. Now when I extracted the file, I got 15 files with .csv format. The size of ACT1_competition_training.csv is around 703 MB. Does everybody have the same file size. Its very large. Is there something wrong or the data provided is that much large?",0,None,6 ,Sat Sep 01 2012 16:08:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2533,/competitions/MerckActivity,None
/ejlok1,Non-US participants,"Hi there I just wanted to clarify the rules. As a non-US citizen/PR, I am not eligible to win the prize. But if I enter into a team which has at least 1 US-citizen/PR, he/she as an individual within a team is eligble to win the full prize/rewards. Correct? Thanks Eu Jin",0,None,6 ,Sat Sep 01 2012 16:10:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2534,/competitions/us-census-challenge,9th
/tiffany3,Out of curiosity...,How does the Census know who didn't return the census?,0,None,2 ,Sat Sep 01 2012 23:10:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2539,/competitions/us-census-challenge,None
/ahead56649,Questions about specific variables,"Is the variable ""Flag"" supposed to be ""NA"" for everything? Variable: Flag Label: Block Group area with block group code 0 (zero), representing areas that are not habitable Definitions: If a Block Group contains only uninhabitable land, this variable is filled. Otherwise, this variable is blank. > table(is.na(test$Flag)) TRUE 85302 > table(is.na(train$Flag)) TRUE 129605 I expected there to be at least some ""0"" values in here given the above information, but instead found every single entry is missing. Does this mean if we want to take uninhabitable places into account, then we need to figure out ourselves which block groups are uninhabitable? I would guess this is useful information (e.g., maybe people who live near uninhabitable places have less access to the US mail system and are less likely to be able to return the census information).",0,None,10 ,Sun Sep 02 2012 04:13:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2541,/competitions/us-census-challenge,57th
/cartersibley,Second Data Set?,"When will this be up, and where will we download the files? Thanks!",0,None,2 ,Sun Sep 02 2012 04:31:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2542,/competitions/predict-wordpress-likes,1st
/binghsu,What is your methods?,I am using L1 Logistic Regression. The best single model is 0.38 Best KNN model is 0.40 Best SVM model is 0.41 What is your method?,0,None,15 ,Sun Sep 02 2012 06:03:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2543,/competitions/emc-data-science,6th
/smcinerney,"Generalization to verification set, and 'hand-labeling' prohibition?","Please clarify these two items below from the [Link]:http://www.kaggle.com/c/detecting-insults-in-social-commentary/details/rules ... I see some prior discussion: [Link]:http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2329/small-data and [Link]:http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2348/performance-evaluation 1. ""winners for the competition will be determined by their performance on an additional ver[i]fication set"" To what extent will our model need to generalize from the training+test set to the unseen verification set? To what extent are the training+test sets representative (vocabulary, sentence structure, style) of the verification set? 2. What exactly is meant by 'hand-labeling of data' or 'manual scoring of test set' below in the [Link]:http://www.kaggle.com/c/detecting-insults-in-social-commentary/details/rules: Specifically, we are free to hand-label and develop whatever manual heuristics, weights, parameters from the training set data, right (beware overfitting)? Just not the test set? ""Hand-labeling of the data set [you only mean test set?] is not allowed. Impermium will review all winning solutions for evidence of hand-labelling before granting the prizes. This model submission must contain all data, code, and parameter settings necessary to evaluate your models on new comments, and include a README file with instructions on how to do so. The purpose of this is to ensure a fair competition and that no manual scoring of the test set comments has been done."" 2b. The AUC/Evaluating performance discussion seems to contradict that: [Link]:http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2348/performance-evaluation What is legal to do? Can we calculate AUC based on a manual scoring of the test set, as long as we don't derive any weights/parameters/heuristics from that? If not, how can we ourselves apply the AUC from that discussion?",0,None,3 ,Sun Sep 02 2012 09:20:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2544,/competitions/detecting-insults-in-social-commentary,None
/teeq56478,Reviews on ALGLIB,"Hello, data science noob looking to work with Random Forests for the first time. I'm seeing a few forum posts written by C# and .NET users. Have any of you tried ALGLIB's decision forest library for C#? [Link]:http://www.alglib.net/dataanalysis/decisionforest.php I'm looking for general thoughts on whether folks think you can win a kaggle contest with it. Specifically, wikipedia says it ""contains an implementation of a modified random forest algorithm."" Any details on the specific differences? Any insights as to the impact on speed/efficacy?",0,None,3 ,Sun Sep 02 2012 09:56:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2545,None,None
/surjya,Need some clarity on Training set and Data set,"hi everybody, The number of entries in Molecule ID colum in ACT2_training(8717) and ACT2_test(2908) are different. The ACT2_training also does not contain any duplicate entry for Molecule ID. Is it supposed to be like this? Because as per the Rsquare.R script, the input and output variable should be having the same length. Pllease let me know if I am wrong.",0,None,4 ,Sun Sep 02 2012 13:32:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2546,/competitions/MerckActivity,None
/anaconda,Public leaderboard / Private leaderboard,"Does it make sense to submit your estimates on private leaderboard data? Let me elaborate on this a little bit more, so that you know why am I asking. Assume I currently rank 40/150. Let's say that only top 30 players re-submit their estimates on private dataset. If I decided to do so as well, my private-data ranking would be, most likely, 31/31. Looks significantly worse than 40/150, doesn't it? I guess my question reduces to the following: 1. How is Kaggle rating calculated after the end of the competition? What is the role of public/private leaderboard in that? 2. What happens with those that do NOT submit private-data estimates? I assume there are many players that simply stopped their efforts long time ago, and they will not bother recalculating their models on private data. Are their public-data rankings going to be dismissed, resulting in the final score 0? Thank you for your answers.",0,None,6 ,Sun Sep 02 2012 17:45:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2548,/competitions/asap-sas,47th
/teeq56478,Using 3rd party data in the predictions,"Hello, I'm wondering if it is permitted to use 3rd party data as part of winning prediction models. For example in the ""Energy Load Forecasting"" competition, let's say that power consumption was correlated with seasonal temperatures. Can I use seasonal temperature information from a third-party data source as input to my prediction model? Similarly, let's say power consumption was higher around US holidays. Could I use a holiday calendar as input? If I can use 3rd party data here, what are the restrictions if any on the data sources I can use? Thanks!",0,None,1 Comment,Sun Sep 02 2012 19:43:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2549,None,None
/slothouber,Free course related to this competition,Maybe a bit if topic. But there is a nice free class on neural nets at coursera: [Link]:https://www.coursera.org/course/neuralnets that looks like it would be very useful for this competion and gaining more knowledge. If you watch the introductory video for this class you'll immediately recognize the digits from this competion.,4,bronze,6 ,Sun Sep 02 2012 19:53:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2550,/competitions/digit-recognizer,None
/shenss,External Data,"Hi, I wonder if there are any restrictions on the types of external data and their release dates. For instance, given that ""practicality"" isn't elaborated on, I wonder if I could use additional weather records from 1 hour, 1 day, 1 week, etc., ago, that are guaranteed to the available for future ""live"" forcasting scenarios. Thanks",0,None,5 ,Mon Sep 03 2012 00:32:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2552,/competitions/global-energy-forecasting-competition-2012-load-forecasting,37th
/wilsta,Competition window too short,"I think the competition windows are too short. I'm a full time predictive modeller, I study part time and I'm married - so you see I don't have much spare time for the Kaggle comps (at least not as much time as I'd like to give them). LOL. Compounding the problem: I'd like to attempt several of the competitions, but given my time constraints and the competition time frames, I end up choosing a single competition based on the prize pool, problem complexity and time remaining. And so I've chosen this competition over the CareerBuilder competition - but really, I'd like to attempt both! Could I recommend competition windows of at least 3 months in the future? How do other Kagglers feel?",0,None,12 ,Mon Sep 03 2012 03:00:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2553,/competitions/MerckActivity,60th
/catalingavriluta,Relationship between Temperature Stations and Zones,"Is there any information regarding the positioning of the Temperature Stations with regards to the zones? Looking at the Temperature data from the 11 stations, differences as large as 16 degrees Celsius can be noted between stations.",0,None,1 Comment,Mon Sep 03 2012 11:57:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2555,/competitions/global-energy-forecasting-competition-2012-load-forecasting,22nd
/dchudz,Final Dataset Ready,"I've added two zip files to the data. These are what you need for the second data set. It's new versions of all of the original files -- I've just put them in two zip files to avoid a proliferation of many files in that section. I've tested the sample submissions -- both work as expected, with only a change to the file names. Please note that you should only make a submissions on the final dataset based on the submission you selected and uploaded code for. (Or if none is selected, the one with the best public leaderboard score.)",0,None,12 ,Mon Sep 03 2012 20:35:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2558,/competitions/predict-wordpress-likes,15th
/vr14053985,Some clarifications,"Dr. Hong: In an earlier forum post, you stated stated: ""The participants are restricted to use the data provided through the competition and the US holiday data. They can not infer the location of weather stations to use actual temperature data beyond what has been provided."" This tells me that 1) it is not possible to have any knowledge about locations where temperature is measured 2) it is not possible to use external data of any kind, whether to get more temperature data or otherwise. Can you please explain why #1 and #2 are part of the rules of this competition? It appears this is a prediction problem with missing predictor variables (e.g. location). Also, the restriction of not beinge able to use external data (while most competitions allow this) further hinders the problem in my opininon.",0,None,1 Comment,Tue Sep 04 2012 04:59:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2559,/competitions/global-energy-forecasting-competition-2012-load-forecasting,27th
/bigdatascientist,Exception help,"I am getting this error on submission: ""EXCEPTION: One or more errors occurred. Value was either too large or too small for a UInt64."" any help on what causes this to be generated on Kaggle side? It would help in debugging our submission.",0,None,2 ,Tue Sep 04 2012 06:09:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2560,/competitions/acm-sf-chapter-hackathon-big,10th
/marcolui,Submission Format?,"It is not clear what the submission format should be. On the data page it says: For each line in the CSV test file, you should add a column to the end with the binary prediction (0 or 1) But on the 'Make a submission page' it says: Your entry must: be in CSV format (can be in a zip/gzip/rar/7z archive) have your prediction in column 1 have exactly 14,232 rows Each predicted value must be: Predicted Probability. That is, a real-valued number in the interval [0, 1]. The 'naive classifier' provided with the competition data creates the following output: Label,Document,Sentence,Text,predictionbackground,10070506,1,BACKGROUND,yesintervention,10070506,1,BACKGROUND,no ... I have successfully submitted the output of the naive classifier. Does this mean that the instructions on 'make a submission' are wrong? If so, how should confidence values be represented?",0,None,1 Comment,Tue Sep 04 2012 07:15:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2561,/competitions/alta-nicta-challenge2,1st
/s445203,2 Newbie Questions,"I just want to sanity check that my interpretation of the data set is correct, so I've got a couple of hopefully quick questions: 1. Does the fact that the Activity metric is not comparable across different data sets mean that one can think of this task as 15 completely independent data sets. i.e. the fact that some molecules and descriptors are common across data sets cannot actually by used for anythign useful? 2. What's a humanly useful intepretation of a descriptor? As these are not binary values, can anything be inferred from the fact that one molecule has more of one descriptor than another, or is this more properly interpreted as a class label rather than a numeric value? Thanks for any help in advance.",0,None,2 ,Tue Sep 04 2012 12:48:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2562,/competitions/MerckActivity,15th
/cartersibley,"Pick a number, any number...","In my submission code, I didn't think to add a ""set.seed"" value to my randomForest generator to ensure a replicatable result for my submission. I'd like to add one now, but since the new data is out, I don't want there to be an issue of whether I picked an advantageous seed number. (I can't imagine the work involved to actually pick an advantageous seed by decoding the actual likes from Wordpress sites, but I'm sure it could be done). So, can someone at Kaggle give me a 'blind' seed to use for R's RNG? I think any 32-bit signed integer works for R's 'set seed' function, but let's say a postive integer between 1 and 2^16 -1? Thanks!",0,None,6 ,Tue Sep 04 2012 17:42:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2564,/competitions/predict-wordpress-likes,1st
/glider,Submissions in 1st column,Please ignore the instructions in the blue box on the submission page that suggests placing answers in the second column. This appears to be causing a parser error. Submission should be in the first column.,0,None,4 ,Tue Sep 04 2012 18:14:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2567,/competitions/acm-sf-chapter-hackathon-big,None
/iguyon,Final phase coming up,"In preparation for the final evaluation phase, please: download the final evaluation data http://gesture.chalearn.org/data/final-evaluation (as soon as possible) upload your code with your submissions (as soon as possible, so we can try it and see whether we don't encounter technical problems) The deadline for code submission is Thursday SEPTEMBER 6, midnight UTC. You must upload the exact code that served to create the last submission and will be used to process the final evaluation data. See http://www.kaggle.com/c/GestureChallenge2/details/submission-instructions (bottom). We will release the decryption key shortly after SEPTEMBER 7 0h UTC. Please be patient because we will first download a copy of all the software uploaded, for backup purpose. This may take up to a couple of hour. The decryption key will be posted on the Kaggle forum and at http://gesture.chalearn.org/. We encourage all the participants to make final submissions (even if you are not in the top ranking participants or do not want to upload code). You never know, some people may be overfitting, you may end up having a nice surprise! Good luck!",1,bronze,10 ,Tue Sep 04 2012 19:42:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2568,/competitions/GestureChallenge2,None
/dchudz,aggregate data & delayed deadline -- 9/9 midnight UTC,"I'm delaying the deadline by 2 days, due to the delay in getting the new data up for you. The aggregate data currently available is from a longer (longer by 1 year) period than it should be. We'll post new aggregate data (based on the same length of time period as the first data set) later today, as soon as it's available. Since the wrong aggregate data is already posted (and some of you may have already scored your final submissions), let's say that you can use EITHER set of aggregate data.",0,None,5 ,Tue Sep 04 2012 19:59:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2569,/competitions/predict-wordpress-likes,15th
/sashikanthdareddy,How soon after mailing do you know the results?,"As the title says, say your client comes to you with a list of 10,000 prospects and you whittle it down to 2.500. How much lag is there between mailing those 2,500 and knowing how many of those 2,500 have made a donation. A week,a fortnight, a month or more?",0,None,4 ,Tue Sep 04 2012 20:10:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2570,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,7th
/sashikanthdareddy,"Are prospectids Unique across DB1,DB2 & DB3?","Hi, I found that there are 772,023 ProspectIDs which appear in all three databases. For ex the following prospectids appear in all three dbs: 25 38 64 80 102 108 114 137 149 159 Am I correct in thinking that, say for ex:, Prospectid: 25 is the same individual in all three databases?",0,None,2 ,Tue Sep 04 2012 22:59:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2572,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,7th
/astrodave,Unique IDs: Strangely High/Bad Score?,"This is a quick message regarding how you submit your data. This will probably affect you if you are getting a factor of 10 larger score than others on the leaderboard. The first column of your submission must be a unique ID, i.e. 1 through 1324 (number of rows). If your first column is the station id which repeats 1 through 5 you will get a bogus score. Thanks AstroDave",0,None,4 ,Tue Sep 04 2012 23:29:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2574,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/glider,Final Results,"The results of the [Link]:https://www.kaggle.com/c/harvard-business-review-vision-statement-prospect are in! Congratulations to everyone who took part. There were many great entries that demonstrated both 'intellectual and visual elegance.' Only 3 could win the prizes, but HBR also asked us to share their list of honorable mentions. First: HBR (Updated) 90 Years. By Eamonn. Really interesting layering of topics and trends. A nice distillation of ideas. Second: The Most Popular Words Used Over Time. By Worm. An elegant visualization of 90 years worth of HBR. Balances thoughtful analysis and allocation of values with visual clarity. Third: Semantic Landscape. By Jean Phillipe Cointet. Powerful network map showing clusterings of topics. There were a number that deserve special mention too: We really liked the interactive of the 4th last entry. 'De-trending Harvard Business Review'. It's a pity that they were unable to post it into the frame, because I'm sure it would have received a few votes. We also really liked the thoughtful presentation of: The Pursuit of Innovation' by MarkMcSpadden, 'HBR Collaboration Across The Globe' by Kyle Miller, 'Harvard Business Reviewed' by Martin Kemka and 'Evolution of HBR Article Trends' by D.Sweet. '40 Million Words' by Aaron Schumacher was a really clever 'designer' approach. Good thinking there too. We even thought the entry 'Auto Generated Title for HBR' by John Park was very funny and remarkably close to the truth.",2,bronze,5 ,Tue Sep 04 2012 23:30:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2575,/competitions/harvard-business-review-vision-statement-prospect,None
/marcolui,Nature of Benchmark classifier?,Hello! Just wanted to get a picture of what the Benchmark result published actually is. Is it representative of the method described in Kim et al (2010)?,0,None,5 ,Wed Sep 05 2012 02:31:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2576,/competitions/alta-nicta-challenge2,1st
/salimali,R POSIXlt question,"Hope someone with better R skills with me can help with this issue.... How do we convince R to deal with times that it believes shouldn't exist because of daylight savings. this datetime loses the time > as.POSIXlt('2004-10-31 02:00:00') [1] ""2004-10-31"" add one hour and things are as you would expect should be, > as.POSIXlt('2004-10-31 03:00:00') [1] ""2004-10-31 03:00:00"" If anyone can solve this issue for me then I' plan to post all my R code to get a prediction out. Thanks in advance!",0,None,3 ,Wed Sep 05 2012 10:37:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2577,/competitions/global-energy-forecasting-competition-2012-load-forecasting,1st
/rsenge,Groups in test,"Hi there, I wonder, where does the groups in the test set actually come from? Is it just a combined key of keys already in the datasets? I'm asking, because if you e.g. want to cross-validate different models using the training set, there are is no explicit grouping available. So how is the grouping in the test set actually done? Thanks in advance for your help.",0,None,1 Comment,Wed Sep 05 2012 11:17:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2578,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,8th
/teeq56478,Real world causation for drops in station 9?,"Hello! Seems most stations run on a fairly regular period peaking in the afternoon (between h10 and h20). I'd kind of expect this from power stations. Based on my sampling, station 9 seems to frequently run hottest during h1 to h10 then drop off and generate very little power while others are running hottest. I'm just wondering what the real-world causation might be for this sort of pattern. Some context might be helpful. Cheers, Kenn",0,None,3 ,Wed Sep 05 2012 11:33:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2579,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/marisabele,""","" seperator in load history","In load history file "","" seperate what? a)""16,853"" --> 16853kWh b)""16,853""--> ~16kWH",0,None,1 Comment,Wed Sep 05 2012 13:58:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2580,/competitions/global-energy-forecasting-competition-2012-load-forecasting,29th
/salimali,"zones 2,3 & 7 all the same","can you please confirm if zones 2,3 & 7 are correct - they appear to be the same or just multiples. Zone 6 also looks pretty similar to them (or maybe I have stuffed up).",0,None,1 Comment,Wed Sep 05 2012 15:22:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2581,/competitions/global-energy-forecasting-competition-2012-load-forecasting,1st
/hirak17802,Hierarchical Classification Algorithm,"I need to carry out a classification for my day work, where I have a training and a test setwith known classes. I have 400k observations in total. There are two things different from other problems I enountered in the past. First is that there are 500 classes, while in the past I have dealt only with 3 at max. Second is that the classes have a hierarchy (though at the top level too, there are 70 classes). This is same as any other classification technique, except that classes also have a hierarchy. I am thinking to use Random Forest, but I do not know of a RF based algorithm which takes care of hierarchy - and without the knowledge of the hierarchies, the algorithm will not actively reduce misclassification across broader classes - and may end up making larger errors on the whole. What would be the best technique to use for this?",0,None,2 ,Wed Sep 05 2012 20:13:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2585,None,None
/rkirana,"essay sets 7, 8",Clearly essay sets 7 and 8 were the most difficult in the competition. I could get 0.72 score overall but not more than 0.62 for these two essaySets. Can folks share their tips on how they did this now that competition is over? I must say great learning from this competition. I had not much background on text mining prior to this - but now I have a very good background,0,None,3 ,Wed Sep 05 2012 21:23:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2586,/competitions/asap-sas,24th
/studentkgl2012,test.csv missing in Final Dataset,I don't see test.csv in the two zip files for the Final Dataset. Should we use the test.csv from First Data Release?,0,None,3 ,Wed Sep 05 2012 21:39:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2587,/competitions/predict-wordpress-likes,3rd
/inteli,Getting help from non-participants,"Hi, 1- Is it legal to receive subtantial help in design/coding from indivuals that do not have a user in kaggle.com and do not plan to officialy participate in the contest? 2- What is the answer of the same question, if have collaboration with indivuals that live in countries that US export is denied, and therefore are not eligible for kaggle.com contests, assuming that those indivuals are not officialy team members.",0,None,4 ,Wed Sep 05 2012 23:01:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2590,None,None
/salimali,error metric & suggestions,"The error metric is the weighted RMSE, but the weights are all the same for each zone. As the magnitudes of the loads are in different ranges I think this means that 9 good sets of predictions can be stuffed up by just one bad set - if that bad set has very high load values. As some of the series are clearly unpredictable from the data we have then the winner could just be because of luck. In order to make this contest of more academic value from an algorithm perspective, may I suggest that you do the following... 1) remove the 2 of the 3 zones that are the same. This is just creating extra effort for everyone. 2) remove the 2 zones that are clearly subject to external drivers that are nothing to do with the variables we have at hand to make the predictions. Predicting these is more luck than skill and in the real world you would have this information. 3) standardise the raw data so that each zone carries a more equal weighting. Just some thoughts !",0,None,14 ,Wed Sep 05 2012 23:11:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2591,/competitions/global-energy-forecasting-competition-2012-load-forecasting,1st
/lucky3,IMPORTANT: Private Leaderboard confusion,"Hi Ben, This is my first participation in the competition. I assumed that the maximal results on the private leaderboard will be my final score. But it turns out, that the system selected 0.00000. It looks like the system took my results for private leaderboard because it was selected earlier. I believe this is an error in your software. Could you, please, put my maximal results for the private leaderboard as the final? Thank you, (Un)Lucky :)",0,None,14 ,Thu Sep 06 2012 07:36:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2594,/competitions/asap-sas,21st
/johnj2,What is MailCodeId?,What is MailCodeId exactly? description: The id for the segment being mailed. MailCodes are unique by the combination of projectid and MailCodeId What does it really means?,0,None,1 Comment,Thu Sep 06 2012 08:40:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2595,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,None
/thinkingstiff,How to load files into SQL Server,"Since Stackoverflow uses SQL Server, I assumed these files would be in a CSV format that was able to be loaded into a SQL Server DB, but alas, they are not. They use double quotes and commas in a quoted field which BULK INSERT (and the Enterprise Manager Import Tool) doesn't allow. How are people getting these files loaded? I can't find a conversion tool that changes the delimeter.",0,None,2 ,Thu Sep 06 2012 10:08:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2596,/competitions/predict-closed-questions-on-stack-overflow,77th
/benoitplante,Molecular descriptors/features,"Are the molecular descriptors consistent among data sets? I mean, is for example ""D_40"" in data set #4 the same as in the data set #7 ? Or could they be incoherent, like the activity measures?",0,None,2 ,Thu Sep 06 2012 16:52:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2598,/competitions/MerckActivity,95th
/jjjjjj,Hand labeling public_leaderboard.tsv ,"I am very interested to see if the winners have hand labeled public_leaderboard.tsv to create additional training examples. I fear at some level this was a contest to see which team could hand label public_leaderboard.tsv the most accurately. As it was a contest to systematically score essays, I believe providing unlabled examples (that could be manually labeled to improve your score) was a flaw in the contest design. Perhaps a minor flaw--I wait to read the winners' papers. In retrospect, I think the goal of the contest would have been better met if the labels for public_leaderboard.tsv were released to everyone DURING the contest. Perhaps not at the begining of the contest (else the public leaderboard would have been mostly meaningless), but perhaps a couple weeks prior to close. In this way, all solutions are compared on their ability to label unseen examples--as opposed to a combination of their ability to label unseen examples AND the author(s)'s ability to hand label the validation set.",1,bronze,4 ,Thu Sep 06 2012 22:23:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2600,/competitions/asap-sas,7th
/vap3123,How to save 50% or more of the prize fund ...,"I do not participate in this competition because it looks unfair. It requires comparison to a human benchmark, which could not be exceeded. By the way, the description of the competition does not mention that the results will be compared to the human benchmark. This simple trick allows the sponsoring company to save 50% of the prize fund. Come on, guys, it is not the Turing Test it is a machine learning competition! We already have a kind of Turing Test competition (http://www.loebner.net/Prizef/loebner-prize.html). Let's do a fair comparison! Otherwise all the sponsors will go the same way. Or ever further! Why a sponsor should introduced only one human benchmark? How about having 3 human benchmarks produced by full professors, associate professors and assistant professors? (I would wonder whose benchmark would be higher. :) Then the sponsor can save up to 90% of the fund. After this the sponsor could add more small prizes, for example $500 (or better $100?) for the funniest movie about the data. I would vote for fair competitions. And you? Send your ""Yes"" or ""No"" as your respond to this message. Thanks, VAP",0,None,4 ,Thu Sep 06 2012 22:51:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2601,/competitions/asap-sas,None
/dchudz,Preliminary Milestone 3 Winners,"Preliminary Milestone 3 winners are: 1st: Edward & Willem 2nd: crescendo To become the (non-preliminary) Milestone 3 winners, they'll need to document their methods, address any questions in the forum, etc. as specified by the rules.",0,None,13 ,Fri Sep 07 2012 02:02:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2602,/competitions/hhp,None
/gilinson,"DB1,2,3","The rules say This restriction applies to using information in DB1 for predicitons about DB3 and vice versa, but does not apply to DB2 in either direction. Does that mean that I can make a prediction about DB2 that uses data from both DB1 and DB3?",0,None,1 Comment,Fri Sep 07 2012 04:03:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2603,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,5th
/patrickmason,SVM Discussion,"I'm hoping this can be a place to discuss SVM details. What I have done so far: third degree polynomial kernel, using default parameter values of the LIBSVM library; predictions are made using a voting strategy of the 45 trained binary classifiers. At the moment, I'm part of a six-way tie for 25th place, so I expect some of those entries are using the same method. I'm curious to know what kernels others are using, as well as the other SVM parameters. Soon I hope to have a gaussian kernel up and running, but have been having strange difficulties with this... If there's interest in getting started with SVM, I don't mind linking to the code I've written. My implementation uses python and LIBSVM, allowing for this task to be tackled fairly quickly.",3,None,24 ,Fri Sep 07 2012 07:12:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2606,/competitions/digit-recognizer,None
/utkd57095,Benchmark generation,"Hi, I am not able to figure out what the phrase "" results from the persistence forecast method ('what you see is what you get') "" is supposed to mean. What is the ""what you see is what you get"" referring to? Can someone explain?",0,None,1 Comment,Fri Sep 07 2012 13:24:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2608,/competitions/GEF2012-wind-forecasting,None
/amitchandak,How to Get User Reputation at Post Creation Time,"Hi, In the train-sample.csv files there are few fields which and we are supposed to use only those to train our models. However I am unable to find few fields like : 1) ReputationAtPostCreation --> users.xml ( But this is not same as User_Reputation at creation time) 2) OwnerUndeletedAnswerCountAtPostTime Please let us know how to derive these fields. Thanks",0,None,1 Comment,Fri Sep 07 2012 14:23:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2609,/competitions/predict-closed-questions-on-stack-overflow,110th
/sourabh1,Can we use additional fields available in 6GB file?,There are many new fields available in the 2012-07StackOverflow.7z file. Can we use these additional fields in the model ?,0,None,2 ,Fri Sep 07 2012 14:44:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2610,/competitions/predict-closed-questions-on-stack-overflow,110th
/richardpovinelli,"Submission ""INFO: ..."" warning","I received the following feedback under my submission file name: ""INFO: Could not find column 'weight' among extra 5 columns: (). Consider naming this column exactly 'weight' to avoid confusion. (Line 1)"", but used the submission template almost exactly. Has anyone else recieved this informational message? Is this just due to a Kaggle standard response that has the assumption that a weight column should exist in the submission?",0,None,2 ,Fri Sep 07 2012 20:37:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2611,/competitions/global-energy-forecasting-competition-2012-load-forecasting,12th
/barrenwuffet,Grouping clarification,"I just want to clarify which is correct: From 'Evaluation 'within mailing' confirmation request': I need to rank* performers in every group identified by a unique combination of the fields listid, packageid and phase, right? Answer: Correct While 'Groups in test' says: The grouping for the Evaluation dataset is by packageid and phase. This combination represents a single mailing, and we want to identify the top 75% of each one of these mailings. Thanks! Is listid part of the grouping scheme or no? Thank you.",0,None,1 Comment,Fri Sep 07 2012 23:41:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2613,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,9th
/darkoram,problems with import features,"freatures.py has a line at the top import features The download of .py files includes features.py and features What is features? I'm using Eclipse and it complains about import features If i remove it i get an error ""NameError: global name 'features' is not defined"" in the last line below is not defined. def extract_features(feature_names, data): fea = pd.DataFrame(index=data.index) for name in feature_names: if name in data: fea = fea.join(data[name]) else: fea = fea.join(getattr(features, camel_to_underscores(name))(data)) can anybody explain what the ""features"" file (withouth the .py) is for? There is a similarly formatted file for cu as well.",0,None,3 ,Sat Sep 08 2012 04:31:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2614,/competitions/predict-closed-questions-on-stack-overflow,None
/rkirana,Source code zipped with password,"Guess tomorrow is the last day to submit model. Can we submit the model in a .zip file with a password? This is similar to the Hewlett essay scoring competition? In case we are among the winners, we are necessitated to share the source code - by revealing the password. organizers: Confirm Thanks,",0,None,10 ,Sat Sep 08 2012 16:37:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2616,/competitions/detecting-insults-in-social-commentary,16th
/woot4moo,train-sample.csv odd data.,"Hi all I recently downloaded the train-sample.csv file and the first line looks correct: PostId,PostCreationDate,OwnerUserId,OwnerCreationDate,ReputationAtPostCreation,OwnerUndeletedAnswerCountAtPostTime,Title,BodyMarkdown,Tag1,Tag2,Tag3,Tag4,Tag5,PostClosedDate,OpenStatus but at line 4 it looks strange to me: I suppose it's a compromise between: - ease of referencing the Language - object in that collection - speed in doing queries where the sentence has a certain language - the size of the data on disk Is that actually what is supposed to be in the csv file? I am curious because the entire file is over 2 million lines long and nothing in there looks like data. The last few lines look like this: The story starts with an idea to automatically attach unlimited amounts of PDF's to an emial, ussing the Acrobat program. Quickly you begin to understand that Adobe can only ever attch the one PDF to an email at the one time, no more Pdf's can be attached. then the idea qickly circum navigats to creating a VBA form that displays all the attachments collected throughout the PDF by a copy move .bat extension that places the selected files in a temporary folder. nevermind as complex as it sounds it works execpt now that the administrator has blocked (so says adobe) acrobat from executing files from linked buttons. in otherwords what im doing works but i havent got the security clearance to initiate it. what i would like to know is either of two things. dose anybody know a kosher logical way around the buttons triggering the bat extension files. OR....",0,None,5 ,Sun Sep 09 2012 03:06:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2617,/competitions/predict-closed-questions-on-stack-overflow,None
/sigurd,Leaderboard data skew & final evaluation data,"I have a question to the StackOverflow team hosting this competition. Comparing my own cross-validation log-loss scores with a submitted prediction, I conclude that the leaderboard dataset is very skewed towards the 'open' class. I assume it's a uniform sample of the real database (or at least from an unstratified dataset). I'm wondering if the final evaluation dataset will have a similar distribution or if that dataset will have a uniform distribution across all classes. The latter case would reveal significantly better whether a classifier can distinguish between all classes while a highly skewed dataset seems much less useful to me because putting a high bias on 'open' gives quite good score already. For instance, I get a good log-loss value on a stratified test dataset without biasing towards 'open', but on the leaderboard dataset the log-loss value is really bad. That's most certainly due to the high class skew and without the bias I didn't classify the 'open' samples as 'open' with extremely high probability but just with reasonably high probability. Could you please answer the question on the final evaluation dataset and maybe comment on the usefulness of a skewed dataset for evaluation (leaderboard or final evaluation)? Thanks!",0,None,5 ,Sun Sep 09 2012 12:11:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2618,/competitions/predict-closed-questions-on-stack-overflow,111th
/inzl26173,meteorological forecasts,"Hi, is it intentional that the meteorological forecasts are available only until 2012 06 26, while predictions need to be made until 2012 07 02. thanks, Indrė",0,None,3 ,Sun Sep 09 2012 15:16:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2619,/competitions/GEF2012-wind-forecasting,18th
/imran2,train.zip corruption on ubuntu,"FYI. unzip on ubuntu (and possibily other unixes; version UnZip 6.00 of 20 April 2009, by Debian) seems to subtly corrupt the CSV file when uncompressing. The uncompressed file should have a md5sum of: e049b121cca6004b7cfccdde3d285638 The 7z file works fine. (I've verified the same zip file using mac os x and that handles it fine)",3,bronze,2 ,Sun Sep 09 2012 19:44:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2620,/competitions/predict-closed-questions-on-stack-overflow,None
/anandkhobragade,ML Algorithms for Remote sensing data...?,"Is there anybody who works on applying ML algorithms on satellite images for clasification problem....? if so, get i touch with me at semanand@gmail.com ANK, India",0,None,1 Comment,Sun Sep 09 2012 20:51:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2621,None,None
/jasontigg,Question about the Random Benchmark score,"Coming to this one late in the game and seeing the size of the data files probably too late! Here is a dumb question I have, why does the random submission not score 0.75? I clearly have not understood the scoring metric properly. As I understand it your score is the sum of the real amounts (possibly raised to 1.15) over the top 75% of your predicts divided by the sum of the real amount of the entire 100% (with the caveat that you partition the data according to a tuple key before doing this).",0,None,1 Comment,Sun Sep 09 2012 22:35:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2622,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,3rd
/mmoselhy,Can I use Matlab?,"Hi, quick question, Can I use matlab to implement the algorithm and getting results ? Thanks",0,None,1 Comment,Mon Sep 10 2012 10:17:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2625,/competitions/predict-closed-questions-on-stack-overflow,101st
/glider,Test w/ Solutions now available,"We have released the test set will the solutions column ( available for download on the data page ). You have until 9/17/2012 11:59 PM UTC to continue training your models and to upload and select the code for your final submissions. After the model lock-in deadline, we will release a final verification set. Verfication set submissions must be made with the same code you locked in by 9/17. These scores will determine the final winners of the competition One more note, model submission limits have been raised to 10 per day.",0,None,7 ,Mon Sep 10 2012 18:31:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2626,/competitions/detecting-insults-in-social-commentary,None
/greg19,Thanks to All Participants,"Howdy All, I just wanted to give a big thank you from everyone at Automattic (WordPress.com) to everyone who participated in the competition. I've only had a brief chance to look at the submitted code so far, but there's some great ideas in there that we are very excited about. I'd like to encourage people to write somewhere (on this forum, on your blog and linked from here) about your experience with the data, or what techniques worked and what didn't. One thing about reading research papers is that they often exclude the tehcniques that people tried that didn't work. A lot can be learned from the different paths people explored. And if you didn't submit your code, then please consider putting it up on github since there is nothing like looking at real code. Thanks also to GigaOm, Kaggle, and Splunk for making this competition so successful. If you are interested in working with WordPress data and building the biggest publishing platform on the internet, we're always hiring: http://automattic.com/work-with-us/ Thanks again for all the hard work! -Greg",0,None,4 ,Mon Sep 10 2012 19:27:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2629,/competitions/predict-wordpress-likes,None
/dchudz,"Preliminary Winners' Code, Modified Timeline","Due to delays during the contest, the timeline needs to be modified slightly: 9/12/2012 (end of day, by UTC): Deadline for winners to post code. 9/18/2012 (end of day, by UTC): Deadline for disputing results. 9/20/2012 -- (results announced) The four preliminary winners should each post their code in *this thread* -- the version submitted with their selected submission prior to the deadline, and the final version (with any filename changes, bug fixes, etc.). I will confirm that the former matches the file submitted. Please license your code under under the GNU General Public License, version 2 (GPL-2.0) (http://opensource.org/licenses/gpl-2.0.php).",0,None,7 ,Mon Sep 10 2012 20:41:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2631,/competitions/predict-wordpress-likes,15th
/inzl26173,evaluation,"Hi, I have a question regarding the evaluation measure. The rules say: The RMSE is calculated as the square root of the average of square forecast errors. Is the average over 7 wind farms is taken first and then the square root, or RMSE for each farm is calculated separately and them the average is taken? thanks, Indrė",1,None,2 ,Mon Sep 10 2012 23:18:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2632,/competitions/GEF2012-wind-forecasting,18th
/shinmagi,not sorting the submission file ,"Hello, I was wondering whether the submission file needs to be sorted, i.e. training set 1 molecules (ACT1_*) must come before training set 2 moledules (ACT2_*) and also sorted within each training set. The example submission file seemed sorted. Since the first column already uniquely identify fies each moledule, sorting does not seem necessary to me, but I would like to confirm. Thanks.",0,None,1 Comment,Tue Sep 11 2012 05:16:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2634,/competitions/MerckActivity,7th
/shallybu,Use of Oracle RDBMS?,Is the use of Oracle RDBMS allowed? Probably not but I thought I'd check. Thanks,0,None,6 ,Tue Sep 11 2012 05:37:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2635,/competitions/acm-sf-chapter-hackathon-big,5th
/andrewchou,Matlab,"Sorry, maybe I missed this somewhere. But is matlab allowed in this competition? Thanks!",0,None,6 ,Tue Sep 11 2012 09:45:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2636,/competitions/us-census-challenge,None
/tkwijaya,Leaderboard 25% calculation,"From Leaderboard page: ""This leaderboard is calculated on approximately 25% of the test data."" Does this means 25% of data for each weight? i.e. - 25% for data with weight 1 - 25% for data with weight 8 - 25% for data with weight 20 - 25% for data with weight 160 Thanks.",0,None,3 ,Tue Sep 11 2012 16:40:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2637,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/joseffeigl,Congrats to the winners!,"For me it was an interesting competition, especially with the strong improvements at the top of the leaderboard towards the end of the competition. I'm keen on knowing what you guys did :) Just want to share my approach in short: Basically, I tried to create meaningful features most of the time, like the change of weight in some time frame or the minimum/maximum weight. Furthermore, I didn't use the prescription files and the informations about the allergies were pretty useless for me too. Did anyone use these? In the end I had about 380 features which I fed into a GBM.That's it. Unfortunatly I didn't select my best submission (would have been 12th place). Given that, the most important thing I learned from this competition is to have faith in your CV-scores.",1,bronze,7 ,Tue Sep 11 2012 18:17:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2639,/competitions/pf2012-diabetes,19th
/mvolkovs,window/app times,"Hi, In the data description it states that: ""In each window, we give you all the job applications that users in that window made to jobs in that window during the 9-day training period."" However in the apps.tsv file line 13 is: 72 1 Train 2012-04-30 20:05:15.293 480634 The application date ""2012-04-30"" is outside of the 9-day training period for window 1 which is from 2012-04-01 to 2012-04-10. There are lots of other apps like this so it seems like we also get the applications that the users made *outside* of the 9-day period, is this also true for the 4-day test period? Thanks, Maks",1,bronze,4 ,Tue Sep 11 2012 18:21:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2640,/competitions/job-recommendation,23rd
/soumyaranjan0,Actual test data of trade prices ,"Kaggle admins, I am an undergraduate student working on a small data mining project as part of my course work. Could you please give me access to the actual test data (of trade prices), so that I can test them against the predicted values, which I have generated using various modelling techniques. This would help me considerably in finetuning my model. Thanks very much. Soumya Ranjan Panda",0,None,4 ,Tue Sep 11 2012 23:49:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2642,/competitions/benchmark-bond-trade-price-challenge,None
/bedwal,Change Selected Submission,"Hi Admin, Please change the my selected submission to the latest one uploaded by me, I was under the impression that the latest entry will be automatically selected, but, an earlier entry (from the validation phase) is selected. Regards Jitender Bedwal",0,None,1 Comment,Wed Sep 12 2012 02:09:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2643,/competitions/GestureChallenge2,8th
/orangepips,Multi Class Log Loss Function,"Is the following Python code an accurate representation of how submissions are evaluated? I've played with this to help me evaluate my modelling, but wanted to make sure I understood how the evaluator worked. I believe I'll need to add a PostId to the prediction data when I submit, but have not included that for simplicity's sake in this example code. from __future__ import division import csv import os import scipy as sp def llfun(act, pred): epsilon = 1e-15 pred = sp.maximum(epsilon, pred) pred = sp.minimum(1-epsilon, pred) ll = sum(act*sp.log(pred) + sp.subtract(1,act)*sp.log(sp.subtract(1,pred))) ll = ll * -1.0/len(act) return ll def main(): pred = [ [0.05,0.05,0.05,0.8,0.05], [0.73,0.05,0.01,0.20,0.02], [0.02,0.03,0.01,0.75,0.19], [0.01,0.02,0.83,0.12,0.02] ] act = [ [0,0,0,1,0], [1,0,0,0,0], [0,0,0,1,0], [0,0,1,0,0] ] scores = [] for index in range(0, len(pred)): result = llfun(act[index], pred[index]) scores.append(result) print(sum(scores) / len(scores)) # 0.0985725708595 if __name__ == '__main__': main()",3,None,5 ,Wed Sep 12 2012 03:31:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2644,/competitions/predict-closed-questions-on-stack-overflow,96th
/chaosdecoded,Physician with Machine Learning skills will team up.,"I am a physician with tones of ideas for feature engineering and some ideas for algorithms with slow coding skills (R project). I did some coding here on Kaggle with some (I consider it not bad for myself) minor succes, check my results. I did publish papers (using R project and Random Forest) on readmissions. (Google ""Kiljanek CHF HFSA"" and ""Kiljanek COPD readmission machine learning""). I did practice in US, so I know the system - from inside.... Why people are readmitted, discharged, why discharge may be discountinued, why it may be fastened. I am interested in serious cooperation with best people out there who will seriously try out my features and algorithms.",0,None,28 ,Wed Sep 12 2012 19:09:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2646,/competitions/hhp,None
/nickkolegraff,[Call for help] Exposing the Dataset for Research Purposes,"I know many have talked to me about this in passing or just general email, so I've started building a proposal to release this dataset to remain in the community for non-commercial open research, there is some traction...But, I need everyones help. If any one is interested in working on this data set for specific research purposes please send me an email with: 1. Your research focus area 2. Intention of use 3. University affiliation Feel free to send this message to anyone you think would be interested!! #opendata nicholas.kolegraff@bestbuy.com",0,None,2 ,Wed Sep 12 2012 20:34:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2647,/competitions/acm-sf-chapter-hackathon-small,None
/barrenwuffet,Maybe helpful,"Not sure if this is helpful to anyone but it seems to match closely with this dataset. http://www.geolytics.com/USCensus,Estimates-Projections,Data,Variables,Products.asp",1,bronze,1 Comment,Thu Sep 13 2012 17:01:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2651,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,9th
/balazsgodeny,Quality of final data,"Do I get it right that the final evaluation data was randomly sampled from the same data set that we have for training and no additional checks, clean up, consistency checks or other quality improvements are made? So that we can expect the same (unfortunately extremely low) quality of annotations? Thanks.",0,None,1 Comment,Thu Sep 13 2012 21:28:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2652,/competitions/cprod1,4th
/theovanrooy,confused...,"I'm fairly confused by the description and the datasets here so I'll post my understanding of the competition, hopefully be corrected and maybe it will benefit anyone else out there like myself. -The targets (what will be predicted) in the training set are each of the 7 normalized power readings. -The values in the benchmark dataset are ""dummy"" predicted values just to give us an example of what a submission looks like -Or is it that the benchmark dataset actually has useful information in it? - A submitted result would replace the ""dummy"" data in the benchmark set with our predicted values. Theo",0,None,8 ,Thu Sep 13 2012 23:25:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2653,/competitions/GEF2012-wind-forecasting,None
/benoitplante,Training data order,"I understand that the test and training datasets come from different batches. But what about the training set itself, was the molecule row numbers were chosen in random order, or not?",0,None,1 Comment,Fri Sep 14 2012 04:01:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2655,/competitions/MerckActivity,95th
/basantdagar,Files are not tab delimited,Has anyone faced this issue that files are not consistetly delimited by a tab. I was looking ate= jobs.tsv files under splitjobs.zip. due to this I can't open these in Excel or SAS Jmp. Please share your experience. Thanks--b,0,None,1 Comment,Fri Sep 14 2012 19:54:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2661,/competitions/job-recommendation,None
/jsradford,Dictionaries and Documentation,"Hey, I was checking through the readme and layout files and they indicate that there should be dictionaries for each table indicating the various values for variables like types of committee designations as well as the raw FEC documentation for each table. Are those going to be made available or should we hunt them down at the FEC website? Thanks, Jason",0,None,3 ,Fri Sep 14 2012 23:22:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2663,/competitions/cir-prospect,None
/codeexpress,Seeking teammates,"I am looking for a teammate for this competition. I am thorough with various ML algos and have done well in a previous kaggle competition (4th in RapLeaf). I also have some extra time on my hand between now and the deadline. If you are interested in joining, send a note about yourself and I can share more details. I work at HackerDojo, so will be a place to meet if you are in the bay area. Best Vineeth",0,None,1 Comment,Sat Sep 15 2012 03:32:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2667,/competitions/acm-sf-chapter-hackathon-small,6th
/iguyon,Fill out FACT SHEETS,"Dear challenge participants, Many thanks to all for your participation and congratulations for the progress made compared to round 1. The ranking on the final evaluation set will be soon published. While we are finishing up the challenge verifications, please fill out [Link]:https://docs.google.com/a/chalearn.org/spreadsheet/viewform?formkey=dHJURU9HRm9LS0t1ZGkyNzhWZFRFQUE6MA#gid=0. This is a requirement to be part of the final ranking ant it will greatly help us analyzing the results of the challenge. Deadline: September 21. We also encourage all the participants to submit a paper on their method. See Instructions. The deadline is [Link]:http://gesture.chalearn.org/dissemination/call-for-papers. Thank you in advance. Isabelle",0,None,2 ,Sat Sep 15 2012 17:13:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2669,/competitions/GestureChallenge2,None
/dealga,indiv2012.csv contains a \A0,"While reading this in with python 3.2, either csv.reader or open, I got a cannot decode utf-8. No big deal, i've seen those before. But because the file is rather large I had to split this in linux using split -l 100000 indiv2012.csv indiv2012_split to figure out where the problem was. nicarid 1386221, there appears this control character(?) \xa0 inbetween ""SANSBERRY DICKMAN FREEMON & "" in indiv2012.csv and a few more times in the rest of the file. My question is did anyone else have problems with this, reading this as ISO-8859-15 seems ok.",0,None,8 ,Sat Sep 15 2012 17:56:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2670,/competitions/cir-prospect,None
/dpopken,submission format,"The submission format posted on the submissions page differs from the format of the random forest submission sample. They conflict in the number of rows (83502 versus 83503, i.e. header or not). In addition the posted spec says that the prediction should be in column 171? That implies an awfully large submission file. Am I reading this wrong? Can you clarify?",0,None,2 ,Sat Sep 15 2012 19:01:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2672,/competitions/us-census-challenge,17th
/manx56060,wind direction convention clarification,"Hi, I have a question regarding wind direction, which seems to not be following convetion. Wind direction is typically measured and reported as the direciton the wind is coming FROM, so a 90 deg wind (an East wind) is coming from the east. According to the u and v components provided, this is not the case with this dataset--wind direction is being given as the direction the wind is heading TOWARDS. (positive u = east = 90, when in reality positive u should mean coming from the west = 270). Should I assume that in this particular dataset wind direction is just using a peculiar convention? or were the u and v values miscalculated? (I realize that for the most part this won't effect any correlations, but as a meteo geek it's been bugging me) Thanks! Manx",0,None,4 ,Sat Sep 15 2012 22:31:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2674,/competitions/GEF2012-wind-forecasting,98th
/trialbyfire,Let's talk unbalanced data sets,"okay, so the data is presented as days in hospital, and it gets you thinking that this should be a regression and one should try to predict each member's dih as accurately as possibly. But then we know that the ""best constant value"" benchmark of 0.21 is way better than most models people are chucking together. So this suggests that it's hard to separate out classes of members...I like the idea of betting with means and groups of some kind, rather than placing unique individual bets on every individual. The simplest possible split is a binary classifer. 0 days or 1 or more days. Then this contest allows us to provide a mean of some kind for each group..i.e. we get to provide real numbers, not integers. Obviously something slightly smaller than 0.21 will be best for the 0 day guessed group, and something more than 0.21 for the 1 or more day guessed group. I've been playing with a binary classifer with 0.15 and .85 (or more, like 1 to 1.5) constant values for each group. I've been oversampling the minority output classes with different weights to get better error rates on the minority classes (compared to the majority 0-day output class) I'm thinking there's more blood to squeeze from this approach, but don't have the knowledge. There are two interesting papers from 2002 and 2011 on dealing with unbalanced data sets and binary classifiers: ""SMOTE: Synthetic Minority Over-sampling technique"" and ""Clustering-Based Binary-class Classification for Imbalanced Data Sets"" Question: what's considered the defacto state of the art for binary classifiers on unbalanced data sets? undersampling majority? oversampling minority? weighted output classes (I""m using RF)...thresholding on tree voting? I've seen people mention them all and am trying some. I'm also encouraged by the use of extremely random trees (scikit ExtraTreeClassifiers) because of different bias behaviors. thoughts/direction? I'm no expert here.",2,None,7 ,Sun Sep 16 2012 07:52:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2675,/competitions/hhp,714th
/balazsgodeny,Can't attach model,"I made a submission but couldn't attach a model, it is not supported on the interface any more. Can this be fixed soon so that I can resubmit the same? I hope this can be done so that it doesn't count against my daily submission limit. Thanks, Balazs",0,None,6 ,Sun Sep 16 2012 11:09:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2676,/competitions/cprod1,4th
/radha2016,what is the format for submission,I submitted the predicted values with user in the first column and predicted values in the 2nd column in a csv file.It throws an error saying that some values are either too large or too small. what is the format?,0,None,3 ,Sun Sep 16 2012 20:52:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2677,/competitions/acm-sf-chapter-hackathon-small,76th
/viveksha,Winning Solutions,I was wondering when the winning solutions will be posted to the forums. I thought the rules stated that as a requirement?,0,None,5 ,Mon Sep 17 2012 15:14:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2679,/competitions/emc-data-science,5th
/zygmunt,Beating the benchmark (with code),"Here's a short write-up of this challenge: http://fastml.com/best-buy-mobile-contest/ The attached script takes a few seconds to run and produces a score of 0.728. P.S. Please use ""thank"" link if you find the post interesting.",14,gold,1 Comment,Mon Sep 17 2012 20:18:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2680,/competitions/acm-sf-chapter-hackathon-small,37th
/viveksha,Noisy Labels?,"Even though the task was to detect insults and not just profane language, I felt that many labels might have been assigned incorrectly. Did anyone else feel the same? Or, maybe it was a matter of subtle differences? Is the labeling error rate known? thx.",0,None,5 ,Tue Sep 18 2012 16:15:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2689,/competitions/detecting-insults-in-social-commentary,1st
/byang1,Winners' source code and model paper,"Hi, According to contes timeline: Monday, September 17, 2012: Deadline for preliminary winners to open-source models and publish their methods papers Has this been done yet ?",6,silver,10 ,Tue Sep 18 2012 19:24:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2690,/competitions/asap-sas,14th
/ccccat,Public forum for private Allstate competition,"I assume that by making private Allstate competition visible Kaggle wants us to actively discuss it. There is a phrase attributed to Winston Churchill (probably incorrectly) that watching Soviet politics from the outside as like watching dogs fighting under a carpet. It is clear that something is happening, but it is hard to tell what. We will have little bit more (but not much more) information observing Allstate competition. Being one of many Russian Kaggle members I will pretend that I am uniquely qualify to make comments about ""under carpet fights"" , which I am planning to post here (And I encourage others to do the same) (Kaggle, please tell me if you think that discussions are inappropriate)",9,silver,50 ,Tue Sep 18 2012 19:43:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2691,None,None
/emiliogortizg,Final submission,"Is it possible to make the final submission currently?? I tried to make it but I received an error message: EXCEPTION: Index was outside the bounds of the array. I do not know whether it is a bug on my code or it is not available yet or I need any additional instructions. In order to have enough time in case it is a bug, I prefer to ask. By the way, what is the test.csv file? Do we need it somehow?",0,None,1 Comment,Tue Sep 18 2012 20:15:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2693,/competitions/cprod1,5th
/geodemographer,External Data,"What is meant by ""External Data (deadline is 10/25)""?",0,None,1 Comment,Tue Sep 18 2012 20:32:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2694,/competitions/us-census-challenge,None
/irreverent,full data set?,"The posted data 'large' set seems to only be a small portion of the described full data set? It looks like it only has data from August through October of 2011, with about 1.8 million clicks and 1.2 million users? The task description talks about 2 years of data with 67 million clicks and 8 million users. The product data is almost 8GB, so the overall size meets the description - but there seem to be much fewer events. Did I misunderstand something about the description? Thanks for any clarification!",0,None,3 ,Tue Sep 18 2012 20:38:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2695,/competitions/acm-sf-chapter-hackathon-big,None
/rkirana,No way to get a Cross-validation estimate?,"Guess there is no way to do internal cross-validation on this. If one wanted to predict the sku that was clicked, one could have used train dataset split into training and validation. How do we get reliable CV estimates on this one?",0,None,4 ,Tue Sep 18 2012 21:44:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2697,/competitions/acm-sf-chapter-hackathon-small,45th
/gregorypark,Final submission - ID column?,"Hi, The submission page notes that predictions should be in column 2. Should column 1 be the IDs from the verification set? I submitted one two-column entry (IDs, predictions) and one one-column entry (predictions only), and both returned the expected score of 0.000 without an error message. Thank you.",0,None,7 ,Wed Sep 19 2012 00:26:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2698,/competitions/detecting-insults-in-social-commentary,36th
/joycenv,Evaluation Phase for CPROD1,"The CPROD1 competition is now in its evaluation phase. Please download the evaluation data set from the [Link]:https://www.kaggle.com/c/cprod1/data and run your models on that. Submit your solutions via the submission page as usual. 100% of the evaluation set is connected to the private leaderboard and will determine the final winners of the competition. Therefore, after submitting your solutions, you will not see any changes on the public leaderboard. The private leaderboard will be revealed when the competition ends on Sept 24. Only those participants that have previously submitted model code will be eligible to win this comp's prizes. Good luck to everyone!",0,None,5 ,Wed Sep 19 2012 00:43:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2699,/competitions/cprod1,None
/chrisbrew,Submission formats,"The submission interface currently - restricts submissions to 5 per 24 hour period. Is this restriction helpful at this stage of the competition. - offers no obvious place to attach code, Is this actually expected, given that we already attached the code? - isn't very clear on what formats are allowed. I made two submissions with the columns ""Insult Date Text"" (submissions like this were correctly scored in the previous two stages, but the leaderboard complained mildly this time) and three with 'id Insult'. Will ""Insult Date Text"" be correctly scored?",0,None,12 ,Wed Sep 19 2012 02:36:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2701,/competitions/detecting-insults-in-social-commentary,4th
/wilsta,Can I still enter?,"Am I too late to enter? I've just noticed this competiton on Kaggle ... I don't see any options under the ""Make a submission"" menu which allows me to submit anything ... or am I doing something wrong?",0,None,1 Comment,Wed Sep 19 2012 03:05:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2702,/competitions/detecting-insults-in-social-commentary,None
/nlubchenco,R code for WMAE (evaluation metric),I'm unsure if this returns the appropriate result: WMAE store for(i in 1:nrow(observed)){ store[i] } return(sum(store)*(1/sum(weight))) } Thanks for any help getting this figured out. ~editted out question answered by reading a bit more carefully...,0,None,3 ,Wed Sep 19 2012 04:19:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2703,/competitions/us-census-challenge,177th
/heisenbug,Cannot make a submission,"Hi, The make a submission page ask for my team name but there is no button to upload data anywhere. Drag and dropping files does not work either. Hence I cannot submit. Is this an issue? Regards, Serge",0,None,1 Comment,Wed Sep 19 2012 05:05:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2704,/competitions/digit-recognizer,None
/aranauro,Verification Submissions,Once we submit our 5 verification models with attached code should we select the check box next to each one on the submission page and then hit submit selection changes at the bottom of the page or are we good to go upon submission? Thanks,0,None,1 Comment,Wed Sep 19 2012 11:15:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2705,/competitions/detecting-insults-in-social-commentary,30th
/sondrelu,Make a submission og Create team funker ikke!,"Når man trykker på [Link]:http://inclass.kaggle.com/c/tdt4173-2012/submit, ber siden oss om å lage et team. Lengre enn dette går det ikke an å komme, for det finnes ingen knapp for å lagre eller godkjenne laget sitt?!",0,None,2 ,Wed Sep 19 2012 13:14:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2706,/competitions/tdt4173-2012,33rd
/vikasdesai,Problem with submissions!!!,I am not able to make submissions to contests I have not registered earlier. For the ones I have already made a submission earlier are working fine.,0,None,6 ,Wed Sep 19 2012 15:31:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2707,None,None
/srgodbole,Model ZIP files missing?,"I made 2 submissions on the final verification data. I attached the model code file with each (named ""Model 8.zip"" and ""Model 9.zip""). Then when I went to the ""My submissions"" page, I saw that the model code files from 2 of my 5 earlier locked submissions (on the test data) do not show any attachment. These 2 submissions also had the model code files named ""Model 8.zip"" and ""Model 9.zip"". I can see the model code files on my other 3 locked submissions (""Model 5.zip"", ""Model 6.zip"" and ""Model 7.zip""). Admins, can you please explain what might be happening?",0,None,7 ,Wed Sep 19 2012 16:39:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2708,/competitions/detecting-insults-in-social-commentary,17th
/karansarao,Unable to submit - Admin,"Stupid question, but the page isnt allowing me to proceed without selecting a team. When i go to make a submission, it asks me to select additional team members, no option what so ever to proceed ahead... Where do I click?? how do I submit a file!!",0,None,2 ,Wed Sep 19 2012 17:11:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2710,/competitions/MerckActivity,202nd
/barrenwuffet,Post-Mortem,"Anybody do or find anything interesting in this dataset? Or find any good tools for working with large data sets? I found it barely manageable given the size. It also took me awhile to wrap by head around what was in each of the files. Also the database restrictions (1 and 2 but not 3, 1 and 2 and 3, 2 and 3 but not 1, etc) made a really difficult task much harder and considerably less enjoyable. I ended up having to write 12 large files (and accompanying SQL code) for each model to compensate for this. I started out with a ~2% sample of the training data in R but even this was rough. I tried using the ff package without much luck. I ended up doing most of the data manipulation using SQL Server 2008 R2 Express and the SSMS which I found to be a bright spot in the whole process as it performed really well given the data size. I especially appreciated the data import manager which helps with wide data sets. My best model ended up just being prior averages for prospectid, zip5, and packageid with linear regression. I predicted donation amount (not amount2) and response rate using separate models. I'd then do predictedGift^1.15 * predictedResponseRate for a final prediction. I tried to use some of the demographic data but had a hard time as I was using zip5 as the key to get state abbreviations as a factor, but some of the zip codes cross state lines which leads to duplicates and zip9, even when indexed, just took too long. I think the contest was a cool idea but would have been much better on just one of the 3 databases. Without that restriction I would have had more time to explore the demographic and historical data. The one thing I would have really liked to explore is people's giving before the training period especially as much of the mailings seemed to be political and the test data is sitting within 12 months of a presidential election.",4,bronze,9 ,Wed Sep 19 2012 19:36:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2712,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,9th
/rkirana,Just averages,"There is no way to get a CV comparison on MAP. Actual user-query clicks will happen on one item. Competition would have been more meaningful if one had to estimate the probability that a particular product was clicked via a log loss function.Example: in the EMC competition, the log loss function was used. I could get good CV estimates and was in the top 15%. Say there is user X, query Y. I predict he sees Z. What is the actual data in test in this case - it is that he clicked one SKUs which may or may not be Z. What is the MAP@5 being compared against - I mean why 5 SKUs when he can click only on one? given that train only has one SKU per row - how can test have more than one? I think one can just take the top 5 SKUs per query and get a reasonably decent score without CV and just using leaderboard. I am unable to understand the business reasoning behind MAP as a metric - when it can never be used in cross-validation",0,None,2 ,Wed Sep 19 2012 23:43:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2715,/competitions/acm-sf-chapter-hackathon-small,45th
/iamivo,Some info on bechmark,"Hi there, on page 90, on given dissertation there is this formula: Y = β0 + β1×Trend + β2×Day×Hour + β3×Month + β4×Month×T + β5×Month×T2 + β6×Month×T3 + β7×Hour×T + β8× Hour×T2 + β9× Hour×T3 that generates the benchmark. I just wanted to know how the temperature values were guessed by the benchmark, since in the datasets there are no temperature data.",0,None,3 ,Thu Sep 20 2012 03:00:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2716,/competitions/global-energy-forecasting-competition-2012-load-forecasting,43rd
/alessandrosena,How to download the data using wget?,"I want to download the data in with some bash alternative like wget, but the url is a redirect, hence I cannot download the files. There is a alternative links or something to use? Problem Solved: To download the files we used a text browser ;D",0,None,2 ,Thu Sep 20 2012 03:14:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2718,/competitions/predict-closed-questions-on-stack-overflow,135th
/adrianseeley,Early Visualization,Just stumbled into the competition this evening; Thought I'd share some early visualizations of the data. -8e [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4474/alldays_allwinds.png,1,bronze,4 ,Thu Sep 20 2012 04:36:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2719,/competitions/GEF2012-wind-forecasting,128th
/alessandrosena,Problem parsing train.cvs with basic_benchmark.py ,"I'm having a trouble using the basic_benchmark.py with the trann.cvs file, the problem is that when I parse the cvs file some rows have nan values to the column ""BodyMarkdown"". Some one had already this problem? I think this needs to be fixed and posted on github, mostly because new users will use this code. The problem is that one questions has no body text, but the real question on the site has some text. If you want to 'clean' the file here is my solution: import csvimport sysfrom datetime import datetimeimport timed = {}def parse_line(PostId, PostCreationDate, OwnerUserId, OwnerCreationDate, ReputationAtPostCreation, OwnerUndeletedAnswerCountAtPostTime, Title, BodyMarkdown, Tag1, Tag2, Tag3, Tag4, Tag5, PostClosedDate, OpenStatus): print Title print BodyMarkdownifile = open('../train.csv', 'rt')ofile = open('../clean-train.csv', 'wt')f = csv.reader(ifile, delimiter=',')w = csv.writer(ofile, delimiter=',', quotechar='""')for row in f: if (len(row) == 15): if (len(row[7]) == 0): print row else: w.writerow(row) else: print rowifile.close()ofile.close()",0,None,4 ,Thu Sep 20 2012 06:58:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2720,/competitions/predict-closed-questions-on-stack-overflow,135th
/stupidbird,how did you do validation?,My best CV score model always get poor result in public leaderboard. From the Dataset page:it is expected that the distribution of descriptors will not necessarily be the same between the training and test sets. maybe this is the reason why my CV score is hard to match up with public leaderboard score. I don't think do validation can let things better.How did you do?,0,None,14 ,Thu Sep 20 2012 12:30:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2721,/competitions/MerckActivity,18th
/tuzzeg,Dumb mistake - what can I do?,"Hi admins, I just realized that I have dumb mistake in my submission generation script. I have one paramenter (lets call it n) and I've chosen two models n=2 and n=4. But now I see that in actual script I have n=2 and n=2, so these models are the same. This parameter will definitely affect the score, that is not a trivial bug. What can I do now - submit one n=2 model (according to locked code) or I can fix this mistake and submit two models n=2 and n=4? In README file I mentioned that I locked n=2 and n=4 models. Thanks!",0,None,1 Comment,Thu Sep 20 2012 18:37:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2722,/competitions/detecting-insults-in-social-commentary,2nd
/ronaldpark,Need simple explanation of Random Forest,"I'm looking for a simple explanation of how a Random Forest is built for this Digits Recognizer. More specifically, how does a single decision tree get created from the Train dataset. I can't seem to connect all the dots on how this all works. I guess my question is, if you had to create just One decision tree by hand from the Train dataset. Can you layout the steps to do this? (I assume you take a random sample of rows, and then what do you do to those rows to come up with the decision tree?) And what would that decision tree look like?",0,None,3 ,Fri Sep 21 2012 00:17:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2726,/competitions/digit-recognizer,None
/cprod1,Paper deadline October 13th ,This is an early reminder that Saturday October 13th is the hard-deadline for submission of 2-3 page report on your CPROD1 solution for publication within the proceedings of the half-day workshop at ICDM on the contest. Submissions will referreed for admitance. The paper must emailed to cprodone@gmail.com in [Link]:http://icdm2012.ua.ac.be/sites/icdm2012.ua.ac.be/files/doc-submission.doc. Early submissions will be reviewed for suggested enhancements. The CPROD1 team,0,None,4 ,Fri Sep 21 2012 04:19:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2727,/competitions/cprod1,9th
/borisgorelik,Datasets license,How do the datasets of this (Merk) competition can be used outside Kaggle competitions? Thank you,0,None,1 Comment,Fri Sep 21 2012 15:18:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2730,/competitions/MerckActivity,None
/ccccat,One more clarification is needed,"I, probably, know the answer, however I would like to clarify it. Do I understand correctly, that to make a prediction for time segment from T to T+47 we cannot use wind forecasts and power measurements generated after time T as input parameters even if they are available in the data? What the sentence ""Inbetween periods with missing data, power observations are available for updating the models."" suppose to mean? Thank you.",0,None,10 ,Fri Sep 21 2012 20:07:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2732,/competitions/GEF2012-wind-forecasting,9th
/goog259554,Inconsistent data?,"I find that Member 36172845 spent 15 days in hospital in Y3 but had no claim in that year. Member 35838713 had a claim in Y3 that has length 4-8 weeks in [Link]:http://www.heritagehealthprize.com/c/hhp/forums/t/516/suplos/3385#post3385. However, that member doesn't exist in the Y3 days-in-hospital report. Those members are just examples from the data set. Do I mis-interpreret the data? Can someone explain?",0,None,6 ,Fri Sep 21 2012 22:19:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2734,/competitions/hhp,None
/sourabh1,Running Basic benchmark,"In the readme on git it is mentioned that we need only train-sample.csv and public_leaderboard.csv to run the benchmark code. But when I ran the code it says train.csv not available? On what data set is training of basic benchmark is done, and why do we need botth files train.csv and train-sample.csv",0,None,2 ,Sat Sep 22 2012 07:28:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2736,/competitions/predict-closed-questions-on-stack-overflow,110th
/roulinir,ask the leaders - what should have I done to avoid overfitting?,"On the milestone leaderboard, I was one place behind Vivek Sharma. In the private leaderboard, he's at first place, while I'm all the way back at the 26th. He went up eleven places, while I dropped thirteen. This is my second Kaggle competition, and it was bound to happen, sometime. Now it's time to learn from my mistakes - what should have I done differently?",0,None,12 ,Sat Sep 22 2012 07:46:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2737,/competitions/detecting-insults-in-social-commentary,26th
/glider,Splunk Innovation Prize Results,"From the Splunk Team: We are pleased to recognize 2 winners for the Splunk Innovation prize. Ali Ahmad (aka [Link]:https://www.kaggle.com/users/51992/xali) used Splunk's built in statistical and visualization features to map out the relationship between blogs containing YouTube videos with those that are most likely to be viral, as measured by likes and shares. As a bonus, he fed the data into an app to view the YouTube videos most commonly liked and shared via WordPress blogs! We are also pleased to recognize [Link]:https://www.kaggle.com/users/50061/yablokoffwho measured virality based on factors such as length of post, and inclusion of video or images.",2,bronze,2 ,Sun Sep 23 2012 00:26:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2738,/competitions/predict-wordpress-likes,None
/byang1,Questions for winners,"Congratulations to all winners. Since there's no questions-for-winners thread yet, I'm starting this one. ------------------------------------ A question to ""As High As Honor"", can you give a detailed explanation to the following paragraph ? These “shorter” essays were converted to bag-of-words matrices using a hashing trick[3] that converted them to 100-dimensional matrices. These matrices were used to cluster the chunks into 30 categories. The final 30-dimensional feature was a matrix with binary features (1 - if the chunk is present in the essay or 0 - otherwise). ------------------------------------ To everyone, how much do you think n-gram (I mean 2-gram and higher) features contributed to your final results ? If you were to rebuild your models without n-gram features, how much worse would your score be ? ------------------------------------ Thanks and congratulations again.",0,None,4 ,Sun Sep 23 2012 02:41:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2739,/competitions/asap-sas,14th
/heirloomseed,Leaderboard Data ,"Hi Ben, Could you please let us know if the score data for the two witheld sets will be released, and if so when that might happen? Many Thanks, HS",0,None,10 ,Sun Sep 23 2012 04:39:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2740,/competitions/asap-sas,35th
/bsatya,Error running Sample R code,"I am new to this competition and would appreciate if someone can help me with, what could be a stupid, question. When I try to run the sample R code provided along with the datasets, I get the following error: Error in eval(expr, envir, enclos) : could not find function ""aaply"" Searching in Google was of not much help either for ""aaply"" function. Any help?",0,None,1 Comment,Mon Sep 24 2012 07:20:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2742,/competitions/us-census-challenge,184th
/praveenbalaji,Prescribed code language?,"Is there is a prescribed programming language in which the winner of this competition has to submit their code in? I see python used everywhere, but can one use SAS etc.? Thanks Praveen",0,None,2 ,Mon Sep 24 2012 07:27:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2743,/competitions/acm-sf-chapter-hackathon-small,52nd
/amuellerml,What did you use?,"I would be very interested to see what other people used (languages, packages). I [Link]:https://github.com/amueller/kaggle_insults/ and [Link]:http://peekaboo-vision.blogspot.de/2012/09/recap-of-my-first-kaggle-competition.html. Basically I used mainly character n-grams and logistic regression from scikit-learn. Chris Brew (came in fourth) also commented there. He used a similar approach and also published his code. Vivek Sharma, the winner, also used scikit-learn as he said on the scikit-learn mailing list. (I don't want to say anything about his approach as I am not sure what he wants to disclose). I would be really interested if the other leaders also used scikit-learn or maybe R or weka or anything else? Cheers, Andy",19,silver,28 ,Mon Sep 24 2012 12:42:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2744,/competitions/detecting-insults-in-social-commentary,6th
/plusbzz,Using a Kaggle contest as a term project,"Hi everyone, I'm fairly new to Kaggle, so please feel free to direct me appropriately if this topic has been discussed before. I'm starting a machine learning course at school which requires a significant term project. I'm wondering if I can use a data set from a Kaggle competition for that purpose without violating Kaggle's terms of use (obviously, assuming the teaching staff from the course is ok with this). Is it possible to use the data from an ongoing or completed Kaggle contest for my term project? For an ongoing contest, I'd be happy to submit my entries. Cheers, Raj",4,None,10 ,Mon Sep 24 2012 17:12:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2745,None,None
/mikeyg,Basis of Multi-Class Log Loss in Literature or Journals?,"Good evening. I have noticed the evaluation technique on this competition and was curious if this technique is used to evaluate multiclass probabalistic models in academic works? If so, is this a new technique or a technique that has been around for a while. Thank you for any guidance. Mike",1,None,2 ,Tue Sep 25 2012 05:28:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2748,/competitions/predict-closed-questions-on-stack-overflow,None
/ragothamanbala,apps data,"How many records are there in this file ? Just to check if importing was successful. Is it 1,603,111 ?",0,None,1 Comment,Tue Sep 25 2012 05:36:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2749,/competitions/job-recommendation,66th
/albeam,Seeds and solution variation,"If we are using any algorithms with randomness (e.g. the sample randomForest solution), should we be prepared to submit the seeds we used for these algorithms? My solutions don't vary by much, but of course this introduces some small amount of randomness into the solution.",0,None,7 ,Tue Sep 25 2012 16:52:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2753,/competitions/us-census-challenge,18th
/byang1,misc questions about data,"I took a look and noticed that over 60% of committees don't have a political party specified (committee_party field is blank). Are most committees registered without a party, or is this some sort of data error ? There're also about 10 committees registered as DEM/REP but suppporting REP/DEM candidates (I'm ignoring other parties for this), I guess these are party defections and they never bothered to update their committee registrations ?",0,None,4 ,Tue Sep 25 2012 19:07:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2755,/competitions/cir-prospect,None
/del=0344ac6154f2b9d5,Are there Google calendars for kaggle's competitions?,"Hello, I think it will be more convenient if there's one, where we can browse the open date or the close date of a certain contest.",0,None,10 ,Tue Sep 25 2012 22:50:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2756,None,None
/paperplates,headers in submissions,"Hi comp admins - i uploaded two submissions with headers today, because i believed headers were optional. the submission dialog led me to doubt this. (in fact the second submission was an attempt to interact with the submission process more successfully than at my first attempt.) could you clarify please? Thanks. pp",0,None,1 Comment,Wed Sep 26 2012 16:08:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2758,/competitions/acm-sf-chapter-hackathon-small,71st
/aowang,a problem about frequency counts files.,"It is said that there are some files telling the frequency counts, however, i dont find them in the zip....so where can i find them?",0,None,2 ,Wed Sep 26 2012 23:47:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2760,/competitions/cir-prospect,None
/aowang,A question about the submission,"It seems that things which are submitted are ideas rather than technique details and codes, right?",0,None,1 Comment,Thu Sep 27 2012 21:22:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2763,/competitions/cir-prospect,None
/dchudz,Milestone 3 Papers Available,"The papers written by the milestone winners are now available as attachments to this forum post. As described in section 13 of the [Link]:http://www.heritagehealthprize.com/c/hhp/Details/Rules, if you have any concerns about these papers, you have 30 days from their posting to provide your feedback. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4568/Milestone3_Willem_Edward.docx [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4569/crescendo_milestone3.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4573/Milestone3_Willem_Edward 1.pdf",4,bronze,22 ,Thu Sep 27 2012 23:51:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2764,/competitions/hhp,None
/dchudz,Deadline for New Entrants or Team Mergers,"The competition rules specify that after October 4, 2012 at 06:59:59 UTC, we can have no new entrants or team mergers. A few things to note about that: We don't have the ability to forcibly block new submissions, but contestants who enter after that date will not be eligible and may be removed from the leaderboard. We'll add very large letters to the top of the contest description to make sure people notice this, and we'll also write to anyone who may enter by mistake. The rule actually says ""You may register at any time prior to 06:59:59 UTC on October 4, 2012."". Our interpretation of ""registering"" is that you have registered if and only if you have agreed to the contest rules. (Because it says after you register you have access to the data and may join a team. So registering for the contest isn't the same as making a Kaggle account, and isn't the same as making a team.) Contestants who have registered prior to the deadline but not yet joined a team may form their own team or even may still join another team. This isn't a ""team merger"", since they haven't formed or joined any team yet.",0,None,6 ,Fri Sep 28 2012 01:34:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2765,/competitions/hhp,None
/paperplates,what happens after the deadline?,"quote from the data submission page : ""You can select up to 5 submissions that will be used to calculate your final leaderboard score. If you do not select them, up to 5 entries will be chosen for you based on your most recent submissions. Your final score will not be based on the same exact subset data as the public leaderboard, but rather a different private data subset of your full submission. Your public score is only a rough indication of what your final score might be. You should choose entries that will most likely be best overall, and not necessarily just on the public subset."" for a newbie like myself, could anyone expand on the above? For example, my submission has 28241 rows, as requested. How is that then applied to make the final evaluation on the ""different private data subset of your full submission"". More generally, what exactly are the steps involved in the final evaluation. Are entrants required to submit code? Thanks.",0,None,3 ,Fri Sep 28 2012 12:38:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2766,/competitions/acm-sf-chapter-hackathon-small,71st
/clauchau,Any Daylight Time Saving and other time shifts ?,Hello! Are the timestamps in fixed GMT+N -- hence without any Daylight Time Saving changes occuring in March and November? Are the seven measures on the same row taken at about the same real physical time? Or are the seven measures on the same row taken at the same local time but not necessarily at about the same real physical time?,0,None,1 Comment,Fri Sep 28 2012 13:27:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2767,/competitions/GEF2012-wind-forecasting,102nd
/konradb,leaderboard problem?,"Hello, I made a (first) submission today, it's showing up under ""my submissions""- but not visible on the leaderboard. Any idea why that might be? regards, Konrad",0,None,4 ,Fri Sep 28 2012 17:55:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2768,/competitions/global-energy-forecasting-competition-2012-load-forecasting,8th
/hamed3,I need some help,"Dear Sir/Madam I am totally new in this topic and that is why I may have some stupic questions but help me please. If we know the wind speed and direction, how we can find the gerenerated power? I think it is hard becasue we do not know the air density, area of wind turbine blade and also cut off and cut in speed of wind turbine. Thanks for you advise. Best Hamed",0,None,2 ,Fri Sep 28 2012 18:27:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2769,/competitions/GEF2012-wind-forecasting,32nd
/astrodave,Welcome!,"Dear Kaggle Participants! Welcome to Titanic: Machine Learning from Disaster, a Kaggle getting started competition! I am an astrophysicist at heart and have recently started to learn the ways of Python and Machine learning. I know how hard it is to get your head around some of the data sets published, so to this end I have created this getting started competition which walks you through how to handle data and how to create simple but affective submissions. The Titanic story is extremely famous and tragic, with the 100 year anniversary passing earlier this year the competition seeemed perfect. The aim of Titanic is to give confidence to those scientists who may have expertise in other areas however machine learning is a bit of a dark art. We want competitions to be fun and accessible so if you are new to machine learning please read the tutorials and make some submissions. If you have any questions, ideas, thoughts and feedback that you would like to share please use this forum! Good luck with these tutorials and any further competitions you compete in. Astrodave",11,silver,10 ,Fri Sep 28 2012 23:27:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2771,/competitions/titanic,None
/martinoleary,"""Last post"" forum bug","When I look at the list of forums, the last post in the Kaggle Forum is listed as ziyuang's post in the ""Are there Google calendars for kaggle's competitions?"" thread. If I click through to the forum itself though, there's a newer post by Sergey Yurgenson in the ""Public forum for private Allstate competition"" thread. What gives? And yes, I realise that by posting this, I've probably destroyed all evidence of this bug.",0,None,2 ,Fri Sep 28 2012 23:41:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2772,None,None
/datagaze,sluggish website,"I just wanted to point out that the heritage prize webpages are extremely sluggish. I have been trying to load the evaluation page correctly since yesterday, but every time it renders without the evaluation metric. Is there a pdf available with the evaluation metric? Thanks.",0,None,1 Comment,Sun Sep 30 2012 00:07:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2776,None,None
/zenog15462,How did you do it?,"First of all, congratulations to the winners! Now a question for all participants: How did you do it? Which methods and tools did you use? What worked? What did not work? I started with Foxtrot's Python-based solution, which basically does some normalization and suggests the most popular items for the given query, with the overall most popular items as fallback. Thank you for that contribution -- I think I would not have even entered the competition without reading this blog post ... I then added some functionality for cross-validation to the script, and started playing around. My last submission used weighted kNN based on the Jaro-Winkler ""distance"", with some smoothing applied before to the frequency statistics, and some category-specific changes to the query normalization function. The public leaderboard MAP@5 was 0.75717. Jaro-Winkler worked better for me than Jaro or normalized Levenshtein. Before that, I tried the most popular items for the given query, extended by the queries up to a certain Levenshtein distance threshold, which also gave decent results. Within this method, I tried out query normalization based on Soundex, Double Metaphon, and NYSIIS, but that was worse than the basic normalization. Coding was done in Python, using the Levenshtein, jellyfish, and fuzzy libraries. Details and source code will follow. How about you?",3,bronze,16 ,Sun Sep 30 2012 15:07:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2777,/competitions/acm-sf-chapter-hackathon-small,13th
/zenog15462,How did you do it?,"[Link]:http://www.kaggle.com/c/acm-sf-chapter-hackathon-small/forums/t/2777/how-did-you-do-it/14966 I basically used the same approach as for the small dataset, except: there was no category-specific normalization kNN computed from similar queries within the same category if there were less then 5 items from the kNN, extend the list with most popular items by category, most popular (global) items by query, and globally most popular items My last submission was 0.57142. Instead of cross-validation, I used a 10% split for validation, and sometimes a smaller subset for development. Overfitting was no problem, and the differences between validation results were good predictions for performance on the leaderboard. The Python script for the final submission took 21.5 minutes to run on my laptop, so no real need for a cluster or cloud computing to tackle this problem ... well of course experiments would still run faster if you had several machines at your fingertips ...",2,bronze,2 ,Sun Sep 30 2012 15:36:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2778,/competitions/acm-sf-chapter-hackathon-big,6th
/abyalex,Kind of Hardware?,"Hello, I was wondering what kind of hardware have you all been using for this competition? Any cloud users as well? Thanks!",0,None,10 ,Sun Sep 30 2012 20:34:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2779,/competitions/predict-closed-questions-on-stack-overflow,None
/dslate,Submission format,"Can submissions be made in a compressed format, such as gzip or zip?",0,None,1 Comment,Mon Oct 01 2012 01:22:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2781,/competitions/GEF2012-wind-forecasting,13th
/marcolui,Clarification regarding 'choose 5 entires'?,"Hello! I recently received mail from Kaggle that said: This competition requires you to choose 5 entries that count towards the final result. How are these 5 entries used? This affects the strategy for choosing the 5 entires. For example, if the average result across the 5 entries is used, I would probably choose 5 copies of my best result. On the other hand, if the ""best"" predictions from each entry are used (for some to-be-specified defintion of best), I would choose 5 entries that maximize diversity. Finally, if the highest-scoring entry out of the 5 is chosen, I would submit entries that maximize different metrics, aiming to avoid overfit to the public leaderboard. Could you please give us some details on how the 5 entries are used in the final judging?",1,None,1 Comment,Mon Oct 01 2012 02:02:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2782,/competitions/alta-nicta-challenge2,1st
/stillsuit,Prize advertised as $1,Hi Anyone know why kaggle.com now has the prize as $1? Cheers John,0,None,3 ,Mon Oct 01 2012 11:11:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2783,/competitions/hhp,25th
/thebridge,what is the formula for evaluation the score?,"Due to some kind of glitch, the ""rules"" page no longer displays the formula for evaluating the score so I'm hoping somebody can help me out here!",0,None,3 ,Mon Oct 01 2012 14:27:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2785,/competitions/hhp,1252nd
/davidchapman,Definition of Weight Variable,I am just getting started and can not find the definition of the weight on the training data set. Can someone give me a reference on how to find it. Thanks! David,0,None,2 ,Mon Oct 01 2012 15:56:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2786,/competitions/us-census-challenge,None
/thakurrajanand,Weird things happening on Kaggle website,I have been watching few weird things happening on Kaggle website. 1) Heritage competiton price was $1 full day today. 2) At the day of launch Titanic competition was containing 10000$ price 3) In b/w due to some mismatching my rank became 24 few days back. I even have that snapshot for proof. I think there have been frequent technical problems with website. They should be fixed as soon as possible as kaggle is one of the most popular data sciences website.,0,None,5 ,Mon Oct 01 2012 21:00:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2787,/competitions/titanic,None
/laurakrashakova,Winning solution(s),I was wondering if the winning solutions were posted to the forum/blog. I could not find. Thanks!,2,None,6 ,Tue Oct 02 2012 01:32:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2788,/competitions/GiveMeSomeCredit,None
/jayjacobs,Error while running myfirstforest.py,"I am very new to this and I appreciate this entry level challenge, but I am getting an error while trying to run ""myfirstforest.py"" Traceback (most recent call last): File ""myfirstforest.py"", line 61, in <module> != '',3].astype(np.float))ValueError: could not convert string to float: male Looks like like 51 starts this by trying to replace male/female on like 51 with: #Male = 1, female = 0: test_data[test_data[0::,2]=='male',2] = 1 test_data[test_data[0::,2]=='female',2] = 0 I notice it's going on index 2... while line 60 (where the error is) has: test_data[test_data[0::,3] == '',3] = np.median(test_data[test_data[0::,3]\ != '',3].astype(np.float)) Trying to replace on index 3. I'd guess that those should be the same or am I missing something? Also, I'm confused by the test.csv and train.csv being different. The test.csv has an extra ""Family"" field in the csv that the train data doesn't have. I'm guessing that in order for the test and train data to perform properly that they should have the same columns when the random forest is called, right? I'll try to fix what I'm working on and test it out. Thanks, Jay",0,None,1 Comment,Tue Oct 02 2012 04:47:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2790,/competitions/titanic,None
/kingsfield,Looking for a Team to join in,"I'm an algorithm engineer (with a focus on computational advertising and recommeder system) from China. I'm new here and looking for a team for this challenge. I got 2th and 6th in these two competition: [Link]:http://www.kaggle.com/c/acm-sf-chapter-hackathon-big [Link]:http://www.kaggle.com/c/acm-sf-chapter-hackathon-small I'm looking for a team to join in. Please send me a message if you're interested in. Feel free to send me a message if you need more information. Best, Kingsfield",0,None,1 Comment,Tue Oct 02 2012 07:01:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2792,/competitions/hhp,5th
/slothouber,Implementation in R,"I posted this at the [Link]:https://class.coursera.org/compdata-2012-001/class/index class at coursera. (It teaches how to user R to do data analysis.) So to comply with the rules and make it available to everybody, I am posting it here too. It is similar to the random forest entry in python that is explained in the tutorial. But this one is in R. [edit 20-11-2013: code preview removed because it looks totally garbled up in the current viewer] [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4600/rf.r",23,gold,27 ,Tue Oct 02 2012 09:24:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2793,/competitions/titanic,None
/james30,Looking forward within the test-set?,Is it OK to use a model that uses the subsequent (predicted) status of a user's questions as part of its prediction for an earlier question?,0,None,1 Comment,Tue Oct 02 2012 11:25:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2794,/competitions/predict-closed-questions-on-stack-overflow,3rd
/jacobm,Python Boilerplate,"I decided to share the boilerplate for Python. I came up with an interesting solution to the managing models over so many CSV files. You could save a little memory by loading the test dataset when you need it, and not before. Usually I wouldn't nest magic variables like that, but there's not an obvious way around it without weirding up the call signature. You probably need to sample ACT1 and ACT6 to fit them in memory.",4,bronze,3 ,Wed Oct 03 2012 00:12:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2798,/competitions/MerckActivity,57th
/jxiesd,Join our team?,"This is SD_John_lily team. We have not worked on this competition for a couple of months. To our surprise, the team is still holding a top 10 postition in the private leaderboard. We plan to come back and try a little more on the project. If anyone or team who (ranked top 20 in either public leaderboard or private leaderboard) want to work together, please let me know.",0,None,3 ,Wed Oct 03 2012 00:48:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2799,/competitions/hhp,5th
/davethomas,Question on prize rules,"First, congrats to everyone who put this together and participated. It was a lot of fun. In the rules it states: Winning solutions must be posted to the forums Prizes will be awarded after the winners have posted their solutions to the competition forum What is sufficient for posting solutions? Do I need to submit code or just describe the process as I see others doing in a separate thread. I just want to make sure I follow the rules. Thanks for any guidance. Also, have the scores been verified (ie are the rankings yet official)?",0,None,8 ,Wed Oct 03 2012 12:48:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2801,/competitions/acm-sf-chapter-hackathon-small,1st
/solorzano,mysql dump,The readme file says there should be a file named fec.sql or fec2012.sql ready to be loaded into MySQL. Where can I find this file?,0,None,5 ,Wed Oct 03 2012 18:03:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2802,/competitions/cir-prospect,None
/pzawal,[R] Caret - searching for parameters without fitting final model,"Hi. I use caret to find optimal parameters, but sometimes I don't need final model - especially if some other parameter is intentionally small to make the search faster. I guess I may not be alone. I finally got angry at all that wasted time and money, sometimes the final fitting took longer than all of cross-validation. I made a quick fix by modyfing the file train.default.R by adding a very simple and crude if. The original version is 5.15-044 Now you can disable the creation of a final model by setting trainBest to false in train, example: model <- train(train, activities, method = ""rf"", trControl = fitControl, metric = 'Rsquared', tuneGrid = RFGrid, trainBest = FALSE, trace = 0, ntree = 75) finalModel and preProcess in result = NA with this option. Install by ""install.packages(""caret_modified_by_pawzaw.tar.gz"")"". Without trainBest set to FALSE caret behaves as original. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4636/caret_modified_by_pawzaw.tar.gz",4,bronze,4 ,Wed Oct 03 2012 23:24:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2805,/competitions/MerckActivity,33rd
/robboyle,Excel Walkthrough Last Step,"Seems like there's a step missing from the end of the Excel tutorial. At the end, the pivot table is expanded to show how ticket price and ticket class correlate with survival. However after this the tutorial jumps to ""and look how considering these factors improved my score!"". How are the class and price actually factored into the survival predictions? The initial model assumed that all females survived. How did this change now that sex, ticket class, and ticket price are all factors? This is a crucial step, somehow combining all these factors into a new ""survived"" column in test.csv, but it's essentially skipped over. Was this intentional? Is it left as an exercise to the reader to figure out how to tweak the predictions? As someone new to this whole scene it would be great if the walk through added some details as to how to go from prediction off a single, binary variable to the multiple variables, both binary and real.",4,bronze,7 ,Thu Oct 04 2012 05:01:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2807,/competitions/titanic,None
/drdanc,Missing crucial piece of information,"I know it's kind of late in the game but just wanted to bring up a crucial deficiency in the data, namely, lack of minimum education requirements for the job. A personal with only a high school diploma is less likely to apply for a job in his/her requiring a university degree than to a job in another state not requiring it. CareerBuilder/admin, please take care of it next time...",0,None,1 Comment,Thu Oct 04 2012 16:03:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2808,/competitions/job-recommendation,44th
/blackswift,Is the deadline the end of oct 8 utc ?,Now the timeline shows that there is exact 4.0 days left. so i suppose the deadline is actually not the end of oct 9. thanks.,0,None,3 ,Fri Oct 05 2012 01:01:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2811,/competitions/predict-closed-questions-on-stack-overflow,4th
/fmailhot,Submission format?,"The submission page indicates that the submissions should be predicted probabilities, i.e. numbers in [0.0, 1.0]. The sample submission files have integer predictions in {0, 1}. Which should we be doing? And do we really have to include the test data in our submissions? Thanks, fmailhot",1,None,2 ,Fri Oct 05 2012 05:32:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2813,/competitions/titanic,None
/heirloomseed,Continued Submissions,"Hi Ben, It appears that we can continue to submit to see what new models would have scored. This is great. Is this against the private LB data? Also, do you have any idea how long this will remain available? Ideally for me, another 3-4 months would be great. Thanks, HS",0,None,3 ,Fri Oct 05 2012 17:30:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2815,/competitions/asap-sas,35th
/krzysztofciesielski,Logistic Regression,Hello! I was wondering if Random Forests are the only logical choice of algorith for this task? I am currently participanting in Machine Learning course @Coursera and I learned how to use Logistic regression for classification problems. I haven't tried the Forest yet but I believe that Logistic Regression should also do the job here. What are the pros and cons of using LR for this particular case?,4,None,21 ,Sat Oct 06 2012 11:42:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2823,/competitions/titanic,None
/ahassaine,Question regarding windforecasts,"Hi! This is probably a dummy question, but I am just wondering what is the difference between those two rows in windforecasts_wf1 1) date= 2009070100, hors=13 and 2) date= 2009070112, hors=1 Shoudn't they be the same? Thanks, Ali",0,None,1 Comment,Sat Oct 06 2012 11:57:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2824,/competitions/GEF2012-wind-forecasting,90th
/worse555,"clarify, pleause?","Hello, everybody Pleause, answer to me. Do values in ""windforecasts-wf1"" correspond to column ""wp1"" in ""train""? or, another variant of the same question: Or, may be, we do not know what ""windforecasts_file"" correspond to value-power ""wp_?"" in ""train_file"" at the same data and hour ?",0,None,10 ,Sat Oct 06 2012 15:55:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2825,/competitions/GEF2012-wind-forecasting,None
/joycenv,Visualization Challenge Now Open,"The Visualization part of the Merck competition is now open! Click [Link]:https://www.kaggle.com/c/MerckActivity/prospector to submit your interesting and insightful visualizations of the Merck data sets and win a $2,000 prize! This is a great way to make use of any visualizations you used while working on the prediction challenge, or a chance to participate if you're just learning about this data set. The Visualization Challenge closes with the main competition on Tuesday, Oct 16.",0,None,1 Comment,Sat Oct 06 2012 17:10:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2826,/competitions/MerckActivity,None
/david25,Visualization Prospect,I don't see the link to submit/post my visualization prospect.,0,None,1 Comment,Sun Oct 07 2012 03:44:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2828,/competitions/job-recommendation,None
/beth61917,Laws regarding the use of campaign contribution information,"There are a bunch of laws that restrict how campaign contribution information can be used (see below). Are these laws applicable to this type of project or is this sort of project exempt? ""Reports and statements filed by political committees may be inspected and copied by anyone. The names and addresses of individual contributors, however, may not be sold or used for any commercial purpose or to solicit any type of contribution or donation, such as political or charitable contributions. 2 U.S.C. §438(a)(4); 11 CFR 104.15. This restriction applies to Federal reports and statements. Any person who violates this restriction is subject to the penalties of 2 U.S.C. §437g.""",0,None,1 Comment,Sun Oct 07 2012 06:47:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2829,/competitions/cir-prospect,None
/jasontigg,Post Mortem -- What data did you use?,I made no use of the job description or requirements. Anyone get much value out of those fields? I also only picked up 0.0030 using external data.,2,bronze,19 ,Sun Oct 07 2012 16:38:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2830,/competitions/job-recommendation,1st
/erengolge0,what is multi class loss that is kind a score on kaggle competitions?,"I am curious about the socore criteria of kaggle, multi class loss. I searched on internet but cannot find any source explaining. If someone can enlight me, will be grateful.",4,None,1 Comment,Sun Oct 07 2012 19:14:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2831,None,None
/lumilog,Installation Question,"I'm dying to give this tutorial a try, but looks like I first need a tutorial on just getting python and sklearn installed properly on Mac OS Lion. Actually, had no problem getting python 2.7 installed as well as the sklearn module downloaded through MacPorts, but I can't seem to get python to ""see"" the sklearn support module stuff. Initially python would barf on line 10 of myfirstforest.py and tell me: Import Error: No module named sklearn.ensemble. Somewhere I found someone with a similar issues which he fixed by installing Xcode Command Line tools and then doing a: sudo easy_install -U scikit-learn That magic got python to at least execute line 10 of myfirstforest but it then has trouble using sklearn.ensemble because it seems to need scipy, and scipy can't be found. I tried installing it too via: sudo easy_install -U scipy Which causes a bunch of compiling magic to happen, spitting out line after line, but ultimately it exits with an error about not able to locate certain executables and not knowing how to complie Fortran code. If anyone else has been through the same and has gotten it all to work, please tell me how! Thanks, LL",0,None,7 ,Sun Oct 07 2012 21:16:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2832,/competitions/titanic,None
/melisgl,final model documentation,Does the documentation need to be in the zip of code that's submitted in 36h or can it be written later? What should the doc cover anyway? The description of technique? How detailed should it be? Maybe an example would help.,0,None,3 ,Mon Oct 08 2012 13:45:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2835,/competitions/predict-closed-questions-on-stack-overflow,1st
/biasvariance,Really swift learning?,"I'm hoping I just found a glitch in the user-profiles, but this seems damn impressive: http://www.kaggle.com/users/62008/finik A user for 15 hours and he's already in the top 10 of this competition? In fact, the date stamps of his first submission would mean his account was under 5 hours old when he made that. Of course, maybe I'm just getting out classed. Maybe it only takes a few hours to download, load, train and submit a winning prediction. Maybe I should extend a job offer to finik through the new contact feature? I would love to know his tool chain.",8,silver,26 ,Mon Oct 08 2012 17:49:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2837,/competitions/MerckActivity,19th
/xinxinzhu,"Questions about benchmark data, RMSE and meteorological forecasts","Hi After reading questions posted, I found myself still confused about 3 things regarding the data set. It will be really appreciated if someone could help me to clarify. 1. Missing data in the ""benchmark"" data set. For example, there are no records from 2011010401 to 2011010412. Does that mean no forecasts are required for this period when we submit results? 2. How are the RMSE values calculated? Sice we don't have true measurements, how to calculated the ""error""? 3. When you say ""Note that to be consistent, only the meteorological forecasts for that period that would actually be available in practice are given."", does that mean, only persistent forecasts are usded for the missing period, and it is not allowed to use new forecasts? For example, if y_{t+1} is predicted, can I use it to forecast y_{t+2}? Thanks a lot.",0,None,3 ,Mon Oct 08 2012 19:55:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2838,/competitions/GEF2012-wind-forecasting,113th
/mseph26064,weights?,"Can someone offer me some hints about the weights worksheet? how have the weights been derived? What is their significance? Why are there only weights given for some weeks and not others? Why is it only the week 1/7/2008 to 7/7/2008 that has weights of 8 for each zone individually, and 160 collectively - the rest have weights of 1 for each zone individually, 20 collectively.",0,None,1 Comment,Mon Oct 08 2012 20:59:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2839,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/edge219878,Exploiting knowledge of test set distribution,"I have a quick question after looking through Shea Parkes' visualization package (which is awesome, btw!) Is it permissible for us to exploit knowledge of the test set distribution to train models specifically for that set, or are we expected to model only using knowledge that can be inferred from the training set? I can make a case either way, so instead of guessing, I'd appreciate if someone can clarify.",0,None,25 ,Mon Oct 08 2012 22:58:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2840,/competitions/MerckActivity,14th
/benhamner,Submitting Your Final Models,"As a reminder, the deadline to submit your final models is in less than 24 hours (at 11:59PM UTC on October 9). In order to be eligible for prize money, you must upload any code and external data necessary to train your models and make predictions on new test samples prior to this date. This should include a README with instructions on anything needed to run your training and prediction code, but does not need to include a thorough description of the methods you use (the prize winners will submit a more detailed description following [Link]:https://www.kaggle.com/wiki/WinningModelDocumentationTemplate). From October 10-October 23, we will be collecting a new set of data to use for the final model evaluation. On October 24, we will release this new set in the same format as the pubic leaderboard set, along with a new training set containing data through October 9. You may optionally retrain your model on this updated training set, and need to submit your final predictions by Thursday, November 1.",0,None,15 ,Tue Oct 09 2012 08:49:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2843,/competitions/predict-closed-questions-on-stack-overflow,None
/jjjjjj,Is there somewhere to view info about future contests?,"Hi Is there a place on the site to view info about future/planned contest? I have searched, but can't find such a page. Thanks JJJ",4,None,8 ,Tue Oct 09 2012 14:59:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2844,None,None
/amenem,octave/natlab code submission,can i submit octave code instead of python..i know very little of python..:(,0,None,1 Comment,Tue Oct 09 2012 16:05:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2846,/competitions/digit-recognizer,None
/zygmunt,The home straight: go bagging,"If you happen to have a few relatively good submission files lying around and haven't used ensembling so far, you might want to try averaging your solutions. Attached is a script for this. You will need to edit the script to set the names for input files and an output file.",1,bronze,3 ,Tue Oct 09 2012 16:14:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2848,/competitions/predict-closed-questions-on-stack-overflow,40th
/smcinerney,PKzip-compressed zipfiles cannot be read in Python,"FYI Ben and Kaggle admins. In future for zipping, can you please use open-source like gzip/gunzip not PKzip? Zipfiles created with PKzip have compression type 9 : Deflate64/Enhanced Deflate (PKWare's crappy proprietary standard) It turns out Python [Link]:http://docs.python.org/library/zipfile.html cannot handle this; and probably a lot of other open-source. But instead of throwing an exception, zipfile silently returns an empty filestream. (I burned a lot of time figuring that out for myself. SO question [Link]:http://stackoverflow.com/questions/12809651/opening-zipfile-of-unsupported-compression-type-gives-empty-filestream/12809847#12809847) This is a [Link]:http://bugs.python.org/issue14313 in Python 2.7/3.2. Workaround: unzip, then rezip using a standard tool.",0,None,1 Comment,Wed Oct 10 2012 02:07:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2850,/competitions/predict-closed-questions-on-stack-overflow,None
/edunov,No forum for job seekers?,"Is there any forum or page or something for people who want to find job in Data Science? I believe people will love to have checkbox 'looking for job' on profile page and a list of job seekers somewhere or some other way to express their willingness to change/find job. Thanks, Sergey",0,None,5 ,Wed Oct 10 2012 03:35:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2851,None,None
/muthujothi,Feature Scaling Ticket Fare,"The Gender and PClass model generated an accuracy of 0.76555. Then later, upon including the ticket fare (by performing a feature scaling on the same), still the accuracy generated was 0.7655. But I noticed that when ticket fare is included, the general accuracy is around 0.77990. Should a non-normalizing version perform better or should binning the ticket fare in ranges of bins perform better?",0,None,5 ,Wed Oct 10 2012 10:03:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2852,/competitions/titanic,None
/biasvariance,Public / Private Split,"Since we're closing in on the end, I thought I'd spend a bit trying to judge the likely volatility between public and private leaderboard scores. A ~25% public split was chosen for this contest. Was that sampling stratified by activity when it was implemented? If not, I think we may be in for a very bumpy ride. I just noticed the sample scoring script ""RSquared.R"" doesn't stratify by activity either. I'm sure the actual evaluation isn't being done in R, but I do hope it is properly stratified to match the contest description.",0,None,25 ,Thu Oct 11 2012 16:36:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2856,/competitions/MerckActivity,19th
/ianmccarthy,Creating the survival_table,"This original post related to my issue of not being able to make the script run with the code shown in the tutorial, which I have now resolved. And realised that the full code was provided on the download page!",0,None,10 ,Fri Oct 12 2012 04:56:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2860,/competitions/titanic,None
/kingsfield,Solution to this competition,"Congrats to everyone in this competition. I notice that the rule states that: WINNING SOLUTIONS MUST BE POSTED TO THE FORUMS And some teams have present their solutions in small version of this competition in foruma. I here present our solution to the big version of this competition in this topic. We use naive bayes as our algorithm in this competition. The features we used is: query time user A. We want to know the probability 𝑝(𝑖│𝑐) that user click sku 𝑖 in context 𝑐. We use naive bayes to predict this probability. Then select 5 item with highest predicted probability as prediction in context 𝑐. Here context 𝑐 is query 𝑞. The first context we used is query. By naive bayes, we have: 𝑝(𝑖│𝑐)∝𝑝(𝑖)×∏𝑝(𝑤_𝑘 |𝑖) here 𝑝(𝑖) is prior and we use the frequency that item 𝑖 appears in its category as prior. ∏𝑝(𝑤_𝑘 |𝑖) is the likelihood and 𝑝(𝑤_𝑘 |𝑖) is the probability that word 𝑤_𝑘 apprears when we see item 𝑖. B. We use time information in our model. We divided data into 12-day time periods based on click_time. Then used a smoothed frequency of items 𝑖 appears in its category in its time period as prior in A. C. We also use a bigram model to improve naive bayes. The ∏𝑝(𝑤_𝑘 |𝑖) likelihood in A use words conditional probability. We generate a bigram model and use naive bayes model to fit it too. We generate bigram data for each query 𝑞 as follows: suppose use query “xbox call of duty” rerank to “call duty xbox"" by alphabetic order ( with elimination of ""of"" as stopwords) bigram: [”call duty”, ”call xbox"", “duty xbox“] use naive bayes to fit it as the same as above. Then we use a linear combination to ensemble the unigram prediction and bigram prediction. D. We did some data processing. The first is query cleanning. In big version of this competition, we did 1,lemmatization;2,split words and numbers such as ""xbox360"" to ""xbox 360"". we also did some words correction in small version of this competition. E. We rank the items that user have clicked by query 𝑞 lower. Suppose we have prediction a,b,c,d,e when he query 𝑞 and user i clicked items a,c. We rerank prediction b,d,e,a,c for user i. F. We use python to implement all algorithms. The only 3rd lib need to install is nltk. We use it for lemmatization in data processing. The rest use puer python. The version of python is 2.7, as there is one function not supported in 2.6- version. For more information, Check readme.txt in the soucecode. Please download the second attached file. Because I find nothing can delete the first attached file in the system. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4746/BestBuyBig.tar.gz [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4747/BestBuyBig.tar.gz",11,bronze,4 ,Fri Oct 12 2012 07:50:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2861,/competitions/acm-sf-chapter-hackathon-big,2nd
/worse555,"Pleause, answer to me for clarification","I read the task problem many times, but do not understand some moments. I don't understand the nature of problem. 1. What is station? 2. What is zone? 3. What is communication (or ""connexion causale"") between zones and stations? 3a. Thus, how do 11 stations and 21 zones interconnections to each other? Thanks, inadvance.",0,None,2 ,Fri Oct 12 2012 11:00:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2862,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/shinmagi,machine learning with GPU,"Do people know any good libraries for GPU-utilized machine learning? CUDA and OpenCL are both acceptable. I personally used CUDA for simulations but never in machine learning context. I googled and found a few libraries, but what I found are either narrowly focused on neural networks or are not continually developed (as typical of one-man projects). I was wondering if the Kaggle community point me to the right direction. Any suggestions?",0,None,2 ,Fri Oct 12 2012 18:58:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2863,None,None
/astrodave,Welcome!,"Dear Kaggle participants! Welcome to Observing Dark Worlds the new Astronomy Kaggle competition where for the first time Kaggle is pairing up abstract research with Recruitment. Observing Dark Worlds invites you to try and literally find the dark matter in our Universe. Huge halos exist out numbering the number of normal particles by a factor of 7 and we want you to find it! We have provided a load of galaxy data and using this we want you to map out the hidden material. This is an exciting problem we face in astronomy everyday and we want you to solve it! Further to this, all those budding astronomers, scientists, and statisticians this is an opportunity to land yourself a great job with Winton, a hedge fund based in the UK! There are [Link]:http://blog.kaggle.com/2012/10/12/observing-dark-worlds-a-beginners-guide-to-dark-matter-how-to-find-it/http://blog.kaggle.com/2012/10/12/observing-dark-worlds-a-beginners-guide-to-dark-matter-how-to-find-it/and sample code to get you started, so please enjoy, and use these forums to ask any questions you may have about the competition or dark matter! Happy Hunting AstroDave",2,bronze,11 ,Fri Oct 12 2012 19:12:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2864,/competitions/DarkWorlds,126th
/josephthomas0,Use of Data for Machine Learning Project.,"Hi, We are a group of Masters students at Cornell interested in solving this problem as part of a class project. The class requires a team size of 3 or 4. Would it be possible for us to participate in this competition as a team? We can provide more details on request. Regards, Joseph",0,None,3 ,Fri Oct 12 2012 22:01:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2865,/competitions/DarkWorlds,None
/davidrelyea,Typo on Intro to Ellipticity page,"Although the code has the right formula for the tangential ellipticity (as does the snippet on the ODW tutorial), the Intro to Ellipticity page should have a factor of 2 in front of each phi in the e_tangential formula. Thanks for this Kaggle Galaxy Quest. :)",1,bronze,1 Comment,Sat Oct 13 2012 10:09:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2866,/competitions/DarkWorlds,None
/alekk1789,Forward model,"It appears that the data have been simulated. If the model used to simulated the data is well known among astrophysicist, should it also be described (or link to relevant literature) on kaggle. This would save precious time for non-astrophysicists.",0,None,14 ,Sat Oct 13 2012 12:50:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2867,/competitions/DarkWorlds,None
/jasontigg,Questions about scoring metric,"As I understand it there are two components to the metric. A distance and an angular component. I am finding the description of the metric slightly confusing. Can you explaing a few things. 1. When there are multiple halos you match up predictions with halo locations by minimising the distance between the predictions and reality. Do you use the same pairings for computing G? (And if you do use this pairing can you really be sure of your guarantee that you have picked the pairing that optimizes the scoring metric since you have optimized purely for F and not G) 2. The formula for G has a sum over an index n but you do not define what this index refers to. You say that you calculate a ""vector"" and in fact the formula you give is for a scalar quantity. Do you mean the vector comprises one value of phi per halo? EDIT -- On sifting through the code it seems you mean you create a vector from phi as follows. Cos(phi) i + Sin(phi) j. That you create this vector for every halo and find the average vector. You then compute the length of this vector. Is that correct? I know all this can be deduced from the python code but it would be nice if the description were clearer. Thanks",1,bronze,15 ,Sat Oct 13 2012 15:12:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2868,/competitions/DarkWorlds,39th
/benoitplante,Lenstool,"Did someone manage to compile and use the Lenstool program? I am trying to read its documentation and to understand how to convert the data in a form understanded by lenstool. Since this tool is used as a public benchmark for the competition, I guess it would be fine to discuss it here, at least about how to reproduce the benchmark results. By the way, it needs Linux, isn't it? I will try to install Ubuntu during the weekend. Also, it would be useful to have the parameters that were used to create the lenstool benchmark.",0,None,121 ,Sat Oct 13 2012 16:36:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2870,/competitions/DarkWorlds,202nd
/anshumangautam,Multivariate Analysis Techniques,"Hello All, I am doing a project in which I need to predict FMRI activation values for each voxel of the brain. The voxels are approximately 20,000 and I have 300 examples with 25 features in each. Thus there are large number of dependent variables. What are the best pratices involved in this multivariate analysis field. I am new to this field and it would be very helpful if you may guide me in right direction. Thanks in advance",0,None,6 ,Sat Oct 13 2012 17:52:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2871,None,None
/oranger,Alien to american health care system,"Hello I am totally alien to U.S health care system and I am having difficulties understanding things like ""suppression of a claim"" and I am not sure about what ""claim"" means also. Where can I find a good explanation of these things ? Thank you.",0,None,1 Comment,Sat Oct 13 2012 18:20:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2872,/competitions/hhp,1088th
/ahassaine,Number of halos,"Hi there, I initially thought that the number of halos is not given in the test set, but it turned out that it is. But, is the number of halos known in a real world application? If not, why you decided to provide this information? Thanks, Ali",0,None,10 ,Sat Oct 13 2012 21:33:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2873,/competitions/DarkWorlds,None
/alekk1789,clear definition of ellipticity?,"The ellipticity coefficients (e1,e2) of an ellipse with major/minor axis (a,b) are usually defined as (e1,e2) = (E*cos(2*theta) , E*sin(2*theta)) where E=(a^2-b^2)/(a^2+b^2) and theta is the angle of the ellipse with the x-axis. In particular, the coefficients e1 and e2 are always between -1 and +1 according to this definition of ellipcity coefficients. This is not the case in this contest (eg. Galaxy126 in Training_Sky3.csv). Could we have a clear definition of (e1,e2) used in this contest? Thanks, A.",1,bronze,38 ,Sat Oct 13 2012 22:50:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2874,/competitions/DarkWorlds,None
/cjbayesian,Visualization of the training data,"I made a quick visualization of the training data to get a handle on what we're working with. Here is an example sky: For more info, check out this [Link]:http://bayesianbiologist.com/2012/10/13/observing-dark-worlds-visualizing-dark-matters-distorting-effect-on-galaxies/. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4755/sky248.png",27,gold,13 ,Sun Oct 14 2012 00:25:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2875,/competitions/DarkWorlds,48th
/photosynth,galaxy distance,"In the competition data we only get x,y galaxy coordinates, while I guess in reality we would also know the distances from us, or an approximation. Can we assume that in the competition data all galaxies are more distant from us than all the halos? Thanks!",0,None,1 Comment,Sun Oct 14 2012 05:18:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2876,/competitions/DarkWorlds,31st
/matthagy,what is the format of the name attribute?,"Specifically, what is in the parahtheses? As an example: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson) I had originally assumed it was maiden name, but also found such entries for males. e.g: Morley, Mr. Henry Samuel (""Mr Henry Marshall"") Harmer, Mr. Abraham (David Lishin) Flynn, Mr. John Irwin (""Irving"") Could it be related to any previous name the individual had? Also, there are some case where the name is in quotes as well as cases where only a single name is included. This information could useful in building family trees and I want to ensure I'm interpretting the information correctly. Thanks!",0,None,1 Comment,Sun Oct 14 2012 21:53:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2880,/competitions/titanic,None
/fredericpaulin,Family Column warning ?,"When I submit with a header, using the same columns as the train.csv file with an additional first ""survived"" column, in ""My Submissions"" panel, when I expand the triangle under my submission, I get a warning: Could not find column 'Family' among extra 10 columns: (). Consider naming this column exactly 'Family' to avoid confusion. (Line 1) Why ?",0,None,2 ,Sun Oct 14 2012 22:58:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2882,/competitions/titanic,None
/matthagy,Sharing age/fare models,I'm making the following results publically available on the forums as I'll be posting them in a blog post at some point and want to comply with the rules regarding sharing. These plots simply compare a few different models for survival as a function of age and fare for subsets with constant sex and class. FYI: predicting survival of the test group with this approach (3rd order logistic regression) only yields a score of 0.77512. The plots for all 6 subsets can be found at [Link]:http://imgur.com/a/Ho3Cy and 1 image is included here for example.,12,silver,6 ,Sun Oct 14 2012 23:35:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2883,/competitions/titanic,None
/triphosphate,Tangential Ellipiticy v. Distance,"I plotted tangential ellipiticity against distance for every single-halo sky in the training set. I expected tangential-ellipiticity to be positive near the training-halos, but tangential-ellipiticity seems be be symetrically negative and positive. Perhaps I have a bug, or don't understand? Do others observe this trend? Is the trend expected? See attached. -J [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4766/te.dist.png",0,None,17 ,Mon Oct 15 2012 06:42:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2884,/competitions/DarkWorlds,None
/hetong007,A question with the names,"Hi all, I am an asian and not very familiar with the system of western names.So I meet some difficulties when trying to analyse the column name. For example, there's a name ""Baclini, Miss. Marie Catherine"" in the training set. Along with her there were 2 sibsp and 1 parch. I googled it (I guess it is not cheating) and find out that their names are: Baclini, Miss. Helene Barbara Baclini, Miss. Eugenie Baclini, Mrs. Solomon (Latifa Qurban) I am not sure about the meaning of all these three parts:Xxx, Miss. xxx, and (xxx). Originally I was trying to use the surname to distinguish families, but it seems that the first part, ""Xxx"", is actually the family's name. Maybe this question is kinda naive, but I really appreciate your help :)",4,None,6 ,Mon Oct 15 2012 14:07:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2885,/competitions/titanic,None
/christopherreadwinton,Questions about Winton Capital Management,"Hello Dark Matter Seekers! My name is Chris and I work for Winton in our recruitment team. I'm here for anything Winton related; questions about how we hire, what life at Winton is like, the work we do etc. Although we are a business that operates in the finance industry we are driven by robust scientific research. If you're interested in finding out more about Winton a good place to start is [Link]:http://www.WintonCapital.com. Check out the video in the careers section of the site to hear from current Winton researchers talking about their work and backgrounds. Best of luck with the competition. Chris",1,bronze,7 ,Mon Oct 15 2012 14:48:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2886,/competitions/DarkWorlds,None
/gggg145034,Contacting Admins,"How does one privately contact competition admins? I have some questions I don't want to post publically on the forums. I am sorry if there is some obvious way to do it that I have missed, but I am not experienced with kaggle.",1,None,4 ,Mon Oct 15 2012 20:12:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2891,/competitions/MerckActivity,1st
/vams62788,csv to arff conversion,Since data file is too long and using command: java -cp <path-to-weka.jar> weka.core.converters.CSVLoader training_1.csv > training_1.arffis taking too long and then give out of memory error.I have even increased heap memory to 1024 MB like java -Xmx1024M -cp <path-to-weka.jar> weka.core.converters.CSVLoader training_1.csv > training_1.arff java -Xmx2048M -cp <path-to-weka.jar> weka.core.converters.CSVLoader training_1.csv > training_1.arffand it is talking too long......So is there any other way to do so??,1,None,1 Comment,Mon Oct 15 2012 21:35:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2894,/competitions/answer-sorcerer,10th
/coryoconnor,Pizza Party!!!,"Date: Friday, November 2nd Time: Noon (12) to 2pm Where: 900 Veterans Boulevard Suite 230, Redwood City, CA What: Pizza, soft drinks, snacks, etc. We'll have Impermium employees and a few representatives from Kaggle present to chat about all sorts of ML, big data (sorry for the buzzword) stuff. Parking is free in the parking structure attached to the building. We're on the 2nd floor and located just past the elevator on the right. If you're considering coming, post a reply to this for us to get a headcount.",4,bronze,11 ,Tue Oct 16 2012 00:36:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2896,/competitions/detecting-insults-in-social-commentary,None
/jsradford,At the Deadline,"Evening, I'm fininshing up two projects for this and just checked the hour of the deadline (40 minutes from now). I've done too much work that I think is interesting to just not submit it. So, if the submission portal is open 41 minutes from now, I'll put them in there later tonight. If not, I'll post them on my blog (civilsociology.wordpress.org) and you can contact me directly for the code. Best Jason",0,None,5 ,Tue Oct 16 2012 01:22:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2897,/competitions/cir-prospect,None
/joycenv,Ideas for competition changes to reduce cheating / multiple accounts,"There has been lively discussion about cheating, multiple accounts, and public leaderboard feedback in the Merck competition forum. We at Kaggle want to create a competition environment where everyone participates in a fair and honest way. We want to communicate the rules and expectations clearly and have everyone abide by these rules. We're thinking about potential changes to help address these issues, and welcome your feedback on our current ideas. Ideas 1. Prohibit new entrants from entering a competition close to the competition end. 2. Reduce the number of decimal places revealed on the leaderboard to 3 digits (versus the current 5). 3. Freeze the public leaderboard and release the public portion of the test set 1 week before the competition ends. The public portion of the test set (data + labels) will allow participants to optionally retrain their models and make updated submissions. There will be no more public leaderboard feedback on the new submissions. The motivation for this is to make sure no participant has an unfair advantage based on additional information he's derived from the public leaderboard set with his submissions.",11,silver,49 ,Tue Oct 16 2012 02:45:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2898,None,None
/matthagy,Any interest in family trees?,"Working out the family trees could provide more information for modeling. At the minimum it could provide additional attributes such as the median age of an individual's children, number of children (in place of the parch attribute), etc. In preliminary work, I've also found family tree information useful in estimating unknown ages. If there's any interest, I'll gladly share what I have so far (code & results). I'd like to keep this work and any collaboration public as I intend to write some blog posts about this work. The family tree results can still be used privately. As an example, a few family trees are shown below. The rest can be found at [Link]:http://imgur.com/a/6tn0r#4. The family trees include both test and training individuals with training individual shown in green or red to denote survival and unknown test individuals are shown in black. The edges (relationship) are labeled as mother, father, child, sibling, or extended relative. Each rectangle node shows an individual's full name as well as the attributes sibsp, parch, embarked, age, and fare. Circle nodes show nuclear families. The graphs are generated using simple heuristics. The only adjustable parameters are age related (e.g. minimum age for marriage or to give birth). Additionally, neither iterative nor stochastic methods are involved. If there's any interest I'll clean up the code and throw it on github. *Edited to place in a smaller image",7,bronze,11 ,Tue Oct 16 2012 05:51:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2899,/competitions/titanic,None
/drpatrickchan,What do you use to preprocess the data?,"Given that we are so close to the ending point, like to learn from all the experts here. Given the high dimensionality of the data assay inputs, what do you use for data dimension reduction ? Anyone use wavelets, pca, svd, isomap, tsne, sommap ? Love to hear your experiences. Personally, I use only near zero variance reduction. Time is really too short especially these have 15 sets of data... Thanks. Dr Patrick",0,None,18 ,Tue Oct 16 2012 06:29:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2900,/competitions/MerckActivity,86th
/ccccat,Unexpected number of similar scores,"Did anybody find something specific for the dataset that can explain large number of similar scores? OneOldGog, Luxtorpedia - 0.16263 Kaupps, Keanu - 0.27178 NikitSaraf, DanB - 0.31487 UponCloud, jadalawa, jagan, kiwiriffic, paperplates, kawi -0.35563",0,None,12 ,Tue Oct 16 2012 14:53:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2901,/competitions/GEF2012-wind-forecasting,9th
/jyonamine,problem with submission file,"i recently submitted a .csv with 83502 rows and 1 column of predictions. The predicted rates were all in the feasible 60:96 range. However, my mean weighted error rate turned out to be massive, like 40000, so something obviously went wrong. I also got this error warning: Ignored 1 column beyond required expected count of 1 column. (Line 1) Assuming that column 1 with header value '' maps to the required expected column 'Mail_Return_Rate_CEN_2010' (Line 1, Column 2) To double check, I tried comparing the file I submitted to the sample submission .csv. They were identical in dimensions and we quite close in predicted values (the mean absolute error was ~1.5). Does anyone have any suggestions as to where I may have gone wrong? thanks",0,None,3 ,Tue Oct 16 2012 20:55:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2902,/competitions/us-census-challenge,23rd
/edge219878,Got uncorrelated models?,"Now that we're wrapped up and waiting patiently for the final scoring, I decided to post the results of a model. It scored .467 public/.460 private and formed half of a final ensemble. If it is relatively uncorrelated to your models, we should talk about teaming up on a future competion to mutually benefit from diversity in our models. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4793/edge2_final_model32b_predictions.zip",0,None,7 ,Wed Oct 17 2012 03:59:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2905,/competitions/MerckActivity,14th
/joycenv,Final results forthcoming,"Hello everyone, We are curently doing some work behind the scenes to verify the results in this competition. We expect to have the final results ready by the end of this week, if not sooner. Until then, only the public leaderboard will remain visible. Thanks for your patience.",0,None,14 ,Wed Oct 17 2012 04:07:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2906,/competitions/MerckActivity,None
/nschneider,Unofficial Leaderboard,Any one else curious enough to create an unofficial private leaderboard?,0,None,15 ,Wed Oct 17 2012 05:02:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2908,/competitions/MerckActivity,19th
/thiakx,SkyID for Training and Test data set,"Hi, Just to clarify, am I right to say that sky1-sky120 of test data set is totally different set of skies from sky1-sky120 of training data set? If so, it might have been better to label the test data set skyID as sky301-sky420. On a related note, since the data is simulated anyway, am I right to assume that skies do not overlap each other and galaxies stay within their assign skies and do not cross over / appear in other skies? Cheers, Augfal",0,None,1 Comment,Wed Oct 17 2012 08:49:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2909,/competitions/DarkWorlds,208th
/melisgl,Noise on perfect G,The distribution of G over 120 randomly generated angles has a mean of ~0.08 and stddev of ~0.041. This should correspond to the one halo case. Isn't 0.041 quite a bit of noise to have on the leaderboard?,0,None,1 Comment,Wed Oct 17 2012 10:09:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2910,/competitions/DarkWorlds,12th
/blindape,Two halos interaction,"With one halo, the tangencial ellipticity effect can be modelled by a function of r and theta, but with two halos r1, r2, theta1 and theta2 are involved. Are there a known theory of how the four parameters interacts in tangencial effect modelling? Or do you selected an arbitrary functional form for generating the data?",0,None,31 ,Wed Oct 17 2012 10:43:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2911,/competitions/DarkWorlds,None
/efimov,Ideas sharing,"Hi, guys, What do you think about sharing of ideas we have used in this competiton? Unfortunately, I could not participate in this competiton since the beginning, so I just spent 2 weeks, but there are key points of my solution: 1) Feature selection by running gbm with small number of trees for each set and choosing features with non-zero importance. 2) Applying kmeans for train and test set with predefined number of clusters and taking labels of clusters as additional features. 3) My best model was the linear combination of homogeneous ensembling of random forest and gbm (with features from the first step) correspondingly with coefficients chosen from cv predictions. Dmitry.",1,bronze,18 ,Wed Oct 17 2012 12:16:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2912,/competitions/MerckActivity,28th
/kirkocke,Score 0.00000 when submitting,"Aftre running the Random Forest example I made submission that resulted in a score of 0.00000. From the tutorial I expected the result to be less than previous submissions, but not so much less ;-) I have checked the CSV file and I see nothing obviously wrong with it. I've also compared it to the gender based model submission I previously made and they look nearly the same (except that the predictions aren't identical - but do match on several rows). I'm a bit stuck. Any thoughts? Kirk",19,None,26 ,Wed Oct 17 2012 18:15:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2914,/competitions/titanic,None
/oloolo,Is it possible the sponsor release the testing data after competition?,So that we losers can continue working on this and learn new techniques. I know some other competitions release the final testing data set for ppl that are still interested in using the data for improved algorithm development.,0,None,3 ,Wed Oct 17 2012 19:32:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2916,/competitions/MerckActivity,112th
/croda59371,Wind Forecasting,Do we need to calculate the wind generation as well? or just a wind forecast only?,1,None,1 Comment,Wed Oct 17 2012 19:37:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2917,/competitions/GEF2012-wind-forecasting,121st
/barrenwuffet,Time format,"I'm sorry if this is answered somewhere else, but are the times given locally or off some standard (ie GMT, EST, etc.)? A second question would be whether all the zones and stations reside in the same time zone?",0,None,1 Comment,Wed Oct 17 2012 22:36:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2918,/competitions/global-energy-forecasting-competition-2012-load-forecasting,75th
/pizzato,"Test data, any chance of make it available?","Ben, any chance of making the test data available? This can be quite useful, in particular if people want to develop this further and publish new studies using the dataset. Besides, I can't help feeling that without this data, everything is a bit anti-climax, as the competition ends and you don't know where your mistakes were and what you could have done better.",0,None,3 ,Thu Oct 18 2012 01:02:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2919,/competitions/job-recommendation,11th
/rocelot,Can I use this dataset for a school project ?,"May we use this data set for purposes of than the competition ? Would I be able to use it for a school project ? It is a bit hard for me to understand all of the legalese in the official rules Thank You, Yash",0,None,4 ,Thu Oct 18 2012 03:06:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2920,/competitions/us-census-challenge,None
/findboat,Help for Logistic Regression,"I try to use logistic regression only on those data without missing attributes. It seems that this method is of high bias. I tried to add some polynomial features, but it only improves a little bit. Anyone use LR get a good result?",0,None,2 ,Thu Oct 18 2012 05:03:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2921,/competitions/titanic,None
/ericmiller,New to Data Science (formally),"Greetings, earthlings! TL;DR - I'm new to data science and need to know where to start. I'll start with some background: I'm a recent university graduate from the University of Virginia, where I majored in economics. After my degree program, I sought out jobs in the consulting world and obtained one working with a large management consulting firm. Currently, I work with large banks where I collect, report, and analyze their customer data. Unfortuantely, I have no formal experience with data science. I have managed to impress my colleagues simply through pure force. I have just spent hours try to make the most awesome presentations of the most basic stuff - and that has gone over well. I must move forward, which brings me to this place. I really would love to learn how to start tackling these large customer data sets - by efficiently seeking out patterns and predicting results. This community has many people that specialize in this. So I ask - where should I start? I have a solid technical foundation, but nothing more. I learned a couple programming languages at a basic level. I use SPSS everyday, but I hate it. I'm starting to learn R and how to use Rattle, but I start to read some of the competitions on this website and start to feel stupid again. Any information to help me get the ball rolling and the engines revving would be extremely helpful. Make it so.",6,None,31 ,Thu Oct 18 2012 05:23:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2922,None,None
/brie63816,Averaging out to zero,"The description page says ""if we placed a Dark Matter halo into a field of randomly elliptical galaxies we would get a field that does not average out to zero."" On the other hand, the elliptical randomness in a field where a dark halo is not present does average out to zero. What exactly are the values being averaged? Is a field the same as an entire sky? How is it the case that a field with a halo does not average out to zero? Thank you!",0,None,5 ,Thu Oct 18 2012 23:42:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2924,/competitions/DarkWorlds,102nd
/joycenv,Merck Challenge Final Results,"Thank you all for understanding as we have taken a couple extra days to verify the results of the Merck Molecular Activity Challenge. As suspected and discussed on the forums, there were rule violations in this competition. We have reviewed player actions and disqualified those who were found to be in violation of the rules. In addition to being disqualified from all current competitions, the affected parties are also stripped of all past accomplishments. They are, however, allowed to keep their Kaggle accounts, and allowed to compete in future competitions, provided they follow the rules. Although we understand the urge for more punitive actions (delete account, lifetime ban, public caning), we believe nullifying your Kaggle performance history to be sufficient punishment for a community that values reputation and skill demonstration. Our goal is to create a lively, competitive, and honest environment where data scientists test their mettle and explore new techniques. Moreover, we want to allow for redemption and in fact encourage past violators to come back and compete cleanly. Catching rule violators and preventing violations in the first place is important to us. We hate what it does to our community, the unfairness to honest participants, and the effect on the models created. We want to create valid, robust models through legitimate technical discovery. Puppet accounts and fitting to the leaderboard do not meet those standards. But the reality is that much of fraud detection is a reactive battle. We plan to introduce changes to reduce cheating and puppet account creation, and will continue to do so as needed. Please continue to send your feedback on both on your [Link]:https://www.kaggle.com/forums/t/2898/ideas-for-competition-changes-to-reduce-cheating-multiple-accounts as well as any [Link]:mailto:compliance@kaggle.com. The Merck Activity Challenge private leaderboard is now revealed, and congratulations to all our participants for topping the Merck internal benchmark by over 16%. Well done!",17,gold,7 ,Fri Oct 19 2012 01:28:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2925,/competitions/MerckActivity,None
/dchudz,team removed from leaderboard,"We have determined that a participant in another competition violated our rules by using multiple accounts to submit to that competition. As a result, the user has been stripped of all past accomplishments and disqualified from all competitions that they were participating in. You may notice the leaderboard shift. There is strong evidence that this user was also submitting to this competition with multiple dummy accounts, and you may notice further leaderboard shifts as those are removed. Please see the forum post in that competition for more details: [Link]:https://www.kaggle.com/c/MerckActivity/forums/t/2925/merck-challenge-final-results/15918#post15918.",0,None,3 ,Fri Oct 19 2012 01:46:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2926,/competitions/hhp,None
/joycenv,Time delay in updated rankings,"Hi Everyone, Please expect a time delay before your user rankings are updated to reflect the Merck private leaderboard. Right now the Results tab on your profile is showing the result based on the public leaderboard. We know about this issue and are working to correct it based on the private leaderboard.",0,None,1 Comment,Fri Oct 19 2012 01:51:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2927,/competitions/MerckActivity,None
/mahmoudhassan0,Getting the data now,"at the Get the data page when I try to download the HHP_release3 or any other file it says This competition is currently closed to new entrants. I don't care a lot about the competition prize, so is there a way to download them to do some Machine Learning research, if someone can help me get the data or send it to me [mahmoud_hassan<at>eng.asu.edu.eg] thanks in advance for anyone that nay help me.",0,None,1 Comment,Fri Oct 19 2012 08:27:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2929,/competitions/hhp,None
/hugo414918,Submission Format,"In the description it says: Please make sure the submission strictly follow the format as indicated in ""submission_template.csv"", where the zone_id was sorted in smallest to largest order first, then year, then month, and then day. However in the ""submission_template.csv"" file the sorting order is by year, month, day first and then zone_id. Can you please indicate which statement is correct.",1,None,1 Comment,Fri Oct 19 2012 17:38:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2932,/competitions/global-energy-forecasting-competition-2012-load-forecasting,48th
/amenem,kNN in octave/matlab taking very long time,"Hi all, I am not sure may be for some reasons kNN in octave as well as in matlab is taking extremely long time.(more than half n hour and seems not to complete) i have minimum use of loops, some functions like sort, pdist2 are taking long time to execute. kindly help me to make my job faster. reagrds Aman",0,None,5 ,Fri Oct 19 2012 18:34:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2933,/competitions/digit-recognizer,None
/rkirana,submission not showing up,Just tried a dummy entry - shows 171851 - which should have been 63rd- but no score showing up. Can someone check?,0,None,1 Comment,Fri Oct 19 2012 20:31:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2935,/competitions/global-energy-forecasting-competition-2012-load-forecasting,10th
/shashwatmishra0,Issues with the Leaderboard,"Hi. I am pretty sure that a couple of days ago, I noticed somebody achieving 99% accuracy. I understand there have been quite a few complaints about the leaderboard scores in other compeiitions as well. Was this another case of leaderboard-error or has the old test set been replaced with a new one ?",0,None,12 ,Fri Oct 19 2012 20:41:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2936,/competitions/titanic,None
/salimali,Software and Techniques,"Hi all, If anyone wants to try my software Tibeirus for this exercise then fell free to download it and request a free licence by mentioning this Kaggle comp. It can be download from.. [Link]:http://www.tiberius.biz/ The techniques I used for load forecasting in Tibeirus can be read about in chapter 3 of my thesis... [Link]:http://www.philbrierley.com/phil/thesis.zip and finally some oldish screenshots of the type of visuals Tiberius will give you to help you understand the data... [Link]:http://www.philbrierley.com/tiberius/slideshow.html Good luck in the last few days - but not too much luck ;-)",17,silver,8 ,Fri Oct 19 2012 23:51:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2938,/competitions/global-energy-forecasting-competition-2012-load-forecasting,1st
/databeta1,Problem with DarkWorldsMetric.py,"I just downloaded all the data and ran python DarkWorldsMetric.py Training_halos.csv Training_halos.csv expecting to see a perfect score, but instead I got a terrible score THE INPUT FILE APPEARS TO HAVE A HEADER, SKIPPING THE FIRST LINE Your average distance in pixels you are away from the true halo is 2022.11575989 Your average angular vector is 0.287202412529 Your score for the training data is 2.30931817242 The error seems to be at lines 241-242, which read x_predicted=np.append(x_predicted,float(sky[2*i+1])) #get the predictd values y_predicted=np.append(y_predicted,float(sky[2*i+2])) instead of x_predicted=np.append(x_predicted,float(sky[2*i+4])) y_predicted=np.append(y_predicted,float(sky[2*i+5])) With this correction, I get THE INPUT FILE APPEARS TO HAVE A HEADER, SKIPPING THE FIRST LINE DarkWorldsMetric.py:107: RuntimeWarning: invalid value encountered in divide phi = np.arctan((y_predicted-y_true)/(x_predicted-x_true)) # Angle of the estimate Your average distance in pixels you are away from the true halo is 0.0 Your average angular vector is 0.162633734701 Your score for the training data is 0.162633734701 Which is still not perfect, but at least that's a problem that has been reported before. Strange nobody else seems to have reported this problem before... did something change in the metric file or the training data? Or am I missing something altogether?",0,None,5 ,Sat Oct 20 2012 14:46:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2940,/competitions/DarkWorlds,None
/oneoff,Ellipticity and long axis of galaxy,Hi I can't find out how to interpret ellipticity in geometric manner. Additional assumption : |AO|=|BO|=r. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4811/Galaxy Coordinates.JPG,0,None,9 ,Sat Oct 20 2012 19:38:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2941,/competitions/DarkWorlds,None
/hughperkins,"What is the ',' in Load_history.csv values?","What is the ',' in Load_history.csv values? I thought it meant 'thousands', ie ""12,345"" means 12345, but now I suspect it is a decimal point, so ""12,345"" means 12.345. What is the correct interpretation of the ',' in the Load_history.csv values? (sorry if this was mentioned somewhere but I overlooked it somehow)",0,None,7 ,Sun Oct 21 2012 02:42:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2942,/competitions/global-energy-forecasting-competition-2012-load-forecasting,9th
/drhongtao,A few reminders from Tao,"There are only 9.9 days toward the end of the competition. I'd like to post a few reminders. Hopefully they are helpful: 1. The end of this competition seems to be based on GMT rather than Eastern Time zone. The Oct 31 in GMT is actually Oct 30 in EDT. Please make sure you keep in mind when the competition ends. 2. Remeber to update the check box of ""selected"" under ""your submissions"" prior to the end of the competition. By monitoring this competition as an administrator, I noticed that many of you have not updated your selected entry for final scoring. 3. The best public score may not lead you to the best private score. In other words, you may or may not want to select the entry with the best public score for final scoring. In your report that describes your approach, instead of ""we select the entry that gets the best public score"", we would like to see solid reasons that support you to make the final selection. This is because in reality, you will not have part of the future data helping you decide which model to use for forecasting next week's load. 4. The email with algorithms, models, code and report is due on Nov 1st, 2012. The award committee will make decisions primarily based on the materials you provided through email. Please present sufficient enough materials so that the committee can understand what you have done and reproduce your approach to validate your results. Please plan your time wisely as there are not many days left. 5. If the email size is too big (i.e., >10MB), or you are using commercial software packages, please let me know prior to Nov 1st, 2012, so that we can set up different channels to get your materials. 6. Your Kaggle leaderboard ranking is subject to Kaggle's rules. The award committee won't change your Kaggle leaderboard ranking. 7. As stated in the competition rules, if you are not going to present your work at IEEE PES General Meeting next July in Vancuvour, Canada, you will not be eligible to get the award. 8. Whether you are getting the award or not, you may be eligible to be invited to submit a paper to one of the two decent journals: IEEE Transactions on Smart Grid and International Journal of Forecasting. 9. Please indicate in your email with your choice of the following two options: A) I'm willing to present my work at PESGM2013; B) I'm not going to IEEE PESGM2013, but I'm willing to publish my work as a journal paper; C) I'm not going to attend PESGM2013 nor publish my work, but I'd like to be evaluated and included in the GEFCom2012 ranking. 10. The official GEFCom2012 ranking determined by the award committee can be different from the Kaggle leaderboard ranking. It will be announced at PESGM2013 after the presentations of the invited entries. Regards, Tao",0,None,2 ,Sun Oct 21 2012 05:32:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2944,/competitions/GEF2012-wind-forecasting,None
/hughperkins,"What does ""Could not find column 'weight' among extra 5 columns: (). Consider naming this column exactly 'weight' to avoid confusion. (Line 1)"" mean?","What does ""Could not find column 'weight' among extra 5 columns: (). Consider naming this column exactly 'weight' to avoid confusion. (Line 1)"" mean, in submission? In the submission template, there is no 'weight' column. Are we expected to add one?",0,None,1 Comment,Sun Oct 21 2012 08:54:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2946,/competitions/global-energy-forecasting-competition-2012-load-forecasting,9th
/maxlam,Thinking like a Data Scientist,"Hi everyone! I started going through the machine learning lectures on coursera last week, and I've begun to try out a couple of those techniques on Kaggle competition problems. Recently I used a logistic regression on the Titanic problem, but it seems like I hit a wall in terms of correctness. When this happens, how do you guys overcome this problem? Do you try adding more features by modifying older ones? (Like adding modified pre-existing features, say, and then squaring or cubing them) Do you switch to a totally new model and throw away the old one? Or do you try combining the results of multiple different models? Also, is there generally some direction to which you modify your model, or is it mostly trial and error? How do you go about tackling machine-learning problems and then making your solution better and better? Sorry, these questions might seem very trivial to a lot of people here -- I'm a total newbie at this and have a lot to learn Thanks!",0,None,2 ,Sun Oct 21 2012 10:49:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2947,None,None
/rkirana,Methods to do cross-validation?,Wondering what is a good method to do CV in this case. I just take the week immediately after the test period to do the CV,0,None,1 Comment,Mon Oct 22 2012 08:56:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2952,/competitions/global-energy-forecasting-competition-2012-load-forecasting,10th
/hitalex,How do you cope with missing values?,"I have examined the training and test set, and I found there are some missing values. To be more specific, there are 177 instances whose ""Age"" is missing and 687 instances whose ""Cabin"" is missing in the training set(891 instances in total), and there are 86 instances whose ""Age"" is missing and 326 instances whose ""Cabin"" is missing in the test set(417 instances in total). Based on the above observation, I have decided not to consider the ""Cabin"" info, since there are too many missing values. I am wondering how to do with ""Age"" info. How do you solve this problem?",2,None,19 ,Mon Oct 22 2012 16:06:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2955,/competitions/titanic,None
/pzawal,Signal benchmark visualisation,"I have made a visualisation of signal benchmark to better understand the results from this method rest, larger size [Link]:http://www.sendspace.com/file/91v5fa",4,bronze,5 ,Mon Oct 22 2012 23:40:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2958,/competitions/DarkWorlds,None
/boydjohnson,Manipulating Data in R,"I'm trying to break each digit in Train.csv into 16 parts in R. I want to see the average of the pixels in each of the 16 areas. My thought has been to use a logical matrix, but I haven't been able to find a quick way to make the logical vectors. matrix(TRUE,nrow=7,ncol=7) will make the area but I haven't been able to make all the FALSEs and to place the area. I've attached some jpgs that I made with heatmap in R. They are the means of each digit. Thanks for your thoughts, in advance. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4828/0.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4829/1.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4830/2.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4831/3.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4832/4.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4833/5.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4834/6.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4835/7.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4836/8.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4837/9.jpg",1,bronze,6 ,Tue Oct 23 2012 05:34:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2960,/competitions/digit-recognizer,None
/gabeneslin,Trouble with Python,"I am trying to work on the getting started with python walkthorugh for this project, and I can't seem to figure out how to import the train file into python. Ihave never used python before, so I am not sure exactly what I am doing here. I tried to follow what the code from the example and imput: csv_file_object = csv.reader(open('C:\Users\Gabe\Downloads\Kaggle_TItanic\train.csv', 'rb')) Python returned: Traceback (most recent call last): File """", line 1, in csv_file_object = csv.reader(open('C:\Users\Gabe\Downloads\Kaggle_TItanic\train.csv', 'rb')) NameError: name 'csv' is not defined I take it that I have some kind of syntaxtical error, but I don't know what. Thanks, Gabe",0,None,2 ,Tue Oct 23 2012 06:08:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2961,/competitions/titanic,None
/ambekar2001,Infer Seasons,"Hi, Apologies if this has been answered before. Is it valid to infer Summer/Winter based on clock change dates , which are publicly available? Thanks, amby2001",0,None,3 ,Tue Oct 23 2012 11:47:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2962,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/xibaocao,A Question About Writing Code By Yourself!,"As you know,many ml problems have to build a optimal model to predict data . Will you always write you own optimal library or use other optimal library? Sometimes I wrote my own optimal library ! But I find it is not better than use other library! It makes me confused.",0,None,4 ,Tue Oct 23 2012 12:48:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2963,None,None
/ericcallmann,Data Link Broken,"Hi, I just went to the link to download the data to begin the analysis and I am getting a 404 error. https://www.kaggle.com/c/titanic-would-you-have-had-a-chance/data Any suggestions would be appreciated. Thanks, Eric",0,None,2 ,Tue Oct 23 2012 17:28:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2964,/competitions/titanic,None
/gbonte,Using additional temperature measures,Hi all I have the impression that it could be easy to improve the accuracy prediction of last week by using public historical temperature measures about july 2008 which are not the ones provided by the competition. I have the impression this would not be fair but difficult to detect. What is the attitude of the competition organizers wrt that issue? Will any check be made about that? Thanks a lot,0,None,1 Comment,Tue Oct 23 2012 20:08:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2967,/competitions/global-energy-forecasting-competition-2012-load-forecasting,49th
/nickmirsky,Solutions: Hand-Generated vs. Computer-Generated,"Greetings Astronomers! Perhaps I’m being naïve, but it seems possible here to create very competitive solutions by hand. If so, creating 120 hand plots seems quite feasible. But, am I to assume that the solution must be generated by an algorithm? Thanks!",0,None,12 ,Tue Oct 23 2012 21:42:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2968,/competitions/DarkWorlds,80th
/rkirana,More than one forecast for datetime in wf1?,There are more than 1 forecast provided for a given date and time in wf1.csv and other files. What does that mean?,0,None,3 ,Tue Oct 23 2012 22:04:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2970,/competitions/GEF2012-wind-forecasting,22nd
/rkirana,Where is the test file?,I cannot see a test file at all. Should I just use the benchmark file?,0,None,1 Comment,Tue Oct 23 2012 22:21:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2971,/competitions/GEF2012-wind-forecasting,22nd
/jimshook0,invalid syntax when adding fare_ceiling,"When putting this into IDLE, I get a SyntaxError: invalid syntax... data[data[0::,8].astype(np.float) >= fare_ceiling, 8 = fare_ceiling - 1 It highlights the ""="" sign so I'm assuming this is where the problem is. Anyone else having this problem setting the $39 fare ceiling? Jim Also, in that line of code, why do we have to say >= fare_ceiling, 8. Why not just say fare_ceiling considering we've already had it looking through all the datapoints in the 8th column when calling data originally? Thanks.",0,None,2 ,Tue Oct 23 2012 23:03:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2972,/competitions/titanic,None
/michael57522,reason for the angular vector component,"Hi, Can you elaborate a little more on why the G component in the scoring metric is needed? As far as I can tell, G will be high if your algorithm is detecting the same halo multiple times, or if your algorithm has a bias caused by the order that you scan the sky images (e.g. starting from 0,0 and working your way left to right and up and taking the first 3 best halo matches that you find). But in both cases F should also be high because you are not making correct predictions, so F and G must be correlated. Is there any other reasons for G? Would it be possible to ever get low F but high G (or vice versa)? Mike",0,None,3 ,Wed Oct 24 2012 01:10:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2973,/competitions/DarkWorlds,254th
/rkirana,1st submission scored 0.16722 - not showing up,"Hi, My submission scored 0.16722. It should be 19th - that is what it shows under ""my submissions"" folder. however I cannot see my name on leaderboard and shows as ""no"". Can admins check?",0,None,3 ,Wed Oct 24 2012 01:38:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2974,/competitions/GEF2012-wind-forecasting,22nd
/fourier1,Test Answers,"Is there anyway to obtain the answers to the testing set? I understand that I can submit new predictions, but I want to work on this problem further using other evaluation techniques besides the log-loss metric.",1,None,1 Comment,Wed Oct 24 2012 04:49:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2975,/competitions/pf2012-diabetes,None
/rkirana,submission not scored,"I submitted a file trial_1.csv.7z. It says ""Oops:error"" - Pending scoring Can the admin check the issue please?",0,None,3 ,Wed Oct 24 2012 08:58:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2976,/competitions/global-energy-forecasting-competition-2012-load-forecasting,10th
/mewertowska,benchmark and submission format,"Hi, I am very confused how the submission file should look like. Everybodys scores are below 1 and mine is super high... I have even tried submitting the benchmark and still it got very high score ( 746574723.29347 ). Moreover 3 different submissions of mine scored excatly the same... Did anyone had similar problem likes this before? Thanks in advance.",0,None,2 ,Wed Oct 24 2012 09:50:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2977,/competitions/GEF2012-wind-forecasting,96th
/billiejoe,Submitting our model,"In the C++ program that produces our models, we have used a library function for SVD (Singular Value Decomposition) which is from the Numerical Recipes textbook. As such we don't have the right to distribute the source code for the SVD routine. Will this be a problem when submitting our solutions? thanks billiejoe",0,None,1 Comment,Wed Oct 24 2012 16:23:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2981,/competitions/global-energy-forecasting-competition-2012-load-forecasting,2nd
/swethasharma,Downloading train.csv and test.csv,"Hi, I am trying to download the data files.If i click on the .csv link it loads into a HTML file .I tried to save the page as .csv it says server problem. Can someone help me out? -swetha",29,None,3 ,Wed Oct 24 2012 20:19:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2983,/competitions/digit-recognizer,None
/ekandrot,A Quicky on Ellipticity - 404,"Clicking on "" [Link]:https://www.kaggle.com/c/DarkWorlds/details/a-quicky-on-ellipticity"" in the page [Link]:http://www.kaggle.com/c/DarkWorlds/data takes one to [Link]:https://www.kaggle.com/c/DarkWorlds/details/a-quicky-on-ellipticity, which currently is 404. Is the address wrong or is the page gone?",0,None,1 Comment,Thu Oct 25 2012 07:15:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2986,/competitions/DarkWorlds,231st
/benhamner,Private Leaderboard Data Release,"Hi all, I have just uploaded the private leaderboard data, which contains the questions asked between October 10 and October 23. Apologies for the short delay - I had intended to release the data on October 24 PT, but my preliminary testing with the new set uncovered a pesky bug in the final submission process. Final submissions currently remain disabled, and they should be enabled by the end of the day on October 25, once the fix goes live. To ensure that you have a full week to submit your final predictions, I have shifted the deadline to make your final submission to November 3. The new training data (up through October 9) will be released ASAP, along with an updated stratified sample. You may optionally retrain your model using the updated training set. However, you should not be manually updating or changing the model in any other way. In order to receive a final score and rank for this competition, you should re-run your model on the private leaderboard set & make your final submission. Also, the visualization contest is closing in less than 2 days! Submit any interesting visualizations or insights you have found on this problem. The ones submitted so far have just touched the surface of the richness in this dataset. Cheers, Ben",0,None,21 ,Thu Oct 25 2012 11:07:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2987,/competitions/predict-closed-questions-on-stack-overflow,None
/wizard1,Request: Sky data without a Halo,"From my understand and observation we only have training data with at least one halo. It would be very useful to have a negative control in calibrating the halo parameters (blank sky with just galaxies). I'd like to consider the baseline conditions (distribution, variance, orientation, etc.) for galaxies without the effect of a halo. Given the context of the problem I would consider this a reasonable request. Does this request fit the spirit of the competition?",0,None,2 ,Thu Oct 25 2012 11:21:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2988,/competitions/DarkWorlds,None
/pgraff,code release,"Hello, If I choose to submit a solution, either as an individual or as a team, and end up in one of the top 3 spots, will I be required to release the code I used to obtain my solution? Or can I choose not to receive the prize and hence not release my code? Thanks. Phil",0,None,3 ,Thu Oct 25 2012 17:31:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2989,/competitions/DarkWorlds,267th
/jimshook0,Way to learn strategies?,"I'd love to get better at this, and it'd be helpful to hear some of the strategies used by those that score well. Obviously many might want to keep their strategies close to the chest, but I was wondering if there was a way to get some insight into the approaches used. If not, no problem, just hoping to learn. I've gone through the tutorials, and they're great, but looking to get a bit more in depth as well.",2,bronze,13 ,Thu Oct 25 2012 18:24:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2990,/competitions/titanic,None
/nickles255,can get the data in python,I recieved an error on the very last line of importing the data to python. I am running 32 bit 2.7.3 python. I copied down everything exactly and the very last line data=np.array(data) it points at the last a in data and says SyntaxError:invalid syntax. Any insight would be appreciated. import csv as csv import numpy as np csv_file_object = csv.reader(open('C:/Users/Ken/Desktop/train.csv')) header = csv_file_object.next() data=[] for row in csv_file_object: data.append(row) data = np.array(data) ^ SyntaxError: invalid syntax,0,None,2 ,Fri Oct 26 2012 05:19:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2993,/competitions/titanic,None
/span61310,"How does (x_ref, y_ref) come from?","In file Training_halos.csv there is a point (x_ref, y_ref) for each sky. How does it come from when the number of halos is 2 or 3?",0,None,6 ,Fri Oct 26 2012 06:25:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2994,/competitions/DarkWorlds,None
/batarat,Online environment for machine learning?,"Hi! There are several online IDE for programming (i.e.compilr.com, shiftedit.net etc.) , but it seems that no one has developed something similar for numerical computations and data mining. Instead of java-script powered web application, would be good to have at a least a shell account on powerful machine with big quotas. VNC or X11 access would be a dream. Basic requirements are at least: - fast CPU with a lot of RAM - several GB of disk space - machine learning software already installed and pre-configured (perfectly R or Python) - fast Internet access There is a Rweb, but it’s more a demo for learning purposes, than a serious solution. I didn’t try online IDE for Python, but I won’t expect that they let me to install any additional packages, upload GB of data or utilize heavily their CPU. Or am I wrong? Last but not least, there is SAS On-Demand – but again, only for training purposes. Any other ideas? There are plenty of academic units having already this kind of environment, but is there any of them offering this to public as a paid service? Regards, b.",3,None,11 ,Fri Oct 26 2012 09:59:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2995,None,None
/vish145336,dead link (or is it just me),"https://www.kaggle.com/c/observing-dark-worlds is linked from https://www.kaggle.com/c/DarkWorlds/details/an-introduction-to-ellipticity called ""Description"" but is broken",0,None,1 Comment,Fri Oct 26 2012 10:50:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2996,/competitions/DarkWorlds,None
/chatzilarielisabeth,Perfect Solution doesn't give 0 error,"Using the ground truth of the training halos as predictions I would expect to get 0 (or close to 0 at least) error. However this is not the case. To my understanding, it seems that there is a bug in the evaluation code because y_predicted-y_true)/(x_predicted-x_true yelds a divide by zero error. The output of the python script is: H:\KaggleProjects\ObservingDarkWorlds>DarkWorldsMetric.py ./TrainingHalosOutput.csv ./Training_halos.csvTHE INPUT FILE APPEARS TO HAVE A HEADER, SKIPPING THE FIRST LINEH:\KaggleProjects\ObservingDarkWorlds\DarkWorldsMetric.py:107: RuntimeWarning: invalid value encountered in divide phi = np.arctan((y_predicted-y_true)/(x_predicted-x_true)) # Angle of the estimateYour average distance in pixels you are away from the true halo is 0.0Your average angular vector is 0.162633734701Your score for the training data is 0.162633734701",0,None,2 ,Fri Oct 26 2012 16:34:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2997,/competitions/DarkWorlds,None
/rikb49442,Better late than never,"As I mentioned in my last-minute ""glimpse"" submission, this data is just too good to be measured by the size of the prize, let alone the lapsed contest date! i've posted background re: the graph analysis in the attached image at http://rikiwiki.electronicartifacts.com/2012-election-financing if any of the rest of you Kaggle-ites are still engaged by this data, let me know! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4892/CIR_121025_annote.jpg",0,None,4 ,Fri Oct 26 2012 21:50:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2998,/competitions/cir-prospect,None
/ampires,Large set of tentative features,I produced a number of features to share with my students. According to the competition rules I must share them with everybody. So here is the code. We would appreciate feedback. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4893/Rcode-Features.txt,2,bronze,12 ,Fri Oct 26 2012 22:18:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2999,/competitions/DarkWorlds,3rd
/steem1337,Question about the size of test data,"Hi, a quick question about the test data set. The supplied training data consists of 113,000 data sets (counted per member). The entries you submit to the public leaderboard consist of 70,942 data sets (a subset of the members). When uploading, it says that the evaluation is performed on 30% of the available test data, and the final evaluation will be performed on the other 70%. So that means that there are around 236,000 members in the final test data, if I am calculating correctly. I don't understand these numbers. If we only have data for 133,000 members, and 70,942 of these will not be used for the final evaluation, that leaves us with 42,058 members. How can we then submit a prediction for 236,000 members? Will there be another data set for the final evaluation? Then, why do we only use 70,942 members for the leaderboard, and not the other 42,058? Thank you, Julian",0,None,1 Comment,Sat Oct 27 2012 18:55:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3002,/competitions/hhp,1119th
/cjdd3b,Judging update,"Hello everyone! The judges met last week to consider the entries and plan to reach a final decision on Monday. We just have a few odds and ends to work out and we should be set to go. Thanks everyone for the fantastic entries, and we look forward to announcing the winners soon!",0,None,3 ,Sat Oct 27 2012 19:18:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3003,/competitions/cir-prospect,None
/andysukenik,Duplicate Submission,"When we pressed submit to submit our latest forecast round this evening, we received no notification the file was being processed. We then pressed submit again and two identical submissions were processed. Given the circumstances, can we please be granted an extra submission for today? Stuart & Andy",0,None,4 ,Sun Oct 28 2012 02:01:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3005,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/striki,Pregnancies and delieris counts inconsisten,"When you count of pregnencies noted in Y(n) and deliveries in Y(n+2) there is something I can't explane using my highly rectricted knowledge in this area, and commn sense. If you count pregranceis per member in Y1 and deliveries by same mebmers in Y2, numbers are as follows: Y1: Registerd pregnencies in Y1: 33061, registered deliveries is in Y2: 4342, no deliveris for same members in Y2: 28719. Y1: Registerd pregnencies in Y2: 33407, registered deliveries is in Y3: 3698, no deliveris for same members in Y3: 29709. As far as I know, after registerd prregnancies in Y[i] without deliveries in Y[i+1], there should there should be at least 3/4-ths of deliveries in Y[i+1]. Still, this is not the case in actual data. So, what happeded to wemen with registered pregrancies in Y[i] and did not deliver in Y[i+1] for 3/4-ths of them? Is there some logical explanation for this, or it can be simply not consistent data? But, if data is incosnsitent on such kind of level, how we shuld built our models? Based on what intput?",0,None,1 Comment,Sun Oct 28 2012 05:26:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3006,/competitions/hhp,235th
/robilicious,Titanic - final files,"Hi, I'm a beginer (obviously) and am having a hard time recreating the last excersize in Excel for the Titanic tutorial. Is there a way to get the file test.csv and train.csv files for the Titanic lesson on the site or can someone email them to me (rob_weidner2000@yahoo.com)? Thanks in advance, Rob",1,None,1 Comment,Sun Oct 28 2012 11:30:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3008,/competitions/titanic,None
/vnpatel,Personal use of data?,"Can we use data released for competitions in other ventures if we give appropriate attribution? In particular, I wanted to use PracticeFusion's dataset for academic research, with the goal of publishing a paper based on the results. I couldn't tell if the license forbade this or not.",0,None,1 Comment,Sun Oct 28 2012 18:01:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3009,None,None
/efimov,transformation of galaxies,Hi! There is a nice flash here: http://en.wikipedia.org/wiki/Gravitational_lens My question to organizers: is it possible that when you transformed skies by adding black halos some galaxy has been transformed to two or more ellipses in the result sky? Dmitry.,0,None,2 ,Sun Oct 28 2012 18:50:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3010,/competitions/DarkWorlds,109th
/nittanylion,Would you please release the test data after the competetion deadline?,I would like to spend more time on this challenge. I am wondering whether the test data can be released after the competetion deadline? Thank you for the consideration.,0,None,7 ,Sun Oct 28 2012 20:52:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3011,/competitions/us-census-challenge,94th
/melisgl,Training vs leaderboard score,"I'm getting scores like 0.80, 0.83, 0.89, 0.67, 0.88, 0.55, 0.60 on random stratified samples of the training set with the same size as the public leaderboard set (30). But my public leaderboard score is 1.28 which is curious. There are a number of possibilities: 1. I have a bug. 2. Evaluation has a bug. 3. The test set is not drawn from the same distribution as the training set. 4. Overfitting. Knowing my model, I highly doubt it overfits so badly. Does the publicly available version of DarkWorldsMetric.py calculate the score on the server? Is the test set drawn from the same distribution as the training set? Fellow contestants, do you see big gaps between the two scores?",0,None,8 ,Mon Oct 29 2012 14:18:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3012,/competitions/DarkWorlds,12th
/drhongtao,Team with multiple people,"Please make sure that you coordinate with each other and update your final selection. I'm seeing some teams selected the best score based on one person's submissions, which may not be the best among the submissions from all team members. Regards, Tao",0,None,2 ,Mon Oct 29 2012 14:28:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3013,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/hughperkins,Time for paper submission?,"It seems that we have to submit a paper at the same time the competition finishes? That means we have to choose between trying to improve our score, or trying to document it. To what extent could it be possible to submit a paper after the deadline of the competition finishes, say within 96 hours?",0,None,2 ,Mon Oct 29 2012 15:58:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3014,/competitions/global-energy-forecasting-competition-2012-load-forecasting,9th
/rudikruger,How can Data Science aid Severe Weather Risk Management,"In light of current events, can Data Science mitigate risks acosicated with severe weather? I'm confident the answer is a resounding, ""Science, it works Ladies and Gentleman"" Please lend your thoughts",0,None,4 ,Mon Oct 29 2012 17:10:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3015,None,None
/budiansky,Why GPLv3?,"The rules specify the code be released under GPLv3. Some people prefer the more lenient BSD/MIT or GPLv2 licenses for their open source code. In particular, GPL has restrictions on the use of the code in commercial or proprietary software. Maybe I am happy to let anyone use my code in any way at all! I prefer the less restrictive BSD license for this kind of project. Can we use the less restrictive BSD license? Were there specific reasons in requiring version 3 of the GPL, or was it just picked as a typical open source license?",0,None,2 ,Mon Oct 29 2012 18:16:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3016,/competitions/global-energy-forecasting-competition-2012-load-forecasting,7th
/nunoskew,Correct Answers,@drhongtao: After the competition ends could you provide the actual values?,0,None,11 ,Mon Oct 29 2012 20:25:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3017,/competitions/global-energy-forecasting-competition-2012-load-forecasting,84th
/sitmocom,Are all galaxies pointlike and behind the halo?,"I have 4 (simple) questions. 1) are the galaxy shape features e1,e2 assuming infinitesimal small galaxies? If so, then we won't see any arc-type distortions. It would also explain the lack of galaxy size data. 2) Are the galaxy feature values exact? In real life one would expect measurement error in e1,e2 but this is simulated data, perhaps we can assume no measurement error in e1,e2? 3) are all galaxies *behind* the halo, or can we assume some galaxies to be in front of the halo? 4) Are the halo's point-masses or can they also be cloud like shapes? thanks!",0,None,5 ,Mon Oct 29 2012 22:03:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3019,/competitions/DarkWorlds,28th
/benhamner,Making Your Final Submission,"Hi everyone, As a reminder, this competition is closing in 5 days. In order to be eligible for prize and receive a final rank for this competition, you need to make a submission on the private leaderboard set. This can be downloaded as private_leaderboard.csv from [Link]:https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow/data. Additionally, you have the option of retraining the models you submitted on an updated training set (which contains data through October 9, 2012). These may be downloaded from the [Link]:https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow/data as train_October_9_2012.csv (for the full version) or train-sample_October_9_2012.csv (for the stratified sample). When you make a final submission, it will show up briefly on the leaderboard with a score of 0.0000 (visible only to you). This means it has been parsed correctly, and the private leaderboard score will be unveiled at the end of the competition. Also, the [Link]:https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow/prospector has now closed. There have been many outstanding entries - vote for your favorites! Thanks to all for your hard work on this contest. Ben",0,None,1 Comment,Mon Oct 29 2012 22:21:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3020,/competitions/predict-closed-questions-on-stack-overflow,None
/rkirana,distribution of private leaderboard different from public leaderboard,"anyone else seeing same issue? If i train the old model on new training dataset, I get a worse off score on my internal validation. Anyone else facing same issue?",0,None,11 ,Mon Oct 29 2012 22:44:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3021,/competitions/predict-closed-questions-on-stack-overflow,14th
/hitalex,SVM classification applied to pre-processed training data,"Hi, folks! I will explain in detail my approach to this problem here, and you may give me some advice. First, the annoying data pre-processing. For categorical columns, I extend them to multiple columns. For example, the ""Embarked"" column, if Embarked=S, the extended colums will be (1, 0, 0), if Embarked=Q, the extended columns will be (0, 1, 0), and if Embarked=C, they will be (0,0,1). Other categorical columns include ""Sex"" and ""Cabin"". Note, for Cabin, I treat them as two kinds of values: have_cabin_info and not_have_cabin_info For missing values, take the Age column for example. For those who has Age info: have_age, and those who dose not have Age info: not_have_age. For each entry in not_have_age, say entry_i, find a entry in have_age that is most similar to entry_i, say entry_k. Set entry_i's Age to be the same with entry_k. Second, SVM training and prediction. First scale the training dataset. If you apply linear classification to scaled training dataset, with parameters C = 1, you will end up with accuracy rate 0.7655, whic means you get 320 entries correct. I saw many others got this result. Then I use grid search tools provided by libsvm to find the best parameters. The result is C=8, g=0.5 using RBF kernel and the cross validataion accuracy is as high as 81.9%. (I used up my submissons today and have to wait to submit my new predictions tomorrow.) Any suggestions? Update: Using SVM, I got 0.77990, ranking 107, just the same as the best benchmark. Update: Today, I use the voting method to combine 3 models, SVM model, random forest and gender-class model to obtain 0.78947 accuracy, ranking 74.",2,None,8 ,Tue Oct 30 2012 09:29:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3023,/competitions/titanic,None
/shallybu,Are Halos Uniform in Size?,"Hi I'm wondering if the Halos are uniform in size, or do they vary? In real life then they would obviously vary but as this is simulated data I'm wondering if the model used to product the data assumes uniform or different sized halos? Also is it possible for halo effects to overlap, as if there are two halos between us and the background halos? Thanks shallybu",0,None,2 ,Tue Oct 30 2012 12:47:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3024,/competitions/DarkWorlds,259th
/zeyaraung,deadline,"Hi, What is the deadline of this competition? Is it Oct 31st midnight (GMT) or Oct 30th midnight (GMT)? Thanks. Best regards, Zeyar Aung",0,None,2 ,Tue Oct 30 2012 14:10:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3025,/competitions/global-energy-forecasting-competition-2012-load-forecasting,13th
/nukacola,lenstool score on training data?,I am aware that the lenstool training predictions won't be published. But how about publishing just the score it gets on the training data?,0,None,8 ,Tue Oct 30 2012 17:07:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3026,/competitions/DarkWorlds,255th
/annedwyer,Python coding problem,"I really have two problems. The first is a basic coding problem. Here's the code: for i in range(0,891): age=data[i,3] surv=data[i,0] i_age=int(age) if i_age<18.0: k_count=k_count+1 if surv==""1"": count=count+1 The problem comes in when I try to turn the string value for age into an integer to get all the passengers that are under 18. I can do it in the Python shell, but not as part of a program. The error is: Traceback (most recent call last): File ""C:/Python27/age"", line 15, in <module> i_age=int(age) ValueError: invalid literal for int() with base 10: '' Any ideas? Also, I'm trying to use Numpy to count things, but I am having trouble with logical ands. For example, I would like to somehow write some code where I can find all the values where age<18 and surv=1. Clearly, I haven't been able to figure it out because I am using loops. Thanks",0,None,2 ,Tue Oct 30 2012 19:55:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3029,/competitions/titanic,None
/dougmillner,Methods used and preconditioning of data,Now that the contest is over. I was curious if you guys could share what you did. Our group used a neural network and pitched data that showed a lot of error in the first fitting pass. Nothing magical but it gave us decent results.,0,None,14 ,Wed Oct 31 2012 04:48:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3033,/competitions/GEF2012-wind-forecasting,26th
/prateekverma0,Leader Board RMSE computation,"This leaderboard is calculated on approximately 25% of the test data. The final results will be based on the other 75%, so the final standings may be different. say if the model fails to generalize well we will get a much larger error on the complete data. with the complete result or atleast result with majority of data we can be sure that model is generlizing well is it not possible to display the results for complete result,or results for say 75% data",0,None,2 ,Wed Oct 31 2012 09:05:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3034,/competitions/answer-sorcerer,9th
/paperplates,getting the data?,"Firstly congratulations to the winners, and thanks to the organisers. Probably has been asked before, but any chance the missing data could now be made available? This also goes for other similar competitions on Kaggle too. Is there a policy about this one way or the other? I asked about it in relation to the acm best buy competition but there was no reply. Thanks.",2,None,5 ,Wed Oct 31 2012 18:06:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3036,/competitions/GEF2012-wind-forecasting,71st
/kubokonecny,DarkWorldMetric for Octave/Matlab,"Hi, I actually never wrote anything in Python, so I wrote a function to compute the distance as described on Evaluation page. Although, I can't be sure I understood properly how the distance is calculated. I would like to ask, what is the distance on those 300 train skies, if you put all halos to the center of sky (2100, 2100). My function tells me, it is 1.6321. Where F = 1.6054, G = 0.0267. The (commented) function is attached, so you can take a look at it if you need it too or want to fix a bug. Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4911/ComputeDarkWorldMetric.m",2,bronze,4 ,Wed Oct 31 2012 18:10:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3037,/competitions/DarkWorlds,138th
/glider,Writeup Deadline - Nov 1,"Reminder to all participants who finished above the benchmark: To be eligible for the main prize: Participants should submit their algorithms, models, complete code and a detailed report via email to the General Chair of GEFCom2012 (Dr. Tao Hong, hongtao01@gmail.com) by 11/1/2012. Selected entries will be invited to the IEEE PES General Meeting 2013 in Vancouver, Canada to present their methodologies and results. The final winners will be determined by the GEFCom Award Committee after the presentations based on forecasting accuracy, clarity of documentation, rigors of the approach, interpretability of the models and practicality to the industry. PS- If you are in an area effected by the hurricane power outages, let us know and we can work-out an extension.",0,None,5 ,Wed Oct 31 2012 19:20:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3039,/competitions/GEF2012-wind-forecasting,None
/glider,Writeup Deadline - Nov 1,"Reminder to all participants who finished above the benchmark: To be eligible for the main prize: Participants should submit their algorithms, models, complete code and a detailed report via email to the General Chair of GEFCom2012 (Dr. Tao Hong, hongtao01@gmail.com) by 11/1/2012. Selected entries will be invited to the IEEE PES General Meeting 2013 in Vancouver, Canada to present their methodologies and results. The final winners will be determined by the GEFCom Award Committee after the presentations based on forecasting accuracy, clarity of documentation, rigors of the approach, interpretability of the models and practicality to the industry. PS- If you are in an area effected by the hurricane power outages, let us know and we can work-out an extension.",0,None,1 Comment,Wed Oct 31 2012 19:21:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3040,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/drk123,Thanks Everyone,"This was a fun contest. Thanks to everyone who dug up external data. Special thanks to YetiMan for so many posts, especially about the data. Also, thanks to David Chudzicki for stepping in when appropriate and making tweaks as needed. It is difficult to tune a plane's engine mid-flight, but I think the Kaggle team did a nice job of keeping things running smoothly. Congrats to the winners! I look forward to seeing the winning entries. Cheers, Dave Klein",0,None,10 ,Wed Oct 31 2012 22:31:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3043,/competitions/us-census-challenge,24th
/camdavidsonpilon,Solutions to the challenge,"Hi, here's a blog post detailing my solution for the competition. [Link]:http://camdp.com/blogs/kaggle-data-science-solution-predicting-us-census- If anyone else has a blog posting, or would like to post a solution, please do so here.",3,bronze,25 ,Thu Nov 01 2012 03:26:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3045,/competitions/us-census-challenge,41st
/rkirana,Who gets invited to private competitions?,What are the Kaggle rules to send invites to private competitions? I was looking at AllState and see that many in the top 20 and a random sample of the rest have been invited. It will help if the rules to select folks for private competitions are published. For example: I have never been invited to one -,0,None,3 ,Thu Nov 01 2012 07:59:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3046,None,None
/sashikanthdareddy,When will the winner's solution be posted?,"It has been more than a month since this competition has ended, any update on when the winner's solution will be posted to the public forum?",0,None,2 ,Thu Nov 01 2012 16:35:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3049,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,7th
/erdman,Output of Gridded Benchmark differs,"I tried running the Gridded Signal Benchmark, and my output was different from that provided by Kaggle. Here's my diff: 16:25:40 travis@PW:~/Documents/kaggle/darkmatter$ diff gsb.csv Gridded*.csv 4,6c4,6 < Sky3,2240.0,3640.0,0.0,0.0,0.0,0.0 < Sky4,2800.0,3640.0,0.0,0.0,0.0,0.0 < Sky5,2520.0,2800.0,0.0,0.0,0.0,0.0 --- > Sky3,2240.0,2240.0,0.0,0.0,0.0,0.0 > Sky4,840.0,1400.0,0.0,0.0,0.0,0.0 > Sky5,2800.0,3080.0,0.0,0.0,0.0,0.0 11c11 < Sky10,1680.0,1960.0,0.0,0.0,0.0,0.0 --- > Sky10,1960.0,3640.0,0.0,0.0,0.0,0.0 24c24 < Sky23,2800.0,3640.0,0.0,0.0,0.0,0.0 --- > Sky23,3080.0,3080.0,0.0,0.0,0.0,0.0 30c30 < Sky29,1400.0,0.0,0.0,0.0,0.0,0.0 --- > Sky29,1680.0,0.0,0.0,0.0,0.0,0.0 34c34 < Sky33,2520.0,1400.0,0.0,0.0,0.0,0.0 --- > Sky33,2240.0,2240.0,0.0,0.0,0.0,0.0 38c38 < Sky37,1960.0,3640.0,0.0,0.0,0.0,0.0 --- > Sky37,2800.0,1400.0,0.0,0.0,0.0,0.0 43c43 < Sky42,1960.0,3920.0,560.0,1960.0,0.0,0.0 --- > Sky42,560.0,1960.0,1120.0,3920.0,0.0,0.0 46c46 < Sky45,2520.0,840.0,280.0,1400.0,0.0,0.0 --- > Sky45,280.0,1400.0,1960.0,1120.0,0.0,0.0 48,49c48,49 < Sky47,3640.0,280.0,3640.0,3360.0,0.0,0.0 < Sky48,1960.0,3640.0,1400.0,280.0,0.0,0.0 --- > Sky47,3640.0,3360.0,560.0,560.0,0.0,0.0 > Sky48,560.0,840.0,1960.0,3640.0,0.0,0.0 54c54 < Sky53,2520.0,280.0,1960.0,2800.0,0.0,0.0 --- > Sky53,3080.0,3640.0,2520.0,280.0,0.0,0.0 56,58c56,58 < Sky55,0.0,3080.0,3080.0,2520.0,0.0,0.0 < Sky56,2520.0,3640.0,1120.0,560.0,0.0,0.0 < Sky57,280.0,3080.0,560.0,1680.0,0.0,0.0 --- > Sky55,1680.0,2240.0,3080.0,560.0,0.0,0.0 > Sky56,840.0,2520.0,2520.0,3640.0,0.0,0.0 > Sky57,280.0,3080.0,0.0,3360.0,0.0,0.0 61c61 < Sky60,1120.0,2800.0,840.0,2800.0,0.0,0.0 --- > Sky60,1120.0,2800.0,560.0,3920.0,0.0,0.0 65c65 < Sky64,1960.0,2240.0,280.0,2240.0,0.0,0.0 --- > Sky64,1400.0,2240.0,1960.0,2240.0,0.0,0.0 67,68c67,68 < Sky66,2800.0,1120.0,3640.0,560.0,0.0,0.0 < Sky67,3080.0,0.0,280.0,0.0,0.0,0.0 --- > Sky66,2800.0,1120.0,2240.0,1120.0,0.0,0.0 > Sky67,1400.0,1960.0,1680.0,1960.0,0.0,0.0 73c73 < Sky72,560.0,2240.0,560.0,1960.0,0.0,0.0 --- > Sky72,560.0,2800.0,560.0,1960.0,0.0,0.0 78c78 < Sky77,1960.0,3920.0,0.0,3360.0,0.0,0.0 --- > Sky77,3920.0,1400.0,2520.0,1400.0,0.0,0.0 83c83 < Sky82,2800.0,280.0,3920.0,1400.0,3360.0,2240.0 --- > Sky82,840.0,1680.0,560.0,0.0,2800.0,280.0 86c86 < Sky85,0.0,3920.0,1960.0,3640.0,0.0,3360.0 --- > Sky85,0.0,3920.0,1960.0,3640.0,280.0,3080.0 88c88 < Sky87,2240.0,3920.0,280.0,2240.0,280.0,3360.0 --- > Sky87,1120.0,2800.0,2240.0,3920.0,280.0,2240.0 101c101 < Sky100,280.0,2520.0,560.0,840.0,3080.0,0.0 --- > Sky100,0.0,0.0,280.0,2520.0,560.0,840.0 105c105 < Sky104,280.0,3360.0,2800.0,3080.0,560.0,3360.0 --- > Sky104,2800.0,3080.0,560.0,3360.0,840.0,2240.0 108c108 < Sky107,1680.0,3080.0,3920.0,560.0,3640.0,560.0 --- > Sky107,3920.0,280.0,1680.0,3080.0,3640.0,2520.0 113c113 < Sky112,280.0,560.0,280.0,1400.0,3360.0,3640.0 --- > Sky112,280.0,560.0,2240.0,1120.0,3920.0,1120.0 116c116 < Sky115,3920.0,1400.0,1960.0,840.0,3920.0,3640.0 --- > Sky115,3640.0,1680.0,3920.0,1400.0,1960.0,840.0 121c121 < Sky120,1960.0,280.0,560.0,2240.0,1120.0,3080.0 --- > Sky120,1680.0,280.0,1960.0,280.0,560.0,2240.0 I'm running Python 2.7.2+ and Numpy 1.5.1 on 32-bit Ubuntu. This is deterministic algo, so output should be the same. Can anyone explain the difference? Oh, and it scores a lot worse too, 1.76738 for my output vs 1.58061 listed by Kaggle.",0,None,7 ,Fri Nov 02 2012 00:49:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3050,/competitions/DarkWorlds,73rd
/yetiman,"For peer review, as per the rules","(Attached is all the source code required to approximately duplicate my submission, and a README with instructions) Some Introductory Commentary Let me start by saying that I've wanted to be a writer, on and off, for most of my life. I know, you're asking yourself what the heck this has to do with the Census challenge and how I approached it. But believe it or not, it has a lot of relevance. Two of the most painful lessons I have learned from trying to write are: 1) I am no cleverer than anyone else, and the more I attempt to prove my cleverness (to myself? Others?), the worse my writing becomes, and 2) Even if I write the most brilliant paragraph imaginable – with sparkling prose and layers of meaning and emotion – if it doesn't fit the story I'm writing as a whole I need to get rid of it. Anything that doesn't further the story needs to be ruthlessly cut. I'm sure you understand where I'm going with this by now, but let me spell out the details. My original approach to this challenge was to attempt the now-classic Netflix Prize everything-but-the-kitchen-sink ensembling method. I vowed not to spend too much time tuning any particular model (which I have a tendency to do), or over-engineering the feature set - to simply crank out as many disparate types of models as I could manage. I would then blend these, probably through stacking, but maybe using a neural network. At the beginning I spent a fair amount of time just getting a feel for the data. First I created lots of new features, mostly based on the numerators and denominators described in the data dictionary. I did some visualization, created some simple linear models, tried to weed out unhelpful or over-correlated features, all the stuff you're supposed to do. In the end, though, I got bored and decided to run lots of models against the entire set of features – especially since external data was allowed, and I had already added dozens of extra features. One note before I continue: Prior to this challenge I had dabbled very briefly in R, but hadn't really gotten very far. Since I had recently managed to break Python on my number crunching PC (trying to run several versions of 2.x and 3.x at the same time... it's a long and boring story) I decided it was a good time to learn a bit more R. After discovering the wealth of available modules I'm now certain this was a very good idea. Rather than bore you with my exact thought processes and all the blind alleys I went down, I'll simply enumerate some of the things I tried. Several neighborhood-based models, including classic kNN, mostly using cosine similarity to measure “distance”, often weighted with geographic distance. Best single model score: 3.95 A variety of CARTs and random forests. I have my own CART and random forest implementations and I can tweak the heck out of them. Best single model score: 2.85 Support Vector Regression (using a subset of 200 normalized variables, chosen by what was deemed “important” by my RF runs). I used both liblinear and libsvm for this. Best single model score (very simple liblinear run): 3.05 Bayesian Additive Regression Trees. I'd never used this before, but had read about it. When I discovered the BayesTree R package I figured what the heck. Best single model score: 2.82 (surprisingly good) After training these models (against 80% of the training data, with a static 20% hold-out set for later stacking purposes) I decided the next thing to try was gradient boosting. I've wanted to write my own gbm package for quite a while, but so far haven't gotten around to it. I've used rt-rank in the past, but it has some drawbacks. But, as always seems to be the case, there are multiple R packages for this. I chose the “gbm” package simply because I know it's been effectively used in other Kaggle competitions. Since part of my goal in this competition was to learn more about R programming – not just how to use packages – I created a framework to handle my 80/20 training data, and to search for good training parameters based on WMAE scores against the holdout set. Not as good as cross-validation, but I figured it would still work well enough, and (as I've mentioned before) allow later stacking. I went back and forth about whether to minimize weighted squared error or absolute error (gaussian vs. laplacian distribution) – unfortunately the gbm package doesn't allow weights with laplace distributions. After some preliminary tests I decided reducing absolute error was a better choice, not because the scores were better, but because adding a weight vector made my memory use balloon out of control. I still don't know whether there's a problem with the package itself, or whether I was doing something wrong. One other note about the gbm package: I think it might have a memory leak in the “predict” method. Each time I did a prediction against the hold-out set (usually after every 50-100 trees) memory usage rose dramatically and never seemed to fall again. I ended up with a terrible hack: saving the gbm object after every 5000 trees, then restarting the R program using that as the starting point. Alright, I've strayed off the path and into the weeds a bit, I'll try to get back to my original point soon. I let my gbm gizmo run for several days and still hadn't found optimal training values, but there did seem to be a couple of patterns. Lowering the shrinkage parameter always seemed to improve the accuracy of the model (at the cost of adding more trees, which increased the run time). Increasing the interaction.depth parameter also seemed to help (but, again, increased the run time). Finally I got impatient and set the interaction depth to 12 and the shrinkage to 0.01 – numbers that I hoped would offer a good trade-off between accuracy and run time – and started a run. I was still using the 80/20 split and measuring error as WMAE against the 20% hold-out set every 100 trees (using gbm.more to add trees). It ran for a day, then two days, then three... The error was still dropping, though more and more slowly as you'd expect. The number of trees grew to what felt like an absurd number: 25,000. Finally I stopped the run, thinking that maybe my R code was buggy, that something was wrong with my error checking. The WMAE measured against the hold-out set seemed to low to be accurate. Surely there was something wrong. Also I was reaching the limits of what I could fit in the RAM available. As I started to check my code for errors I set up a production run (against 100% of the training data). What the heck, right? I ran it with the same parameters, all the way up to 25,000 trees. The score not only put me in first, but by a significant margin. And now, I'll finally get back to my original point. My gbm run was not clever. Sure I had added a bunch of new features, created from both the data provided and external sources, but I hadn't even bothered to normalize any of them, or reduce the effect of outliers (return rates of 0 and 100 that seemed improbable). I had done nothing special. So it was time to get back to my original plan. I would stack all my models, drastically reducing my already excellent score, then work on other models that could also be blended, hopefully staying one step ahead of my competitors. Except nothing I stacked with the gbm improved it in the slightest. All my other models, even the really clever ones, were useless. I couldn't believe this was really true, so I built a neural network (not in R) and attempted to blend models using that. Then I tried every other blending method I could think of. Still there was no improvement over the solitary gbm model. Then, to add insult to injury I discovered (after adding more features – participation rates and the like – and figuring out how to fit a 37,000 tree gbm run into RAM) that I had an error in some of my earliest code. Not a serious error, but an error nonetheless. The rest of the contestants had not remained idle, either, and were getting closer and closer, finally overtaking me. Would correcting the error improve my score enough to fight my way back to first place? I doubted it. Plus I had no time to do another full run. I had wasted too much time trying one blending method after another rather than improving the one really effective model I had discovered. Remember the premise of this diatribe? Once again... lesson learned. Don't get too attached to what you create. If something isn't helping, get rid of it. Feel free to ask questions. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4924/README [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4925/census.tar.gz",17,gold,3 ,Fri Nov 02 2012 01:23:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3051,/competitions/us-census-challenge,3rd
/ashlesha3,Can you use nltk for Kaggle contests?,"Hi, Kaggle rookie here. This is my first post here. I have to submit an entry for a competition hosted for my class assignment (Kaggle inclass). I'm using Python and would like to know if I can use nltk for my submission? And if yes, then can I just import the nltk library and start using it's components (which may require the wordnet corpus) or will I have to include those files somehow in the zip file I attach for my submission?",0,None,1 Comment,Fri Nov 02 2012 07:08:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3054,None,None
/jamessalsman,Can the data discern black holes from WIMPs?,"I am concerned that the way this competition is currently formulated, any analysis of the given data will be unable to discern between my expectation that about 1% of black holes are about 100,000 solar masses (intermediate mass black holes, IMBHs, which may be the second most popular explanation of dark matter [Link]:http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2966.2006.10801.x/abstract [Link]:http://arxiv.org/pdf/0910.1152v1.pdf [Link]:http://arxiv.org/pdf/1205.6467v1.pdf [Link]:http://iopscience.iop.org/2041-8205/720/1/L67/pdf/2041-8205_720_1_L67.pdf [Link]:http://www.sciencedirect.com/science/article/pii/S0920563210001003) and the alternative popular expectation of weakly interacting massive particles (WIMPs.) Would the organizers please add [Link]:http://www.srl.caltech.edu/NuSTAR_Public/NuSTAROperationSite/Home.php to this competition? An analysis of, for example, the 30 keV x-rays [Link]:http://www.nasa.gov/mission_pages/nustar/multimedia/pia16213.html would be more likely to resolve this issue. All the present task does is calibration of gravitational macrolensing, which will not help determine the composition of dark matter as far as I can tell. Thank you for your kind consideration of this request.",0,None,8 ,Fri Nov 02 2012 17:51:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3055,/competitions/DarkWorlds,None
/renz85,new priors,"Perhaps anyone can tell what are prior probabilities in a newer training set? Old ones were: [0.00913477057600471, 0.004645859639795308, 0.005200965546050945, 0.9791913907850639, 0.0018270134530850952]. Too lazy to download whole file just to get these numbers. Thanks, ren",0,None,8 ,Fri Nov 02 2012 19:12:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3056,/competitions/predict-closed-questions-on-stack-overflow,23rd
/dchudz,Private Leaderboard Hidden -- oops,"The private leaderboard is accidentally hidden until the end of the ""visualization"" competition. Sorry. Here's a screenshot of the top of it. The top two teams are not eligible for prize money. The next two have posted code for review (to give other contestants an opportunity to confirm that they conform with the rules). maternaj & Paul Mineiro will post code within the next 25 hours. Thanks, David [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4942/Capture.PNG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4945/PrivateLeaderboard.PNG",0,None,8 ,Fri Nov 02 2012 23:58:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3059,/competitions/us-census-challenge,None
/natrajponna,Rules for entering private competitions,Hello Data Scientists!' I am quite new to Kaggle and I was wondering if there is anyway to get into PRIVATE competition for AllState Called WILL I STAY OR WILL I GO. I wanted to participate and access the data but the competition gives me a view only access and it says it is private competition. Please help me out in finding a way. Thanks in advance! Natraj,0,None,1 Comment,Sat Nov 03 2012 23:32:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3064,None,None
/rkirana,"Thanks StackOverflow, Kaggle & Ben",I would like to thank StackOverflow for organizing this competition and to Ben & kaggle for moderating this. As usual great learnings from another kaggle competitions. Looking forward to more classification/NLP problems on kaggle,0,None,1 Comment,Sun Nov 04 2012 07:30:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3067,/competitions/predict-closed-questions-on-stack-overflow,14th
/rkirana,sky 11 has 722 galaxies,"per description, each sky ought to have between 300 and 720 galaxies. how come sky 11 in train has 722 galaxies. Should we ignore the additional galaxies?",0,None,1 Comment,Sun Nov 04 2012 12:27:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3068,/competitions/DarkWorlds,132nd
/rkirana,halo size,is it fair to assume that all halos or dark matter are of the same size?,0,None,1 Comment,Sun Nov 04 2012 13:18:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3069,/competitions/DarkWorlds,132nd
/rkirana,dumb question: center of galaxy,"one more dumb question: we have e1, e2 which are ellipsities of the galaxy in the sky what is the center of the galaxy in the sky? is (x, y) the true center or is it the center of the ellipse? Will the center of the ellipse for a galaxy be the same its actual center or will the center also be distorted by the halo?",0,None,2 ,Sun Nov 04 2012 13:20:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3070,/competitions/DarkWorlds,132nd
/enhance,Solution Type,"Hi, Just had a question or few on a few things I'm unsure on. Is the solution expected to be an alogrithm such as a function declaration (with arrays of data passed as inputs), or would a trained artificial neural network be acceptable? The ANN could also be a better long term solution as more and more training data is consumed. While the universe being modelled is (apparently) 3d, for the purposes of data modelling and a solution everything appears to be 2d, is this correct? Note: No physics ed, just trying the comp as programming fun Thanks!",0,None,1 Comment,Sun Nov 04 2012 16:45:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3071,/competitions/DarkWorlds,None
/manfredaszabarauskas,Transformations,"The following transformations have been applied: squaring NumberOfTime30-59DaysPastDueNotWorse, cubing NumberOfTime60-89DaysPastDueNotWorse, taking a logarithm of (RevolvingUtilizationOfUnsecuredLines + 1), taking a square root of Age. All of them were discovered by exploring the data in Excel (e.g. using the log to smooth out the noise in RevolvingUtilizationOfUnsecuredLines, etc) and experimenting with different feature combinations/non-linear functions to improve the AUC. All of these transformations marginally improved the AUC.",0,None,1 Comment,Mon Nov 05 2012 11:57:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3072,/competitions/oxford-credit-scoring-competition-late-2012-edition,41st
/jsn1313,Aftermath & What now?,"Whew! That was fun, wasn't it? Many thanks to StackOverflow and Kaggle for making that happen. I never did any real data mining before, so this contest was a great opportunity for me to try it. It was very educational -- got to learn some octave, python and numpy / scipy. Obviously nobody could touch mr. Melis, but at the 2nd place and below the competition was pretty fierce, and luck was definitely a factor there. So, what happens now? My understanding is that the organizers will try to reproduce the results of all in-the-money teams on their hardware, asking the teams for instructions and clarifications when necessary; then the winners list will be finalized and the prizes will be distributed. Is there an approximate timeline for that, or something?",0,None,2 ,Mon Nov 05 2012 15:19:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3073,/competitions/predict-closed-questions-on-stack-overflow,2nd
/squaredloss,Attention python data hackers: new library for rapid machine learning prototyping,"Hi Kagglers, I thought you might be interested in checking out my new (and alpha) python library [Link]:http://github.com/kvh/ramp for rapid ML prototyping. I wrote a quick blog post introducing it: [Link]:http://www.kenvanharen.com/2012/11/getting-started-with-ramp-detecting.html. If it sounds useful or interesting, check it out. Like I said, it is alpha, and not well documented yet, but I've been using it on a few projects and already couldn't imagine working without it. happy hacking! kvh",3,bronze,3 ,Mon Nov 05 2012 22:14:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3074,None,None
/rkirana,are these statements valid?,I am making 2 statements based on forum discussions (1) Galaxies and the halo are in the same plane. So we can calculate the angle from the galaxies to the halo. The angle can be anywhere between 0 and 180 degrees (2) The halo is actually ahead of the galaxies meaning in front of it. So the distance from the halo to the galaxies cannot be calculated. How correct are these statements?,0,None,6 ,Tue Nov 06 2012 06:00:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3077,/competitions/DarkWorlds,132nd
/rossparks,Clarification for Newbies,"There are genarally three data sets when working with a model. 1. Training data set ""train"" in this case which is used to build your model and make assumptions 2. A test data set which is used to test your models accuracy for a self check. 3. A validation data set which is used to test your results without being able to see those observations. The test data set is what is being used to score your public score and the validation data set is what is being used to determine the final score on September 28th 2013.",1,None,6 ,Tue Nov 06 2012 17:39:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3079,/competitions/titanic,None
/catalingavriluta,Zone 9,I have a curiosity. What type of industry or consumers could generate the profile of Zone 9? What is in that area?,0,None,2 ,Wed Nov 07 2012 17:53:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3080,/competitions/global-energy-forecasting-competition-2012-load-forecasting,22nd
/lisasolomon,"Webinar signup: Gradient Boosting and Classification Trees: A Winning Combination. November 9, 10-11 a.m., PST","Webinar signup: Gradient Boosting, Tree Ensembles and Classification Trees: A Winning Combination November 9, 10-11 a.m., PST. Webinar Registration: [Link]:http://2.salford-systems.com/gradientboosting/ Understand major shortcomings of using only decision trees and how tree ensembles can help overcome these challenges and improve your model building. Combine all of the advantages of using classification and regression trees with the power-house accuracy and interpretability of stochastic gradient boosting.",3,bronze,5 ,Wed Nov 07 2012 19:11:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3081,None,None
/anlthms,Script for installing lenstool,"This script may be of some use to folks trying to get lenstool installed. I wrote it for my Ubuntu box. Other than the apt-get command to install the Fortran compiler, the rest of the steps should work on any Unix. It tries to download and install all the dependencies (GSL, CFITSIO, WCSTOOLS and PGPLOT). Note that the script assumes that you have root permissions. #!/bin/bash wget http://gnu.mirrors.hoobly.com/gnu/gsl/gsl-1.15.tar.gz tar xvfz gsl-1.15.tar.gz cd gsl-1.15 ./configure && make sudo make install cd .. wget ftp://heasarc.gsfc.nasa.gov/software/fitsio/c/oldvers/cfitsio2510.tar.gz tar xvfz cfitsio2510.tar.gz cd cfitsio ./configure && make sudo make install export CFITSIO_DIR=`pwd` cd .. wget http://tdc-www.harvard.edu/software/wcstools/wcstools-3.8.7.tar.gz tar xvfz wcstools-3.8.7.tar.gz cd wcstools-3.8.7 make export WCS_DIR=`pwd` export ac_cv_lib_wcs_pix2wcs=yes cd .. wget ftp://ftp.astro.caltech.edu/pub/pgplot/pgplot5.2.tar.gz tar xvfz pgplot5.2.tar.gz cd pgplot export PGPLOT_DIR=`pwd` cd .. sudo apt-get -y install gfortran wget http://projets.oamp.fr/attachments/download/348 -O lenstool_v6.7.1.tar.gz tar xvfz lenstool_v6.7.1.tar.gz cd lenstool_v6.7.1 ./configure && make sudo make install cd .. if [ ""`which lenstool`"" == """" ] then echo Installation failed. else echo Installation succeeded. fi [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/4989/instlens.sh",7,silver,5 ,Wed Nov 07 2012 23:37:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3082,/competitions/DarkWorlds,6th
/marcolui,Sharing my solution (Ranked #10),"Hello all I joined this competition fairly late in the game, partly intrigued by Foxtrot's post [1]. I'd first noticed the competition when it was announced, but had not got round to looking at it until about 1 week before the closing of the model phase. I was not sure of how to deal with the quantity of data available, as this was larger than I had tackled in the past. I had a number of sub-sampling approaches in mind, but they seemed like quite a bit of work for something that might not pay off. Foxtrot's post pointed out Vowpal Wabbit [2], which I'd previously heard of but never paid any real attention to. I saw what he was doing with it, which gave me a great platform to build from. I quickly replicated his set-up, then implemented cross-validation, then set about generating some additional features. In the end, I did better than I expected - perhaps because people made mistakes in their final submissions that they did not realize until the final scores were released, or perhaps because solutions had been tuned against the leaderboard results and ended up overfitting. I had alot of fun learning new tools, and working at a higher pace than I'm used to. In the spirit of Foxtrot's original post, I am sharing my own implementation [3]. [1] [Link]:http://www.kaggle.com/c/predict-closed-questions-on-stack-overflow/forums/t/2818/beating-the-benchmark-hands-down [2] [Link]:http://hunch.net/~vw/ [3] [Link]:https://github.com/saffsd/kaggle-stackoverflow2012",16,bronze,4 ,Thu Nov 08 2012 03:19:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3083,/competitions/predict-closed-questions-on-stack-overflow,10th
/mikenielsen,Help Diagnosing Model,"Hi, I'm very new to this field, and so this question may seem a little dumb; please bear with me, because I'm quite confused. I've developed a model that gives me the following confusion matrix (I'm cross-validating using samples of the data): True false True True Class Precision Pred. false 514 4 99.23 Pred true 35 338 90.62 Class recall 93.62 98.83 This comes out to accuracy of 95.63 +/- 2.42% Yet, when I submit my results, I get a score of about 0.6, when I expected higher based on the apparent performance of the model. I thought it was perhaps I was over-fitting, but don't I diagnose over-fitting by high precision/poor recall? I'm doing a grid-based parameter optimization using both an SVM and a decision forest. Could it be that I'm getting over-fitting because perhaps I'm using too many samples in my cross-validation and parameter selection loop? What would be the diagnostic for that, when the model looks to my eye to be performing quite well? My other thought was that I had my results file in the wrong order, but it seems to be OK. I use 0 as ""died"" and 1 as ""survived"". Is this backwards maybe? Any suggestions or ideas from you big-brain folks would be gratefully received! Thanks!",0,None,5 ,Thu Nov 08 2012 05:31:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3084,/competitions/titanic,None
/jsylvest,visualization,"There seems to be have been some confusion about what the elipticities in the data files mean when it comes to converting them to orientations in the xy-plane. Just to make sure we're all on the same page, would it be possible for the contest organizers to post the training file that would correspond to Figure 2d in the competition details? Or perhaps just the lower left corner of it? Or some other image and corresponding sky data file? I'd like to have a visual sanity check for my trigonometry before moving on to the actual ML aspect of the problem.",0,None,4 ,Thu Nov 08 2012 18:56:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3086,/competitions/DarkWorlds,None
/fellows,xy unit conversion,"@Astro*, Can you tell us the conversion between your xy units (i.e., [0,4200]) and angle? What portion of the real sky does each simulated sky represent? Presumably, this information would be available in real-world data. (?) Thanks",0,None,1 Comment,Thu Nov 08 2012 21:19:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3087,/competitions/DarkWorlds,108th
/rkirana,Timezone when forum admin is available?,"I have a question on which output file to read from lenstool for a sky as it provides so many output files. Which is the output file to read from? As Jason said, kaggle ought to have made running of the benchmark easier with all info in one place instead of scattered information all over If someone can tell me the timezone that AstroDave works in, it will help me take a call on waiting or going to sleep",0,None,6 ,Fri Nov 09 2012 16:25:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3089,/competitions/DarkWorlds,132nd
/lenyel,question: calculation used in genderbasemodelpy.csv,In the code it makes the assumption that because a larger percentage of women survived that all women survived and all men died. Wouldn't it be better to calculate the survival rate of female/male base off of the percentages calculated in the train data and either randomly apply survival rate or just flag the first x percentage of women and y percentage of men survived or am I missing something.,0,None,2 ,Sat Nov 10 2012 14:17:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3094,/competitions/titanic,None
/riyaaz,lenstool benchmark values invalid?,"I see several coordinate values in lenstool.benchmark.csv, which are out of the range of 0 to 4200. Aren't all the x, y coordinates supposed be between 0 and 4200?",0,None,1 Comment,Mon Nov 12 2012 20:35:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3097,/competitions/DarkWorlds,77th
/learner22933,Submitting results in csv or code also?,"I see the in Data section, there is csv and .R code for KNN and Random Forest Technique a.) Do we have to submit both? Like I am using scikits (using IPython Notebook), so shall I submit my *.ipynb file with result.csv? b.) Also, once I submit the result with one technique, say KNN, can I go back and resubmit with another algorithm like Random Forest? which of the submission will be consider? This would be my first submission",0,None,2 ,Tue Nov 13 2012 01:20:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3098,/competitions/digit-recognizer,None
/justinsterkel,Changes on the leaderboard,"A few days ago, I saw someone had posted a remarkable score, near 94%. Today, that score is gone. Does anyone know what happened?",0,None,3 ,Tue Nov 13 2012 03:03:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3100,/competitions/titanic,None
/justinsterkel,Text mining,"I had considered using text mining to match names to known survivors (or victims), but this seems like ""cheating"". On the other hand, for a real (paid) data mining project I would utilize every tool at my disposal. What do you think? Is text mining cheating in this competition?",0,None,1 Comment,Tue Nov 13 2012 03:09:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3101,/competitions/titanic,None
/saint1,New Guy,"Hello, I'm a college student and thinking about doing this for a class project. I was wondering if this project feezable for me. I have a gaming level desktop and a couple standard laptops. My biggest question is what are the running times people have for the benchmark algorithms and the spec of computers they use. Also, I would like to know if people are doing preprocessing and how long that takes. Any other advice would be appreciated. Thank you",0,None,5 ,Tue Nov 13 2012 06:06:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3102,/competitions/DarkWorlds,None
/benjamin12,Result of Gridded_Signal_benchmak.py on trainning skies,"I have tried to run the Gridded_Signal_benchmak.py on the trainning skies provided and compare the result to the trainning halo file. I found that the results (estimated location) are quite different from the answer, did I misunderstand anything? For e.g. I yield (2800,840) by using sky 1 from tranning set, and it should be (1086.8, 1114.61)",0,None,4 ,Tue Nov 13 2012 09:40:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3103,/competitions/DarkWorlds,None
/enricospinielli,halo position outside grid region?,"Is it possible (in real life) to discover halos outside the image grid? I was wondering whether this case is reflected in any training set: IMHO it could well be that you just selected a portion of the sky where the halo is outside and close to the border, hence your algorithm could well spot it just not in the set of pixels of the image. Does this make any sense? Thanks and bye Enrico",0,None,7 ,Tue Nov 13 2012 09:49:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3104,/competitions/DarkWorlds,None
/mickaelleclercq,submit unordered test sky file,"Is there a difference between submitting the Test_haloCounts.csv with halos coordinates in the original order (sky1,2,3....) or not (sky81,118,4...) ? If your verification step use the skyID to get halos coordinates, then I guess that the order doesn't matter.",0,None,2 ,Tue Nov 13 2012 18:43:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3106,/competitions/DarkWorlds,282nd
/washingtonian,number of entries per day,"Hi, Since this competition is for those of us getting used to Kaggle and modeling, can we please be allowed to submit more than two entries per day? Even three or four entries per day, would be of help. Thanks.",1,bronze,8 ,Tue Nov 13 2012 23:23:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3107,/competitions/titanic,None
/ydhiman,Experimenting for variable selection in predictive modelling,How do we choose which predictors to use to predict our target variables 1) Do we just try selecting and de-selecting again and again to find a perfect combintation that well fits out model ( which I believe is not a good way as we will not have an explanation for our model) (a hit and trial method I think it that way) or 2) So we apply some statistcal techniques to first find correlation (note its not causal relationship) to fit our model. or something else ................ Answer to this question is holding me from participation in many competitions from past 11 months. I hope I will get some inputs from professionals,0,None,9 ,Wed Nov 14 2012 07:27:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3108,/competitions/titanic,None
/pmigdal,Visualization Contest - any announcement date?,The voting for the visualization contest of StackExchange has finished 2 weeks ago. Is it known when the winner will be announced? (Or did it already happen but I missed it / didn't know where to find it?),0,None,3 ,Wed Nov 14 2012 14:58:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3109,/competitions/predict-closed-questions-on-stack-overflow,None
/alirezatabebordbar,Consider all skies seprately or we have to consolidate them in to One file?,i have problem how to analyze the data should i consider them seprately or i have to integerate all skies in to one file and why the bench mark have 120 records?,0,None,10 ,Fri Nov 16 2012 15:27:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3119,/competitions/DarkWorlds,191st
/gkoundry,Single node paths,There are quite a few entries in the paths file with only one node listed and I'm assuming this is a mistake. My question is how are these being scored by Kaggle?,0,None,1 Comment,Fri Nov 16 2012 16:32:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3120,/competitions/facebook-ii,18th
/kkonkows,Cross-validation and submission results,"Hello Team, I've trained two classifiers so far, which give me high results on randomly samples cross validation set (>15% of training set). I get a accuracy of 87%. However, when I predict test set and submit it to Kaggle my results are quite poor - 7x%. I am checking all of my text to numbers conversions and can't find any errors. And I actually take only primary data - such as age, gender, class, intercept. A question to more experienced Kaggle users - do you have any clues why would such situation happen and where I should be putting my attention to? Thanks, Krzysztof",0,None,5 ,Sat Nov 17 2012 14:04:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3124,/competitions/titanic,None
/naimo69663,Still Working on This Dataset (17 Nov 2012)?,"Hey Everyone, I am a Financial Math grad student. I realize the competition was over about ten months ago, but I am fascinated by this dataset and would be mining it as a course project for the next two months or so. If anyone is currently working or planning to work on this dataset, feel free to share your thoughts/questions on this forum and I would love to collaborate with you. Majid",0,None,11 ,Sun Nov 18 2012 00:12:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3128,/competitions/AlgorithmicTradingChallenge,None
/imam123,Ellipticity of galaxies close to Halo and GMM,"Hi Kagglers, I am a newbie to ML and this is my first post. I want to share my current approach. I am only using raw data. I have extracted elliptcities of 50 nearest of galaxies (from centre of Halo based on Euclidean distance) from each training sky and then built a GMM out of it. I am assuming galaxies closer to Halo have more effect on their ellipticity. Then I am doing a grid search and using negetive log-likelihood to detect presence of Halos. My predictions are quite off. Is my approach wrong? Should I not use raw data or are my assumptions wrong? Please comment",0,None,5 ,Sun Nov 18 2012 09:39:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3129,/competitions/DarkWorlds,142nd
/pauline,Submission reports,"For the first submission the provided logistic regression code has been used. The results without any transformation are as follows: 1000 iterations with gradient descent generated a final training cross entropy of 41340 (heldout: 4754) and the value for the training AUC is 0.5667 (0.57 respectively). BFGS led to better results consisting of training AUC = 0.6937 (0.6926 respectively) using 65 iterations. The results obtained by using BFGS have been improved by using two simple transformations: 1) Applying the sqrt-function provided by numpy on every feature in the training, development, and test data sets increased the training AUC up to 0.8054 (heldout development AUC = 0.8165) using 32 iterations. 2) Even better results could be achieved by applying the tanh-function (also as provided by numpy) on all features. This caused an increase of the training AUC up to 0.8516 (heldout development AUC = 0.862) using 22 iterations.",0,None,1 Comment,Mon Nov 19 2012 10:06:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3132,/competitions/oxford-credit-scoring-competition-late-2012-edition,21st
/ccccat,Edge effects,"It is obvious that many models will perform poorly near edges on the skies. However, in real world there are no edges - any ROI can be shifted to the center of the field. I am not saying that competition rules should be changed or adjusted. I would just recommend sponsors when they look for ideas to implement to look mainly at models that perform the best for halos situated at the center of test skies.",0,None,1 Comment,Mon Nov 19 2012 15:40:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3145,/competitions/DarkWorlds,184th
/rahulbiswas0,Are Halo Masses identical ,"In order to get an idea of COG, can I consider masses of Halos to be almost identical.?",0,None,8 ,Mon Nov 19 2012 19:34:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3146,/competitions/DarkWorlds,None
/zeno170048,Can't see the forest through the trees,"After much study and contemplation, I have deduced that the only way the unuverse could have been spawned from Nothing, is that Nothing somehow split into equal portions of matter and antimatter - thereby conserving the net sum of Nothing. What I further deduced is that matter is what we know as nucleic material - large, static, and heavy. Antimatter is made of electrons - small, dynamic, with almost no mass. Since there should be equal amounts of matter and antimatter to preserve the sum of Nothing, there are many more antimatter particles than particles of matter. So much more that, after binding with matter and forming atoms, there are many, many more antimatter particles left over that fill the voids of space. This medium of what I call ""freelectrons"" is the medium by which light travels - waves of freelectron particle interaction - which answers the question of why light sometimes acts as a particle, and sometimes like a wave. Without taking too much forum space, my conclusion is that Freelectrons are dark matter. They fill the voids of space. They are the electromagnetic means of gravity. They are not clumped together in masses, exerting gravitational effects. They are extremely dynamic particles that are dispersed very uniformly throughout the universe. They can, however appear to affect the path of light around massive objects or galaxies due to the gravitational effects on freelectron particles: The effects are that the particles will be more dense around a massive object, creating a ""lens"" effect. Freelectrons explain many more mysteries of the universe, but for purposes of this conversation, I say, freelectrons ARE dark matter, and they are everywhere. Which is why we have not been able to see the ""forest through the trees"". -Zeno",0,None,12 ,Mon Nov 19 2012 22:03:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3147,/competitions/DarkWorlds,None
/ydhiman,How does KPI's help in model building?,"I am able to make a model which shows increase in Lift, Overall Accuracy, AUC, Max. Profit values when compare to my last submission (Note: I have also added 3 derived variables) ? But, when I check my test data with my last submission, a lot of male passengers which were not survived, are now predicted as survived. Should I trust my KPI's or should I trust on my past submission data? Thanks",0,None,2 ,Tue Nov 20 2012 11:12:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3150,/competitions/titanic,None
/dannygenao90,Complex life in other planets.,I always hear about how difficult it would be to produce life else where in the universe due to the differences between our planet's situation as oppose to others. Life can not exist because there is no water and all the right possibilities are not in tact but my question is how do we know that these other life forms do not live off the nature in other planets? For example instead of breathing oxygen the different organisms simply use other gases.,0,None,1 Comment,Tue Nov 20 2012 21:53:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3153,None,None
/pamelachua,Submission/format error,"Just to confirm, the submission is in csv form with the first column as the prediced values between 0 to 1? I submitted a file in such a form (not the exact values posted here) but it seems to be wrong (or it could be something else that is at fault here but I'm trying to figure out what it is). 0.07348 0.007375 0.8593 0.1788 0.2975 Thanks. ===== EDIT: submission using binary values of 0,1 worked. (Seems contrary to what was written on Piazza but I might be missing something) Sorry for the confusion ======",0,None,2 ,Tue Nov 20 2012 22:29:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3154,/competitions/titanic-2012-for-stat-202,33rd
/ydhiman,Best Visualization tool ?,Which is the best visualization tool which we can use ?,0,None,12 ,Wed Nov 21 2012 08:52:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3155,/competitions/titanic,None
/astrodave,LENSTOOL results from training data,"Hi all, Everyone has been asking about lenstool on training data. After much deliberation we decided to publish the results lenstool did on the training data. THE INPUT FILE DOESNT APPEAR TO HAVE A HEADERYour average distance in pixels you are away from the true halo is 906.240912233Your average angular vector is 0.0851481869005Your score for the training data is 0.991389099133 Thanks AD [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/5094/result.csv",12,gold,10 ,Wed Nov 21 2012 13:35:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3157,/competitions/DarkWorlds,126th
/melikeyigit,How Precision Value Is Calculated?,"Hi, I implement a followee suggestion program however, I do not know how can I calculate precision. I look at: http://www.kddcup2012.org/c/kddcup2012-track1/details/Evaluation. I don't understand this calculation. There is KDD_Track1_Solution which have userID/number of clicks and indicator columns. This precision value is calculated according to these clicks. Can you help me? ap@3 = (1/1 + 2/3)/3 ≈ 0.56 I cannot understand 1/1+2/3 in here. Thanks. Melike Yiğit",0,None,1 Comment,Wed Nov 21 2012 13:57:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3158,/competitions/kddcup2012-track1,None
/galileo,Maximum Likelihood Benchmarks for 1 halo,"It appears that there are large discrepancies between the 1 halo output from the Maximum_likelihood_Benchmark.csv file, and the 1 halo output from the Training_halos.csv file. Presumably the grid size would affect the resolution of the final locations (i.e. the finer the grid, the better the location). But the results are pretty bad for even this coarse setting (n_bins=10). Are the underlying assumptions of the model correct? That is, given that the final outputs were generated from a simulation, did you indeed assume a 1/r force law and a tangential force component given by that trigonometric relation mentioned in the documentation when you ran the simulation? [Presumably you took the simulation output and ""tossed"" in some Gaussian noise.] If so, it's not clear to me why the maximum likelihood benchmarks for the 1-halo case are so poor. Thanks!",0,None,7 ,Wed Nov 21 2012 19:14:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3159,/competitions/DarkWorlds,310th
/imam123,Likelihood not really peaking at center of halo in Training,"Hi I am experimenting with maximum likelihood function provided here. The likelihood is significantly higher at center of halo (provided in training) compared to a random point in the corresponding sky as expected. But when searching within the vicinity of halo center (I am adding and substracting 10 each time from given x_halo, y_halo) , likelihoods higher that central halo cordinates are observed. For example lets assume for training sky1 the halo is at (1000,1000). The likelihood should be highest of any point within the grid. Now if you compute likelihood at say (1010,1000), (990,1010), or (1020,1000) so on you get likelihood higher than at (1000,1000) which is real halo center. Why is that? Shouldn't the likelihood at halo center be maximum of any point within grid? What is causing this drift/bias? Is is due to cosmic shear(intrinsic allignment) etc? Thanks",0,None,2 ,Thu Nov 22 2012 18:18:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3178,/competitions/DarkWorlds,142nd
/ricardofigueroa,Algorithm used Random Forest,"Hello everyone, this titanic dataset is giving me a headache. Quick question to the people in the lead? Is RandomForest working for you? I am not getting satisfactory results with the algorithm, I am getting better results with SVM. I am wondering whether I am doing something wrong with the RandomForest formula or it is just not the right approach to use for this dataset. Thanks in advance. Ricardo",0,None,3 ,Fri Nov 23 2012 15:46:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3180,/competitions/titanic-2012-for-stat-202,43rd
/megashark,Center of Mass or Centroid,"Are we looking for each halo's center of mass or it's centroid? It occurs to me that depending on the symmetry (or lack there of) employed in the model, these may not be at the same point.",0,None,3 ,Fri Nov 23 2012 16:30:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3182,/competitions/DarkWorlds,29th
/ydhiman,Private Leader board Confusion ? ,"Your public standing may be very different to your private standing, and in the end, it is your private score that counts! ????????????? Does that mean, I should not benchmark the top scorer in the Leaderboard. Because Either, I can use the whole training set to make my model and consider kaggle submission (which is public data) as my benchmark to rate my model. (in this case my rank will not change much when scored with private data) or I can split the training set further into train and test data and then keep on improving my model no matter what ever rank or position I get in kaggle public leaderboard. (In this case even if i rank 100 in public leaderboard I can jump to first 10 when scored with private data) So, which way should I go ........... I tried to make my self clear :) , Waiting for your response",0,None,1 Comment,Sat Nov 24 2012 09:08:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3184,/competitions/titanic,None
/cjbayesian,A lensing simulation example,"I've written a short blog post about a (weak) gravitational lensing simulator that I built in order to better understand the multi-halo situation. If you're interested, you can check it out here: [Link]:http://bayesianbiologist.com/2012/11/24/simulating-weak-gravitational-lensing/",6,silver,17 ,Sat Nov 24 2012 23:08:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3185,/competitions/DarkWorlds,48th
/hallayang,Nice Times article,"http://www.nytimes.com/2012/11/24/science/scientists-see-advances-in-deep-learning-a-part-of-artificial-intelligence.html?_r=0 I wonder why the Times characterizes gggg as having decided to enter ""at the last minute,"" when the public leaderboard shows that their team's first submission was on August 26, well before the deadline of October 16.",0,None,2 ,Sun Nov 25 2012 06:29:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3186,/competitions/MerckActivity,6th
/googolp,Approaches used,"Now that this is over, do people want to discuss what approaches worked / what did not work? It looks like some folks used neural networks. Any comparisons on how different methods fared? btw, i wasn't able to participate, just saw this, although I have looked at a similar problem in the past. At that time I used a random forest based approach which worked well. Best, Googol",0,None,6 ,Sun Nov 25 2012 09:52:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3188,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/dataperspective,Dealing with Missing values for Age & Cabin,"Hi Forum, For the missing values in AGE & CABIN columns, I have used the technique of taking the average of all the entries and putting in the missing places, is there any other best alternative to this approach?",9,None,40 ,Sun Nov 25 2012 12:25:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3189,/competitions/titanic,None
/del=7bddba57c1073ab8,Data sets,"Добрый день! В Data по какой-то причине потёрся файл test.csv, пожалуйста перезалейте его. С уважением, Белоусов Сергей",0,None,1 Comment,Sun Nov 25 2012 17:44:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3190,/competitions/nnsu-itseez-machine-learning-competition,2nd
/anbarasan,import numpy np;,"I received the following error while trying to run the genderbasedclass model Traceback (most recent call last): File ""D:\Titanic\genderclassmodel.py"", line 8, in <module> import numpy as np ImportError: No module named numpy The Second lines in the script is import numpy as np; What this line is for? what is Numpy? Please suggest a solution.....",0,None,2 ,Sun Nov 25 2012 19:16:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3191,/competitions/titanic,None
/jaidevd,Visualizing the skies,"Hi, I thought I'd try to visualize the galaxies in Sky1, alongwith the dark matter halo in it's specified location, like the example in the description page, just to see if it looks right. Has anyone done this? Could you share what your visualization? I've attached my picture of Sky1. I'm just trying to make sure that it's not so obviously wrong that I might be totally off the mark. Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/5143/image.png",0,None,2 ,Mon Nov 26 2012 15:16:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3192,/competitions/DarkWorlds,None
/vgoklani,Code for plotting the galaxies in python,"Hi, Would someone mind posting code to generate the galaxy plots in python. My matplotlib skills leave much to be desired. Thanks!",0,None,2 ,Wed Nov 28 2012 01:14:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3197,/competitions/DarkWorlds,None
/coolserdash,"Stuck, any ideas?","Hi all I'm new to kaggle and machine learning and I hit a wall with the Titanic data. I cannot get better than the ""Gender, Price and Class Based Model"" (0.77990). I've tried the following things (everything in R): 1) Generate new variables like ""married"", ""traveled alone"" etc., 2) run different models/methods, SVM, random Forests, boosted trees (gbm), Naive Bayes etc., 3) run different models for males and females, 4) run many different models and average their predictions. The new variables seem not to improve my predictions, nor does any of the other ideas listed above. Could you give me some advice/ideas on how to improve my predictions? Is it okay to just average the predictions of different models/methods? How did you do it? Should I include categorical variables as such or generate dummy variables (e.g., sexmale, sexfemale)? Also, how do I know if model A is superior compared to model B (validation)? Because good performance in the train dataset doesn't necessarily mean good performance in the test dataset, right? Thanks a lot in advance, I appreciate every help. C.",0,None,10 ,Wed Nov 28 2012 11:26:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3199,/competitions/titanic,None
/andrewsunderland,Python: Cannot Convert String to Float,"Did anyone have trouble with Pythonising the second submission? This line in particular is giving me a headache: data[data[0::,8].astype(np.float) >= fare_ceiling, 8] = fare_ceiling-1.0 It gives me this error: ValueError: could not convert string to float: I thought maybe something changed with the test.csv, for example if I do this: value = data[0::,8] print value I can see that the column is full of strings, so I get not converting them to a float. However, if I change the above to: value = data[0::,7] print value The output is all numbers (e.g. ['7.8292' '7' '9.6875' '8.6625' ...]. So I don't see why they would not convert to a float. For what its worth, this is the only way I can get it to work: data[data[0::,0].astype(np.float) >= fare_ceiling, 8] = fare_ceiling-1.0 Thanks.",19,bronze,18 ,Wed Nov 28 2012 23:24:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3201,/competitions/titanic,None
/imam123,Removing effect of one halo,"Hi, Given a two halo sky and if I already know the cordinates of one of the halos. I then want to compute e1_h1 and e2_h1 , the ellipticity components due to halo 1. I use the 1/r model to find e1_h1 and e2_h1 and then I substract from e1 and e2 of corresponding galaxy. I was hoping if I redo signal maximization on this new e1 and e2 I should be able to estimate position of 2nd halo. But it doesn't seem to work at all.",0,None,8 ,Thu Nov 29 2012 05:36:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3204,/competitions/DarkWorlds,142nd
/timsalimans,Randomness of this competition,"First of all: great competition! It's nice to have a contest that is a bit more involved than the standard regression/classification problems. Before I spend too much time on this competition though, I would like to make sure the outcome won't be completely random. 90 test cases for the private test seems like an extremely small number, and this is made worse by the choice of evaluation metric. I have attached a histogram of the scores of my current solution on 10,000 random (stratified) samples of size 90 from the training data. As you can see the scores are all over the map. Perhaps better solutions will have less variability, and perhaps different solutions will have similar errors on each sky (thereby preserving their ranking over different subsets), but still the degree of randomness seems to be way too high. Taking into account the fact that there are 250 competitors than can all select up to 5 submissions, I estimate that the best algorithm will have only a very small chance of actually winning the competition. Or to put it in academic terms: the results of this competition will not be statistically significant. Since the data is simulated anyway, are there any arguments against having a larger evaluation set? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/5213/scores.jpg",1,bronze,43 ,Thu Nov 29 2012 13:01:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3205,/competitions/DarkWorlds,1st
/benhamner,Welcome to GE Flight Quest - Initial Data Release,"Welcome to GE Flight Quest! We are very excited to work with [Link]:http://www.ge.com/ and [Link]:http://www.alaskaair.com/ to launch this challenge on predicting domestic US flight arrival times. For this initial training data released, we have posted 14 days of data provided by [Link]:http://www.flightstats.com/go/Home/home.do in InitialTrainingSet.zip. This can be downloaded from the [Link]:https://www.gequest.com/c/flight/data. The file formats are more extensively documented on the [Link]:https://www.gequest.com/wiki/FlightQuest.Data. Most of the wiki pages are editable, so feel free to add detailed descriptions along with stats and insights to the data pages for the individual files. These files contain information on each individual flight, the minute-by-minute position tracks for the flight, and weather. Please let us know if you have any questions about the data. The competition will kick into full swing on December 18, 2012 with the release of the public leaderboard data set, a two-week test dataset that will be used to form the public leaderboard. Good luck in developing the best models! Ben",0,None,9 ,Thu Nov 29 2012 18:22:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3207,/competitions/flight,None
/mcstar,Missing flight data link,"Can anyone point me to the ""Flight Quest Data wiki"" mentioned on the data download page? It appears the link is missing. Thanks",0,None,4 ,Thu Nov 29 2012 22:32:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3210,/competitions/flight,88th
/stratman,Begginers,"Which competitions is suitable for beginners to data science(ML,data mining,pattern recognition,etc) ?",0,None,1 Comment,Thu Nov 29 2012 22:56:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3211,None,None
/nathannguyen,Can't create Survival Tables,"Hi, I can't create Survival tables in Eclipse using Pydev. I got this error when I ran the python. Any Ideas? Traceback (most recent call last): File ""C:\workspace35\Titantic\src\TitanticTest.py"", line 60, in <module> survival_table[0,i,j] = np.mean(women_only_stats.astype(np.float)) #Women statsNameError: name 'survival_table' is not defined Nathan",0,None,2 ,Fri Nov 30 2012 00:14:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3213,/competitions/titanic,None
/guycavet,Welcome to the Hospital Quest Forum,"Welcome to the Hospital Quest Forum. The forums are a place to find answers and share ideas with other participants. Anyone who’s signed into their GE Quest or Kaggle account can post new topics and reply to existing posts. I, along with other competition admins, will be following the forums and helping to answer questions. You can also “watch” the forums so that you are notified about new posts. The first milestone prize of $5,000 will be given for a submission made by December 21, 2012, so don’t delay in getting started. Good luck in the Quest!",0,None,2 ,Fri Nov 30 2012 00:53:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3214,/competitions/hospital,None
/gamma8094,Scope clarification,I would like some clarification around the scope of the solution. Are we looking at the whole of hospital experience or are we looking at a single aspect of flow eg PACU delays?,0,None,5 ,Fri Nov 30 2012 03:27:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3215,/competitions/hospital,None
/jjjjjj,Why the gap in timeline?,"Regarding: [quote] February 14, 2013 Model Submission Deadline (must include code or hash of code) March 4, 2013 Final Evaluation Set Released Why is there a 2 1/2 week gap between the model submission deadline and release of the final evaluation set? It seems that there is no work required by either Kaggle or the contested between these time points. I'd expect them to be 2 days apart and not > 2 weeks. When I see things I can't exlpain, it makes me think I don't undertand the rules or format. Would appreciate an offical comment on this. Thanks JJJ",0,None,3 ,Fri Nov 30 2012 04:09:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3216,/competitions/flight,None
/jjjjjj,Can we use software released under GNU General Public License?,"From the rules: [quote] For an entry to be eligible to win, any open source or third party code or other materials used in connection with that Entry must be limited to code that GE will be entitled to commercially use and exploit, and any open-source-related or third party licensor requirements and restrictions must be disclosed as part of the model submission. Is it possible to get the offical word on if software released under GNU General Public License ( [Link]:http://www.gnu.org/licenses/gpl.html) can be used to create an entry? Such works could clearly be used commerically, but exploitation is more subjective. Thanks JJJ",0,None,7 ,Fri Nov 30 2012 04:19:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3217,/competitions/flight,None
/wcukierski,10 days left!,"The forums have been quiet and the end is in sight! 12 teams sit above the length benchmark. For those looking to do a little light reading during finals time, you may enjoy some of these papers: http://www.ets.org/erater/publications/ Best of luck as you all push to finish the semester well!",0,None,1 Comment,Fri Nov 30 2012 17:49:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3218,/competitions/columbia-university-introduction-to-data-science-fall-2012,None
/jimthompson,Interpreting date/time values in flighthistory.csv,"I want to confirm my interpretation of the date/time values in the flighthistory.csv dataset. Values are given as ""2012-11-21 17:40:00+00:00"" I believe this is UTC. To determine the locale time for the departure airport or arrival airport, I add the values from the ""departure_airport_timezone_offset"" or ""arrival_airport_timezone_offset"" columns, respectively, to the UTC time. Is this correct?",0,None,9 ,Fri Nov 30 2012 18:54:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3219,/competitions/flight,70th
/jjjjjj,Contradiction in rules (for final model),"Hello I am seeing a contradiction in the rules for what is allowable for final model. At this link: http://www.gequest.com/c/flight/details/submission-instructions it states: [quote]Your model must be structured so that it makes each test day's predictions based on no information in the final evaluation test data other than the information from that day, which will be in an appropriately named folder. So for prediction of Feb 20, it is not allowed to use data from Feb 15 thru Feb 19. However in http://www.gequest.com/c/flight/data and also in https://www.gequest.com/wiki/FlightQuest.Data it states: [quote]For each day in the test period (first for the public leaderboard, and later for the final evaluation), we will select a random time (uniformly chosen between 9am EST and 9pm EST) and select all of the flights in the air at that cutoff time. You will be provided with relevant data for each day that would be available at the chosen cutoff time. Predictions for each flight on a given day can not reference any data related to future dates in the evaluation data set. So for prediction of Feb 20, it is allowed to use data from Feb 15 thru 19, (but not Feb 21 and beyond.) So for the final evaluation set, which is correct? Is prior-dated data allowed to be considered when making a prediction or not? Thanks [edit: spelling]",2,bronze,29 ,Fri Nov 30 2012 20:26:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3220,/competitions/flight,None
/zygmunt,"""referencing any data related to future dates""","http://www.gequest.com/c/flight/data : ""Predictions for each flight on a given day can not reference any data related to future dates in the evaluation data set."" What does it mean?",0,None,1 Comment,Fri Nov 30 2012 22:13:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3221,/competitions/flight,None
/martinthomas,Self-scoring,"I am new to this but hopefully this makes sense.. Using the random forest tutorial, how do I estimate what score I am likely to get for my latest attempt without submitting it? We can only submit twice a day.. My first thought was to use the test set but the train data doesn't overlap with the test data. I know I can split off some of the train data and use that to test then compare the results received with the actual to get an estimate but I would like to know if sklearn has some functionality takes care of this. Thanks, Martin",0,None,2 ,Fri Nov 30 2012 22:25:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3222,/competitions/titanic,None
/guycavet,Incomplete submissions deleted or returned to draft status,"Since we don't want to have lots of incomplete or test submissions on the Submissions page, we will either delete these entries (if they're not serious submissions) or return them to draft status (in which case their owner can continue to work on them and re-publish them later). Keep in mind that you can save draft versions of your submission without publishing them. If you have a saved draft you will automatically be returned to it when you next visit the Create Submission page. If you make a submission and would like it to be deleted, use the Contact Us link at the bottom of the page.",1,None,6 ,Fri Nov 30 2012 22:25:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3223,/competitions/hospital,None
/trezza,As to things that do not exist,"Hi, Can you clarify whether solutions that may incorporate software that may need to be written (partially, or completely) as something that ""does not exist""? Thanks! -Cathy",0,None,5 ,Fri Nov 30 2012 23:53:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3225,/competitions/hospital,None
/mikeofalltrades,"Question on ""Use of Other Data""","The rules state the following: Use of Other Data. Entrants must not use data other than the Data to develop and test their algorithms and Entries. GE reserves the right in its sole discretion to disqualify any Entrant who GE discovers has undertaken or attempted to undertake the use of data other than the Data, or who uses the Data other than as permitted according to the Schedule and associated data use rules specified on the Website, in the course of the Competition. Privately sharing Data or code outside of Teams is not permitted, unless it is made available to all players, such as on the forums. So I'm assuming data like aircraft characteristics would be considered ""other data""? For example, the flight history file has a ""Scheduled Aircraft Type"". I'm would asumme from the rules then that any algorithm that then tries to use this field to look up aircraft limitations (e.g. such as maximum speed, flight envelope) would be strictly prohibited? Considering all the information available this may be down in the weeds but I was wondering if you could clarify ""other data"". The phrase ""entrants must not use data other than .."" seems very broad.",0,None,2 ,Sat Dec 01 2012 00:43:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3226,/competitions/flight,20th
/alkhwarizmi,Data documentation,"Unless I'm missing it, there doesn't seem to be any documentation other than the wiki which just lists the names of fields. I can get that by opening the files. It would be nice to have some description of these fields. For example, what is ""ordinal""? What is ""airway""? The only file in the reference folder is a semi-colon delimited file called weather_stations. It has lots of nice looking data but no column headings and no description of what any of it means. One more question: what is the purpose of the single day training file? Should we use it for validation?",0,None,4 ,Sat Dec 01 2012 03:41:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3227,/competitions/flight,None
/pilotguy,Missing wind data files?,"In the otherweather folder, there should be a file called fbwind.csv (or perhaps flightstats_fbwind.csv). According to the wiki, this is the file that ""has the real [wind] content."" But no such file exists in the training data, onlyflightstats_fbwindairport.csv, flightstats_fbwindaltitude.csv, and flightstats_fbwindreport.csv. Surely this is an error?",1,bronze,1 Comment,Sat Dec 01 2012 05:36:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3228,/competitions/flight,20th
/filipeferminiano,Looking for a Team,"Hi, I'm looking for a team. I have abilities in stats/ machine learning and I program in vba, R and octave (basic)",0,None,1 Comment,Sat Dec 01 2012 18:27:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3230,/competitions/titanic,None
/mahendrakariya,Downloading Data,This is the 4th time that downloading the data files failed. Can anyone suggest some ways to download the data file? I am using Ubuntu. Or can the admin split the datafile into 2 and upload?,0,None,13 ,Sat Dec 01 2012 22:15:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3231,/competitions/flight,None
/melisgl,flighthistory tailnumber vs icao_aircraft_type_actual,"Which aircraft's tail number is in the field tailnumber? The originally scheduled aircraft or the actually flown one? I'm asking because several flights have conflicting icao_aircraft_type_actual for the same tailnumber. One example is tail number N954U can be ""MD82"" or ""MD83"" in InitialTrainingSet/2012_11_12/FlightHistory/flighthistory.csv.",0,None,2 ,Sat Dec 01 2012 22:51:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3232,/competitions/flight,6th
/rabeti,METAR Data,"Is it intentional to have METAR report ID with negative values? metar_reports_id,weather_station_code,date_time_issued,report_modifier,is_wind_direction_variable,wind_direction,wind_speed,wind_gusts,variable_wind_direction,is_visibility_less_than,visibility,temperature,dewpoint,altimeter,remark,original_report,station_type,sea_level_pressure-9607,SAAP,2012-11-20 11:32:00+00:00,,F,0.0,0.0,,,F,3.73,73.0,62.0,29.91,,SAAP 201132Z 00000KT 6000 23/17 Q1013,Unknown,-10591,ZSTX,2012-11-21 05:00:00+00:00,,F,0.0,0.0,,,F,0.87,55.0,51.0,29.91,,ZSTX 210500Z 00000MPS 1400 -RA BR FEW003 SCT005 BKN016 OVC026 13/11 Q1013 NOSIG,Unknown, ... from ""flightstats_metarreports_combined.csv""",0,None,1 Comment,Sun Dec 02 2012 09:49:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3233,/competitions/flight,None
/hungeg,Negative taxi times,"I've found an interresting issue here. There are 941 records (3.5% of the data) in the sample dataset where the actual_gate_arrival is earlier than the actual_runway_arrival. Which means that the plane gets to the gate first and after than lands on the runway. That would be quite a spectacular maneuver from a hundred-tons jetliner however I rather see it as a data quality error. By looking at a specific example flight_history_id=280878607 (JetBlue 493 from BOS to DEN), you will find the following rows in flighthistoryevents.csv: 280878607,2012-11-20 10:14:19.107-08,Time Adjustment,ARA- New=11/20/12 11:06 280878607,2012-11-20 10:13:51.45-08,STATUS-Landed,""AGA- New=11/20/12 11:01, STATUS- Old=A New=L"" which states that landing happened 5 mins after the actual gate arrival. By looking up this flight in the asdiposition.csv file: 2012-11-20 09:54:35-08,JBU493,5900,140,39.9199981689453,-104.680000305176,280878607 2012-11-20 09:54:55-08,JBU493,5700,139,39.9000015258789,-104.680000305176,280878607 2012-11-20 09:55:57-08,JBU493,5400,113,39.8699989318848,-104.680000305176,280878607 2012-11-20 09:56:59-08,JBU493,5400,50,39.8699989318848,-104.680000305176,280878607 that shows that by 10:56 local the plane was already on the ground (Denver airport has an elevation of 5433 ft). So the real landing happened 10 mins earlier than the ""actual"" landing time given in the flight history. The big problem here is that these variables (actual_gate_arrival, actual_runway_arrival) are our target variables and assuming similar data quality errors in the evaluation dataset would mean that we should create negative taxi time predictions. Technically it is attainable but from business point of view it is nonsensical. With other words: our models will not focus 100 percent on predicting gate/runway arrival times but will predict partially the data quality errors. 3.5% of data has obviously erroneous AGA or ARA values (and maybe much more if someone would do a more in-depth analysis), so it could introduce a significant bias into the model! IMHO the comp organizer should consider: a. entirely omitting flights with erroneous arrival values from both the training and evalutaion dataset or b. creating a weight variable which measures the reliability of the target values. This weight could be used when calculating the submission RMSE. By publishing it for the training data we will able to tune our models so that they will focus on reliable records.",3,bronze,2 ,Sun Dec 02 2012 16:36:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3234,/competitions/flight,150th
/justinsterkel,My top 5 submissions?,"If I understand correctly, I can choose which 5 submissions will be considered when the contest is over. If I choose 5 now, can I change them later?",0,None,1 Comment,Sun Dec 02 2012 22:35:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3235,/competitions/titanic,None
/jimthompson,Requested clarification on predicted arrival times,"According to the contest write-up predicted runway arrival and gate arrival times are to be expressed as minutes past midnight. My question is which midnight is applicable if a flight spans more than one day? If a flight is scheduled to arrive on the runway on 2Dec at 23:40 and I predict a five minute delay and it will arrive at 2Dec at 23:45, then I understand my prediction will be 1425 minutes past midnight. However, if predict a 30 minute delay where the above flight will arrive on 3Dec at 00:10, then I assume I'll submit 10. Is this a correct interpretation of the requirement?",0,None,12 ,Mon Dec 03 2012 02:29:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3236,/competitions/flight,70th
/tiagobs,Milestone submissions,"If I submit an idea to compete for the milestone prize, is it ok to send only some data (in milestone 1 I plan to send only the problem and plan to solve it) and them change my submission by adding more data for the other milestones?",0,None,5 ,Tue Dec 04 2012 00:27:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3237,/competitions/hospital,None
/gabrio,Impossible to enter,"Good morning, i'm stuck with apparently a very stupid question but I followed and accepted the rules and guidelines and I downloaded provided datasets but...frankly...I cannot find a way to enter the competition and make a new team for me and my coworkers. There's simply no provided page for it, but there's not a closing-submission date in the rules. I'm wondering if i'm doing something wrong tnx in advance, gabriele - italy",0,None,1 Comment,Tue Dec 04 2012 12:41:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3239,/competitions/flight,None
/melisgl,Weather stations,"weatherstations.csv does not contain all stations occuring in metar/flightstats_metarreports_combined.csv files. Neither does http://weather.rap.ucar.edu/surface/stations.txt. It's great importing various kinds of data only to find out that it's incomplete. Anyone found a complete dataset? A couple of examples: WARNING: Implicitly creating weather station ""SPJE""WARNING: Implicitly creating weather station ""OIGK""WARNING: Implicitly creating weather station ""OICJ""WARNING: Implicitly creating weather station ""OIKO""WARNING: Implicitly creating weather station ""EGNO""WARNING: Implicitly creating weather station ""KQEY""WARNING: Implicitly creating weather station ""KQEL""WARNING: Implicitly creating weather station ""KQER""WARNING: Implicitly creating weather station ""KQEV""WARNING: Implicitly creating weather station ""KQFX""WARNING: Implicitly creating weather station ""KBAN""WARNING: Implicitly creating weather station ""KQCK""WARNING: Implicitly creating weather station ""KQTS""WARNING: Implicitly creating weather station ""KQVP""WARNING: Implicitly creating weather station ""KQCH""WARNING: Implicitly creating weather station ""KQAZ""WARNING: Implicitly creating weather station ""KQPA""WARNING: Implicitly creating weather station ""KT35""WARNING: Implicitly creating weather station ""KK22""WARNING: Implicitly creating weather station ""KIOB""WARNING: Implicitly creating weather station ""KFZG""WARNING: Implicitly creating weather station ""KF44""",0,None,4 ,Tue Dec 04 2012 21:01:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3241,/competitions/flight,6th
/starcus,Editing your submission postpublication?,"*Solved* You can use the link you were provided with when creating your submission to edit it postpublication. *Question:* This is a very exciting challenge indeed, but I was expecting that submissions would be editable after first publication so that more content can be added along the way. Is there such a function? /M",0,None,4 ,Tue Dec 04 2012 22:05:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3243,/competitions/hospital,None
/justtakingaverages,Cross Validation Methods,"Hi guys, When you run a CV test, how to you determine how many folds to run? I usually do two-fold or Leave-one-out (I don't know why, I just do). Is there a systematic way to determine how many folds there should be? Thanks, E. Hemingway",0,None,5 ,Wed Dec 05 2012 07:31:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3244,/competitions/titanic,None
/paarikan,Cannot make submission,"I am trying to enter the competition, but when I navigate to [Link]:https://www.gequest.com/c/flight/submit, I am presented with a 404 page. Has anyone encountered and been able to resolve this issue?",0,None,1 Comment,Wed Dec 05 2012 11:58:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3245,/competitions/flight,None
/sergeifironov,Extracted data,"Can we use extracted from the Training Set data in the model? Coordinates of airports and waypoints, for example?",0,None,2 ,Wed Dec 05 2012 13:25:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3247,/competitions/flight,143rd
/broccoli7,Documentation on Data? What is (and goes) where?,"I have downloaded the datasets but I must admit that after taking a quick look at the dataset, there is very little documentation on the structure of the data (the data quality issues aside). There is a wiki provided at the GE site but that doesn't provide anything different from what I can figure out anyways by looking at the data. It would be great if the organizers (or kaggle) can provide a 2-3 page summary of what goes into the dataset, what keys from what files map to what other keys & files and most importantly, what they mean. Some fields are self explanatory (e.g. scheduled departure) while some others (e.g. ordinal) not so. Not sure if figuring out the data is part of the challenge, but such a documentation describing meta-data would definitely abstract out the modelling element and make it easy for kagglers to jump in.",0,None,4 ,Wed Dec 05 2012 16:55:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3248,/competitions/flight,None
/galileo,"~10 days to go, let's team up!","I don't know about the rest of you, but i'm officially stuck. I've tried solving n-body problems, and also doing careful feature contruction and then ""chucking the whole thing into random forests"", but the results have been terrible. Perhaps I need a new approach, or someone to bounce ideas off... Rather than just quit, does anyone want to team up and hash this thing out together? shoot me an email at mutatedmonkeygenes [at] gmail [.] com",0,None,2 ,Wed Dec 05 2012 18:17:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3249,/competitions/DarkWorlds,310th
/fabioluizesperatipagoti,Weka - Converter - Import CSV with string attribute with commas and quotes,"For those who use Weka in the competitition and those who are having a hard time importing a csv to Weka. I'm getting started with Weka and although arff and csv files are very easy to understand there is a problem when we have an attribute which contains commas or quotes. In the Titanic competition we have a ""name"" attribute (feature) in the original data files. Its format is described wonderfully by @waron on A question with names - http://www.kaggle.com/c/titanic-gettingStarted/forums/t/2885/a-question-with-the-names This attribute contains commas (to split the married name from the person's title (Mr, Mrs, etc) which are used to separate attributes itself and quotes which are used to represent strings and as a consequence you can include commas within it. After suffering a lot, I realized why some instances were invalid to Weka (""Wrong number of values. Read 12, expected 11, read Token[EOF], line xx""), for example: 1,3,""McGowan, Miss. Anna """"Annie"""""",female,15,0,0,330923,8.0292,,Q The quotes on ""Annie"" were dupplicated because they are already between quotes. Then, double quotes means single quotes. However weka does NOT understand this. One solution is to replace """" (double quotes) by \"" in a text editor. Question: is it possible to use the converter in Weka to handle this case after getting the error message instead of handle this issue using a separate tool?",12,None,3 ,Thu Dec 06 2012 22:39:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3253,/competitions/titanic,None
/sshimp,"Scope of ""App""","Someone asked about the intended scope of what the solution addresses (e.g. communications, errors), but I am unclear as to what exactly the solution is supposed to be. I take the term ""app"" to refer primarily (or exclusively) to software for a mobile device. Is this a correct interpretation? If so, is the focus on patients' personal devices? Devices already used by medical professionals? Can the solution involve hardware that the hospital did not have before? Practicality will be a key consideration (e.g. someone coming to the emergency room may not have previously thought to download the ""hospital visit app""), so I want to make sure I understand the intended scope. If ""app"" refers more generally to software, do you have any further guidance?",0,None,3 ,Thu Dec 06 2012 23:28:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3255,/competitions/hospital,None
/hidean,Question on model evaluation,"Hi Kagglers, I am Newbie data mining student. I posted the following question on Titanic competition Forum, but I could not get a reply yet. So I would like to get some advice from anyone in kaggle. Currently, I am using the precision , recall and F-score for the model evaluation. However, due to the randomness in selecting training and cross-validation data, those numbers (precision...etc) seems to vary significantly. So everytime I re-do the training and error-analysis, I get significantly different numbers. I am not able to tell which model is better/worse. I was wondering if I should re-run this many times and get an average from each models and compare one to another or do somthing like bootstrapping the CV samples. Please help. I am not sure what to do. Thank you for your help in advance. Dean",0,None,11 ,Fri Dec 07 2012 05:46:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3259,None,None
/timsalimans,possible data problem?,"Sorry to criticize this competition again (I really do like it a lot), but could the organizers please double check their evaluation data? I just made a new submission lifting me 110 places and leaving me just short of the top 10. The only adjustment to my solution to achieve this: it now assumes that half of the predictions are matched to the wrong sky. That is, it uses the same raw predictions that previously scored >1.1 but it now optimizes them under the assumption that there is a 50% chance that the prediction will be scored to a sky at random, rather than the correct sky. This ""data error"" assumption leads to more cautious predictions, which may be good even if there isn't an actual data error, so also let me mention that this adjustment dramatically worsens my cross-validation score on the training data. Furthermore, the assumption is purely that the skies were mixed up after data generation, which is not the same as assuming that some skies simply have no signal: I also tested the latter assumption but it is not supported by the data at all. The ""data error"" could of course be my own, but if I'm really loading the data incorrectly I'm very surprised to still be able to beat 95% of the people who presumably are loading the data correctly. Another possibility would be that the evaluation data is simply generated from a wildly different distrbution than the training data, however also this possibility is not supported by the data when you look at the test skies. (Also I don't see the point of generating the data that way...) Sorry to waste everybody's time if this turns out to be nothing, but could the organizers please have another look at this? Thanks!",1,bronze,52 ,Fri Dec 07 2012 11:35:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3261,/competitions/DarkWorlds,1st
/melisgl,Missing arrival/departure times,"There are lots of flights in flighthistory.csv files with missing times. Scheduled times missing are one thing, but what to do with actual gate/runway departure/arrivals times? The question is twofold. 1. Is this expected? 2. How should the evaluation deal with it?",0,None,1 Comment,Fri Dec 07 2012 15:39:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3262,/competitions/flight,6th
/mcshaganoff,Checking Essay Spelling,Does anyone know of a good R package for checking spelling errors in a string? I have been trying to set up aspell but it is a complete nightmare.,0,None,3 ,Sat Dec 08 2012 07:12:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3265,/competitions/columbia-university-introduction-to-data-science-fall-2012,16th
/rabeti,Python framework for distributed computing,"I started creating a small distributed computing framework in Python to use some of the extra clock-cycles laying around my house. I decided to open-source it so anyone could use it. The link is below, i'll give a short synopsis of PyCompute below the link. [Link]:https://github.com/hesamrabeti/PyCompute I’ve architected PyCompute to be a light-weight centralized task scheduling system. PyCompute has two components: PyComputeServer and PyComputeClient PyComputeServer This component is used to schedule tasks and provide for a checkpointing/bottleneck condition. PyComputeServer.addTask() is used to schedule tasks to be dispatched to PyComputeClients. PyComputeServer.finish() blocks execution until all tasks scheduled have been completed. PyComputeClient This component is the workhorse of PyCompute. It connects to a PyComputeServer using good old sockets, allowing the use of geographically dispersed computers. PyComputeClient will connect to the server address specified and proceed to request tasks, perform the tasks, and confirm the completion of said tasks. As an example, the way I will be using PyCompute for the flight quest will be to design a Python program which will instantiate a PyComputeServer on one computer. My data will be stored on a separate computer on an SQL server. My other computers and my friends and family’s computers will have PyComputeClient installed on them and they will point to my PyComputeServer. The PyComputeClients will request tasks from the server. For example, a task will be to calculate the average gate delay of a certain airport. PyComputeClients will have read-only access to the SQL server containing the data and will form queries to obtain the information necessary to complete the task. After each task is finished, the client will output their results to a different schema on the SQL server. This can also be used on AWS or any other cloud provider. The use of SQL is not necessary. The only thing set in stone is the fact that tasks are scheduled through PyComputeServer and a True or a False must be returned by the task. After the client has received the task, there are no limitations set on the actual execution of the task. One convenient feature of PyCompute is that the clients stay active even after the PyComputeServer goes down. In addition, PyComputeClients will reset themselves, request new code, and execute the new code each time they connect to the server. This way, one can modify the client’s task code and have the code propagate to clients automatically. Please note this is very much a beta version. I've only been working on this for a day with minimal validation and lots of hacks. So please let me know if you find any bugs or have any feedback. A word of caution: I did not pay much attention to security, so take the neccesary cautions and make sure you understand the implications of using this software.",2,bronze,2 ,Sat Dec 08 2012 10:56:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3266,/competitions/flight,None
/damianmingle,Multiple Submissions & Multiple Wins,"Multiple but clearly distinct submissions per Entrant are allowed. Curios, is it possible to have multiple submissions which could win differently from a single team? For example, Team A - solution 1 (3rd place) Team A - solution 2 (4th place) or is it that a particular team may have a greater possibility of winning a single place by having multiple submissions of distinct solutions?",0,None,3 ,Sat Dec 08 2012 13:28:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3267,/competitions/hospital,None
/olexiy,flighthistory.csv vs flighthistoryevents.csv,"Hello, I've started looking at the data for 2012_11_13 and there are some strange things: Take the very first flight, id=280512544. flighthistory.csv says actual runway arrival is 2012-11-14 01:17:00+00:00 (this is UTC). The very first line in flighthistoryevents.csv says: 280512544,2012-11-13 15:25:37.947-08,STATUS-Wheels Down,""ARA- New=11/13/12 17:17, STATUS- Old=A New=L"" So, this line says flight landed on 17:17 (UTC-08) -- exactly as the data in flighthistory. So far everything would be fine, but: The timestamp for this moment says 15:25:37.947-08 -- which is BEFORE the actual landing happened. The questions is: how should I treat this data? Or, maybe, am I missing something important? Thanks Olexiy",0,None,1 Comment,Sat Dec 08 2012 22:28:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3268,/competitions/flight,68th
/olexiy,days.csv ?,"Hello, [Link]:https://www.gequest.com/wiki/FlightQuest.Data.InitialTrainingSetRev1Differences says ""We have provided sample test data for the period Nov 19 to Nov 25. ... There is a file ""days.csv"" specifying the randomly chosen cutoff time for each day."" Where can I find this file? I've downloaded all data and can't find anything like that Thanks Olexiy",0,None,2 ,Sat Dec 08 2012 22:32:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3269,/competitions/flight,68th
/gauravtembey,Recommended length for submissions?,"Hi, Are there any restrictions (or at least recommendations) on the length of the text or other submission material? The guidelines mention that the video could be max. 3 mins. but do not provide recommendations on other types of submissions. Thanks a lot! Gaurav",0,None,1 Comment,Sun Dec 09 2012 03:30:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3271,/competitions/hospital,None
/rkirana,tangential ellipticity question,tangential ellipticity formula uses ellipticity. is there a way to get the formula without ellipticity in it. i.e. te <- -e1 * cos (2*phi) - e2 * sin (2*phi) anway to get it without having to use e1 or e2 or (sqrt (e1^2 + e2^2)),0,None,5 ,Sun Dec 09 2012 14:21:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3272,/competitions/DarkWorlds,132nd
/melisgl,Gate adjustment?,"From flighhistoryevents.csv: 280196047,2012-11-12 09:56:43.149-08,Gate Adjustment,AEQP- Old=MD88 New=B772 Surely MD88 and B772 are aircraft type, but it shouldn't we have gate data as well?",0,None,1 Comment,Sun Dec 09 2012 18:52:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3274,/competitions/flight,6th
/mcshaganoff,Features We're Using,"Hey Guys, In the interest of collaboration, I thought I'd pass along the features we extracted from the data. Here's a list: Number of words Number of sentences Unique words / words Average sentence length Average word length Spelling errors / words Backslashes / words Exclamation points / words Term-Document Matrices for classification models Also, are you using essay set as a predictor or are you fitting separate models for each essay set? We are using set as a predictor in a single model, but that isn't working too well for us.",0,None,2 ,Sun Dec 09 2012 19:09:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3275,/competitions/columbia-university-introduction-to-data-science-fall-2012,16th
/jasontigg,The old cheating problem,"Looks like we have the old multiple account problem going on here again. Naser Fallahi and Hesam Khalili inat least 4 teams, and a whole bunch of similar subs on Dec 5 from teams who all joined at the same time. This is a real shame for the motivation of those not cheating.",3,bronze,13 ,Sun Dec 09 2012 20:51:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3276,/competitions/DarkWorlds,39th
/science,restriction on number of submissions per day,Why is there is a limit of only 2 submissions per day per team? thanks,1,None,5 ,Sun Dec 09 2012 20:59:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3277,None,None
/windxing,Can I use the problem in my course project?,I am student and now learning machine learning. I am interested in this problem. Does anyone know whether I can use the data and problem in my course project? Thanks!,0,None,2 ,Sun Dec 09 2012 23:28:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3278,/competitions/titanic,None
/user84mph71474,Loading Numpy and Scipy Modules,"Hi, I'm sure new and was trying out the second part, ""Getting Started with Python"". I've never worked with Python, but downloaded version 2.7.3 it and it seems fine. However, when I go to download the Numpy module, it says I need Python 2.7, it doesn't find it in the registry, and the install fails. Any ideas? I run Windows 7. Thanks, 84",0,None,1 Comment,Mon Dec 10 2012 05:54:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3279,/competitions/titanic,None
/benhamner,Video of Plane Takeoffs,Just came across this [Link]:http://motherboard.vice.com/blog/airplane-balet-5-hours-of-takeoffs-in-30-seconds of a day's worth of plane takeoffs shown simultaneously and thought some of you would be interested. Watching the clip of all the planes taking off makes the rows in flighthistory.csv feel a bit more concrete.,6,silver,2 ,Mon Dec 10 2012 07:25:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3280,/competitions/flight,None
/ydhiman,Help in R rattle - instead of coding,I created a svm model using spss. Now i want to see my model performance in random forest by using r rattle. I see my model working good in training set but unable to implement it in test data due to lack of programming knowledge in r. Any way I can use rattle to extract probabilities on test data.,0,None,11 ,Mon Dec 10 2012 13:22:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3282,/competitions/titanic,None
/farstars,"No flight to/from Alaska, Hawaii and islands?","Quick review of training samples tells me that there are no flights involving outside part of the continental US. Is this correct? If so, the statement in the data explanation of ""all domestic flights"" should be corrected; ""The initial and augmented training sets contain all the flight and weather information for domestic US flights during the corresponding days. The public leaderboard set and final evaluation sets have this information for each day up to a predetermined cutoff time."" And, more importantly, do we have to expect this trend should be the same in the test data set? Otherwise, what is the formal definition of 'domestic US flights?'",0,None,1 Comment,Mon Dec 10 2012 18:23:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3283,/competitions/flight,137th
/camdavidsonpilon,Population numbers?,"Correct me if I'm wrong (I haven't gone through each file), but is the student population per school available? If not, this would be a very valuable variable that I would like to see released. EDIT: nvm, it's in the enrl_working.csv files.",0,None,16 ,Mon Dec 10 2012 22:53:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3284,/competitions/visualize-the-state-of-education-in-colorado,None
/hidean,Dummy variable,"Hi, I have a stupid question to ask. I have a chracter/string variable with 3 classes/labels. 1) I am not sure if I should change that to groups 1,2,3 OR three dummy variables. If so, why would you do that? Just as a reference, I am trying to use svmtrain() (with matlab) Thank you :) Dean",1,None,1 Comment,Tue Dec 11 2012 01:20:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3286,/competitions/titanic,None
/chmullig,"Congratulations, Maura!","Well done, everyone! Congratulations to Maura, particularly with closing the gap right at the end. I'd love to hear more about what worked for y'all and what didn't. For those interested, I've shared my entire repo on GitHub: https://github.com/chmullig/datascience-aes Don't judge me too harshly for the quality of the code, [Link]:http://www.youtube.com/watch?v=RUFT35S7Jb4 ;) I used a three step approach using different tools, because I kept thinking I was done and then just had to add another bit. First, using python and nltk I built a lot of features. Some of the more useful ones include: number of characters; number of words; number of sentances; number of distinct words; flags for certain punctuation; the number of quotation marks (helped a lot with essay 3, IIRC). I also count spelling mistakes using PyEnchant. I used NLTK to build a bag of words using parts of speech from nltk (so a bunch of frequencies for, eg, CoordinatingConjunctions). Second I used scikit learn to create a TF-IDF matrix of the actual words used, both unigrams and bigrams. I PCA that down to 50 components (although I think that may be too many). Then I do the actual model fitting in R, because I'm more familiar with it than scikit learn and that's what I started in. I create a few new variables (like distinct words/total words), and then fit a bunch of models. I actually used 3 different models thoughout, but with several commonalities. I found fitting 5 separate models was better than a single model with set as a predictor. I also found that regression was giving me better estimates than classification. I didn't have time to investigate either much, but since many in the ASAP-AES compeittion reported the opposite I wonder why we disagree. So the models I used are OLS, random forest, and GBM. GBM was the best, especially with a bit of tuning to increase the number of trees and the interaction terms (My best was 50000 trees with 10 fold cross validation and an interaction depth of 3). The OLS linear regressions did SHOCKINGLY well. My best had a private score of 0.78020, while my best GBM scored 0.79219 and best random forest scored 0.77926. Good luck with finals, everyone. Thanks for letting me play along, Rachel!",3,bronze,3 ,Tue Dec 11 2012 06:33:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3287,/competitions/columbia-university-introduction-to-data-science-fall-2012,2nd
/nicknewby,Submissions,"Maybe I am missing something, but is there another way to create submissions other than the visualization page. It seems as it would be very difficult to get very creative with that simple editor for submissions. Is there a way to email, or uplaod powerpoint type presentations to better grab the viewer?",0,None,3 ,Tue Dec 11 2012 06:34:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3288,/competitions/visualize-the-state-of-education-in-colorado,None
/danielgriffing,Improving a classifier with unclassified data,"Is there a standard way to use the additional information in test.csv to improve the performance of a random forest classifier? If so, does it count as cheating?",0,None,3 ,Tue Dec 11 2012 08:12:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3289,/competitions/titanic,None
/swihart,Rules page vs. Submission page:  5 entries or 1 entry,"Do we get to designate 5 entries or 1 for the final grand prize? From: http://www.heritagehealthprize.com/c/hhp/Details/Rules 10. GRAND PRIZE ENTRIES Each Entrant may (but is not required to) designate up to five of his/her/its Entries for consideration for the Grand Prize (each, a ""Grand Prize Entry"") by following the designation instructions on the Website. All Grand Prize Entry designations must be made by 06:59:59 UTC on April 4, 2013 (""Grand Prize Deadline""). A Team's designation of a Grand Prize Entry must be made by the Team leader. Designation of a Grand Prize Entry may be changed at any time prior to the Grand Prize Deadline. If an Entrant does not designate five Grand Prize Entries by the Grand Prize Deadline, his/her/its five Entries with the lowest prediction score on the Leaderboard will be automatically designated for judging. From: http://www.heritagehealthprize.com/c/hhp/submissions Note: Your team leader can select up to 1 submission that will be used to calculate your team's final leaderboard score. If your team leader does not select them, up to 1 entry will be chosen for your team based on your team's most recent submissions. Your team's final score will not be based on the same exact subset data as the public leaderboard, but rather a different private data subset of your team's full submission. Your team's public score is only a rough indication of what your team's final score might be. Your team leader should choose an entry that will most likely be best overall, and not necessarily just on the public subset.",0,None,6 ,Tue Dec 11 2012 14:39:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3292,/competitions/hhp,14th
/ajschumacher,Ideas for dealing with severely binned results?,"It seems like an awful lot of the data we have available is rather unfortunately camouflaged by the grading scheme. Let me see if I understand the process: For everything that later appears as a grade, first an under-specified method generates a score. We don't know the distribution of this score; maybe it is roughly bell-shaped? Maybe it isn't? Next, that score is transformed to a percentile. (The issue of not knowing which percentile method is used can certainly be neglected, I think.) Finally, these percentiles are reported as letter grades that correspond to up to 30 points on the percentile scale, and that largest division isn't even centered on the middle of the distribution! Have I got this right? I'm thinking of making an unjustified assumption that the underlying scores were normal so that I can transform the letter grades to a rough guess at a z-score, but I'm not happy with the assumption and I'm not happy with the huge and varying uncertainty that I still have to face. The underlying scores aren't available? Am I missing something? Do other folks have thoughts on how to approach this? For clarity let me say explicitly: just using the numeric grade equivalents in the data files is almost certainly a Bad Idea. I'm interested in an approach to getting something better.",0,None,16 ,Tue Dec 11 2012 17:48:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3294,/competitions/visualize-the-state-of-education-in-colorado,None
/laurencelocklee,Calculating time period from time series formula,"I have made the following time series formulation: Yt = (1-K/X)Yt-1 + PK where K <= X and 0 <= P <= 1 I'm looking to turn this into a formula to calculate the time period t by only inputting Yt as a variable and K, X and P as constants. I can generate a table and plot of Y vs t and read from a spreadsheet table but I'm looking for a single formula that I can directly caculate t. Is this blindingly simple?....my maths skills are very rusty!",0,None,2 ,Tue Dec 11 2012 23:18:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3298,None,None
/brucelowery,submission format,"doubtless, this question will irritate some. the submission page says "" # of Predictions We expect the solution file to have 120 predictions. Header rows are optional. Please see the sample submission file on the [Link]:https://www.kaggle.com/c/DarkWorlds/data for an example of a valid submission.:"" i didn;'t see a sample submission file on the data page, at least not something that was written in crayon. what is the format for a submission?",0,None,1 Comment,Wed Dec 12 2012 02:25:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3301,/competitions/DarkWorlds,347th
/benhamner,Training Set Revision 1 Release + Sample Test Set,"I just uploaded InitialTrainingSet_rev1, which accounts for [Link]:https://www.gequest.com/wiki/FlightQuest.Data.InitialTrainingSetRev1Differences that have been pointed out so far. Most significantly, the times in flighthistory.csv should now be correct. The initial data format we received had identified the times in this file as being Pacific time in each timestamp, even though they were local to the departure and arrival airports. Correcting this impacted many other files as well, since other files were split into days based on the departure time in flighthistory.csv. The updated data may be downloaded from the [Link]:https://www.gequest.com/c/flight/data. Additionally, we have released SampleTestSet, a sample of the test set format generated with random cutoff times from the last week of the training set, and SampleSolution, which shows the solution file for SampleTestSet. (The submission file will be in the same format). The runway arrival and gate arrival times you predict will be measured in minutes from midnight UTC on the day associated with the flight. We have released [Link]:https://github.com/benhamner/GEFlightQuest as well. You can use this code to create days in the test format at specific cutoff times from any day in the training set. Thanks for your input and participation so far, and please let us know if you see any other potential data leakage or data quality issues. Good luck on the contest!",0,None,20 ,Wed Dec 12 2012 03:10:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3302,/competitions/flight,None
/vanderakt,Score is pending,"Hi there, Something went wrong with my submission today. It is still pending, and I cannot make a new submission. Can anyone help me? KR",0,None,19 ,Wed Dec 12 2012 08:09:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3303,/competitions/hhp,73rd
/nonedone,Pending Score,"I was stuck on the submission script and now it doesn't show my score. It shows ""pending"" next to my submission.",0,None,9 ,Wed Dec 12 2012 10:42:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3304,/competitions/DarkWorlds,88th
/srowen,Discounting submissions that are just the benchmark?,"Many competitions provide benchmark scores on the leaderboard, and even provide the exact submission that yields the score. Sometimes the benchmark is quite good. In every such contest I see plenty of users just submitting the benchmark. I assume it is to just achieve a reasonable rank in the contest and boost overall Kaggle ranking, for whatever it may be worth. But, it clutters the contest leaderborad and distorts the overall Kaggle score. While little more than an annoyance, it'd be nice to just ignore submissions that exactly match the benchmark. Of course, one could modify the benchmark a little by hand, so this merely discourages this behavior a little. All else equal, this is likely to slightly hurt the score I suppose.",1,bronze,6 ,Wed Dec 12 2012 11:22:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3305,None,None
/zygmunt,Where is data science in this?,I think of Kaggle as a site for machine learning competitions - a site for data science sport. That's why I was a little dumbfounded with this particular quest. Where's data? Where's machine learning? I understand that the partnership with GE is a big deal for Kaggle. But I don't like the dilution.,0,None,1 Comment,Wed Dec 12 2012 13:49:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3306,/competitions/hospital,None
/imam123,Problem with submission,"Hi, My submission is taking too long to score and keeps going on and on saying ""Calculating"". Your entry is taking awhile to score. Try waiting a few minutes and then refresh this page. Do not submit the same entry again or it will be counted twice. I have refreshed several times,still I could not get a score, Please check. Thanks",0,None,2 ,Wed Dec 12 2012 15:25:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3307,/competitions/titanic,None
/science,Installing scikit-learn on Mac for RandomForestClassifier,"I tried to install the scikit library on MacOS Lion 10.7. I tried 2 methods 1) using Macports as indicated on the scikit-learn page 2) using the script at [Link]:https://github.com/fonnesbeck/ScipySuperpack/downloads. In both methods, the installation completed without problems. But when I imported sklearn in python (2.7), it says it cannot find sklearn. I also have the Enthought IDE (free version) and tried using that, but it could not find the scikit library as well. If someone has had success with installing scikit on MacOS and completed the RandomForest tutorial, please provide some suggestions and what is the exact import statement you used (is it import sklearn or import scikit or some thing else)? Thanks",0,None,6 ,Wed Dec 12 2012 16:12:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3308,/competitions/titanic,None
/andyh47,GEF submissions pending?,"Although the Global Energy Forecast competition is now closed, I have been making submissions to it to measure my progress. This has worked great until yesterday. New submissions are being accepted but calculation never stops. Status is shown as ""Pending"". Any ideas what happened? Anyone?",0,None,1 Comment,Wed Dec 12 2012 16:28:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3309,None,None
/user70609,Не загружаются данные,"Сегодня,12 декабря, около 14 часов сделала сабмит, до сих пор висит ""Calculating"". Затем сегодня около 20:00 сделали ещё одну попытку (с другими данными) - результат тот же. Просьба разобраться в сложившейся ситуации.",0,None,3 ,Wed Dec 12 2012 17:14:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3310,/competitions/nnsu-itseez-machine-learning-competition,1st
/rkirana,e1 & e2 caused by halos in multiple halo skies,"We know that te = -e1 * cos (2*phi1) - e2 * sin (2*phi1) 0 = -e1 * sin (2*phi1) + e2 * cos (2*phi1) In training data for 2 halo skies, we can find out phi1 - it is just the angle given by atan ((y-y_halo)/(x-x_halo)) but we don't know the te caused by halo1 and the te caused by halo2. is there a way to find the te1 and te2 exactly for 2-halo skies ?",0,None,2 ,Wed Dec 12 2012 18:45:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3311,/competitions/DarkWorlds,132nd
/astrodave,"Demographics of Participants, comments and questions","Dear All, It is not long until the Observing Dark Worlds competition is over and the results are anounced. Im sure you are all as excited as I am to hear about the techniques and ideas used in this competition. In a bid to understand the demographics of those who have taken part, how well each demographic did and also (I know some of you will like this) comments on the competition (good and bad) , I ask if you could take two seconds to take part in this quick survey. This is completely voluntary and you do not in any way have to do this, you can also answer as many as you want (if you dont want to give your team name that is fine) I am just interested for future competitions and post competition analysis. http://www.surveymonkey.com/s/R9VWWC5 Thanks and good luck in the last few days of the competition. AD",0,None,1 Comment,Wed Dec 12 2012 22:46:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3315,/competitions/DarkWorlds,126th
/toulouse,Actual values for departure,"Hi, In the Initial Training Set, the flighthistory.csv file has the following fields: actual_gate_departure, actual_gate_arrival, actual_runway_departure and actual_runway_arrival I guess that in the Public Leaderboard Set, the fields actual_gate_arrival and actual_runway_arrival will of course not be available but it is not as clear concerning actual_gate_departure and actual_runway_departure ... Could you please clarify?",0,None,4 ,Thu Dec 13 2012 04:30:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3317,/competitions/flight,126th
/knownothing,x_ref and y_ref,"In the training halos we get values for x_ref and y_ref, which are used for calculating the positional error. Am I correct to assume that this ""reference point"" is the center of mass of the two (or three) halos? If so, then we basically have the relative masses of the halos, which can be useful in training our models?",0,None,5 ,Thu Dec 13 2012 13:33:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3320,/competitions/DarkWorlds,98th
/rachelbobbins,Blog about competition experience,"Hey fellow competitors! My teammate and I wrote a blog about our experience in this competition, which we thought other people might enjoy reading as the competition wraps up. http://ml.rbobbs.com/",3,bronze,6 ,Thu Dec 13 2012 17:18:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3322,/competitions/DarkWorlds,96th
/momiller71,myfirstforest.py Handling train_data as np.string_,"Just getting started. Downloaded myfirstforest.py and wanted to get a sense of how it performed. I'm trying to use the cross_val_score() method. I added the following line after creating the 'forest' variable: 'scores = cross_val_score(forest, X=train_data[0::,1::], y=train_data[0::,0], verbose=1)' (Oh, you must add 'from sklearn.cross_validation import cross_val_score' to the top of your code) The result was [ 0., 0., 0. ] (the default cv=3 so run on three folds). This seemed odd to me as the rest of the program ran fine and predictions were created. The final file (when submitted) was slightly below the value in the leaderboard for the 'myfirstforest' reference (0.76 versus 0.77). But the score coming back 0. was weird. Adding the 'score(...)' to the end of fit(...) (which forces the model to output it's accuracy) also returned zero. Then I noticed that my np.array for 'train_data' had all values as type 'np.string_'. That seemed odd as the code assigns ints or converts to np.float and I thought you needed to covert everything to numbers to use RandomForestClassifier. If I manually convert all train_data inputs (column 1 on) to np.float and convert train_data target (column 0) to np.int64, then the score comes back non-zero (0.922) and the cross_val_score() returns low 0.80s. Any thoughts on this? Does the RandomForestClassifier cast everything to float for you? Is it appropriate to do the casting the way I did?",0,None,2 ,Thu Dec 13 2012 17:45:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3323,/competitions/titanic,None
/chrisnunes,Innovation Prize - or Purchase of Idea?,"Hi there- Are the awards here an ""innovation prize"" where we retain ownership over our idea and we're free to commercialize the idea if we want, perhaps using the award to help us fund the development? Or does this competition essentially grant ownership over our submissions to GE, for GE to use regardless of award status, and the award is our final and only compensation? Thanks!",0,None,1 Comment,Thu Dec 13 2012 21:25:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3324,/competitions/hospital,None
/edramsden,This looks like it might be a lot of fun..,..and a way to get Santa's toys out faster next year! ;),0,None,10 ,Fri Dec 14 2012 03:27:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3326,/competitions/traveling-santa-problem,178th
/lonelyatthetop,End of file problem,"When I try to read the training data into my c++ program, I'm running into a problem at the end of file. For the InitialTrainingSet 2012_11_12 flighthistory.csv, the actual data (including '\n' and spaces) is exactly 7784526 characters long. However, if I keep reading until I hit an end of file character (== '\0'), I end up reading 7809940 characters, where the extra characters are gibberish. My text editor, too, insists that the file is 7809940 characters large, but a direct character count yields only 7784526 characters. Anyone know what's going on?",0,None,6 ,Fri Dec 14 2012 13:23:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3327,/competitions/flight,45th
/datadreamboat,flighthistory.csv question,"On this page (http://www.gequest.com/wiki/FlightQuest.Data.FlightHistory.FlightHistoryCsv) it says that flight_number is: ""A carrier-specific number identifying the flight (unique when combined with date and carrier)."" But for example I see 9 rows for flight_number 792 and airline_code 'LBQ'. (I'm looking at the SingleTrainingDay_2012_11_20.zip file.) So it doesn't seem unique to me. Would I better interpret flighthistory as each record being a ""leg"" of a full flight?",0,None,3 ,Fri Dec 14 2012 14:47:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3328,/competitions/flight,None
/leet45577,Unable to download data file for GE Flight,"Hi, I am unable to download data files for GE Flights (I keep getting the login prompt); and I am unable to participate in the GE Flight forum too (no ""new topic"" button available), so I cannot raise a query there instead. Can someone please help? Many thanks.",0,None,2 ,Fri Dec 14 2012 16:40:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3329,None,None
/jimthompson,Formatting error in weather_stations.csv,"While parsing the weather_stations.csv file, I noticed small formatting error. This is ""semi-colon"" delimited file. One of the rows is missing a semi-colon. The symptom for me is my input routine kept terminating with an errror. The row in question is 4,085 with the ICAO station code of ""KSTZ"". It is a minor nit but it did take a few minutes to determining whether the problem was due to my code or the data. I manually fixed the file by inserting a semi-colon in front of the string ""United States"" on that row.",0,None,1 Comment,Fri Dec 14 2012 18:27:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3331,/competitions/flight,70th
/predragbradaric,Entries submission,"In the Flight Quest timeline (https://www.gequest.com/c/flight/details/timeline) December 18 is marked as ""Public Leaderboard Set Released; Leaderboard Activated"". Do we have to submit our ""draft"" models on that day or can we submit them in the period between December 18th - January 9th? Thanks.",0,None,2 ,Fri Dec 14 2012 19:09:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3333,/competitions/flight,None
/daia26392,Random Forest,¿Does anybody know a good open source java library implementing random forest functionality? Thanks!,0,None,6 ,Fri Dec 14 2012 19:42:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3334,None,None
/kdlneal,Maybe I missed the point ...,"I don't really know what decisions are to be informed or the information which would be useful for those decisions. Using the available data may show that taxi times in Utah correlate strongly to the number of butterflies in Brazil, but? A pilot faced with a long wait for takeoff can't decide to use a different airport. What 'business information' can the pilot use?",0,None,1 Comment,Fri Dec 14 2012 20:55:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3335,/competitions/flight,None
/wcukierski,Welcome!,"If you want something done, you have to do it yourself ask others to do it? We hope the visualization experts out there will enjoy this one. We are firm believers in [Link]:http://en.wikipedia.org/wiki/Eating_your_own_dog_food: Dogfooding is a slang term used to reference a scenario in which a company uses its own product to demonstrate the quality and capabilities of the product. This is hopefully the first of several competitions in which you have a chance to influence products that end up on the site. While many Kaggle contests are decided by the brutal scythe of numerical accuracy, this one is a chance to show off your softer side. [Link]:http://columbiadatascience.com/2012/12/08/the-stars-of-data-science/, particularly the ability to tell a story through visualization.",2,bronze,2 ,Sat Dec 15 2012 00:15:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3336,/competitions/leapfrogging-leaderboards,None
/science,RandomForestClassifier output ,"Hi, Each time I run my randomforest code, I get a different output for the same test data. I observed this by comparing my results with the sample result file provided in the tutorial. Is anyone else seeing this behavior? Accoring to the tutorial, the decision tree is created using a random subset of the data. Do we need to initialize any seed to ensure repeatable results? Thanks.",0,None,1 Comment,Sat Dec 15 2012 02:44:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3337,/competitions/titanic,None
/dchudz,Welcome (and scoring metric issue),"Hi everyone, Welcome to this competition. I think it'll be fun! It looks like the scoring metric is having a problem. Some errors that should be caught aren't, so it's possible for invalid submissions to be scored. We'll fix it as soon as possible. I'm going to leave the leaderboard live for now, even though it'll be inaccurate. Everyone's submissions will be rescored once the leaderboard works right. Note that this competition is a bit different from usual. There's no prediction element, just optimization. Also note the randomly timed milestone prize, provided as an incentive to submit to the public leaderboard. You have more than a week before the first possible selected day, in order to give every a chance to work on the problem for awhile first. Once that period does start (the first possible prize selection time is midnight UTC on Dec 23), note that the selected time will be midnight UTC on whatever day. So getting your 1st place submission in at 11pm UTC instead of 11:30pm doesn't help your chances of winning, but getting it in before midnight does. Thanks, David",0,None,5 ,Sat Dec 15 2012 04:41:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3338,/competitions/traveling-santa-problem,None
/photosynth,Seasonal mood,"I thought I'd post a couple of drawings of Santa, just to get into the mood of the season...",3,bronze,7 ,Sat Dec 15 2012 06:56:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3339,/competitions/traveling-santa-problem,5th
/danielhutty,Submission Format,"Hi all, first Kaggle competition so please do bear with me if the answer to this question is really obvious, but - what format should the submission be in? The page says .CSV but no more. I've been assuming this means a comma-separated list of points for each tour, one tour per line. So we'd have a .CSV with X columns and 2 rows, where X is the number of datapoints. Does this sound reasonable?",0,None,6 ,Sat Dec 15 2012 11:13:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3340,/competitions/traveling-santa-problem,139th
/mickaelleclercq,The plot is santa!,"That's nice, once plotted the dataset represent Santa Claus :)",0,None,6 ,Sat Dec 15 2012 17:48:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3342,/competitions/traveling-santa-problem,271st
/kamalabhabhattacharjee,Clarification,"Please provide info on the starting point of Santa and throw some light on the meaning of the .csv file ""random_paths_benchmark.csv""",0,None,10 ,Sat Dec 15 2012 17:52:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3343,/competitions/traveling-santa-problem,None
/firsttimer,Information,"Hello, I have two queries regarding this competition. 1. Can I make evrything in MS-Excel ? 2. Team ID's are unique or they change from competition to competition ? To be more specific, whether for each competition you guyz generate a random team ID for team members or the team ID remain same (unique) throughout all the competitions ? Thanks and Regards, Hunny",0,None,3 ,Sat Dec 15 2012 20:46:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3345,/competitions/leapfrogging-leaderboards,None
/andreas,Starting tips,The easiest way to score below a billion is to sort by x on path 1 and by y on path 2. Then of course you need to remove any duplicate edges.,0,None,9 ,Sat Dec 15 2012 22:17:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3346,/competitions/traveling-santa-problem,308th
/cmiller01,using other data,Can we use data from other public sources? I'm thinking specifically about using Census information to determine community characteristics or to measure accessibility to good schools (e.g how many students live within 5 mi of an B or better school)...would this be okay so long as the data is cited and available to the public?,0,None,1 Comment,Sun Dec 16 2012 00:23:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3348,/competitions/visualize-the-state-of-education-in-colorado,None
/hidean,Books for data mining,"Hi Kagglers, I am Dean from Sydney, Australia. I finished Andrew NG's machine learning course on courseEra few weeks ago. I was so inspired by his course, I decided to become a data miner. I quitted my clerky job as well :) I tried to read the book called ""Elements of Statistical Learning"", but I found that the book is slightly difficult for me. Could anyone suggest some practical books for data mining ? Thanks in advance, Dean Kim",3,None,18 ,Sun Dec 16 2012 04:08:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3349,None,None
/jostheim,Last submission,"Well my last submission is in so I thought I'd write my post mortem... I ran MCMC with a variety of e_tan(r) models (gaussian, exponential, e^(-1r^n), 1/r^n) without a ton of luck in the 3 halo situations. My best score was actually a combination of a subtraction model that used MCMC to search and fit one halo at a time (simply b/c I had the MCMC code written) and then subtracted the results and a straight up MCMC model fitting the halos. That got me down to 0.8 with the training data (and 1.04 with the test data, the disparity, in my opinion, is indicative of the poorness of the amount of data and metrics used to score this competition, at least for the leaderboard). I believe an MCMC technique that fits all halos at once will be best but had trouble locating the global maximum (the maximum likelihoods seemed much better than the expectation values of my parameters over the MCMC samples for my runs) in what amounts to a very flat likelihood space. I played with a variety of priors to try and weight the fit. I noted the count distribution of e_tan was Gaussian peaked at ~ 0 with a 0.22 stddev and attempted to use the degree to which that distribution fit the halo center I was looking at as another piece of evidence. This really just amounted to the ""signal"" model that is in the sample code, though it is a more probabilistic version of it. Sometimes I had my 3 halo solutions piling up on the same halo so I tried to use a prior to state that the likelihood of that was very low, though I think the real problem in those cases was my e_tan(r) model. Finally I also played with the boundary problems by attempting to integrate my models over the pixel space (0 - 4200, x and y) to determine how ""much"" of the model was falling off the boundary and using that as a normalization factor (or a prior). My calculus is rusty and the double integrals are tough (though check out simpy: [Link]:http://sympy.org/en/index.html, it is pretty awesome) on some of these models so the the integral was done by sampling and slowed my search down a lot, I didn't see a huge improvement so I dropped this b/c it slowed down the MCMC so much. The really funny thing to me is that I am a former astronomer, and as a part of my thesis I pretty much solved this exact problem using this same solution. I had to fit postional data to a density function to see if dwarf spheroidal galaxies were being disrupted by the Milky Way and used MCMC and 10 machines to fit the model. We actually had to fit a King profile and a power law (King is for a non-disrupting galaxy, power law describes the tidal tail), so I even had fit multiple additive models before. Very glad I wrote this in Python (thank you numpy and scipy) and not Fortran 90 like in grad school. I have no idea how the final results of this competition will play out, it seems like there is a huge discrepenacy between the training data and the leaderboard evaluation data. Still the folks at the top of the leaderboard have signficantly better scores, I have no idea if that could be overfitting the leaderboard or just better models, we shall soon find out...",6,silver,8 ,Sun Dec 16 2012 07:47:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3350,/competitions/DarkWorlds,8th
/lonelyatthetop,Sample Test Set issue,"Will the actual test sets be presented in the same manner as the sample test sets? If so, we will not be able to check the last criterion (actual gate arrival > actual runway arrival). When trying to reproduce the 2012_11_19 sample solution set, I found that I was predicting values for slightly more flights than were in the solution. Checking the full data, I found that your solution omitted the points which fail the criterion above. It would be much simpler if the test set flighthistory only includes those flights you wish us to predict ...",0,None,1 Comment,Sun Dec 16 2012 10:31:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3352,/competitions/flight,45th
/knownothing,Weighted correlation vs lenstool,"Just did my last submissions, which seem to lift me inside top 25 on current leaderboard. So here are some things I want to pass on to others who may want to further improve dark matter halo estimations. *** This was my first competition and I only entered rather late. I also haven't done any complex math in ages and still using VB6 to program my models. So I was quite suprised to find that a simple weighted correlation was enough to improve on the lenstool. Here is what I did. I spent quite a bit of time on visualizing the skies. I tried weighted correlation to get my feet wet and found it working surpisingly well. Just running a standard routine going through all points (binning at 20 pixel), and calculating the correlation between expected Et at each of the galaxies (based on standard M/r formula) and the actual Et. The weighting factor used was r/M. This may look counter-intuitive, as the correlation is expected to be higher more close to the halo, but really gave the best results and nicely smooth visual skies where you can see the dark matter in white. The advantage of weighing the distant galaxies more is that it reduces overly large effects from strong correlations found very near to the halo. The result is a more accurate estimate. Attached examples: training sky 36 and 97 (Green dot= real halo, blue dot is weighted correlation estimate). These where two skies where lenstool is more than 500 pixel away from real halo, while the correlation methods finds them much more accurately. On the training set using weighted correlation gave an average distance error of 155 pixel (vs lenstool 205) on the single halo skies (1 - 100), average distance error of 87 (vs lenstool 146) for skies 101-200 and av. error 106 (vs lenstool 217) on skies 201-300. (I didn't bother myself with the angular errors.) I then had relatively little time left to make code for the 2 halo and 3 halo skies (only got my 3 halo estimations working yesterday). Part of the problem is estimating the relative weights of the halos. I did so on the simple basis of subtracting the expected Et and find the M for which Et then comes closest to zero. Then find 2nd (and 3rd) halos by using a routine that tries random halo positions with random weights until a maximum weighted correlation is found between estimated combined Et (from both halos) and real Et at all the galaxies. This worked well for some 2 and 3 halo skies, but also produced rather big misses on other skies. I haven't been able to figure out why. Wish I had an extra week for it. Anyway. Maybe this rather simple method has further room for improvement, so that's why I am sharing. I really wondered what the 42000 lines of lenstool code are good for, when such a simple formula can beat it. Be well. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/5385/sky36.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/5386/sky97.png",4,bronze,1 Comment,Sun Dec 16 2012 11:02:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3353,/competitions/DarkWorlds,98th
/matthewgalati,prize rules,"Hi - first time on Kaggle. Question on prize rules. It says the source must be shared under an approved open source license. Let's say some function in my code calls func X( ) which calls out to some non-open source method. Is that still elgibile, as long as I share how I called func X( ) and what it is calling (even if that thing is a commercial product of some sort)? I am thinking of a pre-processing step to some SAS code, for example. The SAS function, obviously, is not open source. Thanks! Matt",0,None,3 ,Sun Dec 16 2012 15:18:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3354,/competitions/traveling-santa-problem,32nd
/predact,Very Basic R Program,"I'm trying to learn R and applying it to the Titanic case study. Could someone please post simple code to create a simple predictive regression model? Looking for 1) reading in the train data, 2) create a model (i.e. gender and age), then 3) making predictions on the test dataset. Comments within the code would be greatly appreciated. Thanks a ton... If there is something out there already, please point me to it, but I only found some random forests code which was confusing.",0,None,5 ,Sun Dec 16 2012 19:30:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3356,/competitions/titanic,None
/robj49703,Milestone Prizes,"If your concept fails to be awarded a milestone prize, does it make sense to continue refining it in pursuit of a grand prize? How does one know if their efforts are futile?",0,None,1 Comment,Sun Dec 16 2012 23:44:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3358,/competitions/hospital,None
/anaconda,UTC midnight,Is there any particular reason for the UTC midnight rather than simply randomly chosen moment between Dec 23 and Jan 17? I just see a slight disadvantage for folks who happen to have say 4am at that moment. Just raising up the topic (I have late afternoon at UTC midnight so I am ok).,0,None,15 ,Mon Dec 17 2012 00:21:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3360,/competitions/traveling-santa-problem,45th
/jimthompson,"Interpreting column ""received"" in asdiposition.csv ","Are the datetime valus in the ""received"" column in asdiposition.csv based on UTC?",0,None,2 ,Mon Dec 17 2012 00:36:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3361,/competitions/flight,70th
/garlic0,congrats to the winners,"i think the private leaderboard results have come out: [Link]:http://www.kaggle.com/c/DarkWorlds/leaderboard#0.67100 [Link]:http://www.kaggle.com/c/DarkWorlds/leaderboard#0.69562 [Link]:http://www.kaggle.com/c/DarkWorlds/leaderboard#0.71786 congrats to the winners, thanks to winton and astro * for organizing the competition. --edit-- apologize, i captured the list a few minutes after the deadline; it is possibly inaccurate.",0,None,4 ,Mon Dec 17 2012 01:38:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3362,/competitions/DarkWorlds,93rd
/nojo49228,even length?,I gather from the error that I'm getting when I try to upload a submission where the paths aren't the same number of chimneys that it's required that they each have 75000 chimneys?,0,None,1 Comment,Mon Dec 17 2012 04:12:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3365,/competitions/traveling-santa-problem,None
/efimov,Solutions,"Hi, guys, Congratulations to the winners! This competition was very fun. I suggest to describe our algorithms in this thread. My algorithm is the following. 1. I have created the train grid with number of bins 3600 for each sky from the training set. For each center of the bin I have calculated the set of features as weighted sum of tangential ellipticites, average of tangential ellipticities, standard deviation of tangential ellipticites, the same for cross component of ellipticities. 2. I have defined the target variable according to the distance to the halos. If the distance from the center of the bin to one of the halo is less than 500, then target variable equals to 1, otherwise 0. 3. I have trained simple gbm with 2000 trees for this training table. For prediction I have created another grid with 28224 bins for each sky. As a result I have predicted map of probabilities for every test sky. When I look at the visualization of these maps, I found out that in many cases this method gives high probability for the regions of halos. Of course, it gives very high accuracy for the first halo, but for the second and the third halos in many cases it highlight the regions on the skies. 4. To find these regions automatically I ran the search by small squares over map and choose the square with the maximal average probability inside the square (the center of this square is the center of predicted halo). After I found the first halo, I have removed 500-radius neighbourhood around this predicted halo and repeat the same search for the 2nd and 3rd halos. As a result this method gave me average distance 740 and metric 0.82 over the trainins skies. The disadvantage of my algorithm is that it is very difficult to control the angle in the metric. My best result of private leaderboard is 0.77, but unfortunately I have not chosen it as one of the last final submissions. I suppose that the huge part of my result is the angle part of metric. The interesting thing is that my best submission was created by manual prediction. It means that my small square search over maps is not perfect and it is possible to improve it by applying more sophisticated algorithms to the probabilities maps. I am interested if anybody used the similar approach?",2,bronze,33 ,Mon Dec 17 2012 09:41:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3367,/competitions/DarkWorlds,109th
/rabeti,Problems and Potential Problems with the Data,"Instead of creating a new thread for each issue I suspect with the data, I'm going to keep all the posts under one thread. Please keep in mind that I'm going to post some of the issues which may not be actual bugs but patterns that might signal underlying issues.",0,None,6 ,Mon Dec 17 2012 10:07:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3368,/competitions/flight,None
/shenss,Revisiting Nodes,"Hi David and the others, the task description does not specify a limit on path edges, and I think there would be potential in visiting some nodes more than once. However, my test submission, with some cycling between the two last nodes appended to the first path, produced a warning about the file being truncated to 150,000 lines, and resulted in my former score. Would it be possible to allow routes of variable edge count and only check for 150,000 unique nodes? Thanks, Stefan",0,None,3 ,Mon Dec 17 2012 16:00:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3373,/competitions/traveling-santa-problem,53rd
/wenanglanisy,How to add video/images/files to submissions,"If I'm not mistaken, on editing mode, there were links -placed above the submission title- to embed video/images/files. But today I found those links has gone. Is it temporary? or should I just type the URL address on the written section of my submission(s)?",0,None,2 ,Mon Dec 17 2012 16:40:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3374,/competitions/hospital,None
/iain2476,More stable evaluation,"That was a fun few days. Thanks all. My final test scores were more stable than I expected. If the ""congrats to the winners"" thread is to be believed, my final place (possibly 2nd) would have been the same if I had stuck with my very first submission on Thursday (a couple of days after downloading the data), and in fact for 6/7 of my submissions. Like many others, I was goaded by the public leaderboard to work far harder than necessary. My simulations of possible test set explanations were telling me not to bother, but I confused myself and ran my code for much longer over Friday-Sunday in the hope it would help. The organizers have made it clear that they wanted to use a small number of skies. Given that, there is still a way that they could have made the testing procedure behave more stably, which might be worth considering for future competitions with synthetic data. They could also re-evaluate their existing submissions this way — although it might just make people angry, maybe don't tell them the results :-). Let H (for hypothesis) be all the unobserved stuff: masses, locations, any other model tweak parameters that were sampled while generating data. Let D be the observed data: the galaxy positions and eccentricities. The organizers sampled a hypothesis from some distribution, P(H), and then data from a generative model, P(D|H). That procedure gives a sample from a joint distribution, P(D,H). We only saw the data D, drawn from the marginal of the joint distribution, P(D). One thing a lot of people did (myself included) was simulate a Markov chain that leaves P(H|D) invariant, to approximately draw posterior samples of the hypothesis (we did Markov chain Monte Carlo, MCMC). The organizers could do better than that. They can initialize their Markov chain at the true H, and then (for fixed data) draw an equally plausible set of hypothesis {H_1, H_2, ..., H_N}, by running a Markov chain (they also know the ground-truth likelihood+priors to use). Given this procedure, a competition entrant has no reason to prefer H to any of the H_n, I'd be just as happy being tested on H_139, because marginally it's just as much a sample from P(H|D) as the original hypothesis. You can probably see where this is going: a prediction for each sky can now be tested on all of {H,H_1,H_2,...,H_N}, which tests if the prediction does well on average over reasonable explanations of the data. For large N, this procedure would stop someone from a large pool of entrants ""getting lucky"", and doing better than a Bayes optimal predictor. What was the main thing I did different from lenstool? I haven't actually looked into what lenstool does, but I assume I perform MCMC on a simpler model than they do. Then for each test sky I generated a bunch of hypotheses H_1,...,H_N (although not, sadly, initialized from the truth, or simulated using the correct model). I then optimized my prediction locations to do well on the ""Dark Worlds Metric"" evaluated on those samples. I spent significantly more time on optimizing my predictions than sampling the hypotheses. I could have done the optimization more sensibly, but I suspect that optimizing the Dark Worlds cost isn't the right thing to do, but to propagate uncertainty through to the next stage of the data analysis, whatever that is. That's a conversation I'd be interested in continuing with the organizers... I've seen a lot of comments on the forum about how much scores jump around when bootstrap resampling the data. However, everyone is evaluated on predictions for the same input test data, so what really matters is how much your scores jump around for different plausible explanations of that data. If the scores do change a lot, then there's a danger of someone getting lucky.",2,bronze,5 ,Mon Dec 17 2012 16:42:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3375,/competitions/DarkWorlds,2nd
/anaconda,Approach of team Supernova (lenstool wrapper),"Interesting competition. Thank you! Let me briefly describe the approach / findings of the team Supernova. I believe it is quite different from what I have read here so far. We had the public score 0.72590 and the consistent private score of 0.72645. Omitting the first few weeks of the competition when we tried approaches similar to those already mentioned, we then (finally) managed to compile and run lenstool and directed our efforts in this direction. Our current approach could be named ""lenstool wrapper"" or ""lenstool ensemble."" It can be seen as a random forest with (randomized) lenstool predictions as base learners. Steps of our algorithm for a fixed sky: Generate multiple lenstool predictions on skies with subsampled galaxies (for example, use only 80% of randomly chosen galaxies). In the given amount of time and given our resources, for a 3-halo sky, we could get roughly 50 different triples of halo location estimates, and even more for 2-halo skies. Merge these estimates together (sort of clustering, partially informed) Apply heuristic rules to the final estimates to further improve the score (both components of the error metric) Comments: Simple error analysis: replacing our strongest halo estimates (in all types of skies) with ground truth didn't improve the score much => 1st halo estimation is basically solved and thus we focused solely on 2nd and 3rd halo Examples of heuristic rules: two estimates are too close to each other => they were, in reality, estimating the same halo => shift one of them to [2100 2100]; another rule: spread of individual estimates (to be clustered) was too high => unreliable => shift to [2100 2100]; And so on. At the end, we had 20-30 working rules, shifting the positions around, removing outliers, taking care of the boundary issues, etc. An important part of the system was the ability to determine situations when we can NOT reliably determine 2nd or 3rd halo location (mass of the halo below detectable threshold) and then place the estimate to the location where it minimizes expected error (either the first or the second component of the error metric). Another important element of our system: slight shifting of 1st halo estimates at the very end to reduce the angular error component (decreased angular error by 0.05 or so). In general, we used training set as a (careful) feedback for our decisions. At the very end, we actually incorporated a second layer of ensembling - we repeated the steps 2-3 of our algorithm 1000 times with different subsets of available lenstool estimates and merged these together (median). Our training score on 3x30 training skies (mean +- average over 1000 skies): F/1000 = 0.7081 +- 0.0398 G = 0.0584 +- 0.0299 score = 0.7665 +- 0.0515",4,bronze,4 ,Mon Dec 17 2012 17:12:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3376,/competitions/DarkWorlds,4th
/alchemist,Algorithm execution time,"Newbie here - is there a limit on algorithm execution time ? Or can the algo run for x days ? Also, is the algo required to output exactly the same path than the one submitted (which may not be the case for algorithms with some random searches) ?",0,None,5 ,Mon Dec 17 2012 17:49:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3377,/competitions/traveling-santa-problem,61st
/edge219878,Guess the winning distance,"Anyone want to take a guess as to the winning distance? I think we'll see a score that is less than 6,000,000, but not by much. I'll go with 5,900,000.",0,None,36 ,Mon Dec 17 2012 18:00:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3378,/competitions/traveling-santa-problem,None
/jostheim,Leaderboard tomorrow...,"I tweeted @kaggle about the status of the competition and got this: ""@jostheim aiming to have final leaderboard verified by tomorrow."" [Link]:https://twitter.com/kaggle/status/280752721517236224",3,bronze,4 ,Mon Dec 17 2012 20:35:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3382,/competitions/DarkWorlds,8th
/yololo,Weka Explorer Error - training and test set no compatible,"Hi, I am trying to use the Weka Explorer on my train and test files, which have 14 columns each. How can I use just a few of those 14 columns for a prediction? As soon as I remove some fields in the preprocess tab and revaluate the model I get an error that training and test set are not compatible. I guess that remove the fields in the preprocess tab does not remove the fields from the test file logic? As long as I keep all 14 columms the model evaluates. The result is pretty meanlingless though I believe. I am using ARFF files if that's important. Thanks a lot Yolo",0,None,12 ,Mon Dec 17 2012 20:50:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3383,/competitions/titanic,None
/jpablo128,Deadline details,"Could you please specify what are the time and timezone details for the deadlines? For example, the December 21 deadline... is it 23:59 UTC on Dec 21? Thanks.",0,None,1 Comment,Mon Dec 17 2012 22:43:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3384,/competitions/hospital,None
/analyzt,How do I add slides to the submission,I could not find any way to add slides to the submission. Inserting html from kizoa etc dont seem to be working. Can someone pls help show the way? Thanks,0,None,3 ,Mon Dec 17 2012 23:17:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3386,/competitions/hospital,None
/alexanderwastney,Adding screenshots and videos to my submission,"Hi there, I cant seem to add images, video, links etc to my GE hospital quest submission. Is there something missing or am I in the wrong place? Thanks, Alex",0,None,6 ,Tue Dec 18 2012 00:01:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3388,/competitions/hospital,None
/garlic0,second round o.d.w,looks like a good idea (if winton have more money and astro* have more time),0,None,6 ,Tue Dec 18 2012 01:18:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3389,/competitions/DarkWorlds,93rd
/marcusvanierssel,academic paper?,"Is there going to be an academic paper generated out of this? There seem to be numerous good ideas used in the competition, and it might be useful to share them. Might also be interesting to see what happens if you merge the best ideas from the top teams.",0,None,1 Comment,Tue Dec 18 2012 01:47:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3390,/competitions/DarkWorlds,10th
/ahajja,What training data should we use?,"Referring to the folder 'SampleTestSet/2012_11_19'. The file 'test_flights.csv' contains ~2K rows, for which their 'actual_runway_arrival' and 'actual_gate_arrival' need to be predicted. Also, the file 'flighthistory.csv' in the same folder 'SampleTestSet/2012_11_19/FlightHistory' (same day) contains ~24K rows. However, only ~7K rows have both their 'actual_runway_arrival' and 'actual_gate_arrival' un-hidden. It seems that the 'actual_runway_arrival'/'actual_gate_arrival' time for those ~7K rows were all before the cut-off time (for that day), which means - I'm assuming - that we can use all of those ~7K rows to train our model. So my question is: is it alwasy the case where we can use all (un-hidden) rows provided in the 'flighthistory.csv' for the corresponding day for training our model?",0,None,3 ,Tue Dec 18 2012 05:38:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3391,/competitions/flight,None
/dranalytica,Description/explanation of data,"There must be a document somewhere that describes and/or explains the data fields, but I can't find it. What have I missed?",0,None,1 Comment,Tue Dec 18 2012 05:48:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3392,/competitions/flight,None
/wcukierski,Final leaderboard is up,Thanks for your patience and congrats to the winners!,7,silver,7 ,Tue Dec 18 2012 19:21:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3395,/competitions/DarkWorlds,None
/hrishikesh,Team Paheli's approach to this competition,"Hi guys Our approach to this competition has been published on my blog http://www.blogicious.com/2012/12/dw2.html It is cowritten by my teammater [Link]:http://kaggle.com/u/46833. We were 10th in public leaderboard at one point, finished 17th on public leaderboard, but got butchered in private leaderboard. Anyways hope you enjoy.",4,bronze,4 ,Tue Dec 18 2012 20:00:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3396,/competitions/DarkWorlds,153rd
/anaconda,topcoder,"Did I notice a few ""topcoders"" in this competition? Just sayin...",1,bronze,15 ,Tue Dec 18 2012 23:19:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3398,/competitions/traveling-santa-problem,45th
/mathadroit,Airport Locations,"Are the airport locations somewhere in the data, or should we find those ourselves? Thanks!",0,None,6 ,Wed Dec 19 2012 00:01:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3399,/competitions/flight,None
/inversion,Share Your Goals?,"Sure, we'd all love to see ourselves at the top of the leaderboard. But, for most of us, there's a very strong chance someone else has more resources (computational power, expertise, etc) than we do, for any given competition. So, I like to come up with success criteria independent of the leader board. (Besides the intrinsic reward of working on each problem!) Here is what I want to get out of the Traveling Santa Problem competition: 1) Start to learn / implement the fundamentals of GPU computing. 2) Come up with a novel approach or heuristic specific to this path-plus-disjoint-path TSP problem. While computational horsepower is going to be very important, I think some clever improvement heuristics specific to this problem will go a long way, and will probably made the difference between top spot on the leader board, and ""almost"". Care to share your goals for this competition?",2,bronze,22 ,Wed Dec 19 2012 03:57:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3401,/competitions/traveling-santa-problem,138th
/usamec,Team mergers,Is it possible to merge teams in this competition?,0,None,1 Comment,Wed Dec 19 2012 12:05:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3404,/competitions/traveling-santa-problem,1st
/astrodave,Final thoughts and future work,"Dear All, After an epic journey, Observing Dark Worlds has come to an end and finally code can be unveiled, and prizes distributed. We think it seems right to say a few words. We want to say firstly thank you to all of you who have taken your time to compete in this slightly different contest from the normal Kaggle competitions. It has provoked a considerable amount of interest and this has been reflected in the number of teams entering and the number of submissions made. Over 350 teams is a phenomenal amount of participation, much more than we ever envisaged and it definitely bodes well for future competitions. It has been a roller coaster 2 months of which the forums never ceased to question, challenge and in some cases provide some interesting theories on the cosmos. Keeping on top of them has been difficult so we want to thank you all for your patience when trying to answer your questions. We also hope that you have learnt something about the scientific process, and about cosmology and dark matter along the way. As for the final leaderboard, congratulations to Tim Salimans on his great result. It was a fantastic score and we cant wait to get our hands on his code! Also congratulations to Iain and AMPires on your podium finishes. We had an improvement of 43% on lenstool which is great since this will be vital in future studies on Dark Matter. We would like to address the public leaderboard problems that were highlighted throughout this competition. There was a lot of conversation on the lack of test skies and the noise in the metric. In hindsight this would have been solved by providing a larger test set, that would have smoothed out the fluctuations that were seen, and the difference in public and private leaderboards would not have been so dramatic. We understand that some of you were concerned by the fact that the public leaderboard provided, in some cases, little information on the final submissions to choose, however unfortunately this is something that could not be helped (we note that the choosing of submissions for evaluation is something Kaggle could change for competitions of this type in future). We will be writing this competition up as a research paper so that the scientific advances can be described, and so that success and failures can be documented. We therefore regret to inform you that the solutions will not be published on the website until the paper is submitted to a journal. However we will be looking for feedback and content for the paper and therefore we will be contacting some of you in the near future to invite you as a co-author. If you would like access to the solutions in the meantime, in order to contribute to this writing up, we would like to invite you as a co-author on this paper, please get in contact with us through the forum. As for a future Observing Dark World competition we have no plans for a second in the immediate short term future; but longer term this is a possibility. We will first take time to analyse the results and reflect on the competition. There will however be future astronomy competitions very soon on different aspects of the literally astronomical challenges that face us, so look out for those! You won't have to wait long for a challenging astronomy competition! We would like to thank the sponsors of the competition, Winton Capital for their generosity and support. And don’t forget if you are interested in working for Winton, or are just curious to find out more, they would be delighted to hear from any compeititors. Thank you again for all your hard work and contributions to this competition. It has been a wonderful experience, and we look forward to Observing real Dark Worlds with your help very soon. Thanks, AstroDave and AstroTom",7,silver,5 ,Wed Dec 19 2012 13:20:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3405,/competitions/DarkWorlds,126th
/thakurrajanand,Mistake In Private Leaderboard,"This is not the first time I have founded something wrong on kaggle, but this time it is hell of stupid. I stopped working on this comp long time ago but today I saw my submissions private score according to which my best submission is 0.96 and last five submission best is 0.98 but on leaderboard it is reflecting 1.0026 which is the score of 3rd last model I submitted. Anyhow I am not going to win but what the hell is wrong with Kaggle people. Please try to maintain your standards. I am expecting a brief clear answer of what is wrong currently from the competition organizer.",0,None,4 ,Wed Dec 19 2012 16:13:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3406,/competitions/DarkWorlds,169th
/dranalytica,"What's with ""sample solution""","These files have three fields per record, presumably fields 2 and 3 are the predicted runway arrival and gate arrival times. But let's look at line 2 of 2012_11_19.csv: 280778857,1083,1099 I don't see how to assign any time units to fields 2 and 3 that make sense. For example, here is the (re-formatted) flight_history record for this flight history id: flight_history_id : 280778857airline_code : AAairline_icao_code : flight_number : 634departure_airport_code : SNAdeparture_airport_icao_code : KSNAarrival_airport_code : DFWarrival_airport_icao_code : KDFWpublished_departure : MISSINGpublished_arrival : MISSINGscheduled_gate_departure : 2012-11-19 15:30:00+00:00actual_gate_departure : 2012-11-19 15:23:00+00:00scheduled_gate_arrival : 2012-11-19 18:30:00+00:00actual_gate_arrival : 2012-11-19 18:19:00+00:00scheduled_runway_departure : 2012-11-19 15:44:00+00:00actual_runway_departure : 2012-11-19 15:37:00+00:00scheduled_runway_arrival : 2012-11-19 18:42:00+00:00actual_runway_arrival : 2012-11-19 18:03:00+00:00creator_code : Dscheduled_air_time : 178scheduled_block_time : 180departure_airport_timezone_offset : -8arrival_airport_timezone_offset : -6scheduled_aircraft_type : actual_aircraft_type : B738 It seems that this flight arrived at Dallas Fort Worth around 2 PM central time. What do ""1083"" and ""1099"" mean?",0,None,3 ,Wed Dec 19 2012 18:54:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3408,/competitions/flight,None
/user70609,Время окончания конкурса,"На главной странице написано, что конкурс заканчивается 19 числа в 23:59. Это по времени московскому или тому, что на сайте? Тут на 4 часа меньше. И ещё, почему в другом месте написано, что окончание конкурса 23 числа? Ends: 12:00 am, Sunday 23 December 2012 UTC (33 total days) И ещё: выбрать сабмит (лучший с моей точки зрения) можно только один раз?",0,None,5 ,Wed Dec 19 2012 21:08:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3410,/competitions/nnsu-itseez-machine-learning-competition,1st
/tedj7890,Sci_growth_grade is missing ?,"From the Data section: ""Final Grades – This is the most important worksheet in the file. ... Overall_ach_Grade This is the grade for academic achievement Read_ach_grade This is the reading achievement grade Math_ach_grade This is the math achievement grade Writing_ach_grade This is the writing achievement grade Sci_ach_grade This is the science achievement grade Overall_weighted_growth_grade This is the grade for academic growth Read_growth_grade This is the reading growth grade Math_growth_grade This is the math growth grade Write_growth_grade This is the writing growth grade SPF_PS_IND_Grad_Rate This is the school’s graduation rate (for high schools only). Please be sure you use this column and not the similar column that lists the graduation rate for ELL students",0,None,1 Comment,Thu Dec 20 2012 02:05:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3411,/competitions/visualize-the-state-of-education-in-colorado,None
/benhamner,Public Leaderboard Set Release + Leaderboard Activation,"Hi all, Thanks everyone for your participation in this quest so far, along with your patience with us on the data issues. I'm tremendously excited to announce the release of the Public Leaderboard Set, which contains 14 days of test data from November 26, 2012 through December 9, 2012. Each day is truncated at a randomly selected cutoff time. This data, along with sample benchmark submission files, can be downloaded from the [Link]:https://www.gequest.com/c/flight/data. This contest is far more complex than the typical Kaggle contest and currently it is relatively challenging to get started. We will be providing additional code and guides soon to help you with this, as well as clarifying and simplyifing some of the data descriptions. Please let us know if you have any questions, and good luck! Ben",1,bronze,21 ,Thu Dec 20 2012 09:48:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3413,/competitions/flight,None
/julesvanligtenberg,time zone TBD in submission instructions,"Hi, In the submission instructions it says: ""predicted_runway_arrival_time: This is your predicted runway arrival time in minutes since midnight (time zone TBD)."" and ""predicted_gate_arrival_time: This is the predicted gate arrival time for the flight, in minutes since midnight (time zone TBD)."" Which time zone do we have to use here? Thanks, Jules",0,None,3 ,Thu Dec 20 2012 10:21:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3414,/competitions/flight,19th
/ydhiman,Unable to Understand the statement .........,"You're looking for shortest-distance paths through a set of chimneys, but instead of providing one path, Please explain ............",0,None,12 ,Thu Dec 20 2012 12:27:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3415,/competitions/traveling-santa-problem,291st
/intaka,Motivation,"The challenge (http://www.gequest.com/c/flight) is to ""Use the different data sets found on this page under Get the Data to develop a usable and scalable algorithm that delivers a real-time flight profile to the pilot, helping them make flights more efficient and reliably on time."" The task is to a) model and update the details of all flights in the 14-day time period up until the cutoff day/time and then to b) predict the runway and gate arrival times of all the remaining flights in the air. Over a 14-day period there are ~350,000 flights and at the cutoff there are ~26,000 flights to predict for. The volume numbers (350,000 and 26,000) are low to categorize as requiring a scalable solution, and the problem as stated could be solved by for example, a random forest solution. A bit baffled between the challenge ('... a usable scalable algorithm that delivers a real-time flight profile ...') and the actual problem which could be solved using a non-scalable and non real-time algorithm. Have I mis-understood the competition challenge and problem?",0,None,2 ,Thu Dec 20 2012 16:45:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3417,/competitions/flight,None
/chrisnunes,Preventing iteration on other submissions,"Hey Guy- I am submitting a fairly comprehensive proposal, complete with wireframes, walk through video, and detailed description. Some of my project points are fairly unique and cutting edge technology that few people in the health IT space know how to implement, but which are quite achievable (we've built various pieces of the proposal in other forms in other apps). Because much of the submission process seems to be publicly available, how do you handle other entrants cherry-picking off of our (or other) submissions? (No offense to any particular entrant reading this - speaking in generalities.) Do you essentially freeze submissions and their elements as of Milestone 1? Or will entrants be allowed to expand and modify their submissions, and potentially include all the best ideas from other participants? Because that seems like a recipe for disaster when it comes to judging - if you have 15 entries that all have similar points because people have identified the best ideas and adjusted their entries to suit. And no, I'm not saying we have the best ideas and people will copy us. In addition to this Quest, I'm exploring the Kaggle platform and the other competitions you're hosting, so I'm curious how your system is set up to handle entrants gaming the process. But specifically, you're dealing with systems analysts, game theorists, and data optimizers, so the question seems relevant... I suppose because of that, then it doesn't make sense to describe any specific tactics you have implemented to prevent such gaming, But knowing that there is a process would be interesting. Much appreciated, and I like your bizmodel of crowdsourced genius.",1,None,2 ,Thu Dec 20 2012 17:10:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3418,/competitions/hospital,None
/guillermoperezsolero,Delete presentations,"Hello, Just published my idea, but I attached two presentation, I wanted to delete one but it is not working (the ""x"" button seems is not working): I will like to delete the ""Patient_satisfaction"" since is part of my research, but nothing related with the idea nor the presentation I want to use - In order to avoid confusion I wanted to delete it. Is it possible? Thx",0,None,3 ,Thu Dec 20 2012 18:48:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3419,/competitions/hospital,None
/ronaknandwana,How to Calculating distance between points,"Hello New to Kaggle and to data science as well...had a data mining course back in college and I heard about this site thought I would give it a try. Is my understanding correct that the method to calculate the path distance is to sum the Euclidean distance formula between each point? In all the different trials I've done so far, I haven't achieved a distance lower than 52M, so I want to make sure I am calculating the distance correctly. Thanks for the help! Ronak",0,None,1 Comment,Thu Dec 20 2012 22:01:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3421,/competitions/traveling-santa-problem,None
/colinnyoung,Submission site locking up,"When I try to open the submission site to view the current applications and create a new one, the site is freezing up and I am recieving error codes. Specifically it is giving me a ""parser error."" The rest of the website is fine and the submission portion worked ~1 hour ago. Any thoughts / suggestions? Thank you!",0,None,6 ,Thu Dec 20 2012 22:53:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3422,/competitions/hospital,None
/dimkadimon,Problem Discussion,"I am new to Kaggle, so I am not familiar with all the rules. I've noticed that there has been some discussion of the problem. Is such discussion allowed and how much can we discuss?",0,None,3 ,Fri Dec 21 2012 01:25:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3423,/competitions/traveling-santa-problem,97th
/catgclark,Save Draft function not working,"Hi there! I've been trying to save a draft, but I always get an error that says that it cannot save it. Anyone have any advice or suggestions as to how to retain a draft in the system? Thanks in advance for your help.",0,None,1 Comment,Fri Dec 21 2012 02:08:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3424,/competitions/hospital,None
/bjg9846,Cutoff time selection,"I am sorry if I missed this in the description. What is the criteria or distribution used to generate the random cutoff times? For example, is there a certain range of times that the cutoff time is being uniformly selected from? Or is it possible that a cutoff time in a future dataset will be shortly after ""day_beginning"", i.e. 09:01:00 UTC?",0,None,3 ,Fri Dec 21 2012 06:03:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3425,/competitions/flight,74th
/mprovo,Is it too late to sign up,"It wasn't clear from the ""rules"" pdf, but is it too late to sign up. It looks like I will be unable to submit my initial algorithm for the training set?",0,None,1 Comment,Fri Dec 21 2012 06:04:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3426,/competitions/flight,None
/pknerd,Can I still participate?,Hi I just came to know about this Hospital contest via LinkedIn. I am from Pakistan. I am pretty much interested coming up with my ideas to solve issues that we come across in a hospital. I realized tha today was the last date of stage 1 submission. I wonder whether I can still participate?,0,None,3 ,Fri Dec 21 2012 12:39:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3427,/competitions/hospital,None
/gaborfodor,Merry Christmas!,Unfortunetly I have not got enough time to code and visualize a new method yet. But I modified the old nearest neigbor to get a geek Christmas card :) https://www.youtube.com/watch?v=HLNT54ThS4A,6,silver,1 Comment,Fri Dec 21 2012 15:10:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3428,/competitions/traveling-santa-problem,11th
/alekseynp,Scoring Types?,"Evidently each leaderboard is for a different competition which has a different way of scoring -- fine. The challenge is that in some competitions a lower score is more desirable, while in others it's higher. Apparently in some competitions it is possible to get a negative score. Is there a complete taxonomy of types? Is there a mapping of leaderboards to those types? Thanks, Aleksey",0,None,3 ,Fri Dec 21 2012 16:32:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3430,/competitions/leapfrogging-leaderboards,None
/markw707,Is it okay to presume that test takers will type their answers into a web page?,This is the format of my model. Thank you.,0,None,1 Comment,Mon Aug 27 2012 00:30:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2450,/competitions/asap-sas,None
/sangbala,data science,,0,None,2,Mon Jul 02 2012 12:18:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2123,/competitions/emc-data-science,None
/jasonkarpeles,Transcript patients in test set,,0,None,1,Sat Jul 14 2012 08:22:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2178,/competitions/pf2012-diabetes,102nd
/zaccaksolutions,Site broken: FAQ not working right,Please fix thanks!,0,None,2,Wed Jul 18 2012 04:52:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2191,/competitions/hhp,544th
/sashikanthdareddy,"""Amount2"", why are we predicting amount raised to the 1.15 power","Well, as the title says, Why?",0,None,1,Thu Jul 26 2012 23:32:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2263,/competitions/Raising-Money-to-Fund-an-Organizational-Mission,7th
/binghsu,Is there any deal of cloud computing?,"Yeah, I see Microsoft and Amazon are sponsors.",0,None,3,Mon Aug 20 2012 20:27:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2393,/competitions/acm-sf-chapter-hackathon-big,None
/harriken,0.000000,what does a final score of 00000 mean?,0,None,2,Thu Sep 06 2012 07:02:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2593,/competitions/asap-sas,30th
/glider,Verification Set Release Delayed,We will be delaying the release of the verification set until tomorrow morning. We will extend the deadline 24 hours ( 9/21 11:59 PM UTC) to compensate.,0,None,5,Tue Sep 18 2012 04:40:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2688,/competitions/detecting-insults-in-social-commentary,None
/shinmagi,choosing 5 final submissions,"This is my first Kaggle competition, and I just wanted to ask a quick question regarding the 5 submission requirement. How is the final score generated from the 5 submissions made? Is it average of the 5 submissions? or is it the best of the five? I would imagine it is the best of the five submitted, but please feel free to correct me.",0,None,1,Thu Oct 11 2012 20:59:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2859,/competitions/MerckActivity,7th
/brandonrobertz,judging,When is this going to be judged?,0,None,1,Sun Oct 21 2012 20:12:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/2948,/competitions/cir-prospect,None
/andysloane,i am an idiot,http://imgur.com/o7uSG,0,None,7,Sun Nov 04 2012 01:35:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3066,/competitions/predict-closed-questions-on-stack-overflow,37th
/jessicabombaz,TSP,Has Santa's route to end at his starting point?,0,None,4,Sat Dec 15 2012 20:31:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3344,/competitions/traveling-santa-problem,None
/josephclark0,"What do you mean by ""best public score""?","The data description says that each file contains only the ""best public score"" at the time a solution is submitted, because we are to only use public information. However, I can clearly see that the current leaderboards (e.g., for the Pfizer competition) contain scores for all competitors, not just the best one. Furthermore, if only the best score is given, then the data files should show monotonically improving scores in that column, but that's not the case. So... what exactly is the data in that column? It looks an awful lot like it's that team's own score, not the overall best score at the time of submission. Please clarify.",0,None,3,Fri Dec 21 2012 18:46:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3431,/competitions/leapfrogging-leaderboards,None
/goinvo,"Miss Milestone 1, Eligible for Milestone 2?","If I do not submit for todays Milestone 1 deadline am I no longer eligible to join the competition for Milestone 2 and the Grand Prizes? Thanks, E",0,None,1,Fri Dec 21 2012 19:04:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3435,/competitions/hospital,None
/gregs1,In the money - or not in the money?,"The top leaderboard entry indicates ""in the money"". I don't believe that's true, as one has to not only be in first place, but also must have a score better than 0.4 to truly be in the money. Correct?",0,None,2,Fri Dec 21 2012 21:16:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3436,/competitions/hhp,863rd
/wcukierski,Visualization track is open,"We've opened up a [Link]:https://www.kaggle.com/c/traveling-santa-problem/visualization page, should you feel in the mood to post interesting images/movies that arise on your journey around the earth. Ho Ho Ho!",1,bronze,1,Fri Dec 21 2012 22:42:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3437,/competitions/traveling-santa-problem,197th
/markkujuhaniosaarinen,on submission data format ,"Hi, If the data is supposed to be in ""minutes since midnight UTC"", how come reference answers sets like ""estimated_arrival_benchmark_rev1.csv"" have entries that are larger than 24 hours (1440 minutes?). Perhaps a clearer definition should be in order (e.g. midnight UTC on the day of scheduled departure). I am adding some ad hoc glue here to my code. flight_history_id,actual_runway_arrival,actual_gate_arrival280512632,1401,1403280512634,1407,1406280512665,1452,1461 <- here280512670,1441,1446 <- here again280512721,1395,1409 ... Cheers, - markku",0,None,4,Sat Dec 22 2012 10:19:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3441,/competitions/flight,57th
/ydhiman,Duplicate Path Segment Found,"Please expalin the error "" [path 2] duplicate path segment found: I am getting while submitting .........",0,None,1,Sat Dec 22 2012 17:29:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3442,/competitions/traveling-santa-problem,291st
/lonelyatthetop,Submission limits,"Hi Ben, I'm wondering if the submission limits of 2 per day could be loosened a bit? My score on the actual test set isn't quite tracking my score on my own personal test set the way I think it should, and it's a bit hard to debug when I'm limited to only 2 submissions per day ...",1,bronze,1,Sat Dec 22 2012 18:59:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3443,/competitions/flight,45th
/dslate,"Problem with ""My Submissions"" page","The explanation on the ""My Submissions"" page contains references to ""private data subset"", ""public subset"", ""select up to 5 submissions"", etc., that are relevant to other Kaggle contests but not this one. Should this text (shown below) be revised, or am I just confused? Note: You can select up to 5 submissions that will be used to calculate yourfinal leaderboard score. If you do not select them, up to 5 entries will bechosen for you based on your most recent submissions. Your final score willnot be based on the same exact subset data as the public leaderboard, butrather a different private data subset of your full submission. Your publicscore is only a rough indication of what your final score might be. You shouldchoose entries that will most likely be best overall, and not necessarily juston the public subset.",0,None,3,Sun Dec 23 2012 00:22:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3447,/competitions/traveling-santa-problem,15th
/brianfeeny,Help improve high level algorithm?,"I am looking for some ideas, and sharing some at the same time. Any help is appreciated. For now, I am just trying to solve for the single path. My workflow is like so: 1. start with all points sorted by Y and then by X 2. take the first point, pointA, calculate distances to its nearest neighbors (I am going as high as 25,000 nearest neighbors). 3. take the minimal distance neighbor pointB, and build edge from pointA to pointB 4. remove pointA from candidate points 5. pointB is your new pointA, repeat from step 2 I can get to 7.1M fairly easy with this method. But I really would like to be in the high 5M or 6M range. I am looking for some ideas. One thing I thought to try is to build into my algorithm more of a prefetch/look ahead, where I am not just looking at the best distance of pointA -> pointB but rather pointA -> pointB -> pointC. This increases complexity, but could be a strong benefit, I may try this next. Other ideas are building a larger search space for candidates. 25,000 is quite a bit, I could expand on this, but the data has shown this yields diminishing returns, my current stats for my nearest neighbor cache returns is as so: 231,759,107 30 15,390,906 60 9,899,237 120 7,917,991 240 7,332,264 500 7,198,760 1000 7,193,568 5000 7,161,271 25000 So yes, it always yields better results, but with a lot more compute time, it still runs reasonably fast, so I may continue push that ,but I am seeing very little returns, and I need to push my algorithm. Everything I am doing at the moment is in raw java, although once I have a working algorithm I may make use of a graph library to help me organize things better Another thing I plan to write, is a basic Data Structure that holds 4 integers, and keeps them sorted. This way I can easily have associated to each vertex, its ""best 4"" neighbors, and not have to deal with this manually. When your just looking for one best path, its simple, you just replace it with a smaller distance if one is found. Brian",0,None,1,Sun Dec 23 2012 04:10:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3450,/competitions/traveling-santa-problem,46th
/njcole,"150,000 or 149,999 edges?","As there are 150,000 chimneys, and Santa does not need to return home, I assumed that the submissions would need to contain 149,999 edges. However, having just tried to submit such a file, it has complained that there are not 150,000 entries. What have I missed? Thanks in advance for any advice.",0,None,4,Sun Dec 23 2012 14:57:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3451,/competitions/traveling-santa-problem,333rd
/rkirana,usairporticaocodes.txt,usairporticaocodes.txt. Where is this file? Cannot find in the data section,0,None,1,Sun Dec 23 2012 18:40:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3454,/competitions/flight,18th
/rkirana,what is the meaning of HIDDEN in a date field?,what is the meaning of HIDDEN in a date field?,0,None,1,Sun Dec 23 2012 18:57:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3456,/competitions/flight,18th
/rkirana,What do the different events in flighthistoryevents mean?,Unfortunately I don't have a background on aeronautical terms. What do the below mean? table (flighthistoryevents$event) Arrival Estimation Gate Adjustment 6 53539 Linked Airport Deicings(s) Linked Airport Delay(s) 1069 1054 Linked Ground Delay Program(s) RecordCreated 784 25413 STATUS-Active STATUS-Cancelled 24296 280 STATUS-Diverted STATUS-Flight Plan Filed 102 42 STATUS-Landed STATUS-Redirected 9970 228 STATUS-Scheduled STATUS-Unknown 32 986 STATUS-Wheels Down Time Adjustment 14124 336617,0,None,1,Sun Dec 23 2012 19:26:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3458,/competitions/flight,18th
/lonelyatthetop,Submission ordering?,Are the submission's entries supposed to be in a certain order (i.e. the one in test_flights_combined)? My leaderboard results aren't agreeing with what I'm getting on my own personal data sets. I created my own cutoff submission just like the example (except with the entries in a different order) and got a result of 94.96991 rather than the quoted 94.27294.,0,None,2,Mon Dec 24 2012 06:15:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3459,/competitions/flight,45th
/macmadman,how to understand and use three benchmark files,Could someone help me to figure out what are those three benchmark files for and how to understand them? They're: cutoff_benchmark estimated_arrival_benchmark_rev1 scheduled_arrival_benchmark I couldn't find any documentation to them.,0,None,2,Mon Dec 24 2012 18:30:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3462,/competitions/flight,None
/jwkvam,Why were SampleSolution and SampleTestSet removed?,I don't see SampleSolution or SampleTestSet files available on the Data page any more. Were they removed for some reason?,0,None,1,Mon Dec 24 2012 20:44:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3463,/competitions/flight,5th
/brianfeeny,What is your difference between path1 and path2?,"My difference was approximately 1M on my first submission. So basically around 22% or so penalty for the mutations I did to path1. I am curious how ""close"" others paths are two eachother in total distance.",0,None,6,Tue Dec 25 2012 05:51:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3468,/competitions/traveling-santa-problem,46th
/lonelyatthetop,Big typo in leaderboard test set (asdi flightplan),"If your model happens to include the estimated arrival time in the asdiflightplan.csv, there's a reason your leaderboard submissions are terrible: On Dec 5, of the 4 entries for flight 282233030, 3 have an eta near the end of Dec 5, the last (and most recent) however, has an eta near the end of Dec 6. This is wrong and should be changed to Dec 5. To the admins: I hope there will be some leeway in the final test set submissions if isolated errors like this pop up in the final data. This one wrong data point increased my score by nearly two minutes. I've now put in some sanity checks on the data, but it's hard to account for all possibilities. I feel that if your final submission is unexpectedly bad, and you can fix it by making a small change to the data (like Dec 6 --> Dec 5), this should be allowed.",2,bronze,7,Wed Dec 26 2012 01:41:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3470,/competitions/flight,45th
/kale77079,duplicate chimneys,"There are only 149,971 uniquely located chimneys. E.g. (9224,16222) also appears as (16222,9224). Do we need to visit these 29 chimneys twice?",0,None,5,Wed Dec 26 2012 01:53:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3471,/competitions/traveling-santa-problem,181st
/vr14053985,SVM vs Random Forests,"I have found through experimentation that random forests work better on this dataset than SVM. Since SVM is designed to deal with high dimensional data sets (this one has 1776 features), I was wondering if someone could share insight on why SVM may not be optimal and why random forests may be better, particularly on this data. In general, is there a way to visualize a data set/feature set to gain insights on which classifier methods will work? I was trying to develop a general visualization of the features in the data, but I could not come up with a good way (especially a way to better inform me as to what classifiers might work).",2,None,1,Wed Dec 26 2012 07:20:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3472,/competitions/bioresponse,None
/ydhiman,Data Dictionary ?,A link where I can get description of all variables . Excel Link also not working,0,None,1,Wed Dec 26 2012 11:48:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3473,/competitions/visualize-the-state-of-education-in-colorado,None
/bjg9846,2012_11_12 ASDI data,Is there data missing in the ASDI files provided for 2012_11_12 in InitialTrainingSet_rev1? The first update in asdiflightplan.csv for that day is at 2012-11-13 02:55 and most of the files (with the exception of asdiposition.csv) for that day are significantly smaller than the corresponding files for other days.,2,bronze,1,Wed Dec 26 2012 18:00:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3474,/competitions/flight,74th
/guessagainmatt,Pilot information,"Hello, Are there any plans to add some sort of unique designation for each pilot, and information about the pilot's experience level for the different aircraft types or number of times they have previously flown each of the flight paths? Unless the flights are fully automated I would guess that those factors would have an impact on the estimates. My apologies if I missed something in the rules that said that the data set wouldn't change during the course of the competition - I'm new to this community and not familiar with how things work. Thanks!",0,None,2,Wed Dec 26 2012 19:37:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3475,/competitions/flight,None
/rkirana,estimated arrival not in flighthistoryevents,What does the estimated arrival benchmark do inorder to handle flights that do not have a ERA/EGA in flighhistoryevents.csv? Ben?,0,None,3,Wed Dec 26 2012 19:50:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3476,/competitions/flight,18th
/lonelyatthetop,Test set filtering?,"Hi Ben, Before the leaderboard went up, you mentioned that there were some difficulties with the test data that were being resolved. I wanted to check and make sure that there were no additional criterion for inclusion in the test set other than the simple ones you have already mentioned. For example, there are some points in the training data with clearly incorrect values (i.e flight times in excess of 1000 min, etc). It's now clear to me that I need to do a better job of vetting the data given to me, but before I begin this process, I wanted to make sure that the test data is in the same condition. Thanks.",0,None,1,Thu Dec 27 2012 06:26:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3478,/competitions/flight,45th
/tranlm,any interest in forming a team?,"I'm interested in competing, but don't have as much time as I'd prefer. Is anyone interested in forming a team? I'd prefer someone with previous experience who has a background in analytics or predictions.",0,None,4,Thu Dec 27 2012 18:00:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3480,/competitions/flight,None
/jimfuller,newbie questions/clarifications,"I think I grok the problem but before I make a submission, just wanted to ask; * I believe there is no requirement to end at the starting point * I understand the reasons why we would avoid, but was wondering if crossed paths are explicitly disallowed ? * could you clarify 'disjoint paths' e.g. I believe you mean going from an exact chimney to another chimney cannot be duplicated between the 2 solutions * the submission format represents path1 and path2 eg. two unique solutions to the problem. The single series of numbers (textual Numbers in your parlance) are an ordered sequence representing chimney ID's right ? * I don't see where in the submission format you would put the sum total ? thx in advance for clarifications for this newbie. Jim",0,None,2,Thu Dec 27 2012 22:07:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3481,/competitions/traveling-santa-problem,None
/zygmunt,Tuning model parameters automatically,"Recently there's been some research about optimizing model hyperparams automatically, a job typically done by humans (as you probably well know). One example is a piece of software called Spearmint by Jasper Snoek et al. I have posted an account of my experiences with Spearmint here: [Link]:http://fastml.com/tuning-hyperparams-automatically-with-spearmint/ Does this subject interest you?",1,bronze,2,Fri Dec 28 2012 16:31:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3486,None,None
/swooding,External data?,"Hi, I'm guessing that data like age has been artifically surppressed for this compeition, as I am able to find such data over at Encyclopedia Titanica. The rules said we were not to look up the survival data that's in the public domain, but said nothing of the looking up missing features. If this is the case, then it needs to be made more clear in the rules. I'm actaully thinking this might not have been the best beginner compeition, as there is just so much information on the Titanic. I happen to know a lot, as my great granddad was a survivor (crew). Cheers, Steve.",0,None,1,Fri Dec 28 2012 16:55:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3487,/competitions/titanic,None
/dxyz46459,A suggestion,"Since it has been decided that rather than make predictions as a simple UTC datetime we need to report the predictions as an offset to midnight from a magic date. Rather than discuss how to obtain the magic date, what happens for flights over midnight and so on, could the admins just please put in the test_flight files what prediction offset date they would like us to use. Most of us will have the prediction date represented as a datetime somewhere.",4,bronze,1,Fri Dec 28 2012 17:34:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3488,/competitions/flight,131st
/barrenwuffet,Which Column Determines Midnite to use,Which column in any file determines what the departure date is? For example flight_history_id #280315758 in the 11-13-2012/flighthistory.csv file has all departure and arrival dates as '11/14/2012' except for 'actual_gate_departure' which happens 13 minutes before midnite on the 13th. Is it basically the earliest date among all columns or is it determined by one specific column(s)? Sorry in advance if this is a repeat.,0,None,1,Fri Dec 28 2012 21:48:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3491,/competitions/flight,142nd
/glider,Welcome to the Novice Forum,New to data science? This is the forum to ask any and all questions that aren't tied to a specific competition. Would also love to see some of the Masters level users dropping in to give advice.,1,None,1,Fri Dec 28 2012 23:41:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3493,None,None
/nicknewby,New Simulators,"Ok, I concede I am new to this process. I was curious if anyone is willing to offer some insight into how they have developed the skills they are utilizing in these problems. I am a Master's Degree Candidate in Economics, and attempting to work my way toward Statistical Modeling in that area. I am curious what type of classes/readings/studies/work experience people have that have led you to this expertise. If you are willing to expand on what you have done, or studied to get to the point that each of you are (fighting for 1st place) it would be greatly appreciated. I am working to study various programming and mathematical techniques, but curious if I am barking up the wrong trees... any direction would be appreciated.",0,None,4,Sat Dec 29 2012 04:08:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3497,/competitions/traveling-santa-problem,301st
/oneoff,Naive question : what would be the cost of shortest path it this problem was the standard TSP ?,Naive question : what would be the cost of shortest path it this problem was the standard TSP ? Of course I think only about approximation. I ask because I wonder if it's worth to take a part in this competition. If current best solution is less than 5% worse than shortest standard TSP path then I think it's not worth to start :),0,None,8,Sat Dec 29 2012 21:47:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3500,/competitions/traveling-santa-problem,None
/oneoff,It is only about visualization of current state of leaderboard or visualization may ...,It is only about visualization of current state of leaderboard or visualization may also contain information about past states of leaderboard (expecially history of submissions of given team ) ?,0,None,4,Sat Dec 29 2012 22:30:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3501,/competitions/leapfrogging-leaderboards,None
/melisgl,Evaluation noise,"I've been trying to estimate the uncertainty in the evaluation with my current simplistic solution. Repeating the evaluation for 14 days 100 times, the stddev of the scores is ~0.35 with a mean of ~7.2. It's possible that the uncertainty is different with other kinds of predictors. What is yours? Public and eventually the final scores will have this kind of noise on them.",0,None,3,Sun Dec 30 2012 13:28:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3502,/competitions/flight,6th
/olexiy,Constraints on selected flights,"Hello, I remember some post in forums was saying that we will be asked to predict flights which are: in the air at cutoff time have both actual_gate_arrival and actual_runway_arrival some other constraints. Can someone remind me what that other constraint was? And is it possible to put that description at ""Data"" contest page? (or some other page) Thanks, Olexiy",0,None,2,Mon Dec 31 2012 01:55:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3504,/competitions/flight,68th
/rocelot,Hand drawn entries,Are hand drawn submissions un-acceptable ? Or are they disadvantaged by the scoring system because it will fail to be reproduceable ? I have what I think is a very good idea but unfortunately no experience programming in any language other than R.,0,None,1,Mon Dec 31 2012 03:20:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3505,/competitions/leapfrogging-leaderboards,None
/upulbandara,Feature Selection and Boosting,"Hi All, I’m new to Machine Learning and just completed Andrew Ng machine learning class. For this competition I trained a Logistic Regression and used gender, age, passenger class, and fare as my features and manage to score 0.77990.It seems like I have to use other techniques to improve my score. I’m planning to use a boosting algorithm for this purpose. Is it advisable to use a booting algorithm for improving the prediction accuracy? Moreover, I spent very small amount of time for the feature selection. I treated age and fare as real numbers, assigned 1 (for male) and 2 (for female) for gender. Further, I assigned 1, 2 or 3 as the passenger class feature. Can you please tell me, what are other steps I need to follow in order to improve the prediction accuracy of my system?",0,None,6,Mon Dec 31 2012 05:13:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3506,/competitions/titanic,None
/shuhao,Visualization?,Can I create a visualization website using things like D2.js and other tools and link to it from the submitted report? Will that be evaluated or not? Also I'm looking into release all my source code once the competition is completed. Can I license those code under terms such as GPL or does it have to be CC (it is not a part of the report),0,None,1,Mon Dec 31 2012 19:09:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3508,/competitions/visualize-the-state-of-education-in-colorado,None
/shaun314,Changing of Grades,"Hey, I was just looking at the sample list of interests and saw the first one: How have grades changed over time across the state (or perhaps more importantly how have they remained the same)? ..My question, and I am probably thinking about this wrong, but aren't the grades on 100% curve, so the same amount of A's and the same amount of F's are assigned each year, therefore making it hard to see the overall change in quality of schools based soley off the grade? Let me know if I misintrepreted the data a little, thanks!",0,None,1,Mon Dec 31 2012 21:15:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3509,/competitions/visualize-the-state-of-education-in-colorado,None
/nileshjethwa,How to tell if decreasing or increasing score is winning,"Looking at the data files, some have increasing score and some have decreasing score. Is there any way to tell if decreasing score is winning or increasing is the winning?",0,None,1,Tue Jan 01 2013 00:47:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3513,/competitions/leapfrogging-leaderboards,None
/brianfeeny,LKH and subproblems,"Can someone give some insight on how LKH is used to solve subproblems? In the user guide, it speaks of two parameters: SUBPROBLEM_SIZE and SUBPROBLEM_TOUR_FILE. I would have intuitively thought that SUBPROBLEM_SIZE could just take and integer, divide the problem file into that number of parts, and solve. But it seems that SUBPROBLEM_TOUR_FILE is required. This is confusing, since the point is to divide the problem file, to solve for a tour, yet its asking for a tour to being with, and that is where I get confused.",0,None,8,Tue Jan 01 2013 06:55:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3514,/competitions/traveling-santa-problem,46th
/ccshih,"""Time Adjustment"" after ""STATUS-Landed"" in flighthistoryevents.csv","When I checked flighthistoryevents.csv, I found that some ""Time Adjustment"" events come after ""STATUS-Landed"" event. My understanding is that an ""STATUS-Landed"" means AGA is known, so there should be no more ""Time Adjustment"" of ERA/EGA/ARA/AGA. Is my understanding wrong? Thanks.",0,None,2,Tue Jan 01 2013 09:12:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3515,/competitions/flight,127th
/chrisfs,2010 FRL and 2011 Same data?,The files 2011_k_12_FRL and 2010_k_12_FRL seem to have the exact same data in them. Unless every single school in Colorado had the exact same number of children getting free or reduced lunch (down to 1 decimal) despite students graduating and entering. there is something wrong here.,0,None,6,Wed Jan 02 2013 04:48:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3518,/competitions/visualize-the-state-of-education-in-colorado,None
/martaponcela,use of data,"Hello! I've discovered this interesting competition when it is finished!!!, but I am very interested in wind forecasting. Now that the competition is finished, Is there any restriction to use the data or for publising scientific work based on your data? Thank you in advance for your answer and time, best regards, Marta",0,None,3,Thu Jan 03 2013 11:36:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3527,/competitions/GEF2012-wind-forecasting,None
/albeam,Submission Limits,"Since this is a learning competition, do you think it would be possible to increase the daily submission limit? We will have some students submitting as part of a class and it would make it easier if they could have more than 2 submissions per day.",0,None,9,Thu Jan 03 2013 18:16:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3529,/competitions/titanic,None
/mm2012mm,Question about submission file format,"Is it true that I should submit 2 files, each contain 1 path ?",0,None,1,Thu Jan 03 2013 20:54:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3531,/competitions/traveling-santa-problem,None
/saoconnell,Congratulations Anthony !!,Anthony G. Congratulations on being on the Fortune Magazine Technology 30 under 30. A very distiguished peer group. http://www.forbes.com/special-report/2011/30-under30-12/30-under-30-12_technology.html Stephen...,0,None,2,Fri Jan 04 2013 03:29:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3533,None,None
/hurricane1,Yes/No values in 2010_COACT.csv file,"The 2010_COACT.csv file has values of 0 and 1 in the colmuns where yes/no values are expected. But the documentation says that these values are to be 1 and 2, where 1=yes and 2=no. And the 2011_COACT and 2012_COACT files do indeed use 1 and 2. What is the meaning of the 1/0 values in the 2010_COACT file?",0,None,9,Fri Jan 04 2013 07:11:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3534,/competitions/visualize-the-state-of-education-in-colorado,None
/iritwik,Download Manager for Large Datasets,"Can anybody suggest a good download manager for Mac OS X which would be helpful in download huge files such as those provided in the GE Quest? I have tried JDownloader but it fails immediately. When I try to download without a download manager, the download automatically terminates at say 90% and fails to extract. Any help would be much appreciated.",0,None,1,Fri Jan 04 2013 12:34:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3535,/competitions/flight,None
/ccccat,Watching paint dry,"This competition is good opportunity for meditation. Your create algorithm then you run it for days, observing slow progress while algorithm is trying to improve score. My machine allows me to run several instances simultaneously. Currently I am running three. They are the same algorithm which is trying to adjust both paths at the same time. Here is the progress: Blue and red have the same parameters , but started with different paths (red started later, when I got better initial paths). Green uses less deep search (currently it is second iteration). Each graph point corresponds to optimization of 1500 path points. It takes approximately 2h to optimize 1500 path points on both paths for red and blue and 40 min for green. My hope is just to break 6.6M before the end of the competition.",0,None,7,Sat Jan 05 2013 17:05:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3538,/competitions/traveling-santa-problem,9th
/geoffreydesmet,Does Santa need to return home?,Does Santa need to return home? So are both paths regular TSP problems or can Santa start from any position?,0,None,8,Sun Jan 06 2013 11:53:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3539,/competitions/traveling-santa-problem,101st
/martinthomas,Best Score in Python vs R,"I have been using Python and sklearn and I cannot get a score better than 0.7799 and I am wondering if anyone else with a better score has done so in Python. If so, did they use sklearn, some other third-party library or roll their own? I am new to data science so I cannot determine of the problem is with the data (maybe I need to add features, filter better.. something) or use the more functionally rich R. Feedback appreciated, thanks. Martin",0,None,3,Sun Jan 06 2013 18:25:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3540,/competitions/titanic,None
/vadnais,Real-time system,"It looks like the benchmark files do not respect the spirit of real time which, I thought, was an important objective of this project. The flightHistory file represents the status of the flights at the end of the day. Some data from that file (namely actual and scheduled times) are not available throughout the day; they become available in real time as events occur. Flights are not even known until a RecordCreated event occurs. In the PublicLeaderboardSet, there are two flights (281919861 on 11/28 and 281925858 on 11/29) in the benchmark file which don’t even appear in the flighthistoryevents file before cutoff time. Since they don’t have published times, it should not be possible to make any predictions until an event provides estimated (or scheduled) gate (or runway) departure (or arrival) time. One is enough, but you need at least one. Getting scheduled time(s) from the flightHistory file is cheating (and that is the only way to provide a reasonable guess in these cases). These flight don’t even have a Scheduled (S) status yet, so they cannot meet the rule requiring that they should be Active (A) at cutoff time. These are extreme cases, but some flights (about 30 a day) got a RecordCreated event, but no scheduled or estimated info before the cutoff time, if they didn’t have Published times in the flightHistory file, they cannot be predicted either and they are most probably not Active either. I don’t mind having to predict arrival times for non-Active flights, but the flight should at least have been identified by a RecordCreated event and have Published times or have received Scheduled or Estimated times through a subsequent event.",0,None,1,Sun Jan 06 2013 19:50:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3541,/competitions/flight,124th
/brianfeeny,Your thoughts on this search cut,"In their paper: COMBINING 2-OPT, 3-OPT AND 4-OPT WITH K-SWAP-KICK PERTURBATIONS FOR THE TRAVELING SALESMAN PROBLEM http://isd.ktu.lt/it2011//material/Proceedings/1_AI_5.pdf Blazinskas and Misevicius propose a search cut in section 2.2 and figure 2 shows an implementation in psuedocode. The gist of it is, that for example with 3-opt you do the following breaks: if A's nearest neighbor is already B goto next A (break) if C's nearest neighbor is already D goto next C (break) if E's nearest neighbor is already F goto next E (break) They mention they could use this for 2-opt just the same, and in fact the example they show in figure 2 is showing this on 4-opt. They propose this instead of doing Do not Look Bits (DLB) which is popular. FWIW, I tried to implement DLB and did not like it. Sure it cut down times, but I found it was too suboptimal. I was wondering anyones thoughts on this search cut suggestion? I may try to implement it and see how it does. They make mention of many other popular speed up's.",0,None,1,Sun Jan 06 2013 20:47:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3542,/competitions/traveling-santa-problem,46th
/genesiss,Pivot tables in R,"Hi, i was wondering if someone is aware of a R procedure that calculates pivot tables as in Excel example? Thank you.",0,None,2,Mon Jan 07 2013 18:26:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3550,/competitions/titanic,None
/zygmunt,A few machine learning courses,"If you are new to data science and machine learning, or you would like to solidify your knowledge, or just looking for inspiration, a good thing to do is to take an online course. It is more entertaining than reading a book, and usually there's some practice. I have posted a short description of currently available machine learning classes, most of which I have taken (or at least dipped a toe): http://fastml.com/machine-learning-courses-online/ Be sure to use the thank link below if you find it interesting.",21,silver,9,Mon Jan 07 2013 21:39:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3552,None,None
/dxyz46459,admins?,"There are a lot of questions floating around, could an admin address them please.",0,None,4,Tue Jan 08 2013 19:56:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3556,/competitions/flight,131st
/jclopez1,"Oh man, no tricorders? :(","Avoid submissions that require technology that doesn’t yet exist (e.g., advances in diagnostics, tricorders). It means i'll just need to invent the tricorder first, within the next 30 days. Then next, an EMH.",0,None,1,Tue Jan 08 2013 23:45:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3557,/competitions/hospital,None
/rkirana,Ben: Code to create test set from training,"Hi Ben, You were to post a mechanism to get test set from training. THere is no need for code from you - just tell us the logic that you use. For example, here is my R Code to create test from training: Here is what I am doing - however I see that the CV score for the most recent value of ERA/EGA also differs from public leaderboard score. This means that there is some additional logic to code below My Method: 1. remove flights that do not arrive/depart in US 2. remove flights that have an invalid form of datetime - either arrival or departure date 3. only flights that are in air at that time 4. remove flights whose gate_departure time is after runway_departure_time OR whose gate arrival is before runway arrival 5. use the same cutoff days as in the file What else is needed to be done? Thanks kiran cutoff_days <- read.csv (paste (cv_path, 'days.csv', sep='/'), header=TRUE, stringsAsFactors = FALSE) cutoff_days$cutoff_time <- as.POSIXct (cutoff_days$selected_cutoff_time, tz=""UTC"", format = ""%Y-%m-%d %H:%M:%S"", origin=""1970-1-1"" ) #myNms <- c (""flight_history_id"", ""departure_airport_code"", ""arrival_airport_code"", ""published_departure"", ""published_arrival"", ""scheduled_gate_departure"", ""scheduled_gate_arrival"", ""scheduled_runway_departure"", ""scheduled_runway_arrival"", ""actual_gate_arrival"", ""actual_runway_arrival"", ""actual_gate_arrival_mins"", ""actual_runway_arrival_mins"", ""airline_icao_code"",""departure_airport_icao_code"", ""arrival_airport_icao_code"", ""creator_code"", ""scheduled_aircraft_type"", ""actual_aircraft_type"", ""scheduled_air_time"", ""actual_gate_departure"", ""actual_runway_departure"") myNms <- c (""flight_history_id"", ""departure_airport_code"" , ""arrival_airport_code"", ""published_departure"" , ""published_arrival"", ""scheduled_gate_departure"" , ""scheduled_gate_arrival"", ""scheduled_runway_departure"", ""scheduled_runway_arrival"") for (myDate in test_dates) { print (paste (""for myDate"", myDate, sep="":"")) base_day_path <- paste (cv_path,myDate, sep=""/"") myList <- summarize_flight_history_day (base_day_path, test_day_path = NA) flighthistory <- myList [[1]] # remove flights that do not arrive and depart both in the US flighthistory_departs_from_us <- flighthistory$departure_airport_icao_code %in% us_icao_codes$icao_code flighthistory_arrives_in_us <- flighthistory$arrival_airport_icao_code %in% us_icao_codes$icao_code myRows <- which ((which(flighthistory_arrives_in_us == TRUE) & which(flighthistory_departs_from_us == TRUE)) == TRUE) flighthistory <- flighthistory[myRows,] # remove flights that have an invalid form of datetime - either arrival or departure date ignoreRows <- c(which (is.na (flighthistory$actual_gate_departure) == TRUE) , which (is.na (flighthistory$actual_gate_arrival) == TRUE) , which (is.na (flighthistory$actual_runway_arrival) == TRUE) , which (is.na (flighthistory$actual_runway_departure) == TRUE)) ignoreRows <- unique (ignoreRows) flighthistory <- flighthistory [-ignoreRows,] # only flights that are in air at that time flighthistory <- flighthistory [!is.na(flighthistory$actual_gate_arrival),] flighthistory <- flighthistory [!is.na(flighthistory$actual_runway_arrival),] # remove flights whose gate_departure time is after runway_departure_time OR whose gate arrival is before runway arrival ignoreRows <- c(which (flighthistory$actual_gate_departure > flighthistory$actual_runway_departure), which (flighthistory$actual_runway_arrival > flighthistory$actual_gate_arrival)) ignoreRows <- unique (ignoreRows) flighthistory <- flighthistory [-ignoreRows,] flighthistory$cutoff_time <- as.POSIXct (cutoff_days [cutoff_days$folder_name == myDate, ""selected_cutoff_time""], tz=""UTC"", format = ""%Y-%m-%d %H:%M:%S"", origin=""1970-1-1"" ) testflighthistory <- flighthistory [flighthistory$actual_gate_arrival >= flighthistory$cutoff_time,] write.csv (x=testflighthistory[,myNms] ,file=paste (cv_path, myDate, ""test_flights_new.csv"", sep= ""/""), row.names = FALSE) }",0,None,2,Wed Jan 09 2013 07:54:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3559,/competitions/flight,18th
/rkirana,R code to create test set from training,"cutoff_days <- read.csv (paste (cv_path, 'days.csv', sep='/'), header=TRUE, stringsAsFactors = FALSE) cutoff_days$cutoff_time <- as.POSIXct (cutoff_days$selected_cutoff_time, tz=""UTC"", format = ""%Y-%m-%d %H:%M:%S"", origin=""1970-1-1"" ) #myNms <- c (""flight_history_id"", ""departure_airport_code"", ""arrival_airport_code"", ""published_departure"", ""published_arrival"", ""scheduled_gate_departure"", ""scheduled_gate_arrival"", ""scheduled_runway_departure"", ""scheduled_runway_arrival"", ""actual_gate_arrival"", ""actual_runway_arrival"", ""actual_gate_arrival_mins"", ""actual_runway_arrival_mins"", ""airline_icao_code"",""departure_airport_icao_code"", ""arrival_airport_icao_code"", ""creator_code"", ""scheduled_aircraft_type"", ""actual_aircraft_type"", ""scheduled_air_time"", ""actual_gate_departure"", ""actual_runway_departure"") myNms <- c (""flight_history_id"", ""departure_airport_code"" , ""arrival_airport_code"", ""published_departure"" , ""published_arrival"", ""scheduled_gate_departure"" , ""scheduled_gate_arrival"", ""scheduled_runway_departure"", ""scheduled_runway_arrival"") for (myDate in test_dates) { print (paste (""for myDate"", myDate, sep="":"")) base_day_path <- paste (cv_path,myDate, sep=""/"") myList <- summarize_flight_history_day (base_day_path, test_day_path = NA) flighthistory <- myList [[1]] # remove flights that do not arrive and depart both in the US flighthistory_departs_from_us <- flighthistory$departure_airport_icao_code %in% us_icao_codes$icao_code flighthistory_arrives_in_us <- flighthistory$arrival_airport_icao_code %in% us_icao_codes$icao_code myRows <- which ((which(flighthistory_arrives_in_us == TRUE) & which(flighthistory_departs_from_us == TRUE)) == TRUE) flighthistory <- flighthistory[myRows,] # remove flights that have an invalid form of datetime - either arrival or departure date ignoreRows <- c(which (is.na (flighthistory$actual_gate_departure) == TRUE) , which (is.na (flighthistory$actual_gate_arrival) == TRUE) , which (is.na (flighthistory$actual_runway_arrival) == TRUE) , which (is.na (flighthistory$actual_runway_departure) == TRUE)) ignoreRows <- unique (ignoreRows) flighthistory <- flighthistory [-ignoreRows,] # only flights that are in air at that time flighthistory <- flighthistory [!is.na(flighthistory$actual_gate_arrival),] flighthistory <- flighthistory [!is.na(flighthistory$actual_runway_arrival),] # remove flights whose gate_departure time is after runway_departure_time OR whose gate arrival is before runway arrival ignoreRows <- c(which (flighthistory$actual_gate_departure > flighthistory$actual_runway_departure), which (flighthistory$actual_runway_arrival > flighthistory$actual_gate_arrival)) ignoreRows <- unique (ignoreRows) flighthistory <- flighthistory [-ignoreRows,] flighthistory$cutoff_time <- as.POSIXct (cutoff_days [cutoff_days$folder_name == myDate, ""selected_cutoff_time""], tz=""UTC"", format = ""%Y-%m-%d %H:%M:%S"", origin=""1970-1-1"" ) testflighthistory <- flighthistory [flighthistory$actual_gate_arrival >= flighthistory$cutoff_time,] write.csv (x=testflighthistory[,myNms] ,file=paste (cv_path, myDate, ""test_flights_new.csv"", sep= ""/""), row.names = FALSE)",2,bronze,3,Wed Jan 09 2013 07:55:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3560,/competitions/flight,18th
/illuminanti,Submission format,"Hi, The benchmark files have only three columns, each row corresponding to a distinct flight ID. The for which this prediction has been made is not mentioned. In the submission file for a prticular flight which day should the prediction of actual flight gate and arrival time correspond to ? Should there be 15 files for the 15 days of the test set ?",0,None,1,Wed Jan 09 2013 10:37:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3561,/competitions/flight,None
/dieselboy,Test set and Titanic history,"Dear Kaggle community this is my first post for my first competition, so please forgive me if it is a naive question. Since the Titanic deaths are a piece of history, one can find all details about the passengers online, including the target variable of interest survived , e.g. [Link]:http://www.encyclopedia-titanica.org/titanic-victims/ If one makes a submission consisting only of 0's and 1's for the test set passengers, how can the competion organizer be sure that this was the output of a machine learning model, and not just a quick hack with internet fact checking. Is the test set, or the hidden test set, somehow randomizing the passenger details? Or is it synthetic, toy data set? Of course, I love a fair data mining challenge and would myself try to be honest, but how can I be sure what the other competitors did and whether the leaderboard is compromised? best regards Nikolay",0,None,7,Wed Jan 09 2013 15:00:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3562,/competitions/titanic,None
/palashsashittal,What is Legacy route ?,Could someone please explain what the legacy route is in asdiflightplan.csv and what is the format used ?,0,None,2,Wed Jan 09 2013 17:50:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3564,/competitions/flight,None
/del=4e191bb6982745b7,Coding a Random Forest,I'd like to code this myself instead of using a package so I can fully configure it. Any tips?,4,None,14,Thu Jan 10 2013 04:14:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3567,/competitions/digit-recognizer,None
/del=6de247a92b89f2a0,Final Grade File and EMH Value,"Hi, While working through the file 2011_final_grade.csv file I found some variables in the EMH column to contain the value ""A"". I couldnt find that value described anywhere- does anyone know what it means? There seemed to be some correlation with the value A and it being a combined school.. but I just want to get a definitive answer before I start encorporating it into analysis. Thanks!",1,None,3,Thu Jan 10 2013 07:11:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3568,/competitions/visualize-the-state-of-education-in-colorado,None
/dxyz46459,admins: flights that have landed in test set,"There are fights in the PLB set, which have a flight history event which reports that the STATUS is L or Wheels down prior to the cutoff. But then the ARA is subsequently adjusted so that they make it into the test set. It is hard to consider these flights to be in the air. Will there be flights like this in the final test set?",2,bronze,1,Thu Jan 10 2013 13:55:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3571,/competitions/flight,131st
/geoffreydesmet,What's wrong with my distance function?,I get a different distance in my app than in the kaggle leaderbord. Am I doing anything obviously wrong? double latitudeDifference = city.latitude - latitude; double longitudeDifference = city.longitude - longitude; double distance = Math.sqrt( (latitudeDifference * latitudeDifference) + (longitudeDifference * longitudeDifference)); return (int) (distance + 0.5);,0,None,3,Thu Jan 10 2013 22:33:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3572,/competitions/traveling-santa-problem,101st
/alkhwarizmi,Evaluation,How are the submissions evaluated?,0,None,9,Fri Jan 11 2013 03:23:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3575,/competitions/event-recommendation-engine-challenge,None
/benhamner,event_popularity_benchmark.csv updated,"Just realized the event_popularity_benchmark.csv was an old version of the file that wouldn't get scored properly. I've uploaded a corrected version. If you had trouble submitting this benchmark, download it again and it should work!",0,None,3,Fri Jan 11 2013 05:43:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3576,/competitions/event-recommendation-engine-challenge,118th
/herrahuu,Timestamp,"What is the meaning of ""timestamp"" column in train&test.csv files? It's not mentioned in data description page.",0,None,4,Fri Jan 11 2013 16:52:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3577,/competitions/event-recommendation-engine-challenge,None
/tritonsd,Final event recommendations,"Based off the benchmark code, do we just need rank events that are in test set for that user? Also, user event pair in test set will not come up in event-attendees right? Asking questions to understand the problem. Thanks in advance.",0,None,3,Sat Jan 12 2013 01:00:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3578,/competitions/event-recommendation-engine-challenge,5th
/wcukierski,Fog of war is now off!,"Feel free to discuss this competition in the forums, write blog posts, etc.",0,None,1,Sat Jan 12 2013 03:49:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3580,/competitions/facebook-ii,None
/jsradford,Word Diversity,"Hi, I'm wondering how diverse the community is. I've created an events recommendation system for my university and this data seems really oddly uniform for such a corpus. Looking at the dispersion of top 100 words versus other words, it seems that the top 100 are on an order of magnitude more prevalent that the other words. This is not necessarily unusual given the distribution of words in texts generally; but, in some texts, the same word occurs upwards of 600 times in a single description. Assuming you're filtering out an extended list of stopwords, this distribution indicates a very unified field of events where everyone is focused on the same concepts. Are we trying to predict event attendance in a field where everyone can interpret an event at a very specific, professional level (using the >100 subtle words to figure out the difference between, say, entrepreneurship and social entrepreneurship) or are these somehow more random events where people from very different backrounds coalesce around nonprofit versus enterprise, for example? This matters for wieghting the importance of the top 100 words versus the network connectivity of individuals within events. I could try to figure this out with some tests of relative weights, but I fell like that's a really unnecessary sidetrack for the ultimate goal of creating a working event recommendation system. Really, what would be most helpful is some general description of the business model. Is the site focused on and attracting people within a narrow field of common events or is the site trying to connect people in different fields? I would suspect the former given the comparative distributions, but would be really interested in what the actual words are coming from a population built around the latter. All the Best, Jason",0,None,2,Sat Jan 12 2013 06:20:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3581,/competitions/event-recommendation-engine-challenge,None
/tafkas,Final project reports from 2012 Stanford Machine Learning class,"Some of the projects are looking really interesting: http://cs229.stanford.edu/projects2012.html If you want to download all reports at once, there is a zip archive at: http://ul.to/6wix6k9y",17,gold,2,Sat Jan 12 2013 16:24:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3584,None,None
/brett7,An odd date,"I haven't had a chance to look over everything, but there's a date in the events.csv that was in 1912 (line #1045210). Is this a typo, or should we account for oddities like this to crop up in the final model? Thanks, -Brett",0,None,4,Sun Jan 13 2013 04:40:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3586,/competitions/event-recommendation-engine-challenge,24th
/tiffany3,Final product?,"Hi, Out of curiosity, are you more interested in visualizations that would appear online (and are interactive) or in print (and make sense without hovering or clicking on anything)?",0,None,1,Sun Jan 13 2013 06:36:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3587,/competitions/visualize-the-state-of-education-in-colorado,None
/arunraj0,Can we use D3 here,"Hai, I can findout many free / open source charting tool kit available in the internet. 1 ) can i use D3.js ? 2 ) can I use other opensource web charing tools ?",0,None,1,Sun Jan 13 2013 11:50:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3588,/competitions/leapfrogging-leaderboards,None
/ppershing,When is the end of the competition?,"Citing the problem statement ""The competition will end at the end of the day UTC on January 18"". But at the end of that page, there is ""Ends: 12:00 am, Friday 18 January 2013 UTC (34 total days)"" and the coundown is consistent with this value. So, is the end of the competition at the beginning of January 18 or at the end?",0,None,3,Sun Jan 13 2013 14:36:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3589,/competitions/traveling-santa-problem,1st
/tritonsd,Most users in event_attendees.csv are not in users.csv,"It looks like most users in (yes,maybe,invited,no) in event_attendees.csv do not exist in users.csv. Is this a processing error?",0,None,1,Mon Jan 14 2013 04:53:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3591,/competitions/event-recommendation-engine-challenge,5th
/bram278806,Hometown is empty for every user,users.csv contains demographic data about our some of our users... location and hometown are strings representing the user's current location and hometown (if known). hometown is always empty. Is this normal?,0,None,1,Mon Jan 14 2013 11:03:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3592,/competitions/event-recommendation-engine-challenge,178th
/rkirana,Problem with anonymous teams,not possible to create anonymous team with my login. Having this problem across competitions. IT error? admins - can you fix?,0,None,1,Tue Jan 15 2013 05:50:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3599,/competitions/traveling-santa-problem,None
/ahajja,Order of events in the train file,"Simple question, It's clear to me that the objective of the competition is to rank the events for each user from 'most interested' to 'least interested'. However, I still have a question about 'train.csv' file. Are the events for any particular user ordered from 'most interested' to 'least interested' as well? Or is it the case that the only information that we can get form the 'train.csv' is that whether a particular user was interested or not interested of an event? Bonus question :). When you evaluate our answers, don't you have to have the correct ordering (again, from 'most interested' to 'least interested') for every user in the 'train.csv'? Just curious, how did you get that info? Did you ask users to rank/order events? Thanks Cheers, Ayman",0,None,2,Tue Jan 15 2013 06:01:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3600,/competitions/event-recommendation-engine-challenge,202nd
/amitgoyal0,Format of the files?,"I am new here. It seems I am missing something here. Can someone explain me the format of the files? 1. In ""santa_cities.csv"", I assume each row represents one city. But what are ""x"" and ""y""? Can we say that the distance b/w two cities is \sqrt((x1-x2)^2 + (y1-y2)^2) ? Or do they represent something else? 2. What is the format of ""random_paths_benchmark.csv""? What does each row represent? Thanks.",0,None,1,Tue Jan 15 2013 06:41:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3601,/competitions/traveling-santa-problem,342nd
/ppershing,Nothing is lost yet - join fights over the top positions,"Watching firece fight between Rudolph and Wleite? Well, don't just watch, join them, there is still time! Yesterday we tried our current solution on the initial paths of size 7.1M and we were able to beat Wleite (current 2nd place) just after 27 hours of run (and it could have been even faster because we noticed that one part of our solution is a bottleneck when there is a lot of improvements available). So even if you are at the bottom half of the leaderboard, having a few good ideas can shuffle the cards significantly.",1,bronze,6,Tue Jan 15 2013 08:10:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3602,/competitions/traveling-santa-problem,1st
/bram278806,More attendees than invitees,"event_attendees.csv contains many rows where the number of attendees is higher than the number of invitees. How is this possible?For example, event 1762141625:invited: 1; yes: 10; maybe: 10; no: 97",0,None,1,Tue Jan 15 2013 12:11:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3603,/competitions/event-recommendation-engine-challenge,178th
/d3potf,Is the scoreboard user specific,"Can we have the scoreboard be created about the person logged in, as opposed to the same identical view for all?",0,None,2,Tue Jan 15 2013 12:30:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3604,/competitions/leapfrogging-leaderboards,None
/weizhang0,"What is the meaning of ""no"" in event_attendees.csv?","Is it the case that all users other than those in ""yes"" column did not attend the event? If so, why we have a ""no"" column? Also, I am not sure the meaning of ""maybe"".",0,None,6,Tue Jan 15 2013 14:15:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3605,/competitions/event-recommendation-engine-challenge,65th
/aerokgp,User_Friend Spreadsheet!!,There are multiple entries in user column of user_friend speradsheet ( As many as 1549). Does it mean that these many users have same common friends ( Doesn't seem correct to me) or something else?,0,None,3,Tue Jan 15 2013 19:47:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3607,/competitions/event-recommendation-engine-challenge,None
/taco32535,Deadline?,"Could someone tell me when the exact deadline is? I've been busy so I don't have that much time to finish... I know it says Saturday Jan 19, 2013. Is it 12 am? Thanks!",1,bronze,7,Wed Jan 16 2013 00:30:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3609,/competitions/visualize-the-state-of-education-in-colorado,None
/wcukierski,Availability of contest data,"The competition organizers have asked that we take down the data set. We apologize for the inconvenience, but are unable to provide the data to the public at this time.",2,None,11,Wed Jan 16 2013 22:00:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3611,/competitions/dunnhumbychallenge,4th
/brendankelly,Visualization Software?,"Hey, this is my first post here but I was wondering if anyone had any suggestions for good software or web tools to create visualizations. Thanks!",0,None,5,Wed Jan 16 2013 23:12:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3612,None,None
/richardfromholland,Reading in event_friends.csv into R,"I use R I have trouble reading in a.o. the user_friends.csv file. If I use read.csv() I get two colums: One of type numerical and the other of type character. The first one is the user-id, the second is the list of all her friends. I use scan() to split up the second colum into individual user id's but that takes a very significant amount of time. Does anybody know a faster way? Can you post a snippet of code? Thanks",1,None,2,Thu Jan 17 2013 02:30:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3614,/competitions/event-recommendation-engine-challenge,None
/lss80788,Training and Test Data,"Sorry if my question will seem a little stupid, but I joined just 2 days and will be happy if someone can help. 1. First of all I want to understand what are out training and test datas. Am I right that we should develop our model based on ""Initial Training Set"" and than test it based on ""Public Leaderboard Set"" 2. Whar the files ""cutoff_benchmark.csv"" ""scheduled_arrivel _benchmark.csv"" and ""estimated_arrival_benchmark_rev1.csv"" are showing? Why we need them?",0,None,1,Thu Jan 17 2013 09:57:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3616,/competitions/flight,None
/weizhang0,"Every user in ""train.csv"" is not in ""test.csv""!","Every user in ""train.csv"" is not in ""test.csv""! why is that?",0,None,2,Thu Jan 17 2013 12:30:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3617,/competitions/event-recommendation-engine-challenge,65th
/dxyz46459,ground truth for flights that will be removed from PLB,"Ben, you mentioned a file for the existing PLB set for diverted/redirected and other flights we will not be predicting (landed before cutoff) could you supply the file please.",0,None,1,Fri Jan 18 2013 01:43:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3621,/competitions/flight,131st
/drivetheresult,Weather Data Specification,"Dear Moderator, can you please provide the format for the weather station file. Can you please explain the difference between Cutoff_benchmark file and estimated_arrival file. Are these the expected values for the given Scheduled_arrived file Thanks Kiran",0,None,1,Fri Jan 18 2013 02:46:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3622,/competitions/flight,172nd
/clauchau,Has anybody tried to find the real optimum of small subpaths ?,"In order to improve the two disjoint paths, one might remove some edge A-B that looks like it might be largely improved, select the set of say 10 or 20 cities that are nearest to A, remove any edge from the two disjoint paths with both ends in the selected set union {A, B}, and find the best way to reconnect the two disjoint paths by some exhaustive backtracking search. I think it can easily be done with a short execution time, by early detecting choices of edges that prevent any future improving choice of edges from another city in the set.",0,None,6,Fri Jan 18 2013 14:57:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3631,/competitions/traveling-santa-problem,247th
/dchudz,congratulations!,"The random prizes: 1st: Farmers peeing further 2nd: Rudolph The end-of-competition prizes: 1st: Farmers peeing further 2nd: wleite As described in the rules, all winners should post their code publicly with an open source license. Congratulations to everybody. I'm glad this made for a fun contest. import random#the seed is the integer formed from concatenation of the two digits after the decimal point of the #Dow Jones Industrial Average open, high, low, and close (in that order) #Retrieved on 1/18 at 11pm (US Pacific)seed = 95988198random.seed(seed) day = random.randrange(26)print day#day is 11. That would be midnight UTC on Monday, Jan 3.",1,bronze,10,Sat Jan 19 2013 08:13:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3634,/competitions/traveling-santa-problem,None
/shravanaaadithrb,What tools do people generally use to solve problems?,"Hi, I am new to Machine Learning. Most of my learning on the subject has been theoretical. Looking at Kaggle to get some practical exposure. I'm curious to know what are the general practices people follow towards solving problems? Do they usually code up the algorithms as required (which looks like a very slow approach but could give very valuable understanding) or do they generally use tools like Weka to solve the problems (which could help focus on behaviour of various algorithms as against the implementation aspects)? Also, whats the general practice in the industry? Is it common to come across hand-crafted solutions or do people usually resort to tools? From my limited search, it appeared that the tools available out there are quite primitive. Would like to know what are the most popular tools used to solve ML problems.",0,None,7,Sat Jan 19 2013 13:31:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3635,/competitions/digit-recognizer,None
/joexjmmvhm,can estimated_arrival_benchmark_rev1 data be used in our predictive model?,"I have a question about estimated Arrival Time data provided: Can we use it within our model? Either as a fall back when we can not make an accurate prediction with our predictive model, or as an attribute in our predictive model?",0,None,1,Sat Jan 19 2013 15:03:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3636,/competitions/flight,121st
/yetiman,"Discrepancy on ""User"" page","I don't look at my ""user"" listing very often, but I wanted to see if I had finished in ""Traveling Santa's"" top 25% and figured that would be the quickest way. While there I noticed that - for the 3 competitions I have entered as YetiMan - I'm listed as having two ""top 10%"" and one ""top 25%"". While this is technically true, one of those ""top 10%"" finishes was the Census challenge, in which I took 1st prize (but finished 3rd overall). Whether you count it as 1st or 3rd, shouldn't that still be listed as a ""Prize Winner"" and not a ""top 10%"" (since the top 3 contestants won prizes)? In case you're curious: I did finish in ""Traveling Santa's"" top 25%, not bad for the ~15 hours I spent experimenting and writing code. I have a long-standing theory that you can place in the top third of most competitions without exerting yourself too much - as long as you start out with that as your goal and make decisions accordingly. A bit like playing for a draw rather than a win in chess.",0,None,3,Sat Jan 19 2013 15:17:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3637,None,None
/harishgp,"MAP evaluation (when 0,0) ","Hi, Does the true value for the interested and not-interested fields take 0,0 in the test set? If so, how is the MAP evaluated. Thanks, Harish.",0,None,2,Sat Jan 19 2013 17:13:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3638,/competitions/event-recommendation-engine-challenge,6th
/richardproctor,A Radically Different Approach To Santa,"A month ago my son introduced me to the Travelling Santa Problem on Kaggle. We discussed it for several hours/days. Looking at the Travelling Salesman Problem page on Wikipedia, we concluded that an Ant Colony Optimisation (ACO) could be adapted to the double disjoint problem presented by Kaggle. Looking at the methods posted here by others and realising that ours was very very different, I present what we did: [Link]:http://wavwebs.com/try/BigSanta/tsp.html Enjoy!",1,bronze,2,Sat Jan 19 2013 21:05:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3639,/competitions/traveling-santa-problem,140th
/shravanaaadithrb,What tools do people generally use to solve problems?,"Hi, I am new to Machine Learning. Most of my learning on the field has been theoretical. Looking at Kaggle to get some practical exposure. I'm curious to know what are the general practices people follow towards solving problems. Do they usually code up the algorithms as required (which looks like a slow approach but could give invaluable understanding) or do they generally use tools like Weka to solve the problems (which could help focus on behaviour of various algorithms as against the implementation aspects)? Also, whats the general practice in the industry? Is it common to come across hand-crafted solutions or do people usually resort to tools? From my limited search, it appeared that the tools available out there are quite primitive. Would like to know what are the most popular tools used to solve ML problems.",214,None,269,Sun Jan 20 2013 08:46:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3642,None,None
/pranavkarnavat,Usage of Software,"Hello, I want to know whether there is restriction in using any type of software? I can use any software for analysis right? Thanks Pranav",0,None,1,Sun Jan 20 2013 12:30:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3644,/competitions/event-recommendation-engine-challenge,None
/ydhiman,Importing events,"events<-read.table(""events.csv"",header=T,sep="","") Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 3349 did not have 110 elements Problem in importing the huge file . What Mistake I am making ...",0,None,1,Sun Jan 20 2013 13:31:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3645,/competitions/event-recommendation-engine-challenge,None
/photosynth,Sasquatch (simple) solution,"Not as interesting as the winning team's many methods, but FWIW I've decided to write a summary of my solution. First part is online at http://recursivegoose.blogspot.com/.",4,bronze,1,Mon Jan 21 2013 08:25:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3646,/competitions/traveling-santa-problem,5th
/aerokgp,No Submission by any team???,Not able to see any entry? Will final submission will be shared ( Visualizations!!! ),0,None,1,Mon Jan 21 2013 15:03:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3648,/competitions/visualize-the-state-of-education-in-colorado,None
/vigneshprajapati,Count column in events.csv,"Hello folks, I am not able to understand the meaning of last 101 columns in events.csv file. which are as count_1, count_2, ..., count_100, count_other. Thanks,",0,None,2,Mon Jan 21 2013 15:16:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3649,/competitions/event-recommendation-engine-challenge,125th
/taco32535,Winners?,Any idea on when the winners will be announced?,0,None,3,Mon Jan 21 2013 15:33:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3650,/competitions/visualize-the-state-of-education-in-colorado,None
/chrisnunes,Need Help Editing Submission,"Hello- I submitted an entry for Milestone 1, but cannot figure out how to modify/improve it for Milestone 2. I have logged in, have clicked on my own submission, but the Edit and Delete buttons are not functional. I have also tried to enter through the Create a Submission link, and the system shows me a notice that ""i (info) - found an existing draft submission"" but no details about my submission or how to edit it. Help? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/5548/Screenshot Create Submission GE Hospital Quest GE Quest.png",0,None,1,Mon Jan 21 2013 18:49:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3651,/competitions/hospital,None
/wleite,Source code of the prize winners,"Finishing in 2nd place, I was required to publish my source code. It is kind of embarrassing compared to the detailed and amazing explanation provided by the winner team, but I will try to share the main points of my approach below. I use only simple code written by me (a single Java file attached, with about 1,400 lines). This may be a disadvantage is this kind of competition, but a major part of the fun for me is building everything from the scratch, although usually suboptimal :-) The main methods of my solution are: 1) buildNearestNeighbor(): build an initial solution using nearest neighbor. At the end of this step and during all the other steps the solution must remain valid, i.e., connect all points without using a connection between a pair of points more than once. 2) moveSegments(): remove a segment (with one or more consecutives edges) and try to fit it somewhere else. 3) breakAndReconect(): remove few edges from the same path and try to reconnect them in a different order (checking all permutations). 4) moveEnds(): try to move the endpoints. 5) fixRegion(): similar to breakAndReconnect, but working with the two paths at the same time. It uses a lot of pruning to avoid useless permutations. Other observations: The “movements” methods (2, 3 and 5) can all be tuned, changing the number of neighbors to consider, running time, enable/disable Simulated Annealing (SA) and its temperature, etc. It seems that SA helped a lot. Although methods 2 and 3 only work with one path at a time, they check, when there a movement that will improve the solution that can’t be made because of a single connection that is already in use by the other path, if there is a simple movement that “releases” this connection with a cost smaller than the gain of the first movement. From time to time, if improvements have been found, it saves the new solution to a file, which can be loaded in the next execution. Usually I ran 3 or 4 instances with different parameters during the night and took the best one on the next day to continue from there. There is an auxiliary method that I called “equalize()” which swaps a pair of edges between the paths, making their length similar. For example: IF path 0 is : ... - A - B - ... - C - D - ... and path 1 is ... - A - C - ... - B - D - ... AND len(path 0) > (len path 1) AND (dist(A,B) + dist(C,D)) > (dist(A,C) + dist(B,D)) THEN inverting everything between B-C in both paths is a valid movement that usually will make the length difference smaller. This helped a lot because before implementing it I couldn’t control the big gap that other random movements were generating. So the goal was simplified to optimize any path, not only the longest one, because it was easy to equalize their length. It also shuffles things a little bit, and that helped other methods finding improvements, so it was called from time to time. I kept a list of nearest neighbors for each point using a 4-quadrant division (it took the closest point of each quadrant and ordered them by distance, then the second closest and so on). Running the attached code, as it is (with the hard coded parameters), allowing 3 hours (one hour for each of the mains steps - 2, 3 and 5), gives a score around 6,580,000. The rest of the gain came from running for a longer time and running again and again with different parameters. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/5549/TSSolver.java",4,bronze,5,Mon Jan 21 2013 18:59:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3652,/competitions/traveling-santa-problem,2nd
/issamlaradji,Takes forever to read events.csv,"Hi people! I am wondering if some of you had any performance issues in reading event.csv since it is a very large file. Is it because I am using pandas-python package that it is taking a very long time to read the ""event.csv"" file and eventually freezes my computer? Or perhaps the amount of RAM I have which is only 4 GB? Your helpful suggestions on how to cope with such large .csv files will be greatly appreciated! Thanks a lot!",0,None,4,Tue Jan 22 2013 14:17:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3662,/competitions/event-recommendation-engine-challenge,None
/weizhang0,Who send the invitation? The website or the event creator?,Who send the invitation? The website or the event creator? Thanks!,0,None,5,Tue Jan 22 2013 16:22:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3663,/competitions/event-recommendation-engine-challenge,65th
/kanov51302,Can a resident of Belarus participate in this competition?,Thanks.,0,None,1,Tue Jan 22 2013 19:03:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3666,/competitions/hhp,None
/yelongking,Relationship between interested and event_attendees,"User could click ""interest"" to indicate he like the event, and ""not interested"" to dislike the event. But I am wondering that is it the same schema for indicating user attendees? i.e, there are three buttons to indicate the user will attend the event, or ""maybe"", or ""not"". If this is the case, I have three scenarios, I do not know which one is corret. The first one : The user clicked the ""interest"" button first, and then he was asked to answer whether he would attend the event or not. The second one: The user clicked ""Yes, I wanta to attend the event"" first, then after the event happened for several days later, The user was asked to answer that whether he feels good ""interest"" or not (""not interest""). The third one: The user can click ""interested"", ""not interested"" and ""Yes,"" ""maybe"", ""not"" at the same time. If so, why I could not see any user who ""interested"" in some event and also ""attend"" it in the dataset",0,None,4,Tue Jan 22 2013 21:36:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3667,/competitions/event-recommendation-engine-challenge,59th
/shk47741,asdipoistion.csv data for PublicLeaderboardSet,"Hello Out of the 26459 flights to be predicted, it seems that about half of them have no position record available in asdiposition.csv I get that the position data should be filtered so that it doesn't reveal the actual arrival times, but I didn't expect that half of them will have absolutely no position record available.. Since the flights to be predicted are already in air, shouldn't there be at least one for each flight? If this was something intentional, can you confirm that it will be similar for the final evaluation set as well? or am I missing something? Thank you in advance",0,None,2,Wed Jan 23 2013 20:16:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3677,/competitions/flight,21st
/cheepychappy,External Data,"I know that we are not allowed to look up additional information about the passengers, but does this exclude the use of any external data? For example, can we use the deckplans of the boat (i.e. cabin and stairwell locations) which are specific to the boat? Another example, which does not rely on anything Titanic-specific, would be the use of a database (such as census data) that could provide nationality/ethnicity information based on the names included in the passenger lists.",0,None,1,Wed Jan 23 2013 23:13:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3679,/competitions/titanic,None
/adlabs1,Is it necessary to script an app in a programming language?,"i want to know whether it is necessary to script an app in any sripting platform or we can just post the idea, algorithm and functionality of that app without going into the detail of programming.",0,None,1,Thu Jan 24 2013 13:02:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3681,/competitions/hospital,None
/wistuba,departure_airport_code in flighthistory.csv,"The departure_airport_code in flighthistory.csv is expected to be 3 characters long, isn't it? In few cases it's 4 characters long and equals the icao code. Same for arrival_airport_code.",0,None,1,Thu Jan 24 2013 13:37:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3682,/competitions/flight,None
/taehokim,Kaggle as an academical achievement,"Hi, I'm who loves data analytics, machine learning and Kaggle. I've learned machine learning and I just entered in graduate school, my lab usually treat multimedia signals. but what I really interested in is anonymous signals which is same as what Kaggle treats. I have one question, I know that multimedia signals such as sound or vision has its own academical society, and annually the research outcomes are accumulated. but I'm not sure that if I make some results in Kaggle, can it be an officially academical result? I'm wondered since data is given from the client, and I might have no permission to use it. I want to be a data analyst who solves the clients problem with data analytic skills, and in the meantime now i'm in graduate school, I need some academical result to achieve degree.",0,None,2,Fri Jan 25 2013 10:15:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3685,None,None
/gabrielfranco,Problemas com QDA,"Oi, pessoal. Estou tendo problemas pra rodar QDA no R. Ao ajustar a função qda(V1 ~ .) ele retorna o seguinte erro: ""Erro em qda.default(x, grouping, ...) : some group is too small for qda"" Vocẽs encontraram o mesmo problema? Joguei isso no Google e não achei nada de interessante... E tanto faz se usar o conjunto completo (n=400) ou um subconjunto dos dados. Eu já fiz QDA com 351 no semestre passado e não deu esse problema.",0,None,2,Fri Jan 25 2013 18:47:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3687,/competitions/classifica-o-de-d-gitos-escritos-a-m-o,8th
/benhamner,Welcome,We're excited to launch this competition with [Link]:http://fastiron.net/ as the second one with the new [Link]:https://www.kaggle.com/StartupProgramApplication/! A representative from Fast Iron will be available to answer any questions you have on the forums. Good luck! Ben,3,bronze,1,Fri Jan 25 2013 19:14:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3688,/competitions/bluebook-for-bulldozers,None
/salimali,Auction Specific Location,"We have the auctioneerID, State and Date, but is there a field that identifies the specific auction venue? (How would we know what machines were in the same specific auction - which is important to measure supply) Is there any info on the method of auction? ie physically have to be there, internet, mixture of both? (important to measure demand)",0,None,2,Fri Jan 25 2013 21:17:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3690,/competitions/bluebook-for-bulldozers,None
/fastiron,Introduction,Hi everybody! Thanks for showing interest in our competition. I look forward to answering any questions you have. Please allow 12 hours for me to track down the responses. I may need to reach out to other members of our team to get specific answers. Good luck!,0,None,2,Fri Jan 25 2013 22:15:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3692,/competitions/bluebook-for-bulldozers,None
/sashikanthdareddy,SQL script to load data into PostgreSQL,"I would be doing my data manipulation in PostgreSQL and have created the following code to load data into a database. Feel free to use it. [code] -- Database: ""Bulldozer"" -- DROP DATABASE ""Bulldozer""; CREATE DATABASE ""Bulldozer"" WITH OWNER = postgres ENCODING = 'UTF8' TABLESPACE = pg_default LC_COLLATE = 'English_United Kingdom.1252' LC_CTYPE = 'English_United Kingdom.1252' CONNECTION LIMIT = -1; show datestyle; --datestyle=Postgres, DMY --since dates in the training set provided are in MDY format temporarily change the datestyle to be MDY; SET DATESTYLE TO POSTGRES, MDY; --now datestyle=Postgres, MDY /* Create Raw_train table to hold the training data provided*/ --drop TABLE RAW_TRAIN; CREATE TABLE RAW_TRAIN ( SalesID INT primary key ,SalePrice INT ,MachineID INT ,ModelID INT ,datasource INT ,auctioneerID INT ,YearMade INT ,MachineHoursCurrentMeter INT ,UsageBand varchar(6) ,saledate date ,fiModelDesc varchar(19) ,fiBaseModel varchar(13) ,fiSecondaryDesc varchar(19) ,fiModelSeries varchar(11) ,fiModelDescriptor varchar(14) ,ProductSize varchar(14) ,fiProductClassDesc varchar(64) ,state varchar(14) ,ProductGroup varchar(3) ,ProductGroupDesc varchar(19) ,Drive_System varchar(16) ,Enclosure varchar(19) ,Forks varchar(19) ,Pad_Type varchar(19) ,Ride_Control varchar(19) ,Stick varchar(8) ,Transmission varchar(19) ,Turbocharged varchar(19) ,Blade_Extension varchar(19) ,Blade_Width varchar(19) ,Enclosure_Type varchar(19) ,Engine_Horsepower varchar(8) ,Hydraulics varchar(19) ,Pushblock varchar(19) ,Ripper varchar(19) ,Scarifier varchar(19) ,Tip_Control varchar(19) ,Tire_Size varchar(19) ,Coupler varchar(19) ,Coupler_System varchar(19) ,Grouser_Tracks varchar(19) ,Hydraulics_Flow varchar(19) ,Track_Type varchar(6) ,Undercarriage_Pad_Width varchar(19) ,Stick_Length varchar(19) ,Thumb varchar(19) ,Pattern_Changer varchar(19) ,Grouser_Type varchar(6) ,Backhoe_Mounting varchar(19) ,Blade_Type varchar(19) ,Travel_Controls varchar(19) ,Differential_Type varchar(12) ,Steering_Controls varchar(19) ); create index MachineID_IDX on raw_train using btree(MachineID asc); /*read from csv file*/ COPY RAW_TRAIN from 'E:/Bulldozer/Train.csv' DELIMITERS ',' CSV header quote '""'; /*Create a table with the same table definition as train, to hold validation data*/ --drop table raw_valid ; create table raw_valid (like raw_train); Alter table raw_valid drop SalePrice;/*Droping Salesprice column since leaderboard validation sample does not have this column*/ create index MachineID_vIDX on raw_valid using btree(MachineID asc); /*read from csv file*/ COPY RAW_valid from 'E:/Bulldozer/Valid.csv' DELIMITERS ',' CSV header quote '""'; --set datestyle back to UK Style SET DATESTYLE TO POSTGRES, DMY; /*create table to hold MachineID_Appendix*/ --drop table machineid_appendix; create table machineid_appendix ( MachineID INT primary key , ModelID INT , fiModelDesc varchar(25) , fiBaseModel varchar(13) , fiSecondaryDesc varchar(20) , fiModelSeries varchar(11) , fiModelDescriptor varchar(14) , fiProductClassDesc varchar(70) , ProductGroup varchar(4) , ProductGroupDesc varchar(29) , MfgYear INT , fiManufacturerID INT , fiManufacturerDesc varchar(27) , PrimarySizeBasis varchar(27) , PrimaryLower float , PrimaryUpper float ); COPY machineid_appendix from 'E:/Bulldozer/Machine_Appendix.csv' DELIMITERS ',' CSV header quote '""'; [/code]",9,silver,1,Fri Jan 25 2013 22:20:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3693,/competitions/bluebook-for-bulldozers,236th
/benoitplante,Equipment brands,"Is there a reason why you do not provide the maker of these machines? I don't know much about these, but I mean like Caterpillar or John Deer. That could help knowing if models numbers like PC120 and PC200 are related. For cars, brands like Toyota have better reselling value than others.",0,None,1,Fri Jan 25 2013 22:24:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3695,/competitions/bluebook-for-bulldozers,294th
/domcastro,Python error,"Hi Thought I'd install Python on my Mac to run the benchmark code. I'm new to Python. When I run the code I get the error File ""random_forest_benchmark.py"", line 8 SyntaxError: Non-ASCII character '\xc2' in file random_forest_benchmark.py on line 8, but no encoding declared; see http://www.python.org/peps/pep-0263.html for details Not sure if I need to change something here? many thanks ps. just checking I have the paths right",0,None,2,Fri Jan 25 2013 22:46:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3696,/competitions/bluebook-for-bulldozers,177th
/benoitplante,fiProductClassDesc,"Could you provide the second part of fiProductClassDesc in a separate field? Like horsepower for wheel loaders or the operating capacity for Skid Steer Loaders, so we could avoid doing it by hand. And if you have the information, variables like horsepower for all models would be useful.",2,bronze,2,Fri Jan 25 2013 22:50:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3697,/competitions/bluebook-for-bulldozers,294th
/blindape,What is the information usually known,"by the bidder in this auctions? Do they have access to a complete history of the machine or are ""WYSIWYG"" style?",0,None,1,Sat Jan 26 2013 13:14:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3699,/competitions/bluebook-for-bulldozers,10th
/drivetheresult,"Start time, end time for Test day","Dear Admins, what is the UTC time for the start date/time for each test day and end date/time for each test day. There are way too many numbers floating around for example for the set 11/12/2012 what would the numbers be Thanks",0,None,1,Mon Jan 28 2013 00:38:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3705,/competitions/flight,172nd
/meadowlark,How do you form a group out of individual members?,"I haven't been able to find any information about this other than small print when you first register with Kaggle stating that you can form groups ""later"". Whats the secret?",0,None,2,Mon Jan 28 2013 18:48:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3710,None,None
/ivpdev,Queston about auction,Do I understand right that the data comes from online auction? Or it is though kind of offline auction?,0,None,1,Mon Jan 28 2013 19:36:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3711,/competitions/bluebook-for-bulldozers,210th
/blindape,Do you think is too late to,"get on board? I've next two weeks with relative quiet work and thinking about this competition, but I'm reading the model and really isn't trivial. How much time have you needed for your initial setup and decent score?",0,None,1,Mon Jan 28 2013 19:47:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3712,/competitions/flight,None
/benoitplante,MachineHoursCurrentMeter blank,"MachineHoursCurrentMeter is supposed to use 0 when the information is missing, but past line 23975 most of lines are simply blank (not 0). Is it normal to not have that information for about 80% of sales?",0,None,2,Mon Jan 28 2013 21:43:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3713,/competitions/bluebook-for-bulldozers,294th
/datamarshall,Scoring Models for Competitons that have Closed,"Hi all, I was just scrolling through some of the previous competitions and I found one that really interests me. I was wondering if it's possible to score my test set to see how predictive my model is - I'm referring to the competition to predict short term stock price movement which ended about 2 years ago. I clicked the 'make a submission' option and I received an error saying that the answer set is no longer available. [Link]:http://www.kaggle.com/c/informs2010 Thank you, Tony",0,None,2,Tue Jan 29 2013 04:23:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3714,None,None
/cobra2178,How to understand the User Friend relationship,"In user_friends file, it list userid + friendids pair. I want to know, if B is in A's friend id list, then A should be in B's friend id list or not? It means, is the user_friend graph an “undirected graph” or an ""directed graph"" ?",0,None,2,Tue Jan 29 2013 07:01:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3715,/competitions/event-recommendation-engine-challenge,None
/sergeykozub,Can we use public aircraft data for this challenge?,"For example, can I take aircraft cruise speed from wikipedia? ( [Link]:http://en.wikipedia.org/wiki/A320) The official rules prohibit ""Use of Other Data"", does this apply to public aircraft specs as well?",0,None,4,Tue Jan 29 2013 11:44:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3716,/competitions/flight,4th
/dieselboy,auction data historical completeness,"Hi all I was wondering about a different aspect of the training (and valid) data. Here I list a set of related questions about the ""completeness"" data aspects: 1) is it a complete slice of all auction sales of machines of the respective time periods? For both Train.csv and Valid.csv 2) What percentage of total gross sales of all bulldozers (and related) are represented in the datasets? 3) What percentage of all sales taking place in the auction houses (at least for the time periods observed in the dataset) are given? 4) Right now there are 31 auction houses in the data. Are there auction houses in the USA whose data was removed from the Kaggle dataset, and so are an invisible player in the marker? Are there foreign auction houses that also sell in the USA and are not listed in the dataset? I followed the other topic about the time aspects of the datasets, and found it a reasonable setup. My question now is about a diff aspect of the data. I realize that one can always say ""this is the data, deal with it"", but with more background on the data quality one can hope to make a wiser predictive model with more added value for the stakeholders. best Nikolay",0,None,1,Tue Jan 29 2013 23:58:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3721,/competitions/bluebook-for-bulldozers,346th
/usamec,Competition does not have a solution to test your submission against,I am the only one who gets this warning when trying to make a submission?,0,None,4,Wed Jan 30 2013 00:15:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3722,/competitions/event-recommendation-engine-challenge,52nd
/abundrew,Test data,"Excuse me if I am wrong but it seems to me that something happened with either the test data set or the evaluation procedure. 1) public scores of the test submissions had been changed on the site, 2) I think that the ratio of test data used for testing was 25% / 75% earlier and not 15% / 85% as it is right now (I am not sure about that), 3) test.csv file (just 15Kb) on Data Files page is wrong right now (it contains just one column ""User""). I am not drunk...",0,None,3,Wed Jan 30 2013 02:04:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3724,/competitions/event-recommendation-engine-challenge,85th
/hj201hj201,How to understand location and starttime of event?,"There are some locaion of events is empty.what that means? It means this event is on internet? For some events (e.g eventid 230117918),there are some users joined later than event starttime,but they can say ""yes"" or ""no""(e.g userid 224492723,20041353).Events may last more than 1 month?",0,None,1,Wed Jan 30 2013 04:28:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3725,/competitions/event-recommendation-engine-challenge,None
/ydhiman,Confused between Machine ID and Sales ID ,I am confused over Machine ID and Sales ID. Please suggest the difference w.r.t goal of prediction task Thanks,0,None,7,Wed Jan 30 2013 10:47:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3727,/competitions/bluebook-for-bulldozers,129th
/jj350277,Data Normalization,"Hi, I'm a newbie and am confused about how data normalization is done in practice. I standardized the training data by subtracting the mean and dividing by the standard deviation for each feature, respectively. This brings up 2 issues: Suppose for a specific feature its training data has mean M and standard deviation SD. Then in the prediction phase, should I standardize the test data using the same (M, SD)? If the answer to #1 is yes, then is the model trained on the training data less relevant for the test data because the standardized test data is not centered around 0? Please someone save this confused newbie... Many thanks in advance. JJ",2,None,1,Wed Jan 30 2013 23:26:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3730,/competitions/titanic,None
/ildefons,question about format test file,"Hello, I am a confused about the format of the test file: which one is correct: 1) userid, [ event_id1L event_id2L ... event_idNL] 2) userid, event_id1 event_id2 ... event_idNL Ildefons",0,None,1,Thu Jan 31 2013 02:51:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3732,/competitions/event-recommendation-engine-challenge,2nd
/imenkhamassi,why there are many zero score,"Can any one tell why I have always zero score in the titanic competition, I'm sure that my leaner isnt so bad....",0,None,12,Thu Jan 31 2013 10:45:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3734,None,None
/knownothing,Predicting sunspot numbers,"If kaggle is still looking for potentially interesting science related contests, I think predicting sunspot numbers would be a good candidate. There is a few hundred years of observation data available, planetary cycles (mainly Jupiter and Saturn) are known factors in the [Link]:http://en.wikipedia.org/wiki/Sunspot_cycle, yet the accuracy in predicting solar minima and maxima is still not very good. NASA had to postpone the start of solar cycle 24 a couple of times.",1,bronze,2,Thu Jan 31 2013 11:09:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3735,None,None
/danielhutty,Location Vs. Timezone,"I've been trying to work out some useful features relating to the time at which an event starts. Of course, since all event start-times are in UTC, whereas most users are not in that timezone, it might be useful to adjust to get the start-time *for the user's timezone*. However, a quick investigation shows that in a very large number of cases, info in the ""location"" field (where supplied) seems to disagree wildly with the ""timezone"" field. Example: In the training set there are in the order of 20 entries whose location field ends in ""United Kingdom"". Of those, 5 have an offset of 60 minutes, indicating UTC + 1 hour, which is believable (perhaps the data was taken when Daylight Savings was in effect). However, there are 10 entries with an offset of 420 minutes, i.e. UTC + 7 hours! (Timezone UTC+7 covers, for example, parts of Indonesia) .The other 5 or so entries cover a wide range of other offset values. In fact, a quick scan seems to indicate that timezone UTC+7hrs is rather over-represented compared to other offsets - although who knows, perhaps most of the training data relates to users from Indonesia... I was wondering whether one of the organisers could give some indication of which set of information was more reliable - the ""location"" field, or the ""offset"" field. It seems to me that if the location is more reliable , it would be worthwhile investing some effort in parsing the location and trying to come up with corrections for unlikely timezone values; if the timezone offset is more reliable, however, then unless the timezone field is omitted it's probably best to mostly ignore the location field...",0,None,6,Thu Jan 31 2013 15:47:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3739,/competitions/event-recommendation-engine-challenge,100th
/tshu170134,cutoff_benchmark.cvs,"Hi all, I am new to know this cometition, and maybe I miss something. For each day in the test period (first for the public leaderboard, and later for the final evaluation), we will select a random time (uniformly chosen between 9am EST and 9pm EST) and select all of the flights in the air at that cutoff time. You will be provided with relevant data for each day that would be available at the chosen cutoff time. As my understanding cutoff is uniformly time chosen between 9am EST and 9pm EST, when I downlown the cutoff_benchmark.cvs, it did not like what I expected. Could somebody explain about what the meaning of this file, please? Do we have to submit this file for the finals? I am quite comfusing at this point. Thanks a lot.",0,None,3,Thu Jan 31 2013 21:10:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3743,/competitions/flight,None
/chmullig,Possible to dump a bit more user information?,"Hi Will & co, Would it be possible for y'all to dump a bit more user information? I was intrigured by the avatars, but was left wanting a bit more. I was scraping profile pages, but it's super slow (1-2s per user if they've submitted). That's roughly 4 days at current speeds. I'm mostly interested in name, programming language, and location. Thanks!",1,bronze,2,Fri Feb 01 2013 17:26:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3749,/competitions/leapfrogging-leaderboards,None
/drivetheresult,"Public Leaderboard , Augmented and rev1 date times UTC","Dear Admin are all the times in the PublicLeaderboard, Augmented set files UTC Thanks",0,None,2,Sat Feb 02 2013 06:16:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3752,/competitions/flight,172nd
/dimkadimon,Next Competition?,I really enjoyed this competition even though I couldn't spend much time on it. Is Kaggle planning to organize more competition like this one?,3,bronze,2,Sat Feb 02 2013 12:36:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3753,/competitions/traveling-santa-problem,97th
/ydhiman,Data Dictionary for Machine_Appendix,What is PrimaryUpper and Primary Lower ?,0,None,1,Mon Feb 04 2013 10:18:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3760,/competitions/bluebook-for-bulldozers,129th
/thomasfletcher,Automating Data-Mining for Kaggle Competitions,"I've looked at and attempted a few Kaggle competitions, and it seems that producing an entry always follows the same basic steps: 1) Split the data up into multiple similar ""rows"" (or ""examples"") associated with the correct data (eg. split by CSV newline, SQL-style-joins to add additional data from other files, etc.). 2) Create lots of features for each example based on all this data. (eg. the length of a row, the number of mispelled words in the row, whether or not part of the example identified as a JPG-encoded image contains a face, split on commas into fields and determine whether field #3 is a date after 23rd January 2013, etc.) 3) Select a ""label"" column and train a classifier or regressor model on these features (or a subset of features). 4) Apply steps 1&2 to a test set (or leaderboard set) to get the same features, and use the model to make predictions for these examples. This seems like something that could be automated. It should be possible to take a Kaggle dataset with a little data about what is to predicted, analyse that dataset to determine how to split the data (step 1), what features to create (2), and what model to train (3), then apply that to the test set to produce a set of automatic predictions which can be submitted as an entry. There are obviously a huge number of different ways that the initial data can be grouped together (in step 1) and features that can be extracted from that data (2), but we are talking about real-world problems, so it should be possible to try the most likely-to-produce-something-useful features first (possibly determined by features that have worked well in the past or some kind of meta-classfier that has learned from previous datasets). It's also easily parallelizable: The generation of a single feature does not depend on other features, so they can be computed at the same time. I wouldn't expect this approach to perform as well as a hand-crafted solution created by an experienced statistician / data-miner / competition-winner, but it would be a lot less human effort (feed in the file, press Go, wait for a while (hours?), recieve a predictions file) to produce something better than the benchmark. This could be used as a basis for an actual solution, provide insights into the data that were not spotted by a human looking at the data (eg. these features performed particularly well), or used outside of Kaggle for automated data-mining where the company can't afford / it isn't worth running a competition or hiring a data-miner to analyse the data. It's often said that most of the data-mining work is validation, removing bad data, fixing badly formatted dates, etc: This could at least remove some of that work. What am I missing? Presumably if this was possible someone would already have done it? Is there research into this sort of algorithm that I've somehow missed? Am I being too optimisitic, and the search space really is too huge? Thoughts, comments, and pointing-out-problems with this idea all requested. Thanks, Tom.",4,bronze,10,Mon Feb 04 2013 13:46:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3761,None,None
/alkhwarizmi,can't make a submission,"I made my submission look exactly like the benchmarks. 2 columns, 11573 entries not including the headers. First column is salesid, second column is sale price. I get an error. No details are given when I click on the ""details"" button. What am I missing?",0,None,2,Tue Feb 05 2013 02:22:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3764,/competitions/bluebook-for-bulldozers,153rd
/taco32535,Deadline?,"What's the deadline? Friday 8, 2013 but at what time and timezone? Thanks!",0,None,1,Tue Feb 05 2013 04:28:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3766,/competitions/leapfrogging-leaderboards,None
/ydhiman,Levels of fiModelSeries ( Is my import correct ),"levels(bulldozer$fiModelSeries) [1] ""-1"" ""-1.50E+01"" ""-11"" ""-12"" ""-15"" ""-16"" ""-17"" [8] ""-18"" ""-1B"" ""-1C"" ""-1L"" ""-2"" ""-20"" ""-21"" [15] ""-21A"" ""-2A"" ""-2C"" ""-2E"" ""-2LC"" ""-2N"" ""-3"" [22] ""-3A"" ""-3C"" ""-3EO"" ""-3H"" ""-3L"" ""-3LC"" ""-3LK"" [29] ""-3MC"" ""-3PT"" ""-3PTC"" ""-4"" ""-5"" ""-5A"" ""-5C"" [36] ""-5E"" ""-5F"" ""-5H"" ""-5L"" ""-5LC"" ""-6"" ""-6A"" [43] ""-6B"" ""-6C"" ""-6E"" ""-6K"" ""-6L"" ""-6LC"" ""-6LK"" [50] ""-7"" ""-7B"" ""-7E"" ""-7K"" ""-7L"" ""-8"" ""-8E"" [57] "" III"" ""1"" ""12"" ""15"" ""16"" ""17"" ""18"" [64] ""1970"" ""1A"" ""2"" ""20"" ""2000"" ""21KomStat"" ""21KomStatII"" [71] ""22"" ""2B"" ""2T"" ""3"" ""3.00E+00"" ""3C"" ""4"" [78] ""5"" ""5.00E+00"" ""5N"" ""6"" ""6.00E+00"" ""6F"" ""6L"" [85] ""6LE"" ""6LK"" ""7"" ""7.00E+00"" ""7A"" ""7L"" ""8"" [92] ""A"" ""AWS"" ""D"" ""D7"" ""E"" ""Elite"" ""EX"" [99] ""FASTRRACK"" ""G"" ""GALEO"" ""H"" ""II"" ""III"" ""IV"" [106] ""IV-2"" ""IV-4"" ""L"" ""LC"" ""LGP"" ""LL"" ""LP"" [113] ""LT"" ""LV"" ""M"" ""Q"" ""R"" ""S"" ""SERIES"" [120] ""SeriesII"" ""SI"" ""STROKE"" ""SWB"" ""TC"" ""TH"" ""V"" [127] ""V-2"" ""VHP"" ""VI"" ""VII"" ""WT"" ""WX"" ""XLT"" [134] ""XR"" ""XT"" ""ZHS"" ""ZTS"" ""ZX"" Values Not making sence ( -ve values :( )",0,None,1,Tue Feb 05 2013 07:30:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3767,/competitions/bluebook-for-bulldozers,129th
/blindape,OOB randomforest estimation,Is a randomforest OOB MSE 0.048 zone a reasonable startup? In what range are you?,0,None,4,Tue Feb 05 2013 16:49:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3769,/competitions/bluebook-for-bulldozers,10th
/yannael,Private leaderboard,"Is it possible to also use the private leaderboard scores, and if yes, where can they be downloaded from the Kaggle website? Thanks!",0,None,1,Tue Feb 05 2013 19:27:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3771,/competitions/leapfrogging-leaderboards,None
/ayy69366,Understanding the Training Data,"I want to make sure I correctly understand the training data, in particular, the relationship between 'invited', 'interested', and 'not interested'. These are the possible scenarios as I see them. Case Invited Interested Not Interested Explanation A 1 1 0 User was invited, visited the page and clicked interested B 1 0 1 User was invited, visited the page and clicked not interested C 1 0 0 User was invited, but either didn't visit the event page, or visited the page, and clicked neither D 0 1 0 User was not invited, but visited the event page and clicked interested E 0 0 1 User was not invited, but visited the event page clicked not interested F 0 0 0 User was not invited, but visited the event page, and clicked neither The cases I am not sure about are C and F. In my interpertation, every row in the training data corresponds to a user who visited an event page or was invited to do so. Once on the page, some users clicked interested, some clicked 'not interested', and some clicked neither. If a (user, event) pair (U,E) is missing from the data, we can assume user U was never invited to event E, and also never visited the event page. Is this correct?",1,bronze,2,Tue Feb 05 2013 20:16:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3773,/competitions/event-recommendation-engine-challenge,211th
/hellofys,the time line,The time line seems to be changed. Now it shows that the competition will end in February 13. It's that right? But the timeline page still show that the deadline to make a submission on private leaderboard is February 20.,0,None,2,Wed Feb 06 2013 05:38:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3776,/competitions/event-recommendation-engine-challenge,11th
/gaborfodor,Leaderboard-ception,Current standing :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/5683/leader_board_ception.png,4,bronze,3,Wed Feb 06 2013 21:59:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3778,/competitions/leapfrogging-leaderboards,None
/lisasolomon,New Webinar Series: The Evolution of Regression From Classical Linear Regression to Modern Ensembles (Hands-on Component),"The Evolution of Regression: An Upcoming Webinar Series (Hands-on Component) Registration: [Link]:http://bit.ly/salford-systems-regression-webinar-series Regression is one of the most popular modeling methods, but the classical approach has significant problems. This webinar series addresses these problems. Are you working with larger datasets? Is your data challenging? Does your data include missing values, nonlinear relationships, local patterns and interactions? This webinar series is for you! We will cover improvements to conventional and logistic regression, and will include a discussion of classical, regularized, and nonlinear regression, as well as modern ensemble and data mining approaches. This series will be of value to any classically trained statistician or modeler. Overcoming Linear Regression Limitations Part 1: March 1 - Regression methods discussed Classical Regression Logistic Regression Regularized Regression: GPS Generalized Path Seeker Nonlinear Regression: MARS Regression Splines Part 2: March 15 - Hands-on demonstration of concepts discussed in Part 1 Step-by-step demonstration Datasets and software available for download Instructions for reproducing demo at your leisure For the dedicated student: apply these methods to your own data (optional) Part 3: March 29 - Regression methods discussed *Part 1 is a recommended pre-requisite Nonlinear Ensemble Approaches: TreeNet Gradient Boosting; Random Forests; Gradient Boosting incorporating RF Ensemble Post-Processing: ISLE; RuleLearner Part 4: April 12 - Hands-on demonstration of concepts discussed in Part 3 Step-by-step demonstration Datasets and software available for download Instructions for reproducing demo at your leisure For the dedicated student: apply these methods to your own data (optional)",0,None,1,Wed Feb 06 2013 22:19:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3779,None,None
/capeder,Any group of men to survive?,"Hello fellow kagglers, I just started trying to find clusters of passengers. If the cluster has a percentage of over 50% survivers I estimate ""survived = 1"", otherwise I estimate ""survived = 0"". Unfortunately I cannot find any group of men with a chance of over 50% to survive. The best group of men I found scores 37% of survivers in the train data set. Did you find an approach to find surving men? I just cannot find any surviving group of men? Was the situation really so bad for them? Thank you Dieter",0,None,5,Thu Feb 07 2013 14:48:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3781,/competitions/titanic,None
/cristianfigueroa,Voting closing?,"Hi all, Does the voting close at the same time as the submission deadline? Thanks, Cristian",0,None,5,Thu Feb 07 2013 17:29:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3782,/competitions/leapfrogging-leaderboards,None
/sushanth,looking for a team mate ,i Am looking for a team mate to put forth the data available use the creative ideas,0,None,1,Thu Feb 07 2013 18:46:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3783,/competitions/event-recommendation-engine-challenge,None
/rocelot,Deadline,"Is the deadline 7 pm EST ? If so , could the moderator please extend the time to midnight :)",0,None,1,Thu Feb 07 2013 22:59:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3784,/competitions/leapfrogging-leaderboards,None
/del=c28f63481e2bae00,ARA is significantly larger than AGA,"Sorry, may be the question is repeated, though I haven't found it in the list of previous topics. InitialTrainingSet -> 2012_11_21 -> FlightHistory -> flighthistoryevents.csv -> flight_history_id = 281025006. ARA- New=11/21/12 09:33 AGA- New=11/21/12 08:53, STATUS- Old=A New=L According to the context, AGA seems to be right and ARA is wrong. But it impacts RMSE a lot. Can such thing be in test data?",0,None,1,Fri Feb 08 2013 05:59:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3788,/competitions/flight,120th
/harishgp,Team mergers,"Hi, I am harishgp, part of the srinivasan4u team. This is our first contest, and we are excited to participate. We are looking for a good team to merge with so that we can increase our scores further. Ideally the team to merge with would have a score of greater than 0.65, and would have used a strategy of scoring events for each user and ranking based on them. @more_experienced_kagglers : What is the condition for team mergers to be allowed? Is it (team1_submissions+team2_submissions)<=5*(number_of_days) ? Thanks, harishgp.",0,None,1,Fri Feb 08 2013 18:17:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3790,/competitions/event-recommendation-engine-challenge,6th
/farstars,A question on TAF weather forecast data,"In the Leaderboard test data set, the present weather data in METAR folder have been clipped after each test day's cutoff time. However, the TAF forecast data in Other Weather folder are not. I guess that, for the final test, we are supposed to use only the TAF forecast which has been issued before the cutoff time. Admin, could you clarify this?",0,None,1,Sun Feb 10 2013 01:02:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3798,/competitions/flight,137th
/tarekmoselhy,"Error while submitting: ""Competition does not have a solution to test ... ""","Hello, When attempting to make a new submission, I get the following error message: ""Competition does not have a solution to test your submission against"" Any help is appreciated, Tarek",0,None,8,Sun Feb 10 2013 05:12:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3799,/competitions/flight,167th
/dnouri,"Submit probabilities, not 0/1 decisions.","It wasn't clear to me whether or not the submission file should contain binary decisions or probabilities. It turns out that it expects probabilities. It might be a good idea to change the example submission file and make one that has probabilities (maybe 0.23), rather than the ambiguous integer 0 for all entries.",7,silver,1,Sun Feb 10 2013 17:27:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3805,/competitions/whale-detection-challenge,6th
/jessicabombaz,train data mislabeled,"I think the train data is mislabeled. Often I hear a whale when label is 0. For example file number 3, 5, 8 and a lot of more. Or maybe the labellers could distinguish other whale species?",0,None,16,Sun Feb 10 2013 22:52:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3806,/competitions/whale-detection-challenge,None
/xyutech,Programming language?Open source libs?,"Hello everybody, I have a couple of question. I'm sorry I was unable to find precise answers myself. - What programming language should be used? Is it possible to use Java or C++? - Is it possible to use open source lins as a part of solution? Thank you much!",0,None,2,Mon Feb 11 2013 17:16:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3807,None,None
/user3pi56143,Useful paper,This maybe of some use. http://www.afsc.noaa.gov/nmml/PDF/rightcalls.pdf,4,bronze,1,Mon Feb 11 2013 19:01:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3811,/competitions/whale-detection-challenge,99th
/drivetheresult,Algorithm differences between Feb15th and March11th,"Hi Admins, given half of the teams have joined in January. Would it be possible for the teams to submit a preliminary Model as a Hash or Psuedo code on Feb 11th and submit the final code on March 14th Thanks",0,None,1,Mon Feb 11 2013 19:44:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3812,/competitions/flight,172nd
/geometrikal,Where is small_data_sample.zip,It is no longer on the 'get data' page,0,None,2,Tue Feb 12 2013 08:10:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3813,/competitions/whale-detection-challenge,None
/wcukierski,And the winners are...,"Thanks for your participation in this crazily named competition. We loved the variety of different ideas it surfaced and are very happy with the outcome. Congrats to our winners: The voting winners: 1st place: Oliver Staubli with 29 votes [Link]:https://www.kaggle.com/c/leapfrogging-leaderboards/visualization/710 2nd place: cristianrfr with 25 votes [Link]:https://www.kaggle.com/c/leapfrogging-leaderboards/visualization/898 The Kaggle's choice awards: 1st place: cristianrfr (a submission so nice, we're rewarding it twice) for [Link]:https://www.kaggle.com/c/leapfrogging-leaderboards/visualization/898 2nd place: chmullig for [Link]:https://www.kaggle.com/c/leapfrogging-leaderboards/visualization/909 We hope you enjoyed working with this data. Expect more as the site continutes to grow and we ramp up the data science about data science.",5,bronze,The voting winners:,Tue Feb 12 2013 20:17:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3822,/competitions/leapfrogging-leaderboards,None
/rudikruger,"aww, c'mon",Am I the only one interrested in this competition?,0,None,3,Tue Feb 12 2013 21:07:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3823,/competitions/facial-keypoints-detector,15th
/sergeifironov,Can't change selection,"I can't change selection in a ""My submissions"" section. The ""Competition does not have a solution to test your submission against"" message appears after i click on ""Submit selection changes"". How should I send my actual final submission and select it for use in a final test set?",0,None,4,Wed Feb 13 2013 09:18:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3828,/competitions/flight,143rd
/chandranakamura,User location,"Presumably, it is ok to extract user longitude latitude from the web based on their location description?",0,None,1,Wed Feb 13 2013 10:18:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3829,/competitions/event-recommendation-engine-challenge,None
/chaseos,Allowed Libraries,Are libraries such as LibFM and svmRank allowed for this competition? The license for these are for academic use only.,0,None,1,Wed Feb 13 2013 13:21:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3833,/competitions/event-recommendation-engine-challenge,5th
/xavierconort,Pb with fbwindreports: data missing on the 1st day of Augmented_2,"It seems that some data are missing for fbwindreports on the first day of Augmented_2: 3-01-2013. There are no reports for US before 2013-01-04 02:41 !!! I chose not to use 3-1-2013 to train my models. But if this happens to the test set, I will have a bug in my code and I will not be able to produce predictions. Ben, can you confirm that it is a situation I have to handle (no fbwindreports available for a whole day) or it is a problem in your data that will not happen for the test set? For the PLB, we had data for the 1st day (2012-11-26 09:19). Thanks, Xavier",0,None,1,Thu Feb 14 2013 04:18:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3839,/competitions/flight,1st
/ahartmann,Availability of data for research,"Hi all, I would like to know if it would be possible to publish my findings (if any) elsewhere in scientific journals / conferences after submitting it to the contest. Thank you",0,None,13,Thu Feb 14 2013 22:24:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3843,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/skokko,Question: Clarification on Data,In the data there are 2 persons: Daisy and Daisey. Are they the same (typo) or different? Thank you Steve Kokkotos,0,None,2,Fri Feb 15 2013 03:49:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3844,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/dirknbr,Benchmark extension,"I know Python but find the pandas/numpy/sklearn combo a bit tricky. I want to write a function similar to CountVectorizer which creates a matrix. The below doesn't throw any errors but Python doesn't respond so not sure if it works or not. class Dummy(): def __init__(self): self.n=0 def fit_transform(self, x, y=None): uniq=list(set([i for i in x])) col=len(uniq) row=len(x) a=np.zeros((row,col),dtype=np.int) for i in range(row): a[i,uniq.index(x[i])]=1 return a",0,None,2,Fri Feb 15 2013 16:10:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3846,/competitions/job-salary-prediction,126th
/kroolli,Accel data available in raw format at 50 Hz sample rate?,The accel data is available in a statistical representation on a 1/s grid although recorded at a sample rate of approx. 50 samples/s.. Is the original raw accel data at 50 sample/s still available? --KO,0,None,4,Fri Feb 15 2013 18:56:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3847,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/asweller,"For help, the error of submission","Submission info/warnings of my submission is on the below, however, 1776192 and others are definitely on the csv files. I don't know why this error. Can anyone give me some help? my submission: User,Events1776192,1823369186 2972428928 1024025121 3025444328 4078218285 2514143386 28775016885161061,861989233 2169802745 737935339 1538046875 2098674667 2027962693 3272920269 1652007005 319129729 1926865450 error Couldn't find matching destination row for '1776192' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 2) Couldn't find matching destination row for '5161061' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 3) Couldn't find matching destination row for '15390083' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 6) Couldn't find matching destination row for '16454810' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 7) Couldn't find matching destination row for '18236457' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 8) Couldn't find matching destination row for '23465780' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 10) Couldn't find matching destination row for '30355949' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 11) Couldn't find matching destination row for '37106093' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 14) Couldn't find matching destination row for '43826519' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 16) Couldn't find matching destination row for '43965236' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 17) Couldn't find matching destination row for '50521271' on sortable column 'User'. Did you include a row identifier that isn't in the solution file? (Line 19) Error limit reached. Further Error messages will be suppressed (Line 19)",0,None,2,Sat Feb 16 2013 06:40:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3850,/competitions/event-recommendation-engine-challenge,87th
/arnaudsj,SalaryNormalized accuracy/rule?,"Hi, I was going through step by step and notice that in some occurences in the training data set I caught what I would consider to be issues in regards to the accuracy of the SalaryNormalized column. Is there a particular formula/algorithm that is used to Normalize the Salary? (and does is it dependent on the SourceName). I pasted an example record below. Thank you in advance. Id 69039698SalaryRaw Up to 60,000 per annum basic + packageSalaryNormalized 30000SourceName cwjobs.co.uk",1,bronze,13,Sat Feb 16 2013 21:27:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3852,/competitions/job-salary-prediction,7th
/david25,Contest should end tomorrow (from Rules),"The rules section states: ""Contest ends at 11:59:59 p.m. UTC on February 17, 2013."" That date/time is tomorrow. Now if it stated ""12:01 a.m. UTC on February 17, 2013"" then it would be over right now. From worldtimeserver.com, the current time is The current time and date right now in (UTC/GMT) is 1:56 AM Sunday, February 17, 2013 This is before the time in the Rules section.",0,None,5,Sun Feb 17 2013 02:58:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3854,/competitions/hospital,None
/jma136128,JAVA Code,"Good Day! Please forgive my confusion but in the AccelWriter.JAVA file, 6 lines (not counting the // lines) into the @Override annotaion, the System.currentTimeMillis() is divided by 1000.0d. I thought the system time gets divided by 1000.0d to get milliseconds BUT doesn't .currentTimeMillis() already yield milliseconds? If you could help me get clear, since JAVA is not a strong suit, I would be most appreciative. JMA",0,None,1,Mon Feb 18 2013 01:50:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3860,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/thilinarathnayake,How to combine rf and gbm results in sklearn?,Could anyone give me some advice on how to combine the results of Random forest and gbm to achieve the final predictions? Would mere averaging be sufficient or is there any other method available? Thanks in advance.,0,None,3,Mon Feb 18 2013 09:20:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3861,/competitions/bluebook-for-bulldozers,458th
/iangoodfellow,How does the final evaluation work?,"For the Kaggle in the classroom contests, how is the final evaluation performed? For the leaderboard, I see the students are given the public test dataset's input features, and are asked to upload a file containing their predictions for those examples. How does Kaggle score them on the second half the test set at the end of the class? Does the second half of the test set's input features get released shortly before the deadline?",2,None,4,Mon Feb 18 2013 22:45:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3870,None,None
/barrenwuffet,Convenience request - encoding ,"For contests with lots of text work involved it would be nice to have a note on what specific encoding (Latin, UTF-8, etc.) is used for the data files. I tried a few on this one before settling on UTF-8 which seems to work best for me. I'd be curious if others tried anything else with better / worse results.",0,None,1,Wed Feb 20 2013 04:01:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3879,/competitions/job-salary-prediction,23rd
/vishal17,R Code to test your model,"I am very new to all this so if there are any errors please let me know and I will fix them. Also, the code has been built on other peoples work so a big THANKS to them for sharing - so that now I can share :-) For me - I just can't wait to do 2 submissions a day and I want to check my work asap. I split the training set in 2 - 80% to train and 20% to test against - here is the code - I am in the 75% range. You can set the seed if you want to keep the same training and test set #read the training data into a dataframe called train train<- read.table(""<YOUR DIRECTORY>/train.csv"", header = TRUE, sep = "","")# Split the data into train and testindex <- sample(1:nrow(train),as.integer(nrow(train)*.80),replace=FALSE)train1 <- train[index,]test1 <- train[-index,]# Model logistic.model1 <- glm(survived ~ pclass + sex, family = binomial(), data=train1)# Run against the data we put aside earlierprediction <- predict(logistic.model1, newdata=test1, type = ""response"")#using a probability cutoff of 0.5 for outcome of survived, default missing to deceased prediction[prediction >=0.5] <- 1 prediction[ prediction != 1] <- 0 prediction[is.na(prediction)] <- 0# How did we do? table(prediction, test1$survived) x<-table(prediction, test1$survived) correct<-(x[1,1]+x[2,2])/(sum(x)) print(correct)",2,bronze,5,Wed Feb 20 2013 19:02:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3882,/competitions/titanic,None
/sunilv,"what is ""..tar.bz2""","Hi, One of the files in the mjff_text_files.zip is a ""..tar.bz2"" which is 5.6G. What does this file contain? Archive: mjff_text_files.zip Length Date Time Name--------- ---------- ----- ----5659402671 02-04-2013 16:19 MJFF-Data/..tar.bz2 Thanks.",0,None,5,Thu Feb 21 2013 05:31:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3886,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/julesvanligtenberg,Flight Quest Part 2?,"Hi admins, Is there going to be a Flight Quest Part 2 after March 11? I ask this because the total prize money to be awarded in the competition ending on March 11 is $250.000 while in the video on home/info page it says ""total prize amount: $500.000."" I would love to give it another go, I feel like I have just been warming up... Thanks, Jules",0,None,1,Thu Feb 21 2013 11:08:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3888,/competitions/flight,19th
/davidbuchaca,Train set problems - (how to merge Appendix and train),"Hi guys, this is my first time participating in Kaggle so I'm still a noob ^^' and I'm having some problems. I downloaded the initial data and the appendix, I've read that there is one machine id for every machine in all the competition datasets (training, evaluation, etc.). I wanted to merge the train.csv with the appendix(but I could not use the SQL commands that sashi has given because I have no idea of SQL (yet) ) and I noticed the following: a<-sort(unique(train$MachineID))length(a) # 341027b<-unique(App$MachineID) # 358593length(b) # 358593 (I have: App<- machine_appendix.csv, train<-Train.csv) So in the appendix there are more instances than in the original train (if we do not count those that are repeated in train) ! I don't understand this ( for those instances that are in the appendix and not in train I'm missing lot of features). I thought that maybe those instances were from the Valid.csv but 341027 ( instances of 'a') + 11573 (instances in Valid) = 352600 < 358593 (instances in Appendix) Has anyone merged the data in R? if so, how have you done it?",0,None,6,Thu Feb 21 2013 17:18:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3890,/competitions/bluebook-for-bulldozers,None
/cartersibley,Final Evaluation Set question,"Will the final evaluation set be pulled from postings in the same time period as the training and validation (public leaderboard) sets? E.g. is it just a third random subset from the same universe of postings? Or will the data be truly new/blind (e.g., pulled from a fresh, unrelated time period)? Thanks!",0,None,1,Thu Feb 21 2013 22:09:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3893,/competitions/job-salary-prediction,16th
/aolariu,Solutions,Well this was fun :) Congrats to the winners! GG I'd like to start this topic for participants that want to share their solutions. I'm really curious how others approached the problem. My code and comments are here: http://webmining.olariu.org/event-recommendation-contest-on-kaggle,15,silver,16,Thu Feb 21 2013 23:35:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3894,/competitions/event-recommendation-engine-challenge,7th
/benhamner,Revision 1 of Files Released - Download the Data Again,"Hi all, I just released revision 1 that fixes the salary normalization issue pointed out [Link]:https://www.kaggle.com/c/job-salary-prediction/forums/t/3852/salarynormalized-accuracy-rule that affected a small percentage of the jobs. The new versions of the data are tagged *_rev1.csv, so go ahead and download the updated version from the data page. Ben",0,None,4,Fri Feb 22 2013 03:01:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3895,/competitions/job-salary-prediction,None
/jineshjain,Need help in KNN technique,"Hey Guys, I am working on designing a KNN methodology to be used in campaign execution models. I need help on designing a framework which gives higher weights to most significant variables, and ultimately will improve the performance of the models. Thanks, Jinesh",0,None,2,Fri Feb 22 2013 10:57:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3898,None,None
/pprett,Pending submission,"Hi, when I submit my predicitons I don't get a response from the server but the submission is recorded with a ""pending"" score. Is there a problem with the format / evaluation script? My scores are real values from -30 to +30, I printed 6 digits after the decimal point using numpy.savetxt('out.csv', scores, fmt='%.6f') . thanks, Peter",0,None,8,Fri Feb 22 2013 22:09:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3900,/competitions/whale-detection-challenge,7th
/randyc,Submissions Pending,I see in one of the other forums that there's some site issue causing submissions to go into a pending status. I've got 3 of the same submission in the queue; mind knocking out two of them? Thanks!,0,None,3,Sat Feb 23 2013 00:39:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3901,/competitions/job-salary-prediction,34th
/thilinarathnayake,Public score - Pending,"Hey Guys, After I submitted the csv file It says ""Pending"" under the public score column. It has been a while and I am a wee bit worried since it has cost me a submission. What should I do? Thanks in advance.",0,None,2,Sat Feb 23 2013 01:44:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3902,/competitions/bluebook-for-bulldozers,458th
/kraxx84980,Biased Training Data Set?,"Hi all, one very simple and basic question - I checked the forum, but could not find any information about this: In the competition description there is said that 1502 out of 2224 people died which gives you a general chance to survice of 32.5%. Taking the training data set: 549 out of 891 people died resulting in a chance of 38.4% surviving. My first (test) approach was then submitting the test data set with a randomly generated surviving-variable (32.5%) leading to a score of 0.47847. - Going by chance I would have expected a score of about 0.52-0.56. This goes along with various statements about lower scores then expected in the forum. Performing a simple t test between the death/surviving ratio in total and in the training data set it shows that there is a significant difference between both populations. Hence: Are there any more detailed informations how the training data set was build? Thx in advance",1,bronze,3,Sat Feb 23 2013 22:22:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3906,/competitions/titanic,None
/drivetheresult,Contest open,"Dear Admins is this contest open, what is the latest a submission needs to be made for being considered thanks",0,None,1,Sun Feb 24 2013 01:07:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3907,/competitions/whale-detection-challenge,None
/drivetheresult,Open,Dear Admin is this contest still open and what is the latest to submit to the leaderboard Thanks,0,None,1,Sun Feb 24 2013 01:27:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3908,/competitions/bluebook-for-bulldozers,None
/glider,Known Bugs for new profiles,"The following is a list of known bugs or issues we are already addressing, but did not want to hold up the release for. I will maintain this as things are reported and fixed. The full Results tab to show all results is not released yet. Skills cannot currently be edited, and are synthesised from the tools and techniques sections of the old profiles. Changing Date of Birth is not reflected immediately on the Account view. Long Bios should automatically summarise with a More... link to expand. Location Region is lost, your public location is only City, Country (we still have all the data). This is to be corrected, since a number of countries strongly identify as City + Region. Showing non-prize winning near-victories created confusion with the new design and has been temporarily disabled. Invite-only masters competitions are current visible, only open-entry public competitions should be visible in the result summary bar.",0,None,3,Sun Feb 24 2013 20:00:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3909,None,None
/karle1,Model ID numbers,Is there an underlying procedure to assign MODEL ID's to machines? If so what is it? Or is it some database guy's personal system...,0,None,1,Mon Feb 25 2013 02:31:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3910,/competitions/bluebook-for-bulldozers,380th
/gobordhon,Software to be used?,"Hi, This may be clear to many but a confirmation will be nice- what softwares are we allowed to use to carry out the analytics? Can we use SAS/SPSS or are we allowed only to use open-source softwares such as R/Python?",0,None,4,Mon Feb 25 2013 14:10:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3914,/competitions/whale-detection-challenge,None
/gobordhon,Software to be used?,"Hi, This may be clear to many but a confirmation will be nice- what softwares are we allowed to use to carry out the analytics? Can we use SAS/SPSS or are we allowed only to use open-source softwares such as R/Python?",0,None,9,Mon Feb 25 2013 14:12:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3915,/competitions/bluebook-for-bulldozers,None
/leonardofi,Fare meaning,I noticed that family groups of people have the same ticket and same fare amount. So anyone of you can tell me what the exact meaning of fare is ? It looks like the amount af a family group ticket; in this case I should divide it by the family member nummber to obtain the individual fare....,3,None,4,Mon Feb 25 2013 14:35:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3916,/competitions/titanic,None
/jzbontar,Public Data Sources,The rules state that we are allowed to use additional public data sources. Does that mean we can use the [Link]:http://soi.st-andrews.ac.uk/dclde2013/workshopdataset.html?,3,bronze,1,Mon Feb 25 2013 15:05:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3917,/competitions/whale-detection-challenge,5th
/zidane10,issue with machineIDs?,"Hi - I have a question regarding the variable MachineID. MachineID is described as ""the unique identifier of a machine,"" however, I'm coming across instances of presumably different machines that share the same MachineID. For instance, MachineID 1049902 has five records in the train.csv file - looking at the variable ProductGroup, in two instances this machine is described as being a motor grader (in which case the machine was presumably sold twice, so okay so far), but in the other three instances the machine is described as being a track type tractor, a skid steer loader, and a backhoe loader. Am I missing something, or are instances such as these mistakes in the data sets? Thanks!",0,None,1,Mon Feb 25 2013 18:50:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3919,/competitions/bluebook-for-bulldozers,None
/budiansky,"Generic name for trademarked ""Random Forests""?","Is there a good generic name we can use for the ""Random Forest"" algorithm? ""Random Forest"" is trademarked, which is a little annoying, but so be it. It's descriptive, which means it's not a really strong trademark, but a business has obtained the name rights to it anyway. Proper usage of trademarks requires that they be used as adjectives, not nouns. Companies who are careful about this always insist on it, and object to use such Kleenex, Kodak, Xerox as nouns or verbs. Don't ""xerox"" this document. Use the ""Xerox-brand photocopier."" And so on. This means that the legally correct usage (as I understand it - I am not a lawyer) would be refer to the ""Random Forest""-brand of algorithm from Salford Systems. If it's not from them, it's not ""Random Forest"" just like if it's not from Apple Computer, it's not an ""iPod mobile digital device."" If that's the way they want, then fine. We should neither 1) use a trademarked name improperly, nor 2) provide gratuitous advertising for a particular company that owns a trademarked name. But what should it be called? One possibility I've seen is ""Ensembles of decision trees."" Is this a good name we can start using instead? EDT instead of RF? People from the academic world may regard all this as silly. But people from business world don't, and they're the ones with all the lawyers.",0,None,4,Mon Feb 25 2013 20:34:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3920,None,None
/nileshjethwa,Bubble visualization of kaggle blog,Here is a dynamic bubble pack layout visualization of Kaggle blog [Link]:http://www.infocaptor.com/bubble_viz/blogkagglecom.html Share your thoughts and comments. Thanks Nilesh,1,bronze,2,Tue Feb 26 2013 02:03:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3921,None,None
/gyanveda,Classifiers place too much weight on sex feature,"I have applied different classifiers (support vector machine, Naive Bayes, logistic regression, decision trees) to the training data, which I divide into a training set and a testing set (using 10-fold cross-validation). In every single case, whenever 'sex' is included as a feature, the classifier relies on it exclusively to classify the observations in the testing set: Classification accuracy is identical to the case in which 'sex' is the only feature. This is really frustrating because correlations confirm that other features (e.g., passenger class) help to explain some of the variance in survival outcome. I tried to create a feature that combines sex and passenger class (i.e., one 'women' condition and one 'men' condition per passenger class), but this new feature yielded the same result: The pattern classifiers still uses sex exclusively to predict outcome. Have you experienced this pattern of results before? Am I doing something wrong? Do you have any suggestions? I'm using MATLAB if that is at all relevant.",0,None,1,Wed Feb 27 2013 04:21:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3933,/competitions/titanic,None
/marcossainz,Submision format,"Even though you state that each row in the submision file can be in {0,1} or in [0,1], I'm getting different public leaderboard results if I go from continuous to discrete by applying ifelse(predictions >= 0.5, 1, 0). Can you please provide the correct continuous-to-discrete translation? Is the threshold something other than 0.5? Thank you!",0,None,1,Wed Feb 27 2013 08:15:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3935,/competitions/just-the-basics-the-after-party,27th
/firstl,dataset dictionary,"Hi All, I'm confused with some column names in dataset such as sibsp,parch and embarked. is there any dataset dictionary that describ the meaning of each column or is there anybody who knows the meaning of these columns? thanks.",4,None,5,Wed Feb 27 2013 16:59:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3936,/competitions/titanic,None
/zeroprediction,Telephone usage,"Hi, may I ask some questions: * did the people use the smartphone to talk too? * do we know where the people carried the phone most of the time (pocket or neck,...)? Thanks!",0,None,5,Wed Feb 27 2013 19:29:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3938,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/gaborfodor,Private score is not so private,I guess you are using the same public/private split as in the 1H competition. It has some risks: One can submit to the original contest then check the private result and avoid overfitting. I know it is just a competition for fun but in theory an attacker can submit 4000 submissions and compute the total test set,1,bronze,1,Thu Feb 28 2013 19:45:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3941,/competitions/just-the-basics-the-after-party,2nd
/sabik82138,LocationNormalized and the Location Tree,"Hello, According to the data description, the LocationNormalized values can be looked up in the Location Tree file to obtain hierarchical relationships between the locations. However, about 8-9% of the location names seem to be ambiguous. For example, job ad 46629414 has ""Milton"" listed as the LocationNormalized, but this corresponds to 16 different places in the location tree. Clearly ""UK~Eastern England~Cambridgeshire~Cambridge~Milton"" is intended, based on LocationRaw, but I don't see any way to tell that other than manually or by re-implementing the normalizer. Am I missing something, please? Jiri",0,None,9,Fri Mar 01 2013 01:35:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3943,/competitions/job-salary-prediction,237th
/elizabethbtorres,Submission Format?,"Hi, I have found an interesting pattern in the accel data and want to submit it. This may be part of the FAQ -sorry if it is but: Do I write it up as a scientific paper for a peer reviewed journal? Do I put together a Power Point Presentation summarizing the finding and methods? I have recently had part of the methods accepted (in press now) but have some new additions that I used here for the accelerometer data, so I would need to explain that new part. Anyhow, what is the format to submit? Thanks",0,None,8,Fri Mar 01 2013 05:20:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3944,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/wcukierski,"New Deadline - April 8, 2013","Hey folks, Given the fast progress on this problem, the hosts have asked to shorten the deadline by one month to April 8, 2013. We are going to allow the change since it's still over a month away and you have plenty of advanced notice. To be fair, we are going to double the number of submission slots (from 2 to 4 per day) for the rest of the contest. This is effective immediately and grants even more submission opportunities than the original timeline. Timing competitions is a bit of a black art. We try to avoid the situation where winners are in ""statistical ties"" and the models get over-engineered for diminishing returns. Thanks for understanding. Yours truly, Will",0,None,4,Fri Mar 01 2013 22:53:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3947,/competitions/whale-detection-challenge,None
/mikecunha,MCMC,"has anyone tried MCMC? I've been trying to get started with PyMC by reading https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers but I can't seem to get my head around building a model for this problem... I can reduce the dimensionality down to 20 features (taken from a spectrogram) and still retain decent predictive power ( auc > .90 ) using tree ensembles, but am unsure if this is still intractable for covariance matrices and/or conditional probabilities involved in sampling a posterior distribution.",0,None,3,Fri Mar 01 2013 23:41:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3948,/competitions/whale-detection-challenge,81st
/leobuettiker,Learning Algorithm for curves,"Hi, I managed to read the soundfiles, transform and filter them. What I currently have is a curve that describes the signal. Basicly the ""skyline"" of the filtered spectogram. I would like to apply a learning algorithm on this curves. I'm very new to ML, so can you help me? Does my idea make sense to you? And which learning algorithm might work for this? (I'm using R, so a algorithm avaliable as a package for R would be prefered) Thank you so much for your answer! Leo",0,None,2,Sat Mar 02 2013 11:04:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3949,/competitions/whale-detection-challenge,163rd
/benhamner,Embargo on Competition Results Until March 26,"Hi all, Thanks for your participation in this contest so far! We've been thrilled to see the progress you've made on this problem and are incredibly excited to see the results. I wanted to let you know that there is a press embargo on the competition results until March 26, so the final leaderboard will not be publicly disclosed until then. We will be in touch with the preliminary prize winners in the days following the final submission deadline, and we will inform everyone else who makes a submission to the test set privately over email. Please don't discuss your status or the contest results until after March 26. Cheers, Ben",0,None,7,Sun Mar 03 2013 02:25:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3951,/competitions/flight,None
/dantparry,Where to start?,"Hey, I am interested in doing this for educational purposes and I doubt I will be a ""winner"" in this competition. I would like to know how one should begin when dealing with datasets so large. Do you do some preliminary work with data-plotting or go straight to the random forests algorithms? I would like to hear your approach.",0,None,4,Sun Mar 03 2013 08:03:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3953,/competitions/flight,None
/trontin,Error in benchmark code,"When I run the benchmark training code in python 2.7, it shows an error Traceback (most recent call last): File ""train.py"", line 39, in <module> main() File ""train.py"", line 32, in main classifier = get_pipeline() File ""train.py"", line 24, in get_pipeline random_state=3465343))] TypeError: __init__() got an unexpected keyword argument 'min_samples_split' Can anyone please explain, what this error means and how can I correct it?",0,None,1,Sun Mar 03 2013 17:36:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3954,/competitions/job-salary-prediction,None
/brandewinder,Sharing F# model on GitHub,"My understanding of the rules is that it's fine to share code, as long as everyone can access it - so in that spirit, here is a link to the public GitHub repo where I will be pushing my models coded in F#, as I progress: https://github.com/mathias-brandewinder/Kaggle-Digit-Recognizer Cheers! Mathias",0,None,9,Mon Mar 04 2013 21:23:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3961,/competitions/digit-recognizer,None
/risingsun81,prox data,"Hi, Could you please clarify the meaning of the proximity data? What does 0 and 1 indicate? Moreover in some cases we have >1 values too. I would really appreciate your help. Thanks",0,None,2,Tue Mar 05 2013 06:44:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3965,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/benhamner,Welcome,"We're excited to launch our third competition focused on analyzing handwritten text, the 2013 ICDAR Gender Precition from Handwriting challenge! This is a follow up to two previous challenges, the [Link]:https://www.kaggle.com/c/wic2011 and [Link]:https://www.kaggle.com/c/awic2012 Arabic Writer Identification challenges. Ali Hassaïne, the designer and host of this competition, will be monitoring the forums and available to answer questions. Good luck!",0,None,1,Tue Mar 05 2013 10:52:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3968,/competitions/icdar2013-gender-prediction-from-handwriting,None
/nickkoulias,Is Regression Appropriate?,"Hi all, Firstly let me begin by stating that I am a complete beginner! I was considering using linear regression model to predict survival on test data set. I used R to come up with a simple regression model using sex, age and pclass as predictors. I came up with the following model: Call: glm(formula = survived ~ sex + age + pclass)Coefficients:(Intercept) sexmale age pclass 1.326066 -0.479293 -0.005453 -0.202916 Degrees of Freedom: 713 Total (i.e. Null); 710 Residual (177 observations deleted due to missingness)Null Deviance: 172.2 Residual Deviance: 105 AIC: 667.7 I am not sure how to fit this model to my test data set? For example, if I have the following single piece of data, what will be my predicted score? pclass=3, sex=female, age=22? What about: pclass=1, sex=male, age=48? Finally at what predicted value can I assume a survivor? Any help will be greatly appreciated. Thanks Nick",0,None,2,Tue Mar 05 2013 15:35:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3976,/competitions/titanic,None
/jscheibel,profile edit skills section,"Am I missing it, or is it gone? I was going to change mine from custom to something a little more meaningful and found I couldn't change/get at it. Not a big deal if I can't change it right now. I was really just curious if I was missing it or it's gone... or... or what.",0,None,6,Tue Mar 05 2013 20:09:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3979,None,None
/raghavankl,Issue with python run,"I have installed numpy, skilearn,pandas even after that I am getting the following error while trying to run train.py Please help me to run the train.py without the following error, $ python train.pyTraceback (most recent call last): File ""train.py"", line 5, in <module> from sklearn.ensemble import RandomForestRegressor File ""/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/ensemble/__init__.py"", line 7, in <module> from .forest import RandomForestClassifier File ""/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/ensemble/forest.py"", line 47, in <module> from ..feature_selection.selector_mixin import SelectorMixin File ""/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/feature_selection/__init__.py"", line 7, in <module> from .univariate_selection import chi2 File ""/Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-intel.egg/sklearn/feature_selection/univariate_selection.py"", line 13, in <module> from scipy import stats File ""/Library/Python/2.7/site-packages/scipy-0.13.0.dev_c31f167_20130304-py2.7-macosx-10.8-intel.egg/scipy/stats/__init__.py"", line 320, in <module> from .stats import * File ""/Library/Python/2.7/site-packages/scipy-0.13.0.dev_c31f167_20130304-py2.7-macosx-10.8-intel.egg/scipy/stats/stats.py"", line 241, in <module> import scipy.special as special File ""/Library/Python/2.7/site-packages/scipy-0.13.0.dev_c31f167_20130304-py2.7-macosx-10.8-intel.egg/scipy/special/__init__.py"", line 529, in <module> from ._ufuncs import *ImportError: dlopen(/Library/Python/2.7/site-packages/scipy-0.13.0.dev_c31f167_20130304-py2.7-macosx-10.8-intel.egg/scipy/special/_ufuncs.so, 2): Library not loaded: /usr/local/Cellar/gfortran/4.7.2/gfortran/lib/libgfortran.3.dylib Referenced from: /Library/Python/2.7/site-packages/scipy-0.13.0.dev_c31f167_20130304-py2.7-macosx-10.8-intel.egg/scipy/special/_ufuncs.so Reason: image not found",0,None,2,Wed Mar 06 2013 07:55:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3981,/competitions/job-salary-prediction,None
/dickoa,Looking for a feature,"Hi, I read the interesting paper describing the features we used in this data set (A set of geometrical features for writer identification by Hassaine et al - 2012). I know that the names are not consistant between the article and the data but we can find most of them easily. However, I don't know how to find the edge based directional features described in the above paper in this data set. Thanks again",0,None,4,Wed Mar 06 2013 12:16:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3982,/competitions/icdar2013-gender-prediction-from-handwriting,48th
/issamlaradji,How would someone use the image_gender.zip?,"Hi folks, I am wondering how would someone attain better classification accuracy using the images, the ones which show the written passages by different genders. Are there techniques to extract features from such images? In my opinion, it's very challenging",0,None,3,Wed Mar 06 2013 15:21:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3984,/competitions/icdar2013-gender-prediction-from-handwriting,6th
/chrisnunes,FYI - (Study) Patient-Hospital engagement via social media correlates to improved mortality rates,"For those submissions with a social media component designed to help patients interact with the hospitals' websites and social media profiles, see the following study article... ""Likes"" Correlate with Lower Hospital Death Rates by [Link]:http://www.mediapost.com/publications/author/1080/erik-sass/, 3/6/2013 2:30pm PDT Hospitals with more Facebook “likes” tend to have lower death rates, according to a new [Link]:http://ajm.sagepub.com/content/early/2013/01/31/1062860612474839.full.pdf recently published in the American Journal of Medical Quality. The study, titled “Do Patients ‘Like’ Good Care? Measuring Hospital Quality via Facebook,” was based on a survey of all 82 hospitals within a 25-mile radius New York City. The researchers identified 40 hospitals with Facebook pages, and then examined the relationship between 30-day mortality rates, as measured by the U.S. Department of Health and Human Services, and the number of Facebook likes; they also examined the relationship between “Likes” and patient recommendations from surveys. Adjusting for a number of variables, including the size of the hospitals and the length of time they have been on Facebook, the survey found that there was a “strong negative, statistically significant relation­ship between 30-day mortality and Facebook ‘Likes’ and a positive, statistically significant relationship between patient recommendation and Facebook ‘Likes.’” Regarding the first relationship, a 1% increase in patient mortality was correlated with a 12.35% decrease in patient satisfaction, as reflected in Facebook “Likes.” Meanwhile, on average, a 1% decrease in patient mortality was correlated with 93 more Facebook “Likes.” Facebook likes were also correlated positively with the number of posts by hospital administrators, the number of posts by community members, and the number of response by hospital administrators to community posts -- all of which suggests an engaged social media presence correlates with a positive hospital experience. Interestingly teaching hospitals, despite their supposed higher quality of care, were less likely to be liked on Facebook than non-teaching hospitals. Read more: [Link]:http://www.mediapost.com/publications/article/195166/likes-correlate-with-lower-hospital-death-rates.html?edition=57450#ixzz2MnxcGIDG",0,None,1,Thu Mar 07 2013 00:27:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3990,/competitions/hospital,None
/gtakacs,Possible issue about the submitted models,"Hi Ben, My assumption is that the prediction script contained in the submitted model should not have any parameters besides an input directory name, and an output file name (and possibly the cutoff time associated with the test day). Are other parameters allowed or not? The problem with them is that they make possible to tune the final prediction for the final evaluation set. What happens, if a contestant's prediction script has extra parameters? Taki",0,None,1,Thu Mar 07 2013 22:42:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3992,/competitions/flight,3rd
/ethanclark,Two Audio questions,"Hi, 1) Just to be clear, the audio files really just capture the sounds taking place around the individual's phone, right? I'm just struggling to think why this might be useful for predicting Parkinson's.... 2) Could you help me better understand the ""hdl_audio_[Participant].log"" files, as the study overview says it contains ""A log of all activites prompted and performed by the application relating to audio""? Maybe I'm not extracting the files correctly....when I open one of these files, I get info like this : 2012/01/26 15:34:36: Created com.humdynlog.AudioWriter instance 2012/01/26 15:34:36: Audio bufferSize (bytes): 16000 2012/01/26 15:34:36: Raw streaming: false 2012/01/26 15:34:38: Frequency band edge 0: 51 2012/01/26 15:34:38: Frequency band edge 1: 256 2012/01/26 15:34:38: Frequency band edge 2: 512 2012/01/26 15:34:38: Frequency band edge 3: 1024 2012/01/26 15:34:38: Frequency band edge 4: 2048 2012/01/26 15:36:16: Created com.humdynlog.AudioWriter instance 2012/01/26 15:36:16: Audio bufferSize (bytes): 16000 2012/01/26 15:36:16: Raw streaming: false 2012/01/26 15:36:18: Frequency band edge 0: 51 2012/01/26 15:36:18: Frequency band edge 1: 256 2012/01/26 15:36:18: Frequency band edge 2: 512 2012/01/26 15:36:18: Frequency band edge 3: 1024 2012/01/26 15:36:18: Frequency band edge 4: 2048 2012/01/26 15:36:25: Audio recording started 2012/01/26 15:37:21: Audio recording try to stop 2012/01/26 15:37:21: Audio feature stream successfully stopped 2012/01/26 15:44:44: Audio recording started 2012/01/26 16:00:00: Audio feature stream successfully restarted QUESTION: Am I looking at these log's correctly? Is this the 'list of activities'? Thanks!",0,None,4,Thu Mar 07 2013 23:16:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3993,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/zhangli,Cannot download data files,"Hi, I am logged in, but when I ""download"" the files, they are 0 bytes on my computer. Even the informational pdf files don't open up in my browser when I click on them, as if they have been deleted from your servers...? Also, I am wondering if we can use wget to download the files more easily. I tried using wget, passing my username and password, but I could not get the files that way either. Thanks!",0,None,3,Fri Mar 08 2013 02:28:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3994,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/ghassemkeshavarzi,please guide me,Please can someone guide me about random forest? How do I find random forests help in MATLAB? By what name do I search?,0,None,3,Fri Mar 08 2013 21:51:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3996,None,None
/sigint,Looking for a local teammate in SiliconValley/SouthBay,"Hi all, I am looking for a teammate. Anyone interested in working on this competition together? It would be great to bounce off ideas, experiment on fancy ideas and see how it goes .. I am located in SiliconValley/SouthBay area, and strongly prefer locals. I use Perl, and no libs. But, I welcome anyone using R or Python, or any other different approach, so blending the results should grind out the anomaly and bump up the score?? Please PM me if you are interested, and have beaten the random-forest benchmark. :)",1,None,1,Sat Mar 09 2013 04:20:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3997,/competitions/job-salary-prediction,32nd
/barrenwuffet,Fast transfer to EC2,Does anyone have any suggestions for moving large data sets from Kaggle to an EC2 instance. Currently I'm downloading them from Kaggle to my computer then uploading them to AWS EC2. This is a bit of a hassle for large (1+ Gb) files. Any ideas would be appreciated.,3,None,5,Sat Mar 09 2013 19:17:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/3998,None,None
/smcinerney,How to add crossvalidation to scikit RandomForestRegressor?,"The randomforest benchmark is nice, but Python's scikit RandomForestRegressor doesn't do n-fold crossvalidation, unlike R's [Link]:http://cran.r-project.org/web/packages/randomForest/index.html or Vowpal Wabbit. (So, you can't really measure if you're improving the NLP or bag-of-words algorithms, on the training set - without making a needless submission. But if we switched to R, hauling the bag-of-words features into R is a giant pain, and then we can't easily iterate back in scikit with the result) Can anyone sketch out an easy and efficient way to add n-fold crossvalidation on top of scikit RandomForestRegressor? (if I add 10-fold crossvalidation I don't also want to blow up my runtime by 10x) If not, do I just give up on the benchmark code and go to VW? What are the rest of you doing?",0,None,6,Sun Mar 10 2013 06:22:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4000,/competitions/job-salary-prediction,267th
/jimmccollum,Clarification: x.PSD.1,"My team and I are wondering if someone can clarify what exactly the x.PSD.1, x.PSD.3, x.PSD.6, and x.PSD.10 variables are capturing? How is ""motion energy"" defined? What do the descriptions of the ranges, low, low-mid, mid-high, high, refer to? Why are these variables labeled PSD? Thanks for the help!",0,None,1,Sun Mar 10 2013 08:11:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4001,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/rolandkofler,Are teams allowed?,"I think learning experience would even be greater if we build teams and work together. I see the Kaggle platform encourages team building, but has some restrictions as it is moderated by the hosts. Are the competition hosts Ahmadou and Philip confortable with managing the team formation according to Kaggle rules? Are those Kaggle rules even important for us in this regard?",0,None,5,Mon Mar 11 2013 14:18:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4003,/competitions/predict-human-activity-using-smartphones,30th
/joelpulliam,Timing of competition?,"I see there are '45 days to go.' Does that mean I can make a submission anytime in the next 45 days? Or, are there other deadlines that we need to know about?",0,None,1,Mon Mar 11 2013 14:53:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4004,/competitions/predict-human-activity-using-smartphones,50th
/void32,"Retrieve labels for the 54,503 testing samples after the deadline","Hello We are using this competition for our master thesis. Is it possible to retrieve the labels for the 54,503 testing samples after the deadline (April 8th)? Cheers Morten",1,None,4,Mon Mar 11 2013 15:58:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4005,/competitions/whale-detection-challenge,121st
/lisasolomon,Hands-on Webinar Series (no charge) The Evolution of Regression from Classical Linear Regression to Modern Ensembles,"Maybe you missed Part 1 of ""The Evolution of Regression Modeling from Classical Linear Regression to Modern Ensembles"" webinar series, but you can still join for Parts 2, 3, & 4 Register Now for Parts 2, 3, 4: [Link]:https://www1.gotomeeting.com/register/500959705 Download (optional) a free evaluation of the SPM software suite v7.0 (used in the hands-on components of the webinar). As a webinar participant you will qualify for a 60-Day Evaluation of the software at no charge: [Link]:http://2.salford-systems.com/the-salford-predictive-modeler-download/ Course Outline: Overcoming Linear Regression Limitations Regression is one of the most popular modeling methods, but the classical approach has significant problems. This webinar series addresses these problems. Are you working with larger datasets? Is your data challenging? Does your data include missing values, nonlinear relationships, local patterns and interactions? This webinar series is for you! We will cover improvements to conventional and logistic regression, and will include a discussion of classical, regularized, and nonlinear regression, as well as modern ensemble and data mining approaches. This series will be of value to any classically trained statistician or modeler. Part 2 (Hands-on): March 15, 10-11am PST - Hands-on demonstration of concepts discussed in Part 1 (Classical Regression, Logistic Regression, Regularized Regression: GPS Generalized Path Seeker, Nonlinear Regression: MARS Regression Splines) • Step-by-step demonstration • Datasets and software available for download • Instructions for reproducing demo at your leisure • For the dedicated student: apply these methods to your own data (optional) • Part 1 recording: [Link]:http://www.salford-systems.com/videos/tutorials/805-the-evolution-of-regression-modeling-part-1 Part 3: March 29, 10-11am PST - Regression methods discussed *Part 1 is a recommended pre-requisite • Nonlinear Ensemble Approaches: TreeNet Gradient Boosting; Random Forests; Gradient Boosting incorporating RF • Ensemble Post-Processing: ISLE; RuleLearner Part 4: April 12, 10-11am PST - Hands-on demonstration of concepts discussed in Part 3 • Step-by-step demonstration • Datasets and software available for download • Instructions for reproducing demo at your leisure • For the dedicated student: apply these methods to your own data (optional)",2,bronze,1,Mon Mar 11 2013 20:13:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4008,None,None
/cardinalfang,If you submit a worse prediction...,"does your score go down? Or does it use the best prediction you've submitted? Sorry, I'm new here.",0,None,4,Wed Mar 13 2013 03:29:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4014,/competitions/predict-human-activity-using-smartphones,16th
/jsradford,Kaggle Analytic Philosophies,"Hi Everyone, I can't say I'm new to Kaggle or Data Science. I've competed, participated in the forums, and generally lurked around for the past 4-6 months. I've also been working with a big dataset for my own research for the past two years with wonderful results. But, I feel like I just don't have the time to really develop code I believe in for Kaggle. So, I wanted to throw the question out there to fellow Kagglers of how you organize your work on Kaggle competitions. I spend 98% of my time on theory generation, data transformation, and quality checking to make sure my code works for the right reasons, with the right indicators, on the best data. But, alas, this is an incredibly inefficient approach to a competition given that I might only submit one or two algorithms at the last minute from the five or six I develop all the way through based on the roughly hundred I create in testing. This inefficiency, while reasonable, inhibits me from really participating in the competitions. So, how do you work? Do you throw all of the data in random forests (or other, appropriate estimation models) as a baseline, then begin submitting with tweaks to variables or the estimation model to improve the accuracy, and continue until you find a model with the best performance? Or, do you spend a lot of time with the documentation, look at data structure, examine simple models, and then begin building code from your bootstraps? These are obviously caracutures, but I would like to know how you step through the process of turning the raw files into predictive models efficiently and effectively. I appreciate your input.",1,bronze,1,Wed Mar 13 2013 03:50:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4015,None,None
/pprett,Publish Final Evaluation Set,"Hi organizers, I wanted to ask if you intend to publish the final evaluation set once the competition is over? I'd really appreciate that because it would allow the contestants to do post-mortem analysis of their models and to create some lessons-learned from this competitions. thanks, Peter",5,silver,2,Wed Mar 13 2013 09:15:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4016,/competitions/flight,10th
/analyticbastard,Cloud computing,"Hi. I have never used cloud computing to perform data analysis. How is this done? What are the main benefits (apart from memory capabilities, processor, etc)? What are the costs, how to contract the service, etc? Cheers!",3,None,3,Wed Mar 13 2013 13:33:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4018,None,None
/kubokonecny,Kaggle In-Class for non-profits?,"Hello, I am one of organizers of Trojsten --- Slovak non-profit organisation. We have been organizing competitions in Maths, Physics and Informatics for most talented high-school children for 20+ years. Now we think about organizing a pattern recognition competition primarily for high-school kids, together with a local company that would provide some prizes. I would like to ask this in big advance - could Kaggle host a self-managed competition like this free of charge? Thanks!",0,None,1,Wed Mar 13 2013 21:36:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4019,None,None
/santhoshvenkatraman,R team members,"Hello All, I have just started in Data analysis. I already attended a three week coursera class on Introduction to R. I am looking for team members who can work through R (prefarably) or anyother languages in data analysis. Let me say I don't know anything on this and want to learn. I would like to invite you people if you want to join in my team so that we can learn as we do or if anyother team is like this, I can join. Thanks, Santhosh",0,None,6,Thu Mar 14 2013 07:46:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4022,/competitions/titanic,None
/maneeshvarshney,Too slow or out of memory problems in Machine Learning/Data Mining,"What are some of the problems in machine learning, data mining and related fields that you have difficulties with because they are too slow or need excessively large memory? As a hobby research project we built an out-of-core programming model to handle data larger than system memory and it natively supports parallel/distributed execution. It showed good performance on some problems (see below) and we wish to expand this technology (hopefully community-driven) for the real life problems. Some benchmarks (against Weka, Mahout and R): a) Apriori Algorithm for frequent itemset mining [CPU-bound but average memory] Webdocs dataset with 1.7M transactions over 5.2M unique items (1.4GB). The algorithm finds sets of items that appear frequently in transactions. For 10% support level, Weka3 could not complete this job in 3 days. Our version completed in 4hr 24 min (although to be fair, we used Tries instead of hashtables as in Weka). More importantly though, on one 8-core machine it took 39min, on 8 machines -> 6min 30sec (=40x) b) SlopeOne recommendation engine [High memory usage] MovieLens dataset with 10M ratings from 70K for 10K movies. SlopeOne recommends new movies based on Collaborative Filtering. Apache Mahouts ""Taste"" non-distributed recommender would fail for less than 6GB memory. To benchmark the out-of-core performance, we restricted our version to 1/10th of this limit (600MB) and it completed with 11% overhead (due to out-of-core) in execution time. c) Dimensionality Reduction with Principal Component Analysis (PCA) [Both CPU and Memory bound] Mutants ""p53"" protein dataset of 32K samples with 5400 attributes each (1.1GB). PCA is used to reduce the dimension of dataset by dropping variables with very small variances. Although our version could process data larger than system virtual memory, we benchmarked this dataset since the R software can process it. R completed the job in 86 min. Our out-of-core version had no additional overhead; in fact, it completed in 67min on single-core and 14 min on 8-core machine. The excellent software today either work for data in Megabytes range by loading them in memory (R, Weka, numpy) or tera/petabytes range for data centers (Mahout, SPSS, SAS). There seems to be a gap in the Gigabytes range -- large than virtual memory but less than ""big data"". Although, projects like numpys Blaze, R bigmemory, scalapack etc are addressing this need. From your experiences, can you relate examples where such a faster and out-of-core tool can benefit the data mining/machine learning community? [This question is [Link]:http://stackoverflow.com/questions/15419411/too-slow-or-out-of-memory-problems-in-machine-learning-data-mining, if you prefer to comment there]",1,None,2,Thu Mar 14 2013 21:41:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4024,None,None
/mmarrow,Repeat waveforms,"I have noticed that some of the aiff waveforms appear multiple times, in particular, many of the files between train23747.aiff and train24000.aiff. For example, train23747.aiff is the same as train23748.aiff, train23749.aiff, train23751.aiff, train23754.aiff ....(there appears to be > 100 repeats). Has anyone else observed this? (While its possible that I may have corrupted my aiff files, I think it's unlikely)",1,bronze,16,Thu Mar 14 2013 22:23:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4025,/competitions/whale-detection-challenge,15th
/onewind,0 value,should be treated as missing value? or something is really 0?,0,None,1,Fri Mar 15 2013 03:30:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4027,/competitions/icdar2013-gender-prediction-from-handwriting,96th
/chriskorn,Can we use knowledge of previous auctions?,"This may be a silly question, but I haven't found an answer yet: Let's assume we need to estimate a price for an auction of machine 12345. From the training and/or validation data, we know that this machine has been auctioned n > 0 times previously, and (in case of training data), we also know at what price. Are we allowed to use this knowledge? Without having verified this yet in the training data, I am assuming that machines with lots of previous owners may incur a price penalty. Thanks for answering!",0,None,1,Fri Mar 15 2013 08:52:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4030,/competitions/bluebook-for-bulldozers,320th
/phillipadkins,Loading the Data in R,"I can't seem to get R to load the location data in such a way that there are individually accessible entries for each data point. If I use read.csv or read.table, it all binds in one huge entry. The problem as I see it is that the data aren't separated by any character - no commas, no spaces - they're just separated by double quotes. However, I can't use this as a delimiter... What to do??",0,None,1,Fri Mar 15 2013 19:44:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4033,/competitions/job-salary-prediction,272nd
/bertbert,Number of Pages in Submission,"I was looking at the evaluation page (http://www.kaggle.com/c/predicting-parkinson-s-disease-progression-with-smartphone-data/details/evaluation), and I am unclear on how many pages could be included in the submission. The first two bullet points say the following: Submissions to the contest will include an entry describing all data/inputs, use of the data, preliminary findings/evidence to support the use of objective, passively collected data points to address the contest objectives and the potential utility if used in a broader way. All entries must include a narrative explaining what you did with the data (no more than 5 pages). But does the five pages include both the first bullet and the second bullet, or does the five pages only include the second bullet and we have freedom to decide how many pages to submit for the first bullet?",0,None,3,Sun Mar 17 2013 00:33:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4036,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/ramarlina,Seasonality in the Dataset,"I was playing around with data, I took the average sale price of bulldozers month by month from 1989 to 2011. I plotted the averages, I attached the plot for those who might be interested. There's clearly some seasonal effects on the sales prices of the machines. Look at this for example, January has had the lowest average sales price 22 times in 23 years. We are asked to predict sales prices for January - April 2012 (Late Winter - early spring). The challenge I have right now is finding efficient ways of including seasonality of prices in my model. I tried trainning models different models on different seasons, and one general model on the whole dataset then taking the average of the season model and the general model but made no improvement. I also already have the month number (0 - 11) in my set of features. What are some of the best ways to take seasonality into account in this particular competition? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/6121/month_by_month.png",2,bronze,3,Sun Mar 17 2013 01:02:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4037,/competitions/bluebook-for-bulldozers,82nd
/ahassaine,parameters for the spectrogram in the data page?,"Hi! I tried to reproduce something similar to the spectrogram shown in the data page, but I did not manage to. Did anyone manage to obtain something similar using matlab? Thanks, Ali",0,None,2,Sun Mar 17 2013 17:26:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4039,/competitions/whale-detection-challenge,92nd
/panyan,The naming rule of your team name,"Hi, all, Please remember to create your team name in the following format: <student number>_<your Chinese name>_<your class>",0,None,1,Mon Mar 18 2013 04:48:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4043,/competitions/data-mining-sysu,4th
/enekoagirre,Is it possible to develop a system and get test scores after the competition is closed?,"I wonder if I could work on this problem after the competition is closed, and compare my system with the results on the dashboard. best eneko",1,None,2,Mon Mar 18 2013 09:25:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4044,/competitions/event-recommendation-engine-challenge,None
/easydraw,My score of 0.97886 is with all Coursera data,"I initially misunderstood the rules and used the complete train data available in Coursera platform. But don't bother: I unchecked the submission. If it's possible to erase completely my submission, please do. Sorry about it, but I didn't it on purpose. Good luck!",3,bronze,9,Tue Mar 19 2013 11:08:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4048,/competitions/predict-human-activity-using-smartphones,8th
/gallamine,Can Kaggle come up with the best NCAA tournament bracket?,"So my office is passing around NCAA tournament brackets (for those outside the US, this is the national college basketball competition) to fill out for an entry fee, and the person that gets the most correct tourmanet braket winners get to take home the whole pot of money. I don't much care about basketball, or sports in general, but it got me thinking. How would Kagglers fill out a bracket? How would you a approach picking sports game winners and losers? Not having much ""inside"" knowledge of Basketball puts me at a disadvantage (maybe), but it also frees me from preconceived notions of who should win and who shouldn't. So, what are some quantafiable metrics for determining who will win a sports game?",0,None,1,Tue Mar 19 2013 15:39:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4050,None,None
/cipolla,Which is a better strategy for a beginner?,"Hello all, As some of the guys here, I am also new to the area of predictive modelling. I gained most of my knowledge on this topic from the Coursera courses and Caltech machine learning on-line lectures. I am now reading the big book of the elements of statistical learning for a better and broader understanding of the subject. I found even this ""warm-up"" exercise of Titanic is quite challenging for me. I submitted a couple of times and the best result I can get is just from a very simple logistic regression model. So there are vaguely two ways to go: 1. keep focusing on the logistic regression and try to dig more from the data such as: understand how the ticket are priced, study the dominance of the sex factor (as some of you mentioned) ... 2. keep looking for a fancier method for instance the general additive model, random forest, ... Which do you think is a better way to go? I just tried using natural cubic spline basis and got the worst result in all my submissions :( Thank u!",0,None,3,Wed Mar 20 2013 01:34:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4054,/competitions/titanic,None
/smcinerney,Visualizing individual RandomForestRegressor trees?,"The individual [Link]:http://scikit-learn.org/dev/modules/generated/sklearn.ensemble.RandomForestRegressor.html trees can be accessed at regressor.estimators_ How can we visualize/draw the actual tree, with labeled variables and splits? (I know the caveat that we shouldn't pay too much attention to them, we should look at overall OOB error and feature importance. But I just want to sanity-check them. I'm seeing that adding low-quality features actually seriously degrades OOB error. Any advice on feature selection?)",0,None,3,Wed Mar 20 2013 01:50:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4055,/competitions/job-salary-prediction,267th
/jasonsumpter,A question for those using gbm in R,"When running the gbm package with verbose=T the progress is given. Can someone explain what the improve column represents or tell me if I have it right? Is 0 the optimal number in the improve column? I know I can use cv.folds, oob, train.fraction to determine the best number of iterations but if I don't run enough iterations is this information useful? Let's say after 500 trees the last few 'improve' numbers are around 2000. It is going to give best iterations of close to 500. If I run it out to 2000 trees and the 'improve' crosses 0 around 1500 trees and starts bouncing back and forth above and below 0 it seems that it is going to give a best iteration anywhere above 1500. Let me try to answer my own questions and tell me if this is right. The best iteration won't be useful until your 'improve' reaches 0. This is point where the where gbm is close and starts looking for the true best iteration. The number of trees should be set to a point where you cross 0 with 10-20% trees still to run so that it can find the best iteration. Or will the additional trees lead to overfitting? Thanks.",0,None,1,Wed Mar 20 2013 14:58:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4061,/competitions/bluebook-for-bulldozers,43rd
/simonmaby,Effective trained set size,"Hi, I'm pretty new to machine learning and i wanted to know if you guys are training your models on the whole training set (~400000 intances) or on a subset of it. I can't run my algorithms on such an amount of data because of RAM limitation so i am using a little subset for the training (<20 000 instances). Am i doing right or should i find a way to handle the whole data? PS : I am using Weka to train the model Thank you!",0,None,6,Wed Mar 20 2013 15:32:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4063,/competitions/bluebook-for-bulldozers,350th
/seango,the test.csv does not including 'activity' column?,"so, i dont konw how to get the error rate of prediction result. thanks!",0,None,1,Wed Mar 20 2013 15:54:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4064,/competitions/predict-human-activity-using-smartphones,None
/barrydillon,Telling me I've had my submission when I have no,For the last few days the website has been telling me that I have used up my submission for today even though my submissions list shows that I haven't uploaded in almost a week. Is there something I need to clear on my pc to enable me to upload or is the system overwhelmed ? thanks Barry Dillon,0,None,12,Wed Mar 20 2013 18:35:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4065,/competitions/hhp,76th
/alecradford,Misformatted Images included in dataset?,Images 474 to 479 appear to be unproperly formatted or from some other data set. They contain what looks like many uncropped signatures from the same writer with the labels Refrences and Disguise under them. I haven't checked if the paths labeld for those images are synched to those pictures yet or not.,0,None,3,Thu Mar 21 2013 05:45:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4068,/competitions/icdar2013-stroke-recovery-from-offline-data,3rd
/cartersibley,Suggestion:  consolidated forum for winning code submissions,"Hello, all. I was wondering if it would be easy or popular (or both) to create a forum with just the sumbitted code from winners (and others) in each competition. Obviously, its only a few extra clicks to go to each competition forum, find the winning submissions topic, and pull down results. Still, I think a centralized, easy-to-find forum in the ""General"" section - with one clearly labled topic for each comp. - would ensure that more members of the community viewed, downloaded, and learned from winning code entries (and explanatory content). Also, it might ensure that if comp. forums ever get archived, the winning code topics are still preserved for 'posterity'. Just a small idea, but wanted to throw it out there to see if others agreed. Thanks!",0,None,2,Fri Mar 22 2013 16:04:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4077,None,None
/jputrevu,Are the sale prices adjusted for inflation?,"This is to the mods. The data we have is from 1989, which is a long time back. There is a definitely an affect of inflation on the prices. So are they adjusted in the data or should we adjust them ourselves? Is it necessary?",0,None,1,Fri Mar 22 2013 19:10:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4080,/competitions/bluebook-for-bulldozers,57th
/xumengxiang,How do I improve the benchmark score?,"I've just started learning data mining, many of the concepts are new to me. So far I've tried the benchmark code. What are some newbie friendly ways to change train.py to improve the score?",0,None,3,Sun Mar 24 2013 03:42:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4085,/competitions/job-salary-prediction,68th
/chipchristensen,Submission Warning,"[Link]:https://www.kaggle.com/c/icdar2013-stroke-recovery-from-offline-data/submissions Expected no more than 6 columns, but 7 columns found. Ignored extra 1 column I got this warning associated with my submission. The submission_example is simply the test dataset. Column 6 is x and column 7 is y. Does this affect the scoring? or should the warning be ignored?",0,None,1,Sun Mar 24 2013 22:30:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4088,/competitions/icdar2013-stroke-recovery-from-offline-data,8th
/kyle11,提交的结果全为0.3也能过...,RT，闲的无聊试了下把结果全都写成0.3，然后提交，居然刚好踩线.....如果多试几次应该可以有更好的成绩.... 这样的话，只要最后的结果控制在0.2-0.5之内，哪怕算法有错，感觉都能过...,0,None,3,Mon Mar 25 2013 05:03:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4090,/competitions/data-mining-sysu,97th
/nsankar,Scikit learn - Multi-core processing,"When I used scikit learn RF with the arguments njobs=8 or njobs=4 (I have an 8 core server), I am able to see that the cores[cpu] are getting loaded fully. But the processing goes on indefinitely. The memory keeps going up [probably memory leak] and I have to interrupt when the memory is close to max [8GB] . It happened on two of my machines. Has anyone been able to successfully distribute the job across cores with the njobs argument when using scikit Thanks Sankar",0,None,11,Mon Mar 25 2013 06:46:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4091,/competitions/bluebook-for-bulldozers,467th
/ryanjsmith,Unnormalized X & Y values?,"Could the organizers provide the raw x & y values for the pressure pen before normalization? The normalization makes registration of the pen data to the image data in the training set slightly less accurate. I understand that we can estimate the image skeleton, crop it and register to the skeleton. Still, I would prefer the unnormalized values for better matching of image features to pen location.",0,None,2,Tue Mar 26 2013 00:49:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4099,/competitions/icdar2013-stroke-recovery-from-offline-data,19th
/d3potf,External Data,"What are the rules regading use of external data? If I make up a bunch of really simple signatures to get started can I use these as part of the machine learned algorithmn to detect starts and finishes? Signatures that can be split into seperate squiggles , if i manually split them up to increase my training set is that OK? Regs D3",0,None,1,Tue Mar 26 2013 01:41:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4100,/competitions/icdar2013-stroke-recovery-from-offline-data,11th
/hikerclimb,General Questions,-what are the execution times for some of the fastest programs which are able to do this? Do actual production systems preprocess some of the data(guessing yes)? I have a i7 desktop and 16GB of ram and it still takes quite a while to run the program. Thinking of doing GPU programming to speed up execution of code.,0,None,7,Tue Mar 26 2013 06:02:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4102,/competitions/icdar2013-stroke-recovery-from-offline-data,10th
/ashimkapoor,Importing data in Octave,"Dear all, I am trying to import the data file Train.csv into Octave. On trying the command :- T = importdata('Train.csv') it says error:importdata undefined near column 1 line 5 T = load('Train.csv') it says error: load: Train.csv:inconsistent number of columns near line 2 and error: load: unable to extract matrix size from file 'Train.csv' T = csvread('Train.csv') takes forever. Could some one point me in the right direction? Many thanks, Ashim",0,None,1,Tue Mar 26 2013 08:10:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4103,/competitions/bluebook-for-bulldozers,None
/lisasolomon,Webinar Series: Regression Advances: Modern Ensemble and Data Mining Approaches,"Modern Ensemble and Data Mining Approaches Part of the series: The Evolution of Regression from Classical Linear Regression to Modern Ensembles Hands-on, No charge Registration Link: [Link]:https://www1.gotomeeting.com/register/500959705 All registrants will automatically receive access to recordings of earlier sessions which covered: Classical Regression, Logistic Regression, Regularized Regression, Nonlinear Regression, MARS Regression Splines Course Abstract: Overcoming Linear Regression Limitations Regression is one of the most popular modeling methods, but the classical approach has significant problems. This webinar series addresses these problems. Are you working with larger datasets? Is your data challenging? Does your data include missing values, nonlinear relationships, local patterns and interactions? This webinar series is for you! In our March 29th session we will focus on modern ensemble and data mining approaches. These methods dramatically improve the performance of weak learners such as regression trees. The techniques discussed here enhance the performance of regression trees considerably. These methods inherit the good features of trees (variable selection, missing data, mixed predictors) and improve on the weak features such as prediction performance. March 29, 10-11am PST - Regression methods discussed: Nonlinear Ensemble Approaches: ---TreeNet Gradient Boosting ---Random Forests ---Gradient Boosting incorporating Random Forests Ensemble Post-Processing: ---ISLE Importance Sampled Learning Ensembles ---RuleLearner rule based learning ensembles April 12,10-11am PST - Hands-on demonstration of concepts discussed in Part 3 Step-by-step demonstration Datasets and software available for download Instructions for reproducing demo at your leisure For the dedicated student: apply these methods to your own data (optional)",2,bronze,1,Tue Mar 26 2013 19:48:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4105,None,None
/mhz888,How is accuracy calculated?,"Can anyone shed any light on how the accuracy metric is calculated? Is it using sensitivity, specificity, number of off diagonal terms / total number of terms in confusion matrix, positive prediction value, negative prediction value? Any help would be greatly appreciated.",0,None,4,Wed Mar 27 2013 14:55:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4106,/competitions/titanic,None
/zygmunt,Benchmark code,Is benchmark code available for this competition?,0,None,1,Wed Mar 27 2013 21:09:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4109,/competitions/icdar2013-stroke-recovery-from-offline-data,None
/sashikanthdareddy,CHECKIN?,"Hi, What does checkin mean?",0,None,2,Wed Mar 27 2013 22:48:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4112,/competitions/yelp-recruiting,67th
/crunchthedata,Clarification Request: The Usual Questions About Text Mining and Rules about External Datasets,"The Short Version: What counts as an external dataset? Specifically, are standard and publically available resources used in text mining like dictionaries allowed? The Long Version: For most Kaggle competitions there's a rule about no external datasets. This is usually intended to keep you from scraping information from other websites and using it to improve your prediction (other yelp reviews out of the sample, reviews from other sites etc.). Someone always brings up that this also strictly prohibits basic text mining tools that use a dictionary to establish stop words, the meaning of words, or synonyms. Given that the single key variable is the review, it's begging for text analysis. Is Wordnet off limits? Is Stanford NLP off limits? Is an ontology database like freebase or dbpedia off limits? Please clarify and be precise.",0,None,8,Thu Mar 28 2013 09:09:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4117,/competitions/yelp-recruiting,314th
/zhenbinweng,"求问，系统的标准答案是不是0,1,2？还是小数呢？",如题,0,None,5,Thu Mar 28 2013 10:10:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4118,/competitions/data-mining-sysu,9th
/aymenj,How to handle missing data in factor features,"Hi everyone, I'm trying to deal with NAs and missing data in the training and the test sets and I have a question regarding factor features. I'm facing two cases: - AuctioneerID : 95% of the data is available (30 levels) - UsageBand : 17% of the data is available (3 levels+NAs) What should I do in both those cases to fill blanks ? Should I take the most represented levels for both ? Or should I create a new level ? I created a new class for my previous submissions but seems like I may be loosing some info Thanks in advance for your help ! Aymen",0,None,2,Thu Mar 28 2013 14:34:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4119,/competitions/bluebook-for-bulldozers,384th
/lijiefei,a question,"I just figure out that maybe we can google the review and get the original yelp review page, then we can get the true useful counts. Is it right?",0,None,3,Thu Mar 28 2013 16:19:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4120,/competitions/yelp-recruiting,None
/paulbutler,Quick n' dirty .CSV conversion (Python/Pandas),"For those who prefer working with .csv files, here's a Python script for converting the dataset. Just run python convert.py in the same directory as the .json files. https://gist.github.com/paulgb/5265767",34,gold,7,Thu Mar 28 2013 19:48:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4122,/competitions/yelp-recruiting,126th
/wcukierski,Minor test set quotation fix,"Yelp fixed a minor string quoting issue with the test set. There is a replacement tarball on the data page. It's all the same data, just with double quotes in the right places.",0,None,8,Thu Mar 28 2013 23:25:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4123,/competitions/yelp-recruiting,None
/jscheibel,make the offical rules public?,"I don't really care myself, but in the intrest of yelp getting the most applicants they can, I think you should probably make the offical rules public as in not requiring accepting the kaggle rules before you download them. I mean it just seems really weird to have to accept one set of rules to read a seperate set of rules :)",0,None,2,Fri Mar 29 2013 01:32:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4126,/competitions/yelp-recruiting,None
/herimanitra,Useful vote definition not clear,How can we define that a review is useful?,0,None,3,Fri Mar 29 2013 03:45:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4127,/competitions/yelp-recruiting,62nd
/pdubbs,Help With Logit Model,"Hi all. I'm having troble getting output from a logit model. Everytime I run glm() I get a combination of coefficients that are redicuolusly big (order 10^7) and NAs (usually beginning at directions_hist1a2a3a4_40[4]). I have eliminated variables that are <.001 in more than 50% of cases, transformed the data by (x-avg(x))/sd(x), all to no avail. I really just need to get the benchmark model to work properly and I'll be good to go, but for some reason no matter what I do there are NA values in the model. Anyone have any advice? Thanks in advance, Pdubbs",0,None,2,Fri Mar 29 2013 05:31:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4128,/competitions/icdar2013-gender-prediction-from-handwriting,71st
/benhamner,Welcome,"We're very excited to launch the Cause-Effect Pairs challenge, our third with [Link]:https://www.kaggle.com/users/381/isabelle and [Link]:http://www.chalearn.org/! Sample MATLAB code is available from the download page, and I've created a [Link]:https://github.com/benhamner/CauseEffectPairsChallenge to help those without expensive MATLAB licenses get started. Isabelle will be available on the forums to talk about the data and problem formulation. Good luck on the contest, and please let us know if you have any questions!",0,None,1,Fri Mar 29 2013 08:30:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4129,/competitions/cause-effect-pairs,None
/sashikanthdareddy,Why only businesses in Arizona?,I just did a frequency of businesses by State and found the following. Why did you choose only (mostly) Arizona businesses? State Count AZ 11534 CA 1 CO 1 SC 1,0,None,2,Fri Mar 29 2013 12:43:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4132,/competitions/yelp-recruiting,67th
/berniegan,The purpose of predicting usefulness and way to evalute the prediction,"I have a question about the purpose of predicting usefulness and way to evalute the prediction. In the intro of the competition, it says ""However, another extremely important quality feature is the freshness of a review. What if we didn't have to wait for the community to vote on the best reviews to know which ones are high quality? The goal of this competition is to estimate the number of Useful votes a review will receive."" I understant this as to identify the most useful reviews for the community regardless how long the reviews have been posted. The motivation is that some reviews are too new to get the votes, therefore we need to predict their useful votes to help readers. that said, what we predict is the ""potential"" votes of the reviews. To evaluate the prediction, we need to use the ""stable"" cases that have a reasonable history. Use the ""fresh baked"" review's vote to evluate its ""potential"" vote does not make much sense. The test dataset was recorded on 3/12/2013, as I checked it, the minimum history of the reviews in the test dataset is about two weeks. My question is: Does the competition design team think about this issue? and more important, is two week exposure ""reasonably"" long enough to get the votes to evaluate the prediction? I don't have the statistics, but if you could look at the distribution of number of votes over dates (I believe you have recoreded when a vote was casted to a specific review), it will be useful to determine a reasonable period of time of exposure.",1,bronze,1,Fri Mar 29 2013 21:13:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4135,/competitions/yelp-recruiting,346th
/madhurgupta,Where can I view detailed model documentation for the winning submissions?,"Hi, I am a beginner on Kaggle and quite new to the field of predictive analytics. I was going through the blog ""No Free Hunch"" to get a fair idea of how the details of the methodologies used by the winners of different competitions are presented on the website. I've noticed that the winners usually provide a general description about the methodologies that they have used, and not a detailed account of it, such as a description of the modeling tools/techniques used, codes, etc. After searching for a little more while, I found that only a few had posted their documentation in a very organized manner, complete with Readme files, etc, on Github. Could someone please tell me if such documentation is available for all the competitions that have ended, and if yes then where can I view it? It would be even better if we could get to view the winning submissions in the format that they were submitted in (with complete model documentation). Please let me know if such a facility exists on this website. It would be a big help to novices like me to be able to get a step-by-step glimpse of the process that goes into building such models. Thanks.",0,None,1,Fri Mar 29 2013 23:25:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4137,None,None
/mexicola,Formalism,"I wonder about the definition of ""A-B"" and ""A|B"" (e.g. in the details column of CEdata_train_target.csv). Can somebody help me out?",0,None,1,Fri Mar 29 2013 23:30:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4138,/competitions/cause-effect-pairs,None
/martinbeyer,Smartwatch Data,"Are smartwatches with accelerometers useful for compiling data on activity, dexterity, on/off periods, tremor, dyskinesia?",0,None,1,Sat Mar 30 2013 10:05:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4142,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/jolson,Was there ever any intention to award anyone the grand prize?,I just read the rules and I'm not impressed. The threshold a submission has to beat for there to be any grand prize payout at all was set only after a good amount of competition had already taken place. Was this so that the sponsor could comfortably set the level low enough that likely no one would reach it?,0,None,6,Sat Mar 30 2013 13:07:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4143,/competitions/hhp,None
/christophmolnar,Completeness of checkin data,"There are around 5000 businesses, which are not in the checkins data. Can we assume that nobody checked in yet for those businesses? Or do we just don't have the data. So are those all zeros or just missing values?",0,None,1,Sat Mar 30 2013 18:01:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4145,/competitions/yelp-recruiting,21st
/rajnish2,Submission file format,"Hi, I am getting follwoing error on submitting the result file. Could someone please help me out. Couldn't find matching destination row for 'LVc6c7dS2EtO7PY4MfKcEg' on sortable column 'id'. Did you include a row identifier that isn't in the solution file? (Line 2) What is row identifier here? Thanks",0,None,4,Sun Mar 31 2013 00:26:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4146,/competitions/yelp-recruiting,159th
/hidean,Question on data cleaning,"Hi Kagglers, I have a question on how to modify the following variable pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted) The values ""-1"" seems somewhat inconsistent. I was wondering if I should change it to NA (I am using R to build this classification model). Any advice would be greatly appreciated:) [Link]:http://archive.ics.uci.edu/ml/datasets/Bank+Marketing",0,None,2,Sun Mar 31 2013 11:57:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4150,None,None
/kylembrown,Where do I begin?,"Hello All, I have a project that I have been considering for sometime. Hopefully I can lean on your expertise to accelerate this process. Objective - I would like to build a report, supported by data, that shows what people are having the most trouble with from a tech support perspective with thier DSL (High Speed Internet). My initial plans: Were to gather the most discussed tech support terms on twitter via an api or manual search. Use specific phrases and keyword combinations in the query to gather this information. Structure the data, analyze and complie the report. Im not sure if im in the right place for this question but am interested in any feedback on my plans or any methods, recommendations, etc. Thanks, Kyle",0,None,4,Sun Mar 31 2013 17:23:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4152,None,None
/mykolapavlov,[Question for Kaggle Staff] How to team up on later stage of the competition? ,"I would like to invite a team member. But on the ""My team"" screen I got the message: ""The user is already on a team in this competition"" ""Only teams that have not made any submissions can be disbanded. To disband such a team, go to “My Team” from the competition Dashboard box and hit the “Disband team” button."" Is there any workaround for this issue?",0,None,1,Sun Mar 31 2013 19:10:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4153,/competitions/predict-human-activity-using-smartphones,4th
/rkirana,what kind of data prep for vw?,My top score is from a randomForest. (5700 odd) Looks like ppl have used vw successfully here to get 4000+ scores. What kind of data preparation was necessary? I could not get better than 6700 using vw!! anyways the test set is large and the same random forest model I am hoping will give better results as the number of commonalities between train and test (244K and122K rows) in this case will be larger,0,None,6,Mon Apr 01 2013 05:29:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4155,/competitions/job-salary-prediction,57th
/guillaumeguy,Data Format of checkin entries,"Hi, The content of the checkin vector is challenging me a bit. In particular, I am wondering the meaning of the names. At first, I was assuming it was DD/MM but ""10-0"" or ""0-5"" show that I was wrong and since we were not provided a data dictionnary, I'm putting this question here so that it helps others as well. Thx! head(checkin) [[1]] 11-3 8-5 15-0 15-3 15-5 14-4 14-5 14-6 14-0 14-1 14-3 0-5 1-6 11-5 11-4 13-1 11-6 17 1 2 2 2 1 3 6 2 2 2 1 1 3 11 1 6 11-1 13-6 13-5 11-2 12-6 12-4 12-5 12-2 12-3 12-0 12-1 13-3 9-5 9-4 13-2 20-1 9-6 18 5 4 9 5 8 5 12 19 20 14 1 2 1 6 1 4 16-3 16-1 16-5 10-0 10-1 10-2 10-3 10-4 10-5 10-6 11-0 1 1 1 3 4 4 4 1 2 2 3",0,None,6,Mon Apr 01 2013 19:29:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4157,/competitions/yelp-recruiting,None
/dirknbr,time structure,Is there are time structure in the data? Is all data cross-sectional or time series? It would be great to have time t for time series data. How were categories encoded?,0,None,6,Mon Apr 01 2013 21:31:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4158,/competitions/cause-effect-pairs,86th
/dirknbr,negative ,Can we have negative causation: 'not A -> B' so a lower A leads to B? or has it been normalised?,0,None,1,Mon Apr 01 2013 21:36:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4159,/competitions/cause-effect-pairs,86th
/newtohere,It should be better that Yelp provides benchmark solution with codes,Will Yelp provide benchmark solution with codes? I think it should be helpful for those (including me) who are willing to learn new things. Thanks!,0,None,1,Tue Apr 02 2013 03:14:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4163,/competitions/yelp-recruiting,None
/pjreddie,CV RMSE vs. Leaderboard Score,"Hey all, I was just wondering what kind of discrepancies everyone is getting on their cross-validation RMSE versus what their models get on the leaderboard. Currently I usually get around .450 RMSE when I run it on bootstrapped samples of the training data and I get about .460 on the leaderboard. Clearly there are some differences between the training and testing data that I'm overfitting, anyone have any thoughts on where these are coming in? Are other people seeing these same discrepancies between their validation scores and their leaderboard scores? - Joe",0,None,2,Tue Apr 02 2013 07:05:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4164,/competitions/hhp,44th
/gkronber,Expected score of the winning solution?,"Dear Isabelle, first of all, thank you for preparing and hosting this competition! As you are already familiar with relevant research on identifiying causal dependencies purely from data it would be interesting if you could share some of your expectations for this competition. What do you think will be the score of the winning solution? It seems a reasonable base line solution would have a score around 0.75? The largest fraction of the training set are pairs of two numeric variables, around half of them are independent pairs, and from the remaining dependent pairs, half are A->B and half B->A.",0,None,1,Tue Apr 02 2013 08:20:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4165,/competitions/cause-effect-pairs,None
/herimanitra,Running regression Tree model with more than 32 factors,"Hello, I'm trying to perform regression Tree model with more than 32 categories in R and get the following error ""factor predictors must have at most 32 levels"" What should I do in this case knowing that I want to take into account all my predictor variable's categories? The same problem occurs with randomForest() command",0,None,6,Tue Apr 02 2013 08:45:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4166,/competitions/yelp-recruiting,62nd
/jscheibel,a trap I think I've fallen in to,"Kinda had a ""'doh"" moment and with a week left I figured I'd share incase others are doing something similiar. So, generally speaking these contests normally use a portion of the test data to indicate the leaderboard results. This one doesnt, and I didn't notice it till just right now. Again generally, I train on some portion of the training data and use some other portion as my own ""test data"". This I do so I can see (win no bias or chance of information contamination) if optimizations, new features and calibrations work better and what not. No big deal people do this sort of thing all the time. but, I think I've made a terrible mistake by taking 50% of the data and using it as example set of ""test data"". I may be building a nice general model but the test data seems to be nothing like this. doing this i'm getting a result around .213 locally, but my most recent submission actually is moving away from the best score I have on the leader board.(vs when I got my best listed score I had around .216 internally. Since there is no hidden data (which I didnt realize) there is no advantage to building a model that represents the whole data. you should build to test data as it's given to you (find records that are similiar to those listed and use those as your ""test data"" to see how well you did. This is good though cause the test data is really small compared to ""half the training data"". so by taking a more indictive sample and one that is the same size as the test case I should have a better result for calibration (since previously i was really only calibaring on half the data) and for estimates.",2,bronze,6,Tue Apr 02 2013 18:01:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4168,/competitions/bluebook-for-bulldozers,46th
/sb192837,Possible to download data?,"Hello, Is it still possible to download the data for this competition? We would like to use it for an academic project. If not, is there any other way to access it? Thank you",0,None,1,Tue Apr 02 2013 18:35:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4169,/competitions/hhp,None
/overcomebyfumes,Semi supervised learning,"I don't want to run afoul of the rules, and wanted to know if using semi supervised learning – such as the upclass package: http://cran.r-project.org/web/packages/upclass/upclass.pdf would be ok or not. My sense is probably not, because it involves utilizing the test data in producing the model, but I wanted to know what others thought. Thanks",0,None,14,Tue Apr 02 2013 21:39:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4173,/competitions/predict-human-activity-using-smartphones,6th
/leustagos,Question about Test.csv,"About the final test set: Test.csv is the test set, which won't be released until the last week of the competition. It contains data from May 1, 2012 - November 2012. Your score on the test set determines your final rank for the competition. How many mony will it comprise, 7 months (5-11) or 6 months (5-10?). The november month is included or not?",0,None,7,Tue Apr 02 2013 22:02:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4175,/competitions/bluebook-for-bulldozers,1st
/zygmunt,score for this competition,"A while ago I took part in Detecting Insults in Social Commentary competition. It was structured similiarly to this one. The problem is, out of original ~200 participants only 50 bothered to submit a test prediction. In effect, the rank in my profile for that contest is 40/50, instead of 40/200. That makes a difference for me and I seriously hope that in this case the rank will take into account the number of phase 1 participants.",1,bronze,7,Tue Apr 02 2013 22:14:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4176,/competitions/job-salary-prediction,35th
/eseohekaggle,Dealing with non-numeric data,"Hi everyone, i am new to kaggle so i am not entirely sure if this question makes sense. I was looking through the HIV dataset on a finished competition and on the PR Seq and RT Seq columns were textual data like ""CCCAATT............."". How would i deal with data like this. Thanks 4 ur anticipated response.",0,None,4,Wed Apr 03 2013 01:24:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4178,/competitions/titanic,None
/broham,Getting started with Random Forest using Python?,"I'm trying to create a submission using Random Forest/Python. I found a number of examples online that seem to be geared towards this competition (t [Link]:http://datascience101.wordpress.com/tag/random-forest/), but they all seem to generate an invalid submission file. The submission file appears to have 28000 probabilities rather than an actual number submission. I am totally new to machine learning and python so I'm a bit stuck. [Link]:http://pastie.org/7291572 is what I have managed to come up with. A few questions: What exactly is in predicted_probs? How can I go from what I have in predicted probs to an actual prediction? Currently my csv has a bunch of floats in it for each item. Thanks and sorry if these are stupid questions!",0,None,3,Wed Apr 03 2013 02:21:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4179,/competitions/digit-recognizer,None
/ricardocsag,Download prepared data and classificator's code from winers?,"Hi, Is posible when the competition is ended we can download prepared data and classificator's code from winers? Thanks, Best regards, ricardo",0,None,2,Wed Apr 03 2013 13:46:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4182,/competitions/hhp,719th
/julesvanligtenberg,Congratulations!,Congratulations to the winners of Flight Quest Phase 1! Nice Job! Team Gxav & * getting 4.2 for gate and 3.2 for runway arrival! Good work! Jules,0,None,23,Wed Apr 03 2013 14:53:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4183,/competitions/flight,19th
/herimanitra,Score under 0.45 with train dataset,"I know, this is not a very informative post but I'm curious to know if someone has scored less than 0.45 (RMLSE) with his TRAIN DATASET? Also, is the RMLSE calculted from within the train dataset a good predictor of the test dataset?",0,None,3,Wed Apr 03 2013 15:50:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4184,/competitions/yelp-recruiting,62nd
/gaborfodor,sanity check in two steps competitions,"Hi, I waited for the results but now I am just disappointed. I hope in the future we will have a bit more detailed response in two step competitions when uploading our final submission. We obviously made serious mistakes when we missed the fact that we have insane (~55 374 602) prediction for 10 records. If we just replace these 10 values with the mean prediction (1254-1261) we get close to the Estimated Arrival Time Benchmark. We worked a ""bit"" more to end atthe last place :)",0,None,11,Wed Apr 03 2013 17:32:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4185,/competitions/flight,40th
/dansbecker,Winner announcement date,"Have Kaggle and/or Heritage determined when they will announce the final prize winners? If so, when should we expect to hear? If the date has not been set, can you give us a rough estimate? Thanks for the putting together this great learning experience.",0,None,1,Wed Apr 03 2013 19:46:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4187,/competitions/hhp,2nd
/ydhiman,R Code to read Matlab.csv files,Hello Can Anyone share R code to read CEdata_train_pairs.csv file which is given for Matlab such that A & B are considered as List with their elements as list and SampleID as factor Thanks,0,None,2,Thu Apr 04 2013 09:40:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4198,/competitions/cause-effect-pairs,None
/ethanclark,Updates?,"Hi, just checking on the timing for when you will have all the submissions evalulated, and if we'll be notified for next steps. I am asking so I'll know if I can delete all the data files off my hard drive. Thanks",0,None,2,Thu Apr 04 2013 15:46:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4199,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/budiansky,Contest results in user ranking?,"Now that the embargo is over, I see that the final results are listed in user profiles, but it does not appear that the points or overall user ranking has changed to reflect this. Is this a glitch, or is there normally a delay between announcing winners and updating user rankings?",0,None,6,Thu Apr 04 2013 18:26:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4200,/competitions/flight,16th
/ajschumacher,perfect scores,"So, there are now four people with leaderboard scores of 1.00000. Is there a method that is actually that good, or have people just looked through all the test sets by hand and used ""human processing"" to make correct identifications?",0,None,6,Fri Apr 05 2013 02:01:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4205,/competitions/digit-recognizer,None
/trollycn,data in the training set can't find matched user_id?,"$user_id[1] ""ZREYKjErXkcoeqUw6gRQtw""$review_id[1] ""zHWnS1D62pvrVMBViq1ZLg"" $stars[1] 3$date[1] ""2011-12-14"" For this review, user_id is ZREYKjErXkcoeqUw6gRQtw and I can't find it in the training user file. Similarly, here are another two user_ids i can't find a match: ""qT17WVkJi0RvQ4nNPN6NDw"" ""UfMHoQ4lic1aCkXFa4TxlA"" I'm doing everything in R. Is it just me having problems like this...? Thanks!!",0,None,2,Fri Apr 05 2013 02:07:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4206,/competitions/yelp-recruiting,192nd
/williamsurles,"Should submission only have -1, 0, 1 for target","In CEdata_train_ target there are only values of -1, 0, and 1. But in the two baseline submissions there are values from a continuous scale between -1 and 1. Should our data submissions only have the discrete values -1, 0, 1 or should they be continous between -1 and 1? Does it matter for scoring?",0,None,1,Fri Apr 05 2013 02:17:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4207,/competitions/cause-effect-pairs,77th
/danielhutty,Validation set answers,Have these been posted yet? Can't find them on the Data page so I'm guessing not. Could the Kaggle team please confirm when this is likely to happen? The competition timeline suggests it should have happened yesterday...,0,None,6,Fri Apr 05 2013 07:26:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4209,/competitions/bluebook-for-bulldozers,88th
/jputrevu,Stochastic Gradient Boosting,"This is probably late, but is anyone using Stochastic Gradient Boosting? It is expected to give better results than Gradient Boosting, but for me, it gave worse results. Tried with several subsample percentages, none of them were better than the gbm model.",0,None,2,Fri Apr 05 2013 07:35:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4210,/competitions/bluebook-for-bulldozers,57th
/hidean,three data sets and k-fold validation,"Hi Kagglers, I have a question on training/CV/test sets and implementing k-fold validation. I understand how k-fold validation works between two separate sets of data. Let's say training and CV sets. Basically 1 of the k sets are used to calcuated error rates and averaged. What about when I have 3 different sets ? Let's say I divided the dataset into training (60%) & CV(20%) & test (20%) sets. and I want to do 5-fold CV method. my assumption was that 1 of the 5 dataset is used as CV and another 1 of the 5 is used as test set and other 3 of 5 is used as training set. But there are 10 ways of partitioning these datasets. So, Doesn't the concept of k-fold validation apply to 3 sets of separate data? Thank you, Dean",0,None,4,Sat Apr 06 2013 15:12:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4217,None,None
/waynezhang,On data sampling method for public leaderboard,"Hi Ali, This is a very challenging problem and thus quite interesing. Can you tell us how you sampled data for public leaderboard evaluation? I think sampling on images provides better consistency between public and private scores than sampling on persons (given only 80 persons in the test set). This affects the level I trust public scores. Thanks.",1,bronze,1,Sun Apr 07 2013 05:58:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4223,/competitions/icdar2013-stroke-recovery-from-offline-data,20th
/kirk86,Some help with weka please !!!,"I trying to insert the train and test data to weka on the classification tab but everytime I try to insert the test dataset I always get the error message indicating that the train and test datasets do not match. Can someone help me out and suggest a solution? My train dataset looks like this : survived pclass name sex age sibsp parch ticket fare cabin embarked 0 3 Braund Mr Owen Harris male 22 1 0 A5 21171 7.25 S 1 1 Cumings Mrs John Bradley (Florence Briggs Thayer) female 38 1 0 PC 17599 71.2833 C85 C 0 3 Allen Mr William Henry male 35 0 0 373450 8.05 S 0 3 Moran Mr James male 0 0 330877 8.4583 Q 0 1 McCarthy Mr Timothy J male 54 0 0 17463 51.8625 E46 S And my test dataset looks like this: survived pclass name sex age sibsp parch ticket fare cabin embarked ? 3 Braund Mr Owen Harris male 22 1 0 A5 21171 7.25 S ? 1 Cumings Mrs John Bradley (Florence Briggs Thayer) female 38 1 0 PC 17599 71.2833 C85 C ? 3 Allen Mr William Henry male 35 0 0 373450 8.05 S ? 3 Moran Mr James male 0 0 330877 8.4583 Q ? 1 McCarthy Mr Timothy J male 54 0 0 17463 51.8625 E46 S Notice: For the sake of demonstration of the problem I have used the same data (i.e. train & test dataset). But the only thing that I have changed in my tes dataset is that I added one additional column at the begining of the dataset populated with questionmarks as that's what I expect weka to fill with the predictions. For the name of me I can not figure out why the hell is complaining about, because to me they look preety the same. They have the exact same number of columns and furthermore the predicted output column is populated with '?' questionmarks as indicated in some previous threads. Thanks !",0,None,4,Sun Apr 07 2013 16:11:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4226,/competitions/titanic,None
/daveb1,Uploading Issues,"I am just trying to get started with Kaggle and am having trouble uploading submissions. When I upload a CSV file (the only file type I have tried) and hit submit, I get the message ""Waiting for kaggle.com"" and after about 5 minutes, the page times out, saying, ""The connection to www.kaggle.com"" was interrupted. I have tried submitting for the Bilogical Response and Learning from Disaster (Titanic) competitions, and have tried in both Chrome and Firefox. I am able to upload the file and other files to other websites. Any tips, advice, or suggestions would be greatly appreciated. Thanks!",0,None,1,Sun Apr 07 2013 19:06:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4227,None,None
/tritonsd,Y values are inverted,"I was visualizing how the signatures are draw using the hacky implementation below $ cat unnormalized_data.csv | awk -F, '{ print $2,$6,$7 }' | grep ^217 | awk '{ print $2,$3 }' > xy $ python draw.py xy Issue is that the image file 217 is reflection of the plot below on the y-axis grr... import matplotlib.pyplot as plt import numpy as npimport sysfig, ax = plt.subplots()f = open(sys.argv[1])x = []y = []for l in f: ls = l.split() x.append(int(ls[0])) y.append(int(ls[1]))for t in range(len(x)): if t == 0: points, = ax.plot(x, y, marker='*', linestyle='None') ax.set_xlim(np.min(x)-100, np.max(x)+100) ax.set_ylim(np.min(y)-100, np.max(y)+100) plt.savefig('draw.png') else: new_x = x[:t] new_y = y[:t] points.set_data(new_x, new_y) plt.pause(0.1)",0,None,2,Mon Apr 08 2013 02:59:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4228,/competitions/icdar2013-stroke-recovery-from-offline-data,22nd
/sgerber,Text data,Is the predictor in the training data missing in the CEData_split files? -Sam,0,None,6,Mon Apr 08 2013 20:21:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4236,/competitions/cause-effect-pairs,None
/cunexpected,help making sense of result,"Hi fellow competitors, I am still scratching my head over my last submission, and I was wondering if someone else could give me more insight. Let me explain. After failing at getting to a good score (being my best 0.47), for the very last weeks of the competition I focused on a new approach that would hopefully get better results. The idea was to ""improve"" my best submission (0.47). How? Using three different models, each of which I tweaked for predicting not only an output value but a true estimate of how much accurate that value was. I trained these models over 85% of the training data, and evaluated them over the 15% that they never saw (both sets picked randomly). The error of the models per-se was not very good (0.48, 0.485, 0.487), but picking ONLY the predictions that each model though they estimated best, I was able to obtain an incredible 0.419 over a 73% of the test data (with a set threshold for picking or not those predictions). So I applied this to the entire prediction. It took hours to compute and I barely made the last submission by minutes (some of the models are very computationally intensive). Even though I used 24 cores. So finally, my ""last"" submission was a compound of: - my best submission so far, based on RGF (at 0.47) - an improvement over the 73% of those predictions that (supposedly) had an error of 0.419 (for those 73% points) Well..... I did not improve my score, and the whole submission was still at 0.47. I am still scratching my head as to how this could be. Of course I though : maybe thsose 73% points were already very well predicted by the RGF model, and that improvement really meant nothing. But it seems weird to me that all those models ""predicted well"" the very same points and failed also in the very same rest of points. Any insight would be very much appreciated. Carlos",0,None,3,Tue Apr 09 2013 01:58:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4240,/competitions/hhp,654th
/gokulg,Advise required,I am trying to learn analytics in SAS jmp.I would like to try on this competition data. How can i clean this data especially the job title which is a mix of texts? how can i do the further validations? ANy advise will be much appreciated.,0,None,1,Tue Apr 09 2013 07:52:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4244,/competitions/job-salary-prediction,None
/larry77,Cleaning of the Next Test Dataset,"Dear All, Given and not granted that I will be able to upload my model and stay in the competition, I will have to train my model on a new Train dataset (already provided) and predict on a new Valid set (to be provided). At the moment, I have a code that integrates the information provided by the Valid and Train datasets with the one of the Machine_Appendix dataset. Will I need to do the same with the new Valid set? Hope the admin can clarify this point. Cheers",0,None,2,Tue Apr 09 2013 11:01:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4246,/competitions/bluebook-for-bulldozers,363rd
/kingsfield,Some Questions about comeptition,"Hi all, I just enter into this competition. It seems that there is no rules descriptions in this competition, where is it? Another question is that what output should we predict? the sum of votes of each review or the log(1 + votes)? And what's the evaluation rules? Thanks.",0,None,3,Tue Apr 09 2013 13:35:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4247,/competitions/yelp-recruiting,59th
/lapolonio,gendermodel vs genderclassmodel,"What is the difference? Comparing the files there seem to be ""random"" differences. I am referring to lines containing names such as: Dean, Mrs. Bertram (Eva Georgetta Light) Johnston, Mrs. Andrew G (Elizabeth Lily"""" Watson)"""" McCoy, Miss. Alicia ... Interesting that the differing lines are females, and in genderclassmodel survived = 0 while in gendermodel survived=1 for the same female. Any insights would be appreciated Thanks",0,None,2,Wed Apr 10 2013 07:17:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4253,/competitions/titanic,None
/andreauc,Congratulations!,Congratulations to the winners - team SluiceBox (Scott and Nick) and alfnie! Thank you everyone for participating and sharing your results in the discussion. This was an exciting competition and it is great to see a broad range of solutions being shared. We are looking into ways how the output can be used in advancing Cornell and Marinexplore efforts. Will share more details in the next few weeks. André,4,bronze,5,Wed Apr 10 2013 08:58:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4254,/competitions/whale-detection-challenge,None
/shekharkot3kar,Newbie question - How to solve this problem?,"Hi, I am new into the field of data science and statistics and still learning ABCs of these things. I am a Software Developer by profession and my new responsibilites include to work on part time data scientist sort of things. Thats why I am here at Kaggle to learn and practice more about Data Science and stats. So I have a very basic question - how to solve this ""Digit Recognizer"" problem? Is there any specific algorithm already present which you guys are tweaking or you are developing your own algorithm? How should I proceeed? Do I need to learn more about stats, machine learning and then come back here? Please enlighten ! Thanks, Chandrashekhar",0,None,1,Wed Apr 10 2013 12:10:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4255,/competitions/digit-recognizer,None
/michaelhalfpenny,Predicting sporting outcomes,"Hi, has anyone out there used data to predict the winner of a sporting contest ?",0,None,1,Wed Apr 10 2013 12:17:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4256,None,None
/kenmartinian,Can I make a submission after competition is over?,Can I make a submission after competition is over and have it scored? This would be for education purposes only. Thanks.,0,None,2,Wed Apr 10 2013 16:47:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4257,/competitions/bluebook-for-bulldozers,None
/shanetrahan,Titanic: Machine Learning from Disaster,"I just joined this site today... I am reviewing these competitions and noticed that the description for Titanic states "" The data is highly structured and we provide 3 tutorials of increasing complexity."" What tutorials? I don't see any that are obvious. Thanks! Shane",1,None,4,Wed Apr 10 2013 20:51:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4259,None,None
/nitaidean,Checkin Data,So the Checkin data in the training corpus is supposedly all from a single day - 1/19/13 - but the checkin info field here describes the number of checkins at various hours and various week days. Over what time period is this checkin data collected? Is it all the checkins at the hour/weekday combos that business has had up until 1/19/13?,0,None,1,Wed Apr 10 2013 22:31:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4260,/competitions/yelp-recruiting,5th
/alecradford,Image Compression Issues,Several image processing methods (histogram equalization and segmenation) have been unuseable due to the algorithms picking up on the JPEG artifacts. Here's a link to some examples: [Link]:http://imgur.com/a/l8zCm Has anyone else had this issue? Does anyone know of ways to get around it?,0,None,3,Wed Apr 10 2013 22:40:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4261,/competitions/icdar2013-stroke-recovery-from-offline-data,3rd
/shikhardua,RMSLE calculation,"Hello, I am using following formula to calculate RMSLE RMSLE sqrt(sum((log(P+1)-log(A+1))^2)/length(A)) but I am getting a different answer for same dataset that I submitted on the kaggle website. Could you please confirm if I am using the correct formula Thanks",0,None,5,Thu Apr 11 2013 01:42:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4263,/competitions/bluebook-for-bulldozers,337th
/jasonsumpter,test.csv,"Available, but I'm only getting a SalesID column.",0,None,1,Thu Apr 11 2013 02:22:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4264,/competitions/bluebook-for-bulldozers,43rd
/balazsgodeny,Phase 3?,Is there any information available on when the next phase will be launched? Thanks.,0,None,2,Thu Apr 11 2013 08:06:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4266,/competitions/asap-sas,None
/micheledallatorre,"Businesses, users and checkin data","Hello, I'd like to have a clarification re the competition. The goal of this competition is to estimate the number of Useful votes a review will receive. [...] The testing data contains reviews, businesses, users, and checkins from the period between 2013-01-19 and 2013-03-12. So, as far as I understood, analyzing the reviews datafile (hence NOT considering businesses, users, and checking data) should be enough. Am I wrong? Thanks in advance.",0,None,1,Thu Apr 11 2013 11:40:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4268,/competitions/yelp-recruiting,None
/madhavkumar2005,Final submission for consideration on private test data,"Given that the number of observations in the training and test data sets is so small, there is a high chance of over-fitting the public leaderboard. In this regard, selecting only one entry for final submission seems to be a risky game. Any reason why we have the option of choosing only one entry as opposed to the standard 5 that is there in most Kaggle competitions?",1,bronze,2,Thu Apr 11 2013 14:13:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4269,/competitions/icdar2013-gender-prediction-from-handwriting,160th
/draconar,total noobie: what fields from training set?,What fields from the training set should I use? What algorithms should I be looking for? any other general directions? cheers!,0,None,2,Thu Apr 11 2013 16:56:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4271,/competitions/yelp-recruiting,None
/kylecampbell,get_params for the FeatureMapper,"This one is for the Hammer. I'm trying to setup GridSearchCV for the classifier pipeline that Ben has in his code. It's breaking when it tries to run a get_params method on the features.FeatureMapper class. I'm still pretty new to Python, so I'm not sure how get_params normally works as it's not explicit in the code for other things. How can I get FeatureMapper to pass nothing so that GridSearchCV ignores it?",0,None,4,Thu Apr 11 2013 21:15:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4273,/competitions/cause-effect-pairs,62nd
/nitaidean,Review Dates (Test Set),"In the test set, it is said that ""The testing data contains reviews, businesses, users, and checkins from the period between 2013-01-19 and 2013-03-12."" Does this mean that the useful votes we are trying to predict (and are therefore missing from the review data in this set) are for the date 2013-03-12? Naturally we have to know the exact date at which the ""useful votes"" were recorded, since the longer a review has existed, the more votes it will accumulate. Knowing they were recorded ""sometime"" between 2013-01-19 and 2013-03-12, rather than on 2013-03-12, changes the matter significantly Another source of confusion is that the instructions say the reviews are from 2013-01-19 to 2013-03-12, though the review dates in the testing data span from 2006-02-02 to 2013-02-26... wouldn't we expect only ""fresh"" reviews in this testing dataset, meaning, after 2013-01-19? Thanks!",0,None,2,Thu Apr 11 2013 23:34:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4274,/competitions/yelp-recruiting,5th
/annedwyer,Score on public board?,I made my first submission and I can see my score under my submission but it doesn't how up on the public board. Why is that?,0,None,1,Fri Apr 12 2013 00:31:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4277,None,None
/broham,"Sharing Python Code for KNN, SVC and Random Forest","In case anyone is trying to get started with this competition using Python, you can take a look at [Link]:https://github.com/Broham/DigitRecognizer. Right now I am running all three and then selecting the prediciton that has the highest probability. This has given me an accuracy of 0.96914. Hope this helps someone!",7,bronze,4,Fri Apr 12 2013 06:14:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4281,/competitions/digit-recognizer,None
/irvidileep,Business info present in training but not in testing,"There are some business_ids whose info is present in training dataset but not in the testing dataset. Can we map the business info from training to testing dataset for same business id? For example, we have business id I1rvqU2k5UQGo2lGdY6hyw, h6jfMpTZpNduLG0wE2tbaw rQ4z0EStSZE4acgkne6Hmg in the training & testing business dataset but the rest of the business info is missing from the testing dataset. Thanks",0,None,1,Fri Apr 12 2013 06:18:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4282,/competitions/yelp-recruiting,160th
/soates,Bayesian Computation in R by Jim Albert currently free on Amazon,"Just noticed that ""Bayesian Computation in R"" by Jim Albert is free for the Kindle version of the book. [Link]:http://www.amazon.com/Bayesian-Computation-Use-ebook/dp/B001E5C56W",4,bronze,2,Fri Apr 12 2013 12:47:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4285,None,None
/stephanemarcovitchbruneau,My evaluations are always more optimistic than Kaggle's ... ?,"Hello fellow Kagglers, I'm quite new to R and machine learning, and I'm trying to use random forest to make my submission. My performance evaluation always gives me something between 0.81 and 0.84. But Kaggle evaluates my prediction between 0.75 and 0.77! I guess 4% is not anecdotic, so I wanted to know if I did something wrong in my evaluation: # ################################################# # [rf] Random forest prediction# #################################################rfTrain <- train[,c(""age"",""sex"",""sibsp"",""parch"",""fare"",""survived"")]rfTest <- test[,c(""age"",""sex"",""sibsp"",""parch"",""fare"")]# Replace NAs with avgrfTrain[is.na(rfTrain)] <- mean(na.omit(rfTrain$age));rfTest[is.na(rfTest)] <- mean(na.omit(rfTest$age));# Split into train & test rfSplit <- sample(nrow(rfTrain),floor(nrow(rfTrain)*.80),replace=FALSE)rfTrainSet <- rfTrain[rfSplit,]rfTestSet <- rfTrain[-rfSplit,]# Learn from trainset (80%) and train (full data)rfModelX80 <- randomForest(factor(survived)~.,data=rfTrainSet,nTree=500)rfModelX100 <- randomForest(factor(survived)~.,data=rfTrain,nTree=500)# Predict testset (20%) and test (full data)rfTestSet$prediction <- predict(rfModelX80,newdata=rfTestSet)test$rfPrediction <- predict(rfModelX100,newdata=rfTest)# Evaluate prediction performancerfPerformance <- sum(rfTestSet$survived == rfTestSet$prediction) / nrow(rfTestSet)rfPerformance# Write submission filesubmission <- cbind(survived=test$rfPrediction,test)write.csv2(submission,file=""submission.csv"") Thanks in advance! Stéphane",0,None,2,Fri Apr 12 2013 19:07:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4287,/competitions/titanic,None
/joncook,Adding an image?,How can I add an image to the vizualisation area? If I put in a link to flickr I get an undownloaded image icon. Please could someone tell me what they use or point me towards some guidance I've missed thanks Jon,0,None,1,Fri Apr 12 2013 23:13:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4288,/competitions/titanic,None
/benhamner,Welcome,We're very excited to launch this competition in conjunction with the [Link]:http://deeplearning.net/icml2013-workshop-competition/! It is one of a total of three competitions associated with the workshop. The other two look at [Link]:https://www.kaggle.com/c/challenges-in-representation-learning-multi-modal-learning and [Link]:https://www.kaggle.com/c/challenges-in-representation-learning-the-black-box-learning-challenge. The workshop organizers will be available to answer questions on the data and problem structure in these forums Good luck! Ben,0,None,2,Sat Apr 13 2013 01:16:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4289,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,None
/karanchugh,Unable to submit file > 1 mb in Bestbuy Competition,"[Link]:http://www.kaggle.com/c/acm-sf-chapter-hackathon-big/submissions/attach . I am facing problem in uploading solution to the problem , if file is greater than 1 mb, it is showing error requested entity too large. Any suggestion I tried several compression techniques but i was unable to reduce my file size to less than 1 mb.",0,None,1,Sat Apr 13 2013 09:30:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4296,None,None
/sylwester,Train file contains contradicted duplicates,"Hi, We have found so far duplicates that have all the same values for a and b and choice is 0 and 1. Is this an error or there is an interpretation to this ?",0,None,1,Sat Apr 13 2013 19:34:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4300,/competitions/predict-who-is-more-influential-in-a-social-network,131st
/zubin1,Choice variable,"just to make sure I understand, when Choice = 0 it means that person A was chosen as the more influential?",0,None,2,Sat Apr 13 2013 21:17:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4301,/competitions/predict-who-is-more-influential-in-a-social-network,None
/blindape,Someone have than 40 submissions!,...more than...,0,None,4,Sun Apr 14 2013 02:48:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4303,/competitions/predict-who-is-more-influential-in-a-social-network,5th
/roseyland,Mean Faces,"I seem to have a thing for calculating mean images. Here's an image of the mean face, and the mean face for each emotion. I think, 0 = Anger, 1 = Disgust, 2 = Fear, 3 = Happy, 4 = Sad, 5 = Surprise, and 6 = Neutral. I'm not sure about that though. Anger, disgust, and fear kind of look alike. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/6900/Mean_Faces.jpg",6,bronze,8,Sun Apr 14 2013 06:45:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4305,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,None
/sashikanthdareddy,Which Python IDE do you use/recommend?,I would like to learn Python and was wondering if fellow Kagglers would recommend a good Python IDE.,3,None,32,Sun Apr 14 2013 18:29:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4308,None,None
/anirband,Writing your own code for Random Forest,"I would like to write my own code to implement Random Forest. And have the following question: While building a Random Forest, how does a program select the sample size to build the trees? Also do you know the depth of each tree and the decision to prune it?",0,None,1,Mon Apr 15 2013 07:28:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4315,/competitions/digit-recognizer,None
/domcastro,Invertibility,"I'm not a statistician so having trouble understanding invertibility. I have understood about inverse of matrices but to see if a matrix has an inverse, it has to be a square matrix. Is it something simple like the data types?",0,None,8,Mon Apr 15 2013 10:47:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4317,/competitions/cause-effect-pairs,6th
/ajschumacher,"paper: ""Detecting Causality in Complex Ecosystems""",Gelman just [Link]:http://andrewgelman.com/2013/04/14/detecting-predictability-in-complex-ecosystems/ on this paper. Possibly relevant? [Link]:http://www.uvm.edu/~cdanfort/csc-reading-group/sugihara-causality-science-2012.pdf,2,bronze,4,Mon Apr 15 2013 16:22:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4320,/competitions/cause-effect-pairs,None
/iangoodfellow,Alternate dataset download link,"If you're having trouble downloading the Small ESP Game dataset, try downloading from this link: [Link]:http://www.iro.umontreal.ca/~bengioy/data/ESPGame100k.tar.gz",1,bronze,4,Mon Apr 15 2013 18:44:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4323,/competitions/challenges-in-representation-learning-multi-modal-learning,None
/phbalance,Where are all the competitions?,"Hi I heard many great things about Kaggle from the New York Times, and the Strata conference, so I joined. Now I am here at Kaggle and I don't see many competitions. The ""Blue Book for Bulldozers"" is the only non-reserach competition going on right now. What happened? Where did they all go?",0,None,1,Mon Apr 15 2013 19:34:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4324,None,None
/benhamner,KDD Cup 2013 Progress Updates,"This forum thread will be used to communicate progress updates around the launch of the 2013 KDD Cup. We know all of you are eagerly awaiting the launch of the Cup, and we look forward to bringing it to you as soon as possible! Thanks for your patience on this matter. The KDD Cup organizers are currently working with the competition hosts to resolve some open questions on the competition data and format. We hope to get the competition up in the next couple days, but at this point we can't be certain about the launch date. In the meantime, make sure that you've [Link]:http://www.kaggle.com/account/register. We just launched [Link]:https://www.kaggle.com/c/challenges-in-representation-learning-multi-modal-learning [Link]:https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge [Link]:https://www.kaggle.com/c/challenges-in-representation-learning-the-black-box-learning-challenge on representation learning for an ICML 2013 workshop as well. Check them out if you're itching to get started with a competition! If the 2013 KDD Cup has not launched by 8pm Pacific Time time on Wednesday, April 17, 2013, the next progress update will be provided then.",7,silver,2,Mon Apr 15 2013 20:16:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4325,None,None
/sylvanas2013,What does 'stars'  in business and review mean?,"Does it mean the average score of a business, and the average score a user have given?",0,None,2,Tue Apr 16 2013 05:23:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4326,/competitions/yelp-recruiting,145th
/pjreddie,Need Help Getting the Data,"Hello all, I'd really love to participate in this challenge but we have exceedingly slow internet where I live and the files are too large for me to download over our connection. If someone had an old flash drive lying around and would be willing to load all the files onto it and send it out to me snail mail, I would in exchange purchase them a BRAND NEW flash drive (I can Prime you a flash drive from [Link]:http://www.amazon.com/s/ref=nb_sb_noss?url=search-alias%3Daps&field-keywords=thumb+drive). If anyone is interested or willing please let me know I'd really appreciate it! Thanks, - Joe",0,None,2,Tue Apr 16 2013 08:18:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4327,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,None
/rjm558666,Serious Issue for all competitors,"All competitors need to read this link: [Link]:http://www.gequest.com/c/flight/forums/t/4284/acknowledging-two-more-great-competitors Mr. Goldbloom , Your competitors are your assets. A relationship built on mutual trust and transparency is essential to retain those assets. Everything about the way this was handled is disappointing. I welcome your public response.",0,None,3,Tue Apr 16 2013 15:16:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4329,None,None
/salmarch0,Data sets from closed competitions,How can I get data sets from closed competitions to use for practice?,4,None,5,Wed Apr 17 2013 17:53:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4350,None,None
/sashikanthdareddy,Executable Model Submission: Raising barriers to entry?,"When I joined Kaggle about 2 years ago I realy liked the low barrier to entry. I really liked the offline submission & scoring idea. I'm sure this simple evaluation process has led to many joining Kaggle (as opposed to [Link]:http://www.innocentive.com/ , where almost all the predictive modelling competitions require that the competitor submit an executable model or [Link]:http://www.crowdanalytix.com, who are at the other extreme. They do not have a real-time scoring when a submission is made ). But, lately Kaggle has started introducing competitions (ex: GE airline quest, Blue book etc...) which require competitors to upload executable models with mixed results as evidenced by the [Link]:http://www.gequest.com/c/flight/forums/t/4284/acknowledging-two-more-great-competitors of [Link]:https://www.gequest.com/users/26767/mtb or by [Link]:http://www.kaggle.com/c/job-salary-prediction/forums . I, (and I'm sure there are many others in my position), do not enter any competitions which require online model submission (with the exception of Blue Book due to my oversight) because although I can build reasonably good quality models creating executables etc... is simply out of my reach. Hence, I call this raising barriers to entry. Because, competition has moved from competiting on machine learning to primarily software development (i.e., if you can make your model executable online) with machine learning being secondary. Where I work, and other places I hear of, model development (statisticians/machine learning experts) & model implementation(software engineers) are carried out by seperate teams. Unless, Kaggle is wanting to appeal to a niche segment of Kagglers who are good at both machine learning & software development, Kaggle will find competitor participation drop. Perhaps it would be good idea to survey Kagglers if insisting on online executable model submission is really a (high) barrier to entry or just me who thinks that. Bye for now and good look to KDD-cup 2013 participants.",0,None,6,Thu Apr 18 2013 11:41:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4360,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/soroushmehri,deadlines,"When are the deadlines for arranging team, submission and registeration for competition? thanks.",0,None,1,Thu Apr 18 2013 13:13:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4361,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/sjuvekar,Benchmark code - Postgres troubleshoot,"I spent quite some getting my database backup correct. Here are the problems and my solutions. Make sure that you are using postgres 9.2 as suggested in github README. Most of the default postgres databases, especially for older versions of mac, come with 9.0.x. Please install 9.2 from postgres website. Default install location is /Library/Posgres/9.2/bin. Run your pg_restore with this prefix. Once the version issue is addressed, you will most likely encounter missing database error. pg_restore: [archiver (db)] connection to database ""Kdd2013AuthorPaperIdentification"" failed: FATAL: database ""Kdd2013AuthorPaperIdentification"" does not exist You need to created this database first. Create it using /Library/Posgres/9.2/bin/createdb Kdd2013AuthorPaperIdentification",4,bronze,3,Fri Apr 19 2013 13:54:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4378,/competitions/kdd-cup-2013-author-paper-identification-challenge,41st
/jaygokhale1,Submission Issue,"Hello, I'm new to this and I am having issues submitting my output. I am submitting .csv file that looks like this: "" x, x, x, x, ... "" where 'x' is either 1 or 0 However I am getting the following error: Unexpected error: ' is not a valid value for Double.' (Line 1) Can someone tell me what is going wrong?",0,None,1,Fri Apr 19 2013 23:43:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4381,/competitions/data-science-london-scikit-learn,None
/rdxqq96687,Can intern or employee at Microsoft join this competition?,"Hi, all. May I know if any constraints on the competitors, such as interns or employees from Microsoft cannot join this competition? or if anystraints do exist, is it only for Microsoft Research interns or employees (as the competition data may be provided by Microsoft Academic Research) or all people from Microsoft? Thanks!",0,None,1,Sat Apr 20 2013 13:53:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4388,/competitions/kdd-cup-2013-author-disambiguation,None
/gmelli,This is a stub competition right?,"Ah, not a stub. Thanks. https://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums https://www.kaggle.com/c/kdd-cup-2013-author-paper-identification-challenge/",0,None,1,Sat Apr 20 2013 20:01:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4390,/competitions/kdd-cup-2013-author-disambiguation,None
/nsankar,Issue pre-processing the pixel data,"The Pylearn2 sample code block below to (pre)process csv data throws 'ValueError' as below (arrow) Also, I have issues when using the Pandas library specifically when I am trying to convert the string to float for the pixels Any suggestions here? or has anyone faced similar issues and solved it? kindly let me know. Thanks Code block: X_row_str ,= row X_row_strs = X_row_str.split(' ') X_row = map(lambda x: float(x), X_row_strs) Error Ouput: ValueError Traceback (most recent call last)<ipython-input-6-7f276bbdd189> in <module>() 19 y = int(y_str) 20 y_list.append(y)---> 21 X_row_str ,= row",0,None,3,Sun Apr 21 2013 05:26:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4397,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,None
/helainschoonjans,PCA on training data,"Hello everybody! I'm quite quite new to R and can't manage to make the PCA approach work: #----------------------------------------# FILTER APPROACH#---------------------------------------- # makes the PCA submissiontrain <- read.csv(""train.csv"", header=TRUE)test <- read.csv(""test.csv"", header=TRUE)labels <- train[,1]train <- train[,-1]results <- prcomp(test)write(results, file=""pca_benchmark.csv"") This code always results in the following error: Error in cat(list(...), file, sep, fill, labels, append) : argument 1 (type 'list') cannot be handled by 'cat' I also tried to write results$sdev instead, it doesn't give an error, but the results a far different from those given by the KNN and random forest algorithms...",0,None,1,Sun Apr 21 2013 11:27:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4399,/competitions/digit-recognizer,None
/smcinerney,Geocoding Data Quality Issues,"The city field disagrees with (longitude, latitude) in a few cases. In general (longitude,latitude) are more useful, except when they have gross error, in which case you would have to geomap full_address. city also needs some cleaning. Are we supposed to verify these three correspond, or how else to handle the errors? Anyone find any more? (I found these by scatter-plotting coordinates, and coloring by city, on the training-set) Is city filled in by users? 1) There is 1 entry each for Yuma, Tucson in the training-set; looks like the geocodes are wrong assuming the full_address and city are right? 1a) The following business is either in 'Yuma, AZ' per its full_address, or on '1601 W Yuma St, Phoenix, AZ 85007' corresponding to the coords (112.09344W , 33.434925N) ? name='Wingate By Wyndham', full_address='348 Interstate 10 & 16th Street\nYuma, AZ 85364', city='Yuma', state='AZ', longitude=-112.09344, latitude=33.434925 1b) The following business's geocode would put it at 1501 N Miller Rd, Scottsdale, AZ 85257 ?? name='Center For Creative Photography', full_address='1030 North Olive Road\nTucson, AZ 85271', city='Tucson', state='AZ', longitude=-111.91692, latitude=33.46488 2) Several city names have duplicates/mispellings. I cleaned up the data by fixing them. 'Fountain Hls' for 'Fountain Hills', 'Glendale Az' for 'Glendale', 'Good Year' for 'Goodyear', 'Pheonix' for 'Phoenix', 'Scottsdale ' for 'Scottsdale'. Also 'North Scottsdale' is hardly ever used, even though technically it exists. 'Sun City Anthem' does not exist - two different cities. 3) As per the thread [Link]:http://www.kaggle.com/c/yelp-recruiting/forums/t/4132/why-only-businesses-in-arizona/23282#post23282%20%20, 3 out-of-state businesses in the training set got wrongly geocoded to (out-of-state city, state=AZ). As a result their (longitude,latitude) are totally off - mapped to the city of the same name in AZ. You can detect these easily by state!='AZ'",0,None,2,Sun Apr 21 2013 14:13:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4400,/competitions/yelp-recruiting,194th
/arnaudsj,Preprocessing findings,"Hi, I stepped through a good 500 pictures by hand and noticed that a lot of those that are getting misclassified are due to the different crop/angle/scale. This includes side shots, partial face shots, etc... This defineltly ups the challenge since a lot of scaling/rotation/centering is going to be required, or even detection when the shot is a side shot instead of a frontal shot. Also, I am not sure if anybody noticed but some pictures are thumbnails from shutterstocks.com which were grabbed obviously as a screenshot, and have letters ""shutterstock.com"" watermarked over those ;) If anybody else wants to share what they found during the analysis/preprocessing stage in this thread, that would be great. I am eager to learn what preprocessing tricks / strategies can be used in this challenge. Thanks!",1,bronze,4,Sun Apr 21 2013 17:45:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4401,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,None
/sylvanas2013,question on valid.csv,"what does the author&paper_id in this file mean? Does it mean, the rank of paper_ids of each author is not correct, paticipants should predict the rank and submit a new file for evaluation? If so , I think it is not proper to name it as ""valid.csv"" ...",1,None,2,Mon Apr 22 2013 08:14:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4406,/competitions/kdd-cup-2013-author-paper-identification-challenge,118th
/falfieri,New to this; CSV file for submission question,"Hello, what a great website and initiative. I am new and have followed all the instructions for the ""train"" and ""test"" for the Titanic sample data exercise. However when I get to submission, I have tried to save and upload my file with several different extensions, but they all return an error. How do I save my excel file with the prediction column into a format that can be uploaded for submission? I have tried all the .csv options in the Excel ""save as"" function with no positive results as of yet. I have attached here my file saved in Excel as CSV (comma delimited) Any solutions? Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/7039/220413 gender based model pred.csv",1,None,5,Mon Apr 22 2013 19:34:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4408,/competitions/titanic,None
/jonathan6,Licensing of wining code,"The contest rules state that any winning team must provide an open-source license in order to receive prize money. If a winning team chooses not to license their code, in order to avoid licensing their patents or other IP inherent in the code, would they still be eligible to receive a ranking (although not to receive prize money)? In other words, if my team comes in, say, fourth in the final ranking of the competition, would we still be officially ranked fourth even if we choose not to license our code (and thereby disclaim the prize money)?",0,None,1,Mon Apr 22 2013 21:56:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4409,/competitions/kdd-cup-2013-author-paper-identification-challenge,538th
/johnw1,Paper & PaperAuthor Datasets too big for R?,"Let me start this by saying I'm pretty new to R and Kaggle (actually I joined Kaggle as a reason to work with and learn R more). I know R can't handle big datasets without the use of packages for that particular purpose, but I'm wondering if my machine is actually holding me back due to lack of memory. I know I'm due for a new one since I can't load R 3 (my Mac is 5 years old and doesn't have Snow Leopard OS). Has anybody successfully used R to work with either the Paper or PaperAuthor datasets? Are you using R 3 and/or how much RAM are you rockin'? It would appear many are using Python/PostRegSQL so I may have to go that route and learn another program, but knowing it's possible with R would inspire me further. Thanks a lot for your help and time!",0,None,3,Mon Apr 22 2013 22:32:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4410,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/ronin96253,applications of ML to finance?,"hi, I have come across some applications of machine learning to finance like Portfolio, trading strategies and Consumer Credit risk prediction. What are other applications of ML to finance ? Thanks.",0,None,4,Tue Apr 23 2013 20:19:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4412,None,None
/sircausticmail,Can SAS be used for developing a solution?,"I am not very familiar with R or Python, so do the competitions allow the use of SAS or SPSS?",0,None,1,Tue Apr 23 2013 20:20:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4413,/competitions/kdd-cup-2013-author-disambiguation,None
/sircausticmail,Is SAS a legal tool to use in this competition?,"I am just starting out on the YELP competition, and was wondering if SAS or SPSS can be used for this competition?",0,None,7,Tue Apr 23 2013 20:22:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4414,/competitions/yelp-recruiting,None
/biasvariance,SVM Benchmark Code (R),"I don't think I'm going to have the time or energy to get pylearn2 going, and I don't think I'll be competitive without it. Given that, I decided to try and win the karma game instead of the real contest. Please see the attached analysis notebook to see simple code that trains a simple SVM for this contest. The displayed CV-error is fairly accurate; this lands you just below the worst pylearn2 benchmark. If you skip the grid-search part of the code, this runs in no time. I hope someone learns something or uses this in a nice ensemble. Best of luck! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/7048/SVM_Benchmark.html",8,silver,8,Tue Apr 23 2013 20:26:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4415,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,105th
/wcukierski,Welcome!,"Yelp offers us a classic recommendation system contest, judged on a 5-star scale and evaluated with RMSE. Dust off that old Netflix-prize code and see how it does on business reviews. This competition tracks the ACM Recommender System Conference in October, so you'll have plenty of time to perfect the next great SVD replacement.",0,None,4,Wed Apr 24 2013 02:24:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4421,/competitions/yelp-recsys-2013,None
/whitepaper0,Wrong author matching in paperauthor.csv,"Hi, I found that there are some odd author matching in paperauthor.csv, like the following (pay the attention to the bold part) •paperid | authorid | name | affiliation •---------+----------+---------------------+-------------------- • 1033385 | 201390 | Jia Wang | AT&T Labs Research • 1033385 | 201390 | Peter Steenkiste | • 1033385 | 201390 | Jia Wang | • 1033385 | 1197951 | Li (Erran) Li | • 1033385 | 1197951 | Zhuoqing Morley Mao | • 1033385 | 1799612 | Ningning Hu | Peter Steenkiste and Jia Wang have the same author id 201390, how is that possible? And there is more then one case in the paperauthor.csv.",0,None,1,Wed Apr 24 2013 08:33:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4422,/competitions/kdd-cup-2013-author-paper-identification-challenge,10th
/breakfastpirate,3 questions,"1. Do the submissions need to be all 0's and 1's? Or is it valid to have a 0.6 meaning ""I think it is a 60% probability that the answer is 1 and a 40% probability that the answer is 0""? 2. Is the score based on AUC? 3. The timeline says there is one week between when the final test set is released and ""Deadline to upload submission on the final test set"" (May 17 to May 24). The Evaluation page says 72 hours (""we will not provide the final test inputs until 72 hours before the contest closes""). Is it 1 week or 72 hours? I personally would prefer 1 week because of the amount of data processing involved. Thanks, Steve",0,None,1,Wed Apr 24 2013 16:01:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4424,/competitions/challenges-in-representation-learning-multi-modal-learning,4th
/remi42,"Is ""Categorical"" ordered?","Some data are typed ""Categorical"", can we assume that there is an order between each category (1 - 2 - 3 ...) ?",0,None,1,Wed Apr 24 2013 22:23:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4431,/competitions/cause-effect-pairs,104th
/donquixote,Data Analysis Books ,"Hi all, This will be my first serious foray in the competition. Can you recommend some books on computational statistics with large data sets? Since I will be using R, books that reference R are even better. Thanks.",0,None,1,Thu Apr 25 2013 03:22:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4432,/competitions/yelp-recruiting,None
/chwolfe,Optimal Decision Tree Weights ,"Hello, I have a fairly large dataset (6 million data points) that I'd like to do binary classification on with a decision tree. However, one of the classifications is severely underrepresented (.2 percent of the population). Without weights, the decision tree simply picks the popular classification without building any logic. When I devalue the weight of the popular classification so the two classifications are equal, the decision tree has logic but over predicts the underrepresented classification. I have manually tweaked the weights and have found a weight that seems to perform well. Is there a better / less hackish way to find optimal weights? I’m using R (rpart). Thanks! Chris",0,None,3,Thu Apr 25 2013 22:13:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4438,None,None
/dickoa,Thank you,"It's almost the end of this competition and I was very happy to be part of this wonderful learning experience. I want to thank all the participants, people really played this nicely and everyone respected the rules and shared their tips, I was really impressed. I want also to thank Kaggle and all the administrators for their support from the set up of this competition to the end. It was a great opportunity, thank you. You'll get the result as soon as possible and I'll do my best to make the code available for everyone ( if the winner agree ). Hope to see most of you in other competitions and this time I'll be part of it :)",6,bronze,1,Thu Apr 25 2013 23:19:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4440,/competitions/predict-human-activity-using-smartphones,None
/majidyazdani,Questions about the dates and users,"Hi, I have two main questions: 1) the test set is supposed to be from the period between 2013-01-19 and 2013-03-12, but there are many test reviews dated older than that, for example the first review is dated: 2010-11-15 Do I miss something? 2) There are many users in the reviews which are not in the user file of the train set nor the test set, is that normal? Thanks,",0,None,12,Fri Apr 26 2013 00:41:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4441,/competitions/yelp-recruiting,172nd
/madhavkumar2005,Useful votes in user file,"I am having a little difficulty understanding the 'useful votes' column present in the user file. Does this field correspon to the number of useful votes the user has given to other reviews or the number of useful votes the reviews written by this particular user has received? Also, what do NAs in this column signify? Does it mean that no useful votes were given (or recieved, depending on the case above) or that there is no information available? Typically, wouldn't yelp have information in their system about either of the cases mentioned above? For example, wouldn't it by default show against every user the profile the number of useful votes given (or recieved)?",0,None,1,Fri Apr 26 2013 03:59:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4442,/competitions/yelp-recruiting,3rd
/sahildahiya,Anybody looking for a team member.,"Hello everyone, I am looking to join someone's team, I have some background in data ming with R and sas. please let me know if someone wants to work together or have place for me in their team for this competition",0,None,3,Fri Apr 26 2013 10:00:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4443,/competitions/cause-effect-pairs,None
/sylvanas2013,Author.csv,"Author.csv only contain 250K author id. But in paperAuthor.csv, there are more than 2M author id. Why? Author.csv only contain a small part of all the author information ?",0,None,2,Fri Apr 26 2013 11:02:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4445,/competitions/kdd-cup-2013-author-paper-identification-challenge,118th
/ywu82278,How to use other preprocessor in PyLearn2?,"I have trained other model, aka, RBM, and output is rbm.pkl. I change the code in the dataset.py to: preprocessor.input_to_h_from_v(X) and I have seen the code in rbm.py that it is return[self.input_to_h_from_v(vis) for vis in v] But I got the error: return [self.input_to_h_from_v(vis) for vis in v] TypeError: 'numpy.float32' object is not iterable Can any one who is familiar with PyLearn2 tell me where I was wrong? I am quite confused and there is so limited documents. Bow",0,None,3,Fri Apr 26 2013 14:51:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4447,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,9th
/juliansmith,I'm a bit puzzled by the scoring...,I'd be most grateful if it could be confirmed that the scoring is calculated on the basis of number of correct predictions (max 418) divided by 418. Thanks.,0,None,1,Fri Apr 26 2013 20:41:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4450,/competitions/titanic,None
/domcastro,Cause and Effect website down,Hi Just letting you know that the Cause-Effect competition pages are down,0,None,1,Sat Apr 27 2013 01:39:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4451,None,None
/mirkot,Train sample 442,"Sample 442 in train file contains all zeros for B values except in one location (2968), yet target value confidently indicates that A->B (train442,1,1). How is that possible? If we assume that was result of ""salting"" the training set with dummy values, shouldn't that be indicated in target set? There are more examples. Train992 contains all zeros in A and target indicates B->A. Train711 contains almost only zeros in A and target also tells us that B->A.",0,None,1,Sun Apr 28 2013 07:41:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4455,/competitions/cause-effect-pairs,136th
/wanghui0,Data Model,I think one group data in train data set may be related to one group data in test data set. But how can I know two groups data( one group data is in train data set and another group data is in test data set ) come from the same event or model ? Thanks .,0,None,1,Sun Apr 28 2013 08:32:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4456,/competitions/cause-effect-pairs,None
/nuclearbomb,error loading json file in python,"I am trying to load the user json file in python as follows but getting an error. import json f = open('yelp_training_set_user.json') data = json.load(f) Error i get is Traceback (most recent call last): File ""<interactive input>"", line 1, in <module> File ""C:\Python27\lib\json\__init__.py"", line 278, in load **kw) File ""C:\Python27\lib\json\__init__.py"", line 326, in loads return _default_decoder.decode(s) File ""C:\Python27\lib\json\decoder.py"", line 369, in decode raise ValueError(errmsg(""Extra data"", s, end, len(s)))ValueError: Extra data: line 2 column 1 - line 43874 column 1 (char 157 - 7374045) Please help. Thanks.",0,None,2,Sun Apr 28 2013 17:46:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4458,/competitions/yelp-recsys-2013,None
/zachmayer,neighborhoods,"Is it just me, or is the ""neighborhoods"" part of the business description alway blank?",0,None,1,Sun Apr 28 2013 20:13:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4460,/competitions/yelp-recruiting,37th
/pramodbadri,SVM help ..,I am using SVM to build my model ( R package e1071). It took me around 12 hours just to tune my parameters and my model code is still running after 6 hrs.. Anybody found a work around with this ??,0,None,4,Sun Apr 28 2013 22:08:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4461,/competitions/digit-recognizer,None
/birch95768,Java/Weka Example Classification Project,"Kaggle provides a good Python 'getting started' example for this problem. However, Java is my language of choice. Luckily, there is a really good Data Mining library available called [Link]:http://www.cs.waikato.ac.nz/ml/weka/index.html. I have committed an example project to Github using Weka 3.6.9. I have add generous comments and instructions for running the three different parts: Training, Predicting, and Verifying. Please feel free to take a look, and any feedback is greatly appreciated. This project can be found here: [Link]:https://github.com/birchsport/titanic I have committed everything you need to get started including the Eclipse project files, and an Ant build script to compile and execute the proper classes. Let me know if you have any questions, problems, or enhancement suggestions. Birch",5,None,2,Mon Apr 29 2013 17:58:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4467,/competitions/titanic,None
/eustache,what does this data mean ?,"Of course we'll know what this problem really represents once the competition is over, but it's quite fun to imagine what it could mean before :) Here is my (wild) guess : Suppose the classes are cutoffs of a learning algorithm (like their label could imply). Imagine the 1875 features are the weights/outputs of a neural network (as the theme of the ICML workshop : ""relational learning"" might imply). So the problem would be to learn to classify the outcome of a (potentially complex) neural structure given its activation weights ! If one competitor succeeds with a comfortable accuracy, this would mean that the structure itself can be replaced by a (potentially totally different) learner... Of course my guess might be totally delirious, but hell I thought the idea to be quite funny :) And you what do you think this data could mean ?",0,None,11,Mon Apr 29 2013 18:55:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4468,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,151st
/gertjac,why is date missing in the test set?,I have two questions for the admin: 1. Why is date missing in the test set? 2. Could you tell something about the period of the test set (like: were reviews in the test set given after reviews in the train set)?,1,bronze,3,Mon Apr 29 2013 23:01:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4469,/competitions/yelp-recsys-2013,20th
/andreauc,Summary of the Competition,"Posting a summary on behalf of Cornell researchers. From my side I would like to add, that Marinexplore has partnered with Cornell University to develop acoustics related capabilities of our spatio-temporal data platform. Improved analytics of acoustic data is relevant not only to shipping industry, but also to other businesses like offshore industry. Globally there are many public acoustic datasets yet to be integrated with [Link]:http://marinexplore.org/ as well. Thank you everyone for participating in our challenge and pushing the boundaries together. Feel free to contact me directly should you want to use our solutions in your organization, explore collaboration options, join our team or just learn more about Marinexplore. Meanwhile we posted a summary of the competition in [Link]:http://marinexplore.org/blog/the-kaggle-challenge-improves-cornells-whale-detection-model-to-98/ and launched an exploratory data challenge for finding the best use of public ocean data with a [Link]:http://marinexplore.org/blog/launching-the-earth-day-data-challenge-adding-7-new-data-sources/. André Karpištšenko Co-founder at Marinexplore, Chief Scientist andre@marinexplore.com skype:andre The Bioacoustic research program (BRP) at Cornell University has had the honor to co-host with Marinexplore the first ever North Atlantic right whale call-classification competition. Thank you all for contributing your time and never-ending brainstorms, and for making the competition exciting, interesting, intellectually rewarding and totally successful. We received the documents and source codes from the top two winning Kaggle participants. Many participants also kindly share their insightful thoughts and even source codes on the competition’s message board. We are currently building a new automated right whale detection-classification system, which will include the algorithms from the Kaggle competition and will apply it to a 44-month, continuous recording dataset. We expect that this system will yield a greater understanding of right whale calling behavior, such as their daily & seasonal communication patterns, as well a deeper understanding of the influences of human noise on the whales’ acoustic communication and habitat. You, the participants in this competition, have been and still are the most important partners in our efforts to save right whales. Methods Both winners used an approach that defines a frequency-time “tight box” bounding the occurrence of the right whale call in a spectrogram, followed by extraction of a customized set of features for each tight box. The 1st place winning team used a multiple template matching approach, while the 2nd place winning team used a Viterbi algorithm to find the exact trajectories of frequency up-sweeps. The tight boxes make the features more consistent and robust and thus more frequency-invariant and/or time-invariant. Both winning methods also designed several feature vectors from different perspectives to incorporate information from either the spectrum, the temporal dynamics of a call’s frequency-modulation, and even the temporal ordering of labeling (positive or negative). The last variable, temporal ordering, emerged from the ordering and numbering of the files and labels identifying the calls in the dataset. As a result, many positive classification events appear consecutively. This temporal clustering feature in this dataset might not be something reliable that we could use in our updated automated detection system. However, this feature could be useful to discriminate between right whale up-calls, which almost always occur as individual transients, and humpback whale frequency-modulated upsweeps, which are either notes within a song or produced as a series of calls. Many participants applied a deep learning approach (in particular, a convolutional network) and achieved high scores (e.g. contestants ranked #3, #4, and #6). In our understanding of their deep learning approach, the spectrogram of a right whale call is treated as an image in much the same way as a handwritten digit. Many contestants used Python as the preferred programming language, reflecting the fact that modules of Python, such as Sci-Kit-learn, Sci-py, Num-py, have become standards in the world of data analysis. Accordingly, several classifiers, for example gradient boosting and random forest, were preferred over others by the participants. Data integrity Several participants expressed concerns about data integrity. To some participants some of the audio clips tagged as right whale up-calls did not sound like an up-call, and vice versa. The following are two additional results we need to keep in mind for the particular dataset used in this competition: (i) Some audio clips had very low signal-to-noise ratio (SNR). (ii) An audio clip tagged as a right whale up-call might actually be a non-biological sound or a sound from a different species. When both (i) and (ii) occur simultaneously, things can get tricky. The energy from a right whale call might be much lower than the energy from the other sound object in the sound sample. On the other hand, some audio clips tagged as “no-call” sounded like and could appear similar to an up-call in a spectrogram. One possible explanation for this conundrum is that humpback whales, which are renown for their vocal virtuosity, are responsible for these confounding calls. However when humpbacks produce up-call like sounds, they typically produce them in a repetitive sequence. Thus, if a longer acoustic sample had been provided, instead of just the 2-sec clip, discrimination between a single call occurrence (i.e. a right whale up-call) and a sequence (i.e., a humpback song note or call sequence) might have been more obvious, thereby improving correct classification of the sound. Future We are going to apply the top two winning methods, along with other methods developed in the Bioacoustic Research Program, to improve our abilities to automatically detect and classify right whale calls. The suite of new methods will also include deep learning and computer-vision-based techniques. All of these methods will be a core part of our new, automated acoustic detection-classification system for large-scale analysis for endangered species, including whales, elephants and birds. One of the first technical challenges is to have the automatic detection-classification process operate on a continuous, long-duration audio stream (e.g. months to years). We’re investigating methods from computer vision and image processing that will locate connected regions, as well as an efficient method for applying a sliding window, by which classification is repeatedly applied along a continuous audio stream. Presently a comprehensive performance evaluation is ongoing using an 8-day dataset. One goal in the next few months is to apply methods from this competition on a 44-month, continuous underwater sound recording. Another very important goal is to use the source code that you all have produced to improve automatic detection-classification systems that listen for whales in order reduce the chances of whales being killed by ships (e.g. right whales in the shipping lanes off Boston, USA, www.listenforwhales.com). It is very obvious from the energy and productivity of the participants in this competition that this was not just about prize money. It was about how a group of smart, motivated people, who were strangers, could work as a group of competitive altruists, to produce software that will have a real benefit for the natural world and the ocean environment, and especially for improving the chances of survival for a species that is near extinction. A huge, huge thank you to all the participants of this excellent competition. And a huge, huge thank to Kaggle and Marinexplore for enabling this to become reality.",2,bronze,1,Tue Apr 30 2013 13:33:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4472,/competitions/whale-detection-challenge,None
/zachmayer,Is this the same dataset as the yelp recruiting competition?,"[Link]:https://www.kaggle.com/c/yelp-recruiting [Link]:https://www.kaggle.com/c/yelp-recruiting/data The training sets at least look identical, but the tests sets are different sizes. What period does this test set cover?",0,None,12,Tue Apr 30 2013 17:55:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4474,/competitions/yelp-recsys-2013,None
/rkirana,GaussianBinaryRBM Question,"Hi, Which of the following methods in GaussianBinaryRBM class is used to get the output probability of the classes? a) score b) P_H_given_V c) mean_h_given_V d) mean_v_given_h e) free_energy_given_v f) free_energy I am trying to find the equivalent of fprop in mlp.py so that I can use similar code to make a submission",0,None,14,Wed May 01 2013 21:29:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4478,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,28th
/breakfastpirate,Questions about 2-stage nature of this contest,"I have a few questions about the 2-stage nature of this contest: 1. Can we change our models/code after May 17th? And then winners submit their code between May 24 and May 31 (to prove they didn't use manual labeling)? 2. Or do our models need to be finalized and frozen by May 17th (end of Stage 1)? And then we simply run those models on the final data? I'm a little confused by the phrase ""Friday, May 17, 2013: deadline to upload final models"" in the timeline followed by ""Friday, May 31, 2013: Deadline for preliminary winners to release code and methods."" My code and my model are the same -- code takes input and produces submission. 3. If #1 is true, can we make 2 submissions per day during stage 2? 4. If #2 is true, how many models can we upload (5?), and how do we upload them? I personally prefer approach #1 over approach #2 because there have been contests in the past when people went to run their ""final"" model on the new data, and it had some tiny glitch that caused the code to fail entirely or to produce really bad results when run on the new dataset. Approach #1 avoids that situation. Thanks, Steve",0,None,1,Thu May 02 2013 03:00:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4481,/competitions/challenges-in-representation-learning-multi-modal-learning,4th
/del=24afca58ed919d7e,Sample submission file ?,The sample submission file is supposed to be on the data page but I don't find it. What is the format of the submission file ? Juste one row with the emotion number or a probability for each of the emotion ?,1,None,3,Thu May 02 2013 11:14:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4482,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,44th
/kosmos,Why only 2 submissions per day?,"At least 10 would be good. I can submit only twice a day; its too less. If you submit a wrong file by mistake once, thats it!",0,None,1,Thu May 02 2013 15:57:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4483,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,199th
/robertp0,Transductive Approach,"From the learning perspective, where is the difference between the unlabeled training data and the test data? In other words, is it allowed to use the test data as ""additional unlabeled training data"", i.e. to follow a transductive approach?",0,None,1,Thu May 02 2013 16:58:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4485,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,33rd
/domcastro,Reproducibility Error,"Hi, I have a strange problem so I thought I'd share. I had written an R script with a GBM, a GLM and a Random Forest. Random Forest always produced the best results 88.406 on leaderboard. I thought I'd best tidy up my code so I removed the GBM and GLM from the script. The random seed has been set the same for both scripts. However, when I now run the script with just the Random Forest, my score is 88.385. I've looked at the variables set for GBM and GLM (ntree, minobs, depth, lambda) and I can't see a clash in the wording with anything from Random Forest. I know it's not a big change and for the competition, it doesn't really matter - but I was wondering what it could be. Any ideas? EDIT: And for the first training tree, the MSE difference is 2%",0,None,2,Thu May 02 2013 17:26:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4486,/competitions/cause-effect-pairs,6th
/weidongyang,new users and new business??,"The data description says: ""The test set's user and business files only contain the records that cannot already be found in the training set. "" Why in the leaderboard there exits User Mean Benchmark, Business Mean Benchmark and Global Mean Benchmark? It should just have the Global Mean Benchmark??",0,None,3,Fri May 03 2013 10:02:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4494,/competitions/yelp-recsys-2013,None
/foroushani,fine print,"From the competition's rules document: ""The First, Second, Third, and Fourth place Prize Winner(s) will receive $2,500, $1,750, $1,250, $1,000, respectively (awarded as a check payable to the respective Prize Winner(s))."" Would that not be $6,500 total?",0,None,1,Fri May 03 2013 11:12:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4495,/competitions/kdd-cup-2013-author-disambiguation,65th
/smcinerney,"Checkins don't actually mean a customer visit, or that the business was even open","Some checkins occur clearly outside business hours, e.g. 2am and 6am at the restaurant below. So a checkin does not in fact imply a customer visit? Nor do they reliably tell us when the business's hours of operation are. What, if anything, do checkins mean? It seems they may indicate: [Link]:http://officialblog.yelp.com/2012/02/making-check-ins-more-meaningful.html%20%20 or [Link]:http://www.yelp.com/topic/san-jose-yelp-check-ins-how-do-they-work-and-whats-to-gain-by-using-them name Gyros Palacecategory1 Restaurantscategories Restaurants|Greek|Mediterraneanfull_address 8378 W Thunderbird Rd\nPeoria, AZ 85381business_id tQTqlMW0sODNbe188ah1Ygcheckin_info {u'11-2': 1, u'2-3': 1, u'19-5': 4, u'17-0': 1, u'20-5': 1, u'14-6': 1, u'13-2': 1, u'13-1': 2, u'11-6': 1, u'12-4': 1, u'21-2': 1, u'11-3': 1, u'13-4': 1, u'13-0': 1, u'12-2': 2, u'12-3': 1, u'6-0': 1, u'11-0': 1}",0,None,4,Fri May 03 2013 15:24:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4496,/competitions/yelp-recruiting,194th
/someone4,Alignment?,"The face rectangle provided by OpenCV seems quite bad. Interpupillary distance can vary from 12 px to 30 px even for frontal faces! Performance gain should be expected if the images are aligned by a good facial point detector. But does the rule allow that? Can I make use of some free or commercial face detectors for alignment? Should the winning team also open source their facial point detectors if they use them? Also, I find that the original image of some faces can be obtained by google-ing keywords like 'surprised face' 'embarrassing face'. Can I add these images to my training set? I'm afraid some of them will appear in the final test set.",0,None,2,Fri May 03 2013 15:44:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4497,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,None
/blindape,Running python from R,"I'm trying run the python scripts from R. Something like this: setwd('c:/anaconda/lib/site-packages/pylearn2/scripts/icml_2013_wrepl/black_box')system('cd c:/anaconda/lib/site-packages/pylearn2/scripts/icml_2013_wrepl/black_box')system('python train.py mlp.yaml') but the compiler fail. (From cmd on windows the python scrips run fine) Some tip for fix it? Problem occurred during compilation with the command line below:g++ -shared -g -O3 -Wno-write-strings -Wno-unused-label -Wno-unused-variable -fno-math-errno -DMS_WIN64 -m64 -IC:\Anaconda\lib\site-packages\numpy\core\include -IC:\Anaconda\include -o C:\Users\JAG\AppData\Local\Theano\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_42_Stepping_7_GenuineIntel-2.7.3\tmph_sqib\baf8a6fdee34b135ea9110785e356489.pyd C:\Users\JAG\AppData\Local\Theano\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_42_Stepping_7_GenuineIntel-2.7.3\tmph_sqib\mod.cpp -LC:\Anaconda\libs -LC:\Anaconda -lpython27 -lblasTraceback (most recent call last): File ""train.py"", line 141, in <module> train_obj.main_loop() File ""C:\Anaconda\lib\site-packages\pylearn2\train.py"", line 109, in main_loop self.algorithm.setup(model=self.model, dataset=self.dataset) File ""C:\Anaconda\lib\site-packages\pylearn2\training_algorithms\sgd.py"", line 285, in setup mode=self.theano_function_mode) File ""C:\Anaconda\lib\site-packages\theano\compile\function.py"", line 221, in function profile=profile) File ""C:\Anaconda\lib\site-packages\theano\compile\pfunc.py"", line 506, in pfunc on_unused_input=on_unused_input) File ""C:\Anaconda\lib\site-packages\theano\compile\function_module.py"", line 1339, in orig_function defaults) File ""C:\Anaconda\lib\site-packages\theano\compile\function_module.py"", line 1167, in create _fn, _i, _o = self.linker.make_thunk(input_storage=input_storage_lists) File ""C:\Anaconda\lib\site-packages\theano\gof\link.py"", line 383, in make_thunk output_storage = output_storage)[:3] File ""C:\Anaconda\lib\site-packages\theano\gof\vm.py"", line 799, in make_all for node in order] File ""C:\Anaconda\lib\site-packages\theano\gof\op.py"", line 580, in make_thunk output_storage=node_output_storage) File ""C:\Anaconda\lib\site-packages\theano\gof\cc.py"", line 913, in make_thunk keep_lock=keep_lock) File ""C:\Anaconda\lib\site-packages\theano\gof\cc.py"", line 856, in __compile__ keep_lock=keep_lock) File ""C:\Anaconda\lib\site-packages\theano\gof\cc.py"", line 1279, in cthunk_factory key=key, fn=self.compile_cmodule_by_step, keep_lock=keep_lock) File ""C:\Anaconda\lib\site-packages\theano\gof\cmodule.py"", line 975, in module_from_key module = compile_steps.next() File ""C:\Anaconda\lib\site-packages\theano\gof\cc.py"", line 1201, in compile_cmodule_by_step preargs=preargs) File ""C:\Anaconda\lib\site-packages\theano\gof\cmodule.py"", line 1633, in compile_str (status, compile_stderr.replace('\n', '. ')))Exception: ('Compilation failed (return status=1): In file included from C:\\Anaconda\\lib\\site-packages\\numpy\\core\\include/numpy/ndarraytypes.h:1728:0,\r. from C:\\Anaconda\\lib\\site-packages\\numpy\\core\\include/numpy/ndarrayobject.h:17,\r. from C:\\Anaconda\\lib\\site-packages\\numpy\\core\\include/numpy/arrayobject.h:15,\r. from C:\\Users\\JAG\\AppData\\Local\\Theano\\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_42_Stepping_7_GenuineIntel-2.7.3\\tmph_sqib\\mod.cpp:3:\r. C:\\Anaconda\\lib\\site-packages\\numpy\\core\\include/numpy/npy_deprecated_api.h:9:82: note: #pragma message: C:\\Anaconda\\lib\\site-packages\\numpy\\core\\include/numpy/npy_deprecated_api.h(8) : Warning Msg: Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\r. c:/anaconda/mingw/bin/../lib/gcc/x86_64-w64-mingw32/4.7.0/../../../../x86_64-w64-mingw32/bin/ld.exe: cannot find -lblas\r. collect2.exe: error: ld returned 1 exit status\r. ', '[_dot22(SGD[X], h0_W)]')Mensajes de aviso perdidoscomando ejecutado 'python train.py mlp.yaml' tiene estatus 1",0,None,5,Sat May 04 2013 14:08:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4501,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,36th
/blindape,MomentumAdjustor,"I'm trying increase the momentum, but MomentumAdjustor is ignored. The momentum monitor channel is constant. Someone has done? extensions: [ !obj:pylearn2.training_algorithms.sgd.MomentumAdjustor { start: 2, saturate: 50, final_momentum: .7 } ],",0,None,1,Sat May 04 2013 17:58:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4502,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,36th
/kuhelee,submission format,"Hi, I am not clear about the format of the submission. Please throw some light on it and a sample submission, if possible. Thanks",0,None,6,Sat May 04 2013 20:39:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4503,/competitions/challenges-in-representation-learning-multi-modal-learning,None
/cipolla,How could customer preference be reflected in the rating?,"Hi all, I am new to recommendation system. I hold a question since the first day I downloaded the data. As indicated in the description, the test set only provides customer/user data which are not listed in the training set. Does it mean there is no way to use any user based learning method since there is almost no relevant user info in the test set (except for the number of reviews made)? Cheers,",0,None,1,Mon May 06 2013 16:38:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4508,/competitions/yelp-recsys-2013,None
/claudiumusat0,User identifiers,"Hello, I have a question regarding the identifiers. It says in the description that ""Identifiers are consistent between the test set and the training set."" However, if I look for a random test user, taken from the test review file, such as u9dFxlc33_gCM4f1rDL1Ug, I can't find it in yelp_training_set_review.json. Either my grep somehow fails or the identifiers aren't consistent. Can you help out? Thanks, Claudiu",0,None,5,Mon May 06 2013 19:14:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4512,/competitions/yelp-recsys-2013,None
/wcukierski,Python script to email competition alerts,"I wrote a little python script to scrape Kaggle's public leaderboards and send an email alert (works with gmail only) if any of the listed thresholds are passed. [Link]:https://github.com/wcuk/KaggleScripts/blob/master/compMonitor.py You can toss it in a cron tab and configure it to send a notification if your first-place score gets passed while you're on vacation. For example, to run it every 30 minutes on a *nix machine, edit your scheduler (crontab -e) to read: */30 * * * * /path/to/python /path/to/compMonitor.py Hope some of you find it useful!",3,bronze,3,Mon May 06 2013 19:47:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4513,None,None
/blindape,Understanding black_box_dataset.py,"I'm trying understand this script (this is my first approach to python). What is the use of preprocessor, fit_preprocessor and fit_test_preprocessor?. Where them are effectively used? Other thing I can't find is relative a batch_size. This parameter is used in every yaml with values 100,20,6... but I don't know if its justification is just for memory manage or has other effect on the model and if so, what is the rule, if any, to choose it?",0,None,1,Mon May 06 2013 21:19:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4514,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,36th
/renoranger,How do I identify the “Long Tail” portion of my distribution?,"I have a number of data eries that may be described as normal skewed or Gamma distributed. For example, say I have a group of customers and have calculated their spend over a fixed length of time. I then create a histogram to see distribution of spend and find an extremely long tail for the small group of high-spenders. My question is, since I want to identify these high spenders, are there methods to empirically inspect a distribution of values and approximate the point at which the distribution becomes ""long-tailed"" to create a cut in the data? I am not looking at inspecting a histogram to find the long tail. Just looking for a consistent method to systematically cut the data.",2,None,3,Mon May 06 2013 22:01:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4515,None,None
/thomaspitau,Allowed algorithms ?,"Hi, is it necessary that the ranking algo is based on a statistical classificator (or similar)? Or would a rule based algo which doesn 't require a training in the classical sense be allowed as well? Kind regards, Thomas",0,None,1,Mon May 06 2013 22:35:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4516,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/nicalvarez,Help! I'm stuck,"Hi everyone, I am complete novice to the field of Machine Learning and I could use some advise. So far, I managed to extract some features and feed them to sklearn models. But sometimes I feel that I don't quite understand what's going on. I think there are two main areas I should focus on, but I don't know where to start: 1 - Visualizing Data What kind of visualization could I do to get some intuition about how features affect the expected output and how models are performing? I dont know, maybe learning curves, loss function plotting, quantiles over some numerical features? 2 - Text processing It seems like processing the review text could yield some improvement over the results. I tried a little bit with Bag of words and some models (linear models, bayesian) but nothing good happened in the cross-validation. Could you give a hint about how to process the text, and how to train an appropiate model for that? Any hint or pointers to read materials will be welcome. Thanks!",0,None,1,Tue May 07 2013 21:12:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4525,/competitions/yelp-recruiting,49th
/wcukierski,Welcome!,"The bird is the word, or so they say. This is a tough problem and a really interesting data set. Will deep learning again rise to challenge on this competition? Time will tell!",0,None,5,Wed May 08 2013 23:14:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4534,/competitions/the-icml-2013-bird-challenge,None
/gaborfodor,Prize/Points,"Hi, Is this a standard competition awarding ranking points? Similar question about the tiers... Also I wonder if you are trying to find the minimal prize amount for a research competition. There are four other research competitions with $500 prize pool and now you are offering a bottle of wine :D",0,None,1,Thu May 09 2013 10:23:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4538,/competitions/the-icml-2013-bird-challenge,None
/neocortex,great dataset,Thanks Yoshua for this awesome dataset! From what sources are the images collected and is there a licence that comes with this dataset?,2,None,5,Fri May 10 2013 18:11:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4552,/competitions/facial-keypoints-detection,None
/domcastro,test files - 1 line or 16 lines,"Hi, are the test files one continuous recording or are there lines dedicated to each microphone? When I open a random file, there are 16 distinct lines thanks EDIT: realised it is continuous. Couldn't find the commas at line ends but I think it's my editor!",0,None,1,Fri May 10 2013 23:06:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4554,/competitions/the-icml-2013-bird-challenge,40th
/bram278806,Two different dates for releasing test data,"Hello, The [Link]:http://www.causality.inf.ethz.ch/cause-effect.php?page=rulescontain two dates on which the test data will be released. Which one is correct? Monday, July 15, 2013: Track 2: Deadline for submitting software. Release of test data. Friday, July 19, 2013: Track 2: Release of test data. Thank you.",0,None,1,Fri May 10 2013 23:36:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4556,/competitions/cause-effect-pairs,5th
/wcukierski,Reading .aif files,This topic came up a few times in the Marinexplore competition. You may find some of these links useful: [Link]:https://www.kaggle.com/c/whale-detection-challenge/forums/t/4094/to-read-aiff-format-using-perl [Link]:https://www.kaggle.com/c/whale-detection-challenge/forums/t/3793/how-to-read-aiff-files-from-r-and-or-matlab [Link]:https://www.kaggle.com/c/whale-detection-challenge/forums/t/3794/python-aiff-package-answer,0,None,1,Fri May 10 2013 23:43:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4557,/competitions/the-icml-2013-whale-challenge-right-whale-redux,None
/neil5100544,Competition Rules?,It seems that I need to accept the competition rules before I can download the data. However I can't find the rules. Where are they? Neil,0,None,1,Sat May 11 2013 05:05:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4559,/competitions/the-icml-2013-whale-challenge-right-whale-redux,None
/weizhezhang,"A A link to hackreduce which is not shown on kaggle, with more infor,","I did not found similar information as that in this link : http://www.hackreduce.org/ai1ec_event/dunnhumby-hackathon/?instance_id= you may find more description of the data please delete this post if kaggle has the same information or direct link, thanks",0,None,1,Sat May 11 2013 08:08:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4560,None,None
/colincountinglab,Is this competition on?,"I believe the competition should have started now. But the link to the data still says ""Coming soon!"". Has anyone managed to get hold of the data? Thanks!",0,None,2,Sat May 11 2013 16:05:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4564,None,None
/keshav57,"Urgent, help. 3.55831","This is urgent. I submitted two completely different solutions, and they get the exact same numerical error. And I would expect the error to be 1/12th of what is shows me to be. I also tried submitting the benchmark solution (thirteenth week), and that too gives me a giant error. (3x what the benchmark error as stated by the organizers). 3.55821 instead of 1.20401 Any help is much appreciated..",0,None,6,Sat May 11 2013 21:31:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4568,/competitions/hack-reduce-dunnhumby-hackathon,34th
/domcastro,That was fun,"I realised 2 things today - my data preprocessing skills are slow and I make mistakes when under pressure. Realised I had made a mistake at the preprocessing stage, only noticed an hour before deadline. All good fun",0,None,16,Sun May 12 2013 01:06:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4572,/competitions/hack-reduce-dunnhumby-hackathon,36th
/hidean,Question on Binning/ Discretization,"Hi Kagglers, I am working on a classification data set which has few extremely skewed continuous variables. It has some outliers (1%-3.5% of total data set) and extreme values(<1% of total data set). As part of data pre-processing, I was advised to discretize those variables to remove outlier effects. However, the performance of the classification models are much poorer (average accuracy from low 90s % to mid-low 80 %) than when I did NOT use any of the discretization techniques. So far, I tried, classification models these models : Logistic Regression , SVM , Tree , Random Forest and used supervised discretization algorithms CAIM, CACC, Ameva and also chi-Merge, extended chi2 from the 'discretization' package (R) Should I not apply any discretization techniques? Does binning usually give better performance ? I am confused and not sure what to do :( Could someone give me some advice, Please ? Thank you for your help in advance ! Dean Just for the reference I am working on a data set below [Link]:http://archive.ics.uci.edu/ml/datasets/Bank+Marketing",0,None,1,Sun May 12 2013 05:42:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4573,None,None
/prashantjha0,"""Votes"" in Review file","I want to confirm that votes (useful, cool and funny) in Review file are the votes given by users, other than the reviewer, to the review. Correct?",0,None,1,Sun May 12 2013 07:44:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4574,/competitions/yelp-recsys-2013,None
/devendrasinghsachan,Preventing Overfitting on the training data,On training data my algorithm outputs around 94% accuracy. but on the test set the accuracy is only about 57%. I suspect that its because of overfitting of the learning algorithm on the training set. Please advise me how to reduce this overfitting gap..,0,None,1,Sun May 12 2013 14:24:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4577,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,None
/mechallenge,Description of Top performance approach,Hi I am a newbee. I wish to about the what are the things that top performer did. Is it possible for top performers to share the basic description of their approach. I believe it will be useful for amateur people like me. Thanks and Regards Prabu,0,None,3,Mon May 13 2013 12:22:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4580,/competitions/hack-reduce-dunnhumby-hackathon,102nd
/deadbeatdawg,Submissions accepting integers and decimal floating points,Just a PSA for people who made the same assumption as I did that the submission only accepts integers for # of useful votes: Kaggle accepts decimal floating points too (a little counter-intuitive to me but that'll teach me to assume too much). You'll easily knock off 0.05 off your RMSLE using this one weird tip from this stay at home mom. Hope this info helps you dislodge Mr. Anon from his perch!,2,bronze,2,Mon May 13 2013 15:38:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4581,/competitions/yelp-recruiting,74th
/arghyaroychaudhuri, how to know which are the correct assignment for validation set ?,I've read the evaluation method but i need to know how to test the result on the validation set ? i mean if i run some algo (e.g: the benchmark) on the validation set how shall i know which are the correct assignments ? i've done cross validation on the training set. but is there any way for the validation set ? Thank you in advance,0,None,3,Mon May 13 2013 15:52:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4582,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/ws45100529,Probability of singing at any point,"Dear challenge organisator, I would like to know more precisely what do you mean by ""assign a probability that a given species of bird sings at any point in a continuous, 150 second recording"". Is it the confidence in which we can say that specie X sings at least one time in clip Y? Or is it the proportional time during which specie X sings during clip Y. For instance, if specie X sings exactly during 75 seconds of clip Y (150 seconds) what is the correct answer: 1 or 0.5 ? Thank you.",0,None,1,Mon May 13 2013 16:26:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4583,/competitions/the-icml-2013-bird-challenge,29th
/donghyun,Cross validation results and test results,"Maybe because of the small labeled training examples, cross validation results are somewhat different from test results. For examples, the model 2% better than the previous model on cross validation is not better on test results. Does everyone suffer from similar problems? Any idea to predict test results accurately before submission?",0,None,4,Tue May 14 2013 06:36:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4590,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,2nd
/sudheerkovela,Features used in Python Benchmark code,Can someone explain me what are the features used in the benchmark code (in feature_query.sql) Thanks in advance.,0,None,4,Tue May 14 2013 11:17:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4591,/competitions/kdd-cup-2013-author-paper-identification-challenge,202nd
/kirmak,Extra training data,"Hi there, I have a tricky question. Is it allowed using extra data for training the classifier, such as non-copyrighted bird song recordings from the Internet? Cheers, Kir",0,None,15,Thu May 16 2013 02:59:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4605,/competitions/the-icml-2013-bird-challenge,19th
/himanshu5,NaiveBayesClassifier error,"i am doing the ""detecting in social commentary"" contest held in sept . i am applying naive bayes but cant get it right. i am in starting phase right now. what i did is ; import nltk from nltk import NaiveBayesClassifier ///my sample training data to understand functions of NaiveBayesClassifier train={ ""shit"" : ""YES"", ""you"", :""NO"" , ""fag"", : ""YES"", } classifier = nltk.NaiveBayesClassifier.train(train) but this is giving me error : too many values to unpack. i didn't understand what it means.",0,None,3,Sat May 18 2013 09:24:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4618,None,None
/agconti,Can we redistribute the data provided by Kaggle?,"Hi Guys, I created an IPython Notebook for this competition as a tutorial / example for people looking to use python for data analysis. I'm storing the notebook in a git repo and would like to include the dataset for convenience. Are there any guide lines for redistributing the data? thanks!",0,None,2,Sat May 18 2013 16:26:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4621,/competitions/titanic,None
/fbriggs,Use of extra data for segmentation,"I have read elsewhere on the forum that it is not allowed to use additional external training data (at least, doing so disqualifies one for the prize). I assume this is talking about extra examples of each species. I would like to ask about a different kind of external data- I am considering a method which uses supervised segmentation to identify syllables. This means it needs a collection of recordings annotated with examples of correct segmentation into syllables to train. Then at test time it can automatically segment the recordings. Would it be allowed to add this kind of annotation to data *in the training set provided*?",0,None,1,Sat May 18 2013 18:05:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4622,/competitions/the-icml-2013-bird-challenge,6th
/adalbertobosco,Data problem,"When analyzing the data was for treating with my algorithm, I detected that there are several problems with all the data, name of law and so on. which makes it very difficult the process of creating the solution.",0,None,2,Sun May 19 2013 05:44:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4625,/competitions/vote-prediction,6th
/breakfastpirate,Private test data,"Any estimates on when the private test data will be available? Thanks, Steve",0,None,1,Sun May 19 2013 13:18:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4627,/competitions/challenges-in-representation-learning-multi-modal-learning,4th
/rkirana,Useful features,"Here are some useful features: Keyword based: a) Number of keywords in the author-paper combination b) Number of keywords in all papers written by author c) Common keywords between the author-paper and the ones written by author RF, GBM are giving similar results",0,None,3,Sun May 19 2013 20:39:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4628,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/kltah101724,preprocessing the data,"Hello all, I'm pretty new to ML, and am currently in Week 3 of the Stanford ML course. 1. I see a lot of chatter in the forums about preprocessing the data. Is this necessary and how do you do it? 2. When i display the images, the look to be in incorrect orientations (screenshot attached). Was this intentional, and if not, will not putting them in the correct orientation first affect my results? Alex [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/7271/Screen Shot 2013-05-20 at 8.29.52 AM.png",0,None,1,Mon May 20 2013 02:34:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4630,/competitions/digit-recognizer,None
/jacobrw,left_eye_center_x Format Issue,"Hi, I am following the R tutorial to the letter. However, when I enter ""str(d.train)"", my data looks like this: 'data.frame': 12086 obs. of 31 variables: $ left_eye_center_x : chr ""66.03356391"" ""8 40 41 43 41 39 43 39 38 42 45 49 55 51 50 52 48 45 44 52 56 92 128 134 132 141 146 145 143 134 137 146 150 146 140 136 131 12""| __truncated__ ""64.33293617"" ""65.05705263"" ... $ left_eye_center_y : num 39 NA 35 34.9 NA ... $ right_eye_center_x : num 30.2 NA 29.9 30.9 NA ... $ right_eye_center_y : num 36.4 NA 33.4 34.9 NA ... $ left_eye_inner_corner_x : num 59.6 NA 58.9 59.4 NA ... $ left_eye_inner_corner_y : num 39.6 NA 35.3 36.3 NA ... $ left_eye_outer_corner_x : num 73.1 NA 70.7 71 NA ... $ left_eye_outer_corner_y : num 40 NA 36.2 36.3 NA ... $ right_eye_inner_corner_x : num 36.4 NA 36 37.7 NA ... ... Not only does my data have 12086 observations (instead of 7049), but my $ left_eye_center_x seems to be messed up. Can you tell me what is going on? Thanks!",0,None,3,Mon May 20 2013 03:12:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4631,/competitions/facial-keypoints-detection,None
/jasonz0,total useful votes for a user,"Let's say I am looking at a review in the training set, and then go to find information about the user (reviewer). I see that the user has X number of total useful votes. Does this X number of useful votes include the number of useful votes for the review I was looking at? And if so, does that also hold true for the test set?",0,None,3,Mon May 20 2013 08:40:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4632,/competitions/yelp-recruiting,45th
/zhaoyiliang,duplicate reviews in the training set,"I just notice a duplicate records in the training set: (wonder whether is it done purposefully?) { ""_id"" : ObjectId(""5195fc71de59aba3ad6e0a7d""), ""votes"" : { ""funny"" : 2, ""useful"" : 6, ""cool"" : 4 }, ""user_id"" :""q9XgOylNsSbqZqF_SO3-OQ"", ""review_id"" : ""smqH4bR-l29YZunwhGKtIQ"", ""stars"" : 5, ""date"" : ""2010-01-12"", ""text"" : ""I have been going to this dentist office for a few years now and would recommend them to anyone. They are very flexible in scheduling your appointments and they call to remind you of them. They also call to remind you when you need cleanings. That person al touch goes a long way.\n\nMandana Kheshtchin and Navid Javadi are both extrem ely gentle and personable. They are down to earth and reasonable in their prices. I have been to a lot of dentists that recommend unnecessary procedures to make money, these two are the opposite. They have often told me of procedures I need(fillings, root canal, wisdom extraction ect) and told me which ones were the most important to take care of and which could wait. \n\nTheir staff is friendly and their offices have TV's you can watch while you get your mouth worked on."",""type"" : ""review"", ""business_id"" : ""jlH7V4ktlu_OyLqqTm2c1A"" } and { ""_id"" : ObjectId(""5195fc7fde59aba3ad6f2fc8""), ""votes"" : { ""funny"" : 2, ""useful"" : 6, ""cool"" : 4 }, ""user_id"" :""q9XgOylNsSbqZqF_SO3-OQ"", ""review_id"" : ""KPf0qikDOISdxkUUtgdWuQ"", ""stars"" : 5, ""date"" : ""2010-01-12"", ""text"" : ""I have been going to this dentist office for a few years now and would recommend them to anyone. They are very flexible in scheduling your appointments and they call to remind you of them. They also call to remind you when you need cleanings. That person al touch goes a long way.\n\nMandana Kheshtchin and Navid Javadi are both extrem ely gentle and personable. They are down to earth and reasonable in their prices. I have been to a lot of dentists that recommend unnecessary procedures to make money, these two are the opposite. They have often told me of procedures I need(fillings, root canal, wisdom extraction ect) and told me which ones were the most important to take care of and which could wait. \n\nTheir staff is friendly and their offices have TV's you can watch while you get your mouth worked on."",""type"" : ""review"", ""business_id"" : ""jlH7V4ktlu_OyLqqTm2c1A"" }",0,None,6,Mon May 20 2013 12:11:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4633,/competitions/yelp-recsys-2013,None
/barrenwuffet,Running pylearn2 on EC2 ??,Anyone have any luck getting pyLearn2/Theano/etc up and running on an EC2 ubuntu gpu instance?,0,None,2,Mon May 20 2013 15:09:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4634,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,None
/himanshu5,numpy installation error,"i am installing scikit tool . for this i need numpy. i have download numpy for python 2.7 . my windows is 64 bit. when i tried to import numpy it shows me error : File ""C:\Python27\lib\site-packages\numpy\random\__init__.py"", line 99, in <m dule> from mtrand import * ImportError: DLL load failed: The application has failed to start because its s de-by-side configuration is incorrect. Please see the application event log or se the command-line sxstrace.exe tool for more detail. here mtrand.pyd file is unable to load. any help?",0,None,2,Mon May 20 2013 17:01:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4635,None,None
/miyaclark,Actual values of test set,"Hi, Does anybody know where can I find the actual results of the Test set? In the Data section it is stated that test set is actually the training set, but when I tried to match training and test set by rows they contain, I don't get any match. And second the size of training set is different than test set. I would appreciate if anyone can tell me how can I test my own prediction results. Best, Miya",0,None,3,Mon May 20 2013 17:11:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4636,/competitions/digit-recognizer,None
/jaberg,Confused: splits vs. csv files,"What's the relationship between train.csv and test.csv, and the ""Training"" ""PublicTest"" and ""PrivateTest"" splits? The contest description page talks about e.g. the Training split with the 28709 examples, but that is not really relevant to the contest right? The contest just uses the train.csv examples as training, and the test.csv examples as the so-called public test?",0,None,3,Mon May 20 2013 19:09:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4637,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,11th
/unsupervised,Cannot submit new models?,"It seems that the submission is down since yesterday, is it officially closed for submission or a bug in kaggle? Thanks",0,None,7,Mon May 20 2013 20:09:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4639,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,2nd
/berniefu,"43,873 users?","Hi all I noticed that there should be 43,873 users in the training data. But my code outputs 45,981 users from yelp_training_set_review.json. Anybody has the same result or i'm just very wrong? Thanks!",0,None,2,Mon May 20 2013 23:18:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4642,/competitions/yelp-recsys-2013,None
/iangoodfellow,Data is available / new submissions allowed,"Hi everyone, I apologize for all of the chaos this week. Several people were unaware of the code and model freeze deadline this Friday. This was due to a miscommunication between people running the contest, and in fact we had posted contradictory information online. Because of this, we are going to use the least restrictive rules posted and allow new submissions until the Friday deadline. Note that the contest does require entries to be open-sourced, so we will use your submitted code to verify that you are not training using the test data. Another problem this week was the data itself. The parser for splitting the data into train, public test, and private test was not working correctly. That issue has been resolved now, and the data is available for you to work with. I'm waiting for Kaggle to re-enable submissions, but in the meantime you can download the new private test set and prepare your submissions. For those of you using pylearn2, don't forget to delete the cached ${PYLEARN2_DATA_PATH}/icml_2013_emotions/test.X.npy file.",1,bronze,18,Tue May 21 2013 02:56:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4643,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,None
/dmiip1,data format error!,"I felt very confused of this format error:Couldn't find matching destination row for '420' on sortable column 'AuthorId'. Did you include a row identifier that isn't in the solution file? (Line 2). Can someone explain to me? Thanks!!!! Btw, the file is "".csv"" format and the content is AuthorId,PaperIds 420,360546 24220 168137 424838 2759,5738240 50667169 4347791",0,None,1,Tue May 21 2013 04:33:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4645,/competitions/kdd-cup-2013-author-paper-identification-challenge,312th
/del=24afca58ed919d7e,Problem with the robot,"I made a submission but the robot never finish to compute the results. So I have a ""pending"" submission and I can't resubmit it. So I can only post one result. Can you fix the bug ? Can I post my second submission today ? Thanks",0,None,6,Tue May 21 2013 16:56:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4647,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,44th
/herimanitra,Codes in research papers,It's pity that all codes provided in research papers below are written in Matlab: [Link]:http://webdav.tuebingen.mpg.de/causality/,1,bronze,6,Tue May 21 2013 19:37:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4649,/competitions/cause-effect-pairs,None
/kf101354,Use of the data after the competition,"I know this is an old competition but maybe someone will still be able to answer this for me. I didn't participate in the original competition but would like to use the data (which is still available) in my PhD research. Is this acceptable use? The most relevant section of the rules seems to be: ""Any and all competitors are free to publish summary and analysis information as a result of the Competition, but you agree not to share, distribute or otherwise make known any source essays."" Can I still publish if I wasn't a competitor? Thanks!",1,None,7,Tue May 21 2013 21:08:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4652,/competitions/asap-aes,None
/larry77,Approach for Prediction,"Dear All, I confess that I am a bit confused, maybe because I have not any strong background in sound analysis. For each audio file in the training data, you get its cepstrum, but since the test files are longer, there also the cepstrum is longer. If I think about some prediction mode like y~x_train, then I have the problem that x_test (i.e. the data I need to use for my prediction) have a different size/dimension. How do you handle that? Cheers Larry77",0,None,4,Tue May 21 2013 23:06:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4654,/competitions/the-icml-2013-bird-challenge,None
/ecorocks,levels(labels)[rf$test$predicted],"I found this bit of code in the randomForest benchmark, and was wondering if anyone could explain it? I understand what it does, but why? For context: labels <- as.factor(train[,1]) train <- train[,-1] rf <- randomForest(train, labels, xtest=test, ntree=1000) predictions <- levels(labels)[rf$test$predicted]",0,None,1,Wed May 22 2013 00:34:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4655,/competitions/digit-recognizer,None
/herimanitra,Output threshold of a given submission (I'm still confused!),"How Organizers will know that values I assign to each “valid” test files refer to -1, 0 or 1 because my decision boundary maybe scarce",0,None,1,Wed May 22 2013 17:10:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4659,/competitions/cause-effect-pairs,None
/aygallego,Do I have to join a team,"Hello, I wanted to know if I have to join a team or if I can submit by myself? Thanks! Andrea",0,None,2,Thu May 23 2013 01:00:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4660,None,None
/donghyun,semi-supervised embedding,"Is there any one who implemented weston's paper ""deep learning via semi-supervised embedding"" and submitted the results in this challenge? I would like to compare my method with the weston's method in this task. In pilot test on MNIST, the weston's results on the paper are better than my method without dropout.",0,None,1,Thu May 23 2013 07:25:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4661,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,2nd
/omoekan09,reading csv file into octave,I am not having much success loading the data into octave. I tried dlmread but it is taking way too long. Any ideas/suggestions willl be appreciated.,5,None,17,Fri May 24 2013 00:00:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4667,/competitions/digit-recognizer,None
/donghyun,Will the labels of test data be provided after submission deadline?,"If the test labels are provided, deeper analysis of learning methods on this task will be possible.",0,None,6,Fri May 24 2013 06:29:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4668,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,2nd
/ayushrajsingh,Algorithms not handling more than 32 categories of categorical variables.,"Attributes like name, tickets, cabin are creating problem, because they have more than 32 categories. Therefore I had to remove them. What can be done to include their effect on predictions? Thank you.",0,None,2,Fri May 24 2013 10:41:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4670,/competitions/titanic,None
/blindape,Thank you for this amazing challenge,"Thank you Ian, Dumitru and 'Montreal' team. Deep learning - pylearn2 - theano: +++++ I've learned a lot!",0,None,8,Sat May 25 2013 01:45:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4672,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,36th
/seylom,How much did the extra data help you?,"First of, I must say I really enjoyed this competition. It was a great way to put to practice all these papers about deep learning although I still need to learn a lot. Thanks for Pylearn too. Great piece of software. I had used Matlab in the past but Pylearn + Theano really made my life easy. I was wondering how much unsupervised learning improved your results. I got in a little late but tried a few deep architectures (stacked auto-encoders, deep belief nets, conv nets ...) but my model barely improved with the extra data (I used lots of it). I was never able to pass the .56 bar. Could you please share a bit about how much the extra data helped you? Also if hyperparam selection does impact the usefulness of that data please do share how you came up with them (grid search or simply luck?) Thank you.",0,None,2,Sat May 25 2013 02:28:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4673,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,61st
/davidthaler,What now?,Question for Ian and the organizers: What do Sayit and I need to do now? Are we going to get an email with some more instructions or something?,0,None,1,Sat May 25 2013 03:43:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4675,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,1st
/binghsu,No one say how to do it?,"For I don't have enough time to design model in this job, I have no experience. Is there anyone share his/her method? BTW. Hi Ian, I am still curious about your mlp benchmark. What is the first layer really doing and how the third RBM layer transfer gradient to the lower layer?",0,None,5,Sat May 25 2013 16:14:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4677,/competitions/challenges-in-representation-learning-multi-modal-learning,12th
/jialu98336,How to merge team,"Hi organizers, My friends and I wish to merge our teams but we both have submitted before. But obviously according to the rule, merging team without exceeding the limit is allowed. So I wish to know how we should do to merge. Thank you so much.",0,None,1,Sat May 25 2013 20:53:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4678,/competitions/kdd-cup-2013-author-disambiguation,2nd
/gertjac,external data,I use [Link]:http://names.mongabay.com/male_names.htm to derive gender from user name. Is this OK? Attachted the prepared data that I use (based on most common male and female names; names for both genders are only assigned if the frequency ratio is at least 2). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/7337/mf.txt,7,silver,8,Sun May 26 2013 14:04:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4679,/competitions/yelp-recsys-2013,20th
/abhishek,the final result and code?,has the winner published their technologies used and the code ?,0,None,1,Mon May 27 2013 13:22:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4681,/competitions/whale-detection-challenge,None
/herimanitra,User ranking,"Hi, I'm just curious to know how the user ranking is computed because I've seen a great change in the first place. I'm admirative of RBM but it seems that He has reached the top with just 9 competitions against 19 for Xavier Conort.",0,None,1,Mon May 27 2013 16:19:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4682,None,None
/kltah101724,white noise in NN weights,"I'm using neural networks for this problem. When I visualize my weights, I see some of them with just white noise and barely any sculpture are all (see image attached). Why is this and how can I correct it? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/7340/Screen Shot 2013-05-27 at 10.31.43 PM.png",0,None,1,Mon May 27 2013 16:57:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4683,/competitions/digit-recognizer,None
/rahulmohan30,Using other algorithms,Is it okay to use other algorithms for this project - for example logistic regression or a neural network?,0,None,9,Mon May 27 2013 22:54:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4684,/competitions/titanic,None
/ayushrajsingh,"How do I combine the results (predictions) if I have generated predictions from say, randomforest, gbm, svm, nnet to get more accurate predictions?","More specifically, how to improve my predictions by creating an ensemble? I mean I know that we perform regression on the results(predictions) one gets from different algorithms(random forest, nnet, gbm, svm). But how do we do this ?",0,None,1,Tue May 28 2013 13:43:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4686,/competitions/titanic,None
/zevolve,Predicted Rating as an integer,"Are the predicted ratings expected to be integers? This makes sense to me, since reviewers are forced to select integers, and this corresponds to the examples shown...except that the sample submission shows a non-integer.",0,None,1,Tue May 28 2013 23:01:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4690,/competitions/yelp-recsys-2013,None
/littleding,extern tools,"Hi admin~ I wonder if it is ok to use any published pypi modules available on [Link]:https://pypi.python.org/pypi , take the 'hashes' library for example, which calculate similarities of string, or otherwise, do we need to write every code ourselves? Thanks for your help!",0,None,1,Wed May 29 2013 03:34:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4691,/competitions/kdd-cup-2013-author-paper-identification-challenge,5th
/abhishek,probability values?,"hi, I wanted to know whether the probability values are either 0 or 1.?",0,None,1,Wed May 29 2013 18:09:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4696,/competitions/the-icml-2013-whale-challenge-right-whale-redux,35th
/nitaidean,Anonymous Leaderboard,"Something looks very fishy on the leaderboard... there are tons of anonymous users, and lately 3 in the top spots. I've looked at other competitions and didn't see anywhere near the same prevalence of anonymous users. What's going on?",0,None,17,Thu May 30 2013 00:22:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4701,/competitions/yelp-recruiting,5th
/acacam,"Should the submission be ""closed"" ","Dear organizers, We have question about the submission of track2 in KDDCUP2013. If we think author a, b, c are the same one. Is it forced to submit a, a,b,c b, b,a,c c, c,a,b or I can do something like this? a, a,b,c b, b,a c, c,b Since you have mentioned this rule in this page [Link]:https://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/details/evaluation But it seems that I can submit the second version successfully and have a rank on the leaderboard. So is it valid at the final hidden 30% test data? Or such result would be disqualified? Thanks for your reply.",0,None,1,Thu May 30 2013 03:20:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4704,/competitions/kdd-cup-2013-author-disambiguation,1st
/wzchen,Do we predict probabilities?,"In the Evaluation page, i see the following sample submission id,ACTION 1,1 2,0.2 3,1 4,0 5,2 ... Two questions: Should our submissions be the probability that the user has access (e.g. 0.2)? This would make sense given that evaluation is done with an ROC curve. What's up with the 2?",1,bronze,10,Thu May 30 2013 06:19:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4705,/competitions/amazon-employee-access-challenge,159th
/vikaskumar2,Can we use Statistical tool R to ceate the model/algorithm.,"Hi All, Can we use Statistical tool R to create the model/algorithm? or we have to write the algorithm in some specific programming language? Thanks, Vikas",0,None,5,Thu May 30 2013 15:06:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4709,/competitions/amazon-employee-access-challenge,1412th
/miner2013,the test file doesn't have a-survived- field,"I ran my model over the test file and got a classifcation for each person, if he survived or not, but I don't know if he actually servived or not!!",0,None,2,Fri May 31 2013 00:37:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4716,/competitions/titanic,None
/earthminator,As to Bagging of RandomForest,"I am new one for the data mining. Recently, Because I need use Randomforest to do a project. I just know the technique, Bagging. I just want to ask everyone. When you use Bagging to form subdata based on orginal data, how many samples you will set to form a subdata. I mean, generally, How much is the size of each subdata. Directly using random method to set size? Thank you",0,None,4,Fri May 31 2013 16:21:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4719,None,None
/ahassaine,Filename format,"Can we have more information about the filename format? In 20090328_000000_189s6ms_TRAIN16_1.aif, I know that it is the 16th training file which is labeled 1. But what about the other numbers? Thanks, Ali",0,None,2,Fri May 31 2013 20:26:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4722,/competitions/the-icml-2013-whale-challenge-right-whale-redux,None
/jonwilliams,"Repeated data, with conflicting labels","The following two pairs of files have identical time stamps, nearly identical data, but opposite analyst labels. There are also cases in which the time stamps are off by a millisecond or two, but again the data are nearly identical and the analyst labels conflict. Can anyone comment on this? 20090329_184500_68297s6ms_TRAIN19979_0.aif 20090329_184500_68297s6ms_TRAIN19980_1.aif 20090330_091500_33344s0ms_TRAIN26264_0.aif 20090330_091500_33344s0ms_TRAIN26265_1.aif",2,bronze,2,Fri May 31 2013 23:16:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4724,/competitions/the-icml-2013-whale-challenge-right-whale-redux,8th
/gregvs,Comparing progress,"Am I right in thinking that it is no longer possible to gauge progress against others in this contest? I.e., the top scores on the leaderboard, even new ones, may or may not be using spurious features that will not exist in the final dataset. If this is true, would there be any interest in starting a thread self-reporting scores on SUP2Data (or a subset of it)? Competition leads to innovation...",0,None,4,Sat Jun 01 2013 00:56:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4725,/competitions/cause-effect-pairs,166th
/gaspoda,calculated fields in Excel,"Hi, I am wondering if i could make the proportional computation part of the Pivot table. I tried using calculated fields but i am not sure how to make correct formula - sum(survived) / count(survived) does not work in pivot table. https://storage.googleapis.com/kaggle-competitions/kaggle/3136/media/proportions.PNG Is it possible at all ?",0,None,1,Sat Jun 01 2013 18:56:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4728,/competitions/titanic,None
/mewertowska,Improving your score - leaderboard message,"Does it happen to anyone else, that when your new submission is better than current, best submission - the message says that you didn't do better (although the score implies you did)? Later when I refresh it, my submission moves up - it's just the message seem to be wrong.",0,None,2,Sat Jun 01 2013 19:56:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4729,/competitions/amazon-employee-access-challenge,706th
/yedtoss,Can DuplicateAuthorIds contains Id not in Author.csv?,"The format of the submission file is : AuthorId,DuplicateAuthorIds where AuthorId should contain only all authors in Author.csv. Now what about DuplicateAuthorIds? Can I have id not in Author.csv. For example assume 9, 15 are in Author.csv and 27 are not. 9 , 15 and 27 are all duplicate Should I submit AuthorId,DuplicateAuthorIds 9,9 15 27 15,9 15 27 Or AuthorId,DuplicateAuthorIds 9,9 15 15,9 15",0,None,1,Sat Jun 01 2013 20:20:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4730,/competitions/kdd-cup-2013-author-disambiguation,151st
/jasonz0,Test set,"Does anyone know if the public leaderboard test set is the same for every submission? I know the actual results will be based on on a different, larger test set, but is there any consistency between submissions for the public leaderboard?",0,None,1,Sat Jun 01 2013 22:50:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4731,/competitions/yelp-recruiting,45th
/sarik104303,trouble with taste profile subset,"Hi All I'm working on music recommender systems as my Master project and after search a lot I decided to use 1 million song dataset as a good dataset. In this dataset there was a subset information about tracks in data files and lastfm that contain tracks that their ID are starting with A and B. I aggregated all of these information and I wanted to use it for recommendation. unfortunately when I looked at subset of taste profile, each user has played tracks that are not in our subset information file for example their ID started with a letter other than A and B. So, if I want to use subset of dataset but there are tracks in subset taste profile that are not in subset additional information files what should I do? please help me thanks a lot",0,None,1,Sun Jun 02 2013 09:02:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4733,None,None
/akashsaluja,Using Matlab for ML,"Hi, I am new to ML.... and had a little previous knowledge of Matlab. I've read few tutorials on Kaggle, some are for python and some are for R. I am wondering can't we use Matlab instead...? Or do I need to get in touch with Python, R and Matlab at the same time for the sake of participating at Kaggle? If there are benefits involved by using Pthon, R can someone list them briefly. Thanks Akash",0,None,2,Sun Jun 02 2013 22:12:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4736,/competitions/titanic,None
/lucamaderna,new user,"Hi, I'm just registered in kaggle and I'd like to start with an easy competition. Could you suggest me an easy competition to start? thanks a lot luca",0,None,4,Mon Jun 03 2013 08:44:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4737,None,None
/analyticbastard,anybody using sparse filters?,I made an implementation in Python but I am not sure if the results are similar to Ng's co-authors (I have no access to Matlab currently). I am not happy with the results I am getting when using the embedding with a random forest. Anybody following this approach with the official implementation?,0,None,7,Mon Jun 03 2013 13:10:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4738,/competitions/amazon-employee-access-challenge,78th
/alchemist,Final evaluation,"Hi guys, in the leaderboard, it's stated that the tests are done on around 30% of data, while the final standings will be calculated on 70% of it. Does it means that another data set will be released at the competition end, and our algo will need to make predictions for those ? Or rather, from actual submisson file you only take 30% of lines to calculate it ?",0,None,1,Mon Jun 03 2013 13:17:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4739,/competitions/amazon-employee-access-challenge,793rd
/hidean,How to treat time variable,"I have a time variable on a biomedical data-set, studying the effects of food on BMI over a time period. I am just wondering if I should treat the time variable just like any other explanatory variables. All the books that I have is about data mining and couldn't find much about these type of longitudinal data-set. Any guidance, please?",0,None,1,Mon Jun 03 2013 17:44:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4740,None,None
/jscheibel,competition idea duplicate patents,"I wasn't really sure where to voice a thought for a competition ideas, so I thought I'd throw it out here and let it stew for a while (hope the moderators don't mind). That is, I'd write it here in case anyone out there thinking of hosting a competition for academic purposes and needs subject matter (or heck if the government sees this and wants to do it). I'd like to see a competition on patent law. in short: Provided the text (and possibly image) to a patent being filed, find matching patents that duplicate the patent, if any. This would help experts throw out patent applications that do not represent new material.",0,None,2,Mon Jun 03 2013 19:37:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4742,None,None
/suryaram,Completely New to Data Science,"Hi Guys, I am currently a High School Student who is interested in Statistics and Computers, and has been recommended to look into Data Science. I am not really sure where to start, however. I finished a Code School class on R, and have taken AP Statistics, and AP Computer Science. I would like to know what the next step to take is, so that I could one day compete on Kaggle. Thanks",0,None,1,Tue Jun 04 2013 00:08:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4743,None,None
/nninan,Submission error for titanic,ERROR: Unexpected error: 'prediction is not a valid value for Double.'... [Link]:http://www.kaggle.com/c/titanic-gettingStarted/submissions#340892 or [Link]:http://www.kaggle.com/c/titanic-gettingStarted/leaderboard?submissionId=340892 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/7373/genderclassfaremodel.csv,0,None,4,Tue Jun 04 2013 01:01:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4744,None,None
/haodeng,Do I need to be a statistician or scientist to perform data analysis?,"I'm a software developer building enterprise applications for many years. Just begin to check out the data analysis in my spare time. To learn new language like python or R is simple for me. The difficult part is statistics, machine learning part. I try to read some books recommended in the wiki but this is not easy especially you have a fulltime job. I'm just wondering do I need to be a statistician or scientist to be a data analyst. Can anyone give me some advice how to start learning data analysis?",1,None,3,Tue Jun 04 2013 14:59:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4745,None,None
/ctsats,"Dead link (""seminal paper"")","Hi there. The link for the ""Viola and Jones' seminal paper on object detection"" mentioned at the end of the R tutorial: [Link]:https://www.kaggle.com/c/facial-keypoints-detection/details/getting-started-with-r is dead.",1,None,3,Tue Jun 04 2013 15:56:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4746,/competitions/facial-keypoints-detection,None
/chipmonkey,Jumping the Gun on HHP2,"First of all, huge congratulations to team POWERDOT (as well as EXL Analytics and Blind Ape if I understand the leaderboard correctly. I got bumped out of the top 100, which means that a LOT of models performed relatively better on the complete dataset than on the 30% validation set... (or, equivalently, that my model performed relatively worse, but we won't talk about that). I find that very exciting, particularly with EXL's and Ape's big leaps towards the end! Secondly, though, and yes I'm aware I'm jumping the gun and acting like a grade school kid (gimme gimme gimme), but is there any word on the criteria for being invited to the Masters HHP2 competition? This was the most academically challenging thing I've done since college, and while the other Kaggle competitions are interesting, the scope of the HHP was just addicting, and difficult to recapture... Unless we can get invited to the next one. ;-) Judging from the announcement: [Link]:http://blog.kaggle.com/2013/06/03/powerdot-awarded-500000-and-announcing-heritage-health-prize-2-0/ it says ""The competition will be open to the top eligible finishers"" from this competition. Any idea how many top finishers that would be? Does my vote that anyone who beat the original benchmark be allowed in count for anything? :-) :-) :-) Whoever does make it in, good luck in Round 2. I think this was a great experiment and the utility of having even more data is really exciting. I'm looking forward to seeing what is learned!",0,None,3,Tue Jun 04 2013 17:22:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4748,/competitions/hhp,63rd
/miroslaw,Public Leaderboard data... is it always the same?,"I'm curious how the 30% subset of data is selected for the public leaderboard. Is the same 30% used for all contestants, or is a random subset selected for each time you submit a prediction? I would suspect the former but would appreciate if someone knowledgeable on the subject could clarify. Thank you.",0,None,1,Tue Jun 04 2013 23:37:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4749,/competitions/amazon-employee-access-challenge,65th
/thesanction,Constructing RandomForests algorithm,"I think the best way to understand an algorithm is to build it yourself. To this end I have two questions - 1) Is there an easy way to see the source code behind R packages? Particularly the RF implementation... 2) Would anyone be willing to collaborate in a project to reproduce the RF package in another language, most notably Mathematica? Even simple e-mail correspondence and direction towards this end from someone who understands the RF algorithm in detail would be greatly appreciated. I am interested in using Mathematica's massive library of state-of-the-art computational algorithms in combination with the traditional RF approach to see how changes to the method effect performance in different cases. Thanks! Mitch",1,None,4,Wed Jun 05 2013 00:59:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4750,None,None
/southpole,Model upload,"Just to confirm, we can upload the model by 19th Jun. Their is no necessity to upload anything by 12th Jun, right?",0,None,10,Wed Jun 05 2013 08:23:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4751,/competitions/kdd-cup-2013-author-paper-identification-challenge,536th
/hq2015,How difficult is this task for human?,"Hi guys, I am new here, as you guys have worked on this task for a while, I have a question for you. How difficult , do you think, is this task for human? Do you think a human can quickly learn to performance this task? Thanks! Qi",0,None,2,Wed Jun 05 2013 15:37:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4752,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/davidthaler,Ties,The multimodal challenge ended in a 3-way tie for 1st place. What happens to the points/award money in the case of ties?,0,None,1,Thu Jun 06 2013 01:17:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4757,None,None
/acacam,Number of final test data submissions,"Dear organizers, Do we are allowed to use one result for final result? Or can we use moer than one results (such as track2, we can select 2)? Thanks.",0,None,1,Thu Jun 06 2013 08:51:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4759,/competitions/kdd-cup-2013-author-paper-identification-challenge,1st
/analyticbastard,Good data visual analysis tool,"Any good visual analysis tool out there? I want to see the distribution of a variable conditioned on another variable. If possible, open source and ideally as commands in Python (a module). Any suggestions?",0,None,6,Thu Jun 06 2013 23:13:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4762,/competitions/amazon-employee-access-challenge,78th
/gouthamrao,What type of false predictions are preffered?,"The dataset is about predicting whether an employee has access or not, depending on the input data. My question is, if the submitted algorithm will have some errors in prediction, is it preferred to err on the side of denying access or allowing access? Ideally we'd want to come up with an algorithm that is 100% accurate, but supposing that is not possible, which type of error is preferred? I would assume a ""no access""prediction is preferred over a ""grant access prediction""",0,None,2,Thu Jun 06 2013 23:21:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4763,/competitions/amazon-employee-access-challenge,None
/gtholpadi,What comprises the evaluation set?,"Currently, we compute duplicates for authors in Author.csv, submit our results, and are evaluated on that. Will a different set of authors---not present in Author.csv---be used for the final evaluation? Or is it that only a portion of our submission file is really evaluated now, and another portion of the same file will be evaluated finally?",0,None,1,Fri Jun 07 2013 13:36:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4764,/competitions/kdd-cup-2013-author-disambiguation,53rd
/arunmysore,Data sciences certification,I am trying to explore more on data sciences and have extensive experience in data analyticis not not much of statistics. I am looking for a good online certification program. I found data sciences certification program offered by University of Washington. Can anyone of you suggest if it is worth getting this certification or any other good ones.,1,None,3,Fri Jun 07 2013 22:33:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4772,None,None
/leustagos,Question about model submission,"Admins, Currently we have a team in both tracks, and we are using the outputs from one into another. Can we submit in each task only the data its uses from the other in csv format? Of course, we will point out that we used our model from other track.... Or do we need to upload both models in both tracks? Of couse one would be able to reproduce our results with the files provided.",0,None,1,Sat Jun 08 2013 00:58:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4773,/competitions/kdd-cup-2013-author-paper-identification-challenge,2nd
/buysoysauce,Can I see my performance on test data,"After test data released on June 20, can I see the performance of the test set submission before the final deadline?",0,None,1,Sat Jun 08 2013 10:31:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4774,/competitions/kdd-cup-2013-author-paper-identification-challenge,9th
/herman1,Changing profile privacy level,A newbie question: how do I change the privacy level of my Kaggle profile? There does not seem to be any option to do this after selecting the initial privacy level.,8,None,2,Sat Jun 08 2013 11:30:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4775,None,None
/alexanderengelhardt,Can I quit from a competition I entered,"Hi, I have underestimated the difficulty of a particular competition where I would now like to cancel (I suspect staying in there will somehow affect my future overall rank?). However, I can't find a link to quit. Is that on purpose, i.e. are we not able to quit a competition once we jumped in? Could you tell me if it's possible to cancel a competition, and if yes, how so?",12,None,9,Sat Jun 08 2013 15:17:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4778,None,None
/paoletto,hand-in clarification,"hello, I'm sorry for the perhaps ridiculous question I'm going to ask I'm new in the ml world, trying to analyze this dataset as part of a course exercise. the question I have is about the hand in. I roughly understood the input data, where each user 'class' is composed by many subclasses (which may or may not have some laser of importance, I did not get), and I assume that the real data that a possible model should process will contain user classes which may only partially overlap with one or more of those in the training set. now the question is: what is that sequence of action expected as hand in supposed to be? at first I thought it should be the result of the model for reach record of the test set, but that set is half the size of the expected solution, so I'm confused. another thing, what is the 'area under the curve' supposed to represent? probably this will become clear once I understand the hand in though :-)",0,None,2,Sat Jun 08 2013 22:33:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4779,/competitions/amazon-employee-access-challenge,1184th
/svasa1,Is anybody using neural networks for the titanic problem?,Just wondering if neural nets can solve this...?,11,None,46,Sat Jun 08 2013 23:05:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4780,/competitions/titanic,None
/user215806,How to deal with Test Files?,"As has been posted earlier, I am a bit confused regarding the size of test files, as they have been recorded over a longer period of time, and thus have higher number of samples as compared to training set. My question is can anyone guide how to squeeze the test data-set so that the number of samples in a single example in the test data-set are the same as the training data-set?",1,bronze,1,Mon Jun 10 2013 03:29:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4783,/competitions/the-icml-2013-bird-challenge,None
/jaredplumb,Missing Users,I would like to make sure I understand this correctly. Are there numerous users missing that are part of the submission but are not present in either the training or test user data?,0,None,1,Mon Jun 10 2013 03:38:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4784,/competitions/yelp-recsys-2013,None
/alecradford,Generalizing Results From First Day Labels To Test Set?,"Just wondering if others are struggling with this and have any advice which would be much appreciated! We'll work on an approach, have it locally test well using AUC for the provided first day labels (thank you so much for releasing them!) but when we submit we've had the test score disagree by as much as 0.275 in AUC with our local score - almost the difference between first and last place. It's gotten to the point where I'm thinking there's a bug in my submission code or my work flow is terribly prone to overfitting. It's a real interesting problem, that's been quite a lot of fun to work on - but really challenging!",0,None,1,Mon Jun 10 2013 05:35:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4786,/competitions/the-icml-2013-bird-challenge,18th
/yuenking,Coursera datasci,"I think quite a number of us are participating in this competition for the peer assessment in coursera class [Link]:https://class.coursera.org/datasci-001/class/index Since our peers will be looking at our solutions before the deadline of this competition, should we also make it publicly available on the forum as per kaggle policy?",0,None,8,Mon Jun 10 2013 12:38:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4787,/competitions/amazon-employee-access-challenge,523rd
/wcukierski,Writing up methodology,"A note from the hosts for those interested in workshop participation: Please mail working notes to [Link]:mailto:icml4b@gmail.com by June 15th, if possible. The format can be a 2-4 page .pdf (free template) describing your best method. These working notes will be presented at the international workshop ICML4B in a special session. You are welcome to come to the workshop to present your work, but need to register to do so.",0,None,4,Mon Jun 10 2013 16:22:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4788,/competitions/the-icml-2013-bird-challenge,None
/intellijawa,Need to remove a team member who was accidently added,Hi We need to remove a team member who was accidently added. Team member who needs to be removed is : https://www.kaggle.com/users/89861/siddharth-sharma Regards Manish,0,None,1,Mon Jun 10 2013 19:26:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4790,/competitions/kdd-cup-2013-author-paper-identification-challenge,186th
/abymathew,Using time series to create epochs of scenario,"There are scenarios associated to the disaster. 1. Ship hit the ice berg 2. Ship was sinking 3. Ship sank. Between these three epochs, survival instincts kicked in and the passengers were trying to survive. Using this classification analysis, it would be able to predict how many could survive against how many survived. I want to find out how many could have survived. Anyone has done analysis along these lines.",0,None,1,Mon Jun 10 2013 21:23:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4792,/competitions/titanic,None
/willturnage,Possibility of unknown resources?,"In the test data, all of the resource Ids can also be found in the train.csv file. Do we need to also account for the possibility that the final data will include resource Ids that aren't in train.csv? Also, can we assume that all the numeric values in the test files are unique across columns? Meaning, will there ever be a collision between resource Ids, role_code ids or manager iDs? Wasn't sure if things were unique across columns in case I started mashing things together...",0,None,2,Tue Jun 11 2013 03:45:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4796,/competitions/amazon-employee-access-challenge,608th
/gaoyuanjun,same pairs in both training and test set,"I noticed that there are 274 (business, user) pairs in the test set that are also in the review data in the training set. Does this mean that the user can give reviews to the same business twice? Or is there some mistake going on?",0,None,1,Tue Jun 11 2013 17:12:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4800,/competitions/yelp-recsys-2013,34th
/wcukierski,Competition Close,"Track 2 closes in about a day. Thanks to everyone who has participated thus far and don't forget to select your two scored submissions. The private leaderboard will be released at Midnight UTC tomorrow, but please keep in mind that the standings are only preliminary at that point. Good luck!",0,None,1,Tue Jun 11 2013 20:38:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4801,/competitions/kdd-cup-2013-author-disambiguation,None
/ravikumarmunukutla,Weka output predictions to test file (not working),"Hello! I'm trying to build RandomForest in Weka and am struggling to get Weka output predictions to test file. I get an error message that the training and test files are incompatible. Here is what I'm doing: I included class variable (survived) in test file, at the same place as it appears in the training file, and populated it with ""?"" (question mark). In the ""More options"" dialog on the classify tab on weka, I chose both ""Store predictions for visualization"" and ""output predictions."" Wondering what I'm doing wrong or not doing. Many thanks for your time! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/7792/Screenshots.png",0,None,1,Wed Jun 12 2013 03:40:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4802,/competitions/titanic,None
/soates,Subscript out of bounds error on NaiveBayes,"I am attempting to build a Naive Bayes model. I am using the NaiveBayes function from klaR package but can't seem to produce a model. I load the data and create the model successfully, however when I use the predict function I get the following message: Error in object$tables[[v]][, nd] : subscript out of bounds In addition: Warning messages: 1: In FUN(1:58921[[3L]], ...) : Numerical 0 probability for all classes with observation 1 2: In FUN(1:58921[[3L]], ...) : Numerical 0 probability for all classes with observation 2 I appreciate this is a novice question, but I have searched the internet (stackexchance, cross validation etc) and am still stuck, so any assistance would be much appreciated.",0,None,2,Wed Jun 12 2013 03:44:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4804,/competitions/amazon-employee-access-challenge,1520th
/sami6019,Public scores and tricks,"Hi! 1) is this the most challenging competition currently (with enough time to make a submission)? 2) what is your AUC (and other metrics) for train.csv 25k->end range? 3) what is your public score for the same algorithm? 4) has kaggle modified the original data this time? 5) have you found any flaws/tricks for the competition? (yes/no is enough, just asking if one should avoid this) Good luck.",0,None,1,Wed Jun 12 2013 10:33:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4807,/competitions/amazon-employee-access-challenge,451st
/nunoskew,How long does it take to run your model ?,"Hey everyone, My latest model is takin more than 24 hours to run. I was just wondering how much time does it take to run your own models. Just for curiosity sake :). Cheers !",0,None,13,Wed Jun 12 2013 13:04:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4808,/competitions/amazon-employee-access-challenge,573rd
/mlsword,public leadboarder submission,"Hi, i just want to confirm that a subset of the final submission for public leaderboard will be used to calculate the final score for public leader board, right? And we will submit another submission based on a second validate dataset to be released soon for private score? Will the public leadboard score or rank affect the private score or rank in any way? I imagine not. Also the prize and final rank will only be based on the private score from the submission of second validate dataset, right? Thanks.",0,None,8,Wed Jun 12 2013 16:09:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4809,/competitions/kdd-cup-2013-author-paper-identification-challenge,7th
/ganderson,Identify the crew?,"Regarding the Titanic set. Does anyone know a good way to distinguish crew members versus passengers? I noticed the wikipedia says that disproportionate numbers of crew members who embarked from Southampton died. Some hypothetical possibilities to find who were the crew members versus the passengers: - Ticket number. Maybe it is missing, or a special ticket number. - City (embarked). Maybe the crew all got on at Southampton? - Fare. Maybe the fare is missing, or a special value. - Number of siblings aboard. Maybe it is always zero? Obviously this would not be sufficient, but might be of assistance. - Number of parents aboard. It might be like siblings. - Cabin. Maybe it is missing, or a special value or special range of values. - Pclass. Maybe it is missing, or a special value. If you find anything good, let us know!",1,None,6,Wed Jun 12 2013 16:39:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4810,/competitions/titanic,None
/ark7177033,Question about Python Tutorial,"Can anyone tell me why the ""j*fare_bracket_size"" code in the following gives you ""greater than this bin""? Is j* a NumPy convention. Thanks in advance! for i in xrange(number_of_classes): #search through each class for j in xrange(number_of_price_brackets): #search through each price women_only_stats = data[ \#Which element (data[0::,3] == ""female"") \#is a female &(data[0::,1].astype(np.float) \#and was ith class == i+1) \ &(data[0:,8].astype(np.float) \#was greater >= j*fare_bracket_size) \#than this bin &(data[0:,8].astype(np.float) \#and less than < (j+1)*fare_bracket_size)\#the next bin , 0] #in the 1st col",0,None,2,Wed Jun 12 2013 16:45:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4811,/competitions/titanic,None
/anna78,How to manage machine learning projects,"Hi, I am trying to figure out for myself a better way to manage my machine learning projects. I have to say that I am currently failing miserably at this task. I dive into a project and data, and quickly drown in an ocean of R scripts, data, algorithms, functions, updates etc. At some point I lose track of my submissions and can't say which script produced them. I can't even say which script or which update lead to my best score! This is a disaster. Therefore my question to you: How do you manage your machine learning projects? What is your work flow? What does your project catalog and file structure look like? How do you keep track of versions of scripts, functions or data transformations? How do you control your submissions and relate them to code/file/script from which given submission came from? Is github useful tool in your project flow? Do you use some other project management tools? And lastly, how to translate an independent work into team work? How to manage machine learning projects in teams? I am looking for some great advice from all Kagglers! Cheers, Anna",39,bronze,15,Wed Jun 12 2013 18:53:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4815,None,None
/hustmonk,congratulations to cjlin's team,it is a very good job.,0,None,1,Thu Jun 13 2013 02:31:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4818,/competitions/kdd-cup-2013-author-disambiguation,3rd
/mjauch,User and business review counts and averages ,"How are these computed? If I look at all the reviews in the training set reviews and test set reviews for the business with id 1XiG4o4edRcoBcIrP209yg I see 14 reviews in the training set and 2 reviews in the test set. The average of the reviews in the training set is 3.214286. In the training set business file, however, this business has a review count of 15 and 3.5 stars. What am I missing? I'm trying to recreate the benchmarks and am finding that my rmse doesn't match up the way it should, and I'm wondering if that might be because those benchmarks were created using averages from the user and business files which are computed differently from how I would have thought.",0,None,2,Thu Jun 13 2013 04:11:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4819,/competitions/yelp-recsys-2013,None
/alexrosin,My First Forest Scoring,I wonder what Python package was used for the official run of Random Forest model. I ran the unchanged source code using Anaconda 1.5 on Windows and got slightly different predictions and lower score compared to the reference run. By score clustering on the Leaderboard I found that I'm not alone. (:-)),0,None,4,Thu Jun 13 2013 06:32:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4820,/competitions/titanic,None
/ildefons,Can I use this dataset on a research paper?,"Dear Admin, is it possible to use the ""predict grant applications"" dataset in the context of a reseach paper to illustrate the advantages of a new algorithm (so as a benchmark)? Thank you, Ildefons",1,None,4,Thu Jun 13 2013 09:46:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4822,/competitions/unimelb,None
/whitepaper0,Where can I find the answers of the validation set?,"As the timeline says, the answers of the validation set will be released today. But I cannot find it now. Can someone tell me where is it?",0,None,1,Thu Jun 13 2013 18:17:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4823,/competitions/kdd-cup-2013-author-paper-identification-challenge,10th
/benhamner,Valid Solutions Released & Model Upload,"The validation set solutions have now been uploaded (see ValidSolution.csv on the [Link]:https://www.kaggle.com/c/kdd-cup-2013-author-paper-identification-challenge/data). You may now use the validation set solutions to update and retrain your model. In order to be eligible for prizes and recognition, you need to [Link]:https://www.kaggle.com/c/kdd-cup-2013-author-paper-identification-challenge/model by 11:59 PM UTC on Wednesday, June 19. As a reminder, your model should follow the [Link]:https://www.kaggle.com/wiki/ModelSubmissionBestPractices as closely as possible and needs to contain all the code and parameters necessary to make predictions on the test set.",0,None,2,Thu Jun 13 2013 18:52:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4824,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/joergfritsch,Permanently fail to load the test set into weka,I permanently fail to load the test set into weka when using nominal values. Did anyone manage to do that?,0,None,6,Thu Jun 13 2013 20:19:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4825,/competitions/amazon-employee-access-challenge,1086th
/deeptysahu,New to Kaggle and Data Science,"Hi, I am new to data science and also to kaggle. As a part of Data Science course assignment. I have joined kaggle. But I really don't know what I am supposed to do here. Can anyone please help.",1,None,7,Thu Jun 13 2013 21:47:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4826,/competitions/titanic,None
/sjmcdowall1,Why doesn't the test business set have a rating? ,"Ok -- this is most likely a newbie question ... but from what I read -- any businesses in the ""test"" set are businesses that aren't in the training set. However, I see many businesses that have a review_count (like the first one, a McDonalds with 3 reviews) yet there isn't an average rating in the test set for businesses like there is in the training set. If a business has N reviews then by definition (well, or so I think) it should have an average rating if nothing else from those N reviews? Or is the implication of this that every ""review"" for a business in the test set is made up entirely of reviews from the test set itself? I find this unlikely ....",0,None,3,Thu Jun 13 2013 22:32:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4827,/competitions/yelp-recsys-2013,None
/redfox0,How long does it take to calculate?,"Hi, I couldn't make a complete submission because it was always calculating, even though I waited for more than 1 hour... My submission looks exactly like the sample_submission, I only changed the votes in the second column, but opened it with some software like Excel, is that a problem? BTW, does anyone know what the average calculating time is? Such long time waiting is weird.. Thanks in advance!",0,None,2,Thu Jun 13 2013 23:14:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4828,/competitions/yelp-recruiting,285th
/dansbecker,New contest proposal,"What's the protocol for proposing new competitions? I'd like to suggest a competition for early detection of forest fires from satellite images, remote sensing devices and weather data. I haven't thought this through much, and the devil is always in the details. But, I'm curious whether this is something Kaggle would potentially be interested in hosting. I also may have contacts at organizations that hold this data if that helps. Of more general interest, is the protocol for proposing/developing new contests available anywhere?",0,None,1,Thu Jun 13 2013 23:31:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4829,None,None
/xavierconort,I can't reproduce the Public Leaderboard scores,"I can't reproduce the Public Leaderboard scores. For the basicPythonBenchmark, I find 0.8170426. I used R functions mapk with k=10000. What about you?",0,None,8,Fri Jun 14 2013 03:01:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4830,/competitions/kdd-cup-2013-author-paper-identification-challenge,552nd
/ofdomejean,Use of Rapidminer in Kaggle,"Hi, I'm new in Kaggle. I use mainly RapidMiner for Data Mining projects, and also Weka, can I use RapidMiner for the competitions?. any advice. Thank you very much n advance. OFD",0,None,1,Fri Jun 14 2013 17:54:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4834,None,None
/joanenric,how to create a kaggle-like grader?,"First of all, I would say that I'm completely new in machine learning (even in programming). My question is about how to implement a grader in my code in order to avoid submitting dummy solutions. It seems that the titanic grader is nothing but the ratio between correct/total answers. So I have used cross-validation to use the training data as training/testing my solutions as (this is for the case of random forests): ## 4. Create cross validation data cv = sk.cross_validation.KFold(len(clean_train), n_folds = 5, indices = False) ## 5. Evaluate algorithm results = [] for cv_train, cv_test in cv: rf = rf.fit(clean_train[cv_train,1:], clean_train[cv_train,0]) output = rf.predict(clean_train[cv_test, 1:]) temp = np.absolute(np.sum([output, -clean_train[cv_test,0]], axis = 0)) results.append(np.mean(temp)) performance = 1 - np.mean(results) print ""the rate of success is:"", performance However, the performance obtained using this cv and random forests is 0.815918649175 but kaggle gave me the much poorer : 0.72... Other algorithms achieve higher estimated performance 0.87 but kaggle performance is less than 0.73. Although they are testing over different datasets, my intuition says that the performance of both metrics should be similar (since I do not expect much overfitting with random forests) So, can you please provide me some insight. Just to know how to proceed. Thank you!!",0,None,1,Fri Jun 14 2013 17:58:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4835,/competitions/titanic,None
/weidongyang,Can we upload model multiple times?,Can we upload the model multiple times and finally choose one model like submission or just upload model once? Thanks for your help,0,None,1,Sat Jun 15 2013 11:04:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4845,/competitions/kdd-cup-2013-author-paper-identification-challenge,5th
/ericgrig,"About the competition Heritage-2, its participants and problem definition.","About the competition Heritage-2, its participants and problem definition. EricGrig [Link]:mailto:ericgrig@gmail.com June 15, 2013 Antoni thanks! As well as other associates, I received an e-mail from where learned about the fast announcement of the competition Heritage-2. In this regard I have some important remarks. Very important. 1. I consider that the competition Heritage-2 as well as any other competition declared for members of kaggle-community must be free for all participants. It is the fundamental principle. It is impossible to divide associates into the elite good and remained bad, or on clever, and not so clever. It unacceptably and only will strike a hard blow to reputation kaggle.com. Nobody can assume responsibility and claim that one group of people is capable to solve the task, and another - no. We don't know people, we don't know who and when it was connected to the decision, what is the time daily gave to the solution of this task and so on. Besides, I am sure that there are a big number of people who would like to take part in the competition Heritage-2 though earlier of it didn't think. There should be no discrimination. Let there will be many participants, it is more than creative ideas and original decisions. After all, an essence of competition not only in that to win. Each time, solving a new problem, we become one step higher and stronger. 2. Statement of any competitive task has to be well thought over, instead of remind a theatrical performance. Considering not absolutely correct statement of the previous competitive task of Heritage-1, I would like to provide some obvious basic requirements: a) Initially experts who will formulate a competitive task of Heritage-2 have to be sure that initial most ""big sample"" of patients is representative is rather more whole than an objective. It means that the objective regularities peculiar to this sample, remain same and for the corresponding selection received next year, in two years, etc. It is very important. b) Subselection of data which is provided to participants of competition for creation of model of a prediction has to be created on a basis of "" big sample"" with selection of patients on the basis of the random number generator so that the histogram of distribution of the attributes of the same name in ""big sample"" and subselection as much as possible coincided. It with a high probability guarantees that the results received on the basis of model of a prediction, will strongly not differ from results of a prediction for initial ""big sample"" 3. I consider wrong when the time span for a prediction of number of days carried out in hospital, is accepted equal to one year. It is bad approach. I spoke about it earlier ( [Link]:http://www.heritagehealthprize.com/c/hhp/forums/t/4359/about-the-reason-of-the-unsatisfactory-solution-of-heritage-health-prize). It is difficult to construct model with a step in one year and to try to predict something next year if all data which you have are data in two years. At such statement, it is necessary to have data at least in 5-7 years. Considering that limited volume of data which are provided to participants, I consider expedient a problem definition with a step 365/4 days, i.e. the target indicator is a number of days which will be spent by the patient in hospital in 91 days. In this case participants of competition will receive 8 or more consistently the connected samples for creation of model of a prediction, and result will be steady. 4. The problem of anonymity of patients is far-fetched and takes away us aside from the main strategic goal – creation of steady model with the maximum accuracy of a prediction. Anonymity of patients can remain ""deep secret"" if ""asymmetrically"" to set a task, keeping an essence. Let's depersonalize all attributes: - let's exclude the names male - a female, and compare them two any symbols which compliance is known only by experts of a task; - age of each patient we will increase or we will reduce on 1 by means of the random number generator; - any quantitative index we will increase or we will reduce by 0.5% from initial size by means of the random number generator; - let's consider separately each group of nominal attributes. Let's change a sequence of names of these attributes in the list of attributes using the random number generator. After that, we will replace names of all nominal indicators with their serial number, according to the mixed list. All these actions won't have any impact on basic researches of participants of competition and prediction accuracy. If in attribute there is an essence, it will remain irrespective of the name. Now, someone for such depersonalized data can think up a certain absurd model of a legal claim which ""the depersonalized patient"" can show to experts of a task? And in what it would consist? It would be interesting to learn. 5. In summary – let's take a detached view of a problem. - There are a number of obvious indicators which would be useful to the solution of the task, but they aren't present in the list of attributes. Participants of a forum spoke about it. Let's enter the formal concept ""Way of life"" which will include the list of the separate indicators characterizing the patient, for example in a 10-ball scale: - whether the patient earlier smoked, as long - whether smokes now, approximate quantity - whether the patient earlier was engaged in sports, as long - whether the patient is engaged in sports now, how many once a week - how many hours in day watch TV - how many hours in day carries out on the Internet - etc. Let's enter into consideration a large number of such atributes. I can unambiguously claim that existence of these indicators will improve forecast accuracy. It isn't difficult to collect, appropriate them code names and to include in a problem definition. For this purpose it is necessary to look simply in this party … Yours faithfully, ericgrig",0,None,4,Sat Jun 15 2013 15:12:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4847,/competitions/hhp,1269th
/whitepaper0,Can we change the model after the test data is released?,"Admin, Hello! Can we tune the model (changing parameters), or add more features after the test data is released? That is to say, can we change the model after the model submission deadline? Is there a private leaderboard when we submit the solution for test data?",0,None,1,Sun Jun 16 2013 04:10:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4848,/competitions/kdd-cup-2013-author-paper-identification-challenge,10th
/vadimomelchenko,Applications of Random Forests in Dynamic Programming,"Hi! I would like to share the idea with how to improve the calculation of the value function of dynamic programs. I am a mathematician and view dynamic programming from the mathematical point of view. If you have profound knowledge of dynamic programming you have no choice but to be familiar with value functions. In approximate dynamic programming (or adaptive dynamic programming because it's the same), we use statistical methods to estimate value functions such as regression of methods of instrumental variables. What I offer is to use Random Forests instead of regression. I do research in this field, i.e. to estimate value functions using random forests and hope to have results soon. Vadym Omelchenko. Charles University in Prague. PhD student.",0,None,2,Sun Jun 16 2013 14:01:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4851,None,None
/science,gradient boosting in R,"I am trying to use the gradient boosting method (gbm) in R to analyze the Titanic data. If I use the ""survived"" variable in the training data as a factor, I get the following error: Error in gbm.fit(x, y, offset = offset, distribution = distribution, w = w, : The response survived must be numeric. Factors must be converted to numeric. If I use the ""survived"" variable in the training data as a numeric, I get the following error: Error in gbm.fit(x, y, offset = offset, distribution = distribution, w = w, : Bernoulli requires the response to be in {0,1} Can someone please let me know what options to specify to create a GBM model with bernoulli distribution using the training data.? Thanks",0,None,2,Sun Jun 16 2013 18:15:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4853,/competitions/titanic,None
/rkirana,Data Leakage ,"Hi, Will the test set also have the data leakage that we had in the training dataset? There is just one feature ""Number of entries of paper ID - author Id"" in paperAuthor.csv - that when included gives AUC of 0.9522. Most of the upside in AUC comes from this variable. But this is clearly data leakage as the paperAuthor.csv has these by mistake - meaning they probably joined some datasets wrongly to create this? So for the competition to be useful to MSFT, they should not have this variable. In case they do so, CV scores would be different from test. Now that the competition is over, Wonder what this will be for the test dataset? Thanks",1,bronze,1,Sun Jun 16 2013 20:38:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4855,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/rkirana,heritage phase 2 competition,"All, Has the Heritage phase-2 competition been announced? I saw some post on HH Forum that some folks have got invites. What is the invitation criteria for the same. I finished something like 250 and hoping they will invite 300 atleast ;)",0,None,1,Sun Jun 16 2013 20:50:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4856,None,None
/seninp,Recognition with chain codes,"Hi folks: I wonder if anyone here tried to solve this problem by using some sort of cain code transforming the original digit matrix into a curvature. If so, did you get any success? I would like to team up, if possible, to evaluate my idea of elastic curve matching. Thank you!",0,None,1,Sun Jun 16 2013 21:04:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4857,/competitions/digit-recognizer,None
/justinvincent,Short snippet for finding redundant columns,"People already noted that ROLE_TITLE and ROLE_CODE are the same. Also, ROLE_CODE predicts ROLE_FAMILY, so good to note that those two will not be useful to combine when doing feature creation. For future reference, here is a little python/pandas snippet for quickly finding that out: from itertools import combinations def test_predict(df, c_1, c_2): if (df.groupby([c_1])[c_2].nunique() == 1).all(): print '{} perfectly predicts {}'.format(c_1, c_2) def exact_predictors(df): for (c_1, c_2) in combinations(df.columns, 2): test_predict(df, c_1, c_2) test_predict(df, c_2, c_1)",4,bronze,6,Mon Jun 17 2013 05:48:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4859,/competitions/amazon-employee-access-challenge,131st
/abhishek,model submission,do we need to submit the model before the deadline?,0,None,1,Mon Jun 17 2013 12:49:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4860,/competitions/the-icml-2013-whale-challenge-right-whale-redux,35th
/ado89507,"Problem with submissionNo file was detected with your submission. Did you abort the upload? Also, try using a more common file format like '.csv' or '.zip'. ","I've tried to submit a solution by uploading a CSV file but I'm getting the error message: ""No file was detected with your submission. Did you abort the upload? Also, try using a more common file format like '.csv' or '.zip'."" I also tried a ZIP version of the file but I get an unrecognized format exception. I tried using both mac and windows. Is anybody else having this problem? Could the the size of the file (~800 Mb) be a factor? Any suggestion will be appreciated... [Link]:https://www.kaggle.com/c/facial-keypoints-detection",0,None,3,Mon Jun 17 2013 23:25:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4864,/competitions/facial-keypoints-detection,None
/chefele,The Leakage (and how it was fixed) ,"As you know, this contest was restarted because some data leakage was found in the first release of the dataset. Now that the contest is over, I’d like to talk a bit about that leakage; l think the technical details are interesting, and they might make for an interesting case study. I found that it was possible to get an 0.9973 AUC using only leakage, without reading the audio files we were given. For a brief moment, that put my team (“Leaky Larry”) on top of the [Link]:http://www.flickr.com/photos/chef_ele/8835763752/in/set-72157634048640327 and ahead of legitimate teams that created the top algorithms in the first Whale Detection Challenge. Leakage can, of course, undermine the credibility of the leaderboard scores. In the first week of the contest, I gave Kaggle the details about the leakage I found. Cornell / Marineexplore then promptly revised the dataset, and then the competition was restarted. The revision fixed most of the issue, and the algorithm that got 0.9973 on the original dataset (using only leakage) could only achieve a 0.59 AUC on the revised dataset. The leakage came from three sources: The distribution of file lengths (in bytes) The timestamp embedded in the audio clip filename (focusing mostly on the millisecond field) The chronological order of the clips (ordered using the full timestamp) File Sizes After downloading the data and typing a simple “ls -lS”, I noticed that a large number of audio clip files had both the same size and the same label (i.e. whale vs no-whale). Interestingly, fIles with the same size were not duplicates (their md5sums differed). This seemed fishy. To investigate further, I made histograms of the file sizes, broken down by label. Audio files with whale upcalls turned out to have a very specific set of file sizes (see this “comb-like” [Link]:http://www.flickr.com/photos/chef_ele/8835763634/in/set-72157634048640327 where some files are multiples of 148 bytes plus a constant). In contrast, files without whale upcalls had sizes that looked much more evenly distributed (see this [Link]:http://www.flickr.com/photos/chef_ele/8835134511/in/set-72157634048640327). Thus, certain file sizes provided a strong indication that a clip had a whale upcall in it. Also, files with whale upcalls were larger, on average. Millisecond timestamps Another anomaly was related to the timestamps embedded in the filenames. If a whale upcall was not in a file, the millisecond field in the timestamp was almost always a multiple of 10 ms (see [Link]:http://www.flickr.com/photos/chef_ele/8835763570/in/set-72157634048640327). However, if a whale upcall was in a file, the millisecond field seemed evenly distributed in time - i.e. multiples of 1 ms (see [Link]:http://www.flickr.com/photos/chef_ele/8835763486/in/set-72157634048640327). Thus, a zero in the last digit of the millisecond field was strongly predictive; using a simple test for zero as a binary feature yielded a 0.945 AUC by itself. Next, additional histograms of the millisecond timestamps showed that the audio clips without whale upcalls were more likely to start in the first half of a given second (see [Link]:http://www.flickr.com/photos/chef_ele/8835134379/in/set-72157634048640327). Clips with whale upcalls were more evenly distributed across time (see [Link]:http://www.flickr.com/photos/chef_ele/8835763426/in/set-72157634048640327). Putting these observations together, it seems like the audio clips with upcalls were processed in a different way than those without upcalls. As a competitor, though, it’s impossible to tell what the true root causes of these differences were, or if they could be useful. Clip order in the first Whale Detection challenge, the (chronological) ordering of the clips contained information. The same was true in this contest. A moving average of clip labels in the training set showed a familiar pattern: minutes or hours of high whale-call activity, followed by equally lengthy lulls (see [Link]:http://www.flickr.com/photos/chef_ele/8835763360/in/set-72157634048640327). A moving average could be used to capture some of this serial correlation in the leaked test clip labels, providing a “temporally local” probability of a whale upcall. Features To take advantage of all these observations, I created the following features: File size in bytes (as an integer) File size in bytes (as a categorical variable). Timestamp_milliseconds (as an integer) 0 if timestamp_milliseconds was a multiple of 10, 1 otherwise 0 if timestamp_milliseconds was a multiple of 10, moving average of the above 0/1 feature otherwise A logistic regression using these simple features yielded 0.9973 AUC on the leaderboard. I used the ‘glmnet’ package in R for logistic regression, and python to create the features. Fixes Cornell corrected these anomalies by: Capping the file size so that most files were exactly 2 seconds long (8088 bytes). Reducing the millisecond field in the filename timestamp from 3 digits down to 1 (though what that 1 digit represents is unclear). I think it’s easy to see how these slight anomalies could go unnoticed, though some turned out to be unexpectedly effective predictors. Even if competitors didn’t notice these these anomalies, it’s possible that some algorithms might have silently picked up on them if they weren’t corrected. Like software bugs, leakage seems hard to avoid entirely. I applaud Kaggle & Cornell for swiftly fixing these issues once they were found.",98,gold,12,Tue Jun 18 2013 02:18:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4865,/competitions/the-icml-2013-whale-challenge-right-whale-redux,2nd
/abhishek,private leaderboard,Can anyone tell me how is the private leaderboard being calculated as the model was not asked to submit? I'm confused. :D,0,None,1,Tue Jun 18 2013 02:29:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4866,/competitions/the-icml-2013-whale-challenge-right-whale-redux,35th
/forethinker,Question Clarification,"1. Are we supposed to predict a certain date (passed in as a parameter to our program), or is it just March 12,2013 we are supposed to predict? 2. I am guessing we are predicting a future date as though we have nothing but the training data. And the testing data is roughly 30% of the actual data? bluemooon from another post wrote: test dataset was recorded on 3/12/2013, as I checked it, the minimum history of the reviews in the test dataset is about two weeks. 3. What happened to reviews that were drafted within two weeks prior to the snapshot date? I thought the test dataset is supposed to contain all reviews that became available between January 19 and March 12. Does Yelp have a policy where they withhold the review for two weeks before publishing? 4. I am guessing we are supposed to interpolate the prediction based on a snapshot (training set), right? Not on the progress of reviews vote.",0,None,3,Tue Jun 18 2013 02:38:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4867,/competitions/yelp-recruiting,None
/wcukierski,Final leaderboard is coming soon,"We're still waiting on the revised ground truth for the private fold of the test set. Thanks for your patience in the meantime. We should have the final standings posted within a day or two. While you wait, you may find this relevant! [Link]:https://www.kaggle.com/c/mlsp-2013-birds",0,None,2,Tue Jun 18 2013 02:40:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4868,/competitions/the-icml-2013-bird-challenge,None
/kandlekid,Reverse everything ...,"Just curious, the folks at the bottom (#5640) with score 0.0000, couldn't they just reverse all of their logic (a la Seinfeld) and get the correct solution ? ""If every instinct you have is wrong, then the opposite would have to be right.""- Jerry, to George, in ""The Opposite""",0,None,1,Tue Jun 18 2013 05:27:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4873,/competitions/titanic,None
/toddcioffi,We're submitting a result set.  Does it matter how we get there?,"If all we are submitting is a csv file, then how does Kaggle know what we are using as an algorithm? Does Kaggle care how we get what we get? If I understand correctly, Kaggle takes a random half of the 418 records in the test set and shows the score for that 209 as our public score, then holds in reserve our accuracy on the other 209 as our private score. OK... but we're still just submitting results. Instead of doing any sort of analytics or machine learning, couldn't someone instead do research on the Titanic and just find out who survived and who didn't and then hand code each value and submit?",0,None,1,Tue Jun 18 2013 08:18:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4876,/competitions/titanic,None
/desmondng,A different prediction for every run with the same data set,"Hi all, I used a few different algorithms provided by the Python Scikit Package, notably LinearSVC and RandomForestClassifier. When I ran my test set after the learning process with the training set, it predicted a different result for each new run. Sometimes better, other times worse. I suspected that a local minima is the cause of this, but I am not sure. Also, I have not figured out a remedy for this problem. Hope somebody could provide some guidance here. Thanks!",1,None,2,Tue Jun 18 2013 10:45:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4877,/competitions/titanic,None
/ydhiman,My Predictors : Categorical or Numeric ?,"How does one decide,to consider the predictors variables as categorical or Numeric? Can any one comment, would help me choosing my algorithm.",0,None,4,Tue Jun 18 2013 13:54:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4878,/competitions/amazon-employee-access-challenge,1608th
/kschwarz,What programs and tools do people use for competitions,"I am new to Kaggle and looking into what programs and tools people have used to create submissions. I have seen Excel, R, Octave, Python, and a few others. What else are people out there using?",0,None,3,Tue Jun 18 2013 16:33:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4882,None,None
/arturoc,"Newbie question, github","Hi, This is my first challenge in kaggle, I'm a little stuck, but that is a different story. My question here is about my code repository, I must admit I havent read all the Ts and Cs, blame on me. Can I upload my code to my (public) github? I understand it is ok, because I'm not sharing privately, right? Also, can I upload along with my code also the train and test data, or only code? Thanks",0,None,4,Wed Jun 19 2013 10:16:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4885,/competitions/amazon-employee-access-challenge,244th
/eg2000,Memory issue with R,"I've been trying to use R to work on this problem, but apparently R fails to execute my commands. Is the size of the training data set considered too large for R to handle? Is there any way to get around this (memory) issue in R? I've switched from 32 to 64bit, but to no avail. I'd appreciate any help. Thanks!",0,None,3,Wed Jun 19 2013 18:15:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4889,/competitions/digit-recognizer,None
/tohnperfect,Will the groundtruth of the public and private test sets be available?,Thank you for this interesting problem.I wonder if the groundtruth for both test sets will be available for further research.,0,None,1,Thu Jun 20 2013 00:28:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4892,/competitions/challenges-in-representation-learning-multi-modal-learning,None
/mchangun,What Accuracy Should I Be Aiming For?,I'm getting accuracies of about 82-84% with Random Forests and SVM. I am seeing ppl with results > 90-95%. Are these people cheating or is it actually attainable? I want to know because I'm trying to decide if I should try continuing wrestling with this competition to get a better result or move on to something else. Thank you!,22,None,19,Thu Jun 20 2013 14:00:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4894,/competitions/titanic,None
/danielrasinski,Suggestions Please,"Hi, I'm new to machine learning and need some guidance with my assigned project. So basically my task is to determine if a given buyer will succeed checkout (buyer buys the item and everything goes as planned) or not based on the buyers prior history. I'm at the point where I've collected a lot of data on different buyers and there past history (#of successes/failures/price range/feedback/etc.) and also labeled them (i.e. i know the outcome of there next transaction, looking at past history). I'm at the point where I need to construct a model and I was planning on doing this in R. Any suggestions on algorithms to look at, things to try (any help appreciated)? Thanks.",0,None,2,Fri Jun 21 2013 00:36:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4898,None,None
/xavierconort,Where is the field PaperIds in the test set?,"I can't find the field PaperIds in test.csv! I read again the data description page. It says the following: ""Papers that authors have ""confirmed"" (acknowledging they were the author) or deleted (meaning they were not the author) have been split into Train, Validation, and Test sets based on the author's Id. The Train.csv and Valid.csv sets are provided now, and the Test.csv set will be released later in the competition. Name Data Type Comments AuthorId Int Id of the author DeletedPaperIds Nvarchar Space-delimited set of deleted papers (Train only) ConfirmedPaperIds Nvarchar Confirmed papers (Train only) PaperIds Nvarchar PaperIds to rank from most likely to be deleted to least likely (Valid and Test only) Have the rules changed?",0,None,3,Fri Jun 21 2013 01:09:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4899,/competitions/kdd-cup-2013-author-paper-identification-challenge,552nd
/oleksiderkatch,Choosing the number of PCA components,"I've noticed that a bunch of tutorials set n_components=12 in the PCA decomposition. Why 12? I tried all the other values from 1 to 40 for decomposition, and 12 does indeed produce the highest CV score, but I'm not sure how to find that optimal value without trying all the possible options. How does one choose the best value for PCA decomposition?",2,None,4,Fri Jun 21 2013 02:57:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4902,/competitions/data-science-london-scikit-learn,None
/blindape,Rule interpretation,"How we should interpret this rule?: ""Entries may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records"" as (1) ""Entries may not use or incorporate information from hand labeling or human prediction of (the validation dataset or test data records)"" or (2) ""Entries may not use or incorporate information from (hand labeling or human prediction of the validation dataset) or (test data records)"" I think as (1). Is correct?",1,bronze,5,Fri Jun 21 2013 12:06:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4904,/competitions/amazon-employee-access-challenge,14th
/blindape,Prize requeriment,"In Prize description say: ""the requirement that at least one member of each selected team attend the 2013 MLSP Conference"". Sending a paper to the Conference is considered 'attend' or is presential required for eligibility of prize?",2,bronze,1,Fri Jun 21 2013 14:31:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4905,/competitions/mlsp-2013-birds,25th
/chipmonkey,"Misspelled ""Trainning4"" Filename","FYI, The fourth training file has two ""n""s where there should be only one (Trainning4.zip instead of Training4.zip). Don't mean to sound picky or anything, just noticed and thought I'd mention it.",0,None,1,Fri Jun 21 2013 20:25:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4906,/competitions/multi-modal-gesture-recognition,None
/salimali,video of HHP presentation ,"Just for completeness, here is the presentation... http://www.youtube.com/watch?v=ILdDE6mXU_8&feature=youtu.be",1,bronze,1,Sat Jun 22 2013 01:00:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4908,/competitions/hhp,1st
/zygmunt,Site layout in Opera,"Apparently there's been a change in site CSS a few days ago and now it looks bad in Opera (feels ""too big""). Please fix if possible.",0,None,7,Sat Jun 22 2013 14:34:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4909,None,None
/eac13upv08,Apply Classify with set test (weka),"My problem seems to be is that I recognize the test. The process I do is first make the changes in the train.csv and test.csv. Then apply batching to standardize the two files. I then apply the dataset train.arff Naive Bayes (already transformed and made ​​compatible) and get a good result. After train, I apply it to test.arff, and I do not recognize the instances, therefore, to apply the trained model, the result is the result below. Any idea why is this happening? I'm added to test.arff a new attribte ""label"" and transform to nominal (same train.arff), but this attribute valor in instance is ""?"". List values (0 - 9) label. === Re-evaluation on test set === User supplied test set Relation: train-weka.filters.unsupervised.attribute.Reorder-R2-785,1-weka.filters.unsupervised.attribute.NumericToNominal-R785-weka.filters.unsupervised.attribute.Standardize Instances: unknown (yet). Reading incrementally Attributes: 785 === Summary === Total Number of Instances 0 Ignored Class Unknown Instances 28000 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0 0 0 0 0 ? 0 0 0 0 0 0 ? 1 0 0 0 0 0 ? 2 0 0 0 0 0 ? 3 0 0 0 0 0 ? 4 0 0 0 0 0 ? 5 0 0 0 0 0 ? 6 0 0 0 0 0 ? 7 0 0 0 0 0 ? 8 0 0 0 0 0 ? 9 Weighted Avg. NaN NaN NaN NaN NaN NaN === Confusion Matrix === a b c d e f g h i j <-- classified as 0 0 0 0 0 0 0 0 0 0 | a = 0 0 0 0 0 0 0 0 0 0 0 | b = 1 0 0 0 0 0 0 0 0 0 0 | c = 2 0 0 0 0 0 0 0 0 0 0 | d = 3 0 0 0 0 0 0 0 0 0 0 | e = 4 0 0 0 0 0 0 0 0 0 0 | f = 5 0 0 0 0 0 0 0 0 0 0 | g = 6 0 0 0 0 0 0 0 0 0 0 | h = 7 0 0 0 0 0 0 0 0 0 0 | i = 8 0 0 0 0 0 0 0 0 0 0 | j = 9",0,None,1,Sat Jun 22 2013 16:05:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4910,/competitions/digit-recognizer,None
/davidthaler,What was the data?,"The workshop was yesterday, and I'm sure we'd all like to know...",0,None,5,Sun Jun 23 2013 07:42:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4911,/competitions/challenges-in-representation-learning-the-black-box-learning-challenge,1st
/rudikruger,Data,"Hi, The data for this competition is quite large. I for one cannot afford to download the data, and if I could it would take a long time - I live in Africa. Would it be possible to split the dataset into more manageable downloads? I'm specifically interrested in the ""histogram of segments"" data used to create the benchmark. I'm guessing a download that includes everything except the source audio and generated spectograms would be much smaller. Happy Mining",1,bronze,1,Mon Jun 24 2013 08:52:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4912,/competitions/mlsp-2013-birds,57th
/leobuettiker,yelp-recruiting is ending soon - How many to choose!,"The mail I just got stated: ""The ""yelp-recruiting"" competition closes in 6.9 days. You are currently in 89th place as part of the team ""Leo Buettiker."" This competition requires you to choose 5 entries that count towards the final result."" The webpage is a bit confusing on that matter. On a lot of competition I can select up to 5 submissions, but one would also be fine. So do I really need to select exactly 5 submissions? That would not make to much sense for me, as I just like to select my best model.",0,None,1,Mon Jun 24 2013 10:47:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4913,/competitions/yelp-recruiting,53rd
/jellyfish,How to tune random forests ?,"As a complete new comer to all of this, I am using the Titanic competition as an opportunity to learn about random forests. I understand that you can tune random forests by: - selecting which variables to include in the model - changing the number of trees to grow - the number of variables to considered at each split - choosing to consider the importance of predictors I was wondering what other tuning options where available in random forests ? In my tests only the variables to include in the model and the importance of predictors seem to bring a noticeable difference. Also: I undertsand this is a compettion intended for learning. My understanding is that Random Forest are well suited for datasets with a large number of parameters and a small number of data points. Is it correct to conclude that random forests are not the best suited modelisation technique for this competition ? Ahat other techniques would be better suited for this exercice and why ? Thanks to all of you who have already shared code and feedback on this forum; it really helps for beginners. I am using the following code to evaluate the different outcomes. # kaggle Getting Started Competition # Titanic: Machine Learning from Disaster # # Evaluate how different random forest perform # when changing the variables used to train the random forests. library(randomForest) train_all <- read.csv(""../Desktop/R/RMS-data/train.csv"",header=TRUE,as.is=TRUE) # Create 2 different datasets on the first 758 entries of the data train.rf1 <- data.frame( age = train_all[1:758,]$age, sex = as.integer(factor(train_all[1:758,]$sex)), pclass = train_all[1:758,]$pclass, sibsp = train_all[1:758,]$sibsp, parch = train_all[1:758,]$parch, fare = train_all[1:758,]$fare ) train.rf2 <- data.frame( age = train_all[1:758,]$age, # sex = as.integer(factor(train_all[1:758,]$sex)), pclass = train_all[1:758,]$pclass, sibsp = train_all[1:758,]$sibsp, parch = train_all[1:758,]$parch, fare = train_all[1:758,]$fare, Title = as.integer(factor(sub(""(.*?),\\s(.*?)\\s(.*)"", ""\\2"",train_all[1:758,]$name,perl=TRUE))) ) # Create 2 validation datasets with the remaining entries of the data validate.rf1 <- data.frame( age = train_all[759:891,]$age, sex = as.integer(factor(train_all[759:891,]$sex)), pclass = train_all[759:891,]$pclass, sibsp = train_all[759:891,]$sibsp, parch = train_all[759:891,]$parch, fare = train_all[759:891,]$fare ) validate.rf2 <- data.frame( age = train_all[759:891,]$age, # sex = as.integer(factor(train_all[759:891,]$sex)), pclass = train_all[759:891,]$pclass, sibsp = train_all[759:891,]$sibsp, parch = train_all[759:891,]$parch, fare = train_all[759:891,]$fare, Title = as.integer(factor(sub(""(.*?),\\s(.*?)\\s(.*)"", ""\\2"",train_all[759:891,]$name,perl=TRUE))) ) # Replace missing values in training and validation sets train.rf1$age[ is.na(train.rf1$age) ] <- mean(train.rf1$age,na.rm=TRUE) train.rf1$fare[ is.na(train.rf1$fare) ] <- mean(train.rf1$fare,na.rm=TRUE) train.rf2$age[ is.na(train.rf2$age) ] <- mean(train.rf2$age,na.rm=TRUE) train.rf2$fare[ is.na(train.rf2$fare) ] <- mean(train.rf2$fare,na.rm=TRUE) validate.rf1$age[ is.na(validate.rf1$age) ] <- mean(validate.rf1$age,na.rm=TRUE) validate.rf1$fare[ is.na(validate.rf1$fare) ] <- mean(validate.rf1$fare,na.rm=TRUE) validate.rf2$age[ is.na(validate.rf2$age) ] <- mean(validate.rf2$age,na.rm=TRUE) validate.rf2$fare[ is.na(validate.rf2$fare) ] <- mean(validate.rf2$fare,na.rm=TRUE) # Survived status survived <- as.factor(train_all[1:758,]$survived) # Train 2 random forests on each dataset rf1 <- randomForest(train.rf1, survived, ntree=500,importance=TRUE) rf2 <- randomForest(train.rf2, survived, ntree=500,importance=TRUE) # predict the result on the validation datasets prediction.rf1 <- predict(rf1, validate.rf1, type=""response"") prediction.rf2 <- predict(rf2, validate.rf2, type=""response"") # Print how well each model performs print(table(train_all[759:891,]$survived,prediction.rf1),1) print(table(train_all[759:891,]$survived,prediction.rf2),1) # Note: I know the Title = as.integer(factor(sub... hack is ugly and buggy for the ""the Countess. of""",0,None,1,Mon Jun 24 2013 18:24:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4916,/competitions/titanic,None
/miharan666,Which model for regression problem,"Hi all, I need help with the modeling problem. The task is to build a regression model with one output and multiple predictors. The data are very noisy as it is usual for the real world problem. It is suspected that the relations between the model output and predictor are non-linear, so I am testing the MARS and the Gaussian process models. However, I know for sure that the relation between one of the predictors and the model output should has nearly polynomial form. In MATLAB or R when I train flexible models, like MARS and GP, they always overfit and gives too flexible solution. So, the question is what kind of model should I use if I want to fix the relation between the response and one of the predictors and let other relations be loose? If I use MARS or GP, is it possible to tighten the relations between particular variables and response? Is it possible somehow to combine the polynomial regression for some predictors and for others more flexible model? Thank you.",0,None,1,Tue Jun 25 2013 09:56:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4919,None,None
/ayushrajsingh,How do I correct #NAME? entries of business_ids ?,I am having some trouble in handling #NAME? entries of business_ids. Are those values NAs? or There is an entry i.e. business_id? If yes then how do I see them instead of #NAME? ?,0,None,3,Tue Jun 25 2013 12:50:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4921,/competitions/yelp-recsys-2013,None
/hidean,Project suggestions please,"Hi, I need to do a project/thesis to finish off my degree in applied statistics. I am interested in data mining and I've done few classification projects using various algorithms on different data-sets. Now, I am looking for something that is broadly used and useful enough so that it will appeal to future employers. Hopefully, I wish to work in areas of data mining and I heard that employers are looking for people who knows about MapReduce/hadoop frameworks. Unfortunately, I personally do not know anyone working in areas of data mining. I am sure that lot of you here are. :) Could you please suggest me some topics or areas of research that will be useful to know about ? Is MapReduce/hadoop used in many companies ?",0,None,3,Tue Jun 25 2013 15:53:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4922,None,None
/ashishhere,Not able to download datasets,"Hi, I am not able to download datasets for the competition I am trying. Please check. Thanks",0,None,1,Tue Jun 25 2013 19:58:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4924,None,None
/kalynechagas,CSV format problem,"Hi, I know that's a silly question but when I try to convert from xls to csv format, it's automatically changing the id's and putting an equal symbol in front of like that: it should be like that: -F87KP39UTIthblo0zPPHA and csv is adding an '=' : =-F87KP39UTIthblo0zPPHA so it's giving an error on the submission. Anyone has any idea how i can save in csv format without change?",0,None,1,Tue Jun 25 2013 21:24:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4925,/competitions/yelp-recruiting,176th
/jzhangxiang,What am I supposed to do?,"I am new to this, so I have a basic question that puzzles me all the time. Understand that RandomForestClassifier is one of the best way to do this, but if this kind of classifier is already made into class for me to use, what is the extra work that I need to do to get better performance? I understand that for this problem, I need to worry about how to handle missing data. But other than that (or some other problem with complete data), what improvement can I make to an already-coded algorithm (other than try different parameter to start that classifier)? Basically, what is the job description? Thanks!",0,None,1,Wed Jun 26 2013 05:41:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4926,/competitions/titanic,None
/domcastro,Python - what packages?,"Hi, I've decided to make a first-step look at Python. Usually use R and Perl. I have a Mac. Which add ons would I need? I know about numpy, scipy, sckit-learn - what others would I need? I tried to sort things out before but some of the add ons only worked in previous versions of Python. thanks",0,None,4,Wed Jun 26 2013 11:55:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4929,/competitions/amazon-employee-access-challenge,127th
/barisumog,Quick question about the skewed classes in training data,"Hi, The training data obviously has a lot more ""1""s than ""0""s. I skimmed all the forum posts so far, but I haven't found any official guarantees about the test data having the same (or at least close) skewness. Did I miss this, was this ever disclosed? Or are we supposed to take it into consideration during training and generalize towards non-skewed test data? Thanks in advance!",0,None,5,Wed Jun 26 2013 16:05:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4930,/competitions/amazon-employee-access-challenge,46th
/hetong007,How to select my test submission?,"I saw ""Note: Your team leader can select up to 1 submission that will be used to calculate your final leaderboard score."" in My Submissions. But now I cannot choose any sumissions because I cannot click in the grey small square that means ""Selected?"". Is this step necessary? Thank you.",0,None,5,Wed Jun 26 2013 18:23:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4932,/competitions/kdd-cup-2013-author-paper-identification-challenge,55th
/oracle007,What is the percentage of 1's and 0's in your prediction ?,I see that the training data is imbalanced (94% 1's and 6% 0's). For this reason I am curious about the percentage of 1's and 0's in your predictions. I have an AUC ~ 0.75 with random forest classifier and I have approximately the same distribution of 1's and 0's as in the training dataset.,0,None,13,Wed Jun 26 2013 21:58:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4934,/competitions/amazon-employee-access-challenge,884th
/patrickschu,"Titanic: Problem with ""Getting Started with Python"" ","Hi everyone, Thanks for putting up these cool tutorials! I was working my way through the ""Getting Started with Python"" tutorial for the Titanic dataset. However, one thing kept screwing up: After reading in the .csv-file, Python refuses to do execute the ""next"" command (""csv_file_object.next()"", needed to remove the header). Error message: >'_csv reader' object has no has no attribute 'next'. Why is that? It seems to work when I change the 'rb' setting to something else when reading in the data. But then I get stuck later on. I am sure other beginners have had similar issues, but could not find anything in the forum. I am grateful for any kind of help! Thanks, Patrick",2,None,35,Thu Jun 27 2013 12:07:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4937,/competitions/titanic,None
/benhamner,Leakage In Machine Learning Competitions,"(copied to [Link]:https://www.kaggle.com/wiki/Leakage) Data leakage is a pervasive challenge in applied machine learning. It occurs where models exploit idiosyncrasies in the training set to make unrealistically good predictions. This over-represents their generalization error and may render them useless in the real world. One concrete example we've seen occurred in a prostrate cancer dataset. This data included a variable named PROSSURGamong hundreds of others. It turned out this represented whether the patient had received prostrate surgery. PROSSURGwas highly predictive of whether the patient had prostate cancer but was useless for making predictions on new patients. This is an extreme example - many more instances of leakage occur in subtler and hard-to-detect ways. An early Kaggle competition, Link Prediction for Social Networks, makes a good case study in this. There was a sampling error in the script that created that dataset for the competition: a > sign instead of a >= sign meant that, when a candidate edge pair had a certain property, the edge pair was guaranteed to be true. My team exploited this leakage to take second in the competition. Furthermore, the winning team won not by using the best machine-learned model, but by scraping the underlying true social network and then de-anonymizing the nodes with a very clever methodology. Outside of Kaggle, we've heard war stories of models with leakage running in production systems for years before the bugs in the data creation or model training scripts were detected. Leakage is especially challenging in machine learning competitions: in normal situations, leaked information is only used accidentally. In competitions, participants find and intentionally exploit leakage where it is present. Participants may also leverage external data sources to provide more information on the ground truth. In fact, ""the concept of identifying and harnessing leakage has been openly addressed as one of three key aspects for winning data mining competitions"" ( [Link]:http://www.cs.umb.edu/~ding/history/470_670_fall_2011/papers/cs670_Tran_PreferredPaper_LeakingInDataMining.pdf). Identifying leakage and correcting for it is an important part of improving the definition of a machine learning problem. Many forms of leakage are subtle and are best detected by trying to extract features and train state-of-the-art models on the problem. This means that there are no guarantees that competitions will launch free of leakage, especially for research competitions (which have minimal checks on the underlying data prior to launch). When leakage is found in a competition, there are many ways that we can address it. These may include: Let the competition continue as is (especially if the leakage only has a small impact) Remove the leakage from the set and relaunch the competition Generate a new test set that does not have the leakage present Updating the competitions isn't possible in all cases. It would be better for the competition, the participants, and the hosts a if leakage became public knowledge when it was discovered. This would help remove leakage as a competitive advantage and give the host more flexibility in addressing the issue. Some ways Kaggle could help facilitate this include: Having a forum topic devoted to leakage at the outset of each competition Giving a ""Leakage Finder"" profile badge to anyone who alerts us to a source of leakage However, we don't believe we have all the answers here. From your perspective as a participant, what are your thoughts?",6,silver,7,Thu Jun 27 2013 18:33:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4940,/competitions/kdd-cup-2013-author-paper-identification-challenge,None
/lijiefei,About the student prize,"Hi admins, My team is rank 5 now. I want to apply some of the remaining 1000$ prize to attend the conference. How can we apply for this prize?",0,None,1,Fri Jun 28 2013 08:48:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4948,/competitions/kdd-cup-2013-author-paper-identification-challenge,5th
/wcukierski,New Submission Parser,You may have noticed there has been a Kaggle-wide update to submission scoring. Full details of the changes are [Link]:https://www.kaggle.com/wiki/SubmissionParser. This update only affects new submissions; the scores of your submissions before this update are not affected. We will upload valid sample submissions to their respective competitions as we deploy the new scoring system. Thanks for your patience in the meantime. This update affects this competition in the following ways: No meaningful changes are necessary beyond matching the header Please post general parser questions to the [Link]:https://www.kaggle.com/forums/t/4952/new-submission-parser and only post competition specific questions about the new parser here.,0,None,5,Fri Jun 28 2013 15:55:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4958,/competitions/cause-effect-pairs,None
/wcukierski,New Submission Parser,You may have noticed there has been a Kaggle-wide update to submission scoring. Full details of the changes are [Link]:https://www.kaggle.com/wiki/SubmissionParser. This update only affects new submissions; the scores of your submissions before this update are not affected. We will upload valid sample submissions to their respective competitions as we deploy the new scoring system. Thanks for your patience in the meantime. This update affects this competition in the following ways: No meaningful changes are necessary beyond matching the header Please post general parser questions to the [Link]:https://www.kaggle.com/forums/t/4952/new-submission-parser and only post competition specific questions about the new parser here.,0,None,2,Fri Jun 28 2013 15:56:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4959,/competitions/data-science-london-scikit-learn,None
/wcukierski,New Submission Parser,"You may have noticed there has been a Kaggle-wide update to submission scoring. Full details of the changes are [Link]:https://www.kaggle.com/wiki/SubmissionParser. This update only affects new submissions; the scores of your submissions before this update are not affected. We will upload valid sample submissions to their respective competitions as we deploy the new scoring system. Thanks for your patience in the meantime. This update affects this competition in the following ways: We combined ""rec_id"" and ""species"" into a single ""Id"" column by multiplying ""rec_id"" by 100 and then adding in the ""species"" number. For example a (""rec_id"",""species"") pair of ""1,2"" was mapped to a single ""Id"" of ""102"". Please post general parser questions to the [Link]:https://www.kaggle.com/forums/t/4952/new-submission-parser and only post competition specific questions about the new parser here.",0,None,10,Fri Jun 28 2013 15:58:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4961,/competitions/mlsp-2013-birds,None
/cjturner,Use of map data from competition pdf,"There is a nice map in the file mlsp13birdchallenge_documentation.pdf I am wondering if that map is considered to be part of the competition ""provided data"". Specifically, are we allowed to use rough estimates of things like distance-from-stream, or inter-PC distances, if they are obtained from this map. And regardless of the answer, thank you very much for this wonderful dataset and competition! Charlie",1,None,1,Fri Jun 28 2013 17:37:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4966,/competitions/mlsp-2013-birds,43rd
/kazanova,Getting error when uploading file,"Hi everyone, I dont know why I am getting this : Column 'user_id' was not expected (Line 1, Column 1) Column 'business_id' was not expected (Line 1, Column 9) Required column 'RecommendationId' could not be found Did something change when I was not looking? Thanks",1,None,3,Fri Jun 28 2013 20:15:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4967,/competitions/yelp-recsys-2013,28th
/praveenbalaji,"WorldPosition, PixelPosition and WorldRotation","Can someone explain to me briefly what the terms WorldPosition, PixelPosition and WorldRotation are with respect to the camera, subject and image?",0,None,1,Fri Jun 28 2013 20:26:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4968,/competitions/multi-modal-gesture-recognition,None
/jennychen0,Evaluation program,Could you release the evaluation program? Thanks.,0,None,1,Sat Jun 29 2013 11:14:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4969,/competitions/kddcup2012-track1,None
/nipunalahakoon,i am  new to kaggle and looking for a team,"hi, i am new to the field . you can call me newbie. but i have taken machine learning class from prof. andrew ng and i can programming via C,C++ so if anyone like to take me to their team i will be very happy thanks",2,None,11,Sat Jun 29 2013 18:09:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4970,None,None
/leustagos,Data Leakage,"Hi guys, I wanted to know which data leakages you guys think you found in this dataset. I will start listing 2 of them: * Number of reapeated author-paper entries in Train.csv, Valid.csv and Test.csv - A Leak for sure * Number of repeated author-paper entries in PaperAuthor.csv - Not sure if this is a real leak, may be due to different MS sources",1,bronze,3,Sat Jun 29 2013 21:19:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4971,/competitions/kdd-cup-2013-author-paper-identification-challenge,2nd
/rkirana,where to enter our code?,Is there a place to upload model code for this competition?,0,None,1,Sun Jun 30 2013 15:03:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4972,/competitions/yelp-recruiting,51st
/xbaro100272,Matlab Sample Code,"Dear participants, we have published a basic Matlab sample code, that provides an example of methods that can be used to recognize the gestures of this challenge and generate the final file to be uploaded to the Kaggle platform. We hope it wil be useful to you. The code is available at Data section of the challenge and also provided as part of this message. Xavier [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/8359/sample_code_mmrgc.zip",1,None,6,Sun Jun 30 2013 17:55:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4974,/competitions/multi-modal-gesture-recognition,None
/mrlovell,Kaggle Projects using PyDev/Eclipse,How do you upload data from different Kaggle.com projects into PyDev/Eclipse and begin writing code for analysis and prediction?,0,None,1,Mon Jul 01 2013 02:12:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4979,None,None
/davminer,Domains of rows in dataset,"I'd like to ask about the domain each row comes from. I think it is essential to group rows from the same domain together, particularly it will help to better deal with categorical data. Any thoughts?",0,None,6,Mon Jul 01 2013 14:30:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4984,/competitions/cause-effect-pairs,65th
/jay670790,Dealines and travel award,"Hi, I've noticed the deadlines have been delayed (excellent idea imho!). Does that mean the travel awards will be for IJCNN 2014? Regards",0,None,1,Mon Jul 01 2013 14:47:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4985,/competitions/cause-effect-pairs,52nd
/broham,Help implementing feature selection?,"I've been trying to implement feature selection in the starter code that Paul Duan posted a while back for the Amazon competition and I'm a little stuck. I figured I would reach out and see if anyone had any suggestions... You can see my code here: https://github.com/Broham/kaggle-amazon/blob/master/classifier.py So far I have only modified lines 86-89. The code I am using to do the feature selection is: X_cv = LinearSVC(C=.9, penalty=""l1"", dual=False).fit_transform(X_cv,y_cv) I was going off some example code that [Link]:http://scikit-learn.org/stable/modules/feature_selection.html The issue that I am running into is that after feature selection I have 855 features, but the training set still has 16600 features (the number of features before feature selection). This causes the code to error out with: ValueError: X has 855 features per sample; expecting 16600 When I call predict_probab. Does anyone have any suggestions to synch up the number of features after feature selection? Thanks for any help!",0,None,2,Mon Jul 01 2013 18:47:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4987,/competitions/amazon-employee-access-challenge,419th
/papushado,empty histogram features for test set,"hi, in histogram_of_segments.txt, all rows corresponding to test samples have all 0 values. how then can we create predictions for these samples? am i missing something? thanks, nir",0,None,6,Mon Jul 01 2013 19:08:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4988,/competitions/mlsp-2013-birds,None
/iguyon,Final data release and deadline extension,"We released the final version of the training, validation and test set and extended the challenge deadline to August 19, 2013. The new data include both artificial and real data, formatted in a way that avoids the bias previously noted by a participant. The data are available from the download page. The new solution file for the vaiidation set was uploaded to the Kaggle system. Please resubmit a new entry with predictions on the new validation set to see your results updated. We apologize for the inconvenience that these changes are causing and thank you for your participation. Good luck to all. You are contributing to advance a very important scientific problem and hopefully several of you will make a breakthrough! === PS: We remind you that you may train your system on any other data you want, you are not limited to CEfinal_train data. In particular, we made available SUP1data, SUP2data and SUP3 data.",0,None,6,Tue Jul 02 2013 00:04:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4990,/competitions/cause-effect-pairs,None
/ymohit,Audio  Features ,Hi everybody I am not able to figure out whats there in skeletal ... and does it contain the information related to Audio also ?,0,None,3,Tue Jul 02 2013 10:47:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4994,/competitions/multi-modal-gesture-recognition,None
/dexter5,Train-Test Data Samples?,"I noticed that the train.csv contains 32,769 samples while the test.csv contains 58,921 samples. The number of samples in the test is approx. a factor of 2 than that of the training. Hence, I want to confirm if the number of samples I have in my data is correct. This may seem trivial but I wouldn't want to have an error in such a simple task. Unfortunately, the data section does not mention any details on this front.",0,None,1,Tue Jul 02 2013 14:00:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4995,/competitions/amazon-employee-access-challenge,None
/davidg,Matlab dataViewer.m,"The get data page refers to a GUI data viewer ... In the scripts section, we provide a Matlab GUI application that allows to view and listen the data and to export it to make easy to work. I downloaded Dataviewer from Chalearn Multimodal Gesture Recognition [Link]:http://sunai.uoc.edu/chalearn/ Is this the correct GUI??? If it is, it calls gui_mainfcn This is only available in Matlab and NOT octave. Does this mean that I finally need to buy Matlab, or is there alternate, less financially painful, option to view the data? Thanks",0,None,3,Tue Jul 02 2013 15:06:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/4996,/competitions/multi-modal-gesture-recognition,None
/spimenov,Are TimeTicks correct in the CSV-files?,"Can you validate, please, that the TimeTicks are correct in the CSV-format? It looks like they were rounded: H1_CSV\Tagged_Training_04_13_1334300401\TimeTicks1.csv: 1.3343e+09 1.3343e+09 1.3343e+09 1.3343e+09 1.3343e+09 1.3343e+09 . . .",1,None,6,Wed Jul 03 2013 00:43:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5001,/competitions/belkin-energy-disaggregation-competition,None
/jhoward,Wonderful feedback for the Kaggle community,"I just wanted to share this wonderful feedback I read on the Coursera Introduction To Data Science forum from a SAS engineer: ""This course and Kaggle gave my career a new life. I am a business intell architect on my 10 year sabbatical, retooling (and hiking) The forums of Kaggle is as if i walked into the cafe of the worlds most brilliant BI/data scientist firm and everyone wanted to talk. (u can quote this : ) i am going back to SAS a better engineer then when i left. Yes, there is a competitive nature but never once was a well structured question not answered."" Thanks to all of you for contributing to a community that can have such a great impact on people's lives.",4,bronze,1,Wed Jul 03 2013 01:39:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5002,None,None
/leustagos,Advice to newbies,"I usually get many e-mail of people wanting advice on how to get started, so to make it more public, i will write a forum thread. So, anyone reading this, please feel free to add your own comments and correct me when the need arises. 1. To be good at ML, one needs to love studying and learning new things. Techiniques are always evolving, and there's is a constant need to catch up and expand our horizons. 2. Refrain yourself from trying to team up just to get started. Teaming up with someone with much higher knowledge and/or experience can be frustrating. Some things takes time to be understood. Teaming up too soon can lead to frustration if you can't really undestand whats going on. It can also stall your progress, as you may feel like there's nothing to contribute. Of course, a team of people with complimentary skills, that can understand each other are really a way to go. But try climbing that stair slowly. :) 3. Read the forums. Kaggle people aren't cheap on advice. Sometimes they can even throw at the forum their very best method to sucite discussion and learn more. Of course we can't expect teams at the very to do so BEFORE the competition ends. But they usually do it AFTER the competition ends, so its a big oportunity to learn. 4. There is always a similar competition in the past. Search for it. Look at the winners posts. You problably can't understand it all (i can't), but for sure at least one method will match your skills and you will be able to grab it. But most important than learning a new techinique, is learning why it works. A good machine learner is above all a match maker. Matching the known tecnique to the right problem. 5. Don't be ashamed to ask. People here are usually generous in distibuting knowledge. 6. Join a getting started compeition or a competetion with an easy tutorial to learn. 7. Don't give up. 8. And most importantly: Have Fun!",282,bronze,70,Wed Jul 03 2013 05:36:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5003,None,None
/archertch,Team Algorithm's Code,"Dear all, We have made the code publicly available at https://github.com/kdd-cup-2013-ntu/track1 We are preparing a paper to describe details of the procedure. Any comment is very welcome. Thanks. Team Algorithm from National Taiwan University",0,None,2,Wed Jul 03 2013 07:48:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5004,/competitions/kdd-cup-2013-author-paper-identification-challenge,1st
/mehreen,The new data and code,"Dear Isabelle Is it possible to have the Matlab file for the newly released 'final' set. Also, I am not sure how the 'standardize' object in the new code works. So if i have two arrays x and y, both nx1, then I could say: model=standardize; [resu, model]=train(model, data([x y])) I get an error on the above. I think standardize itself expects a CEpair but the train method is requiring a data object. Is it because of some conflict with the old spider 'data' object? Thanks & regards Mehreen",0,None,1,Wed Jul 03 2013 12:47:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5006,/competitions/cause-effect-pairs,143rd
/manjushcool,Followed excel tutorial but getting errors on submission,"I am trying to make my first submission but I am getting many errors. I did the same thing as told in the excel tutorial but I am unable to get any public score and it's showing errors like. Column 'Pclass' was not expected (Line 1, Column 22) Column 'Name' was not expected (Line 1, Column 29) Column 'Sex' was not expected (Line 1, Column 34) Column 'Age' was not expected (Line 1, Column 38) Column 'SibSp' was not expected (Line 1, Column 42) Column 'Parch' was not expected (Line 1, Column 48) Column 'Ticket' was not expected (Line 1, Column 54) Column 'Fare' was not expected (Line 1, Column 61) Column 'Cabin' was not expected (Line 1, Column 66) Column 'Embarked' was not expected (Line 1, Column 72) Help me with getting started.",0,None,1,Wed Jul 03 2013 16:12:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5008,/competitions/titanic,None
/wouterd1,Teaming up,"Hi all, I am currently around place 122 in the competition, but hit a ceiling. I was hence wondering whether there are other folks who are in a similar position who would be interested to team up? I am programming in R. Could be fun and interesting; Let me know, Wouter",0,None,6,Thu Jul 04 2013 12:12:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5013,/competitions/titanic,None
/gerharte,Has anyone managed to use the files in Octave?,"I've tried loading the .mat files into octave (on windows), but I'm getting a memory error - but there's plenty of RAM. It seems that the trouble is with Octave being 32 bit which limits the table size. Has anyone done this? Are there any 64 bit versions of octave for windows? Or will I just have to use something else? Thanks",0,None,3,Thu Jul 04 2013 13:49:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5014,/competitions/belkin-energy-disaggregation-competition,None
/lihao62863,the meaning of these numbers,"Now the most difficult thing I have met is that I can not understand the meaning of these numbers, so that I don not know how to preproccess the data and continue the task. I think every task's data must contains it's meaning, it is not the number.we are not playing the number game,it must has the background.So can someone please explain the problem,thank you! [Link]:",0,None,,Thu Jul 04 2013 15:19:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5015,/competitions/amazon-employee-access-challenge,1425th
/rafadaguiar,High Memory Usage,"Hi, anyone experiencing high memory usage during the execution of the code suggested in the [Link]:https://gist.github.com/jpetterson/776aba5d190d0fe84fdd? Here these last lines are eating all my free memory(2gb) and crashing my application. submission <- merge(example.submission, submission, all.x=T, sort=F) submission <- submission[, sub.col.names] write.csv(submission, file=""submission_search.csv"", quote=F, row.names=F) I wonder if something is wrong with the code sample.",0,None,8,Fri Jul 05 2013 03:36:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5018,/competitions/facial-keypoints-detection,None
/byang1,Winners' paper,"Hi, will we see a paper from POWERDOT on their winning algorithms ?",0,None,1,Fri Jul 05 2013 08:16:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5021,/competitions/hhp,2nd
/wouterd1,Emailing others users / tracking new competitions,"Hi all, Apologies for potentially very basic questions - but a) is there any way to email / connect wih other Kaggle Users? THe ""email user"" button doesnt work for me, get a message that i don't have enough points. Is there another work-around way? b) is there a way to be notified of new competitions when they start / which ones are scheduled to start? or is checking the website the only way? Many thanks in advance, apologies if newbie questions; Wouter",0,None,1,Fri Jul 05 2013 12:25:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5023,/competitions/titanic,None
/q3danalyticsstrategy,Multi-functional analytical optimisations,"for example optimisation of performance/output across a value chain involving order processing, inventory management, delivery performance and marketing loyalty programs to encourage repeat orders. Anybody working in this type of environment?",1,None,1,Sat Jul 06 2013 05:43:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5025,None,None
/jugeshsundram,All Appliances Off Benchmark,"Hi , I am new here. What exactly is the ""All Appliances Off Benchmark"" that I see in the leaderboard? Also , a couple of teams have attained that score. Does it mean they have met with the minimum requirements to win the competition? Can the score be significantly improved?",0,None,2,Sat Jul 06 2013 20:02:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5027,/competitions/belkin-energy-disaggregation-competition,46th
/har777,Submission Problem,"I cant submit my file. It says Column 'ImageId Label' was not expected (Line 1, Column 1) Required column 'ImageId' could not be found Required column 'Label' could not be found But I've included it in my file. Can someone please tell me what's wrong ? File attached. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/8432/submission2.csv",6,None,8,Sat Jul 06 2013 22:01:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5028,/competitions/digit-recognizer,None
/agrin88,SubmissionFileFormat.csv,"In ""Getting started"" and ""Data"" pages I'm reffered to SubmissionFileFormat.csv. Moreover, downloaded sample code needs that file for output. But I can't see a link to this file at the ""Data"" page. What's going on?",1,None,2,Sun Jul 07 2013 02:14:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5029,/competitions/facial-keypoints-detection,None
/greg29,"Can we examine our trees? (RandomForestClassifier, Python 2.7)","Does anyone know if can see each tree that RandomForestClassifier produced, what feature(s) it used, it's outcome, etc.? Tree diagrams would be nice, too. This might (will?) help to understand the effects of adjusting parameters, etc. Thank you, Greg Approximately",0,None,2,Sun Jul 07 2013 17:53:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5032,/competitions/titanic,None
/zachmayer,Submission Errors,"If I submit the file ""sampleSubmission.csv"" I get the following error ""Column 'user_id' was not expected (Line 1, Column 1)"" [Link]:http://www.kaggle.com/c/yelp-recsys-2013/submissions Column 'user_id' was not expected (Line 1, Column 1) Column 'business_id' was not expected (Line 1, Column 9) Required column 'RecommendationId' could not be found Could you please provide an updated sample submission? Thank you.",0,None,1,Sun Jul 07 2013 23:37:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5033,/competitions/yelp-recsys-2013,None
/eljefe,Time Zones,In what time zones were these recordings made? Thanks!,0,None,1,Mon Jul 08 2013 18:43:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5036,/competitions/belkin-energy-disaggregation-competition,51st
/reemaverma,Technique for our Own dataset/problem,hi I am new to kaggle. Can we post discussions about right technique to be used for any dataset that we have (not as a competition)? One of the biggest problem is always what to apply when? Collective knowledge of data scientists here can be of great help. Thanks,0,None,1,Mon Jul 08 2013 19:45:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5038,None,None
/davidthaler,pending submission,"I submitted yesterday, and got a score. Today, The submission from yesterday is listed in 'My submissions' as pending and is unscored. What should I do? Should I resubmit it?",0,None,1,Mon Jul 08 2013 21:06:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5041,/competitions/amazon-employee-access-challenge,73rd
/rossboucher,Neighborhood data,"It seems like the neighborhood property is empty throughout the training data. I assume this is intentional, though the data seems like it could be pretty useful. In other threads it seems like the prohibition on outside data is lifted on a case by case basis. So, would a reverse geocoding database, like the geonames neighborhood database[1] be off limits? [1] http://www.geonames.org/export/web-services.html#neighbourhood",1,bronze,1,Mon Jul 08 2013 21:12:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5042,/competitions/yelp-recsys-2013,53rd
/hikerclimb,Classification Problem,"Hi Just so I am clear, this is a multi class classification problem correct? So we are trying to predict whether output will be 0 or 1 in the predicted column for given time? Thanks!",0,None,1,Tue Jul 09 2013 04:59:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5047,/competitions/belkin-energy-disaggregation-competition,109th
/rahulmohan30,Combining all the Features,"Hi, In the processed data given, there are three main feature sets - L1, L2, HF. Each one of these feature sets are measured at different frequencies and therefore have different matrix dimensions. Appreciate if someone could give me some pointers on how to combine all of these different frequency features (L1,L2,HF) in MATLAB. Thanks. -Rahul",0,None,2,Tue Jul 09 2013 07:30:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5048,/competitions/belkin-energy-disaggregation-competition,58th
/herimanitra,Downloading 1gb,Is it possible to have a torrent for the train dataset? or a way that can allows me to download the file without interruption? The connection is really erratic in my area....,0,None,3,Tue Jul 09 2013 17:19:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5050,/competitions/ams-2014-solar-energy-prediction-contest,5th
/julesvanligtenberg,Competition Rules,"In the competition rules I found: Limitations of Liability By participating in the Competition, each Participant agrees that: (1) ... (2) any claims, judgments and awards shall be limited to actual out-of-pocket costs incurred, including costs associated with entering the Competition, but in no event attorney's fees;... I'm neither a native speaker nor a lawyer but doesn't this mean that one can never earn money with this competition?",0,None,Limitations of Liability,Wed Jul 10 2013 16:05:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5062,/competitions/belkin-energy-disaggregation-competition,None
/tourist1,Repeated regression?,"Hello all, I'm trying to model the relationship between a reposne y and several factors, but the thing is out of all my data y is about 80% of the time zero and 20% > 0 or < 0 split about evenly (the values are continuous). One model for this data I don't think will work. Should you split such data and analyze it only the y != 0 on x? Would it be better to try and branch on weather I think y == 0 and y!=0 and use two models? Thanks!",0,None,1,Wed Jul 10 2013 21:12:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5066,None,None
/vishalbhargava,Save my model after using SKlearn to build one.,Guys I am currently trying to use this library for making predictions on relatively bigger data. It takes a lot of time for my code to execute. Apart from this I would like to build a model once and then predict multiple times. I am using basic SVM and random forests method. Any help regarding this would be really appreciated. Vishal,0,None,1,Thu Jul 11 2013 07:50:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5069,/competitions/data-science-london-scikit-learn,None
/whomovedtheflight,multinomial logistic regression,"Has anyone tried out multinomial logistic regression, one for each of the resources? Do we have any benchmarks based on that?",0,None,1,Thu Jul 11 2013 10:03:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5070,/competitions/amazon-employee-access-challenge,929th
/guerrero0, How can machine learning be applied to software security and software testing?,"More specifically, is it possible to use machine learning techniques to discover and diagnose software bugs or vulnerabilities, perform program verification and automated test generation? If so, how? Any pointers to the current research going on that seeks to use machine learning for static and dynamic analysis of programs, particularly for (modern) mixed concrete and symbolic execution of programs is appreciated.",3,None,4,Thu Jul 11 2013 12:39:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5071,None,None
/ajschumacher,Fast access for netCDF4?,"Hi! I haven't used netCDF4 before. I'm doing it like this in Python: import netCDF4 data = netCDF4.Dataset('apcp_sfc_latlon_subset_19940101_20071231.nc') data.variables['Total_precipitation'][0][0][0][0][0] That will give me one of the values, which is great. But it's super slow to access things this way. Untenably slow. Like nearly half a second. Ridiculous. Is there a good way to get quicker random access to these guys? Is there something simple that will pull it all into memory for me or something like that? Are people loading everything into a database to achieve this purpose? Other thoughts?",0,None,4,Fri Jul 12 2013 01:24:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5073,/competitions/ams-2014-solar-energy-prediction-contest,140th
/briantrewlee,getting the feature importance from the pipeline - newbie,"I never used Python before this competition. I started with the Basic Python Benchmark code and added the following to the second pipeline step(classify): compute_importances=True, How to I access the results? After classifier.fit(train, target.Target), I tried: importances = classifier.get_params(classify__feature_importances_) That gives the error: NameError: global name 'classify__feature_importances_' is not defined. Any help would be greatly appreciated. Brian",0,None,2,Fri Jul 12 2013 07:37:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5076,/competitions/cause-effect-pairs,65th
/earthminator,Random_Forest Result,"Hi all, I am a new one for randomforest, I Just want to ask if each time of running randomforest with same parameters,like same number of trees and same number of feature for each tree, will have different result. I mean, because every time the features and the subdata decided by Bootstrap is random, so is the result also random??? if so, how to solve this problem. each time of running with same parameters will have different result.",0,None,1,Fri Jul 12 2013 11:41:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5078,None,None
/sanjayu,Clarification on the Problem Statement.,"Please clarify. 1. In the Problem description you have mentioned - We recommend the reader refer to [2,3,9] for a detailed overview of machine learning features for energy disaggregation. Assume it refers to topics and their corresponding numbers in the reference section. Thanks, Sanjay",0,None,1,Fri Jul 12 2013 16:39:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5079,/competitions/belkin-energy-disaggregation-competition,None
/abhishek,prize?,$10k prize money? when did this happen?,0,None,7,Fri Jul 12 2013 18:24:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5080,/competitions/digit-recognizer,None
/rohitu,Phase 1/Phase 2 data,Do these phases refer to the 2 phases of data collection mentioned in the ElectriSense Paper?,1,bronze,1,Sat Jul 13 2013 07:34:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5085,/competitions/belkin-energy-disaggregation-competition,None
/abhishek,SMOTE,"has anyone tried SMOTE (Synthetic minority oversampling technique) ? by using SMOTE, I get a cross validation score of 0.97 but it seems that the data overfits now. I would like to know if someone else has had any experience with this algorithm.. The paper can be found here: http://arxiv.org/pdf/1106.1813v1.pdf",0,None,8,Sat Jul 13 2013 10:23:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5086,/competitions/amazon-employee-access-challenge,16th
/tarundhingra,Error in submission,I am facing error with submission. Below are first few lines of my submission (Scores modified). Am I missing something ? id Action 1 0.8 2 0.7 3 1 4 0.8 5 1,0,None,6,Sat Jul 13 2013 19:50:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5089,/competitions/amazon-employee-access-challenge,1079th
/joycenv,Updated Heritage Leaderboard,"Every sport has rules, and so do competitions. In addition to any competition-specific rules, every Kaggle competition requires participants to submit from a single user account. Using puppet accounts (or multiple accounts) is against the spirit of Kaggle and unfair to those who do comply with the rules. While we actively monitor competition progress, this kind of fraud detection is largely a reactive battle. But we are committed to ensuring that, at the very least, those who are 'in the money' or otherwise able to collect a prize have competed honestly. As part of the preparation for Heritage Health Prize 2 we have updated the HHP1 leaderboard. While many details, including who will be invited and when the competition will launch, remain to be worked out, we can confirm that the invitations to HHP2 will be based primarily on Heritage 1 performance.",2,None,2,Sun Jul 14 2013 05:51:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5091,/competitions/hhp,None
/yogurt,Team?,Anybody want to team up with me?,0,None,2,Sun Jul 14 2013 19:33:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5092,/competitions/belkin-energy-disaggregation-competition,98th
/rkirana,Benchmark.,"The ""stars"" field in review has to be predicted correct? What is the benchmark based on? a) Is is the mean user ""stars"" given to a review in the review dataset OR b) Is is the mean ""average stars"" in the user dataset I tried a) and got 1.37 much below the worst benchmark also also I do not get 3.6745 which is the value in the sample submission. How is it achieved?",0,None,3,Sun Jul 14 2013 20:51:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5094,/competitions/yelp-recsys-2013,26th
/wendy9,Export data with dataViewer,"Hi, I am relatively new to Matlab (but not completely ignorant). Would anyone be kindly show a demo of how exactly the data is exported through dataViewer? For example, what function to use, what is the input of the function, how to interpret the output format. Thank you very much!",0,None,2,Sun Jul 14 2013 20:53:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5095,/competitions/multi-modal-gesture-recognition,30th
/zygmunt,phraug - a set of Python scripts for pre-processing large files,"With phraug you can convert a file from one format to another: csv to libsvm csv to Vowpal Wabbit libsvm to csv libsvm to Vowpal Wabbit tsv to csv And perform some other operations: count lines in a file sample lines from a file split a file into two randomly split a file into a number of similiarly sized chunks save a continuous subset of lines from a file (for example, first 100) https://github.com/zygmuntz/phraug If you find it useful, please click the thank link.",14,bronze,4,Sun Jul 14 2013 23:06:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5096,None,None
/jwkvam,HF Data,"In [4], the HF signal is sampled at 1 MHz and FFTs are computed to get 2048 frequency data points from DC to 500 kHz. In the LoaderScripts, it plots now 4096 points from DC to 1 MHz, I guess the sampling rate was upped to 2 MHz to generate this data? Could someone describe the processing that transforms the raw FFT output to unsigned 8 bit integers?",0,None,2,Mon Jul 15 2013 05:33:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5098,/competitions/belkin-energy-disaggregation-competition,None
/hikerclimb,Data Description,"Hi, So I was looking through the data files and had a few questions. Sorry don't come from a EE background. :P Buffer.HF What do 4096 rows represent? What are FFT vectors? Thanks!",0,None,2,Mon Jul 15 2013 05:44:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5099,/competitions/belkin-energy-disaggregation-competition,109th
/gregorymatchado,Extra Test Set for H4 ?,"There is a test data set, in the H4 folder, named ""Testing_09_19_1348038001.mat"" and so this contains test data for time stamps which are greater than (or more recent than) 1348038001. But in the sample submission file, which contains the time stamps for which the test predictions need to be made, for H4 the greatest timestamp (which incidentally is the most recent timestamp) is 1348007940 (which is lesser/earlier than 1348038001) Is this on purpose...??? If so then why do we need the ""Testing_09_19_1348038001.mat"" file...??? Thanks in advance..",1,bronze,3,Mon Jul 15 2013 10:53:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5100,/competitions/belkin-energy-disaggregation-competition,78th
/svellal,Publish Paper/Abstract on the methodology followed?,"Hi all, If I write a paper on the methodology followed for this competition, where can i submit? I am very new to the paper publishing process :-) Regards, useless_fellow.",0,None,1,Mon Jul 15 2013 11:40:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5101,/competitions/kdd-cup-2013-author-disambiguation,53rd
/jason663,C# CSV Parser,This library can parse just about anything in CSV files. It is cheap too: http://www.kellermansoftware.com/p-50-csv-reports.aspx,-1,None,3,Mon Jul 15 2013 16:24:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5106,None,None
/joseleiva,Some questions about the physical meaning of data,"I hope someone can answer my questions, specially Mr. Gupta. If so, thanks a lot in advance! After carefully reading reference [4], I still don't understand which signal we have obtained the FFT from. Is it a voltage? In that case, the FFT would consist of complex values, but we find real values in Buffer.HF. So, is Buffer.HF the modulus of the FFT of the voltage signal? In that case, only if we take its square value we can interpret it in terms of spectral power density, so that the devices interact with the background in an additive way (the power of the sum is equal to the sum of the powers), is that right? I've got the feeling that this problem is more appropriately addressed as a classical signal detection problem, rather than a machine learning problem. The reason why I believe that is that the competition is described as a multi-label classification problem, but no multi-label examples are given in the training set.",0,None,6,Tue Jul 16 2013 11:27:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5112,/competitions/belkin-energy-disaggregation-competition,89th
/jingweixu,Ask about the paper submission.,"Hi, I am a PhD candidate in Nanjing University. I have some questions about paper submission in this workshop. I heard that ""Accepted speakers will be invited to submit a short paper that describes their approach and results. The short papers will be distributed at the workshop and made available online afterwards."" I just want to make it clearly that the paper will available online means it will be published formally or informally? In other words, will it be received by ACM Digital Library or something else?",0,None,6,Tue Jul 16 2013 12:33:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5113,/competitions/yelp-recsys-2013,11th
/adjgiulio,delta,"I’m new to Kaggle, this is my first competition. My best model had given me a 0.9052 score with <30 minutes run time (mostly due to simulation used for feature selection). My questions for you is: at this stage of the competition, what is making up the delta between a top 200 model and a top 10 model? I’d imagine it must be a combination of experience, the science part of the equation, the “art” part of the equation, as well as raw computing power (I’d assume that a 32GB RAM machine will open up a lot more opportunities than a 4GB…). Of these components (or any other I’m overlooking) which ones do you think is driving most of that delta at this stage of this particular competition? Thanks!",0,None,1,Tue Jul 16 2013 17:54:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5115,/competitions/amazon-employee-access-challenge,42nd
/donovan1,"Cannot seem to ""Connect"" with Kaggle Connect representative - anyone having this issue?","Has anyone had a challenge in getting connected with someone who can answer questions about Kaggle Connect? The CIO at my company is VERY interested in leveraging Kaggle's services and we'd like to learn more about how and where they may be applicable for our business. Our company generates $1.2 Billion in annual revenue so the opportunity for Kaggle could be significant. We feel we could benefit greatly from use of Kaggle's services, however, it's been a challenge as we cannot seem to get any sort of response to our multiple inquiries over the past few weeks. Just wondering if anyone else is having this issue or if you have any recommendations on how to get a response (?). Thanks, Donovan",0,None,2,Tue Jul 16 2013 18:51:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5117,None,None
/wallacecampbell,Downloading data via wget,"Hi all, I wanted to download the data to a remote server using wget. The download didn't work because you first have to accept the competition rules before downloading. Is there any way around this issue?",6,None,17,Tue Jul 16 2013 20:19:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5118,/competitions/belkin-energy-disaggregation-competition,None
/gallamine,harmonic features vs. FFT,"The harmonic features for Phase 1 and 2 are listed as the fundamental and 5 harmonics for the I and V measurements for the two phases of the circuit. Am I to take that to mean it's a measurement of the signal at 60, 120, 180, 240, 300, 360 Hz? I read elsewhere that the sampling rate for the FFT was 2 MHz. That gives bin spacing of ~244Hz. That basically means the harmonic features are only affecting the 1st 2 (or so) bins of the FFT?",0,None,1,Tue Jul 16 2013 23:14:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5121,/competitions/belkin-energy-disaggregation-competition,66th
/rahulmohan30,Finding feature vectors for timestamps in sample submission,"Hi, I did some simple tests and it looks like the timestamps given in the sample submission file, for H1, does not match with any of the timestamps in any of the testing files for H1. I assume this is done on purpose. Appreciate if anyone can give me some pointers on how to go about creating feature vectors for the submission timestamps given they dont match with anything. Am I missing something? Are others seeing the same thing? Thanks Rahul",0,None,1,Wed Jul 17 2013 07:21:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5125,/competitions/belkin-energy-disaggregation-competition,58th
/saurabhsingh2,Employee retention analytics?,"What variables comprise the data set? How would you decide which variable to select/use for analysis or not? Any project/case study which someone can share, will be really useful.",0,None,1,Wed Jul 17 2013 10:30:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5126,None,None
/adrien4,From Matlab to Octave,"Hi ! I try to implement a SVM with Octave, using the svmlib we can download here : http://www.csie.ntu.edu.tw/~cjlin/libsvm/I do a C-SVM with a radial basis function.My program work but, of course, Ihave to find the best parameter C and gamma.My problem is : I already have a Matlab program who uses svm-train (http://www.mathworks.fr/fr/help/stats/svmtrain.html). So the programs are differents, and you don't need to put the parameters in the Matlab program to make it works.Matlab gives better results, and I want to know how to retrieve the final parameters in oder to use them with Ocatve.Thanks in advanceAdrien",0,None,1,Wed Jul 17 2013 11:20:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5127,None,None
/cacol89,Scikit-learn models compatible with sparse matrix,"Hello guys, I'd like to open this thread for sharing the models we have found in scikit-learn that are compatible with sparse matrices. These are the ones I have spotted so far (no particular order): linear_model.LogisticRegression() svm.SVR() svm.NuSVR() linear_model.LinearRegression() neighbors.KNeighborsRegressor() naive_bayes.MultinomialNB() naive_bayes.BernoulliNB() linear_model.PassiveAggressiveRegressor() linear_model.PassiveAggressiveClassifier() linear_model.Perceptron() linear_model.Ridge() linear_model.Lasso() linear_model.ElasticNet()",6,bronze,5,Wed Jul 17 2013 12:17:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5128,/competitions/amazon-employee-access-challenge,75th
/gbonte,Language for final model submission,Could you please confirm that the final model can be submitted as a set of R files ? Thanks,0,None,1,Wed Jul 17 2013 12:44:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5129,/competitions/cause-effect-pairs,8th
/egorlakomkin,Will test files be released?,"Hello, I am willing to enhance my model and try some approaches and i am wondering if there is a way to check the score/get test files? Thank you.",1,None,2,Wed Jul 17 2013 13:36:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5130,/competitions/the-icml-2013-bird-challenge,27th
/johncandido,Big Data in Cancer Research,"http://online.wsj.com/article/SB10001424127887323466204578384732911187000.html?KEYWORDS=cancerlinQ#articleTabs%3Dvideo This seems ripe for a competition (classification - success/failure of treatment based on a certain threshold or regression - years lived beyond treatment). Would hate to see this compiled and the end result being generic queries by doctors. There are obviously a ton of interactions that could be discovered and effectively modeled to create more accurate posterior probability estimates in specific cancer treatments. Also, I'm personally interested since my aunt (48 years old) was just recently diagnosed with an advanced stage cancer. Was wondering if anyone knows of any other ""data science""/""big data"" that is taking place in the oncology world. Would love to be able to use my ability in the field to help her in any way possible. Thanks for any suggestions.",3,bronze,3,Wed Jul 17 2013 18:07:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5131,None,None
/senjutib,Call for Papers - from Top-10 Winning Teams (deadline extended to 30th July),"Hello All, We are pleased to invite papers from top-10 winning teams (and not just top-3 or 4), since we believe that it would be exciting to know the details of their respective approach. At the same time, we are in the process of finalizing the schedule of the workshop where we intend to invite presentations and participations (may be a poster slam) from a larger audience (not just limited to the winning team). The manuscript preparation and formatting instruction remains similar to the one that is posted. The deadline is extended to no later than July 30, 2013. We look forward to reading your submission. Thanks, KDDCup 2013 Chairs and Organizers.",0,None,1,Wed Jul 17 2013 18:56:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5133,/competitions/kdd-cup-2013-author-disambiguation,None
/ferg96,Random Forest in R,"I have started to explore the random forest solution to this using the variables as numeric values instead of factors. But I have hit a wall and can not find the bug. This is the code I am using to get the initial set of results. forest.model = randomForest(ACTION ~.,data=training.data,ntree=50) forest.prediction = predict(forest.model,newx=test.data[-1],type=""response"",predict.all=TRUE) The training.data dataframe is 32,769 obs and the test.data dataframe is 58,921. The problem comes when I try and use the forest.model to predict new values from test.data. The forest.prediction dataframe only has 32k obs and not 58k. Does anyone know what is going on here?",0,None,2,Wed Jul 17 2013 23:31:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5136,/competitions/amazon-employee-access-challenge,521st
/utdiscant,Longtitudes for model grid,"When looking in the station_info.csv, the longtitudes are in the range -102.8782 to -94.6450, which fits nicely with the actual GPS-coordinates of Oklahoma. But when I load in the longtitudes from some of the training data sets, I get longtitudes in the range 254 to 269. Is there some way to map these coordinates to actual GPS-longtitudes I am missing?",0,None,4,Thu Jul 18 2013 11:21:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5137,/competitions/ams-2014-solar-energy-prediction-contest,None
/kevinh7777,train4 target answer is incorrect?,"The target table answer to the train4 dataset is: A caused B. The correct answer is that, from the data, we cannot tell that A caused B or B caused A. Therefore the target table target answer should be corrected to 0. Am I correct? Note: I view the 6 to 20 outliers as outliers, especially since they are a small proportion of the total (<= 20/802 pairs). Even _with_ these outliers, there would either be: {a relation between A and B without causality, or A and B are consequences of a common cause, or A and B are independent}. Comments please!",0,None,4,Thu Jul 18 2013 14:26:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5138,/competitions/cause-effect-pairs,None
/msegala,predict.svm gives nonsense results ,"Hi everyone, I am currently using SVM ( the e1071 library ) to classify the data. I am able to train the model fine but when I go to predict the labels for the testing set I get nonsense results. For example, see the small code snipit below # xTrain = features from the training set # yTrain = labels from the training set # test = features from the testing set mod <- svm(xTrain, yTrain) pred_train <- predict(mod, newdata = xTrain) pred_test <- predict(mod, newdata = test) When I print pred_train, I get reasonable results (values only along the diagonal) 0 1 2 3 4 5 6 7 8 9 0 89 0 ... 1 0 76 0 .... 2 0 0 82 0 ...... 3 However, when I print pred_test I get nonsense results where it only predicts 1 class and gives 0's everywhere else 0 1 2 3 4 5 6 7 8 9 0 0 0 0 0 0 0 0... 1 89 76 45 43 48 54 98 .... 2 0 0 0 0 0 0 0... 4 0 0 0 0 0 0 0... Does anyone know why this is happening? I did some research online and it may have to do with the format of the data. Can someone please help.",0,None,1,Thu Jul 18 2013 23:41:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5144,/competitions/digit-recognizer,None
/rkeisler,people in the test set,"While I haven't done a systematic check, it appears to me that the people in the Training set are distinct from the people in the Validation set. Could one of the competition admins tell us whether the Test set will contain: a) only people from the Training set, b) only people from the validation set, c) a roughly 50/50 mix of people from both the Training and Validation sets, or d) something else? Knowing this will affect the training strategy, without taking away from the challenge of the competition. thanks, wweight",0,None,3,Fri Jul 19 2013 01:16:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5146,/competitions/multi-modal-gesture-recognition,2nd
/bensolucky,"Rules, Sharing and Team Mergers","This question is primarily for the admins, but if anyone else has an opinion or insight I'd love to hear it. I put in a team merger request last night and we're waiting to hear if it's approved. In the meantime, how strictly should we interpret the ""Privately sharing code or data outside of teams is not permitted"" rule? Can we discuss general strategy? Things such as what types of models we're using, program run times, how we blended models or what types of features we engineered? On the one hand some of this could be considered data and I want to stay well within the rules. And if the merger request is denied I'd rather not have given away anything. On the other hand it's difficult to judge whether a merger is worthwhile without having at least a vague idea of whether or not your strategies diversify.",0,None,2,Fri Jul 19 2013 04:05:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5147,/competitions/amazon-employee-access-challenge,1st
/chiraz,Request to delete my name from an INACTIVE team (to be able to compete on my own),"Hi Kaggle Admin / RecSys2013 Competition Admin, I am currently listed in a team that was formed a couple months during a brief period of enthusiasm at the beginning of the Stanford ML course :) However the team is now effectively defunct; it's been inactive all along and AFAIK there was never any communication between teammates since the initial formation of the team. I have already made my first submission for this competition a few days ago under this team's name. However, obviously since I really am working alone, I would prefer to compete under my own one-person team. I emailed the team's leader asking to remove me from the team, but I haven't heard back from him, and anyway it seems he can't do it, as per posts I read in other Kaggle forums. I have also sent a request through the Kaggle contact form a couple weeks ago, to no avail. I don't know where else to turn to, so I'm posting the problem on this forum. Please help! Thanks, Chiraz",0,None,4,Fri Jul 19 2013 11:07:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5148,/competitions/yelp-recsys-2013,102nd
/barrenwuffet,R : Convert sparse.model.matrix to SVMlight format,Has anyone ever been able to convert a sparse.model.matrix object (created using the 'Matrix' package) into a file in SVMlight format?,0,None,2,Fri Jul 19 2013 14:11:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5152,/competitions/amazon-employee-access-challenge,855th
/svallerand,TaggedInfo from CSV files,"Hi, I'm working with the CSV data. Data from H4 wasn't giving anything good. I tried with H1 data without success. Therefore, I dug a little bit to understand what I was doing wrong. The timetick in H1_CSV\CSV_OUT\Tagged_Training_10_22_1350889201 runs from 1350889167.5370412 to 1350975564.598875. But, if you look at the taggedInfo, all appliances are on/off insides the window 1350943200 to 1350948900, meaning that about 7% of the entire FFT data are of interest (5700/86397). Furthermore, if you look to the data, all appliances start to a multiple of 120. I double check and it is the same for H4 data. We learn in another post that those taggedInfo was writing down by human. This is clearly impossible to have this kind of cadence for a human. Consequently, my conclusion is that the taggedInfo aren't valid. Is it possible to get valid data in CSV format?",0,None,3,Fri Jul 19 2013 19:18:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5156,/competitions/belkin-energy-disaggregation-competition,None
/xbaro100272,Some clarifications,"Dear all, we have been changed a little bit the time-line, in order to clarify the steps. On August the 1st, the Test data and the labeled validation data will be published. In the case of Test data, it will be encrypted, therefore, you can download it but you need the decryption key to open it. You have 10 days to download the data and to start training your methods with the full training data (Training + Validation). On August the 10th, the decryption key will be made available, so you can unzip the final evaluation data (Test) and run your methods in order to submit both, the final code and the predictions, to the Kaggle platform. The deadline is the 20th of August. Finally, the teams should send before August the 25th the fact sheets, explaining their approach and used methods. Regarding to the submitted code Submitted code can be written in any language, but it should have a main method to run the recognition process. A Readme file should be provided explaining how to run the code and providing all information about system requirements/dependencies, to facilitate the code verification. Regarding to the fact sheets We do not restrict the format of fact sheets, a PowerPoint or equivalent presentation with 2 or 3 slides should be enough. Nevertheless, they must contain the names and affiliation of the team, a general overview of the approach and the used methods. Regarding the predictions The final predictions will be submitted in the same format than the predictions you are submitting for the validation data. I hope that this information will clarify the process. Do not hesitate to ask any additional information. Xavier",1,bronze,1,Sat Jul 20 2013 17:47:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5162,/competitions/multi-modal-gesture-recognition,None
/vishalchangrani0,New here and need some help,"Hi, I just joined Kaggle. It was mentioned as part of a Big Data course I took on coursera. I really am enthusiastically looking to apply what I have learned to solve a problem on Kaggle but I what I don't understand is, 1. Do all competition expect the solution to be in a particular technology? Python or R etc? 2. Does the solution for any of the competition needs to be scalable/map-reduce ready? Or it should be just sufficient to solve the given problem. 3. Each competition is different and each requires their own format of submission, correct? 4. I am a novice in this field. How do I choose which prediction algorithms or techniques to apply - bayesian network, neural network? or that in itself is also part of the the challenge? 5. Any good place in terms of literature, examples, online material etc to start with ? thanks in advance, Vishal",0,None,2,Sun Jul 21 2013 23:29:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5164,None,None
/ark7177033,NumPy Coding Help,"I am trying to use NumPy to iterate through train.csv with the following code: for row in data: if row[0]==""1"" and row[0::,4].astype(np.float)>15 and row[10]==""S"" or ""C"": x.append(row) I get an error, however: ""too many indices"" Any suggestions? Thanks!",0,None,1,Mon Jul 22 2013 01:53:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5166,/competitions/titanic,None
/julesvanligtenberg,one or two stage competition?,"Is this a one stage competition? By this I mean that we only get one set of data to predict and whoever does that best wins the prize. (If so why does it say above the leaderboard; ""This leaderboard is calculated on approximately 50% of the test data. The final results will be based on the other 50%, so the final standings may be different""?) Or is this a two stage competition whereby we have to submit our final model (or hash of it) and than get to predict the final evaluation set? (If so when do we have to submit our final models and when is the final evaluation set released?) Or is it none of the above? Thanks in advance!",0,None,3,Mon Jul 22 2013 10:29:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5169,/competitions/belkin-energy-disaggregation-competition,None
/chact114147,How to get the original depth map?,"We want to use the original depth map to do the competition, but the depth video we get is preprocessed, How to rebuild original depth map from the depth video?",0,None,2,Mon Jul 22 2013 16:43:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5171,/competitions/multi-modal-gesture-recognition,None
/arsenic,Which ones are Beginner level ?,Hello everyone I'm new to this site and to ML in general. I wanted to start by solving a couple of absolutely basic novice-level Kaggle competitions (Active and Completed ones) just to get a feel of it. However I'm having trouble figuring out which competitions are meant for newbies. How do I filter them? Please can you point out a few? Thanks in advance,7,None,7,Mon Jul 22 2013 20:10:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5172,None,None
/abln76255,MultiClass Stratified K-Fold CV,"Hi everyone, not sure if any of you ran into the same problem, but I couldn't find any software out there that generates stratified Kfold validation sets for multiclass classification problems. So I wrote one. It's a very rough script in python, but it should get the job done. I guess for the dataset you can't do more than 4-fold CV, but that should be enough for now. I'm linking the python script in case anyone has a use for it! https://www.dropbox.com/s/xyfitgw7axhzmli/KFold_multiclass.py Happy kaggling! Alex.",1,None,2,Tue Jul 23 2013 15:40:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5180,/competitions/mlsp-2013-birds,62nd
/adamdaum,Problems Predicting Business Stars,"So, to some of you guys who seem to be having good luck with your approach -- or anyone who knows more than me -- I'm wondering if you might be able to share some of your experience. I'm pretty new to machine learning, and I've been experimenting with some of the scikit-learn algorithms. I've read a ton of the documentation, but I'm still running into problems I can't solve. And I'm hoping to learn some stuff from this contest. I've found the mean of user average stars and business stars to be the best predictor of stars when they're both available. So the problem I set out to tackle with the scikit-learn library was to predict the business stars from the data in the test_business.json file. I chose features: city, state, longitude, latitude, and review count. I used the labelencoder() to turn city and state into integers, then I ran the standardscaler() on those features in the training set. I tried several different regressor models, and then focused on the rf regressor because I was getting the best results. It seemed like things were going well. I got good scores in my cross validation on the training data with 10 folds, holding about half the data out, and shuffling. The mse with the mean of user stars and predicted business stars was quite a bit lower than the mse with just the user stars. But then when I ran it on the test data, I got a lower score. So... I don't know. Perhaps it's just an issue related to the distribution of data. But I wonder if it has something to do with some other bit of ignorance. One of the things I'm struggling with how to best incorporate and merge categorical data like city and state with data like latitude and longitude, or whether that's even a good idea. It's not clear to me what the best way to assign numerical values to categorical data is, and when scaling is appropriate/inappropriate. Is it, for example, better to assign -1,1, than 0,1. And how and when should one-hot-encoding be used, or not. If anyone wants to share their experience, or direct me to readings/videos/books, I would be super grateful. I'm plenty happy to share what I know. Me likey. Adam",0,None,4,Wed Jul 24 2013 02:23:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5186,/competitions/yelp-recsys-2013,86th
/tanaytandon,.892 AUC Python code and question,"Hi guys - I'm Tanay Tandon - a high school student and ML enthusiast. I've been working on a model that incorporates Paul Duan's logistic regression starter, and extends it using a Random Forest ensemble. Here's the code for anyone that would like to check it out: [Link]:http://github.com/ttandon/amazonml I've been able to achieve a AUC of roughly .892, but have hit a roadblock. My guess is that the next step would be some sort of feature selection, but am unsure of where to start. Should I incorporate a combination method to increase dimensionality as shown by Miraslow in his earlier post, or are there some alternative approaches. My approach: 1. Logistic Regression with One-Hot Encoding 2. Random Forest with raw feature input 3. Average of two models, and return final model. Excited to learn/share! Tanay",1,bronze,1,Wed Jul 24 2013 02:45:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5187,/competitions/amazon-employee-access-challenge,506th
/msegala,What machine learning algos are people using,"I was wondering what machine learning algorithms and techniques people are implementing? I have implemented a simple technique of taking average user and business reviews which netted me a slightly better score than the User Mean Benchmark. I am planning on using collaborative filtering but would like to know if this is a good approach and if there are other techniques to consider. Also, I was going to try using the recommenderlab package in R for collaborative filtering, has anyone used this before? Is there a better package available in R?",0,None,1,Wed Jul 24 2013 03:58:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5189,/competitions/yelp-recsys-2013,None
/ial115355,Test labels after competition,Will the test labels be made available after the challenge finishes?,0,None,1,Wed Jul 24 2013 09:00:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5190,/competitions/mlsp-2013-birds,None
/julesvanligtenberg,AllTaggingInfo.csv file seems to be the same for H1 and H2,"Hi, I didn't check the other houses yet, but the AllTaggingInfo.csv file seems to be the same in H1_CSV.zip as in H2_CSV.zip. I thought there should be an AllTaggingInfo.csv file for every home?",0,None,3,Wed Jul 24 2013 12:14:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5191,/competitions/belkin-energy-disaggregation-competition,None
/brianfeldstein,Questions about quaternion data,"Hello, In the description of the quaternion data there is some information missing which I would like clarified: -First, the quaternion data seems to be assigned to joints.. even though it is meant to be assigned to rigid, extended bodies. For example, what does the 3d orientation of an elbow mean? You can only really talk about the quaternion for the forearm for example. Do these quaternions actually refer to the orientations of nearby bones? Which bones? -In order to understand exactly what these quaternions mean, we need to know the ""base"" position for each body part, from which it is rotated to get the quaternion. For example, if you have a hand facing forwards with fingers up, the quaternion depends on whether the base position is e.g. the hand at ""rest"" pointing down at the person's sides, are something else. What are the base positions for each body part? Thanks.",0,None,4,Thu Jul 25 2013 06:33:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5197,/competitions/multi-modal-gesture-recognition,16th
/shishirpy,*train.tar.gz   vs   *train.zip,Hi Does gefs_train.tar.gz and gefs_train.zip contain different data? As they are present in different rows? Earlier Kaggle use to present same data clubbed together.,0,None,1,Thu Jul 25 2013 21:04:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5199,/competitions/ams-2014-solar-energy-prediction-contest,None
/byang1,leaderboard based on 2% of test data ?,Is this intentional or should it be 20% ?,0,None,1,Fri Jul 26 2013 01:07:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5200,/competitions/mastercard-data-cleansing-competition-finals,1st
/jugeshsundram,Trouble understanding the Data Preparation,"I apologize in advance if this is a lame question but I have trouble understanding the first pointer in the Data Preparation section. After removing from the data set samples from devices with fewer than 6000 samples collected and sequences of samples during periods of rest exceeding 10 seconds, 60 million samples from 387 users were made available for the competition. Especially the 6000 samples collected and the periods of rest exceeding 10 seconds. Appreciate any clarification in this regard !",1,None,6,Fri Jul 26 2013 06:56:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5204,/competitions/accelerometer-biometric-competition,556th
/sibeliusseraphini0,Public Info about Pairs,"Hello everybody, Someone has any idea to improve the model using the public info about the pairs? Or the target details Thanks in advance",0,None,2,Fri Jul 26 2013 18:40:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5205,/competitions/cause-effect-pairs,215th
/sashikanthdareddy,PostgreSQL script to load data into a database,"With a few minor changes you can adapt this code for any other SQL db such as MS SQL Server, MySQL etc... /*load training data*/CREATE TABLE rawtrain( T float, X float, Y float, Z float, Device int); copy rawtrain from 'D:/Accel/train.csv' CSV HEADER;CREATE INDEX Device_idx ON RAWTRAIN USING BTREE(Device ASC); /*load testing data*/CREATE TABLE rawtest( T float, X float, Y float, Z float, SequenceId int); copy rawtest from 'D:/Accel/test.csv' CSV HEADER;CREATE INDEX SequenceId_idx ON RAWtest USING BTREE(SequenceId ASC); /*load questions file*/CREATE TABLE questions( QuestionId int, SequenceId int, QuizDevice int);copy questions from 'D:/Accel/questions.csv' CSV HEADER;CREATE INDEX SequenceId_idx2 ON questions USING BTREE(SequenceId ASC);CREATE INDEX QuizDevice_idx ON questions USING BTREE(QuizDevice ASC);",5,bronze,8,Fri Jul 26 2013 18:56:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5206,/competitions/accelerometer-biometric-competition,409th
/firsttimer0,1/0 or Un-rounded Values?,"Hi - sorry to ask what may be a basic question, but I have been rounding my answers to {0, 1} in the submission file, and I'm seeing that this may be sub-optimal...I'd really appreciate some advice here. When I submit a file using probabilities (e.g.: 1, .9923, 2, .9943, 3, .9912 I get a much HIGHER score than when I submit the SAME answers with ROUNDING: 1, 1, 2, 1, 3, 1 There is a very significant difference - the first score may be near .90 and the second score may be near .60-.70. Why is there a difference in the score...? Isn't this being measured on binary yes-or-no answers? Shouldn't AUC be higher using {1, 0} if indeed the correct answers are {1, 0}? I appreciate your help! Thank you.",0,None,2,Fri Jul 26 2013 19:05:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5207,/competitions/amazon-employee-access-challenge,322nd
/jack81262,At what time is the forecast to be made?,"Is there a specified latest time (e.g., 23:59 on the prior day) that the prediction may be made? And, if the prediction can be made at the end of the prior day (or, for that matter, the beginning of the current day), then presumably the prior day's energy would be available as a model input. If this is the case, then daily values for the test set should be provided. Thanks, Jack",0,None,1,Fri Jul 26 2013 23:04:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5209,/competitions/ams-2014-solar-energy-prediction-contest,None
/davidthaler,bizarre login behavior,"Is anybody else having trouble logging in to Kaggle? Before today, Kaggle used to retain login for quite a while. Starting today, I have had to log back in more than usual, and on one of my computers(Windows), I can't log-in at all.",0,None,8,Sat Jul 27 2013 01:34:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5211,None,None
/jamesmadison,Nature of time stamps,"Are the time stamps all GMT? That is, not adjusted for local time or daylight savings?",0,None,18,Sat Jul 27 2013 04:57:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5212,/competitions/accelerometer-biometric-competition,432nd
/yzhao0527,Start Time = End Time??,"Another question, I see some different application sharing the same application ID, for example: application name = 'Washer'; application id = 37 application name = 'Upstairs Hallway Lights'; application id = 37I believe this is because I am processing all files from all four houses. Are AppId Unique for AppName within each house?please clarify, thank you. Please ignore the msg below, thank you Luis for pointing me to the right direction. ------------------------------------------------------------------------------------------------------------- Hi, for some entry in TaggedInfo, the start time == end time, any idea why is this? for data in H4/Tagged_Training_07_27_1343372401.mat last 5 entries: 1, 'Apple Macbook Pro 13', 1343433180, 1343433180 1, 'Apple Macbook Pro 13', 1343433240. 1343433240 1, 'Apple Macbook Pro 13', 1343433300, 1343433300 2, 'Apple Macbook Pro 15', 1343433630, 1343433660 2, 'Apple Macbook Pro 15', 1343433720, 1343433750 for Apple Macbook Pro 13, the start time == end time any one see the same problem?",0,None,1,Sat Jul 27 2013 04:57:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5213,/competitions/belkin-energy-disaggregation-competition,67th
/waynezhang,Could you please clarify and fix these problems,"1) train id has four digits but test id has three digits 2) in calcError.m the file format is SampleID,comma separated sequence of gesture identifiers but in example submission file the format is SampleID,space separated sequence of gesture identifiers 3) calcError.m doesn't produce similar score as the leaderboard. I think some normalization should be done in leaderboard scores. Could you please make the formula clear? 4) Sample00100 doesn't have label. It isn't necessary to include this file. 5) is the number of gestures fixed as 10 for test data? 6) the deadline shown in the top-right of the page doesn't seem to be correct. Thanks!",0,None,2,Sun Jul 28 2013 03:10:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5215,/competitions/multi-modal-gesture-recognition,None
/rushadre,Unable to create pivot tables in LibreOffice,"Hi all I was trying to create pivot tables in LibreOffice but the tutorial for Excel at [Link]:../../c/titanic-gettingStarted/details/getting-started-with-excel doesnt seem to be compatible with LibreOffice. Please somebody help establish the similarities between them. Here's what I did : - Data-->Pivot Table--> Create Then a pop up appears with these blank sections :: -- > Page ,Column, Data & Row feilds. I drag n drop ""sex"" in row feilds. Then I drag n dropped ""survived"" (sum ) in data field. But I cant drag n drop ""survived"" again in data field (so as to perform count of ""survived""). So i can have ""sex & Survived-counts"" OR ""sex & Survived-sum"" but not all three together coz cant drag n drop survived twice in data field.",0,None,2,Sun Jul 28 2013 17:36:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5217,/competitions/titanic,None
/jennxf,R tutorial error,"I am trying to implement parallelization as shown in the tutorial but i keep getting this error (see below) > registerDoMC() > library(doMC) >im.train <- foreach(im = im.train, .combine=rbind) %dopar% { + as.integer(unlist(strsplit(im, "" ""))) + } Error in { : task 1 failed - ""non-character argument"" Any idea? im using a mac.",0,None,1,Mon Jul 29 2013 03:50:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5220,/competitions/facial-keypoints-detection,None
/garretvo19,MGR_ID,"Can anyone explain the MGR_ID attributes? Meanings, roles, etc.",0,None,4,Mon Jul 29 2013 20:26:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5228,/competitions/amazon-employee-access-challenge,None
/desilu,Scoring Anomaly,"I have several submissions where only one of the 418 results is different, but the scores seem to indicate that there are two differences. Here is one example where only a single entry is different: Submission #1: Score 0.79904 (334 correct out of 418) Submission #2: Score 0.79426 (332 correct out of 418) I've re-downloaded the submitted .csv files and verified that there is only one difference in the submissions. What am I missing?",0,None,2,Mon Jul 29 2013 22:19:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5230,/competitions/titanic,None
/abhishek,comparing predictions,"Is there any way to compare new predictions with the old ones that I have already uploaded on Kaggle, without uploading the new ones? (a vague comparison, as only 4 uploads are left)",0,None,1,Tue Jul 30 2013 00:01:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5231,/competitions/amazon-employee-access-challenge,16th
/fbertrand,Kaggle website on mobile?,"Hello everyone, I love Kaggle but it seems like when I browse the site from my iPod Touch (so probably the iPhone as well and other mobile devices), the site looks horrible, spread out vertically, contains a lot of text overlaps and thus nearly unusable. I apologize if this has been addressed previously, but I didn't catch anything in a quick search through the forums. For such an Internet-oriented enterprise and community, it really feels out of place to have a completely broken mobile experience. Again I'm sure this has been mentioned before and will be addressed but it's been this way for a while and I'm too much of a fan to not say anything. ;) Thanks, Francois",0,None,1,Tue Jul 30 2013 05:09:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5233,None,None
/bradenx1,Elevation at GEFS data point ,"I'm attempting to better my interpolation scheme by including elevation as a covariate. However, it is not made clear the elevation of the GEFS data points. Is the forecast from GEFS assumed to be at uniform elevation (e.g sea-level) or the elevation corresponding to terrain at the lat/lon point?",0,None,4,Tue Jul 30 2013 21:16:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5237,/competitions/ams-2014-solar-energy-prediction-contest,20th
/wcukierski,Final Submission Selection,"What a competition this has been! We had so many participants that our competition closing email was throttled halfway through sending, so some of you may not have received this reminder. If you didn't, this message is for you: You can select up to 2 submissions that will be used to calculate your final leaderboard score. If a total of 2 submissions are not selected, then up to 2 remaining submissions will be chosen for your team based on your best submission scores on the public leaderboard. Good luck!",4,bronze,7,Tue Jul 30 2013 22:15:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5238,/competitions/amazon-employee-access-challenge,None
/jessicabombaz,manually assigning appliances,"hi, are we allowed to manually predict the appliances (without using machine learning code, only by looking on the plots)?",0,None,3,Wed Jul 31 2013 14:30:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5246,/competitions/belkin-energy-disaggregation-competition,1st
/potamitis,"Multi-instance, single-instance","Hi, We have managed to use only the ""histogram of segments"" features provided with the dataset under python. Our best shot was .86337 on the public leaderboard. If someone has managed to use efficiently the multi-instance features of segments drop us a mail to see if we can form a team. Any idea on how to use the multi-instance under python is greatly appreciated",0,None,3,Wed Jul 31 2013 14:44:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5247,/competitions/mlsp-2013-birds,35th
/leustagos,Congratulations to the winners,"Congratulations to BS Man, Paul Duan and Owen! You guys did a very good job! How you guys did it? I'm very curious... Later we'll share a little our solution (i'm too tired now, and its pretty late here).",2,bronze,38,Thu Aug 01 2013 02:14:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5253,/competitions/amazon-employee-access-challenge,3rd
/bastiaan,Large discrepancy between final ranking and submission,"Hi guys, First of all i want to congratulate everyone with their scores, this has been an interesting contest. My question though: The last 2 days if was solidly ranked between 250 and 280, but my final ranking wound up a lousy 435 (.905 vs .89) which removed me from the top 25% (which was my goal for this contest). I don't quite understand how this difference can be so huge. Can anyone clarify how the final ranking is calculated as opposed to the submission rankings?",0,None,14,Thu Aug 01 2013 02:25:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5254,/competitions/amazon-employee-access-challenge,423rd
/abhishek,confusion about probabilities,"the new parser says that we need to submit IDs and Probabilities. I have understood how IDs are being created. Can someone tell me what probabilities are? shouldn't this be predictions (eg, 1,4,2,.... )?",0,None,1,Thu Aug 01 2013 06:33:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5255,/competitions/mlsp-2013-birds,40th
/del=c28f63481e2bae00,Train data question,I think I misunderstand smth but train data file has only 5 unique device ids ([ 7 8 9 12 23]). So how could we identify true/false statements from question file since there are 387 ids?,0,None,6,Thu Aug 01 2013 09:22:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5257,/competitions/accelerometer-biometric-competition,426th
/lucamassaron,How I modified Miroslaw's code,"I thank again Miroslaw for posting his great code. Not only it was a very performing code but it gave us all a fantastic occasion to learn and test how to work with Python. Thank you again. I slightly modified Miroslaw 's code making it a bit more performing and I would like to share it with other Kagglers, so it could be an occasion to improve furthermore our abilities and knowledge when working with Python on similar problems. My results were entirely based on such a code. Here are the changes I applied: 1) An option to start from a set of predictors2) An option to immediately compute the final solution without further feature selection3) Multiprocessor, automatically choses the best number of jobs for maximum computation speed4) Introduced a small_change variable fixing the minimum change in a model to be acceptable in order to avoid overfitting5) Features with less than 3 cases are clustered together in a rare group6) After inserting a new variable it checks if the already present variables are still meaningful to be enclosed in the model (pruning)7) As for as cross validation, it fixes test_size=.15 and it uses median not mean to average the cross validation results8) It prints out only significative model changes, history of the model, best C value9) Randomized start, final CV score saved with the filename [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/8723/logistic_regression_updated_LM.py",22,gold,9,Thu Aug 01 2013 11:00:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5258,/competitions/amazon-employee-access-challenge,21st
/teamcatmeme,Encoding Categorical Data,"If you encode your training data with a 'keyed code' (Ex: 1 = Cherbourg, 2 = Queenstown, etc..) does this imply a relationship between the categories ? When I encode my training data in a sparse matrix, and run it though the same random forest model the results are better. Is split with keyed categories happening like this, resulting in error: (3 <= ) <-- Split --> (<3) (Good Cat., Error Causing Cat., Bad Cat.) <--Split--> ( V. Good Cat.) The categories numerically near each other will be more often grouped together, pulling the error with them. --Thanks!",0,None,3,Thu Aug 01 2013 17:41:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5260,/competitions/titanic,None
/stansy,Something Fishy Going On If You're Above This,"I think the best solution would be to evaluate the results on-line, without being able to download the test data before the end of the competition. Also for other competitions.",1,None,3,Thu Aug 01 2013 19:38:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5263,/competitions/digit-recognizer,None
/dkincaid,MAE question,Could you clarify for me what the S and E in your equation for mean absolute error are for?,0,None,1,Fri Aug 02 2013 01:19:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5267,/competitions/ams-2014-solar-energy-prediction-contest,118th
/begriffsschrift,Feature Selection Resources,Reading the forums for the recently completed Amazon competition have made me realize just how important feature selection is and how little I know about it. Can anyone suggest some good resources for learning about it? Thanks in advance.,0,None,2,Fri Aug 02 2013 05:35:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5268,None,None
/del=c28f63481e2bae00,Team up,Waiting for a partner for that competition.,0,None,1,Fri Aug 02 2013 07:22:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5269,/competitions/accelerometer-biometric-competition,426th
/firfirikos,Deliverables,"Hello Isabelle, I am somewhat confused about the rules. As it stands, AFAIK, the model has to be delivered in the 19th of August, results on test data on 30th of August. I also understand that the winning entries will be presented at a conference (pending paper acceptance) at some point in the future. Is the paper deadline 30th of August as well (and if yes, where should it be submitted ?). If not, is the new deadline whatever future conference workshop the results will be published in ?",0,None,1,Fri Aug 02 2013 16:35:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5274,/competitions/cause-effect-pairs,4th
/abhishek,CV score and Leaderboard Score,"hi everyone, I was wondering if some of you could tell me your CV scores and leaderboard scores. I am getting around 0.501 as my CV score and leaderboard is 0.7",0,None,7,Fri Aug 02 2013 17:32:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5275,/competitions/mlsp-2013-birds,40th
/wcukierski,"Milestone 4 and Final, Final Models","Hey all, I wanted to clarify a few points: Your Milestone 4 predictions should use the final test set and are due the same time the competition closes You should submit both models in addition to your milestone 4 file via the model upload link. Zip it all together. Model 1 = your leaderboard code, including any minor tweaks necessary to run it on the final test set Model 2 = your milestone code After the competition closes, you will have until August 16th to provide documentation of your approach. After reviewing your code and documentation, MasterCard will then announce the discretionary prize. Good luck!",0,None,8,Fri Aug 02 2013 19:15:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5277,/competitions/mastercard-data-cleansing-competition-finals,None
/issamlaradji,Is there a supplied python code ?,"Is there a supplied python code for this competition, I'm finding difficulties in returning the `AUC` values for each class after training the classifier, a template would be great.",0,None,5,Sat Aug 03 2013 08:33:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5285,/competitions/mlsp-2013-birds,40th
/cpdata,Kaggle competions: comments and ideas - please discuss,"First of all I'd like to say that Kaggle is great. I think it's invaluable for ML community at all levels: from the beginners to the high-level experts. I personally learned a lot while participating in the competitions. However I am not so sure about the companies that submit competitions to Kaggle. It seems to me that at certain level (top 10 models or so) the difference in performance is statistically insignificant - i.e. it makes little if no difference to the company. But the competitors spend most of their effort trying to squeeze another 0.001 of performance rating out of their model. As we all know it's hard and you can't do it without good understanding of inner workings of the model and the input data. Great learning experience, but hardly relevant to the problem the company is trying to solve. I would dare to say that I'd be very surprised if Amazon could actually use the models developed in this competition in their production environment. I think everyone would agree that good model starts with good data. In the Kaggle framework the data is fixed at the start and the participants have no say in improving the input. They work with whatever was selected by the company. And IMHO it is often very far from ideal. I guess everyone who's been seriously competing at Kaggle had some ideas on how they could improve their model performance if they could participate in data collection and selection. It seems to me that it could be very useful to add another type of Kaggle's collective problem solving. It would be like a crowd consulting: the company would describe the problem and possible approaches they envision. There will be a forum where kagglers and the company reps will exchange the ideas and information. This will result in collecting the data more efficiently, setting more relevant evaluation metrics, etc. Next stage will be a Kaggle competition as we know it. As for the financial part of the project I can imagine a system of evaluation of posts with ratings (say 0-10) collected separately from the kagglers and from the company reps. (something like stackoverflow.com). The prize money will be distributed according to the scores. Probably some mechanism is needed to prevent flooding of the forum with low-quality posts, e.g. a median score is subtracted from each post evaluation. I think that changes in this direction can make Kaggle even more attractive to both parties. I am very curious what other kagglers and Kaggle think about this. Thanks!",0,None,5,Sat Aug 03 2013 22:57:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5287,/competitions/amazon-employee-access-challenge,240th
/shallybu,What is the Ensemble variable?,"Hi all I don't understand what the ensemble variable is/provides? Do these represent different models used to come up with forecasts in each of the netCDF files? If someone could please provide some information on this then it would be much appreciated. Hopefully this is not a dumb question that is obvious to everyone except me. The ""get the data"" pages states the following: ""The second dimension is the ensemble member that the forecast comes from. The GEFS has 11 ensemble members with perturbed initial conditions."" The netCDF files have the following: ""0 is control, other values are perturbation numbers"" I'm not sure if I should be interested in this variable or not, but if I wasn't interested then would taking the data at 0 (control) make sense? Thanks in advance. Stephen Ps I started looking up perturbation theory on wikipedia, but that made my head hurt.",0,None,7,Sun Aug 04 2013 00:08:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5288,/competitions/ams-2014-solar-energy-prediction-contest,49th
/adazhang,Viewing submissions,"Hello, I am currently doing research in the area of wearable accelerometers for monitoring Parkinson's and its symptoms. Since this competition is in line with my research goals, I would like to read the contest submissions. However, it seems that I am only able to see the abstracts, and not the full submissions. Are the complete texts available somewhere? Regards, Ada",0,None,1,Mon Aug 05 2013 07:45:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5291,/competitions/predicting-parkinson-s-disease-progression-with-smartphone-data,None
/user116366,some question for R,"consider for code given : ne<-rep(1,n) meanx <- drop(one %*% x)/n then there is an error reported is the vector able to %*%matrix or dataframe ? is this only caused by version of R?",0,None,1,Mon Aug 05 2013 16:20:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5294,None,None
/lalas90224,does cor function ever produce na as stated in the tutorial?,"Hello... I was suspecious about the command: ""score <- ifelse(is.na(score), 0, score)"", so i tried the following code: im_test_1 <- matrix(data = im.test[1,], nrow=96, ncol=96)j = 10 x_j <- params$x[j] y_j <- params$y[j] p_j <- im_test_1[(x_j-patch_size):(x_j+patch_size), (y_j-patch_size):(y_j+patch_size)] cor(as.vector(p_j), as.vector(p_j)) to see if I was going to get na as stated in the tutorial, but i got a value of 1. Can anyone comment on the need of this ifelse command, or provide an example of when get a value of na? I understand that na will be produced if there are na's in the data supplied to the cor function, but not sure about what it stated in the tutorial: ""...necessary for the cases where all the image patch pixels have the same intensity, as in this case cor returns NA"" Cheers",0,None,2,Mon Aug 05 2013 23:11:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5297,/competitions/facial-keypoints-detection,None
/ravisawhney,Submission via Excel CSV broken?,"Hi - new to this and trying with excel first. I am struggling to get this submission to work, keep getting unexpected value errors. Have tried saving as DOS CSV also removing the header as suggested on this forum for similar problem but just will not work - appreciate some help guys. Attached file. JK [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/8770/kaggle_excel_2.csv",0,None,3,Mon Aug 05 2013 23:33:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5299,/competitions/titanic,None
/ccccat,Pending submission,My submission was pending for 4 hours already.,0,None,5,Tue Aug 06 2013 00:31:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5300,/competitions/mlsp-2013-birds,11th
/issamlaradji,Segmentation Features,"I see that `segment_features.txt` is only limited to the training set, is there a similar file for the testing samples?",0,None,3,Tue Aug 06 2013 03:27:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5301,/competitions/mlsp-2013-birds,40th
/brianfeldstein,Pending,"Hi, I tried making a submission today, but it has been listed as ""pending"" for about an hour, and hasn't given me any error message. I tried resubmitting, and the second submission is also frozen as ""pending"". I don't see anything wrong with the file, and I have successfully submitted before. Any idea what could be wrong?",0,None,4,Tue Aug 06 2013 07:13:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5305,/competitions/multi-modal-gesture-recognition,16th
/imam123,Some device ids have less than 6000 sample,"Hi, I just started looking into this. It seems some devices have still less than 6000 samples. For example device id 73: 3317 samples ,id 94: 5455 samples, id 96 and 111: 5692 and 4310 respectively. Just wanted to know whether others have observed the same.",0,None,2,Tue Aug 06 2013 07:41:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5306,/competitions/accelerometer-biometric-competition,None
/mchangun,Submission Stuck,"Hi, I uploaded a submission file about 1 hr ago but its status in ""My Submissions"" is still ""pending"". Can the Admin cancel the Submission and let me re-upload? Thank you.",0,None,2,Tue Aug 06 2013 08:34:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5308,/competitions/ams-2014-solar-energy-prediction-contest,56th
/merlion,Submission is still pending ...,"Hello William Cukierski, Anything wrong with the kaggle's server? Our submission is pending for quite a while. Could you please help us? Thanks.",0,None,5,Tue Aug 06 2013 10:23:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5309,/competitions/yelp-recsys-2013,3rd
/ywu82278,Data Questions,[airsigmet.csv] extra lines with a line specified the title. Are these lines useful? eg: SIGW CONVECTIVE SIGMET...NONE [fdwindreport.csv] reporttypes with out any explanation [Duplicated files] eg. FlightQuest2DataRelease1Train/2013_06_07/ Do extra weather files contain same information as files in FlightQuest2DataRelease1TrainWeather.zip?,0,None,3,Tue Aug 06 2013 15:06:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5314,/competitions/flight2-milestone,None
/chefele,Leaderboard Benchmark Questions,"The behavior of the leaderboard benchmarks has me puzzled. Can anyone help me understand the following? Benchmark #2 (the best on the leaderboard) is described as: 2- all flights fly at 17,500 ft at 500 mph to destination The next best benchmark is #3, which is described as: 3- all flights fly at 17,500 ft at 1000 mph to destination Benchmark #2 and #3 get exactly the same score, even though the second plane is flying 1000 mph. How is that possible? (I could understand it being more or even less, but why exactly equal?) Next, the 1000 mph velocity in benchmark #3 is supersonic, and I don't think most commercial airliners are designed for that. Nevertheless, is that a valid speed for a submission? In addition, there are some benchmarks (e.g. #5) where the flight's velocity is 0 mph: 5- all flights fly at 17,500 ft at 0 mph to destination Is a 0 mph velocity permitted? (and what does that really mean?) I'm also puzzled why a 0 mph plane scores better than benchmark #8, where the plane is moving 500 mph: 8- all flights fly at 31,000 ft at 500 mph to destination Any comments, anyone? PS I wasn't in Flight-Quest #1, so perhaps I'm missing something fundamental...",0,None,1,Tue Aug 06 2013 18:42:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5319,/competitions/flight2-milestone,28th
/anguschristophersen,Open Source and IP Terms,"Hi all! As you can no doubt see, Flight Quest 2 is the most complex competition yet run on the Kaggle platform and it comes with its own set of Rules (see the complete [Link]:https://storage.googleapis.com/kaggle-competitions/gequest/3521/media/Flight Quest 2 Official Competition Rules.pdf) including a license to the simulator code and some restrictions regarding Open Source Code that are a little different from other Kaggle competitions. This thread is a place for highlighting and discussing these differences. In particular, we wanted to highlight the following Rules information: License to Code: All code provided to Entrants by GE or Kaggle on behalf of GE is provided to Entrants on a non-exclusive basis for the duration of the Competition and solely for Entrants to participate in the Competition, including rights to read and learn from the source code; compile and execute the source code; and alter the source code locally (including to interact with Entrant’s own code). Any use outside or not for the purposes of the Competition is prohibited. Open Source Code: Your Entry will be ineligible to win a prize if it includes open source code licensed under a license other than the following approved licenses: Apache License 2.0 (""Apache-2.0"") BSD 3-Clause license (""BSD-3-Clause"") BSD 2-Clause license (""BSD-2-Clause"") MIT license (""MIT"") Python License (""Python-2.0"") For example, your Entry must not include open source software licensed under the following licenses: GNU General Public License (""GPL"") Affero General Public License (“AGPL”) In the event additional licenses are added, a revised list with the added licenses will be announced in the Competition forum on the Website. Open Source Libraries and Dependencies: Your Entry will be ineligible to win a prize if it depends on open source code in a way that would grant or require GE to grant to any third party any rights to proprietary GE software, including software derived or developed from your Entry. For the avoidance of doubt, this requirement disqualifies Entries containing or relying upon open source libraries or dependencies that would affect GE's ability to redistribute derivative works as non-open source software. As set forth in Rule 17, a code scan and review may be performed on a potential winning Entry to determine whether the Entry and underlying code are consistent with these Competition Rules. Feel free to discuss in this thread and if you ping us with specific questions, we will get you a response within a reasonable timeframe.",0,None,15,Tue Aug 06 2013 19:40:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5320,/competitions/flight2-milestone,None
/tdomhan,Use case / ethics ,I was just wondering what a possible use case for this is? The only thing I can think of is surveillance.,1,bronze,2,Tue Aug 06 2013 19:56:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5321,/competitions/accelerometer-biometric-competition,273rd
/coldcanuck,Aircraft Impact on Simulation,"Hi as far I know every aircraft/airplane have your own cruise speed with best fuel consumption. How this variable is embedded on this challenge ? When we are defining ""the best"" air route/path/speed we don't know what aircraft it is and what is the most economical cruise speed or VC.",2,bronze,1,Wed Aug 07 2013 04:13:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5325,/competitions/flight2-milestone,None
/binghsu,team up,Please drop me an email if you want to team up with me in the competition~,0,None,4,Wed Aug 07 2013 05:13:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5326,/competitions/flight2-milestone,None
/gabrieleseppi,Airspeed in submissions,"I've got a question regarding the airspeed we have to include in the submission file: clearly it's not ground speed, but which specific airspeed do you expect? Indicated, true, calibrated or equivalent? And in which measure of unit (mph, km/h, kn)? Thank you!",0,None,4,Wed Aug 07 2013 10:07:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5327,/competitions/flight2-milestone,5th
/abhishek,total AUC or AVG for leaderboard?,"Hi, I have one more doubt with AUC. This time its about how the evaluation is being done for ranks in the leaderboard. Lets say I have probability values for every bird in a given audio file. Similarly I find probability values for all birds in all the files given. Now I want to know whether for scoring in the leaderboard the AUC is calculated on individual samples and then averaged or it is just the overall AUC?",0,None,6,Wed Aug 07 2013 16:00:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5333,/competitions/mlsp-2013-birds,40th
/vojtekb,model uploaded,team luxtorpeda submitted: SHA1 d45c9050522294aa9e12d63d4e565093c76b5e2a luxtorpeda-final-submission-20130807-2220.tgz,0,None,2,Wed Aug 07 2013 22:35:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5335,/competitions/mastercard-data-cleansing-competition-finals,2nd
/x10ba12713,Tableau Software,"Hi, Anybody else going to use Tableau Software for this challenge or are you all using R, Python, etc.? Thanks, x10ba [noting that final submission will be coded per rules]",0,None,1,Thu Aug 08 2013 00:07:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5337,/competitions/flight2-milestone,None
/sharmaharshit,Submission error,"I am trying to upload my result in the format as specified in sample_submission.csv But I get following error: Column 'rec_id' was not expected (Line 1, Column 1) Column 'species' was not expected (Line 1, Column 8) Required column 'Id' could not be found. What am I missing?",0,None,1,Thu Aug 08 2013 08:40:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5339,/competitions/mlsp-2013-birds,64th
/abhishek,HOS,is there a reference on how histogram of segment features are created from scratch? I have achieved some good noise reduction and would like to create my own features [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/8796/Screen Shot 2013-08-08 at 2.29.48 AM.png,0,None,3,Thu Aug 08 2013 11:16:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5340,/competitions/mlsp-2013-birds,40th
/dzhibas,devices in space :),"found couple of devices which was in free-fall (or maybe in space?) ignoring those which x or y or z exactly ""0"". how you treat those entries where one of vectors is exactly ""0"" ? is it perfectly calibrated device measure or data retrieval error ? fun i'm curious what will show accelerometer in elevators during ac/de-celeration?",0,None,1,Thu Aug 08 2013 14:59:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5344,/competitions/accelerometer-biometric-competition,None
/wbtthefrog,Leaderboard highlight,"It might be a nice feature addition that if a logged-in user is viewing a challenge leaderboard, and that user (or his/her team) has made a submission which appears on the leaderboard, that row is highlighted, in a similar way to the benchmarks. Then we can more easily visually see just how bad we're doing.... :-)",5,silver,5,Thu Aug 08 2013 15:57:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5345,None,None
/wbtthefrog,404,"The link from https://www.gequest.com/c/flight2/details/basic-structure-of-fq2 called ""Simulator Release Schedule Updates"" returns a 404. The final ""here"" link on https://www.gequest.com/c/flight2/details/flight-stats (regarding AIRSIGMET) looks and hovers like a link, but has no onclick action at least in Firefox, though the source looks OK in the inspector. I had a bunch of other 404s, empty pages, or pages not found open in tabs, but can't remember just where they were linked from. It might be worth putting a spider over the competition pages to verify that links return something appropriate. That'll help reduce confusion. Thanks!",0,None,1,Thu Aug 08 2013 16:16:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5346,/competitions/flight2-milestone,None
/tianyiwu,CV Problem,"It is really confusing. Firstly, I tried 10-fold cv with my model. And I get perfect result (around 0.97). But with test set, I can only reach about 1.27. Then I think it may be the problem that a lot businesses and users are not included in training set. To mimic that, I randomly split reviews (220k records) into 2 sets as 1-fold cv (so there should be reasonable number of businesses and users that only appear in validation set). I can still get 1.05 which is significantly lower than the score on leaderboard. Anyone can help?",0,None,4,Thu Aug 08 2013 16:26:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5347,/competitions/yelp-recsys-2013,36th
/anirudhranganath,This competition has been re-enabled,"We have deployed a new submission processing system for all Kaggle competitions. Full details of the change are [Link]:https://www.kaggle.com/wiki/SubmissionParser. The new system enforces strict requirements on the file format, which removes the guesswork on creating a submission. This competition is now open to those who want to make submissions and test their skills. This update only affects new submissions; the scores of your submissions before this update are not affected. However, this does mean that the submission format you've previously used may no longer work for new submissions. Please note the change in the submission formats by downloading the new sampleEntry.csv file.",0,None,1,Thu Aug 08 2013 23:44:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5352,/competitions/GiveMeSomeCredit,None
/anirudhranganath,This competition has been re-enabled,"We have deployed a new submission processing system for all Kaggle competitions. Full details of the change are [Link]:https://www.kaggle.com/wiki/SubmissionParser. The new system enforces strict requirements on the file format, which removes the guesswork on creating a submission. This competition is now open to those who want to make submissions and test their skills. This update only affects new submissions; the scores of your submissions before this update are not affected. However, this does mean that the submission format you've previously used may no longer work for new submissions. Please note the change in the submission formats on the data page and download the new sample submissions file.",0,None,1,Fri Aug 09 2013 00:43:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5353,/competitions/hack-reduce-dunnhumby-hackathon,None
/firsttimer0,Code from winning teams?,"Apologies if this is covered somewhere else, but please let us know where the code is (or will be) posted for the winning teams in this challenge? Thank you.",0,None,4,Fri Aug 09 2013 15:17:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5357,/competitions/amazon-employee-access-challenge,322nd
/geoffreydesmet,Does the route of 1 plane affect the route of another plane?,We need to plan the route of each plane. But do the route of planes affect each other? Or can we calculate the route of each plane in isolation?,0,None,3,Fri Aug 09 2013 16:08:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5359,/competitions/flight2-milestone,None
/senormajete,Question about waypoints,"Hi all, If I did not understand it wrong, in the sumission procedure and for every flight to optimize, you are only going to provide us with an origin and a destination airport. My question is about the waypoints that we can use in order to perform the opmization. That leads me to the following questions: Is there a database of possible waypoints that we can use to connect the airports? In case that such a data base exists, we will be able to use them all or only a subset? In case that we do not need predefined waypoints to perform the optimization I assume we are able to provide as many as we desire only specifying them by customized latitude and longitude coordinates. Is that right? Thank you in advance,",0,None,1,Sat Aug 10 2013 00:10:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5363,/competitions/flight2-milestone,101st
/richardprystowsky,Director of the Center for Data Science,"I am the Provost at a large community college. We are transforming the Office of Institutional Effectiveness, Research, and Planning into the Center for Data Science. I am trying to help our HR Dept. find journals and other venues outside of academics in which we should advertise the position of Director of the Center for Data Science. I would appreciate whatever advice persons can offer. Thank you!",0,None,2,Sun Aug 11 2013 16:25:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5372,None,None
/trevor21,Python 3.3 error,"Hi everyone, I'm attempting to use the tutorial and I know that it is written in Python 2.7, however, I would like to learn in 3.3 as that is the newest version. I'm having trouble converting data to a float. The problem seems to be with the syntax ""data[0::,3]"" Actual Code: number_passengers = np.size(data[0::,3].astype(np.float)) --------------------------------------------------------------------------- IndexError Traceback (most recent call last)<ipython-input-35-2876d11f24f6> in <module>()----> 1 number_passengers = np.size(data[0:3,3].astype(np.float)) IndexError: too many indices Any help on how to implement this in 3.3 would be greatly appreciated!!",0,None,4,Mon Aug 12 2013 03:38:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5376,/competitions/titanic,None
/raghunathan,Why Complex Values?,May I know why do the values given in the data sets are complex values.. Plz help me to understand it clearly...,0,None,1,Mon Aug 12 2013 07:40:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5378,/competitions/belkin-energy-disaggregation-competition,None
/byang1,voltage/current time ticks,"Hi, I took a quick look at one data file, H1/Tagged_Training_04_13_1334300401.mat, and each TimeTicks1/2 value is repeated 5 times (yes I printed them out to the last digit, not in scientific format), at least at the beginning of the data. Is this correct ?",0,None,3,Mon Aug 12 2013 19:28:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5384,/competitions/belkin-energy-disaggregation-competition,None
/zygmunt,Beating the benchmark (have never been easier),How would you like AUC = 0.8 in no time? http://fastml.com/accelerometer-biometric-competition/ Remember to click the thank link if you find the post interesting.,33,gold,11,Mon Aug 12 2013 22:24:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5385,/competitions/accelerometer-biometric-competition,164th
/kongwah,code submission as a zip file,"Hi Xavier, Do we submit the code via the same submission webpage where we also submit our prediction CSV file and the model ? Our code comprises of separate modules written in Linux binary, matlab/octave code, and shell scripts. We will provide a README to describe each module and how to run each in succession to generate the final prediction CSV file. In the README, we will also specify all dependency 3rd party code+libraries that we use, e.g OpenCV, ffmpeg, SVM-light, Matlab, etc. I am assuming we can organize all these code into directories that are meaningfully named, and then zip everything up into a single zip file. telepoints",0,None,1,Wed Aug 14 2013 06:52:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5392,/competitions/multi-modal-gesture-recognition,8th
/albireo1,Can I use this dataset for public use (degree paper) ?,"Although I read rules all, I can't find that using this data for public use(master degree paper) is enable or not exactly. and can't find where to ask this question..",0,None,1,Wed Aug 14 2013 08:49:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5393,/competitions/ams-2014-solar-energy-prediction-contest,132nd
/rouseguy,benchmark details?,Can you please point me to the document which explains how the benchmark using RF was arrived?,0,None,1,Wed Aug 14 2013 13:07:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5395,/competitions/mlsp-2013-birds,26th
/wbtthefrog,Forum search should be forum-specific,"When reading any forum, such as this one or a challenge-specific forum, I sometimes want to search for a particular post that I've seen before. The search box in the upper right corner of that forum looks like a good way to do that. However, it just redirects to a Google search for '{query} ""all forums"" site:www.kaggle.com' and that's not necessarily helpful. Please restrict the search to the forum where the search query was entered, or ""All forums"" only for searches from the main page at http://www.kaggle.com/forums.",0,None,2,Wed Aug 14 2013 17:58:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5399,None,None
/joseffeigl,How do you cross-validate?,"Hi, I just started playing around with the data and build a first simple approach using basically only the mean of the x,y,z series and the sampling rate. However, to cross-validate my results I split up the data for each device into a training part and a testing part (with 300 data points). My problem is that my cv-score is way too good; cv score of 0.9 compared to a leaderboard score of 0.7. So, is anybody experiencing similar problems? How do you cross-validate your models?",0,None,8,Wed Aug 14 2013 20:43:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5401,/competitions/accelerometer-biometric-competition,52nd
/georgiosevangelidis,Incososistent ground truth labels,"Dear all, we just checked the example 630 (since it is one of the examples where our method seem to completely fail) and it seems that the ground truth labels are not consistent with what we observe in video. We did not check in detail other examples, but maybe, there are more. Can someone verify that we dont miss something? Georgios",0,None,2,Thu Aug 15 2013 12:23:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5406,/competitions/multi-modal-gesture-recognition,11th
/bigdata1024,testFlights.csv and Milestone,I noticed that the dataset has been updated to include testFlights.csv Is this the dataset we will be using until the Milestone snapshot? Or will we receive a new set of files that will be used for judging the leaderboard at the Milestone?,0,None,5,Thu Aug 15 2013 15:33:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5407,/competitions/flight2-milestone,106th
/ruoxinsang,Fail to upload,"We have a big trained model (~600M) to upload, and we began to upload it five hours ago, the website mentioned the percent to go, it will be a lot of time. So we go to some rest to wait for its submission. But as we are too tired yesterday, we just fell asleep, when we wake up in the morning, I find the upload is failed. I notice there is only one minute left for the deadline, I just deleted one of the model file and tried to upload the model first, but when we finish uploading ,it's already beyond the deadline. Is there any chances we can upload the model again?",0,None,6,Fri Aug 16 2013 02:27:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5414,/competitions/multi-modal-gesture-recognition,52nd
/del=c28f63481e2bae00,paper-data correspondence,In paper [4] amplitude is measured in dBm. What about given data? Was it log-scaled? Could you provide the correspondence formula between paper measurements and given?,0,None,1,Fri Aug 16 2013 02:31:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5415,/competitions/belkin-energy-disaggregation-competition,72nd
/workingknowledge,Code submission vs. final ranking?,"The rules seem a little fuzzy about the role code submission in the final rankings. The rules imply that code submission is a prerequisite to winning (top 3 placement), but not a prerequisite to ranking (placing 4th or worse). How will code submission (or lack thereof) be handled? These rules imply that the top-3 contestants who have submitted working code will be declared the winner and the rest of the field will be ranked irrespective of code submission. Correct? Also, if a contestant's submitted predictions place in the top 3, but you have trouble running their submitted code, the rules seem state that the contestant has seven days to submit working, result-replicating code. Correct?",0,None,5,Fri Aug 16 2013 21:02:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5422,/competitions/cause-effect-pairs,3rd
/ccccat,Competition rules,"This competition is govern by Research Competition Standard Rules which requires releasing algorithm and code to the public. Is it done intentionally? I am not sure that it is the best use of really good algorithm. However if real goal is just select people for that ""show"" in Miami then it is OK. Obviously, you should not submit you best model/strategy, otherwise you will have nothing to license later.",4,bronze,6,Fri Aug 16 2013 22:03:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5424,/competitions/battlefin-s-big-data-combine-forecasting-challenge,2nd
/gernhuijberts,What do these digits look like?,"I wondered what the digits in the datasets would look like, so I wrote a small R script to view them. R package grid should be installed. The script uses the train dataset. picture = function(z){ number= array(1:748, dim = c(28,28)) for (i in(1:28)) { for (j in (1:28)){ number[i,j] = 1-(train[z,((i-1)*28+j)]/256) } } grid.raster(number) train[z,1]} and this is what picture(1234) yields: [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/8926/picture1234.pdf",2,None,3,Sat Aug 17 2013 10:16:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5428,/competitions/digit-recognizer,None
/domcastro,Using AlchemyAPI to fill in the gaps,"Hi, Can we fill the Alchemy gaps by using AlchemyAPI? I applied for an API key and they seemed very keen for me to use it for the competition, Is this acceptable?",1,bronze,10,Sat Aug 17 2013 20:44:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5429,/competitions/stumbleupon,272nd
/booksiberia1,Why are the LongitudeDegrees data points negative numbers?,"Also: are the specified waypoints in the data mandatory points imposed upon the flight, or are they just historical artifacts that just happened to be the waypoints that were chosen (important to know, as the entry submissions require us to designate waypoints). Are user submissions free to contain as many ordinal ""legs"" of the flight as desired (presumably because our solvers for minimized total costs suggest such), or are the waypoints instead ""nonnegotiable"" i.e., imposed on each flight? Right now, I am presuming that the lat, long, altitude coordinates defining each waypoint are free to be chosen, and that we can make use of an arbitrary number of them, and thus specify as many ordinals for a flight as desired, but if I am wrong, it would be nice to know that this isn't the case.",0,None,3,Sat Aug 17 2013 23:51:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5431,/competitions/flight2-milestone,109th
/peterzlang,"training data for station CLAY(34.7,-95.3) from May-July,1999","Just some odds. The data shows a flat line with value 12320768. Wonder what happened? Funny that it is a non zero value, if the site was down.",0,None,2,Sun Aug 18 2013 01:36:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5432,/competitions/ams-2014-solar-energy-prediction-contest,None
/adrianseeley,Sloppy JSON Boilerplate,"Why the double-double quotes at each separator? Most JSON parsers won't touch this: JSON.parse(sample_case);{""""title"""":""""IBM Se..."""",""""body"""":""""A sign stands..."""",""""url"""":""""bloomb...""""} But can be overcome with: JSON.parse(sample_case.split('""""').join('""'));{""title"":""IBM Se..."",""body"":""A sign stands..."",""url"":""bloomb...""}",0,None,11,Sun Aug 18 2013 15:37:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5434,/competitions/stumbleupon,511th
/ericchio,Code of the winning solutions interviews (Dojo),"Hi all, Where can I find the full runnable code for the past Kaggle competitions for the Dojo categories on the Kaggle blog? I checked the Kaggle dojo categories but it's basically text only but no links to source codes can be found. Sometimes I can find snippets of code though. As I thought winners disclose all their source code? (p.s. I can find the forum thread ones) Thank you.",0,None,3,Sun Aug 18 2013 16:48:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5436,None,None
/iguyon,Provide trained models,"We highly recommend that those of you who want their code verified provide trained models. This will facilitate the verification process by requiring less compute power and will eliminate difficulties we may have running your training code and reproducing your model(s). If your models are too big to upload to the Kaggle website, please provide us with a means of downloading them BEFORE THE CODE SUBMISSION DEADLINE and send this information to causality at chalearn dot org. You may submit up to 3 models (corresponding the the three submissions you will make on test data). The code you provide should allow us to make predictions using your model(s) on NEW data you have never seen, hence it should include preprocessing/feature extraction and prediction.",0,None,1,Sun Aug 18 2013 18:21:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5437,/competitions/cause-effect-pairs,None
/jarjestelmacom,Importance of unsupervised learning,"We've all been able to hand-tune our model parameters according to public data and some anwers that have been given to us, making this a competition in supervised learning. Edit: I'm not sure how many of the top competitor's programs include a learning component. I won't probably make a good submission by deadline so I can't tell. I'm uncertain about the importance of unsupervised learning in here. After all, the program we deliver will not work in an environment that has any more answers than we already have. Or, is there? I might have missed something. If there's any learning involved, it's happened to me, not my program. I've thought that the ideas of causation are universal and not related to any particular data set.",0,None,2,Sun Aug 18 2013 20:58:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5438,/competitions/cause-effect-pairs,None
/rouseguy,Sentiment dictionary,Are people using any sentiment dictionary? I didn't see any link on the discussion forum on sentiment dictionary. I am considering using sentiment dictionary to see if it can help in feature selection. I am considering using this dictionary: [Link]:http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html#lexicon Admins - would that be fine?,0,None,3,Sun Aug 18 2013 21:42:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5439,/competitions/yelp-recsys-2013,152nd
/marcolui,A couple of clarifications,"Hi Diego! Thanks for organizing this shared task. I've just got a couple of quick clarifications: 1) Is the training data strictly limited to the data available on Kaggle? In other words, is it OK to use external corpora or resources? 2) Is the final test data the one that is already available, or will there be another data release closer to the end date? Thanks!",0,None,1,Mon Aug 19 2013 07:52:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5442,/competitions/alta-2013-challenge,1st
/rohits,MemoryError on EC2,"I am have having a hard time trying to load the data into a pandas DataFrame. I have been trying to use an EC2 instance. My team has a m2.xlarge instance and yet, we keep running into a MemoryError being thrown. Tried to `read_csv` in chunks followed by `concat` method in vain. Any tips on how to handle this? Should I get a different instance type?",0,None,2,Mon Aug 19 2013 11:43:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5443,/competitions/accelerometer-biometric-competition,26th
/leustagos,How to build the leaderboard submission,I really dont get this datset. Whats is file trainLabels.csv for? How to build the leaderboard dataset?,1,bronze,21,Mon Aug 19 2013 14:52:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5446,/competitions/battlefin-s-big-data-combine-forecasting-challenge,153rd
/royd114539,Power measurements?,"Hi, I have a question about the source of these measurements. In the low frequency data provided, we receive complex values for the voltage and current across each of the mains. However, if the data is taken from a device like that outlined in [4], it doesn't seem possible to measure the current through the mains. I started wondering if these measurements for current actually reflect the current through a device similar to the ElectriSense sensor, rather than taken in by the house itself. More details would be helpful. -- Also, could we receive a little more detail as to what information is in the high frequency data? It is just a large time-indexed vector as is. I understand that it is just the magnitude of the spectrogram of some signal; however, it is unclear whether or not it contains information on the voltage or the power, or information on phases/mains 1, 2, or both. Thanks in advance.",0,None,7,Mon Aug 19 2013 23:09:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5454,/competitions/belkin-energy-disaggregation-competition,None
/franchi,CutoffTime is always after ScheduledArrivalTime,In testFlights.csv the CutoffTime is always after the ScheduledArrivalTime. Is it an error?,0,None,10,Tue Aug 20 2013 01:45:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5455,/competitions/flight2-milestone,5th
/byang1,H1 Visual check,"I plotted the power graph for all on/off events in all 6 Tagged_Training_*.mat files in H1. The attached file lists events that I could not tell/distinguish by eyeballing, usually due to large amount of background noise and/or no noticeable power-on time. This was based on voltage and current only, I did not look at the high-frequency noise. Can someone confirm this ? I just want to make sure I got the data parsed and processed correctly. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/8996/H1_VisualCheck.txt",0,None,1,Tue Aug 20 2013 03:38:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5456,/competitions/belkin-energy-disaggregation-competition,None
/abhishek,is this even possible?,"I had one submission left in the evening before the deadline but the training took unusually high amount of time. I have attached a post deadline submission and would like to ask the toppers/organizers/kagglers, if this is even possible? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/8997/Screen Shot 2013-08-20 at 8.02.10 AM.png",0,None,10,Tue Aug 20 2013 08:07:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5459,/competitions/cause-effect-pairs,10th
/julesvanligtenberg,"Scores on leaderboard changed, new version of flight simulator?",Between 10 hours ago and now all the scores on the leaderboard have changed. Is there a new version of the flight simulator in place?,0,None,2,Tue Aug 20 2013 10:11:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5460,/competitions/flight2-milestone,21st
/zygmunt,Links in emails from forum don't work,"See the blue ""view topic"" button, the links start with //www.kaggle.com (without http).",2,bronze,4,Tue Aug 20 2013 13:18:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5462,None,None
/rkeisler,bad test files,"In addition to Sample00931, which is very short, Sample00917 and Sample00918 appear to have problems. The video/skeleton data have a different length than the audio data. It looks like the problem is that the video/skeleton data is running too slow. I downloaded from the UOC mirror at http://sunai.uoc.edu/chalearn/. Let us know how we should handle these three files, or if you plan to fix them. Thanks.",0,None,4,Tue Aug 20 2013 18:51:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5469,/competitions/multi-modal-gesture-recognition,2nd
/leustagos,This competition allow teams?,This competition allow teams?,0,None,1,Tue Aug 20 2013 19:58:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5471,/competitions/battlefin-s-big-data-combine-forecasting-challenge,153rd
/kiihne,H3 time slices: time repeats in L2,"I'm looking at the 1st training data for H3 and current data is a bit weird. Specifically, the TimeTicks for both L1 and L2 seem to repeat (at first I thought it was just L2, hence the title) octave-3.4.0:58> L2_PlotTicks(369980:369985)ans = 61603.3989565372 61603.5654590130 61599.4080240726 61599.5745265484 61599.7410287857 61599.9075312614 octave-3.4.0:65> L1_PlotTicks(370150:370155)ans = 61631.7079813480 61631.8744838238 61628.2910630703 61628.4575655460 61628.6240677834 61628.7905702591 The data is pretty messy around these points, and I will probably just drop them, but this is a 3-4s offset. I'm wondering how it could be generated by the system.",0,None,2,Tue Aug 20 2013 22:07:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5472,/competitions/belkin-energy-disaggregation-competition,115th
/jonathangoh,Update of model,"Hi Xavier, In the new test data set, the structure of the data does not have the Labels cell. As such, we had to modify a small part of our code to disregard checking of the Video.Label cells. Also, the final test file names goes up to 1074. We did not cater for this when generating the CSV file and the first column of the CSV file could not be generated properly. So, we had to modify this part of the code as well. None of the above actions are related to tuning of the parameters for the model, are we able to upload a new model for the organisers to validate the new test data on the Kaggle platform? Thanks.",0,None,5,Wed Aug 21 2013 07:19:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5475,/competitions/multi-modal-gesture-recognition,9th
/herimanitra,numerical weather prediction models,What are these numerical weather prediction models (!= Spline ) ? and what is the most accurate result we've got with this dataset?,0,None,4,Wed Aug 21 2013 08:20:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5476,/competitions/ams-2014-solar-energy-prediction-contest,5th
/muddygardener,Where are the winning methods posted?,I'm looking for the writeup of the winning methods and can't find anything on the @ds_ldn web site (or here). Could someone who knows where it is post a URL? tx,0,None,1,Wed Aug 21 2013 12:44:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5477,/competitions/predict-who-is-more-influential-in-a-social-network,None
/transfunctioner,Forum spam,How about a competition to detect forum spam? ;),1,None,4,Wed Aug 21 2013 13:19:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5479,None,None
/abhishek,knowledge competitions,are these knowledge competitions never going to end?,1,None,1,Wed Aug 21 2013 15:35:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5481,None,None
/abhishek,raw data,can someone tell how are the raw files arranged? their numbering makes no sense,0,None,9,Wed Aug 21 2013 19:00:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5484,/competitions/stumbleupon,6th
/ydhiman,"Terms Explanation Required: Input, Output, Security and Feature  ?",Can someone please explain these terms in simple words ?,0,None,1,Thu Aug 22 2013 08:44:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5492,/competitions/battlefin-s-big-data-combine-forecasting-challenge,None
/blindape,Simulator features,"Meanwhile the simulator code is released, would be nice almost enumerate which features considers for cost evaluation and/or some important restrictions (e.g: climb percent). In sampleSubmission flights are left at 18000 ft and 450 knots for a distance of 150 (value of descend_distance in basicAgent.py). Does this mean the simmulator don't consider the aproximattion and landing? (assign a fix or naive cost?) A constant climbing isn't realistic. Does the simulator consider changes in altitude occurs across all the flight leg or in a limited interval?",0,None,1,Thu Aug 22 2013 20:52:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5501,/competitions/flight2-milestone,22nd
/sigint,Ensemble of evaluation metrics,"what is the best error metric? linear? log? AUC? MAP? Hamming distance? Absolute Mean? Median? Standard deviation? square roots? It usually differs based on the purpose, but once an error metric is chosen for a competition host, the nature of the machine learning is to overfit to that particular error metric, and ignore other metrics. This is good, that it is simple to measure and build. but, this is also bad, that in real life, we might prefer more robust answer. What if the competition's error metric is a combination of all? Wouldn't that provide a more all-around robust answer|model?",0,None,1,Thu Aug 22 2013 22:46:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5503,None,None
/brianfeldstein,Where do we submit the fact sheet?,Are we supposed to submit the fact sheet on Kaggle just as if it is an ordinary prediction file?,0,None,10,Fri Aug 23 2013 05:59:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5508,/competitions/multi-modal-gesture-recognition,16th
/vpitsik,training on validation set ?,"Dear organizers,until the submission of the validation results ,our understanding was that only the training data is employed in the training.For our submitted models until 15 Aug no validation data have been seen in the training. This was also our understanding of the evaluation proceduredescribed [Link]:http://www.kaggle.com/c/multi-modal-gesture-recognition/details/evaluation. In one of the posts (5th) found in the forums, [Link]:http://www.kaggle.com/c/multi-modal-gesture-recognition/forums/t/5331/important-timeline-update-and-description , which I am quoting bellow (see phrase highlighted within stars), we read: Jiaxiang Wu wrote Dear Xavier, I have a question upon the code submission part. You only mentioned code submission of the final prediction part of recognition system, but our system also requires a training procedure * based on the development and labeled validation dataset *. Do we need to submit the code that produce trained models, or we just need to submit the prediction code along with these trained models? Jiaxiang Wu X Thus, if there is not any misunderstanding up to now, our question is as follows :If any participants are employing the validation data for trainingthis should be made publicly clear so as to be sure that the comparisons considered are fair.Also, if this is applicable and is ok from the perspective of the organizersthis should also be made clear.If this is the case, other participants, may consider to explore experimentsby updating their models and including validation data in the training,and of course if needed, also submit source code for training, so as to provide evidence that no tuning has been applied with respect to the test data. Apologies for the long e-mail and for posting as a new topic, but we thought that the issue is important. Thank you in advance. Best regards,Vassilis X",0,None,1,Fri Aug 23 2013 13:23:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5510,/competitions/multi-modal-gesture-recognition,4th
/abhishek,key for test data?,wasn't the key supposed to be released today?,3,bronze,9,Fri Aug 23 2013 17:46:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5511,/competitions/cause-effect-pairs,10th
/abhishek,noisy test data query,"Hi, Is the test data relatively more noisy than the given training data? Are the number of missing values in test and training data same? Also, I noticed that even for the values derived using Alchemy, some categories have missing values, even though those values can be generated by using Alchemy API for the same data. Is there any specific reason for this?",0,None,6,Fri Aug 23 2013 20:11:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5513,/competitions/stumbleupon,6th
/bryangregory,Final Test Set -- Brief Overview,"For those of you who haven't had a chance to dig into the final test set just yet, here are some quick stats about the new data to help prepare you: Overall: 36,404 reviews 8,341 business (2,797 of which exist in final_test_set_business) 15,001 user id's (9,522 of which exist in final_test_set_user) 1,796 businesses with checkin data Data subsets: UsrAvg+BusAvg: 12,052 reviews UsrAvg: 4,077 reviews BusAvg: 14,977 reviews NoAvgs(ColdStart): 5,298 reviews You'll notice that the ColdStart and BusAvg subsets make up a greater % of this new test set than the old one, with UsrAvg making up a significantly smaller portion.",11,silver,1,Fri Aug 23 2013 22:06:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5514,/competitions/yelp-recsys-2013,7th
/sashikanthdareddy,Discrepancy betweeen Timestamp description & Actual data,"The data page says: [quote] The timestamps within each file are as follows (ignoring the header row): Line 1 = Outputs and inputs at previous day's close (4PM ET) Line 2 = Outputs and inputs at current day's open (9:30AM ET) Line 3 = Outputs and inputs at 9:35AM ET ... Line 55 = Outputs and inputs at 2PM ET You are asked to predict the outputs 2 hours later, at 4PM ET. But... Looking at ""1.csv"" - the above description does not appear to be true. There are 56 lines in ""1.csv"". Since first line is for header let's ignore that - and we are left with 55 lines. Of the 55 lines left, the very first line refers to previous days inputs/outputs so, let's ignore that line as well and we are now only left with 54 lines. If the 1st of the above mentioned 54 lines starts at 9:30 AM, the 2nd at 9:35 AM then the 54th (the last line in the file) should be at 13:55 PM. It appears on the description page 1 extra line was counted hence ending timestamp was suggested to be at 14:00 PM. Attached is an excel file if someone wants to check this out for themselves (see TimeStamp.xlsx). ps: how come I cannot delete attachments. I by mistake uploaded a different file with a similar name on my first attempt. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9013/TimeSheet.xlsx [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9014/TimeStamps.xlsx",0,None,2,Sat Aug 24 2013 10:56:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5516,/competitions/battlefin-s-big-data-combine-forecasting-challenge,None
/rkirana,bad experience,This competition has been a bad experience 1) the first test set was released - had a distribution totally different from train 2) answers to first test set are there in yelp recruiting competition apparently 3) newly released set has an additional column review-id in test Please note that adding new columns in final test set breaks existing code making it difficult and such a difficult competition has a prize pool of $500.,5,silver,10,Sat Aug 24 2013 13:23:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5518,/competitions/yelp-recsys-2013,26th
/gabrieleseppi,Simulator executable,"I've just downloaded the simulator from the data page, but I'm afraid a lot of files are not included, namely all the files specified in the app.config file after the basePath parameter... Do we have to create them ourselves? I haven't looked at the code well enough yet to say anything, but I guess they're configuration file of some kind that will affect the final result.",0,None,4,Sat Aug 24 2013 14:17:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5519,/competitions/flight2-milestone,5th
/rkirana,CV - test on final test set,I get 1.159 on CV and 1.29 on leaderboard using the new test set. Want to check if this variation is common before I draw curtains on this competition,0,None,6,Sat Aug 24 2013 21:14:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5525,/competitions/yelp-recsys-2013,26th
/rkirana, can there be a separate leaderboard with old test removed,Current leaderboard is common for old and new submissions. Can we please have a separate leaderboard for the new submissions?Not sure it helps to have old and new on the same leaderboard,0,None,1,Sat Aug 24 2013 22:20:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5527,/competitions/yelp-recsys-2013,26th
/domcastro,Help with R saved models and Random Seed,"I have an annoying problem. I have set all the appropriate seeds and can reproduce exact results after training each run. However, I saved the RF model to file and everytime I load model I get different (but very similar) predictions. I reset the seed after loading the model, but still gives me different predictions each time. As the competitions require exact reproducibility from saved models, I'm having a problem. Any ideas? thanks in advance",0,None,1,Sat Aug 24 2013 23:10:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5528,None,None
/bryangregory,Problem with submissions...?,Anyone else receiving an error when submitting for the last 30 mins or so? Perhaps the admins are resetting the leaderboard. Just want to make sure it's a system problem and not a problem on my end. -Bryan,1,bronze,8,Sun Aug 25 2013 00:57:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5531,/competitions/yelp-recsys-2013,7th
/adamkennedy,"Partial Outage (Logged In Home Page, Submissions, RecSys)","Kaggle is currently experiencing a partial outage of certain parts of our website, specifically those relating to the RecSys challenge, submission processing, and as a side effect, the (logged in) home page. The outage was triggered by a full rescoring of the RecSys submissions, a normal operation we have done many times. However in this instance the rescoring has resulted in a load spike and severe slow down of our database for queries related to the tables touched by the rescoring. As a result, a number of SQL queries which are normally quick are timing out, causing errors for the relevant pages. After investigation, we have decided to take no action regarding this problem in the short term and wait it out. We believe the toxic query causing the slow down will complete in around 15(+-5) minutes, at which time we suspect the database will return to normal speed and the site to normal operation. Attempting to interfere with the problem now may cause unanticipated side effects. Submissions appearing as ""Pending"" are in the queue for processing (currently at around 5,500 submissions) and should complete as submission processing returns to normal. Your submission limits will not be impacted, as limits are based on upload time. More information to follow as it becomes available.",2,bronze,2,Sun Aug 25 2013 03:31:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5533,None,None
/macky86534,Top 25%,"This competition has become really really hard! Only 56 teams on the leaderboard, and I'd bet they are all the top teams in this game. So most of us who have good skills and spent a lot of time on this competition can't even get a 25% in the end. I think it is unfair for all of us who are still working on it.",1,bronze,10,Sun Aug 25 2013 11:19:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5534,/competitions/yelp-recsys-2013,52nd
/domcastro,Is it same training set?,"Hi, Is it just the test set that has changed?",0,None,1,Sun Aug 25 2013 13:19:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5535,/competitions/yelp-recsys-2013,46th
/julesvanligtenberg,"Submission Error: ""Evaluation Exception: Index was outside the bounds of the array.""","When I submit a file I get the error ""Evaluation Exception: Index was outside the bounds of the array."", even when I submit the samplesubmission. Maybe something wrong at the server?",0,None,3,Sun Aug 25 2013 17:27:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5536,/competitions/flight2-milestone,21st
/nitaidean,HF FFT Data only once every second?,"In reference [4], it says that the HF FFT data was computed 244 times per second, meaning I would expect each UNIX timestamp in TimeTicksHF to be spaced apart by about 1/244 = 0.004 sec. However, the actual reality is that each timestamp is spaced apart by 1.0667 sec. Why such low temporal resolution? From [4], it was suggested that we should use sliding window averages of 25 vectors to cancel out the noise - but taking 25 consecutive vectors with this data would mean we only get 2 samples per minute. Am I missing something?",0,None,2,Sun Aug 25 2013 18:02:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5537,/competitions/belkin-energy-disaggregation-competition,None
/sashikanthdareddy,"All outputs variables in file: ""22.csv"" are 0s","I think something went wrong with ""22.csv"" creation as all the rows in this file have 0s for all the output variables.",0,None,1,Sun Aug 25 2013 21:44:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5538,/competitions/battlefin-s-big-data-combine-forecasting-challenge,None
/rkeisler,Fact Sheets / Model Sharing,"Since I don't know where to upload the fact sheet, and since many of us will share our models soon anyway, here's a description of my model. Fact sheet attached too as PDF. Finding Gestures: I search for ~2-second-long regions of high audio-energy to define periods of time that potentially contain a gesture. For the purpose of training, I create a 21st label to signify ""not a recognized gesture"". Features: I use the joint positions and angles above the hips and a log-frequency-spaced spectrogram of the audio data as my features. I down-sample all data onto a 5 Hz grid and use ~2 seconds of data. I subtract the average 3d position of the left and right shoulders from each 3d joint position. Model: I train a random forest and a k-Nearest Neighbor model using these features and the labels. I average the posteriors from these models with equal weight. Finally, I have a simple heuristic (limit the number of gestures, no repeats) to convert these posteriors to a prediction for the sequence of gestures. I use python and scikit-learn throughout. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9017/wweight_fact_sheet.pdf",1,bronze,1,Mon Aug 26 2013 01:36:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5541,/competitions/multi-modal-gesture-recognition,2nd
/phoenixinter,Ground truth validation,"I want to understand more about how the ground truth label is obtained for the training set. For example, there is a training instance for URL: http://xkcd.org/166/ and it has a label of 0. Meanwhile, there is another training instance for URL: http://xkcd.net/458/ which has a label of 1. Both of these URLs are XKCD comics and I think their labels should clearly be the same. Could the organizers reveal a little bit information about how these labels in the training set are now generated?",0,None,10,Mon Aug 26 2013 05:00:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5542,/competitions/stumbleupon,335th
/maheshakya,An approach for the solution,"I think, one approach to solve this would be time series analysis. (Though I don't know much about that). But I don't know how to use that in this particular problem. Is there specific method that we can use in order to solve this kind of problems?",0,None,4,Mon Aug 26 2013 12:59:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5546,/competitions/battlefin-s-big-data-combine-forecasting-challenge,268th
/fbertrand,"Memory issues with Pandas, Python: usable for big data?","Hi! I've been dabbling with the RecSys contest, which uses 200,000-row data sets, and have been running quite often into ""MemoryError"" and similar situation with Python Pandas. I'm running Python in 32-bit under Windows 7 64-bit, and I understand the limitations of 32-bit processes only being able to access 2 GB of RAM (or 4 GB in some cases). However, this is an intolerable situation when dealing with ""big"" data... Is it possible to use the Pandas/Scikit in full 64-bit (i.e. ""unlimited"" memory mode)? I'm guessing this would require installing 64-bit Python, Pandas, Scikit and all their other dependencies. There are a few of those, which is why I'm asking before entering this endeavor. :) Not to mention I'm using Python for work currently, so I can't disturb my 2.6 environment too much (hopefully I can run multiple versions side-by-side?) On a side note, trying to use sparse DataFrames seems to be creating a couple more issues. Is anyone using these? Thank you! Francois",0,None,3,Mon Aug 26 2013 13:41:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5547,None,None
/rahuldeora91,Use of the Fields,"Can someone explain me the use of the fields here to predict the percentage change in the price. I think that the price of the securities will automatically get adjusted as the news arrives. So, if we are trying to predict the percentage change in the price at 4:00 PM ET it doesn't make sense to incorporate the values of the fields till 1:55 PM. Suggestions are invited?",0,None,1,Mon Aug 26 2013 16:16:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5549,/competitions/battlefin-s-big-data-combine-forecasting-challenge,None
/edramsden,Efficient Market Hypothesis,It's starting to look like this competition might turn into a good confirmation of the efficient market hypothesis. Five more weeks to go to prove this wrong! EdR,0,None,7,Mon Aug 26 2013 18:57:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5550,/competitions/battlefin-s-big-data-combine-forecasting-challenge,3rd
/jonazz,Can't beat public test benchmark,"I was wondering if someone might share their cross-validation performance on the training set because I feel like I have a good approach but I can't figure out where I'm going wrong. Taking the last value benchmark on the training set yields about 0.60 (can someone confirm this?). With my model I was able to get this down to about 0.38 (3-fold cross-validation). On the public test set I'm not even beating the benchmark (0.43 vs 0.42). I know I should know better than trust scores on the public test set, but is anyone else noticing the same thing?",0,None,8,Mon Aug 26 2013 21:58:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5551,/competitions/battlefin-s-big-data-combine-forecasting-challenge,136th
/phantom39736,Miami Event Details (Oct 24-26 South Beach),"Here are the preliminary event details. I hope that you can see them. Please check out Casa Tua (where the after party will be held), SET Night Club (where the event will take place) and the Loews Hotel (where contestants will stay).The event is getting a lot of press!!! Any questions please contact me offline at bt@battlefingroup.com. I would be happy to answer any questions you many have in detail. Thanks for participating in our contest and apologies for not getting this up sooner. I wish you all the best of luck and hope to see you in Miami!! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9021/Event.pdf",0,None,1,Mon Aug 26 2013 23:41:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5552,/competitions/battlefin-s-big-data-combine-forecasting-challenge,None
/bryangregory,Duplicate Account?,"I hate to call anyone out as this is a mostly academic contest, but this one is too obvious to overlook: we have a competitor ranked #6 (now #9 this morning) that just joined Kaggle 12 hours ago and has made a grand total of 4 submissions for the entire contest (and actually 4 submissions across their entire Kaggle career). That's 12 hours to download the data, familiarize themselves with it, load the data, divide it into the proper subsets required for this diverse data set, tease out the many data inconsistencies and nuances, come up with the many models necessary for each subset, and then fine tune them well enough to immediately leap into the Top 10. And bear in mind this contest's dataset is extremely difficult to run cross-validation on, so the chances of someone being able to miraculously come up with Top 10 models with only 4 total chances at leaderboard feedback are nil. Can anyone say BS? Unless I'm REALLY missing something, this is definitely a duplicate account or a friend of a competitor that has been given prior knowledge/models to work with.",0,None,4,Tue Aug 27 2013 04:41:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5556,/competitions/yelp-recsys-2013,7th
/sescalera,Fact sheets: urgent,"Dear participants. We did not receive the fact sheets of some of the teams that submitted their predictions to the test set. In particular we detected the following ones: SUMOJOEWANSTEVENWUDIMILAN KOVACTELEPOINTSDANIELSCHULZJACKSPARROWIAMKHADERTHAKURRAJANAND We kindly ask those teams to send their fact sheets as soon as possible to mmgesture@chalearn.org Additionally, we kindly ask any team that participated on the validation set but did not submit predictions on the test that also provide us the fact sheet summarizing their methods. It would help us to summarize and compute statistics about the features and methods considered by the participants. Thank you for your participation and we hope you enjoyed the challenge. We will get you back soon to show the final ranking results of the challenge once fact sheets and codes are verified. Sergio Escalera",0,None,5,Tue Aug 27 2013 10:07:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5558,/competitions/multi-modal-gesture-recognition,None
/phoenixinter,Anyone trying to fill in those webpages with no Alchemy categories?,"I'm wondering whether anyone has paid any effort in trying to fill in those URLs for which Alchemy categories and scores are shown as ""?"". It seems some of these URLs are now dead or showing different content from what the training set says so if anyone is working on this direction can you please share some of your ideas / thoughts?",0,None,11,Wed Aug 28 2013 00:07:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5563,/competitions/stumbleupon,335th
/blindape,How to play with the toy?,"Well, after several days with the toy this is some personal reflexions. We have an open code in a 'new' (for nearly all) language. It's a live code, with a great intrinsic complexity, with frequents releases in future which will add new features and restrictions. I think in two possible approach to the problem: - Modify directly the F# code for include in the simulator the optimizer. Sincerely, after read the F# and some tutorial, I don't want to do something complex (the optimizer) in a host complex and live (the simulator) with a tool I don't know (F#)... in a month. - The other approach is do the optimizer in python / pascal and use the simulator only for check solutions (check a lot of solutions...) This have other problems. The main we need traslate the logical of simulator to the new code (cost models, fuel models, weather, ...). Any minor bug in translation and all the work would be a waste of time. Otherwise I don't like the idea of test solutions massively in a race where 'the more (submissions) is the better'. With the Toy we have unlimited submissions... What is I think most of us need? A Black-box we can embbed in our programs. I need a blackbox that I can introduce the actual state of a flight (time, weight, fuel, position, altitude), a fly leg and the blackbox give me the new state: (time, weight, fuel, position, altitude). I don't need a simulator give me the average for all the flights for all the fly legs: I had this with the submission feature. I would like to know your opinion. How GE & Kaggle thought we were going to do? Is time to try fix this? Other reflexion, Why do you think there are so relatively few participants in this challenge? Seems no more than 20 actively working. It's amazing, good prizes... What is the problem?",4,bronze,5,Wed Aug 28 2013 21:45:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5570,/competitions/flight2-milestone,22nd
/jonavner,Joining with other data sets,"This is my first Kaggle competition and I realize it's a little unique in that all the results as well as much more data on the passengers can actually be found on the web. I have several questions on what is considered reasonable things to do and what would be thought to violate the spirit of the competition: Is it okay to add properties derived from other data sets, such as the job a passenger held, whether they were crew or not, etc., or to fill in missing properties? I know it's spelled out specifically in the rules that looking up the actual survival data is not to be done, and I can understand how it would make things completely pointless to use that data to train a model, but what about using it just for the test set validation part? The purpose of doing that would be to allow quicker iteration and tuning over different algorithms, rather than having to submit to Kaggle each time just to get a real evaluation. It would not be used to directly drive the algorithm, though. Is that still considered off-limits, or would it be okay?",0,None,2,Thu Aug 29 2013 06:43:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5574,/competitions/titanic,None
/datanovah,what is the chance of a newcomer like be winning the price,"hi, i'm a boy from Shanghai who has received a bachlor's degree in math and has learned all CS undergraduate courses both in school and coursera / udacity. the thing i'm lacking is the experience of working with real data. so anyone can answer the question that's posted in the title?",0,None,3,Thu Aug 29 2013 13:57:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5575,None,None
/andrewmatteson,Public vs. Private test sets,Is the public vs. private test set a 30/70 split that's completely random? Is it perhaps a 30/70 split of the days or 30/70 split of the stocks? I want to make sure I'm validating in a reasonable way.,0,None,1,Thu Aug 29 2013 21:11:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5578,/competitions/battlefin-s-big-data-combine-forecasting-challenge,99th
/jacobj,The Hint Thread,"I'm doing okay so far; 9th place as of this post (though my score won't keep me anywhere near the top 10 by the time the comp ends, I know). 9 ↑1 JacobJ 0.41754 10 Thu, 29 Aug 2013 00:05:09 But anyways, I thought I'd give a hint to the people having a hard time beating the benchmark: 1) My current solution uses only the last security price of the day each day. None of the first 54 time intervals are used; none of the ""features"" are used. This won't win the competition, but it gives a surprisingly good start. 2) If you are using a method with an L2 (least squares) loss, you will get horrible results. The outlying stocks will ruin your predictor. It is vitally important to use L1 loss. Good luck, submit your own hints!",14,gold,75,Fri Aug 30 2013 00:19:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5582,/competitions/battlefin-s-big-data-combine-forecasting-challenge,44th
/edunov,Can I use a list of female/male names?,"Hi Competition Admins, Is it ok to use a list of female/male names such as this one? http://www.census.gov/genealogy/www/data/1990surnames/names_files.html",0,None,2,Fri Aug 30 2013 01:03:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5583,/competitions/yelp-recsys-2013,4th
/sayan21,Submission Error,"Hi, The Submission parser is not accepting the sampleSumbission.csv file present in the Data section. I kept my file in the format, so cannot do any submission. Is anyone facing the same problem? Is there any remedy? Thanks, Sayan",0,None,1,Fri Aug 30 2013 04:55:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5585,/competitions/yelp-recsys-2013,154th
/herimanitra,Question about Revolution R,"Hi Kagglers from all around the World, I wonder what makes Revolution R suitable for big data analytics?? I'm asking this question because I'm using R and I experience memory issue when running models or reading ""big"" files when the workspace reaches a certain level (600Mo). To avoid overcharge the workspace, I, sometimes, convert files into xdf format but it does not solve all problems.",0,None,1,Fri Aug 30 2013 07:03:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5586,None,None
/cjbayesian,Information in the ordering of securities?,"In my usual early phase of analysis that I call PLOT ALL THE THINGS!, I found something kind of interesting that I thought I'd share. When looking at the price movements in the last two hours of each day in the training set, it looks as though there is some information contained in the ordering of the securities as defined in the data (O1-O198). Specifically, the correlation structure seems to have some periodicity, at least for the first 150 or so securities. Here are a few example days where it is particularly noticeable: I'm not quite sure what to make of this, and the periodicity is not perfect (distance between highly correlated peaks is not exactly the same everywhere). My thought is that the securities were selected one per industry/asset class then repeated. I do not yet know how this apparent pattern might help. It's not clear whether this would provide anything above and beyond the correlation structure of the entire collection of securities. Just thought I'd put it out there. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9045/day31.png",2,bronze,2,Fri Aug 30 2013 14:38:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5589,/competitions/battlefin-s-big-data-combine-forecasting-challenge,364th
/bborisov,More than one person per team,Is it possible to have more than 1 person per team? Thanks - I didn't get this from the challenge's description,0,None,4,Fri Aug 30 2013 22:34:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5591,/competitions/facebook-recruiting-iii-keyword-extraction,None
/adrianseeley,Number of Train/Test Cases? (nested CSV issues),Does anyone have a definitive count on train and test cases?It seems as there might be some nested CSV data that's causing some unintended parsing.,0,None,9,Fri Aug 30 2013 23:43:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5594,/competitions/facebook-recruiting-iii-keyword-extraction,None
/robertramey,Boost Software License,Please consider adding the Boost Software License to your list of approved licenses. The Boost C++ libraries are the most widely used libraries used for cutting edge development in C++. Not permitting Boost C++ libraries to be used would constitute a severe (an unnecessary) for participants in your contest which use C++. More information is available at these links: [Link]:http://www.boost.org/users/license.html [Link]:http://en.wikipedia.org/wiki/Boost_Software_License [Link]:http://www.gnu.org/licenses/license-list.html,0,None,2,Sat Aug 31 2013 06:50:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5596,/competitions/flight2-milestone,None
/ilikeprivacy,Any plans to improve download speeds in Aus?,Any plans to improve download speeds in Aus? Downloading the larger datasets is always a pain :( I end up having to pull the files down to a US server and transferring again from there.,0,None,17,Sat Aug 31 2013 07:00:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5597,/competitions/facebook-recruiting-iii-keyword-extraction,307th
/thakurrajanand,Breaking Train data into 4 files,Is it Possible for the Competition Host to break train data into 4 files so that it become easy to read data into R. I know colbycol package can be use to read particular percentage of data but it is causing differnce in number of rows read for each column,0,None,3,Sat Aug 31 2013 11:49:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5599,/competitions/facebook-recruiting-iii-keyword-extraction,164th
/ericgrig,When the last measurement - in 2 hours or in 2 hours 5 minutes was carried out?,"Hi ! Dear colleagues, I ask to answer the following question (It is important): Judging by the text provided in the section “Get the Data”: - during the day penultimate measurement from a reference mark is made in 1:55 PM ET - after that one last measurement is carried out in 4 PM ET - it means that passed 2 hours 5 minutes from the moment of penultimate measurement, therefore we are asked to predict the outputs 2 hours 5 minutes later. Whether correctly I understand that the phrase: ” You are asked to predict the outputs 2 hours later, at 4PM ET.” is a mistake and actually we deal with the data received through 2 hours and 5 minutes later? ... text from section ""Get the Data"" ... The timestamps within each file are as follows (ignoring the header row): Line 1 = Outputs and inputs at previous day's close (4PM ET)Line 2 = Outputs and inputs at current day's open (9:30AM ET)Line 3 = Outputs and inputs at 9:35AM ET...Line 55 = Outputs and inputs at 1:55PM ET You are asked to predict the outputs 2 hours later, at 4PM ET. Thanks! Eric Grig , ericgrig@gmail.com",0,None,3,Sat Aug 31 2013 16:24:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5602,/competitions/battlefin-s-big-data-combine-forecasting-challenge,387th
/sashikanthdareddy,SQL Script to load data into PostgreSQL DB,"I find PostgreSQL to be extremely versatile to manipulate data ( albeit at a slower speed) so, I've loaded this data using the following script without any issues. I've also posted summary stats here: http://www.kaggle.com/c/facebook-recruiting-iii-keyword-extraction/forums/t/5605/extended-summary-stats-for-the-data-provided CREATE TABLE RAW_TRAIN(ID BIGINT PRIMARY KEY,TITLE TEXT,BODY TEXT,TAGS TEXT);copy RAW_TRAIN from 'D:\\FacebookIII\\Data\\Train.csv' csv header;/*Query returned successfully: 6034195 rows affected, 1072534 ms execution time.*/ CREATE TABLE RAW_TEST(ID BIGINT PRIMARY KEY,TITLE TEXT,BODY TEXT);copy RAW_TEST from 'D:\\FacebookIII\\Data\\Test.csv' csv header;/*Query returned successfully: 2013337 rows affected, 116390 ms execution time.*/",16,silver,14,Sat Aug 31 2013 23:30:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5606,/competitions/facebook-recruiting-iii-keyword-extraction,None
/raze2dust,Use of external modules/data,"Similar questions have been asked before, but I am still not clear about it. Specifically, what I want to know is: 1) How is 'external data' defined? Can I have a file containing stopwords in my submission? Can I use the unix words list? Can I download a list of words from somewhere else and use it? 2) Can I use existing NLP packages or modules in my code? What if some of these modules use data that might be considered external? e.g, can I use the nltk library in python? Can I use the stopwords corpus that comes with it? I understand the intent behind the rule, but I am new to Kaggle competitions and to NLP/Information retrieval competitions, so I am not sure to what extent it is applicable. Please help me out here. Thanks!",0,None,11,Sun Sep 01 2013 07:02:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5609,/competitions/facebook-recruiting-iii-keyword-extraction,None
/weidongliang,Need Clearification for Scoring,"In the evaluation section it says ""To receive credit, the tag you predict must be an exact match"" In the case of the correct tags is ""javascript html css"", if we produce the prediction of ""javascript"", is it counted as 1 true positive, or as 1 negative? And if the prediction is ""javascript html css"", the evaluation result is it 1 true positive or 3 positives? Are the tags produced evaluated separately for each question, or the combination is evaluated?",0,None,7,Sun Sep 01 2013 10:48:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5610,/competitions/facebook-recruiting-iii-keyword-extraction,None
/sashikanthdareddy,Does order of Tags matter?,"From the evaluation page: To receive credit, the tag you predict must be an exact match, regardless of whether you believe the tags are synonyms Following is one of the examples given under the ""submission instructions"" section: Id, Tags 2,""php python mysql"" Would I receive credit if I predict: Id, Tags 2,""python mysql php""",0,None,1,Sun Sep 01 2013 10:52:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5611,/competitions/facebook-recruiting-iii-keyword-extraction,None
/dantparry,Where is the Stock News Data,The competition suggests that they are looking for a sentiment analysis model but I do not see the news data files.,0,None,5,Sun Sep 01 2013 14:59:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5614,/competitions/battlefin-s-big-data-combine-forecasting-challenge,240th
/dime123432,Team Formation,I am trying to create a new team and invite a friend. Could anybody walk me through the necessary steps in order to accomplish that? Thanks,0,None,1,Sun Sep 01 2013 19:24:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5615,/competitions/battlefin-s-big-data-combine-forecasting-challenge,None
/amyxu123374,problem with download,"My Flashget doesn't work for downloading from the link, I have to use ""save as"", but it was too slow and kept breaking up, finally the training file that I downloaded turned out to be destroyed and couldn't be unzip. Really frustrated. Could anyone shed some idea about downloading the training file except ""save as""? Really appreciate it.",0,None,4,Mon Sep 02 2013 16:46:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5621,/competitions/facial-keypoints-detection,None
/vsu1664,Grockit post-Challenge submission system,will it be possible to activate back the Grockit submission system? I would like to test something (just an academic interests).. -Thanks,0,None,1,Mon Sep 02 2013 18:51:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5622,/competitions/WhatDoYouKnow,15th
/zatopek,Kaggle Users in Bangalore,"Hi, I'm a novice here. My only background in Data Science is Andrew Ng's Machine Learning course. I am looking to start participating in Kaggle competitions. If anybody here is from Bangalore and has the time to share his/her expertise, please do let me know. Thanks!",0,None,5,Mon Sep 02 2013 19:22:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5624,None,None
/matthewe,Purpose with Accuracy So High,"I just began looking at this competition today and familiarizing myself with the material. Reading through the slide deck, if the accuracy is already so high and devices can be identified with incredible accuracy, what is this competition trying to accomplish? Or am I missing something?",1,bronze,4,Mon Sep 02 2013 22:18:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5626,/competitions/belkin-energy-disaggregation-competition,None
/coolkaggle,Please share R Code with Random Forest or Logistic Regression score above 0.9 from a single model,"Hi Everyone, I am new to the forum and first of all thanks to all for valuable discussions. I have been looking forward to see Random Forest or Logistic Code in R which was able to achieve score > 0.9 from a single model.Apologies, in case someone has already shared the R Code. Please direct me there if available. Look forward to your response.Thanks a lot",0,None,1,Tue Sep 03 2013 06:51:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5630,/competitions/amazon-employee-access-challenge,1035th
/chitrasen,data handling in R Vs Pig,"When I took a sample from Train.csv and loaded into pig using PigStorage(',') function, I am not the columns properly (miss placed ) as there are commas in the text message. However while loading the same data in R using read.csv function, it worked. The problem is R cannot handle such a big file, so I am trying to process using pig. Please suggest how you are handling the dataset.",0,None,18,Tue Sep 03 2013 08:52:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5631,/competitions/facebook-recruiting-iii-keyword-extraction,125th
/toulouse,ROC curve,"Hi! I was wondering which metric was the best to fit the""area under the ROC curve"" criteria: The mean absolute error (MAE) or the mean squared error (MSE) ? If you have any idea, thanks by advance...",0,None,2,Tue Sep 03 2013 17:04:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5636,/competitions/stumbleupon,404th
/benhamner,Welcome,"We're excited to launch this recommendation engine competition with [Link]:http://www.expedia.com/ and [Link]:http://icdm2013.rutgers.edu/! To get started, download the data and sample submissions from the [Link]:https://www.kaggle.com/c/expedia-personalized-sort/data. Starter Python code to create the benchmarks is [Link]:https://github.com/benhamner/ExpediaPersonalizedSortCompetition. Good luck on the competition, and we hope you have fun with it!",0,None,3,Tue Sep 03 2013 19:08:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5638,/competitions/expedia-personalized-sort,None
/diogo149,Sharing Methods,"Since this is a research competition, I thought it would be awesome if we could share our methods so that hopefully the next person could do even better. I felt that an AUC of 0.85+ would be possible, especially after reading the forums. I'm not going to bother mentioning the tricks that I figure everyone else did. As a side note, my motivation for entering the competition was to do more research into some automatic feature creation algorithms and publish an open source library, so pretty much all of my work focused on features. What I think I did well: 1. Created lots of features. My final model, before feature selection, had almost 9000. 2. Compared Apples to Apples. I made sure that comparisons between input types (numerical, categorical, binary) were consistent. 3. Handmade features. Made a couple of features to proxy a ""vertical line test"" (essentially local variance). 4. Feature Selection. I made a genetic algorithm to do feature selection. This improved performance, though it wasn't necessary since my submission without feature selection still scored 0.817. What I didn't do (that I probably should have): 1. Use any of the previous research. I read in the forum about all of these models in another thread (ANM, PNL, LINGAM, IGCI, etc.) when the competition was almost over, and I didn't want to bother including and that probably could have helped a lot. 2. Use more of the public info. I didn't use the four-way division at all, though I could have probably extracted more features out of it. 3. Create more features and ensemble. I was confident that doing this could have improved my score, but I was too distracted working on previously mentioned library to do so. This almost cost me the competition, hence my score plateauing in the end. 4. Test the impact of features that I added and made more that are similar. I'm unsure if this would be optimal. I feel like this should be done automatically, but since I don't have the ability to do so (yet), it probably could have helped tune the features more.",10,silver,16,Tue Sep 03 2013 23:43:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5643,/competitions/cause-effect-pairs,1st
/adamwoz, Welcome to the Expedia - ICDM 2013 prediction challenge,"Hi everyone, Thank you for your interest in the ""Personalize Expedia Hotel Searches - ICDM 2013"" prediction challenge. Should you have any questions related to the challenge, please contact us through this forum. Good luck! Adam Woznica (on behalf of the Expedia Team)",0,None,4,Wed Sep 04 2013 10:14:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5647,/competitions/expedia-personalized-sort,None
/thakurrajanand,Code To read Train dataset in R,"library(ff) train <- read.csv.ffdf(file=""Train.csv"",header=TRUE,VERBOSE=TRUE,first.rows=10000,next.rows=10000,colClasses=NA) It took 37 min to read the file in R",4,bronze,11,Wed Sep 04 2013 22:52:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5654,/competitions/facebook-recruiting-iii-keyword-extraction,164th
/ferg96,Multinomial regression for missing alchemy categories,Has anyone implemented or given thought to modelling out the missing categories and scores to improve their scores. I am in the middle of such an exercise and wanted to hear others opinions.,0,None,1,Thu Sep 05 2013 15:50:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5660,/competitions/stumbleupon,506th
/sandros,PAcific time & time zone of training1_asdiposition.csv,"Hi, I am wondering about the different times, also because it sees to me that FlightStatsDataDictionary.xlsx does not describe the zones right. Question1) First of all what is pacific time, wikipedia says pacific time zone is UTC-8 and in daylight-saving UTC-7 (since the data is in June, it would be UTC-7 AND UTC-8, since if I remember correctly daylight-saving starts the 21. of June) Question2) Short version: the times in training1_asdiposition.csv are said to be pacific, but they seem to rather UTC. Is this a mistake in the description? Long version and motivation of question2: Here is an example from one plane throughout the different files from FlightQuest2DataRelease1_AggregateTrain.7z: You may SKIP all this and just look at my conclusion at the end, if you have not much time. I pick a random entry from traning1_flighthistory.csv: 299112639,DL,DAL,55,ATL,KATL,IAH,KIAH,2013-06-08 11:25:00+00,2013-06-08 13:28:00+00,2013-06-08 11:25:00+00,,2013-06-08 13:28:00+00,,2013-06-08 11:34:00+00,2013-06-08 11:33:00+00,2013-06-08 13:14:00+00,2013-06-08 13:10:00+00,I,100,123,-4,-5,319,,A319 the xlsx-file does not say anything about the time format here, but one can see that the airports are at UTC-4 and UTC-5 respectively. Then I look at the entries in training1_flighthistoryevents, xlsx says recorded times are in pacific time, it says nothing though about the format in data_updated field (NB:I truncated the full list of events for this flight): 2558186,299112639,2013-06-05 01:04:00.672+00,RecordCreated,5246859,299112639,2013-06-07 11:30:59.193+00,Time Adjustment,""SRD- New=06/08/13 07:34, ERD- New=06/08/13 07:34, SRA- New=06/08/13 08:14, ERA- New=06/08/13 08:14"" [...] 6460097,299112639,2013-06-08 13:18:19.602+00,STATUS-Wheels Down,""ARA- New=06/08/13 08:10, STATUS- Old=A New=L"" 6840821,299112639,2013-06-08 21:26:20.525+00,Gate Adjustment,AGATE- New=15 Then I compare to ScheduleRunwayDeparture from training1_flighthistory.csv (i.e. 2013-06-08 11:33:00+00) to the (first) one in data_update fields (SRD- New=06/08/13 07:34). Knowing (also from training1_flighthistory.csv) that the departure airport is at UTC-4 implies that datetime in training1_flighthistory.csv is UTC time and hence data_update_fields in training1_flighthistoryevents is local time of the airport (one can double check this by checking that the arrival times have indeed a UTC-5 shift, like entry in training1_flighthistory.csv says). So far so good, then I look at the asdiflightplan (xlsx says everything a part recorded time (2nd col) is UTC, recorded time beeing pacific): 81358634,2013-06-07 11:25:44+00,299112639,ATL,IAH,DAL55,KATL.JOGOR5.GARND..JYU..SJI.WOLDE3.KIAH,2013-06-08 11:25:00+00,2013-06-08 11:34:00+00,2013-06-08 13:28:00+00,2013-06-08 13:14:00+00 Hence estimateddeparture_utc is 2013-06-08 11:34:00+00, which is in agreement with the preceeding conclusions. Then I look at training1_asdiposition.csv, xlsx says time received is in pacific time (NB: truncated output): 6113801,2013-06-08 11:34:36+00,DAL55,3500,463,33.6300010681152,-84.4800033569336,299112639 6114280,2013-06-08 11:34:52+00,DAL55,4000,210,33.6500015258789,-84.5,299112639 6115739,2013-06-08 11:35:36+00,DAL55,6900,349,33.6500015258789,-84.5699996948242,299112639 6116442,2013-06-08 11:35:58+00,DAL55,8500,267,33.6699981689453,-84.5999984741211,299112639 6117670,2013-06-08 11:36:36+00,DAL55,10700,273,33.6699981689453,-84.6500015258789,299112639 [...] By looking at the altitude evolution (and also that it corresponds to the first 5 entries) it is clear that this is during the ascent. But comparing to all times in the other files, the time here smells a lot like UTC and not like pacific time. First entry is 2013-06-08 11:34:36+00, which I assume to be right after takeoff. CONCLUSION: traning1_flighthistory.csv: times are in UTC --> Ok, xlsx says nothing training1_flighthistoryevents: data_updated field,local airport time --> Ok, xlsx says nothing about it training1_asdiflightplan: dep. & arr. times UTC --> OK, like xlsx says training1_asdiposition.csv: times seem UTC -->PROBLEM, xlsx says it is pacific. Regards, Sandro",0,None,3,Thu Sep 05 2013 15:56:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5661,/competitions/flight2-milestone,99th
/dantparry,Archive of Kaggle Compeititon WInning Models,"Hey, I like to use what has worked in the past for inspiration as to what I can do in the future. Is there a website which has archived the code/documentation for past winners? Dan",0,None,2,Thu Sep 05 2013 19:55:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5666,None,None
/abhishek,how do I cross validate?,can anybody throw some light on this topic?,0,None,8,Thu Sep 05 2013 22:52:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5667,/competitions/expedia-personalized-sort,47th
/noamtene,What units are used in the HF data,"Based on the reference papers, I assume that the HF data is based on frequency analysis of the voltage transients but it is not clear what units they are in, how they were normalized or even what is being measured. Are we looking at: Amplitude? Amplitude squared? log? Db?",0,None,2,Fri Sep 06 2013 01:16:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5668,/competitions/belkin-energy-disaggregation-competition,3rd
/noamtene,I can not access my submissions,"Going to the ""My submissions"" seems to take me to the ""make a submission"" window instead of showing my previous submissions. Has anyone else experienced this problem?",1,bronze,2,Fri Sep 06 2013 02:43:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5669,/competitions/belkin-energy-disaggregation-competition,3rd
/heisenbug,Click on 'My Submissions' goes to 'Make a Submission' instead,"Hi, There seems to be an issue today (last 2 hours) on the this competition whereby clicking 'My submissions"" does not show my previous submission and their scores, but goes to 'Make a submission page direct'. This behaviour is cross-platform and cross-browser. Same result with Mac+Chrome, Mac+Safari, Windows7+Chrome. Serge",0,None,2,Fri Sep 06 2013 04:00:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5671,/competitions/accelerometer-biometric-competition,150th
/davidthaler,Unsupervised learning on test set,"I always ask this in every competition, and I always get the same answer ('yes'... because 'no' would be unenforceable), but the rules are still silent on it, so I'll check again: Is the use of the test data for unsupervised learning/feature learning allowed or not?",0,None,2,Fri Sep 06 2013 06:13:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5672,/competitions/belkin-energy-disaggregation-competition,None
/ydhiman,How to import 2.19 GB data in R in low configuration machine ? ,"Windows 7 , 4 - 8 GB RAM , 2.2 GHz, Dual Core taking infinite to import . Any suggestion on how to manager the import in chunks or method to overcome if using low configuration machine. Takes infinite for importing how much it will for predicting. :). Thanks !",0,None,4,Fri Sep 06 2013 08:30:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5673,/competitions/expedia-personalized-sort,None
/vinothraj,Need your help chaps - what to do,"I am a new bee to this network, I understood the target but I dont understand what we have to do exactly. For ex: Do we need to create a coding in some application and need to give or just analyse and create algorithm is enough? Kindly please someone help me what we need to do here. Thanks a lot in advance. Ps: I read Kaggle's (how its working) but still not clarified.",0,None,3,Fri Sep 06 2013 11:59:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5677,/competitions/facebook-recruiting-iii-keyword-extraction,None
/domcastro,Bug in My Submissions,"Hi, Just to make you aware the My Submissions link takes you to ""Make a Submission""",3,bronze,3,Fri Sep 06 2013 13:36:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5678,/competitions/stumbleupon,272nd
/domcastro,"Fed up with ""Beating Benchmark"" code","Anyone else getting fed up of trying hard and then having someone post a ""beat the benchmark"" code - so pretty much your one opponent turns into 200. What happened to original thought. There's one thing ""learning"" and but this has gone too far. Each time I am FORCED to run all these benchmarks just to get back into. I would prefer to compete against intelligent people rather than a bunch of people who just submit other people's code. So really are you a genuine competitor or do you just hang around using other people's code and change the seed? Enter the Knowledge competitions if you have such a need to help others",2,bronze,42,Fri Sep 06 2013 18:06:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5681,None,None
/ericchio,Sharing the elevation of the GEFS data points,"Hi all, For each GEFS data point, I queried Google Elevation service to get the values. It is mostly accurate (sampling!) to just like 0.01 ~ 0.001 decimal places, which should not affect much. Hope this is helpful to anyone out there. Attached as CSV. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9090/gefs_elevations.csv",2,bronze,5,Fri Sep 06 2013 19:46:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5682,/competitions/ams-2014-solar-energy-prediction-contest,64th
/masonjar,Issue w/ submission for Titanic (newbie),"I followed the tutorial directions to make first submission of titanic analysis with excel. When I submitted this error list came up. I have no idea how to correct this....should I just retry to see if it happens again? Column 'Pclass' was not expected (Line 1, Column 22)Column 'Name' was not expected (Line 1, Column 29)Column 'Sex' was not expected (Line 1, Column 34)Column 'Age' was not expected (Line 1, Column 38)Column 'SibSp' was not expected (Line 1, Column 42)Column 'Parch' was not expected (Line 1, Column 48)Column 'Ticket' was not expected (Line 1, Column 54)Column 'Fare' was not expected (Line 1, Column 61)Column 'Cabin' was not expected (Line 1, Column 66)Column 'Embarked' was not expected (Line 1, Column 72)0.00000",0,None,2,Sat Sep 07 2013 03:24:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5685,/competitions/titanic,None
/herimanitra,Interpolation with R,"For R-users, here is a function which loads data with specified grid in order to avoid memory issue (because I've never been able to run python translated code into R provided by some competitors): datagrid_selection= function (dataname='apcp',filename='apcp_sfc_latlon_subset_19940101_20071231', lat=1:16, long=1:9, hours=1:5, gefs=1:11, nrow=5113) { setwd(""your working directory/"") mygrid=expand.grid(lat, long, hours, gefs) dataname <- nc_open(paste(filename,"".nc"",sep="""")) for ( g in 1:nrow(mygrid) ) { cat( paste(""GRID N°"",g,sep="""") , '\n') if ( g!=1) { data= cbind(data, ncvar_get( dataname,dataname$var[[3]],start=c(mygrid[g,1],mygrid[g,2],mygrid[g,3],mygrid[g,4],1), count=c(1,1,1,1,nrow) ) ) } else { data=ncvar_get( dataname,dataname$var[[3]],start=c(mygrid[g,1],mygrid[g,2],mygrid[g,3],mygrid[g,4],1), count=c(1,1,1,1,nrow) ) } } return (data) } But now, how to interpolate? I'm not far from the solution because one can access latitude and longitude using: ncvar_get(dataname, 'lon') ; ncvar_get(dataname, 'lat') but some fragments of code remain unclear to me",1,bronze,1,Sat Sep 07 2013 09:41:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5686,/competitions/ams-2014-solar-energy-prediction-contest,5th
/upulbandara,How to combine original features with text features,"Hi All, My score remained at 0. 87888 since last weekend (approach: TF-IDF transformed boilerplate texts, stopped words are removed and Logistic Regression with Grid Search for hyper-parameter optimization). So I assumed that other are using original features in addition to boilerplate texts. Therefore, I decided to combine original features with text and my approach is given below. Original features are transformed using MinMaxScaler() method of Scikit’s prepossessing library. Next, I ran several iterations of my algorithm with text features and all two, three, four, etc. possible combinations original features. Unfortunately, this approach did not show any improvement of my AUC and actually it’s AUC was little less than 0. 87888. It seems like this approach has a big flaw. So I would like to know what is the correct way of combining text and original features. Thank you in advance",0,None,1,Sat Sep 07 2013 09:44:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5687,/competitions/stumbleupon,76th
/domcastro,Interesting competition,This is going to be an interesting competition. I like competitions that are different. It's reminding me of the really fun Dunn Humby shopping one a couple of years ago (anyone remember that one?). Now to figure out the best approach....,0,None,1,Sat Sep 07 2013 13:38:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5688,/competitions/expedia-personalized-sort,184th
/droter0,Competition Question,"Hi, I have a list of historical stocks with date entry and target. What is the best way to run a competition for a filter on these that would tell me which ones have the highest chance of success and how long to stay in the trade? I use python, sci-kit, pandas. Thanks for your suggestions, Matt",0,None,4,Sat Sep 07 2013 20:00:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5691,None,None
/abhilashdighe,Error in Submission Format,"Hi, I am getting the following error while submitting my results file: Column 'FileId O1 O2 O3 O4 O5 O6 O7 O8 O9 O10 O11 O12 O13 O14 O15 O16 O17 O18 O19 O20 O21 O22 O23 O24 O25 O26 O27 O28 O29 O30 O31 O32 O33 O34 O35 O36 O37 O38 O39 O40 O41 O42 O43 O44 O45 O46 O47 O48 O49 O50 O51 O52 O53 O54 O55 O56 O57 O58 O59 O60 O61 O62 O63 O64 O65 O66 O67 O68 O69 O70 O71 O72 O73 O74 O75 O76 O77 O78 O79 O80 O81 O82 O83 O84 O85 O86 O87 O88 O89 O90 O91 O92 O93 O94 O95 O96 O97 O98 O99 O100 O101 O102 O103 O104 O105 O106 O107 O108 O109 O110 O111 O112 O113 O114 O115 O116 O117 O118 O119 O120 O121 O122 O123 O124 O125 O126 O127 O128 O129 O130 O131 O132 O133 O134 O135 O136 O137 O138 O139 O140 O141 O142 O143 O144 O145 O146 O147 O148 O149 O150 O151 O152 O153 O154 O155 O156 O157 O158 O159 O160 O161 O162 O163 O164 O165 O166 O167 O168 O169 O170 O171 O172 O173 O174 O175 O176 O177 O178 O179 O180 O181 O182 O183 O184 O185 O186 O187 O188 O189 O190 O191 O192 O193 O194 O195 O196 O197 O198' was not expected (Line 1, Column 1)Required column 'FileId' could not be foundRequired column 'O1' could not be foundRequired column 'O2' could not be foundRequired column 'O3' could not be foundRequired column 'O4' could not be foundRequired column 'O5' could not be foundRequired column 'O6' could not be foundRequired column 'O7' could not be foundRequired column 'O8' could not be foundRequired column 'O9' could not be foundError limit reached. Further Error messages will be suppressed I have tried copying my numeric values into the sample submission file without changing the column names and it still gives the same error. All my outputs are in the floating number format and have around 10 decimal places. Any suggestions?",0,None,2,Sat Sep 07 2013 22:21:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5693,/competitions/battlefin-s-big-data-combine-forecasting-challenge,304th
/chrisciancio,0.76555 w/ RapidMiner random forest,"New to the munging process and had the best results so far with RM. I still put the data back into LibreOffice to do an 'if' statement with the RM classifier column so obviously more to learn. I've had trouble understanding R and Python to get the model (such as mine is) to apply to the test set and write out. I've discovered my disgust with the smorgasbord of Python distros and packages clogging up my PC but refusing to work with one another. I like the Python syntax and it seems powerful but I am through wasting time with 452,349 essentially different programs trying to work with each other under the banner of 'Python'. Now trying R and hope to get to Octave before contest ends.",1,None,5,Sat Sep 07 2013 23:13:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5694,/competitions/titanic,None
/speculation,date_time variable,"I'm a little confused about the 'date_time' variable. Is this browser time, server time, UTC, PST, or something completely different?",0,None,1,Sun Sep 08 2013 01:21:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5695,/competitions/expedia-personalized-sort,4th
/eccentric,srch_query_affinity_score and prop_location_score,"1. It is hard for me to understand ""prop_location_score1"" and ""prop_location_score2"", could you please explain more about these two scores? 2. I'm so confused with ""srch_query_affinity_score"". Is it a score of a given hotel? But it seems in train.csv, the same hotel(prop_id) will also have different ""srch_query_affinity_score"", why? On the other hand, is it a CTR from Expedia or from all other related search engine? Why I find some prop_id have no ""srch_query_affinity_score"" but they have lots of impressions and clicks in train.csv? Thanks X",0,None,1,Sun Sep 08 2013 10:39:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5696,/competitions/expedia-personalized-sort,299th
/ghegoo,"ROC, AUC and submission format","Hello, I'm a newbie and I'm having trouble understanding the submission format. Here's how I've proceeded so far: - imported train and test data - extracted some features - trained a classifier in scikit-learn - used the classifier to predict the device associated with each test sequence - translated this in a binary answer if my prediction matches the questions file or not I am afraid the last step is wrong, but I'm not entirely sure how to go from the trained classifier to an answer that is not just 0-1 but is a probability of truth. Can anyone explain? Thanks!",0,None,3,Mon Sep 09 2013 04:33:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5699,/competitions/accelerometer-biometric-competition,418th
/karle1,Kobayashi Maru ,"There are two flights in the test data that are reminiscent of the Kobayshi Maru test (no win situation) The two flights drop the Agent out the sky just a few short miles from the airport, well past the 75 mile ATC fence, and at great altitudes. Landing within the allotted airspace is impossible (minimum airspeed, altitude, max rate of descent, all end up miles beyond the airport). The solution would be to take command and turn them around in a lazy circle and then come back. But this is the heart of ATC controlled airspace My observation is that these two fights are out of place in this competition. (of course, I could be wrong... just ask my wife) The flights are: 302926721 27,000ft, at 175knts, 5 nautical miles from the airport 303249647 23,000ft, at 121knts, 1.6 nautical miles out. (121 knts is below the stall speed of airliners in this competition that carry 100-130 souls) Thoughts?",0,None,1,Mon Sep 09 2013 23:30:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5706,/competitions/flight2-milestone,53rd
/astronaut71,SVM classification. How to improve the perfomance of SVM? ,"HelloIm using LIBSVM and MatLab to classify 34x5 data in 3 classes. I applied 10 fold Kfold cross validation method and RBF kernel. The output is this confusion matrix with 0.88 Correct rate (88 % accuracy). This is my confusion matrix 9 0 00 3 00 4 18 I would like to know what methods inside SVM to consider to improve the accuracy or other classifications method in Machine learning techniques. Any help?Here is my SVM classification code load Turn180SVM1; //load data filelibsvm_options = '-s 1 -t 2 -d 3 -r 0 -c 1 -n 0.1 -p 0.1 -m 100 -e 0.000001 -h 1 -b 0 -wi 1 -q';//svm optionsC=size(Turn180SVM1,2);% cross validationfor i = 1:10 indices = crossvalind('Kfold',Turn180SVM1(:,C),10); cp = classperf(Turn180SVM1(:,C)); for j = 1:10 [X, Z] = find(indices(:,end)==j);%testing [Y, Z] = find(indices(:,end)~=j);%trainingfeature_training = Turn180SVM1([Y'],[1:C-1]); feature_testing = Turn180SVM1([X'],[1:C-1]);class_training = Turn180SVM1([Y'],end); class_testing = Turn180SVM1([X'], end);% SVM Training disp('training'); [feature_training,ps] = mapminmax(feature_training',0,1); feature_training = feature_training'; feature_testing = mapminmax('apply',feature_testing',ps)'; model = svmtrain(class_training,feature_training,libsvm_options); %% SVM Prediction disp('testing'); TestPredict = svmpredict(class_testing,sparse(feature_testing),model); TestErrap = sum(TestPredict~=class_testing)./length(class_testing)*100; cp = classperf(cp, TestPredict, X); disp(((i-1)*10 )+j);end;end;[ConMat,order] = confusionmat(TestPredict,class_testing);cp.CorrectRate;cp.CountingMatrix; Any help how to get better perfomance with SVM or to consider other classification machine learnings methods?Thanks",0,None,3,Tue Sep 10 2013 03:57:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5707,None,None
/zengxiangli,Data page for a complete data dictionary.,I cannot visit the [Link]:../../c/c/flight-quest-2-flight-optimization/data page for a complete data dictionary any more. Is it still available?,0,None,1,Tue Sep 10 2013 06:46:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5709,/competitions/flight2-milestone,None
/dr4g0nsl4y3r,How to run benchmark in low memory machines?,"Getting ""MemoryError"", While running the python benchmark code on Core2Duo 2.93GHz, 4GB Win 7 machine. Any help is appreciated. Thanks.",0,None,6,Tue Sep 10 2013 09:10:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5710,/competitions/expedia-personalized-sort,None
/preslavrachev,"Regarding the use of standard technologies for indexing, data mining, etc","Just wanted to make sure I get this clear, before I start working out a solution. The use of external data (outside of the scope of the training set) is prohibited. This is clear. How about the use of established state-of-the-art technologies for text indexing, data mining, machine learning, etc, such as Apache Solr and Mahout? Are they allowed, or the proposed solution must be a script, written entirely from scratch? I know that the submission is scored, based on the proximity of the proposed tags to the original ones from the test set. Yet, as said, I want to get this clear, before I start working on a setup.",0,None,1,Tue Sep 10 2013 13:21:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5711,/competitions/facebook-recruiting-iii-keyword-extraction,None
/lucamassaron,Is there any problem with the submission system?,"I cannot successfully submit though the format of the file is exactly what is prescribed. The system opposes me an execption, without explaining more. Moreover the system even refuses the SampleSubmission file, as downloaded from the data section. Is there any problem with the submission system? Could it be some problem on my side? Any hint?",0,None,3,Tue Sep 10 2013 16:18:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5713,/competitions/facebook-recruiting-iii-keyword-extraction,35th
/djgagne,GEFS Elevation Data Now Available,"Contestants, I have added a file to the data section of the contest called gefs_elevations.nc. It is a netCDF4 file that contains the model elevations at each GEFS grid point. The elevations are in meters. With this data you should be able to perform 3-dimensional interpolation of the model forecasts. Any submissions from now on and the final submissions should only use this data, and not elevation data from any outside sources (e.g. Google Elevation). If you have any issues reading the file, please let me know.",0,None,3,Tue Sep 10 2013 22:21:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5715,/competitions/ams-2014-solar-energy-prediction-contest,None
/zygmunt,Moar starter code and a NetCDF4 tutorial,"Here's an article about this competition containing a tutorial for dealing with NetCDF in Python. If you have that figured out, scroll down to beating the benchmark section. I modified Alec's code to get a slightly better score: 2215k. http://fastml.com/predicting-solar-energy-from-weather-forecasts-plus-a-netcdf4-tutorial/ Like it? Then hit thank and/or reply link below.",13,silver,11,Tue Sep 10 2013 23:08:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5716,/competitions/ams-2014-solar-energy-prediction-contest,89th
/kymhorsell1,Submission process hangs,"Tried to submit new entry. Testing seems to hang although it says next to my name in the leaderboard ""your entry scored NULL; keep trying"". Submitting something that was accepted a couple hrs before does the same thing. And, of course, each of these uncompleted submissions counts against my daily quota.",2,bronze,16,Tue Sep 10 2013 23:40:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5718,/competitions/battlefin-s-big-data-combine-forecasting-challenge,255th
/geoff3,Preparing fresh data without leakage – Request for comments,"Seal sponsored this competition with the intention of evaluating if smartphone users can be identified from the accelerometer record of their movements. It is apparent that design flaws in the data of the current competition thwart yielding useful information for evaluating our hypothesis. In light of this, we intend to organize another competition using fresh data that avoids leakage. We are in the process of preparing the data set and would like to solicit comments from participants in order to ensure that winning models in the next round will be based on legitimate features. The currently running competition will not be impacted.We are aware of 3 sources of leakage in the current data set:1. Count of samples per device - Since an equal number of samples from each device were used for training and test sets, it is fairly trivial to predict devices in the test set based on sample counts.2. Different device sampling frequencies – Although we attempted to eliminate leakage from this source by selecting incorrect answers in the test from similar devices, leakage remains.3. Time of day – Since data was sorted chronologically before splitting into train and test sets, the chronological proximity of the first sequence of samples for each device in the test set to the last samples per device in the training set leaks information that can be used to identify devices in the test set.The data that we have at our disposal includes the 60m samples that participated in the current competition plus ~20m fresh data samples collected from ~70 devices including ~50 that were previously unknown. We plan on performing the following measures for preparing new low leakage data sets:1. Normalize sampling frequencies such that the number of samples per second across all devices will be equal.2. Adjust time stamps while retaining time-of-day, such that samples for all devices in the training set start from day 1 and samples for all devices in the test set start from day 1.3. Randomize the proportion of samples assigned to training and test sets across devices4. Randomly eliminate sequences of samples for each device from the end of the training set to address leakage source #3 above.5. Randomly select devices used for incorrect answers from the full pool of devices.Please let us know of any other sources of leakage that you may have discovered.Please comment regarding the effectiveness of the above mentioned leakage prevention steps and feel free to suggest others.For more info about leakage: https://www.kaggle.com/wiki/Leakagehttp://www.youtube.com/watch?v=kOgm6erzoxo",0,None,16,Wed Sep 11 2013 09:17:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5721,/competitions/accelerometer-biometric-competition,None
/julesvanligtenberg,fresh flights for the milestone prize?,"Hi Admins, Will there be a separate set of flights to optimize for the milestone prize or is it just who is highest on the LB on 25th of sept wins? (I don't see any mention of such a new set on the data page (get the data), on the other hand there is talk about a private LB for the milestone prize on the prizes page) Thanks",0,None,8,Thu Sep 12 2013 13:58:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5733,/competitions/flight2-milestone,21st
/anupriyainumella,test.csv has on 27957 images.,The test.csv file on which I ran my classifier has on 27957 images in it. So my result file which contains predicted labels also has only 27957 predictions in it. According to one of the rule any submission which has less than 28000 predictions is invalid. Help me out with this. Please! Thanks!,0,None,1,Thu Sep 12 2013 16:36:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5734,/competitions/digit-recognizer,None
/padjiman,Blog post with full R code illustrating a 0.79426 entry,"we all know that the leaderboard score doesn't mean much (at least for now) but for whoever is interested, i wrote a blog post (link below) fully exposing R code of an entry scoring 0.79426. The blog post discuss the R tools and methodology around the code, including model building/tuning using the caret package, the use of ROC curves to pick the best cutoff for your classifier, and more. Hope that anyone interested in those topics will find it useful. http://www.philippeadjiman.com/blog/2013/09/12/a-data-science-exploration-from-the-titanic-in-r/ Tks, -Philippe",13,silver,3,Thu Sep 12 2013 21:52:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5736,/competitions/titanic,None
/ofdomejean,Too many categories in some attributes,"Hi, I'm analyzing the competition ""Amazon.com - Employee Access Challenge"", I read most of the forum posts, but I don't get an answer to the following: I converted all the features to categorical, because that is what they are, but I don't know How to deal with so many categories in almost every attribute, because I want to use Random Forest in R, but it is restricted to a number of categories in order for it to run. What to do? Thanks in advance for the answers.",2,None,7,Thu Sep 12 2013 23:54:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5740,None,None
/jimb88364,Prize Winners and reminder to submit workshop proposals,"Thanks for your patience as we sorted out the standings. Congratulations to BrickMover and vsu, the preliminary prizewinners of this competition! Per the rules, the preliminary winners are now required to open source and link to their code in the forums. Once the winning approaches are verified, the leaderboard will be finalized. We've also extended the deadline again for RecSys workshop proposals to Friday Sept 20th. Our goal with this competition was to drive discussion and compare results on an industry data set at the [Link]:http://recsys.acm.org/recsys13/recsys-2013-challenge-workshop/. If you feel you have an interesting insight to share, even if you were not a top competitor, consider submitting a proposal, and join us for a discussion of the challenge in Hong Kong Sunday, Oct 13.",0,None,2,Thu Sep 12 2013 23:59:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5741,/competitions/yelp-recsys-2013,None
/noamtene,Good calls result in worse scores,"The lack of timely response to a wide variety of forum topics creates an impression that this competition is more of a pointless ""rock, paper, scissors"" game than a data mining challenge. This can lead to feelings of futility and frustration for serious competitors which may (or may not) explain why several of the top competitors have not made any submissions for over a week. Some of the specific issues at hand are: 1. There are still no answers from Belkin even to simple and straightforward questions about the units of measurement for the HF data. 2. The response to Jessica's dishwasher report was too local. It did not address other dishwasher issues raised since then so it seems that they only fix things after they are reported and have not addressed the underlying mislabelling problem (whatever it was). 3. Dishwashers are not the only devices that give worse scores for high confidence calls and yet there is no clarification from Belkin or Kaggle. 4. Regardless of the technical issues, the complete silence from Belkin and Kaggle on the ""Yet another missing dishwasher?"" thread creates an impression that we are wasting our time. The a-priory probability of improving the score by turning on a device for any minute without the benefit of any analysis or data mining is 7.877%. If the probability that the minute is in the private fold is roughtly 50% then the a-priory probability that your score will get worse is roughly 42.123%. This means that unless we can use information to our advantage, the best strategy is to stay with the ""All off"" benchmark. I have managed to mine enough information from the data to significantly improve the probability of making a correct ""on"" call and reach significant improvements to my scores. However, I regret to say that the best improvements to my score come from trying to second guess where the Belkin Back-end solution consistently made the same wrong call rather than from what I actually believe based on the data they gave us. Based on my experience to date, and until Belkin and Kaggle remedy the situation, I intend to discount what I believe actually happened based on the data and focus on second guessing.",1,bronze,12,Fri Sep 13 2013 08:45:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5745,/competitions/belkin-energy-disaggregation-competition,3rd
/cckk3333,NULL?,"I find there are some features that may be ""NULL"" that the description doesn't mention such as prop_location_score_2. This indeed makes the parse and the competition more difficult. Are there other features that may be ""NULL"" ? Also, could someone explain what do these NULLs mean?",0,None,2,Fri Sep 13 2013 10:16:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5746,/competitions/expedia-personalized-sort,101st
/pythia,19 Million $ for 1 Room ?,"Please correct me if I am wrong but srch_id = 78107 , prop_id = 39677 , price_usd = 19726328 $ ???? and that for 2 adults and 4 days. Of course this must be an error. (http://travel.cnn.com/explorations/escape/worlds-15-most-expensive-hotel-suites-747256 the most expensive hotel in the world goes at US$65,000 per night) I get 173 rows (in train.csv) where price_usd > 1 Million $ Of course we can discard such outliers but I m curious what caused this.",0,None,1,Fri Sep 13 2013 13:03:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5748,/competitions/expedia-personalized-sort,None
/siddhartha,Customer ID?,"Hi! I was about to start this competition and I noticed that the dataset does not provide explicit customer IDs tracked through a sign-in or a cookie. I could however notice that the tracking is being done, as the customer's historic average of rating is available. Am I missing a column here or was the customer ID not provided on purpose? Sid",0,None,4,Fri Sep 13 2013 18:07:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5750,/competitions/expedia-personalized-sort,313th
/asterios,Sparse matrix SVM in R - problem,"Hi everyone, I'm trying to train an SVM using the e1071 library. The predictor data are saved as a sparse matrix. Although I train the model without any error in my code, I see that the class probabilities for the predictions are same for every test item! Below is part of my code after creating a Tf-Idf matrix (trainDTM): trainDTMSp=sparseMatrix(i=trainDTM$i, j=trainDTM$j, x=trainDTM$v) train=trainDTMSp[1:450,] test=trainDTMSp[451:500,] set.seed(1) obj = tune (svm,train,labels[1:nrow(train)], ranges = list(gamma = 2^(-3:3), cost = 2^(-3:3)), probability=T, tunecontrol = tune.control(sampling = ""cross"", cross=5)) svmFit=obj$best.model pred=predict(svmFit,newdata=test,probability=T) All the predictions are: attr(,""probabilities"") 0 11 0.4895967 0.5104033........ What am I doing wrong?",0,None,2,Fri Sep 13 2013 22:21:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5755,/competitions/stumbleupon,31st
/akshaykumar1,Change username,"Hi, I just created my kaggle account. My course instructor wants username to be first and last name. But my username doesn't reflect my last name. How can i change my username now? Please help me it is important for my class. AKshay",4,None,1,Sat Sep 14 2013 01:06:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5757,None,None
/yankov,Parsing data with Pandas,Anyone made pandas correctly read csv? It's breaking with the error CParserError: Error tokenizing data. C error: EOF inside string starting at line 42 Looks like it's a known issue in pandas when it cannot correctly parse some of the symbols. Anyone made it working?,0,None,2,Sat Sep 14 2013 04:54:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5758,/competitions/facebook-recruiting-iii-keyword-extraction,None
/jhuling,Regarding the test set (question for the administrator),"Forgive me if the answer to this has been stated somewhere but I have not found it. Was the test set randomly selected from all the observations in the training and test sets? Secondly, was the 20% for the public leaderboard sampled randomly from the observations in the test set?",1,bronze,3,Sat Sep 14 2013 06:33:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5759,/competitions/stumbleupon,282nd
/ma2rten,What is your workflow?,"I know this question is depends on the problem at hand, but as a new Kaggler I was wondering how other people approach a competition. How do you explore the data? What visualizations and statistics do you use to gain insight? Which software tools are helpful? How do start to build up a model? Do you go from simple to more complex? Do you first try to find a good feature set using a simple classifier (logistic regression, nearest neighbors) or do you first try to find the right classifier? Do you first try to build one single good model or you right from the start try to build many models, which are as different as possible? What sort of visualizations, statistics do you use to find out how to improve your model? How much do you relie on past experience? How much is it trail and error? Do you do research for each composition, what kind of resources do you use? What resources can you recommend for learning in general? How much time do you invest in one competition?",0,None,3,Sat Sep 14 2013 15:00:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5762,None,None
/szaroletta,Are indicators 1-244 globally derived or specific to any security?,"After developing some models and reading this forum, I submitted today for the first time. In an effort to improve my score, I have a question that should have a quick answer. When I have developed trading models in the past using technical indicators (like RSI), fundamental indicators (net profit) and sentiment indicators (pos/neg ""press"" on twitter), most of these indicators are derived from the underlying security's data. (A few indicators are derived from the overall market and some carefully chosen ""pairs"" of securities.) I was expecting O1 to have its own set of 244 indicators for each 5 minute bar. Since the 244 indicators are lumped in with ALL of the securities, that would be like using the OEX's 244 indicators to predict the two hour price of GOOG or AAPL. Am I correct in assuming that indicators 1-244 ARE NOT security-specific (e.g. the ARE derived from the overall market's technical, fundamental and sentiment data)?",0,None,4,Sun Sep 15 2013 00:21:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5765,/competitions/battlefin-s-big-data-combine-forecasting-challenge,161st
/dirknbr,Position benchmark,"Is the position benchmark only based on variables in this data set, or other variables as well? If it's only on variables in this data, could you reveal the rough approach. I understand it's proprietary but it would help us improve status quo.",0,None,1,Sun Sep 15 2013 11:33:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5767,/competitions/expedia-personalized-sort,73rd
/ericmartinez,Lambert Conversion Broken?,"Is anyone else experiencing this? For example, when converting ( 70.000000, 49.000000 ) from degrees to the lambert projection (from the latest one day files) I get ( 3744.218531, 5289.825787 ). When I convert it back using the same provided functions and projection I get back ( 70.000000, 409.000000 ).",0,None,3,Sun Sep 15 2013 12:22:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5768,/competitions/flight2-milestone,None
/raghunathan,How to Load big csv in matlab,"HI folks, I am using matlab. I tried to load the file (*.csv), but it only imports 2^20 records. Any Idea about loading the whole records. Plz help me.",0,None,4,Mon Sep 16 2013 03:58:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5770,/competitions/accelerometer-biometric-competition,None
/striki,Competitors data,"There are 8 sets of comp[1-8]_rate, comp[1-8]_inv, comp[1-8]_rate_percent_diff in the provided data. It is unclear to me which competitors are taken care of? What is the meaning of ""competitive data"" term? Which is the role of competitors in Expedia's business model?",0,None,1,Tue Sep 17 2013 11:11:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5785,/competitions/expedia-personalized-sort,127th
/striki,srch_destination_id and distance between destinations,"Is there any kind of corelation between srch_destination_id and distance between destinations? For example, are two destinations with Abs(dest1 - dest2) < 2 likely to be closer than those with Abs(dest1 - dest2) < 10? striki",0,None,1,Tue Sep 17 2013 11:15:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5786,/competitions/expedia-personalized-sort,127th
/ektagrover1,Meaning of the extra fields in the Train.csv file,"Though these fields are intuitive - could you please mention if this understanding is in the right direction ? position = position of ""this listing"" in the recommendation result shown to the customer ;click_bool = 1 if the customer clicked on ""this listing"" , 0 if the customer did not click , and NULL == ? ;gross_bookings_usd = gross bookings for this ""listing"" in usd (but how would we normalize this usd amount per listing?)booking_bool = 1 if the customer booked this listing , 0 if the customer did not book this listing and NULL == ?",0,None,2,Tue Sep 17 2013 12:17:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5787,/competitions/expedia-personalized-sort,None
/smcinerney,Public data - tag definitions and synonyms,"Are we allowed scrape tag definitions from [Link]:stackoverflow.com/tags? (Better still, can the admins just dump us a file of tag definitions?) How otherwise could you automatically disambiguate that (say) [Link]:http://stackoverflow.com/tags/cherrypy/info and [Link]:http://stackoverflow.com/tags/scipy/info are Python-related tags, but [Link]:http://stackoverflow.com/tags/robocopy/info and [Link]:http://stackoverflow.com/tags/spyware/info aren't? Fail that, is it allowed to write a regex to define which tags are synonymous/related? I don't like the idea of wasting time on clustering things which are self-evident. Or each of constructing our own ontology for SE tags.",0,None,7,Wed Sep 18 2013 03:25:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5791,/competitions/facebook-recruiting-iii-keyword-extraction,None
/nasserine,Test set,"if I understand we must learn our model on the training set, and evaluate it on the test set. However, I would like to know how can do it if we have no information about booking_booll and click_bool in the test set, ie how to build in this case labels (grades) in the test set. thanks,",0,None,1,Wed Sep 18 2013 10:31:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5792,/competitions/expedia-personalized-sort,None
/mindisz,Position,"Hi I wonder why majority of searches don't have hotels at position 5, 11, 17, 23? Thanks!",0,None,1,Wed Sep 18 2013 15:03:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5794,/competitions/expedia-personalized-sort,75th
/martinthomas,Tag order?,"Does it matter what order the tags are in? I would hope not.. Can anyone confirm that to be true? Thanks, Martin",0,None,1,Wed Sep 18 2013 23:17:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5797,/competitions/facebook-recruiting-iii-keyword-extraction,None
/andyvo1,Can not download data,"Hi, I believe here is an error of the website: when I want to download the data, it says I should accept the rules of the comptition but clicking on ""Accept"" will show ""You already accepted on..."" and no data is downloaded!Please investigate and fix it.",0,None,2,Thu Sep 19 2013 04:15:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5799,/competitions/hivprogression,None
/hunt1124019,Online MBA or MS in Business Analysis degree course in Australia ?,"Hi, Do we have any ONLINE postgraduate course like: Masters in Business Analystics MBA with Business Analytics concentration for an IT professional looking to become a BIG DATA Architect ?",0,None,1,Thu Sep 19 2013 04:30:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5800,None,None
/darthbakernz,"Can't download data, repeated accept rules prompts","Hi, I am trying to download this data set, however, it keeps asking me to accept the rules. When I click accept it says 'you've already accepted the rules' and then re-prompts me to accept the rules ad infinitum. I have disabled all extensions and tried other browsers (IE and Chrome) all give the same results. Could someone please tell me how to fix this so I can get the data. Thanks,",0,None,2,Thu Sep 19 2013 05:39:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5801,/competitions/belkin-energy-disaggregation-competition,None
/andyvo1,Could not download any data,"Hi all! I'm new to kaggle and want to start but could not download any data from any competition. When I click on ""data"", the website pop-up reminds me of accepting the competition rules but by clicking on ""Accept"" the website prompts ""You already accepted..."", the pop-up do not close and no data transfered. I have tried with at least 3 competition (active and closed) but the same error. Can anyone help? Thanks.",0,None,4,Thu Sep 19 2013 05:53:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5802,None,None
/gcastorrr,O155 values at day 184 (184.csv),"Hi all, The percentage change values for O155 at day 184 are really weird. Well, they are all above 1000 and the pattern does not match with other days (which look normal). Is this an incorrect data issue? Thanks for any comments in advance. gc",1,bronze,6,Thu Sep 19 2013 09:36:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5805,/competitions/battlefin-s-big-data-combine-forecasting-challenge,377th
/striki,Position Benchmark,"Hi What is the meaning of ""Position Benchmark"" on Leaderboard page? As explaineded as ""Properties ranked according to the position they were shown on Expedia.com"", does this mean that these positions are the same ones with positions found in the test.csv file? striki",0,None,5,Thu Sep 19 2013 11:34:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5808,/competitions/expedia-personalized-sort,127th
/chadwittman0,Project to be done?,"I came to the site trying to submit a project to be done. Haven't heard anything from kaggle (submitted, tweeted, support... nothing), thought I'd try the forums before I give up. I'm looking to get a project done. We have a crazy amount of Facebook Insight (FB Page's marketing data), and I need help with examining a few correlations that I'm working on. My knowledge is limited, however I believe I'm looking to get linear regression with multiple variables on some of our data. I'd be happy to explain more if this is the right venue. —chad@applum.com",0,None,1,Thu Sep 19 2013 16:30:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5811,None,None
/monsieurcactus,How many questions in Train.csv ?,I am counting 6034196 questions in the data set. That sound right? http://data.stackexchange.com/ says 5.7m questions as of Sept 15.,0,None,1,Thu Sep 19 2013 19:14:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5814,/competitions/facebook-recruiting-iii-keyword-extraction,276th
/wcukierski,Welcome!,"There's still plenty of space left in Microsoft's market street venue. If you're in the SF area and have a free Friday night, come out and meet some fellow data scientists, do a little predictive modeling, and find out just why it is that nobody ever fixes that pothole on Maple St. Register here: http://www.meetup.com/software/events/138126482/",0,None,2,Thu Sep 19 2013 19:18:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5815,/competitions/the-seeclickfix-311-challenge,None
/davidwilson0,Altitude in submission file: Is it used or ignored?,"In the simulator log I notice that a flight begins climbing to FL400 (40,000) and stays there until descending for landing. I am confused because my submission file instructs the flight to stay at FL350. Is the submission file altitude used in the simulator? What about the online submission evaluation? Is submission file airspeed used (I haven't tried anything but 450 yet)? Submission: FlightId,Ordinal,LatitudeDegrees,LongitudeDegrees,AltitudeFeet,AirspeedKnots301817127,1,28.714041286651337,-83.92938824157181,350000,450301817127,2,29.23167937685638,-85.86123989414995,350000,450301817127,3,29.749317467061424,-87.79309154672808,350000,450301817127,4,30.266955557266467,-89.72494319930621,350000,450 Simulator Log: FlightId,Latitude,Longitude,Easting,Northing,ElapsedTime,AirSpeed,GroundSpeed,Altitude,FuelConsumed,Weight,Status301817127,28.0576243661037,-82.1242628155828,682.189664869489,216.094573243645,0.755,450.00,427.66,38266.87,3794.35,157593.65,Flying301817127,28.0853117522941,-82.1988272994967,678.093864416055,217.377876041039,0.765,450.00,429.21,38514.98,3857.30,157530.70,Flying301817127,28.1129622112766,-82.2734262890335,673.99806396262,218.661178838433,0.775,450.00,429.21,38522.40,3910.52,157477.48,Flying ... 301817127,32.8261539991206,-102.21357228249,-367.286434825975,481.169067905729,3.245,450.00,432.77,39995.50,16396.69,144991.31,Flying301817127,32.8409219065888,-102.296696533739,-371.466567516888,482.289507912914,3.255,450.00,432.77,40000.00,16444.73,144943.27,Flying301817127,32.8556593096234,-102.379915089136,-375.650358675178,483.410928533279,3.265,450.00,433.15,40000.00,16492.58,144895.42,Flying",0,None,2,Thu Sep 19 2013 19:33:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5816,/competitions/flight2-milestone,98th
/emohit,downloading problem,"Hi , Is there any other way i can download the data , I tried twice but every time it says that the ZIP file is corrupted. Thanks",0,None,2,Thu Sep 19 2013 19:40:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5817,/competitions/facebook-recruiting-iii-keyword-extraction,None
/sbachish,Duplicate Account,"I don't want to complaint, but activities of Singh, Tanuja and Ravi(#48, #49, #50) seems to me suspicious. ))",2,bronze,6,Thu Sep 19 2013 19:43:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5818,/competitions/battlefin-s-big-data-combine-forecasting-challenge,320th
/carolineli,About submission,"Hi everyone, I'm new here, so I have a basic question want to ask.The file that all we have to submit is only the ""perdition file""of the test data? How can they evaluate our score in the final stage with the other 80% data? Shouldn't we also provide our model or .py file? Thanks first!!",0,None,4,Fri Sep 20 2013 07:05:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5821,/competitions/stumbleupon,258th
/herimanitra,Good news for R addicted,http://www.revolutionanalytics.com/partners/teradata/ Hope It will be available for windows and with the academic version,1,None,5,Fri Sep 20 2013 07:31:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5822,None,None
/rublinetsky,Weird price_usd values,"Please help me to understand price_usd values. For example, search 365560 in the training set returned 8 hotels with prices ranging from $3M to $9M. Well, even if we assume for a moment that such hotel prices exist and are sold from .com site, it still makes no sense: the customer booked one of these rooms (the cheapest one, for $3076364 per night) for 2 nights and paid total of 773 dollars (gross_bookings_usd). It looks like the last three digits (364) could be the right price per night and some columns got merged in the original dataset. And this is not the only one - the top 100 values of price_usd are above $1.5M. One has to go down to almost 4000 rows to get to room prices in single thousands. Is this a problem with the data or am I interpreting it incorrectly?",0,None,1,Fri Sep 20 2013 07:43:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5823,/competitions/expedia-personalized-sort,79th
/striki,prop_id values per search,"Just to clarify, I’m not sure I found it explicitly: 1. The goal of the competition is sorting properly existing prop_id values per search in test data, or is it possible to include some other prop_id values and remove existing ones? 2. Number of prop_id values per search in test data remains unchanged. Is this true? striki",0,None,1,Fri Sep 20 2013 10:35:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5824,/competitions/expedia-personalized-sort,127th
/sandros,302380016 only at 36 km or 22 miles,"This flight from the test set (testFlightsRev3.csv) made my code crash, because it is built with in mind that all planes should be at more than 75 miles from destination. Shall I ignore it? I wanted to submit by today, so would be cool if you can say how I should handle this flight (eg. ignore, get route for it too,...). Thanks in advance! Sandro",0,None,1,Fri Sep 20 2013 12:59:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5825,/competitions/flight2-milestone,99th
/tonmoyrakshit,I can't understand much about the competition requirements.,"Hi, I m new to data mining concepts.So I exactly can't understand how to proceed with the competition coz I guess data mining is a vast field.And there are already available datamining tools like MATLAB,etc which does data analysis work... So what are we supposed to do? Can we use these tools or should we use some programming language to get to the solution?? Please help...",0,None,1,Fri Sep 20 2013 15:38:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5828,/competitions/facebook-recruiting-iii-keyword-extraction,None
/mercuri,Evaluation Exception: Instructions could not be parsed. (details) or try again,"I get the above message, while I have been using the same format in all my previous submissions without a problem. I assume there is a problem with the format. The details options point me to ""my submissions"" area where i have to select my submission to be considered for the competition Thanks for the help M.",0,None,1,Fri Sep 20 2013 23:56:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5831,/competitions/flight2-milestone,102nd
/gtakacs,Using Live Wind Information,"Hi Admins, As the milestone prize deadline is approaching, I'm thinking more and more about the wind data rules. The live wind data used for evaluating public leaderboard submissions can be extracted from the files available [Link]:http://soostrc.comet.ucar.edu/data/grib/rap/, however contestants are not allowed to use this data in their solution (see [Link]:http://www.gequest.com/c/flight2/forums/t/5530/simulator-release/31010#post31010). I have not used live wind information in any of my submissions, but my experiments on the OneDay data set show that using it could improve the score by >10$. Suppose that the candidate for the milestone prize submits his/her code to Kaggle for validation. It's just impossible to check if the code uses live wind information or not. For example, one could encode a piece of live wind information in an indirect way, e.g. as constants in the code. How can Kaggle detect if some constants were optimized for live wind? I think that the rules should be modified to eliminate this nasty and serious issue.Here are two suggestions: Contestants should be allowed to use live wind information in their milestone prize solution. The milestone prize evaluation should use something else instead of the publicly available live wind data, e.g. randomly perturb the wind vectors included in TestWeatherData-Partial.zip. Gabor",6,bronze,12,Sat Sep 21 2013 01:13:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5832,/competitions/flight2-milestone,3rd
/ektagrover1,Simplest way to view the csv files ,"HI - since the test.csv is huge(train.csv opens though), it does not open in my machine. So I have been using reCsv editor to view the contents of the file, and the manipulation happens in Python (I can read it in data-frames & selectively see the contents of each column) - just wondering how is everyone else working with the test.csv file ? I want to explore normal plotting, outlier detection etc. , which is way more friendlier in Excel for pre-processing. I'm on windows 64 bit, 8GB RAM, i5 processor.",0,None,5,Sat Sep 21 2013 09:55:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5834,/competitions/expedia-personalized-sort,None
/toodumbtofly,Milestone clarification,"I am probably very, very late to enter, but is there anyway I can still hit inside? I saw there are 2 deadlines mentioned. Can someone tell me the difference between the 2? As in, if I submit vague values for the milestone, and put in a lot of effort later, will I still be deemed eligible? Thanks!",0,None,4,Sat Sep 21 2013 22:42:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5836,/competitions/flight2-milestone,None
/domcastro,New Beat the Benchmark,"Could someone post another good Beat The Benchmark, please? With GTA and the new Rayman, my priorities have changed! ;)",1,bronze,1,Sun Sep 22 2013 01:42:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5837,/competitions/stumbleupon,272nd
/shahidhanif,Marking,"Hi, I am very new to Machine Learning and Big Data and liked to start learning with this challenge as a starting point. My question is really basic, so please don't mind if this doesn't make any sense. I have taken following example from training dataset. Training dataset has only one tag ""css"" for following question but when I tried to predict tags for the same question then I came up with ""css, background-position, firefox and google-chrome"" as you can see in image. So my question is, these all predicted tags look relative to the question, how scoring system will score these predictions if we get this kind of question in test dataset and we predict like above predictions. Thanks",0,None,1,Sun Sep 22 2013 02:21:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5838,/competitions/facebook-recruiting-iii-keyword-extraction,None
/siddharth34940,Newbie help: Framing the problem as a classification problem,"I am a newbie and this is my first serious attempt at a kaggle problem. After trying the kNN approach (benchmark mentioned) and a time profile combined with kNN approach I could just attain a .75ish AUC. So I am thinking of reframing the problem as a classification problem. Break the input data into 300 point sequences. Each sequence will have a device Id (label). I calculate n-number of features from those 300 points. So I have a multi-way classification input sample. (x number of points with labels which take 1 of 387 labels). I train a multi-way classification algorithm on it (say 387-way logistic regression). While predicting, I calculate the same n-features from the 300 pt test sequence and apply my 387-way model to get a map of 387 probabilities, which will be my prediction. Is this how generally problems like this are framed ? Do the experienced kagglers, think that this is a good framing for this problem and similar problems ?",0,None,1,Sun Sep 22 2013 10:43:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5840,/competitions/accelerometer-biometric-competition,141st
/anlthms,Out of fuel,"Flight 302728755 runs out of fuel and crashes somewhere over Kansas, over 1000 miles away from Salt Lake, its destination. This flight looks unsaveable. Must be an error in the data. Maybe it was bound some place else.",0,None,2,Sun Sep 22 2013 23:34:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5845,/competitions/flight2-milestone,11th
/luistp001,class project,"Hi, Can I use this data for a class project? Thanks",0,None,1,Mon Sep 23 2013 03:53:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5848,/competitions/accelerometer-biometric-competition,None
/zheliu,Consecutive training days and testing days?,Does Day 2 came immediately after Day 1 and Day 201 came after Day 200? Thanks for any help!,0,None,2,Mon Sep 23 2013 09:12:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5852,/competitions/battlefin-s-big-data-combine-forecasting-challenge,337th
/noamtene,You must upload a model to be eligible?,"At the top of the [Link]:https://www.kaggle.com/c/belkin-energy-disaggregation-competition/submissions it says that: ""You must upload a model to be eligible"". I understood that the model upload was a response to our request. Is it optional or is it now mandatory to submit a model in order to be eligible? If it is mandatory, will a single line be enough to satisfy the ""eligibility requirement or does the model actually need to be any good?",1,bronze,7,Mon Sep 23 2013 10:26:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5853,/competitions/belkin-energy-disaggregation-competition,3rd
/striki,prop_location_score1 and prop_location_score2,How prop_location_score1 and prop_location_score2 scores are gathered? Is there any correlation between them? Is one more relevant than the other?,0,None,3,Mon Sep 23 2013 14:29:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5854,/competitions/expedia-personalized-sort,127th
/sandroj,Cost and Fuel Consumption model - Origin,"Hi, Someone could tell me the origin of the cost model and fuel consumption adopted in the simulator? Is there any bibliographic reference or the model was developed internally by GE? I know that for this competition, the important thing is not the model itself, but choosing appropriate parameters that minimize the costs of flights. However, I would like to understand better the model incorporated into the simulator. Best regards, Sandro",0,None,1,Mon Sep 23 2013 20:23:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5862,/competitions/flight2-milestone,115th
/ydhiman,Transaction data - predictive modeling - CRM,"Source or books which can guide how to make predictors from transaction data which can be used in predictive modeling. I believe we have to give some score to each record e.g. sales contribution can be a predictor but a trail of question appears like should it be score driven from cumulative sales or simple percentage contribution, another example derived variable that can be made by dividing one variable from other e.g. avg sale per month by each member (if so can I use the variable which I used to drive avg. Sales I.e. sales and active month.) A lot of questions like this are making me crazy :) can someone help.",0,None,1,Tue Sep 24 2013 18:38:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5868,None,None
/wcukierski,IMPORTANT: Event Pre-registration,"Hey folks, Battlefin is asking for your help because there is not much time between the close of the competition and the event in Miami. As soon as the competition is over they will be reaching out to winners to lock down the attendee list. Please pre-register to make this process go smoothly (also, it's mandatory if you want to participate in the event and prizes). ------ PRE-REGISTRATION is now open for the Miami Event. It will take you less than 1 minute to PRE-REGISTER. If you are interested in attending but do not believe you have a chance of winning, you should still sign up.Click Here: [Link]:http://web.battlefin.com/bdc-info-0 Why PRE-REGISTER?If you don't PRE-REGISTER, BattleFin will have no way to contact you. HOW LONG WILL PRE-REGISTRATION BE OPEN?PRE-REGISTRATION will be open from now until Midnight EDT, October 1, 2013. HOW AND WHEN DO I BOOK MY FLIGHTS?On October 2, 2013 we will email the winners of the event. The only way for us to send you an email is to PRE-REGISTER. We will follow up with a call at a convenient time on October 3 to book your travel arrangements. We will only call contestants that have already pre-registered and select they can attend the combine. PLEASE BE READY TO CONFIRM ATTENDANCEIf you are currently undecided, make sure you are able to give us an answer by October 3. If you do not confirm by October 3 with our travel agent, we will be forced to pick alternative winners for the event. Winners will receive a travel voucher to come to the event.",0,None,2,Tue Sep 24 2013 21:10:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5869,/competitions/battlefin-s-big-data-combine-forecasting-challenge,None
/kymhorsell1,Boosting performance,"Knowing my own vast ignorance I'd normally keep my mouth shut. But with 7 days to go in the comp and people still complaining they can't make headway mostly because of the L1 loss function -- aka using MAE rather than MSE -- I'm gunna add another 2c to the pot. I've been struggling to boost simple models into larger ones that do better. Until recently I'd only managed to take a set of ~100 models and make a bigger one that performed around the same as the best of the input models. But it seems convergence is just slow in the L1 world. Just recently I noticed 200 models combined started to do better. And then I just lost patience with averaging and wrote a little combiner that finds an appropriate weight vector to combine models to make a result that minimizes the combined MAE. Simple random trial and error for the weights does pretty well -- so it's quick to write such a thing -- but adding in a LM stage to finish really nails the result. Linear methods (like simple simulated evolution :) can tend to go into orbit near an optimum solution, but non-linear convergence can take you right to that solution. So with the combiner I can take models and make better ones. But there is a way to do even better. If you're going to have several stages to the model-building, who says you have to operate all of them using L1 metrics? I find if you build a set of lousy models minimizing MSE then combine them (as above) to minimize MAE it does really well. So particularly all of you guys that are hoping that last*1.02+0 model will sit in the top 100 when the private leaderboard shows up, you better get busy and cut more code (maybe the method I'm decribing is already in R or some stats lib; as an old fogey I'm still using SQL, C and ""asm volatile"" when I need speed, so I wouldn't know). I look forward to a lot of scores starting .3.",0,None,2,Tue Sep 24 2013 22:53:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5870,/competitions/battlefin-s-big-data-combine-forecasting-challenge,255th
/robertramey,Exactly what time and timezone will is the Milestone Entry deadline?,"According to the contest rules September25,2013 is the milestone entry deadline. But it doesn't say the hour and timezone. So exactly when will the last entry be accepted? Robert Ramey",0,None,3,Wed Sep 25 2013 00:25:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5871,/competitions/flight2-milestone,None
/miroslaw,Best performing single model,This is just a quick informal poll. I'm curious what kind of scores competitors have been able to achieve with their best individual model. I know it's not safe to trust the leaderboard in this competition too much but it would be neat to know how far kagglers have been able to push their models. I'll start - my three best performing models (I'm posting 3 since they are all distinct and have similar scores)Model 1: 0.41561Model 2: 0.41561Model 3: 0.41569Building an ensemble has helped me push my score up slightly to my current score but I suspect I'm building the ensemble incorrectly.,0,None,7,Wed Sep 25 2013 01:31:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5872,/competitions/battlefin-s-big-data-combine-forecasting-challenge,206th
/ccccat,Visualization,A year ago I prepared short presentation about feature selection. Here are some pics from that presentation:,8,silver,1,Wed Sep 25 2013 19:32:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5878,/competitions/dogs-vs-cats,None
/misiti,Cropping,It sort of sucks that the images are not the same dimension. This is probably a dumb question but are their algorithms that take variable number of features or is it assume we have to come up with a method for cropping also ?,0,None,5,Wed Sep 25 2013 22:39:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5879,/competitions/dogs-vs-cats,None
/wcukierski,"If you see something, say something.","Please let us know if you find [Link]:https://www.kaggle.com/wiki/Leakage in the test set. We'll give you special profile badge as a token of thanks. Since this competition is meant to last for a few months, we'll all have more fun if there are no unfair hints that take the science out of it. Thanks!",2,None,2,Thu Sep 26 2013 02:45:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5881,/competitions/dogs-vs-cats,None
/hetong007,When to download the encrypted data?,"Hi all, There might be some participants around world with slow internet connection to Kaggle, including me. I think starting to download big data files as early as possible is important in a 24-hour hackathon. My questions are: What is the approximate size of files?When will them be released, even in encrypted .7z-format? Thanks.",0,None,1,Thu Sep 26 2013 05:47:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5882,/competitions/the-seeclickfix-311-challenge,36th
/upulbandara,What are the suitable productive models for this competition?,"Hi All, I just download the data files and started to play with them. At this point, I am very curious about the predictive models, which are suitable for this competition. Now I’m reading following papers to check wheatear I can use the techniques described in the paper for this scenario. http://nlp.stanford.edu/pubs/tagpred-sigir08.pdf All suggestions are welcome",0,None,4,Thu Sep 26 2013 06:18:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5883,/competitions/facebook-recruiting-iii-keyword-extraction,None
/rvprasad,Registration requirements for the deep dive competition,"It is clear that registration is required for the hackathon competition. Is registration required for the 2 month deep dive competition? Or will the deep dive competition be held as other competitions at Kaggle -- a login at Kaggle will suffice? Also, are there any restrictions on only the hackathon participants are allowed participate in the 2 month deep dive?",0,None,1,Thu Sep 26 2013 07:23:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5884,/competitions/the-seeclickfix-311-challenge,None
/herimanitra,Garch models,"(G)ARCH models are widely used in finance and probably the first thing to try in this kind of forecasting competition. Is last observed value benchmark more accurate than GARCH(1,1)? I’ve never seen people discussing about these models. Why? Are they bad in practice?",2,None,4,Thu Sep 26 2013 07:36:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5885,/competitions/battlefin-s-big-data-combine-forecasting-challenge,None
/sumoverhistories,nature of the 311 data,"has there been any description of what the nature of the 311 data will be? (e.g., natural language transcripts of calls, geotagged call origins ... ect?)",0,None,1,Thu Sep 26 2013 08:24:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5886,/competitions/the-seeclickfix-311-challenge,None
/haozh34332,tutorial code problem,"i tried the tutorial code in https://gist.github.com/jpetterson/776aba5d190d0fe84fdd, but the code stops at ""1700/1783"", i do not know why. I check the names of matrix r after stopping the loop, the third column's name is NULL.",0,None,1,Thu Sep 26 2013 08:47:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5887,/competitions/facial-keypoints-detection,None
/alzmcr,Few feedbacks just after the milestone..,"I must say - so far, the competition has been really fun!! I'm looking forward to the phase 2 and the milestone winner’s ideas! :) Below a couple of questions... actualTakeoff & actualLanding: these files (should) contain the number of planes arriving and leaving the specific airport at each time. They can be easily recreated on the training data looking at the actual runway arrival, actual runway takeoff from the flight history files.In the test set, we’re not given any scheduled plane leaving after the cutoff time, which is kind of legitimate to have, as plane are schedule days ahead. So we’ll have no idea of what else should be in the air afterwards. Can we have a list of the scheduled flights after the cutoff, without the actual landing & takeoff? Or, is already provided and I'm just blind? groundCondition: these files contain the airport conditions at each point of time after the cutoff. In the oneday simulator file, some airports don’t have weather informations for the 1st hour or after the 4th hour, which will result in giving the default values (10 visibility, 45 temperature) for any planes landing before the 1st or 4th hour at these airports. This turns out to be a disadvantage if we can forecast accurately the weather for every hour (or less) for each airport. Can we have some insights on how these files are created?",2,bronze,9,Thu Sep 26 2013 13:01:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5891,/competitions/flight2-milestone,8th
/marcusklinge,Images without animals,Should we report these? As far as I understood it detecting the presence of an animal was not part of the challenge. Marcus,0,None,5,Thu Sep 26 2013 13:49:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5892,/competitions/dogs-vs-cats,None
/matthagy,Duplicate Entries,"There are duplicate entries in both Train.csv and Test.csv. These entries have identical titles and bodies with different Id's. Here is the first example from the training set: Id: 2383 Tags: 'function anchor' Title: 'Compatibility issues with <a> and calling a function(); across different web browsers' Body: ""&lt;p&gt;I am new to javascript. ... Id: 3551 Tags: 'function anchor' Title: 'Compatibility issues with <a> and calling a function(); across different web browsers' Body: ""&lt;p&gt;I am new to javascript. ... There are 1,582,285 duplicates in the training set and 219,796 duplicates in the test set. There also may be triplicates and higher. I haven't checked. Additionally, 47,888 duplicates in the training set have different tags. For example: 13032 & 35742 have identical titles and body 13032 has tags 'java jsf jsf-2.0' 35742 has tags 'java jsf jsf-2' I found 1 post on stack overflow with this title and body: [Link]:http://stackoverflow.com/questions/3523998/jsf-2-0-validation-controller It has the tags of the 35742 entry in the training set. What do the duplicate entries mean? Especially with different tags? Is this a previous version of the question for which the tags have been modified? Since there are so many duplicates in the training and test set, it would be good to account for the duplicates. Thanks! Edit: Added quantities that were still being computed when post was accidentally submitted",5,bronze,3,Fri Sep 27 2013 14:16:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5897,/competitions/facebook-recruiting-iii-keyword-extraction,12th
/lastmonopoly,External Software,"Hi there, There are a lot of text-extraction software (as listed in http://en.wikipedia.org/wiki/Terminology_extraction), are we allowed to use them?",0,None,1,Fri Sep 27 2013 15:00:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5898,/competitions/facebook-recruiting-iii-keyword-extraction,None
/c0mrade0,Class Project Need a smaller dataset without data leak,"Hi, We were planning to host a Kaggle (inclass) competition as a course project for Foundations of Machine Learning Course at IITB ( [Link]:http://www.it.iitb.ac.in/~sunita/cs725/). We saw this competition and got very interested in it and were hoping to host this as a course project. For the course project most of our students will be working on their own machines so we want a smaller dataset ( possibly 2M training Samples). Can you provide us with such a dataset possibly without any known data leaks?Thanking you -Vivek Sembium",0,None,2,Fri Sep 27 2013 17:37:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5900,/competitions/accelerometer-biometric-competition,None
/atulkum,password needed,,0,None,1,Sat Sep 28 2013 07:39:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5904,/competitions/the-seeclickfix-311-challenge,None
/domcastro,Opening 7z on a Mac,"Hi, you don't by chance have a zip version of the data as I'm having to trawl the net looking for a free app to open a 7z",0,None,2,Sat Sep 28 2013 12:12:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5907,/competitions/the-seeclickfix-311-challenge,None
/aysent,What date were train and test samples created?,"One can see that train sample has issues from Jan 1 to Dec 12, 2012, while test sample has them from Jan 1 to Apr 30, 2013. Can we assume that both train and test samples were dumped on Apr 30, 2013?",0,None,1,Sat Sep 28 2013 14:46:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5908,/competitions/the-seeclickfix-311-challenge,28th
/jimmypop,311 issues???,"Hi. I dont get it... I dont have 311 issues but 113740 issues in my data file... Whats my mistake?!? Cheers, Jimmy",0,None,3,Sat Sep 28 2013 20:06:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5909,/competitions/the-seeclickfix-311-challenge,None
/soates,Congratulations and Thanks,Congratulations to the well placed contestants especially the winner. Many thanks to Kaggle and the organisers for a fun ~24 hours.,0,None,2,Sun Sep 29 2013 03:12:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5912,/competitions/the-seeclickfix-311-challenge,35th
/sharadbanka,Help: Percentage of true vs false predictions in artificially generated questions.csv,Whats a good mix of true vs false answers in an artificially created questions.csv for offline evaluation ? (We tried 50% but the AUC change trend we get isn't consistent with kaggle's evaluation).,0,None,4,Sun Sep 29 2013 04:17:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5915,/competitions/accelerometer-biometric-competition,141st
/mou744654,Is cross-validation useless? ,"Hi Kagglers, I have used the training data for cross validation but I got results that are completely different from the ones I have when I submit my predictions. Cross validation is not informative at all since the test set seems to be very different from the training. Do you have the same experience or is it bug in my approach ?",0,None,4,Sun Sep 29 2013 05:48:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5916,/competitions/see-click-predict-fix,None
/herrfz,exact same challenge as the hackathon?,"same evaluation criteria, same target variables?",0,None,1,Sun Sep 29 2013 12:37:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5917,/competitions/see-click-predict-fix,None
/rizwanhudda,Unable to download the training data set - due to unstable internet,"Hi, I have tried download the training data set for this competition twice unsuccessfully. The download stops after doing about half of it, because internet connection is a little unstable and it goes offline every once in a while. Resuming the download is also not possible. Can someone please make the training data available via torrent file? Thanks!",0,None,4,Sun Sep 29 2013 13:36:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5918,/competitions/facebook-recruiting-iii-keyword-extraction,None
/seemslegit,Problems with data format in excel,"Dear forum users, I am totally new to the world of data science, and I am doing the getting started with excel tutorial in the titanic competition. But my training.csv and test.csv files have a weird format. Everything is in Column A, while in the example everything is nicely formatted. How do I solve this?",0,None,2,Sun Sep 29 2013 16:29:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5919,None,None
/seemslegit,Problems with data format in excel,"Dear forum users, I am totally new to the world of data science, and I am doing the getting started with excel tutorial in the titanic competition. But my training.csv and test.csv files have a weird format. Everything is in Column A, while in the example everything is nicely formatted. How do I solve this? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/7093/test.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9273/train.csv",0,None,2,Sun Sep 29 2013 17:48:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5920,/competitions/titanic,None
/madhavkumar2005,Kaggle points?,Will the competition contribute towards players' Kaggle points?,0,None,1,Mon Sep 30 2013 22:49:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5928,/competitions/crowdflower-weather-twitter,None
/keshla,Submission count reset and competition end offset,I was surprised to find that the daily count for 5 submissions is not time matched with the end of the competition. Thus when the count reset at 0:00 UTC it now reports that I already have 5 entries for the day with 23 hours to go. I have 5 entries for September 30th. You have 5 entries today. You will not receive any more submissions before the competition deadline. Perhaps it will reset in an hour or two. Good luck to all.,0,None,1,Tue Oct 01 2013 02:09:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5929,/competitions/battlefin-s-big-data-combine-forecasting-challenge,26th
/yankov,Machine Learning/Data Science Forums,What are the others forums or groups about machine learning or data science in general you visit on a regular basis?,0,None,1,Tue Oct 01 2013 07:35:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5931,None,None
/lsoft89324,Test data for unsupervised learning,Usual question: is it allowed to use test data for unsupervised pretraining?,0,None,1,Tue Oct 01 2013 11:20:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5932,/competitions/crowdflower-weather-twitter,40th
/noamtene,False positives and mis-tagged appliances,"I am wondering how Kaggle/Belkin intend to deal with the related issues of false positives and appliances that are marked differently in the tagged data and in the test set. By ""false positives"" I am referring to appliances with clear On/Off signatures that are marked as ""on"" for periods in the back-end solution even when there is no signal (of any kind) in the data for the corresponding on and off times. By ""mis-tagged appliances"" I am referring to appliances with clear signatures that appear in the data as well as in the TaggingInfo fields of the training set but that seem to be marked in the back-end solution as something different from what the tag in the tagged data would seem to indicate. There seems to be some self consistency in the public fold of the test data that in some cases is different from what we see in the tagged data. When there are more consistent samples in the test data than there are in the tagged data, it makes sense to assume that one human error occurred in the tagging process than to believe that multiple human errors all occurred in exactly the same way in the processing of the test data. A few of the TaggingInfo fields are clearly off by more than 60 seconds and there are many tags that do not follow the guidelines posted earlier by Sidhant. Those guidelines stated that tags should always be on the exact minute boundary (multiples of 60 seconds) and should refer to whether an On/Off event happened anywhere in the 60 seconds following the tag. Our submissions (and presumably the back-end solution they are graded against) follow these guidelines by definition but the TaggingInfo fields have not been fixed to comply with these rules since the competition started. Would it be correct to assume that the public and private folds of the test set went through the same process and that the division into public and private folds only occurred after the processing was done? If that is the case, consistency between the public and private folds of the data sets should be more reliable than the correspondence between the tagged and test sets. If/when Kaggle/Belkin is going to fix things, I hope they address the issues with the tagged training sets and avoid introducing an artificial difference between the public and private folds. In either case, Admins, please let us know how you are handling these issues.",0,None,1,Tue Oct 01 2013 13:52:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5935,/competitions/belkin-energy-disaggregation-competition,3rd
/maheshakya,Difference between Public and Private leader boards,Can someone explain what is the difference between the public leader board and the private leader board?,0,None,7,Wed Oct 02 2013 11:22:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5943,/competitions/battlefin-s-big-data-combine-forecasting-challenge,268th
/gaborfodor,Missing Public LeaderBoard in closed competitions,I noticed recently that the public leaderboard disappears when the competition closes. I am not sure if this is a feature (single version of truth) or some kind of bug.,0,None,7,Wed Oct 02 2013 14:25:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5944,None,None
/domcastro,Are Teams now allowed?,"Hi, I've noticed teams forming but according to the rules, this isn't allowed? Has there been a rule change?",0,None,3,Thu Oct 03 2013 13:16:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5950,/competitions/stumbleupon,272nd
/davidwilson0,What information is a priori?,"Below, I'll list the information I'm using today and the assumptions I have going forward. Can you please confirm my assumptions? If I'm missing a key piece of approved information, can you let us know? Currently my model uses: testFlightsRev3: Starting position, destination airport, & cost factors Airports file: destination position Weather: 13070419.rap.t19z.awp130bgrbf00.grib2 NOAA RAP Some assumptions: The ""cut off time"" is the time when the plane is at the current lat/long position (this is suggested in a [Link]:http://www.gequest.com/c/flight2/forums/t/5455/cutofftime-is-always-after-scheduledarrivaltime/30370#post30370but not confirmed by an admin) We may use NOAA RAP files published up until the cut-off but not after Note to others: While more accurate data is available from later hours, using it is [Link]:http://www.gequest.com/c/flight2/forums/t/5832/using-live-wind-information/31501#post31501 The time cost penalties only apply to the time elapsed after the expected arrival (the evaluation [Link]:http://www.gequest.com/c/flight2/details/evaluationsuggests otherwise: ""t is the time in flight in hours, and the remaining terms are hourly cost rates related to crew, passenger and overhead costs."" Thanks!",0,None,1,Thu Oct 03 2013 21:15:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5952,/competitions/flight2-milestone,98th
/damianmingle,Update :: Viz Challenge,Anybody have any updates on the Visualization challenge for the 24-hour hackathon?,0,None,1,Fri Oct 04 2013 03:15:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5955,/competitions/the-seeclickfix-311-challenge,60th
/nasserine,Evaluation,"Hi, Until now I do not understand how to calculate IDCG, which data set should I use?",0,None,1,Fri Oct 04 2013 14:46:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5961,/competitions/expedia-personalized-sort,None
/qqfan116201,hard to improve result!,"hi all, now i combine text feature and numeric features in my model, i try some models to learn, but find it is hard to improve. do you generate some other features which is not include in datasets? may dimension reduction be useful？",0,None,1,Sat Oct 05 2013 04:07:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5964,/competitions/stumbleupon,None
/ginotesei,Which machine do you use for data analysis?,"Hi All, after using for many years PCs for my data analysis tasks, I found it could be useful to buy a mac. One of the advantages I though It could have been the more easily modifying, compiling and running open source projects like, for instance, Octave (Open Source version of Matlab) or the Python stuff. So, I bought a Mac Pro Retina in the San Francisco Apple Store in August 2013. It was my first (and probably last!) mac. After 2 months I came back in Italy and the mac stopped to work. I brought it in a Apple Store here in Italy in Rozzano, and they asked me €1000 to fix!! Now I came back to use a PC. I'm really depressed for this. Which kind of machine do you use for your data analysis taks? Thanks --G",3,bronze,7,Sun Oct 06 2013 11:36:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5967,None,None
/triskelion,Use of external data for spellcheck,"I noticed that many tweets contain spelling errors (""Texa"" instead of ""Texas"") or tags like #donttrusttheweatherman. Spell check will repair most of the obvious spelling errors and will give suggestions for splitting up long tags. Spell checkers like http://hunspell.sourceforge.net/ rely on (external) dictionaries. The python spell check by Norvig http://norvig.com/spell-correct.html makes use of big.txt (a corpus of Gutenberg books). If we automate spell check, not hand ""label"" spell check suggestions, does the use of a spell checker fall within the rules of this competition?",1,bronze,1,Mon Oct 07 2013 16:45:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5973,/competitions/crowdflower-weather-twitter,87th
/troy3131880,Issue when submitting Excel file - column errors?,"I keep encountering column errors when submitting my first submission, not sure why. I have my 418 predictions. Please assist. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9344/troygenderbasedmodel.csv",0,None,2,Tue Oct 08 2013 15:52:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5977,/competitions/titanic,None
/yannael,Manually modify AllTagInfo files,Are we allowed to manually modify the AllTagInfo files so the starting and stopping times of devices better match the real times?,0,None,2,Tue Oct 08 2013 18:31:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5981,/competitions/belkin-energy-disaggregation-competition,26th
/aml50411,Dataset Available After Competition Ends?,"Hello, I would like to know if we can use the dataset for future research work. Thanks,",0,None,1,Tue Oct 08 2013 20:47:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5988,/competitions/expedia-personalized-sort,None
/aspaceo,CART Analysis Question,"Hey guys, I have a question and I was hoping somebody may know the answer before I go to the trouble of going over the maths. As I understand it, a classification & regression tree (C5.0 for example) will trail all possible splits at a node, determining the best possible split at that point. My question is will this result in the best possible overall tree given the variables, or is it possible to force a sub optimal and make up the lost ground further down the tree? My motivation is a slightly disappointing result after the addition of some new variables to a model. I'm wondering whether CART, lacking forsight, may not handle these variables optimally. I think I'm wrong, but it's a niggling thought I'd love for someone to dispel. A huge thank you for your help.",0,None,1,Wed Oct 09 2013 11:46:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5991,None,None
/michaelmack0,Error on loading Excel file,"I'm getting an error (file must contain 418 rows) when upload my csv file. My file contains over 800 rows. It has a header row with PassengerId,Survived. The numeric values are separated by commas. What is causing this error? Thanks.",1,None,1,Wed Oct 09 2013 22:43:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5994,/competitions/titanic,None
/noamtene,Overlapping signals in the tagged data,"We are told that Belkin tried to have only one appliance turned on for the tagged training data set (for calibration purposes). We also know that they did not always succeed and that sometimes there may be signals from other untagged appliances that interfere with the tagged data signal. Finally we can see that the training data contains some signals from tagged appliances that are not tagged. Belkin assures us that the appliance turned on and off at least once during the minute when we see it tagged. They are silent about whether it was on or off at other times. My question is about the times when we see a second signal that interferes/overlaps with a tagged appliance event. Can we be assured that the other appliance(s) generating the interference signal is not one of the tagged devices? In other words, is it possible that some tagged appliance (like a TV, computer, Dishwasher, Washer, Dryer, Toaster, Oven or Refrigirator) turned itself on or off during times when another appliance is marked as tagged? Is it possible that the human operator turned on a tagged light during the tagging session for another appliance?",0,None,6,Thu Oct 10 2013 09:53:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5997,/competitions/belkin-energy-disaggregation-competition,3rd
/mihirshekhar0,Can't Load Dataset,"I have downloaded the files provided in the Data section. I extracted the Test.zip file and can read it perfectly well. However while extracting Train.zip, the unzip utility (UnZip 6.00) gave me following error : Archive: Train.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk(s) of this archive.zipinfo: cannot find zipfile directory in one of /home/mihirshekhar/Dataset/Facebook/Train.zip or /home/mihirshekhar/Dataset/Facebook/Train.zip.zip, and cannot find /home/mihirshekhar/Dataset/Facebook/Train.zip.ZIP, period. I believe the download is full and complete. I tried doing it twice on two different machines. File Downloaded From: http://www.kaggle.com/c/facebook-recruiting-iii-keyword-extraction/download/Train.zip p.s. I'm running ubuntu12.04 Please guide!",0,None,3,Thu Oct 10 2013 10:50:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/5998,/competitions/facebook-recruiting-iii-keyword-extraction,None
/chestergrant,Number of Top Participants,"From previous competitions, can anyone tell me how much of the top participant were called in for an interview?",0,None,2,Thu Oct 10 2013 18:34:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6001,/competitions/facebook-recruiting-iii-keyword-extraction,34th
/expmax,How to import data,"How do you import data with a mixture of column types, and unusual double quote separator - like this competition has - using numpy (and/or pandas)? I wrote my own code to do this for now, but I would like to learn how to do it properly. The problems I ran into while trying numpy.getfromtxt or pandas.read_csv: - missing data is either '?' or empty string - do you just ignore rows with missing data; or entire columns, if too many datapoints are missing? or do you replace it with something like mean - mix of float and int columns - do you manually specify each column type? Defaulting all to float won't work for some classifiers... Thank you in advance for your advice!",0,None,1,Thu Oct 10 2013 19:02:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6002,/competitions/stumbleupon,248th
/wcukierski,Welcome!,"It's our first competition with Yandex, but it's their 8th time around the competition block. This is a tough problem with a huge dataset (now is a good time to remind you that we accept zipped/gzipped submission files). Clear some space from your hard drives, and good luck!",3,bronze,1,Fri Oct 11 2013 17:49:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6006,/competitions/yandex-personalized-web-search-challenge,None
/jscheibel,test data looks off,"I haven't looked at the training data yet, but the test data seems formatted wrong for the ""M"" records. in the log file tab they are defined as SessionID Day TypeOfRecord USERID and an example is given like this 744899 23 M 123123123 but in the test data file I'm seeing 34573630 M 28 15 34573633 M 29 22 34573634 M 28 27 etc... I haven't checked the training file yet but I wager there is a similar problem there.. we could compensate for the mistake in the data load but it sure would be easier if you guys changed your data :) (hopeful look)",1,bronze,5,Fri Oct 11 2013 19:28:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6007,/competitions/yandex-personalized-web-search-challenge,None
/karthikbhat0,Introduction & Email IDs,"Hi All, It would be great if you could use this thread for a quick introduction and share your email ID as well so that we can get in touch with you if we believe you have a chance at winning the contest. Please share your email ID here. Thanks, Karthik",0,None,3,Fri Oct 11 2013 21:44:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6010,/competitions/predict-10-key-crime-incidences-for-10-districts-in-karnataka,None
/karthikbhat0,Q&A on Regression Modeling,"Hi All, Please use this thread for any questions you might have on the Regression Model building for the contest. Our Data Scientist who designed this competition Dr. Hongliang Liu will be actively watching this space for any questions you might have. Shoot away.. Thanks, Karthik",0,None,4,Fri Oct 11 2013 21:46:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6011,/competitions/predict-10-key-crime-incidences-for-10-districts-in-karnataka,None
/ipkcoder,Dealing with Large Data Set,I am wondering how some of you guys are dealing with the large data set. I try and open the train.csv file but my computer doesn't seem to be able to handle the size. I have a Macbook Pro 8GB RAM. Any suggestions? Total newb :) Thanks.,0,None,3,Sat Oct 12 2013 02:58:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6014,/competitions/expedia-personalized-sort,None
/id118392,Milestone Winner Methodology,"Summary The flight model and the cost function of the Flight Simulator were simplified. Optimal altitude and airspeed for current aircraft weight were computed for cruise, ascent, and descent. An automatic agent was constructed which minimizes the cost function selecting one of three actions for each time moment. Modeling Techniques The flight cost consists of fuel cost and delay cost. The latter consists of a linear term (crew and other hourly costs) and a nonlinear term (passenger dissatisfaction costs). The nonlinear term is small relative to the linear one and was neglected. The cost equation was: flight_cost = fuel_consumed * fuel_cost + flight_duration * delay_cost Please note that this equation does not include the actual delay of arrival. Hence, all parameters influencing this delay were neglected. In particular, both ground and traffic conditions at a destination airport were not taken into account. This solution uses several simplifications: Only crew and other hourly costs are taken into account. Passenger dissatisfaction costs are neglected. Ground conditions and traffic conditions at a destination airport are ignored. The arrival model is disabled in the Flight Simulator. Wind direction and magnitude are assumed to be constant and correspond to the cutoff time. Airplane goes in a straight line to a destination. Only altitude and airspeed are changing. The second principal optimization concerns flight dynamics. Each time moment an aircraft has one of the three states: cruise, ascend, or descent. Each of the states has its own fuel expense depending on aircraft weight, airspeed and altitude. Optimal parameters for each state were found minimizing the cost function. Cruise state is usually optimal at maximal altitude and some specific airspeed. Descent fuel expense does not depend on airspeed. Descending with maximal airspeed is obviously the most efficient state. Ascent is always the least efficient. The automatic agent minimizes the cost function selecting one of the three actions for each time moment: change altitude and cruise straight for 50 miles; 2000 feet ascent and subsequent descent; descend to a destination (10000 feet on an airport border). At present the optimal flight plans do not look to be natural. In reality a cycle of ascent with subsequent descent can not be more efficient than cruise at constant altitude. Hopefully, the next version of the Flight Simulator will be more realistic.",4,bronze,3,Sat Oct 12 2013 07:49:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6015,/competitions/flight2-milestone,1st
/zenabsaify,Prop_log_historical_price,Data dictionary says that it is the log of mean price at which the hotel is sold in the last trading period . What is this trading period? .. is it something like per week/ per month ? . Can someone Please elaborate,0,None,1,Sat Oct 12 2013 11:29:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6016,/competitions/expedia-personalized-sort,118th
/batarat,COMP*_ columns and range for IDs,"Hello, Is this true, that for every row, columns starting with COMP1_* are related to the competing company X, while COMP2_* for company Y and so on? Or, is it mixed some way across the data? Secondly, are the values from PROP_COUNTRY_ID, DESTINATION_COUNTRY_ID and VISITOR_LOCATION_COUNTRY_ID coming from the same dictionary? Simply, does VISITOR_LOCATION_COUNTRY_ID=DESTINATION_COUNTRY_ID means, that this is a domestic trip? Last, if we find the same PROP_ID both in the testing and training data, does it mean, that it is the same property? EDIT: and hopefully, the last question - are there any observations sorted by the ""random rank"" in the testing dataset as well? Regards,Bogdan",0,None,3,Sat Oct 12 2013 17:40:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6018,/competitions/expedia-personalized-sort,135th
/pvkooten,How did they classify the data themselves?,How did they classify the data in the first place? I am unable to find information on it.,0,None,1,Sat Oct 12 2013 20:34:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6019,/competitions/crowdflower-weather-twitter,3rd
/luistp001,Reasonable solution for past issues,"Hi Belkin and Kaggle, Thank you for listening to our past suggestions and opinions about the nature of the data. I'm still waiting the decision about the possible changes, but meanwhile I think there is another option that would better alleviate some of the issues presented in this competition, and I think it wouldn't take a lot of effort from either Kaggle or Belkin. The best model would be one that is able to find appliances that are on for seconds, minutes, or hours. But as it is now, we're discouraged to send a model that labels appliances as on for long periods of time. Even if our model is correct, just 'one' mislabeled appliance that is on for a long period of time will drastically decrease the score. And it may receive a score worse than all-off benchmark just because of one mislabeled appliance. Noise is expected to affect the leaderboard scores, but the effect of noise in this data is much higher and unique. Now we can select 2 submissions for the calculation of the final leaderboard score. One could be a submission that is slightly better than the all-off Benchmark and our best model. However, to submit our best model would be too risky. We in fact can get a much worse score, and all our effort would be wasted. So please, may I request you to increase the number of submissions that we can select for the calculation of the final leaderboard score? In that case we can select a wider range of models, such as a slightly better than all-off, our best model, and a middle one between those, and we will make sure that mislabeled appliances don't heavily affect our final leaderboard score and that our effort is not wasted. This data has its own obstacles, so I think my request is justifiable. Whatever maybe your decision, thank you for this wonderful competition. It had a lot of challenges, but I learned a lot because of them. Thanks, Luis",1,bronze,2,Sun Oct 13 2013 03:06:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6020,/competitions/belkin-energy-disaggregation-competition,2nd
/jingweixu,Is anyone in RecSys 2013 here? ,Does anyone come to RecSys 2013? I think maybe we could have a meet.,0,None,1,Sun Oct 13 2013 05:06:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6021,/competitions/yelp-recsys-2013,11th
/zhaogang,how to carry on the last phase of the competition,"due to 1st time participate such competition, may i know the detail schedule of the last phase of this competition? such as when will the last 75% be realeased? by then do we still have some day to tune our model? can we just make one submission or can try several times? many thx.",0,None,1,Sun Oct 13 2013 09:31:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6022,/competitions/expedia-personalized-sort,None
/liubenyuan,Provide some references ?,"Hi, Could you provide some references on the reverse of game life ? and if possible, some benchmarks in doing this ? PS : and what is No cellular automata were harmed in the making of this competition ? Liu.",1,bronze,2,Tue Oct 15 2013 03:28:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6025,/competitions/conway-s-reverse-game-of-life,None
/thiakx,Use of public visualization tools,"Hi, For the visualization competition, are we allowed to use public visualization tools like tableau public that requires us to upload data to 3rd party websites? Cheers, Kai Xin",0,None,1,Tue Oct 15 2013 12:20:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6029,/competitions/see-click-predict-fix,54th
/cosmicbboy0,Simple bootstrapping code,"Hey all, There's probably already a package for this, but here's a function that I've been using for bootstrapping. The comments should make it clear to use (I hope), maybe someone will find it useful? -cosmicBboy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9419/bootstrapNB.R",1,None,1,Tue Oct 15 2013 15:56:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6030,/competitions/introduction-to-data-science-fall-2013-w4242-columbia-university,5th
/theharshest,Why is benchmark file for?,Can anyone please tell me what's the use of benchmark file? Does it bear the correct classification of test data and is used to compare our model result with it to make sure we are doing it right? Thank you.,0,None,1,Wed Oct 16 2013 12:04:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6032,/competitions/digit-recognizer,None
/gertjac,practical value of our models,"As far as I know, there is no constraint that we cannot use data from future bookings (within the provided datasets) in our models. Or did I miss something? I'm afraid it reduces the practical value of our models, because there are no data on future bookings in practice.",0,None,1,Wed Oct 16 2013 12:14:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6033,/competitions/expedia-personalized-sort,13th
/triskelion,"Pitfalls, Tips & Tricks","Pitfall: I thought on my first submission this was purely personalized search. Personalized search to me means a different SERP for everyone depending on their click history (or other factors like location, browse history and user-agent). [quote]The goal of this competition is to re-rank top-10 URLs returned by the search engine in response to a user query using the history of clicks on URLs for all users and the user issuing the current query in particular. I think now this is more about improving general search result quality for all users. Many users from the test set are shown page_id's to re-order (Query action T) that they have never clicked on in the training set. So we probably have to gauge relevancy from the clicks of their peers. This will make it so that all SERPS look quite the same. The goal then is not as much to personalize, it is to increase relevancy of the results for everyone. Please correct me if I am wrong.",0,None,2,Wed Oct 16 2013 15:18:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6034,/competitions/yandex-personalized-web-search-challenge,67th
/sterlingmcleod,Is accuracy/error available on submission?,"For competitions that are not yet over, when I submit an entry, am I given the accuracy and error measures right away or do I have to wait until the competition is over?",0,None,1,Thu Oct 17 2013 01:50:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6037,None,None
/leustagos,Test data spliting,"Is the public/private data split by timestamp or randomly? I meant, do the timestamps of public/private coincide at any degree?",0,None,1,Thu Oct 17 2013 02:48:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6038,/competitions/ams-2014-solar-energy-prediction-contest,1st
/michaelong,ETL Guy in a Data Scientist World...,"Hi Guys, I just discovered Kaggle and I'm glad I found it. I was really curious about how to be a data scientist and sought to know if I am capable of being one. I've been doing ETL consulting for the past years and I'm looking to see how my skills would fit in this emerging data science world. Is there any career path for someone like me? Also I've discovered Quant Hedge funds and I'm curious if I can start as ETL for one of these and move up. I wanna learn more about this subject and begin anew as a data scientist. Any thoughts where to start?",2,None,5,Thu Oct 17 2013 04:52:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6040,None,None
/hikerclimb,Are Appliance Id Unique For Every House?,"Hi, Does every house have own set of appliance ids? Or are the id/names shared across homes(this doesn't seem to be the case)? See attached file. Duplicates are marked in red by conditional formatting. Thanks! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9446/LabelAbbreviated.xlsx",0,None,3,Thu Oct 17 2013 05:56:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6041,/competitions/belkin-energy-disaggregation-competition,109th
/arieli,Why scaling the data before PCA degrades classification?,"I am new to the field of Machine Learning, but for what I understand, it is standard practice to normalize the data before applying PCA. When I try to do the following before doing the PCA (on 12 components): scaler = StandardScaler() train_test = scaler.fit_transform(tt) Then the classifier performance goes down from 94% to 82%. Why is that?",2,None,5,Thu Oct 17 2013 21:27:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6045,/competitions/data-science-london-scikit-learn,None
/liubenyuan,Could somebody enlighten me ?,"Hi, Could somebody provide some hint on this challenge ? i.e., how could I segment per audio per bird for training, and how to use the MFCC data ? Liu.",0,None,2,Fri Oct 18 2013 04:28:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6049,/competitions/multilabel-bird-species-classification-nips2013,32nd
/jaberg,Submission disabled?,"After the close of the contest I remember uploading more submissions to get their scores on the private data. Now that I come back to this, I don't see how to do that, has it been disabled?",0,None,2,Fri Oct 18 2013 17:21:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6050,/competitions/challenges-in-representation-learning-facial-expression-recognition-challenge,11th
/wcukierski,Welcome!,"ML researchers rely on canonical datasets to make honest comparisons of results, but this happens slowly when done via publication in scientific literature. Kaggle is in a position to offer a place where interested people can share ideas and benchmark approaches on such datasets. The idea is not to replace publication as the unit of advancement, but rather to spur adoption of the datasets and provide a place where people can discuss approaches outside of papers. The leaderboard may get a bit messy (just look at all the cheaters in the educational ""getting started"" competitions), but we're hoping that people still find this kind of service useful.",1,bronze,2,Sat Oct 19 2013 00:11:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6054,/competitions/cifar-10,None
/joycenv,Welcome to the main phase of Flight Quest 2,"Welcome to the main phase of Flight Quest 2! Thanks to everyone who participated in the Milestone phase of this competition. We learned a lot from your questions, Simulator bug reports, and submissions. New features to this phase include Special Use Airspaces (aka, no-fly zones) and turbulence zones. We've also made some adjustments to the landing model, and to the parameters of the cost function. These details can be found in the code and we can address your questions in the forums. We are looking forward to an exciting competition. Good luck everyone!",3,bronze,1,Sat Oct 19 2013 04:56:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6056,/competitions/flight2-main,None
/mabehles,Problem with data download,"I tried to download the training set several times, but without success. It always stopped with a network failure. Is there any way to get the data files?",0,None,5,Sun Oct 20 2013 11:10:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6059,/competitions/flight2-main,None
/cr21579,What is srch_query_affinity_score?,"What is srch_query_affinity_score? Description given: The log of the probability a hotel will be clicked on in Internet searches (hence the values are negative) A null signifies there are no data (i.e. hotel did not register in any searches) Is it the log of number of times a hotel being clicked by the number of times it appears in the display? Or as the feature name has 'srch_query' in it, is the probability related to some search query?",0,None,3,Mon Oct 21 2013 08:55:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6066,/competitions/expedia-personalized-sort,None
/hikerclimb,"""Flight Status Data Page"" does not exist",Hyperlink exists here: http://www.gequest.com/c/flight2-main/data Link: http://www.gequest.com/c/flight2/details/flight-stats Thanks!,0,None,1,Mon Oct 21 2013 17:35:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6068,/competitions/flight2-main,None
/thomasvoh,Let's discuss the data,"Hey everyone. Seeing as how #2 on homework 3 requires us to fully understand the kaggle dataset in order to create a visualization, I thought I'd start the discussion with the results of some very simple logistic regressions that I ran. Any intro statistics class will tell you not to just lump all your significant variables into a final model without considering possible interactions or confounders, so please do take these results with a grain of salt. I modeled 'label' on a logit scale, using each of the variables independently and found the following variables to be insignificant, without any other variables besides itself in the model, using a level of significance of 0.05 (this does not include 'urlid', 'url', and 'boilerplate'): avglinksize hasDomainLink image_ratio is_news news_front_page parametrizedLinkRatio Does this mean you shouldn't use these variables? No. It just means that perhaps the other ones might be better to explore first, especially if you're in a time crunch. I know I've had a ton of fun exploring 'boilerplate' ;). Feel free to bump this post with any enlightening things that you guys find. Good luck!",2,None,2,Mon Oct 21 2013 18:02:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6069,/competitions/introduction-to-data-science-fall-2013-w4242-columbia-university,5th
/frankpeng0,Mac User,Is there a program that's similar to Multirate that will work on the Mac?,0,None,2,Mon Oct 21 2013 19:58:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6070,/competitions/gross-consulting-predictive-modeling-competition,4th
/arturoc,HelloImageRecognition?,"Hi, This challenge looks like fun, but, for people who have never before work on images, can someone share any hint? How do you extract features from an image? All the points must be noise? What libraries or software do you use to extract for instance, the square with the eyes?",0,None,2,Mon Oct 21 2013 22:25:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6072,/competitions/dogs-vs-cats,None
/ravikanthgarimella,Just entered Data Science world,"Hi All, Greetings for the day!! I have just entered the world of Data science, and I would like to make this as my career. Lucky to have found KAGGLE, which I believe may fulfil my dreams. I have experience in Oracle as a Database administrator and Netezza developer. Kindly help me out where should I be starting from as a Data scientist. Can my experience help me in becoming one? Thanks and Regards, Ravikanth Garimella",0,None,2,Tue Oct 22 2013 07:18:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6076,None,None
/caroline4,Pivot in Excel,"Hi - I am trying to solve the Getting Started With Excel. In the chapter ""I’ve made my submission but I want to do better!"" there is following instruction: ""...Just like before, make an extra column with a 'if' statement. In this case, it will read =IF(E2>18,""adult"",""child""), where E2 was the age column. Now recreate the pivot table (note you have to re-make it) and add the same variables before, you can see if there are more patterns! ..."" I don't understand that. How do I recreate a pivot table including values coming out of a ""if"" statement? Alternatively I tried putting the ""if"" statement into the train-file, but it wouldn't show in the pivot table. But anyway - that's not how it's described. Can someone tell me how to do it?",0,None,2,Tue Oct 22 2013 21:35:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6082,/competitions/titanic,None
/anlthms,Milestone winning solution,"Was anyone able to replicate the [Link]:https://www.gequest.com/c/flight2-milestone/forums/t/6015/milestone-winner-methodology/32284#post32284? It appears that the solution exploited a quirk within the simulator that somehow made it advantageous to oscillate between altitudes. Can someone from Kaggle confirm (or deny) this? If it was an issue with the physics implementation in the simulator, is the issue fixed in the current version of the simulator? I would like to know if trying to decipher the milestone solution is worth the effort.",2,bronze,5,Tue Oct 22 2013 22:34:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6083,/competitions/flight2-main,11th
/pflick,Train data set shows only 3 columns,"Hello When I pull the train data in SAS 9.3 I see only three columns - Id, title , body . The tags column seems to be missing . Any suggestions ? Thanks /P",0,None,1,Wed Oct 23 2013 23:33:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6093,/competitions/facebook-recruiting-iii-keyword-extraction,None
/prerit,Data Analysis and Privacy Concerns,"What is the possible solution if we are not allowed to analyze the data at individual customer level? Objective -> To predict if a customer will buy an insurance product Given -> demographic data and product (insurance, credit card, savings account) ownership data of customers Example -> One acceptable way is to combine customers into groups of 5 (e.g. 500k customers will be then 100k groups) Any input on this will be appreciated! Thanks very much!",0,None,1,Thu Oct 24 2013 11:41:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6096,None,None
/lamtran,display order within same srch_id,I'm wondering if the order of rows in a given srch_id is also the display order given to the user and if this is true for all test/train or when rand_bool is == 1. so srch_id display_order 2 1 2 2 2 3 5 1 5 2,0,None,1,Thu Oct 24 2013 20:24:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6099,/competitions/expedia-personalized-sort,95th
/nicktgr15,Submissions evaluation after the end of the competition,"Hello, I've started working for this competition last week and obviously I will not be able to evaluate my results using the provided evaluation mechanism. For this reason and since I'm planning to have some results during the following weeks I wonder if we will be able to evaluate submissions after the end of the competition using kaggle. Kind Regards, Nick",0,None,3,Fri Oct 25 2013 00:56:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6103,/competitions/belkin-energy-disaggregation-competition,None
/sterlingmcleod,Sequence Time Intervals,"Hello, I was wondering if the time for a sequence in the testing data is the same time of the sequence for a device that is provided in the training data? For instance, all of the samples from device 7 occur over some the time interval 1336645068311-1343594267204. Will the test sequence(s) for device 7 occur over the same amount of time?",0,None,1,Fri Oct 25 2013 02:04:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6105,/competitions/accelerometer-biometric-competition,None
/sterlingmcleod,Activities While Generating Data,"Hello, I had a couple questions relating to the activities that the users were performing when the data was generated. 1) Are all of the users performing the same activity when the data is generated? Or does the ""backgroundness"" of the data mean that the users could be performing any activity? 2) For each device, are the training and testing data generated from the same activity? By this I mean is it safe to assume that the data in the training set for one device is generated in the same activity that the data generated for the device in the testing set was?",0,None,1,Fri Oct 25 2013 02:16:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6106,/competitions/accelerometer-biometric-competition,None
/hikerclimb,Missing method System.Numerics.BigInteger,"Is anyone able to run RunSimulation.exe from exe? I am getting following error: Guess mono wasn't installed correctly? Thanks! /media/NewVolume/Git/Kaggle_Flight_Quest/Data/FQ2_Simulator_v2.0/FQ2_Simulator/FlightQuestSimulatorExecutable$ mono RunSimulation.exe@10 ms: Loading configuration, projection, airportsMissing method System.Numerics.BigInteger::Parse(string,IFormatProvider) in assembly /usr/lib/mono/gac/System.Numerics/4.0.0.0__b77a5c561934e089/System.Numerics.dll, referenced in assembly /media/NewVolume/Git/Kaggle_Flight_Quest/Data/FQ2_Simulator_v2.0/FQ2_Simulator/FlightQuestSimulatorExecutable/Newtonsoft.Json.dllUnhandled Exception: System.MissingMethodException: Method not found: 'System.Numerics.BigInteger.Parse'. at Newtonsoft.Json.JsonTextReader.ParseValue () [0x00000] in <filename unknown>:0 at Newtonsoft.Json.JsonTextReader.ReadInternal () [0x00000] in <filename unknown>:0 at Newtonsoft.Json.JsonTextReader.Read () [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.ReadForType (Newtonsoft.Json.JsonReader reader, Newtonsoft.Json.Serialization.JsonContract contract, Boolean hasConverter) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.ResolvePropertyAndConstructorValues (Newtonsoft.Json.Serialization.JsonObjectContract contract, Newtonsoft.Json.Serialization.JsonProperty containerProperty, Newtonsoft.Json.JsonReader reader, System.Type objectType) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.CreateObjectFromNonDefaultConstructor (Newtonsoft.Json.JsonReader reader, Newtonsoft.Json.Serialization.JsonObjectContract contract, Newtonsoft.Json.Serialization.JsonProperty containerProperty, System.Reflection.ConstructorInfo constructorInfo, System.String id) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.CreateNewObject (Newtonsoft.Json.JsonReader reader, Newtonsoft.Json.Serialization.JsonObjectContract objectContract, Newtonsoft.Json.Serialization.JsonProperty containerMember, Newtonsoft.Json.Serialization.JsonProperty containerProperty, System.String id, System.Boolean& createdFromNonDefaultConstructor) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.CreateObject (Newtonsoft.Json.JsonReader reader, System.Type objectType, Newtonsoft.Json.Serialization.JsonContract contract, Newtonsoft.Json.Serialization.JsonProperty member, Newtonsoft.Json.Serialization.JsonContainerContract containerContract, Newtonsoft.Json.Serialization.JsonProperty containerMember, System.Object existingValue) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.CreateValueInternal (Newtonsoft.Json.JsonReader reader, System.Type objectType, Newtonsoft.Json.Serialization.JsonContract contract, Newtonsoft.Json.Serialization.JsonProperty member, Newtonsoft.Json.Serialization.JsonContainerContract containerContract, Newtonsoft.Json.Serialization.JsonProperty containerMember, System.Object existingValue) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.Deserialize (Newtonsoft.Json.JsonReader reader, System.Type objectType, Boolean checkAdditionalContent) [0x00000] in <filename unknown>:0 [ERROR] FATAL UNHANDLED EXCEPTION: System.MissingMethodException: Method not found: 'System.Numerics.BigInteger.Parse'. at Newtonsoft.Json.JsonTextReader.ParseValue () [0x00000] in <filename unknown>:0 at Newtonsoft.Json.JsonTextReader.ReadInternal () [0x00000] in <filename unknown>:0 at Newtonsoft.Json.JsonTextReader.Read () [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.ReadForType (Newtonsoft.Json.JsonReader reader, Newtonsoft.Json.Serialization.JsonContract contract, Boolean hasConverter) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.ResolvePropertyAndConstructorValues (Newtonsoft.Json.Serialization.JsonObjectContract contract, Newtonsoft.Json.Serialization.JsonProperty containerProperty, Newtonsoft.Json.JsonReader reader, System.Type objectType) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.CreateObjectFromNonDefaultConstructor (Newtonsoft.Json.JsonReader reader, Newtonsoft.Json.Serialization.JsonObjectContract contract, Newtonsoft.Json.Serialization.JsonProperty containerProperty, System.Reflection.ConstructorInfo constructorInfo, System.String id) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.CreateNewObject (Newtonsoft.Json.JsonReader reader, Newtonsoft.Json.Serialization.JsonObjectContract objectContract, Newtonsoft.Json.Serialization.JsonProperty containerMember, Newtonsoft.Json.Serialization.JsonProperty containerProperty, System.String id, System.Boolean& createdFromNonDefaultConstructor) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.CreateObject (Newtonsoft.Json.JsonReader reader, System.Type objectType, Newtonsoft.Json.Serialization.JsonContract contract, Newtonsoft.Json.Serialization.JsonProperty member, Newtonsoft.Json.Serialization.JsonContainerContract containerContract, Newtonsoft.Json.Serialization.JsonProperty containerMember, System.Object existingValue) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.CreateValueInternal (Newtonsoft.Json.JsonReader reader, System.Type objectType, Newtonsoft.Json.Serialization.JsonContract contract, Newtonsoft.Json.Serialization.JsonProperty member, Newtonsoft.Json.Serialization.JsonContainerContract containerContract, Newtonsoft.Json.Serialization.JsonProperty containerMember, System.Object existingValue) [0x00000] in <filename unknown>:0 at Newtonsoft.Json.Serialization.JsonSerializerInternalReader.Deserialize (Newtonsoft.Json.JsonReader reader, System.Type objectType, Boolean checkAdditionalContent) [0x00000] in <filename unknown>:0",0,None,1,Fri Oct 25 2013 07:20:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6110,/competitions/flight2-main,None
/veliko,How to deal with the RAM problem with R,"Hey everyone, You know what R does - it loads everything into memory.... How do you deal with this disaster?? My 8 GB machine is helpless already and I bought it a year ago. How can I deal with it without having to buy new hardware?! Thanks, Veliko",0,None,1,Fri Oct 25 2013 10:54:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6111,/competitions/titanic,None
/derdasmachenmuss,Evaluation of the submissions,"I'm a little bit confused about how the submissions are evaluated. Is it right that the submission file should contain data for all flights that are listed in sampleSubmission.cvs and correspond to the data in ""FQ2 Partial Simulator Data with 1hr weather.zip"" ? Are all of these flights evaluated for the leaderbord core?",0,None,2,Fri Oct 25 2013 11:24:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6112,/competitions/flight2-main,13th
/drorrr,"how the time in ""actualLandings"" file is calculated ?","Hi, i assume that 'time' unit is 1Hour. since the time resolution is 1 min (in Train and test data), i expect to see in the actualLandings file time interval of 1/60 = 0.016667. i look on actualLandings_20130910_1803.csv which was provided. i see that this is the case but all are shifted with offset of 0.001758. why ? moreover , i understand that the cut_off time is 18:03. the first landing in ""KATL"" after this time was 18:04. so i expect the first entry of KATL to be at time of 0.016667, but i see 0.001758 (i.e. -1 min shift), why ?",0,None,4,Fri Oct 25 2013 15:30:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6115,/competitions/flight2-main,10th
/miroslaw,What constitutes code sharing? ,"I'm curious about the rules of code sharing. If I paste some code snippets onto pastebin with public access, do not share the link on competition forums, and somebody participating in the contest finds the code and uses it for their own purposes would I be violating the rules on code sharing?",1,bronze,1,Fri Oct 25 2013 22:37:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6121,None,None
/georgehanson,Dealing with missing data,I could see that there are lots of missing values in the dataset. I wanted to discuss with you guys what sort of techniques you guys are using to handle this issue.,0,None,2,Fri Oct 25 2013 22:52:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6122,/competitions/expedia-personalized-sort,None
/joycenv,What tools did you use?,"Hi Everyone, Thanks for your interest and participation in the Traveling Santa Problem. We have a new holiday competition in the works that will also be an optimization problem. We just had a quick question as we're finalizing the parameters of the competition: -- What tools (languages, not hardware) did you use for TSP?",0,None,2,Sat Oct 26 2013 00:35:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6124,/competitions/traveling-santa-problem,None
/efglynn,"Duplicate Training Images, Different Features","FWIW: Training images 1907 and 1908 appear to be duplicates of Leonardo DiCapiro. The features for 1907 appear to be OK, but the features in 1908 are all in the lower-right quadrant. I believe Training image 1908 should be ignored. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9564/Train-1907-1908.JPG",3,None,1,Sat Oct 26 2013 06:31:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6126,/competitions/facial-keypoints-detection,None
/anujprakash,Data Pre-processing ,"I am beginner in kaggle projects and machine learning. I have just started taking Andrew Ng course on Coursera and did Regression in Week 1. So, I decided to try this kaggle project. Can anyone please tell me me what kind of data pre-processing is to be done before applying regression algorithms.",0,None,1,Sun Oct 27 2013 06:17:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6129,/competitions/ams-2014-solar-energy-prediction-contest,None
/noamtene,Second guessing the backend solution,"As the deadline gets closer, I have been learning more, not only about the data set but (through my submissions) about the back end solution as well. I have been able to confirm that there are many appliances (in every house) which are obviously turned on based on the data while turning them on in the submission results in a worse score. In some cases, I suspect that the wrong appliance may be marked as on in the backend solution while the correct one is marked as off. Regretfully these problems seem to happen more often for the most interesting and challenging events in the submission periods. I have decided to choose my four submissions in order to maximize my chances of winning. This means that I will not be submitting my system's best guess as to what really happened in the four houses because I know that such a choice will result in a lower score. I am now going over my system and purposely turning off it's ability to detect events for which my confidence that they were on is higher than 50% but my confidence that my call will agree with the backend solution is lower than 50%. I suspect that other contestants will be doing the same.",0,None,3,Sun Oct 27 2013 23:43:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6131,/competitions/belkin-energy-disaggregation-competition,3rd
/tymekw,Speed,"Hi, I wonder how slow/fast are your scripts and how do you handle speed issue? I use Python for this competition and I had to simplify my code and get 0.04 lower mean F1 score for better speed (~ 2+ test instances per second on my PC), but still the Test file needs huge amount of time for processing (more than 24h) -- and it's still after initial preprocessing of the data. How much time did it take in your case? How do you handle this issue? I wonder because it is a competition for individuals and it seems the problem needs great amount of computing power (or time).",0,None,2,Mon Oct 28 2013 13:52:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6138,/competitions/facebook-recruiting-iii-keyword-extraction,256th
/del=de2c187800f25672,Visualization - unable to see my description,"Hi, I just submitted a chart for the visualization contest but I am unable to see my description. When I click on edit, I can see the description but it doesn't show up on the visualization page. Can anyone help me? Thanks!",0,None,1,Tue Oct 29 2013 16:43:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6150,/competitions/see-click-predict-fix,None
/naishe,Is there an alternate way to download the data?,"My internet connectivity is not steady, causing the download to break in the middle. I was wondering if someone can share it over torrent or something that can survive over slow and shaky internet connection. Thanks",0,None,4,Tue Oct 29 2013 19:34:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6151,/competitions/facebook-recruiting-iii-keyword-extraction,None
/martin22,Newbie Python question for multiple TfIdf matrices,"I have a quick Python question that I've been struggling with for a while. Let's say I've created 2 sparse matrices using TfidfVectorizer from scikit (say, one for the titles and one for the body). How do I concatenate the results into a single matrix, so that I can use those features separately in a regression? I've tried numpy.hstack and scipy.sparse.hstack to no avail. The problem seems to be related to the sparse matrix types ('csr' vs. 'coo'). Does anyone know how to do this? Thanks!",0,None,2,Tue Oct 29 2013 23:08:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6155,/competitions/stumbleupon,296th
/noamtene,Final score,Will the final score be based on the private fold only? Or will it be based on some combination of the private and public fold?,0,None,2,Wed Oct 30 2013 01:45:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6156,/competitions/belkin-energy-disaggregation-competition,3rd
/geringer,Normalized Discounted Cumulative Gain  - Three versions ?,"In reading over the Wikipedia entry for NDCG, it turns out there are two formulations for Discounted Cumulative Gain. http://en.wikipedia.org/wiki/Discounted_cumulative_gain#Discounted_Cumulative_Gain There is also a third version which used natural logarithm on the second formula. (1) dcg(p) = rel(1) + sum(rel(i)/log2(i)) for i in 2:p(2) dcg(p) = sum(((2**rel(i))-1)/(log2(i+1))) for i in 1:p(3) dcg(p) = sum(((2**rel(i))-1)/(loge(i+1))) for i in 1:p Which of the three versions for DCG will be used by Yandex for scoring? Thanks!",0,None,2,Wed Oct 30 2013 18:40:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6161,/competitions/yandex-personalized-web-search-challenge,94th
/martin22,Definition of Relevance,"Hi, I might be misunderstanding something; but how do you determine the relevance of the last click in a session? For example, these are the first 5 lines of the training dataset: 0 M 4 0 0 0 Q 0 10047345 3080290,4098689 50504886,4217515 9848058,1084315 50534229,4217515 50591618,4217515 26242582,2597528 34623075,3279130 68893581,5149883 50628761,4217517 32262001,3142702 35443881,33397570 108 C 0 506287610 1080 C 0 506287611 M 4 0 From what I understood, the first click has a relevance of 2 (because 1080-108 is greater than 400), but what about the second click? Also, I'd like to confirm that multiple clicks on the same URL do not affect the score. In the same above example, the user clicked twice on the same URL. What would happen if the same URL was clicked twice in the same session, and the first time the dwell time is higher than 400 and the second time it's under 400? Thank you very much.",0,None,9,Thu Oct 31 2013 02:52:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6170,/competitions/yandex-personalized-web-search-challenge,18th
/sandeepmkh,Installing NetCDF4 and HDF5 on MAC for python ,"Hi all, I am unable to install these software on Mac. Please can someone suggest some links or guide me to install these software on Mac. Thanks and regards Sandeep",0,None,1,Thu Oct 31 2013 10:38:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6171,/competitions/ams-2014-solar-energy-prediction-contest,28th
/loveall,How to make a Submission !,"Dear Contest Admin, Could you kindly tell where you have made available a sample submission ? Kindly help with a Sample CSV File along with what shall be the contents of the Description that you require for Kaggle Expedia Personalization Challenge!",0,None,1,Thu Oct 31 2013 15:30:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6175,/competitions/expedia-personalized-sort,336th
/rouseguy,Additional data?,"phunter's benchmark made me think about possible additional data that could be used. Wanted to check if there's a restriction on building the models only using the data provided or could anyone point to additional openly available data source and use them for building the models. For example: finding neighbours of each district. Possible hypothesis is they might be correlated. (or finding distance from the district with the highest crime, etc).",0,None,1,Thu Oct 31 2013 16:40:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6178,/competitions/predict-10-key-crime-incidences-for-10-districts-in-karnataka,2nd
/del=9ab72c46354eedad,Difficulties understand data format,"Hi, I have trouble understanding the following statement (excerpt from [Link]:http://www.kaggle.com/c/yandex-personalized-web-search-challenge/data): For each user from the test period, we take all her queries from the test period with at least one click with the dwell time not less than 50 time units (so, the clicked document is relevant or highly relevant according to our definition of personal relevance, see Evaluation). From this set of queries we filter out all queries with clicks performed at the same unit of time. Finally, from the resulting set of queries we uniformly sample only one query and consider it to be a test query. If the sampled query does not have any short-term context (it is the first one in the session) and the user that asked this query has no search sessions in he training period, we remove this query from the test set (since, it has neither short nor long-term context useful for personalization). We do not disclose any user actions made after the test query. However, the user's actions performed in the same session before the test query are provided (if any). Could you please enlighten me about this? Thank you so much! X",0,None,5,Thu Oct 31 2013 20:52:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6181,/competitions/yandex-personalized-web-search-challenge,None
/ma2rten,What did you use?,"First let me say: Variance was crazy in this composition. My third place (private score 0.88817) scored only 0.88027 on the public leader board. It took quite some nerve to select it as my final submission. I actually made another submission, which would have won had I selected it (Public: 0.88167, Private: 0.88915). I though the other result was more robust, even though that one had a higher CV score and lower variance. You can really image me banging my head on the table right now. I think, the lesson here is: if you are paranoid enough about overfitting you can trust your CV score. My first key insight was: this competition is not about which pages are long lasting. This is first and foremost about what people find interesting. The main topics of interest is food (especially recipes). Other topics are that are mixed (but mostly evergreens) are health, lifestyle and excise. Seasonal recipes are actually mixed too. Supposedly funny videos/pics, technology, fashion, sports, sexy pictures are mostly ephemerals. Some sites are in languages other than English, these are mostly (but not all) ephemerals. Sometimes the frontpage of a news site was in there (e.g. http://www.bbc.co.uk) -> ephemeral. My second key insight was: the features other than text are useless. I only used text features. I used an html parser and to actually parse the html that was given. I then gave different weights to each tag (h1, meta-keywords, title, ...). I also used the given boilerplate and a boilerplate that I extracted myself with a tool called boilerpipe. I had more than 100 of these weighted sets. I then used raw (normalized) counts, stemming, tfidf, svd and lda to preprocess them. For each of those more than 300 sets I used logistic regression to get predictions, which I than combined into an ensemble. I did not use n-grams, but should have. I also tried to use meta feature: how many words, what kind of words (pos-tag distribution, common/uncommon, ratio in dictionary) .... The idea was that items with a good (easy to read) writing style are more likely to be evergreens. I got 0.83 out of these features alone, but they did not seem to add anything to the ensemble. I also have a little bit of secret sauce. Something that I spend quite some time on. This eventually just added a little bit to the final ensemble, but maybe is something I will explore more in future competitions. I am really interested what other people used.",13,gold,29,Fri Nov 01 2013 02:06:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6184,/competitions/stumbleupon,2nd
/ma2rten,What was your best private leader board scores?,In accordance with the sentiment on the forum: here the official thread to whine what how your selected score is lower than your actual best score. selected: 88.817 best: 88.915,0,None,1,Fri Nov 01 2013 03:14:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6186,/competitions/stumbleupon,2nd
/wcukierski,Cheaters Removed,"We have removed suspected cheaters from the leaderboard. Unless your name is fchollet, your rank just improved! If your team was removed from the leaderboard and you believe you are innocent, email compliance@kaggle.com to plead your case (and include an explanation for your statistically improbable similarities to other teams). As always, thanks to those who play by the rules. If you did cheat and we missed you, know that we are always improving our detection systems, and that no historical result is spared from the watchful & retrospective eyes of our scanning bots. At Kaggle, we don't have perfect vision, but what we do have are a very particular set of skills; skills we have acquired over a very long career of looking at csv files. Skills that make us a nightmare for people like you.",11,bronze,8,Fri Nov 01 2013 16:16:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6191,/competitions/stumbleupon,None
/wcukierski,How's it going?,Is this fun? Too hard? Too easy? Intellectually stimulating? Brute-force boring? I'd love to hear from the front lines.,0,None,5,Fri Nov 01 2013 18:07:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6192,/competitions/conway-s-reverse-game-of-life,None
/params,Explanation of the scores in leaderboard,"Can somebody explain how the scores in the leaderboard are arrived at? What evaluation measures are they? F-measure? Precision@k, Recall?",0,None,1,Fri Nov 01 2013 19:02:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6193,/competitions/facebook-recruiting-iii-keyword-extraction,None
/yevgeniy,Kaggle connect,"I am just curious about Kaggle connect described here: https://www.kaggle.com/solutions/connect It is said there that Kaggle Connect data scientists are the top 0.5% from Kaggle's 124,600 member community. Some Kaggle Connect data scientists are full-time consultants, who use Kaggle Connect as a source of full-time income. So my questions are: 1. What is an eligibility criteria for Kaggle connect e.g. how are those 0.5% determined? based on what? location? performance (what kind of achievements do they have to have in competitions)? something else? 2. How exactly does the matching work from a data scientist's perspective? Do you have to wait for a right project and the only thing that matters is your results in competitions? Thanks",0,None,5,Fri Nov 01 2013 20:21:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6194,None,None
/loveall,Submission Format Clarity required,I have posted to expedia the following 3 files: 1) Expedia Datasets Reduced using my Custom IR-AR Filter 2) Classifier Model with Training Run over the Target Class Book-bool 3) Classifier Output Result File Does this helps? Iam sorry i have no clue on submission as per your format!,0,None,2,Sat Nov 02 2013 04:07:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6199,/competitions/expedia-personalized-sort,336th
/debpriyaseal,Encoding of the Training Dataset,"Hi, I am using Python 2.x for this project. And while reading the training data I am getting UnicodeError. Can you please let me know what is the encoding of the training file is? UnicodeEncodeError: 'ascii' codec can't encode character u'\u201c' in position 215: ordinal not in range(128) Did anybody else is using Python run into this kind of problem. Any directions would be helpful. Thanks Deb",0,None,3,Sat Nov 02 2013 07:38:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6201,/competitions/facebook-recruiting-iii-keyword-extraction,None
/pythonomic,Has anyone tried vowpal-wabbit ,"Hi All, Has anyone tried vw for solving this problem. I tried but the result is pretty useless. Basically, I converted the png images to 0-1 scaled numpy.ndarray using scikit-image.rgb2gray[it returns the result with all values in 0-1 range], and saved these data as train.csv.. Converted this data to vw format. Tried training a vw with logistic regression but it seems to be giving terrible result. Am I following the right approach by converting the colored png image to the above format with values between 0-1? Is there any other approach to convert the data so that it can be fed to vw, R etc please recommend. I'm still trying my hands on vw and will share my results soon. Requesting participants who are using/trying vw to share their views/comments/ideas etc. I'm pretty new to both python and ML and trying to learn from Kaggle, web tutorials etc. So, even a small comment/view/thought etc would be helpful for this newbie. Please point me in the right direction. Thanks in advance.",0,None,3,Sat Nov 02 2013 13:21:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6202,/competitions/cifar-10,144th
/jureso,Handling the data,Dear all! I have some problems with making .csv data files useful for my MATLAB analysis. I have problem properly extracting the description field text/strings. Does anyone have a python script or something to split the columns in different files? Any other advice?,0,None,3,Sat Nov 02 2013 17:19:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6204,/competitions/see-click-predict-fix,107th
/loveall,Help Required in Evaluation !,Can any one of the following could be indicators of Relevance Score in the context of Expedia Hotel Ranking! Mean absolute error Root mean squared error Relative absolute error Root relative squared error Kindly help! Thanks so Much,0,None,2,Sun Nov 03 2013 12:22:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6208,/competitions/expedia-personalized-sort,336th
/loveall,Which Score is used to evaluate the Winner!,"Dear Admin, Your Kind help required in understanding the Ranking of Leaders in the Score Board! As there are Two Scores, I would like to understand Both! One Score is Explicit where as the other score Pops up when i move the cursor over the Explicit Score! Kindly Throw Light on the Implicit Scoring Method! Thanks so Much!",0,None,2,Sun Nov 03 2013 12:43:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6209,/competitions/expedia-personalized-sort,336th
/amritanair,Data causing error?,"Dear admin and Friends, Please share some light on this topic. Well as we see the data in test and train are not same exactly. when we try to understand we see that there are more number of data available on train than test of each tag type. We filtered it but we are not able to delete anything as we dont know how to tackle this problem. Will this cause error in our final analysis? how should we get our data correct to get our estimation correct Thanks in advance Regards Amrita",0,None,3,Sun Nov 03 2013 13:15:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6210,/competitions/see-click-predict-fix,None
/sachingupta25,Can I submit after competition deadline,I am working on this project out of interest and not for competition price. I was just wondering if I can keep submitting my solutions after competition deadline and see scores. Thanks,2,None,4,Mon Nov 04 2013 20:22:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6223,/competitions/expedia-personalized-sort,None
/arieli,Help! Website Evaluation not working,"I've made a submission half an hour ago. The file did upload, but the evaluation window stays forever on the screen. My count went down (only one submission left). I see in the list of my submissions a new submission, but I don't get any score (I get 0.0000).",0,None,3,Mon Nov 04 2013 22:04:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6226,/competitions/expedia-personalized-sort,107th
/jay670790,Adam,"Hello, Many thanks to the admins for this excellent and exceptionnaly well managed competition. Adam in particular was just remarkable. So, thank you Adam. :-) Regards,",3,bronze,1,Tue Nov 05 2013 01:18:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6227,/competitions/expedia-personalized-sort,215th
/geringer,Sorting based on Global clicks performs worse than Default Baseline,"In order to validate that my submission generation was working as planned, I generated a file with the URLs reordered simply based on total clicks. The Score was 0.70939. This is less than not doing anything to the order, which is the ""Default Ranking Baseline"" (which scores 0.79056). It seems that Yandex already does more than just sort by clicks. I'm guessing they already have a good amount of personalization built in and they are looking for small incremental improvements. This is the real challenge of this contest.",0,None,10,Tue Nov 05 2013 02:41:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6229,/competitions/yandex-personalized-web-search-challenge,94th
/geringer,Easily compress your submission file:  .zip vs .gz vs .7z,"My submission file is 150.5 MB. Since uploading the file for a submission is much quicker if compressed, I did a check to see which saved the most space: .gz file = 46.5 mb .zip file = 36.1 mb .7z file = 27.3 mb If you are running python, it is only 2 lines of code to create the .7z file: import subprocess subprocess.call(['7z', 'u',outFileName+'.7z', outFileName])",3,bronze,1,Tue Nov 05 2013 02:54:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6230,/competitions/yandex-personalized-web-search-challenge,94th
/ma2rten,Is it okay predict only tags from the train set?,I guess there a two ways to approach this problem. Use the list of tags in the trainset and rank them for each question in the testset. Extract the tags from the text data itself. From the posts of the admins here I get the idea that the first approach is preferred (because it would generalize better to new data). Is that the case?,0,None,5,Tue Nov 05 2013 05:54:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6231,/competitions/facebook-recruiting-iii-keyword-extraction,None
/acarter,Best solution with a 'regular' laptop,"Well done to the winners. I am interested in the best leaderboard scores that can be achieved on a 'regular' laptop; say a new-ish laptop with 8GBs RAM, for example. I'm sure there must be some innovative approaches. Thanks.",0,None,4,Tue Nov 05 2013 12:03:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6232,/competitions/expedia-personalized-sort,163rd
/miroslaw,Question about the rules,"I am curious how the rules on using unsupervised / semi-supervised methods interact with the following rule:[quote] If the data you are using would not be available to your algorithm at the time a new 311 issue is submitted (e.g. it is from the future), it is not allowed. As an example, if I trained a topic model on text data from the combined training and test sets to learn a set of features, would using those features to train a regression model be in violation of the above rule?The way I understand the rule is, if I want to predict on a 311 issue created on May 1 2013, I can only use the data up to May 1 2013 when training an unsupervised model.",1,bronze,2,Tue Nov 05 2013 14:46:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6233,/competitions/see-click-predict-fix,2nd
/asterios,Questions on submission format and missing values,"Hi everyone, I just started looking at the data yesterday and I have two questions. 1) Are we allowed to submit non-integer predictions? This doesn't make sense but I realize that it might improve the score, right? 2) What about those cases in the training set with no values on votes, comments and views (e.g. id 100892)? Are they just zero or incomplete data?",0,None,3,Wed Nov 06 2013 10:42:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6241,/competitions/see-click-predict-fix,83rd
/jorgeblasco,I can't load data,"I use GATE and I can't load the data. Neither in Excel, the file is too large. How can I load it? Thanks!",0,None,11,Wed Nov 06 2013 17:22:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6244,/competitions/facebook-recruiting-iii-keyword-extraction,None
/tdomhan,MFCC features,"Hi, I just wanted to note that the file NIPS4B_BIRD_CHALLENGE_TRAIN_TEST_MFCC/train/cepst_conc_cepst_nips4b_birds_trainfile060.txt seems to be corrupted with -Inf in the middle of it.",0,None,6,Thu Nov 07 2013 09:54:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6249,/competitions/multilabel-bird-species-classification-nips2013,None
/wcukierski,Rolling Leaderboards,"We have implemented a two-month rolling window on submissions for all getting-started competitions. Once a submission is more than two months old, it will be invalidated and no longer count towards the leaderboard. If your team has no submissions in the previous two months, the team will also drop from the leaderboard. This will keep the leaderboard at a manageable size, freshen it up, and prevent newcomers from getting lost in a sea of abandoned scores. Consider this a change to be more like a college class: your professor decides the curve based on how your classmates score, not based on all exam scores since 1986. ""I worked so hard to get that score! Give it back!"" Well, getting started competitions have always been for educational purposes. While the score goes away, you still get to keep what you learned. Besides, with a public ground truth and never-ending timeline, it was never the case that getting-started leaderboards were an honest representation of merit. C'est la vie. Thanks for participating!",0,None,3,Thu Nov 07 2013 15:37:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6251,/competitions/data-science-london-scikit-learn,None
/fellows,Uniqueness of QueryID,"Is it the case that a given QueryID should be associated with only a single Query action record? I'm finding that this is not the case. For example, looking at just the test data file, if I pull the QueryID out of all the Query action records (Q or T) across the whole file I get a list of 1,543,096 elements, but only 890,805 of these are distinct. Has anyone else looked at this? Perhaps I'm screwing up somewhere... Thanks.",0,None,1,Thu Nov 07 2013 23:45:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6255,/competitions/yandex-personalized-web-search-challenge,35th
/nicktgr15,Periodic event in current data,"Hello, I've attached a graph of the absolute values of current for the 2 phases. In the red boxes you can see a periodic event that is consuming power but doesn't exists in the tagging info. What is it? Should be considered noise? Thanks, Nick [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9814/Screen Shot 2013-11-08 at 09.23.19.png",0,None,2,Fri Nov 08 2013 11:05:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6258,/competitions/belkin-energy-disaggregation-competition,None
/ankitagrawal2,"What are some ways that you have tried to convert the data for this competition into standard train_X, train_Y and test_X format so that it can be fed to ML libraries to predict test_Y?","What are some ways that you have tried to convert the data for this competition into standard train_X, train_Y and test_X format so that it can be fed to ML libraries to predict test_Y?",0,None,1,Sat Nov 09 2013 03:52:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6261,/competitions/accelerometer-biometric-competition,18th
/ma2rten,Chances of getting the Job,"Getting the job at Facebook is not my sole motivation for taking part in this competition, but I am still interested what chances are of getting the job. As far as I can see none of the top 3 from the previous two recruiting competitions actually work at Facebook. Is that because they were not interested or because they were not qualified? What exactly are the requirements for the job? How will the candidates be selected and how big of a role will their submission in this contest play?",0,None,5,Sat Nov 09 2013 14:10:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6263,/competitions/facebook-recruiting-iii-keyword-extraction,None
/ericb1,"S1 is ""I don't know if it is weather-related"" or ""I don't know if it is positive or negative""?",I'm embarrassed to ask since this seems so basic but I haven't seen a definite answer to this. Or is this ambiguity of S1 part of the problem? Thanks.,0,None,3,Sat Nov 09 2013 22:27:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6267,/competitions/crowdflower-weather-twitter,None
/michaelreister,0.00000,What's good with that leaderboard though. Perfect model... -BDT (backrow dream team),0,None,1,Sun Nov 10 2013 04:21:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6268,/competitions/ecn-425-modeling-challenge-2013,6th
/deepeshbhatia,What's the best way to measure accuracy/significance of a Stock Prediction Model ?,"Hi folks, I'm looking for insights on how to test the accuracy of a model I built to predict next days stock price - Open, High, Low and Close next day prices. Is there a unique indicator of accuracy or standard approach that should be used to represent the accuracy of this system ? This is a predictive model for prices, not a trading system. Input to the model is the historic time series - end of day stock prices-Open, High, Low, Closing. I've run some initial stats by calculating the ratio of predicted prices to the actual end of day prices i.e if PC represents predicted close price for next day I am simply taking the ratio of PC / C where C is the actual close price for the predicted day and representing it as a %. Have researched some forecasting system models online and understand that the common approach is to use Mean Absolute Percent Error, Mean Absolute Deviation, R-Squared, Correlation, Cumulative Forecast Error. Any suggestions on what would be the best approach? Thanks,",3,None,2,Sun Nov 10 2013 06:42:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6270,None,None
/haobosu,How to deal with Position,"Hi Guys, I am new for data mining and I have a question about how we deal with position. It is obviously the better position is ,the more likely that query with be clicked. So how can we weaken the effect of position and find something more interesting?",0,None,1,Sun Nov 10 2013 06:52:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6271,/competitions/expedia-personalized-sort,None
/sandeepmkh,Data forecasted in 15 weather input files,"Hi all, Please can someone help me understand what is forecasted in the 15 weather input files. Some of it is clear from the naming convention, for e.g. tmax_2m_latlon_subset_19940101_20071231.nc and tmin_2m_latlon_subset_19940101_20071231.nc files probably contain the max and min temperature forecasts respectively. Please can someone provide similar one line description for the other files or some documentation that explains what is forecasted in each of the 15 weather forecast files. Thanks and regards Sandeep",0,None,3,Sun Nov 10 2013 11:20:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6272,/competitions/ams-2014-solar-energy-prediction-contest,28th
/jason49, Understanding AUC,https://www.kaggle.com/wiki/AreaUnderCurve X,0,None,1,Sun Nov 10 2013 17:46:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6277,/competitions/boston-data-festival-hackathon,8th
/benmesick,Comparison to private evaluation data,"We were wondering how our model is compared with the private evaluation data, since our submission contains only the predicted payment and is based on our factors being applied to the public evaluation data.",0,None,1,Sun Nov 10 2013 23:20:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6280,/competitions/gross-consulting-predictive-modeling-competition,4th
/nemo2002,"Problem with rows 5755, 40785, 87911 and 103604 in test-file","Hey guys, I'm complettly new to this competition.....it's really interesting to work with it and to try it. I have already first results, but one slight problem with this 4 rows in the test-file....the problem is because in the description in this rows there are words in """" and this causes errors because to load the data I use this way: fid = fopen('train.csv'); s = textscan(fid, '%s', 'delimiter', '', 'headerlines', 1); s = s{1}(1:end); fclose(fid); s = cellfun(@(s) [s, ','], s, 'UniformOutput', false); t = regexp(s, '""([^""]*)"",', 'tokens'); t(cellfun(@numel, t) ~= 11) = []; t = vertcat(t{:}); t = cellfun(@(t) t, t); I'm sure my problem lies within the '""([^""]*)"" because with the """" in this 4 rows there are more dann one """".....can someone maybe help me?",0,None,1,Mon Nov 11 2013 14:36:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6282,/competitions/see-click-predict-fix,217th
/abhishek,whats up with MG133*?,As many as 23 users in Kaggle with usernames MG133* and 10 in this competition. Can any MG133* explain if they are from a university or something? It looks so weird!,0,None,7,Mon Nov 11 2013 16:13:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6283,/competitions/accelerometer-biometric-competition,32nd
/shmelky,Racing analytics,"I am trying to run a competition to predict horse racing. I have a large data sat with hundreds of variables. It is a very complex mathematical problem. Attached is a small peace of the data just to give an idea. The second tab has the map to the data. I am not sure this will get approved by Kaggle for a competition due to its nature. Anyone interested in giving it a shot? The goal is not only to pick the winner, but which 2 horses are predicted to win and in which order, which 3 horses are predicted to win and in which order. And the order of the remaining horses. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9829/Racing Snippet.xlsx",0,None,3,Mon Nov 11 2013 17:38:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6284,None,None
/innovaitor,Simulation times,"I am surprised to go back and see some posters reporting results in 200k area, using Python with 20 min simulation time. I have been using R 64bit, i7 16G RAM, fully parallel threads (8 cores) and I'm still struggling to get simulation times under 4 hours. Granted, I am using some feature selection/engineering and CV (10 Fld) and not limited to linear modeling. In addition, I'm sacrificing accuracy by limiting simulation tests, in a race to get results before the clock expires. Am I the only one in this boat? Any suggestions on speeding up simulation times (ideally, without resorting to cloud)? Is Python really that much faster than R for these contests (or Big Data ML in general)?",0,None,6,Mon Nov 11 2013 23:18:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6287,/competitions/ams-2014-solar-energy-prediction-contest,34th
/debpriyaseal,wget link the data.,"Hi, I am trying to download the data from the website using the wget link. But I am not able to find one. Can anybody let me know if there is any wget link for me download the data from the server. Thanks Debpriya Seal +1-209-559-3267",0,None,2,Tue Nov 12 2013 00:13:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6289,/competitions/facebook-recruiting-iii-keyword-extraction,None
/niravmehta1,Difference between team_join.tsv and train.tsv,"Can someone please explain the difference between team_join and train files. Both the files have the same fields viz. lender id, team id, joining date.",0,None,1,Tue Nov 12 2013 02:14:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6292,/competitions/predict-new-team-memberships-on-kiva,20th
/mjsniper,Best place to start for an undergrad? (2nd year Actuarial science),"Hi, I've just finished my second year Actuarial Science and was wondering what kind of competitions would be do-able for someone in my position? We have used R, and I have basic programming experience. Am looking to learn/grow/build/become and expert. Any advice?? Thanks! Menzi South Africa",0,None,6,Tue Nov 12 2013 13:30:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6294,None,None
/jokelmeyer,Aquire own accelerometer data,Would it be possible to use the mentioned app to aquire one's own data? Are there any available apps to record accelerometer data over a longer period of time or at variable time epochs and sampling frequencies? Is it possible to get the code of the mentioned app to adjust it? Thanks!,1,None,2,Tue Nov 12 2013 14:41:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6296,/competitions/accelerometer-biometric-competition,None
/ma2rten,My Code,"As promised here is my code: [Link]:github.com/ma2rten/kaggle-evergreen The code is all clean and shiny; I did my best to polish everything and make it readable, so have a look around if you are interested. I did, however, remove one model which I don't want publish at this stage. This code gives you a private leaderboard score of 0.88752 (or 6th place). You can further improve that score by using model stacking using meta features. Suitable features are detected language (have a look at detect_language.py) and number of words per tags. I leave that as exercise to the reader. ;)",9,silver,2,Tue Nov 12 2013 16:02:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6297,/competitions/stumbleupon,2nd
/yhk138749,Q on teams.tsv,"Hello, Can I know a bit more about when the number of members and ""loan_cout"" (currently out?) were measured? In many cases, team size and numbers from team_join activity don't add up. For example, t_26 has 14 members, but I can only find 10 joining activities. Are the remaining 4 members the co-founders of the team? Or is the goal of this challenge is to identify those 4 missing members (who joined after 2012)? Thanks, Yong",0,None,1,Wed Nov 13 2013 11:29:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6303,/competitions/predict-new-team-memberships-on-kiva,None
/datachronicle,Interesting analysis with Crime data,"I am a newbie and have some experience with IBM SPSS Modeller. I would like to learn and play with several data sets. I have crime data from 2009-2013 from my city including lat/lon coordinates of crime, address, date of occurrence, victim count, type of crime. Any ideas or pointers to what interesting analysis and insights can be produced? Thanks for your time.",0,None,5,Wed Nov 13 2013 15:47:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6304,None,None
/kimberlylloyd,Estimating population standard deviation with too small samples!,"Hi all, I have a table from the government that lists medical procedure codes, medical specialties, and some sort of total. It looks something like this: Code | Specialty | Allowed ServicesProcedure1 | Allergy | 432Procedure1 | Cardiology | 3049Procedure2 | Allergy | 3974Procedure2 | Cardiology | 25330etc. I don't have a definition of what those allowed service totals actually *are*; I suspect they're all physician procedures billed to Medicare for a calendar year but for all I know it's average per state or something. I work for a multi-specialty physician group, and I've been asked to develop a report where a user can enter a time range and specialty, and get a list of all the providers and ""how far off"" each provider is from the Medicare totals per procedure code. My first thought was to use standard deviations -- any data within 1 standard deviation would be ""good""/green, anything within 2 standard deviation would be yellow, 3+ would be red. I can't get the standard deviation from the Medicare data. I can look at our physician group procedures, but sometimes we have only a handful of physicians for a given specialty. For example, we only have 3 allergists, so I think that is far too small of a sample to use the corrected sample standard deviation as an estimate of the population standard deviation. I'm trying to find some way to get the best of both worlds -- to be able to use the Medicare data from the overall population *and* my sample population to get a better standard deviation. Some Google-fu suggested that Student's t-Distribution might be the way around this if I assume the Medicare population distribution is normal, but I couldn't figure out how to actually estimate the population standard deviation from the t-Score. Does anyone have any suggestions? I have a Ph.D. in mathematics (number theory), but I took only one sad little probability course as an undergrad and haven't used statistics since, so I'm not sure what model(s) I can use for this project. Any help you can give is much appreciated!",0,None,3,Wed Nov 13 2013 20:02:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6306,None,None
/del=39e46d5de7553b12,Unable to map key error,I am getting the following error while uploading a submission: Unable to map key '6034196'. Can someone explain me what does it mean?,0,None,2,Thu Nov 14 2013 01:05:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6307,/competitions/facebook-recruiting-iii-keyword-extraction,157th
/leobuettiker,No luck with glmnet,Hi all I tried a very simple model glmnet under the assumption that it would work better than the simple Spline Interpolation Benchmark. But somehow it did not! I'm still very new to kaggle and ML in general. I made the code available as a gist https://gist.github.com/leobuettiker/7467042 I'm highly interested in any feedback. Why does it not work better than the benchmark? Did I do a coding mistake? (I don't hope so!) Is glmnet the wrong model? Are the parameters wrong? Any input that would help me to understand my mistakes is highly appreciated. I hope I might do better on other competitions.,0,None,4,Thu Nov 14 2013 14:58:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6312,/competitions/ams-2014-solar-energy-prediction-contest,117th
/themad1,Correlation of Forecast and train dates,"I see from the data description, that the first dimension is the date of the model run and will correspond directly with a row in either the train.csv or sampleSubmission.csv. However, are we to use the forecast information for say 4/1/2000 and correlate it to the mesonet stats for 4/2/2000? Isn't the task to take a day's forecast to use it to predict the solar energy a subsequent day? Thanks",0,None,1,Thu Nov 14 2013 15:08:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6313,/competitions/ams-2014-solar-energy-prediction-contest,141st
/pythonomic,What data prep you all are doing?,"What type of data preprocessing you are trying? I just read the image and convert it from color to gray and then normalized the values to be in 0-1 range. Im trying to play around with this data and the results I'm getting are not that good, its giving ~ %39 accuracy. Would appreciate, if you could share more on the type prep you are using. Thanks in advance.",0,None,17,Fri Nov 15 2013 17:59:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6318,/competitions/cifar-10,144th
/bryangregory,Quick question for those of you who have been a team member in a Kaggle competition,"Can anyone who has previously been a member of a team in a Kaggle competition tell me if all members are allowed to make submissions, or is it only the designated leader who can do that? Judging by the Kaggle FAQ, it seems the only purpose of designating a leader is for official communication with Kaggle, but I just wanted to make sure. Thanks, Bryan",1,None,5,Fri Nov 15 2013 19:04:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6319,None,None
/mjll230,"How to deal with the issue that output space is a vector, not a scalar","Hi all, As you can see in this challenge, each sample's prediction should be a vector, not just a single scalar. In this case, any suggestions on how to handle this issue? I tried use the neural network in scikit, however, it only accepted that each training sample's label y is a scalar. So are to many other classification algorithms in scikit. Thanks in advance, best,",0,None,1,Fri Nov 15 2013 22:18:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6320,/competitions/crowdflower-weather-twitter,None
/charmander0,test data,I can't seem to find the test data. Can someone tell me where it is located?,0,None,2,Sat Nov 16 2013 06:35:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6322,/competitions/facial-expression-prediction,34th
/rcredburn,Test data release,Will the full test energy data be released? I will be continuing research on this topic and would like to benchmark subsequent development against the final leaderboard. -Robert,0,None,3,Sun Nov 17 2013 05:42:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6324,/competitions/ams-2014-solar-energy-prediction-contest,23rd
/maoshouse,Assigning labels,"Hey everyone, I'm very new to machine learning in general so please excuse some of my errors :). I've been through some tutorials and videos pertaining to scikit learn so I have a good idea of how to use its functions. I guess the tutorials were pretty simplistic so it never addressed the case where we have multiple labels. I am stumped on how to assign the different weightings to each label. As far as I know if I learn from the training data and predict, I will be returned with a vector of 1/0 as boolean predictions per label, rather than a numerical one. In this case, for example I could have s1=1 ... s5=1, instead of predicting a decimal value. Any input and hints would be appreciated!",0,None,7,Sun Nov 17 2013 18:49:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6325,/competitions/crowdflower-weather-twitter,None
/antonioconstandinou,Proportion of women who survived is nan,"Hello to all, I am having some issues with my code for the titanic project. It seems as if the proportion of women who survived is nan and therefore giving me the following error: proportion_women_survived = np.sum(women_onboard) / np.size(women_onboard)RuntimeWarning: invalid value encountered in double_scalars I understand that the error may have something to do with dividing np.sum(women_onboard) by 0 therefore creating the error, but what I fail to understand is how is the np.size(women_onboard) = 0? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9882/titanic.py",0,None,3,Sun Nov 17 2013 21:33:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6326,/competitions/titanic,None
/karthikbhat0,Final Submission Guidelines,"Hi All, You all have 40 hours to make the final set of submission to bump up your score and shake up the leaderboard. The prediction submissions by Nov 20th will account for 50% of the evaluation criteria. We would like you to submit Code + Methodology/Thought Process by Nov 27th which will account for the remaining 50% of the evaluation for the prize winner. Please share your Github repository for the Code submission. You can use any medium necessary to share your model building/training methodology to make your case for the top spot. To summarize: By Nov 20th 12am PST: Submit all your predictions By Nov 27th 12am PST: Submit clean code (Github) + Methodology (email to karthik.bhat@touchpointsinc.com) Good luck All!",2,bronze,1,Mon Nov 18 2013 08:16:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6330,/competitions/predict-10-key-crime-incidences-for-10-districts-in-karnataka,None
/philipskokoh,Dwell time of a click at the end of session log,"From the evaluation page, dwell time is defined as follow: Dwell time is the time passed between the click on the document and the next click or the next query. Based on my understanding, the dwell time of a click is computed as timePassed of the next action - timePassed of the click What happened if the click is at the end of session (last action of the session)? How do you determine whether the url is not relevant, relevant or highly relevant? Thank you.",0,None,5,Tue Nov 19 2013 06:18:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6334,/competitions/yandex-personalized-web-search-challenge,None
/sissipricess,I can't make a submission,"I often fail to upload my result, when I selected a csv file and upload , it always stop the upload page, it seems that I lose the response from the net,what's wrong with it?",0,None,1,Tue Nov 19 2013 07:50:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6335,/competitions/accelerometer-biometric-competition,372nd
/donghyun,Are transductive methods allowed?,Can I use test data for unsupervised learning? I'm trying to use feature learning methods for this challenge.,0,None,6,Tue Nov 19 2013 08:00:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6336,/competitions/multilabel-bird-species-classification-nips2013,8th
/pallavi125220,Flight airways,"Hi, Can the flights take paths other than the predefined airways (such as those present in asdiairway) or are they the only permissible paths for any flight? Thanks.",0,None,2,Tue Nov 19 2013 08:09:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6337,/competitions/flight2-main,42nd
/georgehanson, Ways to handle the unbalanced data?,"Since the data is highly unbalanced, what are the best ways to deal with this issue. Right now I am using stratified sampling so that I have almost equal number of 1s and 0s for the booking_bool. This definitely doesn't consider the searches in blocks. I mean for each srch_id, I am sampling just two rows, one with booking_bool value 1 and the other 0. I don't think this is the best way to do it. Which sort of methods did you guys try out?",0,None,1,Tue Nov 19 2013 15:07:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6339,/competitions/expedia-personalized-sort,None
/joycenv,Double points you say?,"[Link]:https://www.gequest.com/c/flight2-main is by far the most complex competition we have ever run, and we know that getting started is much more than downloading and reading a csv file. To reward this effort (and spur on the fence-sitters), we will be doubling the ranking points participants earn in this competition. Go get 'em!",1,bronze,6,Tue Nov 19 2013 18:22:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6348,None,None
/marisjukss1,After competition,It would be nice for us to learn from each other and disclose our approaches after the competition.,0,None,1,Tue Nov 19 2013 18:48:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6349,/competitions/happy-or-sad-mcgill-comp-598,5th
/divinocesar,NLTK Tagging,"Has anyone used POS tagging? Is it possible to tag a entire sentence or a ""n-gram"" instead of words? I'm currently trying with Python + NLTK and word POS tagging but with not improvement on RMSE.",0,None,3,Wed Nov 20 2013 01:05:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6351,/competitions/crowdflower-weather-twitter,129th
/phunter,Congratulations to all of you!,"You have been doing great! Please check the final stand, and take time to prepare for code submission and document/media submissions if you want the prize. Please check the previous post ( [Link]:https://inclass.kaggle.com/c/predict-10-key-crime-incidences-for-10-districts-in-karnataka/forums/t/6330/final-submission-guidelines) for submission details. If you have any comments suggestions about this competition, please post here and I appreciate all your comments. Again, congratulations and wait for checking your review submissions. Regards, Hongliang Liu [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9889/Screen Shot 2013-11-19 at 4.48.30 PM.png",0,None,3,Wed Nov 20 2013 01:51:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6352,/competitions/predict-10-key-crime-incidences-for-10-districts-in-karnataka,8th
/curtis0,Someone else using (R)MySQL as Database? Need some Feedback,"Hey my friends, I'm just a little bit frustrated how ""bad"" my idea was to load the data into a MySQL database. But I also don't want to change this idea because I don't have that much experience about other comparable technologies. So it would be very helpful for me if someone else - using MySQL with the RMySQL package - could give me some advise. I've read already 100k lines from the train file and it took me about 32 minutes without any errors. I'm not sure that this is a good time for such less lines of code. So this way would take me about approx. 40 days to read the whole train file - without any errors. I don't want any sounrce code because I'm taking this as a challange but I also don't wanna give up because this project is pretty cool indeed. So just give me advise on how to configure my RMySQL packge, MySQL database or whatever. I already changed so many things in the MySQL.cfg like how many data can be load etc. It did not change anything on my computing time. Btw I'm not working on a Linux :D Edit: Maybe I need to ask you if it's the RMySQL package or my XAMPP(MySQL) that limits the conncetions/speed? Thanks for this great project! Cheers",0,None,3,Wed Nov 20 2013 17:18:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6353,/competitions/yandex-personalized-web-search-challenge,None
/angiewu,Remove non-significant factor levels,"How to remove non-significant factor levels in a regression estimate in R? For example, there are 30+ levels in tag_type variable, and I want to drop some of them from the regression. Is there any function or package to make it one step? Thanks!",0,None,3,Wed Nov 20 2013 23:15:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6357,/competitions/see-click-predict-fix,428th
/nickdoropheev,Usage of older data,"Hi, Kagglers! Every here and there in this competition you can find an advice to use only last N months of the training data to get better results. I've been training gbm on the whole train data with some extra features like city, created_month etc. without one hot encoding (just treating factor features as factor()) and gained 0.31. But when I tried to train the same model on the last 3 months it gave me much worse results (around 0.43). Maybe anyone have an idea about possible reasons behind this behaviour?",0,None,5,Thu Nov 21 2013 13:21:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6361,/competitions/see-click-predict-fix,70th
/plessthan05,clarify the evaluation of predicted synonymous tags,"Hi, I am not finding the passage describing the penalization of predicted tags that are (""subjectively"") synonyms very clear. Particularly, I'm not fully following point 3 in the evaluation description [1]: To receive credit, the tag you predict must be an exact match, regardless of whether you believe the tags are synonyms. Why aren't synonyms counted? ... 3. Participants are equally penalized for predicting a synonym of a correct tag, so the task can be framed as not only predicting a tag, but also modeling the distribution(s) of potential synonyms The wording, ""equally penalized"" is throwing me off here. For example, if I were to predict the tag ""python"" for a sample where one of the actual tags was ""python2.7"", then just to be clear, since this is not an exact match, is it considered as wrong (""equally penalized"") as a predicted tag of something that is completely arbitrary/random? This is how I think it is too be understood, but just want to ask to be completely sure. [1] http://www.kaggle.com/c/facebook-recruiting-iii-keyword-extraction/details/evaluation",0,None,1,Thu Nov 21 2013 17:09:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6362,/competitions/facebook-recruiting-iii-keyword-extraction,227th
/jiashuzhao,Any raw URLs?,Hi I am wondering whether the raw URLs are avaliabe. Thanks!,0,None,1,Thu Nov 21 2013 19:53:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6363,/competitions/yandex-personalized-web-search-challenge,None
/ryanjones,Scores without leakage.,"I'm very curious to know what scores people are getting without using any leakage. Perhaps shortly, you could also tell me something about your algorithm. The best I've been able to get is just over .86. Has anybody achieved > .9? Thanks!",0,None,11,Fri Nov 22 2013 01:40:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6365,/competitions/accelerometer-biometric-competition,49th
/margaritaakseshina,Normalization and centering of images in MNIST,"I solve these problem using RandomForest of scikit-learn in Python. (I have about 96%as a result.) Now I want to apply my saved model for digits written by me, my friends and so on. First of all I want to understand how to preprocess raw images. On the page of MNIST Database I have found following: «The digit images in the MNIST set were originally selected andexperimented with by Chris Burges and Corinna Cortes usingbounding-box normalization and centering. Yann LeCun's version whichis provided on this page uses centering by center of mass within in alarger window» But what is «bounding-box normalization and centering»? I can't understand what algorithms they used.",0,None,1,Fri Nov 22 2013 10:24:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6366,/competitions/digit-recognizer,None
/kaka5124808,train is too large.,"train file is about 5G,too large.I failed to download after several times. Can it be split into some parts, we will download one by one ? Thank you very much !",0,None,1,Fri Nov 22 2013 17:23:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6368,/competitions/yandex-personalized-web-search-challenge,62nd
/vbs0711,test set question,"On page: https://www.kaggle.com/c/yandex-personalized-web-search-challenge/data ""From this set of queries we filter out all queries with two or more clicks performed at the same unit of time. "" Does this mean that each TEST query has at most 2 urls can be labeled relevant, and they can NOT be the same label? ""Finally, from the resulting set of queries we uniformly sample only one query and consider it to be a test query. "" Can we get more details about the ""uniformly sample"" algorithm? Thank you.",0,None,4,Sat Nov 23 2013 06:43:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6373,/competitions/yandex-personalized-web-search-challenge,45th
/rubennaeff,Linear relation between log price and survival rate,"If you only look at fare prices, it seems that there is a pretty accurate linear relation between the natural logarithm of the ticket fare and the survival rate (see enclosed image). I found that: survival rate in % = 0.2 log(price in $) - 0.2, with an R^2 of 95%, which is pretty good I thought. The only question here is, what to do with this information? Obviously the data is not independent: you can see that female passengers had more expensive tickets. Splitting the data into bins again (gender, age, etc), and trying to find formulas for every bin is not really giving great results. Thought I would share it anyway. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9906/Screen shot 2013-11-23 at 8.20.26 AM.png",1,None,6,Sat Nov 23 2013 14:54:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6375,/competitions/titanic,None
/jthakrar,Result Upload Problem,I have been trying to upload a file and I get errors. The data is a single column file with 9000 rows of 0s and 1s. Here's a sample of what I have - 1010000100111 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9908/testLabels.csv,0,None,2,Sat Nov 23 2013 21:23:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6377,/competitions/data-science-london-scikit-learn,None
/driftking,Any tips on stacking with multilabels?,"So, I believe the basic method for stacking is... train classifier inside cv loop record predictions on cv sets train classifier on all data and record predictions stack predictions from classifiers into one vector each for cv and full fit something like ridge regressor on cv predictions predict from regressor on full set of predictions Which i have successfully implemented in the past, but I have never worked on a multilabel problem before. It seems stratified k fold cross validation only accepts a y input that has 1 dimension Is there anything else in sci-kit learn I should be using or do I have to do something crazy like fit models on one column at a time and stack classifiers for each column before combining together at the end? Any help would be much appreciated!",0,None,4,Sun Nov 24 2013 17:22:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6379,/competitions/crowdflower-weather-twitter,25th
/dima42,Reflections,"Great job Mario, Rafael, and everyone else. We learned a lot and had great fun. Here's a rough writeup of our progression. All scores are for the private leaderboard unless noted otherwise. short version: you can make a ~0.895 model by *split each clip into half-second windows overlapping by 80%. for each window, determine the average value of each mfcc coefficient. (so you have 16 features for each window) *use a random forest classifier with 87 yes/no outputs *average the probabilities for each window to get the probability for the entire clip long version: On Oct 27, my teammate Matt submitted empirical probabilities for each bird, which got an AUC of 0.64 and jumped us into second place (of 6) :). During this time (Oct 20-Oct 30) we worked on trying to understand how to use scikit-learn and I tried to remember what a Fourier transform is. Our first ""real"" model (sorry Matt) was as close of a copy as we could make of [Link]:http://sis.univ-tln.fr/~odufour/fichiers/DufourICMLWshp_v6.pdf. Thank you, Mr. Dufour! The way we plugged this model into a multilabel problem was using scikit-learn's OneVsRestClassifier with SVC as the base (I still don't know what a OneVsRestClassifier or a SVC is; I think the lesson I learned here is that by reading API documentation of input and output, you can just try things and maybe they'll work). This achieved a score of 0.87. At this stage, we pursued two paths. One path was working on developing a multi-instance classifier which we dubbed Quandorff (using a Hausdorff algorithm with quantile clusters); Matt can tell you more about this because I don't really understand it. We also worked on modifying the existing model until very little of it remained. The first modification we made was to turn the problem into a 87 yes-or-no output problem, and plugged it into a random forest. We think we got this idea from reading [Link]:https://github.com/gaborfodor/MLSP_2013; thank you very much for publishing it. This achieved a result of 0.893. At this point we decided that we could not substantially improve the classifier (although Matt added a custom gain ratio criterion to scikit-learn's random forest based on the results from [Link]:https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CC4QFjAA&url=http:%2F%2Fwww.dsic.upv.es%2Fusers%2Felp%2Fcferri%2F105.pdf&ei=PaKSUsHEJ-KJjAKpl4HwBg&usg=AFQjCNEqZaDg56SCy6pTQ88uCftsLfrxgQ&sig2=_880W_RhfBEMxWaGhOtoTA, sadly this did not help us). Mr. Dufour's feature engineering algorithm has four parts: generating MFCC's, splitting clips into windows, forming features out of MFCC's for each window, and then recombining the classifier results from each window to get a clip result. We first made advances on the MFCC generation front. We adapted [Link]:https://github.com/jameslyons/python_speech_features for MFCC generation. We cut off frequencies below 500hz (we discovered this empirically, but [Link]:eecs.oregonstate.edu/research/bioacoustics/syllable_tech_report.pdf‎ talks about it), changed the scale from Mel (incidentally designed for human speech, not bird speech) to include a custom corner frequency (we used 1500hz). None of these parameters should be assumed tuned; they're just better than the default ones. We also reduced the coefficients used to 14 of 21. These changes improved our public score by 0.005 and our CV score by 0.005, but did not change the private score (so we were still at 0.89). We still suspect that this is a small anomaly in the private set data, but we also suspect from reading more papers that using 13-14 of ~26 coefficients would have been better (but we returned the computer we borrowed for our more cpu-intensive runs, so we might not get around to determining this). Our 2nd advance was on making features out of each coefficient window. Mr. Dufour's algorithm involved the absolute value sums and variances of the MFCC coefficients and Delta and Delta Delta MFCC's. Through experimentation, we discovered that feature reduction was a good thing, and that instead of all of these, we should just average the MFCC's for each window. This got us to 0.905. Matt remarked that MFCC Delta and Delta Delta features might be designed for voice recognition, where it is important not only who is speaking, but what is spoken. This led us to read about musical instrument analysis; we recently switched from averaging to primary component analysis thanks to this paper. (It improved results by only 0.003 but in theory I do think it is more robust, if overkill.) Switching to shorter windows and using the mean, rather than max, window-probabilities to determine the clip-probabilities got us to 0.91. Borrowing 16GB of ram and thus upping forests from 25 to 250 got us to 0.915. There are a few weak points in our model which we haven't had insight to attack. Our windowing and recombining algorithm is tremendously rudimentary and has no theoretical backing. We attempted determining syllables rather than all possible windows, but did not succeed. While primary component analysis adds some temporal analysis to our otherwise entirely spectral model, our model is still not substantially better than the entirely static MFCC component averaging. Perhaps merging it with some spectrogram image-based features (which could capture temporal evolution) would help. We didn't do a lot of leakage testing, but if for each clip we submit (0.8*probability of that clip + 0.1*probability of previous clip + 0.1*probability of next clip) both our public and private scores would go up by 0.002 (we tried this once, prompting my leakage question; we didn't select that submission and stopped investigating). It'd probably be pretty easy to improve this substantially by tuning and/or figuring out where the site transitions are. Site grouping the test set would help in general, but by the time we found this would be allowed, we were a combination of tired and uninterested in that aspect of the problem. We never tried combining empirical probabilities or sound clip lengths (but we did note the 0.65 auc for empirical probabilities and 0.6 auc for sound clip length). We optimized mostly for CV score rather than leaderboard score (though the trends matched pretty well); our current 10-fold cv is 0.943 +/- 0.010. Not sure how much of this is overfitting and how much is differences between the test/train set. We'd be curious to know how the organizers split the test and train sets, and/or if they have more data. We have a private git repository but it's currently a mess; we may or may not clean it up and will post a link regardless within ~5 days. We can also privately send messy code for verification sooner to anyone who requests it. (python/scikit-learn/pandas stack; It will currently give results within 0.0005 of our best results) Thanks again for all your previous publications and the competition you provided. Thanks also to the organizers for the dataset, and to Kaggle for the platform.",4,bronze,16,Mon Nov 25 2013 04:24:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6383,/competitions/multilabel-bird-species-classification-nips2013,2nd
/milakov,Bug in choosing submissions for the final dataset,"There seems to be a bug in the algo system uses to choose submissions for final dataset. ""Multi-label Bird Species Classification - NIPS 2013"" challenge just finished. I marked 3 submissions with highest public score 0.89568 (obviously, I discovered this public score only after the contest finished), but in the leaderboard the system shows public score 0.90115 corresponding to the record I didn't mark. My actual score should be lower; I should have swapped places with DB2 team.",0,None,6,Mon Nov 25 2013 07:02:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6384,None,None
/abhayprakash,Clarification regarding the term meaning in log,"I have a doubt for the queryID meaning. Whether an unique ID is given to the ensemble of [userID, SessionID, ListOfTermsInQuery] or is it given to the ensemble of [ListOfTermsInQuery]? In this case, ListOfTermInQuery means only the textual query. Another thing, in the short test file, I am not finding any repetition of UserID in different session. I want to make sure that the userID can actually repeat in different session and then only we will get the long term history of the user. Right? Thanks in advance!!",0,None,2,Mon Nov 25 2013 13:04:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6408,/competitions/yandex-personalized-web-search-challenge,19th
/davidthaler,Anomaly in standings,"In the competition that closed yesterday, there is a team ranked 664th out of 663 (at this moment). I have also noticed this in Expedia and in Blackbox.",1,bronze,1,Mon Nov 25 2013 17:00:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6410,None,None
/geringer,Tips for Handling Large Data Files,"I had previously posted some of this information in another thread, but I thought it deserved its own thread so anyone can find and also contribute to this information. For those of you still struggling to open and process the files for this competition, here are some ideas that I used to successfully process the files:1. You can view the first 1000 lines of the file by using the linux command: head -n 1000 train > trainhead.txt2. There is a lot of data in those files. Figure out which pieces of data you are going to work with (at least for your first iteration). Then write a separate parser to read the file, strip out the info that you need and write that to a separate file(s). In my first pass, I wanted global clicks per URL and personalization data based on dwell time. You can always go back, re-parse and get more data as needed, such as Domain vs URL3. Your parser should be written in a very fast compiled language such as C, C++ OR make sure you use a language with fast JIT compiler such as Java, Pypy, Julia, etc.. (I don't know if R does JIT) My parser runs in about 10 minutes, my submission process takes about 2-3 hours (which I want to rewrite to get down to about 10 minutes). 4. In your parser, you can read the train data in session chunks. Extract what you need, save that data away, delete that session's memory and then read the next session. This cuts down tremendously on the RAM required to parse the file. You should be able to parse the file with a 4GB machine.5. When writing out the intermediate file, you can save a lot of RAM if instead of building up the entire output file in storage, just write it out to the outFile in chunks. More specifically, write your output lines to an array, when the array length hits 1000 rows of output, write it to the file, clear the array and continue with parsing.6. If you really want to use a database, make sure it is up to the task. The transactions need to be be completed asynchronously, you don't want your write transactions to slow down your parser. 7. You can speed things up if you have two separate (physical) hard drives. Reading and writing to the same hard drive will really slow things down. Read from one drive, write to the other if you can. 8. If your database supports bulk load try to use that. In this case, you would parse the file, generate the bulk load format and write that out to a flat file. Afterward, run the the bulk loader with this file. 9. If you plan to use SQL, make sure you are using static not dynamic SQL. (BTW its been a while so the terminology may have changed). The ""access plan"" for the SQL statements needs to be bound to the database before your start, at compile time. If you write dynamic SQL, then each and every Insert statement needs to go through the access planning process during runtime, therefore much slower.10. If you can afford it an SSD will really speed things up. I initially considered upgrading my RAM, and do the whole thing in core, but I was out of memory slots which meant I needed to buy ALL new RAM. Not worth it, so I just got smarter in my parser. Hopefully these ideas should get you started. On the other hand if what I am saying is totally foreign to you, you may not have sufficient computer science background to compete in this one.Good Luck !",3,bronze,3,Mon Nov 25 2013 18:04:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6411,/competitions/yandex-personalized-web-search-challenge,94th
/zerozero,what just happened on the leaderboard!,there are many less people on it and my final standing shot up 50 spots. is this a mistake?,0,None,5,Mon Nov 25 2013 19:06:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6412,/competitions/accelerometer-biometric-competition,53rd
/ankitj,Memory Error: Scikit Python,"Hello, I am newbie to ML and trying to implement various techniques in Scikit library of Python. I am trying to compare the performance of various standard techniques through 5 fold Cross validation. However, except RandomForest all other algorithms namely SVC, KNN and Logistic regression give a Memoey Error with the current dataset . However, when I reduce the size of the dataset, the algorithms do run. Does anybody faced a similar issue. Can somebody please tell me how to fix this. I have attached my code for reference. Any help in this regard will be highly appreciated. Regards, Ankit jain [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9925/CV_SVM_Rbf_Kernel_Code.py",0,None,1,Tue Nov 26 2013 01:20:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6417,/competitions/digit-recognizer,None
/slothouber,Tip for unpacking data on Linux,Unpacking the 7z archive with the test data on Linux is very slow (takes many hours). It can be sped-up considerably by unpacking to /tmp. 7z x -o/tmp test.7z and then copying it to your harddisk. (Provided you have enough RAM of course).,4,bronze,2,Tue Nov 26 2013 04:02:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6418,/competitions/cifar-10,214th
/vrnithinkumar,About qualification,"Hi, Am an undergraduate student interested in machine learning. Is it necessary a PHD or Masters for getting a good job in Machine learning field ?",0,None,1,Tue Nov 26 2013 21:35:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6452,None,None
/speedup,New users in test set?,"According to the test format: ""If the sampled query does not have any short-term context (it is the first one in the session) and the user that asked this query has no search sessions in the training period, we remove this query from the test set (since, it has neither short nor long-term context useful for personalization). We do not disclose any user actions made after the test query. However, the user's actions performed in the same session before the test query are provided (if any)."" I have found some users in the test data that does not have any information at the training data, for example user 66 is not in the training data: 34573642 M 29 6634573642 0 Q 0 8723129 3000365,2482577,3133129 43222359,3802407 39999644,3596990 44638858,3874577 40789531,3640951 17618621,1862061 21906406,2251977 26058104,2597528 40112490,3602207 45139074,3906094 13949939,1423442 34573642 1592 T 1 13028695 3601218,2980919 57002736,4510996 23958325,2393729 71070782,5287734 43211360,3801521 21381898,2194256 71070801,5287737 21381923,2194262 71070834,5287744 71070769,5287733 32447550,3151611 Can someone please confirm that this is not an error in the test set? Am I misreading/not thinking about something? Thank you!",1,bronze,2,Wed Nov 27 2013 00:26:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6454,/competitions/yandex-personalized-web-search-challenge,166th
/jcdaniel91,Rounding Predictions,"Hi Fellow Kagglers, I just uploaded my last two submissions, and now that the competition is effectively over for me, I thought I'd ask a question that I've been curious about throughout the competition. My team has been building our models in Visual Studio (SSAS), training on log(value+1), and predicting on exp(value)-1 as many others here have suggested. We've found that the regression function makes better predictions with the views/votes/comments as continuous variables rather than discrete, but set this way we of course get predictions that are non-integer. Obviously, non-integer values don't make sense here (what's 0.435 of a vote?) so we opted to round our values to the nearest whole number after un-logging our predictions. Are any of you rounding your predictions, or are you submitting them as non-integer values? Thanks for your feedback!",1,bronze,7,Wed Nov 27 2013 02:49:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6455,/competitions/see-click-predict-fix,112th
/ranlocar,My very own 'Hail Mary'...,"My model was initially trained using GBM on the 'last months' of the data. Additionally, I remove 'outliers' from the training set (i.e. rows which had num_views >95% of the observations) Last night I realized I had nothing 'good' to submit, and just to save the last day from being wasted I decided to re-submit my best result until then, with a twist - I applied a simple linear factor of k% to the num_views (only num_views, because it's responsible for most of the error). For the first time after several lame days, I managed to improve my score. Obviously, it seems my results were systematically skewed in a particular direction; but the process that lead me to find it seems 'random'. Is there a 'methodical' way to identify such a skew? When I tried running my model against a subset of the train data, the errors seemed 'balanced'. Any knowledge would be appreciated; I'm trying to learn here :) Thanks!",0,None,10,Wed Nov 27 2013 13:31:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6459,/competitions/see-click-predict-fix,None
/geoffdobson,Scikit Learn cross-validation,"Hello all, I'm trying to experiment with the sklearn cross validation modules...and I keep getting an error I was hoping someone may have come across. I want to run RidgeClassifierCV (http://scikit-learn.org/0.10/modules/generated/sklearn.linear_model.RidgeClassifierCV.html) but when i execute this line: clf.fit(x, y, sample_weight=1.0) ""ValueErrof: unknown label type"" I've tried a bunch of different fixes to no avail does anybody have a hint for me?? THANKS",0,None,5,Wed Nov 27 2013 18:52:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6461,/competitions/crowdflower-weather-twitter,122nd
/erichendey,Submission Format Question,"Must we submit our files in a format that is sorted by ID (as in the example), or can we submit the ID's in any order we want to?",0,None,4,Wed Nov 27 2013 21:24:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6462,/competitions/facebook-recruiting-iii-keyword-extraction,87th
/miladabdullah,Languages,Which programming languages are available to us ? Can we use a cluster?,0,None,1,Thu Nov 28 2013 00:29:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6463,/competitions/introduction-to-machine-learning-university-of-bristol,7th
/davidthaler,My favorite model,"This wasn't one of my selected entries in this competition, but it is a good example of how sometimes very simple models can punch far above their weight. The model just groups the training data by city and source (reduced to 3 levels: remote_api_created, city_initiated and everything else), takes a mean (in logspace) and applies those values as predictions, which are then sent back to raw space. Using the last 4 weeks of the data, this gets 0.31499 against the private leaderboard, which would rank in the high 70's, easily inside the top 25%. A refactored, turnkey version of it is attached, but the gist of it is here: mean_vals = train.groupby(['city', 'src']).mean() test = test.merge(mean_vals, how = 'left', left_on = ['city', 'src'], right_index = ['city','src'], sort = False, copy = False) This just uses python/pandas, with no real algorithm other than grouping and aggregation. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9963/meanValue.py",14,gold,6,Thu Nov 28 2013 04:09:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6466,/competitions/see-click-predict-fix,18th
/premraj0,Corrupt Zip of training data,"Hi As many times I downloaded training zip file even from different systems, everytime it gives an error that its either corrupt or multipart zip. I can see that rest of you are able to access data without any errors. I must be missing something. Plz help.",0,None,2,Thu Nov 28 2013 04:35:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6467,/competitions/facebook-recruiting-iii-keyword-extraction,None
/nenggong,Curiosity:How are tags in training data generated?,Just curious: The tags in training data are generated by editors or generated by some model which FB thinks it is the best?,0,None,7,Thu Nov 28 2013 04:44:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6468,/competitions/facebook-recruiting-iii-keyword-extraction,None
/popzkk,Can you tell me the difference?,"Tweet with ID 1056: ""#WEATHER: 9:53 pm C: 82.0F. Feels F. 29.75% Humidity. 10.4MPH South Wind."",""texas"",""Dallas, TX, USA"" Tweet with ID 1134: ""#WEATHER: 9:53 pm C: 81.0F. Feels F. 29.76% Humidity. 10.4MPH South Wind."",""texas"",""Austin, TX, USA"" ONLY 1F difference on degree and 0.01% on humidity (maybe different cities count also) BUT when you check the 'kind tags' of both, you'll discover that... Similar samples can be found anywhere. This competition is of no sense?",0,None,2,Thu Nov 28 2013 13:18:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6470,/competitions/crowdflower-weather-twitter,None
/suniltapashetti,Matlab for submissions,I am more comfortable with MATLAB than Python. Is it acceptable to make submissions in MATLAB.,0,None,1,Thu Nov 28 2013 13:45:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6471,None,None
/musicallyut,Checking self-submissions for hash collision.,"I prepare my submission (e.g. named Submission_24.poisson.3.gbm.ensemble.v2.csv) very carefully, open it in text editor to compare order of columns and rows, do a sanity check on the mean and sign of the values, double check the model's excluded variables and cross-validations and then, very carefully and calmly, uploaded the file Submission_24.poisson.2.gbm.ensemble.v2.csv. And then I see that I have obtained no improvement in the Leaderboard, but neither has my model scored any worse. That's a bit odd, because the cross-validations did ... and then it strikes me: I have uploaded the same file which I had uploaded yesterday night, poisson.2 instead of poisson.3! It makes me feel like Paul Hewson here: [Link]:http://josephkahn.com/gallery/u2-stuck-in-a-moment/ when I realize that I have lost the last submission of the competition bringing incredible shame to my clan (team) and becoming a laughing stock to others. I consider hara-kiri at those moments. I have done this embarrassingly often and I suspect some others too have. We may already have lost a few souls because of this.So here is my feature request. Could Kaggle keep a (MD5) hash of one's all old submissions and present a warning when there is a collision with the latest submission? I suspect that this is not too much overhead since the submission is sanity checked anyway (e.g. submissions which contain out-of-range values are rejected and do not count towards the daily limit) and the number of hashes it needs to be run against is bounded above by twice the number of submissions which is bounded by how long the competition runs ~ 2 * 1000 hashes to compare against. Could we please have this? Thanks! ~ ut",5,silver,8,Fri Nov 29 2013 01:22:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6473,None,None
/solorzano,Final Requirements,"As per rules, I'm attaching my source code and documentation. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9965/jhs-bio-accel.zip [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9966/Solrzano_Documentation.pdf",5,bronze,3,Fri Nov 29 2013 03:01:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6474,/competitions/accelerometer-biometric-competition,2nd
/pardalote,Problem downloading data,"Hi, I am having trouble downloading some of the large data sets ( eg. the ~4GB data set). The download stopped midway several times. There is no connection problem at my end. Any suggestions would be much appreciated. Thanks. P",0,None,2,Fri Nov 29 2013 13:30:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6476,/competitions/flight2-main,None
/ajoybhatia,Where are the Competition Categories?,"On the [Link]:http://www.kaggle.com/wiki/KaggleMemberFAQ wiki page, I found the following definitions of various ""competition categories"". This led me to believe that I would be able to search for competitions by category. So, being a newbie on this site, I wanted to get a list of the ""Getting Started"" competitions. However, I have not found any way of searching for a particular category of competitions, or even how to get a list of the ""Getting Started"" competitions. Someone on this forum has suggested ordering competitions by prize money in ascending order, reasoning that the no-money or less-money prizes will be for the more basic ones. That is not what I am looking for. I want to identify the competitions that are meant to ""test the waters"", the ones that are always available and have no deadline. I am also interested in the ""Playground"" category of competitions. Can anyone help me, please? ----------- Extract from Kaggle Member FAQ ---------------------------- What do the different competition categories on your website mean? Featured: these are public competitions with significant prize money meant to solve commercial problems. Prize winners grant the sponsor a non-exclusive license to their work, and will present their results via a detailed write-up and possible screencast (see below). Masters: are competitions open to only a select tier of elite Kagglers (see below), or a subset of these by invitation-only or special eligibility criteria. These competitions have significant commercial value or sensitive data. Recruiting: are public competitions where the sponsors are looking to hire data scientists and use the competition to find and test potential talent. There are no teams, and each user must showcase their individual work. You may compete anonymously in this type of competition. Kaggle Prospect: these are public competitions that don't use a leaderboard to determine the winner, and where the goal is not a predictive model. The goals of Prospect competitions include data exploration, analyses, and data visualizations. Most Prospects allow users to vote and comment on each other's work, and this feedback is taken into account in the judging process. Research: are public competitions where the competition goals are research/ scientific in nature or serve a public good. These competitions tend to focus on ambitious machine learning problems at the forefront of technology, or problems with a significant social-good aspect. Most of these competitions include cash prizes, although the prizes may also be invitations to conferences or publication in peer-reviewed journals. These competitions require model solutions to be released as open source. Playground: are public competitions set up to be fun, quirky and idea-driven, rather than to solve a specific business or research problem. These are for fun and not for any prize. Getting Started: are public competitions with no cash prizes that are meant for people to get their feet wet learning, and test the waters of machine learning. These competitions are always available and have no deadline. --------------------------- End of FAQ Extract ---------------------------",28,None,2,Sat Nov 30 2013 03:58:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6479,None,None
/meghaagarwal1,Query regarding Preprocessing,"The evaluation criteria states this: Simple preprocessing 5% for implementation 5% for comparison of accuracy with and without the technique. Could you please explain it a bit more. Does Pre-processing means pre-processing the test data like eliminating missing values, normalization, etc? Can you give an example of simple pre-processing & advanced pre-processing. Regards Megha",0,None,1,Sat Nov 30 2013 13:59:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6480,/competitions/introduction-to-machine-learning-university-of-bristol,6th
/meghaagarwal1,Query regarding submission,I would like to know what all files we are required to submit on SAFE as a part of this competition. Are we required to submit just the solution file we are submitting on Kaggle or should we submit the code file too. Also what should be the format of the report? Any specific guidelines that needs to be followed or any page/word limits we need to consider while developing the report? Regards Megha,0,None,1,Sat Nov 30 2013 14:01:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6481,/competitions/introduction-to-machine-learning-university-of-bristol,6th
/rkirana,submission format,"Do s1-s5 in the submission need to necessarily add up to 1? - might enter competition today, so no way of Trying to make a test submission to find out",0,None,2,Sat Nov 30 2013 16:36:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6484,/competitions/crowdflower-weather-twitter,85th
/shendu,Can this competition fetch me an internship at facebook?,"Hi, I am currently in third year of a 4 year B.Tech program at IITK. Can I get an internship next summer@facebook if I do well in this competition?",0,None,1,Sat Nov 30 2013 19:21:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6485,/competitions/facebook-recruiting-iii-keyword-extraction,18th
/leobuettiker,External Data,Are we allowed to use external date (which are public available and already existed at time of booking)? I'm thinking about using some date (like from a GIS).,0,None,1,Sun Dec 01 2013 12:58:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6487,/competitions/predicting-cab-booking-cancellations,12th
/siddharthagarwal1,Can i participate in this ? ,"Hey I`m a beginner in predictive modeling, but I `m not attending isb right now , so just wanted to know , can I also take part in this competition , as it will be a great learning opportunity for me ?",0,None,1,Mon Dec 02 2013 07:52:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6494,/competitions/predicting-cab-booking-cancellations,None
/joycenv,"Jingle bells, Python smells ...",Python code for computing this competition's evaluation metric and for recreating the Bottoms-Up Packing benchmark can be found [Link]:https://github.com/noahvanhoucke/PackingSantasSleigh.,11,silver,6,Mon Dec 02 2013 23:24:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6500,/competitions/packing-santas-sleigh,None
/miroslaw,What about Octave? ,"The Matlab prize looks very interesting, but not everyone has access to Matlab. Would code written in Octave still be considered for the Matlab prize? The two languages are very, VERY similar in many respects.",0,None,6,Mon Dec 02 2013 23:26:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6501,/competitions/packing-santas-sleigh,None
/yzhao0527,Coordinate,"Hi, this might be silly but can somebody explain to me why the coordinate of present 3 is (8, 10), (10, 10), (8, 5) and (10, 5). What makes more sense to me is (8, 1), (10, 1), (8, 5) and (10, 5).",1,bronze,3,Tue Dec 03 2013 01:27:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6503,/competitions/packing-santas-sleigh,136th
/jjjjjj,Evaluation Metric Name?,"Is there a standard name for this contest's evaluation metric or was the metric contrived solely for the contest? My apologies if this is a well-known metric, this isn't a field I have expertise in. Thanks JJJ",0,None,5,Tue Dec 03 2013 03:29:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6505,/competitions/packing-santas-sleigh,111th
/nvedia,Negative images to train the classifier,"In the data files, I only see dogs and cats images(although there are few images which are neither cats nor dogs but that can be assumed as noise or real human mistakes) What about the negative images, which has no dogs and cats and should be used to train the classifier Sure, I can use it from some external source but am I missing something or there is another way to approach this problem without using negative images at all? Can we train the classifier without negative images?",0,None,1,Tue Dec 03 2013 06:40:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6507,/competitions/dogs-vs-cats,None
/dansbecker,Team up,"Hi, I've been meaning for a small collaborative project to test out the tools at dominoup.com Any python programmers interested in joining me as a team for this project? I'm not intending to put too much effort into this, just enough to test the collaboration tool. But I still think it'd be fun. Drop me a line if interested.",0,None,1,Tue Dec 03 2013 17:07:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6515,/competitions/packing-santas-sleigh,258th
/rjrest,Winners announced,"HI everyone, The winning teams have all submitted their work to the great hosts at the University of Oklahoma, and on the forum with an open-source license. We're happy to announce the winner's page! https://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/details/winners Congratulations to everyone!",0,None,5,Tue Dec 03 2013 19:34:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6516,/competitions/ams-2014-solar-energy-prediction-contest,None
/ccccat,Rudolph Prize,"Rudolph Prize - $2,000: Awarded to the team holding 1st place on the leaderboard for the longest period of time between December 18, 2013 midnight UTC and the competition close on January 19, 2014 11:59 PM UTC. Is usual I need clarification. I see three version of the rule: 1. Single submission holding 1 st place (unlikely it is the correct interpretation) 2.Longest time of team holding 1 st place without interruption (interpretation similar to some prizes in old Matlab competitions) 3. Total (combined) time team was on 1 st place between December 18 and January 19",1,None,1,Tue Dec 03 2013 20:18:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6518,/competitions/packing-santas-sleigh,9th
/domcastro,Matching simulator files to test and train data,"Really confused. I have read all the instructions, FAQs etc. I managed to install FSharp on Linux and get the simulator running. I have successfully got it running on the sept_10 files and partial simulator. I thought I was ready for the train and test data but they are in a totally different format. I can't find any of the files the simulator needs. Seemingly the data is ""aggregated"" but it's not exactly clear how to extract the relevant data for the simulator. Any starter points, please?",0,None,2,Tue Dec 03 2013 20:39:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6519,/competitions/flight2-main,None
/nikolajtatti,Floating packages,"Can presents float? For example, in example provided on evalution page, one can improve the score by moving 1st present one grid up, essentially making it float in the air. Is this allowed?",0,None,1,Tue Dec 03 2013 21:54:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6521,/competitions/packing-santas-sleigh,None
/arb3004,Top Enrollment States as of 9/21/2010,"I'm not sure if this will be of any use, but as of 9/21/2010, the top 10 states for enrollment in the eRx program were: 1. Massachusetts 2. Michigan 3. Rhode Island 4. Delaware 5. North Carolina 6. Connecticut7. Pennsylvania8. Hawaii*9. Indiana*10. Florida* Here is a link to the website in case anyone wants to check it out: http://www.healthcareitnews.com/news/surescripts-awards-top-10-states-erx-use?page=0",0,None,5,Tue Dec 03 2013 23:00:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6522,/competitions/the-future-of-medicine,2nd
/joycenv,Teams and Rudolph Prize,"Usually our competitions award prizes based on the final leaderboard standings so this is not an issue, but since the Rudolph prize is based on the time a team spends at the #1 position of the leaderboard, it's worthwhile to understand hows Teams and Submissions are treated. When two participants who have been submitting separately decide to merge and form a team, the submissions made by both participants are now considered to be the pool of the TEAM's submissions. So if Pete made 5 submissions and Ann made 10 submissions, then Team A-P have 15 submissions. For any given day, the submission with the best score will be the score that appears on the leaderboard. So if Pete never made it higher than Rank 20 but Ann's best score was at Rank 8, then Team A-P have 8 as their best rank on the leaderboard, even if the submission that placed 8th was made by Ann alone before she became a part of the team. At the close of this competition, we will query the database and calculate the time each team has spent in the #1 position of the leaderboard during the relevant dates. The team that held the #1 position for the greatest amount of time will be awarded the Rudolph prize.",0,None,1,Tue Dec 03 2013 23:11:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6523,/competitions/packing-santas-sleigh,None
/dchans,All 0's vs all 1's,"For what it's worth, the test data with all 0's give a score of 0.23743 while all 1's give a score of 0.97140.",1,bronze,1,Tue Dec 03 2013 23:49:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6524,/competitions/the-future-of-medicine,16th
/anaconda,How were the presents generated,"I am sure I am not the first one curious to know how were the dimensions of presents generated. I didn't expect to see this :) To reproduce: For each present, sort its dimensions in the increasing order. Plot histograms of the shortest, middle, and the longest side. Looking forward to start playing with the conditional histograms. Edit: histograms were cropped at 100 to increase the ""wow"" effect. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9985/side_distributions.png",0,None,3,Wed Dec 04 2013 03:30:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6526,/competitions/packing-santas-sleigh,135th
/thakurrajanand,Is Rotation of Presents allowed,Can we rotate the presents?,0,None,1,Wed Dec 04 2013 12:54:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6529,/competitions/packing-santas-sleigh,273rd
/quentinjerome,A Label issue,"Hello everyone, I do not understand the discrepencies between the results I have on my benchmark and those I get on the leaderboard. Thus, I am suspecting a problem with my labels (highly relevant, relevant, not relevant) in my training set. Attached, I upload 100 random queries from different SessionIDs extracted from my training. Does someone could help me and tell me if my labels are correct ? Thanks in advance, [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/9993/100_random_queries.csv.gz",0,None,2,Wed Dec 04 2013 14:45:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6531,/competitions/yandex-personalized-web-search-challenge,42nd
/subhasree,Confusion in Cost_of_error,"Hi All, I have little confusion in the last column of the dataset i.e Cost_of_error. As the cancellation considered here is only by the company due to unavailability of car, what can be the possible reasons of incurring cost by the company? According to my understanding, last moment cancellation by company causes inconvenience to the customers only. Secondly, why is it exactly meant by ""For an un-cancelled booking, the cost of misclassificaiton is 1""",0,None,1,Wed Dec 04 2013 16:12:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6533,/competitions/predicting-cab-booking-cancellations,None
/hyperborean,Torrent file; any luck?,"I wonder if anyone has managed to download RAP data using the torrent file posted at the bottom of [Link]:http://www.gequest.com/wiki/FlightQuest2 I tried to a few days ago, using Tixati (because when I look at [Link]:http://soostrc.comet.ucar.edu/data/grib/rap/ I get no data before June 20 or September 29, depending on which server I end up on, and I wanted to use the milestone training data). I set it up to grab every 0th hour file in the set, it dutifully downloaded stuff for a couple of days (I think) and reported no errors. But when I tried to parse the files, they all turned out to be corrupted and unreadable. Before I give it another go, it would be good to know that it's meaningful to do so (as in, ""yes, I downloaded those files, worked fine for me"").",0,None,1,Wed Dec 04 2013 22:26:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6536,/competitions/flight2-main,41st
/zhichengwang,Set up a team...,"This might be a silly question, but I fail to invite my friend to my team. After he clicked the accept link in the email, the system set up a new team for him... And now we are on different teams and none of us can find the link to quit our own teams or join other teams. What should I do. : ( Regards, WANG",0,None,5,Thu Dec 05 2013 01:43:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6537,/competitions/introduction-to-machine-learning-university-of-bristol,4th
/jeffmoser,"Goodbye ""One or more errors occurred.""","About 40 submissions to this competition have received a very unhelpful ""Evaluation Exception: One or more errors occurred."" message to your submissions. This occurred because your submissions are scored using a parallel algorithm and this was a wrap-up exception indicating that one of the threads had a problem. I've gone ahead and updated the scorer node to list out each of the issues with the submission and have rescored all affected submissions so that you should hopefully now have better diagnostic info. Sorry about any frustration this caused. Happy Packing!",5,silver,2,Thu Dec 05 2013 04:21:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6539,/competitions/packing-santas-sleigh,278th
/aspaceo,Negative Binomial Regression,"Hi guys, I'm attempting to model some customer spend data over the previous three months and am wondering what the best method is. Currently I am modelling the count of transactions within a negative binomial GLM and this seems to be working reasonably. However, the problem I encounter is the fact that many of the individuals in the set have zero transactions, and this problem seems to become larger when I attempt to model spend itself. Are there any established methods for handling this type of distribution? I have had a look online but keep running into RFM style analyses, not something I wish to apply in this case. Many thanks for any help you can provide!",0,None,6,Thu Dec 05 2013 16:44:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6542,None,None
/leeds13teamwonkylemccormick,Assigning numeric values to states,We started to bin states together and give them numeric values for linear regression. The code for both train and test is below. Hopefully this helps. We also deleted the state 'MP' since there were only 2 doctors with this as their state and they were both in train. update train set state = '1' where state = 'AK'update train set state = '2' where state = 'AL'update train set state = '3' where state = 'AR'update train set state = '4' where state = 'AZ'update train set state = '5' where state = 'CA'update train set state = '6' where state = 'CO'update train set state = '7' where state = 'CT'update train set state = '8' where state = 'DC'update train set state = '9' where state = 'DE'update train set state = '10' where state = 'FL'update train set state = '11' where state = 'GA'update train set state = '12' where state = 'GU'update train set state = '13' where state = 'HI'update train set state = '14' where state = 'IA'update train set state = '15' where state = 'ID'update train set state = '16' where state = 'IL'update train set state = '17' where state = 'IN'update train set state = '18' where state = 'KS'update train set state = '19' where state = 'KY'update train set state = '20' where state = 'LA'update train set state = '21' where state = 'MA'update train set state = '22' where state = 'MD'update train set state = '23' where state = 'ME'update train set state = '24' where state = 'MI'update train set state = '25' where state = 'MN'update train set state = '26' where state = 'MO'update train set state = '27' where state = 'MS'update train set state = '28' where state = 'MT'update train set state = '29' where state = 'NC'update train set state = '30' where state = 'ND'update train set state = '31' where state = 'NE'update train set state = '32' where state = 'NH'update train set state = '33' where state = 'NJ'update train set state = '34' where state = 'NM'update train set state = '35' where state = 'NV'update train set state = '36' where state = 'NY'update train set state = '37' where state = 'OH'update train set state = '38' where state = 'OK'update train set state = '39' where state = 'OR'update train set state = '40' where state = 'PA'update train set state = '41' where state = 'PR'update train set state = '42' where state = 'RI'update train set state = '43' where state = 'SC'update train set state = '44' where state = 'SD'update train set state = '45' where state = 'TN'update train set state = '46' where state = 'TX'update train set state = '47' where state = 'UT'update train set state = '48' where state = 'VA'update train set state = '49' where state = 'VI'update train set state = '50' where state = 'VT'update train set state = '51' where state = 'WA'update train set state = '52' where state = 'WI'update train set state = '53' where state = 'WV'update train set state = '54' where state = 'WY' update test set state = '1' where state = 'AK'update test set state = '2' where state = 'AL'update test set state = '3' where state = 'AR'update test set state = '4' where state = 'AZ'update test set state = '5' where state = 'CA'update test set state = '6' where state = 'CO'update test set state = '7' where state = 'CT'update test set state = '8' where state = 'DC'update test set state = '9' where state = 'DE'update test set state = '10' where state = 'FL'update test set state = '11' where state = 'GA'update test set state = '12' where state = 'GU'update test set state = '13' where state = 'HI'update test set state = '14' where state = 'IA'update test set state = '15' where state = 'ID'update test set state = '16' where state = 'IL'update test set state = '17' where state = 'IN'update test set state = '18' where state = 'KS'update test set state = '19' where state = 'KY'update test set state = '20' where state = 'LA'update test set state = '21' where state = 'MA'update test set state = '22' where state = 'MD'update test set state = '23' where state = 'ME'update test set state = '24' where state = 'MI'update test set state = '25' where state = 'MN'update test set state = '26' where state = 'MO'update test set state = '27' where state = 'MS'update test set state = '28' where state = 'MT'update test set state = '29' where state = 'NC'update test set state = '30' where state = 'ND'update test set state = '31' where state = 'NE'update test set state = '32' where state = 'NH'update test set state = '33' where state = 'NJ'update test set state = '34' where state = 'NM'update test set state = '35' where state = 'NV'update test set state = '36' where state = 'NY'update test set state = '37' where state = 'OH'update test set state = '38' where state = 'OK'update test set state = '39' where state = 'OR'update test set state = '40' where state = 'PA'update test set state = '41' where state = 'PR'update test set state = '42' where state = 'RI'update test set state = '43' where state = 'SC'update test set state = '44' where state = 'SD'update test set state = '45' where state = 'TN'update test set state = '46' where state = 'TX'update test set state = '47' where state = 'UT'update test set state = '48' where state = 'VA'update test set state = '49' where state = 'VI'update test set state = '50' where state = 'VT'update test set state = '51' where state = 'WA'update test set state = '52' where state = 'WI'update test set state = '53' where state = 'WV'update test set state = '54' where state = 'WY',0,None,3,Fri Dec 06 2013 03:01:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6546,/competitions/the-future-of-medicine,1st
/bqluhi,Változók jelentése,"Sziasztok! Azt szeretném megkérdezni, hogy mit jelentenek a következő változók: SZINTEK TETOTER Köszönettel: Dorottya",0,None,1,Fri Dec 06 2013 11:19:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6550,/competitions/data-mining-technologies-final-home-assignment,4th
/rudikruger,A moment of silence,"Today South Africa, and the world lost a great man. Viva Mandela, VIVA",1,bronze,1,Fri Dec 06 2013 21:24:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6551,/competitions/packing-santas-sleigh,32nd
/elena9,Description of the variable from the test.csv,"Hi, Could someone help me describing each variable from test.csv?",0,None,1,Sun Dec 08 2013 09:35:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6559,/competitions/predict-who-is-more-influential-in-a-social-network,None
/jessicabombaz,bug in collision checking ,"I think there is a bug the the collision checking code. The comparing conditions should be '>' or '<' instead of '>=' and '<=', respectively. Touching presents are not allowed to have the same x,y or z coordinates. The reason lies in the interpretation of the coordinates. These are not the actual x,y,z-coordinates itself, but indicate a filled cell in Santa's sleight. This perhaps misleading interpretation manifests itself in the calculation of the dimensions where we have to add +1 to the coordinate differences.",0,None,1,Sun Dec 08 2013 18:11:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6560,/competitions/packing-santas-sleigh,271st
/michaelnaumov,Number of tags per document,Is the number of tags per test document constant and if so how many? Or can there be more/fewer tags?,0,None,1,Sun Dec 08 2013 22:20:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6561,/competitions/facebook-recruiting-iii-keyword-extraction,250th
/rickyars,Discrete grid?,"Are we required to place presents on a discretized grid like in the example on the evaluation page? I can't find if this is a requirement, but it seems implied. Thanks.",0,None,2,Mon Dec 09 2013 02:26:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6562,/competitions/packing-santas-sleigh,None
/benbarsdell,Fast validation and scoring code,"Hi all, For those who are impatient like me, I've put together some C++ code that uses the data-parallel Thrust library for speed. It's available here: https://github.com/benbarsdell/KaggleSantaPacking On my outdated laptop, it takes around half a second to validate a solution and around a tenth of a second to compute its score. Please let me know if you find any bugs, or have any questions or suggestions.",4,bronze,2,Mon Dec 09 2013 10:37:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6563,/competitions/packing-santas-sleigh,None
/rakhil93,second excel submission,i have completed till last part in getting started in excel. but i cannot understand the last IF statement....so can any one help me..,0,None,2,Mon Dec 09 2013 18:28:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6564,/competitions/titanic,None
/wbtthefrog,Redirect on login,"Recently I clicked an e-mail link to a forum and saw the message that I must be logged in to reply, so I logged in, and then was taken to Kaggle Home, rather than back to the page I was looking at when I clicked the link to log in. It took a while to find that page again, and would be a better user experience to redirect after login (including after any unsuccessful login or forgot password etc.) back to where one came from on the site!",0,None,1,Mon Dec 09 2013 18:44:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6565,None,None
/gabrio,Effect of mtry and trainingset size in Random Forest,"I've plotted the learning curves below, using different RF trainers At pre-processing stage, I just created a set of dummy vars from my original factor features. I then used the AUROC to choose the best value for mtry. But I'm not sure about the best interpretation of these learning curves. The left one shows the missclassification error for varying training set sizes. The training set accuracy decreases while increasing the training set size, which is something I really expected. For the same reason, I expect less test error while increasing the training set size, which is what I got (more or less). The right plot shows the missclassification error when varying the parameter 'mtry'. Here, I got something really unexpected. I tuned the model to mtry=4 using CV. While I was expecting a decreasing missclassification rate in training set while increasing mtry (probably due to overfitting), I expected a very low value (if not a global minimum) on mtry=4. Even more weird, on the test set: it seems to be fairly constant/slowly decreasing, with a little spike (noise?) exactly on mtry=4! This is really an unexpected result! What is causing me to observe these trends?",2,None,1,Tue Dec 10 2013 11:43:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6569,/competitions/titanic,None
/vignesh0,benchmark with no preprocessing,"Hi, Can someone share cross validation accuracy for any algorithm with no preprocessing applied? I see that it never exceeds 12%",0,None,5,Wed Dec 11 2013 08:57:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6574,/competitions/cifar-10,None
/brianliu1,wrap library dependency of program on SAFE?,are we expected to submit a script to wrap the source code with library dependency for executing on school's machine or just the source codes?? since our program might not be able to run directly on the school's machine with the default installed Python but need another library,0,None,3,Wed Dec 11 2013 11:38:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6575,/competitions/introduction-to-machine-learning-university-of-bristol,3rd
/eduardoruizlibreros,Question about point C in report,"We were wondering what do you mean or what are we supposed to do in the part that says "" an analysis of different types of errors (false positive, etc)""? We are not clear in that part. Thanks",0,None,4,Wed Dec 11 2013 13:40:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6577,/competitions/introduction-to-machine-learning-university-of-bristol,11th
/muthujothi,Imbalance in the dataset,"I assume that it is a part of the challenge to build a good classifier for a dataset that is highly skewed towards one of the classes of classification. Of the 43,431 training records only 3132 records are cancelled bookings.Somewhere around 7%. This is my first time i'm working on such a dataset and would like to gain some knowledge working in such datasets. Could the leaders share some ideas/outlines on how to deal with this skewed dataset to build good predictors?",0,None,2,Wed Dec 11 2013 22:52:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6582,/competitions/predicting-cab-booking-cancellations,20th
/philsimon1,Examples of successful Kaggle competition from small business,"I've scoured that Google site (pretty catchy, eh?) and kaggle.com but can't find a case study or example of a smallbiz that has successfully used the site. Anyone? I'd appreciate it. I'm putting the final touches on an HBR piece. Email me directly if you like. phil@philsimon.com [Link]:http://www.philsimon.com/",0,None,2,Wed Dec 11 2013 23:05:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6583,None,None
/nasserine,prop_brand_bool,"I have a question about the values ​​of the variable ""prop_brand_bool"".According to the description, prop_brand_bool is an integer which takes the value 1 if the hotel belongs to a chain, 0 if it is an independent hotel.However, this variable has real values ​​greater than 1. This has significance? and how we can deal the missing values? In addition, when i group ""id_prop"" by ""prop_brand_bool"", i see that there are hotels that have different values of ​​prop_brand_bool : id_prop prop_brand_bool 102191 1 102196 2.2 102200 1.1 102211 1 102215 1 102221 6.47 102226 1 102234 1 3.97 .... someone can enlighten me.",0,None,1,Thu Dec 12 2013 14:20:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6588,/competitions/expedia-personalized-sort,None
/ning2133982,What is H in test-data?,"Hi, I don't know if now there is someone watching on this topic, what is H -resp feature in the test-data? could somebody explain that? Thanks. Judy",0,None,2,Thu Dec 12 2013 23:18:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6589,/competitions/hivprogression,None
/abhishek,metric calculation,im being a bit lazy and would like to ask if someone has written any code for metric calculation in c++ and would like to share,0,None,1,Fri Dec 13 2013 22:41:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6595,/competitions/packing-santas-sleigh,35th
/sashikanthdareddy,How to use Sci-Kit Learn classifers(eg: Random Forest) in Java,"This question is very similar to the one posted at [Link]:http://stackoverflow.com/questions/12738827/how-can-i-call-scikit-learn-classifiers-from-java I'm developing a Java application which creates some inputs ( my input X's), at most 10 records a day and for these 10 records I would like to be able to produce predictions ( my output Y hats) using the Random Forest implementation in Sci-Kit Learn in an automated fashion. In the StackOverflow link one of the suggestions were to ""expose the Sci-Kit learn classifier as a HTTP/JSON service"" and that method interests me but no clue how one would go about doing so. In other words, Java comes up with a vector of X's (can provide in a JSON format) at random times in a day, passes this to Sci-Kit's Random Forest, waits for the prediction, gets predictions and continues with the rest of the Java program(eg: take the inputs & predictions and dump them into a PostgreSQL database). I'm new to Java & Python and mainly a Windows person. Does anyone have experience with what I've described?It will be great if someone can point to a small demo of a similar situation.",0,None,1,Sun Dec 15 2013 14:49:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6602,None,None
/matahasi,clicked on missing target,"Hi, in Session 139158 the user clicked the URLID 25861471 but this URL is not on ListOfURLsAndDomains (SERP) ...see data below. How is this possible? ""SERP"": ""[[11420001, 1138945], [23945206, 2392668], [70144348, 5166861], [59070103, 4617020], [64041216, 4873718], [68266018, 5120925], [8724321, 1032002], [23948982, 2392803], [1465895, 214725], [47769296, 4038383]]"", ""SERPID"": 2, ""SessionID"": 139158, ""URLID"": 25861471 Am I processing the data wrong, is the data corrupt or is it anything else I did not get right? Thanks in advance.",0,None,1,Sun Dec 15 2013 21:24:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6605,/competitions/yandex-personalized-web-search-challenge,None
/sunitha0,What new topics should be covered in Data Science track?,We are organizing Big Data Bootcamp in Santa Clara. We would like to take your feedback and add advanced Data Science topics You can register for [Link]:http://globalbigdataconference.com/bigdata-bootcamp-sca-january-2014.phpUse the promo code BLOG to get $200 discount for the 3 Day event.,0,None,1,Mon Dec 16 2013 07:17:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6607,None,None
/vjkadekar,Titanic Disaster - Logit Equation using SAS,"I have worked this out with SAS code and have got the concordant to discordant ratio around 80:20. Some code and details are in my blog, [Link]:http://analytic-techie-vjkadekar.blogspot.in/2013/12/titanic-survival-kagglecom-sas-solution.html. More SAS code I have added. Survival predictability equation is here: Prob of Survival = exp^M/(1+exp^M) where M = 4.7905 + (PClass)*(-1.1010)+(age_buck)*(-0.7365)+ (SibSp)*(-0.3584)+(Sex_numeric)*(-2.6210) {exp^M is read as 'Exponential to the Power of M'} Where: PClass --> Value of PClass in the input file age_buck --> Derived Variable.Age_buck value is '0' if 0<age<=10. Age_buck is '1' if 10 <age<=30. Age_buck is '2' if 30 <age<100. SibSp --> Value from the input Sex_numeric --> This is a derived variable. Sex_numeric is '1' if sex in the input is 'Male'. Else Sex_numeric is '0'. I have attached the PPT for better explanation. You could refer to this too, if you want. Comments and suggestions are welcome. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/36208/935/Titanic Solution _ Varun Kadekar.pptx",3,bronze,6,Mon Dec 16 2013 09:06:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6608,/competitions/titanic,None
/ericchio,Why does extrapolating a sine curve via a RandomForest gives a straight line?,"Hi all, I could use some help on figuring out a scenario. Given 8 full sine wave cycle (no noise) composed of 200 equally spaced points. I used the first 100 points as the training set, and the later 100 points as the test set. I fed the training set into the RandomForestRegressor. However, the model only gave me a straight line as the predicted output. Why doesn't it try to fit the line using curves but only as a straight line, especially that the model has already seen 4 cycles (the training set) already? How did it arrive at that ""full straight line"" prediction? Attached code and image output for reference. Blue is the training set, green is the target (unseen), red is the predicted output. Thank you! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/36209/936/1.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/36209/937/basic_extrapolation.py",1,None,6,Mon Dec 16 2013 09:40:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6609,None,None
/rudikruger,Tip,Here's a tip(possibly). I did not use the following features : user_id from_area_id to_area_id to_city_id to_date from_lat from_long to_lat to_long Happy kaggling!,3,bronze,7,Tue Dec 17 2013 09:37:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6612,/competitions/predicting-cab-booking-cancellations,3rd
/jarjestelmacom,Ordering dominates over pile height,"With equal effort dedicated in improving the order or compressing the pile, ordering wins hands down. In laughingly bad packing algorithms, packing everything the wrong way gives the score of about 500,000,000,000. Packing it the right way but in really sparse configuration gives a score of about 100,000,000. Given a very weak effort, dropping presents from the top randomly as if it were a tetris game played blind, gives a score of about 500,000,000 (if my memory serves me right). Now, if you impose ordering on this very weak algorithm, you improve the score to about [edit]: 100,000,000 25M although the pile remains very high. Now, if you test random box drops by change in score they give, the algorithm will rarely put a box in a position that would give an ordering error. With some modest sized monte carlo sampling, the score goes down to 5M or so. It seems that for most of the presents, maybe 99-99.9% of them, it isn't worth it to put them out of order. Putting them out of order gives a guaranteed penalty of at least 2 (exactly), but it doesn't necessarily make the pile much more compact. For example, if your packing density is 80% (80% of volume is presents, 20% empty), a 100x100x100 box put 1 unit more densely only frees 1x100x100 of space. You would have to put 100/0.8 = 125 such boxes in a configuration that's 1 unit tighter to recover the penalty gained from putting two boxes out of order. Few crates have higher volume than 10^6, so there's few candidates for out-of-order boxes. Few are bigger than 10^7 in volume. So, it seems that perfectly ordered packing wins for the most packages.",0,None,1,Tue Dec 17 2013 15:36:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6614,/competitions/packing-santas-sleigh,126th
/phillipadkins,Moving target too difficult to hit?,"I don't understand why the delta is random. So, if my algorithm is 100% perfect at backtracking - meaning I am able to predict the board 1 step ago, 2 steps ago, 3 steps ago etc. - - - which one should I submit? If any from 1-5 steps are possibilities, do we just have to guess which answer the designers want for that particular sample - an answer which changes arbitrarily for each sample...? Am I missing something here?",0,None,2,Wed Dec 18 2013 05:35:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6619,/competitions/conway-s-reverse-game-of-life,None
/smallyellowduck,distribution of block sizes,"Here's a squint at the distribution of block sizes..... it's not smooth and it's not random! A scatter plot of the long dimensions and middle dimensions: Finally, the cumulative volume of packages suggests that there are three different regimes of present-size distributions. Looks like the elves were a little more ambitious with the first 700,000 presents than the last 300,000....",7,silver,12,Wed Dec 18 2013 07:04:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6621,/competitions/packing-santas-sleigh,96th
/theringe,Time complexity and exp cost,"hi there, I have 2 main questions and want to describe the scenario before asking I implemented a prototype solving this issue from an online methodology:http://php.scripts.psu.edu/users/s/z/szt5115/publications/2013_fp050-tuarob.pdfFor short, this is a big O(n^3) complexity algorithm. I have to prune them such as sampling in order to make a submission before deadline or wait about several years :SHowever, the F1 is totally worse, that is, I make a diseconomy spending about 700 USD for running mapreduce through AWS EMR for experiment and get the bad result. So, here is my question: 1. How can I achieve better score using lower complexity algorithm toward this competition? Could someone give me some hint about your methodology? 2. How much money and duration in average you cost in this competition per experiment to gain the score higher than 0.70? thanks in advance",0,None,2,Wed Dec 18 2013 11:06:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6625,/competitions/facebook-recruiting-iii-keyword-extraction,174th
/seemslegit,Missing one prediction,"When I looked at my predictions I saw that my algorithm made 2013336 predictions, which is one less than needed. I looked at the size of my test set, and it is the right size. Did anyone have the same problem and what might be wrong with my predictions?",0,None,5,Wed Dec 18 2013 16:36:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6628,/competitions/facebook-recruiting-iii-keyword-extraction,183rd
/camcamcam,Data Issue? User 66 and many others do not appear in train.txt,"I assume train.txt is ordered by uid? If that's the case, I see user 64 followed by user 67 without 66. But then I see user 66 in test.txt. Apparently that user does not have any short-term or long-term click history so shouldn't it be removed from the set? This is user 66 in the test.txt: 33 34573642 M 29 66 34 34573642 0 Q 0 8723129 3000365,2482577,3133129 43222359,3802407 39999644,3596990 44638858,3874577 40789531,3640951 17618621,1862061 21906406,2251977 26058104,2597528 40112490,3602207 45139074,3906094 13949939,1423442 35 34573642 1592 T 1 13028695 3601218,2980919 57002736,4510996 23958325,2393729 71070782,5287734 43211360,3801521 21381898,2194256 71070801,5287737 21381923,2194262 71070834,5287744 71070769,5287733 32447550,3151611",0,None,1,Thu Dec 19 2013 07:44:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6631,/competitions/yandex-personalized-web-search-challenge,16th
/caifei,release relevance judgements on test file after challenge?,"Hi, Will you release the true relevance judgements of the URLs in the test data? This could be very helpful for our future research works on related topics using your dataset to evaluate our algorithms. Thanks a lot.",0,None,2,Thu Dec 19 2013 11:17:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6632,/competitions/yandex-personalized-web-search-challenge,121st
/joycenv,Leaderboard rescored due to bug,"Hi Everyone, In case you missed this [Link]:https://www.kaggle.com/c/packing-santas-sleigh/forums/t/6585/critical-issue-with-competition-benchmark/36355#post36355, there was a bug in the backend scoring that has now been fixed. The leaderboard has been rescored. Good thing we found this before the Rudolph clock started!",1,bronze,1,Thu Dec 19 2013 15:01:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6634,/competitions/packing-santas-sleigh,None
/barisumog,Share your rig?,"It's close enough to the deadline, and I'm curious. I believe there's no harm in sharing your setup this close to the end. If you don't agree, I respect you, and hey, you can post your rig tomorrow, if you like. I'm curious because there's been a few posts on the forums about utilizing cloud services like AWS. I'm also curious because the top slot on the leaderboard hasn't changed for almost a month, no one's even gotten close. And the top contestant [Link]:http://www.gequest.com/c/flight2-main/forums/t/6097/team-building/32629#post32629 has 32 cpus and 196 gb ram. I'm running on a laptop that's a few years old, 4 gb ram, dual core. I have patience, so my main bottleneck was ram. I have hundreds of memory-dump files, I think I've reduced the life of my harddisk by half in this competition. What about you? What hardware did you use?",0,None,21,Thu Dec 19 2013 23:31:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6640,/competitions/facebook-recruiting-iii-keyword-extraction,20th
/sheikhadnanahmedusmani,Manipulating data in train set,"Hi, I am newbie here. I donot know how to manipulate data using python language. Though I have installed python on my Windows environment. Now how can I read the data using python language. Please help me in providing a simple code for viewing the dataset. Regards,Dani",0,None,2,Fri Dec 20 2013 02:05:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6641,/competitions/yandex-personalized-web-search-challenge,None
/falcon,Some tricks for Python,"If you like Python and use it for this contest, you probably have figured out some tricks similar to mine by now. But seeing that some participants were having difficulty with the data size, I think some of my ideas/solutions might be worth sharing. Please share yours if you know faster/more elegant ones. 0. reading the whole train/test CSV into memory is not necessary for many algorithms, such as TF-IDF vectorization. (And it is probably not feasible for many machines with limited RAM.) For this, I wrote a lazy wrapper for the python CSV reader, so it reads the underlying CSV only one line at a time. [Link]:https://gist.github.com/falcondai/8056423 (example usage with sklearn TF-IDF vectorizer included) 1. saving/loading sparse matrices. You might generate a lot of processed data in the form of sparse matrices (otherwise they might be too big to live in RAM). If you want to persist them on disk (for later sessions, parallel processing, etc), the fastest and most space-efficient way I found is to use numpy's save function which saves them as a binary file. Saving is easy but reading them back out is a little tricky (and ugly). import numpy as np # sparse_matrix is an instance of scipy.sparse.spmatrix np.save('path-to-matrix', sparse_matrix) # reading from file, note the indexes at the end sparse_matrix = np.load('path-to-matrix')[None][0]",5,bronze,1,Fri Dec 20 2013 16:51:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6645,/competitions/facebook-recruiting-iii-keyword-extraction,148th
/barisumog,Share your approach?,"Firstly, congrats to the winners! It's been a mostly fun competition, but also annoying at times.=) Seems the top ranks between private/public leaderboard haven't changed much, except of course for the top spot. Anyways, here's a write-up of what I did. It's mostly standard stuff for text processing, but maybe it'll be helpful to some. I used python, sklearn, and numpy/scipy. My computer is a dual core with 4GB ram. My process is broken down into about a dozen scripts, due to hardware restrictons. If it were to be run start to end, from raw data to submission file, I estimate it would take somewhere around 10-15 hours. TL;DRI cleaned the post texts, applied tf-idf, and combined it with a few meta features. With one-vs-rest approach, I trained a SGD classifier for each of the most common 10K tags. Based on the confidence scores of the classifiers on the test set, I picked the most likely tags for each post among these 10K tags. Cleaning the dataMy assumption was that the code fragments in the texts were too varied to be of any use, so I got rid of them all. I also stripped off the html tags, links, and urls. Also the line breaks and most punctuation, and converted all to lowercase. This left me with cleaner, conversational bits of the text. It also cut down the sizes of both train and test sets by more than half. Meta featuresSeeing I would now be working on less than half of the original input, I decided to incorporate some meta features from the raw text, especially about the bits I dropped off. For each post, I used: length of the raw text in chars number of code segments number of ""a href"" tags number of times ""http"" occurs (lazy way to count urls, not exact but close enough) number of times ""greater sign"" occurs (lazy way to count html tags, not exact but close enough) I also used a couple features from the cleaned version of the text: number of words (tokens) in the clean text length of the clean text in chars I scaled all these features to the 0-1 range, using simple min-max.In the end, these meta features did improve the score (vs using only tf-idf on cleaned text), but not significantly. DuplicatesAs discussed on the forums, a lot of the posts (over a million) in the test set were already in the train set. The tags were already known, so I seperated these out as solved. In some cases (little over 100K) there were different tags given for the same question. I chose to take the union of these tags, instead of the intersection, since it scored slightly better on the leaderboard. I also chose to prune out the duplicates from the train set. I kept the ones where same question had different results, but dropped all exact matches. My train set was now at little over 4.2 million cases. To identify duplicates, I took the hash of clean text posts, and compared the resulting integers. Tf-idfUp until now, I was basically streaming the data through pipes, instead of loading it into memory (no pandas, I used custom generators to handle the data). But when I tried to apply tf-idf on the train set, I ran out of memory. I was still streaming the text, but my computer apparently couldn't handle all the features (there were around 5 million unique words, iirc). After various trials, I split the train set into chunks of 500K posts, and limited the number of features to 20K. My computer could handle larger numbers for the tf-idf step alone, but they got me into memory problems again in the future steps, so I limited myself at 500K x 20K. I used the default english stopwords in sklearn. I only used single words, since including 2 or more ngrams seemed to hurt my results during the scoring stage.And finally, I simply stacked the meta features from earlier on top of the tf-idf matrix. So my final processed input was eight sparse matrices of 500,000 x 20,007, plus the last chunk which had 206K rows. I designated the first chunk as cross validation set, and used it for testing out parameters. Training and predictingI took the one-vs-rest approach, and transformed the problem into binary classification. So I would build a model for the tag ""c#"", and mark the questions positive if their tags included ""c#"", negative otherwise. I would train seperate models this way for every tag on the input chunk, and then use the confidence scores (predict_proba or decision_function in sklearn) of the models to come up with tags. Of course, I ran into memory problems again. So I split the process into steps, writing the results of each step to disk. I would train 1000 models, save them to disk. Then load the cv/test set, calculate confidences, save to disk. Repeat for more batches of 1000 tags. Then load the confidences for all batches of 1000 models each and combine them, and spit out tag predictions.As the model itself, I tried Logistic Regression, Ridge Classifier, and SGD Classifier. SGD with modified huber loss gave best results, and was also the fastest, so I sticked with that. When guessing the tags, I tried various approaches, like picking top n tags with highest confidence, or with confidence over a threshold. In the end, a mixed method seemed to work best for me. This is my predicting process, in two steps: - from every batch of 1000 models, pick the ones with confidence over 0.20 - if there are more than 5, pick only the top 5 - if there are none, pick the best tag anyway- after collecting from all batches in this way, pick the tags with confidence over 0.10 - if there are more than 5, pick only the top 5 - if there are none, pick the best tag anyway It looks a bit silly, I know, but the 0.20 / 0.10 dual thresholds worked best for me in cross validation, and the scores were in line with the leaderboard. This way, I reason, rarer tags with low confidence get a chance to be picked, but only if there aren't enough frequent tags with high confidence. Final submissionI ended up using the third 500K chunk for training, since it performed slightly better than others. I used only the first 10K tags (by frequency in train), thus 10K models. Beyond 10K, I started getting tags that were so rare that they weren't present in my 500K cases. I tried setting up an ensemble of various 500K chunks, averaging the confidence scores, and predicting tags from that. But it showed very little improvement when I tried on small scale, and I was running out of time. So my final submission trains on only 500K cases of the input. Things I tried that didn't seem to workDimensionality reduction didn't seem to work for me. I tried LSA to reduce the 20,007 features to 100-500, but scores went down. I also tried picking only the models with high confidence, but that, too, hurt the final f1 score. I briefly played with a two tier stacking process, using the confidence scores of the models as input for a second tier of models. Again, I couldn't improve the score. There were some tags that often come up together, like python & django, or ios & objective-c. But I wasn't able to exploit this to score better than seperate models for each tag. Things I didn't tryI didn't try feature selection, I thought it would be costly to do so on each of the 10K models. I thought of employing bagging, boosting, or just simply duplicating cases with rare tags, in order to train models better. Didn't have time to try these out. I didn't try stemming or part of speech methods. Also, I didn't look into creating tags directly from text. So any tags in test that are not in the most frequent 10K ones in train were on my blind side. Anyways, the worst part was of course continuously juggling data between ram and disk. I'm left with gigabytes of intermediate dumps, laying around my disk in hundreds of files. Looking forward to reading about what all others did. Cheers!",38,gold,35,Sat Dec 21 2013 01:18:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6650,/competitions/facebook-recruiting-iii-keyword-extraction,20th
/owenzhang1,Team anonymity and points,"Dear Admin, Is is possible to drop ""Team Anonymity"" now, after the competition is over? I tried but it went straight to the error page. Thanks(Anonymous) Owen",0,None,1,Sat Dec 21 2013 01:40:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6652,/competitions/facebook-recruiting-iii-keyword-extraction,1st
/zygmunt,Size of the images,"What is the size of the images, in pixels? Are they all the same size?",0,None,3,Sat Dec 21 2013 15:45:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6658,/competitions/galaxy-zoo-the-galaxy-challenge,None
/trololo,Blog post on how to get past 80% accuracy,"Hi all, I found this competition great fun, and I have a few ideas on how to improve from here. For now, here is how I got past an R value of 0.8 http://tfbarker.wordpress.com/2013/12/22/datamining/ Good luck! Tom Barker",1,None,2,Sun Dec 22 2013 04:31:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6662,/competitions/titanic,None
/josemlopezm,KNN better with a little value of n_components in PCA,"Hi, I don't know if I'm doing something wrong with my KNN approach. I've this code: def predictKNN(train,labels,test): print 'start knn' #reduce the dimensionality pca = RandomizedPCA(n_components = 30, random_state = RANDOM_SEED) std_scaler = StandardScaler() X_train = pca.fit_transform(train) X_test = pca.transform(test) X_train = std_scaler.fit_transform(X_train) X_test = std_scaler.transform(X_test) knn = neighbors.KNeighborsClassifier() knn.fit(X_train, labels) probabilities = knn.predict_proba(X_test) predictions = knn.predict(X_test) bestScores = probabilities.max(axis=1) print 'done with knn' return predictions, bestScores The question hear is that with n_components=30 I got an Average error of 7% but with n_components=100 I got an Average error of 19% . I think I'm doing something wrong but I don't know what. Can anyone please help me with this?. Thank you!",0,None,6,Sun Dec 22 2013 16:01:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6663,/competitions/digit-recognizer,None
/wildcat137,Online vs. Offline Algorithm,"Forgive the potentially dumb question - I assume we are designing an offline algorithm (know all of the dimensions and ordering of the presents in advance), rather than an online algorithm (presents can come in randomly and may have any dimension). Is it correct that we are only considering the set of presents given? Would anybody care to put forth ideas on the online version of the problem?",0,None,2,Mon Dec 23 2013 00:24:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6665,/competitions/packing-santas-sleigh,None
/rudikruger,Kaggle Ranking Points,"Hi, Don't Kaggle-in-class competitions count towards kaggle ranking points? Looking at my profile it doesn't seem to be the case. I don't like complaining, and it doesn't really matter, but I feel the standard of this particular competition merits allocation of some kaggle ranking points. It is a public competition after all. Your thoughts?",0,None,1,Mon Dec 23 2013 09:39:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6668,/competitions/predicting-cab-booking-cancellations,3rd
/ozgurozubek,"""use an army of Turks to do so""","the author of this sentence, please stand up and reveal yourself.",-2,None,1,Mon Dec 23 2013 14:12:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6670,/competitions/dogs-vs-cats,None
/tenaciousterrier,How long should it take to run computations in R?,"Hello, I am trying to run random forest and k-means algorithms on training data set, but it takes more than 1 hour for each algorithm to run. I'm using RStudio (64 bit) version on laptop with 4 GB of RAM. Any advice on what I can do to greatly speed up my computations?Thanks, Thomas",0,None,5,Tue Dec 24 2013 02:32:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6675,/competitions/digit-recognizer,None
/bobmatthews,help with weka coding,"Hi I wish to create an ensemble of five weka classifiers I wish to build the classifiers once-only with static filter and option selections Outside the building method, I wish to process each of the five classifiers in turn against data which changes at a regular time interval I am having great difficulty in coding this.......... Any suggestions / help / coding examples gratefully received Bob M",0,None,3,Wed Dec 25 2013 23:58:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6680,None,None
/rajeshkumar152185,Eglible for Beginners in DataScience,"Hi, I am new bee to this forum.My passion is learn new technology.I work as a Database Administrator.It's regular work.Somewhat it's boring....I would like to change that. Please anyone share it How this forum my help to me to enrich my skill in DATA SCIENCE.What are thing should i start? Learn? Br, Raj",0,None,2,Thu Dec 26 2013 10:18:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6686,None,None
/abhayprakash,Log Format ordered by user_id?,"The description has no mention about any ordering of log rows but watching initial lines, it seems as the logs are sorted by user_id and for same user_id, sorted by day. Can admins confirm for this or there is no strict ordering?",0,None,1,Thu Dec 26 2013 14:33:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6689,/competitions/yandex-personalized-web-search-challenge,19th
/geoffreydesmet,Explaining the score on kaggle,My solution locally has 8 points more than it does on kaggle. Obviously alocal bug. Is there any way to determine which of the 2 constraints it breaks on kaggle? So: what is the score for maxZ and what for the score for ordering part on kaggle?,1,bronze,2,Fri Dec 27 2013 10:42:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6692,/competitions/packing-santas-sleigh,158th
/samratroy,novice take on kaggle and bigData,im very new to kaggle and want to know about the basics how to get started and all. I have taken up the titanic project and am going through the various heading. everything looks pretty scattered any form of guidance would be of gr8 help :),0,None,4,Fri Dec 27 2013 19:05:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6698,None,None
/goldman88,INVENTORY ISSUE OF FMCG COMPANY,One of the leading FMCG Company facing an issue related to inventory in north-west Europe. They are investing 1 crore per month since one and half year and if it continues then they have to stop selling products. The question is which are those factors or how they can reduce inventory turns?. Earlier their inventory turns was around 15 and reduce it to 7 now they want to reduce again.Please help me out,4,None,4,Sat Dec 28 2013 06:34:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6701,None,None
/jasonz0,Dimensionality Reduction,"This is my first competition working with images, and I'm pretty much a newbie when it comes to image processing techniques. I'm pretty sure using the entire 424 x 424 x 3 pixel set won't work, so I'd love to learn more about how other people are reducing dimensions and finding features from the images. So far I've mainly used PCA, but I'm curious what other techniques are available.",0,None,3,Sun Dec 29 2013 20:48:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6713,/competitions/galaxy-zoo-the-galaxy-challenge,None
/equilib,Understanding Train Dataset,"Hi When I open the train data set,I really don't understand what are these numbers and digits. please help me. Thanks",0,None,2,Tue Dec 31 2013 10:06:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6725,/competitions/yandex-personalized-web-search-challenge,None
/geoffreydesmet,Source code (Java) to get below 2.5m,"My source code to get below 2.5m: [Link]:https://github.com/ge0ffrey/packing-santas-sleigh To run: $ git clone git@github.com:ge0ffrey/packing-santas-sleigh.git$ cd packing-santas-sleigh$ mvn clean install// Open the pom.xml with IntelliJ, Eclipse or NetBeans// Run org.optaplannerdelirium.pss.app.PssApp// I run with ""-Xms2048M -Xmx2048M -server"" It simply rotates all presents so Z is the highest side and X is the second highest side and then puts them in one by one in the best remaining spot on the lowest Z, lowest Y and then lowest X (with the limitation that Z is not lower than the last placed present's z). Currently, I am trying to improve that by playing with: Metaheuristics ( [Link]:http://docs.jboss.org/drools/release/6.0.1.Final/optaplanner-docs/html_single/index.html#lateAcceptance) to improve the rotations The problem is that [Link]:https://github.com/ge0ffrey/packing-santas-sleigh/blob/master/src/main/java/org/optaplannerdelirium/pss/solver/score/PssSimpleScoreCalculator.java is too slow. It now takes 7 seconds to calculate 1 score of 1000 presents. Normally I am used to 0.001 seconds per score or better. Partitioning. The constraints (and lower bound) pretty much force partitioning upon us. Unlike normal NP-complete problems, this one can be divided and conquered. Add 500 presents, lock all expect the last 1000 presents, apply metaheuristics to rotate the unlocked presents (the last 1000 presents), repeat until all presents are placed. See PssPartitionedApp Future plans: Better score function for the metaheuristics to avoid [Link]:http://docs.jboss.org/drools/release/6.0.1.Final/optaplanner-docs/html_single/index.html#scoreTrap. I am taking of adding the negative of the volume of every present multiplied by the z to a score level (potentially even higher than the z scoring). Metaheuristics to improve the order. Feedback welcome :) Happy new year! :)",3,bronze,5,Tue Dec 31 2013 11:51:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6727,/competitions/packing-santas-sleigh,158th
/lonelyatthetop,Package reordering,"Couple questions about changing the packing order: 1. Has anyone come up with a useful method for changing the present order? The few things I've tried have improved the z-score a little, but this was completely swamped by the order penalty. Most of my effort has been toward getting a better packing while maintaining the order exactly. 2. My old solution packed presents one at a time in the original order, and got a score of 2.072 million. I've since moved on to level packing, where the presents in a level can be reordered (this is better!). I can't think of a way to improve my old solution, and I'm curious if anyone has gotten a better score without doing any reordering ...",1,bronze,1,Tue Dec 31 2013 22:43:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6733,/competitions/packing-santas-sleigh,8th
/orchid,unavailabiliyt of groundConditions/actualLandings/actualTakeoffs files,"Hi Joycenv, Do you know where to get groundConditions/actualLandings/actualTakeoffs files for all the testing dates? I only found these 3 files for Sep.10. Currently, I tentatively use Sep.11 files to run simulation for all dates. However, i don't think this is right way to do as these 3 files might be different for different dates. Thanks,",0,None,5,Thu Jan 02 2014 00:45:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6735,/competitions/flight2-main,36th
/fulmicoton,pampampampam is ooc?,Does anyone know why pampampampam is out of the competition?,0,None,5,Thu Jan 02 2014 15:26:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6737,/competitions/yandex-personalized-web-search-challenge,2nd
/khairulazhar,can i get other link of file of training and testing (mirror link),"Hi, my name is irul. i have some troubles when download data training and testing from avaible link. because proces of download often disconnects after some minutes. may be people in here can provide mirror links please... thanks :) regards irul,",0,None,1,Fri Jan 03 2014 12:53:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6744,/competitions/galaxy-zoo-the-galaxy-challenge,305th
/theanalyst,Unable to load the train set in R,"When loading the train set in R, I just get two columns: 1. row.names; and 2. the names of all the other variables in the data set. Therefore, the data is messy and I just can't perform any analysis. Could you please help me to get a tidy data set. I think there is some command in R that could help for this. I have already tried with header=TRUE, but the results are just the same. I attached a picture of the dataset to help illustrate the case. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/36985/981/trainset.png",0,None,1,Sat Jan 04 2014 06:32:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6751,/competitions/titanic,None
/archna,calculate volume or weight of object in 2d images,"I want to calculate volume or weight of object in 2d images,",0,None,1,Mon Jan 06 2014 14:12:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6755,None,None
/archna,features of image,what are the features of image that can be extracted for classifying an object?,0,None,3,Mon Jan 06 2014 14:15:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6756,None,None
/frin63,Final scoring?,"When I look at the 'my submissions' page, it see the following text: Your final score will not be based on the same exact subset data as the public leaderboard, but rather a different private data subset of your full submission—your public score is only a rough indication of what your final score is. You should thus choose submissions that will most likely be best overall, and not necessarily just on the public subset. Your team's final score will be the best private submission score from the 2 selected submissions. This doesn't make any sense to me. How can the final scoring be on just a subset of the full submission? Shouldn't the scoring be on the total submission?",0,None,3,Mon Jan 06 2014 16:54:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6759,/competitions/packing-santas-sleigh,182nd
/alexandrekowalczyk,How do you compute the RMSE for all 37 classes?,"I want to be sure I evaluate correctly my solution. I use the formula from [Link]:https://www.kaggle.com/wiki/RootMeanSquaredError to compute RMSE Here is the code I use : % text header has been removed from the csv file solutions = load('solutions_training.csv'); y = solutions(:,2:end); % We remove galaxy ids y_pred = zeros(size(y)); RMSE=sqrt(mean((y-y_pred).^2)); However I end up with a RMSE matrix with 1 line and 37 columns. How should I compute the RMSE value for all 37 classes? Thanks!",0,None,2,Tue Jan 07 2014 00:12:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6762,/competitions/galaxy-zoo-the-galaxy-challenge,318th
/ahallan,Interviews,"Hi, Has anyone been called for interview yet? If so, how's the process going?",0,None,8,Tue Jan 07 2014 09:11:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6763,/competitions/facebook-recruiting-iii-keyword-extraction,46th
/bram278806,Android game of Reverse Game of Life,"Hello, I found it interesting to search the previous state of Game of Life worlds manually. I did not only find it interesting, but also fun, so I created an android app from it. If anyone is interested, I share the android game on Google Play, free and without ads: [Link]:https://play.google.com/store/apps/details?id=com.braincomic.reversedGOL Windows phone: [Link]:http://www.braincomic.com/brain-apps/reversedGOL--Reversed-Game-of-Life-free-Brain-game Kind regards, Bram",3,bronze,3,Tue Jan 07 2014 20:54:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6766,/competitions/conway-s-reverse-game-of-life,29th
/jeffsonas,Calculating RPI - a detailed example,"Let's go through some simple rating calculations. This will help verify that you are understanding the data correctly, as well as providing a very basic introduction to some basketball rating concepts.In this example, we want to calculate the RPI (Rating Performance Index) for day 100 of season A, using all the games played from day 0 thru 99 of season A. Consulting the ""seasons"" data tells us that this is actually the 1995-1996 season, where we are using all games through 06-FEB-1996 to calculate ratings as of the start of 07-FEB-1996. Because all seasons are aligned so that day #154 is the NCAA tournament final, and day #132 is Selection Sunday as well as the final day of the regular season, we also know that day 100 is almost five weeks before the end of the regular season. Since day #132 is always a Sunday, we know that day #100 is always a Wednesday, if we care.Looking at the regular season data, we see that there were a total of 2,815 games played between days 0-99 in season A, across 305 different teams. Team #832 (VMI) played 14 games, and teams #559, #605, #825, and #846 (Connecticut, Georgia St, VA Commonwealth, and Wichita St) played 23 games, and the remaining 300 teams each played somewhere between 15 and 22 games. Of course, these teams may have played additional games (against non-Division I opponents), but we are not considering those games - we only have data for the games played between two Division I teams, and there were a total of 2,815 such games between days 0-99 in season A.The RPI is a calculation that does not care how many points a team won/lost by in their games, only who won and who lost. This gives it less predictive value, but since the RPI is heavily used by the committee that selects the teams for the final NCAA tournament, such a constraint supposedly gives teams less incentive to ""run up the score"" during games against weaker opponents. Of course, in this contest we have no such constraints; you are welcome to use the game scores to inform your rating calculations and ultimately your predictions of game outcomes. But in the case of RPI, we only care who won/lost.The RPI formula is:RPI = (0.25)*(WP) + (0.50)*(OWP) + (0.25)*(OOWP) whereWP = Team Winning PercentageOWP = Opponents' Winning PercentageOOWP = Opponents' Opponents' Winning PercentageStarting eight years ago, the formula for WP was adjusted so that Away wins are more important than Home wins. Thus your overall number of wins is calculated as (1.4)*(Away wins) + (1.0)*(Neutral wins) + (0.6)*(Home wins), and your overall number of losses is calculated as (1.4)*(Home losses) + (1.0)*(Neutral losses) + (0.6)*(Away losses). So in this example, even though it is for the 1995-6 season, we will use the modern way to calculate RPI.The formula for OWP specifically excludes games against the team whose RPI is being calculated, although that team is not excluded during the OOWP calculation. And each opponent's winning percentage counts equally within the OWP and OOWP calculations, even if it is based on unusually many/few games.Let's look at one particular team for a more detailed example: Minnesota (ID=673). Here are Minnesota's 21 games during season A, up through their day 99 loss to Indiana:neutral win: Minnesota 70 Valparaiso 66neutral win: Minnesota 64 Wichita St 55neutral loss: Minnesota 85 Nebraska 96home win: Minnesota 82 Charleston So 67home win: Minnesota 93 Bethune-Cookman 53home win: Minnesota 91 Nebraska 80away loss: Minnesota 50 Cincinnati 84home loss: Minnesota 67 California 70away loss: Minnesota 66 Clemson 79away win: Minnesota 86 CS Sacramento 63home win: Minnesota 87 Mt St Mary's 62home win: Minnesota 92 Mercer 56home win: Minnesota 69 Illinois 64away loss: Minnesota 63 Iowa 92away loss: Minnesota 61 Penn St 76home loss: Minnesota 62 Purdue 76away win: Minnesota 56 Ohio St 50away loss: Minnesota 65 Wisconsin 73home loss: Minnesota 54 Michigan St 68home win: Minnesota 77 Northwestern 68home loss: Minnesota 66 Indiana 81Adding those up, we find 7 home wins, 2 neutral wins, 2 away wins, 4 home losses, 1 neutral loss, and 5 away losses. Minnesota's ""raw winning percentage"" from their win-loss record of 11-10 would be 0.523810, but when you incorporate the home/away weightings in the WP formula, you get 9.0 ""wins"" and 9.6 ""losses"" for an actual WP of 0.483871.Next comes the calculation of OWP, the opponents' winning percentage. It uses a ""raw"" winning percentage, similar to Minnesota's raw winning percentage of 0.523810, but there is an additional consideration in that you need to subtract out the games from Minnesota. So although Valparaiso's record is 11-7, they are actually 11-6 in their games against teams other than Minnesota, so for the purpose of calculating Minnesota's OWP, Valparaiso's winning percentage of 11/17=0.647059 will be used. Similarly, for the treatment of Nebraska during the OWP calculation, we see that Minnesota played Nebraska twice (winning once and losing once) and so rather than its full record of 15-7, Nebraska is treated as a 14-6 team (winning percentage = 0.700000) during the calculation of Minnesota's OWP. Note also that this 0.700000 winning percentage will count twice out of the 21 winning percentages being averaged together, since Minnesota faced Nebraska twice. And also note that a game against Nebraska (based on 20 games) counts the same with regard to OP as a game against Valparaiso (based on 17 games), so when we average the 21 winning percentages at the end, it will be a simple average rather than a weighted average.So if we look at Minnesota's 21 opponents, each with their winning percentages excluding all games against Minnesota, we get this:Valparaiso (0.647058823)Wichita St (0.272727272)Nebraska (0.700000000)Charleston So (0.500000000)Bethune-Cookman (0.357142857)Nebraska (0.700000000)Cincinnati (0.941176470)California (0.647058823)Clemson (0.722222222)CS Sacramento (0.111111111)Mt St Mary's (0.722222222)Mercer (0.555555555)Illinois (0.700000000)Iowa (0.700000000)Penn St (0.882352941)Purdue (0.800000000)Ohio St (0.529411764)Wisconsin (0.578947368)Michigan St (0.526315789)Northwestern (0.352941176)Indiana (0.600000000)and averaging those 21 together, we get an average opponents' winning percentage (OP) of 0.597440And finally, that leaves the calculation of OOWP. There is no special treatment of home/away games here, or anything about subtracting out an opponent's games against your own team. So it is a simple matter of taking each of Minnesota's 21 opponents, and looking at the average winning percentage of each of their opponents, and then averaging those 21 numbers together in order to get the OOWP.So, if we look at Minnesota's 21 opponents, each with their opponents' average winning percentages, we get this:Valparaiso (0.611111)Wichita St (0.260869)Nebraska (0.681818)Charleston So (0.473684)Bethune-Cookman (0.333333)Nebraska (0.681818)Cincinnati (0.944444)California (0.666666)Clemson (0.736842)CS Sacramento (0.105263)Mt St Mary's (0.68421)Mercer (0.526315)Illinois (0.666666)Iowa (0.714285)Penn St (0.888888)Purdue (0.809523)Ohio St (0.5)Wisconsin (0.6)Michigan St (0.55)Northwestern (0.333333)Indiana (0.619047)and averaging those 21 together, we get an average opponents' opponents' winning percentage (OOP) of 0.589910This takes us to the final RPI calculation, which is simply:RPI = (0.25)*(WP) + (0.50)*(OWP) + (0.25)*(OOWP)RPI for Minnesota = (0.25)*(0.483871) + (0.50)*(0.597440) + (0.25)*(0.589910)= 0.567165There is also a frequently-listed additional calculation called SOS (Strength of Schedule), which is just the non-WP portion of the calculation:SOS = [ (2)*(OWP) + (OOWP) ] / 3SOS for Minnesota = [ (2)*(0.597440) + (0.589910) ] / 3= 0.594930The RPI and SOS numbers are often provided as the ordinal rank, found by sorting all these teams by RPI and then assigning 1 to the best, 2 to the next-best, etc., and the same thing for SOS. In the case of Minnesota, we find that their RPI ranks them #57, and they have an SOS rank of #26, indicating that they have the 26th-hardest schedule. Associated files:(1) ""RPI Calculated for Day 100 in Season A.xls"" contains several tabs indicating the step-by-step calculated values if you were trying to calculate RPI on day #100 of season A.(2) ""rpi.csv"" provides daily RPI calculations for all teams, for all seasons A-R, as of days 75, 76, 77, ..., 131, 132, 133.In addition, participants who wish to perform cross-validation may be interested in identifying regular season games that are similar to tournament games. For instance, a system that does well among top-50 teams, but not among weaker teams, would be more useful at predicting tournament games than a system that was effective at predicting results among weak teams but not among strong teams. In order to assist this process, two other files have been provided. The first of them, ""pct_tourney.csv"", provides aggregate information about how likely a team with a given RPI rank, at a given point of the season, is to reach the NCAA tournament. For instance, the first line of data in ""pct_tourney.csv"" is ""77,83,0,1.000000"". This tells us that among teams whose RPI rank (rounded to the nearest 5) between days 77 and 83 was zero, 100% of those teams made it to the tournament. The second line is ""77,83,5,0.957142"", telling us that out of teams during the same span of days whose RPI rank (rounded to the nearest 5) was 5, 95.7% of those teams made it to the tournament. Note that Georgia in season H (2002-3) was removed from these calculations because of ineligibility/sanctions.The data from ""pct_tourney.csv"" was used in order to generate ""similarity scores"" for each regular season game played on day 77 or later, using the RPI ranks for each team to calculate a likelihood that both teams in the game would make it to the tournament. All games with a 0.1% or higher chance were listed in ""pct_both_tourney.csv"". For instance, the first data record in the file tells us that on day #77 of season A, team 519 (Austin Peay) defeated team 762 (SE Missouri St), and the pre-game RPI ranks suggested a 1.9% likelihood that both teams would reach the tournament (in fact only Austin Peay did, and SE Missoury St did not). By looking near the end of this file, at the games during season R (2012-2013) that were played on day #130 (the Friday during conference tournaments), we can see that there were 36 such games with a 0.001 or higher chance that both teams would be in the tournament. This included three games with a 93% chance (Indiana-Illinois, New Mexico-San Diego St, and UCLA-Arizona) and one game with a 100% chance (Syracuse-Georgetown). This ignores the details about automatic conference invitations, and considers only RPI. If you want to use these numbers, you can use your own judgment to decide how early during the season to consider, or how low a percentage threshold to use, but it is worth noting that there are a lot more regular season games than tournament games and therefore it is a promising approach to use applicable regular season games to develop your prediction model. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/37104/995/RPI Calculated for Day 100 in Season A.xls [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/37104/996/rpi.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/37104/997/pct_tourney.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/37104/998/pct_both_tourney.csv",6,silver,8,Wed Jan 08 2014 01:27:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6769,/competitions/march-machine-learning-mania-2014,61st
/jeffsonas,About the RPI Benchmark,"I already provided a detailed example in the [Link]:https://www.kaggle.com/c/march-machine-learning-mania/forums/t/6769/calculating-rpi-a-detailed-example thread of how RPI can be calculated. I used this approach to calculate RPI scores as of the end of each regular season (i.e. as of day #133, covering the games from days 0-132). RPI is not a ""power rating"" system, by which I mean it does not directly produce an expected pointspread when you compare two teams' ratings. However, it is a fairly straightforward step to estimate a rating from the ordinal rank, using the approach described in the [Link]:https://www.kaggle.com/c/march-machine-learning-mania/forums/t/6767/extra-data-sagarin-predictive-ratings thread to convert from ordinal rank to a rating of appropriate relative magnitude:Rating = 100 - 4*LN(rank+1) - rank/22And then once I had a difference in ratings between each pair of teams, I used my exponential formula (as explained in the [Link]:https://www.kaggle.com/c/march-machine-learning-mania/forums/t/6768/extra-data-pointspreads thread) to estimate a winning percentage for each possible team matchup:WinPct(RatingDiff) = 1/(1+POWER(10,-RatingDiff/15))Of course, the RPI calculation is quite simple, and doesn't care about margin of victory, so we wouldn't necessarily expect it to do a great job of predicting. It was the worst-performing of the three simple benchmarks that I prepared (the other two being the Seed Benchmark and the Chessmetrics Benchmark). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/37118/1001/rpi_submission.csv",2,bronze,2,Wed Jan 08 2014 09:29:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6775,/competitions/march-machine-learning-mania-2014,61st
/pl4770832,How many people classified each galaxy ? [besides the typical 40-50 answer from web-page],"It is stated that : ""Multiple individuals (typically 40-50) all classified the same galaxy"" For example, galaxy with id 100045 has the following answer for the first question, this question is normalised to 1 for all objects. 0.151045, 0.841492, 0.007462 Option 3 was chosen in ~0.7% of the cases, if 50 people classified this object, and 1 person chose option three then this leads to 2% [0.02] It seems that for this object at least ~134 people classified it, with one person thinking it's a star.Just out of curiosity what is the variance of the amount of people that have classified each galaxy ? is that data available ? (I doubt it will be of any use for the challenge)",0,None,5,Wed Jan 08 2014 17:14:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6781,/competitions/galaxy-zoo-the-galaxy-challenge,None
/blindape,Has anyone tried MATLAB successfully?,"I've tried to register for the try version, but only receive mails like: ""Contact your campus license administrator to learn about access options for MATLAB and Simulink"" I've tried again for commercial use version, but no answer yet. Has anyone got a link for try version download?",0,None,2,Wed Jan 08 2014 18:42:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6782,/competitions/packing-santas-sleigh,9th
/jasonsumpter,Submission problems,"I've tried a couple submissions. Just tried to submit one from yesterday. ""Competition does not have a solution to test your submission against"" is what I got on the last one. The first 3 attempts said, ""Evaluation Exception: solution column mapping was not set"". I'm guessing this has something to do with updating the data. Thought I would let you know anyway.",0,None,7,Fri Jan 10 2014 02:36:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6793,/competitions/galaxy-zoo-the-galaxy-challenge,216th
/slobo777,Plot of leaderboard,"I'm enjoying this competition, and I think more so because of the even spread of scores in the top 100. It seems any improvement nets a few places, which is always encouraging. It also seems, that provided I come up with a reasonable new idea or try a tuning run, that I can find another say 10,000 improvement. It seems a little too easy in fact. I wonder how close we are to any theoretical limit? I'm beginning to think that there is still a lot of room, perhaps down to 1.85 M . . . There is danger in extrapolating of course, and this is not a graph of cleverness or relative effort. For all I know the costs for each increment in the top 10 are a doubling of effort. However, I thought it interesting that there is very little of any bottoming out or plateau in the leaderboard scores (linear plot of rank vs score, top 100 scores)",10,silver,4,Fri Jan 10 2014 09:41:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6796,/competitions/packing-santas-sleigh,27th
/derdasmachenmuss,Exact cutoff times?,"Is there any file, where all the exact (up to seconds) cutoff times are specified?",0,None,1,Fri Jan 10 2014 09:59:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6797,/competitions/flight2-main,13th
/ahassaine,GalaxyZoo Decision Tree with example images?,"Hi there, Would it be possible to have an illustrative example of each node in the decision tree? This will be very helpful... Thanks, Ali",0,None,2,Fri Jan 10 2014 12:01:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6799,/competitions/galaxy-zoo-the-galaxy-challenge,None
/charlesfodya,How to Install scikit-learn on Mac OS,"I'm trying to install scikit-learn on my Mac, but I don't seem to get where to download the package. When I use my terminal, I'm always getting errors. Is there anyone who can help! Thanks in advance Charles",0,None,10,Fri Jan 10 2014 15:10:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6801,/competitions/titanic,None
/ianstokesrees,Wakari: Free web-based analytics tool,"Someone recommended that we promote our free web-based analytics tool, Wakari, here on Kaggle. I hope this is the right place! http://wakari.io Gives you a Python-centric data analytics environment with 1GB of RAM, 10 GB of storage, IPython Notebook, bash shell in the free-tier account. Paid accounts include SSH access, more RAM, more storage, better CPU.",0,None,1,Fri Jan 10 2014 20:13:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6805,None,None
/gulnareli,request for evaluation system keeping open longer,Thank you very much for providing the platform and data to explore in big data. Could you continue to open this evaluation system so that we can submit our predictions to check the accuracy in future study?,0,None,3,Sat Jan 11 2014 00:21:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6806,/competitions/yandex-personalized-web-search-challenge,191st
/fschilder,Number of teams after reboot,It still says 110 teams after the reboot and currently there are only 19 teams on the Leaderboard. Do you want to keep the number of teams from before the reboot or did you simply forget to reset this number?,0,None,2,Sat Jan 11 2014 05:52:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6808,/competitions/galaxy-zoo-the-galaxy-challenge,31st
/trevorkelley,Are the French more beautiful of just pushy,"Has anyone noticed that the passengers that embark at the French port of Cherbourg have a much higher survival rate? Overall survival rate Male=19%, Female=74%English (Queenstown, Southampton) survival rate Male=17%, Female=70%French (Cherbourg) survival rate Male=31%, Female=88% So both French woman and men had a much better chance of getting on to a life boat. French men were significantly better at surviving!",0,None,1,Sat Jan 11 2014 11:11:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6810,/competitions/titanic,None
/cjbayesian,Submitting directly from remote server (AWS or similar),"Wondering if anyone has figured out a way to upload submissions directly from a remote server, skipping the step of downloading to local machine, then uploading to kaggle. On a similar note, it would be nice to be able to download data directly to a compute server using wget or similar. Is there a way to pass your user credentials to kaggle so that you can download the data programatically?",0,None,3,Sat Jan 11 2014 16:58:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6812,/competitions/galaxy-zoo-the-galaxy-challenge,None
/davidbess0,Rules Question,"Your method must be entirely computational and not incorporate any elements of man-made prediction. Should this rule be interperted to mean that we can not use bayesian methods where a prior is provided based on human judgement? Please clarify. Thanks, David Bess",0,None,1,Sun Jan 12 2014 02:57:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6814,/competitions/march-machine-learning-mania-2014,None
/torrent,Clarification regarding model submission and final submission,"admin: i had a doubt regarding model submission date and final submission date. Why is there a month's gap between the two? is it that i can not make changes to the codes i submit on 18th, after 18th? if not, why is the final data being released after a month's gap? am i supposed to do anything between the 2 dates? thanks. t",0,None,5,Sun Jan 12 2014 18:09:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6820,/competitions/flight2-main,44th
/fishpam,How many participators use deep learning instead of mixture of shallow learning?,"Hi, all Can you share this information to me? Thank you! BigFish",0,None,19,Mon Jan 13 2014 14:01:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6824,/competitions/galaxy-zoo-the-galaxy-challenge,None
/owenzhang1,Best result without any external data?,"Given this is a research comp, I thought I would ask: what is your best result WITHOUT external data? It seems many topic performers are utilizing/incorporating pre-trained models with ImageNet data.",0,None,4,Mon Jan 13 2014 15:04:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6825,/competitions/dogs-vs-cats,3rd
/dougkoch,Re-uploading my model?,"Is it possible to upload a current version of my source code a few days early, just to be safe, and then replace it with newer revisions as I keep improving the model up until the deadline on Saturday? Just want to make absolutely sure I don't only have one shot at it.",0,None,1,Mon Jan 13 2014 17:09:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6826,/competitions/flight2-main,6th
/anandpatil0,Sense: New cloud platform for data science,"Hi everyone, I'd like to introduce Sense, a multi-language, scalable, highly collaborative data science platform in the cloud. Sense supercharges open-source, scripting-based data tools like R and Python. Please check out our demo video at [Link]:https://senseplatform.com/, sign up for our beta if it looks interesting, and feel free to get in touch at support@senseplatform.com. Anand Patil",0,None,1,Tue Jan 14 2014 00:24:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6828,None,None
/snagargoje,Dataset format conversion,"Hi, I have a KDD dataset which contains characters mixed with numbers, like below: 0,tcp,http,SF,219,1098,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0.00,0.00,0.00,0.00,1.00,0.00,0.00,7,255,1.00,0.00,0.14,0.05,0.00,0.01,0.00,0.00,normal. Are there any tools to convert it to ""All numbers"" format? Also is there any tools to scale the dataset? -Sachin",0,None,1,Tue Jan 14 2014 10:57:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6830,None,None
/mikarlsen,Incorporate Big Data/Data Science into my education - how?,"Hey everyone! I'm currently taking my masters degree in Information Studies at Aarhus University in Denmark. I took my bachelors degree in Media Studies, but decided that it was not for me anyways, and now I'm seeking a new path to take with my studies. (More about my education here: http://kandidat.au.dk/en/information-studies/) I love the concept of turning all the data we harvest about ourselves, our society, infrastructure and more into usable concepts, ideas and products/programs. One of my main problems is that I'm not a programmer myself, and I somehow feel like i lack a tool or craft to get started with data analysis. My education is based within the humanities, and therefore I'm an analyst and not a craftsman as such. We are not taught any practical skills, which always seems like a downside when taking an education within the technology and IT world. The question I would like to ask you is how I can get started within this field, and if a craft (such as programming) is an absolute must? Currently, I'm very excited about the Smart City concept, and as result the new governing organs and structures this development leads to. I hate just pushing words and methodological concepts around, and would really like to be able to convert data in to business- or infrastructural value. I'm not looking for a detour or a shortcut, but hope that some of the more experienced members on the board could give me some advice or insight as to which digital and data trends are obtainable without spending 30+ hours a week coding or learning to do so. So with my analytical background and expertise, how can I get into this field, preferably without working with programming? Thanks in advance (and I hope I make myself understandable!).",0,None,5,Tue Jan 14 2014 22:32:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6834,None,None
/mcastillon,Tournament Round Points in Evaluation,"Will the tournament round be taken into effect for evaluation? Typically, March Madness pools weight points so that a correct pick in the Round of 64 is 1 point, Round of 32 is 2 points, Sweet 16 is 4 points etc.",0,None,1,Wed Jan 15 2014 08:12:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6836,/competitions/march-machine-learning-mania-2014,24th
/sandeep3664,When (and how) are announcements about new competitions distributed? ,"Hi, I am new to Kaggle and wanted to start with a new competition rather than something that has been going on for a while. I looked around but didnt see upcoming competitions or new competitions info anywhere. How does one find out about new and upcoming competitions? I guess I am too used to the Coursera format of looking for upcoming courses :) Thanks, S.",1,None,1,Wed Jan 15 2014 22:58:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6844,None,None
/raphael2,Different score with the same data between Leader Board and Local,"Hi, I have uploaded my first submission (just a .csv) today, but I found that the score is too different between the Leader Board and the Simulator on my local machine. I get $12,736.51 from my local simulator with 1,008 flights in my CSV, but I was scored 87717.47245 on the leader board. Is this a discrepancy between a dollar value and a numeric score? Can someone clarify this for me please? Thanks,",0,None,2,Thu Jan 16 2014 06:46:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6847,/competitions/flight2-main,39th
/yanirseroussi,Kaggle to focus on... oil and gas?,"According to the [Link]:http://blog.kaggle.com/2014/01/15/kaggle-newsletter-up-at-the-presents-down-on-the-map-out-to-galaxy/, ""Kaggle has opened up a second line of business focused on building end-to-end machine learning-powered solutions for customers in the energy industry"". According to the [Link]:bits.blogs.nytimes.com/2014/01/01/big-data-shrinks-to-grow/, this mysterious ""energy industry"" is ""oil and gas, which for Kaggle means mostly fracking wells in the United States"". Apparently, this made [Link]:http://www.quora.com/Kaggle/Why-did-Jeremy-Howard-leave-Kaggle-What-are-his-plans-now/answer/Jeremy-HowardThere are answers from Jeremy and Anthony about this change in direction [Link]:http://www.quora.com/Kaggle/Why-did-Kaggle-focus-on-oil-and-gas-drilling. Thoughts? I find it quite sad...",1,None,4,Thu Jan 16 2014 09:43:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6848,None,None
/srt19170,Please Explain How Submissions Are Scored,"Has an explanation been provided somewhere on how submissions will be scored? If there has, I apologize for overlooking it. -- Scott Turner",0,None,2,Thu Jan 16 2014 16:42:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6850,/competitions/march-machine-learning-mania-2014,60th
/techne,Best Tools for Large Data Sets (non-techy),What are the tools that are used for large data sets that are either web based or not? Open to a link if this has already been asked or answered...,0,None,1,Thu Jan 16 2014 21:40:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6854,None,None
/joycenv,Model Uploads Now Open,"Model uploads are now open. If you would like to be considered for the MATLAB prize, please submit your MATLAB code via the ""Upload your model"" page. UPDATE: I've made a small change to the Timeline. The MATLAB winner will be revealed by Tuesday, January 28. This way we can accommodate submissions of MATLAB code up to the competition deadline at 11:59 pm UTC January 26, 2014. Although you have until 11:59 pm UTC, please give yourself some buffer so that your upload is complete by the time the deadline strikes. Any participant who does not have their model or submission completely uploaded to our system by the deadline (regardless of the timestamp of when you started the upload) will not have that model or submission counted toward the prizes. Consider this fair warning and please start your uploads early!",0,None,5,Fri Jan 17 2014 00:37:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6855,/competitions/packing-santas-sleigh,None
/am51157870,tools needed,"Hi I am new to kaggle I would like to know what tools need to be learnt to compete in contests here.I know python, c++,java and core concepts of machine learning but dont know tools to compete in actual contests",0,None,3,Fri Jan 17 2014 14:27:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6857,None,None
/mohamedabdelbary,Probabilities not summing up to 1,This is probably a misunderstanding on my part but shouldn't the sum of probabilities at every level in the decision tree sum to 1? It doesn't seem to adhere to this rule. Thanks,0,None,6,Fri Jan 17 2014 18:25:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6860,/competitions/galaxy-zoo-the-galaxy-challenge,None
/nedelko,Beating benchmark impossible?,"To improve zero benchmark on MAE criterion we need to find conditions (rules) with conditional probability of default >0.5. This should be very strong regularities, since the prior probability of default is only 0.1.",0,None,8,Sat Jan 18 2014 17:15:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6867,/competitions/loan-default-prediction,None
/zaeemburq,Judging Criteria ,How do you measure the quality of the prediction? What's the metric that measures the distance between the submitted answers and the known results?,0,None,2,Sat Jan 18 2014 22:00:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6868,/competitions/loan-default-prediction,653rd
/tbrichie,train/test split,"How were the data split into the train and test sets? Can I assume that all the loans in the test set were disbursed after all the loans in the training set? Also, how were the public/private leaderboard datasets split? Were the private leaderboard loans disbursed after the public leaderboard loans? Or was the split between the public and private leaderboard chosen at random from the test set?",0,None,5,Sun Jan 19 2014 03:55:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6871,/competitions/loan-default-prediction,273rd
/herimanitra,Faster way to clean data with R,"Hello, The following code imputes missing values by the mean of the column related and removes column whose value are zero: require(data.table) for ( k in paste(""f"",1:778,sep="""") ) { cat(""impute NAs value in train for: "",k, ""\n"") train[,eval(k):=ifelse(is.na(get(k))==TRUE,mean(get(k),na.rm=T),get(k))] cat(""impute NAs value in test for: "",k, ""\n"") test[,eval(k):=ifelse(is.na(get(k))==TRUE,mean(get(k),na.rm=T),get(k))] #remove zero's column: if ( train[,get(k)]==0 ) { cat(""column: "",k,"" deleted in train "", ""\n"") train[,eval(k):=NULL] cat(""column: "",k,"" deleted in test "", ""\n"") test[,eval(k):=NULL] } It takes approximately 2s per loop so very slow with data.table do you have a faster way to perform this task in R?",2,bronze,5,Mon Jan 20 2014 11:50:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6877,/competitions/loan-default-prediction,None
/srt19170,Some Random Thoughts,I've posted some random thoughts about the contest over on my blog for anyone who is interested: [Link]:http://netprophetblog.blogspot.com/2014/01/thoughts-on-kaggle-contest.html Enjoy!,2,bronze,1,Mon Jan 20 2014 17:07:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6878,/competitions/march-machine-learning-mania-2014,60th
/brianliou,Quick Walkthrough for Complete Beginners in R! (.79426 score),"Hey Gals/Guys! My buddy and I made a tutorial that is meant for people (1) with no programming experience and (2) don't have all day to learn this Kaggle project! Its http://statsguys.wordpress.com/ Hope its helpful,",3,bronze,2,Tue Jan 21 2014 01:13:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6881,/competitions/titanic,None
/binghsu,Does any one try the ImageNet model?,"I just read in [Link]:http://www.kaggle.com/c/dogs-vs-cats/forums/t/6845/example-use-decaf-via-nolearn-for-94-accuracy, they use ImageNet model directly to generate the conv feature then run random forest, which leads very impressive result. I am guessing the conv feature is highly abstract and context-free feature. Does any one try in this task? Since the ImageNet is similar to cat & dog but not this one, I am not sure whether it works or not. I am so busy currently and don't have time to do competition, but I think the result may be interesting.",0,None,2,Tue Jan 21 2014 06:41:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6882,/competitions/galaxy-zoo-the-galaxy-challenge,None
/arsenic,Changing profile picture,"Hi I don't have a Gravatar account. Can I change my profile picture without a Gravatar account? Did it automatically get created when I signed up for Kaggle.com? To be honest, I am not very keen on signing up on an unrelated website with my primary email account just to be able to change my profile pic on this website. Thanks",10,bronze,4,Tue Jan 21 2014 15:52:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6885,None,None
/goldman88,cluster analysis,"Dear all, what would be the best logic to find distance in cluster analysis?",0,None,1,Tue Jan 21 2014 16:16:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6886,None,None
/hikingwithpolarbears,Adding Team Members,"I invited 6 people to join my team for the March Madness competition -- which doesn't have a team size limit -- and the site will not let me add more. Even after withdrawing invites, I was not able to invite anyone new. One invite was accepted and I still was not able to add more. I have tried in both Firefox and Chrome including closing the browsers and cleared the history and cache. What do I need to do to add more team members? What am I doing wrong.",0,None,4,Tue Jan 21 2014 22:33:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6889,None,None
/sircausticmail,Looking for a beginner team,Hi working alone is never exciting and inspiring. Looking for a team to work with.,0,None,18,Wed Jan 22 2014 06:14:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6892,/competitions/loan-default-prediction,None
/erickaoshoulin,newbie to kaggle,"Hello All, I am newbie to Kaggle and machine learning. I just finished coursera machine learning course. I randomly pick up the competition to attend, and find out the coursera course is not enough to beat the data. I want to improve myself. Does anyone has any recommended way to improve the knowledge of this field? Any recommended online courses or material? Thanks a lot.",1,None,5,Wed Jan 22 2014 13:35:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6895,/competitions/loan-default-prediction,None
/dorkbean,1st Time Competitor Questions,"FYI. I'm looking to participate for the 1st time in this competition. I have the SAS suite of tools (Data Miner/Enterprise Guide) that I plan to use. A few questions: Is the 'Data' thread in the posts typical? It seems like there is enough challenge without having to troll the forum for metadata that should just be in some top-level documentation along with the data. Are these SAS tools typical in competition or are other toolsets more common? Any guidance is appreciated. Understand I am going in the deep end, just trying to figure out how deep. Thanks, Brett",0,None,8,Wed Jan 22 2014 18:14:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6899,/competitions/loan-default-prediction,None
/davidfoster,New data released on March 17th,"Hello, Could someone confirm exactly what new data will be released on March 17th? I understand we will get the 2013-2014 season data, but what about the additional datasets provided on the forum (e.g. Chessmetrics / RPI / Seeds / Ordinal Ranks / Pointspreads / Sagarin) - will they be updated for the 2013-2014 data too? Thanks David",1,bronze,1,Wed Jan 22 2014 21:03:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6900,/competitions/march-machine-learning-mania-2014,None
/apurva3000,Reading Data,"Hi would anyone help me in telling how can I read these large csv files efficiently in Python. I tried two approaches, first was to read the file directly using pandas into a numpy array but that took huge amount of memory. Second was to read line by line and then keep on storing all the variables in a tuple (per line) and then appending them one by one into a list but this also took huge memory gradually. Somehow, I am not able to deal with big csv data files. I have 2.6Ghz processor and 8gb ram. but still I am missing something.",0,None,2,Wed Jan 22 2014 23:18:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6904,/competitions/loan-default-prediction,None
/neilsummers,Benchmark Value,"I'm a little confused by the benchmark value in the leaderboard of 0.83360.I calculate it to be 0.79958, using this code train = pandas.read_csv('train.csv') def mean_absolute_error( loss_, predicted_loss_ ): assert len(loss_)==len(predicted_loss_) mae = 0. for loss,predicted_loss in zip(loss_,predicted_loss_): mae += abs(loss - predicted_loss) mae /= len(loss_) return mae mean_absolute_error(train.loss,[0]*len(train.loss)) Am i missing something here? X",0,None,3,Thu Jan 23 2014 05:43:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6907,/competitions/loan-default-prediction,40th
/ioannispartalas,Welcome,"We are very please to announce the 4th edition of the Large Scale Hierarchical Text Classification (LSHTC) Challenge. The LSHTC Challenge is a hierarchical text classification competition, using very large datasets. Please consult the information pages regarding the data and the roll-out of the competition. For any question do not hesitate to contact us this forum. We hope you to find this competition interesting and challenging. On behalf of all the organizers, Ioannis Partalas",2,bronze,10,Thu Jan 23 2014 12:15:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6908,/competitions/lshtc,None
/bensolucky,Kaggle Points,"Question for Kaggle... ""Kudos"" Competition count for Kaggle points, right? Same questions for ""Swag"", ""Knowledge"" and ""Limited / Masters"". I think the last are not, and only some of the ""Knowledge"" ones are...correct? Thanks",2,None,1,Thu Jan 23 2014 17:22:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6912,/competitions/march-machine-learning-mania-2014,None
/jsimoespedro,True test set solutions posted by mistake?,"Hi there, I have just noticed that the names on image files from the training set do not match galaxy ID on the training set solutions. Actually there is no single match. Additionally there are 61578 images on the training set and 79975 Galaxy IDs on the training solutions. Just by chance, I suppose the test set is exactly 79975 pictures long. ups...",0,None,11,Thu Jan 23 2014 18:07:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6914,/competitions/galaxy-zoo-the-galaxy-challenge,None
/hq2015,Meaning for the features?,"Can we get the meanings for the features, this can help in many ways. Thanks!",0,None,4,Thu Jan 23 2014 18:29:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6915,/competitions/loan-default-prediction,None
/szaroletta,Highest Possible Score ;-),"Folks, I saw some pretty high scores on the Leaderboard (mine included) and thought...hmmm....just for fun, what is the ""Highest Possible Score""? (e.g. what would the Highest Score Possible be if one did everything wrong like stacking the Presents in the wrong orientation, in a single stack and exactly out of order.) I come up with: Highest Score Possible = 250,136,468,146)Methodology: 1) First Sorted presents so Z was Max(X,Y,Z)2) Then stacked presents exactly out of order (e.g. Present 1 at bottom, Present 2 on top of Present 1, ... , Present 1,000,000 on top.)3) Determined Height=68,234,0734) Determined Height component of metric = 2*68,234,073 = 136,468,1465) Determined Ordering penalty metric:[(1,000,000 - 1)+(999,999-2) + ... +(500,001-500,000)] = 999,999+999,997+999,995+ ... +3+1 = 250,000,000,000(Very elegantly came out to a round number...interesting to contemplate why a consecutive, decreasing series of odd numbers 500,000 numbers in length would come out exactly to 250 billion. Averaging each opposite pair comes to 500,000 and there were 500,000 pairings does lead to 250 B.)6) Added 4) and 5) to obtain Highest Score Possible = 250,136,468,146 Note that a score of 250,136,468,146 would put one in exactly last place on the Leaderboard.",0,None,3,Fri Jan 24 2014 00:21:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6917,/competitions/packing-santas-sleigh,241st
/martin22,Question about the data,"The Data page says: feat is an integer representing a term and value is a double that corresponds to the weight (tf) of the term in the document. Can you clarify whether tf is the number of times a term occurs in the document, or if this value is weighted/adjusted in some way? For example, does the data mean that term 9364 appears exactly 1 time in document 1? Also, does this mean that document 1 has exactly 112 words (I presume, after removing stopwords)? Thank you very much.",0,None,4,Fri Jan 24 2014 00:24:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6918,/competitions/lshtc,4th
/samueldoe,Format of the submission file?,"The format of the submission file is not clear to me. If I have understood correctly, it consists of a header line ""id,loss"" followed by lines having the id and the predicted loss comma separated. But is it assumed that the loss is an integer between 0 and 100 or can it be a fractional number like 42.57? In addition, when I opened the sampleSubmission.csv, it had only the ids in it. Is it supposed to have the predicted losses as well?",0,None,3,Fri Jan 24 2014 11:42:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6919,/competitions/loan-default-prediction,641st
/saavyshopper,Looking for teammate(s),"Hey Kagglers, I'm looking for teammates for this competition; preferably with some competition experience. Email me if you are interested!",0,None,5,Fri Jan 24 2014 18:07:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6922,/competitions/loan-default-prediction,86th
/jonathan21,"Self-checking a score, or assessing the accuracy of a model","I've been reading Trevor Stephens' excellent series and in trying some different techniques I got to wondering: is there a way to self-check a score without having to make a submission? Short of this, what are some good techniques one can use to assess how well a model performs without having to make numerous submissions?",0,None,3,Fri Jan 24 2014 22:55:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6924,/competitions/titanic,None
/leventesziranyi,Napi limit,"Sziasztok! A leírás alapján 10 megoldást tölthetünk fel naponta, a Kaggle viszont csak kettőt enged. Fel tudnátok emelni a napi limitet? Kösz! Levente",0,None,1,Sat Jan 25 2014 22:34:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6931,/competitions/data-mining-technologies-final-home-assignment,1st
/mik3hall,Weka,I think I saw some past forum posts indicating an interest in using Weka for the competition. I have put together something concerning using it for the competition here. http://www195.pair.com/mik3hall/weka_kaggle.html That includes links to downloads for 4 or 5 Weka ready arff train/test pairs of datasets. I also put a very brief description of using Weka on OS X here. http://www195.pair.com/mik3hall/#wekaosx,2,bronze,1,Mon Jan 27 2014 03:47:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6936,/competitions/titanic,None
/yp1154555,how does one predict percentages?,"Guys, I am a newbie curious onlooker (ie not a serious contender :-), wondering how does one predict percentages. Do you model loss/no-loss as a categorical classification? For loss quantity, if one uses linear regression, how do you make it range bound (0-100)? Thanks, Y",1,None,1,Mon Jan 27 2014 04:26:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6937,/competitions/loan-default-prediction,None
/jinseoknam,Availability of raw text,"Hi. I'm wondering if it is also possible to download un-preprocessed vesrion of the dataset like the wikipedia dataset of medium size in the last LSHTC3 event. It would be the best if raw-text will be given, but it is still okay where word (, or word index) order information is available.",0,None,1,Mon Jan 27 2014 13:53:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6941,/competitions/lshtc,None
/kristenc,Congratulations and Thank You!,"Congratulations to all participants and winners!! Thank you for helping Santa to pack his sleigh! This was certainly an exciting competition to watch. The MATLAB solutions will be verified and the MATLAB Prize winner will be revealed by Tuesday, January 28. The Rudolph Prize winner will be announced by Wednesday, January 29. Congratulations again!",7,silver,2,Mon Jan 27 2014 15:42:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6942,/competitions/packing-santas-sleigh,None
/mmucha,Contest rules discussion,"First of all, thanks again to MathWorks for this great contest. It featured a very nice problem, and was directed flawlessly. However we do have some comments regarding the matlab prize rules. The way we understand the official ruling, given by the organizers in an earlier forum thread, the rules are as follows:* the best solution you submit is your qualifying submission.* you win a prize (main/matlab) if your qualifying submission wins it. We believe these rules have some severe weaknesses. In general, these weaknesses are concerned with a situation when a team has two solutions, one in matlab and one in a different programming language, say C++. This other language is significantly faster, and so it makes searching over a larger space possible, thus resulting in a better solution. Here are two specific points. * Suppose you have a solution SM in matlab and solution S not in matlab, S better than SM, but both better than the current leading solution. If you submit S, you are forfeiting the matlab prize. Therefore, the current rules make it the best strategy to not publish your best solutions. Also, we are not sure if you can withdraw submission on kaggle or not. However, it seems that you can not. In that case, the above problem is even more serious. Submitting (even early in the contest) a currently winning non-matlab solution puts you at risk of not being able to win the matlab prize despite eventually having a matlab solution that beats all other solutions. So you should never submit a winning solution, unless you are either: (a) using matlab to generate it, or able to reproduce it in matlab, or (b) absolutely sure that you will not have a matlab solution, ever. This also has some interaction with the Rudolf prize, since if you want to win the Rudolf prize you actually need to keep submitting top solutions. So you need to be really careful, and not submit anything too good. Just enough to beat the others.* In the same situation, suppose you actually decide to publish SM. What happens now is that you have to wait until the end of the contest looking at the scoreboard. For if someone with a better matlab solution submits, you need to submit S. And if someone with a better non-matlab solution submits, you probably want to submit S as well. You are not losing anything here, but you could actually gain by doing this (read on). This is a very weird situation, since if your internet connection breaks down, kaggle goes down, etc. you are losing the contest even though you have the best solution. Someone could say that this is the case with all such contests. No, it is not. Normally, if you are afraid of this happening, you just submit early. But here you cannot submit S early, since you automatically forfeit the matlab prize. So you are forced to play the blackout game, which is just wrong. These are, in our opinion, very serious. They also seem easy to avoid. Instead of using a single qualifying solution, contestants could designate one solution as their matlab solution. Their best solution would be their main prize solution. The matlab prize would be decided based on matlab solutions, the main prize based on main prize solutions. If this is not possible (since users would have to appear twice at the scoreboard), one can also organize two contests simultanously (one exclusive for matlab), or something along those lines. The above were the main problems with the current rules. We also have a question regarding the rules which, we believe, might expose another problem. Namely, how is a matlab model judged? We assume it has to be deterministic, executable, and when executed it has to generate the exact solution that was submitted. How fast? Can it run a week? A month? A year? What is stopping someone from translating a solution from C++ to matlab and submitting the code? Shouldn’t there be some restrictions on that? If a similar contest is held next year, which we really hope is the case, we believe it would be a good idea to resolve these issues. Marcin Mucha and Marek Cygan (Team Master Exploder)",1,bronze,5,Mon Jan 27 2014 21:27:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6948,/competitions/packing-santas-sleigh,1st
/glenr12293,Meaning of module and component,"Hello guys. What is a module? It is a hard disk , RAM, or wireless card? Does a module represent a group of components put together in order to accomplish a defined function? The codes of the components are consistent across modules? That is, component P01 of module M01 represents the same or similar piece of hardware as component P01 of module M07 ?",0,None,11,Mon Jan 27 2014 23:24:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6949,/competitions/pakdd-cup-2014,None
/dontich,M0 Sales data not reparable,"I am assuming that the data for M0 module parts can be ignored? (no M0 parts in indexing scheme and repair log, but M0 units are bought)",0,None,1,Tue Jan 28 2014 02:00:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6951,/competitions/pakdd-cup-2014,None
/timwyckoff,Looking for a Team,"Hello! This competition seems like a lot of fun, but as I am relatively new to ML and Kaggle, teaming up seems like the way to go. Excited to trade ideas back and forth, learning as much as I can. If you're interested in starting a team, or have a spot open, please send me an Email!",0,None,4,Tue Jan 28 2014 04:06:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6952,/competitions/march-machine-learning-mania-2014,None
/sterlinm,Cannot Download Any Datasets,"No matter which competition I try I cannot seem to download any of the data. Each time I get sent to a page that says ""Oops. Something went wrong. The error has been logged for site administrators to review."" Is this a problem with my account or a problem with the site in general?",2,None,12,Tue Jan 28 2014 04:07:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6953,None,None
/abhishek,Does cross validation work?,Can anyone tell me if cross-validation on the training set is giving them similar results on the leaderboard?,1,None,6,Tue Jan 28 2014 12:46:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6954,/competitions/loan-default-prediction,37th
/jimdullaghan,Interviews,"Thanks everyone for your participation. Sorry for the delay in getting interviews rolling! We're actively scheduling interviews now. If you haven't heard from me (FB Recruiting) and you expected to, feel free to reply here and I'll follow up. If you replied to my email with your availability for a phone interview, you'll hear from our coordinator shortly.",1,bronze,7,Tue Jan 28 2014 23:48:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6959,/competitions/facebook-recruiting-iii-keyword-extraction,None
/rwinstonbnc,Sale dates / ids from train and repaire do not match,"Hi, Am I correct to assume that if there is a module / component in the repair dataset, then that respective module / component should exist in the sale dataset?",0,None,2,Wed Jan 29 2014 18:34:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6964,/competitions/pakdd-cup-2014,None
/luffy23616,Issues with Submitting,"First few rows of data PassengerId Survived892 0893 1894 0895 0896 1897 0898 1899 0900 1901 0902 0 Error Column 'PK!b�ha
�[Content_Types].xml �(���MO�0 ��H��*W�f�Z� G���
�q�hi����=n�!�ʦ�]�����kg4Y�6[AD�])��@d�*�����c��ߋ I9��wP�' was not expected (Line 1, Column 1)Required column 'PassengerId' could not be foundRequired column 'Survived' could not be found Any idea what my problem is?",1,None,6,Thu Jan 30 2014 01:08:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6968,/competitions/titanic,None
/christophmolnar,Data split for public/private leaderboard,Is the test data split in two halfs for the public and private leaderboard completely at random or is it split by date?,0,None,5,Thu Jan 30 2014 08:36:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6970,/competitions/pakdd-cup-2014,508th
/gregoirel,RepairTrain.csv data question,"Hi, Does line 349989 in RepairTrain.csv make sense? 1 item (M7, P06) is said to have been repaired before being sold... No huge deal, but worth checking... GL",0,None,2,Thu Jan 30 2014 13:49:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6972,/competitions/pakdd-cup-2014,None
/shuvrobiswas,A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license?,"I am not sure exactly how this rule should be interpreted. Does this mean we cannot use libraries or packages for machine learning? For example, if I am planning on using python, does this mean I can't install libraries like scikit-learn? Or if I am using R, does that mean I cannot install any packages I find on CRAN?",1,None,9,Thu Jan 30 2014 17:04:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6973,/competitions/loan-default-prediction,None
/imankamkar,"Matlab,R or Python","I wonder which one is better for machine learning applications Matlab, R or Python? I would be pleased if someone discuss about their pros and cons. Furthermore, what do most of the Kagglers use to write their programs?",0,None,2,Fri Jan 31 2014 09:34:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6977,None,None
/safadurimo,"Reproducing the paper ""Machine Learning Attacks Against the Asirra CAPTCHA""","Did anyone of your read this paper, which was also mentioned in the Description of the competition? I won't help to go on the top of the leaderboard, but I found it nevertheless interesting. I tried to reproduce everything with python and scikit leanrn und posted my result on github and as an [Link]:http://nbviewer.ipython.org/github/Safadurimo/cats-and-dogs/blob/master/catsdogs.ipynb. While I suceeded reproducing parts very exactly achieving an accurancy of 77%, I failed on other parts. I would love to hear your feedback on this!",4,bronze,4,Sat Feb 01 2014 13:52:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6981,/competitions/dogs-vs-cats,70th
/cpindziak,Is there any signficance for duplicate entries?,"The Data page states that in SaleTrain.csv ""each module-component may have more than one sale log in a month"". The same can be said for RepairTrain.csv; for example, M1 P02 has logged three separate repair entries for module-components sold in 2006/10 and repaired 2006/12 (number_repair: 2, 1, and 1). Is there any significance for the organizers to have provided the data this way? Or is simply ""left as an exercise for the reader"" to coalesce these duplicate entries and sum the number_repair of each?",0,None,2,Sat Feb 01 2014 23:37:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6983,/competitions/pakdd-cup-2014,204th
/zerozero,"Thanks, and congrats!","Thanks for a great competition. Lots of last minute shuffling which made for an exciting finish. Congrats to the top bunch Pierre, orchid, and Owen...well deserved for sure. Also congrats to our new masters...Paul C, Doug K, Matt, and Foxtrot. Many thanks to Daniel Nouri, Foxtrot, Kyle Kastner, DaggerFS, and Maxim Milakov for sharing some strategies and code helping bring to light for myself the power of pre-trained nets. I can't wait to see how the winners squeezed out the extra couple of percentage points.",4,bronze,10,Sun Feb 02 2014 02:21:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6984,/competitions/dogs-vs-cats,45th
/bernatfp,The Open Source Data Science Masters,"Hi, This is the most comprehensive list of resources I've found so far: http://datasciencemasters.org Enjoy!",1,None,1,Sun Feb 02 2014 14:53:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6986,None,None
/milakov,Evaluation: should probabilities be normalized?,[Link]:https://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/details/evaluation states that RMSE is the error measure. Does it mean that the probabilities submitted are allowed to be NOT normalized according to [Link]:https://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/details/the-galaxy-zoo-decision-tree? Thanks!,0,None,1,Sun Feb 02 2014 15:47:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6987,/competitions/galaxy-zoo-the-galaxy-challenge,2nd
/viennamike,"Memory problems, scikit-learn","I'm new to the whole numpy / Scipy / Scikit Learn world. I'm running into memory problems with loading the training data set. Using Canopy's free 32 bit python suite with scikit-learn added. I've a 64 bit machine, but I don't see an easy way to install the 64 bit version of Scikit in Canopy's free version. Would going to 64 bit increase the available memory within python? Whould it be enough to load the train set? I saw something about numpy's memmap. Is that away around the problem? Any other ideas other than moving on to another challenge? :) I figure the test data, while larger, won't be a problem, because once I have my prediction model(s) I can run that data through in chunks. But not for building the model that I can see.",1,None,11,Mon Feb 03 2014 19:28:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/6994,/competitions/loan-default-prediction,432nd
/domcastro,Is the hierarchy disconnected?,I was having a look at the hierarchy with a network package. Most of the nodes seem to be disconnected (1967701) - so no parents. Is this correct? Thanks and sorry if being silly,0,None,3,Wed Feb 05 2014 15:56:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7000,/competitions/lshtc,20th
/wangtongada,sale log,"We have the sale logs only till February/2008, does that mean all these modules stop selling after that or we simply don't have that data?",1,bronze,4,Thu Feb 06 2014 07:10:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7006,/competitions/pakdd-cup-2014,None
/tapan161930,How to use Output_TargetID_Mapping,Can anyone help me how can i use Output_TargetID_Mapping. In Sample Submission sheet IDs are used..what does that mean. Thanks.,0,None,6,Thu Feb 06 2014 12:36:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7007,/competitions/pakdd-cup-2014,None
/triskelion,Data and code forum wiki,"This competition has both a lot of data and seems high on the ""requires domain expertise"" scale. For these reasons I think it is a good idea to keep information and insights about data in one central place. I usually make this competition documentation for myself, but my first experiment to publish a public wiki on the forums was appreciated. I usually aim to compress as much of the posts, but since there is little information on the forums yet, I am going to rant a sparse bag-of-words and edit it out later. I don't know Matlab (yet) nor do I have a license. So I am in the process of porting the example Correlation script to Python. I saw similar efforts to port to Python were planned, but not yet available, on the competition website. Since I do not know Matlab (and probably suck at Python) any help there is appreciated, so Pythonista's could get started. The SampleCode.zip is 80Mb alone and we have but 2 months to go. If you want to contribute, please do share code or insights (no matter the language (ok, please no regular expressions or foul language!)). I think I also understood that there are more accurate (more computationally intensive) similarity measures hinted at in the example code. Is anyone planning to run the benchmark script with different, more demanding, settings? Neuron Activity Browser I've started work on plotting the neuron activity in Python (so you could visually browse neurons and their activities). This graph is an example of the progress. If you want to build your own neuron browser, you could take a column (not a row) from ""fluorescence_iNet1_Size100_CC03inh.txt"" (found in small.tgz). The column index is the id of the neuron, so fifth column is fifth neuron, and its values are activity. The rows are the timeseries, so fifth row is the 5th point in time (i think 20ms times 5). Then (partially) plot these neurons on a graph, where y-axis equals neuron activity and x-axis equals the timeseries points. I plotted the first 2000 points. I am using matplotlib for this. Since we also have a position file, I wonder if it is possible to animate an entire net. I am trying this with PyGame now. Update! All glory to the hypnonetworks!: showing activity for 100 neurons 30 time steps of 20ms interval, 5 x slowed. Real-time: http://i.imgur.com/bBegkvM.gif ROC AUC Evaluation Metric The competition's scoring metric is Area Under the ROC Curve. http://www.kaggle.com/c/connectomics/details/evaluation https://www.kaggle.com/wiki/AreaUnderCurve http://metaoptimize.com/qa/questions/988/simple-explanation-of-area-under-the-roc-curve http://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html In fact, you could get relatively easily AUCs of the order of 0.9. However, an AUC between 0.85 and 0.9 is still deceiving. Assume that you know what the average number of connections per neuron is and that you use this information to decide how many links to include in your reconstructed network. So you select a specific point on the ROC curve, associated to specific true and false positive ratios (TPR and FPR = 1-TPR). Let's suppose you have a network with N=100 neurons and k=12 connections per neuron on average. So, excluding diagonal terms you have 9900 possible entries in the connectivity matrix, and only ~1200 correspond to real connections. If you select a point with a sensitivity=TPR=0.7 for a (1-specificity)=FPR=0.1 you are looking at a subset of 1830 links, of which 840 are correctly identified and 990 wrong! So there is still a lot of room for improvement, since more than 50% of the included links is still wrong! The larger the AUC you will get, the less inference mistakes you will make. But the overall performance is not the only aspect that matters. You might have methods which have a bad overall performance, because of some systematic error, but that still make a good job in detecting specific features, such as the level of clustering of the network, or the presence of certain graph motifs, etc. All these things matter for neuroscience. Correlation I am trying http://docs.scipy.org/doc/numpy/reference/generated/numpy.correlate.html with good results. The average of neuron activities with a connection has a substantially higher (or lower) correlation than neuron activities without a connection. The competition website lists specific and more advanced correlation measures. Contributors/sourcing (use Google to find the posts and threads): http://www.kaggle.com/users/163679/sagredo http://www.kaggle.com/users/163673/salviati",7,silver,2,Thu Feb 06 2014 23:19:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7011,/competitions/connectomics,90th
/wrodezno,Can we use data other than the data provided.,"Can we use data not given by the administrators. For example, could I use GDP monthly data from 2008 to 2009.",0,None,5,Fri Feb 07 2014 05:11:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7017,/competitions/pakdd-cup-2014,None
/john76,Predicting likely quantifiers from natural text,"Consider the following set of examples: Set the value for Book to be less than 8 on a 32-bit machine If NumUsers is not more than 10 then ... do something ... I want to have a number less than 20 ... I want to design a classifier that can predict/extract three things: The quantifier (e.g., less than, not more than, less than respectively) Subject of the quantifier (e.g., Book, NumUsers, number respectively) Value specified in the expression (e.g., 8, 10, 20 respectively) Is this problem solvable through machine learning? I was thinking of designing three different classifiers for this but was wondering if there is a cleaner approach. Any thoughts?",0,None,3,Fri Feb 07 2014 22:04:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7019,None,None
/aadeshnpn,Problem Downloading the CIFAR-10 Datasets,I have problem downloading the CIFAR-10 dataset from kaggle. The dataset size is approx 600 MB but its size is lot more smaller in http://www.cs.toronto.edu/~kriz/cifar.html . Can I use the dataset from above site as basically these both dataset should be same.,0,None,2,Sat Feb 08 2014 07:24:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7022,/competitions/cifar-10,None
/sindi112709,Malfunctional Components Prediction in relation to what?,"Just to be sure: do we have to predict malfunctional components among the components sold until February 2008? Or we have to predict the number of malfunctional components Asus will receive back ""at all"", taking into account also the components sold after February 2008? (so implicitly we have to predict or imagine the number of components sold after this date...). Thanks",0,None,1,Sat Feb 08 2014 15:21:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7023,/competitions/pakdd-cup-2014,None
/lnicalo,Anyone knows how to make kaggle automatically send you an email when a new competition starts?,Anyone knows how to make kaggle automatically send you an email when a new competition starts?,7,None,17,Sun Feb 09 2014 15:33:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7028,None,None
/alexsherman0,"list indices must be integers, not tuple","Hello, I am having difficulty converting the data into a float. Everytime I get the error that the data is tuple. Any advice? >>> data[0::,1].astype(np.float) Traceback (most recent call last): File ""<pyshell#14>"", line 1, in <module> data[0::,1].astype(np.float)TypeError: list indices must be integers, not tuple",0,None,1,Mon Feb 10 2014 04:45:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7030,/competitions/titanic,None
/chitrasen,any success in useing sales data,"As it's mentioned that, sales after Dec 2008 is very small (mentioned [Link]:http://www.kaggle.com/c/pakdd-cup-2014/forums/t/6935/clarification-on-the-semantics-of-the-task/37987#post37987 ), I haven't used sales data yet. Did anyone get any success in using the sales data.",0,None,7,Mon Feb 10 2014 06:59:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7031,/competitions/pakdd-cup-2014,166th
/sethflaxman,Sample code quickstart,Can someone please post step-by-step instructions for getting started with the sample code and making a submission? Thanks!,0,None,8,Mon Feb 10 2014 15:44:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7033,/competitions/connectomics,82nd
/herimanitra,Question about neurons,@Compet Admin: What do you expect to see in the data (when conducting the simulation) for any given couple of connected neurons?,0,None,8,Mon Feb 10 2014 16:09:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7036,/competitions/connectomics,None
/abhishek,points?,are there usual kaggle points for this competition?,0,None,4,Mon Feb 10 2014 20:12:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7042,/competitions/conway-s-reverse-game-of-life,122nd
/katemiller,Question on evaluation method,"Just want to make sure I understand this notice from the leaderboard page: ""This leaderboard is calculated on approximately 20% of the test data. The final results will be based on the other 80%, so the final standings may be different."" To me this means that: 1. The test dataset we download and submit on is only 20% of the sponsor's test data 2. The leaderboard standings are based on that 20%, which implies that when I submit, the MSE on the leaderboard should be identical to the MSE I find myself. 3. Once the contest is closed, the sponsor contacts the leaders (based on the 20% results) and gets their algorithms. 4. Sponsor applies those algorithms to the remaining 80% themselves. The contestants don't know what those MSEs are going to be. 5. The three smallest MSEs on that dataset win the contest. Thanks.",0,None,2,Tue Feb 11 2014 22:56:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7048,/competitions/loan-default-prediction,None
/mfcabrera,Is there a way to know to which word a feature belongs to?,For the method I plan to use I need to know the exact word a particular feature represent. Is there a dictionary or vocabulary available?,0,None,5,Wed Feb 12 2014 11:22:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7050,/competitions/lshtc,None
/curtis0,Competition Results,"Hey, just wanted to ask when you can expect the result of the competition. Maybe how they did the competition in detail, which tools they used, how their model looked like. Just some tips. Or will it never be released public? =/ PS: I know there is already a thread, which covers the main points only Thanks.",0,None,1,Wed Feb 12 2014 12:22:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7051,/competitions/yandex-personalized-web-search-challenge,None
/dnaeye1,Is Weka allowed?,Can we use an application like Weka to make our predictions?,0,None,1,Thu Feb 13 2014 00:07:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7057,/competitions/march-machine-learning-mania-2014,235th
/sergeykozub,Leaderboard private/public split,"Currently the leaderboard page states that it ""is calculated on approximately 0% of the test data"" Does this mean there will be no public score to display? Also, does this mean that the competitors do not have to submit any data for Jan 18, as it will be ignored by the leaderboard?",0,None,1,Thu Feb 13 2014 20:18:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7067,/competitions/flight2-final,2nd
/drorrr,Weather Forecast Data,"Hi, can you please confirm that is possible to use the forecast grib2 files at the cutoff time. i.e. Xf01 , Xf02 ....",0,None,1,Thu Feb 13 2014 22:16:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7070,/competitions/flight2-final,13th
/hyperborean,GRIB2 date parsing bug,"So I based my GRIB2 parser on Ben Hamner's https://github.com/benhamner/GribDotNet and today I discovered that it fails to read data from January 31, 2014, because ""Exception: System.ArgumentOutOfRangeException: Year, Month, and Day parameters describe an un-representable DateTime."" Is it OK to patch the parser at this stage, or should I just shoot myself? (I don't think shooting Ben for giving away free code would be entirely fair.) Edit: In case anyone else has this problem, all you need to do is comment out the ""+1"" on line 43 of IdentificationSection.fs. Yes, the one preceding the comment ""it looks like the days may have been 0-based, need to check this"" :D",1,bronze,6,Fri Feb 14 2014 02:53:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7072,/competitions/flight2-final,31st
/michaelkneier,Utilizing Decision Tree / Probability Constraints,"Hi, How are you guys taking advantage of the decision tree structure of the responses? Has reducing the number of responses by utilizing the dependencies (i.e. Class 10.1 + Class 10.2 + Class 10.3 = Class 4.1) helped your RMSE? Thanks!",0,None,3,Fri Feb 14 2014 04:38:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7073,/competitions/galaxy-zoo-the-galaxy-challenge,82nd
/ashishhere,"What does ""predict the monthly repair amount"" mean","Hi , This is as mentioned: ""Participants should exploit the sale and repair log to predict the the monthly repair amount for each module-component from January/2010 to July/2011."" on the webpage. What exactly are they asking to predict? Is it the number_repair ?",0,None,1,Fri Feb 14 2014 12:13:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7078,/competitions/pakdd-cup-2014,492nd
/isb2013,Generating large values for some module components,"Hi All, I took historic data, aggregated the number of repairs by module components for every month and ran the forecasting model. I am getting very large values( 13,50,100 etc) for some module components. I believe this is the reason for my model to give error rate of greater than 10. However, on manual fitting in values such as 0 or 1, the model is giving an error rate of 5.65. I have used all sorts of forecasting techniques but all methods are generating large numbers for few module components. Any suggestions for improvement of my model? Is there a particular range for number of repairs?",0,None,2,Fri Feb 14 2014 18:19:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7081,/competitions/pakdd-cup-2014,289th
/srt19170,Shared Code:  Auto Entry Spreadsheet,"I'm attaching to this message a spreadsheet that creates an entry based upon team rankings provided by the user. It tries to scale the rankings to a reasonable exponential winning probability function, but obviously the user can customize that as he'd like. For obvious reasons the spreadsheet is currently filled with dummy data, but when the Tournament brackets are released I'll provide a version with the real data filled in. This is ""Version 1"". If you have any suggestions for improvements or find any errors, please let me know! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/38860/1068/kaggle-auto-entry.xlsx [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/38860/1069/kaggle-auto-entry-exp.xlsx",2,bronze,4,Sat Feb 15 2014 17:26:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7088,/competitions/march-machine-learning-mania-2014,60th
/robsymonds,Am I using a bucket instead of a pipette?,"Hi guys, I've entered this as a kind of challenge to see what I can do with a SQL only solution. After a couple of attempts I'm dubious whether I can get a decent result without resorting to something more specialised but am still curious none the less... Bottom line, am I flogging a dead one and should just look into R / Matlab / Python or does anyone think it's possible in SQL? I'll keep on plodding away but was just curious if anyone else had made much progress with this sort of limitation?",0,None,5,Sun Feb 16 2014 01:40:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7090,/competitions/pakdd-cup-2014,157th
/mikeskim,fun patterns in the data (graphics),I'm finding a lot of weird patterns in the data by graphing pairs of features. Here's an example: Anyone else find anything cool? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/38900/1071/38.png,19,gold,27,Sun Feb 16 2014 12:09:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7093,/competitions/loan-default-prediction,7th
/martinthomas,Ranking erased?,"I have just noticed that my profile shows my ranking is None for the two competitions that I have been active in (Digit Recognizer and Titanic) and my entries don't show on the leaderboard. I am also greeted as being new to Kaggle but I have been a member fsince August 2012. Can anyone shed light on this? Thanks, Martin",0,None,2,Mon Feb 17 2014 04:09:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7099,None,None
/abhishek,0.0000 ? ,what just happened?,0,None,8,Mon Feb 17 2014 05:33:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7101,/competitions/march-machine-learning-mania-2014,247th
/larrychristensen,Meaning of NA,"The ""Data"" page mentions ""Missing feature values have been kept as is"". Are these the ""NA"" entries in the data or does ""NA"" mean that the particular feature is ""Not Applicable"" for the entry (possibly because it is made non-applicable by some other features)?",1,None,1,Mon Feb 17 2014 06:56:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7102,/competitions/loan-default-prediction,None
/antontarasenko,"Would you join a coworking space for data scientists, statisticians, and other quants?","Coworking spaces are filled mainly with coders and designers. That's how individual workers make themselves more efficient by working in groups. Quants dealing with data may need cooperation even more, since we have more uncertainty about what works and doesn't work and how to dig. Did you hear about coworking spaces for quants? Imagine a place full of people with the passion of knowing the world through data and models. The place where you could discuss ideas and implement them, find pros from other fields, balance between work and recreation. Would you join one (no idea if it exists already)? Why yes, why no?",1,None,2,Mon Feb 17 2014 12:34:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7103,None,None
/tripletdad,Test data observation,"I am new to Kaggle and like many others I'm doing this to improve my skills. I've doing same steps as most people here and have been able to classify default/no default using the training set with pretty good AUC (0.89). I tried my model on the test dataset for the first time today and got a lot higher rate of defaults than the training set. Does this sound right? It just doesn't seem right to me but wanted to check with others. TIA, Fred",1,None,14,Mon Feb 17 2014 17:07:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7112,/competitions/loan-default-prediction,68th
/aspaceo,Assigning Users to Devices,"Hey guys I'm working on a problem and was hoping someone may be able to offer some guidance. Within my data set I have a list of devices, and a list of individuals using those devices. Most devices have only one user, and most individuals make use of only one device. Some individuals however, make use of multiple devices. What I seek is to identify an individuals primary device. The data is extremely rich, time spent on each device, when an individual engages with what device (eg. date), any transactions an individual makes on a device etc. For most individuals the problem is simple, in most cases engagement with a secondary device is a very small fraction of total activity (< 5%), and all transactions are made from the primary device only, however, some individuals are not so clearly distinguished. Is anybody familiar with techniques that can be applied to this problem, or even what category of analysis / statistics this type of problem would fall under. A huge thank you in advance for any advice you can give.",0,None,2,Tue Feb 18 2014 15:46:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7118,None,None
/pierregutierrez,Recreating a Truncated Test,"Hi, I would like to know what was the technique used to create the test set with truncated history in order to recreate an other test set from the train one. The Customer_id seems to be random. Is the history we have for each user proportional to its original length ? Is this history length random ? Given a history length, were the history lines selected at random ? Thanks",0,None,5,Tue Feb 18 2014 19:11:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7119,/competitions/allstate-purchase-prediction-challenge,321st
/npthree,Where to Start?,"I have an idea of what metrics I think are important to success, but am a novice with high level data mining and code. Could someone give me a startup guide?",0,None,2,Wed Feb 19 2014 00:40:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7121,/competitions/march-machine-learning-mania-2014,None
/sportsdata1,Big Data in Sports,Releasing this ebook later on 'Big Data and Procycling' http://decaironman-training.com/2014/02/18/why-you-should-be-interested-in-big-data-in-professional-cycling/ Was wondering if anyone could recommend software/techniques that I should highlight in it or future posts. Cheers,1,None,1,Wed Feb 19 2014 08:23:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7124,None,None
/gregoirel,correctness of data,"Hello, Should we interpret the sometimes high variability of customer supplied personal information as wrong data or is it just a case of : ""Some customer characteristics may change over time (e.g. as the customer changes or provides new information), and the cost depends on both the product and the customer characteristics."" ? Quick example : customer 10150185 providing 5 different values for duration_ previous. Is Grandpa just trying to reverse engineer the pricer ??? This particular example brings a second question : for any given customer, the record with record_type=1 should be posterior to all the records for which record_type = 0. So for one given customer, when there is a record with record_type = 1 with the same day as all other records for that customer but with an earlier time, should we assume that the purchase happened at least a week after the last quoted price? Thanks , GL",2,bronze,13,Wed Feb 19 2014 11:15:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7125,/competitions/allstate-purchase-prediction-challenge,None
/sfin2015,Data sorting by f275 and f521 in R / integer64 issue,"I want to sort data by f275, f521 key-pair. However ,I run into issue that integer64 data type implementation supports only single key sorting (in R so far). So far I have been casting f275 and f521 but naturally that causes loss, as double cannot present all integer64 values. So is there other than below way to do sorting so that f275 and f521 values are preserved (at integer64 accuracy) ? REMARK: in below R code ending paranthesis are not always displayed correctly, not sure why. They convert to greater than sign. Also some assignments are corrupted and only display as hyphen - Currently I load and sort data as: require(data.table)require(bit64)DT2 <- fread(""train_v2.csv"", header=TRUE, sep="","")DT2sub <- data.frame(f275=DT2$f275, f521=DT2$f521, loss=DT2$loss)sortnames - c(""f275"",""f521"")# cannot dual sort integer64's, thus cast to doubles (with loss of precision)DT2sub$f275 - as.double(DT2sub$f275)DT2sub$f521 - as.double(DT2sub$f521)DT2sort - DT2sub[do.call(""order"", DT2sub[sortnames]), ]DT2sort$rank - as.integer( ave(DT2sort$f521, DT2sort$f275, FUN=rank) )If I do not do above as.double casting I get error:Error in order.integer64(f275 = c(6.12641400843146e-313, 2.67489959352367e-314, : can only order one vector at the momentI looked sort64 implementation and it indeed seems to have currently this limitation:http://r-forge.r-project.org/scm/viewvc.php/pkg/bit64/R/sort64.R?view=markup&revision=132&root=ff&sortby=date",1,None,3,Wed Feb 19 2014 17:21:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7129,/competitions/loan-default-prediction,None
/wcukierski,MIT Tech Review: 50 Smartest Companies,"It is not without our vibrant community that Kaggle would make 19th on [Link]:http://www2.technologyreview.com/tr50/2014/. Congrats to you handsome, beautiful, intelligent people. To quote Whitman, The question, O me! so sad, recurring—What good amid these, O me, O life?That you are here—that life exists, and identity; That the powerful play goes on, and you will contribute a csv file.",1,None,1,Wed Feb 19 2014 17:54:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7130,None,None
/emily18,Multiple Component Repairs?,"Is it possible for a component to be repaired more than once? If so, there seems to be no way to identify these components in the data. Should we assume the parts are repaired once and never malfunction afterwards?",0,None,1,Wed Feb 19 2014 22:07:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7133,/competitions/pakdd-cup-2014,None
/jennyyuejin,Dimension Reduction,"Hi All, I'm just a beginner trying to have some fun (and to not drown myself). So excuse me for asking a potentially amateurish question. Are dimension-reduction techniques like PCA useful for this competition? I have got similar results by using PCA or forest-based feature selection methods. Thanks a bunch for any input in advance! JJ",1,None,2,Thu Feb 20 2014 01:59:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7134,/competitions/loan-default-prediction,267th
/miltonwong,Is there any example code for this competition?,"Hi, all, I 'd rather to know that is there any example code for introduction to this competition? Becuase I'm new to this galaxy recognition domain. Thanks~ Milton",0,None,1,Thu Feb 20 2014 09:58:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7136,/competitions/galaxy-zoo-the-galaxy-challenge,None
/abhishek,Points?,Has it changed now since the competition is no more a knowledge competition?,0,None,2,Thu Feb 20 2014 16:42:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7143,/competitions/march-machine-learning-mania-2014,247th
/geringer,AUC Too High ?!?,"Hi... I have a bit of a puzzle. I am getting AUC: 0.981856025663 with only 10% of the training data ! When I first saw this, I figured it must be overfitting. So I dropped from 80% to 60%, 40%, 20% and even 10%. I still get extremely high AUC (on holdout of train data) Are these results believable? Anyone else getting this? Is there some flaw in the way AUC is determined which should reduce my confidence? Is the data that good? Thanks! Steve",0,None,4,Thu Feb 20 2014 16:59:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7145,/competitions/loan-default-prediction,34th
/ankitagarwal6,Train data and c_previous,"Is this C_Previous refers to policies A-F or to single policy ""C""?",0,None,1,Thu Feb 20 2014 18:36:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7147,/competitions/allstate-purchase-prediction-challenge,None
/sergeykozub,How multiple submissions will be handled in this competition?,"A question to the competition admins. Suppose a competitor has more than one submission in this contest. How will you select which score you will use for the final evaluation? For example, suppose I submit 2 versions of resulting CSV file, one using the original data files, another using the ""testFinalEval_metar_reports_ordered"" modified file, which is allowed in this forum thread: http://www.gequest.com/c/flight2-final/forums/t/7075/taf-file-for-test-days/38920#post38920 I can think of 2 options here: a) Use the minimum public score or let the user select the submission with a checkbox on ""My Submissions"" page - this is the default in other Kaggle competitions. This option will give an advantage over other competitors who submitted just a single file. b) Use just the last submission of the user. This option can be reduced to option (a) - suppose someone makes two submissions scoring S1 and S2, then selects a lower score and re-submits it to make it the last one. Please let us know how are you going to handle cases like the above.",0,None,5,Thu Feb 20 2014 20:57:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7150,/competitions/flight2-final,2nd
/sumitbindra,Negative sales?,The training data set has negative weekly sales? Hows that possible?,2,bronze,2,Fri Feb 21 2014 02:45:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7152,/competitions/walmart-recruiting-store-sales-forecasting,None
/fightraccoon,Repair date earlier than sale data?,"In RepairTrain.csv, Line 349989, it is pretty weird for me that the repair date is EARLIER than sale date. Could anyone explain why? Refurbished product? M7,P06,2007/9,2007/7,1 Thanks, Lionel",0,None,1,Fri Feb 21 2014 12:08:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7155,/competitions/pakdd-cup-2014,600th
/jsimoespedro,Department numbers,Do department numbers refer to the same department across stores? Thanks.,1,bronze,1,Fri Feb 21 2014 19:34:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7159,/competitions/walmart-recruiting-store-sales-forecasting,440th
/algorithmor,NA values in the data set,Certain features in the DataSet have NA values. How should these be treated?,0,None,2,Fri Feb 21 2014 20:43:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7160,/competitions/allstate-purchase-prediction-challenge,1330th
/arsenic,Please implement an upload bar,"Hi Kaggle Admins and Devs I have a suggestion to make. It would be really nice if you could implement an ""Upload Status Bar"" to show the progress of a submission upload. Sometimes the submission can be large (40 MB in size for Conway's Reverse Game of Life) and it would help to get a live feedback of the upload progress, especially for those with slower internet connections. Thanks",0,None,2,Sat Feb 22 2014 08:09:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7165,None,None
/julesvanligtenberg,Thanks to the admins!,"We are not there yet, but I would like to thank the admins for hosting a very interesting challenge!",0,None,2,Sat Feb 22 2014 12:58:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7166,/competitions/flight2-final,27th
/aadeshnpn,Converting the images to Grayscale ?,"All the images in the dataset are in color. Do we need to convert the images to grayscale. As most of the information is lost while converting to grayscale, how can we attain maximum accuracy.",0,None,3,Sat Feb 22 2014 14:17:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7168,/competitions/cifar-10,None
/deepitapai,Newbie's doubt regarding fancyRpartPlot,"Hello everyone,I am a beginner at Kaggle but have managed to do some prediction with the Titanic data set.There's just one doubt that I have. I haven't been able to understand the the fancyRpartPlot available in 'Rattle' package.What do the green and blue buckets signify?Also, could anyone explain the numbers in the bucket(say the first one---0, 0.62-0.38,100%)?Thanks! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/39252/1079/Rplot.png",0,None,7,Sat Feb 22 2014 14:49:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7169,/competitions/titanic,None
/kontoudi,Is this a multi-label regression problem?,"I have to warn you that I am a beginner in data science... I have a conceptual problem. I understand that comparing the images of galaxies, with kNN let's say, I can predict the probability for the answer Q1.1 for instance. Now what should I do to get the probability for Q1.2? Is there an option or a trick so that the algorithm will give the set of nearest neighbors instead of just the prediction for one answer? Thanks",0,None,1,Sat Feb 22 2014 16:59:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7170,/competitions/galaxy-zoo-the-galaxy-challenge,153rd
/pawanhv,Python sample code,Hi When can we expect a sample code for python? will be released anytime soon? Regards,0,None,1,Sun Feb 23 2014 11:40:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7174,/competitions/connectomics,87th
/idrcee,External Data - Align Team Names With IDs,"Hi All, As I try to use external data sources, the biggest problem I face is that team names are not a perfect match between the teams.csv file and the external source. This leads to a lot of manual effort to align the names and there is still scope of error. Needless to say that unless I have this right, nothing else matters. Has anyone faced similar problem(s)? What was the best approach/practice in this case. Thanks, WhiteBoardMarker",0,None,4,Sun Feb 23 2014 17:49:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7178,/competitions/march-machine-learning-mania-2014,170th
/domcastro,can anyone enter? kaggle points?,"Hi, I quite fancied entering this competition but I don't want a job. Can anyone enter and do you receive Kaggle points?",0,None,5,Sun Feb 23 2014 20:01:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7179,/competitions/walmart-recruiting-store-sales-forecasting,5th
/idontknowwhatimdoing0,pre conditioning,"I have been stepping through the code...I can't seem to find where the pre-conditioning values are used. I mean, after the vector G is created, it doesn't seem to be used elsewhere...?",0,None,1,Mon Feb 24 2014 02:02:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7181,/competitions/connectomics,None
/neilsummers,Benchmarking the Regression Model,We have had a lot of chatter about AUC scores and everyone comparing their classification models. But how can we determine how well our regression models are working independently to the classification models. Well one way is during cross validation to put in the perfect classifier (i.e. your training values for the classification) instead of your classification prediction and calculate the MSE using your regression model. I got a MAE of 0.47. Anyone else willing to share?,0,None,5,Mon Feb 24 2014 07:36:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7184,/competitions/loan-default-prediction,40th
/dgonzalez,Aliases,"angry_python, python_heart, pythonista, scouter, scouter2, scouter3, scouter4, test, test2, test3... Does anyone else remember when cheating required some cunning and thought?",0,None,2,Mon Feb 24 2014 13:08:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7185,/competitions/loan-default-prediction,205th
/gtakacs,2 submissions by the top team,"The current top team, jarfo, made a second submission yesterday, that was ~0.3 $ better than his first submission he made 5 days earlier. In my opinion, the improvement cannot be explained by the usage of ordered metar data (Doug Koch pointed out that this does not affect the public day score), or by the usage of the new restricted zones file (running the simulator with the old file increases the cost by more than 100 $ - I experienced this during the main phase, and it can be seen from Jules' s second submission too). jarfo, could you explain, what was behind your yesterday improvement? It is obvious that I am curious as a close rival, but I suppose that other competitors may also be interested the answer.",0,None,4,Mon Feb 24 2014 14:31:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7187,/competitions/flight2-final,5th
/wbtthefrog,Monotonic variables?,"Each product has 7 customizable options selected by customers, each with 2, 3, or 4 ordinal values possible. Is it true for all 7 options that a higher numeric value in the data set corresponds to (a) more insurance, and (b) higher premium cost (all else being equal)? EDIT: Same question for car_value: does a letter later in the alphabet necessarily mean more valuable at purchase? Is it always the initial purchase, or does the data go by when this customer bought it?",2,bronze,1,Mon Feb 24 2014 18:22:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7191,/competitions/allstate-purchase-prediction-challenge,None
/newtohere,number of obs in sampleSubmission.csv ,"Hi All, I am confused on the number of observations in sampleSubmission.csv. From my own understanding, we should submit 4256 obs (same as that in Output_TargetID_Mapping.csv). Any suggestion to make me clear? Thanks a lot!",0,None,3,Tue Feb 25 2014 06:27:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7198,/competitions/pakdd-cup-2014,None
/tegjyotsingh,Do all the stores have all the departments,"Hello, I wanted to know if all the stores have all the departments or is it possible for a store to have fewer departments leading to its total sales for that department to be 0. TJ",0,None,5,Tue Feb 25 2014 06:54:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7199,/competitions/walmart-recruiting-store-sales-forecasting,292nd
/lokendradevangan,Is Any one using survival analysis to solve this?,I am trying to use survival analysis but no luck. I found some readings here http://www.weibull.com/hotwire/issue119/relbasics119.htm#1 but I am not able to figure out how the values of the R(10) and R(9) are calculated Thanks,0,None,4,Tue Feb 25 2014 14:57:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7201,/competitions/pakdd-cup-2014,486th
/shuvrobiswas,Is this a multi-stage competition?,"Will the final determination of winners be made using the test file that is currently provided? Or will there be a new test file at the end of the competition that participants will have to use? If so, will the truncation method for any new test files be the same as the truncation method for the current test file?",0,None,3,Tue Feb 25 2014 21:39:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7203,/competitions/allstate-purchase-prediction-challenge,222nd
/pawanhv,florescence file ,"Hi, what does the values in the florescence file signify? are they related to the intensity of pixels of an image?",0,None,4,Tue Feb 25 2014 23:28:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7204,/competitions/connectomics,87th
/geoffreystoel,Would you use the provided features in a real life prediction model?,"I was wondering quite a bit about the features provided in the features.csv file in relation to a real life model. I can understand that features like temperature, fuel price, etc. are part of a competition and 'retro spect' model ... However would you ever include these in your real life models? Because one would need predictions for these too in future periods and/or the sensitivity of the models shouldn't be too much impacted by them (but then they would fall of the bandwagon anyway). And honestly - how often is the weatherman right on TV :) ? Interested to get your views on this one... G.",0,None,14,Wed Feb 26 2014 00:20:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7205,/competitions/walmart-recruiting-store-sales-forecasting,None
/wbtthefrog,Line breaks in e-mail announcements,"It would be helpful if e-mailed announcements of new posts preserved the line breaks (and ideally other formatting like quotations). Many posts, especially those containing code, are a LOT easier to read that way!",0,None,2,Wed Feb 26 2014 14:38:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7209,None,None
/ryanjones,Using R,"Has anybody successfully trained a model that got good results using R? So far, a number of the methods seem to be focused on python implementations. What data processing techniques/ packages have been useful so far?",1,None,8,Wed Feb 26 2014 16:55:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7210,/competitions/cifar-10,None
/schwallie,Extra data idea,"One piece of data I thought of was the top PER on the team, or possibly top two. PER is a catch-all player statistic. I think having a player that can ""take over games"" may have some predictive power in the NCAA tournament, where if you have to rely on worse players to handle the ball against scrambling defenses that are playing to the top of their ability, then you're going to have a lot more problems with turnovers and scoring.",0,None,3,Wed Feb 26 2014 23:06:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7213,/competitions/march-machine-learning-mania-2014,None
/kakuda0,Merging into one file using R,"Hi everybody, In case it could be useful to someone, I made a little script to merge the information about the stores into one file. dfStore <- read.csv(file='stores.csv')dfTrain <- read.csv(file='train.csv')dfTest <- read.csv(file='test.csv')dfFeatures <- read.csv(file='features.csv') # Merge Type and SizedfTrainTmp <- merge(x=dfTrain, y=dfStore, all.x=TRUE)dfTestTmp <- merge(x=dfTest, y=dfStore, all.x=TRUE) # Merge all the featuresdfTrainMerged <- merge(x=dfTrainTmp, y=dfFeatures, all.x=TRUE)dfTestMerged <- merge(x=dfTestTmp, y=dfFeatures, all.x=TRUE) # Save datasetswrite.table(x=dfTrainMerged, file='trainMerged.csv', sep=',', row.names=FALSE, quote=FALSE)write.table(x=dfTestMerged, file='testMerged.csv', sep=',', row.names=FALSE, quote=FALSE)",36,gold,15,Thu Feb 27 2014 00:44:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7214,/competitions/walmart-recruiting-store-sales-forecasting,572nd
/alkhwarizmi,Sales data in prediction period,No sales data is provided for the prediction period. Is this because sales were discontinued or is predicting this part of the challenge?,0,None,3,Thu Feb 27 2014 05:08:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7215,/competitions/pakdd-cup-2014,281st
/teu7on,Size of Store?,"Hello, I am not really sure what the 'Size' field is, in the stores.csv file. Could someone answer?",0,None,2,Thu Feb 27 2014 19:07:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7220,/competitions/walmart-recruiting-store-sales-forecasting,223rd
/archna,Features from occluded objects,I want to extract features from occluded objects. does anybody know the way out in matlab.,0,None,2,Fri Feb 28 2014 10:43:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7225,None,None
/hwassner,link between coverage options and cost ??,"Hi, I'm having hard time to understand why there is different costs for the same option (and same customer) ? It's the case for the first customer (#10000000) in the training set. shopping_pt 2 -> 5 have the same options and the price is 630 (that's ok) But shopping_pt 6 -> 8 (with the exact same options and customer) the cost is now à 638 !? And the final shopping_pt 9 , we still have the same options & customer but now the price is at 634 !? And no other data seems to be different... How should we consider the price ? and the link between the options and the price ? Thanks for any help.",0,None,4,Fri Feb 28 2014 14:45:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7227,/competitions/allstate-purchase-prediction-challenge,None
/kevinzhu,Would I use Octave or Matlab to join the competItion?,Would I use Octave or Matlab to join the competItion?,0,None,1,Fri Feb 28 2014 21:06:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7230,/competitions/loan-default-prediction,407th
/fellows,Local time?,"Is the value for ""time"" local time at the given ""location""?",0,None,1,Fri Feb 28 2014 22:25:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7231,/competitions/allstate-purchase-prediction-challenge,168th
/fellows,what kind of insurance?,"I assume, given the picture on the Description page and the fact that we are told car_age and car_value, that we are dealing solely with car insurance, but I don't see this made explicit anywhere. Is this a safe assumption to make? Thanks",0,None,1,Fri Feb 28 2014 22:28:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7232,/competitions/allstate-purchase-prediction-challenge,168th
/seangallahan1,"Top Score, not actually our best score? ",Is any one else's best score not actually their best? Of our submissions our best score is above 97% and not the 96.36%.,0,None,1,Sat Mar 01 2014 02:32:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7233,/competitions/machine-learning-assignment-1,16th
/biomathscimike,Closed to new entrants,"I was trying to enter the competition but I keep getting ""This competition is currently closed to new entrants ..."". Can anyone help clarify this issue. Thanks.",0,None,2,Sat Mar 01 2014 04:03:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7234,/competitions/walmart-recruiting-store-sales-forecasting,None
/gunner4life,Error on uploading the submission,"Hi all, I uploaded the file containing ""id "" as the 1st column header and ""loss"" as the 2nd. But I am getting the following error while upload. Can anyone please help? Column 'PK!b�h^
�[Content_Types].xml �(����N�0E�H�C�-Jܲ@5��*Q>�ēƪc[�ii����B�j7���{2��h�nm���ƻR ����U^7/���%��rZY�@1__�f��q��R4D�AJ�h>����V�ƹ �Z�9����NV�8ʩ����ji){^��-I�""{�v^�P!XS)bR�r��K�s(�3�`c�0��������7 M4����ZƐk+�|\|z�(���P��6h_-[�@�!���Pk���2n�}�?�L��� ��%� ��d����dN""m' was not expected (Line 1, Column 1)Column '�ǞDO97*�~��ɸ8�O�c |n���E������B��!$}�����;{���[����2���PK!�U0#�L _rels/.rels �(���MO�0 ��H�����ݐBKwAH�!T~�I����$ݿ' T�G�~����<���!��4��;#�w����qu*&r�Fq���v�����GJy(v��*����K��#F��D��.W � �=��Z�MY�b��
�BS����7��ϛז��' was not expected (Line 1, Column 837)Required column 'id' could not be foundRequired column 'loss' could not be found",0,None,2,Sat Mar 01 2014 16:53:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7235,/competitions/loan-default-prediction,585th
/jamesmf,Neural Activity vs Fluorescence,"I'm having trouble conceptualizing the relation between fluorescence and an individual action potential. Since the time interval is 20 ms, we're potentially capturing multiple action potentials per observation. Is a dramatic increase in fluorescence over a period of several observations representative of bursting activity?",0,None,3,Sat Mar 01 2014 22:45:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7238,/competitions/connectomics,None
/attilaegri,many to one?,"Hi Everyone, I've noticed some strange behavior: I managed to solve 13678 of the 50000 problems exactly, but my public score is worse than the all dead benchmark.My submission contains 309122 ones, so by my calculation i would be around 0.127. It's far from the top, but I am corious. I made a new submission only with my solutions for the step=1 and 2 cases, and it performed better. My question: how this is possible? As I understand a submission is evaluated against THE solution, so any other solution could be worse. But just have a look at the fifth element in the test set. It has an oscillating pattern with only 9 alive cells. But if I add some more alive cells, it can vanish in two steps, so many-many solution exists. (between 9 and 369 alive cells as i experienced). I found similar cases for bigger step sizes. I feel, that this problem is much like a many to one, than a one to one. Attila",0,None,2,Sun Mar 02 2014 02:06:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7239,/competitions/conway-s-reverse-game-of-life,86th
/samimerdogan,"Is the test data truncation a ""trim"" or ""thinning out""?","In the test data, can we assume that the set of quotes for a customer are contiguous in time? Or is it possible that the customer received additional quotes between those listed?",1,bronze,2,Sun Mar 02 2014 06:36:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7240,/competitions/allstate-purchase-prediction-challenge,436th
/mahasendehideniya,Need advice to use R for loan Prediction ,"Hi all, I'm new to world of BIG Data and Predictive analytic. But i have basic knowledge in R and programming. I need to sharp my skills in the field of BIG data. That is why I joined to this. I tried to load training data in to R (R Studio) but it is considerably slow although I'm using core i 5 machine with 4 GB ram. Can someone give advice to me, regarding I how can I deal with large data set in R ? Thanks in Advance, Mahasen",0,None,1,Sun Mar 02 2014 08:02:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7241,/competitions/loan-default-prediction,None
/sfin2015,Feature extraction times from training data,"Hmm I was wondering how long image feature extraction from training data took for others? Processing on my system takes 17 hours (on i7/920 with 16GB RAM and running R 3.0.2/64-bit). I am calculating mostly simple features and a few more complicated (Fourier, Fractals and shape of mass distribution). However my implementation is likely using only 1 core out of 4. I guess this is one reason why some are using those GPU libraries to speed-up processing significantly.",0,None,2,Sun Mar 02 2014 12:08:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7243,/competitions/galaxy-zoo-the-galaxy-challenge,201st
/dremovd,MAE,"Всем доброго дня! Возник вопрос про метрику. Простите, может он банальный и это объясняли на семинаре/лекции, но я не заметил обсуждения. Допустим, мы знаем вероятность того, что объект принадлежит к классу ""50000+"" с вероятностью p. Пусть, мы отправляем значение x из промежутка [0; 1] Тогда в среднем мы получим ошибку: e(x) = p(1-x) + x(1-p) = p + x - 2px e'(x) = 1 - 2p Эта величина положительна при p < 0.5 и отрицательна при p > 0.5 То есть минимум достигается на границе. В первом случае на x = 0, а во втором на x = 1. Вопрос: 1. Не ошибся ли я в выкладках? 2. Почему нам предлагают присылать ""оценку близости"", если мы всегда можем получить больше score просто отодвинув нашу оценку в один из краев отрезка?",0,None,3,Sun Mar 02 2014 12:09:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7244,/competitions/competition-1-yandex-shad-ml-spring-2014,7th
/ofdomejean,Predicting coverage options?,"Hi, The problem says that the purchased coverage options (A-G) have to be predicted (sample submission), but those options are in the train and test sets, besides from that every customer has 1 in the variable record_type (training set), that means he/she made a purchase. Do we have to predict the set of coverage options that the customer in the testing set will choose at the moment of purchasing an insurance policy?. Is there something I’m missing? I know a lot about machine learning theory, but I have little experience using those methods in real world datasets like this one, that is why this question must sound a little obvious for most of you. Any help, thanks in advance.",0,None,3,Sun Mar 02 2014 16:47:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7245,/competitions/allstate-purchase-prediction-challenge,1388th
/fellows,Allstate risk_factor and cost model(s),"Dear Admins, I'm curious what you can tell us about how Allstate computes the ""risk_factor"" for a given customer, and the ""cost"" for each set of options given a customer. I imagine the answer will be something like, 'it's proprietary so we can't tell you anything'. Understandable, of course, but it seems to me that any algorithm arising out of this competition will be more useful to them if the algorithm is allowed to make use of information such as this. To be a little more concrete, I'd like to know, for example: does ""homeowner"" affect ""cost"" only through its influence on ""risk_factor""? Does ""homeowner"" influence the calculation of ""risk_factor"" at all? Does it influence ""cost"" at all? Short of being able to tell us their (probably very complicated) risk and cost models, can you at least tell us which of the available factors (location, married_couple, homeowner, etc.) influence their computation of ""risk_factor"" and ""cost""? Finally, if all of the above is too much, and even if it isn't, can you tell us whether or not the customer is able to see their ""risk_factor"" when contemplating a purchase? Thanks!",0,None,5,Sun Mar 02 2014 19:57:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7247,/competitions/allstate-purchase-prediction-challenge,168th
/richardlonigro,Syntax error in Python Tutorial?,"#Using the index from above we select the females and males separatelywomen_onboard = data[women_only_stats,0].astype(np.float) men_onboard = data[men_only_stats,0].astype(np.float) # Then we finds the proportions of them that survivedproportion_women_survived = \ np.sum(women_onboard) / np.size(women_onboard) proportion_men_survived = \ np.sum(men_onboard) / np.size(men_onboard) #and then print it outprint 'Proportion of women who survived is %s' % proportion_women_survivedprint 'Proportion of men who survived is %s' % proportion_men_survived When I try to punch this in, I get a syntax error. This is copied and pasted straight from the tutorial. I'm using Dreampie 1.2.1 and Python 2.7.",0,None,2,Sun Mar 02 2014 22:03:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7248,/competitions/titanic,None
/tantrev,Wiki?,"So I remember some generous soul around here had a ""wiki"" that detailed all the known knowledge about the supposed meanings of some of the features. I was trying to find it again but am wondering if it has been deleted?",0,None,2,Sun Mar 02 2014 22:16:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7249,/competitions/loan-default-prediction,165th
/tenaciousterrier,Okay to Use for Class Project?,"Hello, Is it okay to use the data from this competition for a school project without violating the competition rules. I know that for this competition it says, ""Any sharing code or data outside of teams is not permitted. ."" I plan on doing an analysis and submitting my methodology and results for my machine learning term project. If possible, I would also like to submit the results of my project to the competition. Thanks, Thomas",0,None,3,Sun Mar 02 2014 23:43:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7252,/competitions/walmart-recruiting-store-sales-forecasting,616th
/dimkadimon,Alternative scoring,"I remember that early on in the competition there was discussion about using alternative scoring. So something like this: you submit the starting boards (like now), the scorer runs the starting board for delta steps, the produced board is compared with the stopping board. You get a point for each correct cell that matches the stopping board. This single change to scoring would completely change how I approach the problem, since now you don't care about all the possible starting boards and you only need to find one. However, I still don't know what the best approach is to that version of the problem. How would you approach it?",1,None,3,Mon Mar 03 2014 04:51:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7257,/competitions/conway-s-reverse-game-of-life,14th
/mikhailtrofimov,Loading data into R,I have trouble with loading data. Are there any packages for this problem? Or maybe custom scripts?,0,None,1,Mon Mar 03 2014 14:23:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7261,/competitions/lshtc,None
/wcukierski,Major test set correction (test_v2.csv),"It turns out the previous [Link]:https://www.kaggle.com/c/allstate-purchase-prediction-challenge/forums/t/7126/minor-test-set-correction was not an off-by-one error. Thanks to some [Link]:https://www.kaggle.com/c/allstate-purchase-prediction-challenge/forums/t/7251/to-admins-test-vs-train-discrepancy, Allstate has taken a second look and found that the test set was indeed missing the first shopping point for each customer. A new test set has been posted (test_v2.csv), which has the first shopping point for each customer. Everyone should download this new set (you don't need it, but you will do a lot better with it).",0,None,8,Mon Mar 03 2014 17:55:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7268,/competitions/allstate-purchase-prediction-challenge,None
/kozlod,Freelance Data Science,"Is it posible to find Data Scientist job as a Freelancer? I worked for few years as Web Developer Freelancer, but I don't know about Date Science.",1,None,1,Mon Mar 03 2014 19:04:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7269,None,None
/rrrbing,family trees of Titanic passengers-- data problem,"I wonder if anyone notices that both PassengerId 69 and PassengerId 1106's SibSp and Parch values are incorrect. I believe that these two ladies were traveling alone (SibSp=0 and Parch=0). Why? From their title, ticket number, fare price, and age compared with other Anderssons. And I also double checked on-line Titanic passenger information. What is the extent of data problem in SibSp and Parch? Or is data cleaning part of this competition? I'd appreciate anyone who would share your thought on the issue. Thanks.",3,None,1,Mon Mar 03 2014 19:29:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7270,/competitions/titanic,None
/ofuture,"admin,pls give a  explanation about my submission!","Please give a explanation about my submission. I have sent two emails but no reply.i only play in the rule.after i test the last submission,i have sent a email to check whether i can use all dataset provided in the challenge,but no reply, i don't know it's a bug or magic. if you think it's a bug,you should at least communicate with me not but secret remove my all two submissions. if there has a bug,you should stop the challenge.",0,None,6,Mon Mar 03 2014 21:28:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7272,/competitions/march-machine-learning-mania-2014,None
/dremovd,Выкидывание признаков (технически),"Здравствуйте! Может кто-нибудь знает красивый и быстрый способ отфильтровать выборку по признакам ndarray(). Именно техническое решение, когда на руках уже есть список индексов или list() boolean переменных. То есть примерно то, что делает transform в классификаторах, только по собственному управлению. Спасибо!",0,None,3,Tue Mar 04 2014 00:20:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7275,/competitions/competition-1-yandex-shad-ml-spring-2014,7th
/nagarajraveendran,how to consider na values?,shall we replace the na values with null?,0,None,2,Tue Mar 04 2014 06:35:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7278,/competitions/walmart-recruiting-store-sales-forecasting,None
/ankitagarwal6,Coverage option A-G doubt,"For ex- :for 10000012 customer in set of coverage options A-G different possible values are given lets say for A(coverage option) values is 1 out of 3 possible values 0,1,2(as given in data). Should it be read as customer received quote 1 for coverage option A?",0,None,1,Tue Mar 04 2014 07:27:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7279,/competitions/allstate-purchase-prediction-challenge,None
/sushize,To admin: Public board test data & Private board test data,"Dear admins, Information on the leader board mentions that ""This leaderboard is calculated on approximately 30% of the test data. The final results will be based on the other 70%, so the final standings may be different."" So if I understand correctly, the 30% public board test data would stay the same for all submissions during the competition period (and respectively, the final 70% private board test data would stay unchanged from now.) However, I have reasons to believe that this is not true. For example, when I submit the last quoted plan method prediction (pred1.csv) to Kaggle, I get the 53.793% prediction accuracy on the public board test data. And when I submit another algorithm prediction (pred5.csv) to Kaggle,and I get 40.080% prediction accuracy on the public board test data. This implies that Pred1.csv and Pred5.csv at least have 30%*55716*(53.793%-40.080%)=2173 different prediction results on the public board test data, given the assumption that the public board test data stay the same for different submissions. However, when I look into the detail of Pred1.csv and Pred5.csv, I find that there are only 1751 different predictions between Pred1.csv and Pred5.csv on the whole 55716 test data. Since 2173>1751, this is a contradiction (Because, if Pred1.csv and Pred5.csv are only different on 1751 records of all the 55716 test data, it is impossible that Pred1.csv and Pred5.csv could have >=2173 different prediction result on the public board test data, given the assumption that the public board test data stay the same for different submissions.) Therefore, we could conclude that the public board test data for my pred1.csv submission and pred5.csv submission should be different. (P.S.: I have attached the two submission csv files Pred1.csv and Pred5.csv here.) Finally, if public board test data actually doesn't stay the same for all submissions (respectively, private board test data doesn't stay the same from now), then the statement ""This leader board is calculated on approximately 30% of the test data. The final results will be based on the other 70%, so the final standings may be different."" might be possibly a bit mis-leading and it might be better to be clarified. Correct me if I am wrong. And thanks! Shize [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/39896/1093/Pred1.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/39896/1094/Pred5.csv",0,None,3,Wed Mar 05 2014 19:07:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7286,/competitions/allstate-purchase-prediction-challenge,37th
/ydhiman,C_previous  explanation ?,Can someone please explain varaible C_previous .,0,None,3,Thu Mar 06 2014 08:11:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7289,/competitions/allstate-purchase-prediction-challenge,1305th
/eduardoustarez,RapidMiner Studio and data preparation,RapidMiner Solution 1. Discretize by User Specification attribute Survive to Nominal 2. Set Role Survived to Label 3. Discretize Age by Frecuency 4. Remove Missing Values 5. Discretize by User Specification attribute PClass to Nominal 6. Numerical to Polynominal 7. Rule Induction Model .................................................................Does anyone have a better idea? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/39935/1104/RapidMinerSolution.png,0,None,4,Thu Mar 06 2014 17:46:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7298,/competitions/titanic,None
/themathpath,confusion about the car_age variable,"Hi, I found the unique values for car age are ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '57', '58', '59', '6', '60', '61', '62', '64', '65', '7', '74', '75', '8', '85', '9'] Is it possible that data have e 85-year-old car? Or the data points are coded differently. Some values mean the year the car was made, and some mean the car age? Thanks!",0,None,1,Fri Mar 07 2014 01:01:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7303,/competitions/allstate-purchase-prediction-challenge,None
/ialong,Hierarchy ,"Hello, I would like to ask the competition admins if it would be possible to disclose some information concerning the structure of the hierarchy. In particular, I would like to know if there is a structural reason for the cycles in the hierarchy (I guess I am really asking about the nature of the hierarchy and what sort of information it encodes) and if there are any warranted assumptions we can make in order to simplify or remove them. Any help would be greatly appreciated since the size of the hierarchy makes this sort of investigation very time consuming. Alessandro",1,bronze,2,Fri Mar 07 2014 03:26:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7304,/competitions/lshtc,33rd
/jainkunal,Discrepancy -  Age_oldest and age_youngest?,The way I understood it was age_oldest is age of oldest member in the group and similarly age_youngest is age of youngest member. How come they have different values for a customer when there is only one customer in the group (e.g. cust id 10000014 in train data)? Am I missing something? KJ,0,None,1,Fri Mar 07 2014 11:55:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7305,/competitions/allstate-purchase-prediction-challenge,None
/hoolu44085,Score on the leaderboard,"I am a newbie to kagge and just got interested in this loan default prediction. I have a question on the score on the leaderboard. How is the score calculated? It doesn't seem to be the MAE... when you point your mouse to the score, it shows another number which is much smaller and seems like the MAE. Can anyone explain it? Thanks!",0,None,1,Fri Mar 07 2014 12:53:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7306,/competitions/loan-default-prediction,None
/geringer,Share (nonleaderboard) MAEs ?  ,I am at a brick wall. My cross validation MAE is stuck at 0.43. which gives a leaderboard score of 0.51. So either I have missed something critical or the other players are optimizing for leaderboard standings (a risky strategy). What MAEs are you seeing on cross validation? Are you trying to tune your solution to the public leaderboard standing or are you playing it straight with CV MAE? Thanks !,0,None,18,Fri Mar 07 2014 18:13:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7308,/competitions/loan-default-prediction,34th
/wzchen,Suggestions on creating submission file in R?,"Hey everyone, I have my (simple) model, but have the problem that the test file is too large for my RStudio to handle. Does anyone have tips on how to load in the test file and make my submission? Thanks,William",0,None,3,Fri Mar 07 2014 19:16:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7310,/competitions/loan-default-prediction,None
/keithzhou,Extreme large value (and variance) features,"When looking at the data, it appears some features has extremely large values. For example, column 617 has min value 2792379252744499744573751296 and max value 73014636354119001351722496950272. i am wondering what meaning could this column possibly mean. Hopefully this is not some registration number",0,None,2,Sat Mar 08 2014 04:34:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7315,/competitions/loan-default-prediction,149th
/kandarppatel,What does Target Score mean?,"I am really new to kaggle and this is my first project. My questions is what does the target ""prediction score"" mean. Does it mean we have to predict exactly after how many months it is going to fail or does it mean give a score from (1-10) regarding how bad is it or something else. Please let me know",0,None,3,Sat Mar 08 2014 07:57:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7316,/competitions/pakdd-cup-2014,None
/alaneng,What algorithms should I consider for this project?,"Hi there, I'm fairly new to sentiment analysis and was wondering what algorithms I should consider when training my model. I've looked into multi-class support vector machines, notably the e1071 package in R, but it seems like the svm() function allows only for numeric input. Thanks in advance for any tips/direction!",0,None,4,Sun Mar 09 2014 07:38:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7319,/competitions/sentiment-analysis-on-movie-reviews,None
/pradipdas,"What is the ""type"" information in ""stores.csv"" file?","There is 3 category of type ""A"",""B"" and ""C"". What is the meaning of those type?",2,bronze,1,Sun Mar 09 2014 07:51:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7320,/competitions/walmart-recruiting-store-sales-forecasting,None
/mm6153191,Something Strange in the Loss data,"Hi, I was trying to model the loss given default with a simple linear regression. With given data without changing orders I found a set of variables which was giving me r squared value around 0.55. When I applied the same set of variables in the loss data sampled randomly in a random order I am getting r squared value of .01 with same variables and most of them insignificant P value. Has anybody else observed this? What could be the probable reason for this? I am bit confused here. any explanation will be appreciated. Thanks.",0,None,3,Sun Mar 09 2014 18:44:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7321,/competitions/loan-default-prediction,None
/eugene1751,Reports of the winners! ,"Hello, The reports of the winners are available on the WSCD workshop [Link]:http://research.microsoft.com/en-us/um/people/nickcr/wscd2014/schedule.htm. Also, you can download them directly: Dataiku team (1st place): [Link]:http://research.microsoft.com/en-us/um/people/nickcr/wscd2014/papers/wscdchallenge2014dataiku.pdf Guocong Song (2nd place): [Link]:http://research.microsoft.com/en-us/um/people/nickcr/wscd2014/papers/wscdchallenge2014pointwise.pdf Maksims Volkovs (3rd place): [Link]:http://research.microsoft.com/en-us/um/people/nickcr/wscd2014/papers/wscdchallenge2014volkovs.pdf",4,bronze,1,Sun Mar 09 2014 19:20:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7322,/competitions/yandex-personalized-web-search-challenge,None
/twwt79124,record_type contains only zeros,"Hi, The variable record_type contains only zeros. As such it contains no information. Thanks, T",0,None,3,Sun Mar 09 2014 21:50:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7324,/competitions/allstate-purchase-prediction-challenge,None
/rahulmohan,Confusion about the cost variable,"Hi, If you look at various points in the data, the cost of a quoted insurance plan is different even if the ABCDEFG values are exactly the same. For example: 1 0 2 2 1 2 1 630 1 0 2 2 1 2 1 638 1 0 2 2 1 2 1 634 How can the cost of a plan be different every time if the plan is the exact same? Also, I wanted to partially reverse-engineer the cost model through a regression model; would this be particularly useful in predicting plans or do you think it would it be useless? Thanks Rahul",0,None,4,Mon Mar 10 2014 01:06:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7325,/competitions/allstate-purchase-prediction-challenge,None
/rahulmohan,Improving on the last quoted benchmark,"Hi Guys, Right out of the gate, it seems like the obvious machine learning approach to this problem would be as follows: Construct 7 different classifiers to classify A,B,C,D,E,F,G individually. Extract various features based on transaction history relevant to each classifier; for example for the ""A"" classifier, you would extract features relevant to the the customer's historic transactions with plan ""A"". Next, you would include the other variables given in the training data. Next would be some sort of a feature selection pipeline, followed by small improvements here and there, with maybe ensemble's or something. Obviously, I haven't implemented this yet, but what are your opinions on this? It is not very clear why this would work better than the simple last quoted plan benchmark, when I manually examine some of the transactions in the training data. Your thoughts? Thanks Rahul",0,None,1,Mon Mar 10 2014 01:24:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7326,/competitions/allstate-purchase-prediction-challenge,None
/saikumarallaka,What is other 70% here...!!??,"This leaderboard is calculated on approximately 30% of the test data.The final results will be based on the other 70%, so the final standings may be different.",0,None,1,Mon Mar 10 2014 04:59:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7327,/competitions/walmart-recruiting-store-sales-forecasting,48th
/skeller,Not sure on this one.. Failed Submission,"Could not parse '' into expected type of Double (Line 2280, Column 2)",0,None,5,Mon Mar 10 2014 15:21:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7331,/competitions/march-machine-learning-mania-2014,152nd
/shaifaliagrawal,Normalizing data ,"Hello I am new to Data Science and also asking this question very late but its better to be late than never. When I download the data first step I thought to be is to normalize it using z-score normalization; but I always be in confusion that how should I approach for it. z-score normalization formula is xij = (xij - mean)/std deviation so here mean should be mean of each column or each row or of whole dataset and same question for std deviation. For Eg in a dataset we have around let say 10 columns/features(f1, f2..f10) and 100 rows/tuples; so in order to normalize data I should proceed in 3 ways: calculate mean and std dev for each column and then apply z score normalization formula with mean and std dev equal to that of column of which xi belong to. ==> xij = (xij - mean[j])/std deviation[j] We will have 10 different mean and std dev. calculate mean and std dev for each row and then apply z score normalization formula with mean and std dev equal to that of row of which xi belong to. ==> xij = (xij - mean[i])/std deviation[i] We will have 100 different mean and std dev. calculate mean and std dev of whole dataset and thenappy z score formula on each element of dataset. We will have single mean and std dev. In any case we will get every value of our dataset transformed to be in -1 to 1. So please tell me which method is correct to apply and why or one can apply any of the three option.",0,None,5,Mon Mar 10 2014 17:27:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7340,/competitions/loan-default-prediction,None
/sfin2015,Importance of colours of images in predictions,"I did small test to see if there is difference between using only gray channel features (features computed from rgb->gray converted images) vs RGB features. I would think that converting RGB to HSV might provide better insights, but I did not try that yet. I found out (using gradient boosting variable importance) that many Green and Blue features come out as first in variable importance before any gray channel only features. This I just tested for class1.1, class 1.2, class1.3 but I suppose similar findings can be done for them. Also I noticed that (some) green channel features are significantly more important than blue or red channel features [again checked only for 1.1,1.2 and 1.3 class outputs]. This might be related to fact that human eye observes blue wavelength worse than green or red. See for example http://www.normankoren.com/Human_spectral_sensitivity_small.jpg (that is why I used originally heavy downweighting of blue channel when converting RGB images to gray scale). Anyone else tested importance of RGB channels (and willing to share any information :))?",0,None,8,Mon Mar 10 2014 17:36:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7342,/competitions/galaxy-zoo-the-galaxy-challenge,201st
/kontoudi,Activity propagation speed,I have been exploring the mock dataset and trying to see for which time difference we get maximal correlation between two fluorescence time series. To my surprise I find that the correlation is maximum for zero time difference. I would expect that the correlation would be maximal for some finite time difference depending on the distance between the neurons and reflecting the fact that the activity is propagating at some finite speed and not instantaneously. Is there something wrong with this reasoning?,0,None,4,Mon Mar 10 2014 22:47:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7344,/competitions/connectomics,None
/jlc142,Eligibility Rules,Deleted,0,None,1,Tue Mar 11 2014 02:40:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7347,/competitions/walmart-recruiting-store-sales-forecasting,188th
/evilpuppetmaster,Customers' demographics change between points,"I've noticed quite a few examples where a customer's demographic information seems to change between shopping points. Commonly their years of previous cover or car age and so on. Presumably they can update these details during the course of their shopping. Given that these details are unlikely to have actually changed during the course of the shop, is it safe to assume that the last changed values are the correct ones?",0,None,2,Tue Mar 11 2014 14:18:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7348,/competitions/allstate-purchase-prediction-challenge,None
/triskelion,Sentiment Analysis with Vowpal Wabbit,"I used Vowpal Wabbit to get my current score. I wrote [Link]:http://mlwave.com/movie-review-sentiment-analysis-with-vowpal-wabbit/ on the data sets in this competition, which includes some (mediocre) Python code to munge the data. It follows 5 steps/tasks: Download the data and get a feel for it. Installing and running Vowpal Wabbit on your machine Munge the data and extract features Training a model Create submission file on the test set The article ""benchmark"" scores about ~61% on the public leader board. That's likely not the best score for the awesome Vowpal Wabbit. Any tips, feedback, experiences using Vowpal Wabbit in this challenge are therefor welcome.",13,bronze,7,Tue Mar 11 2014 19:19:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7353,/competitions/sentiment-analysis-on-movie-reviews,291st
/jaspreetsingh,"""Statistical/Machine learning component""","One of the rules states: ""Your method should have some statistical/machine-learning component. It's okay if it has some manual aspects (e.g. specifying a prior by hand), but it should not be entirely manual."" Please clarify. For example, I presume that something like the seed benchmark given here ""0.5+0.03*seed_difference"" would not be an acceptable solution ? But what about, e.g., a1+a2*seed_difference, still a very simple model, but where the coefficients are picked based on the data provided. Would that count as an acceptable solution ? If yes, I guess one does not need to explain what analysis was performed (implying that, in any case, it is tough for the organizers to verify what ""statistical/machine learning"" component the algorithm has.) Thank you.",0,None,3,Tue Mar 11 2014 22:27:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7354,/competitions/march-machine-learning-mania-2014,29th
/johnfong,H1B visa holder allowed to claim prizes if won?,Are H1B visa holders allowed to claim prizes legally if won?,2,None,4,Wed Mar 12 2014 00:07:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7356,None,None
/mm6153191,Help in computing F1 score in matlab,"Hi, I am trying to implement this problem in matlab. I am not sure if I am calculating the F1 score correctly. Below is my code [X_axis,Y_axis,T,AUC,OPTROCPT] = perfcurve(targetValid>0,predicted_default_probability,true); optimum_sensitivity_specificity_difference = (OPTROCPT(1,2)-OPTROCPT(1,1)); optimum_index = find((Y_axis-X_axis)==optimum_sensitivity_specificity_difference); Thereshold_value = T( optimum_index); Then I am using the above threshold value to calculate TP, FP , FN,TN and calculate F1 score as F1 = 2*TP/(2*TP + FP + FN) ; Is this a proper way of doing this or I am missing something here. Any help appreciated. Thanks.",0,None,1,Thu Mar 13 2014 06:30:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7367,/competitions/loan-default-prediction,None
/bensolucky,Why All or Nothing?,"I'm wondering why the evaluation metric here is all or nothing. Why not score on some percentage of the correctly predicted coverage options? The final standings with that metric would have less noise / randomness and incremental gains in accuracy would be probably be useful to Allstate. I'm partly asking because I was in a recent competition (flu) where the competitors gradually became dissatisfied with the evaluation metric. If there's a better way in this competition, it's not too late to consider changing it.",1,bronze,2,Thu Mar 13 2014 07:36:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7368,/competitions/allstate-purchase-prediction-challenge,30th
/arshad,Algos for this project,"Hi, I am new to data mining, what is the best starting point algo for this competition? Regards",0,None,2,Thu Mar 13 2014 12:00:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7382,/competitions/allstate-purchase-prediction-challenge,928th
/domcastro,Big Leaderboard shakeup,"I can't decide if there will be a big shake up of the leaderboard. In the Big Data and Evergreen competitions, there were huge shakeups but in the recent Flu compettion, I expected a shakeup but there was hardly any movement at all. Big shakup or not?",0,None,9,Thu Mar 13 2014 20:31:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7387,/competitions/loan-default-prediction,81st
/geringer,Normalizing MAEs for comparison ,"I have been mostly training with loss and non-loss rows together. In an attempt to improve my score I added a switch TRAIN_LOSS_ONLY and filtered out those rows with loss=0. MAEs including good loans was about 0.43 , MAEs with only losses was around 4.6. How to compare to CV or LB? Here is some python code I wrote today to normalize MAEs for comparison: if TRAIN_LOSS_ONLY == 1: zerocount = numTestRowsBefore - numTestRows # On CV/OOB train set padding = np.asarray([0.0] * zerocount) mae = mean_absolute_error(np.append(y_true,padding), np.append(y_pred,padding)) print ""Normalized MAE %10f"" % mae It just adds a bunch of zeroes to the y_test and y_pred so MAE calculation includes the padding and mae comes out similar (e.g. 0.43) Enjoy !",0,None,2,Thu Mar 13 2014 22:34:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7388,/competitions/loan-default-prediction,34th
/thakurrajanand,Can someone share their CV F1-Score ?,Mine is 0.945,2,None,7,Thu Mar 13 2014 22:59:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7389,/competitions/loan-default-prediction,17th
/reggiecarey,External List of States,"Greetings, I wanted to know if it would be considered a violation of the competition rules to incorporate a full list of U.S. States & Territories. I note that the training data does not have a complete set of states and it is unknown if the test or competition set contains values outside of the training set. Thanks, Reggie",0,None,10,Fri Mar 14 2014 02:37:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7391,/competitions/allstate-purchase-prediction-challenge,None
/brianmanson,Languages?,What languages are you guys using? I'm using R and i know some of you are using Python. I tried to use E.W.M.A. in R and lets just say it didn't work the way i wanted. Thanks Guys,0,None,1,Fri Mar 14 2014 03:53:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7392,/competitions/pakdd-cup-2014,195th
/manglam,How to use external features?,"Hi, I have two questions. 1st, I am new to time series. I am familiar with ARIMA( haven't used it in a real life problem). But I don't know how to use external factors. I use arima package in R for time series. 2nd, There are 45 stores and 98/99 departments. So do we need to make that many time series models i.e. 45 X 99 models? Regards, Manglam",1,bronze,1,Fri Mar 14 2014 06:40:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7394,/competitions/walmart-recruiting-store-sales-forecasting,None
/davutpolat,Regression Approaches,"For those are interested, i converted loss value, here is my approach: i add 250 (can be tuned) zero loss instance to non-zero loss set. loss = log2(2+2.5*loss) , (2 is for zero loss value) , this turn imbalanced loss distribution into a normal dist. Then i used converted loss values for my model, after prediction i convert results into original form ((power(2,result)-2)/2.5). i had MAE value 3.7 but as you know, test data is noisy and my classification model was not so good so i couldnt achieve good score. i hope this approach will help somebody Regards, [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/40336/1110/Untitled.png",1,None,9,Fri Mar 14 2014 16:53:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7396,/competitions/loan-default-prediction,178th
/wangkan2001,"How could I remove wrong submission from ""My submission""?","Hey, All, It is my first time to take part in Kaggle! I submit two files with formatting problems! How could I remove them from my submission so that I can submit correct one?",0,None,1,Fri Mar 14 2014 19:07:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7397,/competitions/allstate-purchase-prediction-challenge,None
/tripletdad,Oh well.,My Goal was to finish in top 10% in my first official kaggle competition. Finished 68/677. Just missed it. Technically finished at top 10.004% Congrats to everyone. This was an interesting challenge. FR,0,None,2,Sat Mar 15 2014 01:26:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7399,/competitions/loan-default-prediction,68th
/ydhiman,Data transformation Vs Choosing an Algorithm  ?,I generally get confuse in finalizing a way I should choose for a task i.e. a prediction algorithm vs the data transformation. e.g. should i transform data i.e. cast my data for each store and department and go for some linear algorithm or just use my data without any transformation and find any algorithm I can possibly use. This is a big question that is holding me back for so long in talking a confident approach. Can some one give a big picture on this & Is the way I am thinking making sense or not ? :),0,None,1,Sat Mar 15 2014 07:21:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7400,/competitions/walmart-recruiting-store-sales-forecasting,None
/antonis1,Best tool - choice of programming language for the task,"What would you suggest as the best choice of programming language for solving that problem? R, python, matlab, c++ using openCV? Thanks Antonis",0,None,1,Sat Mar 15 2014 08:55:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7401,/competitions/facial-keypoints-detection,None
/kozlod,Wolfram programming language,What do you think about Wolfram programming language? Will it make revolution in Data Science?,3,bronze,5,Sat Mar 15 2014 09:14:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7402,None,None
/soates,Feature Selection,"Congratulations to those who placed well, and a big thank you to those who provided information or answered questions on the message boards during the competition. I was just wondering if any well placed finishers could share how they selected the features that went into their final models? It seemed like selecting features was the main challenge in this competition. As a beginner I sought to select based on correlation with loss, pca and some feed back from algorithms. However as my team did not do very well I would be most interested to hear of the approaches of higher ranked teams? Finally a thanks to Kaggle and Imperial College London for providing the competition data and infrastructure.",2,None,5,Sat Mar 15 2014 15:26:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7403,/competitions/loan-default-prediction,563rd
/ryancarey0,Missing data?,"Hey guys, Does anyone know, if there is a month(s) missing for a given component/module combination in the training series, does that indicate there were 0 repairs in that month, or that there may have been repairs that month, but the dataset is just not complete? i.e. for module/component M1/P02: there is a number_repair=1 for july-2008, and number_repair=3 for september-2008, but no row of data included for month august-2008, so should it be assumed that there was 0 repairs in august-2008 for M1/P02, or that the number of repairs in august-2008 is simply unknown for M1/P02 due to missing data? Thanks! -Ryan",0,None,3,Sat Mar 15 2014 22:07:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7404,/competitions/pakdd-cup-2014,302nd
/parag1,working in team,Is it ok to work in a team if we don't want to be considered for job interview? Thanks,0,None,1,Sun Mar 16 2014 03:18:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7406,/competitions/walmart-recruiting-store-sales-forecasting,None
/goldman88,automation code for dynamic regression with arima,"Dear all, I want to make algorithm for dynamic regression with arima in R...kindly help me out....attached file is expenditure of advertisement to optimize sales and steps to make automation code. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/40450/1115/exp.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/40450/1116/Timeseries pseudocode.docx",0,None,2,Sun Mar 16 2014 10:30:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7409,None,None
/antonis1,Best Methods in literature for Facial Keypoints Detection,Can you tell me some of the best methods in literature for Facial Keypoints Detection?,2,None,3,Sun Mar 16 2014 10:35:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7410,/competitions/facial-keypoints-detection,None
/tejinder0,Can I use Octave?,I am not able to figure out if I can use Octave for this competition. Please help me in this regard,0,None,7,Sun Mar 16 2014 16:19:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7412,/competitions/allstate-purchase-prediction-challenge,None
/yohokuno,Rules for external knowledge/data/tools,"Hi, As this is a NLP task and the data is written in general English, I wonder if we can use linguistic knowledge/data/tools other than machine learning techniques for the competition. Well, the rule says we can not use test set to train the model and hand labeling is forbidden, but it does not clarify what is considered to be hand labeling. For example, I'm interested in which of following are allowed. Dictionary Stop word list Positive/negative word list Corpus Unlabeled corpus Labeled corpus Tools (parser, part-of-speech tagger, named entity recognizer etc) Rule-based tools Dictionary-based tools Model-based tools (trained on other data) Stop word list is already suggested in other thread, so may be worth to discuss in this topic.",1,None,1,Sun Mar 16 2014 22:28:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7415,/competitions/sentiment-analysis-on-movie-reviews,None
/wbtthefrog,Error in post-deadline leaderboard scoring,"Hi Kaggle team, When submitting an entry to a contest after the deadline, the interface shows the score going to zero error or the top of the leaderboard, when the actual score for that submission is not even close. At least I can see the real score when visiting the My Submissions page. You might want to fix the bug on the immediate-post-upload Leaderboard page, though, for those who do submit post-deadline just to see what we would've scored. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/40485/1119/Top of leaderboard.PNG",0,None,2,Mon Mar 17 2014 03:02:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7416,None,None
/user1133103411,这条神一般的线真的能过么。。。,TT......,0,None,1,Mon Mar 17 2014 08:47:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7417,/competitions/linearregression-dm2014-ss-sysu2,25th
/timmorgan,Correct Predictions,"Just curious, what would you consider a good percentage of winners correctly predicted? Right now I seem to be around 70% accuracy on picking a winner, not sure if that is ""good"", ""average"", or ""not so good""...",0,None,2,Mon Mar 17 2014 21:15:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7424,/competitions/march-machine-learning-mania-2014,67th
/matthew3,Assorted R questions,"Using R, I am having a bit of a hard time getting around formatting. Wonder if anyone had any hints for these two issues: 1) Saving multiple models into a hash/ vector. I am making a model for A ... G. I'd prefer to have them iterated over by a for loop instead of copy and pasting out that code 8 times. Can't seem to put the model into a hash table and get the model out successfully. Tried something like h <- hash() h['A']<- rf predict(h['A'],data) But it fails. Any ideas? 2) Combining the 8 columns into a single column. Haven't found the right trick. Paste() always gives quotes around the values after I cast them from a factor to a character. Any hints?",0,None,2,Tue Mar 18 2014 06:06:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7428,/competitions/allstate-purchase-prediction-challenge,492nd
/arshad,getting one row per customer,"Hi, I am a bit confused on how to get 1 row per customer. The only way I could think of is to add another 2300 variables to cover all the insurance options for a customer. Any guidance in this regard would be highly appreciated.",0,None,5,Tue Mar 18 2014 06:21:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7429,/competitions/allstate-purchase-prediction-challenge,928th
/sytelus1,Snapshot of Stage 1 Leaderboard,I've few algo tweaks and I'm curious to see how this would have compared with other Stage 1 attempts. This seem to be most reasonable way to some comparative algo checks at the moment... I can calculate log loss locally so only thing I need is snapshot of Stage 1 leaderboard with log loss. Does anyone have this saved by any chance?,1,bronze,1,Tue Mar 18 2014 06:48:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7430,/competitions/march-machine-learning-mania-2014,99th
/sushilraje,Baseline comparison for the classifier,"Hi, What are some metrics we should be comparing our results with to determine accuracy of our classifier? In other words, is there a good baseline measure that could be used to compare the performance. Our initial thought is to use a naive Baye's approach and then try to improve on the performance of the NB classifier. Thanks.",0,None,1,Tue Mar 18 2014 16:55:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7433,/competitions/sentiment-analysis-on-movie-reviews,None
/iguyon,ECML workshop (sept 2014),"[Link]:https://sites.google.com/a/chalearn.org/connectomics/workshop?pli=1 [Link]:https://sites.google.com/a/chalearn.org/connectomics/workshop?pli=1 [Link]:https://sites.google.com/a/chalearn.org/connectomics/workshop?pli=1 DescriptionUnderstanding the brain structure and some of its alterations caused by disease, is key to accompany research on the treatment of epilepsy and Alzheimer’s disease and other neuropathologies, as well as gaining understanding of the general functioning of the brain and its learning capabilities. At the neural level, recovering the exact wiring of the brain (connectome) including nearly 100 billion neurons, having on average 7000 synaptic connections to other neurons, is a daunting task. The goal of this workshop is to bring together researchers in machine learning and neuroscience to discuss progress and remaining challenges in this exciting and rapidly evolving field. We aim to attract machine learning and computer vision specialists interested in learning about a new problem, as well as computational neuroscientists who may be interested in modeling connectivity data. We will discuss also the results of the First ChaLearn Neural Connectomics Challenge. [Link]:https://docs.google.com/a/chalearn.org/viewer?a=v&pid=sites&srcid=Y2hhbGVhcm4ub3JnfGNvbm5lY3RvbWljc3xneDpiOWVlNTE3N2I4ODc1Y2E Invited speakers:• Elisha Moses, Weizmann Institute of Science, Israel: Keynote on ""state of the art in neuro-imaging"".• Florin Popescu, Fraunhofer Institute, Berlin, Germany: Keynote on ""causal discovery in time series"" .• Jordi Soriano, University of Barcelona, Spain: Tutorial on ""Neuroscience and algorithm"". Topics of interest to the workshop include, but are not limited to:• building connectomes from EM data• building connectomes from fMRI data• building connectomes from neurophysiology data• bridging neuroanatomy and neurophysiology• connectomics and learning• neuroimaging technology advances• network reconstruction algorithms• causality in time series • feature selection vs. causal discovery• generative vs. discriminative modeling• sharing data• sharing code• organizing new challenges• establishing ground truth, benchmarking• quantitative metrics of evaluation• theoretical understandingImportant - Submission Guidelines:We encourage contributions in any of these areas. We welcome 2-page short-form submissions and 6-page long-form submissions. We also encourage submissions of previously-published material that is closely related to the workshop topic (for presentation only). Everybody can attend the workshop even if he does not participate in the challenge. Challenge participants are encouraged to contribute a paper on their results and also submit papers for presentation on the topics of the workshop.Submissions should be formatted using JMLR Workshop and Proceedings format.The papers should be submitted via Easy Chair. [Link]:https://sites.google.com/a/chalearn.org/connectomics/workshop?pli=1 [Link]:https://docs.google.com/a/chalearn.org/viewer?a=v&pid=sites&srcid=Y2hhbGVhcm4ub3JnfGNvbm5lY3RvbWljc3xneDpiOWVlNTE3N2I4ODc1Y2E Organizers - Contact:• Vincent Lemaire, Orange, France• Demian Battaglia, Aix Marseille Université, France • Isabelle Guyon, ChaLearn, California, USA• Jordi Soriano, University of Barcelona, Spain Organizing committee (confirmed):• Javier M. Buldú (URJC, Madrid, Spain)• Mario Chavez (UPMC, France)• Frederick Eberhardt (Caltech, Los Angeles, USA) • Sergio Gomez (URV, Tarragona, Spain)• Alice Guyon (UPMC, Sophia Antipolis, France)• Antti Hyttinen (University of Helsinki, Finland) • Sisi Ma (NYU, New-York, USA)• Adam Packer (UCL, London, UK)• Jonas Peters (ETH Zuerich, Swtzerland) • Florin Popescu (Fraunhofer Institute, Berlin, Germany)• Bisaka Ray (NYU, New-York, USA)• Alex Roxin (FCBR, Barcelona, Spain)• Mehreen Saeed (Lahore Univ., Pakistan)• Alexander Statnikov (New York University, USA)• Miguel Valencia (Univ. De Navarra, Spain)• Joshua Vogelstein (Duke Univ, North Carolina, USA)• Gorka Zamora (BCCN, Berlin, Germany)• Kun Zhang (Max Plank Institute for Intelligent Systems, Germany)",0,None,1,Tue Mar 18 2014 18:58:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7434,/competitions/connectomics,105th
/sriharij,Can this data be used for scholarly publication post competition,"Hi, Can this data be used in a scholarly publication in a journal that uses a novel data mining algorithm and of course this request is after completion of the competition ? I would appreciate your response.",6,bronze,7,Tue Mar 18 2014 20:00:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7435,/competitions/walmart-recruiting-store-sales-forecasting,2nd
/matthew3,Data Truncation,"""In the test set, you have only a partial history of the quotes and do not have the purchased coverage options. These are truncated to certain lengths to simulate making predictions with less history (higher uncertainty) or more history (lower uncertainty)."" If we do not know how the data was truncated, it becomes much harder to simulate it. Is there any guidance for how this was done?",0,None,24,Tue Mar 18 2014 22:28:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7438,/competitions/allstate-purchase-prediction-challenge,492nd
/developerx,The First Four - Tonight,"As I'm sure contest participants are aware, the NCAA Tournament ""First Four"" round starts tonight (U.S. time). Would I be correct in assuming that since two games will be complete and a significant portion of a third will have been played by the time contest entries are due, that First Four results will not be counted in the contest score? This point wasn't clear to me from reading the rules. Even if the first four results will not be counted, it would seem that watching the games (especially the Xavier-NC State game) might present an advantage. For example, if a star player on the winning team got injured, it would likely ruin any chance for that team to score a first round upset.",0,None,1,Tue Mar 18 2014 23:36:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7442,/competitions/march-machine-learning-mania-2014,74th
/srt19170,First Four Predictions,Just for fun: Albany vs. Mt. St. Mary's: Albany by 1.5 NC State vs. Xavier: Xavier by 4 Cal Poly vs. Texas Southern: Cal Poly by 2.5 Iowa vs. Tennessee: Iowa by 2.5,1,bronze,5,Wed Mar 19 2014 00:30:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7443,/competitions/march-machine-learning-mania-2014,60th
/shuga1,"Sequential Pattern Mining, Predictive Analytics, Data Mining, Anomaly Detection.",Hello reader. Great resource site kaggle is i must say. I have been poring over the posts and forums and I keep getting excited by the second. I have a scenario i want to explore using sequential pattern mining and predictive analytic. I am currently compiling the data from Microsoft word into excel. What i want to achieve is simple. Predicting the outcome of future events based on the occurrences of similar events in the past. I have past and future datasets i would like to tweak and work on and I would like to make this available as a download link for scientists to view and make their respective contributions. Will update as soon as I am done.,0,None,1,Wed Mar 19 2014 11:25:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7447,None,None
/jarolfsen,Number of submissions > 2 ?,"Hi Jeff and Will, I understand the intent of the competition is for each contestant or team to be allotted 2 entries for Stage 2. Thus I have only submitted 2 entries. However, I see that we can submit more than two. (and some people have) My confusion arises from the following statement made in the ""my submissions"" tab: ""Note: You can select up to 2 submissions to be used to calculate your final leaderboard score. If 2 submissions are not selected, they will be chosen based on your best submission scores on the public leaderboard."" By this logic, would it not be most strategic for a contestant to submit 20 entries and ""select"" none of them? This way the best of the 20 entries is automatically ""selected."" I do not think this is your intent. So the key question is what happens when a contestant selects none? Is there a automatic selection process that occurs; giving benefit to those with more submissions? Or are those who fail to ""select"" two submissions opting themselves out of the competition as a whole. I did not see this question asked previously, and I did not see any clarification in the rules. Finally, the following ""Rules"" statement only adds to the intrigue: ""Submission Limits You can submit a maximum of 1000000 entries per day. You can select up to 2 final submissions for judging."" Am I missing something? Thanks.",0,None,6,Wed Mar 19 2014 11:35:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7448,/competitions/march-machine-learning-mania-2014,36th
/aikinogard,The meaning of block,"Hello, I just start to do this project. Here is a naive question: In ""network"" files, connections with weight -1 are ""blocked"" in simulation. Is it equivalent to connections with weight 0 when we test the AUC score? Thanks, Li",0,None,1,Wed Mar 19 2014 14:46:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7449,/competitions/connectomics,62nd
/darshanhegde,phrase generation mechanism,"The phrases are clearly generated by selecting a sub-tree of full parse tree of sentence. But can't clearly say, how these phrases are extracted. Does anyone know ? I tried to parse these phrases one by one, but it takes too long. I have parsed sentences, now stuck with the problem of finding the parse tree for these sub-phrases.",1,None,1,Wed Mar 19 2014 15:24:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7450,/competitions/sentiment-analysis-on-movie-reviews,547th
/ecodan,AUCs anyone?,"I know the contest isn't scored on ROC AUC but I'm using it as a quick comparative metric while evaluating algorithms (as well as other classification measures like confusion matrices). Depending on the algorithm and feature selection I'm seeing scores in the high .7's and low .8s. I'm actually a little surprised to see numbers that high but they hold up under cross-validation. On the other hand maybe others are running in the .9's and I'm way off the mark. Anyway, just curious. 24 hours left! Best of luck to all.",0,None,2,Wed Mar 19 2014 18:29:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7452,/competitions/march-machine-learning-mania-2014,92nd
/ecodan,AUCs anyone?,"I know the contest isn't scored on ROC AUC but I'm using it as a quick comparative metric while evaluating algorithms (as well as other classification measures like confusion matrices). Depending on the algorithm and feature selection I'm seeing scores in the high .7's and low .8s. I'm actually a little surprised to see numbers that high but they hold up under cross-validation. On the other hand maybe others are running in the .9's and I'm way off the mark. Anyway, just curious. 24 hours left! Best of luck to all.",0,None,5,Wed Mar 19 2014 18:29:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7453,/competitions/march-machine-learning-mania-2014,92nd
/frederocks,Number of teams,I myself find it suspect that the number of teams for this competition has quadrupled over the week leading up to the deadline. I think the organizers should be mindful of this when it comes to awarding the prize.,0,None,1,Wed Mar 19 2014 23:50:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7458,/competitions/march-machine-learning-mania-2014,4th
/manglam,standard book for time series,"Hi, I have no formal background in statistics. Though I am familiar with linear and logistic regression. I know Hypothesis formulation and testing e.g. t-test,chi-sq test, Anova. These were easier to understand for me. But time series on the other hand is pretty difficult. It is just that I have no grasp over the basics of it that I feel very vulnerable, whenever I want to apply it and interpret the results. That's why I have decided to go through a good book for time series. My main requirement from the book is that it should give intuitive explanation, not very cumbersome mathematical proof. Can any of you suggest such book on time series? Warm Regards Manglam",0,None,3,Thu Mar 20 2014 04:56:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7464,None,None
/bistassawas,Interactive bracket visual and Gaussian Processes,"Hi all, Here's an (interactive) statistical forecast for this year's tournament: http://statisfyme.co/2014tourney.html I used a Gaussian process model. A short description to come on the site soon so stay tuned. Surge",0,None,4,Thu Mar 20 2014 06:48:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7466,/competitions/march-machine-learning-mania-2014,None
/nilotpal,Request to Admins: Missed final selection for scoring,"Dear Admins, I had made 2 submissions a few hours before the deadline. But the next morning when I woke up, I saw an email form the admin asking me to select my submission for scoring. Only then I realized that the submission should be selected (clicked in check box). Since a person can have a maximum of 2 selections for final scoring, I was under the impression that the 2 submission of mine will be scored. I thought only if you made 3 or more submissions, you nee to select 2 for final scoring. I admit that this was a mistake on my part. However having spent the last few months on the March Mania problem, it is a shame that my submission will not be scored. I think there would be other participants like me who might have missed selecting the submission. In order to help our cause without breaking the rules of the competition, I kindly request the admins to: ""If the participant has made only 2 or only 1 submissions, the submissions can be score because as per the rules, a maximum of two selection is allowed per person."" I believe that this will be fair because in this case, the participant was intending to submit more than 2 submissions anyways. Only if the participant made more tan 2 submission, he/she would have to select this best 2 for final scoring. Regards, Nilos",0,None,1,Thu Mar 20 2014 06:54:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7467,/competitions/march-machine-learning-mania-2014,132nd
/orukusaki,Time gap between quotes/purchases,"If you look at the date-time gap between different quotes for the same customer number, for record_type=0 (i.e. any quote other than the actual purchase), there is never more than 1 day between the first and last quote. Does anyone else find this strange? I know I’ve looked at car insurance quotes before, then come back the next day and not necessarily purchased the next time I get a quote. The time between first quote and purchase for many are more than a day, but never for non-purchases – unless I’m screwing something up. Any thoughts? Just an example in case I'm not clear; customer 10000014 has first quote Friday Day4 @ 16:30, then last non-purchase quote Friday Day4 @ 16:43, then makes the purchase (presumably) the following Tuesday Day1 @ 17:50. Excluding purchases, there are no examples where last quote - first quote is more than 1 day apart.",0,None,3,Thu Mar 20 2014 10:31:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7470,/competitions/allstate-purchase-prediction-challenge,1127th
/georgem,Groups and ages,"There is a number of records that have : abs(age_oldest - age_youngest)>0 and group_size==1 I believe that positive difference in ages means at least 2 persons involved, but the group size is 1. I wonder if the age_oldest and age_youngest are numbers of real persons involved or 2 numbers where any person(s) age are in between. Any ideas can help",0,None,2,Thu Mar 20 2014 11:51:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7471,/competitions/allstate-purchase-prediction-challenge,1149th
/albamer,Late entrant data?,"Is there any way I can get a copy of the data to play around with it for fun/next year? I compiled 39 years of some stats by myself for my own model, but having a more complete dataset would be beneficial to fill gaps.",0,None,1,Thu Mar 20 2014 13:55:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7472,/competitions/march-machine-learning-mania-2014,None
/kozlod,Julia ,"Does anybody use Julia in Kaggle contests or in main job?Is it powerful enough, to use it in real projects?",0,None,1,Thu Mar 20 2014 15:35:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7473,None,None
/abutaha99,Tools and Programming languages to use,"Hi .. i am new at kaggle i am in my way to join competition soon, my question : for developing Competition solutions i am free to use any Programming langauge (ex java) or there are recommended tools to use and what are they ?!!! thank you .. Ahmad A. Taha.",0,None,3,Thu Mar 20 2014 16:02:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7474,None,None
/aoshea,Leaderboard update times,Will the leaderboard/scoring be updated after each round or not until the end of the tournament?,1,bronze,3,Thu Mar 20 2014 20:03:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7476,/competitions/march-machine-learning-mania-2014,189th
/song3174060,What does NA of risk_factor mean?,"If the value of risk_factor is NA, does it mean that the risk_factor is unknown or does it mean that the risk_factor is less than 1( the least risky)?",0,None,5,Thu Mar 20 2014 23:30:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7478,/competitions/allstate-purchase-prediction-challenge,662nd
/vincentrong,偷懒试验中,第一次迭代1000次，14点多。。等待第二天╮(╯Д╰)╭,0,None,2,Fri Mar 21 2014 06:26:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7481,/competitions/linearregression-dm2014-ss-sysu2,101st
/siongmin,Shopping points,What does shopping points? I observed there are records for an Id that have exactly the same attributes but just having different timings. The timings are just different by one minute. Does every shopping point refers to the customer asking for a quotation? Or is there anything that i've missed out?,0,None,2,Fri Mar 21 2014 15:45:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7483,/competitions/allstate-purchase-prediction-challenge,None
/dremovd,"Разбиение на train, test public и test private","Здравствуйте Хотел бы уточнить. Каким образом выборки разбивались на эти подмножества train, test public и test private? Верно ли, что алгоритм просто разбивает множества на случайные подвыборки заданного размера? Или этот алгоритм пытается сохранить пропорцию классов? Или выборки взяты извне и не смешивались, т.е. train и test вообще говоря могут иметь немного разное распределение? Мне кажется, что эта информация могла бы быть полезна всем.",0,None,6,Fri Mar 21 2014 15:59:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7485,/competitions/competition-2-yandex-shad-mipt-fivt-ml-spring-2014,35th
/goldman88,crawler!,"Dear all, I want to extract tweets from crawler and wan to perform sentiment analysis.So how can i do that? Best, Anup",0,None,5,Fri Mar 21 2014 17:45:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7486,None,None
/sathishnatarajan,Will you give results the results of test data?,"Hi Admin, Since the competitions is over now, as new user to crowd sourced competitions i would like to make request to publish the actual results of the test data. So that I can investigate my model's performance and what is going on inside. Regards, Sathish",1,None,1,Sat Mar 22 2014 09:42:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7490,/competitions/loan-default-prediction,None
/wcukierski,Second Round Predictions,[Link]:https://storage.googleapis.com/kaggle-competitions/kaggle/3333/media/kaggle_round_of_32.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/40829/1138/kaggle_round_of_32.pdf,3,bronze,11,Sat Mar 22 2014 15:31:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7491,/competitions/march-machine-learning-mania-2014,None
/goldman88,twitter API in R,"Dear all, I know with the help of twitter api in R..it only fetches 1500 tweets at a moment...however it fetches 1000 tweets...sometimes it fetches 200 tweets with the same # tags...i dont know why this is happening. Kindly please help me out. here is the code ############################################## Chunk - 1 - Authenticate with twitter API############################################# library(twitteR)library(ROAuth)library(plyr)library(stringr)library(ggplot2) ## Windows users need to get this filedownload.file(url=""http://curl.haxx.se/ca/cacert.pem"", destfile=""cacert.pem"") requestURL <- ""https://api.twitter.com/oauth/request_token""accessURL = ""https://api.twitter.com/oauth/access_token""authURL = ""https://api.twitter.com/oauth/authorize""consumerKey = ""secret""consumerSecret = ""secret""Cred <- OAuthFactory$new(consumerKey=consumerKey, consumerSecret=consumerSecret, requestURL=requestURL, accessURL=accessURL, authURL=authURL)Cred$handshake(cainfo = system.file(""CurlSSL"", ""cacert.pem"", package = ""RCurl"") ) registerTwitterOAuth(Cred)save(Cred, file=""twitter authentication.Rdata"") ########################################################### # Chunk - 2 - Twitter Scrape #Rangers #Athletics #MLB ############################################################ Rangers.list <- searchTwitter('#Rangers', n=1000, cainfo=""cacert.pem"") Rangers.df = twListToDF(Rangers.list) write.csv(Rangers.df, file='C:/temp/RangersTweets.csv', row.names=F)",1,None,2,Sat Mar 22 2014 17:36:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7492,None,None
/chenglongchen,Anyone using CNN?,"Hi all, I have been studying DL the past few months. I entered this comp to practice some of the ideas. I implemented a CNN using theano for this comp. About 90% randomly sampled images from the whole image set are used for training and the rest as a validation set. The best RMSE I got on the validation set is around 0.11, which gives my current LB score. Has anyone else been using CNN? What is your validation set RMSE if you feel like sharing? I wonder if I can push 0.11 down to 0.10 or even 0.09 using CNN... Yr",1,None,7,Sat Mar 22 2014 18:34:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7493,/competitions/galaxy-zoo-the-galaxy-challenge,58th
/sarathsunil,Car value- what does the alphabets signify?,"Hello, I am just wondering how car_value can take an alphabet value? In the data description it is given to be the value of the car when it was new. By this logic it should be a numeric value, instead we find alphabets in that column. What do the alphabets signify?? Can anyone help me...",0,None,1,Sat Mar 22 2014 19:35:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7495,/competitions/allstate-purchase-prediction-challenge,None
/kltah101724,Details on Inmarsat analysis of MH370 data?,"I'm not sure if this is off topic since this has nothing to do directly with kaggle, but I thought it might be interesting to investigate the data analysis behind the Inmarsat analysis of MH370 pings. As expected, the news outlets are very sparse on details. Any experts here have a clue as to what sort of analysis went in to the pings? I know it has to do with Doppler shift but I want to know what made it so challenging why (if it was at all) it was so groundbreaking? Any ideas?",0,None,1,Tue Mar 25 2014 16:40:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7511,None,None
/bbcat176360,Clarification on number of categories,"Hi, The description says to classify the documents into ""one of 325,056 categories"". I do count in the hierarchy.txt 478020 unique identifiers. Indeed, the training set contains examples labeled within the 325056 categories, yet if you start ""rolling-up"" examples into parent categories, one can get data and train over 400K models. Are you evaluating performance only on the 325056 categories or on all 478K categories? Thanks",0,None,1,Tue Mar 25 2014 22:38:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7516,/competitions/lshtc,None
/artemis,Neuron location and connection probability,"Hi all, I have a question for the other participants as well as possibly the competition organizers. In the extended description of the datasets (https://sites.google.com/a/chalearn.org/connectomics/help/data), the organizers say that, in modeling neuronal connectivity, they use ""topological models: connectivity models taking into account neuron proximity and enforcing a realistic degree of node clustering"". However, based on some preliminary investigation, I've been unable to find a relation between the probability of connection between two neurons and their spatial proximity (naively, one would expect nearby neurons to be more likely to be connected). Has anyone found a similar lack of relationship? Thanks! -a",0,None,5,Wed Mar 26 2014 01:09:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7518,/competitions/connectomics,None
/hernanbruno,Will the test data be released?,Will we get access to the sales information in the test data once the competition ends?,0,None,2,Wed Mar 26 2014 10:15:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7519,/competitions/walmart-recruiting-store-sales-forecasting,446th
/adrien6,Test data survival result?,"Hi everyone. My understanding of a supervised machine learning task is that the user should try to train a learning algorithm using the training data and test the model's performance using the test data. But without the survival variable for the test data, how can I check the performance? Did I miss something? Thanks.",0,None,2,Wed Mar 26 2014 12:49:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7520,/competitions/titanic,None
/tugrulhanates,car_age values,"There are many customer records with greater car_age values (there is even one customer with car_age of 85). Do you think they are outliers or really old cars (i.e. classic cars) ? What is the original entry point for this info on the actual purchase form? Is it a free text field or a drop-down menu with pre-defined values? Thanks, Tugrul",0,None,4,Wed Mar 26 2014 12:49:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7521,/competitions/allstate-purchase-prediction-challenge,None
/dasgupta,Completed Competitions towards Ranking,"Hi, I am new to Kaggle and have recently started participating in the competitions. At a given time there do not seem to be that many ""active"" competitions. Many of those that have completed are quite interesting and surely worth attempting. Although I am participating out of interest and in a way to assess my learning through the competitions as a side-effect it also helps in building points that I believe could be helpful towards demonstrating credibility in the field. I was curious to know if participating in them helps in building points and/or the ranking. Thanks in advance, - Raj.",0,None,1,Wed Mar 26 2014 14:42:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7522,None,None
/bennewton1,ASDI Data,"Can anyone point me to where I might obtain permission to use the ASDI data from this competition for a separate research project, or where I might obtain ASDI data for use in research? Thanks, Ben Newton",0,None,1,Wed Mar 26 2014 16:24:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7523,/competitions/flight2-final,None
/miningtitans,Solution,"Hey guys, it would be great if you could upload the final solution. I did this competition for my own and now I would like to see the optimal solution in comparison to my one. Thanks in advance!",1,None,58,Wed Mar 26 2014 17:08:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7524,/competitions/DontGetKicked,None
/gilinson,Any cool Data Visualizations?,Whipped this one up from KenPom data. It gives you an idea of how important the Offensive and Defensive efficiency metrics are to him: [Link]:http://www.reefpointgroup.com/visualizing-kenpom/ And you may have seen this one on 538 for the bracket: [Link]:http://fivethirtyeight.com/interactives/march-madness-predictions/ Anyone else do anything to get a handle on the datasets?,0,None,1,Wed Mar 26 2014 18:08:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7525,/competitions/march-machine-learning-mania-2014,None
/otdewiljes,Another Question About Neurons,"From another topic: Sagredo wroteI would like to add a further clarification. Salviati told: ""The firing of a presynaptic neuron is expected to affect the probability of firing of its postsynaptic neurons. If the presynaptic neuron is excitatory, the postsynaptic probability of firing will rise."" This is certainly true! But our simulations are not probabilistic, are real dynamical systems simulations. At every time-step we integrate a system of hundredths of non-linear differential equations, it is not just tossing a dice per neuron to decide whether it will fire or not. We have a full-fledged biophysically realistic simulation behind our simulated data. That said, at the phenomenological level, Salviati's comment is true: the post-synaptic probability of firing indeed will rise, if a pre-synaptic neuron fires… But, the amount of which it will rise is changing, depending as well on what all the other pre-synaptic neurons are doing. I am insufficiently cognizant of the neurophysiology of the zebrafish to gauge what sort of neuron model would be appropriate. This is a design decision you must have faced as well, so I might as well ask. What sort of neuron model do you use? Hodgkin-Huxley? Izhikevich? Integrate-and-fire? Something else? With which parameters? Inquiring minds want to know :). If you are unwilling to share that information, can you at least tell us which types of neuronal behaviour we can expect? Nicked from Izhikevich' site: Which of these behaviours can we expect? Kind regards,",0,None,2,Wed Mar 26 2014 22:01:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7526,/competitions/connectomics,116th
/tothink,Dimensional strength models?,"One idea that I've been tinkering around in this competition: Elo, Glicko, Chessmetrics and the like are optimized to rate opponents on a global scale. Pardon me if my math speech is somewhat incorrect, but roughly speaking we have an over-determined system with an initial dimensionality being the number of teams, maybe, to be boiled down to one dimension in some least squares sauce. For the ranking systems we are of course interested in exactly one dimension, and for generalization and predictive power we certainly need to reduce the number of dimensions, but perhaps not all the way down to one. Perhaps a model with 2 or 3 dimensions would have more predictive power. I tried a coupe of matrix factorization type models for this data, but they didn't add any predictive power. Perhaps this data is just a little too sparse to spread out over 2 dimensions? Anybody had any luck with models like this - or know about any research in this direction?",0,None,1,Thu Mar 27 2014 16:47:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7531,/competitions/march-machine-learning-mania-2014,57th
/sriharij,"what does ""* in the money"" mean","Hello, I'm new to Kaggle, Can someone please let me know what ""* in the money"" means, and when would we see them in a leaderboard ? Thanks & Regards",1,None,2,Fri Mar 28 2014 03:33:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7533,/competitions/walmart-recruiting-store-sales-forecasting,2nd
/zeynepkarakaynak,usage of data for acedemic purpose,"Is it possible that using this data for academic purpose (for thesis project) is available? If not, is there any chance to obtain permission using it? Thanks",0,None,4,Fri Mar 28 2014 08:50:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7536,/competitions/stumbleupon,None
/lnicalo,AUC in training?,"I am having some issues running the sample codeCould anyone tell me what AUC is obtained with crossCorrelation, GTE, etc on normal-1 network (file: fluorescence_normal1-1.txt) to check my results?I am currently getting AUC = 0.57 with crossCorrelation and discretization, which is not very promising...",0,None,1,Fri Mar 28 2014 14:46:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7537,/competitions/connectomics,16th
/saikumarallaka,"Job Description, minimum and preferred qualifications??",When will we get to know about them?,0,None,8,Fri Mar 28 2014 19:08:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7539,/competitions/walmart-recruiting-store-sales-forecasting,48th
/ronaldinho0,Unable to download Data files please share file with me!!,We lost our data files due to formatting of PC.. Website doesn't allow download of data files as submission date is very near..could anyone please send the data files to the email id below. thanks in advance :) Emailid: ronaldinho495@gmail.com,0,None,1,Fri Mar 28 2014 20:46:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7541,/competitions/pakdd-cup-2014,None
/jonathansimon,Allowed to use holiday-specific date information?,"I know that we're not allowed to use outside information in this competition, however I'm not sure whether that extends to the arguably common-knowledge information of when specific holidays occur. For example, would I be allowed to add a parameter to my regressor containing a dummy variable indicating the weeks on which Easter occurs, even though no information about Easter is included in the data?Thanks!",0,None,1,Sat Mar 29 2014 00:30:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7542,/competitions/walmart-recruiting-store-sales-forecasting,88th
/jeffsonas,Would you compete again?,"While we still have everyone glued to their forums for a couple more days at least, let me ask you - if we did this again next year, would you participate again? Would you want to see something different about the competition?",2,bronze,20,Sat Mar 29 2014 00:32:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7543,/competitions/march-machine-learning-mania-2014,61st
/wcukierski,Elite Eight Predictions,[Link]:https://storage.googleapis.com/kaggle-competitions/kaggle/3333/media/kaggle_elite_8.png,0,None,1,Sat Mar 29 2014 05:50:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7545,/competitions/march-machine-learning-mania-2014,None
/rouseguy,Deep Learning tutorial?,Folks - Could you suggest how to go about learning and implementing deep learning? A good example on how it is implemented along with code would be deeply appreciated. I have Theano installed. But that's about it. Am stuck on how to implement using it. Thanks.,0,None,1,Sat Mar 29 2014 15:49:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7547,/competitions/galaxy-zoo-the-galaxy-challenge,None
/zachtrexler,Entry transparency,"First off -- great contest! This has been a lot of fun to follow along with since the tournament started. I was curious as to why the entries aren't made public. While I'm not in any way accusing anyone at Kaggle of modifying anyone's entry after the fact, it just seems more responsible for Kaggle to publish the entries after the deadline has passed. Thanks!",0,None,12,Sun Mar 30 2014 01:21:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7549,/competitions/march-machine-learning-mania-2014,3rd
/matthewbarker,I have the answer,it is not possible to evaluate the Allstate data without data from other providers. If you can provide other quotes that each costumer received from other providers.... then this data can be analyzed and predicted. -Matt,0,None,10,Sun Mar 30 2014 05:06:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7550,/competitions/allstate-purchase-prediction-challenge,None
/hermanbovens,Neural network output interpretation for classification,"Hi, I'm starting to experiment with ANNs for classification problems in Kaggle competitions. A problem that came up is the following: If there are e.g. 3 target categories A / B / C, I encode my ideal output as A = 1,0,0 / B = 0,1,0 / C = 0,0,1. The network will be trained for the smallest output error, and I will just look at the output neuron with the highest value to determine the category, so e.g. 0.8, 0.9, 0.7 would be category B. If the ideal output was 0,1,0 then this would be good enough. But if for the same ideal output, the actual output was 0.2, 0.1, 0.1 then the error would be smaller but the result would be incorrect. So it seems training for the smallest error is not the same as searching the optimal solution if using this output encoding/interpretation strategy. So how is this typically dealt with? Thanks Herman",0,None,1,Sun Mar 30 2014 14:46:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7552,None,None
/lnicalo,Configuration neuron model,"Anyone knows where there is a description for each simulated network? I mean, some parameters such as decay time constant, firing rate, noise power, connection probability, etc.I don't know if they should be estimated from signals as part of the challenge.",0,None,1,Sun Mar 30 2014 19:42:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7553,/competitions/connectomics,16th
/ecodan,Simple question about the data structure,"Can I assume that the column index in the activity file corresponds to the row index in the position file as well as the i and j values in the network files? As a follow-on, i and j are 1 based (vs. 0 based) sequences, correct? Thanks, Dan",0,None,1,Mon Mar 31 2014 06:21:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7557,/competitions/connectomics,17th
/meditativeape,"Restore g, r, and i-band images from JPG files?","Hi, I am reading the original Galaxy Zoo paper (http://arxiv.org/pdf/0908.2033v2.pdf), where the authors train a neural network and achieve better than 90% accuracy in distinguishing smooth galaxies from galaxies with feature/disks. I am very interested in the input parameters they use. They use some quite complicated parameters, including (g-r) color, (r-i) color, de Vaucouleurs fit axis ratio, Exponential fit axis ratio, etc. However, these features use g, r, and i-band images, which I am not sure if we can restore from the JPG images provided to us. In case you don't know, they are images captured through SDSS telescope's filters. I just learned that from here: http://skyserver.sdss.org/dr1/en/proj/advanced/color/definition.asp. If these images are useful, as proved in the paper, and cannot be restored from JPGs, why can't we have them too? It's kind of unfair since the original paper used them and described them as ""used extensively in the literature for morphological classification in the SDSS"".",0,None,1,Mon Mar 31 2014 06:47:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7558,/competitions/galaxy-zoo-the-galaxy-challenge,185th
/dhouhaabid,Data release of the 4th year,"Hi, I want to ask if there is any possibility to get the data for the 4th year especially the competition is ended. In fact, I want to work on this competition to do my course project. So, I need to test my data as well. Thanks.",0,None,6,Mon Mar 31 2014 10:59:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7560,/competitions/hhp,None
/wcukierski,Final Four Predictions,[Link]:https://storage.googleapis.com/kaggle-competitions/kaggle/3333/media/kaggle_final_four.png,0,None,8,Mon Mar 31 2014 20:19:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7562,/competitions/march-machine-learning-mania-2014,None
/rwinstonbnc,Submission (1010101) or (0213012),Quick question:Are we just trying to predict whether or not the customer purchased A through G OR are we trying to predict the kind of option they will purchase.I thank everyone in advance for your help.,0,None,1,Tue Apr 01 2014 01:58:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7564,/competitions/allstate-purchase-prediction-challenge,1417th
/arvindsubramanian,Keep Submissions Open,"Dear Competition Admins, would it be possible to keep the submission open for this competition for a couple of weeks after the deadline? I am working with a few other students and this is our first machine learning competition.",0,None,1,Tue Apr 01 2014 03:51:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7566,/competitions/pakdd-cup-2014,209th
/ranlocar,What did you do to get to the top of the board?,"Any ideas are welcome! I would like to share my approach, which ultimately got to 57th place (top 10%) - I usually use R for modeling and data analysis. This is the first time I used Excel, and was very surprised to get such good results. Of course, it's a problem when the dataset is too large - I completely disregarded the sales data. - I used Excel concatenation and ifs to reformat dates to MM/YYYY format, and component/part to MX_PXX format. After that I created a pivot table (in Excel) which gave me a row per part, and a column for each month. The table had lots of missing values (where there were no repairs), so I completed those with 0's - I then added 19 columns for the 'months to predict', and used simple exponential decay to create predictions, using a single coefficient for all parts (0.91^K proved to be the best, somehow). - The remaining question was what should the prediction for the first month (2010/01) be. I tried the last available month, and improved it slightly with the following decision: when there are more than 3 decreases in the number of repairs, in the last 'known' 6 months, use the repairs data of 2009/12. Otherwise use the average of 2009/10-2009/12. e.g. for 2,2,2,2,2,3 I used an average of 2,2,3; for 6,5,4,3,2,1 I used 1. This got my accuracy to ~3.15 on the public board. - I boosted the accuracy, by creating a separate decay coefficient for each row. I did this by taking log(repairs+1) for the last 6 months, and using LINEST on those numbers to fit a line to them. I used exp(LINEST) as the coefficient. When exp(LINEST) was >1, I used the 0.91 I had found before as a replacement. As the average of the predictions was less than the error on the zero benchmark, I thought I should increase my coefficient, so for each K (and I had a K per row), I created K1=K+(1-K)/2, and used it for exponential decay. This gave an accuracy of 2.88 on the public board. - I tried playing with the number of months used to establish the coefficient, and found that I get better accuracy with 8 months. Ultimately, that gave an accuracy of 2.83 on the public board and 2.57 on the private board. My takeaways: - Excel is a great tool for data analysis. May not have all the power of R, but it gives results quickly, with very little coding - Brute force may be ugly, but gets (some of the) work done - simple (too simple?) models sometimes give reasonable results - fitting a separate model to a very small amount of data can give better results than a single model for all data. I've attached my Excel. Sheet1 is the model, Sheet2 is for submissions. Looking forward to your war stories! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/41302/1173/ASUS_Repair.xlsx",6,silver,3,Tue Apr 01 2014 14:01:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7573,/competitions/pakdd-cup-2014,43rd
/tafkas,My approach,"In order to get random data, I asked a Windows user to log out of vi and captured his input. Let's see where that approach will put me.",0,None,1,Tue Apr 01 2014 16:43:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7576,/competitions/random-number-grand-challenge,133rd
/brianliou,StatsGuys March Machine Learning Model,"Hi! We are in like 100th place haha so we are not trying to ""showcase"" solutions or anything but we are very interested in getting feedback on our work. Both of us are current undergrads at Berkeley and Machine Learning enthusiasts and we posted our work in the form of a blog. http://statsguys.wordpress.com/2014/03/06/data-analytics-for-beginners-march-machine-learning-mania-part-i/ Any feedback would be greatly appreciated!",1,bronze,1,Tue Apr 01 2014 19:40:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7580,/competitions/march-machine-learning-mania-2014,82nd
/wcukierski,Removing Cheaters,"We have started the process of removing suspected cheaters from the leaderboard. If your team was removed from the leaderboard and you believe it is a mistake, please email compliance@kaggle.com to plead your case. You should include an explanation for your statistically improbable similarity to one or more other teams.",2,bronze,2,Tue Apr 01 2014 20:37:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7581,/competitions/pakdd-cup-2014,None
/aysent,Still trying to beat the benchmark?,"Inspired by @Abhishek. Are you still trying to beat the random benchmark? Download the attached python script, run it: python BeatBenchmark.py and submit the resulting BeatBenchmark.csv. Good luck! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/41343/1176/BeatBenchmark.py",1,bronze,3,Tue Apr 01 2014 23:48:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7583,/competitions/random-number-grand-challenge,31st
/ramnarayan88,car_value attribute,"Why the ""car_value"" attribute is in characters like (a,b,c,d,e,f,g,h,i). What does each character imply?. Please clarify",0,None,1,Wed Apr 02 2014 10:27:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7588,/competitions/allstate-purchase-prediction-challenge,1219th
/superant,Idea for approach,"If the private board is now final, it seems that predicting 1000000 for each number would have given a win provided you are lucky enough to be put in the right position. Here is an idea that might have worked for this problem: predict all zeros to get the (absolute) sum of all numbers (and hope their test set doesn't change :D) predict all zeros, except for one specific position which you predict a very large number; this way by observing the final score you will be able to calculate this particular random number in the test set (with the total sum from above); do this for a couple of positions guesstimate the median from the few random number you know; hopefully you guess 1,000,000 (since departing from this seemed to increase your score) now submit your few known random numbers and the median 1,000,000 for the rest Probing like this with 10 submissions in total would make you position 12 on the public score board. All you need is anything lower than position 37. Because now you can check the needed score right before the closing of the competition, and add a calculated number to one of your predictions. This way you total score will hit exactly the number you are aiming for. Unfortunately everyone choses a submission he wants to use. So this makes it totally random again :-)",0,None,8,Wed Apr 02 2014 12:01:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7589,/competitions/random-number-grand-challenge,30th
/mohammadmotiurrahman,Last minute starter,"Hi, I am trying to understand the values given in the training solutions. In the link [Link]:http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/details/the-galaxy-zoo-decision-tree, it gives an example which says that class1.1 has probability of 0.8, class 1.2 has a probability of 0.15 and class1.3 has a probability of 0.05. Then it says that 80% of users which have identified the galaxy as smooth , values of class 7.1 , 7.2 and 7.3 are given. There seems to be a dependence here between class 1.1 and class7.1.What is the value of 7.1, 7.2 or 7.3 if class1.2 is chosen. How do I find it in the training sample csv file.",0,None,7,Wed Apr 02 2014 12:55:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7590,/competitions/galaxy-zoo-the-galaxy-challenge,None
/cpremchand,Can I use Matlab? ,"I have read in one of the forums saying we can use any software we want. I am more familiar with Matlab, but just a bit skeptical, as its not open source. Thanks for your replies.",0,None,1,Wed Apr 02 2014 19:37:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7592,/competitions/allstate-purchase-prediction-challenge,None
/glouppe,On the relevance of the AUC score for causality,"Dear organizers, After some thoughts and experiments (we are currently #2 on the leaderboard), we are currently wondering if there is any value in trying to detect the direction of the edges in the network. At the moment, our best solution does not even try to exploit this information and we believe that there is no point in trying to determine causality because of the metric that we have to optimize. Indeed, from the normal-1 dataset, we can compute the best ROC AUC score one could possibly get if we made the true network undirected (i.e., if for all links (i,j), back links (j,i) were added): >>> # 'graph' is the true network of normal-1 >>> from sklearn.metrics import roc_auc_score >>> roc_auc_score(np.ravel(graph), np.ravel((graph>0) | (graph.T>0)))0.99561206860779461 In other words, without even considering causality, ROC AUC can be maximized up to 99.5%! All we need is to detect the links, no matter their direction. Since both valid and test networks are assumed to have been generated in the same way as normal-1, there is indeed no value in trying to determine the direction of the edges. The gain margin is 1-0.995 = 0.005, which is not very rewarding... By contrast, the area under the precision-recall curve (as often used in the field of gene regulatory network inference) seems to be more sensitive to the direction of the edges: >>> from sklearn.metrics import auc>>> from sklearn.metrics import precision_recall_curve>>> p, r, _ = precision_recall_curve(np.ravel(graph), np.ravel((graph>0) | (graph.T>0)))>>> auc(r,p)0.78974296799224053 In this case, the gain margin from detecting directions is 1-0.789 = 0.211, which is much larger. Overall, we are thus a bit sceptical about the scientific relevance of the challenge. If the goal was to detect the links in network, then the metric is fine. However, if the goal was to detect the directed connections - as we understood -, then ROC AUC seems to be an inappropriate metric, since it does not reward contestants who try to determine directions. Thanks.",11,gold,5,Thu Apr 03 2014 08:45:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7595,/competitions/connectomics,1st
/sneakyfox,Data Science Case Studies,"Does anybody know of a compendium of data science case studies being applied to business settings? I was looking for something that bridged the gap between the algorithms and the business side, to get a more cohesive picture of the analytics process.",27,bronze,8,Sat Apr 05 2014 05:19:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7615,None,None
/phhuang,Team disappeared in leaderboard,"Hi, I surprisingly found that my team disappeared from the leaderboard of the Galaxy Zoo competition. My submissions to the challenge and information of my team were both gone. All these things happened without any notification. I've submitted several entries to the challenge and I can see them in the Activity page of my account. It's so strange. Has anybody encountered such a problem? PS: My team name is 'Digger' in Galaxy Zoo competition.",0,None,3,Sat Apr 05 2014 09:03:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7616,None,None
/teaserebotier,source of answers for evaluation?,"I must have missed a big piece, but, can anybody tell me how the presence/absence of a connection is determined in the first place? Binary rendering is so coarse... Two neurons connected by a single synapse belong with the same class as two neurons connected by tens of thousand? Etc... Dying to spend time on this interesting problem, but would like more info about the data source! Thank you!",0,None,6,Sun Apr 06 2014 00:02:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7622,/competitions/connectomics,None
/abutaha99,Questions before kicking off,"Hi .... before i start joining competitions, computer science knowledge here is prerequisite , so i must have base knowledge in AI , ANN, etc ???",0,None,3,Sun Apr 06 2014 13:53:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7623,None,None
/willettk,End of competition - thanks and congratulations,"Dear participants in the inaugural Galaxy Zoo challenge: First of all, our sincere thanks to everyone who participated. I'm surprised and delighted by the number of teams who submitted entries, engaged in lively discussions on the forum, and ultimately helped us tackle a long-standing and important problem in astronomy. Particular congratulations go to 6789, Maxim Miliakov, and @sedielem, our competition winner. Kaggle will be in contact with all three of you shortly. Per the competition rules, you will be asked to release your code and model documentation with an open source license before receiving your well-earned prizes. For all participants, the Galaxy Zoo team is still keenly interested in the methods that other teams used in this competition, even if they didn't end up winning under the metric chosen. There's been an excellent discussion started already at on the forum at [Link]:https://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches. We encourage you to share your results and code, especially if you've used any methods you consider novel or potentially powerful. In addition to implementing one or more of the codes in studies of future galaxy surveys, we are planning on writing up the results of the competition as an academic paper for publication. We will certainly include results from our top three entrants, but I'd also like to describe other approaches that competitors have tried. If you're interested, please either share your results on the forum or by emailing me directly (willett AT physics.umn.edu). Again, our thanks for your brainpower, time, and participation in the competition. We hope to do more of these in the future, if our funds/science and your interest permit. - best, Kyle Willett and the Kaggle/Galaxy Zoo team",6,silver,1,Mon Apr 07 2014 05:02:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7625,/competitions/galaxy-zoo-the-galaxy-challenge,None
/wcukierski,Championship Prediction,Looks like it will be a close one! [Link]:https://storage.googleapis.com/kaggle-competitions/kaggle/3333/media/kaggle_national_championship.png,0,None,1,Mon Apr 07 2014 16:07:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7626,/competitions/march-machine-learning-mania-2014,None
/srt19170,Best Meta-Prediction?,"Back on January 20th, I said: Dr. Pain wroteSo what's the best ""realistic"" score for this contest? ...a log loss score of around 0.52... Surely that's worth a cut of the prize money. Of course, I also think there should be a prize for the entry that is closest to the Median Score without going over. :-)",0,None,9,Mon Apr 07 2014 16:47:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7627,/competitions/march-machine-learning-mania-2014,60th
/jmbundy,Not competing on this one but would like an example.,"I have recently begun developing my stats and ML skills, including completion of the Stanford ML course. This contest is very similar to something I want to learn, but the intuition just isn't sinking in for me. Would anyone who got a decent score on the test data be willing to share their code and methodology so I can wrap my brain around this? Thanks",0,None,3,Mon Apr 07 2014 17:27:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7628,/competitions/walmart-recruiting-store-sales-forecasting,None
/george04,question on stetter et al paper,"Is equation (5) on page 18 in the linked PLOS paper correct? I'm new to models of neural activity, but the minus sign seems strange and also it seems like the fraction of R added to E should also be subtracted from R.",0,None,1,Mon Apr 07 2014 17:51:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7629,/competitions/connectomics,8th
/tjames,March-machine learning leaderboard .csv file question?,"Hi Not that it would make a difference in my score. However, if I have two submissions, would there then at least be two rows in the .csv leaderboard file that correspond to both my entries? I noticed some parrticipants were listed twice in the .csv file, presumably for each of their submisstions. Thanks!",0,None,1,Tue Apr 08 2014 01:42:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7630,/competitions/march-machine-learning-mania-2014,237th
/muthujothi,Difference between Last Quoted benchmark and the one just above,The last quoted benchmark being 0.53793 and the one just above it being 0.53799 has much smaller difference. In terms of number of correct records predicted by the later (as calculated on 30% of leaderboard) is just around 1 record. 30% of 55716 = 16715 0.53793 * 16715 ~= 8991 0.53799 * 16715 ~= 8992 Am i missing something obvious that leads to beating the last quoted benchmark? or Some silly mistake in the computation above?,0,None,7,Tue Apr 08 2014 11:22:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7632,/competitions/allstate-purchase-prediction-challenge,612th
/wcukierski,Removal of cheaters,"We discovered three teams within the top ten for which we have evidence of cheating via multiple accounts. We have removed these teams from the leaderboard. Congratulations to team One Shining MGF for moving into first place! Please note that the standings further down the leaderboard may continue to change as we examine other cases of foul play. If you were one of the three teams removed from the leaderboard and believe you are falsely accused, you may email compliance@kaggle.com within two business days to plead your case. Thanks to those of you who played by the rules and made this such a fun tournament.",1,None,2,Tue Apr 08 2014 20:26:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7634,/competitions/march-machine-learning-mania-2014,None
/howjing,Will the organizers release data after the competition ends ?,"Hi I am wondering if the organizers release this dataset after the competition. I mean detailed information such as the correspondences of word_id <-> words, and the correspondences of label_id <-> labels etc.. Thank you",0,None,1,Wed Apr 09 2014 04:57:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7638,/competitions/lshtc,28th
/zhaomei,"about ""Allow host to contact me""","I forget wether I have marked the box ""allow host to contact me"", how do i know whether I marked or not ? If I forgot to mark, and I want to have the oppotunite,how should I do?",0,None,1,Wed Apr 09 2014 10:16:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7639,/competitions/walmart-recruiting-store-sales-forecasting,21st
/emanuelwilliams,"I cant get Weka,Scikit, or Meka to load this data","I have no idea what I am doing wrong. Weka and Meka will load the data until it hits a row with more than one label: 232 1:4 4:5 <-- will load 2345, 3434 4:5 9:3 <--- will not load scikit will load the data but when I train predicts everything to be the same class. Is the training data in the actual libsvm format or is it a modification of that format?",0,None,2,Wed Apr 09 2014 21:52:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7645,/competitions/lshtc,None
/theredrifle,How are our submissions being evaluated? I'm getting bizarre results,"I submitted a benchmark CSV and got the benchmark score of 0.53793, and then submitted a CSV where I changed the plan for only 1075 customers, and got a score of 0.40912. How is this even possible? Barring some extreme situation where (1) all of the rows that I changed are in the true hidden test set (assuming Kaggle is doing this), (2) all the rows that I changed are in the 30% used for the leaderboard, and (3) most of my changes are wrong (this part is obviously possible), it seems mathematically impossible to go from 0.53793 to 0.40912 by changing only 1075 rows. I had someone else review my work to make sure I'm not doing something stupid. What is happening?",0,None,1,Thu Apr 10 2014 15:06:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7648,/competitions/allstate-purchase-prediction-challenge,12th
/edwinv0,Instructions for submission are incorrect,"It took me way to long to understand why my submission weren't accepted. The instructions are: ""For each of the 28000 images in the test set, output a single line with the digit you predict."" Then there is an image visualization this exactly. In reality, you have to include ""ImageId"", and ""Label"" column names and the row numbers. This of course is not in the instructions. I only found this out by looking at the benchmark solutions. Maybe it was obvious for others but it was not for me.",6,bronze,2,Thu Apr 10 2014 17:38:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7649,/competitions/digit-recognizer,None
/mlearn,Anonymous?,If I accept the rules that seems to lead to having a binding agreement with an anonymous entity. I have to assert I don't work for this anonymous entity - which unless one is unemployed is hard to be sure! I might also have to deliver solutions to this anonymous entry. The boilerplate rules don't seem to make sense with an anonymous sponsor. Can things please be clarified? I'm guessing if the sponsor needs to remain anonymous then Kaggle instead needs to be entity with which one makes a binding agreement.,0,None,2,Thu Apr 10 2014 23:12:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7652,/competitions/acquire-valued-shoppers-challenge,112th
/abhishek,repeat trips and repeaters,these variables are the same right? repeaters = repeattrips > 0 ?,0,None,18,Fri Apr 11 2014 11:19:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7660,/competitions/acquire-valued-shoppers-challenge,7th
/breakfastpirate,Getting started - data reduction,"Just for getting started, to get the data down to a more manageable size, I extracted only transactions where the category was a category on at least one of the offers. This got the transactions down from about 22GB to about 1GB. Obviously, as the competition progresses, I'd recommend delving into the ""other 21GB"" but this might help getting started. Code is below. It is a combo of grep and R. ----------------- Unix script for getting transactions where category is in at least one offer. WARNING, this will pick up some junk rows and maybe even duplicate rows because of grep matching other parts of the row. grep "",706,"" transactions > trans_cat.csvgrep "",799,"" transactions >> trans_cat.csvgrep "",1703,"" transactions >> trans_cat.csvgrep "",1726,"" transactions >> trans_cat.csvgrep "",2119,"" transactions >> trans_cat.csvgrep "",2202,"" transactions >> trans_cat.csvgrep "",3203,"" transactions >> trans_cat.csvgrep "",3504,"" transactions >> trans_cat.csvgrep "",3509,"" transactions >> trans_cat.csvgrep "",4401,"" transactions >> trans_cat.csvgrep "",4517,"" transactions >> trans_cat.csvgrep "",5122,"" transactions >> trans_cat.csvgrep "",5558,"" transactions >> trans_cat.csvgrep "",5616,"" transactions >> trans_cat.csvgrep "",5619,"" transactions >> trans_cat.csvgrep "",5824,"" transactions >> trans_cat.csvgrep "",6202,"" transactions >> trans_cat.csvgrep "",7205,"" transactions >> trans_cat.csvgrep "",9115,"" transactions >> trans_cat.csvgrep "",9909,"" transactions >> trans_cat.csv # R code to weed out junk rows that were accidentally picked up by grep. # If duplicates exist, getting rid of them is left as an exercise to the reader. trans_cat <- read.csv(""trans_cat.csv"",header=TRUE)nrow(trans_cat)table(trans_cat$category) trans_cat <- trans_cat[which(trans_cat$category %in% c(706,799,1703,1726,2119,2202,3203,3504,3509,4401,4517,5122,5558,5616,5619,5824,6202,7205,9115,9909)),]nrow(trans_cat)table(trans_cat$category)",33,gold,42,Fri Apr 11 2014 17:48:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7666,/competitions/acquire-valued-shoppers-challenge,146th
/saikumarallaka,AllLuck Purchase Challenge,"On 30% test data if the accuracy is 54%, what could be on 100%? Any guess?",0,None,1,Fri Apr 11 2014 19:09:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7667,/competitions/allstate-purchase-prediction-challenge,None
/gregoirel,Final Requirements,"As per the official rules, I'm attaching the source code, documentation and license for my solution, which is eligible for 2nd prize according to Kaggle. Thanks to Ramzi for the help in putting this together. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/41747/1191/KaggleAsusCompetition.zip",13,silver,2,Fri Apr 11 2014 21:17:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7668,/competitions/pakdd-cup-2014,None
/rohanmurde,Markdowns Vs Weekly Sales,How are the markdowns and weekly sales related ? If weekly sales = 16567.69 then Markdown1 =6277.39 Markdown2= 21813.16 Markdown3=143.1 Markdown4=1450.13 Markdown5= 8483 What do the values in Markdowns represent ? Is it the sales ?So total sales = Weekly sales+Markdown1+Markdown2+Markdown3+Markdown4+Markdown5 ?Please correct me ... Thanks,1,None,2,Sat Apr 12 2014 00:23:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7670,/competitions/walmart-recruiting-store-sales-forecasting,590th
/somniumvenator,Evaluation,"I understand evaluation is done via AUC. I am familiar with AUC when predictions are binary, but in this case predictions are probabilities. Just saying AUC is also a little vague definition, since I've seen (in the literature) at least two different set of measurements being used in the XY axes. Is it possible (for the sake of clarity) to provide the specific formula under which the evaluation is being done? I think many people will appreciate this. Many thanks in advance,",0,None,15,Sat Apr 12 2014 01:16:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7671,/competitions/acquire-valued-shoppers-challenge,825th
/diffentcom,python scikit-learn use in competition submissions?,"Hi all, does anyone know offhand if Python's scikit-learn can be used as the basis of competition submissions? Understanding all the ""whereases"" of the legal rules can take more effort than solving the original problem it seems.",0,None,1,Sat Apr 12 2014 21:16:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7675,None,None
/saikumarallaka,Will Linear Regression Work?,"I never tried it.. will it work for time series?.. I mean, i see that is the only way to consider markdowns",0,None,2,Sun Apr 13 2014 07:54:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7677,/competitions/walmart-recruiting-store-sales-forecasting,48th
/sfin2015,Related useful models/modellings,"Predicting whether customer becomes repeat buyer is ""sort of"" sub-task in estimation of customer's lifetime value. Best models in that field (to my understanding) are based on Bayesian models which model timing of first purchase, 2, 3, ... , amount in first purchase , 2, 3, ..., customer churning, etc etc. Remark that in this competition one does not need to do full lifetime value modelling (which would be, perhaps, a bit ""overkill""). Anyways it might be worth taking a look at the following things: ""Modeling Customer Lifetime Value"" http://www.anderson.ucla.edu/faculty/dominique.hanssens/content/JSR2006.pdf ""Measuring Customer Life Time Value: Models and Analysis"" http://www.insead.edu/facultyresearch/research/doc.cfm?did=51835 Custora's CLV related material:https://www.custora.com/university/for-marketers/clv/advanced/bayesian-inferenceandhttps://www.custora.com/university/for-marketers/clv/advanced/pareto-nbd ""A modified Pareto/NBD approach for predicting customer lifetime value""http://www.essec.edu/faculty/showDeclFileRes.do?declId=8555&key=Publication-Content ""Improved Pareto/NBD Model and Its Applications in Customer Segmentation based on PErsonal Information Combination"" http://www.sersc.org/journals/IJDTA/vol6_no5/16.pdf In above NBD is negative binomial distribution which was used in early phases of computer modelling . See wiki page http://en.wikipedia.org/wiki/Negative_binomial_distributionRemark that NBD modelling approach has flaws but it is better than nothing :)",17,silver,3,Sun Apr 13 2014 12:23:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7680,/competitions/acquire-valued-shoppers-challenge,827th
/sashikanthdareddy,How was the decision to give an incentive to the customers made?,Was it based on random allocation or some other methodolgy?,1,bronze,2,Mon Apr 14 2014 18:18:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7685,/competitions/acquire-valued-shoppers-challenge,None
/loveall,Which Data Mining Tool for handling rows selectively!,Dear Mates! Can I Selectively reduce the Rows using R! Do i need any big data tools like Hadoop for this Challenge! Or R/Rattle Miner is enough! please clarify,0,None,12,Tue Apr 15 2014 09:52:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7689,/competitions/acquire-valued-shoppers-challenge,None
/huyz23919,May the odds be ever in your favor,Cheers,0,None,3,Tue Apr 15 2014 10:45:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7690,/competitions/the-analytics-edge-mit-15-071x,867th
/vu3mmg,How Many Variables,How many independent variable are you using ?,1,bronze,8,Tue Apr 15 2014 11:34:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7691,/competitions/the-analytics-edge-mit-15-071x,135th
/phanisrikanth,Deep Learning,"Hi all, Is anybody using deep learning for this problem? If yes, what is the thought process? Could you help me out.",1,None,5,Tue Apr 15 2014 13:28:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7693,/competitions/sentiment-analysis-on-movie-reviews,362nd
/iuliuscurt,Training set accuracy,"Is the training set manually annotated, or are we struggling to teach a machine to do it's best with input that another machine did it's best to classify? Here is a snippet from the training set: 89066 4629 the under-10 set 289067 4629 under-10 set 189068 4629 under-10 289069 4630 It 's just plain boring . 289070 4630 's just plain boring . 289071 4630 's just plain boring 089072 4630 plain boring 3 Problems: 1. While ""under-10 set"" is slightly bad, ""the under-10 set"" is neutral. 2. ""plain boring"" is positive. 3. By adding a ""."" to ""'s just plain boring"" (that is very negative) makes it neutral.",0,None,4,Tue Apr 15 2014 15:50:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7695,/competitions/sentiment-analysis-on-movie-reviews,321st
/nnaorin19,submission query,"hi do we need to make submission for each model(logistic regression, tree etc) or only the best one?",0,None,1,Tue Apr 15 2014 19:53:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7696,/competitions/the-analytics-edge-mit-15-071x,635th
/nnaorin19,logistic regression model suggestion,i am getting the auc value in the range of 0.7(no matter how much i improve)..is that bad?,0,None,10,Tue Apr 15 2014 19:54:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7697,/competitions/the-analytics-edge-mit-15-071x,635th
/bisakharay,Python scripts for Correlation Benchmarks,"Python scripts for Correlation Benchmarks with discretization are now available at https://github.com/bisakha/Connectomics1. Download the data (valid.tgz and test.tgz), uncompress it, and put it in the SampleCode/data directory.2. In challengeMain.py on line 153 and 155, change mockvalid and mocktest to valid and test.3. Run python challengeMain.pyThis will produce a file [algoname]_[dataset1]_[dataset2]_[datetime]_kaggle_ready.csv with 2000001 rows. Upload this as your submission to Kaggle.",2,bronze,2,Tue Apr 15 2014 20:01:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7698,/competitions/connectomics,64th
/zachmayer,Self evaluation,I'm seeing about a 15% falloff between my AUC on a test set and my AUC on the leaderboard. I'm just doing simple train/test split based on date. Is there a more intelligent way to make this split and get an estimate closer to what I'll see on the leaderboard?,0,None,1,Wed Apr 16 2014 06:41:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7707,/competitions/acquire-valued-shoppers-challenge,2nd
/ozzgur,Other Algorithms than those taught in the course?,Do you think other algorithms for this competition are allowed or are we restricted to the ones we learned in the course? i.e. is neural networks allowed?,0,None,8,Wed Apr 16 2014 07:38:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7709,/competitions/the-analytics-edge-mit-15-071x,216th
/novneet,Logistic Model Error,"I am trying to model logistic regression model for the problem. I am getting this error: Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels I have no idea what about this error. Can anybody please guide me over this.",0,None,3,Wed Apr 16 2014 12:43:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7715,/competitions/the-analytics-edge-mit-15-071x,843rd
/janratz,Trouble making submissions,"When I put my predictions on the test set and the UserID variable from the test set into one data frame with the following command: submission = data.frame(test$UserID, Prediction1) and then rename the column ""test.UserID"" to ""UserID"", I get a data frame that looks just like the submission sample when I'm using the command str(submission). However, when trying to upload it I get an error message, resulting from R automatically adding a third column to the csv file when I save it with the command: write.csv(submission, ""submission.csv"") When I open the csv-file in a text-editor it looks something like this: ,UserID,Prediction11,3,0.682,4,0.45... I could remove the first column manually, but there must be some way to avoid this happening in the first place. Could someone give me a hint? Thanks",0,None,7,Wed Apr 16 2014 15:44:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7716,/competitions/the-analytics-edge-mit-15-071x,13th
/udatta,"Need a ""guide""",,0,None,2,Wed Apr 16 2014 15:56:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7717,/competitions/acquire-valued-shoppers-challenge,None
/estebanafonso,Variable Selection,Any thoughts? The automated methods seem slow for this many variables. Not sure how I'd go about picking manually. I was thinking perhaps a lasso regression?,0,None,6,Wed Apr 16 2014 16:15:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7719,/competitions/the-analytics-edge-mit-15-071x,114th
/thaloco,How to add level?,"How do i add the same level to every factor column in a data frame?I only know that you can do this for only one column like this: levels(xy) = c(levels(xy), ""fgh"")",0,None,1,Wed Apr 16 2014 22:13:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7725,/competitions/the-analytics-edge-mit-15-071x,942nd
/yvolodin,Prediction values: some above 1.0 and some negative ,"I'm having an issue with my prediction values, and I was hoping I could get some tips. After making predictions on the downloaded test set using predict(Model, newdata=test, type=""response""), I place the results in the submission file using the instructions on kaggle. However, when I look at the probabilities in the submission file, some of them are above 1.0 and some are negative (which kaggle won't accept). Am I missing a step?",0,None,8,Thu Apr 17 2014 00:54:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7726,/competitions/the-analytics-edge-mit-15-071x,1009th
/jay12185259,reading transactions.csv hiccup ,"Hi All, Since transactions.csv is huge, I wrote my analysis program to read it line by line. It worked fine until it got to (I think) shopper ID 4294967295. According to my data-reading script, it is a very long record, at least 3,506,000 lines. After that I got a read error indicating that an unexpected (non-text) character started the next line. I used Hex Fiend to try and examine the transactions.csv file in the region of the error, however I could find no record with that ID using Hex Fiend. It is puzzling, perhaps my file format spec is off, or not robust, but it worked for many earlier records ('%u,%*u,%u,%u,%u,%u,%*u-%*u-%*u,%*u,%*s,%*u,%*f'). (At this point I'm only interested in who and what.) Perhaps Hex Fiend can't be trusted? I am also assuming that the IDs reside in a rank order. Any input would be great. I want to have a clue before I re-run a line-by-line re-read of the transactions file. Many thanks.",0,None,2,Thu Apr 17 2014 03:03:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7728,/competitions/acquire-valued-shoppers-challenge,735th
/dchv2o5,train with truncated last quote or whole data truncated?,"I have generated the truncated train data subjects to the distribution like test data. For training model, I tried to grab every last quote option to build model. However, the submitted result is no better than the benchmark...is that due to the poor performance of revised distribution? Or need I train different models with whole truncated data for last quote = 2,3...respectively and merge the predicted outputs finally? What I want is to beat benchmark merely, so I believe algorithm selection is not the key point for me. Anyone got some idea?",0,None,5,Thu Apr 17 2014 05:14:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7729,/competitions/allstate-purchase-prediction-challenge,439th
/datageek78,Logistic Model Error during prediction,"I am getting following error while running prediction on my test set. Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor YOB has new levels 1881, 1931, 1935, 1939, 1944, 2001, 2013, 2039 I am not sure why the error is coming as I don't have YOB as a part of my logistic regression model. Any help will be appreciated.",0,None,2,Thu Apr 17 2014 07:15:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7731,/competitions/the-analytics-edge-mit-15-071x,98th
/datageek78,Unexpected error during write.csv,"I copied the commands as they were given for creating submission data frame and then writing to a csv file. But, I am getting an error Error: unexpected input in ""write.csv(submission, “"" any idea what it could be?",0,None,3,Thu Apr 17 2014 07:57:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7733,/competitions/the-analytics-edge-mit-15-071x,98th
/online,Customer made 2647164 transactions,"Hi, is it correct that the customer with ID 378964359 made over 2.6M transactions? Compare with transaction.csv line 40990604-43637767. Greetings",2,bronze,4,Thu Apr 17 2014 08:39:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7734,/competitions/acquire-valued-shoppers-challenge,315th
/zenlytix,Survey says: Happiness is random?,"Anyone else feels this? I am really starting to get this feeling. Also data seems to somewhat indicate the same. If you plot each survey question to the dependant variable it looks like for most questions it seems somewhat split in the middle (give or take 10% visually) whether someone feels happy for both the response. (Not to mention the large number of missing data) Also in the random forest model survey questions barring a couple questions, I noticed they all appear after the non survey attributes (like education, household, income). Granted my models are still not that great. It is not too surprising everyone is clustered in such a narrow AUC range where in some case just a random number seed can take you up or down a few notches. I hope I am wrong (and our collective ""happiness"" remains high :) as the hours spent are really starting to add up (though this has been a very interesting learning exercise to get the quick feedback for trying out stuff).",0,None,1,Thu Apr 17 2014 10:51:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7735,/competitions/the-analytics-edge-mit-15-071x,140th
/hollywoodland,evaluating significance in randomForest models,can someone clear something up for me please... Is there any way of determining which variables have a significant effect on a randomForest model? (ie in the way significance of coefficients does in glm or the variables in each split of a CART) I am guessing the answer is no due to the nature of the method (randomess + voting) but just want to check in case there's a better way of selecting variables to consider,0,None,2,Thu Apr 17 2014 11:06:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7736,/competitions/the-analytics-edge-mit-15-071x,506th
/akashsingh,Imputation : Mice Error,"Hi I am getting an error on imputing the data. The error is :nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE, : too many (1146) weights The steps that I did are : > train = read.csv(""train.csv"",na.string="""") > train1 = train[ ,1:7] > Train2 = train[,9:110] > trainImpute = cbind(train1,Train2) > imputed = complete(mice(trainImpute))",1,None,10,Thu Apr 17 2014 12:28:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7739,/competitions/the-analytics-edge-mit-15-071x,1022nd
/bbsa186055,Submission file have two probabilities ,"My submission file has two probabilities for each UserID. Sum of these t2o probabilities makes 1 so I think one probability is for Happy = 0, other for Happy = 1. How can I separate them? Thanks",0,None,1,Thu Apr 17 2014 12:39:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7740,/competitions/the-analytics-edge-mit-15-071x,609th
/chriscos,Imputation and outliers,"I looked at the ""mice"" documentation, and there was no discussion of ""outliers"" (at least using the term outlier). I'm curious if outliers can cause aberrations with imputation. I guess my hope is that mice would identify outliers and weight them less when taking values for imputation. Does anyone have any ideas about this or some references they can point me to?",0,None,9,Thu Apr 17 2014 16:58:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7742,/competitions/the-analytics-edge-mit-15-071x,1324th
/philipjames,Making Your Own Test,Just wondering if other people are splitting the training set to so they have a test set that can be checked against their models before submitting as opposed to just checking the AUC of the training set.,0,None,6,Thu Apr 17 2014 18:51:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7744,/competitions/the-analytics-edge-mit-15-071x,52nd
/kdon184950,+ prompt question,"I'm exploring the update function to train a model; the syntax is - Model2 = update(Model1, ~.-list of variables) The command line runs successfully as variables - separated by commas - are added to the list up to a point where R generates the + prompt instead of >. I understand the + as a call for additional information such as closing parentheses, but my syntax is correct. Grateful if someone could advise on this. Does the update function have a limit on the number or nature of variables, for example? Many thanks.",0,None,1,Thu Apr 17 2014 20:44:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7745,/competitions/the-analytics-edge-mit-15-071x,1540th
/awartany,High AUC of 0.799204 on my local test set but around .73 on Competition test set!,"I had a relatively high AUC of 0.799204 on my local test set. However, I only got something around 0.73 AUC when submitted the competition test set! I'm splitting on 70-30 ratio and using Logistic Regression. Any idea what's happening here?",0,None,3,Thu Apr 17 2014 22:31:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7746,/competitions/the-analytics-edge-mit-15-071x,212th
/avalanche1,Confused about submissions,"I know this is really a rookie question, but I can't seem to find it addressed so I have to ask. The two column submission format show in the example is really just the output of our model (ID number and probability that they're happy), correct? Will we ever be submitting the actual model? (I would think so.) If so, can you point me to where that is described?",0,None,1,Thu Apr 17 2014 23:39:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7747,/competitions/the-analytics-edge-mit-15-071x,233rd
/philipjames,Random Numbers,"If we are doing anything that involves random numbers (i.e. stuff we used set.seed() for in the class such as imputing, randomForest(), etc.) Should we be using set.seed() so that we can recreate the exact model again?",0,None,2,Fri Apr 18 2014 00:19:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7748,/competitions/the-analytics-edge-mit-15-071x,52nd
/noellak,Age Spike - After NumericToNominal filter on Weka,"I noticed there were age spike, the highest members of the set of data were 75 years olds. Is it because of 75 is the max age? Or should I consider them as dirty data? See the image I uploaded. It is similar result as age_youngest and age_oldest but the image here is for the age_youngest. My point here is that, why there is an spike for age 75 only? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/42281/1206/Screen Shot 2014-04-17 at 10.38.04 PM.png",0,None,3,Fri Apr 18 2014 05:01:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7750,/competitions/allstate-purchase-prediction-challenge,1460th
/anug176390,Evaluation Exception while submission,"Hi, I am facing the exception: Evaluation Exception: Input string was not in a correct format.. My output seems to comply with the required format. What's going wrong? I prepare the file in linux, transfer to windows and make a submission from there. Are spaces going to make some difference? I appreciate any help. Sample output : Id,Predicted1,13305 6853 4582,74494 121802 1938463,853 347 134",0,None,1,Fri Apr 18 2014 06:00:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7751,/competitions/lshtc,96th
/arshad,Policy Combinations ,"When I generated all the possible policy combinations that is all the valid policy combination it found them to be 2304. And out of all those possible policies only 1522 appear as being purchased in the training dataset. So can i say that no one would buy these policies even in the future... Also if i only consider the policies that have been purchased at-least 50 times in the training dataset , then i can further reduce the policies to under 350. is this a reasonable way to move forward... or we cant get anything useful from this kind of analysis.... Regards",1,bronze,1,Fri Apr 18 2014 07:20:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7753,/competitions/allstate-purchase-prediction-challenge,928th
/lindemann,Using Python ?,"Hi, I have used this class to get familiar with R and got a score of 0.74177 so far, with very naive techniques. Now, I seriously feel limited by my lack of fluency in R and I am thinking about switching to Python, which I use for my every day scripting and web projects. I am infinitely more familiar with the standard pythonic way of playing with data structures, objects, functions and loops. However, I am not as familiar with sci-kit, pandas and the other famous libs for data science. In addition to the Sci-Kit learn website, does anyone have some resources (blogs, tutorials) that could help me take a very fast track to work on this challenge in Python ? If you need more details, I would like to be able to perform: data regularization (handle NA's, binning) logistic regression trees and random forests clustering (K-means, hierarchical) SVM stratified k-fold cross validation However, I'll appreciate any help.",0,None,4,Fri Apr 18 2014 12:55:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7754,/competitions/the-analytics-edge-mit-15-071x,67th
/asmitjain,Using (all minus some) variables in a model?,"This question is a bit general on R. I want to build a model using MOST of the independent variables but not all By most I mean the no. of variables I want to use is close to max. variables. When we have to use 'all minus one' variables we simply use "" . - <variable name>"". But what if the subtracting variables names are more than one? Can someone suggest the way to do it now? Thanks!",0,None,11,Fri Apr 18 2014 13:32:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7755,/competitions/the-analytics-edge-mit-15-071x,142nd
/ashishrane,Number of Variables,"Hey Guys, Hope you all are enjoying the competition. Could you please suggest how many variables are you using ? I am using around 25 independent variables but not sure if it's too many or too less.",0,None,1,Fri Apr 18 2014 20:21:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7757,/competitions/the-analytics-edge-mit-15-071x,1200th
/jfkingiii,Kaggle growth and the forums,"I don't know the exact numbers, but it seems to me that Kaggle is growing rapidly. Loan default was one of the most popular competitions ever, and now I see Allstate at 992 teams. With growth there will be problems; more multiple submission cheaters, more confusion from new participants about how to compete, and deterioration of the forums. The problems that plague large internet forums have mostly not bothered us, which speaks very highly for the community, but I don't think that will last. In ASUS there were a large number of cheaters to clean up; in Walmart a troll created a sockpuppet who posted insulting posts and abused his flagging privileges. He seems to have been brought under control now. He would have lost his flagging and posting rights on stackoverflow in a matter of hours. The admins have not been responding to direct questions from users and all the posts flagged by the troll are still in ""flagged for moderator attention"" status - no response from admins. Spam shows up on the forums sometimes, although it does seem to get deleted in a day or two. So my question is, how to handle this growth? Does kaggle need to hire more dedicated admins? Do we need volunteer moderators from the community (would people even be willing to do this?)? The traditional wisdom is that once an internet forum reaches a certain size, it becomes a vast wasteland without very active moderation, and it seems the admins don't have time. More competitions will lead to more data problems and leakage that someone will have to solve. And competitions are only a piece of how kaggle makes its living. So basically my question is how to move forward? Is kaggle positioned to handle exponential growth internally, or do they need help from the community? Here's a post from meta stackoverflow that got me thinking about these things. http://meta.stackoverflow.com/questions/251175/stack-overflow-is-not-yet-a-vast-wasteland-a-history-of-moderator-tooling?rq=1",1,bronze,4,Fri Apr 18 2014 21:49:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7759,None,None
/rutra1992,Preparing data,"Hello, I have problem before I really started. I do not know how to proper prepare data before analysis. Could someone instruct me how to change factor variables Yes/No, Dad/Mom, Optimist/Pessimist and so on into binary variable ? I think that this is problem which make me unable to start analysis, however I am not sure how to handle so many NA's. Best Regards, Artur",0,None,7,Fri Apr 18 2014 23:05:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7761,/competitions/the-analytics-edge-mit-15-071x,73rd
/sonnyiam,Does anyone know what year is  this data collected?,If I were to compute the age of each observation?,0,None,1,Sat Apr 19 2014 01:23:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7763,/competitions/the-analytics-edge-mit-15-071x,1084th
/blindoryx,Are elders happier ?,"Just a funny fact I noticed : in the training set, people above 70 have a very high happiness rate (while below 70, the average happiness as a function of age is more or less flat ). Unfortunately they represent a very small part of the data set. It might be that seniors using new technologies are not usual old people (probably more active). Anyway, might be a good feature to add...",1,bronze,2,Sat Apr 19 2014 01:36:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7764,/competitions/the-analytics-edge-mit-15-071x,810th
/hollywoodland,Feature selection,Can someone shed some light on something for me... are there automated methods of feature selection and evaluating what might be important? I have been using common sense and examining significance/importance of the models I create but I wonder if there's a better way? (maybe I have overlooked something from the lectures) I also think some variables are probably highly correlated based on the type/content of questions and this is probably skewing some of the results I am happy to keep doing it manually but figured R probably has some nice approach - will go and google stackoverflow and report back if I find anything,0,None,5,Sat Apr 19 2014 12:26:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7770,/competitions/the-analytics-edge-mit-15-071x,506th
/datageek78,RandomForest outcome,My RF model is predicting 0 and 1s instead of the probability. Any idea why that is the case? I am using all the variables in the randomforest except userid and votes. I didn't convert the Happy variable to factor either. How did people get probabilities by using RF?,0,None,5,Sat Apr 19 2014 19:16:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7775,/competitions/the-analytics-edge-mit-15-071x,98th
/charan1,newbie,"Hi I am new to this kaggle and just have few doubts. could someone please clarify my doubts. 1) The final output we are looking for is from the past history, we need to predict which policy option( A, B, C, D, ... G) a customer is most likely to choose ? But the submission file only contains customerId and plan, what these two columns indicate? 2) From the train data, I am trying to build the best model using R code. But with so many rows, I am getting maximum size exceeded error for logistic regression model...etc. So do i need to truncate the data. If yes, on what basis should I truncate the data? 3) Is customer_ID the response variable that we are looking for? Thanks, Charan",0,None,1,Sat Apr 19 2014 22:08:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7777,/competitions/allstate-purchase-prediction-challenge,764th
/mlworle,saving  cleaned data,"I've cleaned up the data and had a successful glm() run and test. But when I try to save the data by write.csv(train, file=""train.csv"") I get the original data plus another column of indices. How can I write without having that extra column?",0,None,2,Sat Apr 19 2014 22:46:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7778,/competitions/the-analytics-edge-mit-15-071x,1070th
/billseliger,Splitting dataframe?,"Dumb question but my mind is a little fried right now. What is the correct function to split a dataframe? Let's say I wanted to split all of the demographic variables (yob, gender, income, etc.) into one dataframe and the 'questions' into another dataframe. How would I accomplish that?",0,None,3,Sun Apr 20 2014 00:05:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7779,/competitions/the-analytics-edge-mit-15-071x,502nd
/aleenakuriakose,Test data predictions for Leaderboard,"Hi, I am new to Kaggle and this is my first competition. For leaderboard submissions at this stage do I have to submit predictions for the entire test data available (about 55,000 unique customers) or can I just submit predictions for only 30% of the test data? Thanks in advance for your replies.",0,None,5,Sun Apr 20 2014 07:45:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7782,/competitions/allstate-purchase-prediction-challenge,1036th
/chunky1,Help: Submission file has more than1980 rows,My split level is at 0.6. My prediction output or submission file has more than 1980 rows. I appreciate any suggestions to fix my output. Thanks.,0,None,2,Sun Apr 20 2014 08:51:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7783,/competitions/the-analytics-edge-mit-15-071x,630th
/crowggle,Renaming the Question variables,"Folks - Am just getting started with this and the responses on this forum are so useful for newbies like me. Appreciate the helpful tips everyone has posted. Just thought of sharing one in case someone finds this useful. I renamed the Q variables with an recongnizable text using colnames function...It helps when the model runs and shows the significant variables in the output. Helps connecting with the data easier - All variables are in the order...Please note ""Meditate"" appears twice and should be removed in subsequent operations. colnames(YourDataName) = c(""UserID"", ""YOB"", ""Gender"", ""Income"", ""HouseholdStatus"", ""EducationLevel"", ""Party"", ""Happy"",""Interact_wDislike"", ""Parents_Fight"", ""Have_Min_Wage_Job"", ""Have_FT_Job"", ""Collect_Hobby"", ""More_20_Cash"", ""Pub_Pri_School"", ""Upset_attract_person"", ""Drink_Alcohol"", ""New_Reln"", ""Watched_Sesame_St"", ""Exp_Sts_Life_Events"", ""Plan_MS_or_PhD"", ""Parents_Married"", ""Science_or_Art"", ""Study_or_Try_First"", ""Weather_affects_Mood"", ""Sxesful_than_Friends"", ""Accomplished_Inspiring"", ""Reading_Book"", ""Giving_or_Receiving"", ""Wear_Glasses"", ""Lived_Same_State"", ""Idealist_or_Pragmatist"", ""Int_Violence_or_Threat"", ""Over_Your_Head"", ""Quick_Temper"", ""Work_Nonstd_Hrs"", ""Daily_Vitamin"", ""Happy_or_Right"", ""Like_Rules"", ""Travel_OO_US"", ""Have_Car_Paymt"", ""Stop_Lies_Life_Changes"", ""Morning_or_Night_Person"", ""Obedient_Child"", ""StartGH_or_EndBH"", ""Posi_Think_Works"", ""Own_Gun"", ""Hardship_Beyond_Ctrl"", ""Changed_Persona"", ""Money_buys_Happiness"", ""Unf_Water_at_Home"", ""Metro_20M"", ""Morning_TV"", ""Over_or_Under_Share"", ""Gamble"", ""Support_Charity"", ""Driving_Tunes_or_Talk"", ""Int_Ppl_or_Tech"", ""Meditate"", ""Have_Phobias"", ""Nat_Skeptical"", ""Better_Looking"", ""Straight_A"", ""Supportive_or_Dmd_Parents"", ""Fast_Alarm_Clock"", ""Mac_or_PC"", ""Been_Poor"", ""Cautious_or_Risk"", ""Feminist"", ""Enjoy_Exd_Fmly"", ""Single_Parent_HH"", ""Socialize_or_Space"", ""Parents_CG_Degree"", ""Spend_Time"", ""Too_Much_Debt"", ""Feel_Normal"", ""Punctuate_Txt_Msg"", ""Like_First_Name"", ""Like_People"", ""Own_Power_Tools"", ""Work_50hr_W"", ""Good_Liar"", ""Taking_Rx"", ""Retail_Therapy_Treat"", ""Alarm_Clock"", ""Brush_2M"", ""Pet_1M"", ""Grudge"", ""CC_Debt_1M"", ""BF_Everyday"", ""Feel_Adventurous_Life"", ""Rent_or_Own"", ""Opti_or_Pessi"", ""Wore_The_Pants"", ""Tree_House"", ""Overweight"", ""Cried_60_D"", ""Better_Life_5_Yr"", ""Check_Lists"", ""Some_TV"", ""Live_Alone"", ""Left_Handed"", ""Parent_Spank"", ""Life_Has_Purpose"", ""Exercise_3orM"", ""Siblings"", ""Go_to_creative_outlet"", ""Meditate"", ""Good_at_Math"", ""votes"") Thanks everyone",7,bronze,11,Sun Apr 20 2014 20:08:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7788,/competitions/the-analytics-edge-mit-15-071x,184th
/stefanowitsch212,write.csv command returns error,"write.csv (submission, “submission.csv”, row.names=FALSE) returns an error message, any write.csv command infact Have to copy / paste from console ... ideas?",0,None,1,Mon Apr 21 2014 02:12:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7791,/competitions/the-analytics-edge-mit-15-071x,402nd
/sk6187270,Does the search function in the kaggle forums work?,"Seems strange, but the forum has really grown useful in many dimensions but the search functionality seems broken. Anyone else have the same problem?",0,None,1,Mon Apr 21 2014 02:42:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7792,/competitions/the-analytics-edge-mit-15-071x,283rd
/sonnyiam,is it possible to achieve AUC on test.csv above 0.74?,"(the title should add""if using Logisitic Regression"") I am using logistic regression, and actually stuck at AUC = 0.735 I can overfit the training set to an AUC of 0.77, but it doesn't help on test set. I saw some people start using SVM, is it because none of the algorithms taught in this class so far are able to achieve a high AUC like the top ones in the leader board? if that is the case, then I suppose I won't spend too much time tweaking logistic regression, but my initial results on CART/RF are also bad. Doing clustering makes code messy and complicated! But I might spend more time on ""cluster-then-logisticRegression"" approach.",0,None,15,Mon Apr 21 2014 05:49:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7794,/competitions/the-analytics-edge-mit-15-071x,1084th
/billseliger,Many NAs when predicting with Random Forest on the test set,"When using Random Forest about 15.8% of the predictions on the test set return ""NA"". I have imputed the demographic data for both my test and train and filled in the responses on the questions for both test and train (adding a Factor ""Skipped""). I also corrected some of the YOB outliers in both test and train. When I split the train data into test and train the RF predict function is not returning any NAs so there's some data within the test set that is problematic. Is this because the RF model is treating YOB as a factor and when it runs into a YOB that doesn't exist in the Train data it returns NA?",0,None,2,Mon Apr 21 2014 06:46:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7795,/competitions/the-analytics-edge-mit-15-071x,502nd
/crowggle,Train of Thought on Training dataset,In order to get as much as real data (not the imputed one) for the model building I am subsetting the training data with a filter on the # of votes say - only include data for people who have voted 70 or more Qs. This actually reduces the # of obs by almost 50% but in return you have very small number of imputed values.The rationale behind this thought is - if people have voted say only 20 or 30 Qs out of 100s of them then any type of imputation on such responses will be too far from a reasonable estimate. The resulting model will be much better on such data than the one which uses data with too many imputed values (or skipped values). Would you jump on this Train of Thought? What is your strategy in dealing with the training dataset? I don't think there is any statistical reference point on how much training data you should use...unless I am missing something! Thanks.,0,None,9,Mon Apr 21 2014 08:45:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7796,/competitions/the-analytics-edge-mit-15-071x,184th
/rajitdg,Teach yourself Data Analysis using 20+ Free Online Courses,We have recently curated a comprehensive Learning Path (sequence of Online Courses and resources) on our website - http://www.mysliderule.com/data-analysis-introPlease take a look and tell us what you think! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/42576/1209/Data Analysis Learning Path by Claudia Gold SlideRule.png,2,bronze,3,Mon Apr 21 2014 10:09:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7798,None,None
/zachmayer,Data gaps,"Why is there a 6 day gap in the training set, between 2013-03-06 and 2013-03-12? Why is there a similar 4-day gap in the test set, between 2013-06-16 and 2013-06-20?",0,None,1,Mon Apr 21 2014 16:02:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7801,/competitions/acquire-valued-shoppers-challenge,2nd
/ninajermakow,The train and test sets,"Hi guys, I am jest getting started and having read majority of the posts in the forum I am not really understanding how to treat the ""train"" and ""test"" csv files we have been given. Am I to: 1: Do all my work on ""train"" set only; ie - split it into train1 and test1, - train models on train1 - check model accuracy on test1 - once I have a good model, run the submission code we have been given to generate probabilities per each person in the original ""test.csv"" file. 2: Use both the train and test sets; ie - train models on train - check model accuracy on test If 1 then how am I to verify how good the model is on the original ""test.csv""? If 2 then how since there is no response for our independent variable ""Happy""",0,None,6,Mon Apr 21 2014 16:22:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7802,/competitions/the-analytics-edge-mit-15-071x,1301st
/krischris,Gaming the AUC on the test set,"How many of you think that if you repeatedly submit your test results (trying out many things every time), your model selection process is ultimately biased by the results you get on the test set? And the test set itself is no longer ""clean"" ?",0,None,7,Mon Apr 21 2014 22:00:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7804,/competitions/the-analytics-edge-mit-15-071x,43rd
/triskelion,Beating the Benchmark with Hinge Loss (~0.66100),"Another spectacular competition with amazing data sets! Using the [Link]:https://github.com/FBK-NILab/DecMeg2014 we repeat a similar process, but we use hinge loss in Vowpal Wabbit instead of logistic regression in sklearn. This improves the benchmark score and has an added benefit of using no more than 80MB of memory during training (vs. 10GB for in-memory logistic regression). Scripts are provided to: Munge the data from .mat files to .vw (vowpal wabbit) files. Generate a Kaggle submission from the prediction files made by VW. Plot brain activities on a graph The Vowpal Wabbit train command: ./vw face.train.vw -c -k --passes 60 --loss_function hinge --binary -f face.model.vw All up-to-date code available in my [Link]:https://github.com/MLWave/Kaggle-decoding-the-human-brain. In-depth tutorial and code description on [Link]:http://mlwave.com/predict-visual-stimuli-from-human-brain-activity/. Happy competition! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/42659/1211/munge_to_vw.py",25,gold,17,Tue Apr 22 2014 03:04:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7805,/competitions/decoding-the-human-brain,141st
/gavinmh,Data set license,I do not see any license agreement accompanying the data sets. Are there any restrictions on their use?,2,None,2,Tue Apr 22 2014 03:38:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7806,/competitions/detecting-insults-in-social-commentary,None
/philipjames,Data Munging vs. Model Tuning,"Just wondering if people are having more success with addressing all the missing data versus trying to fine tune their models once they have them. Personally, I have not had a ton of luck with working with the data. I have tried mice(), as well as methods of manually munging the data. So far none of my data related efforts have improved my scores.",1,None,2,Tue Apr 22 2014 03:59:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7807,/competitions/the-analytics-edge-mit-15-071x,52nd
/philipjames,SVM Probabilities < 0 and >1,"Not sure what I am doing wrong, but for some reason when I try the SVM function, I am getting probabilities greater than 1 and less than 0. I have tried tweaking different parameters in both svm() and predict(), but no matter what this seems to be happening. Could the issue be something with my data?",0,None,6,Tue Apr 22 2014 08:32:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7810,/competitions/the-analytics-edge-mit-15-071x,52nd
/rakhil93,Processing the Data,"I have spent two days on processing the data using methods like omitting NA's or using the Imputation method. But when i try to run a lm() and predict the model on the test set im getting an error as. > m_lm <- lm(Happy ~ ., data = train)> pred_lm <- predict(lm, newdata = test)Error in UseMethod(""predict"") : no applicable method for 'predict' applied to an object of class ""function"" i have used the sample.split function to create a train and test data set from the Kaggle Train data set. I need some guidance here.",0,None,10,Tue Apr 22 2014 09:23:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7811,/competitions/the-analytics-edge-mit-15-071x,487th
/filipenkov,Why the same plan could be of different cost?,"E.g. for Customer_ID=10000000 we have the same vector of plan (A...G)=(1;0;2;2;1;2;1) for shopping points 2 to 9. But the cost varies a lot 630, 638, 634. What is the factor that affects the cost in this case? Or why the price is not fixed for the same plan?",0,None,4,Tue Apr 22 2014 13:48:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7814,/competitions/allstate-purchase-prediction-challenge,221st
/lawrencechernin,Rules give biased solution that is not business optimal?,"The contest rules seem kind of sub-optimal in that we have to match the vector exactly to get credit. I think that this is attaching a bias to the problem that doesn't make business sense. Instead I would score on the prediction of the most important features, otherwise it is overly focused on predicting if the $3 roadside assistance correctly, instead of the more accuracy on the collision and comprehensive part.",0,None,2,Tue Apr 22 2014 15:12:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7815,/competitions/allstate-purchase-prediction-challenge,1389th
/zygmunt,Which questions are the most predictive - variable importance scores from a random forest,An introductory write-up of this competition with some code and a look at which variables are important: http://fastml.com/predicting-happiness-from-demographics-and-poll-answers/ Click thank if you find it interesting.,4,bronze,3,Tue Apr 22 2014 16:42:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7817,/competitions/the-analytics-edge-mit-15-071x,17th
/controle,Wrong date,"When I sort the Year of Birth (YOB) for the training set I find one person who was born in 2011 and another who was born in 2039. The test set has some suspicious dates as well (one person born in 2013 and another born in 2039). How are you managing that? I think we should exclude these persons, but I'm not sure.",0,None,3,Tue Apr 22 2014 18:20:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7818,/competitions/the-analytics-edge-mit-15-071x,580th
/billseliger,Mechanics of Clustering,"I'd like to try combining the test and train demographic data, clustering it into several groups, creating separate models for each cluster and then combing the final results (which would require that I retain the original User ID for the final combination). However, I can't find a way to keep the original identifying information (such as UserID) in the dataframe that I use for clustering without it being taken into account when clustering (i.e. there is no -UserID argument for the dist or kmeans functions). I have thought about dividing the UserID by a very large number (making the difference infinitesimal and not playing a role in the distance calculations) and then multiplying it by that same large number but there must be a better way to do this. Are there other approaches I should be considering?",0,None,1,Tue Apr 22 2014 18:48:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7819,/competitions/the-analytics-edge-mit-15-071x,502nd
/waterbears,Make sure to get rid of trials with artifacts,"In addition to having a strong oscillation coupled to the AC power supply ~50Hz, on some trials, the electrodes have orders of magnitude larger than normal excursions (subjects moving around, experimenter touch wire etc.). For example, trial 535 for subject01. probably a good idea to get rid of these from the training.",2,bronze,1,Tue Apr 22 2014 20:29:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7821,/competitions/decoding-the-human-brain,None
/bduff185664,"Best score for ""regular"" models","Hi, I've been working on the models taught in class and I don't get very good results at the moment. I wonder if it is because everyone use other models (which I totally understand), or if it is because I chose bad parameters and variables for my models. I haven't managed to get higher than a 0.66 AUC with random forest and logistic regression, what about you ? Thanks",0,None,3,Tue Apr 22 2014 22:22:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7823,/competitions/the-analytics-edge-mit-15-071x,400th
/hernanavella,[ERROR] submitting....please help.,"When submitting, I get two errors a. ERROR: Column 'Probabilty1' was not expected (Line 1, Column 10) b. ERROR: Required column 'Probability1' could not be found. I followed this code: submission = data.frame(UserID = test$UserID, Probabilty1 = predict) write.csv(submission, ""submission.csv"", row.names=FALSE) When I inspect the file. It looks ok with 1980 observations, the Id#'s look correct. And line 1 of the file is the name of the columns ""UserID"" and ""Probability1"". I can't understand what is wrong with my submission. I appreciate any help. Thanks Hernan",0,None,1,Tue Apr 22 2014 23:55:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7826,/competitions/the-analytics-edge-mit-15-071x,960th
/slowandsteady,Starter looking for a bigdata competition to participate in,"Hi, I am a university student and I have just learnt some basic stuff about Big Data. I was wondering if someone can help me identify a simple big data competition I can participate in (mainly for learning purpose). I am looking for more of big data learning than data mining and I have only 2 weeks of time. I have a CS background earlier and can write code. Any help would be appreciated.",0,None,1,Wed Apr 23 2014 04:33:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7827,None,None
/sonalsharma,Unable to open the .csv file,"Hi, I am unable to open for ""transaction.csv"" in MS Excel. Please let me know if I can split the file without opening or not.",0,None,4,Wed Apr 23 2014 08:32:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7830,/competitions/acquire-valued-shoppers-challenge,None
/mujtaba1,How to make predictions on test as it does not have the happy dependent variable,"model=glm(Happy~.,data=train,family=binomial) testPred=predict(model,data=test,type=""response"") but then when i try to make a submission, submission = data.frame(UserID = test$UserID, Probability1 = testPred), it says : ""Error in data.frame(UserID = test$UserID, Probability1 = testPred) : arguments imply differing number of rows: 1155, 3935""",0,None,2,Wed Apr 23 2014 10:28:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7831,/competitions/the-analytics-edge-mit-15-071x,1370th
/lassereedtz,What approach did you take,"Hey Now that the competition is over, what approaches did you use? And did you use the hierarchy in any smart ways? I started too late to get anything useful but I am quite interested in what approaches were used. best regards Lasse",0,None,10,Wed Apr 23 2014 11:44:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7832,/competitions/lshtc,None
/rafael5,Submission DOUBT,I have one doubt... maybe it is a little basic but anyway... Do I have to use test set (original one) or imputed test set (by mice) in the submission command line?,0,None,2,Wed Apr 23 2014 13:44:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7834,/competitions/the-analytics-edge-mit-15-071x,715th
/gabisu,ROCR currently supports only evaluation of binary classification tasks.,"Dear All, I'm trying to display the AUC score, but I get stuck with the following error message: ""ROCR currently supports only evaluation of binary classification tasks."" as I try to execute the following command: ROCRpred = prediction(testPred,as.numeric(orig_ts_imp$Q124742)) I think the problem is due to orig_ts_imp$Q124742 has YES / NO in it. How do I convert into numeric? I try the following: ROCRpred = prediction(testPred,as.numeric(orig_ts_imp$Q124742)) but R doesn't like it. Any clue to me? I have spent lots of time on this issue. ABCDE",0,None,1,Wed Apr 23 2014 14:27:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7835,/competitions/the-analytics-edge-mit-15-071x,770th
/ctsats,Cross-validation: the right and the wrong way,"Dear all, KrisChris has started a very interesting thread [Link]:http://www.kaggle.com/c/the-analytics-edge-mit-15-071x/forums/t/7804/gaming-the-auc-on-the-test-set, titled ""Gaming the AUC on the test set"". Others in the thread have provided links to a Kaggle blog post titled "" [Link]:http://blog.kaggle.com/2012/07/06/the-dangers-of-overfitting-psychopathy-post-mortem/"". I highly recommend reading both, and I would like to provide some additional suggestions and insight here. Regarding the Kaggle blog post, one should expect that cross-validation would offer some protection against such misshappens. And it should, indeed, if applied properly: as usually, the details are in the fine print; I quote from the post: ""as the competition went on, I began to use much more feature selection and preprocessing. However, I made the classic mistake in my cross-validation method by not including this in the cross-validation folds (for more on this mistake, see [Link]:http://www-stat.stanford.edu/~tibs/sta306b/cvwrong.pdf or section 7.10.2 in [Link]:http://www-stat.stanford.edu/~tibs/ElemStatLearn/)."" This is indeed a classic (and usually disastrous) mistake; to summarize the meaning (and since I sense that many of you use feature selection here), the essence is this: If you use feature selection, and you cross-validate in order to estimate your error, you should include the feature selection step in your CV procedure. There is a [Link]:https://www.youtube.com/watch?v=S06JpVoNaA0, part of the recent Statistical Learning MOOC by Hastie & Tibshirani, explaining this subtle topic. And subtle it is! Rob & Trevor point out that they frequently see this mistake in high-profile genomics papers (Tibshirani even shares a very interesting personal story on this mistake). So, keep up the good work, and beware of what exactly you cross-validate...",7,bronze,2,Wed Apr 23 2014 14:45:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7837,/competitions/the-analytics-edge-mit-15-071x,14th
/julesvanligtenberg,"Congratulations Jose, Sergey, Willem and Dmytrio!","Congratulations Jose on winning the final phase of Flight Quest 2.Congratulations Sergey, Willem and Dmytrio on getting the 2nd till 4th place!Obviously I am curious about approaches used. I am also curious to know if these are all crash-less results?",0,None,3,Wed Apr 23 2014 16:11:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7838,/competitions/flight2-final,27th
/pchionas,Submission goes red,"Hi everyone, I have built some models, all of them were read by Kaggle and without any problem. All the sudden, I add some variables on the same model and I get the following message: ERROR: The value '-0.0419492282483538' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 286, Column 5) ERROR: The value '-0.00322755888868098' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 288, Column 5) ERROR: The value '1.00040330986136' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 563, Column 6) ERROR: The value '1.04230615029688' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 857, Column 6) ERROR: The value '-0.00208860895712704' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 1162, Column 6). Any idea what this means? Thanks,",0,None,5,Wed Apr 23 2014 16:28:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7839,/competitions/the-analytics-edge-mit-15-071x,1514th
/candy2,[Help]handle empty value when clustering,"i was trying to convert all categorical variables(eg. Yes/No) to binary variables (0,1) and do a hierarchical cluster. Stuck with handling empty variables... What should they be converted to? Thanks!",0,None,1,Wed Apr 23 2014 16:32:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7840,/competitions/the-analytics-edge-mit-15-071x,796th
/crowggle,Ensemble,Folks - coincidentally am reading a book on Predictive Analytics by Erik Siegel... (went on a back burner since last week...thx to the Kaggle competition)...am halfway through...There is a thing about ensemble models...It also describes how BellKor and Pragmatic Chaos/Big Chaos combined their models in the final weeks of submission for Netflix contest...It says ensemble model acts like a manager which selects/discards the predictions with some logic...in the end the AUC is improved..thats the point... I know we are not allowed to team up as per the rules here...but just curious to know how to combine the models in case I build 2 or three...also can we combine logistic with RF or CART? Am pretty newbie to the coding..so while I understood the concept I have no idea how it can be done in R...Any pointers would be much appreciated... Thanks to all of u awesome participants...,0,None,9,Wed Apr 23 2014 16:44:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7841,/competitions/the-analytics-edge-mit-15-071x,184th
/jackstat,What is the point?  Principle of parsimony.,"The test file has 55,716 unique IDs. With the simplest model (use the latest customer plan) you can predict 29,971 correctly (.53793). The top score predicts 30,282 correctly (.54350). It seems like there is little to go on here beyond customer's latest plan. Maybe a lot of luck?",0,None,5,Thu Apr 24 2014 02:38:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7843,/competitions/allstate-purchase-prediction-challenge,638th
/subratac,Negative weekly sales in training,I noticed -ve values for weekly sales. Hope I am not reading the data wrong. It is possible for weekly_sales to be -ve for a store+dept+date combination if there the returns exceeded the sales for that dept. Just making sure,0,None,1,Thu Apr 24 2014 05:22:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7844,/competitions/walmart-recruiting-store-sales-forecasting,544th
/yzhao0527,Cross Validation fails to evaluate the model,"Hi All, I am wondering how you guys evaluate the model performance? I test a few models with features discussed so far on this forum (has bought category within 30 days of the offer purchase). Random Forest has the highest 10-fold cross validation score, but its score on the test set is the lowest among others such as logistic regression and gbm. Anyone experiencing the same? hopefully no so I just need to double check my code. I understand the training and the testing sets have some fundamental difference. Just wondering what's the best strategy to evaluate model performance in this case? Best Regards, Y",0,None,9,Thu Apr 24 2014 05:56:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7845,/competitions/acquire-valued-shoppers-challenge,371st
/chriscos,Validity of the training data?,"I'm looking at the training data and the way it is scored and I am finding some peculiarities. For example: 117 4 A positively thrilling combination of ethnography and all the intrigue , betrayal , deceit and murder of a Shakespearean tragedy or a juicy soap opera . 3118 4 A positively thrilling combination of ethnography and all the intrigue , betrayal , deceit and murder of a Shakespearean tragedy or a juicy soap opera 4 Two identical sentence except for a period at the end of 117-4. One is scored a 3, and the second (118-4, without the period) is scored a 4. A little later on in the training data and the opposite occurs: 177 6 rooted in a sincere performance by the title character undergoing midlife crisis . 4178 6 rooted in a sincere performance by the title character undergoing midlife crisis 3 The sentence without the period is scored lower this time. There are multiple irregularities like this in the training data.",1,None,5,Thu Apr 24 2014 07:24:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7846,/competitions/sentiment-analysis-on-movie-reviews,None
/mailtosuka,purpose of network position file,"Hi, Can anyone explain the purpose of network position file ""P"" in the data set? Is there any local neighborhood structure between the neurons, and does this data file ""P"" provides this relationship? - Karthik.",0,None,3,Thu Apr 24 2014 07:28:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7847,/competitions/connectomics,None
/maybe2,proportion of public test vs. private test,"I'm wondering what's the proportion of public test vs. private test. If you know sth about it, please tell me. Thanks.",0,None,3,Thu Apr 24 2014 07:33:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7848,/competitions/acquire-valued-shoppers-challenge,788th
/mohitsinha1,Is the top of the leaderboard overfitting ?,One would wonder if the top of the leader board is over fitting? Just a thought.,0,None,1,Thu Apr 24 2014 07:41:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7849,/competitions/the-analytics-edge-mit-15-071x,476th
/nnaorin19,auc 0.75,how you can tune to 0.75..any hints please..i can't seem to go beyond 0.748..thanks,0,None,6,Thu Apr 24 2014 11:20:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7850,/competitions/the-analytics-edge-mit-15-071x,635th
/shayankhan,NAs predicted with randomForest model,"testPred=predict(model,newdata=test,type=""prob"")[,2] on executing the above command, it prints out the following errorError in predict.randomForest(model, newdata = test, type = ""prob"") :'prob' or 'vote' not meaningful for regression",0,None,5,Thu Apr 24 2014 14:08:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7851,/competitions/the-analytics-edge-mit-15-071x,87th
/piotrw,AUC distribution :),,2,bronze,4,Thu Apr 24 2014 18:56:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7860,/competitions/the-analytics-edge-mit-15-071x,108th
/abstractuser,Missing weekly sales for some departments,"There are some weeks for which sales are missing for a subset of departments within a store. Should we treat them as missing data, OR does that mean there were no sales (Zero) for that department during the week in question? Thanks,",0,None,1,Thu Apr 24 2014 22:48:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7864,/competitions/walmart-recruiting-store-sales-forecasting,None
/rafaelpiresm,"The ""X"" Column on train/test set","If anyone is saving the train or test set on hard disk, then reading it later, pay attention: this may produces a column with row id, and, obviously, is killing me! =] I´m very, veeeeeeeeeeeery noob in R! =]",0,None,3,Fri Apr 25 2014 07:33:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7866,/competitions/the-analytics-edge-mit-15-071x,206th
/benjikok,Non-Positive Prices and Target Window Length,"Hi All, Can anyone perhaps offer clarity on the following questions: There are many products with negative prices. The description says that negative quantities represent returned items, but there are cases where the quantities are positive and the price is negative. Does anyone know how to interpret this? How long is the outcome window considered when calculating the target that's being predicted? In other words, was the consumer given for example 3 months to be a return customer and be flagged as such in the data. Thanks in advance.... Benji",0,None,2,Fri Apr 25 2014 09:39:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7867,/competitions/acquire-valued-shoppers-challenge,503rd
/henryfung,newbie's question,"I submited the ""sampleSubmission.csv"" file,the score is 0.5 .Is 0.5 the auc?how is it computed according to the file i submited?",0,None,6,Fri Apr 25 2014 16:50:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7869,/competitions/acquire-valued-shoppers-challenge,871st
/naterator,Presenation of Data,EDIT: Ok well i think i may have answered this by re reading the terms. Basically just wanted to know how the winner needs to present the data and method achieved. And if there needs to be a fully functional model and or just a piece meal of procedures that led to the results. Thanks.,0,None,2,Fri Apr 25 2014 20:36:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7871,/competitions/allstate-purchase-prediction-challenge,1266th
/tovtov,Question on Chronology,Can any date in transations be later than offerdate for the same id? The reason I am asking is trying to see whether we need to determine any of the transactions that are potential responses to the offer.,0,None,1,Fri Apr 25 2014 20:52:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7872,/competitions/acquire-valued-shoppers-challenge,None
/hkreeves,Ensembling 10 logistic regression models,"There was an interesting topic here yesterday on [Link]:https://www.kaggle.com/c/the-analytics-edge-mit-15-071x/forums/t/7841/ensemble. I have planned to do it for long, and today I carried it out eventually. Just put it ahead: my ensembled result did not lift my rank as I've expected. However, I would like to share my thoughts and my method, hoping to inspire discussions and get feedback. The building blocks of my ensemble are logistic regressions with ridge penalty. It is a variant of general logistic regression, which aims to fight against overfitting by adding a regularization term. In R, it is done using {glmnet} with two parameters to specify: alpha (=0, pure ridge penalty) and lambda (coefficient of the penalty). The best parameter lambda is found by cross validation using {caret}. My 10 models were generated based on variable selection. I computed the variable importance using randomForest and then ordered variables according to their importance. For model 1, I only fed into my logistic regression the top 10 importance variables; next, top 20 variables were selected to train model 2; next, top 30 variables for model 3, and so on. In such a way I gather a collection of 10 caret objects, each being a logistic regression with varing number of dependent variables and its best tuned lambda. For the blending part, a package called ""caretEnsemble"" was used to linearly combining the models. Here is a [Link]:https://gist.github.com/zachmayer/5179418 on how to use caretEnsemble(). Simply reusing the cv partitions from my caret training (all caret models should have the identical sampling), it calculated the weight of each model based on linear regression or greedy optimization. Cross validation indicated an improvement on AUC for my ensemble over each of the single models. It was somehow expected since the final linear combination added extra degrees of freedom to the overall model. But what disappointed me a bit was that, the submission was merely at par with my best single logistic regression. It seems like my ensembling does not offer much power on reducing the variance and hereby improving the generalization. Does anyone have comments or suggestions on my method? You are very welcomed to share them.",2,None,3,Fri Apr 25 2014 22:06:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7874,/competitions/the-analytics-edge-mit-15-071x,485th
/seanmortazavi,The Python team (at Microsoft) wants your input on Data Science tools,"(was referred here from reddit/r/bigdata) Hi Kaggle - we're a few engineers (not marketers!) that work on Python Tools for Visual Studio (http://pytools.codeplex.com). It's a free & OSS plug-in that turns VS into a decent Python IDE. It has some nice features like mixed-mode Python/C++ debugging, debugging on Linux from Visual Studio and IPython integration. Some of our users (including BioPython users) have been encouraging us to enhance PTVS and add support for some ""Data Science"" focused features &scenarios. We'd *love* to get your input regarding your current stack, workflow and pain points before taking the next steps. It does not matter if you use Windows, Visual Studio, love/hate Microsoft - we'd just love to understand your environment a bit better especially if you use tools like Excel, R, Matlab, Mathematica, numpy, scipy, Pandas, ... As a thank you, 50 people will be randomly selected to receive a $5 Starbucks Coffee card! Here is a link to the survey which should take about 2 minutes to complete. https://www.surveymonkey.com/s/VSForDataScience If you know others that might be interested in taking this survey, *please* forward it to them - much appreciated. PS - this is my first post - if it's inappropriate, please lmk and I'll delete. thx.",1,bronze,3,Sat Apr 26 2014 01:21:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7876,None,None
/richseiter,Alluvial plot of three questions and happiness,"This plot is too cluttered, but I still think it is an interesting look at how three of the important (to happiness, apparently) questions interact. Here are some references if you'd like to do something similar: http://bc.bojanorama.pl/2014/03/alluvial-diagrams/ https://github.com/mbojan/alluvial http://stats.stackexchange.com/questions/12029/is-it-possible-to-create-parallel-sets-plot-using-r Or I can post R code if that is appropriate. Here is a nongraphical attempt which I think casts the cluttered plot in a better light. Sorry about the formatting. If you are interested just run a similar command in R. > table(dat[,c(""Q118237"", ""Q107869"", ""Q101162"", ""Happy"")]) , , Q101162 = , Happy = 0 Q107869Q118237 No Yes 197 67 23 No 41 28 21 Yes 143 50 36 , , Q101162 = Optimist, Happy = 0 Q107869Q118237 No Yes 42 42 33 No 24 92 140 Yes 33 144 120 , , Q101162 = Pessimist, Happy = 0 Q107869Q118237 No Yes 53 71 26 No 19 109 83 Yes 36 228 114 , , Q101162 = , Happy = 1 Q107869Q118237 No Yes 241 46 77 No 137 41 81 Yes 104 27 21 , , Q101162 = Optimist, Happy = 1 Q107869Q118237 No Yes 106 55 96 No 84 198 460 Yes 50 109 193 , , Q101162 = Pessimist, Happy = 1 Q107869Q118237 No Yes 32 14 19 No 18 87 168 Yes 15 60 65",4,bronze,3,Sat Apr 26 2014 03:16:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7878,/competitions/the-analytics-edge-mit-15-071x,69th
/saikumarallaka,i have a question (Raise Hand),Did any one use the past quotes to build their model. I do not know how to use the past quotes provided for each customer to predict what they settle with. What is the best way to deal with them?,0,None,2,Sat Apr 26 2014 06:49:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7880,/competitions/allstate-purchase-prediction-challenge,None
/twinkletoes0,Imputation or linear regression?,Most people have imputed at least the YOB field. I don't like using something which is doing things for reasons I don't why and there is no way of measuring if it is imputing well or not. Just as a point of curiosity I tried combining the test and train sets together and imputing the missing Happy variable - it was scored as an AUC of 0.58 on Kaggle. Thus I am not convinced impute is worth using - assuming that this is a good measure I was wondering if using linear regression might be a way of filling in the missing YOB values? I don't see it would be any worse that impute - is there any philosophical or modelling reason not to do it?,0,None,1,Sat Apr 26 2014 07:54:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7881,/competitions/the-analytics-edge-mit-15-071x,533rd
/domcastro,R FREAD for large files,"Just discovered R package data.table for reading in large files. If read.csv is taking too long: install.packages(""data.table"") library(data.table) train <- fread(""train.csv"") train<-as.data.frame(train) Took about 5 minutes compared to 2 hours with read.csv.",29,gold,10,Sat Apr 26 2014 16:44:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7883,/competitions/acquire-valued-shoppers-challenge,2nd
/ana4min,Action potentials vs EPSPs,"Does fluorescence also increase is the membrane is depolarised, even if an action potential is not fired?",0,None,1,Sat Apr 26 2014 17:42:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7884,/competitions/connectomics,None
/arunkumarpanda,Difference Between AUC and Kaggle score and Course evaluation,"Hi, When we calculate a model in the test set drawn from train dataset it gives a auc > 0.75 However, when I loaded my results on Kaggle, the score on Kaggle turned out to be 0.71 We shall be evaluated on which score? I thought there was a cutoff of 0.75 This cutoff shall be implemented based on which score?? Thanks for the patient read.",0,None,2,Sat Apr 26 2014 18:10:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7885,/competitions/the-analytics-edge-mit-15-071x,622nd
/loganp,Applying the model on test set gives errors,"Hope someone could help me with my problem. Here is what I'm doing ======================================================= train = read.csv(""train.csv"") # Multiple imputation simple = train simple$Happy=NULL imputed = complete(mice(simple))imputed$Happy = train$Happytrain = imputed #Fill in the missing valuesfor (i in names(train)) { levels(train[,i]) <- c(levels(train[,i]), ""Skipped"") train[,i][train[,i] == ''] <- 'Skipped' train[,i] = factor(train[,i])} # Do the same for test set as welltest = read.csv(""test.csv"") # Multiple imputationimputed = complete(mice(test))test = imputed #Handle the missing valuesfor (i in names(test)) { levels(test[,i]) <- c(levels(test[,i]), ""Skipped"") test[,i][test[,i] == ''] <- 'Skipped' test[,i] = factor(test[,i])} #Add Happy Column with dummy values test$Happy = 1 #build the model model1 = glm(Happy ~ . - UserID, data=train, family=binomial) #apply the emodel pred1 = predict(model1, type=""response"") pred2 = predict(model1, newdata=test, type=""response"") ======================================================= the statement directly above gives the following error: Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor UserID has new levels 10, 1001, 1009, 101, 1011, 1012, 1013, 1014, 1028, 1032, 1033, 1037, 1051, 1052, 1055, 1061, 1067, 107, 1071, 1073, 1075, 1077, 1078, 1081, 1082, 1088, 109, 1094, 1100, 1102, 1103, 1112, 1114, 1117, 1118, 1127, 113, 1130, 1131, 1132, 1136, 1139, 1151, 1152, 1153, 1155, 1158, 116, 1161, 1165, 1166, 1172, 1173, 1177, 1178, 1179, 118, 1180, 1181, 1182, 1187, 119, 1190, 1194, 1197, 1198, 120, 1203, 1206, 1208, 1212, 1214, 1217, 1220, 1225, 1232, 1234, 1241, 1247, 1250, 1251, 1255, 1256, 126, 1260, 1261, 1266, 1270, 1272, 1274, 1288, 1290, 1291, 1294, 1295, 1297, 1300, 1303, 1306, 131, 1311, 1315, 1320, 1324, 1326, 1335, 1337, 1339, 134, 1343, 1345, 1348, 135, 1350, 1355, 1357, 1366, 137, 1371, 1373, 1376, 1386, 1387, 139, 1394, 1397, 14, 140, 1400, 1403, 1405, 1409, 141, 1412, 1413, 1416, 142, 1420, 1421, 1423, 1440, 1443, 1445, 1449, 1451, 1452, 1457, 1460, 1463, 1464, 1466, 1468, 1469, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1482, 1485, 1493 The UserIDs will obviousbly be different. What am doing wrong?",0,None,5,Sat Apr 26 2014 23:15:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7888,/competitions/the-analytics-edge-mit-15-071x,1299th
/genomeanalystsorg,Questions CSV,"Not sure if someone else has done this already or not (this forum is apparently only searchable via Google and since this is a private competition, I guess none of the forum posts have been indexed?), but I was kind-of annoyed that the data files did not include an easily parsable file of the questions themselves, so I made one myself and I'm posting it here in case anyone else finds it helpful. In the attached two CSV files, character set is Unicode (UTF-8), field delimiter was comma (,) and text delimiter was either single-quote (') in one file or double-quote ("") in the other. I created these by manually copying and pasting the columns from the Questions.pdf into a spreadsheet in LibreOffice Calc. I instructed the export filter to ""Save cell content as shown"" and ""Quote all text cells"". There may be some interaction between the quotes within some questions (eg. ""go-to"" and ""you're"") and the quotes inserted by LibreOffice Calc. I haven't tried importing this into R yet, so your mileage may vary, but I hope this helps some others. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/43112/1221/questions.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/43112/1222/questions.csv",1,bronze,1,Sun Apr 27 2014 03:00:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7889,/competitions/the-analytics-edge-mit-15-071x,1062nd
/gabrielahromis,node size in random forest,"Why do I get better results with nodesize 50, than with nodesize 1? From everything I read about RF, smaller node size should give better results (although not significantly better). Any thoughts?",0,None,4,Sun Apr 27 2014 04:04:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7890,/competitions/the-analytics-edge-mit-15-071x,187th
/rajeevkumar2001,Submission file error - arguments imply differing number of rows,"Hi, While generating submission file, i am getting below error submission = data.frame(UserID = test7$UserID, Probability1 = predictTest7)Error in data.frame(UserID = test7$UserID, Probability1 = predictTest7) : arguments imply differing number of rows: 0, 1980 my preditTest predictTest7 = predict(train4Log, type=""response"", newdata=test7) train4Log = glm(Happy~ ., data = train4, family=binomial) Please help me out Regards, Rajeev",0,None,1,Sun Apr 27 2014 05:41:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7891,/competitions/the-analytics-edge-mit-15-071x,1126th
/abhishek,CV vs LB,"Hi guys, How off is your Cross Validation score from the Leader Board score?",0,None,7,Sun Apr 27 2014 19:14:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7897,/competitions/the-analytics-edge-mit-15-071x,81st
/paddy2,Guidance please,"Regret if my post is causing any inconvenience to you all eventhough the same kind of questions by me may be posted earlier by someone else. I have joined the competition today after a hectic work. On going through the data, I wanted you fellow friends' guidance on how to start working on the data set. There are two data sets given i) Train and ii) Test 1) Do I have to work only on the train data set i.e split the train data into a train subset ans test subset. Build a model on the train subset and then test on the test subset. If that is the case, I am on the right path. But when I do my submission, I get a message that my submission doesnot have 1980 rows (which the test data set has). Can someone, please help what the actual working process to be? If my question is a violating the rules, that such kind of question should not be asked, please ignore my question. But, I wanted to make it clear that I wanted the steps how to proceed on the data sets provided on the competition. Once I get the go-on process, I will able to proceed without any confusion. Please reply at the earliest as the due date is only 8 days from now. Thanks for all your guidances in advance.",0,None,2,Sun Apr 27 2014 19:23:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7898,/competitions/the-analytics-edge-mit-15-071x,137th
/tbuva02,Cor function,"Hi there R geniuses, Can someone explain to me why the cor(data.frame) function doesn't work on this data set? I keep getting error that says ""x must be numeric"" but i don't understand what that means. Any help is appreciated! Thanks! :)",0,None,5,Sun Apr 27 2014 19:32:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7900,/competitions/the-analytics-edge-mit-15-071x,835th
/coffee2,Merging several classifiers - does it make sense?,"Hi, all! I have a bit theoretical question - imaging, you trained several classifiers of the same type on the several datasets, that are in some sense close to one another (for example, they have intersection, or the ranges of parameters, that are being estimated, are close to each other) Does it make any sense to merge the parameters of these classifiers and in this way to build a new classifier? Does something like this (a method to derive a new classifier from aset of already existing classifiers) exist already?",0,None,7,Sun Apr 27 2014 20:40:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7901,None,None
/mpizosdimitris,Advice for Thesis,Hey there! New to Kaggle. Seems a really interesting community. So.. I am studing Wind Energy in Technical University of Denmark and I am trying to find my Master Thesis .I am really interested to have a theme involving wind energy with Machine learning techniques. Anyone has an advice or experience on that or what is futuring? I got some ideas but any info would help me. Thank u Dimitris,0,None,2,Mon Apr 28 2014 14:45:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7905,None,None
/robrob,Any Improvement Using Clustering?,"Just noticed a separate thread ""Things that didn't work for me..."" Has anyone obtained performance gains using either hierarchical or kmeans clustering? I'm able to get both approaches to provide clusters, but unable to obtain improved prediction performance using them. Just courous.",0,None,6,Mon Apr 28 2014 15:59:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7906,/competitions/the-analytics-edge-mit-15-071x,1147th
/donggeun,Please help maked submission file. (and one more),"I type this two lines. submission = data.frame(UserID = test$UserID, Probability1 = testPred) write.csv(submission, submission.csv, row.names=FALSE) But, It should reveal, Error in write.table(submission, submission.csv, row.names = FALSE, col.names = TRUE, : object 'submission.csv' not found like this. I already made submission file in my directory. (acutally change name 'sampleSubmission.csv' to 'submission.csv'. How can I make it? And one more question, descriptions said use AUC, but How can I use AUC?? Such as, I already made it, 'testPred' use rpart or linear regression model. but, If I make AUC, I should make Prediction first. But, Independent variable 'Happy' isn't in 'test'. So if 'ROCR = prediction(testpred, test$Happy)' is impossible. also, ""as.numeric(performance(ROCR, ""auc"")@y.values)"" is impossible.. too. I don't know how can I make it AUC. :( Please help me and thanks for takes time to read!! GOOD LUCK Every bodies~!!",0,None,2,Mon Apr 28 2014 16:43:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7907,/competitions/the-analytics-edge-mit-15-071x,1024th
/epikhina,"Help, please","What is the task of the competition? I learned the files, the data, but I did not see any task. I have to formulate the research question on my own?",0,None,1,Mon Apr 28 2014 19:05:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7909,/competitions/the-analytics-edge-mit-15-071x,964th
/trueconsultant0,First day of competition!,"Hello Peers, I am starting my competition now. I have already downloaded the data. What exactly I have to do? Which is the data frame? Can I use any model? Do I have to calculate AUC? Please help!",0,None,8,Mon Apr 28 2014 20:50:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7910,/competitions/the-analytics-edge-mit-15-071x,1616th
/tsgpeeps,YOB question,"Let's say I think age is related to happiness, is it possible to convert the year of birth into a factor where people placed into 5 or 10 year age brackets, like most surveys do. It seems to me this is more relevant then the year someone was born. Does this make sense and is it possible to do? Also I have one training set thru the complete(mice(....)), but also have a training set that I didn't run threw that, but just removed the entries with NA values and still came up with over 600 entries, and from what I can tell this is still a pretty good sample size. Does it matter which training set I use? Still pretty confused about the whole thing, but at least I have tried and entered a couple of times. Thanks for the help.",0,None,1,Tue Apr 29 2014 01:25:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7913,/competitions/the-analytics-edge-mit-15-071x,862nd
/del=02057c828c096518,Informative Channels?,"The paper posted on home page shows a chart where it says something to the effect of some channels being more informative in discriminating the stimulus. I think it said channel 170. Based on the 2D layout, can we get the list of these channels? Has anybody tried using only those channels as features?",0,None,1,Tue Apr 29 2014 02:19:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7914,/competitions/decoding-the-human-brain,110th
/del=02057c828c096518,what is the goal?,"Hi everyone, I just found out about the challenge. Certainly, an interesting problem! So my question is, it appears that they are already some existing algorithms that perform reasonably well (~90% accuracy). Seeing that we are dealing with a 1000 neuron network, I am wondering is this challenge about implementing these algorithms in an efficient manner (GPUs, cluster computing) or about coming up with new algorithms? If the latter was the case, why such a large network? It seems I can't even run this stuff on my laptop and I have no access to cluster computing.",0,None,6,Tue Apr 29 2014 02:48:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7915,/competitions/connectomics,None
/hamsterham,Why need to choose two submissions for the final submissions?,"Hi, I would like to ask why is there a need/option to choose 2 submissions from all my submissions for the final evaluations? Why doesn't the system takes the best 'auc' score submission and use it as the final submission? Thanks",0,None,2,Tue Apr 29 2014 06:56:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7918,/competitions/the-analytics-edge-mit-15-071x,807th
/mkia83,Useful transformations,Here you can discuss about useful transformation on MEG data to extract higher level patterns.,0,None,6,Tue Apr 29 2014 11:17:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7919,/competitions/decoding-the-human-brain,None
/crowggle,"""Yes"" = 1, ""No"" = -1 and some more transformations","Hello folks - Most of you who are new to R (like myself) had a question on variable scaling. After a bit of research I found some useful tricks...just sharing with you. All experts please let me know if there is a better way to do this. As always many thanks to all of your comments which make our discussion lively and informative. 1. train = read.csv( ""train.csv"", na.strings=c(""NA"",""""), stringsAsFactors=FALSE)Read the csv with the na.strings and strings as factors (which will pull in all the character responses as text only rather than factors...this is required for subsequent operations...We will convert the text into factor at step 4) 2. train[,9:109][train[,9:109] == ""Yes""] = 1This will convert all the ""Yes""s from column numbers 9 through 109 into 1. What we are asking R here is to scan column index 9:109 and where ever there is a string ""Yes""...convert it into 1. Run a similar code for ""No"" and NAs as per the values you may have in your data. 3. At the end of step 2 you should have transformed more than 80% of the data. What's left now are special strings which have unique responses...For these we can use ifelse or another trick as shown below (I have renamed my Q variables...Please check the variable name in your data) - train$Pub_Pri_School = ifelse(train$Pub_Pri_School==""Private"",1,ifelse(train$Pub_Pri_School==""Public"",-1,train$Pub_Pri_School))Ortrain$Science_or_Art[train$Science_or_Art==""Art""]=1;train$Science_or_Art[train$Science_or_Art==""Science""]=-1; 4. Now we will convert characters into factors in all of the train data.Factind = sapply(train, is.character)train[Factind] = lapply(train[Factind], factor) 5. After I performed scaling on my training and testing data separately...it dawned on me that I could have combined the datasets into one with a new indicator variable (to id train Vs test) & then performed the scaling op all at once. Later on I could have separated the data into train & test with the indicator variable. Well..you can give it a shot and save some time. Hope this helps. Thanks.",7,bronze,9,Tue Apr 29 2014 12:34:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7921,/competitions/the-analytics-edge-mit-15-071x,184th
/domcastro,New Entrants after deadline?,"Hi, There's been 5 new entrants today, however according to the Timeline, no new entrants are allowed. thanks",0,None,2,Tue Apr 29 2014 14:38:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7923,/competitions/walmart-recruiting-store-sales-forecasting,5th
/anshul,number of submissions per day,any plan to increase maximum number of submission per day? or somehow make 35 submission per week but any day of the week?,1,bronze,3,Wed Apr 30 2014 03:26:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7928,/competitions/allstate-purchase-prediction-challenge,None
/erichopkins,Random Forest takes FOREVER,"which is frustrating. That's all I've got for now... Edit: I discovered that Happy was being treated as an int. That's dumb. Now that I made it a factor, all is well :)",0,None,1,Wed Apr 30 2014 06:20:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7929,/competitions/the-analytics-edge-mit-15-071x,621st
/zhaogang,identifier for item,"hi admin and all, I have think about the question for a while, is there some feature combination can be used to identify an item? Is the category-brand-company can be seen as the key for item? Moreover, is the value in category and brand are unique cross companies or only within a company. In another word, for example for brand value 1 indicates 'pure water' for all companies or 1 is brand as 'pure water' for company A while company B can use 1 to identify 'toy'? thx..",0,None,2,Wed Apr 30 2014 07:56:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7933,/competitions/acquire-valued-shoppers-challenge,6th
/nikhilborker,Exhausted now,"I seem to be in a mental block now.Have tried the following Approach Converted all factors to their respective numeric levels.Converted level 1("""") to NA and 2 to 0 and 3 to 1 so that i have only 0s and 1s. Imputed missing values using MICE Removed some really random questions,reducing my total questions to 63 Ran a logistic regression and then improved it using the step function This gave me around 30 odd imp questions plus some of the other variables Used this model for my final submission giving me by best auc of 71.9. This happened right at the second day .Since then I have tried different methods like combining levels,changing the scaling of factors,using different techniques like CART,Random Forests,Clustering to try to improve my result but to no avail. I feel I am doing something seriously wrong considering more than half of the people have crossed 73. Any suggestions for improvement?",0,None,7,Wed Apr 30 2014 08:35:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7934,/competitions/the-analytics-edge-mit-15-071x,282nd
/psdhillon,"gbm predict error on using type=""prob""","i have used train on my gbm model to optimize it and managed to make model. but when i use predict on my model, it give me below error Error in `[.data.frame`(out, , obsLevels, drop = FALSE) : undefined columns selected i have used below command which gave me above error predict(gbmFit2, newdata = head(myImpTest), type = ""prob"") if i dont use type=""prob"". it wont give an error but it gives level values 1 or 2 plz guide me",0,None,1,Wed Apr 30 2014 11:15:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7936,/competitions/the-analytics-edge-mit-15-071x,535th
/butlermh,Dealing with the missing values,"From the lectures I am sure most people are familiar with using MICE to perform data imputation. However it took me a while to understand the implications for this data set. With the factor variables, when values are missing, it does not mark them as NA. Instead it makes three or more factors e.g. an empty factor """", as ""No"", ""Yes"". So when I was applying imputation using MICE, as others have noted, it was only imputing the YOB variable. The values generated by MICE can even be in the future! To guard against this, I tried running MICE several times and combining the results into a training set to reflect the uncertain in the imputed values. This improved performance slightly. However the biggest performance increase came from dropping the variable rather than imputing it. Therefore today I have been playing with two approaches, neither of which worked: first I wondered if I could improve performance further by dropping other variables with a lot of missing values, so I used apply to determine the number of missing values in each column. However most columns have a fairly high number of missing values, around 1100, so none of them stand out as candidates for removal. Next I wondered if it would help if I re-coded all the missing values as NA, then ran imputation multiple times. However the imputation step failed. I realised I needed to recode the factors because I still had the empty factors but not examples, but that did not solve the problem so imputation failed. Has anyone get any advice on the best way to deal with the missing values?",0,None,12,Wed Apr 30 2014 13:33:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7938,/competitions/the-analytics-edge-mit-15-071x,267th
/alkhwarizmi,Scilab license,Is the Scilab license considered open source for the purposes of this competition? It is subject to a CeCILL license.,0,None,1,Wed Apr 30 2014 15:57:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7939,/competitions/decoding-the-human-brain,None
/genomeanalystsorg,Following example of quality.csv from Week 3,"Hi folks. So I'm using the subject example to guide my operations on this data set and I'm finding that it seems to be a poor fit. For example, she did all these steps: quality = read.csv(""quality.csv"")library(caTools)set.seed(88)split = sample.split(quality$PoorCare, SplitRatio = 0.75)qualityTrain = subset(quality, split == TRUE)qualityTest = subset(quality, split == FALSE)QualityLog = glm(PoorCare ~ OfficeVisits + Narcotics, data=qualityTrain, family=binomial)predictTrain = predict(QualityLog, type=""response"")summary(predictTrain)tapply(predictTrain, qualityTrain$PoorCare, mean) And I successfully did all the same steps to our training set (including splitting it which I know may be a bad move, but as something of a noob at this, I'm just trying to take a very basic approach here initially) except for the last one which fails with: > tapply(predictHappyTrainAll, happyTrain$Happy, mean)Error in tapply(predictHappyTrainAll, happyTrain$Happy, mean) : arguments must have same length> length(predictHappyTrainAll)[1] 2950> length(happyTrain$Happy)[1] 3464> length(predictQualityTrain)[1] 99> length(qualityTrain$PoorCare)[1] 99 Can someone help me figure out why the predict step makes a vector with the same length of 99 for the quality data set but a much smaller (3464-2950=514 observations smaller) vector for my happy data set? If this question has been asked before then I apologize, but search seems to be broken for our competition. Thanks in advance for any thoughts.",0,None,5,Thu May 01 2014 07:51:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7952,/competitions/the-analytics-edge-mit-15-071x,1062nd
/eelkespaak,Manual steps allowed?,"I was wondering whether a manual step in the classification pipeline (e.g. manual identification of artifacts, channel selection) is allowed. Could anyone comment on this? (Of course this would happen without regard to the classification labels, as these are inaccessible for the test data.)",0,None,1,Thu May 01 2014 15:08:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7956,/competitions/decoding-the-human-brain,140th
/zhaomei,"why my score is ""pending""?","I submitted my file and get no response, I checked in my submission, its score is pending ! why?",0,None,2,Thu May 01 2014 16:00:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7957,/competitions/walmart-recruiting-store-sales-forecasting,21st
/ritaps,imputation error,"can someone explain to me why I am getting an error when I try to do imputation? > simple = train[c(""YOB"", ""Gender"", ""Income"", ""Party"",""votes"", ""EducationLevel"", ""HouseholdStatus"", ""Q119334"", ""Q118237"", ""Q116953"", ""Q115899"", ""Q107869"", ""Q102906"", ""Q102289"",""Q101162"")]> imputed = complete(mice(simple)) iter imp variable 1 1 1 2 1 3 1 4 1 5Error in `[.data.frame`(data, , jj) : undefined columns selected Thanks in advance for your help",0,None,3,Thu May 01 2014 17:15:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7959,/competitions/the-analytics-edge-mit-15-071x,870th
/boobarita,do we need to transform the YOB values that are NA in the test set ?,"I have 314 NA for YOB in the test set, I thought I should not alter anything in that file but i am having trouble with those NA when trying to submit; I get a 'could not parse NA into expected type of double'. So do we need to impute or replace with a specific value in the test as well ? Apologies if the question was asked before but I tried the search function in the forum which didn't return any result, I spent some time in the individual threads but was unsuccessful; thanks in advance for your help",0,None,6,Thu May 01 2014 21:14:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7963,/competitions/the-analytics-edge-mit-15-071x,127th
/boobarita,How to do cross-validation with random forests,"in the course, we saw how to use cross-validation to determine the cp parameter and determine the best tree; we didn't use this method with random forests, can anybody shed a light please? Thanks",0,None,1,Fri May 02 2014 00:17:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7965,/competitions/the-analytics-edge-mit-15-071x,127th
/genomeanalystsorg,Fixing predictions outside range of 0 to 1,"As some others have noted, some of my models give predictions outside the kaggle-required range of 0 to 1. How can I force predictions <0 to be 0 and predictions >1 to be 1?",0,None,2,Fri May 02 2014 06:19:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7966,/competitions/the-analytics-edge-mit-15-071x,1062nd
/tradewind,"SVM tuning, gamma, cost...","Hello, So far I am playing with the gamma and the cost to tune my SVM. Is there any kind of cross-validation or other parameters besides gamma and cost that can be used to tune SVM? Regards,",0,None,1,Fri May 02 2014 09:45:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7967,/competitions/the-analytics-edge-mit-15-071x,1412th
/epikhina,Problem with submission,"I have the problem with NA in the submission fule. Please, help how to get rid of them?",0,None,1,Fri May 02 2014 11:52:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7969,/competitions/the-analytics-edge-mit-15-071x,964th
/trentb,Is clustering discouraged?,"In theory, one could employ unsupervised techniques to cluster the data of a subject from the unlabeled testing set in a manner independent of the data from the subjects in the labeled training set. This approach increases in feasibility when considering only two classes. However, this does not seem to be what the Competition Administrator desires based on the description of the competition and the linked paper. It appears that the objective of the competition is to investigate methods for transferring a collection of decoding models developed on multiple subjects to new subjects. Is this a correct assessment? If so, would the Competition Administrator be less than satisfied with a clustering solution?",0,None,1,Fri May 02 2014 12:43:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7970,/competitions/decoding-the-human-brain,17th
/rafael5,Helping.. I got the idea but not enough knowledge in R,"Could someone help me here? I have my logic but don't know how to aply it in R. Lets try giving an example: For the variable ""Income"" we have 5 possible groups and also a 6th with """" values. I want to transform it in a vector. For example, if the groups' names were ""A"", ""B, ""C"", ""D"" and ""E"", so for a observation belonging to the group ""A"" its value should be ""(1,0,0,0,0)"", for a observation belonging to the group ""B"" its value should be ""(0,1,0,0,0)"", and so on... And for a empty observation its value should be ""(0,0,0,0,0)"". That's my idea, but I don't remeber/know how I can do it in R. I'm searching on the web, but it's becaming hard to find something understandable, cause this is my first time in R. I would thank if someone could help me, cause there are just 3 days left and I want to get some good score.",0,None,2,Fri May 02 2014 19:51:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7972,/competitions/the-analytics-edge-mit-15-071x,715th
/monikav,"Running for almost an hour imputed = complete(mice(train1,MaxNWts = 2000)) ","this is my first time with R :(.I am sure most of you have already crossed this step.I just want to know ,does it normally takes this long to finish. Any responses would be highly appreciated",0,None,5,Fri May 02 2014 20:17:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7973,/competitions/the-analytics-edge-mit-15-071x,1488th
/asmitjain,"Urgent : Replace blank space with a ""skip"" factor variable!","Hi Guys, I am first timer on R and was looking for a way to replace all the blank spaces in the provided dataframe with ""skip"". Please help me out. I need to follow my logic to submission :)",0,None,1,Fri May 02 2014 20:47:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7974,/competitions/the-analytics-edge-mit-15-071x,142nd
/mortalkolle,ERROR: Record 1749966 had 3 columns but expected 2.,"Hello I have followed the submission format provided on corresponding ChaLearn page, yet this error message keeps coming up! Of course, I did not type in the scores manually, so there appears to be no reason why that particular record would stand out in any way. What could be the issue here?",0,None,1,Sat May 03 2014 08:54:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7982,/competitions/connectomics,None
/tradewind,How do you calculate the final model?,"Hello, I am wondering... after the AUC is calculated via subsetting Train into training and testing sets, will you use the same model that has been obtained via Train training subset, or you will recalculate the successful model including also the Train testing subset? Regards,",0,None,2,Sat May 03 2014 09:15:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7983,/competitions/the-analytics-edge-mit-15-071x,1412th
/lateriser,How to extract keywords from a document?,"Hi Data Experts! I am a new learner here. I believe the best learning way of anything is to try something practical in hand. So, I started to make a document analyzer. My program will be designed to read a text doc and then it will tell what is this doc about. For example, if the document is about an animal (Cat, Dog etc) then my program will be able to say that, it's about 'Cat' or it's about 'Dog'. I think it's not a new problem and substantial work is already done in this field. Can anyone tell me how to start or what is the common guided way? What should I know before doing this? I have done the parsing stuff and I have got the parts of speech of each sentence (I used stanford's nlp project for this). But now I am stuck. I have a moderate programming skill with some statistical background. Thanks for your reply in advance.",0,None,1,Sat May 03 2014 13:51:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7986,None,None
/ashokskumar,Random forest and SVM cross validation,"I am trying to cross validate for random forest and SVM. Training processes complete after long run. When I use it on test set to predict, I am getting error. Error in data.frame(UserID = test$UserID, Probability1 = probs) : arguments imply differing number of rows: 1980, 0 Could you help to fix the error to cross validate for random forest and svm?",0,None,1,Sat May 03 2014 21:18:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7988,/competitions/the-analytics-edge-mit-15-071x,143rd
/abhinav186041,What is the number of Predictions is Greater than 1980,"Hi All, As per the submission guidelines:- # of PredictionsWe expect the solution file to have 1,980 predictions. What if I submit more predictions ?? Will that have a -ve affect on my score ? Or should i just open the csv file and delete the entries that are more than 1980.Kindly Suggest. Thanks in Advance.",0,None,1,Sat May 03 2014 21:31:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7989,/competitions/the-analytics-edge-mit-15-071x,1669th
/falrrema,"Changing levels within Factor Variables (Household, Income...)","Hello, I'am new to R programming and I've been struggling with the data trying to improve my predictions. It seems that, for example, all levels of HouseholdStatus can be re grouped in 2 levels, so as Income or others. I believe arranging the levels of this variables could help me understand and predict better results (it may that other levels introduces noise). The problem is I just don't know how to do it! I have only been able to isolate group by group: train$HouseholdStatus = as.numeric(train$HouseholdStatus) train$HouseholdStatus1 = train$HouseholdStatus == 1 Can anybody give me an advise?",0,None,4,Sat May 03 2014 22:47:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7990,/competitions/the-analytics-edge-mit-15-071x,341st
/luanjunyi,"After the finish date, how can I learn from other competitors? Will this forum continue to exist?","My sole intention to participate is to improve my ML skill. It seem the wrong competition so far since rarely anything is shared due to the rule. However, I wonder after the finish date, will this forum continue to exist? Will there be any place we can share our methods and learn from each other. I think lots of guys join it to learn rather than to get hired by Walmart. Anyone knows the cases for similar competitions? I suggest we create a mail group or Google group to discuss it after the competition is over.",3,bronze,3,Sun May 04 2014 04:07:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7991,/competitions/walmart-recruiting-store-sales-forecasting,50th
/larrylugo,A mega huge AUC or an useful model?,"I'm sure one of the RPART based model I got with an AUC of 0.568090034877364... doesn't have the best AUC. I'm pretty sure it won't be recognized with a prize. It doesn't really matter at al. The most important thing for me is that, after got my neurons fried during the competition, finally a model has sense. After the tree was analyzed, I could understand like an epiphany the following: (i) Married people, with or without childs, is happy. (i) If you are single, but like people, can be happy too. (iii) If you don't like people and think you are happy, the model has bad news: you really aren't. (iv) But, at last, if you are Right and additionally have an academic grade over the mean, you could be happy too. So, if you create a Super Model with a mega huge AUC, what is the value if only IBM Watson and a few genius on Earth (I don't know if its author is included in the short list of priviledge minds, by the way) could understand it? So, what's is the purpose of the competition: to break marks or to develop useful models? Great experience! P.S. My interpretation is NOT an spoiler, it's something like I remember from one of those late hours frying my neurons. In fact, it's a loud voice thinking. Good luck to all!",0,None,4,Sun May 04 2014 05:30:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7993,/competitions/the-analytics-edge-mit-15-071x,441st
/tianyuyu,Ridiculous result,"Hi there, This might be silly, but I cannot figure out the reason why it is happening, so I post it here to see whether anyone can shed some light on it. I just made a submission, and the score turned out to be an astronomical number: 426441749909534.00000... I have plotted my data and it did not appear to be so ridiculously wrong and even all-zeros benchmark scores only around 20000.",0,None,3,Sun May 04 2014 07:51:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7994,/competitions/walmart-recruiting-store-sales-forecasting,None
/tang2191563,How is the score computed?,The first one is 1. what does it mean? How is it computed?,0,None,3,Sun May 04 2014 11:31:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7995,/competitions/titanic,None
/abhinav186041,"cannot coerce class ""structure(""prediction"", package = ""ROCR"")"" to a data.frame","Can someone help me with the following error message:- cannot coerce class ""structure(""prediction"", package = ""ROCR"")"" to a data.frame I am getting this error while i am trying to make the submission file by the following command:- submission04 = data.frame(UserID = test$UserID, Probability1 = ROCRpred3) Any Help is appreciated :) Thanks",0,None,2,Sun May 04 2014 14:40:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7996,/competitions/the-analytics-edge-mit-15-071x,1669th
/mohandasayikara,Cross Validation - Error when running the predict function on Test dataset,"Did cross validation tr.control = trainControl(method = ""cv"", number = 10) called train function passing data, and parameters Extracted the tr$finalModel.to fModel Used the fModel to run predict function of training dataset, no errors predict(fModel , type=""response"") However it gives error when predict(fModel, type=""response"", newdata=test) This gives an error for the independent variables with factor variables. Error in eval(expr, envir, enclos) : object 'HouseholdStatusDomesticPartnerswithkids' not found Any suggestions? Thanks in adavance. MAK",0,None,1,Sun May 04 2014 17:10:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7998,/competitions/the-analytics-edge-mit-15-071x,329th
/monikav,Independent variables used in logistic regression model,"Guys ,I have created glm model with 0.71 AUC,but unable to improve this AUC. Could you please share variables used in your respective model, Would be a great help! P.S: Had used all significant variables. Regards, Monika V",0,None,2,Sun May 04 2014 21:05:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/7999,/competitions/the-analytics-edge-mit-15-071x,1488th
/triskelion,Dataset labeling is an anomaly,"I am pretty sure the labeling of the test set went wrong somewhere. Is this part of the competition? Manual spam fighting by inspecting the test set and predicting with very rigid rules like: 'if ""Viagra"" in email' set will still yield a lower score. More natural algorithms also fail or produce near random chance results. A new benchmark would be to set all predictions to '1'. This will get you my score. According to my calculations the distribution between ham and spam is about 68.5% (my score) and 31.5%. So one has to predict a 0 around 31.5% of the time to increase the score. But like said, even when writing very strict rules to catch about 40 definite spam emails and labeling them 0 lowers your score. I tried to other way too, just to be sure: predict 0 for about 20 definitive ham emails, the rest 1. And it lowers the score. So I conclude the labeling went wrong somewhere.",0,None,4,Sun May 04 2014 22:24:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8000,/competitions/adcg-ss14-challenge-02-spam-mails-detection,1st
/matthew3,md5 hash of transactions,"Seem to keep on getting something funny with the file. I am Do these hashes look right to anyone else? MD5 (transactions.gz) = 5da5d6713f6c088f8bf2c527a656a97bgzip -d transactions.gz md5 transactionsMD5 (transactions) = cacb0036bf5eb41926bfb2a2be40065d Whenever I try to bulk import it into Postgres, I am getting some lines garbled.",0,None,3,Mon May 05 2014 02:58:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8001,/competitions/acquire-valued-shoppers-challenge,None
/prithwirajmukherjee,newbie q: what are benchmarks?,i am a newbie to kaggle. i was wondering what the benchmarks on the leaderboard mean. e.g. Prior (Brand & Company & Category) Benchmark 0.56619 are they provided by the organizer or a contestant?,0,None,1,Mon May 05 2014 16:13:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8007,/competitions/acquire-valued-shoppers-challenge,820th
/sagredo,And now... what's next?,"Dear participants, the competition is strenuous until the very end! Congratulations to the future winners (we will know them in few hours) but also to the many challengers that were able to outperform the provided benchmarks, with strategies which I am very curious to discover if you will decide to release them. As you know, we will enter now in the post-challenge analytics phase. Details will come soon. However, I start now with a survey. We will provide at least three result dissemination possibilities, which we have to organize soon and I will be happy receiving your feedback (you can even e-mail me directly at demian.battaglia@univ-amu.fr) Option 1: we have been assigned some time for presenting our results at WCCI 2014 in Beijing (http://www.ieee-wcci2014.org). However to proceed to organize this parallel session in more detail I would like to have an estimate of the number of persons interested to participate (and present). Registration to WCCI would be necessary, but communication would be possible even if abstract have not been sent, given the challenge timeline. This is a not a full workshop, just a short session. It will be therefore difficult to host too many interventions. But the location and the conference are great. Option 2: our official dedicated workshop at ECML Nancy (http://www.ecmlpkdd2014.org). You will need there to submit an abstract and the best contributions will be selected. Important dates: o Paper submission: June 20, 2014 o Notification of acceptance: July 05, 2014 o Camera-ready: July 25, 2014 o ECML Workshop: September 15 or 19, 2014 Option 3: review publication. I would be really interested in setting up a high visibility full-fledged paper which systematically analyse the best performing algorithms in a comparative way and analyze their relative strengths and weaknesses with a rigorous and systematic analysis over different network topologies and neuronal activity regimes. Possible journals might be PLoS Computational Biology or Frontiers in Neuroinformatics (but I am open to alternative suggestions). I think it would be nice if such submission was collective (by the ""Connectomics challenge group"" or something like this), to reflect the cooperative nature of this challenge. Please, interested persons contact me! PS: naturally you maintain the right to publish your results where you want and how you want. But if you wanted to team up it would be cool... Demian",7,silver,8,Mon May 05 2014 17:45:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8008,/competitions/connectomics,None
/pradeep15,Benefitted from this forum,"Benefitted tremendously from discussions in this forum. Particularly perky's idea of -1,0,1. I had initially attempted 1,1.5,2 which got me to around 330th rank. But it looks like there wasn't enough to discriminate among points with that range. Then I switched to -1,0,1 and moved to 125th or so. I had tried 0,1,2 as well but it worsened AUC significantly - not worth submitting. I found out about glmnet from this board. Then I went looking at http://cran.r-project.org/web/packages/glmnet/glmnet.pdf and found out about cv.glmnet. Tried both ""class"" and ""auc"" versions and that kicked me to 79th (at least as of now). My initial attempt was plain glm with full imputation that started me at around 630th rank.",0,None,5,Mon May 05 2014 21:10:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8012,/competitions/the-analytics-edge-mit-15-071x,205th
/choudharydhruv,"Imputing YOB, Education Level","Hi all, I see that for the Question variables using 1,0,-1 gives good results. For other parameters like YOB, EducationLevel, .. what is the way to impute data. I tried a few things: 1. Use mice - This does not seem to affect the results 2. For eg. YOB I filled in the average YOB for all values. Could someone share other techniques that they used Also would this website be operational even after the deadline. My best AUC is only .74 and I want to keep working on it to improve it. Thanks",0,None,1,Mon May 05 2014 22:30:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8014,/competitions/the-analytics-edge-mit-15-071x,690th
/luanjunyi,Do we need to upload models?,I see there's a label 'model uploaded' in the lead board page. Also there's a link 'upload your model'. I wonder do participants need to upload the model? What's that for? What will happen if I didn't upload any model and only make submissions? Thanks.,1,bronze,3,Mon May 05 2014 23:56:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8015,/competitions/walmart-recruiting-store-sales-forecasting,50th
/sushmitha0,Thank You Everybody!,"With the competition coming to a close, I would like to thank all the fellow members of the Analytics Edge course who participated in the Kaggle Competition. This is one of the best course I have ever taken and I can proudly say that I have learnt a lot in the last 2 months. I am just impressed with the way people were helping each other in taking a stab at the competition. Everybody wanted everyone to succeed which is really a good thing to see. I am sure a lot of us have benefitted by the discussions on the forum. The discussions were very enriching, helped us see the problem at hand in a different way and definitely helped us know and do better than where we started. Once again, thank you everyone and kudos!",2,None,1,Tue May 06 2014 01:05:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8017,/competitions/the-analytics-edge-mit-15-071x,587th
/pradeep15,How will kaggle reconstruct our model?,How will kaggle project our predictions on to a new test set?,0,None,5,Tue May 06 2014 01:13:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8018,/competitions/the-analytics-edge-mit-15-071x,205th
/zhaomei,Does the CV entrance close soon?,Does the CV entrance close soon?,0,None,1,Tue May 06 2014 01:30:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8020,/competitions/walmart-recruiting-store-sales-forecasting,21st
/breakfastpirate,Congrats!,Congrats David! And thank you to Kaggle and Walmart for a fun contest! I assume we can talk about our solutions now?,1,bronze,3,Tue May 06 2014 02:14:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8022,/competitions/walmart-recruiting-store-sales-forecasting,8th
/sriharij,Thank You and #2 rank model,"Congrats David and all the contestants. Personally, I would like to personally take this opportunity to thank Kaggle community, It has been an enjoyable experience. I have learnt a lot from everyone in this website. With regards to my model, I'll upload a detailed explanation on ""how and why"" of my approach. I used a hybrid approach of statistical and machine learning methods. I used SAS (for data prep/ARIMA/UCM) and R (for the remainder models) together. I used weighted average and trimmed mean of following 6 methods. The goal from the beginning was to build a robust model that will be able to withstand uncertainty. Statistical Methods: 1. Auto-regressive Integrated Moving Average (ARIMA) 2. Unobserved Components Model (UCM) Machine Learning Methods: 3. Random Forest 4. Linear Regression 5. K nearest regression 6. Principle Component Regression My model did not use any features. I simply used past values to predict future values. With Regards to variables (features) I used week of the year (1 thru 52), this would capture almost all the lag and lead effects of holidays except for new year which was moving and one other holiday. I built individual models for each department. I weighted holidays for stores with high growth rate vs. prev year differently than the stores without high growth. In the next week or so I'll try to upload detailed explanation.",70,gold,61,Tue May 06 2014 02:15:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8023,/competitions/walmart-recruiting-store-sales-forecasting,2nd
/promentis,Final rankings,"Congratulations to everyone who participated. I had a great time, as this was my first Kaggle experience. It looks like there was a lot of movement on the leaderboard when the full test dataset was used to compute the AUC. I wonder why that was. It's hard to believe that the 50% test set used was not representative of the larger test set, so the AUC used for the ranking should have been indicative of the final AUC. If not, there was no marginal utility in trying to improve one's initial model if you were above AUC 0.7 or so. Any thoughts/comments?",0,None,32,Tue May 06 2014 02:16:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8025,/competitions/the-analytics-edge-mit-15-071x,1029th
/sriharij,how to know which of the 2 submission was selected?,I submitted two models. How would you know which model was selected for final score ? Is there a possibility to change the submission and see what the score would have been ?,1,None,1,Tue May 06 2014 02:37:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8026,/competitions/walmart-recruiting-store-sales-forecasting,2nd
/p2007187329,Share your great Story !,"Hello, I am a novice in R, however thanks to members on the forum, I could complete the below. I couldn't improve the model beyond .56 that is the raw baseline model prediction.You guys who achieved .7 or above are really great - Congrats. Could you please share your great story here for others , so that we could understand our mistakes. Would appreciate if you could share the key steps/methods you followed . Or could you point out what improvements should I have done? thanks The steps I followed :- ===================== test datatest = read.csv( ""test.csv"", stringsAsFactors=FALSE)test[,7:109][test[,7:109] == ""Yes""] = 2test[,7:109][test[,7:109] == ""No""] = 1test$Gender=ifelse(test$Gender==""Female"",1,2)test$Income[test$Income==""over $150,000""]=6test$Income[test$Income==""$100,001 - $150,000""]=5test$Income[test$Income==""$75,000 - $100,000""]=4test$Income[test$Income==""$50,000 - $74,999""]=3test$Income[test$Income==""$25,001 - $50,000""]=2test$Income[test$Income==""under $25,000""]=1test[,9:109][test[,9:109] == """"]=0test$Gender[test$Gender==""""]=0test$Income[test$Income==""""]=0test$HouseholdStatus[test$HouseholdStatus==""""]=0test$EducationLevel[test$EducationLevel==""""]=0test$Party[test$Party==""""]=0test$Q98059[test$Q98059==""""]=0test$Q99982[test$Q99982==""""]=0test$YOB=as.numeric(test$YOB)test$Gender=as.numeric(test$Gender)test$Income=as.numeric(test$Income)test$HouseholdStatus=as.numeric(test$HouseholdStatus)test$EducationLevel=as.numeric(test$HouseholdStatus) created the glm model as below: trainmodel=(glm(Happy ~ Q102089+Q107869+Q101162+Income, data=trainset, family=binomial) ) Applied the model to Test data : testsetpredict=predict(trainmodel,newdata=testset,type=""response"")testpredict=predict(trainmodel,newdata=test,type=""response"") submission = as.data.frame(cbind(UserID=test$UserID, Probability1=testpredict))write.csv(submission, file=""submission.csv"", row.names=F)",0,None,3,Tue May 06 2014 02:46:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8027,/competitions/the-analytics-edge-mit-15-071x,1651st
/mancho,it´s a shame in my country it´s still 5-5-2014,"i didn't know but the time makes me fail my third submission, i build them in the lunch time in my job, but there is an internet restriction there and the kaggle page doesn't works from there. i just submitted them, and now the competition web site tells me that it's 06-05-2014 1:24 a.m. and that submissions don't count. While in my country still monday 5-5-2014. I know it's my mistake but it's a shame.... bie guys!",0,None,1,Tue May 06 2014 03:27:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8029,/competitions/the-analytics-edge-mit-15-071x,1567th
/oswald,Refreshing...,"I'm happy to have traded 200+ places in the final standings for the knowledge that the models I put the most effort into actually were the best in the end and my tests were relatively accurate. This explains all the frustration I faced when my seemingly logical refinements and test successes weren't reflected in my submission scores. It's just a shame that I duped myself into chasing the public score instead of relying on my own tests and intuition. It was that public 0.75701 of mine that sat at the top of the leaderboard for two weeks which started all the trouble. That outlying score - which I believe was the result of an unlucky imputation - was only good for 0.75811 private while another submission early the very same day was (0.74514 / 0.77426). It sent me on a wild goose chase. I even made a selection swap in the final hour this evening that dropped me 100+ private places just before the deadline. Hah! Though, had I known any of this at the time, I doubt I'd have learned nearly as much as I spent a lot of time writing functions to test, build and refine my models - time well spent. In the end, my best two submissions would have been good for a 0.779295 average, just outside of the top 10 - oh well. Now I'm looking forward to trying a public competition while reminding myself to have a bit more confidence and focus going forward. This was easily my favorite part of the class so far. I just wish it had come after 6.001 and 6.002 wrapped up so I could have dedicated more time.",2,bronze,14,Tue May 06 2014 03:36:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8030,/competitions/the-analytics-edge-mit-15-071x,236th
/smcinerney,How did you model the effect of MarkDowns? ,"How did you model the effect of MarkDown[1-5] on sales? Seems many people excluded MarkDowns from their models; I certainly didn't get that far. My basic impression is there was a (multiplicative?/additive?) effect of both MarkDowns and holiday seasonality. How to model that, for linear-regression? Pretty sure you need to model it per-Dept, since each Dept behaves very differently. each Dept has different seasonality wrt week-of-year, IsHoliday and week-relative-to-holiday (e.g. 3 weeks before Thanksgiving/'TX-3' which fell in Week 44 of 2010,2011) e.g. look how Dept 72 is very seasonal each Dept responds to MarkDowns differently feature generation: did you use something like totMD = sum(MD1+MD2+MD3+MD4+MD5, na.rm=T) ? NA handling: MarkDown data is only available from 2011-11-11 (Week 45, 2011) on. The effect of markdowns was unknowable for all of 2010 and most of 2011. But we still have selective NAs in MarkDowns after that, so totMD seems like a way more stable feature to use. (The NAs put me off using MarkDowns bigtime, esp. how/whether to impute them and with what).",1,None,5,Tue May 06 2014 03:44:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8032,/competitions/walmart-recruiting-store-sales-forecasting,347th
/davidthaler,Simple Models and Straight Averages,"As 20 or 30 of you already know, you can get 2943.93191/3025.89776 on the public/private leaderboards with a weekly seasonal naive model. In words, that models is: For each store-department-week in the test set, predict the value for that store-department, 52 weeks earlier. If there is no data, predict 0. It looks like the people who entered that as their model ended up spread across the cut for finishing in the top 25%. Throughout the contest, I experimented with simple models, mostly out of curiosity, although an average of them did end up as a component of my final model. The first such model I tried was a median model. In words, it is: Aggregate the data from the last year of the training set by store-department-month-IsHoliday, taking the median as the aggregation function. For each entry in the test set, predict the matching row from that table, or predict 0 if there isn't one. That model would have finished out of the top 25% at 3030/3124. This is very similar to a model I tried in ClickFix: [Link]:http://www.kaggle.com/c/see-click-predict-fix/forums/t/6466/my-favorite-model/35490#post35490. In that competition, it worked pretty well, but that task had lower validity and rewarded simple models. One of the things I learned in this competition is that R's forecast package is great. One of its minor features is something called tslm (time series linear model). It allows you to fit a linear regression model with a linear trend and weekly dummy variables with this bit of code: model <- tslm(s ~ trend + season) fc <- forecast(model, h=horizon) That got 3007/3151. Still not great, and by itself its out of the top 25%, but you should always try linear regression. The last simple model I tried was a product model. In words it is: Iterate over the departments, and for each, collect the last year of training data. Compute the average for each store (over the weeks) and the average for each week (over the stores). For each entry in the test set, predict the average for that week-department times the average for that store-department, divided by the average for that department. That got 3012/3131, still respectable, still out of the top 25%. Averaging works on this task, and a straight average of those four models gets 2710/2816 public/private, which would leave you inside the top 10%. In my final model, I included a straight average of the seasonal naive, product and tslm models, after a holiday-period shift (explained here: [Link]:http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8028/a-key-adjustment). With the shift, that got 2425/2499 public/private, using 2-day shifts for the naive and product models, and a 2.5 day shift for the tslm, which uses all of the training set.",29,gold,4,Tue May 06 2014 04:47:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8033,/competitions/walmart-recruiting-store-sales-forecasting,1st
/rajeshrao0,Request for Video/Script file from the staff ,Everybody seems to have their model and it is quite confusing so if the staff can put up a Script file or a Video explaining how they can get a decent benchmark average. Here I am not looking for a better AUC but rather the approach that one should have taken. The leaderboard seem to be a let down as people have drastically improved or went backwards as in my case. So in reality a shabby model on the leader board previously could be the best in the final leader board. So the AUC can be a little bit misleading. At least it was as per the huge ranking shuffle. Show of hands how many wants an approach recited from the staff.,2,bronze,1,Tue May 06 2014 05:20:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8034,/competitions/the-analytics-edge-mit-15-071x,682nd
/ceperaang,Compete with simplicity!,"There on forum were opinions that huge AUC isn't nesessary while you get simple interpretable model. So far it make sense for me and I tried some greatly reduced models. Smallest used 18 vars and scored 0.75379. Here it is: glm = glm(Q118237 + Q101162 + I(Q107869==""No"") + I(Q119334==""No"") + I(Q102906==""No"") + I(HouseholdStatus==""Domestic Partners (no kids)"") + I(Party==""Republican"") + I(HouseholdStatus==""Married (no kids)"") + I(HouseholdStatus==""Married (w/kids)"") + Gender + I(Q102289==""No"") + I(Q98869==""Yes"") +I (Q108343==""No"") + I(Q120014==""No"") + I(Q116197==""A.M."") + I(Q122769==""No"") + I(Q113584==""Technology"") + I(Q121011==""No"") +YOB +I(Q124742==""Yes""), data=train, family=""binomial"") Only manipulation w/data is replacing YOB's NA with median. Unfortunately it deserves only 1000th place here =) Show yours!",0,None,2,Tue May 06 2014 05:22:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8035,/competitions/the-analytics-edge-mit-15-071x,146th
/derrick1,User disappeared from leaderboard,"Hi there, I was in a competition and I just changed my display name, then my name and score disappeared from the leaderboard and when I made a new submission, it treated me as a new user....",0,None,2,Tue May 06 2014 06:22:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8037,None,None
/hollywoodland,Private vs public scores,Anyone know what the difference is between private and public score in MySubmissions?,0,None,10,Tue May 06 2014 08:15:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8038,/competitions/the-analytics-edge-mit-15-071x,506th
/mbenhaddou,Great competition-Could we get test file answers?,"Congratulation to the winners. Hi I discovered Kaggle lately and it's a great place to learn also. This was first participation. On thing I noticed, is that there is a big difference between the score one get in the validation set and the one that you get in the leatherboard. (The WMAE almost double) Is this a common issue or, was I making an error somewhere? Is it possible to have the test file with answers? I think this can be a common problem and one may want to see where the error was made. regards",0,None,3,Tue May 06 2014 08:24:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8039,/competitions/walmart-recruiting-store-sales-forecasting,105th
/wcukierski,Cheaters Removed,"We have removed suspected cheaters from the leaderboard. If your team was removed from the leaderboard and you believe it was in error, please email compliance@kaggle.com to plead your case (include an explanation for your statistically improbable similarities to other teams). As always, thanks to those who play by the rules.",8,bronze,6,Tue May 06 2014 15:07:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8047,/competitions/walmart-recruiting-store-sales-forecasting,None
/amkiller,The Dangers of Overfitting or How to Drop 50 spots in 1 minute,A very good read: [Link]:http://blog.kaggle.com/2012/07/06/the-dangers-of-overfitting-psychopathy-post-mortem/,0,None,3,Tue May 06 2014 15:33:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8051,/competitions/the-analytics-edge-mit-15-071x,297th
/sriharij,6 bad models make 1 good model: Power of Ensemble Learning,"Below are my Public/Private Leader board scores for individual models. 1. ARIMA (2891/2999) 2. Unobserved Components Model (2817/2949) 3. Random Forest (2783/2868) 4. KNN Regression (2657/2711) 5. Linear Regression (TSLM) (2858/2986) 6. Principle Component Regression (3131/3190) Simple average of the above 6 models yielded a score (2421/2501). with some little tweaking of how I average greatly improved my scores. The key thing that I learnt early on was that diversity is very important in ensemble learning. The correlation among models were not good. See below for Department 10, Store 10. More on why this worked to come ... [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/44044/1246/10_10.png",30,gold,4,Tue May 06 2014 16:54:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8055,/competitions/walmart-recruiting-store-sales-forecasting,2nd
/christmascarol1,when is the written report due? ,Is there a hard deadline for the report submission? Thanks!,0,None,1,Tue May 06 2014 21:32:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8066,/competitions/ucb-stat154-final-project,1st
/prithwirajmukherjee,When did the client take out the data?,"Hi. Is it possible to know the date at which the client downloaded the data from their database? I want to include a time horizon into my model, where p=0 at t=0 and p=1 at t=inf. The probability reported will thus be contingent on time elapsed",0,None,3,Tue May 06 2014 22:34:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8068,/competitions/acquire-valued-shoppers-challenge,820th
/julianmcauley,Welcome!,"Thanks for your interest in our competition! Modeling communities in social networks is a problem I'm very excited about and have been studying for some time. Although many social media websites (Facebook, Google+, twitter) have some feature that is similar to a ""social circle"", these are very time consuming to create, and there's currently no good solution to do this automatically. That's why we thought it would be fun to run a competition on this topic. I think there are a lot of characteristics that make predicting social circles particularly interesting: It's a real problem. Facebook, Google+, and twitter (among others) all care about having a good solution to helping people organize their personal social networks. It's something we can benefit from. We all know how hard it is to deal with the information generated by our personal social networks. It would be great if your algorithm could help us to organize our connections automatically. It's hard, and new techniques are required. Finding multiple overlapping communities in a network is a difficult combinatorial optimization problem. ""Standard"" techniques from the ML toolbox may not get you far! The data is rich. A user's friends, as well as their social profiles should contribute to a good solution to this problem. How to combine these heterogeneous sources of data is a big challenge. We hope you'll enjoy working on this problem, and look forward to seeing some interesting solutions! Julian",4,bronze,1,Tue May 06 2014 22:54:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8069,/competitions/learning-social-circles,None
/zenlytix,Leaderboard ranking changed?,Did anybody else notice a change in their final leaderboard ranking? Mine went up by two positions when I noticed it now compared to the ranking yesterday. I know it is trivial and no big deal (I am not even in the top 100) but still curious.,0,None,5,Wed May 07 2014 02:54:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8070,/competitions/the-analytics-edge-mit-15-071x,140th
/hewhew,Question on K nearest neighbor algorithm,"Hi all, I'm new to ML. Not sure if this is the right place to post this, I was wondering if anyone could help me with this: Suppose I have a dataset with 1000 rows of record that I want to use as base to model my K nearest neighbor algorithm. I want to split my dataset into 2 group, 1 for the use as the base for my classifier and the other for testing so I can score my model. Now, question is how do I know which is the best rows to be use in my classifier group. What kind of size is the best? Ideally I need the data to be distributed perfectly, any idea?",1,None,3,Wed May 07 2014 05:06:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8072,None,None
/peterwilliams97,0.99143,Does anyone have any ideas why there are a bunch of us with the same score 0.99143 ? It seems too precisely equal to be an accident.,0,None,1,Wed May 07 2014 08:08:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8074,/competitions/data-science-london-scikit-learn,None
/agantook,Open source softwares: Rules,"Does Competition Rules for ""Acquire Valued Shoppers Challenge"" imply that open source software like R and python CANNOT be used in order to eligible for the prizes? Ref: [Link]:http://www.kaggle.com/c/acquire-valued-shoppers-challenge/rules",0,None,7,Wed May 07 2014 14:08:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8079,/competitions/acquire-valued-shoppers-challenge,None
/ed23185433,Reading and interpreting random forest models,"Hello everyone, great job on the competition! Congrats to everyone for putting in so much time and effort in learning and experimentation. I found my best model to be a random forest model with all variables except YOB, Gender, Income and Party, using nodesize=200 and ntree=5000. I got about 0.77 on this. However, I don't know how to interpret the model or to even find out which variables were the most important or significant predictors. I try str and summary functions but can't seem to find out which variables are most important. Any help would be appreciated. Thanks! This is actually quite interesting to me since I am in career transition and have been doing a lot of soul searching and book reading trying to figure out what determines true happiness. To that end, I did what others have done, just go through the list of questions and eliminate what didn't seem to be very indicative of happiness. However, my best models kept all the Q variables. Whenever I eliminated certain questions AUC and other measures of accuracy and quality declined. I noticed that using CART I could plot the tree and see that optimist/pessimist was a very important predictor. How can you do the same for a random forest model?",0,None,4,Wed May 07 2014 16:25:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8082,/competitions/the-analytics-edge-mit-15-071x,276th
/huangguan,how long do you need to train you model?,"I have not begin this competition, but I worry that the time of training is too long(if I write my code in python) and the memory costed is too large.I really desire your answer.",0,None,4,Wed May 07 2014 16:51:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8083,/competitions/acquire-valued-shoppers-challenge,507th
/vateeshc,>1 model,"I am thinking of building 2 different models based customers who have purchased say the specific Company+Category+Brand items as opposed to one who hasn't. In the train set, customers who have done this are approx.1.6 times more likely to be a repeater. Without doing the detailed analysis yet, I am thinking that there is bound to be different behaviours between these 2 segments that may not be sufficient for one single model to accomodate. Maybe an opportunity to boost predictive power with a multitude of models. Interested in finding out if others have had similar thoughts or are already doing this. If so what sort of performance results are you getting?",0,None,3,Thu May 08 2014 02:49:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8087,/competitions/acquire-valued-shoppers-challenge,630th
/shaunbrophy,"Did -1, 0, 1 dummy code ERROR actually put people in the top 10?  ",,2,None,2,Thu May 08 2014 04:17:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8088,/competitions/the-analytics-edge-mit-15-071x,10th
/rakeshp,How to stop excel removing leading zeroes in csv.,"Hi, I am facing problem in the csv file. I don't want excel to remove leading zeroes as it is affecting my forecasted string. Any ideas would be greatly appreciated. Thanks in advance!!!",0,None,4,Thu May 08 2014 08:24:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8089,/competitions/allstate-purchase-prediction-challenge,1321st
/del=7155bc8e2d4018c4,typo in example?,"UserId,Prediction1,3 5 9 12 15 39 24 1;4 12 98 54 384 6 22;88 78 45 34 19 27 1012,341 9086 542 17 36;55 56 57 58 10 106 14;384 1;7 12 19 35 11;88etc. Do I understand right that User 1 belongs to his own circle {3, 5, 9, 12, 15, 39, 24, 1} or this is typo?And also, if 2 belongs to {384, 1}, why circle {2, 384} does not exists for 1 (or is it just random example)? And 1 more question for similar situation - lets say we have a circle {1,2,3,4}. Should we output this circle for each element:1, ... ; 2 3 4; ...2, ...; 1 3 4; ...etc. Or just once?",0,None,3,Thu May 08 2014 09:53:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8090,/competitions/learning-social-circles,None
/gbrdata,sensors order in the data,"Hi, It seems to me that the order of the sensors is not the same in the X data and in the layout file. In the layout file, the gradiometers and the magnetometer are not appearing alternatively, that is to say if you look each 3 lines it is not the same sensor type. However in X (by looking at the amplitudes of the time series) it looks like it is ordered as gradiometer 1 , gradiometer 2, magnetometer , gradiometer 1, ... Could someone clarify that?",0,None,7,Thu May 08 2014 11:14:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8091,/competitions/decoding-the-human-brain,178th
/shubhamjaiswal0,Need a Team,"Hi Everyone, I am a Carnegie Mellon student in Information Systems Management looking for a team to work on a competition. Would love to work on project during the next 3 months. Thanks, Shubham Jasiwal",0,None,10,Thu May 08 2014 15:37:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8093,None,None
/prabhakaran,Direction for beginners,"Hello All, I am fairly new to data analysis and sentiment analysis but very eager to learn . I know R language. when i read through this problem i find terminologies are alien to me . please guide me to the right resource to learn the fundamentals to solve the problem. Regards, Prabhakaran",0,None,1,Thu May 08 2014 19:29:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8094,/competitions/sentiment-analysis-on-movie-reviews,672nd
/vaibhavpandey1,"0 in brand,category and dept","Hi There are some 0 values in the brand,category and dept fields in transactions.csv file. brand 0,12312392 category 0,5880961 dept 0,5880961 Is there any significance to that ? Thanks.",1,bronze,1,Fri May 09 2014 07:29:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8098,/competitions/acquire-valued-shoppers-challenge,130th
/huangguan,Do you treat this problem as a classfication problem and use models such as random forest and gbdt?,I have not extract enough features and got a bad performance by using random forest.Maybe I could do better when I extract more features.,0,None,1,Sat May 10 2014 05:32:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8105,/competitions/acquire-valued-shoppers-challenge,507th
/victor28,What is promotion period?,"Hey, The problem statement says this: ""You are asked to predict which of the 60 will return (during or after the promotional period) to purchase the same item again."" However, there is no definition for a promotion period. There is only a promotion date column in the offers and history files. Also, there is no way to differentiate between Customers who redeemed the offer and did not repeat Customer who did not redeem the offer The repeater flag only helps me find those who redeemed and then repeated. Any thoughts on this? Thanks, Victor",0,None,5,Sat May 10 2014 12:31:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8109,/competitions/acquire-valued-shoppers-challenge,None
/slothouber,Can we use a word list?,"The rules state: ""You may only use the provided training data to train your model."" However it would be very useful to be able to classify the words in the training data, (verb, noun, name, etc). So my question is: it allowed to use a word list or dictionary?",1,bronze,2,Sat May 10 2014 12:59:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8110,/competitions/billion-word-imputation,None
/slothouber,"""train your model on the test set"" clarification","The rules state that we are not allowed to, ""train [ones] model on the test set"". Am I correct in understanding that this means that: we are to build a general model that works for any sentence with a missing a word, and not a model that works just for the 306682 sentences in the test set? (Or in an even more extreme case, build 306682 models that each work for just one particular sentence).",1,None,2,Sat May 10 2014 17:49:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8112,/competitions/billion-word-imputation,None
/chaseos,"Clarification on variables: id, chain","Hi Admin, With regards to the Transactions table, would an 'id' with two different 'chain' ids indicate the same customer shopping at two different store chains? Or does this signify two store chains who have coincidentally assigned the same 'id' to two (likely) different customers?",1,bronze,5,Sat May 10 2014 19:59:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8113,/competitions/acquire-valued-shoppers-challenge,607th
/jgonagle,Truncation Direction,"Which direction is the truncation? E.g. if a 10 point sample was truncated to 4 points, would the truncated sample be points 1-4 or 7-10? Basically, are they cutting out early samples or the ones closest to the purchase point? The former seems to make more sense (in that it allows earlier prediction, hence savings, yada, yada, yada).",0,None,4,Sat May 10 2014 20:45:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8114,/competitions/allstate-purchase-prediction-challenge,None
/lejlot,Post competition data usage,As the competition has finished I have two questions concerning datasets: Do you plan to make valid/test labels avaliable for contestants? It would be nice to be able to further investigate the differences between particular networks. Is it ok to use data from this competition (in particular training data) in some future research? If yes is it also ok to share this data with other interested researchers? One of our colleagues working in the field of topological data analysis was interested in access to the dataset (unfortunately it is no longer possible to register so he cannot get it on his own),0,None,1,Sun May 11 2014 11:49:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8117,/competitions/connectomics,5th
/smontanoc,Diccionario de los variables,"Hola a todos, Sería muy importante tener un diccionario para las variables en las bases de entrenamiento y práctica Gracias.",0,None,1,Mon May 12 2014 03:49:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8120,/competitions/prediccion-hospitalizaciones2,4th
/davidthaler,First Place Entry,"This post is a revised version of my earlier one, that was well down-thread under [Link]:http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model. I wanted to put it in its own thread so people could find it. Also, the code is now up on [Link]:https://github.com/davidthaler/Walmart_competition_code. My final model was an average of 6 components, 5 time series models plus an average of 3 simple models, which are also solely time-based, and are described in detail elsewhere ( [Link]:http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8033/simple-models-and-straight-averages). I did not use the features at all. Most of the models came out of the forecast package in R, which is excellent. In particular, 3 of the models, including the best single model, used the stlf() function, which does an STL decomposition and then makes a non-seasonal forecast over the seasonally adjusted data, before adding back the naively extended seasonal component. The other two time series models used auto.arima() directly, which is an automatic arima model forecasting function from the forecast package. To make each set of predictions, I iterated over the departments, producing a data matrix of Weekly_Sales values of dimension (number of weeks) x (number of stores). This allowed for pooling of data across the stores, within the same department. One way that I did that was by performing singular value decomposition on the data matrix and then replacing the data with a reduced-rank approximation of itself before forecasting. Another pooling method that I used was to forecast the standard-scaled series and then average together several of the most closely correlated series before rescaling. Note that in some cases, the most closely correlated series were not all that closely correlated. In that case, the prediction got flattened out. With both SVD and averaging, the intuition is that features that are shared across different stores are probably signal, while those that are not are more likely to be noise. SVD + stlf/ets - this model applied SVD to the training data as preprocessing, and then forecast each series with stlf(), using an exponential smoothing model (ets) for the non-seasonal forecast. SVD + stlf/arima - the same, but with an arima model for the non-seasonal forecast Standard scaling + stlf/ets + averaging - like (1), but SVD was not used. Instead, the data were standard scaled, and a correlation matrix was computed. Then forecasts were made and several of the closely correlated series were averaged together, before restoring the original scale. SVD + seasonal arima - This used auto.arima() from the forecast package. These models were actually all (p, d, q)(0, 1, 0)[52], essentially non-seasonal arima errors on a seasonal naive model. non-seasonal arima with Fourier series terms as regressors - This also used auto.arima(), but as a non-seasonal arima model, with the seasonality captured in the regressors. Average of simple models - there were three of these: a linear regression model with seasonal(weekly) dummy variables, a seasonal naive model, and a product model, which predicts a weekly average times a store average All of the models got the holiday-period shift explained in more detail elsewhere ( [Link]:http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8028/a-key-adjustment). Briefly, in many of the departments, there is a bulge of sales in the days leading up to Christmas, and a different number of those days fall into the same week as Christmas in the test set than in the training set years. Therefore, if there was a bulge, I shifted some of the sales around by 2 or 2.5 days, depending on whether the model involved used only the last year of the training data, or both years. This adjustment matters a lot, because the week of Christmas is up-weighted and that part of the year has high sales levels in many departments. The best performing single model was model the SVD + stlf/ets. With a 2.5 day shift (because it uses both years of data), it gets 2348 on the final leaderboard, enough to win this competition by itself. The runAll() script available in the [Link]:https://bitbucket.org/dthal/kaggle_walmart runs all of the models, and then generates a submission out of the average of them. It actually gets 2303 (not 2301) on the final leaderboard, so I must have changed a parameter value somewhere. I'd like to thank Rob Hyndman and the forecast package team for their great work. Also, thanks again to Hyndman and to George Athana­sopou­los for their very helpful online book Forecasting: principles and practice, which I highly recommend as a practitioner-level introduction to the subject.",102,gold,11,Tue May 13 2014 09:43:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8125,/competitions/walmart-recruiting-store-sales-forecasting,1st
/del=c257cb9a7a088212,What's exactly the plan of the result submitted?,What's exactly the plan of the result submitted? I have no idea about what's the meaning of 1111111 ? 1 refers to the value choosed or how long (in years) the customer was covered by their previous issuer or others?,0,None,1,Tue May 13 2014 16:17:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8130,/competitions/allstate-purchase-prediction-challenge,1376th
/zhongqiuwang,Error in HiggsBosonCompetition_AMSMetric.py,"It seems there is an error in the provided HiggsBosonCompetition_AMSMetric.py. In the AMS function, radicand = 2 *( (s+b+br) * math.log (1.0 + s/(b+br)) -2.0), shouldn't the last 2.0 be s ?",0,None,7,Tue May 13 2014 16:41:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8131,/competitions/higgs-boson,458th
/apritchard,Anyone using Mahout?,"Is anyone using Mahout for this challenge? If so what algorithm? I'm totally new to data science, so I'm learning. But I got a couple Mahout examples running, I don't think I'm applying the correct algorithm though to analyze the data.",0,None,4,Tue May 13 2014 19:10:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8133,/competitions/acquire-valued-shoppers-challenge,None
/chipmonkey,PRI_jet_all_pt Zeros,"The field PRI_jet_all_pt has a large number of ""0"" values but no -999 values. Can someone verify that this is correct -- that the 0 values are meaningful 0s rather than values which should be the meaningless -999? Thanks!",0,None,6,Tue May 13 2014 19:38:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8135,/competitions/higgs-boson,1384th
/adilmouja,How far in the future are we predicting?,In the problem description it is mentioned that we should predict the probability of customer return (during or after the promotional period) to purchase the same item again. How many days/months is this period from the offer date or the last transaction?,0,None,6,Wed May 14 2014 04:09:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8141,/competitions/acquire-valued-shoppers-challenge,396th
/dainisberzins,Submission from team not appearing in leaderboard,"I have posted my first submission today without any error messages, but I do not see my team in the leaderboard. Any ideas why this might be the case? I have the header row and 55,716 prediction rows, delimited with a comma. I have submitted the same file with a .txt extension and a .csv extension. I have also checked the end of line characters to match the sampleSubmission.csv that has a linefeed only at the end of each row. Still, with 3 submitted files, my team does not appear on the leaderboard. I have also tried selecting 1 of the 3 submissions to be used for the final scoring, but that has not made my submissions appear either. What am I missing? Any suggestions for what else I should do / check? Thanks in advance! Dainis",1,None,4,Wed May 14 2014 14:30:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8148,/competitions/allstate-purchase-prediction-challenge,948th
/hbbisworse,Eligibility clarification,"Hi, Are other ATLAS members (not on H->tautau) allowed to enter the competition? Thanks Tim",0,None,10,Wed May 14 2014 19:26:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8153,/competitions/higgs-boson,837th
/zygmunt,Getting 0.784,"After the competition ended I discovered a bug in my code: it used only a fraction of available training examples. Still I ended up 17th. After correcting the bug the code gets a winning score. Here's a write-up, including a GitHub link: http://fastml.com/impute-missing-values-with-amelia/",2,bronze,1,Wed May 14 2014 20:28:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8155,/competitions/the-analytics-edge-mit-15-071x,17th
/blackeagle,Publication restrictions,I wanted to check what sort of publication restrictions exist for the data set used in this competition. If our entry does not win but we still think our approach is interesting worthy of publication can we publish our work or not?,0,None,4,Wed May 14 2014 23:52:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8159,/competitions/decoding-the-human-brain,None
/user191111,Normalization in Vowpal-Wabbit,Vowpal-Wabbit will normalize the data by default. Does it means that we do not have to normalize it by ourself? Any one knows how VW normalizes data ?,1,None,1,Thu May 15 2014 08:38:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8161,/competitions/acquire-valued-shoppers-challenge,143rd
/saikumarallaka,did Walmart contact any one??,I am curious to know on Walmart recruitment. Did any one receive call or mail from Walmart?? If so please let us know. Thanks Saikumar,0,None,3,Thu May 15 2014 13:21:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8162,/competitions/walmart-recruiting-store-sales-forecasting,48th
/ruadev,oeps,the training set includes the test set !,0,None,2,Thu May 15 2014 15:04:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8163,/competitions/billion-word-imputation,None
/winsty,thoughtful_donor ,Will the list be provided? Or we have to learn them from the data?,0,None,2,Thu May 15 2014 16:29:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8164,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,26th
/winsty,nlns and kipp school,What does this field mean?,0,None,1,Thu May 15 2014 16:54:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8166,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,26th
/winsty,grade_level ,Could you provide the order of the grade. I'm not familiar with the grade system of US school,0,None,1,Thu May 15 2014 16:59:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8167,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,26th
/winsty,fulfillment_labor_materials,Does this field mean the total money requested by the project?,0,None,3,Thu May 15 2014 20:44:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8172,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,26th
/lctsai,Missing fields in projects.csv,"I found two fields are missing from projects.csv according to the explanation of data page.First, the school_state is missing. Second, school_county is missing. Also, I found the content in school_charter which should stands for"" whether a public charter school or not (no private schools in the dataset)""seems like the content of school_county. For example, there're ""New York (Manhattan)"", ""Bronx"" in this field. Is there any mistake?",2,bronze,1,Fri May 16 2014 12:27:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8177,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,12th
/abhishek,Question to Admin,"Hi, Will the final rankings be the ""real"" rankings or would they be like the last competition that we had? Thank you,",0,None,2,Fri May 16 2014 21:41:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8181,/competitions/adcg-ss14-challenge-03,7th
/balazskegl,Meta challenge: predict the final AMS,I thought we could run a meta challenge for fun: try to guess the (public) AMS of the final winner. I go first: 4.05,0,None,20,Sat May 17 2014 00:01:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8183,/competitions/higgs-boson,None
/melisgl,training and test distributions,"From random_submission.csv, it seems that ""s"" is predicted 30% of the time. If I do the same (completely disregarding the input), then I get 0.59ish score for the whole training set which is close to the 0.58477 the random benchmark has on the public leaderboard which looks reassuring on the surface. However, the public leaderboard is calculated on 18% of the test set which is 99000 examples. Evaluating the random predictor on 99000 examples from the training set gives about 0.37 (AMS is not scale independent). Unless I made a mistake, the most likely explanation seems to be that the weights of the test set are on a different scale than those of the training set. ???",0,None,3,Sat May 17 2014 15:24:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8190,/competitions/higgs-boson,1st
/geringer,A lot less sharing in this competition !,"Its funny how a good amount of prize money changes the competition. I don't see a lot of people posting ""beat the benchmark"" type code here. Everyone is on their own to solve this puzzle. I like it. It feels more like a real competition. Plus it took me 3 days just to barely beat the benchmark here and it feels like an accomplishment. Interesting dynamic.",0,None,8,Sat May 17 2014 17:09:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8192,/competitions/allstate-purchase-prediction-challenge,1059th
/ivankuckir,Offers miss the Size attribute,"I would like to decide, if an offered item is cheaper, than it's average price from transactions.csv. I choose unique items as combinations of category-brand-company. In transactions.csv, we have 3 attributes: productsize, purchasequantity, purchaseamount. But in offers.csv, we have just 2 attributes: quantity, offervalue. When I use quantity = productsize * purchasedquantity, offered items are too expensive. When I omit productsize, offered items are too cheap. So there is no way to decide, wheter offer is cheap or expensive? Or am I missing something?",0,None,2,Sat May 17 2014 19:43:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8193,/competitions/acquire-valued-shoppers-challenge,590th
/rkirana,R code for benchmark,"Lot of requests to share code. Hence here is R code for last seen benchmark. If you guys are interested, use it . test <- read.csv ('test_v2.csv', header=T, stringsAsFactors = F) test <- as.data.table (test) temp <- test [,list (shopping_pt = max(shopping_pt)),by = customer_ID]setkey (temp, ""customer_ID"", ""shopping_pt"")setkey (test, ""customer_ID"", ""shopping_pt"")temp <- merge (temp, test, by = c(""customer_ID"", ""shopping_pt""))temp [,shopping_pt := shopping_pt+1]test [,flag_record := 0,]temp [,flag_record := 1,]test <- rbind (test, temp) test <- test [,policy := paste (A, B, C, D, E, F, G, sep='')]test <- test [order(test$customer_ID, test$shopping_pt),]test <- test [,last_seen_policy := c(""NA"", test$policy [1:(nrow(test)-1)])]test <- test [,last_seen_policy := ifelse (shopping_pt==1, ""NA"", last_seen_policy)] # Sequence of policies at each pointsetkey (test, ""customer_ID"", ""shopping_pt"")seqDF <- NULLfor (i in c(2:max(test$shopping_pt))) { temp <- test [test$shopping_pt <= i,] temp <- temp [,list(customer_ID, last_seen_policy)] [,lapply(.SD, function (x) paste (x, collapse="" "")),by = customer_ID] temp [,shopping_pt := i] seqDF <- rbind (seqDF, temp) }temp <- data.frame (customer_ID = unique (test$customer_ID), last_seen_policy = ""NA"", shopping_pt = 1)seqDF <- rbind (seqDF, temp)seqDF [,last_seen_policy := gsub (""NA "", """", last_seen_policy)]test <- merge (test, seqDF, by= c(""customer_ID"", ""shopping_pt""), all.x=TRUE) myTest <- test [test$flag_record == 1,] myTest$predicted <- myTest$last_seen_policy write.csv (myTest [,list (customer_ID, predicted)], file = 'last_seen_benchmark.csv', row.names = F)",4,bronze,4,Sun May 18 2014 05:34:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8198,/competitions/allstate-purchase-prediction-challenge,34th
/jfantasy,"the meaning of ""teacher-acquired donor"" and ""full funded""?","hey~Can someone tell me that what is the definition of ""teacher-acquired donor"" and ""full funded""? >_< sorry for my poor English",0,None,1,Sun May 18 2014 10:57:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8199,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,None
/orangerv,Problems Reading the Outcomes File into R,"Anyone else having problems reading the outcomes file into R? Despite successfully reading the donations.csv file into R, I can't get the outcomes.csv file to read in.",0,None,4,Mon May 19 2014 01:34:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8202,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,436th
/mjstoik,Question to the competition winner.,"Hello, congratulations on winning the competition. Do you mind sharing your winning classification method with us (what did you use and the parameters if possible, for educational purposes)? Thank you in advance, Cheers!",0,None,1,Mon May 19 2014 02:09:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8203,/competitions/papirusy-z-edhellond,2nd
/skarun,Questions regarding Training,"http://www.kaggle.com/c/learning-social-circles/data ""This file (Training) can be used to reproduce the labels for the training data."" Q. What does this mean. Labels are I understand human-labelled (or manually given) circle name. How do you use the training data to reproduce it. Q. Why is it called ""Training""?",0,None,1,Mon May 19 2014 03:16:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8204,/competitions/learning-social-circles,124th
/huangguan,Do all of you solve this problem  with a classifier or divide it into solving several sub-problems?,Do you just build a classifier to directly predict whether a project is exciting or solve the sub-problems such as whether it was fully funded (fully_funded) and it had at least one teacher-acquired donor(at_least_1_teacher_referred_donor)?,0,None,2,Mon May 19 2014 03:22:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8205,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,None
/tintiny,entries in offers.csv,"I noticed that some of the offers in offers.csv have the same attributes. For example the offers 1198271,1198272,1198273,1198274 and 1198275 are for the same category, quantity, company, offervalue and brand. What makes them different? Are they being offered in different chain stores/markets?",0,None,1,Mon May 19 2014 03:40:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8206,/competitions/acquire-valued-shoppers-challenge,239th
/conradlee,Is each customer ID associated with only one chain?,"As far as I can tell, each customer ID is associated with only a single chain. That's unexpected--can anyone else confirm this? If this is true, it means that the transactions file can be linked to the history file by simply using the customer ID. The data description says that we need to use the (customer ID, chain) key to link these two files, so, again, that's surprising.",0,None,6,Mon May 19 2014 11:47:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8208,/competitions/acquire-valued-shoppers-challenge,691st
/jehanzebchaudhri,Leading 0's not showing up in excel,"I have tried to format the excel file and show the leading zeroes, which it does but then on reopening the file the leading zeroes disappear again. The zeroes are there but the word processor for excel is excluding them. Does anyone know if this could be affecting the score?",0,None,2,Mon May 19 2014 16:20:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8210,/competitions/allstate-purchase-prediction-challenge,1270th
/drpatrickchan,Why are some of the purchase amount negative?,"Dear Kaggle Admin, Why are some of the purchase amount negative in transactions.csv ? Are those redemption, returns or something else? Appreciate an explanation of the context. Thanks Patrick",0,None,5,Mon May 19 2014 16:35:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8211,/competitions/acquire-valued-shoppers-challenge,83rd
/user191111,vowpal-wabbit produces different results with the same input,"Hi, everyone I am training my quantile regression model using vowpal-wabbit. But I found that if the objects in training set are permuted, vowpal-wabbit will produce totally different model. which makes me very confused...",0,None,2,Mon May 19 2014 18:23:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8213,/competitions/acquire-valued-shoppers-challenge,143rd
/sd1965,CentOS question,"Hello, I am considering installing CentOS as my operating system but am having doubts it is open source enough to get Open Source Initiative certification. It is GPL v.2. Could someone please confirm whether it is (not) OK to use in Kaggle competitions? Or does OS matter? Thank you, Steven",0,None,2,Mon May 19 2014 23:48:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8217,None,None
/joshuaweiner,Multivariate prediction? Is it possible?,"Friends, Is it possible to build a multivariate predictive model that truly accounts for the correlations in your dependent variables? If so can you share some code? In R I explored mvpart, manova, mcmcglmm but none of these do predictions. I also explored seamingly unrelated regression which I thought might work, but it was not effective. Many of these methods are meant to tell one of the explanatory variables across different dependent variables are significant or not. So here is the question, without using ""tricks"" etc., is there an efficient or effective way to basically account for association rules in a predictive model? A way to simultaneously predict the dependent variables while accounting for their correlations? True multivariate analysis. Not just adding A, B, C, D, E, and F from the last seen policy (or from a first prediction for the model for G. Thank you,Josh",2,None,3,Tue May 20 2014 04:01:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8220,/competitions/allstate-purchase-prediction-challenge,260th
/abrahamfinney,Getting live Google news data about a specific search query,I have a requirement to make a sentiment analysis of a company's stocks. I want to analyse all the news articles about the client. So i want to get the data dynamically so when ever there is an article about them i want it to update on my dataset dynamically(live data). I want it to take the data to tableau and then do further analysis using R. How do i go about it? Is it possible? Thanks in advance.,0,None,2,Tue May 20 2014 07:03:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8223,None,None
/khanna,Errors in Submission,"Kindly help, To the best of my knowledge, the format of my submission is well in accordance with that of the randomSubmission file,but it says it is showing some parse errors in there, Do I need to provide with more data here,as in my submission file,etc? The error it shows is ""Could not parse 2e+05 into expected type of int32 (Line 36362),Column 8) I DON'T HAVE ANY COLUMN 8 !",0,None,3,Tue May 20 2014 09:53:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8226,/competitions/higgs-boson,829th
/wcukierski,Cheaters Removed,"We have removed suspected cheaters from the leaderboard. If your team was removed from the leaderboard and you believe it was in error, please email compliance@kaggle.com to plead your case (include an explanation for your statistically improbable similarities to other teams). As always, thanks to those who play by the rules.",3,bronze,6,Tue May 20 2014 15:30:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8231,/competitions/allstate-purchase-prediction-challenge,None
/emolson,Clarification on evaluation metric,"Hi, I have a question about the second part of the evaluation metric. The page states: ""Secondly, you must predict the probability that the clip is within the first 15 seconds its respective seizure."" Does this mean we must first classify into seizure/non-seizure clips, or is the AUC only calculated over those clips which are actually seizures?",0,None,5,Tue May 20 2014 16:40:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8232,/competitions/seizure-detection,2nd
/herrahuu,Clarification about the rules,[quote=Competition Rules]Classification must be performed by an algorithm. Visual review of data segments is not a permitted. Does this section of the rules just imply that hand picked predictions are not allowed? The second sentence could be interpreted in more restrictive ways as well. [quote=Competition Rules]# Not allowed:if 'Dog_1' then foo()if 'Patient_1' then bar()... # Allowedif f(signal) < 2 then foo()else bar() Are we still allowed to have individual models for each subjects as long as they can be trained in automated way?,1,bronze,2,Tue May 20 2014 17:22:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8233,/competitions/seizure-detection,None
/ifguy12,Purpose of Project,What purpose would this project have to current researchers? Would it allow them to predict survival of passengers in related disasters in the future?,0,None,1,Tue May 20 2014 18:55:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8234,/competitions/titanic,None
/kevinbarbian1,data format?,I am going to state the obvious that I’m totally new to this kind of work. I am going to school to learn programming. I want to try this to see if I might be interested in machine learning. This is the crux of my problem. I don’t want to spend $100 on Matlab and when I try to open the data files I get missing or unreadable data EG ( ÈÃB­I0@ ‡…Z <À P +‡.À St$7>À œæ §È6À f÷ä3À èH.ÿ‘KÀ dîZB¾W@  &SUE@ 6<½R ) I must be completely out of my league if I can’t even look at the data?So why is the data presented in this format and in such large files? thanks for any help,0,None,2,Tue May 20 2014 22:07:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8235,None,None
/kc13198137,eligibility,"Hi all, This is just a minor administrative question. Apologies if the answer has already been clearly stated elsewhere. The rules state that employees of the Competition Sponsor are not eligible to compete. However, it's somewhat unclear which employer is relevant here, since different sponsors are listed in different places (UPenn, American Epilepsy Society, NINDS, etc...). Could this aspect of the eligibility rules be clarified? Thanks!",0,None,1,Wed May 21 2014 00:31:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8236,/competitions/seizure-detection,122nd
/welcomeworld,"My FAT32 file systems has a 4GB (4,194,304 KB) file size limit",So I can't download. I know! Only excentrics still use 32bit XP systems these days. Would it be possible to break the file down to smaller files?,0,None,8,Wed May 21 2014 01:07:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8237,/competitions/seizure-detection,None
/soundwaveli00,"Questions of ""Team Mergers""","In ""Team Mergers"" section of competition rules, ""Team Mergers Team mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the merge date."" What is maximum allowed for this competition?",0,None,1,Wed May 21 2014 01:18:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8238,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,59th
/robreynoldson,Can't load mat files in octave (version 3.6.4),"Do the mat files work with octave version 3.6.4? I get the following 2 errors when I use the load command: octave:15> load Volumes/Seagate/seizure_detection/competition_data/clips/Dog_1/Dog_1_ictal_segment_100.mat error: load: invalid array name subelementerror: load: trouble reading binary file 'Volumes/Seagate/seizure_detection/competition_data/clips/Dog_1/Dog_1_ictal_segment_100.mat' For the record, I've tried all the options (binary,hdf5,ascii,mat,v4,v5,v6, etc). I also know the file's path is correct because I can 'ls' it from within octave. UPDATE: I'm still not able to load these files into octave, but I can load them into R with the readMat method from the R.matlab package.",1,None,2,Wed May 21 2014 01:52:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8239,/competitions/seizure-detection,None
/drpatrickchan,Share R Script to create csv files for R?,Have anyone tried using R in this competition? Would anyone be kind enough to share your R script to create the training csv files? Much appreciated.,0,None,1,Wed May 21 2014 05:38:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8241,/competitions/acquire-valued-shoppers-challenge,83rd
/minnow8a,running out of memory when trying to use SVM in R,"Has anyone else had this same problem? I'm trying to build a support vector machine (SVM) classifier with R and my machine keeps running out of memory. FYI, I'm running a macbook air (4g memory).",0,None,4,Wed May 21 2014 08:02:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8242,/competitions/sentiment-analysis-on-movie-reviews,None
/del=3faf740a902bc7b3,Has anyone managed to join the 3 datasets provided?,"Hello there! I joined the trainHistory with offers and with transactions on the columns mentioned in Data page but I'm not getting all the rows in trainHistory only about ~57000 out of ~150000. This is also the case when joining testHistory, offers and transactions. I get only ~40000 out of ~160000. Am I doing something/understading wrong? Cheers!",1,None,6,Wed May 21 2014 18:36:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8245,/competitions/acquire-valued-shoppers-challenge,682nd
/dataion,how to download big transactions.csv?,"All, I have tried three times, it downloads till ~2.5 GB, then breaks. I am not able to download. Any suggestions about how to go about this?",0,None,5,Wed May 21 2014 20:22:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8246,/competitions/acquire-valued-shoppers-challenge,288th
/utdiscant,Classification accuracy of 0.16837,"I was looking at the leaderboard and noticed the entry at the very bottom by S.K, obtaining a leaderboard score of 0.16837. Unless I am misunderstanding something, this should mean that by flipping all 1's to zeroes and 0's to ones, S.K would obtain a leaderboard score of 0.83163 due to this being a two-classification problem. Is there something here I am not seeing?",-1,None,3,Thu May 22 2014 09:23:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8247,/competitions/decoding-the-human-brain,90th
/namesj,Minimum System Requrements,I'm running 32bit Win7 OS and R 3.0.2 - 32 bit on my notebook with i7 proc. Please let me know if i'd be able to run these large data sets .,0,None,2,Thu May 22 2014 09:25:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8248,/competitions/acquire-valued-shoppers-challenge,743rd
/vishwanathanraman,Python Script to read the transactions.csv,"I have been struggling to read the mega file and do some data manipulation. Here is a jump start python script that I wrote to read the transactions.csv. I have added functions to convert the date into julian format and also the changed the product measurement unit to an integer. This can be used as an input to the read.big.matrix (bigmemory) in R. import csvimport sysimport timefrom jdcal import *import hashlib i_f = open( 'transactions.csv', 'r' )reader = csv.reader( i_f ) outFile = open('transMod.csv','wb')writer = csv.writer(outFile) headerline = reader.next()writer.writerow(headerline)lineNumber = 0stack = [0] for line in reader: print('lineNumber ',lineNumber) (year, month, date) = line[6].strip().split('-') lineNumber = lineNumber + 1 (longjd, jd) = (gcal2jd(year, month, date)) stack.append(line[8]) line[6] = jd line[8] = stack.index(line[8]) writer.writerow(line)",1,bronze,2,Thu May 22 2014 10:15:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8249,/competitions/acquire-valued-shoppers-challenge,466th
/dalgacik,Is it okay to publish an academic paper about the methods we used?,"I am new here, and just wanted to know if it would be okay to publish an academic paper about the methods we used for the seizure detection challenge?",0,None,1,Thu May 22 2014 15:10:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8252,/competitions/seizure-detection,None
/seebonk,Simplest Python kit,"Running Python 2.7.6. Results from the kit >>> This script computes the submission file with just a simple window on one variable DER_mass_MMCReading in training fileReading in test fileLoop on training dataset and compute the scoreLoop again to determine the AMS, using threshold: -22 AMS computed from training file : 1.52890675501 ( signal= 457.279138287 bkg= 89291.9121254 )Compute the score for the test file entries Loop again on test file to load the EventId, bdt score pairsSort on the score Build a map key: Id, value: rankFinal loop to write the submission file submission_simplest.csv You can now submit submission_simplest.csv to kaggle site>>> Now the AMS metric for submission_simplest >>> signal = 0.0, background = 0.0AMS = 0.0>>> I hoped for >0 to prove the scripts are working.",0,None,15,Thu May 22 2014 18:13:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8254,/competitions/higgs-boson,None
/tayshin,fread function in R,"Hi everyone. I've seen that many people in this forum suggest fread function to read transaction.csv. However, my computer couldn't even read. So I was wondering if any of you who successfully load the csv file could share how much ram that is setup in your computer. By the way, I am using 8gb ram so if anyone of you who has 8gb ram will not able to load transaction.csv in R, you might want to find other way to figure it out :(",0,None,5,Fri May 23 2014 04:51:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8258,/competitions/acquire-valued-shoppers-challenge,66th
/timalthoff,What is the evaluation metric used for leaderboard and final evaluation?,"I haven't been able to find that information and there are certainly a number of choices such as PR AUC, ROC AUC etc. Where do I find this information?",0,None,1,Fri May 23 2014 05:19:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8259,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,381st
/timalthoff,What is the evaluation metric used for leaderboard and final evaluation?,"I haven't been able to find that information and there are certainly a number of choices such as PR AUC, ROC AUC etc. Where do I find this information?",0,None,1,Fri May 23 2014 05:19:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8260,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,381st
/erwtokritos,ego-network into circles,"Hi all, I have a question about the final solution. Should all nodes (in the ego-network of a user) be assigned to a circle? Can we ignore some of them in the submission file? Thank you",0,None,2,Fri May 23 2014 14:55:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8263,/competitions/learning-social-circles,161st
/triskelion,Kaggle Inclass Badges,"Heya! I've noticed that the Kaggle Inclass Badges have been removed from the profiles. Is this on purpose or by accident? Can we not keep our existing badges? I found Kaggle Inclass from the badges on other Kaggler's profiles. I wouldn't have known otherwise. It is not like these competitions are too easy, they do have a fair bit of serious competitors putting in the time to rank well. I will keep doing Inclass competitions (if they aren't private) regardless, but liked the chance of winning that carrot: very rewarding.",1,bronze,2,Fri May 23 2014 15:28:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8264,None,None
/joyceyuan,How to link the repeatProbability with repeatrips?,"I have read the explanation of the data and aim of this competition. But I am confused that there is a field named repeatrips in the trainHistory, but we need to predict the repeatProbability for the testHistory. How to link these two things?",0,None,2,Sat May 24 2014 06:00:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8268,/competitions/acquire-valued-shoppers-challenge,None
/bhole176455,Measures,"Hi, Can someone please give / confirm the meanings of these* measures: CTFT - feet?GLLB - lbs?LT - liters?OZ - ozPTQTRLYD - yards? Thanks, Abhijit.",0,None,6,Sat May 24 2014 12:56:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8269,/competitions/acquire-valued-shoppers-challenge,None
/joycenv,Rank order for background- and signal-like events,"We have updated the [Link]:https://www.kaggle.com/c/higgs-boson/details/evaluation page to more explicitly remove the ambiguity about the rank ordering of events. Because of this ambiguity, many of you have interpreted a rank order of 1 to be the most signal-like event. In fact, we intended the opposite: The most signal-like event should have a rank order value of 550000. Other signal-like events should also have large integer values. The most background-like event should have a rank order of 1. Other background-like events should also have small integer values. If the rows were sorted by the rankOrder column, the class labels should read [b b b b b ... b s ... s s s s] for all 550000 items in the test set Please check that you are producing the rank ordering correctly when creating your submission files.",1,None,9,Sat May 24 2014 16:52:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8270,/competitions/higgs-boson,None
/joaoaparicio,K-means and categorical (binary) features,Is it a good idea ever to apply K-means to categorical features? Intuitively I would say this is a bad idea in general. Or does the type of feature not make a difference to K-means? Anyone wanna comment?,1,None,2,Sat May 24 2014 21:19:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8271,None,None
/magiceagle,Handling missing data,"How did you handle the missing data, as ""it can happen that for some entries some variables are meaningless or cannot be computed; in this case, their value is −999.0, which is outside the normal range of all variables""",0,None,3,Sun May 25 2014 00:46:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8272,/competitions/higgs-boson,469th
/christopherbeckham,Extracting pixel data from images,"I just put this repo up, potentially to help newcomers. http://github.com/chrispy645/kaggle-cifar10-extract It's a Python script that will automatically extract RGB pixel features from all the images in the training set. The script can easily be modified so that you extract greyscale pixels instead or apply it to the test set as well. If there any bugs let me know. Works perfect for me. :) Cheers",1,bronze,5,Sun May 25 2014 06:03:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8274,/competitions/cifar-10,None
/chenglongchen,"Predicted probability of is_exciting NO need to be [0,1]?","Hi all, I am struggling to use binary classification method (in specific GBM and RF) to reproduce the Essay Length Benchmark, but without success. In my previous submission, my local validation AUC is about 0.04 higher than public LB AUC. With only the essay length being the feature, I can only get around 0.53 with either GBM or RF. So that indicates a public LB AUC ~0.49 (I did not submit it). But in fact, the Essay Length Benchmark is with 0.54746 which is quite higher than that. So I wonder has anyone have success in reproducing that? I noticed in the data description page that: For each project in the test set, you should predict a real-valued probability that the project was exciting. So by far, I have assumed the predicted probability to be [0,1]. However, as the statement in the Essay Length Benchmark Submitting the number of characters in a project's essay It seems that you can just use the LENGTH as ""probability"" to make your submission. With the evaluation metric being AUC, this makes sense: only the actual ranking of the ""probability"" matters. If that is true, I might explore other options as well, e.g., regression, ranking, recommendation.",0,None,1,Sun May 25 2014 13:58:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8275,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,26th
/donchochelis,Aspect meaning,"I can not understand which the ASPECT field of the data means, Do you tell me please?",0,None,4,Sun May 25 2014 16:05:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8279,/competitions/forest-cover-type-prediction,1537th
/user140881,Make a submission,Do we need to make a submission according the to sample submission's projectid order?,1,None,2,Mon May 26 2014 04:54:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8281,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,53rd
/aronml,some datas in the data set is empty?,"e, In the outcomes.csv, some fields are empty? Wipe them out or fill them in ? puzzle my weak brain about it～",0,None,2,Mon May 26 2014 05:15:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8282,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,None
/shamikmondal,Is only Octave/Matlab good enough to start,"Hello , I am an absolute newbie to data science with thirst to learn a lot. I have learned octave and has taken Prof. Ng's Machine Learning class @ Coursera. While I keep on learning I want to dip my toe into Kaggle to learn while doing or at least learn from what others have done. My questions is whether knowing only Octave/Matlab is good enough to realistically do something on Kaggle or will it limit me? I would rather spent my time to actually do something rather than learn a new programming language/package. But if I do not have a choice I will have to. Please also suggest what will be a good starting competition for a newbie? Thanks for any help. -Shamik.",3,None,2,Mon May 26 2014 13:01:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8283,None,None
/karansarao,Did Kaggle get their user base scraped by Experfy?,"Just curious, as I received an invite citing ""Your name was recommended to me based on your impressive results in data mining and predictive analytics competitions in the past."". the only place I competed or participated was Kaggle and that too a while back. If Experfy has nothing to do with Kaggle, wondering how they got my name or email id? did others too receive such a mail?",0,None,12,Mon May 26 2014 16:39:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8285,None,None
/dawny33,Julia Programming Language,How does Julia fare in the domain of Data Science and Analytics? Is it worth learning for an aspiring Data Scientist?,1,None,6,Tue May 27 2014 07:05:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8289,None,None
/ericsaurus,NGram model,"I thought it would be fun to put together a simple n-gram model, using 5-grams through 2-grams. I just scan each possible combination of ngram, position in the ngram, and position of the missing word, and greedily choose the one with the highest count. This approach seemed to work as well as I thought it could on a small training set size. Some of the imputed words were ridiculous because of my small training set size, and the model is so simplistic. I am hopeful with 30 M lines and 8E8 words in the full training set it might do OK. But I wrote it naively in Python and the memory blew past my 8GB laptop. If I have time I plan to rewrite the python to using one trie to hold all ngrams. Here are some links that seem relevant: Scalable Modifed Kneser-Ney Language Model Estimationhttps://kheafield.com/professional/edinburgh/estimate_paper.pdf with code: http://kheafield.com/code/kenlm/ KenLM: Faster and Smaller Language Model Querieshttp://kheafield.com/professional/avenue/kenlm.pdf",1,bronze,1,Tue May 27 2014 08:21:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8290,/competitions/billion-word-imputation,None
/shan4104543,Standard Error for Area Under ROC Curve (C-Statistic),"Is there any simple way to find the standard error and/or a 95% confidence interval for the area under the ROC curve (c-statistic)? I could use bootstrap to do this, but I'm just wondering if there is any formula.",0,None,1,Tue May 27 2014 10:31:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8292,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,360th
/triskelion,Jumbled leaderboard,"The leaderboard is jumbled. It says I won, while I am pretty sure I did not win. I used a Random Forest-based approach. What did the winners use? There were some with 91+%, that is quite impressive.",0,None,1,Tue May 27 2014 16:40:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8293,/competitions/adcg-ss14-challenge-03,8th
/kazanova,Where does the data come from?,Is it possible to know who is actually providing the data?,1,None,1,Tue May 27 2014 20:10:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8295,/competitions/acquire-valued-shoppers-challenge,1st
/ambarish,Submission error,"I am trying to submit the submssion file and I keep getting the error. "" Expected 'id' column to be of type 'Int64', but was 'String'Unable to convert 'id' column row 1 value '445606573' to expected type 'Int64' "" Attaching the file also. I am not sure what I am missing. Any help would be appreciated. Cheers [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/47144/1302/predictionsSimple.csv",0,None,2,Tue May 27 2014 21:26:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8296,/competitions/acquire-valued-shoppers-challenge,635th
/rem1197545,Weights <=> Rank Order,I see that the weights (in training.csv) for 's' records are much lower than the weights for 'b' records. Is inverse weight order equivalent to rank order?,0,None,9,Wed May 28 2014 07:46:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8297,/competitions/higgs-boson,1204th
/jacktracy,Trouble loading 'transactions.csv' into R,"Anyone know a way to load 'transactions.csv' into R on a 32-bit 3GB RAM machine? Is it even possible? If not, would a 64-bit 4GB or a 64-bit 8GB RAM machines be able to handle it? thanks",0,None,5,Wed May 28 2014 09:39:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8298,/competitions/acquire-valued-shoppers-challenge,687th
/chaotic,AUC,"Hi, Sorry it might be a very silly question, I am not sure about how to compute AUC between predicted and correct labels. Can someone provide a formula (matlab/python script would be great). Secondly, how would AUC translate to ""These early clips are double counted because early detection is critical to successful intervention with a responsive neurostimulation device.""",0,None,7,Wed May 28 2014 11:56:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8299,/competitions/seizure-detection,68th
/rmk1989,Master's Programs a good preparation?,"Hey! I'm new to the field of data science and have been trying to do a lot of self-learning on Python, R, SQL and data modeling. But I think I would do a lot better with a formal education. I've been accepted into two masters programs which I am considering for this fall. I am hoping an MS could prepare me with the skills needed to be a data scientist. Fordham Business School's MS in Business Analytics Baruch Zicklin School of Business's MS in Quantitative Methods and Modeling What are you thoughts on doing a master's program vs learning on your own? Is it worth it? Also which program would be better suited and be better preparation to be a data scientist? Should I consider doing a PHD in statistics/machine learning? Any thoughts, words of advice, etc. would be extremely helpful! (I'm also looking at some of the resources I found through Kaggle - Open Source Data Science Masters & Whizage)",0,None,1,Wed May 28 2014 18:05:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8303,None,None
/daniel201627,Using this task for a master's thesis,"I searched the websites and forums but haven't found a satisfying answer to my question. I would like to use this task, and therefore the data, for my master's thesis in Computer Science. Is it allowed to be used for this purpose? Best regards, Daniel",0,None,2,Wed May 28 2014 19:08:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8304,/competitions/higgs-boson,1683rd
/user191111,fulfillment_labor_materials ?,"Hi all, Does any one knows the meaning of 'fulfillment_labor_materials' in projects.csv ?",0,None,2,Thu May 29 2014 04:46:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8309,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,53rd
/chaotic,No ictal segment in patient 4 where latency>15s,"is this intentional that no ictal segment for patient 4 has been provided where latency>15s i.e., no not-early ictal trial. It would have been helful if we had a few. Only 20 ictal trials have been rpovided where latency<15s. Any ideas?",0,None,1,Thu May 29 2014 16:13:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8314,/competitions/seizure-detection,68th
/bjameshunter,Shiny app with record_type = 1,"Hi, I'm no whiz with machine learning, but dabbled in this contest anyway. I made a shiny app for exploratory analysis on the observations with record_type = 1 using dimple.js and a d3 visualization by Jason Davies (credit where it's due). https://mostlyconjecture.shinyapps.io/shiny_kaggle_app/ I just got into the ShinyApps alpha testing group, so I can host it for free.",3,None,2,Fri May 30 2014 00:20:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8318,/competitions/allstate-purchase-prediction-challenge,1267th
/hassiktir,Does anyone want to form a team?,"Hey, thought this would be more fun to work together with some people. If you are interested in working together please respond to this with some form of contact",0,None,31,Fri May 30 2014 07:18:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8320,/competitions/bike-sharing-demand,60th
/akashsaluja,Handwritten Character Recognition,"I am doing a project in which I am supposed to recognize isolated written characters, characters can be A-Z, a-z, 0-9 and a few special symbols. I am searching for some library in python, R or any open source language. I tried Lipi Toolkit, Pytesser and found their results not satisfactory. Are there any better libraries for the same?",8,None,1,Fri May 30 2014 09:02:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8321,None,None
/jackhan1,productmeasure,"What does the CT in the variable of productmeasure stands for? Carton? And how many ounces one CT is? Thanks, Jack",0,None,1,Fri May 30 2014 10:53:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8324,/competitions/acquire-valued-shoppers-challenge,408th
/chaotic,"Continuous Probabilites better than discrete classes, is it acceptable?","Hi, I was wondering if it is ok to submit probablilits between 0 and 1 instead of discrete classification of 0 and 1 for early and seisures. I have noticed that AUC can be improved when submitting values between 0 and 1 instead of discrete 0 and 1. The submission system do accept continuous values such as: Dog_1_test_segment_1.mat,0.11,0.05Dog_1_test_segment_2.mat,0.22,0.11Dog_1_test_segment_3.mat,098,0.12 Is this acceptable?",0,None,3,Fri May 30 2014 11:51:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8326,/competitions/seizure-detection,68th
/akashsaluja,Handwritten Character Recognition,"I am doing a project in which I am supposed to recognize isolated written characters, characters can be A-Z, a-z, 0-9 and a few special symbols. I am searching for some library in python, R or any open source language. I tried Lipi Toolkit, Pytesser and found their results not satisfactory. Are there any better libraries for the same?",5,None,3,Fri May 30 2014 12:11:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8327,/competitions/digit-recognizer,None
/endintears,What wins competitions?,"I was wondering if experienced Kagglers could share what they've found to have the biggest impact on the performance of their solutions so I can have a better idea of where to focus my efforts. Here are some things I suspect it might be: Dealing with missing values Other data cleaning Choice of modelling approach Ensembling Dealing with class imbalance Engineering features Maybe it's something I've not mentioned, or a combination, or it depends entirely on the problem - any insight would be appreciated!",0,None,4,Fri May 30 2014 16:17:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8330,None,None
/cmadan,Date use for teaching after competition concludes,"Hi! After the competition has concluded, am I allowed to use the data from this competition as an example dataset for teaching? I ask because this would technically involve students discussing the data, and potentially me giving them some starter code, that would be unavailable to others who want to attempt the competition. Since I'm strictly asking with the idea of doing this *after* the competition has completed, I don't think this constitutes an unfair advantage to anyone. What do you think?",0,None,7,Fri May 30 2014 16:49:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8331,/competitions/decoding-the-human-brain,None
/rams201632,Can someone please explain what casual means,"what does: ""number of non-registered user rentals initiated"" mean, in simple words?",0,None,4,Fri May 30 2014 18:45:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8332,/competitions/bike-sharing-demand,2635th
/djsensei,Submission calculation popup hanging?,"I uploaded a new submission (for the Higgs contest) about 15 minutes ago, but after the upload completed (in a typically speedy couple of seconds), the light bulb ""calculating results"" popup has remained in place for much longer than it usually does. Is there an issue with the server or is my submission just so great that CERN needs to be contacted directly? (Also, thanks for evoking TI-89 nostalgia with the flavor text. Those were the days!)",0,None,2,Fri May 30 2014 21:15:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8336,None,None
/wcukierski,New test set file,[Link]:https://www.kaggle.com/users/37682/francis caught a leakage feature in the original test set file (the user flair indicates pizza status). I've posted a new version. You should re-download if you have downloaded prior to this post (or remove 'requester_user_flair' from your test set).,2,bronze,4,Sat May 31 2014 03:57:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8341,/competitions/random-acts-of-pizza,None
/marks1,Area Under Curve question,"I recently started working on this challenge, and I have a question that I hope someone can help me out with. My first submission was using a very simple model (not even using the transaction data) which unsurprisingly scored rather poorly (0.50959). As my next step, I decided to implement a cross-validation step, by splitting the training data into 6 parts, alternately training the model on 5 of them, and then scoring it on the remaining part. This gives 6 sets of predictions, which generate 6 ROC curves. My cross-validation and ROC code is adapted from [Link]:http://scikit-learn.org/stable/auto_examples/plot_roc_crossval.html#example-plot-roc-crossval-py. The funny thing is, when using this code, the AUC numbers I get back are significantly higher (0.67 +/- 0.02) than the score my submission got, and even higher than the top of the current leaderboard. I can think of a few possible explanations why this could be happening, but none of them seem plausible to me: scikit-learn and Kaggle are calculating the ROC and/or AUC differently. Seems unlikely, because it's not that complicated of a measure. I'm overfitting my model. Seems very unlikely since I'm using a simple classifier on the training data, without tweaking parameters, and without using the transaction data. The disparity comes from the difference between the training data and the test data. This is possible, since the two datasets are from two nonintersecting (but neighboring) time intervals. However, such a large change seems unlikely to me. On the other hand, it would explain something else I've been wondering about: it strikes me that the leading scores are still quite low, effectively only 25% better than pure chance (0.62 / 0.50). I don't have much experience in machine learning, but I would intuitively think that with the amount of data available in this challenge, that it should be possible to score substantially higher, assuming of course the data is relevant. I guess what I'm asking is, has anyone else done the same exercise of calculating AUC on part of the training data, and seen a similar gap? Or, is there a much simpler explanation that I'm missing?",0,None,3,Sat May 31 2014 23:20:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8346,/competitions/acquire-valued-shoppers-challenge,773rd
/chaotic,Using test set distribution,"Hello everyone, I was wondering that is it ok to use the test set distribution information in training the prediction model. I am just worried that the test set distribution will not be available in real time application hence the model will not be practical. Such as implementing the covariate shift method by using the test set distribution to tweak the prediction model. In short, can the information from test set be used to readjust the prediction model or only the training samples are allowed to be used in the prediction model? Cheers",1,None,11,Sat May 31 2014 23:26:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/8347,/competitions/seizure-detection,68th
/salimali,Will the private set be enhanced?,"Will the private leaderboard data set be enhanced as more projects get an outcome as time passes, or is it locked in to what it was when the comp started? If the latter, then why did you give us the info on the projects where the outcome is yet to be determined?",0,None,1,Sun Jun 01 2014 15:34:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9350,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,22nd
/mridulkhan,Channel name to location of electrode,"Are these channel names from some standard? I was expecting something like the 10/20 system but can't figure out where these names came from. Concretely, is there a way to infer electrode positions from channel names?",0,None,4,Mon Jun 02 2014 00:28:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9354,/competitions/seizure-detection,None
/clustifier,Weka Gradient Boosting,"Hi, Is there a Gradient Boosting implementation on Weka? Thanks, C",0,None,13,Mon Jun 02 2014 10:17:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9356,/competitions/higgs-boson,24th
/glouppe,Ranking finalization,"Dear organizers, Are the post-challenge verifications over? We are curious to finally see the whole final rankings :) Best regards, Gilles",0,None,8,Mon Jun 02 2014 14:07:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9358,/competitions/connectomics,1st
/hollyheglin,Total newbie question for a kind soul!,"Hello folks, I want to get some data skills and was told to try the data sets on this site. I have a Phd in math (undergrad in stats) and solid python skills. I've been studying up and watching lectures on machine learning (my goal is to do a first project soon). I did algebraic combinatorics so I have no experience working with large data sets. Can somebody give me a nice little rundown of some basics that I can try on one of the data sets that are on here (using python)? Or point me to a nice tutorial that uses python for data analysis and recommend a data set to start with. I would appreciate anything - I'm a sponge at this point :) and just need a kickstart to see how some basic tools work. thanks!",0,None,5,Tue Jun 03 2014 00:41:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9364,None,None
/maddyonline,Request for network dataset with time stamps,"Hi, I am a postdoc researcher at Sandia labs working on streaming algorithms for counting triangles. (See example [Link]:http://arxiv.org/pdf/1212.2264v3.pdf and [Link]:http://arxiv.org/abs/1310.7665.) To evaluate our algorithms, we need graph datasets where edges have timestamps. An ideal data set would be a collection of edges with a timestamp associated with each edge. Any suggestions where can I find such datasets? Thanks and Regards Madhav",0,None,3,Tue Jun 03 2014 23:13:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9372,None,None
/specialops,Question regarding delta function in Stanford paper,"Hi, I was reading up on the Stanford paper and I came across an unexplained problem. On page 3 between equations (2) and (3), a shorthand is produced, which defines the following function: dk(e) = δ(e ∈ Ck) − αkδ(e /∈ Ck) My question is, what exactly is this δ. It isn't defined earlier in the paper. Does anyone else have any insight on what this is supposed to be?",0,None,12,Wed Jun 04 2014 05:47:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9375,/competitions/learning-social-circles,179th
/henrilin28,submission error,I have a submission error and I can understand why. I m new to here I just want to try out @razgon's method that posted in gbm. I will be appreciated if someone help me. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/48591/1315/螢幕快照 2014-06-04 下午12.04.11.png,0,None,8,Wed Jun 04 2014 06:08:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9376,/competitions/bike-sharing-demand,1296th
/ziyaowei,No exciting projects prior to 2010-04-14?,"I might be wrong but it seems there are no exciting projects before 2010-04-14? Are there business reasons, or are there simply nothing exciting way back in the last decade?",0,None,2,Wed Jun 04 2014 06:12:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9377,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,294th
/thangtran0,Undergrad CS looking for some help/clarification,"So I'm an senior from the University of Washington Tacoma and picked to work on this problem as part of my Data Mining elective class. This thread was made so I could get some clarification and ask some questions about the data as long as it does not violate any rules. This is my first Kaggle project so please forgive me if I overstep my boundaries. For the training data, the -999 is stated as: ""it can happen that for some entries some variables are meaningless or cannot be computed; in this case, their value is −999.0, which is outside the normal range of all variables"" Does this mean their value is beyond the range expected of a value for that particular attribute or just an unknown value? I'm obviously asking this because I'm wondering what I should do with those values. Predict new values or just ignore them?Does anyone have an intuitive explanation for why AMS is used the metric for the competition? Reading the math through the documentation did not really help my understanding.Finally, are there any instructions for the .py file? Do I place the associated files in the same folder as the .py file? Am I a little bit over my head with this project? I'm only looking to do better then the benchmark default. Though my deadline is 2 weeks away.",0,None,1,Wed Jun 04 2014 08:22:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9378,/competitions/higgs-boson,1520th
/wanchientan,.LIBSVM format file problem,"How to use the .LIBSVM format file in matlab? I have try using libsvmread, but failed.",0,None,4,Wed Jun 04 2014 12:05:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9379,/competitions/wise-2014,120th
/abhishek,Labels significance,"Hi, Are the labels in the train data ordered in decreasing order of their significance?",0,None,2,Wed Jun 04 2014 12:08:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9381,/competitions/wise-2014,51st
/chaotic,Max achieveable AUC,"Hello everyone, Looking at the top of the leaderboard with max AUC of ~0.95, I think that might be the maximum limit for the achieveable AUC. As there are artefacts as well as possible errors/human-inconsistency in marking seizure onset by the expert in original data. Furthermore, to get perfect classification, the algorithm must accurately distinguish between 15s and 16s seizure which is impossible to get right all the time, as the onset of seizure is fuzzy and expert marking the seizure cannot be always consistently accurate. I think if the same expert marks the dataset again visually, he might get AUC of around 0.95 compared to the original marking. I think theoratical limit might have been reached, and maybe beyond that, as a result of possible overfitting. This is just a thought and i may be completely wrong! what do you people think cheers",0,None,9,Wed Jun 04 2014 14:51:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9382,/competitions/seizure-detection,68th
/saddlethen,MATLAB Starter Code,"Here’s some starter MATLAB code I used that imports and merges data, then fits a simple classification tree and generates a submission file. I was able to beat the essay length benchmark with this approach, but I'm sure it could be improved upon with more advanced ML techniques. The code includes functions for importing the data into MATLAB, and a published html file if you want to take a quick look at what I did. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/48636/1317/kddcup_matlab.zip",4,bronze,4,Wed Jun 04 2014 18:19:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9384,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,339th
/andrewmunro,General Data Science Questions for wind and electric load data,"Hello, I am a total noob at data science and am trying my hand at some. Is there a forum, either Kaggle or non-Kaggle, that I can post some questions on how best to evaluate my data? I am using Python. Basically, I have a year of wind generation data and electrical load data in 5 minute intervals. Basically Load - Wind = NetLoad I want to come up with a way to show what the NetLoad will look like in 2030 assuming the load is increases from a max of 3500 MW to 6000 MW, and the wind generation increases from 145 MW to various levels; 10%=600 MW, 20%=1200 MW, and 30% = 1800 MW. The attached .csv file has three columns: Datetime = the date and time in 5 minute intervals Wind = output (in MW's) of a wind farm LOAD = electrical system load (in MW's) With more wind, it makes the electrical load harder to regulate for the electrical utility. So the change between 5 minutes is what needs to be regulated. Can someone help point me in the right direction? Any help would be appreciated! Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/48638/1318/5MinuteData.csv",0,None,2,Wed Jun 04 2014 18:40:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9385,None,None
/amitsinha1,Reading in the Data (Python),"Hi, this may sound like a beginner's question but I was having some issues when trying to read in ""training.csv"" in Python. I created two ""test"" files, one that only has the first 10 rows of data in training.csv, and one file that has the same # of rows & columns but all have the same integer value to test my code so far. I tried my code on both of these files and it appears to work the way I want it to, where I can just edit the indexing of Z in genfromtxt's ""usecols"" field to read a specific range of columns in my CSV. #----------------------------------------------------------------------------------------------------------------------------------- import numpy as npimport array Z = array.array('i', (i for i in range(0, 40))) with open('data/training_edit.csv','r') as f: data = np.genfromtxt(f, dtype=float, delimiter=',', names=True, usecols= (Z[0:32])) print(data) #----------------------------------------------------------------------------------------------------------------------------------- But when I use this code with the original CSV I get this kind of output and I don't know why: #----------------------------------------------------------------------------------------------------------------------------------- Traceback (most recent call last):File ""/home/user/PycharmProjects/H-B2/Read.py"", line 74, in <module>data = np.genfromtxt(f, dtype=float, delimiter=',', names=True,usecols=(Z[0:32]))File ""/usr/lib/python2.7/dist-packages/numpy/lib/npyio.py"", line 1667, in genfromtxt raise ValueError(errmsg)ValueError: Some errors were detected !... Line #249991 (got 1 columns instead of 32)Line #249992 (got 1 columns instead of 32)Line #249993 (got 1 columns instead of 32)Line #249994 (got 1 columns instead of 32)Line #249995 (got 1 columns instead of 32)Line #249996 (got 1 columns instead of 32)Line #249997 (got 1 columns instead of 32)Line #249998 (got 1 columns instead of 32)Line #249999 (got 1 columns instead of 32)Line #250000 (got 1 columns instead of 32) Process finished with exit code 1 #----------------------------------------------------------------------------------------------------------------------------------- Has anyone else encountered this sort of issue when using python for reading the CSV files?",0,None,9,Thu Jun 05 2014 00:53:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9391,/competitions/higgs-boson,701st
/mohitsinha1,Ensenble using Stanford Sentiment Analysis + ??,Has anyone attempted an ensemble using Stanford Sentiment Analysis and other approaches? It seems the Stanford Sentiment Analysis framework gets you in the top 20 out of the box (no need to train at all!!). So perhaps combining this with other algorithms might give better results. Anyone exploring this direction?,1,None,1,Thu Jun 05 2014 08:00:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9393,/competitions/sentiment-analysis-on-movie-reviews,154th
/chanfuku18,My R code is too slow!,"Hi, everyone, I would like to make my data set like Triskelion's in another thread, but it is not successful because my code is too slow in R. Here is my code sample: for(i in 1:nrow(dtrain)){ dsub<-reduced2[reduced2$id==dtrain$id[i],] dtrain$has_bought_company[i]<-nrow(dsub[dsub$company==dtrain$company[i],]) ........} I made dtrain by combining ""offers"" with ""trainHistory"". Then I count up how many times the shopper has bought the company. Is there any faster code or is it better to use another tools such as python / SQL?",0,None,2,Thu Jun 05 2014 08:56:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9394,/competitions/acquire-valued-shoppers-challenge,16th
/ankitsharma4,Random Forest,I am a new comer.I submitted a file using random forest and got a score of 0.96.How can i improve the efficiency by modifying the data set? Is random forest fine or do i need to use some other algorithm ? Which algorithm would give best results ?,0,None,1,Thu Jun 05 2014 13:41:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9396,/competitions/digit-recognizer,None
/siddharthagrawal,Handling Meaningless Data,"Hi, I'm not a very experienced Kaggler, and often find myself leaving competitions as I'm not able to translate the provided data into meaningful values. For this particular competition, I don't know how to handle the '-999's in the provided data. Just for trial, I tried out a simple logistic regression model, but the the error on the training set itself gives a value of around 0.6. I'm guessing the '-999's introduce a lot of bias. Any advice for this problem or in general is welcome.",0,None,5,Thu Jun 05 2014 16:41:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9397,/competitions/higgs-boson,None
/cannonmatt,season,"Is it correct that ""season"" = 1 when the month is January, February or March? The data description indicates that 'season'=1 corresponds to spring.",0,None,4,Fri Jun 06 2014 02:46:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9401,/competitions/bike-sharing-demand,131st
/abhishek,1 entry per day?,Is it for real or some kind of mistake happened here? :D,0,None,4,Fri Jun 06 2014 09:08:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9402,/competitions/mlsp-2014-mri,245th
/vateeshc,How similar are the purchasing behaviours between train & test?,"In regards to the large or unwanted variance in performance between the train and test sets, it will be worth undertaking an analysis to see how similar or different for that matter are the 2 sets in terms of the features generated for modelling. I plan to do this next as I am seeing these variances in my models performance. Something as simple as comparing the density plots and/or q-q plots of each feature in the train and test sets or for the ones that prove to be troublesome. Just a thought. happy to hear what the others think...",0,None,1,Sat Jun 07 2014 01:19:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9407,/competitions/acquire-valued-shoppers-challenge,630th
/wenflybywind,Does vw need feature normalization?,"From the manual it seems vw can do an active, per feature learning so normalization is unnecessary. Am I right ? From the examples in its github, I see the features are not normalized neither.",0,None,2,Sat Jun 07 2014 05:06:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9408,/competitions/acquire-valued-shoppers-challenge,330th
/minfuyang,Submission error,"I got ""Evaluation Exception: Submission must have 151484 rows"" error when submission, but ""wc -l ${submission_file}"" shows 151484. I use following python to generate submission file: """""" submission_file = open('data/submission.csv','wb')submission_file.write('id,repeatProbability\n')for i, predicted_repurchased_times in enumerate(prdiect): submission_file.write(test_histories[i].user + ',' + str(predicted_repurchased_times) + '\n')submission_file.close() """""" What's wrong with my code for generation file or the evaluation program???",0,None,2,Sat Jun 07 2014 16:00:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9409,/competitions/acquire-valued-shoppers-challenge,701st
/rohit49,categorical features in vowpal wabbit,"What is the best way to incorporate features which take finite values (like measure - OZ, CT, RL, LB etc) in VW ? Thanks",0,None,1,Sun Jun 08 2014 13:31:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9415,/competitions/acquire-valued-shoppers-challenge,209th
/asarya,Handling Mixed data ( Numerical and Categorical),"Guys, I am new to Data Mining and was wondering if some of the more experienced people here can provide some feedback. My questions is about how you deal when you have mixed data like in projects.csv. Lets say I want to use SVM, which expects only numerical values. w Can I convert the categorical features to just unique integer values or am I supposed to binarize each feature, which will significantly increase feature dimensions ? I tried converting each categorical column to unique integer values, and then scaled it between 0 and 1. I then used logistic regression to classify , but it ended up predicting everything as non_exciting.",1,bronze,5,Sun Jun 08 2014 19:02:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9417,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,310th
/mpearmain,Reading arff data into R,"Is anyone else having issues reading the .arff data into R? I try: library(""foreign"")wise.train <- read.arff(""wise2014-train.arff"") #wd is set to current dir Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : scan() expected 'a real', got '{01' Any ideas?",0,None,3,Mon Jun 09 2014 05:21:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9420,/competitions/wise-2014,97th
/bellar,test set >> training set,"Hi, I was just curious why the test set is much larger than the training set. Usually it's the other way around.. Is this a semi-supervised learning problem?",0,None,1,Tue Jun 10 2014 05:37:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9428,/competitions/mlsp-2014-mri,None
/jbejar,Cheaters on the leaderboard,There are around 15 users at the end of the leaderboard that send their submission 5 minutes apart of each other and each one increases the accuracy in one example from the previous user. This has been going on for several days. I think that all are the same user that is trying to guess all the labels. He has already 30%.,0,None,1,Tue Jun 10 2014 07:49:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9429,/competitions/decoding-the-human-brain,7th
/saraatitoali,offline submission,"Hello, This is my first competition on Kaggle so sorry if my question is naive! I wonder if there is a way to evaluate test samples without submit the results? as it's hard to wait one day between each experiment! regards,",0,None,8,Tue Jun 10 2014 14:50:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9431,/competitions/mlsp-2014-mri,None
/minyubb,Model Methods & Tuning Parameters,"Hi Kagglers, I started working on this competition. After going through the three R tutorials and trying Random Forest and Logistic Regression, I hit the score of 0.8. As I believe there is still space for improvement, I have started looking for classification methods online. There are so much more! This has prompted me to begin this thread. Currently there are 119 classification methods in caret package alone. When we build predictive models, shouldn't we do a loop through all classification methods with transformed predictors or features selected? I have asked an experienced Kaggler about this question and his responded that his selection of methods was often determined by experience. However, for a new Kaggler like me, I find it difficult to select methods (given that I am not familiar with some of the methods at the first place). How do you select methods? Or do you often begin with the methods you know? Or do a loop through methods and then explore a couple which gives good results (this often is time-consuming). Another thing that I want to ask about is parameters tuning. I am using R caret package and the train function can help me tune parameters automatically. For instance, mtry is tuned for Random Forest. It seems that other parameters like ntree, nodesize, sampsize are also worth tuning. Can you please share your approach of doing this? Which parameters are sensitive to different classification methods? Your help is much appreciated. Minyu",0,None,2,Tue Jun 10 2014 23:42:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9433,/competitions/titanic,None
/felipeo,How many trips did customer #712.692.969 make?,"In the transactions.csv file, I found that customer #712.692.969 had 1 transaction on 2013-04-21. I discovered this from an SQL table I created with transacitons.csv, but the following Python code can confirm: f = open(""transactions.csv"", 'rb', 1024 * 1024 * 128)for line in f: if ""712692969"" in line: print line # output: 712692969,89,21,2119,108079383,6926,2013-04-21,144,OZ,3,11 On the other hand, from trainHistory.csv line #72.077 we have: 712692969,89,1208329,16,8,t,2013-04-29 which implies 8 repeat trips and says the customer was a repeater. Since the offer came after the transaction this would seem to contradict the transactions.csv data. Did I mess this up? Am I misinterpreting the repeattrips column? I.e., do these repeat trips include trips after the cutoff of transactions.csv?",0,None,2,Wed Jun 11 2014 05:02:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9435,/competitions/acquire-valued-shoppers-challenge,482nd
/mg2207367,submission after July 14?,"Hey, I am quite interested in this dataset and would like to know whether it will be still possible to submit solutions after July 14 in case I find out new techniques or have an idea I'd like to test and still getting the score feedback. Many Thanks",0,None,2,Wed Jun 11 2014 08:25:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9442,/competitions/acquire-valued-shoppers-challenge,None
/brewkode,Submission HiggsBoson failing.,"I'm trying to make my first submission for Higgs Boson. I've made predictions on the test file and produced a submission file. I've also computed Rank order which obeys the fact that, predictions that are named background have low values for Rank order(1) and most signal-like prediction have the highest value(550000) ie., if I sort the whole predictions file using RankOrder, I get all data points which have been called background and then followed by all data points called signal. When I make the submission, I get error like below: ERROR: Unable to find 349999 required key values in the 'EventId' column ERROR: Unable to find the required key value '550001' in the 'EventId' column ERROR: Unable to find the required key value '550002' in the 'EventId' column ERROR: Unable to find the required key value '550003' in the 'EventId' column ERROR: Unable to find the required key value '550004' in the 'EventId' column ERROR: Unable to find the required key value '550005' in the 'EventId' column ERROR: Unable to find the required key value '550006' in the 'EventId' column ERROR: Unable to find the required key value '550007' in the 'EventId' column ERROR: Unable to find the required key value '550008' in the 'EventId' column ERROR: Unable to find the required key value '550009' in the 'EventId' column. I couldn't make out what this means. Can someone please help?",0,None,5,Wed Jun 11 2014 10:15:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9443,/competitions/higgs-boson,1221st
/jkippels,What Hardware for Kaggle Competitions?,"Hello, I started with my first kaggle competition and I my pc is struggling :/ So I would like to get a number cruncher pc to handle all my calculations. I use Python for kaggle competitions. One good thing is that scikit-learn can use parallel computing for some functions. So I have 4 threads computing (core i3 3245 HT dualcore), but most of the time only 2 virtual cores are at 100%, 2 others at 10-20%. Furthermore I can´t enter all competitions since the data size is too huge for my RAM. What hardware do you people use or suggest for kaggle?",0,None,5,Wed Jun 11 2014 16:40:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9444,None,None
/bullwinkle2059,"New to Kaggle, looking for a team",I have my MBA and am working on my dissertation for my PhD in math. I have an internship where they recommended gaining some skills through kaggle competitions. I am here to learn and gain experience. Is anyone open to bring a someone fresh to the game on board?,0,None,16,Wed Jun 11 2014 17:26:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9446,/competitions/forest-cover-type-prediction,None
/bullwinkle2059,Looking to get experience,I have an MBA and am all but dissertation for my PhD in math. The internship I have recommended using Kaggle to gain skills. Is there a group who is willing to take on a new member so I can learn more about the thought processes and gain some real experience. I'm just trying to gain knowledge. Thank you for your time and I look forward to hearing from you.,0,None,1,Wed Jun 11 2014 17:29:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9447,/competitions/billion-word-imputation,4th
/hoefferd,Exact same score with different models?,"I was working late last night on this challenge, and could not submit my new predictions yet due to the submission limit. This morning I woke up early, submitted by predictions, and to my surprise got exactly the same score. Now I'm wondering if in my pre-coffee confusion I submitted the old predictions by mistake. Is there a way to say how likely that is? Old model: SVM built from all predictors New model: Random forest averaged with the old model, weighing the old model a bit more (6:4). Old and new make the same prediction only in the case of predictions that are exactly 0.5, of which there are 78.",0,None,2,Thu Jun 12 2014 10:13:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9451,/competitions/mlsp-2014-mri,37th
/alexandrekowalczyk,Is this normal that there is only 200 distinct labels in the training set?,"I loaded the libsvm training set and selected all distinct labels. There is no training example with label 23, 99 and 154 Is this also the case for the prediction data? I don't see how we can predict these class if they are not in the training set.",0,None,1,Thu Jun 12 2014 21:38:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9455,/competitions/wise-2014,67th
/viennamike,Research paper: weather and DC bikeshare,"Participants in this contest may be interested in the paper "" [Link]:http://phillymotu.files.wordpress.com/2013/04/the-impact-of-weather-conditions-on-capital-bikeshare-trips.pdf.""",12,bronze,2,Thu Jun 12 2014 22:49:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9457,/competitions/bike-sharing-demand,2674th
/nesciemus,So the Additional Information is only of one patient?,Is this information for reference only?,0,None,1,Fri Jun 13 2014 03:56:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9460,/competitions/mlsp-2014-mri,192nd
/bigboy0,Many new teams jumped out between 80th to 100th.,Is someone cheating ?,0,None,3,Fri Jun 13 2014 08:42:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9462,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,145th
/domcastro,Just Nosey - Why do some competitiors have (MLSP) in brackets,Title says it all. EDIT as per usual I didn't read the instructions properly. I see it is you wish to attend conference,0,None,1,Fri Jun 13 2014 19:41:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9464,/competitions/mlsp-2014-mri,None
/anshul,SAS for feature extraction,"Hi, I am new to Kaggle, so wanted to ask if it is alright to use licenced SAS for creating features?",0,None,1,Fri Jun 13 2014 20:26:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9465,/competitions/acquire-valued-shoppers-challenge,41st
/brjoe10,Good Research at Microsoft,"http://research.microsoft.com/en-us/projects/scc/ research.microsoft.com/pubs/163344/semco.pdf http://research.microsoft.com/pubs/157031/MSR_SCCD.pdf http://scholar.google.com/scholar?es_sm=94&um=1&ie=UTF-8&lr=&cites=2298850427351385569 http://arxiv.org/abs/1206.6426 http://machinelearningtrends.com/2014/cloze-deletion-tests-road-to-nlu-and-strong-ai/ http://papers.nips.cc/paper/5165-learning-word-embeddings-efficiently-with-noise-contrastive-estimation https://www.cs.toronto.edu/~amnih/posters/wordreps_poster.pdf http://videos.xrce.xerox.com/index.php/videos/index/638 I've been following cloze deletion test / word imputation / fill in the blank questions for a long time and was really excited to see this competition. I'd like to see progress in this field so I will add more as I come across it. The nips paper is especially interesting because Deepmind (yeah the one google paid a lot of money for and facebook almost bought) published results on this task. ""We also applied our approach to the MSR Sentence Completion Challenge [19], where the task is to complete each of the 1,040 test sentences by picking the missing word from the list of five candidate words.""",4,bronze,2,Sat Jun 14 2014 05:21:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9466,/competitions/billion-word-imputation,None
/simonchia,Running this using KXEN,"hello all, a newbie here. Is anyone running this model off KXEN? Was hoping to generate a discussion here on it.",0,None,1,Mon Jun 16 2014 15:06:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9479,/competitions/acquire-valued-shoppers-challenge,None
/mahehu,Release of ground truth?,"After almost one year from the competition, I hope someone still receives my message... However, is there a possibility to get hold of the ground truth for the test data? We are still looking at the data every now and then.",0,None,1,Mon Jun 16 2014 15:10:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9480,/competitions/mlsp-2013-birds,7th
/activegalaxy,This Contest is a Sham,"This contest is a sham. The correct sentiment values are available from Stanford on the internet. With those I can arbitrarily force any score. I just set 70%, 5% above the current leader, to get #1. BFD. The only contest left is to be the first pig to root out the data and score 100%. (Actually there were 17 sentences that didn’t match but I don’t care any more.) I still can't believe this. Kaggle is failing us.",0,None,5,Mon Jun 16 2014 21:51:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9482,/competitions/sentiment-analysis-on-movie-reviews,393rd
/zyberro,Newbie - practical information,"HiI am new to this area but found it very interesting to work with such a large data set. I have started to play around with it and will consider joining the competition.I have read all the posts on this forum and also read the wiki – “Entering your first submission”. Maybe the latter one makes sense for you guys but I found it a little bit cryptic.So I am trying to ask some simple questions: I have seen the sample-submission file. Is the number a flag trying to predict if the customer will be repeater or not or is it a number between 0 and 1 describing the probability for that the customer will be a repeater? Is it only this file I am submitting, or do I need to submit documentation of the algorithm I have used to generate the file? (I do not expect to win, but I have seen the template required for winners). And is it just to start submitting or do I have to sign up in any way before submitting? I have got a user for Kaggle. I am using QlikView to look into the data set and to get familiar with the data. I am not sure if I will look into other tools at a later stage, but if I should ending up building a model in QlikView do anyone know if this should cause any problems competition? Zyb",0,None,1,Tue Jun 17 2014 00:32:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9484,/competitions/acquire-valued-shoppers-challenge,905th
/derekzh,Feature Engineering and categorical variable question,"Hi forum, First thank you for the experts who have shared their approach in getting newbies started. I am following Triskelion's approach to generate features, and got into this question: should one leave the variables such as company, brand, category, and chain in the feature set? Clearly these variables have prediction power, as different company / categoery / stores may have inherently different characteristics that encourage or repel repeated purchase. However, if I were to include these variables as features, I find that feeding them directly into a logistic regression or random forest may not make sense, as the apparent ordering of the values does not mean anything (for example, companies 1324 and 3212), but logistic regression will assume ordering. How do you deal with this problem and utilize the predicting power of these variables? Thank you!",1,bronze,3,Wed Jun 18 2014 00:22:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9489,/competitions/acquire-valued-shoppers-challenge,241st
/dyakonov,It is very strange...,lines from wise2014-train.libsvm: 71 1123:0.002995 1126:0.041020 2507:0.056760 ...26 1123:0.002995 1126:0.041020 2507:0.056760 ... or 115 1123:0.001518 2507:0.048721 4275:0.021064 ... (line №956)115 1123:0.001518 2507:0.048721 4275:0.021064 ... (line №971),0,None,2,Wed Jun 18 2014 19:30:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9492,/competitions/wise-2014,1st
/vincent6,Workshop at ECML - extended deadline 30 June,The final ranking (due to code verification) was delayed. This ranking is going to be very soon given Therefore the deadline to submit a paper to the ECML workshop has been extended to 30 june :-),2,bronze,1,Thu Jun 19 2014 09:12:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9495,/competitions/connectomics,None
/macciocapatonda,Additional info about rs_fMRI_FNC_mapping.csv?,Do we know how the fMRI numbers in a pair of each row of the file are related to each other? I don't get how to use the information on the correlation f-s when considering the 378 FNCs which come from the mapping. Thanks!,0,None,1,Thu Jun 19 2014 12:36:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9496,/competitions/mlsp-2014-mri,131st
/darshanhegde,Evaluation criterion ?,"The evaluation criterion says ""average levenshteins distance"" between sentences. I'm wondering if it is at the word level or at the character level.",0,None,5,Thu Jun 19 2014 17:19:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9500,/competitions/billion-word-imputation,None
/goldman88,SVM and Naive Bayes in R,"Dear all, is there any video or document which can guide me how to compute svm and naive bayes on R tool?",0,None,1,Fri Jun 20 2014 05:10:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9503,None,None
/cavaunpeu,What Are the Benchmarks in the LB?,"Noob question. What do ""Connected Components Benchmark,"" ""All Friends in One Circle,"" and ""Link Clustering Benchmark"" signify?",0,None,3,Fri Jun 20 2014 19:19:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9505,/competitions/learning-social-circles,None
/rcompetitor,"cant download clips.gz, what could be wrong",Hi cant download clips.gz (10 gb file). the download is not starting. what could be wrong?,0,None,1,Sat Jun 21 2014 12:48:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9508,/competitions/seizure-detection,None
/haadk104799,Looking for a team,"Hi, I know I am late to the party. I am an electronic engineer with courses and experience in digital signal processing. I learnt machine learning(mostly from coursera). I can make a valuable addition. If anyone is looking for a team or need a member I am available. Looking forward to working with you. Haad Khan haadkhan@yahoo.com",0,None,4,Sun Jun 22 2014 12:07:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9513,/competitions/seizure-detection,None
/sodani,Imbalanced Data,"By looking at the outcome class, we can see that it is imbalanced (5.9% true). I'm curious as to how people have handled this. I tried Random Forests and Boosted Tree, but both fits classified everything in my test set as false, making them useless.",0,None,3,Mon Jun 23 2014 18:23:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9522,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,None
/zhongxiaolong,Some questions about the facts in  Learning to discover paper,"Hello everyone: May I ask some quesions about the some facts in Learning to discover: the Higgs boson machine learning challenge paper here? I come from a department of statistics not physics, so if possible, please answer these questions in an intuitive way. 1. In page 8, it says that the decay of the W boson, where ... can appear simultaneously only through imperfections of the particle identification procedure. What doest it mean by imperfections of particle identification? Does this mean that if particles are perfectly identified, there will only be one electron or muon, or only a hadronic tau? Or to say, W can only decay to one electron or muon, or decay to a hadronic tau? 2. Where do jets come from? Do they come from the decay of hadronic tau? When an event contains both tau and jets, does it mean some tau hits the detector before decay? 3 Why are there some events which have DER_mass_MMC greater than 900 but still be classified as signals in training data? Thank you.",0,None,1,Mon Jun 23 2014 21:59:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9524,/competitions/higgs-boson,None
/rajis210322,Looking for team,"HI I have experience in Hadoop and Volt db projects and have worked on PiG,Hive to some extend. Anybody interested for this project to form a team?",0,None,1,Tue Jun 24 2014 11:41:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9536,/competitions/criteo-display-ad-challenge,None
/bobbert,Contributions to the Higgs search after the deadline?,"First, thank you to those who have designed, shaped and implemented this competition. It is very nicely framed, and the information provided/referenced is fascinating and addictive. The Higgs search (followed now through research papers and scientific presentations more than by popular media) has become a new subject of long term interest for me. The contest will end very soon, but I suspect that many will find it interesting enough to pursue seriously even after the deadline. Maybe, for example, following-up with incomplete ideas generated during the competition needing more research on the physics or time to create novel ML approaches. Will there be any simple mechanism to reach out to the sponsors if someone feels they have made a breakthrough worthy of consideration?",0,None,1,Tue Jun 24 2014 19:59:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9541,/competitions/higgs-boson,548th
/ivanguz,Welcome to Hunt for prohibited content challenge!,Welcome to Hunt for prohibited content challenge where we ask you to predict which advertising contains prohibit content and should be blocked and which should be allowed. Since more and more people are using internet for selling their goods it becomes more and more challenging to manually moderate all content and make both buyers and sellers happy. <br/> You have a unique chance to develop your own antifraud system on large volumes of real unstructured data. Maybe it will be your algorithm that would change the way how moderation business functions today? <br/> Good luck! Ivan,5,silver,1,Tue Jun 24 2014 20:13:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9542,/competitions/avito-prohibited-content,None
/joycenv,Comp needed to be relaunched,"Hi Everyone, The comp needed to be relaunched due to a small error with the LB splits. I've invalidated everyone's submissions. Sorry for the trouble! I don't expect any other changes.",0,None,4,Tue Jun 24 2014 20:17:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9543,/competitions/criteo-display-ad-challenge,None
/cavaunpeu,Leaderboard calculated on all test data?,"In the top-left of the leaderboard, it's written that the leaderboard is calculated on all of the test data. This implies that the public and private leaderboards are identical - correct? If so, why, then, is there still a form for selecting your submissions to be evaluated on the final, private leaderboard when the competition comes to a close?",0,None,3,Tue Jun 24 2014 23:03:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9546,/competitions/bike-sharing-demand,781st
/bsatya,Submission format,What is the submission format? In the sample submission I only see a set of ids.,0,None,1,Wed Jun 25 2014 01:06:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9549,/competitions/avito-prohibited-content,None
/cecilegermain,Missing features: to impute or not? ,"In the traditional formulation of supervised learning, data instances (here events) are viewed as vectors of features in some multi-dimensional space. In our case, however, some features are frequently missing, with, for instance, more than 62% of signal events lacking at least one feature.In the datasets, the missing values are replaced by -999. This is done only for convenience; these values have no physical meaning. The important point here is that these missing values are not the result of flaws in the simulation process (equivalent to unobserved measurements), but are structurally absent. For instance, in events where there is no jet (PRI_jet_num = 0), there is no such a thing as a “leading jet”, thus the associated quantities (PRI_jet_leading_pt, PRI_jet_leading_eta, PRI_jet_leading_eta) are structurally undefined, and the features derived from these as well. In fact, all missing features are related to PRI_jet_num, except DER_mass_MMC. Such data intrinsically live in a lower dimensional subspace of the feature space, determined by its own actual features. The traditional way to deal with missing features is imputation, where some “reasonable” value replaces the missing one. For structurally missing features, it is well known that imputation may produce meaningless completions and hamper classification performance. Is it the case here?",2,bronze,4,Wed Jun 25 2014 05:33:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9552,/competitions/higgs-boson,None
/cecilegermain,"Optimizing for an exotic target, and relations with ranking","The objective function (the AMS) is quite different from the classical objectives in machine learning, such as classification error or cross-entropy minimization. It does not provide in a straightforward way a function to minimize that would be additive in the examples and differentiable in the model parameters. In this technical sense, it is somewhat similar to ranking or Neyman-Pearson learning. In addition, not all signals (or backgrounds) are equal, due to the weights, and therefore accepting a signal with a higher weight provides a greater increase (or equivalently, losing a signal with a lower weight provides less of a penalty) in the AMS.Addressing such an unusual target can follow two strategies. With multi-level optimization, one first designs algorithms to optimize a proxy of the AMS objective measure with the usual tools (e.g, regularization, surrogate design, etc.), then fine tunes the actual objective with extra validation data, by adjusting a few hyper-parameters (e.g. the decision threshold). This approach is challenged by direct, more sophisticated and complex methods of direct optimization of the target objective. While the former strategy is clearly sub-optimal in principle, examples such as the Yahoo! Learning-to-rank challenge show that it can achieve excellent performance. We hope that the challenge results will provide new insights on this exciting issue.",0,None,3,Wed Jun 25 2014 06:01:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9553,/competitions/higgs-boson,None
/sashikanthdareddy,Are IDs in Training data ordered by time?,"Given that the data description page says the training data is from Dec-2013 to Mar-2014, are the IDs in Training Data ordered by Time i.e., does smaller values for IDs mean they are further out in the past and bigger values for IDs mean they are more recent? It would have been great if a timestamp for each advert was provided.",0,None,1,Wed Jun 25 2014 07:48:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9554,/competitions/avito-prohibited-content,100th
/endintears,Has anyone else tried a nearest neighbour approach?,I decided to start by taking a nearest neighbour approach. My cross-validated mean F1 score was around 0.675 but my submission only scored 0.56948. I was wondering if anyone had experienced something similar or whether it might indicate a bug with my code?,0,None,8,Wed Jun 25 2014 15:33:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9562,/competitions/wise-2014,28th
/saikumarallaka,Finally i got a hadoop machine :) :) ,"Total number of rows in transactions dataset is 349655789, so i was thinking how to pre-process and extract features. Answer is hadoop and Hive Partitioning and bucketing.. Soon i hope to be in top 10.",2,bronze,9,Thu Jun 26 2014 05:01:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9566,/competitions/acquire-valued-shoppers-challenge,None
/ma2rten,What are the features?,"I am wondering if the admins would be willing to disclose a little bit about the semantics of the features? E.g. are they features of the ad, the user, the sites?",3,bronze,4,Thu Jun 26 2014 08:12:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9568,/competitions/criteo-display-ad-challenge,404th
/jaberg,Anyone tried hyperopt-sklearn for tuning sklearn pipelines?,"Hi All! Brent Komer and I have been working on a library called [Link]:http://hyperopt.github.io/hyperopt-sklearn/ that's a bridge between [Link]:http://hyperopt.github.io/hyperopt/ (distributed optimization of machine learning hyperparameters) and [Link]:http://scikit-learn.org/stable/. It can optimize both over preprocessing options as well as several different classifiers. I haven't been participating in this challenge, but someone just suggested to me that lots of people here were using scikit-learn. I was wondering if anyone tried using it, and if so, did it help? Was there something you'd like to see us fix? Let me know, and good luck! - James",4,bronze,3,Thu Jun 26 2014 11:19:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9569,/competitions/higgs-boson,None
/nevink,Why isn't Kaggle forum design space efficient?,Kaggle has been a great place for discussion. A good informative thread has sufficiently numerous replies. Scrolling through these threads with just 15 replies a page and huge empty spaces between the replies doesn't help user experience make better. Little modifications can facilitate handy navigation.,2,bronze,2,Thu Jun 26 2014 12:20:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9570,None,None
/strawberryman,Many new kagglers....,"Hi there, I'm really impressed by all those new kagglers who signed up for Kaggle, downloaded their data set and made their very first submission a couple of minutes later.... and got a very high score :-) Just my two cents...",2,bronze,6,Thu Jun 26 2014 23:31:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9579,/competitions/mlsp-2014-mri,175th
/bisakharay,Announcement of Winners!,"We revealed the ""private leaderboard"". Congratulations to the winners:1st prize (1st place): Antonio Sutera, Arnaud Joly, Aaron Qiu, Vincent François-Lavet, Gilles Louppe (team AAAGV)2nd prize (3rd place): Ildefons Magrans3rd prize (4th place): Lukasz Romaszko (team: Lukasz 8000) The second place participants decided not to reveal their code. The results of verifications will be available shortly for review. Sorry for the delay.",1,bronze,2,Fri Jun 27 2014 00:53:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9580,/competitions/connectomics,64th
/lctsai,"How to define ""teacher"" for ""at least 1 teacher referred donor""","I'm wondering what is the definition of ""teacher""?Does it has to be the teacher who post the project? Or it can be any arbitrary teachers on DonorsChoose.org?Thanks for answer",0,None,1,Fri Jun 27 2014 04:30:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9582,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,12th
/argoel,Difference between company & brand ?,"Hello I just started looking into the data, so had a very preliminary question, which is not very explicit from the dataset. What is the difference between a company & brand in transactions ?My guess is that a company (selling water) can have multiple brands (of water). But a brand belongs to a unique company ? And shoppers are usually loyal towards a 'brand' except in some small instances where they might be loyal to a company ? The offers are posted by companies, on specific brands of water ? So an offer is unique to a <company,brand,category of object> ? Thanks.",0,None,1,Fri Jun 27 2014 07:28:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9585,/competitions/acquire-valued-shoppers-challenge,916th
/boweichi,indication of bad feature?,"I added a couple more features to random forest modeling, and the result got worse. Is it an indication of bad feature, which I should eliminate? Thanks!",1,None,4,Fri Jun 27 2014 08:09:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9586,/competitions/titanic,None
/patrickbuergin,Submitting Results,"As some of you might have noticed, the submission function asks for a subset of the 32134 NaN-predictions: 27656 values. We were a bit confused as we first noticed this, so I thought I'd share my Matlab code for transforming a full matrix of joke ratings (X_hat: 5981x10) to the submission format: rows = tdfread('jester.id'); rows = rows.Id0x2Crow_id0x2Ccol_id; result_kaggle = zeros(length(rows),1); for i=1:length(rows), result_kaggle(i) = X_hat(rows(i,2), rows(i,3)); end submission = [(1:length(rows))', result_kaggle]; csvwrite('submission.csv',submission); You have to add ""Id,Prediction\n"" manually to the resulting file before submitting.",1,bronze,1,Fri Jun 27 2014 15:29:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9587,/competitions/joke-rating-predicition,1st
/srdhaeayautnon,Kaggle Timeline,"Hi, Doubt this is an issue; but the Kaggle timeline says ""2 months to go"". When currently there is over 2.5 months to go. Even when there was 3 months to go, it still said 2. Did not think much about it at first, but thought some clarification would be good. Most likely the countdown code has an bug; I'm sure the deadline is 9/15/2014. -thanks",0,None,1,Fri Jun 27 2014 18:46:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9594,/competitions/higgs-boson,None
/datadean,Model Base Learning & Classification,"Hi, there I am using Model Based Classification and Learning 1. In the first step the models are trained and combined. Often, I call it ""Hybrid Modeling "". 2. In th next step when I am going to predict the outcomes- I got the messages- that the variables - "" Weight "" and "" Label"" are missing ( R, Rstudio ). Note- Even the Test data doesn't contain the ""Label"" and ""Weight"" variables and for fitting there must be same number of columns in training and testing . so, anybody can tell me how to rid over this problem and fit a prediction model. Also, It would be helpful if somebody pasts the dummy modeling file to better understand.",0,None,2,Sat Jun 28 2014 08:03:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9599,/competitions/higgs-boson,None
/sashikanthdareddy,Cross validation & AP@32500,"I had an OOB AP@32500 of 0.76 using only numeric features as a benchmark but only about 0.34 on the leaderboard. I was wondering if others are getting CV scores that are not far off from their leaderboard scores. Currently, I take the OOB predictions for 3.9 millions training cases and take the top 32500 cases and discard the rest. AP is calculated on those 32500 cases. From this [Link]:http://www.kaggle.com/c/avito-prohibited-content/forums/t/9584/average-precision-at-k-ap-k forum thread it appears that 32500 is roughly 5% (it is actually 4.81%) of the test set rows of 1,351,243 used for leaderboard scoring [remember 50% of 1,351,243 = 675,622 rows are used for LB] I was wondering maybe I should be calculating AP@ 96,107 [i.e., randomly sample 50% of training rows & take the top 4.81%: 3,995,803*50%* 4.81% = 96,107] to get a more realistic CV estimate. Edit: I think if you are doing a n-fold CV, then AP should be calculated @ [top 4.81% of random 50% sample of the validation set] Does this approach sound good enough? I will redo my OOB calculations later and post the results here, hopefully they will be closer to what I'm getting on the LB. Sorry [Link]:http://www.kaggle.com/users/5309/abhishek, I hope you wouldn't mind my breaking your tradition of starting threads about CV.",1,bronze,2,Sat Jun 28 2014 08:35:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9600,/competitions/avito-prohibited-content,100th
/ryansequeira,Implementing Neural Network with Boosting,"Hi, I am new to the field of machine learning. I have implemented a simple neural network with sigmoid activation function and would like to extend it to an ensemble Neural Network using boosting. Currently i am trying to minimize the log likelihood function for a single NN. For an ensemble with boosting the hypothesis would be : H(x) = a1h1(x) + a2h2(x) .... So what should be the objective function for each weak classifier ?",0,None,6,Sun Jun 29 2014 08:17:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9607,None,None
/themad1,Relationships in and between EgoNet files,"It seems that each egonet file is complete. The only relationships within each file are those between the ego and his friends and the friends relationships to those friend. A type of closed system (not sure if there is a term for that). If a friend has a friend outside the primary friend list, it is not in the egonet. Why not, wouldn't it be informative to see the features of those friends? Is it a matter of being too much data if the process iterates? Also, in a similar vein, why aren't there references to Nodes between files?",0,None,6,Sun Jun 29 2014 14:02:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9609,/competitions/learning-social-circles,None
/rahulganjave,Solution for this competition,Any one can share Solution for this competition?,0,None,1,Sun Jun 29 2014 14:08:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9610,/competitions/flight2-main,None
/bensolucky,Public / Private Leaderboard Split,"Hi, Can we know how the leaderboard is split between public and private data? Is it just completely random? Thanks",0,None,2,Sun Jun 29 2014 20:42:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9611,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,6th
/kevinhinson,team strategies,"I can't help but notice that 7 of the top 10 leaderboard positions are occupied by teams. I'm curious... do most of you work independently and then just combine results into an ensemble, or do you actually coordinate... split up work... set up private git accounts to collaborate on code... stuff like that?",0,None,2,Sun Jun 29 2014 20:55:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9612,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,31st
/ma2rten,Is this the right way to calculate the score?,"from sklearn.metrics import average_precision_score def score(true, pred): no_features = 0.0481 * len(true) items = pred.argsort()[::-1][:no_features] return average_precision_score(true[items], pred[items])",0,None,1,Mon Jun 30 2014 09:58:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9613,/competitions/avito-prohibited-content,None
/lctsai,"What is the ""live"" project that will be ignored in scoring?","In the data description page it says ""Some projects in the test set may still be live and are ignored in the scoring. We do not disclose which projects are still live to avoid leakage regarding the funding status""Does it mean that the projects which is still live at 5/15, the contest's start date, would not be counted in both public and private score?Or does it mean that data which is still live at the end of the contest would not be counted ?Thanks a lot : )",0,None,2,Mon Jun 30 2014 16:34:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9617,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,12th
/steliosb,Data preprocessed?,"Could you enlighten us, as regards the preprocessing that has been applied on the data (if any), (e.g: noise reduction etc) ?",0,None,2,Mon Jun 30 2014 17:47:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9620,/competitions/seizure-detection,None
/kevinbarbian1,data question,Please forgive the total nubee but which files have the known seizure and at what point. I think I remember reading some files were marked as to when the doctor noticed the start. When looking at the data in graph the whole thing look like a seizure. Thanks in advanced [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/49879/1362/Dog_1_ictal_segment_1.PNG,0,None,1,Mon Jun 30 2014 23:48:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9621,/competitions/seizure-detection,None
/tayshin,~.72 roc in train set but ~.54 in test set,"I used 25 repeated/20 folds cv and obtained ave. of .72 (roc) but my leader board score didn't improved at all. In fact, it lowered to ~.54 does anyone knows what makes the score this much different? Any thoughts/comments will be appreciated !",0,None,1,Tue Jul 01 2014 22:56:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9630,/competitions/acquire-valued-shoppers-challenge,66th
/sd1965,latency number question,"Need a clarification on the latency number provided in the ictal files. Sequentially the latency number for patients start at zero and increase in value, At some point the latency number becomes zero again (referred to as a ""zero event"" below) and continues to increase in value. Is this interpreted as the seizure 'starts' at a ""zero event"" -- to include the first segment if its' latency is zero? If so, the evaluation for within 15 seconds is successful by predicting the 15 segments leading up to a zero event? Or the 15 segments after a zero event? Or both sides of a zero event? Thank You",0,None,5,Wed Jul 02 2014 14:21:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9636,/competitions/seizure-detection,None
/pranav210819,Linux users python problem why use python2 over python3,"Hello, I am a arch linux user and one of the big hinderance that I face whilst trying to use python is the mismatch of versions. by default /usr/bin/python contains python 3.3 and not python 2.7 and I have no idea how to resolve this. And out of curiosity one of the questions I want to ask other is why do you use an older version of python[2.7] over python 3.3 ? thanks for the answer.",0,None,4,Wed Jul 02 2014 16:47:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9637,None,None
/ifguy12,Why is it better to ignore missing values?,There are missing values for some variables. Why is it better to ignore them rather than do some sort of imputation?,0,None,2,Wed Jul 02 2014 20:09:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9639,/competitions/titanic,None
/corei13,Using Test Dataset For Training Purpose,I was wondering if it is allowed to use test dataset for (unsupervised) training purpose. Thanks,0,None,4,Wed Jul 02 2014 21:03:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9640,/competitions/higgs-boson,210th
/qiangli1,Can't submit,"My file keeps having the error message of ""ERROR: Could not parse "" into expected type of Double (Line 110447, Column 12) ERROR: Could not parse "" into expected type of Double (Line 111113, Column 12). What's going on ???",0,None,1,Thu Jul 03 2014 05:21:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9643,/competitions/acquire-valued-shoppers-challenge,684th
/benjaminpost,Acceptable Software,"I realize this question has been asked numerous times, but can someone point me to a clearer explanation on what programs can and cannot be used? I have visited the open source website but I think many others would benefit from an explanation by someone who can obviously read better than myself! For example, can SAS be used in this competition? Thanks for entertaining my obviously repetitive and stupid question.",0,None,3,Fri Jul 04 2014 01:08:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9648,/competitions/acquire-valued-shoppers-challenge,419th
/idaniboy,Can information from ieeg.org data be used for the contest?,"The ""Get the data"" page states: ""Additional annotated intracranial EEG data is freely available at the International Epilepsy Electrophysiology Portal, jointly developed by the University of Pennsylvania and the Mayo Clinic."" Can information from ieeg.org data be used for the contest? (e.g. in training classifiers)",0,None,1,Fri Jul 04 2014 03:14:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9649,/competitions/seizure-detection,62nd
/lctsai,First submission before 7/7?,The submission rule allows us to submit 2 final submissions. Does the first submission before 7.8 stands for one of the two final submission? Or we can choose the other 2 submissions before real deadline ?Thanks.,0,None,11,Fri Jul 04 2014 04:24:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9650,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,12th
/jatinshah,training data statistics,"I wanted to share some aggregate statistics on training data. It could be useful in manual feature engineering by guessing the type of feature. <br>You can find the Python script used to generate the statistics in this repo: [Link]:https://github.com/jatinshah/kaggle_criteo_ads <br>To run the script just enter <code>python stats.py [integer|category] train-data-csv 1000000</code> at the command line. <br>The last number determines the size of chunk read by pandas csv reader. <br>Here are the statistics for integer features: max min count mean I1 5,775 0.00 25,047,061 3.50 I2 257,675 -2.00 45,840,617 105.85 I3 65,535 0.00 36,001,170 26.91 I4 969 0.00 35,903,248 7.32 I5 23,159,456 0.00 44,657,500 18,538.99 I6 431,037 0.00 35,588,289 116.06 I7 56,311 0.00 43,857,751 16.33 I8 6,047 0.00 45,817,844 12.52 I9 29,019 0.00 43,857,751 106.11 I10 11 0.00 25,047,061 0.62 I11 231 0.00 43,857,751 2.73 I12 4,008 0.00 10,768,965 0.99 I13 7,393 0.00 35,903,248 8.22 Category feature statistics: impressions/category #categories mean std min 25% 50% 75% max C1 1,460 31,397.68 646,128.85 7.00 70.00 70.00 350.00 22,950,860 C2 583 78,628.85 300,833.68 1.00 1,991.00 8,937.00 38,067.50 5,245,774 C3 10,131,226 4.37 606.24 1.00 1.00 1.00 1.00 1,141,289 C4 2,202,607 20.10 2,007.62 1.00 1.00 1.00 2.00 1,636,423 C5 305 150,297.10 1,816,993.45 10.00 70.00 180.00 898.00 30,772,137 C6 23 1,752,173.57 4,453,291.57 2.00 10.00 462.00 424,380.00 18,166,950 C7 12,517 3,662.27 16,471.56 1.00 158.00 671.00 2,417.00 955,418 C8 633 72,418.04 1,135,450.80 10.00 70.00 140.00 490.00 27,232,196 C9 3 15,280,205.67 22,566,142.11 7,646.00 2,320,232.50 4,632,819.00 22,916,485.50 41,200,152 C10 93,145 492.14 33,564.50 1.00 2.00 7.00 45.00 10,157,763 C11 5,683 8,066.27 35,183.93 1.00 174.00 1,338.00 5,629.00 1,458,428 C12 8,351,592 5.30 755.63 1.00 1.00 1.00 1.00 1,141,289 C13 3,194 14,352.10 50,817.35 2.00 1,281.25 3,856.50 10,606.00 1,458,428 C14 27 1,697,800.63 4,317,037.29 4.00 16,320.50 58,854.00 570,572.00 16,029,055 C15 14,992 3,057.67 18,540.46 1.00 11.00 76.00 598.00 684,365 C16 5,461,305 8.11 980.95 1.00 1.00 1.00 1.00 1,141,316 C17 10 4,584,061.70 6,099,427.55 1,292.00 1,956,748.75 2,250,856.00 4,902,949.75 21,153,559 C18 5,652 8,110.51 51,744.78 1.00 22.00 187.00 1,560.00 1,450,322 C19 2,172 11,817.57 339,950.27 1.00 93.00 509.00 2,070.75 15,800,355 C20 3 8,555,919.67 136,900.29 8,431,986.00 8,482,445.00 8,532,904.00 8,617,886.50 8,702,869 C21 7,046,546 6.28 844.31 1.00 1.00 1.00 1.00 1,141,289 C22 17 640,326.12 1,716,180.26 5.00 63.00 496.00 182,538.00 6,253,065 C23 15 3,056,041.13 5,392,652.21 62.00 109,509.50 691,002.00 2,885,280.00 20,170,568 C24 286,180 154.73 9,470.88 1.00 1.00 2.00 7.00 2,400,439 C25 104 246,805.38 921,206.63 1.00 12.75 187.00 21,238.25 6,557,407 C26 142,571 180.03 7,014.80 1.00 1.00 4.00 15.00 1,888,619",25,gold,8,Fri Jul 04 2014 07:23:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9651,/competitions/criteo-display-ad-challenge,329th
/muckymuck,Modelling sequence of steps,"Hello Kaggle community! I'm trying to find the correct cost function for my problem to reliably measure my predictive error vs competing models - but having a few issues. I'm looking at modelling an observation making it through a sequence of steps 1->2->3->4->5->6->7. The path is linear, steps cannot be skipped, but an individual observation can stop at any step. Each observation has a binary value for each step to indicate whether it made it through or not. Each observation also has a set of categorical features (let's call this set of features A->Z). My aim is to model each individual step (e.g. 1->2) to get coefficients for A->Z, which will output for me a probability (using binary logit) of making it through the step for given feature values. So for each observation I'll have a probability on each step, to compare to actual binary values. What is the best way to assess the cost of an individual prediction here vs the observed binary value? I'm also thinking about how you can do this with grouped count data but am struggling :(",0,None,2,Fri Jul 04 2014 12:12:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9653,None,None
/stanislavbranovitskiy,We would like to host a competition. Submit form isn't working :(  (SSL error),"Hello, Dear Sirs, We are Russian advertising optimisation SAAS K50. We would be glad to use your platform for hosting a competition. Could you please advice us how to get in touch with you, since the contact submit form isn't working. Thank you very much! -- Stanislav BranovitskiyProduct Director in K☆507 (495) 565-30-317 (926) 601-77-77119454, Moscow, Arbat, 29, 2nd Floorstas@k50.ruwww.k50.ru",0,None,1,Fri Jul 04 2014 13:43:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9654,None,None
/staesthetics,"How many ""test"" rows?","Hi I tried to submit my results. It said that it shoud have 6 Mio something rows. I check on the test.csv file, it only have 1,2 Mio rows. Is there any new data for test.csv? Regards",0,None,5,Fri Jul 04 2014 14:08:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9655,/competitions/criteo-display-ad-challenge,617th
/tlonist,Creating classification features from wavelet transformed time series,"I'm interested in using a wavelet transform, Haar for example, to create classification variables from time series data to use in logistic regression. Simple example. Let's say I'm trying to predict payment defaults and I have a person's monthly expense data and someone with consistent expenses is better than someone with increasing expenses in the the most recent 4 months. If I have two sample borrowers: Borrower A - Good - expensesA = c(100,110,95,105), default = 0 Borrower B - Bad - expensesB = c(75,100,150,200), default = 1 If I am using logistic regression, glm() in R, to create a classification model, and the R wavelets package dwt() function for a ""haar"" transform of the time series what are the appropriate features to extract from the dwt() object to use in glm()? The truncated output for Borrower A is: tr = dwt(expensesA, filter = ""haar"")tr An object of class ""dwt""Slot ""W"":$W1[,1][1,] 7.071068[2,] 7.071068 $W2[,1][1,] -5 Slot ""V"":$V1[,1][1,] 148.4924[2,] 141.4214 $V2[,1][1,] 205 Slot ""filter"":Filter Class: DaubechiesName: HAARLength: 2Level: 1Wavelet Coefficients: 7.0711e-01 -7.0711e-01Scaling Coefficients: 7.0711e-01 7.0711e -01 I know Ws are wavelet coefficients and the Vs the scaling coefficients. Do I need to use all four W1 and V1 values as variables to properly model this or is it okay to try just the W1s without V1s (or vice versa)? Is it worthwhile to try only the single W2 and V2s as variables? Or is it better to try to use a clustering algortihm and label them based on clusters? I know it of course also depends on the data, but I'm looking for a starting point regarding best practices.",0,None,1,Fri Jul 04 2014 16:38:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9656,None,None
/testacc,What is the difference between submitting probabilities vs predicted values?,"Hi, sorry I am new to this website. How is the score exactly calculated? Is there some probability cutoff (0.5?) for classifying the case into 1 (schizophrenic) or 0 (healthy)? Say, if my first few probability values for testing data are 0.3, 0.25, 0.8, 0.9, would it be equivalent to submitting 0, 0, 1, 1? Hope my question makes sense, thanks.",0,None,3,Fri Jul 04 2014 20:31:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9657,/competitions/mlsp-2014-mri,7th
/tuywen,Do we need to submit our codes?,"After the competition ending, do we need to submit our codes just like 2013 kdd cup?",0,None,1,Sun Jul 06 2014 16:00:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9659,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,None
/bigboy0,categorical variable,"when I use scikit-learn to build models, the categorical variable should be converted to be dummy variables?",0,None,1,Sun Jul 06 2014 16:15:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9660,/competitions/criteo-display-ad-challenge,None
/usamec,"Experiment results logging, review and comparison","Hi, I'm trying to do small survey here. Basically I have a following problem: I'm doing lots of experiments during Kaggle competition (or day to day work) with different algorithms, hyperparameters and preprocessing. What I need is a way to easily log outcomes of these experiments and also to do some review. Now I just manually save a log file from each run and then go through them by hand (when needed), which is sometimes very annoying. Do you have a similar problem? How do you solve it? Do you use some specialized tools for it? If I made a tool which somehow solves this problem, would you be interested? What features would you like to see?",0,None,3,Mon Jul 07 2014 15:10:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9665,None,None
/zachmayer,Cross validation,How closely have your cross-validation scores matched what's on the leaderboard?,0,None,13,Mon Jul 07 2014 16:14:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9666,/competitions/criteo-display-ad-challenge,None
/ash208948,"Is there any way to reconsider ""Deadline for new entrants""?",I just missed the deadline for new entrants by half an hour. That is really painful. Is there any way to make an exception and extend this deadline? A lot of hard work just went to waste.,0,None,13,Tue Jul 08 2014 03:09:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9668,/competitions/acquire-valued-shoppers-challenge,519th
/ssoulier,Seasonnality,"According to data description there are 7 days in the train dataset and the examples are chronologically ordered. I streamed the data and I calculated a CTR each 10,000 examples. The result plot is attached. We can see a a pattern that is repeated three times. Is it possible that there are only three days in the training dataset ? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50131/1371/Criteo-seasonnality.png",7,silver,19,Tue Jul 08 2014 14:47:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9672,/competitions/criteo-display-ad-challenge,356th
/nixiean,Introduction,"Hello fellow Deloittians, A quick round of introduction maybe? Or everyone wants to compete in stealth mode? :)",0,None,7,Tue Jul 08 2014 18:32:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9675,/competitions/deloitte-tackles-titanic,85th
/clustifier,Offers productsize,"Hi, Looking at the data again I've noticed that the productsize of an offer is unknown. So the offervalue is basically meaningless, isn't it. Am I missing something? Thanks, C",0,None,1,Tue Jul 08 2014 19:52:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9676,/competitions/acquire-valued-shoppers-challenge,70th
/zygmunt,JSON errors in Python,"When I try to parse attrs using Python's json module, I get ValueError with some examples, for example with those: {""Тип объявления"":""Продам"", ""Количество комнат"":""2"", ""Вид объекта"":""Вторичка"", ""Этаж"":""3"", ""Этаж"":""Не первый и не последний"", ""Этажей в доме"":""< 5"", ""Этажей в доме"":""4"", ""Тип дома"":""Кирпичный"", ""Адрес"":""Мира ул 28""}{""Тип объявления"":""Сдам"", ""Срок аренды"":""На длительный срок"", ""Комнат в квартире"":""4"", ""Этаж"":""Не первый и не последний"", ""Этаж"":""3"", ""Этажей в доме"":""5-8"", ""Этажей в доме"":""5"", ""Тип дома"":""Кирпичный"", ""Адрес"":""Асаткина ул 31""}{""Тип объявления"":""Продам"", ""Количество комнат"":""1"", ""Вид объекта"":""Вторичка"", ""Этаж"":""Не первый и не последний"", ""Этаж"":""11"", ""Этажей в доме"":""13-16"", ""Этажей в доме"":""13"", ""Тип дома"":""Кирпичный"", ""Адрес"":""Нижняя Дуброва ул 17""} However when I copy and paste, it works (at least with some): In [43]: json.loads('{""Тип объявления"":""Продам"", ""Количество комнат"":""1"", ""Вид объекта"":""Вторичка"", ""Этаж"":""Не первый и не последний"", ""Этаж"":""11"", ""Этажей в доме"":""13-16"", ""Этажей в доме"":""13"", ""Тип дома"":""Кирпичный"", ""Адрес"":""Нижняя Дуброва ул17""}')Out[43]: {u'\u0410\u0434\u0440\u0435\u0441': u'\u041d\u0438\u0436\u043d\u044f\u044f \u0414\u0443\u0431\u0440\u043e\u0432\u0430 \u0443\u043b17', u'\u0412\u0438\u0434 \u043e\u0431\u044a\u0435\u043a\u0442\u0430': u'\u0412\u0442\u043e\u0440\u0438\u0447\u043a\u0430', u'\u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043a\u043e\u043c\u043d\u0430\u0442': u'1', u'\u0422\u0438\u043f \u0434\u043e\u043c\u0430': u'\u041a\u0438\u0440\u043f\u0438\u0447\u043d\u044b\u0439', u'\u0422\u0438\u043f \u043e\u0431\u044a\u044f\u0432\u043b\u0435\u043d\u0438\u044f': u'\u041f\u0440\u043e\u0434\u0430\u043c', u'\u042d\u0442\u0430\u0436': u'11', u'\u042d\u0442\u0430\u0436\u0435\u0439 \u0432 \u0434\u043e\u043c\u0435': u'13'} Any ideas?",0,None,6,Tue Jul 08 2014 21:05:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9677,/competitions/avito-prohibited-content,43rd
/zygmunt,The editor eats my newlines,"A while ago the editor on the forum started discarding new lines in posts. It's a serious nuissance, what gives?",0,None,1,Tue Jul 08 2014 21:08:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9678,None,None
/tripletdad,Loss ratio in training data,"I'm getting only 1188 observations (out of 452061) in training file with a loss ratio of greater than zero. This seems very low to me or am I missing something. TIA, FR",0,None,4,Tue Jul 08 2014 21:58:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9679,/competitions/liberty-mutual-fire-peril,129th
/bigdatasemanticanalytics,Data issues,The data instances are not unique across classes. ie. Passenger id can be a 1 and so can a survivor. I will have to clean this up.,0,None,1,Tue Jul 08 2014 22:22:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9680,/competitions/deloitte-tackles-titanic,None
/minyubb,R Caret Package (train): Tuning Parameters in rpart & rpart2 ,"Hi everyone, I wonder if anyone has used 'rpart' and 'rpart2' methods in the train function of the R caret package. There are two parameters that I am trying to tune: cp (complexity parameter) Maxdepth I first used the following script to obtain the best tuning parameter for cp (in this case, it is 0.0156). folds=10repeats=10fitControl <- trainControl(method=""repeatedcv"",number=folds,repeats=repeats, classProbs=T, allowParallel=T, summaryFunction=twoClassSummary) train.rpart <- train(Survived ~ Pclass + Sex + Age + SibSp + Parch + Fare + Embarked + Title, data=train.batch, method=""rpart"",metric=""ROC"", tuneLength=10, trControl=fitControl, tuneGrid=rpart.grid) Then I used the code above again (changing 'rpart1' to 'rpart2' in train) to get the best maxdepth (it is 4). Does anyone know how I can tune two parameters in one train step? So I can then use this train output to run accuracy on my validation set? I am not sure how I can combine those two tuned parameters at the moment. Can you please help? Thanks, Minyu",0,None,5,Wed Jul 09 2014 00:39:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9682,/competitions/titanic,None
/trevorkelley,Exploratory Analysis - Fare,"Fare is for a family/group on the same Ticket not for an individual.So raw Fare has a high variance and will lead to noise. Fare may also include transport from home location to destination, not just the voyage cost. It may be possible to determine the number of people in a Family/Group by analyzing Fare. A predictive feature that may have more predictive value.",0,None,3,Wed Jul 09 2014 02:18:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9683,/competitions/deloitte-tackles-titanic,12th
/jjjjjj,Will a python script for the evaluation metric be made available?,"Hello, Will a python (or other language) script for the evaluation metric be made available? In other contests such a script was provided to contestants--particularly when the metric was uncommon outside of the problem domain. Thanks JJJ",1,bronze,40,Wed Jul 09 2014 03:08:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9685,/competitions/liberty-mutual-fire-peril,21st
/trevorkelley,Exploratory Analysis - Name,What predictive features can be extracted from Name ?,0,None,5,Wed Jul 09 2014 03:30:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9686,/competitions/deloitte-tackles-titanic,12th
/trevorkelley,"Exploratory Analysis - SibSp, Parch","It would be useful to normalise composite predictive features like SibSp, Parch into basic binary features like: IsParent IsMother IsFather IsChild IsCouple InGroup IsSingle HasSibling IsDaughter IsSon",0,None,2,Wed Jul 09 2014 03:50:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9687,/competitions/deloitte-tackles-titanic,12th
/trevorkelley,Exploratory Analysis - Age,"Any ideas on how to populate missing values for Age. Some of the non-missing Age values may not be accurate. Is some sort of data cleaning sanity check required? Note: Age is in Years; Fractional if Age less than One (1) If the Age is Estimated, it is in the form xx.5",0,None,4,Wed Jul 09 2014 03:57:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9688,/competitions/deloitte-tackles-titanic,12th
/yangyanzhan,Description Error or Data Set Error?,"In the description of ""Data"" tab , it says that ""var4 is a categorical variable and has A1,B1,C1... as its possible values."" However , if we execute the command ""head -n 100 train.csv > trainPart.csv"" and examine the data , we'll find out that var4 contains ""R5"" as its value which is not declared in the ""Data"" tab description . I wonder if it's a data set error or description error . There may be other contradition between the description and the data since I've not yet exmained the whole data set . ( Anyway, it's not a big problem indeed because we can automatically generate the value set for each categorical variable ......... )",0,None,1,Wed Jul 09 2014 05:29:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9689,/competitions/liberty-mutual-fire-peril,281st
/trisco7,"Extension of ""deadline for new entrants"" and ""final submission deadline""","I was not aware that the deadline for new entrants was 8th July. Also, i signed up for the competition approx. 20 days back only. So my results were not ready till then. Can you please extend the deadline for new entrants? And is there any way to extend the final submission date?",0,None,21,Wed Jul 09 2014 10:21:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9693,/competitions/acquire-valued-shoppers-challenge,None
/trisco7, predict a probability that the customer repeat-purchased the product ,"In the evaluation link, it is written ""For each customer (id) in testHistory.csv, predict a probability that the customer repeat-purchased the product from the promotion they received."" So we have to answer in terms of only 0 or 1 as the results would be compared with the actual outcomes (which will be in form of yes or no)? Or the probability for each offer can vary in the range from 0 to 1?",0,None,10,Wed Jul 09 2014 11:39:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9694,/competitions/acquire-valued-shoppers-challenge,None
/michelblaauw,Submissions removed and cannot add new submissions?,"Dear Admins, I am probably overlooking something but I was under the impression that I did submit some entries which are now removed. Also, when trying to add a new submission, I get the message; ""This competition is closed to new entrants"" Does this mean I wasted my time and cannot enter submissions this close to the deadline? Kind regards",0,None,5,Wed Jul 09 2014 15:13:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9696,/competitions/wise-2014,None
/jeromerenaux,About overfitting the test set and winning competitions,"Hi folks, I have been toying with several approaches, some yielding pretty nice cross-validation results, only to see them score badly on the leaderboard. At some point, it lead me to discard approaches that have a bad leaderboard score. However, it now seems to me that this is clearly some form of overfitting. Therefore I fear that such a behaviour might be counterproductive, and that once the final scoring happens on the hidden half of the test set, it might not pay off. So I have been wondering if, maybe, the best attitude to adopt in order to win competitions (with an s) could be to more or less ignore the leaderboard and focus on achieving high scores on various performance metrics using cross-validation, i.e. to strive for the best generalization, and hope that it turns out well on the hidden test set. My rationale is that focusing on the leaderboard comes to the same as focusing on a small, specific part of the data, whereas cross-validation gives a broader picture of the generalization ability of your approach. Since the hidden test set is supposedly a random subset of the data, cross-validation performance should be a better predictor than leaderboard performance. What do you think?",1,None,1,Wed Jul 09 2014 18:24:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9698,/competitions/titanic,None
/domcastro,And the football prize goes to Team Argentina and Deutschland,Both in the final - good team up,0,None,12,Thu Jul 10 2014 00:47:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9699,/competitions/acquire-valued-shoppers-challenge,2nd
/deepgreen,Can this data set be used for writing research papers?,"This is very interesting data set, with features that are resemble of other Big Data. Also, there are definite features about history data and test data, which potentially affects interpretation of AUC values. These and other are very important research topics. I hope that sponsor and owner of this big data could allow some of us to write research papers. Please let me know.",10,bronze,17,Thu Jul 10 2014 02:40:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9700,/competitions/acquire-valued-shoppers-challenge,670th
/inspector,Dummy Variable,"Can we get a better description of the dummy variable. The description is dummy : Nuisance variable used to control the model, but not working as a predictor What does this mean? Should/Can the variable be used as a predictor?",0,None,4,Thu Jul 10 2014 03:42:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9701,/competitions/liberty-mutual-fire-peril,None
/lakshyabansal,4 bins,"Hi Everyone I am a very naive learner on this machine learning,python and all.So you may consider this a bit stupid In the second submission of Getting Started with Python,they have asked to create 4 bins in order to analyse the price column.How can we create those bins in python? Please urgent help is needed... Sincere thanks in advance",0,None,2,Thu Jul 10 2014 09:28:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9702,/competitions/titanic,None
/anujprakash,Feature Categorization ,"I am using Python for this competition. I wanted to know about techniques for categorizing the features in the data set as some of the estimators can only take continuous numeric values categories. The competition admin has mentioned OneHotEncoder in one of the [Link]:http://www.kaggle.com/c/criteo-display-ad-challenge/forums/t/9577/what-is-the-baseline. However the python package of OneHotEncoder can only ""Encode categorical integer features"" but we also have string features here. I am using a data frame to store train data and am looking for some way to categorize my features from the data frame only. Thanks, Anuj",0,None,11,Thu Jul 10 2014 10:10:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9703,/competitions/criteo-display-ad-challenge,365th
/swati3,Dog and human,why there is data for both dog and human patients?,0,None,1,Thu Jul 10 2014 12:31:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9705,/competitions/seizure-detection,None
/abhishek,Beating the Benchmark ;),"Hello again! For all the beginners out there, I'm providing you with a benchmark which will get you around ~0.29112 on the public leaderboard. The benchmark uses only 7 variables and runs in a couple of minutes. Go nuts! Dont forget to click ""Thanks"" as usual ;) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50266/1376/benchmark.py",75,gold,14,Thu Jul 10 2014 14:38:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9706,/competitions/liberty-mutual-fire-peril,161st
/srrkagl4000,New and need a team,"Hi, I'm new to kaggle and need a team to work on competition and other projects as well. I'm based in London. Thanks Siyr",0,None,5,Thu Jul 10 2014 17:14:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9707,None,None
/smallyellowduck,python starter code,"I have benefited a lot from other Kagglers who've posted starter code for loading data and writing submission files and I'd like to return the favour. My code loads the data, downsamples it and writes a pandas panel to a pickle file which is easy to reload. There is also a function for writing a sample submission file. https://github.com/small-yellow-duck/seizure_detection I decided it was useful to downsample the data because the high frequency data is just white noise,",9,silver,1,Thu Jul 10 2014 20:09:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9709,/competitions/seizure-detection,45th
/olegpoddubny,Ads containing phone/mail/url aren't blocked be default?,"Hi! Avito rules say that ad cant contain phone/mail/url. http://www.avito.ru/help/osnovnye_prichiny_blokirovki_obyavlenij_i_uchyotnyh_zapisej But in the training data there are lots of not blocked ads with this info (f.e. id 10000025). Is this right, that such ads must be blocked dy default by my algoritm, or i should ignore avito rules and base model only on training data?",0,None,1,Thu Jul 10 2014 20:21:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9710,/competitions/avito-prohibited-content,85th
/iamsolesschong,Why the large difference between online score and local test?,"I'm having a good time on Kaggle. However, I'm constantly experiencing the huge difference between my local test and online test score. In my last submission, the local test score is 0.95 while 0.88 online. This is confusing. In my local test, I divided the test data from training data from the very begining, so I don't think the overfitting could be the main factor in the difference since my local test data and the online test data should be statistically homogeneous w.r.t the training data. Do you have any idea on this?",2,None,2,Fri Jul 11 2014 04:23:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9714,None,None
/amanmadaan,Cannot add team members,"Hi I wanted to add a new Kaggle entrant as a team member, but I think the option has been disabled. Since the FAQs state that there is no limit on the team size, is it because the submission deadline has passed? (http://www.kaggle.com/c/wise-2014/forums/t/9696/submissions-removed-and-cannot-add-new-submissions) Thanks!",0,None,2,Fri Jul 11 2014 15:04:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9716,/competitions/wise-2014,48th
/vzn1215764,blending different teams proposal,"hi all some of you may have heard of or even participated in the pioneering (pre-kaggle!) [Link]:http://www.netflixprize.com/index datamining competition from years ago. from that competition one remarkable aspect emerged. winning/ most competitive solutions were mostly ""blends"" of different, mostly independent algorithms. some of them very large blends involving many algorithms, some of them crossing different teams. in fact the winning solution was a blend of several different teams that converged near the end of the competition. sometimes these blends led to somewhat dramatic improvements. a ""blend"" is generally just a best-fit linear combination of the individual predictions (although other blend algorithms might be possible). however, prize rules may be tricky with respect to teams combining solutions. my suggestion is that contest management and teams consider blending their solutions at first merely for hypothetical/testing purposes to determine if it leads to significant or substantial improvements. from the Netflix prize experience, that seems quite possible/ plausible. the best case scenario (with a potentially significant/ rewarding payoff but definitely not a simple undertaking) is that contest management implement a method to merely report significant blending results (because it is an inherently cross-team challenge). (ideally this would even be built into Kaggle contest/competition systems at some point in the future, because it seems so fundamental.) however even if management does not do so, it can be done independently. for example on the netflix prize, an independent user constructed a web site where solutions could be blended and submission scores determined. it was done only for informational purposes and all decisions to actually submit the blended solutions were left to individual team authority. eg this announcement of the blending site can be seen in netflix prize forum post [Link]:http://www.netflixprize.com/community/viewtopic.php?id=1447 anyway also just wanted also to say thanks very much LHC/ Kaggle management & all other partners for taking the time/ energy/ money/ volunteers to support this contest, and hope that this first LHC datamining contest wont be the only one. fervently hope this is ""just the beginning"", that final results will be favorable/ desirable/ impressive to LHC, that LHC can continue many new innovative contests in this area in the future. the contest does not seem to be that well publicized so far in the mainstream media! doesnt LHC have a major PR office? can they be tasked with writing a press release and distributing it to the media? how about interviews published in major media outlets and further promotion etc? given the massive worldwide media buzz over the Higgs breakthrough in general, why is there so little in comparison on this contest? more cheerleading/ commentary in this blog [Link]:http://vzn1.wordpress.com/2014/05/22/higgs-ml-contest-and-lots-more-electrifying-physics-tcs-fusion-zeitgeist/ (and again thanks so much to LHC for [Link]:http://higgsml.lal.in2p3.fr/in-the-media/ to it!)",0,None,1,Fri Jul 11 2014 18:05:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9719,/competitions/higgs-boson,None
/joycenv,Timeline Change,"Hi Everyone, Congratulations on making swift progress on this problem! The hosts at Avito are very impressed by the leaderboard scores and excited to learn about the approaches, as well being eager to host their next competition. The rapid progress suggests that we have incorrectly estimated the time necessary for this competition. As a result, the deadline is being changed to Sunday August 31 at 11:59 PM UTC. Timing a competition is an art. We attempt to balance competition discovery, model building, and the benefits of the leaderboard's competitive dynamics. We understand that any change to competition parameters mid-flight affects the plans and expectations of participants, and do not make such changes lightly. Since we are fewer than 3 weeks in, and the deadline is more than 7 weeks away, we believe that shortening the duration is the least invasive way to deliver on the aims of the competition. There will be no more changes to this competition's timeline. Competition deadlines will never be shortened without providing ample notice prior to the deadline. This includes both a reasonable timeframe to create a model and a reasonable timeframe to be notified of and adjust to the updated schedule. Thanks to everyone for your participation and understanding.",0,None,7,Fri Jul 11 2014 23:48:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9721,/competitions/avito-prohibited-content,None
/carolhu,How many ways to download the data?,"Hi, I'm in china, and the network is poor! It really takes me a long time to download the train/test.cvs file by directly clicking the files and saving to my local disk. Are there any other ways to download the files? Tks in advance...",0,None,2,Sat Jul 12 2014 11:58:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9723,/competitions/liberty-mutual-fire-peril,None
/shreedharpawar,The ids  after the 202513283rd row in transactions data are showing as 'NA',"I am reading the transactions data set in R using : x<-read.csv.ffdf(file=""transactions.csv"", header=TRUE, VERBOSE=TRUE, nrows=350000000, next.rows=10000000, colClasses=NA) The values of the ids after 202513283rd row are showing as NA. Is there some argument that should be passed in read.csv.ffdf to make them valid(is it due to some limit on values accepted) or are they really NA....?",0,None,4,Sat Jul 12 2014 12:02:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9724,/competitions/acquire-valued-shoppers-challenge,911th
/rightfit,Can anyone take me as a team member ? Is it allowed?,"Hi I had some good results against a held out testing set, but wanted to see how I fair against the real test data. I could not submit as I missed the 7/7 deadline. If joining a team at this point is not allowed, then obviously that will rule. Otherwise, will be grateful if some team gives me the opportunity to share. Thanks Regards Debanjan",0,None,3,Sat Jul 12 2014 15:55:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9726,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,None
/carolhu,How many ways to download the data?,"Hi, Just wondering there are how many ways to download the data (train/test.csv files)...One obvious way is to click the file and then save it to my laptop.",1,None,2,Sat Jul 12 2014 16:51:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9727,None,None
/shzuintcmpml06,change displaying submission in Leaderboard,Is the any way to change displaying submission in Leaderboard or remove it from my submission list?,0,None,4,Sat Jul 12 2014 21:05:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9728,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,92nd
/phanivadrevu,close_hours value range,Just wondering why `close_hours` <= 24 hours for all ads? Do ads live for only 24 hours maximum on avito.ru? Or is my understanding of the variable's meaning wrong?,0,None,3,Sat Jul 12 2014 22:09:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9729,/competitions/avito-prohibited-content,152nd
/dunstantom,Narrative lexicon features,"In the accompanying paper, they mention using normalized word count features to measure how often a lexicon is used in the request text. They talk about using median-thresholded binary variables and decile-coded variants as the narrative factors, but I'm not familiar with this terminology. Can someone point to some more details about what these approaches mean? How are the word count features used?",0,None,2,Sat Jul 12 2014 22:36:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9730,/competitions/random-acts-of-pizza,307th
/jjjjjj,Question: can eligible submissions be developed using Weka?,"From the contest rules: http://www.kaggle.com/c/liberty-mutual-fire-peril/rules I see this section concerning open source: ""OPEN-SOURCE CODE A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license: other than an Open Source Initiative-approved license (see <http://opensource.org/>); oran open source license that prohibits commercial use."" My question is can an eligible solution be developed using Weka? Weka (http://www.cs.waikato.ac.nz/ml/weka/) is licensed under the GPL (http://www.gnu.org/licenses/gpl.html). This is both (1) an OSI-approved license, and (2) does not prohibit commercial use. (Noting that some commercial users place a ""stigma"" on GPL due to certain conditions around copying and distributing; however, GPL by no means prohibits commercial use.) If solutions developed in Weka are considered ineligible, as a follow up question I ask: are solutions developed in R considered eligible or ineligible (as R is also released under GPL)?. Finally, it is possible to download a binary release of Weka which can be run as a standalone program and used to develop a solution (see http://stackoverflow.com/questions/15441428/learning-weka-on-the-command-line as an example of using Weka as a standalone tool). So as a final follow-up question, is it possible to use the Weka binaries as a standalone program (i.e. no altering of Weka source code or dynamically/statically linking Weka with my own source code) to develop eligible solutions for this contest. Lastly, I am aware of commercial licensing options for Weka from University of Waikato or Pentaho corporation, but have no interest in purchasing such a license. Thanks JJJ",1,bronze,2,Sun Jul 13 2014 04:02:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9732,/competitions/liberty-mutual-fire-peril,21st
/navanr,Understanding ROC Curve,"Hi All, I did a few submissions for this competition. I know the basics of machine learning and the logic behind many algorithms. But no reading helped intuitively understand the AUC metric. I wanted to understand intuitively ROC curve and what increases area under curve. So I built a simple graphic using d3 [Link]:http://www.navan.name/roc/. You can drag the threshold bar and also adjust position of the curve for negatives using the slider at the top of graphic. You can play with these values to understand its effect on the curves. It is not very polished, but it served the purpose for me. I hope it benefits some one else as well beside me. Navan",21,gold,5,Sun Jul 13 2014 05:55:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9733,/competitions/acquire-valued-shoppers-challenge,472nd
/dremovd,Somebody at Barcelona for IFORS 2014?,Hello kagglers! I want to ask you if there is somebody of you who are currently at Barcelona for IFORS conference. May be it will be interesting for you to make off-line meeting at Barcelona at some day? I plan to be at Barcelona at 17-18 july.,0,None,1,Sun Jul 13 2014 10:47:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9735,None,None
/geraldstan,training set,"Hi, why does the training set not contain complete sentences and a sentiment score? i look for other data sets, which i want to use outside of this competition. are there any data sets which provide full sentences? which classifier do you use? is a neural network appropriate? Thanks, Gerald",0,None,1,Sun Jul 13 2014 16:38:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9736,/competitions/sentiment-analysis-on-movie-reviews,None
/shivanshup,Unable to submit my response,"Dear Admin, I am not able to submit my response to the ""Acquire Valued Shoppers Challenge"". When i try to submit the my response, the site is saying ""This competition is closed to new entrants"". But I am an old entrant and have downloaded the files a fortnight ago. I would highly appreciate if you can please solve this issue for me. Best regards, Shivanshu P",0,None,6,Sun Jul 13 2014 17:37:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9737,/competitions/acquire-valued-shoppers-challenge,None
/frederickhadley,Teaming Up?,"Pretty interested in forming a team and putting together an entry for this. I've been in industry working on data science and ml things for almost a couple years now, but this is my first Kaggle. I've been meaning to get the time to compete in one, but just haven't had much time. Here's my [Link]:http://www.linkedin.com/pub/kirk-hadley/51/169/334/ and [Link]:https://github.com/KirkHadleyif you're interested.",0,None,11,Mon Jul 14 2014 04:11:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9738,/competitions/avito-prohibited-content,28th
/vishys2487,Newbie,"Hey guys, Well I am just starting off with kaggle and thought this would be a great starting competition to begin with.... I have cut down the data into chunks of 1GB files and now I wish to process them... I am using python and have converted the 1GB file into a data frame... Now I also reckon that the categorical features have been hashed using one-hot encoding and done purposefully.. Here are my questions: 1. Is there a need to decode the values into 16 bit integers or should i find a pattern using the hashed values 2. I need a little headway into this because Im a newbie and I want to know how to go about dealing with the dataframe that I have constructed using 1GB chunk Any help is appreciated to give me a headway... PS:I also reckon that the columns I1-I13 are the impressions given by the advertiser and the columns 'C1-C26' are the actual clicks so then CTR=clicks/impressions Am I correct in assuming that?",0,None,6,Mon Jul 14 2014 07:55:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9739,/competitions/criteo-display-ad-challenge,None
/anujprakash,Logistic Regression Using Scikit Learn,Is logistic regression a good choice with such skewed data (around 4 out 1000 impression are clicked) and lot of features. Has anyone tried using scikit learn's logistic regression? I am getting all zeros after training my model. Please tell me the possible reasons. I can think of two: train size is small (I have used 2 million rows with 80% train and 20% test) or some parameters need to be changed(I have used the default variables as arguments for the logistic regression class). Thanks,0,None,4,Mon Jul 14 2014 11:52:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9740,/competitions/criteo-display-ad-challenge,365th
/wangshihan,Any one tried NBM？,"Got a f1-score of 0.88 when using the first 4/5 training data as train-set and the remaining 1/5 as test-set. However, I missed the first submission deadline, and got no chance to validate my approach, what a pity! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50466/1389/nbm.py",1,bronze,5,Mon Jul 14 2014 12:04:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9741,/competitions/wise-2014,None
/hermanbovens,Use of is_proved and close_hours,"The fields is_proved and close_hours are available in the training data only. According to the description of the fields, they could potentially indicate records that are more or less likely to actually contain illicit content (more in case of is_proved + is_blocked, less in case of high number of close_hours + not is_blocked). How could these be useful since we are not expected to predict actually illicit ads but rather the is_blocked field, which means whether or not the illicit ad is detected as such by moderators? Or will the private leaderboard be based on ads that are proven to actually contain or not contain illicit content?",0,None,2,Mon Jul 14 2014 18:29:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9745,/competitions/avito-prohibited-content,156th
/sb7995009,Can the data be made public for academic work?  ,"I know the competition rule says the data can only be used during the duration of the competition, but this dataset can be very useful for works related to recommendation systems. Is there any possibility the organizer will allow the use of this data even after the competition is over for academic and open source work",0,None,1,Mon Jul 14 2014 19:10:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9746,/competitions/acquire-valued-shoppers-challenge,226th
/davidzwoo,Anyone interested in sharing methodologies?,Great work everyone. Just quick pulse on seeing if anyone is interested in sharing methodologies. Similar to like a post mortem. That way we can all benefit from learning what worked and what didn't.,4,bronze,58,Tue Jul 15 2014 02:03:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9750,/competitions/acquire-valued-shoppers-challenge,610th
/kuntal8,Can we submit our result in Pvt LeaderBoard,"I just want to upload my outputs in Pvt Leader Board. Please let me know if it possible ! Thanks & Regards, KK",0,None,2,Tue Jul 15 2014 04:24:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9752,/competitions/acquire-valued-shoppers-challenge,None
/songgc,"Maybe, a better evaluation metric","The evaluation metric here is the global AUC, which means the global ranking matters. However, does it make sense for the business? The global AUC implies that we need to rank not only how user A, B like item X, but also how user C likes item Y vs user D likes item Z. Is that necessary? In my opinion, it would be more useful to rank users given an offer. Accordingly, the performance metric would be mean of AUC_i's, where AUC_i is the AUC for offer i. This is a relaxing of the global ranking, which makes models more powerful. It would belong to learning to rank problems.",1,bronze,3,Tue Jul 15 2014 05:17:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9753,/competitions/acquire-valued-shoppers-challenge,5th
/trisco7,Allow new entrants to submit their results,"To Kaggle Admin, As competition is now over, please allow new entrants as well to submit their entries and verify their score. I am still not able to submit my entry.",0,None,2,Tue Jul 15 2014 06:39:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9754,/competitions/acquire-valued-shoppers-challenge,None
/kazanova,We will post the winning solution here,"Hi everyone! What a great feeling to finally get the 1st prize (as well as the Master's status that was our target in this one). I would like to thank kaggle for the wonderful competitions, and my team mate Gert for his valiant effort and wit! Also congrats to the rest of the teams that played fairly (and thank you for not beating us as there was nothing to improve for quite some time!) We will wait a couple of days before posting our solution in order to contact with Kaggle first (forgive us, it is the first time!) Generally speaking, what was really important in this one was to find a way to cross validate(1st problem!) and retain features (or interactions of them ) and then again there was the big difference between the offers in the training and test set (2nd problem!). For the first one we generally used a 1-vs-rest offers' approach to test the AUC and sometimes even derivatives of that. For the second (problem) we tried to maximize the with-in offers' auc (how well the offers score individually irrespective of the rest) and the total AUC (e.g. how the different offers blend together) as separate objectives. We used 3 (conceptually) different approaches (and some other minor blends): 1. Train with similar offers 2. Train with whether the customer would have bought the product anyway3. Assume that some features work for all offers in the same way (like: if you bought the product before, that increases the probability of becoming/staying a repeater) More coming soon...",40,gold,16,Tue Jul 15 2014 08:47:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9756,/competitions/acquire-valued-shoppers-challenge,1st
/prany21,Looking for a team,"Hey I have good knowledge of R and good in stats analysis and ML. If anybody finds that of interest and need a hand, do let me know.",0,None,6,Tue Jul 15 2014 09:37:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9758,/competitions/criteo-display-ad-challenge,None
/asterios,Who is going to win?,"Hi everyone, This one was a very interesting competition although the number of entrants was not that high. I had never worked on a multiclass multilabel problem before and I learned a lot. Who do you think is going to win? Do you think that the private leaderboard rank will be more-or-less the same with the public one (mainly for the top 4 teams)?",0,None,5,Tue Jul 15 2014 09:39:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9759,/competitions/wise-2014,16th
/alexanderriggers,CSV to LIBSVM ,"Hello! I trying to convert my csv file into a LIBSVM with the phraug python scripts. (https://github.com/zygmuntz/phraug) I deleted all categorical variables, since I just want to do a performance test for MLlib Apache Spark and do not want to spent too much time with coding the categorical variables. So I have my csv file in the phraug master folder and tried several different command lines. Since I have a index in the data and a header I tried: phraug2-master admin$ python csv2libsvm.py adclick.csv adlib.data 0 TrueTraceback (most recent call last): File ""csv2libsvm.py"", line 51, in <module> new_line = construct_line( label, line ) File ""csv2libsvm.py"", line 15, in construct_line if float( item ) == 0.0:ValueError: could not convert string to float: In his github documentation I also found this: csv2libsvm.py input file output file [label index = 0] [skip headers = 0] Convert CSV to LIBSVM format. If there are no labels in the input file, specify label index = -1. If there are headers in the input file, specify skip headers = 1. So I tried : phraug2-master admin$ python csv2libsvm.py adclick.csv adlib.data [label_index = 1][skip_headers = 1]Traceback (most recent call last): File ""csv2libsvm.py"", line 29, in <module> label_index = int( sys.argv[3] )ValueError: invalid literal for int() with base 10: '[label_index' Anybody some experience with this scripts ?Do I need to change the python script in any way? Kind regards, Alex",0,None,5,Tue Jul 15 2014 16:04:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9764,/competitions/criteo-display-ad-challenge,None
/attud27,Submission Problem,"I tried a few time submitting my file (1st time for this challenge) but unable to do so, as every time, the website says,"" OOPs there seems to be some problem. This message has been relayed to our support team...etc"". My submission format looks exactly similar to the file format provided with in Data page. Does anyone having the same difficulty ?",0,None,2,Tue Jul 15 2014 17:02:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9765,/competitions/higgs-boson,675th
/kazanova,miaoski,"Miaoski, I have a feeling you might not last long enough to see the end in this one...stilI can't help but ""admire"" what you've done up there on the top :P",1,None,8,Tue Jul 15 2014 18:06:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9766,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,5th
/tuywen,What time will we know the final leaderboard result?,"rt, how long do we need to wait ?",0,None,6,Tue Jul 15 2014 20:03:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9768,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,None
/leustagos,Are team mergers allowed in the last week or day?,Im talking about team NCCU. Isnt merging in the last day a way to have more submissions? Besides they used each other submissions BEFORE merging and thats cheating.,0,None,13,Wed Jul 16 2014 00:35:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9770,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,2nd
/junjou1,R Separation Calculation,"We were trying to derive the R Separation (DER_deltar_tau_lep) from its primitive values (PRI_tau_eta, PRI_tau_phi, PRI_lep_eta, and PRI_lep_eta) using equation 23, but ran into some interesting things. At first we got imaginary values for R Sep. using equation 23, but when we changed the equation to be the square root of the SUM of the squared differences between the two ""angles"" (rather than the difference) we get numbers similar to DER_deltar_tau_lep to two significant digits, but there is still some noticeable difference between what we get from MATLAB and what is given to us in the dataset. Is there perhaps a typo on equation 23? And then to what should we attribute the difference between our calculation and DER_deltar_tau_lep?",1,bronze,6,Wed Jul 16 2014 02:11:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9771,/competitions/higgs-boson,825th
/adjgiulio,Private Public Split,Could the admin reveal the details of how private/public LB's were split?,1,bronze,3,Wed Jul 16 2014 02:46:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9772,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,6th
/kazanova,Our Approach (5th place),"Great competition with a thrilling finish! That was quite some shake-up for the top 5 positions, I guess we (that made many submissions) ended up overfitting the leaderboard al ittle bit. Big credit to Alexander and antip for the impressive late finish, proving themselves leaders in this field for one more time (as in wikipedia) . I personally (since I come from Greece and have studied in Thessaloniki ) really wanted to take that first place . Maybe next time! We made separate models for each one of the labels. In trems of software, we used the Java implementation of Liblinear , but we changed it a little bit to make it accept our sparse matrices for faster performance and made seperate models for L2, L1 regressions and L2, L1 linear SVMs all with hard regularizations (less than one). In fact, the L1 svc with some scalling and c=0.19 of the initial set, would finish top 10 on its own (you may want to consider it as it is very implementable)!0.77554 In terms of how we assigned the labels, we always took the highest score for each observation and assigned its corresponding label, plus any other that was above a threshold X (subject to cross-validation). We also used neural networks from Encog on 2000 svd components created from the initial data and they were quite useful as they optimize for a multi-label error (e.g multi-objective not each label independently) . I also codded up from scratch random forests in Java for multi label problems that accept sparse input and I managed to finish it time to run it, but it was really slow so I had to assign sub-optimal parameters and wait for 1 week to finish! they scored around 0.60 but they did contribute in the final blend. For the blend, I used Scikits ExtraTrees and Random Forests to get my final score. It is a shame that my selection of final submissions was poor as well :( Congrats to the winners (really happy for you).",17,gold,19,Wed Jul 16 2014 02:48:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9773,/competitions/wise-2014,5th
/xavierconort,"Congrats to STRAYA, NCCU and adamaconguli!","Congrats to STRAYA, NCCU and adamaconguli! It was a fun but challenging competition. Thanks to the competition host DonorsChoose.org for the dataset. Our best submission is a mixture of GBMs that took into account the time component and had a lot of historical features to describe what teachers did in the past. It looks like that we should have been more aggressive in the time decay by adding additional decay. But we didn’t choose the right submission. One very good feature was the teachers donations history. Not what they received but what they gave. Teachers who donated to exciting projects have a higher likelihood to post exciting projects. Has anybody else observed this? Xavier",11,gold,65,Wed Jul 16 2014 02:50:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9774,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,2nd
/chris29,Python 3,"I don't know how many people are using the various versions of Python, but for anyone interested in running the examples in Python 3, I've been working through them and making the changes where necessary. for my install I used Anaconda python 3.4 ( [Link]:http://continuum.io/downloads#py34) as it has all the packages needed for this project pre-installed, which I was having a lot of trouble replicating through the basic Python install. I'm also finding the Spyder IDE which comes with Anaconda to be very nice to use. The main code changes have been the Print statement becoming a function, so print 'blah' becomes print('blah') also csv_file_object.next became next(csv_file_object) and the options specified on the file open statements have changed. So far for the first Python Tutorial I have this: # The first thing to do is to import the relevant packages# that I will need for my script, # these include the Numpy (for maths and arrays)# and csv for reading and writing csv files# If i want to use something from this I need to call # csv.[function] or np.[function] first import csv as csv import numpy as npimport os os.chdir('.../KaggleTitanic/python/Kaggle1/Submission1')# Open up the csv file in to a Python objectcsv_file_object = csv.reader(open('C:/Users/christwright/Google Drive/KaggleTitanic/sourcedata/train.csv', 'rU')) header = next(csv_file_object) # The next() command just skips the # first line which is a headerdata=[] # Create a variable called 'data'.for row in csv_file_object: # Run through each row in the csv file, data.append(row) # adding each row to the data variabledata = np.array(data) # Then convert from a list to an array # Be aware that each item is currently # a string in this format# The size() function counts how many elements are in # in the array and sum() (as you would expects) sums up # the elements in the array. number_passengers = np.size(data[0::,1].astype(np.float))number_survived = np.sum(data[0::,1].astype(np.float))proportion_survivors = number_survived / number_passengers # Get stats for men and women onlywomen_only_stats = data[0::,4] == ""female"" # This finds where all # the elements in the gender # column that equals “female”men_only_stats = data[0::,4] != ""female"" # This finds where all the # elements do not equal # female (i.e. male) # Using the index from above we select the females and males separately women_onboard = data[women_only_stats,1].astype(np.float) men_onboard = data[men_only_stats,1].astype(np.float) # Then we finds the proportions of them that survivedproportion_women_survived = \ np.sum(women_onboard) / np.size(women_onboard) proportion_men_survived = \ np.sum(men_onboard) / np.size(men_onboard) # and then print it outprint('Proportion of women who survived is %s' % proportion_women_survived) print('Proportion of men who survived is %s' % proportion_men_survived) # Open test file.test_file = open('.../KaggleTitanic/sourcedata/test.csv', 'rU') test_file_object = csv.reader(test_file)header = next(test_file_object) # Open output results fileprediction_file = open(""./data/genderbasedmodel.csv"", ""w"", newline='', encoding='UTF8') prediction_file_object = csv.writer(prediction_file) prediction_file_object.writerow([""PassengerId"", ""Survived""]) for row in test_file_object: # For each row in test.csv if row[3] == 'female': # is it a female, if yes then prediction_file_object.writerow([row[0],'1']) # predict 1 else: # or else if male, prediction_file_object.writerow([row[0],'0']) # predict 0test_file.close()prediction_file.close() [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50633/1390/Submission1 - Python3.py",0,None,2,Wed Jul 16 2014 03:18:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9775,/competitions/deloitte-tackles-titanic,143rd
/default,Publicity Options,"Dear WISE Challenge Participants, Thank you for your great work in this challenge. As hinted in the welcome message, we have decided to offer two ways for publicizing your efforts. 1) A ""many-author"" paper summarizing the results of the competition to be included in the proceedings of the WISE 2014 conference. We would like to ask each interested participant team for a 1-2 page summary, to be written in LaTeX (please provide a compiled pdf, the original LaTeX source, the bibliography .bib file, and any figures in eps or pdf format). If you do not wish to be considered for inclusion in the many-author paper, you do not need to submit this summary. The organizers/lead authors (Grigorios Tsoumakas, Apostolos Papadopoulos, Weining Qian, Stavros Vologiannidis) will decide which entries are discussed and who is included as a co-author based on several factors: the rank of the entry in the competition, the quality of the summary, the correctness/novelty/originality of the proposed method, and whether the entry covers an interesting or classic genre of method. Our goal is not only to discuss the top scoring methods, but to see how a wide variety of methods (properly executed) compare with each other. The paper will not directly copy the 1-2 page summaries that you submit. It will aggregate them into a single condensed paper. Therefore, you can still post these summaries as technical reports without plagiarism if you want to. Please email your summaries for the many-author paper to greg@csd.auth.gr, papadopo@csd.auth.gr, wnqian@gmail.com and svol@datascouting.com, with the subject ""WISE Challenge Summary"". Include in your email the names of all team members, the name of the team as it appears on the Kaggle leaderboard, and a corresponding author/email address. To be considered for inclusion in the many-author paper, you must submit your summary before July 20. 2) Presentation of your approach at a special Challenge Session of the WISE 2014 Conference We offer the top 20 of the teams that participated in the competition the chance to present their work in WISE 2014 at a special challenge session, which depending on interest will include a mixture of oral and poster presenatations. If you agree to do so, you should also describe your techniques in a 14-pages paper that will be included in the WISE 2014 Post-Proceedings Volume (we will post deadlines for this as soon as possible). If you are in the top 3 teams you get a free registration for WISE 2014. Otherwise, participants should register using the Student Workshop Registration Fee (please check the corresponding website: http://delab.csd.auth.gr/wise2014/registration.php). If you are interested in this scheme and would like to participate, please send a short message about your intention no later than July 20, 2014 to the WISE 2014 Challege Co-Chairs (greg@csd.auth.gr, papadopo@csd.auth.gr, wnqian@gmail.com) in order to perform the necessary arrangements. We would like to congratulate you again for your excellent performance and we are looking forward to welcome you in WISE 2014 @ Thessaloniki.",3,bronze,1,Wed Jul 16 2014 07:53:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9778,/competitions/wise-2014,None
/rajkumarb,understanding the objective,"Can anyone please help me in understanding the objective. what does this mean ""transformed ratio of loss to total insured value"" ?. In what way predicting the ratio would help liberty mutual insurance?",0,None,3,Wed Jul 16 2014 11:15:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9779,/competitions/liberty-mutual-fire-peril,257th
/domcastro,Are the results final?,Do we wait to get contacted concerning code submission? thanks,0,None,3,Wed Jul 16 2014 17:36:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9781,/competitions/acquire-valued-shoppers-challenge,2nd
/adjgiulio,feature request,"I think it would be cool, when working as a team, to have an option to receive an email when a teammate makes a submission. The email could show who made the submission, when it was made, the score, the current rank, and submission left in the day.",1,bronze,1,Wed Jul 16 2014 20:19:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9787,None,None
/antonk,Sudden rank change,How come I'm suddenly 20 places up (compared to a couple of hours ago).Is it because of duplicate accounts or cheating accounts being removed?,0,None,1,Wed Jul 16 2014 20:25:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9788,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,47th
/abhimanipal,Need Help Isolating Features,"Hi Guys I primarily have a software background & am fairly new to data science & statistics in general. I want to use some of these competitions to improve my understanding of this subject. For the last couple of weeks I have been trying to isolate features from the test data, but so far all of them are giving me crappy results. Number of comments, number of likes, age of the poster, number of comments by the poster, none of them seem to have any co relation with the final output. (Graphs/ other calculations available on request) Can some one give me any pointers about how to proceed? What am I missing here. Any help would be much appreciated",1,bronze,3,Thu Jul 17 2014 04:35:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9790,/competitions/random-acts-of-pizza,None
/nitin1984,continuous dependent variable and few continuous and few categorical independent variable ...,"Hi guys, How will I solve a problem in which I have a continuous dependent variable ( Profit - to maximize which I want to find preferred independent variables/model ) and few continuous ( age, income) and few categorical variables (sex, state) ? Thanks a lot. Nitin [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50749/1391/Find attributes or relation or model to maximize profit.xlsx",2,None,4,Thu Jul 17 2014 06:38:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9791,None,None
/verasmith,Submission of files,"I was wondering if anyone else had trouble submitting files in the correct format. I have created a file for the benchmark ""all friends in one circle"" and checked it against the sample submission as carefully as I could. The files are the same size, both have the header, all users and their friends are included, and I have tried to follow the correct format. The only difference that I can see is that of the order of users and their friends. Does order matter in submitting the file? Thanks, Vera",0,None,4,Thu Jul 17 2014 07:43:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9793,/competitions/learning-social-circles,95th
/nickg123,Computation for Missing Transverse Energy incorrect??,"Hi,I think there may be an error in the way the missing transverse energy is computed on some patterns in the dataset. For example, on the 70th pattern on the training data (eventid=100069), I plot the transverse momenta of the Tau (blue), Lepton (green), and missing transverse Energy (black) in the files attached to this post (radial labels represent vector length, angular ones represent angle in degrees). Note: for this case, nJet=0, so this represents all the known information in the detector As you can see, all the vectors point in the positive X direction, so it is impossible for them to sum to 0! I know that the transverse energy is not exactly the transverse momentum, but via p = sqrt(E^2-m^2), I expect the missing transverse momentum vector to be simply shorter than the transverse Energy vector, but pointing in the same direction. No matter how it is scaled, the sum of the momenta in the x direction will be positive and NOT sum to 0, which violates conservation of momentum! One other thing I was not sure of was the ""Total Energy in the detector"". For this case (with nJet=0) is it simply the sum of the energies of the Tau and Lepton, or does it sum up the energies of other random particles that don't get registered as the ""Tau"" or ""Lepton"" or as a ""Jet""? If this is the case, it may explain the discrepancy I am seeing. Thanks in advance for your help! Nick Here are the calculations I did to generate the attached plot: The raw data from event id 100069 is Phi_tau = 1.1830, Phi_Lep = -1.4210, Phi_Miss = 1.4250 pt_tau = 22.2550, pt_lep = 29.2310, Et_miss = 46.4710 Using the formula (px, py) = pt * (cos(phi), sin(phi)) The (px,py) values are as follows: Tau: (8.4913, 20.7876) Lep: (4.3623, -28.29037) E_Miss: (6.7513, 45.9780) (note this represents Ex_miss, Ey_miss) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50761/1393/tmpFig.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50761/1394/tmpFig.jpg",0,None,10,Thu Jul 17 2014 11:58:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9794,/competitions/higgs-boson,453rd
/abhishek,Which submission will be chosen automatically?,"As most of my submissions have the same score, I was wondering, if I don't choose any submissions, which two submissions will be chosen by Kaggle?",0,None,7,Thu Jul 17 2014 14:36:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9797,/competitions/mlsp-2014-mri,245th
/maximus6,Any competitions about anomaly/fraud detection?,"Hello guys, I am new here and would like to find some competitions about fraud/anomaly detection? Are here any such competitions? I appreciate your answer!",1,None,2,Thu Jul 17 2014 15:04:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9798,None,None
/sfin2015,Reading Russian UTF8 data in Windows with R,"Hi, I am using R 3.0.2 64-bit on Windows 7 and had first a bit problems reading in the Russian data using it (I have been told UTF R read.csv etc works much better/easier at Linux/Macintosh). I noticed that easiest way to read Russian UTF8 to R is to change locale first to Russian and then just do read.csv with UTF-8 encoding (without locale changing it was always failing, as my normal locale in Windows is Finnish). This can be done as: # Read first 10 rowsSys.setlocale('LC_ALL', 'russian');d2 <- read.csv(""avito_test.tsv"", encoding=""UTF-8"", sep=""\t"", header=TRUE, nrows=10) Update:- Above has issue that reading of data breaks (when going to say nrows=1000). I thought changing UTF-8 to UTF8 helped but it did not, it reads all in but data in cyrillic font is totally broken. So any help how to get data loaded in at R is appreciated :)",0,None,1,Thu Jul 17 2014 17:05:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9800,/competitions/avito-prohibited-content,228th
/bobbert,Differences between TauTau and the 3 background processes,"From a CERN particle physicist's point of view, what are the relevant characteristics that would distinguish the topology of events as Higgs decomposition by the TauTau decay channel versus the three included background processes? Is there a summary available? Are there relevant research links and/or presentations? (It's fine if they are advanced papers aimed at particle physics researchers - we are just ""mining"" the physics information, not trying to understand it completely.) But it is very time consuming for a non-physicist to categorize and find diagrams of the different production and decay mechanisms for signal and the three background mechanisms. All the more, to identify characteristics of each that physicists might use to distinguish them. One way to get a handle on this might be, for example, to study visualizations of simulated ATLAS events, and learn to make a guess about a particular event type. It seems that there are tools used to do this with high school and college students, so it doesn't seem to be completely out of reach for ML purposes. This information might be helpful to apply to appropriate 3d plots of the training dataset to understand the differences across event mechanisms (especially signal events with mechanisms which can be distinguished by partitioning the signal events by weight). Some of the potential event visualization resources I have found from a quick Google search are:* Atlantis (http://atlantis.web.cern.ch/atlantis/)* Hypatia (http://hypatia.phys.uoa.gr/)* Camelia (http://www.atlas.ch/camelia.html) The provided resources from the sponsoring team have been a fantastic source of information. But I suspect there is more, and that many of us are searching for similar event characteristic information from CERN papers and presentations, reading articles, and generally looking for any tidbits that will be useful. (Btw, I would certainly be wrong to not appreciate those on the team such as David Rousseau for their outstanding contributions and nuggets of information.) Significant advances in model fitting will likely come with some understanding, even superficial, about the nature or characteristics of the underlying mechanisms. While it's true that ML can do wonders without explicit domain knowledge, it is commonly expected that major improvements come from factor analysis/treatment and with models built and tweaked to be suitable for the particular system being modeled. Don't know if this request will lead to additional information useful in advancing the quality of results, but I am hopeful, as this contest creates a level of interest that goes far beyond any simple desire to win.",0,None,2,Thu Jul 17 2014 19:55:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9801,/competitions/higgs-boson,548th
/clustifier,Non textual features,"Hi all, Do you think that using the non textual features such as the price or the category can be helpful for a model that is purely textual base? Until now I only tried variety of textual features and felt that such feature won't be helpful. Have anyone tried adding non textual features? Thanks, C",0,None,3,Thu Jul 17 2014 21:10:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9802,/competitions/avito-prohibited-content,12th
/trevorkelley,Exploratory Analysis - Cabin,"Cabin appears to have two components. A letter I suspect is the level or how far below deck a room is, and a number (room). Some tickets are associated with multiple Cabin, but they are usually next to each other, so the first Cabin will do as far as a predictive feature goes. I split the Cabin into two new features CabinLevel and CabinRoom. # Create a new factor column CabinLevel, CabinRoom AddCabinFeatures <- function(df) { CabinLevels <- c("""", ""A"",""B"",""C"",""D"",""E"", ""F"", ""G"", ""T"") CabinLevel <- gsub('^([A-G]).*$', '\\1', df$Cabin) df$CabinLevel <- factor(CabinLevel, levels=CabinLevels) CabinRoom <- gsub('^[^0-9]+([1-9]+).*$', '\\1', df$Cabin) CabinRoom <- ifelse(CabinRoom=="""", ""0"", CabinRoom) suppressWarnings(CabinRoom <- as.integer(CabinRoom)) df$CabinRoom <- ifelse(is.na(CabinRoom), 0, CabinRoom) df } I was expecting CabinLevel to be most relevant, but CabinRoom shows up as the most important. I Must do further analysis. AgeFLOAT 100.00SalutationMrs. 78.71SalutationMiss. 75.76CabinRoom 48.26OthersLived 32.23ClassThird 31.52FarePremium 25.14OthersDied 22.72ChildSurvivers 19.17GroupSize 16.25SibSp 13.47AdultsOnTicket 13.21EmbarkedS 12.79Parch 8.98ClassSecond 6.54HasFamilyTRUE 6.34EmbarkedQ 4.78HasChild 4.23SalutationTitled 4.17SalutationMaster.4.11CabinLevelE 3.64CabinLevelC 2.92CabinLevelB 2.19CabinLevelA 2.06CabinLevelD 1.89CabinLevelF 0.72CabinLevelG 0.13CabinLevelT 0.00",0,None,4,Fri Jul 18 2014 05:33:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9804,/competitions/deloitte-tackles-titanic,12th
/paweljankiewicz,Variable selection - analysis,"Here is my analysis of the variables. 1. Variable selection I generated random vectors and calculated the competition metrics using random predictions. I repeated this 1000 times to get a sense of how the metric is distributed. random_gini = [normalized_weighted_gini(data.target,np.random.rand(data.shape[0]),data.var11) for _ in range(1000)] Here is what the metric distribution looks like. Within -0.02 and 0.02 there are roughly 50% observations. What it means for the variable selection? If you include variables that are within those boundaries there is 50% probability that it is random wrt to the target. So a good initial filter for the variables is to exclude those with abs(gini) < 0.02. But you can test different values. Here comes the tricky part. Say you have found a good variable with ~0.07 absolute gini. That's great. But... there is about 0.01 probability that it is random. In a dataset with 300 variables there are probably 3 variables which seem a good predictor but in fact can be just random noise. 2. Select variables during cross validation and not on the whole training data. The number of positive observations is so low that if you select variables on the whole training dataset you already included a lot of information about positives. Select variables during cross validation this will create much more realistic validation for the model.",27,gold,3,Fri Jul 18 2014 13:10:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9805,/competitions/liberty-mutual-fire-peril,4th
/breakfastpirate,The Age-Old Question,"Do I follow the path that gives the best cross-validation results or the path that gives the best leaderboard results? This question seems to be especially important in this contest. In one case I had a solution that scored 0.02 better in cross-validation than my old solution, but then it scored 0.04 worse on the public leaderboard than the old solution. That’s a big range. This volatility is no-doubt due to the fact that there are a relatively small number of rows with a non-zero target. Usually this does not come up until it is time to pick my final submissions. And even then we usually get to select two submissions. So I always pick as one of my submissions the one with the highest leaderboard score because I would feel like a total idiot if that one would have won, and I had not picked it. Then I pick as my second submission one that has the best weighted average of cross-validation score and leaderboard score (weighted by the number of rows in training set and public leaderboard set – in this case 50% of test set). That’s a trick I learned from Sergey Yurgenson in an earlier competition. But it is awfully tempting to follow the path that gives the best leaderboard score.",13,gold,7,Fri Jul 18 2014 15:38:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9807,/competitions/liberty-mutual-fire-peril,104th
/adjgiulio,Is the LB final?,Just noticed more changes...,0,None,1,Fri Jul 18 2014 19:07:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9809,/competitions/kdd-cup-2014-predicting-excitement-at-donors-choose,6th
/apurvadubey,Hardware question,"Hi, Would a system with 4 GB memory and 1.9 GHz processor be enough to handle data/processing for this competition? I am going to use 'R' studio. What system config. is best recommended for problems where train data is > 1 GB. Thanks in advance",0,None,5,Fri Jul 18 2014 20:33:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9810,/competitions/criteo-display-ad-challenge,None
/rjrest,Deadline to make your first submission is July 20,"I just want to point out the first deadline from the [Link]:https://www.kaggle.com/c/decoding-the-human-brain/details/timeline is upcoming for anyone not yet on the leaderboard: You have until 11:59PM UTC on Sunday 20 July to make your first submission! After that, it means we are entering the final week of the challenge! Good luck everyone!",0,None,8,Fri Jul 18 2014 21:06:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9811,/competitions/decoding-the-human-brain,None
/kmcallenberg,Visualizing raw training data,"I used the training data as an example dataset for making animations with the tourr package in R. This isn't really intended to show anything groundbreaking about the dataset -- the focus was really just about making such an animation -- but I thought some people here would be interested in seeing it too, since I used the Higgs data. Here is the video: [Link]:http://youtu.be/FgKU1gEZHqgHere is the accompanying blog post: [Link]:http://www.calgorithms.com/blog/2014/07/11/producing-animations-of-high-dimensional-data-with-tourr/ Keith",16,gold,11,Fri Jul 18 2014 21:45:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9812,/competitions/higgs-boson,1542nd
/sayan21,Avito Best Prediction,"Hi, Any idea what are the parameters settings, and the number of samples etc for avito best benchmark? I can not really change all the parameters to see how the best prediction benchmark is being achieved, because the number of entries per day is limited. Sayan",0,None,2,Sat Jul 19 2014 02:59:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9813,/competitions/avito-prohibited-content,95th
/cavaunpeu,Data Scientists in New York City,"Hey all. My name is Will, and I'm a data scientist in NYC. I'm wondering if there are any other data scientists that would be interested in meeting, perhaps on a semi-regular basis, to discuss ML topics and work on Kaggle competitions over coffee and sandwiches. If so, kindly drop me a line via inbox! I currently live on the Lower East Side. Cheers, Will",0,None,3,Sat Jul 19 2014 16:40:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9814,None,None
/ericchio,AMS Metric drastically different from training and validation set?,"Hi all, there's something that's been bugging me although I think I can ignore it - still. I found that the AMS score for the training and validation set is drastically different. I could get a AMS score for training with 38 but then for testing with only 2.9, but I can't find where I did wrong though. I use 80% for training and 20% for validation. For now I resorted back to auc score. My question is: Is it expected that the training score and validation score will differ a lot? Thanks. Code below: def ams(s, b): return math.sqrt(2 * ((s + b + 10) * math.log(1.0 + s/(b + 10)) - s)) def get_ams_score(W, Y, Y_pred): s = W * (Y == 1) * (Y_pred == 1) b = W * (Y == 0) * (Y_pred == 1) s = np.sum(s) b = np.sum(b) return ams(s, b)",0,None,23,Sat Jul 19 2014 23:00:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9815,/competitions/higgs-boson,22nd
/mujtaba1,Confusion in understanding data!,How come there are 33 variables in the training set but only 17 variables in the test set? I am confused as to how can we predict using all the variables in the training set?,0,None,2,Sun Jul 20 2014 00:04:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9816,/competitions/random-acts-of-pizza,None
/telser,Question Re: Master Status,"I had a quick question regarding awarding master status; as per the wiki, the following are required: Consistency: at least 2 Top 10% finishes in public competitions;Excellence: at least 1 of those finishes in the top 10 positions Put together, would this mean that a top 10% finish and then placing tenth in a competition with 99 teams would not award master status, as tenth in that case would not be in the top 10%?",0,None,2,Sun Jul 20 2014 00:47:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9817,None,None
/erdman,"""normalized weighted gini"" metric is borked","The ""normalized weighted gini"" metric (as implemented) is borked. Consider these six target and weight items taken from the train set: >>> indices #zero-basedarray([ 91157, 411135, 177107, 416194, 130391, 222747]) >>> target[indices]array([ 0. , 0.16124516, 0.40466292, 1.0394163 , 1.17655318, 1.62952825]) >>> var11[indices]array([ 2506.88113 , 3162.2776602 , 3296.7969304 , 4381.78046 , 1881.4887722 , 712.65980664]) I have already presorted these indices by target, so here is the best ranking:>>> normalized_weighted_gini(target[indices],(0,1,2,3,4,5),var11[indices]) 1.0 Now, let's try an experiment. Let's assign the first item where target = 0 to each of the six different ordering slots, and then find the ranking that optimizes the given metric. One would expect the remaining (positive) targets to remain in a sorted order relative to one another regardless of where the 0 target is placed. >>> for q in range(6):... print max((normalized_weighted_gini(target[indices],(q,) + p,var11[indices]),(q,) + p) for p in permutations(set(range(6)).difference([q])))... (1.0, (0, 1, 2, 3, 4, 5)) #as before(0.96296686366698592, (1, 0, 2, 3, 4, 5)) #looks good, everything is sorted(0.86607452728016066, (2, 0, 1, 3, 4, 5)) #still good(0.71074792648635921, (3, 0, 1, 4, 5, 2)) #wait, WHAT??(0.53481514258610074, (4, 0, 1, 5, 2, 3)) #makes no sense?(0.2901737002846681, (5, 0, 1, 2, 3, 4)) #ok, looks good again Let's take a closer look when the zero target is assigned a ranking of 3 or 4: >>> normalized_weighted_gini(target[indices],(3,0,1,4,5,2),var11[indices])0.71074792648635921>>> normalized_weighted_gini(target[indices],(3,0,1,2,4,5),var11[indices]) #seems like this should be ranked higher, let's see ..0.53529093569721919 >>> normalized_weighted_gini(target[indices],(4,0,1,5,2,3),var11[indices])0.53481514258610074>>> normalized_weighted_gini(target[indices],(4,0,1,2,3,5),var11[indices]) #again, would expect this to be ranked higher ...0.37451649343216453 Proposed solutions: Liberty Mutual should use either (1) ""normalized gini"" on the target alone or (2) ""normalized gini"" based on the elementwise product of the target and var11. Either of these seem to induce satisfactory orderings, but the choice depends on the goals of Liberty Mutual. Here is normalized gini on target alone:>>> for q in range(6):... print max((gini_normalized(target[indices],(q,) + p),(q,) + p) for p in permutations(set(range(6)).difference([q])))... (1.0, (0, 1, 2, 3, 4, 5))(0.97273574390754747, (1, 0, 2, 3, 4, 5))(0.90431301525283314, (2, 0, 1, 3, 4, 5))(0.72856254226634209, (3, 0, 1, 2, 4, 5))(0.52962417964740249, (4, 0, 1, 2, 3, 5))(0.2540941924296502, (5, 0, 1, 2, 3, 4)) The normalized gini based on the product of the target and the weight is what is described in the evaluation section of the competition. It induces a much different ordering than above, but it is self-consistent: >>> for q in range(6):... print max((gini_normalized(target[indices] * var11[indices],(q,) + p),(q,) + p) for p in permutations(set(range(6)).difference([q])))... (1.0, (0, 1, 3, 5, 4, 2)) #a new ordering is optimal(0.9636518699655775, (1, 0, 3, 5, 4, 2)) #consistent with optimal(0.88086917542888354, (2, 0, 3, 5, 4, 1)) #consistent(0.78576906803701463, (3, 0, 2, 5, 4, 1)) #consistent(0.62796848962766139, (4, 0, 2, 5, 3, 1)) #consistent(0.30330344122365449, (5, 0, 2, 4, 3, 1)) #consistent I suspect this is the scoring metric that was intended (as it is described in the evaluation section), but I have no visibility to the goals of Liberty Mutual.",5,silver,11,Sun Jul 20 2014 08:26:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9819,/competitions/liberty-mutual-fire-peril,71st
/analyst216184,Data Set Use Post Competition?,"Hi, According to the terms, ""Unless otherwise permitted by the terms of the Competition Website, Participants must use the Data solely for the purpose and duration of the Competition, including but not limited to reading and learning from the Data, analyzing the Data, modifying the Data and generally preparing your Submission and any underlying models and participating in forum discussions on the Website. "" However, I was hoping to continue to develop and test on this data set as it's such a valuable resource- maybe even publish at subsequent conferences. Unfortunately, I didn't see explicit permission for continued use of the data set. Is permission granted and I just missed it? Or, is the data set available from the mind research network directly (I didn't see it there either but didn't look too hard)? Would the organizers consider explicitly granting permission so we may continue research in this area? Thank you for your consideration.",0,None,7,Sun Jul 20 2014 13:04:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9820,/competitions/mlsp-2014-mri,None
/nishkgp,Can anyone tell me the AUC of benchmark model ?,"Hi, Can anyone tell me the AUC of logistic benchmark model? I find it a more intuitive measure of performance than loss function given here.",0,None,8,Sun Jul 20 2014 14:35:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9821,/competitions/criteo-display-ad-challenge,229th
/lukasz8000,Achievements label,"Dear Admins, some time ago a label 'Top 25%' appeared in my profile accidentally. Could you please check why it happened and remove it? Best regards, Lukasz",0,None,2,Sun Jul 20 2014 17:08:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9822,None,None
/maxchrist,Input format for Vowpal Wabbit,"Hello my fellow kagglers, I would like to do some predictions with vowpal rabbit. But so far I have not been able to load my converted csv file. My input looks like this: 0 |Features var1:Z var2:Z var3:Z var4:N1 var5:Z var6:Z var7:3 var8:1 var9:A var10:3.898949207 var11:705.9072177 var12:NA var13:0 var14:0 var15:29 [....] So vw is not able to read input with both continuous and categorical predictors? EDIT: Please use the code below. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50934/1399/csv2vw.py",2,None,11,Sun Jul 20 2014 20:27:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9823,/competitions/liberty-mutual-fire-peril,None
/trevorstephens,Large Hadron Collider in the news,"http://www.theonion.com/video/bored-scientists-now-just-sticking-random-things-i,36415/",0,None,1,Sun Jul 20 2014 23:24:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9824,/competitions/higgs-boson,46th
/adrienpapaioannou,Getting Leaderboard ~0.306,"Inspired by Paweł's ""model"" :) https://www.kaggle.com/c/liberty-mutual-fire-peril/forums/t/9706/beating-the-benchmark If you run the R code in the attached file you should get 0.30596 on LB. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50944/1401/scriptLB306.R",19,gold,7,Sun Jul 20 2014 23:36:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9825,/competitions/liberty-mutual-fire-peril,14th
/davidthaler,404's,"Clean-up on this contest is going to be hard. There could be 100 fake accounts. Just in the top 25 alone haggar, mr magoo, mickey mouse, c.barb, pupazzo, apple40, and bruce lee have gone 404. I've never seen that before - a bunch of high finishers deleting their own account. I assume it means that those are fakes. Presumably there is a similar or larger number that were not closed by their creators. This competition is a mess.",0,None,13,Mon Jul 21 2014 02:21:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9826,/competitions/mlsp-2014-mri,17th
/tayshin,difference between <NA> and NA in R?,When I do read.csv2('train.csv') in R it seems there are two different variables for Not Available data. is there any difference between them? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/50996/1404/제목 없음.jpg,0,None,1,Mon Jul 21 2014 07:31:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9827,/competitions/liberty-mutual-fire-peril,63rd
/dominic1,More Russian Encoding Issues with R on Windows,"I have asked the following question on StackOverflow, but no one has been able to provide any insight. I wanted to post it here as well since others may have come across this issue: [Link]:http://stackoverflow.com/questions/24830574/output-not-being-encoded-consistently If I write head(output) my text is not encoded properly (as shown above) whereas if I simply write output$Title[0:3] it will display the text correctly like so: > output$Title[0:3][[1]][1] ""Renault Logan, 2005""[[2]][1] ""Складское помещение, 345 м²""[[3]][1] ""Су-шеф"" However, if I write: > head(output) Id Title IsProhibited1 10000074 Renault Logan, 2005 02 10000124 Ñêëàäñêîå ïîìåùåíèå, 345 ì<U+00B2> 03 10000175 Ñó-øåô 04 10000196 3-ê êâàðòèðà, 64 ì<U+00B2>, 3/5 ýò. 05 10000387 Samsung galaxy S4 mini GT-I9190 (÷¸ðíûé) 06 10000395 Êàðòèíà Êðûì. Ïîñåëîê Àðîìàò (õîëñò, ìàñëî) 0 Or if I try to write to a CSV (using write.table) the output is not encoded properly (as shown above). Here is a sample of my data for a reproducible example: # create test datatest <- structure(list(Id = c(10000074L, 10000124L, 10000175L, 10000196L, 10000387L, 10000395L), Title = c(""Zeit 9-25 кг новые автокресла"", ""2-к квартира, 55 м², 1 эт."", ""Достойная работа"", ""ВАЗ 2106, 1994"", ""Водитель с личным а/м Газель"", ""Комната 45 м² в 1-к, 3/14 эт.""), IsProhibited = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c(""0"", ""1""), class = ""factor"")), .Names = c(""Id"", ""Title"", ""IsProhibited""), row.names = c(NA, 6L), class = ""data.frame"") # outputs correctly as Russian charactersoutput$Title[0:6] # but, why do the same rows output incorrectly # when using head() or write.table()?head(test) How can I get my data to be output correctly? Note: I have set my encoding like so: Sys.setlocale(""LC_CTYPE"", ""russian"") # set locale for Russian encoding...",0,None,2,Mon Jul 21 2014 15:07:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9830,/competitions/avito-prohibited-content,229th
/ericchio,Do you re-train on the whole dataset after validating the model?,"Hi all, I think this is kind of fuzzy right now. Suppose you have separated a dataset into 80% for training and 20% for validation, which do you do, and why? Method A) Train on 80% Validate on 20% Model is good, train on 100%. Predict test set. OR Method B) Train on 80% Validate on 20% Model is good, use this model as is. Predict test set. Which do you do? Why would you not do the other one? What's the critical and lethal problems you see in either of these ways of doing things? My preference is method A), since seeing more data is almost always better (This is true especially if the data is homogeneous and resemble live data, which may not always be the case in practice from different data sources).",12,None,10,Mon Jul 21 2014 17:50:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9831,None,None
/jimbot,"Non ""Z"" values for target in test.csv",In the test.csv file the value for id 16 and about 10000 others isn't Z. Is the point of the exercise is to predict target? What meaning does this have?,0,None,2,Tue Jul 22 2014 08:22:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9833,/competitions/liberty-mutual-fire-peril,481st
/alexlebedev0,Is there still an opportunity to submit my code?,"Hi Dear All, I started participating in this competition about three weeks ago. Back then, I noticed a huge mismatch between model's performance on my validation set and the feedback that I was receiving during my submissions. I did some additional work in order to prevent potential overfitting, but did not observe substantial improvement and eventually gave up. The thing is that I have just occasionally noticed that my result is 2nd after the final evaluation (according to the leaderboard). I am not completely sure what might cause such a mismatch, but I would be happy to describe my strategy, as well as some further steps that I had in mind but did not implement. I wonder if I still have a chance to submit my code to receive some sort of a certificate at least. Thank you very much! === Regards, Alex",0,None,1,Tue Jul 22 2014 11:03:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9834,/competitions/mlsp-2014-mri,2nd
/rajeev16,Dealing with NA values,Hi Needed help in dealing with NA values. When i removed all rows with NA values (in training set ) then total number of rows reduced to 40669 which just 9% of the original training set. Is there a smart of replacing the NA with imputed values in R ? Any inputs would be helpful. Thank you Rajeev,0,None,4,Tue Jul 22 2014 16:16:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9837,/competitions/liberty-mutual-fire-peril,456th
/adin216165,What kinds of methods are effective for this challenge?,"Hi, All: Could someone who is more experienced in this field share some knowledge for this problem? I tried logistic regression, and can get a score about 0.4765. I know there are many more effective methods, such as random forest tree, gradient boost regression tree, are there other effective methods? Or Can someone share some papers they know? Can they be implemented in a 8 GB single machine ? Thanks a lot!",0,None,13,Tue Jul 22 2014 18:28:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9838,/competitions/criteo-display-ad-challenge,327th
/wyliestilwell,Beating BigML: delaying the robot apocalypse.,"I just started learning about stats a few weeks ago, so I haven't learned very much about it. The first thing I did was check out some software. I searched the forum for an entry from someone who used BigML, but couldn't find one. I figure BigML is the goal to beat, right? Anybody that does better than BigML is a champ in my book. I ran the training data through BigML and it predicted the training passenger survival with about 95.5% accuracy; of the 891 passengers on the training set, it got 852 right. I look forward to learning about statistics, and I definitely want to beat BigML. If we beat it, we have ""beat the machines"" and maybe delayed the robot apocalypse a few more decades. Good luck everybody!",0,None,5,Wed Jul 23 2014 06:12:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9839,/competitions/titanic,None
/ecodan,Sharing approaches,"Hey all - I entered this competition purely for knowledge - I wanted to try a regression problem with seasonal and cyclical elements. I'd like to start a discussion on the general approach people are taking to solve the problem. I'll start - here's the gist of what I've done so far: - Load the data - Extract the year, month, day-of-week and time-of-day data from the data/time stamp - Convert categorical data to binary features using sklearn OneHotEncoder. - Scale the scalar features using sklearn StandardScalar - Select the final features: (scalars) temp, atemp + (categorical features) weather, season, working day, holiday, year, month, dow, and hour broken out into binary features - Train two models: one for the casual rentals and one for the reserved rentals (I tried a number of different algorithms but settled on RandomForestRegressor tuned with GridSearchCV) - Score the models using RMSLE - Apply the models to the test data (prepared as above) This approach gets me to ~0.54 RMSLE on the leaderboard. I'm guessing my approach is overly simplistic and doesn't accurately account for the seasonality and cyclic elements (though I though including year, season, month, DOW and hr would have been enough). I also have a feeling I have a bug in my code around how I'm employing cross validation... I definitely get the feeling that the model is over-fit. If anyone is interested, my code can be found at: https://github.com/ecodan/kaggle-bike Look forward to hearing how you approach(ed) the problem. Cheers,Dan",1,None,3,Wed Jul 23 2014 06:17:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9840,/competitions/bike-sharing-demand,2001st
/bimehta,Getting High Scores without Looking at Actual Data Set,"As we all know, this is an open ended competition where the entire data set is publicly available. So if the objective is just to to top the leader-board one can easily download the data from Wiki and get a perfect score of 1. No need to go below.We can see that happening on the other Titanic competition on Kaggle where people have raised issue regarding the authenticity of submissions. The good part here is that the models will be evaluated before declaring the winner and we will be able to see a good model built by one of us when results are out. Coming to a good model, here are some things that I did that helped me go above the 0.85 mark. Do a lot of exploratory analysis. R provides some really good plots to do such analysis. 1. I used Conditional Forest model rather than Random Forest. Random Forest I feel is pretty much hyped and works well on numeric variables rather than discrete ones. 2. The ticket and cabin variables are also important and if used correctly gives a lot of information. If you notice that people travelling on same ticket have high probability to either survive as a lot or perish as a lot. This information can be used to build a good model. However using Ticket variable by doing some transformation in Conditional Forest gives a Sensitivity of 1 which is over fitting all True Positives. Hence all True Negatives are ignored and we get Specificity 0. So we cannot include anything related to ticket/cabin in conditional forest without highly over fitting the data. Also people in certain cabins had high rate of survival. You can find the titanic structure here: http://www.kaggle.com/c/titanic-gettingStarted/forums/t/4693/is-cabin-an-important-predictor/25690 3. Hence to avoid that I created another model using KNN, but that didn't give me a high score. It gave me a score in the area 0.8-0.82. 4. Next I tried to ensemble the models using probabilistic approach and it gave me good results. 5. The Fare variable is highly skewed. Using it, as it is, gets you stuck in 0.82 region. If you use feature scaling or transformation on Fare you can come out of that block hole. 6. SibSp and Parch variables are also good indicators of survival. You need to notice certain things, like if Husband survived probability of his wife surviving is high. If the child survived, probability of one of his parents surviving is also high. Use it wisely instead of just adding them and creating Family variable. 7. Embarked is another important feature that dictates the survival of female. 8. Most of the false positives and false negatives happen in Pclass-3. Concentrating and doing some exploratory analysis on that class will also give you certain insights which will help you in data pre-processing. 9. I have used R and worked with most algorithms using caret package. 10. I have been doing manual ensemble now. I intend to investigate caretEnsemble and see if it gives better results. 11. I used linear regression to account for missing age values. Accounts for almost 90% variance in the data set. 12. I also combined my test and train data set to do exploratory analysis and data pre-processing I will post upload my analysis on github and upload it here once I am done.Any more ideas are welcome. We can try out different ideas and combine them and see if we can get a better mode. I know many would call it over fitting the data but given the size of the data set, and the way data is coming, some over fitting wont hurt as predicting True Negatives is more important as it is question of survival",0,None,7,Wed Jul 23 2014 11:06:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9841,/competitions/deloitte-tackles-titanic,4th
/emanuele,post-competition article: invitation,"Dear Participants, We, hosts of the DecMeg2014, are extremely happy of how this competition has been going over the last three months, where extremely high decoding accuracies were reached. At the end of this week, on Sunday July 27th 23:59 UTC, the competition will end, so good luck for the submissions during these last days. We would like to remind you that we are in the process of preparing an article to describe this crowd-sourced effort to attack the problem of decoding across subjects from MEG data. For this reason we would like to invite the participants to join this further activity, that will start after the end of the competition. This invitation is meant for the winning teams as well as all other participants. We would like to describe the global effort made and to stress the differences in the models related to their score. For those of you willing to contribute and proposing interesting methods with high scores, we will offer to co-author the article. If you are interested in joining this initiative, please contact us at the following email address: decmeg2014@list.fbk.eu , which we already advertised in the rules of the competition. After the competition ends, we will contact you. Note that most of what we will require from you will be to provide a description of your model(s), as already suggested in the rules of the competition (see [Link]:https://www.kaggle.com/c/decoding-the-human-brain/rules). There you can find the document template that Kaggle provides for this purpose. Our suggestion is to include also your public and private scores as well as the leave-one-subject-out cross-validated accuracy. We invite you to start writing the description of your method in these days. The deadline to express your interest in this post-competition initiative is August 15th, 2014. Best, Emanuele, Mosi, Paolo",1,None,6,Wed Jul 23 2014 17:22:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9842,/competitions/decoding-the-human-brain,None
/jfkingiii,Has anyone tried Azure ML yet?,"Microsoft's new predictive modeling as a cloud service offering: http://channel9.msdn.com/Blogs/Windows-Azure/Predictive-Modelling-with-Azure-ML-studio I'll edit this post as I find out more, but it looks promising.",1,None,4,Wed Jul 23 2014 19:04:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9843,None,None
/navincota,Data use post competition,Hi Organizing Team !! Good day ! I have a quick question about the terms for continued use of the data post competition.Please let me know if the data could be used for further research/publication post competition..I would ofcourse acknowledge and reference UPenn and Mayo Clinic's Seizure Detection Challenge as well as any relevant publication. Looking forward to your reply Thanks Navin,1,None,5,Wed Jul 23 2014 19:07:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9844,/competitions/seizure-detection,112th
/nilangpandey,Dissertation in machine learning,"Hello, this is Nilang Pandey from India. I am pursuing my masters in engineering in computer engineering. I am in my final year and now we are suppose to carry out dissertation work which will be my very first experience. Now the question is that I am thinking to carry out the dissertation in machine learning, but the confusion here is that I'm not understanding that what appropriate topic should be selected by me for dissertation? It would be really great if you could suggest me some topics in machine learning.Also I am not understanding the approach to select the topic for the dissertation. I am actually a beginner in machine learning, few months ago I read a chapter regarding it, found it really interesting. From where I could get my concepts clear? Also please let me know what things I should know before doing dissertation in machine learning? What steps I should take in order to understand the concepts, finalizing the topic and further carry out dissertation? Actually one problem I am facing right now is the shortage of resources, required guidance and training. I hope you would understand my problem and reply. I am really anxious and in total disarray. Please help me. I really want to do something big and great in this field. Waiting for kind and positive responses.",0,None,2,Wed Jul 23 2014 21:14:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9846,None,None
/sahalom,submission file,"hello, i need your help on how to fill submission file. i have a good accuracy rate and root mean square errors slightly less than 1. but i don't know how to do with submission files. i have tested the model and i am struggling with submission file. please direct me!!!!!!!!!! thanks in advance!!!!!!!",0,None,1,Thu Jul 24 2014 08:52:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9849,None,None
/anujprakash,Sampling and its effects,"The train set has 45.840.616 rows out of which 11.745.438 are true and 34.095.178 are false. So that's a ratio of around 0.25 true values in the sample. I had used Vowpal Wabbit discussed [Link]:http://www.kaggle.com/c/criteo-display-ad-challenge/forums/t/9583/beat-the-benchmark-with-vowpal-wabbit and got a score of 0.479. I felt that maybe sampling to 1:1 ratio of true vs false shall improve the results. However, I was surprised to find that the score was very bad (around 7 !) I am curious to know how is it possible. Can anyone explain this? Also, is there anyone who has tried this and got a better score (because then it means there is something wrong with my implementation)? Thanks",0,None,5,Thu Jul 24 2014 10:16:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9850,/competitions/criteo-display-ad-challenge,365th
/alexlebedev0,2nd position (solution),"Hi Dear Colleagues, I just wanted to share my solution that led me to the 2nd place: [Link]:https://github.com/alex-lebedev/Kaggle-MLSP-2014 I had some problems during submissions. I was first receiving errors, although my csv-files looked just fine. I tried different formats, one of which has finally worked. I implemented ""feature trimming"" in my solution, which consists of 1) introducing a random vector into the feature set, 2) calculating feature importance, 3) removing the features with importance below the ""dummy feature"". Yes, it's as simple as that... As I mentioned [Link]:https://www.kaggle.com/c/mlsp-2014-mri/forums/t/9834/is-there-still-an-opportunity-to-submit-my-code, I did not observe substantial progress and eventually gave up (after the third try). This is why I didn't even try more advanced techniques like boosting, and SCAD-SVM, Elastic Net, recursive feature elimination. Neither did I try building hierarchical models, which I had in mind, but did not implement for the same reasons. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51131/1432/Lebedev_AV_MLSP_2014_Sch.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51131/1459/Lebedev_AV__MLSP2014_Sch.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51131/1460/Lebedev_AV__MLSP2014_Sch_version_2.0.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51131/1465/Lebedev_AV__MLSP2014_Sch_version_2.1.pdf",13,gold,5,Thu Jul 24 2014 14:57:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9854,/competitions/mlsp-2014-mri,2nd
/rafacarrascosa,"Get to 0.65, with code on Github","Hi all, I've been playing with this problem the open-source way, putting all my code on Github. The other day I got lucky and reached 2nd place with score of 0.65 and I thought it would be nice to share what I did with everybody. So, here it is: https://github.com/rafacarrascosa/samr There's code, documentation, installation instructions, model configuration, usage instructions and everything you need to produce a submission scoring 0.65. I would say it's a nice place for a beginner to see some well documented non-tutorial code and for the more veterans to checkout the working methodology of someone else. In case you're wondering: I'm OK if you use my own code to beat me at the competition, just share back what you've learned! Cheers!",46,gold,10,Thu Jul 24 2014 15:44:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9856,/competitions/sentiment-analysis-on-movie-reviews,85th
/chris29,Other techniques,"The competition is heating up, and the difference between 1st and 5th places is less than 0.05., so now you’re wanting to see what you can do to improve your model, to eke out a percentage point or two to push you up the rankings. One potential method is known as Bootstrapping. You train your model (i.e. come up with a formula) on only part of the training dataset, after holding out some randomly selected observations. This random “hold out” dataset is your “validation” dataset. You run your model on this dataset (i.e. on observations not used to train your model) and calculate R-squared. This should be your benchmark r-squared for your model (i.e. *not* the one calculated on the training dataset). The advantage of this validation method is that it is simple and quick to implement. So far so good? Now let’s take a leap into bootstrapping and v-fold cross validation. Bootstrapping is just another word for resampling the data set many times. Data Miners prefer to use the word “bootstrapping” rather than “resampling” because they think it makes them sound cool. It doesn’t. Cross validation means that you partition your dataset into a number of complimentary (non-overlapping) subsets, you build the model on one sample and then test and calculate R-squared on the sum of the rest of the samples. Repeat this for each sample and take the average R-prediction of each of the runs on the validation set and hey presto you have your validation r-squared. The traditional number of samples to use is 10 (i.e. 10-fold cross validation), but it might be worth playing with that number. In other words, divide the data into 10 sets, train the model on the first, then test on the other 9. Then train on the second set and test on the other 9 again, repeat for each set. And if you are *really* keen and still trying to sound cool you can try “bagging” which is short for “bootstrap aggregation”: 1. Take a hold out validation sample2. Bootstrap the remainder of your training dataset 3. Train you model on each bootstrap sample4. Run each of your bootstrap models against the validation set and validate as above. (Post originally written by Glen Ryman, edited by me).",0,None,1,Fri Jul 25 2014 07:23:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9862,/competitions/deloitte-tackles-titanic,143rd
/lily14212,zero error?,is the ground truth leaked somewhere? how come people can get perfect solution?,1,None,2,Fri Jul 25 2014 19:34:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9863,/competitions/bike-sharing-demand,241st
/kevinandhu,Gap between CV and LB score,"Hi,experts, did you have gap between CV and LB score? I used 10-fold cross validation to select the best model, but the gap was around 0.08, it seem something wrong with me. Any comments will be highly appreciated.",0,None,16,Sat Jul 26 2014 03:59:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9864,/competitions/liberty-mutual-fire-peril,130th
/satyaprakash1986,Decent System config for data analysis,"Hi All, I am building a new system.Just wanted to know what would be decent system config powerful enough to let me try out most of the competition. Earlier I worked on a 4GB laptop with dual core (it died )and competition these days have a lot bigger dataset. Please help me with Ram,processor etc that will be good enough. VM is not a option as doller differential is quite high and am a casual competitor. Thanks Satya Prakash",0,None,3,Sat Jul 26 2014 12:59:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9866,None,None
/yzhao0527,I think Kaggle should have two user rankings,All time and last 12 months anyone agree?,0,None,1,Sun Jul 27 2014 16:07:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9868,None,None
/jiweiliu,Why I can't select my submission now?,Help~~~ Anyone can select a submission now? it seems not clickable at all.. I try to click but I don't see the check mark and nothing is selected. Weird..,0,None,1,Mon Jul 28 2014 01:33:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9870,/competitions/decoding-the-human-brain,66th
/keithing,Signal Processing,"I found that I was able to get slightly better scores on Triskelion's python script and Vowpal Wabbit by simply running a Fourier transform on the data. I am under the impression that Fourier transform shouldn't change the performance of features with a linear classifier. Does anybody know if this is true? And if so, does anyone have a guess why I would have noticed a difference (perhaps to do with rounding of very small decimals)?",0,None,1,Mon Jul 28 2014 06:17:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9871,/competitions/decoding-the-human-brain,48th
/rjrest,End of competition! Great work,"Hi everyone, wow congratulations to all for the amazing results and the hard work that went into the leaderboard scores! This is one of the hardest test sets I can remember. In the next couple days, Kaggle will be vetting the leaderboard for adherence to the rules and summarily removing [Link]:https://www.kaggle.com/c/decoding-the-human-brain/forums/t/9429/cheaters-on-the-leaderboard. Hang tight for notification to the winners, and the official results.",1,bronze,4,Mon Jul 28 2014 06:26:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9872,/competitions/decoding-the-human-brain,None
/yansoftware,All early seizure training samples for patient 4?,"Patient 4 has only got 20 seizure clips in training and all of them are within first 15 seconds. If we train model individually for each subject, then we cannot distinguish early from non-early seizure for patient 4 since we have no non-early seizure training samples ??",0,None,1,Mon Jul 28 2014 06:57:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9873,/competitions/seizure-detection,20th
/kltah101724,Excel Tutorial: No difference between Male only and Male+FemaleClass3>20,"I followed along with the tutorial for the pivot tables, and got the same score when I submitted with Male Only Decease and Male+Females in Class 3 who paid more than 20 decease. Could this have been possible? As a rough check to make sure that I wasn't submitting the exact same results, I summed the Survived column for both submissions and got a different number. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51258/1420/genderbasedmodel.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51258/1421/genderclassfaremodel.csv",0,None,2,Mon Jul 28 2014 10:08:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9875,/competitions/titanic,None
/vjkadekar,Holiday and Working day Data definition,"The data definition says Holiday: shows if the day is a holiday. But it doesnt explain what value in the column corresponds to what? Does the column say 0 -> not a holiday and 1 -> holiday? Likewise, Workingday: whether the day is neither a weekend nor holiday 0 means day is working day and 1 means its either weekend or holiday?",0,None,2,Mon Jul 28 2014 11:03:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9876,/competitions/bike-sharing-demand,2738th
/vemakg,Missing data,Ive am a newbie and am curious how are the missing data handled in the regressions. By dropping of the data we probably lose some information and may be we dont want to do that. The ad tokens can probably be substituted with another token proxy token but how about the integer valued features.,0,None,6,Mon Jul 28 2014 22:50:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9877,/competitions/criteo-display-ad-challenge,None
/amitsinha1,More then 4 authors for NIPS workshop? ,"I understand that in the Kaggle competition, a team may be no more then 4 people, but I was wondering if people could submit approaches to the mentioned NIPS conference with more then 4 authors? The reason I ask is that I've formed a team of 4 people for this competition, and for the purposes of the cash prizes and the ""HEP meets ML"" award we would limit the group to those original 4, but we have some additional colleagues that we ""bounce ideas"" off of and in the NIPS submission, we'd like to credit them for their input & suggestions by listing them as co-authors.",0,None,4,Mon Jul 28 2014 23:17:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9878,/competitions/higgs-boson,701st
/smolnar,Session segmentation in Dataset,"Hello there, I'd like to know what approach was used for segmenting sessions in the dataset. Are the sessions segmented manually by human annotators or by an existing algorithm? Thank you very much. Best regards, Samuel",0,None,2,Tue Jul 29 2014 16:38:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9879,/competitions/yandex-personalized-web-search-challenge,None
/wcukierski,Update on the Evaluation Metric ,"We have just deployed and rescored all submissions using an updated version of the evaluation metric. The metric is still Normalized Weighted Gini, but we have made a correction to the original code. Here is the R code for the new metric, with the changed lines in bold: WeightedGini <- function(solution, weights, submission){df = data.frame(solution = solution, weights = weights, submission = submission) df <- df[order(df$submission, decreasing = TRUE),] df$random = cumsum((df$weights/sum(df$weights))) totalPositive <- sum(df$solution * df$weights) df$cumPosFound <- cumsum(df$solution * df$weights) df$Lorentz <- df$cumPosFound / totalPositive n <- nrow(df) gini <- sum(df$Lorentz[-1]*df$random[-n]) - sum(df$Lorentz[-n]*df$random[-1]) return(gini)} NormalizedWeightedGini <- function(solution, weights, submission) { WeightedGini(solution, weights, submission) / WeightedGini(solution, weights, solution)} For those who want to reproduce a test case: var11 <- c(1, 2, 5, 4, 3)pred <- c(0.1, 0.4, 0.3, 1.2, 0.0)target <- c(0, 0, 1, 0, 1) should now score -0.821428571428572. We apologize for the scoring change and any lost time that it causes. The new scores will be similar to the old methodology, but this change was a necessary fix and will make the scores match other, authoritative implementations of the metric. Some of you have raised concerns about the metric's stability with respect to target order. I will respond to this concern in its associated thread shortly. Thanks for your participation and apologies for the change!",9,silver,20,Tue Jul 29 2014 18:05:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9880,/competitions/liberty-mutual-fire-peril,None
/superlaw,"looking for a team, better in Toronto","Hi Guys, I am looking for a team, better in Toronto. My background is applying Machine learning on Geomatics. The research of my current PhD study is context based laser scanning data classification. The model is Conditional Random Field. With 5+ year experience in machine learning, I am familiar with most of machine learning algorithm, both regression and classification. from linear regression, logistic regression to SVM, Random forest, CART, bagging, boosting to advanced probabilistic graphical model, like Markov Random Field, Hidden Markov Model, Conditional Random Field. I often use R, Matlab and python for programming. The objective I join a team is to understand how machine learning/data mining is used to solve a business or realistic problem. Please feel free to contact me. I am a very easy-going and open-mind guy.",0,None,2,Tue Jul 29 2014 18:18:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9881,None,None
/joycenv,SMS Account Verification,"The data scientist community is the lifeblood of Kaggle. In exchange for your hard work, you trust us to create a fair and meritocratic competition environment. We have historically invested a significant amount of time screening for teams who do not play by the rules. These disqualifications are enforced in a reactive manner, and are based on manual review. These are only partially effective at preventing rules violations. To take a more proactive stance, we will soon require all users to SMS verify their accounts. Here are the details: When do I verify my Kaggle account with SMS?Once the feature is rolled out, an SMS Verification is required the first time you make a submission. You will only have to verify your account once. What will you do with my phone number?We will only use your number for the purposes of verifying your account. It will never be listed or searchable on your profile. For more details, please visit [Link]:https://www.kaggle.com/about/privacy. I just want to try Kaggle for fun.We don't want to discourage new users from checking out the platform and getting a feel for how things work. For this reason, “Getting Started” competitions will not require account verification in order to make submissions. However, once you want to explore the rest of the website, including competitions where Kaggle points or prizes are on the line, account verification will be required. We're really excited about introducing verification. We know it can be dispiriting to compete alongside rules violators. We are looking forward to cleaner leaderboards and cleaner sportsmanship!",37,gold,42,Tue Jul 29 2014 20:10:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9883,None,None
/reinaldoviccinigutierrez,"Problems with the word ""retrieval""","Hi, This might sound likea silly question but since I'm not a native english speaker I am going to go a header with it. What do they mean by Retrieval? Is it the moment when the pizza request is erased? thanks...",0,None,3,Tue Jul 29 2014 23:03:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9888,/competitions/random-acts-of-pizza,None
/suvrathiran,Feature selection for categorical variable,"Is it a good idea to keep few values and drop rest of them from within a categorical variable. For example, if there are 1000 values for variable C1. On binarization and doing some analysis I find out 500 of them are bad predictors. Is it good to drop those values from my model? Will it cause over fitting? Any insights will be helpful ! Thanks",0,None,4,Wed Jul 30 2014 08:09:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9890,/competitions/criteo-display-ad-challenge,85th
/minhdinh0,"Simplified problems, newbie questions","Hi, I am new to machine learning and want to get start with this competition. However, I had to simplify it a bit and tried to approach with another way. In my project, I only tried to classify 5 classes, which are: Completely Round (7.1); In Between (7.2); Cigar-Shaped (7.3); Disk-View Edge On (2.1) and Spiral Arm(4.1). I choose only picture with high probability of belonging to one of these classes (>70%) and assume that as 100% (which, in my opinion, turns this problem into a complete clasification problem). I divided the training set into 2 parts. Part 1 (75% of original training set) will be used as my new training set. Part 2 will be used as test set and the result will be used in comparision with what I achieve. I intend to use ""K-nearest neighbor"" or ""Naive-Bayes"" method, so I have some questions to consider. +) Which features should I extract from those images ? +) Is there some better method to deal with this kind of problem ? If you have any idea about this problem, feel free to post it here also. I would love to know. Thanks for reading and I am sorry if this bothers you.",2,None,3,Wed Jul 30 2014 16:18:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9892,/competitions/galaxy-zoo-the-galaxy-challenge,None
/nipunalahakoon,Is it okay to use the data in the competition for my project?,For my final year project is it okay to use the data in kaggle competitions ? Because gathering data is a long and expensive process. So i want to ease my pressure.,0,None,3,Wed Jul 30 2014 18:04:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9893,None,None
/dsananez,Any Latin/Spanish-speaker Kagglers?,"My name is Daniel and I'm interested in joining/creating a Data Science community here in Latin-America. As a less-developed country (I'm from Venezuela) sometimes is really hard to find professionals in this field. Nevertheless, I see really big opportunities here. Bienvenidos!",0,None,8,Wed Jul 30 2014 20:34:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9895,None,None
/dsananez,"As an economist willing to be a Data Scientist, Whats next?","Hi everyone, My name is Daniel, I'm a 21 years old recent Economics graduate. I'm very interested in being a Data Scientist (I'm actually doing a Data Science specialization right now). However, I feel I need some advise here. What do you think/consider would be the best next step in my career in order to achieve that goal (other than get experience through Kaggle, I'm already doing that)? Maybe getting a master in CS/Math/Stats? Getting one in Business Analytics related field? Have an other option? PS: I've learned to use Python and R. I also learned statistics and econometrics at college and I'm now working as a SCM intern in Chevron. Thanks!",0,None,4,Wed Jul 30 2014 20:50:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9897,None,None
/vishaljavakhedkar,Import error in SAS,"Hi, is any one using SAS for this. I tried importing but getting lot of errors like 'NOTE: Invalid data for weatherVar162 in line 266 1968-1969'. File got imported but not sure all the variable and observation properly imported, any clue any one.",0,None,6,Wed Jul 30 2014 20:57:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9898,/competitions/liberty-mutual-fire-peril,None
/sujoyjoy,Adjusted R2 and RMSLE,"Hi All, I am new to Machine learning and to kaggle. So excuse me if my question is dumb. I trained using the most simple model i.e Linear regression. In my first attempt I extracted only time from date time and trained the model with time and all the other attributes. I got an Adjusted R2 value as .63 and got the RMSLE on submission as .99 When i extracted Year & Month also from datetime, i got Adjusted R2 value as .69 but after submission RMSLE score ~1.09 Does this mean that my model is already over fitted (suffer from variance) ? I am little confused here.",0,None,3,Wed Jul 30 2014 21:09:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9899,/competitions/bike-sharing-demand,1972nd
/muthujothi,Jet Based Classification Models (Feature : PRI_jet_num),"Reading this thread https://www.kaggle.com/c/higgs-boson/forums/t/9552/missing-features-to-impute-or-not made sense that the missing data ( except for DER_mass_MMC) is missing systematically. And most of the missing data are centered around the number of jets. For example When the feature PRI_jet_num = 0, the following features DER_deltaeta_jet_jetDER_mass_jet_jetDER_prodeta_jet_jetDER_lep_eta_centralityPRI_jet_leading_ptPRI_jet_leading_etaPRI_jet_leading_phiPRI_jet_subleading_ptPRI_jet_subleading_etaPRI_jet_subleading_phiPRI_jet_all_pt are meaningless.( will have -999) So my idea was to aggregate the meaningful data (by removing the systematic missing columns) for each of the value of PRI_jet_num feature and train 4 models for each PRI_jet_num value . From the train set, for PRI_jet_num = 0, 1, 2 and 3 i pulled out the data and removed the columns that had systematically missing values (-999). For jet = 2 and 3 there were not systematic missing values. So the feature space was like when PRI_jet_num = 0 we have 18 features, PRI_jet_num =1 we have 22 features and for PRI_jet_num =3, 4 we have 29 features (jet num was removed as it is explict) Then trained this data on the GBC model in scikit as in the thread https://www.kaggle.com/c/higgs-boson/forums/t/9471/a-quick-recipe-with-scikit-learn by Darin Baumgartel. But all this work went in vain. The LB score came back hitting as 2.91883 which is much far below than known benchmarks. Would like to hear experts thoughts on this approach. Is there something wrong fundamentally with my approach to handling of systematic features? Please share your thoughts..",1,bronze,9,Wed Jul 30 2014 21:29:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9900,/competitions/higgs-boson,736th
/vaibhavbhat,Practice competition ,"Hello Folks, I am new in Data science world. I am taking Data Specialization course from Coursera. In Kaggle, I am looking to practice competition in which I can use the concepts I am learning in course. Can someone please guide which competition I should look. Thanks",3,None,1,Thu Jul 31 2014 03:19:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9903,None,None
/vishwanathanraman,Roller Coaster Ride,"I am looking for expert suggestions or corrections on my approach. I am kind of stumped with the results I am getting. I have moved the variables var1 to 9 and dummy to the end of the file after translating them to their keys. I wrote an Octave Script to select the specific variables based on the cross validation score. I find dismal results. I got a score of .0.30606 with the following selections 3,4,6,8,9,10 where 3 is the index of var10. Any score subsequent to that is dismal though my cv set indicates an improvement. Is there something I am doing wrong? I understand that my selection of cross validation set is not that great. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51392/1426/runLineReg29Jul_C2.m",0,None,1,Thu Jul 31 2014 03:32:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9904,/competitions/liberty-mutual-fire-peril,255th
/xinyuan,Is there some difference between features I1-I13 and C1-C26,"I1-I13 - A total of 13 columns of integer features (mostly count features). C1-C26 - A total of 26 columns of categorical features. The values of these features have been hashed onto 32 bits for anonymization purposes. what the difference between these two class features? From posts post by other people. I know that C1-C26 are some features about Publisher, Advertiser, User features, etc. And I can't make sense of I1-I13. Why separate these features from C1-C26? Are there some difference between them? thanks very much : )",0,None,5,Thu Jul 31 2014 10:01:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9905,/competitions/criteo-display-ad-challenge,619th
/arnosolin,1st position (solution),"Hi all, I've been away on vacation so making this post has been delayed a bit. I'm sharing the codes and [Link]:http://becs.aalto.fi/~asolin/documents/pdf/Solin-kaggle-2014.pdf of the model that was used in the winning submission: [Link]:https://github.com/asolin/MLSP2014-kaggle-challenge The solution is based on Gaussian process classification. The model is actually very simple (really a 'Solution draft'), but it did show promising performance using LOOCV. The score on the public leaderboard was, however, only 0.70536, discouraging any further tuning of the model. In the end, it turned out to perform well on the private leaderboard. See the report and the code readme for more details.",16,silver,1,Thu Jul 31 2014 11:59:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9907,/competitions/mlsp-2014-mri,1st
/michaelnelson,Inconsistent sign in DER_met_phi_centrality,"For EventId = 100001, I have PRI_met_phi = -1.9159999999999999, PRI_lep_phi = 0.10299999999999999 and PRI_tau_phi = -3.0110000000000001. Using the formula on p.15 of the Technical documentation, I calculate DER_met_phi_centrality = -1.4141801882762368 however in the data it is DER_met_phi_centrality = 1.4139999999999999. I appreciate there are rounding errors but I get the opposite sign. Trying the formula on all the data it seems it works correctly about half the time but gets the opposite sign the other half. Am I doing something wrong?",1,bronze,2,Thu Jul 31 2014 13:26:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9908,/competitions/higgs-boson,1036th
/muthujothi,Detailed resource on handling missing data values,"I came across this PhD thesis which talks in very many details about missing data values in the context of machine learning, http://www.cs.toronto.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf I hope since the data in our context is missing systematically, (except for DER_mass_MMC) subspace reduction could be tried. I tried it and some details of it are here, https://www.kaggle.com/c/higgs-boson/forums/t/9900/jet-based-classification-models-feature-pri-jet-num (it needs more tuning as Lubos has hit 3.55 with subspace model). Apart from that I'm still trying to wrap my head around the concept of augmenting the input to a standard classifier with a vector of response indicators as mentioned in his thesis. I think that idea is like for our feature space of 30, the augmenting response indicator vector would also be of size 30 (making the feature space size 60) with a value 1 if the respective feature is present and 0 if the feature is absent. Any thoughts on if my interpretation is correct and some intuition if it would work for our case ?",4,bronze,3,Thu Jul 31 2014 15:49:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9909,/competitions/higgs-boson,736th
/mathusuthan,Video Tutorials on Machine Learning with Scikit-learn,Found these two videos from PyCon 2014 on scikit-learn. A bit longish but really useful : [Link]:https://www.youtube.com/watch?v=HjAB45qsx_c (Intro Level) Git for the above video - https://github.com/jakevdp/sklearn_pycon2014 [Link]:https://www.youtube.com/watch?v=FOZvHx-43pg (Intermediate / Advanced Level) Git for the above video - https://github.com/ogrisel/parallel_ml_tutorial,11,bronze,2,Thu Jul 31 2014 17:08:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9910,None,None
/samanthahewamanage,RF Beginner Question,"I am trying out RandomForest as part of my learning process. I am using 'weight' in my training step. So, if I try to predict, I run into an error since the 'weight' is not available in test data. Is there a way to overcome this? I read the forum about not using 'weight' as a feature. I guess this what I am doing. Can someone clarify it for me how else I would use the 'weight'. Thanks much. Sam",0,None,5,Thu Jul 31 2014 22:45:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9911,/competitions/higgs-boson,1445th
/nathanhammes1,Model Upload and Required Documentation,"Hello all, Thanks for a great competition! Attached is documentation and associated code of the model used to produce the 3rd-place submission. My code is released under the GNU GPLv3, as provided in the zip folder. For any 3rd-party code, i.e. SVM-Light, please refer to the licenses included in the corresponding folders. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51447/1428/DecMeg2014 Model Documentation 3rd.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51447/1429/DecMeg2014ThirdPlaceCodeAndDoc.zip",12,gold,4,Fri Aug 01 2014 06:06:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9913,/competitions/decoding-the-human-brain,3rd
/namesj,Unable to verify account,Not sure if if i can post this issue here. I'm not getting the verification code on phone to verify the account. Do we have any other method to verify this ? like email ..,0,None,4,Fri Aug 01 2014 07:56:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9914,/competitions/higgs-boson,1504th
/jameskhoo,Prediction base on Passenger Sex +  Where they embarked will have ,"Hi James here, I am newbie, just finish ""Getting Started With Excel"", this is very fun project. Anywhere I done a bit research on Titanic, and found this http://www.historyonthenet.com/Titanic/titanic_timeline.htm Here's what is interesting - At 10th-Apr-1912, Passengers embarked at Southampton and Cherbourg At 11th-Apr-1912, The ship pick up more passengers at Queenstown, Iceland So, my arguments is Passengers from Southampton and Cherbourg will have time advantage then passengers from Queenstown, as they have more time to familiar with ship layout, escape route, and etc. Here's the new Pivot table (train.csv) base on this assumption Female Cherbourg -> Total 73, Survived, 64 Southampton -> Total 203, Survived 140 Queenstown-> Total 36, Survived 27 Love to hear your thots on this..",0,None,4,Fri Aug 01 2014 08:40:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9915,/competitions/titanic,None
/rafalcycon,Errors in data?,"Hey, I did a small exploration of Patient 4 and I noticed some really strange stuff. Right-click an image and select ""view image"" for a much better detail. Each blue line is a time series from an electrode. These plots look very suspicious, e.g. the lower left plot contains 6 straight lines and the rest are perfect sinusoids. They are not the only occurrences, there are about 10-20 such in the data of Patient 4, both in train and test sets. Is it intended? What about other patients? As a comparison, below are plots representing what I think correct time series are:",2,bronze,3,Fri Aug 01 2014 13:40:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9917,/competitions/seizure-detection,23rd
/kjellmoens,Converting the data files to European format,"Hi, Did someone encounter this problem ? I have to convert the csv files to use ; to separate the columns and . to , for the decimals points. This to be able to process the data in Excel and after generating the results, I have to do it again before uploading the result file to kaggle Kjell",0,None,1,Fri Aug 01 2014 13:51:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9918,/competitions/titanic,None
/reneny,How is a submission ranked?,I am wondering what algorithm is used to rank a submission? Is it just the ratio of right predictions to the sum of possible predictions or is it more complicated.,0,None,3,Fri Aug 01 2014 16:56:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9920,None,None
/artemmezhenin,Online Python environment for this competition,"Hi all. I want to share my snapshot of IPython notebook with you, which you can use to write your own solution for this competition. I uploaded training and test sets, as well as example solutions (SVM and RandomForest). This snapshot will be especially useful for newcomers, because all libraries are already installed for you. Also you can add more RAM and CPU to your instance ""on fly"", which I found very useful. Here is link: https://terminal.com/tiny/iw9oE1udKV . I'm going to create similar snapshots for other Kaggle competitions, so I would be glad to hear your feedback. P.S. make sure that your run at least 'mini' instance, otherwise you will run out of memory.",1,bronze,5,Fri Aug 01 2014 22:33:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9924,/competitions/digit-recognizer,None
/blendbland,Levels of Embarked wrong in Python?,"And with ""wrong"", I mean ""I don't understand"". If in R I read test.csv into a variable called data and do levels(data$Embarked) I get [1] ""C"" ""Q"" ""S"" But following the Python tutorial and modifying it to do: print len(np.unique(data[0::,11])) I get '4'. Shouldn't it be 3? There are 3 places of embarking, right?",0,None,3,Sat Aug 02 2014 01:57:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9925,/competitions/titanic,None
/vbs0711,"tab in attrs field, data format error?","Hi,all,I found some data has tab in attrs, which makes parse data file error.such as:10174243 Недвижимость Комнаты Комната 18 м² в 2-к, 1/5 эт. комната в общежитии, блок на 2 комнаты, новая дверь, в блоке душ, туалет в плитке, хорошие соседи, док-ты готовы, полностью мебелирована, можно с бытовой техникой ^p Больше предложений на сайте @@URL@@ ""{""""Тип объявления"""":""""Продам"""", """"Комнат в квартире"""":""""2"""", """"Этаж"""":""""1"""", """"Этаж"""":""""Не последний"""", """"Этажей в доме"""":""""5"""", """"Этажей в доме"""":""""5-8"""", """"Тип дома"""":""""Кирпичный"""", """"Площадь комнаты"""":""""18"""", """"Адрес"""":""""9-го января 3""""}"" 1250000 0 0 0 1 0.06 Please help with this. Thank you.",0,None,1,Sat Aug 02 2014 08:13:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9926,/competitions/avito-prohibited-content,265th
/sfin2015,Memory usage (in R) for glm vs speedglm,"Hi, I am using R to fit logistic regression. In my test I have one day of training data (about 6,1 million records). And my data set has only id, label and 13 id (numeric) variables. Size of this data in R (3.0.1 64-bit) in memory is around 1,3 gigabytes. When I am running R's standard glm I am getting peak memory usage of 14 gigabytes. However when using optimized package speedglm the memory usage is only 6,6 gigabytes. I guess glm training should scale with O(p^2) for memory requirements where p is number of regression predictors. So few questions:1) Does anyone know even more memory optimized glm package than speedglm for R? (asking this as I typically play a game and let R run in background and want to minimize resources it is using)? 2) How much (less) memory other more memory optimized implementations (Python machine learning kits) are using for something similar?",0,None,3,Sat Aug 02 2014 10:04:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9927,/competitions/criteo-display-ad-challenge,492nd
/apurvadubey,"R starter kit, using GBM","Guys, Attached is my 'R' code. This will get you 0.75354 LB I have used Stochastic Gradient Boosting. Looking for ideas to improve the score further. Best [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51517/1431/R_Starter_Kit_using_GBM.R",5,bronze,10,Sat Aug 02 2014 12:19:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9928,/competitions/forest-cover-type-prediction,332nd
/kevinmcinerney0,Statistical Question about Interactions & Machine Learning,"I'm new to machine learning and I though this extract from the Titanic 'Getting strarted in Python' was very cool. ""One artificial feature could incorporate whatever predictive power might be available from both Age and Pclass by multiplying them. This amplifies 3rd class (3 is a higher multiplier) at the same time it amplifies older ages. Both of these were less likely to survive, so in theory this could be useful."" I am wondering if this is a way of exposing an interaction effect to a machine learning algorithm?",0,None,2,Sat Aug 02 2014 15:46:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9929,/competitions/titanic,None
/santiagomota,Confirm submission by SMS,Did anybody need to send a phone number to confirm a submission? I did never need it besore. Santiago Mota,0,None,2,Sat Aug 02 2014 18:08:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9930,/competitions/liberty-mutual-fire-peril,103rd
/tonymac,Python Random Forest Output,I am using Random Forest in Python and would like to Output like the attached image. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51532/1434/Screen Shot 2014-08-02 at 20.56.33.png,0,None,2,Sat Aug 02 2014 21:59:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9932,None,None
/kevinmcinerney0,RMSLE score of 1.68537: How to interpret ??,"How should I interpret a 'root mean squared log error' (rmsle) score? I'm used to scores which reflect the percentage of variance explained such as the adjusted r squared, so the rmsle doesn't really mean anything to me. My first attempt at the bike sharing competition gave me pretty position on the leader-board with a rmsle score of 1.68537 and I am very curious what this score really means in terms of variance explained or something else I might be able to visualize. Thanks",6,None,3,Sun Aug 03 2014 02:03:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9933,None,None
/zhaoqingwang,Feature problem,"Hi Guys, I want to ask one question about features. Are the features in the dataset from Ad or from the person who click the ad or the website information? Thank you",0,None,2,Sun Aug 03 2014 07:16:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9934,/competitions/criteo-display-ad-challenge,None
/vaibhavbhat,Solution for closed competition,"Hello, For the completed competitions, can I see solutions for those? If yes, can you guide where I can find it? Thanks",0,None,1,Sun Aug 03 2014 18:15:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9937,None,None
/kevinmcinerney0,R: How predict new counts in R?,"I've already made a submission with Python and I wanted to have a go with R. However, I'm having two issues: 1.) as you can see from the picture attached my linear regression seems to be predicting minus values for my count! 2.) Also, it's giving me a range of scores rather than a single value as my prediction. Can anybody guide me as to where I am going wrong on both counts? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51558/1435/img.JPG",1,None,9,Sun Aug 03 2014 19:18:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9938,/competitions/bike-sharing-demand,1164th
/benrayfield0,"Is the data available in an open data format, not matlab?","I do not have matlab nor do I want to involve myself in their approval and trial process when I have no intention of using matlab for anything more than to copy the data into a usable format, such as an audio file of n channels for the electrodes, a csv of numbers, a database format, xml, or many other possible open formats for arrays of numbers.",0,None,16,Sun Aug 03 2014 23:28:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9940,/competitions/seizure-detection,None
/kevinmcinerney0,"My approach: A Better way to Benchmark, PLEASE??","I split my training data into training data (80%) and test data (20%) so that I could validate my random forest approach without using up all of my precious daily Kaggle submissions. I then performed a pearson r correlation between my predicted counts and the actual counts taken from fake test_data I sliced out of the training data. However, when I added a bunch of features, although it did vastly improve my pearson co-efficient, it also drastically reduced my score on the leaderboard. So it's not a reliable measure. Back to the drawing board. Are there better ways of doing this? I currently have no way to benchmark my algorithms apart from submitting them which sucks.",0,None,6,Mon Aug 04 2014 02:56:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9941,/competitions/bike-sharing-demand,1164th
/bgeier,Patient 4 - latency prediction,,0,None,1,Mon Aug 04 2014 03:17:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9942,/competitions/seizure-detection,114th
/rkirana,not able to submit,"Tried making submission but it asks to verify account. I am in India and here we all keep our mobiles in ""Do Not call"" (DNC) registry - because there are a large number of unsolicited calls we receive daily - almost all mobiles will be on DNC. Rather than remove my primary # from DNC, I removed my secondary # from DNC - still I don't get the message Looks like the service providers have some limitations on the messages that they can send daily. https://www.twilio.com/help/faq/sms/are-there-limitations-on-sending-sms-messages-to-indian-mobile-devices Request organizers to allow us to submit while the verification happens.",0,None,3,Mon Aug 04 2014 08:55:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9943,/competitions/criteo-display-ad-challenge,10th
/aguschin,Soil Type additional infromation,"On the data page we have additional information about Soil Types: 1 Cathedral family - Rock outcrop complex, extremely stony.2 Vanet - Ratake families complex, very stony.3 Haploborolis - Rock outcrop complex, rubbly.4 Ratake family - Rock outcrop complex, rubbly.5 Vanet family - Rock outcrop complex complex, rubbly.6 Vanet - Wetmore families - Rock outcrop complex, stony.7 Gothic family.8 Supervisor - Limber families complex.9 Troutville family, very stony.10 Bullwark - Catamount families - Rock outcrop complex, rubbly.11 Bullwark - Catamount families - Rock land complex, rubbly.12 Legault family - Rock land complex, stony.13 Catamount family - Rock land - Bullwark family complex, rubbly.14 Pachic Argiborolis - Aquolis complex.15 unspecified in the USFS Soil and ELU Survey.16 Cryaquolis - Cryoborolis complex.17 Gateview family - Cryaquolis complex.18 Rogert family, very stony.19 Typic Cryaquolis - Borohemists complex.20 Typic Cryaquepts - Typic Cryaquolls complex.21 Typic Cryaquolls - Leighcan family, till substratum complex.22 Leighcan family, till substratum, extremely bouldery.23 Leighcan family, till substratum - Typic Cryaquolls complex.24 Leighcan family, extremely stony.25 Leighcan family, warm, extremely stony.26 Granile - Catamount families complex, very stony.27 Leighcan family, warm - Rock outcrop complex, extremely stony.28 Leighcan family - Rock outcrop complex, extremely stony.29 Como - Legault families complex, extremely stony.30 Como family - Rock land - Legault family complex, extremely stony.31 Leighcan - Catamount families complex, extremely stony.32 Catamount family - Rock outcrop - Leighcan family complex, extremely stony.33 Leighcan - Catamount families - Rock outcrop complex, extremely stony.34 Cryorthents - Rock land complex, extremely stony.35 Cryumbrepts - Rock outcrop - Cryaquepts complex.36 Bross family - Rock land - Cryumbrepts complex, extremely stony.37 Rock outcrop - Cryumbrepts - Cryorthents complex, extremely stony.38 Leighcan - Moran families - Cryaquolls complex, extremely stony.39 Moran family - Cryorthents - Leighcan family complex, extremely stony.40 Moran family - Cryorthents - Rock land complex, extremely stony. I have tried to find most frequent collocations and create new features based on them, like ""extremely stony"" or ""Leighcan"" feature. I created 10 more features: Catamount, Cryorthents, Moran, Rock_land, Rock_land_complex, Rock_outcrop, Rock_outcrop_complex, rubbly, Vanet, very_stony. The problem is, these new features are useless. Here is graph produced by R command varImpPlot(x) for randomForest package. It can be seen, that all these new features are significantly less important than the old ones. Had anyone achieved better results using this additional information? P.S. What does ""Rock land complex"" mean? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51599/1436/Rplot.png",6,bronze,2,Mon Aug 04 2014 16:39:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9944,/competitions/forest-cover-type-prediction,53rd
/sdenton4,Community Detection in Graphs Survey Paper,"Here's Forunato's excellent survey paper on community detection in graphs: http://arxiv.org/abs/0906.0612 It covers a good-sized pile of common methods for graph partitioning, which should be relevant here. Of course, for us, we have some additional data on our individual nodes, and the fun of this competition is in mixing these sorts of purely graph theoretic algorithms with learning from our actual feature sets.",7,bronze,2,Mon Aug 04 2014 18:29:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9945,/competitions/learning-social-circles,1st
/muditfool,use this dataset for an academic publication,"hi guys, can i use this dataset for use in an publication/academic purposes. i do not intend to enter the competition thanks",0,None,6,Mon Aug 04 2014 19:56:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9946,/competitions/criteo-display-ad-challenge,None
/dimag1991,DER_ and PRI_ features,"Hi! Can someone give me some little hints on how taking into account the derived features can improve an accuracy of my classifier? As I know, this kind of ""dependent"" features might even degrade performance of the algorithm in terms of prediction power. Is I right with this statement or may be I don't understand something well?",0,None,8,Tue Aug 05 2014 03:00:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9950,/competitions/higgs-boson,1375th
/leninworld,kind request for data,kindly requesting data..,0,None,1,Tue Aug 05 2014 05:53:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9951,/competitions/avito-prohibited-content,None
/chenglongchen,Can't read after 1562936th row in training data,"wc -l avito_trian.tsv indicates that there are ~4m training points. However, my code which is based on the provided python code seems fail to read training data after 1562936th row. Here it is: with open(tsv_file) as tsvReader: itemReader = DictReader(tsvReader, delimiter='\t', quotechar = '""') for i, item in enumerate(itemReader): item_dict = {featureName:featureValue.decode('utf-8') \ for featureName,featureValue in item.iteritems() \ if featureValue is not None} In specific, for the 1562936th row, some keys, e.g., is_blocked and prices is even missing in item_dict. Does anyone know what goes wrong?",2,bronze,17,Tue Aug 05 2014 17:26:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9953,/competitions/avito-prohibited-content,4th
/vanessa6,Levels for var 4,"Hi, I want to know exactly what represents the number following the letter in variable 4. Does It represent like a sublevel within the letter?. And those sublevels keep the same hierarchical structure than the higher levels? I mean, for example for letter D, the order would be D1, D2, D3, D4?",0,None,4,Tue Aug 05 2014 17:52:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9954,/competitions/liberty-mutual-fire-peril,None
/developerx,Higgs Boson Documentary,"There is a documentary about the search for the Higgs Boson at CERN available on the major U.S. streaming services called ""Particle Fever."" It's geared toward the non-physicist and explains some concepts that appear in the documentation for this contest such as the ""Standard Model"" and the importance of Higgs Boson mass. I'd say it really helped me out. Here's a link to the official trailer: https://www.youtube.com/watch?v=Rikc7foqvRI (I'm not sure about non-U.S. availability)",0,None,1,Tue Aug 05 2014 20:50:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9961,/competitions/higgs-boson,56th
/paulchung,I'm new to Julia- please help me get started with the code,"Hi kaggle community, I've completed the setup for using Julia on my Mac and added all the necessary packages as written in the ""Julia Tutorial"" portion. I'm having trouble wrapping my head around where to input the following code: img = imread(nameFile)temp = float32sc(img)if ndims(temp) == 3 temp = mean(temp.data, 1)end Do I write this code into IJulia or Julia Studio? Also do we put each "".bmp"" file into the input (nameFile)? Thanks in advance!",0,None,6,Wed Aug 06 2014 18:45:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9965,/competitions/street-view-getting-started-with-julia,None
/artemmezhenin,Online Python environment for this competition,"Hi all. For this competition I prepared snapshot of IPython notebook, which you can use to write your own solutions. I uploaded training and test sets, as well as example solutions. This snapshot will be especially useful for newcomers, because all libraries are already installed for you. Also you can add more RAM and CPU to your instance ""on fly"", which I found very useful. Here is link: https://terminal.com/tiny/70tqULHQQ4 . I would be glad to hear your feedback. Thank you.",0,None,2,Wed Aug 06 2014 21:15:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9968,/competitions/titanic,None
/timkreienkamp,Image reading does not work,"I keep getting this error: ""Is ImageMagick installed properly? See README"" does anybody know how to fix this?",0,None,13,Wed Aug 06 2014 22:21:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9969,/competitions/street-view-getting-started-with-julia,None
/shashanksharma2,not able to open 3.5gb - by winrar,could any one tell me how to open the 3.5 gb of data .. when ever i open it .. winrar gives an error the file is missing ?? plz help me ..urgent,0,None,4,Thu Aug 07 2014 08:03:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9970,/competitions/criteo-display-ad-challenge,None
/scamps5,Competition Advise,"Hi everyone! I am new to data science, however I have a little programming experience. I'm also working on learning R and Python. I took a look at some of the active competitions and I was wondering what would be a good starting point. Ideally, I'd like to tackle the easiest competition first and then work myself up by order of difficulty. Does anyone have any advise on what would be the best competition to start with? Thanks",0,None,2,Thu Aug 07 2014 11:39:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9971,None,None
/coffeelover,Which competitions count?,"I am still a little confused regarding which competitions count towards rankings. The competitions seem to be binned into ""getting started,"" ""playground,"" ""research,"" and ""featured."" Do the ""playground"" competitions count, e.g., bike demand sharing and rotten tomatoes?",1,None,6,Thu Aug 07 2014 13:09:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9972,None,None
/suvrathiran,Logistic regression,What are the best scores have you get with only logistic regression (includes feature engineering)? Best I could get was 0.46459 on LB and was 0.45410 on my own validation set. I want to re-energies myself to churn out everything from LR.,0,None,3,Thu Aug 07 2014 16:13:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9973,/competitions/criteo-display-ad-challenge,85th
/nadasdy,Is the data continuous?,"Is the data continuous or I'm reading them wrong? For instance, there is a clear offsets between the amplitude of the last data point of Patient_4_ictal_segment_1.mat and the first data point of Patient_4_ictal_segment_2.mat in corresponding channels.",0,None,1,Thu Aug 07 2014 19:53:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9974,/competitions/seizure-detection,None
/suriya,How do I actually Start the problem?,"Hi guys, I am trying to get solution for this problem in python. the scikit module is just awesome. But where do I begin. I have the training set with me, and the hash codes how do i resolve them? one of my friends told me you can actually remove the hash (c1-c26) columns as part of feature reduction. Is it true? how are you guys going about the problem?",0,None,2,Fri Aug 08 2014 07:37:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9976,/competitions/criteo-display-ad-challenge,None
/esensagynov,How to convert the RGM numbers into an actual image,"Hi, Does anybody know how to convert a sequence of these RGB numbers which we can find in the train.csv file into an actual 28 by 28 image? Thanks in advance. P.S. Anybody know how to fix the title of a topic in this forum?",0,None,4,Fri Aug 08 2014 08:30:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9977,/competitions/digit-recognizer,None
/rajeev16,Issue with predict function,"Sorry guys, i am bit new to Machine learning.. hence i guess a very silly question.. I created rf model as below : rf <- randomForest(train,train$target, do.trace=TRUE,importance=TRUE, sampsize = 10000, ntree = 200) But when i am going to predict the value using predict as below: predictions <- predict(rf, test, type=""response"") Then it is giving an error saying the variables in the training data missing in newdata. However, if include a column of target in test data (which is the only field missing vis-a-vis the train data), the above commands works!!. Please can you help with this ? Is there any option that needs to be included in the prediction function ?",0,None,2,Fri Aug 08 2014 10:41:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9979,/competitions/liberty-mutual-fire-peril,456th
/surbhig,submission format,"I have a confusion that actually what we need to submit: the probability (0.0 to 1.0) of test sample being seizure and early detection or classification (1 for seizure, 1 for early detection and 0 for both non-seizure and late detection)?? Please clarify asap",0,None,5,Fri Aug 08 2014 12:29:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9980,/competitions/seizure-detection,123rd
/abhimanipal,Test File - Each Submission produces the same score,"Hi Guys, My name is Abhi. I am fairly new to kraggle/data science. I am trying to teach myself using some of the practice problems available on the internet. I have spent a few days on this problem & I have come across an interesting observation. I created 3 models today Model 1: Survived~Age On the test data, the AUC score is about 0.5,the classification rate is about 61%. When I upload it to Kraggle, I get a score of 0.7703 Model 2: Survived~Sex On the test data, the AUC score is about 0.76, the classification rate is about 78%. When I upload it the Kraggle, I get a score of 0.7703 Model 3: Survived~Sex+Age+Pclass On the test data, the AUC score is about 0.77, the classification rate is about 79%. When I upload it the Kraggle, I get a score of 0.7703 Why do all of the models have the same exact score. Did anybody face this issue before this? I am using R and RStudio as my development environment",0,None,3,Fri Aug 08 2014 17:27:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9983,/competitions/titanic,None
/joycenv,Data Release After Competition Ends,"Hi Everyone, We are currently working with Criteo on the plan for data set release following the end of the competition. Please check back here for an update on the terms of the release. We will post the procedure soon after the competition ends.",8,bronze,22,Fri Aug 08 2014 19:49:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9985,/competitions/criteo-display-ad-challenge,None
/weiguangguan,More information about test dat?,"I wonder if some information about the test data can be made open to all participants, such as average weights of signal and background events respectively and the rough ratio of number of signal events vs that of background event. Can we assume test data are similar to training data in terms of the ratio and average weights? Weiguang",0,None,1,Sat Aug 09 2014 01:31:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9986,/competitions/higgs-boson,890th
/vishaljavakhedkar,Scatter plot,"Does any one know, if SAS can built scatter plot for only one variable and create one axis automatically like excel does.",0,None,2,Sat Aug 09 2014 10:36:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9989,/competitions/liberty-mutual-fire-peril,None
/somankarb,Verification code while submission,"Dear Admin, Please remove the verification code option or change it. This would not work as it requires me to remove my number from DnD and I am not going to do that. Till then I am not able to make any submissions. Regards",0,None,1,Sat Aug 09 2014 18:31:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9991,/competitions/liberty-mutual-fire-peril,631st
/lalitapatel,Public datasets to play with,The following webpages list some public datasets worth playing with. http://archive.ics.uci.edu/ml/ http://www.inf.ed.ac.uk/teaching/courses/dme/html/datasets0405.html https://certificates.theodi.org/datasets http://www.r-bloggers.com/datasets-to-practice-your-data-mining/ http://www.kdnuggets.com/datasets/index.html,3,bronze,4,Sat Aug 09 2014 18:44:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9992,None,None
/roycoding,Match 5 Kaggle Benchmarks in 5 Days,"Match 5 Kaggle Benchmarks in 5 Days I'm planning a ""Match 5 Kaggle Benchmarks in 5 Days"" challenge starting Monday, 11 Aug. This challenge is just for fun. It's aimed at people just getting started and people who just want to practice. Some Kaggle benchmarks are trivial, while some require more effort, but they are all a first step. You may spend 5 minutes or several hours depending on the benchmark. How it works: Choose any 5 Kaggle competitions. Each day try to match the benchmark. Post progress and questions to this thread (or the competition thread). I plan to follow this challenge up the week of 18 Aug. with a ""Beat 5 Kaggle Benchmarks in 5 Days"" challenge. Good Luck!",2,bronze,17,Sat Aug 09 2014 21:05:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9993,None,None
/artemmezhenin,Online Python environment for this competition,"Hi all. For this competition I prepared snapshot of IPython notebook, which you can use to write your own solutions. I uploaded training and test sets, as well as example solutions. This snapshot will be especially useful for newcomers, because all libraries are already installed for you. Also you can add more RAM and CPU to your instance ""on fly"", which I found very useful. Here is link: https://terminal.com/tiny/O5C9xEUqGc . I would be glad to hear your feedback. Thank you.",3,bronze,4,Sun Aug 10 2014 10:27:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9995,/competitions/higgs-boson,1612th
/mudit1712,target variable not found in train dataset,"hi, why do i not see target variable in train dataset regards Mudit",0,None,11,Sun Aug 10 2014 13:24:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9996,/competitions/liberty-mutual-fire-peril,None
/aymeric0,Unknown colormodel (RGB) and alphacode (5) found by OSX,"Hello all, I'm trying to run Julia on MAC OSX and I'm actually facing to one issue due to BMP decoder. The error message is bellow WARNING: Unknown colormodel (RGB) and alphacode (5) found by OSX readerLoadError(""/Users/Aymeric/Documents/Kaggle/Julia Challenge/data/source-code-files/rf_julia_benchmark.jl"",48,ErrorException(""NoDecodeDelegateForThisImageFormat `BMP' @ error/constitute.c/ReadImage/501"")) Does anyone as a clue to help me to fix this problem ? Regards, Aymeric",0,None,2,Sun Aug 10 2014 14:59:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9997,/competitions/street-view-getting-started-with-julia,None
/hajamaideen,Rank Order,What is rank order in submission file.,0,None,1,Sun Aug 10 2014 16:20:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/9998,/competitions/higgs-boson,227th
/jack81262,Fundamental Issue with Training Data?,"I have (I believe) successfully downloaded the training data file. When I unzip it, I am left with a file named train.csv. My preliminary analysis (hand coded java) indicates the file has 45,840,617 data records, plus the header. Each record has 41 fields The first ID is 10000000. The last ID is 55840616. So far, so good. The Fields named Label, I2, C1, C2, C5, C7, C8, C9, C10, C11, C13, C14, C15, C17, C18, and C23 are all complete (i.e., no missing values). All the other fields have significant quantities of missing values. Not ideal, but manageable. However, and very disconcerting, the Label field in EVERY record, is 0. Either my Java code has a bug (possible, but I don't believe so), or the training dataset is not valid - there are no examples which represent a user clicking through (my understanding of the data description is that a 1 in the Label field indicates a click-through). Has anyone else looked at every record in the dataset? While I noticed some statistics posted from some time ago, my analysis does not at all confirm those statistics. Perhaps the competition organizers could comment?",0,None,2,Mon Aug 11 2014 02:40:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10000,/competitions/criteo-display-ad-challenge,None
/chenglongchen,Giulio! You have two of you on the LB :),Just notice it :),0,None,7,Mon Aug 11 2014 03:41:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10001,/competitions/higgs-boson,160th
/weiguangguan,What's the value of n in AMS?,"I thought n=550000 (i.e., the number of events in test data) in the calculation of AMS score. If it was the case, then it would be very easy to get a score above 3.9. I suspect the evaluation script running on the kaggle server uses n=250000 (or a value way less than 550000) in the AMS score calculation. If n is indeed 550000, then test data must be quite different from training data in terms of distribution of the two types of events and their average weights. Can the organizer clarify it? Thanks. Weiguang",0,None,2,Mon Aug 11 2014 04:59:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10002,/competitions/higgs-boson,890th
/mlwhiz,How to Use One Hot Encoder In Python For Such Large Data,I am new to python and am trying to use a SGD Classifier to go through this data set chunk by chunk. What i cannot get though is how to do one hot encoding for categorical variables for such large data set. I tried writing a custom script but it is too slow. Could anyone Please help.,0,None,4,Mon Aug 11 2014 12:39:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10003,/competitions/criteo-display-ad-challenge,334th
/varatare,Suggestion: What field will you advise to use for exploratory data analysis?,"Hi I am new to this data science and I believe I could be asking a very stupid question. I am using R to analysis the data but I don't know where to start. I am trying to perform some exploratory data analysis on the data. But when I looking at the data, the relationship between the all the fields against 'requester_received_pizza' field seem to be pretty weak. If I need to plot a graph X against Y, I know that I cannot use 'requester_received_pizza' as Y since it is only True or False value, then what shall I use for Y?",0,None,11,Mon Aug 11 2014 13:13:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10004,/competitions/random-acts-of-pizza,403rd
/priyamtejaswin,Why two datasets ??,"The question might strike as stupid to some people but anyways.. I tried finding the solution by matrix factorization. Since my target matrix(the matrix I want to factorize) is the ""testset"" and our objective is to find the missing values in the ""testset""(value==99 or 55), why do we have a ""trainset"" ?? Any thoughts would be helpful Thanks Priyam",0,None,1,Mon Aug 11 2014 18:12:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10008,/competitions/uci77B,35th
/abhijat,Anyone using ANN ?,"All, I am using a NN with 2 hidden layers. I get lb score of ~ 2.87. I am a newbie. Any suggestions how I can increase my score? Thanks, Abhijat.",0,None,7,Mon Aug 11 2014 23:51:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10010,/competitions/higgs-boson,1126th
/frederikve,Compression Ratio Benchmark,"On the leaderboard, there is an entry stating ""Compression Ratio Benchmark"". I don't see what purpose this entry has, does anyone know what can be learnt from this? Kind regards",0,None,3,Tue Aug 12 2014 00:40:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10012,/competitions/seizure-detection,145th
/lalitapatel,Important discoveries based purely on Data Analytics,"(1) Treatment for smallpox Noting the common observation that milkmaids were generally immune to smallpox, Jenner postulated that the pus in the blisters that milkmaids received from cowpox (a disease similar to smallpox, but much less virulent) protected them from smallpox. [http://en.wikipedia.org/wiki/Edward_Jenner]",1,bronze,1,Tue Aug 12 2014 03:25:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10013,None,None
/harnalashok,Writing a research paper--Privately sharing code or data outside of teams is not permitted,"Almost all competitions on Kaggle have the following rule: ""Privately sharing code or data outside of teams is not permitted."" Unless there are other Competition Specific rules (for example defining DATA etc), does this rule alone prohibit analysing data and writing a Research Publication even after the competition has finished.",1,bronze,3,Tue Aug 12 2014 08:02:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10015,None,None
/vijay2110,questions on missing values and positive examples,"Hi, I am still struggling to understand problem. Please check if anyone can help me answering my 2 questions below. #1: Very very less number of training positive examples (1188 out of 452061) are given. So we are supposed to compute target ratio based on these 1188 examples only? #2: Lots of values are missing, based on their missing counts it appears that there can be some way to guess their actual values (instead of replacing them with mean values). So here negative training examples (452061-1188 ) are going to help in guessing missing values. That's the only role of negative training examples here?",0,None,3,Tue Aug 12 2014 08:45:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10016,/competitions/liberty-mutual-fire-peril,440th
/arnaud4,problem with my submission,"Hi guys, My submission is rejected due to an incorrect number of lines (66292 expected). Yet when I count the lines (e.g. with ""wc -l"") I exactly have 66292 lines. Any idea? Cheers",0,None,2,Tue Aug 12 2014 17:50:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10017,/competitions/sentiment-analysis-on-movie-reviews,860th
/liangquanzhou,How to get some private kaggle in-class competitions data?,"I saw two in-class competitions which I really interested in, but both of them are private-entry competition. I cannot download the data. Anyone knows how to get the data?",0,None,1,Tue Aug 12 2014 21:00:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10020,None,None
/muthujothi,Energetic Kaggle hackathons,"It had been really a while since we had our power packed hackathons. If I did not miss one, then the last was the See Click PredictX. Do we have any coming up for 2014? Personally i love those 1-day immersions on complete problems.",8,silver,2,Wed Aug 13 2014 03:35:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10022,None,None
/markdrummond,"Warnings on ""using DataFrames""","Just getting started so I don't know if this will affect me or not, but when I try ""using DataFrames"" from the REPL I get a pile of warnings (output snipped): julia> using DataFramesWarning: New definition +(AbstractArray{Bool,N},DataArray{Bool,N}) at /home/citmkd/.julia/v0.3/DataArrays/src/operators.jl:326is ambiguous with: +(AbstractImageDirect{T,N},AbstractArray{T,N}) at /home/citmkd/.julia/v0.3/Images/src/algorithms.jl:14.To fix, define +(AbstractImageDirect{Bool,N},DataArray{Bool,N})before the new definition.Warning: New definition +(AbstractArray{T,N},DataArray{T,N}) at /home/citmkd/.julia/v0.3/DataArrays/src/operators.jl:326is ambiguous with: +(AbstractImageDirect{T,N},AbstractArray{T,N}) at /home/citmkd/.julia/v0.3/Images/src/algorithms.jl:14.To fix, define +(AbstractImageDirect{T,N},DataArray{T,N})before the new definition.Warning: New definition +(AbstractArray{Bool,N},AbstractDataArray{Bool,N}) at /home/citmkd/.julia/v0.3/DataArrays/src/operators.jl:350is ambiguous with: +(AbstractImageDirect{T,N},AbstractArray{T,N}) at /home/citmkd/.julia/v0.3/Images/src/algorithms.jl:14.To fix, define +(AbstractImageDirect{Bool,N},AbstractDataArray{Bool,N})before the new definition. ...[SNIP]... Warning: New definition .<(AbstractArray{Bool,N},Union(DataArray{Bool,N},PooledDataArray{Bool,R<:Integer,N})) at /home/citmkd/.julia/v0.3/DataArrays/src/broadcast.jl:317is ambiguous with: .<(AbstractImageDirect{Bool,N},AbstractArray{Bool,N}) at /home/citmkd/.julia/v0.3/Images/src/algorithms.jl:133.To fix, define .<(AbstractImageDirect{Bool,N},Union(DataArray{Bool,N},PooledDataArray{Bool,R<:Integer,N}))before the new definition.Warning: New definition .<(AbstractArray{T,N},Union(PooledDataArray{T,R<:Integer,N},DataArray{T,N})) at /home/citmkd/.julia/v0.3/DataArrays/src/broadcast.jl:272is ambiguous with: .<(AbstractImageDirect{Bool,N},AbstractArray{Bool,N}) at /home/citmkd/.julia/v0.3/Images/src/algorithms.jl:133.To fix, define .<(AbstractImageDirect{Bool,N},Union(DataArray{Bool,N},PooledDataArray{Bool,R<:Integer,N}))before the new definition.Warning: New definition .<(AbstractArray{T,N},Union(PooledDataArray{T,R<:Integer,N},DataArray{T,N})) at /home/citmkd/.julia/v0.3/DataArrays/src/broadcast.jl:272is ambiguous with: .<(AbstractImageDirect{T,N},AbstractArray{T,N}) at /home/citmkd/.julia/v0.3/Images/src/algorithms.jl:134.To fix, define .<(AbstractImageDirect{T,N},Union(PooledDataArray{T,R<:Integer,N},DataArray{T,N}))before the new definition.",8,bronze,12,Wed Aug 13 2014 03:45:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10023,/competitions/street-view-getting-started-with-julia,None
/k3lv1n,Why not Python?,I'm new to R but have some experience in Python (new to the scify library toolset). Was wondering has anybody done this in Python using random forest generator? If not is there a reason why you would choose R over python? Thanks.,0,None,4,Wed Aug 13 2014 05:29:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10024,/competitions/bike-sharing-demand,3006th
/pradeepkumar11,Unable to download 'Acquire Valued Shoppers Challenge' data,"I have tried five times to download the dataset required for 'Acquire Valued Shoppers Challenge' data. Every time, after downloading some amount of data, I get the error 'Unknown network error'. It is very frusturating to know that, after downloading 1 GB of data, I have to start it all over again. Is there any other way of downloading this data. I have already eaten up precious data bandwidth after trying five times, with no success. Please help.",0,None,1,Wed Aug 13 2014 14:16:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10025,None,None
/twineball,Leaks allowed?,"Admins, Will solutions that utilize leaks be allowed or disqualified?",0,None,20,Wed Aug 13 2014 15:32:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10026,/competitions/liberty-mutual-fire-peril,None
/alwaysr9,how to deal with categorical features ?,"For 26 categorical features, i find there are hundreds of thousand different values exist totally after removing low frequent values. i think it means there are hundreds of thousand binary features for just one sample according to one-hot-encoding method. Could some one tell me whether my understanding is true or not ; if true, is there a way to reduce the number of binary feature?",0,None,3,Wed Aug 13 2014 16:44:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10028,/competitions/criteo-display-ad-challenge,439th
/edouard1,Exploiting social graphs,"Hello Deloitte kagglers ! Our team (DNA Paris) would like to share with you a quick study we have done and that can be interesting to our Challenge. It is a bit blurry for now, and we would love to get your feedback on it / or new ideas… We have noticed that some variables in the database such as similar cabins, ticket numbers, family name are not fully integrated in the models and do not express their full explanatory potential. They however seem strongly relevant to predict passengers fate since they may express a connexion between groups of passengers (via interactions and locations in the Titanic). The issue with these variables comes from the important number of levels, and the presence of missing values... We therefore got the idea of using another way to exploit them by summing them up into another indicator: Starting from variables containing insights on interactions and passenger location in the boat (class, ticket number, cabin number, deck, names …), we have calculated a similarity index (Jaccard similarity) to further visualize the interactions through a force-field algorithm (using the open-source software Gephi, available at https://gephi.github.io/). We then looked at the correlation between our similarity indicator and passengers fate patterns in our so-called “fate-social graph” (or ""medusa"") shown in the attached document (the green dots are survivors of the train dataset, blue dots represents perishers of the train dataset and grey ones are the observations of the test dataset). The link between similarity among passengers and fate on the Titanic looks pretty clear and let us think to also incorporate predictive K-NN algorithm in our current model for this Challenge (cascading GLM with a combination of CRF and SVM)… Used correctly, this additional information enabled us to improve significantly our performance on the leaderboard: starting from the 13th we ended up to the 8th position. Have you guys tried something similar? Do you have suggestions on how to extract more value from graphs structures? Thanks ! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/51967/1457/Graph_Titanic.PNG",0,None,2,Wed Aug 13 2014 17:36:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10029,/competitions/deloitte-tackles-titanic,7th
/hugovieira,"Field ""post_was_edited""","Hello, According to field description on the competition page, the field ""post_was_edited"" contains a boolean stating if the user edited the post or not. However I find float values in some records on this field on training set. For instance: { ""giver_username_if_known"": ""iamseth"", ""number_of_downvotes_of_request_at_retrieval"": 3, ""number_of_upvotes_of_request_at_retrieval"": 7, ""post_was_edited"": 1370925485.0, ""request_id"": ""t3_1g2xtg"", ""request_number_of_comments_at_retrieval"": 6, ""request_text"": ""EDIT: User IamSeth saved the day!!! Thank you so much! http://www.reddit.com/r/Random_Acts_Of_Pizza/comments/1g3me0/thanks_iamseth_your_generosity_fills_our_hearts/\n\nIt's been a difficult (...) } Can anyone tell me what does the float stand for? Best regards",0,None,1,Thu Aug 14 2014 15:55:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10040,/competitions/random-acts-of-pizza,175th
/gajarmin,Cross Validation Score not Representative of Submission Score,"I'm using the sklearn function cross_val_score to locally test my models. It consistently gives me a score between 80 and 83, however my submission score is always around 76. Is this because half of the submission is private? Would it really make that much of a difference? Is there a better way to get an accurate measurement of how good my model is?",2,None,4,Thu Aug 14 2014 20:00:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10042,/competitions/titanic,None
/boltzmannbrain,Data Formats,"Hello, I have a few questions about the data formatting: i. Are there headers and columns in the training and test sets? ii. For the training set we're expected to remove one word (randomly) from each sentence, correct? iii. How should the submission file be formatted? Can you provide an example? Thank you, Alex",0,None,3,Thu Aug 14 2014 23:01:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10043,/competitions/billion-word-imputation,None
/jianminsun,split data yields better LB score than non split data ,"Due to the large size of train.csv, I split it to multiple files and train them with LR. The LB score is ~0.468. Then I got a chance to access a computer with large RAM. I was able to load total train data in a single file. After applied LR with same parameters, the LB score becomes much worse, ~0.483. Anyone has an explanation for this?",0,None,8,Fri Aug 15 2014 04:36:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10044,/competitions/criteo-display-ad-challenge,59th
/abhimanipal,Random Forest - How to handle overfitting,Hi Guys my name is Abhi. I have a computer science background but am trying to teach myself data science by solving problems on kraggle. I have been working on this problem for the last couple of weeks. I was initially using logistic regression but now I have switched to random forests. When I run my random forest model on my training data I get really high values for auc (> 99%). However when I run the same model on the test data the results are not so good (Accuracy of approx 77%). This leads me to believe that I am over fitting the test data. What are the best practices reggarding preventing overfitting in random forests? Thank you any help is always appreciated,0,None,4,Fri Aug 15 2014 06:37:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10045,/competitions/titanic,None
/rm9831,Issue with numpy,"Hi there,Even though I downloaded Anaconda, numpy, Scipy,pandas, python-dateutil,pytz, when I run my python file with import numpy as np, I get Traceback (most recent call last): File ""<stdin>"", line 1, in <module>ImportError: No module named numpy I am not sure how to debug this. ThankMR",0,None,2,Fri Aug 15 2014 18:02:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10050,/competitions/titanic,None
/adjgiulio,Avito's human error rate?,"Out of curiosity, what does Avito estimate is their moderator's error rate? I guess there are many way to slice it (i.e. more vs less experienced moderators) but if you had to come up with false positive and false negative rates across all of your posts, what would that look like?",0,None,1,Fri Aug 15 2014 18:26:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10051,/competitions/avito-prohibited-content,1st
/cavaunpeu,Isn't this contest entirely flawed?,"*The following is not an original idea of mine - it was pointed out to me by another Kaggler. We are given data for Days 1-19 of each month, and asked to predict for the remaining days of each month. As such, we are more than able to use data for, say, February 1-19, 2011 to predict for January 20-31, 2011. Does this not flaw the contest entirely?",1,None,1,Fri Aug 15 2014 22:00:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10052,/competitions/bike-sharing-demand,781st
/attud27,Did anyone try RGF (Regularized Greedy Forest) ?,"I am just wondering if anybody tried RGF library for this competition. It is a recent development. According to the authors, it did pretty well in the Heritage Foundation competition (came joint first). One problem is that it is written in C++, and doesn't have a R/Python implementation.",2,None,3,Fri Aug 15 2014 22:44:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10053,/competitions/higgs-boson,675th
/hallayang,Data Robot in WSJ,http://blogs.wsj.com/venturecapital/2014/08/15/datarobot-run-by-worlds-top-data-scientists-raises-21m-series-a/ Congrats on the new round of funding.,8,silver,1,Sat Aug 16 2014 15:09:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10057,None,None
/iclassify,Possible mistake?,"Hi, Is there any chance that the labels/names for the ictal and interictal files are interchanged by mistake for Patient 4? I observe a phenomenon which is uniquely reversed for patient 4, as opposed to all the other subjects.",0,None,2,Sat Aug 16 2014 19:23:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10058,/competitions/seizure-detection,154th
/srajendrakumarm,variable lengths differ error,"I am getting this error when I am calling predict. Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : variable lengths differ (found for 'day')In addition: Warning message:'newdata' had 6493 rows but variables found have 10886 rows Need help to resolve this.",0,None,1,Sun Aug 17 2014 20:08:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10061,/competitions/bike-sharing-demand,1835th
/roycoding,Beat 5 Kaggle Benchmarks in 5 Days Challenge,"I'm planning a Beat 5 Kaggle Benchmarks in 5 Days challenge starting Monday, 18 Aug. This challenge is just for fun. It's aimed at people just getting started and people who just want to practice. This is a follow-up to last week's [Link]:https://www.kaggle.com/forums/t/9993/match-5-kaggle-benchmarks-in-5-days. This is a much more difficult challenge than the previous one. It's partly designed to help you think of minor / simple things that you can do to get some improvement over the baseline score (e.g. segmented means, blending previous benchmarks, out-of-the-box algos, etc.). How it works: Choose any 5 Kaggle competitions. Each day try to beat the benchmark. Post progress and questions to this thread (or the competition thread). Good luck and have fun!",3,bronze,9,Mon Aug 18 2014 05:14:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10062,None,None
/drpatrickchan,Help on Logistic Model and how to reduce the training data,"Dear all kagglers, Came to this competition late and is really tied on time. Had tried Vowpal (ngram approach) and maximum I can get on the LB is 0.47. I have been training on full dataset. Love to seek advices from the masters on their approaches to logistic regression model and how we can trim the original big data. Thanks for sharing. Patrick",1,bronze,1,Mon Aug 18 2014 06:34:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10063,/competitions/criteo-display-ad-challenge,60th
/simonwaddington,TIP: Converting date-time to hour,"Guessing the hour is an important variable I thought I could easily convert the datetime after reading df with pandas something like this: df['hour'] = pd.to_datetime(df.datetime).hour but no that doesn't work throwing an error like this: AttributeError: 'Series' object has no attribute 'hour' because df.datetime isn't a single value even though some of the example code looks like it is e.g. things like df['new_col'] = df.col1 + df.col2 In the end I realized I have to map over the column like so: df['hour'] = df.datetime.map( lambda x: pd.to_datetime(x).hour ) You can also have Pandas parse the column as a datetime in the first place like so: df = pd.read_csv('train.csv', header=0, parse_dates=[0]) and then the lambda becomes df['hour'] = df.datetime.map( lambda x: x.hour ) If anyone has an even better way please let me know",1,None,8,Mon Aug 18 2014 11:23:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10064,/competitions/bike-sharing-demand,2564th
/steveroll,Deadline for Team Mergers,"Hi, I'm confused about the deadline for team mergers. Is the deadline for merging 8/26 or one week before that(8/19)? Thanks! Steve",0,None,1,Mon Aug 18 2014 14:25:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10067,/competitions/liberty-mutual-fire-peril,80th
/mikejiang,GBM LambdaMart,"Hi All, Does anyone care to give a short description of how to use the GBM distribution=pairwise (lambdamart)? I'm kind of confused as to how to use this. The examples I found were a little confusing. Thanks in advance",0,None,8,Mon Aug 18 2014 21:09:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10069,/competitions/liberty-mutual-fire-peril,25th
/diba202160,Probabilistic score normalization,"Probably for calculating AUC, different thresholds will be applied on the whole results of all subjects entirely. Am I right? As the range of probabilistic outputs may differ from subject to subject, and from seizure to early detection (surely all of them are in the range of [0 1]), I was wondering if it is allowed to normalize the probabilistic outputs of each patient separately to [0 1], so that the minimum be 0 and maximum be one? And then make the final submission file? Appreciate your response.",0,None,2,Mon Aug 18 2014 21:43:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10070,/competitions/seizure-detection,10th
/anoophallur,Sample Submission Clarification,I noticed that in sample submission there is only 1 circle for each person(ego). The reason I am asking this is because I am confused whether a particular friend of a person can be included in 2 or more circles or should it be restricted to 1 at max?,0,None,3,Wed Aug 20 2014 00:38:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10077,/competitions/learning-social-circles,None
/bahar3,Train data (annotations),"Hi All, I have checked the train set, and it seems that there is something wrong with the annotations. For example, the first id is 1072662906, for which the text does not have chicago or mumbai, but it has marysville, which is annotated for the second id. Am I missing something here?",0,None,4,Wed Aug 20 2014 01:55:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10078,/competitions/alta-2014-challenge,3rd
/yansoftware,Features for seizure detection,"Hello, everyone, I'm wondering which features you have extracted for this dataset. I mainly have used the following features for each channel to achieve an accuracy of 0.9423: fractal dimension, mobility, complexity, skewness, kurotsis, variance, and frequency energy at following bands: delta(0.5-4Hz), theta(4-7Hz), alpha(7-14Hz), beta(14-30Hz), gamma(30-100Hz) Have fun~",4,bronze,20,Wed Aug 20 2014 05:51:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10079,/competitions/seizure-detection,20th
/pranavkantgaur,What exactly is an 'event'?,"Hi, I was studying the [Link]:http://higgsml.lal.in2p3.fr/files/2014/04/documentation_v1.8.pdf in order to understand the process physically. An event has been defined to be a single collision of a pair of bunches of protons. So in a single event(containing multiple proton-proton collisions) there may be many hadronic taus, leptons and neutrinos coming out. Now my questions are: For any event, lets say I take the feature PRI_tau_pt: does it represent the average transverse momentum of all hadronic tau particles generated across all proton-proton collisions in that single event? Actually, my question holds for all such quantities present in the features. Further, I just wanted to be sure about the fact that in an event which is classified as signal, is it possible to have some Higgs-Boson decay process follow the channel different than tau-tau? So the background event will be the one which does not have any decay to tau-tau pair at all, across all Higgs-Boson decays resulting from any proton-proton collisions in that event?",1,bronze,2,Wed Aug 20 2014 07:14:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10080,/competitions/higgs-boson,193rd
/herofan,how to do cross-features in Vowpal Wabbit?,"how to do cross-features in Vowpal Wabbit? when i do Discretization of continuous features(I1--I13), how to do cross features in Vowpal Wabbit",0,None,1,Wed Aug 20 2014 15:39:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10081,/competitions/criteo-display-ad-challenge,24th
/matthewroos,Universal model vs. subject-specific models,"Did the best scoring teams use a single model for all subjects, or a collection of models--one for each dog/patient? I initially tried individual models, which typically scored very well using cross-validation but barely got above 0.90 AUC on the leaderboard 15% test set. Using a universal model I got a significant boost. I believe this is due to increased amount of data that could be used for training, but also because it better allowed me to hone the regularization (getting good regularization was difficult for single-subject models because the data was too easy to discriminate). A quick summary of my model: Resample to 500 sps. Extract 0.5 second windows from the beginning, middle, and end of each segment. Apply Hanning windows and compute DFTs. Sum the power in bands 4-8, 8-13, 13-30, and 30-100 Hz and convert to log scale. Discard all but 16 channels (I did this because I was short on time and didn't want to search for a better way to incorporate additional channels). The channels that provided the greatest d-prime discrimination of ictal vs. interictal were retained and ordered by their d-prime values. This resulted in a feature vector of length 3x4x16 = 192 for each segment. I used SVMs with RBFs and gamma = 1.58. One SVM for each of the predictions we needed to make. Matt",4,bronze,7,Wed Aug 20 2014 16:41:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10082,/competitions/seizure-detection,8th
/suriya,How to split and train the data,"Hello, I am coding this problem in python. I have this huge data set, and I have preprocessed it to some extent, like substituting mean for missing values etc. Now I have train the model. For this I need to split the data set and train it part by part. The question I have is, how do I combine the results of all these training multiple files?",0,None,4,Wed Aug 20 2014 17:54:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10083,/competitions/criteo-display-ad-challenge,None
/graphlab,GraphLab Create for Bike Sharing Demand,We have just released a tutorial of boosted decision trees using GraphLab Create which get's you very quickly into the 15th place on the leaderboard: http://blog.graphlab.com/using-gradient-boosted-trees-to-predict-bike-sharing-demand Thanks to Jay Gu from the GraphLab team for sharing!,1,bronze,2,Wed Aug 20 2014 18:23:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10085,/competitions/bike-sharing-demand,None
/virilo,Memory error executing vanilla avito_ProhibitedContent_SampleCode.py,"Hi, After reading avito_ProhibitedContent_SampleCode I understood that I needed a ""train_data.pkl"". I noticed that the main procedure have four commented lines, followed by one uncommented line. I thought that these uncommented lines are the way to get ""train_data.pkl"" in the first execution. So the .tsv file can be processed, serialized and stored into ""train_data.pkl"" In order to get that, I inverted the comments, and executed the following main procedure: featureIndexes = processData(os.path.join(dataFolder,""avito_train.tsv""), itemsLimit=300000) trainFeatures,trainTargets, trainItemIds=processData(os.path.join(dataFolder,""avito_train.tsv""), featureIndexes, itemsLimit=300000) testFeatures, testItemIds=processData(os.path.join(dataFolder,""avito_test.tsv""), featureIndexes) joblib.dump((trainFeatures, trainTargets, trainItemIds, testFeatures, testItemIds), os.path.join(dataFolder,""train_data.pkl""))# trainFeatures, trainTargets, trainItemIds, testFeatures, testItemIds = joblib.load(os.path.join(dataFolder,""train_data.pkl"")) But after the execution I got a memory error: [LINE:109]# DEBUG [2014-08-20 17:54:17,323] Generate features for avito_test.tsv: 1350000 items done[LINE:109]# DEBUG [2014-08-20 17:54:17,611] Generate features for avito_test.tsv: 1351000 items doneTraceback (most recent call last): File ""avito_ProhibitedContent_SampleCode.py"", line 158, in <module> main() File ""avito_ProhibitedContent_SampleCode.py"", line 131, in main testFeatures, testItemIds=processData(os.path.join(dataFolder,""avito_test.tsv""), featureIndexes) File ""avito_ProhibitedContent_SampleCode.py"", line 120, in processData features = sp.csr_matrix((np.ones(len(row)),(row,col)), shape=(cur_row, len(featureIndexes)), dtype=np.float64) File ""W:\Python27\lib\site-packages\scipy\sparse\compressed.py"", line 48, in __init__ other = self.__class__(coo_matrix(arg1, shape=shape)) File ""W:\Python27\lib\site-packages\scipy\sparse\coo.py"", line 139, in __init__ self.row = np.array(ij[0], copy=copy)MemoryError My laptop is a 32 bit Windows Vista with 4GB (but using only 3GB as Vista does). I started executing it with 2GB free memory, and it seems like it has crashed with 1GB free memory (according to task manager graph but not very sure) What have I done wrong? Thanks in advance",0,None,2,Wed Aug 20 2014 18:48:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10086,/competitions/avito-prohibited-content,None
/rightfit,Comparing weighted gini score,"Hi I am quite confused yet with the metric. When doing CV or when comparing different model predictions (on a validatation set), is a greater positive score always better ? I used a random validation set with around 45200 instances, having 100 instances with a target score > 0. Then I calculated the gini score by passing the target feature as both the actual and the predicted values. I got a weighted gini score of -0.9987910. That negative score being the best score, confuses me as to how to compare other negative or positive scores being output from the same validation set by different models/approaches. Thanks in advance on any advice Edit.... The metric that we are using - does it absolutely guarantee that more positive the score, closer is the sorted order of ids in the submission with the actual sorted order ? We are told that the train and test set is randomly picked up from the same corpus. If such is that case, and the weighted gini score from the train set is -0.998631 (using target for both actual and predicted), then is it wrong to think that the best scores of a predicting model should also be close to that figure ? Why is it then that the leader board ranking is based on + positive scores ? I am sure I am making some mistake somewhere - waiting for some advice.",0,None,4,Wed Aug 20 2014 21:22:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10087,/competitions/liberty-mutual-fire-peril,495th
/abhimanipal,Random Forest - Understanding k fold cross validation,"Hi Guys, My name is Abhi and I am trying to improve my data science knowledge by solving the problems available on this site. I am currently using randomForest to classify the data. By using all of the features available in the training set I get auc of about 87% and when I use my model on the test data I get an accuracy of about 77%. Now I am trying to understand k fold cross validation. I have the following questions (a) What is the objective of this process? (b) Can someone explaing the output of randomForest$error.cv? (c) Where should I use the 'k' that is obtained from this procedure? Thanks all. Any help would be much appreciated",0,None,10,Wed Aug 20 2014 23:23:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10089,/competitions/titanic,None
/bgeier,Sample order,Can we assume that the sample order (rows) is random?,0,None,1,Wed Aug 20 2014 23:48:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10090,/competitions/liberty-mutual-fire-peril,None
/gopi4225285,Solution based on Random Forests in R language,"Here is a solution for Bike Sharing Demand forecast problem using Random Forests in R - http://www.techdreams.org/programming/solving-kaggles-bike-sharing-demand-machine-learning-problem/9343-20140821 With this approach it could get RMSLE of 0.70 which placed to somewhere close to the mid of leader board, but could not improve it. Hoping to working with others to improve this code.",6,bronze,18,Thu Aug 21 2014 15:59:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10093,/competitions/bike-sharing-demand,2503rd
/corei13,"NN users, can you share your CV/LB score?","Without any modification to the data, my simple 2/3 layer NN can achieve ~3.4 in both CV and LB. I was wondering if anyone has achieved high AMS using more sophisticated methods, included but not limited to deep learning, autoencoders etc.",1,bronze,14,Fri Aug 22 2014 09:28:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10095,/competitions/higgs-boson,210th
/statisticallearner,question on dummy variables and feature hashing,"Hello everyone, I'm trying to preprocess the categorical features, but I meet some difficulties and hope you can give me some help! After reading some posts here, I see someone suggests to use dummy variables to code these features. I also notice the suggestion to use int(x,16) to hash the features. So here are my questions: 1) what is the difference between dummy coding and feature hashing? As I understand the feature hashing method generates some integers to represent the original categorical values. While the dummy coding results in lots of new columns with binary values. 2) If I use int(x,16) to hash the categorical features, I will get some integers. Can the learning models in sklearn directly use these integers as training data? Hashing is quite new for me. So please forgive me if I misunderstand what hashing really does. Thanks.",2,None,2,Fri Aug 22 2014 22:14:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10098,/competitions/criteo-display-ad-challenge,144th
/shaofanlai,How to get a 1.000,It's amazing to achieve 1.000. How did they do this?,32,None,118,Sat Aug 23 2014 04:44:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10099,/competitions/titanic,None
/jiweiliu,"What is ""dummy"" doing here?","Anyone finds the variable ""dummy"" useful? Thanks!",0,None,5,Sat Aug 23 2014 17:21:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10101,/competitions/liberty-mutual-fire-peril,18th
/protyushsahu1,True Test Labels,where do we get true test labels for calculating AMS? is it from training data ?,0,None,2,Sat Aug 23 2014 19:49:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10102,/competitions/higgs-boson,None
/tqchen,XGBoost in R,"For those who are interested, I have create a R wrapper of xgboost Update: with help of Tong He(kaggler Tom Hall), we created a R-package in https://github.com/tqchen/xgboost/tree/master/R-package See walkthrough in https://github.com/tqchen/xgboost/blob/master/R-package/demo/demo.R I have to admit that I have never learned R before yesterday and I have a lot of pain writing the code. So the code might not be very R-ish, comments are welcomed, fire an issue in https://github.com/tqchen/xgboost/issues?q=is%3Aissue+label%3Aquestion Tianqi",22,gold,21,Sun Aug 24 2014 04:07:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10103,/competitions/higgs-boson,45th
/sieber,Coursera Final Project,"Hello, I am completing a project for Coursera's [Link]:https://www.coursera.org/course/devdataprod class. I used the data for this competition to create the project. Following the rules of this competition, I am making the code that I used available to everyone on this forum. [Link]:http://sieber.shinyapps.io/CoverType/ [Link]:https://github.com/J-Sieber/CoverType Please feel free to give any comments, feedback, or concerns. Thank you, J. Sieber",4,bronze,3,Sun Aug 24 2014 04:56:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10104,/competitions/forest-cover-type-prediction,181st
/xinyuan,Failed in OneHotEncoding category features.  please help me.,"I have read some post in this forum about how to deal with categorical features. That is One-Hot encoding. It seems a simple concept. And I tried to use ""sklearn.preprocessing.OneHotEncoder()"" to do the job. But I failed. The features are 32bit hex numbers: '68fd1e64', '80e26c9b', 'fb936136', '7b4723c4', '25c83c98', '7e0ccccf', 'de7995b8', '1f89b562', 'a73ee510' I use OneHotEncdoer() as the example given in the official website, and I assume there are two categories and each categories has two different classes in order to simplify the problem. : from sklearn.preprocessing import OneHotEncoder enc = OneHotEncoder() enc.fit( [ [ 68fd1e64, 80e26c9b], [ 7b4723c4, 25c83c98 ] ] ) I think for each category , two element binary vector is enough, because they only have two different class. But python tell me I have used a number too large for some c-function that python used. Maybe first I should map these 32bit numbers into natural numbers? If there is two classes in one category, I map first into 0, and second into 1? then use OneHotEncoder function? And I think this is not a right way. Could you give me some advice on how to do OneHotEncoding in these 32bit features.. thanks very much.",0,None,3,Sun Aug 24 2014 11:23:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10105,/competitions/criteo-display-ad-challenge,619th
/soumil,Missing Values Imputation (MVI) in ipython,"Checking for the missing value in multiple columns could be a very daunting task . Here I will give a very easy and efficient way to exactly calculate the number of missing values in each of the columns at one go . (ipython) import pandas as pd #for file operations import numpy as np # for array operations train = pd.read_csv('train.csv') #now we will make an array which will store the sum of null values (missing values ) of each of the columns that we want to know #we will first see which columns we want to check for the null values train.columns Index([u'Id', u'Elevation', u'Aspect', u'Slope', u'Horizontal_Distance_To_Hydrology', u'Vertical_Distance_To_Hydrology', u'Horizontal_Distance_To_Roadways', u'Hillshade_9am', u'Hillshade_Noon', u'Hillshade_3pm', u'Horizontal_Distance_To_Fire_Points', u'Wilderness_Area1', u'Wilderness_Area2', u'Wilderness_Area3', u'Wilderness_Area4', u'Soil_Type1', u'Soil_Type2', u'Soil_Type3', u'Soil_Type4', u'Soil_Type5', u'Soil_Type6', u'Soil_Type7', u'Soil_Type8', u'Soil_Type9', u'Soil_Type10', u'Soil_Type11', u'Soil_Type12', u'Soil_Type13', u'Soil_Type14', u'Soil_Type15', u'Soil_Type16', u'Soil_Type17', u'Soil_Type18', u'Soil_Type19', u'Soil_Type20', u'Soil_Type21', u'Soil_Type22', u'Soil_Type23', u'Soil_Type24', u'Soil_Type25', u'Soil_Type26', u'Soil_Type27', u'Soil_Type28', u'Soil_Type29', u'Soil_Type30', u'Soil_Type31', u'Soil_Type32', u'Soil_Type33', u'Soil_Type34', u'Soil_Type35', u'Soil_Type36', u'Soil_Type37', u'Soil_Type38', u'Soil_Type39', u'Soil_Type40', u'Cover_Type'], dtype='object') Clearly Here except Id and Cover_type we want to know the number of null values for each of the column s=np.array([]) for i in range(1,55): k= train.ix[:,train.columns[i]],isnull() s=np.append(s,k.sum()) # Now to output the values of s s array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) # Clearly there are no null values in the given dataset",0,None,1,Sun Aug 24 2014 13:23:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10106,/competitions/forest-cover-type-prediction,376th
/statisticallearner,a question on cv,"Hello everyone, I always hear people talking about cross validation. But I don't quite understand the process and its purpose. From the book element of statistical learning, the author emphasizes one should first divide the data into K folds and then fit the data in each fold to get a model. Does that mean we have K models after doing the cv? Is the next step to merge all these K models or to select one model from these K models? Thanks.",0,None,5,Mon Aug 25 2014 06:01:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10107,/competitions/criteo-display-ad-challenge,144th
/bahar3,Evaluation script,"Hi, Would you please upload your evaluation script? Thanks Bahar",0,None,4,Mon Aug 25 2014 06:50:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10108,/competitions/alta-2014-challenge,3rd
/altro92,What is jet in Higgs boson decay,"In the challenge all data presented by three collision type and every decays have similar portrait (final states): 1 lepton and 1 hadron tau share and 3 neutrinos in Higgs/Z boson decay. But data contain also some information about jets. So, what is jet? And what does it mean that data contain 0,1,2 or more jets? (may be ATLAS had registered only same count jets and other can't be registered but total count jets is constant or total count of jets is various).",0,None,7,Mon Aug 25 2014 14:16:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10109,/competitions/higgs-boson,564th
/michaelhills,Required model documentation and code,"Hey everyone, My code and documentation are now ready. It was great fun competing with you all, that final week was pretty intense! https://github.com/MichaelHills/seizure-detection/raw/master/seizure-detection.pdf https://github.com/MichaelHills/seizure-detection Quickly summarising my model, for feature selection I used FFT 1-47Hz, concatenated with correlation coefficients (and their eigenvalues) of both the FFT output data, as well as the input time data. The data was then trained on per-patient Random Forest classifiers (3000 trees).",25,gold,8,Mon Aug 25 2014 23:23:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10111,/competitions/seizure-detection,1st
/vaibhavbhat,Calculate rank before submitting,"How I can calculate my accuracy before submitting the solution? I tried rmsle function but getting NA, can anyone help me here > rmsle(train.data$count, prediction)[1] NAWarning messages:1: In Ops.factor(1, predicted) : + not meaningful for factors2: In log(1 + actual) - log(1 + predicted) : longer object length is not a multiple of shorter object length",0,None,1,Tue Aug 26 2014 03:10:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10115,/competitions/bike-sharing-demand,1982nd
/zingaloo,Train with last day data,"Hi All, Did anyone train with the last day data using LR? What was the Logloss?",0,None,6,Tue Aug 26 2014 12:30:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10116,/competitions/criteo-display-ad-challenge,None
/dmitriyguller,Are solutions using SAS allowed?,I'm having a hard time interpreting this part of the rules: OPEN-SOURCE CODE A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license: other than an Open Source Initiative-approved license (see <http://opensource.org/>); oran open source license that prohibits commercial use. Is a solution that uses SAS code eligible?,0,None,6,Tue Aug 26 2014 16:03:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10117,/competitions/liberty-mutual-fire-peril,6th
/bveber,Preictal data from Dog 4,"In Dog 4, I am seeing 97 preictal segments, but I was expecting to see a number divisible by 6 (from the way the data is segmented). When I looked further I saw a few different preictal events without sequence values ~1-3. Is there potentially more data or were those removed on purpose?",0,None,2,Tue Aug 26 2014 19:59:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10118,/competitions/seizure-prediction,178th
/kchlou,Submission,"In the submission, you need a probability? OR just a 0 or 1 (have not or have seizure)?",0,None,6,Tue Aug 26 2014 20:36:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10119,/competitions/seizure-prediction,None
/zygmunt,Beating the benchmark,"Good news, everyone! Here's the code that got me ~0.971: https://github.com/zygmuntz/kaggle-avito It uses Vowpal Wabbit and comes with instructions. Remember to click thanks if you find it interesting or useful.",25,gold,35,Tue Aug 26 2014 22:26:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10120,/competitions/avito-prohibited-content,43rd
/kchlou,Open .mat file,"Hi guys, I downloaded one .gz file and I extract it. Zip is asking me to name the extension. I am using .MAT but I cannot open the unzipped .MAT file later on. I am using MS Access. Any tips? Thanks",1,bronze,14,Wed Aug 27 2014 00:42:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10121,/competitions/seizure-prediction,None
/youbaji,"no Ictal (seizure), nor Post-ictal (after seizures) data?","Why there is only interictal and preictal training data, but no Ictal and post-ictal data?",0,None,1,Wed Aug 27 2014 04:47:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10122,/competitions/seizure-prediction,None
/ydhiman,How Can I manipulate the sensitivity of selected classes in our response variable,Is there a way to manipulate the sensitivity of selected 2 classes out of 7 in our response variable.,0,None,2,Wed Aug 27 2014 08:09:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10123,/competitions/forest-cover-type-prediction,659th
/neuro17,Looking for a team,"Hi everyone, I am an italian student in computer science with passion for data science. I'm following the Johns Hopkins' university data science course on coursera and I'm looking for a team because I think the best way to learn is by practice and collaborating with people with a background stronger than mine. I hope someone could appreciate my effort.",0,None,5,Wed Aug 27 2014 10:32:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10124,None,None
/savarin,Pandas and Scikit-learn introduction via Kaggle Titanic competition,"Hello everyone, I recently gave an introductory tutorial on pandas and scikit-learn at a Kaggle Berlin meetup. We covered the material via IPython notebook. I’ve enclosed the link below, hope the Python users on the forum find them helpful. [Link]:https://github.com/savarin/kaggleberlin-introtutorial If you’re in Berlin, we’d love to see you at future events. [Link]:https://github.com/savarin/kaggleberlin-introtutorial Best wishes on the competitions!",10,bronze,10,Wed Aug 27 2014 12:31:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10125,/competitions/titanic,None
/stanley1004,Full Scope Model vs Split submodels,"Hi Guys, I have got some show stoppers with my competition and would appreciate if you guys can share some thoughts on this. For cross validation, I split the data into training set and cv set. In training set, I applied a random forecast algorithm to all training set data and use cv set to validation the result. With different parameter settings, I can get the optimal AMS as 3.5 on this full scope model. The reason why I call full scope is that the second approach that I chose to go is to split the data into subsets and apply the algorithm on each subsets (I call sub-models). The way I split it is based on unavailable values (-999.000). I have observed that unavailable values columns are in groups, e.g. if for one record, ""PRI_jet_leading_pt"" is -999.000, then other two columns ""PRI_jet_leading_eta"" and ""PRI_jet_leading_phi"" will be -999.000 as well. With this pattern, I am able to split the whole data set into 6 small data sets in which none of them has -999.000 values (Theoretically it is 8 groups but 2 of them is empty). I applied the same Random Forecast algorithm on each of the submodels, To my surprise, the result is much worse. AMS can be around 0.8 for one submodel and can be around 2.8 for another submodel. Can anyone help me out with this? I don't know why this is happening. Not sure I my approach to split the data set is correct. Right now I am thinking about applying other algorithms (I have tried with Gradient Boost, but he result is close to Random Forecast). If you guys have any other ideas, please do share that. Many thanks in advance. Thanks, Stanley",0,None,11,Wed Aug 27 2014 14:18:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10126,/competitions/higgs-boson,None
/domcastro,Fields in Matlab file - can't find 'data' etc,"After I import the files into Python, I can't find the field names 'Data' , 'data_length_sec', 'sampling_frequency' etc etc. There's an array with 'preictal_segment_1': array etc but I can't access by the field names given in data description. Any idea? I can see fields in R but not Python",1,bronze,13,Wed Aug 27 2014 21:23:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10128,/competitions/seizure-prediction,None
/jcstat,Welcome,"Welcome to the Africa Soil Property Prediction Challenge. If you have any questions, do not hesitate to use this forum to interact with us. Good luck! Jiehua ChenAssociate Research Scientist, The Earth InstituteColumbia University",5,silver,16,Wed Aug 27 2014 22:52:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10130,/competitions/afsis-soil-properties,None
/harrypotter225816,Precision and recall numbers.,"Hi, can you also show precision and recall numbers for submissions? This allows us to shape our further optimizations and feature engineering. Thanks, Harry.",0,None,1,Thu Aug 28 2014 06:08:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10132,/competitions/alta-2014-challenge,4th
/ravian,Model submission,"Hello, anyone can tell me please, what does model mean?",0,None,3,Thu Aug 28 2014 09:07:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10133,/competitions/higgs-boson,1503rd
/smoens,Modeling time-of-day effects - time series analysis,"Hi all!! Happy to be part of this community with my first data challenge here :) (excluding the Titanic challenge). I just started exploring the data in Excel, but noticed already some gap in my knowledge to tackle this problem, so hoping to find some guidance. I just wanted to start with a simplified approach, checking the relationship with time-of-day and bike rentals visually, also revealing the interaction between time-of-day with weekdays (see attached file, haven't imputed data for time gap, but on a conceptual level not of importance to this question for now). How do you model such a non-linearity? The pattern seems very consistent and of importance to predict the biker count for the test data. I have searched google for some examples of time series analyses but haven't been successful in figuring things out. Have you used [Link]:http://www.uvm.edu/~dhowell/gradstat/psych341/lectures/MultCompFolder/cubic.html, or some other kind of polynomial function? Or do you split the data and model the subparts. Can someone point me to resources to tackle this problem? Thanks a lot!! Correction: sorry accidentally updated two files, second chart file will do. First chart file also consists of relationship between time-of-day and bikers for the different seasons. Update: so I just made my first submission :) haven't done anything fancy, but calculated averages by time of day, controlling for weekday. Benchmark score: 0.69310. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52572/1473/excel_charts.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52572/1474/excel_chart_timeofday.png",0,None,6,Thu Aug 28 2014 15:12:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10134,/competitions/bike-sharing-demand,2479th
/rogersfsilva,"Wrapping up: Competition Results, Post-Analysis, and Feedback","Hi all, First and foremost, thank you very much for all who participated in the MLSP 2014 Schizoprenia Classification Challenge. We were thrilled to see so much response from both senior Kaggle members and other Neuroimaging enthusiasts that were new to the platform. In this post I would like to address some points and questions that permeated some forum posts throughout the competition, and also share with you some preliminary results from our post-competition analysis. We are very excited with some of the observations we made and we think you may feel the same way. Later, in a separate post, we will also ask that you share with us some information in the form of a short questionnaire. Issues and final ranking: Sample size: Like many have recognized quite early in the competition, the total number of examples in this competition was really low by Kaggle's standards. In total (training + test), we had data from only 144 subjects. 86 were assigned for training, 30 were assigned for the public test set, and 28 for the private test set. Clearly, it should be no surprise that such low numbers would significantly increase the variability of the reported AUCs. In fact, from day 1 we had noticed enlarged inconsistencies between Public and Private leaderboards. While we recognize that this was far from ideal, this is the current reality of neuroimaging research: the number of subjects in a given study is always low. The issue of ""fair"" performance assessment, especially in a competition setting, is surely a challenge and our choice of separate Private and Public AUCs was really the best we could do without altering the default Kaggle framework. The good news, however, is that the inconsistencies were not so bad after all (see below). Inflated test data: While we put quite a bit of effort trying to generate fake data that would mimic the distribution propeties of SBM and FNC features for the test subjects, it slipped from our attention to verify that the resulting FNC correlation matrix would be positive definite. I have not checked it further, but I believe that would flag most (if not all) fake subjects and possibly reveal the test subject Ids that were being used to get the leaderboard AUCs. That's why we never replied to this [Link]:http://www.kaggle.com/c/mlsp-2014-mri/forums/t/9596/fnc-data-interoperation. Sorry about that! ;-) Cheating: Yes, quite a few people cheated. And we have worked with Kaggle as hard as we could to figure out who were the cheaters. Those that we identified were disqualified but it is likely that we didn't catch everyone. Just for good measure, we also decided not to include any submissions from missing/deleted (404) accounts in our internal post-competition analysis. Ranking: As a result of the high variability in the AUCs, the reported AUC on the public leaderboard not always was consistent with the private scores. This raised a question of what would have been a better way to assess model performance. Many have expressed in the forum posts that models with more ""consistency"" between private and public scores would have been prefered. While this is a sensible rationalle, we felt that it alone wouldn't suffice either. Thus, at least in ""post-competition"" hindsight, it made sense to consider the ""Overall AUC"" on the entire Test data (public + private). In general, this would not only favor consistent models but also models that generalized better overall. This is what we used to generate the ranking below. The new ranking does not override/replace the official Kaggle ranking. Post-Competition Analysis: We are currently analyzing all submissions from everyone who did not cheat and has and active (not deleted) account on Kaggle. In total, there are 2087 entries from 245 teams. We have assessed performance using ""Overall AUC"" (i.e., AUC on the entire Test data, Public + Private sets), then Private AUC, then Public AUC, then timestamp of the submission, in that order, to resolve any ties. Below is a preview of the distribution of all submissions: It is quite striking that, despite the high variability, clearly there is a nice trend and most submissions were in fact consistent between public and private scores. The issue with the leaderboards not reflecting this, for the most part, is that they are designed to seek only the extremes along x and y axes. Plus, people have to indicate which 2 submissions/entries they trust most, and that can throw things off as well. This is what the plots look like if we consider only the submission/entry with largest Overall AUC from each team: This is the final ranking using the criteria above: [Link]:http://www.kaggle.com/blobs/download/forum-message-attachment-files/1475/rank_table.csv Notice how no one managed to break through the 0.9 Overall AUC ""wall"". The take away from this competition is that in the end the challenge is to attain good generalization. This is the main goal of machine learning. In this particular competition, the sample size was pretty small and that made it harder to attain good generalization. Also, because this was a Competition setup, defining a stable, unbiased indicator of good performance for low sample size was hard and possibly would not fit the standard Kaggle framework. That's it, for now. :-) Stay tunned for more interesting stuff in the coming weeks. Feedback This is were you can help us, and other researchers, even further. We will be [Link]:https://www.kaggle.com/c/mlsp-2014-mri/forums/t/10404/follow-up-questionnairea small survey questionnaire shortly on the website. It would be fantastic if you could all answer the questioannaire (1 answer per team). Instructions on how to answer the questionnaire will be given in a separate post. Thanks for reading through to the end!We hope you find these results as interesting as we do.Cheers! The 2014 MLSP Competition Committee [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52580/1475/rank_table.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52580/1476/new_scatter_fonts_700dpi.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52580/1477/scatter_top_700dpi.tiff [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52580/1478/new_scatter_fonts_335dpi.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52580/1479/scatter_top_335dpi.png",8,silver,2,Thu Aug 28 2014 16:22:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10135,/competitions/mlsp-2014-mri,None
/kirilligum,how come random forest regression gives negative gini score?,I tried simple program that imputes the missing data one-hot the var1-9 and does a random forest regression. I don't expect much but at least I would expect something better than just no model. but i got gini -0.14889 how can random forest make things so much worse? in 10-fold cross validation on training data i was averaging over 0.3 and all ginis were positive.,0,None,3,Fri Aug 29 2014 04:58:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10143,/competitions/liberty-mutual-fire-peril,408th
/aisensiy,Problems when using sklearn lib,"I am using sklearn lib as my tool to create models to generate models for this competition. But I found some problems. predicting the result is quite slow. I use 50w data to training the model which is quite fast but when I use the whole dataset, it is quite slow. And the function `predict_proba` is also quite slow... Is there some method to make it faster. I use bag of word so there is a lot of features. The matrix is too big so it has to be a sparse matrix structure. But random forest and grandient boosting do not support sparse matrix. I tried some features selection method to make the matrix smaller but There is still `segmentation fault` error without any explaination. By the way, I use a computer with about 25GB RAM to generate my models.",0,None,9,Fri Aug 29 2014 08:44:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10144,/competitions/avito-prohibited-content,47th
/muthujothi,Mining Massive DataSets,"https://www.coursera.org/course/mmds Interesting course. Coursera Sep 29, 2014.",6,silver,2,Fri Aug 29 2014 14:47:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10146,None,None
/gaborfodor,Additional Data,"The description page says: ""Participants are invited to visit the NIH-sponsored International Epilepsy Electrophysiology portal (http://ieeg.org) to review and download annotated interictal and preictal data from other patients and animal subjects. Using ieeg.org data for additional algorithm training is permitted."" Could the admins provide some help about accessing ieeg.org data please?",0,None,1,Fri Aug 29 2014 18:58:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10150,/competitions/seizure-prediction,317th
/olddocks,Beginners tutorial for Titanic dataset,I have written a nice tutorial for beginners who are interested in machine learning of titanic data from kaggle. http://goo.gl/wrQDvM Hope this helps!!,36,bronze,42,Fri Aug 29 2014 19:15:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10151,/competitions/titanic,None
/goodtry,Connection to the LAL website,"I apologize in advance if this is my local problem. However, I should say that connection to the LAL website (http://higgsml.lal.in2p3.fr/) is not good at all. I used Firefox 26.0 and Opera 12.12. A browser cannot open any link of the website. When I try to connect to the LAL main page, I see on the bottom of the Firefox a message ""Waiting for reply from maps.google.com"", but the page is not openned. Therefore, the technical documentation and the Starting kits are not available. Maybe, it is possible to put the document and the codes to the Kaggle website?",0,None,3,Fri Aug 29 2014 19:36:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10152,/competitions/higgs-boson,415th
/nathanhammes1,External Data,"This question is for the competition admins: Based on the following: ""'Data' means the Data or Datasets linked from the Competition Website for the purpose of use by Participants in the Competition."" Also, ""Unless otherwise expressly stated on the Competition Website, Participants must not use data other than the Data to develop and test their models and Submissions."" Are the MODIS datasets (the ones from which the spatial predictors are taken) considered external data for the competition, and not to be used?",0,None,10,Fri Aug 29 2014 20:12:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10153,/competitions/afsis-soil-properties,448th
/jaspreetsingh,Question on categorical data,"The categorical data is provided encoded as sequences corresponding to 32 bit numbers. But some of the entries seem to not conform. E.g., one of the rows of the training data is 10070199 1 2 7 8 5 5 6 2 20 4 1 1 4 05db9164 bc478804 66a1b8a9 13508380 3.09E+78 7e0ccccf 6fb62f1a 5b392875 ...... What does the ""3.09E+78"" value for a categorical feature here correspond to ? Thank you.",0,None,7,Fri Aug 29 2014 23:50:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10157,/competitions/criteo-display-ad-challenge,200th
/bveber,Training set cross validation,"Hey everyone, I'm curious if somebody has had any success matching validation performance from training set to the test performance on the leaderboard? and if they would be willing to share? I have tried a number of K-Fold cross validation schemes, but haven't had much success using the training set to accurately predict a change in test scores. Thanks, and good luck.",2,bronze,68,Sat Aug 30 2014 03:29:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10158,/competitions/afsis-soil-properties,629th
/rtc1105856,3.8 days left and I'm not allowed to upload first submission?,"I learned of the Liberty Mutual challenge a few days ago, downloaded the data, and now have my first submission ready. Unfortunately, when I try to submit my file, your site states: ""This competition is closed to new entrants"". This is not cool given there are still 3.8 days left. You need to find a more obvious way to CLEARLY let people know there is a first-submission deadline. Ideally, this message should be printed when someone downloads the data, EVERY time they download the data, in CAPITAL letters. :-(",0,None,14,Sat Aug 30 2014 06:18:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10159,/competitions/liberty-mutual-fire-peril,None
/dyakonov,Approach sharing,"I had not much time to compete, so I can describe my approach right now.I started a week before the end of competition and had only two days. So I only ran my model from LSHTC-competition (tf*idf + weighted kNN, k=125): 0.97861 on LB (~0.982 in my local tests). I also added category features to tf*idf-matrix. Today I'll try to blend kNN and vw, but as I understand it can result in +0.004% (it is below Top10).",4,bronze,17,Sat Aug 30 2014 11:20:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10161,/competitions/avito-prohibited-content,5th
/rybnik,Data standardization ,"Hi all! First of all, thank you for the wonderful competition, great topic :) I would like to ask for some light on how exactly has the data been mean centered and scaled? Thank you!",1,bronze,9,Sat Aug 30 2014 13:06:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10162,/competitions/afsis-soil-properties,612th
/barisumog,Could everyone with high scores please post their solutions?,"You know, just so I can learn from others. I profoundly enjoy solution sharing on the forums. I learn a lot from them. Sadly, I magically lose my ability to learn the moment the competition ends. So if you post it after the competition, it's no use to me. So while there's still some time left, I'd be glad if you can post your solutions, for science. Two heroes have already opened the path. Foxtrot has waited 45 days after his submission, but luckily he couldn't wait a few days more, and posted his code. Just in time I could learn from it. Alexander didn't post code, but his explanation is good enough. And his score is much higher than Foxtrot's, so I can learn better from that. I know some of you might still have a chance to win this, and thus not be willing to share their solutions. Well, shame on you! You know nothing about science and open source and pokemon. My call out is to all others, with high scores, who don't think they have a chance to win. Post your solution now, the clock is ticking. I would like to learn from you. Don't let common courtesy stop you from ruining the competition for others. It's all in the name of learning and science.",7,bronze,5,Sat Aug 30 2014 17:49:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10163,/competitions/avito-prohibited-content,1st
/usmanroshan,Has anyone tried the support vector machine for this problem?,"Hi, I've been experimenting with the support vector machine and support vector regression (linear kernel) with mean substitution for missing values. I'm able to obtain an AMS of about 2.02 on the training set with a balanced error of about 30% (similar if I leave missing values as -999). This AMS is much lower than reported values with neural networks and other methods and so I am a little puzzled. Has anyone else experimented with the SVM or similar approaches for this problem? Thanks.",0,None,2,Sat Aug 30 2014 20:11:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10165,/competitions/higgs-boson,1497th
/davutpolat,Cross Validation and Shuffling ,"Hi everyone, I ran 5 fold CV using ShuffleSplit (from scikit-learn) with 20% holdout, i get that AMS results are not stable at all. But when i run CV without shuffling (with same model parameters) , it gives me stable results, almost same as LB score. Which result should i trust? Anyone know why this is happenig ? Regards,",0,None,2,Sat Aug 30 2014 23:41:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10166,/competitions/higgs-boson,10th
/waterbears,Ordering of training/testing data,"It's not said in the competition description of how the training and testing data are ordered. But using train/test split with or w/o shuffling seems to have a big effect on the validation score, suggesting that the data is not randomly ordered. Can the competition organizer comment on this? Thanks!",1,bronze,14,Sun Aug 31 2014 03:28:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10167,/competitions/afsis-soil-properties,1050th
/schrodinger,R's read.table() failing to read the training data.,"Hi I am an absolute beginner to both sentiment analysis and R. I've been trying to read in the training data as a dataframe using the command rot_df <- read.table('data/train.tsv', header=TRUE, sep='\t') But it fails with the error Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 38258 did not have 4 elements I checked the train.tsv file at that line, and to me, it does seem to have 4 tab (ASCII 0x9) separated fields. Any help would be appreciated. Thanks",0,None,4,Sun Aug 31 2014 07:13:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10170,/competitions/sentiment-analysis-on-movie-reviews,None
/jaspreetsingh,Best without using categorical features ?,"Hi All, What is your best performance using only the integer valued features ? Some idea of this would help me in my efforts to try and improve my score. Thank you.",0,None,3,Sun Aug 31 2014 08:00:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10171,/competitions/criteo-display-ad-challenge,200th
/mikhailtrofimov,Avatar\Gravatar quality ussie,"Hi! I've just notice that on forum my profile pic looks blured. At profile page everything is ok, but in forum threads it looks like up-scaled. I tried to see html source of page and discovered that it really scaled from 80x80 image. Can it be fixed? It isn't really important thing, but it will better for everyone to see hi-quality avatars. =)",0,None,3,Sun Aug 31 2014 17:57:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10172,None,None
/clustifier,How to move up from around 3.6,"Hi all, Can someone with LB > 3.7 share a hit of how to move up from around 3.6? I've played with GBC but anything I've tried with it keep my score around 3.6. Thanks, C",0,None,7,Sun Aug 31 2014 18:31:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10173,/competitions/higgs-boson,24th
/statisticallearner,new features in test data?,"I found that there was some new feature in the test data ('C2' column) which didn't occur in the training data. Is that true? If true, how can we deal with the new feature? Thanks.",0,None,5,Sun Aug 31 2014 21:02:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10174,/competitions/criteo-display-ad-challenge,144th
/dmitriyguller,When do final results come out?,"When does the private leaderboard typically get revealed in Kaggle competitions? Is it immediately available once the competition ends, or is there some processing involved before it becomes available?",0,None,11,Sun Aug 31 2014 21:47:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10175,/competitions/liberty-mutual-fire-peril,6th
/xiaozhouwang,Simple linear regression starting kit,"Here is a linear regression starting kit written in R. It gives 0.5696 cv score and 0.57855 LB score. More specifically, the cv score for Ca, P, pH, SOC, Sand is 0.409, 0.925, 0.508, 0.511, 0.495, respectively. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52785/1488/slr.r [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52785/1489/slr.csv",33,gold,12,Sun Aug 31 2014 23:08:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10176,/competitions/afsis-soil-properties,536th
/statisticallearner,a naive question,"I'm sorry if my question is so stupid. I'm wondering If the Id 60000000 is written as 6e7 in the submission csv file, can that be recognized correctly? Thanks.",0,None,2,Mon Sep 01 2014 00:31:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10177,/competitions/criteo-display-ad-challenge,144th
/abhishek,Congrats Barisumog & Giulio,Congrats guys! You deserved it!!! Special congrats to Barisumog for becoming a Master!!! Looking forward to reading about your approach!,4,bronze,38,Mon Sep 01 2014 02:22:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10178,/competitions/avito-prohibited-content,6th
/statisticallearner,feel really frustrated,"I built up a model using the training data, and I used the first day's data to train the model then used this fitted model to predict the other days' data. I can got logloss around 0.4. When I used the fitted model to predict the test data, the LB score is 0.52.",0,None,5,Mon Sep 01 2014 02:25:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10179,/competitions/criteo-display-ad-challenge,144th
/amitbothra,Can we use data from a competition for a blog post,"Is their any restriction for the use of any competition's data. I want to use some data to write a blog to explain some technique. Is this allowed. Regards, Amit",1,None,3,Mon Sep 01 2014 02:47:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10180,None,None
/pbsciencelab,Classification label problem,"I am more from the machine learning side, so I'm not really familiar with EEG data. Any help is welcome! Anyway, am I right if I say that interictal segments(6 in total) of an hour are followed by a segment(that is not available) which should have a 0 as label? And that preictal segments(6 in total) of an hour are followed by a segment(that is not available) which should have a 1 as label. I have my doubts about it.. If I am right about this, is it correct to I say that each segment of the test data should be classified as interictal(label as 0) or preictal (label as 1)? Thanks!",0,None,4,Mon Sep 01 2014 18:59:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10182,/competitions/seizure-prediction,187th
/abhimanipal,Random Forest - How to get accuracy beyond 80%,"Hi Guys, My name is Abhi and I am trying to teach myself data science by solving some of the problems on Kraggle. I am programming this exercise in R. I am using radom forest as my model. The features that I am using are: Passenger Class Sex Age Fare Cabin No Of family members (SibSp+Parch) title The O/p of the importance function is Pclass 110.62901Sex 65.76143Age 77.38676Fare 105.88445Cabin 60.62563noOfFamilyMem 94.94320title 101.02817 what am I missing here? What can I do better? Any help would be extremely appreciated.",0,None,6,Mon Sep 01 2014 19:46:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10183,/competitions/titanic,None
/maineiac,First derivative?,Are others taking the first derivative of the MIR measurements as suggested [Link]:http://afsiskaggle.qed.ai/? The graphs look pretty different: Raw: First Derivative: Check out the attached R code if you want to see for yourself. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52888/1495/Raw.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52888/1496/FirstDeriv.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52888/1497/FirstDerivGraph.R,12,gold,16,Tue Sep 02 2014 01:39:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10184,/competitions/afsis-soil-properties,635th
/btelenczuk,number of test clips,"Each subject has a different number of test examples, which can bias the evaluation metrics towards the subjects with most examples. Does the metric account for the difference (for example, by taking an average of AUCs calculated for each subject separately)? Bartosz",0,None,1,Tue Sep 02 2014 01:48:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10185,/competitions/seizure-prediction,274th
/lawrencechernin,test set over-fitting,"I think that the reason that this competition has been so volatile is that we do not have a complete enough training data set. Hence massive over-fitting on the leaderboard. If the weight variable is related to the policy cost, then some policies apparently deemed very risky did not have fires (losses) in this time frame of the data collection (the train.csv). Therefore we are likely missing the complete set of historical data upon which the fire risk has been calculated.",1,None,5,Tue Sep 02 2014 02:33:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10186,/competitions/liberty-mutual-fire-peril,142nd
/breakfastpirate,Quantifying Leaderboard Shake-up,"Has the ""leaderboard shake-up"" between the public and private leaderboards ever been quantified? If it has, I missed it. So I will attempt to do so. My proposed measure of shake-up is: shake-up = mean[abs(private_rank - public_rank) / number_of_teams] I divide by number_of_teams so that competitions with a large number of teams can be compared to competitions with a small number of teams. I calculated this for a few past competitions. It was calculated for all teams and also for the Top 10% of teams in the public leaderboard. Competition Shake-up Shake-up (Top 10%)See Click Predict Fix 0.004 0.005Walmart 0.007 0.006Acquire Valued Shoppers 0.023 0.011Allstate 0.076 0.023DonorsChoose.org 0.078 0.066Big Data Combine 0.300 0.592 Given this metric, any predictions on what the shake-up will be for this competition?",17,gold,42,Tue Sep 02 2014 05:55:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10187,/competitions/liberty-mutual-fire-peril,104th
/laurikoobas,Approaches that didn't work,"As the competition is about to end, I hope it's OK to start discussing strategies that didn't work at all :) As I'm still fairly new to machine learning and the data in this competition was fairly large, I couldn't just run a bunch of algorithms on the whole training set and pick something out. After trying a few things like undersampling the negative cases and using various models, which all resulted in scores under the benchmark, I decided to go another way. So I thought up my own approach - I would take all the 1188 rows from training set that had a target and I would measure the (eucledian) distance between each row and the whole of test set (scaled first). Then I would just cycle through the 1188 training examples and each time pick the ""closest"" row from test set (and eliminate it from further consideration). It took me a few days to make it work, writing outputs to files for intermediate steps, etc. The final distance matrix (470 000 x 1188 numeric = 4GB) did fit into memory (of which I have 6GB) and the combining into final order ran for 6 hours last night. It resulted in 0.11 leaderboard score, far below the benchmark. I'm still unsure for why exactly the result is SO low, but I hope for more clarity once all the top teams share their approaches :)",2,bronze,4,Tue Sep 02 2014 08:48:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10189,/competitions/liberty-mutual-fire-peril,382nd
/meditativeape,How is ROC curve generated?,"The evaluation metric of this challenge is area under the ROC curve, but how is this curve generated? Specifically, if our submission contains only boolean predictions, i.e. 0 or 1, instead of real-value probabilities, changing the threshold value will not yield different classification results and there will be only one single point in the plot instead of a curve. According to [Link]:http://en.wikipedia.org/wiki/Receiver_operating_characteristic, there are multiple techniques to produce the ROC curve, such as trapezoidal approximations and ROC AUCH. I wonder which one Kaggle uses. Thanks!",0,None,3,Tue Sep 02 2014 20:59:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10191,/competitions/seizure-prediction,165th
/jiweiliu,"After shock, Let's talk about solutions","Congratulations to winners and everyone who leaps up. We will talk about our approaches shortly after some cleaning. However, the particular approach I'm interested in is how to wisely decide 'this is it' and stop working :P Our final submission is a blending of three different models: extreme gradient boosting (xgb), neural network(nnet), linear models (BayesRidge, Larse, Ridge), which gives 0.307 private LB. It turns out that nnet and linear models have serious overfitting. Public/private score is nnet: 0.38/0.26, linear: 0.38/0.28. actually we didn't blend the best xgb we have, which gives 0.38/0.31, see attached file for details. Finally, after reviewing most of our submissions, these features seem to be good for both public and private data sets. var: 4,7,8,10,12~17 geo: 31,32 weather: 103,153. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/52975/1501/fire-xgb.py",22,gold,25,Wed Sep 03 2014 02:35:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10194,/competitions/liberty-mutual-fire-peril,18th
/dataying,Downloading too slow,especially for 'Patient 2'..... unbearable!!!,1,bronze,6,Wed Sep 03 2014 03:05:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10196,/competitions/seizure-prediction,349th
/jamesmadison,Totally confused: How did I go from 100 to 43?,"Wait a minute...I was 100-something for weeks. Then my final position is 43. No complaints! But how on earth did that happen? I need to understand. Or...let me guess. I kept reading about some percentage being used for leader board, and some for some other stage. Is this what is happening: when I put in all my rows, only some are used for leaderboard standing, then at the end, all my rows are evaluated, and *that* is the final score? If so, now it make sense--never understood what that whole second stage was. Or am I lost?",0,None,6,Wed Sep 03 2014 04:18:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10197,/competitions/liberty-mutual-fire-peril,43rd
/lawrencechernin,Previous competition connection,Is there any connection between this competition and the one that just closed?? http://www.kaggle.com/c/seizure-detection,1,bronze,4,Wed Sep 03 2014 07:31:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10198,/competitions/seizure-prediction,129th
/sundi133,P value prediction,"Hi Folks, I am using the raw data to predict all the dependent variables. I am getting horrible prediction values for ""P"", Is there any transformation or filtration I should do to improve the prediction P ? Any pointers will be appreciated ? Thanks Sundi",1,bronze,11,Wed Sep 03 2014 16:28:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10199,/competitions/afsis-soil-properties,None
/curiousred,net visualization,"Hi, First let me warn you that I am novice in Big Data... I just finished a first read of the Julian's and Co paper. I have found it interesting. Just to get a feel (other than mathematical), does anyone know an easy (with python or whatever) way to plot the nets as done for the paper ? Thanks",0,None,4,Wed Sep 03 2014 16:32:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10200,/competitions/learning-social-circles,134th
/jeffhebert,Leaderboard Performance,"I like to look at how the leaderboard changes after the competition. It looks like all of the useful models had significant over-fitting. I think this makes sense because the actual results are quite sparse in this kind of data. Enjoy. Most models lost around 0.1 GINI points. Hmm, what's with the cluster near +0.02? Models that performed poorly in the public data set also performed poorly on the private data set. This is interesting. Folks who created more models seem to have lost more points between public and private GINI. I suppose this could indicate that these folks were fine-tuning their model for the public data, and it was just slightly less effective on a different data set. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53051/1503/fire_results.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53051/1504/fire_gini_shift_hist.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53051/1505/fire_priv_vs_pub_gini.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53051/1506/fire_gini_shift_by_entries.jpeg",12,silver,4,Wed Sep 03 2014 18:43:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10203,/competitions/liberty-mutual-fire-peril,247th
/georgesolymosi,Python starting kit - Simple newbie question,I'm newbie in Python. Could somebody pls tell me where should I see the Bayes classifier function in the Python starting kit? https://www.lri.fr/~kegl/HiggsML/StartingKit/startingKitHiggsKeglNice.html,0,None,2,Thu Sep 04 2014 02:27:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10209,/competitions/higgs-boson,778th
/mniininen,How to get started ?,"To help you getting started with this competition I provided some sample Python code as well as provided some links in my blog: [Link]:http://ag1le.blogspot.com/2014/09/morse-learning-machine-challenge.html As this is my first challenge that I posted in Kaggle please provide feedback or improvement ideas how to make this competition more attractive. If this first round attracts enough attention I can provide some more difficult data sets for you to chew on. While Morse decoder sounds like a trivial challenge for which any Computer Science student could write a program in one afternoon, the real tough problems are related to data. Most of the time the data we get from radio receivers have a lot of noise, interference, amplitude variations due to RF propagation effects, rhythm and speed variations that are operator dependent, sometimes frequency shifts due to doppler effects and so on. Decoding accurately Morse signals with low Signal-to-Noise Ratio (SNR), building adaptive algorithms that can deal with rapid speed and rhythm changes and filling in gaps when signal goes below noise level is much more difficult. Somehow human operators can deal with all these issues but current Morse decoders are having difficult time. This problem is probably less challenging than accurate speaker independent automatic speech recognition but difficult enough to allow you to put your data science / machine learning skills into good use. Do you have expertise to build a learning machine that meets or exceeds skilled humans in Morse decoding? 73 (best regards [Link]:http://www.arrl.org/ham-radio-glossary) Mauri",0,None,8,Thu Sep 04 2014 02:55:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10210,/competitions/morse-challenge,None
/webscale,Why did the total numbers of participants drop,At last count yesterday there were 644 teams. Wondering why did the count of teams drop to 634.,0,None,8,Thu Sep 04 2014 03:07:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10211,/competitions/liberty-mutual-fire-peril,64th
/mniininen,Problems with data?,In [Link]:http://www.reddit.com/r/amateurradio/comments/2fexx6/morse_learning_machine_challenge/ KR1LLR reported that audio.zip does not extract the 200 audio WAV files correctly. I verified my original files and uploaded a new version audio_fixed.zip to test that uploading process does not introduce errors. I also removed original audio.zip after I got confirmation that new audio_fixed.zip file was OK. If you encounter any issues with the data please report in this forum so that I can fix them. 73 Mauri AG1LE,0,None,3,Thu Sep 04 2014 12:51:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10213,/competitions/morse-challenge,None
/a8232782,Forum remains active after competition close?,"Hi there, Will this forum remain active after the end of the competition (I'm planning on using it for a class project and want to view the problem topics) Thanks!",0,None,4,Thu Sep 04 2014 18:18:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10216,/competitions/seizure-prediction,None
/mniininen,How to promote Kaggle competitions? ,"My [Link]:https://inclass.kaggle.com/c/morse-challenge was approved last night. As this is the first competition I have launched in Kaggle I am turning into this community to get your advice how to best promote this competition. I am looking for: 1. Any strategies, practical hints or suggestions how to attract participants and motivate people to join this challenge? 2. Any suggestions how to improve the challenge description, ""How to get started"" forum posts etc. ? 3. What forums I should use to publish this challenge? Is this topic of ""build a machine that learns how to decode audio files containing Morse code"" interesting and relevant to the broader Kaggle community? Thanks in advance for any suggestions.",3,bronze,9,Thu Sep 04 2014 23:36:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10219,None,None
/datawalker,Quick question on submission file format,"The actual test file has both column names quoted in the header: ""id"",""sentence"" whereas the example in the [Link]:https://www.kaggle.com/c/billion-word-imputation/details/evaluationonly has the second column quoted id,""sentence"" Does it matter? Should both column names in the header be quoted when we make a submission?",0,None,2,Thu Sep 04 2014 23:49:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10221,/competitions/billion-word-imputation,None
/ruxizhang,where to save and extract these big zipped file?,"I am new to Kaggle competitions. One question, where do you save and extract these big zipped data files? Do you all handle them in servers? They can hardly be handled on pc hard disk.",0,None,2,Fri Sep 05 2014 00:39:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10224,/competitions/seizure-prediction,None
/triskelion,Decode Morse Code Live,"http://websdr.ewi.utwente.nl:8901/ On this page you can listen to and control a short-wave receiver located at the amateur radio club ETGD at the University of Twente. In contrast to other web-controlled receivers, this receiver can be tuned by multiple users simultaneously, thanks to the use of Software-Defined Radio.",0,None,3,Fri Sep 05 2014 01:15:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10226,/competitions/morse-challenge,10th
/mniininen,Ideas how to improve your score,"Looking at the first 24 hours on this challenge there appears to be two main strategies to improve the score: 1) Improve filtering. In the Python morse.py the low pass filter is 2nd order Butterworth with 40 / Fs/2 bandwidth. Fs = samplerate is 8000 Hz. By making the filter more narrow you will get less noise in the signal envelope and better results for low SNR (-12 dB... 4 dB) audio files. You may also want to try out different type of filters. 2) Eliminate error lines. For low SNR audio files you get many misdecoded ""TTT TTTT TT.."" type lines. Either the ""update_tracking"" timing detection misfires due to noise (you can use the --plot option to see speed estimates over time ) or the PNN (Probabilitic Neural Network) mis-classifies the mark/space pairs. You can probably figure out better strategies to prevent these error lines - they have a huge impact on the Levenshtein score. Any other ideas that you have figured out so far? br Mauri",0,None,23,Fri Sep 05 2014 02:54:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10227,/competitions/morse-challenge,None
/mniininen,How to create more WAV audio files? ,In reddit/r/machinelearning there was a request to provide the scripts so that participants of this challenge can generate more training data. The 3 Octave scripts are posted in Github [Link]:https://github.com/ag1le/morse.py. The scripts I used to generate WAV files are: morse.m addnoise.m generate_morse.m You need to provide a text file name as argument for the generate_morse.m script. It will then generate as many WAV files as you have lines in the text file. There are couple links to websites where you can get random text files if you don't have software to do that yourself.,1,bronze,2,Fri Sep 05 2014 04:30:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10228,/competitions/morse-challenge,None
/harrypotter225816,On benchmark numbers,"Hi, I am wondering whether the data and evaluation metrics used in the following (ALTA suggested) paper are as same as the shared task. We found our cross validation results on training data are quite different from what reported in the paper (i.e., Figure 1). Lingad et al., Location extraction from disaster-related microblogs, WWW 2013 companion, pages 1017-1020",0,None,1,Fri Sep 05 2014 04:43:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10229,/competitions/alta-2014-challenge,4th
/chenglongchen,"Abhishek, I am waiting for your ""Beating the benchmark ;)""",;),3,bronze,13,Fri Sep 05 2014 08:31:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10230,/competitions/afsis-soil-properties,220th
/fulmicoton,Merge accounts,"Hi, I made a mistake with my account. I have two gmail accounts, one for work and one personal. I competed in Yandex challenge uysing my work address in the past, and just started working on Criteo challenge with the other account. Is there a way to merge the accounts to get the achievement? Paul",0,None,7,Fri Sep 05 2014 11:15:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10231,None,None
/pbsciencelab,Training per patient,"Because I saw on the forum of the previous competition that some people train classifiers for each patient, does that mean that you can use the name(not segment) of the file/patient to use a different classifier?",0,None,5,Fri Sep 05 2014 11:36:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10232,/competitions/seizure-prediction,187th
/mlwhiz,Which pre-processing models are you guys using to remove the noise from the data?,I tried removing correlation from the data and first derivative smoothing but not good results.,0,None,8,Fri Sep 05 2014 12:28:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10233,/competitions/afsis-soil-properties,791st
/balazskegl,HEPML workshop at NIPS14,"We are happy to announce that our workshop proposal at NIPS14 (Montreal, Canada) was accepted. Important dates: abstract submission deadline: October 7 workshop date: December 13 If you are interested, please take a look at the web site [Link]:https://sites.google.com/site/hepml14 and especially the call for papers [Link]:https://sites.google.com/site/hepml14/call",4,bronze,17,Fri Sep 05 2014 15:43:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10236,/competitions/higgs-boson,None
/jmannix,Custom algorithms using AMS to optimise the model,"Having tried tuning some of the publicly available gradient boosting solutions for this competition, I wondered whether a custom algorithm designed to optimise AMS would fair any better than the textbook algorithms. To that end, I put together a custom implementation of random forest in C#, which uses the AMS evaluation metric to calculate the best split at each node of the consitutent decision trees. The code appears to work as intended, but so far I haven't been able to get better than ~ AMS 3.3 with it. I therefore thought it would be interesting to share the code and see if anyone else has tried something similar? On the basis of this experiment, it would seem that this approach doesn't give any advantage over the standard metrics for node optimisation. The code is on github at https://github.com/johnmannix/amsrandomforest. I would be interested to hear people's thoughts.",1,bronze,4,Fri Sep 05 2014 16:04:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10237,/competitions/higgs-boson,132nd
/mikejiang,Some help with CV in GBM?,"Hi all, I'm having problems overfitting with GBM. I've been using the following n.tree=gbm.perf(your_model,method=""cv""). I believe it picks the iteration where cv.error is at a minimum. my questions is what's the difference between cv.error and valid.error from the gbm object. I've read the gbm.pdf, I still don't understand it. My interpretation from the manual is: cv.error = cross validated estimate of error valid.error = average of the error from the validation set aren't those two the same? Thanks for any help with this matter. Thx.",0,None,1,Fri Sep 05 2014 17:57:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10238,/competitions/afsis-soil-properties,463rd
/weiguangguan,Confusing result,"I've been using AdaBoost with CART as weak learner. I can easily discard 50% (in weights) background events with very minimum loss of signal events. What confuses me is that I didn't get noticeable improvement by training another ensemble classifier using remaining data with higher signal-to-background ratio.As a result, I have to give up my original plan --- a cascade of ensemble classifiers (like Viola & Jones). Has anyone had similar experience? Will the winners reveal their methods or codes after the competition? I'm really interested to learn their methods.",0,None,4,Fri Sep 05 2014 20:48:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10240,/competitions/higgs-boson,890th
/mniininen,"Many downloads, few participants?",I launched [Link]:https://inclass.kaggle.com/c/morse-challenge on Wednesday. I am seeing 1:8 ratio in challenge participants vs. people who just download the data and sample code but don't join as participants. Is this ratio normal in Kaggle competitions and what can be done to get more people to join and submit their results? Am I missing something as the challenge administrator?,0,None,2,Sat Sep 06 2014 02:30:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10243,None,None
/jeffhebert,Visualize the Leaderboard,"As we near the end of this competition, I pulled the leaderboard data and created a few plots in R. See the attached script if you want to make these yourself. First is a histogram of the current leaderboard results. The dotted blue lines in this histogram are the benchmarks. The random submission file is AMS 0.58477, Simple Window is AMS 1.54451, Naive Bayes is AMS 2.06036, TMVA Boosted trees is AMS 3.24954, and Multiboost is last at AMS 3.34085. It looks like several people uploaded the random submission file and stopped there. Also, the Naive Bayes is popular. I am surprised at the number of people who achieved AMS 3.6. This timeline is interesting. This shows the AMS score vs. the date of the last submission that was an improvement over previous models. If that seems like mental gymnastics, that is because it is. Anyway, there are still quite a few people who are actively improving their models. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53219/1512/higgs_leaderboard_script_Hebert.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53219/1513/higgs_current_lb_20140905.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53219/1514/higgs_ams_trend_20140905.jpeg",6,silver,3,Sat Sep 06 2014 03:39:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10244,/competitions/higgs-boson,282nd
/maineiac,How did people deal with imbalance?,"I know there is another forum post with solutions, but I'm wondering more specifically how people dealt with the very small number of fire losses during training. From my end, I ensembled a bunch of models (gbms, random forests, mars, lasso), each of which was trained on all fire losses along with a random selection of somewhere between 5-10X no fire loss instances. Other times I upsampled the fire losses 3X (for some gbms and random forests). I'm not sure in the end if either of these approaches were the right ones to make with such a huge imbalance.",0,None,1,Sat Sep 06 2014 10:07:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10245,/competitions/liberty-mutual-fire-peril,119th
/lalitapatel,Comparing various algorithms,"I failed to finish the use of R & randomForest, due to time and resource constraints. I then used DataMiningFox software from http://www.easydatamining.com/en/. The resultant csv got a score of only 1.22. Perhaps, this implies a poor algorithm of DataMiningFox. This information may be useful while comparing various algorithms.",-1,None,3,Sat Sep 06 2014 18:25:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10246,/competitions/higgs-boson,322nd
/ahmedkhattab,Installing Caret in R on Amazon EC2 Ubuntu Instance,"I am trying to install the caret package to use for this competition, however I am having problems using install.packages() because I don't have access to the root directory. What is the easiest way to install the package from the terminal or from R console ?",0,None,1,Sat Sep 06 2014 19:19:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10247,/competitions/higgs-boson,1243rd
/codygreer,Chronological Ordering,"The training data is said to be ordered chronologically. Is the ordering from older to newer, or newer to older? In other words, is the first row of the training set the most recent click or the least recent click?",0,None,2,Sat Sep 06 2014 21:00:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10248,/competitions/criteo-display-ad-challenge,323rd
/theharshest,Taking part in a closed competition,"Hi Admins, How can I take part in a closed competition? I want to take part in ""Facebook Recruiting III - Keyword Extraction"" just to test my skills. But when I click on ""Make a submission"", I get ""This competition is closed to new entrants"". If I cannot take part in it, is there any other way to evaluate my model? Please assist. Thank you",1,bronze,1,Sun Sep 07 2014 00:44:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10249,None,None
/lemonkoala,Anyone else looking for relevent research papers?,"I've been scanning various research papers relevant to this challenge to see if I could get any ideas from them. Though most times I don't understand what I'm looking at. Here's an excerpt of one such study: ...neither P nor lipid content can be predicted by MIRS or NIRS...This is not uncommon as the spectral signatures of many organic fractions overlap even in the MIR, making the detection of specific peaks related to a component difficult. (Source: [Link]:http://www.academia.edu/5240093/Near-and_mid-infrared_spectroscopic_determination_of_algal_composition) So, I guess P really is hard to predict.",8,silver,10,Sun Sep 07 2014 11:23:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10250,/competitions/afsis-soil-properties,622nd
/svashishtha,Logistic regression doubt (Python)?,"Hi First, I would like to tell that I am new to this website and Machine Learning in general. I started working on this problem and now I am stuck with a coding procedure. In our train.csv dataset, I created a header row naming all the variables. I have also included the 'train_label' column as my first column in train.csv and renamed it to 'target'. Then simply without doing any preliminary analysis, I applied a logit model using the first 37 attributes in Python 2.7 (Windows 8) The code is as follows: import pandas as pd import statsmodels.api as sm import numpy as np import pylab as pl df = pd.read('train_modified'.csv) cols_to_keep = df.columns[1:37] logit = sm.Logit( df['target'], df[cols_to_keep]) result = logit.fit() result.summary() So, I got a decent model with all the coefficients for independent variables. Now in my model, I have got a few variables which have a high (P>|z|) value I had read somewhere that if I would have used a back or forward propagation logit model, it automatically removes those variables which are not statistically significant. So, how do I use that method using this statsmodels package? Help please.",0,None,1,Sun Sep 07 2014 17:25:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10251,/competitions/data-science-london-scikit-learn,None
/mmajer,Learning Data Science,"Hi, I would like to learn data science and eventually compete in kaggle competitions. I have some programming knowledge in C/C++ and Java, and calculus and linear algebra knowledge at basic college level. I am also taking Probability and Statistics course this semester and Machine Learning course next year. I came up with a long-term plan which will hopefully introduce me to field of data science. First of all, I am going to learn Python. I choose "" [Link]:http://learnpythonthehardway.org/"" because I have read it is one of the best places to learn Python. I suppose I should also learn modules like numpy, scipy, scikit-learn, pandas. I have found two interesting books: [Link]:http://www.amazon.com/Python-Data-Visualization-Cookbook-Milovanovic/dp/1782163360/ref=sr_1_1?ie=UTF8&qid=undefined&sr=8-1&keywords=python+visualization and [Link]:http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793/ref=sr_1_4?ie=UTF8&qid=1410041021&sr=8-4&keywords=python. Are these books any good or is the documentation for these modules sufficient? Next thing I would like to focus on is Machine Learning. I am going to take Andrew Ng's [Link]:https://www.coursera.org/course/ml as soon as possible. I was thinking about reading [Link]:http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077/ref=sr_1_5?ie=UTF8&qid=1410041554&sr=8-5&keywords=machine+learning and [Link]:http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=sr_1_8?ie=UTF8&qid=1410041554&sr=8-8&keywords=machine+learning but I heard that the first book is little outdated and the second one is more suited towards researchers and is mathematically heavy. Would Andrew Ng's Machine Learning give me enough knowledge to start with kaggle competitions? I would also like to learn R. I have found Johns Hopkins University [Link]:https://www.coursera.org/specialization/jhudatascience/1?utm_medium=listingPage specialisation (I am going to take just the free courses) and [Link]:https://www.coursera.org/course/datasci. It seems like a nice introduction to R and Data Science in general. Lastly, I guess I should also learn SQL. I have found some introductory courses/books but I still have no idea where to start - [Link]:https://www.coursera.org/course/db, [Link]:http://www.amazon.com/Sams-Teach-Yourself-Minutes-Edition/dp/0672336073/ref=sr_1_1?ie=UTF8&qid=1410098384&sr=8-1&keywords=sql or [Link]:http://www.amazon.com/Learning-SQL-Alan-Beaulieu/dp/0596520832/ref=sr_1_2?ie=UTF8&qid=1410098430&sr=8-2&keywords=sql? Or something else? Eventually I would like to look into Hadoop and MongoDB but it is going to take long time before I finish everything above. And here comes my last question. Is my plan feasible or am I missing some ""must read/watch"" books, courses, etc.? Thank you",4,bronze,1,Sun Sep 07 2014 21:55:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10253,None,None
/kevinjos,Electrode name to location mappings,"Hi all, Has any found or could AES/Kaggle provide mappings from the electrode names to the electrode placement on the brain? I cannot find a method to deconvolve the apparently three different naming standards (Dog_1-5, Patient_1 and Patient_2). Patient_1: 16 electrodes named LD_1, ..., LD_8, RD_1, ..., RD_8 Patient_2: 24 electrodes named LGT_01, ..., LGT_24 Dog_1: 16 electrodes named NVC1202_32_002_Ecog_c001, ..., NVC1202_32_002_Ecog_c016 Dog_2: 16 electrodes named NVC0905_22_002_Ecog_c001, ..., NVC0905_22_002_Ecog_c016 Dog_3: 16 electrodes named NVC0906_22_007_Ecog_c001, ..., NVC0906_22_007_Ecog_c016 Dog_4: 16 electrodes named NVC1202_26_003_Ecog_c001, ..., NVC1202_26_003_Ecog_c016 Dog_5: 16 electrodes named NVC0905_22_004_Ecog_c001, ..., NVC0905_22_004_Ecog_c016",0,None,19,Sun Sep 07 2014 23:11:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10254,/competitions/seizure-prediction,231st
/anshul,Magic number 3.60003,Many competitors are on this exact same leaderboard score. Is there any trick that is available to all?,0,None,1,Mon Sep 08 2014 02:20:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10256,/competitions/higgs-boson,474th
/datawalker,Question on approach,"Rather than using a massively computational bag-of-words type approach, I was wondering if anyone was approaching the problem this way: 1) Predict whether the sentence is declarative, imperative, exclamatory or interrogative. 2) Then figure out where the parts of speech are. 3) See if any are missing 4) Use information in 3 to narrow down which word might be missing. I don't think that it would negate the machine learning needed to predict the right word, but it might narrow it down. Could people give feedback on the strengths and weakness of looking at the solution this way?",0,None,5,Mon Sep 08 2014 04:46:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10257,/competitions/billion-word-imputation,None
/verasmith,Difference vector,"I am trying to understand how many element are in the difference vector sigma_xy. Is it the number of distinct features in X and Y taken together? That is, if Alan Turing has 8 distinct features, and Dilly Knox has 7 distinct features, and they share 4 features, then the final vector has 8 + 7 - 4 = 11 elements? Finally-since I looked at your code, and see it is in C++-do you think it is possible to run your algorithm in pure R or python, or will an interpreted language just be too slow?",0,None,4,Mon Sep 08 2014 08:36:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10259,/competitions/learning-social-circles,95th
/julesvanligtenberg,leading zeros in example on evaluation page?,There are no leading zeros before the segment number in the example submission file on the evaluation page. Shouldn't there be?,1,bronze,3,Mon Sep 08 2014 10:53:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10260,/competitions/seizure-prediction,54th
/pbsciencelab,AUC sample submission ,"Still don't understand the AUC calculation or the score completely. My question, the score of .5 for the sample submission, does that mean that the test set is balanced? In other words, are the number of samples in class 0 equal to the number of samples in class 0? Or is my interpretation wrong because the score represents the AUC? Found that random guessing most of the time ends up with a score of .5 So is the test set balanced?",0,None,2,Mon Sep 08 2014 11:55:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10261,/competitions/seizure-prediction,187th
/dlehman,How can the error metric be zero?,"I'm surprised nobody has commented about this yet, but I see that the Leader has an error metric of 0.0000. I know this is mathematically possible, but the only way I can think of getting that result is that someone had the actual test data. Any other possibilities?",1,bronze,3,Mon Sep 08 2014 19:37:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10264,/competitions/bike-sharing-demand,2755th
/mahi83,Regarding Evaluation,"We had two questions regarding the score after you submit your result. Firstly, we wanted to know is what does the score represent in the leader-board. Is it just true positive? the average of all scores or what is it? Secondly, we wanted to know if the weightage of False-Positive and False-Negative is the same or different when calculating your score when submitting the test result. Thank you.",0,None,2,Mon Sep 08 2014 20:35:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10265,/competitions/seizure-prediction,170th
/selfishgene,Starter code to beat the Connected Components Benchmark,"I'm attaching a starter code to beat the connected components benchmark. I should take a few seconds to run, and achieve a score of 4822 on the public leaderboard. it has a few params that can be tuned so you might be able to squeeze some more out of this if you play with it a little.I tried writing useful comments to explain what every couple of lines do. hope this helps some of you. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53365/1518/k_clique_communities.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53365/1519/k_clique_communities.py",10,silver,3,Mon Sep 08 2014 23:28:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10266,/competitions/learning-social-circles,53rd
/kdoniger,Seizure Frequency,"Are the numbers of interictal and preictal data segments indicative of frequency of seizures? For example, Dog_1 has 480 interictal data segments and 24 interictal data segments. Does that mean that Dog_1 has leading seizures about 4.75% of the time? I realize that this is somewhat ambiguous, as it depends on the time units. Can seizures be treated as rare occurrences?",0,None,1,Mon Sep 08 2014 23:31:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10267,/competitions/seizure-prediction,126th
/statisticallearner,overfitting problem,"I converted all the categorical features to numerical quantities according to the average ctr of each feature. Specifically, if a feature has 0.25 ctr, I use 0.25 instead of the original feature. After doing that, the model is overfitted severely. Any comments?",0,None,5,Tue Sep 09 2014 04:13:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10269,/competitions/criteo-display-ad-challenge,144th
/mcvicuna,Questions about the background signal,"Hi, This maybe a little late to get an answer before the end of the contest but I am hoping I may. Reading the documentation I had some questions about section 3.3 in the paragraph it talks about the background included in the contest. The 3rd set of data which is from the W boson. Is set of data only from W boson produced from the proton collisions or any W boson decay? The 2nd set of data from the top quark pairs. Is the background data from when one quark decays to a W boson and then decays to a tau and the other quark decays to a W boson and then has to decay to electron or muon or is it any combination of the tau,electron, muon combinations from the W boson decay? Thanks, Mark.",0,None,2,Tue Sep 09 2014 04:48:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10270,/competitions/higgs-boson,809th
/sayan21,Count Data is Negative!!!,"Hi, Is the feature I3 a count Data or something else? It has values as -1, what does that mean?",0,None,1,Tue Sep 09 2014 07:49:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10271,/competitions/criteo-display-ad-challenge,372nd
/lmackey,An approach to optimizing AMS,"Hi Kagglers, My teammate and I have an approach to optimizing AMS that we'd like to share with the community. Here's a short note motivating the technique: [Link]:http://arxiv.org/abs/1409.2655 Please let me know if you find the approach to be valuable, Lester",8,silver,8,Tue Sep 09 2014 11:52:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10272,/competitions/higgs-boson,461st
/matthiasd,'Technical Artefacts' in some channels and data files for patient 1 ?,"At least for the preictal datsets I see in some files some strange artefacts. I added a file with a screenshot. Can I get a conformation, that there are some strange artefacts ? A further option is, that something went wrong during a data conversion, which I performed. Since in most files everything looks fine, this explanation does not seem to have a high probability to me. Thank you, Matthias [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53385/1520/patient1artefacts.png",1,bronze,14,Tue Sep 09 2014 13:57:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10274,/competitions/seizure-prediction,357th
/curiousred,Parsing the features,"I did a small parser for the features in Java. The only none standard library I am using is org.apache.commons.lang3.StringUtils. The program takes two arguments: The path to the testSet_users_friends.csv file and the path to the features.txt file. the feature of a user is encoded in a classe Feature that contains: user: the id of the user. name: the name of the feature. length: the depth of the feature name (ex: education;type has depth=2). value: the value of the feature for this user. The program is just a test program that generates an ArrayList<Integer> called testUsers that contains all the testUsers. Also, just for illustration, it generates per testUser two HashMap<Integer, ArrayList<Feature>> called egoFeaturesMap and egoNetFeaturesMap. egoFeaturesMap has one entry in the map with key the egoTestUser which is mapped to the list of the ego's features (as modeled by Feature). egoNetFeaturesMap maps all the members of the egoNet to its features. I am not sure to be able to submit something smart before the end of the competition. So I hope this small program helps you do so. Any feedback is welcome. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53405/1522/FeaturesParsing.java",1,bronze,4,Tue Sep 09 2014 22:21:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10277,/competitions/learning-social-circles,134th
/drninjabatman,Checksums of data files,"I just started the callenge and tried downloading the train data there (my local internet connection is crap) but I get just 2.2GB, while I think it was supposed to be 3.5GB. Could someone post md5 sums for each data file? Thanx",0,None,2,Tue Sep 09 2014 22:26:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10278,/competitions/criteo-display-ad-challenge,None
/tpgillam,Leaderboard vs final ranking clarification,"Dear organisers, Our team would like to clarify the (possibly ambiguous) wording atop the public leaderboard: The final results will be based on the other 82%, so the final standings may be different. Is the final ranking based on only the other 82%, or on the 82% and the 18%? The former is of course preferable in principle, since it prevents any gains made possible by 'overtraining to the leaderboard' propagating in any way to the final result. Many thanks.",0,None,2,Wed Sep 10 2014 02:04:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10280,/competitions/higgs-boson,477th
/chandanmaruthi,Question on the Training Data \ Circles Files,I have a question on the training data. Each circles file name has a user.circles file naming convention and the file contains circlesid: userid. What is the relationship between the user in the file name and the circles?,0,None,4,Wed Sep 10 2014 07:56:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10281,/competitions/learning-social-circles,None
/tidom17233,Availability of decomposed evaluation metric,It would be nice if we could have the RMSE value for each of the 5 variables to be predicted on the leaderboard -- without changing the way of the final evaluation of the challenge. Is it possible for the admins to make 5 extra columns on the leaderboard ?,0,None,10,Wed Sep 10 2014 11:55:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10283,/competitions/afsis-soil-properties,889th
/tqchen,Customize Loss Function in XGBoost,"I saw a lot of discussions about customizing loss function for this dataset. Personally I think this might not be helpful since AMS is very unstable. However, I am interested to see the results for who want to try it out. It is very easy to customize loss function in xgboost. See example code in https://github.com/tqchen/xgboost/tree/master/demo . Look for customize loss function. You only need to define gradient over your prediction. Second order gradient over the prediction(or simply set it as constant if you want first order gradient boosting.",7,None,28,Wed Sep 10 2014 19:48:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10286,/competitions/higgs-boson,45th
/vman049,Train with testing data?,"Sorry, maybe I'm missing something, but I couldn't find anywhere whether it is alright or not to train and predict on the testing data. Is the testing data that is posted the actual data on which we will be evaluated? If so, for the purpose of the competition, wouldn't it be best just to overfit this data for high in-sample predictive performance? Edit: Never mind, I just realized the testing data doesn't have the responses, so my question doesn't make any sense. :)",0,None,5,Wed Sep 10 2014 20:11:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10287,/competitions/afsis-soil-properties,901st
/nigel2,Using SPSS,"Hey everybody, I'm new to Kaggle, and like to practice with this Titanic exercise. Problem I need to solve (before I can solve this one), is that I use SPSS, but I don't see any datasets for it here. How can I use SPSS for this exercise? Thanks in advance!",0,None,1,Thu Sep 11 2014 00:28:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10290,/competitions/titanic,None
/shijiabian,"Need a team in Durham/Chapel Hill, NC","Dear all, I am a first-year master student in Statistics at Duke. I really want to start the Kaggle competition with one or two team members. Is there anyone around this area want to start with me? Please feel free to rely this forum, or you can email me at shijia.bian@duke.edu. Thank you so much. Best regards.",0,None,3,Thu Sep 11 2014 02:34:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10291,None,None
/jonnyboats,Story in The NavyMARS Daily for #hamradio,The story has been picked up here: [Link]:http://paper.li/NavyMars under the Science section.,1,None,1,Thu Sep 11 2014 03:23:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10292,/competitions/morse-challenge,None
/saahilshenoy0,Location of Data,Would anybody happen to know which utility or where this data actually comes from?,1,None,1,Thu Sep 11 2014 03:28:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10293,/competitions/global-energy-forecasting-competition-2012-load-forecasting,None
/yesbutwhatdoesitmean,Has anyone had luck with LDA in vw? ,"I keep running it with different learning params, but it just gets stuck at several 100,000 samples and doesn't update the likelihoods for hours. Has anyone had luck with it? Any suggestions for a place to start? I started out with the reference materials here: https://github.com/JohnLangford/vowpal_wabbit/wiki/Latent-Dirichlet-Allocation",1,bronze,3,Thu Sep 11 2014 04:19:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10294,/competitions/criteo-display-ad-challenge,396th
/yankov,"Python, scikit, pandas and very large datasets","Some competitions like ""Seizure prediction"" have very large datasets (tens of gigs). Any of you python people participate there? Is it even worth trying to go there with toolkits like scikit/pandas or a completely different approach is required? I understand that I can split dataset, find a model using a small piece, then use incremental learning to train on the entire dataset. But only some algorithms support incremental learning and I'd think it still will take forever to train.",11,bronze,12,Thu Sep 11 2014 07:14:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10295,None,None
/ralphk,First submission deadline,"What is the reason behind the ""first submission deadline""? Why am I forced to submit preliminary data one week before the deadline on September 15?",0,None,2,Thu Sep 11 2014 23:49:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10300,/competitions/higgs-boson,None
/ethanlusterman,"Data compromised, new data has been uploaded","Please redownload data. New data (training.csv, testing.csv) uploaded as of 8pm Thu 9/11.",0,None,1,Fri Sep 12 2014 02:03:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10301,/competitions/makeene-learn-the-forests,None
/munichong,predict_proba outputs binary prediction,"I am using predict_proba of SGDClassifier in sklearn package. However, the output of predicting each test example is like [ [1, 0] ] or [ [0, 1] ]. It looks more like prediction, not probability. It also throws out a warning about ""numpy exp overflow"". The warning occurs in the predict_proba function. Does anyone know why? Is it because the training data is unbalanced? EDIT: The code in detail is here: http://stackoverflow.com/questions/25809440/sklearn-sgdclassifier-output-predict-proba-as-binary-prediction?noredirect=1#comment40376272_25809440",0,None,6,Fri Sep 12 2014 03:12:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10302,/competitions/criteo-display-ad-challenge,None
/soil1682,What is the AUC you guys generally get?,"Hi, Guys, Did you check the AUC? If so, what is it in general? Thanks! Soil",3,bronze,20,Fri Sep 12 2014 06:32:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10303,/competitions/higgs-boson,None
/shivangichoudhary,how do i know how much i have scored?,I cant find the team name on the leaderboard. i have made a submission an hour back.where else can I check my score ?,0,None,1,Fri Sep 12 2014 06:53:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10304,/competitions/criteo-display-ad-challenge,711th
/antonioibm, Error message when downloading some tweets ,"There are 59 tweets in the training data and 28 tweets in the test set that we cannot obtain from twitter when using the script getTweetByID.sh. We can see the following error message in the html page: ""Sorry, you are not authorized to see this status."" We tried as well to obtain the tweets manually and we get the same error. You can find the list of ids attached to this message for the training and test sets. Is this expected? Thank you in advance, Antonio [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53543/1531/null-content-train [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53543/1532/null-content-test",0,None,3,Fri Sep 12 2014 07:49:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10305,/competitions/alta-2014-challenge,None
/ankitj,Log of Target Variable Ca,"Hello, I tried predicting Ca by adding a constant number to the dataset and taking a log10. The cv error (rmse) reduces drastically through this. I used the fitted model to predict data on the test set. I took antilog of the result and subtracted the constant. However, my leaderboard score dropped due to this. Can somebody please help and explain where am I going wrong with this. Thanks.",3,bronze,3,Fri Sep 12 2014 19:55:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10307,/competitions/afsis-soil-properties,653rd
/jeradrose,Intro + Forum Updates,"Greetings Kagglers! I'm the new guy working behind the scenes on the Kaggle site/competitions/forums, and with the updates we just released, I thought this may be a good opportunity to poke my head in and introduce myself. I joined this awesome team three months ago, and one of my first big integrations (outside of small tweaks/bug fixes) was the SMS integration that we launched last month. My next larger integration, as you have already seen, is with the forums -- and we've changed quite a bit! The first thing we've added is forum up/down voting. This has replaced the previous ""thanks"" integration, and we actually migrated that data into the new voting integration. Our goal behind this is to put a bit more emphasis on the value of your content, and help highlight some of the more interesting and relevant discussions. And unlike ""thanks"" before, your votes are anonymous. The second change is a bit of a face-lift to the thread page. Most of these changes are obvious, but our main goal in these changes was to bring a more minimalist appearance to the forums, and bring more of a focus to the content of the post. I look forward to working with the great Kaggle community! We hope you guys like the changes, and feel free to post any feedback and other thoughts you have. I'll hang out to answer any questions you may have.",11,gold,26,Fri Sep 12 2014 21:09:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10308,None,None
/maineiac,Use of targets as features for other targets?,"It seems that the spirit of this competition is to try and find a cheap way of measuring soil composition through spectroscopy and (possibly) geospatial data. However, it is also clear in examining the training data that some of the target variables correlate with each other, thus using them as features might make sense (acknowledging, of course, that they'd need to be calculated appropriately to be used as features during testing). The description of how the data was generated, however, makes it clear that the target values (i.e., the 'reference measurements') are very expensive to attain. As such, it seems to go against the goals of what the organizers had in mind to use the target values as features during training. So, the simple question: Should target values be used as features or not? Anything official from the competition administrators on this?",0,None,4,Sat Sep 13 2014 00:00:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10309,/competitions/afsis-soil-properties,635th
/zhongxiaolong,Downloading the data,"Hi everyone: I want to download the data to my school's HPC, because my own laptop does not have such large memory to deal with GB data. I am new to unix, so I tried some simple command like lynx, wget and curl, noting works. I have tried some method decribed in: http://www.kaggle.com/c/belkin-energy-disaggregation-competition/forums/t/5118/downloading-data-via-wget/49609 Still not work. I constantly get the download url www.kaggle.com/account/login?Returnurl=%2fc%2fseizure-prediction%2fdownload%2fDog_1.tar.gz I guess maybe this is a login problem, that is, I have not correctly logined. Is there any possible solution? Best Regards,",0,None,7,Sat Sep 13 2014 04:17:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10311,/competitions/seizure-prediction,None
/elliotdawson,Getting Started Code by Elliot Dawson,"Hey guys,So I noticed that roughly 33% of the leaderboard consists of people who have yet to beat the random benchmark of 0.5 and thought that since these people have made the effort to download the considerably large dataset I would lend a hand in providing some starter code. Not really sure if I'm going to have a great deal of time to work on this competition with my University schedule at the moment and given the positive externality that this competition intends to have I hope that this might provide someone else with a platform to produce a great algorithm.This method achieves a public leaderboard score of around 0.635 and takes about 25 minutes to run using 6 workers in MATLAB (courtesy of the parallel computing toolbox) on a quad core i7 processor. My machine has 16GB of RAM and didn't have any memory issues when running the code. Having said that I'm unsure of how an 8GB RAM machine might cope. At the moment this approach works as follows:- For each subject clip calculate : The variance of each channel as well as the correlation coefficient between each channel- Take these values and use them as your predictor matrix- For each subject train a decision tree using MATLAB's treeBagger with 1000 trees using the subjects' respective predictor matrix calculated from the clips- Predict on each subjects' test data using their respective trained decision tree Just run BenchmarkCode once you've added FeatureEngineer2.m to the path and changed the directories from where to write and read the data to and from.On a separate note I used the 'table' data type to import the sample submission and to write the resulting submission to file which I believe was only introduced in MATLAB version 2013b but of course you can modify the code to write the result however you like :) Let me know if you're having any issues with the code. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53617/1535/BenchmarkCode.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53617/1536/FeatureEngineer2.m",26,gold,23,Sat Sep 13 2014 09:21:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10312,/competitions/seizure-prediction,46th
/soil1682,"I got over hundred AMS, where is wrong?","Hi, Guys, After training the model, I started optimize the selection cut, what I got is like this 1. if use equal weight 1 for all events, I got maximal AMS from 100 to 260, depending on how I split the whole training data into train / test, and I am using test part (not the test data set) to optimize the selection cut, then I use this select cut to determine the label for test data set, after calculate the score 2. if use the given weight, I got maximal AMS only 2.58 from the training's test part I saw the best result AMS is over 3.85, I am very curious how you guys optimize the selection cut? I noticed that, the optimized selection cut is pretty stable, if I optimize AMS I always got about 0.44 (in my score), but if I optimize the statistical significance, it is about 0.23 - about the same number if I choose to optimize AMS with equal weight. My classification model performance can not be too bad, I would guess either the weight for the test data set is significantly different from the training data set, or you guys find a very good optimization criteria. I wanted submit my result, unfortunately, I could not, because I found this contest just yesterday afternoon, and it passed the first time submission deadline which does not make any sense to me. I checked the Python Evaluation code, it seems there is weight file for the test data set, but it is not provided. Any comments? Thanks guys! Best regards, Soil",1,bronze,2,Sat Sep 13 2014 09:29:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10313,/competitions/higgs-boson,None
/raisingspirit,Maybe you want to use this variable,"Hi, im not even close in the leaderboard but I found a sintetic variable that may improve your actual models, for me it becomes the 3rd more important variable in boosting and bagging. complete$Special <- complete$DER_mass_MMC*complete$DER_pt_ratio_lep_tau/(complete$DER_sum_pt+0.0000001) Hope it help someone improve it's model :)",4,bronze,18,Sat Sep 13 2014 10:26:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10314,/competitions/higgs-boson,948th
/robo127240,Submission score of MCRMSE,"I assume that the overall MCRMSE value [Link]:https://www.kaggle.com/c/afsis-soil-properties/details/evaluation is highly influenced by the largest value range like pH. The problem is, you can have a perfect fit in all others and then pH is killing your MCRMSE score.So lack of knowledge which of the 5 properties is the one with the highest error, does not support the overall optimization process. A) I think a overall scoring would be more practical for use and all the participants (Note: the organizer has the details from the submission file) if a relative or scaled error per property (Ca, P, pH, SOC, and Sand) is used for the average. B) Or is it possible to give additional feedback which one of the 5 properties was the one with the highest impact to the MCRMSE. This way, the participants know where to invest further optimization! I think this would be a clear improvement for all.Better motivation and target for the participants and the better models for the organizer! What do you think, am I wrong or missing something?",-3,None,2,Sat Sep 13 2014 14:53:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10315,/competitions/afsis-soil-properties,728th
/del=d155c48030c5d3bf,.mat to .csv,Is there a way to convert the .mat files to .csv files? I am not using matlab so I can't read the data.,1,None,20,Sat Sep 13 2014 15:07:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10319,/competitions/seizure-prediction,None
/breakfastpirate,Quantifying Leaderboard Shake-up,"In an effort to quantify the ""leaderboard shake-up"" that occurs when the private leaderboard is revealed, I proposed the following measure during the Liberty Mutual contest: shake-up = mean[abs(private_rank - public_rank) / number_of_teams] Below, shake-up is calculated for a variety of past competitions. Given this metric, any predictions on where the Higgs Boson competition will fall along the shake-up spectrum? Competition Shake-up Shake-up (Top 10%)See Click Predict Fix 0.004 0.005Genentech 0.006 0.000Walmart 0.007 0.006Yelp 0.007 0.007Greek Media 0.009 0.008Heritage Health 0.012 0.015Avito 0.013 0.009Expedia 0.013 0.001Deloitte 0.016 0.027Amazon 0.016 0.012Upenn Seizure 0.019 0.019Acquire Valued Shoppers 0.023 0.011PAKDD Asus 0.036 0.016Loan Default (Imperial) 0.065 0.012Liberty Mutual 0.073 0.077Allstate 0.076 0.023DonorsChoose.org 0.078 0.066Decoding Human Brain 0.092 0.101Stumbleupon 0.095 0.184MLSP2014 Schizophrenia 0.240 0.385Big Data Combine 0.300 0.592",10,silver,9,Sat Sep 13 2014 15:23:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10320,/competitions/higgs-boson,242nd
/ggglhf,Beat the benchmark with less then 200MB of memory.,"Dear fellow Kagglers, there are only ten more days left of this wonderful competition. I would like to share one of my implementation of the online logistic regression that uses both the feature hash trick heuristic and an adaptive learning rate heuristic (I have added detail comments in the code). The code is around 100 lines of python that only uses out of the box modules and it is compatible with both python2 and python3. If you don't change any of the parameters, it is able to beat the benchmark with less than 200MB of memory usage, and it takes about 30 minutes to train on my machine. Hope this will help people who still want to try this competition and are having hardware limitations. Cheers. UPDATE (03:05 Sunday, 21 September 2014 UTC) My hashing method has a very bad collision rate, you may want to switch to other hash functions. As Triskelion suggested, murmurhash may be a good choice. UPDATE Some reference: [Link]:http://people.csail.mit.edu/romer/papers/TISTRespPredAds.pdf [Link]:http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41159.pdf [Link]:https://github.com/JohnLangford/vowpal_wabbit/ [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53646/1539/fast_solution.py",113,gold,83,Sat Sep 13 2014 17:58:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10322,/competitions/criteo-display-ad-challenge,5th
/lalitapatel,What is there iun a name?,"While passionately participating in Kaggle Challenges and Forums, I have enjoyed noticing some amusing user-names and team-names, such as: :C:E:M:E:N:T: :M:I:X:E:R:",2,bronze,1,Sat Sep 13 2014 19:17:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10323,None,None
/cotton,are adjacent segments from the same hour?,"Pre- and inter-ictal 10m segments are not labelled with the hour they came from. Are adjacent segments in the default numbering from the same hour? That is, if preictal_0032 is segment 4 and preictal_0033 is segment 5, are they actually adjacent in time?",0,None,6,Sat Sep 13 2014 19:30:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10324,/competitions/seizure-prediction,81st
/droussea,Fact sheet and software submission instructions ,"It is great to see such flurry of activity both in submissions and on the forum, just two days before the end of the challenge (11:59PM UTC monday 15th September). Meanwhile, we are preparing the post-challenge verification: the [Link]:http://higgsml.lal.in2p3.fr/software/software-guidelines/ page has been slightly updated we have now a very detailed [Link]:https://github.com/sbinet/hml, providing instructions and even scripts to package your software correctly and a [Link]:https://docs.google.com/spreadsheet/viewform?fromEmail=true&formkey=dHJFejdkU3lRd3daN3gyS0djZkRBbEE6MA is ready to be filled, so that you can provide detailed information on your model and software The fact sheet and software submission will remain open till 29th September. It can be done already now (there might be some rough edges, we are eager to help and improve). Filling the fact sheet and submitting the software is mandatory for the winners (first three on the private leaderboard to be disclosed at the end of the challenge), and any one competing for the [Link]:http://higgsml.lal.in2p3.fr/prizes-and-award/award/ prize. We recommend other participants to fill the fact sheet (even without packaging the software), to provide us feedback and statistics. Please use the forum (e.g. answer this post) for any enquiry about the fact sheet and software packaging. The organizers",4,bronze,15,Sat Sep 13 2014 23:32:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10325,/competitions/higgs-boson,None
/markus123,AMS approximation only of order O(s/b)?,"Hi all, The technical document on page 10 states that the AMS2 is equal to AMS3 times square root of 1+O((s/b)^3). I believe it is only AMS3 time square root of 1+O(s/b), so the order is only 1 not 3. Any view on this?",1,bronze,1,Sun Sep 14 2014 16:00:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10326,/competitions/higgs-boson,439th
/barisumog,"Anyone aiming for the ""HEP meets ML"" award ?","According to the site, [Link]:http://higgsml.lal.in2p3.fr/prizes-and-award/award/ includes ""running on a regular modern laptop, one minute for training and one millisecond to classify each entry, using less than one GB memory"". I was wondering what the AMS looks like (on public LB, of course) for those complying with these constraints. I'm close to the RAM constraint, but training takes around 10 minutes, so I probably won't be uploading a model for this. Anyone who'd like to share where they stand?",1,bronze,12,Sun Sep 14 2014 19:36:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10328,/competitions/higgs-boson,792nd
/floringogianu,ERROR: `convert` has no method matching,"Hi there, When trying to run rf_julia_benchmark.jl I get this: ERROR: `convert` has no method matching convert(::Type{RGB4{Float32}}, ::RGB4{UfixedBase{Uint8,8}}) in copy! at abstractarray.jl:149 in convert at array.jl:219 in float32 at /Users/florin/.julia/v0.4/Images/src/map.jl:484 in read_data at /Users/florin/.../julia/kaggle/source-code-files/rf_julia_benchmark.jl:24 in include at /usr/local/Cellar/julia/HEAD/lib/julia/sys.dylib in include_from_node1 at /usr/local/Cellar/julia/HEAD/lib/julia/sys.dylibwhile loading /Users/florin/.../julia/kaggle/source-code-files/rf_julia_benchmark.jl, in expression starting on line 48 I am on osX 10.9.2, julia installed with homebrew from the latest dev version on github. (Version 0.4.0-dev+598) . With the stable 0.3 version is not working either, I get the same error. It seems a problem with the Image dependency, but I can't figure out what the issue is. Thanks!",2,None,5,Mon Sep 15 2014 10:08:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10330,/competitions/street-view-getting-started-with-julia,None
/rudikruger,Data question,"I noticed every target in the training set is one word containing 20 characters - there are no word boundaries. Is this correct? If so, is this also true for the test set, i.e. every prediction we need to make is one word containing 20 characters?",0,None,4,Mon Sep 15 2014 11:07:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10331,/competitions/morse-challenge,None
/manishkk,Need a team,"Hello All I am from Computer Science background, today I started some projects & planning for some more, so now i think, I should join any team. if any one interested can contact to me. I am also looking team mate for these projects: Titanic: Machine Learning from Disasterhttps://www.kaggle.com/c/titanic-gettingStarted Facial Keypoints Detectionhttps://www.kaggle.com/c/facial-keypoints-detection Digit Recognizerhttps://www.kaggle.com/c/digit-recognizer Morse Learning Machine - v1https://inclass.kaggle.com/c/morse-challenge Predict Repeat Restaurant Bookingshttps://inclass.kaggle.com/c/predict-repeat-restaurant-bookings Predict Movie Ratingshttps://inclass.kaggle.com/c/predict-movie-ratings if you are interested please contact me on: 1991manish.kumar@gmail.com Thanks",0,None,3,Mon Sep 15 2014 13:05:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10332,None,None
/ajbitt,Unexpected column error,"I'm getting the following error when making my submission. I'm using the standard header contained in the ""test.csv"" file plus a column for the ""survived prediction."" Has anyone else had this problem? Column 'Pclass' was not expected (Line 1, Column 13)Column 'Name' was not expected (Line 1, Column 20)Column 'Sex' was not expected (Line 1, Column 25)Column 'Age' was not expected (Line 1, Column 29)Column 'SibSp' was not expected (Line 1, Column 33)Column 'Parch' was not expected (Line 1, Column 39)Column 'Ticket' was not expected (Line 1, Column 45)Column 'Fare' was not expected (Line 1, Column 52)Column 'Cabin' was not expected (Line 1, Column 57)Column 'Embarked' was not expected (Line 1, Column 63)Column 'Survived Prediction' was not expected (Line 1, Column 72)Error limit reached. Further Error messages will be suppressed (Line 1, Column 72)",0,None,1,Mon Sep 15 2014 15:24:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10333,/competitions/titanic,None
/binghsu,XGBoost Post Competition Survey,"Dear all, The competition is near the end. Hope everyone enjoy it. Thanks to all first. Tianqi is traveling. I will have a trip too. So I post it a little earlier. Here I represent him to post his letter. Tianqi Chen wroteI am traveling today and it is unfortunate that I may be unable to witness the moment the results reveals of this great competition. As an author of XGBoost, I am always curious to learn from users who use XGBoost for this competition. Since the post of the benchmark script, a great amount of users have gone far beyond the result of benchmark script :) Please share your ideas, e.g. how do you solve the problem, what do youlike about the toolkit, and what can be improved in the future:) We will plan to create list pointing to resources(blogpost, code) using XGBoost to solve the higgs challenge, please send a pull request or let us know if you have things that can we added:) Thanks for using xgboost!Tianqi & Bing & Tong",13,silver,38,Mon Sep 15 2014 17:29:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10335,/competitions/higgs-boson,69th
/mikeskim,money matches in H2H data science,"It seems like money matches on the outcome of Kaggle competitions is legal. http://kotaku.com/5392538/i-can-kick-your-butt-wanna-bet ""If it is truly a game of skill,"" says Prof. Rose, ""it is not gambling. And if participants are merely betting on themselves — more of an entry fee than a wager — it would not fall under any federal law."" According to Prof. Rose, those ""bets"" players are putting on themselves could legally be considered ""an entry fee."" Side bets would not fall under federal law either as federal gambling laws do not apply to patrons of bookies. In short: Federal gambling law applies to those who are making money off the act of gambling and not simple wagering on games of skill. So are money matches okay between Kaggle competitors?",0,None,1,Tue Sep 16 2014 00:46:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10337,None,None
/triskelion,Last-Minute Approach Sharing,"Hope everyone had a great time with this challenge! We dropped a few places on private leaderboard, but that was mostly due to our final submission selection. A thing I would like to discuss and get feedback on, so we may improve on this is last-minute approach sharing (then it won't lead to heated discussions in future competitions, since this seems to become a trend). No sharing after submission deadline An unwritten rule/gentleman's agreement for now, but could probably use more official definition (if the community agrees). While some may not realize it, some, including me, consider it to be poor form and needlessly disruptive. Do realize that even last-minute hunches or mentioning things that didn't work for you, can void the hard work of competitors who found this out themselves. Special care for this is needed in no-sharing competitions. No self-hosting Purely from a competitive angle, if you were a bad actor trying to sabotage the competition, you could upload a file, then change this file after some downloads. Share code or files on the forums. Updating code at your own hosting is fine, but the initial file/model/code needs to become canonical, and it can't be when its self-hosted by a competitor and linked. Not all hosting may be stable, resulting in some competitors losing access, after bandwidth limit is reached or weak hosting is DDOSed. Also avoids giving people access to data who did not accept the rules (which is part of the rules: ""Participants agree to use suitable measures to prevent persons who have not formally agreed to these Competition Rules from gaining access to the Data""). Replicability If you share something, make sure that others can replicate this. Sharing variables without code to replicate is a slippery slope (and bad for science). Just as much as Cake variables are derived variables, so can model predictions be considered derived variables. Both hold predictive power (and competitors have no way to verify which is which). A bad actor could upload variables made with external data, from model output, or just the result of a pseudo-random number generator where only he/she knows the seed. This would invalidate all submissions using these variables. Announce Sharing on the Forums For this competition and other competitions I noticed that people create screencasts and Github code that shares insights, code and results, but is not announced on the forums (no AMS above 3.6 though). Competitors shouldn't have to search Github for Kaggle competition code. This code is also ambiguous: It is shared with everyone? Or is it sharing outside of teams? Is it ok to use? Or might that competitor be disqualified and with that your model too?",21,gold,30,Tue Sep 16 2014 02:21:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10338,/competitions/higgs-boson,60th
/apophenia,Anything wrong with Δ1w?,"The last time I checked LB, my ranking is around 150. My final ranking is now 69th, but Δ1w shows that I dropped 14 positions. How is it possible...",0,None,2,Tue Sep 16 2014 02:31:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10340,/competitions/higgs-boson,67th
/davenovelli,Anyone hit .80 with scikit-learn?,"6 weeks of consistent effort and I can't beat .79. It's become my white whale. No matter what I do I appear to be overfitting (whatever validation techniques I use, my model looks good but my submission score is always .03 to .1 point lower). I could write 20 pages on what I've tried so far, but I doubt that would garner any feedback. I've tried: several models, hyperparameter optimization, learning curves, feature importance analysis, clustering, dimensionality reduction, undersampling for balanced class representation, etc... I am unaware of any significant concepts in machine learning that apply to this data set that I haven't investigated while trying to break the .80 barrier. To anyone who's broken .80 with sklearn - what model did you use and how do you validate your model before submitting? Are your validation and submission scores close? How did you optimize your feature set? Thanks for any suggestions, and if anyone is interested in taking a look at the considerable code base I've amassed it's all on github. Captain Ahab",2,None,13,Tue Sep 16 2014 02:32:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10341,/competitions/titanic,None
/hetong007,Big differences between Public and Private Leaderboard ,"It is interesting that some of my submissions shows huge differences on the public and private leaderboard. Here are some of the result Public Private3.62520 3.72974 3.62399 3.72973 3.63050 3.72934 3.61932 3.72771 3.60454 3.72762 3.63238 3.72679 3.67181 3.72390 Although it is true that the public board only reflects a small portion of test data, this result is misleading to me. It is also interesting that most of these 'controdicting' results are generated by stacking(ensemble) from many xgboost single models. Here are some thoughts: It is widely accepted in the forum that AMS is unstable so I am not trusting the AMS result from cross-validation AUC is more stable but is not the same as AMS. I am worried about relying on the AUC result from cross-validation is not the best strategy for this competition. Considering 1 and 2, the public leaderboard natually becomes the most trustful score during the competition. From the result, I think stacking( or averaging, bagging, or whatever you like to call it) is one of the best ways to control the variance. Since xgboost is popular in this competition, I would like to ask if anybody has the same obsevation? P.S. It is my bad that I mistakenly submitted a wrong result for the last submission, or it will be 3.74948 and 3.75543 on the public and private leaderboard respectively. This is gained from averaging some of our top submissions, which shows again the power of averaging.",0,None,17,Tue Sep 16 2014 03:43:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10346,/competitions/higgs-boson,45th
/neilsummers,Feature Request for Private Leaderboard,"While the delta 1w is useful on the public leaderboard, it might make more sense to see a delta private/public leaderboard when viewing the final private leaderboard, since this is the shift we most care about when we see the private leaderboard. What do others think?",15,gold,2,Tue Sep 16 2014 08:27:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10348,None,None
/balazskegl,End of competition - thanks and congratulations,"Dear participants, Congratulations to everyone who participated in the Higgs ML Challenge. The challenge is now complete, and the private leaderboard is revealed. We are very happy with the challenge: the sheer number of participants, the excitement it has generated both in the ML and HEP communities, and the excellent results. We would like to thank all participants for their enthusiastic response to the challenge and the Kaggle crew for hosting the challenge and making sure everything went smoothly. We are looking forward to analyzing the results and hearing about your approaches, possibly during the [Link]:https://sites.google.com/site/hepml14, and beyond. We will work hard in the next two weeks to validate the top three submissions. Overall, the top teams of the private leaderboard has not changed much in the last few weeks. In particular, the three top teams have been around the top for months and we are keenly interested in learning their approaches. Please consider filling out the [Link]:https://docs.google.com/spreadsheet/viewform?formkey=dHJFejdkU3lRd3daN3gyS0djZkRBbEE6MA, it would greatly help us to draw post-challenge conclusions. In addition, if you would like to participate in the “HEP meets ML” award, please don’t forget to package your software according to the [Link]:https://higgsml.lal.in2p3.fr/software/software-guidelines The HiggsML organizers: Clair Adam BourdariosGlen Cowan [Link]:https://www.kaggle.com/users/182144/cecilegermain [Link]:https://www.kaggle.com/users/381/isabelle [Link]:https://www.kaggle.com/users/167193/balazs-kegl [Link]:https://www.kaggle.com/users/175907/david-rousseau",11,gold,9,Tue Sep 16 2014 09:06:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10349,/competitions/higgs-boson,None
/kkumer,How physicists fared?,"When I entered this competition, I thought that my physics knowledgewould give me some advantage. Unfortunately, I had too littletime for competition, so I ended up using only various ML approachesand no (physics- or statistics-motivated) data engineering whatsoever.But in the end, it looks to me that there are not many physicists up the LB.In the first 30, I recognize #9, #26 and #28. Any other? I guess most of the physics knowledge is already used up increating these datasets.",2,bronze,23,Tue Sep 16 2014 12:37:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10350,/competitions/higgs-boson,27th
/abhishek,Beating the Benchmark ;),"Hi Everyone! I'm back with a simple python script to beat the benchmark. The script is attached and is self explainatory! Let me know if you have any further questions. And, please dont forget to ""vote-up""! LB score: 0.43621 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/53972/1551/benchmark.py",116,gold,108,Tue Sep 16 2014 12:43:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10351,/competitions/afsis-soil-properties,7th
/jiweiliu,how to blend/ensemble?,"Congratulations everyone. This is the best competition in terms of sharing benchmarks, ideas and tools. And hope all of these help physicists :) I have a question about blending/ensemble methods in the contest. I tried two things to ensemble my xgb, rf and linear models: 1) voting to get final labels 2) simple averaging of ranks and then take top 15% or whatever threshold to be final 's' But neither of them improves. What's your ensemble method? Many many thanks!",2,bronze,3,Tue Sep 16 2014 14:35:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10354,/competitions/higgs-boson,157th
/anshul,Whitepaper,"Hi Admin, Is it allowed to write white paper on the approach followed for this competition?",2,bronze,4,Tue Sep 16 2014 15:34:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10355,/competitions/liberty-mutual-fire-peril,9th
/pakozm,15 channels in Dog 5,"I'm pre-preocessing dataset and I surprisingly found that Dog 5 has 15 channels,instead of 16. Does someone else found the same issue? thanks!",0,None,2,Tue Sep 16 2014 22:08:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10361,/competitions/seizure-prediction,4th
/tqchen,Call for single model insights,"I know to get a good score, averaging, ensemble is necessary. However, we can learn more from what is the best single model performance we can achieve, and we can get results now from post competition submissions. This will give us much better idea about what features helps, and give guidance for practical models. So I propose interested guys post their solutions using single model(or limited time budget code)",3,bronze,8,Tue Sep 16 2014 22:23:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10363,/competitions/higgs-boson,45th
/fantasticfox,Submission question: what needs to be submitted?,"A question about what one needs to submit in order to win the cash prizes. Do we have to submit just the model that achieved the result, or do we have to submit the training procedure and the code to build the model? Say I have a new way of training neural networks, which I'd like to keep private for IP reasons. I have no problem submitting the trained neural network; but giving up the unique method(s) to train the network seems like a bit much. Any comments?",0,None,1,Tue Sep 16 2014 23:11:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10364,None,None
/jamesmadison,Classification or Regression?,"Sorry if this is a rookie question... Is this a classification problem, or a regression problem? The label in the training data is 0 or 1. But the example submission is a real number between 0 and 1. I can use regression to get the real number output, or a classifier to get the 0 and 1 output. Which is it? Or is the classic answer: both/either, just depends on how you want to approach it.",0,None,6,Wed Sep 17 2014 02:18:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10365,/competitions/criteo-display-ad-challenge,239th
/martinsavc,Solutions,"I understand that this competition is focused on learning Julia and not as much on the actual problem of recognizing symbols. But since the object is learning, would anyone care to discuss the solutions they tested and their successes? I've sticked to KNN and tested simplified HoG features with Eulerian and Angular distance metrics. I've found that using angular distance is a major improvement compared to Eulerian distance. I want to also test hierarchical K-means feature extraction and CNN or similar neural network when I come around to it. I'm also wondering whether a more sophisticated classifier than KNN would benefit the results. What I've learned so far, seems to indicate that there is little to be gained in the way of generalization and the biggest downside of KNN is speed not over fitting.",2,bronze,5,Wed Sep 17 2014 07:07:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10366,/competitions/street-view-getting-started-with-julia,None
/miroslavsabo,Detecting relevant wavenumbers for each target,"As in the [Link]:http://afsiskaggle.qed.ai/ benchmark example, I first differenced all the samples. Then I correlated each wavenumber (3578 in total) with each target (5) and smoothed and plotted the results. If this approach is correct, then we can see that each target correlates with different set of wavenumbers. It also shows the strengths of this patterns. In addition, I also think that identifying the peaks in this plot could be a better approach than just selecting top correlated wavenumbers for each target (since these are often very close together and come from just one peak). The plot also confirms that ""P"" is the least predictable target (as discussed in other topics). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54143/1562/plot.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54143/1563/plot.png",13,gold,3,Wed Sep 17 2014 14:24:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10371,/competitions/afsis-soil-properties,810th
/alexanderkuzmenko,Correlation based smoothing,Has anybody tested the idea to smooth data on the basis of inter-correlation between features. If some feature value is above or below the average correlation between other features we'll smooth it according to smoothing parameters set. The higher the value the more inter-correlation we'll be taken into account. Looks like when we have a lot of features like in this case it we'll help us to smooth some outliers. Is this approach implemented in any library? Especially for Python?,1,bronze,8,Wed Sep 17 2014 15:41:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10374,/competitions/afsis-soil-properties,397th
/sunu3848,read EEG data,"hi i'm new to EEG,may i know how to read this EEG files in matlab.Is there any way other than using EEGLAB.",-2,None,21,Wed Sep 17 2014 19:02:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10375,/competitions/seizure-prediction,41st
/michaelhills,Leaderboard metric ROC AUC,"Hi, I was wondering how the leaderboard metric is being calculated as I'm having trouble getting my local cross-validation scores to at all reflect my leaderboard submissions. I've been doing some reading on ROC AUC and was wondering if the leaderboard calculation is being done using a single ROC curve across all patients or using 7 ROC curves (one per patient) and using a mean/weighted-mean to give the final score. If it's a single ROC curve it sounds like per-patient classifiers might suffer a worse score if the optimal threshold values differ between each per-patient model? E.g. if Dog_1 has an optimal threshold at 0.75 and Dog_2 has an optimal threshold at 0.25, then seemingly the TPR/FPR of each patient will 'fight' each other as the threshold moves, gaining a better score from one patient while gaining a worse score from another. Does this analysis make sense? If so the scoring seem to favour models with similar optimal thresholds or a global classifier rather than arbitrary per-patient classifiers.",17,gold,20,Thu Sep 18 2014 16:49:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10383,/competitions/seizure-prediction,5th
/brjoe10,Class Project - Need Advice,"I am trying to make a college class project out of the competition and am really excited about the competition and language modelling in general. However I'm concerned there will not be enough ""tangible"" material to present. Typical class projects are game playing AI, diabetic tracking apps, data classification, puzzles & games. Should I back up and save this project for later?",0,None,2,Thu Sep 18 2014 16:54:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10384,/competitions/billion-word-imputation,None
/domcastro,Why is it advised to remove CO2?,"Anyone know? ""We suggest you to remove spectra CO2 bands which are in the region m2379.76 to m2352.76, but you do not have to."" from data page",1,bronze,5,Thu Sep 18 2014 23:01:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10385,/competitions/afsis-soil-properties,5th
/abhishek,Another MLSP?,"Hello all, What do you guys think this competition's results are gonna look like? Is this going to be another MLSP? Any guesses on the winning score?",1,None,8,Fri Sep 19 2014 11:58:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10388,/competitions/afsis-soil-properties,7th
/kbisla,My account is blocked because I mistakenly tried verifying with a number already used with another account.,I had used my number once with another account. I tried to verify new account with the same number and it got blocked. I'm in a hurry to get the account unlocked. I already dropped a mail to kaggle but they'll probably take some time to respond. What can I do to get my login unlocked quickly?,-6,None,1,Fri Sep 19 2014 13:13:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10389,None,None
/aspaceo,PCA / Regression Tree Question,"Hey Guys I'm currently building a model to predict subscription renewal, I have a range of numeric variables passing through PCA from which I take 5 components and supply them to a regression tree predicting renewal propensity. The prediction model has a number of categorical variables which are of greater importance than any of the variables passing through the PCA. My question is this, should I be concerned that my regression tree determines that component 5 is more important that component 1, given that component 1 explains ~ 20% of the variance of the original numeric variables and component 5 accounts for just ~ 5%. I feel component 1 must be more important in the model. Am I mistaken? Many thanks!",0,None,2,Fri Sep 19 2014 13:16:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10390,None,None
/chotch,Best Ensemble References?,"I've been looking for good academic papers, a textbook, or any other reference that provides a more advanced discussion of ensembles and I haven't been able to find one. If anyone has found one can you share? I'm looking for something more advanced than the basic ""Random Forest is an ensemble"" information - something that would provide strategies and theory for how to combine the output from multiple, different types of models. Thanks in advance for the help",5,silver,4,Fri Sep 19 2014 14:36:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10391,/competitions/afsis-soil-properties,176th
/harrycohen,Am I misreading temperatures,I don't see any temperatures below zero degrees centigrade in the data set. Am I misreading the data or is global warming coming faster than predicted?,3,None,5,Fri Sep 19 2014 20:31:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10392,/competitions/bike-sharing-demand,None
/sinhayash,Read binary image in Julia?,"How to read binary image file in julia? imread(file) gives following error: ERROR: type: Gray: in T, expected T<:Union(FixedPoint,FloatingPoint), got Type{Bool}",0,None,2,Sat Sep 20 2014 12:08:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10396,/competitions/street-view-getting-started-with-julia,None
/liudll,Should every friend of a User be in a circle?,"I have spent one day to load the egonets to build a igraph Graph object by python. I find that in the training file 239.circles, there are two user ids(329 and 343) disappeared. But, according to the Date description (http://www.kaggle.com/c/learning-social-circles/data) , these two user ids appear in file 239.egonet on the begin of a line,so they are also friends of user 239. So, if the user don't put some of his friend in anyone circle, those friends' ids don't have to appear in the commit file?",0,None,4,Sat Sep 20 2014 16:14:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10397,/competitions/learning-social-circles,156th
/vipulchordia,How to make submission now?,I am developing this project under my research.Kindly provide some link to submit my solution,0,None,5,Sat Sep 20 2014 18:37:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10398,/competitions/msdchallenge,None
/triskelion,Extremely Randomized Trees Benchmark,"Hi, Attached the result of the [Link]:http://www.montefiore.ulg.ac.be/~ernst/uploads/news/id63/extremely-randomized-trees.pdf Benchmark in [Link]:http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html. It trains 2 separate classifiers to predict Angle1 and Angle2. The running time on my laptop is just under 3 minutes (Including 10-fold CV for each model). You may want to play with the parameters (like ""n_estimators"" and ""criterion"") to increase the performance. Happy competition! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54348/1573/kaggle_yaw.py",1,bronze,6,Sat Sep 20 2014 19:23:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10399,/competitions/tut-head-pose-estimation-challenge,6th
/jeffhebert,Kaggle Higgs Classification Challenge Leaderboard Analysis,I just published a brief analysis of the leaderboard data for this competition. I think there are some interesting patterns in the data. Here are a couple of the interesting plots I discussed. [Link]:http://rpubs.com/jeff-hebert/Higgs [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54356/1574/AMS_Shift_vs_Pub_AMS.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54356/1575/Rank_Change_vs AMS_Change.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54356/1576/Rank_Change_vs_AMS_Change.jpeg,8,silver,1,Sat Sep 20 2014 21:46:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10400,/competitions/higgs-boson,282nd
/broham,Cannot import pandas?,"I am moving through [Link]:http://www.kaggle.com/c/titanic-gettingStarted/details/getting-started-with-python-ii, but when I get to the Pandas section and attempt to import pandas using the following code: import pandas as pd it throws the following error: n [14]: import pandas as pdnumpy.dtype has the wrong size, try recompiling---------------------------------------------------------------------------ValueError Traceback (most recent call last)<ipython-input-14-af55e7023913> in <module>()----> 1 import pandas as pd/Library/Python/2.7/site-packages/pandas/__init__.py in <module>() 4 5 try:----> 6 from . import hashtable, tslib, lib 7 except Exception: # pragma: no cover 8 import sys/Users/abe/Documents/Development/kaggle-titanic/numpy.pxd in init pandas.tslib (pandas/tslib.c:62993)()ValueError: numpy.dtype has the wrong size, try recompiling I did some searching and f [Link]:http://stackoverflow.com/questions/17709641/valueerror-numpy-dtype-has-the-wrong-size-try-recompiling that it might be because I have mismatched versions of numpy and pandas. I was under the impression that if I installed the latest for both it would take care of this problem so I ran: pip install numpy --upgrade pip install pandas --upgrade But this did not fix the problem. Can anyone suggest a way to fix this problem?",1,None,6,Sun Sep 21 2014 09:06:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10401,/competitions/titanic,None
/mohitsinha1,SMS Verification in India,"So, I called up my service provider and asked them to allow promotion calls/ messages, they say it's gonna take a week before I can receive messages. So no more submissions for another week and I'll have to bear the torture of all the crazy promotional calls, since I can't add my self back to the Do Not Disturb list for another month. Thank you Kaggle!! For all the calls about real estate that I can't buy, hassle free loans that I don't need and a plethora of other ridiculous calls! But you guys must have thought something before you decided to force this upon us! Maybe catch people using multiple accounts?? To that I've gotta say LOL, it is very common in India for people to have 2 Mobile Numbers (most phones support two SIM cards). And if you don't you can always get help from your family and friends. Doesn't look like you'll be able to filter off people with more than one account. Oh! And another funny thing I forgot to mention! If you don't use a number for more than 3 months, it gets recycled and is issued to someone else! So it is possible that someone gets a number that has previously been registered on Kaggle, and the 2 accounts are entirely unrelated. Hopefully, I'll get the message from your provider after a week and will be able to make submissions again!",0,None,3,Sun Sep 21 2014 09:38:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10402,None,None
/apophenia,Where can I get a Kaggle sticker or T-shirt?,Do you have a shop like [Link]:https://github.myshopify.com/? It may help to promote Kaggle and build a sense of community. I guess It would be even better if Kaggle have a mascot.,37,gold,32,Sun Sep 21 2014 21:23:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10403,None,None
/emolson,Python code for CV splitting,"[Link]:https://github.com/ebenolson/seizure-prediction-public Thought I'd share some code I wrote to split the data into test/train sets, while keeping sequences intact - this should help avoid overly-optimistic CV scores. Hope it's useful, and please let me know if you notice any mistakes.",6,silver,18,Mon Sep 22 2014 00:13:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10405,/competitions/seizure-prediction,131st
/statisticallearner,what is your best lb score without adding new features?,Anyone would like to share that? Thanks.,0,None,1,Mon Sep 22 2014 00:30:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10406,/competitions/criteo-display-ad-challenge,144th
/mkozine,Error reading unzipped mat files,"I try to read the first file from the first archive ""Dog_1_interictal_segment_0001.mat"", and both Octave and R.matlab give me errors. Octave: octave-3.6.4.exe:2> load (""Dog_1_interictal_segment_0001.mat"")error: load: invalid element type = 61440error: load: trouble reading binary file 'Dog_1_interictal_segment_0001.mat'error: load: invalid element type = 10error: load: trouble reading binary file 'Dog_1_interictal_segment_0001.mat'error: load: invalid element type = 2error: load: trouble reading binary file 'Dog_1_interictal_segment_0001.mat'error: load: invalid element type = 84error: load: trouble reading binary file 'Dog_1_interictal_segment_0001.mat'octave-3.6.4.exe:2> R: > dog1 <- readMat (""Dog_1_interictal_segment_0001.mat"", maxLength = 1)Error in mat5ReadTag(this) : Unknown data type. Not in range [1,19]: 61440 Do you have any idea where this ""61440"" comes from? When I open the file with Notepad, the first line looks like this: ""MATLAB 5.0 MAT-file, Platform: MACI64, Created on: Thu Aug 21 01:00:00 2014""",0,None,4,Mon Sep 22 2014 03:41:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10407,/competitions/seizure-prediction,363rd
/yankov,What is your typical workflow,"It would be interesting to learn what is the typical workflow different people follow when they start with a new competition. Mine is very simple (noob alert): Come up with the simplest benchmark solution read the data use the simplest model correctly create submission file and get on the leaderboard Implement scoring function as it is described in the rules Add cross validation using that function Randomly try different models and find the one that gives the best score :) Use GridSearch to find best parameters for that model Randomly try different models for feature selection Randomly try different feature engineering methods (scaling, normalization, etc) Stuck As you can see it's mostly a gambling game for me. From what I understand the correct cycle should be something like this: exploratory analysis -> feature engineering -> feature selection -> model finding -> model optimization. Just interesting to know how different people approach those steps, what are the main question they ask themselves on those steps and how they make a decision on what to do next. Of course it's hard to provide a full answer, but just a brief description of the routine could be helpful and interesting.",1,bronze,2,Mon Sep 22 2014 06:23:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10408,None,None
/jofaichow,H2O Deep Learning Starter Code and Domino Tutorials,"Dear All, Here is the blog post that I had been working on in the last couple days. [Link]:http://blog.dominoup.com/using-r-h2o-and-domino-for-a-kaggle-competition/ It contains starter code for this contest as well as three tutorials on how to use R, [Link]:http://h2o.ai/ and [Link]:http://www.dominoup.com/ for Kaggle. Hope you will find this useful for Kaggle as well as all other data mining exercises. It's my first time to provide starter code here. Please let me know what you think about it. I didn't include the random seed in the code so everyone should have slightly different results when he/she reproduces it :) Cheers, Joe",23,gold,22,Mon Sep 22 2014 08:50:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10409,/competitions/afsis-soil-properties,512th
/slobo777,How to droping an active competition,"I have a couple of competitions, where I have downloaded the data, had a look in more details, and decided that those competitions are not for me. They still appear on my ""active competitions"" sidebar. As I understand it, if I just leave them alone, they will clear themselves from my account eventually as I have not made any submission. But I do feel as though I am being nagged - is there some way that I can de-register from competitions that I have not submitted to, so I don't get to see them on the ""your active competitions"" sidebar? Or in fact just set a flag not to show them there (it makes sense that Kaggle keep a record that I agreed to T&C's for legal reasons). :-) Bad typo in the title, I don't seem to have a way to correct it, sorry!",1,bronze,4,Mon Sep 22 2014 09:40:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10410,None,None
/drsmith,giver_username_if_known,"Hi. Why is the field ""giver_username_if_known"" presented in the test data? I suppose, one cannot have access to this field at the moment of posting.",2,bronze,6,Mon Sep 22 2014 10:21:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10411,/competitions/random-acts-of-pizza,66th
/oregember,Automate Kaggle Submission and Score extraction,"With the lack of an API (as noted in other forum posts) I was wondering if anyone happened to conjure up their own 'submission' script (and if they'd be interested in sharing it). What I have in mind is, given a corrected submission file for a given challenge, one might just run the script from the terminal with the submission file's name as an argument, and the script would go to the proper webpage submit the file to the form, maybe enter a description in the text box, and hit submit. An added plus would be if it could (maybe on a try loop) extract the score from the following results webpage. I haven't seen such attempts yet in the forums, and I have yet to really try my own, but I'm interested if other competitors have already gone about this route, since I'm sure I'm not the first to think of it.",0,None,1,Mon Sep 22 2014 13:22:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10413,None,None
/gaborfodor,Journey on the Leaderboard,We still have about a day left from the competition. Since I have to wait more and more to improve the last digits of my score and try to keep my position on the leaderboard I have more time to analyze my performance :) If you are interested in your path you can create it with the attached script. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54465/1578/journey.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54465/1579/leaderboard_climbing.py,13,gold,1,Mon Sep 22 2014 17:55:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10414,/competitions/criteo-display-ad-challenge,36th
/pakozm,Problem with sequences,"In the competition description it is stated that one hour records have been performed, and every sample file has been taken segmenting hours into 10 minute files. So, it is expected to have 6 files for every hour. However, I found the following sequences which are discontinuous in different ways. Could someone else check if I'm correct? The sequence data can be important to make a proper block partition for cross-validation. Dog_2_interictal_segment_0500 2 <-- lost sequences 3,4,5,6Dog_3_preictal_segment_0001 1Dog_4_preictal_segment_0018 6Dog_4_preictal_segment_0019 2 <-- lost sequence 1Dog_4_preictal_segment_0020 3Dog_4_preictal_segment_0023 6Dog_4_preictal_segment_0024 4 <-- lost sequences 1,2,3Dog_4_preictal_segment_0025 5Dog_4_preictal_segment_0038 6Dog_4_preictal_segment_0039 2 <-- lost sequence 1Dog_4_preictal_segment_0040 3Patient_1_interictal_segment_0050 2 <-- lost sequences 3,4,5,6Patient_2_preictal_segment_0001 1",0,None,5,Mon Sep 22 2014 22:36:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10417,/competitions/seizure-prediction,4th
/transplanted,WEKA 3.7 starter code for making a submission,"The attached starter code for WEKA can be run from the command-line as follows, assuming it has been compiled and WEKA 3.7 is in the Java CLASSPATH as well: java -Xmx2000m RunExpSpectrumOnly <scheme specification string> For example, to run linear regression without attribute selection: java -Xmx2000m RunExpSpectrumOnly .LinearRegression -C -S 1 It will create a .sub file that can be submitted as is. It creates a .log file that has logging info. The leaderboard score for the above example is 0.98499. This can be improved by using things like the SVM implementations in WEKA. Only the spectrum is used for predictions. The call of the cross-validation method in the attached code has been commented out because I usually use schemes like GridSearch that output cross-validation scores while running when -output-debug-info is set. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54486/1580/RunExpSpectrumOnly.java",3,bronze,3,Tue Sep 23 2014 01:24:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10418,/competitions/afsis-soil-properties,304th
/lawrenceliu2,questions regarding edge within a circle in the stanford  paper,"Hi there, I have been reading through the stanford paper, but there is some questions regarding edge within a circle. As stated on page 3 in the paper, formula 1 is probability that a pair of nodes (x,y)∈V ×V form an edge. My question is : What kind of relationship this edge represents? i.e., if two nodes are connected, what does that mean? My first thought is that if two nodes is connected, then they are in the same circle. But there is one sentence in the paper saying 'Nodes within a common circle are given an opportunity to form an edge, which naturally leads to hierarchical and overlapping circles'. If nodes are already within a common circle, of course we don't need to assign a probability of two nodes forming an edge which represents the probability they are in the same circle because they are already in the same circle, the probability would be 100%. So I am confused, can anyone help me? Thanks.",0,None,3,Tue Sep 23 2014 02:51:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10419,/competitions/learning-social-circles,None
/reza525497,Error with the submission file format,"Hi, I want to upload the attached file as a submission. However, I get an error message saying ""Evaluation Exception: Input string was not in a correct format.."" all time. Any idea what is the mistake? Thanks in-advance. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54500/1581/Reza_CC_1_submission.csv",0,None,1,Tue Sep 23 2014 06:37:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10421,/competitions/learning-social-circles,125th
/broham,Where does test_data come from in the python tutorial?,"In the [Link]:http://www.kaggle.com/c/titanic-gettingStarted/details/getting-started-with-random-forests, they require that you execute the following line: output = forest.predict(test_data) But I'm unclear on where test_data comes from. In the previous tutorials we used the csv package to import csv data. I attempted to do this, but it does not appear to be the correct method since predict is expecting an array and I was attempting to pass a CSV object. I also attempted to use: test = genfromtxt(""kaggle/test.csv"",skiprows=1,delimiter="","") But this has a bunch of NaNs in it, which causes a problem. How should I be loading the test_data so that I can use it in the predict function?",0,None,1,Tue Sep 23 2014 07:25:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10422,/competitions/titanic,None
/melisgl,Code release,"As required by the rules, the code for the winning submission has been released. Model documentation is at: https://github.com/melisgl/higgsml/blob/master/doc/model.md Precompiled binary (with sources of all library dependencies) for x86-64 linux: http://quotenil.com/higgsml/gabor-melis.zip (35MiB) The git repo's readme has (README.md in the zip above) has information on how to run or recompile it (read the readme, you need a cuda card): https://github.com/melisgl/higgsml There is a note about this on my blog: http://quotenil.com/Higgs-Boson-Machine-Learning-Challenge-Post-Mortem.html and another one about updates to my Common Lisp libraries for those who care: http://quotenil.com/Higgs-Boson-Machine-Learning-Challenge-Bits-and-Pieces.html",19,silver,1,Tue Sep 23 2014 14:34:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10425,/competitions/higgs-boson,1st
/liudll,How do you deal with the feature file?,"The 4-th day I do this competition. I have used the connected components as circles of one user. this method can beat the ''Connected Components Benchmark'' just a little when i tune the component's size. Now, i start to regrad the users profiles. I find parsing the features file is boring. How do you deal with the feature file? I have read part of the paper mentioned in the index page, and I have a little idea to improve it. but i dont know whether it work because i should first implement this method in this paper, and then apply my little idea based on this implementation. Then the second difficult for me is that i don't familiar to the math optimization method mentioned in the model training part of this paper. How do you deal with this difficult?",0,None,1,Tue Sep 23 2014 14:44:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10426,/competitions/learning-social-circles,156th
/gaborfodor,What is the chance of sockpuppets?,See attachment Or maybe I am just paranoid because they are standing right in front of me :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54517/1583/krosh17.PNG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54517/1584/vihra23.PNG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54517/1585/leaderboard.PNG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54517/1586/progress.PNG,16,gold,3,Tue Sep 23 2014 18:05:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10427,/competitions/criteo-display-ad-challenge,36th
/neuralnetworks,edited,edited,1,bronze,3,Tue Sep 23 2014 21:39:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10428,/competitions/criteo-display-ad-challenge,288th
/dylanjf,Congratulations to the winners!,"Really great competition, thanks to Criteo with providing a data set which likely forced many of us out of our comfort zone. Also thanks to everyone who shared parts of their code and ideas throughout, I think we all came away learning something we didn't know :) Little surprise that with so many data points, things were pretty stable from public / private. Well done teams 3 Idiots, Michael Jahrer, and beile. My solution was pretty routine... preprocessing I used Triskelion's formatting script, but changed the integer inputs to be log scaled since having a feature space that's close to normally distributed / around the same scale is a plus for logistic models. I also created an additional rare category for each categorical variable by iterating through the data set column by column and creating a dictionary for all values that appeared only once in the train set. For my model I used VW. Created quadratic integer features and bi/tri grams for categorical. Trained the learning rate, decay, and byte size for hashing via vw-hyperopt on a holdout of the last day. Very impressive how resistant it is to overfitting right out of the box. That's it! I'm very curious to hear what people around the .450 range did to get their sores.",10,silver,64,Wed Sep 24 2014 04:51:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10429,/competitions/criteo-display-ad-challenge,47th
/yunfengxi,zeros in windspeed,"Hi all, I found there were about 1000 zero-windspeed observations in train dataset. To me there are three explanations: 1. windspeed is zero indeed at these hours. 2. windspeed is too low to be measured, for example varying from 0 to 5. 3. these zeros or part of them are nothing but NAs. Do you think which one is more likely to be true? Thanks.",2,None,4,Wed Sep 24 2014 06:17:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10431,/competitions/bike-sharing-demand,473rd
/psdhillon,predict casual & registered separately or just count,Has anyone tried this approach by predicting casual & registered separately & add them to get final figure.. i was wondering it could give better counts. Please share your views on this,0,None,4,Wed Sep 24 2014 06:44:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10432,/competitions/bike-sharing-demand,2397th
/broham,Best way to include categorial data in the training set?,"In the myfirstforest.py file the Embarked column is translated into a numeric value so it can be used in our models. When doing this they include the comment: # Note this is not ideal: in translating categories to numbers, Port ""2"" is not 2 times greater than Port ""1"", etc. I am now in the process of creating a Title column that will specify what a persons title is based on their name (Mrs, Mr, Captain, etc.), and I'm curious what is the ideal way to include categorial data in a model that requires numeric values? Should I just arbitrarily assign numbers starting from 0, or is there a better approach this?",1,None,5,Wed Sep 24 2014 07:19:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10433,/competitions/titanic,None
/jeanpierre1,Problem with assignement of observations to variables In R,"Hello Everybody, I have problem with the result of my reading function in R when using the following function read.csv(""train-1.csv"", header=TRUE). When i use the function str() to have a look on the structure of the matrix, i have noticed that the observations are not assigned to their respective variable but concatennate the variables in the single variable ""PassengerId"" while the other variables are assigned with NA# observation can somebody help me? I am doubting it might be the fact that the file is in US format while i am working in a European Format. I am from Belgium for info.",0,None,1,Wed Sep 24 2014 09:30:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10434,/competitions/titanic,None
/jpgossuin,Problem with assignement of observations to variables In R,"Hello Everybody, I have problem with the result of my reading function in R when using the following function read.csv(""train-1.csv"", header=TRUE). When i use the function str() to have a look on the structure of the matrix, i have noticed that the observations are not assigned to their respective variable but concatennate the variables in the single variable ""PassengerId"" while the other variables are assigned with NA# observation can somebody help me? I am doubting it might be the fact that the file is in US format while i am working in a European Format. I am from Belgium for info.",0,None,3,Wed Sep 24 2014 09:33:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10435,/competitions/titanic,None
/selfishgene,A simpler benchmark to score 3002 on public LB,"what this does is simply find the single most popular friend each user has (using page rank), and predict a single circle that contains only that popular friend.the popularity of the friend is not very important, of course, but rather the fact that the prediction is minimal, since this metric is quite harsh on false positives (penalty of 2 edits: remove from wrong circle, add to correct circle) with respect to false negatives (penalty of 1 edit: add to correct circle) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/54589/1587/page_rank.py",8,silver,6,Wed Sep 24 2014 09:51:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10436,/competitions/learning-social-circles,53rd
/dasgupta,"Vowpal Wabbit, libFM, xgboost and other examples","Hi, The competition highlighted the merits of using tools like VW, libFM, xgb, ... tools that are fairly new in terms of being applied at this scale in Kaggle competitions. To that end, it has served as a great learning experience for many of us. I'd be interested in seeing how others selected their hyper-parameters for training these models, given you don't get facilities such as GridSearch that are readily available on other platforms. I could not find much literature on applying libFM and any code samples / examples of how libFM, VW, xgb was used in this competition would be very helpful, Thanks, - xbsd",1,bronze,4,Wed Sep 24 2014 14:03:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10438,/competitions/criteo-display-ad-challenge,169th
/statskom,Statskom - SAS tutorials,"We've created a series of SAS tutorials which explain how to use SAS University Edition to enter the competition. SAS Universiry Edition is a free version of the SAS and the tutorials are aimed at people who are new to SAS or interested in learning it. The first of these tutorials explains: how to import the CSV file into SAS how to calculate the proportion of males and females who survived how to use IF..THEN...ELSE logic to modify a dataset how to create a CSV file ready for submission. The tutorial is available here: [Link]:http://statskom.com/kaggle-getting-started-with-sas-university-edition/ Please feel free to post any comments, questions or suggestions in the forum, or contact us directly: info@statskom.com [Link]:http://statskom.com/",9,None,3,Wed Sep 24 2014 22:42:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10443,/competitions/titanic,None
/kaguiar,Binary classificator ,"Dear collegues, I'd like to know about the output expected by the administrators of this competition. I thought they wanted a classification to the samples in ""precital"" or ""interictal"" state. Am I right? If so, I think ""1"" means that current sample is a preictal one, and ""0"" means a interictal sample. Is that true? Kaguiar",0,None,8,Wed Sep 24 2014 22:53:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10444,/competitions/seizure-prediction,None
/haox364,Why is my ranking deleted?,"Hi, all. Yesterday I was ranked 18th with a log loss score of 0.45175, but now I can't find my ranking on the leader board. Also ""My submissions"" become empty. And also I haven't received any email regarding this from kaggle or criteo. Does anyone have similar problems? Or does anyone know the reason behind this? I surely just used one account, and my teammate didn't submit any entry in this contest. ---------------Update--------- Sorry about this post, my score just updated and reappeared. I think this is a common case after competition, and I was just being too anxious. Sorry again, I am just new to kaggle and not familiar with the whole process. Thanks everyone, kaggle and criteo, this is a great experience for me.",0,None,18,Thu Sep 25 2014 02:45:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10445,/competitions/criteo-display-ad-challenge,16th
/sanchaydewan,Linear Regression,How badly will Linear regression fare in this particular case as compared to Tree based regression?,1,bronze,10,Thu Sep 25 2014 11:27:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10447,/competitions/bike-sharing-demand,None
/oleggolovanov,Lips Recognition,I am trying to using simple CPA -> LinearRegression pipe for eyes recognition. It's looks pretty good. I am just taking 30x30 eye and non eye patches. and receive 80-90% score on model. I have tryed to use this technique for lips also but it does not work at all. Has somebody any ideas why it can be and how can i improve this simple recognition ? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55212/1599/eyes.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55212/1600/lips.png,1,None,2,Thu Sep 25 2014 11:42:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10448,/competitions/facial-keypoints-detection,None
/epinephelus,Human specific model,"I understand from the rules, that changing the model or the parameters based on direct knowledge of the subject is not allowed. But can we at least use the knowledge of whether the subject is a Human or a Dog? We can also infer it anyway based on heuristics or CV based decisions but I would like to know if we can use the information directly.",10,gold,5,Thu Sep 25 2014 17:10:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10449,/competitions/seizure-prediction,30th
/mikeskim,applying MCMC to competition problems,"I haven't really seen many successful (top 10) uses of MCMC within Kaggle competitions. Maybe I'm just ignorant of this. Can someone explain any successful uses of MCMC or non-trivial resampling methods? I'm not talking about simple things like bagging, or subsampling and such which I almost always use in every competition. I'm talking about more direct uses of MCMC or other such methods for things like penalized model selection and such. Also while not directly related I'd like to inquire about Bayesian methods and their success within Kaggle competitions. Supposedly there are some applications within neural networks.",1,None,3,Thu Sep 25 2014 22:09:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10450,None,None
/lkay83,Load the .mat file in R ?,"Hi. I'm trying to learn R while doing this competition at the same time. I was wondering if someone can tell me how to load the .mat file in R? I got the R.matlab package and I can use data <- readMat(filename.mat) I'm not sure if it actually parsed out a matrix successfully though. data$preictal.segment.1[1] That appears to return me a list of numbers then at the end it says... [,239752] [,239753] [,239754] [,239755] [,239756] [,239757] [,239758] [,239759] [,239760] [,239761] [,239762] [,239763] [,239764] [,239765] [,239766] [ reached getOption(""max.print"") -- omitted 15 rows ] but I'm not sure how to convert this to a matrix. Any help would be appreciated! Thanks.",1,None,4,Thu Sep 25 2014 23:25:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10453,/competitions/seizure-prediction,341st
/rudikruger,Leaderboard,"Something is wrong with the leaderboard scoring - I made a submission a short while ago and scored ~53. I was very surprised because this was the second time in a row I got a really bad score. I then downloaded my best submission, and resubmitted it again - again a very bad score while it should've been exactly the same.",0,None,4,Fri Sep 26 2014 12:46:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10454,/competitions/tut-head-pose-estimation-challenge,10th
/mikeskim,robust model selection,"How is everyone approaching the model selection problem given various distributions of resampled CV error? For instance, if model A has CV error summary of: Min. 1st Qu. Median Mean 3rd Qu. Max. 0.2200 0.2775 0.3450 0.3575 0.4550 0.4800 and model B has CV error summary of: Min. 1st Qu. Median Mean 3rd Qu. Max. 0.0001 0.2725 0.3450 0.3460 0.4650 0.6000 which model would you select? What is your personal loss function and why? Is it order stat based? Min variance based? A variance penalty? These are just toy examples, so feel free to come up with your pathological cases of model A,B,C...Also note that you can select up to 2 entries... which ones? This question comes up a lot, but I think it matters a lot more for this contest. On a side note maybe we should have a side tournament on who can overfit the most. The biggest drop on the leaderboard would win. Obviously this would just be for fun, but it might be interesting.",1,bronze,9,Fri Sep 26 2014 16:52:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10455,/competitions/afsis-soil-properties,81st
/ankitj,Overfitting,"Hello, Just needed some help from experts here. I want to check whether my methodology (mentioned below) will lead to overfitting or not? Methodology: 1. Check the correlation of Target variables with the features in the training set. 2. Manually add some (4-5) variables (due to their high correlation with Target) into the existing model I have. I ignored those variables before only to realize that they have high correlation with Target. 3. Build the model again with new set of variables and apply cross validation.Note that Cross validation was applied after I included those variables. Result: Cross Validation: Not much improvement in RMSE of any target but SD RMSE surely reduced (by as much as 2%) for few of the Target Variables. In fact Overall RMSE (from all Targets) from CV dropped by 0.0012. This can be because I do random selection for CV. LeaderBoard: Leader board score improved by 0.003. My question is this: Because I did some feature inclusion before CV step, is this the case of Overfitting when I haven't used any fancy techniques to come up with those features ? Any help in this regard will be heplful. Ankit",0,None,2,Sat Sep 27 2014 00:55:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10461,/competitions/afsis-soil-properties,653rd
/anuzis,"Humorously Poor Results pre-training RBM on Spectral Data, any tips?","Inspired by [Link]:http://www.kaggle.com/users/92241/miroslav-sabo's [Link]:http://www.kaggle.com/c/afsis-soil-properties/forums/t/10371/detecting-relevant-wavenumbers-for-each-target (plot re-posted for reference), I had a hunch pre-training an [Link]:http://en.wikipedia.org/wiki/Restricted_Boltzmann_machine could help reduce the 3k+ spectral variables to 20-30 latent features for a model less vulnerable to noise. First time training an RBM, nothing seemed to work. Sharing lessons learned & appreciate any suggestions. (Plot Credit: [Link]:http://www.kaggle.com/users/92241/miroslav-sabo) My approach: Input data: spectral vars derivative (from example R code), dropped CO2 Preprocessing: sklearn [Link]:http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html(0,1); [Link]:http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html#sklearn.preprocessing.Binarizer, threshold=0.5 [Link]:http://scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html parameters tested: (bolding top performers) n_components = 10, 20, 25, 30, 50, 100, 200, 300 learning_rate = 0.1, 0.08, 0.05, 0.01 batch_size = 10, 30, 50, 100, 200, 300, 500, 1000 n_iter = 50, 100, 300 (seemed to hover here) Training began with ""pseudo-likelihood"" score of -1759.89 and finished near -1228.34. (Contrast to [Link]:http://scikit-learn.org/stable/auto_examples/plot_rbm_logistic_classification.html#example-plot-rbm-logistic-classification-py that reduces -25.39 to -19.01) MSE in 10-fold cross-val against SOC target: Raw data: 0.2398 (StDev 0.3049) Raw + RBM: 0.2332 (StDev 0.2786) RBM data alone: 1.1719 Random data: 1.4960 Above CV results use an SVR(C=10000). Lessons learned: I thought RBM data alone may outperform raw data. Not even close. RBM data beating random suggests it's doing something positive. Raw+RBM beating Raw seems like a fluke looking at StDev. Setting batch_size, n_components, or learning_rate too high or too low causes pseudo-likelihood to spiral worse indefinitely. Approaching 0 seemed a minor accomplishment. Update: Tried stacking two RBMs and getting better results. RBM data solo improves to MSE of 0.66 and joining Raw+RBM reduces MSE to 0.22. 2nd RBM layer ""pseudo-likelihood"" trains -44.13 to -9.82, more like sklearn's tutorial. Example params: rbm_1 = BernoulliRBM(n_components=100, batch_size=500, n_iter=150, learning_rate=0.08) rbm_2 = BernoulliRBM(n_components=25, batch_size=500, n_iter=110, learning_rate=0.08) Interestingly, pre-training against joint train & test data drops RBM-only MSE back to 0.83 (but perhaps with a more generalized neural net aware of the test set). Attached example code. Just learning here, suggestions appreciated. Don't know that RBMs are a good fit for this dataset. Considering woobe's strong performance with deep learning, a neural network hybrid approach seemed like a good idea. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55322/1604/afsis_rbm_example.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55322/1605/afsis_rbm.py",0,None,2,Sat Sep 27 2014 03:20:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10462,/competitions/afsis-soil-properties,429th
/lazywei,Interdependency among labels,"When we deal with multi-label problems, we usually assume there are somewhat dependencies among labels. However, in this competition, the evaluation (MCRMSE) seems only ask us to perform well on ""each"" label. I'm wondering if anyone tries to leverage the inter-dependencies among labels.",0,None,4,Sat Sep 27 2014 09:52:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10464,/competitions/afsis-soil-properties,716th
/kennyzhao,individual target or combined targets?,"Hi All, I am new to statistical learning. Is there anybody can teach me about the strategy that determines whether or not we learn each dependent variable individually? I think it is possible to a have regression for 1 of the 5 factor, right? Or we can do a combined regression. How to quantify the choice? Can anyone give me a link of paper or book? Thanks. Kenny",2,bronze,6,Sat Sep 27 2014 22:05:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10466,/competitions/afsis-soil-properties,638th
/lsiemens,Sharing code publicly?,"I would like to write some blog posts about the code I am using for this competition, and make my code available publicly on GitHub. Is this allowed? The rules state, Privately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums. but this does not directly address making code available publicly out side of the forums.",1,None,1,Sun Sep 28 2014 06:11:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10467,/competitions/billion-word-imputation,54th
/iguyon,Challenges in Machine Learning workshop at NIPS,"Please join us at NIPS 2014 for a gathering of challenge organizers and challenge participants to lay the basis of the challenges of the next decade! Challenges in Machine LearningNIPS 2014 workshopDecember 12 or 13, 2014http://ciml.chalearn.org/ Call for abstractsWe welcome 2-page extended abstracts on one of the topics of the workshop. The abstracts should be submitted before October 9th, 2014 by email to nips2014@chalearn.org. Topics of interest: Methods:- Novel or atypical challenge protocols, particularly to tackle complex tasks with very large datasets, multi-modal data, and data streams.- Methods and metrics of entry evaluation, quantitative and qualitative challenges.- Methods of data collection, ""ground-truthing"", and preparation including bifurcation/anonymization, data generating models.- Teaching challenge organization.- Hackatons and on-site challenges.- Challenge indexing and retrieval, challenge recommenders. Theory:- Experimental design, size data set, data split, error bounds, statistical significance, violation of typical assumptions (e.g. i.i.d. data).- Game theory applied to the analysis of challenge participation, competition and collaboration among participants.- Diagnosis of data sanity, artifacts in data, data leakage. Implementation:- Re-usable challenge platforms, innovative software environments.- Linking data and software repositories to challenges.- Security/privacy, intellectual property, licenses.- Cheating prevention and remedies.- Issues raised by requiring code submission.- Challenges requiring user interaction with the platform (active learning, reinforcement learning).- Dissemination, fact sheets, proceedings, crowsourced papers, indexing post-challenge publications.- Long term impact, on-going benchmarks, metrics of impact.- Participant rewards, stimulation of participation, advertising, sponsors.- Profiling participants, improving participant professional and social benefits. Applications:- Where to venture next: opportunities for challenge organizers to organize challenges in new domains with high societal impact.- Successful challenge leading to significant breakthrough or improvement over the state-of-the-art or unexpected interesting results.- Rigorous study of the impact of challenges, analyzing topics and tasks lending themselves to high impact machine learning challenges.- Challenges as an educational tool.- Challenges organized or supported by Government agencies, funding opportunities. Motivations Challenges in Machine Learning have proven to be efficient and cost-effective ways to quickly bring to industry solutions that may have been confined to research. In addition, the playful nature of challenges naturally attracts students, making challenge a great teaching resource. Challenge participants range from undergraduate students to retirees, joining forces in a rewarding environment allowing them to learn, perform research, and demonstrate excellence. Therefore challenges can be used as a means of directing research, advancing the state-of-the-art or venturing in completely new domains. Yet, despite initial successes and efforts made to facilitate challenge organization with the availability of competition platforms, little effort has been put into the theoretical foundations of challenge design and the optimization of challenge protocols. This workshop will bring together workshop organizers, platform providers, and participants to discuss best practices in challenge organization and new methods and application opportunities to design high impact challenges. The themes to be discussed will include new paradigms of challenge organization to tackle complex problems (e.g. tasks involving multiple data modalities and/or multiple levels of processing). Important dates Abstract submission deadline: October 9th, 2014.Acceptance decisions: October 23rd, 2014.Finalized program: October 30th, 2014.Early bird registration: November 7, 2014 Invited speakers Percy Liang, Stanford, USA: Coopetitions Joyce Noah-Vanhoucke, Kaggle, USA: Making data science a sport Olga Russakovsky, Stanford USA:The ImageNet project Rinat Sergeev, Harvard, USA: The NASA tournament lab Gabor Melis, Franz Inc., Hungary: A serial winner Tim Salimans, Algoritmica, The Nethelands: A brilliant data scientist Michele Sebag, LRI, France: Pascal challenges Gustavo Stolovitzky, IBM, USA: DREAM challenges Important dates Abstract submission deadline: October 9th, 2014.Acceptance decisions: October 23rd, 2014.Finalized program: October 30th, 2014.Early bird registration: November 7, 2014CommitteeKristin Bennett, RPI, New-York, USAGideon Dror, Yahoo!, Haifa, IsraelHugo Jair Escalante, INAOE, Puebla, Mexico Sergio Escalera, University of Barcelona, Catalonia, SpainBram van Ginneken, Radboud University Nijmegen Medical Centre, Nijmegen, The NetherlandsJayashree Kalpathy-Cramer, Harvard University, Boston, Massuchussetts, USAHugo Larochelle, Université de Sherbrooke, CanadaVincent Lemaire, Orange research, Lannion, Britany, FrancePercy Liang, Stanford University, Palo Alto, California, USA Chih Jen Lin, National Taiwan University, TaiwanSimon Mercer, Microsoft, Redmond, Washington, USAJin Paik, Harvard University, Boston, Massuchussetts, USAFlorin Popescu, Fraunhofer First, Berkin, GermanyMehreen Saeed, University of Lahore, PakistanDanny Silver, Acadia University, Wolfville, Nova Scotia, CanadaAlexander Statnikov, American Express, New-York, USA Rinat Sergeev, Harvard University, Boston, Massuchussetts, USAIoannis Tsamardinos, University of Crete, Greece Organizers Isabelle Guyon ChaLearn, Berkeley, California, USAEvelyne Viegas Microsoft, Redmond, Washington, USA SponsorsChaLearn, Microsoft, DREAM, IBM",1,bronze,1,Sun Sep 28 2014 09:09:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10468,None,None
/iguyon,CIML workshop @ NIPS 2014 (December),"Please join us at NIPS 2014 for a gathering of challenge organizers and challenge participants to lay the basis of the challenges of the next decade! Challenges in Machine LearningNIPS 2014 workshopDecember 12 or 13, 2014http://ciml.chalearn.org/ Call for abstractsWe welcome 2-page extended abstracts on one of the topics of the workshop. The abstracts should be submitted before October 9th, 2014 by email to nips2014@chalearn.org. Topics of interest: Methods:- Novel or atypical challenge protocols, particularly to tackle complex tasks with very large datasets, multi-modal data, and data streams.- Methods and metrics of entry evaluation, quantitative and qualitative challenges.- Methods of data collection, ""ground-truthing"", and preparation including bifurcation/anonymization, data generating models.- Teaching challenge organization.- Hackatons and on-site challenges.- Challenge indexing and retrieval, challenge recommenders. Theory:- Experimental design, size data set, data split, error bounds, statistical significance, violation of typical assumptions (e.g. i.i.d. data).- Game theory applied to the analysis of challenge participation, competition and collaboration among participants.- Diagnosis of data sanity, artifacts in data, data leakage. Implementation:- Re-usable challenge platforms, innovative software environments.- Linking data and software repositories to challenges.- Security/privacy, intellectual property, licenses.- Cheating prevention and remedies.- Issues raised by requiring code submission.- Challenges requiring user interaction with the platform (active learning, reinforcement learning).- Dissemination, fact sheets, proceedings, crowsourced papers, indexing post-challenge publications.- Long term impact, on-going benchmarks, metrics of impact.- Participant rewards, stimulation of participation, advertising, sponsors.- Profiling participants, improving participant professional and social benefits. Applications:- Where to venture next: opportunities for challenge organizers to organize challenges in new domains with high societal impact.- Successful challenge leading to significant breakthrough or improvement over the state-of-the-art or unexpected interesting results.- Rigorous study of the impact of challenges, analyzing topics and tasks lending themselves to high impact machine learning challenges.- Challenges as an educational tool.- Challenges organized or supported by Government agencies, funding opportunities. Motivations Challenges in Machine Learning have proven to be efficient and cost-effective ways to quickly bring to industry solutions that may have been confined to research. In addition, the playful nature of challenges naturally attracts students, making challenge a great teaching resource. Challenge participants range from undergraduate students to retirees, joining forces in a rewarding environment allowing them to learn, perform research, and demonstrate excellence. Therefore challenges can be used as a means of directing research, advancing the state-of-the-art or venturing in completely new domains. Yet, despite initial successes and efforts made to facilitate challenge organization with the availability of competition platforms, little effort has been put into the theoretical foundations of challenge design and the optimization of challenge protocols. This workshop will bring together workshop organizers, platform providers, and participants to discuss best practices in challenge organization and new methods and application opportunities to design high impact challenges. The themes to be discussed will include new paradigms of challenge organization to tackle complex problems (e.g. tasks involving multiple data modalities and/or multiple levels of processing). Important dates Abstract submission deadline: October 9th, 2014.Acceptance decisions: October 23rd, 2014.Finalized program: October 30th, 2014.Early bird registration: November 7, 2014 Invited speakers Percy Liang, Stanford, USA: Coopetitions Joyce Noah-Vanhoucke, Kaggle, USA: Making data science a sport Olga Russakovsky, Stanford USA:The ImageNet project Rinat Sergeev, Harvard, USA: The NASA tournament lab Gabor Melis, Franz Inc., Hungary: A serial winner Tim Salimans, Algoritmica, The Nethelands: A brilliant data scientist Michele Sebag, LRI, France: Pascal challenges Gustavo Stolovitzky, IBM, USA: DREAM challenges Important dates Abstract submission deadline: October 9th, 2014.Acceptance decisions: October 23rd, 2014.Finalized program: October 30th, 2014.Early bird registration: November 7, 2014CommitteeKristin Bennett, RPI, New-York, USAGideon Dror, Yahoo!, Haifa, IsraelHugo Jair Escalante, INAOE, Puebla, Mexico Sergio Escalera, University of Barcelona, Catalonia, SpainBram van Ginneken, Radboud University Nijmegen Medical Centre, Nijmegen, The NetherlandsJayashree Kalpathy-Cramer, Harvard University, Boston, Massuchussetts, USAHugo Larochelle, Université de Sherbrooke, CanadaVincent Lemaire, Orange research, Lannion, Britany, FrancePercy Liang, Stanford University, Palo Alto, California, USA Chih Jen Lin, National Taiwan University, TaiwanSimon Mercer, Microsoft, Redmond, Washington, USAJin Paik, Harvard University, Boston, Massuchussetts, USAFlorin Popescu, Fraunhofer First, Berkin, GermanyMehreen Saeed, University of Lahore, PakistanDanny Silver, Acadia University, Wolfville, Nova Scotia, CanadaAlexander Statnikov, American Express, New-York, USA Rinat Sergeev, Harvard University, Boston, Massuchussetts, USAIoannis Tsamardinos, University of Crete, Greece Organizers Isabelle Guyon ChaLearn, Berkeley, California, USAEvelyne Viegas Microsoft, Redmond, Washington, USA SponsorsChaLearn, Microsoft, DREAM, IBM",0,None,"Challenges in Machine LearningNIPS 2014 workshopDecember 12 or 13, 2014http://ciml.chalearn.org/",Sun Sep 28 2014 09:13:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10470,/competitions/connectomics,105th
/iguyon,Workshop on challenges at NIPS 2014,"Hi all, So you intend to go to NIPS for the HEPML workshop, good choice! We are also holding a workshop for challenge organizers and challenge participants to lay the basis of the challenges of the next decade! The two workshops are held on different days so you can go to both. Isabelle Challenges in Machine LearningNIPS 2014 workshopDecember 12, 2014http://ciml.chalearn.org/ Call for abstractsWe welcome 2-page extended abstracts on one of the topics of the workshop. The abstracts should be submitted before October 9th, 2014 by email to nips2014@chalearn.org. Topics of interest: Methods:- Novel or atypical challenge protocols, particularly to tackle complex tasks with very large datasets, multi-modal data, and data streams.- Methods and metrics of entry evaluation, quantitative and qualitative challenges.- Methods of data collection, ""ground-truthing"", and preparation including bifurcation/anonymization, data generating models.- Teaching challenge organization.- Hackatons and on-site challenges.- Challenge indexing and retrieval, challenge recommenders. Theory:- Experimental design, size data set, data split, error bounds, statistical significance, violation of typical assumptions (e.g. i.i.d. data).- Game theory applied to the analysis of challenge participation, competition and collaboration among participants.- Diagnosis of data sanity, artifacts in data, data leakage. Implementation:- Re-usable challenge platforms, innovative software environments.- Linking data and software repositories to challenges.- Security/privacy, intellectual property, licenses.- Cheating prevention and remedies.- Issues raised by requiring code submission.- Challenges requiring user interaction with the platform (active learning, reinforcement learning).- Dissemination, fact sheets, proceedings, crowsourced papers, indexing post-challenge publications.- Long term impact, on-going benchmarks, metrics of impact.- Participant rewards, stimulation of participation, advertising, sponsors.- Profiling participants, improving participant professional and social benefits. Applications:- Where to venture next: opportunities for challenge organizers to organize challenges in new domains with high societal impact.- Successful challenge leading to significant breakthrough or improvement over the state-of-the-art or unexpected interesting results.- Rigorous study of the impact of challenges, analyzing topics and tasks lending themselves to high impact machine learning challenges.- Challenges as an educational tool.- Challenges organized or supported by Government agencies, funding opportunities. Motivations Challenges in Machine Learning have proven to be efficient and cost-effective ways to quickly bring to industry solutions that may have been confined to research. In addition, the playful nature of challenges naturally attracts students, making challenge a great teaching resource. Challenge participants range from undergraduate students to retirees, joining forces in a rewarding environment allowing them to learn, perform research, and demonstrate excellence. Therefore challenges can be used as a means of directing research, advancing the state-of-the-art or venturing in completely new domains. Yet, despite initial successes and efforts made to facilitate challenge organization with the availability of competition platforms, little effort has been put into the theoretical foundations of challenge design and the optimization of challenge protocols. This workshop will bring together workshop organizers, platform providers, and participants to discuss best practices in challenge organization and new methods and application opportunities to design high impact challenges. The themes to be discussed will include new paradigms of challenge organization to tackle complex problems (e.g. tasks involving multiple data modalities and/or multiple levels of processing). Important dates Abstract submission deadline: October 9th, 2014.Acceptance decisions: October 23rd, 2014.Finalized program: October 30th, 2014.Early bird registration: November 7, 2014 Invited speakers Percy Liang, Stanford, USA: Coopetitions Joyce Noah-Vanhoucke, Kaggle, USA: Making data science a sport Olga Russakovsky, Stanford USA:The ImageNet project Rinat Sergeev, Harvard, USA: The NASA tournament lab Gabor Melis, Franz Inc., Hungary: A serial winner Tim Salimans, Algoritmica, The Nethelands: A brilliant data scientist Michele Sebag, LRI, France: Pascal challenges Gustavo Stolovitzky, IBM, USA: DREAM challenges Important dates Abstract submission deadline: October 9th, 2014.Acceptance decisions: October 23rd, 2014.Finalized program: October 30th, 2014.Early bird registration: November 7, 2014CommitteeKristin Bennett, RPI, New-York, USAGideon Dror, Yahoo!, Haifa, IsraelHugo Jair Escalante, INAOE, Puebla, Mexico Sergio Escalera, University of Barcelona, Catalonia, SpainBram van Ginneken, Radboud University Nijmegen Medical Centre, Nijmegen, The NetherlandsJayashree Kalpathy-Cramer, Harvard University, Boston, Massuchussetts, USAHugo Larochelle, Université de Sherbrooke, CanadaVincent Lemaire, Orange research, Lannion, Britany, FrancePercy Liang, Stanford University, Palo Alto, California, USA Chih Jen Lin, National Taiwan University, TaiwanSimon Mercer, Microsoft, Redmond, Washington, USAJin Paik, Harvard University, Boston, Massuchussetts, USAFlorin Popescu, Fraunhofer First, Berkin, GermanyMehreen Saeed, University of Lahore, PakistanDanny Silver, Acadia University, Wolfville, Nova Scotia, CanadaAlexander Statnikov, American Express, New-York, USA Rinat Sergeev, Harvard University, Boston, Massuchussetts, USAIoannis Tsamardinos, University of Crete, Greece Organizers Isabelle Guyon ChaLearn, Berkeley, California, USAEvelyne Viegas Microsoft, Redmond, Washington, USA SponsorsChaLearn, Microsoft, DREAM, IBM",1,bronze,4,Sun Sep 28 2014 09:18:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10472,/competitions/higgs-boson,None
/filipearantes,Using Self-Organizing Maps (SOM) in R,"Hi guys! I executed this code below: library(kohonen) train <- read.csv("".../data/train.csv"", header=TRUE) labels <- train[,1]train <- train[,-1] train <- data.matrix(train)som_grid <- somgrid(xdim = 20, ydim=20, topo=""hexagonal"") system.time(som_model <- som(train, grid=som_grid, rlen=100, alpha=c(0.05,0.01), n.hood =""circular"", keep.data = TRUE )) Now, I would like to export result clustering. For example: row ,cluster1 ,02 ,23 ,34 ,95 ,86 ,7... ,... I read some tutorials about SOM in blogs and CRAN, but for me is difficult to solve alone. Can anyone help me?",4,None,1,Sun Sep 28 2014 22:42:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10475,/competitions/digit-recognizer,None
/pakozm,Gap between cross-validation and public test,"Dear competitors, we are suffering a very large drop between our cross-validation AUC and the AUC obtained in the public test. As example, a model with a cross-validation AUC=0.91 obtains an AUC=0.67 in the public test. - Our cross-validation uses K folds, where the number K depends in the number of preictal hours of each subject. - In this way, our folds are independent, so all sequences related with one hour recording are together in the same fold. - We compute AUC over all the subjects response, in the same way as it is done by Kaggle. We have improvements in our cross-validations, and values of AUC=0.91, but our improvements are not reflected in the leaderboard, and better cross-validated models achieve worst public test AUC than other models which perform worst in cross-validation results. Is anyone else suffereing this kind of problems? thanks!",2,bronze,17,Mon Sep 29 2014 11:41:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10477,/competitions/seizure-prediction,4th
/nhlx5haze,Third place Model Documentation,"Name: Courtiol Pierre Country: France Postal code: 94270 City: Kremlin-bicêtre Email: pierre.courtiol@free.fr Competition: Higgs Boson Machine Learning Challenge ## Summary The model is an ensemble of 108 neural networks. ## Features Selection / Extraction All features were normalized to have zero mean, stddev 1. The training data was used as given.After a GA search, several attributes did not seem relevant (no CV score improvement) but I finally decided to keep them all.Cake features did not significantly improve the CV score. ## Missing data imputation Simple imputation rules (min, median, mean, max) were used in equal proportions.Regression imputation brought worse results. ## Modeling Techniques and Training Every neural network in the ensemble predicts the probability of an examplebeing a signal. The probabilities predicted by networks in the ensemble weresimply averaged. All Predictions are in [0 ... 1] range and those above 0.5575 were predicted to be a signal.This cutoff value was hand-selected based on the public leaderboard and CV. The ensemble is composed of these neural networks' architectures in equal proportions : - 30x50x1- 30x50x25x1- 30x50x50x25x1 The network was trained with cross-entropy loss and backpropagation, hidden and output layers had sigmoid activation. Signal weights were updated as follow :signal_weights = signal_weights * max(backgroung_weights) / max(signal_weights) / 10 The first epochs were trained without weights.The last epochs were trained with weights. Very small batch size (10) ## How To compile Into the source directory, execute the MATLAB compiler as follow : - mcc -m main.m (to create binary which runs the training)- mcc -m testing.m (to create binary which runs the prediction) Then move : - main.exe in higgsml-train directory- testing.exe in higgsml-run directory ## How To Generate the Solution $ higgsml-train.bat <training.csv> <trained.dat> to create a trained.dat file from the training.csv sample. $ higgsml-run.bat <test.csv> <trained.dat> <submission.csv> to create the submission.csv file from the test sample and the training parameters ## Computation time The code was designed for Quad core processor. On my two-year-old laptop : - 3 hours for training step- 20 minutes for running step The score can be slightly improved by increasing ensemble size ## Additional Comments and Observations There were many other things that did not work for me,among them: - Negative correlation learning to improve the diversity of the ensemble - Attribute selection with GA - Boosting (AdaBoost, ModestBoost, ...) - Add noise to reduce overfitting - Bagging - Semisupervised learning with Kmeans, EM - DropConnect - DropOut - Pseudo labeling. - Stacking and many others things ... ## Dependencies DeepLearn Toolbox was my starting point : https://github.com/rasmusbergpalm/DeepLearnToolbox MATLAB Parallel Computing Toolbox : http://www.mathworks.com/products/parallel-computing/ MATLAB Compiler Runtime (MCR) : http://www.mathworks.com/products/compiler/mcr/index.html?s_tid=gn_loc_drop [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55390/1606/nhlx5haze.rar",14,silver,1,Mon Sep 29 2014 17:15:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10481,/competitions/higgs-boson,3rd
/gaborfodor,Questions about the test set,"1) Was the Train/Test split random? 2) Was the Public/Private split random (per file or per hour)? 3) Does the ""time machine rule"" apply to this competition too? http://www.kaggle.com/c/seizure-detection/forums/t/8347/using-test-set-distribution Edit: 1) The train/test split does not seem to be random: [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55399/1607/train_test_diff.PNG",1,bronze,2,Mon Sep 29 2014 20:34:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10484,/competitions/seizure-prediction,317th
/pcohen,Steep falloff,Does it seem unusual to anyone else that the score distance from 1st to 10th is roughly as large as 10th to 140th? Golden feature or overfitting the LB? Anyone in the top 4 care to comment?,1,bronze,7,Mon Sep 29 2014 22:22:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10485,/competitions/afsis-soil-properties,55th
/dremovd,Boosting tool advice,"Hello everybody! I don't want to have the top place only because I know that gradient boosting implementation in sklearn is bad. I advice to use other GB tool, for example XGBoost. This tool is significantly faster and gives slightly better results with approximately same parameters. You are welcome and good luck!",2,bronze,1,Tue Sep 30 2014 04:04:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10486,/competitions/competition-1-yandex-shad-mipt-fivt-ml-autumn-2014,2nd
/dwdii1,Training Data Set Profile,"Hi All, As part of an academic exercise, I created a data set profile for the training data set associated with this competition and wanted to sharing it with everyone. Hopefully it will be useful. I've attached it to this post, but it can also be found through the following link: [Link]:http://bit.ly/Zjx1vu Best of luck to you all! Daniel [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55421/1608/Project2-BikeSharingDemand-Dittenhafer.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55421/1609/Project2-BikeSharingDemand-Dittenhafer.pdf",3,bronze,1,Tue Sep 30 2014 04:47:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10487,/competitions/bike-sharing-demand,None
/ferg96,Date Format in Test.csv (R),"Hi, I've created a new variable on the training set that represents the hour of the day for each row. I've tried to apply the same code (in R) to the test data set but it won't work. Has anyone else had a similar experience?",0,None,2,Tue Sep 30 2014 15:42:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10490,/competitions/bike-sharing-demand,1268th
/dremovd,Как именно считается F1 метрика?,"Правильно ли я понимаю, что F1 мера считается по точности и полноте совпадению транскрипции как строки?",0,None,6,Tue Sep 30 2014 16:40:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10491,/competitions/nlp-competition-1-yandex-school-of-data-analysis-fall-2014,12th
/podragu,Numbers and Punctuation,"The task states ""For each sentence in the test set, we have removed exactly one word. "". Does ""word"" in this context mean ""group of non-space characters"", i.e. including numbers, punctuation and combination thereof, or does it mean ""group of letters, most likely found in an dictionary""?",0,None,1,Tue Sep 30 2014 20:04:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10492,/competitions/billion-word-imputation,7th
/btgraham,Train you very own deep convolutional network,"Attached is a (new) implementation of a ""spatially-sparse"" convolutional network (http://arxiv.org/abs/1409.6070). Step 1) Look at the README file.Step 2) Define a network architecture in terms of LeNet style layers. The input layer can be much larger than 32x32, and it will still run relatively efficiently (sparsity!). Be sure to include lots of Network-In-Network layers. [See runCifar10Kaggle.cu]Step 3) Specify some kind of affine distortion to apply to the training data. [See OpenCVPicture_AffineTransform.h]Step 4) Hope it all compiles. Step 5) Run it for a long time; hope it does not crash. Requirements: CUDA (sm_20), OpenCV, Boost and a reasonably fast GPU [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55439/1610/sparseConvNetKaggleCifar10Edition.zip",27,gold,7,Tue Sep 30 2014 22:02:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10493,/competitions/cifar-10,1st
/xiaozhouwang,Construct the data set,"Hi everyone, I just downloaded part of the data and am trying to understand the data first. And I am a bit confused right now. So the competition can be viewed as a two-class classification problem, and it is almost all about feature extraction. My question is, for instance, can we take files Dog_1_interictal_segment_0001.mat Dog_1_interictal_segment_0002.mat ..... Dog_1_interictal_segment_0006.mat and do whatever extraction to them, then classify it as ""interictal"", use it as one example in our training data. and then take interictal_segment_0007 to 00012, classify as another ""interictal"" etc. And similarly, take Dog_1_preictal_segment_0001.mat ---- Dog_1_preictal_segment_0006.mat do feature engineering, and classified as ""preictal"". Since 6 mat files combined represents one hour prior activity, I think every 6 files should be considered as one example in our models. But the problem is, the test mat files are not organized this way, so it seems not appropriate to do it this way. Or, maybe, we can consider each mat file as one row in constructing the training data space? Please anyone gives anyone suggestion would be very appreciated! Best,",0,None,3,Wed Oct 01 2014 04:15:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10495,/competitions/seizure-prediction,None
/jeeban,# of uploads per day should be more than 3 ,"Hi Organizer, I request you to increase the number of uploads per day from 3 to 5 as over fitting too prominent here . If you keep the cutoff of 3 its very difficult for us to upload the good model. Looking forward to your response! Regards, Jeeban",-11,None,9,Wed Oct 01 2014 09:44:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10496,/competitions/afsis-soil-properties,39th
/johncandido,Monte Carlo Simulation of Leaderboard Outcomes,"I'm wondering if it's even possible with cross validation to secure a score that will be able to overcome the giant standard deviation occurring between the public and private leaderboard, especially given the standard deviation of P. It got me thinking about running a Monte Carlo simulation of different outcomes between the Public and Private Leaderboard. I don't have the time at the moment, but thought it might be interesting to do a simple study where you take the cross validated mean and standard deviation, then run simulations based on 13% and 87% trials of the test set. Compare the potential wild variations between the two. Anyone do this experiment? Even still, there is an unknown second order error on the cross validation scores, since data in the test set is fundamentally different, but it'd still be interesting to see as a best case scenario.",0,None,1,Wed Oct 01 2014 17:38:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10498,/competitions/afsis-soil-properties,130th
/drsnuggles0,My submission sucks!,"Hi Kagglers, I am very new at machine learning, and was hoping to have this as a fun little learning project. Unfortunately, I have hit a snag. My solution scores incredibly bad (even worse than the null submission), and I just cannot figure out why! My approach is to look at the spectrum data only. For preprocessing, I am using a basic Savitzky-Golay smoothing filter. For regression, I am using an implementation of LS-SVM for Matlab (LS-SVM Lab v. 1.8). I must be doing something incredibly wrong. Does anyone have any suggestions on how I can troubleshoot this issue? Best regards, Dr. Snuggles",0,None,9,Wed Oct 01 2014 19:54:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10499,/competitions/afsis-soil-properties,491st
/abhimanipal,Radom Forest - Huge Disparity between OOB Error and test data error,"Hello everybody, my name is Abhi and I am trying to teach myself data science by solving problems on Kragge. I had a quick question on random forest. I am building my model in R and am using the randomForest package. My current model has 7 features and I see OOB error rate of about 14%. I also ran the rfcv in the random forest package to see how the error varies with the number of features. Here also I see an error rate of about 15% for 7 features. However now when I apply this model to the test data my error rate blows up to 30%. Is this possible or is there an error in my code?",2,bronze,11,Thu Oct 02 2014 04:40:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10500,/competitions/forest-cover-type-prediction,424th
/bluetrin,Getting started with Python3 in Windows,"I modified the script so it can run Python 3. Also if you have missing DLLs, you can use the libraries which have been statically linked available here (for x64 pythong 3 users under Windows) http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy """""" Writing my first randomforest code.Author : AstroDaveDate : 23rd September 2012Revised: 15 April 2014please see packages.python.org/milk/randomforests.html for more"""""" import sysimport pandas as pdimport numpy as npimport csv as csvfrom sklearn.ensemble import RandomForestClassifier# Data cleanup# TRAIN DATAtrain_df = pd.read_csv('train.csv', header=0) # Load the train file into a dataframe# I need to convert all strings to integer classifiers.# I need to fill in the missing values of the data and make it complete.# female = 0, Male = 1train_df['Gender'] = train_df['Sex'].map( {'female': 0, 'male': 1} ).astype(int)# Embarked from 'C', 'Q', 'S'# Note this is not ideal: in translating categories to numbers, Port ""2"" is not 2 times greater than Port ""1"", etc.# All missing Embarked -> just make them embark from most common placeif len(train_df.Embarked[ train_df.Embarked.isnull() ]) > 0: train_df.Embarked[ train_df.Embarked.isnull() ] = train_df.Embarked.dropna().mode().valuesPorts = list(enumerate(np.unique(train_df['Embarked']))) # determine all values of Embarked,Ports_dict = { name : i for i, name in Ports } # set up a dictionary in the form Ports : indextrain_df.Embarked = train_df.Embarked.map( lambda x: Ports_dict[x]).astype(int) # Convert all Embark strings to int# All the ages with no data -> make the median of all Agesmedian_age = train_df['Age'].dropna().median()if len(train_df.Age[ train_df.Age.isnull() ]) > 0: train_df.loc[ (train_df.Age.isnull()), 'Age'] = median_age# Remove the Name column, Cabin, Ticket, and Sex (since I copied and filled it to Gender)train_df = train_df.drop(['Name', 'Sex', 'Ticket', 'Cabin', 'PassengerId'], axis=1)# TEST DATAtest_df = pd.read_csv('test.csv', header=0) # Load the test file into a dataframe# I need to do the same with the test data now, so that the columns are the same as the training data# I need to convert all strings to integer classifiers:# female = 0, Male = 1test_df['Gender'] = test_df['Sex'].map( {'female': 0, 'male': 1} ).astype(int)# Embarked from 'C', 'Q', 'S'# All missing Embarked -> just make them embark from most common placeif len(test_df.Embarked[ test_df.Embarked.isnull() ]) > 0: test_df.Embarked[ test_df.Embarked.isnull() ] = test_df.Embarked.dropna().mode().values# Again convert all Embarked strings to inttest_df.Embarked = test_df.Embarked.map( lambda x: Ports_dict[x]).astype(int)# All the ages with no data -> make the median of all Agesmedian_age = test_df['Age'].dropna().median()if len(test_df.Age[ test_df.Age.isnull() ]) > 0: test_df.loc[ (test_df.Age.isnull()), 'Age'] = median_age# All the missing Fares -> assume median of their respective classif len(test_df.Fare[ test_df.Fare.isnull() ]) > 0: median_fare = np.zeros(3) for f in range(0,3): # loop 0 to 2 median_fare[f] = test_df[ test_df.Pclass == f+1 ]['Fare'].dropna().median() for f in range(0,3): # loop 0 to 2 test_df.loc[ (test_df.Fare.isnull()) & (test_df.Pclass == f+1 ), 'Fare'] = median_fare[f]# Collect the test data's PassengerIds before dropping itids = test_df['PassengerId'].values# Remove the Name column, Cabin, Ticket, and Sex (since I copied and filled it to Gender)test_df = test_df.drop(['Name', 'Sex', 'Ticket', 'Cabin', 'PassengerId'], axis=1)# The data is now ready to go. So lets fit to the train, then predict to the test!# Convert back to a numpy arraytrain_data = train_df.valuestest_data = test_df.valuesprint('Training...')forest = RandomForestClassifier(n_estimators=100)forest = forest.fit( train_data[0::,1::], train_data[0::,0] )print('Predicting...')output = forest.predict(test_data).astype(int)if sys.version_info >= (3,0,0): predictions_file = open(""myfirstforest.csv"", 'w', newline='')else: predictions_file = open(""myfirstforest.csv"", 'wb')open_file_object = csv.writer(predictions_file)open_file_object.writerow([bytes(""PassengerId"", 'UTF-8'),bytes(""Survived"", 'UTF-8')])open_file_object.writerows(zip(ids, output))predictions_file.close()print('Done.')",2,None,1,Thu Oct 02 2014 13:52:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10501,/competitions/titanic,None
/dremovd,Team up! Ищу сокомандников! ,"Всем привет! Я хотел бы воспользоваться тем, что задание командное (вплоть до трёх человек). Хочу найти как минимум одного человека который готов хотя бы один полный день своего времени этому посвятить. Сам планирую потратить на это ближайшее воскресенье, так что буду рад если есть возможно выделить на это время в тот же день. Минусы: Меня не было на первых семинарах, а записи нет, так что я очень приглашаю человека который на семинары ходил. Плюсы: Имею опыт участия в ML соревнованиях, настроил окружение, ipython notebook и pyfst у меня работают отлично, baseline решение я уже воспроизвёл :)",0,None,1,Thu Oct 02 2014 14:13:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10502,/competitions/nlp-competition-1-yandex-school-of-data-analysis-fall-2014,12th
/chalmi,Latex equations are not redeabile,"There are some problems with parsing latex code in evaluation page. In Mozilla and Chrome I see only latex code, not equations. Could you please fix this, it's very hard to read latex code :-) [sorry for the typo in title, I can't find how to edit this]",2,None,3,Thu Oct 02 2014 17:35:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10506,/competitions/tradeshift-text-classification,None
/dyakonov,Data loading (for  Matlab users),Run sc_postload.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55506/1612/sc_loaddata.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55506/1613/sc_postload.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55506/1614/sc_loaddata3.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55506/1615/sc_loaddata2.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55506/1616/sc_loaddata4.m,3,bronze,3,Thu Oct 02 2014 18:24:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10507,/competitions/learning-social-circles,11th
/chalmi,Why is the meaning of the features and classes not provided?,"Usually in machine learning additional fundamental knowledge about the meaning of features can help (and it's up to data scientist if he decides if it's better to use it or to ignore it - sometimes a bit of fundamental knowledge can save a lot of computations, whilst on other occasions intuitions can lead wrongly. But this is a part of the art to choose a right scenario). Is there any important reason why the meaning of features and classes is hidden in this project? [sorry again, this time for a grammar mistake, in title. Is there any way to edit it?]",1,None,1,Thu Oct 02 2014 20:39:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10509,/competitions/tradeshift-text-classification,None
/rohanrao,Label y14,"The train data doesn't have any observation which is classified for y14. It may not be a data issue, but just wanted to confirm if this is fine and expected? Maybe it is a very rare label?",4,bronze,7,Thu Oct 02 2014 21:09:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10511,/competitions/tradeshift-text-classification,13th
/anoophallur,Purpose of hashing function,"Is the purpose of hashing function on text fields to protect pricacy ? If not, is there any way to convert the hash into text and extract meaningful features. Dealing with hash values as features in itself is a very difficult. I did not get any meaningful ways to interpret hash functions. Can anyone shed light on how to deal with these?",1,None,8,Thu Oct 02 2014 23:12:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10512,/competitions/tradeshift-text-classification,345th
/slobo777,All zeros benchmark should score infinity?,"According to the evaluation page, predicting a 0 when the true value is 1 should be very heavily penalised by the log function. But the score seems much more reasonable. Have I misunderstood the evaluation? Update: I missed this: In order to avoid infinite values and resolution problems, the predicted probabilities ŷij are bounded within the range [10−15,1−10−15].",2,bronze,1,Fri Oct 03 2014 09:26:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10514,/competitions/tradeshift-text-classification,234th
/jamesdlawrence,Will we beat the benchmark?,"This competition seems to have a very competitive benchmark. Combined with the fact that we don't know what any of the variables correspond to in real life, do people reckon we can actually improve on it? No doubt, Abhishek will have submitted his ""beat the benchmark"" by time I've written this and we can all have a jolly good laugh at my anti-hubris :)",1,bronze,2,Fri Oct 03 2014 13:47:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10515,/competitions/tradeshift-text-classification,325th
/christianputter,Introduction to Data science,"hi, i am in Need of a good presentations, that explains the topic Data Science for Senior managers! Any hints? christian",0,None,2,Fri Oct 03 2014 15:35:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10516,None,None
/ggglhf,"30, 70 or 70, 30?","On the public [Link]:http://www.kaggle.com/c/tradeshift-text-classification/leaderboard, it states This leaderboard is calculated on approximately 30% of the test data.The final results will be based on the other 70%, so the final standings may be different. While, on the [Link]:http://www.kaggle.com/c/tradeshift-text-classification/data it is Data dimensions Number of samples (N): ~2.1M (80% training, 20% testing) Number of features (M): 145 Number of labels (K): 33 The test data is split into public (70%) and private (30%) sets, which are used for the public and private leaderboards. I'm trying to decide how much examples to include to my validation set. It would be really helpful if any admin can help confirm which of the above is true. Thanks ;)",5,silver,1,Fri Oct 03 2014 17:43:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10517,/competitions/tradeshift-text-classification,53rd
/triskelion,Random Forest Benchmark,"TL;DR This benchmarks prepares the datasets for use with tree-based methods, such as Random Forests, and provides code for a sklearn demo submission. Data Reduction Data can be cleaned (replace empty values), vectorized (hashes to counts) and reduced (trainsize ~2.2GB to ~1.7GB) using the function ""reduce_data"". Reduced data is stored as a CSV-file, which one may use in other programming languages and tools. Hashes are vectorized to their count occurrence in train set, not one-hot-encoded, to keep dimensionality low and suited for tree-based methods. Experimenting with your own feature generation/encoding may prove beneficial here. Evaluation Metric This evaluation metric seems pretty strict. Unlike AUC, where the ranking matters, here it hurts to predict 0.2 when the target is 0. That is why I chose hard [0-1] predictions for now, not probabilities. Random Forests A demo is provided to read the reduced datasets with [Link]:http://pandas.pydata.org/. To prevent memory errors, only 1 million samples from the train set are used for training. The [Link]:http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.htmlhas 16 estimators. It runs a single CPU job, to prevent memory errors during pooling. Bagging & Blending It's interesting to try stacked generalization on this challenge. Also to combine many different forests, through bagging. This would allow one to train multiple powerful algorithms on large datasets, without having access to a supercomputer. Other Algorithms Next to random forests, the related ""extremely randomized trees"" and ""regularized greedy forests"" can give good results. This reduced dataset may also lend itself for gradient boosting. Online learning may shine with a higher dimensionality (next to try). Public Leaderboard Score The score should be around 0.1022051 Time and Memory Reducing the data took 5 minutes and train_testing the model took 20 minutes with a single job. Benchmark should be able to run on 8GB laptop, and can be downscaled or upscaled depending on memory. To Conclude Thanks to Kaggle and Tradeshift for organizing this challenge. Thanks to Pandas and scikit-learn for being awesome opensource tools. For future updates on my progress in this competition come visit my blog (mlwave.com) or follow me on twitter (@mlwave). Questions, feedback and horrifying tales about overfitting always welcome. Happy competition! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55563/1617/kaggle_tradeshift.py",14,gold,21,Fri Oct 03 2014 18:27:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10518,/competitions/tradeshift-text-classification,112th
/realdeo,Does y33 almost decides everything?,"(Can be a data leak) I noticed when y33 is 1, y1-y32 is automatically 0. Is this expected? Or I just make wrong observation?",0,None,1,Sat Oct 04 2014 06:08:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10521,/competitions/tradeshift-text-classification,331st
/kaguiar,Error Downloading the Data,"Did anyone have problems to download the Dog_4, Patient_1 and Patient_2 tar files? I have been unsuccessful every time I tried to download those specific files .",0,None,1,Sat Oct 04 2014 16:51:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10523,/competitions/seizure-prediction,None
/bensolucky,Top/SubSoil Features,"Anybody try creating new features using pairs of topsoil / subsoil? I tried taking spectral differences between each pair. The new features got such a poor CV that I wonder if there's just a bug in my code. Another idea is to use the topsoil spectrum as additional features for subsoil predictions, and vice-versa. Would love to hear if somebody else finds this works!",1,bronze,5,Sat Oct 04 2014 18:41:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10524,/competitions/afsis-soil-properties,452nd
/del=138ec6954f19da2c,Can we use any language we want in competitions?,"Hi all, Can we use any programming language we want in the competitions? BR",0,None,2,Sat Oct 04 2014 21:03:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10525,None,None
/breakfastpirate,Sentinel Landscape Analysis,"I’m doing an analysis of the 60 Sentinel Landscapes, and I thought I would share what I’ve done. I don’t know if it will help anyone improve their score, but some may find it interesting. I first grouped all the rows in the training and test data by which Sentinel Landscape they are in. Second, for each Sentinel Landscape, I found the average value for each of the 3500+ variables. Next, I found the distance between each pair of Sentinel Landscapes (using only the mid-infrared absorbance measurements). These distances were then projected onto two dimensions using Multidimensional Scaling, and this is plotted in the scatterplot below. Points 1 to 37 are in the training set. Points 38 to 60 are in the test set. The closer two points are, the smaller the Euclidean distance between those two Sentinel Landscapes’ mid-infrared absorbance measurements. The R code for doing this is in landscapedists.R. The code uses the two files groupings_train.csv and groupings_test.csv which map values of TMAP to Sentinel Landscape (aka “Group”). I had to make some educated guesses on the groupings for the test set, but I believe they are correct given similar TMAP and ELEV. Corrections & suggestions for improvement are welcome! It might be interesting to see the distances based only on certain subsets of the mid-infrared absorbance measurements. EDIT: The image didn't show up when I inserted it so I'm attaching it in the file SentinelLandscapeDistances.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55620/1619/groupings_test.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55620/1620/landscapedists.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55620/1621/groupings_train.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55620/1622/SentinelLandscapeDistances.jpeg",23,gold,30,Sun Oct 05 2014 00:40:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10527,/competitions/afsis-soil-properties,32nd
/jontapson,AUC issues,"Hey Folks Looking for some insight here. I have tried submitting files for individual subjects (with other subjects filled with zeros), to see how they do, but I am puzzled because they often return AUC < 0.5, suggesting that they are worse than random. So I just tried submitting a set (Dog 5) which returned 0.49813, then I inverted that set (1 - values) which should in principle have an AUC > 0.5, but it didn't - it returned 0.49805. So clearly, I am thinking too simplistically about AUC, if both the data set and its inverse return AUC < 0.5. Anyone have any thoughts on this? What am I missing?",0,None,9,Sun Oct 05 2014 10:22:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10528,/competitions/seizure-prediction,None
/reza19,Use of data for papers?,could we use the data for papers? thanks.,0,None,1,Sun Oct 05 2014 15:05:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10530,/competitions/RTA,None
/abhimanipal,R - randomForest - rfcv function - explanation in laymans terms,My name is Abhi and I am trying to teach myself data science by solving problems on the internet. In my current model I am using a random forest & the rfcv function to test the performance of the model. My current understanding of this function is that this provides the cv error as we gradually reduce the number of features. But can some one help me answer the following questions(a) How should I choose the value for the scale & step parameter? What factors influence this? (b) When I create the radomFores model there is a way to provide the nodeSize. How do I do this in the rfcv function Thanks all. Any help is appreciated,0,None,2,Sun Oct 05 2014 16:27:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10532,/competitions/forest-cover-type-prediction,424th
/milakov,Some data files for Patients are 2x larger,"Hi, I noticed that some data files for Patients ae 2x larger than other files. The majority of mat files for Patient_1 are 87 MB, but some files, for example Patient_1_interictal_segment_0016.mat, are twice as large, 175MB. Why so?",0,None,2,Sun Oct 05 2014 20:09:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10533,/competitions/seizure-prediction,None
/abhimanipal,Soil Type - Separate Variables or Coallesce,"Hi Guys, I have a quick question. There are 40 variables one for each soil type. Does it make more sense to treat these variables separately or coalesce them into 1 variable which has 40 possible values? What are the pros and cons Any help would be appreciated.Cheers",1,None,3,Mon Oct 06 2014 00:38:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10535,/competitions/forest-cover-type-prediction,424th
/ggglhf,Beat the benchmark with less than 400MB of memory.,"Dear fellow Kagglers This is a pure online learning (one pass, no preprocessing) benchmark, that uses logistic regression with hash trick and adaptive learning rate. All details can be found in the comments of the code. Training time, on a single Intel(R) Xeon(R) CPU E5-2630L v2 @ 2.40GHz Python2 & 3: ~ 120 minutes PyPy: ~ 10 minutes Memory usage Python2 & 3: ~ 1GB PyPy: ~ 400MB Leaderboard performance With the parameters provided in the code, a public leaderboard score of 0.0109072 can be achieved, however YMMV due to the implementation of Python's native hash() function (hash values may differ from machine to machine). The entire algorithm is disclosed, while using only out of the box modules provided by Python, so it should also be an easy sandbox code to build new ideas upon. Good luck and have fun! UPDATE [Link]:http://www.kaggle.com/c/tradeshift-text-classification/forums/t/10537/beat-the-benchmark-with-less-than-400mb-of-memory/56165#post56165 [Link]:http://www.kaggle.com/c/tradeshift-text-classification/forums/t/10537/beat-the-benchmark-with-less-than-400mb-of-memory/56182#post56182 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55667/1629/fast_solution.py",77,gold,119,Mon Oct 06 2014 06:45:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10537,/competitions/tradeshift-text-classification,53rd
/saikumarallaka,How much domain knowledge is needed to enter the competition,"Hi All I have few questions: 1. Do we need to know different epilepsy's and their patterns? 2. How to read EEG? 3. Each electrode produces different electrical charges, so should i know more about electrode positions?",0,None,3,Mon Oct 06 2014 07:29:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10538,/competitions/seizure-prediction,270th
/damian4,"Good cross-validation, poor test set result","Hi, I am using a one-classifier-per-patient-approach. I get very nice results when cross-validating my classifier on the labeled data (AUC ~0.9). But when I evaluate it on test data, kaggle returns an AUC of 0.52. Is the test set data that different? Has anyone else made such experience? Best regards, Damian",0,None,21,Mon Oct 06 2014 20:52:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10542,/competitions/seizure-prediction,371st
/austinpizza,Is this problem difficult?,"Hi guys! I'm taking a course called ""Data Mining"" and thinking about using this challenge as my final project. We have a team of 5 people, all of us new to data mining. We have less than 2 months to finish the project. Do you think this will be too difficult for us? Any comment will be helpful, thank you guys!",0,None,2,Tue Oct 07 2014 03:11:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10544,/competitions/afsis-soil-properties,None
/hookemhorns,Resources for getting started,"Hi all. I am new to data mining and I want to do this competition to get started. Could anyone give a good initial point? suggesting models? which steps should I do? Thank you all, Good luck",0,None,6,Tue Oct 07 2014 04:37:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10545,/competitions/forest-cover-type-prediction,19th
/yanirseroussi,Blogging about Kaggle (beginner tips and competition summaries),"Hi all, I recently decided to commit more seriously to my blog, which is about data science and related areas. The [Link]:http://yanirseroussi.com/category/kaggle-2/ of the blog has been growing steadily and it now includes two posts aimed at beginners ( [Link]:http://yanirseroussi.com/2014/08/24/how-to-almost-win-kaggle-competitions/ and [Link]:http://yanirseroussi.com/2014/01/19/kaggle-beginner-tips/), a post with links to [Link]:http://yanirseroussi.com/2014/04/05/kaggle-competition-summaries/ and a discussion of my solution to the recent [Link]:http://yanirseroussi.com/2014/10/07/greek-media-monitoring-kaggle-competition-my-approach/. My plan is to eventually convert all my old competition summaries into self-contained posts (the original summaries probably only make sense to people who competed), and write new ones if/when I do more competitions. I hope people find this useful. Any suggestions or comments are welcome. Cheers,Yanir",10,silver,4,Tue Oct 07 2014 06:13:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10546,None,None
/songgc,Document and code for the 3rd place finish,The document is attached here. The code can be found at [Link]:https://github.com/songgc/display-advertising-challenge. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55717/1636/Display-ad-challenge-Song.pdf,16,gold,4,Tue Oct 07 2014 07:37:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10547,/competitions/criteo-display-ad-challenge,3rd
/goldman88,Sentiment Analysis,"Dear All, How to check sentiment analysis on R?",-4,None,1,Tue Oct 07 2014 10:32:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10548,None,None
/kazanova,Masters' status definition?,"Hi, Nothing personal, but I noticed that Chih-Ming does not fullfill the old criteria to be a master (as in kaggle). I can still see that to get the master status you need: Consistency: at least 2 Top 10% finishes in public competitions Excellence: at least 1 of those finishes in the top 10 positions Did that change?",12,silver,2,Tue Oct 07 2014 11:07:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10549,/competitions/tradeshift-text-classification,8th
/ogencoglu,Couple of Ideas,"Hi there folks, Feels great to participate in such an interesting competition. Here are some ideas that seemed to work for my approach: approaching the problem as a classification one (at least rounding up the regression outputs). Please check the distribution of the target angles. CV is always a good idea feature scaling using the predictions/probabilities for an angle as additional features to the other angle prediction (in a witty way). Standard PCA did not really seem to work for my case but have not tried any complex supervised algorithms for dimensionality reduction. Best, Oguzhan [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55733/1637/target_distribution.png",2,bronze,4,Tue Oct 07 2014 15:23:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10550,/competitions/tut-head-pose-estimation-challenge,3rd
/mvictor0,Convolutional Neural Networks Using Theano,"From a quick literature review, it became quickly apparent that convolutional neural networks are among the best models for image recognition problems, as they are designed specifically to mimic the visual cortex. As a Pythonist, in the past I've steered away from using neural networks, mainly because there didn't seem to be many good libraries. For this competition I finally decided to jump in and try them anyway. There are some good tutorials based on Theano, on [Link]:deeplearning.net. In particular [Link]:deeplearning.net/tutorial/lenet.html is great for getting started with convolutional neural networks, and it is even focused on solving the MNIST digit recognition problem (though the split of training/test is different). I'm attaching my tweaked version of their tutorial here in an ipython notebook for those who would like to get started with CNNs but aren't sure where to turn. Just a warning though: I find Theano very non-intuitive, and somewhat non-pythonic. You should probably go through some of the full tutorial on Theano if you want to have a clue what is going on here: [Link]:deeplearning.net/software/theano/tutorial/. You'll need to make some changes yourself to the notebook to account for loading the data from the correct files/directory. Enjoy, and while it takes a long time to run, this code should probably get you up around 99% fairly easily. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/55738/1638/Theano Tutorial.ipynb",16,bronze,4,Tue Oct 07 2014 16:53:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10552,/competitions/digit-recognizer,None
/devcon,document segmentation,Can you tell what samples belong to the same document? I'd like to work on features on the document level but not if the samples are shuffled.,0,None,2,Tue Oct 07 2014 20:08:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10553,/competitions/tradeshift-text-classification,124th
/dustinthewind,"""Embarked"" has 4 factor levels in the training set.","Hi there, I want to implement Random Forest in R using library(randomForest) but I get an error message when I try to make prediction on the test set to submit the results r.forest=randomForest(Survived~ Pclass+Sex+Age+SibSp+Parch+Fare+Embarked, data=titanic_train) forest.pred=predict(r.forest, newdata=titanic_test, type=""class"") Error in predict.randomForest(r.forest, newdata = titanic_test, type = ""class"") : Type of predictors in new data do not match that of the training data. I've ensured that all variables are of the same class (int, num, factor, etc). After examining both the training and test data sets with str() command I noticed that ""Embarked"" in the training set has one additional level - "","". I've tried to delete the entire row, but I can't locate it through command which(titanic_train$Embarked=="",""), which returns integer 0 droplevels() hasn't helped either. Could you please point out what I'm missing?",0,None,9,Tue Oct 07 2014 20:25:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10554,/competitions/titanic,None
/abhishek,Team Mergers,"Im looking for a team (individual) to merge with in order to share ideas and combine models. If anyone is interested, please mail me :P",0,None,5,Wed Oct 08 2014 14:16:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10559,/competitions/afsis-soil-properties,7th
/mike64,HELP! HASH VALUES,"Hi, I would be very grateful if someone could explain me how to deal with the hash values! I dont understand how it can be applied the bag of words to the hash values (or hashing trick). The hash variables have a length of 44 characters.... Each character is considered separately or otherwise considered as a single word? It is true that many are repeated but the vast majority do not. How can i clustering or categorize the 1.700.000 values? How many categories? Thanks a lot",6,bronze,8,Wed Oct 08 2014 17:30:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10561,/competitions/tradeshift-text-classification,None
/abhimanipal,Caret - GBM - Cross Validation - Takes an extremely long time to complete,"Hi Guys,My name is Abhi. I am trying to use gbm in the caret package for this problem. I want to do some cross validation to get the ideal values for the tuning parameters but the scripts are taking an extremely long time to complete (most of the time I have to kill R). Here is my code. myTuneGrid <- expand.grid(n.trees = 1:500,interaction.depth = 1:22,shrinkage = 0.1) fitControl <- trainControl(method = ""repeatedcv"", number = 7,repeats = 1, verboseIter = FALSE,returnResamp = ""all"") myModel <- train(Cover_Type ~ .,data = modelData,method = ""gbm"",trControl = fitControl,tuneGrid = myTuneGrid) Am I doing something wrong here? Any tricks to optimize the performance? Any help would be appreciated",0,None,5,Thu Oct 09 2014 04:18:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10562,/competitions/forest-cover-type-prediction,424th
/dscientist,any idea how to load the data to R !,I tried read.csv() and it takes looong time. and didn't load the data. any of u have any idea how to do this ?,0,None,7,Thu Oct 09 2014 06:10:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10563,/competitions/tradeshift-text-classification,348th
/arnocandel,Ensemble Deep Learning from R with H2O Starter Kit,"Here's an example ""starter"" R script to obtain a mediocre LB score of 0.439 with a simple ensemble of 20 deep learning models built with H2O, the distributed open-source big data science engine. Not yet done: Stacking/Blending/Tuning. This just shows a concept of how to use H2O Deep Learning for Kaggle competitions. Slides: http://www.slideshare.net/0xdata/how-to-win-data-science-competitions-with-deep-learning Code: https://github.com/0xdata/h2o/blob/master/R/examples/Kaggle/MeetupKaggleAfricaSoil.R Booklet on how to use H2O Deep Learning: https://github.com/0xdata/h2o/raw/master/docs/deeplearning/DeepLearningBookletV1.pdf",10,silver,49,Fri Oct 10 2014 08:31:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10568,/competitions/afsis-soil-properties,817th
/ogencoglu,Change of Paradigm,"Hi, I had this idea of turning the whole problem into a multi-label classification task and I managed to improve my scores immediately. Basically, for each observation, I concatenated the target vectors for both angles obtaining a length-22 vector (9 classes from angle-1, 13 from angle-2). The new target vector is k-hot (actually always 2-hot in this case) encoded instead of 1-hot (all 0s except one class being 1, i.e., binary/orthogonal encoded). This way, one also avoids separate training for both angles. There is only one training. There is room for improvement with hyperparameter optimization but I do not think I have time for that so I conclude my competition here. Best, Oguzhan",1,bronze,1,Fri Oct 10 2014 11:04:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10569,/competitions/tut-head-pose-estimation-challenge,3rd
/samanthalui,Passengers Paid No Fare,"Just realized that 15 passengers including the Jonkheer and a Knight(Jk) in the training set paid no fare! And interestingly, all of them embarked ""alone"" from Southampton, most of them were in the first or second class with their age unknown, and all but one (from the third class) of them survived. Any insight to that? I was thinking they were either the staff or the secret bodyguards to the Jonkheer.",4,None,2,Fri Oct 10 2014 11:47:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10570,/competitions/titanic,None
/learts,Discrepancies between CV score and public score.,"Hi guys, Using ShuffleSplit I get constantly underestimated CV scores: 0.41 +/- 0.1 while the public score is about 0.48. This is with 90% train, 10% test split. Using 40% train, 60% test my CV scores goes up to 0.44, still underestimated. I even tried splitting train/test data according to the day number, so the same split the contest uses, and the CV score still is about 0.44-45 for a submission that gets 0.48-0.49 Do you have any idea why this could happen? Is it normal or too much? I'm a newbie and would like to understand. Thanks!",0,None,5,Fri Oct 10 2014 21:24:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10572,/competitions/bike-sharing-demand,1134th
/abhimanipal,R - Caret - Using ROC instead of accuracy in model training,"Hi my name is Abhi and I am using caret to build a gbm trees based model. However instead of accuracy I would like to use roc as my metric Here is the code I have so far myTuneGrid <- expand.grid(n.trees = 500,interaction.depth = 11,shrinkage = 0.1) fitControl <- trainControl(method = ""repeatedcv"", number = 7,repeats = 1, verboseIter = FALSE,returnResamp = ""all"",classProbs = TRUE) myModel <- train(Cover_Type ~ .,data = modelData,method = ""gbm"",trControl = fitControl,tuneGrid = myTuneGrid,metric='roc') However when I run this code I get a warning Warning message:In train.default(x, y, weights = w, ...) : The metric ""roc"" was not in the result set. Accuracy will be used instead. How do I force my model to use roc instead of accuracy. What am I doing wrong here?",1,None,3,Fri Oct 10 2014 21:51:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10573,/competitions/forest-cover-type-prediction,424th
/shuvrobiswas,Reproducing the Evaluation Criterion,"Hello All, I am trying to reproduce the evaluation criterion. I am using the following code to compute the levenshtein distance between two sentences: http://hetland.org/coding/python/levenshtein.py On the leaderboard, submitting the test data set (without any modifications), yields a score of 5.55. So my idea was to take the training data set and: For n sentences, randomly delete a word other than the 1st or last word. Then compute the levenshtein distance between the original sentence, and the deleted version of the sentence. Then get the average levenshtein for the n sentences and their counterparts containing a deletion. If n is high enough, the average levenshtein distance should be similar to what is on the leaderboard when submitting the unaltered test data set: 5.55. However, for n=100000, I get an average levenshtein distance of 6.57 on the training data set. So it seems I am off by one. I am wondering how exactly the levenshtein distance is computed for evaluating submissions. Are the weights for insertions deletions and substitutions all 1, or is a different weighting scheme involved?",0,None,2,Sat Oct 11 2014 04:29:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10574,/competitions/billion-word-imputation,11th
/dremovd,Baseline решение не работает на train выборке / странности в train выборке,"Всем привет. У меня два вопроса: Верно ли у меня выходит, что baseline решение начинает кушать бесконечно памяти на каком-то примере в train выборке? Может кто-то знает на каком, чтобы его просто выкинуть? Что это за циферки около слов типа ""Blabla(2)""?",1,bronze,3,Sat Oct 11 2014 06:18:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10575,/competitions/nlp-competition-1-yandex-school-of-data-analysis-fall-2014,12th
/dremovd,Автоматические методы,"Всем привет! А получилось ли у кого-то применить сколько-то автоматические методы? Я сейчас пробую генерировать правила из слова и смотреть как это влияет на качество на train, но боюсь что это приведет к переобучению. Что думаете, может кто-то поделится идеей которую самому неохота проверять? :)",0,None,2,Sat Oct 11 2014 14:27:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10576,/competitions/nlp-competition-1-yandex-school-of-data-analysis-fall-2014,12th
/siddjain,Unable to extract files on windows,How do you extract the files on windows? I downloaded two files and tried to extract them using 7 zip. In both cases the program did not complain but extracted a single file without any extension e.g.: Dog_1.gz -> Dog_1 Dog_5.gz -> Dog_5 could anyone explain me how to extract the gz files on windows?,0,None,5,Sat Oct 11 2014 20:59:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10577,/competitions/seizure-prediction,451st
/snowdog,bag of words dimension,"Maybe i didn't understand the concept of applying the bag of words, or i'm mixing different things. For example, this R function can take a data frame of string features and return a binary matrix: bag.words = function(x){ bag = unique(unlist(x)) idx = apply(x, 2, match, bag) m = matrix(0, nrow = nrow(x), ncol=length(bag)) sapply(1:nrow(m), function(r){ m[r, idx[r,]] <<- 1 }) colnames(m) = bag m} x = data.frame(w1 = c('aa', 'cc', 'ac', 'aa', 'cc'), w2 = c('ab','ac','ac','aa','ab')) bag.words(x) aa cc ac ab[1,] 1 0 0 1[2,] 0 1 1 0[3,] 0 0 1 0[4,] 1 0 0 0[5,] 0 1 0 1 So, if i apply this on the hash features my final dataset will have a gazillion dimensions because each hash is a 'word'. What i'm missing/mixing? Thanks!",0,None,4,Sat Oct 11 2014 23:10:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10578,/competitions/tradeshift-text-classification,94th
/xilnocas,SVM: Worthwhile or Pointless?,Still sufficiently new to machine learning so I'll ask you guys before I waste a couple days trying this. Is there anything about this dataset that makes and SVM a good or bad choice of learning algorithm? I appreciate any input you can give.,1,None,12,Sun Oct 12 2014 01:33:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10580,/competitions/titanic,None
/ngutten,Outlier removal and selection of efficient training sets,"Because of the scatter in the phosphorous data, I got to thinking about whether or not its really a good idea to include every data point we're given from the training set. I had a somewhat naive thought of taking my predictor and running the cross-validation many many times, each with a single data point removed from the training set (but never from the test set). Of course this is very slow - equivalent to 1100 runs of the predictor - and it feels like there's a huge danger of overfitting due to some of the results I've gotten so far. For example, changing the number of training data points changes the order of random numbers generated, which generates a non-zero average change in the CV score regardless of which points are removed (though the nice side effect is that this gives me an idea of how well I can trust my CV) So that seems a bit like a dead end. But it did get me to thinking - is there in some sense an optimal pattern of training data that would most efficiently induce a certain model in a particular algorithm? It seems sort of an arbitrary thing to look at, but I think algorithms like boosting are a sort of heuristic way of producing this kind of thing dynamically, for example. It seems sort of dual to feature selection. Has anyone encountered this kind of thing before in other contexts?",2,bronze,3,Sun Oct 12 2014 11:12:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10581,/competitions/afsis-soil-properties,23rd
/barisumog,Anyone who'd like to share their best CV scores?,"I believe most (if not all) competitors would agree the public LB is not exactly reliable in this competition. We're getting close to the end, and it's a bit frustrating not knowing where you stand. So I thought maybe some folks would be willing to share their local CV results, to get a rough idea of how they're doing. I'm aware the CV method (by sentinel landscapes, by locations, by rows, how many folds, etc) would greatly affect the scores, and any shared scores cannot be directly compared. I'm just curious about the general level of how others are doing. My current best CV scores are: Ca : 0.27 P : 0.81 pH : 0.35 SOC : 0.31 Sand : 0.34 With an overall score above 0.41. Anyone else who'd like to share?",2,bronze,15,Sun Oct 12 2014 19:19:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10582,/competitions/afsis-soil-properties,8th
/eldeeb,Failure of tree ensembles!?,"Has anyone managed to make tree ensemble models (random forests of gradient boosted trees) work for this data set? I am a big fan of said methods and it's the first time I see them fail so miserably on any data set. I tried applying them on all features or a subset of the spectral features, as well as some feature-space transformations that reduce the number of features, but I consistently get scores that are significantly lower than say SVMs.",0,None,3,Sun Oct 12 2014 22:39:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10584,/competitions/afsis-soil-properties,121st
/ofdomejean,gbm for classification,"Hi, I am using multinomial gbm in r for classification, the label I am using has arround five values, but when I make the prediction I do not get the values of the label insted I get a numeric response. Then, how do I get in the prediction the values of the label in order to calculate the confusion matrix. Thanks in advance BR",0,None,5,Sun Oct 12 2014 23:55:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10585,None,None
/rudikruger,Free stuff,Here is my solution [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56000/1655/gbm.R,1,bronze,1,Mon Oct 13 2014 07:51:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10586,/competitions/ga-data-science-workshop,1st
/karan12,log loss function returns negative values,"I am using a python function for calculating log-loss as shown [Link]:https://www.kaggle.com/wiki/LogarithmicLoss. When I try this with SVR algorithm, I get the resulting log-loss as negative value (-2). Does that mean SVR failed miserably in predicting/classifying the required feature? In general how do we interpret the log-loss results? (when using cross validation, I calculate mean of all folds) Asked the same question on crossvalidated.com [Link]:http://stats.stackexchange.com/questions/119834/what-does-a-negative-logloss-value-indicate",0,None,3,Mon Oct 13 2014 08:03:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10587,None,None
/tudorberariu,MD5 sum of tar.gz files,"I have some problems extracting the data from the archives. Could someone post the MD5 sums of the tar.gz files, please?",0,None,2,Mon Oct 13 2014 13:40:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10588,/competitions/seizure-prediction,None
/deanolin,Minimum prerequisites for reasonably doing data science,"Hi Folks, I'm currently a freshman in college and am interested in data science. I am currently taking Calculus 1, Stats 1, and have completed Udacity's Intro to Programming using Python. Am I wasting my time on Kaggle at this point? Should I focus more of my energy on learning more math, stats and programming before jumping in? What would you say are the bare minimum things one should have a grasp of before being able to do any novice level data science stuff? Thanks.",0,None,3,Tue Oct 14 2014 06:34:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10592,None,None
/chevli,Sequence of results,"I have checked the evaluation page for formatting of submission file. It says it should be in following format id_label,pred1_y1,1.00001_y2,0.00001_y3,0.00001_y4,0.00002_y1,0.00002_y2,1.00002_y3,0.00002_y4,1.00003_y1,0.00003_y2,0.00003_y3,1.00003_y4,0.0000 Is that ok if id labels are not sorted? May be something like this 1700001_y1 0.00001700001_y10 0.00001700001_y11 0.00001700001_y12 0.00001700001_y13 0.0000 As long as I am keeping ids with submission it should not matter right?",1,None,1,Tue Oct 14 2014 11:17:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10595,/competitions/tradeshift-text-classification,306th
/triskelion,Improve the benchmark with Vowpal Wabbit,"Hi Kagglers! This will be one of the last [Link]:http://hunch.net/~vw/ benchmarks I'll post, since I achieved the goal I set out a year ago: To watch Vowpal Wabbit win a Kaggle competition. [Link]:https://www.kaggle.com/users/41275/guocong-song managed to win [Link]:http://www.kaggle.com/c/criteo-display-ad-challenge/forums/t/10547/document-and-code-for-the-3rd-place-finish in the Criteo Competition with VW. If you want to try Vowpal Wabbit with a new Kaggle competition, you could take look at my previous benchmarks, the [Link]:http://fastml.com/blog/categories/vw/ and the excellent [Link]:https://github.com/JohnLangford/vowpal_wabbit/wiki. For this benchmark we will use Vowpal Wabbit to improve on [Link]:http://www.kaggle.com/c/tradeshift-text-classification/forums/t/10537/beat-the-benchmark-with-less-than-400mb-of-memory. You should first create the best submission possible for tinrtgu's benchmark. Like noted on the forums: Adding the feature interactions and setting D to 24 (or as high as possible) helps improve that benchmark. We will then train Vowpal Wabbit on label y33, and replace tinrtgu's predictions for y33, with VW's predictions for y33. To create VW datasets from the CSV files, use the function ""to_vw"". Optionally to relabel a VW train set with other y's, you can use the function ""relabel_vw"". To combine the predictions from VW with our best submission from tinrtgu's benchmark, you can use ""to_kaggle"". To train VW: ./vw -d train_y33.vw --loss_function logistic -b 28 -l 0.7 -q hh -q hb -q hp -q hr -c -k --passes 3 -f model_y33.vw (Bitsize=28, learning rate is 0.7, 3 passes and loads of quadratic features). To test VW: ./vw -d test.vw -t -i model_y33.vw -p preds_y33.p.txt (This puts the predictions for y33 into the file preds_y33.p.txt) Both my parameters and dataset structure (feature namespaces) can be improved upon. Aim for a lower reported average loss, and you should have something nice in hands. Of course we can use VW like this to replace every label predictions, but this would take 24+ hours. Still I suspect it would improve the score at the cost of much longer training times. Happy competition and maybe see you all again in 2015 (I'm taking a break from Kaggle, including this competition, for a while). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56052/1659/tradeshift.py",25,gold,6,Tue Oct 14 2014 16:53:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10597,/competitions/tradeshift-text-classification,112th
/charlesie,Submitted Solutions,I'd like to learn how the winners approached the given problem and review the proposed models. Is there a section in kaggle where I can view the submitted entries? Thanks,0,None,1,Tue Oct 14 2014 22:06:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10599,None,None
/abhimanipal,Feature Engineering - Any Luck ? ,"Hi Guys, Any luck engineering new features from the data set? I have converted slope & aspect into categorical variables, combined soil type & wilderness area into 1 variable but no improvement in accuracy.",1,None,4,Tue Oct 14 2014 22:59:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10600,/competitions/forest-cover-type-prediction,424th
/jaygokhale1,Reading in data with python,"Hi, I'm attempting to read in the mat files into python using scipy.io.loadmat and am running into difficulties: >>filePath = pathToData + ""/Dog_1/Dog_1_interictal_segment_0001.mat"" >>result = scipy.io.loadmat(filePath) >>a = result['interictal_segment_1'] >>a.shape (1,1) >>print a array([[ ([[0, 13, 15, 14, 14, 11, 3, 6, 13, 12, 3, -6, -9, -2, -1, 1, 5, 8, 10, 11, 1, 2, 3, 10, 10, 4, 9, 2, -6, -1, 14, 15, 8, 1, -1, -4, -14, -16, -19, -12, 2, 4, 15, 19, 28, ... large vector Has anyone else faced this same issue? Python 2.7.8 scipy == 0.14.0 OS = OS X 10.9.5 Mavericks",0,None,2,Wed Oct 15 2014 00:11:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10601,/competitions/seizure-prediction,287th
/dremovd,Продление дедлайна,"Всем привет. Хотел бы высказать свое мнение про продление дедлайна. Я не до конца понимаю как будет происходить оценка результатов и будет ли она учитывать абсолютный результат или относительный тоже, так как схема оценки наших работ не описана, поэтому предположу что относительный результат будет что-то значить. Продление дедлайна хорошо тем у кого были технические сложности или просто не хватило времени, но это некрасиво по отношению к тем кто запланировал окончить заниматься соревнованием в воскресенье и выполнял задание ориентируясь на свой относительный результат в лидерборде.",0,None,1,Wed Oct 15 2014 06:10:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10602,/competitions/nlp-competition-1-yandex-school-of-data-analysis-fall-2014,12th
/davidmuller1,Use data for research?!?,"Hi all, I'm wondering if the dataset can be used for research purposes? I used the dataset to contrast different predictive models and I'm not sure, if I can use results for non commercial publications... I'm looking forward to hearing from you... Best regards, David",0,None,1,Wed Oct 15 2014 11:24:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10603,/competitions/DontGetKicked,None
/jhadoop,Optimal criterion/threshold for ROC_AUC,"Forgive me if this is a dumb question but I am using a RandomForrestRegressor in scikit learn to classify a dataset. When I run the results through the roc_auc_score method, I get about .95. What is confusing for me is that while I can use the roc_curve method and see all the thresholds, I am not sure which one is best for new data that may come in. For example, I get a new observation I want to classify, I run it against my trained model and it returns a number like .67. Do I classify that as a 1 or a 0 since I don't know what optimal threshold to use. Again, sorry for the newbie question. Thanks in advance.",0,None,4,Wed Oct 15 2014 20:06:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10604,None,None
/mahi83,Can someone tell me the what files are missing?,"Hi, I am making my submission and I realized I have 3933 predictions where I should have 3935 submission. Can anyone tell me the files that are missing? Maybe my download was incomplete.",0,None,7,Wed Oct 15 2014 21:58:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10605,/competitions/seizure-prediction,170th
/dammmmnthatsahuuugedata,Anyone in Los Angeles?,Anyone in LA?,0,None,3,Thu Oct 16 2014 08:45:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10610,/competitions/afsis-soil-properties,None
/mpekalski,Same features but different labels,"Hi, I had a more detailed look at the data and I am not sure if my scripts are wrong or there are observations that have exactly the same values for all the features (x1-x145) but some of the labels are different. For example have a look at observations with IDs: 86237943312111617881440615932722994993 They all are identical except that first three have only y9 = 1 and the latter three y33 = 1. How my algorithm could learn how to distinguish between them? There are more of those in the data .... /Marcin",2,bronze,6,Thu Oct 16 2014 17:35:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10617,/competitions/tradeshift-text-classification,135th
/maohappy2014,gendermodel./genderclassmodel.csv,Can anyone explain to me what's the difference between these two csv files? Is it the survived results for the training data? Thanks,0,None,1,Fri Oct 17 2014 03:01:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10619,/competitions/titanic,None
/rajivdas,How to ReSample the Training DataSet,I have a training dataset which differs significantly on several parameters (t-test/f-test) with the test set (for which the labels are not known to me.).I am thinking of re-sampling from the training set and use only those sets from training which do not differ significantly from the test set. Is this a good idea? How can we do so in R? The goal is to increase AUC on the test set,0,None,2,Fri Oct 17 2014 07:46:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10620,None,None
/asadani,Old Completed Kaggle of AllState?,Hi all. I am looking for the completed kaggle of allstate which was run earlier. Interested to see what kind of data was released and what submissions were done. appreciate someone's help. This is my first visit to understand this.,0,None,1,Fri Oct 17 2014 23:49:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10623,None,None
/maohappy2014,R: rfcv[ establish how your accuracy is related to the number of variables you use],"I used rfcv (randomForest) to estimate how many variables to use to minimize the error or MSE. I got the result: > rf$error.cv 12 6 3 1 4544.523 4369.261 12429.269 15922.400 but based on the examples I found online, the error rate was between 0 and 1. Why did I get such large error rates for five-fold CV ? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56197/1668/number of variable.png",0,None,1,Sat Oct 18 2014 07:04:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10625,/competitions/bike-sharing-demand,None
/dremovd,Benchmark with sklearn,Here is benchmark with sklearn for YSDA ML trainings. I hope it would be useful for other participants as well. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56202/1669/Tradeshift Text Classification - Quick Start @ morph.ipynb,37,gold,60,Sat Oct 18 2014 09:18:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10629,/competitions/tradeshift-text-classification,28th
/sheidari,who has correctly predicted P ?,"The wide variance of P makes it too difficult to predict, so P is quite different from the other responses. I think, that is not too bad if Kaggle lets us know who has correctly predicted P. We can learn more!",0,None,1,Sat Oct 18 2014 18:28:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10643,/competitions/afsis-soil-properties,80th
/hspotorno,"RuntimeWarning Errors when running ""genderclassmodel.py""","I tried running the ""genderclassmodel.py"" from the Python tutorials and got the following errors, which caused my result to be different: c:\~\Anaconda\lib\site-packages\numpy\core\_methods.py:59: RuntimeWarning: Mean of empty slice. warnings.warn(""Mean of empty slice."", RuntimeWarning) c:\~\Anaconda\lib\site-packages\numpy\core\_methods.py:71: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount) I am running this using Anaconda and didn't change the .py file. Anaconda version 2.1.0 runs Python 2.7.8. Anybody know what could be causing this?",0,None,2,Sat Oct 18 2014 21:07:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10644,/competitions/titanic,None
/maohappy2014,How to know the accuracy for test set? ,"Hey, I'm new to Kaggle. I just wonder how to know if my model works on the test set? since the real counts are not provided from test.csv. Thanks",0,None,5,Sat Oct 18 2014 22:47:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10645,/competitions/bike-sharing-demand,None
/aguschin,Beating the 3002 :),"Hi Everyone! Script in a nutshell: k-clique-communities + max pagerank user. It simply uses k-clique-communities where it is possible and one circle with one friend in other cases (thanks to Selfish Gene). While the error for wrong prediction is two times higher than the error for no prediction at all, it seems naturally to use this heuristic. It is worth mentioning that the error on the train set is about 15350, while connected components and ""one user in one circle"" returns about 17050. Also, the first script loads data from egonets/Training/features into dataframes to further use :) Let me know if you achieve better score using this code. And, please dont forget to ""vote-up""! LB score: 2834 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56254/1673/make_data_ready.ipynb [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56254/1674/benchmark-kaggle.ipynb",19,gold,6,Sun Oct 19 2014 14:23:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10647,/competitions/learning-social-circles,10th
/siddjain,How is the score calculated?,"I would like to understand how is the score for this challenge calculated. The description says the score is the AUC. Once someone uploads their results, let the true positive be TP and false positive be FP (this will only give one point on the curve). Then is the AUC and hence the score calculated as: 1/2*TP*FP + (1-FP)*TP + 1/2*(1-TP)*(1-FP) or is there some other calculation (what?) used to calculate the score and AUC?",2,bronze,2,Sun Oct 19 2014 16:46:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10648,/competitions/seizure-prediction,451st
/kdoniger,What Does a Seizure Look Like?,Can I get an EEG of a seizure or two? I'd like to compare it to the preictal and interictal traces we have? Thanks.,0,None,1,Sun Oct 19 2014 19:10:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10649,/competitions/seizure-prediction,126th
/davidthaler,Empty prediction,"Are we allowed to make an empty prediction? It is the obvious baseline. I entered: UserId,Predicted25708, 2473, 18844, 19268, 25283, 21869, 17748, 5744, 3656, 17002, ... ...and got: ""Evaluation Exception: Input string was not in a correct format""... And I've been looking at it and I don't see why.",0,None,1,Sun Oct 19 2014 22:21:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10650,/competitions/learning-social-circles,23rd
/machinedialogue,non emergency events from twitter conversations,I want to detect non emergency events from twitter conversations for my city. Here are some example events: a tree is down traffic signal malfunction Water Leak or Pressure ProblemDead Animal Pick-upAbandoned VehicleVacant Structure Open to Entryllegal DumpingAnimal At Large Catch Basins and Storm Water ConcernsLeaf and Brush Pick-up and many more .. how do you address this kind of a problem - any suggestions!!! Thanks,1,bronze,5,Mon Oct 20 2014 05:22:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10651,None,None
/mahehu,Number of daily submissions increased,"Due to a few requests, the maximum number of daily submissions has been increased to 4 until the end of competition. However, I still recommend to cross-validate the results as well. Otherwise your model can easily overfit to the public leaderboard data (33% of all test data) and perform worse on the private leaderboard (67% of all test data).",1,bronze,3,Mon Oct 20 2014 12:25:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10652,/competitions/tut-head-pose-estimation-challenge,None
/zzz24512653,About the given metric method,"if(__name__ == ""__main__""): a = [[3,1,2],[2,3],[5,4,6]] b = [[4,5],[1,3,2,4]] print loss1(b,a) It's the example of the Evaluation part,but I got 2 not 4! Do I use the loss1 method not correctly?",0,None,2,Mon Oct 20 2014 14:16:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10653,/competitions/learning-social-circles,28th
/alexdlikman,What tools do you use? ,"Hello all, What tools do you use? I work with R, but this time my computer lags. I wanted to hear recommendations for other tools which are suitable to the problem with so much data. Thank you!",0,None,11,Mon Oct 20 2014 16:35:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10654,/competitions/tradeshift-text-classification,341st
/wacaxx,Preprocessing visualizations,"Hello people, I'd like to share with you some visualizations I made for the preprocessing step during this competition. I decided to publish it as this information can be helpful for many other problems where signal processing and spectra analysis are involved. [Link]:http://rpubs.com/wacax/33342 The document still needs some changes and additions that I will do in the next few days. Feedback is always welcome.",12,gold,3,Mon Oct 20 2014 21:22:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10655,/competitions/afsis-soil-properties,690th
/mahehu,What are HOG features?,"There was a question by email regarding the features. The 2511 features at each row are so called ""HOG features"" (Histogram of Oriented Gradients). They were first introduced in 2005 for detection of humans in pictures by [Link]:http://lear.inrialpes.fr/people/triggs/pubs/Dalal-cvpr05.pdf. The basic idea is to divide picture into blocks (called cells), and calculate the histogram of gradient directions inside that block. Thus, the block containing e.g., the eye has probably somehow unique signature, which the classifier can hopefully detect. More on the topic at [Link]:http://www.mathworks.se/help/vision/ref/extracthogfeatures.html. Also the [Link]:http://docs.opencv.org/modules/gpu/doc/object_detection.html is very widely used and runs for real time video.",2,None,1,Tue Oct 21 2014 08:04:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10656,/competitions/tut-head-pose-estimation-challenge,None
/loskana,Metric for KaggleInClass: Cost-Sensitive Binary Classification,"Hi to everyone, my name is Mauro, Ph.D. student at USI (a university in Switzerland). I'm on TA for a course on machine learning, and I'd like to open a competition on the very well-done KaggleInClass platform. My only problem is that I can't find the correct metric for the problem I have in mind: I hope I posted this question in the correct forum. Our problem is binary classification, let's say between high income client (1) and low income client (0). The request is to choose for every client if to send a promotional package. There are two cases: - You choose to send the package to a client. If the classification is correct (I send the package to an high income client) you get a reward, 10, if you misclassified you get a penalization, let's say 2. - You choose to not send the package. There is now reward or penalization. It seems to me that in this case you can't use the Weighted Mean Absolute Error, since there is a different cost between FP and FN and between TP and TN. Do you have any idea on what other metric I could use?",0,None,2,Tue Oct 21 2014 12:34:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10660,None,None
/datarat,Beat the benchmark with Julia,"I love Julia and I decided to make a BtB post with it. The benchmark is pretty basic, and so will be the way to beat it. Original solution predicts the average ELO for everyone, but if someone has bigger ELO they should probably be more likely to win, and if ELOs are similar, a draw should appear more often. It leads to the following code (which uses Linear Regression, because why not): [Link]:http://pastebin.com/w135DXwn - leaderboard score 208.34389 The data we give to the model is as simple as possible, so we should improve it at least a bit. My limited knowledge of chess tells me that game length might have something to do with the skills of the players. I add game length and its square (might be useful?): [Link]:http://pastebin.com/iUXjSxZJ - leaderboard score 207.92646 Not exactly the best improvement, but improvement nonetheless :). It's also worth noting that, as Linear Regression usually does, my code opts to minimise the MSE, as opposed to MAE which is used for the LB, so any model that takes advantage of it should be way better. Edit: I'm using Julia 0.4 for this (nightly build)",6,silver,4,Tue Oct 21 2014 12:55:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10661,/competitions/finding-elo,104th
/arthurb,What hasn't worked for me,"The competition ends tonight, and though there is probably some amount of over-fitting going on in the leader-board, I think I've clearly missed something. (*note, if you have had a similar experience, or if you have done really well, I'm interested in a private debrief talk, see the end of the post)This is what I've tried, unsuccessfully Dimensionality reduction techniques I reasoned that a spectrum might be formed by adding the absorption spectrum of many components, so I tried various forms of non negative matrix factorization. I tried to apply SVM or Lasso on the coefficients of the regression but that didn't work. I threw independent component analysis at the spectrum and its derivatives. I reasoned that since the target variables were highly non-normal, the features should be non-normal too. Makes sense right?? Nah. Didn't pan out. Maybe what was needed was a wavelet decomposition of the spectrum to catch multiscale features? Nope, that didn't work. Ok, how about local PCA? I did PCA on a rolling window of 9 spectral bands with an overlap of 3 and kept 0.999% of the variance in each band. That way, the components wouldn't be overfit to the data, and I would know what's going on. Didn't really help much. Neural networks I trained a convolutional neural network with 3 convolutional layers, max pooling and 3 fully connected layers with dropout and rectified linear units. It did well until it started overfitting past a score of 0.45. I trained a fully connected deep net with dropout and relu layer by layer with sizes 3578, 2187, 1458, 972, 648, 432, 288, 192. Each layer was trained with a denoising autoencoder and the spectrum were descaled and demeaned first. This one ended up seriously overfitting. I tried to increase the dropout rate, but I think I would have had to redo the pretraining. Trained a fully connected net with sigmoid units, dropout and a big l2 penalization. Did OK until the score hit 0.45 after which it started overfitting. Feature search Maybe what was needed were good features, and a simple model to capture those features. So I tried models that would pick a few random points in the spectrum, greedily fit a linear model in a 9-band wide window around each point and then apply some type of non-linear fit with these features. The following didn't work SVM Gaussian process with nugget picked by CV polynomial regressions How about I do the same, but selecting my features using L1-regression first, and then using non-linear model on those features. Ahaha, nice try, but no. Manually looking at the data You know what, maybe I'm trying too many numerical techniques when what I really need to do is visualize the data, and massage it to extract good features. So I plotted all the spectrum, their differential etc with the line color representing the dependent variable, from blue to red. I zoomed in the places where I could see red, and extracted features there. I then fit the residuals, etc. After much manual labor, nothing came out of it. Nothing that would beat that 3-line SVM benchmark X( Misc Isotonic regression on features, to avoid being fooled by some outliers. Nah. Wavelet scattering decomposition. Nope. Kernel engineering for SVM based on some engineered features. LOL, no. Tree based regressors, nooooope. I think the two most important things I missed have been: Weight the fit according to the distribution of the testing sample. I didn't really get into that mostly because I didn't quite get how the locations were supposed to be related. What did I miss there? Some local-refitting with nearest neighbor did help, so maybe that was part of the key? I should have explored that in more depth. In general, a decent prediction model of the dependent variables could be used as a starting point to weight the training sample. Don't try to minimize the square loss! I think doing this means you'll try to a few very high datapoints in the dataset. But those datapoints probably only reflect a larger variance, not a larger mean. I think a big part of the reason that SVM benchmark was so absurdly effective was the hinge-loss. It produces very conservative values for P which is wise. Square-loss optimisation leads you either to poor fit, or poor generalisation in this problem. It feels like a hack, you'd want your model to just decide not to fit those high values, but with so much noise, it's hard to achieve. Maybe I should have made more efforts into normalizing/cleaning the spectrum. I was disappointed when Golay didn't seem to improve some models over a simple diff. That said, I probably missed a whole lot of things, despite trying a lot of approaches and deploying some heavy artillery (like training 3-neural-nets on 3 GPUs for instance)I know winners often post a description of their winning algorithm, but I think there is more to be learned from the entire process. I'd love the chance to have an in depth conversation with anyone in the top 10, or anyone who's not made the top 10 despite deploying a similar effort. If you're willing to talk, please email-me at arthurb(at)melix(dot)net",29,gold,22,Tue Oct 21 2014 16:31:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10662,/competitions/afsis-soil-properties,435th
/thenx00,Here's how to get under .40 in about 20 minutes of training on my laptop,Just kidding,7,silver,9,Tue Oct 21 2014 16:52:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10663,/competitions/afsis-soil-properties,428th
/falcon777,LOST,I'm novice; it's my first competition. I have tried a CART model and Cross-validation in R. My best score is 0.86244 (ridiculous...jejejeje). I would like the masters to talk us (when the competiton is finished) about getting scores<=0.4. Thank you very much folks!,0,None,6,Tue Oct 21 2014 20:37:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10664,/competitions/afsis-soil-properties,1094th
/arnocandel,Beat the benchmark with H2O Distributed Random Forest,"Without any feature engineering (no interactions, no log transforms, etc.) and no real tuning yet, H2O's Distributed Random Forest gets to the following log-loss errors after running overnight on a single node, or faster on a compute cluster: training LL: 0.002892511validation LL: 0.008592581 The following starter R script I just published has built-in support for automatically picking the best model for each response variable after doing a grid search, followed by ensemble model building. https://github.com/0xdata/h2o/blob/master/R/examples/Kaggle/TradeShift.R More info at http://h2o.ai Note 1: The above numbers are reproducible even on a distributed system. My LB submission agreed to 2 significant digits, and those numbers were obtained with a 95/5 split and submitwithfulldata = FALSE, so you can still improve results with setting submitwithfulldata = TRUE. Also note that ensemble_size = 1 was used, and no grid search for tuning. Also no feature engineering, log transforms, blending, stacking, etc. Note 2: Setting type = ""fast"" speeds up the computation by using a slightly less accurate method Note 3: To get the model with the above log loss numbers, set submitwithfulldata = Fensemble_size = 1 and use these parameters in the h2o.randomForest call:type = ""BigData"", ntree = 100, depth = 30, mtries = 30, nbins = 100, and you also need to comment/uncomment the two occurrences of #If cv model is a grid search model#If cvmodel is not a grid search model since these parameters are not a grid search model.",18,gold,20,Tue Oct 21 2014 20:44:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10665,/competitions/tradeshift-text-classification,42nd
/bjdphb,Too late to enter!!!,"I only learned about Kaggle six days ago (one day before the first submision deadline for this competition). I did not know there was a first submission deadline, and I was going to submit today, an hour before the final deadline. I adapted a machine learning algorithm I had for the problem, which took some work , but I believe I succeeded. Based on the training results, most variables should have a good result. When I went to submit, I was told I couldn't due to the first submission deadline! I'm going to submit anyway here. I hope the competition processes the submission and tells me how I did, and if I did well, still considers me for some prize money if I would have ranked sufficiently high as to warrant that if I had been aware of the competition before the first submission deadline. Anyway, this is what I have now, after only a few hours of training. If it is good, I can assure much better results with more training and/or use of another algorithm I did not have time to adapt. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56362/1681/sample_submission(1).csv",-1,None,7,Wed Oct 22 2014 01:49:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10666,/competitions/afsis-soil-properties,None
/mikeskim,congrats to yata!,Yata's golden features forum post during the London Loan is actually what got me more serious about Kaggle. Congrats on a first place via only 6 entries. Me on the otherhand? I mostly tried to overfit.,6,silver,28,Wed Oct 22 2014 02:10:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10667,/competitions/afsis-soil-properties,81st
/inderpuneetsingh,Beating the benchmark code (Public and Private),There were many results with values .43621 on public leader-board. The same goes for private with many scores appearing with value .50558 Did the beating the benchmark code produced Top 25% results??,0,None,5,Wed Oct 22 2014 02:47:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10668,/competitions/afsis-soil-properties,469th
/stevendu,overfitting so sad,"My result ended up seriously overfitting. So sad, I don't even want to have my breakfast today. (UTC +8) A great lesson learned, need to revoke all my thoughts of ""xx works, xx not works, xx is better than yy"".",3,bronze,10,Wed Oct 22 2014 02:54:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10669,/competitions/afsis-soil-properties,513th
/matlab,Suggestion for the competition admin,The objective for this competition is to find the best soil prediction model. The competitors want that and the Africa soil people want that. But for the supplied data due to strata in the data and small sample sizes there is a lot of luck involved in identifying the best model. By that I mean the best model that predicts soil on data OUTSIDE the competition. There are two ways to increase the probability of finding the best model: (1) increase the amount of data or (2) to increase the probability that the winning submissions came from the best models. Given that the amount of data has been predetermined there is only (2) to play with. And the only thing that can be altered is the number of submissions that a competitor can select for winning consideration. Seems to me that for this competition the number 2 was too small. A high variance competition should have a high number of selections. It's not difficult to work out in advance the optimal number of submissions. And retrospectively you can look at how many submissions that were not selected beat the winning score. Competitors will be annoyed that one of their submissions beat the winning score but they didn't select it. And the Africa people will be annoyed that they don't get to see those better models.,0,None,7,Wed Oct 22 2014 03:02:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10670,/competitions/afsis-soil-properties,467th
/nathanhammes1,Mixed Messages from Private Leaderboard,"My team is experiencing an odd phenomenon. Our team (SYN) submitted twice today, and picked both of those submissions (verified by a couple team members), and the leaderboard shows that our best score was obtained today. Yet our 1-week change shows that we've dropped 386 spots. (from 67th to 453rd). It is possible that 386 teams jumped in front of us in the past week, but we also submitted Abhishek's code at one point in time, so I'm a little confused. Does anyone have an analogous issue?",0,None,5,Wed Oct 22 2014 03:40:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10671,/competitions/afsis-soil-properties,448th
/tanopereira,My first Kaggle 'real' competiton,"Hi all, This was the first time I invested some time in a Kaggle competition. Lessons learned: 1. Trust your workhorses, not so much the public leaderboard. I chose poorly my submissions believing I was overfitting. If I had chosen my number 2 and 3 I would have landed in the top 10%. 2. Beating the benchmark helps, but sucks BIG time It helps understanding of a way to tackle a problem, however when you see a trillion people get top 25% by essentially NOT doing anything is disheartening. Now I know I can keep up with some of the best, and next time I will be wiser with my choices. Thank you all! TanoPereira",1,bronze,2,Wed Oct 22 2014 04:29:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10672,/competitions/afsis-soil-properties,354th
/tanopereira,Request to Administrators,"Can we allow beating the benchmark posts only AFTER the competition has ended? That way we can all learn and not skew the results at the same time. I see a LOT of value in beating the benchmark posts, as long as they help you learn where you went wrong or how you could have done even better, making it a learning experience and not a spectator sport. Regards, TanoPereira",2,bronze,26,Wed Oct 22 2014 04:31:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10673,/competitions/afsis-soil-properties,354th
/taffeylewis,Working with communication protocols in R,"Maybe I'm asking the wrong question, and I should be doing this in Python or somesuch, but I'm having too much fun with R right now. I'm not familiar with interfacing with external executables like the stockfish engine, and would like to learn more about how to go about doing this. Not looking to be spoonfed code, but friendly pointers as to what tools and where I can get the information to get started would be appreciated.",0,None,13,Wed Oct 22 2014 05:16:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10674,/competitions/finding-elo,115th
/mariopasquato,It's over,"It's my first competition. Some quick comments. 1) Test and train set were systematically different. The variables BSAN, CTI, ELEV, EVI, LSTD, LSTN, REF2, REF3, RELI, TMAP, TMFI all have a different distribution in the two sets according to a KS test, with p-value < 10^-4. If any of these variables has a strong effect on the results, this means that cross validation results would not necessarily be a good predictor of out-of-sample results. If I cross-validate on apples why would my model work on pears? 2) On the other hand the public leader board was based on such a small set that it provided only limited guidance, especially with one variable, P, being virtually unpredictable (did anybody manage to predict P to some acceptable degree of accuracy?) 3) I saw my score improve when I rejected some predictions that were lower than the minimum training sample value. Ca, SOC, and P all seemed to never be allowed to take values below a minimum threshold. Why is that? Is it an artefact of how the variables were ""monotonically transformed""?",3,bronze,3,Wed Oct 22 2014 06:25:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10675,/competitions/afsis-soil-properties,53rd
/efimov,Solutions sharing,"Congratulations to the winners! This competition was pretty interesting. Here is our approach: Before merging with Abhishek, I used two models: R svm with spectral features and R gbm with derivative and spatial features. I used grid search to select features for svm by each target separately. Gbm did not give good result, but it gave good improvement in the ensemble with svm. One more thing I noticed: multiplying by constant improves the score. The only problem this constant was 1.02 on CV and 1.08 on LB. At the end I chose one submission with constant 1.02 and one with 1.08. After merging, I got neural network model from Abhishek and it gave another improvement on CV and LB. It turns out that on CV neural network was the best model (though on LB svm was better). In principle, my purpose was to make model simple and robust (2nd on Public, 7th on Private, very good for such kind of competition), that's why I used Landscapes (thanks to BreakfastPirate for it!) for CV score calculations.",26,gold,44,Wed Oct 22 2014 07:45:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10676,/competitions/afsis-soil-properties,7th
/mariopasquato,Using the .mat files,"Hi everybody, I was able to open the mat files given in the previous competition on this topic using the R package ""R.matlab"". Now even trying to open a single file results in an error library(""R.matlab"") p1 <-readMat(""Patient_1/Patient_1_preictal_segment_0001.mat"")R(1050,0xac126a28) malloc: *** mmap(size=1440002048) failed (error code=12)*** error: can't allocate region*** set a breakpoint in malloc_error_break to debugR(1050,0xac126a28) malloc: *** mmap(size=1440002048) failed (error code=12)*** error: can't allocate region*** set a breakpoint in malloc_error_break to debugError: cannot allocate vector of size 1.3 GbExecution halted I am using R version 2 15.1 and have 4 Gb of RAM. The file is 172 Mb, but I guess it expands a lot when turned into an R object. I was thinking maybe I should use some package like bigmemory or ff? Anybody had any luck with that? No luck trying to convert the file to csv from within Matlab: csvwrite('prova.csv', interictal_segment_1)Undefined function 'real' for input arguments of type 'struct'.Error in dlmwrite (line 195) str = sprintf('%.*g%+.*gi',precn,real(m(i,j)),precn,imag(m(i,j)));Error in csvwrite (line 43)dlmwrite(filename, m, ',', r, c); Thank you for any suggestion!",0,None,3,Wed Oct 22 2014 07:46:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10677,/competitions/seizure-prediction,None
/tobycheese,An advice to all beginners frustrated with their results,"Why did so many people join this competition? OK, when I saw the topic I was excited as well. After all, maybe helping Africa while at the same time having fun in a Kaggle competition sounds like a good thing. But then I was quickly pulled back to reality when I looked at the data, and read some of the comments in the forum. And after the seizure prediction competition was opened and a bit later tradeshift, I quickly lost interest in this one here and just submitted what I had at that point. It must be said that for a beginner, this competition was not ideal: Too little and odd data, and a lot of frustration as the result. So let me state this to all frustrated beginners: Many things you might have tried in this competition that didn't seem to work out might actually have worked in a different situation. Don't give up, and don't necessarily change your methods, try them again on another competition with more data.",11,gold,4,Wed Oct 22 2014 09:34:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10678,/competitions/afsis-soil-properties,78th
/vielauge,How to drop more than 500 places!,"-Well it started all with Abisheks Benchmark Code and the transformation into R - thanks for sharing! -Then I set up my own cross validation with the help of the great caret package!#5-fold-crossvalidationfitControl<-trainControl(method=""repeatedcv"",number=5,repeats=2) optimizing c for each Parameter- (example for Ca)svmFitCa2<-train(x=train2,y=labels[,1],method=""svmRadial"",trControl=fitControl,tuneLength=10)leading to good RMSE between 0.3 and 0.4 with the exception of Phosphor RMSE=0.841. Adding the untransformed satellite data improved the RMSE for Ph and Sand a little bit. (so I combined these predictions with the above ones = my first final submission) -> leading to public rank in the last days about 350th The biggest problem was ""P"" so I decided to run a random forest for it. The prediction quality was in the same category as the svm -> RMSE=0.8893 so i ensembled svm with rf leading to bad public leaderborad score 0.49078 but hoping for a better private score. (my second final submission) Well the final results are a complete knock down! The mass with unchanged benchmark code scored better than me. (I hoped for 25 % with a bit luck 10% but ended below 50%). Is this overfit? I thought I am relatively secure due to the cross validation. What happened? I am not sure. One fault was to rely on more data. I should stripped off the CO2 and maybe a lot more variables (saving a lot computing time). Does anyone see another major mistake? A big hug to all who dropped more than 50 places, grats to the winners and thank you for all the sharing in the forums- Best regards, Vielauge",0,None,7,Wed Oct 22 2014 12:04:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10681,/competitions/afsis-soil-properties,705th
/slothouber,Opening and Ending Databases,Just to verify. We are allowed to make use of opening and ending databases right?,1,bronze,3,Wed Oct 22 2014 15:31:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10682,/competitions/finding-elo,28th
/jroberayalas,True predictions for testing set,"Hi everyone, I'm not sure if my request is allowed, but I'd like to know if it's possible to get the true values for Ca, P, pH, SOC and Sand in the testing set for future references. Thanks!",0,None,3,Wed Oct 22 2014 16:02:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10683,/competitions/afsis-soil-properties,893rd
/hyposulphite,"Private score in ""my submission""",Will we be able to see the private score as well as public score in our own submission record? I thought typically both of them will be shown. I think it is a good way to understand the stability of our solutions in different methods. We could find something interesting. Any clues?,0,None,5,Wed Oct 22 2014 16:40:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10684,/competitions/afsis-soil-properties,147th
/mlaspirant,Is it too much overfitting?,"Hello everyone, I reduced the RMSE for P too about 0.3 (from that of 0.8-0.9) by using the logic: train$P[train$P>2] <-2(or 0) (both being close). So the net RMSE (result of 10 -fold CV) also reduced to about 0.3. But the corresponding LB for that is 0.41093(public) and 0.50849(private). Is this the contribution to too much overfitting? Thanks",0,None,2,Wed Oct 22 2014 18:12:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10686,/competitions/afsis-soil-properties,412th
/barisumog,A paranoid question about the dataset,"I've just started looking at this competition. I've read the info pages, skimmed all the forum posts, but I couldn't find any descriptions about the contents of the dataset. The figures in the info pages imply they're some sort of correspondence. A quick look at the Tradeshift website makes me think they're probably business transactions. But what actually is the task? What are we classifying? I respect the sponsor's right to anonymize the data, the feature names, the exact target classes. It could be for legal reasons, for privacy, for know-how, for strategic choices, etc etc. But would they be kind enough to provide a brief overview of the task? What kind of texts are we classifying? Where do they come from? What are the classes we're classifying into? Again, I respect whatever concerns the sponsor may have. I'm not trying to put them in a tight spot. I'm just asking from an ethical point of view. A brief overview would be sufficient. And in case the sponsors absolutely cannot give out any information at all - does at least Kaggle have a general idea of what the task is? Or are they completely in the blind, as well? Thank you.",5,bronze,2,Wed Oct 22 2014 20:29:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10688,/competitions/tradeshift-text-classification,228th
/muzhik,A newbie or dumb question - how is scoring done with only my predictions on new unkown data?,"I understand that when we create a predication on the public leader board we will use all sorts of methods - scaling,reduction terms, correlation analyis etc and come up with an Algorithm that we apply to public test data. Our predictions are then checked against that answers of the public test data and we get rated. What I don't understand is that on the private leader board, my raw predictions for the public test data is used on new data to generate predictions. Using my raw prediction data on new uknown data does not take into account all of the data munging/scaling/filtering/smoothing that i did. So how is the scoring accomplished without all that work? I know i am missing something here, if anyone help me understand this it would very much appreciated. -Thanks",0,None,3,Wed Oct 22 2014 20:54:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10689,/competitions/afsis-soil-properties,132nd
/rightfit,So why did this not overfit ? (going under the hood),"Ok. So my approach from start was not to over fit. My third submission (already in solutions thread) was just an experiment so see how you could beat the benchmark by just over fitting an over fitted model. That as I see now - would have been 11th in the private leader board. Guess what the public LB for that is ? 934! with a score of 0.56416. So why did this not over fit ? Please see attached code again. It almost uses Abhishek's code but uses poly kernel (degree 3) and C=150000 on P. Only other difference being I used a log conversion on P. Since like others, my main purpose here is to learn, I have the following questions 1) If cv scores are improving - when should I not believe in them ? I used both shuffled and non shuffled, 10 and 12 fold cross validations. I shuffled because I thought having too many similar landscapes in the test fold is not a good idea. I used same random seed all through out. So - where was the catch ? given my final submissions had CV scores much better than this third one above. 2) In Support Vectors - if I am using an extremely high value of C, am I not creating a very complex model, i.e overfitted ? Also poly at degree 3 itself is a bit of over fitting as compared to rbf. So why did that not happen here. I got better mean RMSE and lower std RMSE on SVR models with lower C and less value of epsilon (which should be good as it means the tube is thinner where you are discarding errors) and higher gamma. For example Try predicting Ca with svm.SVR(C=100, verbose = 0,kernel='rbf',degree=2,epsilon=0.001,gamma=0.006) Results on pre-shuffled 10 fold cross validation using KFold Std ind[0.068993783784242424]Mean ind[0.25951726566533856] As compared to svm.SVR(C=10000, verbose = 0,kernel='rbf',degree=3,epsilon=0.1,gamma=0.0) Results on pre-shuffled 10 fold cross validation using KFold Std ind[0.11884175996763156]Mean ind[0.32139954865227272] The number of outliers on the 10 folds of the first model were in the range of 80-90, while those in the second model were in the range of 30-40. This can be understood as the second model has a very high C. The number of support vectors on the 10 folds of the first model were in the range of 1020-30, while in the second one in the range of 300-320. So, if you really add the numbers, the first model has almost no points in the epsilon tube - which means, almost no errors are being discounted while building the model and yet the cv scores are much better. On the other side, Gamma 0.0 means gamma is 1/3593 which is much less than 0.006. Which means I am giving more importance to the weights formed by the feature vectors (dot product). So, the first model should be always better than the second. Theoretically right or wrong ? In the private LB, the second model is better. 0.48319 , compared to 0.48667 (I kept everything else the same) I want to understand why ? I can upload and paste other code here with CV results if needed for the individual targets. Will be grateful of comments from all. Regards [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56546/1687/third.py",4,bronze,16,Wed Oct 22 2014 21:30:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10690,/competitions/afsis-soil-properties,339th
/qiuyanxu,Congratulations to the winners from Liberty Mutual,"Dear All, Thank you to all of the participating teams in the Liberty Mutual Insurance Fire Peril Loss Cost competition. I hope this was a challenging and fun problem to solve. With all the winning models verified now, on behalf of Liberty Mutual, congratulations to the winners – your enthusiasm and professionalism are appreciated. We welcome your competition feedback and I’m happy to address any questions. Sincerely, Qiuyan Xu (on behalf of Liberty Mutual Insurance)",3,bronze,1,Wed Oct 22 2014 21:56:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10691,/competitions/liberty-mutual-fire-peril,None
/ericchio,How to select your final models in a Kaggle competition,"In Kaggle competitions, we have many good ideas in general. However, we struggle on picking the final two models. In fact, sometimes we would have won great time if we have just selected THAT model. Let's discuss how YOU select your final models? Knowing how to select a model means you know how to pick that right model in practical applications as well. Here are my guidelines below. It may not be the best, but it has served me very well in the recently closed contest of African Soil Property Contest, where (with some luck admittedly) I selected my top 1 and top 2 model! Always do cross-validation to get a reliable metric. If you don’t, the validation score you get on a single validation set is unlikely to reflect the model performance in general. Then, you will likely see a model improvement in that single validation set, but actually performs worse in general. Keep in mind the CV score can be optimistic, but your model is still overfitting. Trust your CV score, and not LB score. The leaderboard score is scored only on a small percentage of the full test set. In some cases, it’s only a few hundred test cases. Your cross-validation score will be much more reliable in general. If your CV score is not stable (perhaps due to ensembling methods), you can run your CV with more folds and multiple times to take average. If a single CV run is very slow, use a subset of the data to run the CV. This will help your CV loop to run faster. Of course, the subset should not be too small or else the CV score will not be representative. For the final 2 models, pick very different models. Picking two very similar solutions means that your solutions either fail together or win together, effectively meaning that you only pick one model. You should reduce your risk by picking two confident but very different models. You should not depend on the leaderboard score at all. Try to group your solutions by methodologies. Then, pick the best CV score model from each group. Then compare these best candidates of each group, pick two. Example: I have different groups 1) Bagging of SVMs 2) RandomForest 3) Neural Networks 4) LinearModels. Then, each group should produce one single best model, then you pick 2 out of these. Pick a robust methodology. Here is the tricky part which depends on experience, even if you have done cross validation, you can still get burned: Sketchy methods of improving the CV score like making cubic features, cubic root features, boosting like crazy, magical numbers(without understanding it), etc, will likely be a bad model to pick even if the CV score is good. Unfortunately, you will probably have to make this mistake once to know what this means. =] Posted [Link]:http://www.chioka.in/how-to-pick-your-final-models-in-kaggle/ as well.",15,silver,4,Thu Oct 23 2014 03:41:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10692,None,None
/aguschin,Features engineering benchmark :),Hi Everyone! Here is some basic features engineering with explanation. It would be great if someone else will share his features in this discussion! I'm sure there are plenty of them we can find in this data :D http://nbviewer.ipython.org/github/aguschin/kaggle/blob/master/forestCoverType_featuresEngineering.ipynb LB score: 0.81545,37,gold,9,Thu Oct 23 2014 16:08:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10693,/competitions/forest-cover-type-prediction,53rd
/hujunwei,Effective CV Method?,"Hi, Guys. First of all, congratulations to the winners. I'm new to machine learning and Kaggle really provides me a great opportunity to gain some field experience. There're something I hope you can work me through. I make my two submissions with one that got the best public score and one that got my best CV score, which I suppose many of you do, since the data size indicates that overfitting is unavoidable and public sample size makes public score not a satisfactory reference. I tried some CV iterators with scikit-learn, i.e. 5-fold, 10-fold, Shuffle & Split. And among the three shuffle & split was my final choice 'cause it was closest related with my public scores. And today after the competition result was verified, I finally got my private score with every submission. The result shows that my best public score submission got the second best private score. Not so bad since the best score is almost the same. However, my best CV score submission performs very poor. So I did this. I made a spearman correlation analysis for public score, private score and CV score(shuffle&split). It shows that in my case, the public score is far better a indicator than my CV score. The correlation between public score and private score is 0.77 while the number between CV score and private score is merely 0.12. That's terrible. So, any of you can provide an effective CV method? It would help so much. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56607/1691/spearman correlation.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56607/1692/Public Score, Private Score & CV Score.png",1,bronze,12,Thu Oct 23 2014 16:12:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10694,/competitions/afsis-soil-properties,129th
/snowdog,Handle missing data,"How do you guys are dealing with the missing categorical data (the YES, NO features)? I decided to encode it as a 3 level Factor, because they are related to the 'layout' of documents in some way, so i'm encoding them as (YES, NO, X). I know it's not good to drop these missing samples, but this 3-factor is not helping me much either. Any advice on this? Thanks!",1,None,2,Thu Oct 23 2014 18:35:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10695,/competitions/tradeshift-text-classification,94th
/julialukash,'Bag of words' model ,"Hi there, I've been trying to use the 'bag of words' model with NB classifier. Without any preprocessing (such as deleting stop words). So, I have a problem: the train set is about 150000 items, and I have about 16000 words-features. And I can't even make a object-feauture matrix, because it takes too much time. Has anyone got such a problem? Am I doing something wrong? Thanks in advance!",0,None,2,Thu Oct 23 2014 19:08:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10696,/competitions/sentiment-analysis-on-movie-reviews,356th
/taffeylewis,Chess and Go,"Not strictly related to the immediate goal of this competition, but... I actually really don't like chess, and much prefer to play Go (aka weiqi aka baduk). It's much more open-ended and much more complex, despite very simple rules. I'd love to see a competition like this that addresses Go-related challenges.",1,None,5,Thu Oct 23 2014 19:51:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10697,/competitions/finding-elo,115th
/dmollaaliod,And the winner is...,"Below are the final scores of the private leaderboard. As you recall, when you submit the results, the public leaderboard only shows the scores of your results on a part of the test set. The final ranking for the competition is based on the private part of the test set. The results are: | Team | Private F1 ||---------------+------------|| MQ | 0.77807 || AUT NLP Group | 0.74229 || Yarra | 0.72028 || J.K. Rowling | 0.71229 | Congratulations to the winning team MQ! All teams are invited to submit a poster or a paper describing your system and experiments to the 2014 Australasian Language Technology Workshop (ALTA 2014). If you submit a poster: A member of the team will be asked to present the poster at the poster session. I will send further instructions about the format and size of the poster. Please bring the poster to the workshop. If you submit a paper: A member of the team may be asked to present the paper at a special session of the ALTA workshop (it will depend on the workshop schedule constraints). The paper will appear in a special section of the proceedings of the workshop. The deadline for the paper is 7 November. Please send the paper directly to me (shared.task@alta.asn.au). Use the same format and style as the ALTA workshop papers: http://www.alta.asn.au/events/alta2014/alta-2014-instructions.html Feel free to send me a draft of the paper before the deadline and I'll check the contents and format. If you have any general questions, please post in the forum. For questions of private nature, send me an email (shared.task@alta.asn.au).",0,None,13,Fri Oct 24 2014 01:50:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10702,/competitions/alta-2014-challenge,None
/snakehunt2012,How dose the phrases get their own sentiment score (against sentence)?,"What am I wondering is in what method those phrases get their sentiment label, considering that the scores given by users only with the whole sentence. Is there a systematic method to determin sentiment label for every phrases accroding to the label of their mother sentence? How dose the data(train/test) get the sentiment lable for every phrases (against sentence), is that reasonable?",1,None,1,Fri Oct 24 2014 05:32:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10703,/competitions/sentiment-analysis-on-movie-reviews,None
/yimao169270,weather == 4 only has one data in train.csv,I just found out that weather ==4 only has one data in train.csv (index 5632) which makes weather4 has no predication power. I really doubt about the reality of the data.,3,bronze,2,Fri Oct 24 2014 05:44:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10704,/competitions/bike-sharing-demand,138th
/gautamvs,The order of samples and features is random.,"Hello! Everyone, One question: Does it mean the features are not aligned in the train set and test set ? Thanks Regards, Gautam.",0,None,2,Fri Oct 24 2014 06:26:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10705,/competitions/tradeshift-text-classification,183rd
/kkk323,the relationship between circleID and userID,What's the relationship between circleID of TRAINING files and userID of EGONETS files?,1,bronze,2,Fri Oct 24 2014 10:01:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10707,/competitions/learning-social-circles,194th
/cartographic,Validation versus LB score,"It would be shame if people are discouraged by the difference between their own testing and the LB score - I see there are a couple of recent threads on that topic. Here's why you shouldn't let it put you off. I'll use a boosted tree submission as an example (gbm in R). First, the leaderboard score for the model is around 76%. But validation on a 10% sample of the training set suggested 87%. Why the difference? A confusion matrix from the validation sample is the first clue: 1 2 3 4 5 6 7 Score1 310 64 0 0 12 1 20 76%2 84 301 5 0 36 12 2 68%3 0 4 336 14 9 43 0 83%4 0 0 10 419 0 2 0 97%5 0 10 4 0 425 7 0 95%6 0 2 41 4 4 390 0 88%7 8 0 0 0 1 0 420 98% It shows the performance across different classes ranges from 68% to 98% and that classes 1 and 2 are the hardest to separate. And a count of predictions by class from the submission shows why that matters: Class #1 211,229 2 234,732 3 36,391 4 1,974 5 28,176 6 23,780 7 29,610 Of the 566,000 cases, the vast majority are predicted to be 1s and 2s. Now of course we still don't know what the right answers are, but seeing as the LB score is not too bad, we know that this distribution reflects at least a partial truth about the test set and so the performance of the model on classes 1 and 2 matters more than the performance on the other classes. You can confirm this by looking at the validation scores for classes 1 and 2 versus the leaderboard: an average validation score of 72% across those two classes versus a LB score of 76%. And you can always expect these two measures to be fairly close. Anyway, the point of all of this is to say: don't quit just because your validation scores are much higher than your LB scores. Dig a little deeper and it makes sense.",15,silver,9,Fri Oct 24 2014 10:11:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10708,/competitions/forest-cover-type-prediction,176th
/nishkgp,Average AUC,Hello Kagglers ! Just wondering if someone could share the average AUC corresponding to their average logloss score. Will be a great help .,0,None,1,Fri Oct 24 2014 10:24:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10709,/competitions/tradeshift-text-classification,134th
/domcastro,Guys - you need 2 people to flag posts,Help me out! Let's get flagging the spam. Highlight over the user or at bottom of message and you see a FLAG option,3,bronze,5,Fri Oct 24 2014 13:22:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10725,None,None
/lalitapatel,Appeal for a Data File Format for Streaming Data,,-3,None,2,Sat Oct 25 2014 02:28:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10727,None,None
/jiweiliu,hour format,"From data description: hour: format is YYMMDDHH, so 14091100 means 11:00 on Sept. 11, 2014 This is a bit confusing. Isn't it 00:00 on Sept. 11, 2014 ?",2,None,2,Sat Oct 25 2014 02:30:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10728,/competitions/avazu-ctr-prediction,60th
/stevewang0,Welcome to Avazu CTR Prediction Contest!,"Hello Everybody, Welcome! This is Steve, product manager from [Link]:http://avazuinc.com/. [Link]:http://avazuinc.com/ is a leading multinational corporation in the digital marketing industry, specializing in cross-device advertising and mobile game publishing. Digital advertising world is quickly evolving, which is why Avazu has always been investing more in R&D. CTR prediction is one important step of targeting technology. Today we have released 11 days worth of Avazu data (mobile ads) to build and test prediction models. Your task is quite simple: predicting whether a mobile ad will be clicked or not. Can you find a strategy that beats standard classification algorithms? We have also prepared great prizes ($15,000 in total) for the winners, and the first prize winner will get $10,000! Exciting! Isn't it? Why not just come and join this great competition! I am always happy to help you. Just hit me with your questions in this forum. Cheers!",21,silver,30,Sat Oct 25 2014 04:21:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10729,/competitions/avazu-ctr-prediction,None
/dremovd,Intraday clicks,"Hello Looks like data is very strange or this is an export bug. I think this needed to be checked by admins In attach there is plot of clicks rolling mean intraday for all days. It's about the same count of records in every day, so it looks like there are no clicks at all after some time. That looks really strange for me. No clicks means literally 0 clicks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56708/1698/intraday_clicks.png",11,silver,8,Sat Oct 25 2014 08:16:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10730,/competitions/avazu-ctr-prediction,60th
/abhishek,Beating the Benchmark ;),"Inspired by @tinrtgu (http://www.kaggle.com/users/185835/tinrtgu), I present to you a modified version of his script used in tradeshift challenge. LB Score: ~0.0885 pypy takes around 5mins on my system. Vote up if this helped :D [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56731/1699/fast_solution.py",33,gold,44,Sat Oct 25 2014 13:30:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10745,/competitions/avazu-ctr-prediction,6th
/xiaozhouwang,"PZAD fellows, what does PZAD stand for?","Just curious, since you guys almost occupy the top 10 LB right now...LOL",3,bronze,3,Sat Oct 25 2014 18:29:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10747,/competitions/learning-social-circles,77th
/nicholasconnor,Log loss evaluation metric,"For evaluation, is log loss an average of log loss over every line? In my code I have: for row loss += logloss(p,y) line += 1 Should I evaluate myself on loss / line, or just loss?",0,None,1,Sun Oct 26 2014 00:31:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10749,/competitions/avazu-ctr-prediction,None
/wizard3,How to ensemble different models?,"Hi everyone, I am a newbie here, so sorry if this question is naive. I was going through the forums and I found that most of the people in top 100 public leader board used combinations of different models for their final submission. From what I understand, we can just average the predicted values obtained from each model to get the ensemble as shown below: #model1 lm_fit<-lm(y~x1+x2+x3,data=training[train_pos,])lm_predictions<-predict(lm_fit,newdata=testing) #model2 library(randomForest)rf_fit<-randomForest(y~x1+x2+x3,data=training,ntree=500)rf_predictions<-predict(rf_fit,newdata=testing) #model3 svr<-svm(train2,labels,cost=10000,kernel=""linear"")svr_predictions<-predict(svr,newdata=testing) #ensemble steppredictions<-(lm_predictions+rf_predictions+svr_predictions)/3 Is this correct? Are there any other approaches or advanced tools that people use for this? Also, how to determine what weights (w1, w2 and w3 below) to assign to models while creating ensembles? #ensemble steppredictions<-(w1*lm_predictions+w2*rf_predictions+w3*svr_predictions)/3 This would be a really good learning for beginners like me. Thank You for your time.",3,bronze,3,Sun Oct 26 2014 09:31:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10753,/competitions/afsis-soil-properties,None
/blindape,Hold dataset ,"I'm trying some ideas and my results over a random hold dataset (30% of training data) by the moment looks like: y1: 0.00368 y2: 0.00106 y3: 0.00228 y4: 0.00300 y5: 0.00056 This scores are so small that what happened could be: a) well, I'm fantastic and my models will win hands down. b) probably other Ys will be harder to predict than this five. c) probably the hold dataset don't be independent enough from the training data. Experience tell me a) is only a think for a minute of glory and is better down to earth. b) I'll answer this tomorrow... c) This is really what I think. We can't split independently the training data in folds or a hold dataset. While in training data we haven't rows of documents present in test data (I think this, please confirm) in any splitting done in training data we share info over the splitted data because document rows shuffling. Could you please share hold errors over this Ys? If c) I think the gap in hold errors and leaderboard are big.",0,None,7,Sun Oct 26 2014 12:00:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10754,/competitions/tradeshift-text-classification,9th
/haadkhan0,Looking For a Team,"Hivemind, I know the data is not available but since the competition is new I know that teams may not have been fully formed. So if you want a team member with python and R skills we can team up or if you have a team I can join it. Java can also work but a little shaky on that. Hit me up on haadkhan@umich.edu Thanks, Haad Khan",0,None,1,Sun Oct 26 2014 15:40:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10755,/competitions/avazu-ctr-prediction,None
/econoraptor,Anyone want to study statistical decision theory?,"I'm looking for at least one other person to form a study group for statistical decision theory with a Bayesian emphasis. You will need an upper undergrad level of mathematical maturity, knowledge of mathematical statistics, and exposure to Bayesian statistics would be helpful as well.",1,bronze,15,Sun Oct 26 2014 23:39:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10756,None,None
/mahehu,Congratulations to the winners!,"Congratulations and thanks for active participation. The accuracy of the top models is really good, and maybe reaching the theoretical limit, due to noise in the ground truth, as well. I'd love to hear the methods people used. Please share your knowledge in this thread!",0,None,5,Mon Oct 27 2014 09:34:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10758,/competitions/tut-head-pose-estimation-challenge,None
/julesvanligtenberg,"error on submission, result is pending","Hi admins, On Mon, 27 Oct 2014 08:14:52 I made a submission which resulted in an error and which wasn't scored. I can't see anything wrong with the file and I made similar successful submissions before and after this one. I downloaded the submission back to my computer and it seems there was no problem with the transmission. Can you please look into it? Thanks",1,bronze,1,Mon Oct 27 2014 10:11:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10759,/competitions/seizure-prediction,54th
/abhishek,Labels?,Just starting this competition... ;) interictal = 0 preictal = 1 am i correct?,-2,None,7,Mon Oct 27 2014 10:54:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10760,/competitions/seizure-prediction,91st
/mnaetr,Data download?,"Hi, this is my first competition and I can't find where to download the data. Can anyone give me the link? Thanks",0,None,5,Mon Oct 27 2014 11:13:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10761,/competitions/avazu-ctr-prediction,None
/sunu3848,patient's electrodes,"patient1 and patient2 seems to have different number of electrodes,15 and 24 respectively.Anyone know which same electrodes they both share?",2,bronze,1,Mon Oct 27 2014 11:50:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10762,/competitions/seizure-prediction,41st
/mlf26209010,Looking for a team,"Hi all, I am a french student in engineering in my final year, with a background in mathematics and computer science. I have some knowledge in machine learning and I am watching the Mooc of Andrew Ng.I briefly checked a few competitions a few months ago but I would like to get involved in a competition with a team. If anyone is interested, please feel free to contact me ! Thanks, MLF26",0,None,11,Mon Oct 27 2014 19:10:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10763,None,None
/camilomartinez,How is the MAP computed for the competition?,"Hi, I understand that for computing the Precision and Recall (needed to compute MAP) you need to have items classified as relevant or not. In the data provided for the competition we just have the ratings, How do you define which ratings correspond to relevant items? or Is the MAP computed somehow without resorting to define relevant items?",0,None,1,Mon Oct 27 2014 19:59:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10764,/competitions/AUI-Technology-2014-Competition,3rd
/aguschin,Train error sharing,"It's a bit early to begin, but I suggest to share our errors on the train data to see what could be done here. Despite the small error on the Public Leaderboard, my best error on the train is 13900 :)",5,bronze,6,Tue Oct 28 2014 01:36:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10766,/competitions/learning-social-circles,10th
/ydhiman,Time to know difference between private and public score,Can anyone please give a brief difference between the public and private score. or direct me to a link which describes the difference,0,None,2,Tue Oct 28 2014 07:00:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10768,/competitions/afsis-soil-properties,204th
/rohanrao,Highest Rank date,"The 'Highest Rank' for overall Kaggle standings is a nice benchmark for users. Recently, someone asked me when did I get mine. I couldn't figure out. Has someone faced this kind of question ""Ohh! So your highest Kaggle rank is 37th (or whatever). That's good. When did you achieve this?"" Is there a way to find that out? If not, do you think it is something useful? There is a convenient gap in the profile page between the highest rank number and the points (for those not at their highest rank), and it would be great to put in a simple 'June, 2012' or 'December, 2013'. Or maybe a MMM-YY (Apr-14) for consistency.",1,bronze,5,Tue Oct 28 2014 07:57:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10769,None,None
/pietromarinelli,speed up file upload,"Hi everybody, i'm trying to upload my firs submission but it's taking a lot of time. any suggestion to speed up the submissions? best, Pietro",1,None,4,Tue Oct 28 2014 14:41:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10770,/competitions/tradeshift-text-classification,305th
/xiaozhouwang,What will be this one's shakeup?,"This one almost certainly will shake up the LB. Who wants to guess the final result will be? My bet is my rank will probably +/- 80. Bad thing is I cannot go up 80, so.... Any thoughts guys?",2,bronze,4,Tue Oct 28 2014 16:26:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10771,/competitions/learning-social-circles,77th
/podragu,Midway thoughts,"I've worked on this problem for a couple months now, and it's been a blast. Thanks for organizing it! My primary motivation is to get hands on experience with recent research in language processing, while have a fair benchmark to evaluate progress. At the moment, I'm using a feedforward neural network to identify the missing word location, with about 55% success rate and a recurrent neural network language model to predict the missing word with about 50% success rate. Frankly, having a language model that, given a missing word location, gets half the sentences right exceeds my wildest initial expectations. The combined success rate is only about 25%, because the models are largely independent. Given the way scoring works, I only submit about 16% of the phrases, and only get 11% of the words rate, based on a crude grid search. All this for a score of ""5.02"". While I'm having a lot of fun on the coding / experimentation side, I find it very difficult to relate my progress to either published results or other competitors: * The score is an aggregation of the hole model, the language model and the aggregation scheme. I can't tell which model works well and which one needs improvement. * The problem is designed such that comparison with published research is hard. Most published research uses just a language model, and uses either perplexity or, more rarely, word error rate. I could not find a single paper that deals with finding the location where to insert a missing word. * Perplexity comparison is a dead end, because the contest encourages considering the full pre/post context for each word, while published research I found is concerned only with the pre context. For the record, I get perplexity of 11.2, which is so low that I suspect a bug somewhere. * The evaluation code is not open source. It would be super nice to have the source of the evaluation code public, so I could run it on my cross-validation data set, instead of using crufty approximations and/or spending precious time trying to replicate it. I hope that the numbers I made public above will make easier for other competitors to evaluate their approach and/or progress on different aspects of the problem. Regards.",3,bronze,7,Tue Oct 28 2014 18:42:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10772,/competitions/billion-word-imputation,7th
/martinmolina,Workflow Prioitization,"This is my first ML implementation and I am looking for advice regarding where to focus my time. Trying a few different features with random forests I got to about .65 AUC and now see the following possible ways to move forward: Improve cross-validation. My local AUC score was .87377 for a leader-board score of .65010. I withhold 1/4 of the training data for cross validation, while retaining class ratios. I've researched calibration methods (Platt Scaling, isotonic regression) and k-fold validation to hopefully bring local and leader-board AUC's closer. Classifier selection/tuning. Obviously there's a whole world of possibilities here, but based on my reading I though it better to optimize cross validation and get some strong features before taking this phase on...am I mistaken? Feature selection. I tried: FFT, time_correlation, freq_correlation, std, min, max. So far only time_correlation alone have gotten me over .6 AUC. In reading about this problem I've come some other interesting bi-variate features which perhaps I should take a swing at now. Also, I haven't done any data normalization or scaling. I do re-sample both time and frequency domain data down to 400 samples, in order to make training times feasible. My question is, what should I focus on, in what order, and why? (even better, did I miss anything important?) Thanks,",2,bronze,3,Tue Oct 28 2014 19:50:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10774,/competitions/seizure-prediction,142nd
/joycenv,Competition Restarted,"Thanks for your patience as we corrected the data issue. Revised files are now available from the [Link]:https://www.kaggle.com/c/avazu-ctr-prediction/data page. I have also invalidated all previous submissions to the competition. Good luck with the competition, everyone!",2,bronze,32,Tue Oct 28 2014 20:28:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10775,/competitions/avazu-ctr-prediction,None
/jiweiliu,Team name is already in use,"I want to change our team's name to ""carl & morph & snow"" and the system keeps telling me ""Team name is already in use"", which is not the case, apparently. Before the data are revised, our team had made several submissions with the name ""carl & morph & snow"" . That may be why the system confuses. So it is not the name I'm worrying about. it's about the old submission entries that are not deleted completely, I think, although they are invisible now. I made this post so that admins are aware of this confusion of the system and make sure it doesn't cause any side effects to my team and any other teams. Thank you.",0,None,4,Tue Oct 28 2014 22:47:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10777,/competitions/avazu-ctr-prediction,60th
/tyrion,Error occured when I tried to extract the file train_rev1.gz,gzip gave the following message: gzip: train_rev1.gz: invalid compressed data--crc error gzip: train_rev1.gz: invalid compressed data--length error can anybody help me?,0,None,3,Wed Oct 29 2014 07:21:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10779,/competitions/avazu-ctr-prediction,None
/rudikruger,Restaurant Data,"Has anyone used the restaurant data? It seems broken to me : Some lines don't start with a restaurant id, some lines are empty. Am I doing it wrong?",0,None,18,Wed Oct 29 2014 07:39:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10780,/competitions/predict-repeat-restaurant-bookings,5th
/soundwaveli00,hour of day / day of week ctr,"Ignore time zone, just stats from ""hour"" column. hour of day neg pos todal ctr0 1798773 193793 1992566 0.097261 1759721 231674 1991395 0.116342 1728651 262402 1991053 0.131793 1699863 290185 1990048 0.145824 1654363 333623 1987986 0.167825 1633564 353140 1986704 0.177756 1619681 365984 1985665 0.184317 1600562 384909 1985471 0.193868 1597868 386428 1984296 0.194749 1609750 374505 1984255 0.1887410 1596480 388051 1984531 0.1955411 1582541 401835 1984376 0.202512 1534902 448767 1983669 0.2262313 1512588 470455 1983043 0.2372414 1490031 491718 1981749 0.2481215 1487648 492873 1980521 0.2488616 1526381 455294 1981675 0.2297517 1557604 426540 1984144 0.2149718 1625830 360063 1985893 0.1813119 1702435 286429 1988864 0.1440220 1755768 234614 1990382 0.1178721 1783890 208283 1992173 0.1045522 1795188 197810 1992998 0.0992523 1803590 189304 1992894 0.09499 day of week neg pos total ctr1 4023858 746004 4769862 0.15642 3945278 823939 4769217 0.172763 7649254 1878871 9528125 0.197194 7763942 1768174 9532116 0.18555 7938585 1595557 9534142 0.167356 4070863 705628 4776491 0.147737 4065892 710506 4776398 0.14875 Please note, day of week 1 is Monday. (Wed, Thu, Fri has 2 days of data) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56962/1707/hod_ctr.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/56962/1708/dow_ctr.png",12,silver,6,Wed Oct 29 2014 08:21:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10781,/competitions/avazu-ctr-prediction,170th
/stevewang0,Q&A,"1. Q: Why CTR is so high? Normally the industry average is more like 0.1%, yet the CTR of the training data set is between 10 to 25%. How is that even possible? A: The click records and non-click records are subsampled based on different sampling strategies. We have subsampled much fewer non-click records, which makes the CTR really high. 2. Q: By the way, are there any explanations why CTR is maximal on Wednesday? A: We made the data containing nearly 200k records per hour, that is, we first sampled some clicked records, and then added non-clicked records to make them adding up to nearly 200k, so perhaps there is no strong correlation between sampled CTR and true CTR with respect to time features 3. Q: Was the test-data also subsampled based on different sample strategies? A: I use uniform sampling this time，so the data is as IID distributed as possible now 4. Q: Could you tell me whether the first field data are wrong. A: yes, the fisrt field is record id",6,silver,30,Wed Oct 29 2014 08:32:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10782,/competitions/avazu-ctr-prediction,None
/dsoreo,Reading Training data in R,"I found this post on stackoverflow useful to read training data in R. The function read.csv was constantly running out of memory while reading the big training data set. library(RSQLite)# Create/Connect to a databasecon <- dbConnect(RSQLite::SQLite(), dbname = ""sample_db.sqlite"") # read csv file into sql database# Warning: this is going to take some time and disk space, # as your complete CSV file is transferred into an SQLite database.dbWriteTable(con, name=""sample_table"", value=""Your_Big_CSV_File.csv"", row.names=FALSE, header=TRUE, sep = "","") # Query your data as you likeyourData <- dbGetQuery(con, ""SELECT * FROM sample_table LIMIT 10"") dbDisconnect(con)",6,silver,5,Wed Oct 29 2014 10:43:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10783,/competitions/avazu-ctr-prediction,1249th
/adamsoffer,Question About The Submission Deadline,"Am I allowed to submit an entry up until 11/17 only if I previously submitted an entry on or before 11/10? If so, do you advise I just submit samplesubmission.csv now to buy me a week?",0,None,5,Wed Oct 29 2014 14:20:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10784,/competitions/seizure-prediction,464th
/ujwaltrivedi,slow sk-learn learning ,"Not sure if this belongs here. Hi All, I am new to the machine learning and I am trying to use sk-learn for this competition and my mac doesn't have enough memory to learn from this big file. I was thinking of using an AWS machine to learn. I was wondering if you guys have any better ideas to do machine learning faster. Thanks, Ujwal",0,None,7,Wed Oct 29 2014 15:25:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10785,/competitions/avazu-ctr-prediction,721st
/julianmcauley,Congratulations!,"Congratulations all (and especially the winners), and thanks for making this a great competition. It was impressive to see how far the error went down on the public leaderboard over the past few weeks, especially by some of the more recent entrants. And not surprising I suppose to see some surprises on the private leaderboard. If you're interested in working on this problem further, or if you think you have a particularly interesting, novel, or otherwise highly effective solution that you'd like to write about, please reach out to me by e-mail, and I'll be happy to help. Best, and thanks again, Julian",6,bronze,13,Wed Oct 29 2014 17:25:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10787,/competitions/learning-social-circles,None
/taffeylewis,Clarifcation for local evaluation,"Wanting some clarification to make sure I set up my local scoring correctly: since we are predicting Elo for both players of each game, does the MAE apply to both predictions? In other words, is the evaluation done with n=50,000 (25,000 Elo predictions white, 25,000 Elo predictions black)?",0,None,1,Wed Oct 29 2014 18:06:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10788,/competitions/finding-elo,115th
/wcukierski,Use of test data,"Hi all, We've received a number of questions offline about using the test data. It took some time to reach a decision, but we have decided to allow use of the test data to calibrate your predictions. Apologies for any interim confusion and lack of clarity on whether this was allowed. It was a difficult choice given the tradeoffs between using the algorithm in the real world vs. enforcing a fair competition. We are not able to extend the competition deadline due to timing of the AES meeting in December. Instead, we will be increasing the daily submission limit (starting today) to allow you some extra leeway. Thanks for your continued hard work on this problem.",2,bronze,29,Wed Oct 29 2014 19:18:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10790,/competitions/seizure-prediction,None
/bgeier,Seizure prevalence,"Hi, It's sometimes nice to know the actual prevalence. I want to modify my model offset to reflect the subjects actual seizure rate. Can admin provide seizure prevalence for each subject?",0,None,3,Wed Oct 29 2014 20:24:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10792,/competitions/seizure-prediction,71st
/inspector,Strategy for Counting Instances,"Curious how people are approaching the EDA on this file - w/o loading into main memory? Specifically,the approach used to counting the number of unique instances of a given feature value, determining how many of each feature value resides in the training data (to determine which values are 'rare') etc. Is the typical strategy to read in chunks of data at a time and compile counts in a dictionary?",1,None,4,Wed Oct 29 2014 22:41:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10793,/competitions/avazu-ctr-prediction,None
/davidmsmith,Time zone,What is the time zone for the hour field? Assuming it's UTC and not local time at device_geo_country.,1,bronze,1,Thu Oct 30 2014 06:58:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10794,/competitions/avazu-ctr-prediction,None
/fidelcastillo,Looking for a team,"I want try this competition using Hadoop, I'm looking for a mate with a little Hadoop knowledge. I hope that we can do a nice model.",1,bronze,12,Thu Oct 30 2014 11:37:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10795,/competitions/avazu-ctr-prediction,979th
/jasonsumpter,Submission Problems (user error),"I am having trouble uploading a valid submission created using R. When I download and submit the sampleSubmission.csv it works fine. When I read the sample into R and write it back out it won't take it. I get this error. ""Unable to find 4754327 required key values in the 'id' columnUnable to find the required key value '10000071436555295962' in the 'id' column. Unable to find the required key value ..."" It goes on. I have tried write.csv and write.table. I think it has something to do with the lengths of ids. I'm using write.csv(submission, ""file"", row.names=F). When I write a file to csv and read it back into R it seems to maintain all its values. Any thoughts? Thanks.",0,None,3,Thu Oct 30 2014 16:24:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10796,/competitions/avazu-ctr-prediction,None
/nearffxx,How is the test set made of?,"I mean did you use holdout, kfold or something else?",0,None,1,Thu Oct 30 2014 16:34:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10797,/competitions/AUI-Technology-2014-Competition,4th
/rishis,Congratulations and Solutions sharing,"Congratulations to the winners!The problem statement was very interesting and attractive to solve. Should have spent more time on this competition, instead of last minute rush. Here are few things that I tried:1. Stuck to just unsupervised learning and clique percolation for finding circles 2. In cases where the circles were too large/dense to cause resource failure reduce the graph size by- a. Iteratively remove the minimum ranked node from graph, till it is small enough to run clique percolation (This gave me my best train/ public score) b. Graph partitioning and then finding circles (This method didn't perform that well, mostly because the graphs were too dense to give good partitions and circles from 2 different partitions might be a one big circle) 3. For very small graphs, partition the the graphs and give them as different circles Things that I had wanted to try but didn't (Will be trying these soon): - Explore clustering techniques as social graphs might better follow cluster structure than perfect cliques. Plus, they would have been light on resources.- Do a clustering on the non-sparse training features and find intersections between feature clusters and Graph clusters to enhance the the Pure-graph CirclesWould be interesting to find out what other techniques did people try. Were people able to use features to give out better circles?",7,bronze,11,Thu Oct 30 2014 18:08:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10798,/competitions/learning-social-circles,27th
/adjgiulio,What makes a rock-star Machine Learning Scientist?,"A few months back there was a machine learning cartoon going around on LinkedIn (or Twitter...) that showed a sequence of images with commentary. It went something like: picture of supercomputers, commentary ""what my colleagues think I do"". Picture of equations, ""what my friends think I do"". Picture of robots, ""what my mom thinks I do"". The last image was a Python IDE ""from sklearn import svm"", commentary ""What I really do"". Well, ""from sklearn import svm"" is a lot of what I do in terms of algorithmic solutions to machine learning problems. Practically I wouldn't even need to know the mathematics behind the algorithms I use and that would still be plenty good to do well on Kaggle as well as in many business environments. But, does that make me a machine learning scientist? Well, add everything else that goes into solving a machine learning problem, from helping the business define a target, to feature engineering, data crunching, exploratory analysis, sound cross validation... and you can make a decent case that all of that does make you a machine learning scientist. In fact, there are plenty of jobs out there for which these type of skills are plenty good.But that isn't the only type of machine learning scientist. Many times the ability to create novel algorithms comes into play. Scalability is often important. In depth understanding of the algorithms becomes essential...I personally see this second type of scientist as a more senior role, but could be wrong. Perhaps these two are two parallel tracks focused on different objectives and requiring different skills. And maybe they are both just as valuable to a company.What have you observed? And how does one go from I'm pretty good at ""from sklearn import svm"" to being a rockstar machine learning scientist? Is it adding software engineer programming skills, is it focus on scalability, is it in depth knowledge of the algorithms?I'm just interested in knowing what other people have observed.",4,bronze,3,Thu Oct 30 2014 20:05:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10799,None,None
/wnmyj1,sklearn API,"I am using sklearn all the time, but I can't open it's website these days. Can you open it? And I want to know if there is an API document of sklearn. I need it.",0,None,3,Fri Oct 31 2014 02:25:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10805,/competitions/tradeshift-text-classification,278th
/pyongyang,Why so few money prize competitions lately?,Is there no more sponsor? Is kaggle going down?,-10,None,15,Fri Oct 31 2014 14:26:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10807,/competitions/tradeshift-text-classification,None
/triple,"Adding ""Private Score"" on My Submission page (When competition is over)","Hi! I was wondering if it is possible to add the private leaderboard score on ""My Submission Page"" (When the competition is over of course...) ? I think that it could very beneficial for learning. Thanks!",1,bronze,5,Fri Oct 31 2014 17:33:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10808,None,None
/sherlocked0,How to Learn from Non numerical data.,How to apply various Machine Learning Models which demands numerical input when we dont have such data in our data set (like this one). This is a very generalized doubt. Please dont just see it in the light of this question only.,0,None,2,Fri Oct 31 2014 20:59:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10810,/competitions/titanic,None
/adamsoffer,Time Duration of Each Data Row,Do ALL data segments have the same time duration of each data row (600)? I'm wondering because I exported the data segments to csv files which don't include data_length_sec or sampling_frequency. If I know for a fact all data segments across all subjects have the same time duration then I can calculate the sampling frequency myself.,0,None,1,Fri Oct 31 2014 23:13:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10811,/competitions/seizure-prediction,464th
/negelis,Description of named variables,"Hello all, I'm wondering if we can get more specific description of the named variables, which I believe is vary important for us to tune the model. Without further description and if the named variables are understood literally, I'm very confused with the data provided. For example, in the training data, the same device_id has different device_make, device_model and device_os. But how to understand this? One device should have just one id, one operation system, and is belonging to one kind of model. Thanks!",0,None,1,Sat Nov 01 2014 05:00:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10812,/competitions/avazu-ctr-prediction,None
/vishalsurana,How to interpret training data?,"I would request the competition organizers to provide more details about the nature of the data. Lets consider the first row of training data: id,click,hour,C1,banner_pos,site_id,site_domain,site_category,app_id,app_domain,app_category,device_id,device_ip,device_os,device_make,device_model,device_type,device_conn_type,device_geo_country,C17,C18,C19,C20,C21,C22,C23,C24 10000222510487979663,0,14100100,1005,0,d41d8cd9,d41d8cd9,d41d8cd9,ee72efa5,85262c2b,7e5068fc,d41d8cd9,22f9c6ba,c31b3236,3d517f89,3e238c9b,1,0,fc9fdf08,11999,320,50,1248,2,39,-1,13 A general comment is that you should provide a handful of rows that are NOT anonymized. They needn't be part of training and test data. They don't even have to be from real world dataset- just some possible scenarios. The purpose of these examples would be to allow us to understand the data better rather than trying to guess what they are. Back to the training data example. In this example, site_id = site_domain = site_category. Also device_model = device_make. What does it mean for variables in different dimensions to have same values? Can they be compared? I presume equal values in the same dimensions are just a coincidence. Is there any way to infer these anonymized values? E.g. aaaaa is closer to aaaaz than zzzzz? Does banner_pos = 1 for device_type X mean the same thing as banner_pos = 0 for device_type Y? As you can see, I can ask the same question for different variables (app_category, etc.) and there would be an endless combination of variables. I mentioned this before, but it will be incredibly useful if you can provide some sample values for each of these and other variables.",2,bronze,4,Sat Nov 01 2014 07:21:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10813,/competitions/avazu-ctr-prediction,None
/alexandrekowalczyk,About the Open Source requirement,"I have a question regarding the Open Source requirement for the code. A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license:* other than an Open Source Initiative-approved license (see <http://opensource.org/>); or* an open source license that prohibits commercial use. If I put the data in a SQL Server database (which is not open source) to gather some statistics about the data and perform queries. And then use some C# or R code to train a model using the CSV file will this make my submission ineligible to win a prize? I wonder because in this case the whole training and prediction code would be open source, but the first step of my methodology would not be reproductible by someone not having SQL Server. So should I use other databases for this step too or is it ok to use SQL Server?",0,None,2,Sat Nov 01 2014 13:08:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10814,/competitions/avazu-ctr-prediction,None
/chuzzelwit,Understanding the data,"It's not clear to me what the values for the electrodes represent. This is what Kaggle says about the data: ""Intracranial EEG was recorded from dogs with naturally occurring epilepsy using an ambulatory monitoring system. EEG was sampled from 16 electrodes at 400 Hz, and recorded voltages were referenced to the group average."" After some research, I think I understand what sampled at 400 Hz means, but I am still unclear about the recorded voltages referenced to the group averages. I would like to know what is meant by a value of -26 for eletrode NVC1202_32_002_Ecog_c002 for Dog_1? Any guidance or references to resources would be greatly appreciated. Thanks.",0,None,9,Sat Nov 01 2014 13:21:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10815,/competitions/seizure-prediction,481st
/sebj1200532,Did someone tried a Naive Bayes classifier ? ,"Hello everybody, I have implemented a naive Bayes from scratch in C++. I can't get a better score than 0.6 with my algorithm. I don't know if this bad score is caused by a bug in my program, or if the assumptions done by the naive Bayes are simply too limiting do get a decent score for this type of problem. Has anyone else tried a NB for this challenge? Which score did you get? Thanks !",0,None,5,Sat Nov 01 2014 18:29:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10818,/competitions/avazu-ctr-prediction,None
/shahronak47,What does the feature 'atemp' signify ?,"In the data description 'atemp' is described as ""feels like"" temperature. What does that mean? If it really is ""feels like"" temperature then who decides what does it ""feel like"" ? Why is there so much of difference between 'atemp' and 'temp' ?",0,None,1,Tue Nov 04 2014 14:36:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10833,/competitions/bike-sharing-demand,1671st
/poojits,Workflow and Infrastructure,"I am new to Kaggle and would like to get some advice. Can you guys share your workflow and infrastructure?Generally, how do you deal with datasets that do not fit into memory? I am using R and would like to know how to make use of packages like bigmemory and ff along with various machine learning algorithm packages. Thanks.",3,bronze,9,Wed Nov 05 2014 06:00:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10841,/competitions/avazu-ctr-prediction,None
/kratar,Interpretation of stockfish data,"Is there a reason why the 625th party has no data in the stockfish.csv and what does mean the ""NA"" at the end of the 624th party ?",0,None,1,Wed Nov 05 2014 12:20:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10843,/competitions/finding-elo,141st
/abhishek,Predict Movie Ratings,"I started this competition http://inclass.kaggle.com/c/predict-movie-ratings for students of my university who are taking RecSys lecture. If you are interested in this, give it a try as its open for all :)",43,gold,5,Wed Nov 05 2014 17:10:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10844,None,None
/avishek,"Few thoughts about ""device_id""","Hi All, Just a quick check about my understanding of the field ""device_id"" . I suppose its a unique identifier of the device from which the website and the ads were viewed. A device might be a desktop, laptop, tablet, mobile ph. etc. So if ""device_id"" is indicative of a device, I'm just wondering how a particular ""device_id"" can show up a very large number of times in the test dataset, which is just one day's history from the website unless my interpretation of ""device_id"" is different from what it actually represents. I would appreciate if contest organizers or other participants can share their views about ""device_id"". Thanks, Avi",1,bronze,8,Thu Nov 06 2014 01:20:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10848,/competitions/avazu-ctr-prediction,64th
/wangtianyi,Benchmark with Spark ,Spark + one-hot Encoding+LBFGS L1 Logistic Regression https://github.com/bayesquant/KaggleTradeShift/blob/master/TradeShift.scala,5,bronze,13,Thu Nov 06 2014 04:23:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10849,/competitions/tradeshift-text-classification,203rd
/slobo777,Any neural network models doing well?,"I always compete using a neural network model. Just because I like them, not because I expect them to win. I understood the fast online code from ""how to beat the benchmark"" threads, and could still make time to implement that and post the results if it was just about ranking. But my personal challenge is simply to place my nn model as high as it can get. I have tried a variety of architectures, learning meta-params, regularisation, different sizes and types of category expansion. For a large range of them, I getting the same ballpark CV and LB scores - from 0.010 to 0.013. It doesn't seem to matter whether I have architecture of ([features] 50 33) or ([features] 2000 2000 33), or whether I expand categories to 5000 or to 500000 features. I can over-fit (training score of around 0.005), so I know the model has capacity to learn the training set, but is not generalising. I'd be very interested to know whether anyone else has got a better result with neural networks, or whether there is a good reason for this limitation. Does the nature of this competition make neural networks simply a bad fit to the problem? I cannot think of why that might be the case, except for computational power overhead. I will be very interested to read any details *after* the competition ends, if anyone is generous enough to write up their approach, but for now it would be good to know whether it is worth looking for a mistake or missing ingredient in my implementation. ---- Edit: I think I found something - the nn library I am using matches sigmoid output with least-squares error. I had patched the loss function correctly, but had missed the derivatives of error by activation on the output layer. I have made what I think is the correct adjustment, and am trying that out. The behaviour of the network is somewhat different now, so it may take a few runs to figure out if that is a major contribution to my problem. Update: No, that wasn't it either, although I think I have just made it a little more stable and quicker to converge - typically I get best solution on epoch 3, beyond that is minor degree of overfit.",6,silver,14,Thu Nov 06 2014 09:39:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10850,/competitions/tradeshift-text-classification,234th
/shahronak47,Can I solve this by using R language?,Is it possible to solve this using the R language? Has anybody tried?,0,None,3,Thu Nov 06 2014 10:35:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10851,/competitions/street-view-getting-started-with-julia,None
/mike64,DEVICE_GEO_COUNTRY,"Hi everybody! is there any way to know that is representing the values of device_geo_country variable? I mean, there are 232 different values for all length 8... then, every different value is a country? or maybe the first digits refers to the country and the following to the región?, if so, how many and which digits represent the country?? thanks!",0,None,26,Thu Nov 06 2014 16:13:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10853,/competitions/avazu-ctr-prediction,None
/mmoreaux,Submitting after the date (for free),"Hey, I just want to do some researches using that data-set,Will I be able to submit and get a score after the deadline. Thanks.",1,None,3,Thu Nov 06 2014 17:26:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10854,/competitions/tradeshift-text-classification,None
/soheilhooshdaran,Meanings of numbers,"Hello. Sorry., the sample submission files just list numbers. For example, What does it mean that prediction=1? Thanks in advance",-2,None,7,Thu Nov 06 2014 20:51:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10855,/competitions/seizure-prediction,489th
/kolai254906,Non-technical question re this competition,"I am completely new to this field but very keen to knwo more about the tools and methods used. In saying that I am somewhat confused exactly what is meant to be done in this competition. We have 2 datasets to use . One tells us about all passengers, the other tells us about some of the paasengers and whether they survived or not? I am unsure about the purpose of this second set. I thought we were trying to work out who may have survived but this smaller set is actually telling us who did survive ? Or are we meant to find things in this second set that could be used as things to indicate whether someone may or may have survived. And then we use things and apply them to the bigger set to see if it can predict who survived? If this is too simple to be asking and too much of a beginners question please delete it admin. Also where are people learning the techniques and what they actually do and mean ? I have found some tutorials and I can follow the instructions, but I dont know the theroy and reasons behind why the stuff does what it does. How did you go about learning the theory and why things work the way they do ? thanks",0,None,1,Fri Nov 07 2014 02:40:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10856,/competitions/titanic,None
/dataying,how can it be possible?,that the score can be almost zero???!!!,0,None,2,Fri Nov 07 2014 06:47:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10857,/competitions/bike-sharing-demand,835th
/martinji,If game 23782 is genuine I'll eat my hat ...,"According to one of the measures I've developed for assessing the games, game 23782 is the second worse game in terms of average quality. So I was surprised to see it was between two grandmaster level players with ELO>2500. This piqued my interest so I loaded it into a viewer and was surprised to see these two experts place piece after piece en prise for no apparent reason. It looks like a game between two players rated <1000 ELO. I found the game in question on the chesstempo web site, and the score does match what's in the dataset here, but it clearly must be wrong. There is no way two players of that level would play that game. Within such a large dataset I guess there are going to be a handful of anomalous game scores, and we can consider them the equivalent of outliers, but I thought I would flag it for others' info and interest. It's quite a funny game to play through if you know anything about chess. Incidentally the only game worse on my scoring, 42887, also looks very unlikely. Black's Queen is very obviously en prise to a knight for 17 consecutive ply but neither white nor black seem to notice. Later white consistently fails to take a black rook with the same knight. The game would make sense if that knight wasn't ever on that square.",7,bronze,2,Fri Nov 07 2014 07:25:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10858,/competitions/finding-elo,73rd
/mquad88,Notes on the MAP metric,"Dear competitors, recently some of you asked me some clarification over the metric used for the competition. I know that there is a lot of confusion around precision vs. accuracy metrics, and maybe there is a lot more confusion when we look to the various accuracy metrics that are used in information retrieval ( [Link]:http://en.wikipedia.org/wiki/Information_retrieval). To help you in understanding how they work, I created a shared spreadsheet you can use to play with them. It's straightforward to use, you simply have to modify some of the rankings (for sake of simplicity, they are represented as binary relevance vectors) and see how the various accuracy metrics change. You can access to this document [Link]:https://polimi365-my.sharepoint.com/personal/10290431_polimi_it/_layouts/15/guestaccess.aspx?guestaccesstoken=aoHkfmduPnxrFYGZDro1VGNZv0zUYWsx%2btdjLxh7aJU%3d&docid=1c97557bb7dd6450abc7cf13c8e26ad13 (please download it, do not edit the online version). Regarding the MAP metric, simply consider it as the Mean of the Average Precision over all the users in the test set. Let's say, for example, that we have a catalog of 50 items and 3 users to test, each one having this relevant items ids: User, Relevant items Ids A, 1 2 13 33 35 46 47 48 49 B, 2 3 5 10 12 24 27 28 32 44 49 C, 5 6 8 11 12 13 15 17 20 23 24 25 27 We want to recommend at most 5 items to each user, and evaluate the accuracy of our recommendation with MAP@5 metric (notice that every user has at least 10 relevant items, which ensures that there will be at least 5 relevant items to recommend after we reduced to 5 ratings/user in the test set). Let's say that our recommender suggest these 5 items per each test user: User, Recommended Items Ids A, 13 4 5 44 23 B, 7 3 25 24 41 C, 12 22 23 7 27 To compute the accuracy, let's convert our numerical rankings into binary rankings, where 1's stays for relevant items, 0's for non-relevant ones: User, Binary Ranking A, 1 0 0 0 0 B, 0 1 0 1 0 C, 1 0 1 0 1 Let's then compute the average precision for each user: $$ AP@5(A)=\sum_{k=1}^5{rel_i\cdot P(k)}=\frac{1\cdot 1/1+0\cdot1/2+0\cdot1/3+0\cdot1/4+0\cdot1/5}{5}=0.20 $$ $$ AP@5(B)=\frac{0\cdot0/1+1\cdot1/2+0\cdot1/3+1\cdot2/4+0\cdot2/5}{5}=0.2 $$ $$ AP@5(C)=\frac{1\cdot1/1+0\cdot1/2+1\cdot2/3+0\cdot2/4+1\cdot3/5}{5}=0.45 $$ Thus, the resulting MAP@5 is: $$ MAP@5=\frac{1}{3}\sum_{i=1}^{3}{AP@5}_i=\frac{0.20+0.20+0.45}{3}=0.283 $$ I hope this can help you in understanding our evaluation process! :) Best EDIT: If your are not able to see the equations, please copy-paste them [Link]:http://www.codecogs.com/latex/eqneditor.php. I'll try to fix it asap.",1,bronze,6,Fri Nov 07 2014 12:56:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10859,/competitions/AUI-Technology-2014-Competition,5th
/saptarshi207,Looking for team mates,"Hi,I am an analytics consultant and want to work in this project in R.is anybody interested to build the project with me.Thanks",0,None,10,Fri Nov 07 2014 15:51:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10860,/competitions/avazu-ctr-prediction,None
/kskianis,Contributions to seizure prediction challenge after deadline,"Hello, Is it possible for someone to submit his results after the deadline to have them scored and just see if his approach was better? Thanks",1,bronze,2,Fri Nov 07 2014 18:18:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10861,/competitions/seizure-prediction,None
/peacer,lowercase?,New to this forum. I browsed the data quickly in order to get some sense of the competition. I noticed that both training and test texts are not lower cased. Will lowercase help the model training and prediction?,0,None,2,Fri Nov 07 2014 18:54:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10862,/competitions/billion-word-imputation,30th
/mrnustik,Unable to submit at Friday 7th November,Is something wrong with Kaggle today? I tried to submit my solution a dozen times today but with no success. http://www.kaggle.com/c/tradeshift-text-classification/submissions/attach loads very slow (cca 30s) and after selecting solution and click no data are send (according network monitor) and following page with submission result doesn't show. I'm from Czech republic. I tried it in Chromium 38.0.2125.111 and Firefox 33.0.3 on Archlinux.,1,bronze,7,Fri Nov 07 2014 23:01:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10864,/competitions/tradeshift-text-classification,301st
/abhishm,Data set missing,The total number of data in the training data set is not a multiple of 24? Is any data missing?,1,None,5,Sat Nov 08 2014 04:30:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10865,/competitions/bike-sharing-demand,1818th
/kolai254906,Any beginner tutorials that explain WHY not just HOW?,"I am new to all of this so figured I'd start with the Titanic problem. I had a look at various tutorials. They are all great and useful but I haven't found one that explains why they are doing what they are doing and why what they are doing does what it does. I fin just copying a tutorial only gives one part of the picture. I also like to know why something works the way it does. E.g some refer to a logistic regression, but they don't explain why it applies to the scenario at hand nor do they explain how a logistic regression works or why they chose it. (I have no idea what one is so just have to take their word for what they are doing…It feels like painting by numbers)",0,None,1,Sat Nov 08 2014 05:35:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10866,None,None
/analyticsfactory,can results be submitted  in statistica because unable to import in R,can i submit results in statistica,0,None,2,Sat Nov 08 2014 11:48:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10867,/competitions/avazu-ctr-prediction,None
/saracennnn,Using Hidden Markov Models,"Hello, I'm recently reading about HMMs and wanted to know if using it was appropriate for this problem. I tried log regression and got good results on this problem and thought of using HMMs as a learning experience to see if they can work too. From my understanding, HMMs rely on problems that are sequenced and I'm not too sure if the data format we get for this problem (28x28 pixels) can be classified as being sequenced with respect to time. But anyways, I tried building 10 HMM classifiers (one for each digit) using Kevin Murphy's HMM toolbox with Q=3 states and O=256 observations. Again, I'm not too sure if I'm correct about using these values for Q and O. When training each HMM using dhmm_em, I randomly initialize the parameters (prior, transmatrix, obsmatrix ) and only pass the training data for that class. But I wanted to ask if it's normal that I'm getting very small loglik values on each iteration, like around -23000. Also, considering that I have Q = 3, O = 256, and roughly 4200 training examples is each iteration of dhmm_em supposed to take a while, like 10 minutes? So. to summarize my questions: Is HMM possible for this problem? If so, am I doing it right? If not, how should I do it?",1,None,1,Sat Nov 08 2014 14:53:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10868,/competitions/digit-recognizer,None
/bscully,Experience Hosting a Competition?,"My dataset might interest many data modelers so I’d like to host a competition.I have weekly NFL statistics since 2004 that covers rushing, passing, sacks, kicking, turnovers, points, vegas spread, vegas total, bye weeks, qb rating, game streaks, etc, etc. Essentially 70 variables that encompass pro football. Why applicable to the community? Forecasting NFL games could help one’s fantasy football team, an office pick’em league, or even help start a career in the growing world of sports analytics. The Kaggle wiki has information under ‘Resources for Competition Hosts’ but I’d like to hear from the community on any additional pointers. Finally, assuming the project is well documented and professional looking, any ball park odds on it being accepted? Thanks, Ben",0,None,2,Sat Nov 08 2014 14:56:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10869,None,None
/ruzhang,How to understand these variables?,"Folks, I cannot understand these variables. Can anyone interpret them? For instance, what does app represent? What is the difference between device_id and device_ip? What is the difference between site_id and site_domain? Thank you very much!",0,None,10,Sat Nov 08 2014 19:02:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10870,/competitions/avazu-ctr-prediction,None
/acpigeon,Handling the training data at scale in Python,"Hey everyone, Kaggle newcomer here. The training dataset here is larger than what I'm used to dealing with, i.e. bigger than my machine limits. I'm used to using the Python/SKLearn toolchain, and I'm wondering if that is still a valid approach in this situation. Conceptually, here's what I think I have to do:1) Split the training csv into two files using a random 70/30 split, ideally a different split for each training run2) Use a generator to yield the lines in the resulting files for one-by-one encoding3) Use another generator to feed the output of the previous generator into sklearn for training / xvalidation.4) Use another dual generator setup on the test data set to write out predictions Is there a Pythonic way to handle this problem at scale? Does this put me outside the realm of sklearn and into hand rolled model implementations, e.g. [Link]:https://www.kaggle.com/c/avazu-ctr-prediction/forums/t/10745/beating-the-benchmark? Would love any advice that I could get for this problem. Thanks in advance!",0,None,3,Sat Nov 08 2014 20:55:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10872,/competitions/avazu-ctr-prediction,1403rd
/jaredraymond,Can No Longer Submit?,"I remember looking at this project a few weeks ago and I thought that we were still able to submit the test data, even long after the contest was over. Now I have test data ready to submit and I can't find where we ""make a submission"" My project depended on the accuracy percentage on the test data from Kaggle and now it doesn't seem possible for me to submit. Did this go away recently? Is there a way for me to submit the data?",0,None,1,Sat Nov 08 2014 21:20:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10873,/competitions/PhotoQualityPrediction,None
/ankney,"Lowest Temperature in DC -8.3 C in 2011 and 2012, not 0.82 C.","I've lived in DC for the past two years and even though winters are pretty mild, it can still get pretty cold, definitely below freezing. So when I saw that the minimum values for temp and atemp were just above freezing (0.82 and 0.76 C, respectively), something didn't look right. I checked out Wolfram Alpha and they claim that the low for both 2011 and 2012 was 17 F, -8.3 C, in the month of January. Has anyone else noticed this? I feel like the difference in temps is pretty significant. Do we know how Bike Share comes up with the temps?...average over the area of DC?..from a single station in the District? Let me know what you guys think!",2,None,1,Sun Nov 09 2014 06:23:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10874,/competitions/bike-sharing-demand,None
/ankney,Weird Labeling Practices,"While looking through the dataset, I noticed that the labeled sentiment score for phrases is different in cases where it should show the same value. For instance, take a look at the scores for these two examples. Sentence 4: 117 4 A positively thrilling combination of ethnography and all the intrigue , betrayal , deceit and murder of a Shakespearean tragedy or a juicy soap opera . 3118 4 A positively thrilling combination of ethnography and all the intrigue , betrayal , deceit and murder of a Shakespearean tragedy or a juicy soap opera 4 Sentence 5: 157 5 Aggressive self-glorification and a manipulative whitewash . 1158 5 Aggressive self-glorification and a manipulative whitewash 0 In both cases, the ONLY difference between the phrases is the period at the end of the sentence. The missing period should play no roll in measuring the sentiment of a phrase and the scores should be the same. Has anyone else addressed this?",1,bronze,3,Sun Nov 09 2014 08:14:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10876,/competitions/sentiment-analysis-on-movie-reviews,None
/ydhiman,Size of data ( became a curse for me in this competition),Wallah !!! I had my eyes open . Should I go for Hadoop ? but what if I am using only one machine :(,0,None,7,Mon Nov 10 2014 07:36:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10879,/competitions/tradeshift-text-classification,None
/bertrandr0,cariage return in the datas,"Hi everybody, I like to load big files in an sql server. I usually use Microsoft sql server -> it fails. I tried with postgresql, and I have a error message saying there were a cariage return in the data line 2. Does anyone have this issue (and a solution) ? This error appears in the test set (not tried to load the train one at the moment) Thank you by advance",0,None,1,Mon Nov 10 2014 08:13:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10880,/competitions/avazu-ctr-prediction,634th
/kunjal,not received code to make submission,"Moderators, Please can you check, I havent been verified and could not upload my solution.",0,None,3,Mon Nov 10 2014 10:39:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10882,/competitions/avazu-ctr-prediction,1471st
/juliandewit,I'd like to join the competition but I am a bit worried.,"Hello, I did some initial tests and I see some promising results so I'd like to join the competition. However.. I see that the anonimised data is being cracked. With all the brainpower + computing power here it might be a matter of time before the data is not anonimised anymore. (See the GEO_COUNTRY topic) I'm a bit worried what will happen then..Are we allowed to use this decoded data ? Will the competition be halted ? Before I start to get hooked (which I always have once I have made a submission) I wanted to make sure if everything is stil fine and what the consequences will be.",9,silver,4,Mon Nov 10 2014 11:16:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10883,/competitions/avazu-ctr-prediction,4th
/tijlkindt,Confidence intervals for Log Loss metric?,"Quite a few Kaggle competitions have used or are using the Logarithmic Loss metric as the quality measure of a submission. I'm wondering if there are other ways besides N-fold cross-validation to calculate confidence intervals for this metric. If model X has a log loss of 0.123456 on the test set and model Y has a log loss of 0.123457, I'm sure you'll agree that model X is not significantly better than model Y, unless we're talking about a gazillion data points. Why something else than N-fold cross-validation? Simple answer: performance. For a certain application I need to know whether model X is significantly better than model Y (when looking at Log Loss). In other words, I need to know whether the Log Loss for model X falls outside the 95% confidence interval for the Log Loss of model Y. I need to do this comparison many, many times with different models and datasets that are coming in every day. Performance is crucial, so doing 10-fold cross-validation a 1,000 times to get a rough estimate of the confidence intervals is not going to cut it, I'm afraid. The datasets for which I have to calculate the log loss are usually in the range of say 50 positives and 10,000 negatives to 20,000 positives and 1 million negatives. What would you advise?",3,bronze,4,Mon Nov 10 2014 14:22:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10885,None,None
/wcukierski,Competition put on hold,This competition is temporarily on hold while we investigate a potential issue with the data set. Apologies for the inconvenience.,3,bronze,63,Mon Nov 10 2014 15:41:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10887,/competitions/avazu-ctr-prediction,None
/mrtwiggy,Methods for organizing models? (In R),"I'm looking for advice/methods that you've used to organize/keep track of various models and their performance in R. At the moment I'm resorting to just writing down 'v1', 'v2', 'v3' and saved all the model generations but it's beginning to become a handful. Thanks in advance for any responses.",0,None,1,Mon Nov 10 2014 18:37:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10888,None,None
/jiweiliu,This is too much drama,"6 hours left and we have the same score. Literally, same. :D steal the fig from Giulio :P",10,silver,41,Mon Nov 10 2014 19:03:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10889,/competitions/tradeshift-text-classification,1st
/adjgiulio,Is this a close finish or what?,Never seen something like this with so few hours to go. 1 ↑1 carl and snow 0.0042544 2 ↓1 Les Trois Mousquetaires 0.0042544 Good luck everybody! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/57629/1727/tradeshift_lb.PNG,5,bronze,5,Mon Nov 10 2014 19:07:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10891,/competitions/tradeshift-text-classification,5th
/avisochek,Can't get the format right...,"I'm trying to get in my first submission, but I can't get the formatting right, and I don't know if I can figure it out before the deadline. Is there anything I can do so that I can make further submissions for the rest of the week?",0,None,2,Mon Nov 10 2014 19:07:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10892,/competitions/seizure-prediction,492nd
/breakfastpirate,I'm predicting very little Leaderboard Shake-Up,"Yes, scores are close (top 2 very close), but I don't think the Leaderboard Shake-Up will be very large on this contest. Test set is large, and I think many people are using variations of the same solutions (and thus should move in tandem). I predict in the neighborhood of Greek Media. For what it is worth, the shake-up history is below. Note that I've added Africa Soil which had very high shake-up: Competition Shake-up Shake-up (Top 10%)See Click Predict Fix 0.004 0.005Genentech 0.006 0.000Walmart 0.007 0.006Yelp 0.007 0.007Greek Media 0.009 0.008Heritage Health 0.012 0.015Avito 0.013 0.009Expedia 0.013 0.001Deloitte 0.016 0.027Amazon 0.016 0.012Upenn Seizure 0.019 0.019Acquire Valued Shoppers 0.023 0.011Higgs Boson 0.033 0.050PAKDD Asus 0.036 0.016Loan Default (Imperial) 0.065 0.012Liberty Mutual 0.073 0.077Allstate 0.076 0.023DonorsChoose.org 0.078 0.066Decoding Human Brain 0.092 0.101Stumbleupon 0.095 0.184Africa Soil 0.119 0.181MLSP2014 Schizophrenia 0.240 0.385Big Data Combine 0.300 0.592 shake-up = mean[abs(private_rank - public_rank) / number_of_teams]",6,silver,9,Mon Nov 10 2014 20:48:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10893,/competitions/tradeshift-text-classification,27th
/chipmonkey,Feature Request: Competition List Days Remaining Tweak,"I've been bitten by this a few times, again today on the Epilepsy competition, where the front page says the competition has some time left, and I have some free time, so I decide to enter just to realize as I start to make a submission that I'm too late to actually compete. It's my own fault, I realize, waiting until late in a competition to start, but I was wondering if there was some way to update the front page to indicate what stage a competition was in, as well as the time remaining. The entries are already color coded, I think, indicating whether or not you've already entered (if you're logged in to the site), so I figured it shouldn't be TOO hard to replace or add to the remaining time indicator to say ""closed to new entrants"" somewhere? Alternately, maybe in addition to the red background for competitions you've entered, possibly a dark gray or other color to indicate a competition that you have not entered that is closed to new participants. Or something. I'm sure you've got more pressing issues, but I must not be alone as a type of person that simply logs on when I have a few days of rare free time to try and noodle on a few Kaggles. This would be a minor but helpful change. Anyway, just a thought. Thanks!",1,bronze,1,Tue Nov 11 2014 02:34:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10896,None,None
/abhishek,im bored!,"Just one competition left to work on??? Is kaggle announcing any new competitions soon? If not, I'll have to go out and play football in my free time :(",15,gold,35,Tue Nov 11 2014 11:16:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10898,None,None
/hananshteingart,deadline was misleading,"Hi, I wanted to upload my predictions today (already subscribe for the competition before) but apparently you had to put your first prediction until yesterday (""team merge deadline""). This is not fair. I worked a lot on this competition! The headline says 6.5 days to go but I cannot upload my predictions! Hanan.",-2,None,21,Tue Nov 11 2014 11:53:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10899,/competitions/seizure-prediction,None
/jiweiliu,Solution sharing,"Hi, sorry to disappoint you that there is no magic but brute forcing and many many machine hours. All our work are based on Dmitry and tinrtgu's great benchmarks, and Tianqi Chen's great tool Xgboost. https://github.com/tqchen/xgboost Many many thanks! You are the true heroes! Our winning solution ensembles 14 two-stage xgb models and 7 online models. Our best single xgb model gets 0.0043835/0.0044595 for public and private LB. It is generated as follows: 1) Use the second half training data as base and the first half training data as meta, instead of random split. (this is key!) 2) we use four base classifiers: random forest for numerical features, SGDClassifier for sparse features, online logistic for all features and xgb for all features. 3) For meta classifier, we use xgb with depth 18, 120 trees and 0.09 eta. The xgb models could be memory intensive. We use a 8-core 32 GB memory server for most of our submissions. Thank my boss for the machine :P We will make a formal description and code release after some cleaning up. Cheers! =================================================================== Something we tried but it didn't work 1) bagging trees of different sub-sampling of columns of xgb trees by tuning ""colsample_bytree"". This trick is shown to work well in higgs contest but we have no luck. It only gives a very little improvement. 2) Add a third layer to Dmitry's benchmark. The score is not that bad but it just doesn't blend well with our existing submissions. 3) structured learning. We try to use pystruct, https://pystruct.github.io/, to predict a sequence rather than each label separately. This is our problem. we could find a way to make it work. 4) predict sequences rather labels. there are only 141 unique combinations of 33 labels in training sets, which means we can encode the 33 labels to 141 new labels and predict them. The score is really bad when we translate them back.. =================================================================== About Xgboost I sincerely suggest everyone use it. It is fast, easy to customize and just giving really really good performance. It generates our best solution in higgs, liberty and this contest. Please check this feature walk through, https://github.com/tqchen/xgboost/tree/master/demo And this introduction http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf And how people enjoy it: https://www.kaggle.com/c/higgs-boson/forums/t/10335/xgboost-post-competition-survey We'll publish xgb benchmarks in future contests :D",25,gold,40,Tue Nov 11 2014 12:35:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10901,/competitions/tradeshift-text-classification,1st
/ganeshkumar3,where to start?,"I am new to kaggle. I have little experiance in R. I have lots of materials to study like introduction to statistical learning, elements of statistical learning, rcookbook, etc but dont know exactly where to start to get enough knowledge to participate in kaggle competitions. It would be a great help if some suggests what all i should learn? Thanks in advance",0,None,2,Tue Nov 11 2014 18:33:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10902,None,None
/trevorstephens,The Kaggle Rank-O-Tron,"After being harassed on Twitter this morning by [Link]:http://www.kaggle.com/users/5309/abhishek to update the data, it occurred to me that I never posted this here... Back in April I built the [Link]:http://rankotron.trevorstephens.com/. Basically you can enter your current Kaggle points, your expected placement in a soon-to-close competition and an estimate of your future ranking will automagically appear for you. It's simply based on the official [Link]:https://www.kaggle.com/wiki/UserRankingAndTierSystem used to calculate points and many other factors can and will move other Kagglers around you, so it's just a rough idea of where you will move to. I've been trying to update the tool soon after the close of each competition, but apparently not fast enough for some :P",7,silver,5,Tue Nov 11 2014 21:38:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10903,None,None
/speechmachine,Feature vector size,"Hello Everyone, I got into the competition late. But nonetheless, the task as I understand it is to predict/classify if each 10 minute segment is interictal or preictal. I extracted some features based on the fft and correlation of fft coefficients between channels. Even doing an analysis on 10 seconds chunks yields a really large dimensionality on the input data feature per 10 min segment. If one throws this into a logistic regression classifier, I find that the model (tested only on a single subject e.g. Dog4) horribly overfits to the training data given the super-large number of parameters. Is anyone else seeing similar behaviour? Also neural networks would suffer from the sheer size of the input layer. Is L2/dropout helping anyone who tried that? Also has anyone looked at any dimensionality reduction algorithms?",0,None,3,Tue Nov 11 2014 23:44:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10904,/competitions/seizure-prediction,198th
/artemmezhenin,Online Python environment for this competition + solution,"Hi all. I want to share my snapshot of IPython notebook, which you can use to write your own solution for this competition. I uploaded training and test sets. I also wrote simple solution with RandomForest. You can use it as starting point for your own solutions. This snapshot will be especially useful for newcomers, because all libraries are already installed for you. Also you can add more RAM and CPU to your instance ""on fly"", which I found very useful. Here is link: https://www.terminal.com/tiny/ktoT6KfqDi . I'm going to create similar snapshots for other Kaggle competitions, so I would be glad to hear your feedback.",1,None,7,Wed Nov 12 2014 02:51:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10905,/competitions/bike-sharing-demand,2859th
/hananshteingart,Looking for a team to try out my submission,"Hello, I didn't noticed that 10/11 is the last day for first submission. If you tried a submission and got a bad result but you would like to have a better Kaggle credit, I am willing to give you my submission so you can submit on my behalf. I am very curios to see my results. It is not likely to get to the first 3 rank but if we will, I am willing to split 50% the prize. HS.",0,bronze,4,Wed Nov 12 2014 08:51:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10908,/competitions/seizure-prediction,None
/domcastro,Broken Forum Overview page,The forum overview page hasn't been working for a few days. I'm not being impatient but I suddenly thought that maybe Kaggle doesn't know?,9,silver,12,Wed Nov 12 2014 13:05:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10910,None,None
/poojits,Prizes,"Do you think Kaggle should have a partnership with Cloud Compute providers like AWS, DigitalOcean, Azure, Google Compute, etc to give free Credit Coupons to all users with at least one successful submission? Just like HackerRank gives out $100, or $50 Codesprint prizes. This will cover our cloud costs and encourage us to participate more in these competitions. I am new to Kaggle, and I feel this will really help in attracting new users.",6,silver,9,Wed Nov 12 2014 13:25:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10911,None,None
/camilomartinez,Recommender systems framework,"Apart from the framework we are checking during practice sessions there are several others that cover collaborative filtering algorithms but I haven't seen one for content-based. Do you have any recommendations (better if they are in JAVA, R, or Python)?",0,None,1,Wed Nov 12 2014 15:29:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10912,/competitions/AUI-Technology-2014-Competition,3rd
/adamsoffer,Genetic Programming,Is anyone else attempting to classify the signals by means of genetic programming?,0,None,1,Wed Nov 12 2014 15:51:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10913,/competitions/seizure-prediction,464th
/elyase,Beat the benchmark with one line of bash,Just for fun: [Link]:http://yasermartinez.com/blog/posts/beating-the-benchmark-with-one-line-of-bash.html,15,gold,1,Thu Nov 13 2014 04:07:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10915,/competitions/finding-elo,1st
/waqasahmad0,Need Help Regarding MS Thesis Topic,"Hi, I am trying to find thesis topic from past 3 weeks, but i cant find what should i do for my Thesis. I want to to do thesis in one of these fields Machine Learning , Data Mining or Software Dev. I have my Thesis topic presentation on coming Monday but still I don't know what to do.if you have any ideas that i could work on for my thesis please let me know, Thanks in advance.",6,None,11,Thu Nov 13 2014 05:59:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10917,None,None
/jfkingiii,Sequence attribute,"To make sure I'm not doing something wrong, can someone confirm that the sequence attribute (position of the 10 minute clip within the preictal or interictal hour) is not provided in the test files? Preictal signals are much more obvious for, say, segments 5 and 6 than for segments 1 and 2. So if this is the case it looks like models will be able to perform well on a test clip which happens to be segment 6, but will have a much harder time if the clip is segment 1.",0,None,1,Thu Nov 13 2014 14:26:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10920,/competitions/seizure-prediction,120th
/betterplace,logloss go up,"Hello all, i'm nearly a newbie, sorry if my questions sounds naîve. But i think maybe someone have the same question as mine I use the online version of Logistic regression proposed by @Abhishek. But i get my logloss go up! i tried run small learning rate, but i didn't help. And thanks for @ACS69 for noticing me that perhaps i should shuffle the data before running the algo. i have the following questions: 1. how to effecientlly shuffle the data with huge size like this ( unzipped file 8G). I seperate them into small chunk then used 'shuf' command in bash to shuffle each chunk and then combine them. a simpler way? 2. do we indeed need to shuffle the data in the fashion of online learning? (i didn't run test in a shuffled data yet), but as i see in Criteo challenge, the logloss goes down without shuffle and also the data has sequential order like this data. Does this means each time we shuffle the data, we get a different result? 3. for large set like this, how we do we do cross validation and prevent overfitting. ordinary k-fold validation is too costy i think. And leave one observation out at certain position (like %10000==0) is good? Or seprate as train, validation. And more, how to define the number of pass..... All suggestions are grateful. update: original learning rate 0.1, log_loss go up. change to .00001, log_loss go down without permutation",1,bronze,8,Thu Nov 13 2014 15:08:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10921,/competitions/avazu-ctr-prediction,591st
/davidebianchi,Errors in DataSets ?,"I've found some missing data on the movieMeta file. In the train.csv file there are some rates for movies which are not in the movieMeta file. e.g. Movie n° 11 has 10 ratings but there isn't any move with ID 11 in the movieMeta file. Same problem for movies 54, 56 and many others. Should we consider it as missing data or there is an error in the movieMeta.csv?",0,None,6,Thu Nov 13 2014 17:57:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10922,/competitions/AUI-Technology-2014-Competition,3rd
/alessandrobaggio,Top Popular,"Hi all, I was thinking about the top popular algorithm. In our dataset the top popular movie has around 2300 relevant rating and the users are around 4500 (1500 are for testing). So we have a frequency of about 0.5 of relevant rating/users. Now let us suppose that I always predict the top frequent as first item. If I have understood correctly Map@5, I will get, for each user, 0.2 in case there is a match, and 0.0 if the match doesn't exist, plus other ""points"" according to other item which I will not consider to keep calculation simple. Users for testing has been sample randomly. So they should inherit a 0.5 frequency for the top popular. But let's consider a worst case in which the sample is not well stratified and the frequency for top item is 0.25 (half of the real one). But if the frequency is 0.25, we will have at least 0.25*0.2 = 0.05 as final MAP@5 score. So 0.05 is much greater then 0.023 that is the score that Top Popular has in this competion. Have I considered something wrong in my assumption or is there something wrong here? PS: Moreover 0.05 is calculated on a very worst case scenario, and sorry for some English mistake",0,None,6,Thu Nov 13 2014 21:19:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10924,/competitions/AUI-Technology-2014-Competition,3rd
/gungoryilmaz,How possible vector operations on matrices that does not fit memory,"Hi, I am asking this question also in this forum since I didn't get any answer. How is it possible to make calculations on two matrices with total size 6GB and RAM is 4GB? What techniques are used in this case? Is there any open source solution or tool using files during vector operations?",0,None,4,Thu Nov 13 2014 22:08:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10925,None,None
/loophole21,Origins of the data,Is it possible to provide some more information as to the origin of the game data? What years are the games from?Are all the games played under standard time controls? Thanks.,0,None,3,Fri Nov 14 2014 04:32:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10926,/competitions/finding-elo,None
/ggglhf,Beat the benchmark with less than 1MB of memory.,"Notice (11/18/2014): added the third version of the script fast_solution_v3.py Notice (11/20/2014): here is a [Link]:https://www.kaggle.com/c/avazu-ctr-prediction/forums/t/10927/beat-the-benchmark-with-less-than-1mb-of-memory/58352#post58352 on how to get 0.3977417 on the public leaderboard - Dear fellow Kagglers, tin-ert-gu here. - This is a python implementation of [Link]:https://www.kaggle.com/c/criteo-display-ad-challenge/forums/t/10322/beat-the-benchmark-with-less-then-200mb-of-memory. This algorithm is also used by [Link]:http://research.google.com/pubs/pub41159.html. All credits of this script goes to their hard work of research. - How to run? In your terminal, simply type python fast_solution.py The script is also python3 compatible, so you can use python3 as well python3 fast_solution.py However, since the code only depends on native modules, it is highly suggested that you run the script with pypy for a huge speed-up. To use the script with pypy on Ubuntu, first type sudo apt-get install pypy Then use the pypy interpreter to run the script pypy fast_solution.py - Changelog over the [Link]:http://www.kaggle.com/c/criteo-display-ad-challenge/forums/t/10322/beat-the-benchmark-with-less-then-200mb-of-memory of the script Added L1 regularization Added L2 regularization Build in multiple epoch training Build in holdout set validation support Build in support for poly 2 feature interactions Re-factored code for better extendibility EVEN MORE COMMENTS! - Performance Training time for a single epoch, on a single Intel(R) Xeon(R) CPU E5-2630L v2 @ 2.40GHz: PyPy: ~ 10 minutes to 30 minutes (depends heavily on parameter settings) Python2 or Python3: ~ 100 minutes Memory usage: This mainly depends on the D parameter in the script. D = 1 (enough for beating the benchmark): ~ 1MB D = 2^20: ~ 200 MB - The entire algorithm is disclosed, while using only out of the box modules provided by Python, so it should also be an easy sandbox code to build new ideas upon. Good luck and have fun! - @Abhishek: Can't submit right now, so I don't know the leader-board score, but I would say it should easily beat 0.40 - EDIT 1 add fast_solution_v2.py to fix a null reference bug under memory saving mode EDIT 2 add fast_solution_v3.py A great thanks for [Link]:http://www.kaggle.com/users/26782/pawe's feedback, the following changes are made as a result fix a feature interaction indexing bug move all feature interaction code to the same code block (in hope to reduce confusion) reduce memory usage by 30% increase execution speed remove a bunch of unuse code By considering [Link]:http://www.kaggle.com/users/123235/fchollet's [Link]:http://www.kaggle.com/c/avazu-ctr-prediction-paused/forums/t/10927/beat-the-benchmark-with-less-than-1mb-of-memory/58220#post58220 now has build-in training/validation split based on date This should be the last time I modify this benchmark for this competition. Hope the actual data will get release soon, and happy predicting! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/58054/1742/fast_solution.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/58054/1744/fast_solution_v2.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/58054/1753/fast_solution_v3.py",191,gold,188,Fri Nov 14 2014 06:56:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10927,/competitions/avazu-ctr-prediction,71st
/tvinithkumar,Advise needed : rank aggregation,"The problem is : A set of 5 independent users where asked to rate 50 products given to them. All 50 products would have been used by the users in some point of time. Some users have more bias towards certain products. One user did not truly complete the survey and gave random values. It is not necessary for the users to rate all the products. Now given a 4 sample dataset , rank the products based on ratings datset : product #user1 #user2 #user3 #user4 #user5 0 29 - 10 90 12 1 - - - - 7 2 - - 95 6 1 3 - - - - 2 4 - - - - 50 5 - 35 21 13 - 6 - - - - 5 7 4 - - 30 - 8 11 - - - 14 . . . How to come out with a ranking for the products. This is a remodeled problem very close to the original problem. Solution: I tried to clean the data and fill missing values using PCA and apply NMF but i'm not sure about the solution . Any help will be deeply appreciated.",0,None,4,Fri Nov 14 2014 10:16:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10928,None,None
/adjgiulio,While the competition is on hold... A/B testing question,"...I thought I'd take advantage of those of you who work in web analytics and ask a question to those of you who might be involved in the A/B testing side of web analytics. :-) I started reading about A/B testing in web analytics and the concept of stopping a test when significance is achieved came up. Due to my background in stats, I was puzzled with the whole idea of stopping an experiment when significance is observed, because my inclination would be to fix the sample size beforehand and just wait for the experiment to conclude. I also came across [Link]:http://www.evanmiller.org/how-not-to-run-an-ab-test.html, which re-enforced my skepticism towards early stopping. So, how do practitioners deals with this topic, and what are best practices to decide when/how often to peak to the data? Is it a function of time (i.e. every x hours), of the number of observations (i.e. every 1000 new observations). or something different?",0,None,4,Sat Nov 15 2014 02:32:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10930,/competitions/avazu-ctr-prediction,105th
/mquad88,Metrics: MAP@K production implementation,"Hi, I am currently hosting a Kaggle inclass competition and I noticed some strange results with the MAP@K metric. In particular, I have a question about the Production Implementation of the MAP@K metric. By looking at the C# code posted here [Link]:https://www.kaggle.com/wiki/ProductionImplementation I noticed that each time the AP on a row of the submission (the actual variable) is compared with the solution (the expected value), the cumulative sum of the Precisions up to K is then divided by numClicks variable, which is previously assigned to the length of the currentExpected variable (i.e., the number of true relevant items of the current query). Why don't you divide it by numResults variable instead, which corresponds to the min(retrieved documents, k), as explained [Link]:https://www.kaggle.com/wiki/MeanAveragePrecision? Moreover, the other example implementations (MATLAB, Python,..) you provided seem coherent with the explanation provided it the MAP@K page. Thanks Massimo",2,bronze,2,Sat Nov 15 2014 13:48:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10932,None,None
/fernandoconstantino,Google BigQuery,"Hi, Is it against the rules to use Google BigQuery as 'database'? I do not have enough Ram in my computer so I need a remote option, but I am afraid Google BigQuery may not qualify since it's not open source. If it's agains the rules, could you recommend how to proceed with any other remote specific option? Thanks a lot,",0,None,5,Sat Nov 15 2014 15:08:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10933,/competitions/avazu-ctr-prediction,None
/michaelhills,Not long left now,"34 hours to go and I am exhausted. How is everybody else doing? I'm really keen for the post-competition discussion, can't wait. :) The first thing I would really like to know is Medrr's secret for the sudden jump from 0.86 to 0.90!",2,bronze,34,Sun Nov 16 2014 14:17:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10935,/competitions/seizure-prediction,5th
/axeld259058,Data preprocessing,"Hello, I would like to know if there is some known data preprocessing to analyse brain waves (like a specific wavelet basis).600 inputs doesn't appear much, and decomposing in a known wavelet basic in the field could increase the information quantity. The example submissions seem to use either no preprocessing, or an averaging method.",0,None,1,Sun Nov 16 2014 16:39:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10936,/competitions/dreem-challenge,10th
/jiweiliu,Since when do we have 10 entries per day?,"Wow, so crazy. I must miss something. Anyway, Time to Unleash the Full Power of Overfitting!",0,None,3,Sun Nov 16 2014 23:24:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10937,/competitions/seizure-prediction,89th
/parthshrotri,Random Forest Output issue,"Hi Guys, I am trying random forest in python for the first time and am not able to understand how to interpret the result and make the submission file out of it. I cleaned the train and test data as per the tutorials given. My train data has following variables : [u'PassengerId', u'Survived', u'Pclass', u'SibSp', u'Parch', u'Fare', u'Gender', u'Port_of_Entry', u'Age_new'] I converted train data in to an array using train.values ,similarly converted test into array as well. and the train array looks like [[ 1. 0. 3. ..., 1. 2. 22. ][ 2. 1. 1. ..., 0. 1. 38. ][ 3. 1. 3. ..., 0. 2. 26. ]..., [ 889. 0. 3. ..., 0. 2. 21.5][ 890. 1. 1. ..., 1. 1. 26. ][ 891. 0. 3. ..., 1. 0. 32. ]] and am using below code which is given in [Link]:https://www.kaggle.com/c/titanic-gettingStarted/details/getting-started-with-random-forests forest = RandomForestClassifier(n_estimators = 100) forest = forest.fit(train_data[0::,1::],train_data[0::,0]) output = forest.predict(test_data) here the out put am getting is just 417 numbers. like this [ 511. 805. 627. 822. ............401. 445. 710.] print test_data.shape (417L, 8L) print output.shape (417L,) What am I missing here ? Kindly help.",0,None,4,Mon Nov 17 2014 04:09:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10938,/competitions/titanic,None
/sunu3848,test data,"sir, do we only need to submit the csv file containing 3935 predictions for the final.if so how would you use those for predictons for the other 60% of data set. pls reply",0,None,3,Mon Nov 17 2014 05:58:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10939,/competitions/seizure-prediction,41st
/ydhiman,Okay .... I need a Hint !,Trying this from past 4 days and I guess I am lost somewhere in half way. Some one can give me a Hint if I am using matrix factorization method !!! Abhishek :),0,None,9,Mon Nov 17 2014 06:27:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10940,/competitions/predict-movie-ratings,None
/arwaalrubaian0,Annotated test data ,"I'm one of the participants who missed the first submission date; due to misunderstanding the dates. I would like to know if we can be provided with the annotated test data in order to measure the accuracy of our developed approaches; Since we are aiming for an academic publication now? Thanks in advance, Arwa",0,None,2,Mon Nov 17 2014 08:57:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10941,/competitions/seizure-prediction,None
/mathieu1,Biblio,Please post here any paper or book (or anything else) which may help people completing the challenge.,0,None,4,Mon Nov 17 2014 12:23:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10942,/competitions/dreem-challenge,14th
/camilomartinez,Was there any change on the test set?,I was trying a submission and I'm getting an error on the number of rows the file is supossed to contain. Checking carefully it seems the test user ids file changed as now contains 1143 rows when there were 1180 previously. Was there any change on the test set?,1,None,1,Mon Nov 17 2014 23:41:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10943,/competitions/AUI-Technology-2014-Competition,3rd
/skorotkov,Private scores of submissions,Is it possible to see the private scores of submissions? It would be interesting to see if any of lower-scored ones make better on the private leaderboard.,0,None,6,Tue Nov 18 2014 05:12:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10948,/competitions/seizure-prediction,20th
/jamesdlawrence,Bayesian Methods,"Hi all, I am curious to know, is anybody using any Bayesian techniques for this problem? I've tried formulating a Bayesian model for how the score evolves over the course of a game, and it's given me an improvement in score of 1.7 points over what I could get out of gbm. Fortunately, my posterior is very well behaved (snigger.) so I don't have to use MCMC or anything like that. Is anyone trying anything similar? Do you have to break out the big computational guns?",0,None,6,Tue Nov 18 2014 11:18:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10950,/competitions/finding-elo,40th
/herimanitra,gaming laptops for data mining comp,"I plan to buy a gaming laptop with sufficient RAM (32-64gb) to play with kaggle comp then want to know if people here use gaming laptop (alienware, Asus rog, etc.) , what graphics card did the work for gpu computation, etc, Is it really worthwhile to invest in this direction? Thks",1,None,5,Tue Nov 18 2014 13:46:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10951,None,None
/scatterbrain333,How did you approach this competition......the  closing discussion,"Congratulations to the winners . Now that the competition has ended let's start a discussion about the various approaches people used in this competition. This thread is an attempt to keep the discussions focussed on what models people used, what worked and what didn't and also to keep the information from being scattered all over the forum and getting buried in threads with impossible to follow names. People are also welcome to share code so that each one of us can learn something out of it. This was my first competition on Kaggle and it has been a great learning experience. Looking forward to learn from the wisdom of the fellow kagglers.",0,None,1,Tue Nov 18 2014 14:47:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10952,/competitions/seizure-prediction,31st
/christopherboswell,Teacher's Key,"I am helping teach a course in Applied Topology, and would like to use this data set (or something similar) as an example to test ideas in Topological Data Analysis. Now that the competition is over, would it be possible to get the 'key' to score the results as was done for the competition? My hope is that we assign the exact competition, have the instructors determine the resulting score, and let students compare their results to the final leaderboard. What do you think?",6,bronze,7,Tue Nov 18 2014 19:48:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10955,/competitions/seizure-prediction,None
/gregchase,Importing data into R/RStudio,"I'm a novice R user, and have never used a data set as big as this train set. I've attempted to import the train data into RStudio with no success. To the Kagglers- any solutions? Computer Specs MacBook Pro (Early 2011) Intel i7 2.0 GHz 4GB RAM 1TB HDD @ 7200 rpm",0,None,4,Wed Nov 19 2014 00:18:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10958,/competitions/avazu-ctr-prediction,363rd
/pakozm,Top ten code submission,"As stated by challenge website: In addition, any participants finishing in the top 10 are invited to submit source code to the hosts and be included as co-authors on an academic paper reporting the results of the competition. The hosts reserve the right to include other participants at their discretion, should any of the top 10 finalists be unavailable, or if any team shows a particularly innovative approach. We are preparing code with our solution, we just need to know which are the terms for the submission of the code. thanks",0,None,2,Wed Nov 19 2014 00:30:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10959,/competitions/seizure-prediction,4th
/jiweiliu,kaggle is back!,Cheers!,2,bronze,1,Wed Nov 19 2014 04:00:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10960,None,None
/stevewang0,[Annoucement] Competition Resumed!,"Hello, We have just resumed the competition after we have carefully prepared new dataset. Now new dataset and leaderboard is live. Enjoy!",6,silver,1,Wed Nov 19 2014 07:39:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10962,/competitions/avazu-ctr-prediction,None
/julesvanligtenberg,Could you please raise the prize money?,"Could you please raise the total prize money for this competition to 25k or more? I want to enter a challenge but, as a sort of minimum insurance against exploitation, I only read challenge descriptions with prize money of 25k or higher.Now there aren’t any left at Kaggle so that’s why I am asking you if you would be willing to pay a little bit more for this challenge so I can enter it.No hard feelings if you don’t though. Best Regards Jules van Ligtenberg",-16,None,23,Wed Nov 19 2014 09:43:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10963,/competitions/avazu-ctr-prediction,None
/dlsiii,No country field on new dataset?,"It looks like there is no country field on the new dataset (or am I missing something)? As others have mentioned, on the old dataset it was useful to cross country with hour as a proxy for timezone. I'm trying to think up some new timezone proxies, does anyone have any ideas?",0,None,2,Wed Nov 19 2014 12:28:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10964,/competitions/avazu-ctr-prediction,416th
/emolson,free AWS credit,This might be of interest to some of you: https://generalassemb.ly/win/get-digital-perks-pack Sign up to get $50 of free credit for your AWS account.,1,bronze,1,Wed Nov 19 2014 13:18:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10965,None,None
/mendota,Look for team mate,"Hi, I am grad student in NYC. I am looking for teammates to work on this project in R. I can be reached by tinacaotian@gmail.com. Thanks",0,None,1,Wed Nov 19 2014 19:22:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10966,None,None
/amortized,Performance using data prior to prediction date,"Based on the discussion in the ""Rules Topic"" in this forum, apparently a lot of people trained the model using the entire training set violating the assumption that you cannot use future to predict the past. Has any one tried building the model without violating the assumption ? If yes, what do the performance no's look like on the public test set ?",0,None,7,Wed Nov 19 2014 23:51:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10968,/competitions/bike-sharing-demand,375th
/mmyers,Global AUC-ROC scoring again?,The EEG competition that just closed used a global ROC metric so that the normalization of each patients score relative to the others mattered. Is that again the case here? Thanks,5,bronze,1,Thu Nov 20 2014 01:06:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10971,/competitions/inria-bci-challenge,None
/stevendu,The one with only 21 entries removed ? ,Why?,0,None,12,Thu Nov 20 2014 01:16:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10972,/competitions/seizure-prediction,29th
/teeq56478,Looking for recommendations for detecting wildlife in photos,"Hello! My friend's company has a few cameras set up in remote regions of Canada which take motion activated pictures and pictures on a timer. My friend is being paid to look at 500,000 pictures to see if there is wildlife in any of the pictures (marten, goat, bear, caribou, etc). She has done 250,000 so has a tonne of training data. I have a computer science background but little experience in image recognition. I'm hoping somebody here can help with recommendations for low cost but effective software packages or simple approaches which we could use to automate or streamline the job.",0,None,1,Thu Nov 20 2014 03:05:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10975,None,None
/oliverhan,Let us team up! ,"Hi, I am an advertising researcher and want to work in the project in Matlab or Java. Anybody that is interested are more than welcome. Thanks!",0,None,2,Thu Nov 20 2014 03:31:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10976,/competitions/avazu-ctr-prediction,285th
/prashantu,Indian SMS not working,"Hi, I'm facing this issue of not receiving verification code for the first submission. I did disable NDC on my mobile and I still did not receive any code. Anybody facing this issue? Is there a different channel for verification? I'm blocked on this. Thanks,Prashant.",0,None,2,Thu Nov 20 2014 06:19:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10977,/competitions/avazu-ctr-prediction,552nd
/justmarkham,Interactive visualization (and video tutorial) to help you better understand ROC curves and AUC,"Kaggler [Link]:https://www.kaggle.com/users/2959/navan created this simple but excellent [Link]:http://www.navan.name/roc/ that may help you to better understand ROC curves and Area Under the Curve (AUC), which is one of the more common evaluation metrics for classification problems. I used his visualization as the basis for a [Link]:http://youtu.be/OAl6eAyP-yo that explains ROC curves and AUC in some depth. (There is also a [Link]:http://www.dataschool.io/roc-curves-and-auc-explained/ with a transcript and screenshots, in case you prefer that format.) I added these links to the [Link]:https://www.kaggle.com/wiki/AUC for future reference. Having an intuitive understanding of ROC/AUC may help you to perform better on competitions for which AUC is the evaluation metric (it has certainly helped me!) Here's a quick quiz you can take to decide if you have a good understanding already: Is an ROC curve generated from your predictions, or your predicted probabilities? What is the x-axis of an ROC curve, and what is the y-axis? Does an ROC curve require you to choose a classification threshold? Is an ROC curve best suited for binary classification problems, or does it work just as well for multi-class problems? Is AUC or misclassification rate a more useful metric when you have class imbalance? Can you look at an ROC curve and ""see"" the classification thresholds that were used to determine the location of each point on the curve? Does AUC depend upon your predicted probabilities being properly calibrated? (I'm not saying that all of these questions have one ""true"" answer... I'm just saying that if you do have a reasonable answer for all of these questions, you probably won't gain much knowledge from the links above!) If you prefer reading more technical papers, here is an excellent paper called [Link]:http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf that is highly readable and goes into this topic with much more depth. Enjoy! Your feedback is certainly welcome :) Kevin Markham",13,gold,4,Thu Nov 20 2014 06:29:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10978,None,None
/manishkk,Looking for Teammate,"Hello Everyone, I am new in Data Science, from last one month i am active on kaggle. I have knowledge of Machine Learning & Python, Learning R now these days. I am looking for team mate, If some one interested please contact me 1991manish.kumar@gmail.com",2,None,16,Thu Nov 20 2014 06:39:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10979,/competitions/facial-keypoints-detection,None
/manishkk,Looking for Teammate,"Hello Everyone, I am new in Data Science, from last one month i am active on kaggle. I have knowledge of Machine Learning & Python, Learning R now these days. I am looking for team mate, If some one interested please contact me 1991manish.kumar@gmail.com",0,None,5,Thu Nov 20 2014 06:41:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10983,/competitions/bike-sharing-demand,40th
/manishkk,Looking for Teammate,"Hello Everyone, I am new in Data Science, from last one month i am active on kaggle. I have knowledge of Machine Learning & Python, Learning R now these days. I am looking for team mate, If some one interested please contact me 1991manish.kumar@gmail.com",1,bronze,8,Thu Nov 20 2014 06:42:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10984,/competitions/sentiment-analysis-on-movie-reviews,629th
/dremovd,31 October is not just Friday,"As I can understand in new dataset, we need to extrapolate user behaviour from period of non-holidays to a day with one specific holiday. Are organizers understanding clearly the fact that competition result would be far from the best for them? In best case they will get idea how to eliminate ""holiday-non holiday"" part from the model. More probable they will get some robust models with not so good result. Of course there are countries that are not celebrating 'Halloween', but I think that countries are not the aim of this contest. It would be great if I am inderstood something wrong and there are no problems.",9,silver,6,Thu Nov 20 2014 08:01:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10985,/competitions/avazu-ctr-prediction,60th
/mlsmith002,Dealing with the data size,"Hey guys I'm new to dealing with data of this size. When I try to run my code in R it ends and informs me there is insufficient RAM. How do you guys deal with this, besides the obvious of adding more RAM? Is there any technique that could get around this? I've tried breaking the data set into smaller sets and fitting models on each set, but R seems to store the data frames in its memory which takes me back to step 1. Thanks in advance.",0,None,1,Thu Nov 20 2014 09:48:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10986,/competitions/ClaimPredictionChallenge,None
/mlsmith002,Dealing with data size,"Hey guys I'm new to dealing with data of this size. When I try to run my code in R it ends and informs me there is insufficient RAM. How do you guys deal with this, besides the obvious of adding more RAM? Is there any technique that could get around this? I've tried breaking the data set into smaller sets and fitting models on each set, but R seems to store the data frames in its memory which takes me back to step 1. Thanks in advance.",3,bronze,35,Thu Nov 20 2014 10:35:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10987,/competitions/avazu-ctr-prediction,None
/maucle,Welcome to BCI Challenge @ NER 2015,"Dear participants, Welcome to BCI Challenge @ NER 2015: a Brain Computer Interface challenge about detecting Error Potentials. The results of the challenge will be presented at the Neural Engineering Conference in Montpellier, April 2015. The rules of the competition can be found on the kaggle website.We are looking forward to your contributions ! Best wishes, Maureen Clerc, Jérémie Mattout and Manu Maby",3,bronze,5,Thu Nov 20 2014 10:36:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10988,/competitions/inria-bci-challenge,None
/dakick,open and free epilepsy database,I'm a university student and we reseach epilepsy using complex system approach. Can you recommend any open epilepsy database (maybe something like these which we used in this challenge)? Thx a lot!,1,bronze,7,Thu Nov 20 2014 13:29:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10989,/competitions/seizure-prediction,None
/antondreyer,Feature Engineering - breaking the data into subsets,"Hi All, I have spent significant time on re-engineering the features. These are the subsets which I have created: - Working days (days which 'holiday' = 0 and 'workingday' = 1) - Weekends/Holiday days (days which 'holiday' = 1 or 'workingday' = 0) And apply the same logic for casual users... Here is my question: Can I train a model for each subset (for working days and non-working days)? Then using the test set, break the data down into each subset and pass the relevant data through each model to obtain a count. In the attached files are two graphs showing show the registered users have different patterns for either working or non-working days. Many thanks in advance, Anton [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/58521/1755/reg_count_working_days.JPG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/58521/1756/reg_count_holidays_weekend_days.JPG",0,None,1,Thu Nov 20 2014 14:10:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10990,/competitions/bike-sharing-demand,1486th
/tobycheese,"PyCharm 4 is out, with support for iPython notebook, Numpy viewer and more","Please forgive me if this looks like shameless advertising to you. I am a big fan of the PyCharm IDE for python (and in no other way affiliated with the tool or the company behind it), and I wanted to share this [Link]:https://www.jetbrains.com/pycharm/whatsnew/with the Kaggle community. If you haven't used PyCharm yet and use python for development, you might want to give it a try, there is a free community edition and a commercial edition available.",7,silver,9,Thu Nov 20 2014 16:06:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10991,None,None
/brandongodboldt,Beginner's Toolbox,"Alright everyone. I'd like to get started on this. It's not easy and I've got my work cut out for me, but I'm ready to try. I would go to school for this but I'm almost done with my Master's and it's a little late to just start over. What I need from you are a list of resources that every data guru must have: Books Programs Websites Blogs Online classes Any help would be greatly appreciated.",0,None,2,Thu Nov 20 2014 16:53:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10994,None,None
/abhishek,labels and training set,im confused. can anyone tell me how are the trainlabels related to training files?,1,bronze,2,Thu Nov 20 2014 16:54:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10995,/competitions/inria-bci-challenge,212th
/xinyulrsm,view large csv file.,What tools people use to view/edit large csv file? I am using reCsvEditor for the first glance of data file but am wondering if there are alternatives.,0,None,8,Thu Nov 20 2014 19:28:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10997,/competitions/avazu-ctr-prediction,644th
/droussea,Winner announcement,"The Higgs Machine Learning Challenge has completed the 15th September 2014, gathering 1785 teams and 1942 participants. After due verifications, we are pleased to announce the three winners, with the three best scores on the private leaderboard when disclosed. 1 : Gabor Melis : 7000 dollars2 : Tim Salimans : 4000 dollars3 : Pierre Courtiol (nhlx5haze) : 2000 dollars All three have been invited (at the HiggsML organisation expense) to NIPS conference at Montreal, where a special workshop is organised the 13th December 2014, to discuss machine learning techniques applications to high energy physics, and specific developments made for this challenge.https://nips.cc/Conferences/2014/Program/event.php?ID=4292 In addition, documented software was scrutinized, and the special HEP meets ML award is given to : crowwork (Tianqi Chen and Tong Hel) They have developed XGBoost https://github.com/tqchen/xgboost and made it available to other participants early, and it was indeed used by many of them ; while not giving the very best score, it appears to be an excellent compromise between performance and simplicity, which makes it a promising improvements to tools currently used by high energy physicists. The team will be invited at CERN in 2015 for a workshop (being organised) where machine learning techniques application to high energy physics, in particular as they emerged in this challenge, will be discussed further. The organizers would like to make special mention of CSE_TEAM_0 ( Chamila Wijayarathna, Dimuthu Upeksha, Maduranga Siriwardena, Sachith Withana) for the detailed documentation of their optimisation, and Dhiana Deva an enthusiastic undergraduate. On popular request, the simulated data, which has been so far available only during the Challenge on the Kaggle web site, will be available very soon on opendata.cern.ch, so that new ideas can be tried out freely. The full dataset of more than 800.000 entries with weights and labels will be released. We would like to thank again the ATLAS experiment and the CERN organization for providing the simulated data for the Challenge, LAL-Orsay for serving as the official organizer, the Paris-Saclay Center for Data Science, Google, and INRIA for providing financial assistance, and Kaggle for hosting the Challenge. And finally a huge thanks to all the teams for their lively participation! The organizers",7,bronze,3,Thu Nov 20 2014 19:28:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10998,/competitions/higgs-boson,None
/gaule257351,understanding python ,"How does the following lines of code work? women_onboard = data[women_only_stats,1].astype(np.float) men_onboard = data[men_only_stats,1].astype(np.float) Thanks",0,None,2,Thu Nov 20 2014 23:15:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/10999,/competitions/titanic,None
/saurabhsaxena1,Dataset Description,"Hello admin, Could you please elaborate more on the data set. I'm having difficulty understanding various columns. 1. Especially what you mean by anonymized categorical value ? 2. Columns starting with site? Do they refer to the link to which the user would be directed by clicking on the particular add ? 3. Similarly app and device.",1,bronze,5,Fri Nov 21 2014 00:17:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11000,/competitions/avazu-ctr-prediction,None
/drpatrickchan,Submission issues/errors ,"Dear Kaggle Admin, Seems like we are having errors/issues on the submissions. The error message just do not make sense as there is no key value '10000174058809263569' in the test record. I get the following errors on all of my submissions in the last hr. Appreciate if you could help look into the errors below: ERROR: Unable to find 4563178 required key values in the 'id' column ERROR: Unable to find the required key value '10000174058809263569' in the 'id' column ERROR: Unable to find the required key value '10000182526920855428' in the 'id' column ERROR: Unable to find the required key value '10000554139829213984' in the 'id' column ERROR: Unable to find the required key value '10001094637809798845' in the 'id' column ERROR: Unable to find the required key value '10001377041558670745' in the 'id' column ERROR: Unable to find the required key value '10001521204153353724' in the 'id' column ERROR: Unable to find the required key value '10001911056707023378' in the 'id' column ERROR: Unable to find the required key value '10001982898844213216' in the 'id' column ERROR: Unable to find the required key value '10002000217531288531' in the 'id' column. Thanks Patrick",2,bronze,11,Fri Nov 21 2014 02:51:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11001,/competitions/avazu-ctr-prediction,115th
/goosemonkey1234,Will there be another Epilepsy Prediction Challenge?,This looked like an exciting competition will there be another one down the road?,0,None,11,Fri Nov 21 2014 04:03:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11002,/competitions/seizure-prediction,None
/oliverhan,Let us team up!,"Hi, I am a Machine Leaning researcher and want to work in the project in Matlab or Java. Anybody that is interested are more than welcome. Thanks!",0,None,3,Fri Nov 21 2014 04:14:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11003,/competitions/digit-recognizer,None
/ydhiman,Code Share : Predict Movie Rating,Can someone else share code :) .,0,None,7,Fri Nov 21 2014 10:21:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11004,/competitions/predict-movie-ratings,None
/julesvanligtenberg,Where is post from guy who helped Andronicus and  Jonathan?,I read a post from a guy who claimed to have helped both Andronicus1000 and Jonathan (he called him Jon). I think it was in the forum thread 'congratulations to the winners'. He talked about holding the ladder and stuf and also about how Jonathan (Jon) gave a submission to Andronicus which he submitted before he got around to merge with 'Jon'. Does anybody know where this post went?,0,None,7,Fri Nov 21 2014 13:13:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11005,/competitions/seizure-prediction,54th
/marypetik,new Netflix Cup,"First of all, greetings from the Vyatka State University in Russia! We are very pleased with this Contest and its results. Consistency of the results is very important, and here it maybe checked by the correspondence between the preliminary (LB) and final results. (Are there any alternatives??) Data, data and again data - that's what make DM Contest successful. Netflix data were introduced in 2007, and since then it becomes a benchmark and a classic. Regarding a methodology: yes, using a properly modified SGD-algorithm, as described in http://sifter.org/~simon/journal/20061211.htmlyou can approach the mark of 0.854 (level of the Netflix Cup winners in 2009). In order to get better, it will be neccesary to apply something essentially new.We know this methodology, and can use it. Now, it will be important to study it deeper theoretically. Finally, nothing will last forever, and we do believe it is the right time to review the Netflix Cup 2009 results and known methodology.. Why not to arrange a regular Contest, using Netflix-like data?See, for example, Grockit (student-task) data.. Cheers, MP",3,bronze,1,Fri Nov 21 2014 16:05:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11007,/competitions/predict-movie-ratings,1st
/stevendu,Random Forest Benchmark,There is one random forest benchmark in leader board. Will kaggle make this benchmark public available ?,0,None,5,Fri Nov 21 2014 17:24:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11008,/competitions/inria-bci-challenge,214th
/andreobereigner,File Encoding,"Hello all, would someone be able to share how the file has been encoded? I am trying to read the train.txt file into R with trainingData <- read.csv(""train.txt"", header=TRUE,sep=""\t"", skipNul=TRUE) after which the characters ""家人用餐"" end up in ""�[�N(u�"". Many thanks in advance, Andre",0,None,1,Fri Nov 21 2014 18:03:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11010,/competitions/predict-repeat-restaurant-bookings,7th
/austinpizza,Any Idea in semi-supervised method?,"Hi guys, I found that the feature distribution in train and test has a lot of difference. Therefore I'm thinking about using the unlabeled test data to co-train my model. Has anyone tried such methods before ?",0,None,5,Sat Nov 22 2014 01:10:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11012,/competitions/forest-cover-type-prediction,70th
/vinnie,Python - Anaconda,I'm new to using python and i'm having a lot of trouble making progress with the first python tutorial. Do I need to import the csv and numpy file if I've downloaded both the lasted versions of python and the anaconda package? Are there any other tutorials that could help me get up and running with python?,1,None,2,Sat Nov 22 2014 13:03:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11014,/competitions/titanic,None
/iluvex,Question about the ad,"I feel confused about how the admin extract the datasets. Among all the ads appearing in the test dataset, is there anyone never showing in the train dataset ? And I am taking part in the competition for the first time, I hope my question didn't violate the rules.",0,None,2,Sat Nov 22 2014 14:25:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11015,/competitions/avazu-ctr-prediction,1378th
/trufanov,Shuffling lines of big data files,"Hi, To anyone who's interested in shuffled train data I would like to impudently promote my own opensource [Link]:https://github.com/trufanov-nok/shuf-t which is available here under LGPL. It's written in C++ with Qt framework and specially made for files bigger than available RAM size. More technical details could be found in readme file and [Link]:http://www.kaggle.com/c/criteo-display-ad-challenge/forums/t/10429/congratulations-to-the-winners/54598#post54598 discussion. [Link]:https://github.com/trufanov-nok/shuf-t/tree/master/binaries are available for Linux (.deb, x64) and Win x32/x64. I have tried it on avazu's train file preliminary converted to VW format so it become 15.5 Gb (i used long prefixes for categorical values). It was shuffled for ~ 1h 40 min with 1Gb buffer (up to 2Gb total RAM used). And original ~6Gb train csv was shuffled in less than 20 min with following command: [code]$ shuf-t -t 1 train -o train_shuffledrandom seed: 1416668999searching line offsets: ...........offsets found: 404289672 min 2.71 secshuffling line offsets: ..........2.89 secwriting lines to output: ..........15 min 6.34 sec[/code] The command line format is taken from GNU Shuf util. It's still a beta so feedback is highly appreciated.",12,silver,13,Sat Nov 22 2014 17:26:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11018,/competitions/avazu-ctr-prediction,29th
/konradb,Validation vs LB,"Curious how are people approaching the issue: i started with keeping the last day as holdout - difference between local score and lb is ~ 0.006 (biggish, given the saturation). K",4,bronze,43,Sat Nov 22 2014 20:36:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11019,/competitions/avazu-ctr-prediction,21st
/kiwikly,Constant click-rate in data,"This is my first competition and I'm seeing a very big difference between my trained model (0.38) and my submission (0.5); I'm training on 20% of the data and when I test against unseen data I get 0.38 howsoever I chop up the remaining 80% of the data. The only way I can rationalise this is to assume that the test data has something quite different about it compared to the training data and so I'm investigating what is different. What I think I have discovered is that for every combination of site_id and device_id that exists in the test data that the average click rate in the training data is constant by site_id. For example: > setwd(""~/Downloads/Project"")> load(file=""df_raw"")> load(file=""tf_raw"")> > temp<-tapply(df$click,df$site_id,mean)> df$q_site_id<-as.numeric(temp[df$site_id])> quantile(df$q_site_id) 0% 25% 50% 75% 100% 0.0000000 0.1188264 0.1188264 0.2056326 1.0000000 > > o<-unique(tf$site_id)> df$temp <- o[df$site_id]> df<-df[!is.na(df$temp),]> > temp<-tapply(df$click,df$site_id,mean)> df$q_site_id<-as.numeric(temp[df$site_id])> quantile(df$q_site_id) 0% 25% 50% 75% 100% 0.0000000 0.1188264 0.1188264 0.2056326 1.0000000 > > o<-unique(tf$app_id)> df$temp <- o[df$app_id]> df<-df[!is.na(df$temp),]> > temp<-tapply(df$click,df$site_id,mean)> df$q_site_id<-as.numeric(temp[df$site_id])> quantile(df$q_site_id) 0% 25% 50% 75% 100% 0.1166539 0.1166539 0.1166539 0.1166539 0.1166539 And, I'm thinking that this is pretty surprising.",4,bronze,2,Sat Nov 22 2014 21:33:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11020,/competitions/avazu-ctr-prediction,1321st
/wenwang1,strsplit function not working,"Hi, I am not sure why the line of code: as.integer(unlist(strsplit(im.train[1], "" ""))) is not working on R studio. It shows the error of Error in strsplit(im.train[1], "" "") : non-character argument. But the line of code before this, which is: im.train[1], already shows the output with [1] 238 236 237 238 240 240 239 241 241 243 240 … So does it mean the output of my data is already integers rather than strings even though I didn't run as.integer(unlist(strsplit(im.train[1], "" ""))) ? Thanks in advance!",0,None,2,Sat Nov 22 2014 22:35:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11021,/competitions/facial-keypoints-detection,None
/evanvanness,A simple neural network model for Bike Sharing,"Howdy y'all, Since Brandon Harris's model was well received, I thought I'd share a simple neural network in R that gets you into the top third, or at least got you into the top third when I published it on my blog a few weeks ago. http://www.evanvanness.com/post/100217670076/neuralnet-r-package-neural-network-to-predict-kaggle",4,bronze,23,Sun Nov 23 2014 02:14:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11022,/competitions/bike-sharing-demand,841st
/reza19,Using data for scientific publication?,Is it possible to use these data for scientific research? I hope so. Thanks for response!,8,bronze,1,Sun Nov 23 2014 09:22:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11025,/competitions/avazu-ctr-prediction,None
/bertrandr0,Number of submission,"Did I miss something or... ? I use test_rev2.csv, read the file and apply to each row my model. I then write a file with id,click. I submit, and have an error : 4 577 464 predictions expected. That's true, my file has 4 769 401 rows. As the test file. I've just counted the sampleSubmission file... 4 4769 402 row... Well, I'm stuck. Any Idea on how I could make a submission ??? Thank u",0,None,4,Sun Nov 23 2014 17:22:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11026,/competitions/avazu-ctr-prediction,634th
/claesenm,"Regarding the ""Open Source"" clause","The rules state the following: A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license: * other than an Open Source Initiative-approved license (see <http://opensource.org/>); or* an open source license that prohibits commercial use. * using Matlab or any closed source software (except BLAS) will not be qualified. My question: does using GPL and/or LGPL licensed software result in ineligibility? These licenses are obviously recognized by the OSI. If so, then a quite strange definition of ""open source"" is being put forward in this competition. In fact, this would rule out the vast majority of machine learning libraries. It would rule out the R language entirely, since it's GPL licensed ( [Link]:http://www.r-project.org/Licenses/). Since some of the code examples given in this competition are in R, I assume using it is fine? (and consequently, using any GPL/LGPL software would be permitted)",0,None,8,Sun Nov 23 2014 20:22:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11027,/competitions/avazu-ctr-prediction,None
/arunningpudge,My code; please provide improvements,"I've decided to upload my code for Kaggle's Titanic: Machine Learning from Disaster knowledge competition after getting around to cleaning it a bit a year later. As of 23 November 2014, I was able to realize 0.81818 AUC (top 3%) on the public leaderboard (search ""a running pudge"") for whatever it's worth. Running the code ""as-is"" will get you about 0.79 AUC - I've gimped the parameters to preserve the spirit of the competition. Tuning the parameters, such as the grid search, and aiming for a parsimonious model will drastically help improve your score. Honestly, I've never been able to score higher than 0.81818 since attempting this a year ago, and I'm hoping to improve it whether it's understanding preprocessing, better imputation methods or feature engineering. https://github.com/tyokota/proj_kaggle_titanic.",2,bronze,2,Mon Nov 24 2014 04:23:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11029,/competitions/titanic,None
/lalitapatel,Random Forest and Leo Breiman,"I am grateful to Kaggle and Coursera for introducing me to the Random Forest algorithm. Stunned by the elegance and value of this algorithm, I have posted the following comment at http://www.berkeley.edu/misc/newscenter-feedback.shtml ""A few months back when I came to know about the Random Forest algorithm, I had uttered that the developer of this algorithm deserves a Nobel Prize. I am sad to find that the WikiPedia article on Leo Breiman at http://en.wikipedia.org/wiki/Leo_Breiman is still incomplete and has to state: 'This article includes a list of references, related reading or external links, but its sources remain unclear because it lacks inline citations. Please improve this article by introducing more precise citations. (February 2013).' I request you to elaborate and complete the WikiPedia article on Breiman. If you cannot do it, please allow me to do so by using the information from your excellent article at http://www.berkeley.edu/news/media/releases/2005/07/07_breiman.shtml . Since I am new to the subjects contributed to by Breiman and since I have no personal knowledge about him, my preference will be to have someone else do this noble task. Thanks, Lalit A Patel""",2,bronze,1,Mon Nov 24 2014 04:24:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11030,None,None
/zhfthu,It's slow to download the datasets from China.,"Hello, I come from China to join this competition, and it's so slow to download all the datasets, so i think whether you can upload the datasets to some websites like pan.baidu.com ,so we guys from China can download more easily and it can reduce your traffic cost too. Thanks .",1,bronze,2,Mon Nov 24 2014 13:12:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11031,/competitions/avazu-ctr-prediction,None
/elenacuoco,Data snooping,"Hi All, I started this competition with a naive attitude: I have a set of data, with some recorded features and I want to find a good model for classification, trying to extract the information by the data, only using the model and the data pre-processing. I obtained good LB results with very simple model, trying only to impute the missing data (as the age) from the age values, and adjusting the RF parameters and the CV ones. Then I saw that other people got a much better result, and I started looking into the forum trying to understand if they used a different classifier. I found many and many posts in which the features have been composed or examined so deeply, that it seems similar to have looked at the data 'one by one'. I tried to reproduce better results, without success, until now, but I wonderif it is correct to look at the data so deeply. Is it this way of analyzing data what it is called ""data snooping""? Is it correct for a data analyst to try to have the better classifier but so tuned on the specific set of data? Is it mine only a stupid question? Thanks for your answer",1,None,1,Mon Nov 24 2014 14:47:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11032,/competitions/titanic,None
/adjgiulio,Is there still substantial room for improvement?,"Ok, I admit, I haven't looked into this data thoroughly yet, but I have already tried throwing at it a couple of ""classics"" and some more ""Kaggle tricks"". A quick and dirty ensemble between XBG (LB .40) and a linear model (.396) gives pretty much no improvement, which, for me, is really surprising. Thinking about [Link]:http://www.kaggle.com/c/avazu-ctr-prediction/forums/t/11016/0-39-more-to-the-dataset-than-meets-the-eye/58680#post58680, and her smart insights on variable selection, the most likely way to explain what I'm seeing is that, as she said, there are really only a handful of features that matter, and both a linear an tree-based models are picking those relationships up and modelling them similarly. Too similarly... Every competition I participated in has a couple of glass ceilings participants eventually end up shattering. I wonder if this might be a Kaggle first, where we reached a plateau so soon in the competition (well, not THAT soon, considering all the false starts...).",6,silver,36,Mon Nov 24 2014 16:52:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11033,/competitions/avazu-ctr-prediction,105th
/joycenv,On the first day of Kaggle ...,my Admin sent to me: A Metric in a Git Tree Python code for the evaluation metric and the sample submission can be found [Link]:https://github.com/noahvanhoucke/HelpingSantasHelpers.,12,gold,9,Mon Nov 24 2014 21:10:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11034,/competitions/helping-santas-helpers,None
/oliverbastert,Welcome!,"Dear participants, Welcome to this year's winter optimization challenge “Helping Santa's Helpers” sponsored by FICO. We wish you the best of luck for finding the winning solution to this challenge. Please check out the pages on [Link]:https://community.fico.com/community/products-%26-solutions-support/xpressdiscuss for the Xpress prize. We are looking forward to your contributions! Best wishes,Oliver Bastert, FICO",2,bronze,5,Mon Nov 24 2014 22:02:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11035,/competitions/helping-santas-helpers,None
/emolson,Publication,"I'm trying to understand the publication aspect of this contest. In the description it says: ""This BCI Challenge is being proposed as part of the IEEE Neural Engineering Conference (NER2015). Participation is open without restriction, and the winners will be selected among participants who have submitted an abstract to the conference"" This is troubling, as the deadline for 4 page abstracts is today, and the January deadline for 1 page abstracts is still quite a long time before the end of the competition. However, on the NER2015 website, it states that: ""A BCI challenge will be open mid-November. The 3 best competitors will receive a prize and the winner will be invited to publish a full paper in IEEE TBME."" This seems like quite a different thing. Can Kaggle or the organizer please clarify?",3,bronze,8,Mon Nov 24 2014 22:52:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11036,/competitions/inria-bci-challenge,59th
/joseleiva,Use of the EOG channel,"Dear competitors, We have data from 56 EEG channels, and an additional ElectroOculoGram channel, with information about the noise introduced by blinking. Does anybody know of an efficient method to make use of this information for artifact removal? Thanks in advance,",1,bronze,4,Mon Nov 24 2014 23:44:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11037,/competitions/inria-bci-challenge,5th
/jamesdlawrence,Fewest elves to hit the optimum time?,"Since a solution is already posted which hits the optimum time (see separate forum thread), I will start a meta-competition here (no prizes I'm afraid, other than respect!) What is the smallest number of elves you can use and still hit the optimum time of +503477.5 minutes? (an elf is considered ""used"" if he ever manufactures a present, in case it wasn't clear.) The benchmark, and I imagine all of the posted solutions to date, use all 1325 elves. Let's see how low we can go! (Of course, the leaderboard doesn't display how many elves are used. You'll be on your honour here)",2,bronze,9,Tue Nov 25 2014 14:49:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11046,/competitions/helping-santas-helpers,None
/luyitian,Could this data be used in a final assignment in Coursera?,"@maucle There is a course ""Exploring Neural Data"" in Couesera that closely related to this competition and I joined this course. It has a final assignment which requires students to select a dataset, ask a question and try to solve it. Could I use the dataset in this competition? I won't share code or data anywhere outside Kaggle. Here is the detail of the final assignment: https://class.coursera.org/neuraldata-001",0,None,1,Tue Nov 25 2014 15:08:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11047,/competitions/inria-bci-challenge,69th
/stevendu,Where is that eval metric and simple solver - code ?,"Hi, all In the data downloading page , it listed: eval metric code - codesimple solver - code Anyone know where can I found these two files?",0,None,1,Tue Nov 25 2014 17:39:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11048,/competitions/helping-santas-helpers,None
/xiaozhouwang,Did this happen last year?,"Although I believe people here can smash problems pretty well, I think this optimization problem is too easy for a challenge. It is easy to predict the exact lower bound, and I guess (have no motivation to try now...) a greedy algothm can reach it.... Is Santa always this generous? I hope there will be other Santa gifts left for people who are just late.And this time, I prefer a machine learning challenge :)))))",0,None,2,Tue Nov 25 2014 18:38:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11050,/competitions/helping-santas-helpers,None
/yansoftware,private dataset?,I would prefer this is not the end of the competition. Even though it is for the public dataset. The private dataset could still be a little different and cannot reach the lower bound so easily?,0,None,4,Tue Nov 25 2014 20:11:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11053,/competitions/helping-santas-helpers,None
/magellanea,The supplied evaluation script and submission evaluation,"I'd like to know if the same script supplied for evaluation, namely SantasHelpers_Evaluation_Metric.py, is the one used for submission and ranking or not, when I run the code locally on my submission it runs perfectly without reporting any errors, when I upload that submission file I still get errors about wrong answers and uncompleted toys?",1,bronze,8,Tue Nov 25 2014 23:36:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11054,/competitions/helping-santas-helpers,244th
/wcukierski,On the second day of Kaggle...,"Our users gave to us, the answers without any fuss :-/ Hey folks! We want to have a fun and competitive holiday optimization competition, and are working on parameters that get us there. Fear not, we will put Santa in touch with Kamil to do right by him. In the meantime, we would like to make some changes to the problem parameters, but keep as much of the problem the same. Our current plan looks something like: Increased number of presents (more work) Decreased number of elves (likely below the theoretical lower limit discussed in the forums) Greatly increased time window (let the work pile up to allow for more creative scheduling) Harsher elf working conditions (lessen the productivity increase, increase the penalty for working off hours) You've done a collectively amazing job so far, so we wanted to run the plan by you for feedback. Assuming we get away from the theoretical lower limit of the ""last big present"" with the above parameters, do you see any potential pitfalls with the above changes? Update 11/26 10AM EST - We are still running tests under new parameters and will have to update some code and communicate the changes to FICO. We will try to get this going ASAP (ideally today), but please be patient with us if Thanksgiving gets in the way.",14,gold,26,Wed Nov 26 2014 00:37:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11055,/competitions/helping-santas-helpers,None
/devinanzelmo,Beating the Benchmark with GBM,"NOTE: The original version of this benchmark included subject number as a feature. This miss-calibrated subjects probability scores resulting in a .47 AUC on the private leader board. An updated version removing the subject column results in .6 AUC on the private leaderboard. I apologize to anyone who heavily modified this code and had decreased score due to the subject feature. See this [Link]:https://www.kaggle.com/c/inria-bci-challenge/forums/t/12603/inter-subject-auc/64843#post64843 by for discussion of inter-subject AUC. Original post below Here is a simple benchmark using sklearn and pandas. It uses the Cz channel for the 1.3 seconds after feedback for each example as training. Uses sklearn gradient boosting classifier with 500 estimators. It should take about 10 to 15 minutes to run. There is no cleaning or processing of the data, and it only uses 1 channel so there is plenty of room to expand. Leaderboard score ~.72 Its also slow in some places so if you want to extract all of the data after feedbacks you should probably modify the code to use a more efficient extraction method. I used method of creating submission file from Abhishek's code as I never dealt with AUC before. Edit: Probably better to set max_features to default which is sqrt(n_features) or just delete that part, the current value was left in by accident, and probably is not great. EDIT: version two should not have numexpr dependency for pandas query EDIT: Version three post competition. Fixes problem that caused low inter-subject AUC. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/58964/1763/gbm_benchmark.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/58964/1764/gbm_benchmark_v2.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/58964/2010/gbm_benchmark_v3_post_competition.py",18,gold,41,Wed Nov 26 2014 01:28:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11056,/competitions/inria-bci-challenge,2nd
/clustifier,David Thaler is also the winner,"David Thaler's observation that 503478 is actually an optimal score is amazing!!! For me, it looks even more amazing than the, amazing in itself, winning in less than a day.",1,bronze,3,Wed Nov 26 2014 02:45:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11057,/competitions/helping-santas-helpers,127th
/rajitdg,SlideRule's Data Science School,"A few months ago, [Link]:http://www.mysliderule.com/ released a [Link]:http://www.mysliderule.com/learning-paths/data-analysis/ - an intensive curriculum of online resources curated by an industry expert. Over 6000 people have signed up to date. They're now going one step further with [Link]:https://www.mysliderule.com/workshops/data-science - a self-paced, online workshop with 1-on-1 access to some of the best mentors in Silicon Valley to review your projects. Thought I'd share it here. Spots are limited, so sign up soon!",4,bronze,1,Wed Nov 26 2014 08:04:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11058,None,None
/mlsmith002,SVMs,"Good morning I'm looking for some advice on how to speed up the learning of SVMs. I am currently using the ksvm algorithm in R from the kernlab package, but it seems to take forever on a small data set (400000 entries). Any suggestion on how to avoid this problem? Thanks in advance",0,None,6,Wed Nov 26 2014 09:20:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11059,None,None
/michaelhills,My code,"https://github.com/MichaelHills/seizure-prediction I'm still doing some final testing to make sure everything works OK, but it's more or less there. It may be lacking in documentation in some places but I'll be more than happy to answer any questions.",11,silver,1,Wed Nov 26 2014 10:30:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11060,/competitions/seizure-prediction,5th
/dluzansky,Scoring models in R,"I am working on this competition in R and wanted to find a way to score my models on a subset of the training data. I know there is a package ""AUC"", but for some reason it doesn't seem to work. I also tried the ""accuracy"" function from the ""forecast"" package and that doesn't seem to work either. Have other folks found a way to score their models on a self-created validation set prior to submitting?",0,None,1,Wed Nov 26 2014 16:02:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11061,/competitions/random-acts-of-pizza,27th
/simengy82,Shall we take a break during Thanksgiving weekends?,"Party is roaring and turkey is waiting! I will go outdoor to stay with my friends in the cabin for three days, and probably will be ""easy"" on Kaggle. :D Happy Thanksgiving to you all!",3,bronze,9,Wed Nov 26 2014 19:54:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11062,/competitions/avazu-ctr-prediction,129th
/konradb,NULL values in datasets - new versions,"Hello, With the second version of the dataset, information on NULL values was made available by the admin (https://www.kaggle.com/c/avazu-ctr-prediction/forums/t/10852/null-values-in-datasets/57464). Can such confirmation be issued now as well, or is keeping it secret part of the updated challenge idea (kinda like the geo information)? thanks, K",0,None,2,Wed Nov 26 2014 21:14:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11063,/competitions/avazu-ctr-prediction,21st
/yuraust,ECO and other external data,I just found out that ECO codes (http://en.wikipedia.org/wiki/Encyclopaedia_of_Chess_Openings) are useful for the model training. In particular one can use popularity of ECO code and compute average elo of players given the code. What other external information (besides provided stockfish scores) do you use?,2,bronze,11,Wed Nov 26 2014 21:57:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11064,/competitions/finding-elo,6th
/siddjain,Where is the data for this competition?,"Sorry for asking stupid question, but I cannot find data for this competition - i do not see any ""Get the data"" link on the competition page. I am entered into another kaggle competition. Does kaggle only allow a user to participate in one competition at a time? If so, how can i leave the other competition and enter this one?",1,bronze,2,Wed Nov 26 2014 23:07:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11065,/competitions/helping-santas-helpers,None
/joycenv,On the third day of Kaggle ...,"my Admin sent to me:Three Constraint ChangesToo Few Elves and a Metric in a Git Tree Hi everyone! Thanks for your patience as we reworked the problem. It's tough to strike the right balance between just hard enough and still fun, and we regret that our first attempt was quite a bit off the mark. Your suggestions have been a great help, and while we could not incorporate some of the more complicated fixes, we have made some changes that should have you crunching some toys. The documentation and sample code have been updated to reflect the changes. The changes we've made are 900 elves, not 1325 elves 4 million toys, not 2 million objective function now includes a multiplier related to the number of elves needed No work starting constraint, thus work can start any time after the toy order arrives. Previously, we required work to start within 25 days Elf productivity increase is now at 2% every unit hour, not 2.75% Elf productivity decrease is now 10% every unit hour, not 5% Elf productivity min and max are now 0.25 and 4.0, respectively, not 0.5 and 2.0 We'll keep an eye on things to see if this does the trick, however, if it does not, we'll do our best to resolve the problem.",6,silver,10,Thu Nov 27 2014 00:35:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11066,/competitions/helping-santas-helpers,None
/slobo777,Work time and schedule rounding,"I just want to check whether I have this correct: * Elves are always scheduled to an exact minute, and work for an integer amount of minutes. * Elves may lose productivity based on a non-integer number of minutes (update: I had this wrong, see below) Example: * An elf with productivity rating 1.02 starts work at 18:45 on a 30-minute present. * The adjusted work time is 30/1.02 = 29.41 minutes (update: I had this wrong, see below) * The schedule entry should start at 18:45 and is for 30 minutes (*not* 29.41 minutes) * The elf is next available for work at 09:15 the next day (*not* at 09:14.41 or 09:14:25) * The elf's new productivity is 1.02 * 1.02 ^ (15/60) * 0.9 ^ (14.41/60) - the last part is *not* 0.9 ^ (15/60) (update: I had this wrong, see below) Is that all correct?",1,bronze,12,Thu Nov 27 2014 13:18:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11068,/competitions/helping-santas-helpers,23rd
/nearffxx,Tutorial 1-MATLAB,"I want to share some code with everyone since the forum is empty. In this tutorial i will try to make a summary of what we have done at lesson and plus some extra code, so you can upload the output file directly to kaggle. Step 1: Follow the tutorial in this link [Link]:http://www.software.polimi.it/software-download/studenti/matlab/installazione-e-attivazione/ and install matlab. Step 2: Download the code made by Massimo Quadrana [Link]:http://recsys.paolocremonesi.org/announcements/challengepractice/competition_guideline.zip Step 3: After you unpacked the zip file, put the create_out_file attached bellow. And the root directory should look like this Step 4: Double click on create_out_file and it will open matlab. Then right click on create_out_file in matlab. Step 5: So, not the output.csv should appear on the right windows of matlab. Go to kaggle and select the file to upload. Step 6: Result Step 7: So if you want to make a better score you should change the scorer. Hope you like it :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59093/1766/create_out_file.m",1,bronze,I want to share some code with everyone since the forum is empty.,Thu Nov 27 2014 13:53:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11069,/competitions/aui-technology-2014-competition-new,None
/olddocks,Unable to submit ,"i have made the output in csv file but i see errors in submitting. What is wrong with this? ERROR: Column 'ImageId' was not expected (Line 1, Column 7) ERROR: Column 'FeatureName' was not expected (Line 1, Column 15). My output file looks like this.. RowId,ImageId,FeatureName,Location1,1,left_eye_center_x2,1,left_eye_center_y3,1,right_eye_center_x4,1,right_eye_center_y......27121,1783,nose_tip_x,48.7327122,1783,nose_tip_y,63.627123,1783,mouth_center_bottom_lip_x,48.9227124,1783,mouth_center_bottom_lip_y,79.1",0,None,3,Thu Nov 27 2014 14:26:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11070,/competitions/facial-keypoints-detection,None
/davidjames,Only 3 submissions per day?,"Hi, just wondering if the submission limit per day can be increased? Cheers",2,bronze,5,Thu Nov 27 2014 19:29:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11072,/competitions/inria-bci-challenge,260th
/berntsen,ff -package,Hello. Im new to analyzing so big files of data and have been searching around the web and the forums here for a solution to my RAM - problems. I figured out that the ff-package was the way to go. This seemed fine until I was going to take a look at my new and exciting ffdf file.... and then figured out it was only one column ... Is it supposed to do this? Or does anyone have a solution for me ?ThanksMagnus ....it just occured to me that there is such a thing as seperators... which I guess will solve the problem.,1,bronze,6,Thu Nov 27 2014 20:47:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11073,/competitions/avazu-ctr-prediction,None
/nthanhtam,Beat the benchmark,I just calculated the finish time and sort the toys based on it. Then I used the solution_firstAvailableElf function to generate the submission. LB score: 36713741.8146 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59125/1767/SantasHelpers_NaiveSolution.py,4,bronze,8,Fri Nov 28 2014 01:50:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11074,/competitions/helping-santas-helpers,197th
/ushnishbasu,Feature range from test data,"Are we allowed to extract the range of feature values from the test data, as long as we do not use the test data feature vectors directly in training the model? For example, suppose we have device IPs A,B,C in the training data, and device IPs A,B,C,D in the test data, can we use knowledge of the whole set A,B,C,D for the range of device IPs?",1,bronze,6,Fri Nov 28 2014 06:10:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11075,/competitions/avazu-ctr-prediction,757th
/ivanlobov,Speed - order of magnitude improvement?,"Hi everyone! I've been making lots of tests and submissions for this competitions (which is really fun by the way). But the further I go, the more time it takes to run an experiment. My last attempts took 6 hours on my PC. And it's too much for many reasons. How I deal with the speed: - Simple Python code (refactor what I can to make it simpler) - PyPy 2.7 (PyPy3 is 2 times worse) - SSD memory I see the following opportunities to increase the speed: - Process data in mini-batches to get use of multiple cores - Redo the code to work with Anaconda + MKL + Numba ( [Link]:https://www.kaggle.com/c/avazu-ctr-prediction/forums/t/10927/beat-the-benchmark-with-less-than-1mb-of-memory/59144#post59144) - Get use of Cython - Redo the code in C++ (sic!) But these options are not very viable to me, since the first two, I believe, will give but a marginal improvement, the latter two are too much heavy-lifting since I know no C/C++. What works for you? How do you get a good speed? What are the options to get an order of magnitude improvement, but still work with reasonably regular Python? P.S. Or C/C++ is not that hard to learn for simple mathematical computations?",0,None,4,Fri Nov 28 2014 11:17:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11077,/competitions/avazu-ctr-prediction,18th
/titericz,Working Conditions,"The description tells that working time is from 9:00 to 19:00 (10 hours), but from [9:00,19:00] it's 10 hours and 1 minute. Is it correct?Or working time is from 9:00 to 18:59 (10hours 0 minutes)?",0,None,1,Fri Nov 28 2014 12:28:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11078,/competitions/helping-santas-helpers,84th
/avinashrai,Startup Hint,can anyone tell me where to start after the code. I mean i am a newbie and don't know where the door is. I tried but my scores are only increasing. changing the order of toys or elfs is not working. what parameters to be optimized?,3,bronze,22,Fri Nov 28 2014 17:05:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11080,/competitions/helping-santas-helpers,None
/zhaosanqiang,Why GBM is better than RandomForest?,"I try two algorithm, actually GBM is 5% better than RandomForest, without any feature engineer and same kinda of parameters. I am not sure why it is since both of them are ensemble algorithm, that supposed to be a little difference.",-1,None,10,Fri Nov 28 2014 23:01:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11082,/competitions/forest-cover-type-prediction,212th
/taffeylewis,possible bug in eval code?,"I'm porting the Python code to R as a way of deconstructing it and learning differences between the two languages (yeah, I know R will be slow, but that's not the point). In the process, I may have found a bug in the way sanctioned/unsanctioned time is accounted for. The function in question is get_sanctioned_breakdown, which does not appear to give correct values as-is (i.e. unchanged from the git). def get_sanctioned_breakdown(self, start_minute, duration): """""" Whole days (24-hr time periods) contribute fixed quantities of sanctioned and unsanctioned time. After accounting for the whole days in the duration, the remainder minutes are tabulated as un/sanctioned. :param start_minute: :param duration: :return: """""" full_days = duration / (self.minutes_in_24h) sanctioned = full_days * self.hours_per_day * 60 unsanctioned = full_days * (24 - self.hours_per_day) * 60 remainder_start = start_minute + full_days * self.minutes_in_24h for minute in xrange(remainder_start, start_minute+duration): if self.is_sanctioned_time(minute): sanctioned += 1 else: unsanctioned += 1 return sanctioned, unsanctioned It seems to be missing a couple of lines, specifically (as pseudo code): If full_days >= 1 Account for full days, then add remainders else account for remainders only As it is, when I run this giving a start time of 540 (the official starting time for jan 1 at 9 am) and a work duration of 5 minutes, it gives the result sanctioned = 5.166667 and unsanctioned = 5.833333, when it should give me sanctioned = 5 and unsanctioned = 0. It is possible that I am mis-reading the code, but this doesn't seem likely. Can anyone else confirm? This can have direct impact on the evaluation if true. (edit, missed some detail)",1,bronze,5,Sat Nov 29 2014 00:38:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11083,/competitions/helping-santas-helpers,73rd
/oliverhan,How to solve the problem of Not Converging. ,"With a nnet.globalLearningRate = 0.1; nnet.lambda = 0.3; for regularization. andnnet.minibatch = 100; nnet.activation_func = 'logsig'; nnet.output_func = 'logsig'; As Prof. Hinton said, if not converging try a smaller learning rate, now it is lower to 0.1 but still acts like below: valiPrecCost = 0.9075 25.8022 trainPrecCost = 0.9072 25.7821 valiPrecCost = 0.9127 26.0806 trainPrecCost = 0.9131 26.0624 valiPrecCost = 0.9140 26.1077 trainPrecCost = 0.9149 26.1016 valiPrecCost = 0.9143 26.1081 trainPrecCost = 0.9171 26.1042 valiPrecCost = 0.9147 26.1459 trainPrecCost = 0.9178 26.1450 valiPrecCost = 0.9160 26.1608 trainPrecCost = 0.9188 26.1520 valiPrecCost = 0.9147 26.1657 trainPrecCost = 0.9192 26.1596 valiPrecCost = 0.9170 26.1388 trainPrecCost = 0.9194 26.1408 valiPrecCost = 0.9187 26.1361 trainPrecCost = 0.9200 26.1369 valiPrecCost = 0.9193 26.1374 trainPrecCost = 0.9202 26.1311 valiPrecCost = 0.9190 26.1104 trainPrecCost = 0.9203 26.1097 valiPrecCost = 0.9197 26.1183 trainPrecCost = 0.9202 26.1230 valiPrecCost = 0.9203 26.0758 trainPrecCost = 0.9202 26.0786 valiPrecCost = 0.9205 26.0841 trainPrecCost = 0.9199 26.0858 valiPrecCost = 0.9207 26.0739 trainPrecCost = 0.9205 26.0719 valiPrecCost = 0.9207 26.0782 trainPrecCost = 0.9205 26.0770 valiPrecCost = 0.9197 26.0925 trainPrecCost = 0.9205 26.0884 valiPrecCost = 0.9203 26.0777 trainPrecCost = 0.9209 26.0734 valiPrecCost = 0.9193 26.0950 trainPrecCost = 0.9206 26.0919 valiPrecCost = 0.9185 26.1193 trainPrecCost = 0.9207 26.1114 valiPrecCost = 0.9187 26.1420 trainPrecCost = 0.9208 26.1290 valiPrecCost = 0.9177 26.1493 trainPrecCost = 0.9208 26.1392 valiPrecCost = 0.9183 26.1842 trainPrecCost = 0.9209 26.1722 valiPrecCost = 0.9170 26.2001 trainPrecCost = 0.9207 26.1831 valiPrecCost = 0.9170 26.2283 trainPrecCost = 0.9208 26.2106 valiPrecCost = 0.9177 26.2337 trainPrecCost = 0.9203 26.2221 valiPrecCost = 0.9175 26.2562 trainPrecCost = 0.9206 26.2380 valiPrecCost = 0.9180 26.2590 trainPrecCost = 0.9206 26.2489 valiPrecCost = 0.9170 26.2762 trainPrecCost = 0.9203 26.2619 valiPrecCost = 0.9177 26.2748 trainPrecCost = 0.9205 26.2581 valiPrecCost = 0.9175 26.2847 trainPrecCost = 0.9205 26.2726 valiPrecCost = 0.9177 26.2762 trainPrecCost = 0.9204 26.2618 valiPrecCost = 0.9175 26.2939 trainPrecCost = 0.9207 26.2818 valiPrecCost = 0.9177 26.2860 trainPrecCost = 0.9204 26.2699 valiPrecCost = 0.9185 26.3003 trainPrecCost = 0.9206 26.2815 valiPrecCost = 0.9173 26.2813 trainPrecCost = 0.9204 26.2679 valiPrecCost = 0.9180 26.3134 trainPrecCost = 0.9206 26.2955 valiPrecCost = 0.9173 26.2952 trainPrecCost = 0.9208 26.2771 valiPrecCost = 0.9183 26.2912 trainPrecCost = 0.9208 26.2759 valiPrecCost = 0.9177 26.3049 trainPrecCost = 0.9207 26.2886 valiPrecCost = 0.9175 26.3141 trainPrecCost = 0.9210 26.2921 valiPrecCost = 0.9175 26.2877 trainPrecCost = 0.9209 26.2697 valiPrecCost = 0.9175 26.3160 trainPrecCost = 0.9210 26.2922 valiPrecCost = 0.9175 26.2995 trainPrecCost = 0.9209 26.2765 valiPrecCost = 0.9167 26.3127 trainPrecCost = 0.9210 26.2920 valiPrecCost = 0.9163 26.3124 trainPrecCost = 0.9210 26.2869 valiPrecCost = 0.9165 26.3238 trainPrecCost = 0.9212 26.3047",0,None,1,Sat Nov 29 2014 03:52:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11084,/competitions/digit-recognizer,None
/rightfit,Recap please!!,"Hi can some one give (the late comers) a recap please. I joined this competition yest and wow ! what a lot has already happened. As always, I did read through the forums, but it is difficult to follow the sequence of events across several threads in this specific case where the competition rules, data, evaluation , leaderboard ? what else ? - has changed and I cannot cross reference with the comments.",0,None,7,Sat Nov 29 2014 08:41:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11086,/competitions/helping-santas-helpers,None
/avishek,*URGENT* - ids in Test and SampleSubmission not matching ,"Hi Everyone, I've downloaded the test dataset on 6th Nov and the sampleSubmission today. I tried to match the ids from the test dataset and sampleSubmission but not a single id is matching between them. I'm not sure if new test dataset was uploaded in kaggle after 6th Nov as I haven't followed the forum regularly after 6th. Apologies for that!! But did anyone face the same problem? Can anyone tell where to find the latest test dataset or the sampleSubmission? Below is the R code which I used to do the matching: <data is a subfolder in my working directory> tst <- read.csv(""data/test.csv"",header = T,sep = "",""); sub <- read.csv(file = ""data/sampleSubmission.csv"", header = T, sep = "",""); x<-intersect(x = sub[,""id""],y=tst[,""id""]); x and I get numeric(0), which is an empty. Appreciate if someone can throw some light on this issue!! Thanks, Avishek",-2,None,4,Sat Nov 29 2014 17:37:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11087,/competitions/avazu-ctr-prediction,64th
/notrick,Work Hours Rules Clarification,"I posted this at the bottom of the other thread, but in the event no one is watching that. . . The rules somewhat imply that starting work on a toy in unsanctioned time is disallowed. Also the rules states that sanctioned time is between 9:00 and 19:00 (are both ends of this interval inclusive?) If both of these are true, the sample submission is illegal as it is starting elves after 19:00: 14858,261,2014 1 1 19 1,214859,404,2014 1 1 19 1,514860,526,2014 1 1 19 1,514861,532,2014 1 1 19 1,614862,556,2014 1 1 19 1,914863,575,2014 1 1 19 1,12 In addition: Hours.is_sanctioned_time(19*60) returns False Hours.is_sanctioned_time(18*60+59) returns True Can we get clarification on these two things, please? 1) What are the sanctioned hours, and are the ends inclusive or exclusive? 2) Can you start an elf on a toy in unsanctioned time? Side question. Why is the ""duration"" required to be given on submissions? The scoring system should know what it is, at minimum. Since there is not a requirement that every elf spend every minute of sanctioned time working, it makes no sense to allocate an elf to more time than necessary to a toy--that is to say there is no point difference between that and being idle.",2,bronze,3,Sat Nov 29 2014 21:31:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11088,/competitions/helping-santas-helpers,155th
/fchollet,Shuffling the data in pure Python,"I've written a simple pure Python script for shuffling large files with a memory buffer. In case you want to keep your codebase free of any C++ utils, this is the way to go : ) It shuffles the train data in ~5 minutes on my late 2013 Macbook Pro, with a buffer of 10M lines (that's about 1.5GB). EDIT: Added a version with header support. Personally I use headerless files, but I guess some of you do use headers. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59248/1769/shuffle_file.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59248/1770/shuffle_file_headerless.py",9,silver,2,Sun Nov 30 2014 01:20:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11089,/competitions/avazu-ctr-prediction,44th
/herimanitra,Ratio click vs non-click,"Do you think the ratio # click / # non-click is controlled in the test set to mimic the reality? What may be this rate 20%, 30%? Thks, HR",0,None,4,Sun Nov 30 2014 07:02:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11090,/competitions/avazu-ctr-prediction,415th
/soumojit86,For toys with very large duration....,"Kind of silly question.. I feel I am missing something... Kindly if someone can let me know or having the same doubts... In the data set there are many toys which has a duration of 47473 or 38000.. Even with an efficiency of 4, it would take an elf to complete it in more than 10000 mins which effectively is more than 9 days continuous. In such cases, how does the elf work.... Does it complete the work at a stretch for working 9-10 days including all sanctioned and unsanctioned hours... or work partly, come back and complete it in next day.... The problem is if I make the elf work another 14 hours in the unsanctioned hours..it needs to automatically rest and come back next to next day.. and a gap in continuous work stream happens...Another way is to complete the full work and take rest equivalent to the time worked in unsanctioned hours.. Not able to formulate the problem without the clarification.... It is stated in the problem that ""Once work on a toy starts, it must continue until the toy is complete, and it must be performed by only one elf. As a result, an elf cannot start work one day, stop, and then resume the next morning, or have a different elf resume the work"".. If this is true how toys of very large duration can be worked upon....""",2,bronze,5,Sun Nov 30 2014 07:31:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11091,/competitions/helping-santas-helpers,289th
/paweljankiewicz,How to store millions of images,"Hi I have to think of a way to store about ~10 million images (~100 GB). I'm looking for some suggestions. Images characterstics: - each image is no more than 100 kilobytes - they are different in size - each has meta data (a dozen or so key value pairs - some values can be lists). The meta data is heterogenous - there is no schema to think of. The reason for storing this data is to build an image transformation pipeline that will end with CDNN (convolutional deep neural network). A few ideas that I had: - keeping the data in mongodb (meta data + image as binary field) - because no schema of the meta data - keeping meta data in mongodb and image data in some other collection (files, database, s3, key-value store) Is there a proper way to do this?",1,None,2,Sun Nov 30 2014 13:13:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11092,None,None
/mmucha,"Can we get a clarification, please?","This has already been asked at least twice, but since there was no reply from the organizers afaik, I made another thread with a more straightforward name :) Here is the issue: it has been stated by joycenv in this topic: http://www.kaggle.com/c/helping-santas-helpers/forums/t/11068/work-time-and-schedule-rounding that elves cannot start a new job in unsancioned hours, or at least something that I, perhaps wrongly understood in this way. On the other hand, the sample answer contains entries like these: 14859,404,2014 1 1 19 1,514860,526,2014 1 1 19 1,514861,532,2014 1 1 19 1,614862,556,2014 1 1 19 1,914863,575,2014 1 1 19 1,1214864,607,2014 1 1 19 1,12 Are these valid? If so, is any starting time valid? If so, do the elves actually start working rightaway in these cases, or do they wait for first sancioned hours? etc... In short: please elaborate on these specific lines.",5,silver,20,Sun Nov 30 2014 13:17:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11093,/competitions/helping-santas-helpers,1st
/sircausticmail,Extracting .txt/.csv files from .pgn,"Hi All, I am having trouble extracting data from the .pgn files, for the game owners. Could you direct me to how somebody used R or Python to extract the data. Thanks, KB",0,None,6,Sun Nov 30 2014 16:43:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11094,/competitions/finding-elo,13th
/taffeylewis,This is why we're having troubles...,No comments necessary... [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59277/1773/Rplot.png,0,None,9,Sun Nov 30 2014 18:18:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11096,/competitions/helping-santas-helpers,73rd
/linhaoye,A question about the type of Feature,"Hi, All. I'm a new kaggler, and I'm confused about the type of anonymous feature C14, of which values vary from hundreds to 20k. It looks like numerical, could anyone tell me whether it's numerical or categorical? If it's categorical, is it ordinal or not? I think it's important to my model. Thanks in advance!",0,None,3,Mon Dec 01 2014 02:28:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11098,/competitions/avazu-ctr-prediction,408th
/sandeepkumar,Doubts in Variables,"Hi friends, I am new to this type of projects.I have some queries regarding the variables like: C1 -- anonymized categorical variable, C14-C21 -- anonymized categorical variables. Do I need to use these variables,if so what variables are these? Could you please clarify this query? Thanks in advance Sandeep.",0,None,6,Mon Dec 01 2014 04:29:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11099,/competitions/avazu-ctr-prediction,None
/sandeepkumar,"Confirmation of sample size for ""train""","Hi All, Can someone please confirm the sample size for train dataset. I got it as n= 10,48,575. Is the count correct? Thanks, Sandeep.",0,None,4,Mon Dec 01 2014 08:01:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11101,/competitions/avazu-ctr-prediction,None
/sandeepkumar,Running through SAS software?,"Hi, Can we run this analysis through SAS software?",0,None,14,Mon Dec 01 2014 08:06:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11102,/competitions/avazu-ctr-prediction,None
/pratibha5,Rule learning approach,"Hi, I am new to Machine learning or data science in general. I have developed my own classifier which generates a set of rules in this format IF ((Age=High) AND (BloodPressure=Low)) THEN Class=Control Now I have a set of rules with Certainty factor for each of them. Anyone knows how can I test my set of Rules on the data and generate sample submission. I am able to run it on the training data but for test data I am getting out of memory exception in java(eclipse). I guess we can build our classifier in WEKA but I don't have that much time my class project submission. We need to make a submission kaggle and shows the score we achieved in our coursework. Any quick method would be appreciated Any suggestion appreciated Thanks Pratibha",0,None,1,Mon Dec 01 2014 10:05:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11103,/competitions/forest-cover-type-prediction,None
/eransom,Frequency from Fourier Transform correlates with overall skill,"I came across something in this data that I thought was pretty interesting. First, I noticed that the skill of the two players is highly correlated, so rather than attempting to predict the skill of black & white players, I decide to predict the average skill of the two players and the difference between them. Second, I ran both a fast fourier transform and a spline on the move scores over time. The main result: frequency intensities correlate with the average skill of the players, while move scores correlate with skill difference between the players. I thought this was pretty interesting. It basically suggests that games between skilled players have a different oscillation in their scores. Sample R code attached. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59330/1775/preprocess.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59330/1776/linear_models.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59330/1777/elo.txt",3,bronze,1,Mon Dec 01 2014 15:16:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11105,/competitions/finding-elo,None
/rbobx252788,What is the purpose of gendermodel and genderclassmodel?,Are those two files needed? And how is the score computed?,0,None,1,Mon Dec 01 2014 17:39:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11106,/competitions/titanic,None
/jiweiliu,Install FICO tool,"Hey guys, has anyone installed FICO's tool? I had trouble at the licensing part. where can I find the license? My system is linux. Thank you!",0,None,4,Mon Dec 01 2014 17:44:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11107,/competitions/helping-santas-helpers,254th
/mmucha,Bug in the sample code and evaluator,"It has been said (and is explicitly stated in this code) that elves cannot start work off-hours. However, the code does not fully prevent it. What it does is it sets the next_available_time field like this: if hrs.is_sanctioned_time(end_minute): self.next_available_time = end_minute else: self.next_available_time = hrs.next_sanctioned_minute(end_minute) and then it only ensures that the elf does not start BEFORE this time. However, it can still start AFTER that time off-hours. In fact elves do this in the sample output.",5,silver,15,Mon Dec 01 2014 18:30:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11108,/competitions/helping-santas-helpers,1st
/shaneoneill1,"Child died, Wife died: constructing a new variable","Hi folks, I'm thinking that in the cases where a child died, it's usually because they didn't make it into a lifeboat. If the child didn't make it into a lifeboat, then I don't think that the parents would have either. So a dead child is probably a good predictor of a dead parent. From inspecting the data in Excel, I think that this is true 90% + of the time. So I identified the family groups from a combination of shared ticket numbers, consecutive ticket number, surnames and cabin numbers, and then looked at the family members to see who were the parents and who were the children, and created a new variable called 'Child died'. In cases where I knew that somebody's child had died, the parent got a value of '1' in their 'Child died' variable (or '2' if they had 2 dead children, and so on). If their child survived, or if their child was in the test data (i.e. fate unknown), then the parent got a 'zero'. If they had no children, or were a child themselves, they got a zero. I don't think that this is the best way to construct the variable, but I haven't yet figured out how to improve it. When I had done this with the entire training and test data, I plugged it back into my decision tree model in R, and uploaded the output to Kaggle, and got 0.80861 - exactly the same figure as my previous attempt. Two questions: Do you think I can improve on the construction of the variable? Do I need to specify that Child_Died is a factor, not a number? Thanks, Shane",2,bronze,4,Mon Dec 01 2014 21:26:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11109,/competitions/titanic,None
/brundage,Stuck on FICO and Mosel,"I've been playing around with the FICO modeling tools and trying to express the contest conditions as pure Mosel LP constraints. [Link]:http://www3.ntu.edu.sg/home/bernhard/lp/lp_book.pdf has many great examples of using Mosel to model various kinds of problems. However, it's the first time I'm using Mosel, and I'm stuck on some compiler errors that I don't understand how to work around. There seem to be few online resources (nothing on stackoverflow) to help guide me, so I thought I'd ask here and hope someone can point me in the right direction. Question #1: suppose we declared ELVES = 1..900 TOYS: range ElfStart: array(ELVES, TOYS) of mpvar ! Time each elf starts on each toy DAY=1440 ! minutes in a day = 24*60 SHIFT_START=540 ! work can't begin before 9:00 SHIFT_END=1140 ! work can't start after 19:00 and we wish to express that work on each toy much occur between SHIFT_START and SHIFT_END each day. I've attempted many formulations of this idea. The link above contains an example using the modulo operator, but whenever I try it using: forall(t in TOYS, e in ELVES) ElfStart(e, t) mod DAY >= SHIFT_STARTforall(t in TOYS, e in ELVES) ElfStart(e, t) mod DAY < SHIFT_END I get E-101: Incompatible types for operator (`mpvar' mod `integer' not defined). Is there a way to work around this and express the desired concept? I've already tried several other formulations, such as forall(t in TOYS, e in ELVES) ElfStart(e, t) <= DAY*DayOffset(e,t) < SHIFT_END so far without luck. Question #2: How can I effectively express forall(t in TOYS) ElfStart(e, t)= 0 for all but one elf e ? This seems to be a common need, and there are many examples in the docs that are all just slightly off from what I need. For example, forall(t in TOYS, e in ELVES) ElfStart(e, t) is_sos1 seems almost right, except that the ElfStart(e,t) values are not strictly ordered -- (different) elves may start working on (different) toys at the same time. I tried introducing a separate Assignment(e, t) binary variable, but then I get compiler errors when multiplying the integer assignment with the mpvar ElfStart and comparing to another integer. Thanks in advance, Synthient",2,bronze,2,Mon Dec 01 2014 22:13:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11110,/competitions/helping-santas-helpers,234th
/kdoniger,How is Duration Calculated in the Submission File?,"I think I saw this buried in another thread, but I'd like to see it out in the open. Thanks.",0,None,8,Tue Dec 02 2014 02:01:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11112,/competitions/helping-santas-helpers,None
/raghavmech,Which method to use,"Hi all, I am very new in this field. I have selected this topic to work upon and develop knowledge in the field of data science. I have made simple linear regression model in R and got a score around 201. How should I proceed? What other methods are available for this kind of problems?",0,None,11,Tue Dec 02 2014 10:01:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11113,/competitions/finding-elo,60th
/herimanitra,Names on Leaderboard,"Names become a mean to express sentiment... I miss..., etc.",4,bronze,6,Tue Dec 02 2014 16:51:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11115,/competitions/avazu-ctr-prediction,415th
/ydhiman,Productivity after 10 Hrs Shift ? ,Productivity after a shift of 10 hrs becomes 1 or will depend on the no. of non sanctioned hrs in an elf quota. question arises because I can see a toy duration is 47473 mints which means elf will continue working on this toy ....... with its productivity going to the least among all elves.,-2,None,1,Tue Dec 02 2014 17:56:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11116,/competitions/helping-santas-helpers,None
/carlybormann,Using Weka,I am using this data for a class project and was wondering if anyone had tried using the program Weka and if they had any suggestions for getting started in the right direction.,0,None,7,Tue Dec 02 2014 17:58:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11117,/competitions/forest-cover-type-prediction,None
/mariofilho,Are your top solutions already very complex?,"Hi fellow Kagglers! My actual solution (LB 0.3944) is already very complex, with a high number of models. I would like to know if the guys in the Top 100 are noticing this too, or are you doing well with simpler alternatives? Thanks!",6,bronze,19,Tue Dec 02 2014 18:56:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11118,/competitions/avazu-ctr-prediction,42nd
/dimitrioschr,Anybody working the problem in R?,"Trying it out in R, but it's kind of slow... Learning a lot in the process, but haven't yet run a complete simulation, just fragments for process checking. Anybody else working in R? Anxious to share...",1,bronze,29,Tue Dec 02 2014 21:05:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11119,/competitions/helping-santas-helpers,None
/ashk16,What is the approximate run time of algorithm (end to end)?,I think we have lot of things to optimize here. It will be interesting to know the run times as the data is too huge and work allocation being done in series ( like one toy allocation at a time).,1,bronze,15,Wed Dec 03 2014 08:39:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11120,/competitions/helping-santas-helpers,None
/pambos82,features,what futures do you use? (i don't know if this question is legal),0,None,1,Wed Dec 03 2014 13:38:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11121,/competitions/inria-bci-challenge,140th
/regressor263679,parallelizing cforest ?,"Hi First of all this is my first competition in Kaggle and I am new to data science. I am trying to use cforest (R 'party' package) for checking the relation between 'click' and some of the other parameters. But it is giving me the error : Error: cannot allocate vector of size 18.4 GbIn addition: Warning messages:1: In model.matrix.default(~x - 1) : Reached total allocation of 16080Mb: see help(memory.size)2: In model.matrix.default(~x - 1) : Reached total allocation of 16080Mb: see help(memory.size)3: In model.matrix.default(~x - 1) : Reached total allocation of 16080Mb: see help(memory.size)4: In model.matrix.default(~x - 1) : Reached total allocation of 16080Mb: see help(memory.size) My system has 16gb ram and 4 cores , I tried using random forest also and parallelized it using foreach but there also I am getting an error that rforest ""Can not handle categorical predictors with more than 53 categories."" Please suggest me an approach",0,None,2,Wed Dec 03 2014 14:16:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11123,/competitions/avazu-ctr-prediction,None
/van158259,are we allowed to round productivity rating up?,This is my first attempt at a kaggle competition so I'm not familiar with all of the rules. I was wondering are we allowed to round the rating up? Say if i get a rating of 1.03697188468 for working 110 min so not a full 2 hours can I round to 1.04. Thanks,-1,None,1,Wed Dec 03 2014 20:19:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11124,/competitions/helping-santas-helpers,None
/del=cd235518c31d36af,Do we know when each order will arrive from day 1? ,I don't know if we the orders are unknown until they arrive to Santa or we can adjust our strategy knwoing in advance when will arrive each order.,0,None,3,Wed Dec 03 2014 20:53:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11125,/competitions/helping-santas-helpers,None
/ahmedkhattab,Parsing Arrival Time in R,I need to convert the Arrival Time column into a an integer format. Any help ?,-1,None,5,Wed Dec 03 2014 21:54:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11126,/competitions/helping-santas-helpers,333rd
/jmpa257195,Do ticket numbers mean anything?,"There are tickets like 113783, A/5 21171, PC 17599, etc... What do the numbers mean? What do the letters mean? I couldn't find any info anywhere.More generally, how are people using the ticket numbers?",18,None,15,Thu Dec 04 2014 00:18:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11127,/competitions/titanic,None
/zygmunt,"Robert Cattral is a smart and educated man, just not an honest one, a judge concluded Tuesday.","The home page of this competition suggests reading the paper by Cattrall et al: http://www.wseas.us/e-library/conferences/crete2002/papers/444-494.pdf When I read a paper, I often google the authors' names to see their home pages. But this time... https://www.google.pl/search?q=ROBERT+CATTRAL",1,None,6,Thu Dec 04 2014 00:45:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11128,/competitions/poker-rule-induction,107th
/nfswitcher,cannot make submission anymore?,"When I was trying to make a submission today, I got an error msg like 'oops, something went wrong...' Can we still make a submission? Can anyone help? Thanks!",0,None,2,Thu Dec 04 2014 05:34:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11130,/competitions/seizure-prediction,199th
/chevli,Error in get_sanctioned_breakdown function in sample code,"After spending considerable time on sample code, I found that get_sanctioned_breakdown is not working well for toys for which duration time is less than 10 hours. I tried it for 5 min duration toy for all possible time in a day (sanction or unsanctioned) It is giving sanction time 2.08 and unsanctioned 2.92 whether it is started at 9:00 AM or 9:00 PM. It should be 5,0 if toy completed within sanctioned hours. I hope this is error in there in evaluation sheet. Thanks",0,None,6,Thu Dec 04 2014 10:44:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11131,/competitions/helping-santas-helpers,181st
/triskelion,Feature engineering,"Having some poker domain knowledge seems to hamper my intuitive approach. Some ""hand-coding"" features I thought about: Number of card ranks that are equal Number of card suits that are equal Number of cards ranked above or below n Rank of ace can be 1, but also 14 Order the hand by rank and suit Length of longest sequential ranks in ordered hand This may or may not generalize well to other card games. For instance, this would still learn the rules of a custom home game, where a straight ace-high is counted as a royal flush, but won't detect straights where cards are spaced out by 2 ranks: 3h 5s 7c 9d Jc. Am I correct in the interpretation of the spirit of this knowledge competition, that, yes: Feature engineering, finding interactions must be fully automatic? we need to teach our bots to count and detect order, without helping it (sorting on ranks, creating permutations etc.)? A fully automatic rule induction system also detect custom rules, like allowing straights where cards are spaced out by 2 ranks (or any other order 1-2-1-2-1)?",4,bronze,13,Thu Dec 04 2014 15:14:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11133,/competitions/poker-rule-induction,128th
/towelie,Scoring system,"Scoring system is a little weird. Below is two data points (fictional) out of 6493 (test set). You can see that you’re getting punished much more severely for the first data point, even though first data point is off by 14 while second data point is off by 500. Keep in mind that your score is simply square root of an average of all errors. Am I missing something? Actual Predicted log(Actual+1) log(Predicted+1) Error1 15 0.3010 1.2041 0.8156500 1000 2.6998 3.0004 0.0904 Where error is simply (log(Predicted+11) - log(Actual+1))^2",0,None,3,Thu Dec 04 2014 19:08:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11134,/competitions/bike-sharing-demand,1909th
/manas6,Ideas on using Python or R on Mac OS X?,"Hey all! I'm working on this competition for a school project, essentially trying to get the best score I can for my group (doing this for the grade, not the money). I was wondering if anyone using a Mac was having any luck getting Python (Pypy or 2.7.8) or perhaps R Studio to generate successful submissions (not necessarily the best, but scoring well hopefully) I'm fairly new to both R and Python, and was wondering if anyone had any ideas that might help us get the ball rolling as we feel a bit stalled at the moment. Any input would be greatly appreciated!",0,None,14,Thu Dec 04 2014 22:50:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11136,/competitions/avazu-ctr-prediction,694th
/taffeylewis,Submission error that shouldn't be happening...,"I'm dealing with a ""your elf needs his rest"" error in my submission that as far as I can tell should not be occurring... I'm told that Elf 79 (whom I've since named Sheldon) needs his rest before starting toy 1256903. Sheldon was supposed to start with the toy's arrival at 97626 (20 06 in the evening), and the error says he can't start until 98460 (10 00 the following morning), implying that Sheldon needed a 60 minute rest period first. However, that's not possible. Sheldon's last completed toy was 1255948, started at 97547 (18 47 in the afternoon) with a duration of 13 minutes, so he was ready for the next one at 97560 (19 00, just in time for the danged traffic jam on the North Pole Expressway). get_sanctioned_breakdown(97547, 13) gives the expected breakdown sanctioned, unsanctioned = {13,0}... no unsanctioned time, so no resting time needed! So why does the submission evaluator think Sheldon needs to rest for 60 minutes the following morning? Edit: Additional weirdness: the error actually says Sheldon was starting at 97686, but the submission file shows 97626. This date happens to be 9 March (daylight savings day). Turns out my R date-time package is automatically accounting for the daylight savings time when converting the integers to date-strings. Ugh!",0,None,7,Fri Dec 05 2014 04:37:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11139,/competitions/helping-santas-helpers,73rd
/zhfthu,Why I cannot download the datasets directly ?,"Hello ,When i click the file's link,the browser will directly open the file. And the restaurant.txt file's format is bad.",1,None,4,Fri Dec 05 2014 04:38:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11140,/competitions/predict-repeat-restaurant-bookings,None
/arunningpudge,Opting out?,"Hi, is there a way to opt out of this competition. I got started a few months ago, but dropped it after seeing the how some contestants had misunderstood the contest rules. I basically had no interest after learning about this, and I'd like to drop this from my ""active"" competitions.Thanks!",0,None,1,Fri Dec 05 2014 05:14:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11141,/competitions/bike-sharing-demand,705th
/melevir,Feature binarization questions,"I've been trying to binarize some of the contest's data fields and a couple of questions came up. 1. Why feature binarization should work at all? Let's use 'weather' column as example: yes, weather = 4 is not twice cooler (or something) as weather = 2, but after binarization I have four columns (let's say 'weather1', 'weather2' and so on) that are not independent. For example, if 'weather3'=1 for some row, then 'weather1', 'weather2' and 'weather4' are 0 for the row. So I now have a lot of new features that gives me no use. Why should the approach work at all? 2. What fields are worth binarization? 'weather' is good example, but same logic can be applied to almost all integer columns - for example, 'date day' or 'date month' (and thats a LOT of new features). So when trying this I used PCA to decrease dimension of feature space. And it gave me no use - I couldn't get results better that result I get without binarization+PCA. That leads me to bonus question: how can I find out if this preprocessing technique worth using before actually trying it. I would be glad to get any help - please, explain or give referense to good data source or tell me where I'm wrong.",1,bronze,3,Fri Dec 05 2014 07:53:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11142,/competitions/bike-sharing-demand,458th
/seanl155591,Meaning of the Field Name,"What does ""VehOdo"" mean? What does ""MMRCurrentAuctionCleanPrice"" mean? Current Auction? and compared to ""MMRCurrentAuctionAveragePrice""?",0,None,1,Fri Dec 05 2014 18:27:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11145,/competitions/DontGetKicked,None
/allenbj,Elf's productivity rating,"In sampleSubmission_rev2.csv2299198,1,2014 5 24 17 15,12562308405,1,2014 5 26 18 11,21 In toys_rev2.csv2299198,2014 5 1 9 11,50222308405,2014 5 1 18 19,21 In 2014 5 24 17, Elf 1's productivity rating is 4.0 (5022 / 4.0 is about 1256) After 1256 minutes (705 sanctioned and 551 unsanctioned), productivity rating is 4.0 * 1.02 ^ (705/60) * 0.9 ^ (551/60) = 1.9182522718167787 Toy 2308405 should spend 21 / 1.9182522718167787 is about 11 minutes. But the sample Submission is 21 (2308405,1,2014 5 26 18 11,21). Is there an error? Thanks.",0,None,2,Fri Dec 05 2014 20:55:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11149,/competitions/helping-santas-helpers,None
/mlwhiz,Beating the Benchmark with Vowpal Wabbit LB- 0.4031,"Taking inspiration from Triskelion and Zygmuntz, here is my solution using Vowpal wabbit which scored a 0.4031825 without much tuning whatsoever mlwhiz.com/blog/2014/12/01/Exploring_Vowpal_Wabbit_with_Avazu/",14,gold,17,Fri Dec 05 2014 21:03:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11150,/competitions/avazu-ctr-prediction,546th
/mmucha,Rudolph prize timeline,"The webpage states that it starts Monday, December 8, 2014 midnight UTC. Is this the midnight between sunday and monday? Or the one between monday and tuesday? Thanks.",0,bronze,2,Fri Dec 05 2014 23:20:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11152,/competitions/helping-santas-helpers,1st
/notrick,C++ Code for Naive Solution,"Hi all, I ported the Kaggle python code to C++ and made it available here https://github.com/rdbisch/Santa2014 Please read the notes, it doesn't match 100% yet but to the best I can tell it does produce valid solutions. Enjoy",8,silver,7,Sat Dec 06 2014 01:13:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11155,/competitions/helping-santas-helpers,155th
/ahmedkhattab,Elf starting point !?,"If a toy arrives at the minute 3, when can an Elf start working ? Beginning the minute 3 or 4 ?",0,None,1,Sat Dec 06 2014 09:22:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11156,/competitions/helping-santas-helpers,333rd
/ngutten,Metrics for unsupervised learning,"I'm trying to figure out if there would be a good way to objectively evaluate the ability of an unsupervised learning algorithm - e.g. how one would run a Kaggle competition or something like that aimed at unsupervised learning problems. What I've come up with so far would be that each row of the test set would involve the imputation of a random feature (effectively sort of like the Billion Word Imputation competition). So for each row, you get all but one feature and you have to predict the remaining feature. You could then use whatever metric you like on top of that. It seems like that would generally reward algorithms that can find relationships between parts of the data without any bias towards particular things being the dependent or independent variables. Are there other good examples of this kind of thing I could take a look at?",0,None,2,Sat Dec 06 2014 11:39:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11157,None,None
/notrick,Yet More Confusion,"TL;DR--why is this OK? 2296516,151,2014 5 24 11 16,1664 2308746,151,2014 5 26 19 0,124 but this is NOT? 2113276,737,2014 4 28 9 36,1164 2132712,737,2014 4 29 19 0,67 My submission fails with the message ""Elf 737 unavailable at specified time, but will be available later..."" The elf in question's prior toy was: 2113276,737,2014 4 28 9 36,1164 Breaking it down, he works on this toy until 5am yielding 600 unsanctioned minutes and 540 sanctioned minutes. His rest period starts at 9:00, and ends at 19:00, 600 minutes later. That is when I tried to start him back up: 2132712,737,2014 4 29 19 0,67 Now, how is this scenario any different than the example submission for Elf 151, toy 2296516? 2296516,151,2014 5 24 11 16,1664 He starts work at 11:16 on the 24th, finishes at 3pm on the 25th, rests for the next six hours + ten hours the following day totaling 840 minutes rest, and then immediately starts working at 19:00 on the 26th: 2308746,151,2014 5 26 19 0,124 Is the interpretation supposed to be ....they can start at 19:00 if and only if they did no work at all that day from ""00:00-18:59""?",5,bronze,9,Sat Dec 06 2014 19:58:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11158,/competitions/helping-santas-helpers,155th
/adjgiulio,Does this competition feel too long?,"The various re-starts might play a role, but I look at the leaderboard and the type of .000x progress being made and I cannot help but thinking that there are still TWO LONG months to go... it feels like a lot of time.",0,None,14,Sat Dec 06 2014 22:20:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11160,/competitions/avazu-ctr-prediction,105th
/lawrencechernin,Results By Cover Type,"With Random Forest's I get vastly different accuracy per tree type, only 66% of Lodgepole pine are correct, but 96% of Cottonwood's. Anyone found a good way to improve identifications per type? Maybe separate classifiers? 1) 0.7362) 0.6613) 0.7804) 0.9615) 0.9116) 0.8287) 0.940",1,None,1,Sat Dec 06 2014 22:38:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11161,/competitions/forest-cover-type-prediction,254th
/jetsnguns,FICO Mosel Greedy solution,"Hello all! I have installed FICO tool and downloaded their sample code to produce a greedy solution. But when I submit it to test, it geets lower score than 'benchmark' greedy solution. I have tried to investigate it myself but I wasn't able to find any obvious errors in thee code. How can two greedy solutions be different? Is something broken in smple FICO code?",0,None,13,Sun Dec 07 2014 00:53:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11162,/competitions/helping-santas-helpers,184th
/del=444c9806405403bd,Coreelated predictors,"I looked at the correlation between predictors and I obtained from the correlation matrix M :which(m>0.7,arr.ind=T) r row colWilderness_Area4 15 2Hillshade_3pm 1 0 8Hillshade_9am 8 10Elevation 2 15 Since the correlation is in module I looked at them and this predictors are practically anticorrelated cor(data$Elevation,data$Wilderness_Area4):=-0.7836511 How can I use this information to improve the performance of the prediction.",0,None,1,Sun Dec 07 2014 15:04:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11163,/competitions/forest-cover-type-prediction,377th
/atlantageek,Differences between fico and python implementation.,I did my first solution using fico. It passed and when I tried to submit it (which uses the python code to confirm) I found that it failed. There are two issues. 1. The python code requires the file to be sorted by time. Fico generates a file sorted by toy id. I was getting errors when I tried to get a early toy to be built on later dates. It said the elf was not productive enough because the python code did not consider elves doing other toys with an earlier date but later in the file. The fico evaluation could handle this. 2. Fico allows me to build a toy starting at 7:00pm. The python doesnt. Y'all need to use the same evaluation criteria on both models.,1,bronze,8,Sun Dec 07 2014 17:08:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11165,/competitions/helping-santas-helpers,20th
/tangy1994,Optimum Cross Validation Method?,I have been experimenting with 2 combinations of cross validaters - Leave 2 subjects out and direct 4 fold cv and noticed that the 4 fold cv seems to be reflecting the leaderboard score better than Leave 2 subjects out although I had anticipated the opposite. Any ideas for a good cross validation technique?,1,bronze,8,Sun Dec 07 2014 21:15:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11166,/competitions/inria-bci-challenge,128th
/zygmunt,Beatung the Benchmurk,"My solution to this competition, which I kindly present to you below, highlights a few nice features of Vowpal Wabbit: handle categorical features directly create feature interactions automatically create validation split automatically and report a score perform multiclass classification The idea is to represent each card as either present or absent from the hand, for 52 (I think) indicator variables - all off except five. Then compute interactions and add some regularization to offset high dimensionality. The code: https://github.com/zygmuntz/kaggle-poker-hands Remember to up-vote in case you find it interesting.",9,silver,4,Sun Dec 07 2014 21:16:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11167,/competitions/poker-rule-induction,107th
/davidthaler,Team names have gotten ridiculous,The leaderboard rendering for the Avazu competition changed for me yesterday (both in Chrome and Firefox) to an awkward wide-page format. I believe the change was triggered by the entry of this team: LMS_!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! There should probably be a (shorter) length limit on team names.,14,gold,8,Sun Dec 07 2014 22:46:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11168,None,None
/meret172945,Bug in next_sanctioned_minute?,"Running the sample code: next_sanctioned_minute(24 * 60 + 539) = 3420 next_sanctioned_minute(24 * 60 + 540) = 1981 That does not seem right. Every minute between midnight and 8:59 yields the next_sanctioned_minute to be the start of the FOLLOWING day. I think it has no effect on the evaluation code, but it is still a bit misleading.",4,bronze,9,Mon Dec 08 2014 01:32:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11169,/competitions/helping-santas-helpers,45th
/triskelion,Genetic Programming,"I'm excited about [Link]:http://en.wikipedia.org/wiki/Genetic_programming and this challenge. Anyone else? Please post resources in this thread. [Link]:http://shop.oreilly.com/product/9780596529321.do has a chapter on genetic programming using tree structures in Python. Multi-class makes my current approach a bit complicated. I reasoned the dumbest strategy is playing randomly, the first learning strategy is picking the most popular class for everything (which is ""0""), second order is: if (conditions): prediction = ""1"" # second-most popular class else: prediction = ""0"" # most popular class third order would be if () elif () else () etc. I am building these conditions with the following: Prefix-genes: ['row[""S3""]', 'row[""S2""]', 'row[""S1""]', 'row[""S5""]', 'row[""S4""]', 'row[""C3""]', 'row[""C2""]', 'row[""C1""]', 'row[""C5""]', 'row[""C4""]'] Postfix-genes: ['row[""S3""]', 'row[""S2""]', 'row[""S1""]', 'row[""S5""]', 'row[""S4""]', 'row[""C3""]', 'row[""C2""]', 'row[""C1""]', 'row[""C5""]', 'row[""C4""]', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13'] Relations: ['int(%s) greaterthan int(%s)', 'int(%s) smallerthan int(%s)', '%s == %s', '%s != %s', 'int(%s) %% int(%s) == 0', 'int(%s) - int(%s) == 1', 'int(%s) - int(%s) == 2'] Bounds: ['or', 'and'] Fitness function is accuracy on train set. Just random in-breeding right now + new random, no mutation. Only structure given before algorithm initialization is the location to the train set and the name of the target column, the rest is assumed to be features. The non-pruned result of a few generations is attached. Script to build your own will follow once I've cleaned it up. For pruning I am thinking of removing parts of the program and keep them removed if fitness score stays the same or improves. A sample program that will beat the all ""0"" benchmark: if row[""S2""] != 5 and row[""C3""] == row[""C4""] or row[""C4""] == row[""C5""]: target = ""1""else: target = ""0"" [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59752/1793/gpsolution.py",5,bronze,9,Mon Dec 08 2014 01:41:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11170,/competitions/poker-rule-induction,128th
/oliverhan,Did applying PCA raise up your score? ,"As it's known to all, it speeds up the training in an obvious way. But my concern is, would it raise or actually hurt your prediction score? BTW, how many variances you guys are using? I've tried 50 but... er...",0,None,6,Mon Dec 08 2014 08:30:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11171,/competitions/digit-recognizer,None
/amoyakd,Data for the competiton,"Hi Is it possible to get access to the training data for this competition. Agreed that the competion has ended, however, I just wanted to try the concepts that I have learnt and test them against the others.",2,None,3,Mon Dec 08 2014 12:47:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11172,/competitions/socialNetwork,None
/vincentjost,"Rudolph Prize: longest interval, or cumulated time ?","The rule says: ""Rudolph Prize - $5,000: Awarded to the team holding 1st place on the leaderboard for the longest period of time between Monday, December 8, 2014 midnight UTC and Wednesday, January 7, 2015 11:59 PM UTC."" This is ambiguous. Does it refer to the longest (single) interval of time holding the first place, or to the sum of the durations of the intervals of time holding the first place ? In either case, how often is updated the leaderboard for the concern of this prize ? (every minute or so, every hour, day... etc) Finally, will the current record of each contender (ie, the time he has scored so far regarding rudolph's concern) be made available (soon ?) during the competition ?, or will the leaders of this race be invisible (for someone who connects say on this site for the first time on christmas, and will therefore have no way to track the status of the race, while current contender can auto-request this website to track this information).",2,bronze,4,Mon Dec 08 2014 20:43:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11175,/competitions/helping-santas-helpers,405th
/wcukierski,If you get a perfect score...,"May we suggest you post your approach on Github, or at least explain in the forums how you did it? This won't be much fun if people cheat their way to perfect and the leaderboard is just noise!",10,silver,10,Mon Dec 08 2014 23:00:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11177,/competitions/poker-rule-induction,None
/devinanzelmo,Possible data leakage,It is possible to determine the labels that the Data Providers error detection classifier generated for session 5's by using the time between feedback events. Their classifier was trained on sessions 1-4 for the test subjects so it contains information we don't have access to otherwise. Using this gives me an extra .05 on four fold CV.,4,bronze,3,Mon Dec 08 2014 23:02:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11178,/competitions/inria-bci-challenge,2nd
/derekzh,Variable Occurrence Plots and Intepretation ,"Hi Fellow Kagglers, I did a variable occurrence count for the training data, in the hope of gaining insights on feature distribution and feature engineering. For every column, I counted the occurrence of each unique value, sorted in descending order, and generated x - log (y) plots. Overall I found three types of curves: (1). Linear (on a x-log(y) plot) app_category (plot attached), site_category, C1, C21 (plot attached) (2). Power low app_domain (plot attached), app_id, device_id, device_ip (plot attached), device_model (3). ""S"" shape. C14, C17 (plot attached), C19, C20, hour (plot attached) I attached two example plot for each type. Given my limited knowledge on data exploration, I was hoping the forum would shed some light on the information regarding the property of the variables when seeing these three types of distributions. Update: axes are labeled for easy read. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1795/C21_count - Linear.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1796/app_category_count - Linear.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1797/app_domain_count - power law.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1798/device_ip_count - power law.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1799/hour_count - S shape.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1800/C17_count - S shape.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1804/Linear - app_category_count.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1805/Linear - C21_count.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1806/power law - app_domain_count.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1807/power law - device_ip_count.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1808/S shape - C17_count.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59843/1809/S shape - hour_count.jpg",8,silver,3,Tue Dec 09 2014 00:32:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11179,/competitions/avazu-ctr-prediction,140th
/chipburwell,Evaluation Exception: Input string was not in a correct format..,"When I make a submission, my browser spins for a while. After about 5 minutes a window comes up and says ""Calculating"" with light bulbs above it. This goes on for another 5 minutes or so. Then I get a red bar at the bottom that says, ""Evaluation Exception: Input string was not in a correct format.."" Unfortunately, that's all the info I get. I look at my submission.csv file and everything looks good to me. I run the file through the sample evaluation metric and it works just fine. Anyone got any idea what this error might mean? I have zipped the .csv file, is it possible that's an issue? Thanks, Chip",0,None,7,Tue Dec 09 2014 00:53:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11180,/competitions/helping-santas-helpers,154th
/taffeylewis,Starter naive R code for cookies and milk,"Posted, but I only accept home-made chocolate chip/butterscotch cookies, still warm out of the oven, and whole milk for dunking. For hour_functions and elf_functions, this was an as-direct-as-possible port of the original python starter code, with the obvious R-specific accommodations. For elf_naive, it's just a straight loop of the naive heuristic instead of a function, mimicking everything in the python code as closely as possible. Load all the functions and then run the loop. Some points to note: I'm not psychic, so I don't know how everyone is reading their files in. Read them in however you want (data.frame assumed) and then plug into the appropriate line in elf_naive. Same thing goes for where you want to write out your final .csv. Code in next_sanctioned_minute has my implemented fix. I tried David Thaler's fix, and while yes, it does work, it fails at minute 539, so I consider my fix (only just very slightly) more robust. And yeah, I know minute 539 is irrelevant in practice, but I was fixing that danged thing at 2am in the morning. Code in get_sanctioned_breakdown is vectorized for the remainder minutes. Without vectorization here, is_sanctioned_time will be called a gazillion times for all those toys with 1 < x < 1439 remainder minutes. Date/time functions are fixed for timezone and DST using as.POSIXct and tz = 'UTC', so *should* work for anybody else's timezone without DST headaches. I can get a submission file in 23-24 minutes, on a single core of a 3-year old laptop i7. Your mileage may vary of course. Final score is exact to the LB benchmark, so that's a nice confirmation that it works, and for that reason, I see no point in building a local evaluator, since as long as I don't change the function behaviors in hour_functions or elf_functions, everything should be accounted for correctly, including the LB evaluator ""bugs"". I'm pretty certain that I made no changes to any of these functions since getting the successful submission. If they don't work, sure, I'll help, but take it as an opportunity to learn as well. Plus, I'm not psychic about your particular machine set-up anyway, so... I make no guarantees and no apologies for the code as posted. It is what it is. I'm sure it could be made more efficient, but hey, I'm on a time crunch here (only 32 29 days left in this competition and I haven't finished my optimization routine). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59850/1801/elf_functions.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59850/1802/hour_functions.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/59850/1803/elf_naive.R",13,gold,8,Tue Dec 09 2014 01:29:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11181,/competitions/helping-santas-helpers,73rd
/arunningpudge,creating features,"Hi, I have a question about feature engineering and selection. I have seen some competitors' approaches that seem to be a spray-and-pray. For example, in one tutorial, a competitor creates three new variables from one variable: discretized, scaled, and scaled/centered. I am wondering if this kind of approach adds multicollinearity in the model? I also feel that by creating many features, then it is hoped that a feature selection method such as recursive fitting will do the ""trick"". I am not criticizing anyones' approach. I am just curious as if this is a good way to approach feature engineering for prediction as my formal training is solely in effect modeling. Best, Tom",1,bronze,3,Tue Dec 09 2014 02:47:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11182,None,None
/melevir,Underfitting public data,"I've run into local cv-score/public score mismatch (huge mismatch, actually). Both used to be pretty much the same, but after some changes (in model hyper-params) this behavior changed - local cv rmlse score got a little better and public score dramatically moved up (from 0.4 to 1.1). And I can't find good explanation of this. Here several options I see: 1. The changes played good with local train data, but [very] badly - at public test data. It in fact can be a coincidence - model with new params plays well on one bunch of data and bad - on another bunch of data. That means... what? With assumption, that models plays good only on train data, there is nothing I can do to check this - all tests will be good (since I have only good bunch). This option seems unbelievable to me. Maybe there is theoretical way to prove, that this is impossible? Or this is possible and has some name (and ways to fight with it)? 2. I failed somewhere. I do it all the time, so this is most possible option. But since model worked fine until last commit and last commit has only couple of lines with constants changes, I assume, there is something wrong with model validation. Here is how I calculate total score: I use KFold CV, compute rmlse for each, then compute rmlse between vector or cv scores (from each of k-folds) and zero vector. I vote, that the algorithm has mistake somewhere, but why it worked fine before? If its wrong - how total score should be calculated? I understand, that my questions are rather basic, but learning by doing seems best way for me here. I'll be glad to see references to books/articles with the problem's explanation. Thanks.",0,None,1,Tue Dec 09 2014 08:16:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11183,/competitions/bike-sharing-demand,458th
/emolson,BCI Challenge eligibility,"Hi, I posted about this in the challenge forum already, but so far there has been no official response, so I'm hoping someone notices it here. From the rules page and the information initially available on IEEE website, I had the impression that the ""invited publication"" aspect of this challenge was an additional prize, as in the Higgs competition. However, from the private response Davide posted it seems like it is instead intended to restrict the contest to the small group of people already attending a conference. You can already go on kaggle and try to compete freely without any constraint but if you want to be ranked at the end and apply for getting a prize you should submit an abstract of your contribution by january 7th and thus propose the final abstract after the deadline of the BCI competition. Then you will have to present a poster to the conference and thus register (at least one person in your team). all the participant who register and propose an abstract are eligible to the prizes and the IEEE TBME full journal publication. If this is the true situation, it ought to be posted on the rules page in 96pt flashing red text that eligibility requires a $1030 registration fee plus a trip to France. Can an administrator please confirm this, and also clarify whether non-cash prize eligible competitors will receive points/achievements.",7,silver,5,Tue Dec 09 2014 14:12:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11185,None,None
/alicemaple,Has someone tried to use the method in the paper 'intrinsic rating compendium?,"I have read thourgh the paper, and found the paper already gives a very precise prediction method. But one thing I did not understand is how to calculate the pi (the probability pi of the i-th alternative move) and p0 for the best move from the stockfish data. Someone has tried the method? Good result as in the paper?",0,None,2,Tue Dec 09 2014 22:54:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11187,/competitions/finding-elo,None
/matthieubizien,Notebook of the tutorial,"It seems like I am the first one to follow the tutorial. I made an ipython notebook, you can view it at http://nbviewer.ipython.org/github/MatthieuBizien/Bag-popcorn/blob/master/Kaggle-Word2Vec.ipynb Final score 0.84648 with bag of centroids, above the benchmark ""Word2Vec - Bag of Centroids"" :)",11,silver,5,Wed Dec 10 2014 01:31:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11189,/competitions/word2vec-nlp-tutorial,None
/adpowers,Productivity Clarification,"I am confused by what is written in the problem outline, consider the following: (Bold paragraphs are taken directly from the problem guide) -- An elf’s productivity rating changes as he completes toys. Ratings are held constant during the building of a toy and updated once the toy is complete. The rating is calculated per the required time for a toy, not per the time he spends on a toy. The above paragraph seems clear enough, if a toy requires 1 minute, but the elf spends 2 minutes on it (ie elf is rated at 0.5), then only 1 minute is used in the productivity rating. The time used in the productivity calculation will be toy_duration/elf_starting_productivity, e.g.: a 0.5-elf working on a 120-min toy uses 240 minutes in his productivity calculation. This paragraph contradicts the previous paragraph, saying that 240 minutes should be used instead of 120. If a 1.0-rated elf is assigned to work on a 120-min toy for 180 minutes, his productivity rating will only take into account the 120 minutes of needed work. For each hour worked outside of the sanctioned hours, the rest period will apply (see Working Conditions described above). Pardon me, but why would a 1.0 rated elf work for 180 minutes on a 120 minute toy if he/she is rated at 1.0? -- Can Someone please clarify the above with regard to calculating the productivity adjustment. Thanks. Nick.",3,bronze,17,Wed Dec 10 2014 01:42:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11190,/competitions/helping-santas-helpers,247th
/mquad88,Private Leaderboard,"After quite a long time, thanks to Kaggle's admins we managed to clean up the leaderboard. Here you have a screenshot of the current state of the private leaderboard (that I remember you is the one that accounts for the intermediate deadlines). We will use this thread to publish the private leaderboards periodically, so use other threads in this forum for comments! Best Max [Link]:https://www.dropbox.com/s/0pszxlpjidx8chp/pl_10122014.png?dl=0 [Link]:https://www.dropbox.com/s/wbx8itjn86j0m6n/pl_14122014.png?dl=0 [Link]:https://www.dropbox.com/s/sawbx057l5mg2m0/pl_28122014.png?dl=0 [Link]:https://www.dropbox.com/s/z9fc6f7yi385ohp/pl_05012015.png?dl=0 [Link]:https://www.dropbox.com/s/4znvqc0xc1hkn9h/pl_11012015.png?dl=0 [Link]:https://www.dropbox.com/s/z7hker787x0w0iy/pl_15012015.png?dl=0 [Link]:https://www.dropbox.com/s/2pwyblggxkv142b/pl_23012015.png?dl=0 [Link]:https://www.dropbox.com/s/ipthwxqm7jg9lz0/pl_26012015.png?dl=0 [Link]:https://www.dropbox.com/s/78puyxttdp0s1wu/pl_27012015.png?dl=0 [Link]:https://www.dropbox.com/s/98ove03t64ni1v8/pl_28012015.png?dl=0 [Link]:https://www.dropbox.com/s/l0ro5kf54l9sb7m/pl_29012015.png?dl=0 [Link]:https://www.dropbox.com/s/o388m6t20teakwc/pl_30012015.png?dl=0",0,None,2,Wed Dec 10 2014 09:59:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11193,/competitions/aui-technology-2014-competition-new,None
/adjeiinfo,Do SVM algorithms fit here?,"All, This is my first competition and real data project. I have been using SVM for toy project and wanted to use a similar approach to propose something. However I found out that the feature vectors might ended up being very long if I want to use for example the hash-trick method. For example each site_id will become a feature. I think that this is not realistic. My first run was to select some samples (1 000 000 = NumSamples) randomly. For each each feature determine the probability of this feature ( p(val) = NumberOfApperance(val)/ NumSamples) and reconstruct the feature vector replacing the each feature (val) by its probability (p(val)) but did not get meaningful improvement. Online-SVM might be a good try in case i use this hash-trick but I do not have enough experience with this yet. I would like to know if someone already tried the SVM or if you have better way to represent the feature. I will appreciate your help. Regards,",0,None,25,Wed Dec 10 2014 11:36:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11195,/competitions/avazu-ctr-prediction,778th
/lukasdrapal,Use of test data,I am a bit confused about the competition rules. Is it ok to use test data to calibrate predictions?,7,silver,21,Wed Dec 10 2014 16:14:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11196,/competitions/avazu-ctr-prediction,877th
/breytenlybaert,Gensim word2vec + cython on windows,"Hey all, I was messing about a bit in this competition on my windows computer.I managed to set up gensim word2vec with Cython without too much trouble. As asked on https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-2-word-vectors I figured I'd share the setup. I'm running Anaconda with python 2.7. I didn't have a c-compiler installed on this computer, so I downloaded mingW (http://sourceforge.net/projects/mingw/files/) and installed gcc. You can install Cython from the website (http://www.cython.org) or use Christoph Gohlke's windows installer available @ http://www.lfd.uci.edu/~gohlke/pythonlibs/#cython. Once you've got this settled, it's time to reinstall gensim (https://pypi.python.org/pypi/gensim). The most recent version of gensim (0.10.3) no longer uses pyximport. It compiles word2vec during install. This is why it is important/necessary to properly install gensim and not just add the source to your path-manager (which was my initial issue). For those not used to installing python packages, simply browse to the downloaded folder, [shift]-rightclick => Open command prompt here, ""python setup.py install"". Once you've managed this gensim should be able to use cython. Results for me (on a very mediocre computer): Without acceleration: ~ 390 words/sWith acceleration: ~80000 words/s",10,bronze,21,Wed Dec 10 2014 18:01:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11197,/competitions/word2vec-nlp-tutorial,None
/flexicurity,NPR article on this challenge!,A Crowd Of Scientists Finds A Better Way To Predict Seizures... http://www.npr.org/blogs/health/2014/12/10/369654830/a-crowd-of-scientists-finds-a-better-way-to-predict-epileptic-seizures,3,bronze,1,Wed Dec 10 2014 18:36:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11198,/competitions/seizure-prediction,None
/dnaeye,Probability percentages for predict function in R,How can I get the probability percentages that are required for submission by using the predict function in R? I tried looking up the help documentation for the function in R but didn't see anything related to percentages.,0,None,2,Wed Dec 10 2014 19:39:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11199,/competitions/avazu-ctr-prediction,None
/avishek,submission failing 'cause 4560000+ ids not matching after upload,"Hi...while uploading submission, an error shows up saying 4560000+ are not matching and then gives several ids which are actually not matching. I checked some of the ids which are showed by the error and all of them matches with both submission.csv and the test data. Has anyone else faced this problem? Would appreciate if thrown some light on this. Thanks, Avishek",1,None,5,Thu Dec 11 2014 00:13:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11201,/competitions/avazu-ctr-prediction,64th
/ldpckaggle,elf's working time,"It is clear that if a elf can take a toy at 18:59 and must work on it until it's done. My problem is can it take a toy at any unsanctioned time(ie, 19:04)?",0,None,1,Thu Dec 11 2014 07:11:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11202,/competitions/helping-santas-helpers,None
/ldpckaggle,productivity,"I am a little confused that if a toy's required time is 1.5 minutes, we count the required time to be 2 or just 1.5?",1,bronze,1,Thu Dec 11 2014 07:16:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11203,/competitions/helping-santas-helpers,None
/ldpckaggle,elf's productive rate,"When an elf keep working during the sanctioned time, its productive rate can be 4.0. If it keep working this way, can its productive rate keep going like the formula p=p′∗(1.02)n tells or just stays at 4.0. So is with the case 0.25",0,None,9,Thu Dec 11 2014 08:11:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11204,/competitions/helping-santas-helpers,None
/mpearmain,Missing Link,"Looks like you are missing the link in your final thoughts (part 4) for: "" In this paper, an algorithm called Paragraph Vector is used on the IMDB dataset to produce some of the most state-of-the-art results to date.""",1,None,1,Thu Dec 11 2014 09:04:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11205,/competitions/word2vec-nlp-tutorial,None
/alessandrobaggio,Change in MAP@5?,"Since yesterday there has been a change in the evaluation of our submission.... It seems that we came back to the original formula of MAP@5, the one that average over the number of recommendation instead of the number of relevant items... Did you change anything or is something related to kaggle?",0,None,6,Thu Dec 11 2014 10:32:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11206,/competitions/aui-technology-2014-competition-new,2nd
/emilyl,R ff package tutorial,"Hallo everybody, I'm looking for R ff package tutorial for my master thesis. I have a little bit experience with R but I never use it for very big data set. I've heard that it's possible to solve big data problem with ff package, therefore I'm looking for some corresponding tutorials. In google I haven't found useful informations for that, maybe anybody of you can help me. thank you very much... nan",0,None,19,Thu Dec 11 2014 16:05:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11208,/competitions/avazu-ctr-prediction,None
/datingdata,variety has too many values,"Varieties such as site_id, site_domain,app_id,app_domain have too many values, how to deal with them.",0,None,7,Thu Dec 11 2014 17:20:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11209,/competitions/avazu-ctr-prediction,None
/jiweiliu,Required code and document,"Sorry for doing this late. It was so challenging for us to reproduce the result. We finally passed the review yesterday and the solution is reproduced successfully. Please find the code in [Link]:https://github.com/daxiongshu/kaggle-tradeshift-winning-solution. The document is attached. Using our 8-core 32-GB server, it took a week to generate the final ensemble solution. If more machines are available and processes are run fully concurrently, we expect it to finish within 60 hours. Thank Tradeshift and kaggle for organizing this wonderful contests. And thank all kagglers for sharing wonderful ideas and approaches. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/60041/1813/TradeshiftTextClassification.pdf",4,bronze,6,Thu Dec 11 2014 20:52:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11210,/competitions/tradeshift-text-classification,1st
/mothy270006,Starting off for university project,"Hi, starting off an attempt at this as a university project (new to Data Analytics so never going to get near the top!) anyway, my initial analysis has lead me to a few conclusions. The total working hours are 26003950765, so the lower bound excluding efficiency would be 132* years and including ""perfect"" efficiency of 4 all the time would be 33*years (*rounded) Since for example row '2032434' has a duration of '47473' I am going to have to work at least a elf for just over 8 days solidly (and then give him one hell of a break!) The current high score of 1273164785.2574 (assuming all 900 elves used) must be just over 356 years? Are these conclusions correct(ish)? I realise this is a hard project to start DA on and I embrace the challenge simply for the learning process.",2,bronze,4,Fri Dec 12 2014 00:13:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11211,/competitions/helping-santas-helpers,None
/jiweiliu,"hi, MLCLASS_xx teams","Hi there, just curious, what class are you taking? : )",0,None,7,Fri Dec 12 2014 00:30:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11212,/competitions/avazu-ctr-prediction,60th
/tavish,What is the best score people have reached using FICO tool,What is the best score someone has reached using the FICO tool? I want to understand if it is worth going through the installation etc. Any help will be appreciated.,1,bronze,4,Fri Dec 12 2014 05:36:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11213,/competitions/helping-santas-helpers,24th
/zhangjunyan,Do neural network suitable here?,I tried neural network. Seems neural network is totally useless here. May be I have something wrong in network parameters. Can anybody give me direction?,1,None,5,Fri Dec 12 2014 06:00:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11214,/competitions/avazu-ctr-prediction,None
/ldpckaggle,elf's rest time,"If an elf worked from 9:00,2014/01/01 to 19:00,2014/01/02, when can it begin to work on the next toy?",0,None,4,Fri Dec 12 2014 07:42:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11215,/competitions/helping-santas-helpers,None
/datingdata,python error,if train[train[i]==j].shape[0]<10: # let's say 10 is the threshold train[train[i]==j][i]='dummy' # replace it with any value you want i find that the value of train[trian[i]==j][i] didn't changed. i don't know why,1,None,3,Fri Dec 12 2014 10:29:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11216,/competitions/avazu-ctr-prediction,None
/ankitj,NLP Tough Problem,"Hello, I am working on a problem where I don't have labeled dataset. Does anybody know if word2vec representation of a data set be used to generate a unsupervised sentiment analysis of the dataset. Any pointers in this regard will be definitely helpful. Ankit",0,None,1,Fri Dec 12 2014 20:04:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11219,/competitions/word2vec-nlp-tutorial,None
/joseadiazg02,SMOTE tiempo de ejecución. ,"Gente, ¿el SMOTE cuanto os suele tardar? ¿Que lleve casi 24 horas no es normal no?",0,None,2,Fri Dec 12 2014 21:21:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11220,/competitions/ugr14-preprocessing-for-protein-structure-prediction,6th
/anujamkelkar,Reading data in MATLAB,How to read this data in MATLAB? csvread doesn't work!,0,None,4,Sat Dec 13 2014 02:26:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11221,/competitions/avazu-ctr-prediction,798th
/dangermax,Evaluation Exception: Toy 10000000 was completed at minute 275300263,Has anyone encountered an error similar to this? Evaluation Exception: Toy 10000000 was completed at minute 275300263,0,None,2,Sat Dec 13 2014 05:03:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11222,/competitions/helping-santas-helpers,186th
/gangbeng,why submission score is so diff from my cv,"I have a score of 0.83+ on my own lab,but only get 0.77 when submission ,Is there anything wrong with it ,or other reason??",0,None,2,Sat Dec 13 2014 07:29:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11223,/competitions/titanic,None
/adamvarga,beküldendő formátum,"Pontosan milyen formátumban várja a Kaggle a beküldendő adatokat? Próbáltam tabbal, pontosvesszővel, '|'-al, szóközzel, de egyik szeparátort sem szereti.",0,None,1,Sat Dec 13 2014 18:05:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11225,/competitions/data-mining-technologies-final-home-assignment,None
/vinodg,Number of observations in submission file Issue,"Hi,I have used following code for submission. My model name is ""clf"". I have used only 2 variables here for illustration. data_test = pd.read_csv('test_rev2.csv', dtype={'id': str}) X_test = data_test.ix[:,('site_id', 'device_ip')] proba = clf.predict_proba(X_test)proba = pd.DataFrame(proba[:,1])proba.columns = [""click""] score_data = pd.concat((data_test[""id""], proba), ignore_index=True , axis = 1)score_data.columns = [""id"",""click""] score_data.iloc[0:4577464,:].to_csv(""Submission.csv"", index = False, dtype={'id': str}) There are 4,769,401 obs in test data set. Why submission file require only 4,577,464 obs. Is there any requirement about which ""id"" should be in csv file? I am getting the following error: ERROR: Unable to find 4563178 required key values in the 'id' column ERROR: Unable to find the required key value '10000174058809263569' in the 'id' column ERROR: Unable to find the required key value '10000182526920855428' in the 'id' column ERROR: Unable to find the required key value '10000554139829213984' in the 'id' column ERROR: Unable to find the required key value '10001094637809798845' in the 'id' column ERROR: Unable to find the required key value '10001377041558670745' in the 'id' column ERROR: Unable to find the required key value '10001521204153353724' in the 'id' column ERROR: Unable to find the required key value '10001911056707023378' in the 'id' column ERROR: Unable to find the required key value '10001982898844213216' in the 'id' column ERROR: Unable to find the required key value '10002000217531288531' in the 'id' column.",0,None,3,Sat Dec 13 2014 19:54:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11226,/competitions/avazu-ctr-prediction,1393rd
/goonerholic,Edx Anaytics Edge Course Material,"Hi, The Archived course material was taken down sometime last week. Has anyone saved/downloaded last year's Edx Analytics course material? Course Link: https://www.edx.org/course/analytics-edge-mitx-15-071x-0#.VIyYKKSUf20",0,None,6,Sat Dec 13 2014 20:53:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11227,None,None
/del=444c9806405403bd,Hardware limitation for the winner?,I am wondering if the winner could use any kind of device such as cloud computing services?,0,None,1,Sat Dec 13 2014 21:26:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11229,/competitions/avazu-ctr-prediction,None
/del=43048f5b4c13f32d,Bayesian Reasoning and Machine Learning - study group?,"Hello fellow Kagglers, I'm a CS student who wants to study more advanced topics in ML. So far I have completed the following courses: Machine Learning by prof. Ng (MOOC) Neural Networks for Machine Learning by prof. Hinton (MOOC) Single/Multivariable Calculus (University) Linear Algebra (University) I've also studied from additional materials and I'm working on my coding skills on a regular basis. I would like to understand all chapters and solve all exercises from the following, free textbook: [Link]:http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.Online by David Barber (from University College London). I find this task difficult to complete on my own. The deadline is 1st of June (or July). I didn't know where to look for help, so I posted here, hope it's fine. Also, I've never tried to participate in any on-line study group or to study with someone via net, so I don't even know if my idea is reasonable. Either way, if You find it interesting, just send me an e-mail via Kaggle and we'll try to figure it out ;) Greetings, M.E.",4,bronze,9,Sun Dec 14 2014 03:13:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11230,None,None
/anujamkelkar,Number of submissions allowed per day,"Hi, This is my first Kaggle competiiton. I wish to know how many submissions are permitted per day.",0,None,2,Sun Dec 14 2014 06:29:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11231,/competitions/avazu-ctr-prediction,798th
/rock4269082,why random forest hit  .60 ?,"Hi,Guys! I am beginner. I have done all steps in Random Forest tutorial, but only got 0.6 success rate! the columns of training data are: Survived 891 non-null int64Pclass 891 non-null int64SibSp 891 non-null int64Parch 891 non-null int64Fare 891 non-null float64Gender 891 non-null int32Em 891 non-null int32AgeFill 891 non-null float64FamilySize 891 non-null int64Age*Class 891 non-null float64 where, the 'Em' is 'Embarked' transferred to numeric. the Random Forest function is : forest=RandomForestClassifier(n_estimators=100)forest=forest.fit(trainData[0::,1::],trainData[0::,0])output=forest.predict(testData) I can not get .76, like others do in the leaderboard. So what is something wrong? kindly help",0,None,1,Sun Dec 14 2014 06:56:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11232,/competitions/titanic,None
/bensolucky,Private / Public Split - Chronological?,"Hi - question for the admins or any competitors who have turned up some clues. Is the leader board split chronologically (i.e. first 4-5 hours public, the rest private), split by some other method or is it just sampled randomly? Thanks",3,bronze,1,Sun Dec 14 2014 17:45:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11233,/competitions/avazu-ctr-prediction,None
/jeffhebert,Seeking methods to speed up toy selection in R,"Thanks to skwalas, I've been able to reproduce the naive solution in R. It takes about 40 minutes which works out to about 240 milliseconds per toy. Now I am working on a toy selection function, but my best option takes over 700 milliseconds. Below are two of the functions. The goal is to find the ToyId with the longest duration less than the mins_rated value. For function a1 I am using data.matrix object, and this function takes ~1 second. For function dt2 I am using a data.table object and dplyr for filtering and sorting. dt2 takes ~15 seconds, but all of that time is used in the top_n () call. I've also tried splitting up the toys data into smaller pieces. This speeds up the code, but I would need to break it down to a thousand smaller sets to get reasonable speed. For example, 10 pieces cuts time from 1 second to 0.8 seconds. 100 pieces cuts it to ~0.6. I need this part of the code to run less than 0.2 seconds. a1 <- function(mins_rated = 600){ d <- test_dat[,'Duration'] * (1-test_dat[,'finished']) idx <- which(d <= mins_rated) current_toy <- idx[which.max(test_dat[idx,'Duration'])] return(current_toy)} dt2 <- function(mins_rated = 600){ d <- toys_dt %>% filter(Duration <= mins_rated & finished==0) %>% top_n(n=1, wt=Duration) current_toy <- d$ToyId[1] return(current_toy)} Thanks! Jeff",0,None,5,Sun Dec 14 2014 18:33:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11234,/competitions/helping-santas-helpers,104th
/dmitriyguller,Question about the sample solution,"I'm totally new to Python, so I just wanted to step through the naive solution to see how it all works. I ran into something that puzzles me greatly. On the first work day, there is already a backlog of more than 900 toys by 9 am, so you would think at the beginning, the toy ID and the elf ID would be exactly the same for the first 900 toys. That's indeed what's happening up until toy 762, when it is assigned to elf 790. I would think that with the heap item being defined as the tuple of starting time and the elf object, there should be no sort instability, and the elves should line up in order of their ID number when taking the toy assignment. What's going on here?",0,None,2,Mon Dec 15 2014 00:04:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11235,/competitions/helping-santas-helpers,259th
/innovativegirish,Evaluation Exception: ...... rating = 0.3079.,"Hi All, I'm trying to submit my output file but getting the below message. Evaluation Exception: Toy 43727 is not complete: startMinute = 3660, workDuration = 10, elf = 387, rating = 0.3079. I'm worried about the message saying rating = 0.3079... Any rating going below 0.5 should be capped to 0.5 right ? Am i missing something ? Can anyone please help me with what has exactly gone wrong here... I see the following entry in my output file ToyId,ElfId,StartTime,Duration 43727,387,2014 1 3 13 0,10",0,None,3,Mon Dec 15 2014 00:21:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11236,/competitions/helping-santas-helpers,223rd
/jfkingiii,The sockpuppets have arrived...,"I see several large teams with inexperienced members. And I see new novice accounts getting good scores with few submissions. If you are new to kaggle, please be aware that at the end of the competition the submissions will be compared and if the admins can determine that someone has submitted from multiple accounts, including an account other than their team account, both the dummy account and the team account will be removed from the leaderboard. They won't care if it was an innocent mistake, or that it didn't make a difference in your final result.",5,silver,6,Mon Dec 15 2014 01:38:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11237,/competitions/avazu-ctr-prediction,100th
/jianimao,"R problem: Error in newdata[, object$scaled, drop = FALSE] :    (subscript) logical subscript too long","Help. I am using svm in R doing predictions. Everything was fine when I applied svm on training data. But ""Error in newdata[, object$scaled, drop = FALSE] : (subscript) logical subscript too long"" occurs when I applied svm on testing data. Why is this happening?? Any idea? > obj<-svm(survived~.,data=d,cost=1,gamma=1)> dpredictions<-predict(obj,d)> mean(d$survived==dpredictions)[1] 0.9113356> tpredictions<-predict(obj,t)Error in newdata[, object$scaled, drop = FALSE] : (subscript) logical subscript too long",4,None,2,Mon Dec 15 2014 09:40:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11239,/competitions/titanic,None
/inversion,There goes my holiday,"This puts me in 3 active competitions (Avazu, BCI, Driver) Time to cancel the holiday party. :-) (It's a really good problem to have!)",3,bronze,7,Mon Dec 15 2014 15:51:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11241,/competitions/axa-driver-telematics-analysis,903rd
/joshdsullivan,Getting started - a tutorial,"ok Kagglers, did you check out the getting started tutorial for the National Data Science Bowl? The tutorial at https://www.kaggle.com/c/datasciencebowl/details/tutorial gives you step-by-step through a simple model to distinguish different types of plankton and demonstrate some tools for exploring the image dataset. Check it out.",29,gold,21,Mon Dec 15 2014 15:55:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11242,/competitions/datasciencebowl,None
/adjgiulio,What is a trip?,"How do you define a trip? I.e. if I go to work at 8AM and come back home at 5PM, does that count as two one-way trips or as one round-trip? How about a trip to the grocery store, where I'm out and back in the car in less than 20 minutes? My point is, how do you define the end of a trip? Is it based on a motionless vehicle for x continuous minutes or on sensor data that indicate the engine has stopped, or something else? Also, are trips for a given driver ordered by time, or are they randomly sorted?",3,bronze,7,Mon Dec 15 2014 18:20:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11243,/competitions/axa-driver-telematics-analysis,98th
/adjgiulio,This data is freaking me out...,Feels like Sauron is watching me... [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/60243/1821/trips.png,8,silver,7,Mon Dec 15 2014 18:22:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11244,/competitions/axa-driver-telematics-analysis,98th
/innovativegirish,"Toy 24744 is not complete: startMinute = 2229, workDuration = 49, elf = 137, rating = 0.8156",Guys getting this exception .. kindly help.. I see a complete mismatch on workDuration front,0,None,10,Mon Dec 15 2014 18:28:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11245,/competitions/helping-santas-helpers,223rd
/michaelkneier,"Beat the benchmark with scikit-learn (low memory, ~.403)","Hi all, Here is my github repo for a beat-the-benchmark model that is has a lot of room for adaptation (especially regarding feature engineering). It should run on anyone's beat-up 15-inch macbook pro ;) https://github.com/mkneierV/kaggle_avazu_benchmark The README outlines simple steps to use the model. The model works as follows: 1) generator to read in the dataset 2) subsample the negatives 3) hash the features 4) acumulate train samples into batches 5) fit a SGD logistic regression 6) correct the intercept to account for the subsampling Tweaking the negative subampling rate, dataset size, and n_iter can all drive more performance. Also, go wild with the SGD model's parameters.",24,gold,27,Mon Dec 15 2014 18:55:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11246,/competitions/avazu-ctr-prediction,590th
/kazanova,Interested in teaming up?,"Hi, I've never done image analysis / prediction before. I was wondering if anybody with some experience ( and patience!) is willing to join forces with me. I am really eager to try it out !",9,bronze,35,Mon Dec 15 2014 19:49:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11248,/competitions/datasciencebowl,102nd
/laurikoobas,The quantity of raw data,"... take a look at the sampleSubmission.csv. See the number of lines there? 547200 (+1 for header). Well, there's exactly the same number of data files, totaling around 5GB in total (the extraction is still ongoing). It's 2736 folders by 200 files in each folder.",1,bronze,3,Mon Dec 15 2014 20:39:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11249,/competitions/axa-driver-telematics-analysis,402nd
/amitgal,"what are the units of x,y?",is it meters?,0,None,11,Mon Dec 15 2014 21:16:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11250,/competitions/axa-driver-telematics-analysis,None
/gidonro,Using external data,"It seems that the goal of this challenge is of high importance. As stated in the description ""This is your chance to contribute to the health of the world’s oceans, one plankton at a time"". That is why I don't understand the restrictive external data policy. Wouldn't it be preferable that the best possible achievable model will be utilized? (which may or may not require external data sources). Thank you for this challenge and for the opportunity!",1,None,4,Mon Dec 15 2014 21:22:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11251,/competitions/datasciencebowl,None
/jialunhe,stuck in the traffic?,Can we assume light traffic condition for all the trip data? What about the speed limit? similar for every trip?,1,bronze,2,Mon Dec 15 2014 21:51:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11252,/competitions/axa-driver-telematics-analysis,600th
/mmmm10,driver = drive & car ?   (does driver drive same car)?,Are we assuming that drivers do not switch cars? Or at least do not drive industrial trucks?,4,bronze,2,Mon Dec 15 2014 23:25:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11253,/competitions/axa-driver-telematics-analysis,None
/del=08ec6efce41bd35c,Rotation and scaling of data,"The description says: ""the trips were centered to start at the origin (0,0), randomly rotated, and short lengths of trip data were removed from the start/end of the trip."" Does this mean that each trip was given a separate, random rotation; or that all trips were put through a single random rotation (that was equal for all trips)? The purpose of the question is to determine whether location information of multiple trips can be compared meaningfully. Thanks, -Tom",3,bronze,15,Tue Dec 16 2014 00:17:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11254,/competitions/axa-driver-telematics-analysis,None
/nigelcarpenter,Journey or driving style matching?,"Visual inspection shows you could have a reasonable guess at 'alien' drivers by matching road segments, but is this what the competition admins really wanted? I'd hazard a guess that the intention was to identify differentiating driving style characteristics. Attempts at anonymizing journey's (rotation, flipping and truncating) may not have been good enough to prevent journey matching being an important part in the winning submission?",2,bronze,3,Tue Dec 16 2014 01:57:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11255,/competitions/axa-driver-telematics-analysis,395th
/alejandrozarate,Looking for a team,This is my first Kaggle competition and I would like to join someone else to form a team. I am located in NYC. I have decent experience in data science developing models in R. cheers AZ,1,bronze,10,Tue Dec 16 2014 02:33:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11256,/competitions/axa-driver-telematics-analysis,None
/clmf220693,Looking for a partner/team?,"Hi, I have some machine learning experience but I am not really deep into image processing. I would like to try this challenge for the hack of it and I think it would be fun to work with others. Anybody interested?",0,None,12,Tue Dec 16 2014 06:45:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11258,/competitions/datasciencebowl,628th
/alyaros,"Part 2, Attempt 2 - Using KMean to cluster the words in the word2vec space - Question","How does the ""scikit-learn K-Means"" calculates the distance between words? how does it know to use the distance as it is defined in the word2vec calculations\space? Does it calculate the distance based on the word or its word2Vec (Vector) representation?",0,None,1,Tue Dec 16 2014 08:17:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11259,/competitions/word2vec-nlp-tutorial,None
/asterios,Is there any way to evaluate the solution locally?,"Of course, you cannot calculate the ROC area. But would it be possible, in some way, to know if your current solution is an improvement over the previous one (without using Kaggle leaderboard)?",0,None,3,Tue Dec 16 2014 10:49:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11260,/competitions/axa-driver-telematics-analysis,None
/del=9cd384885081cb81,Beat the benchmark with 'shallow' learning (0.95 LB),"This may be going against the spirit of this competition, but it seems that it is pretty easy to smash the 'deep learning' score using a much simpler model. Run linear.py in same folder as KaggleWord2VecUtility, from the starter code. This code will probably be familiar to some Kagglers, it is Abhishek's Evergreen model. It uses tfidf on the full dataset to vectorize the input words, then a Logisitic regression model to predict the output scores. CV/LB score ~ 0.95. If your computer doesn't have the RAM, limit the number of features in the TfidfVectorizer. I don't want to be harsh, but as someone who has become quite interested in deep learning recently, I have to question this tutorial - it isn't really informative as to how deep learning works. It is using a very ad-hoc clustering technique on vectors generated from a black-boxed deep learning approach, in a situation where well established techniques such as above are already known to be very powerful. This is the wrong way to approach a machine learning problem, one should always try to use the simplest methods available, and only jump into highbrow stuff when the situation really warrants it. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/60337/1824/linear.py",42,gold,31,Tue Dec 16 2014 12:15:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11261,/competitions/word2vec-nlp-tutorial,None
/epinephelus,"Very interesting but ""evil"" ?","I find the particular problem very interesting but the only application that I can think of is giving more grounds to the insurers to refuse claims of people involved in accidents. Can anyone think of some less ""evil"" applications?",0,None,7,Tue Dec 16 2014 13:37:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11262,/competitions/axa-driver-telematics-analysis,None
/udibr1,Code example for making a submission,The notebook at [Link]:http://nbviewer.ipython.org/github/udibr/datasciencebowl/blob/master/141215-tutorial-submission.ipynb shows you how to take the classifier from the [Link]:http://nbviewer.ipython.org/github/udibr/datasciencebowl/blob/master/141215-tutorial.ipynb and turn it into a submission you can upload to the leaderboard. enjoy!,13,gold,13,Tue Dec 16 2014 13:42:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11263,/competitions/datasciencebowl,11th
/infinite,Separating app and web ads?,"Since the app* features are null for web ads and site* features are null for app ads, I tried separating them by training two models and got moderate improvements on both one day and two days validation.However, the LB score just went the opposite way. Anyone had luck doing this?",1,bronze,10,Tue Dec 16 2014 15:09:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11264,/competitions/avazu-ctr-prediction,3rd
/slobo777,Unsupervised training on test data allowed?,"A good starter option, because it has a good track record with image classification, would be a convolutional neural network (CNN). CNNs can be pre-trained unsupervised e.g. by auto-encoding. Technically, this can use all the input data, so it can learn better low-level image filters if it uses the test images. There are a more test images than training images, so the effect could be significant. Is that allowed by the competition rules, or must the submission be based purely on running the training algorithm against the training images?",0,None,13,Tue Dec 16 2014 15:15:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11265,/competitions/datasciencebowl,None
/liumangtu,ValueError: Array contains NaN or infinity.,"when performing word2vec_averagevectors.py, I met the valueError: Array contains NaN or infinity. Does anyone know what is the problem?",4,None,14,Tue Dec 16 2014 15:47:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11266,/competitions/word2vec-nlp-tutorial,None
/julianhi,UnicodeDecodeError,"When I run the code from the part 2 and try to divide the reviews into sentences: sentences = [] # Initialize an empty list of sentencesprint ""Parsing sentences from training set""for review in train[""review""]: sentences += review_to_sentences(review, tokenizer)print ""Parsing sentences from unlabeled set""for review in unlabeled_train[""review""]: sentences += review_to_sentences(review, tokenizer) I get the following error: UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 in position 15: ordinal not in range(128) and it refers to the line: sentences += review_to_sentences(review, tokenizer) Does somebody know what there problem is? Thank you",2,bronze,7,Tue Dec 16 2014 16:27:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11268,/competitions/word2vec-nlp-tutorial,None
/alexlarikov,Test models without submissions,"Is anyone testing models without submitting them? Considering that there are limits on # of submissions per day, do you usually test models before submitting them? If yes, how do you do this? Are you splitting training set to get test set from it for local testing or do something else? Considering small training set like in Titanic, what % of this training set should I use as a test set? Sorry if it is too obvious or already described somewhere, but I couldn't find any guidance on this. Thanks!",7,None,6,Tue Dec 16 2014 17:50:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11269,None,None
/maxsop,Is the FeatureHasher function available in R?,"Hi folks, Is any of you know if there exist something similar (package) to the FeatureHasher function from sci-kit learn in R? I implemented one following the algo in Wikipedia, but I'm not pleased with the result. Thanks,",1,bronze,19,Tue Dec 16 2014 18:57:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11270,/competitions/avazu-ctr-prediction,515th
/jiweiliu,row order of submission?,"In submission, does the id of each instance have to be ordered exactly as sampleSubmission.csv?",1,bronze,1,Tue Dec 16 2014 19:52:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11271,/competitions/axa-driver-telematics-analysis,22nd
/phanisrikanth,Coming to terms with overfitting?,"Hello everyone, I would like to understand how are you guys ensuring you are not overfitting to the leaderboard? I am unable to arrive at a reliable validation framework. If you are resorting to cross-validation, are you making sure you generalize well on the remaining 80% of the data. I doubt that we might have a LB shakeup if we overfit like what we had in African Soil problem. Another quick question: Do you think progressive validation loss is a reliable estimate of the error? In an online setting, literature mentions that progressive validation loss is a very good estimate, but none of the Kaggle forums in this competition seem to talk about it. Spare my ignorance. Happy to learn from the fantastic peer group here!",2,bronze,5,Tue Dec 16 2014 20:41:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11272,/competitions/avazu-ctr-prediction,229th
/clustifier,Trip Length Benchmark,Have someone tried creating the trip length benchmark?,0,None,9,Tue Dec 16 2014 21:35:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11274,/competitions/axa-driver-telematics-analysis,286th
/jiweiliu,beat the benchmark,"Hi, kagglers. This code doesn't use any classifiers. Basically it just ranks trips based on their euclidean distance to the ""mean trip"" of that driver. A trip is represented by a sequence of (length of vector, angle between vectors), for vectors in a trip. Since no libraries is used, it can be accelerated by pypy, which takes about 15 mins to generate a solution. The LB score is 0.53503 Any feedback are welcome! thank you! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/60396/1827/beat_benchmark.py",9,silver,3,Tue Dec 16 2014 21:55:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11275,/competitions/axa-driver-telematics-analysis,22nd
/louify,Levels in test is not in the train,"Hello, This is my first time taking a Kaggle competition, mostly for learning purpose. My question could be naive. I am fitting a logistic regression, but when I do the prediction for the test dataset, for about half of the variables, there are a lot of levels/values in the test dataset that are not in the train datasets. Since all the variables are categorical, if a level/value is in the test but not in the train, how can I make the prediction? For example, for the device_ip, 75901 out of 107988 unique ip in the test are never present in the train. Any help would be appreciated!",1,None,3,Tue Dec 16 2014 22:01:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11276,/competitions/avazu-ctr-prediction,1223rd
/yingdali,Need your help,"Hi I am a graduate student in statistics and I am doing a classification final project. We are supposed to use at least 5 of the following algorithms: knn, Naive Bayes, Logistic Regression, Tree/Random Forest, Adaboost, lda, qda, SVM. And as a graduate student, I am expected to provide a more advanced presentation. for example:1. Read a research paper related to the dataset which you use and compare your results to the resultspresented in this paper2. Read a research paper related to a new (not discussed in class) or improved classification algorithm.Compare the classification performances of this method to others. So far, I have tried knn, Random Forest, svm, Naive Bayes and did pretty good (I am using a subset of train.csv: training 10000 obs test 1000 obs) Do you have any idea what else algorithm I should use? We were asked to use R so it is very helpful if you could tell me which package/function I should use. Thank you so much!",2,bronze,2,Wed Dec 17 2014 04:44:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11278,/competitions/digit-recognizer,None
/binghsu,Public Start Guide of Deep Network with a score of 1.382285,"Hi all, I just made a guide of how to use conv net to achieve NLL of 1.382285. On a modern GPU, it only takes 5 minute to get this result. Please check [Link]:https://github.com/antinucleon/cxxnet/tree/master/example/kaggle_bowl , and don't forget to star [Link]:https://github.com/antinucleon/cxxnet :) CXXNET is yet another neural network toolkit. It is able to run on NVIDIA GPU or CPU. If you want to run on CPU, you only need OpenCV & MKL(or OpenBlas/ATLAS) installed. No other dependence is required. PS. I made it in a hurry, so if there is any problem please let me know!",48,gold,137,Wed Dec 17 2014 05:10:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11279,/competitions/datasciencebowl,2nd
/sirguessalot,More info on false trips?,"The competition description states: ""These false trips are sourced from drivers not included in the competition data, in order to prevent similarity analysis between the included drivers."" Are these ""false drivers"" from the same household, driving the same car? Or are they entirely unrelated to the drivers in the competition data? Do we know if the fake trips for each ""true driver"" come from a single ""fake driver"" (for each true one) or multiple ones? Do the fake drivers repeat throughout the competition set?",2,bronze,6,Wed Dec 17 2014 08:12:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11280,/competitions/axa-driver-telematics-analysis,538th
/heisenberg5,Submission Error,"Hi I am getting the error while submitting thesubmit.csv file. > head(submit) datetime count1 2011-01-20 00:00:00 1172 2011-01-20 01:00:00 363 2011-01-20 02:00:00 364 2011-01-20 03:00:00 655 2011-01-20 04:00:00 656 2011-01-20 05:00:00 135> excel : datetime count2011-01-20 00:00:00 1172011-01-20 01:00:00 362011-01-20 02:00:00 362011-01-20 03:00:00 652011-01-20 04:00:00 65 Error screen shot in attachment. I don't have column 21 and negative numbers in my output file. data type : > str(submit)'data.frame': 6493 obs. of 2 variables: $ datetime: chr ""2011-01-20 00:00:00"" ""2011-01-20 01:00:00"" ""2011-01-20 02:00:00"" ""2011-01-20 03:00:00"" ... $ count : int 117 36 36 65 65 135 116 103 113 98 ...> Pls help [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/60443/1829/Error.png",0,None,2,Wed Dec 17 2014 09:10:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11281,/competitions/bike-sharing-demand,474th
/lisalisanka,No data received - submission problem?,"I have been trying to upload a submission a few times, and I can't get to the light bulbs... The system is saying that my server is not sending data. But I thought the solution was uploaded - took as much time as ever counting the percentages, slowly-slowly. Didn't have any problems until last night. Any ideas? Thanks",0,None,2,Wed Dec 17 2014 10:38:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11282,/competitions/helping-santas-helpers,62nd
/ssoulier,Score 0.66 with logistic regression,A simple R code to score 0.66. The execution time is about 1 hour. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/61549/1839/simple_logistic_model.R,51,gold,83,Fri Dec 19 2014 21:30:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11299,/competitions/axa-driver-telematics-analysis,120th
/coolrulz,Implementing in c++ or Python valid?,"i had a very basic question: can i implement the solution completely in Python or c++ and still qualify for the award? My reading of the rules made me think I had to use fico but the discussion forums has people discussing solutions in R, Python, c++ etc. so checking.",-1,None,1,Sat Dec 20 2014 02:40:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11300,/competitions/helping-santas-helpers,None
/chifangjang,using lynx to download the files,"hi all , l used lynx to download the files from a remote EC2 instance .when i login by google , pass the verifyit show's"" Kaggle.com and Google will use this information in accordance with their respective terms of service and privacy policies. (BUTTON) Accept DISABLED form submit button. "" but isn't working to enter the accept button . i found the problem is ""Lynx doesn't support JavaScript"" , is there another way to pass through the problem??",0,None,1,Sat Dec 20 2014 05:32:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11301,None,None
/asimkievich,anyone has successfully installed vowpalwabbit?,"Hi there, I am not sure if this is the proper place to address this issue, but vw installation is driving me nuts. I followed all the steps in http://mlwave.com/install-vowpal-wabbit-on-windows-and-cygwin/, successfully cloned the code, but the problem is when I run the make. Error message below. If anyone can help, I would highly appreciate it. Thanks! A $ makeMaking all in vowpalwabbitmake[1]: Entering directory '/home/Alejandro/vowpal_wabbit/vowpalwabbit'make all-ammake[2]: Entering directory '/home/Alejandro/vowpal_wabbit/vowpalwabbit'/bin/sh ../libtool --tag=CXX --mode=compile g++ -DHAVE_CONFIG_H -I. -I/usr/include -I/include -O3 -fomit-frame-pointer -ffast-math -fno-strict-aliasing -D_FILE_OFFSET_BITS=64 -DNDEBUG -Wall -pedantic -std=c++0x -MT global_data.lo -MD -MP -MF .deps/global_data.Tpo -c -o global_data.lo global_data.cclibtool: compile: g++ -DHAVE_CONFIG_H -I. -I/usr/include -I/include -O3 -fomit-frame-pointer -ffast-math -fno-strict-aliasing -D_FILE_OFFSET_BITS=64 -DNDEBUG -Wall -pedantic -std=c++0x -MT global_data.lo -MD -MP -MF .deps/global_data.Tpo -c global_data.cc -DDLL_EXPORT -DPIC -o .libs/global_data.oIn file included from comp_io.h:7:0, from global_data.h:17, from global_data.cc:13:io_buf.h: In member function 'virtual int io_buf::open_file(const char*, bool, int)':io_buf.h:72:25: error: 'fileno' was not declared in this scope ret = fileno(stdin); ^In file included from global_data.h:17:0, from global_data.cc:13:comp_io.h: In member function 'virtual int comp_io_buf::open_file(const char*, bool, int)':comp_io.h:28:34: error: 'fileno' was not declared in this scope fil = gzdopen(fileno(stdin), ""rb""); ^global_data.cc: In constructor 'vw::vw()':global_data.cc:295:32: error: 'fileno' was not declared in this scope stdout_fileno = fileno(stdout); ^Makefile:619: recipe for target 'global_data.lo' failedmake[2]: *** [global_data.lo] Error 1make[2]: Leaving directory '/home/Alejandro/vowpal_wabbit/vowpalwabbit'Makefile:390: recipe for target 'all' failedmake[1]: *** [all] Error 2make[1]: Leaving directory '/home/Alejandro/vowpal_wabbit/vowpalwabbit'Makefile:503: recipe for target 'all-recursive' failedmake: *** [all-recursive] Error 1",1,bronze,5,Sat Dec 20 2014 16:36:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11304,/competitions/avazu-ctr-prediction,42nd
/del=444c9806405403bd,File not in the   presented format,For driver 1117 trip 1 contains more then 200 coordinates from GPS . Has someone solved this issue?,0,None,6,Sat Dec 20 2014 16:57:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11305,/competitions/axa-driver-telematics-analysis,None
/jroberayalas,Submission error in Kaggle,"Hi everyone, I'm trying to make a submission in Kaggle, but for some reason I get the following error. Does anybody know how to solve this? The value 'NA' in the key column 'datetime' has already been defined (Line 3871, Column 1) Thanks!",0,None,1,Sun Dec 21 2014 02:22:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11307,/competitions/bike-sharing-demand,2240th
/yohheisomeya,"What is ""banner_pos""?","What is ""banner_pos""? I can't understand how I consider with ""banner_pos"".",0,None,2,Sun Dec 21 2014 05:55:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11308,/competitions/avazu-ctr-prediction,1389th
/davidbess0,Searching for keys that do not exist?,"When I try and upload, I get this error message ERROR: Unable to find 4563025 required key values in the 'id' column ERROR: Unable to find the required key value '10000174058809263569' in the 'id' I checked the raw test and sampleSubmission datasets. and they do not seem to contain: id 10000174058809263569. I am using following script to output my submission: write.csv(baseline, file=""baseline.csv"", quote = FALSE, row.names = FALSE) does the precision of the click column matter, I am going to about 10 decimal places, is this too long? Wondering what could possibly be the problem. Upon inspection, all of my data appears to be correct? Any insight would be greatly apperciated.",1,bronze,4,Mon Dec 22 2014 00:37:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11309,/competitions/avazu-ctr-prediction,1374th
/scottdh,SantasHelpers_Evaluation_Metric.py  Memory Error,"Hello, Has anyone run into a memory error when trying to run the SantasHelpers_Evaluation_Metric.py on the sample solutions from git hub ? Any suggestions on making it less memory hungry ? Thanks Scott",1,bronze,1,Mon Dec 22 2014 02:09:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11310,/competitions/helping-santas-helpers,20th
/melevir,Testing strategy,"How can I get some kind of local score? Since there is no labeled data, I can't run usual cross-validation procedure. The only option I see is blindly submitting, but it's bad because, well, it's bad and because of overfitting public data. Is there some solution to this problem? Advices? Thanks.",0,None,4,Mon Dec 22 2014 13:37:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11311,/competitions/axa-driver-telematics-analysis,None
/dataying,Does the sampling strategy matter?,"In the description, it is said that the click and non-click data is sampled according to different strategies. I am wondering whether there exists bias or not. More importantly, if the training data and test data are sampled according to different strategies, how can we obtain a reliable prediction?",0,None,2,Mon Dec 22 2014 14:56:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11312,/competitions/avazu-ctr-prediction,463rd
/del=444c9806405403bd,Ethical  question,"I noticed some people enrolled in this 30k$ competition are intern's of the the company that started the competition, so other competitors could suspect something unusual.What about that?",1,bronze,5,Mon Dec 22 2014 18:35:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11317,/competitions/axa-driver-telematics-analysis,None
/inderpuneetsingh,Query about productivity,Guys I have a query and need your opinion This might be a stupid question...The competition says each elves start the year with rating of 1. Is it for 2014 or for each of the following years?? Because the code will change significantly if its for each year??,0,None,3,Mon Dec 22 2014 20:27:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11318,/competitions/helping-santas-helpers,242nd
/saurabhbhatt,Doubt in result upload,Should I upload the results for drivers present in the sample submission file or present in the data set?,0,None,5,Mon Dec 22 2014 22:30:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11321,/competitions/axa-driver-telematics-analysis,None
/vincentjost,Your opinion: Rudolph Prize and Vicray Auctions ? ,"I would like to address some game theoretic aspects raised by the rules of the Rudolph Prize. Imagine you hold a very good solution (way better than the current best available value from leaderboard). Would you like to submit it ? Well, there are two reasons for not doing so: 1) You don't want to give insights to other participants, on which value they should target. There is a 10k$ prize to compete for and the less information they have, the better your chance of winning the prize. I can advocate this, since I won a computer contest, after being able to qualify poorly, but only thanks to other teams solutions values which helped me tracking some bugs (and bad choices of algorithms). Without the help of other teams solution values, there are some issues that we might never search for... 2) Regarding the Rudolph Prize, you may corrupt your solution, so as to make it just better than the best known solution (just delay the end of the last Toy of your schedule to do so...) then submit such a best known solution everytime you lose the first place on the leaderboard. Of course this requires a bit more work, but might be motivated enough with 1). __ I therefore would like to point out that blinding the value of the best known solution might encourage participants not to corrupt their best known value to kaggle. If only the second best known solution value was maid public (but the name holding the first place was still public as well of course), then a participant with very high quality solution value would have less incentive to corrupt his best solution. Indeed, this type of Vicray auction simulates the strategy sketched above in point 2). If there was a lot of money to win, or if I was participating to several contests of kaggle using the same rules as the current Rudolph Prize, I might script something to submit automatically corrupted best solutions... So maybe there is something to think about... I would like to know how other participants feel about the games created by the Rudolph prize, and about the idea of hiding the value of the best known solution (again, just the top 1, not the other values). Do you have similar issues to point out ? other ideas to propose ? counter-argument about why a ""Vicray"" Leaderboard would be a bad idea ? Participants might still want to control the value that they submit, which may help confuse the other top competitors, after all, you don't need to hold the first place 90% of the time... You just need to hold it more than anyone else... For example, if you hold it for the first 2 weeks, you then might not submit anything again before January 7th ! Another line of idea would be to grant ""points"" not only for the time spent on the first place, but also depending by how much you have improved the record. It's a tricky issue, and I don't want to enter into details. I Just want to mention that the theoretical game created by the contest is an interesting topic :) (It might be only theoretical for this Santa contest, since it could turn out that there is not much structure/improvement to find about the problem when you are already on the current podium...) Merry Christmas !",5,bronze,5,Tue Dec 23 2014 10:18:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11323,/competitions/helping-santas-helpers,405th
/simonecolombo,Error in MovieMeta.csv,"In the file MovieMeta.csv there is an error in the movie with Id=1276. This item is ""1276,And God Created Woman (Et Dieu&,"" so it's impossible to calculate the genre of the movie (for icm matrix).",0,None,2,Tue Dec 23 2014 11:04:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11324,/competitions/aui-technology-2014-competition-new,6th
/ahmedkhattab,Can an Elf start during unsanctioned time ?,I wonder if the Elf can start in an unsanctioned time or he has to wait for the next day.,1,bronze,15,Tue Dec 23 2014 12:33:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11325,/competitions/helping-santas-helpers,333rd
/dnaeye,Why does each movie show up 30 times?,"In the Minimum Word Count part of the Training and Saving Your Model section, the text mentions that each movie shows up 30 times. Why is that?",0,None,1,Tue Dec 23 2014 18:08:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11326,/competitions/word2vec-nlp-tutorial,None
/gavin12,Are there no drivers 400-999,"Hi, I just noticed that there are no directories 400-999. Have I somehow got corrupted data is is that just how the numbering works? Regards, Gavin",1,bronze,7,Tue Dec 23 2014 20:35:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11327,/competitions/axa-driver-telematics-analysis,606th
/hogwild,Mini-batch or Online SGD,"Considering the size of the training dataset, seems like mini-batch or online/stochastic gradient descent will be good options to consider. Has anyone got good results on LB with these options? Also, anyone with experience using Apache Spark? Seems like this is a good problem to try out on Spark.",0,None,4,Tue Dec 23 2014 23:23:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11329,/competitions/avazu-ctr-prediction,1108th
/stormer1120,Evaluation,Hello Fellow Kagglers! If I only generate one entry I see how a true positive rate and a false positive rate can be calculated. However it seems that multiple matched pairs will be required to generate a ROC curve and the corresponding area underneath it. One theory is that each driver will generate such a point by providing a true positive rate and a false positive rate. However in this case the curve will not be very smooth. Also the entire ROC curve seems to go from 0 to 1 in true positives and false positives. Does anyone know the procedure this contest will use to generate the ROC curve to then calculate the area under the ROC curve based on our entries? Sorry if this is obvious and I missed it. Thanks in advance.,2,bronze,1,Tue Dec 23 2014 23:34:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11330,/competitions/axa-driver-telematics-analysis,None
/hogwild,Feature vector dimension,"FYI., here are # of unique values for each feature in the training set. A feature vector built using each of the unique values would be 9,449,205 dimensional. To improve performance of scanning this vector, ""feature hashing"" will be very useful. c1: 7banner_pos: 7site_id: 4737site_domain: 7745site_category: 26app_id: 8552app_domain: 559app_category: 36device_id: 2686408device_ip: 6729486device_model: 8251device_type: 5device_conn_type: 4c14: 2626c15: 8c16: 9c17: 435c18: 4c19: 68c20: 172c21: 60",8,silver,2,Tue Dec 23 2014 23:56:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11331,/competitions/avazu-ctr-prediction,1108th
/asaini,Quadro vs GeForce GPUs for neural networks in kaggle competitions??,"Hi all, I am trying to decide between an (older) Quadro GPU and a GeForce GPU to learn/experiment with neural networks (esp. deep learning) for kaggle competitions. I would very much appreciate feedback from Kagglers who have experience with building neural networks on the suitability of either of these. It seems that NVIDIA has segmented the Quadro for data computation/scientific markets and the GeForce towards gaming/consumer markets. My experience on neural networks has so far been limited to the Andrew Ng's class on coursera (and a bunch of ""toy"" problems). At the moment, I am hesitant to use alternative approaches such as renting AWS instances (figure that would be trying to learn too many things and my laptop needs an upgrade anyway) or buying a desktop (need mobility). Any feedback would be much appreciated. Thank you. PS: The following threads might be useful for folks looking for recommendations on hardware/tools: http://www.kaggle.com/forums/t/10951/gaming-laptops-for-data-mining-comphttps://www.kaggle.com/forums/t/9444/what-hardware-for-kaggle-competitionshttp://www.kaggle.com/forums/t/2474/best-pc-specshttp://blog.kaggle.com/2011/11/27/kagglers-favorite-tools/",10,bronze,11,Wed Dec 24 2014 03:11:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11332,None,None
/oliverhan,Fico Mosel Matlab Plugin,"How could one integrate the Mosel with matlab, I can't seem to get it working by executing ""execmosel""...",0,None,3,Wed Dec 24 2014 03:34:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11333,/competitions/helping-santas-helpers,213th
/woshialex,Does anyone use caffee? How could I produce a test result?,"After learning dnn and try to use caffee, I find that there is no single document about how to produce a simple probability forecast for the test data set. All the tutorials are about how to train a dnn and how to calculate a validation score. Why there is no simple way to output the last layers's prediction? (and how)? Can anyone familiar with caffee give me an example? Thanks very much I have trained the network and could produce a validation score. But I don't know how to save the last layers output (softmax). I tried to use the tools/extract_features but the output is in lmdb format and it seems its hard to translate that to a txt file...",2,bronze,3,Wed Dec 24 2014 03:53:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11334,/competitions/datasciencebowl,77th
/venkatvi,"NLP, Data Cleanup and Parallel Processing","I am a beginner at Kaggle and was interested in going through Part 1 of the tutorial. While, I tried using NLTK to cleanup my data, I did find the wait time on processing 25000 records long. I am an avid matlad user and wanted something like a parfor setup to apply the same algorithm parallel over a sequence of data. I found this: http://ipython.org/ipython-doc/stable/parallel/parallel_multiengine.html#quick-and-easy-parallelism Has any one used DirectView or have got better packages to work for the given usecase? Thank you",0,None,1,Wed Dec 24 2014 05:29:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11335,/competitions/word2vec-nlp-tutorial,None
/sunilyadav0,Not able to understand the given Data?,"I am newbie, have understanding about hadoop and R. Not able to understand what is x and y in the data set.",0,bronze,1,Wed Dec 24 2014 06:14:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11336,/competitions/axa-driver-telematics-analysis,None
/dimitriye98,Scorer complaining weirdly,"The scorer is complaining about this line in my results file: 7527,728,2014 1 1 9 45,319 and saying ""Toy 7527 is not complete"". However, toy 7527 takes 323 minutes of raw time, as given by this line in ""toys_rev2"": 7527,2014 1 1 9 37,323 Here is elf 728's only toy worked on before then: 6417,728,2014 1 1 9 0,45 which is correct according to the toys file, given that the elf is at productivity 1 to start with and thus the work is equal to the raw time: 6417,2014 1 1 8 13,45 That means that upon starting work on the toy the elf should have productivity: which gives a time for toy 7527: Rounded up that's 319, and thus I don't understand why it's complaining. Can anyone help?",0,None,8,Wed Dec 24 2014 07:24:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11338,/competitions/helping-santas-helpers,None
/wuxj1991,Risky Business Data,I am a student new to Kaggle competition. I am interested in the Risky Business competition. I would be appreciated if someone can share the data with me. Thanks a lot.,0,None,3,Wed Dec 24 2014 08:01:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11339,None,None
/gshmueli,Congratulations to the winner and top entries!,"Now that the contest has concluded, notice how close the top entries are in terms of AUC. Congratulations to the [Link]:http://www.kaggle.com/users/114978/triskelion and kudos to the teams at the top! It would be great if teams who scored at the top 10 can share their strategies: what methods? which predictors were included? did you submit probabilities or 0/1? what software did you use? any special tricks?",4,bronze,6,Wed Dec 24 2014 08:01:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11340,/competitions/predict-repeat-restaurant-bookings,None
/nehasangal,Submissions,I am new to kaggle..This is my first competition I have taken..Can I use octave? Do I need to submit only the .csv file which contains the predictions?,0,None,1,Wed Dec 24 2014 09:59:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11341,/competitions/digit-recognizer,None
/urimerhav,Is the test class distribution the same as in training?,"Hi all, Just wondering if I might be missing out on something trivial. It seems like the test set behaves very differently than my internally kept validation set. It's making the difference between a ~1.5 submission and a ~2.8 actual score. For such a large dataset with samples chosen at random, this doesn't seem reasonable. But I'm pretty sure I don't have a bug or some sort of internal leak. Did anyone else get an indication that class distribution in the test set might be significantly different than the ones in the public training set? Best, Uri",0,None,2,Wed Dec 24 2014 11:44:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11342,/competitions/datasciencebowl,44th
/ivanlobov,Adaptive learning rate for SGD,"Dear Kagglers, I've playing around with SGD algorithm for a while. It's awesome, but the problem is that you have to optimize some hyperparameters, especially learning rate and regularization. And it requires quite a deal of time. I was looking for update methods that do not require that optimization (at least talking about learning rate). I found a bunch of different methods called quasi-Newton's methods (for example, [Link]:http://jmlr.org/papers/volume10/bordes09a/bordes09a.pdf or [Link]:http://jmlr.csail.mit.edu/proceedings/papers/v32/sohl-dicksteinb14.pdf), yet they include complicated math and don't have a simple code implementation to study. So it would take a great deal of time to get them working for me. What's your experience with them? Could you recommend something less formal / complicated to read to get a good understanding of them? Is there an open source python implementation of them? Is there a kaggle competition that some of the winners used them? P.S. And yes, I do know about [Link]:http://www.magicbroom.info/Papers/DuchiHaSi10.pdf, but it still gives significantly different performance if you tweak the learning rate, in my experience.",1,None,1,Wed Dec 24 2014 15:03:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11343,None,None
/amjad85,very short trips?,I am wondering about very short trips (less than 3 meters) as in trip 111 of driver 10. Are these parking-the-car trips or what? How can these be classified in non-random way?,3,bronze,2,Wed Dec 24 2014 19:24:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11344,/competitions/axa-driver-telematics-analysis,157th
/del=444c9806405403bd,Curvature,Has anyone used curve curvature or slope to improve the result? I used average slope but with no remarkable results.,0,None,1,Wed Dec 24 2014 19:54:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11346,/competitions/axa-driver-telematics-analysis,None
/liananapalkova,Predicted probability for a driver_trip pair,"Is it allowed to assign the probability in the interval from 0 to 1, e.g. 0.8? Or should we just assign ""1"" if the trip belongs to the driver of interest, and ""0"" if the trip does not belong to the driver?",4,bronze,5,Wed Dec 24 2014 20:29:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11347,/competitions/axa-driver-telematics-analysis,468th
/cwilkes,"Relating TrainingLabels to FeedBackEvent, does the first 1 indicate when letter flashed?","Looking over [Link]:https://www.kaggle.com/c/inria-bci-challenge/forums/t/10993/relation-of-feedbackevent-to-idfeedback/58542#post58542 it looks like the ""1"" marker is related to the TrainLabels.csv. For example with the data for subject 6 session 01 (file Data_S06_Sess03) there's 60 ""1""s in the list which corresponds to the number of entries in the TrainLabels.csv file: grep S06_Sess01 TrainLabels.csv | wc -l shows 60. Looking at all the feedback numbers they are from 1 to 60. So far so good. For a FeedBackEvent array of 001010010000 does that mean that the letter flashed on at the 3rd entry? Then a time slice goes by with the first letter and then the next letter is flashed? That is up until the first 1 is seen in FeedBackEvent the test subject is sitting there waiting for the experiment to start.",0,None,1,Thu Dec 25 2014 04:12:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11350,/competitions/inria-bci-challenge,None
/soumil,How to get a greater accuracy ?,What kind of methodology are you guys using exactly ? I just solved this problem using the natural language toolkit in python (using the word frequency and the context they are used in ) .,0,None,1,Thu Dec 25 2014 04:32:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11351,/competitions/ga-ds-14-insult-detection,6th
/aaaa11,What is the meaning of the training set variables,"Hello eveyone, I am a new register, in this problem, I have some variables do not know what you mean, so I would like to ask. Such as ,Pclass,SibSp,Parch,Embarked(S,Q,C). If you can help me to explain, I will be very grateful. Thank you!",0,None,3,Thu Dec 25 2014 09:54:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11352,/competitions/titanic,None
/jvorwald,"Data description, sampling rate",The data provided appears to be x and y coordinates. Are these data points at a constant sampling rate? And what is the sampling rate,-1,None,2,Thu Dec 25 2014 16:43:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11353,/competitions/axa-driver-telematics-analysis,None
/ahmedkhattab,Clarification needed for elf's productivity ,"As in the description: ""If a 1.0-rated elf is assigned to work on a 120-min toy for 180 minutes, his productivity rating will only take into account the 120 minutes of needed work."" In what scenario can the toy take 180 minutes instead of 120 if the elf's productivity is 1?",0,None,1,Thu Dec 25 2014 19:24:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11354,/competitions/helping-santas-helpers,333rd
/eldeeb,A call for help!,"I am new to vision problems and have limited experience with image processing, and I'm using this competition as a way to familiarize myself with this type of problem as well as have an opportunity to try some of the exciting new techniques I've been reading about (Deep Nets, RBMs, Sparse-Coding, De-noising Auto-encoders, etc.). My questions are: 1- What are the potentially useful techniques for this task and where are the good (stable and easy to use) implementations? (I use R and python, but I'm willing to explore alien territories) 2- What are the common pre-processing steps that people take? (noise reduction, transformation invariance, bumping and blurring, etc.) and do they matter? 3- Is it worth it to use SIFT and similar heuristic feature extractors? I know I am asking for almost everything, and I don't expect anyone to give away their secret ingredient, but I think the problem is fairly different than identifying digits or detecting faces (by far the most common examples out there) and therefore merits a discussion. I also noticed that the scores on the LB are varying a lot, which means there are some approaches out there that are WAY better than others, so I thought it would be interesting for people to share their thoughts and experiences.",0,None,1,Thu Dec 25 2014 21:48:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11355,/competitions/datasciencebowl,202nd
/domcastro,Best R package or Python library for matching routes,I'm having trouble matching routes - flipping and rotating. Are there any packages or libraries out there that people are using? thanks,1,None,9,Fri Dec 26 2014 01:29:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11356,/competitions/axa-driver-telematics-analysis,407th
/rabeti,ROC Calculation,"The concept of an ROC and the AUC are very familiar to me from my EE studies. However, the concept of an ROC in a discrete probabilistic world is somewhat vague to me. In this particular case, are we taking a single value for both sensitivity (TP/(Drivers*200)) and specificity and drawing a straight line between (0,0) -> (X,Y) -> (1,1) and then calculating the AUC? If you give 0.4 as the probability of a trip belonging to the driver of a directory, how does that effect your true positive rate if it actually did belong to the driver? How does one construct an ROC in a discrete probabilistic world?",2,bronze,5,Fri Dec 26 2014 02:50:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11357,/competitions/axa-driver-telematics-analysis,1347th
/xudongcao,Are open source software like caffe and convnet2 allowed to use?,"I saw the limitation. I wonder if convnet2 and caffe are forbidden. Thanks, Xudong",1,bronze,5,Fri Dec 26 2014 07:13:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11359,/competitions/datasciencebowl,2nd
/avshbr,Confusion regarding the duration in the data,"Hi guys, The sum of the duration in minutes is 26003950765 to complete making all 10 million toys in the given data. If 900 elves all with a rating of 4 work 24 hours for say 365 days, they would take 26003950765/900x4x24x60x365 = 13.743 years to complete If they were working only for 10 hours, they would take 32.98 years If they were working with a rating 1, they would take 54.97199 years. If the job is to be completed in an year, the duration should have been in seconds. Am i missing something ? Regards, AVBR",0,None,3,Fri Dec 26 2014 08:20:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11361,/competitions/helping-santas-helpers,200th
/ahmedkhattab,Sample Evaluation vs Leaderboard Evaluation,"There were some edge cases at which the sample code fails that were figured in pervious posts. For example, next_sanctioned_minute fails for minute 539. I wonder if the leaderboard evaluation code is the same as the sample python code or another version where these edge cases are accounted for.",0,None,2,Fri Dec 26 2014 14:25:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11362,/competitions/helping-santas-helpers,333rd
/tvganesh,Anybody using Octave?,"Hi, I am planning to use Octave for this problem. Are there others. Any suggestions? Thanks Ganesh",0,None,2,Fri Dec 26 2014 16:12:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11363,/competitions/avazu-ctr-prediction,None
/mniininen,Github repository for MLMv1 participants,"We have roughly 32 hours before the Morse Learning Machine Challenge v1 will end. In the last few days I have seen quite a lot of activity and many participants have improved their score significantly. I created [Link]:https://github.com/Morse-Learning-Machine-Challenge for MLMv1 participants. This [Link]:https://github.com/Morse-Learning-Machine-Challenge/MLMv1 has a README.md file that explains how you can clone this repo and create your own subfolder and upload your source code and supporting materials. Please add [Link]:http://www.gnu.org/copyleft/gpl.html notice to your source code. I will be sending invites to the MLMv1 repository in the next 24 hours. If you are not familiar with [Link]:http://git-scm.com/ or [Link]:https://github.com/explore this gives you some time to register and learn how to use these tools. After the challenge is finished (Dec 27, 2014 at 11:59 UTC) you can upload your materials to this repository. I will then review the materials and check against Private Leaderboard scores before announcing the winners. I hope that you have enjoyed this challenge and I am looking forward seeing you also in the MLM v2 challenge. Happy holidays! Mauri, AG1LE",0,None,7,Fri Dec 26 2014 16:26:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11364,/competitions/morse-challenge,None
/parthachowdhury,What software to use in Mac-- is open source software like R allowed?,"Hello guyz......This will be my first time in Kaggle. can somebody tell me what software can I use in macbook Pro to approach this solution. I have used RStudio/SPSS to solve customer centric data. I have done analytics on marketing data mainly. Also, as it mostly about image processing, it will be of great help if somebody can guide me on what free softwares i can use in mac which are eligible for this comeptition.......i see in the rules they prevent use of open source softwares! Cheers Pica",-3,None,1,Fri Dec 26 2014 16:46:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11365,/competitions/datasciencebowl,None
/tudor1m,Is Scilab allowed?,"Hi, Can anybody please confirm if Scilab is allowed to be used in this competition? Thank you, Numerical M",0,None,2,Fri Dec 26 2014 17:58:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11366,/competitions/datasciencebowl,None
/emolson,Script for visualization of training data,"I wanted to share some scripts I've been working on to help with visualizing the training data. The first compiles all the images from each class into a mosaic image, and the second creates a bubble chart of these mosaics where related classes are grouped together. Since the full chart is extremely large, I used [Link]:http://polymaps.org/ex/ to get a pan/zoomable web interface. Source and instructions are available on [Link]:https://github.com/ebenolson/kaggle-ndsb-visualization/tree/master, give it a try and if you have ideas for improvements please let me know or submit a pull request. I do plan to add a mode to show model predictions side by side with the training data. Some screenshots: Single mosaic: Zoomed out completely: Zooming in on one group:",46,gold,6,Sat Dec 27 2014 02:29:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11367,/competitions/datasciencebowl,27th
/maxeywen,2015?,Is this challenge being renewed for 2015?,0,None,1,Sat Dec 27 2014 06:20:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11368,/competitions/data-science-london-scikit-learn,None
/hajamaideen,Any one using Apache Spark?,Any one using Apache spark for Kaggle competitions?,1,None,5,Sat Dec 27 2014 17:16:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11369,None,None
/muammar,CrossValidation,"Sorry for a silly question, but how to make any kind of cross-validation in this competition, i.e. on a not labeled data? It is not in my habit just to submit 1000 times. Also I don't want to label by myself some part of data even 10 folders. So is there any general approach to such kinds of problems?",0,None,1,Sat Dec 27 2014 20:31:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11371,/competitions/axa-driver-telematics-analysis,674th
/ydhiman,? condition when elf can reach productivity of 3 or 4,Can some one please give a condition when elf productivity can reach above 2. Explaination with productivity formula will be great.,-2,None,2,Sat Dec 27 2014 22:51:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11372,/competitions/helping-santas-helpers,None
/webscale,Which algorithm is most tolerant to noisy data,"So with no target label and a general statement that says ""You can safely make the assumption that the majority of the trips in each folder do belong to the same driver"" I am wondering which algorithm should I choose in such a scenario. Specifically, my question is which of the following algorithms is typically robust enough to handle outlier data and some noise in the training set. 1. GBM : The train MSE is will obviously go down with the number of tree's. So should I stop at maybe 150 tree's assuming that I am over-fitting after that. 2. SVM : Is SVM better than GBM in terms of dealing with Noise. 3. RandomForest : Is this any better than GBM for noise?",2,bronze,4,Sat Dec 27 2014 23:12:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11373,/competitions/axa-driver-telematics-analysis,269th
/cowabungadood,Subsampling dataset with python,"I am new to python, and was wondering what the most efficient way to subsample the dataset is. Any help would be greatly appreciated.",0,None,3,Sun Dec 28 2014 08:01:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11374,/competitions/avazu-ctr-prediction,460th
/del=520aa824df09e7b5,1.3 seconds or more?,I see that @phalaris used 1.3 seconds in the GBM benchmark code and explained the rationale behind using that cutoff time. There is so much more data in the training files and I am wondering if anyone knows and could explain the value of using more data (i.e. beyond 1.3 seconds). Thanks,0,None,2,Sun Dec 28 2014 21:10:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11377,/competitions/inria-bci-challenge,121st
/sekhar,Any Problem in the evaluation logic.,"I am getting the following exception, when I am trying to submit my CSV file. ""Evaluation Exception: Toy 2182375 is not complete: startMinute = 176612, workDuration = 21, elf = 536, rating = 2.1429."" But in the input file, the toy work is complete (since the Elf ID 536 is taking a new toy after finishing the toy 2182375.) See the below data (related to Elf 536. The data shows the order in which various toys are processed by Elf 536 around the Toy 2182375): ToyId, ElfId, StartTime, Duration, Start_Time (formatted) 2180545, 536, 2014 5 3 13 45, 31, 2014-05-03 13:45:002181110, 536, 2014 5 3 14 17, 26, 2014-05-03 14:17:002181543, 536, 2014 5 3 14 44, 20, 2014-05-03 14:44:002181895, 536, 2014 5 3 15 5, 26, 2014-05-03 15:05:002182375, 536, 2014 5 3 15 32, 21, 2014-05-03 15:32:002182779, 536, 2014 5 3 15 54, 32, 2014-05-03 15:54:002183465, 536, 2014 5 3 16 27, 24, 2014-05-03 16:27:002183919, 536, 2014 5 3 16 52, 29, 2014-05-03 16:52:002184416, 536, 2014 5 3 17 22, 28, 2014-05-03 17:22:00 Do we have any problem in the evaluation logic?",0,None,3,Mon Dec 29 2014 00:15:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11378,/competitions/helping-santas-helpers,None
/derekzh,Rare feature removal effective?,"Hi Forum, After one-hot code encoding, more than half of the features only appeared once. Based on insights from previous competitions, removing rare features could improve prediction by reducing noise. I tried to follow this advice on tinrtgu's FTRL code (thank you tinrtgu, it is a great piece of code for us newbies to learn), but removing the weights for all features that only appeared once in the training set actually reduced my validation score from 0.399 to 0.465. I am puzzled by this: are there other fellow Kagglers pursued similar approach on this dataset and willing to shed light on it? Thanks in advance!",0,None,19,Mon Dec 29 2014 05:54:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11379,/competitions/avazu-ctr-prediction,140th
/rsk2327,Looking for teammates,"I'm a fourth year undergraduate at IIT Madras and am looking for teammates. I have prior experience in Machine learning and data analysis and am familiar with R,Matlab and Python, though I mostly use R for Kaggle problems. Interested people can contact me at roshan.santhosh@gmail.com :)",0,None,10,Mon Dec 29 2014 17:03:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11381,None,None
/superant,Image collage,"I've missed the already posted script to visualize the images, so I wrote another simple script which packs all images into another big image. It has the little advantage that it packs fairly tightly. Also it is short, so you can modify it to your own needs (you need the Pillow package). In the script you specify the input images, one output image and the desired final image width. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62021/1865/imagecollage.py",9,silver,1,Mon Dec 29 2014 18:17:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11382,/competitions/datasciencebowl,None
/christophe4,Access to the future,"Hi, On the optimisation process, do we know future toys arrival time or should we work only we toys already there? or to reword it, when we assign a toy to an elf at a certain time t, can we use the duration of toys which will arrive afterwards in the following hours/days? Thanks for the clarification.",0,None,2,Mon Dec 29 2014 20:36:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11384,/competitions/helping-santas-helpers,185th
/oweniverson,The applicability of Machine Learning,"I was just curious about what the community thought about using deep learning algorithms for quality control. I'm thinking of feeding in photos of objects that might be cracked or chipped (or other imperfections) and trying to flag images where those conditions occur. (and maybe even highlight the location of the problem??) I know there's not a lot of info to go on, but I was just wondering if this would be feasible and if so, who I might approach with the problem. Thanks in advance for any help or suggestions!",0,None,5,Mon Dec 29 2014 21:10:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11386,None,None
/carloshuertas,Is submission system broken?,"I have my submissions endless stuck in ""Pending"", may it be a problem with me or the system is broken?",4,bronze,4,Mon Dec 29 2014 21:44:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11388,/competitions/avazu-ctr-prediction,1193rd
/stephenkappel,Submission hanging,"I made a submission half an hour ago and Kaggle still seems to be calculating the score. I see ""Pending"" in the Public Score column in the ""My Submissions"" page. The submission format is the same as all my previous submissions, so I don't think there is any problem with the submission file itself. Anyone else having this problem? Anything I can/should do other than just waiting... Thanks.",3,bronze,5,Mon Dec 29 2014 22:16:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11389,/competitions/axa-driver-telematics-analysis,436th
/nabilblk,Pending submission,"hello, I submitted maybe 1 hours ago, and my submission is still pending. Is it possible to have any information about that? Thank you to cancelling it if there was any problem, Best regards,",0,None,2,Mon Dec 29 2014 22:54:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11390,/competitions/avazu-ctr-prediction,117th
/marypetik,Some comments,"Once again the Contest based on the high-quality Netflix data demonstrated consistency of the results, and we do believe that such competition must attract about the same attention as ""Titanik"" or ""DigitRecogniser"". Many thanks to the Organizers and HNY!",0,None,1,Tue Dec 30 2014 07:39:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11391,/competitions/predict-movie-ratings-v2,1st
/nayangupta0,Supervised or Unsupervised Problem,"Is it a clustering problem, based on trip features ?. In this case how the result can be probability scores.Is it a supervised learning problem, but for that we don't have the labels. If we mix the trip data for Driver 1 (Label1) and Driver2 (Label 0), How would we validate the results ?",0,None,4,Tue Dec 30 2014 11:13:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11392,/competitions/axa-driver-telematics-analysis,641st
/elenacuoco,How I reached the first position in the leaderboard,"I wrote a general description in this post. http://elenacuoco.altervista.org/blog/archives/1167 I will put in the next days the code in the Tutorial. BTW, can I share the code in the public Tutorial forum section? Elena",8,bronze,8,Tue Dec 30 2014 11:14:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11393,/competitions/data-science-london-scikit-learn,7th
/hmboxwala,What does overfitting mean?,"Hi All, I am new to machine learning and Kaggle competitions. I have read about overfitting in a lot of posts but don't exactly understand . Any help is appreciated. Thanks",0,None,6,Wed Dec 31 2014 10:10:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11397,/competitions/titanic,None
/jordangoblet,Time of execution,What is the time of execution of top performers? My modelling script (without the data preparation and the features creation) takes more or less 1 day!,2,bronze,13,Wed Dec 31 2014 11:37:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11398,/competitions/axa-driver-telematics-analysis,22nd
/bamine,Some interesting papers,"Hi everyone, Just thought I would share a few papers that I found to be quite interesting, and that might give some ideas on feature engineering. http://www.thinkmind.org/download.php?articleid=adaptive_2014_3_30_50086 http://178.22.59.152/documents/Driving%20Style%20Recognition%20Based.pdf http://cs229.stanford.edu/proj2013/DriverIdentification.pdf http://cs229.stanford.edu/proj2013/NieWuYu_Driving%20Behavior%20Improvement%20and%20Driver%20Recognition%20Based%20on%20Real-Time%20Driving%20Information.pdf Feel free to suggest more papers or resources, and good luck to everyone !",88,gold,14,Wed Dec 31 2014 12:20:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11399,/competitions/axa-driver-telematics-analysis,104th
/mariofilho,Looking at/summarizing the data,"Hey fellow Kagglers, how are you? First, Happy 2015! I would like to ask your opinion on summarizing and generally looking at the data before running an ML algorithm. I recently watched the lectures from the amazing ""Learning From Data"" course by Caltech, and a comment that the professor made stuck with me. It goes along the lines of ""do not look at the data before feeding it to the algorithm"". In my experience, in and out of Kaggle, looking at the data, without contaminating it (data snooping), has some benefits. For example, at Kaggle, separating a training and a validation set, and then summarizing, exploring only the training set, to test after on the validation set, and then use the information to train on everything and make a submission. If on a real ML case, separate the test set, lock it somewhere, and then doing the above ""Kaggle approach"" with the rest of the data (cross validation when possible). Do you find that just looking at the training set to understand the features, plotting histograms, etc is bad? What about using the input only, or using the outputs too? Thank you!",1,None,5,Wed Dec 31 2014 22:23:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11401,/competitions/avazu-ctr-prediction,42nd
/alexandrostzortzopoulos,Submission closed for new entrants? (solved),"I created an account four days ago and have a solution that I'd like to upload. However, I'm getting the message that submission is closed for new entrants. Is that correct? What can I do to submit my result? Update: After reading the rules, I noticed that the deadline for submission was indeed the 31st of December.",2,bronze,7,Thu Jan 01 2015 11:03:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11405,/competitions/helping-santas-helpers,None
/jvorwald,How to approach the problem,"There are 5000 drivers, with 200 trips each, and some of the trips were driven by a different driver. The goal is to determine a driving fingerprint to distinguish the different trips in the groups of 200. A number of driving characteristics can be identified, such as number of turns, distribution of speed / acceleration, etc. These characteristics can be used to convert a single trip into a set of values. One option is to generate test data sets by selecting a large number of trips from driver A, and a small number of trips from other drivers (B, C, D, ). We can do classification to identify rules that isolate driver A from B, C, D. The next step confuses me. I would be tempted to repeat, select a large number from B (or F), and then identify rules to isolate B (or F). The two problems can be combined and put all the characteristic data into a single file. This could be continued, to put the characteristics from large number of trips from a large number of drivers into a single file, with a small number of characteristics from ""other"" drivers. Here we could try to classify the data into groups corresponding to the selected drivers, and ""others"". It seems the main challenge is to determine the set of features, or characteristics. What algorithm is used to map the characteristics back to the drive is of secondary importance. If the last paragraph is true, then, is there any way to identify important features except by brute force, or by guessing?",2,None,3,Thu Jan 01 2015 14:34:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11406,/competitions/axa-driver-telematics-analysis,None
/nordin,Importar el dataset en Imbalanced learning ,"Señores como se puede importar un dataset o un experimento en module - Imbalanced learning , da error a la hora de importar el data set que tenemos , lo mismo para cualquier experimento que lo incluye .",0,None,1,Thu Jan 01 2015 16:51:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11407,/competitions/ugr14-preprocessing-for-protein-structure-prediction,19th
/jeffhebert,Starter Code for R Classification,"This is basic starter code to create a plankton classification model based on image dimensions and image density. The code uses randomForest, but you can easily change to any classifier you like. This code takes about 45 minutes to run on my old laptop. Most of the time is spent reading the thousands of images. You may have better performance with an SSD. I would appreciate any suggestions on how to speed up this code. This code should produce a results file with public score of 3.397518. Surely you can come up with a better model! [Link]:http://github.com/JeffHebert/Plankton_Classification Enjoy, Jeff Edit: Found and fixed an omission in the prediction code. Log Loss improved from 7.626163 to 3.397518.",10,silver,10,Thu Jan 01 2015 19:51:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11408,/competitions/datasciencebowl,471st
/jqveenstra,Links on identification sheet:  do they commute?,"Hi, Just wondering if anyone knows whether the dotted lines on the plankton identification pdf commute or not. That is: there are links between four of the echinoderm classes, for example. Are they all alike, or would there be more lines between them if they were? Thanks! -J.Q.",0,None,4,Thu Jan 01 2015 21:24:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11409,/competitions/datasciencebowl,None
/ifijeohio,matlab users - trip length benchmark?,"Anyone else out there using matlab? I'm trying to recreate the triplength benchmark, but I'm not even close at all. Any thoughts about what I'm doing wrong? All the trips for each driver are saved in a cell array called trip F=zeros(200,1); for i=1:length(trip) a=diff(trip{i}).^2; F(i)=sum(sqrt(sum(a,2))); end F=F-mean(F); F=F./std(F); prob=zscore((F-mean(F)));",0,None,1,Thu Jan 01 2015 23:07:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11411,/competitions/axa-driver-telematics-analysis,313th
/jstaker7,SGD learning rate question,"I'm new to machine learning and I'd like to confirm that I'm debugging in the right direction. When training my model using SGD I get fluctuations in the prediction error, which is to be expected, but my fluctuations seem very large. For example, here are my miss-class percentages for each epoch: 1.00.340.710.100.100.750.580.870.960.41(training is still completing...)The fact that the error goes down to 0.34 after just one epoch and then jumps from 0.10 to 0.75, then up to 0.96 seems like a lot of useless scattering about and I would expect smaller jumps with an overall downward trend. Is this normal behavior when using SGD? I'm wondering if this is due to using too high a learning rate, or an incorrect momentum?",0,None,3,Fri Jan 02 2015 03:54:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11412,/competitions/datasciencebowl,226th
/evgenimakarov,Data availability,"Can you put files somewhere else than your current hosting? For example, to GitHub. Can't download them.. Download process hangs at 0.9G...",0,None,2,Sat Jan 03 2015 11:35:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11415,/competitions/axa-driver-telematics-analysis,1067th
/johnsun1,Could I use test data for unsupervised(obviously) pretraining?,Subj.,-1,None,4,Sat Jan 03 2015 20:31:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11416,/competitions/datasciencebowl,None
/atlantageek,What year are the winners completing at.,Assuming that the winner is using 900 elves what year are they completing their solutions at.,0,None,5,Sat Jan 03 2015 20:49:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11417,/competitions/helping-santas-helpers,20th
/evgenimakarov,Where's the rule/format for Submission,"Hi In the rules there's no description of format for submission, only example Can you describe the exact desired format?",0,None,3,Sat Jan 03 2015 21:59:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11418,/competitions/axa-driver-telematics-analysis,1067th
/parkinsonzabelin,"logloss ->0 if all p(i,j)->1","I am new to this board. Per multiclass logarithmic loss function=> 0 as p(i,j)=>1. Am I missing something here?",0,None,15,Sat Jan 03 2015 22:45:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11419,/competitions/datasciencebowl,405th
/adjgiulio,resources for deep learning networks architecture,"I'd like to use this competition to learn something about deep learning. I read through some of the Theano tutorials and I have some very basic appreciation for the math and the intuition behind some of these techniques. But I'm kind of lost about how to use DNN's in practice. Maybe I'm asking the wrong question, but is there any paper/tutorial that gives practical rules of thumb on how to proceed to determine better network architectures? I.e. number of layers, hidden units, convolutional layers, dense layers...",1,bronze,6,Sun Jan 04 2015 18:19:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11420,/competitions/datasciencebowl,43rd
/jdr0317,Converting images to standard scale code,"Hi all, So for my first attempt at this problem, I've decided to perform image rescaling, and using the rescaled images as feature spaces. In the case of the example, I rescale all image to 72 x 72, and use the 5,184 pixel vector as a training example. Unfortunately, this code is somewhat slow; it takes about 0.44 seconds to perform the image rescale and updates to the matrix and category vector (even after using preallocation in R). I suspect that on the training set alone, this task will take ~ 4-5 hours. The one positive is that thanks to preallocation, the run time doesn't increase with object growth. Even using a rescale to a smaller image isn't much faster (20 x 20 ran at around 0.38 seconds per image). Has anyone else tried to perform a similar operation, especially in R? My code is attached for reference (with directory paths masked). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62259/1868/train_gen_anon.r",3,bronze,14,Sun Jan 04 2015 19:56:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11421,/competitions/datasciencebowl,None
/leobuettiker,Speed Limits,"I think it would be important to have a feature related to the speed limits and how close a driver stays to them. So I tried to figure out what the speed limits for the data are. The most promising approach until now was to get for each trip the period where the driver keeps the speed, take the mean of this period and plot the histogram of this data. I see a peek around 50 km/h or 30 mph (48 km/h). But this is not precise enough for my purpose, I would need to know which of the two is the correct one. And I expected to see at least one more peek with higher speed, which I cannot. Did anyone had more luck (and likes to share)? Do anyone know of another approach to find the speed limits?",4,bronze,3,Sun Jan 04 2015 22:14:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11423,/competitions/axa-driver-telematics-analysis,257th
/carloshuertas,Calibrated probabilities between the drivers,"What does that exactly means? If I have the following (I guess uncalibrated) file driver_trip,prob1_1,0.91_2,0.81_3,0.72_1,0.62_2,0.82_3,0.73_1,0.53_2,0.43_3,0.8 How do I calibrate it? Whats the process? This is my guess, like normalize [0-1] ???1_1,11_2,0.81_3,0.62_1,0.42_2,0.82_3,0.63_1,0.23_2,03_3,0.8",1,bronze,1,Sun Jan 04 2015 23:53:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11424,/competitions/axa-driver-telematics-analysis,454th
/rhinodaveb,python datetime OverFlowError,"When adding a timedelta object to a datetime object I am receiving the following error: ""OverflowError: int too big to convert"" This is occurring in early 2262. I was wondering if anyone has encountered this issue. I have been trying to work around this for a few days now and I can't seem to figure out a fix.",0,None,2,Mon Jan 05 2015 03:07:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11425,/competitions/helping-santas-helpers,413th
/pappukrjha,timestamp,what is the significance of timestamp? I know the starting poing of measurement and unit but where does it end and what is the significance of end date?,0,None,1,Mon Jan 05 2015 13:41:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11426,/competitions/predict-movie-ratings-v22,None
/davidrivero,Math skills,"Hi, I'm new on Data Science and I'm looking for use maths for help me solve the challenges better. What math skills do you recommend me for improve in this field, also statistics and probability? Thanks",0,None,3,Mon Jan 05 2015 15:53:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11427,None,None
/gabriel18,Wrong drivers,"Hello, I would like to make sure I understood the data correctly : For a given set of trips, we can see that some of them perfectly overlap: they correspond to either one person coming back to his/her initial place, or the same trip carried out another day. My question is the following : Among the overlapping trips, can one of them have been driven by the ""false"" driver ? Thank you in advance. Gabriel",1,bronze,1,Mon Jan 05 2015 17:23:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11428,/competitions/axa-driver-telematics-analysis,None
/leobuettiker,Baseline,"I could have name this post beat the benchmark, but well... In short: 8 line of R code, 3 minutes of cpu power (given a fast harddisk) and you get 0.94413. The aproach is simple. I calculate the mean for each movie out of the training set and assign it to the test set. If this is not possible, I assign the mean over all movies in the testset. I created a [Link]:https://gist.github.com/leobuettiker/01de66fc8d5f71a794bc with the code.",2,bronze,15,Mon Jan 05 2015 17:49:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11429,/competitions/predict-movie-ratings-v22,15th
/ofdomejean,High number of levels in some features,"Hi, Beginner getting some experience. I want to try logistic regression and SVM, but there are some features that have lots of levels, the option I know is to use dummy features, is there any other option?, because I end up with a high dimensionality dataset. Any suggestions? Thanks in advance",0,None,26,Tue Jan 06 2015 01:37:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11433,/competitions/avazu-ctr-prediction,None
/xudongcao,Is self-training allowed?,Thanks!,0,None,2,Tue Jan 06 2015 10:20:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11435,/competitions/datasciencebowl,2nd
/sshawnuff,Faster than sound?,"I downloaded drivers.zip twice and unpacked it with 2 different unzip tools, but keep detecting position jumps like: /drivers/1/102.csv, row 324: from 627.7/735.8 to 1028.6/1200.5 ->613.7319447446091 m/s or 2209.435001080593 km/h/drivers/1/120.csv, row 958: from -15310.0/1566.3 to -15621.3/1075.2 ->581.4524056188945 m/s or 2093.2286602280205 km/h/drivers/1/127.csv, row 574: from 328.9/1178.4 to 440.9/1732.0 ->564.8158637998758 m/s or 2033.3371096795531 km/h/drivers/1/136.csv, row 277: from -1000.3/259.8 to -1545.0/397.5 ->561.8357233213281 m/s or 2022.6086039567813 km/h... Is there a (data) error on my side or do other people observe the same?",0,None,2,Tue Jan 06 2015 11:32:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11436,/competitions/axa-driver-telematics-analysis,131st
/del=3035536b873c76cb,Any descriptor hand-designers around here ?,"Hi, I can understand after reading different posts that most competitors go for a neural network solution. Is there anyone who is trying to build appropriate features ? Why should I prefer a neural network approach ? I have poor knowledge about neural network, but won't the solutions built by competitors using this approach resemble ? Thanks for sharing,",0,None,2,Tue Jan 06 2015 12:59:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11437,/competitions/datasciencebowl,658th
/tarunaryyan,Error while submission,"Hi, I am getting the attached error while submitting my solution. I have not changed the format of datetime column and even tried submitting the solution using sample submission file, only to receive the same error everytime. Can any one help please what could be the reason? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62343/1869/Error.JPG",0,None,2,Tue Jan 06 2015 13:46:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11438,/competitions/bike-sharing-demand,1336th
/mr1yh1,question about sample code,"def is_complete(self, start_minute, elf_duration, rating):"""""" Determines if the toy is completed given duration of work and elf's productivity rating:param start_minute: minute work started:param elf_duration: duration of work in minutes:param rating: elf's productivity rating:return: Boolean""""""if self.duration / rating <= elf_duration:self.completed_minute = start_minute + int(math.ceil(self.duration/rating))return Trueelse:return False self.duration / rating is double, but we need a decimal number (minutes), so int(math.ceil(self.duration/rating) conversion should be done before if comparison, am i mistaken ? --------------------------------------------------- i had trouble there, 400.0 <= 400 returning false (those are printed values), it's happening in C++ code and i get same error in evaluation phase. i can not reproduce the error by simply doing division in python shell. i suspect some rounding problems related rating. any suggestions ?",-1,None,8,Tue Jan 06 2015 15:25:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11439,/competitions/helping-santas-helpers,240th
/maucle,January 7 is abstract submission deadline...,"Dear all, To apply for the prize in this competition (which is organized in the context of the NER2015 conference), you must submit a 1-page abstract to the conference. The deadline for 1-page abstract submission to NER2015 is only one day away (Jan 7)... The relevant information for submission is here: http://neuro.embs.org/2015/papers-and-registration/papers-submission/ It will lead you to the papercept website http://embs.papercept.net/conferences/scripts/start.pl Best regards, Maureen Clerc",0,None,14,Tue Jan 06 2015 16:04:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11440,/competitions/inria-bci-challenge,None
/chekist,Better then 0.40 score solution in R language,"Hi! I really need solution in R language. I saw different solutions on GitHub. Most of them have higher then 0.40 score or written in C/C++. One has great result - 0.43, but I cannot understand how this result was obtained. Maybe my experience is not very great. Can you help me? I need sequential solution in R with score less then 0.40. Thank you very much.",0,None,2,Tue Jan 06 2015 16:40:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11441,/competitions/bike-sharing-demand,704th
/ivanhohlov,Help understanding goal,"Hello. Maybe it's because of language difficulties, but I don't understand for sure, what exactly should I predict? Is there any test data to predict, or I am to re-classify each trip of every driver? Thanks",0,None,2,Wed Jan 07 2015 07:59:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11444,/competitions/axa-driver-telematics-analysis,1362nd
/mikeskim,has anyone tried sparse filtering?,I noticed sparse filtering was used in a prior Kaggle competition: http://fastml.com/deep-learning-made-easy/https://github.com/zygmuntz/kaggle-blackbox Has anyone tried using it for this competition?,1,bronze,1,Wed Jan 07 2015 08:28:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11445,/competitions/datasciencebowl,None
/rhinodaveb,Why am I receiving this submission warning?,"I have received the following error message when making a submission: Evaluation Exception: Toy 2027679 is not complete: startMinute = 337500, workDuration = 600, elf = 640, rating = 1.2500 If Toy 2027679 has a Duration of 750, why would it not complete in 600 minutes given an elf rating of 1.25? (i.e. 750/1.25 = 600)",0,None,5,Wed Jan 07 2015 16:31:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11446,/competitions/helping-santas-helpers,413th
/atlantageek,Master Exploder team are secretly elves.,So it looks like the Master Exploder team are about to win the 'Helping Santa's helpers' model. Its interesting cause they dominated 'packing santa's sleigh' last year. Are these guys secretly elves?,3,bronze,4,Wed Jan 07 2015 19:31:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11447,/competitions/helping-santas-helpers,20th
/chipburwell,When is it good to use Softmax?,"I've been doing a little playing around with the idea of using softmax algorithm on my answers. From my playing around, it looks like if you are doing really well predicting the correct class of plankton, you will benefit from softmax, but if your predictions aren't all that accurate, softmax will hurt your score. (And can hurt it big time!) So my question is, how good do you need to be before softmax is worth your while? Anyone with good math chops got an answer to this? Maybe a good intuitive answer that helps those of us without a PhD in math to understand? Thanks, Chip",0,None,4,Wed Jan 07 2015 23:43:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11450,/competitions/datasciencebowl,327th
/sd3279305,Problem clarification,"Hi, I am new to Kaggle and also Machine learning. I came across this tutorial competition and I am wondering how this is a problem since the code is already given in the tutorial? Is it supposed to be that way? Also, is it computationally efficient enough to run on an i5 4 core laptop? Or do we have to change the approach/code for the submission? Sounds silly, but thanks!",0,None,1,Thu Jan 08 2015 05:46:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11451,/competitions/word2vec-nlp-tutorial,None
/scottdh,How I got my run time down from 10 hours to 10 minutes,"Earlier in this forum there was a post about run time to process the 10 million toys. When I read it I was shocked to see that there were people in there talking about run times measured in minutes, because at the time my python solution implementation was taking 10-12 hours to run. However since I stumbled on how to reduce the run time significantly, I wanted to share for anyone else interested At the time I was exploring 2 different solutions, one was algorithmic, and one was an evolved solution, and I was trying to get the evolved solution to run a lot faster. Both solutions involved reading in all 10 million toys, or as many as my computers RAM could hold without breaking. I played around with various code changes such as changing the get sanctioned, unsanctioned hours breakdown, which was counting the minutes 1 at a time, to an algorithm, and using faster ways of slicing my lists, but my runs were still hours. The real thing that sped up my runs was changing my data structure. Instead of reading in all 10 million toys and processing them, I instead made a histogram of the toys. i.e. there were ~ 100,000 one minute toys and ~90,000 2 minute toys etc. So I could store value 100,000 in list index [1] and 90,000 in list index [2] and process that. Suddenly instead of 10 million unique values, my computer was dealing with around 25 thousand distinct values which only took a couple of minutes, and then several more minutes to go in an back substitute actual toys for their durations This didn't take into account relative start times, so I just started them all at year 2015, giving up a couple of months in exchange for easier coding I should caveat to say that I did eventually abandon this solution in favor of my teammate's implementation which took longer to run, but for other reasons gave a better solution and was better structured to roll in improvements. For others who had shorter runtimes, did you implement a similar solution? Or was there another way to speed up the code ?",2,bronze,11,Thu Jan 08 2015 06:08:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11452,/competitions/helping-santas-helpers,20th
/bluetrin,Any starter code in Python,"I find this competition interesting as it will help a group of researchers, however I am quite new. Does anyone have a starter code in Python 3 so I could understand the process of generating values and submitting them ? Tony",0,None,1,Thu Jan 08 2015 13:01:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11453,/competitions/datasciencebowl,None
/axahelpsavelives,A telemeatics idea that data & technology might help solve and help save lives while better profiling insurance risk,"I am not a data scientist and I have maybe misunderstood the call to action on the AXA UK Staff website which was to register on Kaggle to submit your telematics data ideas. So I am not offering any algorithmic answers I am afraid. However I am proposing something that I would love to be solved through technology and data. And that is the risk around mobile phone usage while driving - particularly in young people and particularly when texting or using social media. Not only do I think this could help better profile risk, I also think we could also help save lives. Particularly if the telematics ""black box"" was able to block in car mobile signals while driving. I know parents who are almost as fearful of their kids driving and texting as they are drink driving. Not sure this data set helps this challenge directly is. But as a starter for ten, simply mapping open source time stamped Twitter geocache data to drive times might provide some insight. Good luck!",0,None,2,Thu Jan 08 2015 15:57:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11454,/competitions/axa-driver-telematics-analysis,None
/adidua,Raw classifier scores or calibrated probabilities?,Will the evaluation method work with raw classifier scores or do the results have to be reported as probabilities?,0,None,3,Fri Jan 09 2015 00:32:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11456,/competitions/axa-driver-telematics-analysis,779th
/hogwild,Dimensionality reduction,Has anyone tried PCA for dimensionality reduction? How to determine how many principal components to choose?,0,None,1,Fri Jan 09 2015 02:04:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11458,/competitions/avazu-ctr-prediction,1108th
/aseem1,Striking similarity in images,"Hi, There is so much similarity between images of different classes like shrimp caridean and zoea. I am curious to know if marine experts did actually distinguish between them based on same images that are provided for this competition? If yes I would like some insight on how did they distinguish between the attached images. Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62479/1876/untitled.jpg",9,silver,4,Fri Jan 09 2015 05:00:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11459,/competitions/datasciencebowl,797th
/paweljankiewicz,Looking for a teammate in the top 25,Hi. I'm looking for a teammate(s) with ambition to win this competition.,0,None,4,Fri Jan 09 2015 10:29:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11461,/competitions/datasciencebowl,16th
/clay2182170,transform dataset for association rule,I know this competition is over but I curious to test/implement my method. can anybody here teach/tell me how to transform the dataset so it can be use for association rule algorithm like apriori for example. thanks,0,None,2,Fri Jan 09 2015 10:43:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11462,/competitions/acquire-valued-shoppers-challenge,None
/stephenpiccolo,Approximately when will final results be revealed?,"I may offer this as an option for some students, but I want to see how the timing coincides with the semester timing. Also, what results will be provided at the end of the competition? Thanks!",0,None,1,Fri Jan 09 2015 15:24:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11463,/competitions/datasciencebowl,None
/hawkman,Some Beginner Questions,"Hi kind kagglers, I am new to all this machine learning stuff, this is my second project (after the titanic tutorial) and i can see how this quickly becomes addictive. Anyway i was trying to fix my dataset using pandas, and what i wanted to do was to go through for each row and extract the soil type (0-39) and wilderness area (0-3) so i designed a function to take a subset of the whole data frame and return an integer. This looks like: def extract_soil(df): soil = 41 for i in range(1,41): if df['Soil_Type%s' %(i)]: soil = i break; return soil Then i can recast the new column like: df_train['Soil'] = df_train.index.map(lambda x: extract_soil(df_train.ix[x,0:])).astype(int) This seems a little bit convoluted and unneccessary, and it is very time consuming computationally considering how many if statements it has, i was wondering if someone knew of a smarter way about this? Cheers for your input",0,None,7,Fri Jan 09 2015 16:49:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11464,/competitions/forest-cover-type-prediction,None
/dpaul93,Time to fit in R,"How much time is it taking to fit(using train) random forest or NN in R, Mine is running from yesterday? Now it has started slowing ever other program in my computer.",0,None,1,Fri Jan 09 2015 18:06:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11465,/competitions/digit-recognizer,None
/smckenna,Does Column Order Matter in Submission File?,"Per the instructions: You must submit a csv file with the image name, all candidate class names, and a probability for each class. The order of the rows does not matter. The file must have a header ... But, does the order of the classes across the columns matter?",1,bronze,2,Fri Jan 09 2015 19:31:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11466,/competitions/datasciencebowl,488th
/lakshmanok,Welcome!,"Welcome to the contest! In the next 5 months, we (Kaggle, Climate Corporation, and American Meterological Society/AI Committee) will monitor the forum and answer questions in a timely fashion. In particular, Kagglewill answer questions related to the platform and deadline related questions. AMS-AI and Climate Corp will answer questions related to the dataset, meteorology and hydrology.",1,bronze,7,Fri Jan 09 2015 20:13:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11467,/competitions/how-much-did-it-rain,None
/hanshupe,root cause analysis with random forests?,"There are metrics how to determine the most important features in a random forest model (Gini index, permutation accuracy). But is there also an approach how to analyse or visualize the root cause of the predicted class for a specific data record? Let's say I have a trained model to predict a credit rating and want to find out why it classifies my client John (age=23, gender=m, salary=80000, etc.) as C-customer to provide this information the client counseling. For a single tree I could interpret the tree and say the reason for the bad rating is because his age is less than 30 (because that was the splitting point). But are there similar concepts for the random forest to provide information for root cause analysis?",0,None,4,Fri Jan 09 2015 20:54:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11470,None,None
/mmucha,Our approach,"First of all, thanks to the organisers for a great competition! In this post we present the approach used by our team: Master Exploder. Before we proceed with the description of our approach let us contribute to the ""how long did your program take"" discussion. Our early solution, that implemented the basic approach described below (and scored slightly more than 1.3*10^9), run around 5s on a Dell 6420 laptop. It uses C++ and preprocesses the input file (only size and realease time in minutes since 2014-1-1 0:0 is retained). Also, critically, it uses a find-union based queue for predecessor search on toys (i.e. it can find the largest toy not greater than given size, or remove a single toy), which is much much faster than STL's set. The final solution took much longer, due to 2 factors: * We needed to solve 4 different Integer Linear Programs (using Xpress Optimizer from the FICO package), the last one was rather large and finding a reasonable solution took about 3h * Generating the oscilations (see below) was done using a hill climbing algorithm, and that thing can easily be run for a week and still improve (yes, it is that slow). Our final solution was generated much faster than that, but that is only because we made some significant improvements to other pieces and started the search too late. Below we provide a very brief description of our approach. The source code with some more explanations will follow in a few days. One disclaimer before we proceed: This text is not a description of a final solution, but rather a description of a process of arriving at the final solution. In particular, some of the assumptions made in the early parts of the text are lifted in the later parts, in order to gain some tiny improvements to the score. *** GENERAL THOUGHTS Let us start with a few general observations:* The arrival times do not matter, except in the first year. We need to process the first year separate, and otherwise completely ignore the arrival times.* It seems that there are two resources: time and elves. However it is really not the case. First of all, you always want to use 900 elves, because of the log in the objective function, so elves are not effectively a resource. There is another resource however, and that is: small toys. Small toys can be used to accelarate elves, so that they can solve the large tasks more effectively.* To a large extent you can ignore off-time and only think about working hours. A toy that takes t minutes at a given rate is going to take t minutes of working hours no matter what. The only reason off-time is important is that it determines the change in elf's rating (and of course the final toy for each elf is a special case, but that is really minor). *** BASIC APPROACH Here are the basic premises of our approach:* We want to speed up the largest toys, the larger the toy the more want to speed it up.* We want to attempt to use up all the speed up toys efficiently, one important realization is that in general we want to produce the speed up toys as slowly as possible without going over 600 minutes. For example, the best way to use a toy of size 1200 is to produce it at speed x2. This is MUCH better that producing it at speed, say, 3x. This is because in the first case you are accelerating for a longer period of time.* Our basic approach was: for each toy, determine the target rating we want for that toy and try to achieve it by using a sequence of small toys (which we call a speedup run, or just run). We later abandonded this for more complicated solutions, but in some form this was present in our code until the very end. * The target rating formula was of the form rating=sqrt(SIZE/C), where C was sth like 133000. The reason for this is as follows: At first glance it might seem that you want to assign ratings so that each toy runs for more or less the same time. This would lead to a formula like this: rating=SIZE/C. However, this is not a good idea. This is because speeding up a slow elf is much more efficient than speeding up a fast elf. If you do the math here, you end up with the sqrt formula.* If you try doing the above, the big toys will run at rating about 0.6. This is not ideal, since we have many toys with sizes like 1000 or 2000. These can be used to speed up way above this target. So we try to generate speedup runs that go as far as possible until those larger toys are out, and only then settle for the target run formula.* Once you have these runs that go up to a rating of 4 or slightly smaller, you might be tempted to simply assign them to the largest toys. However there are better things to do with them. Here is the key observation: Suppose the rating is exactly 4.0. Instead of producing a very large toy (say of size 22k), it is in fact better to first work for 34 hours producing a toy of size 34 * 60 * 4 = 8160, which cuts the productivity down to 4.0 * 1.02^20 * 0.9^14 = 1.36, and only then produce a very large toy. This observation also works for ratings smaller than 4.0, and in general you always aim for almost exactly 34 hours and then the final rating is a about a third of the initial one.* While you are at a rating of 4.0 or close to it, you want to ""clear"" the toys thatare slightly larger than 2400 (actually we can go up to about 3500) by performing what we call oscillations. Basically (a) produce a larger toy, this reduces the rating (b) produce a smaller toy, increasing back the rating (c) repeat. During the oscillations, you need to remember that small toys are the real resource here, and not time. You should almost always wait until the next work-day starts if before starting a new toy. This is true even if it is, say,10am.* Finally, let us tackle the ""first year problem"". The basic approach would be to just let the elves do as much work as possible during that time, without using any speed-up toys. In fact using toys < 2800 is also not a good idea, since these toys CAN be used to speed up elves, even though they cannot be done in one day. A more advanced solution to the first year is as follows:We split the elves into two groups. 760 elves produce all available toys of size from the range [3400,9000], their productivity immediately drops to 0.25 and stays at this level till the end of this phase. The remaining 140 elves does not waste their 1.0 default productivity and wait for toys of size between 21500 and 22000 arrive, which happens in December 2014. The reason thisis better is that toys in range [2700,3400] are handled very efficiently in oscillations anyway.On the other hand, saving 140 elves' productivity of 1.0 to produce large toys has significant value. *** HARDCORE APPROACH Our final solution in some sense does what has been described in a previous section. However to save as many days as we could, we tried optimizing every single choice made in this approach. Here is the basic workflow of our approach: LONG RUNS We start with constructing runs which reach productivity above 4.0 / 1.02^10, i.e. at most one day away from productivity 4.0. In our final submission we have used 39000 of such runs (chosen experimentally). Those runs are computed by generating an Integer Linear Program (ILP) and solving it in FICO Xpress, as follows. We represent current productivity of an elf as an integer from the range [0,8400], which is the number of minutes spent so far on toys production - we assume that all the minutes are during sanctioned hours, which allows for this discretization of the rating space. Note that 0.25 ^ 1.02^(8400) equals roughly 4.0. We design a graph where from state r \in [0,8400] we have an edge to a state r' (labelled with toy s), if r'-r = ceil(s /rate), where rate = 0.25 * 1.02^(r/60). In such a graph we look for an integral flow of size 39000 from state 0 to states in [7801,8400]. We also impose additional constraint of not using more edges labeled with s than the number of toys s available. Our goal here is to generate 39000 runs and lose as little speed-up as possible. We measure the speed-up lost by introducing a penalty. For a toy of size s we consider the duration d of its production, as well as the optimal duration dOpt which is min(600,d/0.25). The penalty for producing toy s in d minutes is dOpt-d. We minimize the total penalty over all toys used. This problem can be easily cast as ILP, but it is a huge ILP. To reduce its size, we make an additional assumption. We do not allow dOpt-d to be larger than 10, except for toys which fit completely in the first 600 minuts (first day of speed up). The reason for this exception is the following: to produce speed-up toys with large sizes on small penalty, we need the right ""offset"" (because we minimize the penalty, most toys take almost exactly 600 minutes, but for some toys to be produced efficiently we need to be at, say 1534 minutes). So the first day is there to allow the run to obtain a specific offset w.r.t. 600 minutes. Here is a typical run we get from the ILP: 143 2 181 221 269 328 400 488 595 725 884 1077 1313 1601 1952 Note the size 2 toy here. The number of minutes spent on speeding up during the first day is 579, this is not achievable with a single toy. This is the ""offset"" we need to produce the remaining speed-up toys with duration close to 600 minutes. Finally, we impose an additional (much smaller) penalty for every toy of size <= 20 used. This is not based on any calculations, but we believe these toys are useful later on, and runs generated in this way indeed worked better. OSCILLATIONS After performing a long run, elf's productivity is high - it is at least 3.28. Now our strategy is to oscillate, i.e., produce toys of medium size (say between 2000 and 3500) and when our productivity drops significantly we rebuild it using toys of size [600,2000]. We extend runs to form oscillations by a local search algorithm which swaps toys between oscillations and tries to form optimal order of an oscillation. Each oscillation also ends with a medium sized toy that takes around 34 hours to produce as mentioned before. ASSIGNING LONG RUNS TO ELVES We now perform these long runs extended with oscillations. That is we take from a queue the first available elf and assign it a long run with an oscillation, then use toys of size in [3500,6000] to adjust the offset of the elf (each run has its ""perfect"" starting offset), and perform the run. MID RUNS When all long runs with oscillations are done, there are still toys left: * small toys, with sizes <= around 650* large toys, with sizes >= around 3500, and <= around 22000We want to use the small toys to speed up the large ones. We divide this tasks into two subtasks. The first one is using the larger small toys (151) efficiently. Here we use an ILP very similar to the one for big runs to generate so called mid runs. The main difference is that we try to maximize the total time spent in these larger small toys. This simultanously guarantees (kind of)that we use all of them AND that they are used efficiently. SMALL RUNS After we generate all the midruns, we are left with toys with sizes <= 150. To generate the ILP for the runs made of these toys we use a different ILP. We now turn to the actual objective of the problem, which is the total runtime. We use a flow formulation as before, but now we add additional sinks at every productivity r. These sinks let the flow go from node r to a specific large item S. The contribution of such flow to the objective of the ILP is equal to the gain (in minutes) we obtain from producing item S after speeding up for r minutes. This program is too large to be solved efficiently, so we reduce the number of sinks by assuming that each large item will be produced at the speed which is close (say, +-50) to the the target rating for this item. However, at this point it turned out the our sqrt(size/C) target function is no longer accurate enough, so we designed an improved one. What we did is we assumed a fixed U - marginal utility per hour of small toys (chosen experimentally) and for each large item size we used binary search to find the speed-up length at which adding an extra speed-up hour gains exactly U minutes of production time. This ILP generates runs as long as 1450 minutes. On the other hand, some midruns have length 600 minutes. Therefore we insert these short midruns to the ILP as extra edges, in order to allow the ILP to optimally decide which run should be used for which item. One funny issue here is the following: it is not optimal to produce larger items at higher speed! We only realized it after actually solving the ILPs. Here is an example of what our ILP does: run 18967 on 1287 minute speedup, andrun 18874 on 1289 minute speedup You can verify that this is 1 minute better than doing it the other way round because of round-ups. This does not influence the final score significantly, but it does a bit :) A question one could ask is: why do we need to ILP, one for mid runs and one for small runs? In principle we do not. We would prefer to put everything in the small runs ILP, as its objective function directly models the problems objective function. Why not do it? The short answer is: the program would be too large. The longer answer:* There are 1500 nodes in the small runs ILP, if we include the items larger than 150, we need 4200 nodes.* In the small runs ILP, for every big item size we generate sinks that correspond to its target rating +- a small delta, say 50. The large items that use mid runs run way above their target ratings. We do not know how to model this well without blowing up the size of the ILP. That is also why in mid runs there are no sinks, we simply assign runs to items monotonically. EULER TOUR METHOD Now we are faced with a problem of executing all the small runs (each extended with a single large item), as well as all the moderate size items that are not sped up (with sizes in [3500,8000]). The problem here is that each run has some specific time offsets in [0,599] at which it can be executed with minimal waiting time. If it is run at other offsets this waiting time is much bigger. We need to split the runs in 900 groups, one for each elf, so that they require more or less equal time, and so that the waiting time is as small as possible. We model this as another ILP. This time we take [0,599] as the nodeset. Each run corresponds to a set of (potential) edges, these are pairs (start,end) that correspond to executing this run with starting offset 'start' and ending offset 'end'. For efficiency reasons we only consider those pairs, where unneccessary waiting time is no larger than some threshold value (10).Mid size toys never incur waiting time, and each such toy can be started at any offset o and ends at offset (o+4*size)%600. We now want to choose, for each run and each mid size toy, a starting offset, so that the resulting graph is as close to Eulerian as possible. This is modelled using a natural ILP. Once we get the solution, wee add dummy edges to make the graph truly Eulerian, find the Euler tour and cut it into 900 roughly equal pieces. Note: this ILP is the hard one, it takes up to 3h find a reasonable solution! EQUALIZER The pieces found by the Euler tour method described above are roughly equal, but still quite different in sizes. We now assign each piece to one of the elves, compute the finish times for all elves, and use a simple local search algorithm to equalize the tours. This is done by swapping mid size items (they all run at 0.25 rating) with lengths that have the same remainder modulo 150. This does not disturb any offsets and allows us to equalize all elves to within a single day. FINAL TOYS Each elf also receives a final toy with size > 20k (the sizes of these toys are almost but not exactly equal, since equalizer produces close but not exactly equal finishing times). These toys can be thought of as running at 2.4x speed because they can run at night with no rest afterwards. We could and should speed up these toys, slightly. We did not do it though. FORCED LOSS The small runs produced by the small run ILP may sometimes have a rather large 'forced loss'. This is the minimum number of minutes lost by waiting when executing the run. At the very last moment we implemented a method to slightly reduce this loss by attempting to swap pairs of items in a run and checking whether this improves the total runtime of the run.",19,gold,5,Fri Jan 09 2015 22:18:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11472,/competitions/helping-santas-helpers,1st
/lakshmanok,Continuous Ranked Probability Score,"Attached is Python code (crps.py) that computes the CRPS. If you run it by itself, it runs unit tests, but you can also use this as a module for its calc_crps() function: def calc_crps(thresholds, predictions, actuals): """""" Calculates the Continuous Ranked Probability Score given: 1D array of thresholds 2D array consisting of rows of [predictions P(y <= t) for each threshold] 1D array consisting of rows of observations Lak [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62537/1880/crps.py",5,bronze,5,Fri Jan 09 2015 23:25:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11473,/competitions/how-much-did-it-rain,None
/inspector,Uplift Models,Has there ever been or does anyone know if there will be (on the horizon) a challenge in uplift modeling? http://en.wikipedia.org/wiki/Uplift_modelling,0,None,1,Sat Jan 10 2015 01:21:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11474,None,None
/inversion,AMS Conference,The prizes page states: Winners are encouraged (but not required) to attend the 2015 AMS Conference in New Orleans to present their work. http://www.kaggle.com/c/how-much-did-it-rain/details/prizes Assuming this is the [Link]:http://annual.ametsoc.org/2016/?,0,None,1,Sat Jan 10 2015 02:15:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11478,/competitions/how-much-did-it-rain,148th
/inversion,Expected,"As far as I can tell, neither the data page nor the example solution explicitly states what the ""Expected"" column is. I'm assuming it is the actual amount of rain collected, but, I'd feel better if this was clarified on the data page. Thanks.",3,bronze,37,Sat Jan 10 2015 02:44:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11479,/competitions/how-much-did-it-rain,148th
/jorispeeters,Starter looking to join a London team,"I am entirely new to Kaggle, and am looking for a team to join, preferably in London. My personal motivation is to 'learn whilst doing', as I currently have almost no experience at all with data science or machine learning (beyond following the Coursera course about a year ago). It is something I am very keen to learn, though. I imagine I could be somewhat useful to the team, as I am a reasonably experienced programmer (C++ and Python predominantly), working at a London hedge fund (so some acquaintance with data and statistics), and with a background as a doctor in Applied Physics (so good knowledge of math and physics). If this is not the right place to look for a team, I apologise - and if you could be so kind as to point me in the right direction. :) Looking forward to hear from you. -Joris.",0,None,3,Sat Jan 10 2015 12:55:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11480,None,None
/kappaanalytics,How complex is it? How many features/predictors/computing power does it take?,"This is my first project on Kaggle and I try to get an idea of the complexity of the task at hand! Would the leaders accept to share a bit of their methodology, without giving away too much details such that new comers can get up to speed? In particular, - How many features/predictors do you need to distinguish between the 121 classes? - How much computing power/computation time does it take to classify the test sample? - What kind of machine learning algorithms are you using? Thanks",1,bronze,6,Sat Jan 10 2015 13:27:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11481,/competitions/datasciencebowl,570th
/dsjoerg,"Finding the games online, post-contest sharing","I'm sure I'm not the first person to have wondered whether the games in this challenge can be found online somewhere. I'm a Kaggle noob, but I presume that would be cheating, yes? Is there any other kind of external information that would also be off limits? Presumably we are allowed to use chess opening books, yes? Are we allowed to use arbitrary chess game databases to train models? Anyway, even without any cheating concern, I hope the winners and top competitors will share their methods after the contest is over — I find this problem super interesting. The contest-winning models can be used in several ways to improve the world of chess for all players and learners. Good luck to all! :D",1,bronze,1,Sat Jan 10 2015 14:48:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11482,/competitions/finding-elo,2nd
/temi1275514,Machine Learning in route Planning,"Hello Guys, I am new here and I'm a student, my project is on machine learning for an intelligent route planning algorithm. Basically the summary of my project is to use a machine learning algorithm and statistical modelling to process a file containing about 100 deliveries the way an experienced driver would do it. so i would like to ask a few questions that can help me: NB(skill level in machine learning: Beginner) This is a piece from the project: DescriptionGeneral Information: In the environment of logistic and parcel delivery, courier drivers start their day with a cage full of parcels located in the warehouse. They have no knowledge of what is in the cage and need to lay it out LIFO on the floor according to the order they plan to deliver in. They then logically load the van in this order – their vans are often full and it can be difficult to access parcels if they are not loaded in the right order. Drivers typically work in a fixed area and gradually optimize their run over time. For example they learn that certain businesses are closed for lunch, certain collections are not ready until 4pm etc. This can take up to a year for a driver with limited knowledge of the area. Because so much of the route knowledge is in the driver’s experiences, this can create services problems for the operations team when they need to find relief drivers – e.g. when the route driver is sick or on holidays. The goal of this project is to be able to process an unordered file containing circa one hundred deliveries/pickups into the order a regular driver would do it. The task will be to analyse the data coming from the depot in the morning and develop a machine learning algorithm to order the deliveries based on the driver experience. Mandatory: Create an user friendly and intuitive interface for Android to let the driver reorder the morning delivery list. Parse morning files and create a relational database to store the original delivery list received and the reordered list by the driver. Analyse the data with a modelling/statistical software like R or SPSS and create a learning algorithm (Could be neural network/random forest/genetic algorithm). Evaluate and compare the performances of various models and create a benchmark matrix. Develop and embed the model into the production app and test the effectiveness. what category does this fall under supervised or unsupervised learning ?, personally i think it is supervised, where my training data is the reordered list from the driver and the experience is the reordering of the list within a time frame by the driver what learning algorithm is most suitable for this task. NB: Please since I'm just a beginner if there is any extra information you would like to share with me I'm open to it. Thanks! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62565/1882/intelligent-route-planning-algorithm.jpg",18,None,3,Sat Jan 10 2015 15:33:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11483,None,None
/korkolainen,All ones benchmark,Sample submission solution seems like correct way to approach the problem but apparently it was beaten by all ones submission (score 0.010177).,5,bronze,8,Sat Jan 10 2015 17:19:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11484,/competitions/how-much-did-it-rain,157th
/karle1,Infering Plankton size from the images,"the competition states: ... the use of an underwater imagery sensor. This towed, underwater camera system captures microscopic, high-resolution images over large study areas. Can we infer that the camera-system has a fixed field-of-view and focus depth such that all the creatures are of approximate relative size (regardless of the image window size (20x20 vs 200x200). So a tiny creature in a small image can be compared in size to a large creature in a large image?",6,silver,4,Sat Jan 10 2015 20:13:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11485,/competitions/datasciencebowl,652nd
/royberina,downloading data: failed - network error,"i've been trying to download the input data but somehow, i keep getting the message: ""Failed - Network error"". how can i download this properly? some help please. thanks.",0,None,2,Sat Jan 10 2015 22:54:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11486,/competitions/axa-driver-telematics-analysis,None
/wacaxx,Smoothing vs. Outlier Removal (or how to deal with the Hyperspace Jumps),"Hello Kaggle, I've made a short write-up with code about how to deal with data when the trajectories are broken. I've been trying Plotly lately and it's really interesting. I plotted the trajectories of driver number 1. It's a tad heavy but you can see the plot and the code in R, Python and Julia here: [Link]:https://plot.ly/~wacax/39/y-vs-x/ The full explanation can be found here: [Link]:http://rpubs.com/wacax/53228 As usual, feedback is always welcome.",11,silver,4,Sun Jan 11 2015 02:12:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11487,/competitions/axa-driver-telematics-analysis,303rd
/martinthoma,Winning Strategies,"Could some of the best teams please share their ideas / solutions? I would really like to know what strategies were applied by the highest ranking people. I know that some people make blog posts after a competition is over. A link to such a post would be fine, too.",2,bronze,3,Sun Jan 11 2015 12:58:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11488,/competitions/helping-santas-helpers,268th
/filipus,fastread in R,"I tried to implement ftrl using R... well, in R the reading procedures are very slow last try was the fastread package. read_csv is pretty fast but I can not load the complete file (40 Mio) because read_csv tells me Error: No lines found in ""train"" has anybody an Idea",0,None,3,Sun Jan 11 2015 13:50:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11489,/competitions/avazu-ctr-prediction,951st
/blackeagle,accuracy vs. nll,I am using SVM for classification and then converting its output to probabilities using a variety of techniques before evaluating nll. For an accuracy (121 class) of 73% I am getting an nll of 1.09 but I have a feeling my probability conversion techniques is sub-optimal and ideally I should get much better nll than what I have now. Do you mind sharing your nll and corresponding accuracy for reference?,1,bronze,2,Sun Jan 11 2015 19:35:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11490,/competitions/datasciencebowl,None
/ildefons,TimeToEnd is in seconds or minutes?,"Dear Competition Admin, The TimeToEnd column is defined as: ""How many seconds before the end of the hour"" However values look like ""minutes before the end of the hour"" For instance id 100 the timeToEnd column starts like: 55.0 46.0 42.0 37.0 32.0 28.0 23.0 18.0 14.0 9.0 4.0 58.0 54.0 50.0 45.0 41.0 37.0 32.0 28.0 24.0 19.0 15.0 11.0 7.0 2.0 Can you please confirm seconds or minutes? Thank you, Ildefons",1,None,1,Sun Jan 11 2015 19:35:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11491,/competitions/how-much-did-it-rain,None
/djgagne,Rain Rate Units,What are the units of the rain rate variables? I am assuming mm/hr but wanted to be sure since the data description page did not specify them.,0,None,2,Sun Jan 11 2015 22:22:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11492,/competitions/how-much-did-it-rain,11th
/potamitis,Feature based approaches,I was wondering if someone using only feature based + shallow learning wants to share public ldb score or cv to see how they compete to deep learning. I use morphological features+RF: 1.61 on public ldb,1,bronze,5,Mon Jan 12 2015 10:41:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11495,/competitions/datasciencebowl,80th
/herimanitra,kaggle cloud computing,"Just an idea: Why don't kaggle provide us some sort of cloud computing where each participant of a given competition could upload and run their code. Then if someone is willing to access additional memory, He may pay something to kaggle. pros: reproducibility,simplicity",1,None,2,Mon Jan 12 2015 14:36:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11497,None,None
/del=444c9806405403bd,Memory limit  Ubuntu,I am using R for some computation via one station with 4 gb RAM and and on another station with 10 gb RAM and Ubuntu . The ellapsed time is the same. I am searching a coresponding function for Ubuntu for the windows memory.limit() .Any suggestions?,0,None,1,Mon Jan 12 2015 15:05:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11498,/competitions/axa-driver-telematics-analysis,None
/oneoff,How many rows training dataset contains ?,How many rows training dataset contains ?,0,None,1,Mon Jan 12 2015 15:06:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11499,/competitions/avazu-ctr-prediction,1368th
/user3qed32qw,Kdp = 0 for all datasets?,Can I confirm whether the Kdp (Differential phase) values are correct in the datasets? It seems to be 0 for all datasets (both train and test),3,bronze,13,Mon Jan 12 2015 15:49:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11500,/competitions/how-much-did-it-rain,152nd
/rorycampbell,Is it possible to improve the efficiency/profit an industrial process without any knowledge of the technical details,"Is it possible for a data scientist to use raw data from a complex industrial process (e.g. an ore refinery) to improve productivity, even if they only had a basic understanding of the mechanical and chemical processes taking place inside the factory? If so what information would be required?",0,None,2,Mon Jan 12 2015 16:01:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11501,None,None
/atlantageek,duplicate trips,Were duplicate trips taken out of the dataset. I would have expected that there would be some trips that would be the same shape as others with just a rotation. (commutes) But Im not seeing this in the first few drivers that I analyzed.,0,None,8,Mon Jan 12 2015 17:03:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11502,/competitions/axa-driver-telematics-analysis,1168th
/del=0344ac6154f2b9d5,An AWS AMI (mainly) for deep learning,"I've created an AMI for AWS EC2 (g2.2xlarge): ubuntu14.04-mkl-cuda-dl (ami-03e67874). Installed stuffs: CUDA 7.0, cuDNN v2, theano, pylearn2, CXXNET, Caffe, cuda-convnet2, OverFeat, nnForge, Graphlab Create (GPU), etc. Please do git pull (and re-compile if necessary) frequently for the folders under ~/repositories. Hope it can save you some time from configuration/compilation and helps focus more on getting started. Note: for theano, I did a ""python setup.py develop"" for Python 2 but a ""python3 setup.py install"" for Python 3 because it raises some syntax errors if I do a ""python setup.py develop"" for Python 3. If I should have handled this in a better way please tell me. Other packages in ~/repositories were installed via the develop option. I now recommend the docker images maintained by Kaixhin: https://hub.docker.com/u/kaixhin/",7,bronze,25,Mon Jan 12 2015 22:44:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11505,None,None
/scottdh,Reversals in the trip ?,"Can we assume that two trips were not pasted together ? My cursory look at several trips for driver 1 shows more double backs than I expected to see. For instance, driver 1 on trip 8 took a 200 meter detour and remained stopped for ~ 30 seconds or so. (see the attached image) Can we assume that this is a person dropping their kids off at school, or getting fast coffee as opposed to a person who stops for 30 minutes, the GPS shuts down and then resumes their travel and the GPS starts up again ? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62676/1892/driver_picture.png",0,None,2,Tue Jan 13 2015 06:25:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11506,/competitions/axa-driver-telematics-analysis,2nd
/liananapalkova,Creation of the train set,"Since there is no labelled test data, the question is what is the good approach to create the train set for a classifier? One of approaches was proposed [Link]:https://www.kaggle.com/c/axa-driver-telematics-analysis/forums/t/11299/score-0-66-with-logistic-regression. The idea is to create a train set that consists of 200 trips made by the current driver (target = 1) and 1000 trips made by other drivers (target = 0). It's obviously that the test set consists of 200 trips made by the current driver. I assume that, in this case, over-fitting may occur if a complex classifier is used. I made some experiments with different number of the current driver's trips in the train set (200, 100, 50). The best solution was received when all 200 trips were included in the train set. What is the opinion of other participants?",5,bronze,17,Tue Jan 13 2015 12:17:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11508,/competitions/axa-driver-telematics-analysis,468th
/mootjeh,IMPORTANT: Cheating possible - remove data link asap,"Dear Kaggle team, I tried to enter my findings as a 'bug' under the contact area of the website, only it would not send.. Therefor I decided to use the forum instead. I would like to make you aware of the fact that the Forest Cover Type Prediction exercise can be cheated on. During my first-time visit to this webpage, I accidentally downloaded the wrong dataset of over 800000 records that seems to include all records of the test-set as well. In the case description the following is stated: ""We also thank the UCI machine learning repository for hosting the dataset. "" When clicking the link and then clicking 'Dataset', you are able to download a file named covtype.data.gz. Please either make sure this link is removed asap or close the case. Kind Regards, Monique,",3,None,3,Tue Jan 13 2015 17:16:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11512,/competitions/forest-cover-type-prediction,None
/nishkgp,Bounding Probabilities for logloss calculation,"Hi, This is a question especially for admins. The evaluation page just shows the formula for logloss but does not reveal the upper and lower bound of probabilities used for calculating logloss on leaderboard(if there is no upper and lower bound, log loss will be infinity like log(0) , so there must be some bound). Can we please know the exact equation which we are trying to optimize in this competition or point me to the link in case you have already published it. Thanks for your help !",0,None,2,Tue Jan 13 2015 19:54:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11513,/competitions/avazu-ctr-prediction,8th
/wcukierski,Getting Started on Domino Data Lab,"Our friends at Domino have published a nice post to get started on this competition. Not only do they walk you through setting up the getting started tutorial in the cloud, but they add some nice features around version control, productionalizing, and parallelizing. It's well worth a read - [Link]:http://blog.dominodatalab.com/how-to-get-started-with-the-data-science-bowl/",5,bronze,3,Tue Jan 13 2015 22:28:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11514,/competitions/datasciencebowl,None
/evkdev,Hydrometeor type,"In data encoding section, the following hydrometeor types are listed: 0-no echo; 2-moderate rain; 3-heavy rain; 4-rain/hail; 5-big drops; 6-AP; 7-Birds; 8-unknown; 9-no echo; 10-dry snow; 11-wet snow; 12-ice crystals; 14-graupel However, in dataset there a quite a few hydrometeor types with values 1 and 13, which are not listed here. How such values should be treated?",1,bronze,1,Wed Jan 14 2015 10:47:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11516,/competitions/how-much-did-it-rain,None
/jainkunal,Data Science Learning path on Python,I have created a learning path for people who want to use Python to compete in Kaggle competitions or learn data science using Python: [Link]:http://www.analyticsvidhya.com/blog/learning-path-data-science-python/ Do let me know what you think about it? Feedback / suggestions welcome.,8,bronze,1,Wed Jan 14 2015 18:43:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11518,None,None
/skandarora,Beginner: Where to start?,"I've done ML Course offered by Andrew Ng, Stanford. Apart from that, I don't have any significant experience related to data science. I want to learn and do some cool projects. Just guide me with which project should I start now?",0,None,3,Wed Jan 14 2015 22:49:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11519,None,None
/aspaceo,Random Forrest Behaving Strangely?,"Hi guys, I'm not to familiar with random forrests and I'm having a problem with one that perhaps somebody will be able to shed some light on. I have a simple classification problem, 0 or 1. Dataset is 600 in total, and an even split between each category. I have about 40 variables, a few null values and def. some issues of correlation between variables but nothing (as far as I am aware) a tree can not take in it's stride. A simple, single tree built via the rpart package in R performs pretty well, about 90% accurate. I've then attempted to build a random forrest via the bigrf packing in R across a range of trees 50 - 1000. Each time to forrest basically predicts almost exclusively one class for all observations, with just a few alternative predictions, certainly nothing approaching any accuracy. My expectation was that a random forrest should provide some gain in accuracy, certainly it would perform at least as well as a lone tree. Can anyone shed any light on why my RF would perform so poorly, or any conditions under which a random forrest could be expected to perform so poorly? Huge thank you to any advice you can offer!",0,None,1,Thu Jan 15 2015 00:24:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11520,None,None
/maineiac,Just out of curiosity....,"Who are all the people with names like MG123456, DZ98765 etc.? Are you taking a machine learning class? Any of you want to chime in on the awesome choice of names? (I was considering changing mine just to fit in)",11,silver,24,Thu Jan 15 2015 06:38:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11521,/competitions/avazu-ctr-prediction,95th
/maineiac,Anybody still using Vowpal Wabbit for this one?,"If so, want to share your best leaderboard scores so far? I was having a hard time breaking 0.40 before switching over to the code provided by tinrtgu. I'm sure I'll go back to it before too long, but just wanted to see if anyone out there was having success with it this time around.",0,None,27,Thu Jan 15 2015 06:55:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11522,/competitions/avazu-ctr-prediction,95th
/msegala,Any luck with ZCA+Whitening?,"Hi everyone, I was playing around with different preprocessing steps and I noticed that if I first normalize all my features to [0-1] and then apply ZCA + whitening I get worse results by about 10%. Has anyone had any luck with this or can suggest a better approach. My current setup is to just scale the features to the range of [0-1] and this combined with my learning algo lands me a score of 1.3. Thanks!",1,bronze,1,Thu Jan 15 2015 15:04:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11524,/competitions/datasciencebowl,93rd
/bruschkov,Tutorial: 0.433 score with randomForest in R,"Hello, I created a little tutorial on how to reach a reasonably good score using Rs randomForest package. By following the tutorial you will learn how to do basic data manipulation with R, perform basic Feature Engineering and use the randomForest package. The tutorial as well as the corresponding R file are attached to this post. It's way too long for a forum post and I don't have a blog. (If anyone wants to publish this on her or his blog, feel free to contact me anytime) Hope you enjoy this, let me know your feedback. EDIT: Changed some minor details in the Tutorial and added a section ""Validation"". [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62752/1893/randomForest_TUTORIAL.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62752/1894/Tutorial_kaggle_Bikesharing_randomForest.pdf",12,bronze,18,Thu Jan 15 2015 16:28:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11525,/competitions/bike-sharing-demand,569th
/ydhiman,Is something wrong with data for driver 1634 on trip 136,I have strange values in this file which making data extremely skewed.Is it making sense.,0,None,2,Thu Jan 15 2015 18:00:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11526,/competitions/axa-driver-telematics-analysis,489th
/julesvanligtenberg,28089.jpg from test size: 0 bytes?,Can anyone please check/confirm? Is it correct that 28089.jpg from test.zip has a size of 0 bytes? I downloaded and unpacked the test data twice both times with the empty file. Thanks,0,None,4,Thu Jan 15 2015 20:27:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11527,/competitions/datasciencebowl,23rd
/aseem1,Do they take turns at high speed?,"How do we comprehend this criteria ? If the turn is big with enough banking, its ok to take high speed turn. If turn is narrow and the driver is going with a speed x and he continues through the turn with the same speed that is dangerous. suppose Speed of a driver at a turn determines whether he is safe or not. If the driver's speed prior to the turn is x+5 and at turn is x. If another drivers speed at a turn is x and prior to the turn also is x. Both are safe i guess. We are required to classify in every file if every trip is made by the driver in that file or not. So is the turn information important?",1,bronze,11,Fri Jan 16 2015 00:46:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11529,/competitions/axa-driver-telematics-analysis,None
/fishpam,Show filters from the 1st convolution layer,I trained a DCNN model and observed the first convolution layers. Can anyone share it ? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62786/1896/figure.jpg,0,None,12,Fri Jan 16 2015 11:56:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11531,/competitions/datasciencebowl,292nd
/mohammadabdullah0,Easy Python Code to Achieve 77% Accuracy Rate,"This is my approach to achieving 77% accuracy rate on the titanic problem. The code is easy to read python code and is self explanatory. The code explains how to massage data, scale features, extract most important features, optimize hyperparameters, plot learning curves and finally make a prediction. Cheers. [Link]:https://github.com/moeabdol/titanic",1,None,2,Fri Jan 16 2015 16:34:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11533,/competitions/titanic,None
/msegala,Interested in sharing strategies for CNNs?,"Hi everyone, I was wondering if anyone is interesting in sharing training strategies for convolutional neural nets (or other deep learners)? We don't have to team up or share code, I thought it may just be useful to bounce successful/unsuccessful ideas of each other. If anyone is interested (and I will share first) please let me know and we can email.",1,bronze,34,Fri Jan 16 2015 21:18:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11534,/competitions/datasciencebowl,93rd
/tavish,How to use the sample code,"I have not used argumentParser much. Can someone tell me how to run the sample code provided (with the files). Here is the code end for reference : parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('--input', type=argparse.FileType('r'), help=(""path to an input file, this will "" ""typically be train_2013.csv or "" ""test_2014.csv"")) parser.add_argument('--output', type=argparse.FileType('w'), default=sys.stdout, help=(""path to an output file, "" ""defaults to stdout"")) # parse the arguments and run the handler associated with each task args = parser.parse_args() produce_solution(args)",0,None,3,Sat Jan 17 2015 11:22:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11538,/competitions/how-much-did-it-rain,208th
/xwangstat,"Question about Evaluation, thanks!","Dear competition participants, competition administrators, Sorry to bother you guys. I know the question is silly. Could anyone please explain how to evaluate the results? What does it mean by using a double sum here? https://www.kaggle.com/wiki/LogarithmicLoss Thank you in advance. :) Best, Xiao",0,None,2,Sat Jan 17 2015 20:00:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11539,/competitions/avazu-ctr-prediction,843rd
/haibowu,About NULL value and meanings of some variables ,"I'm a new here. I was confused when doing some data clean work. First, I tried to find null value in datasets, and I just find some hash code which are most frequency such as site_id:85f751fd, site_domain:c4e18dd6. The result was reported by laserwolf in [Link]:http://www.kaggle.com/c/avazu-ctr-prediction/forums/t/10819/unique-missing-train-and-test-values. But I'm not sured that's correct. And I found Steve Wang(admin) said that null is hashed to d41d8cd9 in [Link]:https://www.kaggle.com/c/avazu-ctr-prediction/forums/t/10852/null-values-in-datasets. But I couldn't found d41d8cd9 in my dataset. So what's the answer, why admin hid NULL value? Second，I found Steve Wang mentioned 'device_make' in [Link]:https://www.kaggle.com/c/avazu-ctr-prediction/forums/t/10729/welcome-to-avazu-ctr-prediction-contest when talk about means of some variables, but I can't found the device_make in my dataset. Does I miss something?",1,None,2,Sun Jan 18 2015 03:49:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11542,/competitions/avazu-ctr-prediction,1341st
/kkeyes,look for stable python svm lib,"I have used [Link]:http://scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM to find outliers in the trips of one driver. The data shape is [200, 80] , but when i ran10+ times on 10+ drivers, the program crashed. On the stackoverflow.com I found someone asked the same problem, but no one answered. Has anyone found some stable OneClassSVM lib? Please give me some message if you know something about this, thanks a lot!",0,None,5,Sun Jan 18 2015 14:07:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11544,/competitions/axa-driver-telematics-analysis,1087th
/r2d2007,Raw data checksum,I'm not sure my downloaded files are correct or not. I list their checksums in the following: $ md5sum rawdata/*.zip a5bae2f79ac2fa0818d5a6c76bd930a9 rawdata/sampleSubmission.csv.zip8f50c4a890459b763527a90f66e739de rawdata/test.zip31e522169650d40df6311d4d69426517 rawdata/train.zip$ sha256sum rawdata/*.zipdac084bf612c017030e61d6c4c9a6b70fec612adec085e660d3d39416d9c44ea rawdata/sampleSubmission.csv.zip78621b14662bd354fa0f5f4d305b2b590c55587b722c6f9b87156099a9b88a11 rawdata/test.zipb7bd9c66148cf1c36bcf622ddde158100725c239df3b5e63b8a431602f973d68 rawdata/train.zip Does anyone can help me to confirm it?,0,None,1,Mon Jan 19 2015 07:13:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/11546,/competitions/datasciencebowl,1041st
/jvorwald,"Question on the data driver, vehicle, and artificial test set","In the description of the data Each folder represents a driver. Within each folder are 200 .csv files. Each file represents a driving trip. and A small and random number of false trips (trips that were not driven by the driver of interest) are planted in each driver's folder. These false trips are sourced from drivers not included in the competition data, in order to prevent similarity analysis between the included drivers. Does 'same driver' mean a specific person operating a specific vehicle, or different people operating the same vehicle, or a specific person operating different vehicles? Also, are the false trips from the same vehicle with a different driver, or are both the vehicle and driver changed. And, for a driver folder, do the false trips all come from the same different person/vehicle? Finally, if N drivers are selected from the provided group, and then seeded with random trips from the remaining drivers, does this essentially generate a smaller data set with known driver/non-driver, ignoring the false drivers?",0,None,1,Mon Jan 19 2015 14:32:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12277,/competitions/axa-driver-telematics-analysis,None
/saswanson1,Interesting paper ,"While learning about different similarity measurement techniques for clustering, I came across this paper: ""Similarity Measurement of Moving Object Trajectories"", thought I'd share. Enjoy. http://www.cise.ufl.edu/~mschneid/Research/papers/LS12IWGS.pdf",9,silver,8,Mon Jan 19 2015 18:46:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12279,/competitions/axa-driver-telematics-analysis,1026th
/inversion,Unfair Competition!  :-),Well . . . this is certainly going to keep the rest of us on our toes! :-),7,silver,7,Mon Jan 19 2015 21:49:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12280,/competitions/how-much-did-it-rain,148th
/llee1283381,How can it be more beneficial to the competition participants ?,Since only the champ gets reward that says 99% of the effort is wasted. How can competition be more beneficial to the none champ competition participants ?,1,None,7,Tue Jan 20 2015 02:53:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12281,None,None
/predict2,Sample code changes for Python 3,"I found a couple a things that need to be changed for use in python 3 1. Line 38 : header = reader.next() change to header = next(reader) 2. Line 44: Uses xrange, python 3 uses range. Hope this helps.",0,None,2,Tue Jan 20 2015 08:38:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12282,/competitions/how-much-did-it-rain,254th
/genopharmix,Does anyone have a dataset already generated that would like to partner on?,My team has a few nifty variants for comparing vectors. Thanks.,0,None,1,Tue Jan 20 2015 22:02:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12285,/competitions/datasciencebowl,None
/rockstreetani,Using Doc2Vec from gensim.,"I used word2vec with logistic regression to get a score of 0.92. I am now trying my hand on using Doc2Vec. But I am getting this error. 2015-01-21 12:59:07,950 : INFO : collecting all words and their counts2015-01-21 12:59:07,950 : INFO : PROGRESS: at item #0, processed 0 words and 0 word typesTraceback (most recent call last): model = Doc2Vec(sentences)AttributeError: 'list' object has no attribute 'words' Could anybody help me so as how to use Doc2Vec?",0,None,18,Wed Jan 21 2015 08:36:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12287,/competitions/word2vec-nlp-tutorial,None
/del=220e353250f88ef9,Understanding Random Forest benchmark code in R.,What this line is actually doing ? How come predicted comes in ? predictions <- levels(labels)[rf$test$predicted],1,bronze,1,Wed Jan 21 2015 11:56:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12288,/competitions/digit-recognizer,None
/vish2win,Submission Issue,Facing an issue with the submission. I am getting the below error message: 'Submission must have 4577464 rows'. But the Test set has 4769402 rows including the headers. Then how could the submission only 4577464 rows. Can somebody please clarify?,1,bronze,3,Wed Jan 21 2015 12:19:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12290,/competitions/avazu-ctr-prediction,752nd
/muckymuck,[R] Optimization using existing GLM,"Firstly I'm creating a model for dependent variable y in [R] (e.g. via lm or glm) on a training set dataframe based on historic input variables (the x's). I then want to be able to predict future y using this model. The complexity I have is that I have additional models for some of these input variables that I used in training (in training they were static values), and these input vars can have dependency on an external variable z. I want to run through an optimization routine to minimize y with respect to only changing variable z. I'm looking to build a solution that scales well with complexity of the given functions (e.g. with hundreds of input variables in a glm). The predict function scales (esp. in terms of code complexity) brilliantly with complexity on static datasets - but I don't think I can tap into this in this instance. Bonus if this can support other machine learning models rather than just regression based models. Thanks for reading!",0,None,1,Wed Jan 21 2015 14:02:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12291,None,None
/omoekan09,Error using xgboost with multi:softprob objective,"I am trying to use the R package xgboost with the multi:softprob objective for this competition but each time RStudio crashes and gives he following error message. Error in xgb.iter.update(bst, dtrain, i-1, obj): SoftmaxxMultiClassObj: label exceed num_class Error in function(): SoftmaxMultiClassObj: label exceed num_class I set num_class =121 and the response variable (label) is a factor with 121 levels. So I don't understand where the error is coming from. Any ideas what is going on?",0,None,2,Wed Jan 21 2015 16:23:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12293,/competitions/datasciencebowl,559th
/jokr283752,TimeToEnd: Seconds or Minutes?,"On the data page there is this description: ""TimeToEnd: How many seconds before the end of the hour was this radar observation?"" The data in the column however look much more like minutes. Can you confirm?",0,None,1,Wed Jan 21 2015 16:58:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12294,/competitions/how-much-did-it-rain,164th
/aminkarimian,Evaluation,"Hi guys, can anyone tell me about Evaluation method? I really need it's code in python! Help please!",0,None,1,Wed Jan 21 2015 18:53:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12295,/competitions/avazu-ctr-prediction,1115th
/zkfairytale,Any suggestions on doing local evaluations?,"Here is my current strategy: Take the current driver's 200 trips as positive training data Sampling 200 trips from other drivers as negative training data Use Gradient Boosted Regression Trees (GBRT) from [Link]:http://scikit-learn.org/stable/modules/ensemble.html#gradient-tree-boosting Run 5-fold cross validation (My feature vector contains max & min & average & std of speed, acceleration, trip length etc.) Using this simple model, I can get a CV accuracy around 90%. But after I submitted to the leaderboard, it's only around 0.83. Sometime, under different parameter setting and sampling strategy, I can get CV accuracy around 95%. But the leaderboard score is still around 0.83. My opinion is that, even if I can get a CV accuracy of 100%, this is still not a good indicator of the leaderboard score. Because this 100% means the classifier can distinguish current driver's 200 trips from the other sampled negative trips, but not distinguish it from the noise inside the current driver's trips. Does anyone have some thought about doing local evaluations or training strategies? Thanks, Kai",4,bronze,67,Wed Jan 21 2015 22:25:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12299,/competitions/axa-driver-telematics-analysis,124th
/mlopezm,Simple function to plot the trajectories,"A simple R function I've done to plot the trajectories, in case it is useful. Ways to use it: > plotDriver(2349) # plot the trajectories of driver #2349 > plotDriver(256,259) # plot the trajectories for drivers #256 to #259 (4 drivers) - You will need to customize the location of your data in: dirPath = paste0(""drivers/"", driver, '/') change ""drivers/"" for whatever path is the data located. - Library ggplot2 is needed. - Don't plot many drivers in one call or you will have to wait....a bit saludos [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/62988/1905/plotDriver.R",4,bronze,8,Wed Jan 21 2015 23:40:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12300,/competitions/axa-driver-telematics-analysis,72nd
/aseem1,Skewed images,Are all images skewed. All images look perfectly to be from a side angle or the top. If so that is great !! If not may be i did not see enough. thanks,0,None,1,Thu Jan 22 2015 04:42:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12301,/competitions/datasciencebowl,797th
/ma2rten,Benchmark score question,According to the leaderboard the uniform probability benchmark is 4.795791 Should it not be: -log(1/121) = 2.08,0,None,2,Thu Jan 22 2015 08:22:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12302,/competitions/datasciencebowl,751st
/ronanmoynihan,Stanford NLP - Training is not converging.,"Hi All, I have converted the training data into PTB format to train the Stanford Sentiment Analysis tool. The Kaggle input file contained 8,544 sentences and the BuildBinarizedDataset class in the Stanford NLP code outputs 8,528 trees so I don't know why it lost some of the sentences. I split the data intro train and dev and is very similar in size to the Stanford train and dev data.The data looks correct and similar to the Stanford training data but when I then try and train the sentiment model the batch cost keeps oscillating between approx 35 to 65 and the accuracy does not go above approx 40% even after training for 11 hours (400 epochs). Has anyone experienced similar problems? Ronan",1,bronze,12,Thu Jan 22 2015 15:19:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12304,/competitions/sentiment-analysis-on-movie-reviews,423rd
/christopherbjohnson,Career Fork in the Road,"Hello!In the past year I have become very interested in Data Science. Ultimately, I want to be a Data Scientist using machine learning to create predictive software. I am currently a Data Analyst mostly working in Excel with a little SQL. I am doing many of the things people suggest such as online courses on Coursera, personal data science projects (my own website using machine learning), and just generally studying everything, and now have at least entry level skills in SQL, R, Python, MongoDB, and web development. I'm now looking for a new job, and it looks like I have a few different directions I can go. I can look for a SQL Data Analyst job with some R work, an ETL/Data developer job more focused on SSIS and data warehousing, or a junior level developer or programming job using Java. All of these technologies and skills seem relevant to Data Science. So, what do you think is the best direction for me to go in to achieve my goal?Thank you for your input,Chris",0,None,1,Thu Jan 22 2015 16:07:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12305,None,None
/polarbear2,Same type of GPS devices?,"The accuracy of a GPS position is partly dependent on the capability of the GPS device. Is it safe to assume that the same type of GPS devices has been used in all trips, for instance specific tracking devices supplied by AXA? Or is it possible that a variety of devices have been used, for instance the car owner's private smartphone?",1,bronze,2,Thu Jan 22 2015 16:30:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12306,/competitions/axa-driver-telematics-analysis,None
/mquad88,Final code and description delivery,"Dear competitors, we are quickly arriving to the end of our competition. As you know, you are required to deliver the source code and a description of your algorithm. The deadline is set for the 7th February, 2015 at 23.59 CET. You have to upload a compressed archive named with the name of your group to [Link]:https://beep.metid.polimi.it/web/2014-15-advanced-user-interfaces-technology-paolo-cremonesi-/consegne?p_p_id=20&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1&_20_struts_action=%2Fdocument_library%2Fview&_20_redirect=https:%2F%2Fbeep.metid.polimi.it%2Fweb%2F2014-15-advanced-user-interfaces-technology-paolo-cremonesi-%2Fconsegne%3Fp_p_id%3D20%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26p_p_col_id%3Dcolumn-1%26p_p_col_count%3D1%26%23p_20&_20_folderId=98135017&#p_20 page (Polimi authentication is required). The archive should contain: - a text file containing the data of the components of the group (Name, Surname, Matricola and email) - the source code together with a brief documentation - the description of the adopted solution That's it! Enjoy the last stages of the challenge! Max PS. Private leaderboards will be updated daily from now on! EDIT: The submission link was wrong. Please check the new one.",0,None,4,Thu Jan 22 2015 16:55:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12307,/competitions/aui-technology-2014-competition-new,None
/robrob,Are Hyper Location Shifts Outliers?,"GPS, Glonass, or GNSS receiver positionings are likely subject to multipath artifacts causing what appears to be large location shifts. Think of commuters driving where signals have to bounce around skyscrapers to make it to the vehicle. These large position changes ripple through generated features like speed and acceleration. But should they be excluded as outliers? Your results will vary, but 55% of the driver folders have at least one route with speeds exceeding 100 mph. There are almost 200 driver folders that have five or more routes exceeding 100 mph. There are 16 driver folders with more than 20 routes exceeding 100 mph. I'm not inclined to ignore these and potentially group them as False Driver Routes. Being fairly new to machine learning I realize some models will get desensitized by these ""outlier"" cases. But so far I've included them in bagging (randomForest) based approach with OK results. Definitely interested in community dialog on this topic.",0,None,3,Thu Jan 22 2015 16:56:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12308,/competitions/axa-driver-telematics-analysis,297th
/shrenikgala,Project ideas,"Hey guys, I'm a budding data scientist and for my course I have to build a semester long project based on data intensive computing. My professor has suggested me to use technologies like hadoop,hpcc or nosql databases. I wanted to know if there are any websites that can help me come up with project ideas and also I would be glad if other people in this community can suggest me a few ideas since I'm new to these technologies. Thanks",5,None,3,Thu Jan 22 2015 19:21:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12309,None,None
/rudisophieson,Looking for a team,"Hey kagglers, I am new to kaggle and really looking forward to sharing knowledge with you. I already have experience in multivariate statistics, Python and R programming. I would like to join an existing team or to team up and getting started. So, if anyone is interested, please feel free to contact me. Cheers, Lars",0,None,4,Fri Jan 23 2015 09:06:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12313,/competitions/digit-recognizer,None
/elenacuoco,scikit-learn,Did someone use scikit learn? I'm using scikit-learn and I'm stuck at 0.397...,3,bronze,23,Fri Jan 23 2015 09:20:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12314,/competitions/avazu-ctr-prediction,340th
/del=444c9806405403bd,Searching for a new team member,I am interested to find a new member in my team . It woul be ok that the new member works in R and Europe time. Find me here : alexandru130586 at yandex.com,1,bronze,2,Fri Jan 23 2015 21:37:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12315,/competitions/axa-driver-telematics-analysis,None
/yukatherin,Looking for a partner to build a recurrent neural network,"Hi, I am looking for someone to build a recurrent neural network with me, in Matlab. We would start with the simplest kind and move up. I am about 70% there conceptually, but I would like someone to figure out and check the back-propagation steps in detail with me, and then tune it and troubleshoot it until it works. I have vanilla neural nets in Matlab working (which got me to my current place). I figure since this whole competition is based on that algorithm, I would like to get one working. Please reply if interested.",0,None,5,Sat Jan 24 2015 09:45:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12319,/competitions/sentiment-analysis-on-movie-reviews,24th
/jiweiliu,python code to automatically draw repeated trips,"Hi kagglers, I'd like to share a simple python code to automatically detect and draw repeated trips. it takes 4 or 5 mins to process one driver. edit: I really appreciate it if anyone could share how to improve this idea or further take advantage of it. usage: python draw_repeated_trip.py ../../data/drivers -1 # -1 means a random driver python draw_repeated_trip.py ../../data/drivers 120 # driver 120 python draw_repeated_trip.py ../../data/drivers 120 0.1 # threshold = 0.1 the default value is 0.05, which controls the tolerance to detect 'same' trips. smaller value means lower tolerance so that fewer repeated trips are found but also less error. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63101/1913/figure_1.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63101/1914/draw_repeated_trip.py",21,gold,35,Sat Jan 24 2015 18:01:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12321,/competitions/axa-driver-telematics-analysis,22nd
/sanjeevkumar0,Reading Data Files in MATLAB,Suppose we would like to read these files using textscan command or something else in MATLAB. Is anybody some idea how to do it? Thanks in advance. Sanjeev Kumar,0,None,1,Sat Jan 24 2015 18:45:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12322,/competitions/how-much-did-it-rain,170th
/falcon777,set_bart_machine_memory,"Hello Everybody: function ""set_bart_machine_memory()"" has been removed in the new version 1.1.1. Does anybody know what is the function what I must use instead of it? Thank you very much.",-1,None,2,Sat Jan 24 2015 21:35:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12324,/competitions/avazu-ctr-prediction,1361st
/efglynn,Duplicate images,"If this were a ""normal"" data analysis project (and not a competition), I would remove a number of the images as duplicates. I found duplicates by comparing md5sums of the image files. Train set. Image 14864.jpg in chaetognath_non_sagittal and Image 271.jpg in chaetognath_other have the same md5sum, the same number of bytes, and visually look identical. Test set. In the 93,789 test images I found only 72,397 unique md5sums. A count of the number of duplicates shows this: counts 1 2 3 4 5 6 7 857513 9931 3695 1004 218 30 5 1 Only 57,513 images had no duplicates. There were 9931 cases where two images shared the same md5sum. ... 5 cases of 7 images matching, and 1 case of 8 images matching. Here are the image numbers of the 8 identical images in the test set: 1008411733612087813731015925131053952756867 Here are the image numbers of one of the 5 cases of 7 duplicates: 1157412828199763652148474951859124 Prediction is likely not that CPU intensive once a model is built, so the 21,391 duplicate test images that could be eliminated are perhaps not that big of a deal, but do introduce a likely minor overrepresentation bias. Duplicates between Train and Test Sets? Luckily, there was only one: 159128.jpg from appendicularian_straight matches test set image 108193.jpg. For additional details on the duplicates and how they were found, see https://github.com/EarlGlynn/kaggle-plankton",9,silver,5,Sun Jan 25 2015 06:12:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12326,/competitions/datasciencebowl,753rd
/xudongcao,one interesting observation,"It seems the data are generated by a segmentation algorithm. You can see this from the attached two images. raw = 255 - img; times_by_100 = uint8(1000 * raw) However, I am not sure whether it is useful for the performance :( [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63131/1919/raw.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63131/1920/times_by_1000.jpg",8,silver,8,Sun Jan 25 2015 09:44:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12327,/competitions/datasciencebowl,2nd
/qianchess,why,"Could not parse ' ' into expected type of Double (Line 7426, Column 8)Could not parse ' ' into expected type of Double (Line 1895237, Column 21)Could not parse ' ' into expected type of Double (Line 1968143, Column 21)Could not parse ' ' into expected type of Double (Line 1975336, Column 21)Could not parse ' ' into expected type of Double (Line 2028124, Column 22)Could not parse ' ' into expected type of Double (Line 2214904, Column 21)Could not parse ' ' into expected type of Double (Line 2234011, Column 21)Could not parse ' ' into expected type of Double (Line 2240793, Column 21)Could not parse ' ' into expected type of Double (Line 2281284, Column 22)Could not parse ' ' into expected type of Double (Line 2288741, Column 22)",-7,None,1,Sun Jan 25 2015 17:39:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12328,/competitions/avazu-ctr-prediction,None
/davider,Under-performing Random Forest code. What's wrong?,"Hello, instead using the RF Benchmark I tried to use cforest_unbiased. The performance is bad: 0.69186 but I don't understand what's wrong. Any suggestions? set.seed(666) train <- read.csv(""data/train.csv"", header=TRUE)test <- read.csv(""data/test.csv"", header=TRUE) fit <- cforest(label ~ ., data=train, controls=cforest_unbiased(ntree=1000, mtry=3)) Prediction <- predict(fit, test, OOB=TRUE, type = ""response"") submit <- data.frame(ImageId = labels(Prediction), Label = Prediction) write.csv(submit, file = ""digit-rf.csv"", row.names = FALSE)",0,None,3,Sun Jan 25 2015 20:18:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12329,/competitions/digit-recognizer,None
/jgonagle,Plankton Chart in Text Form,"Hi all, I wrote up a text version of the plankton chart (pasted below) with each level of depth in the hierarchy indented by a tab (4 spaces, actually). Categories that aren't labels (e.g. Gastropod) begin with capital letters while labeled categories are with the given lowercase name. In the case that a labeled category fell under another labeled category in the chart (e.g. hydromedusae_solmaris and hydromedusae_narco_young), I placed both under an unlabeled (i.e. capitalized) category, so that all categories with subcategories are unlabeled. Thus, the only categories that have labels associated with them are leaves in the hierarchy tree. When labels either weren't represented in the chart or were unconnected in the chart, I placed them in the obvious categories. I figured this chart may be useful in the case that you're using some sort of Bayesian model and don't want to hard code the categories your self. Cheers! Omega Plankton Protist Acantharia_Protist acantharia_protist acantharia_protist_big_center acantharia_protist_halo protist_noctiluca Protist_Other protist_other protist_star protist_fuzzy_olive protist_dark_center Radiolarian_Colony radiolarian_colony radiolarian_chain Trichodesmium trichodesmium_tuft trichodesmium_bowtie trichodesmium_puff trichodesmium_multiple Diatom diatom_chain_string diatom_chain_tube Gelatinous_Zooplankton jellies_tentacles Pelagic_Tunicate Appendicularian appendicularian_fritillaridae appendicularian_s_shape appendicularian_slight_curve appendicularian_straight Tunicate Tunicate_Doliolid tunicate_doliolid tunicate_doliolid_nurse Tunicate_Salp tunicate_salp tunicate_salp_chains tunicate_partial Siphonophore Calycophoran_Siphonophore siphonophore_calycophoran_abylidae Calycophoran_Siphonophore_Rocketship siphonophore_calycophoran_rocketship_adult siphonophore_calycophoran_rocketship_young Calycophoran_Siphonophore_Sphaeronectes siphonophore_calycophoran_sphaeronectes siphonophore_calycophoran_sphaeronectes_young siphonophore_calycophoran_sphaeronectes_stem Siphonophore_Physonect siphonophore_physonect siphonophore_physonect_young siphonophore_other_parts siphonophore_partial ephyra Hydromedusae Hydromedusae_Narcomedusae hydromedusae_narcomedusae hydromedusae_narco_dark Hydromedusae_Solmaris hydromedusae_solmaris hydromedusae_narco_young hydromedusae_solmundella hydromedusae_aglaura hydromedusae_liriope Hydromedusae_Haliscera hydromedusae_haliscera hydromedusae_haliscera_small_sideview Other_Hydromedusae Hydromedusae_Type_D_Bell_And_Tentacles hydromedusae_bell_and_tentacles hydromedusae_typeD_bell_and_tentacles hydromedusae_typeD Hydromedusae_Shape_A_Sideview hydromedusae_shapeA hydromedusae_shapeA_sideview_small hydromedusae_sideview_big hydromedusae_typeE hydromedusae_shapeB hydromedusae_typeF hydromedusae_h15 hydromedusae_other hydromedusae_partial_dark Ctenophore ctenophore_cestid ctenophore_cydippid_tentacles ctenophore_cydippid_no_tentacles ctenophore_lobate chordate_type1 Fish fish_larvae_leptocephali fish_larvae_myctophids fish_larvae_very_thin_body fish_larvae_thin_body fish_larvae_medium_body fish_larvae_deep_body Crustacean crustacean_other Copepod Cyclopoid_Copepod Cyclopoid_Copepod_Oithona copepod_cyclopoid_oithona copepod_cyclopoid_oithona_eggs copepod_cyclopoid_copilia Copepod_Calnoid copepod_calanoid copepod_calanoid_small_longantennae copepod_calanoid_frillyAntennae copepod_calanoid_flatheads copepod_calanoid_eggs copepod_calanoid_octomoms Copepod_Calanoid_Large copepod_calanoid_large copepod_calanoid_large_side_antennatucked copepod_calanoid_eucalanus copepod_other stomatopod amphipods Shrimp-like shrimp-like_other Euphauslid euphausiids euphausiids_young Decapod decapods shrimp_zoea shrimp_caridean shrimp_sergestidae Chaetognath chaetognath_sagitta chaetognath_non_sagitta chaetognath_other polychaete Gastropod heteropod Pteropod pteropod_butterfly pteropod_triangle pteropod_theco_dev_seq Other_Invert_Larvae trochophore_larvae Echinoderm Echinoderm_Larva_Seastar echinoderm_larva_seastar_bipinnaria echinoderm_larva_seastar_brachiolaria echinoderm_larva_pluteus_early echinoderm_larva_pluteus_urchin echinoderm_larva_pluteus_typeC echinoderm_larva_pluteus_brittlestar echinopluteus echinoderm_seacucumber_auricularia_larva tornaria_acorn_worm_larvae invertebrate_larvae_other_A invertebrate_larvae_other_B Detritus fecal_pellet detritus_blob detritus_filamentous detritus_other Unknown unknown_blobs_and_smudges unknown_sticks unknown_unclassified Artifact artifacts artifacts_edge",6,silver,1,Sun Jan 25 2015 21:52:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12330,/competitions/datasciencebowl,None
/triskelion,Beat the benchmark with an online perceptron,"Hi Kagglers, Taking inspiration from tinrtgu's benchmark scripts, Vowpal Wabbit, the 'shallow' learning benchmark script and the perceptron I wrote a pure Python benchmark that is able to get 0.952 AUC in about 2 minutes (use PyPy). Script attached and post with more information on [Link]:http://mlwave.com/online-learning-perceptron/. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63165/1921/perceptron.py",11,bronze,4,Mon Jan 26 2015 02:33:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12331,/competitions/word2vec-nlp-tutorial,38th
/udibr1,off topic - beutiful plankton pics,http://sploid.gizmodo.com/these-nearly-invisible-sea-creatures-fill-the-oceans-wi-1681397100,7,silver,2,Mon Jan 26 2015 03:30:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12332,/competitions/datasciencebowl,11th
/avneeshyadav,Can anyone suggest how to do feature extraction in R language?,There are a lot of discussions regarding python but no forum gives a clear understanding on how to use R. It will be of great help if you kindly suggest what packages to use and how to do feature engineering for this problem. Thanks in advance.,0,None,3,Mon Jan 26 2015 11:51:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12334,/competitions/sentiment-analysis-on-movie-reviews,355th
/kent7235376,Handling multiple values in CSV,"Hello everyone, As you know in each row of the datasets some values can be multiple. Two reasons: measures at different times, and from different sources (radars). At first, I thought I would reshape the dataset to have one row per time and radar to get a proper CSV (with single values either categorical or numerical, i.e. not a string). But the dataset is enormous so by multiplying the number of rows I have: - A dataset too big to be processed by my humble computer ; - Maybe not enough measures: as I have to limit the total number of rows, and as one measure will take something like 20 rows, my training dataset will have 20 times fewer measures (a lot of redundancy). On the other hand, that did not prevent the sample solution code given to work well, but the sigmoid function is handmade, and I would like to use libraries such as scikit-learn or equivalent. So, should we do our own decision function processing the string values? Or use a dataset with a lot of redundancy to be processed by a common existing algorithm (say, random forest)?",1,bronze,4,Mon Jan 26 2015 12:19:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12335,/competitions/how-much-did-it-rain,None
/blackfist,"Really low accuracy using R, caret, and nnet","I have gone through the data using KNN and came out with an accuracy of around 96%. I decided to try experimenting with neural networks because I saw in one of the threads someone said that those are typically better for handwriting analysis. However, my resulting code is only about 36% accurate. I was wondering if someone could identify what I might be doing wrong. library(""caret"")library(randomForest) library(""doMC"") # I want to leave some cores for other things.doMC::registerDoMC(cores=detectCores() -3 ) inputData <- read.csv(""train.csv"")testData <- read.csv(""test.csv"") # Cleaning and tweakinginputData$label <- as.factor(inputData$label) # Partition the training datarandomSelect <- createDataPartition(inputData$label, p=0.7, list=F)modelTrain <- inputData[randomSelect, ]modelTest <- inputData[-randomSelect, ] # Consider removing columns with near zero variancenzv <- nearZeroVar(modelTrain)modelTrain <- modelTrain[,-nzv] if(!file.exists(""nnModel.Rda"")) { nnStart <- Sys.time() nnModel <- train(label ~ ., data=modelTrain, method=""nnet"") nnEnd <- Sys.time() save(nnModel, file=""nnModel.Rda"")} nnPredictions <- predict(nnModel, modelTest) confusionMatrix(modelTest$label, nnPredictions)$overall Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull AccuracyPValue McnemarPValue 0.3655129 0.2913060 0.3570951 0.3739928 0.4526040 1.0000000 NaN",0,None,2,Mon Jan 26 2015 17:30:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12336,/competitions/digit-recognizer,None
/blackfist,Starting up a team,I'd like to start up a team to work on this and some of the other competitions on Kaggle. Ideally the team will be: Novices or lower intermediate working primarily in R 4 or 5 people total I've set up a team in Slack (which is awesome if you've never used it) to collaborate and I imagine that we'll share code with each other using github. So if you're looking to get on a team hit me up and we can start learning from each other.,1,bronze,9,Mon Jan 26 2015 18:33:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12337,/competitions/digit-recognizer,None
/davenovelli,Out of order TimeToEnd - Multiple Hydrometers?,"I'm working through an initial analysis of the data set and the format of this data is a new challenge for me. I've noticed that some of the records include out of order, and overlapping TimeToEnd values. For example, record ID 5 has 3 TimeToEnd values at 55, 3 at 52, 3 at 41, etc. Also, the values are not sorted at all. I'm assuming this is due to multiple hydrometers that are covering the same area. Then, looking at the DistanceToRadar there are seveal distinct distance values always grouped together, and the corresponding TimeToEnd are always descending within a DistanceToRadar value. Is it safe to infer from this that each Distance to Radar value and corresponding block of descending TimeToEnd values is a distinct radar? Or, do hydrometers move? I realize that it's possible that two hydrometers are equidistant to the gauge and the last measurement of the first hydrometer occurs before the first measurement of the second hydrometer - but this seems to be an unlikely enough scenario that it could be ignored.",1,bronze,6,Mon Jan 26 2015 23:48:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12339,/competitions/how-much-did-it-rain,None
/trentb,CV scores,"For those of you that have performed leave-one-subject-out cross-validation (CV) over all 16 training subjects, if you are willing to provide your mean and/or population AUC score, I am sure it would be greatly appreciated. My mean and population AUC scores are 0.741557 and 0.741981 respectively, but I have not yet made a submission, so take these with a grain of salt.",0,None,1,Tue Jan 27 2015 04:14:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12341,/competitions/inria-bci-challenge,25th
/boaz12,Anyone solves a problem that could not convert string to float error?,"I tried to run python sample code, but it can't run. In line 67 >> rr1 = np.array(row[rr1_ind].split(' '), dtype='float') ValueError: could not convert string to float: How can solve this problem?",1,None,2,Tue Jan 27 2015 15:20:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12342,/competitions/how-much-did-it-rain,81st
/alexmulo,Data augmentation in Python,"Hallo Guys, I am looking for some tutorial for data augmentation in Python. Do you have any interesting links? Thanks a lot!!!",0,None,5,Tue Jan 27 2015 21:50:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12344,/competitions/datasciencebowl,None
/hyposulphite,vowpal wabbit fail,"I'm trying to spend the last couple of days playing with vowpal wabbit, but found I could not get it work properly on my window cygwin. -- If I build from source, it pops up with some error like: comp_io.h:28:34: error: ‘fileno’ was not declared in this scope -- If I use the executable version, there is a very quick error: /usr/bin/vw: line 5: syntax error near unexpected token `newline'/usr/bin/vw: line 5: `<!DOCTYPE html>' Anyone has the same problem? Thanks in advance if you can solve the problem:)",0,None,1,Wed Jan 28 2015 03:11:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12347,/competitions/avazu-ctr-prediction,470th
/mpionnier,Track matching vs telematic fingerprint,"Hi, I am afraid that reversing anonymization process by track matching might cause that the winning models will be not the best ones - from organizer perspective. It may happen that solution with optimal streets map reconstruction algorithm (which is useless for the organizer as they know the exact GPS coordinates) might won or it might be very important part of the winning model. The situation when ""other"" driver is moving on the same path but with different behaviour is very rare or not exists at all - because just matching the paths (as other users noticed) is enough to obtain good results. This is my observation at this moment - but I am still digging into the data so maybe I missed something.",1,None,9,Wed Jan 28 2015 12:34:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12352,/competitions/axa-driver-telematics-analysis,280th
/lisasolomon,Webinar: 3 Ways to Improve your Regression,"[Link]:http://hubs.ly/y0tvJM0 Date: February 10, 2015 from 10am-11am PDT If the time is inconvenient, please register and we will send you a recording. Abstract: Linear regression plays a big part in the everyday life of a data analyst, but the results are not always satisfactory. What if you could drastically improve prediction accuracy in your regression with a new model that handles missing values, interactions, AND nonlinearities in your data? Instead of proceeding with a mediocre analysis, join us for this presentation, which will show you how MARS regression, TreeNet gradient boosting, and Random Forests can take your regression model to the next level with modern algorithms designed to expertly handle your modeling woes. With these state-of-the-art techniques, you’ll boost model performance without stumbling over confusing coefficients or problematic p-values! [Link]:http://hubs.ly/y0tvJM0",0,None,2,Wed Jan 28 2015 20:50:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12354,None,None
/irjerad,Getting Started in San Diego,"TL;DR: in SD looking for others to collaborate, learn and have fun with. Any experience ok, just looking for engagement on an inter-developmental level. I am a San Diego Native looking to get involved in some kaggle competitions on a group / team level. I am aware that the best and most work of this sort [prediction, data science, competitive intelligence, etc] is done in and with a team. While I am not opposed to working across geographic barriers - this is one of the many wonders of technology after all - but I would really enjoy working in a team environment and perhaps being able to socialize over projects as well as learn and share experience and knowledge in a group environment. About me: I studied Cognitive Science (Machine Learning / Natural Computation) for a BS at UCSD as well as applied mathematics. I also recently completed the Johns Hopkins Data Science program via Coursera. So I have a good amount of the theoretical knowledge as well as a great deal of appreciation for how data is collected and the interpretation and significance of preprocessing - I have some hands on experience conducting ethnographic and implementing the findings. I have a little business experience involving two startups - a non-profit technology based education and resources organization as well as content creation and creative management. I feel my biggest weaknesses would be in lack of experience in the process. So anyone having gone through all the steps, alone or with a team, once or more, and would like the insight of a fresh mind as well as some tools learned from my education on theory or experience in acquisition and interpretation of data as well as the business perspectives of value and implementation. Look forward to any conversations, future teams or partnerships, and friendships that may come from a collaboration of ideas and work. Oh, and my language of choice is usually R.However, I have multiple context specific experiences in Matlab, Python, Obj-C / Xcode for iOS and OS X, Java, C as well as CLI environments and scripting such as Bash and Metasploit, and embedded architectures like Arduino, AVR and Raspberry Pi, so I like to think I have a broad perspective on how iterations can be generated or employed in the most agile or rapid ways along with the corresponding pros and cons of development.",0,None,1,Thu Jan 29 2015 03:19:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12355,None,None
/dduddu,Can I publish in paper?,Can I publish a paper after I use this dataset and submit a result?,8,silver,1,Thu Jan 29 2015 08:00:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12356,/competitions/datasciencebowl,None
/julesvanligtenberg,Rescaling and replacing probabilities: which first?,"In the evaluation page it says: ""submitted probabilities for a given image ... are rescaled prior to being scored"" and ""predicted probabilities are replaced with max(min(p,1−10−15),10−15)"" My question: Which one is done first? Thanks",0,None,5,Thu Jan 29 2015 10:30:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12358,/competitions/datasciencebowl,23rd
/falcon777,Submission problems (ERRORS),"I get this message when I try to submit my file: ERROR: Unable to find 4563187 required key values in the 'id' column ERROR: Unable to find the required key value '10000174058809263569' in the 'id' column ERROR: Unable to find the required key value '10000182526920855428' in the 'id' column ERROR: Unable to find the required key value '10000554139829213984' in the 'id' column ERROR: Unable to find the required key value '10001094637809798845' in the 'id' column ERROR: Unable to find the required key value '10001377041558670745' in the 'id' column ERROR: Unable to............ My submission data frame has 4577464 obs. of 2 variables, and the 'id' column=test$id. I don't know why missing variables in this column. Thank you very much for your attention.",2,bronze,3,Thu Jan 29 2015 19:13:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12359,/competitions/avazu-ctr-prediction,1361st
/ashhafez,Interesting Read : No more pesky learning rates,[Link]:http://arxiv.org/pdf/1206.1106.pdf,1,bronze,2,Thu Jan 29 2015 22:22:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12360,/competitions/datasciencebowl,83rd
/bamine,Did anyone try Dynamic Time Warping ?,"Hi everyone, Did anyone try using dynamic time warping for trip matching ? If not, how do you handle the facet that trips were trimmed in different ways, so they are not aligned anymore ?",0,None,1,Thu Jan 29 2015 23:46:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12361,/competitions/axa-driver-telematics-analysis,104th
/coltsfan,Tutorial: training.zip error,"I received the following error when trying to run the code for the tutorial. Archive: training.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk(s) of this archive.unzip: cannot find zipfile directory in one of training.zip or training.zip.zip, and cannot find training.zip.ZIP, period.Archive: test.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk(s) of this archive.unzip: cannot find zipfile directory in one of test.zip or test.zip.zip, and cannot find test.zip.ZIP, period. Did anyone else have similar issues? Any insights would be appreciated.",0,None,1,Fri Jan 30 2015 01:02:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12362,/competitions/facial-keypoints-detection,None
/scottdh,Looking to Partner,"I am looking for a partner / team to form. I have focused so far on trip matching, currently scoring ~ .83x and would like to partner with some one who has made progress on the telematics part of the problem I am working the problem in Python 2.7. Cheers! Scott",0,None,13,Fri Jan 30 2015 06:29:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12363,/competitions/axa-driver-telematics-analysis,2nd
/mniininen,Difficulties getting started? ,All Only one person has submitted a solution file so far. I am wondering if the instructions or data description has some issues?,0,None,7,Fri Jan 30 2015 07:03:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12364,/competitions/morse-learning-machine-challenge-v2,None
/hmboxwala,Starter code in R,"Hi All, I have just started taking machine learning classes and have learned simple linear regression. Could some one help me with a starter code in R or Matlab so I can apply what I have learned. I have not tried anything on a real data set so any help is appreciated. Also would simple linear regression be the right algo to apply here? Sorry if these questions sound too dumb.",0,None,1,Fri Jan 30 2015 08:40:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12365,/competitions/how-much-did-it-rain,None
/speedoheck,is there any system known as meta-machine learning,"Is there any system which is called meta-machine learning which tries to learn from multiple machine-learning processes? Using this, is it possible to predict which kaggle competitor is likely to win?",0,None,1,Sun Feb 01 2015 19:47:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12376,None,None
/bramcohen,Challenges with analyzing the data,"There are a number of interesting challenges with the data in this competition. I've only spent a day on it, and I'm new to data analysis, but geeze there are a lot of issues. But maybe these sorts of problems the whole point. A fair number of games are essentially over after the opening, with one side falling for a known opening trap and there being no interesting play afterwards. Even worse, some games are forfeits, providing literally no data. Once one side has a substantial advantage, the quality of their play after that doesn't seem to be indicative of how strong they are. Once the game has reached +200 or so, it rarely turns around, and seemingly weak play might be because the player is going with the first move they see which wins and not bothering to think through whether there's anything better. Sometimes players play horribly towards the end of the game because they got into time trouble. But it's impossible to tell if a player was in time trouble, because the data doesn't include that information. Related to that, players seem to play with a lot of contempt. They'd never let themselves get into that kind of time trouble against an opponent they knew to be much weaker, and against weaker opponents they play clearly inferior but more complex moves in the interests of making things difficult for the opponent and avoiding opening books. They also do that to avoid boring draws, which happen a lot between players of all rating levels and even weak players can appear to have played very well when playing such a boring draw. Of course a stronger opponent would take pains to not let them do that, but we're trying to guess the players strength based on their play, not the other way around. Game outcomes seem to be almost entirely due to one or two bad blunders per game. If a player was playing in conjunction with a much higher rated player who got to change their move two or three times per game but otherwise couldn't communicate, the quality of play would be vastly higher than the weaker player. This creates a problem with the amount of data, where the statistical significance of any one game, being mostly reliant on only one or two data points, is almost nonexistant. Related to that, there's the problem that humans really, really suck at chess. There are lots of positions with blunder/counter-blunder pairs caused by both players not seeing the same variation, or tactical positions which the humans are completely lost in. Endgames are also extremely hard to evaluate, which long stretches of irrelevant play, or where there are many possible approaches but what matters is having the correct overall plan, unlike in the middle game where the quality of each move can be evaluated individually and the results added up. These last two issues are at least intrinsic to the challenge as presented. The others are just awful. What you really want is to test a player when they don't know the strength of the opponent they're facing, using an incrementing clock which never lets them get into horrible time trouble, and where forfeits are thrown out of the data set, but the data at hand doesn't even vaguely resemble that.",2,None,3,Sun Feb 01 2015 21:30:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12377,/competitions/finding-elo,None
/scsmith2,Good next step for manual feature extraction with random forest model,"I've been bitten by the bug after signing up for a coursera class in January. Context is that I'm new to Python and R with a ME background, learning by doing in this competition. I'm using Python (started with the tutorial) to extract image features, so far have come up with 18 features. I output the feature set to a csv and then import and fit a random forest model in R. Right now I've submitted with a score of ~2.0. Any recommendations short of build a CNN where I should focus? Would be happy to post code. Just learning, seems a CNN may prevail, but I'm not there yet. Thanks,Scott",1,bronze,1,Mon Feb 02 2015 00:09:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12378,/competitions/datasciencebowl,502nd
/daiyoko,How to verify result locally??,"Hi, i'm new to kaggle. For this competition, if i generate my output e.g. sampleSubmission.csv, how can i verify the result locally?? It seems on leaderboard, there is a single ""0.3818529"" score shown?? Do i need to submit first so to check the score?? Thanks.",0,None,1,Mon Feb 02 2015 14:38:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12380,/competitions/avazu-ctr-prediction,None
/wcukierski,Welcome!,"It's back! Kaggle and HP are proud to announce the 2nd annual March Machine Learning Mania competition. Whether you plan to dust off your model from last year or start fresh, we've given you more data, better data, and the excuse you've always wanted to show your office pool just how Bayesian you can be. Please pay careful attention to the rules before you jump in. There are a couple new rules this year, meant to increase fairness, decrease ambiguity, and add to the mania.",5,silver,7,Mon Feb 02 2015 18:19:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12382,/competitions/march-machine-learning-mania-2015,None
/magellanea,Difference between regular season and tourney,"I apologize if my question seems trivial, I'm not familiar with the NCAA (even after I read the wikipedia article!) What's the difference between the regular results and tourney results? I supposed that the regular are outside the NCAA tournaments and it's rules doesn't apply to it, Am I correct?",1,None,16,Tue Feb 03 2015 00:51:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12383,/competitions/march-machine-learning-mania-2015,None
/superfan123,team mates wanted,I'd like to team with somebody who have a 2 cpu workstation to do some heavy lifting stuff. My computer is not good for this game. I also want to team with somebody who is an Java expert. Let me know if you are interested.,0,None,1,Tue Feb 03 2015 05:04:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12386,/competitions/axa-driver-telematics-analysis,333rd
/queise,Advice for selecting submissions,"Before the end of the competition we can select up to 2 submissions that will be used to calculate our final leaderboard score. Otherwise, the submissions with best score in the public leaderboard are used by default. I wonder if I should use the submissions with best public score: CV score ~ 0.393 -> LB score ~0.395 or those with best CV score: CV score ~ 0.38 -> LB score ~0.41 I calculated the CV score testing in 1 of every 10 rows which had been previously removed from the training. Any advice will be much appreciated. Thanks!",0,None,2,Tue Feb 03 2015 15:14:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12387,/competitions/avazu-ctr-prediction,457th
/glicko,JQAS papers based on last year's contest,"Hi, Some of you who participated in last year's contest may remember that the [Link]:http://www.degruyter.com/view/j/jqas (JQAS) solicited papers on the methods contestants used to predict basketball game outcomes in the NCAA tournament as part of the Kaggle contest. I'm pleased to report that the next issue of JQAS will contain five papers that resulted from this solicitation. The publisher, [Link]:http://www.degruyter.com/, has agreed to make the papers freely downloadable for a month after the issue is published as well as while they are posted in the "" [Link]:http://www.degruyter.com/printahead/j/jqas"" section on the JQAS site. Right now, only one paper has gone through production and appears in the Ahead of Print section, but over the next couple weeks I expect the remaining four to be posted. - Mark (JQAS Editor in Chief)",10,silver,7,Tue Feb 03 2015 20:07:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12388,/competitions/march-machine-learning-mania-2015,31st
/wcukierski,Welcome!,"If you're the type to read user terms, you'll notice that ours say: KAGGLE DOES NOT WARRANT THAT THE WEBSITE AND RELATED SERVICES AND THE DATA PROVIDED THROUGH IT, INCLUDING THE ENTRIES AND MODELS, TO BE AVAILABLE, ACCURATE, USEFUL, OR FREE OF ERRORS, VIRUSES, OR OTHER HARMFUL COMPONENTS. We can finally make good on this promise and guarantee your fair share--dare we say, a lifetime's worth--of viruses from Kaggle. You may even need a new hard drive to store them all! All jokes aside, this competition presents a very large and interesting feature extraction step standing between you and a potentially difficult multi-class classification problem. Good luck and enjoy!",13,silver,43,Tue Feb 03 2015 20:11:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12389,/competitions/malware-classification,None
/johnathonshell,Is wto and lto supposed to be turn over?,Time outs just seems an odd thing to keep track of.,1,bronze,2,Tue Feb 03 2015 21:45:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12391,/competitions/march-machine-learning-mania-2015,None
/taffeylewis,Conference affiliations,"To Jeff S et. al. -- Not knowing how your data-aggregation tools are set up, would it be possible (and easy, convenient, etc) to supplement the teams.csv file with conference affiliations for the teams? Would be appreciated if this could be done. I can do it locally of course (and I did it last year), but it's surprising that this bit of data is being left out. I'm sure others would be grateful for such a gift as well. If not, I can perhaps post something once I've scraped it together, but will be a while. On a related topic, the inclusion of the game-level data this year is awesome! That took me ages to put together last year, so it's a kingly (and massively time-saving) gift!",1,bronze,25,Tue Feb 03 2015 22:47:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12392,/competitions/march-machine-learning-mania-2015,128th
/thejohnnyutahs,clarification of historical model evaluation,"only historical tourney results (i.e. those included in the tourney results sets) count towards evaluation of our historical models, correct? just wanted to clear this up, thanks.",0,None,6,Tue Feb 03 2015 23:25:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12393,/competitions/march-machine-learning-mania-2015,None
/jeffsonas,Mapping File to external team names,"For anyone who is interested in going beyond the scope of the contest datasets, and incorporating external data into your model, you will inevitably run into the issue of how to map between team identifiers from your external data, and the team identifiers in our contest data. To assist you in this painful process, I suggest that as a group we maintain a cumulative list of all known spellings of team names and how they map to our team id numbers (the four digit numbers ranging from 1101 to 1464 as in the teams.csv file). I am attaching an initial try at this. Trust me, it is in your interest to have a good one of these! It is from a number of different sources that I have used during the data collection process. I suggest that if anyone requires mapping from additional team spellings, you add to this file and repost it. I decided to keep it as an all-lowercase-spelling file for team names. It seemed like a good idea at the time, but I don't remember exactly why I did this! Anyway, community, here it is, do what you will with it! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63523/1930/team_spellings.csv",4,bronze,3,Wed Feb 04 2015 00:04:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12394,/competitions/march-machine-learning-mania-2015,142nd
/jeffsonas,EXTRA DATA - Historical Pointspreads,"Note - I have taken my posting from last year's contest forum, and posted it here (with a few minor tweaks) so that the forum participation can occur on the current contest's forum rather than last year's. The attached csv file was updated (by me) at the end of last year to include last year's games. Note - this information is provided as a ""nice-to-have"" to help you during Stage 1 in your exploratory data analysis, and it will not be updated/maintained to reflect the current season's information. So if you want to use pointspread predictions in your prediction model, feel free! But you will need to get the data yourself from external sources. ***** Although this contest is not really concerned with predicting pointspreads, I thought it might nevertheless help our exploratory data analysis to include a historical listing of predicted pointspreads. I found several years' worth of data available last year in the archival section of the ""thepredictiontracker"" website, and transformed the data into the standard season, team, and date formats used for other contest data files. In many cases, there was a difference of opinion about the identity of the teams, or the location, or the final score, and I simply omitted those games from the ""pointspreads"" data where there was a difference of opinion of more than one point about the final score. So in the attached file, all of the game details match (almost) exactly with the games from the current contest data, and I have also added columns of predicted pointspreads from several sources. You will have to go the website to learn more details about each prediction source, but please do know that I tranformed the pointspreads so that they are always expressed from the winning team's perspective. As I said above, this isn't really that useful directly for the contest, especially since you will eventually need to make predictions about every possible game in the tournament, prior to the start of the tournament, so you won't have the benefit of pointspreads to help all those predictions. But I did make use of this data to derive a simple relationship between predicted pointspread and likelihood of winning. In the chess world, which is where much of my practical experience with rating systems occurred, there is an exponential relationship between rating difference and winning percentage, expressed simply as: WinPct(RatingDiff) = 1/(1+POWER(10,-RatingDiff/C)) A value of 400 is traditionally used in chess for C, which means that if you have a rating advantage of 400 points, you can expect to score about 10/11 (91%). Thus the marginal value of one additional rating point is most useful when the two players' strengths are equal, and each additional rating point advantage is less and less useful as you have a larger advantage. So the winning percentage difference between being a 3-point favorite and a 4-point-favorite, is much larger than the difference between being a 23-point favorite and a 24-point favorite, as it should be. This exponential relationship is at the heart of many implementations of the Elo system. It therefore seems natural to look for such a relationship in the basketball data. I took this pointspread data and plotted the pointspread of the favored team on the horizontal axis, and the observed winning percentage on the vertical axis, and this is illustrated in the attached image ""PointspreadExponential.png"". So when the pointspread (rounded to the nearest 0.5) was +4, the favored team scored 65%, and when the pointspread was +5, the favored team scored 66%, and so each of these is represented by a white circle in the graph. I also plotted the above WinPct function for a few values of C (10, 12, 15, and 18) and hopefully you will agree that this relationship with C=15 is a reasonable one. I also made sure that C=15 was a reasonable value, by seeing which value of C would minimize the overall binomial deviance (the scoring function used in our contest) if we used the above function to predict the outcome of regular season games. I didn't do this for all regular season games, just the ones that were most similar to tournament games with regard to team strengths and how late in the season the game was played. As illustrated in the attached file ""OptimizingC.png"", I found that a value of 14 or 15 for C performed best. Therefore, as a first approximation, I have used the following function to accept a ""power rating"" difference and yield an expected winning percentage: WinPct(RatingDiff) = 1/(1+POWER(10,-RatingDiff/15)) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63525/1931/pointspreads.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63525/1932/PointspreadExponential.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63525/1933/OptimizingC.png",0,None,14,Wed Feb 04 2015 00:21:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12395,/competitions/march-machine-learning-mania-2015,142nd
/jeffsonas,EXTRA DATA - Game Flow Details,"Obviously it would be great if we had an incredibly rich dataset of college basketball game information. One reason I decided to include team-total game statistics in the contest this year was to assist analysis that was more basketball-aimed rather than just something more general that is good at taking sports scores and making predictions. This year we took a big step forward by including team total statistics from each game, but of course much is still missing. We don't have information about stats of individual players, and we don't have play-by-play details either. I decided not to try to include complete historical stats for individual players, or play-by-play details, but I do recognize that one potential analytical approach is to try and ""simulate"" the outcome of a game parametrically through simulation of play-by-play game flow. For instance, if we have team A that shoots mostly two-pointers, and team B that shoots mostly three-pointers, we ought to see a greater variance in the total game scores for team B than for team A, and I think this would come out of a simulation of games for those two teams. This could easily inform your predictions - and I know there were multiple people last year who did this very thing for teams that shoot a lot of threes. Of course, a simulation model of game-by-game play flow would be most effective if it simulated game events that actually happen. For instance, there is no chance of a foul followed immediately by six free throw attempts by the fouled team, but there are lots of situations that can lead to a foul followed immediately by zero or one or two or three free throw attempts, and the relative frequency of such events is affected by things like how often teams attempt/make certain types of shots, how often teams commit fouls or are fouled, etc. So if you are going to build a simulation model, you probably would like to know what the typical flow of events looks like in an actual basketball game. I was envisioning something like this: your model simulates a series of events/possessions that comprise an entire game. These might be compound possessions, i.e. all likely combinations of events that occur during a single possession, or they might be isolated events within a single possession - I'm not sure what would work best. So if you had a simulation model that could simulate an average game, then you could tweak the relative frequencies of particular events/possessions based on the stats of the teams in the game, and perhaps simulate a particular game between those two teams more accurately. You could optimize your model by seeing how well such simulations matched the actual stats of the game, or of the overall team totals for the year. So maybe the relative frequency of ""made three-pointer followed by a foul followed by a made free throw"" gets affected by the offensive team's skill at attempting/making three-pointers, drawing fouls, attempting/making free throws, as well as by the defensive team's skill at allowing three-point attempts/baskets, committing fouls, etc. And maybe those skills interact in interesting ways that help us learn about basketball. For instance, maybe if you're a good offensive rebounding team then you will continue to be so even against a good defensive rebounding team. Or something interesting about turnovers, or how three point shooting translates against strong opponents. Could be very useful in trying to identify Cinderella teams each year - who knows? So this is what I decided to do. I obtained play-by-play details (still at the team level, not the individual player level) for 1,000 actual games across the past five years, with 200 games each year. The dataset for each year includes all of the NCAA tournament games from that year, plus a randomly selected sample of ~132 games played during the final 30 days of each year's regular season (i.e. daynum ranging from 103 to 132). For each of the 1,000 games, I include a flow of team-level events: assist - The team has an assistblock - The team blocks a shot by the other teamcfoul - The team commits a fouldbreb - The team has a dead-ball-rebound - I think this happens when a missed shot goes out of bounds, the first of two free throws is missed, a last-second-shot misses, etc. But I am not entirely sure of the specifics.defreb - The team has a defensive rebound (i.e. from the other team's missed shot)make1 - The team makes a free throwmake2 - The team makes a two-point field goalmake3 - The team makes a three-point field goalmiss1 - The team misses a free throwmiss2 - The team misses a two-point field goalmiss3 - The team misses a three-point field goaloffreb - The team has an offensive rebound (i.e. from their own team's missed shot)steal - The team has a stealtover - The team commits a turnover I also track a field called ""game_seconds_elapsed"". This tells you how much time in the game has elapsed by the point the event happens. So if there is a ""make2"" event with game_seconds_elapsed = 133, it means someone made a two-point-shot with 17:47 left in the first half. If an event had game_seconds_elapsed = 2405, it means it happened after two full halves of 20 minutes (1200 seconds) each, and thus it is five seconds into the first overtime (i.e. 4:55 remaining in the first overtime). So the column ""team"" tells you the team that the event was recorded for, and the column ""game_seconds_elapsed"" tells you when the event happened. The first few columns tell you which game it was (matching the season, daynum, wteam, lteam from other data files) and also provide a flow_id column that uniquely identifies each row. Finally, the last two columns tell you the score of the (eventual) winning team, and the score of (eventual) losing team, after the event occurred. Note again that I do not intend to provide additional historical game-flow data like this from past seasons, nor do I intend to provide updated files from the current season like this. I am providing this just to give a good example of the typical flow of a college basketball game, and in hopes that people can make good use of this information to help jumpstart their simulation models. I don't make any claims about the accuracy of this information. I did spend a while last year (after the season) working on cleaning up the data a little, but I am sure there will be irregularities in the data. Certainly a big part of the challenge is defining what an ""event"" is - if a team makes a two-point shot and gets fouled and gets an assist and then misses a free throw which gets rebounded by the other team, you might view that as anywhere between one event and five events, and hopefully they all show up in this data as happening at the same time on the clock. Sometimes they might be off by a bit. But I decided it was too much ""beyond the call"" to try and figure that out for you! So I am not sure if this will be useful - but I hope it will! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63526/1934/game_flow_details.zip",1,bronze,11,Wed Feb 04 2015 01:13:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12396,/competitions/march-machine-learning-mania-2015,142nd
/domcastro,is wloc always N?,"I've had a quick look at the tourney results file and the wloc (winning team location, either H,A or N) is always N. Is this correct?",0,None,1,Wed Feb 04 2015 01:30:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12398,/competitions/march-machine-learning-mania-2015,8th
/magellanea,"""Submission has been administratively invalidated""",I found that my submission contained the following error/warning Submission has been administratively invalidated I'm not sure what does it mean?,0,None,19,Wed Feb 04 2015 01:43:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12399,/competitions/march-machine-learning-mania-2015,None
/jeffsonas,EXTRA DATA - Massey Ordinals,"Kenneth Massey's website provides an archive of historical rankings from a wide variety of sources. Note that these are ordinal ranks (#1, #2, ...) rather than specific ratings, but nevertheless you may find it useful to incorporate some of these rankings into your predictive model, especially if you are using an ensemble model. One downside of using ordinal ranks is that you don't get a sense for the gap in strength between two given ranks, but an upside of using ordinal ranks is that it is easy to compare/combine two different systems, since you don't need to worry about the magnitude of ratings. With Kenneth's help, I have extracted and transformed those ordinal ranks into a format usable in the contest. Each row provides an ordinal ranking for a single team on a single day, using a particular system, identified by a 2-3 character identifier. For instance, POM refers to Ken Pomeroy's rankings, RPI refers to an RPI-based ranking, and so on. The specifics can be found on Kenneth Massey's Composite Rankings page. Each row provides an ""orank"" for a particular team, which is a positive integer indicating their overall national rank using that system. Note that I also previously determined that a good rough way to convert from an ordinal rank to a power rating (i.e. one where the difference between two team's ratings is intended to predict a pointspread) is with the following formula: Rating = 100 - 4*LN(rank+1) - rank/22 Note that we did not want to make it an official part of the contest that these updated ordinals for the 2015 season would definitely be made available. This is because we wanted to keep the required data for the contest to a minimum, and if we did promise it, then we would be dependent on a single external source (which might not be available in such short turnaround time as we have between Selection Sunday and the submission deadline). So we are not officially promising to make them available, although people are welcome to look up data themselves from Kenneth Massey's website (or the actual source of the rankings, which you can get to from the column headers in the composite ranking page) at any point, and this information is publicly available on his ""College Basketball Ranking Composite"" webpage. With the big bonus that team name spellings already match! Having made that disclaimer, I can state that I am indeed planning to provide updated ordinals near/at the end of the season, on this thread in the forum. From my experience last year, I know that rankings from some of the sources simply do not come out in time to use right away for predictions on the night of Selection Sunday, so I caution people against relying too much on the availability of these rankings. There is also a further point to consider, which is that for each week, Kenneth Massey has a single ""composite rankings"" page, which potentially is combining prediction information from rankings produced on different days of the week. So if a big upset happened on Monday night, rankings produced on Monday morning might differ significantly from rankings produced on Tuesday morning. Nevertheless, this information is extremely useful, and I encourage everyone to look into it! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63531/1935/massey_ordinals.zip",5,bronze,17,Wed Feb 04 2015 01:49:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12400,/competitions/march-machine-learning-mania-2015,142nd
/herrahuu,Duplicate column values,"In the file regular_season_detailed_results.csv columns wto and lto are exactly the same (ie. for each row wto==lto). This is also true for the attributes stl, blk an pf as well. Tourney results seem to be fine though.",0,None,3,Wed Feb 04 2015 06:36:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12402,/competitions/march-machine-learning-mania-2015,None
/jeffsonas,Getting Started with the data - an RPI example,"I thought it might be helpful to provide an example of an RPI calculation (for Arizona St at the end of the 2014 regular season). Not necessarily to help you develop a predictive model - you will have to make your own assessment as to whether a RPI-style calculation is useful - but more just to make sure you understand how to interpret the contest data files. You can find descriptions of how to calculate RPI [Link]:http://en.wikipedia.org/wiki/Rating_Percentage_Index and [Link]:http://rpiratings.com/WhatisRPI.php. The RPI is a calculation that does not care how many points a team won/lost by in their games, only who won and who lost. This gives it less predictive value than it otherwise might have, but since the RPI is heavily used by the committee that selects the teams for the final NCAA tournament, such a constraint supposedly gives teams less incentive to ""run up the score"" during games against weaker opponents. Of course, in this contest we have no such constraints; you are welcome to use the game scores to inform your rating calculations and ultimately your predictions of game outcomes. But in the case of RPI, we only care who won/lost. The RPI formula is:RPI = (0.25)*(WP) + (0.50)*(OWP) + (0.25)*(OOWP) whereWP = Team Winning PercentageOWP = Opponents' Winning PercentageOOWP = Opponents' Opponents' Winning Percentage Starting nine years ago, the formula for WP was adjusted so that Away wins are more important than Home wins. Thus your overall number of ""effective"" wins is calculated as (1.4)*(Away wins) + (1.0)*(Neutral wins) + (0.6)*(Home wins), and your overall number of ""effective"" losses is calculated as (1.4)*(Home losses) + (1.0)*(Neutral losses) + (0.6)*(Away losses). Then the formula for WP is just (effective wins)/(effective wins + effective losses). The formula for OWP specifically excludes games against the team whose RPI is being calculated, although that team is not excluded during the OOWP calculation. And each opponent's winning percentage counts equally within the OWP and OOWP calculations, even if it is based on unusually many/few games. Finally, let's look at an extended example, with an RPI calculation at the end of the 2014 regular season for Arizona St (team_id 1113). In order to find Arizona St's games during the 2014 season, we must look for games where the season is 2014 and either the wteam or lteam (winning or losing team) is 1113. We can find Arizona St's first 2014 game in the regular_season_compact_results file, way down on line #129210, though it is only the fifth game listed during the 2014 season: regular_season_compact_results.csv:season,daynum,wteam,wscore,lteam,lscore,wloc,numot ...2013,132,1387,62,1433,56,N,02014,4,1102,79,1119,68,N,02014,4,1103,72,1157,63,H,02014,4,1107,74,1373,62,A,02014,4,1112,73,1142,62,H,02014,4,1113,96,1420,61,H,0 (this row)2014,4,1116,99,1188,65,H,0 ... It was played on daynum=4. By consulting the seasons file, we see that day zero for the 2014 season was 11/4/2013: season.csv:season,dayzero,regionW,regionX,regionY,regionZ ...2013,11/05/2012,East,South,Midwest,West2014,11/04/2013,East,South,Midwest,West (this row)2015,11/03/2014,East,South,Midwest,West And thus we know (if we really care) that since day zero is 11/04/2013, and the game is on daynum=4, the game was played exactly on 11/08/2013. But really all we probably care about is that it was daynum=4, which is 128 days before the magical daynum=132, the final day of the regular season (also known as ""Selection Sunday""). Looking further at this game, we see that the winning team was 1113 (that's Arizona St!) with a winning score of 96, and the losing team was 1420 with a losing score of 61. Looking up in the teams file, we see that team_id 1420 is UMBC: teams.csv:team_id,team_name ...1419,ULM1420,UMBC (this row)1421,UNC Asheville ... And finally, at the end of the row of compact results data (i.e. just the final scores) for this game, we see that wloc is H, meaning the game was won by the home team, and there were zero overtimes. We could look through the entire regular season, searching for games during the 2014 season where the winning or losing team is #1113 (Arizona St), and we would find that Arizona St played 32 games during the 2014 season:Home win (96-61) on day #4 (11/08/2013) against team #1420 (UMBC)Home win (90-54) on day #8 (11/12/2013) against team #1275 (Miami OH)Home win (88-60) on day #11 (11/15/2013) against team #1226 (Idaho St)Away win (86-80) on day #15 (11/19/2013) against team #1424 (UNLV)Home win (70-58) on day #18 (11/22/2013) against team #1133 (Bradley)Home win (79-77) on day #21 (11/25/2013) against team #1266 (Marquette)Neutral loss (60-88) on day #24 (11/28/2013) against team #1166 (Creighton)Neutral win (80-58) on day #25 (11/29/2013) against team #1158 (Col Charleston)Neutral loss (57-60) on day #27 (12/01/2013) against team #1274 (Miami FL)Away win (78-56) on day #32 (12/06/2013) against team #1177 (DePaul)Home win (97-55) on day #40 (12/14/2013) against team #1212 (Grambling)Home win (76-62) on day #47 (12/21/2013) against team #1403 (Texas Tech)Home win (74-61) on day #54 (12/28/2013) against team #1414 (UC Irvine)Home loss (65-76) on day #59 (01/02/2014) against team #1449 (Washington)Home win (66-47) on day #62 (01/05/2014) against team #1450 (Washington St)Away win (79-60) on day #66 (01/09/2014) against team #1425 (USC)Away loss (72-87) on day #69 (01/12/2014) against team #1417 (UCLA)Away loss (68-91) on day #73 (01/16/2014) against team #1112 (Arizona)Home win (79-75) on day #80 (01/23/2014) against team #1428 (Utah)Home win (72-51) on day #82 (01/25/2014) against team #1160 (Colorado)Away win (89-78) on day #86 (01/29/2014) against team #1143 (California)Away loss (70-76) on day #89 (02/01/2014) against team #1390 (Stanford)Home win (86-82) on day #94 (02/06/2014) against team #1333 (Oregon St)Home win (74-72) on day #96 (02/08/2014) against team #1332 (Oregon)Home win (69-66) on day #102 (02/14/2014) against team #1112 (Arizona)Away loss (52-61) on day #107 (02/19/2014) against team #1160 (Colorado)Away loss (63-86) on day #111 (02/23/2014) against team #1428 (Utah)Home win (76-64) on day #114 (02/26/2014) against team #1390 (Stanford)Home win (78-60) on day #117 (03/01/2014) against team #1143 (California)Away loss (78-85) on day #120 (03/04/2014) against team #1332 (Oregon)Away loss (76-78) on day #124 (03/08/2014) against team #1333 (Oregon St)Neutral loss (58-79) on day #129 (03/13/2014) against team #1390 (Stanford) That adds up to a total of 16 home wins, 1 neutral win, 4 road wins, a total of 21 wins. And 1 home loss, 3 neutral losses, and 7 road losses, a total of 11 losses. Although that is a raw record of 21-11, the RPI formula treats home results differently from road results, etc., and so that actually counts as (0.6*16 + 1.0*1 + 1.4*4) = 16.2 effective wins, and (1.4*1 + 1.0*3 + 0.6*7) = 8.6 effective losses. So instead of 21/32=0.656250, the actual WP winning percentage to use, for the first component of RPI, will be 16.2/24.8 = 0.653225806. Okay, that part was pretty easy. Now we move on to OWP. In this one, you are looking to take the average winning percentage of each of your opponents. However, you need to subtract out the effect of your own games against those teams. So for instance, their first game was a win against UMBC, who for the season was 8-21, a winning percentage of 8/29=0.275862. However, in assessing how good UMBC is, specifically during the calculation of Arizona St's OWP, we need to subtract out their loss to Arizona St itself. So we really will treat them as being 8-20 in the rest of their games, a winning percentage of 8/28=0.285714. So for purposes of Arizona St's OWP calculation, we count UMBC as having a winning percentage of 0.285714. We will do this for each of Arizona St's games, separately. However, it is important to note that if they play an opponent multiple times, those games count multiple times, and each time you have to completely subtract out all their games against you. So for instance, they faced Stanford three times (counting that last neutral loss in the Pac-12 tournament on day #129). Although Stanford had an overall record of 21-12, we subtract out their 2-1 record against Arizona St, leaving a record of 19-11, a winning percentage of 0.633333. So when calculating Arizona St's OWP, Stanford will be in there three times, each with a winning percentage of 0.633333. Here is the final list of these winning percentages for Arizona St's 32 opponents: UMBC: 0.2857142857Miami OH: 0.4482758620Idaho St: 0.3461538461UNLV: 0.6250000000Bradley: 0.3870967741Marquette: 0.5483870967Creighton: 0.7812500000Col Charleston: 0.4333333333Miami FL: 0.5000000000DePaul: 0.3750000000Grambling: 0.1538461538Texas Tech: 0.4516129032UC Irvine: 0.6774193548Washington: 0.5161290322Washington St: 0.3103448275USC: 0.3333333333UCLA: 0.7575757575Arizona: 0.9062500000Utah: 0.6428571428Colorado: 0.6875000000California: 0.6333333333Stanford: 0.6333333333Oregon St: 0.5172413793Oregon: 0.7333333333Arizona: 0.9062500000Colorado: 0.6875000000Utah: 0.6428571428Stanford: 0.6333333333California: 0.6333333333Oregon: 0.7333333333Oregon St: 0.5172413793Stanford: 0.6333333333 Taking the average of those, across the 32 games, we get OWP=0.564734467 for Arizona St. Finally, that leaves the calculation of OOWP. This one is actually really easy, because once we have calculated OWP for all the teams, then we can just take an average of the OWP's for all those teams that Arizona St faced. So because Arizona St had 32 games played, it will be an average of the 32 OWP's calculated for all those opponents. Again Stanford is in there three times: UMBC: 0.4235931057Miami OH: 0.5192606238Idaho St: 0.4553386481UNLV: 0.5301937786Bradley: 0.4831996684Marquette: 0.5644877885Creighton: 0.5891779405Col Charleston: 0.4795456559Miami FL: 0.5411055218DePaul: 0.5771626145Grambling: 0.3984869241Texas Tech: 0.5740701094UC Irvine: 0.4716607932Washington: 0.5607837662Washington St: 0.5538748300USC: 0.5683879726UCLA: 0.5936361489Arizona: 0.6183898453Utah: 0.5322614635Colorado: 0.5890757968California: 0.5752189497Stanford: 0.5885850816Oregon St: 0.5572614794Oregon: 0.5884993535Arizona: 0.6183898453Colorado: 0.5890757968Utah: 0.5322614635Stanford: 0.5885850816California: 0.5752189497Oregon: 0.5884993535Oregon St: 0.5572614794Stanford: 0.5885850816 Taking the average of those, across the 32 games, we get OOWP=0.549097966 for Arizona St. And then the final step is to calculate RPI as (0.25*WP) + (0.50*OWP) + (0.25*OOWP) = (0.25*0.653225806) + (0.50*0.564734467) + (0.25*0.549097966) = 0.582948177 This is also how Strength of Schedule (SOS) is calculated, as just the OWP and OOWP portion of this formula SOS = (2/3 * OWP) + (1/3 * OOWP) = (2/3 * 0.564734467) + (1/3 * 0.549097966) = 0.5595223 And generally for both RPI and SOS, they are publicly communicated as the ordinal rank among all teams. So if Arizona St had the 41st-highest RPI in the country, we would say their RPI rank was 41. Also note that the historical published numbers may be different from these, depending on the exact set of games used (our contest dataset only includes games where both teams were Division I, which can have larger-ranging impact on Arizona St's OWP and especially OOWP), and it's also possible that I messed up the RPI calculation!",6,silver,10,Wed Feb 04 2015 06:47:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12403,/competitions/march-machine-learning-mania-2015,142nd
/jeffsonas,"Welcome, and Supplemental Data","Hi everyone, welcome to the contest! This is my fourth time (co)running a Kaggle contest (I did two chess prediction contests previously, as well as the March Madness contest last year). As someone who has spent more time thinking about these technical issues than most of you (at least so far!) I would like to pass on some of what I have already figured out, including useful supplemental data. But on the other hand, we want you to do your own work, and it's not really fair if an ""expert"" comes along with ten days left and provides some extra insight/data that benefits the people who are still working on the problem, and doesn't help the people who already have finished their model development by that point. So the way we like to address this problem is to make all organizer-provided-resources available from the very start, and for the organizers not to provide any additional resources or useful insight during the contest itself. So that is why I am barraging you with additional resources right now at the start, within the first 48 hours of the contest, but please know that I'm not going to add much else after today. Although I will certainly answer questions as quickly and fully as possible, the helpful advice won't be there as much anymore! The data files that are available on the [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/data are historical files, covering up through the end of the 2013-2014 season. We aren't giving you any data from the current season (2014-2015) yet; that is for the second stage of the contest. As we get a lot closer to that stage, I will post some interim/example files for 2014-2015 so that you can make sure you are ready for the big scramble at the end, when we only have a few days between Selection Sunday (on March 15th) and the submission deadline for predictions of the 2015 tournament. But right now we really want you to be analyzing the historical data (there's a lot of it!!) and figuring out how best to predict the outcomes of tournament results using regular season data. So everything that you see on the [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/data will eventually be updated to include the information from the current season (2014-2015). However, there is substantial supplemental data as well, that is being made available only on the forums. This information will not necessarily be provided again at the end of the season; we are not making any promises. If you intend to make use of it in your predictions, you should probably figure out how to get such information for this season yourself. I will try to make the Massey Ordinals available, but even those are not necessarily going to be up-to-date by the night of Selection Sunday. Again, no promises! Nevertheless, this supplemental data ought to be quite useful as you work on improving your predictive models. I would suggest that you check out these forum postings, in roughly this order: (1) [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/forums/t/12403/getting-started-with-the-data-an-rpi-exampleIn this post, we walk through some basics about what is in the data files, and also go through an example of how to calculate RPI. If you like, you can try to calculate RPI yourself using the contest data files, for one particular team (Arizona St during the 2014 regular season) and see if you get the same numbers we do. (2) [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/forums/t/12400/extra-data-massey-ordinalsKenneth Massey has done a fabulous job assembling many years of weekly rankings from dozens of sources - big names like Sagarin, Pomeroy, Colley, USA Today Coaches, Associated Press, and many more. With his permission, I have collected those into a large file which provides the historical rankings as ordinals (i.e. 1 for the top-ranked team, 2 for the second-ranked team, etc.) from all these sources. That file can be found in this forum posting. (3) [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/forums/t/12395/extra-data-historical-pointspreadsFor some (but not all) of the historical games, we have a nice list of the pre-game pointspread predictions from various sources. This information came from the archival pages of the ThePredictionTracker website last year. Although you do not need to make pointspread predictions directly for the contest, this information may still be of use during the development of your prediction model. (4) [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/forums/t/12396/extra-data-game-flow-detailsThe biggest new feature in this year's data is the inclusion of team total statistics (FGM, FGA, FTM, FTA, etc.) for each team in each game, going back a dozen years into the past. We are excited to see whether people can make good use of this information. To assist you if you are trying to build a simulation model, we are also providing play-by-play details (still at the team level) from 1,000 games. This can help you to understand the typical play-by-play flow of college basketball games, and potentially assist you in your simulation model and ultimately your prediction model. (5) [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/forums/t/12392/conference-affiliationsOne piece of supplemental information that many people request is the conference affiliation for each team. We don't consider this to be vital information but you may like to have it. In addition, some people like to incorporate geographical information for colleges and tournament host cities, in order to assess the impact of travel upon team performance. If you want to get either conference affiliation or geographical information, check out this forum topic and the files posted there. (6) [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/forums/t/12394/mapping-file-to-external-team-namesFinally, a task that is often quite painful is to align external data sources with your other data, when the team names don't match. Everyone is in the same boat here; we all have to do it to a certain extent, and nobody finds it very easy. To help make this not quite so painful, I have posted a file that contains various spellings of the different team names, mapped to our current team ID's. I encourage others to add to this list and repost their files to this forum topic, so that it can go much more smoothly when you want to map external team names to the team records in our contest data. Good luck! -- Jeff",3,bronze,21,Wed Feb 04 2015 09:38:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12404,/competitions/march-machine-learning-mania-2015,142nd
/wcukierski,regular_season_detailed_results.csv has been updated,"Hi all, We have just updated regular_season_detailed_results.csv (it previously contained duplicated columns). If you have already downloaded this file, please re-download it and replace the old version. No other files have been changed. Thanks and sorry for the switch!",2,bronze,2,Wed Feb 04 2015 14:08:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12405,/competitions/march-machine-learning-mania-2015,None
/jiweiliu,Release of up-to-date 2014-2015 season data.,"""Monday, Mar 16 - Kaggle begins to accept 2015 predictions. Release of up-to-date 2014-2015 season data."" This new data is supposed to be regular season data, is it? Or in the first stage, we are not supposed to train using tourney results of the same season? My submissions are just removed and I'm thinking that's may be caused by training with the tourney results of the same season. edit: please don't remove my latest submission. It is trained with regular season data only.",0,None,3,Wed Feb 04 2015 14:28:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12406,/competitions/march-machine-learning-mania-2015,220th
/jaymoore,Anyone managed to use wget from a Google login?,"I'm trying to wget the data, which requires Kaggle credentials. I usually log into Kaggle using a Google login, anyone any idea how to get that to work in wget? I've tried going down the lynx route, to capture the cookies and pass them to wget, and I can log into Google OK through lynx, but can never get as far as getting Kaggle to log me in using lynx. Do I need to make a specific Kaggle login with its own username and password? I know this is against Kaggle rules in any case (using multiple logins).",1,None,18,Wed Feb 04 2015 15:22:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12407,/competitions/malware-classification,278th
/domcastro,"Why "" submit predicted probabilities for every possible matchup""",I don't understand this! How can you evaluate matches that never existed? EDIT: is it because they might meet in next stage?,0,None,4,Wed Feb 04 2015 18:56:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12408,/competitions/march-machine-learning-mania-2015,8th
/computerguyted,"rules clarification please - ""human prediction""?","Under the heading ""Submissions"", the rules state: Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records. What constitutes human prediction? If, for instance, I create a formula composed of a certain number of factors and decide to exclude one or more of them entirely or in part for various reasons (relatively small correlation with clicks in the training set, small number of records falling into one or more of the values for the factor, I just don't think certain factors would help, etc.), would that be a violation? What would clearly violate of this rule? Thanks, Ted",0,None,5,Wed Feb 04 2015 22:38:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12410,/competitions/avazu-ctr-prediction,1252nd
/clustifier,R glmnet,"Hi all, Has anyone tried R glmnet for this competition? It looks good match to me but I don't have much experience with glmnet or R. Best, C",2,bronze,1,Thu Feb 05 2015 00:48:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12412,/competitions/avazu-ctr-prediction,14th
/taishomono,How to account for similar trips?,"Hi, I made a script to detect similar trips. Basically, 2 trajectories are 'similar' if part of their trajectories match (in distance and not in time - independently of rotation and of flip). This works perfectly well. I found no error for the dozens of drivers I visually checked. I get an average of similar trips of ~50, with some drivers having no similar trips while others have nearly 100. For driver1, I get the following similar trips: [6, 44, 48, 73, 102, 107, 145][10, 11, 19, 129, 199][13, 27, 64][20, 125, 197][25, 55][60, 100][88, 105, 143, 146, 147, 195][96, 117][156, 162] My question: what to do with this?? In fact, I am pretty confuse because according to the post from Rob0 https://www.kaggle.com/c/axa-driver-telematics-analysis/forums/t/12321/python-code-to-automatically-draw-repeated-trips/63187#post63187, similar trips have 100% of prob to be from the given driver. Accordingly, I started with a model having a score of 0.85888. I boosted the prob for similar trips to 1 ... and it downgraded the results to ~.64! --> it probably means that there can be similar trips in the random trips added to the driver. shit! Then any idea about what I could do with them? thanks tai",0,None,11,Thu Feb 05 2015 14:37:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12416,/competitions/axa-driver-telematics-analysis,10th
/datalover256074,Feature Extraction,"Hello all Please, I am very new to data science and image processing. I have very hard time with feature extraction. I would appreciate if you refer me any tutorial, book, etc that could help me. I read briefly opencv feature extraction and skimage features but to be honest didn't understand it and didn't get any idea on how to use them. Thanks for any help",0,None,21,Thu Feb 05 2015 14:45:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12417,/competitions/datasciencebowl,282nd
/goldman88,calculate stops,"Dear All, Can anyone tell me how to calculate stops?",0,None,9,Thu Feb 05 2015 17:31:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12418,/competitions/axa-driver-telematics-analysis,347th
/justmarkham,Should you teach Python or R for data science?,"Hi all, I'm a data science instructor (and Kaggler), and I enjoy writing about data science (especially for those who are just getting started in the field). I posted this on Monday: [Link]:http://www.dataschool.io/python-or-r-for-data-science/ It has a lively comments section going on, and I'd love to hear your personal perspective, either here in the forums or in the blog comments. Fun fact: There's a thoughtful blog comment from Trever Stephens, the author of the original ""Getting Started"" tutorial for the Titanic competition. Is there anyone on Kaggle who has *not* read that? :) Thanks for reading! Kevin",3,bronze,5,Thu Feb 05 2015 17:57:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12419,None,None
/weedjy,Sharing the code,"hi, the question is not only for this competition, but for others also, I think. the rules of competition(s) usually say that it is ok to share the source code if it is available to all participants on the forums. is it ok just to provide the url to github repo which is indicated by sign on the leaderboard without writing anything to the forum of competition?",0,None,2,Thu Feb 05 2015 22:25:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12421,/competitions/poker-rule-induction,47th
/iyassine,Is there some who try with VBA?,"Hi everyone! I'm not a professionnal and neither a computer scientist, so I didn't use R code for this problem but Visual Basic, and I get good results (0.49) I think. Someone else like me? Using VBA?",0,None,1,Thu Feb 05 2015 23:54:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12422,/competitions/bike-sharing-demand,649th
/jieqchen,What tool do you guys use for this problem?,"I have never processed data of such a huge size. I am wondering what tool everyone use to build model out of the data? I saw Microsoft Azure Machine Learning in the Acknowledgements of this competition. Does any use that? If so, is it good. I am familiar with R and Azure has support to run R code, but not sure how that scales to large data.",2,bronze,24,Fri Feb 06 2015 02:25:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12423,/competitions/malware-classification,14th
/mtlsci,Don't do what i did :) ,"Hi Community! So I trained a Cart tree with a subset of the data set. For my training set I used a bootstrap method to generate data. BUT and this I think was my mistake, I really only used a relatively small sample using bootstrap (200). I thought that when I tested it against my test set....since it consistently got around 70% of the ages right....I figure that meant I was making a good prediction. I used a 'leaf' size of 5-10. Since I ran a cross validation that showed my best fit was <20 (which makes sense since I didn't have that many samples to begin with). If I had to guess, i did not use enough samples to capture the features. Second, I tried to do relatively little data analysis on the data at the beginning since i wanted to pretend i didn't know anything about the relationships. I have a feeling a few predictors aren't doing anything, so having more data points only clouded the features more. best regards",0,None,3,Fri Feb 06 2015 06:44:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12425,/competitions/cme-250-class-prediction,58th
/vvarkey,submission error,"i'm getting this on 2 different machines on both firefox and chromium browsers. both are debian machines. anyone else having problems, or is it just me?",0,None,2,Fri Feb 06 2015 11:06:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12426,/competitions/avazu-ctr-prediction,43rd
/hanshupe,Model Selection Problem,"I am asking if there already exist approaches and researches on the following topic. Imagine there are 10 stores and in 3 stores labeled training data was available, so I built 3 classification models based on those datasets (e.g. to classify my customers into A, B, C customers). All stores basically have similar characteristics, but Model A will work best with Store A, Model B best with Store B, etc. because of geographical or cultural differences. If training data is not available for my other 7 stores, is there any approach to find out if I should use Model A, B or C for my Store D data? I assume the data distribution of Store D must be compared with those of A, B and C to estimate which model will work best. Any ideas or recommendations of existing papers about that topic? Thanks!",0,None,5,Fri Feb 06 2015 15:25:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12427,None,None
/chengwliu,Difference between the data sets and real statistics? ,"Just a quick clarification question. In regular season 2013-2014, Wichita State (team_id = 1455) has record 35-1 (in fact, 35-game win streak). However, when checking the data set ""regular_season_detailed_results.csv"", only got 33 winning games are found. >regular <- read.csv(""regular_season_detailed_results.csv"", header=TRUE) > dim(regular[regular$season==2014 & regular$wteam==1455,])[1][1] 33 any comments?",0,None,4,Fri Feb 06 2015 17:46:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12428,/competitions/march-machine-learning-mania-2015,253rd
/jfraj0,presentation for details ,"Hi, In the Data columns section, the HydrometeorType as in its description: ""See presentation for details."" Where can I find the presentation? Thanks, JF",0,None,2,Fri Feb 06 2015 20:07:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12431,/competitions/how-much-did-it-rain,102nd
/preeti,"Slicing rows in a csv file with R, based on a condition ","Hi , I want to slice files ,between two stops in a small data frame.For example in a trip when speed comes to zero , and next when it comes to zero , I want to extract all in between rows of that trip. I think slice or split functions are useful but i dont know how to apply condition.",0,None,2,Fri Feb 06 2015 20:57:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12432,/competitions/axa-driver-telematics-analysis,347th
/abhishek,?? in hexdump,What does ?? represent in hexdump data?,0,None,12,Fri Feb 06 2015 21:55:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12433,/competitions/malware-classification,33rd
/sgamez,Weird trips are weird,"hi there, while i was trying to visualize some trips and some info related to these trips i found some weird trips for the driver 143. The weird trips are the trips 100,101,104,111,113... (maybe there are more of them) the driver spends around 10 minutes without moving at all...have you found this kind of behaviour anywhere else? the file attached is the trip 104 for the driver 143 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63727/1969/driver143.jpg",1,bronze,1,Fri Feb 06 2015 22:01:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12434,/competitions/axa-driver-telematics-analysis,410th
/maciekchudek,Getting the data into R,"Not sure how other R users loaded in the JSON data, but I just spent a half hour figuring it out so thought I'd post the code here to save others the hassle: library(""rjson"")d = as.data.frame(do.call(""rbind"", lapply(fromJSON(file='train.json'), function(z)unlist(lapply(z, function(x) ifelse(is.null(x) || length(x) == 0, NA, ifelse(length(x)>1, paste(x, collapse='; '),x))))))) Quick insight into the challenges: 1. You've gotta replace missing data (e.g., NULL or empty vectors) with NA. 2. Since R dataframes are 2D, you've gotta convert any lists of lists (i.e., ""requester_subreddits_at_request"") into a 1D structure. I used a semicolon-separated string.",3,None,2,Sat Feb 07 2015 00:02:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12435,/competitions/random-acts-of-pizza,None
/maciekchudek,Cheating?,"New user here, so excuse my naivete. I assume there's no prize or points for this one because it's so easy to cheat, since the ""correct"" answers are readily available on reddit. Are kaggle taking any action to detect and exclude such cheating? Will winners need to reveal the code that generated predictions for verification, and rejected until we find someone who demonstrably did it using only the training data? What about cases where a potential winner's algorythm relied some form of randomness (e.g., genetic algorithms, neural networks, etc.)? Would the algorithm need to reproduce reliably accurate answers again? I understand that this competition is just for fun, but I'm still curious in principle.",2,bronze,11,Sat Feb 07 2015 00:40:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12436,/competitions/random-acts-of-pizza,None
/abualhassan,How to know if my data is balanced or imbalanced for an ROC curve analysis?,"I am doing a research on the reliability of different models in detecting hidden defects in a test specimen. I have made a test specimen with defect prevalence about 25% (12 positive out of 49 total points). Is this data considered as a balanced or imbalanced data for this purpose? What do you recommend to use with this data set, ROC or PR curve? if it is imbalanced, what is the minimum percentile that satisfies the balanced data condition?",0,None,4,Sat Feb 07 2015 01:47:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12437,None,None
/pico4743,log loss computation problem,"Is there some fuzzing applied to the log loss computation that would prevent me from implementing it myself? My version gives me a matching answer for the 50/50 benchmark, but doesn't match when I run it against my submission. I get 0.59111 for my current entry while that same entry on the leaderboard reads 0.58463. I extracted the 268 game results from tourney_compact_results.csv for years 2011-14. and the summation term looks like this: term = (yi * Math.log(yhati) + (1.0 - yi) * Math.log(1 - yhati))",0,None,3,Sat Feb 07 2015 03:29:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12438,/competitions/march-machine-learning-mania-2015,213th
/goldman88,Scatterplot with ggplot2 in R,"p=ggplot(mydata,aes(x=x,y=y,color=TID,xlim=c(0,-600),ylim=c(0,1200),cex = 0.9)) p + geom_path() + ggtitle(""trips, with geom_path()"") I want to set x and y axis values.However,It's showing me error for xlim and ylim Please help me out",0,None,1,Sat Feb 07 2015 18:21:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12440,/competitions/axa-driver-telematics-analysis,347th
/marekcygan,"Solution of team ""Master Exploder""","As [Link]:http://www.kaggle.com/c/helping-santas-helpers/forums/t/11472/our-approach, with some delay though, we provide full description and sources for the solution of our team ""Master Exploder"" (with Marcin Mucha). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63756/1970/master_exploder.tar.7z [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63756/1971/writeup.pdf",4,bronze,2,Sat Feb 07 2015 21:38:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12441,/competitions/helping-santas-helpers,1st
/ntos291356,GIS & Data Science... Anyone know a good starting point?,"I have professional experience in GIS...I know python programming but mainly working in GIS, and doing web dev. Anyone know maybe some courses preferably using open soft GIS software, that will help me better understand the intersection of these two topics?",1,None,4,Sun Feb 08 2015 06:32:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12442,None,None
/drpatrickchan,Getting the binary file from the hex dump,Have anyone tried getting the binary from the hex dump?,1,None,5,Sun Feb 08 2015 10:53:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12443,/competitions/malware-classification,199th
/matthewcrowson,Logloss Calculation in Python,"For those of you who may find this helpful: from math import log def logloss(y, yhat): score = -sum(map(lambda y, yhat: y*log(yhat) + (1-y)*log(1-yhat), y, yhat))/len(y) return score",1,bronze,2,Sun Feb 08 2015 23:17:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12444,/competitions/march-machine-learning-mania-2015,None
/mik3hall,Benchmark score,"Shoud the test submission give you the benchmark score? I began this by modifying the test submission. One thing I added was a calculation of RMSE for rainfall predictions versus Expected. For fallback in my first submission I use the test submission RR1 values if I have missing or bad data. Due to apparent limited good data, and going by RMSE, I expected my first submission to be slightly better than the benchmark. One reason I made this the first submission was was to test if the test submission/benchmark score match was a valid assumption. I could exactly submit the test submission but given that this is a ""rated"" competition this could be some sort of honor code violation? Not my own work. At all. Looking at the leaderboard again it says it does say the benchmark is the test submission so I guess I just have to figure out why my results are so much worse, contrary to RMSE.",0,None,2,Mon Feb 09 2015 01:46:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12445,/competitions/how-much-did-it-rain,297th
/thierrys,Stupid solution,I had some fun creating this solution. With this you can create a submission below 0.2 in less than 5mn. [Link]:https://thierrysilbermann.wordpress.com/2015/02/08/stupid-solution-to-malware-classification/ [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63788/1974/figure_1_v2.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63788/1975/figure_2_v2.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/63788/1976/stupid_solution.py,19,gold,4,Mon Feb 09 2015 02:25:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12446,/competitions/malware-classification,181st
/oliverhan,Any suggestions on downloading the dataset? ,"It is sooo HUGE that my chrome says ""7 days left"" for downloading this, but once I finish my work shift the download would be stop and I will never finish downloading it. Any tricks/ hacks for getting the downloading job done? Thanks!",0,None,17,Mon Feb 09 2015 03:18:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12447,/competitions/malware-classification,318th
/jeffhebert,"What changed: Rules, Rankings, or the Game","After a day of working with this data, I've noticed that older seasons are different from recent seasons. My CV accuracy is pretty good if I use recent 5-10 years, but accuracy falls off with older games. I'm wondering if there were some changes in how seed rankings were determined over the years. Or is this a change in how games are played.",0,None,6,Mon Feb 09 2015 03:34:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12448,/competitions/march-machine-learning-mania-2015,196th
/jona1113242,R help: Using the caret library to optimize models for log-loss,"I FIGURED OUT THE PROBLEM MYSELF. SEE BELOW FOR A FIX AND SOME FREE CODE. By default it will optimize your model for either accuracy (if your model is a classifier) or RMSE (for a regression model). It's pretty easy to switch those to ROCAUC or R^2. My log-loss function works great when used on vectors of observed wins and predicted probabilities, but I'm having trouble writing a wrapper to use inside caret's trainControl() function. I wrote: mysummaryfunction = function(data, lev, model){#http://topepo.github.io/caret/training.html#metrics data[,'pred'] = 1/(1+exp(-data[,'pred'])) #this is the line I added to fix my problem. ll = logloss(data[, ""obs""], data[, ""pred""]) #this is another function I defined. ret = ll; names(ret) = 'logloss' return(ret)} And use it inside of cvCtrl = trainControl(method = ""repeatedcv"", repeats = 3, summaryFunction = mysummaryfunction) The train() function finishes without errors, but the output is weird and the resulting model is horrible (loss less than 1). Fixed! I hope my blunders help other people.",1,None,2,Mon Feb 09 2015 05:34:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12449,/competitions/march-machine-learning-mania-2015,79th
/jiweiliu,Also looking for a new teammate,Hi there. We would also like a new teammate and some fresh angle. Our method is heavily based on speed quantile features and gradient boost method from [Link]:http://www.kaggle.com/c/axa-driver-telematics-analysis/forums/t/11299/score-0-66-with-logistic-regression. Trip matching doesn't contribute much. we prefer high ranks of course : ) but we are also looking for someone who use different approach and have insight into the data structure. please email me aixueer4ever@gmail.com or just reply here. we will contact you. Thank you very much! Edit: we found someone. Team merging is so fun. Good luck to all!,0,None,8,Mon Feb 09 2015 15:56:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12452,/competitions/axa-driver-telematics-analysis,22nd
/oneoff,Submission deadline,"My out of sample LogLoss error is 0.3820499 on train dataset with CV, but I have memory problems when trying to create final submission (because my method needs merging train and test datasets and I use R, which is rather not very suitable for such kind of tasks). So what can I do now ? Will full test dataset (with clicks) be avaiable after end of contest ? I would like to test my algo in future on it.",0,None,2,Mon Feb 09 2015 20:51:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12454,/competitions/avazu-ctr-prediction,1368th
/gmilosev,Awfully quiet,"So let me break the silence :). I'm running SGD AdaGrad (C# implementation no hashing - dicts instead). 2 epohs, 18 interactions, no L2 and L1 in form of feature occurrence. I'm not using single model, but like 1500 of them built around device_ip / app_id and site_id. They are all trained on the fly, but only some of them end up making final predictions. I hopped for better LB score from them, but I guess: sometimes less is more. I've found most problems with site_id 17d1b03f which does not exists in train set but is 25% of test set. Didn't really found out how to effectively handle it. Anyway, it was a fun, looking forward to read about other solutions. Good luck to you all. br, Goran M.",2,bronze,9,Mon Feb 09 2015 21:10:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12455,/competitions/avazu-ctr-prediction,39th
/elenacuoco,Big difference between local MCL score and LB one,"Hi All, I got my 2.12 using SVC on filtered resized images and a RandomizedPCA for features selection. What puzzled me is that often the values I found locally for MCL (for which I used the tutorial code) is very different from the one in the LB. Locally the range of MCL is in the interval 2-4, but sometimes when I submit results I found also values from 5 to 24!! I used a modified version of tutorial code, but I prepared the train and the test data before the classification using skimage algo. thanks",1,None,2,Mon Feb 09 2015 21:16:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12456,/competitions/datasciencebowl,217th
/tmnt58891,Release of Data,"Hi everyone, I am new to Kaggle and joined this competition a few weeks ago (agreed to the specific competition rules and downloaded the data). Now I wanted to make my first submission - just before the deadline - to measure the results of my efforts :) However the system stops me. It turns out the ""enter/merge deadline"" only allows users to participate who have already made a submission. Agreeing to the rules and downloading is not enough to ""enter"" :( So does anyone know if the private ranking data will be available after the competition? I am dying to know my standing and also quite sad about the misunderstanding. all the best PS: e999fa11289674da8ad2d63c917422b2 submission.1c5a8ce5f46d84a7e4609b7004d04efc4 submission.2 7ca385ea78c729bef04671574f47e4d4173a927e submission.163d0deb0b3d17a371a9ad28b7227bc8d93cda632 submission.2",1,bronze,1,Tue Feb 10 2015 00:40:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12459,/competitions/avazu-ctr-prediction,None
/inversion,Congrats to the winners!,This was a LONG competition. Well played.,8,bronze,52,Tue Feb 10 2015 01:06:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12460,/competitions/avazu-ctr-prediction,32nd
/davidthaler,Tiny LB shakeup,"I'm surprised at how small the LB shakeup was in this one. According to the forums, people were having trouble getting reliable validation scores, and that is often a sign of a big LB shakeup. BreakfastPirate introduced a 'Leaderboard Shakeup Metric' in this post: [Link]:http://www.kaggle.com/c/liberty-mutual-fire-peril/forums/t/10187/quantifying-leaderboard-shake-up/52898#post52898. By that measure, this competition had one of the smallest shakeups ever. From that thread: Competition Shake-up Shake-up (Top 10%)See Click Predict Fix 0.004 0.005Genentech 0.006 0.000Walmart 0.007 0.006Yelp 0.007 0.007 and now... Avazu 0.005 0.006 There are some results for reference down-thread there: [Link]:http://www.kaggle.com/c/liberty-mutual-fire-peril/forums/t/10187/quantifying-leaderboard-shake-up/52919#post52919.",6,bronze,7,Tue Feb 10 2015 01:33:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12461,/competitions/avazu-ctr-prediction,37th
/danielmedina,Data from Predicting 30 Day Hospital Readmissions,"Hi, I am looking for some data to create a model that could predict hospital readmissions. I saw that there was a competition named ""Predicting 30 Day Hospital Readmissions"" (https://inclass.kaggle.com/c/predicting-30-day-hospital-readmissions) but its a private competition. Can anyone help me sharing me the data? I just want to test myself. Thanks so much!",2,None,10,Tue Feb 10 2015 05:31:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12463,None,None
/gangbeng,Do the top winners use the anonymity feathers?,"First,congrats to winners,and this is a fun competition. I use named feathers to create new feathers such as clicks per person per app_id/site_id and so on,the first/last time one person click the app_id/site_id/app_cate/site_cate ,totally create about 130 feathers,and it does not work ,only get 0.42 on the LB with the anonymity feathers. And I wonder how to use anonymity feather? Something wrong with my feather engineering? Would you share your feather engineering method?",0,None,6,Tue Feb 10 2015 07:03:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12464,/competitions/avazu-ctr-prediction,1278th
/sachinvernekar,Can you guys share percentage accuracy on validation data?,"Hi, Can you guys share percentage accuracy versus log loss score on your training data? I have a score of 1.06 with 67.5% accuracy on validation data.",1,None,36,Tue Feb 10 2015 10:35:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12465,/competitions/datasciencebowl,149th
/dulyanov,Multiple accounts,"There are several users with names like 'GBM_2015_A', 'GBM_2015_B', admin, can you please check these guys ?",0,None,1,Tue Feb 10 2015 14:38:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12466,/competitions/inria-bci-challenge,94th
/robertfontaine,Complete Newbie Questions...,"I'm currently collecting some hardware so that I can play along but I thought it would be good to start thinking about these. I drew a picture on the window at work this morning and tried using a little intuition. This one is interesting before any analysis takes place. Ignoring what the appropriate algorithms for discovering features I'd like to start with... Big Data, Small Compute: What the !@##$ do you do with 400GB of data. Compression and transformations that make this a manageable size but are inherently lossy. I can't get all this data into main memory or gpu memory, and I don't have the money to throw it all into one big data structure in the cloud so... 1. How do I resolve an appropriate sample size? Can I measure the randomness of the data and get some kind of metric? 2. Can I get some gross measures from the data that let me categorize semi-intelligently? 3. Given that memory, processor, time, and effort are all constrained I could start with small random sample and grow them progressively and see what falls out. Take what falls out and massage it in and see if anything else falls out when you mix them together. Not quite spray and pray but not terribly deterministic either... Am I asking the right questions? ...",0,None,12,Tue Feb 10 2015 20:12:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12468,/competitions/malware-classification,None
/mariofilho,What was your best single model?,"Hey guys, My best single model scored 0.3917 on the public leaderboard, and was the tinrtgu code with: - Manually engineered interactions. I had more success with interactions based on 5+ features. - Coding features that appeared less than 5 times in the training set as ""rare"". - Removing single features that decreased performance based on a day 30 validation. Thanks tinrtgu for the amazing code, and congratulations to the winners.",7,bronze,20,Tue Feb 10 2015 20:50:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12471,/competitions/avazu-ctr-prediction,42nd
/tantrev,GBM Settings,I'm wondering if anyone has comments on reasonable GBM settings? I've been stuck with the same pitiful CV score locally after trying a number of feature extraction techniques.Mine are:step size shrinkage: 0.05trees: 500max depth: 3objective: binary:logistic,0,None,2,Wed Feb 11 2015 01:07:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12473,/competitions/inria-bci-challenge,47th
/yankov,How clean are the .asm files?,Question to admin: Is it possible that any of the .asm files are obfuscated by anti-disassembling techniques or a packer?,0,None,2,Wed Feb 11 2015 06:38:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12474,/competitions/malware-classification,121st
/evgsokolov,Код с семинара,"Здесь можно найти то, что я вбивал в консоль на семинаре: https://gist.github.com/anonymous/997698b78a8627bd0aa0",1,None,4,Wed Feb 11 2015 09:51:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12475,/competitions/cmc-msu-machine-learning-spring-14-15-competition-1,15th
/cartographic,Vowpal Wabbit lessons,"Having used it for the first time here, I think I'll remember this competition for properly introducing me to Vowpal Wabbit. And thanks again to Triskelion for all the valuable Kaggle posts and blog entries. With that in mind, would anyone care to share what did and didn't work for them with vw? I'm not really thinking of top-of-the-leaderboard scores. It would just be useful to know more about the different vw parameters or data preparation steps that helped and which approaches were easier to implement. In my case, I found it too difficult (impossible?) to just throw in all quadratic interactions and rely on regularisation. So I created separate namespaces for each variable and used a small sample to identify the most promising interactions to add manually (I also needed to remove the pesky hidden line endings in the raw data files). Which meant my code amounted to: tr -d '\r' < Data/train.csv > Data/train_clean.csv awk -F, 'NR > 1 {print ($2*2)-1, ""|a"", ""a_""$4, ""|b"", ""b_""$5, ""|c"", ""c_""$6, ""|d"", ""d_""$7, ""|e"", ""e_""$8, ""|f"", ""f_""$9, ""|g"", ""g_""$10, ""|h"", ""h_""$11, ""|i"", ""i_""$12, ""|j"", ""j_""$13, ""|k"", ""k_""$14, ""|l"", ""l_""$15, ""|m"", ""m_""$16, ""|n"", ""n_""$17, ""|o"", ""o_""$18, ""|p"", ""p_""$19, ""|q"", ""q_""$20, ""|r"", ""r_""$21, ""|s"", ""s_""$22, ""|t"", ""t_""$23, ""|u"", ""u_""$24, ""|v"", ""v_""substr($3, 7, 2)}' Data/train_clean.csv > Vowpal/train.vw vw -d Vowpal/train.vw -f Vowpal/model_sub3.vw --loss_function logistic -l 0.07 -c -k --passes 4 -b 25 --holdout_after 32377421 --hash all --l1 1e-8 --l2 1e-8 -q d: -q f: -q bk --cubic bdk --cubic bfk --ignore l --ignore v Which gave a public leaderboard score of 0.3918 after re-running with holdout_off. The interactions relied mainly on site_domain (d) and app_id (f). Not sure if I made a mistake, but feature_mask didn't work for me. And after re-categorising rare features into 'other', I found the neural network option on vw to be too slow on my hardware.",6,bronze,12,Wed Feb 11 2015 10:03:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12476,/competitions/avazu-ctr-prediction,93rd
/femibyte,Survival Table an example of Naive Bayes ??,"Hi, is the survival table classification an example of an application of Naive Bayes ? I am asking because I am reading up on Naive Bayes and the basic idea is as follows:""Find out the probability of the previously unseen instancebelonging to each class, then simply pick the most probable class"" The survival table seems like an evaluation of the possibilities of survival given possible combinations of values of the chosen features and it seems to me like it is Naive Bayes in another name. Can someone shed light on this ?",0,None,3,Wed Feb 11 2015 10:06:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12477,/competitions/titanic,None
/jeongyoonlee,Kaggler - Python Package for Kaggler,"Hi all, It was another great competition with tons of learning - special thanks to tinrtgu and fellow Kagglers who shared their insights, and big congratulations to the winners! Here I'd like to share what I've put together for online learning as a Python package - named [Link]:https://github.com/jeongyoonlee/Kaggler. You can install it with pip as follows: $ pip install -U Kaggler then, import algorithm classes as follows: from kaggler.online_model import SGD, FTRL, FM, NN, NN_H2 Currently it supports 4 online learning algorithms - SGD, FTRL, FM (original version, not 3 idiot's yet), NN (1 or 2 ReLU hidden layers). It uses the [Link]:http://www.csie.ntu.edu.tw/~cjlin/liblinear/ style sparse input format - It is chosen so that the same input file can be used across other popular tools such as [Link]:https://github.com/tqchen/xgboost, [Link]:https://github.com/JohnLangford/vowpal_wabbit/wiki (with slight modification), [Link]:https://github.com/srendle/libfm, [Link]:http://svmlight.joachims.org/, etc. Code and examples are available at [Link]:https://github.com/jeongyoonlee/Kaggler, and package documentation is available at [Link]:http://pythonhosted.org//Kaggler/. I plan to update it as I participate more competitions and learn more - supporting the CSV input format and adding [Link]:https://github.com/comadan/FM_FTRL will be my next update. Hope you guys find this useful, and see you at other competitions! :)",47,gold,32,Wed Feb 11 2015 10:17:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12478,/competitions/avazu-ctr-prediction,48th
/mostafafr,Using convnets,"I am trying to use convolutional networks, along the paper of Yoon Kim (which is based on a method of Collobert) ""Convolutional Neural Networks for Sentence Classification EMNLP 2014"" His code is here: https://github.com/yoonkim/CNN_sentence However, training is very slow, because for the kaggle dataset, reviews are much longer (>2000 characters/review, while in his dataset, it is 50 characters/review) Do you have an idea how to reduce the size of the input of the convnet? A text-analogous of resolution reduction for images?",1,bronze,1,Wed Feb 11 2015 10:32:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12479,/competitions/word2vec-nlp-tutorial,None
/rowanyuan,Does anyone use R ？,Does anyone use R ？,0,None,6,Wed Feb 11 2015 11:45:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12480,/competitions/avazu-ctr-prediction,None
/jaehyunlim,Code to print out predictions (probs) for Caffe ,"I wrote a code to print out prediction probabilities. I want to share it for the people who use Caffe, but suffer from printing out predictions. More precisely, this code print out the activities of the last layer. If the last layer is softmax, you will get probabilities. This code only works with DATA (esp. LMDB) and IMAGE_DATA layer. I thinks this code is somewhat simple, so you can modify it to your data layer. Put this file to $CAFFE_ROOT/tools/predict.cppcompile it with ‘make’ command at $CAFFE_ROOT I tested the code on Ubuntu 14.04 LTS with nvidia titan black. I’m not familiar with copyright. If there is any problem sharing this code, please let me know. I hope this is helpful to you. :) Jaehyun Lim [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64030/1986/predict.cpp",5,bronze,13,Wed Feb 11 2015 15:29:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12481,/competitions/datasciencebowl,22nd
/elenacuoco,HOG+SVM,"Does anyone use HOG transform+SVM? I tried, but I didn't find the results I hoped. It is worse than simple image manipulation+features selection.",3,None,4,Wed Feb 11 2015 15:43:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12482,/competitions/datasciencebowl,217th
/paddywhacker,Windows update is my bane,"Was running a filter that would take a week to run. On day 5 there was an automatic Windows update that rebooted the computer. Now I have to run it all again. The take-home lesson: move your data to Access or MySQL, then you can arbitrarily stop and restart manipulations because you can flag records as done or not done.",0,None,7,Wed Feb 11 2015 15:59:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12483,/competitions/how-much-did-it-rain,None
/shuhei,Really difficult to understand this competition,"I'm really struggling with understanding this competition. To say concretely, I don't understand well what I need to submit. What we have to submit is the predicted probabilities of every matches of these contest(2011-2014). But we already know the consequences of those matches, which one won and another lost. Actually if the matches which never occurred are ignored, the number of matches we have to predict is so small and we know the consequences of those matches. The predicted probabilities becomes perfect (this is not probability any more). I don't know well. But this stage 1 of this competition is just for making models for stage 2? If this stage 1 is just for making models and scores are just a norm for checking the accuracy of the models, I can understand. I even don't know this question is appropriate or not. Sorry.",0,None,11,Wed Feb 11 2015 18:50:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12485,/competitions/march-machine-learning-mania-2015,None
/barisumog,A couple of questions about the test set,"Firstly, sorry if these have been answered before. I've skimmed the relevant forum threads, but maybe I missed a decisive post. The number of samples per class in the train set is quite varied, and the test set is known to be injected with extra samples that are not scored. This makes me wonder about a couple aspects of the test set: 1. Does the true test set (excluding the injected samples) have a roughly similar class distribution to the train set? I believe this is important for setting up a local cross-validation scheme. 2. Are the injected (non-scored) samples drawn from a larger population as is, or are they somehow fabricated? The test set is 4 times the size of the train set, so it has the major weight with respect to unsupervised training. If the injected samples are superficial, I suspect they could cause trouble with unsupervised attempts. I understand Kaggle and the sponsors may not be willing to answer these, with rightful concerns about cheating, or favoring a robust solution. I still wanted to take my chance and ask, just in case they are fine with sharing this information. Thanks!",1,bronze,5,Wed Feb 11 2015 19:55:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12486,/competitions/datasciencebowl,250th
/zakjost85,Advice changing fields,Edit: Moving thread.,2,bronze,2,Wed Feb 11 2015 22:17:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12487,None,None
/neuralnetworks,Team,"Hi all, I am looking to put together a team for this challenge. Let me know if you are interested. Thanks",0,None,5,Wed Feb 11 2015 22:55:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12488,/competitions/datasciencebowl,23rd
/samleemanmunk,Using the data from this competition,"Hi, I'm a student at North Carolina State University working with the SAS Institute on text analytics tasks. Is this data available for use outside the competition?",0,None,6,Thu Feb 12 2015 00:16:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12489,/competitions/crowdflower-weather-twitter,None
/chevli,Beat the benchmark (~0.182) with RandomForest ,"Hi Kagglers, Here is my github repository for the solution that has scored 0.1826662 on leader board. https://github.com/vrajs5/Microsoft-Malware-Classification-Challenge Solution is quite simple, tiresome part is data preparation. It used only .byte files to predict category. It calculate frequency of two-byte-codes (00 to FF) along with ?? and use that information for prediction. Before using these files you have to follow this step: Extract .byte files from train and test 7z Gzip .byte files to .byte.gz format and move to train_gz / test_gz file. I know these two steps will take hell lot of time, for me 6 hours. :) Once you have 10868 train files and 10873 test files in gz format, run following commands python data_consolidation.py python solution.py Use it, tune it and score as low as you can. This script should run with Python-2 and Python-3 both. Let me know if you face any problems. Vishnu [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64097/1988/data_consolidation.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64097/1989/solution.py",17,gold,31,Thu Feb 12 2015 08:11:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12490,/competitions/malware-classification,72nd
/velraman,Data Scientist Learner.,"Hi All, I'm very much interested in learning data scientist tools and algorithms, having more than 8+ years of exp in java and algorithms. Please let me know if anyone interested to join me a team. email : vmn_electron@yahoo.co.in Thanks Velmurugan R",1,bronze,2,Thu Feb 12 2015 12:23:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12491,/competitions/malware-classification,None
/evgsokolov,Предобработка текста,"Небольшой пример того, как можно обрабатывать сырые тексты из выборки: https://gist.github.com/anonymous/1763b74e79359412ba42 Сначала из текста удаляются все символы, кроме букв и чисел, а затем к каждому слову применяется стеммер из NLTK. Перед тем, как запускать код, надо эту библиотеку установить: pip install nltk Если вы делаете это в виртуалке, то сначала нужно перейти в правильный virtualenv (подробности: https://virtualenv.pypa.io/en/latest/): source ~/ml-env/bin/activate Подробнее про стэммеры можно почитать здесь: http://www.nltk.org/howto/stem.html",1,bronze,4,Thu Feb 12 2015 12:29:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12492,/competitions/cmc-msu-machine-learning-spring-14-15-competition-1,15th
/cinnabon,we also should predict 68 teams in 2015 ? ,we also should predict 68 teams in 2015 ? or we will know what 68 teams are before the deadline ?,0,None,3,Thu Feb 12 2015 17:43:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12494,/competitions/march-machine-learning-mania-2015,None
/jscheibel,Value of a top solution post contest,"I'm sure this happens from time to time, someone working on a now defunct contest finds a way to get a substantially better result. Is there any outlet for said solution (beyond publish in forums that are probably not read much a week after said contest is ended)? Does the company sponsoring it want/have any desire for such a thing or is it all academic?",0,None,1,Thu Feb 12 2015 19:37:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12496,/competitions/avazu-ctr-prediction,795th
/dsjoerg,Team up and win,"Hi, I’m looking for a teammate or two. At the moment I’m #2 on the leaderboard, perhaps together we can get to #1 ! My background is primarily in software development (Harvard CS), with a few years’ experience in quantitative research and management. More about me here: http://davidjoerg.com/ and http://linkd.in/dsjoerg You can reach me at dsjoerg at gmail dot com. Ulterior motive disclosure: after this contest, I’m forming a small team to build a next-generation chess coaching system. The research required for this contest has some similarity to what’s required to build such a system. If that sounds possibly interesting to you, teaming up in this contest would be a way to find out if we enjoy working together. :)",0,None,14,Thu Feb 12 2015 22:13:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12498,/competitions/finding-elo,2nd
/chanprk,How to continue after the competition end,"Hi, I would like build my own evaluation module for my own post-competition evaluation, but I am not sure is it possible for me to do it the same way as Kaggle does during competition?",0,None,1,Thu Feb 12 2015 22:14:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12499,/competitions/sentiment-analysis-on-movie-reviews,None
/dansbecker,Help us help you,"Hi, I'd like to chat with some users to figure out how we can improve your Kaggle experience. For anyone willing to answer a couple questions and share your feedback over a short phone call, drop me a private message or email me at dan@kaggle.com Thanks for your help! Dan",1,bronze,1,Thu Feb 12 2015 22:46:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12500,/competitions/finding-elo,None
/dansbecker,Help us help you,"Hi, I'd like to chat with some users to figure out how we can improve your Kaggle experience. For anyone willing to answer a couple questions and share your feedback over a short phone call, drop me a private message or email me at dan@kaggle.com Thanks for your help! Dan",7,silver,1,Thu Feb 12 2015 22:47:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12501,None,None
/darrenhails,issues when running output = forest.predict(test_data),"Hi, am very new to ML and am just running through the tutorials on this. everything has been going well, but I have now come to a bit of a stand-still with the rendomforest section. when I run the output = forest.predict(test_data) command I get the following error: ---------------------------------------------------------------------------ValueError Traceback (most recent call last)<ipython-input-38-9beb8a095c1b> in <module>() 10 11 # Take the same decision trees and run it on the test data---> 12 output = forest.predict(test_data)//anaconda/lib/python2.7/site-packages/sklearn/ensemble/forest.pyc in predict(self, X) 418 """""" 419 n_samples = len(X)--> 420 proba = self.predict_proba(X) 421 422 if self.n_outputs_ == 1://anaconda/lib/python2.7/site-packages/sklearn/ensemble/forest.pyc in predict_proba(self, X) 453 # Check data 454 if getattr(X, ""dtype"", None) != DTYPE or X.ndim != 2:--> 455 X = array2d(X, dtype=DTYPE) 456 457 # Assign chunk of trees to jobs//anaconda/lib/python2.7/site-packages/sklearn/utils/validation.pyc in array2d(X, dtype, order, copy, force_all_finite) 118 raise TypeError('A sparse matrix was passed, but dense data ' 119 'is required. Use X.toarray() to convert to dense.')--> 120 X_2d = np.asarray(np.atleast_2d(X), dtype=dtype, order=order) 121 if force_all_finite: 122 _assert_all_finite(X_2d)//anaconda/lib/python2.7/site-packages/numpy/core/numeric.pyc in asarray(a, dtype, order) 460 461 """"""--> 462 return array(a, dtype, copy=False, order=order) 463 464 def asanyarray(a, dtype=None, order=None):ValueError: could not convert string to float: Kelly, Mr. James Any help is appreciated.",0,None,3,Fri Feb 13 2015 00:10:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12502,/competitions/titanic,None
/xiaozhouwang,Anyone wants to team up?,"I wrote an ensemble pipeline that I believe is tolerant to overfitting. I use 5 fold cross validation, each fold takes 20% of every subject as validate set. And I did some research on eeg features and include some features that I think might be useful, like correlation matrix, fisher information, etc. My current cv for one best single model is about 76%. I am looking for some team that does something on finding features. Please reply here or contact me by message. Thanks :)",1,bronze,5,Fri Feb 13 2015 01:13:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12503,/competitions/inria-bci-challenge,89th
/farhad,Charecterisitc Plots,"Whilst looking for some characteristic plots, I came across this: [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64158/1993/a34.png",4,bronze,6,Fri Feb 13 2015 10:29:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12504,/competitions/axa-driver-telematics-analysis,None
/del=ad8b7500f53bd697,Feature Extraction from Training Data,"Hi, I am new to data science and machine learning a complete novice. I took part in this competition to learn practical applications of ML. When I went through the training data I found it is made up of "".asm"" files, any ideas on how I can extract features from these files. I am a newbie in the field. Also is this the right approach? Thanks in advance. :) P.S.: Good-luck everyone.",1,bronze,4,Fri Feb 13 2015 16:09:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12505,/competitions/malware-classification,244th
/paddywhacker,RR1,"There are a lot of zeroes in RR1. Should they actually be zero, or be 'undefined', NotANumber, null, etc?",0,None,5,Fri Feb 13 2015 21:36:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12506,/competitions/how-much-did-it-rain,None
/samroyston,Evaluation Criterion,In the evaluation section the mathjax or whatever is broken so I cannot see the equations describing how submissions are evaluated. Does anyone have these?,0,None,1,Sat Feb 14 2015 01:01:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12508,/competitions/datasciencebowl,None
/domcastro,Play-ins 11a 12a,"I understand how there could be play ins at seed 16 (16a, 16b) but how can you get them for 12s and 11s? My gut is that the loser of 12a vs 12b would then become seed 13 but I know this doesn't follow from the data",0,None,4,Sat Feb 14 2015 01:47:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12509,/competitions/march-machine-learning-mania-2015,8th
/sorokinv,Why discard attempts to come close to a zero result?,"Why discard attempts to come close to a zero result? My sixth attempt, which came close to predicting the result was dropped on 13-14 February 2015.",0,None,1,Sat Feb 14 2015 05:42:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12510,/competitions/march-machine-learning-mania-2015,264th
/tammarat,Will demand for data scientist decrease because of AYASDI?,"I would like to start with this video: https://www.youtube.com/watch?v=3Z73Wd2T1xE I'm studying Data Analyst course at Udacity (https://www.udacity.com/nanodegree). Do you think Ayasdi will decrease the data scientist job? and should I contunue studying Nano Degree in Data Analyst at Udacity. What is your suggestion if I want to compete in Kaggle but do not have Ayasdi software. Because after I watched the Ayasdi video, it seems like many problem in Kaggle can be solve by their platform and don't need much expert people. What do you think? Will this decrease Data Scientist job? can the Ayasdi platform solve many of the problem in data world?",2,bronze,7,Sat Feb 14 2015 08:24:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12511,None,None
/robertbunn,Is anyone actually doing this for the prize money?,"$16,000 from Microsoft, for a solution that will probably have tremendous economic value to them? Am I missing something here? Just curious what reasons people have for competing in some of these competitions if they are already a professional data scientist. If you are a student, your reasons are obvious. Thanks, Bob",7,bronze,24,Sat Feb 14 2015 20:26:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12515,/competitions/malware-classification,None
/mmohaveri,Prize eligibility,"In competition rules page there is a paragraph that says:""You are not eligible to receive any Prize in the Competition if you are a resident of a country designated by the United States Treasury’s Office of Foreign Assets Control.""I have two question about this paragraph: 1) Is residency important or living country? I mean if I live in USA as a student while being an Iran resident, am I eligible to receive the prize? What if I'm a USA resident living in Iran? 2) If one of the team members is USA resident (living in USA) and the other one Iran resident (living in Iran) what's the state of prize eligibility?",0,None,1,Sat Feb 14 2015 21:12:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12516,/competitions/datasciencebowl,None
/wwwbigcupcommittee,Opportunity to present at WWW/BIG 2015,"Dear contestants, We are happy to see the interest in the malware dataset, and would like to remind that we will be giving an opportunity to present your work at BIG 2015, to be co-located with WWW'2015 in Italy. Not only the winning solutions, but also creative and innovative solutions, will be given prime quality exposure at the conference. Every new method is a step forward in the war against malware. Details to follow... :)",2,bronze,1,Sat Feb 14 2015 22:29:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12517,/competitions/malware-classification,None
/parkinsonzabelin,Please remove my entry 0.19990,I got that with test set + training set. please remove it.,0,None,2,Sun Feb 15 2015 01:46:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12518,/competitions/march-machine-learning-mania-2015,262nd
/yakamoz,scikit-learn Random Forest memory problem,"I'm running scikit-learn Random Forest with python 3.4 in windows 7 64-bit. I have this very simple model: RF = ExtraTreesClassifier(n_estimators=500) The dataset has 30,000 x 500 elements. Even with no parallel processing, the memory usage creeps up to 16 GB within a minute! I'm wondering why there is so much memory usage. My overall code is very similar to the code in the tutorial -- I even took out the cross validations to make it ""leaner"". Any suggestions? Thanks. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64262/2001/ScreenHunter_188 Feb. 15 01.59.jpg",1,None,10,Sun Feb 15 2015 11:00:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12520,/competitions/datasciencebowl,430th
/tnecpriv,formula to get probability,I know how to do image recognition and everything. I just don't know the formula to get the probability,-1,None,1,Sun Feb 15 2015 14:23:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12521,/competitions/datasciencebowl,None
/hrgiger,Does column order make is important in submission file?,"Hi all, As title says, is using different column orders makes difference? Burak",0,None,2,Sun Feb 15 2015 19:53:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12522,/competitions/datasciencebowl,653rd
/msegala,Unsupervised pre-training on testing set,"Has anyone had any luck with performing unsupervised pre-training on the testing set? I have tried using an denoising autoencoder and so far my performance has not improved at all, basically it did nothing. Just wondering if anyone has had any luck before I devote a bunch more time into this.",0,None,1,Sun Feb 15 2015 23:22:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12523,/competitions/datasciencebowl,93rd
/moritzschmid,software,"Hi, you say that using most open source software is not eligible, but what about commercial software? Sorry if I overlooked that and it is written somewhere. Thanks, Moritz",0,None,5,Sun Feb 15 2015 23:28:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12524,/competitions/datasciencebowl,618th
/aseem1,Artifact edge is all dots,"Hi, Artifact edge are images with dots. my algorithm doesnt understand how to learn them.",0,None,1,Mon Feb 16 2015 01:35:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12525,/competitions/datasciencebowl,797th
/xudongcao,Self training does not work?,"As the testing set is 4+ times larger than the training set, I tried to utilize the unlabeled testing set to help the performance. A straight forward and the most scalable approach is self-training. It is reported in some papers that self-training will help the performance when the training set is not sufficient large. I have tried several settings but none of them helped. I am not sure if this approach simply does not work, or I failed to find an appropriate way to make it work. The followings are some settings I have tried. 1. the way to assign pseudo labels to the testing data a. hard assign and add the top 20% high confidence samples into training set. b. hard assign and add the top 40% high confidence samples into training set. c. soft assign: randomly assign a label to a testing sample according its predicted softmax probs, for each sample I run such soft assign for 5 times. 2. the mixture ratio of true training data and pseudo training data. a. I did not carefully study this parameter, I simply set 1:1 ratio in all experiments.",4,bronze,10,Mon Feb 16 2015 04:54:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12526,/competitions/datasciencebowl,2nd
/genopharmix,Our text summarizer and keyword generator is available for use,Feel free to use it as we are involved with another competition. It's pretty nifty due to its ability to generate ranked keywords in addition to choosing the most relevant sentences. It's located here: http://genopharmix.com/TuataraSum/kaggle.html Cheers and may the best team win!,2,bronze,1,Mon Feb 16 2015 05:53:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12527,/competitions/sentiment-analysis-on-movie-reviews,None
/clydocat,Format of Submissions,"Can the predicted age be a floating point number, or does it have to be an integer? Does it matter which order the predictions are listed in?",0,None,1,Mon Feb 16 2015 05:56:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12528,/competitions/cme-250-class-prediction,59th
/adidua,Mapping scores/ratings to win probabilities,"What are some common techniques to map scores/ratings (e.g derived from regular season performance) to win probabilities? I thought of a couple simple ones: - Seed teams based on their ratings and the win probability is proportional to the difference in seeds - Create a 2-D histogram (based on historical data) of what happens when seed X plays seed Y, and use this for prediction. The resulting histogram tends to be sparse. Any other ideas people are willing to share?",0,None,1,Mon Feb 16 2015 06:38:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12530,/competitions/march-machine-learning-mania-2015,None
/saimadhu, I am getting 0.0 score.,"I used Random forest classifier model. i checked with train data i am getting nearly 0.99 accuracy, but when i apply the model to test data i am getting 0.0 i don't know what happening can any one help me. i think some think is going wrong while i am uploading my csv file. so can some once check this please. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64329/2002/prediction.csv",0,None,2,Mon Feb 16 2015 10:16:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12531,/competitions/forest-cover-type-prediction,1107th
/abhishek,How low can it go?,Any guesses?,1,bronze,9,Mon Feb 16 2015 18:20:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12533,/competitions/malware-classification,33rd
/saavyshopper,Any luck with time series?,"Has anyone had any luck with time-series approaches? I've tried using the first 19 day of the month for training but my best models score around 0.95 whereas using a GLM is scoring in the 50's. I am not sure why it is performing so poorly. However, my GLM model is sort of 'cheating' since I am using all of the data. I just wanted to see how good of a prediction was possible. Thanks.",0,None,2,Mon Feb 16 2015 20:54:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12534,/competitions/bike-sharing-demand,1953rd
/goldman88,"When we are dealing with ten functions in sapply ,Its showing me error","Below is the error:- k=data.frame(spdtime=0,spdmean=0,spdvar=0,spdmax=0,spdmin=0,spdsd=0,spd3=0,spd5=0,spdend5=0,spdend3=0,row.names=NULL) for(i in 1:length(keys)){ k[i,1:10]<-sapply(gspeed[i], funstofun(length, mean, var,max,min,sd, function(x) unlist(x)[3],function(x) unlist(x)[5], function(x) unlist(x)[ttime[i]-5], function(x) unlist(x)[ttime[i]-3] )) }k=data.frame(spdtime=0,spdmean=0,spdvar=0,spdmax=0,spdmin=0,spdsd=0,spd3=0,spd5=0,spdend5=0,spdend3=0,row.names=NULL) for(i in 1:length(keys)){ k[i,1:10]<-sapply(gspeed[i], funstofun(length, mean, var,max,min,sd, function(x) unlist(x)[3],function(x) unlist(x)[5], function(x) unlist(x)[ttime[i]-5], function(x) unlist(x)[ttime[i]-3] )) }",-3,None,7,Tue Feb 17 2015 05:51:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12535,/competitions/axa-driver-telematics-analysis,347th
/mattkarnick,Scoring Question,"Maybe I missed it in the scoring details but of the 2278 predictions made for each season's potential bracket matchups, submissions are only scored on those games that actually have/will take place, correct? Theoretically, if I overwrite all predictions for games that did not occur to 0 and resubmit, my score should not change? I would assume this is the only validation data.",0,None,2,Tue Feb 17 2015 15:05:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12536,/competitions/march-machine-learning-mania-2015,255th
/carloshuertas,Organizers: Validity of Train Labels,"I was wondering if I should take this sentence literally. From data description:""an integer representing one of 9 family names to which the malware may belong"" Is this the official class distribution?Virus 1 = 1541Virus 2 = 2478Virus 3 = 2942Virus 4 = 475Virus 5 = 42Virus 6 = 751Virus 7 = 398Virus 8 = 1228Virus 9 = 1013 Should I conclude that the train labels may (or may not) be 100% correct?",5,silver,3,Tue Feb 17 2015 17:24:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12537,/competitions/malware-classification,20th
/abhishek,Empty???,58kxhXouHzFd4g3rmInB is empty... => ?????,0,None,12,Tue Feb 17 2015 17:35:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12538,/competitions/malware-classification,33rd
/yankov,Vowpal Wabbit + oaa + logistic loss,"Decided to try out vw for the first time. How do you guys use multiclass classification with logistic loss? From old blog posts it seems that something like that would work: vw -d train.vw -b 30 --oaa 9 --loss_function logistic --passes 20 -f predictor.vw --link logistic vw -d test.vw -t -i predictor.vw -p predictions.txt -r raw_predictions.txt But that generates an empty raw_predictions file. If I remove logistic loss then it works fine, but of course giving me much worse score than if I'd done it with python. Do you calculate logistic loss manually from a raw_predictions.txt or there is some trick to do it with multiclass classification in vw?",0,None,3,Tue Feb 17 2015 18:18:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12540,/competitions/malware-classification,121st
/abstractdata,Faster download of dataset,To make it download faster you can do: [Link]:https://addons.mozilla.org/da/firefox/addon/downthemall/ a add-on for Firefox - 5MB/s _ my max Normal Google Chrome download got 1MB/s Please share your way of making it faster so we have options.,16,silver,44,Tue Feb 17 2015 21:25:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12542,/competitions/diabetic-retinopathy-detection,None
/alastairk,Could you please generate MD5 hashes for files,"We found these handy in other Kaggles when checking large downloads Thanks, Alastair",7,bronze,10,Tue Feb 17 2015 21:28:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12543,/competitions/diabetic-retinopathy-detection,None
/phillipadkins,Can't unzip data,I've downloaded train.zip.005 twice and have not been able to unzip it with either unzip or 7z. Suggestions?,8,bronze,31,Tue Feb 17 2015 22:05:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12545,/competitions/diabetic-retinopathy-detection,None
/matlab,Could you please post a single image,In order to scope out this project I would like to see an image to see what we are dealing with. I don't want to download the whole set just yet. Could you please post a single image.,0,None,7,Wed Feb 18 2015 01:41:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12546,/competitions/diabetic-retinopathy-detection,128th
/asimkievich,algorithm to spot curves,"hi there, entered pretty late to the competition. So far testing a couple of hypothesis on 5 drivers (created features to check average acceleration per trip, average decceleration per trip, average speed excluding stops, etc and then pretty much focus on mean and standard deviation among trips). If I extrapolate on the entire driver pool, I would score 0.70 - so quite unspectacular. I am thinking about extracting more sophisticated features, like average speed on straight roads, spead on curves, acceleration on curves and straight roads, so on and so forth. Problem is I am strugling with an algorithm to detect curves. In the end, delta in derivative (with respect to x and y) does not do a bad job. You need a delta treshold, and obviously, this method is not extremely accurate and whenever you see a number of significant intermitent deltas, you have to assume that the entire stretch is a curve. Problem is potential false positives (lane changes - which could be a feature of itself) sometimes come across as curves, so on and so forth. Also, there are a few false negatives (slight curves the alorithm does not catch). Any comments? Thanks!",0,None,5,Wed Feb 18 2015 02:05:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12547,/competitions/axa-driver-telematics-analysis,507th
/preeti,loops error,"for(i in 1:length(gspeed)) if ((length(gspeed[i])-5) < 0) q[i]<-sapply(return 0) q[i]<-sapply(gspeed[i],function(x) unlist(x)[length(x)-5]) I am getting only last value of loop",0,None,3,Wed Feb 18 2015 04:16:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12548,/competitions/axa-driver-telematics-analysis,347th
/taffeylewis,detailed results clarification: fgm/fga scope,"Are the fga/fgm columns counting *all* of the field goals regardless of 2- or 3-point shots (in which case the fga3/fgm3 are a subset), or only for the 2-pointers (in which case the fga3/gfm3 are independent counts)? I ask because last year, the source that I used counted all field goals regardless of point value in their version of fga/fgm, so I had to subtract out the 3-pointers in order to get the number of 2-pointers.",0,None,1,Wed Feb 18 2015 05:46:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12549,/competitions/march-machine-learning-mania-2015,128th
/impiyush,Looking for a Team,"Hi, I am sort of new to Kaggle, but have some experience working with Predictive Analysis using Python (sci-kit learn). I am looking to join a team so as to be more active on Kaggle and learn more out of it. Looking for a team which is also working on Python. Please reply. Thanks",0,None,38,Wed Feb 18 2015 07:15:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12550,/competitions/digit-recognizer,None
/damian4,OneClassSVM for Outlier Detection,"Hey, I am working with features like speed, acceleration, centripetal accelerations and power - summed up in 4 appropriate histograms for each ride. I am using histogram based kernels and put these into a OneClassSVM. But this gives me poor results. I guess reasons can be *features are sensitive to the kind of ride (long highway drive gives you different histogram) and this dominates over the driver characteristics *co-occurence of the features is important Anyone out here to discuss these issues and to eventually team up with?",1,bronze,5,Wed Feb 18 2015 10:51:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12552,/competitions/axa-driver-telematics-analysis,511th
/joexjmmvhm,Open source restriction,"Rather than trying to spend time figuring out what the open source restriction means, I will make it concrete. Is it okay to develop the algorithm using common python packages, and in particular SciKit Learn?",1,bronze,13,Wed Feb 18 2015 15:00:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12553,/competitions/diabetic-retinopathy-detection,440th
/marklondon,@Paulio - OMG,"One day at the top, and he comes in and knocks me right our of the field!",0,None,1,Wed Feb 18 2015 17:08:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12554,/competitions/bubi14,13th
/emolson,Hitting a wall with CNN,"Like many others, my approach so far is based on convolutional neural networks. I've been experimenting with a lot of different things in terms of architecture, data augmentation, preprocessing, and training methods, but in the end most of my attempts end up right around 0.90 LL and 71-74% accuracy (on a 10% validation set). I'm wondering if there is much more to be gained from these kinds of optimizations, or if getting further requires different techniques. Would anyone be willing to comment on whether they've trained individual CNNs that perform substantially better than this?",1,bronze,33,Wed Feb 18 2015 17:11:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12555,/competitions/datasciencebowl,27th
/abhishek,Beating the Benchmark ;),[RESERVED] [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64510/2004/benchmark.py,3,None,5,Wed Feb 18 2015 17:33:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12557,/competitions/diabetic-retinopathy-detection,248th
/del=520aa824df09e7b5,Quadratic weighted kappa,For those who are interested to know more about kappa...see links below http://en.wikipedia.org/wiki/Cohen's_kappa http://www.medcalc.org/manual/kappa.php http://vassarstats.net/kappa.html,13,silver,6,Wed Feb 18 2015 17:36:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12558,/competitions/diabetic-retinopathy-detection,648th
/mingtsai,Mutated Virus?,"Many viruses today will mutate as they infect/spread. Perhaps this is a question to Microsoft: Do we know if any of the virus provided in the dataset are mutated? thanks, Ming",0,None,1,Thu Feb 19 2015 02:47:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12561,/competitions/malware-classification,212th
/charlesroberson,Effect of playing styles on game outcome,"Playing styles are a contributing factor in predictions. A particular playing style can match up extremely well with another playing style despite the two teams relative strength. I've seen this in Football, Volleyball, Basketball and Chess. In the early 1980's was I hired by a College Football team to write a program that predicts the other team's offensive football plays. It worked amazingly well and was designed to take advantage of patterns and styles. So, things that effect playing styles or changes in playing styles can be an issue. One factor would be the already mentioned change of conferences. Also, there is changes is coaching staff. Change of head coach can make a difference.",0,None,3,Thu Feb 19 2015 04:43:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12564,/competitions/march-machine-learning-mania-2015,202nd
/tamoghnaroy,Some advice needed for clustering approach,"Hi Everyone, I am a total rookie and this is my first time attempting a competition in Kaggle. So please excuse me if the questions are too simple. My initial hunch on solving this problem is to treat as a unsupervized learning problem with 2 clusters for each driver based on some relevant features extracted. I am using features like average speed, average acceleration etc. on a small subset of the data ( I took 5 drivers). For each of the drivers I am getting around ~5% of the trips to be false. Is this anywhere in the ballpark? I will really appreciate some suggestion regarding validation methods. Thanks.",0,None,9,Thu Feb 19 2015 05:13:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12565,/competitions/axa-driver-telematics-analysis,None
/aguschin,"Фичи трейна, которых нет в тесте","Следующие фичи есть в трейне, но в тесте их нет : 'Clicks', 'Conversions', 'ConversionsManyPerClick', 'FirstPageCpc', 'Impressions', 'MaxCpc', 'QualityScore', 'TopOfPageCpc' Так и было задумано?",0,None,1,Thu Feb 19 2015 08:05:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12566,/competitions/a2,8th
/eelkespaak,How to choose validation set?,"Up until now, I'm basically setting aside a random 25% of training examples (same random pick each time) to function as a validation set. Since the classes are extremely unbalanced, I'm wondering whether this is the optimal strategy. Perhaps choosing a validation set such that the distribution is equal to the full training set (especially at least 1 example of each of the extremely infrequent classes?) would be wiser? Does anyone have an insight on this issue?",0,None,3,Thu Feb 19 2015 11:51:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12567,/competitions/datasciencebowl,175th
/launeric,3612 drivers ?,Hi I unzip the data and there are 3612 drivers. I recall I read somewhere there are 5000 drivers ? -rw-rw-r-- 1 ubuntu ubuntu 1548568330 Feb 21 09:13 drivers.zip,0,None,7,Sat Feb 21 2015 10:51:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12583,/competitions/axa-driver-telematics-analysis,1011th
/erengolge,How do you deal with the class unbalance for your CNN model?,"As I observed from the train data, there is a very large class unbalance as you can see (at least sense :) ) from the attached graph. Hence how would you deal such class distribution with Conv Neural Networks? Any ideas. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64722/2005/classes.png",0,None,5,Sat Feb 21 2015 23:46:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12585,/competitions/datasciencebowl,192nd
/dslate,Non-integer forecasts?,"Must all predictions be one of the integers 0, 1, 2, 3, or 4? This was not clear to me from the supplied documentation. Since the ratings are on a numeric scale, it could be plausible for predictions to take on non-integer values, e.g. 1.7, just as in some other contests with numeric outcomes. Thanks for clarifying this.",1,bronze,3,Sun Feb 22 2015 05:28:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12586,/competitions/diabetic-retinopathy-detection,75th
/athyssen,Manual vs Auto feature selection,"Is it a legal option to manually select features from the training data to be used as feature examples in a decision tree or other classifier? For instance, manually cropping out examples of fins, tentacles, etc. and using them as input to a classifier? Would this fall under the semi-supervised category? I'm uncertain as to how much of the classifier construction can be assembled by hand/coding vs algorithmically generated?",0,None,1,Sun Feb 22 2015 21:06:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12587,/competitions/datasciencebowl,547th
/vsu1664,LB paradoxes,"I found from the topic ""Q&A"" that the split of the test data into two parts: public (20%) and private (80%) was conducted at random (uniformly). I would be very interested to know how you will explain significant difference between public and private scores despite huge sample sizes? Definitely, results of the Avazu/Click Contest were not consistent.And, it is conclusion N1 - this problem is serious, but maybe overlooked. Particularly surprising is the fact that private scores are better compared to the public scores. From the point of view of the most basic statistical theory such phenomenon is totally impossible (assuming that the experiment was designed correctly). Conclusion N2:I know that such an opinion maybe very unpleasant for some Kagglers, but the whole Avazu/Click LB appears to be invalid (in scientific sense, of course). It is the main problem here - cannot be ignored. You are welcomed to post here valid scientific grounds or reasons to reverse two above conclusions.",3,None,2,Sun Feb 22 2015 22:16:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12588,/competitions/avazu-ctr-prediction,None
/mariopasquato,Basic visualisation tool in R,"For those who are interested, basic plotting of trips and drivers: http://github.com/mariopasquato/kaggledriversvisual Give me some feedback if you like.",2,bronze,3,Mon Feb 23 2015 03:50:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12589,/competitions/axa-driver-telematics-analysis,511th
/dmenin,Improving my model,"Hi guys, I seem to be stuck on my analysis so I’d like a few hits on what I’m doing wrong and what I can improve (this is my first kaggle competition). First of all, I use the regular_season file to build a data set that has metrics about all the season\teams. It has one row per season\team and looks something like this (also attached as team.png): Season, team, numWins, numLosses, gamesPlayed, totalWinPct"", RPIA, off, deff season team numWins numLosses gamesPLayed totalWinPct RPI off def1 2011 1101 0 0 0 0.000 0.0000000 0.0000000 0.00000002 2011 1102 14 14 28 0.500 0.5339502 -0.2678571 0.26785713 2011 1103 22 12 34 0.647 0.5345151 2.3598616 -1.28719724 2011 1104 21 11 32 0.656 0.5545453 4.8603516 -2.54589845 2011 1105 10 15 25 0.400 0.4118893 -1.3760000 2.06400006 2011 1106 15 17 32 0.469 0.4409289 -1.3476562 1.5273438(off = offense power, deff=deffense power) Then, to build my train data, I transform the the regular_season file that has ”season + wteam + lteam” into season + teamA + teamB + win (teamA always being < than teamB and Win = 1 if teamA won and 0 otherwise) and I merge this data set with the teams data set above twice, one on teamA and once on teamB, so the result looks like this: ""season"" ""teamB"" ""teamA"" ""Win"" ""homeWin"" ""numWinsA"" ""numLossesA"" ""gamesPlayedA"", ""totalWinPctA"" ""RPIA"" ""offA"" ""deffA"" ""numWinsB"" ""numLossesB"" ""gamesPlayedB"" ""totalWinPctB"" ""RPIB"" ""offB"" ""deffB"" To build my testmodel, I get the sample_submision file, make it on the same format (season + teamA + teamB), and also merge it with the team data set twice so the result is the same as above except it doesn’t have the “Win” column. Last step I try to fit a prediction model on train: set.seed(123)fitforest <- randomForest(Win ~ <feature here>, data=train, ntree=50)predForest <-predict(fitforest, test) and run the LogLoss function to see how good the model is (The “LogLoss” result is pretty close to what I get if I submit my probabilities): LogLoss(test$Win, predForest) But no matter what regression algorithm I use or which predictors I use, I can get a better score than 0.64 so my question is: where should I focus? First of all, and my main question: is the method I chose correct – does what I’m doing makes sense??Should I have better predictors? Or this score is the best I can get with this data and I need more external data. Any help is much appreciated.Thanks very much [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64766/2006/team.png",0,None,3,Mon Feb 23 2015 17:19:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12590,/competitions/march-machine-learning-mania-2015,228th
/nitini,Feedback after Competition Ends,"Hi, I had a question for the competition/kaggle admins. I am doing this competition as part of an undergraduate independent study course that runs the length of my semester (till end of April). The competition here however ends in about 3 weeks. I've been working hard but know there are still many things I would like to try and test out just to learn more about ML. So my question is: After the competition is closed, is there anyway I could still submit and see how my algorithm is doing (in terms of loss rate on public test set)? Would it at all be possible for the public test set to be released so that I could continue to work on this on my own and see how much more I could improve. I really would like to not be time constrained for the purposes of my course for just the next two weeks? Any information regarding this would be greatly appreciated! Thanks, Nitin",0,None,1,Mon Feb 23 2015 19:05:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12593,/competitions/datasciencebowl,905th
/neuralnetworks,Team Ranked #25 on LB Looking for New Member,"Hi all, we have a team of 3 people looking to add another member to our team. We are of the mindset that we can collectively do much better by adding another member with a different background to our team. If you are interested just let me know. Thanks",0,None,9,Mon Feb 23 2015 19:32:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12594,/competitions/datasciencebowl,23rd
/ervd299626,sentiment analysis dataset,Hi as a part of my semester project I am doing sentiment analysis to predict stock behavior. So far I have not been able to find any Finance news dataset to base my research work on. Can anyone please share relevant links. Thank You,0,None,2,Mon Feb 23 2015 19:47:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12595,None,None
/robertfontaine,Data Representation... another naive question.,Been trying to make this really simple for myself and ignore the size of the data.... A Simple Feature: Unique string signatures 256 possible character in a byte :) x xx xxx xxxx xxxxx 1) Each file uniquely represents itself with a series of bytes the length of the file. 2) Within the set that is all the files there are N sets of unique ordered byte strings (ignoring location for a moment) This set could be represented as a really really really big matrix whose location represents the byte string and hypothesis = number of times it occurs in the file / number of times it occurs in the set. ----- Matrix 2: relative location of unique strings: there is another insanely big Matrix that could represent relative locations of the unique strings in the byte files. (not exactly sure how this could be applied in the real world but it would be meaningful within the data set. ---- ordered sets and location interact with each other in even bigger permutations --- Training data could be averaged out to establish the hypothesis for each category: A*b = C Then with an infinite amount of compute time we could solve the equation via normalization OR given the things so darn big I could use some kind of learning algorithm to approximate a solution. Ignoring the details.. of mind numbing size and dimensionality of the matrices am I starting to think about this the right way? My head hurts. ... Edit... Some kind of sparse matrix to get rid of the huge number of zeros.... .,0,None,4,Mon Feb 23 2015 20:19:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12596,/competitions/malware-classification,None
/skylibrary,differences between real-time augmentation and preprocess augmentation,"I saw a lot of people doing realtime augmentation, I am just wondering if there is other benefits of doing it besides saving disk space. From my understanding, for realtime augmentation, people randomly augment image at runtime, so at each iteration, the learning algorithm will learn from the augmented image. However, if at preprocessing stage, I generate enough augmented images, say for each image, I generate 2000 augmented ones, shuffle them and save them all to disk. Performance wise, is it going to be different compare to realtime augmentation.",4,bronze,7,Mon Feb 23 2015 22:04:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12597,/competitions/datasciencebowl,36th
/victordremov,Лишний интервал ЭКГ,"Для каждого больного дано 600 амплитуд пиков ЭКГ. Между этими пиками 599 интервалов, однако реально в датасете их 600. Возникает вопрос, какой из крайних интервалов лишний? Или другими словами --- является ли интервал T_n временем между пиками n и n+1 --- или же между пиками n и n-1? Если нумерация совпадает со слайдами к первой лекции, то получается, что лишний интервал - последний, однако хотелось бы получить комментарий от организаторов.",5,bronze,1,Mon Feb 23 2015 22:51:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12598,/competitions/competition-1-yandex-shad-mipt-fivt-ml-autumn-20142,104th
/dulyanov,Train on whole dataset after CV ? ,"Let's say I divided my train set into train and validation. Then I fit a classifier on train, validate on validation set. So what's next ? Do you, guys, use this classifier as is, or you retrain it on the whole train set (train + val) and use this one as your final classifier ? I use about 15% of data as validation, but in this task with highly unbalanced classes 15% contains a lot of important information I assume. After I fit a CNN on 85% data how should I fit the whole dataset ? Considering my experience I need to lower the regularization, but still have no rule of thumb how to do it. Probably another solution is to divide train set in another way, fit same classifier and blend it with the one which was fit on the first split. It will be great if someone shared his strategy about that.",1,None,4,Mon Feb 23 2015 23:58:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12599,/competitions/datasciencebowl,46th
/aseem1,Does image order matter,my algorithm only predicts 120898 images. I have correctly provided names of those images and their probability for every class. But i cant do submission unless the excel file has all images. So M planning on appending names of other images at the bottom and assigning some random probability. Would that work? Is there any other way. can i just give random 200 images names just to make a total of 130400 images. thanks,0,None,4,Tue Feb 24 2015 18:56:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12601,/competitions/datasciencebowl,797th
/devinanzelmo,Inter subject AUC,There was a large difference between the mean of individual subjects AUC's and the group AUC. My model from a month ago had ~.80 mean AUC and the group AUC was ~.74. I added the number of errors detected for each subject from the leaked labels as a feature and this increased my group AUC to .8.(the labels themselves only helped by 0.001) At the end I added positive label counts from my classifier as well and this pushed my group AUC over .82 on CV. The mean AUC stayed the same for all the different models. Does anyone have an explanation for why this is happening? It was surprising to see.,1,bronze,13,Wed Feb 25 2015 01:17:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12603,/competitions/inria-bci-challenge,2nd
/triskelion,Congratulations to the winners and top entries!,"Congratulations to the winners, top entries and new Master Kagglers! What was everyone's approach?",4,bronze,23,Wed Feb 25 2015 01:25:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12604,/competitions/inria-bci-challenge,57th
/protean,Multiple Models,"Hi guys, I would like to know a little bit more about how to approach this problem. Do you normally extract some features from the given data to obtain the dataset and then compute a 2D representation of two features. This gives us the limitation of only two features actually being relevant in the data representation. Regardless of the statement above, do you determine the values of certain extracted features and split the data accordingly and then use multiple classification models in order to classify samples. This means that based on some criteria, you split the dataset into two parts and send the first part to first classifier model and the second part to second classifier model? If you can tell me more about it, I would be forever grateful. Thank you",0,None,7,Wed Feb 25 2015 02:38:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12605,/competitions/malware-classification,188th
/abhijeetsrivastava1,Suggest an easy level/start level competition,I am new to machine learning. Can someone suggest me a topic/competition which is pretty low level. I have been in ML from past 1-2 months only. I dont see difficulty levels in kaggle competitions. A little help from you fellows would be great. Thanks,19,None,7,Wed Feb 25 2015 06:52:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12606,None,None
/derekzh,Parallel processing for Python,"Hello Kagglers, It seems that this competition is well-suited for parallel processing, as one has to run training for each driver. So it is a great opportunity to learn this technique. I was wondering if fellow kagglers would provide ideas on your favorite package/approach for Python parallel processing. The joblib package that saihttam shared is great (thank you saihttam), and any other ideas and information would be much appreciated. Thanks! DerekZH",0,None,13,Wed Feb 25 2015 08:45:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12607,/competitions/axa-driver-telematics-analysis,362nd
/adjgiulio,What was your favorite 2014 competition?,"You decide what favorite means (most fun, most challenging, you learned the most,...). I really enjoyed KDD. There was so much to try, lots of room for creativity, and it felt like it was anybody's game till the end. The data was much more complex than your usual Kaggle dataset, and the way the LB was split made that a challenge in itself. For some reason I also really enjoyed Loan Default, regardless of or maybe because of, all the leaking going on. The leakage made it a crazy race to who could find the next golden feature or exploit other weaknesses of the data. From a business perspective it was probably a waste of the sponsor's time and money, but from a scientist perspective it was a fun puzzle. What do you think?",1,bronze,7,Wed Feb 25 2015 17:40:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12610,None,None
/lucas1552,Methodological ML dispute with a Udacity teacher: Could you help me understanding if I’m right?,"EDIT: Supershort version for those who want to help but don’t have time to read through the whole issue: Isn’t it always wrong, beyond any circumstantial objection, in supervised classification, to use the entire dataset’s target variable labels to construct new features split the same dataset into training, validation and testing and once you’ve tuned your algorithm using the above training data to test it on previuosly selected testing set (that will inevitably be composed of cases you already ‘used’ to build the aforementioned feature) Are there some field or industries where such a behavior can be allowed? long version: Hi all you people out there! This is a long one, hope someone will have time to help. I’m a self learner and I dealt with data for quite a long time, I recently enrolled at Udacity’s ‘Data Science Nanodegree’ because I thought It was a good way to switch from Matlab (my whole experience is in Matlab) to Python while practicing some ML. I’d like to stress out that the course is priced 200 dollars a month and is self paced with a duration spanning from 6 to 12 months, it’s not a free one. When it came to the ML course I raised an issue over what I considered a quite serious methodological mistake. It took a while to get an answer from the instructor and I think it has been superficial, a bit arrogant and most of all wrong. I thought Kaggle could be the place where I could have a second opinion over the matter by the brightest and the smartest, that’s why I’m asking for a bit of your time and for your opinion (once I attended a master in AI but my professor refused to comment on this because ‘this issue has a far too large context’…) I only have you guys!Context: During the course a database is introduced, it has been derived from the public Enron database released after the Enron collapse scandal in the early 2000s. The ML purpose is to identify persons of interest (POIs) out of a dataset of 146 executives at Enron. A person of interest is defined as a person who has been indicted for fraud, settled with the government, or testified in exchange for immunity.The dataset has been created by the teachers merging information from the public Enron email database (email features) and some public financial information (financial features) regarding the executives. Each data point has 14 financial features (salary, stock ownership, bonus etc…) and 5 email features, among which the number of emails sent, received and shared with a POI. Those last 3 features are computed on the entire dataset, so to determine how many emails Mr. X sent to a POI they are using all the POIs in the dataset when flagging and counting emails. My objection: I argued that it is methodologically not correct beyond any circumstantial objection to engineer the email features: ‘number of emails from POI’, ‘number of emails to POI’, ‘number of emails shared with POI’ on the whole dataset and setting that as a static attribute like ’salary’ or ‘bonus’ for each data point. They are then feeding that very same dataset to a ML process to be split into train, cross validation, and testing to learn a classifier. In my objection I argued that, because of my experience is in financial time series, I have a special attention for test set peeking (you don’t want to do that there) and I believed they have been doing that here. This feature engineering process seemed wrong to me because they were using the labels of the whole dataset to construct the email features I questioned, and subsequently they where dividing the same data into training and testing set. By doing so they were allowing information to percolate from the test set to the training set because the features had been previously computed on the whole data. The correct procedure would have been to re-compute the number of emails sent, received and shared with a POI only on the training set (in case of cross-validation each time a train set is computed) without including the email exchanged with the POIs in the test set because, methodologically, we are supposed to ignore those labels and we don’t know who is a POI in the test setOnly when I posted this on the public forum I got a public answer from the course teacher stating that this methodology was not wrong, because unlike in financial time series there is no future in this dataset (!!!) and other senseless words that I found offensive and disappointing in that she didn’t want to recognize her mistake and take the didactical responsibility of her content. Here is her sentence on this: * (The whole answer below): ‘It’s true that in financial times series, one must be very careful to keep training and validation data separate, because you don’t have the future available when making a prediction. However, rules like that aren’t universal—for example, in speech recognition, the future is used to predict the past, and it’s the industry standard to run data backwards as well as forwards through the algorithm. My point isn’t to debate the subtleties of training/testing splits, but to emphasize that the importance of the issue is kind of a case-by-case thing.’ I think she really didn’t get the point and no, train test split is not a ‘subtlety’, it’s a core issue, it’s not debatable and it’s not a ‘case by case thing’. So I’m asking you guys out there:Isn’t it always wrong, beyond any circumstantial objection, in every field of machine learning, to use the entire dataset’s target variable labels to construct features, and then split the same set into training, validation and testing set and, once you’ve tuned your algorithm using that training data, test it on a test set which labels you already used in building your features? Are there some field or industries where such a behavior can be allowed? Is this professional and adequate teaching? *Instructor’s answer:“Interesting question, thanks for asking. I don’t agree that these variables are a huge problem, for two reasons: one theoretical and one practical.Theoretically speaking, I suspect your strong opinions on time series data and the importance of strict segregation between training and testing derives a lot from your background in finance. It’s true that in financial times series, one must be very careful to keep training and validation data separate, because you don’t have the future available when making a prediction. However, rules like that aren’t universal—for example, in speech recognition, the future is used to predict the past, and it’s the industry standard to run data backwards as well as forwards through the algorithm. My point isn’t to debate the subtleties of training/testing splits, but to emphasize that the importance of the issue is kind of a case-by-case thing.So then, let’s look at this case with a practical outlook. What this feature asks is whether an individual exchanges lots of emails with POIs, with the hypothesis being that maybe there are stronger lines of communication amongst POIs than between POIs and non-POIs. Here’s a practical example: most of the top brass of the Enron broadband division ended up indicted, and I would bet they exchanged a lot of emails with each other too. Let’s imagine that 5 of them end up in the training set, and 1 in the test set. Do I really (practically speaking) want to disregard the fact that Mr. Test Set was exchanging tons of emails with five folks in the middle of the scandal? I’d argue that, theory aside, this is potentially interesting information and that there’s no way I’d be able to take advantage of it if I only allowed Mr. Test Set’s email features to reflect his correspondence with other test set people. Computationally it would be simple enough to do that, but if someone came to me with that strategy, I would suggest that they had solved an O(1%) problem while introducing an O(100%) sub-optimality.Of course, these features were computed using a completely public dataset, so anyone can always re-compute them using whatever prescription they like. So it’s an interesting set of things to ponder, and it’s certainly worth thinking through these issues carefully for oneself, but overall I stand behind these features as worth thinking about, computing, and examining for their power in the final project.”",0,None,16,Thu Feb 26 2015 00:11:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12611,None,None
/aizvorski,Outliers and expert ratings,"Are the human ratings based on a human rating the image, or a human rating the patient? (for example during an exam where a doctor can look around, and also takes a picture along the way) Could you provide some cross-validation data from multiple human expert ratings of the images only? I mention this because of of some images in the training set like: 679_right, 21345_left. These are both rated as... 2, apparently. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64895/2011/679_right.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/64895/2012/21345_left.jpeg",5,silver,6,Thu Feb 26 2015 00:12:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12612,/competitions/diabetic-retinopathy-detection,18th
/wendykan,Cheaters removed,We have just removed some cheaters. The results on the leaderboard is now final. Big congratulations to the winners! The competition hosts will be in touch with the ones interested in the conference soon.,4,bronze,39,Thu Feb 26 2015 01:51:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12613,/competitions/inria-bci-challenge,146th
/philippkostuch,Confirming True Trues and backing out total False count - am I cheating?,"Given the evaluation function it seems to be possible to use tactical submissions to Confirm that trips on which I'm pretty certain that they are true are indeed true (or at least get an idea for a given batch of say 1% of total trips how clean they are in terms of containing only true Trues) - I can then lock them away and need not worry about them ever again...basically, reducing the size of my problem bit by bit Even worse, with a small set (should be at least 1% of total given the number of digits the evaluation engine reports) of trips I'm totally sure are True I can (I think) back-out with high confidence the total count of trips that are false - given that this is not public knowledge, such a data point seems quite valuable when using any approach that is sensitive to specifying a prior distribution All of this would not matter much in general because if you could isolate a subset of true Trues you'd have a good algorithm and be due all the benefits you can get. It's just that on this data, you can get a sizeable set of True Trues simply from trip matching...without learning anything about outlier detection. So, my question is: are tactical submission made solely with either of these goals in mind....gaming...cheating...or perfectly fine?",0,None,5,Thu Feb 26 2015 08:40:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12614,/competitions/axa-driver-telematics-analysis,52nd
/stevendu,About the file size,"Hi, all Normally we can found that asm file size > bytes file. Anyone know why the following asm file size < bytes file? External lib included? ./train/BFmbPXnMtl9oVyI1SYvT.asm 18.4KB./train/BFmbPXnMtl9oVyI1SYvT.bytes 1.3MB",0,None,1,Thu Feb 26 2015 10:19:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12615,/competitions/malware-classification,151st
/guyko81,graph theory as an image feature,"I am not in this competition yet (and I'm afraid I won't), so I would like to share my idea of such an image processing technique - or just a feature. Looking at these images one can realize, that these animals are just like graphs, and has some very interesting features in it. For example a round with 4 ""roads"" into it. I'm wondering about a solution that could standardize these pictures: 1. adjacency matrix (based on the edges of images as the vertex of the graph, and the neighbourhood as the edge of the graph) and computing the features, like number of triangles, etc. 2. edge distribution in categories 3. Canonical form of the graph to simply check the similarity There are some other graph similarity projects, which may also help in categorization. You know I hope that understanding the problem sometimes gives a stronger solution than a simple brute force :) So please someone try this out for me, because I won't have time for it, but I'm keen to know the effectiveness. So a response about the improvement would be nice too :D some useful links: http://politespider.com/papers/general/Graph%20similarity%20algorithms.pdfhttps://www.cs.cmu.edu/~jingx/docs/DBreport.pdfhttps://wadsashika.wordpress.com/2014/09/19/measuring-graph-similarity-using-neighbor-matching/http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=2761&context=cstechhttp://i11www.iti.uni-karlsruhe.de/_media/projects/spp1126/files/bl-ssg-04.pdf",-5,None,2,Thu Feb 26 2015 11:53:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12616,/competitions/datasciencebowl,None
/del=2130ed41f43da0f8,What is the driver's fingerprint? Asking the correct question...,"Hi Kagglers, I'd love to hear your views on this topic. Let me set it out clearly... The goal of the sponsor of the competition is to measure the driver fingerprint. I guess it will be used by a telematics device installed in the car for identifying who is driving according to a certain driving style. And perhaps give a grade to the driving stile. I can see that many of the techniques mentioned in the forum involve matching similar trips, looking at the distance driven, randomly sampling trips from other drivers, number of stops, etc. I believe that all such features don't tell much about driving style and are not practical in the context of telematics devices installed in the car. For example it can be argued that the number of stops depend by the geographic features of a certain road and on traffic conditions rather then the driving style. Also, randomly sampling other drivers' trips is not practical if real-time scoring must happen in a telematics box installed in the car. However, being able to identify common features of trips and matching similar trips help a lot in identifying true trips and false trips, so I'm wondering whether the setup of the competitions is ending up to be misaligned with the true question asked by the sponsor: can one identify the driver fingerprint? I think that most of the features tell more about the trip, the geospatial and traffic conditions rather than what type of driver is driving. From these considerations come my question: what is the driver fingerprint? Is it driving style or what are the most common trips or a combination of the two? What do you think?",2,bronze,8,Thu Feb 26 2015 12:04:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12617,/competitions/axa-driver-telematics-analysis,862nd
/athap270315,sudo pip install BeautifulSoup4,"In the tutorial, using sudo to install a package is not a good idea as people might run into permission issues while trying to access/load the package.I think pip install BeautifulSoup4 should work just fine",1,None,1,Thu Feb 26 2015 14:37:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12618,/competitions/word2vec-nlp-tutorial,None
/del=9b61b24db495869e,[Python] Issue reading in train.csv,"Hi, We are having an issue reading in the train.csv in python. This all works perfectly fine: ----------------------------------------------------------------------------------------------------- import csv as csv import numpy as np csv_file_object = csv.reader(open('../csv/train.csv', 'rb')) header = csv_file_object.next() data=[] for row in csv_file_object: data.append(row) data = np.array(data) ----------------------------------------------------------------------------------------------------- Print data[0] also works and returns: ['1,0,3,""Braund, Mr. Owen Harris"",male,22,1,0,A/5 21171,7.25,,S'] However this output is different compared to the Kaggle example: ['1' '0' '3' 'Braund, Mr. Owen Harris' 'male' '22' '1' '0' 'A/5 21171' '7.25' '' 'S'] Also, print data [0,3] does not work. It gives the following error: IndexError: index 3 is out of bounds for axis 1 with size 1 Who can help us out? Thanks in advance",0,None,10,Thu Feb 26 2015 16:05:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12619,/competitions/titanic,None
/wikunia,Cabin map,I think it might be interesting whether there is a difference between persons who has a cabine on the bow side or on the port side. Maybe you would like to have a map of the cabins and test your own hypothesis: http://www.encyclopedia-titanica.org/titanic-deckplans/c-deck.html,5,bronze,4,Thu Feb 26 2015 16:58:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12621,/competitions/titanic,None
/christopherrisi,Looking For Team to Compare Results for Errors,"Hi Kagglers, I've put in a lot of work producing trip features and I am just starting out on the analysis now, just wondering if anyone is comparing a subset of their metrics in order to have some confidence in the results they produced in order to check for bugs? If you've made a mistake somewhere this would be the easiest way to find it I think! Let me know, I'm also willing to share my code. Christopher",0,None,2,Thu Feb 26 2015 17:10:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12622,/competitions/axa-driver-telematics-analysis,None
/moritzschmid,pixel size,"Hi, What about pixel size? I can't find information on that. Would be beneficial to know how much each pizel is in um. Does anybody know about that? Best, Moritz",0,None,2,Thu Feb 26 2015 19:31:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12623,/competitions/datasciencebowl,618th
/vishalsharma,Viewing winner's code like in Topcoder,Don't you think it would be nice if submissions of other coders could be visible from the leaderboard instead of waiting for their posts in the forum of their github links? It can help newcomers to gain knowledge instead of beating their heads googling here and there.,2,None,4,Thu Feb 26 2015 21:13:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12624,None,None
/zachmayer,Simulating the tournament,"I'd really love to make an entry into my family's march madness pool using the results of my model for this Kaggle competition. I was thinking of using the following process: 1. Use my predicted probabilities for each matchup to simulate the whole tournament a few tens of thousands of times. 2. Compute the probabilities that each team makes to to: win/final game/final four/final 8/final 16/round 2 3. Use these probabilities to fill in the bracket, starting with the most likely winner, then the most likely final 2, then the most likely final 4, etc. (Most pool require the winner of the tournament to also be entered as the winner of each prior game). I was thinking it'd be really fun to make an R script or python that would convert your kaggle competition submission into a tournament bracket. This would be completely besides the point for the kaggle competition, but I think it'd be really fun. I was wondering if anyone else had tried working on this and had some code they could share, or would be interested in collaborating? For starters, I need to figure out a data structure to represent the tournament for the purposes of simulation... Thanks!",6,bronze,4,Fri Feb 27 2015 16:10:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12627,/competitions/march-machine-learning-mania-2015,118th
/cmadan,Publishing method in academic journal,"After the competition has concluded, are we allowed to publish our final method in an academic journal?",16,gold,1,Fri Feb 27 2015 16:39:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12628,/competitions/diabetic-retinopathy-detection,None
/hrgiger,Another prediction application,"Dear Kagglers, Since I couldnt team up I think it is better to share software I have been working on. It is result of my Andrew NG coursera study. Works guite fast for small-middle size datasets. It is using batch gradient with Neural Networks, during my study I have also implemented Fmincg octave code in c++. Simply it runs a training session and it saves calculated weights on file system. You can set many parameters you want including loading previously saves weights. It has also multicore support. I couldnt get results I want since I couldnt handle my models well I think. As there is other or better alternatives this application maybe can help someone at some point. It should run mac or any linux distro without problem. There is no windows version yet. Since ML is not my main area I would also appreciate your feedbacks. Please find below github link, I believe instructions should be enough: https://github.com/buraksarac/NeuralNetwork Thank you Best Regards Burak",0,None,2,Fri Feb 27 2015 17:22:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12629,/competitions/datasciencebowl,653rd
/justmarkham,Table comparing supervised learning algorithms,"Hi all, For a data science course I teach, I created a table [Link]:http://www.dataschool.io/comparing-supervised-learning-algorithms/ as a review activity. Here are the algorithms: K-nearest neighbors (KNN) Linear regression Logistic regression Naive Bayes Decision trees Random Forests AdaBoost Neural networks Here are the dimensions for comparison: Problem type (classification/regression) Results interpretable by you? Easy to explain algorithm to others? Average predictive accuracy Training speed Prediction speed Amount of parameter tuning needed (excluding feature selection) Performs well with small number of observations? Handles lots of irrelevant features well (separates signal from noise)? Automatically learns feature interactions? Gives calibrated probabilities of class membership? Parametric? Features might need scaling? I'd love to hear your comments, corrections, and additions... thanks! Kevin",13,bronze,8,Fri Feb 27 2015 17:30:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12630,None,None
/riemann2,Données test non mélangées,"Bonsoir, Les données test étaient dans la même configuration que les données d'entraînements (la bulle cliquée en première position), ce qui permet de trouver directement les labels. J'ai malgré tout fait la soumission par simple vérification. Bonne soirée/journée.",0,None,1,Fri Feb 27 2015 21:42:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12631,/competitions/click-prediction,2nd
/srt19170,You Won't Believe These Five Common Kaggler Mistakes!,(That's my hopefully humorous attempt at a [Link]:http://community.usvsth3m.com/generator/clickbait-headline-generator#.) I've written a [Link]:http://netprophetblog.blogspot.com/2015/02/five-small-thoughts-for-kaggle.html on five common mistakes that you should avoid in this competition. Please use the generous white space below to explain just how wrong I am. :-),5,silver,18,Fri Feb 27 2015 22:07:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12632,/competitions/march-machine-learning-mania-2015,42nd
/ramialfahham,Zero-inflated Count Data Model with a score below 0.5,"After quickly checking the data I decided to play around with the following approach: - Zero-inflated Count Data Model- use splines (smoothing) for continious predictors- use year, month, wday, hour as factors- use interaction variables I was able to improve my prediction score slightly below 0.5. However, my code / modeling approach is really intensive from a computational perspective. [Link]:https://github.com/ramialfahham/bike-sharing-demand",0,None,1,Fri Feb 27 2015 23:12:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12633,/competitions/bike-sharing-demand,791st
/maineiac,Can someone explain what batch size is doing in convolutional NNs?,"I've noticed that the performance of my models vary quite a bit as a function of the batch size, both in terms of the time to converge and (possibly) the amount of overfitting.I thought batch size was simply controlling the number of images sent to the gpu / cpu at any given time, but I can't match that up with this behavior. Can someone explain what batch size controls in the model? Why the variation in performance? Any good resources? Sorry for the naive question. This is my first time using these sorts of models, and in the background reading I've done, I've still not fully grasped what this parameter is doing.",1,None,8,Sat Feb 28 2015 03:52:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12634,/competitions/datasciencebowl,89th
/tangy1994,Learning from this competition,"Hi guys, It was a great experience participating in this competition, and surely a lot to learn reading through the forum-posts. Considering it was my first participation, it was a bit disappointing in the end to see a drop of 111 in my leader board score. Thus, I would appreciate certain insights as to how I should approach future competitions by pointing out errors I made in the current one. My approach was(in python): Extracting Epochs of raw data as given by phalaris's benchmark code Channel Selection - I found channel 46 to give the best boost in cross validation. Any other individual or combination of channels were detrimental Applying a Butterworth Filter with cutoff of 0.1 to 15 Hz and order 6.I tested a combination of features Time Series Hjorth Params FFT Time Series Differential Subject and Trial related Info Skewness/Kurtosis and basic statistical features Wavelet Transform EOG values during trial-downsampled Finally I found that using Time Series, Subject Trial and EOG info gave best cross validation results4. Classifiers: I tried RFs,GBM,LDA,SVMs. Found GBM to give best values CV method : I had posted a question about the same and according to the responses followed Leave One Subject Out CV over the training subjects However my model quite obviously badly overfit the data. I am still unable to understand where exactly my method failed? Any other suggestions as to how I should approach future competitions?",0,None,5,Sat Feb 28 2015 05:38:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12635,/competitions/inria-bci-challenge,128th
/shubhamtomar,Python - Scikit-learn based Random Forest. (score - 0.40757),"Hi Fellow Kagglers, I wrote this tutorial using Scikit-learn's Random Forest regressor. I would like you to go through this and suggest some improvements. [Link]:http://shubhamtomar.me/2015/02/25/Bike-Sharing-Demand/ Thanks, Shubham",5,bronze,8,Sat Feb 28 2015 12:41:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12636,/competitions/bike-sharing-demand,299th
/pauldi,Can we get full test sets after expiration of competition?,subject in theme,1,bronze,1,Sat Feb 28 2015 15:09:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12637,/competitions/datasciencebowl,None
/emolson,Looking to join with someone in top 60,"Currently ranked #37 (0.705 public LB). My approach is mainly CNN using python (theano + lasagne), with a few others blended in as well. I've come up with one somewhat unorthodox method which appears to be helpful, but I have a feeling my limited experience designing and training CNN is a limiting factor. If you've been able to get a CNN to <0.85 val loss (pre ensembling), then I think there's a decent chance we could help each other move up. PM me if you're interested and we can discuss more. P.S. I'd also like to work with someone on the Diabetic Retinopathy challenge after this competition is over, if you're interested in that as well this could be an opportunity to see if we work well together.",0,None,2,Sat Feb 28 2015 16:06:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12638,/competitions/datasciencebowl,27th
/boazarad,Similar images rated differently,"While I'm far from an expert in diagnosing diabetic retinopathy, I've read up a bit and rellevant studied medical diagrams. To my untrained eye, both these images seem to feature Exudates on a similar scale, though 1199_left is rated ""0"" and 1196_right is rated ""3"". I can't seem to find any abnormalities in 1196 that are not present at a similar scale in 1199 - what am I missing? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65146/2020/1199_left.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65146/2021/1196_left.jpeg",2,bronze,9,Sat Feb 28 2015 20:38:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12639,/competitions/diabetic-retinopathy-detection,None
/samkeene,How will student teams be verified?,"Hi, I teach Data Science and machine learning to undergraduates. I know of a handful of my undergraduates who are competing in this competition. We can't seem to find any way to 'register' or denote the teams as undergraduate teams. Is there some way to do this? On the chance one of my teams is the top undergrad team in US, I don't want to miss out on the prize and recognition because they didn't properly declare themselves and undergraduate team. Am I missing something? Is there a way to register as an undergrad team, or it will be verified after the competition ends somehow? thanks, -Sam",1,bronze,3,Sun Mar 01 2015 03:00:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12641,/competitions/datasciencebowl,None
/paddywhacker,Zdr is binned,Has everybody noticed that the Zdr values are grouped into bins approximately 0.0625 apart? https://imgur.com/NQWFOov,1,bronze,1,Sun Mar 01 2015 04:53:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12642,/competitions/how-much-did-it-rain,None
/goldman88,R doesn't detect NAs + glm() not working on R tool,"mydata <- read.csv(""C:/Users/jsparrow/Desktop/model.csv"") table(is.na(mydata)) log<-glm(flag~.,data=mydata,family='binomial') Error in glm.fit(x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, : NA/NaN/Inf in 'x'",-5,None,1,Sun Mar 01 2015 04:57:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12643,/competitions/axa-driver-telematics-analysis,347th
/dulyanov,Code for parallel feature extraction without unzipping the data,"Hello, I've written a sample code in Python how to traverse .7z archive in parallel and extract byte counts. You will need [Link]:https://github.com/libarchive/libarchive, compile it from source, do not use the version from ubuntu repo. And then install [Link]:https://pypi.python.org/pypi/libarchive/0.4.3 and you are done if you use Anaconda. Hope it will help you to get to the top :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65172/2022/extract_feats.py",13,silver,9,Sun Mar 01 2015 09:46:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12644,/competitions/malware-classification,3rd
/domcastro,Leaderboard Slide of Shame,"Hi, Sorry to cause you extra work, but I accidentally introduced leakage into my model during feature selection. Please can you delete my last 3 submissions - all_sub_v14.csv, all_sub_v13.csv, all_sub_v10.csv.",0,None,1,Sun Mar 01 2015 12:26:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12645,/competitions/march-machine-learning-mania-2015,8th
/kameshvenkata,Fresher Requirement understanding not clear,"I am fresher to this Data Science altogether and when exploring this topic, I just got a doubt here (It may be too dumb). I understand that the given test data would be analyzed and using a logistic regression or any other algo, an equation is formed to classify the files. Once the equation is formed to calculate the probability we can test it using the test data. I am missing out at one point here, in the test data an altogether new file comes to get processed, how can we relate it. I mean how can we get the relationship between two malware files.",0,None,1,Sun Mar 01 2015 13:44:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12646,/competitions/malware-classification,None
/nicholasconnor,What changes would you make in a production environment?,"A main purpose of these CTR models is to rank a set of ads at impression time, and determine which will generate the most revenue. In the industry, ad revenue is often times measured by Revenue Per 1000 Impressions, or RPM. RPM = CTR * Revenue Per Click * 1000; With this idea, I’m curious what changes you would make in a production environment to maximize RPM. Are there other features that you would collect? There is a plethora of additional data available at impression time - even so far as what the weather is like in a user’s area. How well suited are the models proposed here for predicting clicks in a many-advertisement environment? Often times, 5 or more ads are displayed adjacently, for example on a Google Search page. What would you change to account for this?",0,None,1,Sun Mar 01 2015 18:07:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12647,/competitions/avazu-ctr-prediction,None
/yuvraj,No Sentiment column,"My unlabeledTrainData is showing wrong dimensions. train.shape is giving (50000,2) as output instead of (25000,3). Any solutions?",0,None,3,Sun Mar 01 2015 18:23:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12648,/competitions/word2vec-nlp-tutorial,None
/anarbek,DBN,Hi. I wrote a sample using DBN algorithm. but it only predicts 0 or 1. I followed the same algorithm as in digit recognition used here:http://www.pyimagesearch.com/2014/09/22/getting-started-deep-learning-python/ Is it right to use neural networks for this problem?Any ideas?,0,None,1,Sun Mar 01 2015 19:07:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12650,/competitions/poker-rule-induction,181st
/yejiming,Model that based upon assembly language instructions,"Seems in the forum we are all talking about models that use byte counts. But I found using assembly language instructions(such as mov, jmp, add) as features has a better performance. A random forest with instruction count features gives me a LB lower than 0.04. It surprised me a lot since this model has only 13 features, while byte counts model has 256.",4,bronze,3,Mon Mar 02 2015 02:57:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12651,/competitions/malware-classification,65th
/datalover256074,CNN,is there is any CNN code for this competition using python lasagne + nolearn ?,0,None,29,Mon Mar 02 2015 04:39:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12652,/competitions/datasciencebowl,282nd
/hillarysanders,RadarQualityIndex Wrong?,"So I'm checking out 'RadarQualityIndex'. The description of the data says: RadarQualityIndex: A value from 0 (bad data) to 1 (good data) But I'm unconvinced... If you bin estimates up by RadarQualityIndex, sd(rr1, rr2, and rr3) increase, they don't decrease. (Especially in the .8-1 interval.) Am I missing something?",0,None,3,Mon Mar 02 2015 08:57:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12655,/competitions/how-much-did-it-rain,None
/hillarysanders,I don't trust the gauge data...,"Okay, so here: http://wmo.asu.edu/world-greatest-sixty-minute-one-hour-rainfall it says that the world record for rainfall in sixty minutes is 305 mm / hour. But in the training dataset, we see up to 899 mm / hour. So, is the gauge data not entirely trustable?",0,None,1,Mon Mar 02 2015 09:00:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12656,/competitions/how-much-did-it-rain,None
/negelis,Big difference between logLoss on validation set and that on test set,"Dear all, I'm wondering if anyone has met with similar problem when using Caffe to do the prediction. I random choose 10% from training set as validation set, which is only used to select the model. After local training, I got a model with logLoss 1.62. But when I made prediction and submitted, I got a logLoss 3.00. The way I make prediction using Caffe is from [Link]:http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/classification.ipynb. My code is like the following: net = caffe.Classifier(MODEL_FILE, PRETRAINTED, image_dims = (64,64)) ## read in test images into inputimage prediction[i*batchSize:(i+1)*batchSize,:] = net.predict(input_image[i*batchSize:(i+1)*batchSize]) So anyone has any idea of why it is like this. Thanks.",0,None,3,Mon Mar 02 2015 16:08:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12658,/competitions/datasciencebowl,303rd
/yukatherin,How is AUC computed?,The way I understand AUC is the area under the curve as you're varying different thresholds for the positive class. How are they doing this if we're only submitting 0/1 and not submitting probabilities/scores?,1,None,5,Mon Mar 02 2015 16:37:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12660,/competitions/word2vec-nlp-tutorial,None
/leswong,Destination Feature,"Hello Kagglers, Though my data science skills (R/Python/Machine Learning) are weak, I want to see what you guys think of my thought process and see if this feature is worth being further developed. So first let me explain my thought process with creating this feature, which I'll call ""Destination."" To try to define ""Destination,"" I want to view the segment of the trip before the driver begins to look for a parking spot. My reasoning for taking this approach is because of three reasons: 1. Each trip seems to start at an arbitrary spot. This is indicated by the high speed accelerations at the beginning of each trip. Therefore, if two identical trips are recorded at very different parts of the trip, they would be deemed as different trips. 2. Traffic, rather than the person's actual driving habits, would be a much stronger influenced on the trend of the trip. However, the local route that's typically taken prior to your arrival home, should hopefully have less traffic. 3. This may be biased, but I would say that I am usually leaving my house and coming back after, or leaving a location to get to my house. Therefore the ""Destinations,"" when clustered, should have a cluster that would be the driver's home. Once I can see that this is the person's home, I would work backwards to take habits within person's trip home to identify other trips this person may have taken. So I have the syntax ready to make a submission, but the run takes about a day, due to inefficient R programming. Also, a good amount of my approach has arbitrary/subjective components. For instance to remove the portion of the trip that looks like the person is parking, I take the moving average of 20 and eliminate moving averages that are greater than 1. To view the clusters I use the kmeans function in R with a cluster of 20. The destination subset of the trip is 80 observations before the person is looking for a parking spot. Though I can clearly see a trend when graphing the clusters, I would be grateful if someone could tell me if my approach is suboptimal or impractical. However, if you guys see some potential to my approach, I can clean up the code and post it here for further discussion.",0,None,3,Mon Mar 02 2015 17:12:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12661,/competitions/axa-driver-telematics-analysis,None
/xinmeng2,I worried that the labeled results are not correct. ,"I look through some of the cases that were rated as ""0"". However, there are definitely bleeding spots there. This incorrect rating will cause problems for the machine.",0,None,9,Mon Mar 02 2015 17:52:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12662,/competitions/diabetic-retinopathy-detection,None
/srt19170,Detecting Invalid Entries in Stage One,"I have a [Link]:http://netprophetblog.blogspot.com/2015/03/the-first-part-of-kaggle-competition.html up about ""administratively invalid"" entries and what's a reasonable estimate for the best theoretical performance for a predictor.",5,silver,13,Mon Mar 02 2015 18:06:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12663,/competitions/march-machine-learning-mania-2015,42nd
/llmsiihu,Order of test files in the submitted file,"1- Is the order of the test files in the submitted probabilities file important? Or can they have any order as long as the Id column is specified? 2- Should the first column having the file name always have ""quotations""? Thanks in advance",0,None,1,Mon Mar 02 2015 19:01:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12664,/competitions/malware-classification,294th
/mron0210,Machine Learning and Security ,"Hi, I am new to Machine Learning having recently completed Andrey Ng's Machine Learning course. I have over 10 years of experience in Security and I am interested in applying machine learning for solving security problems. I need your guidance, which challenge should I try to get a better understanding of what I learned in the course ? I found the following challenge - ""Classify malware into families based on file content and characteristics"". Suggestions are welcome. thanks",0,None,1,Mon Mar 02 2015 20:19:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12665,None,None
/rumi2752,Can't Understand How To Rate Images,"It's said that images can have possible 5 ratings. But I don't quite understand how it'll work. Is it ""4"" being ""the worst stage of DR"" and ""0"" being ""healthy eye""?If so, then what defines the worst stage of DR?If not, how to assign these ratings?",0,None,1,Tue Mar 03 2015 06:57:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12668,/competitions/diabetic-retinopathy-detection,464th
/omi1994,Average data,"As we have multiple variables in one column, we decided to take the average of some data. This is not possible and useful for all columns, for example hydrometeortype. Is this a reasonable idea to take the average?",1,None,12,Tue Mar 03 2015 14:51:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12670,/competitions/how-much-did-it-rain,None
/omi1994,Logit Regression,"Logit Regression seems a good way to find the distribution for multiple variables, though it's better for categorical data. What other ways can be used?",3,bronze,2,Tue Mar 03 2015 14:57:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12671,/competitions/how-much-did-it-rain,None
/preeti,problem in Submission,"I am struggling with format of submission, any suggestion",-3,None,1,Tue Mar 03 2015 18:04:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12673,/competitions/axa-driver-telematics-analysis,347th
/del=0eddfb51f0bee80c,Variety of Image Conditions,"Looking at the size of the photos, there seems to be 4 normal distributions potentially indicating 4 unique conditions by which the photos were taken. Curious how others are sampling. I've considered using reservoir sampling, but would like to hear what you think. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65370/2036/Screen Shot 2015-03-03 at 4.40.13 PM.png",2,bronze,1,Wed Mar 04 2015 00:08:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12675,/competitions/diabetic-retinopathy-detection,279th
/wcukierski,"Update on team ""Driving It""","Just a minor leaderboard update: Team ""Driving It"" had a member who was not an AXA employee, joined a team, and has since been hired by AXA. Since this member is now prize ineligible and the rules forbid mixed teams, we have allowed him to split off on his own (as a prize-ineligible AXA team), under the condition that both teams work separately from this point forward. Kaggle and AXA both agreed this was a fair option and the most sensible way to comply with the rules.",0,None,6,Wed Mar 04 2015 03:28:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12676,/competitions/axa-driver-telematics-analysis,None
/buzzlightyear,Install Theano on Windows 8.1 with GPU enabled: pycuda installation problems,"Dear All, I'm getting crazy on installing Theano. I've a laptop with two graphic cards, one of them being NVIDIA GeForce GT 750M and Windows 8.1 as operating system. I followed the instruction on http://stackoverflow.com/questions/25729969/installing-theano-on-windows-8-with-gpu-enabled Microsoft Visual Studio 12.0 installation; CUDA 6.5 installation (64-bit Notebook version). It was successful (I launched deviceQuery); Python, Git, MinnGW, Cygwin installation; Modified the msvc9compiler.py file and added the line: ld_args.append('/MANIFEST') PyCUDA installation doesn't work! Downloaded pycuda-2014.1.tar.gz From Visual Studio Command Prompt 2012 went to the directory where tarball was extracted and executed ""python configure.py"" Then opened ./siteconf.py and modified it: BOOST_INC_DIR = []BOOST_LIB_DIR = []BOOST_COMPILER = 'gcc43'USE_SHIPPED_BOOST = TrueBOOST_PYTHON_LIBNAME = ['boost_python-py27']BOOST_THREAD_LIBNAME = ['boost_thread']CUDA_TRACE = FalseCUDA_ROOT = 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v6.5'CUDA_ENABLE_GL = FalseCUDA_ENABLE_CURAND = TrueCUDADRV_LIB_DIR = ['${CUDA_ROOT}/lib', '${CUDA_ROOT}/lib/x64']CUDADRV_LIBNAME = ['cuda']CUDART_LIB_DIR = ['${CUDA_ROOT}/lib', '${CUDA_ROOT}/lib/x64']CUDART_LIBNAME = ['cudart']CURAND_LIB_DIR = ['${CUDA_ROOT}/lib', '${CUDA_ROOT}/lib/x64']CURAND_LIBNAME = ['curand']CXXFLAGS = ['/EHsc']LDFLAGS = ['/FORCE'] (my cuda path is C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\lib\x64) 6. then executed the following commands: set VS90COMNTOOLS=%VS100COMNTOOLS%python setup.py buildpython setup.py install I don't receive any error. 7. Created this python file: # from: http://documen.tician.de/pycuda/tutorial.htmlimport pycuda.gpuarray as gpuarrayimport pycuda.driver as cudaimport pycuda.autoinitimport numpya_gpu = gpuarray.to_gpu(numpy.random.randn(4,4).astype(numpy.float32))a_doubled = (2*a_gpu).get()print a_doubledprint a_gpu and here there's something wrong (please see the screenshot attached). Would you give me a hand in understanding how to fix it? Thank you so much Cristian [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65396/2037/doc1.docx",0,None,29,Wed Mar 04 2015 12:03:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12677,/competitions/datasciencebowl,289th
/pauldi,"Make a torrent with data, please",Downloading such big files with browser with interrupting internet is horrible. Kaggle dont allow using of download managers (it needs session in cookies),0,None,1,Wed Mar 04 2015 14:42:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12679,/competitions/diabetic-retinopathy-detection,None
/rhightower,other protists,"Why do so many of the ""protist_other"" category look like protist_noctiluca? I guess I can just assigned them 50-50 to both categories, but I wonder if the scientists actually see a difference? (e.g. compare protist_noctiluca/51221.jpg and protist_other/160266.jpg) I'm taking some of these out of the training sets, and then I put them back in during the category assignment. Any other ideas?",2,bronze,1,Wed Mar 04 2015 15:20:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12680,/competitions/datasciencebowl,940th
/udatta,Blank files in test set?,"So I have a ton of files (nearly 5000, .asm and .bytes combined) in the test set which are absolutely BLANK. Now I'm pretty certain there has been a download error (I keep getting a 'Data error:...file is broken ' error while unzipping)-but before I go back to the rather painful and 2 to 3 days long task of re-downloading the test set, can I check with any of you the sizes of the following example files? ITSUPtCmh7WdJcsYDwQ5.byte iwXK2bUysO0CPvBf8nTt.byte jEAbMPelkWmNgCrGU2QY.byte Also are the content of these files all '??"" . For me they are actually blank files . Would be grateful of your reply Thanks",0,None,5,Wed Mar 04 2015 16:55:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12681,/competitions/malware-classification,206th
/oberqi,Equal scores and AUC,"Does anyone have an idea how the AUC score behaves when some scores are equal? (let say for example you have a subset of your scores of size = 100 with the same score, 90% of it are true positives and 10% false positives)",0,None,1,Wed Mar 04 2015 19:21:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12682,/competitions/axa-driver-telematics-analysis,None
/byang1,Release test dataset labels ?,"Hi, Will the test labels be released ? Also the post-deadline submission is not working for this competition. Thanks.",0,None,2,Wed Mar 04 2015 19:22:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12683,/competitions/sentiment-analysis-on-movie-reviews,None
/sarvesh,Smaller Dataset with labels,"Considering the size of data and a requirement that all the files have to be downloaded to unzip and view the images, Getting started is difficult as the broadband speeds are a bit of a issue here. Request admin if you can release say 100 people images along with labels to get started.",10,silver,2,Wed Mar 04 2015 19:44:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12684,/competitions/diabetic-retinopathy-detection,None
/nitini,What kind of Hardware is necessary?,"I've been working with the Caffe framework to develop my solution to the competition, and am trying to figure out what is really necessary to make training and testing deep nets less time intensive. 1. In general, what would be the specs on a state of the art desktop for this competition and other kaggle competitions in general? 2. What kind of set up are most people here using? 3. I have a computer with an Intel Q2600 3.4Ghz, GTX 580, and 8GB DDR3 RAM. Would this system be powerful enough to make training deep nets take only a few minutes? Thanks for any info! Best, Nitin",0,None,10,Wed Mar 04 2015 19:49:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12685,/competitions/datasciencebowl,905th
/songgc,Deep convnets overfitting analysis,"When we say overfitting happens to a convnet, it means the whole network. I'm curious that can we know which layers overfitting happens to?",1,None,5,Wed Mar 04 2015 20:05:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12686,/competitions/datasciencebowl,14th
/zachmayer,Calculate round based on tourney slots,I have the seeds for 2 teams. Lets say: W11 vs Z06. How do I compute which round these 2 teams would face each other in?,0,None,22,Wed Mar 04 2015 22:21:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12687,/competitions/march-machine-learning-mania-2015,118th
/elizabethsusanjoseph,How to document a data science project,"I was told by my friend that I should document my machine learning project. I am new to data science and I have planned to do this project. How do I document my project? I know this is a general question, I asked this on quora but I didn't get enafe responses. so that's why I am asking this question here. If you think this question is irrelevant I will delete it.",-1,None,1,Thu Mar 05 2015 07:15:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12688,/competitions/march-machine-learning-mania-2015,None
/elizabethsusanjoseph,How to document a data science project,"I was told by my friend that I should document my machine learning project. I am new to data science and I have planned to do this project. How do I document my project? I know this is a general question, I asked this on quora but I didn't get enafe responses. so that's why I am asking this question here. If you think this question is irrelevant I will delete it.",39,None,10,Thu Mar 05 2015 10:26:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12689,None,None
/pengpai,Validation Accuracy is 70% ranked 800 in LB,"Hi guys. I just come in this competition recent few days. While I deploy a CNN with Nolearn + Lasagne with a single GPU in some cloud computing platform. I left 10% training data as my validation data using sklearn.train_test_split. And I get my validation accuracy nearly 70% within an hour. However, when I submit my result, my logloss is about 8 ranked 800 in LB. Does anything go wrong? And I guess maybe the row or column mixing problem? Any suggestions are welcomed. Thank you !",0,None,13,Thu Mar 05 2015 11:40:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12690,/competitions/datasciencebowl,191st
/julesvanligtenberg,Not yet made a submission? Do it now!,Every competition there are some people unaware they have to make at least one submission 1 week before the actual competition deadline. I hope to reach them this way. So please make at least one submission for this competition before March 9 11:59 PM UTC!!,5,silver,2,Thu Mar 05 2015 13:02:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12691,/competitions/datasciencebowl,23rd
/elizabethsusanjoseph,Help needed in stage one,"Hi kagglers, This is the first time I am doing a data science competition. Before this I have done few courses on data science such as Harvard data science course, courser machine learning course and I am an average python programmer with knowledge of scikit learn,numpy, scipy and scikit learn. I downloaded the data from the home [Link]:http://www.kaggle.com/c/march-machine-learning-mania-2015/data and uploaded them into my I python notebook. I also understood the objective of this competition. I was starring at my computer screen for the past 3 hours not knowing how to proceed with stage one of this competition. Can some one please help me on how to proceed with this. I am not able to take even a single step forward. Also, I couldn't understand what is meant by matchups? can some one guide me on how to proceed, I am really interested in solving this problem.",-2,None,4,Thu Mar 05 2015 13:19:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12692,/competitions/march-machine-learning-mania-2015,None
/elizabethsusanjoseph,Please correct me if I am wrong in understanding  stage 1 ,"The stage one of the competition asks for ""predicted probabilities for every possible matchup in the past 4 NCAA tournaments (2011-2014)"" . Each year the ncaa has 63 games , so does that mean I should predict probabilities for each game for a year ? So in total I have to predict probabilities for 252 games for the 4 years. Is my understanding of the stage 1 right or wrong?",0,None,8,Thu Mar 05 2015 14:59:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12693,/competitions/march-machine-learning-mania-2015,None
/epinephelus,Does hand labelling regions for training only allowed?,"Hi, Say I want to train a supervised hemorrhage detector. Can I manually annotate the regions in some of the training images provided in order to train it?Does this count as use of ""external"" data which is expressly forbidden?",2,bronze,1,Thu Mar 05 2015 18:13:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12695,/competitions/diabetic-retinopathy-detection,29th
/msofka,Software for vessel centerline detection,"If anyone needs a vessel centerline detection, easy-to-use software tool is available for download here: [Link]:http://www.sofka.com/LRV.html It is based on a highly cited paper: Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge MeasuresMichal Sofka and Charles V. StewartIEEE Transactions on Medical Imaging, vol. 25, no. 12, pp. 1531-1546, Dec. 2006. Please post any questions or comments.",3,bronze,23,Thu Mar 05 2015 19:12:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12696,/competitions/diabetic-retinopathy-detection,None
/duncanbarrack,My code,"Hello I've added my code to github for my winning NER solution (4th in leader-board). When I have time I'll also include the cross validation code I used. I've also attached the model documentation to this post. Any comments are very welcome. github.com/duncan-barrack/kaggle_BCI_challenge Cheers, Duncan [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65531/2073/report.pdf",10,silver,3,Thu Mar 05 2015 20:21:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12697,/competitions/inria-bci-challenge,4th
/ntos291356,"Online Learning programs, and in-person bootcamps",I was wondering if anyone has any experience with any of t [Link]:http://bit.ly/1C7uEKk. I am really interested in hearing people's experiences with them.,1,None,1,Thu Mar 05 2015 21:15:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12698,None,None
/philippkostuch,Forming a team: trip matcher looking for driver profiler,"Hi, am looking for someone to form a team with. I have exclusively focused on matching up trips (i.e. seeing them as pictures only based on coordinates & ignoring all time-dependent information and the features you can driver from the time component). What I can offer is about 175,000 trips confirmed as belonging to the driver (with a rather lower error rate of only 0.5% - so less than a 1000 mistakes in that batch). Ideally, I would like to combine this with someone who has focused largely on driver characteristics to maximise synergy from the combination - any takers?",0,None,8,Thu Mar 05 2015 21:34:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12699,/competitions/axa-driver-telematics-analysis,52nd
/predictor,Proprietary Software: Allowed or Not?,"Is it acceptable to use proprietary software for this competition, as long as the software implementing the submitted solution is free to give away?",1,None,5,Fri Mar 06 2015 00:28:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12701,/competitions/diabetic-retinopathy-detection,None
/jiweiliu,Local evaluation method?,"Hi, I'm wondering what local evaluation method or metric is suitable for approximating weighted kappa. I'm using mean square error. however it is not consistent with LB. for example, cv error (lower the better) 1.82, LB kappa 0.091; cv error 1.77, LB kappa 0.076 Any comments are appreciated.",2,bronze,7,Fri Mar 06 2015 01:42:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12702,/competitions/diabetic-retinopathy-detection,104th
/grant0321,Driver features vs geographic (path) features,"I would be interested to see how well people scored with: Using driver features alone (acceleration etc), Geographic or trip matching only, Combination of both. I've only managed a score of 86.5% using purely driver features.",0,None,11,Fri Mar 06 2015 04:27:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12703,/competitions/axa-driver-telematics-analysis,253rd
/mickie,Newbie Q?: Order of the IDs on submission,Can you have the ids in any order in your submission file?,0,None,1,Fri Mar 06 2015 04:56:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12704,/competitions/how-much-did-it-rain,169th
/davidthaler,AUC anomaly,"One of my submissions got ~0.885 LB and looks like this: driver_trip,prob1_1,0.8119651_2,0.6634611_3,0.3714281_4,0.7603301_5,0.2586201_6,0.2897191_7,0.5670101_8,0.7881351_9,0.085470 I now believe that there was a bug in the code, and that those probabilities are 'backwards', that they are for 0 or 'not this driver'. I changed it and ran the code again with the same parameters and got a submission that looked like this: driver_trip,prob1_1,0.2169811_2,0.2735041_3,0.5833331_4,0.2047241_5,0.6881_6,0.7192981_7,0.5050501_8,0.2184871_9,0.834782 ...close to a mirror image of the earlier one. This also got ~0.885 LB. It seems to me that, no matter what, one of these should be getting ~0.115. There are submissions with scores < 0.5, so Kaggle isn't flipping backward submissions. Any thoughts?",1,bronze,5,Fri Mar 06 2015 07:08:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12706,/competitions/axa-driver-telematics-analysis,65th
/del=a0b954cde2018d81,How do you perform on the competition?,"Yesterday I submitted for the first time my solution. Leaving personal feelings aside on my performance, I don't understand that we are dealing with the best data scientists all over the world, but the only metric we get is a place in the leaderboard. I don't think it tells me much about my performance. Unanswered questions I have are: - At the bottom of the ranking, there are many people that submitted a foolish answer. How many? - How much do I have to improve to move up a hundred places? - Is it as hard to move from place 600 to 500 as from 200 to 100? I made a very little script that scrapes the leader board and produces a graph that answers all these questions in one eyesight. You can fill in your name at the top and let it run to see your performance. What is extremely surprising is the performance of the top 50 candidates. As mentioned on this forum already, I assume they found a very different approach and keep silent about it... Now lets hope I can improve a bit the upcoming week :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65574/2051/Ranking_Kaggle.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65574/2052/Performance.png",10,gold,4,Fri Mar 06 2015 08:58:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12707,/competitions/axa-driver-telematics-analysis,724th
/baxton,Error on submission,"Trying to submit and getting this error: ""Evaluation Exception: Index (zero based) must be greater than or equal to zero and less than the size of the argument list.."" The only thing I can think of is I changed order of classes, i.e. not the same as in the sample submission.",1,None,2,Fri Mar 06 2015 09:53:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12708,/competitions/datasciencebowl,665th
/pengpai,Tuning CNN for data augmentation,"Hi, guys. As I described in a previous post, I deploy a CNN with Nolearn + Lasagne with a single GPU in some cloud computing platform. I left 10% training data as my validation data using sklearn.train_test_split. And I get my validation accuracy nearly 70% within an hour. I submit this result and get a roughly 1.2 logloss. Now I begin to consider data augmentation and expect such strategy could gain me a boost of validation accuracy. However, this is what I get. http://imgur.com/y7F723Z Note that the validation loss/accuracy continues to decrease instead of increasing as we expected. My first action is to turn down the learning rate. However it is still going down, only more slowly. Could anyone give some advice ? Thank you !",2,None,3,Fri Mar 06 2015 11:32:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12709,/competitions/datasciencebowl,191st
/domcastro,Question on seeding,"If a really good player broke a leg before the Sunday, would this change the way the team was seeded or is it just done on team performance throughout the regular season?",0,None,5,Fri Mar 06 2015 12:31:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12710,/competitions/march-machine-learning-mania-2015,8th
/mrleathers,I am no longer on Titanic leaderboard,I have a submission that was ranking and still should be ranking very high in the Titanic competition but I am no longer listed anywhere on the public leaderboard.,0,None,1,Fri Mar 06 2015 14:40:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12711,None,None
/markpeterson,Can I use info from the test set in training?,"The underlying question is, can I use information about features in the test set when building a model on the training data? The details: I am just starting to play with the Titanic data, and I have question about ""fair"" methodology. I am working through the ""SOUPTONUTS"" tutorial in R and noticed that the attempt to use the number of family (Parch + SibSp) doesn't actually do much to reduce the extreme variability in Fare. However, I also noticed that the three highest fares are all identical and share a ticket number but not last names. Dividing by the number of people sharing that ticket number does ok, but still not great. However, if I count the number of people on that ticket in both the train AND test datasets, the result is a lot better. The question, both for the rules of this competition and from a general methodological point, is whether or not this is ""allowed"". It seems like this would also improve other data imputation (e.g., the median age will be more precise including the test ages; there could potentially be labels present in the test set that are not present in the train set, etc.) without it being ""peeking"" as this does not rely at all on the survival classification. However, being new enough to this kind of approach, I understand that I may be missing something fundamentally wrong with doing that. Thanks in advance for any guidance.",1,None,1,Fri Mar 06 2015 15:07:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12712,/competitions/titanic,None
/mbuxton,LogLoss calculation coming out same for each of four tourney years,"Hi, Wondering if anyone had this same problem and figured out where they went wrong, I'm getting nowhere. I'm calculating the LogLoss as provided (using Python code provided in forum - thanks!) but the results I get for each of 2011, 2012, 2013, and 2014 are exactly the same to the 15th decimal place. And the end result is not a good number - 0.133013311036565. My inputs are definitely correct in that they're not the same input. I'm using a winning percentage calculated on a rank which was calculated from the RPI (as outlined by Jeff on the forum). My RPI numbers agree with Jeff's so I know that's okay. And I have the correct number of games (9112 in total for the four years). Any ideas welcome - and thanks.",0,None,25,Fri Mar 06 2015 20:26:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12713,/competitions/march-machine-learning-mania-2015,None
/del=444c9806405403bd,Looking  for top team to talk about  advance  features,"Hello , I am looking for top perfomer team which have 0.93 or 0.94 on the Leaderbord to talk about some advanced features . So contact me fast on alexandru130586@yandex.com because time is running out.",-8,None,9,Fri Mar 06 2015 20:58:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12714,/competitions/axa-driver-telematics-analysis,None
/utility,Looking to join someone in top 100,Hello I want to team up with someone with a good LB score (>.90). I have: 1)two different models that score .90 and 0.87 respectively 2)a set of decently matched trips that improves my top scores (from 0.902 to 0.92 for example) 3)a method for local evaluations that almost perfectly correlates with LB score So if one has a nice approach i think that even plain model ensemble might give a good boost. Please respond if you are interested EDIT: Currently there are 2 people including myself from UTC+3 timezone. We have strong random forest and boosting models. We are looking to someone in 3-4 hour time difference range and with strong models based on different approaches (like logistic regression or svm),0,None,3,Fri Mar 06 2015 22:53:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12715,/competitions/axa-driver-telematics-analysis,24th
/hanshupe,Looking for indicators for ARIMA model,"The ARIMA model consists of 3 parts: the autoregressive, integrated, and moving average part. I am looking for an indicator of each part, that show me in advance if it is possible to generate a good ARIMA model. e.g. for the autoregressive part the autocorrelation coefficient might be an indicator, does that make sense? I am not sure where I should start to find equivalent indicators for the integrated and moving average part. Do you have any suggestions? Thanks!",1,None,4,Sat Mar 07 2015 00:36:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12718,None,None
/elizabethsusanjoseph,solutions for 2014 machine learning mania in python,"Hi all, This is my first ml kaggle competition, I have neither cs or statistics background. I am looking for solutions to machine learning mania competition in 2014 in python(using libraries like pandas and matplotlib). So that I can actually do some thing in 2015 competition using that code as a reference. I googled for it but I couldnt find any solution. I am completely struck. Please help me with this!!! Regards, Susan Joseph",-1,None,2,Sat Mar 07 2015 03:43:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12719,/competitions/march-machine-learning-mania-2015,None
/elizabethsusanjoseph,"Help needed from machine learning, statistics and kaggle experts","Hi all, I am new to kaggle and this is my first competition. In stage one of the competition I have to predict the out come for matchups, so my test data is 2011-2014(9112 rows in my sample file). How do I make this training and test data matrix in python, for example each entry in sample.csv file is in the form of 2011_teamid1_teamid2 . how do I form all these matchups to form my training and testing data matrix. Thanks for the help in advance. Susan Joseph",-4,None,7,Sat Mar 07 2015 04:21:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12720,/competitions/march-machine-learning-mania-2015,None
/plutos,Evaluation Exception: is not a valid value for Double,"Hello Team, Could you please help me to fix the error? I'm trying to submit my model file in csv format today? I get the following error ""Evaluation Exception: is not a valid value for Double"". I do not have any missing values in my CSV file.",2,None,3,Sat Mar 07 2015 04:39:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12721,/competitions/titanic,None
/swapniel,Can Embarked be used as variable taking 3 values?,"Hi, Titanic visited the cities in following order: 1. Southampton 2. Cherbourg 3. Queenstown So can I use it as feature taking three values {1,2,3} or should I use it as binary vector by assumption that cities have no order. Thanks",0,None,1,Sat Mar 07 2015 09:44:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12723,/competitions/titanic,None
/evaristoc,"different languages, similar tools: Different Results???","Hi kagglers, I would like to know if some of you are playing with different languages and tools to investigate the same problem and obtaining still different results? I started using random forest using R's caret package (either training or within recursive feature elimination with rfFuncs) and after some frustrating results where even couldn't get replication of my best results (this is possibly my own fault...), I decided to use Python scikit-learn implementation by ""New Bayesians"" (thanks, Shubham!!!) for a comparison. First of all, I would expect from the caret package to be more accure: in the code made public by Shubham there was no validation (unless I am missing something...), something that caret functionality does have. However, when using New Bayesians model only once I got even a better score than any of my trials using R. When trying to take some aspect of their model and using R packages I still got very bad results, sometimes 30 points worst, despite of obtaining RMLSE's at validation stage that were similar what you get with New Bayesians code (around .407). In fact my results using New Bayesian model with caret::rfe or caret::train were many times worst of what I managed to get previously with my best R script (under .43). Ignoring any possible mistake I made with the script (it is always possible...), I still wonder if anyone is trying to replicate the same results using different languages and packages and getting huge discrepancies? Additionally, although it is clear that the validation procedure is numerically intensive the R implementation is always too slow, sometimes taking more than 1 hour (if you want to replicate, be aware...). I am connecting to R through python by using the rpy2 library, but I don't think that that is the problem: as soon as it starts using two cores in a multicore implementation the R processes take control, so I guess it is slow only when python calls R. I found several references also in this competition suggesting that R implementations are taking a lot of time. So, is anyone experiencing large differences between RMLSE at validation and RMLSE at test when using rfe or training (caret::) with R? What about other implementations of random forest (eg randomForest) using R? And how long does it take? To facilitate the comparison, I would suggest to verify the following equation in all comparisons: (casual or registered) ~ day + time + year + season + holiday + workingday + weather + temp + atemp + humidity + windspeed without factoring the variables and without log transformation of dep-var. Looking forward to your feedbacks, kagglers!",0,None,1,Sat Mar 07 2015 17:47:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12724,/competitions/bike-sharing-demand,309th
/paddywhacker,Rain Rates,"I have just looked at the Rain Rate values, RR1, RR2 and RR3, and how they correlate with the rain gauge values; please see the enclosed chart. While the calculated RR figures correlate reasonably well amongst themselves they seem to bear very little relation to the rain gauge values. I have looked at the free tutorial videos on this subject, but I cannot reconcile the mismatch. If the RR algorithms were developed from rain gauge readings then why, in the current set, do they not correlate? For the enclosed graph I have divided the rain gauge readings into 30 bins on the basis of their values and plotted the means of the corresponding RR values. Regardless of selection bias, there should be a better correspondence. Have the principles been using models like this in the field? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65699/2063/Rain Rates.jpg",2,bronze,2,Sun Mar 08 2015 05:45:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12725,/competitions/how-much-did-it-rain,None
/sanjith123,Data analysis using statistic Tool R,looking for hands on experience or participate in competition where R can be used only.Interested in R code related case study.Please help to help get where I can find or anyone please submit R case study here.,0,None,1,Sun Mar 08 2015 06:28:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12726,None,None
/del=d155c48030c5d3bf,Are some of the images missing in the test dataset?,I am starting this competition really late. I looked in the test dataset and some of the images like 108.jpg were missing. Is that normal or did I screw up the extraction?,0,None,3,Sun Mar 08 2015 09:00:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12727,/competitions/datasciencebowl,None
/evaristoc,What's it working for me?,"Hi kagglers! Observations of the things that seem to be working for me so far (and some that not...). Be aware that I will be mentioning public code made available by other kagglers. To date, I have been concentrated on random forest and rf variations as method, but I will be experimenting with other ones in the near future. Additionally I will also talk about python scikit-learn and R. 1) A first overview of my observations about using either R or python are mentioned at another thread [Link]:http://www.kaggle.com/c/bike-sharing-demand/forums/t/12724/different-languages-similar-tools-different-results). There are other works that suggest some differences in the results when using those tools with random forest, in particular [Link]:http://www.kaggle.com/c/bike-sharing-demand/forums/t/12636/python-scikit-learn-based-random-forest-score-0-40757 (scikit-learn) and [Link]:http://www.kaggle.com/c/bike-sharing-demand/forums/t/11525/tutorial-0-433-score-with-randomforest-in-r (R randomForest package). I confirmed those differences, even when using New Bayesians model in R's randomForest: there was an improvement over bruschkov model but not substantial. Although this comparison is not ""serious enough"", this situation still posts a question mark: to what extend we can replicate similar results using different languages or packages that claim doing the same thing? The problem is not new and has been commented before by more serious analyses. Normally the identical performance is given for granted, but is it true? But if there are differences, then the problem is serious, specially if you have to select a tool and learn a language. A better understanding of the algorithms and corrections used at any package and likely the maintenance of the package could play an important role. 2) Looking at the results I got using New Bayesians model it looks like for random forest the no categorization (specially for time-related variables) is actually preferred. This could make sense: time is not a categorical variable. I personally thought that a categorization could have helped the model: if I understand correctly, random forest and any other method based on decision trees would convert any numeric variable into a range, which is an additional processing. But in fact by defining the level of measurement of the variable as categorical we could be preventing the algorithm to apply useful mathematical operations that suit better the nature of a time-related variable. This concerns only to the results I am evaluating: probably using other tools would ask for a different approach. 3) Other problem that I had was scaling or not scaling? Transformation or not transformation? I used scaling (read: normalization) for the weather variables which didn't result in clear improvements in performance and sometimes worsened the results (I am talking about R, haven't tried for New Bayesians yet). And although the correlation between the scaled variable and the original one was 1.0, none of the weather variables are gaussians, so perhaps normalization scaling was not appropriate. EDIT: check [Link]:http://stats.stackexchange.com/questions/95212/improve-classification-with-many-categorical-variables I found in the thread started by a New Bayesians participant. The same goes for transforming the data (for example, log transformation of the dependent variables). Transformation of data seemed to be working for some (I am not listing now...) but it may not be ok for random forest according to my last results. On the other hand, many other people are getting improvements with transforming the dep-variables. No-one has mentioned scaling yet. Due to the number of trials, the way I worked it and the mixed results getting by different people it wouldn't be responsible to totally affirm that scaling/transformation wasn't good decision. Nevertheless as I found in several external links, scaling/transformation always deserves some discussion. Perhaps the most single advise I could suggest was related to an external link mentioning that scaling is advisable if the plan is to evaluate possible interactions or if the variables were to be powered. Have a look and let me know? 4) For those using R: caret or not caret? Be also aware that my first interest was the performance of Recursive Feature Elimination (RFE) in the caret package, using rfFuncs. I had previous good experience using this method and the package. In fact, RFE was good enough to take me under the .43 benchmark (similar to the most recent result using randomForest package), a result that differed substantially from the catastrophic application of the caret::train with rf as method. Unfortunately I didn't keep a tidy follow up of my code for this project and I lost my best performance script, so I cannot say what worked (apologies for this...). But if you are planning to give it a try, be aware that: It was SLOW, because I was doing validation and particularly RFE visits A LOT of solutions before selecting for you the features so let alone would take long time It was not stable I am not suggesting that caret is a bad option: it would be a mistake to generalise from my experience, although I must admit that I am more likely to speed up my phasing into more scikit-learn after so much waiting and frustration. EDIT (28-05-2014): Why caret is still a very useful tool? Because it is a good package for setting up many different analyses with proper validation, grid search, metrics, etc. With a little work you can change the defaults with customised functions. Additionally it can be parallelised. And R is in my opinion very powerful in reporting and visualisation. 5) The benchmark given by kaggle people for this project is benign in my opinion. A more honest one could be to start measuring from the RMLSE obtained by averaging all values of casual/registered per month (around .56, according to Gautam Gogoi's comment [Link]:http://www.kaggle.com/c/bike-sharing-demand/forums/t/10093/solution-based-on-random-forests-in-r-language). That means to raise the bar up. On the other hand, although we have to respect the pecking order of ""the first to arrive wins"", I also must say that for a competition designed to learn an extra-official way to fairly evaluate your personal performance is to evaluate the performance without the date of arriving to that solution, particularly if there are several getting the same solution. In short, no matter how long did it take you and how, the most important is at least you got it. Finally, be aware that our results depends of other things (like using 64bit instead of 32bit machines), so don't feel disappointed if someone takes the lead for a few points... --------------------------------- BONUS LINK --- Like the answer to this question: http://www.kaggle.com/c/bike-sharing-demand/forums/t/11441/better-then-0-40-score-solution-in-r-language --- One about using random forest with this data and about data mining in general: http://stats.stackexchange.com/questions/112148/when-to-avoid-random-forest --- Other ones about the effect of indiscriminate application of tools and data analysis without good understanding of what (about big data): http://www.economist.com/blogs/economist-explains/2014/04/economist-explains-10#comments http://spectrum.ieee.org/robotics/artificial-intelligence/machinelearning-maestro-michael-jordan-on-the-delusions-of-big-data-and-other-huge-engineering-efforts",1,bronze,8,Sun Mar 08 2015 12:29:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12728,/competitions/bike-sharing-demand,309th
/abhisheksimhadri,Very slow - LDNN,"Hi I have been trying to solve this problem using multiple deep learning methods. However each one is extremely slow. Reducing number of filters or iterations significantly reduce the accuracy of the algorithm. Any inputs on how to increase speed of learning without compromising on number of hidden layers / features / filters / epochs etc? Has anyone been able to utilise the GPU as well as the CPU together in training LDNNs? What would be the best recommended system configuration for speeding up the learning process? I currently use an iMac with Core i5 2.9 GHZ, 8GB RAM, NVIDIA GTX 660M with 512 MB RAM. This is too slow. I feel I should assemble a system myself, however would performance not be affected without tight integration between the H/W, OS and our code? Would appreciate thoughts / recommendations on this. thanks",0,None,4,Sun Mar 08 2015 18:33:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12729,/competitions/datasciencebowl,406th
/densonsmith,colorspace of jpeg images,"I am trying to convert the images into the HSV color space using scikit-image in python. I thought that jpeg was in RGB but the images converted using rgb2hsv do not look correct. import numpy as npfrom skimage import colorfrom skimage import ioimport os# get the path to the script so we can use relative pathsfull_path = os.path.realpath(__file__)script_path, file = os.path.split(full_path)sep = os.path.sep path_to_image = script_path + sep + 'lena.jpg'image = io.imread(path_to_image).astype(np.float32)# Jpeg has values of 0-255 we need values normalized of 0.0 - 1.0image = image/255image_grey = color.rgb2grey(image)lena_hsv = color.rgb2hsv(image) io.imshow(lena_hsv)io.show() [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65727/2067/lena.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65727/2068/lena_hsv.jpeg",0,None,3,Sun Mar 08 2015 22:18:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12730,/competitions/diabetic-retinopathy-detection,None
/siddjain,How is the leaderboard score calculated?,Could anyone tell how is the leaderboard score calculated? I could not find this info reading the competition details.,1,None,2,Sun Mar 08 2015 22:53:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12731,/competitions/diabetic-retinopathy-detection,337th
/erengolge,What are meanings of the sections of given bytes and asm files?,"I am not very familiar to bytes and asm file representations. As I understand, asm file includes the disassembler output given the bytes representation of the particular file. Beside this what are the meanings of the particular sections of these files? My understanding is; for bytes files left most column is like line counter (maybe the memory location of that segment) and the remaining columns are the hexadecimal representation of the binary content of that file. in asm files there are assembly codes of the binary files but also we have lots of repetitions of such rows .data:0063800D D7 db 0D7h ; × what is the meaning of such rows and how the asm files are structured in particular?",1,None,5,Sun Mar 08 2015 22:58:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12732,/competitions/malware-classification,None
/danielpayne,Sample Submission,"In the sample submission one line looks something like this: id,pred2011_1103_1106,0.5 I know the id contains the year and the seeds, but what does .5 mean? Is it suggesting that neither team wins? Thanks, Dan",0,None,2,Mon Mar 09 2015 00:12:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12734,/competitions/march-machine-learning-mania-2015,None
/charlesroberson,Last year's leaderboard before and after NCAA tournament,"I can see (I think) the final outcome of last year's leaderboard, but I was wondering what did it look like at the end of stage1. Did it change much from end stage 1 to stage2 or was it virtually the same?",1,bronze,1,Mon Mar 09 2015 03:46:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12736,/competitions/march-machine-learning-mania-2015,202nd
/stanley1004,Question about applying Gradient Boosting to this problem,"Hi All, I have read through a lot of topics and they all recommend to try Gradient Boosting. I used GradientBoostingClassifier from python.scikit-learn on my model but I didn't get what I expected. It maybe a dumb and obvious problem but at this point of time, I just can't get it. The training set I used is one current driver's 200 trips and 1000 trips randomly chosen from rest of drivers (the pool is all by trips). I labeled the former ones as 1, the latter ones are labeled as 0. I used 1000+200 trips as the training set to train GradientBoostingClassifier model. To get the prediction result , I re-applied the trained model back to the current driver's 200 trips which were actually part of the training set. The thing is, when I applied the model, the predicted result shows label = 1 to all 200 trips from current driver. So the GradientBoosting seems not working to classify. I am sure there must be something wrong with my modeling, especially how training dataset is constructed, but I don't have any clue on how to set this up. I would appreciate if anyone can give me some hints on this one. Basically I would like to know how to setup the Gradient Boosting model. (Same thing happen when I applied Random Forest, but I guess the problem is the same). Many thanks in advance!",1,bronze,14,Mon Mar 09 2015 05:37:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12737,/competitions/axa-driver-telematics-analysis,986th
/developerx,Score > 0.9?,"I discovered the hard way that, in order for a submission to be scored properly, the probabilities in each row must be non-decreasing when read from left-to-right. This is mentioned on the contest ""Evaluation"" page, but I didn't understand the consequences until disaster struck. If you are using Numpy in Python, and your (630,452 x 70) probability array is called ""probArray,"" then you can properly order the values in each row with a statement like: probArray = np.sort(probArray) That should keep your otherwise good submission well away from the bottom of the Leaderboard.",1,None,6,Mon Mar 09 2015 07:46:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12739,/competitions/how-much-did-it-rain,21st
/asterios,CV scores vs Leaderboard,How does your local CV score compare against the public LB?I'm asking because my CV scores are directionally correct but seem to be consistently higher (around +0.005) than the LB.,0,None,15,Mon Mar 09 2015 11:17:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12740,/competitions/malware-classification,19th
/adrianseeley,"KNN K=10 From Scratch (C#, 173 lines) Score: 0.89843","Hey Kaggle! A few students of mine are showing some interest in KNN - so I've written it from scratch in C# this weekend using Euclidean distance as a measure of similarity. I would love for anyone here to be able to take a look through it and learn something from it! Please feel free to use it in any way you can! https://gist.github.com/adrianseeley/5f21429a80f59a0a77a2 There are no comments but the variables are all named very semantically for ease of understanding. There are no one letter variables, or shortened words ie: 'nearestNeighboursLabelsHistogram'. (K being the only exception, representing the K in KNN). I hope this helps someone out there!",1,bronze,2,Mon Mar 09 2015 13:43:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12741,/competitions/digit-recognizer,None
/benjamin12,"Training sample ""1x2u5Ws7tzFRAgyqoJBV"" only consist of data segment?","Hi all, I found that the file 1x2u5Ws7tzFRAgyqoJBV.asm only consist of data segment. I just want to see is it the problem of my zip file or everyone having the 1x2u5Ws7tzFRAgyqoJBV.asm with only data segment. Benjamin",0,None,3,Mon Mar 09 2015 15:42:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12742,/competitions/malware-classification,None
/varlamov,Базовые алгоритмы.,"В Leaderboard представлены 2 базовых алгоритма: Keyword mean benchmark и Global average benchmark. Их RMSLE рассчитаны по test.csv конкурса при обучении на train.csv? Или это данные для ориентирования, к которым надо стремиться?",0,None,3,Mon Mar 09 2015 17:00:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12743,/competitions/a2,9th
/statcoach,Stage 2 Scoring,"Hi, Just a quick question regarding the stage two scoring. Let’s say in round 1, that teamA plays teamB and that teamC plays teamD. Assume that teamA and teamC win, but I predict that teamB and teamD win. In round 2, because my submission file will have a predicted probability for TeamA vs. TeamC, will I get credit for predicting that mathup's outcome correctly even though my “Bracket” would not normally get credit since I predicted two other teams to face off in that round? Thanks, Jared",0,None,2,Mon Mar 09 2015 18:33:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12747,/competitions/march-machine-learning-mania-2015,242nd
/kbeggs,cleaning up the data,"The data appears to be rather messy with composite columns of data that have multiple values in it. This makes data analysis more cumbersome and introduces additional data preparation tasks. How are you handling data preparation, cleaning work? and handling the composite columns? I'm using Azure ML and not seeing a clean way to clean, prepare the data for analysis. Welcome suggestions on the best approach to overcome the poorly formed data. Thanks in advance",0,None,1,Mon Mar 09 2015 18:58:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12748,/competitions/how-much-did-it-rain,None
/srikris,Code sample for score of 0.93,"Hi all, I just made a guide of how to use conv net to achieve a score of 0.93. It takes less than an hour to get the result on a GPU out of which only 10 mins is required for model training. Getting started: https://github.com/srikris/datascience-bowl Please let me know if you have any issues. There is a simple pip install step that you need to pick up the dependencies. Setup time: ~2 minsTrain time: ~20 mins on a GPU (it could take much longer on a CPU)Validation score: 0.76Leaderboard score: 0.97 I am still investigating why I am overfitting. Let me know if you have any feedback.",6,silver,35,Tue Mar 10 2015 00:04:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12750,/competitions/datasciencebowl,235th
/asimkievich,with a little help from my friends.....,"What would you think if I sang out of tune.... Jokes aside, this competition has been a very humbling experience for me. After many submissions, the best LB score I got is a lousy 0.65. Basically tried out two unsupervised methods: plain vanilla anomaly detection and clustering (k-means). In the former, I estimate the probability of a given datapoint (feature value) assuming a normal distribution, and multiply the probabilities of the different features until I get the probability of the entire feature vector. In the latter, I used the scikit learn implementation - using 2, 3, 4 clusters and assuming probability of driver_trip of most populous cluster equals 1, prob of second most populous cluster equals 0.5 etc. I know this is a competition, but I wonder if any of you out of sheer mercy can share some info / provide a hint (publicly) upon whose reflection I might move up from my lousy 0.65 to a more respectable 0.75 or even 0.85. I read some folks use logistic regression, random forests, even SVM - and pardon my naivity - but I wonder how they used supervised learning if there are no labels. Unless they assume some unsupervised learning predictions are right on target and they use those labels to train the model and then create the predictions for the remaining dataset. If you believe you should let me have it, take it like a man, and learn after I check the best solutions - you may be absolutely right. Nevertheless, I thought that being a bit shameless and asking for some advice might get me to the same place, without forever owning my current lousy 0.65 LB score :). Thanks a lot! PS: my only excuse is that I entered a bit late, nonetheless I do not think it would have made a big difference.",1,bronze,4,Tue Mar 10 2015 00:20:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12751,/competitions/axa-driver-telematics-analysis,507th
/charlesroberson,Are we getting final test data? Admin?,"@admin, The leaderboard says this ""This leaderboard is calculated on approximately 30% of the test data.The final results will be based on the other 70%, so the final standings may be different."" With 6 days left, when do we get the final test set or am I missing something?",0,None,1,Tue Mar 10 2015 03:25:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12752,/competitions/datasciencebowl,243rd
/jiweiliu,per driver model vs. global model,"A per driver model supervised model introduced by Stephane Soulier really works well. I am just wondering if a global model, one model for all drivers, is possible for supervised learning. What kind of strategy should it be? Thank you for your comments.",1,bronze,4,Tue Mar 10 2015 03:41:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12753,/competitions/axa-driver-telematics-analysis,22nd
/datawalker,C code to generate features,"Hi all, This is my first competition. I'm struggling with the analysis, but I have a web app to visualize the data and some C code to work with the data. I'm opening my repo in case it would help anyone else. https://github.com/skybluecircles/driver-telematics-analysis Thanks, DW",0,None,1,Tue Mar 10 2015 04:20:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12754,/competitions/axa-driver-telematics-analysis,1040th
/jennyyuejin,Evaluation for Public LB Hanging,"When I make a submission, the file would finish uploading then the page would give an error at the public leaderboard score evaluation stage. When I go to ""my submissions"", the submission would have a score of ""pending"", and it has remained pending for the past hour or so. Is this happening to anyone else? Admins, please fix this soon as the competition is coming to an end. Many thanx in advance! JJ",0,None,2,Tue Mar 10 2015 07:51:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12755,/competitions/datasciencebowl,462nd
/ctsats,Error in the reported rankings for 2 past contests,"Hi all, Routinely checking my Kaggle user page today, I discovered that my teams' rankings at 2 past contests appear wrong: - In Online Product Sales, we appear as 40/363, instead of the correct 36/363, affecting also the ""top 10%"" badge (contest private leaderboard [Link]:http://www.kaggle.com/c/online-sales/leaderboard/private). - In Heritage Health Prize, we appear as 98/1353, instead of the correct 112/1353 (contest private leaderboard [Link]:http://www.heritagehealthprize.com/c/hhp/leaderboard) These errors appear also to my teammates' user pages. Sampling some users from the private leaderboard of the first contest mentioned above, I found that their rankings, too, appear erroneously in their respective user pages. Will you have a look, please? I have also filed a bug report... Thanx in advance",2,bronze,10,Tue Mar 10 2015 12:04:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12756,None,None
/pros22su,Results after a competition,"Hi, I am new to Kaggle and didn't find the information about what happens after the competition ends. Will Kaggle / AXA publis the correct results so everyone can check and improve their solutions to get knowledge.",0,None,3,Tue Mar 10 2015 13:27:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12757,/competitions/axa-driver-telematics-analysis,1191st
/jiweiliu,Tutorial Part 2: where is cython used?,"Hi, I have a silly question. Where is cython used in tutorial part 2? it runs pretty fast so I guess cython works. is it imported in gensim? Thank you very much.",0,None,3,Tue Mar 10 2015 16:03:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12758,/competitions/word2vec-nlp-tutorial,None
/bgeier,phase-plane graph features,"Hi all, I'm trying to get a proxy measure of how a driver will oscillate their foot on accelerator. From Ramsay and Silverman ""functional data analysis"" text it looks like we can infer this by plotting the first and second derivatives. In their words, the loops produced in the graph indicate system transfer from potential to kinetic energy. Ringing any bells? I have a routine for estimating smooth derivatives from speed (in matlab I have speed = gradient(x).^2 + gradient(y).^2). However, I'm having trouble locating code to summarize each loop. Has anyone seen code to summarize a phase-plane graph? The features would go something like: - number of cycles (loops..) - cycle radius - cycle center - cycle shape I'll post an image later this evening that shows example looping.. Thanks! -Brian",1,bronze,1,Tue Mar 10 2015 17:45:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12759,/competitions/axa-driver-telematics-analysis,452nd
/vkbinfo,Difficulty Inviting an Individual to Team,"Hi there, I’m having trouble inviting my friend to join my team. We have confirmed that he is indeed competing as an individual at the moment and is not a member of another team. I sent him an email to join my team using the form here: http://www.kaggle.com/c/march-machine-learning-mania-2015/team/leader. He has since received an email with the following: You are already in a team and have made submissions to this competition.(To protect your privacy, we did not make the person who invited you aware of this)If you wish to join team …, you will need to ask vkb3 to resend the invitation as a team merger request, which will bring your existing submissions with you to the new team. However, as far as I understand, this isn’t a team merger (which the rules page only allows under particular circumstances). If I should direct my inquiry elsewhere, please let me know. Thanks in advance!",0,None,6,Tue Mar 10 2015 19:27:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12760,/competitions/march-machine-learning-mania-2015,32nd
/tangy1994,Approaching the problem,"Hi, It would be great to get some guidance on this problem since I've not really worked with image classification before. I read up on the topic(went through some old Kaggle Competitions/research material) and gathered that the following approach should be feasible: Preprocessing Images: Converting Colospace,Scaling down images, Data Augmentation, ZCA Whitening, PCA Classification : Since the data is massive, I doubt it would fit in 16GB RAM unless its really scaled down which would then be a trade off for poorer features. So an Online CNN seems to be the best way to go about it? Or am I mistaken in which case RFs can be considered? What are your suggestions. Am I on the right track? Thanks",1,bronze,4,Tue Mar 10 2015 20:52:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12762,/competitions/diabetic-retinopathy-detection,None
/datalover256074,CNN + Caffe,Hi in the last few days I switched to use Caffe for CNN. The problem now is how to get predictions? I know there is another post about probabilities but it wasn't helpful for me. any one has easy to follow python code to get probabilities from caffe for this competition and like to share it? thanks in advance,0,None,12,Tue Mar 10 2015 22:46:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12765,/competitions/datasciencebowl,282nd
/viking1,New Entry,"Hello, I am a new entrant, I am new in machine learning field, I have generated texture ,shape and wavelet features and predicted the outcomes for test set can someone please make my submission and let me know the score as new entries are closed i cant make the submission [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65932/2075/submission.rar",0,None,2,Wed Mar 11 2015 04:55:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12766,/competitions/datasciencebowl,None
/pengpai,How could I visualize what my CNN learns ?,"Hi, guys, there has been a topic already in the forum that may competitors show the filters which middle layers of their CNN have learned. I have asked how but no one replied. Here is my question: suppose that I have resized each training image into 64x64, and set the number of 1st convolutional neurons to 32, the kernel size is (3, 3), with stride = 1 and no zero-padding. Thus, my first Conv layer will output 32x62x62. Then How can I visualize what CNN learns such as edges just like some papers have presented ? ps: When I google I found this link may be useful http://deeplearning.net/tutorial/utilities.html#how-to-plot , has anyone ever used it ?",2,None,4,Wed Mar 11 2015 06:22:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12768,/competitions/datasciencebowl,191st
/jeffsonas,Preparing for Stage 2!,"We are getting close to Selection Sunday - only four days away! Once the pairings are announced on Sunday afternoon, you will only have a few days in which to produce your final pre-tournament submissions. Remember that you will be able to upload multiple submissions, although you can only select two of them to count in the contest. Don't forget to go in and select which two you want! There will be more instructions about how to do that as we get set up for Stage 2. However, if I were in your shoes, I would be getting nervous about the turnaround time once the regular season is done, and the regular season data files for 2015 are made available, and I needed to prepare my submissions and get them in the right format. To help you in this, I am providing as attachments to this post, some sample files, to help you get ready. (1) A file ""regular_season_results_2015_prelim.zip"". This zip file contains two csv files: (1a) A file ""regular_season_compact_results_2015_prelim.csv"". This is a preliminary version of the 2015 regular season ""compact results"" dataset (i.e. with just final scores, and no other stats), although of course it doesn't include the entire regular season yet, since the season is not complete. This file only includes games up through daynum 125 (which is this past Sunday). There are a few of these games that might have their final scores slightly corrected in the final dataset (right now my sources disagree on the final scores of a few games, so I have to resolve those by the weekend), but otherwise it is complete and correct. (1b) A file ""regular_season_detailed_results_2015_prelim.csv"". This is the 2015 version of the regular season ""detailed results"" dataset, i.e. with the team-level stats for each game rather than just the final score. It contains the same 5,164 games that the preliminary ""compact results"" file does, i.e. just through daynum 125. (2) A file ""example_tourney_2015_prelim.zip"". This one contains five files with hypothetical data, and certainly requires some explanation: I went to a reputable [Link]:http://espn.go.com/mens-college-basketball/bracketology/_/iteration/253 and prepared some example 2015 files assuming that those tournament seedings are perfectly predicted (i.e. that the ESPN writer is correct about who the #1 seeds will be, who the #2 seeds will be, etc., along with which region they are in, and thus what the pre-tournament bracket will look like. Of course, this won't happen in real life, but it does give you an advance preview of what the file formats will be. They are a little different than Stage 1, because the season is now ""2015"" and there is only one year's worth of tournament matchups to predict, so there will only be 2,278 records in the submission file. So within the zip file, there is a file ""tourney_seeds_2015_prelim.csv"" matching the seeds in that ESPN link I provide above. Once Selection Sunday happens, and the real pairings are released, we will give you a real ""tourney_seeds_2015.csv"" file in this same format, but with the real team seeds listed. In addition, one of the things we will learn on Selection Sunday is where the four play-in games are, within the bracket. Probably there will be two play-in games between #16 seeds, and two play-in games between stronger double-digit seeds, but I don't know this for sure. In any event, after the bracket is released, we will finally know what the list of 67 tourney_slots are. So as an example, I am providing a file ""tourney_slots_2015_prelim.csv"" matching the bracket in that ESPN link I provide above, with the four play-in games correctly located per the example. And of course, once we know the 68 teams, we can make the master list of the 2,278 different matchups you must make predictions for. This is found by taking all combinations of two different teams playing each other, where the team #1 ID is less than the team #2 ID, and then concatenating the season and ""_"" and team #1 ID and ""_"" and team #2 ID to get a 14-character identifier that uniquely identifies one of those 2,278 possible matchups (that is 68*67/2). As an example of a 2015 submission file, this example zip includes a file ""sample_submission_2015_prelim_all50pct.csv"" which lists out the 2,278 possible matchups for this extended example, and predicts 0.50 for each of them. As a slightly more sophisticated example, I also used the simple ""seed benchmark"" approach, seen already in stage 1, where the prediction is 0.50 + 0.03 times the difference in seeds, so for instance a #2 seed against a #10 seed would get a 74% prediction (that's 0.50 + [0.03 * 8] = 0.74). This ought to do better than the 50 pct predictions, and I have included a file ""sample_submission_2015_prelim_seed.csv"" which lists out the 2,278 possible matchups for this example, and makes the seed-based prediction. And finally, to continue the example to its logical conclusion, I used that ""0.50 + 0.03 times seed difference"" formula to simulate a complete tournament from these pairings. That tournament had these results: Play-in games:W16: W16a Lafayette (1248) defeats W16b Manhattan (1264)Y11: Y11a Temple (1396) defeats Y11b Texas (1400)Y16: Y16b TX Southern (1411) defeats Y16a Montana (1285)Z12: Z12a BYU (1140) defeats Z12b Indiana (1231) Round 1:R1W1: W01 Virginia (1438) defeats W16a Lafayette (1248)R1W2: W02 Kansas (1242) defeats W15 Northeastern (1318)R1W3: W03 Maryland (1268) defeats W14 Albany NY (1107)R1W4: W04 Baylor (1124) defeats W13 Valparaiso (1434)R1W5: W05 Arkansas (1116) defeats W12 Wofford (1459)R1W6: W11 Oklahoma St (1329) defeats W06 Georgetown (1207)R1W7: W07 Iowa (1234) defeats W10 VA Commonwealth (1433)R1W8: W08 St John's (1385) defeats W09 Dayton (1173)R1X1: X16 North Florida (1316) defeats X01 Duke (1181)R1X2: X02 Gonzaga (1211) defeats X15 Coastal Car (1157)R1X3: X14 New Mexico St (1308) defeats X03 Iowa St (1235)R1X4: X04 Utah (1428) defeats X13 UC Davis (1413)R1X5: X05 Wichita St (1455) defeats X12 SF Austin (1372)R1X6: X11 Boise St (1129) defeats X06 SMU (1374)R1X7: X07 San Diego St (1361) defeats X10 Mississippi (1279)R1X8: X08 Davidson (1172) defeats X09 Xavier (1462)R1Y1: Y01 Kentucky (1246) defeats Y16b TX Southern (1411)R1Y2: Y02 Wisconsin (1458) defeats Y15 Belmont (1125)R1Y3: Y14 C Michigan (1141) defeats Y03 Notre Dame (1323)R1Y4: Y04 Northern Iowa (1320) defeats Y13 Yale (1463)R1Y5: Y05 North Carolina (1314) defeats Y12 Louisiana Tech (1256)R1Y6: Y11a Temple (1396) defeats Y06 Butler (1139)R1Y7: Y07 Oregon (1332) defeats Y10 LSU (1261)R1Y8: Y08 Cincinnati (1153) defeats Y09 NC State (1301)R1Z1: Z01 Villanova (1437) defeats Z16 St Francis NY (1383)R1Z2: Z02 Arizona (1112) defeats Z15 NC Central (1300)R1Z3: Z03 Oklahoma (1328) defeats Z14 S Dakota St (1355)R1Z4: Z13 Georgia St (1209) defeats Z04 Louisville (1257)R1Z5: Z05 West Virginia (1452) defeats Z12a BYU (1140)R1Z6: Z06 Providence (1344) defeats Z11 Purdue (1345)R1Z7: Z07 Michigan St (1277) defeats Z10 Colorado St (1161)R1Z8: Z08 Ohio St (1326) defeats Z09 Georgia (1208) Round 2:R2W1: W01 Virginia (1438) defeats W08 St John's (1385)R2W2: W02 Kansas (1242) defeats W07 Iowa (1234)R2W3: W11 Oklahoma St (1329) defeats W03 Maryland (1268)R2W4: W05 Arkansas (1116) defeats W04 Baylor (1124)R2X1: X08 Davidson (1172) defeats X16 North Florida (1316)R2X2: X02 Gonzaga (1211) defeats X07 San Diego St (1361)R2X3: X11 Boise St (1129) defeats X14 New Mexico St (1308)R2X4: X05 Wichita St (1455) defeats X04 Utah (1428)R2Y1: Y01 Kentucky (1246) defeats Y08 Cincinnati (1153)R2Y2: Y02 Wisconsin (1458) defeats Y07 Oregon (1332)R2Y3: Y11a Temple (1396) defeats Y14 C Michigan (1141)R2Y4: Y05 North Carolina (1314) defeats Y04 Northern Iowa (1320)R2Z1: Z08 Ohio St (1326) defeats Z01 Villanova (1437)R2Z2: Z02 Arizona (1112) defeats Z07 Michigan St (1277)R2Z3: Z03 Oklahoma (1328) defeats Z06 Providence (1344)R2Z4: Z05 West Virginia (1452) defeats Z13 Georgia St (1209) Round 3 (Sweet Sixteen):R3W1: W05 Arkansas (1116) defeats W01 Virginia (1438)R3W2: W02 Kansas (1242) defeats W11 Oklahoma St (1329)R3X1: X08 Davidson (1172) defeats X05 Wichita St (1455)R3X2: X11 Boise St (1129) defeats X02 Gonzaga (1211)R3Y1: Y01 Kentucky (1246) defeats Y05 North Carolina (1314)R3Y2: Y11a Temple (1396) defeats Y02 Wisconsin (1458)R3Z1: Z08 Ohio St (1326) defeats Z05 West Virginia (1452)R3Z2: Z03 Oklahoma (1328) defeats Z02 Arizona (1112) Round 4 (Regional Finals):R4W1: W02 Kansas (1242) defeats W05 Arkansas (1116)R4X1: X08 Davidson (1172) defeats X11 Boise St (1129)R4Y1: Y01 Kentucky (1246) defeats Y11a Temple (1396)R4Z1: Z08 Ohio St (1326) defeats Z03 Oklahoma (1328) Round 5 (National Semifinals):R5WX: X08 Davidson (1172) defeats W02 Kansas (1242)R5YZ: Y01 Kentucky (1246) defeats Z08 Ohio St (1326) Round 6 (Championship):R6CH: Y01 Kentucky (1246) defeats X08 Davidson (1172) Again, please note that I did no useful analysis here; this is just an extended example based on very simplistic simulations, to demonstrate exactly how Stage 2 will work and what the file formats will be. I used the seed formula to randomly select the winner of each slot, and you will notice, for instance, that it simulates the first-ever ""#16 over a #1"" upset in the history of the men's Division I tournament! The simulated results of these 67 games are captured in an example file ""solution_2015_prelim.csv"", also within the zip file. Of course, you will NOT be given a file like this, since we won't have it until the end of the tournament. But it is kind of similar to the file we will be using internally to track the progress of the tournament after each day, as we update the leaderboard. I am mostly providing it here just to give you an idea of the scoring structure, and to help you understand the workings of the scoring system. The solution file also includes 2,278 records, but remember that only the 63 results (corresponding to the games among the final 64 teams) will count toward your score. We ignore the four ""play-in"" games because the time window where you can make your contest submission overlaps with when the play-in games happen, so of course we don't want those games to count in your score. So for instance, in this solution file, there are 67 games with a result listed, but only 63 games with a usage of ""Actual"" rather than ""Ignored"". And so if you calculate the average binomial deviance across all 63 games that mattered, in this example you will find that the ""all 50 pct"" submission scores 0.6931471805599 (as it must, since this is what you will always get for any individual game when you predict 50%, no matter who wins). And for the seed-based submission, there are some big penalty games but overall it scores 0.6375679837165. I will also provide updated Massey Ordinals separately for the 2015 season, which looks to be much easier this year than last year because the weekly ordinals are easily extractable into CSV format from a link on Kenneth Massey's website. We will be posting more details about upcoming timelines, but hopefully these files can help your peace of mind as we enter the final week of the contest and you turn your thoughts (and your code) toward the 2015 tournament. Happy analyzing! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65946/2076/regular_season_results_2015_prelim.zip [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65946/2077/example_tourney_2015_prelim.zip",6,silver,36,Wed Mar 11 2015 08:19:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12769,/competitions/march-machine-learning-mania-2015,142nd
/sashikanthdareddy,Problem Images,I found a few images which are just horrendous in quality. Thankfully they are extremely rare so should not impact your performance. Images attached. ps: there could be others but these are the ones my method found. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65950/2078/failedImages.7z,6,silver,4,Wed Mar 11 2015 11:37:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12770,/competitions/diabetic-retinopathy-detection,None
/pukkinming,How to determine whether it is a long or short trial?,"Although the competition has come to an end, I am very interested in this programming exercise. So my question is - how do you determine whether it is a long or short trial? My intuition is that the time for a long trial should be relatively longer than that of a short trial. By finding the difference between events (FeedBackEvent = 1), I can find the time taken between events. Furthermore, I think I should average the time for several events instead of using the time of each event one-by-one. So am I thinking in the right direction? Your feedback is very appreciated!",2,None,2,Wed Mar 11 2015 12:47:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12771,/competitions/inria-bci-challenge,None
/tjames,Sample Submission (9112 entires -2001-2014) vs 2278 match ups,"Hi, To be clear am I to submit at file with: 2278 entires (matchups) ID = 1104_1129 or 2014_1104_1129 ? or 2278 entries x 4 (2011 - 2014) ~ 9112 entries ? ID= 2014_1104_1129 Thanks",0,None,1,Wed Mar 11 2015 19:07:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12774,/competitions/march-machine-learning-mania-2015,338th
/jasonsumpter,Printable bracket for R,"I put this up last year and I think some people enjoyed it. At the very least it is a good idea to run your predictions through it just to make sure it looks correct. I used the seed benchmark, plus one little change. The attached R code doesn't have the colors or slogan, but I can dream for another week or so. I'm sure there is a cleaner way to do this, but it works. Just change your working directory at the top and place your predictions for this season in place of Jeff's sample submission. The seeds will have to be changed when Jeff gets them out Sunday or Monday. You can also change the target season if you want to see how your bracket looks against the results of past years. You'll have to change the seeds file there too. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65977/2080/bracket.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/65977/2081/seedbracket.pdf",8,silver,25,Wed Mar 11 2015 21:02:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12775,/competitions/march-machine-learning-mania-2015,113th
/ahfretheim,Speedy File Decompression,"This may be a lost cause, but it took me almost 3 days to unzip my 4.5 GB data .zip file for the competition I've just started and I was wondering if, for the future, anyone knows of a speedier tool for unzipping files than the basic file extractor built in to Windows 7?",0,None,2,Wed Mar 11 2015 21:22:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12776,None,None
/hanshupe,Creating regular time series from irregular time series (with data changes only),"I am using data from a sensor, that only sends the value if it has changed with the timestamp of the data change. The result looks for example like this: timestamp temperature10:17:66 3110:18:10 3010:29:30 3112:51:31 32 For some analysis, especially when I want to compare two time series I need equal timeintervals. For that purpose I would define a timeinterval like 10 minutes. I am not sure what is the best approach to calculate the values in that case in 10 minutes intervals. Let's say I want to calculate the value for 10:30:00. Between 10:20 and 10:30 most of the time the temperature was 30, so I surely have to weight that value higher than 31, which was present only for the last 30s. Is the best approach to calculate the integral here? Is there some R function, that can calculate regular time intervals in that way for me? I found the ""approx.irts"", which interpolates the values, but this is not the right way here I guess as I don't have missing values or times here?",2,None,4,Thu Mar 12 2015 18:50:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12788,None,None
/stevendu,Caffe? How to generate the prediction from caffe output?,"Hi, For those who use caffe, may I know which layer you used to generate the output? and how? and what is the difference between the loss value from caffe and leaderboard score? In my case, Caffe reports evaluation loss around 0.95, from a 0.8/0.2 split of training set. A) I have one submission from the softmax layer which seems contain only 1 and 0s , the loss from leaderboard is 28+ B) Then I submit result from the last layer before softmax, which contains both - and + numbers,(eg,-199,+855..) the loss is 9+ C) If I stretch B to [0,1], then loss is 4.5+ D) Maybe I should use C/sum(C) ? But evaluation plan=> they are rescaled prior to being scored (each row is divided by the row sum).. ...",0,None,4,Fri Mar 13 2015 04:44:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12791,/competitions/datasciencebowl,91st
/anubis2,External Data in Rules,"Hello to everyone, my question refers to section ""External Data"" present in ""Rules"". My question is: Can I use external tools (open-source obviously) in order to provide it an .bytes files and then working over the output generated by it? Thank you very much, See you soon",1,bronze,3,Fri Mar 13 2015 09:50:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12792,/competitions/malware-classification,None
/elizabethsusanjoseph,Please review my approach,"Hi all, In the first part of the project I formed my training data set to predict the objective of stage one of this competition. I have attached the screen shot of my training data set. the predictors are the win percentage in my regular season and the number of wins in the last six games in the regular season. I also used the seed rank of the particular team as one of the predictor variable. When I showed this approach of forming my training data to my friend. HE told that my approach is completely wrong and the first step in solving the problem is to do an Exploratory data analysis. so he advised me to do an EDA first. Can some one point out what is the mistake in my approach? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66089/2091/Capture.PNG",1,bronze,12,Fri Mar 13 2015 12:11:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12793,/competitions/march-machine-learning-mania-2015,None
/chi1300132,Regression model,"We use multivariate regression to the expected amount of rain. The significant parameters were hybridScan and reflectivityQC. However, the R-squared is low, so the model is actually bad. We were curious if someone also did the multivariate regression.",0,None,1,Fri Mar 13 2015 14:24:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12795,/competitions/how-much-did-it-rain,None
/elizabethsusanjoseph,What is exploratory data analysis and how can it be done effectively?,"Dear machine learning experts, I am new to data science and kaggle. I got an advice from an experienced data scientist that ""while doing any data science problem do an exploratory data analysis(EDA) to decide what features you should use as inputs to your model"". but I couldnt understand how to do an EDA after getting all the csv files( all the data). I am currently working on march machine learning mania 2015 competition. I use pandas and python and matplotlib for my data science problems. Thanks/ Susan Joseph",3,bronze,12,Fri Mar 13 2015 15:55:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12796,None,None
/wcukierski,Legal Name Reminder,"This is the first of several reminders to set your legal name (in the ""Account"" tab on your Kaggle profile): Your Kaggle profile must contain your complete and lawful legal name in the ""Legal Name"" field of your account prior to the start of the 2015 tournament. Prizes will only be awarded payable to the legal name on your Kaggle account, collected before the tournament begins. Your legal name is not publicly displayed. If your legal names is ""asdf1234"" at the time of the Stage 2 submission deadline, we will not consider you for the prizes!",3,bronze,5,Fri Mar 13 2015 17:13:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12797,/competitions/march-machine-learning-mania-2015,None
/adjgiulio,Has this been the most dominant Kaggle performance ever?,"I thought about postponing this question to after the competition is over, because obviously this could change on the Private LB. But Cardal's performance has been so dominant that, regardless of the final outcome, it's worth acknowledging. The guy has reached .96 a month earlier than anybody else, has made a total of 5 submissions, and seems like he can improve at will. I do not recall anything like this in Kaggle history.",4,bronze,53,Fri Mar 13 2015 17:18:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12798,/competitions/axa-driver-telematics-analysis,98th
/amruta,"UnicodeDecodeError in WordtoVec for the ""review_to_sentences"" function","Hi all, So , i was trying to follow and implement the code for the wordtovec part of the project. I am stuck with this UnicodeDecodeError in the ""review_to_sentences"" function for the line : raw_sentences = tokenizer.tokenize(review.strip()) Did anyone face a similar error ? If yes, please help ! Thank you !",0,None,3,Fri Mar 13 2015 18:25:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12799,/competitions/word2vec-nlp-tutorial,None
/srt19170,Please Steal My Entry!  (Ensemble Thread),"In many domains, [Link]:http://en.wikipedia.org/wiki/Ensemble_learning -- combining several independent models -- can improve prediction performance. I'm curious about whether that is true for predicting the NCAA Tournament. This year's rules allow competitors to use any sort of external data -- including another competitor's predictions -- so there's a little more room for experimenting with some ensemble approaches. We're also allowed two entries, so you can use your second entry to experiment and still keep your best individual effort. To stimulate some ensemble experiments, I will (with permission from the judges) post my predictions in this thread before the contest closes. My entry finished 60th last year, and my predictor is top-rated at [Link]:http://www.thepredictiontracker.com/bbresults.php, so I believe my predictions will be competitive this year. I encourage you to make use of my entry any way you'd like. Some suggestions to spur your thinking: (1) Average my entry & your entry. If our entries both have some amount of random error, averaging them should tend to cancel out the error and produce a better prediction. (2) Take the minimum (or maximum) of both entries. Taking the minimum (maximum) of both entries is a way of reducing error if you think the predictions are overly confident (overly conservative). (3) Compare the point spreads for the first 32 games to both entries and use that to guide how you combine the entries. The point spread represents the best guess at ""truth"" for game prediction, so you can use that to help decided how to combine the entries. (4) Identify the games where the entries show the biggest differences in predictions and use that to guide how you combine the entries. If the entries mostly disagree on games between high seeds and low seeds, but are closer on games between similar seeds, maybe you can use that information to build a better entry. (Truth in Advertising Disclaimer: I will randomly perturb the entry I post here in the hundreds place so that if someone enters it unchanged it won't tie with my own entry. This should not greatly affect the final score.) I'd also like to encourage other competitors to post their entries to this thread as well to help create a rich environment for ensemble experiments.",19,gold,61,Fri Mar 13 2015 19:21:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12801,/competitions/march-machine-learning-mania-2015,42nd
/udatta,"Anyone getting ""parallelizing error"" for scikit learn based models in python?","I am getting the following error:Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect you main loop using ""if __name__ == '__main__'"". Please see the joblib documentation on Parallel for more information. ....I added the if__name== ....part as suggested but the results are only a small subset of all the test labels (approx 200)....... Can anyone help? Thanks a lot!",1,None,6,Fri Mar 13 2015 19:33:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12802,/competitions/malware-classification,206th
/abhishek,Fast Image Resize Script,"Hi All, Attaching a fast image resize script (in case anyone needs it :)) Takes 40mins to resize all images (train+test) to 96x96 on 32 cores. Vote up if it helped ;) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66144/2092/fast_resize.py",20,silver,3,Fri Mar 13 2015 20:50:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12803,/competitions/diabetic-retinopathy-detection,248th
/ashhafez,Handling the Unknown classes,"Hi all - Has anyone played with training their model without the Unknown classes, then post-processing the resulting predictions to shift weight to an appropriate Unknown class if there isn't a clear enough winning predicted class? ash",1,bronze,2,Fri Mar 13 2015 21:36:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12804,/competitions/datasciencebowl,83rd
/enderdai,"test.csv and leaderboard score ""1.000""","test.csv provided by Kaggle is not labeled, i.e. no column named ""Survived"", therefore we must submit our prediction to kaggle in order to get the score. The enforced ""10 submissions per day"" is pretty anonying to me, so I managed to find the labeled data on web (http://biostat.mc.vanderbilt.edu/wiki/pub/Main/DataSets/titanic3.csv) so I can validate on my local machine. I submitted a prediction made from the source mentioned above to see whether it matchs the data hold by kaggle. They turn out to be exactly the same. Just in case if you are wondering why the score can be ""1.0"", and I hope the labeled data can make your life easier, not for leaderboard, but for convenience.",2,None,7,Sat Mar 14 2015 08:14:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12807,/competitions/titanic,None
/del=444c9806405403bd,Features you should try!,Can I share some features I made?,1,bronze,10,Sat Mar 14 2015 11:37:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12808,/competitions/axa-driver-telematics-analysis,None
/dirlt0,Python. scikit-learn. averaging GBRT and Random Forest. (0.37108),"main points are: 1. predict casual and registered count separately. 2. instead of predicting count, but predict ln(count+1), because evaluation is RMSLE 3. parameters of random forest are n = 1000, min_samples_split = 11(if use RF only, score is 0.38149) 4. parameters of GBRT are n = 100, max_depth = 6(if use GBRT only, score is 0.37200) 5. by averaging RF and GBRT, we get better result(0.37108) Another thing I want to share is, it's very important to choose validation set(for choosing parameters, for seeing how well our model works). At first I use scikit-learn built-in KFold implementation to do cross validation. But then I find maybe it's much better to choose time contiguous samples as cross validation set, because the pattern is much close to the pattern in test set. In my code, I choose validation set by day. For example, train samples which day is in [1~9, 12~19], validate sample which day is is 10,11. I don't do much feature engineering. I think by carefully transforming and combining some features, maybe I get better result. Here is the [Link]:https://github.com/dirtysalt/tomb/blob/master/kaggle/bike-sharing-demand/pub0.py for your reference.",15,silver,6,Sat Mar 14 2015 16:25:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12809,/competitions/bike-sharing-demand,78th
/keelerrussell,Team DEFT mistake,"Hey competition admins, I'm one of the members of Team DEFT. In my rush to get something in for Phase 1 before the deadline, I made a mistake in my R script such that it incorporated future knowledge in the model. This is obviously against the rules, but I only realized my mistake after I made the submission that put us in 1st place. I wanted to be as forthcoming as possible about this, but I don't know how to get in touch with admins directly. I would take down the submission itself, but I don't know how to do that, either. Seemed like my best option to communicate was through the forum. Can anyone help me correct my mistake? Thank you, and sorry in advance for the hassle.",0,None,4,Sat Mar 14 2015 19:48:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12810,/competitions/march-machine-learning-mania-2015,None
/xshichen,scored 0.68 without machine learning packages in R,"Hello everyone, I am new to data science, and I try to learn how to deal with these data problems. I started too late for this competition, it is almost the deadline, however if you could give some suggestions for my non-data scientist approach, I will be very thankful. What is particular in this competition is that there are only 2 variables and we know their significations. So I tried to build features with some physics concepts. I have several questions could you please help me to answer : - can we solve a probleme without the concept of train and test data ? can we build an algorithm without knowing the concept of supervised problem or unsupervised problem ? or in fact, I used some very basic statistical notions to find the wrong drivers. - Do you use some softwares to explore data ? For example kibana. The problem in R is that graphics are not interactive (I tried to find some packages, but I didn't succed), some it is not easy to find quickly coordinates. and if there are a lot of data, it is slow. - I used some very simple features based on speed, acceleration and curvature of the roads. for speed features, I tried to think about the reality : there are several kinds of roads, and I defined their limits by experience (below 50km/h in cities, arround 120 km/h for high ways). What conept of machine learning can help us to find these values ? In fact, we can't really see modes in a histograms. - In the contrary for acceleration, I discovered that there are several significant modes for a lot of drivers. What do you want to do when you see these features ? In fact at the begining, I tried to find and compare modes. Then I defined several intervalles to deal with them seperately as for speed. - when we have these features, how can we use them ? which machine learning methode can we consider ? My consideration is very simple : more the feature value is different from the average, more we can consider that it is the wrong driver. of course, if there are 2 means, it does work. That is why I tried to find intervalles. I will be very glad to receive any suggestions, criticism about my approach to this problem, about how to better code, about useful packages in R or any big data software, about any thing else. Thank you [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66217/2095/1_main.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66217/2096/2_features.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66217/2097/0_load.R",0,None,2,Sun Mar 15 2015 02:17:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12813,/competitions/axa-driver-telematics-analysis,None
/asimkievich,anyone interested in sharing which models perform best?,"hi there, on my features, gradient boosting classifier performs best, then logistic regression (following supervised approached discussed at lengths in the forum). Also, the ensemble of logistic regression and gbc did not provide the boost I was expecting - improved AUC but not by much. Random forests does not perform well. Only 5 subs to go, hope I can pull out a miracle (about +0.10 in AUC). AUC not that good, close to .80. SVM useless on my end. One kaggler mentioned that it is better to pull negative examples from many drivers as opposed to using all trips from only a few drivers - gotta try that tomorrow. I wonder if anyone feels they can share some insights - models to try.",0,None,27,Sun Mar 15 2015 05:24:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12814,/competitions/axa-driver-telematics-analysis,507th
/unas252547,Please delete.,Admins please delete.,7,silver,30,Sun Mar 15 2015 08:24:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12816,/competitions/datasciencebowl,113th
/nicolaykorslund,What image sizes are you using?,"It's pretty much a given that you have to down-scale the images in this competition (they are huge!) - but to what size? Smaller images of course means faster training (less computation, memory usage etc), but of course also loss of quality. Just from manual inspection I feel than anything smaller than 100x100 starts losing too much information to be useful, though I could be wrong. Does anyone mind sharing their thoughts on this issue?",4,bronze,3,Sun Mar 15 2015 15:27:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12817,/competitions/diabetic-retinopathy-detection,None
/xueerchen,Visualize malware patterns,"Hi there, I'd like to share some fun I had mining this data. Believe it or not. Malware has very fine texture patterns or even signature from the authors! Check the attached two figures and tell me it is not intentional? :} You can easily draw them by treating bytes as pixel intensities. Please share your thoughts on how to further exploit it. Thank you very much! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66237/2098/5764RnJYTirWq1utgdkN.bytes.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66237/2099/2DBKbxPnVCyiLzqAHU9c.bytes.jpg",51,gold,30,Sun Mar 15 2015 16:09:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12818,/competitions/malware-classification,1st
/alexandrebarachant, The Overfitting Avengers Solution & Code ,"Hi, You can find our code and documentation on [Link]:https://github.com/alexandrebarachant/bci-challenge-ner-2015. In short, we used a special form covariance matrices as feature and tools from Riemannian Geometry to manipulate them. A channel selection algorithm was involved, and the classification was achieved by an ElasticNet classifier. The above pipeline was applied on a number of random subsets of subjects, and predictions are averaged across bagged models. The complete explanation of our model is provided [Link]:https://github.com/alexandrebarachant/bci-challenge-ner-2015/blob/master/README.md. We made two different submission. The first one does not make any use of the leakage information and satisfies an ""online processing"" constraint, which means that any trial performed by a subject can be classified without the need for future complementary data or information. The second model uses the leak, thus it is not online-compatible. The two models are built upon the same classification pipeline, but with parameters tuned independently to achieve the highest performance. The online model (no leak) got 0.85083 on Public LB and 0.84585 on Private LB The leak model got 0.85145 on Public LB and 0.87224 on Private LB. Any comments are welcomes ! Cheers, The overfitting Avengers :)",13,silver,17,Sun Mar 15 2015 18:39:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12819,/competitions/inria-bci-challenge,1st
/trevor21,Best python tutorial I've found,"https://dataquest.io I've been working through this one the past few weeks and it is specifically tailed towards python for data science! It is new, and still being improved, but overall I find it a great way to learn the basics of python. Just thought I'd share :)",7,None,9,Sun Mar 15 2015 19:10:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12820,None,None
/saketh2varma,Plot the digits using average of the corresponding pixels,"# Load the datasetwd("""")train <- read.csv(""train.csv"", header = TRUE)df <- train[0,] # Compute the Average of Pixelsfor(i in 0:(length(unique(train$label))-1)){ digit = i temp <- train[train$label==digit,] df <- rbind(df, t(round(colMeans(temp))))} #Plot the images using the pixel valuespar(mfrow=c(2,5))for(i in 1:nrow(df)){ n = matrix(as.numeric(df[i,2:ncol(df)])/256,28,28,byrow=TRUE) image(n, axes = FALSE, col = grey(seq(0, 1, length = 256)),xlab=df[i,1])} [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66275/2102/image2.png",1,None,1,Sun Mar 15 2015 21:36:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12822,/competitions/digit-recognizer,None
/philippkostuch,Un-informative trips,"Now that it does not matter anymore, i was wondering whether people are willing to share what they do with uninformative trips - there is about 3-4% of trips that never go further than 30 meters from the starting point...so there is very little to be learned from their features in terms of classifying them. We tried setting them all to 0, all to 1 and even some more fancy stuff...but none of it helped. So, we do wonder how others have dealt with them?",0,None,2,Mon Mar 16 2015 08:08:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12823,/competitions/axa-driver-telematics-analysis,52nd
/buzzlightyear,Implementation for 0.45 score,"Dear folks, To me, it doesn't make sense to share code that bring you in the top 10% in a Kaggle competition. I can understand if you do that after the competition ends, it would be a way to improve. But in this way, it's a good chance to let lazy people to copy and paste your code and get the first positions. And this is not fair for people who just want to compete without tricks. I think it is useful to share strategies and some hints, a nice tutorial as well. Those are effective chances to learn and improve for me and others like me. But if it's all about a bunch of ""professors"" who share their amazing code and others who copy and paste this code, the competition (and the interest for such kind of competitions) stops. This is my opinion. What do you think about that? Have a nice day! (PS: I also have job and family, I spend weeks/days on doing that because I love ML and hope to find a job position where I can apply ML methods. It's frustrating to be worst of somebody who's only copying and pasting ""professors""'code)",28,gold,57,Mon Mar 16 2015 08:58:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12824,/competitions/datasciencebowl,289th
/vinodbalavel,Dataset,"Unable to view the images after downloading. Message is displayed as ""the archive is either in unknown format or damaged"". Anybody who can help me get the datasets?",2,None,10,Mon Mar 16 2015 10:02:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12825,/competitions/diabetic-retinopathy-detection,None
/qiang2," Need Help:Could anyone who get high scores share your results file ""Submission.csv""  to me?","hi, dear all, I am just learning machine learning, and know this ""Driver Telematics Analysis ""project one week ago. Then I design and programming several schemes on the base of my own ideas, and has obtained with preliminary results. But now the ""Driver Telematics Analysis ""project has been closed almostly, because close to the cut-off point. In March 9th, Kaggle prohibit the new documents submittion, so I cannot know the score of my different kinds of scheme .This let me cann't do more optimization. I participate in this project only to learn konwledge and gather experience, do not participate in this project. So, I need help, only need your high accuracy result .csv file (above 0.95 better), I will compare the two CSV file and optimize my algorithms for get a higher score and find the best method for this kind of machine learning problem. Thank you in advance! -Qiang (SHANGHAI , CHINA)",-8,None,12,Mon Mar 16 2015 10:28:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12826,/competitions/axa-driver-telematics-analysis,None
/jeffsonas,Tracking tournament results,"I am not quite sure what this topic will turn into, and it's a little premature for it, but nevertheless I wanted to get one more file out to people. I am calling the file ""tourney_entry.xlsx"", and it is a file you can use for easily entering the results of tournament games as they happen, and then producing a solution file. Mostly this will be useful for us internally at Kaggle, as we update the leaderboard whenever we get results, but you may also find it handy for your own purposes. In the attached Excel spreadsheet, there is a tab called ""results"" with 67 data rows corresponding to the 67 games in the tournament (represented by ""slots"" in our terminology). As the tournament progresses, you can go into column G and enter either a 1 (if the team on the left won) or a 2 (if the team on the right won). There are formulas all over the place that are calculating things and looking up things, and eventually it leads to the ""solution"" tab that identifies all the results, which you can either use to copy cells and paste into a text editor, or you can just save that tab in Excel as a csv file, I think. To play around with this file, go into the results tab, start at cell G2, and just go down the list entering 1 or 2 in each cell from G2 through G68. It will recalculate the appropriate matchups, listed in columns E and F, for each slot. And if I did everything right, then the ""solution"" tab should update for each of the 2,278 rows accordingly. It will give you ""-1,Ignored"" if the matchup never happened, or ""X,Ignored"" (where X is zero or one) if the matchup happened in a play-in game, or ""X,Actual"" (where X is zero or one) if the game did happen. If X is 1, then the lower-id-team (the first one listed) won the game, whereas if X is 0, then the higher-id-team (the second one listed) won the game. There are also some hidden tabs (which you can reveal by right-clicking on a tab and selecting ""Unhide...""), and I have used cell protection throughout to keep you from messing up my formulas. But you can unprotect any of the tabs you want, with a password of 64. Note that I developed and used this in Excel 2010, and I haven't tried it in any other versions. It probably works fine in them because I'm not really using anything very high-tech other than formulas. If anyone finds problems with the spreadsheet, maybe we can repost it on this forum topic. Or if people develop additional resources, you can add them to this topic as well. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66354/2121/tourney_entry.xlsx",1,bronze,37,Mon Mar 16 2015 11:33:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12827,/competitions/march-machine-learning-mania-2015,142nd
/hroark,R script to parse training and test files,"I made a little R script to bring in the training and test files, split them into one row per radar observation, and then find and number the radar observations that were from the same radar within each original id. From here I've found it pretty easy to make whatever features I want for model building. (I'm still learning R, so any feedback is of course appreciated) Cheers, Hank library(reshape2)library(splitstackshape)library(data.table)file = read.csv(file=""train_2013.csv"", header = TRUE) #split all the columns that need splittingcolsToSplit = colnames(sample)[2:19]split = cSplit(file,splitCols=colsToSplit,sep="" "",direction=""long"", fixed=FALSE, makeEqual = FALSE) #make a data tabledt = data.table(split)setkey(dt,Id)# find everytime new radar set starts, using time inversion or radar distance change# as indicator of radar changesdt[,TimeToEndInversion:=c(1,(sign(diff(TimeToEnd))+1)/2),by=Id]dt[,NewDistanceToRadar:=c(1,abs(sign(diff(DistanceToRadar)))),by=Id]dt[,NewRadarIndicator:=TimeToEndInversion | NewDistanceToRadar] # Now just cummulative sum of previous rows in group to incrementally number the radarsdt[,RadarSeries := cumsum(NewRadarIndicator),by=Id]",12,silver,11,Mon Mar 16 2015 14:55:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12828,/competitions/how-much-did-it-rain,196th
/abhishek,beating the benchmark: LB Score 0.94,April Fool in advance :P :P,9,silver,6,Mon Mar 16 2015 17:10:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12831,/competitions/axa-driver-telematics-analysis,13th
/juanjosedambrosio,I definitely won!,"TL; DR: my score sucks but I learned a LOT! BIG thanks. Ok, my LB score is 0.75 and I’m in the 692 place. But three months ago I didn’t even know what machine learning is. All started with the course Practical Machine Learning, then I made all the programming work of the Andrew Ng’s Machine Learning in a week (yes, no life).A month later (by february 11) by chance I found this competition on kaggle and given the kind of data I found I can actually make a try. I said that because, I must confess, I’m poor (oh the horror! oh the shame!) and I have only two pentium dual core machines with 2 GB RAM… so poor I don’t have a credit card (forget about the free aws or azure). So, I can’t even think in huge databases, and this one is a big enough (32GB) but in 2700 littles chunks.I’m a regular python programmer and I worked with MATLAB in the university (soooo many years ago), but as I loved R in the Practical Machine Learning course, I decided to try this challenge with R. In few words, a total newbie in machine learning and in R without computation power, poor understanding of telmetrics, and only a month to work in the problem… can’t be good.However, was amazing! I learnt a lot of R! and now I love R as I love python. I have the taste of a real machine learning problem. In order to make computation times shorter (from +24hs. to 8 or so) I use PELICAN HPC to make the cluster, but I as I need to customize it (to include R) I learn a lot of the Debian Live. And after make the the cluster, I learned how to parallelize the programs. For a month, I think is a big win!But, I think, the best was to find a community like kaggle, where the competitors aren’t rivals. What a nice surprise find all the help in the forums, all the sinergy. Thanks for the help!All the best, folks!",22,gold,6,Mon Mar 16 2015 17:31:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12832,/competitions/axa-driver-telematics-analysis,669th
/commodore,I missed the deadline.  Can I still submit to see how I do?,"I missed the deadline for the historical games, but was still able to post my predictions to see how my model faired compared to the rest of the submissions. Even though I'm not eligible for any prizes, can I still submit my predictions for the actual tournament? If so, where and how would I do so? Sorry if this is a dumb question, but this is my first competition.",0,None,2,Mon Mar 16 2015 18:24:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12833,/competitions/march-machine-learning-mania-2015,238th
/wcukierski,Stage 2 (2015 Tournament) is live!,"You can now download the 2015 data from the data page. The following files were added: regular_season_compact_results_2015.csv: This file is formatted identically to the regular_season_compact_results.csv file, and contains only results from the entire 2015 season. regular_season_detailed_results_2015.csv: This file is formatted identically to the regular_season_detailed_results.csv file, and contains only results from the entire 2015 season. tourney_seeds_2015.csv: This file is formatted identically to the tourney_seeds.csv file, and contains only the tournament seeds for the 2015 tournament. tourney_slots.csv: This file is formatted identically to the tourney_slots.csv file, and contains only the tournament pairings for the 2015 tournament. sample_submission_2015.csv: This file is properly formatted for submission for the 2015 tournament, containing the necessary 2,278 rows that you will need to make predictions for. It is similar to the submission files you would have used for stage 1, except that it is only for the 2015 season. The predictions in this file are always 50% for every game. From here, you have unlimited submissions until the deadline on Wednesday. Your submission is in the correct format if it parses and scores 0 for the public and private score. You must select 2 of your submissions to count towards the finals. Do not rely on Kaggle to automatically select the 2 for you! There is no public leaderboard score from which to select. You will not be happy if leave it to the system to pick for you! Good luck!",4,bronze,7,Mon Mar 16 2015 20:16:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12834,/competitions/march-machine-learning-mania-2015,None
/jeffsonas,What have we learned about college basketball?,"This is another post that may be a bit premature, since you might be reluctant to share insights that others can still incorporate into their predictions. Nevertheless I am very interested to know if anyone learned anything interesting about college basketball from the experience of developing and optimizing your prediction models. One reason I'm asking for this, is that we are always trying to drum up interest in the contest via journalists. But one frequent question is: ""What interesting things have you learned from the contest?"" And unfortunately the answer always has to be, umm, I would love to give you an answer but I will need to wait until the submission deadline is over, or maybe even the tournament is over, and then hopefully people will share details about their successful methodology. I would much rather be able to say something like ""we figured out that travel distance is a huge factor for the second weekend"" or ""one of our competitors figured out that double-digit seeds that advance out of the first round are almost always teams that really take care of the basketball"", or whatever. So if there are any nuggets that can be shared, either right away, or once the submission deadline has passed, I would love to know about them!",1,bronze,12,Mon Mar 16 2015 20:29:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12835,/competitions/march-machine-learning-mania-2015,142nd
/zachmayer,Locations (tourney_slots_and_geog.csv and team_conf_and_geog.csv),"I've got 2 sets of location data I've been using in my models: tourney_slots_and_geog.csv team_conf_and_geog.csv I think team_conf_and_geog.csv is all set for 2015, but tourney_slots_and_geog.csv is missing 2015. Does anyone have an updated version of this file they can share? It seems like the simplest way to add locations to the 2015 tournament games. Also, was the original version of this file correct? There was some discussion of correcting old location files, but I couldn't tell if they applied to the locations in THIS file.",0,None,15,Mon Mar 16 2015 22:05:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12836,/competitions/march-machine-learning-mania-2015,118th
/songgc,"GPU computing cost (Amazon rental, electrical bills, etc.)","This is my first deep learning project. Besides I gained a lot of experience, I have found relatively high cost associated with GPU computing. My GPU (GTX 980) started working since Feb, which would cost me $120 ~ 180 in electrical billing. By normalization by 6 weeks, $3~4/per day.",3,bronze,9,Mon Mar 16 2015 22:30:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12837,/competitions/datasciencebowl,14th
/zerozero,caffe training curves,"Hi all, this comp is pretty much winding down and I want to give some kudos to all the strong competitors out there. Attached is my training curves for a Caffe model that I made. The validation is 25%, taken out prior to any data augmenting. I am quite happy with it as I muddled all on my own the last few days...not enough time to make anything competitive but a good learning experience. I thought I had the prediction aspect nailed but every submission has been clearly malformed. I hope to learn from anyone else after the comp if they had any good ways to predict in Caffe. I am using hdf5 data. I also will share my python script used to make my plot...it's very hacky but mostly works. I'm sure many of you use something similar but for those who don't, here it is. when training caffe: ./build/tools/caffe train -solver /.../solver_hdf5.prototxt -gpu 0 >> /.../output.txt 2>&1 to get the plot: python progress_plot.py /.../output.txt because the training line will append to output, if you ever encounter errors you may need to manually edit output.txt to take out the error text. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66523/2129/model.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66523/2130/model.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66523/2131/progress_plot.py",6,bronze,10,Mon Mar 16 2015 22:39:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12838,/competitions/datasciencebowl,950th
/zerozero,Curiousity Survey. Add/upvote your toolkit.,Caffe,3,bronze,37,Mon Mar 16 2015 22:43:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12839,/competitions/datasciencebowl,950th
/asimkievich,when are public scores released,"hi fellow kagglers (as well as novices and masters :), 1.5 hours to go. Are the final results released immediately after the competition, or do the organizers need some time to crunch the numbers? Thanks! Best, A",0,None,2,Mon Mar 16 2015 23:28:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12841,/competitions/axa-driver-telematics-analysis,507th
/hoytkoepke1,Starter code for leaderboard score of ~0.46.,"Hello, I just put up code that I used to get a leaderboard score of ~0.46412, and I would like to hear feedback on it. Feel free to use it, and I am open to feedback. I am sure many parts of it can be improved. [Link]:https://github.com/hoytak/diabetic-retinopathy-code This code uses the ImageMagick convert tool to preprocess the images, then uses the neural net toolkit (basically cxxnet) and the boosted regression trees in Dato's Graphlab create toolkits to build the classifier. Main Ideas: Use ImageMagick's convert tool to trim off the blank space to the sides of the images, then pad them so that they are all 256x256. Thus the eye is always centered with edges against the edges of the image. I avoided scaling the images to improve the neural net performance. Create multiple versions of each image varying by hue and contrast and white balance. This step can be simplified to get to a quick though less accurate solution. Duplicate each class so each class is represented equally, then shuffle the data. Train several neural nets, one trained to predict the level membership, and another 4 to distinguish 0 vs 1-4, 0-1 vs. 2-4, 0-2 vs. 3-4, and 0-3 vs. 4. For each image, extract both class predictions and the values of the final neural net layer. Pool all of these features across models and variations of the same images. Train boosted regression trees on these pooled features to predict the level. Round to the nearest integer as the class prediction. I know that each of these steps could definitely be tuned for greater accuracy, and I would love to hear your feedback. In particular, I don't think the neural net architecture is optimal for these images.",47,gold,76,Tue Mar 17 2015 00:22:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12842,/competitions/diabetic-retinopathy-detection,91st
/sedielem,Blog post describing the winning solution,"Hey everyone, Thanks to Kaggle, Booz Allen and the Hatfield Marine Science Center for a very interesting competition. Congratulations to the other winners! Here's a blog post describing our approach in some detail: http://benanne.github.io/2015/03/17/plankton.html Code and documentation to reproduce the winning solution will follow soon! UPDATE: Code and documentation are now available on GitHub: https://github.com/benanne/kaggle-ndsb",65,gold,35,Tue Mar 17 2015 01:07:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12844,/competitions/datasciencebowl,1st
/wcukierski,Github repos now live,We've now enabled [Link]:https://www.kaggle.com/c/datasciencebowl/github for those who want to share their code. Congrats and thanks for participating!,2,bronze,1,Tue Mar 17 2015 02:01:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12846,/competitions/datasciencebowl,None
/abhishek,winning solution,congrats to Sander et. al. http://benanne.github.io/2015/03/17/plankton.html,1,None,2,Tue Mar 17 2015 02:22:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12847,/competitions/datasciencebowl,24th
/conanmcmurtrie,What were your winning features?,"So, with scores settled, what were your big wins, and which were your best features? I found trip-matching to be a massive boost. Submissions that scored 0.87 went up to over 0.92. In terms of features, apart from the obvious, I found the following helpful: - Turning aggression = angle of turn x speed - Horsepower/mass = velocity x acceleration - Low speed times = times spent at speeds below 0.05, 0.1, 0.15, 0.2, 0.25 - Acceleration style = da/dt (for this to be meaningful, I had to add a further layer of Gaussian smoothing to the acceleration values) I graded most of my features in histogram bins from 0.2-1.0 in steps of 0.2. Bizarrely, one of my most reliable features was trip bearing - the angle of travel from start to end of the trip. This should have been random and failed to predict anything after AXA's rotations and reflections, but it consistently helped scores on local validation as a single float. My only guess for why this might be is they were not random enough in their reflections and rotations. In any case, looking forward to hearing everyone's killer ideas and innovations.",6,silver,9,Tue Mar 17 2015 02:23:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12848,/competitions/axa-driver-telematics-analysis,62nd
/wcukierski,Github repos now live,We've now enabled [Link]:https://www.kaggle.com/c/axa-driver-telematics-analysis/github for those who want to share their code. Congrats and thanks for participating!,0,None,29,Tue Mar 17 2015 02:40:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12849,/competitions/axa-driver-telematics-analysis,None
/robertoneil,Trip Matching - our methods,"I'm curious how the other teams in the top 5 did it. We received a pretty good boost by matching trips. I did several different methods, I think this was the order I did them in, but I'm sure I'm forgetting some dead ends. Approach 0: Align the start and end to the x axis. Approach 1: Simplify trips using RDP (Ramer–Douglas–Peucker), then create just a list of the distances between turns over a threshold along with a second list giving the size of the turn - ignore right or left. This is a great first pass - very quick and you can weed out a lot of trips this way I would compare forward and backward (this solved the starting from 0,0 every time bit) just looking at distance between turns, then compare the size of the turn within a threshold (this ignores mirroring) - all together that took care of rotation as well. We used 42 sets of tolerances for RDP and angles - at one point I think I was up to 180 tolerance / angle pairs, but found most were redundant and wasted time. By setting a minimum number of required turns to match we could generate quickly a set of matches. Testing revealed this worked very well. I can't recall the jump, but when I first teamed up with Ben we went from 11th to 3rd using just an override setting matches to 1.0's - the most basic way of using matches. Approach 2: Widen the matching angle to find more matches, then use Dynamic Time Warping to score the trips. This worked OK, but not really any better. Approach 3: Interpolate the trip into points spaced at an even interval, then trip DTW, this just couldn't score better than approach 1. Approach 4: Align the matched sub-trips based on the locations of the turns, and use Singular Value Decomposition to align the sub-trips and get the RSME error for the points. This worked very well. Approach 5: Keep track of who matches to whom - an adjacency tree, use it to create clusters of matched trips. Try various features based on the size of the cluster a trip is in, even did a page rank style analysis of the match trip network...maybe I wasn't smart enough but that feature didn't help (though we didn't start using it until the last 2 days or so, not much time to adjust it). Approach 6: Use use RDP turn / angle approximations and SVD for alignment, score with RSME for the sub-trip, then align the full trip and measure the distance between the start and end of the trip. Approach 6a: If we know the adjacency tree to walk from one trip to another we can rotate and align all the trips in a cluster to each other! Then by viewing the map of the driver's matches we could adjust the parameters for RSME and the minimum distance between the start and end of a trip (to account for trimming). If the minimum distance between the start or end of the aligned trip is greater than a certain value, ignore the match. It's a really elegant idea (if I do say so myself) and it failed [edit, turns out it failed when used as a feature giving to our ML classifier, however I've done a few more submissions now that the contest is over, with the matches from this approach boosting the classifier's results and turns out this would have worked]....in the end just using an RSME score for the sub-trip alignment found by SVD worked best. Take away - RDP to simplify the trip, break up into distances between turns (rounded to the nearest 100 meters), record turn sizes (not directions), look for matches forward, backward and with some allowance for slightly larger / smaller turns, then align using SVD, compare the alignment, keep track of how many matches a trip has, and in the end feed that feature fed into a ML algorithm - worked well. The speed of the basic method made it possible to check for matches between all the drivers. Starting with the bottom 50,000 (per our classifier) but in the end I ran it on on all matches paired against each other, on a i7 quad core it would take about 20 hours. I would later move onto EC2 clusters which made it possible to iterate over small changes in the algorithm and have the results in 1 to 2 hours for a basic version - last night I had 16 machines running at one time, eleven - 32 core machines and five - 36 core machines - managed to run two different matching algorithms in about 3.5 hours total - one of which helped us to finally climb over 97%. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66615/2152/Driver2 - 1st cluster.png",24,gold,16,Tue Mar 17 2015 03:09:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12850,/competitions/axa-driver-telematics-analysis,4th
/skidanovalex,Don't appear on the leaderboard,"Hi, admins, I submitted two solutions for 2015 (I can see them on the My submissions tab), but I do not seem to appear on the leaderboard, even with 0 score. Do I need to do anything besides submitting the results to appear there?",0,None,1,Tue Mar 17 2015 09:26:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12851,/competitions/march-machine-learning-mania-2015,41st
/aakabel,two submissions,"Hi, why are we allowed to select two submissions for Stage 2? Is your final score the average logloss of the two submissions? Or the better of the two? In other words, if I just have one submission at this stage, am I better off just leaving it there or putting in another submission with some perturbations? Sorry if this has been explained, but I couldn't see it anywhere... Thanks",0,None,1,Tue Mar 17 2015 11:04:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12852,/competitions/march-machine-learning-mania-2015,114th
/krasul,Literature on Automatic Diabetic Retinopathy Detection,"I am collecting some papers on the subject apart from the 6 references. Feel free to add more here starting with: [Link]:http://dx.doi.org/10.1016/j.cmpb.2012.03.009 [Link]:http://cvip.computing.dundee.ac.uk/papers/lupascu10.pdf by a Lupas¸cu et al., which has a kappa of around 0.7 Ridge-Based Vessel Segmentation in Color Images of the Retina by Staal et al. which has a kappa of 0.73",10,silver,17,Tue Mar 17 2015 11:29:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12853,/competitions/diabetic-retinopathy-detection,596th
/domcastro,Submission Brackets,"Using Jason's Printable Bracket in R code. Here are the brackets for Bluefool, Net Prophet, Bluefool / Net Prophet [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66690/2160/bf_bracket.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66690/2161/np_bracket.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66690/2162/bf_np_bracket.pdf",1,bronze,18,Tue Mar 17 2015 13:36:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12855,/competitions/march-machine-learning-mania-2015,8th
/evaristoc,"Models for Bike Sharing ""Prior Data Only"" problem","Hi Kagglers! Some of you may know by now that, following a misunderstanding of the rules, there have been at least two formulations of this challenge. Let's clarify those formulations using scenarios: In the first and most popular one a client comes with a dataset where some data have disappeared after a blackout and the role of the analyst is trying to fill in the gaps. In this case, you have access to the full data set and can predict the missing values in any direction. In the second one (the correct one according to Kaggle team at ""Rules"" thread), the client comes with a dataset every 19th of the month at 23h and asks the analyst to predict the rest of the month. The analyst has access to any prior data but those previously non-observed days to predict the next 11 days. Missing data are kept unavailable ""due to confidentiality reasons"" (let's say...). You can easily see that the first problem is one of missing values imputation. Solutions to this problem so far have proved that it is a lot of room for improvements and that could be very interesting to solve. The second one falls more into the predictive analytics tradition and it suits more my interests, despite of having some ""anomalies"" in its Kaggle's formulation. Unfortunately working on the second problem won't be facilitated by the current situation: The leaderboard is unfortunately polluted with the results of both approaches, and the comparison is likely difficult if not impossible. In reality you normally expect to see the actual values of the prior non-observed dates afterwards to correct your model and sometimes a hour-to-hour approach could be implemented. Kaggle's global measuring doesn't help much to trace success when working on the second problem which is more a month-to-month analysis. Kaggle team at least provides the error metric used for this project, something the analyst should take in consideration when measuring success per month. As I have mentioned in other threads, I am currently interested in the second scenario. I would like again to call anyone who is interested in solving this problem? Would you post at least your results and approach so we can share benchmarks? /// NOTE: an extended approach, eg. using the solutions of the first problem to help solving the second problem could be also interesting. /// =================== BONUS LINK // Later //",3,None,3,Tue Mar 17 2015 14:06:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12856,/competitions/bike-sharing-demand,309th
/msegala,Data Augmentation Questions,"Hi everyone, Great competition! Since it is now over I would appreciate some advice on data augmentation. I was able to successfully implement augmentation on-demand during training but was only able to get reasonable results for the affine transformations of: rotation: [90,180,270] flipping: yes or no Whenever I tried adding new transformations such as more rotations, or translations and shearing my results would quickly become much worse in both my training and validation log loss/accuracy. Are there general strategies that people follow when adding more and more transformations? I tried things like increase/decrease batch size, increase/decrease learning rate, increase/decrease number of epochs. I tried different combinations of these but to no success. Anyone have any ideas of how to make this work?",0,None,8,Tue Mar 17 2015 14:22:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12857,/competitions/datasciencebowl,93rd
/yeswell,Some general thoughts on overfitting,"Over the years, my thesis advisor has instilled a fear of overfitting into me. Every time I do predictive modelling the serpent hiss from my supervisor goes through my brain. Although I think this has served me well in practice. Just to share some of my personal experience and opinions in overfitting. Please kindly comment, share insights, and/or references. I would particularly love to hear your own story. 1) Ignore the training error/AUC/cost/criterion/whatever. It means nothing. 2) Variable selection: must be done within Cross-Validation (CV), unless it is done in an unsupervised manner. Do not run multiple t-tests or Lasso using all training data first, then cross-validate with the selected variables. Embed whatever variable selection methods within CV, and use the chosen variable selection criterion to train the final model. In the analysis workflow/pipeline, CV begins with the first touch on the output labels. 3) Random Forest can overfit. Those number of trees vs. validation error plots are misleading. The validation errors just don't rise as in those iterations vs. validation error plots in neural networks. 4) In Kaggle, it may be a bad idea to be overly obsessed with the LB score. Whether intentional or unintentional, this may forces one to tune the model according to the LB score, and lead to a model that can get that small fraction of the test data nicely-predicted, but no guarantee for the other test samples. 5) Often there are comments about matching CV score with the public LB scores. I am not sure if this is done deliberately (apology in advance for being presumptuous), but I wonder if deliberate attempts to match the CV and LB scores (e.g. find a CV-folds that match the two scores well) can be an automatic way for doing Item (4) above. Thank you for reading!!! Billy",6,bronze,9,Tue Mar 17 2015 14:41:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12858,None,None
/benjaminbossan,Welcome to the Otto Group Product Classification Challenge 2015,"Dear participants, Welcome to the Otto Group Product Classification Challenge. Your task is to classify more than 200,000 products belonging to one of nine categories. Please familiarize yourselves with the competition rules. If you have further questions, ask us in the forum. Your competition admins,Josef Feigl & Benjamin Bossan",5,bronze,38,Tue Mar 17 2015 17:10:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12859,/competitions/otto-group-product-classification-challenge,None
/kazanova,I predict this will be one of the most popular kaggle competitions,"not many samples, predefined set of features Classification All you need is a ""beat the benchmark code..."" Boom",16,gold,17,Tue Mar 17 2015 17:33:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12860,/competitions/otto-group-product-classification-challenge,17th
/almonds,Reasonable minimum and maximum win probabilities,"Hi all, I wanted to start a thread where people can post quantiles about their predictions. I'm not sure if i'm really far off if my predictions have very low minimum and maximum win probabilities, and just wanted to compare: Min. 1st Qu. Median Mean 3rd Qu. Max. 0.03091 0.34300 0.49150 0.48960 0.63450 0.95420 I just got these from using summary(stage2$pred) in R. It would be cool to see if the winning submission has a really high variance in predicted scores or whether it is more conservative in estimates. Best, Allen",1,bronze,3,Tue Mar 17 2015 17:42:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12861,/competitions/march-machine-learning-mania-2015,28th
/steveroll,Best Score before Trip Matching,"Hi All, I am curious what different teams had for their top scores without trip matching compared to the score with trip matching. My best model scored about .918 before trip matching and .925 after. I only started the trip matching in the last week, so my method wasn't as precise as it could've been and let too many false positives through. Thanks! Steve",0,None,7,Tue Mar 17 2015 17:45:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12862,/competitions/axa-driver-telematics-analysis,67th
/mesmes,Problem logging into kaggle.com: Error 500,"I am using chrome browser on OS X 10.9.5 and would like to use 'wget --load-cookies...' to download the data files. But when I try to log into kaggle using my account, I get the following message: --------------------------- Error 500 The Azure Web Site has experienced an unexpected service error. We apologize for the inconvenience. Please try to reload the page or visit it again soon. If you are the Administrator of this web site, please visit the Azure Service Dashboard for information about the status of Azure Services. You can also visit the Azure Web Sites forum to discuss this. ------------------------------- Does anyone knows how to resolve this problem? The goal is to log into my account on kaggle and then export chrome cookies.txt to my directory before doing wget --load-cookies.",0,None,2,Tue Mar 17 2015 18:11:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12863,/competitions/diabetic-retinopathy-detection,None
/inversion,Beat the benchmarks in 30 seconds with PLS,"I don't recommend PLS for this. But, here you go. Leader Board Score - 0.94438 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66749/2165/btb_pls.py",5,silver,3,Tue Mar 17 2015 18:21:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12864,/competitions/otto-group-product-classification-challenge,16th
/adjgiulio,I'm receiving random messages from Kaggle,"About an hour ago I started getting emails from Kaggle. Subject is always ""Message from Kaggle"". The content appears to be some random post from old competitions...",2,bronze,5,Tue Mar 17 2015 18:25:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12865,None,None
/abhishek,Beating the Benchmark ;),"Hi Folks, As usual, I present to you the beating the benchmark script for this competition. The script is in python and I have commented most of the stuff. Its pretty simple and should give a score of 0.60 on the leaderboard. With some optimization you can achieve my current score. Feel free to ask questions in case of any doubts in the script. Don't forget to vote-up in case this script helped you in any way. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/66759/2166/benchmark.py",86,gold,42,Tue Mar 17 2015 18:46:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12866,/competitions/otto-group-product-classification-challenge,3rd
/rohanrao,Public / Private LB split,The public LB is based on 70% of the test data while the final standings is based on 30%.Aren't most competitions split the other way?,8,silver,6,Tue Mar 17 2015 20:01:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12868,/competitions/otto-group-product-classification-challenge,806th
/wcukierski,Student Prize,"If your team is entirely comprised of U.S. college students*, we want to hear from you! You could be the winner of the student prize. If your team meets the criteria, send an email to competitions.admin@kaggle.com with your team name, school(s), and final rank. * Each student must be actively enrolled in at least one course, for the 2014-2015 academic year, at a college geographically located in one of the 50 United States, the District of Columbia, or Puerto Rico.",1,None,2,Tue Mar 17 2015 21:17:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12869,/competitions/datasciencebowl,None
/paulmatho,Did anyone use Matlab?,"Hi guys, Wondering if anyone used Matlab for this competition and would like to compare notes? For my data preparation I used a simple algorithm to remove large spikes in my velocity profile, then applied a butterworth filter using 'filtfilt' to smooth the data. I then created a feature matrix which included quantiles of velocity, tangential acceleration and acceleration rate of change, as well as normal acceleration. To create a training set I combined 70% of the data from the primary driver with 70% of the data from 10 other non-primary drivers. To do this I used an unsupervised svm method. For the classification part I used a combination of the different machine learning algorithms in Matlab - (such as fitensemble, TreeBagger, etc), but I was unable to replicate the results listed by other Kagglers using similar methods.... Wondering if anyone who used Matlab would like to compare notes? Cheers!",0,None,3,Tue Mar 17 2015 21:41:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12870,/competitions/axa-driver-telematics-analysis,794th
/deepcnn,How many images are there?,"Extracting images with 7zip we encountered errors for two files. But, looking at the extracted folders, the files are already there. So, we want to confirm all the images are extracted well. We have 35,126 train images and 53,576 test images. Can somebody confirm this is okay? Thanks!",0,None,2,Tue Mar 17 2015 21:43:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12871,/competitions/diabetic-retinopathy-detection,111th
/deepcnn,DIGITS and Titan X - Nvidia key note,Nvidia unveiled DIGITS (a seemingly highly simple and flexible deep learning middleware) and Titan X in a GTC keynote that is all about deep learning. http://m.ustream.tv/recorded/60025825,2,bronze,7,Tue Mar 17 2015 21:48:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12872,/competitions/datasciencebowl,148th
/erdman,Play-in games?,"Are the play-in games part of the scoring evaluation or not? Last year, I believe they were not. However, I don't see it mentioned in this year's rules (quick scan, sorry), and there is some implication that they may be evaluated: "" For example, in a tournament of 68 teams (64 + 4 play-in teams), you will predict (68*67)/2 = 2278 matchups."" Two play-in games will be resolved before the deadline, while two will not. For the 2016 edition, I vote for making the submission deadline either before or after all play-in games. This competition is different from many other Kaggle competitions, and there doesn't seem to be a real need to handicap yourself by sticking to the typical 11:59pm UTC deadline.",0,None,7,Tue Mar 17 2015 22:01:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12873,/competitions/march-machine-learning-mania-2015,81st
/jasonsumpter,The ball is (almost) tipped.,"For those of you not familiar with college basketball, the name for the winners last year was a play on the song that is played at the end of every tournament with highlights of the tournament. [Link]:https://www.youtube.com/watch?v=J91hh1n9eAU. I've had it on a loop for the last few hours. Playin games start in about an hour. They aren't scored, but it's still interesting to see how you are doing. I have BYU at 0.54, Hampton at 0.35, North Florida at 0.56, & Boise St at 0.39.",2,bronze,5,Tue Mar 17 2015 22:47:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12874,/competitions/march-machine-learning-mania-2015,113th
/brandonhoeksema,Submission Probabilities,"Quick question: So the format of the submission file is a bunch of rows like the following year_team1-id_team2-id | probability Is that probability the probability that team1 will win or the probability that team2 will win? I hadn't considered this until now and can't seem to find anywhere that specifies. I should have tried flipping the numbers in my submissions to Stage 1 to see if that helped my error, but it's too late to do so now. Sorry if this has already been asked. Thanks!",0,None,2,Tue Mar 17 2015 22:56:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12876,/competitions/march-machine-learning-mania-2015,287th
/jeffsonas,Submission Deadline in 26 hours!,"Just a friendly reminder that all submissions, and the selection of your two submissions to participate in the Stage Two contest, are due in slightly less than 26 hours. That is 4:59PM Pacific, 7:59PM Eastern, and 11:59PM UTC, tomorrow (Wednesday). So don't leave it until the last tick before midnight, unless your local time zone is UTC! [insert obligatory Cinderella joke here] Remember, you may make as many submissions as you like, but you may only select a maximum of two of them to be eligible to count for your score! Within the My Submissions page, you can select which two you want. Or if you only submit once, you can just select that one. The best-performing of your one or two selections will count toward the final prize. So if you submit one wildly successful submission, and one disastrously wrong submission, you can still win; they are not averaged together or anything like that. Also please note that, per the contest rules, we will consider ourselves free to publicly share the details of any of these selected submissions, once the submission deadline has passed. Last year we had not made provision for this in the rules, so that was one reason we didn't share the details of predictions in advance, but this year we will embrace the Madness and try to make this information available before the games are played. Of course, we will not reveal any prediction details prior to the submission deadline. As we approach the submission deadline, we will potentially be calling attention to people that have not yet selected their eligible submissions. We really want you to make your selections prior to the submission deadline!",2,bronze,1,Tue Mar 17 2015 23:09:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12878,/competitions/march-machine-learning-mania-2015,142nd
/asimkievich,features categorical or numerical,"apologies for being lazy, I guess I could test and find out. but would be interested in feedback. Just when I was getting ready for the diabetes (image classification) competition, this nice cookie was served!. I guess I will participate in both. cant't beat the price / number of contestants ratio of the image classification competitions :) although I predict it will be a year at least until I score among the top three, if at all :)",0,None,16,Tue Mar 17 2015 23:11:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12879,/competitions/otto-group-product-classification-challenge,87th
/davidtran,Nature of the features,"All the features in the data set have been obfuscated, which makes it difficult to develop an intuition. At first glance the features look categorical, but according to the description they are actually numerical, representing counts of different events. Does anyone have a guess as to what these mysterious ""events"" might be?",1,bronze,7,Tue Mar 17 2015 23:34:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12880,/competitions/otto-group-product-classification-challenge,403rd
/cdubois,Starter code for leaderboard score of 0.50847,"Hi, Here is some starter code for using a boosted trees classifier. https://gist.github.com/doobwa/3cefcc92891c4f1571f8 The code snippet uses the [Link]:https://dato.com/products/create/docs/generated/graphlab.boosted_trees_classifier.create.html#graphlab.boosted_trees_classifier.create in [Link]:https://dato.com/products/create/quick-start-guide.html. I haven't done much tuning yet, and I used a portion of the data as an internal validation set. (This is the default setting in this case.) I thought it might be a useful starting point for some people. Cheers! Chris",22,gold,5,Tue Mar 17 2015 23:38:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12881,/competitions/otto-group-product-classification-challenge,855th
/asimkievich,guess this is really the time to try out neural nets,any implementations you recommend? I found out this one by Jørgen Grimnes: https://github.com/jorgenkg/python-neural-network Any other implementations out there experienced kagglers specially recommend? Thanks.,2,bronze,84,Wed Mar 18 2015 00:01:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12882,/competitions/otto-group-product-classification-challenge,87th
/nilesh5,Leaderboard rank not shown in telematics competetion,"All our submissions under AXA_BS have gone missing and the leaderboard ranking has been removed once the competition ended. The history of submissions is visible in teamleader's account yet, the scoring isn't. Even the team members list isn't there. Can you please sort this out ASAP? This was also a part of internal AXA initiative and we'll be presenting a collated document in a couple of days.",0,None,2,Wed Mar 18 2015 02:49:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12883,None,None
/pradeepmishra11,Problem to download dataset.,I have tried to download dataset. but error. Can anyone help how will i download dataset.,0,None,3,Wed Mar 18 2015 07:17:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12886,/competitions/diabetic-retinopathy-detection,None
/binghsu,Brief Describe Method and CXXNET V2,"First I apologize that this post is not formal method sharing and CXXNET V2 comes a little late. Full document / configuration will post by Team lead Xudong Cao. In general, we are using extremely deep network (much deeper than VGG network) with Spatial Pyramid Pooling and Deeply-Supervised Nets. For activation function, we are using a strange/unpublished activation function. The activation function code is public in Github CXXNET repo for several months, I guess maybe there were some careful guys found it and used it. It will brings much faster converge speed than relu. It is not very like Leaky Relu/PRelu either. We still consider to publish it as an academic paper/workshop paper, but some theory problem need to be solved before that. We also used batch-normal layer, the code is public in repo after we read the paper. Thanks to CXXNET V2, the unique GPU-parameter server brings nearly linear speed up for multi-card training. So training such deep network is not so painful. Most augmentations are similar to Sander Dieleman's solution. Some minor tricks are shuffle image per epoch and real time random augmentation. CXXNET's new multi-thread binary image iterator is able to random shuffle overall doesn't hurt IO performance, so that we fully utilized computation power. New CXXNET V2 is moved to [Link]:https://github.com/dmlc, The DMLC will gradually provide kinds of distributed solution for learning algorithm. I think this will be useful for kaggler since competition costs much much more computation resource than ever. Single machine winner is fading out. CXXNET V2 is located at [Link]:https://github.com/dmlc/cxxnet. New version will provide Python/Matlab training/prediction interface. I hope more people will take benefit from it in the [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection. Cheers, Bing",18,gold,17,Wed Mar 18 2015 07:31:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12887,/competitions/datasciencebowl,2nd
/worldwar2008,Let’s share some information about the industry of telematics!!,"Indeed, I knew this competition one month ago when I searched some information from Google. At first, I thought I can do this well because that I am working in one of telematics company in China. I had enough real data from drivers. Couldn’t I train the parameter from our real trip? After a fewer days, I found that method is overestimated. So I had to draw features from the data provided and at the same time I miss to enter one team. I have no time to do the trip matching. And the result is just about 0.83+. In my work, I need to design the model of economic and safe driving. I can get the data such as speed, engine speed, pressure, acceleration, gps and so on. In China, the industry of telematics is just developed. Because of the past price model of driver insurance, the industry didn’t developed at all in the past. With the development of Internet and Big data, more and more company (Alibba,Baidu & Tencent) have enrolled in this area now. I don’t know how the UBI(Usage Based Insurance) is developed in foreign? And how to design a good model to estimate the risk of one driver according to the data collected?",0,None,2,Wed Mar 18 2015 08:46:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12888,/competitions/axa-driver-telematics-analysis,435th
/xjingfu,Automatic feature generation,"Share one of my approach to generate features: In addition to manual feature engineering such as percentile of speed, acceleration and angle, I have done feature engineering with clustering approach. For all the seconds(points in x,y) from all trips by all drivers, I generate a point in 3D space with speed, acceleration, and angle of driving. Then I use Kmeans to cluster these points into a set of clusters (~60-200). Later on, for each trip, I compute the percentage of seconds that it is in each cluster, and use these as features, so I get 60-200 features for each trip. For that I get around 91%, then I combine results with different cluster numbers, to further improve the score.",12,silver,6,Wed Mar 18 2015 10:14:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12889,/competitions/axa-driver-telematics-analysis,48th
/goldman88,Regarding Independent and Dependent Variables,"Dear all, Do I need to convert the data type of independent variables into numeric? I tried to fit random forest model on train dataset and it takes hell lot of time.Please help Thanks in advance!",0,None,16,Wed Mar 18 2015 12:29:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12890,/competitions/otto-group-product-classification-challenge,1747th
/prateeksasan,Soil Type feature extraction,Has anyone done any feature extraction using the 40 soil types . i tried 2-3 things but my results didnt improve. how is everyone using these variables in the model?,5,None,3,Wed Mar 18 2015 14:39:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12891,/competitions/forest-cover-type-prediction,168th
/elizabethsusanjoseph,March machine learning mania competition,"Hi Machine learning experts, I am doing march machine learning mania competition and I am a beginner in ML. If you have solved this problem for the year 2014 or 2015 using python(pandas, matplotlib libraries) or r please send me your ""notebooks"" or ""r"" file. so that I can learn more from your approach. It would be great if you could help me with this. thanks/Susan",-1,None,2,Wed Mar 18 2015 14:59:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12892,None,None
/jayendra,Convolutional Neural Net,Any one using convolutional neural net from theano? need a little help,0,None,4,Wed Mar 18 2015 15:36:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12893,/competitions/diabetic-retinopathy-detection,398th
/jacksoncunhacassimiro,Compute score before submission,"Hi for all! I'm sorry if my question seems stupid, I'm still learning. Anyone knows how to compute this multiclass loss new score before doing submission? I'm trying some experiments in R and estimate if my results will achieve a cool score without submit it will be very usefull.",0,None,30,Wed Mar 18 2015 18:16:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12895,/competitions/otto-group-product-classification-challenge,None
/zakjost85,Breaking into data science,.,1,bronze,3,Wed Mar 18 2015 18:51:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12896,None,None
/jeffsonas,Less than six hours left!,"If you have been putting off finalizing your submissions, now is the time to get moving! The submission deadline is in less than six hours - that's 4:59pm Pacific today, 7:59pm Eastern today, or 11:59 UTC today! By the deadline, any and all eligible submission files must have been successfully uploaded and then selected. If you miss the deadline, you are welcome to attach your submission files subsequently to the forums, and boast about how well they would have done if you'd planned ahead more successfully, but they will NOT be eligible to win prizes in the contest. And a special note about selecting the submission files. You can go into your ""My Submissions"" page and mark the checkboxes for the one or two submissions that you want to be scored for the contest. We will not make any guarantees about what happens if you uploaded your submission files but didn't select enough of them. In particular, let me call attention to several teams (Brian Hawkins, RANS, coopersnail, Evgeniy Molozhenko, mnrl, randyMarsh, tcash21, TJ) that have uploaded 3 or more entries, but have not yet selected two of them. There are also about a hundred teams that have submitted zero, one, or two entries but have not selected any of them yet. Please go in and select them!",4,bronze,3,Wed Mar 18 2015 19:20:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12898,/competitions/march-machine-learning-mania-2015,142nd
/del=444c9806405403bd,Yes or  No  to nzv?,I have a question: do you use predictors which have near zero value? I saw that in this data there are a few .,0,None,3,Wed Mar 18 2015 19:40:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12900,/competitions/otto-group-product-classification-challenge,1697th
/domcastro,Why rescaling probalities?,"If a row can only belong to one class, why are the probabilities rescaled? ""The submitted probabilities for a given product are not required to sum to one because they are rescaled prior to being scored (each row is divided by the row sum).""",1,bronze,29,Wed Mar 18 2015 19:50:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12901,/competitions/otto-group-product-classification-challenge,192nd
/jiweiliu,Obfuscator.ACY is obfuscating :(,"Class 8, Obfuscator.ACY, is the major contributor to our local validation errors. Any one has advice on how to deal with it? Thank you very much",1,bronze,9,Wed Mar 18 2015 21:57:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12902,/competitions/malware-classification,1st
/ujjwal,Beat the Benchmark with neural networks in R,"Hi all, For those more comfortable with R, here's a [Link]:https://github.com/ujwlkarn/Product-Classification-Challenge to a simple script to beat the benchmark using a single-hidden-layer neural network. Leader Board Score ~ 0.76 Run Time ~ 3 minutes on my laptop (i5) The network contains 93 neurons in the input layer (corresponding to each feature), 3 neurons in the hidden layer and 9 neurons in the output layer (corresponding to each class). Increasing the number of neurons in the hidden layer and tuning other parameters gives a better LB score. You can use examples in [Link]:https://beckmw.wordpress.com/2013/11/14/visualizing-neural-networks-in-r-update/ (not mine) to visualize the network for better interpretation. Hope someone finds this useful!",15,gold,1,Thu Mar 19 2015 01:18:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12904,/competitions/otto-group-product-classification-challenge,110th
/jiweiliu,my submissions?,'My submissions' is missing now. Will it stay that way? kind of interested to see which one of them scores better.,0,None,13,Thu Mar 19 2015 01:22:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12905,/competitions/march-machine-learning-mania-2015,220th
/codebender,Leaderboard updates,How often will the leaderboard update as games are played? At the end of each day? After the end of each game?,0,None,1,Thu Mar 19 2015 02:46:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12906,/competitions/march-machine-learning-mania-2015,122nd
/alanheirich,seeking help to support a civil rights project,"(please do not treat this as spam, please read it) Do you care about social justice? Can you help fight a winning battle against institutional corruption and racism? A major American city has a corruption problem in their probate court system. A group of shady lawyers and at least one judge have been systematically separating low-income families, mainly African-American, from their homes, and selling the homes to speculators for profit. The state supreme court and federal district courts are both investigating and it looks like they will soon take action to clean up the mess. All of this has come to light as a result of a single court case fought by one hard working African American family who have been fighting to retain their family home. It is a real David vs Goliath story. At this point the family has obtained access to electronic records of all of the probate court transactions. Now they need help analyzing the data. This is where you could come in. Can you help this family answer questions about their data set? They have little resources and cannot pay initially but if this turns into substantial work we will try to raise funding.",0,None,1,Thu Mar 19 2015 03:34:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12907,None,None
/wcukierski,Your 2015 Predictions,We have uploaded all_selected_predictions.zip to the competition data section. This file has the 613 selected submissions which will be battling it out for 2015 March Mania glory! Files are named according to: team-name_team-id_submission-id.csv You may notice your team name has been sanitized to make an OS-friendly file name. Have fun with these!,0,None,34,Thu Mar 19 2015 05:08:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12908,/competitions/march-machine-learning-mania-2015,None
/augustodias,Dataset description,"Is the store column (first column) data of train.csv correct? It suppose to be the storeId but instead is storing the product id, isn't?",1,None,2,Thu Mar 19 2015 06:14:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12910,/competitions/thinkbigusyd,244th
/eijawolf,Product Master logic in the file?,"I have done a lot of work with MDM ( master data management) and I have a question which is not statistical, but ""SME"" or ""common sense"" or ""use your brains"" style - there are ways to derive metadata from the data if it follows certain structure. Based on >describe(train) I can see that there are some hierarchies built-in. Would it be out of rules if instead of running brute force classification algs, some MDM knowledge would be applied? p.s. I did benchmark random forest bare bones submission and got 0.556 with 121 place. I'd like to improve my results:) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67155/2190/Screen Shot 2015-03-18 at 10.11.18 PM.png",1,None,2,Thu Mar 19 2015 06:16:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12911,/competitions/otto-group-product-classification-challenge,1378th
/wcukierski,Round of 64 Predictions,Here are the prediction histograms from all Kaggle participants for the round of 64. Let the tournament begin! [Link]:https://storage.googleapis.com/kaggle-media/old-azure-general-images/kaggle_round_of_64.png,9,silver,46,Thu Mar 19 2015 06:20:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12912,/competitions/march-machine-learning-mania-2015,None
/helenchen1,Dataset,"Hi, in the description, it says the train csv will contain 'weekly sales for 10 products at 5 stores from January 30th 2013 until Tuesday March 3rd, 2015', however the file I downloaded has data that range from 1930 to 2027 and they are discontinuous. Is that file what we are supposed to get and analyse?",0,None,2,Thu Mar 19 2015 09:56:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12913,/competitions/thinkbigusyd,99th
/steph314163,Data missing,"As information given, data started on the week of 30 Jan 2013, however what I have got is starting from the week of 13 Feb 2013. Are there two weeks data missing? Thank you.",0,None,2,Thu Mar 19 2015 11:19:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12914,/competitions/thinkbigusyd,26th
/ruibosun,Inconsistent Product_Store_ID,"The column Product_Store_ID is not consistent with Product_no and Store_ID, which column should we follow ?",0,None,1,Thu Mar 19 2015 11:53:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12915,/competitions/thinkbigusyd,203rd
/hbahrami,Feature Extraction,[Link]:http://en.wikipedia.org/wiki/Feature_extraction but I want to know is there any cases and approaches that we want to use feature extraction to increase dimensionality and create more features ?,0,None,1,Thu Mar 19 2015 12:35:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12916,None,None
/yejiming,This competition is so popular,"Small dataset, reasonable amount of features, classification problem. Just perfect to try basic models...",4,bronze,2,Thu Mar 19 2015 14:37:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12917,/competitions/otto-group-product-classification-challenge,169th
/markrosedale,Time Series data and Rate of change,"Hello, I'm working on a project where I'm dealing with the number of users logged into a system every minute. So the data starts off as x1 = x, x2 = y, x3 = z etc. The data in raw numbers generally looks like this (though note this is in usage ever 5 minutes not every minute) My main concern is in dealing with rates of change. In particular I want to know if I'm suddenly losing more users than I should be. So for instance as the usage rises if I were to suddenly find myself losing 3% of my users I'd want to be alerted. Likewise if on the way down, after the peak, I find myself loosing more than normal I would like to be alerted. I also have several different domains that I support so while one domain may look like the picture uploaded other domains vary by either time of day for the peak, or total usage etc. For this reason I've been focusing largely on percentage rates of change. This seemed like the best way to generalize everything across all the domains. And since all the domains vary in how this rate fluctuates, both by different domains and time of day, I set out to build a statistical model that would help inform my program as to what threshold it should page on. I haven't done much with time series data before, so I'm wondering if there is any advice people have for dealing with this. I want to be alerted if I genuinely am seeing bad behavior, but otherwise don't want to be alerted by false alarms. Tools: I'm using python with pandas to do my analysis. Thanks, [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67222/2195/usage.png",0,None,1,Thu Mar 19 2015 14:39:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12918,None,None
/carloshuertas,United States Treasury’s Office of Foreign Assets Control,"Most (if not all) prize competitions here state at some point that:You are not eligible to receive any Prize in the Competition if you are a resident of a country designated by the United States Treasury’s Office of Foreign Assets Control For further reference, they send you to:http://www.treasury.gov/resource-center/sanctions/SDN-List/Pages/default.aspx However, after checking that link and searching throught the website, I was only able to find this relevant document:http://www.treasury.gov/ofac/downloads/t11sdn.pdf However, it appears that what is blocked is a person, not an entire country, but I may be missing something. How do I really know the list of whole-countries not elegible? Mine is Mexico.",0,None,1,Thu Mar 19 2015 16:20:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12919,None,None
/budiansky,Hardware for Analysis - GPU?,"I recently assembled a new system for data analysis. (Documented here: [Link]:http://blog.quadrivio.com/2015/03/personal-linux-r-server-in-mini-itx.html) It's basically a 4.0 GHz quad-core i7-4790K with 16GB of RAM. The system itself is pleasantly fast, but I added in a graphics card (AMD Radeon R9 280) with hopes of using it (via OpenCL) in the future for additional parallel processing. Besides the recent discussion on the forum regarding [Link]:http://www.kaggle.com/forums/f/15/kaggle-forum/t/11332/quadro-vs-geforce-gpus-for-neural-networks-in-kaggle-competitions, I haven't seen much mention on the forum of GPUs in connection with Kaggle-style problems. Has anyone had experiences good or bad in using GPUs in this area?",3,bronze,7,Thu Mar 19 2015 17:21:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12920,None,None
/philipprudiger,Visualizations,Just wanted to show off some of the visualization I came up with over the course of this challenge: http://philippjfr.com/blog/kaggle-bci-challenge-visualizing-eeg-data-in-holoviews/,3,bronze,2,Thu Mar 19 2015 17:52:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12922,/competitions/inria-bci-challenge,51st
/iamthep,Poisson Process' Solution,"This is just a quick overview for those curious about our solution. It seems quite simple compared to the other top two teams. I would like to make a blog post of how I approached this competition since this was my first time using CNNs, and my experience may be valuable for others as I was rapidly improving my methods towards the end of the competition. Of course I have also extensively followed the progress of neural networks since 2012's ImageNet competition, which helped a lot. Why Spatially Sparse Networks? I think this was probably a large advantage in this competition. Most of these images are simply white background. In fact I believe only 15% of the pixels had initial activations in my networks. This architecture allowed for a lot of flexibility in data augmentation since you can have really wide input fields and not greatly hurt performance. Network Architecture The architectures are mostly based off of templates for [Link]:http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/graham/sparsecnn.pdf with varying the number of layers between max pools. I tried 27 layer 2x2 convolutional filters with 5 2x2 Max Pooling layers. I believe that a 3x3 with 2 stride would have produced better results. I also had 18 layers with wider nets and 22 layers. All worked very well and produced single network scores of 0.618 - 0.625. Most networks had 4-5 max pooling layers. I eventually settled on a network similar to VGG with 3x3 convolutional filters. This was a shorter network with only 14 layers. These scored from 0.610 to 0.620. They were also moderately small. My networks were 3 million to 11 million parameters in size with moderate drop out. (0.2) Dr. Ben Graham was able to achieve a single network score of 0.599 with a network consisting of 12 Fractional Max Pooling layers. (see [Link]:http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/graham/fmp.pdf) He also had a network with 0.608 which used 3x3 max pooling layers with a stride of 2. Data Augmentation Everything was done in real time. Dr. Ben Graham used affine transformations and I was using perspective transformations. The real key is that pretty much anything that doesn't change classes is fair game. If you look at the test data, many classes are heavily biased to certain orientations. However, it is best not to try and match these biases. Too much of a good thing can be bad. It was good to add small random variations in scaling, but if you increased it too much then the score was greatly hurt. I read somewhere that CNNs have problems dealing with data at different scales. It seems that this may be somewhat true. Since this was a spatially sparse network I found that dividing the largest dimension of each input image by 2.5 and adding 30 produced much better results than simply scaling the largest dimension to 80 or 100 or something similar. Encoding I have no idea how much the methods I used here really helped. I thresholded out any pixels > 252. I then calculated the global mean and standard deviation of the training set, and each individual image over the remaining pixels. I also calculated a windowed (11x11) mean and standard deviation for each pixel. Those were combined to form 3 channels. I added a forth channel which used the global mean and image standard deviation. I really should have explored how I encoded the images more as I believe this method caused several classes to be very difficult to predict properly. (see below) Ben used a different method which can be seen in his code at his page. Problem Areas I believe that the encoding method I used made several classes very difficult for my network to predict properly. This problem did not appear in Ben's networks. Artifact_Edges was predicted as 2.4% of my total aggregated classes. It should have been closer to 0.56% (Based on training data). Protist_dark_center was predicted as 1.14% of my total aggregated classes. It should have been closer to 0.36%. These two classes were very large outliers for me. Our final ensemble was a little better with these classes, but this definitely hurt our final score. Ensemble Our final ensemble had 15ish networks with Dr. Graham's best net being counted twice. However, an ensemble of 5 networks reached 99.8% of the best score. I am really amazed out how you can add a network with a score of 0.63 and still see an improvement in score. Some Things Different Sometimes training really deep nets with dropout can make convergence painfully slow at the start. So I implemented a gradual drop out where I start at 0 drop out and introduce more and more drop out as the score improves on the training set. Usually by the 10-20th epoch I have reached maximum dropout across all layers. This doesn't seem to hurt final performance of the network. Some Things Bad To save time I tried to take partially trained networks and then change the input variables to create a new net. This was not a good idea. Last Words I haven't consulted with Dr. Graham before writing this so he may have something more to add. If you have any questions I will be glad to try and answer them.",9,silver,4,Thu Mar 19 2015 20:02:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12924,/competitions/datasciencebowl,3rd
/pukkinming,Choice of bandpass filter,"Hi guys, here I have another question for the choice of bandpass filter. I realize filters can be categorized into two types: - Infinite impulse response (IIR)- Finite impulse response (FIR) Literature suggests Butterworth filter, which is a common IIR filter. May I know why this is the prime choice in our BCI project here? Is it because of the tradition? Or is it because this is the result of trial and error as compared with other kind of filters? Your reply will be deeply appreciated. Thank you so much!",1,None,2,Thu Mar 19 2015 20:46:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12925,/competitions/inria-bci-challenge,None
/nitinkr,submission stuck in pending mode,my latest submission is stuck in pending mode....,2,bronze,7,Thu Mar 19 2015 21:05:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12926,/competitions/otto-group-product-classification-challenge,1821st
/ryanswanstrom,Can The Data Files Be Posted Online?,"In some competitions, the data files are marked as not for public use. What are the rules around sharing the data files for this competition?",0,None,1,Thu Mar 19 2015 21:37:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12928,/competitions/otto-group-product-classification-challenge,753rd
/shaironen,Other Solutions,"It is very impressive to read about the top 3 winning solutions. They have pulled away from the rest of the pack by a wide gap. Some other solutions may still have complimentary components that in combination could offer additional improvement. Our team came #5. As others we used CNN. One thing that we found helpful was to vary the aspect ratio of the image. We used both resize preserving and non-preserving aspect ratio, and combined in ensemble. Each alone gave similar scores, but in combination improved by 0.1-0.15.Others also mentioned using one or the other method. I think this helps for planktons because some of them are very long and thin, so when resizing with correct AR, not much detail left on the narrow side. Another method, we used the hierarchical structure to define 4 levels of higher hierarchy labels,.so that the highest level has the fewer number of labels. We trained same network on the separate label sets. We then combined them using the conditioned probability and enforcing some of lower level labels to sum to that of higher ones. An ensemble of such models improved our scores for a given network structure by about 0.1-0.15. It will be interesting to hear from teams that got improvements from other ideas. In particular we noticed that in our solution, it did not do as well for classes ""unknown"" and various ""others"". It makes sense, since these are not normal classes but collections of exceptions. Did anyone try a method focused specifically on this aspect, that helped? I was thinking of trying some kind of novelty detection methods, but did not get to that.",4,bronze,3,Fri Mar 20 2015 00:41:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12930,/competitions/datasciencebowl,5th
/tkchaudhary,What all modeling techniques are being used??,Please share the modeling techniques u guys are using,0,None,3,Fri Mar 20 2015 01:59:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12931,/competitions/thinkbigusyd,244th
/vabraham,Beat the Benchmark with a Random Forest in R,In the link below is a simple R script to beat the benchmark using a random forest. This gets you a score of about 0.59. You can easily improve this just by increasing the number of trees. Good luck! https://github.com/vabraham/kaggle_otto/blob/master/otto.R,3,bronze,10,Fri Mar 20 2015 02:13:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12932,/competitions/otto-group-product-classification-challenge,678th
/sjl070707,feature engineering in rf,"I'm been struggling with h2o deep learning thinking that it will be the best use case. (couldn't get any score lower than 6 :( and found out that python,RF output was the best choice by far. (0.5) I have a following questions - it looks like i need to do extensive feature engineering. could someone hint the best practices in feature engineering in RF? (my guesses are, log, log10, binning) -since we have so many features, visiting individual feature will be a pain? -how do you determine if one feature is dependent on another feature?",1,bronze,42,Fri Mar 20 2015 06:08:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12933,/competitions/otto-group-product-classification-challenge,None
/jessekolb,What hardware is everyone using?,"Are most people running their codes on their desktop computers? My computer has an i7-4790 CPU but no graphics card or GPUs. I'm guessing this would be fine for doing this competition given that there are 4 months remaining, but since I'm still a bit new to machine learning I'm guessing I will have to tweak my code and rerun it more often than most competitors. I'm thinking about using AWS to speed up the time for my iterations, but have never used it before. It doesn't seem too difficult to learn, but I'm wondering: is this something people would recommend and what sort of hardware and environments is everyone else using for this competition?",1,bronze,14,Fri Mar 20 2015 07:35:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12934,/competitions/diabetic-retinopathy-detection,None
/shua3781,Data deficiency,"Hi, the set of data I downloaded has its latest figures ending on 25/2/2015, not 3rd of March which is the starting date of our first predictions, is there a deficiency data of one week in train.csv?",0,None,1,Fri Mar 20 2015 08:30:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12935,/competitions/thinkbigusyd,18th
/domcastro,Net Prophet / Seed Benchmark incorrect on LB,I have this scoring 0.60 in my spreadsheet but it's over 1 on LB and the Seed Benchmark is on 0.576864 according to the spreadsheet,1,bronze,16,Fri Mar 20 2015 10:02:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12936,/competitions/march-machine-learning-mania-2015,8th
/joelpulliam,Is it fair to say that the current leaders will fade into oblivion?,"I'm thinking that if your model predicted all of these upsets and, therefore, you're near the top of the leaderboard, you are ultimately doomed to fail There is no ML algorithm in the world that would correctly pick these upsets. Or maybe I'm just rationalizing because my model that had high accuracy and low log loss on the training data is in the bottom 20% of the leaderboard!!!",0,None,2,Fri Mar 20 2015 12:07:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12937,/competitions/march-machine-learning-mania-2015,203rd
/jeffsonas,Day One Leader,"The day one leader, team ""Mt Everest"", seems to have adopted an interesting gambling strategy. Rather than picking one big upset with probability 99%, which we saw a lot of last year (some teams using their two submissions to try two different big first round upsets), Mt Everest picked several first round matchups with 99% probability for the favorite, giving a significant boost to their score relative to others who were not willing to predict those first round matchups so confidently. They did this for eight first-round games, five of which have already happened: #1 Villanova over #16 Lafayette#2 Arizona over #15 TX Southern#3 Notre Dame over #14 Northeastern#4 Georgetown over #13 E Washington#5 Arkansas over #12 Wofford and there are three more on Friday, though it seems the toughest ones have already been successfully navigated on Thursday. These are the three Friday ones: #1 Duke over #16 Robert Morris#1 Wisconsin over #15 Coastal Car#2 Virginia over #15 Belmont However, if the favorites win in Round 2, then this team drops way down in the standings. It's kind of hard to tell why - I think I need a better way to do a single team comparison against one of our benchmarks like the median predictions one. But I do see a 61% prediction for the definite Saturday matchup of #6 Butler over #3 Notre Dame, and a 63% prediction for the possible Sunday matchup of #7 Michigan State over #2 Virginia, which are pretty risky. Obviously we will be watching this team's performance carefully!",2,bronze,4,Fri Mar 20 2015 12:14:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12938,/competitions/march-machine-learning-mania-2015,142nd
/lazovich,Using data for other purposes,"I am wondering what the policy is for using the data collected for this contest for outside purposes. I'd like to write a blog post putting some of yesterday's results in historical context, and that historical data has already been conveniently aggregated here (thanks Jeff!). Obviously I would cite the dataset and the contest.",1,bronze,1,Fri Mar 20 2015 14:43:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12939,/competitions/march-machine-learning-mania-2015,231st
/carloshuertas,Real world log loss score meaning,"I was wondering, with this metric there are multiple very different way to get the same score, e.g, few very bad predictions vs lots almost correct predictions, both, given the number of ""few"" and ""lots"" could lead to exactly same score, however in real world they behave very different. Given this premise, my question is then...what really... in real world does this metric tell us, is really a 0.1 score twice as good as a 0.2 ?",0,None,4,Fri Mar 20 2015 16:21:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12940,/competitions/malware-classification,20th
/domcastro,Forum looking odd and unformatted,Can someone please tell me if the forum posts are looking odd? ie no voting and unformatted or is it my browser problem?,0,None,2,Fri Mar 20 2015 16:31:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12941,None,None
/tacoman206,Consistency of the leaderboard from last year to this year,"There were 67 teams with the same name on the leaderboard for this year and last year. (I also included Jason Sumpter because I know his alias from last year). I've attached a scatterplot of their consistency from year to year, measure by percentile on the leaderboard. Congrats to omes, YosarianLives, and especially Jason Sumpter/Jason_ATX for being at the top of the leaderboard consistently. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67423/2201/MarchMadnessConst.pdf",5,bronze,5,Fri Mar 20 2015 16:43:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12942,/competitions/march-machine-learning-mania-2015,147th
/iosentinel,Looking for a team,Anyone willing to let me join their team?,0,None,11,Fri Mar 20 2015 20:16:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12946,/competitions/diabetic-retinopathy-detection,644th
/hetong007,Achieve 0.50776 on the leaderboard in a minute with XGBoost,"The attached benchmark code includes a 3-fold cross-validation step and the usual training-prediction procedure. The 2nd step cost me less than a minute on an 8-core CPU. To install the R-package of xgboost, please first install the latest version of [Link]:http://cran.r-project.org/web/packages/devtools/index.html, then run devtools::install_github('dmlc/xgboost',subdir='R-package') Windows users may need to install [Link]:http://cran.r-project.org/bin/windows/Rtools/ to compile. A detailed guide is here: [Link]:https://github.com/dmlc/xgboost/tree/master/demo/kaggle-otto XGBoost also offers [Link]:https://github.com/dmlc/xgboost/tree/master/demo/guide-python. For more information of XGBoost, please visit [Link]:https://github.com/dmlc/xgboost. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67452/2205/xgboost_benchmark.R",47,gold,175,Fri Mar 20 2015 21:13:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12947,/competitions/otto-group-product-classification-challenge,300th
/danielcljc,Scoreboard representation. ,"I'm not sure if this has been brought up before, but wouldn't it make more sense to list scores as (new_format) = e^(-(old_format)) since this would correspond to the geometric mean of each competitor's predictions? I.e. I have no inherent intuition for what a log loss score of 0.6931 means, but I do have intuition for the meaning of e^(-0.6931) = 0.5. This would also map the scores to the unit interval, which seems more natural. Additionally, it might be interesting to list some sort of 'riskiness' factor for each submission (on the scoreboard or in the forum). For instance, looking at the distribution of individual game log-loss contributions for a given submission, if the variance is small (zero in the case of all 0.5 predictions) the predictions may be viewed as less risky and if the variance is large, then the predictions would be more 'risky'. This could also be termed as a measure of 'confidence' since a submission with more confident (extreme) predictions may do better in the log-loss for most of the games, yet get ding-ed on a small number of upsets and end up with the same overall log-loss as a submission with less risky/extreme/confident predictions.",2,bronze,4,Fri Mar 20 2015 23:32:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12950,/competitions/march-machine-learning-mania-2015,None
/wcukierski,Round of 32 Predictions,Here are the prediction histograms from all Kaggle participants for the round of 32. [Link]:https://storage.googleapis.com/kaggle-media/old-azure-general-images/kaggle_round_of_32.png,8,silver,3,Sat Mar 21 2015 06:13:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12953,/competitions/march-machine-learning-mania-2015,None
/augustodias,Selecting a Submission,"Hey folks, don't forget to select which submission you want to be your official one. You can do that in the menu 'My Submissions'. The system does not select you best submission as the selected submission automatic. Cheers.",0,None,1,Sat Mar 21 2015 06:29:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12954,/competitions/thinkbigusyd,244th
/vinhnguyen,Some useful reference,"Some papers I've found particularly relevant to this competition: Learning to detect malicious executables in the wild http://www.jmlr.org/papers/volume7/kolter06a/kolter06a.pdf Malware Analysis and Classification: A Survey Journal of Information Security, 2014, 5, 56-64 Published Online April 2014 in SciRes. http://www.scirp.org/journal/jis http://dx.doi.org/10.4236/jis.2014.52006 Hopes this give some new ideas to try",6,bronze,10,Sat Mar 21 2015 12:13:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12956,/competitions/malware-classification,110th
/domcastro,How many matches did people predict correct in Round 1?,"I'm quite pleased that I predicted 27/32 matches correctly. 3 out of 4 of my ""shocks"" went the right way UCLA, Dayton and Ohio St. I was very wrong on the Davidson match though. The other 4 I got wrong were the first #14 vs #3 ones, and a couple of #8 vs #9 I think I also should have manually increased my probabilities for the #1 seeds as my biggest probability was .93. I think I could have scraped a few more LB places if I'd been more confident. A general thought on basketball - I bet the coaches have heart attacks as much as our Premier League managers do.",2,bronze,11,Sat Mar 21 2015 13:08:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12957,/competitions/march-machine-learning-mania-2015,8th
/bellar,Leaderboard metric?,"Hi, I was wondering what the loss metric is for this competition?",0,None,6,Sat Mar 21 2015 16:13:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12958,/competitions/otto-group-product-classification-challenge,287th
/wcukierski,What's more impressive than winning March Mania?,"Sneaking logistic regression into the Sunday print edition of the NY Times! Congrats to [Link]:https://www.kaggle.com/users/176222/michael-lopez and [Link]:https://www.kaggle.com/users/8723/statsinthewild (last year's champs, ""One Shining MGF"") on a really nice article: http://www.nytimes.com/2015/03/22/opinion/sunday/making-march-madness-easy.html",9,silver,6,Sat Mar 21 2015 17:03:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12959,/competitions/march-machine-learning-mania-2015,None
/alexcoventry,Crop circles,"What's a quick way to determine the circular boundary of the actual image? It would make it much easier to normalize the image sizes to have that. Commands like ""convert -trim -fuzz '1%' test/10001_left.jpeg /tmp/tst.jpg"" kind of work, but with some images the fuzz factor needs to be much higher, whereas with darker images a high fuzz factor causes cropping of the actual image circle.",0,None,3,Sat Mar 21 2015 17:30:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12960,/competitions/diabetic-retinopathy-detection,None
/wwwbigcupcommittee,Call for Solutions - BIG @ WWW2015,"Dear contestants, We would like to invite you to submit your description of solution for presentation at BIG 2015 (co-located with WWW 2015). Solutions selected for presentation will be given a chance to be presented, by the author at BIG, in front of world class academic and industrial leadership (check out the list of respected companies sponsoring the conference). WWW 2015 is an exciting place for data scientists. In addition top-notch research presentations on where the new frontiers of web technology, people looking for a phd, post-doc or an industrial position can take advantage of this presentation opportunity to have high-quality exposure and networking. The selection is based on data science merit - not only predictive accuracy, so even if you are not in the very top of the leaderboard, you are most welcome to submit and present your creative ideas. Obviously, we would love to meet the prize recipients in person and have a chat in Florence! A solution description should be 2-4 pages long, explaining the solution ideas, as well as the process that led to it (yes, it's perfectly fine to describe failing attempts for everybody to learn from). All the material is kept strictly confidential until the presentation, so no ideas will be passed to other contestants. Please submit to: malwarecompetition@outlook.com",2,bronze,13,Sat Mar 21 2015 19:00:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12961,/competitions/malware-classification,None
/aseem1,Information on Values in 93 features,"Would it be possible to get some more information on the values. like is a value 14 totally different from 15, or is it ok for values from 10-20 to be considered as one representation.Or a value 14 is sligthly different from value 15 but completely different from value 20. In some cases or all, Would changing a feat_20 value from 10 to 11 result in change of a class? I am using human brain inspired algorithms built by me, so Above information would really help. Thanks",1,bronze,4,Sat Mar 21 2015 19:54:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12962,/competitions/otto-group-product-classification-challenge,None
/domcastro,Come on Cincinnatti,Let's have some real Madness,0,None,3,Sat Mar 21 2015 21:09:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12963,/competitions/march-machine-learning-mania-2015,8th
/mostafafr,Using Spyder IDE on AWS EC2,"I want to use Spyder (or similar IDE) on my AWS EC2 instance (instead of my local laptop), in order to benefit from the GPU. Now I copy-paste code in the EC2 console, and it is not convenient. (I use Ubuntu) What solution are people using?",1,None,1,Sat Mar 21 2015 22:52:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12965,None,None
/muzzadonthebeat,Promotion,How do we know if a product is on promo for this week (i.e. the week we are trying to predict sales for)?,0,None,1,Sun Mar 22 2015 02:30:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12966,/competitions/thinkbigusyd,62nd
/charlesroberson,Bittersweet NC State,"Well, my predictions had Villanova at 81% and 75%, but I live 50 miles from Raleigh NC, so there is good in it. Also, NC State has a rep for upsets, so this team just might be a bracket killer.",1,bronze,2,Sun Mar 22 2015 02:41:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12967,/competitions/march-machine-learning-mania-2015,202nd
/muzzadonthebeat,Promotion continued,Is the idea that we are supposed to predict when products will be on promo and factor this in (seeing as this has a substantial effect on sales)?,0,None,5,Sun Mar 22 2015 04:23:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12968,/competitions/thinkbigusyd,62nd
/soccerbuff,Challenge Hunt - Chrome Extension for Kaggle contests,"Hi all! We all love to participate in programming challenges, don't we? The only problem is that we are often not aware about the numerous online programming challenges that happen regularly and only participate in the few challenges that are popular. Challenge Hunt is the solution. Challenge Hunt is a chrome extension which shows you all the active and upcoming challenges from 25 platforms includings kaggle, topcoder, codeforces and the likes. EDIT[21/04/2015]: We have now added the support to save upcoming challenge in your Google Calendar. Just click on the bell icon in the upcoming tab for the challenge you want to save. You can install the extension from here: http://bitly.com/1E3T9sQ Blog post about Challenge Hunt: http://bit.ly/1IBxjy4",13,silver,10,Sun Mar 22 2015 04:31:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12969,None,None
/jlstair,Not Enough Madness,"This is my first year in the contest, and I'm having a great time, but I thought I would throw out a couple ideas for next year to make it even more fun. Why limit ourselves to the NCAA tournament? I think everybody would be able to generate predictions for the NIT, CBI and CIT matchups pretty easily if they've come this far. How about submitting the predictions before the bracket comes out? A lot of people are ignoring seeding information anyway. There are certainly some downsides to these suggestions, but the main benefit (aside from increasing madness for its own sake) is that these changes would slow down the people who are manually making adjustments to give themselves a better shot at finishing on top of the leaderboard.",0,None,4,Sun Mar 22 2015 04:56:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12970,/competitions/march-machine-learning-mania-2015,85th
/skidanovalex,Ranking points?,It seems like the prizes page and the home page disagree on whether any ranking points are awarded in this contests. The prizes page says: Stage 2 is weighted to award 50% of the usual competition points (on account of the element of luck involved). It does not count towards earning the Kaggle Masters tier. While on the home page it says Points: this competition does not award ranking points Which one is correct?,1,bronze,3,Sun Mar 22 2015 07:22:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12972,/competitions/march-machine-learning-mania-2015,41st
/ranlocar,A thought on validating before submission,"Since the train and test data sets have been 'randomly selected' (quote the Data page of the competition: ""The products for the training and testing sets are selected randomly.""), we can expect to find a similar distribution of classes between the two. Looking at the train-set, I see the following distribution: Class_1 0.031Class_2 0.261Class_3 0.129Class_4 0.043Class_5 0.044Class_6 0.228Class_7 0.046Class_8 0.137Class_9 0.080 After applying a model, we can get a distribution of classes in the result set, by checking, per product, which class gets the highest probability: v1 = apply(df.result[2:10],1,FUN=which.max) table(v1)/sum(table(v1)) From the models I have submitted so far, the closer this distribution is to the distribution in the train set, the better result I get. Of course, this is NOT a perfect indicator. Matching the train set distribution perfectly can still yield horrible results. But still, I feel it is worth checking.",2,bronze,1,Sun Mar 22 2015 08:29:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12973,/competitions/otto-group-product-classification-challenge,1596th
/xshichen,Drivers' acceleration histogram,"Congratulations to winners ! Thank you for people posting their solutions and discussions on this forum, and on github. I have a question for the calculation of acceleration. I did sqrt(diff(diff(x))^2+diff(diff(y))^2) per second. And I found a lof of drivers' histograms with obvious modes. I find this very intriguing. Did someone use this particularity and have some explanation for this ? Thank you [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67602/2213/Rplot01.jpeg",0,None,2,Sun Mar 22 2015 10:43:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12974,/competitions/axa-driver-telematics-analysis,None
/valkyre,I am looking for a team,"I love to work on tough problems, but I lack the computing power. Please let me join your team. You can thank me later :-)",0,None,2,Sun Mar 22 2015 15:29:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12976,/competitions/diabetic-retinopathy-detection,None
/tonyrobinson,Cantab's approach,"We really haven't done any work on this task since last summer when we slipped from the top of the leaderboard. As there is only 40 days to go and we almost certainly have the best language model anyone has created on this task, a combination of a well trained huge recurrent neural network and a KN 5-gram (see http://code.google.com/p/1-billion-word-language-modeling-benchmark/ and our ICASSP paper athttp://arxiv.org/abs/1502.00512 for details) I thought I'd throw out what we've done and what we haven't done. What we've done is the (to me) obvious approach. We have the best language model, so we built a network that contained all words in all possible locations and then asked the language model to return us the 100 most likely sentences. Each of these has a corresponding likelihood so we divide by the sum to get an approximate posterior of each. If the posterior for the top one is greater than 0.5 we use it, else we do nothing. That's it - one big fancy language model, one search and one comparison - there was almost no Kaggle specific work involved as we had all the tools and language models already. Now we planned all sorts of work, but then my company took off big time and it doesn't look like it's going to slow down any time soon. Some easy things to do given what we have are: a) maintain any extraneous white space in the input, we assumed that things were clean when they were not. b) if the posterior for a slot is greater than 0.5 then put in two spaces for this slot. c) extend (b) to say for the most likely slot, put in any character that has a posterior greater than 0.5, whether the resulting word makes sense or not. So with very little work we got 1.1 better than the benchmark, whether these simple extensions would progress us far I don't know (we need another 0.4 to get to the top again). But I would like to find out in the next 40 days, so if anyone (a) understands everything I've said without needing tuition, (b) has a reasonably specced Linux machine with good connectivity and (c) has the time right now then do get in touch. Tony www.speechmatics.com",1,bronze,9,Sun Mar 22 2015 15:39:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12977,/competitions/billion-word-imputation,4th
/domcastro,Chance of another shock in the East?,My Michigan St choice is looking more and more dubious now Villanova have gone. Luckily it's at 0.56 so hopefully won't be too much damage,0,None,11,Sun Mar 22 2015 17:06:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12978,/competitions/march-machine-learning-mania-2015,8th
/abheet,Not able to run GPU at my laptop,I am trying to run GPU on my laptop and then want to install theano on it. If somebody has done it please can you walk me through some starting steps.,0,None,4,Mon Mar 23 2015 06:45:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12981,/competitions/facial-keypoints-detection,None
/tavish,Any one wants to Team Up?,I have had great experience participating in different competition after teaming up. Anyone wants to team up on this one?,0,None,33,Mon Mar 23 2015 11:51:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12983,/competitions/otto-group-product-classification-challenge,483rd
/markvangrinsven,Publication,"Hi, I'm currently working on this Kaggle challenge. Is it allowed to also write a publication about my methods on it?",3,bronze,4,Mon Mar 23 2015 14:06:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12984,/competitions/diabetic-retinopathy-detection,None
/knadeem,Would glmnet work?,"Hi Kagglers, I just tried lasso via cv.glmnet in R and got a score of .638 on the leadboard. Are there any strategies that I can employ to improve upon this score using glmnet, e.g. by using some sort of ensemble approach?",0,None,8,Mon Mar 23 2015 15:27:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12985,/competitions/otto-group-product-classification-challenge,2465th
/cdubois,Code for leaderboard score of 0.45612 in 3 minutes,"Hi all, This is a quick followup to a previous post. I found some better parameter settings, and have created an updated code sample that I thought might be useful. [Link]:https://gist.github.com/chrisdubois/6b93a8028f4dc40cab49 The code shows the following performance on an internal train/test split: {'train_logloss': 0.15001388102390287, 'valid_logloss': 0.47329078126505486} The output while training the final model should look like: PROGRESS: Boosted trees classifier:PROGRESS: --------------------------------------------------------PROGRESS: Number of examples : 61878PROGRESS: Number of classes : 9PROGRESS: Number of feature columns : 93PROGRESS: Number of unpacked features : 93PROGRESS: Starting Boosted TreesPROGRESS: --------------------------------------------------------PROGRESS: Iter Accuracy Elapsed timePROGRESS: 0 7.496e-01 1.03sPROGRESS: 1 7.893e-01 1.93sPROGRESS: 2 8.038e-01 2.77sPROGRESS: 3 8.126e-01 3.59sPROGRESS: 4 8.197e-01 4.46sPROGRESS: 5 8.255e-01 5.34sPROGRESS: 6 8.301e-01 6.19s .... PROGRESS: 247 9.636e-01 190.94sPROGRESS: 248 9.638e-01 191.73sPROGRESS: 249 9.638e-01 192.46s The code snippet uses the [Link]:https://dato.com/products/create/docs/generated/graphlab.boosted_trees_classifier.BoostedTreesClassifier.html in [Link]:https://dato.com/products/create/quick-start-guide.html. Let me know if you have any questions or if you have trouble reproducing this result. Chris",13,silver,127,Mon Mar 23 2015 18:26:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12989,/competitions/otto-group-product-classification-challenge,855th
/inversion,RandomForest - Question about theory,"I'm trying to get my ahead around the following observation - RandomForest with X columns gives 7-fold CV score of, say, 0.500. RandomForest with X + 1 columns, with the same parameters, gives score of, say, 0.510. What is the reason adding a single column can make you score worse? Could it be because the information allows more over-fitting? Is it because it is harder for the RF to find the useful information? It seems counter-intuitive to me.",1,bronze,8,Mon Mar 23 2015 18:36:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12990,/competitions/otto-group-product-classification-challenge,16th
/wcukierski,Who can beat Kentucky?,We've blogged some analysis of your predictions for Kentucky against the world: [Link]:http://blog.kaggle.com/2015/03/23/who-can-beat-kentucky/,2,bronze,1,Mon Mar 23 2015 19:58:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12991,/competitions/march-machine-learning-mania-2015,None
/jiweiliu,headers are not consistent  ,"in train.csv: Id,Open Date,City,City Group, in test.csv: Id,Open_Date,City,City_Group, Edit: when this is fixed, I'll publish my benchmark :D",4,bronze,3,Mon Mar 23 2015 20:16:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12992,/competitions/restaurant-revenue-prediction,383rd
/hmupakura,Looking for a partner(s),Anyone wants to partner with me on this project?,1,None,29,Mon Mar 23 2015 20:31:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12993,/competitions/restaurant-revenue-prediction,None
/jiweiliu,beat the benchmark,"Hey, here is my btb: a simple sklearn random forest benchmark, which gets my current score. Cheers. :D Looking forward to a semi-supervised learning benchmark [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67762/2221/Rfbenchmark.py",14,gold,16,Mon Mar 23 2015 20:35:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12994,/competitions/restaurant-revenue-prediction,383rd
/jessicaluo,Classification accuracy in top 10 teams,"Hi all, As promised, here are the overall classification accuracies for the top 10 teams in the competition. I used all of the test data for this - Public and Private. 1. Deep Sea 81.52% 2. Happy Lantern Festival 81.01% 3. Poisson Process 80.84% 4. Junonia 80.49% 5. Deepsea Challenger 80.17% 6. AuroraXie 80.32% 7. Maxim Milakov 80.13% 8. Ilya Kostrikov 80.50% 9. oldufo 80.27% 10. nagadomi 80.09% But perhaps more interesting to you is the following figure (attached). I calculated the average precision per class in the top 10 teams and plotted each team's per-class precision relative to the mean. The scaling is per row, and the green values are high precision, and red values are low precision. White values are NAs - meaning that the team did not successfully predict any of the images in that class. (This was fairly rare and only occurred for hydromedusae_other, fish_larvae_deep_body, and a couple more scattered classes.) I thought this heatmap was a more interesting way of looking at how the top 10 teams performed rather than a big table of numbers. All of us in the Plankton team (Robert Cowen's research group at Hatfield Marine Science Center, OSU) were incredibly impressed by the performance of all the participants (not just the top 10!) in this difficult classification challenge. We look forward to seeing the winners' code and documentation - as well as anyone else who wants to share their code on github. We are also encouraging teams to publish their approaches in scientific journals and conferences. Feel free to contact me (jessica.luo [at] rsmas.miami.edu) or Kelly Robinson (kelly.robinson [at] oregonstate.edu) if you need any details on the images (collection, processing, segmentation, etc). We are currently planning a publication on our initial processing scheme for submission in June, so if you need any information prior to that, just let us know. Thanks and congratulations, Jessica [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67763/2222/heatmap_diffPrecision.pdf",16,gold,11,Mon Mar 23 2015 20:42:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12995,/competitions/datasciencebowl,None
/domcastro,What happened to Connecticut this year?,"I was just looking at the list of past winners - what happened to Connecticut this year? I tried to find information on the net, but didn't find any.",0,None,3,Mon Mar 23 2015 20:48:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12996,/competitions/march-machine-learning-mania-2015,8th
/devinanzelmo,Small training set size,I am just curious if there is a reason for the size of the training set. Some of the categorical features which are in the test set are not present in the training set. I think it will be interesting learning experience to try to generalize from such a small sample. I am just unsure why a few more examples where not included in the training set. any ideas?,2,bronze,19,Mon Mar 23 2015 21:36:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12998,/competitions/restaurant-revenue-prediction,891st
/frankportman,Script to convert .csv input into Vowpal Wabbit format,Does anybody have any tips for doing something like this? I took a look at Phraug and Phraug2 but they seem to not be able to handle the 9 categorical targets.,1,bronze,2,Mon Mar 23 2015 21:50:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/12999,/competitions/otto-group-product-classification-challenge,2447th
/carloshuertas,Regression Methods other than Scikit,"Do you know some algorithms over there for regression, other than the ones from Scikit-learn? Most of my work is in classification, so, for this kind of problem I am currently stuck with Scikit only.",0,None,5,Mon Mar 23 2015 22:14:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13000,/competitions/restaurant-revenue-prediction,15th
/aurelia2,Run-time?,"Hi All, First, everyone here in the Cowen-Sponaugle Research Group at Hatfield Marine Science Center would like to thank all of the participants of the National Data Science Bowl. Amazing to see what the data science community is capable of. A question for our top three teams: ""Deep Sea"", ""HappyLanternFestival"" and ""Possion Process"" as well as the top US university team. What is the average run-time for your top submissions? Because one of our goals is to acquire and process the plankton imagery data in near real-time, we are curious to know how close we are to reaching that goal. All the best, Kelly Robinson, OSU Hatfield",0,None,7,Mon Mar 23 2015 23:26:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13002,/competitions/datasciencebowl,None
/wcukierski,Sweet 16 Predictions,Here are the prediction histograms from all Kaggle participants for the Sweet 16. [Link]:https://storage.googleapis.com/kaggle-media/old-azure-general-images/kaggle_round_of_16.png,7,silver,13,Mon Mar 23 2015 23:36:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13003,/competitions/march-machine-learning-mania-2015,None
/yfmayes,Clarifying question on use of R,Does this term disqualify R and Python for use in the competition? OPEN-SOURCE CODE A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license: * other than an Open Source Initiative-approved license (see <http://opensource.org/>); or* an open source license that prohibits commercial use.,0,None,3,Tue Mar 24 2015 00:26:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13005,/competitions/restaurant-revenue-prediction,None
/emolson,Viewer for training data,"If like me you're getting started late on this competition, this might be useful to you. I made a simple html viewer to be able to scroll through the training data and compare images of different classes side by side. [Link]:https://github.com/ebenolson/kaggle-drc-viewer Screenshot:",13,gold,1,Tue Mar 24 2015 00:59:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13006,/competitions/diabetic-retinopathy-detection,None
/jeffsonas,How did these teams get to the top of the leaderboard?,"Hi everyone, you may be wondering why your submission didn't do as well as the top 10. Or you may be wondering how the top 10 did so well. Either way, here is a file that can help you understand this. The first tab lists out the current Top 10. For each of these ten teams, it lists out their prediction (from the perspective of the winning team, so higher prediction is always better), their Binomial Deviance gain/loss relative to the average, and their Binomial Deviance contribution from that game. If you would like to take your own best submission, and compare it against them, you can go to the second tab, filter on your team name (by picking from the drop-down-list in cell B1), and then copy and paste the visible 48 cells from the three columns (C/D/E) into cells D3:F50 in the first tab (the yellow cells). If you have already sorted the rows in the first tab, make sure you sort by column A (the game description) before pasting. So for example, the average overall score right now is 0.610535, and the leader (Zach B) has a score of 0.428974. This represents a total difference of 48 * (0.610535 - 0.428974) = 8.71. So Zach B has outperformed the average by a total of 8.71, which is made up of some big gains (+1.76 from a successful 100% prediction for #14 Georgia St over #3 Baylor), a bunch of minor gains, and even some cases of doing worse than the average. As an example, Zach B lost 0.39 relative to the average performance, with a 95%+ prediction for Iowa St over UAB. By the way, this is taking only your current best-performing submission. Some people have a second submission that is in the top 10, but it doesn't count in this analysis because they have another submission doing even better. And in the full list of everyone, in the second tab, it is only each team's best-performing submission. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67829/2225/Game scores after 48 games.xls",3,bronze,6,Tue Mar 24 2015 01:05:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13007,/competitions/march-machine-learning-mania-2015,142nd
/dsjoerg,Congrats to the winner,Very well fought! Looking forward to everyone sharing their methods and insights.,3,bronze,20,Tue Mar 24 2015 01:12:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13008,/competitions/finding-elo,2nd
/msegala,Deep Learning Strategies,"Hi everyone, I was hoping some people who like to share some deep learning strategies and if they are having any success with them. I am currently using a purely Theano based implementation of an deep belief network (RBM fed into multiple hidden layers). So far I have been experimenting with adjusting number of hidden layers (either 2 or 3), size of layers (from 100 to 1000), adding dropout to the hidden layers, values of tuning parameters, ect. Using only the raw input, my best model scores around ~0.48 (which is not as good as I was hoping). Has anyone had any better success so far? I was also wondering how people pre-process their data? I have tried both mean/variance scaling and scaling each feature to [0,1]. They seem to give quite different final log loss results so I was wondering there is a proper standard approach?",1,bronze,20,Tue Mar 24 2015 01:12:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13009,/competitions/otto-group-product-classification-challenge,898th
/asimkievich,question to experienced kagglers (and anyone who wants to take a shot),"hi everyone, I do not get the beat the benchmark code that gives you a score of 0.456 (on Graphlab create). I did not try it myself, but there is something I do not get. The code is available at: https://gist.github.com/chrisdubois/6b93a8028f4dc40cab49 It does no feature engineering, it does not even use that many trees, how does it achieve such a score? I am currently at 0.53 and it required feature engineering and more horsepower than 250 estimators. In my first submission, I tried a random forest approach on sklearn (no feature engineering) and I scored an aweful 7. How can you get 0.45 just with a simple gbc is beyond me. anyone can comment? For the record, I am not using that sample code, want to get past 0.45 in the old fashion way.",7,silver,27,Tue Mar 24 2015 04:24:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13012,/competitions/otto-group-product-classification-challenge,87th
/sandeepkumar,Variables P1- P37,"Hi Team, Can someone tell me what does these P1-P37 variables means? What does the values in these variables indicates?I hope they are continuous variables. But I want to what does each variable P1,P2...... indicates which is not clear in the description page. Please help me on this. Thanks, Sandeep",3,None,16,Tue Mar 24 2015 05:39:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13014,/competitions/restaurant-revenue-prediction,None
/briannanoland,Convert method error when reading image files,"When I run the following line of code, I get an error message: #Read training matrixxTrain = read_data(""train"", labelsInfoTrain, imageSize, path) The error is ""`convert` has no method matching convert(::Type{Float64}, ::RGB4{Float32})"". The error is from this portion of the read_data function: #Transform image matrix to a vector and store #it in data matrix x[index, :] = reshape(temp, 1, imageSize) end Any ideas what the issue might be?",2,bronze,3,Tue Mar 24 2015 06:05:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13015,/competitions/street-view-getting-started-with-julia,None
/pranavj,Neural nets in sklearn,"Hi Everyone, Is there an easy way to design and deploy neural net architectures using the sklearn package in python? If not, what are the best ways of going about it? Thanks in advance!",0,None,42,Tue Mar 24 2015 07:50:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13016,/competitions/otto-group-product-classification-challenge,1146th
/livingmine,Unable to download train.csv and test.csv,... But able to download sampleSubmission. Anyone experiencing the same issue?,0,None,1,Tue Mar 24 2015 08:39:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13017,/competitions/restaurant-revenue-prediction,864th
/willieliao,City names,This competition does not allow external data yet we're given the city names. Does that mean we can infer countries/regions but not use demographic data? Or maybe this is some elaborate honey trap to catch cheaters and I just let the cat out of the bag.,4,bronze,26,Tue Mar 24 2015 09:02:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13018,/competitions/restaurant-revenue-prediction,113th
/pierregutierrez,Number of lines is not correct in challenge description,I just want to report that there are actually 137 restaurants in training set. The Id field starts at 0.,1,None,2,Tue Mar 24 2015 10:40:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13020,/competitions/restaurant-revenue-prediction,353rd
/klubow0,Revenue cumulative ?,Is revenue value cumulative or yearly/monthly ? If cumulative open date would mean something.,0,None,2,Tue Mar 24 2015 12:01:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13021,/competitions/restaurant-revenue-prediction,770th
/shantanuk,Not able to make a submission,"When i try to make a submission using the submission format given, it throws an error and I dont know what could be the reason. Can anyone please help me out here. I have attached the error i am getting. Thanks Shantanu [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/67942/2235/Doc1.docx",0,None,1,Tue Mar 24 2015 12:24:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13022,/competitions/bike-sharing-demand,2640th
/rohityes,Azure ML?,Hi...Is anybody using Azure ML for this competition? BTW can we use Azure ML for this competition? Link:https://studio.azureml.net Rohit,1,bronze,4,Tue Mar 24 2015 13:21:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13023,/competitions/otto-group-product-classification-challenge,1544th
/shantanuk,submission not possible,"When i upload my results as per the format that has been provided, I get this result: ""Unable to find 6493 required key values in the 'datetime' columnUnable to find the required key value '2011-01-20 00:00:00' in the 'datetime' column"" Can some one please tell me the reason behind this.",1,None,6,Tue Mar 24 2015 14:33:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13024,/competitions/bike-sharing-demand,2640th
/odiseo1982,En busca de compañía,"Hola a tod@s. Alguien interesado en formar equipo conmigo, ¿en español? Soy economista con experiencia en manejo de datos. Un saludo.",1,bronze,7,Tue Mar 24 2015 15:48:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13025,/competitions/restaurant-revenue-prediction,301st
/hekimgil,Test data missing the feature that needs to be tested?!?,"Am I missing something? I downloaded the test data in the morning and to my surprise it is missing a single feature, revenue, which is the most crucial one needed for testing?",2,bronze,6,Tue Mar 24 2015 16:05:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13026,/competitions/restaurant-revenue-prediction,1262nd
/michalis556,Revenue Calculation,"Hi, Can anyone clarify how is the revenue calculated? I think it is very important. I can think of three different options: 1.Cumulative since the day the shop has opened 2.Average revenue since the day the shop has opened 3.Last year's revenue I understand that it was transformed and it is not an actual figure but a clarification of what it stands for would still be helpful.",2,bronze,4,Tue Mar 24 2015 16:11:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13027,/competitions/restaurant-revenue-prediction,875th
/inspector,Use of Vowpal Wabbit Versus LR,I tried to use VW for this competition with --oaa and was surprised how bad the result. I did shuffle the data before the sampling into train and test and tried multiple passes but the predictions were all either about equal between the 9 classes or ~0.9999999999 for one class and 0.00000000001 for the others.. The multi class log loss calculated on the test set was 2.19! I know this type of data is not where VW excel but I was surprised by the result where running scikit learn LR achieved a 0.68 mcll on the same samples. Has anyone tried VW and did they get these same bad results?,1,bronze,49,Tue Mar 24 2015 16:52:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13028,/competitions/otto-group-product-classification-challenge,None
/ddebeul,Evaluation - y_ij matrix,"Hello, I didn't really get the chance to participate on this challenge (my inscription was too late) and I wish to continue on my own. Is it possible to have from you the y_ij matrix from the evaluation equation (logloss) which allow me to continue. Thanks, ilank",0,None,1,Tue Mar 24 2015 17:07:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13029,/competitions/datasciencebowl,None
/nataliya1,Unable to submit predicted data,"Hi guys, How do you submit the data? I saved my forecasted data in CSV format and tried to submit it. However, I got the error message telling about unexpected 'sales' column. The message actually doesn't make sense at all. I checked my file - everything exactly like in the prediction sample file.",0,None,7,Tue Mar 24 2015 17:43:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13030,/competitions/thinkbigusyd,7th
/inversion,I entered a Kaggle contest . . . and all I got was . . .,a t-shirt that fits my kid. (But very happy none-the-less!),9,silver,9,Tue Mar 24 2015 19:40:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13032,/competitions/datasciencebowl,290th
/kevinsoucy,Inverted Image Orientation,"Can anyone clarify the difference between an inverted image and non-inverted image? Are they mirror images of each other horizontally, eg the top of the image becomes the bottom?",0,None,4,Tue Mar 24 2015 20:43:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13033,/competitions/diabetic-retinopathy-detection,142nd
/sporeza,Is 0 the place holder for missing values,Some the P1 - P37 variables have quite a lot of 0 values. Are these a shortcut for missing values or are the values actually zero?,10,silver,18,Tue Mar 24 2015 22:04:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13034,/competitions/restaurant-revenue-prediction,1498th
/ekremozer,Welcome to the TFI competition!,Dear Participants Welcome to the TFI Restaurant Revenue Prediction competition. Your task is to predict the annual revenue of a particular location given a set of datapoints associated with that location. It is encouraging to see strong interest and engaging questions in the forum..Looking forward to working with you in the next few weeks. Your competition host Ekrem Ozer,-4,None,22,Tue Mar 24 2015 22:49:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13035,/competitions/restaurant-revenue-prediction,None
/hikerclimb,Revenue Column Question,1) Assuming Revenue is never below 0 but the proportions are kept same: Revenue: This is the target for prediction. Please note that the values are transformed so they don't mean real dollar values.,-2,None,6,Tue Mar 24 2015 23:12:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13036,/competitions/restaurant-revenue-prediction,None
/myakoub,Strange behaviour when using XGboost,"I've tried to use the XGBoost library, I've used the python wrapper (not using graph lab create), The problem is that whenever I run a cross validation score I find that the results are totally and strange and also there's a huge gap between LB and CV scores, for example Loss:4.263831Loss:0.000082Loss:0.000079Loss:0.000083Loss:4.637940Avg. score 1.780403Std 2.183647 I'm using the usual Params: param['objective'] = 'multi:softprob'param['eval_metric'] = 'mlogloss'param['nthread'] = 16param['num_class'] = 9 num_round = 50 Does anyone faces the same problem?",0,None,8,Tue Mar 24 2015 23:27:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13037,/competitions/otto-group-product-classification-challenge,480th
/asimkievich,XGBoost installation detailed instructions for non-techies?,"OS: Windows Python interface Using Anaconda distribution error message: Traceback (most recent call last): File ""C:/......./Kaggle/Otto/xgb.py"", line 28, in <module> xg_train = xgb.DMatrix(train, label=labels) AttributeError: 'module' object has no attribute 'DMatrix' Process finished with exit code 1 Thanks!",0,None,3,Tue Mar 24 2015 23:32:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13038,/competitions/otto-group-product-classification-challenge,87th
/marubevilacqua,What coding programs can be used in this competition?,"This is my first time in Kaggle, and would like to know what programs can be legally used for this competition. R would be ok? Thanks!",1,bronze,3,Wed Mar 25 2015 01:57:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13040,/competitions/otto-group-product-classification-challenge,None
/motus2,"Use the prior, Luke!","I guess this is another example of how getting more data beats the sophisticated models. :) Attached are the augmented versions of the test and training data sets, with some extra features added. Could you guys play with the data and share your results? I am eager to see your models and how they perform. The priors come from http://www.measureofamerica.org/measure_of_america2013-2014/ ; I did the join on state, gender, and race. Other than that, my model was just a simple random forest on all variables, with the hyperparameters (number of trees and number of variables to consider on each level) chosen by grid search on 10-fold XV error. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/68144/2240/extended-test.csv.bz2 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/68144/2241/extended-train.csv.bz2",1,bronze,1,Wed Mar 25 2015 03:56:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13042,/competitions/competition-1-mipt-fivt-ml-spring-2015,1st
/asimkievich,run xgboost from Windows AND Python,"Hi there ye Windows Pythonians, It turns out I found out how to install XGBoost on Windows and Python. Here are the instructions: BTW: Huge KUDOS to Tianqi Chen from XGBoost. Not only is he the main contributor, but also has the time and the patience to guide folks who are as lost as I was. 1) Download Visual Basic Studio. You can download the community edition @ https://www.visualstudio.com/en-us/news/vs2013-community-vs.aspx. There is a ""free visual studio button on the upper right corner"" 2) Copy all content from https://github.com/dmlc/xgboost/tree/master/windows and Open Visual studio existing project on Visual studio 3) There are a couple of drop down menues you need to select ( ""Release"" and ""X64"" and then select build --> build all from the upper menu. It should look something like the attached screenshot. 4) if you see the message ========== Build: 3 succeeded, 0 failed, 0 up-to-date, 0 skipped ==========, it is all good 5) Open your favorite Python EDI and start coding. Very important: you need to point the following command sys.path.append('C:\\.........\\xgboost\\wrapper') to the wrapper directory, wherever it is 6) then check at a few sample scripts at https://github.com/dmlc/xgboost/tree/master/demo/guide-python to see how you import the package as well as the main commands. Good luck. Best, A PS: now I feel like I deserve that 0.45 :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/68150/2242/VS XGBoost.jpg",45,gold,106,Wed Mar 25 2015 04:20:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13043,/competitions/otto-group-product-classification-challenge,87th
/venkatesht,Understanding glm() model -  Generalized linear model,"While learning Logistic regression model I came to know that glm() model is used for predicting binary outcomes. When I used glm() model to predict, I got the prediction summary statistics different from that of the linear model. It included the following: Null deviance, Residual deviance While I searched online I found Null Deviance is what you get from Intercept only model. Here I don't understand what do they mean by Intercept only model [example: data <- glm( response ~ 1 , ......)]. What do they mean by that. Any help would be much appreciated.Thank you.",0,None,6,Wed Mar 25 2015 06:08:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13044,/competitions/titanic,None
/venkatesht,Deviance in glm() model,"While learning Logistic regression model I came to know that glm() model is used for predicting binary outcomes. When I used glm() model to predict, I got the prediction summary statistics different from that of the linear model. It included the following: Null deviance, Residual deviance While I searched online I found Null Deviance is what you get from Intercept only model. Here I don't understand what do they mean by Intercept only model [example: data <- glm( response ~ 1 , ......)]. What do they mean by that. Any help would be much appreciated.Thank you.",0,None,2,Wed Mar 25 2015 06:19:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13045,/competitions/otto-group-product-classification-challenge,1189th
/erdman,handicapping the handicappers -- potential spoilers itt,"No basketball today, the suspense is killing me. 32,768 different ways the tournament could play out from here. The next post will detail my calculation of dollar EV's for those entrants that still have a chance of winning a cash prize for 1st or 2nd place. Yes, I weighted the scenarios by my (current, approximate) estimation of their probabilities, so if you don't like what you see, I probably got them all wrong. However, these calculations aren't very sensitive to those probabilities ... even if you assume every game is a coin-flip, the list doesn't look a whole lot different. I think the list is interesting both because some entrants that are quite low on the current leaderboard actually have high EV, and conversely, some current leaders have little or no actual EV. Read that again. If you are among the leaders on the current leaderboard and it's going to spoil the tournament to find out you have little/no chance of winning, probably wise not to continue further in this thread.",4,bronze,51,Wed Mar 25 2015 07:25:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13046,/competitions/march-machine-learning-mania-2015,81st
/analyticbastard,Mobile restaurants not present on training file,I noticed that the so-called mobile restaurant type wasn't present on the train size. That makes it difficult for the use of the Type column data in the regression.,5,silver,4,Wed Mar 25 2015 10:01:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13048,/competitions/restaurant-revenue-prediction,688th
/aliyaseen,using various tools,"Hi All & David Kohn, My question pertains to the tools we can use: I know there will be a lot of people using excel & a number using R (free). Are we also able to use Matlab &/or SAS? Though these tools are usually paid, they are made available to USYD business school students at the eco labs (i.e. there isn't an unfair advantage). Ali",0,None,1,Wed Mar 25 2015 11:27:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13049,/competitions/thinkbigusyd,176th
/jingking,"Data includes ""all"" restaurants?","I am asking this for an obvious reason. Any retail revenue is also strongly affect by competitions. The density of nearby competitions might be a single dominant influence over all other data provided. If the provided data covers all restaurants, then it can more directly provide this ""competition density"" parameter.If the data does not cover all restaurants, it will be useful to know which bias selects the restaurants to appear in the data. One can still try to infer it from other things, but that might be totally useless since it is strongly affected by selection bias.",1,bronze,2,Wed Mar 25 2015 11:30:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13050,/competitions/restaurant-revenue-prediction,1419th
/agamemnon,Ignored data clarification,"Hello, I am a little confused with the ""ignored data"" in the test dataset. I think it would be very useful to know whether these data represent real (i.e. collected) or fake (i.e. artificially generated) data. In case the former holds, are we allowed to use semi-supervised approaches to tackle this challenge? Thanks.",1,bronze,4,Wed Mar 25 2015 11:51:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13051,/competitions/restaurant-revenue-prediction,399th
/thomas18,Using the Data for publication,"Is it possible to compete and subsequently use the data set in a publication? Cheers,",0,None,1,Wed Mar 25 2015 11:52:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13052,/competitions/diabetic-retinopathy-detection,None
/larry77,XGBOOST and cross validation,"Dear All, xgboost is attracting a lot of attention, probably because of its spectacular performance. I am now struggling to fine tune the parameters. I am using the R bindings, but this does not change the substance of the problem. Probably I cannot handle the cross validation properly. I paste part of the output that I have > # Run Cross Validation> cv.nround = 100> bst.cv = xgb.cv(param=param, data = x[trind,], label = y, + nfold = 4, nrounds=cv.nround)[0] train-mlogloss:1.941321+0.000800 test-mlogloss:1.950387+0.001210[1] train-mlogloss:1.757557+0.001210 test-mlogloss:1.774139+0.002006[2] train-mlogloss:1.613202+0.001120 test-mlogloss:1.636844+0.002843[3] train-mlogloss:1.493793+0.001858 test-mlogloss:1.523729+0.003086[4] train-mlogloss:1.392420+0.001748 test-mlogloss:1.428389+0.003183[5] train-mlogloss:1.305240+0.002079 test-mlogloss:1.346808+0.003993[6] train-mlogloss:1.229256+0.002150 test-mlogloss:1.275909+0.004712[7] train-mlogloss:1.161604+0.002182 test-mlogloss:1.213301+0.005067[8] train-mlogloss:1.101707+0.002325 test-mlogloss:1.157714+0.005585[9] train-mlogloss:1.047551+0.002220 test-mlogloss:1.107978+0.005771 I suppose the purpose of the cross validation is to return the optimal number of iterations for a given choice of the parameters. In order to achieve this, should I look at the minimum in the test-mlogloss or in the train-mlogloss column? Sorry for the basic question, but I want to make sure I am getting the basics right. Cheers larry77",5,None,10,Wed Mar 25 2015 12:33:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13053,/competitions/otto-group-product-classification-challenge,532nd
/maximus6,Better estimate than R^2,"Hello guys, regression models are usually measured by their goodness of fit, which is R^2. However, is there a better estimate than R^2 and why would it not fit really good? I appreciate your replies!",0,None,1,Wed Mar 25 2015 15:39:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13055,None,None
/myakoub,Neural Networks and probabilities,"Hi I'd like to know from whoever used neural networks for this competition, how did you let the neural network predict probabilities of classes and not a strict membership since the input file encodes the output as (1-0) for each class, or did you encode the output as numerical and dealt with it as a regression problem? In the first case which framework or library allows you to do so (predict probabilities)?",0,None,4,Wed Mar 25 2015 15:49:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13056,/competitions/otto-group-product-classification-challenge,480th
/maximus6,Which model to choose for forecast of real estate housing prices?,"Hello guys, I am doing research on models to use in real estate house price prediction. I plan to create a model for the DACH region. So one forecast per country. From my literature research, I can see that Combination Forecating methods, ARMIAX and also Neural Networks are highly used. However, I cannot decide where to start and with what technique? Any suggestions, how you would approach such a problem? What are you usually doing during model building? I would be really thankful for further resources!(links, tutorials etc.) BR! Gregor",0,None,2,Wed Mar 25 2015 16:38:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13058,None,None
/triskelion,Duplicates in train with different revenue,"There are duplicate samples in the train set with a different revenue, like Id 16 and Id 85. 16, 01/07/2000, İstanbul, Big Cities, FC, 3, 5.0, 4.0, 4.0, 2, 5, 5, 4, 5, 4, 3, 5, 4.0, 0, 0, 0, 0, 0, 1, 4, 1, 1, 1, 0, 0, 0.0, 0.0, 2.0, 2.0, 0, 0, 0, 0, 0, 0, 0, 0, 19696939.0 85, 01/07/2000, İstanbul, Big Cities, FC, 3, 5.0, 4.0, 4.0, 2, 5, 5, 4, 5, 4, 3, 5, 4.0, 0, 0, 0, 0, 0, 1, 4, 1, 1, 1, 0, 0, 0.0, 0.0, 2.0, 3.0, 0, 0, 0, 0, 0, 0, 0, 0, 7495092.0 The huge difference in the amount shows a tremendous challenge to overcome. Edit: near-duplicates",5,bronze,2,Wed Mar 25 2015 18:52:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13062,/competitions/restaurant-revenue-prediction,286th
/wacaxx,Sports MOOCs,"Hello Kaggle, I found two MOOCs about sports for those of you who are sports and statitstics/ML inclined; even if you are not, Sabermetrics 101 has a very nice introduction to SQL and R. [Link]:https://www.edx.org/course/math-sports-notredamex-mat150x [Link]:https://www.edx.org/course/sabermetrics-101-introduction-baseball-bux-sabr101x-0 If you know of other useful resources related to sports (MOOCs, websites, blogs, datasets), feel free to post them in this thread. See you in class!",4,bronze,1,Wed Mar 25 2015 21:00:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13063,/competitions/march-machine-learning-mania-2015,24th
/robrob,caret Alternate Performance Measures,"Hi All, Attempting to incorporate logLoss as the performance measure used when tuning randomForest (other classifiers) by way of caret. (Instead of the default options of Accuracy or Kappa.) The first R script executes without error using defaults. However, I get ""Error in { : task 1 failed - ""unused argument (model = method)"""" when using the second script. Unfortunately, I'm not correctly grasping the guidance provided by [Link]:http://topepo.github.io/caret/training.html nor having much luck via google search. Your help are greatly appreciated. Working R script: fitControl = trainControl(method = ""repeatedcv"",number = 10,repeats = 10) rfGrid = expand.grid(mtry=c(1,9))rfFit = train(target ~ ., data = trainBal[,-1], method = ""rf"", trControl = fitControl, verbose = FALSE, tuneGrid = rfGrid) Not working R script: logLoss = function(data,lev=NULL,method=NULL) { lLoss = 0 epp = 10^-15 for (i in 1:nrow(data)) { index = as.numeric(lev[i]) p = max(min(data[i,index],1-epp),epp) lLoss = lLoss - log(p) } lLoss = lLoss/nrow(data) names(lLoss) = c(""logLoss"") lLoss} fitControl = trainControl( method = ""repeatedcv"", number = 10 repeats = 10, summaryFunction = logLoss) rfGrid = expand.grid(mtry=c(1,9))rfFit = train(target ~ ., data = trainBal[,-1], method = ""rf"", trControl = fitControl, verbose = FALSE, tuneGrid = rfGrid)",3,bronze,14,Wed Mar 25 2015 21:28:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13064,/competitions/otto-group-product-classification-challenge,978th
/sugh93,data description,"Can the data description be given. I mean what the attributes mean, actually the meaning of some of the attributes are really very obscure. So it would be very helpful if the description of the attributes could be given.",0,None,1,Wed Mar 25 2015 22:04:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13065,/competitions/bmgt431-final-project,None
/goodspellr,Sharing of modeling approaches?,"What approaches did people use in the modeling this year? Anyone willing to share their basic (or detailed) method? Here is a rough sketch of what I did: 1. Calculated RPI as Jeff Sonas calculated it in one of the initial forum discussions. I think his definition was slightly different from what was on Wikipedia. On Wikipedia, the opponents' winning percentage and opponents' opponents' winning percentages are not calculated using different weights for home/away wins. 2. Adjust detailed season data to account for home/away bias. I did this by dividing each stat by the average for home or away (whichever is appropriate) and then multiplying by the average for neutral court (since tourney games are on a ""neutral"" court, I used the tourney data to figure out these averages). I called this step ""neutralization"" of the data. 3. For a given matchup, use the neutralized data and the RPIs to estimate each team's probability of scoring 0,1,2,3 points on a possession and the number of possessions the teams will have in the game (number of possessions is assumed the same for both teams). This is the step where I had to introduce my fit parameter to adjust how to weight individual game data. 4. Use the distribution for points per possession and the number of possessions to generate a point distribution for both teams for the entire game. 5. Calculate the probability that team 1 outscores team 2. That's my reported prediction. In the end, it's not much of a ""machine learning"" approach. I have one fit parameter and I was even able to guess roughly the best value for that based on intuition (it was roughly the standard deviation of the RPI across all teams). In terms of results, I was better than the seed-based benchmark in stage 1, but nowhere near the top of the leaderboard. Right now I'm in 133rd place and have no chance at winning money (according to the other threads).",1,bronze,5,Wed Mar 25 2015 22:28:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13066,/competitions/march-machine-learning-mania-2015,102nd
/raslin,Selecting the correct method / model,"Hello Kagglers :) i'm a beginner in this ML field, and i'm using Scikit-learni'm just wondering, in this challenge there is a big difference betweenLinearRegression, SVM and RandomForest. For some reason RandomForest is way better than the others (best score)can anyone explain why?I'm trying to find the better model to continue with before go deep into the features.Thanks for your help!",0,None,9,Wed Mar 25 2015 23:14:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13067,/competitions/restaurant-revenue-prediction,1930th
/joseleiva,Sample Submission Benchmark,"The sample submission benchmark consists on predicting constant values, equal to the average value of Y. So, if evaluated on the training set, its score should be equal to the standard deviation, given the evaluation criterion used in this competition. The standard deviation of the training data is 2.5761e+06. However, the score on the test set is far different: 1.93e+06. I understand that this can be due to the small sample set, but don't you think the difference is too large?",0,None,3,Wed Mar 25 2015 23:26:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13068,/competitions/restaurant-revenue-prediction,1789th
/mlandry,Simple Benchmark Improvements,"Hi everybody, At an H2O Meetup tonight, we are going to go over this problem in very simple terms, so we wanted to make that code publicly available to everybody to remain compliant and also help those getting started. This code is not ground breaking, at 0.00973457 (70th place currently). But I think one barrier to entry in this competition is the difficulty of the data and the scoring metrics. The simplicity of this initial approach is an attempt to help people get their bearings around this problem. I will try to follow up with one that takes a more direct approach against RR1 using basic histograms to further dig into using the data.Edit: forgot the option to force R to not write out the ID values in scientific notation ####################################################### Starter Script for Kaggle Will it Rain competition######################################################### Performance: 0.00973457## Relative performance: 70th out of 188; improves upon ## provided benchmark (0.01177621), and using all 1's (0.01017651)#######################################################record the starting timestart<-Sys.time()## read in a fixed number of rows (increase/decrease based on memory footprint)## you can use read.csv in place of data.table; it's just much slowerlibrary(data.table) train<-fread(""train_2013.csv"",select=""Expected"")gc()## collect the probability it will rain 0mm, 1mm, 2mm...9mmfor(i in 1:10){ if(i==1){avgRainRate<-train[,mean(ifelse(Expected<=(i-1),1,0))]} if(i>1){avgRainRate<-c(avgRainRate,train[,mean(ifelse(Expected<=(i-1),1,0))])}}## fill in 10mm+ with 100% (it will be lower than 10mm 100% of the time)avgRainRate<-c(avgRainRate,rep(1,60))## now construct a prediction by using the matrix as a lookup table to the first 10 prediction levelstest<-fread(""test_2014.csv"",select=""Id"")gc()predictions<-as.data.frame(cbind(test$Id,as.data.frame(t(avgRainRate))))colnames(predictions)<-c(""Id"",paste0(""Predicted"",(seq(1:70)-1)))## output predictions; outputs as 188MB, but compresses to <3MB (lot of 1's)options(""scipen""=100, ""digits""=8)write.table(predictions,""histogram_benchmark.csv"",quote = FALSE, sep = "","",row.names=FALSE) ##how long did it takestop<-Sys.time()stop-start##all done. compress and submit",19,gold,11,Thu Mar 26 2015 01:31:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13069,/competitions/how-much-did-it-rain,5th
/arnocandel,Beat the benchmark with H2O,,3,bronze,44,Thu Mar 26 2015 02:29:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13070,/competitions/otto-group-product-classification-challenge,302nd
/titericz,Evaluation Metric,Just to Clarify the evaluation metric. Is it correct in building H [0-69] mm matrix ? 1)- For recorded gauge value 0mm H is a row with 70 ones? 2)- For recorded gauge value 70mm and higher H is a row with 70 zeros? 3)- For recorded gauge value 29.5mm H is a row with the first 30 zeros and then 40 ones? Thanks,0,None,5,Thu Mar 26 2015 04:16:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13072,/competitions/how-much-did-it-rain,15th
/shawn775,beat the benchmark with 1826200 score,"Several people have already pointed out calculating the age of each sample from the OpenDate variable. This method uses only that info in a simple linear regression. A cross validation of the training data gets a RMSE of ~2600000, and gets the score above on the LB. I've tried including a few other variables in the regression, and while they seem to improve the CV score they don't improve the LB score. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/68378/2252/ageLM.py",4,bronze,9,Thu Mar 26 2015 06:04:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13073,/competitions/restaurant-revenue-prediction,1108th
/sjl070707,"sample submission format, conversion to 0/1","Hi, this is rather a stupid question, (please bare with me, I'm new) By looking at the sample submission, the way I understood was that if id = x was classified as Class_1, then I would create a matrix with 9 classes and plug the value of 1 to class_1. I have run several Deep learning model on h2o and after I get the result, I would convert the resulting submission set to a format above using a [Link]:https://bitbucket.org/snippets/sjl070707/rLRL however I it would increase the error rate compared to the original estimation made by h2o could someone point me to any explanation in why post processed sample data would cause different result?",0,None,2,Thu Mar 26 2015 09:04:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13074,/competitions/otto-group-product-classification-challenge,None
/brundage,Restaurant types?,"I understand what Food Court and Drive Through are, but what is the meaning of ""Mobile"" (like a food truck?) and ""Inline""? I notice the MB type exists only in test, not train.",0,None,8,Thu Mar 26 2015 09:13:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13075,/competitions/restaurant-revenue-prediction,763rd
/wildwizard,Python tutorial errata?,"Hello I am beginner in Python and ML, so I may be wrong, but I would like to check this point about the python tutorial for Titanic survival predictions; This code snippet says: _______________________________________________ prediction_file_object.writerow([""PassengerId"", ""Survived""])for row in test_file_object: # For each row in test.csv if row[3] == 'female': # is it a female, if yes then prediction_file_object.writerow([row[0],'1']) # predict 1 else: # or else if male, prediction_file_object.writerow([row[0],'0']) # predict 0test_file.close()prediction_file.close() ____________________________________________________ If row[3] seems to be erroneous. We saw above that column[3] was names. row[4] is gender. So I guess we should read if row[4] == 'female' Am I right?",0,None,4,Thu Mar 26 2015 09:56:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13076,/competitions/titanic,None
/thefreakonomist,Submission Problem: Format,"Hi, I'm trying to upload my .csv-File, but everytime I'm trying it the following error occurs: ERROR: Expected 'Id' column to be of type 'Int32', but was 'String' ERROR: Unable to convert 'Id' column row 100000 value '1e+05' to expected type 'Int32'. Any suggestions on how to fix this? Kind regards",0,None,2,Thu Mar 26 2015 11:25:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13077,/competitions/restaurant-revenue-prediction,101st
/asimkievich,why do you shuffle the training set?,"hi folks, probably a stupid question, but why do you shuffle the training set? My cross-validation results (multiclass log loss) are so much better if I do. Is it because the training is sorted in a suboptimal way? Thanks. AS",0,None,5,Thu Mar 26 2015 11:45:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13078,/competitions/otto-group-product-classification-challenge,87th
/jesusmontesinos,PCA,"As far i can see there is a subset of restaurants with very specific characteristicas that can be found by PCA. But i think there is some missing factor that governs this data as the improvement people are making are just too small to find a really close solution. Maybe some clustering ruled PCR will find a solutions, ¿Has anyone tried it?",0,None,1,Thu Mar 26 2015 13:46:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13079,/competitions/restaurant-revenue-prediction,252nd
/florianm,Loading images for nolearn/lasagne?,"This is probably a very basic thing and I should be able to figure it out but I feel like I'm missing something. Following the convnet tutorial on deeplearning.net I see the following steps using PIL for an rgb jpeg of size 256x256: images = np.empty(num_images, dtype = 'object') i = 0 for files in directory: img = Image.open('file') img = np.asarray(img, dtype = 'float64') / 255. img = img.transpose(2,0,1).reshape(3, 256, 256) images[i] = img i += 1 Would that then put the image into the correct format for nolearn/lasagne if I specify the input like this? input_shape=(None, 3, 256, 256), I'm sorry if this is a very basic question but any help would be greatly appreciated.",1,bronze,1,Thu Mar 26 2015 15:08:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13082,/competitions/datasciencebowl,None
/herbjorn,Cloud based tools,"Hi! What cloud based tools are available that would be useful for Kaggle competitions, and what are the pros/cons of these tools? Thx",0,None,4,Thu Mar 26 2015 15:15:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13083,None,None
/kunapalli,m2 of the location,"The competition page says, ""Real estate data mainly relate to the m2 of the location, front facade of the location, car park availability. "" Does anyone know what m2 means? Thanks",0,None,2,Thu Mar 26 2015 18:06:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13085,/competitions/restaurant-revenue-prediction,1050th
/jackstat,Days Opened?,The number of days opened is a pretty good predictor but it isn't in the test set. Anyone have a clever idea of how to handle this? It seems that you would want the predictions for the new openings to be set around 540 days (the 18 month mark) but there is no way of knowing the days opened for the actual businesses in the test set. Maybe their revenue should only be calculated up to 18 months? Not sure about this one...,0,None,21,Thu Mar 26 2015 20:22:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13087,/competitions/restaurant-revenue-prediction,357th
/Wishalsp3333,Reflectivity to Rainfall estimates,"It is said that reflectivity is used to calculate the rainfall estimates, is there any formula or the relation that relates them??",1,bronze,2,Fri Mar 27 2015 02:27:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13089,/competitions/how-much-did-it-rain,None
/staesthetics,Does it make sense to only have training set 0.1 % of test set?,"As you might aware, the train set is 100 rows while test set is 100K rows. Do you think that this is make sense? If I a company and I want to get best model of my business from outsource (aka. Kaggle), I would give at least 50 - 50 data, means that 50% for train and vice versa. Doing this, I will be sure that the model will be accurate. The problem I saw is also that on the train set, the variables are highly correlated while the test set are not low correlated. It makes confusion which variable to use in the modelling. Any opinion?",0,None,5,Fri Mar 27 2015 03:24:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13090,/competitions/restaurant-revenue-prediction,31st
/staesthetics,Dealing with Highly Imbalance Data,Hi Folks Trying to make a better model but no improvement so far. What I see in the dataset is that the train data is very imbalance. Here is what I see in R Class_1 1929Class_2 16122Class_3 8004Class_4 2691Class_5 2739Class_6 14135Class_7 2839Class_8 8464Class_9 4955 I try to downSample -- random -- but the model is not improve. I haven't tried to upSample by the way. I know some of you know about how do better sampling. Want to share?,1,bronze,10,Fri Mar 27 2015 03:34:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13091,/competitions/otto-group-product-classification-challenge,693rd
/wwwbigcupcommittee,Call for Solutions - Opportunity to Publish ,"Dear contestants, We would like to add to the call for solutions published a few days ago [Link]:http://www.kaggle.com/c/malware-classification/forums/t/12961/call-for-solutions-big-www2015. In addition to presenting at the conference, participants will have an opportunity to publish their work following the event, either jointly with the organizers in an overview-style paper and/or as part of a special issue of an appropriate journal (as usual, subject to the quality of the contribution). Therefore, your submitted solution manuscript need not be brought to the level of a publication. You will have the opportunity to do that at ease post-conference. We look forward to receiving solution descriptions and hosting you at the conference, as well as publishing together!",0,None,2,Fri Mar 27 2015 12:49:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13094,/competitions/malware-classification,None
/aminalaee,Part 1: Vectorizer,"When I want to do the Creating a Submission part, I get an error that vectorizer in the following line is not declared. test_data_features = vectorizer.transform(clean_test_reviews) what should I do? This is my time try in data science and seems like I don't have a good grasp on the last part about vectors and sklearn. and when I declare vectorizer like below, I get an error that vocabulary wasn't fitted. vectorizer = CountVectorizer(analyzer = 'word', \ tokenizer = None, \ preprocessor = None, \ stop_words = None, \ max_features = 5000)",0,None,1,Fri Mar 27 2015 13:23:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13095,/competitions/word2vec-nlp-tutorial,None
/chaddibanyan,Excel ?,How can I use Excel for developing a model/formula that I can apply to the test dataset?,0,None,2,Fri Mar 27 2015 15:32:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13096,/competitions/restaurant-revenue-prediction,None
/alexcoventry,Status of Michal Sofka's software in this competition?,"I'd like to get a quick clarification from a competition admin about using Michal Sofka's vessel centerline detection software in this competition. My main efforts so far have been towards vasculature segmentation, so if I can use his software in the competition instead that would be a significant step forward for me.",1,bronze,4,Fri Mar 27 2015 21:17:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13098,/competitions/diabetic-retinopathy-detection,None
/ipotap,How to correct cross-validate?,"Hi there, I'm trying to cv my model using this code: ss = cross_validation.LeaveOneOut(137)for trainCV, testCV in ss: X_train, X_test, y_train, y_test= X[trainCV], X[testCV], y[trainCV], y[testCV] clf.fit(X_train, np.log(y_train)) y_pred=np.exp(clf.predict(X_test))scores.append(mean_squared_error(y_test,y_pred)) #Average RMSE from cross validationscores=np.array(scores)print ""CV Score:"",np.mean(scores**0.5) It print out ~1470000, while on the leaderboard it is ~2000000. How to correctly cross validate, given the small dataset?",1,bronze,35,Fri Mar 27 2015 21:49:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13099,/competitions/restaurant-revenue-prediction,297th
/jeffsonas,Changes to contest next year?,"This year's contest was essentially the same as last year's contest, with a few minor differences: (1) Greater variety of data was available this year (i.e. team box scores from each game) (2) Everyone's selected predictions were shared publicly before the tournament (final 64 teams) started (3) Rules made it clearer that predictions could come from anywhere, not just machine-learning techniques (4) I think Stage 1 was a little shorter in duration (i.e. started later) (5) We had a lot more forum participation, I think (6) Prize fund split into $10K for 1st place and $5K for 2nd place, rather than winner-take-all (7) More gadgets - the ""what-if"" Excel spreadsheet, the classification trees, the ""steal my entry"" approach I like all those changes, but to be honest I am not sure I would make any further changes, if we were to do the contest again next year. I haven't heard anything too convincing to suggest that we need more data. I will probably put more effort into some team-level summary information historically, like the location of the school, as well as the identity of the head coach and the conference each season, and the location of neutral games from both regular season and tourney, but really it's not much more. What do people think? Don't mess with a good thing? Change something around next year? I am not a huge fan of the Stage 1 leaderboard, because it can be easily misused, but I don't really have a better idea. We could do a Stage 1b contest covering the end of the regular season, but then people wouldn't have the tourney seeds, the single-elimination structure, or the availabilty of odds for half the games. So it wouldn't necessarily apply perfectly to the stage 2 contest that we really care about. We could add in the NIT but then you would lose some of the simplicity of the contest's tournament structure. Or we could add in the women's tournament, but I'm not sure about the availability of historical data and that would mean more legwork for me to assemble box scores again. So I am leaning toward ""don't mess with a good thing"". Any bright ideas out there?",2,None,84,Fri Mar 27 2015 21:56:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13100,/competitions/march-machine-learning-mania-2015,142nd
/asimkievich,compute mlogloss in Python?,"hi there, here is a function to compute multi class log loss in Python. Could anyone comment if the function does what it is supposed to do? Thanks! def MLogLoss (actual, predicted, eps=1e-15): predicted[predicted < eps] = eps predicted[predicted > 1 - eps] = 1 - eps return (-1/actual.shape[0]*(sum(actual*np.log(predicted)))).mean()",0,None,4,Sat Mar 28 2015 02:34:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13101,/competitions/otto-group-product-classification-challenge,87th
/asimkievich,wow,somebody (johnsonav actually) just smashed the leaderboard. respect.,1,bronze,69,Sat Mar 28 2015 02:40:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13102,/competitions/otto-group-product-classification-challenge,87th
/grigorydymov,"Как генерился тест, валидация и др. вопросы","Пара вопросов, которые возникли. 1. Почему валидация не совпадает с лидербордом? Скорее всего, потому что у кэггла забыт корень в формуле. Соответственно, ошибку можно считать по формуле в панде: rmsle = df.apply(lambda x: (log(1 + x['Cost']) - log(1 + x['Cost_hat_1']))**2, axis=1).mean() При этом валидация выложенного бенчмарка хорошо совпадает с лидербодом. 2. Как генерировался тест, почему его распределение не совпадает с тренировочной выборкой? В описании кое-что сказано об этом. Смысл в том, что в тренировочной выборке - только строки, где были показы (Impressions). В тестовой - все возможные, где могут произойти показы, иначе бы произошла утечка информации. Поэтому для каждого слова (комбинации 'AdGroupId', 'KeywordId') включены все возможные места, где оно может быть показано (комбинации 'Date', 'Slot', 'Device', 'AdNetworkType2').",3,bronze,1,Sat Mar 28 2015 10:14:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13103,/competitions/a2,None
/umeshrao,R question,"I have a specific question related to the test dataset, which is different from train dataset. This is causing problem. I am not sure this is the right forum to ask ""R"" question. Can some one call me on +1 408 757 0093 or send me an email so that I can discuss my problem. I am bit stuck with PREDICT function throwing some errors. I know/understand the problem but do not know how to resolve. It is very specific to R. Thanks and sorry, if I have wasted your time.",0,None,4,Sat Mar 28 2015 10:48:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13105,/competitions/restaurant-revenue-prediction,1666th
/wcukierski,Elite 8 Predictions,Here are the prediction histograms from all Kaggle participants for the round of 8. [Link]:https://storage.googleapis.com/kaggle-media/old-azure-general-images/kaggle_round_of_8.png,6,bronze,1,Sat Mar 28 2015 14:38:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13107,/competitions/march-machine-learning-mania-2015,None
/florianm,Weird CNN behavior?,I've attached a picture of my train vs validation loss for a CNN. Basically the train and validation loss stay pretty much the same for 40 epochs or so and then validation loss starts increasing and training loss sharply declines. Does anyone have any ideas why this would happen? I figure that I might be loading the images incorrectly or could it be a parameter thing? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/68694/2266/wtf.png,0,None,9,Sat Mar 28 2015 15:16:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13109,/competitions/diabetic-retinopathy-detection,80th
/leedtan,What do leaderboard scores mean?,"I'm new here, and don't understand leaderboard score calculations. Does .7, for instance, mean 99.3% accuracy on the test set? That's my guess but I cant find any explanation, I would love to know how I was doing relative to the rest of you in my offline sandbox. Thanks, any explanation much appreciated!",1,bronze,3,Sat Mar 28 2015 17:51:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13110,/competitions/otto-group-product-classification-challenge,None
/domcastro,Come on Notre Dame,I have a better chance of a Top 20 finish!,1,bronze,8,Sun Mar 29 2015 01:32:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13112,/competitions/march-machine-learning-mania-2015,8th
/hsperr,Categorical Variables,"Hey, this is my first regression task and I figured I am not sure how to deal with the categorical variables like City and City Group and Type. My initial move was to use sklearn LabelEncoder on those, but then while normalizing the P features I realized it wouldn't make sense to normalize the categorical variables too. Cities range from 0 to 37 or something and I wondered whether having values bigger than 1 will give logistic regression some problems? My next idea was to either use LabelBinarizer or pandas.get_dummies, to create an additional 0 or 1 column for each city. How do you usually encode categorical features into your feature matrix? My next question is how to treat missing values, so test set has one additional type and a few additional cities I think. Do you just fit the LabelBinarizer on both train and test set together? which would mean I have to retrain my regression every time the testset changes too, or is there supposed to be some 'unknown flag' for the missing ones? Thanks for your help,",0,None,5,Sun Mar 29 2015 03:48:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13113,/competitions/restaurant-revenue-prediction,925th
/asimkievich,question to random forest camp,"hi there, to those of you who have achieved good results (0.45 or better) with pure rf models, is the number of trees the single parameter that provides the biggest boost on the score? I see that my model improves as I increase the number of trees, but I could not get to 0.45. If I did, I could build a good ensemble with what I currently have. Going past a certain number of trees (let's say well beyond 10,000), my 16MB RAM laptop runs out of memory - so I wonder if it makes sense to rent a super machine on the cloud to increase the number of trees to an obscene figure. Would appreciate feedback. Thanks, A",0,None,1,Sun Mar 29 2015 06:44:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13114,/competitions/otto-group-product-classification-challenge,87th
/bitsofbits,Paper on Using ANN for Ordinal Problems,"As has already been pointed out, this is an ordinal problem, rather than a classification problem. I found the following paper, which describes a fairly simple way to set up ordinal problems on a neural net, helpful in setting up the inputs and outputs to my net. Enjoy: https://web.missouri.edu/~zwyw6/files/rank.pdf",17,silver,12,Sun Mar 29 2015 09:45:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13115,/competitions/diabetic-retinopathy-detection,14th
/mostranger,What's the rule of ranking?,Is the ranking depending on both of the submissions times & the accuracy? And how does it calculate exactly?,0,None,1,Sun Mar 29 2015 09:58:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13116,/competitions/linear-regression-sysu-2015,96th
/aseem1,Duplicate data in train.csv,ID 16 and ID38 have same data except the open dates. Should the latest date data be considered ? thanks,1,None,6,Sun Mar 29 2015 10:14:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13117,/competitions/restaurant-revenue-prediction,2156th
/piotrw,Visualization,"for fun, t-sne projection for train data ~ 10 mins on my i7 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/68866/2274/tsne2_01.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/68866/2275/tsne.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/68866/2276/tsne_correct.R",71,gold,12,Sun Mar 29 2015 21:21:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13122,/competitions/otto-group-product-classification-challenge,190th
/halvard,Multiclass classification vs Binary classification,"Hi, I'm new to machine learning and for classification problems in particular. I wonder about two different approaches to this competition and ask for some explanations about pros and cons of both :) 1. Build model to classify in one of 9 classes. (input -> this input from 5-th class) 2. Build 9 models to determine does input belongs to given class. Second approach seems to me more promising, but I have difficulties with aggregation of result (for example, what to do it more then one model (or no model) tell that input from her class)",0,None,3,Sun Mar 29 2015 22:25:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13123,/competitions/otto-group-product-classification-challenge,838th
/iyer16,PYTHON - Error while using numpy genfromtxt to import csv data with multiple data types,"I'm trying to use python this time. I'm a beginner user of Python, I would normally use Rapidminer. I am using Python 3.4 on the Spyder 2.3 dev environment. I am using the below code to import the training csv file. from sklearn import linear_modelfrom numpy import genfromtxt, savetxt def main(): #create the training & test sets, skipping the header row with [1:] dataset = genfromtxt(open('data/train.csv','rb'), delimiter="","", dtype= None)[1:] train = [x[1:41] for x in dataset] test = genfromtxt(open('data/test.csv','rb'), delimiter="","")[1:]This is the error I get: dataset = genfromtxt(open('data/train.csv','rb'), delimiter="","", dtype= None)[1:] IndexError: too many indices for arrayThen I checked for various imported data types using print (dataset.dtype) I noticed that the datatypes had been individually assigned for every value in the csv file. Moreover, the code wouldn't work with [1:] in the end. It gave me the same error of too many indices. And if I removed [1:] and defined the input with the skip_header=1 option, I got the below error: output = np.array(data, dtype=ddtype) TypeError: Empty data-typeIt seems to me like the entire data set is being read as a single row with over 5000 columns. The data set consists of 43 columns and 138 rows. I'm stuck at this point, I would appreciate any help with how I can proceed.",1,None,1,Sun Mar 29 2015 22:36:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13124,/competitions/restaurant-revenue-prediction,2061st
/domcastro,What's been your favourite match?,Mine was the Notre Dame vs Kentucky one. I liked the way Notre Dame played - seem to be different from the others. Kentucky winning in the last few seconds was just thrilling,2,bronze,3,Mon Mar 30 2015 01:11:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13125,/competitions/march-machine-learning-mania-2015,8th
/leedtan,Categorical or continuous variables?,"Do we know which of the variables represent categorical features and which continuous? I don't see that information, but I expect it to exist because the company posting this would want our models to be able to account better for the type of data they have. Any information appreciated, thanks!",0,bronze,8,Mon Mar 30 2015 01:32:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13126,/competitions/restaurant-revenue-prediction,None
/asimkievich,so what happened exactly?,I see myself moving back to the 450th position (from the 90th) while many of my submissions are pending. anyone has an explanation?,0,None,4,Mon Mar 30 2015 01:50:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13128,/competitions/otto-group-product-classification-challenge,87th
/jiweiliu,negative prob? LB rescore?,"I just realized one of our previous submission has negative probabilities, like what happened in otto. However, new submissions with negative prob are not allowed. So are our submissions going to be re-scored? like otto?",2,bronze,4,Mon Mar 30 2015 01:58:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13129,/competitions/malware-classification,1st
/asimkievich,something to think about,"would be interested in thoughts. For the records where one of the classes has probability bigger than 0.90, I replaced that probability with 1 and set all other probs to zero. I thought I had to be more times right than wrong, and so improve the log loss. But it went from 0.434 to 0.8 - which I do not quite get. Same thing happened in the AXA competition. Anyone ventures a hypothesis? How can class estimations that are",0,None,7,Mon Mar 30 2015 02:20:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13130,/competitions/otto-group-product-classification-challenge,87th
/menapacej,rank never changed?,I submitted 3 unique solutions today - and my ranking never changed. Is that possible?,0,None,10,Mon Mar 30 2015 04:15:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13131,/competitions/restaurant-revenue-prediction,1200th
/johnsonav,So here's what happened...,"Well, what happened on my end, anyways. Sometimes, when you let your algorithm look for good solutions, it'll find them where you weren't expecting. It might exploit anything, even janky input validation. For example, if the first line in your submission looks like this: 1,49.64004161769637,22.466225755607603,14.472938529274277,23.50954505764969,-171.7164243016614,10.888770977383444,12.87346728847767,29.16565049764445,21.023181285522803 you might figure the rescaling (mentioned on the Evaluation page) Kaggle does would make that mess look like probabilities. But if you check, after dividing each element by the row sum, you get: 1,4.0281135790348435,1.8230546568188992,1.174427706312059,1.9077163233056307,-13.934179705164604,0.883585202663539,1.0446362795854607,2.36668924888782,1.7059567085563514 And then you clamp those values to between 1 and 0 (or 1-10^-15 and 10^-15) and get: 1,1,1,1,1,1,0,0.883585202663539,1,1,1 That's what the Kaggle scorer was getting from me after doing its rescaling and clamping, and that doesn't look *anything* like what real probabilities should. The submission containing that line (all the lines look something like that) ended up scoring ~0.11. But when I do the rescaling and clamping on my end before sending it off (so I'm not sending any negative numbers), it scores ~2.06. What did I learn? That I shouldn't be so quick to jump to conclusions (in this case, that I was finding leakage somehow). And that I should make sure I'm aware of all the assumptions I'm making (Kaggle wouldn't have a messed up scorer, right?). Well, it was a fun ride while it lasted. I wish I could take credit for cleverly exploiting the scorer. But my algorithm was the clever one in this case. And I'm only just a little bitter that I'm not still looking down from the unapproachable heights atop the leaderboard.",33,gold,7,Mon Mar 30 2015 05:18:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13132,/competitions/otto-group-product-classification-challenge,29th
/jeffsonas,High-quality pointspread/odds data?,"Hi, I was wondering if anyone would be willing to share the historical data they gathered, for both regular season and tournament, pointspread (e.g. team X was favored by 4.5 points) or odds (e.g. you had to bet 1.25 on team X in order to win 1.00). As far back in time as you have data for. I am currently trying to assemble the bulk of the data for next year's contest (assuming we do it again), and the pointspread dataset that I shared at the start of this year's contest is one that I wish were cleaner. There were lots of differences between the source data and my game data, and so I excluded those games that were significantly different in score/date, and so it's only something like 90% of the games. Also I don't have anything historical about the published odds for each game, which of course is the value that maps most directly to a prediction of expected winning percentage. Of course I will understand, if anyone had to pay money to obtain their high-quality historical data and thus doesn't want to share it, but I figured I would at least ask, as this is an area that does seem slightly deficient in our dataset. Thanks in advance, for whatever anyone is willing to share!",1,None,6,Mon Mar 30 2015 07:15:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13133,/competitions/march-machine-learning-mania-2015,142nd
/bastiaan,stacking models (baselearners-->metalearn),Has anyone got a leaderboard score over .8 with model stacking? I would love to share ideas and approaches on this subject. I've used 3 well performing models (all over .8) and classified them with a metal earner which got me .94 on cross-validation accuracy. But on the leaderboard they perform exactly the same as the random forest benchmark.,3,None,1,Mon Mar 30 2015 07:46:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13134,/competitions/titanic,None
/grigorydymov,Железо для расчетов,"Дорогие участники, появилась возможность использовать наше железо для расчетов, 12 корная машина с 64ГБ ОЗУ. Если хотите воспользоваться, присылайте свой ssh public key на gd.kaggle@solutions.se и я сделаю вам аккаунт.",3,bronze,4,Mon Mar 30 2015 13:57:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13137,/competitions/a2,None
/ramgprajapat,Anyone using R  or R Studio,"Hello Everyone, was wondering if anyone is using R or R Studio and could help into linking images to response levels",0,None,2,Mon Mar 30 2015 14:06:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13138,/competitions/diabetic-retinopathy-detection,None
/abhishek,1000 Votes,Yayyyy!!! :D :P,5,None,7,Mon Mar 30 2015 14:22:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13139,None,None
/goldman88,Find the best recommendation of a moive to the user,Data available:- User to movie rating- Meta-data for movies:-- Entire Casting-- Genre-- Movie Script-- Length-- Category-- Other available features what will be the approach?,0,None,4,Mon Mar 30 2015 14:29:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13140,None,None
/aargunov,Final Evaluation (getting final results),"I am not sure, how final results will be evaluated. Yes, it's clear to me, that final results will be calculated on the 70% of test data, not the current LB results. But, I'm curious, if all of the entries will be used for calculating a final result(and then picked best result)? Or only the best one for 30%? Because it makes a REAL difference, on using as much entries as you can.",0,None,3,Mon Mar 30 2015 15:30:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13141,/competitions/restaurant-revenue-prediction,1579th
/rafi88,Hardware ,"I currently have the opportunity to buy a Dell Precision T5500 machine from someone for a decent price. I have been meaning to buy another machine to run some of my R work, instead of doing everything on my Macbook. This machine will have the following specifications: 2 x 2.66 ​GHz H​ex-Co​re Xe​on (X​5650)​ - totalling 12 cores 36GB ​- (9 ​x 4GB​) - D​DR3 E​CC Re​g - 1​333Mh​z 120GB SSD (mainly as an OS drive, will install a 2TB HDD afterwards) Palit Nvidia GeForce GTX 750 Ti Total cost: £650 For the people out there who have built their own machines for Kaggle competitions - what do you think about the above build? In the future I would like to experiment with Neural Networks, therefore a Geforce graphics card I guess works in favour of that. This PC will not be just for Kaggle, when I do install 2TB HDD in it, I guess I will be using it as a Plex Server for all my media consumption. Anyway - any feedback would be much appreciated, and advice on alternative builds will be welcomed. Rafi",1,bronze,5,Mon Mar 30 2015 16:45:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13142,None,None
/sumect,"have ""MemoryError"" when ""train_data_features.toarray()""","Hi all, I run the code on my PC(windows7 x64, 12G RAM),but I met the MemoryError when run ""train_data_features.toarray()"" version of scipy on my PC is 0.14.0 the message as following: Traceback (most recent call last): File ""D:/kaggleData/BagOfWords/BagOfWords.py"", line 66, in <module> train_data_features = train_data_features.toarray() File ""C:\Python27\lib\site-packages\scipy\sparse\compressed.py"", line 901, in toarray return self.tocoo(copy=False).toarray(order=order, out=out) File ""C:\Python27\lib\site-packages\scipy\sparse\coo.py"", line 269, in toarray B = self._process_toarray_args(order, out) File ""C:\Python27\lib\site-packages\scipy\sparse\base.py"", line 789, in _process_toarray_args return np.zeros(self.shape, dtype=self.dtype, order=order)MemoryError what should I do to solve this problem? Thanks!",1,None,10,Mon Mar 30 2015 17:54:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13144,/competitions/word2vec-nlp-tutorial,None
/staesthetics,Amazon AWS Recommendations,Hi Folks I am thinking to rent AWS EC2 to support my hobby participating in kaggle competition. I registered to AWS and saw that there is one year free trial in AWS. Does anybody know detail product of free trial from AWS? Is it enough to support regular kaggle competition where the data is in order of Gig? Thanks,1,None,5,Mon Mar 30 2015 18:52:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13145,None,None
/neuralnetworks,Mean Squared Error vs. Root Mean Squared Error,"Hi, I was just getting started here and correct me if I am wrong but it looks like there is a discrepancy in the evaluation metric. In the evaluation section it shows the error metric as Root Mean Squared Error but on the LB it appears that the numbers are Mean Squared Error. Am I missing something here? https://www.kaggle.com/c/restaurant-revenue-prediction/details/evaluation Thanks for any help :-)",0,None,2,Mon Mar 30 2015 20:20:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13146,/competitions/restaurant-revenue-prediction,276th
/ionelhosu,RGB or grayscale,"The title kind of says it all. What are your opinions on this? Do you think it's possible to build a powerful model based on a grayscale representation of the data, or an RGB representation is required? In other words, could a color blind clinician do a good job at this? :)",3,None,3,Mon Mar 30 2015 20:34:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13147,/competitions/diabetic-retinopathy-detection,63rd
/asimkievich,a simple answer to a convoluted question?,"Hi there, I am not yet ready to quit on RF, even though I am hovering at 0.50 for days. One thing I thought was gonna help - and helped it has indeed but very little - is dropping noisy features. Since I am achieving my best score whenever RF only considers one third of the features per split (in RF), i thought that if I dropped bad features, then the model would improve. So I used the GBC ranking method to sort features, started dropping bad features and then ran RF on ""good features"" only. However, the score improved a tiny 0.005 - not what I expected. Does anyone have an explanation? Anyone has a suggestion to improve on RF? :)",1,bronze,16,Tue Mar 31 2015 02:32:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13152,/competitions/otto-group-product-classification-challenge,87th
/jiweiliu,bug in LB evaluation.,"Inspired by otto, I submitted some solution with non-exist level like 5 and 6 in my submission and it improves score! So admin please check the evaluation and all invalid submissions like mine. Thank you.",14,gold,8,Tue Mar 31 2015 02:59:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13153,/competitions/diabetic-retinopathy-detection,104th
/asimkievich,trick to improve your pure RF log loss by 0.01 or more,"hi there, I finally found one trick to break the 0.50 log loss with RF. If you think about it, a pure GBC scores better than a pure RF most of the time. The pure GBC is more assertive than the pure RF (that is, classes with higher probabilities are higher in GBC than in RF). So, make your RF class distribution more assertive. In doing so, I improved the score by 0.01 or a bit more. Hope it helps.",1,bronze,23,Tue Mar 31 2015 05:15:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13154,/competitions/otto-group-product-classification-challenge,87th
/aliyaseen,tutorials ,"Hi David & all, I've missed the tutorials to date due to work commitments. I did notice that following thursday & friday's tutorials, the RMSE scores dropped for most of the top 20-30 by half. I was wondering if there was any world-changing information shared at the last weeks tutorials? i.e. other data sets, suggestions for specific modelling techniques, insight into underlying data generating process? Kind Regards, Ali Yaseen",0,None,1,Tue Mar 31 2015 05:23:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13155,/competitions/thinkbigusyd,176th
/panyan,关于用户名,请大家将用户名改成： 方向（比如计应）_姓名（中文）_学号 形式，方便TA统计成绩。,0,None,1,Tue Mar 31 2015 05:32:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13156,/competitions/linear-regression-sysu-2015,None
/hengzhan,calculation of the public score,"Hi guys I'm just wondering how the score is calculated. We've work out the RMSE for the submissions of last week but noticed that the RMSEs is not related to the scores at all in some sets of data. For instance, when the RMSE increases from 60 to 100, the score actually goes down by 1. Is that normal? Besides, I've made 3 submissions today with different figures but the returned score remained the same.",0,None,3,Tue Mar 31 2015 09:21:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13157,/competitions/thinkbigusyd,73rd
/btgraham,Poisson Process competition report and code,"Attached is our competition report and source code for classifying plankton. We would like to thank Kaggle, the Hatfield Marine Science Center at Oregon State University, and Booz Allen Hamilton for putting together such an interesting competition. So long, and thanks for all the fish. Regards Ben Graham [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69139/2283/National Data Science Bowl 2015.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69139/2284/SparseConvNetRM.zip [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69139/2285/SparseConvNetBG.zip [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69139/2286/National Data Science Bowl 2015.pdf",8,bronze,1,Tue Mar 31 2015 12:12:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13158,/competitions/datasciencebowl,3rd
/wildwizard,Algorithms with Stable results or best performing?,"Hello I am fairly new here and I tried to find an answer to that topic, but I have wondered a bit about the following question without finding any answer: I spot-checked various algorithms for classification (Bayes, Trees, regression, neighbours, etc) by working on Titanic survival competition. (I must precise that for most of them, I used common parameters, since I don't know them well, It would be useless to try to tune things that I don't understand, I think. So maybe some of them had not their chance to shine?) In the end; I find a constant gap between some methods using the data such as I prepared between some methods; usually 80% for the poorly performing ones and 95 to 100% for the well performing ones. Then I decided to cross validate that with the most folds I could (since there were 891 instances, I chose a 891 fold, such as I understand it, it would be the maximum which is useful without redundancy). And there, we have new groups emerging: -good performing on total train set but poorly on folds (falling to 80%) -poorly performing on total train set but stable on folds (falling only by 1 or 2%) -poorly performing on total train set and even more on folds (falling by more than 10%). My question is, in general, what is better, to use something which has good performance even if cross validation shows not good accuracy, or use something which is stable even if not so good? In the end, both have same accuracy so is there one better? Or does it give the same results? Since evaluation of solution is made on parts of test sets, my guess would be that it is better to have something stable, but if anyway, you get the same final accuracy, I am not sure there's a real edge to that? (and also from a general, not Kaggle centered point of view, solving your problem will benefit of increasing accuracy, even if it is not the only parameter for model evaluation). So the best solution would be to increase the final accuracy on folds. (Does this change with problems at work?) Has someone around there any thoughts about that? Or is it an empty question? (Not sure, my background in ML is very scarce for now, I read various things about data and features extractions and so on, on the principles of algorithms, but I am still weak about that latter point, and maybe practical approach by Kaggle is not a very good way for that?) Thanks by advance for your insights.",1,bronze,4,Tue Mar 31 2015 12:27:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13159,None,None
/iivanov,Score ,"Подскажите, пожалуйста, каким образом считается Score при отправке решения.",0,None,3,Tue Mar 31 2015 13:59:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13160,/competitions/competition-2-yandex-shad-mipt-fivt-ml-spring-2015,4th
/larry77,Any luck with Xgboost?,"Dear All, I am toying around with xgboost, but so far my models perform horribly...I suppose the problem is between the keyboard and the chair, but I would like to know if any of you is getting decent results with xgboost in this competition. Cheers Larry77",0,None,3,Tue Mar 31 2015 14:51:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13161,/competitions/restaurant-revenue-prediction,458th
/piero111,i'm stuck with scikit learn,"hi, guys, i'm newby in data maning, and i'm stuck I desided to use python and scikit learn, and I alredy tried svm, bayes and DecisionTreeClassifier. The best score I'v achieved is.... 16(((( this parts of my code: from sklearn.neighbors import KNeighborsClassifier .... clf = KNeighborsClassifier(n_neighbors=2) clf.fit(trainData, answers) for m in testData: predict = clf.predict_proba(m) .... I dont want to get a ready solution, I know few of them in this forum, but It will be greate, if anybody share good ideas with me. And I'd like to use python+scikitLearn",0,None,17,Tue Mar 31 2015 17:00:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13162,/competitions/otto-group-product-classification-challenge,1351st
/yuanhangliu1,Difference of rf algorithm between R and Python,"HI, everyone, I am using R to do machine learning. Yesterday I tried random forest algorithm in R. After I carried out cross validation and tuned the parameter (using caret package), the model gave me a multiclass loss value around 6.2. However, I also saw that the value of the benchmark of rf in python is around 1.5 (even without any tuning parameter!!!) I am wondering why there exists such difference between R and Python implementation of rf. I would really appreciate it if someone can answer my questions :). The code for my implementation in R can be found here in [Link]:https://github.com/Liuy12/Kaggle/blob/master/Otto classification/script.R",0,None,7,Tue Mar 31 2015 18:06:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13163,/competitions/otto-group-product-classification-challenge,1650th
/iloveukulele,Looking for a team,"Hi Everyone! My name is Eve and this will be a first kaggle competition experience. I am wondering if anybody is looking for team members? Thanks, Eve",0,None,2,Tue Mar 31 2015 18:19:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13164,/competitions/word2vec-nlp-tutorial,None
/bokhyunmoon,sumbission Format,"Hi there, I have some question about submission format I already classified the category of test records by model i made. (using R randomForest packages) e.g) id=1 ---> target=class_1 ..... id=144368----> target=class_9 but i don't know how should I put the value in submission format...cuz the explanation about submission format is not clear.. Is there anybody can solve my problem??",0,None,2,Tue Mar 31 2015 18:56:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13165,/competitions/otto-group-product-classification-challenge,1879th
/xudongcao,Happy Lantern Festival Report and Code ,"Sorry about my poor English. Brief review of this competition.I joined this competition at around two months before the deadline. One of my intention to joining this game is to validate an algorithm I recently developed. So basically I only use one bullet for this competition, it works pretty well. However I found a single bullet is not enough to win the game when Deep Sea surpassed me near the end of this competition. To win the first prize, I contacted Bing’s team for cooperation and finally we formed the team called Happy Lantern Festival (the name of a Chinese traditional festival) and won the second prize. It is pleasant to work with Bing’s team, I have learned a lot during the cooperation. Due to the limited time (only 10 days left) and various time zones we are living in, we majorly cooperate in the simplest way – score combing. We moderately improved our scores after the team merge. A practical theory for designing very deep convolutional neural network.In [Link]:https://www.kaggle.com/c/datasciencebowl/forums/t/12887/brief-describe-method-and-cxxnet-v2/66910#post66910, he has summarize the solutions from his side. Herein I majorly describe my bullet for this competition: a practical theory for designing very deep convolutional neural network. In short, I cast the design of deep architecture into an optimization problem. The objective is maximizing the depth of the target convolutional neural network, subjecting to two constraints (1) the c-value of each layer should not be too small, c-value is a metric I defined for measuring the capacity of a convolutional layer can learn new and more complex patterns; (2) the receptive field of the topmost convolutional layer in the feature-level should no larger than the size of input image. I proofed under certain conditions the close form optimal solution can be obtained. Please check the attached tech report for more detailed interpretations, mathematical formulations/solutions, as well as further discussions. The networks designed according to the theory can achieve 0.606~0.610 score on the leader board, as a reference, the best of VGG-like networks (with some improvements) achieves around 0.63 score on the leader board. Model combineA set of good models does not imply a good ensemble. Performance stop growing when I add more than 4 good models into the ensemble. Interestingly, it helps to add some mediocre models (similar findings are also reported by Deep Sea). The final ensemble is consist of 4 good models, a VGG-like model and 2 variants of the good models. The 7-model ensemble achieved 0.582 leader board score. Combining with Bing’s score, we final achieved 0.574 score on the public leader board. Training and testing data augmentationI used affine transformation for both training augmentation and testing augmentation. The training augmentation is more aggressive comparing to the testing augmentation. For training, the scale range is 0.2~2.0, the shear range is -0.7~0.7, the ratio range is 0.6~1.4, the rotation range is –pi~pi; for testing the scale range 0.6~1.4, the shear range is -0.5~0.5, the ratio range is 0.8~1.2, the rotation range is –pi~pi. All parameters are randomly sampled from uniform distribution. It is worth noting the augmentation configurations are entangled with the CNN structures. The stronger the fitting power a CNN has, the more aggressive augmentation should be applied. Some mistakes I made in this competition.A bullet is not enough to win a competition. Deep sea use a very smart strategy in this competition i.e. accumulating many good bullets and fire them all at the very end of the competition.I did not try Dr. Ben’s fractional max pooling. I used convnet2 for this competition, it is cool in terms of its speed, but its framework is not friendly to adding new features such as Fractional Max Pooling (Dr. Ben), Deeply Supervised Networks (Zhuowen Tu), Batch Normalization (Google) etc.No task specific design/features. This is exactly where I appreciate the first prize winner deep sea, their cyclic pooling/rolling and additional specifically designed features are very insightful and substantially improve the score. The attached files1. I use convnet2 for this competition. I only changed the data provider of convnet2 for online data augmentation. The revised files are zipped in the revised_files.zip.2. Algorithm report: A practical theory for designing very deep convolutional neural network [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69182/2287/A practical theory for designing very deep convolutional neural networks.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69182/2288/revised_files.zip",23,gold,8,Tue Mar 31 2015 19:06:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13166,/competitions/datasciencebowl,2nd
/aseem1,23 city names in test not found in train,"Hi, How do you deal with cities not present in train.. Do you just check the closest open date and city group type thanks",0,None,1,Tue Mar 31 2015 19:34:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13167,/competitions/restaurant-revenue-prediction,2156th
/ashhafez,asm instruction set,In case anyone finds it useful http://sparksandflames.com/files/x86InstructionChart.html,3,bronze,1,Tue Mar 31 2015 20:36:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13169,/competitions/malware-classification,34th
/arsenal,Does minimizing multi class log loss make sense?,"This doubt is only for this particular problem. I couldn't find the flaw in my reasoning, and I would be happy to know if there's one, so please correct me if I'm wrong. And sorry for the long description. I think the purpose of this classification task is to capture the underlying structure of the classification rule of the products. I am assuming that the ""true"" classification rule includes some fuzzy logic besides a complex deterministic rule, which means, if the classification of products were done by human, it's prone to be contaminated slightly. Otherwise, if the classification rule is deterministic, the classification can be done by machine with perfect accuracy and there's no need to host this contest. i.e. My assumption is, the data given to us was slightly contaminated, e.g. 97% true labels and 3% false labels. Now comes the problem. What we want is to approximate the classification rule behind the 97% data with true labels. I think it's quite clear that the 206000 data were randomly split into training and testing data, so let's assume that both the training and testing data have 97% true labels and 3% false labels. (97% and 3% are just examples.) Consider two models: 1) Model 1 capture the classification structure of the 97% data with true labels almost perfectly, which is also the optimal model we want. For the simplicity of calculation, let's assume it classify those true labels data with 0.99, and false labels data 0.01. The multi class log loss is then - ( 3% * ln(0.01) + 97% * ln(0.99) ) = 0.148. 2) Model 2 capture the classification structure of the 99% data including 97% true labels and 2% false labels almost perfectly. let's also assume it classify those true labels data with 0.99, and false labels data 0.01. The multi class log loss is then - ( 1% * ln(0.01) + 99% * ln(0.99) ) = 0.056. The basic idea behind this is just: if the provided data is not 100% accurate, then minimizing multi class log loss which penalizes false confident predictions heavily will not be a good strategy. PS: The reason I came to think of it is because I applied my 0.441 LB (local CV 0.472) score xgboost classifier on the training data. I found that about 97% of the training data got the highest predicted prob for its ""true"" label. I trained my xgboost classifier on only this 97% training data, the local CV dropped significantly to 0.37, yet the LB score increased to 0.47. My explanation of this would be the test data has the exact same wrong structure for those 3%.",0,None,4,Tue Mar 31 2015 21:42:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13171,/competitions/otto-group-product-classification-challenge,170th
/entiangao,What program language can be used in Kaggle?,"This is my first time in Kaggle, and would like to know what programs can be legally used for this competition. C/C++ would be OK? Thanks!",0,None,13,Wed Apr 01 2015 01:42:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13172,/competitions/otto-group-product-classification-challenge,None
/vinhnguyen,"Some observations on deep NN, log-loss and error rate","I'm trying out a deep NN structure using the Matlab deep learning toolbox by Ramus Berg (https://github.com/rasmusbergpalm/DeepLearnToolbox) Nothing too fancy or too deep, just a network with a topology of [93 2000 2000 9] with 0.5 dropout rate. The error curves look like the below. The misclassification error rate stabilized at ~18.5% even after 5K epochs, indicating that there is not much overfitting. However, the Log-loss shoots up to 1.7. The prediction produced a comparable score on the LB of 1.7. I noticed that most predictions were quite extreme (~1 for one class and ~0 for all others). So I added 0.25 to all prediction entries to soften the prediction, and that improved the log-loss score to 1.1 on the LB. Any ideas on the conflicting behavior of the log-loss vs classification error rate? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69239/2291/error.png",0,None,6,Wed Apr 01 2015 02:52:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13173,/competitions/otto-group-product-classification-challenge,644th
/jerryshi,Can this dataset be used in some academic work?,"Hi , Since there is not rule been said explicitly in the description, I am wondering, can one could the dataset in some academic work?",1,bronze,17,Wed Apr 01 2015 02:53:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13174,/competitions/malware-classification,None
/asimkievich,any tips on dimensionality reduction?,"using sklearn.manifold.MDS - it takes FOREVER. I highly appreciate any tip. Whether dimensionality reduction helps or not, that is a different story. But I would like to give it a try. Thanks. A",0,None,1,Wed Apr 01 2015 04:19:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13175,/competitions/otto-group-product-classification-challenge,87th
/smallyellowduck,recommended reading for neural network architecture selection?,"I would really like to get a better understanding of how to go about selecting and optimizing neural network architecture - or even whether there is much value to be gained from being smart about choosing the network architecture. So far I've found http://cs231n.github.io/ helpful as a basic introduction. However, I would like a better understanding of how to go about selecting network architectures that is more sophisticated that ""we picked some parameters and they seem to work OK"". How many layers? How many filters for each convolutional layer? What should the dimensions of the conv filters be? Any reading recommendations?",8,silver,8,Wed Apr 01 2015 07:24:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13177,/competitions/diabetic-retinopathy-detection,None
/yfiua6,Is scientific notation correctly recognized?,"Sorry I'm new here and my question is kinda noobish. My model produces results like this: 48122,0,0.049621635,0.033612395,0.059806835,0,7.0746374e-005,0.0003522367,0,0 so do I have to convert 7.0746374e-005 or not?",0,None,4,Wed Apr 01 2015 11:02:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13179,/competitions/otto-group-product-classification-challenge,2781st
/varunnagarajan,Explanation of prediction algorithm used to create an impact,"Hi Guys, I am very new to kaggle, but i have some basic knowledge on predictive analysis. I wanted to find some data sets and some simple prediction model (like regression, ARIMA or drift etc) used. The prediction should have created an impact (like increase sales in a company by several million dollars or provide extensive healthcare improvement etc.). Where can i find such a case study.",0,None,3,Wed Apr 01 2015 16:08:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13183,None,None
/ilyakorsunsky,Trends in Anonymized Columns,"Hi All, this is my first Kaggle competition and it was recommended to me to explore the data before committing to predictive models. I found two (possibly) interesting trends: 1) Columns P14-P18, P24-P27, P30-P37 are highly correlated pairwise. I think this is because the value 0 is very frequent in all of these variables, and the 0 event for each column has the exact same relationship to revenue for all samples. Does this mean these variables should be merged, ignored, or something else? 2) Columns P 1, 14, 16, 17, 18, 20, 21, 31, 35 (mostly) have values 1,2,3,4,5 and then multiples of 3: 6, 9, 12, 15. Columns 19, 23, 30, 32 have a similar pattern, but with multiples of 5: 10, 15, 20, 25. This pattern seems to consistent to be random. If the features are categorical, then the actual values don't matter, but it is odd that the values are not consecutive. If the features are numerical, then it seems unlikely that there aren't any values in between. Any thoughts on how this may be useful? Thanks for any feedback!",1,bronze,2,Wed Apr 01 2015 16:58:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13184,/competitions/restaurant-revenue-prediction,1535th
/avishek,Updating xgb models with additional trees/iters,Did anyone find a way to update an existing xgb model with additional trees/iterations without having to train the model from scratch?,0,None,2,Wed Apr 01 2015 17:25:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13185,/competitions/otto-group-product-classification-challenge,248th
/davidbess0,Revenue vs Profit,"I think that there would be a strong class bias in the target variable if we are using revenue. Some type of normalized measure, such as % return on investment might be a better target variable. Some geographies will have much more revenue, but would not even be profitable. For example, in Silicon Valley you might pay three times as much for a meal, but also have to pay 3-4x as much in wages, taxes, insurance, etc...",0,None,4,Wed Apr 01 2015 18:43:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13186,/competitions/restaurant-revenue-prediction,None
/huanglu0,Look for partners,"Hi all, My name is Lu and I am very interested in this competition. I have a master degree in statistics and PHD degree in Operations Management (supply chain management). I have taken multiple machine learning course in Coursera and will join in Google as a quantitative analyst this summer. I am looking for partner(s) with more background in machine learning to do this project together. I am proficient in R, matlab and python. If you are interested, please email me at luhuang62@gmail.com.",0,None,18,Wed Apr 01 2015 19:02:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13187,/competitions/restaurant-revenue-prediction,None
/jiweiliu,Dear (future) top 10 participants,Could you tell me what to do now? I'm basically just eye-balling each malware now : (,1,bronze,11,Wed Apr 01 2015 20:08:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13189,/competitions/malware-classification,1st
/mniininen,Another approach to win this challenge? ,If you are wondering how to get started this might just be the winning formula for this challenge. [Link]:http://ag1le.blogspot.com/2015/04/el-bug-novel-morse-decoder-based-on.html,1,bronze,5,Wed Apr 01 2015 22:18:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13190,/competitions/morse-learning-machine-challenge-v2,None
/juanvpuertos,A priori,"Hi, Maybe it should be obvious, but I wonder is the a priori probability of the training set the same of the population?",0,bronze,3,Wed Apr 01 2015 22:58:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13191,/competitions/otto-group-product-classification-challenge,None
/youweichen,Is this competition suitable for team?,"Hi, I am new to kaggle competition, is it appropriate to form a group for this competition? If it suitable for group, is there any group recruiting? A little background of myself: I am software engineer, working in finance in last 10 years. For my master degree, I took many data analytic classes, and have followed few kaggle competition solutions. I would be able to contribute, please let me know if anyone want to team up to solve the issue. Thanks Youwei youwei23@gmail.com",0,None,3,Thu Apr 02 2015 00:54:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13192,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/domcastro,Puppies are always right!,[Link]:http://bleacherreport.com/articles/2416920-jimmy-fallon-uses-puppies-to-predict-which-team-will-win-2015-ncaa-tournament?utm_source=twitter.com&utm_medium=referral&utm_campaign=programming-national,2,bronze,3,Thu Apr 02 2015 01:22:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13194,/competitions/march-machine-learning-mania-2015,8th
/stevekoch,"Any clarification on ""various locations"" / remote work?",Are the admins able to provide any further information about where Walmart may locate their data scientists? Or whether their data science team(s) will be interested contract / remote work?,1,bronze,2,Thu Apr 02 2015 01:46:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13195,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/richardepstein,Textbook suggestions,"I've participated in a number of Kaggle (and similar) Machine Learning/Data Mining competitions. I've decided to learn R for this contest. For somebody who has strong (non-R) programming background and has played with most of the common data models, which of the following books would be most useful (or other books, if not listed): R for Data Science, ToomeyR machine Learning Essentials, UsuelliData Mining Algorithms Explained Using R, Cichosz, PawelLearning Data Mining with R, Makhabel Practical Data Science with R, Zumel -Thanks",1,bronze,7,Thu Apr 02 2015 03:42:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13197,/competitions/otto-group-product-classification-challenge,139th
/eijawolf,0.13845  on LB - negative probabilities again?,Just got this from kaggle mail. Checked out the board - already 0.13845. Is it the same as with Otto competition?,-3,None,3,Thu Apr 02 2015 04:12:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13198,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/jiweiliu,How to go Anonymous?,Kind of cool 8=) Edit: I see. this is thoughtful!,0,None,3,Thu Apr 02 2015 06:01:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13199,/competitions/walmart-recruiting-sales-in-stormy-weather,416th
/arsenal,T(Trace) in columns snowfall and preciptotal in weather.csv,"I don't understand what ""T"" or ""Trace"" is in these two columns. I will share what I learnt from my google search: Basically, snow is measured in 0.1 inch (tenths), a trace is anything that fell but accumulated to less than 0.1 inches; rain is measured in 0.01 (hundredths), a trace is anything that fell but accumulated to less than 0.01 inches. Hope this helps.",14,gold,1,Thu Apr 02 2015 06:05:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13200,/competitions/walmart-recruiting-sales-in-stormy-weather,25th
/parthshrotri,Are you an Aspiring Data Scientist ? Here is what you need to know,Here is an article I published for aspiring Data Scientists. https://www.linkedin.com/pulse/you-aspiring-data-scientist-here-what-need-know-parth-shrotri,-3,None,1,Thu Apr 02 2015 07:34:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13203,None,None
/joshstone,Similar Scores on LB,"Three scores that are the exact same on the LB this early...did I miss a benchmark post or something? Edit: Found the ""no sharing"" rule. No further need for discussion here. Sorry.",0,None,1,Thu Apr 02 2015 07:46:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13204,/competitions/walmart-recruiting-sales-in-stormy-weather,27th
/mathurinache,Script R/Python to test in one batch many classification algorithms ?,"Hi all, I search a script in R or Python or whatever to test ""on the fly"" many supervised algorithm like GBM/Random Forest/Deep learning/SVM/BayesianNaive ? I search on kaggle forums and google and don't find anything. If you have something like this, I'm very interested. Thanks for your help Have a good day M.",1,None,4,Thu Apr 02 2015 07:48:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13205,None,None
/pappukrjha,which models to use when training data set is much smaller than test data set?,"Dear all, I have been using SVM, Adaboost, Random Forest's base models and have performed best to 114th rank. Are there some other apt models to use in this scenario because training data size is much smaller that test data size? Thanks, Pappu",1,None,17,Thu Apr 02 2015 12:13:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13207,/competitions/restaurant-revenue-prediction,1035th
/wolfganggross,Putting the Data together,"Hey everybody, the first thing I did for this competition was putting the data for the three files (key, train, and weather) together in one DataFrame. I'm using pandas DataFrames for that. My approach is to go through every row in the train file find the Store_nbr look up the Station_nbr in the key file and get the wether for the station and date of the row. Then I add a row (with the train and the weather information) to a new DataFrame. This takes for ever and is most certainly not the best method. How did you do it? And does anybody have a good reverence of some teaching material that deals with this problem of data preparation. I feel like I have trouble with that more than I should. Thanks",-3,None,2,Thu Apr 02 2015 15:03:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13208,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/madtrini,Is Matlab home allowed? ,"Hey all, Does anyone know if Matlab home edition is allowed for Kaggle contests? There are three variants: commercial,home,and student editions. Are all three eligible under contest rules? Thanks.",1,bronze,5,Thu Apr 02 2015 16:18:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13209,/competitions/restaurant-revenue-prediction,280th
/inversion,Competing for Fun,"I hope it's okay to compete here for fun, and not necessarily to land a job at Walmart? Just to check with the organizers, is the preference to only have potential applicants compete? Or are you open to anyone? I see that Kaggle points are awarded for this, and the data set looks fun. So, I'm hoping ""the more the merrier"" is the sentiment.",4,bronze,3,Thu Apr 02 2015 20:37:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13212,/competitions/walmart-recruiting-sales-in-stormy-weather,58th
/mattoc,SAS,HI. I assume there is no issue using SAS? Thanks,0,None,15,Thu Apr 02 2015 22:06:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13213,/competitions/restaurant-revenue-prediction,2131st
/gisselle,Predicting extreme values?,"I used a regression with transformed variables blended with decision trees and that has worked reasonably well based on the score. However, I plotted the histogram of the predicted vs. the observed values and realized that my method is overestimating small values and underestimating the very large values - has anyone had the same problem? Is there a good learning algorithm for predicting these observations that fall more towards the edges of the response distribution?",0,None,2,Fri Apr 03 2015 00:42:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13215,/competitions/restaurant-revenue-prediction,783rd
/jjjjjj,Can I manually construct a feature based on my knowledge of Turkish cities?,"Can I manually construct a feature based on my knowledge of Turkish cities? It's not clear to me if this constitutes external data or not. In fact, it's not clear to me if external data is permitted or not. Thanks JJJ",0,None,1,Fri Apr 03 2015 04:52:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13216,/competitions/restaurant-revenue-prediction,476th
/jeneskimos,Data preprocessing,"Hi! I have some strange problem with data preprocessing. I use svm regression and when i looked to my code i found mistake - i used different scaler for train and test data like this: P_train=scale(train) P_test=scale(test) I corrected it like scaler.fit(train) P_train=scaler.transform(train) P_test=scaler.transform(test) and i waited that my LB scores will be increased, but it made opposite effect. I had score ~1710000 and it became ~1750000 Is it problem with my, and my undestanding of data preprocessing? If not why it can be? Thanks in advance",0,None,8,Fri Apr 03 2015 10:30:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13217,/competitions/restaurant-revenue-prediction,1687th
/thomasseleck,Hardware configuration for this challenge,"Hello everyone, What are the hardware configuration that you use for this challenge ? I ask this question because I tried to extract features using n-grams of 4 bytes but my 8 gigs of RAM are not enough.",0,None,4,Fri Apr 03 2015 11:21:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13219,/competitions/malware-classification,220th
/user1923324302,How to check the score before submit?,Thanks :-),0,None,1,Fri Apr 03 2015 12:12:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13220,/competitions/otto-group-product-classification-challenge,1026th
/Wishalsp3333,RR1 with value -99900,"When finding the average of the column RR1 ,if there is a value -99900 in it then the whole value becomes negative. Now should be consider that value or leave it or substitute it with some other number?",1,bronze,4,Fri Apr 03 2015 13:16:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13221,/competitions/how-much-did-it-rain,None
/del=220e353250f88ef9,"How to handle "" missing data "" ?",,1,None,1,Fri Apr 03 2015 14:00:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13222,/competitions/how-much-did-it-rain,None
/davidjames,An RF question,"Hi, just wondering if it is possible to obtain information about why a RF made a given classification?",0,None,1,Fri Apr 03 2015 16:23:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13223,/competitions/otto-group-product-classification-challenge,2080th
/landdropper,Way too big RMSE for that kind of test predictions,"As far as you may noticed, Sample Submission Benchmark got the result around 45% of the average revenue value. What it means - if you make few ajustments to predicted revenues - using some obvious assumptions. And then SLIGHTLY change the average revenue according to those ajustments - u will almost garanteed get results slightly better than that benchmark. In worst case scenario u will have result that slightly worse then that(in case ur assumptions are fail). But when i implement that kind of theory on practice - i get RMSE around 40 000 000. Which means 900 % of average revenue!!! Even tho my predictions average revenue is almost the same as in train data and dispersion is about 25% of average revenue. how is that possible? p.s.I checked my submission manually - i didnt made mistake at calculating average revenue and dispersion.",0,None,4,Fri Apr 03 2015 19:14:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13225,/competitions/restaurant-revenue-prediction,454th
/preeti,Do variable importance and running model based on those is of help in categorical modelling?,"I have run GBM , Randomforest, ensemble models but not getting accuracy more than .55 , I am thinking to try variable importance techniques ?Do this approach is right for classification modelling?",0,None,22,Fri Apr 03 2015 20:13:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13226,/competitions/otto-group-product-classification-challenge,969th
/lazovich,"Improve on validation set, no improvement on LB?","Hello fellow Kagglers, I am a relative newcomer to the competitions here. I've been having a lot of fun trying out different ideas. One thing I have found frustrating, however, is that improvements that I seem to make locally don't translate to improvements on the leaderboard, and I am unsure why. I do split the data into a training set and a validation set (75% for training, 25% for validation). When I check a new approach and see if the log loss improves (compared to testing a previous method) on my validation set, I get excited and go submit to the LB, only to find that my test set score was worse! Is this a common phenomenon? Does it point to something I am clearly doing wrong on my end? I am using scikit-learn's train_test_split function to separate my training and validation sets. Thanks for your help!",0,None,3,Fri Apr 03 2015 20:38:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13227,/competitions/otto-group-product-classification-challenge,1318th
/benhamner,Kaggle Scripts,"We’ve just released Scripts, a new feature that’s only enabled here and on the digit recognizer competition (for now). Check out some cool examples of scripts we've written: [Link]:https://www.kaggle.com/users/993/ben-hamner/bike-sharing-demand/bike-rentals-by-time-and-temperature#script-save-run [Link]:https://www.kaggle.com/users/993/ben-hamner/bike-sharing-demand/random-forest-benchmark#script-save-run [Link]:https://www.kaggle.com/users/993/ben-hamner/bike-sharing-demand/bike-rentals-by-time#script-save-run This feature enables you to run R code directly on the bike sharing dataset without needing to download the data or even leave your browser. We’ve preloaded the environment with our [Link]:https://www.kaggle.com/users/993/ben-hamner/bike-sharing-demand/installed-r-packages#script-save-run. You can get started by [Link]:https://www.kaggle.com/c/bike-sharing-demand/scripts/new. The goals for this are twofold. We want to make it frictionless to get started on a dataset, and we want to make it frictionless for you to share cool insights you’ve found. Without Scripts, to get started on the dataset you need to download the data, download the sample code, and setup your local computational environment. This can be painful and time-consuming. With Scripts, all of this is preloaded in your browser - all you need to do is press “Run” to generate a new set of results. You can tweak and edit it from there. We don’t expect you to stay in this environment for very long: your favorite analytics environment (whether it’s RStudio or iPython Notebook) forms a far more refined interactive experience. Once you’ve made a couple passes exploring the data and tweaking the examples, it makes sense to work locally to iterate faster. The second way we find Scripts compelling is to share cool models and insights on the data. Right now, users are sharing code and insights by posting on the forums and attaching code/image files, or linking to externally hosted blogs. This is great, but it’s still tough to recreate and build on these results locally. Scripts provide a far better way to do this for any code that it can currently run: you can paste the code into Scripts, press run to generate the results, and then share the combined code and output with the world. To give you a sense for some of what's coming next, we're currently working on Python support as well as polishing many aspects of the design / user experience for this feature. Please let us know about any issues you encounter using Scripts, as well as ideas you have to make it better. We’d love to have your input as we build on and refine this feature.",16,bronze,7,Fri Apr 03 2015 22:55:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13228,/competitions/bike-sharing-demand,2167th
/kazanova,tgtg ...,So this guy joined 2 hours ago... and is already 2nd in the leader board? Foolish move,12,silver,20,Sat Apr 04 2015 01:16:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13229,/competitions/malware-classification,2nd
/naviji,How to enroll for this topic ?,"Hi, I'm new to Kaggle. Could anyone please let me know how to enroll for this contest. Thank You, Sharath",0,None,2,Sat Apr 04 2015 16:20:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13230,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/duesentrieb,Feature Engineering,"Hello, I'm following the tutorial of wehrley. An R tutorial for the Titanic dataset: https://github.com/wehrley/wehrley.github.io/blob/master/SOUPTONUTS.md I have just one problem with this function: ## function for extracting honorific (i.e. title) from the Name featuregetTitle <- function(data) { title.dot.start <- regexpr(""\\,[A-Z ]{1,20}\\."", data$Name, TRUE) title.comma.end <- title.dot.start + attr(title.dot.start, ""match.length"")-1 data$Title <- substr(data$Name, title.dot.start+2, title.comma.end-1) return (data$Title)}df.train$Title <- getTitle(df.train)unique(df.train$Title) This code just returns blank values. Any suggestions on that? Could someone help me? Thanks",0,None,1,Sat Apr 04 2015 16:57:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13231,/competitions/titanic,None
/dkozak,Cross validation,"I've been using LOOCV to test the RMSE of my runs and determine which models to submit each day. It seems that minimizing my error this way doesn't translate to the leader board, my best ranked model according to the leader board is towards the bottom of the rankings according to the CV scores, and my best ranked according to the CV scores does horribly on the LB. Since there are too few samples to do separate train/test/validate sets does anyone have any insight as to how to check a model's accuracy without submitting or how to approach this particular issue?",0,None,4,Sat Apr 04 2015 18:09:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13232,/competitions/restaurant-revenue-prediction,824th
/domoldo,Clarification on item ids,"As far as I can tell I am allowed to ask this question without breaking the rules, so here goes: In the data description it says: These 111 products are sold in stores at 45 different Walmart locations. Some of the products may be a similar item (such as milk) but have a different id in different stores/regions/suppliers. Does that mean that any given item is the same thing in all stores? (i.e. item id 1 doesn't refer to completely different products in different stores?)",1,bronze,9,Sat Apr 04 2015 18:49:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13233,/competitions/walmart-recruiting-sales-in-stormy-weather,149th
/alexmiller,Random forests?,"Hello all, I am relatively new to machine learning. Here we are trying to predict revenue, which is a continuous variable. I have noticed talk about using random forests, which I have only ever seen associated with classification problems. Will someone explain (theoretically) why/how a random forest might be applied? I'm not asking for any sample code - just some intuition.",1,bronze,6,Sat Apr 04 2015 19:42:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13234,/competitions/restaurant-revenue-prediction,238th
/hogwild,Frequency distribution of P variables,"Here is the frequency distribution of P variables generated using sqldf in R. Should help in EDA. P1_TRAIN = sqldf(""select P1, count(*) as freq, round((count(*)*100*0.00729927007299),2) as pct from train group by P1"")P1_TEST = sqldf(""select P1, count(*) as freq, round((count(*)*100*0.00001),2) as pct from test group by P1"")sqldf(""select P1_TRAIN.P1 as P1_TRAIN, P1_TRAIN.freq as P1_TRAIN_FREQ, P1_TRAIN.pct as P1_TRAIN_PCT, P1_TEST.P1 P1_TEST, P1_TEST.freq P1_TEST_FREQ, P1_TEST.pct as P1_TEST_PCT from P1_TRAIN left outer join P1_TEST on P1_TRAIN.P1 = P1_TEST.P1 union select P1_TRAIN.P1, P1_TRAIN.freq, P1_TRAIN.pct, P1_TEST.P1, P1_TEST.freq, P1_TEST.pct from P1_TEST left outer join P1_TRAIN on P1_TRAIN.P1 = P1_TEST.P1"") [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69666/2301/frequency_eda.txt",3,bronze,1,Sat Apr 04 2015 23:20:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13235,/competitions/restaurant-revenue-prediction,31st
/mlearn,Raw and inferred data,It's been said that some of the data columns are raw radar measurements and some of the columns are computed based on others. Could we get a complete list of which are the raw radar measurements and how the remaining columns are computed from the raw measurements? Thanks.,0,None,4,Sat Apr 04 2015 23:41:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13236,/competitions/how-much-did-it-rain,31st
/larry77,SVM + Caret fails?,"Dear All, I am trying to train a very simple SVM model on the otto group data, but... it crashes with the error message line search fails -1.324234 -0.3034165 1.505716e-05 4.159263e-06 -1.826143e-08 -1.51833e-08 -3.381166e-13 Does anybody understand what is going on? Google did not help much this time. I paste below the script, which is really just a few lines of code. Any ideas? ##################################################### library(doMC)library(caret)## library(randomForest) ncores <- 10 train<-read.csv(""train.csv"", header=T,stringsAsFactors = T )train = train[,-1] ## get rid of the id column which is irrelevant ctrl <- trainControl(method = ""cv"",number=5, savePred=T, classProb=T) registerDoMC(cores = ncores) set.seed(1234) ## now shuffle everything!!! shuffle <- sample(nrow(train)) train <- train[shuffle,] svmGrid <- expand.grid(C = seq(0.1,3.1,by=0.3)) tuneGrid = svmGrid mod <- train(target~., data=train, method = ""svmLinear"", trControl = ctrl, tuneGrid=svmGrid, verbose=T)",0,None,2,Sat Apr 04 2015 23:48:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13237,/competitions/otto-group-product-classification-challenge,532nd
/clustifier,Vowpal Wabbit raw predictions (-r option) to submission file,"Hi, Can you please take a look and suggest what I'm doing wrong? I've tried to use Vowpal Wabbit like the following: 1) Validation:>> vw train -f model --oaa 9 -c --passes 100 -b 24 -l 0.7 --loss_function logistic...passes used = 12...average loss = 0.010129 h 2) Train:>> vw train -f model --oaa 9 -c --passes 12 -b 24 -l 0.7 --loss_function logistic --holdout_off ... 3) Predict:>> vw test -t -i model -p vw.pred -r vw.rawp 4) Submission:Convert the vw.rawp file to kaggle submission file by softmax on the raw predictions. But I'm getting very bad LB score (~0.08) compared to the validation score. Can you please point me to what I'm doing wrong? Thanks,C",0,None,3,Sun Apr 05 2015 03:14:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13238,/competitions/malware-classification,11th
/ydhiman,python equivalent of nearZeroVariance in R ,I am looking for a module in python similar to nearZeroVariance function in R. Please help,0,None,2,Sun Apr 05 2015 08:35:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13241,/competitions/restaurant-revenue-prediction,608th
/seneca,Understanding zeros ,"Is it known whether for a particular product and store, zeros represent: stocked and no sales out-of-stock? Similarly, it would be helpful to understand whether the maximum sales on a particular day are because a store ran out of stock. One obvious assumption is that if the sales on all days for a product in a store are zero, then the product was never stocked.",0,None,1,Sun Apr 05 2015 17:15:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13243,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/davidzwoo,'M' Values in weather.csv,"I'm seeing value 'M' in some of the columns in weather.csv. It seems mostly in station 5 and seeing value 'M' in most of the columns for date ranges for June onwards. Is this a data error issue? Best, David",0,None,1,Sun Apr 05 2015 21:20:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13244,/competitions/walmart-recruiting-sales-in-stormy-weather,128th
/eeyore02138,"What does ""Kaggle"" mean?","I'm sort of stuck on needing to know what ""kaggle"" means before I use the site....I've searched the wiki with no luck and if I search the site itself it gives all sorts of text mining hits. Is it absolutely a made up word or does it have a meaning? thanks!",6,None,2,Sun Apr 05 2015 21:20:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13245,None,None
/jorgensen,Clamping the probabilities,"There is a significant penalty if the correct category for an item is category ""X"" and you estimate the probability of category ""X"" as zero. On the other hand there is not nearly so great a penalty if you estimate that the probability of category ""X"" is slightly less than 1. My question is: Is there some ""epsilon"" such that we should never estimate the probability of an item being in a category as being less than epsilon (assuming we have normalized the probabilities so that they sum to 1.0)?",0,bronze,6,Sun Apr 05 2015 22:30:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13246,/competitions/otto-group-product-classification-challenge,None
/aizvorski,Some results,"Hi guys - I thought I'd share some results. Confusion matrix, rows = human label, columns = predicted. [[ 1175 90 23 3 0 ] [ 72 37 12 1 0 ] [ 55 53 98 58 1 ] [ 0 1 4 38 1 ] [ 0 3 2 28 3 ]] Kappa ~0.781 Binary classification, none or mild (0-1) vs moderate and above (2+): ROC AUC ~0.93473% TPR at 5% FPR84% TPR at 10% FPR ROC curve attached. I'm wondering if anyone has a model that would be good to combine with this? Regards, Alex [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/69765/2302/roc auc.png",7,silver,16,Mon Apr 06 2015 06:21:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13248,/competitions/diabetic-retinopathy-detection,18th
/reza19,using data for scientific research,Could we use the data for scientific research?,1,bronze,1,Mon Apr 06 2015 07:27:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13249,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/charlesroberson,Best probability metric vs MOV?,"Decided to pull this out of the ""Changes for next year"" thread to allow a more theoretical discussion. I previously thought that MOV might be a reasonably accurate predictor of probability of win and some in the other thread mentioned exact probabilities for specific point spreads. I've decided that isn't true. I think MOV doesn't properly measure a ""close game"". I have seen a number of sports match ups where it was a close match for the first 99% of the game and ""magic"" happens in the last 1% producing a large enough MOV that doesn't properly reflect the actual struggle throughout the match. OTOH, I've seen Chess games that went into a long endgame (seemingly close game) where one side was in command for most of the game. I think a more accurate metric should consider the struggle throughout the match: number of times the lead changed hands, average point spread though the game, standard deviation of the point spread.... Of course, this is a very nebulous problem which is why I decided to create a new thread for it.",2,bronze,1,Mon Apr 06 2015 08:21:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13250,/competitions/march-machine-learning-mania-2015,202nd
/grigorydymov,Спасибо за участие!,"Уважаемые участники, большое спасибо за участие. Надеюсь, Вам понравилось :) Ну и конечно, поздравления победителям!",1,bronze,1,Mon Apr 06 2015 09:59:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13251,/competitions/a2,None
/naveenkaveti,I am stuck after getting a score of 0.54 using Random forests and SVM....,"Hi Guys, I used ensemble of Random Forests and SVM and end up with 0.54 score. I don't have enough ideas to improve my model. Can someone guide me how to improve the model, please. I request you to not to post direct answers I just need guidance. Thanks in advance...",0,None,9,Mon Apr 06 2015 10:16:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13252,/competitions/otto-group-product-classification-challenge,1721st
/joseleiva,What's the point of encrypting test.csv?,"I don't need the file, all the necessary information is contained in sampleSubmission.csv. So, what is the point of providing the file test.csv in an encrypted way?",3,bronze,2,Mon Apr 06 2015 11:15:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13253,/competitions/walmart-recruiting-sales-in-stormy-weather,16th
/carlosrodrigues,Predictive modeling,"Hello, Im a truly noob around here hehehe I started this adventure in data mining two months ago and I am reading and playing with R. Right now I am looking for information about classification problems(prediction) with more than 2 class's, however It has been difficult to me to find literature or posts here about it. If someone could help me with it i would appreciate Regards CarlosR",0,None,2,Mon Apr 06 2015 12:06:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13254,None,None
/ankitadhawale,No of Instances,"Actually I am not getting the data ,as mentioned it is from April to November and that to first 8 days,then how come 1126694 rows.I need a clarification single row indicating a what ???",0,None,3,Mon Apr 06 2015 16:40:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13256,/competitions/how-much-did-it-rain,192nd
/dand2322497,Best expected result using KNN?,"Hello everyone, I was wondering what kind of score (best), one can expect to get on the Titanic problem, when using a KNN algorithm. Is it possible to get 78% or 79% correct results on the test set, for example, using KNN? Thanks. Dan",0,None,1,Mon Apr 06 2015 22:00:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13258,/competitions/titanic,None
/georgesolymosi,Unrecognizable distinctions between stage 0 and stage 2?,"As I was studying the possible distinction between DR stages and the pictures belong to those, I found that I did not find any distinction between pictures 40_right and 40_left, meanwhile the label file shows stage 0 and stage 2 respectively. Perhaps it is my bad?",1,None,24,Tue Apr 07 2015 01:59:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13259,/competitions/diabetic-retinopathy-detection,582nd
/rohanrao,The real 'Titanic',"There was speculation right from the beginning that this competition would be the most popular one on Kaggle given the simplicity and structure of the data and the problem. Higgs Boson had 1785 teams, whereas Otto now has 1900+ teams and we're not even halfway there. Are we looking at 4000+ teams?",4,bronze,6,Tue Apr 07 2015 08:53:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13261,/competitions/otto-group-product-classification-challenge,806th
/joseleiva,Congratulations to the winners and the organizer,"I'd like to congratulate the winners of the competition. Their performance has been really outstanding. Also, I'd like to congratulate the team ""One Shinning MGF"". They have shown a great consistency in their model (1st last year, 4th this year). Finally, I thank Jeff Sonas for making the competition so interesting. I'll try to improve my poor results next year, If the competition is re-launched.",10,gold,14,Tue Apr 07 2015 09:28:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13262,/competitions/march-machine-learning-mania-2015,186th
/silpara,"Algorithm Selection, Parameter Tuning. Strategies?","Hi, I have very limited computational power to work with and cannot afford to run algorithms for days for testing or to find better parameters. Therefore my primary interest lies in learning efficient model building and tuning strategies, especially when data set itself is not huge. Are there any clever data model selection, parameter tuning strategies you are aware of? Research material? Blogs? Also, how much effort does it take to write the algorithms rather than using them out of box from the packages? For Kaggle competitions is it really necessary to write own codes for algorithms like RF, SVM etc or do you guys use existing codes and modify them to suit needs? I know there are a lot of questions I have asked, but I believe I am asking them to just the perfect bunch of people out there :)",1,bronze,4,Tue Apr 07 2015 09:42:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13263,/competitions/otto-group-product-classification-challenge,1877th
/crimeprophet,Anyone else glued to the leader board to see the .4 barrier broken?,I hold my breath every time I look... I want to see them break it but at the same time will be stressed out if they do! Currently at 0.40024. How close can they possibly get!?,1,bronze,29,Tue Apr 07 2015 18:05:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13265,/competitions/otto-group-product-classification-challenge,100th
/coldcanuck,Tools / Language,Hey Guys just checking what language / tools are you using in this problem ? Almost every solution that I'm approaching is using or licensed products or open-source with limited comercial use. Thanks,1,None,3,Tue Apr 07 2015 19:01:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13266,/competitions/diabetic-retinopathy-detection,None
/yulianikonova,Отличие category и ordered category,"В чем отличие category и ordered category? Что значит, что порядок значений важен или не важен?",1,bronze,1,Tue Apr 07 2015 19:29:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13267,/competitions/competition-2-yandex-shad-mipt-fivt-ml-spring-2015,41st
/benhamner,"On workdays, most bikes are rented during warm commutes","The Washington DC data shows that (on workdays), people rent the most bikes both when the temperature is warm and it's around 9am in the morning or 6pm in the evening. This presumably falls around their morning and evening commutes. What insights can you find in this data? [Link]:https://www.kaggle.com/users/993/ben-hamner/bike-sharing-demand/bike-rentals-by-time-and-temperature",3,bronze,1,Tue Apr 07 2015 20:45:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13269,/competitions/bike-sharing-demand,2167th
/bvigneshram,2015 Tourney result Data,Is is possible to get the 2015 63 games result data that was used for scoring?,0,None,4,Tue Apr 07 2015 20:59:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13270,/competitions/march-machine-learning-mania-2015,140th
/cronopio,Best Unsupervised Score,"Hi all. It looks like I hit on a plateau at 0.0084, my model is completely unsupervised, it does not look at the target value at all, so I was wondering if this is the limit of unsupervised models. Anybody else doing just unsupervised, how far did you get?",2,bronze,3,Tue Apr 07 2015 21:42:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13271,/competitions/how-much-did-it-rain,66th
/jmerefield,Problems with R + Caret + GBM?,I have had some issues with running the GBM model through the otherwise fantastic Caret package; issues are around various errors (out-of-bound errors galore) and memory leaking. After trying a bunch of hints from the internet I ended up writing a basic training script myself that negates the need for Caret (although I'm sure Caret does it far better!). If anyone is interested I can pop the shell of my script onto GitHub. This script appears to have sorted out the out-of-bound errors I got with the Caret package. Whilst playing around with GBM itself though I still had horrible memory issues when trying multiple training runs (memory hitting 6GB after 5 rounds then crashing). I came across a Stack Overflow [Link]:http://stackoverflow.com/questions/19476457/r-gbm-function-ram-not-released-memory-leak?rq=1indicating there was indeed a known memory issue with the GBM package. I then found a well maintained version of the code here: [Link]:https://github.com/harrysouthworth/gbm FYI I am running Windows on my laptop so I had to also install RTools ( [Link]:http://cran.r-project.org/bin/windows/Rtools/). Make sure you get the right version; the DevTools package will make sure you've got the correct one. This version fixed my memory leak; I now only hit ~ 600MB. Hope this helps anyone else out there getting similar issues.,9,silver,7,Wed Apr 08 2015 04:14:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13273,/competitions/otto-group-product-classification-challenge,1770th
/nadaanandam,Silly Question,"Hello all, I just recently entered this competition and am completely new to anything data science. I just tried to run the simple regression in R: PredCount <- lm(count~., data=train) ,where train is the training set. I merely did this to see what would happen (I don't expect it to provide fantastic results). However, the regression did not even finish in two or three minutes. Is that normal for the size of this data set, or did I do something incorrectly? I appreciate any guidance. I apologize for posting this if a similar topic has already been discussed. Thanks!",0,None,2,Wed Apr 08 2015 06:05:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13274,/competitions/bike-sharing-demand,None
/charlesroberson,ESPN Bracket Challenge Performances?,"Having never done this bracket thing before and deciding why not get more fun out of the effort, I entered the ESPN Bracket Challenge and filled out 10 brackets based on probable variations of my probabilities. I had one bracket finish in the top 1% putting me in the drawing and another bracket missing by 0.8%. I felt good about this. Then I see the news tonight: 6th grader takes first place in ESPN Bracket Challenge. http://www.wralsportsfan.com/12-year-old-ties-for-1st-in-espn-bracket-challenge/14566519/ Looks like he only missed on 6 games. Did anybody else participate in the ESPN event and how did you do?",1,bronze,2,Wed Apr 08 2015 06:17:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13275,/competitions/march-machine-learning-mania-2015,202nd
/nilotpal,Significant improvement in the winning score over last year,"Last year, the winning score was 0.529 by One shining MGF. This year I scored exactly 0.529 and I am not even in the top 200 :-). This year the winning score happens to be 0.438 I am curious to know what led to this significant improvement over least year. Are we understanding basketball better and/or are we betting better.",1,bronze,2,Wed Apr 08 2015 06:55:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13276,/competitions/march-machine-learning-mania-2015,227th
/ankitadhawale,Dealing with more values under single column,"Hello, I am facing problem while dealing with more than one value under the single column,can anyone suggest me how to deal with that,I tried to separate each value as a single row,but couldn't find effective way to deal with it. Thank you !",0,None,1,Wed Apr 08 2015 07:24:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13277,/competitions/how-much-did-it-rain,192nd
/mlsmith002,Guidance on Deep Learning implementation,"Good day, I would like some guidance on which platform will be most efficient to implement Deep Neural Nets in? I am aware of several packages in R and Python relating to these techniques, however, R does not seem to integrate GPU processing into these packages. I have been reading up on cuDNN which seems to be accessible through Matlab and Python, but have not found references to R. I am currently using R for other research and am hoping that I do not need to migrate to another language. I am rather new to this so please excuse incorrect jargon. Thanks in advance.",0,None,1,Wed Apr 08 2015 10:14:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13279,None,None
/pakozm,Zero counts product in test set,"Just a warning to other participants. I have found that test product id 116060: 116060,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 has zero counts in all the features. I'm curious to know how that is possible, or it is an error in this product feature extraction. In any case, be careful with your feature engineering to avoid NaN and/or INF values ;-)",4,bronze,3,Wed Apr 08 2015 12:35:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13280,/competitions/otto-group-product-classification-challenge,412th
/emiliocs,Some test files are corrupted,When I try to extract the files with 7zip a lot of files are not extracted because is corrupted.,0,None,1,Wed Apr 08 2015 16:25:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13283,/competitions/malware-classification,None
/wcukierski,Final Consistency Graphs - 2014 vs 2015,Ranks changes: Score changes:,6,silver,2,Wed Apr 08 2015 17:36:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13284,/competitions/march-machine-learning-mania-2015,None
/benhamner,Introducing Kaggle Scripts,"We've just released Kaggle Scripts, a new feature we've switched on for two competitions. It enables you to run R code directly on the digit-recognizer dataset without needing to download the data or even leave your browser. We’ve preloaded the environment with our [Link]:https://www.kaggle.com/users/993/ben-hamner/digit-recognizer/installed-r-packages#script-save-run. Check out some cool examples of scripts we've written: [Link]:https://www.kaggle.com/benhamner/random-forest-benchmark-2/code [Link]:https://www.kaggle.com/benhamner/bike-rentals-by-time-and-temperature [Link]:https://www.kaggle.com/dchudz/rf-proximity Kick the tires and let us know what you think! We look forward to seeing the scripts and visualizations you create. ps. we'll be releasing Python support soon",15,gold,15,Wed Apr 08 2015 20:06:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13285,None,None
/erengolge,Any one getting good results with a linear classifier?,"From my experiments I observed that linear models (LR, Linear SVM, Perceptron) are unable to retort against the others. Is there anyone observing the contrary?",0,None,11,Wed Apr 08 2015 22:01:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13287,/competitions/otto-group-product-classification-challenge,460th
/justmarkham,New machine learning video tutorials for beginners,"Hi everyone, I just launched a new weekly video series in partnership with Kaggle: Introduction to machine learning with scikit-learn. This series is specifically designed for beginners, and presumes no knowledge of machine learning. You will need to have at least a bit of Python experience (since scikit-learn is a Python library), though there are lots of great resources for learning Python. You can read the [Link]:http://blog.kaggle.com/2015/04/08/new-video-series-introduction-to-machine-learning-with-scikit-learn/ on Kaggle's blog, including an outline of the series and an explanation of why I chose scikit-learn. Or, you can skip right to the first video: [Link]:https://www.youtube.com/watch?v=elojMnjn4kk&index=1&list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A I believe that it's just as important to understand the ""why"" of machine learning as it is to understand the ""how"", which is why the first few videos don't focus on code. There's little benefit to copying down a bunch of scikit-learn code unless you actually understand how to do machine learning properly! New videos will be released every Wednesday, and will be posted on Kaggle's blog. Or, you can [Link]:https://www.youtube.com/user/dataschool?sub_confirmation=1 to be notified. Every video will also have an associated IPython notebook that will be posted on [Link]:https://github.com/justmarkham/scikit-learn-videos. I welcome your comments, questions, and suggestions! Happy learning, Kevin",8,bronze,4,Thu Apr 09 2015 00:50:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13288,/competitions/titanic,None
/trevorkirkby,What qualifies as a word that can removed from the test file?,"When splitting up information in either text files into words, I notice that my code, which is using python's str().split() function for each line, classifies punctuation marks, specifically commas, semicolons, and quotation marks, as individual words. When test_v2.txt was generated, were punctuation marks like this considered viable words to remove?",0,None,2,Thu Apr 09 2015 04:45:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13289,/competitions/billion-word-imputation,None
/asimkievich,randomness in gbc,"hi there, I noticed that there is some randomness (non deterministic?) in gbc, at least in the xgboost implementation. In my case, my best pure submission (not an ensemble of more than one model, although I believe that gbc is in itself an ensemble method) appears to be an outlier. whenever I run the model with the same parameters, I get worse results. Anyone experiencing that? any fix other than running the same model with the same parameters multiple times and hoping to get lucky? thanks!",0,None,2,Thu Apr 09 2015 05:39:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13290,/competitions/otto-group-product-classification-challenge,87th
/auroraxie,Auroraxie's report and code,"Thanks Kaggle for holding this competition! Congratulations to all the winners, and thanks all the players! It's a great fun to participate this competition with all of you. Here is the link for my report and code: https://github.com/auroraxie/Kaggle-NDSB",6,silver,3,Thu Apr 09 2015 10:14:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13293,/competitions/datasciencebowl,6th
/parthibangowthaman,Kagglers are known for their new ideas- Do you have an idea ?,Are you the crazy ones?Do you think different?Do you think your idea can solve business problems?Come to Quantium present your ideas.For more information: http://www.quantium.co.in/quantium-start-up-event-2015.html We believe Kagglers can make huge impact :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/70104/2316/11136689_872874176098993_3563282166803481153_n.png,0,None,2,Thu Apr 09 2015 12:00:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13294,/competitions/malware-classification,None
/elmehdi,Looking for a teammate,"Im medhi, i m in master degree machine learning, i'm looking for a teammate to work with each other on this competition. email: zinounemed@hotmail.com thankx",-2,None,1,Thu Apr 09 2015 16:10:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13296,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/droussea,Challenge follow up  : creation of HEP-data-science@googlegroups.com,"A mailing list HEP-data-science@googlegroups.com has just been created to deal with anything concerning both High Energy Physics and Data Science, in particular Machine Learning. Announcement/discussion about workshops, challenges (like this one), papers, tools, etc... Open to all, subscription by sending a mail to HEP-data-science+subscribe@googlegroups.com .",1,bronze,3,Thu Apr 09 2015 16:14:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13297,/competitions/higgs-boson,None
/espanarey,Predicting Strawberry Pop-Tarts,"Some time ago I read the story about how Walmart predicted increase in Pop Tarts sales ahead of hurricanes. I believe this is a quite popular “big data” business case but is worth to share it for those in this competition. In the book, Big Data: A Revolution That Will Transform How We Live, Work, and Think, “Viktor Mayer-Schönberger and Kenneth Cukier set out a host of examples. My favorite involves the giant retailer Walmart and the notorious breakfast snack Pop-Tarts. Walmart records every purchase by every customer for future analysis. Company analysts noticed that when the National Weather Service warned of a hurricane, Walmart stores in the affected area would see a surge in sales of Pop-Tarts. So store managers were told to put their Pop-Tarts near the entrance during hurricane season, and sales soared.” More info: [Link]:http://www.nytimes.com/2004/11/14/business/yourmoney/14wal.html?pagewanted=1&_r=0 [Link]:http://www.bostonglobe.com/arts/books/2013/03/05/book-review-big-data-viktor-mayer-schonberger-and-kenneth-cukier/T6YC7rNqXHgWowaE1oD8vO/story.html Good luck and see who can predict which item id is the strawberry Pop Tarts.",6,silver,4,Thu Apr 09 2015 20:02:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13299,/competitions/walmart-recruiting-sales-in-stormy-weather,198th
/jross225,New Benchmark in R,"This should score in the mid 1,700,000 s on the LB. There is lots of room to improve it. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/70150/2319/Beat_The_Benchmark.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/70150/2320/Beat_The_Benchmark.R",40,gold,38,Thu Apr 09 2015 22:18:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13300,/competitions/restaurant-revenue-prediction,1427th
/cavaunpeu,How far could you get with just one model?,"We all know that blending predictions from multiples models will get us far. This said, for the edification of myself and Kaggle newcomers, insofar as this is a relatively vanilla classification task: how high could you climb on the leaderboard using just a single model?",2,bronze,67,Fri Apr 10 2015 03:15:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13302,/competitions/otto-group-product-classification-challenge,447th
/razorwind,How can I use on SAS EM for this competition?,"Hi all, I know most Kagglers will stick to R and Python for their submissions because it is open source and there are tons of packages to leverage upon or to build customized models/algos. It is also sometimes a criteria for winning submissions. I am a new starter in Kaggle, and this is my first try using SAS EM that my school has provided. So far I have not got too far even with ensemble, large decision trees and neural networks. I have beaten the rf benchmark at least, but 0.4 seems so far away. Any tips from fellow SAS EM users on how to approach this? =) *Edited the title as it seemed misleading.",0,None,2,Fri Apr 10 2015 08:54:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13303,/competitions/otto-group-product-classification-challenge,1513th
/sahmad98,looking for a team,"Hi, I am new to kaggle. I am looking for a team to work with. Anyone interested?",2,None,26,Fri Apr 10 2015 09:04:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13304,/competitions/digit-recognizer,None
/kamrajsubramanian,Can i use R  ???,"Hello everyone, Can i use R ????? to make the predictions ???",0,None,5,Fri Apr 10 2015 09:52:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13306,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/avishek,xgboost crashing python kernel for linear booster??,"Hi guys, as some of you might be using xgboost, did anybody find xgboost crashing python kernel when running linear booster? any workaround found? @Tianqi - some suggestions would be great!!",0,None,3,Fri Apr 10 2015 13:28:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13308,/competitions/otto-group-product-classification-challenge,248th
/lianguage,Confusion about submissions,"Hi Guys I'm a little confused in regards to the submission process. Do we just submit a CSV with our categorisation of the test data? We don't need to submit any code that computes our model? Or does this come after the competition is ended. If we just submit a CSV, does this mean that when the other 70% of the test data is released, whatever simulation we used on the test data will need to be run again?? Thanks!",0,None,2,Fri Apr 10 2015 14:38:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13309,/competitions/malware-classification,None
/husseinnegm,Submission format --- Classes values,I am a bit confused about the submission form. Do we submit probabilities or classes In other words a sample row should have 1 for a class and zeros for all the others or probabilities of each class (with a total 1/row),1,None,4,Fri Apr 10 2015 16:09:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13310,/competitions/otto-group-product-classification-challenge,1585th
/codingpanda,Models,Are we required to use Logistic Regression? Can we use other models?,0,None,1,Fri Apr 10 2015 19:20:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13311,/competitions/2015-rose-hulman-undergraduate-math-conference-hackathon,3rd
/dansbecker,I'm liking Seaborn,"For python users: I've been plotting with the pandas plotting functions for a while (and previously with matplotlib). But I recently tried out seaborn, and I think it's really nice. In case it inspires others to discover this nice plotting library, I put up a [Link]:https://www.kaggle.com/users/9028/danb/forest-cover-type-prediction/plotting-with-seaborn-adios-matplotlib. Something like this would have been quite a headache in matplotlib... and I think it looks nicer than what I've seen in bokeh or in pandas plotting. What libraries are others using for plotting in python these days?",1,None,1,Sat Apr 11 2015 01:22:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13315,/competitions/forest-cover-type-prediction,None
/miltonbose,Submission error,"Can anyone help me with this error? Thanks, Milton [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/71261/2321/Screen Shot 2015-04-10 at 6.46.29 PM.png",0,None,3,Sat Apr 11 2015 03:48:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13316,/competitions/otto-group-product-classification-challenge,1575th
/asimkievich,pip install,"hi there, this might be an issue for stack overflow rather than the forum, but I could never quite get 'pip install' running on python. Anyone would mind to provide a tip? I tried both from pypy and from the python console on pycharm (windows) and this is why I get. Thanks! FROM IDE (Pycharm) pip install Lasagne File ""<ipython-input-2-06f864339333>"", line 1 pip install Lasagne ^SyntaxError: invalid syntax FROM PYPY pip install Lasagne File ""<stdin>"", line 1 pip install Lasagne ^ SyntaxError: invalid syntax",0,None,3,Sat Apr 11 2015 04:20:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13317,/competitions/otto-group-product-classification-challenge,87th
/asimkievich,installing Lasagne,"hi there, it appears that I exhausted xgboost and need to move on to nns to create a decent ensemble. Trying to install Lasagne (Windows, would like to use it from my Python IDE). Already downloaded Theanos source, as well as Lasagne source. I run setup.py fromt he console and this is what I get. Help is much appreciated! Thanks. C:\Users\.......\Anaconda\python.exe C:/Users/............/Desktop/Lasagne-master/setup.pyC:\Users\........\Anaconda\lib\site-packages\setuptools-14.3-py2.7.egg\setuptools\dist.py:282: UserWarning: Normalizing '0.1dev' to '0.1.dev0'usage: setup.py [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...] or: setup.py --help [cmd1 cmd2 ...] or: setup.py --help-commands or: setup.py cmd --help error: no commands supplied Process finished with exit code 1",0,None,3,Sat Apr 11 2015 04:24:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13318,/competitions/otto-group-product-classification-challenge,87th
/andrewcole,Outliers?,"Hello all. I was wondering if the outliers in the training data are a mistake (two of them out of millions of data points)? They are quite extreme, about an order of magnitude above anything else in terms of units sold. I'm sure someone else has noticed. I was able to place the date of one of them close to a major weather event so maybe that explains it (bottled water?) Anyway, I'm not sure how such a thing could possibly be predicted if it isn't a mistake. These seem like one-off events. Because they don't tell us where the stores are, or what the items are, I can't speculate any further. Perhaps they are the famed strawberry poptarts of legend and yore.",3,bronze,2,Sat Apr 11 2015 05:06:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13319,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/del=14c246ce09328654,What do the numbers that populate the feature cells actually mean?,"Hi, I have searched on the forum but haven't been able to find it. Please apologize if this have been asked and answered already. Do you know what the numbers that populate the feature cells actually mean? For example, product_id = 6 in feature_5 has a value = 7. What does 7 mean in this case?",-1,None,7,Sat Apr 11 2015 11:27:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13320,/competitions/otto-group-product-classification-challenge,450th
/rsteger,Clarification on Objective,"""For the purposes of this competition, we have defined a weather event as any day in which more than an inch of rain or two inches of snow was observed. You are asked to predict the units sold for a window of ±3 days surrounding each storm."" Define an ""event"" as: snowfall > 2 OR preciptotal >1 So ±3 days for an event on e.g. the 7th would be for the 4th thru the 10th (7 days total). Correct? But there can be consecutive days, or even days with breaks, so the window widens accordingly? E.g.: suppose events fall on the 7th and 9th, so the window now expands to the 4th thru the 12th, correct? Or are these two separate ""storms,"" each having its own ±3 day window? Thanks",2,bronze,3,Sat Apr 11 2015 18:48:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13322,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/asimkievich,can you run lasagne without an nvidia gpu card?,"Hi there. I sucessfully installed lasagne, but cannot run it. My assumption is that the theano installation is not complete, which I assume you need. I try to install theano, and I see that you need to install cuda first. So I download cuda 5.5 and the installation fails. I assume this hapens because I do not have the necessary hardware, an nvidia gpu card. Is there anything flawed in my reasoning, or can you run theano without using a gpu card, ie, using the cpu, even if it is inneficient? Would really appreciate help.",1,bronze,16,Sat Apr 11 2015 20:36:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13324,/competitions/otto-group-product-classification-challenge,87th
/farhankhwaja,"New to Kaggle, How should I got about it","Hi Guys, I am new to Kaggle and I started doing a submission for Digit Recogniser. First submission got a score of 0.98592. I want some guidance from some senior Kagglers, on how to develop/build my skills. I am aware of different ML algorithms. Some guidance from senior members would be helpful.",0,None,4,Sat Apr 11 2015 21:54:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13325,None,None
/giacomorosaspina,How to enter in the Data Science world?,"I'm 24 and I took my master's degree in Economics and Finance about 20 days ago. In these days which I have time to reflect on my future and on what I want to do, I understood that the data manipulation could be a field that can interest me. I mean to find a job in a firm to help it to manage the data stream, build forecasting models etc. This because following strictly my study route in economics I should find a job in the asset allocation sector or in the risk management one, but I don't like very much this route. During my university carrer I obtained some skills in econometric or in statistics (in the development of my final dissertation I had to learn to programming with R and C) but surely my preparation for work with data is not at the same level of a statistics or engineering graduate. What I might do to cover this lack and become palatable for this role in the job market? I thought to a master (a one year course) in data science..but maybe begin immediately to search an entry level job as data analyst (even a not payed stage, of course) would be more profitable, given that I don't start really from scratch...in this way I would use the next years both as training and practice, to enter in the field.Moreover I downloaded some accademic papers which explain how to develop econometric analysis with R and I've seen that there's a Coursera course that is based on data science. These would be self-taught activities but can be useful. What do you recommend me for undertake this route? Thanks to all",0,None,2,Sat Apr 11 2015 23:34:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13326,None,None
/asimkievich,my adventures with lasagne - hope it helps,"hi everyone, Hope that my (rather frustrating) experience with Lasagne will be of help to other kagglers who want to venture in lasagne land. First, let me tell you that I solved and did not solve the problem. I have two laptops, both windows 8.1 64 bit. On one laptop, I can not yet run lasagne, but on the other one it works fine. I capitulated and will use the laptop on which lasagne works fine. On that laptop, the path was extremely simple. From the Anaconda command prompt, first install theano pip install theano that was all folks. Then download lasagne from https://github.com/Lasagne/Lasagne unzip to your relevant directory (in my case, using anaconda, I unzipped to anaconda\Lib\Site-packages then on the anaconda command prompt, go to the lasagna directory where file setup.py is and run python setup.py install voila, lasagne works. On one laptop. On the other one, following the same steps, I could not install lasagne if my life depended on it. Hope it helps.",10,gold,3,Sun Apr 12 2015 00:37:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13328,/competitions/otto-group-product-classification-challenge,87th
/venkatesht,Need help in boosting my model,"In classification I would like to use boosting techniques to improve my score. since the otto product classification had many classes I used adabag boosting technique. I trained my ""train"" data using adabag boosting function.For eg. model <- boosting ( target ~ . , data = train , mfinal = 10)This works fine.But when tried to predict the probabilities using adabag predict function, answer <- predict ( model , newdata = test ) I got an error, "" Error in [.data.frame (newdata, , as.character(object$ formula[[2]])) undefined columns selected"", where I understood that it cant be used for predicting probabalities for new test data. So, my question is how to use (or) combine this boosting technique with other models(say, RandomForest) to increase classification/prediction accuracy and to benefit from this boosting technique. Any help would be much appreciated. Thank you.",0,None,5,Sun Apr 12 2015 14:47:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13331,/competitions/otto-group-product-classification-challenge,1189th
/spaceman,Getting Permission to submit my results...,I just wanted to know if I am the only one having issues getting permission to submit my results for this competition? I have sent my mobile phone number and waited. Initially I did that about 1 1/2 weeks ago. I tried again yesterday -- more than 24 hours has passed .... I sent my concerns to the Kaggle support ..... I am now really concern about this since today a submission has to be made before the end of day today 13th of April UTC time ---which I believe is 8:00 pm EST (New York side of the USA) Anyone can help me get moving with submission of my first results for the competition before the time is up?,-1,None,14,Mon Apr 13 2015 07:19:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13335,/competitions/malware-classification,293rd
/nishio,Are train.csv selected randomly from the population?,"I'll show you 2 benchmarks. All of them are from scikit-learn, default settings, StratifiedKFold cross-validation(CV).LogisticRegression:score of CV 0.76+-0.01 score on leader-board: 0.66674RandomForestClassifier:score of CV 0.78+-0.01 score on leader-board: 3.99786 The scores of CV represent the ratio that classified correctly. RandomForestClassifier is slightly better than LogisticRegression in CV scores. However score on leader-board drops a lot.I wonder it shows the training data is not same distribution with the test data and then RandomForestClassifier overfits to the train data. Do you have any ideas?",0,None,4,Mon Apr 13 2015 09:03:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13337,/competitions/otto-group-product-classification-challenge,836th
/triskelion,"Competing in ""15.071x the analytics edge""","Hi, I want to compete in the Analytics edge competition at http://www.kaggle.com/c/15-071x-the-analytics-edge-competition-spring-2015 I enrolled for the course at https://www.edx.org/course/analytics-edge-mitx-15-071x and entered my Kaggle ID at ""Competition Registration (REQUIRED BY APRIL 13)."" Now I still can not download the data or accept the rules for this competition. Do I need to do something else? Or simply wait?",1,bronze,16,Mon Apr 13 2015 18:15:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13341,None,None
/arthurb,Is the supplemental data real data?,"Kaggle has supplemented the test data with a lot of data points. Are the value for these completely made up, or do they correspond to real-world values of P1-P37?",0,None,9,Mon Apr 13 2015 20:49:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13343,/competitions/restaurant-revenue-prediction,2186th
/julianhi,Improve results with GBM in H2O,Hey I just created a submission with the demo code from h2o: [Link]:https://github.com/h2oai/h2o-dev/blob/master/h2o-r/demos/kaggle/otto/beating_the_benchmark.R I scored 0.50139. But how can I now go on? How can I improve the result and what would be the next steps? Should I add features? Looking forward to your answers. Regards,0,None,1,Mon Apr 13 2015 22:49:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13344,/competitions/otto-group-product-classification-challenge,1381st
/lad215562,Is unsupervised pre-training on unlabeled (i.e. test data) permitted?,"After reading the rules and searching the forums for any occurrence of ""supervise"" or ""unlabeled,"" the only statement I could come up with related to the titular question was in the [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/rules: ""Semi-supervised learning is permitted."" Just to make the matter explicitly clear so we all know the bounds in which we are operating, is it permissible to pre-train in an unsupervised fashion on the unlabeled data the test set represents? If I missed the already existing answer somewhere and any fellow Kaggler can point me to it, or if I can get an answer direct from competition management, I'd greatly appreciate it! Thanks so much, and sorry to be a pest! Just trying to avoid a lot of wasted effort if such actions would be frowned upon :)",4,bronze,15,Tue Apr 14 2015 01:09:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13345,/competitions/diabetic-retinopathy-detection,None
/billseliger,Test set submissions - be careful of overfitting,I can't tell if Kaggle will be giving us the results for our entire test set or just a portion of the test set when we make a submission (I believe it's the latter but I haven't made a submission yet and I don't see it mentioned). In last year's competition Kaggle provided results on only a portion of the test set until the competition was over - at that time there was a substantial change in the leaderboard. So be careful of overfitting the test set and be aware that the final leaderboard will likely change. Good luck - this looks like it will be a fun competition!,4,bronze,18,Tue Apr 14 2015 03:43:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13346,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2382nd
/victorfranzonatto,Evaluation Rules,"Hi, This is my first kaggle competition, only to be clear: In Rules page, there is the topic: ""You may use any techniques that you have learned in this class, either in the homework problems, lectures, or recitations. You may also use techniques that you have learned outside of class. However, you can still get a great final grade in the competition by only using techniques taught in 15.071x"" That means that other techniques not taught in the lectures, but yet mentioned on its notes, can be used?",0,None,2,Tue Apr 14 2015 04:51:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13347,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2454th
/shola334056,I'm New on Here,"Hi People, How do I get the Kaggle numeric id? Thank you.",0,None,7,Tue Apr 14 2015 05:13:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13348,/competitions/diabetic-retinopathy-detection,None
/jspinspin,Submission error,Please help me. I have my data in .csv but once it gets to line 10000+ this error message appears. It first appeared when I was using scientific notation (10E+5) but I have fixed this error and now it still occurs. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/71440/2322/submission_error.png,0,None,4,Tue Apr 14 2015 06:00:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13350,/competitions/otto-group-product-classification-challenge,3249th
/akshaykher,Submission needs to verify our number,"Hi, Kaggle said that it will take a minimum 1 day to give me a verification code (country = India). I am guessing without that I can not submit my model to kaggle. Why is this? Is there any way that I can submit my work before it? Thanks and Regards, Akshay Kher",0,None,9,Tue Apr 14 2015 07:12:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13352,/competitions/15-071x-the-analytics-edge-competition-spring-2015,351st
/pike4328012,Competition Rules: why are we not allowed to use external data to build and test our models?,"Here is the rule: You must not use data other than the Data provided on this site to develop and test your models and Submissions. We (the instructors of 15.071x) reserve the right to disqualify any Participant who uses outside data to make submissions in the course of the Competition. This is my first Kaggle competition, so maybe this is standard to all competitions, but I don't really understand why this rule exists. Why is it bad to try to find other data to test your model on? Thanks to anyone who can explain!",0,None,1,Tue Apr 14 2015 08:04:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13353,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2664th
/elvism,Cant Classify the images of the Class 1,"Hello The Models that I tried, had always very low 1 Classification... almost none of the ~52000 images... Anyone got a hint for that problem?",0,None,6,Tue Apr 14 2015 09:25:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13354,/competitions/diabetic-retinopathy-detection,60th
/kannansreedhar,Converting date to weekday,"When I use the strptime command and then create the weekday variable as suggested in the GETTING STARTED page, the Weekday variable is empty (null). Can someone tell me what is going on?",0,None,5,Tue Apr 14 2015 12:44:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13357,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/se7en1,Including the PubDate into the model. ,I can't convert my dates accordingly and i am stuck. I am using: as.POSIXct,0,None,4,Tue Apr 14 2015 13:36:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13359,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2431st
/dbennett,Storm missing from test,"Hi, I noticed that Station 8, 2/Apr/2013 has a preciptotal of 1.36, but it's corresponding store, 39, doesn't show up in test.csv on that date. I understand that we only need to predict for those in test.csv, but I think it's a bit strange that test doesn't seem to have been generated correctly. Any thoughts?",0,None,1,Tue Apr 14 2015 14:53:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13360,/competitions/walmart-recruiting-sales-in-stormy-weather,178th
/jaimini99,Different terms in Sparse for Train and Test sets,I am creating a testing and training set on Popular variable using corpus. But some of the rows or the terms that I get in the end are different in both the sets and I think thats why I am not able to use the predict function. I treid adding the missing terms from test with testSparse$term=0 and then pred function gives this error Error in yhat[keep] <- ans$ypred : NAs are not allowed in subscripted assignments I was using RF method. Please help me with how I should proceed.,0,None,2,Tue Apr 14 2015 16:09:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13361,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2288th
/promentis,"Question for Abhishek, Triskelion and some others","You've obviously participated in several Kaggle competitions and judging by your comments elsewhere are pretty well versed in many analytical techniques. So why exactly are you enrolled in the course, and what do you hope to get out of the competition? Just curious as to your motivation.",4,bronze,50,Tue Apr 14 2015 16:13:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13362,/competitions/15-071x-the-analytics-edge-competition-spring-2015,95th
/paulgowder,Rules clarification?,"The rules say ""no outside data,"" but does sort of personal qualitative investigation count as outside data? I kind of want to browse through the current NYT and see if I can get an intuitive feel for the kinds of posts that generate lots of comments. Would that be off-limits? (Though that might be overkill...)",0,None,2,Tue Apr 14 2015 16:33:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13363,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1009th
/emiliocs,This competition is closed to new entrants,"I subscribed few weeks ago in this challenge, and work very hard to create a code that have 99.9% of efficiency (cross-validation), but today when I try to upload my csv he site give me the message that I'm not subscribed and the competition is closed for new entrants. What can I do ?",0,None,2,Tue Apr 14 2015 16:35:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13364,/competitions/malware-classification,None
/kannansreedhar,Impossible time with submissions,"I have been trying to submit to Kaggle for over 2 hours and it is still waiting to submit. I do not have an internet issue as I am able to download videos and send emails, etc. Why does it take so long. I have already canceled twice. Any suggestions?",0,None,7,Tue Apr 14 2015 16:52:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13365,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/dgtg332754,Corpus on text analytics,"We were given the code to perform the corpus on the headline and told we could do corpus on other variables. If we were to do other variables, should we keep it separate from each other. In other words, do we consolidate all the corpus in one data file or treat it as an independent exercise from each other.",2,bronze,37,Tue Apr 14 2015 17:24:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13366,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/dgtg332754,Corpus on text analytics,"We were given the code to perform the corpus on the headline and told we could do corpus on other variables. If we were to do other variables, should we keep it separate from each other. In other words, do we consolidate all the corpus in one data file or treat it as an independent exercise from each other.",0,None,2,Tue Apr 14 2015 17:30:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13367,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/all16universes,How to combine models in Python?,"I'm a Python newbie, and I'm struggling to figure out how to combine models. The idea seems straight forward, but I cannot figure out how to implement it in Python. I've attempted using the 'warm_start=True' parameter in a RandomForestClassifier, but I get this error: ""__init__() got an unexpected keyword argument 'warm_start' "" When I print out the list of parameters for the RandomForestClassifier, 'warm_start' doesn't even show up, but the documentation says it should be there. Can anyone provide a resource or simple step-by-step example code of how one would combine various models? As an example, suppose I have three random forest models, say rf1,rf2, rf3, and I want to combine these. How could I go about doing this? Again, I understand the theory, I'm just not sure how to implement it in Python. Any help is much appreciated.",2,bronze,26,Tue Apr 14 2015 17:38:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13370,/competitions/otto-group-product-classification-challenge,285th
/aamanlamba,Bag of Words on multiple variables,"How does one do a Bag of Words model on more than a single variable, for example on both SectionName and SubSectionName?",0,None,24,Tue Apr 14 2015 21:21:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13382,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1089th
/crowggle,Are Sunday articles more popular?,"Folks - Am playing around with the data and wanted to know what you found about the weekday...Do you see Sunday being the more popular day for publishing and Friday as the least? Secondly, the class of the variable we got from the weekday conversion is an integer (in the provided script file)...am thinking to convert it to a factor and probably rename to reflect sun, mon, etc...What are your thoughts? Thanks & happy learning! crowggle aka edxer2014",2,bronze,13,Tue Apr 14 2015 21:45:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13384,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2072nd
/aamanlamba,Increasing number of submissions per day,Is there a specific rationale for limiting us to only 5 submissions per day? I would like to try out multiple models but am somewhat frustrated by this limitation. Can this please be increased?,0,None,8,Tue Apr 14 2015 22:09:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13385,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1089th
/promentis,Productivity Tips,"If you're new to Analytics, and/or to Kaggle, here are some tips that will save you time in the next few weeks. Take some time to examine the data. Use 'str', 'summary', 'head', tail' to understand what's in the data set. Maybe run a few 'table' commands, histograms etc. Once you're comfortable with the data, think about which variables you possibly want to use in your analysis. You're starting out with a few that are given, but as the guidance on the edX site suggests you may want to add some more (e.g. day of week). You will probably also want to do the text breakdowns as shown in the examples from the instructors. You'll also want to think about which of your variables should be factored. After you've defined your target data frame, write scripts to create both training and test data frames, and save those locally. Then all you'll have to do is read in those modified data frames to conduct your future analyses. Also make sure to save the data prep scripts in case you need to re-create your analysis data sets. If you want to go back and change some of the variables, you'll have both the original data and the scripts used to create the data for analysis, and it will be trivial to create new data frames. Create scripts for each analysis you run/submit--you can bunch together similar analysis scripts in one script file. After you create a submission file and you have the AUC computed by Kaggle, add that score to your script file in a comment. Believe me, with ~100 submissions you'll lose track of what you did to get which score. Hope this helps! Other people feel free to add tips to this thread.",11,silver,21,Tue Apr 14 2015 23:16:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13386,/competitions/15-071x-the-analytics-edge-competition-spring-2015,95th
/manueldiaz,Distribution of cv error,"This is the distribution of my 20,000 cv error. How can explain the peaks ? are artifacts ? How can i evaluate the distribution of cv errors, know any book? This are for svm but other models are similar. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/71615/2329/PLOT.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/71615/2330/PLOT.png",0,None,3,Tue Apr 14 2015 23:21:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13388,/competitions/restaurant-revenue-prediction,6th
/aamanlamba,CART error,"I get the following error whenever I try to run predict on a sample Test set: Error in UseMethod(""predict"") : no applicable method for 'predict' applied to an object of class ""c('matrix', 'double', 'numeric')"" The code fragment that causes this is: predTestCART = predict(predictCART,newData=sampleTest,type=""class"") predictCART was built normally using predict with the training data and method=""class"" Please advise why this is happening. If this is because some of the columns are numeric, I've tried removing the numeric columns from the data set",0,None,1,Tue Apr 14 2015 23:48:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13389,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1089th
/tayshin,TimeToEnd variable,"Hi all, I'm having trouble understanding TimeToEnd variable. The description of that variable didn't gave me clear explanation. I understood that there could be multiple rador but why each different rador has each different time? For example, if TimeToEnd variable contains following numbers '56 54 44', what does it mean? can anyone please elaborate ? Thanks :D",0,None,3,Wed Apr 15 2015 07:00:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13391,/competitions/how-much-did-it-rain,46th
/vasudev,Move further,I've submitted a file with 58% auc. I'm trying various methods taught in the course. But the test set doesn't have the dependent variable. I'm stuck here. Can anyone help me on how to go ahead from here. New to kaggle/R. Please spare a few mins.,0,None,8,Wed Apr 15 2015 07:12:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13392,/competitions/15-071x-the-analytics-edge-competition-spring-2015,756th
/akshaykher,model auc = 0.9525197 but rank=81 :(,"Please Refer to the image. It has 4 lines of R code. I am getting an auc of 0.9525197 and I get a kaggle score of 0.85. I think it is due to the error that is coming up. What exactly am I doing wrong,is overfitting the problem? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/71663/2334/Capture.PNG",0,None,11,Wed Apr 15 2015 08:27:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13398,/competitions/15-071x-the-analytics-edge-competition-spring-2015,351st
/asbebe,Can i ask the meaning of column?,"If it is ok to ask, what do 'cooling' and 'heating' mean?",0,None,2,Wed Apr 15 2015 10:15:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13399,/competitions/walmart-recruiting-sales-in-stormy-weather,195th
/hdr324395,R and feature selection,I would be glad about an overview of the most precise methods for feature selection thanks,0,None,3,Wed Apr 15 2015 10:50:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13400,/competitions/restaurant-revenue-prediction,1187th
/bansalanshul,Handling outliers,Around 20% of the revenue values have distance more than 1 SD. These indexes have a significant contribution in error. In general creating a flag for such values helps.What can be done to improve results in this situation?,1,None,38,Wed Apr 15 2015 11:42:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13402,/competitions/restaurant-revenue-prediction,427th
/kannansreedhar,Newbie Question,Do we solve one problem every week on Kaggle for the next 3 weeks or are there multiple problems each week that I am not aware of?,0,None,1,Wed Apr 15 2015 13:03:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13403,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/ankurshri,CART model always predicts 0 or Unpopular,"I am trying to generate a CART model using the same headline words which are used for sample Logistic regression model (given in sample script) but the CART model always ends up predicting 0 or ""unpopular"" for all the cases. Has anyone else encountered this issue now or previously? What could be the reasons for this? Thanks, Ankur",0,None,12,Wed Apr 15 2015 16:54:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13407,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1011th
/vanjadavor,Rapid Miner school project,"Dear friends, We've got this assignment as a university project, and we have some questions for all of you that work in Rapid Miner if you're willing to help. At first, could you tell us what would be the best point to start? Actually, which algorithm could be good for beginning? Also, we're confused about using logloss evaluation method for which we cannot find suitable replacement. We are not coders, we just use basic RapidMiner functionalities. Thank you very much!",3,None,6,Wed Apr 15 2015 17:15:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13408,/competitions/otto-group-product-classification-challenge,2916th
/geethaj,Error in prediction function,"Hi I get the following error using the prediction function. RFTrainSetpred = predict(RFTrainSet,newdata=TestSet) > pred=prediction(RFTrainSetpred,TestSet$Popular)Error in prediction(RFTrainSetpred, TestSet$Popular) : Format of predictions is invalid. Can someone help? Thanks Geetha",0,None,16,Wed Apr 15 2015 20:02:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13411,/competitions/15-071x-the-analytics-edge-competition-spring-2015,456th
/oconnoda,Weird CART model error,"I'm using rpart to create CART models on subsets of the data. One of my subsets does not have any popular blogs. When I call rpart using this subset I get this error: Error in cbind(yval2, yprob, nodeprob) : number of rows of matrices must match (see arg 2) Does anyone know how I can work around this?",0,None,10,Wed Apr 15 2015 22:10:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13412,/competitions/15-071x-the-analytics-edge-competition-spring-2015,71st
/oconnoda,glm error,"I am using glm to create models on subsets of the data. One of the independent variables in one of my subsets contains only instances of one level of a factor. When I run glm with the subset I get this error: Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels Does anyone have a work around for this?",0,None,7,Wed Apr 15 2015 22:16:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13413,/competitions/15-071x-the-analytics-edge-competition-spring-2015,71st
/dgtg332754,Cross Validation and cp,"Is the purpose of the cross validation technique to get the cp value? If so, can the cp value be used for rpart and randomForest? Sorry, for the stupid question.",0,None,8,Thu Apr 16 2015 00:03:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13414,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/dgtg332754,Type = prob,"If we do a classification model do we change the type = prob in order to submit the file. In other words, submitted files have to have probabilities and not class 0 or 1?",0,None,4,Thu Apr 16 2015 00:05:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13415,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/aamanlamba,"Bag of Words, followed by Random Forest model has low score","I developed a Bag of Words, followed by RandomForest modeling on all fields. The Bag of Words covered all the key text fields. I did a predict, I had to leave out the type=""prob"" parameter to get the predict process to run, as I was getting errors even after specifying Popular as a factor (Predict (Random Forest): prob or vote not meaningful for regression) Pseudo-code: # Create Random Forest model TextWordsRF = randomForest(Popular ~ ., data = WordsTrain)#Predict on Random ForestpredRF = predict(TextWordsRF,newdata = WordsTest) I was surprised to note the Kaggle score on this model was only 0.55, much lower than even the basic logistic regression. Any recommendations on how this could be increased/tuned, and more importantly, why is this model scoring low?",0,None,9,Thu Apr 16 2015 00:26:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13416,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1089th
/dgtg332754,MySubmission - Getting 2 probability columns1.0 and 1.1,"Why is this happening? I am using the exact code as provided. MySubmission = data.frame(UniqueID = NewsTest$UniqueID, Probability1 = PredTest)",0,None,1,Thu Apr 16 2015 01:49:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13419,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/kattaylor,Error in model.frame.default ?,"Hi everyone, I've run the cross -validation on my CART model, which previously did return a prediction. When I've re-run the model with the cp, I still get a model, which can predict on the training data, but when I try to predict on the test dataset, I'm getting the following error. > predCARTtest=predict(wordsCART,type=""class"",newdata=dtmWordsTest) Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = attr(object, : variable lengths differ (found for 'date')In addition: Warning message:'newdata' had 1870 rows but variables found have 6532 rows It suggest that 'newdata' has 1870 rows, but that variables found have 6532 rows. I have checked the str() for both my training and testing set, and have str(dtmWordsTest)'data.frame': 1870 obs. of 268 variables str(WordsDF)'data.frame': 6532 obs. of 269 variables (the same 268 + the outcome var) I'm lost as to where I'm going wrong. I've done the same procedures for both train and test set (i.e I have pre-processed them together as per the R-script, then I've added the remaining variables from the NewsTrain and NewsTest dataframes). Any ideas? n.b. this is my first encounter with R (or any machine learning programs for that matter, so the Help pages and Google seem like they're written in Swahili at the moment)",0,None,2,Thu Apr 16 2015 03:09:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13421,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1484th
/jialunhe,How far can you go with a single model,I can't break the barrier of 165 with a single model so far. I don't know if it is me not trying hard enough or something else. Hope you can share your experience.,0,None,20,Thu Apr 16 2015 04:18:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13422,/competitions/restaurant-revenue-prediction,588th
/nishio,"Cross-validation on train.csv got LogLoss=0.0 but submission got poor, how it is possible?","I have a model M1, which got LogLoss=0.53 on cross-validation and Score=0.55831 on submission.I trained RandomForest with 400 trees, added its estimation on the feature vectors and train LogisticRegression M2.M2 got (as I was surprised) LogLoss=0.0, but it got 0.63648 on submission. Very bad. I'm interested in how it is possible. All iteration of cross-validation success with LogLoss=0.0 but fail to estimate for submission?",0,None,3,Thu Apr 16 2015 06:41:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13423,/competitions/otto-group-product-classification-challenge,836th
/lalitkhandelwal,as.date conversion,I can't to convert the PubDate into date format. What function I should use?,0,None,11,Thu Apr 16 2015 06:44:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13424,/competitions/15-071x-the-analytics-edge-competition-spring-2015,876th
/akshaykher, Error : The tuning parameter grid should have columns mtry,">numfolds = trainControl(method=""cv"",number=10) >cpGrid = expand.grid(.cp=seq(0.01,0.5,0.01)) >train(Popular~.,data=train,method=""rf"",trcontrol=numfolds,tuneGrid=cpGrid) Error in train.default(x, y, weights = w, ...) : The tuning parameter grid should have columns mtry Why is the error cropping up? I have proceeded exactly like in lectures only that I have changed the method = ""rf"" from method=""rpart"" as I am using a random forest model.",1,None,5,Thu Apr 16 2015 07:29:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13425,/competitions/15-071x-the-analytics-edge-competition-spring-2015,351st
/lucabaroffio,Validation error vs. test error,"In the last try I got .928 accuracy on 10X cross validation, and Kaggle answers back with .668 score on the test set. Am I missing something? Are the two sets that different? Or maybe I am doing something wrong...",0,None,3,Thu Apr 16 2015 09:14:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13426,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1568th
/kannansreedhar,Random Forest Model,"In trying to use the Random Forest method, AFTER converting the dependent variable with the 'as.factor' function, I get the following error when trying to use the 'Headline' variable along with other non-text variables Error in randomForest.default(m, y, ...) : NA/NaN/Inf in foreign function call (arg 1)In addition: Warning message:In data.matrix(x) : NAs introduced by coercion What am I doing wrong? I am not the most sophisticated user of predictive analytics models. Thanks",0,None,3,Thu Apr 16 2015 13:25:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13427,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/nr7116,what knobs do we have for tuning,"I am at very basic stage and looking for advice. I submitted a LR as given in sample and got to .76. Then I changed it to cart with cp , randomForest and also combined more text, all of them were below my first score. ==================== I changed the logic to create corpus only on (Headline, Snippet, Abstract) and keep the other variables as is (including the weekday that sample had) and used .998 for sparity. now logit moves me to 0.84, but randomForest stops working altogether and cp makes no improvement over this. ============================ changing sparsity to .999 moved it back to .76 ======================= convert the NewsDesk, SectionName, SubsectionName to factors changing sparsity to .99 moved it up to .90 ============== I plan to play with text combining and sparse parameters. Any other advise would be appreciated. still a long way to go for me.",2,bronze,25,Thu Apr 16 2015 13:55:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13428,/competitions/15-071x-the-analytics-edge-competition-spring-2015,123rd
/biczozb,Rapidminer solutions,"Hi, newbiee here. Does anyone have success with Rapidminer so far? What approaches do u use? How? I am having serious performance issues.... You can help me worry free, as I am so far from solving this, as anyone could be:( :)",0,None,7,Thu Apr 16 2015 14:58:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13429,/competitions/otto-group-product-classification-challenge,2976th
/lalitkhandelwal,Missing values information not loading while loading the data,"I run read.csv function to load the data and after that I run summary() function. In the output of summary function, I do not find any missing value for NewsDesk , SectionName, SubsectionName, . Do i need to run any other command? Has anyone experienced similar problem? Thanks in advance",0,None,11,Thu Apr 16 2015 15:35:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13430,/competitions/15-071x-the-analytics-edge-competition-spring-2015,876th
/phkaggle,City names unicode,"I still have the same unicode error with the City names : UnicodeDecodeError: 'ascii' codec can't decode byte 0xc4 in position 5108: ordinal not in range(128) I use the utf-8 encoding for the csv reading but ... dfTrain = pd.read_csv(fileTrain, encoding = 'utf-8') Do you have any clue to handle that ? Thnaks in advance, Best regards",1,None,3,Thu Apr 16 2015 16:27:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13431,/competitions/restaurant-revenue-prediction,1091st
/derekzh,Feature Plots and Feature Engineering,"Hi Kagglers, It seems that a lot of the discussion is focusing on selecting the right algorithm and parameter tuning, with a few Kagglers mentioning including engineered features. As features are obfuscated in this case, going about generating new features sound like black magic to me. I tried to plot the data in different ways, and thought I'd share a straight imagesc plot of each class (100 training examples, blue color is zero values.). It reveals some pattern, such as Class_5 has a very pronounced feature_34, and Class_1, 2, 3 progressively have more non-zero values. But aside from this, would you guys share any insights on feature engineering for this data set? Or the rationale why it is not a fruitful exercise otherwise. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/71945/2335/Matrix Plot of 9 Classes.png",3,bronze,3,Thu Apr 16 2015 18:46:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13434,/competitions/otto-group-product-classification-challenge,160th
/anydatasoftware,Flow - HyperCube Workflow Engine - Need Testers,"Hi All, I have been working on a workflow data engine for the past three years. The engine is built on a binary serializable key-value data structure I developed myself and call generic data. The idea of generic data was to be able to act as a generic structure that any type of data, structured or unstructured could be pulled into. Flow provides an internal development environment around original generic expressions allowing analysis workflows to be created that, hopefully, delivers the design flexibility of python or R. The goal is to come out of left field as a completely original and highly disruptive enterprise analytical technology. We have released Flow in the past weeks and I am wondering if anyone would be interested in taking a look and providing feedback. You can check out Flow here https://flow-app.com A lot of blood, sweat and tears went into this project and any feedback would be greatly appreciated! If anyone is interested in contacting me off here please feel free to shoot me an email at andrew.mclaughlin@flow-app.com Thanks for your time Kaggle community!",0,None,6,Thu Apr 16 2015 19:13:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13437,None,None
/shailarego,"Please Help Getting Error ""missing values in object"" error in random forest","I am novice in R and Trees I am getting following error Error in na.fail.default(list(Popular = c(2L, 1L, 1L, 2L, 2L, 2L, 1L, : missing values in object I tried everything I could, but not able to figure this out. can anyone help?",0,None,21,Thu Apr 16 2015 19:25:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13438,/competitions/15-071x-the-analytics-edge-competition-spring-2015,115th
/distributedr0,Can Pregame and/or the First 10 min. NCAA Twitter Stream Sentiment be a Good Predictor of the NCAA Championship Winner?,"During 2015 March Madness, I was glad to see Kaggle opened the doors for using other data sources beyond given to derive new predictors of college basketball game outcomes. So I started wondering: can a team’s sentiment in Twitter streams be a good predictor of the winner? This curiosity motivated us to collect and analyze NCAA Twitter streams related to the championship game between the Duke Blue Devils and the Wisconsin Badgers. We started collecting tweets around 10 minutes prior to this game. We continued collecting tweets throughout the game as well as 15 minutes post game. It’s very interesting to see that the terms ‘Duke’ and ‘Wisconsin’ have the same positive sentiment scores from the tweets collected prior to the game, but ‘Duke’ is mentioned 10% more than ‘Wisconsin’. Also note that the phrase ‘duke fav’ has a bit higher sentiment score than ‘badgers’. We used HP Vertica Pulse, an in-database sentiment analysis feature, to get these sentiment scores. We also used HP Media Analytics Platform and Spotify to plot the graphs. In the graphs, green bars represent positive sentiment and red bars represent negative sentiment. Additionally, darker shades represent stronger sentiment. For example, the topic ‘duke fav’ has a stronger positive sentiment score than ‘duke’. Following graph shows Twitter topic frequency with sentiment scores derived from the tweets 10 minutes prior to the NCAA championship game. It was also very interesting to see that in the first 10 minutes of the game, sentiment score for Duke improved over Wisconsin. This lead us to think can Twitter sentiment be a good predictor of the winner of a game.I wish we had collected tweets for all NCAA games to validate whether Twitter sentiment would be a good predictor of the winner. Maybe in 2016 one can explore the accuracy of NCAA game winner predictions by incorporating Twitter sentiment as part of a predictive model. With Big Data sources like Twitter stream, we can potentially improve a predictive model and derive new insights. I would love to hear Kaggle participant’s thoughts. For those interested about this analysis, read the [Link]:https://community.dev.hp.com/t5/Vertica-Blog/Who-Likes-Duke-Applying-Sentiment-Analysis-and-Media-Analytics/ba-p/228189. Following graph shows Twitter topic frequency with sentiment scores derived from the tweets 10 minutes into the NCAA championship game. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/71971/2336/pregame10min_topAttr.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/71971/2337/first10min_topAttr.png",2,bronze,2,Thu Apr 16 2015 20:14:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13439,/competitions/march-machine-learning-mania-2015,None
/karan15,Different variables in training and testing set.,"I am getting the error ""Error in eval(expr, envir, enclos) : object 'A2015' not found"". How to sync the variables in test and training set. Need help with this.",0,None,2,Thu Apr 16 2015 20:25:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13440,/competitions/15-071x-the-analytics-edge-competition-spring-2015,159th
/panossyrgkanis,Sparsity?,Any suggestions about sparsity? Do you think it should be high(0.99 or above) or lower in order to avoid overfitting?,0,None,1,Thu Apr 16 2015 20:29:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13441,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1105th
/dgtg332754,Date R syntax,This is new code that was not properly explained in the R script file provided: NewsTrain$Weekday = NewsTrain$PubDate$wdayNewsTest$Weekday = NewsTest$PubDate$wday I know a new variable is being created for both NewsTrain and NewsTest and it is based on the variable PubDate from the NewsTrain and NewsTest dataframe - therefore the first $ but what is the second $ and wday. Never seen that before in R (and yes I am new to R). What is it doing - is this a function of some sorts? What are other options?,0,None,6,Thu Apr 16 2015 20:48:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13442,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/geethaj,prp shows a blank with 0 in the middle,Hi my CART model plots the prp with only one leaf 0. Iam trying to plot the CART model built using HeadlineWords. Thanks,0,None,3,Thu Apr 16 2015 21:05:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13443,/competitions/15-071x-the-analytics-edge-competition-spring-2015,456th
/dgtg332754,Ensemble - what is it?,I saw somewhere there was a discussion about submitting ensemble models. This is a concept that was not discussed during the course. It appears people believe who have participated in these kaggle competitions that ensembles get you up on the leaderboard. What is it? How do you do it? Is that fair?,0,None,22,Thu Apr 16 2015 22:23:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13446,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/del=44f2d26d91dbd008,Problems with installing theano,"I am desperately trying to install Theano library, but keep failing :( Could someone kindly help me with it? after installation of theano and setting environment veriables to this export THEANO_FLAGS='floatX=float32,device=gpu0,nvcc.fastmath=True,optimizer_including=cudnn' export CUDA_ROOT=/path/to/cudnn I type python -c ""import theano"" and get this Using gpu device 0: GeForce GTX TITAN Black1 #include <Python.h>2 #include <iostream>3 #include ""cudnn.h""4 //////////////////////5 //// Support Code6 //////////////////////7 8 #if PY_MAJOR_VERSION >= 39 #define PyInt_FromLong PyLong_FromLong10 #endif11 12 13 namespace {14 struct __struct_compiled_op_f90a7a397ede0965c66895e171db1485 {15 PyObject* __ERROR;16 17 PyObject* storage_V1;18 19 20 __struct_compiled_op_f90a7a397ede0965c66895e171db1485() {}21 ~__struct_compiled_op_f90a7a397ede0965c66895e171db1485(void) {22 cleanup();23 }24 25 int init(PyObject* __ERROR, PyObject* storage_V1) {26 Py_XINCREF(storage_V1);27 this->storage_V1 = storage_V1;28 29 30 31 this->__ERROR = __ERROR;32 return 0;33 }34 void cleanup(void) {35 __label_1:36 37 double __DUMMY_1;38 __label_4:39 40 double __DUMMY_4;41 42 Py_XDECREF(this->storage_V1);43 }44 int run(void) {45 int __failure = 0;46 47 PyObject* py_V1;48 49 PyObject* V1;50 51 {52 53 py_V1 = Py_None;54 {Py_XINCREF(py_V1);}55 56 V1 = NULL;57 58 {59 // Op class DnnVersion60 61 #if defined(CUDNN_VERSION)62 V1 = PyTuple_Pack(2, PyInt_FromLong(CUDNN_VERSION), PyInt_FromLong(cudnnGetVersion()));63 #else64 V1 = PyInt_FromLong(-1);65 #endif66 __label_3:67 68 double __DUMMY_3;69 70 }71 __label_2:72 73 if (!__failure) {74 75 assert(py_V1->ob_refcnt > 1);76 Py_DECREF(py_V1);77 py_V1 = V1 ? V1 : Py_None;78 Py_INCREF(py_V1);79 80 PyObject* old = PyList_GET_ITEM(storage_V1, 0);81 {Py_XINCREF(py_V1);}82 PyList_SET_ITEM(storage_V1, 0, py_V1);83 {Py_XDECREF(old);}84 }85 86 Py_XDECREF(V1);87 88 {Py_XDECREF(py_V1);}89 90 double __DUMMY_2;91 92 }93 94 95 if (__failure) {96 // When there is a failure, this code puts the exception97 // in __ERROR.98 PyObject* err_type = NULL;99 PyObject* err_msg = NULL;100 PyObject* err_traceback = NULL;101 PyErr_Fetch(&err_type, &err_msg, &err_traceback);102 if (!err_type) {err_type = Py_None;Py_INCREF(Py_None);}103 if (!err_msg) {err_msg = Py_None; Py_INCREF(Py_None);}104 if (!err_traceback) {err_traceback = Py_None; Py_INCREF(Py_None);}105 PyObject* old_err_type = PyList_GET_ITEM(__ERROR, 0);106 PyObject* old_err_msg = PyList_GET_ITEM(__ERROR, 1);107 PyObject* old_err_traceback = PyList_GET_ITEM(__ERROR, 2);108 PyList_SET_ITEM(__ERROR, 0, err_type);109 PyList_SET_ITEM(__ERROR, 1, err_msg);110 PyList_SET_ITEM(__ERROR, 2, err_traceback);111 {Py_XDECREF(old_err_type);}112 {Py_XDECREF(old_err_msg);}113 {Py_XDECREF(old_err_traceback);}114 }115 // The failure code is returned to index what code block failed.116 return __failure;117 118 }119 };120 }121 122 123 static int __struct_compiled_op_f90a7a397ede0965c66895e171db1485_executor(__struct_compiled_op_f90a7a397ede0965c66895e171db1485* self) {124 return self->run();125 }126 127 static void __struct_compiled_op_f90a7a397ede0965c66895e171db1485_destructor(void* executor, void* self) {128 delete ((__struct_compiled_op_f90a7a397ede0965c66895e171db1485*)self);129 }130 131 //////////////////////132 //// Functions133 //////////////////////134 static PyObject * instantiate(PyObject * self, PyObject *argtuple) {135 assert(PyTuple_Check(argtuple));136 if (2 != PyTuple_Size(argtuple)){ 137 PyErr_Format(PyExc_TypeError, ""Wrong number of arguments, expected 2, got %i"", (int)PyTuple_Size(argtuple));138 return NULL;139 }140 __struct_compiled_op_f90a7a397ede0965c66895e171db1485* struct_ptr = new __struct_compiled_op_f90a7a397ede0965c66895e171db1485();141 if (struct_ptr->init( PyTuple_GET_ITEM(argtuple, 0),PyTuple_GET_ITEM(argtuple, 1) ) != 0) {142 delete struct_ptr;143 return NULL;144 }145 PyObject* thunk = PyCObject_FromVoidPtrAndDesc((void*)(&__struct_compiled_op_f90a7a397ede0965c66895e171db1485_executor), struct_ptr, __struct_compiled_op_f90a7a397ede0965c66895e171db1485_destructor);146 return thunk; }147 148 //////////////////////149 //// Module init150 //////////////////////151 static PyMethodDef MyMethods[] = {152 {""instantiate"", instantiate, METH_VARARGS, ""undocumented""} ,153 {NULL, NULL, 0, NULL}154 };155 PyMODINIT_FUNC initf90a7a397ede0965c66895e171db1485(void){156 (void) Py_InitModule(""f90a7a397ede0965c66895e171db1485"", MyMethods);157 }158 ===============================In file included from /usr/include/python2.7/Python.h:8:0, from mod.cu:1:/usr/include/python2.7/pyconfig.h:1161:0: warning: ""_POSIX_C_SOURCE"" redefined [enabled by default]In file included from /usr/local/cuda-6.5/bin/..//include/host_config.h:119:0, from /usr/local/cuda-6.5/bin/..//include/cuda_runtime.h:59, from <command-line>:0:/usr/include/features.h:163:0: note: this is the location of the previous definitionIn file included from /usr/include/python2.7/Python.h:8:0, from mod.cu:1:/usr/include/python2.7/pyconfig.h:1183:0: warning: ""_XOPEN_SOURCE"" redefined [enabled by default]In file included from /usr/local/cuda-6.5/bin/..//include/host_config.h:119:0, from /usr/local/cuda-6.5/bin/..//include/cuda_runtime.h:59, from <command-line>:0:/usr/include/features.h:165:0: note: this is the location of the previous definitionmod.cu:3:19: fatal error: cudnn.h: No such file or directorycompilation terminated. ['nvcc', '-shared', '-O3', '-use_fast_math', '-arch=sm_35', '-m64', '-Xcompiler', '-fno-math-errno,-Wno-unused-label,-Wno-unused-variable,-Wno-write-strings,-DCUDA_NDARRAY_CUH=b0c165044f8fd1e0f58745b1202dab6e,-D NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY,-D NPY_ARRAY_ALIGNED=NPY_ALIGNED,-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE,-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL,-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS,-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS,-fPIC', '-Xlinker', '-rpath,/mnt/home.dokt/antonkos/.theano/compiledir_Linux-3.2--amd64-x86_64-with-debian-7.8--2.7.3-64/cuda_ndarray', '-I/usr/lib/pymodules/python2.7/numpy/core/include', '-I/usr/include/python2.7', '-I/mnt/home.dokt/antonkos/code/Theano/theano/sandbox/cuda', '-o', '/mnt/home.dokt/antonkos/.theano/compiledir_Linux-3.2--amd64-x86_64-with-debian-7.8--2.7.3-64/tmpOc31Ki/f90a7a397ede0965c66895e171db1485.so', 'mod.cu', '-L/usr/lib', '-lpython2.7', '-lcudnn', '-lcudart']ERROR (theano.gof.opt): SeqOptimizer apply <theano.sandbox.cuda.dnn.NoCuDNNRaise object at 0x3a32250>ERROR (theano.gof.opt): Traceback:ERROR (theano.gof.opt): Traceback (most recent call last): File ""theano/gof/opt.py"", line 195, in apply sub_prof = optimizer.optimize(fgraph) File ""theano/gof/opt.py"", line 81, in optimize ret = self.apply(fgraph, *args, **kwargs) File ""theano/sandbox/cuda/dnn.py"", line 1680, in apply if not dnn_available(): File ""theano/sandbox/cuda/dnn.py"", line 75, in dnn_available v = version() File ""theano/sandbox/cuda/dnn.py"", line 206, in version theano.Mode(optimizer=None)) File ""theano/compile/function.py"", line 286, in function output_keys=output_keys) File ""theano/compile/pfunc.py"", line 511, in pfunc on_unused_input=on_unused_input, output_keys=output_keys) File ""theano/compile/function_module.py"", line 1484, in orig_function defaults) File ""theano/compile/function_module.py"", line 1335, in create input_storage=input_storage_lists) File ""theano/gof/link.py"", line 559, in make_thunk output_storage=output_storage)[:3] File ""theano/gof/vm.py"", line 996, in make_all no_recycling)) File ""theano/sandbox/cuda/__init__.py"", line 258, in make_thunk compute_map, no_recycling) File ""theano/gof/op.py"", line 749, in make_thunk output_storage=node_output_storage) File ""theano/gof/cc.py"", line 1072, in make_thunk keep_lock=keep_lock) File ""theano/gof/cc.py"", line 1014, in __compile__ keep_lock=keep_lock) File ""theano/gof/cc.py"", line 1441, in cthunk_factory key=key, lnk=self, keep_lock=keep_lock) File ""theano/gof/cmodule.py"", line 1075, in module_from_key module = lnk.compile_cmodule(location) File ""theano/gof/cc.py"", line 1353, in compile_cmodule preargs=preargs) File ""theano/sandbox/cuda/nvcc_compiler.py"", line 423, in compile_str 'for cmd', ' '.join(cmd))Exception: ('The following error happened while compiling the node', <theano.sandbox.cuda.dnn.DnnVersion object at 0xc10f610>(), '\n', 'nvcc return status', 1, 'for cmd', 'nvcc -shared -O3 -use_fast_math -arch=sm_35 -m64 -Xcompiler -fno-math-errno,-Wno-unused-label,-Wno-unused-variable,-Wno-write-strings,-DCUDA_NDARRAY_CUH=b0c165044f8fd1e0f58745b1202dab6e,-D NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY,-D NPY_ARRAY_ALIGNED=NPY_ALIGNED,-D NPY_ARRAY_WRITEABLE=NPY_WRITEABLE,-D NPY_ARRAY_UPDATE_ALL=NPY_UPDATE_ALL,-D NPY_ARRAY_C_CONTIGUOUS=NPY_C_CONTIGUOUS,-D NPY_ARRAY_F_CONTIGUOUS=NPY_F_CONTIGUOUS,-fPIC -Xlinker -rpath,/mnt/home.dokt/antonkos/.theano/compiledir_Linux-3.2--amd64-x86_64-with-debian-7.8--2.7.3-64/cuda_ndarray -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -I/mnt/home.dokt/antonkos/code/Theano/theano/sandbox/cuda -o /mnt/home.dokt/antonkos/.theano/compiledir_Linux-3.2--amd64-x86_64-with-debian-7.8--2.7.3-64/tmpOc31Ki/f90a7a397ede0965c66895e171db1485.so mod.cu -L/usr/lib -lpython2.7 -lcudnn -lcudart', '[<theano.sandbox.cuda.dnn.DnnVersion object at 0xc10f610>()]') when I run the command on which node building failed i.e. nvcc -shared -O3 -use_fast_math -arch=sm_35 -m64 -Xcompiler -fno-math-errno,-Wno-unused-label,-Wno-unused-variable,-Wno-write-strings,-DCUDA_NDARRAY_CUH=b0c165044f8fd1e0f58745b1202dab6e,-D NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-D NPY_ARRAY_ENSURECOPY=NPY_ENSURECOPY,-D NPY_ARRAY_ALIGNED=NPY_ALIGNED,-fPIC -Xlinker -rpath,/mnt/home.dokt/antonkos/.theano/compiledir_Linux-3.2--amd64-x86_64-with-debian-7.8--2.7.3-64/cuda_ndarray -I/usr/lib/pymodules/python2.7/numpy/core/include -I/usr/include/python2.7 -I/mnt/home.dokt/antonkos/code/Theano/theano/sandbox/cuda -o /mnt/home.dokt/antonkos/.theano/compiledir_Linux-3.2--amd64-x86_64-with-debian-7.8--2.7.3-64/tmpOc31Ki/f90a7a397ede0965c66895e171db1485.so mod.cu -L/usr/lib -lpython2.7 -lcudnn -lcudart it says me nvcc fatal : Don't know what to do with 'NPY_ARRAY_ALIGNED=NPY_ALIGNED,-fPIC' I'm puzzled with this. Would appreciate a lot if someone can give relevant advises...",0,None,8,Thu Apr 16 2015 23:28:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13447,/competitions/diabetic-retinopathy-detection,None
/bluejay,how to optimize basic logistic regression,"Hi. I'm a newbie on machine learning, so I wanted to start from the simplest model - logistic regression. When I use module ""linear_model.LogisticRegression"", it seems that the only parameter I can tweak is the inverse-regularization parameter 'C'. I used cross validation (KFold k=5, shuffle) and averaged the log-loss each on training set and validation set, and repeated the whole procedure to see if log-loss gets better as I increase or decrease the C value. And.. there is no difference :( It seems the average log-loss sits near 0.66, and fluctuate by 1% or so. Also changing logistic regression solver doesn't seem to help. Are there some other ways to improve the result in logistic regression? what are the knobs I can play with? Thanks in advance!",0,None,7,Fri Apr 17 2015 02:25:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13448,/competitions/otto-group-product-classification-challenge,19th
/kattaylor,Error in `contrasts,"I seem to be running into error after error! I have started from scratch, converting the NewsDesk, SectionName, SubsectionName and the Popular variable to factors (as suggested elsewhere on this forum) and tried running a glm which previously worked on the train set, however I am now getting this error: Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels As far as I can see, all my factor variables have 2 or more levels. (I can post the str() to illustrate, although I'm not sure if that wouldn't violate the rules) Does anyone have any idea what might be causing this? I have to say, that I am finding it a big leap between how specific the courseware is (with closed questions, and not many examples of errors that can occur and what causes them) and between application of the techniques described in a real-life example. In the HW and QuickQuestions I am averaging around 92% and 97% respectively, but when let loose on a dataset without any direction, I'm finding that I don't quite know how to proceed when problems occur (which seems to happen every time I try one of the techniques - never ran into these problems when following the lectures or doing the homework). I don't think we've spent enough time in the course on basics, such as a clear workflow from start to finish. I have found this https://www.youtube.com/watch?v=tleeC-K1sKA (around 4:44 min) quite helpful.",0,None,3,Fri Apr 17 2015 03:03:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13449,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1484th
/martinaeyinagho,How to get false positives/negatives and true positives/negatives.,I'm very new to data mining and I was wondering how you predict the false positives/negatives and true positives/negatives from the titanic dataset using Random Forests in R.,0,None,1,Fri Apr 17 2015 06:11:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13450,/competitions/titanic,None
/seasean,clustering >applying model>how to pool results for reporting,"Hi, I am wondering if someone could guide me on how to pool together predictions from e.g. 4 clusters and then preparing results for submission. thanks!",1,None,9,Fri Apr 17 2015 08:59:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13451,/competitions/15-071x-the-analytics-edge-competition-spring-2015,800th
/yarilorenzo,Good results with Weka?,I started to learn ML with Weka but I currently work with Python (sklearn). Anyway I would like to know if anyone got good results with any Weka's algorithm.,0,None,1,Fri Apr 17 2015 09:24:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13452,/competitions/otto-group-product-classification-challenge,230th
/nishio,Museum for the art of the feature engineering,I've heard the feature engineering is an art. Where is the museum in which I can see examples of the art? Do you have any ideas?,1,bronze,1,Fri Apr 17 2015 10:13:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13453,/competitions/otto-group-product-classification-challenge,836th
/datasea,Abstract vs Snippet ,I have opened the data in Excel and found no difference between abstract and snippet variable . Am I missing something ?,2,None,4,Fri Apr 17 2015 10:15:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13454,/competitions/15-071x-the-analytics-edge-competition-spring-2015,372nd
/darraghdog,random Forest,"Hi Folks, A quick sanity check. I am using R randomForest package and cannot seem to get under .55 using 5-Fold cross validation. However I have seen others achieving under .5 with Random Forest. Are folks doing better with R ? Or are the better results coming off a python package ? P.s. I had the same experience with 'neuralnet' package on R - so going to chance my Python skills on Lasagne. If anyone had any success on R, let me know.",1,bronze,17,Fri Apr 17 2015 13:58:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13457,/competitions/otto-group-product-classification-challenge,88th
/karanb192,Submission,"We are participating in this competition as a part of an academic project. We wanted to make one last submission but we have already finished the last 5 entries of the day. So, we wanted to know if there's any other way to submit our results. We don't mind if you don't include this submission result in the leader board, we only want the score( that too, urgently). Anyone who has any idea about this, please reply.",0,None,1,Fri Apr 17 2015 16:54:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13461,/competitions/malware-classification,201st
/titericz,Anyone wants to share your local performance?,"Now that competition is reaching to its end, lets share our local validation scores? My local 20 fold CV accuracy is 0.9974236. My local 20 fold CV MLogLoss is 0.0103 Confusion Matrix: 0 1 2 3 4 5 6 7 8 0 1539 0 0 0 0 2 0 0 0 1 1 2476 0 0 0 0 0 1 0 2 0 0 2941 0 0 0 1 0 0 3 0 0 0 473 0 1 0 1 0 4 0 0 0 0 40 1 0 0 1 5 3 0 0 0 0 747 1 0 0 6 1 0 0 0 0 0 397 0 0 7 1 1 1 1 0 0 1 1221 2 8 0 0 0 0 0 1 1 5 1006 obs. [row = target classes; col = prediction]",2,bronze,12,Fri Apr 17 2015 18:25:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13463,/competitions/malware-classification,10th
/dgtg332754,Extracting specific column,1. How do you find a specific column in R by name - so you have the numerical location of it - say the 10th column. 2. How do you extract only that column to create a dataframe of having that column only?,0,None,3,Fri Apr 17 2015 20:33:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13467,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/unsung,Document to term ratio,"In one of the course videos, it was briefly mentioned (something along the line of) ""this is a reasonable document to term ratio"". As far as I remember it was slightly fewer terms than documents. Is there a rule of thumb or a guideline to figure out what is good for the model?",0,None,1,Sat Apr 18 2015 00:37:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13472,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1250th
/jiweiliu,Hats off to Little Boat !!,You got us both a golden name and a golden feature!! p.s. and your golden model !!!,12,silver,21,Sat Apr 18 2015 02:09:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13476,/competitions/malware-classification,1st
/spaceman,"Thank you all, including Kaggle, for this wonderful learning experience.","To all Kaggle This was my first experience in a Kaggle competition and I would like to thank you all for a wonderful, educational and a good humbling experience. In the short two weeks, when I decided to join this competition I have, learned a great many things just by be reading the exchanges between Kaggle members on this particular forum, then go research techniques I would not normally use in my daily efforts... I think these contest brings out techniques one would not normally read about in the run of the mill text book on Data Mining/Science and Machine Learning --I particular enjoyed furthering my education in the area of feature extraction, feature selection and all the associated techniques. I look forward to the next competition...... Best wishes to all Michael. PS: To all new people entering a Kaggle completions; read the requirements carefully. Enter the competition early so you get the needed data... some dataset download could take days as it was my experience...",2,bronze,2,Sat Apr 18 2015 03:37:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13477,/competitions/malware-classification,293rd
/dgtg332754,Packages in R Studio,I use frequent packages in R Studio. Is there a way to automatically load favourite packages so that I do not have to manually select them every time I open R Studio?,0,None,2,Sat Apr 18 2015 06:11:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13478,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/dgtg332754,Deleting missing values,"If variables have missing values and you decide rightly or wrongly to not impute those missing values: 1. Do you have to delete those observations for both the train and test data? If so, are you not sending probabilities for less observations for the test submission? 2. Can you leave the missing values as is and work with it?",1,None,1,Sat Apr 18 2015 06:15:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13479,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/vijay2110,weather events,"""For the purposes of this competition, we have defined a weather event as any day in which more than an inch of rain or two inches of snow was observed"" Problem statement describes about these two weather events(snowfall>2 and preciptotal>1). I suspect there are more weather events like this in a given data. My assumption is correct?",0,None,7,Sat Apr 18 2015 07:26:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13480,/competitions/walmart-recruiting-sales-in-stormy-weather,288th
/dgtg332754,PredictTest error,"When I do the following code on the test data predict(LogR1, type = ""response"", newdata=Test) I get the following error (which did not occur for the train predict) Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : By the way, the str for the Train and Test is identical.",0,None,2,Sat Apr 18 2015 07:54:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13481,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/johnhalter,Initializing net weights,"I've read somewhere that it can be good to initialize neural net weights with weights from a previous run of the program. When I do that (using Lasagne + nolearn), I get a very good validation result, after only 1 epoch, but it rarely if ever improves after that. And it doesn't score any better than the run with random initialization on the test set. Has anyone else seen this? Just a bit puzzling, since I would expect that a 'random run' with 20 epochs + a new run, initializing the weights from that run and going 1 epoch, would be the same result as just 1 run with 21 epochs.",0,None,4,Sat Apr 18 2015 08:59:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13482,/competitions/otto-group-product-classification-challenge,421st
/namra42,Clustering using factor variable,I am trying to cluster data using one of the factor variable but there is an error stating that NA's were intorduced by coercion. What is a workaround approach to this other than creating new columns with different factor levels as their labels and having binary values.,0,None,2,Sat Apr 18 2015 13:04:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13484,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1247th
/drpatrickchan,Dealing with Compressed Binary,"I still find it impossible to nail down the recognition of compressed binary using packing methods (e.g. aspack, etc.). Wonder how the leaders are magically coping with these recognition especially in the 30% data. Are you blending features (ngram with asm opcodes?). opcode features would not suffice and my experiment with ngram performs poorly. Also are you able to unpack without the PE header? Some of the compressed binary files are as follows: utC4VEjyhfxJlw7ZrITF.asm (using UPX) MpZc1heaWnlgIiFQDfyV.asm (using aspack) Without unpacking the binary, can your recognition engine really uncovers the identity of the virus? Appreciate the sharing. Forgotten to choose the submission file and drop 100+ position... sign... Thanks Kaggle for the competition.",0,None,1,Sat Apr 18 2015 13:25:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13485,/competitions/malware-classification,199th
/valerioorfano,Variable interaction,"Hi, I have 2 questions: 1- I've tried predict_proba() with sklearn.RF in python but it returns pretty a bad result. It works fine with sklearn.GBC. 2- I am planning to use an interaction between variables, therefore i am combining all the variables into couples, and then using hash function. But it seems to be very time consuming. I will then use PCA to reduce the number of significant variables. Has anyone followed this path as well? Rgds valerio",0,None,4,Sat Apr 18 2015 14:52:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13486,/competitions/otto-group-product-classification-challenge,971st
/scottdickinson0,SectionName and SubsectionName,"In the data frame, is there a way to reflect the fact that each SubsectionName belongs to a specific SectionName? I feel like predictions made by CART and Random Forest methods would be improved if you told R this at the outset.",1,None,13,Sat Apr 18 2015 16:12:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13488,/competitions/15-071x-the-analytics-edge-competition-spring-2015,610th
/jiweiliu,What is your best score?,"If you choose rightly, what is your best score in private LB? Our best 4 are 0.0024 0.0025 0.0028 and 0.0031. It turned out we chose the 3rd and 4th one as our final solution. So lucky :D",2,bronze,11,Sat Apr 18 2015 17:20:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13489,/competitions/malware-classification,1st
/xiaozhouwang,Say no to Overfitting approaches sharing,"Hi everyone, thanks for the great game! I will briefly describe what we did here. A more detailed description and code will be presented later after some cleaning. The features we used consists of rcarson's 4k features and 3k features from me. I will just describe mine and let rcarson reveal his magic. :) 1. single byte count. Inspired by the beat benchmark code. Thanks! 2. instruction count, like 'mov', 'jp', ... 3. 4 gram byte features. I used info gain to select the best 500 features for each class. So there are 500 * 9 of them. 4. DAF features. Like the one described in this paper. https://www.utdallas.edu/~lkhan/papers/A%20Knowledge-based%20Approach%20to%20Detect%20New%20Malicious%20Executables.pdf Each feature is a standard representation of asm instructions, following the format: name.para1.para2, such as or.memory.register. 5. DLL functions. The original idea is to get the dll features described in paper from 4. But I had no idea what that is, so I just gathered the function names instead. The ways I gathered features of 3,4,5 are very greedy, so I did a random forest on them and selected about 2k features out of all. 6. asm image features. Convert each asm file into 'image array' like the step 0 in this blog ( Thanks SARVAM team! ) http://sarvamblog.blogspot.ca/2014/08/supervised-classification-with-k-fold.html And then only took the first 800 values from the array. And they all make more than 3k features. Combining rcarson's 4k features, a xgboost gives about 0.0052 cv score. And rcarson uses these features and he magically generated 2 other xgboost models. A geo mean of these 3 models gives about 0.0042 cv score, and 0.0031 in private board. Another trick: Take the result from the geo mean of the 3 models described above, I generated the label of test set by choosing the max probability. And then, I combine them into training and generate a 'semi learned' result. The key here is not including the data for training and testing. Say, you can divide the data into 2 parts A and B. So when you train A, you only include B and the entire training set. Otherwise you will overfit your misclassified points and the score will be just terrible. It achieves 0.00316 cv score by some playing and tuning, and 0.0024 in private board. The score in the current private board is a geo mean combination of 'semi learned' model and other models above. Hope it helps! :)",19,gold,31,Sat Apr 18 2015 19:20:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13490,/competitions/malware-classification,1st
/akshaykher,Useful Tips,"Hi, I was hoping to get a few tips because I have run out of ideas as to how to further improve my model. I have tried many things but somehow my score on kaggle does not improve. I have come to a conclusion that out of the 3 models taught to us, random forest is predicting most accurately. Also the best accuracy is obtained by including all but the Snippet variable. So I have built a Random Forest model with all variables excluding the Snippet Variable. I do not know how to tune my model, how to calculate ntree,nodesize or mtry. Also do we have to manipulate the data ex : use logarithms or remove NAs or remove unwanted variable after bagging procedure. Very curious to know as to how others are improving their models ?",0,None,145,Sat Apr 18 2015 20:49:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13492,/competitions/15-071x-the-analytics-edge-competition-spring-2015,351st
/fyears,"our cv result is very different from LB, do we miss something?","Hello everyone. We are new to kaggle, and we're wondering whether we are doing anything wrong. :-( Since the submissions are limited, we want to check the RMSE locally to check the model accuracy, and all we could play with here is train.csv, right? So our way is traditional K-folds cross validation: split train.csv(137 rows) to K small datasets, then train the model on K-1 folds and test it on the remaining fold, repeat the step K times and average the RMSE in each step, in the end the average result should be the ""approximation to true RMSE"". However, the cross validation result is VERY different from the result on the Public Leader Board, while in some models the local results is much smaller and in some models the local results is much bigger. Are we doing anything wrong? Or do we miss anything? Thank you so much.",1,bronze,7,Sat Apr 18 2015 23:53:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13494,/competitions/restaurant-revenue-prediction,507th
/asimkievich,is there a forum to exchange ideas on real world data science projects?,"hi there, this community has been amazing at helping its members. Technical communities are usually pretty generous at sharing knowledge, but I have seen many kagglers give advice to folks who can easily overtake them at the LB after they use the advice they give out. Is there a forum to share tips and tricks on real world data science projects? That would be a huge asset. @ Kaggle organizers: have you thought of setting up something like that? @ everyone: if you know of any online community where one can share ideas on real world assignments (leaving confidential data out), I would highly appreciate if you can point me to one. If there is no forum - which I highly doubt - or if Kaggle does not want to create one, maybe we can create such an online community. Comments / ideas?",1,bronze,9,Sun Apr 19 2015 04:04:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13495,/competitions/otto-group-product-classification-challenge,87th
/raresv,Document Model for Popular Article,"Hi, How could one create a document model where only the words appearing in popular articles are used instead of words appearing in all the articles? Does this make sense? Thanks!",1,None,2,Sun Apr 19 2015 04:41:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13496,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1425th
/kevin96,Missing objects while predicting using the test data ,"Hi Here I got error during appling the prediction model on test data set, complaining that there is missing variable where there shoud have. ""Error in eval(expr, envir, enclos) : object 'Hmuseum' not found"" I know that the model is built on terms from training set, of course there are possibilities there is no such terms in testing set. I am trying to mergy the Train and Test data in the very beginning. Kevin",0,None,2,Sun Apr 19 2015 05:24:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13497,/competitions/15-071x-the-analytics-edge-competition-spring-2015,47th
/vorloff,Использование классификатор OneClassSVM.,Классификатор OneClassSVM можно использовать или нет? С одной стороны это по сути просто модификация метода SVM с другой стороны конкретно этот классификатор мы не разбирали на лекциях..,1,bronze,1,Sun Apr 19 2015 13:03:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13500,/competitions/competition-2-yandex-shad-mipt-fivt-ml-spring-2015,91st
/wuarthur,This non-causality predicting attempt makes no sense,"I am afraid I have to be frank with this attempt. The factors in raw data are not critical revenue drivers. Even If a fitting model is generated, it makes no sense and is apparently incapable of real world use.",4,bronze,9,Sun Apr 19 2015 14:08:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13501,/competitions/restaurant-revenue-prediction,None
/thanish,Help with the flow i am following,"Hi all, Please let me know if the procedure i am following is right 1.NewsDesk, SectionName and SubSectionName are all factor variable, so i converted these variables into factor using as.factor 2 extracted only the week day by using the following function NYTrain$PubDate = strptime(NYTrain$PubDate, '%Y-%m-%d %H:%M:%S') NYTrain$wday = NYTrain$PubDate$wday NYTest$PubDate = strptime(NYTest$PubDate, '%Y-%m-%d %H:%M:%S') NYTest$wday = NYTest$PubDate$wday 3.Headline, Snippet, Abstract are text data variable so i followed the usual bag of words method for both Train and Test set a.created the corpus b.converted to lowercase c.PlainText document d.removed Punctuation e.removed stop words f.stemed documentation g.Document term matrix h.removed Sparse Terms i.e 0.95 i.converted into matrix and then into data.frame j.prefixed the words with a unique letter using paste('',colnames()) function 4. cbind the three text variables to variable called DTMTrain when is gave Cbind i got this warning ""In data.row.names(row.names, rowsi, i) : some row.names duplicated: 2,3,4,5,6,7,8,9,.....""Please tell me should i be worried about this warning' 5. a.inserted the factored variables(NewsDesk, SectionName, SubSectionName), WordCount, wday, popular into DTMTrain b.inserted the variables factored variables(NewsDesk, SectionName, SubSectionName), WordCount, wday to DTMTest6. created the logistic model by using the DTMTrain dataset when i tested the model with DTMTest i am getting this error""Error in eval(expr, envir, enclos) : object 'HEADnew' not found"" Please tell me if i am following a correct procedure or there something that i am missing...",0,None,1,Sun Apr 19 2015 14:25:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13502,/competitions/15-071x-the-analytics-edge-competition-spring-2015,None
/surbhig,P1-P37 categorical or not,many restaurants have zero value for P1-P37. around 65% of some of these columns is 0. So is 0 a category or real value? please indicate which columns are categorical.,0,None,2,Sun Apr 19 2015 14:43:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13503,/competitions/restaurant-revenue-prediction,462nd
/rafi88,Feature building,"To the more experienced Kaggle competitors out there - what's the best way to build features, based on the differences you have found in a distribution? My question may not be structured very well so using an example what I mean is, say you have found that the distribution for the Popular and Non-popular articles look very different in the greater than 3000 WordCount space. How do you go about flagging this up as a feature so that your algorithm can then take advantage of it? This is something that has always bothered me, not knowing if I should use mean/median and then build a binary feature - or use the quantiles of the overall (both Popular and Non-popular) distribution and hope the Popular articles occupy a certain range of quantiles and the Non-popular a different range.",0,None,1,Sun Apr 19 2015 14:49:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13504,/competitions/15-071x-the-analytics-edge-competition-spring-2015,232nd
/tony46,train and test data sets,"I am really wondering how can I build baseline and prediction models involving the text variables because the data set was already split into train and test. In AnalyticsEdge course, we preprocess the variable then split into test and train before building and baseline and prediction models. I hope somebody can explain the process. Thank you.",0,None,7,Sun Apr 19 2015 15:41:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13506,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2798th
/atrefzer,rpart classification / regression,"Hi, I wonder about how rpart uses variables to build a model. When I use Popular as a factor training$Popular = as.factor(training$Popular) then the plotted tree does not contain any words. It is all about word count and sections etc. When I use Popular as a numeric value training$Popular = as.numeric(training$Popular) and use rpart suddenly the model starts using the words. Does anyone know why rpart does this?",1,None,1,Sun Apr 19 2015 16:46:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13507,/competitions/15-071x-the-analytics-edge-competition-spring-2015,203rd
/kalyan5,RandomForest Returning Error Please Help,"Hello Team, Running Random forest is continuoulsy throwing me below error. Wanted to know how did others solved this problem. Please help. newsforest = randomForest(Popular ~ ., data = HeadlineWordsTrain, type=""prob"",ntree=1000,nodesize=5) Error in randomForest.default(m, y, ...) : NA/NaN/Inf in foreign function call (arg 1)In addition: Warning messages:1: In randomForest.default(m, y, ...) : The response has five or fewer unique values. Are you sure you want to do regression?2: In data.matrix(x) : NAs introduced by coercion3: In data.matrix(x) : NAs introduced by coercion",3,bronze,23,Sun Apr 19 2015 17:16:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13508,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1754th
/kannansreedhar,Random Forest Struggle,"I stopped working on the Kaggle competition for 3 days as I was getting frustrated. I now took my training set and split it into a train2 and test2 set. converted several of the variables with as.factor and then developed a RF model. fitRF=randomForest(as.factor(Popular)~xxxxxxx, data=""newtrainingset"",type=""prob"", ntree=yy,nodez=zz) Now the predict finction predRFTest=predict(fitRF,newdata=""newtestset"",type=""prob"")[,2] Error msg: in predict.randomForest(fitRF, newdata = NewsTe2, type = ""prob"") : Type of predictors in new data do not match that of the training data. Any suggestions on what I am doing wrong?",0,None,5,Sun Apr 19 2015 17:59:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13510,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/raresv,Factor variable not found in tuned model,"Hello, I am trying to tune a CART model as explained in the Unit 4 Recitation. It is very strange than when I try to predict on the exact data I trained with, I get an error for missing variables. This problem seems to be present only for factor variables. Here is the code I use: > NewsTrain = read.csv(""NYTimesBlogTrain.csv"")> tr.control = trainControl(method=""cv"", number=10)> cp.grid = expand.grid(.cp = (0:10)*0.1)> tr = train(Popular ~ NewsDesk, data=NewsTrain, method=""rpart"", trControl = tr.control, tuneGrid = cp.grid)Warning message:In nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures.> predict(tr$finalModel, newdata=NewsTrain)Error in eval(expr, envir, enclos) : object 'NewsDeskBusiness' not found Any suggestions would be appreciated. Thanks!",0,None,19,Sun Apr 19 2015 21:00:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13513,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1425th
/promentis,Word Clouds,"For those who want to play around with some visualization: today I came across the 'wordcloud' package in R. I haven't done anything with it yet, but from the documentation there appear to be at least two functions that could be interesting, to get a sense of how the train and test sets compare on the text variables: commonality.cloud comparison.cloud",1,None,3,Sun Apr 19 2015 21:14:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13514,/competitions/15-071x-the-analytics-edge-competition-spring-2015,95th
/titericz,Brief Description of 10th Solution,"Unfortunately I didn't have much time for this competition, but here it is my solution. It can still have a LOT of improvements. Basically I created 4 features groups. 1) - Convert each .bytes file into an image matrix and extracted 320 features acording SARVAM method. Then used kmeans and other clustering algorithms like Affinity propagation, Spectral clustering, etc, to extract groups with different number of classes of that 320 features. It generated me 10 categorical features. It don't have great performance, but together with other features can improve a little the final results. 2) - Count of many manual choosen words from the .asm files by section (.header, .text, .data, etc), like: ""import, sub, loc, call, push, xor, add, jmp, security, dll, ret, unk, extrn, re, LZX, Decode, bf, obfuscator, rwe, COLLAPSED, dd, dw, db, nop, export, dllentry, reg, crypt, CWinApp, dllimport, Cookie, Thread, bb, jumptable, File, Delphi, Microsoft"". In my tests that features have a good performance. It generated me 407 count features. interesting I found more that 1 file with word ""obfuscator"" inside, and it is an obfuscator. 3) - Most interesting feature, mean line length by section (.asm files). I gives me 11 features from all sections (.header, .text, .data, etc). Performed good. Probably using stardard deviation of line length can also give good performance, but I didn't tested it. To build that features I suposed Mean Line Length by section could work as a malware signature. 4) - Files sizes compressed and uncompressed and .bytes and .asm and first byte of each .bytes files. 5 features. My last step was join all those features and run an multiclass random forest with many trees to find the feature importances. Then I just pick around 300 more important features and trainned it using crossvalidation with xgboost. High number of trees and low eta gives a more stable response in gbdt algorithms. My local CV was 0.0103. Then I aplied a trim technique to that results testing in my crossvalidated trainset. For each instance if the maximum prob was higher than 0.9998 I turn it to 1 and the other 8 classes to 0. If any class have prob below 0.0002 I set it to 0 and sum the prob value to the class with the high prob in that instance. It improved my CV trained dataset performance from 0.0103 to ~0.009. And private 0.00684. As the trim technique is very risk and only 1 mislabeled instance can destroy your score, I trusted in my local CV, so I choose those two submission as my final models. It seems my trimmed model worked well. Also I sent a lot of email (via Kaggle) to other competitors (more than 10) to team up and nobody returned... anybody knows if that email system is working?",11,silver,2,Sun Apr 19 2015 21:25:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13515,/competitions/malware-classification,10th
/aaronhartfield04,invalid type (list) for variable 'Headline',When I follow the code provided as an example I get this error when attempting to build a glm model. Does anyone know why?,0,None,1,Sun Apr 19 2015 23:56:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13517,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1887th
/ganesanravishanker,Simple Question - AUC ,"Hi All I am just getting started and want to try to understand the problem. So, I have created a new data frame for the training set. I have gone through and converted the NewsDesk, SectionName, SubSectionName using as.factor. I have gone through and created the DTM Matrix, created unique colnames for Headlines, Snippets and Abstracts and put all of these together. To start with, I want to run a random forest that contains all the independent variables other than the text columns I have done that and gone through and calculated the auc for the training set. I have leveled the factors between training and test data sets. However, from what I understand, the competition is to calculate amd maximize the auc for the test dataset. However, the test dataset does not have Popularity. How do I calculate the AUC? I tried using random forest model to calculate the predictions for the test set. rf is my model, modifiedTest is the transformed test dataset that I created using the steps outlined above for the test data. pRF = predict(rf,newdata=modifiedTest, type = ""prob"") testPopularity = predict(rf,newdata=modifiedTest, type = ""response"") And then used this vector to calculate the predictions: predRF = prediction(pRF[,2],testPopularity) aucRF = performance(predRF,""auc"")@y.values And my aufRF is very high. I know I am missing something here. In simple terms, how do I calculate the AUC for test set when it does not contain the Popularity column? Thanks in advance. Ravi",0,None,3,Mon Apr 20 2015 02:07:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13518,/competitions/15-071x-the-analytics-edge-competition-spring-2015,664th
/msshah3,Logistic regression warning message,"Hello everyone. I am getting the following warning message when I try to use the predict function for the test set with logistic regression In predict.lm(object, newdata, se.fit, scale = 1, type = ifelse(type == :prediction from a rank-deficient fit may be misleading Could someone please tell me how to fix it?",1,None,1,Mon Apr 20 2015 02:44:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13519,/competitions/15-071x-the-analytics-edge-competition-spring-2015,108th
/sixpluszero,Missing station in  weather.csv ?,"In the description we are told that their are 20 weather stations but in the weather.csv there is no any data about station 5, and store35 is connected with it so what's the problem?",-4,None,1,Mon Apr 20 2015 02:58:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13520,/competitions/walmart-recruiting-sales-in-stormy-weather,344th
/skhan777,Logistic Regression--Warning Message,"I receive the following warning message. Does anyone know the cause of the warning and how to fix it? > CombineWordsLog = glm(Popular ~ ., data=CombineWordsTrain, family=binomial)Warning message:glm.fit: fitted probabilities numerically 0 or 1 occurred > Pred_CombineWordsLog = predict(CombineWordsLog,newdata= CombineWordsTest,type=""response"")Warning message:In predict.lm(object, newdata, se.fit, scale = 1, type = ifelse(type == : prediction from a rank-deficient fit may be misleading",1,None,8,Mon Apr 20 2015 03:55:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13521,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2149th
/mas313,"Basic help in using the code from ""bag of words meet bag of popcorn"" competition","Hi, I was trying to use the code in ""Bag of words meet bag of popcorn"" in this competition. The code works fine. However, with certain data my code gives error. one of the problematic data is: T turns 10 this month. In honor of the anniversary and the upcoming T@10 Issue, this series looks back at some of the most memorable stories from the magazines first decade. the reported problem is Traceback (most recent call last): File ""/Users/mas/Documents/workspace/DeepLearning/BagOfWords.py"", line 41, in clean_train_reviews.append("" "".join(KaggleWord2VecUtility.review_to_wordlist(train[""Snippet""][i], True))) File ""/Users/mas/Documents/workspace/DeepLearning/KaggleWord2VecUtility.py"", line 22, in review_to_wordlist review_text = BeautifulSoup(review).get_text() File ""/Library/Python/2.7/site-packages/bs4/init.py"", line 162, in init elif len(markup) <= 256: TypeError: object of type 'float' has no len() would appreciate any help",0,None,1,Mon Apr 20 2015 06:18:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13522,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2902nd
/stanley1004,Blending model is worse than single model,"I have had this thought in my mind that blended model should be much better than the any single model in the blending pool. Maybe this is basically wrong, but I would appreciate a lot if someone can walk me through here a little bit. I have trained a single Gradient Boosting models and each one gets around 0.457 on LB but blend model has a combination of GBC, NN and RF and only give 0.47 on LB. I used Logistic Regression to assign weights. I will try with to select the best subset of models to blend, but I only get 11 models and I thought a selection is not required.",0,None,2,Mon Apr 20 2015 07:32:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13524,/competitions/otto-group-product-classification-challenge,446th
/skeller,"The dreaded ""overfitting""","I want to work more on this problem but don't have the time. I'm curious to what degree people think these current leader board scores are reflective of reality; given the small data set and small amount of actual test data. I've seen this brought up on different threads, but I'd be interested in hearing everyone's thoughts in a single spot.",0,bronze,9,Mon Apr 20 2015 09:45:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13525,/competitions/restaurant-revenue-prediction,1505th
/mike21169,Adding Word Count to Random Forest,Should I be converting word count variable to factor before using random forest or do I leave the variable as an integer or use normalisation?,0,None,11,Mon Apr 20 2015 10:12:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13526,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1875th
/kannansreedhar,Thank You,"@Akshay, @Data Wallah, @Heonkyu, @Hamster Huey, et.al. Many of you ae much more advanced in your knowledge of R than others of us who are beginners or novices! However, may of you have been extremely generous with your time and knowledge in helping the novices/beginners solve our issues in finding the right commands in R. Hopefully the collaborative effort helps us all improve our overall knowledge of R and data analytics. Thanks for your support!",2,bronze,3,Mon Apr 20 2015 14:40:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13527,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/kannansreedhar,Same Old Bag of Words Problem,"here is what I did and wondering how to proceed with the flow: 1. Merged = c(Train,Test) 2. Builld Corpus, ->lowercase,stopwords,stemDocument 3. Build merged$Sparse as a data frame and make column names friendly 4. Now adding dependent variable Popular to the Sparse matrix NOW is where I am getting confused. 5..) Should I now split the merged data frame back out to Train & Test based on the dependent variable and then create a CART or RF model based on the training set? OR 5..) Should I continue t split the merged data frame into a Sparse Train & Test like we did in Unit 5. But this will completely mess up the Test data set provided and not give me the appropriate predictions for submission. Any help is greatly appreciated........ in terms of the logic!!",0,None,8,Mon Apr 20 2015 15:17:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13528,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/abhishek,all private scores?,When will we know all the private scores without submitting each and every file? When will the leaderboard be finalized?,1,None,5,Mon Apr 20 2015 15:47:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13529,/competitions/malware-classification,33rd
/mariosegal,Clustering - How to predict for test set,"I help someone ca help me I created some hierarchical clusters that made sense to me - on the training data, and I build individual models for each cluster In order to apply them to the test set, I need to cluster the test set using the same process in class we use the as.kcca function to be able to predict, crucially we did it with kmeans when I tried it on the hclust it told me that most of the cluster memberships had changed does anyone know if it only works on means? there is an example pn the documentation that works, but I think hclust has a default means method and we used ward.D",1,None,32,Mon Apr 20 2015 16:00:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13530,/competitions/15-071x-the-analytics-edge-competition-spring-2015,288th
/wally007,? Corpus Headline ,"Dear classmates, Convert NewsTrain-Headline to Corpus done tm (lowercase, PlainTextDocument, removePunctuation, remove sw, stemDoc) However, the summary output of the Corpus yields below finding? It does not display as expected the character reading of headline. I redo it several time, what went wrong? Thank You! character(0) 2 PlainTextDocument listcharacter(0) 2 PlainTextDocument listcharacter(0) 2 PlainTextDocument list",0,None,17,Mon Apr 20 2015 16:22:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13531,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1624th
/dgtg332754,Levels vs factor issue in train vs test - how to fix the error,I thought I saw somewhere in the forum that the fix for the different levels in the train vs test set created by the as.factor is to have levels() = levels() - is that the correct way? Can someone please explain the error and the fix?,0,None,3,Mon Apr 20 2015 18:23:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13532,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/ram1angadala,How far could you go with one model?,"Mine is RF using Feature selection stands at 1,679,878 RMSE. Does any one using Data augmentation to improve the single model?. Is there any other way to improve on it.",0,None,2,Mon Apr 20 2015 19:02:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13533,/competitions/restaurant-revenue-prediction,750th
/migugf,AUC of a RandomForest predicting a Factor Variable,"How do you do to get the AUC value of a RF model? The variable I'm trying to predict is a factor one. I am getting the predictions with 1s and 0s instead with the prob. I am doing something like: variable=as.factor(variable) Model = randomForest(varible~ . , data = Train) PredTrain = predict(Model) ROCR = prediction(Train, varible) as.numeric(performance(ROCR , ""auc"")@y.values)Format of predictions is invalid Help please!!",0,None,10,Mon Apr 20 2015 19:41:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13535,/competitions/15-071x-the-analytics-edge-competition-spring-2015,927th
/kannansreedhar,CART Model,"I hate to post code but this is what I have done and not sure why I am having a problem. Train=read.csv(""NYTimesBlogTrain.csv"",stringsAsFactors=FALSE) Test=read.csv(""NYTimesBlogTest.csv"",stringsAsFactors=FALSE) merged <- bind_rows(Train, Test) merged$NewsDesk=as.factor(merged$NewsDesk) > merged$SectionName=as.factor(merged$SectionName) > merged$SubsectionName=as.factor(merged$SubsectionName) library(tm) > library(SnowballC) > corpus=Corpus(VectorSource(merged$Variable1)) corpus=tm_map(corpus,tolower) > corpus=tm_map(corpus,PlainTextDocument) > corpus=tm_map(corpus,removePunctuation) corpus=tm_map(corpus,removewords,stopwords(""english"") DTM=DocumentTermMatrix(corpus) sparse=removeSparseTerms(DTM,xx) Sparse=as.data.frame(as.matrix(sparse)) Sparse$Popular=merged$Popular Train <- subset(Sparse, !is.na(Popular)) > Test <- subset(Sparse, is.na(Popular)) SparseCART=rpart(Popular~.,data=Train,method=""class"") predSparse=predict(SparseCART,newdata=Test)[,2] table(Test$UniqueID,predSparse) #####All values of predSparse are 1 not a probability.#### What is wrong in my logic above?",0,None,15,Mon Apr 20 2015 20:12:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13536,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/dgtg332754,"Random forest - type=""prob""","I thought you had to include type = ""prob"" - as in: PredictForest=predict(NameForest,newdata=Test, type=""prob"") However, I got an error and I removed type = ""prob"" at it works. Why? Also, can you not generate trees in Random Forest like prp(NameForest)?",0,None,1,Mon Apr 20 2015 21:36:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13539,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/rsarac,"Excluding variables, still used in models?","I've been running into a problem where I ask R to exclude a variable using the formula interface: mymodel = rpart(Outcome ~ . - VarA - Var B ... But when I go to predict() on the test set, I get errors about the variables I've asked R to exclude. For example, today, R complained about new factor levels in Headline, even though I had asked it to exclude Headline from the model. The only solution I've come across is to set those variables to NULL before I train my model. Can someone offer some insight as to what I'm doing wrong?",0,None,2,Mon Apr 20 2015 22:08:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13540,/competitions/15-071x-the-analytics-edge-competition-spring-2015,315th
/dgtg332754,Random Forest Error?,"I get this error message with my random forest: In randomForest.default(m, y, ...) : The response has five or fewer unique values. Are you sure you want to do regression? What does it mean? And why can't we prp(randomForestModel)?",0,None,3,Mon Apr 20 2015 22:31:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13541,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/markslusar,Important: A note to the soon-to-be winners @ 1 pm EDT 4/21,We (Allstate) will be reaching out to teams to briefly meet with us (for 30 minutes or less) to explain how your model works in order to be eligible to receive prizes. You must be registered for the 2015 Rose Hulman Undergraduate Math Conference to be eligible to receive a prize. We will contact you after the LeaderBoard closes on 4/21 @ 1 pm EDT I will be at the conference in person to deliver awards. -mark s,0,None,6,Mon Apr 20 2015 22:34:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13542,/competitions/2015-rose-hulman-undergraduate-math-conference-hackathon,None
/ebrucecfa,Roughly 1622 Rows with No NewsDesk value - Suggestions?,"Hi all, After an initial round of simply assigning ""Unk"" to NewsDesk, Section and Subsection and seeing my submissions drop quite significantly, I decided to peruse the NYT NewsDesk->Section->Subsection heirarchy and perform some data cleansing to clean up these empty values. There were over 2400 missing NewsDesk values and roughly 3500+ combinations of missing NewsDesk or Section prior to doing this so I cleaned up quite a bit but still 1622 remain. I simply changed these 1622 to ""Other"" as I did not feel it justified to go through each and assign them properly. Did anybody do anything to totally resolve these?",0,None,2,Mon Apr 20 2015 23:28:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13543,/competitions/15-071x-the-analytics-edge-competition-spring-2015,588th
/chriselvin,number formatting error (e.g. -4.31210622764411E-16),"I am getting an error for some of my predictions as it does not appear to be in the correct format. Is there something I can do to automatically change these low numbers which are causing my submission to be rejected? ERROR: The value '-4.31210622764411E-16' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 84, Column 6) ERROR I could change them manually, but I'd rather find a quicker solution. thanks in advance",0,None,4,Mon Apr 20 2015 23:53:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13544,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1700th
/davidshinn,test data quality?,The test file is awfully small (< 400 trips) and all of their polylines are identical (making the partial trajectory not useful). Could we get confirmation on the test data quality?,1,bronze,1,Tue Apr 21 2015 00:07:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13545,/competitions/pkdd-15-predict-taxi-service-trajectory-i,49th
/dgtg332754,Random Forest - Categorical variable error,"I get the following message when trying to do random forest Error in randomForest.default(m, y, ...) : Can not handle categorical predictors with more than 53 categories. I have less than 53 categorical variables Does this mean you cannot run random forest if you have more than 53 variables?",0,None,1,Tue Apr 21 2015 00:56:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13546,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/all16universes,Question about neural networks in Python.,"Hello everyone, I've never used neural networks before, and I'm having trouble finding a decent tutorial/example that makes sense for a beginner. I've installed lasagne and have played with the code that was provided [Link]:http://nbviewer.ipython.org/github/ottogroup/kaggle/blob/master/Otto_Group_Competition.ipynb (The link to the forum discussion where I found this is [Link]:http://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/13016/neural-nets-in-sklearn). Other than increasing the number of epochs/iterations, I'm not really sure how to tune/improve the model. Based on the limited examples I've found, it's not clear to me how you would add more layers to the model, or what parameters should be tweaked, etc. Does anyone have a good (or better) resource for neural networks in Python? Sample code for a very simple multi-classification example would be excellent, perhaps demonstrating how to add additional layers, or tweaking parameters. Any help is much appreciated.",0,None,5,Tue Apr 21 2015 00:56:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13547,/competitions/otto-group-product-classification-challenge,285th
/robmiller1,Prediction accuracy?,"The Kaggle score is somewhat obscure, so I was hoping to get some help with this. My score just using random forests is ~0.55, and using a holdout set from train.csv and the max prediction for each example I'm getting a prediction accuracy of ~82%. What kind of prediction accuracy are you getting with models that do 0.45 or better?",1,bronze,8,Tue Apr 21 2015 01:37:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13548,/competitions/otto-group-product-classification-challenge,1464th
/carloshuertas,€ 290 to be part of the final ranking,"I have some doubts regarding this competition rules:What is the ""final ranking""?Do I (we) have to pay € 290[1] to be in there? [1] http://www.ecmlpkdd2015.org/summer-school/registration",0,None,19,Tue Apr 21 2015 02:01:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13549,/competitions/pkdd-15-predict-taxi-service-trajectory-i,237th
/karens001,Cart Model Error,"Hi, I am getting the following error when building a CART model, does anyone know what I am doing wrong? :) HWTrainCART = rpart(Popular~., data = HeadlineWordsTrain, method = ""class"") Error in terms.formula(formula, data = data) : duplicated name 'X1914' in data frame using '.' Thanks",0,None,6,Tue Apr 21 2015 02:34:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13550,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1255th
/goodspellr,Missing Storm in Train (Feb. 2012),"I am in need of clarification of what constitutes an ""event"". According to the data page, ""For the purposes of this competition, we have defined a weather event as any day in which more than an inch of rain or two inches of snow was observed."" I interpret this as meaning that an event is defined by any day where ""snowfall"">2 or ""preciptotal"">1 in the weather.csv file However, I found the following entry in weather.csv: header row: ""station_nbr"",""date"",...,""snowfall"",""preciptotal"",... data entry row: 13,2012-02-03,...,""M"",""1.33"",... Thus, by my understanding, there is an event for station 13 on February 3, 2012 because preciptotal = 1.33 > 1. However, when I look at the plot you give on the data page, there is clearly no such event for station 13. Either I am misunderstanding what is an event or the plot you provided was not generated correctly. Which is it?",0,None,11,Tue Apr 21 2015 03:40:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13551,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/kannansreedhar,Basic question,"I got an error as follows: Error in rpart(Popular ~ . - SubsectionName, data = AbstractWordsTrain, : NAs are not allowed in subscripted assignments What command can I sue to find which vector has NAs? Any way to eliminate them?",0,None,1,Tue Apr 21 2015 04:16:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13552,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1647th
/caiom327059,Error in logistic regression after merging datasets,"I get an error when trying to build the logistic regression model: ""Error in terms.formula(formula, data = data) : duplicated name 'X2015' in data frame using '.'"" Here's what I've done so far: - After adjusting the date parameters, added the ""Weekday"" and ""Hour"" variables to both Train and Test dataset; - Wiped all the garbage from Abstract and Headline, using the tm package; - Built the DocumentTermMatrix and removed the SparteTerms from them, and converted them into data frames (with as.data.frame); - Used the colnames function to both Abstract and Headline variables; - Merged both datasets Abstract and Headline into a single one called CombinedWords, using the cbind function. Then used the head and tail functions respectively to create CombinedWordsTrain and CombinedWordsTest; - Imported the variables I wanted from the original Train and Test datasets. And it's now that I get the error mentioned above. Can someone please help me and tell me what I'm missing? Should be pretty obvious but I cann't figure it out. Thanks in advance, Caio",0,None,3,Tue Apr 21 2015 05:15:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13554,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1187th
/ravi58,Saving work ,"Hi all, it is a little late in the course to ask this question - but how do you save your work in R and then go back to it? I am planning a couple of days break from the competition to go through the visualization lectures and will need to switch the data. However, would like to get back to where i am currently as lots of files are already in a format I want. Would appreciate the help, Ravi",0,None,6,Tue Apr 21 2015 05:47:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13555,/competitions/15-071x-the-analytics-edge-competition-spring-2015,982nd
/raisefamous,Several questions about clustering and RF models,"Hi everyone, I have been applying k-means clustering to several numerical variables but the results I receive after building logistic regressions for each cluster are worse than those I receive without clustering. Which is very strange. So I wanted to ask: 1) what type of clustering do you use and do you cluster on numerical values or words? does it improve the model? 2) Sometimes when I predict the Test variables with logistic regression I have ""NA"" in some cells instead of probabilities. What causes this and how to correct it? Did anyone achieve any good results with RF models? from what I have tried they do not yield better results than logistic regression. I have used bag of word approach, including other numerical variables, I would say around 100 in total. 1) How do you select the optimal amount of word to include in the Bag of words? 2) How do you optimizes the number of nodes the number of trees in the RF model? 3) Is it possible to build a maximization problem in R? to: max(AUC): by changing the number of tree and nodes, or by changing the number of factors? Subject to: AUC > 0, n of trees > 0, nodes > 0, n of factors > 0 Many thanks for your answers.",0,None,29,Tue Apr 21 2015 08:02:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13557,/competitions/15-071x-the-analytics-edge-competition-spring-2015,550th
/nalinpasricha,How to get probabilities from svm,"I am trying to use support vector machines using the e1071 package. I have used the following code but it is just giving a binary 0 or 1 output. How do I get probabilities ? svm = svm(Popular~.,data=train,probability=TRUE)pred<-predict(svm,test,type=""prob"")",1,None,7,Tue Apr 21 2015 08:22:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13558,/competitions/15-071x-the-analytics-edge-competition-spring-2015,218th
/ssen26,Variable Importance,"There are 93 variables for building the model, feat_ 1 to feat_93 . I am wondering if we can reduce the number of variables , or can drop unnecessary variables. So the problem is how to check which variables are not important. Can you please suggest a good method. Thanks in advance.",0,None,2,Tue Apr 21 2015 09:19:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13559,/competitions/otto-group-product-classification-challenge,3204th
/chevli,Ambiguous field MISSING_DATA,"Description of the field is clearly mentioned in data page as following: MISSING_DATA: (Boolean) It is TRUE when the GPS data stream is complete and FALSE whenever one (or more) locations are missing Well variable name is very ambiguous, it should be true when data was missing and false for complete. Also trainset initial exploration tells that there are only 10 records where GPS data was complete. trainSet.MISSING_DATA.value_counts() False 1710660 True 10 My question is, For trainset in case of missing gps data should we assume that last lat-lon pair is destination?",0,None,2,Tue Apr 21 2015 10:12:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13560,/competitions/pkdd-15-predict-taxi-service-trajectory-i,46th
/shriram3nerkar,Database_of_Messidor,"I have downloaded database form this link [Link]:http://messidor.crihan.fr/download-en.php done feature extraction by using ( feature extraction steps in chapter 3) RoyChowdhury Thesis (https://conservancy.umn.edu/ handle/11299/167433). Now I want to apply proposed classification methodology as attachment. It contains LOO with normalization of dataset. any one can put simple classification algorithms SVM , logistic Regression, Random forest in R or MATLAB currently I applied it weka Thanking you, [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/72880/2340/final_DR_base11.csv",0,None,1,Tue Apr 21 2015 10:17:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13561,/competitions/diabetic-retinopathy-detection,None
/del=66b487b5ec8ae8ed,"Blank Fields in NewsDesk, SectionName, SubsectionName","When I have blank fields, I was used to solve the problem in this way, for example: which(NewsTrain$NewsDesk=="""") and then NewsTrain$NewsDesk[c(1,2,3)] = ""Generic Name"" but now the numbers of values in the are so much that I can not compile all the 1846 position of NewsDesk for example. Any suggestion?",0,None,4,Tue Apr 21 2015 11:05:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13562,/competitions/15-071x-the-analytics-edge-competition-spring-2015,790th
/vegaonline,Submission Error,"Hi ! I am getting submission error saying ""Prediction"" column not found while the submission csv file header is ""Id,Prediction"" and columns are in ""%d,%0.1f"" format. It failed twice. Any handle?",0,None,3,Tue Apr 21 2015 11:05:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13563,/competitions/restaurant-revenue-prediction,2116th
/prateekjoshi,"Can we really impute the missing values in Section,newsdesk and Subsection variables correctly using mice",I am just curious as to the correctness of mice imputation on the above mentioned variables and its effect on the overall model.,0,None,60,Tue Apr 21 2015 13:17:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13564,/competitions/15-071x-the-analytics-edge-competition-spring-2015,735th
/lmatias,Welcome!,"Dear competitors, This is the first of two competitions that are being launched by the Discovery Challenge on ECML/PKDD 2015. The second competition (on travel time prediction) will be launched in the next couple of days. In this competition, we challenge you to build a learning framework able to predict the final destination of 320 taxi trips based on their partial trajectories. Naturally, you are more than welcome to submit your solution if you are compliant with our rules. At the best of our knowledge, this is the first competition on Kaggle to use GPS coordinates on the target variable. Winners or not, the most important is to participate and to enrich your knowledge about this type of problems. We also expect to see you all at the ECML/PKDD workshop to have place at Porto, Portugal (7-11 September). Good luck to you all! The ECML/PKDD Discovery Challenge organizing committee, Luis Moreira-Matias",2,None,3,Tue Apr 21 2015 14:23:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13566,/competitions/pkdd-15-predict-taxi-service-trajectory-i,None
/dulyanov,TotalHash,"I saw instant peaks at [Link]:http://totalhash.com/ Query Load plot during last month, curious if it was someone among the participants :) Just interesting what exactly you did and was that successful or not.",0,None,3,Tue Apr 21 2015 14:24:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13567,/competitions/malware-classification,3rd
/abhishek,Beating the Benchmark ;),"Hi All, After Otto challenge, this is my benchmark model for ECML/PKDD 2015. The script uses first and last but one latitude and longitude values. I know I have mixed up the names while creating the training set, but they are corrected for submission file. The script is in python and I have commented several blocks of code. So, it should be easy to understand. In case of any doubts, feel free to ask here. LB Score: < 3.17 (Better than my current score) [Unverified] Vote Up, if this helped you in any way! Enjoy! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/72910/2342/benchmark.py",25,gold,18,Tue Apr 21 2015 14:26:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13568,/competitions/pkdd-15-predict-taxi-service-trajectory-i,219th
/pedro1897,A couple of ideas you might want to try,"This is especially for those who are already well above AUC 0.90, and trying to squeeze out the last bits of information from the training set: 1) Create your own basic ensembles - if you have a RF and a LR model, you can (and probably should) try to combine them. You may start with a simple average of the predictions, and then perhaps give more weight to one or another. Ensembles are often very powerful - the combined performance is substantially better than any of the individual models; 2) Look deeper into the text variables - using the corpus from HeadLine, the models knows the word ""new"" and the word ""york"", but, unlike you,it has no idea of what ""new york"" is. You can use the grepl function in R to find words, expressions, or even full sentences. Who knows if some of these n-grams (this is how they're called) are well correlated with the article popularity? If you have other ideas, please share them! I'd like to try them too.",11,silver,10,Tue Apr 21 2015 14:40:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13569,/competitions/15-071x-the-analytics-edge-competition-spring-2015,139th
/jerrylin,Dimension reduction?,"I am trying to apply PCA or LDA to the original data set in order to reduce the dimensionality. But the model build on the reduced dataset is bad actually. Anyone who have idea on this part please provide some hints, thanks so much!",0,None,2,Tue Apr 21 2015 15:31:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13570,/competitions/otto-group-product-classification-challenge,None
/markdrummond,Model benchmarks,"I don't think this would defeat the purpose of the competition but maybe staff can offer their position. As a relative newcomer, I would find it valuable to have some idea of ""good"" results for various models. E.g., the best I have managed so far with logistic regression is 0.81607. I realize from other forum posts that other models will perform better, but I am interested to know whether this is a good result for a logistic regression on this problem. I suppose this might drive everyone to a similar solution, but that seems to be happening anyway. At a glance it seems most people are converging on a random forest.",0,None,27,Tue Apr 21 2015 15:37:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13571,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1404th
/subhrajit,GradientBoostingClassifier in sklearn. Is same feature used multiple times in the same tree ?,"Hello. In the tree based methods, a feature is used to split the dataset. I think it would be useful to try to use the same feature more than once in the same tree. So for example, maybe the root node of the tree splits the dataset based on the function (feature[i] > 20). The child node of the root node might split based on the function (feature[i] < 10). So feature[i] is being used twice in this case. Can anybody confirm whether GradientBoostingClassifier in sklearn reuses features in the same tree ? If yes, and some parameter needs to be turned on for reuse, please can someone provide the parameter and required value ? If not, are there other implementations that have this feature ? Many thanks.",0,None,2,Tue Apr 21 2015 15:55:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13572,/competitions/otto-group-product-classification-challenge,608th
/pierregutierrez,Julian Timestamp ?,Seems to me that it is in fact a Unix Timestamp.,4,bronze,3,Tue Apr 21 2015 16:32:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13573,/competitions/pkdd-15-predict-taxi-service-trajectory-i,132nd
/zygmunt,3D visualization of the training set,"People demanded a 3D PCA visualization of the training set, so here it is: http://data-projector-visualizations.sourceforge.net/otto/ Please don't use it to get any unfair advantage in this competition. Note that: it takes at least 12 seconds to load: the data file is 5MB and the bandwidth is capped at 400kB/s you can turn individual classes on and off in the clusters menu on the left Info about the method: http://fastml.com/interactive-in-browser-3d-visualization-of-datasets/",31,gold,11,Tue Apr 21 2015 18:47:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13575,/competitions/otto-group-product-classification-challenge,None
/mdershewitz,Why does this corpus function behave differently for me than in the Bag of Words example?,"Below is the screen printout of my R Console when doing one of the early steps in the corpus preprocessing. Unfortunately what this seems to do is add an extra [1] character as well as quotes around the text. That is not what seems to happen in the Unit 5 Video 5. Also, this inclusion of the [1] seems to be what later on hurts my documenttermmatrix and makes it unusable. Any ides on what I am doing wrong here? Thanks to all. > corpus = Corpus(VectorSource(blogdata$Headline))> corpus[[1]]<<PlainTextDocument (metadata: 7)>>More School Daze> corpus = tm_map(corpus, tolower)> corpus[[1]][1] ""more school daze""",0,None,2,Tue Apr 21 2015 19:45:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13576,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1718th
/richardepstein,GPU recommendations,"Kagglers, I was thinking of getting a GPU to speed things up. A few quick questions: As luck would have it, none of my computers have a CUDA or OpenCL capable GPU. So I was going to buy a new card (PCIex16 card slot on an HPxw8600 workstation running Windows 7). I'm running Lasagne/Theano. I'm not sure which of the other machine learning tools can make use of the GPU. 1. I presume the new GPU takes the place of my existing video card. I presume I can use it as a regular video card while I am doing processing on it (maybe at degraded performance). 2. What type of speed up will I see? I currently have a quadcore i7 running. Most of the machine learning tools look like they can use all four cores. 3. I'm looking to spend around $100-$200 (since this is just to play around with). Is that realistic? Is NVIDIA the way to go? How much support for OpenCL is out there? 4. Is the NVIDIA Geforce 550 Ti a reasonable way to go? Thanks in advance.",2,None,9,Tue Apr 21 2015 19:55:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13577,/competitions/otto-group-product-classification-challenge,139th
/ebrucecfa,Library tm behaves badly for me on Ubuntu Linux,"Probably impacts a small audience but thought I would post for posterity. tm pre-processing takes forever on my Linux machine (like run overnight) but runs very quickly on my Win 7 machine. CorpusHeadline = Corpus(VectorSource(c(NewsTrain$Headline, NewsTest$Headline))) # standard pre-processing steps # Hangs up on LinuxCorpusHeadline = tm_map(CorpusHeadline, stemDocument) The above take hours to process on my Linux Desktop which is a powerhouse machine. It runs within seconds on my much less powerful Win 7 machine at work.",0,None,9,Tue Apr 21 2015 20:11:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13578,/competitions/15-071x-the-analytics-edge-competition-spring-2015,588th
/awitong,Error in match.arg(type) ,"I am getting this error while trying to predictTest: predAbs1=predict(AbsCART,newdata=AbsTest,type=""response"") Error in match.arg(type) : 'arg' should be one of “vector”, “prob”, “class”, “matrix Can someone please advise as to what I am doing wrong? When I removed the last argument , it goes through or if I use ""type=class"" which I think is the wrong thing to do .. But seems to work",0,None,5,Tue Apr 21 2015 20:28:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13579,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1035th
/mron0210,Random Forest - cannot handle categorical predictors ,"Hello Team, I am stuck in the initial stages trying to get the random forest to work with the data. I keep getting the cannot handle categorical predictions error. I have looked at the other posts and tried a few things, but nothing seems to resolve it. trainRF <- randomForest(as.factor(Popular)~ ., data=NewsTrain) Error in randomForest.default(m, y, ...) : Can not handle categorical predictors with more than 53 categories. I am new to machine learning and this is my first kaggle competition. So I am pretty sure I might be missing something basic here. Can experience folks please chime in and help me get past this error. thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/73000/2344/RandomForest2.R",0,None,6,Tue Apr 21 2015 20:31:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13580,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2041st
/markdrummond,"More ""factor X has new levels Y"" challenges","This error is pretty aggravating. Is there some way to tell R to stop dropping levels? I have the following: words is my previously created DTM: words <- as.data.frame(as.matrix(dtms))colnames(words) <- make.names(colnames(words)) I add NewsDesk etc. as factors: words$NewsDesk <- as.factor(c(train$NewsDesk, test$NewsDesk))words$SectionName <- as.factor(c(train$SectionName, test$SectionName))words$SubSectionName <- as.factor(c(train$SubsectionName, test$SubsectionName)) Split words into the training and testing sets: words_train <- head(words, nrow(train))words_test <- tail(words, nrow(test))words_train$Popular <- train$Popular Then, for my own testing purposes, I split words_train into two data sets so I can do some validation prior to building and submitting a solution: spl <- sample.split(words_train, SplitRatio = 0.7)words_validation <- subset(words_train, spl == F)words_train <- subset(words_train, spl == T) Predictions on words_train works just fine, but a prediction on words_validation fails with: factor NewsDesk has new levels Sports But both words_train and words_validation have the exact same levels! > levels(words_validation$NewsDesk) [1] """" ""Business"" ""Culture"" ""Foreign"" ""Magazine"" ""Metro"" [7] ""National"" ""OpEd"" ""Science"" ""Sports"" ""Styles"" ""Travel"" [13] ""TStyle"" > levels(words_train$NewsDesk) [1] """" ""Business"" ""Culture"" ""Foreign"" ""Magazine"" ""Metro"" [7] ""National"" ""OpEd"" ""Science"" ""Sports"" ""Styles"" ""Travel"" [13] ""TStyle"" > Does the action of splitting the data set using sample.split and subset as above cause levels to be dropped? I have tried to ""re-level"" those three features and I still get the same error.",0,None,13,Tue Apr 21 2015 22:09:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13581,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1404th
/sarahc7,caret glm with cross validation confusion,"Hi, I am trying to run a glm model with cross validation using caret. The issue I am having is that if I use either glm() or caret's model=""glm"" with either cv or repeatedcv, I get exactly the same results no matter what parameters I change. My test code is below: --------------------------- train = read.csv(""train.csv"", stringsAsFactors=FALSE) train$Age[is.na(train$Age)] = 29.70 formula = Survived ~ Pclass + Sex + Age + SibSp + Parch + Fare + Embarked # use glm() no cross validationmodelLog = glm(formula, data=train, family=binomial)PredTrain = predict(modelLog, newdata=train, type=""response"") table(train$Survived, PredTrain > 0.5) library(caret) # use caret's glm with cross validationtrain_control = trainControl(method=""cv"", number=5)modelLog = train(formula, data=train, method=""glm"", family=binomial, trControl=train_control)PredTrain = predict(modelLog, newdata=train, type=""raw"") table(train$Survived, PredTrain > 0.5) # use caret's glm with repeated cross validationtrain_control = trainControl(method=""repeatedcv"", number=5, repeats=5)modelLog = train(formula, data=train, method=""glm"", family=binomial, trControl=train_control)PredTrain = predict(modelLog, newdata=train, type=""raw"") table(train$Survived, PredTrain > 0.5) -------------------------- My output is always FALSE TRUE 0 474 75 1 102 240 -------------------------- Even if I change the value of the parameters in trainControl, it's always the same. Would anyone know what's going on? I've even tried the above code on other data sets, and the accuracy for cv or repeatedcv doesn't change relative to standard glm(). Thanks for any help. Sarah",1,None,1,Wed Apr 22 2015 01:14:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13582,/competitions/titanic,None
/benhamner,Kaggle Scripts Header Redesign,"Myles and Jamie just redesigned the header for scripts, making upvotes and forks far clearer. Let us know what you think! [Link]:https://www.kaggle.com/users/993/ben-hamner/digit-recognizer/rf-proximity ps. ""see who voted for this script"" is coming back - we're currently working on implementing that in the new design",2,bronze,2,Wed Apr 22 2015 02:14:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13584,None,None
/benhamner,Share your Scripts & Visualizations,"We've enabled [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/scripts on this competition, which enables you to easily run R/Python scripts on the otto data and showcase your results. Here's a taste of scripts created on this competition so far: [Link]:https://www.kaggle.com/users/6603/tks/otto-group-product-classification-challenge/class-wise-feature-importance [Link]:https://www.kaggle.com/users/6603/tks/otto-group-product-classification-challenge/class-wise-feature-importance [Link]:https://www.kaggle.com/users/993/ben-hamner/otto-group-product-classification-challenge/t-sne-visualization [Link]:https://www.kaggle.com/users/993/ben-hamner/otto-group-product-classification-challenge/t-sne-visualization [Link]:https://www.kaggle.com/users/993/ben-hamner/otto-group-product-classification-challenge/random-forest-benchmark-r [Link]:https://www.kaggle.com/users/993/ben-hamner/otto-group-product-classification-challenge/random-forest-benchmark-r This is a feature that we're actively developing - let us know what you think! Some changes that are coming soon include Enabling you to submit the output of a script to a competition without downloading it Showcasing scripts you've created on your Kaggle user profile",37,gold,13,Wed Apr 22 2015 04:50:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13585,/competitions/otto-group-product-classification-challenge,2482nd
/songyanncsu,How to use the unlabelled training data?,Why do we have an unlabelled training data? Thanks!!,3,bronze,2,Wed Apr 22 2015 07:13:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13587,/competitions/word2vec-nlp-tutorial,None
/fmengiste,for submissions i get a 3rd column,"I am trying to submit my work but I keep getting a 3rd column besides uniqueID and probabilities. UniqueID Probability1character(0) 6533 0.03616134character(0).1 6534 0.03616134character(0).2 6535 0.93877551 this is the str() of the prediction function Named num [1:1870] 0.0362 0.0362.. - attr(*, ""names"")= chr [1:1870] ""character(0)"" ""character(0).1"" ""character(0).2"" ""cha can anyone please tell me what it is and how to get rid of it",0,None,2,Wed Apr 22 2015 08:18:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13589,/competitions/15-071x-the-analytics-edge-competition-spring-2015,110th
/documentalist,Machine requirements question,"Hello all, I am new here on Kaggle and wanted to pose the following question: The benefit of good knowledge of data-anlysis and data-science is becoming more and more apparent every day. I would like to explore this area of knowledge and skills to educate myself in this subject. Currently I am also looking to invest in a new laptop on which I can work through online courses and learning environments such as here on Kaggle. Is there an indication of what to focus on in terms of machine requirements when buying a laptop to run tools like R, Hadoop, Python, etc. in combination with large(r) datasets? For instance is it more important to have a fast, multi-core processor or would the software only use 1 core at a time anyway, making the CPU less important. Or should I focus more on having larger amounts of RAM to store computational data. How about disk storage, would it make sense to invest in an SSD for faster reading of data or not? Sorry for the multitude of questionmarks in this post and thanks in advance for any input on this subject.",1,None,8,Wed Apr 22 2015 08:29:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13590,None,None
/wildwizard,Which way to take to become industry worthy?,"Hello Good People of Kaggle I try to level this for being ""industry proficient"" level, as for now, while I am pretty good at what I am doing (Bioinformatics in Data Science, I achieved pretty good results for 2 years), I still lack advanced programming skills and it prevents me from evolving. But the choices are numerous and I don't know what way to take. I should hone my maths and it's on it's way (followed linear algebra course on Khan Academy, now I am wondering what should I go for, then maybe I will look for other similar courses for related topics for ML, or ML courses like Andrew Ng's). But for coding, I don't know what to do: is knowing both R and Python necessary? Having at least one seems to be mandatory these days, but what can I get from having both? Is it better to be expert at one or good at both? I think there's quite an overlap that mean that I would not need to use both. But I don't know what would think those people who use both? Also, what about perl, sql, ruby or tools like hadoop or SAS? (apart Ruby, I can't really find interactive ressources for those, makes me wonder if there's a demand ?) I am wondering about codecademy hack, hackety, programmr, treehouse, or udacity, and the quality of paid courses. Are they good enough to make you really proficient? If I pay, I should be proficient in my choices, so what are the best to take? I am beginner-intermediate in java (IOs and data manipulation fine, but no cue going graphics or interfaced with web or database), and a beginner in C++; R; Python. For maths, I can stick to MOOC like Khan Academy, EdX and Harvard online courses, but for coding, I think I should go for interactive frameworks Thanks by advance for your help",0,None,1,Wed Apr 22 2015 09:24:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13591,None,None
/mike21169,How to combine the corpus of 'headline' and 'snippet' for random forest model,"I've been creating models that have variables and the corpus of either headline or snippet, but how would I combine two corpus dtm's into one dataframe with the other variables?",0,None,1,Wed Apr 22 2015 10:53:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13607,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1875th
/mahmadi,How do you select your final submissions ?,The worse thing is that when you had a submission with 0.006372810 on 100% test and 0.013446799 on 30% test and you ignore that one. And select a submission with 0.008952000 on 30% test and achieve 0.013633932 on 100 test :-D. How do you usually select your final submissions ?,0,None,2,Wed Apr 22 2015 11:33:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13609,/competitions/malware-classification,49th
/faridunodilov,Question on stemming words - Porter vs tm() algorithm,"I did essential text mining of ABSTRACT field in excel, trying to mimic those actions in tm library (yes you can do almost everything, but it took me 4-5 hrs to get it done, lots of steps). I even implemented stemming algorithm of Martin Porter for Visual Basic (copied the code into new module of VBA editor of Excel). After running the frequency check with Popular variable, I noted down some stems which more frequent in POPULAR=1 articles (if any of you know how to do such thing in R let me know, in Excel is just toooo many steps, something like: table(Stems, train$Popular) Anyway, one of such POPULAR stem was obamacar, i compared this list with the one sparsed dtm done by tm, but only found as frequent stems obama, care but not obamacar. So stemming algorithms in tm and Martin Porter are different. I know there is SnowBallC library, but it only does one word at a time. How can be apply Martic Porter stemming for our corpus of bagwords? PS. I used Excel as at work I cannot use R, but I wanted to examine the words in ABSTRACT field",0,None,1,Wed Apr 22 2015 11:57:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13611,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1100th
/nr7116,ensemble and scoring,"While working on the syntax of glmnet, I had no submissions, so I decided to use up the daily limit of 5 by submitting combinations of logit + rf. I started with simple one suggested by @noodle in one of the posts : (logit + rf)/2 - this improved my score. Then I decided to try higher weitage to logit as it was independently performing better - I had a typo in this attempt: (0.6*logit + 0.4*rf)/2 - notice I forgot to remove divisiton by 2. This still got me better score. Once I realized the typo and fixed it, I got exactly same score. Then I varied logit weight from 0.6 to 0.9 and score kept improving! wtl*logit$Probability1 + (1-wtl)*rf$Probability Either I'll get penalized when full data is used or I'll rot in hell. Or maybe all my predictions > 0.5 are junk and not contributing to auc. would like to hear more views.",0,None,15,Wed Apr 22 2015 14:24:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13612,/competitions/15-071x-the-analytics-edge-competition-spring-2015,123rd
/shashankc,Can we use tools like WordNet?,"Hi This is my first Kaggle Competition. I was curious about which tools we can use in feature generation for NLP problems like these. I know we can use stop word lists and stemmers. I'm curious about where we need to stop using existing tools. E.g. WordNet provides some relationships between words, that cannot be inferred from the training data. In the past, have people used WordNet for other problems?",1,None,2,Wed Apr 22 2015 17:35:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13613,/competitions/word2vec-nlp-tutorial,54th
/agus1153916,Anaconda Spyder Intellisense/Autocomplete ,"Hi guys, how are you? I'm beginning with kaggle's competitions and with python, I'm using Spyder 2.3 with Python 3.4 ( from Anaconda). Anyone is using this IDE? there is a problem with the intellisense in the editor panel? I need to wait a long time before its shows... If this is not just my computer I think I'll looking for other IDE :P Thanks!",0,None,4,Wed Apr 22 2015 18:38:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13614,None,None
/yunfengxi,Deprecation Warning,"When you run the tutorial word2vec code, have you guys run into this warning? -c:46: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future I googled this issue, it does not affect the result, but it is annoying every time I run it on ipython notebook. Do you know how to remove it? I already changed suspicious float type to int. It is not gone.",0,None,1,Wed Apr 22 2015 18:43:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13615,/competitions/word2vec-nlp-tutorial,64th
/ashhafez,Kaggle Feature Requests?,"Hi all - Not sure if this is the best place to send in feature requests, so please point me in the right direction if there's an alternative location, but couple of things I think might be useful - On the leaderboards, something to designate where the Kaggle Masters are (different row color, or icon or something). Useful for comps where there's likely to be a large re-shuffle between public/private leaderboard, for new people to gauge if they're potentially overfitting relative to the more experienced Kagglers - A chat room kind associated with each comp, that's approved by the admins, as a place to promote dialog a bit more freely than posting a forum topic. I realize this won't be as sticky or SEO-friendly as a perm forum post, but it would definitely add to the community feel thanks! ash",4,bronze,6,Wed Apr 22 2015 18:50:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13616,None,None
/wally007,Problem in predictive modelling ,"Dear all, Where cbindWords is the combined data frames of (Headlines, Abstract) , and then I split the data into Training/Test Sets as previosuly suggested in forum which is working mostly fine with majority of you. I have been trying for DAYS but still not making any progress in setting out a workable predictive model. Discussion of accuracy is something too luxury to say on my end. What could possibly go wrong here? oh ( tried with& without the method = class). I struggle really really need some HELP, Thank you! cbindWords = head(cbindWords, nrow(NewsTrain))> cbindWordsTrain = head(cbindWords, nrow(NewsTrain))> cbindWordsTest = tail(cbindWords, nrow(NewsTest)) 1, CART Attempt> library(rpart)> library(rpart.plot) > cbindWordsTrain$Popular = NewsTrain$Popular> wordCART = rpart(Popular ~, PubDate + WeekDay + Headline + Abstract, data=cbindWordsTrain, method=""class"")Error: unexpected ',' in ""wordCART = rpart(Popular ~,"" 2, RandomForest Attempt > cbindWordsTrain$PubDate = NewsTrain$PubDate> cbindWordsTrain$WeekDay = NewsTrain$WeekDay> cbindWordsTrain$Headline = NewsTrain$Headline> wordRF = randomForest(Popular ~ PubDate + WeekDay + Headline + Abstract, data=cbindWordsTrain)Error in eval(expr, envir, enclos) : object 'WeekDay' not found> wordRF = randomForest(Popular ~ PubDate + Headline + Abstract, data=cbindWordsTrain)Error in eval(expr, envir, enclos) : object 'Abstract' not found> wordRF = randomForest(Popular ~ PubDate + Headline, data=cbindWordsTrain)Error in model.frame.default(formula = Popular ~ PubDate + Headline, data = cbindWordsTrain, : invalid type (list) for variable 'PubDate'",0,None,1,Wed Apr 22 2015 19:08:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13617,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1624th
/patrickwilliams,Titanic: scored 0.00 after trying logistic regression,"Hi Everyone. First time posting here. I am trying out logistic regression after getting to .7799 using Random Forest through the Python tutorials and a newcomer to Python. When I submit the output of the logistic regression script, even though the output CSV file is very similar to the Random Forest CSV file, I get a score of 0.00. Anyone have a possible explanations for this? It seems like even at random I should have above a score of zero. Edit 1: Only only using gender to categorize survival. Trying to keep it simple. Edit 2: I was able to get it working properly by running the script again and changing the order that 'Survived' and 'PassengerId' appear (Survived had to come first). Not sure if this really fixed it, or if it was something else, as I've successfully submitted other results with the opposite column order. Patrick",0,None,3,Wed Apr 22 2015 19:26:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13618,/competitions/titanic,None
/gregbecker,External data,"The competition rules state there is to be no use of external data (which BTW - seems incredibly foolish if you're actually looking for a better mousetrap) , but I'm wondering if the use of a fiscal calendar xref qualifies? Given the likely influence of historical replenishment processes which would be influenced by key fiscal date events, Id like to identify & classify these dates using the Walmart fiscal calendar. It has not been provided in the datasets, but is readily available online and in and of itself is not actually external data. Would incorporating this qualify as external data and violate the rules?",0,None,4,Wed Apr 22 2015 19:33:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13619,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/all16universes,Neural Nets in lasagne; multi-class logloss,"Hello everyone, I've been playing around with neural networks lasagne. I started off using the code found [Link]:http://nbviewer.ipython.org/github/ottogroup/kaggle/blob/master/Otto_Group_Competition.ipynb. As is, it performed very well. I decided to start playing around with it, changing various parameters, etc. I spent quite a bit of time trying to improve it. The score on the validation set had improved, so I made another submission. Surprisingly, the model was considerably worse. The logloss function I've been using was accurate for the random forest models I've submitted, but it failed completely with the neural net models. For those of you using neural nets (especially those using lasagne), how are you measuring logloss on validation sets? I'm new with neural nets, so I may be overlooking something very simple here. Thanks in advance!",0,None,4,Wed Apr 22 2015 21:01:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13620,/competitions/otto-group-product-classification-challenge,285th
/dominik7,Joke ?,I used logistic regression using 4 most common sense variables and effect is AUC more than 0.9 and so far I am 500 out of all scores. 10 minutes of work with breaks for you tube video :P If that will give me more than 1 point in this course this will be by far easiest earned points. Do you feel the same ?,1,None,2,Wed Apr 22 2015 22:50:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13626,/competitions/15-071x-the-analytics-edge-competition-spring-2015,766th
/oconnoda,Useful R Command,"Having feedback on your model is important. Here is a command I wrote to make it easy to see how your model is doing when you test it. There is also the confusionMatrix command in the caret package if you don't like this one. conf.matrix = function (outcomes,predictions,cutoff) { require(ROCR) if (class(predictions) == ""factor"") { auc=NA t = table(outcomes,predictions) } else { auc = performance(prediction(predictions,outcomes),""auc"")@y.values[[1]] t = table(outcomes,predictions=predictions >= cutoff) if (cutoff > max(predictions)) { t = cbind(t,""TRUE""=c(0,0)) } else if (cutoff < min(predictions)) { t = cbind(""FALSE""=c(0,0),t) } } acc = (t[1,1] + t[2,2]) / length(predictions) sen = t[2,2] / (t[2,1] + t[2,2]) spec = t[1,1] / (t[1,1] + t[1,2]) baseline.accuracy = max(t[1,1]+t[1,2],t[2,1]+t[2,2])/length(predictions) list(confusion.matrix=t, metrics=c(sensitivity=sen,specificity=spec,accuracy=acc,baseline.acc=baseline.accuracy,auc=auc))}",6,bronze,5,Wed Apr 22 2015 22:58:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13627,/competitions/15-071x-the-analytics-edge-competition-spring-2015,71st
/datacanary,Python environment for Kaggle Scripts,"Howdy everyone, I hope you're enjoying the new Scripts feature that we've enabled on [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/scripts, [Link]:https://www.kaggle.com/c/titanic/scripts, [Link]:https://www.kaggle.com/c/forest-cover-type-prediction/scripts and [Link]:https://www.kaggle.com/c/bike-sharing-demand/scripts so far. If you're working in Python, please post any package requests etc here. I'll be looking after the Python environment that we provide, and I'd love to hear any suggestions you have! The docker image is maintained via a public [Link]:https://github.com/Kaggle/docker-python and [Link]:https://registry.hub.docker.com/u/kaggle/python/.",8,bronze,62,Wed Apr 22 2015 23:16:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13628,None,None
/jiweiliu,test set doesn't have NumMosquitos ,Is it supposed to be like this?,0,None,2,Thu Apr 23 2015 00:13:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13629,/competitions/predict-west-nile-virus,37th
/dchudz,Script Mapping Mosquito Counts on 2007-08-01,I like visualizing data on maps so I've been enjoying playing around with the data for this competition. Here's [Link]:https://www.kaggle.com/users/3716/davidchudzicki/predict-west-nile-virus/map-of-mosquito-counts-on-one-day where I got started by looking at the number of mosquitos found at each site on one particular day (the day with the most sites measured in the training data). I'm looking forward to seeing what other maps people share in our scripts feature. The data behind the map (copyright Open Streetmap Contributors) is available as an input data set to scripts. You can use [Link]:https://www.kaggle.com/users/3716/davidchudzicki/predict-west-nile-virus/map-of-mosquito-counts-on-one-day as an example of how to load the data and use ggmap to conveniently visualize with the map as a background. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74122/2456/Rplot002.png,3,bronze,2,Thu Apr 23 2015 00:18:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13630,/competitions/predict-west-nile-virus,1220th
/annavictoria,Scripts for Kaggle Swag (New Prizes!),"In case you didn't notice, we've added something new to this competition's [Link]:https://www.kaggle.com/c/predict-west-nile-virus/details/prizes. Scripts for Swag is our way of rewarding authors who contribute the best visualizations and code for this competition on [Link]:https://www.kaggle.com/c/predict-west-nile-virus/scripts, as up-voted by the community. The authors of the 3 most up-voted Scripts for this competition will get their choice of an official Kaggle hoodie, t-shirt, or mug! I'll try and snap some pictures of our swag in the wild, but in the meantime have fun exploring and collaborating on this awesome dataset!",12,gold,13,Thu Apr 23 2015 00:37:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13631,/competitions/predict-west-nile-virus,None
/fchollet,"Achieve 0.48 in 5 min with a deep net (feat. BatchNorm, PReLU)","Hi there, Here is some starter code to get 0.48-0.49 using the Python-based deep learning library Keras. The model is very basic, but it features two recent advances: batch normalization and parametrized rectified linear units. These two techniques have pushed the state of the art on ImageNet in the past few months [1] [2] Get Keras here: https://github.com/fchollet/keras Get the starter code here: https://github.com/fchollet/keras/blob/master/examples/kaggle_otto_nn.py On a EC2 g2.2xlarge instance, training takes 19s/epoch, or 6-7 minutes total. It will be below 5 minutes on a modern GPU. The best validation score is obtained at epoch 21: 0.4881 (on a random 15% sample of the data). Training on all the data will get you a better LB score. Try it: - with/without BatchNormalization (BatchNormalization helps!) - with ReLU or with PReLU (PReLU helps!) - with smaller layers, largers layers - with more layers, less layers - with different optimizers (SGD+momentum+decay is probably better than Adam!) I expect you can get to a very good score with a very deep net of relatively narrow layers trained with SGD (haven't tried it, it's just my intuition). Important note: if you star Keras on Github, the deep learning spirits will grant you good luck and protection against overfitting. If you don't, the deep learning spirits will curse you with pathological gradients. [1] http://arxiv.org/pdf/1502.03167v3.pdf [2] http://arxiv.org/pdf/1502.01852v1.pdf",66,gold,88,Thu Apr 23 2015 00:38:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13632,/competitions/otto-group-product-classification-challenge,None
/dchudz,R Environment for Kaggle Scripts,"Hi! We've now enabled the new Scripts feature on a few competitions so far ( [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/scripts, [Link]:https://www.kaggle.com/c/titanic/scripts, [Link]:https://www.kaggle.com/c/forest-cover-type-prediction/scripts, [Link]:https://www.kaggle.com/c/bike-sharing-demand/scripts [Link]:https://www.kaggle.com/c/predict-west-nile-virus/scripts). If you're working in R, let me know if there's anything I can do to make that environment better for you. Please post any package requests etc. here or even better, make pull requests to the public [Link]:https://github.com/Kaggle/docker-r that controls our Docker image build. I'll be looking after the R environment that we provide, and I'd love to hear any suggestions you have! You can also look at the [Link]:https://registry.hub.docker.com/u/kaggle/r/ and pull the image to work with locally if you want.",2,bronze,4,Thu Apr 23 2015 01:50:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13636,None,None
/derekzh,Anyone using Factorization Machine for this competition?,"Hi Kagglers, as looking at interaction seems to be important, I tried to apply LibFM to the problem, as it looks at interactions automatics. But I wasn't able to get remotely good results - LB 0.60 is the best I got. I was wondering if anyone else has used it on this data set? If not, what would be your thoughts on the in-applicability of the algorithm?",0,None,1,Thu Apr 23 2015 02:11:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13637,/competitions/otto-group-product-classification-challenge,160th
/rodr1331116,Neither of my two submissions seem to have gone through,and yet I show I've used four today...,0,None,1,Thu Apr 23 2015 02:31:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13638,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1296th
/binghsu,XGBoost Start Code (Python) with Score 0.690,"I have made a lot of starter guides, I wish I can get a small gift this time :D The running time on my laptop is similar to having 3-inch subway. The score should be 0.690 The idea is simple: Find most near (and second near) place's mosquito number, together with the geo info, weather and date as feature. URL: [Link]:http://www.kaggle.com/users/43581/bing-xu/predict-west-nile-virus/xgboost-starter-code-python-0-69 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74151/2354/xgb.py",12,gold,4,Thu Apr 23 2015 03:39:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13639,/competitions/predict-west-nile-virus,998th
/aidangawronski,Caret,"Everyone here using python? or anyone using R, specifically the caret package?",0,None,5,Thu Apr 23 2015 03:42:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13640,/competitions/random-acts-of-pizza,297th
/mlandry,Logistic Regression Starter Script in R (0.65253),"This was a fun opportunity to play with the Kaggle Scripts module. The ""Starter Logistic Regression in R"" Script will create a submission file for you that scores 0.65. Nothing fancy--just three columns, in fact. This could surely be combined with the XGBoost features to get something better than both. But hopefully it's enough to get people started, as it's just day 1.",11,gold,4,Thu Apr 23 2015 04:12:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13641,/competitions/predict-west-nile-virus,62nd
/huibers,Beat the benchmark with SQL,"Break out of the pack and score 0.639 with the power of SQL! This code makes a prediction using the probability of detection for any trap over its history. Look-ahead bias is ignored. Just run this one-liner at the linux command line. csvsql --query ""select Id, ifnull(pWnv,0) as WnvPresent from test te left join (select Trap, sum(WnvPresent)*1.0/count(*) as pWnv from train group by Trap) tr on te.Trap=tr.Trap"" test.csv train.csv > submission.csv Learn more about csvsql and csvkit here: https://pypi.python.org/pypi/csvkit",16,gold,5,Thu Apr 23 2015 04:29:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13642,/competitions/predict-west-nile-virus,1066th
/rsk2327,Teammates for new challenge,I am planning on participating in the West Nile Virus detection challenge and I'm looking for teammates to work with on this challenge. Interested people can reply in this thread or send me a mail at roshan.santhosh@gmail.com,0,None,2,Thu Apr 23 2015 08:00:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13708,/competitions/15-071x-the-analytics-edge-competition-spring-2015,603rd
/hdr324395,which error measure more precise?,"Hello, i had one model which had a worser CV rmse in relation to my best model and it got now a better ranking. Has someone made the same experience? Which error measure is in this competition more precise? thanks",0,None,2,Thu Apr 23 2015 09:29:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13709,/competitions/restaurant-revenue-prediction,1187th
/abedkhooli,Duplicate trap records on same day,"Are duplicate trap records several observations on the same day? We know that records could be split if trap count caps at 50, but what about records with sequential row numbers 7441-7446 (original train set, counting headers as row 1)? They all belong to Aug. 19, 2011, same location, species and trap (T900) and counts ranging from 2 to 37 (i.e. no capping).",0,None,3,Thu Apr 23 2015 12:28:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13710,/competitions/predict-west-nile-virus,409th
/raphaelfavero,Dropping from 0.9 to 0.57 when doing log transformation!,I've seen on the forum that doing a log transformation of the WordCount variable would improve the predictions of a logistic regression model. I do the following for both the training and testing set : LogWordCount = log(WordCount+1) And I then use the LogWordCount variable instead of WordCount in my logistic regression model. It does improve predictions on my train set but when i submit my predicitons for the test set I drop to 0.57... I have 0.9 with the same model without log transformation... Any idea why?,0,None,11,Thu Apr 23 2015 13:45:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13711,/competitions/15-071x-the-analytics-edge-competition-spring-2015,415th
/biczozb,Viable rapidminer solutions so far?,"Hi, does anyone able and willing to show me a viable Rapidminer solution on this? I am unable to make RM create a set of data as answer, instead of one figure (best predicted class). Can someone help? I do not need a solution for the prize, but for me to be able to create a proof of concept level thing, to get me going. This is what I have right now as a starting setup: <?xml version=""1.0"" encoding=""UTF-8"" standalone=""no""?><process version=""6.3.000""> <context> <input/> <output/> <macros/> </context> <operator activated=""true"" class=""process"" compatibility=""6.3.000"" expanded=""true"" name=""Process""> <process expanded=""true""> <operator activated=""true"" class=""read_csv"" compatibility=""6.3.000"" expanded=""true"" height=""60"" name=""Read CSV"" width=""90"" x=""45"" y=""30""> <parameter key=""csv_file"" value=""C:\Users\zbiczo\Desktop\train.csv""/> <parameter key=""column_separators"" value="",""/> <parameter key=""first_row_as_names"" value=""false""/> <list key=""annotations""> <parameter key=""0"" value=""Name""/> </list> <parameter key=""encoding"" value=""windows-1250""/> <list key=""data_set_meta_data_information""> <parameter key=""0"" value=""id.true.integer.id""/> <parameter key=""1"" value=""feat_1.true.integer.attribute""/> <parameter key=""2"" value=""feat_2.true.integer.attribute""/> <parameter key=""3"" value=""feat_3.true.integer.attribute""/> <parameter key=""4"" value=""feat_4.true.integer.attribute""/> <parameter key=""5"" value=""feat_5.true.integer.attribute""/> <parameter key=""6"" value=""feat_6.true.integer.attribute""/> <parameter key=""7"" value=""feat_7.true.integer.attribute""/> <parameter key=""8"" value=""feat_8.true.integer.attribute""/> <parameter key=""9"" value=""feat_9.true.integer.attribute""/> <parameter key=""10"" value=""feat_10.true.integer.attribute""/> <parameter key=""11"" value=""feat_11.true.integer.attribute""/> <parameter key=""12"" value=""feat_12.true.integer.attribute""/> <parameter key=""13"" value=""feat_13.true.integer.attribute""/> <parameter key=""14"" value=""feat_14.true.integer.attribute""/> <parameter key=""15"" value=""feat_15.true.integer.attribute""/> <parameter key=""16"" value=""feat_16.true.integer.attribute""/> <parameter key=""17"" value=""feat_17.true.integer.attribute""/> <parameter key=""18"" value=""feat_18.true.integer.attribute""/> <parameter key=""19"" value=""feat_19.true.integer.attribute""/> <parameter key=""20"" value=""feat_20.true.integer.attribute""/> <parameter key=""21"" value=""feat_21.true.integer.attribute""/> <parameter key=""22"" value=""feat_22.true.integer.attribute""/> <parameter key=""23"" value=""feat_23.true.integer.attribute""/> <parameter key=""24"" value=""feat_24.true.integer.attribute""/> <parameter key=""25"" value=""feat_25.true.integer.attribute""/> <parameter key=""26"" value=""feat_26.true.integer.attribute""/> <parameter key=""27"" value=""feat_27.true.integer.attribute""/> <parameter key=""28"" value=""feat_28.true.integer.attribute""/> <parameter key=""29"" value=""feat_29.true.integer.attribute""/> <parameter key=""30"" value=""feat_30.true.integer.attribute""/> <parameter key=""31"" value=""feat_31.true.integer.attribute""/> <parameter key=""32"" value=""feat_32.true.integer.attribute""/> <parameter key=""33"" value=""feat_33.true.integer.attribute""/> <parameter key=""34"" value=""feat_34.true.integer.attribute""/> <parameter key=""35"" value=""feat_35.true.integer.attribute""/> <parameter key=""36"" value=""feat_36.true.integer.attribute""/> <parameter key=""37"" value=""feat_37.true.integer.attribute""/> <parameter key=""38"" value=""feat_38.true.integer.attribute""/> <parameter key=""39"" value=""feat_39.true.integer.attribute""/> <parameter key=""40"" value=""feat_40.true.integer.attribute""/> <parameter key=""41"" value=""feat_41.true.integer.attribute""/> <parameter key=""42"" value=""feat_42.true.integer.attribute""/> <parameter key=""43"" value=""feat_43.true.integer.attribute""/> <parameter key=""44"" value=""feat_44.true.integer.attribute""/> <parameter key=""45"" value=""feat_45.true.integer.attribute""/> <parameter key=""46"" value=""feat_46.true.integer.attribute""/> <parameter key=""47"" value=""feat_47.true.integer.attribute""/> <parameter key=""48"" value=""feat_48.true.integer.attribute""/> <parameter key=""49"" value=""feat_49.true.integer.attribute""/> <parameter key=""50"" value=""feat_50.true.integer.attribute""/> <parameter key=""51"" value=""feat_51.true.integer.attribute""/> <parameter key=""52"" value=""feat_52.true.integer.attribute""/> <parameter key=""53"" value=""feat_53.true.integer.attribute""/> <parameter key=""54"" value=""feat_54.true.integer.attribute""/> <parameter key=""55"" value=""feat_55.true.integer.attribute""/> <parameter key=""56"" value=""feat_56.true.integer.attribute""/> <parameter key=""57"" value=""feat_57.true.integer.attribute""/> <parameter key=""58"" value=""feat_58.true.integer.attribute""/> <parameter key=""59"" value=""feat_59.true.integer.attribute""/> <parameter key=""60"" value=""feat_60.true.integer.attribute""/> <parameter key=""61"" value=""feat_61.true.integer.attribute""/> <parameter key=""62"" value=""feat_62.true.integer.attribute""/> <parameter key=""63"" value=""feat_63.true.integer.attribute""/> <parameter key=""64"" value=""feat_64.true.integer.attribute""/> <parameter key=""65"" value=""feat_65.true.integer.attribute""/> <parameter key=""66"" value=""feat_66.true.integer.attribute""/> <parameter key=""67"" value=""feat_67.true.integer.attribute""/> <parameter key=""68"" value=""feat_68.true.integer.attribute""/> <parameter key=""69"" value=""feat_69.true.integer.attribute""/> <parameter key=""70"" value=""feat_70.true.integer.attribute""/> <parameter key=""71"" value=""feat_71.true.integer.attribute""/> <parameter key=""72"" value=""feat_72.true.integer.attribute""/> <parameter key=""73"" value=""feat_73.true.integer.attribute""/> <parameter key=""74"" value=""feat_74.true.integer.attribute""/> <parameter key=""75"" value=""feat_75.true.integer.attribute""/> <parameter key=""76"" value=""feat_76.true.integer.attribute""/> <parameter key=""77"" value=""feat_77.true.integer.attribute""/> <parameter key=""78"" value=""feat_78.true.integer.attribute""/> <parameter key=""79"" value=""feat_79.true.integer.attribute""/> <parameter key=""80"" value=""feat_80.true.integer.attribute""/> <parameter key=""81"" value=""feat_81.true.integer.attribute""/> <parameter key=""82"" value=""feat_82.true.integer.attribute""/> <parameter key=""83"" value=""feat_83.true.integer.attribute""/> <parameter key=""84"" value=""feat_84.true.integer.attribute""/> <parameter key=""85"" value=""feat_85.true.integer.attribute""/> <parameter key=""86"" value=""feat_86.true.integer.attribute""/> <parameter key=""87"" value=""feat_87.true.integer.attribute""/> <parameter key=""88"" value=""feat_88.true.integer.attribute""/> <parameter key=""89"" value=""feat_89.true.integer.attribute""/> <parameter key=""90"" value=""feat_90.true.integer.attribute""/> <parameter key=""91"" value=""feat_91.true.integer.attribute""/> <parameter key=""92"" value=""feat_92.true.integer.attribute""/> <parameter key=""93"" value=""feat_93.true.integer.attribute""/> <parameter key=""94"" value=""target.true.polynominal.label""/> </list> </operator> <operator activated=""true"" class=""sample"" compatibility=""6.3.000"" expanded=""true"" height=""76"" name=""Sample"" width=""90"" x=""179"" y=""30""> <parameter key=""sample"" value=""relative""/> <list key=""sample_size_per_class""/> <list key=""sample_ratio_per_class""/> <list key=""sample_probability_per_class""/> </operator> <operator activated=""true"" class=""k_nn"" compatibility=""6.3.000"" expanded=""true"" height=""76"" name=""k-NN"" width=""90"" x=""380"" y=""30""/> <operator activated=""true"" class=""read_csv"" compatibility=""6.3.000"" expanded=""true"" height=""60"" name=""Read CSV (2)"" width=""90"" x=""313"" y=""345""> <parameter key=""csv_file"" value=""C:\Users\zbiczo\Desktop\virtual_shared\test.csv""/> <parameter key=""column_separators"" value="",""/> <parameter key=""first_row_as_names"" value=""false""/> <list key=""annotations""> <parameter key=""0"" value=""Name""/> </list> <parameter key=""encoding"" value=""windows-1250""/> <list key=""data_set_meta_data_information""> <parameter key=""0"" value=""id.true.integer.id""/> <parameter key=""1"" value=""feat_1.true.integer.attribute""/> <parameter key=""2"" value=""feat_2.true.integer.attribute""/> <parameter key=""3"" value=""feat_3.true.integer.attribute""/> <parameter key=""4"" value=""feat_4.true.integer.attribute""/> <parameter key=""5"" value=""feat_5.true.integer.attribute""/> <parameter key=""6"" value=""feat_6.true.integer.attribute""/> <parameter key=""7"" value=""feat_7.true.integer.attribute""/> <parameter key=""8"" value=""feat_8.true.integer.attribute""/> <parameter key=""9"" value=""feat_9.true.integer.attribute""/> <parameter key=""10"" value=""feat_10.true.integer.attribute""/> <parameter key=""11"" value=""feat_11.true.integer.attribute""/> <parameter key=""12"" value=""feat_12.true.integer.attribute""/> <parameter key=""13"" value=""feat_13.true.integer.attribute""/> <parameter key=""14"" value=""feat_14.true.integer.attribute""/> <parameter key=""15"" value=""feat_15.true.integer.attribute""/> <parameter key=""16"" value=""feat_16.true.integer.attribute""/> <parameter key=""17"" value=""feat_17.true.integer.attribute""/> <parameter key=""18"" value=""feat_18.true.integer.attribute""/> <parameter key=""19"" value=""feat_19.true.integer.attribute""/> <parameter key=""20"" value=""feat_20.true.integer.attribute""/> <parameter key=""21"" value=""feat_21.true.integer.attribute""/> <parameter key=""22"" value=""feat_22.true.integer.attribute""/> <parameter key=""23"" value=""feat_23.true.integer.attribute""/> <parameter key=""24"" value=""feat_24.true.integer.attribute""/> <parameter key=""25"" value=""feat_25.true.integer.attribute""/> <parameter key=""26"" value=""feat_26.true.integer.attribute""/> <parameter key=""27"" value=""feat_27.true.integer.attribute""/> <parameter key=""28"" value=""feat_28.true.integer.attribute""/> <parameter key=""29"" value=""feat_29.true.integer.attribute""/> <parameter key=""30"" value=""feat_30.true.integer.attribute""/> <parameter key=""31"" value=""feat_31.true.integer.attribute""/> <parameter key=""32"" value=""feat_32.true.integer.attribute""/> <parameter key=""33"" value=""feat_33.true.integer.attribute""/> <parameter key=""34"" value=""feat_34.true.integer.attribute""/> <parameter key=""35"" value=""feat_35.true.integer.attribute""/> <parameter key=""36"" value=""feat_36.true.integer.attribute""/> <parameter key=""37"" value=""feat_37.true.integer.attribute""/> <parameter key=""38"" value=""feat_38.true.integer.attribute""/> <parameter key=""39"" value=""feat_39.true.integer.attribute""/> <parameter key=""40"" value=""feat_40.true.integer.attribute""/> <parameter key=""41"" value=""feat_41.true.integer.attribute""/> <parameter key=""42"" value=""feat_42.true.integer.attribute""/> <parameter key=""43"" value=""feat_43.true.integer.attribute""/> <parameter key=""44"" value=""feat_44.true.integer.attribute""/> <parameter key=""45"" value=""feat_45.true.integer.attribute""/> <parameter key=""46"" value=""feat_46.true.integer.attribute""/> <parameter key=""47"" value=""feat_47.true.integer.attribute""/> <parameter key=""48"" value=""feat_48.true.integer.attribute""/> <parameter key=""49"" value=""feat_49.true.integer.attribute""/> <parameter key=""50"" value=""feat_50.true.integer.attribute""/> <parameter key=""51"" value=""feat_51.true.integer.attribute""/> <parameter key=""52"" value=""feat_52.true.integer.attribute""/> <parameter key=""53"" value=""feat_53.true.integer.attribute""/> <parameter key=""54"" value=""feat_54.true.integer.attribute""/> <parameter key=""55"" value=""feat_55.true.integer.attribute""/> <parameter key=""56"" value=""feat_56.true.integer.attribute""/> <parameter key=""57"" value=""feat_57.true.integer.attribute""/> <parameter key=""58"" value=""feat_58.true.integer.attribute""/> <parameter key=""59"" value=""feat_59.true.integer.attribute""/> <parameter key=""60"" value=""feat_60.true.integer.attribute""/> <parameter key=""61"" value=""feat_61.true.integer.attribute""/> <parameter key=""62"" value=""feat_62.true.integer.attribute""/> <parameter key=""63"" value=""feat_63.true.integer.attribute""/> <parameter key=""64"" value=""feat_64.true.integer.attribute""/> <parameter key=""65"" value=""feat_65.true.integer.attribute""/> <parameter key=""66"" value=""feat_66.true.integer.attribute""/> <parameter key=""67"" value=""feat_67.true.integer.attribute""/> <parameter key=""68"" value=""feat_68.true.integer.attribute""/> <parameter key=""69"" value=""feat_69.true.integer.attribute""/> <parameter key=""70"" value=""feat_70.true.integer.attribute""/> <parameter key=""71"" value=""feat_71.true.integer.attribute""/> <parameter key=""72"" value=""feat_72.true.integer.attribute""/> <parameter key=""73"" value=""feat_73.true.integer.attribute""/> <parameter key=""74"" value=""feat_74.true.integer.attribute""/> <parameter key=""75"" value=""feat_75.true.integer.attribute""/> <parameter key=""76"" value=""feat_76.true.integer.attribute""/> <parameter key=""77"" value=""feat_77.true.integer.attribute""/> <parameter key=""78"" value=""feat_78.true.integer.attribute""/> <parameter key=""79"" value=""feat_79.true.integer.attribute""/> <parameter key=""80"" value=""feat_80.true.integer.attribute""/> <parameter key=""81"" value=""feat_81.true.integer.attribute""/> <parameter key=""82"" value=""feat_82.true.integer.attribute""/> <parameter key=""83"" value=""feat_83.true.integer.attribute""/> <parameter key=""84"" value=""feat_84.true.integer.attribute""/> <parameter key=""85"" value=""feat_85.true.integer.attribute""/> <parameter key=""86"" value=""feat_86.true.integer.attribute""/> <parameter key=""87"" value=""feat_87.true.integer.attribute""/> <parameter key=""88"" value=""feat_88.true.integer.attribute""/> <parameter key=""89"" value=""feat_89.true.integer.attribute""/> <parameter key=""90"" value=""feat_90.true.integer.attribute""/> <parameter key=""91"" value=""feat_91.true.integer.attribute""/> <parameter key=""92"" value=""feat_92.true.integer.attribute""/> <parameter key=""93"" value=""feat_93.true.integer.attribute""/> </list> </operator> <operator activated=""true"" class=""apply_model"" compatibility=""6.3.000"" expanded=""true"" height=""76"" name=""Apply Model"" width=""90"" x=""581"" y=""75""> <list key=""application_parameters""/> </operator> <connect from_op=""Read CSV"" from_port=""output"" to_op=""Sample"" to_port=""example set input""/> <connect from_op=""Sample"" from_port=""example set output"" to_op=""k-NN"" to_port=""training set""/> <connect from_op=""k-NN"" from_port=""model"" to_op=""Apply Model"" to_port=""model""/> <connect from_op=""Read CSV (2)"" from_port=""output"" to_op=""Apply Model"" to_port=""unlabelled data""/> <connect from_op=""Apply Model"" from_port=""labelled data"" to_port=""result 1""/> <connect from_op=""Apply Model"" from_port=""model"" to_port=""result 2""/> <portSpacing port=""source_input 1"" spacing=""0""/> <portSpacing port=""sink_result 1"" spacing=""0""/> <portSpacing port=""sink_result 2"" spacing=""0""/> <portSpacing port=""sink_result 3"" spacing=""0""/> </process> </operator></process>",0,None,7,Thu Apr 23 2015 15:05:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13712,/competitions/otto-group-product-classification-challenge,2976th
/amirjoudaki,Extracting downloaded files,"Hi everyone,I've downloaded the datasets but I can't extract them. The small ones (labels as well as sample) are ok but the main image sets (train and test) are not even recognized as a compressed folder. Should they be extracted separately or they must be extracted altogether? I'm on linux and I tried extracting them with 7zip.",0,None,2,Thu Apr 23 2015 16:54:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13714,/competitions/diabetic-retinopathy-detection,None
/yagu327605,"Life Buoy needed, please help...","The below errors show up at the final stage, please kind advise where possible error might be, or do I need to ""swim"" to a different direction: Command 1:> as.numeric(performance(predictTrainWordLog,""auc"")@y.values)Error in performance(predictTrainWordLog, ""auc"") : Wrong argument types: First argument must be of type 'prediction'; second and optional third argument must be available performance measures!Command 2:> PredTest = predict(WordLog, newdata=NewsTest1, type=""response"")Warning message:In predict.lm(object, newdata, se.fit, scale = 1, type = ifelse(type == : prediction from a rank-deficient fit may be misleading The course I have swam so far: Step 1) Read the Train & Test .csv including ""stringsAsFactors=FALSE"" into command. Step 2) Convert the date/time to something R will understand using commands provided by instructor inside Competition_GettingStarted.R:> NewsTrain$PubDate = strptime(NewsTrain$PubDate...> NewsTest$PubDate = strptime(NewsTest$PubDate... Step 3) Added variable weekday as per suggestion from Competition_GettingStarted.R:> NewsTrain$Weekday = NewsTrain$...> NewsTest$Weekday = NewsTest$... Step 4) Pre-process Data:• Turn NewsDesk, Section Name & Subsection Name into factors:> NewsTrain$NewsDesk=as.factor(News...)NewsTrain$SectionName=as.factor(News...)> NewsTrain$SubsectionName=as.factor(News...) • Corpus all text data:librarylibrary(SnowballC) • Combine test and train Headline, Snippet & Abstract. Then corpus them:> corpusHeadline=Corpus(VectorSource(c(NewsTrain$Headline, NewsTest$Headline)))corpusHeadline=tm_map(corpusHeadline,tolower)corpusHeadline=tm_map(corpusHeadline, PlainTextDocument)corpusHeadline=tm_map(corpusHeadline, removePunctuation)corpusHeadline=tm_map(corpusHeadline, removeWords, stopwords(""english""))corpusHeadline=tm_map(corpusHeadline, stemDocument)dtmHeadline = DocumentTermMatrix(corpusHeadline)dtmrsHeadline = removeSparseTerms(dtmHeadline, 0.97)HeadlineWords = as.data.frame(as.matrix(dtmrsHeadline))colnames(HeadlineWords) = make.names(colnames(HeadlineWords))> colnames(HeadlineWords) <- paste0(""H"", colnames(HeadlineWords)) > corpusSnippet=Corpus(VectorSource(c(NewsTrain$Snippet, NewsTest$Snippet)))...> colnames(SnippetWords) <- paste0(""S"", colnames(SnippetWords)) > corpusAbstract=Corpus(VectorSource(c(NewsTrain$Abstract, NewsTest$Snippet)))...> colnames(AbstractWords) <- paste0(""A"", colnames(AbstractWords)) • Combine the 3 matrices> dtmWords = cbind(HeadlineWords, SnippetWords, AbstractWords, row.names=NULL) • Split data back to Train and Test set:WordsTrain = head(dtmWords, nrow(NewsTrain))WordsTest = tail(dtmWords, nrow(NewsTest)) Step 5) Combine dataframe and created new Train set and new Test set> NewsTrain1=cbind(WordsTrain, NewsTrain)> NewsTest1=cbind(WordsTest, NewsTest) Step 6) Built Model:>WordLog=glm(Popular~Hreport+Ssaid+NewsDesk+SectionName+SubsectionName+WordCount+UniqueID+Weekday, data=NewsTrain1, family=""binomial"")Question: Typing in ""-Pubdate"" forbids me to remove this variable when ""~"" is used. The below error message shows up. Curious what mechanism prevents ""-Pubdate"" from being removable?Error in model.frame.default(formula = Popular ~ . - PubDate, data = NewsTrain1, : invalid type (list) for variable 'PubDate'Question: When I summary (WordLog), I saw variable ""NewsDeskTravel"" being insignificant, when building a prediction model, how can I remove insignificant variables that belong under ""NewsDesk"", ""SectionName"" & ""SubsectionName"". ""R"" does not allow me to manually type in each of the sub-variables ""NewsDeskStyle"". The below error would show up and I conjecture I must have made error or used an incorrect method:Error in eval(expr, envir, enclos) : object 'NewsDeskStyle' not found Step 7) Predict:> predictTrainWordLog=predict(WordLog,type=""response"")library(ROCR)> predictWordTrainLog=prediction(predictTrainWordLog, NewsTrain1$Popular)as.numeric(performance(predictTrainWordLog,""auc"")@y.values) Step 8) Submission> PredTest = predict(WordLog, newdata=NewsTest1, type=""response"")> MySubmission = data.frame(UniqueID = NewsTest1$UniqueID, Probability1 = PredTest)Apart from a few basic stats terms, everything taught in this course is new to me; I am quite lost, but am not giving up. I barely understands any of the topics reviewed in other forums, thus you prove yourself a real master if you manage to lift me to realize what's going on, and which direction I shall swim towards. Best.",1,bronze,58,Thu Apr 23 2015 17:40:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13715,/competitions/15-071x-the-analytics-edge-competition-spring-2015,433rd
/meron1,My approach,"The following is a description of the method I used used to impute missing words - I'll try to make it as short as possible. Hopefully there will be an opportunity for us to share more detailed information about our systems - perhaps some (joint?) publication? To impute the missing words, a two stage process is used. In the first stage, the position of the missing word is detected,and in the second stage, a replacement word is selected. Computational resources:All the computation were done on a single home computer (used to be high end, 4 years ago...) with a fairly new nvidia gtx780 GPU.Due to the time required to train models, only a very limited number of experiments were performed. In particular, a lot of guesstimating was done in selecting the features to be used, model topology and size, and practically every tunable parameter.Better selection is certainly possible, given more time and computational resources. 1) detecting position of missing word The position of the missing word is detected using a DNN.The Stanford 'Caffe' framework was used in this work. It supports GPU computation, and allows fairly easy custom extensions. Description of the network: The simplest way to construct a network would be to predict, for a given context, if a word is missing in the middle of this context.The topology actually used is a bit more complicated - the output predicts the ""probabilities"" of word omission for each possible positions in the context.It would have been possible to build separate nets for predicting the probability for each position separately, but by making it into one net, it could learn some shared features. Input: - a context of 14 consecutive words taken out of a sentence from which a word was omitted. The context is padded with sentence boundary markers if necessary The context may or may not include a position with a missing word. - each word is represented as by vector of 256 features. - For training: a label is also given, corresponding to the position of the missing word within this context (relative to the beginning of the context). A label of 0 is given if no word is missing within the sequence. Each word in the context vector is represented by a vector of 256 values, comprising of: - word2vec representation of the word (dimension 223). - POS features (binary, dimension 27) - a list of around 250 words was manually assembled for closed-class POS (prepositions, pronouns, symbols...). a word outside this list (nouns, verbs...) is assigned 0 for all these binary features. Numbers are specially detected and marked as numbers. - special tags (binary) for: sentence boundary, unknown word - indicators for character level word features - currently just two such features: ""word includes a digit?"" and ""word end with s?"" (intended to have more of these, but didn't have time) - word probability (taking into account 4 previous words)- calculated by a small ngram language model (details below) Intermediate layers:From the input, The network splits to two main ""trunks"", which are then combined to produce the output.The first trunk consists of standard stack of repetitions of : (inner product layer + ReLU).The second trunk consists of a single convolution layer, followed by repetitions of : (inner product layer + ReLU).The convolution layer looks at a sliding window of 8 consecutive words at a time.The outputs of the two trunks are then concatenated and followed by repetitions of : (inner product layer + ReLU).The reason for adding the convolutional trunk is that it may help catch some of the more local features which are common for all positions. In total there are 5 hidden layers (for any path from input to output). The convolution trunk has 1024 features at its base, and the inner product trunk has 2048 nodes at its base (both get narrower towards the top). Output:The output layer of the network consists of 14 units, indicating the position of the missing word:e.g. unit 5 corresponds to the probability of a word missing between the 5th and 6th words.unit 0 corresponds to no missing word. Detection:To perform actual detection, the system is fed with consecutive sliding-window contexts of 18 words (14 context words + 4 preceding words needed to calculate LM scores).each context is run through the net, which outputs its prediction for the position of the missing word.Consecutive contexts assign different values to each position in the sentence. These values are then averaged, and the position with the highest value is selected as the position to insert a word. On my development set, the position detection accuracy was about 71% (the DNN training still has not reached its peak...)In addition to predicting the position of the missing word, the DNN output can also serves as a useful confidence score (i.e. for the sentences whose confidence score is in the top 55%, the detection accuracy is over 90%), which in this task is very important. 2) selecting replacement word Once the position of the missing word is determined, the word with the highest probability, according to a language model, is selected. Two ngram LM's were built:- a small LM - used to calculate input features for the position detection DNN - 5gram KN discounting, 20 million ngram entries- a large LM - used to find word to insert into detected position - 6gram KN discounting, 220 million ngramsBoth are standard models, trained using the SRILM toolkit. A lot of effort (and even more time) went into trying different configurations and modifications of rnnlm (rnnlm.org).Numerous experiments with rnnlm either did not yield significant improvement, or had to be abandoned due to their slowness or memory thirst.The best results I could get (using the original code, hidden=120, direct=3500) did at best match the ngram results in my setup. On my development set, the accuracy of correct word selection (for a position correctly detected) was around 48% (case sensitive) for either ngram or rnn, or 53% (case insensitive).Linear combination of the two gave an improvement of about 1%.",6,bronze,6,Thu Apr 23 2015 18:12:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13716,/competitions/billion-word-imputation,2nd
/gayathrimn,Adjusting with Wordcount variable,"Hi All, I found that Out of all 88 WordCount observations with 0, none of them are popular, so i excluded that from training set also i found most of articles are less than 2000 words so i included that as independent variables. But for both my trials no improvement in AUC,I have done everything i can to improve model,",0,None,17,Thu Apr 23 2015 19:16:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13717,/competitions/15-071x-the-analytics-edge-competition-spring-2015,950th
/subhrajit,Intelligent way to tune parameters in Gradient Boosting Classifiers,"Instead of trying by brute force all possible combinations from ranges for each parameter, is there an intelligent way to tune the parameters ? e.g. in the sklearn version, some of the parameters available are: n_estimators=250, \ learning_rate=0.05, \ max_depth=10, \ max_features = 0.8, \ min_samples_leaf=4, \ random_state=0, \ subsample =0.9, I would think that if I want to try and reduce the learning rate, I should increase the n_estimators. Decreasing both or increasing both simultaneously is probably not smart. Are there other intelligent ways of varying the parameters ? e.g. if I increase max_depth, should I try with more or less estimators ? I'd think less. What are the intelligent ways of varying the parameters and what is the intuition behind varying them as such ? Thanks much. Subhrajit",0,None,4,Thu Apr 23 2015 19:20:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13719,/competitions/otto-group-product-classification-challenge,608th
/analyting,R freezes whenever I run Logistic Regression or RF,"I have been trying to run Logistic regression and Rnadom Forest on the NYTimesBlogTrain data set but everytime I run it, R freezes and I have to force quit the application. I tried reducing the number of independent variables and it seems that it only works when I use just one independent variable. Whenever I increase the number of independent variables R freezes. Any idea what I could be doing wrong ? Here's what I am doing currently 1. Load data into R using stringsAsFactor = FALSE 2. Running Logistic Regression or Random Forest What could be causing R to freeze ? Any ideas?",0,None,3,Thu Apr 23 2015 20:15:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13720,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2199th
/michaels6,How many submissions are there?,"I'm currently 2218 with a score of 6.something. Will everyone that makes a submission be on the leader board or is there a minimum score to get on the board? I just want to know if I should feel good about my performance or could anyone get a score and get on the board. Is there a cutoff score of, say 35, to get on the leaderboard? The lowest visible score is 33.53.",0,None,2,Thu Apr 23 2015 23:15:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13723,/competitions/otto-group-product-classification-challenge,3020th
/dmarch,Spray effort,"Spray effort is only provided for years 2011 and 2013. However, the figure provided in the Data description section shows a map for period 2007-2014. If spray has an effect on mosquitos, why this information is not given for all years (including training and testing periods)? In addition, any clue about spray effectivness in spatial (radius) and temporal (hours, days...) terms?",0,None,27,Fri Apr 24 2015 00:08:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13724,/competitions/predict-west-nile-virus,None
/fchollet,Achieve LB 0.684 in seconds with a deep net using Keras (Python),"Hi there, Here is some starter code to achieve 0.80 in local 4-fold cross-validation (0.684 on the LB): http://www.kaggle.com/users/123235/fchollet/predict-west-nile-virus/keras-deep-net-starter-code The model is built with the deep learning library Keras. Get Keras here: https://github.com/fchollet/keras Note that to achieve a local 0.80 you'll have to replace the lecun_uniform initializations in the code with glorot_uniform, and replace the optimizer adadelta with adam. The reason that's not already in the script is because Kaggle is running an older version of Keras : ) The model can be trained in 20-30 seconds on CPU (single core is fine). In the Kaggle script, most of the time is taken by the cross-validation step. If you find this code useful, please take the time to star Keras on Github!",16,gold,17,Fri Apr 24 2015 00:37:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13725,/competitions/predict-west-nile-virus,None
/jiweiliu,Can the script prize become a regular one?,"Obviously, people want the mug! so many scripts in this contest!! But not fair for other contests :P",2,bronze,1,Fri Apr 24 2015 01:31:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13726,/competitions/predict-west-nile-virus,37th
/manikantmahankali,Random Forest help ,"Hey all, Firstly, thanks to all those guys who are helping out in discussion forums. Learnt a lot of things from there. I am a newbie at this stuff, so got to learn a lot from there. So, my random forest model is performing very poorly, It seems to work better for other people. I wanted to know if I am missing some points to make the model better. I used the text analytics on Headline and Abstract. combined the words and added NewsDesk, Section and Subsection, Weekday, Hour. My model is only giving a 0.77. My best model so far is Logistic Regression with only Headline and the other variables mentioned above and i got 0.903 Any suggestions?",1,None,5,Fri Apr 24 2015 01:40:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13727,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1731st
/benhamner,Kaggle Scripts Product Feedback,"NOTE: This topic has become unwieldy. I am archiving it for historical purposes and have replaced it with a [Link]:https://staging.kaggle.com/forums/f/809/product-feedback. We're actively developing our [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/13285/introducing-kaggle-scripts, and would love to get your input on it! We've started [Link]:https://www.kaggle.com/wiki/Scripts. Please use this thread to give us feedback on the Kaggle Scripts. We're especially interested in: Is there anything you find confusing or difficult about using it? How can we improve it? What else would you like to see on it?",3,bronze,241,Fri Apr 24 2015 01:55:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13728,None,None
/inspector,Hidden Layer Activations as Input to Another Classifer?,"Given the success others have had in past competitions like this one, by feature engineering (subtracting, ratios etc of the raw variables) and feeding the derived features through a GBM (say), I wondered if the activations from a hidden layer (NN) could be used to create additional features. So far the performance has not been that great and I was curious if anyone has seen this done successfully before?",1,bronze,2,Fri Apr 24 2015 05:08:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13729,/competitions/otto-group-product-classification-challenge,None
/msshah3,Seeking suggestions to get into the 0.93 range,"Hi everyone. Right now I am stuck at around 0.9275 and can't seem to get any further. I have tried RF, LR , Stochastic gradient boosting and even SVM. No single model of mine does better than 0.926. Models of mine that work exceptionally well on the training set are overfitting the data. Using ensembles has given me a very modest increase over my best single model. I am using variables from the corpus, Weekday, Hour and all the other obvious ones from the training set. I'd appreciate any suggestions. I am not asking any one to share code. I would just appreciate simple hints to get me on the right track. Thanks.",0,None,51,Fri Apr 24 2015 05:41:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13730,/competitions/15-071x-the-analytics-edge-competition-spring-2015,108th
/hokum330432,Kaggle AUC vs. Training AUC,"Just curious, Anyone willing to share what your training AUC is compared to the Kaggle AUC. And what your corresponding training accuracy is? For me: Training AUC = 0.94865 Kaggle AUC = 0.90682 Training Accuracy = 0.91289 I think I'm overfitting the training data, but I thought the drop-off even for the limited Kaggle test set AUC would be more severe. Or is a ~0.04 drop considered severe already? And would this imply about a 0.04 drop in test accuracy as well?",1,bronze,5,Fri Apr 24 2015 07:09:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13731,/competitions/15-071x-the-analytics-edge-competition-spring-2015,615th
/abes975,Subtract common terms in 2 corpora,"Hi there, I was wondering how to subtract common terms inside two different corpora. I.e. I have dtm1 = DocumentTermMatrix(corpus1) dtm2 = DocumentTermMatrix(corpus2) I would like to keep words that are not shared between the two corpora. Is it possible to do? Cheers. Seba",0,None,2,Fri Apr 24 2015 08:17:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13732,/competitions/15-071x-the-analytics-edge-competition-spring-2015,480th
/kvphst,Titanic as a neural network problem,"can anyone help me with the python code , to classify the titanic problem as a simple neural network where the attributes such as age,pclass,etc form the input and output is binary i.e, survived or not. The weights of each is calculated and back propagation is followed to reduce error.. Thanks I know that the above problem can solved with a simple classification of decision trees,svm,etc but I want to explore neural networks ... Thanks #newbie_with_no_experience",0,None,3,Fri Apr 24 2015 09:05:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13733,/competitions/titanic,None
/anubis2,How obtain the correct classification of the test set,Is there the possibility to have the correct classification of the test set?,2,bronze,2,Fri Apr 24 2015 10:32:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13734,/competitions/malware-classification,None
/prithirajsengupta,Is it Normal to Have NAs in PredTest,"1. This is the prediction code on cart model. PredTest = predict(newsCART, newdata=NewsTest, type=""prob"") 2. Then I am writing a log file for the submission MySubmission = data.frame(UniqueID = NewsTest$UniqueID, Probability1 = PredTest[,2]) write.csv(MySubmission, ""SubmissionSimpleLogCART.csv"", row.names=FALSE) The values of the submission file after row number 1871: NA,0.07627526NA,0.07627526NA,0.07627526NA,0.07627526NA,0.07627526NA,0.07627526 Though I have manually removed those NA rows using a text editor before submitting. But is it normal to have those values? Thanks, Prith",0,None,4,Fri Apr 24 2015 11:56:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13735,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1362nd
/mdonov,ERROR - RM - missing object,"Hello, I get to the point where I want to make predictions on the Test set with the best tree I got with the ""train"" function and I encountered this error: Error in eval(expr, envir, enclos) : object 'NameExample1' not found NameExample1 is the category of a factor variable with just two levels(0,1) I used the make.names on my col. just for any case, because this solved a similar problem before, when the RM didn't find my variables (The function removed the space in the var. name) I have what I need in the test set(same name for the variables). I used the make.names function as I mentioned. If I delete it, it will tell me that next object/variable in the dataset is not found. The best tree is from train funct. and it's predicted in sets which both have those variables.So to me this doen't make any sense.. Will appreciate any advice very much....and Sorry for bothering.Martin",0,None,4,Fri Apr 24 2015 12:52:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13736,/competitions/15-071x-the-analytics-edge-competition-spring-2015,127th
/zhaogang,test data set,Noted thx.,1,bronze,3,Fri Apr 24 2015 13:02:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13737,/competitions/pkdd-15-predict-taxi-service-trajectory-i,None
/gurumoorthy,Facing Very Very Hard Time with Bag of Words.... Please Help:(,"I used Bag of words for Headline and Abstract. I adjusted sparse value to give only 30 words each in Headline and Abstract. Have combined both and used logistic model along with log(wordcount+1),Weekday,Hour,Newsdesk, SectionName and SubsectionName. Using summary(Logmodel) i got 15 significant words including headline and abstract. This time i build the same model with those significant words and other variables mentioned above. I got AUC of 0.58 only... But still summary(model) shows all words are significant????????? Why on earth this Bag of Words is not working at all or give a heads up how to use text analytics............... Thanks",0,None,1,Fri Apr 24 2015 15:28:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13738,/competitions/15-071x-the-analytics-edge-competition-spring-2015,958th
/spaceman,"R^2 of 0.901307, RMES of 806324.62 anyone seeing this...","Is anyone else during training getting: R^2 = 0.901307, RMES = 806324.62 But still can't get into the top ten or even the top 20. Anyone from the top 30 want to give an idea of what kind of R^2 and RMES one needs to break into the top 20 so I don't waste my time making submission below par I am getting the impression I will need an R^2 of about 0.9999 to get into the top 20 ...... WOW!!! Michael",-2,None,11,Fri Apr 24 2015 16:57:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13739,/competitions/restaurant-revenue-prediction,1608th
/albert759,improving logistic regression model,"could I please get some tips to improve my glm model i have used NewsDesk,SectionName,SubsectionName and WordCount as predictors nothing fancy crossed 0.90 but wanna do better what should I aim at,kinda stuck in a rut here,any suggestions would be greatly appreciated.",0,None,8,Fri Apr 24 2015 17:02:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13740,/competitions/15-071x-the-analytics-edge-competition-spring-2015,948th
/surovikovm,GLM AUC Train vs Test decreases dramatically,"Hi colleagues! I have the following problem. My GLM is performing rather good on Train data, Train 10-folds cross-validated AUC = 0.9289208. But when I submit the results to Kaggle, I get AUC around 0.52. The model has 20 factors, all significant with p<0.05: NewsDesk log(WordCount+1) Several features created by myself Several variables representing words from Header and Abstract Is this overfitting? The model doesn't employ too many variables, all the variables are significant and interpretable... Any help would be very much appreciated. PS I might've done different transformation on features, but I get the transformations for Test by simply taking the code from Train and replacing the word ""Train"" with ""Test"".",0,None,2,Fri Apr 24 2015 17:53:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13741,/competitions/15-071x-the-analytics-edge-competition-spring-2015,490th
/zachschleien,New to Kaggle and R,"I started learning R and I just joined Kaggle. My concern is that if I do the competitions right away I won't be much help, but my goal is to learn and to partake in these competitions eventually. Any feedback / thoughts would be awesome!",0,None,5,Fri Apr 24 2015 19:08:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13742,None,None
/oconnoda,What doesn't work?,"Lot's of folks are sharing ideas about what works. But sometimes it's useful to know what doesn't work. Let's share our failures. :) I failed miserably at trying a cluster then model approach. I struggled for two days and finally gave up. Maybe my R skills aren't up to the task. ""Fail often so you can succeed sooner"" - Tom Kelly",3,None,7,Fri Apr 24 2015 19:21:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13743,/competitions/15-071x-the-analytics-edge-competition-spring-2015,71st
/sayan21,'M' values,What does the 'M' stand for in the weather dataset? Are those missing values?,0,None,1,Fri Apr 24 2015 20:19:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13744,/competitions/predict-west-nile-virus,None
/yaohuizeng,Submission error,"Hi all, I got an error message for submission, as in the attached image. What does that mean? How any of you had that error as well? I checked the prediction probabilities. Some rows don't sum up to exactly 1, 0.9999999 for instance. Is that the reason that causes the error? Thanks, Yaohui [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74547/2359/kaggle_submission_error.png",0,None,2,Fri Apr 24 2015 20:53:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13745,/competitions/otto-group-product-classification-challenge,111th
/simon55,How to combine cluster results into required submission format in R,Lat us say I have n clusters and hence n sets of results which are NOT necessarily ordered to be in the required submission format. The question is how to combine the n sets of results into the required ordered submission format in R. Thanks,0,None,3,Fri Apr 24 2015 21:03:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13746,/competitions/15-071x-the-analytics-edge-competition-spring-2015,805th
/mdershewitz,Dumb question on RF - what code do you use that adjusts the test set if columns in the training set are not present?,"I know how to do this on a per-variable basis, but is there the equivalent of a left join that puts a column of zeros for ALL the columns that are in the training set and not in the test set? Thanks!",0,None,4,Fri Apr 24 2015 21:26:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13747,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1718th
/ofdomejean,gbm output,"Hi, When I run gbm I get this output, with no errors generated: Iter TrainDeviance ValidDeviance StepSize Improve 1 nan nan 0.0010 nan2 nan nan 0.0010 nan ... I get this output for all the 500 trees, and I cannot predict anything. The command is: textoGbm=gbm(Popular ~ ., data = TextoWordsTrain,distribution=""bernoulli"", n.trees=500, shrinkage=0.001, interaction.depth = 4, ...) When does this happen, please? Thanks in advance",1,None,15,Sat Apr 25 2015 00:07:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13749,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1823rd
/inversion,Kaggle will not break me!,I don't care HOW many new contests I'm forced to enter!!!!! Keep them coming!,11,gold,7,Sat Apr 25 2015 00:27:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13750,/competitions/pkdd-15-taxi-trip-time-prediction-ii,56th
/skylord,Negative values in randomForest prediction,I am getting negative values in randomforest predictions?? What does it mean?,0,None,2,Sat Apr 25 2015 00:46:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13751,/competitions/15-071x-the-analytics-edge-competition-spring-2015,881st
/oconnoda,Do you want a better model?,"As we learned in class, it is important to do out of sample testing on your model. One common way to do that is [Link]:http://en.wikipedia.org/wiki/Cross-validation_(statistics)#k-fold_cross-validation. Here is a function I wrote to make this task easier. Use it to test improvements in your model. Note that it uses the helper function conf.matrix which is included below. Also note that this function won't work with glm (sorry). # Parameters:# data - data frame containing your training data# model - the function to call to make the model (e.g. rpart, gbm, knn3 etc.)# pargs - a list of arguments for the predict function# ... - parameters for the model# Examples:# kfold(TrainData,randomForest,pargs=list(type=""prob""),nodesize=1,ntree=500)# kfold(TrainData,rpart,method=""class"",cp=0.01)kfold = function(data,model,pargs=NULL,...) { require(caret) # k is the number of folds, 5 or 10 are common choices k = 5 metrics = list(k) means = numeric(5) folds = createFolds(data$Popular,k=k,list=TRUE,returnTrain=TRUE) for (i in 1:length(folds)) { dfT = data[folds[[i]],] dfP = data[folds[[i]]*-1,] # change the formula (Popular~.) in the line below if you need to m = model(Popular~.,data=dfT,...) p = do.call(predict,c(list(object=m,newdata=dfP),pargs)) if (!is.vector(p)) if (ncol(p)>1) p = p[,2] mk = conf.matrix(dfP$Popular,p,0.5)$metrics # remove the # in front of the print statement if you want to see # data for each iteration #print(mk) metrics[[i]] = mk } for (i in 1:length(metrics)) { means = means + metrics[[i]] } means = means / k names(means) = names(metrics[[1]]) list(means=means)} conf.matrix = function (outcomes,predictions,cutoff) { require(ROCR) if (class(predictions) == ""factor"") { auc=NA t = table(outcomes,predictions) } else { auc = performance(prediction(predictions,outcomes),""auc"")@y.values[[1]] t = table(outcomes,predictions=predictions >= cutoff) if (cutoff > max(predictions)) { t = cbind(t,""TRUE""=c(0,0)) } else if (min(predictions) > cutoff) { t = cbind(""FALSE""=c(0,0),t) } } acc = (t[1,1] + t[2,2]) / length(predictions) sen = t[2,2] / (t[2,1] + t[2,2]) spec = t[1,1] / (t[1,1] + t[1,2]) baseline.accuracy = max(t[1,1]+t[1,2],t[2,1]+t[2,2])/length(predictions) list(confusion.matrix=t, metrics=c(sensitivity=sen,specificity=spec,accuracy=acc,baseline.acc=baseline.accuracy,auc=auc))}",21,bronze,32,Sat Apr 25 2015 01:05:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13752,/competitions/15-071x-the-analytics-edge-competition-spring-2015,71st
/science,filling blank values,"The RF model shows that NewsDesk and SectionName are important factors. So I thought that filling the missing values for these 2 columns would help improve the model performance. I have tried filling them using different models, but so far, I have better performance leaving the blank values as they are. Has any one achieved better performance by filling the blank values?",0,None,6,Sat Apr 25 2015 01:08:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13753,/competitions/15-071x-the-analytics-edge-competition-spring-2015,180th
/bayharborbutcher,baby steps: breach 0.71 with GAM,"A small modification of mlandry's starter logistic regression script. Uses 4 predictors: week number, species, lat and lon. Spline smoother on week number and a joint loess smoother on lat-lon. Gave me 0.81 on testing, and 0.7125 on LB :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74601/2363/starter_GAM.R",25,gold,26,Sat Apr 25 2015 02:30:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13754,/competitions/predict-west-nile-virus,227th
/yaohuizeng,XGboost - early stopping and other issues,"I played around with the R package 'xgboost' for a while. It's really awesome as a lot of people mentioned. I have several specific questions on . 1. what is the returned value from function xgb.train or xgboost? could we extract useful results from it, for instance training and test errors when 'watchlist' is provided, other than just using it for prediction? I tried to summarize the object 'bst' from xgb.train, but the results are very strange. I know we can ask for printout performance information by specifying 'verbose = 1', but I am curious whether those values can be stored and returned. > summary(bst) Length Class Mode handle 1 xgb.Booster.handle externalptrraw 71972468 -none- raw > str(bst)List of 2 $ handle:Class 'xgb.Booster.handle' <externalptr> $ raw : raw [1:71972468] 00 00 00 3f ... - attr(*, ""class"")= chr ""xgb.Booster"" 2. Watching the training and test error output from xgb.train, we can observe overfitting. Then is there a way to request the training process stop and return the optimal 'nrounds' parameter when overfitting occurs? The following is an example. .... [245] train-mlogloss:0.094235 test-mlogloss:0.487879[246] train-mlogloss:0.093787 test-mlogloss:0.487782[247] train-mlogloss:0.093413 test-mlogloss:0.487795[248] train-mlogloss:0.093059 test-mlogloss:0.487730[249] train-mlogloss:0.092554 test-mlogloss:0.487775[250] train-mlogloss:0.092188 test-mlogloss:0.487798[251] train-mlogloss:0.091802 test-mlogloss:0.487742[252] train-mlogloss:0.091405 test-mlogloss:0.487756[253] train-mlogloss:0.091068 test-mlogloss:0.487771[254] train-mlogloss:0.090697 test-mlogloss:0.487810[255] train-mlogloss:0.090368 test-mlogloss:0.487823[256] train-mlogloss:0.089886 test-mlogloss:0.487809[257] train-mlogloss:0.089508 test-mlogloss:0.487825[258] train-mlogloss:0.089119 test-mlogloss:0.487843[259] train-mlogloss:0.088895 test-mlogloss:0.487869[260] train-mlogloss:0.088524 test-mlogloss:0.487880[261] train-mlogloss:0.088133 test-mlogloss:0.487916[262] train-mlogloss:0.087804 test-mlogloss:0.487879[263] train-mlogloss:0.087415 test-mlogloss:0.487819[264] train-mlogloss:0.087202 test-mlogloss:0.487814[265] train-mlogloss:0.086841 test-mlogloss:0.487838[266] train-mlogloss:0.086378 test-mlogloss:0.487840 ...... I found that each time I had to watch the whole training process in order to identify the 'nrounds' value (251 in above case) before overfitting occurs. And then I did the prediction by following. pred <- predict(bst, test, ntreelimit = 251) Am I doing right here? Is there a way to automate this process? 3. I found that the sum of the predicted probabilities of the 9 classes for some rows doesn't equal to 1, though very close, like 1.0000001 or 0.9999999. The results didn't pass the following check. However, when I used package 'caret', the predicted probabilities did pass the command. all.equal(rowSums(pred), rep(1, nrow(pred))) Any of your comments are highly appreciated. Thanks a lot. Yaohui",3,None,9,Sat Apr 25 2015 03:29:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13755,/competitions/otto-group-product-classification-challenge,111th
/sudalairajkumar,Beating the benchmark :),A very simple beating the benchmark script in 5 lines :) Topic courtesy : Abhishek :P [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74622/2365/benchmark.py,5,silver,6,Sat Apr 25 2015 06:14:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13756,/competitions/pkdd-15-taxi-trip-time-prediction-ii,12th
/dchudz,RMarkdown as a Scripts Language,"We've added RMarkdown as a ""language"" you can choose when running scripts in any of the competitions that supports scripts ( [Link]:https://www.kaggle.com/c/bike-sharing-demand/scripts, [Link]:https://www.kaggle.com/c/predict-west-nile-virus/scripts, [Link]:https://www.kaggle.com/c/digit-recognizer/scripts, [Link]:https://www.kaggle.com/c/forest-cover-type-prediction/scripts, [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/scripts, and [Link]:https://www.kaggle.com/c/restaurant-revenue-prediction/scripts). We'll render your output as HTML using the [Link]:http://cran.r-project.org/web/packages/rmarkdown/index.html and show it in the output tab. All of these competitions will show RMarkdown example code to help you get started if you choose the RMarkdown language. We're hoping that RMarkdown will help you tell a story with what you find in competition data sets. Here's some example output from [Link]:https://www.kaggle.com/users/3716/davidchudzicki/forest-cover-type-prediction/rmarkdown-starter-script the Forest Cover competition to give you a sense of what it looks like: Let me know if you have any questions or requested related to this feature!",11,gold,4,Sat Apr 25 2015 07:26:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13757,None,None
/tobiasmeyer,This competition eats my life,"Does anyone else have the feeling, he/she commits way too much time to this? I feel like a drug-addict who can only think about getting his next shot. I'm glad I didn't start earlier with this, so I just spent pretty much 5 days on this. There are other things I should be doing: Uiniversity- stuff, doing the lecture on graphics in AE, and maybe take advantage of the good weather in Germany? But hey, after 15 minutes I start to think about getting something more out of my model again... My problem might be, that I was unexpectedly successful with an early submit. This really got me on the hook. Anyone with similar feelings?",11,silver,13,Sat Apr 25 2015 09:54:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13758,/competitions/15-071x-the-analytics-edge-competition-spring-2015,49th
/signipinnis,relevant literature,"For any of you who like to mix a little theory/domain knowledge into your empirical work, I just found this most useful bit of prior history: [Link]:http://parasitesandvectors.com/content/pdf/1756-3305-3-19.pdf Marilyn O Ruiz 1*, Luis F Chaves 2, Gabriel L Hamer 3, Ting Sun 1, William M Brown1 , Edward D Walker 4, Linn Haramis 5 , Tony L Goldberg 3, Uriel D Kitron 2,6 Enjoy.",35,gold,8,Sat Apr 25 2015 10:11:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13759,/competitions/predict-west-nile-virus,249th
/ask788,Does binning numerical variables help model performance?,"I was just wondering but for numerical variables that take a big range of values (in this case maybe word count), does it help model performance if these variables were binned into a smaller subset of numerical values. For example Word Count could be 1-Very Short, 2-short, 3-Medium, 4-Long, 5-Very Long with cutoffs appropriately chosen for the word count. Doe anyone have any opinions on binning variables?",0,None,1,Sat Apr 25 2015 10:38:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13760,/competitions/15-071x-the-analytics-edge-competition-spring-2015,313th
/thewinner,Are these images correct?,I downloaded the trainingset. I found some images are not correct. Attached some example. I would like to know whether it is because of unziping or it is actually wrong? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74663/2366/766_left.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74663/2367/492_right.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74663/2368/492_left.jpeg,1,bronze,1,Sat Apr 25 2015 15:04:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13761,/competitions/diabetic-retinopathy-detection,None
/kpalyanichka,Team,Looking for a partner for creating the team language R my current rank 159yours current rank 100-200,1,bronze,1,Sat Apr 25 2015 15:11:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13762,/competitions/otto-group-product-classification-challenge,170th
/simon55,How to rank the different blogs,"Once we have the best results, I like to understand how we would rank the different Blogs. Thanks",2,bronze,2,Sat Apr 25 2015 16:33:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13763,/competitions/15-071x-the-analytics-edge-competition-spring-2015,805th
/oconnoda,Setting nodesize for randomForest,"For best accuracy use nodesize=1. Larger nodesize values can be used to reduce memory or CPU used by the algorithm. Leo Breiman (author of random forest) says: ndsize: setting this to the value k means that no node with fewer than k cases will be split. The default that always gives good performances is ndsize=1. In large data sets, memory requirements will be less and speed enchanced if ndsize is set larger. Usually, this results in only a small loss of accuracy for large data sets.",1,None,6,Sat Apr 25 2015 17:27:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13764,/competitions/15-071x-the-analytics-edge-competition-spring-2015,71st
/simon55,Cannot Resolve Random Forest Error ,"Please Help, I am getting the following error which is puzzling me: Error in predict.randomForest(modelRF, newdata = newDataFrameTest) : Type of predictors in new data do not match that of the training data. > sapply(newDataFrameTrain, class) H.ask H.can H.cancer H.death H.diabet H.diseas ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" H.doctor H.ebola H.exercis H.good H.like H.live ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" H.may H.new H.risk H.thanksgiv H.think H.tie ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" H.vegetarian H.weight H.well H.workout Popular WordCount ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""factor"" ""integer"" Days Hour S.can S.cancer S.diseas S.doctor ""factor"" ""integer"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.ebola S.exercis S.find S.found S.get S.health ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.help S.increas S.like S.make S.mani S.may ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.new S.one S.patient S.peopl S.reader S.report ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.research S.risk S.studi S.suggest S.take S.time ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.use S.way S.will S.work S.year NewsDesk ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""factor"" SectionName SubsectionName ""factor"" ""factor"" > sapply(newDataFrameTest, class) H.ask H.can H.cancer H.death H.diabet H.diseas ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" H.doctor H.ebola H.exercis H.good H.like H.live ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" H.may H.new H.risk H.thanksgiv H.think H.tie ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" H.vegetarian H.weight H.well H.workout WordCount Days ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""integer"" ""factor"" Hour S.can S.cancer S.diseas S.doctor S.ebola ""integer"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.exercis S.find S.found S.get S.health S.help ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.increas S.like S.make S.mani S.may S.new ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.one S.patient S.peopl S.reader S.report S.research ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.risk S.studi S.suggest S.take S.time S.use ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""numeric"" S.way S.will S.work S.year NewsDesk SectionName ""numeric"" ""numeric"" ""numeric"" ""numeric"" ""factor"" ""factor"" SubsectionName ""factor"" THANKS",0,None,9,Sat Apr 25 2015 17:49:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13765,/competitions/15-071x-the-analytics-edge-competition-spring-2015,805th
/fatoddsun,Sharing is caring: shall we form a team?!,"Hi everyone! I've just joined the competition and will start eating data very soon! It'd be nice to work in a team of two or three people, to share, learn more and be more productive. Anyone interested? I have little knowledge of machine learning techniques and I am open to collaborate with any person at any level! Peace and love.",0,None,7,Sat Apr 25 2015 18:56:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13766,/competitions/pkdd-15-taxi-trip-time-prediction-ii,310th
/zhouhao,"How to classify the Class_2, 3, 4 better","Anyone notice that Class_2, Class_3, and Class_4 are so similar? I found out all the normal classifiers (Logistic Regression, Random Forest or other ensemble classifiers based on decision tree models) couldn't efficiently distinguish them. And since Class_2 are in a population much larger than Class_3 and Class_4, all my trained classifier seems to misclassify products in Class_3 and Class_4 as Class_2 (about 40% error rate). My thinking is that they are not linearly separable. Does anyone have the idea how to classify them better? I'll appreciate it a lot. :)",1,bronze,10,Sat Apr 25 2015 19:44:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13768,/competitions/otto-group-product-classification-challenge,106th
/ahffan,The training set contains data till 2014.So what is the predictions supposed to be?,I can see the training set also contains the details of the items sold till 2014. So what should some one predict for test. Cant some one copy it directly and still be on the leader board. Or Am I missing something ?,0,None,4,Sat Apr 25 2015 20:08:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13769,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/del=444c9806405403bd,City again,I am interested if people here decided to use City and Type in their models?Tnks!,1,None,17,Sat Apr 25 2015 20:16:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13770,/competitions/restaurant-revenue-prediction,688th
/del=31266933b85a2395,Different str of Test and Train,"Hi all, After applying bag of word to Train and Test data, I have different number of predictor variables. Which makes sense, because articles in Test and Train data set have different words, consequently output of bag of words on them has different number and names of variables. It causes an error when trying to make predictions on Test data set, as I built model using Train data set variables, and some of them do not exist in Test data. Any suggestions on that? Is there any way to tell predict function to ignore variables that do not exist in newdata, but exist in train data? Thanks",0,None,2,Sat Apr 25 2015 20:49:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13771,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1802nd
/ask788,Cannot install grep in R 3.1.2,"Someone suggested that I should use grep to extract information from strings in the abstracts and headlines. However, this package does not exist for the most recent version of R. Does anyone have any other alternatives. Thanks!",0,None,2,Sat Apr 25 2015 20:50:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13772,/competitions/15-071x-the-analytics-edge-competition-spring-2015,313th
/abhisheksimhadri,Messy Data - New information appears in the Test Set,"Hi, I was looking at the data once again and I am not sure if this was done deliberately by the Kaggle team. This is getting more and more intriguing. The train set has the following cities: Ä°stanbul Ä°zmir Adana Afyonkarahisar Amasya Ankara Antalya Aydın Åžanlıurfa Balıkesir Bolu Bursa Denizli Diyarbakır Edirne Elazığ EskiÅŸehir Gaziantep Isparta Kırklareli Kütahya Karabük Kastamonu Kayseri Kocaeli Konya MuÄŸla Osmaniye Sakarya Samsun TekirdaÄŸ Tokat Trabzon UÅŸak Of which Amasya, Elazığ, Karabük, Kastamonu, Osmaniye and Tokat do not appear in the Test set. (Actually this is OK, doesn't really matter in solving the problem) New cities like - Çanakkale Çankırı Çorum, Aksaray, Artvin Aydın Åžanlıurfa Balıkesir Batman Bilecik Bolu Bursa Düzce Denizli Diyarbakır Edirne Erzincan Erzurum EskiÅŸehir Gaziantep Giresun Hatay Isparta Kırıkkale KırÅŸehir Kırklareli Kütahya KahramanmaraÅŸ Kars Kayseri Kocaeli Konya Malatya Manisa Mardin Mersin MuÄŸla NevÅŸehir NiÄŸde Ordu Rize Sakarya Samsun Siirt Sivas Tanımsız TekirdaÄŸ Trabzon UÅŸak Yalova Zonguldak are appearing in the Test set. How can anyone predict revenue in a new city especially when NO samples of those cities appear in the train set? The revenue potential would DEFINITELY depend on the city. It makes business sense. In addition there is a new ""Type"" - MB that is appearing in the Test set. If there are new values (of existing variables) that appear in the Test set, how should such cases be handled? Any pointers? Running algorithms blindly may not yield suitable results here due to the nature of the data sets. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/74729/2372/Cities_Comparison.xlsx",0,None,6,Sat Apr 25 2015 20:56:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13773,/competitions/restaurant-revenue-prediction,621st
/emkayge,Submission Error?,"I keep getting: ""ERROR: Expected 'Id' column to be of type 'Int32', but was 'String' ERROR: Unable to convert 'Id' column row 84880 value '1e+05' to expected type 'Int32' ERROR: Unable to convert 'Id' column row 184880 value '2e+05' to expected type 'Int32' ERROR: Unable to convert 'Id' column row 284880 value '3e+05' to expected type 'Int32' ERROR: Unable to convert 'Id' column row 384880 value '4e+05' to expected type 'Int32' ERROR: Unable to convert 'Id' column row 484880 value '5e+05' to expected type 'Int32'."" when my file has no strings in it, apart from column names. A peek at my file: ""Id"", ""Cover_Type""15121, 515122, 115123, 115124, 115125, 115126, 1 It ends on Id #581012. I have no idea why this submission won't take. I used the same code to write the file as my other submissions. My only change was the file names and the methods I used to get the predictions. Any ideas? Or anyone with similar problems?",0,None,1,Sun Apr 26 2015 19:31:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13788,/competitions/forest-cover-type-prediction,785th
/ask788,How to do an exact word match using grepl?,"Hi, I'm trying to use grepl to extract certain words that might show up in headlines. However, I'm running into the problem that grepl will return true if it finds that string in a substring of the words. For example: If I want to find all headlines that include the word ""is"", grepl will return true even if the word is ""his"" or ""this"" which I don't want. How can I get an exact word match only? Thanks!",0,None,6,Sun Apr 26 2015 22:21:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13790,/competitions/15-071x-the-analytics-edge-competition-spring-2015,313th
/serendipity2,RF AUC out of sample ,My RF AUC typically falls by 0.02 when I submit it to the test on kaggle. Are other people finding this. Likewise I did cv.fit on logistic model using glmnet and found similar drop in performance.,0,None,2,Sun Apr 26 2015 23:20:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13791,/competitions/15-071x-the-analytics-edge-competition-spring-2015,162nd
/carloshuertas,Small bug on Leaderboard,"I think I have found a bug on the way the leaderboard gives you the result of the submission. Case: Upload a new submission that improves your current best score but do not improve enough to move you up positions on the LB. What happens?: The system tells you is not an improvement (even when it is) Expected: If its an improvement, notify the user.",4,bronze,5,Sun Apr 26 2015 23:28:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13792,None,None
/ssampang,Using Pre-Trained networks,"Hi, Can we use a pre-trained network (e.g. http://www.vlfeat.org/matconvnet/pretrained/) as a part of our classifier?",2,bronze,8,Sun Apr 26 2015 23:51:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13793,/competitions/diabetic-retinopathy-detection,194th
/ask788,Dealing with Boolean Independent Variables,"This might be a silly question but for boolean independent variables that only have a TRUE or FALSE value, do I need to convert them to factors before running the modeling algorithm? Also, is there a difference between converting to factor or numeric(either 1 or 0)? Which is better for modeling purposes or does the model not care?",0,None,1,Mon Apr 27 2015 00:12:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13794,/competitions/15-071x-the-analytics-edge-competition-spring-2015,313th
/andrewhepburn,Leaderboard is calculated on 60% of the test data,"I've been meaning to ask about this for a few days: This leaderboard is calculated on approximately 60% of the test data. The final results will be based on the other 40%, so the final standings may be different. Why does Kaggle do this, and does it mean we could end up with much worse rankings than we currently anticipate?",0,None,2,Mon Apr 27 2015 00:15:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13795,/competitions/15-071x-the-analytics-edge-competition-spring-2015,100th
/neuralnetworks,Stacking / Ensembling Modules,"Hi all, I was wondering if anyone has any suggestions for good frameworks to use for stacking / ensembling. (ideally in python) Features I am looking/hoping for: Data Splitting - an iterative process that finds the best data split for your training data given a certain model. (plotting learning curves would be great too) Cross Validation (a stratified version for the ensemble) A few I have stumbled across in the past: Medley ( r module - regression only ) - https://www.kaggle.com/forums/f/15/kaggle-forum/t/3661/medley-a-new-r-package-for-blending-regression-models/21278#post21278 caretEnsemble (r module regression only ) - https://github.com/zachmayer/caretEnsemble mlxtend (python module) - https://github.com/rasbt/mlxtend Thanks for any help!",0,None,3,Mon Apr 27 2015 02:35:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13796,/competitions/otto-group-product-classification-challenge,71st
/mateusbpontes,RandomForest changing factor variables to binary variables,"I saw a lot of topics about the the difference of levels between Training and Test set. None of them seem to be the same problem that I have both my Train and Test have the SectionName, NewsDesk and SubSectionVariables with the same levels. After running the following lines tr.control = trainControl(method = ""cv"", number = 20)cp.grid = expand.grid( .cp = (0:10)*0.001) rf = train(Popular ~ ., data=TrainProcessed, method = ""rpart"", trControl = tr.control, tuneGrid = cp.grid) tree = rf$finalModel my tree has these variables with the following values (for example, for SectionName): SectionNameCrosswords/Games, SectionNameOpinion, and so on. Even though these variables in the Training Set were factors. Because of these, I can't use the Test set on this model 2 questions: 1)Why this happens? 2)How can I change the Test set so it can work in this model? For this, I think I need to transform eache n-value factor variable into n-1 variables. I couldn't find a way to do it",0,None,1,Mon Apr 27 2015 02:54:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13797,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2001st
/surovikovm,RF vs GLM factors selection,"Hi everybody, I want to clear the followng question. Is the strategy of selecting factors and their number for a model the same for GLM and RF? I created a considerably good GLM with 17 carefully selected factors, which gave me Kaggle AUC = 0.92155. All the factors have p-values < 0.01 (that was the selection criteria). But when I try RF with the same set of predictors, my AUC stays nearly the same, even gets a little worse. I was expecting it to grow, because many people state that RF gives better score. I have tried RF with different nodesizes and stopped at nodesize around 20-30. Less nodesizes (15, 10, 5) perform worse both when checking the model with Test data and by Kaggle. What would you suggest me, how to select factors for RF, why my factors which work good for GLM don't allow to get better results with RF? Doesn't setting nodesize to 1/2 lead to overfitting? Your help would be very much appreciated.",0,None,4,Mon Apr 27 2015 04:24:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13798,/competitions/15-071x-the-analytics-edge-competition-spring-2015,490th
/iglovikov,What models may give score under 0.5,"Hello everyone,I know that it wad already discussed how far can you go with one a single model, so I apologize that my question is similar in some sense.But people discussed what is lowest LogLoss score one can achieve with a single model and I am interested in slightly different question.I am not asking what is your score. I am asking, what is your model. (I am not asking about parameters, I would prefer to find them myself)My problem is that I was able to get 0.43702 with nolearn/lasagne and 0.43447 using extreme gradient boosting in Graphlab. Blending these 2 methods allowed me to get 0.42815.And this was great. But I can not see how I can get more out of these 2 models, so my next attempt will be to to add third model.So, again, my question is: what models gave you score under 0.5?",5,bronze,91,Mon Apr 27 2015 04:26:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13799,/competitions/otto-group-product-classification-challenge,159th
/kschluns,Advice for Beginner,"Hi, my name is Kyle. I am new to Kaggle and am interested in this specific competition to teach myself image processing. I searched through the forums and didn't really see any good beginner threads. I have some questions, if anyone could help me out. I should also say that my overall goal here is to gain experience in image processing, with the specific purpose of being able to leverage this experience in a future job interview. So I ultimately would like to accomplish this project in a way that a software/research company would go about doing it. My specific career interests are in aerospace and astrophysics, so if anyone has an specific insights on how this project might relate to the aerospace industry, I'd love to hear it. The easiest language that comes to mind for this project is Python, but I have too much scripting programming experience and would like to directly dive into object oriented programming. Is this project doable in C++? What packages lend themselves well to this project? Is computer performance a big deal with this project? I'm not really trying to make the fastest algorithm, I just want to write something that works and that would be on-par with something a commercial company would produce. Can I just code all this on my shitty laptop? Are there any recommended resources to help learn about image processing algorithms, packages, etc? While these are the only questions I have right now, I will certainly have more once a conversation builds up. I hope to make this an ongoing thread about how to get started with this project. Thanks!",4,bronze,9,Mon Apr 27 2015 04:40:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13800,/competitions/diabetic-retinopathy-detection,None
/bonson,Logistic Regression model,"Hello, I just started with the exercise and I took the following steps: 1. Broke the date field into Day, Month, Year and Time. 2. Split the test data into train and test (0.75) 3. Created a linear regression model using WordCount + WeekdayNumber + Hour I am getting an AIC of 4025 and *** next to Wordcount and Hour. This seems to suggest that WeekdayNumber (i.e. The day of the week in the date like 1= Sunday, 2= monday) is not important. Am I doing it correct? What should I do next? Regards Bonson",0,None,2,Mon Apr 27 2015 07:59:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13801,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1586th
/gmanish,SnowFall vs Preciptotal,"There are observations in weather data where (weather.date=='06-01-2012') & (weather.station_nbr==2) the codesum is 'SN', snowfall is 0.2 and preciptotal i s 0.01. If it snowfall is already given as 0.2 than what does preciptotal infer here. Kindly help.",0,None,1,Mon Apr 27 2015 08:04:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13802,/competitions/walmart-recruiting-sales-in-stormy-weather,304th
/gayathrimn,Please help in finding a way to add words only of my choice,"Hi, I have collected few important words using wordcloud, significant words, but i am not able to combine them alone with my dataset.. :( i have to create document term matrix and manually remove and add the words in excel, Is there any way in R where after getting the high frequency words by using either findFreqTerms function and wordcloud, we can add only those words as columns to our dataset? Please help Thanks, Gayathri",0,None,2,Mon Apr 27 2015 10:02:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13804,/competitions/15-071x-the-analytics-edge-competition-spring-2015,950th
/complexiscool,RF Vs GLM AUC,I am getting auc of 0.92xx with my Logistic Regression Model and 0.82xx with Random Forest. Can somebody explain possible reason for that. And where am I missing in Random Forest model?,0,None,1,Mon Apr 27 2015 10:21:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13805,/competitions/15-071x-the-analytics-edge-competition-spring-2015,707th
/ksodipo,Submission issues,"Please, could the administrators fix the submission script? I've tried everything I get an Error saying the first date cannot be found.",-1,None,22,Mon Apr 27 2015 11:52:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13806,/competitions/bike-sharing-demand,44th
/rawis90,Raspberry Pi + Data Science (Thesis),"Hi Guys, I'm supposed to submit my M.S. thesis subject to my supervisor. Of course I would like to focus on data science/data mining. In my B.S thesis I focused on predictive analytics using R, now I want to do some much more advanced. I wonder how can I combine Raspberry Pi and data science. Especially, how Rasberry Pi may be used in predictive analytics/Big Data/data mining/Artifficial Intelligence etc. I'm a newbie on robotics at the moment. Do you have any ideas what is worth to focus on?",2,None,11,Mon Apr 27 2015 14:04:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13807,None,None
/chechir,random forest cross validation,"Hello, I'm getting good results with a random forrest and cross validation aproach using caret, however they are too dam good in my train set. I'm getting almost 100% AUC in the training set (which is kind of odd), but of course that is not reflected in the test data. How could I determine at what degree I'm overfitting before submiting to Kaggle? At the moment I've been removing variables in terms of ""importance"", so, in this way, I can have an AUC in the train set more reasonable, but it's weird to work to decrease your AUC. This is where I train the RF: tr = train(AbstractWordsTrainTRF, Yvals, method=""rf"", nodesize=5, ntree=1000, metric=""ROC"", trControl=fitControl, allowParallel=T) Any suggestions to move forward? Thanks!",0,None,29,Mon Apr 27 2015 14:47:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13809,/competitions/15-071x-the-analytics-edge-competition-spring-2015,12th
/domcastro,Unspecified Culex,"I find it strange that the species ""UNSPECIFIED CULEX"" is in every year of the test set but in no years in the train set. Have they been removed from the train set?",1,bronze,15,Mon Apr 27 2015 15:07:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13810,/competitions/predict-west-nile-virus,8th
/satanthinks,desperately trying to submit... but wtf??,"I came in a little late, and since today is the deadline for the first submission, I decided to submit my unrefined version before time goes out. But what is this? It all of a sudden seems to ask for an SMS verification code, without which it refuses to let me submit, it does not send over the SMS, and explains that if I am sending it from India, between 9PM and 9AM, then the SMS will reach me tomorrow!!! Why then can't I send my submission tomorrow, as well? Why was this not revealed to my while I downloaded the data? I do think I happened to give my phone number just a few minutes before 9, but what is this, really? Are you guys trying to stop people from submitting? I'll have net access till 10pm, and it is 9:29 now. Please let me know if there is a remedy. thanks, ...namus.",-4,None,4,Mon Apr 27 2015 18:00:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13812,/competitions/restaurant-revenue-prediction,None
/mdomar,Headline WordCount & Abstract WordCount,"I have added to new variables Headline Wordcount and Abstract WordCount, I see there is a reasonable correlation with the dependent term.But when design a model adding these variables the ROCR decreases. I didnt understand whats the issue of this.",0,None,2,Mon Apr 27 2015 18:45:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13813,/competitions/15-071x-the-analytics-edge-competition-spring-2015,419th
/migugf,my submission different than my prediction,"I made a good model but when i tried to do the submission i got an error. Showing me negative values. If I examine the .csv i clearly see these negative values but if i check the submission data frame i R i got 0 as the minimum value. What's going on? > write.csv(MySubmission, ""Submission1.csv"", row.names=FALSE)> summary(MySubmission) UniqueID Probability1 Min. :6533 Min. :0.000000 1st Qu.:7000 1st Qu.:0.003548 Median :7468 Median :0.027200 Mean :7468 Mean :0.175330 3rd Qu.:7935 3rd Qu.:0.214235 Max. :8402 Max. :0.966975 help pleeease",0,None,13,Mon Apr 27 2015 19:14:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13814,/competitions/15-071x-the-analytics-edge-competition-spring-2015,927th
/billseliger,Interesting Visualizations?,I did a search in the forums but nothing came up. Has anyone created any interesting visualizations of the data? I will post up some wordclouds once I have them complete. Does anyone else have anything interesting to share?,0,None,8,Mon Apr 27 2015 23:28:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13817,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2382nd
/sjuvekar,Time Obfuscation,"Does time-obfuscation maintain monotonicity? That is, if original times t1 and t2 had relation t1 < t2, then do their obfuscated counterparts T1 and T2 also satisfy T1 < T2?",7,bronze,20,Tue Apr 28 2015 00:08:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13818,/competitions/facebook-recruiting-iv-human-or-bot,None
/lionel1,Best way to assess model without submitting,"Hi folks, What do you think makes more sense in order to asses your model without submitting on Kaggle? - Training your model on the full train set, then predicting on the full train set again (and computing corresponding AUC) - Splitting the train set provided into a sub-train set, where we train our model, and a sub-test set (for which we have ""Popular"" values), where we make out-of-sample predictions? Thanks in advance! Lionel",0,None,12,Tue Apr 28 2015 02:14:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13819,/competitions/15-071x-the-analytics-edge-competition-spring-2015,363rd
/s0912231,Isn't submission at 11:59 pm on April 27th?,it is not letting me submit at 9:30 when it clearly says on the timeline the deadline for first submission is at 1159 pm on the corresponding day.,0,None,2,Tue Apr 28 2015 03:31:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13820,/competitions/restaurant-revenue-prediction,None
/wangfelix,"Is there any way to reconsider ""Deadline for new entrants""?","Because the problem of SMS verification, I just missed the deadline for new entrants by 3 hours. That is really painful. Is there any way to make an exception and extend this deadline? A lot of hard work just went to waste.",-1,None,4,Tue Apr 28 2015 05:48:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13821,/competitions/restaurant-revenue-prediction,None
/a4ashwinee,Can not do SMS verification,"I am from india & had already added a request to remove my name from DNC list yesterday, but it seems like they will really take around 7 days to remove my name from the list. Is there any other method verification? I want to put my results in MIT competition & due date is Monday.",55,None,49,Tue Apr 28 2015 06:03:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13822,None,None
/hassiktir,unique identifier of auction should be one item right?,"why do some auction id's have multiple different merchandise categories, or does that mean it may fall under multiple categories?",8,silver,11,Tue Apr 28 2015 06:59:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13823,/competitions/facebook-recruiting-iv-human-or-bot,702nd
/ask788,Can't get pred probs with GBM ,"I'm trying to build a GBM model but I can't get probabilities in my prediction output. This is my first time building a GBM model and I don't know how it works. It would be great if someone can help me out. This is my code: myControl_2 <- trainControl(method='cv', number=3,returnResamp='none') model_gbm <- train(Popular~., data=nytimestrain, method='gbm', trControl=myControl_2) response_column <- which(colnames(nytimesTest) == ""Popular"") predictions_gbm <-predict( model_gbm, newdata = nytimesTest[, -response_column], type=""prob"" ) I get the following error: Error in `[.data.frame`(out, , obsLevels, drop = FALSE) : undefined columns selected Can someone please help me out? I've also tried the other way and that doesn't work too. model_gbm_2 <- gbm(Popular~., data=nytimestrain,n.trees=150,distribution=""bernoulli"",interaction.depth=3,shrinkage=0.1) gbm_preds <- as.numeric(predict(object=model_gbm, newdata=nytimesTest))",0,None,15,Tue Apr 28 2015 08:19:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13825,/competitions/15-071x-the-analytics-edge-competition-spring-2015,313th
/poppyqueen,"A human bidder with different device,country and ip","I can see that a single human bidder in the same auction, has different devices, countries and ip adds. In what case is this possible?",0,None,16,Tue Apr 28 2015 10:00:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13826,/competitions/facebook-recruiting-iv-human-or-bot,None
/florian13,Leaderboard: Better score not detected/used?,"Hi, my best score in the ranking displayed is 3.28393. Today I submitted a new solution, and the output was that my new score of 3.28284 (slightly smaller = better !?) was not an impovement. According to the other leaderbord scores, this new score should even have moved my ranking up sligtly (1 position). To my understanding, the new better new score should appear in the leaderboard now and taken as the best score and I should move up 1 position - or am I missing something? I hope it is not a bug... Thanks for the clarification!Best F",0,None,2,Tue Apr 28 2015 10:39:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13827,/competitions/pkdd-15-predict-taxi-service-trajectory-i,73rd
/iamrrinni,How to convert .bin file of Word2Vec  model  into .txt? (R),"I want to make ""word vectors"" by using tmcn.word2vec package in RStudio. As a result I have made w2v model (.bin file). How to extract ""word vectors"" from .bin file in R to use it as features? In Python , as I read, we can use gensim package for it.",0,None,14,Tue Apr 28 2015 12:33:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13828,/competitions/word2vec-nlp-tutorial,None
/ababab2828,"How to ""pause"" a Random Forest cross-validation trial?","I have tried a RF cross validation run, but it last for more than 12 hours. Example: tr = train(AbstractWordsTrainTRF, Yvals, method=""rf"", nodesize=5, ntree=500, metric=""ROC"", trControl=fitControl, allowParallel=T) I need to go home so I do not want to stop it with ESC, but rather than using something like ""Pause"" so I could continue the ""exercise"" after returning home. Is there something like ""Pause"" exist in cross validation when using ""train"".",0,None,9,Tue Apr 28 2015 15:38:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13832,/competitions/15-071x-the-analytics-edge-competition-spring-2015,555th
/wally007,Random Forest?,"Hi all, newsRF = randomForest(Popular ~ ., data=Train) *** Warning message: *** In randomForest.default(m, y, ...) : The response has five or fewer unique values. Are you sure you want to do regression? Done, Corpus, Dataframe, Split, and I got the warning. so, any idea?? For 12 days, still trying to make a simple model and still not successful with any... Wanna give up, quit but , I don't know, feel like participating in race that meant not for me.... very discouraging... :< Thanks for your enlightment!",0,None,4,Tue Apr 28 2015 16:27:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13833,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1624th
/migugf,Amateur Vs Pro Runners,"Sometimes me, an amateur ""runner"", I feel like if I'm competing with professional guys who know and develop some pro techniques. One of the ""pro"" techniques that i have read that is giving really good results is: - Ensembling models Can someone help us with a ""Ensembling models for dummies""?",0,None,13,Tue Apr 28 2015 16:33:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13834,/competitions/15-071x-the-analytics-edge-competition-spring-2015,927th
/andrewhepburn,Previous entrants and master kagglers,"I can't help noticing that some of the higher scores on the leaderboard are from people with significant Kaggle experience and even some people who have already taken the Analytics Edge course in previous years. I'm not sure what the motivations of these people are, but it looks like many of the top slots are likely to be taken by these people. Will this affect the scores of those of us who are actually taking the Analytics Edge course?",3,bronze,5,Tue Apr 28 2015 17:38:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13836,/competitions/15-071x-the-analytics-edge-competition-spring-2015,100th
/mdonov,Merging predictions from two clusters,"Hello, I'm having problem with submitting my results from two clusters I made. I used this as a beginning AllPredictions = c(Predictions1,predcitions2) I can see that for each prediction, there is a number(probability) corresponding to an ID or the number of the row I guess. e.g. it begins with 6533, 0.242, at some point it reaches 8402,0.79 and then just right after that, it starts again from 6542,probability. The document AllPredictions is not a data frame.I'm wondering.. Can I make it to a data frame, maybe sort somehow the values in it by the the first column, which has something that looks like the ID and then convert it back to the document format that I need for the submission...(which I also don't what it is) If anybody has any ideas, please shoot :)) I'll appreciate any advice Martin",0,None,4,Tue Apr 28 2015 18:06:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13837,/competitions/15-071x-the-analytics-edge-competition-spring-2015,127th
/carloshuertas,No data for some bidders?,"Is it me, or there is no data (other than address and payment) for some bidders? e.g.:Bidder id: b24e3af20453813e821f5a22ff55e072tgton(found on line 98 in test.csv) But, not present in bids.csv",2,bronze,9,Tue Apr 28 2015 18:15:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13838,/competitions/facebook-recruiting-iv-human-or-bot,83rd
/sofus312568,Welcome to all participants!,"I would like to welcome all participants to this exciting competition. The difficulty of dealing with real and noisy data is what we live with every day at Facebook, and this problem is reflected in the competition. We are very excited to see the solutions you all come up with, and I very much look forward to reviewing the final results. I also look forward to hopefully meeting some of you in person as we get into interviews. I would normally say good luck, but in this case I hope that will not be needed. Skills, creativity and working at the problem are what will likely be the differentiators. With that said, welcome again to all the participants! - Sofus Macskassy - Manager, Applied Machine Learning - Facebook",12,silver,1,Tue Apr 28 2015 20:39:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13839,/competitions/facebook-recruiting-iv-human-or-bot,None
/tomaz10428,positive and negative opinion words,Are we allowed to use Lu and Hiu's lexicon of positive and negative opinion words? Technically this is external data but these words could as well be included (hidden) in some R package and would then not be treated as external.,0,None,1,Tue Apr 28 2015 22:38:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13842,/competitions/15-071x-the-analytics-edge-competition-spring-2015,547th
/john331631,"Questions about: sparsity, Multi-collinearity, my bag of words approach","1. Abstract + Snippet appear to be correlated, yet I don't see why this should impact the final model performance. It will throw off the p values for the individual predictors, but not final performance, Correct? Why or why not? If i am correct, then should i worry about negative performance impact by including both in my model? I feel this is the biggest curve-ball in the competition. I'm unsure how to think about these two overlapping variables. 2. Sparsity: ""The sparsity threshold works as follows. If we say 0.98, this means to only keep terms that appear in 2% or more of the tweets. If we say 0.99, that means to only keep terms that appear in 1% or more of the tweets. If we say 0.995, that means to only keep terms that appear in 0.5% or more of the tweets, about six or more tweets."" -- In other words, the lower the threshold, the less features will be included in your model, correct? Intuitively, i would think we want a higher threshold for Headline because has less words, and lower for Abstract because it has more. Why or why not? 3. My first approach was to use Headline, Snippet, and Abstract, doing all of the pre-processing taught to us, with sparsity .99. I prefixed each, H, S, A. The model did very poorly. To my surprise, >.9 can be reached without bag of words. This threw me off -- the idea that a sophisticated approach like bag of words can do more harm than good. I think the lesson learned is to start small and understand every variable you add to the model. Any other comments on why this approach is ill-advised is appreciated.",0,None,3,Wed Apr 29 2015 00:59:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13843,/competitions/15-071x-the-analytics-edge-competition-spring-2015,435th
/paulgowder,"woah, GBM crashing R?",Has anyone else tried to fit a GBM model and had it take out R altogether? This happened to me twice in a row (screenshot attached)... craziness [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75329/2384/Screenshot 2015-04-28 19.12.01.png,0,None,4,Wed Apr 29 2015 01:14:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13845,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1009th
/sbalajis,Feature Engineering,Anyone had success with feature engineering?,2,None,2,Wed Apr 29 2015 03:13:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13846,/competitions/restaurant-revenue-prediction,1501st
/del=44f2d26d91dbd008,Help with R,"Hi all! I am trying to learn R for this competition. Can someone tell me how can I merge bids and train files by bidder_id ? I have tried merge command so far. is there anything else for this? Here is the command I use. bids <- data.frame(read.csv(file=""data/bids.csv"", head=TRUE, sep="",""))train <- data.frame(read.csv(file=""data/train.csv"",head=TRUE, sep="","")) m <- merge(bids, train, by.x=""bidder_id"", by.y=""bidder_id"") Thanks.",0,None,12,Wed Apr 29 2015 08:22:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13847,/competitions/facebook-recruiting-iv-human-or-bot,703rd
/suhasdheeraskar,Is the prediction count actually 4700?,I'm getting a result of human bidders as 6512 out of 7656335 bids. Total robot bids were found to be 7649823 considering the single constraint mentioned to identify robots. The constraint is just bidder_id against the outcome(1.0) of trained data. The total amount of time taken to complete execute is exactly 4 minutes.,-1,None,3,Wed Apr 29 2015 13:38:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13849,/competitions/facebook-recruiting-iv-human-or-bot,None
/juan001,Is random forrest worse than logistic regression?,"Hello everyone, I now I tried random forrest and logistic regression and got 0.87867 for RF and 0.90663 for LR. The following are the formula I used for RF and LR. randomForest(Popular ~ NewsDesk + SectionName + SubsectionName + Weekday + Hour + LogWC, data=train) glm(Popular ~ NewsDesk + SectionName + SubsectionName + Weekday + Hour + LogWC, data=train, family=""binomial"") Juan",0,None,23,Wed Apr 29 2015 14:35:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13850,/competitions/15-071x-the-analytics-edge-competition-spring-2015,946th
/valerioorfano,Lasagne with 2 hidden layers,"Hi using Lasagne with 2 hidden layers i got a score of 0.48303, pretty good compared to 0.7 using GBC. But i cannot improve this score. This is the local minima i get and not able to get the global minima. I was thinkig to use Lasagne-Convolution Network. I know it is used for image detection. i Don't have experience with it at all. As far as you know do you think it would be a good idea? Rgds valerio",1,bronze,20,Wed Apr 29 2015 15:35:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13851,/competitions/otto-group-product-classification-challenge,971st
/jamesdlawrence,rows with 50 mosquitos,"I have a few questions about how the train and test data sets are formulated: In the description, it says ""when the number of mosquitos exceed 50, they are split into another record (another row in the dataset), such that the number of mosquitos are capped at 50."" My questions are: 1) Let's say we observe 80 mosquitos, and one of them (let's say #60) has WNV. This is two lines in the training data set with NumMosquitos=(50,30). But is WnvPresent=(0,1) or (1,1)? 2) Let's look at rows 294,295,296,297: NumMosquitos Date Trap294 50 2007-07-11 T086295 35 2007-07-11 T086296 50 2007-07-11 T086297 8 2007-07-11 T086 These relate to the same species and trap on the same day. Is it safe to assume that there were two observations that day, with 85 and 58 mosquitos respectively? 3) Is the same protocol in force for the test data? There are some consecutive rows in the test dataset with duplicated Date, Species and Trap. Does this mean that 50 mosquitos were observed there?",3,bronze,2,Wed Apr 29 2015 16:36:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13852,/competitions/predict-west-nile-virus,133rd
/lhayes,"Order for Combining bag of words - lost, please help!","I’d really appreciate some help understanding why I get this error after trying to combine bag of words for “HeadlineWords” and “Abstract” and putting them into my model: invalid type (list) for variable 'HeadlineWords’' I think I’ve misunderstood the order I’m supposed to do this in. Should I:1: make separate corpera - one containing the training and testing sets for Abstract and one for HeadlineWords, then preprocess them both separately, make separate dtm’s for each, remove spasrse terms for each, turn both into dataframes, paste a letter in front using colnames ,then cbind Abstract and HeadlineWords, then split back into training and testing sets.At this point, can I add them back to NewsTrain and NewsTest? Do I add them back in by cbinding to NewsTrain and NewsTest? or2. Do the same as above, but split back into training and test sets before cbinding HeadlineWordsTrain to AbstractTrain and NewsTrain and HeadlineWordTest to AbstractTest and NewsTest? or am I completely off the mark? Any tips would be really appreciated.",0,None,1,Wed Apr 29 2015 17:58:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13853,/competitions/15-071x-the-analytics-edge-competition-spring-2015,971st
/noodles0,Do we need to convert char variables as factors ?,"I am curious to know under what circumstance we need to convert a variable to a factor type (NewsDesk, SectionName, SubsectionName, Popular, Weekday etc.,)? Does it matter for the model to use char variables vs factor variables when a model is created?",1,None,2,Wed Apr 29 2015 18:00:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13854,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1620th
/aaronhartfield04,strptime,"I am attempting to convert the PubDate using strptime and creating 2 variables for weekday and hour. However, after I use the functions provided in lecture for the weekday and hour, I get NA's in the PubDate, weekday, and hour columns. I can verify the NA's when I look at the summary of the data frame. Can anyone help? Here is the code I am attempting to use? tempTrain = NewsTraintempTest = NewsTesttempTrain$PubDate = strptime(tempTrain$PubDate, format = '%Y-%d-%m %H:%M:%S') tempTest$PubDate = strptime(tempTest$PubDate, format = '%Y-%d-%m %H:%M:%S') tempTrain$weekday = weekdays(tempTrain$PubDate)tempTest$weekday = weekdays(tempTest$PubDate)tempTrain$hour = tempTrain$PubDate$hourtempTest$hour = tempTest$PubDate$hour",1,None,2,Wed Apr 29 2015 18:15:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13855,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1887th
/pierregutierrez,External data,"I think it's too bad the organisers of the challenge did not authorise external data. For example, a pretty obvious feature is : traj indicate going to north to the airport. I wonder : - if I'm already cheating because I projected the data on a map to have some understanding and I saw with leaflet there was an airport. I could thus create manually features like going to the north and long > treshold. - most of us don't want the price but the position on leaderboard. It seems impossible to check that someone used external data like meteo info or foursquare checkins. - is it really interesting for research purposes not to use available info ? Model will simply overfit airport presence and direction instead of using it directly. Any thoughts ?",0,None,3,Wed Apr 29 2015 18:36:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13856,/competitions/pkdd-15-predict-taxi-service-trajectory-i,132nd
/gayathrimn,Text Patterns...but still no use at all! I am just breaking my head:(,"Hi, As some people suggested in the forum i used grepl for finding out text patterns. I was able to find some interesting patterns like if there is Daily report word in the headline (in Newsdesk business and SectionName Technology) , all the articles are not popular. Likewise if there is Friday Night in headlines of Oped->Opinion articles are not popular so i used totaltrain$isfridaynight = ifelse(grepl(""Friday Night"", train$SectionName, fixed = TRUE ),1,0) i found many such patterns and created predictor variables like this. I used this approach in the bag of words model(which contains all important words)., but everything in vain. I am not able to find any improvement. I have tried really a lot but no improvement. Please help in creating good model. Thanks, Gayathri",0,None,45,Wed Apr 29 2015 18:54:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13857,/competitions/15-071x-the-analytics-edge-competition-spring-2015,950th
/isalbi,k-fold on dataset,"I have been doing a specific check of k-fold technique to see the difference using different number of folds and the corresponding result on the score obtained. To perform this test I have made several runs with all possible number of folds and several iterations with shuffle activated. The number of iterations have depended on the number of folds to be consistent on the number of possible combinations, as explained in http://stats.stackexchange.com/questions/27730/choice-of-k-in-k-fold-cross-validationnumIters = int(maxIters / numFolds)+1, where maxIters is a number of the possibilities performed (1000 [=100x10] in the example above). This procedure has given me several scores with a wide variety of results, so I decided to check the statistical scattering for mean and/or percentiles. From this kind of result, can it be concluded that with Leave-One-Out method the result will be the best on a test dataset? Of course, in this competition case we have seen that the dataset is very short to conclude something similar but if the dataset would be large enough?I know that Leave-One-Out is a specific case where the number of folds is equal to the number of features.But I would like to know looking to the results if the Leave-One-Out always gives the lowest mean score, and therefore, it should be used if computationally available as k-fold methodology is used to reduce the amount of computation time for long datasets. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75453/2387/kFold.png",1,bronze,5,Wed Apr 29 2015 19:34:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13858,/competitions/restaurant-revenue-prediction,596th
/mpekalski,bids.csv,Am I wrong or description of bids.csv is missing one column?,0,None,4,Wed Apr 29 2015 20:36:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13861,/competitions/facebook-recruiting-iv-human-or-bot,339th
/yagu327605,How to Grepl words with apostrophe?,"Would anybody knows how to Grepl words with apsostrophe? An error message shows up when the below command is typed: > Word$I'm<- as.factor(grepl(""I'm"", Words$ABC, ignore.case=T)) Error: unexpected string constant in ""Word$I'm<- as.factor(grepl(""I'm"" Thank you.",0,None,3,Wed Apr 29 2015 20:39:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13862,/competitions/15-071x-the-analytics-edge-competition-spring-2015,433rd
/gertjac,2nd place code and documentation,"Hi everyone, We cleaned up our code, ran everything again and after hours and hours of waiting it was quite a relief to reproduce the same score - even slightly better: 0.0030 instead of 0.0032. Attached you find our code and documentation, feel free to ask for more details! Marios & Gert [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75478/2388/code.zip [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75478/2389/documentation.pdf",30,silver,4,Wed Apr 29 2015 21:05:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13863,/competitions/malware-classification,2nd
/enricf,How is competition graded?,"Hello, I haven't found how the current competition is graded. We know that it is a 15% of the total grade, and that we are ranked according to AUC. Do we know somehow how scores depend on ranking or on AUC? I also see that you can submit to final predictions, and people discusses which two predictions to submit. Shouldn't they be the best two AUCs? why?) https://www.kaggle.com/c/15-071x-the-analytics-edge-competition-spring-2015/forums/t/13841/choosing-final-2-submissions It's a shame I can't devote more time because I am currently overwhelmed at my ""real"" job, so I'd love to know where I am in terms of grading. I know I'm losing a lot of potential learning, looking at the interesting discussions around! Thanks!",1,bronze,5,Wed Apr 29 2015 21:32:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13864,/competitions/15-071x-the-analytics-edge-competition-spring-2015,635th
/mkusner,Sample Submission File Error,"I get the error: The submission column name '0' looks numeric. Did you forget a required header column? When creating a Kaggle In Class Competition when I try to submit a sample submission file: test_predictions.csv, given that I have the solution file test_labels.csv Any ideas? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75497/2390/test_predictions.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75497/2391/test_labels.csv",0,None,4,Wed Apr 29 2015 22:55:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13865,None,None
/wendykan,Rescore in progress,"Hi all, We're doing a rescore on all the previous submissions. You may see the leaderboard changing. No worries, your past submissions are safe. We'll be back in a moment. In the mean time, please don't re-submit. Any resubmissions during this time may be wasted/duplicated. Thanks for your patience. Kaggle Team",0,None,9,Wed Apr 29 2015 23:52:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13867,/competitions/facebook-recruiting-iv-human-or-bot,None
/hsperr,Ensamble Weights,"Not sure where to fit it exactly because there were many threads going on on how to ensembling different classifiers and finding the best weights. I made a small script that uses scipy.optimize's minimize function to find the best weights for a given ensamble. https://www.kaggle.com/users/195999/henning-sperr/otto-group-product-classification-challenge/finding-ensamble-weights In my example it ensembles two random forests and a logistic regression, which will not work so well for the competition since given a strong random forest the logistic regression will just get weight zero. Also since my numpy/scipy knowledge is pretty basic there is probably a much better way to do that, if so please edit it or let me know. Would be nice to have a resource for it for future questions.",8,silver,14,Thu Apr 30 2015 01:32:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13868,/competitions/otto-group-product-classification-challenge,211th
/sheehan,Submissions,Are we able to submit after the final deadline? To see how it would have actually done?,1,None,1,Thu Apr 30 2015 02:46:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13869,/competitions/restaurant-revenue-prediction,None
/rinzewind,[Script] [Meta] Where are you on the leaderboard?,"I just tried to make [Link]:https://www.kaggle.com/users/101878/jos-mar-a-mateos/restaurant-revenue-prediction/leaderboard-histogram using the new Kaggle scripting system, but sadly seems like RCurl does not work with the current configuration. You can run it by copying and pasting the code in your R console. It takes all the scores from the leaderboard, plots the density and draws a vertical line over your position. Nothing specially fancy, but looks nice :-)",1,bronze,11,Thu Apr 30 2015 03:16:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13870,/competitions/restaurant-revenue-prediction,1397th
/agu3rra,How to interpret the time data,"Hello, Are we to interpret the time data provided in the bids.csv file as a UNIX timestamp in microseconds? I noticed that the max is 9772885210526315 and the min is 9631916842105263 and converting these would mean we've dates between the years 2275 and 2279. I suppose it's because the data is scrambled to protect privacy. Just wanted to make sure. Best regards, Andre",-1,None,4,Thu Apr 30 2015 03:28:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13871,/competitions/facebook-recruiting-iv-human-or-bot,None
/podlipensky,IP address,Can I assume that obfuscated IP address belongs to the same country as original one?,0,None,4,Thu Apr 30 2015 03:56:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13872,/competitions/facebook-recruiting-iv-human-or-bot,310th
/sebastianpine,Obfuscation and Similarity,"Hi everyone. Obfuscation is not that familiar to me, therefore I was wondering whether a string preserves the lexical similarity after obfuscation. For instance, is it possible that applying Hamming distance to get the most similar word between two original strings gives the same result with an obfuscated version of these strings?",3,bronze,5,Thu Apr 30 2015 05:36:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13874,/competitions/facebook-recruiting-iv-human-or-bot,None
/yorkville,"teams, players, entries","Each comp lists the number of teams, players and entries. What does each term mean in this context? For example, if there are 100 teams, 50 players, and 200 entries, does this mean there is an average of 2 players on each team, and each team submitted 2 entries?",0,None,1,Thu Apr 30 2015 05:54:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13875,None,None
/rahulagarwal5,Cannot Use MICE function - Help needed,"Hi, I just started with the competition. So, I have a lot to catch up with. I read the csv file. Changed the blank values to NA using: NewsTrain$NewsDesk[NewsTrain$NewsDesk==""""] <- NA Then, used the Recitation 3 methodology to select the relevant fields for MICE function. But, when I run mice(dataset), I am getting the following error: Error in `[.data.frame`(data, , jj) : undefined columns selected Have been stuck on this for a while. Please help. Am I missing something?",0,None,1,Thu Apr 30 2015 07:11:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13878,/competitions/15-071x-the-analytics-edge-competition-spring-2015,64th
/albert759,multiple imputations,"Hi there, I am facing a rather strange issue after running multiple imputations on my glm model. I has brought down my train set auc percentage rather than increasing it. Is this normal? things tried so far I passed na.strings =("""") as an argument while reading the train and test set data into R NewsTrain = read.csv(""NYTimesBlogTrain.csv"",stringsAsFactors=FALSE,na.strings=("""")) this filled empty strings with NAs,then I ran multiple imputations successfully( as per the lecture) using NewsDesk,SectionName and SubsectionName predictors after which my train set auc has come down ,so multiple imputation did not give me any strategic advantage in increasing model accuracy. What should I do?really clueless here,looking for the edge :),please help. Looking for valuable inputs. Honestly improving glm to .91 and beyond is giving me real headaches,annoying too,maybe because I am new to the analytic field. Someone please clearly and concisely explain this to me,what are my options to improve this model. Should I abandon glm improvement all together and concentrate of other tools like RT,bag of words and ensembles.",0,None,1,Thu Apr 30 2015 07:13:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13879,/competitions/15-071x-the-analytics-edge-competition-spring-2015,948th
/lyouseff,glm Error: factor NewsDesk has new levels ,"Hi, I get this error when running my predict function on the glm model. This appears after I factor the NewDesk, despite I re-leveled both the Train and Test data (similar to mvt use-case in the lecture week7. Code goes as: SimpleMod = glm(Popular ~ ., data=NewsTrain, family=binomial) Predict.SimpleMod = predict(SimpleMod, newdata = NewsTest, type = ""response"")Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor NewsDesk has new levels Culture, Magazine, Metro, OpEd, Science, Travel, TStyle I have been struggling with this error for few days now, any insights into this?",1,None,1,Thu Apr 30 2015 08:10:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13880,/competitions/15-071x-the-analytics-edge-competition-spring-2015,959th
/albert759,RF prediction error,"Hi, While running the predict function on my Random Forest model I am getting the the following error 'Number of cross-validation runs must be equal for predictions and labels.' This is my code RandomForest7 = randomForest(Popular ~ NewsDesk + SectionName + SubsectionName + Weekday + WordCount, data=NewsTrain, nodesize=25,ntree=200) PredTrain = predict(RandomForest7, data=NewsTrain,type=""prob"")ROCRpred = prediction(PredTrain, NewsTrain$Popular) ***Error in prediction(PredTrain, NewsTrain$Popular) : Number of cross-validation runs must be equal for predictions and labels.*** as.numeric(performance(ROCRpred, ""auc"")@y.values) ***Error in performance(ROCRpred, ""auc"") : object 'ROCRpred' not found*** I am unable to compute RandomForest AUC because of this,could anyone please provide some useful suggestions,kinda stuck with RF. Thanks",0,None,6,Thu Apr 30 2015 12:49:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13881,/competitions/15-071x-the-analytics-edge-competition-spring-2015,948th
/acastellon,"3 days to try to improve my models without success, help!","Dear colleagues, I desperate, I was trying to do the best from my side: Splitting in different models for each section, creating dictionaries to translate some equal words, removing some words that not have sense (like set, can, etc..) , using the Abstract the abstract+headlines, etc.. And nothing..is not possible to have better model in glm than 0.91*** I did something similar with the randomForest, and nothing...the models are worst (around 0.88). Now I was trying to use the Cross Validation, using the next parameters: cpGrid = expand.grid(.cp=seq(-.01,0.5, 0.01)) model.train = train(words.train$Popular~., data=words.train, method=""rpart"", trControl=trainControl(method=""cv"", number=5),tuneGrid = cpGrid) model.predict = predict(model.train$finalModel, newdata=words.test) But it appears something annoying... Error in eval(expr, envir, enclos) : object 'time01' not found where time01 appears because my transformation using date = strptime(test$PubDate, format=""%Y-%m-%d %H:%M:%S"")words.test$time = as.factor(format(date,""%H"")) Any ideas about what can i do ? Note: It's incredible the people that arrives more than 0.93 I'm very expectant to see the code/algorithms solutions from all this guys! :) Thanks in advance for your advice, Antonio",0,None,13,Thu Apr 30 2015 13:58:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13882,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1051st
/epidnguyen,cannot submit,"Hi guys, I am very new to data science and to this website. I just made my very first submission but there is an error like in the attachment. I dont know why because i made the submission similar to the sample, csv file, two columns. Please help me. thank u a lot!!! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75618/2392/Capture.PNG",0,None,1,Thu Apr 30 2015 14:39:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13883,/competitions/bike-sharing-demand,1798th
/bluesilence,New column in bids.csv?,"Hi all, The given data description is as below, totally 8 fields: For the bid dataset bid_id - unique id for this bidbidder_id – Unique identifier of a bidder (same as the bidder_id used in train.csv and test.csv)auction – Unique identifier of an auctionmerchandise – Product typedevice – Phone model of a visitortime - Time that the bid is made (transformed to protect privacy).ip – IP address of a bidder (obfuscated to protect privacy).url - url where the bidder was referred from (obfuscated to protect privacy). However, the actual csv file contains 1 more field - [country]. Should it be a valid field in this dataset?",2,bronze,1,Thu Apr 30 2015 15:25:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13884,/competitions/facebook-recruiting-iv-human-or-bot,704th
/akashdollar,Submission Query,"Hey guys, I'm new to Kaggle competitions, Can anyone tell me as to what results I should submit. Should I submit a csv with probabilities calculated for the test data provided by kaggle? Thanks in advance",0,None,2,Thu Apr 30 2015 17:10:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13885,None,None
/nsaldan,Admin help - incorrectly counting my submissions ,I made only one submission today. Tried to make another but it gave me an error and now says I have finished my quota of submissions. What can I do? Thanks!,1,None,14,Thu Apr 30 2015 18:24:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13886,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2320th
/wcukierski,Azure outage == submission outage,"Hi folks, Azure is currently experiencing issues (http://azure.microsoft.com/en-us/status/), which is causing submissions not to get scored. Sit tight, this is out of our control. You do NOT need to resubmit files. Anything you upload will eventually get a score. If you do resubmit, it will still count against your daily totals Thanks for your patience!",0,None,6,Thu Apr 30 2015 19:17:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13887,None,None
/gabrielmarinr,Type of predictions in new [test] data don't match [w/ train] data,"Hi everyone! Some advise here, please: I built my RF model and tried to built my submission file, however I'm getting a error message: after writing this line: predict = predict(nytRF,newdata=nytest,type=""prob"")[,2] By applying str() on both train & test datasets I can see number of levels doesn't match in both data sets (i.e. train has 13 levels for NewsDesk vs. 11 levels in test set). Any advice to fix this? (I tried to using ""mice"" function to create 2 new levels on test set, however this function creates new levels from existing ones). Thank you in advance!",0,None,2,Thu Apr 30 2015 19:23:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13888,/competitions/15-071x-the-analytics-edge-competition-spring-2015,385th
/gregchase,Python Binary Classification,"I'm a college student interested in (finally) learning Python for this challenge. For almost all other competitions, I've used R exclusively. That said, what are the best resources to start learning Python? Additionally, what are good resources to start doing binary classification in Python? Thank you!",0,None,7,Thu Apr 30 2015 21:52:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13890,/competitions/facebook-recruiting-iv-human-or-bot,None
/yunfengxi,include test data to build word2vec model,"Are we allowed to use test data to build word2vec model? If not, one problem is some word appeared in test set cannot be found in model trained only with training set. More generally, are we allowed to use test data to do unsupervised learning before making prediction?",0,None,1,Thu Apr 30 2015 22:43:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13892,/competitions/word2vec-nlp-tutorial,64th
/rajagopal,Outcome field in train.csv ?,Hi There is an outcome field in train.csv. What does that mean ?,-11,None,2,Thu Apr 30 2015 22:50:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13894,/competitions/facebook-recruiting-iv-human-or-bot,None
/jiweiliu,First place code and documents,"Hi here is our code and documents. Our reproduced result can get 0.0029 and 0.0023 for our best single and ensemble models, respectively. Edit: you can also find it in Little Boat's github repo, https://github.com/xiaozhouwang/kaggle_Microsoft_Malware [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75767/2396/Malware_Say_No_To_Overfitting.zip",14,silver,6,Thu Apr 30 2015 23:19:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13897,/competitions/malware-classification,1st
/jubei2,Submission Pending,I know I put the wrong format of files a couple times but my last one i thought for sure it matched the sample format and it still is pending. Is that normal? Thanks,0,None,1,Thu Apr 30 2015 23:34:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13898,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1530th
/cmcken,Testing Predictability,"I've followed the step-by-step instructions for training and for optimizing to get the best feature subset. Unfortunately, I don't remember what the set-up is to do ad hoc testing on the different variables to see whether the original accuracy % goes up or down. In otherwords, I'd like to test my own assumptions apart from the Optimize Selection node and get an accuracy % like the file I've attached. I'm sure it's as easy as dropping the Select Attributes node in somewhere but I'm apparently doing it wrong. Any help is appreciated. Ken [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75774/2397/Capture.JPG",0,None,3,Thu Apr 30 2015 23:43:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13899,/competitions/wacubo-compeition,None
/brijeshtripathi,Need help setting the missing values,"I loaded the data from ""NYTimesBlogTrain.csv"" file into a dataframe named ""NewsTrain"" using the following command.NewsTrain = read.csv(""NYTimesBlogTrain.csv"", stringsAsFactors=FALSE) I am now trying to set the missing values for the variable ""NewsDesk"". My logic for setting a value is that - Only if an observation has blank value for ""NewsDesk"" variable and the variable ""SectionName"" of that observation has the value ""Business Day"", then I will set its value as ""Business"". I am using the following command. NewsTrain$NewsDesk = if(NewsTrain$NewsDesk=="""",if(NewsTrain$SectionName==""Business Day"",""Business"")) Above command is not working. Being new in ""R"", I am not sure about the right function and the syntax to achieve that. Need help correcting this to a right command. Thank you!!",0,None,8,Fri May 01 2015 00:23:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13900,/competitions/15-071x-the-analytics-edge-competition-spring-2015,519th
/gabrielmarinr,Combining 2 models - Issues with GLM predict output,"Guys, I combined predictions from 2 models and wrote my code as follows to create my submission file, however it appers to be an issue with 2nd line (Predict2 = predict(GLMModel, newdata = test). Any advice here? #Generic sample code Predict1 = predict(RFModel, newdata = test, type=""response"")[,2] Predict2 = predict(GLMModel, newdata = test) AllPredictions = c(Predict1, Predict2) MySubmission = data.frame(UniqueID = test$UniqueID, Probability1 = AllPredictions) write.csv(MySubmission, ""myidinkaggle.csv"", row.names=FALSE) Thanks again! Gabriel",0,None,1,Fri May 01 2015 00:49:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13901,/competitions/15-071x-the-analytics-edge-competition-spring-2015,385th
/bonson,Help - Went to 0.80 and then never howered around 0.65..,"Hello, I did the following which I assume should give better accuracy but it is around 0.65. Am I doing something wrong? Another aspect is that in the test data that I create, I am getting an accuracy of 0.90 but when I submit it I am getting an accuracy of around 0.65. I thought about over fitting and got the cp value for my model which was 0.01. Maybe wrong. Again with that I got an accuracy of 0.90 but in the submission the accuracy is 0.63. Kindly let me know what I am doing wrong. part of my code below. Regards, Bonson ############# Model 5 - CART Model################## create simple CART modelSimpleMod5Tree = rpart(Popular ~ WordCount+WeekdayNumber+Hour+NewsDeskNumber+SectionNameNumber+SubsectionNameNumber, data=NewsTrain_Train, method=""class"", minbucket=25)prp(SimpleMod5Tree)# Predictions on the test setpredictTrainTestCART = predict(SimpleMod5Tree, newdata=NewsTrain_Test, type=""class"")table(NewsTrain_Test$Popular, predictTrainTestCART)#(1292 + 131) / (1292 + 68 + 142 + 131)#87.14(1285 + 188) / nrow(NewsTrain_Test)#90.20# ROC curvePredictROC = predict(SimpleMod5Tree, newdata = NewsTrain_Test)PredictROCpred = prediction(PredictROC[,2], NewsTrain_Test$Popular)perf = performance(pred, ""tpr"", ""fpr"")plot(perf)# For CARTpredictTestCART = predict(SimpleMod5Tree, type=""class"", newdata=NewsTest)MySubmission = data.frame(UniqueID = NewsTest$UniqueID, Probability1 = predictTestCART)write.csv(MySubmission, ""SubmissionSimpleLog.csv"", row.names=FALSE) ############# Model 5 Ends ################# ############# Model 6 - Random Forest Model################## Convert outcome to factorNewsTrain_Train$Popular = as.factor(NewsTrain_Train$Popular)NewsTrain_Test$Popular = as.factor(NewsTrain_Test$Popular)# to be used in case the number of levels do not match#levels(NewsTest$Popular) <- levels(NewsTrain$Popular)# Creating a Random Forest Model6Forest = randomForest(Popular ~ WordCount+WeekdayNumber+Hour+NewsDeskNumber+SectionNameNumber+SubsectionNameNumber, data=NewsTrain_Train, ntree=200, nodesize=25)PredictForest = predict(Model6Forest, newdata = NewsTrain_Test)PredictForesttable(NewsTrain_Test$Popular, PredictForest)PredictForest#0 1#0 1303 57#1 83 190(1303 + 190) / nrow(NewsTrain_Test)# For Random ForestpredictTestForest = predict(Model6Forest, newdata=NewsTest)MySubmission = data.frame(UniqueID = NewsTest$UniqueID, Probability1 = predictTestForest)write.csv(MySubmission, ""SubmissionSimpleLog.csv"", row.names=FALSE) ############# Model 6 Random Forest Ends ################# ############# Model 7 - Random Forest Model################## Convert outcome to factor# Define cross-validation experimentnumFolds = trainControl( method = ""cv"", number = 10 )cpGrid = expand.grid( .cp = seq(0.01,0.5,0.01)) # Perform the cross validation#train(Reverse ~ Circuit + Issue + Petitioner + Respondent + LowerCourt + Unconst, data = Train, method = ""rpart"", trControl = numFolds, tuneGrid = cpGrid )train(Popular ~ WordCount+WeekdayNumber+Hour+NewsDeskNumber+SectionNameNumber+SubsectionNameNumber, data=NewsTrain_Train, method = ""rpart"", trControl = numFolds, tuneGrid = cpGrid) CVTree = rpart(Popular ~ WordCount+WeekdayNumber+Hour+NewsDeskNumber+SectionNameNumber+SubsectionNameNumber, data=NewsTrain_Train, method = ""class"", cp=0.01) # Make predictionsPredictCV = predict(CVTree, newdata = NewsTrain_Test, type = ""class"")table(NewsTrain_Test$Popular, PredictCV)(1285+188)/nrow(NewsTrain_Test) # For Cross ValidationPredictCV = predict(CVTree, newdata = NewsTest, type = ""class"")MySubmission = data.frame(UniqueID = NewsTest$UniqueID, Probability1 = PredictCV)write.csv(MySubmission, ""SubmissionSimpleLog.csv"", row.names=FALSE) ############# Model 7 Random Forest Ends #################",0,None,10,Fri May 01 2015 01:18:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13903,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1586th
/shova337156,Competition closed to new entrants,"Hello everybody I'm new and I was just looking at ""Restaurant Revenue Prediction"" competition. Im sure I clicked on make a submission few days ago to see if I could participate and nothing wrong happened. Now, after finishing my work, kaggle gives me this error: This competition is closed to new entrants. Please help me. Thanks",0,None,2,Fri May 01 2015 01:25:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13904,None,None
/robrob,Newbie Validation vs. LB Score Confusion,"Kagglers, Appreciate any guidance regarding the gap between model validation performance and LB score. Multiple feature engineering approaches leveraging OVO and OVA, where the model used to generate the features for the train set are used for test set, results in a disparity between the validation performance and the LB score. In all cases, training the model is based on a random selection of 70% of the ""training"" file and evaluated using the validation set (30%). Typical validation results are: RSNNS Accuracy: 0.929214 / LogLoss: 0.266 randomForest Accuracy: 0.9357561 LogLoss: 0.279 Please note that the model training OOB Model$confusion accuracy closely matches the validation accuracy. However, generalization to the test file is poor... ~ 0.65 logloss via LB score. Given the training and test files are drawn from the same underlying population, I'm confused why the hold out validation performance and the LB score have such a disparity. Example: Nine engineered features - one for each Class. Showing engineered feature for Class_1 and the histogram of that feature for train and test... [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75806/2400/Screen Shot 2015-04-30 at 8.31.02 PM.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75806/2401/Screen Shot 2015-04-30 at 8.32.10 PM.png",0,None,4,Fri May 01 2015 01:50:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13905,/competitions/otto-group-product-classification-challenge,978th
/typedef,Are account and email fields redundant?,"Hi all, Looks like all values of account and email fields are unique. Any ideas why we have them in data then? Thanks!",5,bronze,5,Fri May 01 2015 02:35:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13906,/competitions/facebook-recruiting-iv-human-or-bot,None
/nr7116,LB distribution,".93 was highest for sometime but with inflation, doesn't even buy you top 200 today! # of entries above score 100 .933 200 .93300 .928400 .926500 .924600 .921700 .917800 .914900 .9091000 .907",0,None,14,Fri May 01 2015 03:17:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13907,/competitions/15-071x-the-analytics-edge-competition-spring-2015,123rd
/smartpatrol,Flagging Proper Nouns,"I want to flag pronouns. Proper Nouns. Googled like mad for this... Any thoughts on how to do it? Edit : I am dumbass, it's Proper Noun.",0,None,3,Fri May 01 2015 03:52:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13908,/competitions/15-071x-the-analytics-edge-competition-spring-2015,122nd
/ask788,How many features are there in your model?,I'm not sure if I should aim for a leaner model because everytime I try to get rid of redundant features my model's performance tends to drop. Jus wondering how many features you all are using?,0,None,4,Fri May 01 2015 04:38:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13909,/competitions/15-071x-the-analytics-edge-competition-spring-2015,313th
/pkdesai,xgboost parameter tuning,"Hi, How do we fine tune the parameters for xgboost model. Is there any documentation on xgboost model to understand and apply the parameters scientifically. I am using R to execute xgboost which has given good score in the first run with parameters selected randomly. I would like to further fine tune the parameters and try if it can be improved xgboost(param=param,data=train, label=response, max.depth=depth, nround=rounds,verbose=0) Apologize if this question is already asked and answered. Thanks.",0,None,9,Fri May 01 2015 04:51:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13910,/competitions/otto-group-product-classification-challenge,922nd
/bigr1284185,Multiple bids by same bidder,Why would the same bidder have multiple bids in a row for the same auction?,0,None,14,Fri May 01 2015 05:53:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13911,/competitions/facebook-recruiting-iv-human-or-bot,None
/simonchia,Question on Time Series Exponential Smoothing  ,"Looking at this data, does it make sense to analyse it using time series? Beyond using the regression model, trying to uncover the Trends or Forecast using a time series seems fine to me but I would like to understand what the downfall could be. From my limited understanding, with everything being equal and unchanged, the time series analysis can be useful to tell how things will be for a given forecast.",1,bronze,1,Fri May 01 2015 08:01:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13912,/competitions/restaurant-revenue-prediction,None
/rawidge,"No improvement with Random Forest, need tips/help","I have been trying really hard with Random Forests and made no progress . 1.I did a bag of words for Abstract and Headline. 2. I converted the Popular ,Newsdesk, SubsectionName,SectionName, and all categorical variables to factors. And made the levels of the test set equal to the training set. 3. Converted WordCount to as.numeric(log(WordCount+1)) and all int variables are numeric now(except popular which is a factor). All char variables factors and all their levels match. 4.In my RF model, i used method=class, nodesize=5, ntree=1000 RFmodel=randomForest(as.factor(Popular)~Hnew+Hreport+Atime+Awill+Ayear+Hour+Weekday+log(WordCount+1)+NewsDesk+SectionName+SubsectionName+UniqueID,data=finalTrain,method=""class"",nodesize=5,ntree=500) Then I did the prediction: PredRF=predict(RFmodel,newdata=finalTest,type=""prob"")[,2] Checked the AUC value on the training set and got : 0.9916014 and such ranges on adding or substracting independent variables But on submitting answers, all im getting is 0.88 How can i improve the score? Note: I haven't done any imputation or multiple imputation",0,None,37,Fri May 01 2015 08:28:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13913,/competitions/15-071x-the-analytics-edge-competition-spring-2015,158th
/kylechung,missing data? polyline is [].,"Hi, I am a little bit confused about the meaning of MISSING_DATA. For example I can find record such as this one: ""1372692683620000105"",""B"","""",""13"",""20000105"",""1372692683"",""A"",""False"",""[]"" where POLYLINE field is entirely empty but MISSING_DATA is ""False"". What does this mean? Does it mean that this customer didn't really take the taxi at all, or does it mean this is another kind of ""missing data""? And for those records with MISSING_DATA = ""True"", it seems that we don't have the knowledge to determine the position of missing coordinates since all these records have seemingly complete sequence of given coordinates, which in turn indicates that we can't even determine the actual seconds elapsed for these trips since the calculation relies entirely on the total number of available coordinates. Or did I just miss something?",0,None,2,Fri May 01 2015 08:39:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13914,/competitions/pkdd-15-taxi-trip-time-prediction-ii,None
/jubei2,Error when creating the dataframe,"Error in data.frame(UniqueID = HeadlineWordsTest$UniqueID, Probability1 = preds) : arguments imply differing number of rows: 0, 1870 Not sure why it worked for logs but when I try it with the randomforest probabilities it doesn't seem to work.",0,None,5,Fri May 01 2015 09:35:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13915,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1530th
/dtyk89,Question about the predict function,"Hi all, I've got a question regarding the predict function. In the lectures, it's normally written as predict(model, newdata=Test set). However, I've learned that sometimes arguments such as type = ""prob"" or type = ""response"" are supplied. What does each of them do? What are their differences? Thank you in advance!",0,None,4,Fri May 01 2015 12:22:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13916,/competitions/15-071x-the-analytics-edge-competition-spring-2015,862nd
/lalitkhandelwal,Memory related issues in R,I am facing memory related issues while handling train data. Is anyone facing the same issue?,0,None,4,Fri May 01 2015 12:31:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13917,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/ssingh,Field Auction,"Greetings, What is the exact meaning of field ""Auction"", looks to me more like an auctioning platform rather than an Auction of a particular product. Reason is same Auction has multiple ""Merchandise"" associated with it Regards, Sanjeev [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75892/2403/Auction.png",7,silver,6,Fri May 01 2015 12:38:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13918,/competitions/facebook-recruiting-iv-human-or-bot,None
/del=66b487b5ec8ae8ed,"How did you fill the "" "" values?","In the variable NewsDesk, SectionName and SubSection I choose fill the """" in this way: NewsTrain$NewsDesk[NewsTrain$NewsDesk == """"] = ""Generic Name"" Which has been your choice about this problem?",0,None,1,Fri May 01 2015 13:36:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13919,/competitions/15-071x-the-analytics-edge-competition-spring-2015,790th
/karan15,Duplicate variables in combining data sets,I am getting duplicate variables while combining headlines and abstract bag of words data matrices with cbind function. Any suggestions to get rid of duplicates?,0,None,1,Fri May 01 2015 14:06:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13920,/competitions/15-071x-the-analytics-edge-competition-spring-2015,159th
/markquigleyuk,Random Forest Submission Error,"Hi, I'm trying to create a RF model however I get an error (see below) when submitting the file. I'm using the same corpus etc which works fine with other models GLM, and CART but it fails with the RF. If anyone has any ideas as to what I'm doing wrong here I'd appreciate it. Thanks Mark ERROR: The value '-2.10576001080653E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 11, Column 6) ERROR: The value '-2.38975506050565E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 57, Column 6) ERROR: The value '-2.04719574625756E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 62, Column 6) ERROR: The value '-2.24309459895267E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 71, Column 6) ERROR: The value '-2.22416529638281E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 72, Column 6) ERROR: The value '-1.81898940354586E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 92, Column 6) ERROR: The value '-1.76875181168157E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 96, Column 6) ERROR: The value '-2.2269963650956E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 120, Column 6) ERROR: The value '-2.45631293083193E-15' is not in the required set of values 'Predicted Probability = [0, 1]' (Line 141",0,None,1,Fri May 01 2015 18:43:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13921,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1591st
/abhisheksimhadri,Octave code for ~1700K,"Hi, Have considered all variables (except city and type) and ran regression using the gradient descent algorithm. Should give around 170K. Manipulated the train and test files to get - days open, weekday, month, City group and all the other P variables. Lots of options to optimise. thanks Abhishek [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/75958/2406/kaggle_submission.m",0,None,3,Fri May 01 2015 21:00:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13922,/competitions/restaurant-revenue-prediction,621st
/dgtg332754,"Cross validation kfolds, boot strapping?","In simple English can someone please explain cross validation to me - more specifically how to create a test set from the initial training set. I have been seeing a lot of threads saying about cross validation k folds splitting the training set into train and test sets. I did my own subset - like a certain percentage of the training set was my set that I trained my model and then tested it on the remaining set. This is how it was taught in the course. The cross validation for classification trees that was introduced in the course did not split the training data. It simply determined the cp value (whatever that is - not very clear - but nonetheless was a parameter used in the model). As I understood it, R splits the data itself ""behind the scenes"" to get the most optimal cp value for your model. However, I see things such as using cross validation to create your own train and test sets and boot strapping (which was not taught in the course). Hopefully someone can shed some light on this. Thank you",0,None,5,Fri May 01 2015 23:07:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13923,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/gmehta,Random Forest,"I am trying to run Random Forest and getting following error: Error in randomForest.default(m, y, ...) : NA/NaN/Inf in foreign function call (arg 1)In addition: Warning messages:1: In data.matrix(x) : NAs introduced by coercion2: In data.matrix(x) : NAs introduced by coercion3: In data.matrix(x) : NAs introduced by coercion Any help with above will be highly appreciated.",0,None,3,Fri May 01 2015 23:59:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13924,/competitions/15-071x-the-analytics-edge-competition-spring-2015,863rd
/ebrucecfa,Want a better model? - Part Deux,"Thought I would share a gem for quickly comparing various tuned models in terms of AUC and stdev(AUC) Your OS and hardware must support doParallel. This works like a charm on Linux box with multicores. The end result is a table and box plot of models AUC. http://blog.revolutionanalytics.com/2014/09/comparing-models-in-r.html You can also add other models, rf, glm, etc",5,bronze,1,Sat May 02 2015 00:22:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13925,/competitions/15-071x-the-analytics-edge-competition-spring-2015,588th
/varun331,Unable to submit,"I created a GAM model and want to submit my result. But unable to submit, i get an error that no new teams can be created",0,None,6,Sat May 02 2015 00:38:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13926,/competitions/restaurant-revenue-prediction,None
/karansarao,Bidders sticking to only 1 merchandise? No spread,"seems to me that there is 1 to 1 relationship between bidder_id and merchandise, i.e. all bidders have taken part in only 1 category of merchandise - while they may have taken part in multiple auctions. Unique Bidder_ID to Merchandise relations - 6615, Unique bidder_ids - 6614. It seems only 1 bidder has bid across 2 merchandise classes. Seems a little improbable. Wanted to check the spread of bidders. i.e. an automated bidder may be spread more or less across merchandise classes than a manual bidder - but this hypothesis cant even be tested as there is no spread in this data.",12,silver,3,Sat May 02 2015 03:11:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13927,/competitions/facebook-recruiting-iv-human-or-bot,131st
/dcruzhuffmaster,Error when doing cbind for the 2 corpus Abstract and Headline,"Am getting error messages when i run this code: Words = cbind(AbstractWords, HeadlineWords) For those 2 data frames, i have already ran the colnames command to make sure R is able to read it; and also ran the paste0() function before combining them. So i think i did the right steps. but yet i get these errors. i am only showing the 1st message. the 2nd message is exactly the same. is this an error that can be ignored or a true one? Would greatly appreciate help/feedback. Thank you! Warning messages:1: In data.row.names(row.names, rowsi, i) : some row.names duplicated: 2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271 [... truncated]",0,None,5,Sat May 02 2015 03:52:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13928,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1610th
/brissy,Can't see the output/submission .csv file in the current working directory (using windows explorer ),"I created a submission file according to the instructions but couldn't find it in my working directory (I checked what was my current directory when I created the file using getwd() but when I opened the folder in my computer, no such file appears. Strangely enough when I looked in R, file--> display files : the file is there. I have no idea why.I also tried to see if R will load the file. I use read.csv() function. No complaints and I can even use str() function normally. It just doesn't appear in the normal folder view in windows!!! so I can't submit it on Kaggle :(Can anyone please help?. Thanks!",0,None,1,Sat May 02 2015 12:00:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13929,/competitions/15-071x-the-analytics-edge-competition-spring-2015,578th
/ouranos,Predicting Winner score,"Don't be dissapointed yet, anyone can win!!! Too few Data. Overifitting to the LederBoard is almost certain. My guess of winner score whould be 2200000-2300000 if test data isn' t to different from train dataset. I predict a huge LederBoard shake-up. What's your opinion?",2,bronze,2,Sat May 02 2015 12:06:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13930,/competitions/restaurant-revenue-prediction,1150th
/simonchia,Result of trained model,"Hi all, attached is my predicted revenue with a confidence level of .8878 and using 15 variables. P36, P8 and City being the biggest contributes. what are the results that you are willing to share? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/76058/2408/Predictive_Analytics_Results.txt",-4,None,2,Sat May 02 2015 13:51:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13931,/competitions/restaurant-revenue-prediction,None
/ybabakhin,Cross-validation Question,"Hi, guys! I`m performing cross-validation for gbm using train() function to find optimal values of interaction depth, number of trees and shrinkage. However, it took about an hour on my macbook and is still running. So, should I perform CV every time when I make some minor changes in my model? Thanks.",0,None,11,Sat May 02 2015 13:54:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13932,/competitions/15-071x-the-analytics-edge-competition-spring-2015,458th
/samjosh,Any tips to to improve from 0.93  to 0.94,"Hello Friends, I have tuned my RF with optimized parameters and able to reach ~0.93 range. I don't have any idea using GBM. I have search our forum topics but not sure how should I start for GBM. Also, I have noticed that building up corpus and training that set doesn't improve my model compared to simple transformation with few pattern search. Did anyone had same kind of experience ? As only one day is left out, I am still trying to figure what else can I try to improve it a bit. Please help. Also, good luck and big thanks to everyone. I have learnt a lot during this competition. It really helps.",0,None,7,Sat May 02 2015 15:07:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13933,/competitions/15-071x-the-analytics-edge-competition-spring-2015,51st
/maineiac,A BAYZian shot across the bow!!!,"Holy $#!T. That is one crazy score. Kagglers: Given your priors, what do you think? Real or spurious? Going to be a victim of the shakeup?",2,bronze,41,Sat May 02 2015 15:30:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13934,/competitions/restaurant-revenue-prediction,1660th
/chrisf4,Can't submit file - header row problem,"Hi I've left it a little late, but I couldn't find a solution to this problem - although I'm sure someone else has had it I'm getting this error: ""Evaluation Exception: Submission must have 1870 rows."" Based on the out of the box script: MySubmission = data.frame(UniqueID = NewsTest$UniqueID, Probability1 = PredTest) write.csv(MySubmission, ""SubmissionSimpleLog.csv"", row.names=TRUE) Any help?",0,None,5,Sat May 02 2015 16:25:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13935,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2578th
/debanjanbanerjee,Unable to submit data,"Dear All, I am unable to make any submissions. I have applied for getting the temporary code but even after 3 days I am not getting any temporary code on my mobile. Please help me resolve this problem ASAP. Take care Debanjan",0,None,1,Sat May 02 2015 17:33:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13936,/competitions/predict-west-nile-virus,1166th
/maineiac,How well is your local CV tracking your leaderboard performance?,"Like many of you, I'm concerned about overfitting in general and overfitting the leaderboard in particular. That being said, I've been slowly creeping my way up the leaderboard over the past week or so, and it seems like my local CV (10-fold repeated 10X) is fairly predictive of my LB movements. I know there were other threads on this topic, but thought I'd start a new one to get some fresh perspective. How are you all faring re: local CV vs. LB?",1,bronze,4,Sat May 02 2015 17:35:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13937,/competitions/restaurant-revenue-prediction,1660th
/rawidge,"Imputation in RF Models are effective for NewsDesk,SectionName,SubsectionName ??","Hi All, So i converted my """" values to NAs using na.strings="""" , and then applied MICE imputation to Training and Testing sets. Prior to imputation my model 0.92466 but after imputation it has fallen to 0.90 Has imputation worked for you'll in RF models??",0,None,1,Sat May 02 2015 18:16:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13938,/competitions/15-071x-the-analytics-edge-competition-spring-2015,158th
/rejulien,Reliable cross validation ?,Did anybody manage to have a reliable cross-validation ? My best cross validated models (5 folds) perform really poorly (I double checked my haversine distance function). Should I blame the small test set ;),0,None,4,Sat May 02 2015 18:30:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13939,/competitions/pkdd-15-predict-taxi-service-trajectory-i,17th
/siddjain,Does each image need to be classified independently or can one consider both left and right images when making a classification?,"Hello, i would like to know Does each image need to be classified independently or can one consider both left and right images when making a classification? could an admin clarify this please?",0,None,4,Sat May 02 2015 21:57:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13941,/competitions/diabetic-retinopathy-detection,337th
/bumbleblee,Cleaning up test data,"I'd really appreciate help on this part. I cleaned up train data with pandas as suggested in the tutorial. Deleted name, sex, ticket, cabin, embarked, put in new age, etc. It's basically copy paste of the code from the tutorial. But if I try to do the same with train data I get: ""ValueError: Input contains NaN, infinity or a value too large for dtype('float64')"" What am I doing wrong? I could use explanation or sample code. This is my code : http://pastebin.com/vJBrKENH If I use Python Sample Code for random forest from the site I just get bunch of ""got 13 columns instead of 12"" Thank you for your time.",0,None,7,Sat May 02 2015 22:03:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13942,/competitions/titanic,None
/rawidge,Queries about getting probabilities from GBM model,"Hi All, What is the general syntax for getting probabilities from a GBM model?? I wrote: modelgbm=gbm(as.factor(Popular)~.-UniqueID-year-mday,data=finalTrain,distribution=""bernoulli"") gbmpred=predict(modelgbm,newdata=finalTest,n.trees=100) (It insists i use n.tree parameter in gbmpred else error) The output probabilities i get is all NaN values.... Any suggestions on the way forward??",1,None,4,Sat May 02 2015 22:03:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13943,/competitions/15-071x-the-analytics-edge-competition-spring-2015,158th
/utah777,CV on feature importance (RF),"Finally, I implemented my last meaningful idea for this contest, i.e. CV on feature importance. The idea was as following: 1. I threw ~ 3800 features ( section names, date/time info, uni- and bi-grams) at ridge regression (sort of) and come up with 400 non-zero features. 2. I did a 10-fold cross-validation on feature importance of those 400 features in the context of RF. The idea was to leave only those features that are consistently of top-importance (i.e. time independent in the context of this time dependent data set) 3. The result was to pick up ~100 features that are consistently of top-importance. 100 is the sweet spot due to maximization of mean AUC and minimization of AUC SD. 4. The 5-fold CVed AUC on these chosen ~100 top-important features is 0.953090115, with 0.00624155649786 SD. The Kaggle's LB AUC is around .934 which tells me my model does not generalize well. Any thoughts?",0,None,16,Sun May 03 2015 00:41:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13944,/competitions/15-071x-the-analytics-edge-competition-spring-2015,338th
/suhrob,Caret-like multi-class log-loss,"I've tried to implement the multi-class log-loss in a caret compatible summaryFunction format: mc_logloss <- function (data, lev = NULL, model = NULL) { if (!all(levels(data[, ""pred""]) == levels(data[, ""obs""]))) stop(""levels of observed and predicted data do not match"") eps=1e-15 out <- rep(0.0, nrow(data)) idx <- which(data$pred==data$obs) n <- nrow(data) if (!is.null(length(idx))) { for (i in idx) { out[i] <- max(min(data[i, as.character(data$obs[i])], 1-eps), eps) } out <- -1.0*sum(log(out[idx]))/n } else { out <- 0.0 } names(out) <- c(""mlogloss"") return(out)} When I run this, I'm getting 3-fold CV scores of ~0.16 on the benchmark xgboost. Same setting xgboost using xgb.cv reports ~0.35. Anybody by any chance knows what am I doing wrong? I have removed the id columns so this is not due to leakage... Thank you!",0,None,5,Sun May 03 2015 01:24:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13945,/competitions/otto-group-product-classification-challenge,517th
/gamency,want help on cluster then predict tuning,"right now, I using cluster then predict method to doing this analysis, after solve the problem of merge cluster result into one result, my score now is 0.89, after some predict tuning on the training model, the score now is 0.907(it increase so little, i double the tuning work), but it seem i couldn't improve any more. right now , i only split the cluster into 3 clusters, it always come out that one cluster has so fewer member ,such as less than 500, while the other cluster has more than 3000 member, i thing this is the cause of low AUC at the end, I try split to more clusters, such as 20 cluster, bu when i check out the cluster member first, the phenomena still there, it still have one cluster has far more member than the other, can any one share your cluster method, i thing i some kind of have a black hole in this method.~~)!",0,None,8,Sun May 03 2015 05:24:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13946,/competitions/15-071x-the-analytics-edge-competition-spring-2015,379th
/mitaedgeks, Kaggle Admn: Double counting of submission,Please check the error on submission page when it counted twice the same entry.,0,None,6,Sun May 03 2015 06:10:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13947,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1829th
/neilsummers,[Scripts] West Nile Virus and Mosquito heatmap by hear,"I loved the heatmap script from Vasco, which I extended out by year. Then I tried to extend it by plotting the mosquito distribution as well as the West Nile virus cases. Unfortunately it did not finish in the 5 minute limit for the scripts so I attach a copy here for all to see. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/76240/2410/heatmap.png",15,gold,3,Sun May 03 2015 07:19:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13948,/competitions/predict-west-nile-virus,422nd
/darshangowtham,Text to factor,How do i convert the text variable to factor variables to include them in building the model ?,0,None,3,Sun May 03 2015 07:27:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13949,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2134th
/boris0,Our perfect submission,"Hello fellow Kagglers! I am from team BAYZ, which as you can see currently occupies the top spot on the leaderboard with a PERFECT score (0.00000). You may be curious what's going on! Some of you were already wondering with our previous score (816496.58093) whether it was spurious and whether it would carry over to new data. Well, rest assured that our submission is intentionally focused on overfitting the public leaderboard score and has essentially no generalization ability to new data (like the private leaderboard score). We have no modeling ""secret sauce"" and do not believe that we will perform well on the private leaderboard. In fact, we have barely dedicated any effort to the actual modeling problem relevant to the final score. Then why make a submission like ours, if it has no use for the real contest? In one word: Fun. In more words, read on: I believe that many if not all of the top scores on the public leaderboard right now are implicitly overfit to the public leaderboard score and will not generalize well to the private data. (But of course we wish everyone well and would love to be proven wrong!) In particular, I agree with Kaggle veteran [Link]:https://www.kaggle.com/c/restaurant-revenue-prediction/forums/t/13494/our-cv-result-is-very-different-from-lb-do-we-miss-something/72540#post72540 in this contest: ""Don't worry, everybody is over-fitting. In normal situations, I would say trust your cv more than the leaderboard. In this scenario you cannot even trust that due to the small size of the training dataset. My advice to you would be to use something simple that makes sense and ignore the leaderboard."" But we come from a mathematics background, and naturally, we were led to wonder how well you could do if you were explicitly overfitting. Coincidentally, about a couple months ago there was a very interesting blog post by Moritz Hardt on the idea of hill-climbing using the leaderboard score. We did not know about it until recently (and so it did not spur our efforts), but I highly recommend reading it to all Kaggle participants: [Link]:http://blog.mrtz.org/2015/03/09/competition.html by [Link]:http://www.moritzhardt.com/. We did not use the idea from that post, but instead used a different approach that was specifically tailored for this contest. Roughly speaking, I would describe the idea as a combination of ""deanonymization"" and ""triangulation"". The first is used to determine which rows are part of the public leaderboard score, while the second is used to determine the correct predictions. Along the way, we encountered many interesting mathematics, computer science, and statistics challenges. I would be happy to write about these problems and some of their solutions if people are interested in reading about them (presumably after the upcoming contest deadline). To the Kaggle administrators: I personally believe that we have complied by the rules of the contest. In particular, we interacted with the contest only by looking at the supplied data files as well as submitting lots and lots of entries to be scored (admittedly they were very specially crafted submissions). I hope that you take our efforts with good humor. We do not wish to make this contest any less enjoyable for anyone, and in fact we hope that people are excited to see how far overfitting can get you if you try really hard. The answer: all the way. :) Nonetheless, we do not mind if you wish to invalidate our entries, disqualify us from this contest, or disqualify us from the prizes. (It's somewhat of a moot point, though, because we aren't trying to win and so none of our current submissions would even score below the sample submission on the private data! Our interest is purely in seeing how far you could go if you do explicitly what everyone is doing implicitly anyway: overfitting.) We really like participating in Kaggle contests, not least because of the community aspect of it, and we're just trying to have some fun. In any case, please feel free to contact us, whether in this public forum or in private. In closing, we hope that everyone has had fun during this contest; we certainly and obviously have! Like everyone else, we are very excited to see how well the best participants do on truly new data in the real contest. :) Good luck!!Boris",119,gold,72,Sun May 03 2015 08:10:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13950,/competitions/restaurant-revenue-prediction,1962nd
/patrickcheesman,Problems with predicting on random forest model,"Hi I have managed a score of 0.9077 on a logistic model and have been trying to work on a random forest model. I can generate the model with no errors but when I use the predict function I get an error. PredTest = predict(NewsTrainRF, newdata=NewsTest, type=""response"") Error in predict.randomForest(NewsTrainRF, newdata = NewsTest, type = ""response"") : Type of predictors in new data do not match that of the training data. I am completely baffled by this. My test and training data contains exactly the same info minus the Popular value in the Test set. Any ideas?",0,None,6,Sun May 03 2015 08:41:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13951,/competitions/15-071x-the-analytics-edge-competition-spring-2015,923rd
/limegimlet,RF with log of Wordcount generates error,"I've set Popular, NewsDesk, SectionName, and SubSectionName to be factors, and can get RF to run properly. HeadlineWordsRF = randomForest(Popular ~ ., data=HeadlineWordsTrain, type=""prob"", nodesize=2, ntree=500) However, the AUC seriously needs improvement. So I made a log of WordCount: HeadlineWordsTrain$WordCount = log(NewsTrain$WordCount)HeadlineWordsTest$WordCount = log(NewsTest$WordCount) But when I run the exact same RF model, I now get this error Error in randomForest.default(m, y, ...) : NA/NaN/Inf in foreign function call (arg 1) As soon as I re-convert WordCount to the original, it works again. Any ideas? Thanks Sarah",0,None,9,Sun May 03 2015 11:08:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13952,/competitions/15-071x-the-analytics-edge-competition-spring-2015,529th
/alexey9,Validation vs Test,"I make some transformation with my data (train and test) - first of all I combine them, make transformation for big dataset, and then I divide it back into train and test. Then I divide my train dataset into two datasets - datasetV (for validation) and datasetT (to train model). Then I train my model used datasetT and validate results using datasetV. My accuracy on validation dataset is about 0.9. Then I train my model on full train dataset (not devided on datasetV and datasetT) and make prediction on test dataset. When I make a submission I receive accuracy about 0.8. Whats wrong in my actions? Why I receive such a big difference between prediction for validation and for test dataset? Or it's normal situation?",0,None,3,Sun May 03 2015 11:37:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13953,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1332nd
/brijeshtripathi,Using 2 Bag of Words brings score down ??,I have a logistic regression model that is giving me my best score. I am using Bag of Words on [Headline] among other common things including filling up missing values. This model gives me a score of 0.92393 I tried to improve this model by using 2 Bag Of Words and included [Abstract] in addition to [Headline]. I was expecting a better result with this variation but my score comes down marginally to 0.92263 Does anyone has a clue as to why a supposedly better model brings the score down?,0,None,1,Sun May 03 2015 13:00:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13955,/competitions/15-071x-the-analytics-edge-competition-spring-2015,519th
/geethaj,Headline - treated as factor. Why?,"Hi I got the below error message while trying to predict a glm. Any clues as what is wrong here. I excluded Headline,Snippet,Abstract while building the glm model. And str shows them as chr in both the train and the test. Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor Headline has new levels 'Basetrack Live, .... Racing against time as the deadline is fast approaching. Thanks for your help",0,None,10,Sun May 03 2015 14:24:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13956,/competitions/15-071x-the-analytics-edge-competition-spring-2015,456th
/mystique,How to combine 1gram and 2gram .ngram into a single DF?,"How to combine 1gram and 2gram .ngram into a single DF? As of now i am able to make them seprately, but i am not sure how to combine them while keeping documents/rows in order",0,None,3,Sun May 03 2015 14:36:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13957,/competitions/15-071x-the-analytics-edge-competition-spring-2015,657th
/bamine,Big difference between local CV and LB,"Hi guys, I noticed a huge difference between my local CV auc (like 0.84-0.85) and LB (0.55), did somebody else notice something like this, and did somebody figure out the reason ? Thanks !",2,bronze,9,Sun May 03 2015 14:49:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13958,/competitions/predict-west-nile-virus,327th
/shailendrak,running step on glm hangs,Is there a way to converge it faster?,0,None,3,Sun May 03 2015 15:35:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13959,/competitions/15-071x-the-analytics-edge-competition-spring-2015,391st
/del=520aa824df09e7b5,Suggestion to Kaggle admins,"First of all, I want to congratulate BAYZ team for posting a perfect public LB score. The feat is in no means a simple task. Kudos to the team!!! Second, I want to suggest the Kaggle admins to consider taking all the public LB scores by each team for evaluating the private LB. If only the top 2 or 3 public LB submissions per team are considered for the private LB, then the teams with overfitted LB models and good public LB scores may have an unfair advantage. Also, the top 2-3 public LB scores may not necessarily result in generating the overall best model for the competition. For example, I have seen a couple of times in previous contests where my top 2 or 3 submissions on public LB haven't resulted in top 2 or 3 scores on private LB. A score which was 6th on my public LB scores became the best score on private LB. However, it wasn't helpful because I did not select that submission for assessment on private LB. This is not a complete solution for resolving the public LB score overfitting problem but I think this is a start. Kaggle admins, what do you think???",-10,None,26,Sun May 03 2015 15:57:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13960,/competitions/restaurant-revenue-prediction,767th
/mikeskim,Are Lasagne solutions reproducible?,I'm not sure if Python's typical setting of seed effects Lasagne in the same way it effects standard Python randomness. Does anyone have a way to make sure Lasagne solutions are reproducible?,1,bronze,13,Sun May 03 2015 17:28:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13961,/competitions/otto-group-product-classification-challenge,8th
/brijeshtripathi,Cross-Validation on RandomForest ,"In our ""Analytcs Edge"" classes, we were told how to apply Cross-Validation method to increase the efficacy of a CART model (rpart). I am wondering if the same method is applicable to RandomFirest method as well... I don't remember seeing any examples of the same or a similar technique getting applied to RandomForest model. Did I miss it? Can someone help with the same? Thank you!!",0,None,1,Sun May 03 2015 20:06:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13962,/competitions/15-071x-the-analytics-edge-competition-spring-2015,519th
/justaengineer1,Lag polynomial with argument in time series,"I'm followinghttp://faculty.chicagobooth.edu/john.cochrane/research/papers/time_series_book.pdfto ramp up on time series (my background is Elec Eng). I'm havingconfusion about the meaning of some notation: When a variable thatrepresents a lag polynomial is supplied with an integer argument. Cananyone clarify what is the prevailing interpretation? In the above link, this occurs on page 112, where the cumulative sumof an impulse response is equated to a(1). As shown in the lastparagraph, a(L) is a lag polynomial, so it looks like he means totake L=1 as the argument. I'm not sure what that means, since L isnot a real number. I have a similar confusion on pages 48-49, where lag polynomials A(L)and B(L) are referred to with L=0. From equation at the top of page51, it seems that the argument L=0 extracts out the coefficient forthe L^0 term, so it presumes a specific form of the polynomial, i.e.unfactored form. If this is correct, it probably doesn't apply to theA(L=1) on page 112, because the coefficient is already referred to asa_1. Thanks for any clarity.",0,None,3,Sun May 03 2015 20:09:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13963,None,None
/mdomar,"ERROR: while caret:   At least one of the class levels are not valid R variables names; This may cause errors if class probabilities are generated because the variables names will be converted to: X0, X1","In train.default(x, y, weights = w, ...) : At least one of the class levels are not valid R variables names; This may cause errors if class probabilities are generated because the variables names will be converted to: X0, X1 As i get this error ,I tried all the replacements for caret end of the day i need caret way approach for few models,So tried t solve this prob I understood that this is because the data in the terms is numeric which while converting into words causes the problem so i converted the binary to logical now my data set has all variables with TRUE or FALSE but still i get the same error . Please Help. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/76393/2415/Untitled.png",0,None,3,Sun May 03 2015 20:53:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13964,/competitions/15-071x-the-analytics-edge-competition-spring-2015,419th
/nitinbhardwaj00,Calssifier Parameter Optimizations in R,"Hi All, I have been using python scikit module for model evaluation. Its been quite a while since I practiced coding in R. I find grid_search scikit modules for parameter evaluation and model.feature_importances_ (where modei is classifier object) for feature engineering pretty useful for optimizing model parameters. Are there similar modules that I can use in R for parameter optimization?",0,None,3,Sun May 03 2015 21:02:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13965,/competitions/bike-sharing-demand,619th
/ask788,Is the hype around data overrated?,"As much as I love this course and playing around with data, I can't help get a bad feeling that any random Joe with a few weeks of experience in R get an amazing accuracy of > 92%. Those who have spent years and years developing deep knowledge of these algorithms will at best only get somewhere between 94-95%. I work for a tech company and know that in the business world that increase in accuracy is absolutely not helpful when you take into account the increase in model complexity and man hours spent trying to get the increase in accuracy. (unless we're talking about saving lives, that's different. In fact at worst you might get fired if you waste so much time tweaking algorithms and bring in no additional business value. This is not just this competition. I've been doing modeling work at work too and I've noticed that out of the box solutions always get us a good accuracy and all sorts of data magic tracks will only get us only a few % increase in accuracy. So my concern is, outside of Kaggle, what is the point of all of this? The bigger concern I have is that given that it is so easy to run out of the box corporate solutions, I foresee companies moving towards automated machine learning solutions in which an analyst simply plugs in the data, maybe tidies a few things up and the algorithm runs and the software scales the model to the existing company data warehouse. Not a single line of code ever written.Thoughts?",1,None,14,Sun May 03 2015 21:12:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13966,/competitions/15-071x-the-analytics-edge-competition-spring-2015,313th
/tjames,Submission Error,"Any more insight as to what this error means? Thanks Column '' was not expected (Line 1, Column 15)",0,None,2,Sun May 03 2015 23:09:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13967,/competitions/restaurant-revenue-prediction,1896th
/del=349d982800f8a993,2340 teams - Second biggest competition in Kaggle's history?,Is this the second biggest competition in Kaggle's history (or of any data science competition in the world)? Good luck for all tomorrow.,1,None,7,Sun May 03 2015 23:25:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13968,/competitions/restaurant-revenue-prediction,571st
/angelicahom,How to bin by paid fare - Excel tutorial,I'm stuck on creating a logical statement for grouping by the fare paid. I've tried the if statement but I don't think it can handle multiple true/false conditions. Can anyone lead me in the right direction?,0,None,2,Sun May 03 2015 23:44:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13969,/competitions/titanic,None
/jiweiliu,What is your best Leave-one-out cv score?,"Hi, is there anyone using the leave-one-out cross validation? What is the best score, and the corresponding LB score? My two final models: 1) loo: 2347342, lb: 1718636 (the RF benchmark) 2) loo: 1592006, lb: 2621445",4,bronze,7,Mon May 04 2015 00:02:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13970,/competitions/restaurant-revenue-prediction,383rd
/guidotapia,submissions down?,"Just trying a submission and getting an 'Oops' page. Is there any known issues at the moment? Tnx Edit: It appears the submission was actually accepted but is stuck in ""Pending"" mode (on My Submissions page). Edit 2: Appears to have resolved itself now",0,None,2,Mon May 04 2015 00:12:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13971,/competitions/otto-group-product-classification-challenge,16th
/rawidge,Grepl Query : What is the limit one should place on external words?,"Is there some limit, one can use to decide which words to add to the bag of words, after finding their frequency using grepl? like if it occurs more than 300 times out of 6500 words? or a higher limit? Fundamentally, how do you decide which (external words like eg. Ebola,google,Wall Street,which are common words associated with NYT are good enough in number, so they can be added?)",1,bronze,2,Mon May 04 2015 00:16:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13972,/competitions/15-071x-the-analytics-edge-competition-spring-2015,158th
/asimkievich,"a few tips to install theano on Windows, 64 bits","hi everyone, after spending an entire weekend trying to re-install theano (it worked in the end), I thought I could share a link to a page some noble soul posted some time ago: http://rosinality.ncity.net/doku.php?id=python:installing_theano It is both in Korean and English. Step by step description, everything you need is there. Installing theano is tricky, especially for non C developers, because you need a 64 bit g++ compiler and you need to work on the pythonxx.dll file. Good luck. Best, Alex",11,silver,39,Mon May 04 2015 00:28:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13973,/competitions/otto-group-product-classification-challenge,87th
/del=2130ed41f43da0f8,Looking for a team,"Is anybody looking to team up? My background: BSc in physics and MSc in statistics, I'm an actuary turning to data science with 1 full year of experience in the field within a startup. I'm fairly new to Kaggle challenges and I can work on it only a few hours a week. My language of choice is R, however I'm keen to learn Python so this might be the time to do so!",0,None,4,Mon May 04 2015 11:31:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13981,/competitions/predict-west-nile-virus,1041st
/kcmbonu,new bie,"Hello i am new to here i was looking for a forum where i can share my view and codes to work on several projects, am kinsley a currently studying Data science at SDSU . will love to meet wonderful people here Thanks",1,bronze,1,Mon May 04 2015 19:10:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/13996,None,None
/chechir,Distilled: what worked the best?,"Hello, maybe we can start sharing what aproax was the most useful for us. I spended my last submission. For me, a cool model is glmnet. Until certain point you can through variables like madness to this model and it will decide the best The other really cool is xgboost. Sadly that I discovered it just today. It is very fast and apply to regressions and classification problems. Also, as many of you mentioned, doing ensambles improved the result. Even with not so good models. Thank you all who posted",4,bronze,16,Mon May 04 2015 23:05:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14003,/competitions/15-071x-the-analytics-edge-competition-spring-2015,12th
/benhamner,What languages do you want to see next on Kaggle Scripts?,"So far, we've enabled R and Python to work on [Link]:https://kaggle.com/scripts. We'll be adding support for more in the coming months. What languages do you use for modeling and visualization? What ones do you want us to add next?",6,bronze,20,Mon May 04 2015 23:07:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14004,None,None
/benhamner,Share your Scripts & Visualizations,"As this competition wraps up, we encourage you to share your scripts and visualizations on this data through [Link]:https://www.kaggle.com/c/restaurant-revenue-prediction/scripts! Kaggle Scripts provides R and Python environments that are preloaded with the data files and many of our favorite analytics libraries. Some interesting ones so far include [Link]:https://www.kaggle.com/users/292883/taposh/restaurant-revenue-prediction/outlier-impact-density-plot [Link]:https://www.kaggle.com/users/292883/taposh/restaurant-revenue-prediction/outlier-impact-density-plot [Link]:https://www.kaggle.com/users/993/ben-hamner/restaurant-revenue-prediction/t-sne-restaurant-visualization [Link]:https://www.kaggle.com/users/993/ben-hamner/restaurant-revenue-prediction/t-sne-restaurant-visualization [Link]:https://www.kaggle.com/users/161503/qiqiestunegrossememere/restaurant-revenue-prediction/correlationship-matrix [Link]:https://www.kaggle.com/users/161503/qiqiestunegrossememere/restaurant-revenue-prediction/correlationship-matrix [Link]:https://www.kaggle.com/users/993/ben-hamner/restaurant-revenue-prediction/top-10-leaderboard-performance-over-time [Link]:https://www.kaggle.com/users/993/ben-hamner/restaurant-revenue-prediction/top-10-leaderboard-performance-over-time",7,bronze,5,Mon May 04 2015 23:17:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14005,/competitions/restaurant-revenue-prediction,675th
/akohair,Please be Patient with Submissions,"Hi everyone, Please be patient when submitting Kaggle submissions in the next few hours. Since the competition is nearing the end, there is an unusually high number of submissions happening right now. The Kaggle team is doing everything they can to continue processing these submissions, but the processing time might be slower than normal. Try not to make duplicate submissions, since it will use up your daily submission limit. The processing time will be particularly slow in the last 30 minutes of the competition. Thanks for understanding, and great work on the competition! -15.071x Course Team",2,bronze,4,Mon May 04 2015 23:56:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14007,/competitions/15-071x-the-analytics-edge-competition-spring-2015,None
/aseem1,will submission be graded (just for learning purpose) after the competition is over.,Will I get a score if i submit a submission after the deadline. submission rank wont matter. I would like to keep working on my current algorithm.,0,None,4,Tue May 05 2015 00:34:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14008,/competitions/restaurant-revenue-prediction,2156th
/tqchen,Script: Understanding XGBoost Model on Otto Dataset,"This is a kaggle Rmarkdown script created by [Link]:https://github.com/pommedeterresautee (he was traveling so i am posting on his behalf). While xgboost was known for its speed, the R-package also offers many useful functions to visualize and analysis the models, most of them contributed by Michaël The script (updated to include more examples): [Link]:https://www.kaggle.com/users/32300/tianqi-chen/otto-group-product-classification-challenge/understanding-xgboost-model-on-otto-data [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/76715/2435/Understanding XGBoost Model on Otto Dataset.html",34,gold,27,Tue May 05 2015 00:38:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14009,/competitions/otto-group-product-classification-challenge,None
/ycho327985,Why did this fail?,"So I made a submission - it got me a 0.936 AUC on my RF model applied to the training set but totally bombed and hit only about 60% once submitted. I'll try to really clearly outline what I did, just not sure why it pooped the bed so severely once I submitted. I'm just curious and looking to learn. Is my model just bad and overfitted to the training set, or is there something I really screwed up? Here is what I did, without listing every single step to play within the rules of the competition. 1. Read the CSV files in and combined to a bigger dataframe: NewsTrain = read.csv(""NYTimesBlogTrain.csv"", stringsAsFactors=FALSE) NewsTest = read.csv(""NYTimesBlogTest.csv"", stringsAsFactors=FALSE) all = rbind(NewsTrain[, !(colnames(NewsTrain) %in% ""Popular"")], NewsTest) 2. Created $wday and $hour variables and converted everything to factors: all$PubDate = strptime(all$PubDate, ""%Y-%m-%d %H:%M:%S"") all$Weekday = all$PubDate$wday (did the same for hours) Converting to factor variables: all$NewsDesk = as.factor(all$NewsDesk) all$SectionName = as.factor(all$SectionName)...etc for SSN, Headline, Snippet, Abstract 3. Split it back into a Testing and Training set (and added the original NewsTrain$Popular into the Testing set as a factor): NewsTrain1 = head(all, nrow(NewsTrain)) NewsTrain1$Popular = as.factor(NewsTrain$Popular) NewsTest1 = tail(all, nrow(NewsTest)) 4. Make Corpuses of the Abstract and Headline variables, do all the preprocessing, and combine them: CorpusAbstract = Corpus(VectorSource(all$Abstract)) CorpusAbstract = tm_map(CorpusAbstract, tolower) etc, for PlainTextDocument, removePunctuation, removeWords (stopwords(""english"")), stemDocument dtm = DocumentTermMatrix(CorpusAbstract) sparse = removeSparseTerms(dtm, 0.99) AbstractWords = as.data.frame(as.matrix(sparse)) colnames(AbstractWords) = paste(""A"", colnames(AbstractWords)) colnames(AbstractWords) = make.names(colnames(AbstractWords)) ////Repeat similarly to create CorpusHeadline CombinedAH = cbind(HeadlineWords, AbstractWords, row.names = NULL) 5. Split this corpus into a Testing and Training set and add the dependent variable to the Testing set: CombinedAHTrain = head(CombinedAH, nrow(NewsTrain)) CombinedAHTest = tail(CombinedAH, nrow(NewsTest)) CombinedAHTrain$Popular = NewsTrain1$Popular 6. Added extra columns of variables into the sets: CombinedAHTrain$WordCount = NewsTrain1$WordCount CombinedAHTest$WordCount = NewsTest1$WordCount ///repeat this process for NewsDesk, Weekday, Hour, SectionName, SubsectionName 7. Created and ran the RF model: CombinedAHForest = randomForest(Popular~., data=CombinedAHTrain) predForest = predict(CombinedAHForest, type = ""prob"") ROCRPred = prediction(predForest[,2], CombinedAHTrain$Popular) as.numeric(performance(ROCRPred, ""auc"")@y.values) ----> this returned 0.936 8. Submitting the dang thing/ running it on the CombinedAHTest set for predictions: predTest = predict(CombinedAHForest, newdata=CombinedAHTest, type=""prob"")[,2] MySubmission = data.frame(UniqueID = NewsTest$UniqueID, Probability1 = predTest) write.csv(MySubmission, ""SubmissionCombinedAHForest.csv"", row.names=FALSE) Why's my model performing so badly on the test set? Did I screw it up? I haven't tuned it and ran it on just most of the variables, but I just wanted to be able to get something to work and didn't figure it would be this terrible. Any tips and insights appreciated.",0,None,4,Tue May 05 2015 00:47:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14010,/competitions/15-071x-the-analytics-edge-competition-spring-2015,306th
/promentis,Model correlations,"So towards the end I was putting together ensemble predictions and I did a correlation on my predictions from the 4 different models I used on the test set. Here's what it looks like: GLM GBM SVM RFGLM 1.0000000 0.8214158 0.7720580 0.8629499GBM 0.8214158 1.0000000 0.7427379 0.9465162SVM 0.7720580 0.7427379 1.0000000 0.8304658RF 0.8629499 0.9465162 0.8304658 1.0000000 It's interesting to see how SVM doesn't correlate well with the others. In the end, my final two submissions were a GBM model, and a 50/50 average of GBM and RF predictions. The latter moved me up about 200 spots, but I think there's some serious overfitting going on. We'll see soon enough.",0,None,1,Tue May 05 2015 01:01:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14011,/competitions/15-071x-the-analytics-edge-competition-spring-2015,95th
/annavictoria,Kaggle's Script of the Week,"Every Friday we'll be tweeting out a #scriptoftheweek as selected by the @Kaggle data science team. We want to highlight some of the most interesting and informative visualizations and code that are being shared on scripts with the larger data science community. I'll also be posting the script of the week here so unsocial (media) Kagglers don't miss out. Today we're playing catch up on the past two weeks: April 24: Don't miss [Link]:https://www.kaggle.com/users/114978/triskelion's [Link]:https://www.kaggle.com/users/114978/triskelion/bike-sharing-demand/check-adherence-to-benford-s-law that checks adherence to [Link]:http://en.wikipedia.org/wiki/Benford's_law, as seen on the [Link]:https://www.kaggle.com/c/bike-sharing-demand playground competition. [Link]:https://www.kaggle.com/users/114978/triskelion/bike-sharing-demand/check-adherence-to-benford-s-law May 1: [Link]:https://www.kaggle.com/users/213536/vasco's [Link]:https://www.kaggle.com/users/213536/vasco/predict-west-nile-virus/west-nile-heatmap from the [Link]:https://www.kaggle.com/c/predict-west-nile-virus competition makes it easy to see where hotbeds of mosquitos tested positive. [Link]:https://www.kaggle.com/users/213536/vasco/predict-west-nile-virus/west-nile-heatmap We also loved the [Link]:https://www.kaggle.com/users/144122/neil-summers/predict-west-nile-virus/west-nile-heatmap-by-year that [Link]:https://www.kaggle.com/users/144122/neil-summers created by forking Vasco's script. [Link]:https://www.kaggle.com/users/144122/neil-summers/predict-west-nile-virus/west-nile-heatmap-by-year Another awesome script caught your eye last week? Feel free to share it here!",11,silver,23,Tue May 05 2015 01:09:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14012,None,None
/justinnafe,Same Score with Each Submission,"Whenever I submit my results, I get the same score every time. I checked that I use the same headers and the expected number of rows. All checks out. To test this, I tried all zeros and all ones (same score each time). Does anyone else have this issue or a solution? Is it an encoding issue? I am using azure's machine learning platform to generate the CSV file. The next time I am able to submit, I will try with just using R.",0,None,4,Tue May 05 2015 01:10:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14013,/competitions/predict-west-nile-virus,1190th
/albarazanchi,convnet Keras,Hello 3-layers Convolutional neural network using keras https://github.com/kaggle-novice/mnist_keras,4,bronze,2,Tue May 05 2015 01:26:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14014,/competitions/digit-recognizer,None
/spaceman,This is what the Analytic equation for the challenge looks like,"I write this for the Novice Kaggler; hoping they will learn something new about competing on Kaggle... My particular case is I learn that the training dataset is not as clean and pristine as one would expect Here are the the analytic equations that were discovered for this challenge via Grammar Evolution with the goal of producing the smallest number of parameters to fit the data. Equation 1: R^2 of 0.758 on the training dataset. [Link]:https://drive.google.com/open?id=1Cn3Ye0MxqVJEWx45fjEj0tmg8ffD-pp7hw&authuser=0 revenue = min(147236.999250059*Months, max(6193527.5183725*erf(0.206803524574307 + if(P17, P17/(P11 + mod(147236.999250059, P17)), 0.206803524574307*P28)), 5195179*P1*P6 - 5823282.25071344*P6*P22*P23*P29)) and Equation 2: R^2 of 0.688 on the training dataset. revenue = 3926*Months*P4*P6*greater(P1, P22*P23*P29) + min(1243721*P28 + 15442*Months*P16 + 3926*Months*P4, 5018980.44282025) - 79197.1642193048*P34 Noticing that the adjusted R^2 basically I should not have more than five variables I removed the ""3926*Months*P4*P6*greater(P1, P22*P23*P29) "" term since these variables were appearing in oddly (not what I would expect a human to design) That modified equation let me know actually adjusted R^2 was the right way to go and only keep the major occurring variables of all equations ever generated by the GE since it created a major big boost to my prior Kaggle ranking. I basically did the same-thing to Equation 1 pruning ""if(P17, P17/(P11 + mod(147236.999250059, P17)),"", getting a significantly lower R^2 on the training set but a good improvement on the Kaggle Public LB; but not enough to improve my prior submission. unfortunately I didn't have time or submissions left to see how it would behave as I pruned other apparently noise inducing variables In all my equation produced P28, P29, and Month, were driving variable. The City Grouping and Type would appear in unusual equations but above a certain level of R^2 would be automatically removed; indicating their influence relative to revenue My take away from this second experience in the Kaggle competition is not to be innocent about the nature of the training dataset; my innocents to the Kaggle that lead me to think the training data was straight forward; Didn't know Kaggle fudge/fake/added (whatever word you want to use) to the the training dataset..--I was always wondering why when I went above R^2 of 0.65 my equation started to look like nothing a human would produce Now I know from the discussion in [Link]:https://www.kaggle.com/c/restaurant-revenue-prediction/forums/t/13950/our-perfect-submission/76745#post76745 That Kaggle purposely put garbage into the training and from my reading of the other forum test datasets All of us should this fact in mind as we compete in future Kaggle Challenges.... Hopefully this be things to consider for all novices in futures Kaggle challenges. Michael",-20,None,23,Tue May 05 2015 01:27:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14015,/competitions/restaurant-revenue-prediction,1608th
/dgtg332754,How do I select my 2 selections?,every time when I tick off the selection box for my 2 selections and I think I have selected them they are unchecked when I log back into my submissions. So how do I know if my 2 selections have been recorded?,0,None,3,Tue May 05 2015 01:45:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14016,/competitions/15-071x-the-analytics-edge-competition-spring-2015,1819th
/promentis,Congratulations to the winner(s),"Congratulations to the people who ended up in the Top 50! Looking forward to seeing how you constructed your model. Here's what I did: - converted the categorical variables (SectionName etc.) into factors after transforming the missing values into a dummy string (e.g. SectionNameMissing). - log(WordCount+50), then normalized using scale function - extracted PubDay and PubHour from the date, made them factors - feature selection from Headline words only (figured the Abstract/Snippet was useless) using glmnet (thanks Utah777!), resulted in 246 words - played around with rf, gbm, svm, glm (no CV, no mtry, no tuning to speak of - that's it! Edited to add: my two submissions were 1) a combination of RF and GBM predictions and 2) my best GBM model. The GBM model is what shows up on the leaderboard now--on the initial submission the LB score was 0.93025, final LB score was 0.90696.",2,bronze,17,Tue May 05 2015 02:13:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14017,/competitions/15-071x-the-analytics-edge-competition-spring-2015,95th
/jiweiliu,Congratulations to winners,Congratulations!! Have to scroll down a lot to find my rank :D,2,bronze,22,Tue May 05 2015 02:18:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14018,/competitions/restaurant-revenue-prediction,383rd
/hugomc,Find the closest weather station,"Hello ! I want to use the data from the weather station which is the closest to the trap, so I made a little R script which you can find here : [Link]:https://www.kaggle.com/users/219229/hugom/predict-west-nile-virus/find-the-closest-weather-station Everything seems to work great but I'm a bit confused because on the map, I think that many traps are not associated with the right station : the ones on the top-right. Am I missing something ? Thanks for your help [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/76765/2432/closeststation.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/76765/2443/closeststation_geosphere.png",1,bronze,8,Tue May 05 2015 02:19:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14019,/competitions/predict-west-nile-virus,994th
/oconnoda,Congratulations to all,"It was a lot of fun and I learned a lot. I hope you did too. I posted my model on github if you're curious... https://github.com/oconnoda/Kaggle_AnalyticsEdge_Spring2015 Here is what my features looked like... 'data.frame': 6532 obs. of 12 variables: $ NewsDesk : Factor w/ 15 levels """",""Business"",..: 2 3 2 2 11 11 11 11 9 3 ... $ SectionName : Factor w/ 17 levels """",""Arts"",""Business Day"",..: 4 2 3 3 5 5 5 5 10 2 ... $ SubsectionName: Factor w/ 24 levels """",""Arts"",""Asia Pacific"",..: 5 2 6 6 9 9 9 9 14 2 ... $ WordCount : num 508 285 1211 1405 181 ... $ dow : Factor w/ 7 levels ""Friday"",""Monday"",..: 2 2 2 2 2 2 2 2 2 2 ... $ tod : int 22 21 21 20 18 18 18 18 17 16 ... $ isQ : Factor w/ 2 levels ""no"",""yes"": 1 1 1 1 1 1 1 2 1 1 ... $ isBoring : Factor w/ 2 levels ""no"",""yes"": 1 1 1 1 2 1 1 1 1 1 ... $ isNotBoring : Factor w/ 2 levels ""no"",""yes"": 2 2 2 2 1 2 2 2 1 1 ... $ wordP : num 1.21 1.25 0 0 0 ... $ ppd : int [1:6532(1d)] 84 84 84 84 29 29 29 29 29 29 ... ..- attr(*, ""dimnames"")=List of 1 .. ..$ : chr ""2014-09-02"" ""2014-09-02"" ""2014-09-02"" ""2014-09-02"" ... $ Popular : Factor w/ 2 levels ""0"",""1"": 2 1 1 2 2 2 1 2 2 1 ... Rather than create features for each word or phrase, I ganged them together into three variables. isBoring = yes if the article headline or abstract contains a word or phrase associated with unpopular articles and isNotBoring = yes for popular articles. wordP is a numeric measure of the popularity associated with selected words in the article headline and abstract. I used a function to generate lists of words along with the mean popularity of articles containing that word and how many times it appears in the training data and how many times it appears in the test data. I looked for words in this list that have either low or high popularity, occur frequently in the test data, and appear often enough in the training data to give confidence in the mean popularity. One other item of possible interest. I noticed a correlation between the number of posts per day and the mean popularity of posts for that day (~-0.76) so I included posts per day as a feature.",21,silver,25,Tue May 05 2015 03:09:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14021,/competitions/15-071x-the-analytics-edge-competition-spring-2015,71st
/spaceman,"""my Submissions"" viewing","I the ""my submission"" I see only public scoring of my individual files. Is there a way to discover what the private scoring is? For a number or reason my 2 selections was a complete random choice.... It would be interesting to know what would have happened had I chosen differently Thanks",0,None,2,Tue May 05 2015 03:19:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14023,/competitions/restaurant-revenue-prediction,1608th
/vimalmshetty,Thanks to All & Congratulations!,"Dear Frnds, Thanks to All & Congratulations to each and everyone. Because, for most of us it was first real world data challenge. This was my first kaggle competitions. It was fun, exciting and I gained lot from from our forum discussion. I did use the methods thought in our class with some suggestions received from forums. I think one of the key to my success might be the function 'Polarity' from 'qdap' package. This article helped me in getting the started: [Link]:http://okdork.com/2014/04/21/why-content-goes-viral-what-analyzing-100-millions-articles-taught-us/ Hope this will be useful. One small questions. Do we need to submit our code? If yes, where to submit? Thank you all again, Regards, Vimal",1,None,24,Tue May 05 2015 03:31:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14024,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2nd
/launeric,what is the codeSum in weather.csv ?,Hi Community what is the CodeSum in weather.csv ? It is mostly NULL ? -Thx.,0,None,6,Tue May 05 2015 03:38:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14025,/competitions/predict-west-nile-virus,752nd
/maineiac,Lessons learned?,"After an awesome drop of over 1600 places, I feel humbled. Thanks, Kaggle! Despite all the warnings about overfitting written over and over again on the forum, I did just that. I'm trying to see what kind of lessons I can learn from this, though. One thing seems to be that simpler is better when dealing with such a small training set. The thing that got me here, though, is that in the end I couldn't trust my local CV. What can you do in that sort of situation? I'll go and lick my wounds, drown my sorrows, etc., but while I'm doing that, care to chime in with any words of wisdom or lessons you feel like you learned?",21,gold,54,Tue May 05 2015 03:39:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14026,/competitions/restaurant-revenue-prediction,1660th
/khattab34,2 final submissions,"Hi, Do someone know if the final 2 submissions for the private leaderboard are taken automaticly on the 2 best submissions on the public leader Board ? I forgot to choose 2 submissions to be candidate for the private leaderboard. thanks",0,None,2,Tue May 05 2015 04:22:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14027,/competitions/restaurant-revenue-prediction,1104th
/launeric,incomplete spraying data for testing set,"Hi community The spraying data is from 8/29/2011 to 9/5/2013 The training data is from 5/29/2007 to 9/26/2013 The testing data is from 6/11/2008 to10/2/2014 Can we get spraying data that cover all the time range ? If spraying data is important that mean we have only 2011,2013 years to train the data ? Which is half of the training data ? My intuition says it is do-able but not optimal and can be a waste of resource ? Can someone use the spraying data and see a significant improvement in the score ? -Thx",0,None,1,Tue May 05 2015 05:52:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14029,/competitions/predict-west-nile-virus,752nd
/nr7116,pls share your code!,"Hi Guys, learning is not over. Bunch of us could learn a lot by seeing a working code. It may or may not have put you on the top. I see a lot of knowledgeable people behind me on LB - that doesn't mean much to me. I probably accidentally fit to the unseen data. I would still like to see all your code. and thanks to all who already shared. I know unit8 and 9 are on us already, so take your time but don't forget please.",6,bronze,34,Tue May 05 2015 06:23:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14030,/competitions/15-071x-the-analytics-edge-competition-spring-2015,123rd
/amitstei,"Graceful Winners, Graceful Losers","Let's share our losing solutions! - Tried about any imaginable feature engineering and tried to treat ""0"" as missing and impute them with various techniques. Usually, achieveing worse local and leaderboard scores, but the differences were small. - Completely ignoring the LB, using Leave-one-out CV and 1000-Bootstrap replicates validation as the LB I trust. Indeed, I did not overfit - position 1xxx on both the public and the private leaderboards. Indeed, broken clocks never overfit - they keep being accurate twice a day ;) - Removed three outliers with the Jackknife method. That reduced variance and made local CV much more consistent. - I had more luck with random forests than with anything else, so I invested my time extending the R randomForest and RRF implementations by adding some extra bias correction, uncorrelated features, and other regularization methods. They all improved my local CV to a small degree (about 20% reduction in RMSE). My feeling is that beyond luck , knowledge of Turkey and statistics should have helped some participants. Given that in most places TFI has just a few restaurants, simply asking around should have helped reveal most of the restaurants in the train and test set, and even get a rough ranking of their performance. Such background knowedge might have really helped some participants judge the results ""qualitatively"", ignoring the LB and winning the prize.",5,bronze,5,Tue May 05 2015 07:01:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14031,/competitions/restaurant-revenue-prediction,1227th
/zhazha,no.1 for test set(60%) was 0.94; now no.1 for the rest test set(40%) is 0.92 only. what does it mean?,"Does it mean the test set is not reasonable large, so it's very easy to overfit? I had this puzzle for a few days already. I split the train set into subtrain(70%) and subtest(30%), and my model trained by subtrain always got a auc around 0.94 on subtest. Then I use the same method to train the model on whole train, then it only got a 0.92 on test(60%). Now my final auc on test(the rest 40%) is only 0.90. How to interpret this decline 0.94->0.92->0.90 ? zhazha",0,None,5,Tue May 05 2015 07:08:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14032,/competitions/15-071x-the-analytics-edge-competition-spring-2015,370th
/alkamid,A decent model in Python,"First of all, congratulations to all of you. Thank you for your contributions to this forum — I found some discussions very informative and I'm sure I wouldn't have ended up in a decent (#14) place if not for your advice. As I mentioned on the edX discussion board, I'm doing this course in Python only, just because... It's probably true that R can do more (e.g. plotting over maps is so much easier), but Python has the enormous advantage of a clear, standardised documentation. Anyway, below is a link to my model. If parts of it are not comprehensible for non-Pythonists, I'd be happy to elaborate. https://github.com/alkamid/The-Analytics-Edge-in-IPython/blob/master/Kaggle/Kaggle%20-%20final%20model%2C%20RF%2BGBM.ipynb",13,bronze,4,Tue May 05 2015 08:45:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14033,/competitions/15-071x-the-analytics-edge-competition-spring-2015,14th
/gertjac,Clarity on testset,"Congratulations to the winners, and especially to everyone who kept a top position in both public and private leaderboard. I'm looking forward to see your solutions. During the competition, I had discussions with several kagglers about the data: is the dataset too small, too skewed, and does it have too many unknowns to do anything? Or is it still an interesting opportunity to 'try not to overfit'. I was convinced that it is interesting, because I thought I found a reliable way to evaluate models in the trainset, using the average of many tenfolds. My approach has lead to horrible results and I find myself almost at the bottom of the leaderboard (public 1040, private 1749). I had expected a much better score on the private lb, because I am very careful not to use public lb feedback - especially not when the testset is small and the train/test split is random. One likely explanation is that I underestimated the 'smallness' of the dataset and overfit the trainset a lot, by trying too many models, selecting too complex models and tuning models too far. (I tried everything in sklearn and finally used a mix of Random forest, SVR with rbf kernel and Ridge - also tuning C and alpha). Another possible explanation is in the test set. It may be too small to 'judge models' or it may even be systematically different from the trainset. Therefore, for all of us to have a better understanding of why things did or didn't work, I would be very happy with an official answer to the following questions: - what is the size of the testset? - is the train/test split random? (and if not, why has it not been told during the competition)",5,silver,14,Tue May 05 2015 08:54:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14035,/competitions/restaurant-revenue-prediction,1681st
/ewandao,Full of questions regarding the leader board.   What is the theoretical best accuracy for this task?,"I achieved 98% test accuracy with RICA + Convolution + softmax. My score is quite lousy compared to the leader board, so I wonder what method did those guys use to achieve near perfect score? Did they cheated? If yes, how? The leader only submitted one time!What is the theoretical best accuracy, and what's the best way to solve this task? It's my first post on kaggle, I am very new to this, and full of questions. Really appreciate any clarifications. Thank you.",0,None,2,Tue May 05 2015 09:33:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14037,/competitions/digit-recognizer,None
/rawidge,Trying to see the results of my model but it shows NULL,"So, i'm trying to see the results on the private leaderboard of my other models , by submitting the files for them after the deadline. For each of them, i;m getting the result, ""if you submitted this result, your ranking would be NULL"" Can someone explain?",0,None,1,Tue May 05 2015 12:42:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14040,/competitions/15-071x-the-analytics-edge-competition-spring-2015,158th
/florian13,TIMESTAMP,"Hi, can you please clarify in what the format of the timestamp is? E.g. what does the integer 1408039037 mean? If it is seconds, which real time represents ""0"" ? ThX ... Tried: OK, this really looks like seconds since 1.1.1970 (not Julian...) : As quick test, I used the min and max TIMESTAMP values of the test set records, this then turns out to be ""2014-08-14 16:02:23 GMT"" and ""2014-12-21 14:29:19 GMT"" after Conversion, which correspond to the min. and max. days given as snapshots in the data description...",1,bronze,1,Tue May 05 2015 14:03:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14041,/competitions/pkdd-15-predict-taxi-service-trajectory-i,73rd
/cfhlearns,Winner of an auction,"The description of the bidding platform mechanics is severely lacking and should be expanded. For instance, how do we determine the winner of an auction? Surely this is very important information in this task. Is it the bidder who got in the last bid for an auction? Or the bidder who put in the most bids in an auction? Or none of these, and we can't even determine this information?",1,bronze,13,Tue May 05 2015 14:29:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14042,/competitions/facebook-recruiting-iv-human-or-bot,357th
/chotch,"Admins, Please Address Auction-Merchandise Concerns","Admins - I imagine you were busy with the submission issues yesterday, so thank you for your work on that. Could you please address the concerns about the Merchandise feature? The question has been raised [Link]:http://www.kaggle.com/c/facebook-recruiting-iv-human-or-bot/forums/t/13823/unique-identifier-of-auction-should-be-one-item-right and [Link]:http://www.kaggle.com/c/facebook-recruiting-iv-human-or-bot/forums/t/13918/field-auction. Wendy having responded to the first thread, but I do not believe that addresses the concerns, which I've copied again below. I don't think anyone would expect clean data (though online systems for newer companies should be better than legacy companies who never expected to be used for extensive analysis). That being said, a sanity check turns up some results that would seem to indicate an error in the way the data was built. When looking at merchandise in the bids data you see two things: All bidders except for one only placed bids in one merchandise category. You would expect bidders' bids to be concentrated in one category, but not exclusive. Particularly with the explanation provided by Wendy earlier - if a bidder intended to always bid in ""furniture"", but the furniture auctions were sometimes listed as ""home goods"", then you would expect a person to unintentionally have bids in multiple categories. The counts of categories by auction is also quite revealing. Fewer than half the auctions have just 1 or 2 merchandise categories, and over 1500 have 7 or more (out of the 10) merchandise categories. These points certainly seem to point to something besides categories that are not curated well. Thank you.",6,silver,8,Tue May 05 2015 14:42:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14043,/competitions/facebook-recruiting-iv-human-or-bot,646th
/ankit25,R coding issue,How to create new variables and assign them value in “R” in a for loop. I tried for (j in 0 : 2){foo[j] =j} But it is not creating variables. I want output to be: foo0=0 f001=1 foo2=2 Any help appreciated.,0,None,5,Tue May 05 2015 14:54:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14044,None,None
/ankit25,R coding help,How to create new variables and assign them value in “R” in a for loop. I tried for (j in 0 : 2){foo[j] =j} But it is not creating variables. I want output to be: foo0=0 f001=1 foo2=2Any help appreciated.,0,None,1,Tue May 05 2015 14:56:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14045,/competitions/bike-sharing-demand,1166th
/eeyore02138,Looking at all submissions question,"What does the ""selected"" column mean when as an administrator I look at all submissions? Also, does Kaggle automatically choose each person's final submission based on how they did on the public data set? That is, their private score could be better but the final submission used in the competition is the submission with the best public score, is that correct? Thanks!",0,None,1,Tue May 05 2015 15:47:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14046,None,None
/hechen1,Plz ignore the top 1 score,I just made it up to have a test and it's not real. Anyone know how to cancel the submission?,0,None,8,Tue May 05 2015 16:17:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14047,/competitions/word2vec-nlp-tutorial,None
/mstock,Hierarchy is not on labels,"Hi, There is something that confuses me to no end: how does the hierarchy work? From the description I assumed it contains information about the tree of the labels/categories: e.g. the category 'unsupervised learning' is a child of 'machine learning' and 'data mining'. Basically, this would allow us to use hierarchical classification. But the file hierarchy.txt seems to be about the articles (it specifies a tree with around 2000000 nodes...). Is this the wrong file? Or does hierarchy indicates the graph of articles linking to each other (but this is not a direct acyclic graph...). Can someone clarify? Thanks, Michiel",1,None,3,Tue May 05 2015 16:21:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14048,/competitions/lshtc,None
/ljanek,Good Kaggle competitions for Newbies to try next?,"For those of us for whom this was our first Kaggle competition, I would love to hear from more experienced Kagglers any thoughts on other active competitions and which might be at an appropriate level of challenge to try next. Even though unfortunately I couldn't dedicate a huge amont of time to this competition it was a good learning experience, and I'm hoping to be able to build on what I've learned to try some of the other challenges. I'm wondering which contests are interesting and also approachable for a relative beginner. I've heard that the Titantic challenge is a good one to start with, and the Otto Group classification one looks interesting. I had also thought the Restaurant Revenue preidction contest interesting but it ended the same day ours did so I didn't get a chance to try it. Any feedback from those who have tried other contests, or which ones other beginners are planning to attempt next?",2,bronze,15,Tue May 05 2015 16:36:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14049,/competitions/15-071x-the-analytics-edge-competition-spring-2015,850th
/promentis,Formula vs. matrix input,"Someone, I think HamsterHuey mentioned in another post that the 'formula' approach (e.g. Popular~., data=...) did not work the same as the 'matrix' approach (all independents in X, dependent in Y, ( X,Y,...)), for some packages. This strikes me as odd. Did anyone have the same experience? If so, can you run a controlled experiment to see how different the results are? And let us know, of course! Thanks.",1,bronze,4,Tue May 05 2015 16:39:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14050,/competitions/15-071x-the-analytics-edge-competition-spring-2015,95th
/the1337beauty,Average Time to run in R,"For those of you who completed the kaggle competition and got a score of 0.9 or higher, how long did it take to run your entire solution in R? I've seen a few people mention that their final solution took hours to run so I'm wondering if this was similar with everyone. Unfortunately the computer I used for this entire class is my work laptop so I didn't have hours to spend running solutions. I'm wondering if that prevented me from finding a better fitting model. If this was a common trend, perhaps it should be mentioned somewhere on the competition or in the course to warn people so they can make proper arrangements?",0,None,10,Tue May 05 2015 16:57:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14051,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2758th
/thewinner,The difference between class 0 and class 1,Does anybody know the difference between the images from class 0 and class 1? I couldnt differentiate them.,0,None,7,Tue May 05 2015 17:03:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14052,/competitions/diabetic-retinopathy-detection,None
/spaceman,What is the best method to select submission for a final submission.,"For this particular challenge I choose randomly my two submission for final evaluation simply because I truly couldn't tell by public LB ranking which was truly my best submission since I had, in retrospect correctly so, become distrustful of the LB true ranking Anyone has any pointers?",2,bronze,2,Tue May 05 2015 17:24:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14053,/competitions/restaurant-revenue-prediction,1608th
/erengolge,Why do you think Neural Networks is not comparable with XGBoost for this dataset?,"For this challenge, it is obvious that tree based models and especially Gradient Boosted Trees is very superior to Neural Network models. A simple tree model gets very good results in a very fast manner as a NN model lacks. I am saying this relying on huge time devoted to beat GBT with variety of NN structures. I am really interested in to see the reason behind this fact. Why NN sucks for this Dataset and what are the reasons behind this. I open this thread to discuss this, if there are some people captured by the same problem. Please share your ideas... Thanks",4,None,6,Tue May 05 2015 17:51:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14054,/competitions/otto-group-product-classification-challenge,460th
/kdatkaggle,How to improve the model?,"Hi, I'm new to machine learning, I know how to preprocess data (mostly, cleaning the NAs...) and how to apply different models, and using cross validation, but I'm not sure how to make the prediction better. Everybody can use those models, so what makes your prediction better? I saw some people talking about feature engineering, I'm not sure what is the correct way of doing that, or it's just kind of try-and-error Is there a systematic way of making better predictions? Would be very helpful if you can recommend some books or websites, thank you!",0,None,2,Tue May 05 2015 17:52:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14055,/competitions/titanic,None
/mennotaanman,Motion Chart Visualization,"Taken visualization a step further I have included the time element as well with motion charts. There is a package called googleVis in R which uses the google library for making charts. More info here: [Link]:https://code.google.com/p/google-motion-charts-with-r/ I have put the results of the visualization online here to view: [Link]:http://www.ex-cel.nl/ It will show 4 graphs for each of the years (2007,2009,2011,2013). In the left bottom corner of each chart you will find a ""Play"" button. When clicking it will play a movie showing consecutive weeks. I'm planning to upload it in the scripts section but I cannot get it working yet there. Therefore, find attached the R script to do this. It doesn't need any external software. Hopefully this will help and inspire some of you even further :) EDIT: You need the second script uploaded [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77132/2451/Motion_Mosquitos.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77132/2452/Motion_Mosquitos.R",17,gold,3,Tue May 05 2015 20:28:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14059,/competitions/predict-west-nile-virus,67th
/rinzewind,"Please, share your codes","Hi, I see very few github links on the leaderboard. I think it is very important that we share the codes that we used for this challenge; it's really the best way to learn. Here are mine: https://github.com/rinze/kaggle-public/tree/master/restaurant-revenue-prediction",8,bronze,21,Tue May 05 2015 20:28:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14060,/competitions/restaurant-revenue-prediction,1397th
/liweilin,TED talk about smart-phone based eye exam.,Made me think of this competition. Thought it should be shared here. [Link]:http://t.ted.com/czSMrXh,5,bronze,3,Tue May 05 2015 21:40:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14061,/competitions/diabetic-retinopathy-detection,None
/arsenal,Winning Solution,"Hi all, greetings from Arsenal. I am sure you guys did great work on this problem. I wouldn't be surprised that my 2 submissions ended in private top 100, but I was quite surprised that mine was the 1st. I would say for this problem, top 5% by skill, top one by luck. I am still waiting for the final validation. I need to write a document anyway to claim the prize and I plan to share it. So be patient. (I will not share my code for this one since I am not good at version control right now.) What I can tell you for now is that the strategy I selected my 2 submissions were simple. One is the ensemble of several models with the highest public LB score. Another is a single (winning) model that the pre-process approach I thought was logical and reasonable yet not that complicated. The underlying model is just gbm. The public LB score for this one is ~1725, and the private LB score is ~1727. It looks consistent to me and could have certain degree of generality. So how useful is my solution? I mentioned in another thread that age shouldn't be included in this problem if TFI's only intention was to predict future revenues for new restaurants. Age is influential only because long standing restaurants tends to have higher revenues. For new restaurants, age is just useless. I encountered very similar problems in my work, and I excluded age at the first stage. Back to TFI, I would say $30000 totally worth it for them. I've seen million data warehouse project requiring only few analyst working on it for one or two years. TFI's limited prize attracted thousands of brilliant guys working on this particular problem for over one month and brings potential hire for them. Regarding my solution, if it's valuable, I would say it will be less than 10% of the total value. But do I deserve the prize? I say yes. But you tell me. Anyway, I will update this thread regarding more details of my solution once my winning solution document are ready.",53,gold,39,Wed May 06 2015 00:33:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14066,/competitions/restaurant-revenue-prediction,1st
/wendykan,Final results in progress,"Hi folks, Thanks for participating in this restaurant revenue prediction competition! Kaggle is happy to see the the popularity of this competition, and the intensity that it generated in the last few days. I'm running through some standard ""catch the cheaters"" procedure before I can verify the final leaderboard. There's a lot of participation and lots of submissions, so that procedure is taking a really long time. Please be patient and we'll conclude in a day or two. In the mean time, please do support Kaggle Scripts and share your solutions there for others to fork!",6,silver,7,Wed May 06 2015 00:46:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14067,/competitions/restaurant-revenue-prediction,None
/nr7116,what other courses are you guys doing ?,"I am finishing DASI , starting ML JHPH (coursera). ISL has already been discussed on the forum. What would give me more R practice on models? thanks",2,None,45,Wed May 06 2015 03:22:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14068,/competitions/15-071x-the-analytics-edge-competition-spring-2015,123rd
/abhishek,Still 30/70??,"After removal of test IDs from evaluation, does the public/priivate ratio still remain at 30/70?",0,None,1,Wed May 06 2015 04:16:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14070,/competitions/facebook-recruiting-iv-human-or-bot,27th
/spaceman,A way to see and everyones private submission as a whole ,Just saw my private submission score. Had I my selection process not been a random process and I selected my best private submission my score of 1843476.85208 would cause my ranking in the game to jump from 1608 to 761; a 847 point jump Anyone else having this realization? Does Kaggle have a way to see everyone best submission? It would be interesting for everyone ranking had a perfect selection was made by everyone.,0,None,18,Wed May 06 2015 06:37:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14071,/competitions/restaurant-revenue-prediction,1608th
/carloshuertas,TFI is interested in hiring top Kagglers,"""TFI is interested in hiring top Kagglers from this competition. If you're interested in a position with TFI, put (TFI) next to your team name to be considered"" So, how does that works after putting (TFI) ?, it appears that very few are interested. I collected some: Position / User6 TFI Manuel Díaz15 NxGTR (TFI) 19 ash hafez (TFI)153 turkmen (TFI)",0,None,1,Wed May 06 2015 06:50:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14072,/competitions/restaurant-revenue-prediction,15th
/jh2223690,Private Leaderboard Stat,"Here is the statistics of Private leaderboard resultsScoresDecile AUC 5% 0.73758110% 0.7805315% 0.7924220% 0.8352725% 0.8477230% 0.860235% 0.87365740% 0.87998645% 0.8813450% 0.8830255% 0.8846960% 0.8859665% 0.889570% 0.89165475% 0.89383580% 0.89667285% 0.89934790% 0.9022495% 0.905379100% 0.92337 IQR = 0.0461 Q1 = 0.8477 Q3 = 0.8938 You can calculate percentile rank using ecdf(kaggle$Score)(YOUR_AUC_SCORE) Will try to add some visualizations later, feel free to revert back if any further is required. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77257/2467/KagglePrivateLeaderFinal.csv",3,bronze,4,Wed May 06 2015 08:11:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14073,/competitions/15-071x-the-analytics-edge-competition-spring-2015,356th
/clustifier,benchmark anyone?,"Hi, Would it be ok to share here a basic benchmark?",0,None,2,Wed May 06 2015 08:42:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14074,/competitions/facebook-recruiting-iv-human-or-bot,64th
/ab19026,"since the imbalanced dataset,over-sampling or under-sampling?","it's obvious that there are 103 negative examples and 1911 positive examples in the trainning data,there are so many technics to classify the imbalanaced data at a low error-rate and in a simple but effective way,the sampling technique will be a good choice,so the question:will you under-sampling the majority class or over-sampling the minority class?",0,None,4,Wed May 06 2015 09:29:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14076,/competitions/facebook-recruiting-iv-human-or-bot,622nd
/joseleiva,Question about the split for public/private scores,"There is an important issue about how the test data is split in the 30%/70% sets for the public/private evaluations. I'd like to kindly ask the admins whether the split is completely random or it is made so that a whole item / store /event goes entirely to one of the splits. The question is relevant because it determines how much we can trust the public score and how high the risk of overfitting is. In the case of a completely random process, the public and private scores are expected to be similar, because samples of each event-item-store are present in both splits. In the second case I'm considering, the public score can be biased by the fact that is evaluating particularly easy o difficult items, stores or events. Thanks in advance!",0,None,2,Wed May 06 2015 11:21:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14077,/competitions/walmart-recruiting-sales-in-stormy-weather,16th
/florian13,Finished trips dont improve score?,"Hi, I wanted to know if there are trips that are already finished and putting their trip times to 15secs*nbr_of_points_in_their_polyline... (skipped the -1 here) would improve the score. To check if a trip is finished, check if the polyline contains less points than would be expected until the snapshot time. E.g. if trip starts at 17:50:00, the snapshot time is 18:00:00, one would expect roughly 10min/15secs = 40 polyline points at 18:00:00 snapshot time for that trip... Since snapshot times differ, I only used records corresponding to the day of ""2014-08-14 18:00:00 GMT"". In these, I found at least 4 trips should already be finished (""significant difference in nbr. of points and actual points""). But when putting the time for the 4 trips each to their ""needed to finish"" trip times, the total score actually got worse. Did somebody experience s.th similar - otherwise, could be programming error, misinterpretation of data or a real data quality issue for some trips? Since for most trips, I get usually around 0 difference (e.g. -1,0,1, due to rounding ...) between expected nbr. of points and actual points at snapshot times, I think programming error is less probable, MISSING_DATA for the four trips is ""False""... Best F [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77299/2468/Rplot-testraw-RealPointsMinusGamma.pdf",3,bronze,25,Wed May 06 2015 13:15:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14078,/competitions/pkdd-15-taxi-trip-time-prediction-ii,334th
/jasonyangpega,About data of a private in-class competition ,"Hi, I'd like to know if data of private in-class competitions can be changed or removed after it is launched? We have some proprietary data which should be available to download only before end date. After competition ends, no data can be downloaded by even participants. Is it possible to do so? Thanks,Jason",0,None,1,Wed May 06 2015 16:12:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14080,None,None
/nitinyadav,More Data Needed,"Hello, Can I have data with the bid amount? Thanks!",-5,None,3,Wed May 06 2015 17:12:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14081,/competitions/facebook-recruiting-iv-human-or-bot,None
/vincevelocci,"Trying to make a submission to Higgs Challenge, but always get an Error","Hi All, I'm new to Kaggle and I'm trying to upload my submission to the Higgs Machine Learning Challenge on Kaggle just to see how well I would have done had I participated. I believe they are still accepting submissions for this reason. However, when I try to submit either a .csv file or zip file, I get the same error: ERROR: Could not parse '4.00E+05' into expected type of Int32 (Line 50002, Column 1) ERROR: Could not parse '5.00E+05' into expected type of Int32 (Line 150002, Column 1) ERROR: Could not parse '6.00E+05' into expected type of Int32 (Line 250002, Column 1) ERROR: Could not parse '7.00E+05' into expected type of Int32 (Line 350002, Column 1) ERROR: Could not parse '8.00E+05' into expected type of Int32 (Line 450002, Column 1). I have checked my file and it looks like it is in the correct format. Do you (or anybody else) know what might be going on? Thank you.",0,None,2,Wed May 06 2015 17:30:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14082,/competitions/higgs-boson,None
/bigdatafan,Same Date. Same Trap. Different NumMosquitos and Different WnvPresent,"For example, in row 10265-10271, all the Date, Street, Trap, etc are the same except the number of mosquito and the presence of Wnv. I can't figure out why we have this situation. I know when the number of mosquito exceed 50, a new record is created. But why when the number of mosquito is less than 50, still there are some records? Can anybody help? Appreciated.",0,None,6,Wed May 06 2015 18:36:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14083,/competitions/predict-west-nile-virus,119th
/benhamner,Kaggle Scripts limits increased,We've increased the execution time limit on Kaggle Scripts to 10 minutes and the file output size limit to 50mb to enable you to share more complex scripts. Let us know if you have any other input on this!,4,bronze,1,Wed May 06 2015 18:46:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14084,None,None
/spsaaibi,Usuarios de Uniandes,Hola! Por favor respondan a este tema con su Nombre Completo y Usuario Uniandes.,0,None,11,Thu May 07 2015 00:43:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14087,/competitions/computational-methods-2015-10-hw8,None
/songwang,"units=0 in testing set for item 93, in store 2","There are many non-zero terms in train set for item 93, in store 2. However, for those days beyond April 1,2013, the values are zero's, for non-storm days. were these the original observations or after some manipulation?",0,None,2,Thu May 07 2015 05:45:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14088,/competitions/walmart-recruiting-sales-in-stormy-weather,254th
/cyhong549,looking for a partner,"HI all: I am a greenhand in kaggle. I graduate from a university in China. I study on Robotics as a PHD. But now,I work as Data analysis in a tourist company. I looking for long-term partners to study machine learning and attend kaggle competition together，not only for this competition. My tools is python,pandas and sklearn. I willing to learn R. Email: cyhong549@gmail.com",2,bronze,13,Thu May 07 2015 07:26:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14089,/competitions/diabetic-retinopathy-detection,None
/manasrkar,Feature generation for dataset - ideas?,"Hi, This is my first Kaggle event and this dataset intrigues me. A quick internet search on the Otto Group tells me this ""E-commerce is the Otto Group's strongest sales channel and one of its key future drivers. .... The range includes fashion, footwear, lifestyle accessories, furniture, interior décor items and toys, as well as technology, sport and leisure products......Some Otto Group companies, such as OTTO or Baur, now generate about two-thirds of their revenues from e-commerce."" Having dealt with POS data before, I am pretty sure that this is information for their e-commerce catalogues, some sort of operational data. Also, the classification accuracy drops for Classes 2,3,4 - hence I feel that additional features are required. But without any good background on the data, I am unable to even guess new features intelligently. I am currently stuck at 0.433, unable to move any forward. I have tried sum of the rows and total number of zeros/non-zeros (read on the forum) without much avail. I would greatly appreciate if someone can provide me some direction here, feeling like a chimp with a machine gun now - utterly clueless. Regards, Manas",3,bronze,7,Thu May 07 2015 11:11:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14092,/competitions/otto-group-product-classification-challenge,398th
/maineiac,Scoring system starting to seem a bit off...,"The size of the competitions coupled with the current scoring system has led some people to make it into the top 100 Kagglers after a single competition (or maybe two). For example, Arsenal is now ranked 4th after getting first in the recent TFI competition (having competed in two competitions); Cardal 15th after winning only Axa. Unfortunately, I don't have a better solution at this point in time, but the current system seems to overweight a single excellent performance over repeated good performance. Perhaps changing the weighting as a function of the size of the competition is one way to level things out a bit? Your thoughts?",5,silver,10,Thu May 07 2015 17:05:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14094,None,None
/del=520aa824df09e7b5,Other diabetic retinopathy datasets ,Just thought I would share some public diabetic retinopathy datasets and papers available over the internet. Some of these datasets have good number of images and several research groups use them to test their models and publish papers. You may be able to download 'most' of the content from the links below. DR datasets: http://messidor.crihan.fr/index-en.php http://www.isi.uu.nl/Research/Databases/ Papers: http://jbhi.embs.org/2014/08/26/dream-diabetic-retinopathy-analysis-using-machine-learning/ http://link.springer.com/chapter/10.1007%2F978-3-319-10840-7_14 http://dl.acm.org/citation.cfm?id=2383030 http://research.ijcaonline.org/volume41/number1/pxc3877503.pdf http://ipublishing.co.in/jarvol1no12010/EIJAER2051.pdf http://www.cs.ait.ac.th/~mdailey/papers/Sopharak-Exudate.pdf http://www.isip.piconepress.com/conferences/ieee_spmb/2014/papers/l01_01.pdf https://www.researchgate.net/publication/266629859_Application_of_Machine_Learning_to_Classify_Diabetic_Retinopathy https://www.aaai.org/ocs/index.php/SSS/SSS10/paper/viewFile/1186/1358 http://www.biomedcentral.com/1472-6947/13/106,17,bronze,3,Thu May 07 2015 18:04:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14095,/competitions/diabetic-retinopathy-detection,648th
/robrob,R XGBoost xgb.DMatrix roadblock,"EDIT: SORRY... MY BAD... WISH WAS WAY TO WITHDRAW POST Kaggler's, Attempting to leverage xgb.train which is looking for DMatrix object. However, I'm having the following roadblock... Any guidance would be greatly appreciated. > str(trainMatrix) num [1:61878, 1:93] 1 0 0 1 0 2 2 0 0 0 ... - attr(*, ""dimnames"")=List of 2 ..$ : NULL ..$ : chr [1:93] ""feat_1"" ""feat_2"" ""feat_3"" ""feat_4"" ...> str(yTrain) num [1:49502, 1] 5 7 2 2 1 7 4 5 1 5 ...> dim(trainMatrix)[1] 61878 93> dim(yTrain)[1] 49502 1> dtrain = xgb.DMatrix(trainMatrix, label=yTrain) Error in xgb.setinfo(dmat, names(p), p[[1]]) : The length of labels must equal to the number of rows in the input data>",0,None,5,Thu May 07 2015 18:39:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14096,/competitions/otto-group-product-classification-challenge,978th
/annavictoria,Interview(s) with top Kagglers,"We just posted [Link]:http://blog.kaggle.com/2015/05/07/profiling-top-kagglers-kazanovacurrently-2-in-the-world/with [Link]:https://www.kaggle.com/users/111640/kazanova, who is currently the #2 ranked Kaggler in the world. He shares his approach to getting started in a competition, great tools and packages, forum posts you may still want to check out, and strategies for teaming up successfully. And stay tuned... We'll be profiling the #1 ranked Kaggler, [Link]:https://www.kaggle.com/users/7756/owen, soon!",7,silver,1,Thu May 07 2015 20:39:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14097,None,None
/arsosa,Purpose of  Payment_account and Address given Bidder_id?,If Bidder_id Is 1-1 with Payment_account and Address then why are these columns necessary?,2,bronze,4,Thu May 07 2015 22:06:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14099,/competitions/facebook-recruiting-iv-human-or-bot,None
/julesvanligtenberg,Issues with LB's,In the rain competition the LB has no indication delta1w anymore (checked some other LB's and they seem to suffer from the same problem) Also I made a submission which scored higher than my previous best and moved up in rank but it said I improved my score with 0.00000000000?,1,bronze,5,Thu May 07 2015 23:08:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14101,None,None
/bitsofbits,LB of ~0.72 using Lasagne,"Lasagne is great, but getting the initial net setup can be a headache. Particularly, in my experience, for classification problems. So I've put up a simple Lasagne based NN in the scripts at https://www.kaggle.com/users/287132/tim-hochberg/predict-west-nile-virus/simple-lasagne-nn. It runs in under a minute on a GPU but takes about 4 minutes running on Kaggle. This particular net is good for leaderboard score of about ~0.72, but by throwing a bunch of other predictors in (spraying data for starters), I've managed to get a similar net up to a score of ~0.75 at the cost of some additional complexity and run time. I'm sure someone can do better. I'm not certain that this problem is best approached using NNs, but they can be fun to play with, so enjoy.",14,gold,18,Thu May 07 2015 23:12:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14102,/competitions/predict-west-nile-virus,506th
/nabilblk,How to use script_aux.r ? ,"Hi all , How to use this script ? I execute it like this : process.data(""../train.csv"") and this command give me a prompt like this : .... .. .. ..$ : chr [1:2] ""lat"" ""lon"" $ url : chr ""google"" $ size : int [1:2] 640 640 $ SCALE : num 1[1] 17[1] ""2013/07/01 00:28:01""1: Thanks in advance for your help .",0,None,4,Thu May 07 2015 23:37:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14103,/competitions/pkdd-15-predict-taxi-service-trajectory-i,242nd
/soumyasmruti,Noob Ques: How do store_nbr and station_nbr map to each other.?,I am very new to this problem. Please forgive me if I missed something. I just wanted to know how do we check which store_nbr comes under which station_nbr? It will be very helpful if someone points this out.,0,None,2,Thu May 07 2015 23:59:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14104,/competitions/walmart-recruiting-sales-in-stormy-weather,289th
/firedrake969,"How, exactly, does this work?","First off, I'm primarily a XAMPP developer - JS/PHP/Python (ish) are my strong points. Which ones (if any) may I use for the competitions? (I've also never used R before, so I hope that's not the only thing I can use) Additionally, I noticed that there are ""teams"" in a competition. How exactly does this work? I'd be interested in joining a competition, but I'm still not sure how it works - if I must be on a team, if I can invite others on my team, etc. Any information would be appreciated.",0,None,2,Fri May 08 2015 02:50:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14105,None,None
/beiwenwu,Human bidder with larger number of urls,The feature url - url where the bidder was referred from (obfuscated to protect privacy). There are some human users have very large number of unique urls: a human bidder = f5b2bbad20d1d7ded3ed960393bec0f40u6hn have 81376 unique urls. Have any idea about that?,0,None,1,Fri May 08 2015 03:03:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14106,/competitions/facebook-recruiting-iv-human-or-bot,975th
/Wishalsp3333,Test data probability is increasing??,"In sample solution the probability of the values is increasing from 0 to 69 mm to 1 , but is it correct that probability should increase in the same manner in test data too??...",0,None,5,Fri May 08 2015 07:34:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14108,/competitions/how-much-did-it-rain,None
/bluesilence,"Generally, human bidders have more countries than bot?","As sanity check, here's an analysis on the distribution of number of countries a bidder has in 1 auction, sliced by outcome. It looks like human bidders tend to have much more countries than bot bidders. Is it possible?",-2,None,1,Fri May 08 2015 10:47:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14109,/competitions/facebook-recruiting-iv-human-or-bot,704th
/fatoddsun,Invite someone to a team,"Hi everyone, I got in touch with another user through the forum of a competition and we'd like to form a team together. I created a team, gave it a name, and now I can see that the team exists and of course I am, at the moment, the only member. To invite the other user, I am supposed to know his e-mail address, but I don't, and I cannot send a private message to him because I haven't got enough points to do so. How can I invite him without having to share my e-mail or his publicly on the board? Thanks!",19,None,19,Fri May 08 2015 12:53:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14111,None,None
/dataista,Gradient Boost cpu & memory,"Hi all, I see that fitting al the TS costs about 100% cpu and 2% RAM with sklearn. The time is really long for a GB classifier with 500 trees and max depth=4. My machine is a Apple MB pro quadcore with 16GB, I would say not that bad. Have you similar figures? How long takes with your machines?",0,None,2,Fri May 08 2015 12:58:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14112,/competitions/otto-group-product-classification-challenge,659th
/jturkewitz,Weather Effect,How much of a weather/storm effect should I naively expect to see? I am finding that the weather seems to have almost no effect on the amount of items sold. Is this roughly what other people are finding?,1,bronze,3,Fri May 08 2015 13:41:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14113,/competitions/walmart-recruiting-sales-in-stormy-weather,19th
/nsp3ctor71,"Installation problems: ""Not a git repository""","So I'm following through the installation instructions found here: https://github.com/JuliaLang/IJulia.jl/blob/master/README.md and have installed Anaconda and Julia from the main site. However, when trying to run Pkg.add(""IJulia""), I get the error ""fatal: Not a git repository"". Similarly, I get the same error when trying to run Pkg.update(). Anyone have a solution?",0,None,4,Fri May 08 2015 22:03:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14118,/competitions/street-view-getting-started-with-julia,None
/diyat346890,Missing 10 Days of Data Per Month,"Am I crazy or are the 20th to 30th or 31st missing from the data set? I can work with this, but if the data is available somewhere I am not looking, please let me know.",0,None,1,Fri May 08 2015 22:19:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14119,/competitions/bike-sharing-demand,None
/kocman,e+05,"I got in submission.csv for each predicted value, which has five zeros, this ""e+05"", how can this be avoid? thanks",0,None,2,Sat May 09 2015 01:06:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14120,/competitions/forest-cover-type-prediction,1075th
/promentis,Leaderboard Analysis,"I had some time, and I wanted to practice some ggplot and RMD, so I put together some plots in the attached PDF. Source and data files are also attached. Thoughts for other visualizations welcome! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77667/2478/LBAnalysis08May.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77667/2479/LBPrivate.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77667/2480/LBPublic.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77667/2481/LBAnalysis.Rmd",7,bronze,4,Sat May 09 2015 03:10:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14121,/competitions/15-071x-the-analytics-edge-competition-spring-2015,95th
/vimalmshetty,How to improve the model?,"Hi, Have tried XGBooost, and achieved logloss less than 0.47.(thanks to forum) Now how to proceed from here? As I am new to ML, I am taking this competition as a learning tool. Please suggest some ideas. I tried feature selection, by selecting top 30. No improvement. Thanks in advance. -Vimal",0,None,16,Sat May 09 2015 06:15:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14122,/competitions/otto-group-product-classification-challenge,991st
/ayushrajsingh,Has anybody encountered the 'gof' error while importing 'theano' on windows,"I desperately want to try lasagne. I have been trying to get 'theano'.work (since 'lasagne' is dependent on 'theano'). I was able to successfully install 'theano'. But when I import 'theano', I get this error ""ImportError: cannot import name gof"". I looked up the internet to resolve this error, I tried all solutions given online but this error doesn't seem to get resolved. Has anybody else encountered it yet? Can someone please help me with this?",1,None,5,Sat May 09 2015 09:33:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14123,/competitions/otto-group-product-classification-challenge,265th
/lilisun,How to divide local train/test sets for cv?,"Hi, I find the number of training data for each class is different. Should I sample the number of data, say 1000 for train and 200 for test for each classes?",0,None,3,Sat May 09 2015 10:10:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14124,/competitions/otto-group-product-classification-challenge,845th
/asimkievich,initial cv loss in lasagne/nolearn,"hi there, I have noticed that the first epoch cv loss in lasagne no learn varies widely for the same network configuration (i.e. identical parameters). I assume that depends on the weights, which I understand are initialized randomly. Correspondingly, the cv loss in the last epoch (whichever it is) is highly correlated to the cv loss in the first epoch. this means, the lower the cv loss in the first epoch, usually the lower the cv loss (valid loss in lasagne/no learn) in the last epoch, for two runs with the same configuration and same number of epochs. Are those cv losses deceiving (due to overfitting), in your experience? that is, would those two different runs (one where the first epoch log loss is higher and one where it is lower) produce an outcome which will score roughly the same on the test set, or will the run with the lower cv loss produce an outcome which will score better on the test set? Thanks!",1,bronze,5,Sat May 09 2015 17:33:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14125,/competitions/otto-group-product-classification-challenge,87th
/asimkievich,is everyone in the top 100 using the same models?,"hi there, it appears that everyone in the top 100 (or top 500 for that matter) is ensembling xgboost with lasagne/no learn or xgboost with theano. Is making it to the top 10 or 20 a matter of better tuning / better feature engineering / better ensembling? in the interest of full disclosure, I am ensembling xgboost with lasagne/no learn too :)",0,None,14,Sat May 09 2015 17:35:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14126,/competitions/otto-group-product-classification-challenge,87th
/debanjanbanerjee,Still unable to receive the verification code.,"Hi, I am from India. I am having trouble to receive the verification code. I tried to search whether my phone is within the DNC. I found the following result. Customer Registration StatusPhone Number : XXXXXXXThe number is registered in NCPRActivation Date is : 29-09-2011 22:27Service Area : KolkataService Provider : Airtel MobileYour Preference is : 5Preference HistoryPreference Date Preference Status Service Provider31-08-2009 0 Active Airtel Mobile Can anyone please help me out here ? Take care Debanjan",0,None,2,Sat May 09 2015 17:53:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14128,/competitions/predict-west-nile-virus,1166th
/bigdatafan,why T035 have two corresponding AddressNumberAndStreet?,"I just noticed T035 have two AddressNumberAndStreet both in train set and test set. 5100 W 72ND ST, Chicago, IL; and 3000 S HOYNE AVE, Chicago, IL; As well as T009. But for T009, two address are actually the same except one is AVE and the other is RD. So I wonder if are records of T035 wrong? Thank you guys.",0,None,3,Sat May 09 2015 18:05:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14129,/competitions/predict-west-nile-virus,119th
/vsu1664,multiple accounts,"As far as I understood, Kaggle is using automatic system to detect multiple accounts (MA). This system is based on two kinds of input info: 1) IP addresses; 2) similarity between submitted solutions. Let us consider the following scenario:1) somebody published on the Kaggle forum quite good code (usual event);2) this code was discussed in details at the research seminar at one University (the same IP addresses);3) after seminar (or during seminar) a few participants (P1, P2, P3 and P4) produced and submitted solutions (according to the given code: very similar or about the same). Remark: the total number of participants at the research seminar maybe 20-30. Conclusion:4) in accordance with Kaggle detection system, those participants (P1, P2, P3 and P4) have very high chances to be disqualified from the Contest for using MAs. So, what is your opinion regarding this?",-3,None,2,Sat May 09 2015 18:46:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14131,/competitions/restaurant-revenue-prediction,None
/carloshuertas,Let's make a break from ML to thank moms,"I know this is completely off-topic here, and probably most of you already watched the video, but, still, think about it, Kaggle competitions can wait one day or two :) [Link]:https://www.youtube.com/watch?v=NDmHcTLdKGk I know mother's day has many dates but, well, no harms. Best regards to all your Directors of Operations ;)",4,bronze,2,Sat May 09 2015 23:38:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14132,None,None
/ugur47,Validation methodology,"Hello Everyone, I am having difficulties establishing a local validation methodology matching with my submissions. I am using scikit learn's roc_auc_score , however, it over estimates the submission's score greatly: Local score estimated by roc_auc_score: 0.88 Submission score : 0.51 Anyone having a similar problem? Or seeing an obvious mistake in using the roc_auc_score?",0,None,6,Sun May 10 2015 06:45:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14133,/competitions/facebook-recruiting-iv-human-or-bot,228th
/thakurrajanand,Deep Learning H2O - 0.44,Attached is the script using H2O deep learning to get ~0.44 on LB. Average of the submission generated by the attached code and xgboost (~0.44) will give ~0.42 on LB. Good Luck :) EDIT : By mistake I posted TanhWithDropout .... it need to be RectifierWithDropout [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77743/2484/H2O_Benchmark.R,12,gold,185,Sun May 10 2015 09:39:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14134,/competitions/otto-group-product-classification-challenge,38th
/vtisza,Linux Distro for Data Science,"Hi Kagglers! Can You recommend a Linux distro that I can take with me on a pendrive and contains the most important programs and packages for a data scientist? (like R, Python with the corresponding libraries and packages, etc.) I found some solution for EC2 but I just would like a portable one.",0,None,3,Sun May 10 2015 10:07:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14135,None,None
/vijaysathish,Area under ROC curve of only positive class or average of both classes,The evaluation criteria is not explicit about this: - Will the ROC metric be calculated only for positive class (ie bots) or the average of ROC scores for both classes? - Does it matter if we use one or the other (ie positive class or average) ?,0,None,2,Sun May 10 2015 20:44:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14137,/competitions/facebook-recruiting-iv-human-or-bot,314th
/aseem1,How to map spray data with train data,Latitude longitude and date are 3 parameters that need to match between spray and train datasets. Train has latitudes for traps set and spray has sprayed latitudes. They dont match exactly. How do we know if a particular trap was sprayed on a particular date.,1,bronze,2,Sun May 10 2015 22:06:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14138,/competitions/predict-west-nile-virus,918th
/skylibrary,Does anyone know how to make L1 and L2 regularization work for lasagne/nolearn?,"I have been google around, find a few threads talking about it, tried one, but not helping, does anyone know how to do this?",0,None,4,Mon May 11 2015 07:05:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14139,/competitions/otto-group-product-classification-challenge,50th
/del=220e353250f88ef9,Is anyone trying this with H2O and R ?,I was thinking to try on H2O. Just came across the awesome deep learning ease with H2O and R. I was wondering if anyone is doing it or planning to do. If so we can team up and try some cool approaches. email: rachanabagde1996@gmail.com,0,None,3,Mon May 11 2015 09:27:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14141,/competitions/facial-keypoints-detection,None
/vsu1664,recent photo of Titanic,"please, see attached image [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/77864/2485/titanic_in_sea.JPG",2,None,1,Mon May 11 2015 11:27:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14142,/competitions/titanic,None
/asterios,Possible modification to competition rules - Code sharing,"Hi everyone, After some competitions where a 'beat the benchmark' code appears a few days before the competition ends and leads to a top-10% position (latest example is [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/), I think it's time to modify the future competition rules so that people who have devoted a significant amount of time working on a competition, get what they deserve.I would vote up for something along the lines of the following: ""No optimized (in the sense of hyper-parameter optimization) code should be shared in the forums before the end of the competition (or 'in the last 3-4 weeks of the competition')."" or ""No code or hyper-parameters should be shared in the forums that result in a top 25% position in the public leaderboard in the last 3-4 weeks of the competition."" I know the above is a bit vague and should be phrased differently, but you get the main idea. I'm waiting for you thoughts!",21,gold,16,Mon May 11 2015 12:18:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14143,None,None
/aelaibi,Haversine Distance Formula,"Hi all , We found two ways of calculating the Haversine Distance , one is famous in stackoverflow and the other is the implementation of the formula found in evaluation page for this competition . Here is the code : from math import radians, cos, sin, asin, sqrt, pi, atan2 def haversine(lon1, lat1, lon2, lat2): """""" Calculate the great circle distance between two points on the earth (specified in decimal degrees) """""" # convert decimal degrees to radians lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) # haversine formula dlon = lon2 - lon1 dlat = lat2 - lat1 a = sin(dlat / 2) ** 2 + cos(lat1) * cos(lat2) * sin(dlon / 2) ** 2 c = 2 * asin(sqrt(a)) r = 6371 # Radius of earth in kilometers. Use 3956 for miles return c * r def haversineKaggle(lon1, lat1, lon2, lat2): r = 6371 lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) dlon = abs(lon2 - lon1) dlat = abs(lat2 - lat1) a = sin((pi * dlat) / 360) ** 2 + cos(lat1) * cos(lat2) * sin((pi * dlon) / 360) ** 2 c = 2 * r * atan2(sqrt(a), sqrt(1 - a)) return c print(haversine(-8.630838, 41.154489, -8.66574, 41.170671))print(haversineKaggle(-8.630838, 41.154489, -8.66574, 41.170671)) They print differents values : 3.431358068630.0598884961147 Any idea of the correct one and why the values are differents ? Thanks in Advance",0,None,4,Mon May 11 2015 13:29:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14144,/competitions/pkdd-15-predict-taxi-service-trajectory-i,242nd
/valerioorfano,valid_loss LASAGNE python,Hi how can i get the valid loss value from lasagne NN to be used to sort the different models by loss ? valerio,0,None,2,Mon May 11 2015 17:30:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14146,/competitions/otto-group-product-classification-challenge,971st
/zaborskiy,Overbidding own bids,"Hello! There are many cases when a user overbids his own bids. Does it mean these users play for seller or does it it mean some data is missing?For instance, see auction o6x75.",0,None,3,Mon May 11 2015 20:26:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14148,/competitions/facebook-recruiting-iv-human-or-bot,359th
/prune319080,Map files,"I realize this maybe off topic. And I am sorry if this is a noob question, but I am not very knowledgeable about maps. May I ask how the map files were generated? I understand that there are many map formats one can export from OSM (or other ""sister"" services), but I could not find an easy reference to text files being one of them. The RDS file is obviously some sort of serialized data. No? Many thanks",1,None,4,Mon May 11 2015 21:14:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14149,/competitions/predict-west-nile-virus,None
/sfin2015,Independent logistic regression vs multinomial logistic regression,"I first did 9 x logistic regression models (one per output class). Then I wanted to try multinomial logistic regression. However it looks like that is performed a lot worse than 9 independent logistic models. I guessing that there is convergence problem and/or Hessian matrix has too many parameters. (I am using all the features). Did anyone else try multinomial logistic regression ""successfully""?",0,None,5,Mon May 11 2015 21:47:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14150,/competitions/otto-group-product-classification-challenge,2617th
/del=0344ac6154f2b9d5,Duplicated TRIP_ID in the training set?,"It seems the TRIP_ID in the training set is not unique as it says in the description. There are 80 duplicated identifiers. For example for TRIP_ID 1372702836620000080, the rows are TRIP_ID CALL_TYPE ORIGIN_CALL ORIGIN_STAND TAXI_ID 1372702836620000080 B NaN 16 20000080 1372702836620000080 C NaN NaN 20000080 TIMESTAMP DAY_TYPE MISSING_DATA1372702836 A False 1372702836 A False POLYLINE [[-8.635275,41.193729],[-8.634519,41.192901]] [[-8.62776,41.17554],[-8.62776,41.17554],...(omitted) It looks interesting that the time-stamps are the same, the CALL_TYPE and the POLYLINE are different. Any possible explanations? Thank you.",1,bronze,2,Mon May 11 2015 22:43:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14151,/competitions/pkdd-15-predict-taxi-service-trajectory-i,None
/all16universes,Multiple Neural Nets,"I've been experimenting with combining several simple models vs. a single highly-tuned model. Someone in the forums (I believe it was tks) mentioned using a weighted average of two XGBoost models and two NN's. This encouraged me to look into combining several models of the same type. I'm interested in learning how to construct two of the same type of model, such that one captures something the other doesn't. I realize that this varies from problem to problem, model to model, and the data you're dealing with but does anyone have general advice or guidelines to share for this type of approach? For instance, say I created a neural net called net0. I'd like to create a second neural net, say, net1, that can capture something that net0 did not. How would one go about doing this? Is there a well-established approach to this besides brute force methods? I hope I am being clear. Any insight/tips/advice/comments/etc. are very much appreciated. Thanks in advance.",2,bronze,13,Tue May 12 2015 01:08:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14153,/competitions/otto-group-product-classification-challenge,285th
/abhishek,Beating the Benchmark ;) Yet Again!,"Hi All, Some of you might remember this script of mine. This gives a Public LB Score of 0.466 0.54 In case of any questions, just ask! :) Thanks all! Oh yea, the script is located here: https://www.kaggle.com/users/5309/abhishek/crowdflower-search-relevance/beating-the-benchmark EDIT: add new version. more preprocessing, feature selection, scaling and replace model EDIT-2: Add grid search for parameter selection for SVD and SVM. Optimize for quadratic weighted kappa.",36,gold,108,Tue May 12 2015 04:35:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14159,/competitions/crowdflower-search-relevance,8th
/lukeab,Hi,Hi all - I'm the CEO of CrowdFlower and a long time Kaggle fan. Please don't hesitate to reach out with any questions about the data.,23,gold,47,Tue May 12 2015 04:57:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14160,/competitions/crowdflower-search-relevance,None
/abhishek,Beating the Benchmark ;),"Hi All, I present to you a very simple Script to beat the all the current benchmarks and score 0.71+ I have commented the script so its easy to understand. In case of any questions feel free to ask. Script: http://bit.ly/BeatTheBench Thanks!",16,gold,12,Tue May 12 2015 06:19:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14161,/competitions/predict-west-nile-virus,58th
/sidhartharay,Looking for a regression analysis related Kaaggle competetion,"Hi Friends, I'm learning machine learning and looking for regression analysis related competition to practice. There should be multiple features and needed to be picked up carefully. Can someone suggest me few such problems? Regards, Sidharth",0,None,1,Tue May 12 2015 09:07:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14162,/competitions/bike-sharing-demand,None
/ksodipo,Deadline extention,"This to the Admins: I'm pretty sure this is a long-shot, but could the submission entry deadline be extended till midnight ? I missed it by a few minutes trying to solve bugs.",5,bronze,16,Tue May 12 2015 10:24:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14163,/competitions/otto-group-product-classification-challenge,None
/triskelion,Normalized Kaggle Distance,"I had some fun re-purposing the [Link]:http://en.wikipedia.org/wiki/Normalized_Google_distance into a Normalized Kaggle Distance. This script uses the datasets as a compressor to calculate a semantic word similarity. The semantic word similarities are then used to create visualizations, labeled topics and a knowledge base to answer multiple choice questions. Script here: https://www.kaggle.com/users/114978/triskelion/crowdflower-search-relevance/normalized-kaggle-distance Feedback and questions welcome!",16,gold,3,Tue May 12 2015 11:11:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14164,/competitions/crowdflower-search-relevance,167th
/shanlu,Anyone interested in KDD '15 Competition: MOOC user dropout prediction?,"Having gone through this course project on Kaggle, I think all of you have enough experience applying analytic skills to real data. What's more, all of us are MOOC users! Here is a chance: KDD 2015 Competition! https://kddcup2015.com/information-introduction.html Please free to contact me if you wanna to crack it together with me! As for me, I ranked 102nd in the private dataset in our Kaggle competition and held 13 MOOC certificates from Coursera, edX and XuetangX(which is the platform that provides data). Here is my personal website: http://baizhima.github.io/",4,bronze,5,Tue May 12 2015 12:20:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14166,/competitions/15-071x-the-analytics-edge-competition-spring-2015,102nd
/wildwizard,R/Pythons scripts feeling either too simple or too complicated,"Hello As I am trying to enter in the ML world, I played around with Weka at first, but saw that everyone around mostly use R or Python.So I took codecademy and codeschool courses, added SQL to the pack, read a few more things in python, and then came back here to see what I could do with that. When I read examples from titanic competition tutorials, I perfectly understand. On the other hand, when I read scripts in other competitions, I always feel baffled, I find myself stuck even by syntax forms used that I ve never seen and can't happen to find in references. Could someone please point me to well commented scripts, or a little more advanced python or R ressource? Because even if I happen to figure out small parts of code, finally I can't manage to understand the whole thing, so I can't even hope to start this myself. Thanks by advance",0,None,4,Tue May 12 2015 13:07:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14167,None,None
/sashkolysenko,6th place code and description,"Hi everyone, here is the link to [Link]:https://github.com/sash-ko/kaggle-malware-classification with code and brief solution description. I concentrated mostly on feature engineering and in the end, I got around 28K of them grouped into 9 feature sets: opcode ngrams, bytecode ngrams, section names from asm files and some others.",7,bronze,1,Tue May 12 2015 16:35:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14170,/competitions/malware-classification,6th
/jiweiliu,Raise the flag threshold,Currently it seems two flags can make the post disappear. like https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/12989/code-for-leaderboard-score-of-0-45612-in-3-minutes/67731#post67731 I'm worried flagging can be misused to make strong code unavailable to everyone.,2,bronze,2,Tue May 12 2015 17:51:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14171,None,None
/bobalv,Does Matlab code submission satisfy rules?,"After reading the rules several times it is not clear whether a Matlab code submission satisfies the contest rules so I am asking for a ruling by the organizers. The question occurs because the code requires a proprietary (and very expensive) environment to execute it. This may not satisfy this condition of the rules (and perhaps others): * grants to Competition Sponsor and its designees a worldwide, non-exclusive, sub-licensable, transferable, fully paid-up, royalty-free, perpetual, irrevocable right to use, not use, reproduce, distribute, create derivative works of, publicly perform, publicly display, digitally perform, make, have made, sell, offer for sale and import their winning Submission and the source code used to generate the Submission, in any media now known or hereafter developed, for any purpose whatsoever, commercial or otherwise, without further approval by or payment to Participant; and* represents that he/she/it has the unrestricted right to grant that license.",1,bronze,3,Tue May 12 2015 18:56:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14173,/competitions/diabetic-retinopathy-detection,None
/mbhatt1321,Use it for research,"Hi, I will make a deep-learning nnet in R for my undergrad thesis. Can I use this data? I will give proper acknowledgement of course. Manish",0,None,2,Tue May 12 2015 20:15:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14175,/competitions/otto-group-product-classification-challenge,None
/mbhatt1321,Research,"Hey, Can I use the data for my undergraduate thesis? Manish",0,None,1,Tue May 12 2015 20:33:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14176,/competitions/diabetic-retinopathy-detection,None
/stepbystep,Python memoryout,"Dear Kagglers, How to continue the compition when your python IDE raise an error 'memoryout'? My computer(win 32-bit, python 3) Thanks for your help!",0,None,1,Tue May 12 2015 21:41:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14177,None,None
/tcash21,How are you all gauging performance before submitting?,I'm calculating AUC via cross-validation but the scores are quite different when submitting to the leaderboard. e.g. AUC locally of .95 results in .85 in leaderboard.,0,None,19,Tue May 12 2015 22:24:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14178,/competitions/facebook-recruiting-iv-human-or-bot,341st
/davidbuchaca,Deep learning keras thoughts,"Hi kagglers! I 've been testing kera's. I have tried a lot or architectures from 2 to 4 hidden layers with dereasing number of hidden units ([1000,500,250] [1000,500] etc...). My validation scores cannot go below 0.48 using 15 % of test data. No matter activation functions I use and optimizers. Any thoughts on this? Has anyone tried keras?",0,None,2,Tue May 12 2015 23:00:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14179,/competitions/otto-group-product-classification-challenge,None
/arnocandel,Kaggle master class by Mark Landry (currently #2) next week,"For those in the SF Bay Area, please consider joining our Meetup to discuss this Kaggle challenge in person with one of the leading data scientists, Mark Landry, of TeamH2O. He's been sitting at the very top for most of this challenge! http://www.meetup.com/Silicon-Valley-Big-Data-Science/events/222303884/ For those far away, it will be live streamed as well. Thanks - Arno",0,None,2,Wed May 13 2015 01:00:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14180,/competitions/how-much-did-it-rain,5th
/jasonnoriega,Tableau Dashboard,Check out this Tableau Public dashboard I created to visualize and interact with the data. [Link]:https://public.tableau.com/profile/jaysha101#!/vizhome/WestNileinChicago/WestNileDashboard Anyone else using Tableau to visualize?,34,gold,13,Wed May 13 2015 02:09:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14183,/competitions/predict-west-nile-virus,291st
/keithtrnka,Does Chicago precip really vary this much?,"https://www.kaggle.com/users/40371/keith-trnka/predict-west-nile-virus/annual-precip-by-station In 2007, 2009, 2012, 2013 the total annual precipitation for the two stations is within 2 inches. But in 2008 station 1 got 8"" more, 2010 station 2 got 5"" more, 2011 station 1 got 11 inches more, 2014 station 2 got 4"" more. Both stations have 184 entries per year so that's not the culprit. I don't know the area; is it plausible that rainfall differs this much between O'Hare and Midway airports? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/78146/2492/precip.png",0,None,4,Wed May 13 2015 02:21:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14184,/competitions/predict-west-nile-virus,503rd
/thakurrajanand,Beat the Benchmark using Benchmarks,"Use Abhishek Benchmark , Keras Benchmark and GAM. Submit a combination of them and get 0.736",6,silver,15,Wed May 13 2015 07:15:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14185,/competitions/predict-west-nile-virus,22nd
/xinusx,What is hot day,"Hot day can be a relative term, as for someone it could be 27 degree celsius, for another 32 degree celsius could be a hot day etc. For the sake of this problem do we have any number above which we could term the day as hot day? I can see there is variable ""Heat"" in weather.csv, is it something which could be used to identify a hot day?",0,None,1,Wed May 13 2015 07:45:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14186,/competitions/predict-west-nile-virus,1008th
/elenacuoco,Someone used all the variables?,"I know it is late for this competition, but I wonder if someone used all the variable contained in the data (not only RR1) and if he/she found a fast way to prepare the data with multiple values not comma separated. I did it in python for all the features, using pandas, but with a very slow procedure. I prepared the data once for all, substituting the multiple value with the mean, and tried to use the transformed for a regression problem, but the results are discouraging.",0,None,8,Wed May 13 2015 09:36:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14187,/competitions/how-much-did-it-rain,137th
/del=e95d9fee779ad3ec,The tuning parameter grid: error,"[Link]:https://www.kaggle.com/users/54720/rudi-kruger/otto-group-product-classification-challenge/rf-gbm When i try to build ""gbm"" on the predictions from random forest, i am getting the below error, ""Error in train.default(x = train2Preds, y = target2, method = ""gbm"", trControl = fc, : The tuning parameter grid should have columns n.trees, interaction.depth, shrinkage, n.minobsinnode"" Ensured, the values are available GBM_IDEPTH = 4GBM_SHRINKAGE = 0.1GBM_TREES = 50 Please help to resolve the error.",0,None,4,Wed May 13 2015 10:12:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14188,/competitions/otto-group-product-classification-challenge,636th
/anuraag2,new to machine learning,I'am new to machine learning and about to complete Andrew NG's course on coursera. I would really like to know how to proceed ahead once I'm done with it. I'am a computer science student and have a good idea of languages like C and Java. Though I don't know python or R. I would really appreciate if someone could tell me what I should do next,0,None,1,Wed May 13 2015 11:25:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14189,None,None
/oconnoda,Rules Question,"Although not part of the data sets, the coordinates of the weather stations are given on the web site. I presume we can use these in our models? Are we allowed to add coordinates of other landmarks to our model?",0,None,3,Wed May 13 2015 14:53:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14191,/competitions/predict-west-nile-virus,24th
/wcukierski,Improved Kaggle Rankings,"We have just pushed a change to the way Kaggle calculates [Link]:https://www.kaggle.com/users. Details are in this blog post: http://blog.kaggle.com/2015/05/13/improved-kaggle-rankings/ May the road rise up to meet you.May the wind always be at your back.May your ranking shine warm upon your face,And your submissions lead the pack.",29,gold,142,Wed May 13 2015 17:16:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14196,None,None
/domcastro,Not sure I understand what you are looking for,"I've assumed that the padding of the test data is for 2 reasons: 1. Manual tuning 2. The organisers want a model based on weather data only. However, the fake data totally ruins any time-series analysis, neighbourhood analysis and cluster analysis. You can't base a prediction on anything that's gone before because the test data is fake. The worst thing is I get a better score on the leaderboard chucking out all weather data and using fake record counts instead! Also, once an epidemic has started, weather is irrelevant - so if you can't use time series, clustering, neighbourhood analysis or the weather then what data is left? EDIT: and because of the duplicate records with opposite classes, you can't even work out the probability there's wnv present. If there's 40 duplicated rows with 2 predicted cases the prob = 2/40 but as 10 of those records could be fake, the real probability of the data appearing for that species in that trap is 2/30",14,gold,27,Wed May 13 2015 18:08:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14199,/competitions/predict-west-nile-virus,8th
/yaranaika,I need help,"Hello! For starters, I'm not here to compete for the vacant job in Facebook. I'm a computer science student. In fact, my teacher passed this competition as a evaluation to deliver. I would like to know how to start or tips of how to do. Grateful in advance for all the help and good luck in the competition.",-4,None,1,Wed May 13 2015 18:50:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14200,/competitions/facebook-recruiting-iv-human-or-bot,None
/realdeo,Should we let the the data as it is?,"Hi. I was 'ransacking the data'. As we know, the product description is messy. Full of html tags, tabs and new line. However, I find that cleaning the data made my submission worse. Using same technique (the Python beat the benchmark), not cleaned and cleaned data is 0.514 v 0.153. I know it's small difference, but we know small difference is big in Kaggle. So I want to know if anyone concur with me? Thanks.",0,None,12,Wed May 13 2015 19:20:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14201,/competitions/crowdflower-search-relevance,839th
/iglovikov,What previous competitions are similar to this one?,"Hello everyone, I have some problems with this competition and this just means that I am missing some simple ideas. Many of you are participating in different Kaggle competitions for a while and I would love to know what previous competitions were similar to this one in some sense? May be looking at them will give me some useful hints.Thank you.",0,None,1,Wed May 13 2015 19:27:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14202,/competitions/walmart-recruiting-sales-in-stormy-weather,15th
/mikeburr,Wordnet,"Hi All, Per the rules: External data, such as dictionaries, thesaurus, language corpuses, are allowed. However, they must not be directly related to this specific dataset. The source of your external data must be posted to the forum to ensure fairness for all the participants in the community. I'm on the fence about trying this competition; if I do, I'll probably try using WordNet: http://wordnet.princeton.edu/",3,bronze,3,Wed May 13 2015 19:30:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14203,/competitions/crowdflower-search-relevance,None
/luckylwk,Evaluation Metric: Quadratic Weighted Kappa,For those who started looking for the evaluation metric... I found a Python implementation in this [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/forums/t/12702/local-evaluation-method/65612#post65612 and on github: [Link]:https://github.com/benhamner/Metrics/blob/master/Python/ml_metrics/quadratic_weighted_kappa.py,10,silver,3,Wed May 13 2015 21:34:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14204,/competitions/crowdflower-search-relevance,None
/aharasim,CalibratedClassifierCV for Random Forest,"What is the correct way to use CalibratedClassifierCV from sklearn? @George reported that calibration is able to improve RF (https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/13799/what-models-may-give-score-under-0-5) but so far it's given me worse results. Without calibration for Random Forest I can achieve 0.51146 on LB with similar results locally with stratified CV. With calibration I have 0.55053-0.73659 on LB (depends from configuration). Also with small number of trees (~30) local CV is stable, but increasing this number causing very bad results for some folds (which are exactly the same for all tests with or without calibration). Here are the results for 200 trees: CV: [0.73558526316291828, 0.74432026758686309, 0.46935815074041787, 0.45678856498532261, 0.47369515572812704] Mean log loss: 0.575949480441 For local CV I use such approach: skf = StratifiedKFold(y, n_folds=5, random_state=23) for train_index, test_index in skf: calibrated_classifier = CalibratedClassifierCV(RandomForestObj, method='isotonic', cv=get_cv(y[train_index])) fitted_classifier = calibrated_classifier.fit(x[train_index, :], y[train_index]) get_cv() returns result of StratifiedKFold. So it costs a lot because 5-fold CV and another 5 folds for calibration require 25 iterations.",1,None,9,Wed May 13 2015 21:43:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14205,/competitions/otto-group-product-classification-challenge,66th
/daretoshare,Feature interactions in python ,"Hi guys, I'm trying to create new features as interactions between the features in python using polynomial features but only restricted to interactions. This led to a memory error. I'm curious if anyone had the and issue or I'm doing something wrong with my 8 gigs of ram",0,None,2,Wed May 13 2015 22:05:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14206,/competitions/otto-group-product-classification-challenge,1383rd
/rsarac,Help With Structure of Competition,"I'm not sure I understand the structure of the data for this competition. For what it's worth, I'm new to Kaggle and relatively new to predictive analytics in general. I'm entering competitions to expand my skill set and ability to frame and solve these sorts of problems. From what I can tell, the train test set has *complete* rides defined by POLYLINE -- aside from those that have missing data -- while the test set has only partial / initial ride data defined by POLYLINE? Our goal is to predict the trip times for the test data based on the provided *partial* POLYLINE? Forgive me if I'm missing something. I did explore all of the competition pages, but I'm still unclear on what I'm dealing with where train versus test is concerned.",1,bronze,9,Thu May 14 2015 00:19:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14208,/competitions/pkdd-15-taxi-trip-time-prediction-ii,None
/rsarac,Clarify Date,"Just to be sure, TIMESTAMP is seconds since January 1, 1970? That's what it looks like based on my conversion, but it never hurts to verify! :)",0,None,2,Thu May 14 2015 00:43:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14209,/competitions/pkdd-15-taxi-trip-time-prediction-ii,None
/onemillionmonkeys,One Million Monkeys approach,"Here's a brief description of what I did. I'm simplifying quite a bit and omitting a number of details in order to focus on the big picture. First, an overview of the sequence of steps in processing a single line: 1) Guess which position the missing word is at. 2) Generate candidate word insertions for the hypothesized position. 3) Guess what word (from the candidates) should be inserted at the missing position. 4) Compute a confidence score, C1, for the insertion of the hypothesized word at the hypothesized position. 5) If C1 is high enough, output a line with the hypothesized word inserted at the hypothesized position. 6) Compute a confidence score, C2, for the hypothesized position. 7) If C2 is high enough, output a line with a space inserted at the hypothesized position. 8) Otherwise just output the input line with no changes. For the two major tasks (guessing the position and guessing the word), I used relatively unsophisticated n-gram models. In particular, I used a rather naive additive smoothing approach for estimating n-gram probabilities. For example, for bigrams: P(w2|w1) = (C(w1,w2) + d) / ( d * |V| + C(w1)) (|V| is the size of the bigram vocabulary, C(w1, w2) and C(w1) are the raw bigram/unigram counts in the training corpus.) In other words, I add a count of d to every n-gram where d is a parameter tuned empirically on a held-out data set. I used n-grams of length up to 6. When I calculate the probability of a given n-gram, I used only values of n such that the n-gram count was > 0. To combine the n-gram estimates for different values of n, I employed a logistic regression model. I also incorporated a part-of-speech model into the missing position calculation using the Stanford POS tagger. This was just an n-gram model of the sort described above with part-of-speech tags rather than words as the constituents. Guessing the missing word is done with the same sort of n-gram model as just described. For the imputation task, choosing whether to guess a word has some subtleties. Notice that if you insert the wrong word at the right position, you may not suffer any increased edit distance. For example: Input: the bit the man True sentence: the dog bit the man Guessed sentence: the cat bit the man Note that although we have guessed the wrong we do not suffer any edit distance penalty (as compared to not guessing a word). This leads us to some conclusions that impact the design of confidence scores: 1) Guessing a word should be done more conservatively if you are not confident you are inserting at the right position. 2) Guessing long words should be done more conservatively than guessing short words. I used a linear regression model to predict the edit distance gain (or loss) from an insertion based on certain features. These features include things like the gap between the n-gram language model score for the top candidate and the next candidate. Likewise the gap between the position model scores for the top position and the next best position. I trained a separate regression model for different word lengths of inserted words to account for the second remark above; i.e., that we want to guess more or less aggressively depending on the length of the inserted word. There's a similar regression model that gives us a confidence score for positions. This one is a logistic regression model because we are simply trying to predict a binary value (have we guessed the right position or not?). All n-gram models were built with lower-cased text. When outputting an inserted word, we used the most common capitalization for that word (e.g., usa->USA, john->John, and->and).",5,bronze,7,Thu May 14 2015 02:21:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14210,/competitions/billion-word-imputation,1st
/vijaysathish,Some Humans wrongly classified as Bots in training set?,"As some people have pointed out in other threads, there seem to be some bidders with non-human like characteristics that have still been classified as humans. If that's the case, it maybe a good idea to either correct the labels or disregard these anamolies for training the model? But, how can we be sure that we won't have mis-classified observations in the test set as well? In other words, if the ground truth is on shaky ground, isn't the judging criteria itself flawed? Can the admins vouch for the fact that all labels have been correctly assigned in both the training and test data?",6,bronze,1,Thu May 14 2015 04:05:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14212,/competitions/facebook-recruiting-iv-human-or-bot,314th
/oops02,Will the six-month-frozen rule applied to this recuiting ?,"I mean , if I went for a interview in the past month and failed, will this challenge give me another chance?",4,bronze,1,Thu May 14 2015 07:42:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14213,/competitions/facebook-recruiting-iv-human-or-bot,None
/yanirseroussi,Kaggle's learning to rank problem,"The recent changes to Kaggle's ranking formula don't address one key issue: It is still designed to benefit Kaggle rather than serve as a true indication of skill. People who compete more often and more recently end up ranking higher than others. This drives people who care about the overall ranking to compete more, thereby improving Kaggle's engagement measures. A more data-driven approach would be to pose this as a learning to rank problem. Given all the past data on user performance, the best ranking should be predictive of performance in future competitions. That is, if user A ranks above user B in the overall ranking, then user A should be more likely to rank higher than B in a competition where both A & B compete. It'd be pretty awesome if Kaggle ate its own dogfood and set up a knowledge competition to find the best ranking approach in terms of predictive power, making all the raw competition data conveniently available for training/testing. My guess is that both the old formula and new formula would be outperformed by a truly data-driven approach.",2,bronze,12,Thu May 14 2015 19:59:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14221,None,None
/carloshuertas,Sharing your West Nile virus insights,"Did anyone else got an email today with that topic? I just did, from Kaggle, just wondering if it is automated or not.",0,None,3,Thu May 14 2015 20:03:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14222,/competitions/predict-west-nile-virus,77th
/wp3891,I got a big difference between score on validation set and that of test set in bike sharing competition.,"I have trained a gbm model to predict the bike sharing demand. I take the data before 13th day each month as the train set , and the data after 13th day each moth as the validation set. On the validation set , the RMSLE is 0.30, but the RMSLE on the test set is sadly 0.45. I con't figure out why. Any suggestions? Thanks in advance!!",0,None,1,Fri May 15 2015 06:12:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14228,/competitions/bike-sharing-demand,90th
/teamstatz,Strange behavior of the public LB scores,"I have been spending some time pondering over some strange inconsistencies of the scores we got from the LB validation set. For one thing, our scores sometime jump substantially (say 7-8 folds) when our entries only differed slightly (say less than 1%). As a way to make sense of the validation results, in preparation of making selection of the final two entries, I just submitted an experimental entry and received a score 1.0000. Each row of this entry has non-decreasing values between 0 and 1 and at most 12 values different from 1. How is it mathematically possible to have a 1.0000 score? The loss function defined on the evaluation page is the mean of element-wise squared difference between the entry and the truth. With most gauges have 0 rain, 85% of the rows in the truth matrix should be all 1's. In the worst case scenarios of having 12 zeros followed by 58 one's, the loss should be 12/70 per row at most. The average should be much less. Am I misunderstanding something about the loss function? My biggest worry is that my CSV files have some weird issues.",0,None,3,Fri May 15 2015 08:45:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14229,/competitions/how-much-did-it-rain,159th
/junlim,A basic R question,"Hi, I picked this challenge for my first kaggle challenge. I am new to R language as well. I am looking and playing around the evaluation r script. After I import the sample submission csv, dt<-read.csv('sampleSubmission.csv') I can see the first entry: > dt[1,] TRIP_ID LATITUDE LONGITUDE1 T1 41.1465 -8.61131 and the latitude in the entry: > dt[1,2][1] 41.1465 But the test case label gives somehow bizarre output: > dt[1,1][1] T1320 Levels: T1 T10 T100 T101 T102 T103 T104 T107 T109 T11 T110 T111 ... T99 where I expected T1. Can someone please give me some hint? Thank you!",0,None,2,Fri May 15 2015 09:31:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14230,/competitions/pkdd-15-predict-taxi-service-trajectory-i,25th
/daretoshare,Final results!,"Hi Admin, I am wondering when is the final result is expected for this. I am getting anxious by the day!",2,bronze,6,Fri May 15 2015 09:43:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14231,/competitions/forest-cover-type-prediction,1153rd
/lijunjie,Minimal time unit 52631578.95?,"I calculated the duration of each auction(the time from first bid to last bid in an auction), and I found that many of them are multiples of 52631578.95. Can we consider this minimal unit as SECOND? Here are some durations, divided by 52631578.95: 10.0000000136.9999999839.000000024046.00000001115526275144274314055071392406132415710104671033195259063259064259067259069259126259130259135259138259139258111256146251396199488194661184255",2,bronze,4,Fri May 15 2015 15:00:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14232,/competitions/facebook-recruiting-iv-human-or-bot,77th
/elenacuoco,Why?,"I've been away from the forum and from this competition for a few days and I saw with astonishment that I have fallen by almost 150 positions in the leaderboard in less than one week, with jumps in ranking for other users of the 1700, 900 positions ...and I thought ...again? (also in the Bowl competition it happened the same thing)Someone has made a code sharing last week? So I wonder why - Why some people feel the urge to post a potential top 10% code just a week before the end of the competition?- Why some people feel satisfied in getting upt in the top 10% LB just by copying the solution of other kagglers during last week competition , bypassing whom tried to find their solution, even reading the discussions on the forum, or by looking at the past competitions.- Why Kaggle administrators did still not find a solution to prevent this disruption of the rankings during last week. Frankly, if all competitions become so, I lose all interest in participating and perhaps many others like me.The exchange of knowledge let everyone grow, experienced or not, but this is a different thing from helping people in growing.",33,gold,223,Fri May 15 2015 19:24:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14233,/competitions/otto-group-product-classification-challenge,289th
/jiweiliu,Possible private lb leak,"https://www.kaggle.com/forums/f/15/kaggle-forum/t/14196/improved-kaggle-rankings/78517#post78517 This is a rumor, not confirmed, but everyone should be aware of this. Edit: confirmed. Edit: I would appreciate it if someone could share what he or she saw.. I only saw my personal result tab otto: 20 (then), 24 (now)",3,bronze,3,Fri May 15 2015 20:01:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14234,/competitions/otto-group-product-classification-challenge,25th
/chris460,Closed to new entrants,"Hello, this is my first time attempting one of the competitions. What is the time line when entry is prohibited? For example, 5 days prior to ending, etc? I finished a model with very good results from the training case but I cannot submit (my first) classification challenge. thank you, Chris",0,None,1,Fri May 15 2015 23:17:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14236,/competitions/otto-group-product-classification-challenge,None
/wenchenli,stuck around .45 using xgboost ,"Did search with the hyper-params, but always stuck around .45, any ideas how to improve that? thanks!",0,None,1,Fri May 15 2015 23:18:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14237,/competitions/otto-group-product-classification-challenge,739th
/ask788,How to handle factors with a lot of levels ,"Hi, I'm trying to run a simple base random forest but I'm struggling since codesum and item_nbr feature have a lot of factor levels. I get the following error: ""Can not handle categorical predictors with more than 53 categories"" How can I overcome this problem. Is there a way around this?",0,None,1,Sat May 16 2015 00:28:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14240,/competitions/walmart-recruiting-sales-in-stormy-weather,220th
/jiweiliu,Congratulations!!,"@phalaris @No rain no gain.! @here comes the rain again.... Great job! :D in Chinese mythology, the one who can predict the rain is known as the messenger who can talk to ""the ruler of the ocean, the dragon king"" !",12,silver,27,Sat May 16 2015 03:21:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14242,/competitions/how-much-did-it-rain,235th
/jialunhe,team me up,"Looking for a team with experienced kaggler who has finished some competitions before. I don't have experience in recommend system but would like to learn. My strength is in signal processing and algorithm development. I am good at python and willing to learn R as well. I am interested in joining teams in other competitions too. If you are interested, please drop me a line.",0,None,2,Sat May 16 2015 03:25:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14243,/competitions/crowdflower-search-relevance,682nd
/lakshmanok,How would you improve this competition?,"Thanks to all of you for participating, and thanks to phalaris and mlandry for explaining what you did. I hope the other leaders also post what they did. As a reminder, this competition is sponsored by the American Meteorological Society, and we hope that high-finishers will attend the conference in New Orleans (or at least create a 12-minute video that explains your work). Contact me if you are interested in presenting at the conference. Based on the forum posts, the most obvious way that we could have done better in creating the dataset was to simplify it. In particular, it appears no one took advantage of multi-radar views of the same point. So, we could have simply separated out the radars and treated them independently. This would probably have made the data format much more manageable. It also appears that while the CRPS is a valid, common, meteorological measure of probabilistic forecasts, using it in this competition caused a lot of angst. No one seems to have modeled rain gauge variability (which was our hope). Using something like RMSE or MAE would have focused the problem on predicting rainfall amounts. Do you have other suggestions on how we could improve this competition?",8,silver,9,Sat May 16 2015 06:56:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14245,/competitions/how-much-did-it-rain,None
/mlandry,Kaggle Script for Viewing the Data Cleanly,"Hi all, Kaggle Scripts was implemented in this competition recently, so I figured I would share a utility script I used to look at the data and try to figure out how to create features. Maybe the idea comes in handy for somebody in the future, particularly if a potential phase 2 happens with similar data. https://www.kaggle.com/users/48625/mlandry/how-much-did-it-rain/clean-display-of-individual-records The idea is to fit a single record in one view so you can easily compare records. I found this helpful for looking at dense records with no rain and getting a feel for how to process the various distances. Mark",4,bronze,2,Sat May 16 2015 09:15:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14246,/competitions/how-much-did-it-rain,5th
/dataista,sklearn Vs R Vs other,"Are top 20 using R, python scikit learn or which other tools?",0,None,2,Sat May 16 2015 14:24:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14247,/competitions/otto-group-product-classification-challenge,659th
/giuseppeprisco,Help,"Sorry I'm a newbie. Could anyone help me and answer some questions? 1)For the submissions Have I to use the Excel sheets stored in Tests? 2)To use the Kappa Quadratic I need at least two values. One is my rating, the others???? Where I can find these?? 3)Why I can find in the submission samples only 3 as prediction value? 4)How many id I have to rate for every submission? Ten, Twenty, as I want, or the thousands I need to finish the mission? 5) To calculate the Kappa Quad , Are there some methods or tools, maybe with Microsoft Excel?",0,None,2,Sat May 16 2015 15:15:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14248,/competitions/crowdflower-search-relevance,914th
/datamagic,xgboost test error w/ watchlist,"PLEASE DISREGARD. It was an ""undocumented feature"" in my logloss function. Alright alright it was a BUG lol Hi all - When you run xgboost with a watchlist (i.e. with restart enabled) it prints out the test logloss. Is it possible to access this value after the run? Currently I am running a separate predict command against the test xgb.DMatrix and it is giving me a logloss that is much lower than reality, but the test logloss being printed by xgb.train seems reasonable. Best, Gary",0,None,1,Sat May 16 2015 17:29:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14249,/competitions/otto-group-product-classification-challenge,233rd
/fyears,any hints to get svc under 0.48?,"Hi, all. Here is the last minute call for help. I notice that someone posted the results of getting svc ~0.47. However, no matter how hard I try, I just get svc ~0.56 (local validation). Very uncompetitive! I am using sklearn. I have tried: scaling data to mean 0 sd 1, scaling data by sqrt(data + 3/8), pca decomposition, rgb kernel and linear kernel, some different C and gamma by using GridSearchCV, and CalibratedClassifierCV (by using which I easily get 0.475 in rf, but NO help in svc). Am I doing something completely wrong? Any one would like to provide some hints or helps or ways? Thank you so much.",2,bronze,7,Sat May 16 2015 20:51:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14251,/competitions/otto-group-product-classification-challenge,128th
/bekbolatov,Are you getting 660 for average time in the training set?,It mentions that 660s is the average time.,0,None,9,Sat May 16 2015 22:17:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14252,/competitions/pkdd-15-taxi-trip-time-prediction-ii,192nd
/hitchpy,CV and Leaderboard score,"Hello guys, I am still fairly new to new machine learning but I do believe Bluefool raised a legitimate question in the post [Link]:https://www.kaggle.com/c/predict-west-nile-virus/forums/t/14199/not-sure-i-understand-what-you-are-looking-for Now I have this situation: I have features that are purely weather data based. And I have two algorithms A and B, I split the training into 4 years and do four fold CV, trained on 3 years then predict the remaining years data. In my CV result, A consistently has higher AUC than B, more than 0.01 difference. But uploading to Kaggle, I have A performed much worse than B. I am wondering why this could be the case. Does this mean that the pattern I learned in the training data can not generalized well into the testing dataset? Thanks for any replies.",0,None,53,Sun May 17 2015 00:28:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14253,/competitions/predict-west-nile-virus,176th
/aguschin,How long your model is training?,"Hi everyone! I'm curious to know training time distribution among the competitors. What I'm trying to understand is this: is my model takes too long time to train and can the similar results be achieved with less time & resources. I suppose that small training times often means that your model is simple enough, and the fact that such models exist would make people not to average several hundreds of NN, but to think and search for better and more ""clever"" solutions. I suggest posting your score & training time here. Starting with me, I've got 0.386 with ~3 hours on 16 cores.",10,silver,4,Sun May 17 2015 07:28:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14254,/competitions/otto-group-product-classification-challenge,2nd
/skiyuki,True test targets,"Dear Competition Admin, The Otto data sets and comments at the forum are very nice to me, a novice engineer who want to try several methods posted at the forum after the competition.Would competition admin open true test targets and scoring codes? Thanks,",0,bronze,2,Sun May 17 2015 08:21:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14256,/competitions/otto-group-product-classification-challenge,1224th
/rosacaponnetto,File extension,I'm not able to open train and test files. What can I do? Wich program can I use?,2,bronze,7,Sun May 17 2015 09:00:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14257,/competitions/diabetic-retinopathy-detection,528th
/betterplace,xgboost: not same result,"hello, i observed that if i run two times xgboost, i didn't get the same logloss in each iteration . difference is around 0.0001. as the seed didn't change, do you know why this happens? Thanks :) update: run at google cloud platform, has difference :( run at laptop, no difference ;)",0,None,8,Sun May 17 2015 13:21:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14259,/competitions/otto-group-product-classification-challenge,137th
/darraghdog,Python on EC2 - any tutorials/examples ?,"I am struggling to get python up on EC2, am wondering if there is any tutorial that takes a person with poor linux scripting skills through it. for Rstudio there is a great tutotial here : [Link]:https://youtu.be/NQu3ugUkYTk where I got up on R in short time. I have boto installed, and using that, I can connect to an instance from my local Anaconda IDE, even create and remove an instance. However I am struggling to run scripts on an instance, load data, or get an output locally. If there are any good advice or even example scripts I would be grateful. Ideally if it has and IDE and some of the numerical packages preinstalled - like sklearn, numpy etc.; although if I get an initial set up, I think I can save a mirror.",0,None,1,Sun May 17 2015 15:26:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14262,None,None
/bholmer,How to partition training data for model building followed by blending,"I'm pretty sure I'm having problems with over-fitting when I try to blend models that were created using all of the training data (although a simple average works great - but I want to do better). Note that I created these models by tuning the model parameters using a hold-out from the training data, but then produced the final model using all of the training data. There are research papers on blending and they split the training data into at least 3 parts (t1, t2, t3) - t1 for training the models to be blended (t2 or t3 for validation?) and t2 to optimize the blending (t3 for validation). But it would seem like using less than all the training data for the models in the ensemble will make their performance suffer. Is using less than all of the training data for model building the price to pay for doing blending?",3,bronze,3,Sun May 17 2015 19:38:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14264,/competitions/otto-group-product-classification-challenge,595th
/richardepstein,Last Day!,"To all, Best of luck to everybody on this last day of the competition. This competition was a great opportunity for me to learn cloud computing (32 cores rocks!), and the data libraries in R and Python. Thank you to all those who posted and for those developing the libraries. I look forward to seeing everybody on the Forums on the other competitions. The KDD Cup is also running, for those looking for additional competitions. -quadcore",9,silver,37,Mon May 18 2015 02:05:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14266,/competitions/otto-group-product-classification-challenge,139th
/del=b17551859f83bdc0,An (un)solvable existential crisis,"Yeap, I've made up this title just to get your attention (and after all I hope I won't get banned for this kind of things) An introductory-about-myself sentence: I study theoretical physics (finishing my master degree next year) and I find data science sort of intriguing (mainly because it requires thinking, I hope) Two weeks ago I didn't knew that data science existed (shame on me) and now I'm finishing a couple of introductory courses on Coursera (about basic R and so on). And here comes the main problem: I saw some manuals ( [Link]:http://datasciencemasters.org/), but, you know, I'm sick and tired of ""read a dozen of 400-p. textbooks and maybe you will get lucky"". Maybe I just haven't seen the right manual because of my partial blindness, but I really hope that some enormously kind-hearted person that knows all the stuff will give me a piece of advice! Actually, I want to Make a final decision: learn R (I'm actually doing this now) or Python (I have a bit of experience) or even Matlab (also some experience). Or everything? Where should I start solving real problems? I want to begin as fast as possible. Math is not a problem, everything from statistics I'll learn fast. Mainly, I want to begin data analysis, but I don't know where to start. I would appreciate every answer, link, video, guide, book (...) that I'll get here. Thanks in advance!",0,None,9,Mon May 18 2015 03:01:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14267,None,None
/jiweiliu,Talks given by kagglers,"I stumbled upon this great talk given by Owen, https://www.youtube.com/watch?v=spYNo8TU0fs @Owen, thank you! It will be great if we could share the video talks we find from other kagglers or data scientists. Edit: I'll summarize the links in this thread [Link]:https://www.kaggle.com/users/7756/owen, [Link]:https://www.youtube.com/watch?v=spYNo8TU0fs [Link]:https://www.kaggle.com/users/59561/inversion, [Link]:https://www.youtube.com/watch?v=ZEE3dlo7ov0&feature=youtu.be&t=1268 [Link]:https://www.kaggle.com/users/7947/nick-kridler, [Link]:https://www.youtube.com/watch?v=bL4b1sGnILU me, [Link]:https://www.youtube.com/watch?v=VLQTRlLGz5Y",13,silver,8,Mon May 18 2015 03:11:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14268,None,None
/gauravpuri,Bay area team ,Hey Looking to form a team of 2-5 people in bay area so that we can meet 1-2 times a week and discuss Kaggle projects. Please e-mail me if interested. Thanks Gaurav,0,None,1,Mon May 18 2015 06:47:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14271,/competitions/bike-sharing-demand,2489th
/abhishek,why so much time?,"Why does it take so much time these days to finalize leaderboard, enable private scores of all submissions and awarding of points? Cheater removal takes some time for LB and points but private scores should be available as soon as competition ends, right?",0,None,3,Mon May 18 2015 08:37:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14272,/competitions/how-much-did-it-rain,3rd
/fantasticfox,"What is the definition of ""inverted""?","Is it flipped horizontally (about a vertical axis), or rotated 180o? i.e. is it ""R"" --> ""Я"" , or is it ""R"" --> ""ᴚ"" ?",0,None,2,Mon May 18 2015 08:51:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14273,/competitions/diabetic-retinopathy-detection,None
/noelevans,Fit on full data set?,"I'm using R and trying to build a model using the vanilla options of a decision tree, randomForest and SVM. I'm trying to train a model on a dataframe that joins train.csv and weather.csv. I manage to fit the dataset to make a decision tree but get massive performance problems for the other two approaches. For randomForest I get an error saying Cannot allocate memory - 17Gb required and for SVM the process dies after > 4 hours - looking at top the process has had 100% cpu and nearly all the main (4Gb) and swap memory for the whole time). I assume that people are using more advanced techniques than Decision Trees. How do you manage to fit a model on such a large data set? Are you using all the predictors or analysing the principle components first? (I can see ""cool"" has a single value so have taken that out already)",1,None,5,Mon May 18 2015 11:32:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14275,/competitions/walmart-recruiting-sales-in-stormy-weather,327th
/dodata,Testing before submission,"I've just been mucking about with the benchmark, @Abhishek's code and my own [Link]:https://www.kaggle.com/users/96251/uurdcbq/crowdflower-search-relevance/benchmark-naive-bayes and I'm having trouble quantifying the submissions score (before submission)! For example, I split the training data into two (so I can verify the classifiers score on data I have the answer for) with something like from sklearn.cross_validation import train_test_split train, test = train_test_split(train, train_size=0.8, random_state=1234) I then run the benchmarks and my code, and I get a comparable f1 score, maybe 0.431976 for @Abhishek's code and 0.441063 for mine - however, on submission my code fairs significantly worse! Has anyone found a good way to test before submitting that they'd care to share?",0,None,4,Mon May 18 2015 15:02:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14276,/competitions/crowdflower-search-relevance,862nd
/aguschin,Increase number of submissions in the last day of competition,"Hi everyone! I'd propose to increase number of submissions in the last day. As it often happens to me, best ideas come in the last few days. And still I keep delaying everything till the last moment :) And I'm sure I'm not the most laziest/busiest kaggler. Therefore, I think it would be very convenient. What do competitors & admins think about this?",1,None,2,Mon May 18 2015 19:15:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14279,None,None
/benhamner,Julia Environment For Kaggle Scripts,"I've enabled Julia as a new language on Kaggle Scripts! Julia code runs in [Link]:https://registry.hub.docker.com/u/kaggle/julia/, which is defined in this [Link]:https://github.com/Kaggle/docker-julia. One goodie in it is Gadfly (a Julia plotting library based on the grammar of graphics) precompiled into the system image, so [Link]:https://twitter.com/benhamner/status/598383549260111873. Submit a pull request to the Github repo or let me know in this thread if you'd like a package added to our Julia environment. Here's a couple examples using Julia: [Link]:https://www.kaggle.com/users/993/ben-hamner/random-acts-of-pizza/simple-julia-benchmark [Link]:https://www.kaggle.com/users/993/ben-hamner/predict-west-nile-virus/mosquito-counts-by-year-using-gadfly [Link]:https://www.kaggle.com/users/993/ben-hamner/predict-west-nile-virus/mosquito-counts-by-year-using-gadfly [Link]:https://www.kaggle.com/users/993/ben-hamner/random-acts-of-pizza/exploratory-plots-with-julia-and-gadfly [Link]:https://www.kaggle.com/users/993/ben-hamner/random-acts-of-pizza/exploratory-plots-with-julia-and-gadfly",7,bronze,13,Mon May 18 2015 19:51:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14280,None,None
/inversion,Shout-out to Finnish Kagglers,"After submitting my last 3 submissions for the contest, I'm not heading to Chicago to the Korpiklaani / Ensiferum concert. And I'm bringing [Link]:http://arxiv.org/pdf/1409.6070v1.pdf to read while waiting in line. What a glorious day. Or, as the Finns would say: ""Kun järvi on jäässä, pipo on päässä"" or something like that.",1,None,2,Mon May 18 2015 20:20:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14281,/competitions/otto-group-product-classification-challenge,16th
/wendykan,Results are final,Cheaters are now removed. Congrats to the winners of this challenging competition!,2,bronze,1,Mon May 18 2015 22:16:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14283,/competitions/how-much-did-it-rain,None
/all16universes,Tips for selecting 2 submissions for final score?,"Hello all, Any tips from veteran Kagglers about choosing two submissions for final score calculation?",0,None,9,Mon May 18 2015 23:02:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14284,/competitions/otto-group-product-classification-challenge,285th
/jiweiliu,Any advice for my last three submissions,Is there any quick magic trick that doesn't require retraining models and can boost my score to top 10? I am very tired now :P,0,None,1,Mon May 18 2015 23:13:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14285,/competitions/otto-group-product-classification-challenge,25th
/benhamner,Kaggle Scripts Enabled on Random Acts of Pizza,"I've just enabled [Link]:https://www.kaggle.com/c/random-acts-of-pizza/scripts on this competition! Share code to make submissions, explore the data, and make cool visualizations through Kaggle Scripts. For starters, here's a couple examples I put together: [Link]:https://staging.kaggle.com/users/993/ben-hamner/random-acts-of-pizza/simple-julia-benchmark (click the submission button to the right of the file to submit it and see how it scores!) [Link]:https://www.kaggle.com/users/993/ben-hamner/random-acts-of-pizza/wordclouds [Link]:https://www.kaggle.com/users/993/ben-hamner/random-acts-of-pizza/wordclouds [Link]:https://www.kaggle.com/users/993/ben-hamner/random-acts-of-pizza/exploratory-plots-with-julia-and-gadfly [Link]:https://www.kaggle.com/users/993/ben-hamner/random-acts-of-pizza/exploratory-plots-with-julia-and-gadfly",2,bronze,1,Mon May 18 2015 23:14:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14286,/competitions/random-acts-of-pizza,230th
/benhamner,Julia added to Kaggle Scripts,It's been really fun to watch all the scripts you are coming up with! I just [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/14280/julia-environment-for-kaggle-scripts. I hope it enables you to have fun with the language and show off even more cool analytics and visualizations! Here's an example showing [Link]:https://www.kaggle.com/users/993/ben-hamner/otto-group-product-classification-challenge/distribution-of-product-categories [Link]:https://www.kaggle.com/users/993/ben-hamner/otto-group-product-classification-challenge/distribution-of-product-categories,2,bronze,1,Tue May 19 2015 00:05:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14288,/competitions/otto-group-product-classification-challenge,2482nd
/aguschin,[Urgent] Submission problem,"I just made a submission and then kaggle said 'Oooops'. But it's on the my submissions' page and it's 'Pending'. I still have the last submit, but before it I need to know what's with the previous one :) So, what should I do? :D Update : solved.",0,None,5,Tue May 19 2015 00:08:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14289,/competitions/otto-group-product-classification-challenge,2nd
/spaceman,The predictive power of a single layer Neural Network,"It will be several more hours for my 2 layer fully connected Neural Network will converge to beat the leader board; unfortunately it will probably happen after the contest --I keep entering these things late in the game. However I was growing a single layer ANN and found it interesting, and I hope you will to how much information can be packed into a single layer ANN Locally: 1.197806 Public: 0.66676 Privately: TBD Network[1]: 0: Layer: 0: Neuron{Sigmoid rate:-0.0276357 bias: 53.902 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weights[-0.139754,-9.9354,-4.67649,1.03181,5.25463,3.39656,-6.39825,-4.26612,1.24332,1.18567,-15.065,8.86449,-10.3919,1.67636,1.43397,2.41195,-18.4125,1.02718,-7.79882,-5.56493,2.8923,-1.30841,-15.1817,1.79624,4.16483,-32.4928,-9.70054,-6.03239,-19.1325,-20.7781,-0.759883,-3.76215,8.79082,-8.68394,-3.2266,-15.3559,-1.57411,2.22834,-5.6792,1.6188,-19.1595,-17.9699,-0.22649,-0.44751,-0.335108,-5.96082,-13.2341,6.66854,-0.00507131,-4.09434,-19.7262,1.24257,-9.09166,1.93247,-3.67383,-5.46287,-23.3328,-6.20279,-12.6564,-13.1851,-12.3618,-0.985065,5.98099,2.1386,2.3569,3.00966,1.24625,-22.5283,-5.08226,-0.484779,-15.5846,3.20449,-2.04986,0.905093,-15.708,-3.91565,15.1664,-16.1604,-9.05526,-5.07675,-7.50654,2.92801,-1.45077,-35.2948,-0.475572,0.152981,1.82802,-1.62281,0.96383,-11.3155,-16.6214,3.81935,-2.65425]} 2: Neuron{Sigmoid rate:-0.0294661 bias: 50.7374 weights[2.72333,1.9377,2.25774,1.42486,6.88558,2.43724,5.81073,2.10654,-1.99121,1.90681,8.11953,1.41622,-0.226892,-1.53494,-0.641057,-2.35005,10.7885,1.95174,1.40668,4.43088,-2.73647,1.78232,-0.681772,-1.33616,0.392036,17.2231,-0.98755,3.21833,-1.65624,-5.37361,-2.20299,-3.41732,1.65348,4.23957,2.39924,1.78099,0.984832,-2.17795,2.2514,-2.29787,-0.720279,7.99929,-6.61557,-0.00793549,3.54719,-0.175854,14.2353,1.0447,-0.771349,-0.239935,9.7476,-0.287122,1.9283,0.297893,0.175497,-0.999918,13.3125,2.78921,5.43849,30.4619,7.70158,-0.766878,-0.801942,-2.09097,2.22247,0.395955,2.92031,3.57829,8.99461,-1.14514,-4.03556,0.360587,6.03283,5.02174,7.56142,5.1485,16.945,1.61154,1.68035,-1.55435,2.90346,14.3509,-4.11367,26.2999,-2.17616,-2.27335,2.4427,-1.55473,-4.43299,5.63774,8.3547,24.8132,8.40886]} 3: Neuron{Sigmoid rate:-0.030698 bias: 79.3815 weights[-5.32299,8.69673,7.46358,8.09868,-4.08758,-0.192657,5.24673,0.270982,5.90894,-1.97705,13.4983,6.627,-1.17595,-0.393267,-3.17504,0.355339,11.0566,7.73556,0.390038,-2.14189,3.9473,-1.69288,-2.34536,5.79246,-4.82564,-13.2597,-0.335615,10.2557,4.16889,9.42674,3.62892,2.67082,0.687066,4.61988,9.33225,0.108569,0.113864,1.44734,6.33981,-0.523247,0.480532,-2.35716,-1.27213,-2.89083,2.07138,-0.426899,23.0013,5.65582,8.49291,1.32857,18.7343,-7.39309,0.584822,1.40208,-0.742714,-0.854378,18.9511,18.507,8.72803,1.35448,16.1736,9.3214,-2.48401,-0.0817417,5.61934,0.0330571,5.68164,1.50325,0.332469,-0.287631,6.44259,0.310915,0.861746,-0.397285,2.57234,11.6825,15.9083,1.59631,-2.03276,-0.503053,10.317,13.906,2.21052,17.2742,-2.48381,-2.33194,-6.83613,-1.81137,3.80538,6.95716,-0.470093,-5.19047,13.2378]} 4: Neuron{Sigmoid rate:-0.0526879 bias: 32.1633 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/derekzh,300 test data,"Hi fellow Kagglers, I am looking at data and got surprised that there are only 320 test data, for a 1 million + training set. I worry how randomness is gonna play in the prediction: is this competition gonna be one of those depending at least somewhat to luck, or is it one of those data fluctuation really does not play that much of a role?",1,bronze,1,Tue May 19 2015 02:06:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14291,/competitions/pkdd-15-taxi-trip-time-prediction-ii,42nd
/andrewgeisler,"R, file size, and speed","Hey everyone - I'm an R user relatively new to modeling and prediction. I love Kaggle for the exposure to new problems, data set and just general practice. However, I struggle when the sets get large. My R session just times out or just takes so long. Are there techical tips that anyone can share to help working with large sets? I'm looking into resources like H2O and even server based solutions but I'm a little lost there. I've managed to create one model (actually a couple leading to one submission) that's done reasonably well. I just want to continuing exploring different approaches. It's just very taxing on my machine apparently and I'm getting frustrated. Id love to hear about whatever tips anyone may have! Thanks!",3,bronze,12,Tue May 19 2015 02:17:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14292,/competitions/facebook-recruiting-iv-human-or-bot,459th
/whitetigersfu,Code sharing and script posting,"I'd like to address the Kaggle admin team, and hope they actually find this post and read it I understand it is not uncommon for people to share code in these competitions that allows many participants to bump their score on the private and public LB at a time very close to the competition deadline. I've seen this happen in another competition, and it legitimately infuriates some people when a model or method they spent a great deal of time developing is pushed out of top 10/top 10%/top 25% by a legion of participants who copy-paste a script. This has happened in a few competitions before, and it seems to always invoke the same response.I'm not complaining about code sharing in general, I think it's a great idea, and I've used code that was shared to both improve my scores and learn about the relative performance of different models. However, I'd like to request that some sort of regulation or other action taken for this competition, and others that allow data sharing, to prevent the situation I spoke of earlier. Sharing top 10% ranking code in the last week, or even few days, of the competition serves no pedagogical purpose (what can be posted for education a week before the deadline, can be posted a day after the deadline as well), and produces no value for the organizations running the competitions either. The only thing it does is hurt the achievements of those who worked hard to get it, boost the achievements of those that have more skill in copy-pasting code than in data science. Again, this isn't a criticism of code sharing, or of product/package promotion, but rather criticism of the devaluation of hard work and knowledge growth in the name of product/package promotion.Some might agree, some might disagree, but I'd like the Kaggle administration to consider some sort of soft, or hard, deadline for code sharing, or at least promotional code sharing",3,bronze,2,Tue May 19 2015 03:25:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14293,/competitions/predict-west-nile-virus,317th
/asimkievich,congratulations to the winners!,"not sure if I am breaking any etiquette (i.e. if this thread should be posted by the organizers, in that case I apologize in advance) but my hat goes off to the winning team. This was a brutal competition, and I have to say I feel a bit relieved that it is over. Look forward to checking the winning solutions. Hope everyone got something out of the competition, I am sure most did.",6,silver,45,Tue May 19 2015 03:40:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14294,/competitions/otto-group-product-classification-challenge,87th
/mikeskim,"41599 via TSNE, meta bagging","As promised, this will get you 0.41599 public via T-SNE and meta bagging. The key here is meta bagging. And proper representation of the data with various transforms. I'll post an update to a potentially higher scoring single model with meta bagging neural networks where the first stage uses the mean of rbf svm, rf, and gbm. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79080/2502/ottoHomeBagG4.R",103,gold,34,Tue May 19 2015 04:11:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14295,/competitions/otto-group-product-classification-challenge,8th
/ngutten,Competition write-up (Optimistically Convergent),"Now that it's over, even though we didn't finish in the money, I figured I'd write up the interesting bits of our models. I'll be writing up my side of things, and then Hoang may add to that. For me, it seems like this competition was all about two things: finding ways to get different biases in the individual models, and having a good method for ensembling beyond just averaging. Models This is a whole laundry list. I'm going to go over this briefly, then just list the things I think were particularly novel. In the final ensemble, the way we organized things was to do 5-fold stratified CV on each model and generate a set of predictions for the entire training set. In some cases we bagged across the five folds for the test set, and in other cases we did an independent run training the model against the entire train set before predicting test. The predictions on the training set were used in the ensembling stage to fit the ensemble parameters. For parameter search, we had a couple different methods. I did a lot of human-based gradient descent, which worked very well for neural nets because you can look at the convergence curve and draw conclusions as to e.g. whether you need more dropout directly. In other cases, Hoang used random search with Gaussian processes to guide the search, and I did a similar thing but using RBF-based support vector regression with C and epsilon set to make it particularly blurry. The idea is basically to take the data on model performance for all the parameters you've already tried, fit the GaussianProcess or SVR learner to that data, and then use that to accept/reject random search coordinates. With GaussianProcess in particular, it can estimate how much you know or don't know about a region of the parameter space, so you can in principle search more efficiently that way. I don't know that it made a huge difference honestly. Personally I found that adjusting the bounding box of the random search dynamically seemed to be more important than picking out particular contours of the landscape within that bounding box. But it probably did shave off a few days in the end. XGBoost Pretty straight-forward. Hoang and I both had our own XGBoost models when we teamed up, and they were pretty tightly correlated. This was pretty much just hyper-parameter optimization. Early on I got mine to the 0.44 range (not using gamma or colsample_by_tree), and while we had slightly better tuned ones by the end I'm not sure it mattered all that much compared to the computer time for the hyper-parameter search. Neural Networks I used Lasagne/Nolearn for my initial results (and I think Hoang did similarly), and then we switched to seeing if we could get more out of Keras near the end. I want to thank Inversion here for pointing out the log transform on the data in a forum post. I found that log(2+data) followed by StandardScaler worked the best here. I didn't end up having a chance to try the Anscombe transform. All my layers were ReLU, with a Softmax output layer. One architecture I ended up getting reasonable results (LB=0.446) with was: Input -> 0.13 Dropout -> 2500 -> 0.77 Dropout -> 1300 -> 0.35 Dropout -> 40 -> 0.1 Dropout -> Output (AdaGrad, 600 epochs, batch=1024, linear decreasing learning rate starting at 0.04, ending at 0.005) However, I also had networks with (LB=0.441): Input -> 0.15 Drop -> 2000 -> 0.7 Drop -> 1200 -> 0.4 Drop -> 40 -> Output (AdaGrad, 400 epochs, batch = 512, learning rate from 0.04 to 0.001) or even (LB=0.463): Input -> 0.15 Drop -> 180 -> 0.1 GaussianNoise -> 0.1 Drop -> 180 -> 0.05 Drop -> 180 -> 0.05 Drop -> 140 -> 0.05 Drop -> 140 -> 0.05 Drop -> 140 -> 0.1 Drop -> 140 -> 0.1 GaussianNoise -> 160 -> Output (AdaGrad, 100 epochs, batch=512, rate = 0.03 to 0.005) (whew) Random search on Keras gave me a network that scored 0.447 locally (never submitted it to the LB), with an inverted architecture compared to my main ones (Input -> 419 -> 2110 -> 2250 -> Output, with dropouts 0.43, 0.25, and 0.39). One thing is that even though the network with 2000 nodes in the first layer had a better LB score, it ensembled significantly worse than the one with 2500 nodes. Boosted Neural Networks There's a final neural network trick I want to mention, because its sort of hacky but it worked pretty well for me. The idea is to implement a kind of boosting by removing data rows from the training set that are predicted well by the current version of the network, and then to iterate training several times with a small number of epochs. In principle, if a neural network correctly predicts a data row, it should not change its weights when trained on that data row again. However, if you have a network with random stuff going on in the training (such as dropout) or which is using an objective function that remains under tension even when the network is converged, it should still make a difference. Also, periodically restarting training with different data distributions seems to help kick the network out of local minima in its convergence. For these networks, we used a couple of different architectures but they weren't much different from the ones above (Input->0.15->2000->0.7->1200->0.4->40->Output). However, it was trained for only 25 epochs at a time (rate=0.02 .. 0.005). Following that, I generated predictions on the training set using the network (of course this would be overfit in general). I then turned off all data rows whose individual log-loss was less than 2% of the average log-loss, so basically getting rid of rows that were crammed up against P=1 in some column. I repeated this over 16 cycles. This gave a network that scored 0.433 on the leaderboard. So it seems to be a really nice trick. Stochastic Gradient Descent This is a dark horse. Even the best-performing one we managed to obtain was scoring about 0.58 locally. So why bother? Well, one thing that it seems that linear SGD was good for in this competition was for feature engineering experiments. Linear SGD isn't clever on its own, so if you add something with a bit of cleverness to it then the CV will tend to be a lot more responsive than it might be with a more complex algorithm. So we were able to find out a few things about the data here, even if the final results weren't all that useful in ensemble. One set of features that was pretty nice was to one-hot encode the index of the top four ranking data columns for a given row. That's a very non-trivial measure (because it requires ~log(94) comparisons to establish), so it isn't captured by second-order, third-order, etc interactions very well - there's some hope it could add to even something fairly strong like XGBoost, since basically you're substituting in a sensible, existing depth-7 tree as one of the inputs. Another similar thing was that for second-order interactions, the ranking interaction was more informative than the product (that is to say, the quadratic feature is set to 1 if feature A > feature B, and is otherwise zero; rather than the feature being A*B). Random Forest, GBM, Support Vector Machines Hoang had the best versions of these models, so I won't get into it so much. I will mention that one trick with SVMs here is that it seems that you can get some pretty nice improvements by tuning a per-column scaling on the data. Ensembling As I mentioned before, smart ensembling and having multiple different biases seemed to be the most important things for this competition. The issue was that XGBoost and neural networks both ran out in front as the best-performing algorithms on this dataset. So that means that it takes a lot to make other models which contribute meaningfully to the ensemble in a straight out average, even if they have different biases. Also, when you average too much stuff together at some point you go from marginal gains from bagging to losing logloss due to regression towards the mean. The other part is that since this is a multi-class dataset, some algorithms will perform better on distinguishing certain classes than others. A straight-up averaging doesn't immediately take advantage of that. So one of the big improvements came from the fact that Hoang had written a neural network-based ensembler which ended up taking even models performing in the 0.58 range and managed to squeeze some improvement out of them. Another trick in the ensembling stage (which didn't make it into the final submission) was when bagging together copies of models, to look at the portion of information from the different folds which was statistically independent and use it to 'overshoot' in a sane fashion. The algorithm is something like: - Calculate the probability that the two models you want to blend will give the same result (using, e.g., the largest probability out of the 9 to determine what class it thinks the row is). Lets call this pXY. You also may want to weight the models, so lets call that factor 'b', and it's between 0 and 1. So, as a function of the estimated probabilities from the models P1 and P2, the blended, non-normalized probability Pb of a class is: Pb = pXY * (P1*b + P2*(1-b) ) + (1-pXY)*( P1^(2*b) * P2^(2*(1-b)) ) / ( P1^(2*b) * P2^(2*(1-b)) + (1-P1)^(2*b) * (1-P2)^(2*(1-b)) ) Basically the idea is to say, if there's a chance that the models agree not because of their prior probability of agreement but because of some un-shared information, you should adjust the probability of that class to be more confident than either of the models would be alone. It turned out that this was giving improvements of about 0.0007 in CV score when we were doing our final big blend, but by the end Hoang's neural network ensemble algorithm had completely outpaced it. Still, I felt it was worth a mention because it seems to be a very nice trick to avoid some of the problem of regression towards the mean when you're combining a large number of models. Anyhow, I think I'll leave off here since Hoang can say more about the specifics of the ensembling method than I can.",59,gold,26,Tue May 19 2015 04:29:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14296,/competitions/otto-group-product-classification-challenge,6th
/liamhuber,Observations on the data,"Just getting started looking at the data. I've come across some stuff that surprised me a bit, so I thought I'd summarize here. Perhaps I've gotten something wrong and you can correct me, or I've missed something and you can add to it! 1) TIMESTAMP is just seconds since 1970/01/01 (noted [Link]:https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i/forums/t/14041/timestamp, ( [Link]:https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i/forums/t/13573/julian-timestamp). i.e. Unix, not Julian) 2) Every DAY_TYPE in both training and test sets are 'A'. This column holds no information. (Admins, is there a corrected day set somewhere that has different values in this column?) 3) In the train set, I found 5901 rows with POLYLINE length = 0. So the 10 rows with ""MISSING_DATA = True"" are a bit of an underestimate! 4) TAXI_ID has 244 (448) unique values in the test (train) data. All 244 of the unique test values can be found in train. Using similar analysis for ORIGIN_CALL and ORIGIN_STAND, I found 41 and 39 of the unique values in test also present in train, respectively. Given that there's only 320 test rows, these overlaps may be worth one-hotting.",1,bronze,10,Tue May 19 2015 06:59:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14299,/competitions/pkdd-15-predict-taxi-service-trajectory-i,14th
/kavadikirajesh,Working on highly skewed datasets,"Hi, I have a data-set that is very skewed 99.95 % zeros and 0.05% non-zeros, I have to build a regression on this data set to predict essentially non zeros. Things that i tried but didn't achieve a good RMSE attempt 1: Used Linear Regression added class weights, took a log on the dependent variable attempt 2: Used a Poisson Regression, as in few articles it was mentioned that Poisson would give a better result on a skewed dataset attempt 3: Initially built a Logistic regression to classify zeros with non zeros and then built a Linear Regression to perform regression, however this entire attempt failed as the initial classifier had a very bad accuracy. Looking ahead for some advice from data scientists who have worked with such datasets.",0,None,4,Tue May 19 2015 12:27:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14302,None,None
/del=43048f5b4c13f32d,0.416 in just a few lines of code.,"Hey, due to lack of time I've only managed to create two models and simply average their predictions. What's interesting is that this simple solution actually placed me in top-100. The only pre-processing used was sklearn's StandardScaler for NNets. Unfortunatelly I had no success with Spearmint nor Randomized Grid Search, so parameters were tuned by hand (watching learning curves etc). XGBoost gives 0.433 on public LB, NNet gives something about 4.43 - 4.44 on local CV, but I haven't submitted it to LB. Arithmetic mean of their predictions gave me 4.14 on public LB, 4.16 on private. The only thing I can contribute here is to recommend the Weight_constraints regularization. It seems to work better than L1 / L2. I don't know if there is a proper way of finding the good value for W_constraint, but I would first train my NNet without it, and then set the constraint to be .X (.2 seems fine) lower than norm of unconstrained weights. Keras let's you set per-layer constraints which is nice. NNet: optimizer = SGD(lr=0.02, momentum=0.9, decay=5e-5, nesterov=True) iters = 260batch_size = 64split = 0.clf = MLP_single(optimizer, iters, batch_size, split) job = { 'activation': u'relu','batch_normalization': u'False','W_inialization': u'he_uniform','n_hid': 3,'n1': 2048,'n2': 4896,'n3': 2048,'clip_norm_1': 1.15,'clip_norm_2': 1.15,'clip_norm_3': 1.15,'clip_norm_4': 5.5,'dropout_input': 0.1,'dp_1': 0.60,'dp_2': 0.61,'dp_3': 0.60,'iters': iters,'batch_size': batch_size,'split': split,'opt_pars': opt_pars } XGB: job = { 'bst:colsample_bytree': 0.8,'bst:eta': 10 ^ -1.7,'bst:gamma': 1.7,'bst:max_depth': 110,'bst:min_child_weight': 1.5,'bst:subsample': 0.8,'num_boost_round': 4500}",22,gold,10,Tue May 19 2015 12:48:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14303,/competitions/otto-group-product-classification-challenge,95th
/vkuznet,to kaggle team,"After this competition, coding, brainstorming, reading multiple posts, observing results and behavior of the service I want to reach kaggle team. First, I think kaggle is great, but it is not perfect. There are multiple objectives which is really hard to reach following simple rules. And, that's why I want to share a few observations: once competition is over, the services is literally DOWN and not only for this specific competition, but other too. In this competition we had less then 4k people, which means that service should sustain such and higher load easily. it is obvious that there are different goals for different people. Some want to learn, some want to compete, some want to share or even to show up. All of these are valid points, but your goal is to make a fair environment for ALL. If you can't people will leave your service or build a competitor. I see that you revisited ranking system recently to address some of these issues but it is not enough. I think this and other competition show what should be done and how you can improve. For instance, introduce public and code forums within a competition, and penalize people for using the later. In public forums people can share ideas but not code. The code can go into code form. If someone want to learn (s)he will read code form it, but their score will be penalized by some amount due to the willingness to read others code. The same idea can be used to weight single competitors vs teams. The former by have less resources/ideas/manpower, while later can easily spread/test ideas among peers. This should be account into final tournament placement. If someone will post a very good code in code forum (s)he should be rewarded for that too, since others learn from it, e.g. the reward may be added to person ranking points. If you'll implement these and other ideas I see benefits for all parties. People will be acknowledged for hard work and will be allowed to learn. Moreover, your business partners will get better idea who worth what and people who use kaggle for their job hunting can rely on fair ranking of their abilities. I don't expect that anything I said will be implemented or may be it will, but I want to be sure that you hear the voice of community and interested to make your service better. Best, Valentin.",4,bronze,6,Tue May 19 2015 14:00:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14304,/competitions/otto-group-product-classification-challenge,146th
/mko237,Scikit Learn predicting same class for each training example,"Hi guys, I'm having an issue using SciKit Learn's Pipeline function. I have an RBM connected to logistic regression. However, once I call predict_proba(X_valid) on the pipeline, the results are the same for each example in X_valid. The same thing happens when i switch the logistic regression out for a SVC(). Has anyone else run into this problem, or know what i'm doing wrong? Thanks.",0,None,6,Tue May 19 2015 15:25:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14305,None,None
/romanv1,Final Leaderboard results calculation,"I not found in rules for this competition that final results will be calculated on different data set, does it mean that final results will be calculated on the same data set, which is using on current leaderboard?",2,bronze,3,Tue May 19 2015 17:15:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14306,/competitions/bike-sharing-demand,39th
/byang1,Inconsistent Number of Competitions Displayed,"Hi, I don't know if this has been reported before, and a search found nothing. There're 3 places that display the number of competitions you were in. 1. User rankings page. 2. Your profile page, and if you've been in more than 9 competitions, there's a little square that displays your number of competitions. 3. If you click on that square, it shows a list of your competitions. I noticed for myself, all 3 numbers are different. I looked at some other users and found a few with inconsistent number of competitions displayed too.",1,bronze,5,Tue May 19 2015 18:22:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14308,None,None
/del=afe15d65ca56fa7f,empty POLYLINEs,"I noticed that there's some trips that have completely empty polylines, with no missing data. How should one interpret these trips? Do they serve no predictive purpose at all, since we have no information on the trajectory or trip time, and therefore they can just be ignored?",0,None,3,Tue May 19 2015 18:57:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14309,/competitions/pkdd-15-predict-taxi-service-trajectory-i,None
/yonidahan,Some visualizations in R,"Here is some code in R which outputs wordclouds for the ""query"" variable. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79306/2504/query_wordcloud.R",6,silver,4,Tue May 19 2015 20:17:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14311,/competitions/crowdflower-search-relevance,621st
/yaohuizeng,"Post competition questions: LB score, AWS usage, etc.","Hi all, I have some questions as this competition has completed. 1. Has the LB score and rank finally decided or not? I just noticed that my rank was quite different from what I saw yesterday. I didn't quite remember the score though. 2. I am just wondering how many of your guys have used AWS for distributed computing in this competition. I assume being able to use AWS is very beneficial in the long run so I wish I could master it soon. Could any of you share some experiences of using that? Like tutorial about basic set up and how much it cost for this competition. 3. If asking you to name the most significant/impressive/useful thing (like technique, package, trick, insight, you get it) you learnt from this competition, what would be the one? Mine: XGBoost package for sure. Thanks in advance for sharing.",0,None,8,Tue May 19 2015 21:08:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14312,/competitions/otto-group-product-classification-challenge,111th
/inversion,Strategy for top 25 score,"This was a pretty simple strategy that scored in the top 25 all by itself, giving a LB score of 0.40327. XGB Boost as main workhorse. Created 10-fold training self-predictions Added in different combinations of features when building models. Used genetic algorithm ensemble (with replacement). For features, I used obvious ones (sum of the row, number of non-zero, max of the row, number of 1s, 2s, 3s, and position of max value) as well as different manifold algorithms (e.g., t-SNE). Some distance measures worked better than others, e.g., Correlation distance. Here's a gif I made showing how it separates. (I'll be providing a Kaggle script for this soon.) http://i.imgur.com/T78VdKw.gifv The gif is 45 features cross plotted against each other. For each row, I calculated the distance between that row and all the rows in Class 1, Class 2, etc. That gave me a distribution of distances for that row. Then I calculated the 10, 25, 50, 75, 90th percentile of those distributions for each class. In other words, for a random row, I'm calculating the distribution of how near it is to all the points in each class. (9 classes x 5 percentiles) I also used previous best model predictions as features. For the Genetic Algorithm, I used DEAP where the gene was a vector length 20 composed of different model numbers. A trick I found useful: I always used my best LB submission to date act as a pseudo ground truth, and compared new submissions against that (loss typically being around 0.20). If I ran a model that had a good training loss, but the ""pseudo score"" got significantly worse, that meant I was over fitting. In other words, if my local loss improved to 0.390 but my pseudo-loss jumped to 0.25, I knew I overfit. EDIT: I uploaded a youtube video of the [Link]:https://www.youtube.com/watch?v=OOkBYL5rHpk that is better than the gif.",54,gold,25,Tue May 19 2015 22:26:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14315,/competitions/otto-group-product-classification-challenge,16th
/mikeskim,data science of food,"I would like to analyze food quantitatively based upon region it is produced in. My hypothesis is that American food is always higher than foreign counter parts when controlling for all factors. For instance, American Italian food has higher sodium on average than what you can get in Rome (or any other city in Italy). This is subjective: based upon my own experiences. However, I've heard foreign phd students claim the food in America is always higher in fat, salt and sugar compared to their home country (the same exact dish). Does anyone have data on this? Can I show this empirically or am I delusional?",1,bronze,5,Tue May 19 2015 23:03:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14316,None,None
/scorpion,How can I evaluate my results after missed the entry deadline?,,0,None,4,Wed May 20 2015 02:12:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14317,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/staesthetics,What Causing This? (I cannot submit the result),Here is the error message that I got. I already try to make the data type as similar to the samplesubmission.csv id as factor units as numeric But the error keep coming. Really frustating. Anybody know why? Please help. Regards [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79380/2506/WalmartError.PNG,0,None,4,Wed May 20 2015 05:51:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14318,/competitions/walmart-recruiting-sales-in-stormy-weather,460th
/wildwizard,Submission problem,"hello I submitted some results and saw a counter with ""x ahead of you"". But then it arrived at 0 and there is still the message. I checked ""my submissions"", and the entry is complete with its score (no luck:() but I am afraid that it could disturb the further submissions in some way. Has someone experienced this already? Thanks for your help.",0,None,2,Wed May 20 2015 12:40:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14322,None,None
/upulbandara,A little bit strange,[Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79428/2509/kaggle.png,1,bronze,1,Wed May 20 2015 14:19:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14325,/competitions/predict-west-nile-virus,392nd
/devinanzelmo,Information header blocks community drop down menu,"The current claim your URL information header is blocking the drop down menu for 'Community', this also happens after a competition ends and the 'winners will be contacted soon' message appears.",3,bronze,9,Wed May 20 2015 19:57:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14326,None,None
/taffeylewis,Minor profile improvement,"I see two new changes: one being permanent kaggle URLs linking to our profile and the other being ability to search for kagglers in the user rankings. I updated my profile name to something I tend to use elsewhere (free kaggle points to all who get the reference) prior to committing to the URL, and realized that my ""presence"" is instantly gone with the old profile name, as in next time I post on a forum I'll look like someone who is new. My request: would it be possible to enable the search function to allow searching kagglers by their previous profile names as well as their current profile name?",1,None,8,Wed May 20 2015 20:43:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14328,None,None
/ziyaowei,Is the leaderboard still updating?,"I'm pretty sure my ranking just moved up some ~20 positions on both the private and public leaderboard, and the number of teams went down by ~70. Is the leaderboard still updating, or are some competitors somehow being removed?",0,None,3,Thu May 21 2015 00:35:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14329,/competitions/otto-group-product-classification-challenge,326th
/iglovikov,What is the metric?,"Hello everyone, I am probably missing something, but I can not figure out what is the metric for this competition. Does anyone know?Thank you.",0,None,2,Thu May 21 2015 01:23:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14330,/competitions/walmart-recruiting-sales-in-stormy-weather,15th
/wendykan,Not final yet....,"We're in the process of going through submissions and catching the cheaters. (Yes, for those of you that didn't cheat, you will likely move up places) Since this competition is the most popular ever in kaggle history, it's taking longer than normal. Please be patient and we'll announce it when it's final. In the mean time, we like seeing all these scripts and the sharing in the community. Keep them coming!",24,gold,12,Thu May 21 2015 05:18:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14331,/competitions/otto-group-product-classification-challenge,1280th
/lrargerich,Very simple script to get started in R (Vector Space Model),"Hi, I created this very simple script for those that want to get started with R for this competition. It creates a vector space model using query, product_title and product_description and then feeds everything to a linear SVM for predictions. The script is complete creating a valid, but not so wonderful submission file. Current result is around 0.44 but there's a lot of room for improvement. [Link]:https://www.kaggle.com/users/191033/lrargerich/crowdflower-search-relevance/r-vector-space-model Cheers Luis",4,bronze,25,Thu May 21 2015 07:50:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14333,/competitions/crowdflower-search-relevance,438th
/bamine,Hyperparameter Optimization using Hyperopt,"Hi guys, As you know, hyperparameter tuning was an important aspect of this competition and I think most people were using GridSearch or RandomSearch. I was using hyperopt http://hyperopt.github.io/hyperopt/ , and I had pretty good results with it (I find a good set of parameters in a lot less time than Random Search for example). You can find an example script of optimizing XGBoost hyperparameters (on the otto competition data), here : https://github.com/bamine/Kaggle-stuff/tree/master/otto",25,gold,8,Thu May 21 2015 11:03:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14334,/competitions/otto-group-product-classification-challenge,71st
/titericz,1st PLACE - WINNER SOLUTION - Gilberto Titericz & Stanislav Semenov,"1st PLACE SOLUTION - Gilberto Titericz & Stanislav Semenov First, thanks to Organizers and Kaggle for such great competition. Our solution is based in a 3-layer learning architecture as shown in the picture attached.-1st level: there are about 33 models that we used their predictions as meta features for the 2nd level, also there are 8 engineered features.-2nd level: there are 3 models trained using 33 meta features + 7 features from 1st level: XGBOOST, Neural Network(NN) and ADABOOST with ExtraTrees.-3rd level: it's composed by a weighted mean of 2nd level predictions.All models in 1st layers are trained using a 5 fold cross-validation technique using always the same fold indices. The 2nd level we trainned using 4 Kfold random indices. It provided us the ability to calculate the score before submitting to the leader board. All our cross-validate scores are extremely correlated with LB scores, so we have a good estimate of performance locally and it enabled us the ability to discard useless models for the 2nd learning level. Models and features used for 2nd level training:X = Train and test sets -Model 1: RandomForest(R). Dataset: X-Model 2: Logistic Regression(scikit). Dataset: Log(X+1)-Model 3: Extra Trees Classifier(scikit). Dataset: Log(X+1) (but could be raw)-Model 4: KNeighborsClassifier(scikit). Dataset: Scale( Log(X+1) )-Model 5: libfm. Dataset: Sparse(X). Each feature value is a unique level.-Model 6: H2O NN. Bag of 10 runs. Dataset: sqrt( X + 3/8) -Model 7: Multinomial Naive Bayes(scikit). Dataset: Log(X+1)-Model 8: Lasagne NN(CPU). Bag of 2 NN runs. First with Dataset Scale( Log(X+1) ) and second with Dataset Scale( X )-Model 9: Lasagne NN(CPU). Bag of 6 runs. Dataset: Scale( Log(X+1) )-Model 10: T-sne. Dimension reduction to 3 dimensions. Also stacked 2 kmeans features using the T-sne 3 dimensions. Dataset: Log(X+1)-Model 11: Sofia(R). Dataset: one against all with learner_type=""logreg-pegasos"" and loop_type=""balanced-stochastic"". Dataset: Scale(X)-Model 12: Sofia(R). Trainned one against all with learner_type=""logreg-pegasos"" and loop_type=""balanced-stochastic"". Dataset: Scale(X, T-sne Dimension, some 3 level interactions between 13 most important features based in randomForest importance )-Model 13: Sofia(R). Trainned one against all with learner_type=""logreg-pegasos"" and loop_type=""combined-roc"". Dataset: Log(1+X, T-sne Dimension, some 3 level interactions between 13 most important features based in randomForest importance )-Model 14: Xgboost(R). Trainned one against all. Dataset: (X, feature sum(zeros) by row ). Replaced zeros with NA. -Model 15: Xgboost(R). Trainned Multiclass Soft-Prob. Dataset: (X, 7 Kmeans features with different number of clusters, rowSums(X==0), rowSums(Scale(X)>0.5), rowSums(Scale(X)< -0.5) )-Model 16: Xgboost(R). Trainned Multiclass Soft-Prob. Dataset: (X, T-sne features, Some Kmeans clusters of X)-Model 17: Xgboost(R): Trainned Multiclass Soft-Prob. Dataset: (X, T-sne features, Some Kmeans clusters of log(1+X) )-Model 18: Xgboost(R): Trainned Multiclass Soft-Prob. Dataset: (X, T-sne features, Some Kmeans clusters of Scale(X) )-Model 19: Lasagne NN(GPU). 2-Layer. Bag of 120 NN runs with different number of epochs.-Model 20: Lasagne NN(GPU). 3-Layer. Bag of 120 NN runs with different number of epochs.-Model 21: XGboost. Trained on raw features. Extremely bagged (30 times averaged).-Model 22: KNN on features X + int(X == 0)-Model 23: KNN on features X + int(X == 0) + log(X + 1)-Model 24: KNN on raw with 2 neighbours-Model 25: KNN on raw with 4 neighbours-Model 26: KNN on raw with 8 neighbours-Model 27: KNN on raw with 16 neighbours-Model 28: KNN on raw with 32 neighbours-Model 29: KNN on raw with 64 neighbours-Model 30: KNN on raw with 128 neighbours-Model 31: KNN on raw with 256 neighbours-Model 32: KNN on raw with 512 neighbours-Model 33: KNN on raw with 1024 neighbours-Feature 1: Distances to nearest neighbours of each classes-Feature 2: Sum of distances of 2 nearest neighbours of each classes-Feature 3: Sum of distances of 4 nearest neighbours of each classes-Feature 4: Distances to nearest neighbours of each classes in TFIDF space-Feature 5: Distances to nearest neighbours of each classed in T-SNE space (3 dimensions)-Feature 6: Clustering features of original dataset-Feature 7: Number of non-zeros elements in each row-Feature 8: X (That feature was used only in NN 2nd level training) The 2nd level we start training cross-validated just to choose best models, tune hyperparameters and find optimum weights to average 3rd level.After we found some good parameters, we trained 2nd level using entire trainset and bagged results.The final model is a very stable 2nd level bagging of:XGBOOST: 250 runs.NN: 600 runs.ADABOOST: 250 runs. The average for the 3rd level we found better using a geometric mean of XGBOOST and NN. For ET we did an aritmetic mean with previous result: 0.85 * [XGBOOST^0.65 * NN^0.35] + 0.15 * [ET]. We tried a lot of training algorithms in first level as Vowpal Wabbit(many configurations), R glm, glmnet, scikit SVC, SVR, Ridge, SGD, etc... but none of these helped improving performance on second level.Also we tried some preprocessing like PCA, ICA and FFT without improvement.Also we tried Feature Selection without improvement. It seems that all features have positive prediction power.Also we tried semi-supervised learning without relevant improvement and we discarded it due the fact that it have great potential to overfit our results. Definetely the best algorithms to solve this problem are: Xgboost, NN and KNN. T-sne reduction also helped a lot. Other algorithm have a minor participation on performance. So we learn not to discard low performance algorithms, since it have enough predictive power to improve performance in a 2nd level training.Our final cross-validated solution scored around 0.3962. LB(Public): 0.38055 and LB(Private): 0.38243. Gilberto & Stanislav =) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79598/2514/FINAL_ARCHITECTURE.png",482,gold,119,Thu May 21 2015 14:20:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14335,/competitions/otto-group-product-classification-challenge,1st
/anoruni,"Username changed, not able to make submission","While making the submission for the ""Walmart Recruiting II: Sales in Stormy Weather"" , an option for changing the username was provided, following which I changed my username from ""mistizz"" to ""Anoruni"". But after this change of username I'm not being able to make a submission. Please suggest.",0,None,4,Thu May 21 2015 14:41:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14336,None,None
/spsaaibi,21 horas para que se acabe la competencia,"Hola, quedan 21 horas para el cierre de la competencia (Viernes 22 de Mayo, 9:59 AM COT). Algunas recomendaciones: - No todos han hecho submissions. Esto es requisito para poder calificar la tarea. - Los puntajes en el set de entrenamiento aún están altos. Ideas para reducirlos: * Grafiquen los datos!!! * http://en.wikipedia.org/wiki/Segmented_regression * Cuáles de las variables tienen poder predictivo? Mucho éxito!",0,None,3,Thu May 21 2015 19:47:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14339,/competitions/computational-methods-2015-10-hw8,None
/iglovikov,Was anyone using neural networks?,"I really liked how neural networks worked in the Otto competition, they were showing same result as XGB, but here, I was not able to get NN result that is even close to extreme gradient boosting. I am assuming that I am doing something wrong. Does anyone have positive experience with neural networks in this competition? I would love to get some hints or look at the code.Thank you.",0,None,1,Thu May 21 2015 20:24:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14340,/competitions/how-much-did-it-rain,63rd
/liufan,"A human bidder bids 515,033 times?","Just did a simple profiling of the data. Found the top 3 bidders made the most bids of 515,033, 236413 and 192,565 times are all actual human? Quite strange. Can anyone give a sound explanation?",0,None,2,Fri May 22 2015 00:08:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14347,/competitions/facebook-recruiting-iv-human-or-bot,585th
/derekzh,Visualization of Taxi Routes,"Hi fellow Kagglers, I made this plot combining all taxi routes in the training set, the route colored based on its ""busy-ness"", i.e., number of times that stretch of road is taken during the one year period. I thought this would be helpful to gain intuition of the data, and that I'd share it with everyone. Two things are immediately apparent: 1. there is noise in data: some trips were taken in the ocean! 2. most trips were taken in the city, but the 440 busy drivers clearly sampled a large portion of the region's road network in one year! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79682/2517/Visualization of Taxi Routes.png",15,gold,4,Fri May 22 2015 00:57:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14348,/competitions/pkdd-15-taxi-trip-time-prediction-ii,42nd
/chenglongchen,Cross Validation and Leaderboard Score,"Just borrow Abhishek's topic on the similar StumbleUpon competition, as in [Link]:https://www.kaggle.com/c/stumbleupon/forums/t/5509/cross-validation-and-leaderboard-score. For this CrowdFlower competition, I have both tried StratifiedKFold on median_relevance and query with k = 5 or k = 10, and got similar results. Below is a 10-fold CV score of one of my models using stratified sampling on query: Fold: 1, Kappa: 0.695725 Fold: 2, Kappa: 0.690260 Fold: 3, Kappa: 0.737398 Fold: 4, Kappa: 0.728977 Fold: 5, Kappa: 0.686266 Fold: 6, Kappa: 0.728183 Fold: 7, Kappa: 0.687032 Fold: 8, Kappa: 0.733474 Fold: 9, Kappa: 0.718880 Fold: 10, Kappa: 0.691591 Mean: 0.709778 Std: 0.020233 Kappa use all folds: 0.711838 It is with LB = 0.66907, which is roughly within 2*std. Did you guys find similar results between CV and LB?",2,bronze,16,Fri May 22 2015 04:36:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14350,/competitions/crowdflower-search-relevance,1st
/ask788,Clarification on objective,"Are we predicting the units sold on a given day or the sum of units sold in a period of t-3 to t+3 for a total 7 days around each date? I first predicted units sold for a given day and got a decent score. Then I tried doing what the instructions said, predict for a whole week centered on each date(+/-3 around each date) and I got a far worse score so I'm confused. Can someone please clarify?",-1,None,1,Fri May 22 2015 06:08:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14351,/competitions/walmart-recruiting-sales-in-stormy-weather,220th
/scottlewis,daily fantasy baseball collaboration?,"hi, i have found success at daily fantasy baseball so far this year. I have background in math, poker, sports betting, and trading, which seems like a nice skill fit for dfs. The next step to improve performance, i believe, involves original research. Most of the best baseball researchers are trying to solve problems related to running a baseball team, not picking a fantasy roster every night. There is alot of great analysis publicly available, but i want to test hypotheses on the raw data. unfortunately, i am not a data scientist. I am in nyc, and would love collaborate with someone who thinks these types of problems are as fun as i do. ideally, with someone that wants to learn dfs and we can do this as collaborators. but i also understand that to make money gambling, you have to have money and be able to handle the swings without getting too stressed out. if you would prefer direct financial compensation, im open to that too. also, this is my first post, so hi everyone. i think this is right forum, if its not i apologize. scott",0,None,1,Fri May 22 2015 15:25:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14354,None,None
/flo12392,Poor performance of random forests,"Hi all,I am relatively new to machine learning, this will be my second competition after having competed in the recent Otto competition. I wanted to start the competition by creating my own benchmark with a random forest. I added the weather data, as well as a few calculated fields. Some of the calculated fields have quite high variable importance, as measured by the randomForest package. I did not use any spray data.However, both on the CV (leave one year out, train on the rest) as well as on the LB data, the performance is poorer (CV about 0.76, LB 0.69) than the simple GAM bechmark bosted (LB 0.71). I have tried various parameter settings (2000 trees, mtry of 5-20 and nodesize of 10-40).My questions:- Has anybody had succes with using random forests?- Could it be that random forests in general are no good choice for a model here, and if so, why?Thanks in advance,Florian",1,bronze,4,Fri May 22 2015 15:30:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14355,/competitions/predict-west-nile-virus,566th
/mko237,How do you use multiple models,"Hi guys, I'm curious how you combine multiple models. The first place winner, for example, combined models from R and SciKit for their solution. How is this done?",0,None,5,Fri May 22 2015 16:42:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14357,/competitions/otto-group-product-classification-challenge,2040th
/arpitsharma,Final Result,"Hello, At the end of competion are we going to have a handful of code/resulting data set listed here? It would be good for people like me who are trying to learn such analysis. Thanks",10,bronze,27,Fri May 22 2015 22:40:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14358,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/marypetik,some stats,"22.05.2015:: ""313,542 registered members."" I think, above information is too unformative, and it will be very good to arrange a special page with the following details: the numbers of members, 1) who made at least one submission to any event;2) at least one submission to ranking event;3) achieved at least one 25% in ranking event;4) achieved at least one 10% in ranking event;5) master within a team;6) master solo.",4,bronze,11,Fri May 22 2015 23:11:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14359,None,None
/sircausticmail,Usage of external data permitted?,"Is the usage of external data permitted such as ""red light"", ""one-way routes"", ""high density traffic lanes""",-1,None,2,Sat May 23 2015 12:29:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14364,/competitions/pkdd-15-predict-taxi-service-trajectory-i,336th
/shilparai,Error while submitting the result,"Hi All, I have been facing the same issue as others. I can see in the thread that, it has been mentioned that,change the format of the datetime to yyyy-mm-dd hh:mm:ss. I did the same thing, but still getting the same error. How to resolve this problem? I attached the snapshot of the format [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79856/2520/datetime format.PNG",0,None,1,Sat May 23 2015 20:45:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14367,/competitions/bike-sharing-demand,231st
/kevansaba,Bug when Importing Data in R - workaround found,"Hi everyone, this is only my second Kaggle competition so this may seem like a noob question but I noticed that using the classic read.csv function to import data into R was consistently stopping when running into a ""→"" character in the csv files (eg: see line 1750, column 4 in the training set). R gave me this error ""In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :EOF within quoted string"" I manually removed these pesky arrows in both files and imported all my data, but I'm curious to know if there is a way to tell R to ignore them inside the read.csv function. thanks!",0,None,4,Sun May 24 2015 00:58:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14369,/competitions/crowdflower-search-relevance,None
/willieliao,Beat the Benchmark (0.61646),"The idea is to find the trips in train that had a starting location closest to the trips in test. From that subset, calculate a weighted average of trip duration. The weight is 1/distance^2 with the smallest distance set at 10 meters. Also, control for outliers by throwing away 10% of the longest trips in train. Took about 15 minutes and uses 4+GB of memory. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79873/2522/BeatTheBenchmark.R",11,gold,13,Sun May 24 2015 01:24:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14370,/competitions/pkdd-15-taxi-trip-time-prediction-ii,24th
/willieliao,Beat the Benchmark (3.38929),"Similar to my beat the benchmark code in the [Link]:https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii/forums/t/14370/beat-the-benchmark-0-61646/79873#post79873 competition, the idea is to get a subset of trips in train that started close to each trip in test. In addition, throw away any train trips that lasted less than the test trip duration. Use the average of the final coordinates, treating the earth as flat. It doesn't do as well as just using the last location so a better way to combine coordinates will probably improve this a lot. EDIT: Use the last attachment. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79882/2523/BeatTheBenchmark_loc.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79882/2524/BeatTheBenchmark_loc.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79882/2525/BeatTheBenchmark_loc.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/79882/2526/BeatTheBenchmark_loc.R",6,bronze,2,Sun May 24 2015 03:25:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14373,/competitions/pkdd-15-predict-taxi-service-trajectory-i,52nd
/usovar,Pixel values from the image,Could anyone suggest an R package which could extract the pixel values from an image? The idea is to reproduce the same/similar train data-set given a list of images with hand written numbers.,0,None,7,Sun May 24 2015 13:14:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14374,/competitions/digit-recognizer,None
/amartya,SD in Relevance,"Hi, I understand the SD depicts how unianimous the relevance decision is but how are do you use it in your prediction. Is it to be used in combining processes ?",0,None,1,Sun May 24 2015 15:51:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14375,/competitions/crowdflower-search-relevance,418th
/asimkievich,how to run Abishek's benchmark code on Windows,"hi there, if you copy-pasted Abishek's code to your python IDE on a Windows computer, you probably get the following error message after running it: ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect you main loop using ""if __name__ == '__main__'"". Please see the joblib documentation on Parallel for more information The cause is that the grid search is set up to run jobs in parallel (parameter n_jobs=-1) - how many parallel jobs depends on the number of cores in your computer. In turn, this does not always work on windows without slightly changing the code. The solution is to wrap the code (only exception are the functions in the first portion of the code) under the following statement: if __name__ == '__main__': here is a link to a more formal explanation of the problem: https://pythonhosted.org/joblib/parallel.html And here is a link to an adjusted script which you can copy paste and run on windows: https://www.kaggle.com/asimkievich/crowdflower-search-relevance/abisheks-benchmark-beating-for-windows Good luck!",4,bronze,2,Sun May 24 2015 16:26:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14376,/competitions/crowdflower-search-relevance,3rd
/yuanhangliu1,Missing bidder information in both training and testing datasets,"Hello everyone, I just entered the competition. I found that in the training set, there are 29 bidders that have no corresponding bidding information in the bids.csv file. Also, there are 70 bidders that have no corresponding bidding information in the bids.csv file. Do you have any suggestions of what to do? Thanks in advance!",0,None,4,Sun May 24 2015 21:34:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14378,/competitions/facebook-recruiting-iv-human-or-bot,220th
/emiliocs,Combine models using Kappa score,"When I use log_loss with predict_proba I can give weights to each model using scikit minimize function. How can I combine models result based in Kappa score ? Regards, Emilio",0,None,1,Mon May 25 2015 02:08:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14380,/competitions/diabetic-retinopathy-detection,254th
/emiliocs,Combine models result,"When I use log_loss with predict_proba I can give weights to each model using scikit minimize function. How can I combine models result based in AUC score ? Thanks, Emilio",1,None,17,Mon May 25 2015 02:14:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14381,/competitions/predict-west-nile-virus,None
/asimkievich,interesting resources,"hi there, to those of us who want to take advantage of this competition to hone our NLP skills, here is a link to an interesting resource: http://www.nltk.org/book/ Additionally, the package NLTK provides lots of useful tools - you can download all the corpora and other tools by just typing the following in your IDE: >>> import nltk>>> nltk.download() directions available at http://www.nltk.org/data.html Have fun and good luck! ps: all tools are in python",1,bronze,4,Mon May 25 2015 04:40:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14383,/competitions/crowdflower-search-relevance,3rd
/benhamner,Kaggle Site Activity Feed,"There's one thing that's been bothering me for a while. I have a set of SQL queries that I find far more effective for getting a sense of what's happening on Kaggle than anything that we expose through a web platform. One type of query is a set of site activity feeds (including forum posts, script runs, forum upvotes and script upvotes). As a late Saturday night hack project, I created a combined view for the last hundred items in these feeds and published it at [Link]:https://www.kaggle.com/feed. Let me know how you find it!",5,bronze,6,Mon May 25 2015 08:10:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14384,None,None
/tavish,Wrappers for Feature selection,"Hi, I am looking for a feature selection (wrapper) on R (or Python). Currently I use a very manual process to select the right set of variables. It will be great if someone can share me codes/links which will help me automate this process to some extent.",-2,None,2,Mon May 25 2015 13:00:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14385,/competitions/facebook-recruiting-iv-human-or-bot,108th
/mnrlmn,Out of memory issue,I was plagued by out of memory issues on my macbook pro (8GB ram). I tried both R and scikit both failed on algorithms like random forest. Folks who succeeded any hints on how did you work around the memory issue (unless of course you had a machine with more memory)?,0,None,3,Tue May 26 2015 02:00:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14386,/competitions/walmart-recruiting-sales-in-stormy-weather,275th
/favicontech,How can i decrypt training and test set data?,91a3c57b13234af24875c56fb7e2b2f4rb56a,-7,None,2,Tue May 26 2015 14:45:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14388,/competitions/facebook-recruiting-iv-human-or-bot,None
/xiongmao,where can I find someone to make a group?,where can I find someone to make a group?,0,None,1,Tue May 26 2015 17:56:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14389,None,None
/sarvjeet,Would I be able to submit solution to this problem after prize deadline ? I am doing this for my own interest.,I am not concerned about prize.,0,None,6,Tue May 26 2015 19:23:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14390,/competitions/pkdd-15-taxi-trip-time-prediction-ii,None
/nedelko,public leaderboard feedback,"This competition looks similar to https://www.kaggle.com/c/genentech-flu-forecasting The winning methods in that competition use parameter fitting via leaderboard scores. So it's important to know whether such methods are allowed here? For example, via leaderboard feedback one can easily reveal that 2012 was a peak of WNV.",7,silver,4,Tue May 26 2015 19:33:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14391,/competitions/predict-west-nile-virus,6th
/vimalmshetty,why the results are not finalised yet?,"Hi, its almost 3 weeks since the computation got over. But the results are not finalised? Can some one put some light one this? Regards, Vamal",3,bronze,2,Tue May 26 2015 20:18:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14392,/competitions/15-071x-the-analytics-edge-competition-spring-2015,2nd
/benhamner,Tweaking the scripts hotness ranking algorithm,I just tweaked the [Link]:https://kaggle.com/scripts ranking algorithm to more heavily favor scripts that changed and received votes in the past week. This should help keep that feed fresher instead of leaning heavily on the older and most upvoted scripts (we'd originally erred in that direction since we want new visitors to the page to see high quality scripts).,2,bronze,4,Wed May 27 2015 02:55:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14393,None,None
/scharf,A basic look at LB scores,"admins please remove if this violates anything..I know the rules are a bit stricter on these comps. TL;DR see the plot For those of you out there struggling a bit with wanting to be atop the public leader-board, and getting frustrated with your awesome models that seemingly don't score well, or perplexed by the lack of continuity and lack of positive feedback from the public leader-board, I thought I would post this to help you along a bit. Lets say I have a model that I have constructed carefully, and being the solid modeler that I am, I have in my possession, the out-of-fold predictions for this model on the all the training data. (This is our best guess at how the test data would score if I predicted it with my model. Some people call it local validation. Its not the 'Bible', but its often the best we can do. For those of you just getting into this, K-fold cross validation is a necessity when the competition has smallish or unstable data. We have to estimate what the heck we are doing,else we are flying blind. Further, we have to always ensure that our out-of-fold predictions are in fact out-of-fold. This involves building K different models with different subsets of the data. Sometimes this is tricky to get unbiased local validation) I would like to experiment and see visually and empirically how much my public AUC could deviate from my local AUC. This assumes my local AUC is reliable which may or may not be true.. but we proceed undaunted. I am going to create 2 vectors from my ~2000 out-of-fold training predictions. 4700 randomly selected (with replacement) pairs of predictions and y (ground truth). This expands my data to the size of the test data. This won't change much statistically, given these sizes, and can be verified easily. But we will build a 4700 length pseudo-test set to try this out and keep the sizing proper. For control, I score my full test vector (all 4700), and receive a .918 AUC. This is the Bible as it relates to our experiment. I have synthetically made a set that I can be certain is a .918 AUC that should be pretty structurally similar to what we might expect the test predictions to look like. I know this because I have created the predictions and the truth in my hand to run this little test. The experiment. I am going to randomly select 30% of my 4700 pseudo-test predictions (this is what the leader-board does) and score the AUC. I am going to save my score and do this another 100,000 times for good measure. This gives me an idea of how volatile the LB is with respect to my psuedo-test set. Remember, I know what the truth is for this experiment, I am just curious how much my estimate of this could swing if I only score a randomly selected 30%.. I tried to simulate this with as close to possible real world conditions for this competition. There probably exists some closed-form estimate for this but that math is above my pay grade. So we are gonna do it empirically, and see it with our own eyes. The results: the plot kind of tells the tale. On average the LB will score right on the money. But with a SD of .0204, we really cannot rely on the public leader-board score. Q: Did your model get a favorable or unfavorable split? A:We have no way of knowing. Q: What about if I run two different models and score them both? Is one better because it scored .01 higher? That would jump me 100 places up the leaderboard!!! A:We have no way of knowing. All we can do is create as reliable a local process as possible. It is very tempting to get falsely encouraged or discouraged by the leader-board. But the leader-board is like my ex-gf from college, cannot really be trusted all the time.. Hope this helps anyone just getting going.. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80090/2538/Rplot.png",48,gold,5,Wed May 27 2015 05:35:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14394,/competitions/facebook-recruiting-iv-human-or-bot,48th
/raghavmech,Feature extraction,"Hi, Is the benchmark score achieved only through Bag of words? I am new to kaggle. What should be the strategy in attacking this problem? Please suggest!! Thanks Raghav",0,None,19,Wed May 27 2015 07:07:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14395,/competitions/crowdflower-search-relevance,670th
/divyarajkmr,"2 ID are there, which id need to display in result","Record ID and Trap ID are there in input files, Which ID we need to display in outcome file?",0,None,1,Wed May 27 2015 08:47:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14396,/competitions/predict-west-nile-virus,None
/danielthomas,Motivation of Bot Operators,"Has anyone else considered that there might be two distinct motivations at play? 1) Bot owner wants to win the auction 2) Bot owner wants to increase to winning price of he auction while not actually winning it (e.g. is trying to profit from selling an item) Each motivation would drive different behaviors, and while I've never heard of a penny auction site allowing users to sell items (like ebay), we dont know for sure that its not the case. Motivation 2 would explain certain behavior, such as a bidder bidding over themselves.",1,bronze,7,Wed May 27 2015 08:52:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14397,/competitions/facebook-recruiting-iv-human-or-bot,762nd
/sindhukiranmai,Decision trees VS Bayesian network ,What is the difference between decision tree induction and a Bayesian belief network other than the acyclic graph representation vs tree representation of conditional variables?,0,None,3,Wed May 27 2015 10:13:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14398,None,None
/wildwizard,Algorithm performances?,"HelloSorry if this is quite similar to https://www.kaggle.com/c/predict-west-nile-virus/forums/t/14355/poor-performance-of-random-forests but i didn't want to disturb this topic. I have tried on my set various techniques similar to those benchmarked here, like boosting or neural nets or logistic regression (I couldn't go for GAM, I didn't find something equivalent in weka with which I am stuck for now). But they constantly give awful results. On the contrary, while most people find random forests to be badly performing, they have been one of my best shot. What could explain such discrepancy in my preprocessing of data, given that I did nothing fancy, added weather data, tried to eliminate things redundant to other features like adresses and so on? Also, one thing even more disturbing is that from trees, only random forests perform ""well"", J48, Best first trees, alternate decision trees, REP trees don't work. The only thing that worked equally well was a try at nearest neighbours algorithms, but only on my previous dataset, not on the current that allowed me to reach 0.75. Now they are performing even worse than on the previous dataset. At last, cross validated results don't score as well as one shot predictions (made in one run over the training set). That's very strange for me given what have been said there: https://www.kaggle.com/c/predict-west-nile-virus/forums/t/14185/beat-the-benchmark-using-benchmarks So I feel like I am stuck to this, since averaging with other techniques don't give me good results. But that's quite limiting What are your experience about this, please?",0,None,17,Wed May 27 2015 10:50:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14399,/competitions/predict-west-nile-virus,284th
/davidnilsson,External Data,"We use pre-trained semantic vectors (trained by the GloVe algorithm) in our scripts. So, ""to ensure fairness for all the participants in the community..."", here is the source of these vectors: [Link]:http://nlp.stanford.edu/projects/glove/",6,silver,15,Wed May 27 2015 16:15:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14400,/competitions/crowdflower-search-relevance,53rd
/syngron,Concern about a test trip's final destination,"Hello, I was fiddling around with the available test data and anomalous trips when I realized that my regression predicted the final destination of a particular long trip to be very close to the center. If visualized on a map, this particular trip looks like a very long trip without any missing values going quite straight for more than 100km. I thought I test out what happens if I change only that prediction to be the last coordinate of the partial trip which we have as it is very unlikely that the person drove back to the center afterwards (note this was only a 1 time test, I am not trying to guess manually final destinations in general :)). However when I submitted the data my score went down considerably. I am wondering if a person actually took the >100km taxi trip out of Porto just to return later and the final destination is really in the center or if this is another faulty trip without the missing data flag. I did read before that there are faulty trips where the missing data flag does not indicate it and as mentioned it is ok and one has to deal with it. My concern is that the evaluation on the LB is done with faulty final locations. This is especially worrying as there is only so few testing data. Especially one long trip can change the total average score a few hundred meters!",2,bronze,13,Wed May 27 2015 16:25:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14401,/competitions/pkdd-15-predict-taxi-service-trajectory-i,29th
/bobalv,A rogue's gallery of training cases,"The data description page is not kidding when it states: Like any real-world data set, you will encounter noise in both the images and labels. Images may contain artifacts, be out of focus, underexposed, or overexposed. For your amusement I have attached images of a set of shall-we-say challenging cases I ran across in my wanderings through the training data set. In a more serious vein, can anyone give a rationale for the severity ratings in any of these cases? Also, feel free to add your own examples. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80163/2539/QuestionableImages1.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80163/2540/QuestionableImages2.png",8,silver,10,Wed May 27 2015 19:47:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14402,/competitions/diabetic-retinopathy-detection,None
/kevinhinson,Walmart recruiting,How does this turn from a regular Kaggle challenge into a recruiting tool? Does Walmart reach out to the folks they're interested in?,2,bronze,3,Wed May 27 2015 20:31:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14403,/competitions/walmart-recruiting-sales-in-stormy-weather,11th
/saquibk,Submission Scores out of Whack,"For one of the competitions I am competing in (Facebook), I am having a lot of trouble with the submission. The models I have trained have an area under roc curve score of 0.9 in training set and very slightly less in the CV and test sets. However, when I submit, I get evaluation scores of around 0.5, which is the same as a random submission. I have gone through my code in a fine toothed comb over the past couple of days, and cannot find any bugs that will resolve this. The IDs are being carried through properly. I have compared the raw data, the feature added data, and the design matrix, and they all line up according to the IDs. I have even tried submitting in the exact same order as the provided evaluation set. Still no luck. Has anyone else experienced this? If so, how is it resolved? p.s. I am using the Python Anaconda environment.",0,None,1,Wed May 27 2015 20:33:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14404,None,None
/saquibk,Submission Scores out of Whack,"I am having a lot of trouble with the submission. The models I have trained have an area under roc curve score of 0.9 in training set and very slightly less in the CV and test sets. However, when I submit, I get evaluation scores of around 0.5, which is the same as a random submission. I have gone through my code in a fine toothed comb over the past couple of days, and cannot find any bugs that will resolve this. The IDs are being carried through properly. I have compared the raw data, the feature added data, and the design matrix, and they all line up according to the IDs. I have even tried submitting in the exact same order as the provided evaluation set. Still no luck. Has anyone else experienced this? If so, how is it resolved? p.s. I am using the Python Anaconda environment.",1,bronze,30,Wed May 27 2015 20:44:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14406,/competitions/facebook-recruiting-iv-human-or-bot,774th
/zachmayer,Timestamp timezone?,"I'm assuming UTC, but want to be sure.",1,None,2,Wed May 27 2015 23:12:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14407,/competitions/pkdd-15-predict-taxi-service-trajectory-i,None
/wikunia,Very fast taxis,"Hey guys, I am pretty sure I miss something.There are trips like #1372646810620000672 where are huge position changes of around 2 kilometers like this one:`[-8.56341,41.139675],[-8.586135,41.14872]` There are a lot of these extreme changes. I thought the change between two points can't be higher than around 0.5km cause that are 120km/h. Thanks in advance!",0,None,1,Thu May 28 2015 02:21:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14408,/competitions/pkdd-15-taxi-trip-time-prediction-ii,82nd
/yejiming,External stopwords,"""to ensure fairness for all the participants in the community..."" So, we are using nltk stopwords corpus, as: STOPWORDS = nltk.corpus.stopwords.words('english') And then apply it in tfidf. All the nltk corpus data: http://www.nltk.org/nltk_data/",8,silver,2,Thu May 28 2015 04:47:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14410,/competitions/crowdflower-search-relevance,18th
/martijn,Interactive R Tutorial: Machine Learning,"Hi All,Together with the Kaggle team we created a free [Link]:https://www.datacamp.com/courses/kaggle-tutorial-on-machine-learingNo need to install anything. Everything takes place in the comfort of your own browser. The idea is that you will gradually learn how basic machine learning techniques can help you to make better predictions. Everything is illustrated using the data of the Titanic Competition.This is the first version of [Link]:https://www.datacamp.com/courses/kaggle-tutorial-on-machine-learing. If you have any feedback, please let me know so that we can further improve it. Thanks!",4,bronze,4,Thu May 28 2015 10:41:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14411,None,None
/kathakaliseth,SVM and SVM error visualization,"This R code/visualization is only on training data. Original training data is split into 1024 records (test) and rest (training). Ran SVM (polynomial, degree 2) on training set. Due to memory constraint ran on first 20000 records. Visualization of 1024 test digits (digit_1024.png). Visualization of classified digits in test records highlighting errors. Records are sorted by predicted labels (digit_1024_class.png). Here is another one. Training data is split into 21000 records for training and 21000 records for test. Ran SVM (polynomial, degree 2) on training data. Classified 21000 test records using this model. Visualized wrongly classified digits (class predicted shown in corner) digit_wrong_class.png. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80230/2546/digit_1024.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80230/2547/digit_1024_class.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80230/2548/SVM code in R.txt [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80230/2564/digit_wrong_class.png",0,None,2,Thu May 28 2015 11:34:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14413,/competitions/digit-recognizer,None
/vruizext,why I am not in the leaderboard?,"I find it very strange. My last submissions were in March, my best submission scored 0.83254, I was in the top 50 by that time. Today I was checking again the leaderboard and I realized that I was not in the leaderboard, my old submissions were not being taken in account anymore. Has someone else had this problem? I re-submitted a results file I got in my laptop, and then I could see myself again in the leaderboard. But still, my best submission is not accounted. I don't understand what happens. I also find strange, that in every of my old submissions it's written Post-Deadline before the submission date, like this. Post-Deadline: Thu, 12 Mar 2015 07:29:17",0,None,1,Thu May 28 2015 11:55:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14414,/competitions/titanic,None
/abhishek,Welcome and Getting Started (python),Have Fun! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80255/2549/benchmark.py,1,None,3,Thu May 28 2015 16:57:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14415,/competitions/smartphone-user-activity-prediction,5th
/shilparai,Error while using xgboost() in R,"Hi All, First of all, congratulations to the winners ! :) I am trying to use xgboost(), but I am getting following error: Error in xgb.DMatrix(data, label = label) : can not open file ""0"" If I traceback, traceback()4: .Call(""XGDMatrixCreateFromFile_R"", data, as.integer(FALSE), PACKAGE = ""xgboost"")3: xgb.DMatrix(data, label = label)2: xgb.get.DMatrix(data, label)1: xgboost(data = as.matrix(trainSet[, 1:13]), label = trainSet[, ""count""], max.depth = depth, nround = rounds, objective = ""reg:linear"", verbose = 0) at #5 Any reason why I am getting the above error. I would appreciate any kind of help. Thanks in advance!",1,None,2,Thu May 28 2015 21:38:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14420,/competitions/otto-group-product-classification-challenge,3011th
/morsecode,What's the Unit of Time?,"It appears to be some very small fraction of a second. Is this supposed to be a secret or something that we have to try to infer on our own? It would be helpful to know to assess ""recent"" activity.",0,None,2,Fri May 29 2015 00:19:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14421,/competitions/facebook-recruiting-iv-human-or-bot,None
/wikunia,Speed visualization,"Hey guys, I have no idea how to solve this challenge but I found it interesting and I've tried to visualize the speed of the caps. You can find the source code here:https://www.kaggle.com/wikunia/pkdd-15-taxi-trip-time-prediction-ii/speed-visualization Maybe you have some ideas how to improve it. The red roads should be avoided cause they are the slowest, the white ones are fast and yellow is kind of in between. Have fun! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80319/2553/image_100.png",8,silver,4,Fri May 29 2015 00:53:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14424,/competitions/pkdd-15-taxi-trip-time-prediction-ii,82nd
/bruttoblotto,Help a noob in R : ],"Hi all, Been working through this competition slowly (literally). I've been having some problems getting my R code streamlined and it probably takes me about 45 minutes to get just 15 random forest trees… which tbh is very frustrating when that scores about 0.7 and 50% of the people on the LB are scoring 0.9 :S Things I have tried: *Using FREAD (saw it in an earlier post and was a very good suggestion!) *Running multiple random forests and then combining them for a larger forest of forests (crashes my computer when I try to add my 15 trees together…) *Running 64 bit R and setting memory limit as high as I can… I had focused on just trying to feed my trees better data but maybe I need to do something different for a dataset this size? Either way, any help would be appreciated so I don't have to bang my head against the wall / wait haplessly for the next 10 days till I see final solutions. Thx!",0,None,5,Fri May 29 2015 04:14:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14426,/competitions/facebook-recruiting-iv-human-or-bot,644th
/mikedemurtas,Real life (and real experts) question,"Congratulations to the winners of this competition, I enjoyed it a lot . The winning solution though was very complicated and in general the solutions in kaggle are getting more and more complicated, so here's my question: in a data scientist day to day job is it common to do something so complicated?From one side I see the leading softwares like sas or rapidminer which seems to rely mainly on regression, from another side we have this three level ensemble of ensembles.I'd like to hear from people on the fields. Thanks All Mike",7,silver,3,Fri May 29 2015 09:16:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14429,/competitions/otto-group-product-classification-challenge,526th
/madcap,Looking for teammate,I have a ~0.6 score on the leader board and I'm looking for someone to team up with. Ideal characteristics looking for in a teammate: - Similar/higher score - Complimentary skills. My effort was titled towards engineering features beyond the typical word vector. I did not experiment much with models (basically used one model -- which is neither SVM nor ANN). - Good sparring partner. - In it for the fun and learning experience. But it would be nice to get good results.,0,None,3,Fri May 29 2015 09:53:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14430,/competitions/crowdflower-search-relevance,3rd
/ghostrider,I have a Data set of Insian classical music. how to use it if we want to classify in 10 parts. using SVM,please contact me if you are interested. https://www.facebook.com/pranay.prasoon.35 I want to publish my work. the only problem I am facing in classifying using SVM. please help,0,None,1,Fri May 29 2015 10:49:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14431,None,None
/pinocchio,Marked as robot based on just one bid?,There are users that made only one bid. Some of them are marked as robot in training set. Don't we need more than observation to judge the behavior of users?,-1,None,4,Fri May 29 2015 10:53:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14432,/competitions/facebook-recruiting-iv-human-or-bot,24th
/debanjanbanerjee,Need help on modelling methods,"Dear All, I am trying with the following code in R. install.packages(""klaR"") library(""klaR"") library(""MASS"") library('caret') modnb <- train(WnvPresent ~ Species + NumMosquitos + Month,data=training,method=""nb"") modlda <- train(WnvPresent ~ Species + NumMosquitos + Month,data=training,method=""lda"") In both the cases of ""nb"" and ""lda"" models I am getting the error message , Error in train.default(x, y, weights = w, ...) : wrong model type for regression Can you please help me with what could be the right model for regression in this case ? Thanks and regards with best wishes Debanjan",0,None,2,Fri May 29 2015 16:57:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14434,/competitions/predict-west-nile-virus,1166th
/zachmayer,Self-evaluation,"Has anyone had any luck approximating the leaderboard via cross-validation? If so, what kind of difference are you seeing between leaderboard scores and CV scores? Right now, my CV's reporting a RMSLE of ~.18, and I'm pretty sure it's not overfit. So I'm suspicious that my CV method isn't a good representation of the leaderboard...",1,None,5,Fri May 29 2015 16:59:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14435,/competitions/pkdd-15-taxi-trip-time-prediction-ii,None
/debanjanbanerjee,Can I work on the problem even after the deadline ?,"Dear All, Education about data science is my chief motivation for coming into this forum. I want to continue to work on the problem even after the deadline. Will I be allowed to do so under the present guidelines ? Take care Debanjan",0,None,1,Fri May 29 2015 17:13:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14436,/competitions/predict-west-nile-virus,1166th
/jeradrose,Testing comments,This is a comment,1,bronze,3,Fri May 29 2015 17:23:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14437,None,None
/inversion,FAQ,"Having a FAQ for new users might be helpful: - Can I submit after the deadline? - What software can I use? etc., etc., etc.",3,bronze,5,Fri May 29 2015 18:31:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14438,None,None
/stevolkm,Submission Error: Type String expected but was Int32,"Hi guys, i have a problem to make a Submission in a kaggle competition. The following error occurs: "" ERROR: Expected 'ID' column to be of type 'String', but was 'Int32'. "" I want to upload a .csv-File that was created by Azure ML. In Azure ML the columns are definitly of type String, because i converted them to that format. An example of this file is this: ID,activity1,52,53,54,55,56,57,58,59,510,5etc. ID to 3600, with activity 1-6 I hope you can help me to get the right format in the .csv-File! Thanks with big hope, Stephan [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80397/2555/theproblem.csv",1,None,4,Fri May 29 2015 19:37:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14439,None,None
/jeradrose,Hello this is my script,test,0,None,1,Fri May 29 2015 19:50:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14440,None,None
/abhishekbarnwal,Simultaneous bids by one bidder for the same auction,"How can it be possible for one bidder to make multiple simultaneous bids on different devices, and in some cases, from different countries? For example, look at bidder_id f5b2bbad20d1d7ded3ed960393bec0f40u6hn for auction uu6z3 at time 9704713526315789",1,bronze,6,Fri May 29 2015 22:31:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14443,/competitions/facebook-recruiting-iv-human-or-bot,53rd
/jerrylin,Features or Algorithms? Need help!,"Hey all, I have a general question of doing kaggle competitions.Whether should I pay attention on the algorithm or on feature extraction. For West Nile Virus, I was using simple method to extract features from the original data set. For example, I kept some numerical features such as Tmax, Tmin and also convert some categorical features to numerical features. That was all I did for feature extraction. And I was using random forest to make the prediction. I am considering using other complicated feature extraction methods first, than update my prediction models. Could someone give me some suggestions?",0,None,3,Sat May 30 2015 00:40:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14444,/competitions/predict-west-nile-virus,203rd
/jellishero,Competition's over...Show me what you got!! Maybe?,"Hi everyone. Now that the competition is over I wonder if its now okay to share what we got? I haven't been able to do better than over 600 of you, so I would like to learn from what you guys did, if it is cool to do so, now.",3,bronze,3,Sat May 30 2015 02:28:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14445,/competitions/bike-sharing-demand,668th
/jellishero,Using R: how can I use Random Forests to identify important variables?,"Hi Kaggle community. I learned that there was a technique in Python where you can essentially identify the important variables using Random Forest. Now, I know you can use random forests in R, but I haven't a clue how this technique, called Feature selection, works out in R. Any ideas how this can work?",1,None,3,Sat May 30 2015 06:46:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14446,/competitions/titanic,None
/del=e95d9fee779ad3ec,No entries !!!,"Hi Admin, I submitted 8 results (if i am not wrong) to this competition. But i could see in my profile page -> under result tab -> ""No entries"". On the other hand i could see the submissions that i made available in Mysubmissions link. I am within top 100 in the LB. Currently Please advice what went wrong ? Does anyone came across similar issue ? Please share your comments..",-1,None,1,Sat May 30 2015 15:30:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14451,/competitions/titanic,None
/threecourse,First Place Entry,"Thank you all people around this competition, I'm a newbie in data science and it was the first challenge for a non-playground competition, so I'm really surprised and glad to win. I'm not great at English, so wrote this method description in itemized style. Train model 1. Exclude item/stores whose units are all zeros. 2. For each item/stores, apply curve fitting by R ppr function (projection pursuit regression). y = log1p_units, x = days from 2012-01-01 here, data on 2013-12-25 are excluded. (because units are almost all zeros) 3. Train linear model with lasso using vowpal wabbit. y = log1p_units - ppr_fitted features : - A : weekday, is_weekend, is_holiday, is_holiday_and_weekday, is_holiday_and_weekend - B : item_nbr - C : store_nbr - D : date - E : year, month, day - F : is_BlackFriday-3days, -2days, -1day, is_BlackFriday, +1day, +2days, +3days - G : weather features (is preciptotal > 0.2, depart > 8, depart < -8) - interactions A*B A*C B*E C*E B*F C*F here, below are excluded: - on 2013-12-25 - moving average(21 elements, centered) is zero. 4. Mark dates as ""too much zeros"" where both sides are many successive zeros.4-1. for dates whose units are not zero, calculate minimum of both side successive zeros (= min_side_zeros).4-2. for each item/stores, calculate maximum of min_side_zeros (= max_min_side_zeros), floor and ceiling by 1 and 9.4-3. for each item/stores, mark dates as ""too much zeros"" where both sides are successive zeros more than max_min_side_zeros. Prediction on test set predicted_log1p = ppr_fitted(train-2) + linear model predicted(train-3)predicted = exp(predicted_log1p) - 1 here, below are predicted as zero.- item/stores whose units are all zeros. - on 2013-12-25- moving average(21 elements, centered) is zero.- ""too much zeros"" (train-4) Comments The core idea is very simple like that:1. Create a baseline for each item/stores.2. Apply linear regression using vowpal wabbit with many features. As for baseline:- R ppr functions fit really nice on almost all item/stores (can be improved on some item/stores). - At first I used moving average. It worked, but fluctulates too much or catch too distant value. As for features:- weekday is the most important- month periodicity is on some store/items- around Black Friday sales fluctuates a lot- weather features are not effective almost at all In the data, people go shopping as usual however much it rains. It's not natural, so I guess weather data came from different stations. Considering successive zeros was my final push, it slightly improved the score. Codes uploaded on github, [Link]:https://github.com/threecourse/kaggle-walmart-recruiting-sales-in-stormy-weather",64,gold,8,Sat May 30 2015 15:31:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14452,/competitions/walmart-recruiting-sales-in-stormy-weather,1st
/udayand,CV vs LB score,using a simple model with Month + Species2 + Block + Trap data with SVM and 2011 as the CV year I get a pretty decent ( i think ) area under ROC curve of 0.74 ... however on LB this translates to a lowly 0.65 score. any guidance from more experienced kagglers on what I need to do ?,1,bronze,5,Sun May 31 2015 01:12:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14455,/competitions/predict-west-nile-virus,816th
/iglovikov,What competitions were similar to this one?,"Hello everyone,What past competitions were similar to this one?Thank you.",0,None,1,Sun May 31 2015 05:56:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14456,/competitions/facebook-recruiting-iv-human-or-bot,262nd
/willieliao,How to do cv,"I got several negative votes in the [Link]:https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i/forums/t/14401/concern-about-a-test-trip-s-final-destination thread so I guess my post wasn't on topic even though at least 3 other people were talking about cv. So here's a new topic showing how to create a validation set with an example. To mimic the test set truncation: Pick several dates. The attached example uses 5 days in 2013 with the same month and day as the 5 days in the test set in 2014. Pick cutoff times in each of the 5 dates. Similarly, I chose the same time of day as the test set. That is, the maximum timestamp within each of the 5 days. Calculate the implied end time as timestamp + 15*length(polyline). Taxi trips that cross the cut-off time form the validation set. In the validation set, truncate polyline points that occur after the cutoff. In the first attachment, I plotted the histogram of the 313/320 trips in the test set that had less than 240 readings. The second attachment shows the distribution of the 222/232 trips with full polylines in the validation set (5 chosen dates in train). The last attachment shows the distribution 231/232 trips after truncation. The first and last histograms have similar distributions. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80510/2559/Test Set Truncated.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80510/2560/Train Set Full.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80510/2561/Train Set Truncated.png",6,silver,3,Sun May 31 2015 10:04:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14458,/competitions/pkdd-15-predict-taxi-service-trajectory-i,52nd
/djdjoko,Importing data into H2O from R,"I am having a problem importing the test dataset into H2O. The dataset train_hex (contains titanic train.csv dataset) which loads the train data seems to have a parsing problem as some rows have not been parsed. On the other hand test_hex (contains titanic test.csv dataset) is perfectly fine. I tried as well loading the data into an r dataframe first and then using as.h2o command but still have the same issues. Does anyone have a suggestion? This is the code I am using: path_local <- getwd()path_train <- paste0(path_local, ""/data/train.csv"")path_test <- paste0(path_local, ""/data/test.csv"") ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Initiate and Connect to a Local H2O Cluster## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ localH2O <- h2o.init(max_mem_size = '1g') ## using a max 1GB of RAM ## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Import Data to H2O Cluster## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ train_hex <- h2o.importFile(localH2O, path = path_train) test_hex <- h2o.importFile(localH2O, path = path_test)",0,None,1,Sun May 31 2015 13:35:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14461,/competitions/titanic,None
/athiradas,Over sampling of WnvPresent -1 ,"Hi, I am new to machine learning and i am trying to learn it by solving kaggle problems. In the training data, total records are 10506. WnvPresent = 0 are 9955. WnvPresent = 1 are 551. This will affect the model, right? I am using randomForest and i want know how we can do oversampling for the data?",0,None,11,Mon Jun 01 2015 10:11:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14466,/competitions/predict-west-nile-virus,1183rd
/thakurrajanand,Beat the Benchmark,Attached R script finds the most popular cookie ID for each country and use that cookie ID as prediction in submission file for each country. It gives my current LB score. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80683/2568/country_bencmark.R,12,silver,1,Tue Jun 02 2015 21:24:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14489,/competitions/icdm-2015-drawbridge-cross-device-connections,15th
/buntha,Where is the sqlite database,Where can I find the sqlite database in the dataset provided? There is also an sqlite database (database.sqlite) alternative with all data available,0,None,1,Tue Jun 02 2015 21:56:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14491,/competitions/avito-context-ad-clicks,285th
/chuckbolin,Image Processing or Machine Learning?,"Hi, I'm a newbie in regards to data science and machine learning. As a programmer I've taken an interest in learning R and playing with data sets over the past 6 months. I've even uploaded some very unimpressive submission files in another challenge. In this challenge, it seems intuitive to me as a coder, that I would write a solution that would evaluate each image and produce the cleanest copy possible. This would utilize some techniques with R package 'EBImage' along with additional thresholding. From my perspective this seems like an 'Image Processing' problem. We're provided a dirty and a cleaned up copy of several training images. Other then saying, ""yep, this is what a cleaned up image should look like"", I'm kind of lost at how to implement a Machine Learning algorithm using the 'cleaned training' images. I played with the the ""Diabetic Retinopathy Detection"" code and images are mixed; each one classified by whole number such as 0, 1, 2, etc. This 'Denoising' is different. Would somewhat toss a few nuggets my way and explain how to approach this problem using some ML techniques? Or should I simple proceed using non-ML techniques? Thanks, Chuck",2,bronze,11,Tue Jun 02 2015 22:37:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14492,/competitions/denoising-dirty-documents,136th
/ivanguz,Welcome to Avito Context Click Prediction!,"Dear participants, Welcome to Avito Context Click Prediction competition where you are asked to predict probability that a user of an online classified will click on a specific ad. In this competition you are given a lot of behavioral information about each user that can be used to infer his/her interests. We hope that this information combined with other statistics that we have provided can help with better ad targeting. You have a unique opportunity to practice your feature preparation and modeling skills with both structured and unstructured data to solve one of the worlds most interesting and challenging problems. In many existing CTR prediction competitions you are either limited with the type of available data or rather you are already given some numerical features that are shrouded in mystery. By taking part in this competition you can learn by yourself full data mining process in programmatic advertising: from understanding raw semi-structured data to creating robust CTR predictive model and testing its accuracy. Good Luck! Ivan",14,silver,15,Tue Jun 02 2015 23:12:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14494,/competitions/avito-context-ad-clicks,None
/fzr72725,training dataset for ID3 algorithm and need some general direction,"Hello! I'm new to data science! I decided to start learning some basic algorithms that are common(according to Google) in data mining. I now want to implement ID3 algorithm using python. And I'm wondering where I can find a simple training\testing dataset. I'm looking for attributes with discrete values(I'm not sure how to handle continuous values...). And ideally small number of classes(2 or 3 I think will be good). Can anyone please advise? I also would like to know if this is a good way to start. Eventually I would like to take the courses people recommended from coursera. But first, I think it's good to build some solid basic knowledge. This is how I came up with learning algorithms. Later I also want to take some statistics class before anything else. Is this a good way to get me into data science? I would love to hear suggestions from others! A little info about me: my major was computer information system. Although I don't have hardcore development skills, I have written python scripts for automation at work. So coding\data cleaning might not be so hard for me to pick up. However, other data science-related topics are totally new to me. Thank you so much for helping!",0,None,2,Wed Jun 03 2015 00:05:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14495,None,None
/del=44f2d26d91dbd008,Good starting point,"Hi all, I am new to Brain-Computer prediction problem. I am curious about recent progress in this direction. Could some one tell me a bit about it? Also, good papers to start are welcome as well as some public solutions of some problems. Thanks.",0,None,1,Wed Jun 03 2015 01:07:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14496,/competitions/brain-computer-interface-prediction,None
/davutpolat,Neural Nets instable CV results,"Hi All, i am running one year out CV with NN model, i got 0.67 (for 2007 on validation set), 0.96 (for 2009 on validation) , 0.95 and 0.85 combination of all folds gives 0.79. i couldnt get why i am having this instable results with NN. any ideas ? Thanks in advance Regards",0,None,2,Wed Jun 03 2015 01:16:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14497,/competitions/predict-west-nile-virus,10th
/richardnam,Trouble downloading database.sqlite,Is anyone else having trouble downloading the sqlite database 'database.sqlite'? Here's the page it returns when I click on the download link: This XML file does not appear to have any style information associated with it. The document tree is shown below.<Error><Code>BlobNotFound</Code><Message>The specified blob does not exist. RequestId:2e73e30f-0001-000f-7596-9d8a62000000 Time:2015-06-03T00:45:30.7979571Z</Message></Error>,0,None,6,Wed Jun 03 2015 02:46:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14499,/competitions/avito-context-ad-clicks,363rd
/shreyassaxena2,Any success with other standard performance measures?,"Hello, I have been using and playing around with the scripts provided by Abhishek. Up-till now I have played with RF and SVM using Kappa as a metric, and I was planning to shift to neural networks. My scores on my 3-fold CV roughly matches with the LB score, though sometimes there are weird exceptions. I wanted to know, if anyone has tried any other standard performance measures to hack the model parameters with success? ( Eg. MSE, Logistic loss for classification etc. )",0,None,8,Wed Jun 03 2015 03:42:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14501,/competitions/crowdflower-search-relevance,372nd
/cavaunpeu,word2vec/doc2vec,Anybody having success with the above? My team is getting no lift with these tools and I'm kind've perplexed as to why ..,1,None,12,Wed Jun 03 2015 05:05:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14502,/competitions/crowdflower-search-relevance,86th
/gastonar,Word2Vec + Forest Tree prediction Error,"Hi, I'm just testing the example in Part 2 of the tutorial, using the code in GitHub with Random Forest prediction and I receive the following error: ------------------------------------------- Fitting a random forest to labeled training data...Traceback (most recent call last): File ""Word2Vec_AverageVectors.py"", line 181, in <module> result = forest.predict( testDataVecs ) File ""/home/ubuntu/.local/lib/python2.7/site-packages/sklearn/ensemble/forest.py"", line 461, in predict X = check_array(X, ensure_2d=False, accept_sparse=""csr"") File ""/home/ubuntu/.local/lib/python2.7/site-packages/sklearn/utils/validation.py"", line 352, in check_array _assert_all_finite(array) File ""/home/ubuntu/.local/lib/python2.7/site-packages/sklearn/utils/validation.py"", line 52, in _assert_all_finite "" or a value too large for %r."" % X.dtype)ValueError: Input contains NaN, infinity or a value too large for dtype('float32').------------------------------------------- I'm using Ubuntu 15.04. Any suggestions? Thanks in advance.",0,None,2,Wed Jun 03 2015 06:07:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14504,/competitions/word2vec-nlp-tutorial,87th
/jaipurchamp,Clustering for Data,"Hi All, I am a newbie to Data Science . Have any of you applied k-means in the problem ? If yes, How did you divided the data into different clusters ?",0,None,1,Wed Jun 03 2015 10:41:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14505,/competitions/facebook-recruiting-iv-human-or-bot,None
/robby75,Difficulty in Combining Models,"Can someone explain in simple terms why following behavior is observed, as I am only a novice. I have segmented the training data and created different models for each. The minimum auc resulted is 0.75 but on combining the test data, auc obtained is 0.25!",0,None,3,Wed Jun 03 2015 11:23:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14506,/competitions/predict-west-nile-virus,522nd
/jopisch,Only R and Python?,"I am an 'oldie', don't use R and Python, but software packages (commercial and non-commercial). So, can I take part in this competition?",0,None,1,Wed Jun 03 2015 12:49:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14507,/competitions/predict-west-nile-virus,None
/debanjanbanerjee,Selection of features,"Dear All, Can you please tell me whether there are any optimum feature selection process in R ? I am currently working with Species and Date and they are not giving the best results. I would be grateful if you tell me about any good feature selection criterion. Take care Debanjan",0,None,1,Wed Jun 03 2015 12:54:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14508,/competitions/predict-west-nile-virus,1166th
/adibrastegarnia,Score calculation,"Hi, I have a question regarding scoring system. When we submit a file, the score will be calculated based on gold data ? Thanks",0,None,1,Wed Jun 03 2015 15:40:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14509,/competitions/icdm-2015-drawbridge-cross-device-connections,240th
/kingcu,How many competitions have been completed?,Greeting! Just curious how many competitions have been completed on kaggle so far since it started in 2010? Thanks.,0,None,6,Wed Jun 03 2015 15:56:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14510,None,None
/boyuanzhang,Submission error,"I came across a submission error every time. ERROR: Column 'BAD.CHECKS' was not expected (Line 1, Column 18) ERROR: Column 'DISORDERLY.CONDUCT' was not expected (Line 1, Column 46) ERROR: Column 'DRIVING.UNDER.THE.INFLUENCE' was not expected (Line 1, Column 65) ERROR: Column 'DRUG.NARCOTIC' was not expected (Line 1, Column 93) ERROR: Column 'FAMILY.OFFENSES' was not expected (Line 1, Column 142) I just read in samplesubmission and substitute the column 2 to column 40 by my prediction. The submission has 884262 rows and 40 columns. There is no column 65 93 142 that appeared in the error. Does anyone have some suggestion?",0,None,3,Wed Jun 03 2015 16:57:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14512,/competitions/sf-crime,306th
/datainsight,Team,Hello I am new to Kaggle. Looking to team up with folks to work on this projects.,1,None,8,Wed Jun 03 2015 17:17:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14513,/competitions/dat21-linear-regression-assignment,None
/jimenezluna,Slow querying,"This competition involves working with LOTS of data. The problem is joining or merging tables together. In case anyone's wondering... sqlite> SELECT COUNT(*) FROM trainsearchstream;392356948 (That took several minutes...) Yes, that's 392 million rows on a table. You can imagine how hard it is joining tables without indexes... or creating them. Dumping the entire database to a more powerful one, like MySQL might as well take a long time too, though it seems the best option. Well I might not use all the data so... why not sample? sqlite> SELECT * FROM trainsearchstream ORDER BY RANDOM() LIMIT 1000; I don't know how much time this can take. I think I'll end up working only with a subset of the data! Good luck guys.",0,None,6,Wed Jun 03 2015 18:11:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14514,/competitions/avito-context-ad-clicks,206th
/maucle,true labels,"Hi to all, For those interested, we are now providing the true labels for the test datasets. When you use this competition material, please do not forget to cite the original paper from which the data originated: Perrin, M., Maby, E., Daligault, S., Bertrand, O., & Mattout, J. Objective and subjective evaluation of online error correction during P300-based spelling. Advances in Human-Computer Interaction, 2012, 4. ( [Link]:http://www.hindawi.com/journals/ahci/2012/578295/) Best regards Maureen Clerc [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80787/2570/true_labels.csv",7,bronze,1,Wed Jun 03 2015 18:19:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14515,/competitions/inria-bci-challenge,None
/abhishek,Beating the Benchmark ;),Based on tinrtgu's code: https://www.kaggle.com/abhishek/avito-context-ad-clicks/beating-the-benchmark All credits to tinrtgu !,12,gold,37,Wed Jun 03 2015 18:42:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14516,/competitions/avito-context-ad-clicks,66th
/anjanaagrawal,Submission Error,"Hello, I am not able to submit the file.. Getting error that first column should be ""String"".. How do I make first column as ""String"" in excel. Earlier was getting an SYLK error.. Changed the first column from ID to Id.. Need help pl.",0,None,5,Wed Jun 03 2015 19:52:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14519,/competitions/smartphone-user-activity-prediction,14th
/ssw5075839,For those who achieved 1.00000,Can anybody give a hint on how they can do this? Any trick on feature engineering or which fancy algo did they use?,0,None,4,Wed Jun 03 2015 20:08:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14520,/competitions/titanic,None
/wendykan,Files updated,"To avoid confusion, the files have all been updated to remove the ',' in the crime category names. Please download the files again if you have the older version. Sorry for the inconvenience.",5,silver,2,Wed Jun 03 2015 21:29:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14521,/competitions/sf-crime,None
/kotomord,How to create SQL  Script?,"I cannot fork any existing SQL script and I cannot select ""SQL"" from possible languages WTХ?",0,None,3,Wed Jun 03 2015 22:19:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14522,/competitions/avito-context-ad-clicks,359th
/benhamner,Testing out non-inline RMarkdown,hi jerad!,0,None,11,Wed Jun 03 2015 22:39:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14523,None,None
/lethienhoa,Problem of not enough memory on cloud Amazon EC2 when tuning parameters,"Hi everybody, I'm struggling with the problem of tuning parameters and hope for listening to help. My laptop is a little bit old, CPU Intel 2 core 2.53 GHz, RAM 4 Gb. It's acceptable to run 1 time algorithms of Data Science with the data not too large but it turn out to be too low with this problem, especially when we need to find the optimal parameters for one particular algorithm. So, I use Amazon EC2 free with 32 cores + RStudio on it and hope it works faster but then, the server say that the allocated memory is not enough . I use method gbm and tuning parameters by package caret with 200 times of cross-validation and the parameters are as followed: gbmGrid <- expand.grid(.interaction.depth = (1:5) * 2, .n.trees = (1:10)*25, .shrinkage = .1) The program took me ~ 2.5 days and then it bugged. Since I know that on these problems, people often use others models like H20, Xgboost,... but the package caret in R is just too nice to do tuning parameters and I'd like very much to give it a try. At least, I want to test if this package is good enough comparing to other package for the next problems. I don't know how you guys can fight with this problem ? Buy an account cloud with more memory or buy another stronger computer (CPU, GPU) and wait a little bit longer (even for weeks...) ? Can you share with us the usual ways you do to get the good tuning parameters ? I'm very curious about this. Thanks in advance [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80830/2571/GBMtunning-Caret.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80830/2572/GBMtunning-Caret.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/80830/2573/GBM-Tunning-Caret.R",0,None,10,Thu Jun 04 2015 00:17:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14524,/competitions/crowdflower-search-relevance,355th
/eudyman,Submission error,"My submission has the correct number of rows, 22513 like the error says. I've double checked, triple checked. What can I do?",-1,None,3,Thu Jun 04 2015 04:12:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14527,/competitions/crowdflower-search-relevance,1012th
/musicmilif,GLM with poisson family,"Though Poisson family is not suitable for this data, but no matter in LB or CV Poisson family gives better prediction than binomial family. Ans I just upload my R code on script [Link]:https://www.kaggle.com/musicmilif/predict-west-nile-virus/glm-with-poisson-family-lb-0-74826 (run error in script, but can run in R) This simple glm got 0.74826 on LB!!! And I've tried some PCA and some feature of those separated rows because of NumMosquitos bigger than 50. This gave better LB score~!",4,bronze,10,Thu Jun 04 2015 04:39:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14528,/competitions/predict-west-nile-virus,27th
/girmak,Random forest 0.73+,[Link]:https://github.com/Girmak/MachineLearning/blob/master/wNileVirus.r https://www.kaggle.com/girmak/predict-west-nile-virus/h20-randomforest-0-73,2,bronze,2,Thu Jun 04 2015 08:33:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14529,/competitions/predict-west-nile-virus,385th
/retep007,Variance,"Hey guys, have you taken a look specificly at variance ? given all posible ratings 20x3 Array: 1 1 1 1 1 2 1 1 3 1 1 4 1 2 2 1 2 3 1 2 4 1 3 3 1 3 4 1 4 4 2 2 2 2 2 3 2 2 4 2 3 3 2 3 4 2 4 4 3 3 3 3 3 4 3 4 4 4 4 4 and variance for them 1.0 0.0 1.0 0.471405 1.0 0.942809 1.0 1.41421 2.0 0.471405 2.0 0.816497 2.0 1.24722 3.0 0.942809 3.0 1.24722 4.0 1.41421 2.0 0.0 2.0 0.471405 2.0 0.942809 3.0 0.471405 3.0 0.816497 4.0 0.942809 3.0 0.0 3.0 0.471405 4.0 0.471405 4.0 0.0 there is no possible way how to get 1.166 value in train.csv 7 row(cunting head)",0,None,4,Thu Jun 04 2015 08:42:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14530,/competitions/crowdflower-search-relevance,649th
/pakozm,Paper explaining the data generation,"I think it can be interesting to all competitors to read the paper explaining how we generated this data. Additionally it includes ideas to approach this task by means of clustering and neural networks. F. Zamora­Martinez, S. España­Boquera and M. J. Castro­Bleda. Behaviour based Clustering of Neural Networks applied to Document Enhancement, in: Computational and Ambient Intelligence, pages 144­-151, Springer, 2007.",4,bronze,6,Thu Jun 04 2015 10:14:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14531,/competitions/denoising-dirty-documents,None
/petercooman,Scripts: submission file not showing up in Output?,"I wrote a script to predict the crime categories, but my submission file is not showing up in the Output panel. https://www.kaggle.com/petercooman/sf-crime/odds-based-on-pddistrict I generated the file with csv_write(). I know it exists in the working directory based on a log output of dir(). Can anybody tell me what I'm doing wrong here? Thanks!",0,None,6,Thu Jun 04 2015 11:09:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14532,/competitions/sf-crime,1254th
/del=449e9312f3d24c9b,vanity urls broken,,-9,None,3,Thu Jun 04 2015 11:59:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14533,None,None
/chuckbolin,Creating the submission file - Using R?,"Hi, On the first day of this challenge I built a rough solution to the problem but couldn't figure out how to build a submission file. I'm still learning R so this may be elementary to many of you. Do any of you have suggestions in R for taking the data from each image pixel and creating a submission 'id' string such as ""102_12_400"" to represent image id, row and column? I naturally went to the nested 'for loop' and ended up collecting old age social security benefits while waiting for the first image data to generate. :) I then starting processing entire vectors at one time from an image matrix. The timing was much more reasonable however I could not figure out how to extract row/column indices for the submission id value so that its fast. As I write this it occurs to me that I need to create a vector and preload with this string data since I know the size of the image and the image filename. I could then populate another vector with the 'value' data. After this I could combine them into a data.frame and write to a file. I'll give it a try again this evening. Any ideas? Any packages? If you have some simple or elegant code I would really be appreciative. Thanks, Chuck Bolin",0,None,4,Thu Jun 04 2015 19:20:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14534,/competitions/denoising-dirty-documents,136th
/viccrome,Best completed competitions,"I'm new to Kaggle (and relatively new to Machine Learning) and would like to try one or two of the completed competitions before trying a ""live"" competition so that I can look at posted solutions and see how others approached the problem while I work on them. I have done the Titanic intro competition. My preference is to work on exercises that have ""natural"" features (so not some of the image identification problems but for example the recently completed bike sharing challenge that has days of the week etc). I'm also more focused at this point with getting comfortable with data prep and feature identification and dropping that into Random Forests or SVM rather than testing / tuning many algorithms. I would like to use Python and scikit-learn as well if that makes a difference. Any of the completed contests that were your favorites that you'd recommend?",4,bronze,3,Thu Jun 04 2015 21:02:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14535,None,None
/drvivi,Haversine distance formula check,"Hello, I noticed that in the evaluation script of the twin competition there seems to be a mistake in the Haversine distance [Link]:https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i/details/evaluation (all angles should be in radians, ie l1 -> l1 * pi / 180 and l2 -> l2 * pi /180). Since many of us might be using scripts that use that formula I thought I'd share it.",1,bronze,1,Thu Jun 04 2015 23:28:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14538,/competitions/pkdd-15-taxi-trip-time-prediction-ii,35th
/domcastro,Will the Russian break python?,Do I need to use any special unicode encoding to one-hot-encode the Russian? I've googled it but can only find stuff for Windows not Mac,2,bronze,5,Thu Jun 04 2015 23:51:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14540,/competitions/avito-context-ad-clicks,119th
/benhamner,Kappa intuition,"Triskelion - nice examples! From this, I gather: Relative to MAE and accuracy, Kappa penalizes an extreme difference far more than many small differences. Accuracy penalizes one extreme difference far less than many small differences, and MAE is somewhere between the two on this. Kappa seems to have the correct behavior relative to MAE and accuracy for measuring inter-rater reliability. Accuracy and MAE are not sensitive to distribution changes, but Kappa is. This means that accuracy and MAE numbers are more directly comparable across different sets of raters (e.g. two raters' Kappa scores could vary much more dramatically based on the set of documents under consideration, whereas MAE and accuracy will tend to be more robust under this scenario).",9,silver,2,Fri Jun 05 2015 02:49:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14543,None,None
/,,,2,bronze,4,Fri Jun 05 2015 05:40:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14545,None,None
/jiaseny,Submission File Format,"Hi, According to the contest instructions: ""For each device in the test set (dev_test_basic.csv), you must provide a list of cookie ids (from cookie_all_basic.csv) which you believe belong to the person using the given device_id."" So are we allowed to predict multiple cookie_ids for each device_id even though sampleSubmission.csv only assigned one cookie_id to each device_id? Thanks!",0,None,2,Fri Jun 05 2015 06:40:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14546,/competitions/icdm-2015-drawbridge-cross-device-connections,205th
/nlubchenco,enhanced,"Thanks for posting this, have been meaning to try out Lasagne. Also cool to see some of the data preparation as well. However, I'm running into this error when trying to run locally: TypeError: cost must be a scalar. I have Theano 0.7 and I installed Lasagne from source from the github page. Do i need different versions or is something else awry? Thanks for any suggestions. Here are the versions i see when using pip install from the Lasagne dir: Lasagne nl$ pip install -r requirements.txtRequirement already satisfied (use --upgrade to upgrade): Theano==0.7 in /usr/local/lib/python2.7/site-packages (from -r requirements.txt (line 1))Requirement already satisfied (use --upgrade to upgrade): numpy>=1.6.2 in /usr/local/lib/python2.7/site-packages (from Theano==0.7->-r requirements.txt (line 1))Requirement already satisfied (use --upgrade to upgrade): scipy>=0.11 in /usr/local/lib/python2.7/site-packages (from Theano==0.7->-r requirements.txt (line 1))",0,None,13,Fri Jun 05 2015 06:50:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14547,None,None
/berniekruger,LogLoss,"I know the logloss metric have been discussed numerous times on here, but I have another question please. I see from the leaderboard that the top score is already at 2.3-ish, with the Benchmark around 33-ish. Please excuse my ignorance, but … Am I correct in thinking that the best logloss could be 0? So if we are already at 2.2 there is not much room for improvement? Even a fairly basic normalised crime count by district (as per the posted script) yields good results around the 2 mark? Or is an improvement of even 1 enormous in the greater context? I guess my question tries to answer if there is any value going through the effort of deriving new data, e.g. geospatial variables, hours etc. and building huge RF or NN models to only score worse than the “basic method”? Secondary to this, if this was a real-life attempt to predict future crime occurrences (which I know is not this simplistic), what is the difference between a logloss of let's say 2 and a logloss of 30. Does it mean we would incorrectly classify 5% or 50% of crimes? And lastly what logloss difference would have a real impact on actual figures, if this was hypothetically used for real crime category by area prediction, what would be acceptable (if one can quantify it)? Cheers BK",1,None,2,Fri Jun 05 2015 06:51:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14548,/competitions/sf-crime,None
/anlthms,Quick shallow MLP with neon!,Doesn't work. Looks like the dockerfile changes haven't propagated yet. EDIT: The script works now. LB score is 0.97829. Takes a few minutes to run - not as quick as I thought. Would take 10 seconds on a Maxwell GPU.,0,None,6,Fri Jun 05 2015 07:10:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14549,None,None
/raminia,IP address,"Does anonymization of IP addresses maintain the geographic information in the IP address? For example, are the IP addresses from a certain city similar, at least in part, after anonymization?",1,bronze,1,Fri Jun 05 2015 08:33:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14550,/competitions/icdm-2015-drawbridge-cross-device-connections,252nd
/bra2ed,Beat the benchmark with a simple script (without using any machine learning techniques),"Hi, This simple R script was able to beat the benchmark while only using two values from the data set, ""query"" & ""product_title"". The main concept is to check the percentage of the words in query that appears in the product_title. At first, the script looks for the distribution of those percentages for each category in order to create something like a threshold for each relevancy level. Link: https://www.kaggle.com/bra2ed/crowdflower-search-relevance/simple-statistic-approach-benchmark Looking to hear your feedback. Best, Raed",3,bronze,4,Fri Jun 05 2015 10:44:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14552,/competitions/crowdflower-search-relevance,784th
/swamygok,Mean Haversine distance is a bad metric for evaluation!,Mean Haversine distance is a bad metric for this competition. One outlier (say where the difference is > 50 km) is enough to skew the score for the entire test set. So a solution that does well on this one test set and does poorly on the remaining 319 might still end up with a higher score. Perhaps the median would be a more appropriate quantity.,5,silver,1,Fri Jun 05 2015 14:57:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14554,/competitions/pkdd-15-predict-taxi-service-trajectory-i,21st
/yejiming,Join devices/cookies with ip using python,"Attached python files can join devices/cookies table with ip table. Then you can find most of the negative cases have zero ips in common, and most of the positive cases are non-zero. I think this could be helpful. These data makes me crazy.. lol Edit: Add preprocess.py to filter out negative cases that have no IP in common. And create stand alone train/test csv files. Now we can build models based on it... [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81004/2575/sort_ip.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81004/2576/append_ip.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81004/2578/preprocess.py",12,silver,13,Fri Jun 05 2015 15:17:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14555,/competitions/icdm-2015-drawbridge-cross-device-connections,243rd
/ringring,Users in device_train_basic is a subset of users in cookie_basic.,"I found an interesting point about the data sets. There are 1555794 distinct users in the cookie_basic table and 139419 distinct users in the device_train_basic table. The set of users in device_train_basic is a subset of that in cookie_basic table. I want to know if any sampling techniques are performed on the user side? Or, 1416375 (1555794-139419) users only have cookies in the real data.",3,bronze,15,Fri Jun 05 2015 15:37:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14556,/competitions/icdm-2015-drawbridge-cross-device-connections,27th
/tavish,Anyone wants to team up??,I just started working on this problem. Drop me a note if you want to team up to crack this problem!,0,None,6,Fri Jun 05 2015 16:00:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14557,/competitions/pkdd-15-predict-taxi-service-trajectory-i,14th
/girmak,[Deleted Kernel],,2,bronze,9,Fri Jun 05 2015 16:08:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14558,None,None
/olivetti,Connecting Crimes,"This script tries to find the patterns of crime, supposing crimes that happens nearby and within a time period are committed by the same criminal.",2,bronze,2,Fri Jun 05 2015 16:11:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14559,None,None
/cavaunpeu,Spinning up a competition-ready EC2 instance in a line of code,"I'm often working on a competition on my local machine, and I get to a point where I'd like to train dozens of models overnight. As such, I'd like to be able to do the above. Preferably, a bash script run as: create_ec2 --instance_type < .. > --username < .. > --password < .. > --upload_dir < .. > --ami < .. > , where upload_dir is a folder I've been working in locally with Kaggle code, data, etc. that will be scp'd to the instance within this script. I could write this myself. I do not want to. Is there anything similar lurking around in the Kaggle community? Has this problem been solved before?",1,bronze,2,Fri Jun 05 2015 19:42:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14562,None,None
/jimthompson,MacBook Pro Running Hot With Machine Learning (ML) Software,"I am trying to get a sense of what is normal when running ML software on the MacBook Pro (MBP). I recently converted to a MBP laptop (8 core processor, 16 GB RAM) from Windows. I am new to the Mac world. While running some ML algorithms that support parallel tasks, I find the MBP running hot. I’ve installed iStat Menus. iStat shows my processor temperature in the 96 to 98 degree Celsius range. The fans are running in 5100 to 5200 rpm range. As I understand the technical spec for the i7 processor, the maximum allowed temperature is 105 C. When I am not running any ML software and doing normal stuff like web browsing, word processing, watching Netflix :-), the temperature range is in 45 to 55 C range. I’ve made several runs ranging from a few minutes to couple of hours with the MBP in the 96 to 98C range with no apparent ill effect. My questions: If you have a sensor like iStat on your MBP, how hot does your MBP get? How long are your ML runs? Am I doing long term damage to my MBP by running in the 96 to 98 C range for extended period of times? Do you have a recommendation on cooling the MBP? Any favorite laptop coolers?",0,None,1,Fri Jun 05 2015 20:43:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14563,None,None
/bigdataguru,Random Forest Issues (Two column output),"I was getting negative probability with Random Forest because WmvPresent was integer so I converted WmvPresent to factor using as.factor. Now when I run Random Forest everything goes well but the predictive output I am getting contains two column in the output file WnvPresent.0 WnvPresent.1 One has all 1s and other has all zeros. Here is my code: for2 <- randomForest(WnvPresent ~ Species + Weekday + Month+ Longitude + Latitude + Tmax.x+Tmin.x+Trap+NumMosquitos+PrecipTotal.y, data=train2, ntree=200, nodesize=25) predfor2 <- predict(for2, newdata=test1, type=""prob"") Any suggestions??",0,None,3,Fri Jun 05 2015 22:01:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14565,/competitions/predict-west-nile-virus,734th
/jturkewitz,Combining Models,"Does anyone know of a good tutorial or example code (preferably python) that discusses how to combine models? I see a lot of top scorers are combining models, but I am struggling to do so effectively.",0,None,2,Fri Jun 05 2015 23:05:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14566,None,None
/benhamner,UTILITY - Write SVD components to file,It looks like the test_svd.csv file isn't getting written - have you tried debugging this? Does it work locally?,0,None,4,Fri Jun 05 2015 23:07:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14567,None,None
/datacanary,Scripts On Your Profile,"We've just introduced a new look to the front tab of Kaggle's user profiles: it now showcases the top three [Link]:https://www.kaggle.com/scripts you've created. So when people come to your Kaggle vanity URL, they'll be just one click away from seeing your coding prowess in action. The top three scripts are chosen automatically according to their ""hotness"" ranking, which is a function of recent popularity. Scripts box looking a bit empty? Maybe it's time to take a swing at [Link]:https://www.kaggle.com/c/avito-context-ad-clicks/scripts, [Link]:https://www.kaggle.com/c/crowdflower-search-relevance/scripts, [Link]:https://www.kaggle.com/c/predict-west-nile-virus/scripts…",3,bronze,4,Fri Jun 05 2015 23:09:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14568,None,None
/vineet20mlresearcher,New to kaggle and ML,I am a novice to the dynamic world of data science. I want to enter this kaggle competition arena. I have some knowledge on machine learning algorithms and tools such as weka. Can any one guide which competition I should begin and what tools and techniques I should learn to start my journey?? Thanks,0,None,3,Fri Jun 05 2015 23:12:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14569,None,None
/benhamner,Vehicle Thefts - Drops Off After 2006,"Fascinating. I wonder what changed - that pattern is so sharp it looks like it could be an artifact in something else vs. an actual change in behavior. For example, maybe the reporting or classification of vehicle thefts changed substantially starting in 2006.",4,bronze,3,Sat Jun 06 2015 05:14:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14574,None,None
/robby75,Data Cleaning?,"Three factors mess up this problem: 1) Spraying: its range and efficacy wrt space and time is apparently left to us. Algorithms cannot compute the area covered and perhaps spraying is killing only the mosquitoes which cannot fly well due to virus or age. By next week manual observation shows both virus and mosquitoes are hunky and dory. 2) Multiple Traps: very few of which reach the limit of 50 and different traps in same location seem to attract different species. 3) Multiple Mosquito Species: Some of which are immune to the virus. Some cleaning can be done with rf or gam, however the result is not impressive as even top 10% teams have not all crossed the barrier of 0.8 auc. With data cleaning I feel much higher auc could be possible. Can some one share clues about cleaning the data?",0,None,1,Sat Jun 06 2015 08:18:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14575,/competitions/predict-west-nile-virus,522nd
/whitetigersfu,Error message on LB,"I just put in a submission, and the result I got was this: ""Your submission scored NULL, which is not an improvement of your best score. Keep trying! "" ummm.... what?",0,None,2,Sat Jun 06 2015 09:44:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14576,/competitions/predict-west-nile-virus,317th
/debanjanbanerjee,How to get integer values as Output,"Dear All, Here is a piece of my code here below. library(rpart) fol <- formula(""xxxxxxx"") model <- rpart(fol,method = ""class"" , data=train) predictions_rpart <- predict(model, data = test) Output ( I am giving just first five rows for your reference) > predictions_rpart[1:5,] 0 11 0.961125 0.0388752 0.961125 0.0388753 0.961125 0.0388754 0.961125 0.0388755 0.961125 0.038875 Can you help me to produce the output value as either 0 or 1 instead of producing probability values like I am getting currently. That will be of great help. Thanks and regards with best wishes Debanjan",0,None,1,Sat Jun 06 2015 11:01:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14579,/competitions/predict-west-nile-virus,1166th
/agrin88,histCTR,"I don't know how it is computed, but it clearly reminds me Russian government elections. I computed statistics on relations of histCTR and the probability of click. In the attached file histCTR is the x-axis and the actual probability of click is the y-axis. You can surely see these strange jumps around 0.05, 0.1 and 0.15 histCTR values. I still can't understand how to write my own script in the scripts section so I also upload my python scripts here (you can run them simply with ""python postprocessing.py"") [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81102/2583/histCTR.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81102/2584/main.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81102/2585/postprocessing.py",4,bronze,3,Sat Jun 06 2015 11:38:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14580,/competitions/avito-context-ad-clicks,55th
/solorzano,Competition design flaws,I think there are a couple flaws in the design of this competition: 1) The nature of the noise applied to the training data is different to that of the test data. 2) There's not a lot of variance in the type of noise. Many images seem to share the same type of noise.,3,bronze,4,Sat Jun 06 2015 18:18:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14585,/competitions/denoising-dirty-documents,None
/jellishero,Histograms of Crime by Day/District/Year,"Hi. What did you use the readr, lubridate, and reshape2 package for?",1,None,2,Sat Jun 06 2015 21:45:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14591,None,None
/mpekalski,Postgres – Import Data – SQL Script,"In case somebody has a lot of disk space ;) and wants to load the data to Postgres I attach a script that creates all the tables with data types optimized for what the columns contain (smallint or bit if posstible, or varchar of minimal size). Also, tables that have rpimary keys are clustered on them, and analyzed. Created indexes have FILLFACTOR = 100 as I assume I will not update those tables. I do not remember how long does it take to load everything and create indexes as I run them step by step while writing the script, but I guess it will take several hours (I have an SSD drive). One more thing, if you want to use the script make sure you change paths to files. Also you may want to remove the TABLESPACE – I have two SSD drives, and to save space I have some tables on one of them and some on the other one. The whole dataset after importing, sorting, indexing takes about 79GB (indexes are quite heavy). Postgres as such does not allow for arbitrary compression. It decides by itself, another option is to enable it on partition – I have not. If you need any more information about the script/DB feel free to ask. Also if you have any tips how to improve the DB's querying perfromance I will be more than happy to learn something new. :) NOTE: as I understand dictionaries that appear in some of the datasets cannot be stored in Postgres as JSON as the DB does not recognize the numerical keys properly – it expects them to be quoted strings. It makes things a bit harder to work with, but not impossible to query. EDIT: I have no idea why there are two versions of the script attached, I added one line to the first one, removed it, and attached again. I expected to see only one of them, but it looks like both of them were uploaded and attached to the post. EDIT2: Sorry for the mess, I missed one semicolon in the code and one table. New version, 0.2 attached. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81137/2587/avito.sql [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81137/2588/avito.sql [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81137/2589/avito_v0.2.sql",9,silver,1,Sat Jun 06 2015 22:51:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14592,/competitions/avito-context-ad-clicks,None
/justfor,Metric error (QuadraticWeightedKappa): Gives NaN,"Hello, I am using the R-package ""Metrics"" and have difficulties with the metric. As described in the evaluation section the Metric quadratic weighted kappa is to be used. The package ""Metrics"" delivers this metric. Example where the metric fails. rater.a = c(2, 2, 2, 2, 2, 2) rater.b = c(2, 2, 2, 2, 2, 2) kappa = ScoreQuadraticWeightedKappa(rater.a, rater.b,1,4) kappa Result is ""NaN"" Any idea why this happens and how to resolve this issue? Thanks bye the way: here is the code from Ben Hammer 's github repo: ScoreQuadraticWeightedKappa = function (rater.a , rater.b, min.rating, max.rating) { if (missing(min.rating)) { min.rating = min(min(rater.a),min(rater.b)) } if (missing(max.rating)) { max.rating = max(max(rater.a),max(rater.b)) } rater.a = factor(rater.a, levels=min.rating:max.rating) rater.b = factor(rater.b, levels=min.rating:max.rating) #pairwise frequencies confusion.mat = table(data.frame(rater.a, rater.b)) confusion.mat = confusion.mat / sum(confusion.mat) #get expected pairwise frequencies under independence histogram.a = table(rater.a) / length(table(rater.a)) histogram.b = table(rater.b) / length(table(rater.b)) expected.mat = histogram.a %*% t(histogram.b) expected.mat = expected.mat / sum(expected.mat) #get weights labels = as.numeric( as.vector (names(table(rater.a)))) weights = outer(labels, labels, FUN = function(x,y) (x-y)^2 ) #calculate kappa kappa = 1 - sum(weights*confusion.mat)/sum(weights*expected.mat) kappa}",1,bronze,4,Sun Jun 07 2015 01:10:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14593,/competitions/crowdflower-search-relevance,41st
/heldervelez,"On the use of mariadb, monetdb and orange package ","The license of the [Link]:http://orange.biolab.si/license/ is mainly GNU General Public License as published by the Free Software Foundation; either version 3.0 of the License, or (at your option) any later version. The [Link]:https://mariadb.com/kb/en/mariadb/mariadb-license/ (mysql fork) is GNU General Public License, version 2. The [Link]:https://www.monetdb.org/Legal/MonetDBLicense (in mem database) is a derivative of the Mozilla Public License (MPL) Version 1.1, where the difference is that all references to ""Mozilla"" and ""Netscape"" have been changed to ""MonetDB"", and that the License has been made subject to the laws of The Netherlands. I'm comfortable with SQL and I'm preparing the data with the mariadb database. For performance I'm using the monetdb database, too. The package I'm intending to use for data mining is the orange one (or the WEKA) . I'd like to know if the use of the above open source software will allow to collect the prize money, on such eventuality ;). Thank you.",0,None,1,Sun Jun 07 2015 01:47:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14594,/competitions/predict-west-nile-virus,None
/wikunia,Correct RMSLE ? 0.48 vs 1.02,"Hey guys can some explain this: I've trained 1,000,000 trips and a cross validation set of 700,000. And I've got a RMSLE score of 0.48, after uploading the leaderboard shows me a 1.02. Do you experienced kind of the same? This is my RMSLE function in Python. pre = Predicted return np.sqrt(1.0/len(pre)*np.sum([np.log(pre[p]+1)-np.log(real[p]+1) for p in range(len(pre))])) Thanks for any tips!",0,None,1,Sun Jun 07 2015 10:40:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14596,/competitions/pkdd-15-taxi-trip-time-prediction-ii,82nd
/robby75,Optimization Techniques?,"This post takes further doubt expressed by someone on this forum. I am only a novice and wish to genuinely learn. It is not at all intended to offend any one. The top 5 of the Leader Board require 80+ attempts. With enough home work 10 trials are adequate to check the leads found in Text Books. Moreover most of the Toppers rarely participate in discussions. Is it possible that package like ""ucminf"" is being used to improve the score? If so can this technique be part of Data Science? In my last competition there was one fellow who straight jumped the head of public board and was within top 5 of the private board in just 7 attempts. Does this indicate collusion of the parties and not collaboration? Will the staff please clarify if the final prize winning script be made public? Please forgive me if the post is too simplistic.",0,None,5,Sun Jun 07 2015 15:52:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14597,/competitions/predict-west-nile-virus,522nd
/ngutten,Beat the benchmark?,"Given the current small pool of participants I figured I'd rather ask than presume. My current score is from a very simple high pass filter that I was going to post as a beat-the-benchmark script, but because of the current number of entries it happens to be in the top 10. This is also a Knowledge competition with no rank impacts, which I'd interpret to be more open to collaborative efforts. But I don't want to piss people off. So, how do people feel about me posting this?",1,bronze,7,Sun Jun 07 2015 18:40:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14599,/competitions/denoising-dirty-documents,102nd
/datamagic,Calculation of Points - Clarification,"I did not accrue any points for the wal-mart competition, but I'm not sure why. My ""hypothesis"" is one of the following: I was anonymous for that competition I did not explicitly select 2 models for final submission. I didn't think it was necessary to select models per #2 (I thought the default was the 2 highest scoring models). Any ideas? Not really a big deal... just more of a curiosity. thanks!",0,None,3,Sun Jun 07 2015 20:22:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14600,None,None
/dfjmulder,AdsInfo.IsContext - field relevant?,Of all the rows in the AdsInfo dataset less then 1% of the IsContext field is marked True. This field is also not documenten in the data description. Is it to be ignored?,2,bronze,1,Sun Jun 07 2015 21:08:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14601,/competitions/avito-context-ad-clicks,None
/amadord903,SF Crimes Shiny Dashboard,Made this interactive visualization of San Francisco crimes from 2010 to 2015 using Shiny Dashboards and the Leaflet package: https://danielamador.shinyapps.io/sfcrimemap/ Enjoy!,4,bronze,3,Sun Jun 07 2015 23:03:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14603,/competitions/sf-crime,None
/eicholtz,MATLAB,"I get the sense that [Link]:http://www.quora.com/How-useful-is-Matlab-for-Kaggle-as-compared-with-R-and-Python for most Kagglers, but I find it can be quite useful for testing various image processing and machine learning algorithms quickly, so I thought I'd start this thread. Any other folks using MATLAB for this problem?",1,bronze,1,Mon Jun 08 2015 00:30:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14605,/competitions/denoising-dirty-documents,81st
/ask788,Feature engineering?,"Aside from the obvious date ones, what are some creative ways to explore the data set for additional features? I've not been having too much luck with feature engineering especially with the weather variables",0,None,1,Mon Jun 08 2015 03:01:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14606,/competitions/predict-west-nile-virus,44th
/debanjanbanerjee,Why use RandomForest ?,"Dear al, It seems to me that using RandomForest as prediction method for this particular problem is very popular with the participants. Why is this popularity of RandomForest ?? Thanks and regards with best wishes Debanjan",0,None,5,Mon Jun 08 2015 09:25:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14608,/competitions/predict-west-nile-virus,1166th
/yooona,understanding problem,"Hi, I struggle to understand a thing : the problem is described as a ""cross individual identification"" but finally it's asked to link devices and cookies. Then I'm wondering how Drawbridge plans to use this result to answer its problem since it seems to be different (for example, one device is usually used by different persons) Also, I had a look at the set dev_train_basic.csv and I observed that there are very few devices which correspond to the same drawbridge handle (I remember about 50 drawbridge handles are linked with more than 2 devices). It seems very few, and in contradiction with the aim of the competition which is to identify devices which belong to the same person. I'm looking forward to your explanations. Thanks in advance, Yohann",7,silver,32,Mon Jun 08 2015 11:29:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14609,/competitions/icdm-2015-drawbridge-cross-device-connections,6th
/rudikruger,Prevalent Crimes in San Francisco,Suddenly feel like playing SimCity again :),10,silver,1,Mon Jun 08 2015 12:23:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14611,None,None
/christophs,Train and Testset different number of entries (3675 vs 3677),"Hi, when I want to apply a scoring function in python scikit learn, I get an error that the arrays have an inconistent number of samples:Train: 3675 and Test 3677Any advice on how I should handle this? Thanks in advance, Christoph",0,None,4,Mon Jun 08 2015 13:05:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14612,/competitions/smartphone-user-activity-prediction,11th
/operdeck,How to interpret Category.tsv,"Hi - I'm a little unclear on the correct interpretation of the Category table. I was assuming it represents a sort of tree with the ad or product categories. But if I follow a 'chain' of CategoryID --> ParentCategoryID I get cycles, e.g. 0 --> 10 --> 8 --> 2 --> 12 --> 6 --> 4 --> 2 again So I guess I'm misinterpreting things. Can someone explain? Thanks!",4,bronze,2,Mon Jun 08 2015 17:18:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14613,/competitions/avito-context-ad-clicks,41st
/lijunjie,Can a CookieID belong to deviceIDs of both train and test set,"Many cookieIDs and deviceIDs are already associated with users in cookie_basic.csv and device_train_basic.csv, with this information we can find the cookies' related devices. My question is: Is it possible that these labeled cookieIDs also belong to deviceIDs that in the device_test_basic.csv?",3,bronze,1,Mon Jun 08 2015 17:33:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14614,/competitions/icdm-2015-drawbridge-cross-device-connections,4th
/mlandry,starterPy,"This script was just to get the processed data, to see if it could be worked on with other methods. The one thing that is missing is the targets, which I assumed to be obvious until I noticed that the output training data size does not match the input training size. That alone makes this work flow interesting, and just running the code without looking not as instructive unless you understand that piece--I'm guessing it's the error-correcting codes, but not sure. If you care to run it, you'll have to run it once as it is, to get the testing data frame. Then, comment the last line out (203) and uncomment the prior line (202), making sure to maintain python indentation. And you'll want to get the targets out somehow.",2,bronze,2,Mon Jun 08 2015 18:54:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14617,None,None
/benhamner,Fighting Crime with Keras,"[quote]ValueError: 'SEX OFFENSES, FORCIBLE' is not in list Smerity - a similar error bit me when I fiddled with this dataset. Some of the categories in the Category column in the data contain commas, for example ""SEX OFFENSES, FORCIBLE"". However, the submission header has these fields without commas: ""SEX OFFENSES FORCIBLE"". Dropping all the commas from the categories should fix this.",1,None,10,Mon Jun 08 2015 19:37:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14620,None,None
/mylesoneill,Tutorial 1: Gender Based Model (0.76555),"I'm new to data science, so I thought I'd work through the tutorial content for Titanic using Python and Kaggle Scripts. Hopefully this is useful for others who are completely new like me! This script completes the very first tutorial exercise of creating a submission file that predicts men as dead and women as alive, not a great model but its a start!",2,bronze,3,Mon Jun 08 2015 19:55:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14621,None,None
/hasanmujtaba,CULEX ERRATICUS- Training not sufficient,"The species ""CULEX ERRATICUS"" is present in only one row/datapoint in training file but in test file it is quite common.",0,None,1,Mon Jun 08 2015 21:20:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14622,/competitions/predict-west-nile-virus,144th
/apayne,"Is uploading models, required for this competition?","Hi, I was wondering whether it is necessary to upload models for this competition. This is my first competition, hence I have no idea about the utility of it.",0,None,2,Mon Jun 08 2015 21:46:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14623,/competitions/facebook-recruiting-iv-human-or-bot,677th
/nivrac,Post completion,Can we still submit to verify our scores?,0,None,4,Tue Jun 09 2015 02:04:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14626,/competitions/facebook-recruiting-iv-human-or-bot,569th
/ask788,Tied position ranking question?,This is only my 3rd competition here so I apologize if this is answered elsewhere. I noticed I am ranked 8 on the private LB but tied exactly with the number 7 person. It doesn't really bother me that much but what if this was a tie for 3 or 4 in a competition with prize money or someone who just missed out on the top 10 (and potential Master status) because of a tie. Can someone please elaborate on how ties are broken on the private LB?,1,None,2,Tue Jun 09 2015 02:52:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14627,/competitions/facebook-recruiting-iv-human-or-bot,8th
/smallyellowduck,share your secret sauce,"Here's a little blurb about how I approached feature generation and cross-validation for this problem: http://small-yellow-duck.github.io/auction.html code: https://github.com/small-yellow-duck/facebook_auction I used sklearn's RandomForestClassifier. The most useful features I identified were: the median time between a user's bid and that user's previous bid the mean number of bids a user made per auction the entropy for how many bids a user placed on each day of the week the means of the per-auction URL entropy and IP entropy for each user the maximum number of bids in a 20 min span the total number of bids placed by the user the average number of bids a user placed per referring URL the number of bids placed by the user on each of the three weekdays in the data the minimum and median times between a user's bid and the previous bid by another user in the same auction. the fraction of IPs used by a bidder which were also used by another user which was a bot Cross-validation was a bit tricky: I did CV 100 times on different 80-20 splits. My mean CV score was almost the same (+/- 0.003) as my final leaderboard score. edit to answer some further questions: In order to convert the time scale to hours, I made a bids/unit time histogram and looked at the periodicity - bidding volumes cycled with a period of one day. There are pretty graphs and more details on my github page. A concrete example of the entropy is the IP entropy: N!/(N_{IP1}! N{IP2}!... N{IPn}!). N is the total number of bids and N_{IPn} is the total number of bids placed from the nth IP. (Because the entropy is a large number, I used the log of the entropy.) The entropy is a measure of how both randomly distributed the bids are, how many IPs there are and how many bids there are. A bidder that places all their bids from the same IP has an entropy of N!/N! = 1. I used the simple average of five RandomForestClassifiers (each with a different value for the initialization parameter, random_state) to generate the predictions. Thanks to everyone else who shared their approaches! I thought that leaving out the bots with only one bid was a clever idea. And I was surprised to see that people got mileage out of the device type.",71,gold,38,Tue Jun 09 2015 03:33:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14628,/competitions/facebook-recruiting-iv-human-or-bot,2nd
/rinzewind,Share your codes!,"First of all, congratulations to the winners. Second, post your code! [Link]:https://bitbucket.org/rinze/kaggle-fr4; I scored 0.92401 on the private leaderboard (higher AUC than I had on the public one, but I dropped several positions anyway). I have written a [Link]:http://rinzewind.org/blog-en/2015/my-take-on-kaggles-facebook-recruiting-iv-human-or-robot.html detailing some of the stuff I did. See you on the next challenge.",8,silver,5,Tue Jun 09 2015 03:37:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14629,/competitions/facebook-recruiting-iv-human-or-bot,180th
/lchiaying,Private LB scored on non-selected submissions?,"Is there a way to know our score on the private dataset for the submissions which were not selected for the final scoring? Or are we left to wonder ""what if I'd selected those other two models instead""? (Or in my case, ""what if I had remembered to select two models before the deadline""?)",1,bronze,1,Tue Jun 09 2015 05:16:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14630,/competitions/facebook-recruiting-iv-human-or-bot,74th
/marktk,A few questions,"Apologies in advance if these have been covered before, but I have a few simple questions. 1. Are we supposed to submit our prediction as a 1/0 and not a probability of the crime? Eg, each submitted case should have one ""1"" as the prediction (with the rest of the columns = ""0""), instead of each column in the submission having a probability of occurrence. 2. Can we use external data? San Francisco does not have wild weather swings that may effect crime as in other cities, but I would like to incorporate some weather data. 3. There are plenty of records where multiple crimes occur at the same place and time as others - does this represent multiple perpetrators, or one perpetrator committing multiple crimes, or unknown? Thanks in advance for any help. Mark",0,None,5,Tue Jun 09 2015 05:16:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14631,/competitions/sf-crime,None
/victoregb,Where I can find the SF map?,"I want to use the map of San Francisco as a background in a Basemap plot but I don't know where or how to download it. Could you tell me where is the sf_map_copyright_openstreetmap_contributors.txt file, o where I can find it? Thank you",4,None,6,Tue Jun 09 2015 10:23:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14632,/competitions/sf-crime,None
/jfraj0,Did anyone use time series features,"Hi, I did not have time much on this competition, so I mostly focused on all the bid times like linear fit of cumulative bids vs time and some frequency spectrum features with FFT. The most successful features were: linear fit slope and y-intercept of cumulative bids over time FFT spectrum linear fit y-intercept standard deviation of the FFT spectrum [Link]:http://en.wikipedia.org/wiki/Spectral_flatness Most search I have done, lead to time series extrapolations/predictions, not really classification. Which time series manipulations were most successful for you? Cheers!",0,None,2,Tue Jun 09 2015 14:16:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14633,/competitions/facebook-recruiting-iv-human-or-bot,344th
/altro92,Wrong lat/long coordinates,Train and test files have some examples with x/y coordinates: -120.5 90.0. The 90.0 coordinate means North Pole! How can it be?,0,None,5,Tue Jun 09 2015 15:27:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14634,/competitions/sf-crime,None
/shamitb,Word Vectors Method on Windows,Has anyone got the Word Vectors method (Part 2) working on Windows? Also have most of you used the Word Vectors method (Part 2) instead of the Bag of Words - Random Forest (Part 1) method? Is the Bag of words - Random Forest method less accurate than the Deep learning method in Part 2 of the tutorial?,0,None,6,Tue Jun 09 2015 15:47:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14635,/competitions/word2vec-nlp-tutorial,51st
/scorpion,"Same script and same score from the Leader board, how Kaggle will deal with them?","No offense, pure curious question for the leader board.",2,bronze,82,Tue Jun 09 2015 16:46:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14636,/competitions/predict-west-nile-virus,45th
/cursaner,Help needed from a novice,"I did the titanic competition R tutorial with datacamp.com, and now this is my first real competition. I have been having a lot of difficulty with the read.csv function. How can I load the datasets into R-Fiddle? Is there a url I can point to? It says that R-Fiddle cannot change the working directory when I try to point it to my local folder, unless I'm doing something wrong with the filepath. I tried going to Kaggle's wiki and have found it extremely unhelpful. This is the page on how to enter your first submission - https://www.kaggle.com/wiki/EnteringSubmission . I would love to fix it up but I have no idea what any of this means.. hence me wanting to read the wiki.",0,None,4,Tue Jun 09 2015 17:42:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14637,/competitions/sf-crime,None
/victoregb,San Francisco Map Top 9 Crime,"Basemap don't works on Kaggle or at least importing it gives ""ImportError: No module named 'mpl_toolkits.basemap'"" I still working on it. EDIT: Here is what the map looks like. [Link]:https://twitter.com/Victoregb/status/608335351950802945 EDIT2: It works!! It's not the satellite image I like so much, but it's a nice result. :-) Hope it will help you. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81364/2595/SF_Crime3.png",0,None,1,Tue Jun 09 2015 18:02:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14638,None,None
/wijnand,Poor result due to overfitting; how to prevent next time?,"I created a random-forest-model which performed really bad. I created some usual features like uniqueCountries, uniqueDevices, merchant etc. I also calculated for i.e. url how much of those url's where robots. After doing so I calculated the max per bidder for such an url. The idea was that if a bidder came from an url and that url was 100% robot then the bidder is also a robot. At the training set I got brilliant results :-), at the testset poor results. What do I have to do to prevent this in the future? I'd like to learn from this. I tried to lower the mtry-parameter, it didn't help. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81368/2593/facebook_ML.R",0,None,9,Tue Jun 09 2015 18:14:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14639,/competitions/facebook-recruiting-iv-human-or-bot,973rd
/emanuek,Clean by Thresholding,Playing with the thresholding over the image. TODO: - Dynamic thresholding according to dirtyness.,1,bronze,1,Tue Jun 09 2015 19:57:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14643,None,None
/vikasg,Can we use Azure ML for Kaggle competitions ?,"Any experiments which we will create in Azure ML can be used as webservice only. So the model\code will always remain in AzureML and for anyone to use it, it has to be called from the webservice. This seems to be a major limitation to me.",1,None,2,Tue Jun 09 2015 20:21:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14645,None,None
/rinzewind,What is your next Kaggle competition?,"So, just curious: is any of you going to try [Link]:https://www.kaggle.com/c/avito-context-ad-clicks or [Link]:https://www.kaggle.com/c/icdm-2015-drawbridge-cross-device-connections? I am still not decided with regards of what to do. Avito's database is huge and the problems looks fun, the same applies to ICDM. I think this last one might perhaps involve more complex methods, however...",1,bronze,1,Tue Jun 09 2015 23:30:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14647,/competitions/facebook-recruiting-iv-human-or-bot,180th
/wendykan,Results are now final,"Cheaters removed. Congrats to the winners! If you haven't done so, please upload your resume/CV to the ""upload model"" section before this Friday, 6/12, so Facebook can start contacting you. Kaggle would like to thank everyone for participating in our most popular recruiting competition. We've been very impressed in the work that was done, given that the dataset is very noisy. See you in another competition!",1,bronze,9,Tue Jun 09 2015 23:31:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14648,/competitions/facebook-recruiting-iv-human-or-bot,None
/rsteger,"Data Quality, Competition Structure","These data seem seriously flawed to me. Consider 2007, week 30. There are only two dates reported, 7/27 and 7/27. There were 55 different traps reported in 175 records. Of these only 5 had WnvPresent = 1, all trap T115, which occurred in 64 records! And all 5 positives were on the same date (7/25). Also note that there were 55 unique traps evaluated in this week.Refer to the NSMAD Annual Report for 2007, p. 12. You will see that for week 30 there were 17 WNV Positive Pools (picked off bar). Hmmm.OK, Ok, try week 34. Now we see 511 records, 90 of which are WnvPresent = 1. We see 113 unique traps, 49 of which have WnvPresent >0, with two (T115, T138) at sum(WnvPresent) = 7. Note there are only three dates in week 33. The NSMAD report shows ~9 positive batches for week 33. Hmmmm.In week 30 only one of 55 traps was positive, so if I consider a particular trap as evaluated once per week (anything more is redundant) and if I consider that trap to be WNV+ if it has any record WnvPresent > 0, then only one trap (T115) of 55 was positive for a trap probability of 1/55 ~1.8%. But if I’m trying to predict records then I’d take 5/175 ~ 2.9%. For week 34, 49 of 113 traps were WNV+ for 41.2%, but 90 of 511 records were WnvPresent = 1, or 17.6%. But this takes in all species, yet only three have non-zero WnvPresent. The other species can be predicted at 0 with certainty (they are known to be non-carriers). If you exclude these the picture changes but again.This competition is basically structured to predict records, which is of little value to the sponsor. I suspect that most teams are in effect stripping out the seasonal component convolved with location to predict the test set, and ignoring the weather data (contemporaneous weather data are not predictive). Since most of the test set is zero, the prediction for 2012 (and maybe 2010) will make/break the ROC. Predicting trap rates on a weekly basis would be more valuable to the sponsor (c.f. Ruiz et. al.). In reality the sponsor is seeking a time series analysis wherein the weather data are used to predict the evolution of the WNV emergence through the year. Knowing of a surge a few weeks in advance would be of great value. But they already know about the seasonal effect – they want a time series prediction. I’ve spent a over a month on this approach and give up – these data are too contaminated to use for this purpose. There is evidence of a lack of lab discipline and the data reduction methods are confusing to say the least. Also, some of test years are “outside” the temp/rain space of the train set, effectively requiring extrapolation. Good luck with that! It may be possible to do some useful modeling with the entire data set, however.",3,bronze,1,Wed Jun 10 2015 00:01:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14650,/competitions/predict-west-nile-virus,991st
/benhamner,Top Crimes Zones,I always find this type of chart (counts of many categories) easier to read if it's done with horizontal bars instead of vertical bars: that way you don't need to read vertical text & it's simpler to avoid the text getting cut off. Vertical example of the first one (frequency of crimes): https://www.kaggle.com/benhamner/sf-crime/frequency-of-crimes-in-san-francisco,5,bronze,7,Wed Jun 10 2015 01:37:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14651,None,None
/,"XGBoost Starter Code (python), 0.69",,0,None,15,Wed Jun 10 2015 04:11:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14652,None,None
/davish,Error reading csv in OSX Yosemite with R,"I've been reading a lot of posts on apple forums about difficulty with paths after downloading OSX Yosemite. I upgraded from OS X mavericks to yosemite and am having trouble loading data in R. I did not have the problem until upgrading. I tried looking on apple forums for getting the file path and found this link: https://discussions.apple.com/thread/6610989?start=15&tstart=0. I drag the proxy icon to a window and get the file path. Here’s how the path looks on my computer: file:///Users/scdavis6/Documents/Work/Kaggle/Titanic/NewData/train.csv I put the path into the read.table() function in R, but got an error. read.table(""Users/scdavis6/Documents/Work/Kaggle/Titanic/NewData/train.csv"", sep = "","", header = TRUE) Error in file(file, ""rt"") : cannot open the connectionIn addition: Warning message:In file(file, ""rt"") : cannot open file 'Users/scdavis6/Documents/Work/Kaggle/Titanic/NewData/train.csv': No such file or directory Is there anyone here running R on OSX Yosemite and having the same problem? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81440/2597/train.csv",0,None,3,Wed Jun 10 2015 05:29:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14653,/competitions/titanic,None
/krishnateja614,"Help a beginner, what other algorithms may be better to try other than SVM,RF?","Hi, I am new to Kaggle and text analysis interests me very much,In this competition I have used modified version of Abhishek's benchmark SVM code(A big thanks for that) with my own features and Random Forests. SVM is giving me good results but RF is not.I know that SVMs are great for text classification tasks but are there any algorithms that I can try which could give better or similar results to SVM. Kaggle Masters please help me out.",0,None,1,Wed Jun 10 2015 08:10:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14654,/competitions/crowdflower-search-relevance,289th
/flexic,submit prob scores or 0/1,Do we submit prob scores or just 0/1 ? Thank you all.,0,None,1,Wed Jun 10 2015 08:31:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14655,/competitions/word2vec-nlp-tutorial,5th
/carloshuertas,False Ranking Achievement,"With the recent FB competition I managed to move up a few places on the ranking, as part of my CV creation, I decided to include my (nothing to brag about) ranking, however, when I look at it, it looks wonderful 213 / 322,179, it is like Top 0.06%. So, given those numbers it would appear that I am very good at ML, but lets face it, I am not. After reviewing some rankings I found that over 98% (thats insane) of users do not even reach 1000 points. If we take the >999 points users, we only have 5572, which would take me to the Top 4% which makes a bit more sense. I think it would be nice to have some minimum points before you can be ranked, so the ""Kaggle ranking"" really reflects something more meaningful.",1,bronze,9,Wed Jun 10 2015 08:48:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14656,None,None
/gshguru,Stacking BenchSVD-PorterStemmer 0.626,"What is this? Simple Stacking of two models from following public scripts: [Link]:https://www.kaggle.com/abhishek/crowdflower-search-relevance/beating-the-benchmark/run/12217 (LB: 0.57985) [Link]:https://www.kaggle.com/duttaroy/crowdflower-search-relevance/porter-stemmer/run/9779 (LB: 0.60907) What is the result? My LB Score of this script: 0.62648 At the time of submitting I could reach 80/723 ! What I have done? Take both the models output preds and t_labels. Combine them using: for i in range(len(preds)): x = (int(t_labels[i]) + preds[i])/2 x = math.floor(x) p3.append(int(x)) aka simple average of two predictions. Note: Minor changes have been made to script to make Run Time < 600s (Ex: Removed extra params from Grid Search). Code may be little dirty in this version! References: [Link]:http://en.wikipedia.org/wiki/Ensemble_learning#Stacking ""Stacked generalization: when does it work?"", Ting and Witten, 1997",11,silver,1,Wed Jun 10 2015 09:21:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14657,None,None
/yooona,Cellular IP,"Hi, in the file ""ipagg_all.csv"" there is a column which indicates whether an IP adress is ""cellular"" or not. I would like to know what do you mean by ""cellular"". Does it simply tell us that the IP adress belong to a mobile phone ? Cause searching on the internet I found other definition of cellular IP, making distinction between Mobile IP and Cellular IP. For example here : http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=796715&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D796715 Thanks again, Yohann",0,None,5,Wed Jun 10 2015 10:45:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14659,/competitions/icdm-2015-drawbridge-cross-device-connections,6th
/debanjanbanerjee,RandomForest package error,"Dear All, I am having problem with the following piece of code. library(randomForest) my.train <- train_we[,c(""WnvPresent"",""Latitude"",""Longitude"",""Species"",""Tavg"",""PrecipTotal"")]my.test <- test_we[,c(""WnvPresent"",""Latitude"",""Longitude"",""Species"",""Tavg"",""PrecipTotal"")]my.train$WnvPresent <- as.integer(my.train$WnvPresent)my.test$WnvPresent <- as.integer(my.test$WnvPresent)fol_rf <- formula(WnvPresent ~ Species + Latitude + Longitude + Tavg + PrecipTotal)model <- randomForest(fol_rf , data = my.train , ntree = 100 , maxnodes = 10)predictions_rf <- predict(model , newdata = my.test) I am getting the error message the type of predictors in the train data does not match with that of the test data. Can you please help me resolve this issue ?",0,None,1,Wed Jun 10 2015 11:10:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14660,/competitions/predict-west-nile-virus,1166th
/bluesilence,How do you deal with class imbalance?,"Hi all, Congratulations on the winners! For most of time I was stuck at model's under performance, where there are many false-positives. I was attributing this to the class imbalance, and applied SMOTE and stratified sampling to 5~10 folds. It helped a bit, but not much. As discussed in another topic, feature engineering matters the most. However, how do you deal with the class imbalance? Is it a trivial thing in this competition? Thanks for all the sharing, Sunny",0,None,7,Wed Jun 10 2015 13:58:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14661,/competitions/facebook-recruiting-iv-human-or-bot,704th
/dchudz,Painless data wrangling with dplyr,"Nice demo! For what it's worth, I find the operations more readable when they're vertically aligned, rather than having an additional new indentation for each one.",2,bronze,3,Wed Jun 10 2015 17:34:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14663,None,None
/abhishek,sorting forum posts,"Is there any feature like that? Sort by votes, replies, views etc?",2,None,2,Wed Jun 10 2015 18:43:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14664,None,None
/robertsas,Mosquito map animation,"I've been playing around with the mosquito trap data a bit, and just wanted to share what I was able to come up with ... http://blogs.sas.com/content/sastraining/2015/06/09/tracking-west-nile-virus-mosquitos-in-the-us/ Here's a snapshot of one frame from the animation:",3,bronze,2,Wed Jun 10 2015 19:07:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14666,/competitions/predict-west-nile-virus,None
/annavictoria,6 hrs 'til the 1st submission deadline for West Nile,Thinking of entering the [Link]:https://www.kaggle.com/c/predict-west-nile-virus? The first submission deadline is in 6 hrs! You need to make a submission by 11:59 PM UTC today or you will not be able to participate in the competition. Running short on time? There's a bunch of great starter code on [Link]:https://www.kaggle.com/c/predict-west-nile-virus/scripts: Abhishek's [Link]:https://www.kaggle.com/abhishek/predict-west-nile-virus/vote-me-up Mlandry's [Link]:https://www.kaggle.com/mlandry/predict-west-nile-virus/h2o-starter Bing Xu's [Link]:https://www.kaggle.com/binghsu/predict-west-nile-virus/xgboost-starter-code-python-0-69 Girma Kejela's [Link]:https://www.kaggle.com/girmak/predict-west-nile-virus/h20-randomforest-0-73,4,bronze,3,Wed Jun 10 2015 19:52:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14668,None,None
/benhamner,My Random Forest,Nice example of taking the variable importance from a Random Forest and looking at the train error as a function of the number of trees. It appears there is no further decrease in the train error after ~50 trees.,1,None,1,Thu Jun 11 2015 02:18:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14673,None,None
/benhamner,SF districts as regions in R,"Use ""../input/train.csv"" on line 4",0,None,3,Thu Jun 11 2015 07:18:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14675,None,None
/skylibrary,How are people handling the year difference,"Since we are using 2007,2009,2011,2013 data to predict 2008,2010,2012,2014, clearly some of them have different type of distributions. so I guess that's why my 5-fold and 10-fold cross validation has a large difference with the LB score, even my 4-year-fold validation don't agree with leader board most of the time. Yes, the weather condition is different across years, but it seems not to be a strong indicator, so how should we do it.",0,None,1,Thu Jun 11 2015 07:20:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14676,/competitions/predict-west-nile-virus,75th
/selsaas,User not found in user table,I can find the user in the SearchInfo table but it does not seem to exist in the User table. This seems to be the case for several UserID's. Is my query wrong? Or are there just some users who don't exist in the UserInfo table? Select * from UserInfo as Ui where Ui.UserID = 1776571; Select * from SearchInfo as Si where Si.UserID = 1776571;,1,bronze,1,Thu Jun 11 2015 08:39:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14677,/competitions/avito-context-ad-clicks,8th
/ab19026,does the variance(or sd) determines the reliability of the median-relevance-score?,"In a common sense,the variance measures how far a set of numbers is spread out.For example,three raters submitted the scores:1,2,4 while another three gave 2,2,2.Then the former variance is larger than the latter one.Obviously,the later reached an agreement on the score so their median score is more reliable. Is it necessary to lower the weight of some items with too large variance to gain a higher accuracy?",1,bronze,1,Thu Jun 11 2015 10:28:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14678,/competitions/crowdflower-search-relevance,985th
/dchudz,ROC Curve,"[Link]:https://www.kaggle.com/oconnoda/predict-west-nile-virus/roc-curve/run/13696 of the script (confusingly) produces no output because of the `Rscript` parser's weird behavior of stopping without an error when it expects more input but doesn't get any. So the missing close-quote on line 141 causes those lines to just not be executed (rather than producing an error, like I think it should).",1,bronze,7,Thu Jun 11 2015 16:35:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14679,None,None
/abhishek,Golden Features!,. . . . . . . . . . . . . . . . . . . . . . . . . . . . Are there any?? :D,-11,None,15,Thu Jun 11 2015 16:40:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14680,/competitions/predict-west-nile-virus,58th
/jalahrman,Extracting the POLYLINE data in R,"Hi all, I'm trying to work with the data set in R and I'm having trouble with the POLYLINE field. Anybody have any tips on how they've handled it? I've tried to remove the brackets and commas, with the plan to then put each longitude/latitude entry in its own field. That might or might not be the best way to work with it, but I'm having trouble even getting that far as I can't get blank entries out of the lists after I've removed the brackets and commas. No code necessary, I'm just curious what anyone else has done especially if you're working in R. I'm somewhat new to R and viewing this competition mainly as data manipulation practice. Thanks!",0,None,4,Thu Jun 11 2015 17:35:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14681,/competitions/pkdd-15-predict-taxi-service-trajectory-i,None
/richdutton,Myriad issues with cython on Windows 8.1 x64,"I've run into a number of issues trying to make cython work and have for now given up. I'll give some details here in case some of the steps I've taken help anyone else or someone can suggest and further avenues for investigation. I have Anaconda x64 and Visual Studio 2013 installed on Windows 8.1 x64. Trying to build the cython Hello World example from [1] I got ""error: Unable to find vcvarsall.bat"" I added the location of that file to PATH but still got the error. I installed Microsoft's ""Visual C++ for Python"" also to no avail. I ran procmon to try to diagnose and found that there wasn't actually an attempt being made to load the file(!) I switched to a VM and downloaded mingw (I used a VM as mingw is hosted on SourceForge, which is getting some bad press for adding rubbish to their installers, though this didn't seem to end up being an issue) The cython example found mingw and started the build but failed with a slew of errors pointing to [2]. Per that reference I tried to download the whls but found they wouldn't install (perhaps they're only for AMD). Also per the reference I tried to build the .a file. Once I'd done this I found there was already one in my libs directory and replacing it didn't make a difference. I spent some time looking at the specs of a MacBook Pro. [1] http://docs.cython.org/src/quickstart/build.html [2] http://stackoverflow.com/questions/18831785/cython-hello-world-example-is-not-working-windows",0,None,2,Thu Jun 11 2015 20:32:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14684,/competitions/word2vec-nlp-tutorial,None
/mestachs,Saving the Python Maps File,What's the trick to reload it and turn it to map ?,0,None,1,Thu Jun 11 2015 22:36:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14687,None,None
/motaharnaim,Private Leaderboard Score Calculation,"This is my first competition in Kaggle, and I am wondering how the final private leaderboard score will be calculated. I was looking for the answer in forum but could not get any; if someone can provide any link that would be enough. My specific question is: we are submitting our predictions on one part (30%) of the test set but not our models, then how Kaggle will calculate my predictions on the other part of the test set? Initially my perception was that they will release the other 70% a few hours (or days) before the end of the competition and we will have to submit predictions for those entries. Now it does not look to be the case.",0,None,22,Thu Jun 11 2015 23:46:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14688,/competitions/predict-west-nile-virus,71st
/liufan,id counts inconsistent?,"I just want to confirm that id_all_ip contains 2390246 ids id_all_property only contains 2199444 ids device_train has 142770 device_test has 61156 cookie_basic has 2175520 total (device_train+device_test+cookie) = 2379446 So some devices/cookies do not have property information, and some ip access information are for devices/cookies not presented in either device_train/test or cookie_all_basice?",3,bronze,1,Fri Jun 12 2015 01:15:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14689,/competitions/icdm-2015-drawbridge-cross-device-connections,88th
/benhamner,Data Release Guidelines,"As more data is released through Kaggle, it can be frustrating to hop around different datasets and discover formatting inconsistencies in each one. To help with this, we're considering providing competition hosts with more direct guidelines on how to format and release data through the platform. I've made a rough first draft of these on our wiki: https://www.kaggle.com/wiki/DataReleaseStandards I see these as guidelines, because there's always going to be cases where following them doesn't make sense (e.g. who wants to read in their whale image dataset as a set of CSV files?). However, I do believe it's helpful to have a default standard where breaks from it are intentional instead of accidental and ad hoc. Very interested in your thoughts and any feedback you have on this!",2,bronze,8,Fri Jun 12 2015 01:56:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14690,None,None
/benhamner,Share your insights and visualizations through Kaggle Scripts,This fascinating dataset of over a decade of crime reports in San Francisco is close to home for many of us. It's very rich in both it's temporal and geospatial structure. Have any insights into the data or the patterns behind it? Share them through [Link]:https://www.kaggle.com/c/sf-crime/scripts! A few of my favorites so far: [Link]:https://www.kaggle.com/ifness/sf-crime/prevalent-crimes-in-san-francisco [Link]:https://www.kaggle.com/ifness/sf-crime/prevalent-crimes-in-san-francisco [Link]:https://www.kaggle.com/mchirico/sf-crime/vehicle-thefts-drops-off-after-2006,1,bronze,1,Fri Jun 12 2015 02:35:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14691,/competitions/sf-crime,1042nd
/carloshuertas,Cheaters are cute,"I might be wrong but... Whats is the probability that 4 new users submit a few minutes apart, beat sample submission and score exactly the same with non-benchmark/script code and a Mean Haversine Distance metric? LOL, underflow is my result :D PS: I still think they are cute",6,silver,14,Fri Jun 12 2015 04:12:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14692,/competitions/pkdd-15-predict-taxi-service-trajectory-i,237th
/yzhao0527,LocationID Missing in AdsInfo?,"What seems weird to me is that LocationID is missing in AdsInfo.tsv for all contextual records in the trainSearchStream.tsv, well data for records not of interest seems quite complete, is there something wrong? Here's an example, I checked many other records and observed the same. conn = sqlite3.connect(""database.sqlite"") c = conn.cursor() c.execute(""SELECT * FROM AdsInfo WHERE AdID > 22224900 AND AdID < 22224910"") result = c.fetchall() conn.close() for item in result: print(""{}\t{}"".format(item[0], item[1])) Output: 22224901 3960 22224902 2230 22224903 3953 22224904 << this record is in trainSearchStream 22224905 1990 22224906 2277 22224907 743 22224908 2430 22224909 44 The above code used the database file, the LocationID is also missing in the flatfile.",1,bronze,1,Fri Jun 12 2015 06:08:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14693,/competitions/avito-context-ad-clicks,145th
/del=087bdd30a93c05e8,Frequency of Crimes in San Francisco,"Pretty graph. Julia seems as readable as Python. On a separate note I wonder under which ""category"" homicide falls.",1,None,3,Fri Jun 12 2015 09:09:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14694,None,None
/del=124cb27ce93fe22c,Which algorithm do you want to use?,is it possible to use logistic regression for the prediction?,0,None,1,Fri Jun 12 2015 11:32:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14695,/competitions/pkdd-15-predict-taxi-service-trajectory-i,None
/domcastro,Bug in Forum voting,Not sure if this is a bug - I accidentally voted someone down whilst scrolling. I went to cancel my downvote but it then gives them an Up vote - so it goes from -1 to +1 rather than -1 to 0,3,bronze,2,Fri Jun 12 2015 12:56:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14696,None,None
/asimkievich,external data,"Hi there, as per the competition rules, here goes our disclosure: we plan to use bing search results for the queries in the training set.",0,None,7,Fri Jun 12 2015 14:53:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14699,/competitions/crowdflower-search-relevance,3rd
/inpefess,What does it mean when Property ID is _both_ website and app?,"In the file id_all_property.csv there are many lines that have the same Property ID but different ""device or cookie indicator"" (sometimes zero and sometimes one). The description of Property ID column reads ""Website name for cookie, and mobile app name for the device"". So, is e.g. property_100000 a single object of complex type (mobile app and a website which have the same name or are related somehow, belong to one company or whatever) or actually two different objects of two different types (one mobile app and one website) which incidentally have the same ID?",2,bronze,10,Fri Jun 12 2015 15:23:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14700,/competitions/icdm-2015-drawbridge-cross-device-connections,108th
/dbennett,Crime density by location,"Maybe someone that knows San Francisco can tell me whether this is lining up right? Particularly with Prostitution, it looks like there are particular streets coming up with high probability.",0,None,11,Fri Jun 12 2015 16:42:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14701,None,None
/annavictoria,2nd place team ¯\_(ツ)_/¯ write-up!,"2nd place finisher, [Link]:https://www.kaggle.com/aguschin of team ¯\_(ツ)_/¯, wrote about his stacking centric approach to this competition for [Link]:http://blog.kaggle.com/! You can find his write-up [Link]:http://blog.kaggle.com/2015/06/09/otto-product-classification-winners-interview-2nd-place-alexander-guschin/, complete with some great visualizations and words of wisdom. (For example, ""Never underestimate nearest neighbours algorithm."")",3,bronze,2,Fri Jun 12 2015 19:49:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14703,/competitions/otto-group-product-classification-challenge,None
/sanchitchip,unable to sumbit coz of error ,"Expected 'ID' column to be of type 'String', but was 'Int32' tried to modify my excel using TEXT function Thn fr the help",0,None,1,Fri Jun 12 2015 22:03:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14705,/competitions/smartphone-user-activity-prediction,30th
/sushize,About implementing quadratic weighted kappa evaluation metric as customized loss function in xgboost?,"Dear Friends, Any of you guys want to shares insights about how to implement quadratic weighted kappa evaluation metric as customized loss function for xgboost? I think doing this might help, but haven't figure out the right way to implement it. To clarify, I am not talking about computing the quadratic weighted kapp score(--I do know how to compute such score in both python and R). Instead, I am looking for something like in this post https://www.kaggle.com/c/higgs-boson/forums/t/10286/customize-loss-function-in-xgboost. I am not sure how to set the the gradient of the quadratic weighted kappa to implement this customized loss function for xgboost. Have a great day, and thanks in advance! Best regards, Shize",5,bronze,3,Fri Jun 12 2015 22:13:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14706,/competitions/crowdflower-search-relevance,4th
/barisumog,Suggestion: No ranking points to script re-submitters,"With the new scripts section, it's possible to re-submit the final csv of a published script with a single click, let aside doing any actual work, but without even downloading the given data. I think it's obvious what this may bring. If you're unsure, or if you think that won't happen, take a look at the [Link]:https://www.kaggle.com/c/predict-west-nile-virus/leaderboard. There are many people who simply submitted the output of a published script, and they are now happily in the top 10%. I know this has been discussed many times before, I know it's not in Kaggle's or the sponsors' best interest to put limits on sharing code. I'm not going to go over the arguments against. But can we at least discriminate those who just click one button? My suggestion is, give no ranking points to those who re-submit a posted script, except, of course, to the original poster. This way, Kaggle and the sponsors can still benefit from shared code, people can still tweak a posted script and see if they can do better. But at least those who just re-submit the same thing without any actual work and choose that as their final submission will get nothing - which is imho what they deserve.",19,gold,95,Fri Jun 12 2015 22:55:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14707,None,None
/bryanpjohnson,Scoring on edge cases,"Since the scoring is ""per row"" and then averaged for all rows in the submission, the edge cases of precision and recall are more likely to come up. How are they being defined in this particular competition? e.g. Case 1: The real solution for a device_id has 0 cookies associated with it and we accurately predict 0 cookies. In this case precision and recall are 0/0, but we predicted the device correctly. Is precision and recall 1 in this case? Case 2: The real solution for a device_id has 0 cookies associated with it and we predict > 0 cookies. In this case precision is clearly 0 but recall is 0/0. What is recall? Case 3: The real solution has > 0 cookies and we predict 0 cookies. Recall is 0 but precision is 0/0. What is precision?",4,bronze,6,Sat Jun 13 2015 01:44:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14708,/competitions/icdm-2015-drawbridge-cross-device-connections,48th
/benhamner,Reading Bad CSV Files,"For those of you working with R, here's a way to read the three improperly formatted CSV files in this set into R dataframes. Hope this is helpful!",3,bronze,6,Sat Jun 13 2015 02:25:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14709,None,None
/frankportman,Are you guys removing all 'SearchIDs' where 'ObjectSize' != 3?,Or are you finding the other info relevant to your analyses? The size of the data and the speed of querying is making me think to just dump all non context lines but I'm not sure if the other information was included for some specific purpose.,0,None,1,Sat Jun 13 2015 04:49:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14711,/competitions/avito-context-ad-clicks,323rd
/justfor,Privacy - and a no go competition,"Hello, so another competition. Going through the topic and the description and have a look at the company web page behind it there is only one option from my point of view. For me this is a no go competition. Learning to track users between devices is the difference where I, personally, draw the line. Regards",1,bronze,1,Sat Jun 13 2015 15:40:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14715,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/sumitkchawla,Trick to load Data in Python - Out of Memory Exception,"I have been trying to play with this data in python. I have a decent Linux Mint laptop of 8G RAM. However, i cannot get past the stage of loading data into pandas DataFrame and then trying patsy datamatrices on that. The program keeps failing with Out of Memory exception. Is there any obvious trick i am missing here? How to load such large datasets into memory in python? Is there any alternative? Please help as i am pretty new to python.",0,None,5,Sat Jun 13 2015 19:08:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14716,/competitions/sf-crime,1478th
/aleksandkliushev,Speed visualization ,It's amazing!,1,None,6,Sat Jun 13 2015 23:18:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14718,None,None
/wacaxx,NEAT & Machine Learning for Video Games ,"Hello Kaggle, I stumbled upon this video on twitter, it's an application of neural nets on video games based on the NEAT method (NeuroEvolu-tion of Augmenting Topologies) Youtube: [Link]:https://www.youtube.com/watch?v=qv6UVOQ0F44 Source Code: [Link]:http://pastebin.com/ZZmSNaHX ""NEAT"" Paper: [Link]:http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf This really blew my mind, so my question is what other approaches are there in reinforcement learning. I would like to learn more about this as well as other approaches in reinforcement learning so links and resources will be greatly appreciated.",3,None,5,Sun Jun 14 2015 00:35:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14719,None,None
/benhamner,All of CRAN in Kaggle Scripts,"I've experimentally installed all of CRAN on the R docker container we're using for Kaggle Scripts. It ended up being a 8GB docker image that took 10 hours to build. Due to time restrictions on Docker Hub, I had to build it locally and then push it (instead of using an automated build on their infrastructure based on Github pushes). The base CRAN image is currently saved as benhamner/rcran, and then kaggle/rstats starts from this and installs additional packages that aren't on CRAN. Let me know if this causes any issues. Having a massive container with the kitchen sink of packages isn't our long-term solution to this, but it hopefully will be effective over the next couple months. [Link]:https://www.kaggle.com/benhamner/titanic/r-environment-now-has-all-of-cran.",10,silver,1,Sun Jun 14 2015 06:38:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14720,None,None
/toshik,Dose taxistandsID_name_GPSlocation.csv have a error ?,"I cannot open ""metaData_taxistandsID_name_GPSlocation.csv"" normally. Please look at Line 42.""41,Nevogilde,41.163066654-8.67598304213"" seems to lose third "","". May I edit this line to ""41,Nevogilde,41.163066654,-8.67598304213"" by my hand?(May I insert "","" between ""41.163066654"" and ""-8.67598304213"" ?)",0,None,1,Sun Jun 14 2015 07:06:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14721,/competitions/pkdd-15-taxi-trip-time-prediction-ii,13th
/lukasz8000,Fast LeNet5 CNN in Theano for GPU,"Please upvote (the whole script, at the top of this page) if you forked and like it. # Fast LeNet5 CNN in Theano for GPU# The code is based on the LeNet5 example: http://deeplearning.net/tutorial/lenet.html# New features:# 1. separate fit and predict methods# 2. export/import of the trained model to a file## Please note that here we run only 3 epochs, on a CPU within the 10 minutes time limit.# We could run around 200 epochs on GPU in 10 minutes (with lower learning rate), obtaining a higher score.",6,bronze,8,Sun Jun 14 2015 14:37:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14723,None,None
/michalm,SF Map RDS,"Hello, where I can find the Map for SF: sf_map_copyright_openstreetmap_contributors.rds?",0,None,2,Sun Jun 14 2015 15:49:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14724,/competitions/sf-crime,None
/triskelion,clusters in 2D with tsne VS pca,Thanks! A beautiful and revealing comparison.,2,bronze,3,Sun Jun 14 2015 20:32:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14725,None,None
/gaurbans,Why are some Dates not converting to date/time format?,"In R, I'm using various methods to convert the ""Dates"" column in the training data from a Factor variable to a date/time variable. Three methods I'm using are below: training$dates <- strptime(training$Dates, ""%Y-%m-%d %H:%M:%S"", tz=""PST8PDT"") training$ctdates <- as.POSIXct(as.character(training$Dates), format=""%Y-%m-%d %H:%M:%S"", tz=""PST8PDT"") training$ltdates <- as.POSIXlt(training$Dates, format=""%Y-%m-%d %H:%M:%S"", tz=""PST8PDT"") However, with all three formats some are not converting correctly. When I type in the following: which(is.na(training$dates)) which(is.na(training$ctdates)) which(is.na(training$ctdates)) This gives me: [1] 12994 12995 12996 88288 88289 88290 88291 88292 88293 164029 164030 302861 302862 302863 370419 370420[17] 370421 438818 438819 438820 438821 438822 438823 438824 438825 508954 508955 508956 508957 508958 508959 577478[33] 577479 577480 577481 577482 577483 577484 783822 783823 857807 857808 857809 857810 857811 857812 857813 So these rows are not being converted correctly and thus become NAs. I'm not sure why. Looking at the rows in the ""Dates"" column, nothing seems odd about them.",0,None,5,Mon Jun 15 2015 00:35:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14731,/competitions/sf-crime,1203rd
/benhamner,TIME prob density plot,Use plt.savefig to save the results on our system (see line 26 on https://www.kaggle.com/benhamner/pkdd-15-taxi-trip-time-prediction-ii/time-prob-density-plot for an example),0,None,1,Mon Jun 15 2015 02:41:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14732,None,None
/taffeylewis,For Fun!  Vote for overfitting,"In the spirit of giving [Link]:https://www.kaggle.com/c/predict-west-nile-virus/forums/t/14636/same-script-and-same-score-from-the-leader-board-how-kaggle-will-deal-with/81820#post81820: Upvote this post if you think there's lots of LB overfitting, and on Wednesday we will see all kinds of LB shuffling (at least locally). Downvote if you think nothing of the kind is going to happen and everyone's position is rock solid! Vote sideways if you think all the scripts are going to end up in the top 10. ;) P.S. You should totally upvote [Link]:https://www.kaggle.com/triskelion/predict-west-nile-virus/random-late-benchmarkand especially [Link]:https://www.kaggle.com/barisumog/predict-west-nile-virus/random-late-benchmark. Those two really deserve the hoodie!",2,bronze,55,Mon Jun 15 2015 03:51:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14733,/competitions/predict-west-nile-virus,471st
/mac475,The meaning of score,"Dear all, I'm novice in this area, so I don't know much about whole this system. And this is my second challenge on kaggle, the first one was Titanic. My question is this, the Titanic's score was easy to understand, which was the accuracy of people's survival or not. So, the score was type of percentage. easy to understand. But, on this challenge, I can't understand what score means. I did read the Evaluation page of course but, I can't understand in a intuitive way. Can you explain the meaning of score? 2.27804, 2.50311... Thanks in advance",1,None,5,Mon Jun 15 2015 14:14:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14737,/competitions/sf-crime,1017th
/del=a4518d98ca313549,enhanced by trees - AUC 0.92+ (CV),"""This competition is closed to new entrants""...but this is what I would have submitted!",-4,None,5,Mon Jun 15 2015 16:14:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14738,None,None
/sofus312568,Thank you all for your participation,I wanted to thank you all for your participation. The energy and interest in this competition has been extraordinary! We were blown away by the record number of participants and I want to thank every single one of you for your participation and time. You all made this competition more interesting and I hope you all learned from it and enjoyed participating in it as much as we enjoyed having you here. Thank you again all of you and hope to see you in future events and competitions. Sofus Macskassy Applied Machine Learning Facebook,12,silver,1,Mon Jun 15 2015 18:26:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14740,/competitions/facebook-recruiting-iv-human-or-bot,None
/del=2612cfbf105b37da,Does a csv file made from a jpg represent the jpg line by line like a tv image?,How does a beginner to image processing get a jpg into an excel file as a one to one represntation of the image. Would each excel cell be a pixel colour?,0,None,2,Mon Jun 15 2015 19:38:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14741,/competitions/diabetic-retinopathy-detection,None
/mikeskim,"tested on only 320, is it a lottery?","I haven't really looked into either taxi competition because it seems the data is extremely small. For one the test is 320 observations. So the question is, do you have faith in your local CV variance, such that this contest is not a lottery? Or is this basically going to be more of a lottery than anything else?",5,silver,7,Mon Jun 15 2015 20:14:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14743,/competitions/pkdd-15-taxi-trip-time-prediction-ii,99th
/happyhippo,Typical Run Time for neuralnet in R,"I've tried running neuralnet on the data with just 5 hidden layers (I'm new to Neural Networks and figured I'd start small...). However, R has been running for over an hour now and still no results. What are typical run times using the neuralnet package? Any tips for speeding things up?",0,None,1,Mon Jun 15 2015 22:50:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14745,/competitions/digit-recognizer,None
/apogentus,Simple Lasagne NN,"For me this script gave an error: TypeError: cost must be a scalar. Full error is attached. I use Win7 64bit, python 2.7 64bit, Theano 0.7.0. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/81937/2609/error.txt",1,bronze,7,Tue Jun 16 2015 00:05:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14746,None,None
/nigelcarpenter,DAYTYPE and use of external data,Please can competition admins confirm that the use of external data is acceptable to correct the error in the DAYTYPE field. [Link]:https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii/forums/t/14382/luis-how-is-the-test-time-determined/80646#post80646 seems to suggest it is and the competition data pages would suggest it was the intention to provide this information.,0,None,2,Tue Jun 16 2015 00:48:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14747,/competitions/pkdd-15-taxi-trip-time-prediction-ii,132nd
/dougcox,Extremely High Leaderboard Scores,Does anyone know what is going on with the cluster of leaderboard scores that are sitting at 1.0? It seems odd that there are so many people with a perfect score. I was under the impression that the current state of the art for MNIST still had around a 0.2% error.,1,None,19,Tue Jun 16 2015 01:26:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14748,/competitions/digit-recognizer,None
/xeraph,Did anyone tried using deep learning?,Did anyone tried using deep learning to learn features automatically? Thx.,0,None,1,Tue Jun 16 2015 04:33:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14749,/competitions/axa-driver-telematics-analysis,None
/phillipadkins,enhanced by GB trees - AUC 0.86+ (CV),LB score?,0,None,7,Tue Jun 16 2015 05:17:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14750,None,None
/phillipadkins,Extra Random trees - AUC 0.92+ (CV),LB score?,0,None,1,Tue Jun 16 2015 05:18:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14751,None,None
/pengliu84,Admin: clarification of rules before final submission selection?,"As quoted from the rules: ""Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records."" My question is how do we interpret this rule with respect to adding a weight to our prediction and that weight is determined by leader board fitting (I think a lot has done this by year at least, perhaps some people have gone even as far as fitting by month). Does fitting to the leaderboard and in this case manually changing the weights of years / months constitute ""incorporate information from...human prediction of the validation dataset or test data records""? This is the first time I have read the rules carefully enough to realize this clause. From my experience with previous competitions, manual weights were allowed, but I just wanted to make sure for this competition since obviously weight by specific time period here is a huge advantage. If it is allowed, to what extent is it allowed? Personally this absolutely makes no sense from a usability perspective by the competition sponsor, but is great fun from a pure competitive stance If an admin could clarify on this, it is much appreciated. For those of you who hasn't exploited this yet, you still have 10 more submissions to do so!",6,silver,97,Tue Jun 16 2015 07:13:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14752,/competitions/predict-west-nile-virus,15th
/mzacks,What happens if 60 people have the same submission?,"I am curios if there is any rule when tens of people submit the same file and they get a recognition for it like top 10%, 25%. It certainly doesn't feel right, but not sure if there is any rule in place for it. I think this situation is ok if you don't expect any Kaggle recognition, but if you you want to be in top 25% at least a unique submission should be required.",5,silver,1,Tue Jun 16 2015 07:19:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14753,/competitions/predict-west-nile-virus,183rd
/lukasz8000,Convolutional Neural Network in Python for GPU (code),"Hello, I prepared an image recognition script with an improved deep learning Theano code for a GPU. It is easier to use than the default code from the Theano CNN tutorial. I hope it will make it easier to use Theano with your own flow and datasets! Link: https://www.kaggle.com/lukasz8000/digit-recognizer/test1 The code is the same as in the tutorial, but is extended: 1. Has separate fit and predict methods 2. Features export/import of the trained model to a file Best, Lukasz",5,bronze,1,Tue Jun 16 2015 13:48:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14755,/competitions/diabetic-retinopathy-detection,None
/sporeza,Is this competition only for people from the States?,"Hi, I was just reading the rules and the ALL CAPS in the eligibility section caught my eye: ""ELIGIBILITY THIS COMPETITION IS OFFERED IN THE UNITED STATES OF AMERICA."" Does this mean competitors from other countries won't be eligible to compete nor win prizes?",0,None,3,Tue Jun 16 2015 15:03:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14756,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/benhamner,Fixing Bad CSV Files (With Download),"Unfortunately, three of the data files are improperly formatted CSV files. They have a variable-length field in them separated by the { and } braces that contain an array of tuples. The fix_bad_csv Python function corrects this by transforming the data into a proper relational table, and then saves the output as a new CSV file. This has a far more reasonable runtime than the [Link]:https://www.kaggle.com/benhamner/icdm-2015-drawbridge-cross-device-connections/reading-bad-csv-files. Two of the three corrected files can be downloaded from the output tab on this script (combining all three in one script exceeded the current 500mb output size limit).",0,None,7,Tue Jun 16 2015 19:37:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14757,None,None
/hiendang,wrong label in training set?,"While looking at the training set, i found that the row with 21542 is labeled as 1, which means product does not match the query. However,products at other rows which have the same query ('pyrex') and are labeled as 4, are the same type with the product with id = 21542 id 21542 ,""pyrex"",""Pyrex 8-pc. No Leak Clear Container Set"","""",1,1.414 other rows which are labeled as 4: id 22505, 'pyrex', 'Pyrex 8-Piece Easy Grab Bake and Store Set', 'Protect your..',4L, 0.0 id 24389, 'pyrex', 'Pyrex 6 Piece Glass Bakeware Set - Clear','Satisfy all of...',4L, 0.433 does anyone have an explanation for this?",0,None,7,Tue Jun 16 2015 22:44:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14759,/competitions/crowdflower-search-relevance,5th
/gaurbans,Do columns in submission have to be in same order as sampleSubmission.csv?,"Do the columns have to be in the same order or does the order not matter, when submission time comes?",0,None,1,Tue Jun 16 2015 23:17:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14760,/competitions/sf-crime,1203rd
/passionkaggle2015,Looking for a team ,Hi! I have got a master in data mining. I know SAS and R and willing to learn Pythan. I am looking for a team to participate in this competition. Please email me : kaggle2015@gmail.com Thanks!,1,bronze,6,Tue Jun 16 2015 23:31:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14761,/competitions/diabetic-retinopathy-detection,None
/dlyzer,Trying out kNN,"I have tried to make something out of [Link]:https://www.kaggle.com/dlyzer/crowdflower-search-relevance/k-nearest-neighbors. If you've also worked with it, how was your experience?",0,None,2,Wed Jun 17 2015 01:08:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14765,/competitions/crowdflower-search-relevance,156th
/benhamner,SQLite Database,"I just enabled SQLite on Kaggle Scripts and uploaded a SQLite database for this competition. Here's a [Link]:https://www.kaggle.com/benhamner/icdm-2015-drawbridge-cross-device-connections/sqlite-database-schema, and another [Link]:https://www.kaggle.com/benhamner/icdm-2015-drawbridge-cross-device-connections/sample-rows-from-each-sqlite-table. I've also written a [Link]:https://www.kaggle.com/benhamner/icdm-2015-drawbridge-cross-device-connections/accessing-sqlite-from-python. The [Link]:https://github.com/benhamner/icdm-2015-drawbridge-cross-device-connection is on Github. The couple main differences between the raw data and the SQLite database are: table names are more concise devices is a single table combining dev_train_basic and dev_test_basic (drawbridge_handle is -1 if it's from the test data and an id if it's from the train data) ipagg_all.csv, ip_all_id.csv, and ip_all_property.csv have been normalized to proper relational tables The database is available as ../input/database.sqlite in Kaggle Scripts, and downloadable as database.sqlite.zip from our [Link]:https://www.kaggle.com/c/icdm-2015-drawbridge-cross-device-connections/data.",6,bronze,18,Wed Jun 17 2015 02:56:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14766,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/oconnoda,A Better Competition,This contest would have been better if we were given the first N weeks of each year rather than 4 out of 8 years. Then we could have played with ARIMA models and such.,1,bronze,5,Wed Jun 17 2015 05:39:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14768,/competitions/predict-west-nile-virus,24th
/gzsiceberg,External data from Amazon,"I crawled the returned results from amazon by searching query. These data are useful in my model, about 0.006 ~ 0.01 improvement in CV and LB. One question, does anyone get tree model to work? I mean 0.67 above in LB [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82117/2615/items_9.json",9,silver,50,Wed Jun 17 2015 05:51:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14769,/competitions/crowdflower-search-relevance,6th
/espanarey,Extracting street suffix from address,"Extracting street suffix from address name. The idea of this script is to retrieve the street suffix name from the address full name and compare it with the crime category to analyze their relationship. First, I look at the “US Postal Service” web page to get the meaning of the street suffix names (I’m not from US) http://pe.usps.gov/text/pub28/28apc_002.htm. e.g. BL – boulevard, CR – circle, CT – court, etc. After getting the street suffix for each unique address name from the train data set, I compare it with crime categories using bar charts with ggplot. The X-axis shows the street suffix and Y-axis gives the contribution of the crime category on a specific street suffix, the sum of all crime categories for each street suffix is 100%. e.g. 0.68% of crime committed on RD (road) are arson, 28 out of 4,120. This ratio is significant higher than the total arson ratio, 0.17%, 1,513 out of 878,049. Looking at the graphs, there is a significant trend in crimes committed on PZ – plaza, where drug/narcotic, drunkenness, liquor laws, robbery, stolen property and warrants have their highest ratio on PZ. However, vandalism or vehicle theft are committed on a lower ratio on PZ compare to other street suffix. Also, the ratio between suicides and highway is significant higher than other street types. This analysis is only based on the bar charts. Is there a statistical way to check which street suffix are significant higher or lower in a particular crime category? I was thinking on a t-test but as I’m not a statistician, not sure if this makes sense. Please, feel free to comment on this code I’m sure there could be more efficient ways to do it or improve it.Good luck",4,bronze,3,Wed Jun 17 2015 12:18:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14771,None,None
/nesterov,Data mining workshop in Moscow,"Hi, if you are in Moscow at 27 of June - welcome to Data mining workshop, all details are here: [Link]:http://habrahabr.ru/company/mailru/blog/260051/ (in Russian) We plan to spend the whole day for solving ""Search Results Relevance"" problem, and publish all code afterwards.",8,silver,2,Wed Jun 17 2015 17:46:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14773,/competitions/crowdflower-search-relevance,30th
/noswald,Memory and CPU constraining analysis,Does anyone have any tips for working with this large dataset on a somewhat standard desktop computer? Would it be recommended to use AWS or simply build the model on a smaller sample size? I'm consistently running into memory and CPU issues and I assume others have the same problem (which is why the number of competitors for the competition is much less than for something like the West Nile Virus one. Any help is appreciated. Nick,2,bronze,4,Wed Jun 17 2015 19:18:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14774,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/carloshuertas,Private Rank Leaked?,"A few minutes ago (1:26 pm GMT-8), I checked my ""Results"" tab, and got a very different ranking for this competition, massive overfit for me, rank round 6xx/N.I could not spot any more because as soon as I refreshed it was gone.Do any of you experience such scenario? remember that this has happened before [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/14234/possible-private-lb-leak",1,bronze,8,Wed Jun 17 2015 22:35:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14775,/competitions/crowdflower-search-relevance,145th
/shashank259,Address column dilemma,"The training data has an address column with not a standard address type. How can I use the ""address"" column in addition to other columns to make the model knowing very well that using this column for my model will help enhance the accuracy of the model ?",1,bronze,6,Thu Jun 18 2015 00:17:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14776,/competitions/sf-crime,None
/shashank259,Building features from categorical data,"Hello everyone, I am using pandas.get_dummies function on columns which have categorical data to transform the data into numerical values which is not biased. Is this an efficient way of approaching this problem ?",0,None,2,Thu Jun 18 2015 00:21:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14777,/competitions/sf-crime,None
/whitetigersfu,n00b K-fold CV question,"Is there a limit to how big you should make K? I understand as K gets bigger performing the CV will take longer, but aside from that, is there any reason not to make K = n? is there a point where your validation sets are so small that even if you average them, the result is garbage?",0,None,1,Thu Jun 18 2015 04:09:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14778,/competitions/crowdflower-search-relevance,225th
/teamxpicdmcontest,"""observations"" and ""appear"" on an IP ","Hi, I try to understand 4th column of id_all_ip.csv and 3rd column of ipagg_all.csv. 1, Does these two columns mean the same thing? I mean, if device/cookie appear on an IP in table id_all_ip, this counts an observation on this IP in table ipagg_all? 2, How come the total observations on an IP is less than the sum of all the appearances on this IP? For example, ip1543076. There are 455 observations on it according to table ipagg_all, however, there are 810 appearances of device/cookie on this IP according to id_all_ip. Thanks.",0,None,5,Thu Jun 18 2015 04:14:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14779,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/debayan,Best Single Model Performance,"Hi, I am new to kaggle competition and specially in text mining field. I started with the benchmark posted by Abhishek (0.57+ LB; of course a big thanks to him) and with some added features and parameter tuning I could go upto 0.66+ (which is my current LB) but could not go further. I have used RF as well but it could give me only 0.63+. I have not started any stacking/blending/ensemble. Any suggestion from Kaggle Masters on what other methods can be tried?",0,None,30,Thu Jun 18 2015 07:21:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14780,/competitions/crowdflower-search-relevance,56th
/gertjac,Model (and overfit) sharing,"Congratulations to the winners! I'm looking forward to see your solutions. My model is an ensemble of 12 logistic regression models that each use a different set of weather variables, because having all variables at once lead to train set overfit. Sets were different by the period (30, 60 or 90 days before) that was used to calculate average weather features, and by the subset of columns (one based on literature with temperature, precipitation and wind speed; the others on forward selection using cv). Apart from that, each model also had species, location (nine geographical blocks based on lat/lon) and a trap-specific maximum number of duplicate rows per year (ie the leakage feature). This ensemble scores 0.811 (0.823 public) and could be improved to 0.833 (0.842 public) by fitting linear weights for each year using the public testset. I would prefer the latter to be disallowed, but felt it was necessary to keep up with other teams doing it.",17,gold,57,Thu Jun 18 2015 08:44:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14781,/competitions/predict-west-nile-virus,18th
/anipik,Number of categories of crime,Do we need to treat each new name in category in train.csv as a new class of crime or could we merge certain categories of crime ?,1,None,1,Thu Jun 18 2015 10:48:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14782,/competitions/sf-crime,2192nd
/nepaliya,Need a team mate.,Anyone with experience in Face detection and in any related field.,0,None,5,Thu Jun 18 2015 14:33:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14784,/competitions/facial-keypoints-detection,None
/liufan,Bad data report,"In file id_all_property.csv. in the row with device/cookie indicator '1', id of 'id_4346517', where is a un-fabricated property value. (www.www.auctionzip.ca', '1)",3,bronze,3,Thu Jun 18 2015 18:29:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14789,/competitions/icdm-2015-drawbridge-cross-device-connections,88th
/malans,Can someone didactically explain what the leakage feature is?,I'm just wondering if someone could please explain.,0,None,11,Thu Jun 18 2015 18:46:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14790,/competitions/predict-west-nile-virus,394th
/drrd00,how to create a team,If I want to invite someone to create a team what should I do?,0,None,1,Thu Jun 18 2015 19:41:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14791,/competitions/crowdflower-search-relevance,663rd
/valerioorfano,Competition is over,"Hi competition is over, anyone who wants to share solutions",0,None,1,Thu Jun 18 2015 20:53:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14794,/competitions/predict-west-nile-virus,704th
/inversion,What would have improved this contest,"Here's my list: We should have been predicting the number of infected mosquitoes per trap. (You can infer this from the training data as it stands). Test should have had one row per species for each collection. (i.e., no multi-row leakage). It would have been nice to not have to worry about the traps only seen in 2007 in the training data. How do we predict them if we don't even know whether those traps were collected during 2008? Less submissions per day to minimize LB probing. (And early clarity on what, if any probing could be incorporated back into the model.) Others?",5,bronze,15,Thu Jun 18 2015 23:12:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14795,/competitions/predict-west-nile-virus,69th
/sanghadeb,Sample Submission file,I would greatly appreciate an explanation of the sample submission. What does the id and value represent?,0,None,2,Fri Jun 19 2015 03:06:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14797,/competitions/denoising-dirty-documents,None
/stevendu,Why calibration works,Cool!,2,None,1,Fri Jun 19 2015 03:10:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14798,None,None
/carloshuertas,Lose ranking points for contest participation?,"I just want to be sure that I understood correctly the (relative)new ranking system, with the current points decay function, is it possible to actually lose points by entering to a competition?",0,None,6,Fri Jun 19 2015 04:40:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14799,None,None
/kavadikirajesh,Cities with different Regions,"[Location.tsv], There are few cities with different regions, example (city id 98, 235). Usually it has to be the same region that the city should belong to. Does anyone have a clue on it?",0,None,5,Fri Jun 19 2015 05:30:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14800,/competitions/avito-context-ad-clicks,None
/anmiko,Be aware of duplicates,"If in a submission you have the same cookie_id for a device more than once the score will be 0. for example, if a submission has just one line like""id_1"",""id_166 id_166 id_856312"" the score will be zero whatever other lines are.",0,None,3,Fri Jun 19 2015 08:49:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14801,/competitions/icdm-2015-drawbridge-cross-device-connections,39th
/itankoyeu,The Winner is a Mysterious Genius.,"[Link]:https://www.kaggle.com/chaiml seems to be a mysterious genius for me - he participated in only two competitions and in both of them he won! Is it you, Andrew Ng? :)",15,gold,2,Fri Jun 19 2015 13:37:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14802,/competitions/predict-west-nile-virus,157th
/jasonnoriega,Interactive Tableau Dashboard,Here is an interactive Tableau Public dashboard that I put together... [Link]:https://public.tableau.com/profile/jaysha101#!/vizhome/CRIMEINSANFRANCISCO/SFCrimeDashboard,12,bronze,2,Fri Jun 19 2015 14:48:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14804,/competitions/sf-crime,None
/shashankc,Can't seem to replicate the snapshot times in test set,"Hi guys, I was trying to look at the test data and recreate the snapshot dates and times given in http://www.geolink.pt/ecmlpkdd2015-challenge/dataset.html. 14/08/2014 18:00:0030/09/2014 08:30:0006/10/2014 17:45:0001/11/2014 04:00:0021/12/2014 14:30:00 I wrote the following code in python: NOTE: test is the data frame in pandas with the column TIMESTAMP having the raw time stamps and POLYLINE is list of tuples. ------------------------------------------------------------------------------------------- test['LEN'] = test['POLYLINE'].apply(lambda x: len(x)) test['TIMESTAMP_END'] =test['TIMESTAMP'].map(int) + test['LEN'].map(lambda x: 15.0*x) test['END_HOUR_2'] = test['TIMESTAMP_END'].map(lambda x: datetime.datetime.fromtimestamp(x).hour) test['END_DATE_2'] = test['TIMESTAMP_END'].map(lambda x: datetime.datetime.fromtimestamp(x).day) pd.pivot_table(test, rows='END_DATE_2', cols='END_HOUR_2', values='TRIP_ID',aggfunc=len) ------------------------------------------------------------------------------------------- This is what I get: ...SEE_ATTACHMENT... Basically, the time stamp appears to be off by 6 hours. I can't seem to figure out where i'm going wrong. Can anyone help? Thanks. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82404/2625/Screen Shot 2015-06-19 at 8.21.59 AM.png",0,None,2,Fri Jun 19 2015 15:25:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14805,/competitions/pkdd-15-predict-taxi-service-trajectory-i,15th
/dataista,"0,60 on LB w/ max(mean,time) plus trick","I'm stuck with this, so I share my code and hope someone can further improve and share. Observing speeds it comes that when a trip is ending the speed during the last two points is really slow. Thus, I put a threshold to recognize this case in the test set. Now the logic is: if the trip has less points than average (44) return average if the trip has more points than average but last speed is lower than 3 m/s than take trip len as result if the trip has more points than average but last speed is > 3m/s the trip is still on going and as use 1.5 * len as 'tentative' guess. Notice that 1.5*len and 3m/s are guess parameters without any formal foundation, but it works somehow",0,None,1,Fri Jun 19 2015 16:34:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14806,None,None
/staesthetics,San Francisco Top Crimes Map,"Hi Ben Where did you get the .rds map data? This is interesting as it is new for me, so I want to try it in my laptop. Thanks",5,None,24,Sat Jun 20 2015 06:05:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14808,None,None
/ajitmotra,Denaoise with preserved background color,I feel background colour can be further improved and brought close to original paper color.,0,None,1,Sat Jun 20 2015 11:28:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14811,None,None
/stevolkm,Question: Choose 3 Submissions,"Hey Kagglers, i have to choose 3 Submissions out of my submitted predictions. Will the final score be the best out of these 3 submissions or will it be an average score of the 3 submissions? I would like to choose 2 best submissions and 1 submission with an other prediction-method, maybe it was better on the whole test set... Greets Stephan",0,None,1,Sat Jun 20 2015 14:47:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14813,/competitions/smartphone-user-activity-prediction,9th
/krishnateja614,Off Topic: Request for everyone to provide links for good tutorials and lectures on Practical Data Science,"Hi, I'm a beginner in the field of Machine Learning and Data Science and I wish to learn more about the practical aspects of both.So, It would be very helpful for someone like me if Kaggle Masters and Kagglers here can give some links to tutorials where we can learn the art of practical Data science.I know googling will give me reasonably good results but I'm hoping for the personal opinions and would like them to jump in and share some of the resources. Also, if the PZAD course by Alexander D'yakonov is in English and if it is available online ( I tried but I couldn't find it) , a link for those lectures would be great.",0,None,9,Sat Jun 20 2015 14:58:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14814,/competitions/crowdflower-search-relevance,289th
/datatuna,Log function - why replace ones?,"In the evaluation description it says""In order to avoid the extremes of the log function, predicted probabilities are replaced with max(min(p,1−10^−15),10^−15)."". Obviously it makes sense to replace the zeros, as the log function is not defined at zero (resp. goes to - Inf). However replacing the ones seems completely unnecessary to me? Ln(1)=0. There is no problem I can see? There is no extreme at 1. The log is continuous there.",0,None,3,Sat Jun 20 2015 15:44:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14815,/competitions/sf-crime,659th
/anjanaagrawal,imread not defined,"Hello, I am new to Julia... need help to fix the above error. I have tried Images.imread as well.. Still the same error..When I open the Images.jl file, I am able to see this function.",0,None,2,Sun Jun 21 2015 04:25:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14818,/competitions/street-view-getting-started-with-julia,None
/wendykan,Results are now final,"Cheaters removed, and now the results are final. I'd like to thank everyone for participating in this competition. I look forward to seeing you in the next one!",5,silver,3,Sun Jun 21 2015 06:45:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14819,/competitions/predict-west-nile-virus,None
/del=2612cfbf105b37da,How to win this competition,"How to solve this competition. First try the obvious and see what score you get. There are only ten or so PdDistricts but dozens of streets and roads. Get a count of the number of times each kind of crime occurs in a single PdDistrict. If there are twice as many burglaries as assaults for a given PdDistrict then reflect this in the competition entry for that district. Your next competition entry should use the latitude and longitude because some types of crime will occur less frequently in the middle of a middle class area than say where it borders a working class area. This is where looking at a map and getting the latitude and longitude of the middle of each PdDistrict can be handy.Enter the competition again,see your improved score.Then look at time and day of crime and date. Spend more time thinking about a strategy than programming. If you get good at sql queries and can use a little vba in excel you may find life with big data easier than you thought it would be. Avoid R unless you're a genius,it will get you very demoralised!",1,None,6,Sun Jun 21 2015 12:11:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14821,/competitions/sf-crime,None
/faust111,Why are we predicting a probability rather than a binary response?,Why are we predicting a probability rather than a binary response? Surely kaggle will compare our results to the actual binary response? How does it determine a score from our probability? Is 0.7 more correct than 0.6 when the answer is 1?,1,None,2,Sun Jun 21 2015 15:55:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14823,/competitions/GiveMeSomeCredit,None
/bhouwens,Benchmarking Random Forests,"Nice idea, but the test and training data are taken from the same source. Figured out a way to do this with the actual test data yet?",1,None,2,Sun Jun 21 2015 16:16:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14824,None,None
/del=2612cfbf105b37da,Using expanding circles to detect blood and bulges in veins,How to determine if retinopathy is present in an image. Take a circle at each point on the image and see if the average intensity in the circle changes as the circle has its diameter increased. When the intensity changes significantly then note the diameter. From sample images of disease the average diameter of a bulging vein will be known and will correspond to some circled in the test image if disease is present. There can also be many larger circles where blood has escaped into the retina.,0,None,1,Sun Jun 21 2015 16:36:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14825,/competitions/diabetic-retinopathy-detection,None
/uioreanu,sf-crime - online visualization tool with Tableau ,Here is another dynamic Tableau Public dashboard based on the n-dimensional (multi-spatial + time series) data of the competition: https://public.tableau.com/shared/RW448RSPZ?:display_count=yes browsing starts with the puzzling VEHICLE THEFT drop at the end of 2005 (data glitch?),0,None,1,Sun Jun 21 2015 21:30:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14826,/competitions/sf-crime,None
/omaramin,Looking for a team,"Dear All, I'm new to Kaggle and i hope that i can still participate in a team. I teach image processing, computer vision and pattern recognition courses for undergraduates, currently i'm working on my thesis on continuous sign language recognition using Kinect and HMM. I can work for around 15 hours per week. So if any team is interested please let me know. Thanks in advance :)",0,None,10,Sun Jun 21 2015 23:53:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14828,/competitions/denoising-dirty-documents,None
/junshi,Population Model,"Nice write-up. This is an elegant solution. How did you find the parameters for the test years? Also NumMosquitos for the test years since you used it in your tree models. The LB gives AUC only, how to infer the parameters from AUC? Thanks,",1,bronze,11,Mon Jun 22 2015 02:32:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14829,None,None
/ab19026,feature engeering and no SVD,"Obviously,we can make a deep exploration into the correlation between the query and title,description or both.Then we find out some new features that lead to the relevance score.What we are going to deal with is a 4-classification problem. I don't understand where the SVD comes into the competition.In my guess,the query,title and desc may be seen as three documents d1,d2,d3,and we sort out a list of words each of which may appear in the three documents.We calculate the TF-IDF of each word and generator a VSM matrix which has only three columns.At last,we do SVD decomposition on the matrix and find out the key feature(word). In my opinion,the query is too short to form a document and most words of it are key words,there is no necessary to do SVD. Some one enlightens me?",1,bronze,1,Mon Jun 22 2015 10:43:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14830,/competitions/crowdflower-search-relevance,985th
/swbevan,a history of crime,,0,None,8,Mon Jun 22 2015 19:14:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14836,None,None
/parikshitjoshi,"A little late, but here's an R tutorial to get beginners started","Hi, I have put together a low level tutorial for those who are just starting out with R. Nothing fancy here, just some basics to get started with predicting sentiments. :-) http://parikshit-joshi.com/use-r/machine-learning-sentimental-analysis/Cheers!",6,bronze,1,Mon Jun 22 2015 21:21:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14838,/competitions/word2vec-nlp-tutorial,162nd
/sovcharenko,A couple of questions concerning hand labeling,"Hi! The rules of the competition state Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records. Does it mean that one can hand label the train data, like marking lesions or aneurysms? Is unsupervised clustering of candidates for regions of interest of the train images, with further human labeling of clusters, considered cheating? If both of these approaches are against the rules, how do you guys detect class 1? :) Thanks.",1,bronze,2,Mon Jun 22 2015 22:34:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14839,/competitions/diabetic-retinopathy-detection,24th
/derekzh,Message fellow kagglers,"Hi forum, I am scratching my head to look for a way to message fellow kagglers - is it that you need to have certain points to do so? If so, what is the requirement for messaging others? Thanks! Derek",1,bronze,6,Tue Jun 23 2015 01:29:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14843,None,None
/anjanaagrawal,"Another Late Post for Beginners - Facing space/menory issue with DTM using Corpus, Try this","Hello, Interesting post by Andy ""First shot: Sentiment Analysis in R"".. You can follow the same steps and instead of ""Naïve Bayes"", try with ""rpart"" , using ""neg"" and ""vPos"" to get a LB score of .66772.",0,None,3,Tue Jun 23 2015 05:35:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14844,/competitions/word2vec-nlp-tutorial,466th
/drpatrickchan,Word2Vec Glove Starter Any?,"Hi all, Can someone help explain how to nudge the training data into a corpus for word2vec and glove example? Any starter will be extremely helpful in this context. Thanks.",0,None,2,Tue Jun 23 2015 06:33:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14845,/competitions/crowdflower-search-relevance,222nd
/tanmaykulshrestha,Python Seaborn PairPlot Example,"Hi, I get this warning and it closes without plotting. Warning (from warnings module): File ""C:/Users/Ta/Downloads/titanic.py"", line 9 train[""Age""][np.isnan(train[""Age""])] = np.median(train[""Age""])SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy Warning (from warnings module): File ""C:/Users/Ta/Downloads/titanic.py"", line 10 train[""Survived""][train[""Survived""]==1] = ""Survived""SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy",0,None,5,Tue Jun 23 2015 07:20:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14846,None,None
/kevinq,Problem analyzing large data sets,"Hi everyone, I'm relatively new to analyzing large data sets. I tried to run a regression model predicting crime type in R but I believe my local machine (with 8 GB ram) may have a hard time running this. This is my sessionInfo(): R version 3.1.3 (2015-03-09)Platform: i386-w64-mingw32/i386 (32-bit)Running under: Windows 7 (build 7601) Service Pack 1 What are your recommended solutions? Thank you!",0,None,2,Tue Jun 23 2015 07:35:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14847,/competitions/sf-crime,None
/louisz,who can help me,"when i submit the datasets , always has warning--ERROR: Expected 'ID' column to be of type 'String', but was 'Int32'.",0,None,1,Tue Jun 23 2015 10:24:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14848,/competitions/smartphone-user-activity-prediction,28th
/hozcan,too much time to save the results in *.csv file,I am using matlab and it takes less than a minute to process all images in the test set. However it takes quite a time to save the results in a csv file. How do you do this? Why is it not enough to just save only the intensity results for evaluation since they will be in the same order?,0,None,6,Tue Jun 23 2015 15:12:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14850,/competitions/denoising-dirty-documents,63rd
/statdawg,Calculating Benchmark in R,"Hi, this is my first competition and I am looking to get started with calculating a benchmark score before submitting my file with the predicted values. I am not familiar at this point with Python but have some experience with R. Is there an R script available to calculate benchmarks for this competition or is there only the Python script from abishek (which I unfortunately do not understand yet)? Any help from you would be appreciated. Thanks!!",0,None,3,Tue Jun 23 2015 20:09:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14856,/competitions/crowdflower-search-relevance,1320th
/pgagliar,ip adress and property,"Hi guys, I have noticed that in id_all_ip , id_2688334 has 305 IPs in its tuple. And in id_all_property, id_2688334 has 162 properties in its tuple.And i have noticed that for a lot of IDs, the number of IPs is way higher than the number of properties.From what i understood property correspond to domain name, does it?So this difference between the number of IPs and properties, does it only come from company like google that have many IPs for one domain name, or is there an another reason for this number not to match at all?Thanks for your help guys :)",2,bronze,2,Tue Jun 23 2015 21:23:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14858,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/soumyasmruti,Noob Question: How to test features.,i am very new to these type of competition and python. I was following the benchmark code provided by Abhishek and added a bunch of new features but I want to test which are the relevant features. Can some one show me how this is done in Python? or redirect me to a place where it has been done before.,0,None,2,Wed Jun 24 2015 00:36:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14861,/competitions/crowdflower-search-relevance,382nd
/psdhillon,R Help needed: unable to convert few titles to common title,"Hi all, i am held up with a small problem where i am not getting any error from R, but the R argument does not make any changes as desired. Please check below code & help me on this test0<-read.csv(""test.csv"",na.strings=c(""NA"",""""),stringsAsFactors = F)train0<-read.csv(""train.csv"",na.strings=c(""NA"",""""),stringsAsFactors = F) train0<-train0[,c(1,3:12,2)]test0$Survived<-NAcombined0<-rbind(train0,test0) combined0$Title<-sapply(combined0$Name,function(x) strsplit(x,'[.,]')[[1]][[2]]) sub(' ','',combined0$Title)combined0$Title[combined0$Title %in% c('Capt', 'Col', 'Don', 'Sir', 'Major')]<-'Sir' even i am not getting any error on running last argument, but i am unable to convert few titles to Sir. please assist me in finding the problem",0,None,2,Wed Jun 24 2015 03:53:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14862,/competitions/titanic,None
/iezepov,Dumb general question about AUC and evaluation process,"Hello! It is never late for a question, I hope :) Could somebody explain me how are scores calculated? It seems that I do not understand ROC/AUC concept at all. Let me first explain my thoughts about ROC. Assume that I run a logistic regression for some dataset to classify objects into two classes. For every single case, I get a number between 0 and 1, interpreted as probability. For now, everything is clear. Then I should choose threshold - another number between 0 and 1, such that if predicted probability is less than threshold I should assign class 0 for element, and if probability is greater than threshold class will be 1. That is gall clear. Now going to ROC curve. I will use 1000 of different thresholds (0, 0.001, 0.002, ..., 0.999, 1) and make predictions over my dataset. For each threshold, I will calculate True Positive Rate and False Positive Rate, and the plot TPR against (1-FPR). That is ROC-curve, and Area Under this Curve is, surprise, AUC. Is that right? If yes, than how can kaggle calculate AUC, if in my submissions there are only zeros and ones? There is no possibility to test different thresholds. I really do not understand this process. Sorry for a long question, fellows. I would appreciate explanation or useful links:)",2,None,1,Wed Jun 24 2015 12:33:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14865,/competitions/word2vec-nlp-tutorial,53rd
/tinoswe,Inspect tables with pandas,"Hi, a curiosity: how big is the unzipped ""database.sqlite""?",0,None,1,Wed Jun 24 2015 17:03:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14870,None,None
/ashhafez,spell check (python),in case anyone finds this useful [Link]:http://norvig.com/spell-correct.html,2,bronze,2,Wed Jun 24 2015 17:51:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14871,/competitions/crowdflower-search-relevance,52nd
/minhsu,looking for partner,"Hi, This is Min, a data analyst intern in a healthcare company. I had a master degree in statistics and a bachelor degree in applied mathematics. Despite of my education background, I had participated in both national and global mathematical modeling contests and won the first and third prizes respectively. Combined with all these, I have worked in the field of data analysis and statistical modeling for around 5 years. R, SQL and Python are the main programming languages I used for modeling. I am looking for partners for this competition. Please email be back by xuxiaomin19892@gmail.com if you are interested in team up with me. Thanks. Min",0,None,6,Wed Jun 24 2015 18:58:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14872,/competitions/icdm-2015-drawbridge-cross-device-connections,96th
/chinnikrishna55,No Cleaning Benchmark (Streaming),Its giving an error on submission.,0,None,1,Wed Jun 24 2015 22:12:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14874,None,None
/ringring,More trees in random forest lead to overfitting?,"I have a question about the tree numbers of random forest. Now I have a training set and a testing set and I'm experimenting with random forest with scikit-learn. To investigate how the number of trees can affect the performance, I tried tree number as 1, 10 and 100. The ""criterion"" is fixed as ""gini"" and ""max_features"" is fixed as ""sqrt"". I use the training set to train a random forest, and then use the learned model to predict both the training set and testing set. Thus, I can get the score on both training and testing sets. (Higher score means better performance) Here are the results I got under different values of tree number. tree number: 1 score on training set: 0.749744121098, score on testing set: 0.401472994864 tree number: 10 score on training set: 0.929677478529, score on testing set: 0.326100819801 tree number: 100 score on training set: 0.999864390262, score on testing set: 0.369655228201 In my opinion, random forest with more trees is not prone to overfit. However, the above results show that with more trees, we get higher score on training set and lower score on testing set. This means random forest with more trees tend to overfit?",0,None,3,Thu Jun 25 2015 04:56:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14876,/competitions/icdm-2015-drawbridge-cross-device-connections,27th
/jonhourany,Pickling  A Model,How could I pickle a once it's built and trained?,2,None,1,Thu Jun 25 2015 07:13:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14877,/competitions/street-view-getting-started-with-julia,None
/kauarba,cross validation accuracy difference,"kf = KFold(y,n_folds=5) for train_index,test_index in kf: X_train,X_test = X[train_index],X[test_index] y_train,y_test = y[train_index],y[test_index] clf.fit(X_train,y_train) print(accuracy_score(y_test,clf.predict(X_test))) Using the above I have got accuracy score around 0.60 for each fold. I have also used Stratified KFold instead of Kfold and got the same score of 0.60 But using GridSearchCV and passing cv as 5 as shown below I got accuracy score around 0.66 in each fold. model = gridsearchcv(clf,param_grid=param_grid,cv=5) I am not using any extra parameter for the classifier in param_grid. classifier is same in both case. Why there is such a huge difference ? I am new to machine learning. please help.",1,bronze,1,Thu Jun 25 2015 09:24:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14878,/competitions/crowdflower-search-relevance,214th
/anjanaagrawal,Random Forestor ,"Instead of xrange , use ""range"" as the same is not defined from Python 3.x onwards...",0,None,2,Thu Jun 25 2015 10:43:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14879,None,None
/ldocao,Exploratory horizontal bar plots,[Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82720/2630/barh_DayOfWeek.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82720/2631/barh_Category.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82720/2632/barh_PdDistrict.pdf,0,None,1,Thu Jun 25 2015 13:02:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14880,None,None
/priyansu,Score 0,"I have tried a few techniques, but I am getting 0 score everytime. I am not sure how can I make all predictions wrong!",0,None,2,Thu Jun 25 2015 17:22:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14881,/competitions/smartphone-user-activity-prediction,26th
/triskelion,[Deleted Kernel],Thanks. This script scores 0.60083 on Public Leaderboard.,0,bronze,6,Thu Jun 25 2015 17:48:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14882,None,None
/yerzhan19,Include of new crimes from test,"As was given in description, we have to find probability of each category of crime. However, even if it is not making a big error, I am a bit confused: do we have to count crimes that not in train.csv, but that already happened in test.csv (according to date)?",0,None,1,Thu Jun 25 2015 19:02:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14884,/competitions/sf-crime,1033rd
/piyushkumar,Public Sales Data,Hi All I am working on a project where I am trying to blend sales data with some social data. However I am not able to find any time series based social data. For example it would be very interesting to see how super bowl ads affect sales of various items; and then find a correlation between social data signals. Any suggestions for that would be helpful. Thanks,0,None,1,Thu Jun 25 2015 21:15:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14887,None,None
/tannya,More help needed in parsing Russian Character into Python,"Has anyone used character fields like 'Params' in adInfo.tsv? I was trying to use UTF-8 encoding to read into python, df=pd.read_csv('~/AdsInfo.tsv',delimiter='\t',encoding='utf-8',nrows=100) but the column of 'Params' was encoded including the { } that showed this column is a dictionary. u""{817:'\u041a\u0443\u0437\u043e\u0432', 5:'\u0417\u0430\u043f\u0447\u0430\u0441\u0442\u0438', 598:'\u0414\u043b\u044f \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0438\u043b\u0435\u0439'}"" I wonder if there is a way to extract features (eg, 817, 598,...) from these encoded strings?",0,None,1,Fri Jun 26 2015 01:47:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14888,/competitions/avito-context-ad-clicks,108th
/mcwitt,heatmap,"Test script, mostly stolen from ThomasH92: https://www.kaggle.com/thomas92/pkdd-15-predict-taxi-service-trajectory-i/plot-of-trips",0,None,1,Fri Jun 26 2015 01:55:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14889,None,None
/nightcrawler,How to use 'relevance_variance'?,"I have tried some single models and ensemble methods, but the LB score is still low (0.62+). 'relevance_variance' is a key attribute which I have not used. To my understanding, the larger of 'relevance_variance', the lower confidence of the training sample, so it is a soft label problem. So does any guy know that how to use 'relevance_variance'? Thanks very much!",1,bronze,4,Fri Jun 26 2015 04:07:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14890,/competitions/crowdflower-search-relevance,402nd
/anjanaagrawal,Data Exploration -Worked for me,"Hello.. Competition is over.. Sharing some tricks which worked for me and would appreciate views/feedback. I am sure, most of us in this competition would have realized that ""weather.csv"" file is very important from prediction perspective and hence there is nothing new which you will find in the script. However what really worked for me was ""Data Exploration"". Brief on the variables which helped me to end at ""64th"" rank in this competition. Some of the values which were considered for variable creation, are based on the open literature available . DewPoint:Sunrise (Interaction Variable) -à Both the fields are available in “weather.csv” file. CodeSum_New (Type – Binary) ----- > In “weather.csv” file, If CodeSum field has “RA” code, then that day is marked as”1” in both, test and train data set. This field was created considering the fact that mosquitoes are active on a dry day. Tmax_Tmin (Type – Binary) ----- > Difference is calculated between two fields i.e. “Tmax” and “Tmin” from “weather.csv” file . If the difference is between 21-41 , then that day is marked as “1” in both, test and train data set. Sunset (Type – Binary) ---- > If “Sunset” time in “weather.csv” file is beyond 16:47 on a specific day, that day is marked as “1” in both, test and train data set. Tmax_Tmin:Sunset (Interaction Variable) Dry (Type – Binary) --à If “DewPoint” in “weather.csv” file is less than 53 then that day is marked as “1” in both, train and test data set. Dry:Sunset (Interaction Variable) Dry_Wet_Diff (Type – Binary) --à Difference is calculated between “DewPoint” and “WetBulb” fields available in “weather.csv” file. If a difference is greater than “5” than that day is marked as “1” both in test and train data set. Dry: Dry_Wet_Diff (Interaction Variable) Dry:Tmax_Tmin(Interaction Variable) Hot (Type – Binary) --à if value of “Tmax” is greater than 40, then that day is marked as “1” in both , test and train data set.Dewpoint, AvgSpeed,Tmax -à Fieldsfrom “weather.csv” file. Day (Type – Numeric ) -à “Day” extracted from the Date field. Month (Type-Numeric) -à “Month” extracted from the Date field. NumMosquitos, WnvDOYPresent, week, dayofyear, Species2 à Fields created in the code Result_Speed (Type – Binary) -à All the days, where “ResultSpeed” value is less than “11” in “weather.csv”, are marked as “1” in both test and train data set. Win_Speed(Type – Binary) à All the days, where “AvgSpeed” value is greater than “10” in “weather.csv” ,are marked as “1” in both test and train data set. Street_Effect (Type – Binary) à Train data set was filtered for WnvPresent =1. Any street which has appeared more than once in this filtered data set was considered as the risky street and the same was marked as “1” in both test and train data set. spray_effect (Type – Binary) -> “spray.csv” file has data for the year 2011 and 2013. As per the information available on internet, “Culex” virus is generally active for 14 days. So if a spray has been done on a specific day as per the data available in “spray.csv” file, then the effect was considered for +14 days from that specific date and these days were marked as “0” in the train data set. No data is available for spray for the years available in test data set. However as spray file has data for 2011, it was assumed that the concerned agency started the spray work from 2011 and hence the similar days were assumed for 2012 and 2014 for creation of this field in the test data set. Risk (Type – Binary ) à As per the literature available , peak season for this virus growth is from last week of July till first week of September. If spray is not done in this period (i.e. spray_effect=0) and if a day as “Dry” i.e. Dry=1, then the risk of virus is high. All such days were marked as “1” in both train and test data set. Month_Cat (Type – Binary ) -> Any period before June i.e. Month <7 or beyond September i.e. Month >9 , when the chances Wnv presence is minimal is categorized as “1” and rest all other months in the given data set were categorized as “0”.Longitude, Latitude -- > Fields available in the train and test file.",3,bronze,5,Fri Jun 26 2015 06:32:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14891,None,None
/,,,0,None,2,Fri Jun 26 2015 08:04:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14892,None,None
/michalthedude,Feature Extraction on Train data,"Hi All, I was just wondering if someone of you have any idea how to use ""Descript"" and ""Resolution"" variables for further feature engineering? They are not in the test data set, so is it worth to use it? Or maybe its good to find the correlation between any other variables? Like for example, particular resolution occurs only in particular district? Thanks,Michal",2,None,3,Fri Jun 26 2015 14:11:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14896,/competitions/sf-crime,430th
/ldocao,population density heat map,"Hi everyone, I have posted a script to make a heat map of population density using SF open data (https://data.sfgov.org/Health-and-Social-Services/Population-Density-San-Francisco-CA/ea9w-4zvc). To read the data, I need the shapefile module which is currently not installed on kaggle, it's thus impossible to run the code. However, you can check out the results here: https://github.com/ldocao/sf-crime-classification/blob/master/exploratory/figures/population_density.pdf I think relating population density and criminalities can lead to some interesting correlations (not done yet). However, there are still some problems with my current map: 1/ I don't know what are the spatial (x,y) units 2/ The spatial accuracy is not that great, but can't do better with the available data. 3/ The data is available as of 2010 only 4/ There are some glitches of the patches in the map, but it's not that bad",0,None,3,Fri Jun 26 2015 15:33:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14898,None,None
/del=54b88b519911a02e,relation of a device_ID with drawbridge handle?,Can a unique device_ID have multiple drawbridge handles?,0,None,1,Fri Jun 26 2015 17:10:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14899,/competitions/icdm-2015-drawbridge-cross-device-connections,70th
/solution,LDA Visualization,direct link [Link]:https://www.kaggle.io/svf/17820/3f8eb33d8fe94a7fa4505f44c481c1f3/index.html,2,bronze,11,Fri Jun 26 2015 18:11:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14900,None,None
/willieliao,Beat The Benchmark,"Changes for Version 12: Add a lower bound based on the mean of test snapshots to blend with. Add parameter P_pad to increase the estimated trip time based on cut polylines. Increased train records used to 75,000. Currently gets 0.60922 on the LB. Let me know what score it gets if the full train data is used.",0,None,3,Fri Jun 26 2015 19:59:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14903,None,None
/bn1989,Incorrect data?,"I think I have found an error in the data. The variables Parch and SibSp do not seem to be correct for all passengers. It seems as if the number of siblings/spouses and parents/children has been calculated automatically by family name and age. First of all for people with the name ""Andersson"" the family related values don't sum up. E.g. according to the data there are supposed to be 5 children and 2 parents, but there are actually 7 passengers that have 4 siblings. Andersson, Miss. Erna Alexandra and Andersson, Miss. Ida Augusta Margareta (in the test set) both have 4 siblings according to the dataset, but they don't seem to belong to what seems to be the real family, namely: Andersson, Mr. Anders Johan and Andersson, Mrs. Anders Johan (Alfrida Konstant...) being the parents and Andersson, Miss. Ellis Anna Maria; Andersson, Miss. Ingeborg Constanzia; Andersson, Miss. Sigrid Elisabeth; Andersson, Miss. Ebba Iris Alfrida and Andersson, Master. Sigvard Harald Elias being the children. This dataset ( http://lib.stat.cmu.edu/S/Harrell/data/ascii/titanic.txt) also seems to indicate that Andersson, Miss. Erna Alexandra, who according to the data has 4 siblings, is not part of that family, since she is from Ruotsinphyhtaa, Finland New York, NY, whereas the family seems to be from Sweden Winnipeg, MN. Has this problem been discussed before?",4,None,3,Fri Jun 26 2015 20:54:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14904,/competitions/titanic,None
/eumeek,RStudio in AWS & What's the best way to use R for large data?,"Hi I am trying to look at the large data (Avito competition data) using AWS. I managed to open Rstudio in AWS. I only signed up for free service for now, but I don't seem to be able to see all the files in the RStudio file folder (dropbox in this case for RStudio in AWS) Btw, I upgraded my dropbox, so the dropbox capacity is 1TB, and all the files are in dropbox. I am new to AWS. Could someone point to where I should start looking to learn AWS, especially to use R? or is there any other easier way to use R on cloud for large data sets? Thank you so much!!!",1,bronze,1,Fri Jun 26 2015 21:23:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14905,None,None
/carloshuertas,Profiles seems broken,"It appears that you have already been notified according to the error message, but just as a reminder, it is not possible to view profiles at this moment ""Oops:Something went wrong. The error has been logged for site administrators to review. Please feel free to contact us if this error keeps happening.""",3,bronze,4,Sat Jun 27 2015 00:58:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14910,None,None
/wilsta,Stock Market Data,"Hi guys, I've often been frustrated with the lack of fundamental data available for stock market analysis, inference and prediction. So I've manually gathered the data for my own analytical and modelling purposes and thought ... maybe other weekend analysts would find this data useful? I've put my data on a website: www.stock-quant.com Check it out and let me know what you think. Cheers, W",-10,None,7,Sat Jun 27 2015 03:53:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14914,None,None
/winston990839,trial,Really cool!!!,3,bronze,1,Sat Jun 27 2015 16:20:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14917,None,None
/digitaljester,"My ""Titanic survivor in R"" Diary","Relatively new to R, Machine Learning and to Kaggle. This will document my attempt at the Titanic Survivor classification problem on Kaggle. If you happen to be reading this please do not post suggestions/ideas on how to improve my model, I haven't read anything on this at all and want to see how far I can get myself. If you have ways to improve my R code feel free to point them out.",3,bronze,44,Sat Jun 27 2015 16:59:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14919,/competitions/titanic,None
/digitaljester,Can't post R code in forums?,"When I try to post R code in a forum post whether as plain text or within code brackets it appears the forum reformats it in such a way they most of the text is lost. For example R code to load the Titance csv file in plain text data.train <- read.csv(""train.csv"") and in code brackets data.train <- read.csv(""train.csv"") as you can see the actual read.csv(""train.csv"") is lost.",0,None,2,Sat Jun 27 2015 18:42:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14920,None,None
/oren1a,deep learning to callsifiy features to scores,"I have a problem and was wondering if I can use deep-learning to solve it. I have a lists of 7 features, and for each list I have 7 scores. For examples for the features: [0.2,0.6,0.2,0.6,0.1,0.3,0.1]I have the following scores: [100,0,123,2,14,15,2]For examples for the features: [0.1,0.2,0.3,0.6,0.5,0.1,0.2]I have the following scores: [10,10,13,22,4,135,22]etc.. Any ideas of how to utilize deep learning to train a network that giving a list of features will give me back the correct scores. Any tips? Thanks.",0,None,1,Sun Jun 28 2015 03:33:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14921,None,None
/npetitclerc,SearchInfo Table issues - SQLite,"Hi, I'm having issues with the SearchInfo Table (from the SQLite file). First there seems to be an issue with the Private Key because SearchID is not unique: ""SearchID INTEGER, --not a primary key b/c: TSV_no_header/SearchInfo.tsv:1735958: INSERT failed: UNIQUE constraint failed: SearchInfo.SearchID"" Then if I try a simple query on SearchID it doesn't work: SELECT * from SearchInfo WHERE SearchID = 4; This doesn't return anything but I know there is a row with SearchID=4 from a ROWID query: SELECT * from SearchInfo WHERE ROWID = 4; I created a new column (TestCol) and copy the SearchID column to it, that seems to fix the query issue. So I can count the duplicates: SELECT TestCol, COUNT(*) c FROM SearchInfo GROUP BY TestCol HAVING c > 1; |105564817 That seems to indicates that 105564817 out of 112159462 rows have no SearchID?? I'm downloading the SearchInfo.tsv file now to see if it's a bug. Providing the Checksum of the file would be useful given the size of the files. Anyone else facing the same issue?",0,None,1,Sun Jun 28 2015 16:35:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14922,/competitions/avito-context-ad-clicks,288th
/smcinerney,Advice on generating features from training + test sets in CV?,"Advice needed please - I have some fairly stupid questions on parts of my approach that may be questionable. Any quick advice to get me unstuck would be fantastic: My key questions: a) Does using training-set-only words as features artificially influence the CV scores and model? b) Hence should we just use the feature subset common to both training+test? i.e. exclude training-set-only words or not? c) Can we get any useful features out of test-set-only words? (I believe we can - e.g. color names which can be compared to the training-set colors using e.g. HSV values) d) Given the small class sizes and severe class imbalance, can we/must we safely use the entire training set within each particular query both for feature selection and model validation? Seems unavoidable. More on my approach: At the bottom are my current word features for query=='leather mens briefcase'. I am using cv.glmnet with nfolds=3, alpha~0.5, for a blend of L1 (feature selection) and L2 (coefficient stability). I'm coding in R but it's similar to most of your Python approaches (although for text-processing, tm package lacks the power of sklearn). I do the usual lowercasing, punctuation, stopword removal + stemming. I don't yet eliminate sparse terms (will do later) and I currently only do tf (not tfidf) so no SVD yet. Before eliminating sparse terms, I would first need to map synonyms between training-test sets (e.g. 'satchel' -> 'briefcase') and misspellings (right?). Here's one most dubious part: in my DocumentTermMatrix I currently use the terms from both training + test sets, even just when doing CV on the training set (to avoid the [Link]:https://stackoverflow.com/questions/16630627/recreate-same-document-term-matrix-with-new-data/20802476). I hope the terms found only in training-set don't perturb the output of the CV (glmnet model, coefficient stability, recognition accuracy, kappa value) much. Do you just use the feature subset common to both training+test? Does using training-set only words as features artificially influence the CV scores and model? My alternative I guess is to throw away features seen only on test-set, and print a list of those to console so I can see what's getting thrown away. Is it a mistake to directly use the model from CV on training set, to predict on the test set? Or else, how to manually apply the feature-selection from CV? And is the SQWkappa value from training a reliable metric? (Some thoughts on glmnet parameters: cv.glmnet with nfolds>=3 seems to be robust to the severe class imbalance, as SVM also is, and better than RF and multinomial NaiveBayes (which are a disaster with this class imbalance, even with manual oversampling). I use the glmnet parameters: family='multinomial' (One-Against-All) , type.measure='mse' which seems to be a harsh loss-function, though not as harsh as SQWkappa. I did wonder about trying n multiple random seeds and picking the model with best kappa - Opinions? Looks like a nightmare to hack a custom type.measure='SQWkappa' into cv.glmnet.) Anyway to illustrate, below are the current word features for query=='leather mens briefcase' (currently only 1-grams, and only from product_title. Full vectorization with n-grams maybe later). The stemming makes it slightly hard to match them back to the raw product_title, but you get the general idea: ** TERMS COMMON TO training+test ** balli belt bifold billfold black briefcas brown buckl burberri card case class clean colorblock compact condit diva doubl dove extra ferragamo flap fresh frye genuin ghurka gold gray gusset ladi laptop leather logan london luxuri mcklein mckleinusa meguiar men mencar multi new one perotti red remov rich royc salvator satchel shoulder size sleev spray strap toni trifold vintag wallet winnetka yellow zip ** TERMS ONLY IN training ** 17inch 25ct 42ounc alpin bag beig bill block bullhorn calexico camouflag canva canvasleath casual checkbook chesnut chestnut chronograph clip coin deodor doublecompart eau embark expedit ferrari field flipout foldout form front game garrison givenchi holder hybrid italico lambskin light loew long lorca louisvill money navi osfa overs pink plum pocket print purs qualiti race rast rfid roll scuderia section slimlin slot slugger soft spring stamp stoke superb swiss timberland timex tod toilett topzip tote twill veneto watch william window wipe women zeyner zipper ziptop ** TERMS ONLY IN test ** 100 152oz accent amber anvil aqua around astor attach automat bahama bar basketweav bbq beacon ben blue boconi bodi bosca bottega box brief brompton brookfield burnish busi calf capac chocol classic closur cognac color commut compani compart comput credit ctm dark darrow david daxx deboss deep delux design dopp dorilton edg emboss espresso eton euro examin execut expand face file floral fulton gift glove grant green grey hair hammer handl handtool henderson high hill hipster irv jack jacket jackson jacob jourdan just king knomo law lawyer lock man marc mason minkoff mobil nonwheel ostrich passport portfolio rawl reviv sea select shampoo singlegusset sleek slim small solo spade stylish tan telag tommi top topload topstich tribeca tripl tumbl tumi tyler umber veneta venezia warwick wkhaki woven zodaca",0,None,2,Mon Jun 29 2015 02:13:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14923,/competitions/crowdflower-search-relevance,1044th
/smcinerney,Installed R Packages,"This is an overlooked little gem! ready for diffing. (although installed.packages()[,'Version'] nearly does the same)",3,None,1,Mon Jun 29 2015 05:49:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14925,None,None
/koobear,Another late R tutorial!,"https://drive.google.com/file/d/0B_sqyEYBKc1wVm4xN0NvQlJlNWc/view?usp=sharing For beginners, by a beginner. I'll have the final part done by tomorrow. The final part is done! Please let me know what you think.",2,bronze,3,Mon Jun 29 2015 05:57:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14926,/competitions/word2vec-nlp-tutorial,142nd
/jscheibel,t-sne visualization,"I often use old interesting data sets for testing new ideas and code. I enjoyed this contest and have kept my database model of its data up to date for testing purposes. That being said, I've been working on trying to get a linear run-time/space requirement version t-sne working (personal project) and have used this (among other datasets) to make sure things are working right. I thought it would be fun to share what the visualization of this data through t-sne (something that didn't, i think, exist 2 years ago and would have really changed the results in the leaderboard had the competitors had it as a tool) regardless enjoy! The images represent 4500 itterations of t-sne using 2048 randomly selected rows. no feature engineering. epsilon was 10, dimensions was set to 2, and I varied the perplexity from 2 on up to 12. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2648/9695drawing-2.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2649/9695drawing-6.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2650/9695drawing-3.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2651/9695drawing-5.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2652/9695drawing-4.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2653/9695drawing-8.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2654/9695drawing-10.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2655/9695drawing-9.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2656/9695drawing-11.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2657/9695drawing-12.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82884/2658/9695drawing-7.png",1,bronze,4,Mon Jun 29 2015 06:07:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14927,/competitions/bioresponse,99th
/signipinnis,Did anyone use actual spatio-temporal or geostatistical pkgs ? ,"I haven't seen any comments that suggested any competitors used real, purpose-built spatio-temporal packages on this .... or even auto-correlated time-series ... so I'm: (a) curious to find out if anyone really did try any of those specialized packages, and (b) hoping for a quick summary of how it worked. In theory, one of the main advantages of the true spatial packages is that you can model/control the strength of influence of geographically nearby data points. And with the more sophisticated stuff, you can apparently even determine if such effects are reasonably uniform in all directions, or asymmetric. Now in my work I don't do a lot of time series work per se, and for geo stuff I have rarely needed to do anything more sophisticated than drop some kinds of descriptive stats onto a map. So being basically ignorant and ill-prepared for a real spatio-temporal data analysis project, I did some research in this area, and ultimately decided that the learning curve required more effort than I was likely to have time to do. (That in retrospect was certainly an accurate guess.) So I kludged together a hierarchical approach as the poor man's quick and dirty alternative, using some grid based models as the geographical base, and many-many lagged weather variables in lieu of true time-series models. Then I applied more flexible ML-algorithms to try to explain the local variances. Seemed like a reasonable overall approach to me, but I didn't do near enough work to keep from overfitting. (I also refused to probe the LBS to determine year-weights for the Test years; yes, I know I'm stupidly hard-headed about that.) Did competitors make a conscious choice to not use time-series and/or geo-statistical and/or spatio-temporal packages, or not know such specialized packages existed, or did most of us just use the the normal comfortable portfolio of ML-algorithms under the assumption they would be good enough (given some decent engineering of features) ?",2,None,3,Mon Jun 29 2015 06:19:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14928,/competitions/predict-west-nile-virus,249th
/justaengineer1,Time series AR(2): Why $\phi(1)=\lambda(1)/\lambda(2)$,"I'm follow Shumway & Stoffer's [""Time SEries Analysis and Its Applications With R Examples: EZ -- Third Edition""](http://www.stat.pitt.edu/stoffer/tsa3/tsa3EZ.pdf). In Example 24 on page 82, the very first equation shows that $\phi_{11}=\gamma(1)/\gamma(0)$, based on (3.46) or (3.48) earlier on the same page. However, $\gamma(0)$ does not appear in either of those equations. I was wondering if anyone could point out what $\phi_{11}=\gamma(1)/\gamma(0)$ is based on? I've posted this to: * [kaggle](http://www.kaggle.com/forums/f/15/kaggle-forum/t/14929/time-series-ar-2-why-phi-1-lambda-1-lambda-2) * [Cross Validated](http://stats.stackexchange.com/questions/159125/time-series-ar2-why-phi1-lambda1-lambda2) * [sci.stat.math](http://groups.google.com/forum/?hl=en#!topic/sci.stat.math/jQH8sDicjY4)",0,None,1,Mon Jun 29 2015 07:30:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14929,None,None
/bhavesh123,Which String Distance Method is best among all in R,I am not able get the distances measures of stringdist Package in R,1,bronze,3,Mon Jun 29 2015 09:13:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14931,/competitions/crowdflower-search-relevance,None
/abudniy,Ensemble methods perform worse,"Hello, I am a beginner in ML. Titanic competition is actually my first practical task. I apply different techniques trying to achieve a score over 0.90 :) Obviously I came across ensemble methods. I tried to combine several models (for example some kind of tree with logistic regression), where each model is quite good - let's say both giving me a score around 0.8. However, after combining them - let's say using blending, averaging their prediction, score usually goes down. Let's say can drop to 0.78. I've seen it in my experiments and I also read several blog posts from different people having the same effect. I assume it all depends on models, the way of ensemble them etc. However, without going deep into details, can someone please give me an intuition how it is possible that good models perform worse after simple combination. Is it some kind of overfitting? Also I am wondering is it a good idea to try to make each individual models as good as possible before combining them, or it is a key of success to combine models which are purposely weak? Thanks!",5,None,2,Mon Jun 29 2015 09:35:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14932,/competitions/titanic,None
/saketkunwar,Number of cookie_id per device_id,"Hi The sample submission shows only one cookie_id per device_id. Is this correct, i think device_id can have more than one cookie_id, in which case the sample submission does not have example of proper formatting for device_id having more than one cookie_id. if it can have more than one cookie_id, could you provide a sample! thanks",0,None,3,Mon Jun 29 2015 18:09:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14934,/competitions/icdm-2015-drawbridge-cross-device-connections,41st
/devinanzelmo,Use of future data,"Just to make sure this is absolutely clear. Are we allowed to use the data from subj1_series6 in training for subj1_series5? It seems that this is allowed from reading the data page, but I would like to check because it is using future data.",1,None,20,Mon Jun 29 2015 19:23:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14935,/competitions/grasp-and-lift-eeg-detection,107th
/abhishek,Beating the Benchmark ;),"Hi All, Attaching a beating the sample benchmark here. Python code. Code will be available here and on scripts (if enabled for this competition). Code is simple and well commented. Ask me questions, if you have any! Don't forget to swipe right on Tinder, if this post helped you :P Score < 0.40 MOVED TO : https://www.kaggle.com/abhishek/caterpillar-tube-pricing/beating-the-benchmark-v1-0 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82915/2659/benchmark.py",27,gold,9,Mon Jun 29 2015 19:46:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14936,/competitions/machinery-tube-pricing,25th
/root777,Looking for a team-mate,"Hey there, I'm trying to start a team, or join a team. My experience: R programming, Python, SAS EM, Weka, and SQL I have a background in social data mining and text mining. Please email me if you want to team up, ravi_cse04@yahoo.com Thanks, Ravi",0,None,3,Mon Jun 29 2015 20:33:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14938,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/timcdlucas,Beat the benchmark in R,Mostly just a translation of Abisheks [Link]:https://www.kaggle.com/c/caterpillar-tube-pricing/forums/t/14936/beating-the-benchmark. Beat the benchmark with a linear model in R. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/82924/2660/benchmark.R,4,bronze,3,Mon Jun 29 2015 21:54:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14939,/competitions/machinery-tube-pricing,1035th
/beanor,Why is this competition closed?,I realize I'm late to the party but I just tried to make a submission and was denied with 'This competition is closed to new entrants'. Sorry if this is a silly question but are kaggle competitions usually closed for new submissions close to the deadline? And is there a reason for not allowing latecomers? Just want to know if this is something I should be aware of for future competitions.,0,None,4,Mon Jun 29 2015 22:43:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14941,/competitions/pkdd-15-taxi-trip-time-prediction-ii,None
/annavictoria,1st Submission Deadline in 2.5 hrs,"A reminder that we are closing in on the first submission deadline. Be sure to make a valid submission in the next 2.5 hours if you'd like to participate in this competition! Not sure where to start? Take a look at the benchmark submissions on [Link]:https://www.kaggle.com/c/crowdflower-search-relevance/scripts, including: [Link]:https://www.kaggle.com/abhishek/crowdflower-search-relevance/beating-the-benchmark by Abhishek [Link]:https://www.kaggle.com/benhamner/crowdflower-search-relevance/python-benchmark by Ben Hamner",3,bronze,9,Mon Jun 29 2015 23:30:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14942,/competitions/crowdflower-search-relevance,None
/devinanzelmo,components.csv has one misformatted row,"C-0679,FLANGE, 4-BOLT,CP-003 The above row has four elements, while every other row in the file has only three. This makes pandas read_csv not work.",4,bronze,4,Tue Jun 30 2015 01:39:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14944,/competitions/machinery-tube-pricing,548th
/d3potf,Step 1 to 0.02572,https://www.kaggle.com/d3potf/denoising-dirty-documents/step-1-get-typical-traindata I have 4 steps 2 - is get more data but filter it to give more samples of those not represented that much in the 4% set 3 - build Model 4 - using test set generate results set,1,bronze,3,Tue Jun 30 2015 09:33:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14946,/competitions/denoising-dirty-documents,24th
/wildwizard,Should the evaluation method change our approach?,"Hello I would like to learn from you experienced kagglers, if the evaluation method (RMSE, RMSLE, ROC curves) should change our approach to the problem? I am not talking about optimization and eventual methods to probe the LB, but from an algorithmic perspective, indeed? My first guess is mixed. I think that some algorithms natural trend or mechanisms will indeed yield better results than others, but they also have to be adapted to the data context. Thanks by advance for your insights.",0,None,5,Tue Jun 30 2015 10:17:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14949,None,None
/anarimrevol,Prediction as binary classification,"Hi, From one of the earlier threads, https://www.kaggle.com/c/icdm-2015-drawbridge-cross-device-connections/forums/t/14480/binary-classfication-task I am having trouble understanding how you would use such a training formulation during prediction. If I have a training set with correct or incorrect pairs of (device_id_train, cookie_id) and a corresponding label, does this mean during prediction, I will have to predict using (device_id_test, cookie_id) for all available cookie ids and return the ids for which the classifier predicts 1? How is this feasible? Or have I misunderstood binary classification for this problem?",3,bronze,11,Tue Jun 30 2015 10:53:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14950,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/udayabhanu,"SVR in R solution, is it better? ","Hi All, I am planning to use SVR (Support Vector regression) for this problem. Does anybody have any idea if it would be better than 0.45 error value? Thanks Udaya",1,bronze,3,Tue Jun 30 2015 12:30:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14951,/competitions/machinery-tube-pricing,326th
/kumapri,Error: cannot allocate vector of size 263.1 Mb,"Hi, I am trying random forest model in R. Getting error - Error: cannot allocate vector of size 263.1 Mb Can someone help in this regard. I am not sure how to predict on test data as it is huge. Preeti",0,None,1,Tue Jun 30 2015 13:22:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14952,/competitions/sf-crime,1814th
/broccoli7,Trouble with data,"When I try to download the data, I see only data.zip and the sample submission file. Where are the rest thats being described in the descriptions page? Wondering if anyone else is seeing this",0,None,1,Tue Jun 30 2015 16:38:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14953,/competitions/machinery-tube-pricing,None
/taffeylewis,No scripts?,Interesting that scripts aren't enabled here. The other new competition (grasp-and-lift) has scripts enabled. Curious as to why?,1,bronze,3,Tue Jun 30 2015 20:06:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14957,/competitions/machinery-tube-pricing,None
/eduinhserna,why 44221_left.jpeg  (train) in level 0?,,0,None,3,Tue Jun 30 2015 23:48:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14960,/competitions/diabetic-retinopathy-detection,None
/mangoengineer,Non-bracket pricing,"Hi everyone, I've got a question concerning the non-bracket pricing products in train_set.csv According to the data description, the non-bracket price is applied only when the order amount is bigger than [min_order_quantity]. For example in row 79 of train_set.csv, for product TA-00048, [min_order_quantity] = 20 In this case does the column [quantity] still have meaning to the non-bracket pricing products? Since in row 79, [quantity] = 1, which is smaller than [min_order_quantity]. Do we need to consider dropping the [quantity] column if we want to train a model based on the non-bracket pricing products data only? Thanks a lot! Best Regards, Mangoengineer",0,None,33,Tue Jun 30 2015 23:59:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14961,/competitions/machinery-tube-pricing,320th
/easwerc,Entity Relationship Diagram of the given data,"Hi All, Attached with is the ERD that I had put together. Hope its useful. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83029/2665/CAT_ER.png",91,gold,11,Wed Jul 01 2015 01:21:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14963,/competitions/machinery-tube-pricing,881st
/guidotapia,Any info on how the train/test datasets are split,"It is clear that there is some logic behind the train/test split as shuffled CVs give an overly optimistic result. I can see from very quick look into the data that the tube assembly ids could pollute the models, but even with this removed order still matters. Anyone managed to figure this out? Note: Using unshuffled KFold splits mitigates this and gives some what accurate CV scores. Verify this with a holdout set taken from the tail of train set and you get accurate LB representation.",2,bronze,8,Wed Jul 01 2015 02:22:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14964,/competitions/machinery-tube-pricing,322nd
/catalinatenoriocruz,submission scored NULL?,"why does it say ""your submission scored NULL""??? does that mean it was not properly submitted? I have send it 2 times and continues showing the same message... somebody knows the reason? thanks!",0,None,1,Wed Jul 01 2015 02:39:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14965,/competitions/crowdflower-search-relevance,1038th
/vinhkhuc,Post competition solutions,"Hi all, Since the competition is over, it would be great to have a topic to discuss the solutions. My submission has the LB score of 0.97663. It is based on the ensemble of NBSVM, Paragraph Vector and Gated Recurrent Neural Network. The code is at: https://github.com/vinhkhuc/kaggle-sentiment-popcorn.git I also would like to know about other approaches.",22,silver,23,Wed Jul 01 2015 04:39:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14966,/competitions/word2vec-nlp-tutorial,3rd
/crimeprophet,Good Luck!,Well... I've used all of my submissions... Nothing left but to take Mike's advice to grab a beer and wait! Good luck everyone!,1,bronze,2,Wed Jul 01 2015 05:04:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14967,/competitions/pkdd-15-predict-taxi-service-trajectory-i,26th
/ca1ypso,database.sqlite.zip,"Hi, I was wondering what this zip file contains (database.sqlite.zip)",0,None,8,Wed Jul 01 2015 09:04:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14970,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/jordangoblet,"How should we define the ""possible"" pairs we need to score?","If we build a classifier on the pairs cookieID-deviceID for which we have the binary tag, how should we define the apply set i.e. the ""possible"" pairs we need to score?",0,None,2,Wed Jul 01 2015 10:36:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14971,/competitions/icdm-2015-drawbridge-cross-device-connections,24th
/del=2d7604b910c94710,How are you handling the massive amounts of data?,"I have used the PostGreSQL import script that was mentioned in another thread, but I find that running queries is painstakingly slow. How are you guys processing the massive amounts of data?",1,bronze,8,Wed Jul 01 2015 10:58:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14972,/competitions/avito-context-ad-clicks,None
/signipinnis,How long is a price quote from a given supplier good for ?,"I've just done a quick read, but I didn't see anything on this. 90days? 6 months? 12 months? Also, is there any info from Caterpillar (or insights from the data) about what triggers a new price quote?",0,None,1,Wed Jul 01 2015 15:07:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14974,/competitions/machinery-tube-pricing,325th
/alexandrebarachant,"A bit of Neuroscience: CSP, mu & beta suppression with mne-python","Hi, Here is a [Link]:https://gist.github.com/alexandrebarachant/c929834f1a68c2728d35 that shows spatial pattern, mu & beta suppression using mne-python. During a hand movement, the mu (~10Hz) and beta (~24Hz) oscillations are suppressed over the contralateral motor cortex, i.e. we can observe a reduction of the signal power in the corresponding frequency band. I used [Link]:https://github.com/mne-tools/mne-python to epoch signal corresponding to the hand movement, by assuming that the hand movement occur before the 'Replace' event. Using Common spatial patterns algorithm, i extract spatial filters that maximize the difference of variance during and after the movement, and then visualize the corresponding spectrum. the results (for subject 1)are the following : We can see the pattern corresponding to the left motor cortex (right hand), and the clear mu and beta suppression. Enjoy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83078/2666/CSP_pattern.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83078/2667/spectrum.png",15,gold,10,Wed Jul 01 2015 15:40:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14975,/competitions/grasp-and-lift-eeg-detection,1st
/dchudz,Vehicle Thefts or Jerry Rice Jubilation?,Nice find!,1,bronze,3,Wed Jul 01 2015 16:15:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14977,None,None
/chuckbolin,Common Spatial Pattern with MNE,"Hi, I'm still somewhat new to Python. Shouldn't the script include an ""import mne"" at the top? Maybe it isn't required. This [Link]:http://martinos.org/mne/stable/getting_started.html provides instructions for verifying that MNE was installed correctly. Regards, Chuck",0,None,24,Wed Jul 01 2015 17:32:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14978,None,None
/ashhafez,odd search result in train.csv?,"Anyone else see this one too in train.csv? Just want to make sure i'm not going crazy ... 13650,""cocoa butter"",""Suave Cocoa Butter with Shea 18-ounce Body Lotion"",""Team: San Francisco 49ersMaterials: PolyesterCarrying handlePadded seatDimensions: 29 inches tall x 21 inches wide x 2 inches deep"",4,0",1,bronze,8,Wed Jul 01 2015 20:27:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14981,/competitions/crowdflower-search-relevance,52nd
/rshah4,Beating the Benchmark v1.0,This gave me a score of 0.388632,1,bronze,2,Wed Jul 01 2015 21:26:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14982,None,None
/kazanova,"If someone wins the 250 $, Can they give it to Greece?",We need the money to pay the IMF guys ! :D,10,silver,8,Wed Jul 01 2015 21:43:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14983,/competitions/pkdd-15-taxi-trip-time-prediction-ii,67th
/truepad,Posting on Kaggle,I am preparing to post a competition on Kaggle that will have a significant monetary reward. I was wondering if anyone had recommendations about people who would be willing to offer outside consulting for the best way to post a competition on Kaggle. Thanks,1,bronze,2,Wed Jul 01 2015 23:50:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14985,None,None
/stevendu,Mobile friendly Kaggle ?,"Hi. From my android phone,chrome browser, I was unable to read the full script as shown in attached image. And I was unable to reply a post , after click reply window no keyboard come out ... not sure if anyone got same problem. So will there be a mobile friendly Kaggle? Admin please help to move to somewhere if off tpoic here. Very hard to type , edit and copy+v using a mobile phone now. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83159/2672/Screenshot_2015-07-02-09-22-43.png",4,bronze,1,Thu Jul 02 2015 03:36:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14987,/competitions/crowdflower-search-relevance,497th
/willieliao,Method Sharing,"Congrats to all the winners. For my submission, the idea was to do something quick and dirty without the usual time-consuming steps of modeling, cross validating, and ensembling. Whereas my posted benchmark code used 1 point to find similar trajectories, the final submission used 2 points. Below is the recipe. Only use the most relevant rows. For example, to predict for 2014-12-21 at 14:30, only use train data from the afternoons of Sundays before public holidays. Only use the most relevant columns. Basically, just timestamp and polyline. Look up the most similar trajectories in train for each test case. For simplicity, only the starting locations and the cut-off locations are compared. (Train trajectory is cut to about the same length as test). Similarity features include distance, overall bearing, and last bearing. Calculate the average of coordinates and log(polyline length), weighted by similarity. Thresholds chosen based on intuition and looking at a couple of examples to make sure enough similar trajectories are used.",9,silver,14,Thu Jul 02 2015 03:48:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14988,/competitions/pkdd-15-taxi-trip-time-prediction-ii,24th
/tanayz,test benchmark,This code when run in python in local ubuntu/windows throwing an error UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 3: ordinal not in range(128) Any idea if kaggle script is using any specific setting.,0,None,3,Thu Jul 02 2015 04:35:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14989,None,None
/r4ch31r,Scoring Method,"""Evaluation Submissions are evaluated one the Root Mean Squared Logarithmic Error (RMSLE). The RMSLE is calculated as √(1n∑i=1n(log(pi+1)−log(ai+1))2) Where: n is the number of price quotes in the test setpi is your predicted priceai is the actual pricelog(x) is the natural logarithm"" I just noticed that for this competition, a lower score is the better score. Why is the evaluation formula so complex? Can someone explain the intuition behind it? Thanks.",0,None,9,Thu Jul 02 2015 05:08:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14990,/competitions/machinery-tube-pricing,1193rd
/del=b05f7807d50dd9b6,definition of annual_usage?,Does it mean the number of times orders were placed with a supplier for a particular tube?,2,bronze,11,Thu Jul 02 2015 05:26:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14991,/competitions/machinery-tube-pricing,None
/ampaho,White-Collar vs. Blue-Collar Crime in SF,Blue-Collar vs. White-Collar crime maps in San Francisco. The next step is to show with a k-means clustering the neighborhoods in which each type of crime is prevalent. You can fork the script and add the clustering bit. Have at it!,0,None,9,Thu Jul 02 2015 05:35:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14992,None,None
/pdamo15784,Getting Started with R tutorial question,Can anyone explain the following line in the tutorial: 96-d.train$nose_tip_x[1] I understand that d.train$nose_tip_x[1] is the location of the x coordinate of the nose tip of the first image. What does 96-d....signify?,0,None,3,Thu Jul 02 2015 05:41:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14993,/competitions/facial-keypoints-detection,None
/robertoneil,How to get top 10 with a non-ML approach,"This scores a 2.17807 on the private leader board (would get 10th). The approach only uses the trajectory data - nothing else. 1. Convert the lat / lon data to meters (I used python and basemap for this). 2. Simplify the trip data - using [Link]:https://en.wikipedia.org/wiki/Ramer–Douglas–Peucker_algorithm on the gps data to simplify the routes (I used an RDP threshold of 30 meters). 3. Convert the trip point data from the sparse points into something more continuous - the idea being we want to compare trips to see if the taxi is on the same road or not. Here I interpolated between the RDP points and placed a point every 40 meters. 4. Find the closest 5000 training trips based on the starting point of the test trip. 5. Ignore any training trips that don't have a point within 50 meters of the last point of the test trip, that travel > 1km in 15 seconds or that are less than 95% of the length of the test trip. 6. Use Dynamic Time Warping to compare the trips (this helps to remove training trips that happen to pass by the final point of a test trip, but otherwise are very different - for example they pass the point by are going in the opposite direction) - drop trips that have a low DTW score - defined by (DTW / trip length) < 3. 7a. Check to see if a trip is 'returning home' because the taxi operator forgot to turn off the GPS unit, or they're doing a round trip or whatever (do this by seeing if the end point is closer to the start than the mid-point of the trip). If the trip is 'returning home' use the starting point as the estimated destination. 7b. If not 'returning home' use the matched trips average their final location. 7c. Finally, if no matching trips are found use the average value of all the other successfully matched test trips. Attached are a few plots that show the starting point for the test trip in GREEN the end point of the test trip in RED and the end points for the matched training trips in BLUE. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83170/2673/trip9.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83170/2674/trip11.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83170/2675/trip10.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83170/2676/RDP_DTW3_DIST50_ENDPT_Smarter_05-21-15_23-22.csv",10,silver,4,Thu Jul 02 2015 05:57:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14994,/competitions/pkdd-15-predict-taxi-service-trajectory-i,18th
/qmaruf,What is the difference between trial and series?,"I have found the following line in Data page. There are 12 subjects in total, 10 series of trials for each subject, and approximately 30 trials within each series. It seems subject refers to person here, but what is the meaning of trial and series?",0,None,5,Thu Jul 02 2015 07:33:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14997,/competitions/grasp-and-lift-eeg-detection,None
/ferriswheel,"High train score, very low test score","This is not related to a Kaggle competition but rather I am doing data analysis as part of my undergraduate Honours thesis. I am still new to machine learning so I may have a big misunderstanding here but here it is: I am using scikit-learn for my data analysis, classification. Many of the tutorials for that use the Iris dataset and test different methods on the dataset, taking the whole thing as a training set and then validating the model on itself getting a high value of 95+% usually. I am getting a 100% fit on my training set which is not unusual, however when I do cross-validation and test/train splitting I am getting sub 40% accuracy scores. Does this mean anything in particular? It seems strange to me that a model can predict itself 100% of the times but on an out-of-sample set produce a response that more or less means no correlation (3 classes).",5,None,10,Thu Jul 02 2015 08:05:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14998,None,None
/sharmaharshit,Hidden Markov Model anyone?,"Just curious if anyone applied HMM to solve this problem ? I couldn't get enough time to apply this approach , rather used multinomial naive bayes because it was less time consuming and easier to implement .",0,None,6,Thu Jul 02 2015 10:08:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/14999,/competitions/pkdd-15-predict-taxi-service-trajectory-i,279th
/agamemnon,Is MATLAB use allowed ?,Can we use MATLAB for the competition? And would this comply with prize claiming rules? Thanks.,1,bronze,5,Thu Jul 02 2015 10:30:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15000,/competitions/grasp-and-lift-eeg-detection,None
/robby75,TA-04114?,"Perhaps only the organizers can answer this question. The tube_length of Tube_Assembly_ID TA-04114 has been given as 0. Perhaps it should be 40 or thereabouts. Kindly check. Thanks,",2,bronze,12,Thu Jul 02 2015 10:46:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15001,/competitions/machinery-tube-pricing,740th
/applenew,"Dang Ky lap Mang FPT Bien Hoa, Dong nai","Bien Hoa la mot trong nhung do thi phat trien nhat tai Viet Nam. TP.Bien Hoa den nam 2030, tam nhin nam 2050 da duoc UBND tinh phe duyet tu nam 2014. Sau hon 2 nam trien khai da lam thay doi dan dien mao cua thanh pho, gop phan rat lon trong su phat trien cua dia phuong. Tuy nhien, trong qua trinh thuc hien da phat sinh nhieu bat cap ve chuc nang su dung dat tai nhung vi tri dac thu, nhu: khu vuc da duoc khai thac da, hoac tren nen hien trang dan cu dong duc, chi phi den bu giai toa lon, phuong an khai thac kinh doanh, su dung dat khong hieu qua, kho keu goi dau tu, mot so tuyen duong giao thong co lo gioi nho, khong dam bao luu luong giao thong, khong dong bo lo gioi lam phat sinh them nut giao cat, gia tang ap luc giao thong. Mat khac, hien nay thanh pho Bien Hoa da keu goi dau tu mot so tuyen duong quan trong theo hinh thuc BT (hop dong xay dung - chuyen giao), tien hanh khai thac quy dat de tao nguon von tai dau tu ha tang va nang cao hieu qua su dung nham phat trien kinh te - xa hoi. Do do, viec dieu chinh cuc bo quy hoach chung TP.Bien Hoa lan nay se khac phuc duoc nhung ton tai lau nay, dam bao khong anh huong nhieu den tinh chat, ranh gioi, dinh huong phat trien chung cua thanh pho va khong pha vo cau truc, dinh huong khong gian quy hoach chung cua tung phan khu. De trien khai cac du an trong diem theo quy hoach neu tren, thoi gian qua lanh dao thanh pho da tap trung chi dao cac phuong, xa, Doi Quan ly trat tu do thi TP.Bien Hoa cung cac nganh chuc nang tang cuong cong tac quan ly xay dung tren dia ban. Vua qua, cac phuong cung da trien khai xu ly hang loat cac cong trinh xay dung trai phep o khu vuc Khu cong nghiep Amata, phuong Long Binh va cac dia phuong ""nong"" ve xay dung khong phep, nhu: Trang Dai, Long Binh, Tam Phuoc va Phuoc Tan. Thanh pho chi dao quyet liet, giao trach nhiem cho cac phuong, xa trong viec tang cuong cong tac quan ly, neu dia phuong nao de xay ra tinh trang xay dung trai phep thi can bo lanh dao se bi xu ly ky luat. I. Dich Vu Mang FPT Bien hoa. Viec dieu chinh quy hoach tap trung nhieu o khu vuc xa Hiep Hoa. Tai day, khi du an xay dung cau An Hao trien khai thi tinh trang ""sot dat"" da xay ra, nhat la viec mua ban dat nong nghiep dien ra kha phuc tap. Truoc tinh hinh tren, thanh pho da chi dao co quan chuc nang tang cuong cong tac quan ly. Thoi gian qua so luong khach hang muon su dung [Link]:https://internetvietnam.net/dang-ky-lap-dat-internet-fpt-tai-bien-hoa.html ngay mot nhieu hon. Cong ty vien thong fpt Dong nai da dan mo rong pham vi phuc vu mang cap quang cho quy khach hang noi day. Khuyen mai lap mang fpt Dong Nai, Nhan dip nang cap ha tang ADSL va bo sung moi 100% ha tang GPON (Cap quang fpt gia re), FPT Dong Nai se thuc hien chuong trinh sieu khuyen mai danh rieng cho khach hang ki moi. Theo do, khach hang dang ky lap mang FPT Dong Nai va cac khu vuc co ha tang cua FPT nhu : Long Thanh – Long Khanh – Dinh Quan – Trang Bom va Tp Bien Hoa duoc huong uu dai dac biet. II. Lap Mang Internet FPT Bien Hoa. FPT Telecom han hanh gui toi quy khach hang chuong trinh khuyen mai lap mang fpt ha long va tat ca cac khu vuc co hang tang quang hoa cua FPT. Khach hang se duoc su dung 1 duong truyen hoan toan bang cap quang fpt, toc do lon hon cong nghe ADSL rat nhieu lan voi gia cuoc phu hop voi ho gia dinh va Doanh Nghiep nho voi nhieu goi cuoc cho khach hang lua chon. De dap ung su mong moi cua Quy khach hang ve mot HE THONG GIAI TRI TOAN DIEN tai gia dinh, FPT TELECOM chinh thuc cung cap dich vu truyen hinh thong minh FPT Play HD danh cho ho gia dinh. Nhan dip nay chung toi thuc hien Uu dai dac biet danh cho toan bo khach hang Lap mang FPT Long Thanh – FPT Long Khanh – FPT Dinh Quan – FPT Trang Bom va FPT Bien Hoa thuoc FPT Dong Nai cho 100 khach hang dau tien dang ky moi voi uu dai dac biet. Voi phuong cham ""Moi dich vu tren mot ket noi"", FPT Telecom Dong Nai luon khong ngung nghien cuu va trien khai tich hop ngay cang nhieu cac dich vu [Link]:https://internetvietnam.net/dang-ky-lap-dat-internet-fpt-tai-quan-7.html, fpt Biên hoà gia tri gia tang tren cung mot duong truyen Internet nham dem lai loi ich toi da cho khach hang su dung. Dong thoi, viec day manh hop tac voi cac doi tac vien thong lon tren the gioi, xay dung cac tuyen cap quang quoc te la nhung huong di duoc trien khai manh me de dua cac dich vu tiep can voi thi truong toan cau, nang cao hon nua vi the cua FPT Telecom Dong Nai noi rieng va cac nha cung cap dich vu lap internet fpt quan 8, fpt Biên Hoà vien thong Viet Nam noi chung.",1,None,2,Thu Jul 02 2015 12:22:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15003,/competitions/titanic,None
/weimin,specs.csv,"According to This file contains the list of unique specifications for the tube assembly. These can refer to materials, processes, rust protection, etc. If each col is a unique spec, what does its values represent? like SP-0004, SP-0069, etc Specifically, in TA-00038 row, both spec1 and spec2 col values are SP-0007, why??",1,bronze,15,Thu Jul 02 2015 15:09:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15004,/competitions/machinery-tube-pricing,7th
/olivermeyfarth,Your Machine-Learning-Algorithm ...,"Hi there, there is little discussion about the mathematics/algorithms for that competition so far, so I wonder if I am missing something. My approach is to build a features for each ad-impression. This includes features about the ad (e.g. price-range), about the search (e.g. day of week), but also about the user (e.g. click-ratio on ads). The last point will be the hard one as it means to build up a user-history. I will ignore any search-params, -queries, etc in order to avoid issues with the russion char-set. Also I assume the search is good enough so that ads will always be a good match to the search. On that features-set I will try different ML-algorithms. I guess I have to sample at some point because my hardware will not be able to handle that data. So what kind of (other) aproaches do you follow? Regards Olli",0,None,2,Thu Jul 02 2015 15:23:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15005,/competitions/avito-context-ad-clicks,183rd
/alexandrudaia,Big number of  classes,"Hi, There are some categorical features, which do have a big number of classes, so the usual learners are not compatible with that.Have somewone thinked of something else besides python one hot encoding?",0,None,2,Thu Jul 02 2015 17:00:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15006,/competitions/machinery-tube-pricing,183rd
/ademyttenaere,0.2748 with RF and log transformation,"It actually scores 0.2644., but 0.2748 with ntree = 10. Enjoy !",7,bronze,32,Thu Jul 02 2015 20:40:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15008,None,None
/telgue,Team needed,"Hi everyone, have a PhD in Machine learning and computer vision. I'm looking to join a team. If you are interested please contact me on telg2015@hotmail.com",0,None,30,Thu Jul 02 2015 22:07:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15011,/competitions/sf-crime,None
/telgue,Team needed ,"Hi everyone, I have a PhD in Machine learning and computer vision. I'm looking to join a team. If you are interested please contact me on telg2015@hotmail.com",0,None,1,Thu Jul 02 2015 22:10:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15012,/competitions/digit-recognizer,None
/graeme,My First Kaggle Competition,"This will be the first Kaggle competition I've entered, apart from an entry in the Titanic one based on a tutorial I read on the internet.",0,None,1,Thu Jul 02 2015 23:07:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15015,/competitions/grasp-and-lift-eeg-detection,None
/derekzh,Cross Validation Method Sharing,"Congratulations to fellow competitors who did well! It was a great experience participating in the contest. My biggest challenge in this contest is cross validation - for some reason my validation method was not reliable enough to guide final submission selection. I felt like a bit like marching in the dark - as it turned out, two of our models would have done much better on the private LB - but hey, I had no reliable way to tease gold from sand in the end. There has been quite a bit discussion on potential private LB shake out due to the small test size. But I still want to ask just to be sure: has anyone developed effective cross validation method for this dataset? If I can learn that as a take-away from the contest, I will feel fully content and satisfied.",0,None,1,Fri Jul 03 2015 01:23:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15018,/competitions/pkdd-15-taxi-trip-time-prediction-ii,42nd
/arsenal,Simple approach that scores 0.51734 in private,"First congrats to the winners. My team AKG tried very hard to win this competition, but failed the mission, even staying in top 10% was really lucky. As part of team AKG, I was mainly responsible for trip time prediction. My teammate Konrad and Greg worked diligently and did great job in trajectory predictions, and it was nice working with them. For trip time, we decided to choose 2 very correlated best public LB score submissions, which now we knew was a pretty bad decision. It was a great lesson to learn. I will just describe briefly my simple approach which scored 0.50228 in public and 0.51734 in private quoting my email sent to my teammates : "" 1. I transformed the TIMESTAMP variable to year/month/day hour/minute/second and found out that the 320 test set is cut from 5 major time: 6:00 pm, 8:30 am, 5:45 pm, 4:00 am, and 2:30 pm. (i.e. trip start time + current trip duration should be one of these 5 time) Each of them were around 50 to 80. Considering the fact that there are about 1/3 for each call type, I think this test set is generated with specific purpose to test our models' accuracy for trips around these 5 major time for each call type. 2. 5 training set were generated accordingly with the same snapshot time as in test set. Each of them has the size of around 20000, except that 4:00 am has only half that size. (So the training data is significantly smaller!) I think in this way training set and test set aligned pretty well. For each training set, I further divided them into 3 subsets for each call type since call type A and B has one additional variable, which is very useful according to cv. So I now have 15 training set and for each training set the problem became a regression problem. 3. I only used simple features now: firstlon, firstlat, cutlastlon, cutlastlat, startseconds/cutlength (correlated), weekday, difflon (cutlastlon - firstlon), difflat (cutlastlat - firstlat), diff (distance between first and last observed coordinates). For call type A and B, one additional variable: ORIGIN_CALL or ORGIGIN STAND were used. I used xgboost and simple parameters (but I guess which algorithm to use is not a concern), I only change nrounds of each model according to cv. 4. According to cv, ORIGIN_CALL or ORIGIN STAND were very helpful for call type A and B trips. I dummy coded TAXI_ID but that doesn't seem to help. I may want to try to do PCA or clustering on the dummy coded TAXI_ID to see if my model can improve. Also I only used simple features calculated from first and last observed coordinates. Feature engineering may help. "" It is this exact simple set of 15 models that could potentially win the contest, and the runtime of my R code was only about 10 mins. Sorry I was really not in the mood to elaborate more on my approach. But if the host is interested in knowing what my exact approach is, I don't mind sharing my code with them. Thanks, Arsenal",5,bronze,2,Fri Jul 03 2015 03:05:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15019,/competitions/pkdd-15-taxi-trip-time-prediction-ii,31st
/lebroschar,Method sharing,"Congratulations to all the winners! This was a fun and challenging contest. My solution placed 5th on the private leaderboard, though only 22nd (after cheater removal) on the public leaderboard. Here's how I approached the problem: 1) I divided the area covered by the training cases up into a grid in lat/long in order to bin different locations. The grid resolution was about 100m. The jist of my method was to compute the grid points that each trajectory passed through and correlate the test trajectories with the training trajectories. 2) For each grid bin, four feature values were possible, corresponding to passing through that grid with a north-westerly, south-westerly, north-easterly, or south-easterly velocity. 3) Given the number of shared ""features"" (i.e., a lat/long bin with velocity direction) between the test case and the training set, the training samples with a correlation above a particular threshold were chosen to generate the prediction. Each sample was weighted according to its number of shared features. 4) *important* The prediction was generated by minimizing the weighted sum of the distances between the sample destinations and the guess. This is not the same as minimizing the sqrt of the sum of the squares of the distance difference (i.e., taking the mean)! It makes a big difference for this contest's evaluation function. A few helpful tweaks I found were: 1) I weighted the last feature in the test trajectory at 10-15x the other features. 2) If the taxi was stopped for more than a certain time, I only used features in the test sample after that time. As far as setting up a CV goes, I was successful in that my CV seemed to indicate the relative (though not absolute) worth of different approaches well. It was clear to me that longer trips are more likely to end up in the test set because they are more likely to be active at the chosen sample time. I ended up using the same method as the moderators to create my validation set - just take the trips that were active at a certain time and cut their POLYLINE at that time. I wanted to create a training set the same way, but I could only get about 50k unique data points out of the 1.7M training set before distorting the probability distribution across trip time (a power law fit very well).",16,silver,14,Fri Jul 03 2015 04:00:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15020,/competitions/pkdd-15-predict-taxi-service-trajectory-i,5th
/neil90,"Datetime Column, useful?",So Im wondering is the Datetime useful in this classification problem? I was figuring maybe to see if the crimes occured in the AM/PM but I don't see what is the other usefulness of the datetime in terms of building my model(using random forest for now).,0,None,1,Fri Jul 03 2015 06:12:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15024,/competitions/sf-crime,None
/ericchio,How would you batch process images without waiting for hours and hours?,"Hi all, How do you batch process the raw images (resize, white balance, etc...)? There are 80k images. I use imagemagick convert to do that but it takes many hours to complete even one run. Suppose I need to do another experimentation (tuned some parameter), it is a loooooong wait. How does everyone do this? I'd really love to learn if there's better ways. Current way of doing it: - Use the largest instance on EC2 to parallel process the images (python joblib). This is the technique I use and this takes a lot of time, which I am looking for improvements. - Graphlab to parallelize on multiple nodes (?). The starter code seems to use a GraphLab to do so. I haven't tried it, does this make it a lot faster?",0,None,3,Fri Jul 03 2015 08:22:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15025,/competitions/diabetic-retinopathy-detection,241st
/shreyassaxena2,Anyone had any success with per query/class classifiers?,"Hello, I have been dangling a bit with training per query classifier, but somehow it performs worse than using a single model for all the queries :/. Ofcourse, the TF-IDF was also formed per query class, and I tried SVM with diff. parameters. My LB score was around ~ 0.56 despite the fact that my leave one out CV was 0.66 . I am a bit clueless over here, any one had any success with this?",0,None,4,Fri Jul 03 2015 10:03:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15026,/competitions/crowdflower-search-relevance,372nd
/pierthodo,Good paper for beginner !,"Hello everyone ! I am quite new in Kaggle and in this competition. I found this good paper that I feet could help some of you start on this challenge. It explains the basics of an EEG (with some example related to that challenge), the different classification methods, feature extraction, channel selection and spatial filtering commonly used on this kind of problem. As a beginner this paper gave me a very good starting point ! https://hal.inria.fr/hal-01055103/file/lotte_EEGSignalProcessing.pdf I hope it will help some of you start !",38,gold,15,Fri Jul 03 2015 10:15:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15027,/competitions/grasp-and-lift-eeg-detection,None
/chonglinsun,Huge gap between cv score and public leader board score,"Hi all, There is a huge gap between my offline 5-fold cross-validation score and public leader board score in a single model, about a 0.04 gap. Do you have any suggestions? Thanks a lot.",0,None,4,Fri Jul 03 2015 11:23:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15028,/competitions/crowdflower-search-relevance,131st
/s2kingcoders2,Help! Introduction to Kaggle?,"Hello everybody! I'm a newbie in Kaggle. I have a question and i think it also question of many people, who is newbie like me! ""Can u Introduction to Kaggle for me?"" - What is Kaggle Competition? - What is the knowledge I need to success in Kaggle - ... And more, anything u are known about Kaggle. Thankyou very much to all Fiends!",1,bronze,5,Fri Jul 03 2015 12:02:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15029,None,None
/alexandrebarachant,Beat the Benchmark. 0.708,"Hi all, This is a beat the benchmark script based on my previous [Link]:https://www.kaggle.com/alexandrebarachant/grasp-and-lift-eeg-detection/common-spatial-pattern-with-mne using CSP and LogisticRegression. The script is not optimized (memory or execution time), but it run in ~ 5 minutes on my laptop. For some reason, it does not run on the kaggle env. I hope it will help you to start in this challenge.",9,silver,57,Fri Jul 03 2015 17:09:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15030,None,None
/hoehle,Observational window & Spatial covariates = Extra data?,"Dear All, this is the first time I participate in a Kaggle competition and I'm still new to the site. As a statistician the crime data appear to be a nice opportunity to try out some spatio-temporal point process models. However, for such models to work I would have to define what was the observational region where these points were collected. 1) My question is that if I include some of the published shapefiles about the districts of SF, would that count as using additional data and hence violate the kaggle rules about not using extra data? (I hope the answer is no because any point pattern data without the observational window IMHO are bad data!) 2) If I extract open-streetmap data in order to enrich my spatio-temporal models, would this count as using external data? Maybe someone more experienced with these competitions can give me a hint about the answer on the two questions. Thanks and best regards, Michael",0,None,2,Fri Jul 03 2015 17:10:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15031,/competitions/sf-crime,355th
/rost86,Engineering features from bill_of_materials.csv,"Hi, I am trying to engineer features from the bill_of_materials and see if some of the components can be used in predicting tube prices. The bill of materials table has one column, the tube_assembly_id, and 8 pairs of columns, each pair composed of a component_id and a quantity: tube_assembly_id component_id_1 quantity_1 ... component_id_8 quantity_8 I would like to turn this into a table with the first column being the tube_assembly_id, and each column representing a component (actually the quantity for the component). I believe by doing this I can work with the components as features of each tube_assembly_id when I do a JOIN with the train_set.csv, tube.csv and bill_of_materials.csv. I have been playing around with Python scripts to do it but they tend to get really convoluted. I believe there must be a simpler and more idiomatic way to do this kind of feature extraction. Any ideas?",0,None,8,Fri Jul 03 2015 19:45:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15032,/competitions/machinery-tube-pricing,916th
/tifaccio,Random thoughts and ideas,"just a few sketches and random thoughts to create a modelfunction assembly(assembly_properties, production methods,working hours, parts prices ...) function supplier_cost(assembly,supplier,quantity ... ) function supplier_offer(supplier_cost,margin,view of the market, annual usage ... ) function cat_cost(supplier_offer,[quantity/anual consumption], supplier geographic position, supplier currency ...) Further distinctions: There are two kind of order quantities: below a certain threshold, CAT consumes the delivered assemblies immediately. Above this threshold, additional costs for storage and capital cost apply. There are two kind of suppliers: The big boys and small fishes.. On the one hand, suppliers, which know the cost of every breath one of their workers is taking and on the other hand are suppliers, which roughly know what they are paying for parts, working hours and tools). The first group knows a lot about the market and adapts its margins towards the possibilities and accepts negative margins. The second ones wants to earn a fixed margin and simply doesn't care about competitors. There are at least to different ways to bend a tube.There are two different kind of tubes: welded or extruded. A lot of costs are estimated by the price of the tubes I don't care, wheter i have to bend a tube once or twice. Installing the machine takes much more time.",0,None,1,Fri Jul 03 2015 21:25:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15033,/competitions/machinery-tube-pricing,1263rd
/tenaciousterrier,Parallel RF (adapted from Arnaud),"This is adapted from Arnaud's '0.2748 with RF and log transformation' to run in parallel in R so that your computer time is substantially less. Additional Notes: 1. Change ntree = rep(5,4) to increase number of trees. Currently, this has each CPU core, on a 4-core CPU, created a 5 tree random Forest. 2. Parallelization reduces time algorithm runs for dramatically. 3. It would be great if someone could demonstrate how to run in parallel using AWS. When I ran ntree = rep(50, 4) it took several hours to complete on my laptop, but produced significantly better RMLSE.",2,bronze,5,Sat Jul 04 2015 00:38:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15035,None,None
/wildwizard,managing such competition,"I find myself wondering if I take the thing by the good corner there. I wanted to start early to be sure to test more possibilities than last competition and use the few i learnt into it but I found myself finally trying to work on many datasets as there are so many instances and feats. Only very light algorithms work then and I can't even spot check for the common logical choices here (if i try forests my computer run so hard that the light in my room goes off and it nearly burns when I am looking at the list of regression tools). my hardware is quite neat (some xeon 4 core with 12gbites of ram, not SOTA but still powerful) so there I wonder what to do if it even fail to work. Simpler approaches would probably do but finally I can't decide between keeping on my simple algo that let me get around 0.4 with big sets and trying to use other more complex algos with sets with very few feats. Also despite of checking data for anomalies I keep seeing people posting things I overlooked:( I am careful with irregularities and aberrant values but seem to miss a lot of things there.also i can't get to decide if I must set some feats as nominal/binary or numerical. Some are evident, but others are not. I mean, for a regression algorithm, maybe there's a X factor that with $_numeric_hasItSpecs? Will do better than with binary? Also number of feats or component-number1 would be numeric but as it is discreet it can also be categorical... I also wonder about normalization here. We already have to apply some log transform so I wonder if normalization should apply and if so, after our before log transformation. Any advice would be useful, if you are kindly inclined to write some (I am already working on python to improve myself but here I'm more wondering about a better strategy...) Thanks by avance",0,None,13,Sat Jul 04 2015 06:58:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15039,/competitions/machinery-tube-pricing,917th
/huyaoquan,Deconv net to produce image for rebalancing dataset,Whether does anyone attempt to use deconv net (by matthew zeiler) in high-level conv features' KNN space to produce new images for rebalancing given dataset or online update trained model?,0,None,1,Sat Jul 04 2015 17:03:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15043,/competitions/diabetic-retinopathy-detection,149th
/cowabungadood,Random Foreset Algorithm Implementation,"Hi, I am curious in seeing the source code for the random forest algorithm to see how it work, to get a solid understanding of what the algorithm is doing. Does anyone know of a good resource where I can find the implementation of the algorithm, preferably in python or java?",0,None,1,Sat Jul 04 2015 22:03:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15049,/competitions/titanic,None
/jpopham91,RMSLE function,"It's not a huge deal here since this is a relatively small dataset, but you want to get in the habit of using vectorized functions for this sort of thing since it is significantly faster. I've done a demonstration using this script: https://www.kaggle.com/jpopham91/caterpillar-tube-pricing/rmlse-vectorized",12,bronze,9,Sun Jul 05 2015 04:34:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15054,None,None
/springcoil,Having trouble getting up the leaderboard with NN,Is anyone else having trouble getting a good score with NN? I've been mostly using the Keras example although I'm aware it is only starter code. I've tried changing the model but despite getting good scores for my loss function I don't get high up the leaderboard. Anyone else have similar results?,2,bronze,19,Mon Jul 06 2015 10:58:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15062,/competitions/machinery-tube-pricing,446th
/maurizios,An experience with adattati thresholding,Trying adaptive thresholding instead of global..,0,None,2,Mon Jul 06 2015 14:12:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15065,None,None
/benhamner,Is it working?,RMarkdown test,0,None,1,Mon Jul 06 2015 19:29:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15070,None,None
/lindon,Dataset for Academic Publishing Purposes,Is there permission for this dataset to be used to exemplify a method in an academic paper?,0,None,1,Tue Jul 07 2015 00:18:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15077,/competitions/avazu-ctr-prediction,None
/jeffmoser,Markdown in the Forums,"[Link]:https://goo.gl/PXDUQi. This is one reason why [Link]:http://eherrera.net/markdowntutorial/ has become a standard across the web and in data science (like the use of [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/13757/rmarkdown-as-a-scripts-language [Link]:/tqchen/otto-group-product-classification-challenge/understanding-xgboost-model-on-otto-data [Link]:https://www.kaggle.com/justmarkham/introducing-kaggle-scripts/introduction-to-dplyr-part-2). In order to spread the power of plain text, I've replaced the old finicky HTML editor in these forums with a simple Markdown editor. It should obey all standard Markdown syntax. If you're new to Markdown, you might want to [Link]:http://eherrera.net/markdowntutorial/. You can then take that skill and create fun exploratory Scripts (like [Link]:/eyecjay/sf-crime/vehicle-thefts-or-jerry-rice-jubilation). Happy Markdown-ing!",7,bronze,17,Tue Jul 07 2015 01:09:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15079,None,None
/anton79,Smart Last Minute Competitors,"I am not a top competitor, but still care about my position on the LB. So, I've Just noticed that there's some people who jumped ahead of me in the last hours of competition having the same score (0.66429). Congratulations to you guys: you really worked hard for it!",5,silver,11,Tue Jul 07 2015 01:33:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15081,/competitions/crowdflower-search-relevance,238th
/asimkievich,congrats to the winners!,"Guys and gals what a competition! I could not help suffer a bit seeing how we went from #1 to #3 but my hat goes off to everyone who participated and pushed us to give the best of ourselves. And of course, congratulations the two winning teams! Finally, not to act like a first time Oscar winner, I want to thank my AWESOME teammates, Madcap, Rowakin and Sergio_Gamez! Best, Alejandro PS: next time I will be the first one to change my team name to Good luck! :) Congrats Chenlong! awesome competition",11,gold,66,Tue Jul 07 2015 02:13:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15082,/competitions/crowdflower-search-relevance,3rd
/devinanzelmo,Normalized Gini Coefficient [BROKEN],"Kaggle uses python 3 so you need to change the print line to print(normalized_gini(predicted_y, desired_y))",2,bronze,3,Tue Jul 07 2015 03:06:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15083,None,None
/benhamner,Random Forest Benchmark,"Here's a quick Random Forest benchmark on this dataset in R, along with a variable importance plot. No features were harmed (or engineered) in the creation of this benchmark.",9,silver,16,Tue Jul 07 2015 06:49:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15084,None,None
/coolbaski,can we get image dataset?,,0,None,2,Tue Jul 07 2015 08:40:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15085,/competitions/facial-keypoints-detection,None
/sainideepak119,Improving the performance of CNN model,"I have resized the images to 256x256 and running the sample theano code given on the deep learning tutorial on the resized images; but I am getting not so good results. Any suggestions as in how many CNN layers, size of filters, learning rate, minibatch size etc. to get better results will be appreciated. It would be helpful if some relevant links, articles can also be provided. Thanks in advance. P.S : I am new to deep learning and this is my first kaggle project and want to learn most from this project.",0,None,1,Tue Jul 07 2015 10:14:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15086,/competitions/diabetic-retinopathy-detection,None
/oxofff,Normalized Gini Scorer + XGBoost (0.371),Script has gini scorer implemented in Python and cross-validation over XGBoost,0,None,13,Tue Jul 07 2015 13:17:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15087,None,None
/cavaunpeu,Does anyone Kaggle full-time?,Kaggle is enormously fun. Has anyone out there left their full-time data-science-y job to Kaggle full-time instead?,0,None,5,Tue Jul 07 2015 13:44:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15088,None,None
/remap1,Cross validation error higher against leaderboard,"Just getting started with machine learning. I did the netflix prize way back and want to get back into machine learning as a hobby. So my training set I'm using is roughly 190M records. I take a random sample out of that of anything between 1-10M records. With sklearn and a 10-fold cross validation set, each iteration trains the model from scratch. Running each trained model against each test fold, I get really good numbers of 0.036 for all 10 test folds, +/- 0.002 (0.034-0.038). Then I train the entire model against the entire training set, do the predictions, yet the calculated score on the leaderboard is consistently 0.01 higher (0.047-ish). All records are there and there are no seemingly invalid predictions (outside [0,1]). This is my logloss function to calculate the results: def llfun(act, pred): epsilon = 1e-15 pred = sp.maximum(epsilon, pred) pred = sp.minimum(1-epsilon, pred) ll = sum(act*sp.log(pred) + sp.subtract(1,act)*sp.log(sp.subtract(1,pred))) ll = ll * -1.0/len(act) return ll copy So my cross validation results aren't representative for the test data, even though none of the test data was used in training and all test folds have roughly similar total errors. Do you get representative total errors (vs. leaderboard calculated result) in your cross validation? Could this be due to the test date span != train date span?",0,None,9,Tue Jul 07 2015 14:35:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15089,/competitions/avito-context-ad-clicks,64th
/anjanaagrawal,Having Trouble in using RF and/or NN,,0,None,6,Tue Jul 07 2015 15:31:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15091,/competitions/machinery-tube-pricing,224th
/rameshns,Training accuracy with OneVsAll logistic regression,"When I develop a model using a oneVsAll classifier, I only get a training accuracy of ~20%. This seems rather low. I used the following features: time of incident, day of week, Distrct and GPS coordinates. Given the low accuracy, I have not tried running on test data. I was curious if anyone else has been able to get better accuracy using oneVsAll logistic regression?",0,None,2,Tue Jul 07 2015 20:05:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15095,/competitions/sf-crime,1547th
/ddebeul,Components and family ?,"Could someone explain me what are components and family (comp_[type]). It looks to me that, this element is important. Thanks",0,None,1,Tue Jul 07 2015 20:47:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15097,/competitions/machinery-tube-pricing,707th
/rmealey,Corrected Python Norm Gini Coef (R Port),"The original version of this script gave radically different results from the R implementation, so I just ported the R implementation over directly.",0,None,10,Tue Jul 07 2015 21:17:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15098,None,None
/sumendar,Bio and skills details are not displayed on my public profile,"my Bio section and Skills section information is not updating, even after i saved the changes, the details are not displayed publicly when i logged out from kaggle, may i know the solution",0,None,1,Wed Jul 08 2015 00:12:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15100,None,None
/wendykan,Results are final,"Cheaters are removed. Kaggle would like to thank everyone for the participation. We also want to thank Lukas from Crowdflower for directly answering a lot of questions regarding data collection. In the mean time, we encourage you to continue using Kaggle Scripts to share your methods for this competition. The competition may have ended, but learning doesn't stop here. See you in the next competition.",4,bronze,5,Wed Jul 08 2015 00:13:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15101,/competitions/crowdflower-search-relevance,None
/benhamner,Should I enable Scripts on this competition?,"All - I'm considering enabling [Link]:kaggle.com/scripts on this competition on a tiny subset of the training data. The current execution environment (CPU only + 10 minute time limit) isn't nearly enough to do anything meaningful on the entire dataset. This means that you wouldn't be able to publish computationally-intensive analytics on this dataset through scripts, or provide sample code that makes submissions through scripts. If I enabled Scripts on this competition on a small subset of the training data, could you create and publish anything meaningful and interesting based on that? Is there any specific subset of the training data that it would make more sense to use? If so, I'll go ahead and do it.",10,silver,8,Wed Jul 08 2015 00:46:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15102,/competitions/diabetic-retinopathy-detection,None
/skylibrary,Is there easy ways to merge different files into one big file for classification,"The problem is certainly interesting, but the dataset is too big, I can't find a way to use python or R to merge the datasets to do classification, it would be a much popular competition if there is some guidelines to prepare the data.",1,bronze,15,Wed Jul 08 2015 01:06:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15103,/competitions/avito-context-ad-clicks,34th
/anjsimmo,Wiki pages blanked and history missing,"The ""What is Data Science?"" and ""Data Science Tutorials"" pages linked from the main Kaggle Wiki seem to have been mysteriously moved and replaced by a blank page with the original name, resulting in blank pages and no history of what happened. [Link]:https://www.kaggle.com/wiki/WhatIsDataScience [Link]:https://www.kaggle.com/wiki/Tutorials Fortunately, archive.org has copies of the original pages which allowed me to track down the new page names by googling pages matching the original content: [Link]:https://web.archive.org/web/20150101222111/http://www.kaggle.com/wiki/WhatIsDataScience/ (seems to have moved to ""/wiki/DataScience"") [Link]:https://web.archive.org/web/20150214184929/https://www.kaggle.com/wiki/Tutorials (seems to have moved to ""/wiki/rename/"") Could Kaggle/community please recover the original pages + maybe look into whether the wiki software could be modified to make it easier to detect/revert these kinds of renaming mistakes.",3,bronze,1,Wed Jul 08 2015 05:57:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15105,None,None
/namesj,Simple gbm script to beat the benchmarks,"Hi, Posting here a very simple gbm script to beat the benchmarks and get you started. Cheers [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83758/2716/gbm_submission1.r",1,bronze,18,Wed Jul 08 2015 06:58:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15106,/competitions/liberty-mutual-group-property-inspection-prediction,726th
/mienvu,Lots of NA in supplier,"Hello, Does anyone know why there are lots of NA-values in the supplier variable in the train and test dataset? Mienvu",0,None,2,Wed Jul 08 2015 08:57:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15107,/competitions/machinery-tube-pricing,683rd
/ai2015,Xgboost benchmark 0.38019,[Link]:https://www.kaggle.com/ai2015/liberty-mutual-group-property-inspection-prediction/xgboost-benchmark-0-38019 gives slightly better performance,1,bronze,5,Wed Jul 08 2015 09:57:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15108,None,None
/soumendra,Generating Primes - Square-root Trick,"Square-root Trick When determining the primality of a number, we need to divide it by all primes numbers less than its square-root (instead of all prime numbers less than it). Result Increase the output from ~10k primes to ~77k primes.",1,bronze,5,Wed Jul 08 2015 10:22:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15109,None,None
/manishmahajan,Extracting specifications from specs.csv,"The specs.csv file has a rather awkward format for doing any quick pivoting etc. in Excel so I wrote this R code to extract all the specifications. My hypothesis is the relative counts of the specifications can provide clues to the costing. Let's say if threading is a activity with SP-00X and it appears 1000 times, it could imply this is a repetitive task and economies of scale could reduce the cost. I am new to R and hence this is very dirty, can someone please advise how can this be written more elegantly with for loops. specs<-read.csv(""specs.csv"",header = TRUE,stringsAsFactors = FALSE) spec_1<-specs$spec1[!is.na(specs$spec1)] spec_2<-specs$spec2[!is.na(specs$spec2)] spec_3<-specs$spec3[!is.na(specs$spec3)] spec_4<-specs$spec4[!is.na(specs$spec4)] spec_5<-specs$spec5[!is.na(specs$spec5)] spec_6<-specs$spec6[!is.na(specs$spec6)] spec_7<-specs$spec7[!is.na(specs$spec7)] spec_8<-specs$spec8[!is.na(specs$spec8)] spec_9<-specs$spec9[!is.na(specs$spec9)] spec_10<-specs$spec10[!is.na(specs$spec10)] all_specs<-sort(c(spec_1,spec_2,spec_3,spec_4,spec_5,spec_6,spec_7,spec_8,spec_9,spec_10)) write.csv(all_specs,""all_specs.csv"",quote = FALSE) copy",1,bronze,8,Wed Jul 08 2015 11:59:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15110,/competitions/machinery-tube-pricing,1180th
/gabrielfarah,How do people find teammates?,"Is there some special forum thread or people just form teams with people they know in person? PD. I would love to get invited to one, I’ve always participated by myself. Plus there’s not many kagglers in the Caribbean that I now of. Cheers,",1,bronze,1,Wed Jul 08 2015 12:51:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15111,/competitions/machinery-tube-pricing,66th
/rudikruger,R model tuning benchmark,"Thanks, I'm lazy and I like using caret, so this is useful.",0,None,4,Wed Jul 08 2015 17:31:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15112,None,None
/winston990839,LDA Visualization ,PERFECT !!!!!!!,0,None,1,Wed Jul 08 2015 18:32:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15113,None,None
/michaelbroughton,Prime Confusion,"The author of the script that computes and saves the most distinct prime integers (and only prime integers) to a csv file in under 10 seconds, without using any libraries (base language only) when they say without using any libraries -- base language only , in the example of python does that mean I'm not allowed to use things like math, os, itertools, time etc. ?",0,None,5,Wed Jul 08 2015 20:02:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15114,/competitions/introducing-kaggle-scripts,None
/artificialbrilliance,Incomplete Data Provided (My 2 Cents),"I played around with the data sets and ran them through Random Forest, Regression and Neural Nets when it dawned on me, ""we are missing vital data."" When attempting to predict anything in the real estate market, you need more data points. The prime information missing is geographical location. Other vital factors are things like the age of the home, size of the home, the lot, is it 2 stories, and the home value. Even the average value of nearby homes is important. All this is readily available on the net via API. The main reason these are important, is, home hazards are highly affected by weather. Plus, the home value and neighborhood are good indicators of maintenance and up-keep habits. That being said, it seems like the important part of this contest is not what can be predicted from this dataset but what the dataset should include in the first place. 90% of the battle in data science is won or lost in deciding which data points to include and exclude before feeding it to algorithms. In this case, the data points are not as relevant to the goal as assumed.",-2,None,20,Wed Jul 08 2015 20:23:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15115,/competitions/liberty-mutual-group-property-inspection-prediction,1819th
/devinanzelmo,Data for Python scripts,"I am just wondering if there are any datasets available in the python script environment? In general what will be the process of adding data, or accessing data for this competition? It might be interesting to look at some of the data from competitions that ended before the introduction of scripts.",1,bronze,2,Wed Jul 08 2015 22:20:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15117,/competitions/introducing-kaggle-scripts,None
/carloshuertas,Reproduce Xgboost results,"I have never used subsample or colsample_bytree parameters, but I just noticed some people are using it in here. According to docs, that randomly subsample the data, being by instances or features. How do you plan to reproduce your results? or it is not really random (I did not see any set seed around)?",0,None,14,Thu Jul 09 2015 00:20:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15122,/competitions/liberty-mutual-group-property-inspection-prediction,75th
/jiweiliu,CV performance,I have a model locally 0.384 but 0.377 on lb..,1,bronze,4,Thu Jul 09 2015 03:48:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15124,/competitions/liberty-mutual-group-property-inspection-prediction,145th
/jpopham91,Simple Grasp with Sklearn. 0.70+ ,"I think this violates the leakage rule, if I understand it correctly, You must be careful not to include data leakage. For example, you may not center the signals for subj1_series9_11 based on the mean of all frames for subj1_series9. Instead, you must use the mean based on frame 0 to 10. because you scale the entire test data set at once, and data are being scaled based on future readings. def data_preprocess_test(X): X_prep=scaler.transform(X) #do here your preprocessing return X_prep copy",0,None,15,Thu Jul 09 2015 05:21:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15125,None,None
/vivekag,Ensemble of RF and Xgboost in R,I have ensembled RandomForest & XgBoost's prediction to get score of 0.375872.,1,bronze,12,Thu Jul 09 2015 09:08:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15131,None,None
/nanjunxiao,comp_nut.csv col thread_size mixed numbers and 'M10'?,comp_nut.csv thread_size mixed numbers and 'M10'. what does 'M10' mean? how to deal with it?,0,None,1,Thu Jul 09 2015 10:14:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15132,/competitions/machinery-tube-pricing,481st
/new2this,Data science in development: how much data do we need?,"Hi all, I work for a small international development consultancy that is interested in using Kaggle to understand under which circumstances do local implementing partners (NGOs, govt agencies, businesses) out-perform big international NGOs. Or more generally, which characteristics of a given NGO/business/govt agency best predict its sucess? Answering this question would be a game changer for development, but the problem is there just isn't a ton of data out there. There is info on GDP, child mortality rate, malnutrition and other big impact areas like that. But (to my knowledge) there is very little standard data on the thousands of little NGOs, govt agencies, businesses that are contributing to those larger impacts. The funder we work with only gives 2% of its multi-million dollar budget to local partners and, without quantitative evidence that these partners are in fact valuable, will never go through the extra hassle of working with people who have poor English, are bad with emails, etc. My company works with 30 local partners and is committed to collecting as much data as we can to eventually use data science to start answering these questions. But MY QUESTION is HOW MUCH DATA DO WE NEED? Realistically we can bi-annually collect approximately 40 characteristics on each of our 30 local partners. We can pair that with about 3-4 performance measures. But is this enough data to run a competitive Kaggle competition? How much data should we aim for? Does anyone have suggestions on where we can find data and/or how we can begin answering this question using data science? I appreciate any and all help! Thanks y'all for reading through. S",1,bronze,4,Thu Jul 09 2015 11:54:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15133,None,New2this
/dsoreo,GBM - interaction.depth,"what does interaction.depth=3 means in GBM. I tried to look at the help section and all it says is ""# 1: additive model, 2: two-way interactions, etc."" - Couldn't find something useful online. Does anyone have a resource that can explain this variable?",2,bronze,5,Thu Jul 09 2015 12:38:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15134,/competitions/liberty-mutual-group-property-inspection-prediction,1194th
/rootua,Logistic regression - scikit-learn,"I'm trying to understand FTRL algorithm which was published here - [Link]:https://www.kaggle.com/c/avito-context-ad-clicks/forums/t/14516/beating-the-benchmark. Really I don't understand why in the example we're submitting file with probabilities, but in Evaluation ( [Link]:https://www.kaggle.com/c/avito-context-ad-clicks/details/evaluation) it says that submission file must look like: TestId,IsClick 0,0 1,0 5,0 7,0 9,0 etc. copy I've tried to re-write it, and use just Logistic regression with SGD from scikit-learn. lr_sgd_own-hash_proba.py gives me a little bit better results than the original example, maybe because I've trained it on 16 000 000 examples. But it proves that Logistic Regression with SGD can give the same results as FTRL. Also when I only modify lr_sgd_own-hash_proba.py file to output 1 or 0 (just by changing predict_proba() to predict() ), not a probability it gives 0.3 LogLoss on Kaggle, after submission. Can anybody explain why it happens? There other thing that I don't understand, it's why hashing gives us better results than the one without hashing? Can anybody explain how it works and why do we need to use it here? We don't have categorical features here, all of our features are numerical (if we're using only original columns from trainSearchStream.tsv or testSearchStream.tsv). lr_sgd_nohash_proba.py shows extremely bad results. LogLoss is very high (1.1 on local data, 3.1 on Kaggle). Also I have no idea how to use FeatureHasher from scikit-learn here. It's output is little bit strange. When I pass one training example to fit_transform() method of FeatureHasher(n_features=20, input_type='string', non_negative=True) object, I get next results: (0, 5) 0.0 (0, 6) 1.0 (0, 8) 1.0 (0, 10) 1.0 (0, 14) 1.0 (0, 17) 1.0 (0, 19) 1.0 (1, 2) 1.0 (1, 6) 1.0 (1, 14) 1.0 (1, 19) 1.0 (2, 1) 3.0 (2, 3) 2.0 (2, 4) 1.0 (2, 19) 2.0 (3, 1) 2.0 (3, 2) 1.0 (3, 6) 1.0 (3, 11) 1.0 (3, 14) 1.0 (3, 17) 1.0 (3, 19) 1.0 copy Don't know how can I use this in classification. Will appreciate for your help. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83916/2717/lr_sgd_own-hash_proba.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83916/2718/lr_sgd_own-hash_value.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83916/2719/lr_sgd_own-hash_proba.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83916/2720/lr_sgd_nohash_value.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/83916/2721/lr_sgd_nohash_proba.py",0,None,1,Thu Jul 09 2015 12:41:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15135,/competitions/avito-context-ad-clicks,304th
/jamesdlawrence,Simple Prime Seive in R,"I think you're losing a lot of time in the ""%%"" line --- I've had much quicker results constructing the index by hand, along the lines of [Link]:https://www.kaggle.com/jamesdlawrence/introducing-kaggle-scripts/fast-sieve-of-eratosthenes-r which works around an order of magnitude faster (and also avoids re-dimensioning, which can be slow in R)",1,bronze,1,Thu Jul 09 2015 13:40:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15136,None,None
/maurizios,Machine Learning vs. image processing,"I made a few experiments on the database but I still uncertain whether it is better to perform image filtering or trying some ML algorithms (or a combination of the 2). Based on my limited experience I see the following points: Image filtering PRO .s : faster processing (in fact you need the provided clean image in the train set just to assess effectiveness of the filter not for training) CON.s : by not performing any kind of character recognition you may be unable to separate some type of stains or spot from a real character ML PRO.s :probably more effective particularly on removing spots (see point above) CON.s : longer run times, risk of over-fitting in the sense that it might generate filter that is very specific for the documents of the corpus but not for a generic text document. This is my initial though; any comment is aprreciated.",0,None,Image filtering,Thu Jul 09 2015 14:04:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15137,/competitions/denoising-dirty-documents,None
/donthedragon,Feature Interpretation,"I had to read the explanation of the data more than once to try and get my head around what it means (maybe I'm slow, or maybe it's just late at night here :)). Either way, I note that the features are split into T1 (of which there are 17) and T2 (of which there are 15). Any ideas on the relevance of this split? Sorry if I'm missing something obvious!",3,bronze,5,Thu Jul 09 2015 14:34:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15138,/competitions/liberty-mutual-group-property-inspection-prediction,None
/domcastro,Is there a way of adding data?,"Hi, I have a couple of datasets that I want to use for this competition. I could hardcode it, but it might be messy. Is there away to put small datasets somewhere?",1,None,6,Thu Jul 09 2015 14:48:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15139,/competitions/introducing-kaggle-scripts,None
/lancerts,Logistic Regression on HistCTR,"This is helpful. As a Newbie, do we need to Unzip database.sqlite first? Since somehow i run the code, it seems with .7z one, it doesn't read the database. Thanks",0,None,5,Thu Jul 09 2015 15:31:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15141,None,None
/domcastro,Breast Cancer Mutations Gene Cloud,"Whole patient data is here [Link]:https://www.kaggle.com/c/introducing-kaggle-scripts/forums/t/15139/is-there-a-way-of-adding-data/83956#post83956. Several cancers and patients (over a million patient / gene combinations) EDIT: if people like this data, then I also have Gene expression and Copy Number data for the patients too.",2,bronze,1,Thu Jul 09 2015 20:16:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15142,None,None
/elenacuoco,Simple Grasp Cross-validation,Useful script! I think I will use it to estimate the Global AUC.,0,None,1,Thu Jul 09 2015 21:01:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15143,None,None
/skylibrary,Combining datasets,"Thanks for sharing. I also tried add SearchInfo.execute(""CREATE UNIQUE INDEX searchid1 on SearchInfo (SearchID)"") UserInfo.execute(""CREATE UNIQUE INDEX userid1 on UserInfo (UserID)"") AdsInfo.execute(""CREATE UNIQUE INDEX adid1 on AdsInfo (AdID)"") Category.execute(""CREATE UNIQUE INDEX searchcategoryid1 on Category (CategoryID)"") Location.execute(""CREATE UNIQUE INDEX searchlocationid1 on Location (LocationID)"") copy May I ask how long it takes to run this code, with and without create unique index? I am using pypy to run the code for train and test data, will figure out the running time in a few hours. Also why ignored visitsStream and PhoneRequestsStream, they seems to be useful too, especially PhoneRequestsStream?",0,None,10,Thu Jul 09 2015 21:09:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15144,None,None
/krishnateja614,Request to share the approach and/or code ,"This was my second kaggle competition and I learn a lot from it and I believe I did reasonably well by getting into top 25%.If anyone in the top 10% can share their approach and/or the code ,it would be very helpful for people like me.",1,bronze,4,Thu Jul 09 2015 22:58:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15148,/competitions/crowdflower-search-relevance,289th
/chefele,Python Sieve: 48M Primes in 4 sec,"Given the results above, the majority of the time seems to be used for writing the .csv file, rather than calculating the primes.",3,bronze,18,Thu Jul 09 2015 23:43:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15150,None,None
/asimkievich,"Quartet (prize winner, 3rd) approach and code","hi folks, No intention to fool anyone :) but this thread is just to tell you that the kaggle team invited us to create a post for their blog where we will share our approach and links to github, where the code will be available. So please give us a few more days and stay tuned!",7,silver,5,Fri Jul 10 2015 02:34:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15152,/competitions/crowdflower-search-relevance,3rd
/ab19026,There are too many NAs,"I found that 80% of the items in bill_of_materials.csv and spces.csv are NAs,should I drop the two files?",0,None,3,Fri Jul 10 2015 04:20:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15153,/competitions/machinery-tube-pricing,1155th
/stephencollins,R code to visualize an image,"Each row in the train data is a handwritten digit. Here is some R code using ggplot2 to sample and visualize 50 rows of training data. You press 'enter' to see the next sampled image. The true label is in the upper right. R code library(ggplot2) train <- read.csv(""train.csv"",header=TRUE) plot_image <- function(row) { photo <- data.frame( x=rep(1:28,times=28), y=rep(28:1,each=28), shade=as.numeric(train[row,-1])) ggplot(data=photo) + geom_point(aes(x=x,y=y,color=shade), size=11, shape=15) + theme( axis.line=element_blank(), axis.text.x=element_blank(), axis.text.y=element_blank(), axis.ticks=element_blank(), axis.title.x=element_blank(), axis.title.y=element_blank(), legend.position=""none"", panel.background=element_blank(), panel.border=element_blank(), panel.grid.major=element_blank(), panel.grid.minor=element_blank(), plot.background=element_blank()) + scale_color_gradient(low=""white"",high=""black"") + geom_text(aes(x=28,y=28),label=train[row,1]) } par(ask=TRUE) lapply(sample(nrow(train),size=50), FUN=plot_image)",0,None,2,Fri Jul 10 2015 05:58:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15154,/competitions/digit-recognizer,None
/,,,0,None,5,Fri Jul 10 2015 06:19:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15155,None,None
/espanarey,Kaggle t-shirt,"Hi, I was wondering if is possible to buy a kaggle t-shirt similar to the one described in the prizes section. Thank Rey",0,None,3,Fri Jul 10 2015 13:17:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15156,/competitions/introducing-kaggle-scripts,None
/udayabhanu,Feature selection script (To some extent),"Install caret and h2o (I did it using h20, which makes all categorical vars into numeric for cor function). Run the loop multiple times. library(caret) library(h2o) localH2O <- h2o.init(max_mem_size = '1g', nthreads = 4) df = cbind(train[, -which(names(train) == ""cost"")], cost = log(train[,'cost']+1)) tr_h2o <- as.h2o(localH2O, df) # train set for (j in 0:5) { startJ <- j * 200 + 1 if (startJ > dim(df)[2]) break endJ <- (j + 1) * 200 if (endJ > dim(df)[2]) endJ = dim(df)[2] changed <- 1 while (changed == 1) { changed <- 0 correlationMatrix <- cor(as.matrix(tr_h2o[,startJ:endJ])) i <- 0 for (rowname in rownames(correlationMatrix)) { i <- i + 1 if ((length(which(is.na(correlationMatrix[i,]))) == 199) & (rowname != ""cost"")) { changed <- 1 train[[rowname]] <- NULL print(paste0(""Dropping column "", rowname)) } } df <- train tr_h2o <- as.h2o(localH2O, df) } highlyCorrelated <- findCorrelation(correlationMatrix, cutoff=0.95) highlyCorrelated <- sort(highlyCorrelated, decreasing = TRUE) i <- 0 for (name in names(train)) { i <- i + 1 if ((i %in% highlyCorrelated) & (names(train)[i + startJ - 1] != ""cost"")) { print(paste0(""Dropping column2 "", names(train)[i + startJ - 1])) train[i + startJ - 1] <- NULL } } df <- train tr_h2o <- as.h2o(localH2O, df) print(paste0(""Dim of train at iter "", j, "" is "", dim(df)[2])) } copy",1,bronze,1,Fri Jul 10 2015 13:33:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15157,/competitions/machinery-tube-pricing,326th
/robby75,Gini Valuation?,"Can someone please clarify if Gini(x, corr=T) from ""ineq"" package of R is being used as the scorer? If so 1) Why minimum bench-mark is not exactly zero? 2) Is the ""right"" Gini some secret value and over or under this value is wrong? 3) Why somebody's script for Gini calculation takes more than 600s? 4) Or is x supposed to be abs(ideal_pred - submitted_pred)? Kaggle makes us feel like MIB. When Will Smith asks, ""how does it operate?"", Kay replies ""I have no idea!"".",0,None,13,Fri Jul 10 2015 13:37:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15158,/competitions/liberty-mutual-group-property-inspection-prediction,961st
/hochthom,Test,:-),0,None,1,Fri Jul 10 2015 17:58:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15161,/competitions/just-the-basics-the-after-party,None
/hochthom,1st Place Solution write-up (+code),"1st Place Solution First, thanks to Organizers and Kaggle for such great competition. Finally I found some time to summarize my approach (see the attachment) and to clean-up the code. You can find it on github: [Link]:https://github.com/hochthom/kaggle-taxi-ii if you have any questions I will be happy to answer them. All the best, Fluxus [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/84042/2727/Taxi_II_Winning_Solution.pdf",12,silver,2,Fri Jul 10 2015 18:02:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15162,/competitions/pkdd-15-taxi-trip-time-prediction-ii,1st
/payalag,Need a patner,"I want a patner, Reply ASAP",0,None,3,Fri Jul 10 2015 18:11:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15163,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/gkhatwani,Regarding methodology ,"Hi all, I have seen the scripts and discussion on forum. I am little confused why everyone is using Random forest. I don't have other technique in my mind but how people are taking decision to go for random forest? Please guide. Regards, Gaurav",1,bronze,28,Fri Jul 10 2015 20:21:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15166,/competitions/machinery-tube-pricing,None
/lrargerich,Looking for a Team (Using R),"Howdy all, I'm a… what the hell am I? I guess an intermediate kaggler with only a few competitions on my shoulders. I would like to try a team in this one. I would like to learn more about stacking, blending and ensembles in general using R and I think this is a good chance. I have some spare time in the next weeks so if you think this is a good idea then let's make a team. My email is lrargerich at gmail. cheers, Luis.",0,None,1,Fri Jul 10 2015 21:25:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15167,/competitions/liberty-mutual-group-property-inspection-prediction,1091st
/devinanzelmo,"Gini Scoring, Simple and Efficient",This looks like a great python implementation! Have you checked it against the reference C# implementation?,1,bronze,20,Fri Jul 10 2015 21:38:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15168,None,None
/triskelion,Prime sieve in almost pure Python,"Cool, so now we have Go soon! I still think: with open('go.c', 'w') as srcfile: srcfile.write(src) from subprocess import call call([""gcc"", ""-O3"", ""go.c"", ""-o"", ""go""]) call([""./go""]) copy is the clearest part of that code though :).",4,bronze,6,Sat Jul 11 2015 01:13:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15169,None,None
/deepgreen,Look into collaboration with processed image data,"Being a late comer, I do not have time to process image data. What I can offer is an extensive professional experiences in building predictive models with a wide range of tools, with background from statistics, machine learning and epidemiology.",0,None,1,Sat Jul 11 2015 01:56:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15170,/competitions/diabetic-retinopathy-detection,None
/kaffyeze83,Titanic RandomForrest v1.2,please what does sibsp and parch variable mean? can this be approached using spss modeler?,0,None,1,Sat Jul 11 2015 02:28:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15173,None,None
/alexanderschaaf,Newbe needs help with xgboost,"Hi Communitiy my best score on LB is 0.375753. I Used GradientBoostingRegressor with default params. I also try several other model's but the performance on LB didn't change. So i decided to try the xgboost approach. My prob is when i run the make file i get an error which says : couldn't find OpenMP library. If i get the information from openMP site right my GCC should support it but it don't.I am right in my conjecture that my hardware doesn't support openMP or can i just upgrade the GCC(never did before). I'am working with a MacBook Pro 2009 3,06 GHz Intel Core 2 Duo. And a second point is that i'am using a Mac since few month's so I don't know it good enough as win. greatings Alex",1,bronze,9,Sat Jul 11 2015 06:22:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15174,/competitions/liberty-mutual-group-property-inspection-prediction,586th
/jiweiliu,My workflow,"I came here once everyday, click and submit, and vote the guy who created the script.",11,silver,34,Sat Jul 11 2015 06:41:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15175,/competitions/liberty-mutual-group-property-inspection-prediction,145th
/hbahrami,Learning curve seems OK but cost function values too high,"Hi, I am writing piece of code in Matlab which loads a large data set (all attributes are numeric ) with more than 400 attributes and more than 3000 data instances, I'm using linear regression with gradient descent to minimize the cost function (LMS) . after 20000 run over entire data set I've plot the cost function values (history) and find it OK, indeed it total value during the runs is decreasing as supposed to, but final value is something around 0.5 * 10^13 . too high !!!! what's wrong ? any advise thanks in advance",0,None,5,Sat Jul 11 2015 09:41:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15178,None,None
/markpeng,Feature Engineering and Ensemble Architecture (7th place),"Congratulations again to all the Winners!! I believe that top winners will give many valuable insights soon. :) In this post I would like to share some of our findings and experience in NLP, feature extraction and feature selection tasks, and also my ensemble architecture. Feature engineering helped us a lot in improving the performance of our different models. Here I write only about my own parts and I think [Link]:https://www.kaggle.com/Darragh (Pearson correlation analysis to submissions) and [Link]:https://www.kaggle.com/CodingNeo would share their amazing parts later. Due to the limitation of Web editor, I cannot show my post in well format here. So please check the following link to download and see full post: [Link]:https://drive.google.com/file/d/0B-20iuF5gIcyQWtpOVlnTTREX3M/view?usp=sharing R example code for RFE and Boruta feature selection can be downloaded from the attachment. This is my first time to share the details of my feature engineering and ensemble architecture in Kaggle. Please feel free to give any comments. Hope it can help other kagglers to some extent. :) Best regards, Mark Peng [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/84136/2729/featureSelection.R",10,silver,7,Sat Jul 11 2015 16:24:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15181,/competitions/crowdflower-search-relevance,7th
/iliasmir,Different result with same script,"Hello, when I ran a script (shared by [Link]:https://www.kaggle.com/Devin) on my laptop, i had 0.386435 in the LB… but using kaggle environment it scores 0.387652",0,None,6,Sun Jul 12 2015 08:24:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15184,/competitions/liberty-mutual-group-property-inspection-prediction,456th
/malzantot,Worried about the loss function,"Hello, I am feeling a bit skeptical about the validity of the loss function equation as stated in the [Link]:https://www.kaggle.com/c/sf-crime/details/evaluation. If $y_{ij}$ is going to be 1 only if example i belongs to category $j$ and 0 otherwise, then according to the equation stated, a prediction function that predicts all values $p_{ij} = 1$ will result in a loss = 0 . right ? for instance : if an example record belongs to category 2, and the predicted values 1, 1, 1 for categories 1, 2, and 3. then the loss value = -1/3 * (0 * log 1 + 1 * log 1+ 0 * log 1) = 0. right ? therefore I believe the equation needs correction.",0,None,2,Sun Jul 12 2015 08:28:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15185,/competitions/sf-crime,1480th
/chenglongchen,1st PLACE - WINNER SOLUTION - Chenglong Chen,"1st PLACE - WINNER SOLUTION - Chenglong Chen First, thanks to the Kaggle team and CrowdFlower for such great competition. I have put the code to generate the winning solution (also the best single model using XGBoost with linear booster) on my github: [Link]:https://github.com/ChenglongChen/Kaggle_CrowdFlower For the approach, please find details in ./Doc/Kaggle_CrowdFlower_ChenglongChen.pdf You can also find it in the attachment. (I apologize that I am not very good at visualization and making figures, and also my poor English.) Best, Chenglong Updated: Sorry about uploading the file twice, please download the second one. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/84196/2730/1st_Solution_ChenglongChen.rar [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/84196/2731/1st_Solution_ChenglongChen.rar",51,gold,8,Sun Jul 12 2015 08:58:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15186,/competitions/crowdflower-search-relevance,1st
/udayabhanu,keras regression outputs are all 1s,"Hi All, Keras output predictions are all ones, nothing else. I am using this module for the first time in python, please help me someone.",0,None,1,Sun Jul 12 2015 12:47:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15187,/competitions/machinery-tube-pricing,326th
/alexanderschaaf,Visualization,"Hi, what tools are you using for data visualization? I only tried Weka to see i.e how many classes are in the data. Greetz",0,None,3,Sun Jul 12 2015 18:30:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15189,/competitions/liberty-mutual-group-property-inspection-prediction,586th
/mackgins,Trouble with GBM in R,Using the data set created with Arnaud's script I can generate a score of ~.3 using randomForest with no tweaking of parameters. When I use the GBM algorithm with the same data set I'm getting a score of ~.8. I've seen some posts that describe people getting better results with GBM than randomForest. What I am I missing?,1,bronze,8,Sun Jul 12 2015 18:30:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15190,/competitions/machinery-tube-pricing,775th
/clustifier,Minimum Image Size,"Hi all, What do you think is the minimum image needed to get meaningful results? Until now I didn't managed to build any reasonable model because of storage limitation on my laptop. Thanks, C",1,None,7,Sun Jul 12 2015 20:58:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15192,/competitions/diabetic-retinopathy-detection,368th
/del=2612cfbf105b37da,sharing scripts,"I wont share a script on this. Im going to win,take the money and find a hot chick who knows how to spend it! And anywhere sharing can lead everyone down the same wrong path. We all share greenhouse emissions and look what that's done!",7,silver,1,Sun Jul 12 2015 23:02:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15193,/competitions/liberty-mutual-group-property-inspection-prediction,None
/yifanxie,"Same script, different performance (Windows Laptop v.s. Kaggle Script Env)","Dear all: Somehow a puzzling question for me, I am running the same scrip using xgboost under firstly my own laptop (windows 8, winpython 3.4) and then secondly under Kaggle's scripting environment ( python 3.4.3, Anaconda 2.2.0 (64-bit)), and the performance on Kaggle's environment somehow is always better? My cross validation script is [Link]:https://www.kaggle.com/yifanxie/caterpillar-tube-pricing/training-set-split-for-cross-validation, and the performance of RMSE based on 10 performance run is the following: Kaggle script environment: 0.214990 My laptop: 0.216969 Basically the there is a good 0.002 RMSE difference! I have also run the same basic script to generate the submission file, and again, always better result from the Kaggle scripting environment. It seems to be only applies to xgboost, I have compare the results of my script using sklearn linear regression and random forest, there results are more or less the same in the two environments. Has anyone experience the same issue? and how do you solve it? The problem is that with 10 minutes run time limitation on kaggle script, I can't really try approaches that is more demanding in computation. Best Regards Yifan",0,None,6,Mon Jul 13 2015 01:30:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15194,/competitions/machinery-tube-pricing,435th
/staesthetics,Ensemble XGBoost & RF 0.41,BOOM! I lied :D,-7,None,1,Mon Jul 13 2015 07:39:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15196,None,None
/domcastro,"""Make a Master"" Christmas Competition","I think it would be nice to have an Annual ""Make a Master"" competition on top of the usual Christmas Competition. 10% and 25% badges aren't so prestigious as they used to be because of the new Scripts (not moaning!) Only Kagglers and Novices can enter No prizes but places 1 to 3 (if they already have a 10% badge) will automatically get their Masters Places 7 to 10 get a 10% badge No Scripts! No teams No Forum over-sharing Run like a Recruitment competition Kagglers on an even territory going for Gold!",10,silver,8,Mon Jul 13 2015 12:17:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15198,None,None
/georgesolymosi,More time for this competition!,"At the start of this competition I figured out, how could I achieve the best result, what would be the key idea, which easily can be the tool to win and help the world too. Done… Then I spent my competition time for figure out, how could I complete this mission with my limited resources. Done… Now I have 14 days to complete one of the key part of my work. I'm not sure it will be enough for this section. Thus it can happen with ease, that my key idea will waste for ever. Done… (?)",-5,None,2,Mon Jul 13 2015 12:22:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15199,/competitions/diabetic-retinopathy-detection,582nd
/chaoranliu,cross validation doesn't work?,"Hello kagglers, I tried both random forest and gradient boosting method, both of which give me 80%+ accuracy with 10 times 10-fold repeated cv. However after submission, gbm only give me 77% and rf gives 76%. I was thinking is it because 10-fold cv not suitable in this dataset? or train/test was not randomly split? Random Forest 891 samples 21 predictor 2 classes: '0', '1' No pre-processing Resampling: Cross-Validated (10 fold, repeated 10 times) Summary of sample sizes: 801, 802, 802, 802, 801, 802, … Resampling results across tuning parameters: mtry Accuracy Kappa Accuracy SD Kappa SD 17 0.8305498 0.6357053 0.03497280 0.07535849 Accuracy was used to select the optimal model using the largest value. The final value used for the model was mtry = 17. Stochastic Gradient Boosting 891 samples 21 predictor 2 classes: '0', '1' No pre-processing Resampling: Cross-Validated (10 fold, repeated 10 times) Summary of sample sizes: 802, 802, 802, 801, 802, 802, … Resampling results Accuracy Kappa Accuracy SD Kappa SD 0.8348282 0.6442524 0.03917766 0.08569171 Tuning parameter 'n.trees' was held constant at a value Tuning parameter 'n.minobsinnode' was held constant at a value of 3",0,None,Random Forest,Mon Jul 13 2015 15:55:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15200,/competitions/titanic,None
/mienvu,TA-21185,"All, I've noticed the following entries in the train data: 30200 TA-21185 S-0066 2011-08-01 4 4 Yes 1 70.07729 30201 TA-21185 S-0066 2011-08-01 4 1 Yes 1 72.34745 All variables are equal to each other except for the min_order_quantity. How do I have to interpret the difference?",0,None,3,Mon Jul 13 2015 16:57:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15201,/competitions/machinery-tube-pricing,683rd
/alexandrudaia,Dealing with outliers,"Hi people, I was just thinking how are you dealing with outliers?",0,None,1,Mon Jul 13 2015 17:53:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15202,/competitions/machinery-tube-pricing,183rd
/kirubakumaresh,Open scripts,"Hi, My updated script which gives 0.389154 on the public LB [Link]:https://www.kaggle.com/kirubakumaresh/liberty-mutual-group-property-inspection-prediction/nominal-ordinal-syndrome KK",11,gold,5,Mon Jul 13 2015 18:18:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15203,/competitions/liberty-mutual-group-property-inspection-prediction,193rd
/kirubakumaresh,benchmark,"Thanks, I used this script as base and modified it. The updated one gave me a LB score of 0.389154 [Link]:https://www.kaggle.com/kirubakumaresh/liberty-mutual-group-property-inspection-prediction/nominal-ordinal-syndrome Thanks",0,None,1,Mon Jul 13 2015 18:20:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15204,None,None
/broham,One hot encoding vs assigning numbers to police districts?,"I'm trying to figure out how to represent the police district in my data. The first option I am considering is creating a column for each district and inserting a 1 if the record is in that district, which I believe is called ""one hot encoding""(?). Something like this: Bayview | Northern | Southern ------------------------------ 0 |0 |1 1 |0 |0 copy The other option I am considering is assigning an integer value to each department and leaving it as one column. Example: Dept_Id ----------- 3 1 8 copy Where 3 would represent, say, Bayside, 1 would represent Southern and 8 would represent Northern. Any suggestions on which of these methods might be better and why? Thanks for any info.",0,None,2,Mon Jul 13 2015 18:23:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15205,/competitions/sf-crime,2217th
/xophe92,Visualisation of NN model performance,"Hi, for my first submission, a neural network and a visualisation of the performance of ""my"" model. to read the plots: green dots correspond to a train sample well predicted by the model / red dots not… 4 sub plots depenting on the sex of the passenger and if he or she survived or not 2 axes are Class and Fare We can clearly see interresting things on the plots: The model clearly kills all low class passengers which makes it making errors; It perfectly saved rich ladies; I should try to find explanatory variables in the cheaper Pclass but I thing given the situation, a strong chaos may have happen. I will eventually try to make a geographical analysis of the case. All your comments would be greatly appreciated",1,None,2,Mon Jul 13 2015 22:29:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15206,None,None
/artificialbrilliance,Small Clues (Associations & Correlation in Combined Data),"Here are some interesting things I have found that may help others. If you are super advanced and this isn't relevant to you please don't kick my teeth in. lol I am just here to have fun and expand my experience. :) The interesting thing was, I couldn't find these potential connections until I added the test data to the training data into one singled dataset. I removed Column Headers and rows ID and Hazard just to see if there was anything to discover in the data itself. Maybe this is interesting to you and maybe not. Hope it helps. I figured I should post it just because. :) T2_V12 may be associated to T1_V17 Screenshots: [Link]:https://www.dropbox.com/s/de6nni2mjvt8h25/Screenshot%202015-07-13%2014.17.28.png?dl=0 [Link]:https://www.dropbox.com/s/02p2hsyjtjav2ip/Screenshot%202015-07-13%2014.24.11.png?dl=0 [Link]:https://www.dropbox.com/s/62yufqkyah4cv17/Screenshot%202015-07-13%2014.25.28.png?dl=0 T2_V13 may be associated to T2_V11 Screenshots: [Link]:https://www.dropbox.com/s/m7kw6p6b6n9a6y0/Screenshot%202015-07-13%2014.26.38.png?dl=0 [Link]:https://www.dropbox.com/s/8nzti5eg2yn04cs/Screenshot%202015-07-13%2014.27.22.png?dl=0 [Link]:https://www.dropbox.com/s/ogiohs7x3tcc0xg/Screenshot%202015-07-13%2014.28.08.png?dl=0 T2_V14 may be correlated with T2_V6 Screenshots: [Link]:https://www.dropbox.com/s/pombdxpnhy45vhi/Screenshot%202015-07-13%2014.29.28.png?dl=0 [Link]:https://www.dropbox.com/s/r8synsuvqt0xxgx/Screenshot%202015-07-13%2014.31.17.png?dl=0 [Link]:https://www.dropbox.com/s/yw6r5ejodx7oqpg/Screenshot%202015-07-13%2014.31.52.png?dl=0",6,silver,2,Mon Jul 13 2015 23:41:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15208,/competitions/liberty-mutual-group-property-inspection-prediction,1819th
/danwong,Errors when trying to convert tolower,"I have restarted my r.app many times and cleared data from the workspace multiple times, yet the same error appears all the time. I'm using R 3.2.0 GUI 1.65 Mavericks build (6931) on OS X 10.10.4. I used the same R app I used for Week 5, and no errors appeared then. I would appreciate any help. Thank you in advance! eBayTrain = read.csv(""eBayiPadTrain.csv"") library(tm) Loading required package: NLP library(SnowballC) corpus = Corpus(VectorSource(eBayTrain$description)) corpus = tm_map(corpus, tolower) Warning message: In mclapply(content(x), FUN, …) : all scheduled cores encountered errors in user code corpus[[1]] [1] ""Error in FUN(X[[i]], …) : invalid multibyte string 1\n"" attr(,""class"") [1] ""try-error"" attr(,""condition"") corpus[[1]]$content Error in corpus[[1]]$content : $ operator is invalid for atomic vectors",0,None,15,Tue Jul 14 2015 04:00:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15212,/competitions/15-071x-the-analytics-edge-summer-2015,1380th
/grishma16,getting started,"Hi, I am very new to kaggle so am facing difficulties to find the questions.i dont find any question ..",0,None,3,Tue Jul 14 2015 05:28:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15213,/competitions/15-071x-the-analytics-edge-summer-2015,1842nd
/paweldawidson,To make a submission i need SMS Verification ?!?!?!,In brave new world everyone must have mobile phone lol Sadly i probably skip competition,1,None,7,Tue Jul 14 2015 05:50:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15214,/competitions/15-071x-the-analytics-edge-summer-2015,448th
/udayabhanu,xgbooost,"I used and ran this script locally, but I got very high score, not close to 0.235 as given here. May be my local machine is doing something funny.",0,None,1,Tue Jul 14 2015 07:24:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15215,None,None
/itankoyeu,R xgBoost with Gini eval and stopping,"I extend the script by adding the following code: finalSubmision <- data.frame(Id=test_Id) finalSubmision$Hazard <- predict(bst2, test_x) write_csv(finalSubmision, ""submissionlscriptKaggle.csv"") copy However, it returns 0.181057 on public leader board and local CV shows me 0.3654 I would appreciate any hints with regard to this issue.",0,None,36,Tue Jul 14 2015 08:53:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15222,None,None
/tifaccio,End forms,"i don't know, whether this will be important, but here the questions towards the guys with the data knowledge: Is end_form_id_1 in the file comp_adaptor.csv with the identifier ""A-001"" … ""A-007"" the same as end_a and end_x in the file tube.csv with the identifier ""EF_001""…""EF_026"" ? Both are some kind of end forms, are these the same or maybe male/female part of a coupling?",0,None,2,Tue Jul 14 2015 08:53:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15223,/competitions/machinery-tube-pricing,1263rd
/mindcool,"Closed an account and opened another, is it cheating?","Hello, I closed my previous account in order to clear my history and do a fresh restart. I created a new account and submitted to Caterpillar Tube Pricing Competition as team mind.cool. My previous team was Luis Andre Dutra e Silva. Since my old account is closed, is it considered cheating? I apologize for the inconvenient.",0,None,15,Tue Jul 14 2015 09:03:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15224,None,None
/mindcool,"I closed my account and I opened another, is it cheating?","Hello, In order to do a fresh restart and clear my history, I closed my account and opened another. Nevertheless my old team remains in ranking as Luis Andre Dutra e Silva and I cannot change my new account to my old name and it is named mind.cool. Since my old account is disabled, is it considered cheating? I apologize for the inconvenient.",2,bronze,3,Tue Jul 14 2015 09:38:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15225,/competitions/machinery-tube-pricing,111th
/kaggleyahoo,When to drop categorical feature?,"Hi guys, I am newbie.I have a question regarding categorical features. For example if a categorical feature has too many available values should I drop it? In general how to deal with feature like temporal feature_How to use for example time or date in prediction? Cheers",0,None,2,Tue Jul 14 2015 10:27:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15226,/competitions/titanic,None
/pandan,A more advanced take on logistic regression: the elastic net,"For this challenge, you might come up with a ton of predictor variables. It can be very overwhelming and time-consuming to test out the different variable combinations: which variables to keep and which ones to remove. One of the common (and best!) ways to handle this problem is to use regularization methods such as the lasso under the glmnet package. Here's a nice tutorial on using it: [Link]:http://stats.stackexchange.com/questions/72251/an-example-lasso-regression-using-glmnet-for-binary-outcome, although you will have to do extra reading on your own to fully implement it. :) The elastic net has two basic modes: the lasso (alpha = 1) and the ridge regression (alpha = 0), although you can play around with settings in-between. Lasso gets rid of useless variables by giving them a coefficient of 0, while ridge regression ""fixes"" weird coefficients due to high multicollinearity. Do note that the glmnet() function takes in matrices, not data frames, and you need to convert all strings and factors to numbers. Also, to get the best result, you should scale and center your variables--the course teaches you how to do this properly. Happy learning, everyone! And do have fun with the competition.",4,bronze,13,Tue Jul 14 2015 11:28:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15227,/competitions/15-071x-the-analytics-edge-summer-2015,107th
/rootua,Apache Spark - Logistic regression,"Hi. I've tried to use Apache Spark and Scala in this competition. My code is here - [Link]:https://www.kaggle.com/rootua/avito-context-ad-clicks/apache-spark-scala-logistic-regression I've used already implemented in MLlib algorithms - logistic regression with mini-batch gradient descent and L-BFGS ( [Link]:https://spark.apache.org/docs/latest/mllib-linear-methods.html). But the results are not very good. This example can't beat a benchmark. Best result that I've achieved was 0.13792 on LB (trained on all label=1 and 3% of label=0, with features hashing). Features hashing I've implemented in the same way, as here - [Link]:https://www.kaggle.com/abhishek/avito-context-ad-clicks/beating-the-benchmark",1,bronze,8,Tue Jul 14 2015 11:49:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15228,/competitions/avito-context-ad-clicks,304th
/guillermosantamaria,Properties with no categories,"How do we deal with properties which do not have categories in the file property_category.csv.? In particular, property_20440 is very common among devices, but it does no have defined categories. Does it mean this information is missing, or that the property can not be categorized? Thanks in advance",0,None,1,Tue Jul 14 2015 11:57:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15229,/competitions/icdm-2015-drawbridge-cross-device-connections,78th
/henkelto,Tasks and submissions,"I am completely new to Kattle. I have read all information provided, but I do have some questions to the more experienced users. Is there only one task or will there be serveral ones? What if a newer submission is worse then the one before? Can I influence the grade if upload really bad results for testing purposes? Thank you in advance, Torsten",0,None,2,Tue Jul 14 2015 12:20:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15230,/competitions/15-071x-the-analytics-edge-summer-2015,936th
/drchrisarthur,Load and scale function,This script uses sklearn_pandas which isn't installed at kaggle pip install sklearn-pandas,0,None,4,Tue Jul 14 2015 13:07:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15232,None,None
/yifanxie,Training set split for cross validation,"Added some comment, should be self explanatory, but just to keep up with the ""good"" coding practices :)",0,None,12,Tue Jul 14 2015 16:23:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15233,None,None
/agrawalanuj,testing accuracy,"how are we supposed to test our models on the testing set if there is no dependent variable in the test set? i have my model ready but what should ipredict on the test set since there is no ""sold""variable?",0,None,18,Tue Jul 14 2015 17:24:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15234,/competitions/15-071x-the-analytics-edge-summer-2015,1453rd
/thekeymaker,XGBoost: Sklearn API GridSearch + early_stopping ,"Hello collective intelligence, I'm running a few experiments with the great [Link]:https://github.com/dmlc/xgboost which includes a sklearn wrapper. As you all know this enables you to integrate XGBoost into sklearn routines such as GridSearchCV which is great. I was wondering if I can use XGB's ""early_stopping"" feature in combination with the sklearn wrapper, e.g. when performing GridSearch. So far, I assume it's not possible and I haven't found information on it. Presumably, it's either sklearn's convenience or the felxibility/control of the ""original"" xgb framework. While it is no problem to code grid search yourself it might be interesting if anyone of you has managed to combine the two. Help would be greatly appreciated. TKM",6,None,9,Tue Jul 14 2015 18:01:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15235,/competitions/liberty-mutual-group-property-inspection-prediction,187th
/karunesharora,Number of submissions per day?,"Is that true that we are only allowed two submissions per day? I can currently only submit two entries and I have to wait 24 hrs to try again! Under rules page there is contradictory statements about submission limit per day. Under ""COMPETITION-SPECIFIC TERMS "" it is mentioned that MAXIMUM SUBMISSIONS PER DAY: 5 However, under Submission Limits it is mentioned that: You may submit a maximum of 2 entries per day. You may select up to 2 final submissions for judging. Please clarify. Thank you.",1,None,7,Tue Jul 14 2015 18:21:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15236,/competitions/15-071x-the-analytics-edge-summer-2015,808th
/tonygracious,Looking for team members?,I am new to Kaggle. I know machine learning and little Python programming. Can any one help me out by forming group with me ?,0,None,14,Tue Jul 14 2015 18:57:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15237,/competitions/digit-recognizer,None
/domcastro,nominal_ordinal_syndrome,"I'm a bit late to the party - why are you dropping some of the fields? train_s.drop('T2_V10', axis=1, inplace=True) train_s.drop('T2_V7', axis=1, inplace=True) train_s.drop('T1_V13', axis=1, inplace=True) train_s.drop('T1_V10', axis=1, inplace=True) Was it just that dropping them improved LB score?",1,None,3,Tue Jul 14 2015 20:42:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15238,None,None
/woshialex,bracket pricing formula,"I noticed that for most of the tubes, price = a+b/quantity is almost a perfect fit (r^2=0.9999) and it makes economic sense that ""a"" stands for variable cost and ""b"" is the fixed cost. I have not gain anything in forecasting the cost, but it seems likely to be useful. Suggestions/comments are welcomed. thanks",9,silver,16,Tue Jul 14 2015 21:14:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15239,/competitions/machinery-tube-pricing,5th
/benhamner,Decision Tree Visualization & Submission,"This is a nice example of a decision tree visualization in R on the titanic dataset! I suggest updating the title name to be something more descriptive, for example ""Decision Tree Visualization and Submission""",13,bronze,35,Tue Jul 14 2015 23:17:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15240,None,None
/vinnyc,error in data.frame,"Hi, I simply took existing data as provided and created a CART model. I was able to generate the model and even get a AUC score via R. However, when I ran the following command to write the results, I received the following error: MySubmission2 = data.frame(UniqueID = eBayTest$UniqueID, Probability1 = predCART) Error in data.frame(UniqueID = eBayTest$UniqueID, Probability1 = predCART) : arguments imply differing number of rows: 798, 1861 Any help in understanding why I received this error would be appreciated. Thanks, VinnyC",0,None,4,Wed Jul 15 2015 00:11:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15241,/competitions/15-071x-the-analytics-edge-summer-2015,1491st
/rocelot,R xgboost Gini  v2,Thanks from a fellow actuary ! This script is great.,0,None,10,Wed Jul 15 2015 02:23:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15242,None,None
/abhishekbarnwal,sklearn gridsearchCV,"I have been playing around with the gridsearchCV and cross_validation_score methods in scikit with xgboost, and for some bizarre reason one method results in a score vastly different from the other. I don't think this is a bug, but I have been at this for a few hours now and another perspective would be useful. My code is below for those interested. clf1 = XGBRegressor() params = {list of parameters} model = grid_search.GridSearchCV(estimator = clf1, param_grid=params, scoring=gini_scorer, verbose=3, n_jobs=-1, iid=1, refit=0, cv=4) model.fit(train, target) print model.best_score_ clf1 = XGBRegressor(initialised with the same parameters as above) cross_validation.cross_val_score(clf1, train, target, scoring = gini_scorer, cv = 4, n_jobs=-1) copy GridsearchCV results in a score of 0.26, while cross_val_score results in a score of 0.34. Can anyone offer thoughts on why this might be happening?",3,bronze,5,Wed Jul 15 2015 05:10:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15250,/competitions/liberty-mutual-group-property-inspection-prediction,504th
/neerajgarg,Confusion over number of submission allowed,"Hi, Somewhere it is mentioned that ""You may submit up to 5 submissions each day."", however, i'm able to submit the 2 entries per day.. Could someone clarify here. Regards, Neeraj",1,None,3,Wed Jul 15 2015 06:26:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15251,/competitions/15-071x-the-analytics-edge-summer-2015,843rd
/benhamner,Splines with R,This type of visualization makes it simple to visually classify the iris dataset,1,bronze,7,Wed Jul 15 2015 07:43:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15252,None,None
/amosang,Are you using Clustering?,"Would like to start a thread on clustering. Are you doing clustering, and does it help? I found that it doesn't work on non-numeric variables, and am thinking of converting non-numeric variables to ""dummy variables"" which then have a 1 or 0. Would like to hear your opinions, and techniques. Cheers, Amos",1,None,25,Wed Jul 15 2015 10:21:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15256,/competitions/15-071x-the-analytics-edge-summer-2015,1526th
/qmaruf,testing to learn,Why is this script taking longer time to execute?,0,None,2,Wed Jul 15 2015 10:27:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15257,None,None
/bhaskar7,Post deadline submission leader board,"Hi, The submitted scores are not being shown in any leaderboard but score can be seen in activity tab in kaggle profile page. Can anyone tell me to which leaderboard that corresponds to?",0,None,2,Wed Jul 15 2015 11:33:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15258,/competitions/restaurant-revenue-prediction,None
/tripathisiddharth21,word count,how to fill the word count variable added in the script file to our data fram,0,None,1,Wed Jul 15 2015 11:40:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15259,/competitions/15-071x-the-analytics-edge-summer-2015,684th
/del=2612cfbf105b37da,Line of best fit,Would a straight line or spiral sample enough of an image?,-1,None,1,Wed Jul 15 2015 11:54:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15260,/competitions/diabetic-retinopathy-detection,None
/mayankpj,Can I create aggregated features using test data?,"Hi All, I am wondering if it is ok to create any kind of aggregated feature using the test data in addition to training data? Is that allowed per the competition rules or not. I request competition admins to help clarify it please.",1,bronze,4,Wed Jul 15 2015 12:41:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15261,/competitions/machinery-tube-pricing,510th
/woshialex,team?,Does anyONE in the top 30 would like to join me as a team? My single best strategy gives CV score of ~0.224x and leader board of ~0.221 at the moment. One requirement: you should be used to strictly use Cross validation instead of keep trying to fit the leader board. I use python.,2,bronze,6,Wed Jul 15 2015 15:22:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15263,/competitions/machinery-tube-pricing,5th
/alexandrudaia,Team up,"Hi all, Me and my partner Vadiraj are looking for someone to join up with us.Ware are facing with a ,,dead-end'' so we would like to merge with someone with a new approach. (find us here : alexandru130586@yandex.com)",0,None,5,Wed Jul 15 2015 15:49:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15264,/competitions/machinery-tube-pricing,183rd
/nsrajiv,Should Tube_Assembly_ID be part of the submission sheet,"Just wanted to understand, Should Tube_Assembly_ID be part of the submission sheet? it is missing in the given sample. It is only Supplier Id and Cost in there. should we not include the Tube_Assembly_Id?",0,None,2,Wed Jul 15 2015 17:06:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15266,/competitions/machinery-tube-pricing,None
/agrawalanuj,Tappl not found?,"ive made a model on the train set.The frequent terms from the description have a suffix T added.When i run it on the test set it gives an error ""Tappl"" not found. Why is this happening?",0,None,1,Wed Jul 15 2015 19:43:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15267,/competitions/15-071x-the-analytics-edge-summer-2015,1453rd
/jhpincus,Problem Building Simple CART Model,"I'm trying to build a CART model of sold vs. all variables in ebayTrain except description and UniqueID. I've converted all the character variables to factors and confirmed their conversion with str(). When I run ebayTree <- rpart(sold ~ . -description - UniqueID, data = eBayTrain, type = ""class"") or ebayTree <- rpart(sold ~ . -description, data = eBayTrain, ). I get the following error: Error in rpart(sold ~ . - description, data = eBayTrain, type = ""class"") : NAs are not allowed in subscripted assignments. I've Googled the error but didn't find anything useful. Any suggestions? Update - If I try to add factor variables one at a time as in eBayTree <- rpart(sold ~ startprice, data = eBayTrain, type = ""class) where sold is numeric and startprice is a factor I get an error message saying Error in rpart(sold ~ startprice, data = eBayTrain, type = ""class"") : Argument type not matched. Converting startprice to an integer or factor doesn't help.",0,None,13,Wed Jul 15 2015 20:03:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15268,/competitions/15-071x-the-analytics-edge-summer-2015,25th
/kontoudi,comp_threaded.csv strange value,"Hello, I noticed that in the 193rd line of the file comp_threaded there is the value ""See drawing"". I guess it somehow sneaked in the data. I just replaced it with NA for the moment.",3,bronze,1,Wed Jul 15 2015 20:16:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15269,/competitions/machinery-tube-pricing,150th
/camcamcam,Official Gini metric code in C#,"This doesn't seem to be right. I got -0.33 from the following example. The [Link]:https://www.kaggle.com/jpopham91/liberty-mutual-group-property-inspection-prediction/gini-scoring-simple-and-efficient gives 0.245 which sounds more reasonable. double[] d = new double[5] { 5.1, 3.2, 1.7, 6.2, 8.1 }; double[] p = new double[5] { 3.1, 5.2, 2.7, 5.1, 1.1 }; double s1 = Metrics.GiniNormalized(d.ToList(), p.ToList()); copy",0,None,2,Wed Jul 15 2015 21:23:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15270,None,None
/antonov,Random forrest vs logistics regression,"Can any one explain why it is more reasonable (tutorial used it) and, in fact, more accurate to work with RF in this competition?",0,None,5,Wed Jul 15 2015 22:12:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15271,/competitions/titanic,None
/krishnatokala,oussamaBest1,I have a noob question. How did you find out that you had to drop those 4 features while training your data? I am trying to learn from this challenge and wanted to know about it,0,None,3,Wed Jul 15 2015 22:14:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15272,None,None
/rsoltani,how can we use property information in our positive and negative cases?,"how can we use property information in our positive and negative cases of our model, as the data is not in a tabular format! for example one IP has 20 property with 10 category and the other one has 40 property with 100 categories! would you please give me a hint?",2,bronze,1,Wed Jul 15 2015 23:39:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15274,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/smcinerney,Correlation Matrix Visualization,"Nice, but you only did the integer columns, you ignored the factor columns: cor(train[sapply(train, function(x) !is.character(x))]) You should make those factors, and include them. There are various measures of association for categoricals, depending on: how many levels (dichotomous vs polytomous/multilevel) nominal vs ordinal ordered vs unordered And as for the integer/numeric vars, you can compute both Kendall, Spearman or Pearson. Take a look at [Link]:http://cran.r-project.org/web/packages/DescTools/, it has a full set of association metrics and other goodies.",3,bronze,6,Thu Jul 16 2015 00:22:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15275,None,None
/benrolls,Partner?,"I was fifth on the leaderboard, just knocked down to sixth. I don't have much time to work on this for the next couple weeks. I have a really interesting (or at least i think so) representation of the features - the interesting part for me. Frankly, I'm getting tired of tuning parameters on models and blending them in ensembles. At the same time, id rather not let my features just go to waste. If there's no suitable partner, I'll certainly throw up a script in a little while.",0,None,6,Thu Jul 16 2015 00:44:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15276,/competitions/machinery-tube-pricing,4th
/stephenvoreilly,how are the competition points scored?,"The course outline shows that the final grade is based on 15% from the score of the competition. I understand the winner will have their AUC closest to 1, but how is the competition graded overall?",0,None,2,Thu Jul 16 2015 01:10:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15277,/competitions/15-071x-the-analytics-edge-summer-2015,441st
/jhpincus,Cross-Validation Problem,"I'm trying to run cross-validation on the native eBayTrain data set without the descripton or UniqueID variables. I've set numFolds = trainControl( method = ""cv"", number = 10 )and cpGrid = expand.grid( .cp = seq(0.01, 0.5, 0.01)). When I run rpart using sold vs. all other variables I get the following message: Warning message: In nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo, : There were missing values in resampled performance measures. What does this mean?",0,None,4,Thu Jul 16 2015 03:39:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15280,/competitions/15-071x-the-analytics-edge-summer-2015,25th
/jkondik,All Arguments must have same length (logistic regression)?,"I am trying to run a logistic regression on factor data. However, after I complete the necessary steps for: GLM Predict Table I get ""Error in table, all arguments must have same length"" I can't figure out why I am getting this error. Does anyone have an idea? Thanks for the help.",0,None,3,Thu Jul 16 2015 05:13:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15281,/competitions/15-071x-the-analytics-edge-summer-2015,661st
/barbacot,Imputation,"How to work with the Unknown values? a) Work with the variable as factor; (it loses the advantage of numerical ordering, e.g. the storage variable b) Exclude those rows from the model? (doesn't seem good, as there are many such rows) c) Assign them N/A value and apply imputation (could this be meaningful? assigning most probable values for storage based on color and carrier, for example?)",0,None,14,Thu Jul 16 2015 08:41:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15283,/competitions/15-071x-the-analytics-edge-summer-2015,155th
/julesvanligtenberg,Is there a relation between Kaggle ranking and freelance rate?,"Is there or should there be a relation between a Kaggle ranking and the freelance rate per hour one can ask? If so what would this relation be? Is it (also) dependent on other variables? Is there a minimum? What should one ask at the minimum, given someone's ranking? Is there a maximum? What could one ask given someone's ranking? Is there a most reasonable rate given someone's ranking? Any ideas?",0,None,15,Thu Jul 16 2015 11:33:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15284,None,None
/michalthedude,Xgboost - Parameter Selection / Tuning ?,"Hi, Currently I'm trying to get my head around couple of problems and would really appreciate if you could help me. I was using Xgboost couple of times, but was always struggling with Best Parameters Selection. I mean what eta, gamma, max_depth, min_child_weight should I use? Also could you please explain to me, what xgb.train do? Because in code we define ""param"" earlier, so it would change during training. bst <- xgboost(data, label, param) copy I'm asking because I keep in mind caret train function. In which we can define tuneLength or tuneGrid and which search for us best parameters. Additionally I found this script of our kaggle friend amunategui: [Link]:https://github.com/amunategui/BetterCrossValidation/blob/master/CrossValidation2.R and I think that in this way we should look for a appropriate parameters. Thanks, Michal",5,bronze,10,Thu Jul 16 2015 14:36:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15286,/competitions/liberty-mutual-group-property-inspection-prediction,1430th
/vipul123,Variable values in Japanese,"some of the variables in most of the data files seems to be in Japanese e.g. Coupon_list_train variables Capsule_text, Genre_Name, Large_Area_Name, Small_area_Name, ken_name. Is there a way to convert this text to English?",1,bronze,8,Thu Jul 16 2015 15:37:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15288,/competitions/coupon-purchase-prediction,878th
/alexbra,Int or float hazard value,"Hi everyone! I'am new in machine learning and I don't understand why in train.csv all hazard features are integer but after applying the nearest forest regression on the test data I'd receive hazard values as a float. e.g. Id, Hazard 6, 2.754356622482229 7, 4.190315465216501 8, 5.586381660399346 9, 3.5528017619987553 Thanks for help. Alex",0,None,3,Thu Jul 16 2015 15:59:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15289,/competitions/liberty-mutual-group-property-inspection-prediction,1681st
/ntkrules,Tips to tune the model,"Hi, Hope you are all enjoying the competition. I've created almost all the possible models viz., Logistic Regression, CART, Random Forests etc. but haven't been able to improve my AUC by a significant margin. Logistic regression so far has proved to be the best of the lot. What am I doing wrong? My Random Forest model is just producing a mediocre AUC of 0.84 using the training set despite my attempts to tune it to perform better. I'm hoping to get some tips from all the learned folks here. Any help is greatly appreciated.",2,bronze,9,Thu Jul 16 2015 16:25:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15290,/competitions/15-071x-the-analytics-edge-summer-2015,39th
/kontoudi,Duplicate id's in coupon area data,"Hello, It looks like there duplicate id's in the coupon_area_train.csv as you can see [Link]:https://www.kaggle.com/kontoudi/coupon-purchase-prediction/duplicate-id-s. Is this normal?",0,None,2,Thu Jul 16 2015 17:54:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15291,/competitions/coupon-purchase-prediction,None
/inversion,Kaggler Humor Contest,"Let's see who can come up with the worst (er . . . I mean best) kaggler-worthy humor. Here's mine, to get us started: Q: Why were the Romans so bad at algebra? A: They always ended up with X equals 10.",4,bronze,6,Thu Jul 16 2015 18:56:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15292,None,None
/cbourne,"Calculation of ""atemp"" Variable","Hey folks, I'm interested in knowing what formula/methodology was used to calculate the variable ""atemp"". atemp is meant represent the ""feel like temperature in Celsius"". Thing is, there are multiple ways to calculate this. There's the ""heat index"", the ""humidex"", or you're even got the ""Accuweather RealFeel Temperature"". Sometimes it's just temperature and relative humidity, and sometimes it can include other factors such as wind speed or dewpoint. Is the formula used to calcuate atemp known (probably an Admin question)? I'm trying to not have to reverse engineer it, if possible.",0,None,1,Thu Jul 16 2015 21:17:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15294,/competitions/bike-sharing-demand,None
/sadaranga,Removing white spaces,"Hi, Can somebody help me with removing white spaces within a string of data frame? I was not able to find any documentation. For example, I would like to make ""iPad 2"" to ""iPad2"" Thanks, Sada",0,None,3,Thu Jul 16 2015 22:36:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15295,/competitions/15-071x-the-analytics-edge-summer-2015,1014th
/triskelion,What is this type of problem called?,I found this to be an interesting problem with no other comparison competition. Does anyone know of any related problems? What is this type of problem called? Does this problem have elements of zero-shot recommendation?,10,silver,7,Thu Jul 16 2015 23:40:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15297,/competitions/coupon-purchase-prediction,611th
/mikhailtrofimov,2nd place solution,"Hi guys, First, thanks to the Kaggle team, kagglers and CrowdFlower for such great competition. We have prepared our code and put it on github: [Link]:https://github.com/geffy/kaggle-crowdflower For the approach, please find details in './description.pdf' Best, Mikhail, Stanislav, Dmitry",10,silver,4,Fri Jul 17 2015 00:25:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15299,/competitions/crowdflower-search-relevance,2nd
/ofdomejean,Show Map Image in Python,"Hi Ben, Is there an R code version to get the SF map from the sf_map_copyright_openstreetmap_contributors.txt. Thanks",0,None,1,Fri Jul 17 2015 01:02:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15301,None,None
/benhamner,First view of the data,"Nice quick look at the data! A couple things that may make this clearer: split into a couple different images (or make the image taller), so there's more space per plot & the title/axes are completely visible label the green, red, and blue line series",1,bronze,1,Fri Jul 17 2015 02:17:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15302,None,None
/spartakovic,New leader,"It seems that we have a new leader, who crushed everyone. How is that high accuracy possible? What approach could be used to achieve such precision?",2,bronze,2,Fri Jul 17 2015 03:41:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15303,/competitions/sf-crime,420th
/vishalchangrani0,"Newbie question: List of all data models, their tuning parameters and their application domain?","Hi, I apologize upfront if I sound naive… I have been reading about data science and trying to get my feet wet with R. The examples I have come across in several books use one or the other modeling techniques such as Linear regression, decision trees, K-means clustering etc. I understand that the modeling technique is chosen based on the problem - classification, prediction etc. Is there a comprehensive list of all the data models out there, the parameters that can be used to tune them and what problem domain are they applicable to? Is there a book or a site that will help me get a perspective of all or atleast most of the common models that I can choose from? I am not really sure how to choose a model. thanks, -v-",2,bronze,3,Fri Jul 17 2015 04:52:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15304,None,None
/chrisfs,Can't load file into Ipython,"Hi, I have hit an impasse. I have combined the subject files in the training set into one big csv file. But when I try to read it into a dataframe in Pandas using Ipython Notebook, it works for 45 minutes and then gives me a memory error. This has happened each time (several times). I am not sure what to do at this point. Would it be any different to try and put the data in a database and import it from there ? Or use R (RStudio) ? Or do I simply need to find a computer with more Ram ? The file is 2.5 GB big. My current computer has 4 GB of Ram and a 64 bit Windows OS. I have an Ubuntu pc with 2.5 GB Ram that I haven't tried yet. Should I start trying to learn about Amazon cloud servers? (which I have never used) Am I effectively out of this competition ? Any thoughts on how to get past this would be greatly appreciated . Thanks, Chris",0,None,3,Fri Jul 17 2015 05:41:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15307,/competitions/grasp-and-lift-eeg-detection,308th
/benhamner,Random Forest - # of trees and accuracy,"Nice example! You can try running it for more trees, since the classifier performance hasn't quite plateaued at 100 yet. Also, in principle you don't need to train a new forest for each observation in the number of trees. It's possible to train a model for the largest number of trees, and then evaluate the performance using the relevant subsets of those trees. However, I don't know if this is simple to do with the scikit-learn API (especially with cross-validation in there).",2,None,5,Fri Jul 17 2015 06:53:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15309,None,None
/dataeagle,The meaning of cellular IP and property,"In the IP aggregation table (ipagg_all.csv), there's a feature ""Is cell IP"", of which the provided meaning is ""If IP is cellular IP or not"". I want to know the meaning of cellular IP, is it the IP of base station or ? Also In the Property observation table (id_all_property.csv), the indicated meaning of ""property"" is ""Website name for cookie, and mobile app name for the device"", but I've found some properties that were visited by both cookie and device. How could this happen ? Could someone clarify this? Thanks a lot.",0,None,5,Fri Jul 17 2015 07:02:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15310,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/jfreeberg,Which data sets can I use?,"I'm a little confused as to which data sets I can use for making my predications: test.csv vs. train.csv. This is my first competition, so any other pointers for a beginner would be appreciated!",0,None,1,Fri Jul 17 2015 07:28:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15311,/competitions/sf-crime,None
/jedeward99,Some iamges are broken...,"Dear Friends, I've newly participated this competition. I downloaded test data but 43 pairs(i.e. 86 image files) are 0 in size. Their names are as follows; 9345_left.jpeg 9345_right.jpeg 9347_left.jpeg 9347_right.jpeg 9349_left.jpeg 9349_right.jpeg 9350_left.jpeg 9350_right.jpeg 9352_left.jpeg 9352_right.jpeg 9354_left.jpeg 9354_right.jpeg 9355_left.jpeg 9355_right.jpeg 9356_left.jpeg 9356_right.jpeg 9357_left.jpeg 9357_right.jpeg 9360_left.jpeg 9360_right.jpeg 9361_left.jpeg 9361_right.jpeg 9362_left.jpeg 9362_right.jpeg 9363_left.jpeg 9363_right.jpeg 9364_left.jpeg 9364_right.jpeg 9365_left.jpeg 9365_right.jpeg 9367_left.jpeg 9367_right.jpeg 9369_left.jpeg 9369_right.jpeg 9371_left.jpeg 9371_right.jpeg 9372_left.jpeg 9372_right.jpeg 9373_left.jpeg 9373_right.jpeg 9374_left.jpeg 9374_right.jpeg 9375_left.jpeg 9375_right.jpeg 9378_left.jpeg 9378_right.jpeg 937_left.jpeg 937_right.jpeg 9380_left.jpeg 9380_right.jpeg 9385_left.jpeg 9385_right.jpeg 9386_left.jpeg 9386_right.jpeg 9387_left.jpeg 9387_right.jpeg 9388_left.jpeg 9388_right.jpeg 9389_left.jpeg 9389_right.jpeg 938_left.jpeg 938_right.jpeg 9393_left.jpeg 9393_right.jpeg 9394_left.jpeg 9394_right.jpeg 9395_left.jpeg 9395_right.jpeg 9397_left.jpeg 9397_right.jpeg 9399_left.jpeg 9399_right.jpeg 93_left.jpeg 93_right.jpeg 9400_left.jpeg 9400_right.jpeg 9401_left.jpeg 9401_right.jpeg 9403_left.jpeg 9403_right.jpeg 9405_left.jpeg 9405_right.jpeg 9406_left.jpeg 9406_right.jpeg 9407_left.jpeg 9407_right.jpeg pls help me. how can i download those original files? regards.",0,None,3,Fri Jul 17 2015 07:44:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15312,/competitions/diabetic-retinopathy-detection,21st
/duttaroy,Downloading data,All - I had go through some hickups in getting data into a server using wget for this competition. Hope this helps any one in my situation. I used this plugin on chrome to get cookie data ( [Link]:https://chrome.google.com/webstore/detail/cookietxt-export/lopabhfecdfhgogdbojmaicoicjekelh) save it as cookies.txt Upload the cookies.txt on your server Now use wget to download files: wget -x --load-cookies cookies.txt [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/download/train.zip.001 wget -x --load-cookies cookies.txt [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/download/train.zip.002 wget -x --load-cookies cookies.txt [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/download/train.zip.003 wget -x --load-cookies cookies.txt [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/download/train.zip.004 wget -x --load-cookies cookies.txt [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/download/train.zip.005,5,bronze,5,Fri Jul 17 2015 09:14:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15313,/competitions/diabetic-retinopathy-detection,615th
/lorenzourbini,stock prediction to get rich,"Hi all, I'm looking for collaborators to experiment a bit around stock predictions in an attempt to get rich leveraging the output data in spread betting. Anyone interested in invest a bit of his time with me on this? Ping me privately if yes please.",0,None,8,Fri Jul 17 2015 09:18:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15314,None,None
/wildwizard,530 degrees bending?,"Hello I found that some bending angles are set at more of 360°. Admins, are we working on non Euclidean tubes for Cthulhu Aspected Trucks?:)",0,None,7,Fri Jul 17 2015 10:52:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15315,/competitions/machinery-tube-pricing,917th
/kevinjose,How decide if there is improvement in the model?,"Since, there are only 2 submissions per day, it would be great to have a way to assess if a new model is better than the last (without submission). AUC on training set is one metric I know of but it turned out that a model with 0.94 AUC performed worse than one with 0.85 AUC on submission. Another good metric seems to be Accuracy on training set but I am worried about over fitting too. Can a higher AUC suggest overfitting to training set, hence explaining the worse performance?",3,bronze,21,Fri Jul 17 2015 12:11:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15316,/competitions/15-071x-the-analytics-edge-summer-2015,1266th
/alexanderbotev,What software are we allowed to use ,"Hi, I'm being quite new to Kaggle and I've read on some of the ""rules"" of the competition and they included that you are not allowed to use any open source stuff except those under the Open Source Initiative-approved license. But I'm still missing what other software can we use. I see a lot of people using Python and R so I guess that's ok. How about Matlab, CUDA, MKL or other software which is proprietary?",0,None,9,Fri Jul 17 2015 13:02:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15317,/competitions/liberty-mutual-group-property-inspection-prediction,None
/pukkinming,EEG Pre-processing,"Hi all, As I am a new-comer to EEG signal processing, I was wondering whether you have any good reference of pre-processing EEG signal which is notoriously noisy. Let me start with a book I recently found: Analyzing Neural Time Series Data, by Mike X Cohen, published by MIT Press Any sharing here is deeply appreciated. Have a good day! Frank [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/85816/2743/9780262019873_0.jpg",1,None,1,Fri Jul 17 2015 15:11:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15318,/competitions/grasp-and-lift-eeg-detection,None
/jordangoblet,Validation issue,"Here is my methodology: I build a model on 3/4 of the training set and I apply it on the remaining 1/4. On this quarter, I measure the competition metric an I get more or less 0.85. Than, I apply the model on the test set and my metric on the leaderboard is equal to 0.64. Could someone explain me such a drop?",1,bronze,3,Fri Jul 17 2015 16:00:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15319,/competitions/icdm-2015-drawbridge-cross-device-connections,24th
/onodera,Area conversion,For all nonnative. if large_area_name = '関西' then large_area_name ='kansai'; if large_area_name = '関東' then large_area_name ='kanto'; if large_area_name = '九州・沖縄' then large_area_name ='kyusyu'; if large_area_name = '四国' then large_area_name ='shikoku'; if large_area_name = '中国' then large_area_name ='tyugoku'; if large_area_name = '東海' then large_area_name ='tokai'; if large_area_name = '東北' then large_area_name ='tohoku'; if large_area_name = '北海道' then large_area_name ='hokkaido'; if large_area_name = '北信越' then large_area_name ='hokushinetu'; if SMALL_AREA_NAME = 'キタ' then SMALL_AREA_NAME ='osaka_kita'; if SMALL_AREA_NAME = 'ミナミ他' then SMALL_AREA_NAME ='osaka_minami'; if SMALL_AREA_NAME = '愛知' then SMALL_AREA_NAME ='aichi'; if SMALL_AREA_NAME = '愛媛' then SMALL_AREA_NAME ='ehime'; if SMALL_AREA_NAME = '茨城' then SMALL_AREA_NAME ='ibaraki'; if SMALL_AREA_NAME = '横浜' then SMALL_AREA_NAME ='kanagawa_yokohama'; if SMALL_AREA_NAME = '岡山' then SMALL_AREA_NAME ='okayama'; if SMALL_AREA_NAME = '沖縄' then SMALL_AREA_NAME ='okinawa'; if SMALL_AREA_NAME = '岩手' then SMALL_AREA_NAME ='iwate'; if SMALL_AREA_NAME = '岐阜' then SMALL_AREA_NAME ='gihu'; if SMALL_AREA_NAME = '宮崎' then SMALL_AREA_NAME ='miyazaki'; if SMALL_AREA_NAME = '宮城' then SMALL_AREA_NAME ='miyagi'; if SMALL_AREA_NAME = '京都' then SMALL_AREA_NAME ='kyoto'; if SMALL_AREA_NAME = '銀座・新橋・東京・上野' then SMALL_AREA_NAME ='tokyo_ginza'; if SMALL_AREA_NAME = '熊本' then SMALL_AREA_NAME ='kumamoto'; if SMALL_AREA_NAME = '群馬' then SMALL_AREA_NAME ='gunma'; if SMALL_AREA_NAME = '恵比寿・目黒・品川' then SMALL_AREA_NAME ='tokyo_ebisu'; if SMALL_AREA_NAME = '広島' then SMALL_AREA_NAME ='hiroshima'; if SMALL_AREA_NAME = '香川' then SMALL_AREA_NAME ='kagawa'; if SMALL_AREA_NAME = '高知' then SMALL_AREA_NAME ='kouchi'; if SMALL_AREA_NAME = '佐賀' then SMALL_AREA_NAME ='saga'; if SMALL_AREA_NAME = '埼玉' then SMALL_AREA_NAME ='saitama'; if SMALL_AREA_NAME = '三重' then SMALL_AREA_NAME ='mie'; if SMALL_AREA_NAME = '山形' then SMALL_AREA_NAME ='yamagata'; if SMALL_AREA_NAME = '山口' then SMALL_AREA_NAME ='yamaguchi'; if SMALL_AREA_NAME = '山梨' then SMALL_AREA_NAME ='yamanashi'; if SMALL_AREA_NAME = '滋賀' then SMALL_AREA_NAME ='shiga'; if SMALL_AREA_NAME = '鹿児島' then SMALL_AREA_NAME ='kagoshima'; if SMALL_AREA_NAME = '秋田' then SMALL_AREA_NAME ='akita'; if SMALL_AREA_NAME = '渋谷・青山・自由が丘' then SMALL_AREA_NAME ='tokyo_shibuya'; if SMALL_AREA_NAME = '新潟' then SMALL_AREA_NAME ='niigata'; if SMALL_AREA_NAME = '新宿・高田馬場・中野・吉祥寺' then SMALL_AREA_NAME ='tokyo_shinjuku'; if SMALL_AREA_NAME = '青森' then SMALL_AREA_NAME ='aomori'; if SMALL_AREA_NAME = '静岡' then SMALL_AREA_NAME ='shizuoka'; if SMALL_AREA_NAME = '石川' then SMALL_AREA_NAME ='ishikawa'; if SMALL_AREA_NAME = '赤坂・六本木・麻布' then SMALL_AREA_NAME ='tokyo_akasaka'; if SMALL_AREA_NAME = '千葉' then SMALL_AREA_NAME ='chiba'; if SMALL_AREA_NAME = '川崎・湘南・箱根他' then SMALL_AREA_NAME ='kanagawa_kawasaki'; if SMALL_AREA_NAME = '大分' then SMALL_AREA_NAME ='ooita'; if SMALL_AREA_NAME = '池袋・神楽坂・赤羽' then SMALL_AREA_NAME ='tokyo_ikebukuro'; if SMALL_AREA_NAME = '長崎' then SMALL_AREA_NAME ='nagasaki'; if SMALL_AREA_NAME = '長野' then SMALL_AREA_NAME ='nagano'; if SMALL_AREA_NAME = '鳥取' then SMALL_AREA_NAME ='tottori'; if SMALL_AREA_NAME = '島根' then SMALL_AREA_NAME ='shimane'; if SMALL_AREA_NAME = '徳島' then SMALL_AREA_NAME ='tokushima'; if SMALL_AREA_NAME = '栃木' then SMALL_AREA_NAME ='tochigi'; if SMALL_AREA_NAME = '奈良' then SMALL_AREA_NAME ='nara'; if SMALL_AREA_NAME = '富山' then SMALL_AREA_NAME ='toyama'; if SMALL_AREA_NAME = '福井' then SMALL_AREA_NAME ='hukui'; if SMALL_AREA_NAME = '福岡' then SMALL_AREA_NAME ='hukuoka'; if SMALL_AREA_NAME = '福島' then SMALL_AREA_NAME ='hukushima'; if SMALL_AREA_NAME = '兵庫' then SMALL_AREA_NAME ='hyogo'; if SMALL_AREA_NAME = '北海道' then SMALL_AREA_NAME ='hokkaido'; if SMALL_AREA_NAME = '立川・町田・八王子他' then SMALL_AREA_NAME ='tokyo_tachikawa'; if SMALL_AREA_NAME = '和歌山' then SMALL_AREA_NAME ='wakayama'; if PREF_NAME = '愛知県' then PREF_NAME ='aichi'; if PREF_NAME = '愛媛県' then PREF_NAME ='ehime'; if PREF_NAME = '茨城県' then PREF_NAME ='ibaraki'; if PREF_NAME = '岡山県' then PREF_NAME ='okayama'; if PREF_NAME = '沖縄県' then PREF_NAME ='okinawa'; if PREF_NAME = '岩手県' then PREF_NAME ='iwate'; if PREF_NAME = '岐阜県' then PREF_NAME ='gihu'; if PREF_NAME = '宮崎県' then PREF_NAME ='miyazaki'; if PREF_NAME = '宮城県' then PREF_NAME ='miyagi'; if PREF_NAME = '京都府' then PREF_NAME ='kyoto'; if PREF_NAME = '熊本県' then PREF_NAME ='kumamoto'; if PREF_NAME = '群馬県' then PREF_NAME ='gunma'; if PREF_NAME = '広島県' then PREF_NAME ='hiroshima'; if PREF_NAME = '香川県' then PREF_NAME ='kagawa'; if PREF_NAME = '高知県' then PREF_NAME ='kouchi'; if PREF_NAME = '佐賀県' then PREF_NAME ='saga'; if PREF_NAME = '埼玉県' then PREF_NAME ='saitama'; if PREF_NAME = '三重県' then PREF_NAME ='mie'; if PREF_NAME = '山形県' then PREF_NAME ='yamagata'; if PREF_NAME = '山口県' then PREF_NAME ='yamaguchi'; if PREF_NAME = '山梨県' then PREF_NAME ='yamanashi'; if PREF_NAME = '滋賀県' then PREF_NAME ='shiga'; if PREF_NAME = '鹿児島県' then PREF_NAME ='kagoshima'; if PREF_NAME = '秋田県' then PREF_NAME ='akita'; if PREF_NAME = '新潟県' then PREF_NAME ='niigata'; if PREF_NAME = '神奈川県' then PREF_NAME ='kanagawa'; if PREF_NAME = '青森県' then PREF_NAME ='aomori'; if PREF_NAME = '静岡県' then PREF_NAME ='shizuoka'; if PREF_NAME = '石川県' then PREF_NAME ='ishikawa'; if PREF_NAME = '千葉県' then PREF_NAME ='chiba'; if PREF_NAME = '大阪府' then PREF_NAME ='osaka'; if PREF_NAME = '大分県' then PREF_NAME ='ooita'; if PREF_NAME = '長崎県' then PREF_NAME ='nagasaki'; if PREF_NAME = '長野県' then PREF_NAME ='nagano'; if PREF_NAME = '鳥取県' then PREF_NAME ='tottori'; if PREF_NAME = '島根県' then PREF_NAME ='shimane'; if PREF_NAME = '東京都' then PREF_NAME ='tokyo'; if PREF_NAME = '徳島県' then PREF_NAME ='tokushima'; if PREF_NAME = '栃木県' then PREF_NAME ='tochigi'; if PREF_NAME = '奈良県' then PREF_NAME ='nara'; if PREF_NAME = '富山県' then PREF_NAME ='toyama'; if PREF_NAME = '福井県' then PREF_NAME ='hukui'; if PREF_NAME = '福岡県' then PREF_NAME ='hukuoka'; if PREF_NAME = '福島県' then PREF_NAME ='hukushima'; if PREF_NAME = '兵庫県' then PREF_NAME ='hyogo'; if PREF_NAME = '北海道' then PREF_NAME ='hokkaido'; if PREF_NAME = '和歌山県' then PREF_NAME ='wakayama';,3,bronze,11,Fri Jul 17 2015 16:29:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15321,/competitions/coupon-purchase-prediction,14th
/jhpincus,Warning When Computing Distances for Hieerarchical Clustering,"I'm trying to perform hierarchical clustering on eBayTrain. I've removed the description, UniqueID, and sold variables, converted startprice to an integer, and all other variables to factors. When I try to compute distances using distances <- dist(eBayTrain, method = ""euclidean"")I get the following warning: Warning message: In dist(eBayTrain, method = ""euclidean"") : NAs introduced by coercion. Running is.na on distances returns 0. Can anyone suggest what is happening?",0,None,3,Fri Jul 17 2015 16:30:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15322,/competitions/15-071x-the-analytics-edge-summer-2015,25th
/del=936d03de11e6c373,Diagram of Electrode Channels,"I have two questions about the diagram of electrode channels ( [Link]:https://www.kaggle.com/c/grasp-and-lift-eeg-detection/data). First, what is the difference between dark nodes and white nodes ? Second, are the given data intended to not include all channels ?",1,None,4,Fri Jul 17 2015 18:01:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15325,/competitions/grasp-and-lift-eeg-detection,227th
/inversion,Vote Count on Profile > Forum > Recent Posts?,It would be slightly useful to see the vote count on the (individual) Recent Posts of a User's Profile Forum tab.,2,bronze,7,Fri Jul 17 2015 18:27:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15326,None,None
/popwin,"How to fix the ""Memory Error""?","When I tried to map the ""Address"" feature to dummy variables using sklearn.LabelBinarzer, I met this problem. And then I changed to use sparse matrix to fix it ,however when the sparse matrix change to dense matrix , the ""Memory Error "" appeared again. How can i reduce dimension of ""Address""",0,None,2,Sat Jul 18 2015 03:46:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15333,/competitions/sf-crime,529th
/skarthikeyan,Find mispriced items,"Hi, I work in an e-commerce provider. We get product data from different vendors. We have 4 columns/metrics for each product like quality, color, finish, weight. Our vendors do give wrong pricing(priced higher or lower) by mistake and when a customer wants to buy that product, we get to know this when we let the vendor know about the purchase. Is there any way to find the products that're priced wrongly by comparing them to other products of the same quality using the 4 metrics. The product data is input into the system every 2 hours and it contains around 300,000 or so products. Can I use k-means clustering by manually setting the k centroid products and then finding the products with the highest standard deviation within each of those clusters? Is there any other approach like linear regression or curve fitting where I assign different weights to each of the above metrics and see if the pricing is linear?",0,None,2,Sat Jul 18 2015 07:28:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15334,None,None
/ronspartan,error in submission!,"I have created a model using Lasso regression.When i submit the csv,an error ,displayed in the uploaded image, occurs. I found out that the column of the probabilities has a title = ""s0"",which wasn't replaced by ""Probability""1 on using the ""Mysubmission"" command. any explanation and fix would be appreciated. thank you. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/85909/2744/Untitled4.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/85909/2745/Untitled2.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/85909/2746/Untitled.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/85909/2747/Untitled3.jpg",0,None,1,Sat Jul 18 2015 07:32:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15335,/competitions/15-071x-the-analytics-edge-summer-2015,449th
/fgrideau,submitting,"how many submission do we have per day ? on the EDX site, it says 5, but it looks like its only 2 per day ? what is the link of the page to submit on Kaggle ?",0,None,2,Sat Jul 18 2015 12:04:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15337,/competitions/15-071x-the-analytics-edge-summer-2015,275th
/hphpnbo,USABLE_DATE_XXX question,In 'coupon_list_train.csv' what do the values for the USABLE_DATE fields mean? For example: USABLE_DATE_TUE = 0 USABLE_DATE_MON = 1 USABLE_DATE_FRI = 2 Thanks.,10,silver,7,Sat Jul 18 2015 12:32:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15338,/competitions/coupon-purchase-prediction,49th
/alistairwalsh,wget to download data,"I am using wget to download the competition data to a cloud instance. The command I am using is: wget -x --load-cookies kaggle_cookies.txt -P data -nH --cut-dirs=5 https://www.kaggle.com/c/grasp-and-lift-eeg-detection/download/train.zip copy The kaggle_cookies file contains my browser cookies from the kaggle site. This works, as in it downloads a file, but the file is 14K and obviously not the file I'm after. Can someone spot what I'm doing wrong?",0,None,1,Sat Jul 18 2015 14:31:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15339,None,None
/prakashanand,Unable to load pandas ,Attached is the screen shot for not working pandas in kaggle scripts. Please help. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/85947/2748/Capture1.PNG,0,None,1,Sat Jul 18 2015 17:24:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15340,/competitions/coupon-purchase-prediction,None
/glimmung,Decoy data,Are there any decoy data in the data sets? E.g. HandStart marked when it was not,0,None,1,Sat Jul 18 2015 18:44:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15341,/competitions/grasp-and-lift-eeg-detection,None
/alexeygruzdev,user_list.csv spans the dates,"In the description: ""The training set spans the dates 2011-07-01 to 2012-06-23. The test set spans the week after the end of the training set, 2012-06-24 to 2012-06-30. "" Actually: "" The set spans the dates 2010-07-21 to 2012-06-30"". I have found 4201 users with year = 2010.",-1,None,2,Sat Jul 18 2015 19:26:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15342,/competitions/coupon-purchase-prediction,968th
/cavaunpeu,I have a feeling ..,"I have a feeling there will be a big shakeup when private LB results are released. I believe this because: There was a big shakeup in the last Liberty contest, which offered a similar dataset/target/metric. My best local CV score is .390977. My local scores have roughly correlated with my public LB scores. .390977 would put me in 2nd place. I'm currently in 278th. When taking 1000 random 30% samples of my ensemble OOF predictions (from those that land me .390977 locally) and computing a normalized gini on each, I get the following distribution: [Image]:http://i.imgur.com/VpY6wEd.png The mean of this sample is 0.390606. The standard deviation is 0.006947. If we equate this mean with my local score on 100% of the data (.390977), and the corresponding public LB score as a draw from our distribution (in other words, assume that normalized_gini(lb_predictions, y_lb) = normalized_gini(oof_predictions, y_train)), we find that the public LB score is 1.18 standard deviations below the mean. The z-table tells us that if we were to take another random 30% draw of our data (another draw from our distribution), there is a 88.1% chance that my public LB score would be larger than it is (88.1% of the data in the distribution is to the right of -1.18 sd's from the mean). If my stats are off, kindly do correct me. Thoughts? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/85960/2749/gini_cv.png",4,bronze,6,Sat Jul 18 2015 20:09:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15343,/competitions/liberty-mutual-group-property-inspection-prediction,812th
/jimenezluna,Gower distance of train/test coupons,"Hi guys. This doesn't improve the best available script there is, but at least it may give a couple new ideas on how to tackle this problem. Have a great day.",0,None,2,Sat Jul 18 2015 20:14:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15344,None,None
/vikasrtr,Histogram of all Fields,Histogram plots of all variables. PS: Categorical variables were encoded by pandas.factorize.,2,bronze,4,Sat Jul 18 2015 21:07:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15345,None,None
/schchen2000,sha512sum file signature,Is there a way we could get the sha512sum file signatures for all downloaded files from the admin? Thanks.,0,None,2,Sat Jul 18 2015 21:49:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15346,/competitions/diabetic-retinopathy-detection,None
/phanisrikanth,Best single model score?,What's your best single model score? We could push ourselves a little more if the leaders throw some light on their score :-),0,None,13,Sat Jul 18 2015 22:36:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15347,/competitions/avito-context-ad-clicks,54th
/hansglick,Semi Supervised Learning ,"Hi everybody, it seems that a semi supervised method is supposed to get better results. Although, I don't get how to deal with such a method in this problem. Thks in Advance.",1,bronze,1,Sun Jul 19 2015 00:07:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15348,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/gabylp,unbalanced classes,I think it would be a good idea to balance classes or to introduce some kind of cost matrix. How are you working with this?,0,None,3,Sun Jul 19 2015 02:51:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15350,/competitions/sf-crime,None
/thirdfloor,Creative variable with specific words,"After reviewing the frequent terms in description, I would like to create a variable of specific terms that appear regularly. How do I go about extracting those terms from the dtm?",0,None,22,Sun Jul 19 2015 04:07:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15351,/competitions/15-071x-the-analytics-edge-summer-2015,1025th
/stunuguntla,specs and material id,Can anyone explain what specs mean? And how are the values in the spec.csv and the material_id in tube.csv related?,0,None,2,Sun Jul 19 2015 04:17:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15352,/competitions/machinery-tube-pricing,None
/pandan,A more advanced take on CART: boosting,"Boosting is the process of creating many weak learners that help each other out to get good results. So imagine creating a bunch of CART models with only 1 or 2 nodes. On their own, they have very little predictive power. But when you build, say, 100 of those trees that build on top of each other, you get a very powerful model. Boosting is one of the most powerful algorithms we have right now. In R, you can use the gbm or the xgboost package. The xgboost package takes more time to set up, but it performs MUCH faster with little difference in results. I highly recommend using xgboost instead of gbm. The two main tuning parameters are the the max.depth (the number of leaves, or the number of nodes + 1) and nrounds (the number of trees). You can find the optimal parameters using cross validation.",3,bronze,13,Sun Jul 19 2015 04:32:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15353,/competitions/15-071x-the-analytics-edge-summer-2015,107th
/jiweiliu,I trust LB to the last digit,Am I wrong? :P,1,bronze,7,Sun Jul 19 2015 04:32:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15354,/competitions/avito-context-ad-clicks,51st
/fgrideau,Random Forest,"when running Random Forest, i almost always get this warning 2: In randomForest.default(m, y, …) : The response has five or fewer unique values. Are you sure you want to do regression? why ? and is it a problem ? so far, my randomForest models perform always slightly less than a stupid Logistic Regression. or CART associated with cross-validation.",0,None,15,Sun Jul 19 2015 05:18:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15355,/competitions/15-071x-the-analytics-edge-summer-2015,275th
/stephenvoreilly,"Stop words and Punctuation not working in ""Dealing with the text data""","Any help appreciated. Two questions at the very end. I saw a similar post about this (I'm on a mac), but unlike them, I'm not getting an error. After copying and pasting the scripts, I am inspecting the $content of the first occurrance and it is not pulling out the stop words or punctuation for only the first observation or 10 obs. (i.e. appears to be working correctly for observation 2-10). I had no issues like this in the homework. e.g. the original phrase is: enter code here copy CorpusDescription = Corpus(VectorSource(c(eBayTrain$description, eBayTest$description))) CorpusDescription = tm_map(CorpusDescription, content_transformer(tolower), lazy=TRUE) eBayTrain$description[1] [1] ""iPad is in 8.5+ out of 10 cosmetic condition!"" CorpusDescription[[1]]$content [1] ""ipad is in 8.5+ out of 10 cosmetic condition!"" (side note: lower worked even without PlainTextDocument) CorpusDescription = tm_map(CorpusDescription, PlainTextDocument, lazy=TRUE) CorpusDescription = tm_map(CorpusDescription, removePunctuation, lazy=TRUE) CorpusDescription[[1]]$content [1] ""ipad is in 8.5+ out of 10 cosmetic condition!"" (Note: punctuation did NOT work) CorpusDescription = tm_map(CorpusDescription, removeWords, stopwords(""english""), lazy=TRUE) CorpusDescription = tm_map(CorpusDescription, stemDocument, lazy=TRUE) CorpusDescription[[1]]$content [1] ""ipad is in 8.5+ out of 10 cosmetic condition!"" (Note stop words didn't work because ""is, in, out, of"" are still there. But check this out, it worked for the second observation): CorpusDescription[[2]]$content [1] ""previous used pleas read description may show sign use scratch screen "" eBayTrain$description[2] [1] ""Previously used, please read description. May show signs of use such as scratches to the screen and "" I don't want to proceed until I am sure I'm preprocessing all observations correctly. Any idea what's going on here? Also ""CorpusDescription[[#]]$content"" is only showing the preprocessed Training set data. How do I see the Test set inside CorpusDescription - it's the second column in its vector, right?",1,None,4,Sun Jul 19 2015 06:24:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15356,/competitions/15-071x-the-analytics-edge-summer-2015,441st
/benrolls,Public test set size,"Since the public leaderboard only uses 30% of the test set, that means the submissions are scored on 9070 instances. This is really not that large. This comp will likely have very different standings on the private leaderboard than on the public. It's easy to overfit to a test set of this size. As a comparison, the standard deviation of my internal CV score using 5 folds on the training data is .0058.",1,bronze,2,Sun Jul 19 2015 06:35:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15357,/competitions/machinery-tube-pricing,4th
/psdhillon,a R command without error but no affect on data,"Please check & let me know, if i am doing something wrong by below command. As it does not show any error, but the required change is not happening in data. please assist data$cellular[data$carrier==""AT&T"" & data$cellular==""NA""]<-1",0,None,5,Sun Jul 19 2015 08:11:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15358,/competitions/15-071x-the-analytics-edge-summer-2015,1464th
/msinquisitive,Help needed with a Tim Ferriss Style Experiment,"Out of the box genius, with Actuarial and data science capabilities needed to assist in disrupting the status quo and help a disruptor with completing the 5 year actuarial examination process within months. The process will entail dissecting the examination process, determining the necessary skills needed to pass the various exam papers, coaching a highly intelligent, motivated and passionate entrepreneur to short circuit the process and achieve this massive feat within months. Please reply to this forum or contact [Link]:mailto:msinquisitive2@gmail.com and let me know if you are up to the challenge.",-3,None,1,Sun Jul 19 2015 10:22:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15359,None,None
/realtwo,Handling big data ,"I always encounter memory warnings when loading id_all_ip.csv all into memory. I am thinking an alternative to read the file sequentially and build a new training data file, but this would incur a lot of disk IOs. Are there any better ways to handle this big data?",0,None,9,Sun Jul 19 2015 10:24:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15360,/competitions/icdm-2015-drawbridge-cross-device-connections,275th
/smoranza,Gap between self-estimated and Kaggle-generated AUC?,"So… I am trying to estimate what my Kaggle leaderboard AUC will be (before submission) by regenerating my testing data and calculating AUC repeatedly while keeping the same model. The model is based on 70% of the original training set. I have made 4 submissions and the Kaggle AUC is consistently about 0.04 lower? I understand that Kaggle only uses half of the test set (the one in it's own file originally), but I assume this is selected randomly? Has anyone else seen this effect? Is this simply due to nonrandom differences between the data in the test and training set files?",0,None,3,Sun Jul 19 2015 13:06:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15361,/competitions/15-071x-the-analytics-edge-summer-2015,6th
/varoon,Text Analytics  + RandomForest - Predict error,"I am using the words from description along with other variable for building the tree model. I created a training and validation set for which model predicts an auc. When I predict on the test set, i get this error Error in z[keep, ] <- out.class.votes : NAs are not allowed in subscripted assignments The structure of the test and validation set are the same and i am stuck why the predict function does not work on the test set.",0,None,13,Sun Jul 19 2015 14:52:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15363,/competitions/15-071x-the-analytics-edge-summer-2015,85th
/gkhatwani,Regarding plotting data on map with zipcode and state,"Hi All, How can we plot the data on map if we have only following information about location (i.e. we don't have latitude and longitude). State | NumMeasurements CA | 60528 FL | 39381 TX | 29817 NY | 27974 GA | 17705 NJ | 16588 The output should look like: [Link]:http://ibin.co/29AyrIRjWweR Example for plotting data on map with latitude and longitude: [Link]:https://www.kaggle.com/dchudz/predict-west-nile-virus/where-are-the-measurement-points/code Regards, Gaurav",0,None,1,Sun Jul 19 2015 15:25:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15365,None,None
/gkhatwani,"Regarding plotting data on map with ""state"" ","Hi All, How can we plot the data on map if we have only following information about location (i.e. we don't have latitude and longitude). State | NumMeasurements CA | 60528 FL | 39381 TX | 29817 NY | 27974 GA | 17705 NJ | 16588 The output should look like: [Link]:http://ibin.co/29AyrIRjWweR Example for plotting data on map with latitude and longitude: [Link]:https://www.kaggle.com/dchudz/predict-west-nile-virus/where-are-the-measurement-points/code Regards, Gaurav",0,None,2,Sun Jul 19 2015 16:26:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15366,/competitions/machinery-tube-pricing,None
/leustagos,Proper validation set,"Guys, I see many people struggling to get a good validation set so I decided to help: Take the minimum date that occurs in the test set (May 12?). Take all LAST sessions for each user that happens after that date (or sample it). The last session is the one with highest date for each user. This problem has a time component, so sampling from other periods of time won't do, since it is expected that ads change over time. Randomly sampling wont do, since it will get a bigger proportion of users that has many sessions. If we take anything but the last (or n last) sessions from user we will leave the user future in the training set, so cv wont match because of overfit. Bottom line: In the data page it says that they take the last session for each user that happens after may 12. So we just need to do the same (as close as it gets)! Happy validation!",14,gold,6,Sun Jul 19 2015 16:40:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15367,/competitions/avito-context-ad-clicks,3rd
/springcoil,Averaging and stacking models,I tried some simple averaging models and got much worse results. Does anyone have any suggestions.,1,bronze,2,Sun Jul 19 2015 17:51:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15368,/competitions/machinery-tube-pricing,446th
/matteopresutto,Test labels after deadline,"Since every entry needs to be evaluated, I assume you Kaggle Guys have the actual test labels in your hands. Will it be possible to access them after the deadline?",4,bronze,1,Sun Jul 19 2015 21:47:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15370,/competitions/diabetic-retinopathy-detection,193rd
/gjcnyc,Converting to Factors,"I have a question with respect to what the best approach might be to handling the fact there is only 1 Ipad 5 in the Training set. As a result when I convert everything to factors and split the training set into a test and training set I receive am faced with the following error when I run predictions on a linear regression model -- Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor productline has new levels iPad 5 The one iPad5 is in the training set but there are 0 in the test set.",0,None,14,Sun Jul 19 2015 23:07:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15371,/competitions/15-071x-the-analytics-edge-summer-2015,93rd
/davutpolat,Single Best Model Score,"Hi Guys! what is ur best LB score with single model ? i got 0.3907 on local CV (5 Stratified fold, tried with many different seeds) and got 0.3865 on LB, is there anyone above 0.3890 got this score with single model ? Regards Davut",0,None,3,Mon Jul 20 2015 00:03:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15372,/competitions/liberty-mutual-group-property-inspection-prediction,12th
/raencinas,Bad sensitivity for non biddables,"I have a very good score with 0.85513. But my predictions for the non biddables items have a very low sensitivity, or true positive rate. I divided eBayTrain into two datasets for cross validation. So, I train my model in 70% of the training data and test it in 30%. After predicting in this test set, I look for the accuracy of the model with: table(testcv$sold[which(testcv$biddable == 1)], predTestcv[which(testcv$biddable == 1)] >= 0.5) table(testcv$sold[which(testcv$biddable == 0)], predTestcv[which(testcv$biddable == 0)] >= 0.5) copy With this second table, I have only 3 True Positives and 62 False Positives. The specificity is very high, so the model is predicting that almost none of the non biddables items will be sold. Any idea on how to improve the sensitivity for non biddables?",0,None,11,Mon Jul 20 2015 03:07:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15373,/competitions/15-071x-the-analytics-edge-summer-2015,88th
/rhinodaveb,*SearchStream identifier,"Hi Everyone, Could someone confirm that trainSearchStream.tsv does not have a unique identifier column? In contrast, it appears testSearchStream.tsv has an extra 'ID' column. Is this correct or did I mess something up?",0,None,2,Mon Jul 20 2015 03:28:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15374,/competitions/avito-context-ad-clicks,99th
/vishallala,Support Vector Machines,"I gave SVM a go. You can read more abotu it in Intro to Statistical Learning (by Robert Tibshirani and Trevor Hastie, and others) which is available as a free pdf. SVM Radial ended up overfitting the train sample and totally failing on the test sample. SVM Linear got me a 0.82 on the test. So, I haven't found anything there either. Thanks.",0,None,4,Mon Jul 20 2015 04:46:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15375,/competitions/15-071x-the-analytics-edge-summer-2015,1416th
/preritsaxena,Error,Is anybody getting an error while using predict function on Test data set after creating the model on Train data set ?,1,None,3,Mon Jul 20 2015 11:36:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15377,/competitions/15-071x-the-analytics-edge-summer-2015,1019th
/tifaccio,yo dawg i heard you like tubes...,"…so they put tubes in your tubes for 106 assemblies in the train set and 137 assemblies in the test set, there are tubes in the bill of materials. The people who created this challenge had a lot of fun digging potholes on the road to success",2,bronze,1,Mon Jul 20 2015 13:00:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15379,/competitions/machinery-tube-pricing,1263rd
/oliveola2015,Random Forest Prediction Error,"Could someone explain why am having this error when i want to predict using random forest. Thanks ebayRFPredict<- predict(ebayRandom, newdata=DescriptionWordsTest, type = ""prob"" )[,2] Error in predict.randomForest(ebayRandom, newdata = DescriptionWordsTest, : 'prob' or 'vote' not meaningful for regression",0,None,1,Mon Jul 20 2015 14:29:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15380,/competitions/15-071x-the-analytics-edge-summer-2015,1832nd
/sadaranga,test set auc greater than training set,"Hi, I split the training data into a train and test data (0.7 ration) and performed a CV with k=10. I got an AUC for test data greater than training data ? does this mean overfitting ? Thanks, Sada",0,None,2,Mon Jul 20 2015 14:55:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15381,/competitions/15-071x-the-analytics-edge-summer-2015,1014th
/chanoli,randomForest Error,"Error in predict.randomForest(eBayRF, newdata = Test, type = ""response"") : Type of predictors in new data do not match that of the training data. I got this error. Can you help me solve this problem?",0,None,13,Mon Jul 20 2015 15:28:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15383,/competitions/15-071x-the-analytics-edge-summer-2015,998th
/abhishekanalytics,Dependent Variable not available,"Hello All, I have started to analyse ebay ipad probability how can we make models if dependent variable is not available in csv file.",0,None,4,Mon Jul 20 2015 16:58:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15384,/competitions/15-071x-the-analytics-edge-summer-2015,268th
/del=66b487b5ec8ae8ed,Only for newbies,"I know that the range of competence among the participants is really huge, from masters to totally newbies. I am in the group of newbies, although I participated in the previous competition of this course (it was my first course on data science). After that experience I wrote few lines about the lessons learned. If you are newbie like me, maybe, they can be useful: [Link]:https://medium.com/@tomlabs/lessons-learned-from-my-first-kaggle-competition-4c3a4ea421c1",7,bronze,19,Mon Jul 20 2015 17:04:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15385,/competitions/15-071x-the-analytics-edge-summer-2015,675th
/amosang,Has anyone tried Model Stacking?,"There was some mention in the lectures about model stacking being useful. I understand this to be some form of ensemble technique, of which RandomForest is one, and generally used for classification problems because of their high accuracy. However, I'm clueless about how to stack different models, especially very different models (eg: linear regression and CART…just for example). In particular, how does one assign weights to the output from each model? How does one even know which model is better? Any experienced Kagglers able to give some tips on how to start please?",0,None,2,Mon Jul 20 2015 17:38:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15386,/competitions/15-071x-the-analytics-edge-summer-2015,1526th
/abhishekanalytics,You have 2 entries today,"I have tried to submit solution three time, I did not get any message, on dash board it just shows ""You have 2 entries today"". I am not sure my solution has been submitted or not.",1,bronze,1,Mon Jul 20 2015 18:14:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15387,/competitions/15-071x-the-analytics-edge-summer-2015,268th
/annavictoria,7 hrs til 1st submission deadline,"Just a quick reminder that the first submission deadline is in ~7 hrs! Be sure to make a submission before the deadline or you will not be able to enter this competition. All participants, best of luck in the final week!",0,None,7,Mon Jul 20 2015 18:48:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15388,/competitions/diabetic-retinopathy-detection,None
/dvirnaim,RF model issues,"Hi, I receive this error message, when trying to use the RF model on the test set: ""Error in predict.randomForest(RFmodel, newdata = eBayTest, type = ""prob"") : Type of predictors in new data do not match that of the training data."" these are my dataframes, after I did some work on them: Train: 'data.frame': 1861 obs. of 11 variables: $ description: chr $ biddable : int 0 1 0 0 0 1 1 0 1 1 … $ startprice : num 159.99 0.99 199.99 235 199.99 … $ condition : Factor w/ 6 levels ""For parts or not working"",..: 6 6 6 4 5 6 3 3 6 6 … $ cellular : Factor w/ 3 levels ""0"",""1"",""Unknown"": 1 2 1 1 3 2 1 1 2 1 … $ carrier : Factor w/ 7 levels ""AT&T"",""None"",..: 2 7 2 2 6 1 2 2 6 2 … $ color : Factor w/ 5 levels ""Black"",""Gold"",..: 1 4 5 4 4 3 3 5 5 5 … $ storage : num 16 16 16 16 34.2 … $ productline: Factor w/ 12 levels ""iPad 1"",""iPad 2"",..: 2 2 4 9 12 9 8 10 1 4 … $ sold : Factor w/ 2 levels ""0"",""1"": 1 2 2 1 1 2 2 1 2 2 … $ UniqueID : int 10001 10002 10003 10004 10005 10006 10007 10008 10009 10010 Test: 'data.frame': 798 obs. of 10 variables: $ description: chr $ biddable : int 0 0 0 1 0 0 0 0 0 1 … $ startprice : num 105 195 220 100 211 … $ condition : Factor w/ 6 levels ""For parts or not working"",..: 6 6 6 6 2 4 5 6 6 6 … $ cellular : Factor w/ 3 levels ""0"",""1"",""Unknown"": 2 1 1 1 1 1 1 1 1 1 … $ carrier : Factor w/ 7 levels ""AT&T"",""None"",..: 1 2 2 2 2 2 2 2 2 2 … $ color : Factor w/ 5 levels ""Black"",""Gold"",..: 4 4 4 4 1 2 1 4 1 4 … $ storage : num 32 16 64 16 32 64 32 16 16 32 … $ productline: Factor w/ 10 levels ""iPad 1"",""iPad 2"",..: 1 8 3 7 3 6 1 4 3 1 … $ UniqueID : int 11862 11863 11864 11865 11866 11867 11868 11869 11870 11871 … What is wrong? I see that the productline variable has 12 levels in the train, and only 10 in the test data. but other than that they seem to be identical…. so, what am I doing wrong? Thanks, Dvir",0,None,9,Mon Jul 20 2015 20:58:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15390,/competitions/15-071x-the-analytics-edge-summer-2015,489th
/joelprince25,Aren't we allowed 5 submissions per day?,,1,None,1,Mon Jul 20 2015 20:58:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15391,/competitions/15-071x-the-analytics-edge-summer-2015,1350th
/abreu0101,Doubt Operandus,"I have some doubts: Here most people use for instance SKLearn (having the same libraries), which makes it different to be in the top position? One needs, invent your own method?",0,None,2,Mon Jul 20 2015 21:58:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15392,None,None
/natethomp,Hazard - Factor or Numeric?,"I am a bit confused about the response variable on this, and the results that are on the leaderboard. My model is currently on the LB with a score of .378, and this is with treating Hazard like its a numeric value. What confuses me is that when I look at my training set and predicted values, they are far off of each other. With record one of the training set, Hazard has a value of 1 but my predicted value comes out around 2.5. Looking at the first five records, most of my predicted values are nearly 2-4 values higher than the actual Hazard value. This would not lead me to think that I would get a score as high as .378. I first built a random forest model that treated Hazard like a factor, and my training predicted values came out very good, but submitting this model gave a LB score of .02 or something. Can anyone explain what I am seeing?",1,bronze,3,Mon Jul 20 2015 22:17:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15393,/competitions/liberty-mutual-group-property-inspection-prediction,1011th
/richardnam,Sample submission ,Question about the sample submission. Is the 'ID' feature in the sample submission file the 'ID' variable in the testSearchStream or the UserID variable?,0,None,2,Mon Jul 20 2015 23:22:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15394,/competitions/avito-context-ad-clicks,363rd
/xiaozhouwang,Anyone care to team up?,Edit: Got a great team!,1,bronze,5,Tue Jul 21 2015 00:26:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15395,/competitions/icdm-2015-drawbridge-cross-device-connections,12th
/anaderi,Welcome!,"Welcome to the Flavours of Physics Challenge! We expect this competition to be not very straightforward since we adapted metric from real physics analyses at LHC to bridge the gap between the Physics and the ML communities. Please read the challenge documentation (including extensive [Link]:https://kaggle2.blob.core.windows.net/competitions/kaggle/4488/media/lhcb_description_official.pdf) carefully. We hope you will find this competition enjoyable and rewarding, and in the end your joint efforts will help finding solutions that will open the door to the New Physics. Feel free to contact us in case of trouble. Good luck! Andrey, Tatiana, Marcin, Marc-Olivier, Francesco, Thomas, Pavel, Evgeny, Alexey",10,silver,8,Tue Jul 21 2015 01:03:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15396,/competitions/flavours-of-physics,None
/inversion,Scikit-Learn One-hot-encode before or after train/test split,"Someone posted a question that really had me stumped. I'm sharing my answer, since it could be a gotcha for others. [Link]:http://stackoverflow.com/questions/31506987/scikit-learn-one-hot-encode-before-or-after-train-test-split/",19,gold,1,Tue Jul 21 2015 01:53:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15397,/competitions/liberty-mutual-group-property-inspection-prediction,54th
/prokopevaleksei,"dictionary of ""AdsInfo"" and ""SearchInfo"" parameters","I would like to get this dictionary, but the naive solution updating it row-by-row from the datasets with ast.literal_evas get confused by entries like {251:'cee'd'}. However I've realized that char-by-char filtering to avoid that isn't the best for such large dataset. Can someone came out with the better solution or to provide already parsed dictionary? Thank you for your time.",0,None,4,Tue Jul 21 2015 02:34:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15398,/competitions/avito-context-ad-clicks,352nd
/soccent,Foreign function,"For my efforts at running a cluster and also for trying to run a random forest model, I have gotten error messages to the effect : NA/NaN/Inf in foreign function call (arg 1) I thought the problem might be that I had failed to load a necessary package, but when I loaded them again, I continued to get the message. I would appreciate any advice. Thanks.",0,None,1,Tue Jul 21 2015 03:18:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15399,/competitions/15-071x-the-analytics-edge-summer-2015,357th
/woshialex,huge gap between top 1 and the rest!,"nice work ""dance with ensemble""!",0,None,11,Tue Jul 21 2015 04:40:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15401,/competitions/machinery-tube-pricing,5th
/deepcnn,Are scripts going to be enabled?,"Dear Kaggle admins, just like most recent competitions, the dataset and runtime seem to be manageable for scripts. So, are they going to be enabled soon?",1,bronze,3,Tue Jul 21 2015 07:28:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15402,/competitions/flavours-of-physics,89th
/ampaho,Acute immigration drop after 9/11,"After a surge in immigration in 2000, there was a sharp drop in immigration to the US in 2001 and 2002. Tighter immigration regulations at the Mexican border or post 9/11 screenings?",0,None,2,Tue Jul 21 2015 07:58:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15403,None,None
/tobycheese,Translate capsule text and genre name,"Here is a script to translate capsule text and genre name from japanese to english, by using the provided excel file in the documentation/ folder. It is not yet running here since the documentation/ folder is not available on Kaggle Scripts. I hope the admins add it soon.",0,None,6,Tue Jul 21 2015 09:56:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15404,None,None
/tobycheese,To the admins: Please add the documentation/ folder to Kaggle Scripts,"Topic says it, thanks.",1,bronze,2,Tue Jul 21 2015 09:58:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15405,/competitions/coupon-purchase-prediction,442nd
/amirbehzad,How to avoid overfitting when making models?,"Hi, In the Kaggle compettion, the models are tested againsed 50% of test data. How do you know if your model is not overfitted, and will perform well on the rest of test data?",0,None,2,Tue Jul 21 2015 10:34:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15406,/competitions/15-071x-the-analytics-edge-summer-2015,57th
/kiranjukanti,independent variables ,how many independent variables should we consider ? do we have to consider only the start price or do we need to consider few more ? how can text analytics help in logistic regression ?,0,None,2,Tue Jul 21 2015 10:36:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15407,/competitions/15-071x-the-analytics-edge-summer-2015,1399th
/nikeshbajaj,Let's try own scripts,"Unlike other competitions, I think script sharing is not allowed for this. This gives good opportunity to try to write script from scratch ;) . Yeah it will take bit more time but will be more fun with learning. I hope everybody here is to learn 'how machine learns'",0,None,2,Tue Jul 21 2015 12:18:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15408,/competitions/flavours-of-physics,207th
/tuando9627,The threhold,Does anyone know which threhold Kaggle uses in the logistics regression?,0,None,2,Tue Jul 21 2015 12:34:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15409,/competitions/15-071x-the-analytics-edge-summer-2015,1732nd
/gaelbernard,Referrer_hash,"Dear Kaggle Community, I cannot figure what is the meaning of the column ""REFERRER_hash"" and ""PAGE_SERIAL"" (file coupon_visit_train.csv). Does someone has an idea? Thanks",4,bronze,10,Tue Jul 21 2015 13:16:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15410,/competitions/coupon-purchase-prediction,None
/timmcq,"Help with error message:  ""factor description has new levels""","When I run my logistic regression model on eBayTest to prepare my submission file, I get the following error (I've truncated the list b/c it was very long): Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor description has new levels """"Buy in Confidence I'm serious person"""" like New,sell because not used come with Original Box and , 'Grade B' Refurbished Product w/ 30 Day Warranty - May Contain Scuffs, Dings, Dents, and/or other…. Can someone point me in the right direction to fixing this error? Thanks!",0,None,12,Tue Jul 21 2015 13:20:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15411,/competitions/15-071x-the-analytics-edge-summer-2015,584th
/qwlouse,Announcement: Error in dataset,"Hi all, In reviewing the competition dataset, we have discovered a preparation bug that unfortunately affects all event labels (both in training and testing). We therefore must swap the data with a corrected version and invalidate all previous submissions on the leaderboard. Once the new data is live, please download the new files and resubmit your submissions. We are very sorry for this inconvenience are both grateful and impressed with your work so far. As an attempt to make up for the lost time, we will be increasing the daily submission limit to 4/day. Keep up the good work! Best Regards, The WAY Project Team",4,bronze,24,Tue Jul 21 2015 14:11:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15413,/competitions/grasp-and-lift-eeg-detection,None
/alexandrudaia,Specs- influencial or not,"I have added specs-1:5 or 1:4 (the other specs I consider to be trash) in both R -random forest- gbm-xgb and Python-xgboost.I found that the information from specs is captured with non trivial influence but on RMSE evaluation on the train and LB board is doing worse,so this thing is giving me headaches.Anyone observed this?",2,bronze,8,Tue Jul 21 2015 15:12:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15414,/competitions/machinery-tube-pricing,183rd
/natethomp,Local CV Gini,Can someone give me an example of their code that you are using to calculate your local CV gini? It would be greatly appreciated. Thanks.,0,None,9,Tue Jul 21 2015 15:23:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15415,/competitions/liberty-mutual-group-property-inspection-prediction,1011th
/carloshuertas,Can not download CSV from scripts,"As clear as title, I just can't, ""Failed - No File"" error, did something change?",0,None,5,Tue Jul 21 2015 18:23:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15418,None,None
/domcastro,"Python Help, please","I'm trying to write out Alex's features to file as I'm more comfortable using R. [Link]:https://www.kaggle.com/domcastro/grasp-and-lift-eeg-detection/write-the-features-to-file I can't get it to work as I get stuck on the arrays/matrix/frames. I tried hstack, append and now converted to data frame but still can't get it to work. Can anyone help out? ta",1,None,5,Tue Jul 21 2015 19:06:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15420,/competitions/grasp-and-lift-eeg-detection,7th
/inversion,I guess the organizers can spell Flavor any way they want,Not that it triggers my OCD or anything like that.,1,None,12,Tue Jul 21 2015 20:11:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15421,/competitions/flavours-of-physics,None
/annavictoria,Flavour of Physics Video Tutorial,"We've just added a competition video tutorial starring researchers at CERN, Yandex, & the LCHb. They answer some of your most burning questions and share how the competition results will be used in their own work. You can find the video on the [Link]:https://www.kaggle.com/c/flavours-of-physics or on our [Link]:https://vimeo.com/134110342. Thanks to Andrey, Francesco, Marcin, and Marco for getting in front of the camera to help us tackle this complex challenge. If you have any questions after watching, feel free to post them here! (EDIT: Screenshot removed to avoid confusion :)",10,gold,3,Tue Jul 21 2015 21:11:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15422,/competitions/flavours-of-physics,None
/abhishek,Bug in LB Ranking,[Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/86368/2757/Selection_180.png,-2,None,2,Tue Jul 21 2015 21:26:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15423,None,None
/schchen2000,"Post Submission,....","Hi, I'm transitioning into Data Science at the moment. I'm still in the process of learning what I need to know in this field. This topic is of a great interest to me and I would like to work on this on my own but not for submission. 1) Would you still keep everything (i.e. problem statement, data sets, threads in forum & names of those in the leader board) related to this Diabetic Retinopathy Detection in archive? 2) If I need help, who in the leader board should I contact if that's even an option? I'm very certain that doing this project of great interest serves me well and I'll learn a lot from it. Thanks a lot. Schmichael",2,bronze,3,Tue Jul 21 2015 21:54:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15427,/competitions/diabetic-retinopathy-detection,None
/krishnatokala,nominal_ordinal_syndrome 00,I have a doubt as to why are you not dropping the columns that we are dropping for model one. According to the code the model #2 has all the columns in it right?,0,None,1,Wed Jul 22 2015 01:37:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15428,None,None
/bcooperman,GLM performing better than Random Forest?,"My logistic regressions are consistently performing better than random forest in accuracy and AUC, which is surprising given how much better RF was in the coursework. I'm also seeing a lot of RF discussion on these boards but little to nothing about GLM. Anyone else getting this as well (and seeing reasonably good AUC e.g. >0.84)? Any suggestions on how other have been able to get RF to work well here?",1,None,22,Wed Jul 22 2015 02:02:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15429,/competitions/15-071x-the-analytics-edge-summer-2015,87th
/xinusx,How to run these tests before submission,"I am not sure how to run ""agreement test and the correlation test"" before submitting results. Also not sure how to use check_agreement.csv, check_correlation.cv files for this purpose.",1,bronze,10,Wed Jul 22 2015 08:32:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15432,/competitions/flavours-of-physics,365th
/neerajprad,Evaluation Metric for the Competition,"I just started looking at the competition, and I see that a number of recent submissions on the leaderboard have already reached up to 0.98 AUC. The maximum value for the weighted AUC metric is 1. Am I missing something here?",2,bronze,5,Wed Jul 22 2015 08:39:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15433,/competitions/flavours-of-physics,583rd
/xanderk9,Bag of words corpus?,"If I decide to incorporate ""bag of words"" into my model, am I supposed to create a corpus containing both the training and testing data, or do I create separate corpora from each of the sets? The reason I ask is because I don't know if I will run into errors making predictions on the testing set when there are terms in the training set that are absent in the testing set. Currently, I would think that I should be creating separate corpora since the training set should not include new/unexpected terms from the testing set. However, the examples in Unit 5 use corpora consisting of both training and testing set data, so I'm not sure. There's a discussion on edX titled ""BAG OF WORDS"" regarding this, but as of this post, there's nothing new to me.",0,None,4,Wed Jul 22 2015 08:44:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15434,/competitions/15-071x-the-analytics-edge-summer-2015,1817th
/carloshuertas,"Agreement Test failed, now what?","I watched the introduction video and read the documentation, but still I do not understand this. I can calculate the test locally, however it is still a black-box to me. If its possible I would like a bit more information such as: If my submission failed the test, it is because I did ______________ or because I did not _______________ As now I am just trying random things until it passes the test.",2,bronze,7,Wed Jul 22 2015 10:05:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15435,/competitions/flavours-of-physics,13th
/akansha,Where is Submission file saved in system?,"I am unable to find my submission file on the system. Both my commands have worked perfectly fine without error. MySubmission = data.frame(UniqueID = test$UniqueID, Probability1 = PredictTest) write.csv(MySubmission, ""SubmissionSimpleLog.csv"", row.names=FALSE) or Can I verify if ""SubmissionSimpleLog.csv"" file is even created/generated?",0,None,1,Wed Jul 22 2015 10:46:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15436,/competitions/15-071x-the-analytics-edge-summer-2015,240th
/pkrishn2,RandomForest error,"Hi all, I am getting the following error when i try to use randomforest. str(traintrain) 'data.frame': 1015 obs. of 11 variables: $ description: Factor w/ 675 levels """",""#6428"",""""Great Working Condition"""",..: 263 1 1 1 1 1 1 1 194 648 … $ biddable : int 0 0 1 1 1 1 0 0 0 0 … $ startprice : num 159.99 199.99 175 100 0.99 … $ condition : Factor w/ 6 levels ""For parts or not working"",..: 6 6 6 3 6 6 5 6 6 5 … $ cellular : Factor w/ 3 levels ""0"",""1"",""Unknown"": 1 1 2 1 2 1 1 1 1 1 … $ carrier : Factor w/ 7 levels ""AT&T"",""None"",..: 2 2 1 2 6 2 2 2 2 2 … $ color : Factor w/ 5 levels ""Black"",""Gold"",..: 1 5 3 3 5 5 5 1 1 5 … $ storage : Factor w/ 5 levels ""128"",""16"",""32"",..: 2 2 3 2 4 3 2 2 2 2 … $ productline: Factor w/ 12 levels ""iPad 1"",""iPad 2"",..: 2 4 9 8 1 4 1 1 3 9 … $ sold : Factor w/ 2 levels ""0"",""1"": 1 2 2 2 2 2 1 2 2 1 … $ UniqueID : int 10001 10003 10006 10007 10009 10010 10012 10014 10017 10018 … myfor = randomForest(sold~-description,data=traintrain,method=""class"") Error in reformulate(attributes(Terms)$term.labels) : 'termlabels' must be a character vector of length at least one What am i doing wrong? Thanks Priya",0,None,3,Wed Jul 22 2015 10:54:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15437,/competitions/15-071x-the-analytics-edge-summer-2015,1094th
/del=66b487b5ec8ae8ed,I have an idea but I don't know how to code it,"I have just noticed that most of Description are empty : """" . So I would like to change the nature of the variable from textual to a binary variable (0,1). In conclusion if a Description exists put the value 1 and if a Description doesn't exist put the value 0 I don't know how to code it in R. Every help is well acepted.",0,None,3,Wed Jul 22 2015 11:04:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15439,/competitions/15-071x-the-analytics-edge-summer-2015,675th
/qmaruf,"What should I do, when CV and LB score varies a lot?",Using xgboost and 8 fold local CV I am getting 0.384 as gini index score. However the LB score is 0.374769. What should I look for to minimize CV and LB distance?,0,None,1,Wed Jul 22 2015 11:33:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15440,/competitions/liberty-mutual-group-property-inspection-prediction,90th
/jamespaultg,Crossvalidation - randomness,Is there randomness involved in the train function of the caret package? I am doing a crossvalidation and I get different values of cp at times? In the lecture notes I didn't find any mention about this. Did someone else face this issue?,0,None,3,Wed Jul 22 2015 13:03:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15442,/competitions/15-071x-the-analytics-edge-summer-2015,426th
/soccent,A different random forest error,"I continue to get the following message when I try to run a random forest : Error in randomForest.default(m, y, …) : NA/NaN/Inf in foreign function call (arg 1) I have tried to follow the algorithm in unit 4 to do it. I have changed sold to a factor. I cannot figure out what is wrong. Do I need to convert my other variables to factors or what.",0,None,27,Wed Jul 22 2015 15:54:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15443,/competitions/15-071x-the-analytics-edge-summer-2015,357th
/sunefred,Q: Correlation between a factored and the dependent variable.,"To better understand our data, and ultimately to remove independent variables for increased robustness, I would like to calculate correlations against the dependent variable. How can I do this when I have factored variables? Lets say I have X factors, do I then make X binary independent variables and calculate correlations for each or is there a better way?",0,None,6,Wed Jul 22 2015 16:03:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15444,/competitions/15-071x-the-analytics-edge-summer-2015,583rd
/clustifier,Add count features,"Hi all, I'm using tinrtgu's ftrl and I've tried to add new features, the count of some of the fields, but it haven't improve my score at all. Can someone provide an insight on this? When it might help? What is the right way to do that? etc. Thanks, C",0,None,4,Wed Jul 22 2015 16:04:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15445,/competitions/avito-context-ad-clicks,28th
/marian,Using external information.,"On page linked in Get the Data section ( [Link]:http://www.nature.com/articles/sdata201447) we can find a lot of useful information about experiment. Specifically there is detailed information about (almost) all series for each subject. Can we use this information in our solutions? For example can we use different preprocessing methods for each file, based only on information found on this site? It's even possible to find some information the use of which may be treated as cheating, but would be undetectable to organizators.",1,bronze,14,Wed Jul 22 2015 16:11:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15446,/competitions/grasp-and-lift-eeg-detection,11th
/rkliang,Inconsistent number of COUPON_ID_hash purchased,coupon_visit_train.csv has 17183 unique coupons purchased coupon_detail_train.csv has 19368 unique coupons purchased Is there suppose to be a difference between the two files from a conceptual standpoint? coupon_visit_train.csv has information about which viewed coupons were purchased while coupon_detail_train.csv is the purchase log of users within the same train period? Any insight would be appreciated.,6,silver,10,Wed Jul 22 2015 16:36:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15447,/competitions/coupon-purchase-prediction,None
/themachine,Help Please: On learning Ensemble models,Hi All: Please pardon me if I am asking wrong question: I am trying to learn ensemble models where we use 2 3 different models and we get some better results then single model. Please suggest me some link or posts or book where I can get a head start I have already tried Scikit ensemble models but I am looking where I can learn it thoroughly and can tweak it according to my need. It will be greatfull if someone help me over this. PS: I have already done the google work but not found any satisfactory results. Thanks!,0,None,4,Wed Jul 22 2015 17:28:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15448,/competitions/liberty-mutual-group-property-inspection-prediction,1486th
/root777,Result computation/scores on leader board,"I'm new to Kaggle competitions. Please kindly help me with my question. Are the scores on leader board your results? I believe it is RMSLE metric. How are you computing the result? Are you dividing the training set further into train and test, and then computing scores on the preditions of those test? Since the original test file, does not have cost, which actually needs to be generate. On what basis are you computing the RMSLE score? Thanks in advance, I appreciate any help.",0,None,4,Wed Jul 22 2015 19:46:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15450,/competitions/machinery-tube-pricing,779th
/catherinekherian,SF crimes show two peaks each month,Worst night : Halloween! Safest day : 11th of April The peaks have probably a link with pay-day…,1,bronze,5,Wed Jul 22 2015 19:52:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15451,None,None
/benhamner,Enabling Scripts on this competition,"I'm looking at enabling Scripts on this competition. There's a couple nuances to this one. I want to include the [Link]:https://github.com/yandexdataschool/flavours-of-physics-start/blob/master/evaluation.py, which isn't part of a package. With the current setup, I think the best way to do that is to include that as a source data file (at ../input/evaluation.py), which would then be imported with the following line exec(open(""../input/evaluation.py"").read()) copy Any better ideas within the current setup? It's a messy way to do it (due to Python 3 not really handling file imports in different directories that are outside of modules). There will be a better-designed way to handle things like this in the future, but this is functional for now. Secondly, is there anything additional that would be useful to add to the base Docker images for this competition? I'll look at adding [Link]:https://github.com/anaderi/lhcb_trigger_ml/tree/master/hep_ml to the Python one, which is used in the examples.",1,bronze,1,Wed Jul 22 2015 19:56:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15452,/competitions/flavours-of-physics,425th
/kumaramar,Error in randomForest,"Hi co-learners, I am trying a simple model with randomForest. newdataset= eBayTrain- description + labeledTerms modRF<-randomForest(sold~., data=newdataset[,]) I am getting the below error- Error in model.frame.default(terms(reformulate(attributes(Terms)$term.labels)), : invalid type (special) for variable 'function' Despite much search in google and various forums, I am not getting any clue. Please help. Regards Amar",0,None,1,Wed Jul 22 2015 20:21:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15453,/competitions/15-071x-the-analytics-edge-summer-2015,404th
/karthikmurali11,"Simple low freq, 0.80+","Hi, I have a question regarding your butterworth filter From what I understand, when you filter the test data set, you end up going through all the data at once and filtering it. This means that you filter the data at all instances at time. Doesn't this violate the rule that we can't use future data? Isn't it better to implement a sliding window which only incorporates the current instance of time and the past m instances of time, filter that data and use it? If my understanding of the issue is incorrect, please do let me know.",0,None,6,Wed Jul 22 2015 20:49:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15455,None,None
/alexandrudaia,How  good  is  xgboost?,I found it intriguing that if you drop features wich look to have small influence( like the last specs) xgboost is doing worse both on local eval and on LB.So I was wondering how much information xgb could capture from features that look like trash due to their nzv such as last specs?,6,bronze,3,Wed Jul 22 2015 21:42:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15456,/competitions/machinery-tube-pricing,183rd
/terrymml,K_Competition.R file clue ?,,0,None,3,Wed Jul 22 2015 22:29:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15457,/competitions/15-071x-the-analytics-edge-summer-2015,993rd
/elliotdawson,90th Percentile Marriage Age Disparity,Parts of Los Angeles still lighting up,0,None,1,Thu Jul 23 2015 01:50:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15459,None,None
/xanderk9,Clustering: Pre-processing with ordered factors?,"I tried using the preProcess() function when all my variables were numeric or unordered factors and it worked. Later, I decided to convert some of the variables into ordered factors rather than unordered factors. Now that I have ordered factors in my data frame, preProcess() complains that all columns should be numeric. Is there a proper way to pre-process ordered factors? Is it as simple as translating the ordered factor values into numeric values? ======== EDIT ========== I tested again and preProcess() does complain for both ordered and unordered factors. I'm guessing that trying to normalize unordered factor variables wouldn't make any sense and that I should normalize my data while omitting unordered factors and translating ordered factors to a numeric scale.",0,None,1,Thu Jul 23 2015 02:01:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15460,/competitions/15-071x-the-analytics-edge-summer-2015,1817th
/khwilli373,Please help with uploading file,"Hello to Everyone, Please help me understand how to upload my file. I used the practice getting started sheet to submit the simple logistic regression model, yet I can't find the file to submit it to be graded. If I type the following per the directions: write.csv(MySubmission, ""SubmissionSimpleLog.csv"",row.names=FALSE What do I do next to upload the file? I can't find the file. Any help would be truly appreciated!",0,None,4,Thu Jul 23 2015 02:10:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15461,/competitions/15-071x-the-analytics-edge-summer-2015,713th
/sree93hari,Getting exception during submission ,"Am getting an exception when am submitting the CSV file. The error message reads, ""EXCEPTION: One or more errors occurred. Value was either too large or too small for a UInt64.."" Anyone Please help.",1,bronze,1,Thu Jul 23 2015 03:59:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15462,/competitions/coupon-purchase-prediction,992nd
/jfkingiii,Score 0.981817 with a simple gbm,"[Link]:http://pastebin.com/sJLUkMwq because if you can't beat them, join them?",6,silver,8,Thu Jul 23 2015 04:13:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15463,/competitions/flavours-of-physics,279th
/benhamner,RF + XGBoost Example (0.982253),"Scripts are now enabled on this competition! Here's a quick example using a Random Forest and XGBoost ensemble trained on all but one of the features (excluding this feature, SPDhits, was necessary to pass the agreement check). It scores 0.982253 on the public leaderboard.",1,bronze,4,Thu Jul 23 2015 07:12:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15464,None,None
/mibell,Leaderboard rescoring?,"I can bet that Tokoloshe team had 0.97 yesterday, but now their score is 0.93. Could anyone give us a comment about this?",1,bronze,3,Thu Jul 23 2015 07:37:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15465,/competitions/grasp-and-lift-eeg-detection,30th
/dpttal,Submission Scored NULL,"Hi All, I have made several successful submissions but my latest one scored a NULL. Don't know what that means? Can someone guide? Thanks",0,None,2,Thu Jul 23 2015 10:11:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15466,/competitions/15-071x-the-analytics-edge-summer-2015,1028th
/tobycheese,Keras starter code: deep pyramidal MLP,Thanks!,0,None,6,Thu Jul 23 2015 10:51:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15467,None,None
/qeqe123,SF Map plot with crime category,"I got some problems in getting the .rds map file,cause I can't access google's websites. Could u share your map file?",0,None,2,Thu Jul 23 2015 11:08:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15469,None,None
/abhishekanalytics,One or Two Problem!,"Hello, I have submitted the solution for ebay iPad. Competition will have just one problem or multiple! In case of multiple problem, how can I check those problems.",0,None,1,Thu Jul 23 2015 12:33:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15470,/competitions/15-071x-the-analytics-edge-summer-2015,268th
/sionek,"Log transformation, root transformation, ... ","Reading that log(cost+1) gives better results than raw cost, I have found a little bit better transformation (cost)^(1/N) with N between 16..20. [Link]:https://www.kaggle.com/sionek/caterpillar-tube-pricing/xgbooost Let's try to find another one.",4,bronze,9,Thu Jul 23 2015 12:40:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15471,/competitions/machinery-tube-pricing,261st
/glouppe,Correlation test for a random classifier fails,"Hi - So I have been playing around to understand the meaning the agreement and correlation tests better. In my fiddling, I wanted to to see if a random classifier (i.e. a classifier for which predict_proba(X) = [0.5, 0.5]) would pass or fail the tests. For the agreement test, a random classifier perfectly passes the checks (KS=0.0), as expected. For the CVM test, as far as I understand, it is like testing for a correlation between a constant value (0.5) and the mass. In this case however, the test fails with CvM=0.155. This is surprising since, from the description of the test provided in the challenge, we are looking for a bucket in which the prediction distribution is different from the global prediction distribution -- but this cannot happen since the prediction is the same everywhere. This is also surprising since by the standard definition of ""correlation"", we know that a constant variable cannot be correlated to another random variable. (Or more precisely, ""correlation"" is undefined in this case.) Am I missing something in my interpretation of this test or is it the expected behaviour? from sklearn.dummy import DummyClassifier clf = DummyClassifier(strategy=""uniform"").fit(X, y) from evaluation import compute_ks check_agreement = pd.read_csv(""data/check_agreement.csv"", index_col=""id"") agreement_probs = clf.predict_proba(check_agreement[features].values)[:, 1] ks = compute_ks( agreement_probs[check_agreement['signal'].values == 0], agreement_probs[check_agreement['signal'].values == 1], check_agreement[check_agreement['signal'] == 0]['weight'].values, check_agreement[check_agreement['signal'] == 1]['weight'].values) print ""KS ="", ks, ks < 0.09 from evaluation import compute_cvm check_correlation = pd.read_csv(""data/check_correlation.csv"", index_col=""id"") correlation_probs = clf.predict_proba(check_correlation[features])[:, 1] cvm = compute_cvm(correlation_probs, check_correlation['mass']) print ""CvM ="", cvm, cvm < 0.002 KS = 0.0 True CvM = 0.155842626513 False copy",6,silver,1,Thu Jul 23 2015 13:54:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15473,/competitions/flavours-of-physics,20th
/dgenchev,Combining Predictions in Dataset,"That's a beginner question, but I couldn't find a straightforward answer anywhere (or may not have paid attention in class). Say I have Model1 built on biddable==1 and Model2 built on biddable==0 (subsets of the eBayTrain dataset). When I make the predictions with the two models, how do I attach them to the respective observations in the eBayTrain (or eBayTest) dataset? The data in the eBayTrain dataset is ordered by UniqueID. If I just rbind the predictions from the two models, they will be ordered based on biddable. So, how do I attach the predicted probabilities from the two models to the correct observations in the data? Thank you!",1,None,15,Thu Jul 23 2015 14:50:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15474,/competitions/15-071x-the-analytics-edge-summer-2015,337th
/francbracun,Huge differences between public and private LB,"I've observed huge differences on the public and private LB (several SD of my private LB which I measure by 10-fold CV). Although it is true that the public LB only reflects a small portion of test data, this result is intriguing to me. I think that it is probably better for me to trust my private LB. Does anyone observe similar discrepancy?",1,bronze,20,Thu Jul 23 2015 14:55:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15475,/competitions/machinery-tube-pricing,62nd
/preetamdsr,Simple models?,"Hi everyone, I am doing quite badly in my first attempt at a kaggle competition with a score of 0.825. I have seen people mentioning that with simple logistic regression and simple random forest models, they have achieved scores of 0.84. For starters i have played around with sparsity percentage of the description with no real improvements. Also yesterday i tried stacking 5 models (glm,rpart, random forest, boosting, svm) to no real success. Most of the cases i have even tried 10 fold or 3 fold cross-validations on my training data. While average AUC on training data is about 0.85-0.86, still no luck to crack the 0.825 mark. So, i am a bit bewildered as to what are such simple models that people are using to get 0.84 scores(leave alone 0.86)? Any help will be welcome….",0,None,8,Thu Jul 23 2015 15:30:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15477,/competitions/15-071x-the-analytics-edge-summer-2015,501st
/doniabee,Newbie...so Hopelessly Lost. Help!!,"Hello people, i'm really trying hard to figure this out. Please help. i have been trying to use CART to predict another model. but i seem to be having issues on what data set to use to create the split. Do i even need to create a split again? I just seem to be running into errors with the joining and splitting of the data sets, which is very unlike what we were taught. This line in particular; eBayCART= rpart(sold~., data=???, method=""class"") Am I on the right path?… and what should be in place of the question mark?? Also is there a particular number I must set the seed too? Thanks really.",0,None,25,Thu Jul 23 2015 21:30:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15483,/competitions/15-071x-the-analytics-edge-summer-2015,712th
/alexandrudaia,A crazy suggestion,"Hi guys, I was thinking about a crazy suggestion of mine regarding the public/private LB.I am sure that all of you are thinking what did you make wrong if your methods did not mach de distribution of the private LB.So after the competition is ended I would find natural that kaggle to release not only the final standings but also the private LB so you could see where you have went wrong.So this is a general suggestion not particular for this competition.What do you think?",0,None,5,Thu Jul 23 2015 22:15:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15484,/competitions/machinery-tube-pricing,183rd
/saavyshopper,Convert Gini into dollar amount?,I'm wondering if anyone knows a straightforward way to convert Gini/AUC into a dollar amount. Something that is more interpretable for the business side. Thanks.,0,None,6,Thu Jul 23 2015 23:16:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15485,None,None
/inversion,1337,Do not spoil this! [Image]:http://i.imgur.com/i9FdWvC.png,-1,None,13,Thu Jul 23 2015 23:35:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15486,None,None
/udibr1,Is the private LB control will be different?,"At the end of the competition a different ""private"" test set will be used to evaluate the different models. The question is if this will include a new set of control (i.e. check_agreement and check_correlation) data sets that need to be passed?",1,bronze,4,Thu Jul 23 2015 23:37:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15487,/competitions/flavours-of-physics,24th
/bitsofbits,Naive NNet 0.76+ / 0.90+,"This is a very naive, Lasagne /Theano based Neural net approach to the Grasp-and-Lift EEG detection problem. The version here only scored 0.59494, because I had to gimp it considerably to get it to run. However, I believe that this net should be able to get above 0.8 if tuned correctly, based on validation scores I got running on my own computer. That run wasn't submitted, however, so I can't guarantee that score. [EDIT3] Since Kaggle has upped the runtime limit, I tweaked the parameters and now the script scores 0.71+ on the leaderboard as is. If various parameters are updated as described by bluefool below, it can be run at home to achieve 0.90+. Note as part of my parameter tweaking, I reduced the number of first layer filters from 8 to 4. The strategy is to present the raw EEG data from a SAMPLE_SIZE window at and before the time in question. The first layer does a size-1 convolution with no nonlinearity to reduce the 32 leads we start off with down to 8 composite leads. The there is a simple fully connected net after that point. Sample size is 256 for this run, but a value of 2000-4000 works better. The dense parameter in create_net and the max_epochs argument to train_all would also be good things to crank up. Adding additional, conventional, convolutional layers might help as well. Enjoy! [EDIT] Bluefool (see below) cranked up the numbers and ran this to get 0.84+ [EDIT2] Bluefool (see below) cranked up the numbers more and ran this to get 0.90+",5,bronze,57,Fri Jul 24 2015 01:12:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15490,None,None
/mylesoneill,New Script Editor,The script editor page has undergone some serious cosmetic surgery and is [Link]:https://www.kaggle.com/c/introducing-kaggle-scripts/scripts/new. [Link]:https://kaggle2.blob.core.windows.net/competitions/kaggle/4491/media/new-editor.png The new design follows our [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/15151/new-look-for-script-pages to the script results view. It features a full-width design and shows your log / results right next to your code editor. Happy editing!,3,bronze,1,Fri Jul 24 2015 01:44:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15491,None,None
/harshaneel,How correlation and agreement threshold values are chosen?,In this competition our submission needs to pass two tests (agreement test and correlation test). I was wondering how threshold values are set? like how organizers have chosen <0.09 for agreement and <0.02 for correlation? Are they like pchance values used in chi-square test?,0,None,4,Fri Jul 24 2015 02:45:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15493,/competitions/flavours-of-physics,109th
/psdhillon,Dummy Variable creation over Categorical Variable?,"Hi, Has anyone tried creation of dummy variables for all the categorical variables & checked its affect on various algo like Regression, forest etc. Is there any advantage of converting categorical to dummy in some models. Please help me with some logic to understand the topic. Thanks in advance",1,None,8,Fri Jul 24 2015 04:18:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15494,/competitions/15-071x-the-analytics-edge-summer-2015,1464th
/dchudz,Scripts on Non-Competition Data Sets,"Hi everyone-- We recently launched the [Link]:https://www.kaggle.com/c/2013-american-community-survey competition which doesn’t have a predictive modeling problem defined for you, but is explicitly about creating the coolest scripts. I’m really happy to see some neat ideas so far. We’re planning to launch some more of these soon. We know that you love predictive modeling competitions and this won’t take away from that aspect of the site. But it will let us offer you more data sets, and hopefully some types of data that you don’t see as much in competitions. We’d love to get your ideas about which data sets we should launch this for. These are some categories we’re already thinking about (which we’re happy to take feedback on): sports data (baseball?) some data that will allow even more types of geospatial analysis than the [Link]:https://www.kaggle.com/c/2013-american-community-survey does now some text for natural language processing some scientific data (maybe astronomy, especially given New Horizons) Let us know what you think about these goals, and any specific ideas you have (within these categories, or anything else). Thanks! David",2,bronze,3,Fri Jul 24 2015 04:24:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15495,None,None
/srikiyer,"Help:using Lasagne in Ec2, Theano unable to detect GPU","This could well be pretty late for this competition but I have been trying to use lasagne for this competition with no luck (and I am fairly new to using gpu in ec2) . I followed the instructions from here: [Link]:http://markus.com/install-theano-on-aws/ to install Cuda and theano in g2x ec2 instance followed by sudo apt-get install python-pandas sudo pip install sklearn and then to install lasagne and nolearn I followed Daniel Nouri's : [Link]:http://danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/ Everytime I run the mnist.py, I get this message: ERROR (theano.sandbox.cuda): Failed to compile cuda_ndarray.cu: libcublas.so.7.0: cannot open shared object file: No such file or directory ERROR:theano.sandbox.cuda:Failed to compile cuda_ndarray.cu: libcublas.so.7.0: cannot open shared object file: No such file or directory WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu is not available WARNING:theano.sandbox.cuda:CUDA is installed, but device gpu is not available and then on the cpu is used. I am unable to fix this despite of updating the path: $ echo -e ""\nexport PATH=/usr/local/cuda/bin:$PATH\n\nexport LD_LIBRARY_PATH=/usr/local/cuda/lib64"" >> .bashrc $ source ~/.bashrc I did manage to use the gpu once (I followed the same steps as above), but I never managed to make use of the gpu after that. I am hoping that I am missing out something very simple.Any help/pointers is greatly appreciated. Thank you!",0,None,2,Fri Jul 24 2015 04:34:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15496,/competitions/diabetic-retinopathy-detection,283rd
/stunuguntla,Relevance of min_order_quantity and quantity,"The way the problem was described, the column min_order_quantity does not have any relevance when bracket_pricing is True, right? And similarly for the column quantity when bracket_pricing is False? Or am I missing anything?",0,None,1,Fri Jul 24 2015 07:47:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15498,/competitions/machinery-tube-pricing,None
/vasaibaby,Random Forest error on levels,one of the variables in the given datasets when converted to a factor variable shows different number of levels in training set and test set.Due to this im not being able to predict on my random Forest.How to solve this problem?,1,bronze,7,Fri Jul 24 2015 08:09:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15499,/competitions/15-071x-the-analytics-edge-summer-2015,410th
/rajeevengg06,Absence of Mapping between MovieID and Movie name,"Hi, I think I have downloaded all the data files published here which are basically 3: Movies - Info abt movies Users - User demographics Ratings - Mapping of Users, Movies and Ratings We can relate Users and Ratings file based on UserID column but there is no mapping between MovieID and Movie Name. Movies file does not have a MovieID column. So we can't know who watched what… Has anyone else faced the same problem? Please upload if there is any mapping data available. Thanks,",0,None,1,Fri Jul 24 2015 08:35:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15500,/competitions/movie,None
/johnksy12,Understanding of data,"Hi, all. I've tried to figure out the data, but there are some columns which are ambiguous to me. Why do we need 'GENRE_NAME'? We have 'CAPSULE_TEXT' which is quite similar to it. What do 'PURCHASEID_hash', 'VIEW_COUPON_ID_hash' and 'SESSION_ID_hash' mean? Intuitively, I could figure out what is' USER_ID_hash' and 'COUPON_ID_hash', but I couldn't understand other columns with ID. Is there anyone who could explain those stuffs??",2,bronze,29,Fri Jul 24 2015 08:40:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15501,/competitions/coupon-purchase-prediction,306th
/deepcuj,Do the series # imply any information?,"I was reading the data paper and it indicates that there were 6 weight series, 2 friction series, and 2 mixed series. Since we're predicting for series 9 and 10, I was wondering if these series numbers meant anything (whether we are given information on whether each series corresponds to a particular type of series) I know this is off-topic but I am also wondering if there is a run-time constraint on this competition. Thanks,",0,None,11,Fri Jul 24 2015 08:56:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15502,/competitions/grasp-and-lift-eeg-detection,70th
/vasaibaby,RandomForest not giving a good score yet,after building a randomForest model based on the important variables and usinf a SplitRatio of 0.7 i got a AUC of 0.86..But still on uploading the file by building it for eBayTest i got a score of 0.79!! How to go further now>?,0,None,2,Fri Jul 24 2015 09:02:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15503,/competitions/15-071x-the-analytics-edge-summer-2015,410th
/jamespaultg,UniqueID,I find it strange that including UniqueID as one of the predictors in the logistic regression model yields a better results. I thought UniqueID is only a sequence number and wouldn't have any effect. But it does seem to improve(this submission scored better). Any thoughts?,0,None,4,Fri Jul 24 2015 09:20:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15504,/competitions/15-071x-the-analytics-edge-summer-2015,426th
/jamespaultg,Clustering - factor values in training and testing set,"I tried K-means clustering on the startprice. In one of the clusters it so happened that the training data didn't have a factor value, but the testing data had it. So while trying to predict on the testing data, the following error occurs ""factor storage has new levels 128 "". How should we deal with this error? I think the only way out is to do a clustering in which the training data has all possible values. Any thoughts on this?",0,None,1,Fri Jul 24 2015 09:28:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15505,/competitions/15-071x-the-analytics-edge-summer-2015,426th
/grant0321,Anyone from Australia wants to team up?,"I am just starting this competition but do have some ideas, and would like to form an Australian team. Does anyone from Australia wish to join?",0,None,1,Fri Jul 24 2015 09:32:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15506,/competitions/grasp-and-lift-eeg-detection,106th
/hmboxwala,0.24 with xgboost in R,Is someone else also getting error as NaNs produced when submitting this csv?,1,None,13,Fri Jul 24 2015 10:46:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15507,None,None
/joelprince25,I get different values of cp everytime I perform cross-validation on the same model.,,0,None,2,Fri Jul 24 2015 14:42:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15510,/competitions/15-071x-the-analytics-edge-summer-2015,1350th
/abhigenie92,Edit an hidden script,"How can I edit a hidden script? Whenever I hide a script the option to edit it, goes away!",0,None,4,Fri Jul 24 2015 15:12:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15511,/competitions/grasp-and-lift-eeg-detection,230th
/fanfan923,How to apply term variables to TEST data set? ,"I applied text analysis method to the ""description"" variable and generated term- observation matrix using the Training set. But how can I apply those term variables to the Testing set? I am asking this question because I failed to use my text regression model generated from Training set to predict the Testing set. Thanks!",0,None,1,Fri Jul 24 2015 17:03:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15512,/competitions/15-071x-the-analytics-edge-summer-2015,548th
/pawb63,Removing Rowname Column,"For some reason, when I am submitting my entry there appears to be a row name column for the csv file. I would have thought that the row.name=FALSE would have dealt with this issue.",0,None,3,Fri Jul 24 2015 17:29:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15513,/competitions/15-071x-the-analytics-edge-summer-2015,1730th
/alexandrudaia,Anyone with a  good  station   to team -up :),"I am currious if there is somewone with a good machine and Python skills which want's to team up with me , I am not going to compete long at this cause I don't have time , I started another competition that I find it less interesting then this , but I do wan't to try tuning a model or to for curiousity and fun :) and let it there until the end and hopefully it will bring good result, so I am just looking for somewone to help me tune 2 models and let them there?",0,None,4,Fri Jul 24 2015 18:16:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15514,/competitions/flavours-of-physics,521st
/mikeskim,Wrote a NN based upon TINRTGU,"Can someone sanity check this Python MLP with one hidden layer based upon TINRTGU? It seems to work but I think something is off and I haven't been able to successfully add hidden layers to it (my fault really). It doesn't seem to work really well compared to FTRLP though. Depending on features and data, scores around 0.045 compared to 0.043/0.044 for FTRLP. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/86856/2761/fast_solution_NN2Kag.py",3,bronze,6,Fri Jul 24 2015 20:02:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15518,/competitions/avito-context-ad-clicks,30th
/harshbitsgoa,error in random forest,"first i created a random forest model, it shows me the following warning, Warning message: In randomForest.default(m, y, …) : The response has five or fewer unique values. Are you sure you want to do regression model got created and when i tried to use the model on the test data it gives Error in predict.randomForest(ranfor, newdata = test) : Type of predictors in new data do not match that of the training data. Could anyone help me out to resolve the issue?",0,None,2,Fri Jul 24 2015 21:32:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15522,/competitions/15-071x-the-analytics-edge-summer-2015,370th
/mahi83,Installing xgboost on python,"Can someone help me install xgboost on python, by providing a set of instructions? I am having difficulties doing such.",1,bronze,6,Fri Jul 24 2015 22:43:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15524,/competitions/machinery-tube-pricing,105th
/avishek,Question reg. early stopping of xgboost,Is there a way to stop the verbosity of the early stopping mode of xgboost? Like to do the early stopping without the console messages. Any suggestions?,0,None,2,Fri Jul 24 2015 22:46:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15525,/competitions/liberty-mutual-group-property-inspection-prediction,113th
/ginotesei,Are technical tube predictors (like diameter) less uncorrelated to cost for higher levels of quantity?,"Hi guys, I'm wondering if for higher levels of quantity tube technical features are less correlated to the selling price. This could be pretty expectable as the more the quantity the more the discount Caterpillar buyers are likely to ask. [Link]:https://www.kaggle.com/ginotesei/caterpillar-tube-pricing/plot-predictors-correlation-vs-cost I uploaded a script showing this fact for tube diameter. Output plot is reported here below. As you can see the slope of the linear model becomes flatter for higher levels of quantity. Are you agree? [Link]:http://3.bp.blogspot.com/-csOhpMFXJbQ/VbKlU5imlmI/AAAAAAAAAUo/Haz5v4dKWWo/s1600/DiamterVsCost.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/86874/2762/DiamterVsCost.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/86874/2763/DiamterVsCost.jpeg",6,silver,3,Fri Jul 24 2015 23:07:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15526,/competitions/machinery-tube-pricing,48th
/justfor,xgb early stopping - To all scripts nominal_ordinal_syndrome,"Hello, to all, who uses early stopping in xgb in some script e.g. nominal_ordinal_syndrome. These scripts use early stopping in xgb. Please note, that in xgb If early stopping occurs, the model will have two additional fields: model.best_score and model.best_iteration. Note that train() will return a model from the last iteration, not the best one. This should be taken into account. Therefore preds1 = model.predict(xgtest) should not be used. Use instead: preds1 = model.predict(xgtest, ntree_limit=bst.best_iteration) Hope this helps Regards",24,gold,3,Sat Jul 25 2015 01:04:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15528,/competitions/liberty-mutual-group-property-inspection-prediction,18th
/domcastro,Feeling persercuted regarding Scripts!,"When I see the square on the LB and press it and go to the Script, I then Fork it but it never runs in the 600 seconds. It must have run for other people? I've just forked one (it had a tick on the version number) but when I run it, it gets killed. All I wanted to do was add "", ntree_limit=model.best_iteration"" into the predict statements (Justfor's forum post) I've tried others and it's the same, the little square box is deceiving me in some way EDIT: and now I've spelt Persecuted wrong and feel more persecuted because I can't edit title",2,bronze,14,Sat Jul 25 2015 02:16:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15529,/competitions/liberty-mutual-group-property-inspection-prediction,62nd
/drdoom,muon charge? ,"I'm surprised that the muon charge is not included. Could we get that, mayhaps?",1,bronze,1,Sat Jul 25 2015 05:32:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15530,/competitions/flavours-of-physics,None
/jstaker7,Not passing the correlation test?,"My submission received a 0.02 on the correlation test, which is above the 0.002 threshold. I did not include mass during training, so how is it possible that I could fail this test? Any ideas on how this happens outside of using mass during training?",0,None,5,Sat Jul 25 2015 08:48:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15532,/competitions/flavours-of-physics,531st
/nikeshbajaj,Data leakage and future data -Will disqualify?,"As described in instructions, Isn't use of scaler= StandardScaler() for test data invalid and will disqualifies the modal? Similarly filtering complete signal at once, is it allowed. As most of scripts scoring 0.8+ are using it and getting score in leader board Can admin help to understand this? When predicting, you may not use data from the future! In other words, if you are predicting labels for id subj1_series9_11, you may not incorporate any frame after 11 of series 9 from subject 1. You must be careful not to include data leakage. For example, you may not center the signals for subj1_series9_11 based on the mean of all frames for subj1_series9. Instead, you must use the mean based on frame 0 to 10.",0,None,6,Sat Jul 25 2015 09:35:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15533,/competitions/grasp-and-lift-eeg-detection,139th
/psdhillon,Ideas invited from 0.85+ club,"Hi everyone, Hope you all enjoying the competition. I have touched 0.83 with use of text analytics & Glm by doing imputation. Please suggest approaches & ideas to touch 0.85 because improving model is always challenging. Happy Learning !!",6,bronze,45,Sat Jul 25 2015 12:47:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15535,/competitions/15-071x-the-analytics-edge-summer-2015,1464th
/wildwizard,validity of new strategies?,"I want to discuss a new strategy i came with because anyway i don't think it would help me achieve victory at my skill level and anyway I am here to learn: I would like to know if what I thought about are valid ml approach? So we discussed a lot about the components and specs and interactiond with other parameters and I read words from the top competitors. I try a lot of self made features as well as the regular ones we are given but no matter the combo it don't go far. My best increase was 29 places and it doesn't even go past half of LB. Part of the problem are my tools and I expect to try some python code now since algos available in weka can't make the job properly (my best tries are M5 and REPTREES and that's clearly weak). But anyway just having good algos and feats might not suffice here. And even like that if i ended having a good score by finding the good fat combo and good hyper parameters and i would not be very satisfied cause it would be just trial and error with no real knowledge/smarts involved. I saw that averaging or min maxing combos of some very weak results with stronger ones gave better result and with my batch of submissions i could stop fooling with the data set and just try to find the best combo for that but using an exhaustive systematic approach is not satisfactory intellectually and also not devoid of the risk of lb overfitting. So I thought about different things i could try instead of just ensembling basically poor results and trying to find a golden feature when we are clearly in a coal mine and we will only get better by hard work. They are all based upon the same idea/process. 1st technique: training, make a 1st prediction on test, making a feature of the prediction error on training set, trying to predict the prediction error on test set by a second algo with a different prediction modus operandi, and use this prediction to adjust the first cost. What i wonder is: is it good idea conceptually, and should i use the cost (or predicted cost) for second prediction or waste this column? 2nd: closer to that, since random forests in weka can't handle numerical values i made a nominal category of existing costs. Prediction on test gives indeed weak results since the cost can't be always the same. And ""categories"" will be wide (my computer could not handle 1600 different categories so i made a division in 20 classes. Sd is not constant in these so maybe it is the mistake). So i added these large categories as a feat to my dataset to help my first algo to be more accurate (i wanted this cat to be a sort of flag saying ""low cost tube"", for example). But it did not work. Which makes me wonder about the would idea. It's the concept wrong or is it good but with poor execution or a the fat not good for this dataset (and a similar try like 1st technique would be better?)? 3rd: i would like to do the same by using exponential transformation of cost. As i said elsewhere, The rationale behind the log transformation (helping the algos minimizing their error to the value that will be used in evaluation) made me think the other way, would not we obtain good results too by trying to minimize on exponentials? Because even if algos make errors, they will be diminished once took back to normal (log of the exponential), since a ""big mistake"", won't be as big. I could also use this method stand alone and not as an intermediate prediction. 4th: a little different but i took very ill performing results and well performing ones and then tried to maximize the distance between good ones and bad ones by selecting those along goods with farthest distance to the bad ones. But while i think that could work on few predictions here to much compensations can occur and it's a mess. Plus anyway this is LB fitting, not data science. 5th: Inversion inspired me this. He told about ""a problem like solving multiple unknown equations systems"". Also there was this interrogation i had about the multiple contributions a same feat could have (dimension to volume and for some other matter as contribution in volume as volume is best only with dimensions). So i wonder if instead of predicting on a set with all the fitting feats i came up with which yield so bad and instead of trying various combos of these with the same algo (or multiples ones) and then trying to find the best combo of prediction, i should not try to do it with a completely different Approach: Not integrating components or specs to data with dimensions and so on but breaking models to very simple parts and instead of trying to predict a cost trying to find the x factor in each as a prediction. Some sort of clustering actually which would relate that some cost is related to some dimensions (cluster a), while exact same dimensions (cluster b) are related to different cost. Then associate found clusters to other groups of characteristics like components and our features to try and find which ones are related to this x factor/cluster and then predict this for test set, as a proxy again to model complex features interactions, for finally trying to predict the cost. I know these ideas are overly convoluted and with my current understanding of algorithms i may make horrendous conceptual mistakes so advices, insights and comments are very welcome and I'll be very glad to you. I just throw that here for not losing something potentially interesting as i could came up with a good idea by beginner's luck but honestly i believe more about you all pointing out my mistakes and making me good suggestions do I will improve. While waiting for answers, i guess i have to go study a lot more… Thanks by advance.",1,None,3,Sat Jul 25 2015 13:40:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15536,/competitions/machinery-tube-pricing,917th
/oussamaahmia, the result of a python script online is different than on my Personal pc,"HI, i am a french speaker so sorry for my english. I just realize that when i execute the same python script online and on my personal PC i got different result (I use python 3.4). if some one could explain me i would be really great full.",0,None,3,Sat Jul 25 2015 14:29:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15537,None,None
/saj1919,Trying to solve with keras nn,"Hi, I am trying to learn keras and chose Titanic problem to learn with. But I am getting weird results with attached code : I am getting following results : Train on 712 samples, validate on 179 samples Epoch 0 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 1 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 2 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 3 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 4 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 5 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 6 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 7 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 8 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 Epoch 9 712/712 [==============================] - 0s - loss: -0.0000 - val_loss: -0.0000 copy I am trying to create a simple 3 layer network. Totally basic code. I have tried these kind of classification problems before using keras on kaggle. But this time getting this error. Is it overfitting due to less data. What I am missing ? Can someone help ? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/86948/2764/keras_titanic.py",0,None,2,Sat Jul 25 2015 16:22:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15538,/competitions/titanic,None
/anngadsingh,K-means Clustering Recombination Problem,"I trained separate models on separate subsets of data according to the k-means clusters. When I check the Training subset accuracy (on the training subsets themselves), it's pretty high, approx 0.88 to 0.91 for each model. Now, when I make a combined prediction, using, AllPredictions = c(PredictTrain1, PredictTrain2) , it seems that it arranges the predictions according to clusters, Subset1 then subset 2. So when it maps to the originally ordered Training set, it gives a bad auc. However, I checked it using a new data set, by combining the two subsets into a single set, and testing the 'AllPredictions' model on it, and it gave an auc of 0.91. So the problem is that when I combine the Predictions, it combines in order of subsets, but maps on to the original data while making predictions, which causes a mismatch. In problem 4.4 of week 6, they recombined the test sets after clustering, but here we cant do that to the test set. Is there a way that I can arrange each prediction according to the original dataset? Please help!",0,None,4,Sat Jul 25 2015 22:43:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15539,/competitions/15-071x-the-analytics-edge-summer-2015,1051st
/morsecode,Tube Assembly's Diameter feature = inner or outer?,I am assuming that the diameter feature provided in tube.csv is the inner diameter rather than the outer diameter. Can someone confirm?,1,bronze,1,Sun Jul 26 2015 00:03:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15540,/competitions/machinery-tube-pricing,646th
/clustifier,What the ~0.041- group knows that the ~0.43- doesn't?,Looking at the LB I think it's obvious that the ~0.041- group knows something about the data that the rest doesn't. Can't wait to see what it is though I hope I'll find out myself before the competition end.,3,bronze,12,Sun Jul 26 2015 01:37:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15541,/competitions/avito-context-ad-clicks,28th
/cbourne,Connected Particles III (bl.ocks),Fantastic!,0,None,2,Sun Jul 26 2015 06:19:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15544,None,None
/ritesh256,Testing set auc,I am getting AUC of 0.99 using random forest and 0.90 with glm on my training data set but while making submission I get better results with glm. My test set auc value is not going beyond .837. TThis is case of overfitting in training set. How I can avoid overfitting and can improve accuracy on test set,0,None,1,Sun Jul 26 2015 07:07:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15545,/competitions/15-071x-the-analytics-edge-summer-2015,127th
/santhoshangamuthu,Error with Cart Model,"I am executing the basic cart model prediction using the rpart. performed rpart on train set. did the predict function on the test set. when i am trying to build the submission data frame i get the following error MySubmission10 = data.frame(UniqueID = eBayTest$UniqueID, Probability1 = predictCartTest) Error in data.frame(UniqueID = eBayTest$UniqueID, Probability1 = predictCartTest) : arguments imply differing number of rows: 798, 1861 i looked at the test set by str(), no of observations were 798, also it was same for predictCartTest. i don't know what the mistake i am making….",0,None,4,Sun Jul 26 2015 07:37:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15546,/competitions/15-071x-the-analytics-edge-summer-2015,964th
/simonlaffoy,Best kNN performance,"Hi, I'm interested to know what kind of scores teams have been able to get when restricting themselves to a kNN classifier. If the data was more like the MNIST data set ( [Link]:https://www.kaggle.com/c/digit-recognizer) I could believe that an accurate kNN classifier could be built, however the irregularity and noisiness of the our data set makes me believe that no amount of preprocessing will help to produce an accurate kNN classifier. Am I wrong on this? I've managed to get a max score of 55% using kNN and some basic preprocessing. I have since attempted much more advanced preprocessing, of which I had high hopes for, but was not able to improve on or even reach this level. Time to ditch kNN?",0,None,6,Sun Jul 26 2015 08:18:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15547,/competitions/street-view-getting-started-with-julia,None
/deepcnn,Distribution of probabilities for test set,"I was curious about the prediction probabilities and did a histogram on it. For a reasonable submission with LB ~0.047XX (I know it is still way down, but reasonable regardless), I got the following values for a 10 bin histogram: Frequency: 7760859 48281 4109 1843 637 322 158 132 0 20 bin center (probability): 0.0174 0.0503 0.0832 0.1161 0.1490 0.1819 0.2148 0.2477 0.2806 0.3135 with max prob = 0.33 and min prob = 0.000947 7760859 out of 7816361 total testing set got probability less than 0.05. Does this mean that the model is not calibrated? It seems that the model is almost useless as it won't predict even a single click with more confidence than what's possible by chance although it achieves an overall logloss ~0.047XX. What are the practical implications of this model?",0,None,6,Sun Jul 26 2015 10:08:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15550,/competitions/avito-context-ad-clicks,136th
/georgesolymosi,Need help - Lasagne  - nolearn!,"Hi Guys! I really would have liked to achieve some nice result on this competition. Unfortunately I was motivated by some personal reason too. Probably I won't manage to achieve my original goal, but I'd like to make some tiny improvement in my work at least. But unfortunately either my current knowledge or some little latent technical issue (or both) held me up to do this so far. At the start I worked with Hoyt Koepke's code and I had promising results and in addition I have a key idea I wanted to check, so I was hopeful enough. But later I have to change to some other platform mainly because of copyright problem, and I changed to nolearn. But for 2-3 weeks I'm just struggling with nolearn, most likely my bad, but I can't step forward a simple step. The top moment today was when I succeeded to reach to converge to MSE 0.25! :)) So would anybody be so kind and help me to move away from this dead-lock with any kind of nolearn/lasagne convnet configuration(the least working is good for me at his monent) or/and some useful advise? I tried several data normalization, full army of net configuration (recall that with Hoyt's kind code I have good results) options but someway, somehow I am get stuck at this point. Mostly I had a learning curve, with decreasing training and very similarly increasing validation curve and I can't figure out why. Thank you in advance, George",-1,None,6,Sun Jul 26 2015 13:30:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15551,/competitions/diabetic-retinopathy-detection,582nd
/del=2612cfbf105b37da,meanitraining and test odd even numbers,What does it mean by training set is odd number and test set even number? Cant i just use train.csv to predict test?,0,None,1,Sun Jul 26 2015 14:38:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15552,/competitions/sf-crime,None
/dchudz,Making a Map: Easy Example using Basemap,Thanks for showing off a way to get started with mapping shapefiles in Python!,1,bronze,9,Sun Jul 26 2015 17:46:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15553,None,None
/skipjack,Strange terms in text corpus,"I've made everything from K_Competition_TextData.R script (from [Link]:https://courses.edx.org/courses/course-v1:MITx+15.071x_2a+2T2015/courseware/0d44b527efd7462aa08c70f7fb67db5a/1d5e1d06ac6e4bb0b214dc16c001faeb/) and after removing sparse terms (sparse = removeSparseTerms(dtm, 0.99)) got this list of terms: X100, affect, amp, apple, back, box, brand, case, charger, clean, come, condit, condition, corner, cosmet, crack, dent, devic, doe, excel, excellent, fulli, function., functional, good, great, has, hous, icloud, includ, include, ipad, item, light, like, list, may, mini, minor, mint, near, new, normal, one, onli, open, origin, perfect, pleas, read, scratch, scratches, screen, scuff, see, show, sign, small, still, tab, tear, test, the, this, unit, use, used, veri, wear, wifi, will, work. As you can notice, there are 6 pairs of similar terms: condit, condition excel, excellent function., functional includ, include scratch, scratches use, used Moreover, ""function."" for some reason comes with a dot at the end of the term. I began to investigate the problem and found certain weird examples: ""iPads are in great shape. Very minor cosmetic scuffs on the back. Screens are in excellent shape. "" is classified as ""excel"" ""Open Box Excellent Condition .. All original accessories included in its original box."" is classified as ""excellent"" ""good condition, minor wear and tear on body some light scratches on screen. functions great."" and ""Ipad has been previously used and shows some light signs of use. Some light scratches on front "" are classified as ""scratch"" ""No scratches. Comes with Screen protector and charger."" and ""iPad has average amount of scratches, scuffs and possible dings on the corners, but overall Good "" are classified as ""scratches"" The same for other pairs of these similar terms. It seems that punctuation after words and capital letters matter in my case. This is rather strange because I performed every steps from orininal script, including tolower, PlainTextDocument, removePunctuation, remove stopwords and stemDocument steps of text processing Is that O.K. or not? Does anybody have different terms after running original script (K_Competition_TextData.R)?",0,None,9,Sun Jul 26 2015 18:01:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15554,/competitions/15-071x-the-analytics-edge-summer-2015,98th
/subarna19,Reading the data,"Hi, I am fairly new in R. Can anyone please explain if I need to add some library to import this type of data in R. When I am using read.csv, it is not showing any japanese text (which I understand from other forums) is present in the data. Currently, it shows some encoded text. Help Please :) PFA screenshot of data. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87049/2765/Capture.PNG",0,None,2,Sun Jul 26 2015 18:12:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15555,/competitions/coupon-purchase-prediction,None
/erlend,"Check you Agreement, Correlation and ROC","I don't understand how to use the ROC/AUC test… you're testing on the training data so of course the AUC score is very high (I actually get an AUC of 1.0 when I run this code). When I submit the resulting .csv file my ""score"" is notably lower. What's wrong?",1,bronze,8,Sun Jul 26 2015 18:20:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15556,None,None
/erlend,Why is the ROC only calculated on the min_ANNmuon > 0.4 data?,"I don't think it's explained anywhere, but why is the ROC/AUC score only computed on the data where min_ANNmuon > 0.4? See here for an example: [Link]:https://github.com/yandexdataschool/flavours-of-physics-start/blob/master/flatness_boosting.ipynb Furthermore why, in the example scripts (starter-kit), is the ROC/AUC calculated on the training data… surely this will give high scores to models that overfit?",3,bronze,4,Sun Jul 26 2015 18:56:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15557,/competitions/flavours-of-physics,505th
/yejiming,Ranked 30th by script?,I'm amazed by the performance of those scripts.,0,None,43,Sun Jul 26 2015 19:13:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15558,/competitions/liberty-mutual-group-property-inspection-prediction,381st
/alakhpal,Errors while predicting Logistic and CART models,"Logistic model prediction Errors: Although structure of Training and Testing set shows the same levels for all the variables (I changed the levels of Productline variable as suggested in this forum in another thread) Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor productline has new levels iPad mini 3 Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor storage has new levels 128 CART model prediction Errors: Error in eval(expr, envir, enclos) : object 'conditionManufacturer refurbished' not found Error in eval(expr, envir, enclos) : object 'affect' not found Please suggest ! Thanks, Alakh",0,None,2,Sun Jul 26 2015 19:27:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15559,/competitions/15-071x-the-analytics-edge-summer-2015,209th
/ilovesolder,Is feature scaling always good? and need help for improvements!,"So I've been playing around with the data for a few weeks now… currently stuck at just below 0.79… I've been using the RF library from scikit-learn I noticed that if I standardize (subtract mean and divide std) the Fare variable, my predictions actually become less accurate… Why would this be happening? I've also tried making some new features like Fare * PClass, or AgeFill * SibSp * Parch because I thought maybe when you are old and have a lot of family members with you, you would be more likely to give up your seat on the life boat…. but they all seem to making my model worse… I have also tried using SVM from scikit-learn but I cant get that to work better than RF either…. Are there better ways to clean the data than how it is done in the Kaggle tutorial?",0,None,1,Sun Jul 26 2015 20:55:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15560,/competitions/titanic,None
/katynau,Convert to Factors-UNKNOWNS,What happens to 'Unknown' when you convert a variable to a factor? Is it just another 'category' of the variable that gets 'factorized'?,-1,None,1,Sun Jul 26 2015 21:02:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15561,/competitions/15-071x-the-analytics-edge-summer-2015,1353rd
/anuraag2,Medical Informatics with machine learning ,"Not related to kaggle though… I'm pretty new to machine learning and was planing of making a project in which I will be predicting prescription and diseases of patient based on age, sex, medical history etc.. Is this project feasible and where should I look for data? Any other pointers? Thanks!!",1,None,3,Sun Jul 26 2015 21:11:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15562,None,None
/teamxpicdmcontest,hierarchical structure of categories,"Hi, Given that categories have hierarchical structure, is it possible that a low level category belongs to multiple higher level category? For example, a category ""dog"" belong to category ""pets"" and also belong to category ""animal""? Thanks!",0,None,3,Mon Jul 27 2015 03:24:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15563,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/benhamner,Colorado Transplants,Good luck! Interested to see what you find,0,None,3,Mon Jul 27 2015 04:23:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15564,None,None
/nphardly,Ensembling Kaggle for Charity,"Dear fellow Kaggle Competitor, Want to have your solution count and at the same time help save lives by contributing to effective altruism?? If so, we’d like to invite you to join a cooperative effort using ensemble methods for the Diabetic Retinopathy competition ending on Monday and the Avito Context Ad Clicks context ending on Tuesday and help win a prize that would be donated to Charity. Ensemble methods have proven time and again to win machine learning competitions and by pooling as many teams as possible, we greatly increase our chances of winning. If we do win, it will be announced at the [Link]:http://www.eaglobal.org summit next week, and proper credit will be given to everyone who contributes. Kaggle’s rules on sharing code and data privately are strict. However they do allow for all such data to be shared publicly and made available to all contestants. With this in mind, if you are interested please pay attention to the following: As soon as you are able, share the outputs of both the training and testing sets on your github (or I can provide somewhere to share this) with a LICENSE file saying “Permission is granted to use this in a competition only if the winnings are donated entirely to charity”. If your results are useful then, before Monday’s deadline, you will open source your code with an MIT license (without any restriction). We encourage you to also read up on [Link]:http://www.effectivealtruism.org/, “a philosophy and social movement that applies evidence and reason to determine the most effective ways to improve the world”. Any prize money won will be donated to charities recommended by [Link]:http://www.thelifeyoucansave.org/ and [Link]:http://www.givewell.org/charities/top-charities. We are happy to hear about any other requests or suggestions. As a last comment, by pooling our solutions together we will also be able to provide a much higher quality solution to the California Healthcare Foundation instead of them just having access to the top few. We also look forward to future cooperative efforts for Kaggle and we will be updating this blog periodically. Please contact us with any questions.",0,None,3,Mon Jul 27 2015 07:23:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15566,/competitions/diabetic-retinopathy-detection,574th
/neerajprad,Agreement Test Details,"Looking at the details of the Agreement Test, we would like the classifier outputs to be from the same distribution for both the cases: Real data : consisting of both signal and background Simulated data: consisting only of signal Why is the distribution of the outputs supposed to be the same for both the cases? I would imagine that if we are not using any simulation specific features, the distribution should be the same only if we confine ourselves to signal events for both the data sources (or if we also simulate background events in the same proportion).",4,bronze,2,Mon Jul 27 2015 08:50:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15567,/competitions/flavours-of-physics,583rd
/apatti,SF Crime Vs Time graphs,May and October seems to be highest.,0,None,3,Mon Jul 27 2015 10:39:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15568,None,None
/triskelion,"""effective altruism"" experiment on Kaggle","Found this call for an experiment to be performed on Kaggle, on currently running (but very close to ending competitions) Want to have your solution count and at the same time help save lives by contributing to effective altruism? … As soon as you are able, share the outputs of both the training and testing sets on your github (or I can provide somewhere to share this) with a LICENSE file saying “Permission is granted to use this in a competition only if the winnings are donated entirely to charity”. The Avito and the [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/forums/t/15566/ensembling-kaggle-for-charity challenges would be affected by this. [Link]:http://slicedfish.com/2015/07/26/Ensemble-Kaggle-for-Charity.html Good or bad idea?",0,None,2,Mon Jul 27 2015 13:38:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15570,None,None
/blumaumau,problem with clustering of test data,"Hallo, I have used clustering (with hclust) on the training data and got good results with separate GLMs for the clusters. Now I want to apply the same clustering to the test data, but don't quite know how. With kmeans it would be simple to predict, but I can't use kmeans because of factored columns (get an error there). Is there a way to use the trainingset clustering on the test data?? Please help UPDATE: I also tried kmodes() from package ""klaR"" instead of kmeans(). This seems to work with factors just fine, at least in principle. But the resulting cluster groups seem to have no meaning. (with hclust there was some inherent system, like ""expensive cluster"", ""cluster with lots of Unknowns"" …) However - the kmeans way to predict on the test set from the lecture does not work here either: km = kmodes(Train, 7) km.kcca = as.kcca(km, Train) ERROR: wrong method as.kcca used on object of class ""kmodes"" (freestyle translation of the error into english) but one need the kcca or something like that to cluster the test data like the training data, right?! I really would like to use my original hclust() clustering on test, because the combined GLM-models of the different clusters got a way higher prediction value than anything I have tried before…",1,None,5,Mon Jul 27 2015 17:42:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15572,/competitions/15-071x-the-analytics-edge-summer-2015,1709th
/edulock081,Overfitting your own TEST set,Imagine you set a seed (say 12574625) to divide you sample in a test and training set. Then you try different models until you get a high auc (or other meassure of accuracy) on your test set (which is always the same since you set a seed). Wouldn't this be like overffiting your model but in a smaller portion of your original dataset? Thank you for your help!,0,None,5,Mon Jul 27 2015 17:50:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15573,/competitions/15-071x-the-analytics-edge-summer-2015,796th
/guppi3695,What people do after finding feature importance.......,"Hi , I am new to this field and I am not able to find the better way of dealing with features, what should I do next after having features importance, should I not include least important features in my model? or their exist some other ways of dealing with that. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87174/2767/figure_1.png",0,None,5,Mon Jul 27 2015 17:52:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15574,/competitions/machinery-tube-pricing,11th
/mahi83,xgboost different results,"Hi, When I run the script [Link]:https://www.kaggle.com/kumareshd/caterpillar-tube-pricing/xgbooost-2/files on my computer I get different benchmark results, which are very off. Does anyone know why this is the case? Regards, Mahi",1,bronze,2,Mon Jul 27 2015 18:08:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15575,/competitions/machinery-tube-pricing,105th
/thewonz,Documentation Files Missing,"In ""documentation.zip"" there is ""ERDiagram.xlsx"", and on sheet ""Table relation diagram"" there are a list of files that are not included. I imagine these files provide more detail into the structure of each view and would be helpful. Can an admin provide these if they are available? File Name 01_DNLD_USER_LIST.xlsx 02_DNLS_COUPON_LIST.xlsx 03_DNLD_COUPON_DETAIL.xlsx 04_DNLD_COUPON_VISITS.xlsx 05_DNLD_COUPON_AREA.xlsx copy",2,bronze,1,Mon Jul 27 2015 20:12:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15576,/competitions/coupon-purchase-prediction,658th
/skipjack,Let's discuss UniqueID,"plot(tapply(eBayTrain$sold,floor(eBayTrain$UniqueID/100),mean),ylab=""sold ratio"",xlab=""UniqueID/100"") As we can see (attachment), there is some trend in sold ratio in respect to UniqueID. It seems that sold ratio increases from the beginning (UniqueID=10001) up to UniqueID=10300-10400, then decreases up to 11300-11400. After this point sold ratio increases a bit (up to 11600-11700) and then begin to decrease once more. My question: can this trend in sold ratio be explained by some relation between UniqueID and certain independent variables? Or this is more like that there is certain time dependency? It can be some kind of seasonality. What do you think: is UniqueID variable related to time? I.e. higher UniqueID always corresponds to later moment in time? Can we use somehow this trend to correct our eBayTest prognosis? It seems that at the beginning of eBayTest data this trend would continue to decrease up to some point and then would increase. Though I cannot guess the point of minimum where this trend would begin rising. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87196/2768/Rplot03.png",1,bronze,5,Mon Jul 27 2015 20:44:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15578,/competitions/15-071x-the-analytics-edge-summer-2015,98th
/jiweiliu,xgbooost 2,"hi, does anyone test the cv score of the leading script? Mine is only 0.5. Am I wrong here? Thank you very much.",1,bronze,7,Mon Jul 27 2015 23:41:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15580,None,None
/hallayang,Great competition!,"Thanks to Kaggle, California Healthcare Foundation and EyePACS for sponsoring an interesting and worthwhile competition. Barring very unusual re-shuffling of leaderboard scores, it looks like the machine learning scholar from the U.K. will win, using some sort of custom algorithm that pushes forward the state-of-the-art in deep learning. I look forward to learning more about it. It also appears that the winning algorithms have achieved the goal of generating ophthalmologist-level diagnoses, as in the computer-to-human disagreement appears similar to what I would expect of human-to-human disagreement. Overall this competition seems to have been a great success.",14,gold,6,Tue Jul 28 2015 00:26:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15581,/competitions/diabetic-retinopathy-detection,9th
/jeffreydf,Write-up of my competition experience,"Hi all, I had a lot of fun in this competition and learned quite a lot. I prepared some write-up of what I've learned at: [Link]:http://jeffreydf.github.io/diabetic-retinopathy-detection/. Feel free to let me know if something isn't clear enough or if you have any questions. :-) Best, Jeffrey",33,gold,3,Tue Jul 28 2015 02:06:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15585,/competitions/diabetic-retinopathy-detection,5th
/juliandewit,Manual screening vs algorithms - live confusion matrix,"Hello, As the competition progressed I became more and more convinced that automatic screening would really be very helpful. I've seen many cases where I'd think that the doctor made mistake. Of course I've also seen cases where the computer missed something. However I really do think both might complement eachother. My idea was to make some kind of collaboration site where we can discuss every eye in detail. To bad I could not find the time to really build it. However.. I did put a starter on github with a live confusion matrix. If you want to collaborate.. please join the project. But perhaps to also attract doctors the site should be a but more user friendly. So if anyone has ideas on how to do this.. Be my guest! [Link]:https://github.com/juliandewit/kaggle_retinopathy",3,bronze,3,Tue Jul 28 2015 02:25:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15586,/competitions/diabetic-retinopathy-detection,4th
/peternolan,Visualising your logistic model.,"I found the visreg package great to see what my logistic model looks like. Once you've installed the package, just type visreg(your_model) to see what each of the variables do.",2,bronze,1,Tue Jul 28 2015 03:29:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15588,/competitions/15-071x-the-analytics-edge-summer-2015,988th
/ilyakava,My Experience Writeup,Thanks Kaggle and fellow competitors! Here's a [Link]:http://ilyakava.tumblr.com/post/125230881527/my-1st-kaggle-convnet-getting-to-3rd-percentile. Looking forward to reading other people's experiences too!,22,gold,1,Tue Jul 28 2015 06:50:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15589,/competitions/diabetic-retinopathy-detection,20th
/shan4224,Approach,"Hi.. I am new in this skill set. This is my first participation. If anyone can share the approach in R ? Moreover the following is producing errors: img <- readPNG(print(paste0(Numfile,"".png""))) [1] ""2.png"" Error in readPNG(print(paste0(Numfile, "".png""))) : unable to open 2.png Thanks",0,None,3,Tue Jul 28 2015 08:50:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15590,/competitions/denoising-dirty-documents,None
/dineshml,warning with RF,"Hi, Getting following warning: rf01=randomForest(sold ~., data=train, method=""class"") Warning message: In data.row.names(row.names, rowsi, i) : some row.names duplicated: 2,3,4,5,6,7,8,9,10,11,12,… Initially had two more warnings (could remove it by applying factor to dependent variable and one more variable). If anyone knows the meaning of the warning, would be helpful! Thanks!",0,None,2,Tue Jul 28 2015 11:30:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15591,/competitions/15-071x-the-analytics-edge-summer-2015,1474th
/wildwizard,Good ressources for maths underneath it all?,"Hello I wanted to get a taste of this, just to know if I could understand the ideas in the challenge, but while I get the general principle, I feel stuck by the maths involved. In my course at University, we never went there, while we talked about the physics concepts. But I guess that all this stuff would be useful to make some progress. So please, does anyone know some good ressources about the kind of maths involved (Lagrangian, Hamiltonian and so on…)? Wikipedia is definitely not of any help here, as it was probably written by a mathematician for other math-headed people, and if you don't take the concepts in order/lack this kind of culture, it is not possible to get the thing. Thanks",2,bronze,5,Tue Jul 28 2015 13:48:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15593,/competitions/flavours-of-physics,None
/fchollet,How many real data points in the test set?,"As a I understand, the test set is a mix of test data and data from the control channel. What are the respective proportions? This information would be very useful to evaluate the reliability of the public leaderboard score. The variance of the weighted ROC AUC depends on how many actual data points it was computed on. I'm seeing significantly lower scores on the LB compared to local cross-validation, so I'm curious.",1,bronze,2,Tue Jul 28 2015 17:05:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15596,/competitions/flavours-of-physics,21st
/hyunjukim4820,cross validation error,"Hello, I have a cross validation error. set.seed(123) numFolds=trainControl(method=""cv"",number=5) cpGrid=expand.grid(.cp=seq(0.001,0.1,0.001)) train(sold~.,data=DescriptionWordsTrain,method=""rpart"",trCrontol=numFolds,tuneGrid=cpGrid) result is that…. Something is wrong; all the Accuracy metric values are missing: Accuracy Kappa Min. : NA Min. : NA 1st Qu.: NA 1st Qu.: NA Median : NA Median : NA Mean :NaN Mean :NaN 3rd Qu.: NA 3rd Qu.: NA Max. : NA Max. : NA NA's :100 NA's :100 Error in train.default(x, y, weights = w, …) : Stopping In addition: There were 26 warnings (use warnings() to see them) How can I get the best cp?",1,None,1,Tue Jul 28 2015 17:30:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15597,/competitions/15-071x-the-analytics-edge-summer-2015,1310th
/jaehan,2-fold CV vs. CV with more folds,"I think I've heard some people say here that they're doing 2-fold CV because the train/test split for this competition is 50/50. Is it such an important thing to choose the number of CV folds to approximate the train/test split? Can anyone explain the reasoning for that? I would think doing more CV folds is better (as long as you're willing to stomach the extra computational expense) since you will fit each fold with more data, closer in size to the entire train dataset you will be using for fitting your final model.",0,None,12,Tue Jul 28 2015 18:23:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15598,/competitions/liberty-mutual-group-property-inspection-prediction,22nd
/hmupakura,Looking for a partner(s),Any one interested in teaming up with me or incorporating me into their team?,0,None,3,Tue Jul 28 2015 19:40:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15599,/competitions/coupon-purchase-prediction,None
/kb0ard,Requesting a step by step tutorial on how submissions work,"Hello, I am new to data science and kaggle competitions, but not new to programming and APIs. I am having difficulty grasping the concept of submissions for competitions in general. Let me try to explain as concisely as possible by using a recent, expired, competition as an example: the ""Diabetic Retinopathy Detection"" challenge, using deep learning with convolutional neural networks. Once my model is trained and tested, I need to make a submission with the 53,576 retinal, test image names output into a .csv file, with the different, 0 to 4, labels to the right of the image names, made as predictions by my model. Kaggle is then supposed to judge the accuracy of my model based on this submission. Okay, so I get all of that. However, what I don't comprehend is what script am I supposed to use to test my model and have my model predict and assign those label predictions? The closest script I have found for this task is at this link: [Link]:https://github.com/hoytak/diabetic-retinopathy-code The script is: create_submission.py As far as I know, Hoyt Koepke, the programmer who made these scripts, was a competitor in the competition. So, I can't help but wonder, are competitors supposed to make their own scripts that process the testing images and their model's label predictions into the .csv file? If so, I can't seem to wrap my head around how the criterion of these competitions is standardized by kaggle. There seems to be too much ""wiggle"" room to ""tweak"" a script to ""help"" the model along with its predictions. In my opinion, this would be counter productive to purely judging the model. I hope my ignorance can be forgiven, I'm just rather confused on this submission concept. The process I get, for the most part. I'll just use Hoyt Koepke's script on my model. I have also looked at [Link]:https://www.kaggle.com/c/titanic for the beginner's intro as well. Yet, the same question arises when I observe the submission criterion on the titanic competition. Any clarification would be much appreciated, thanks in advance.",2,None,4,Tue Jul 28 2015 23:07:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15602,None,None
/igorpuzhai,data transformations and predictions,"I just realized that while I can convert variables to factors, add new variables etc. both in out train and test sets, any unseen data will not be converted accordingly. and you can't make predictions if the format of new data is not the same, can you? at least my randomForest model requires the newdata to be in the same format. if this is true, how can the models be graded? or does the system somehow transform the unseen data?",1,bronze,5,Wed Jul 29 2015 01:52:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15604,/competitions/15-071x-the-analytics-edge-summer-2015,16th
/rakhlin,Human performance on the competition data set?,"Kaggle update on LinkedIn claims that ""Winning models from [Link]:https://www.kaggle.com/CHCFNews Diabetic Retinopathy comp are on par with human performance!"" No further details provided. Has human performance score been already posted somewhere?",4,bronze,5,Wed Jul 29 2015 02:24:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15605,/competitions/diabetic-retinopathy-detection,131st
/jiweiliu,Congratulations!,Great contest! Congratulations to top players! To be honest I studied several previous winning solutions but still cannot figure out this one. I'm especially interested in the sampling and quick validation strategies. Thank you all in advance.,3,bronze,19,Wed Jul 29 2015 02:28:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15606,/competitions/avito-context-ad-clicks,51st
/cavaunpeu,Looking for a teammate,".3825 on public LB, and a ~.405 locally which I'm pretty confident in. Any takers? I'm in NYC and we can work via Google Hangouts/BitBucket. I've a repo set up already. PM me!",0,None,13,Wed Jul 29 2015 02:45:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15607,/competitions/liberty-mutual-group-property-inspection-prediction,812th
/inspector,Train/Test Split Large Gini ....Low LB,"I am curious if anyone knows what issue I may be experiencing here. Doing a train/test split (regardless of the test size) I get a normalized Gini of between 0.56 and 0.68. Clearly this doesnt hold up on the true test set. I am not sure why this is occurring. Bug somewhere? from __future__ import division import numpy as np import pandas as pd from scipy.stats import randint, uniform #sklearn from sklearn.cross_validation import StratifiedKFold, KFold, ShuffleSplit,train_test_split from sklearn.ensemble import RandomForestRegressor , ExtraTreesRegressor, GradientBoostingRegressor from sklearn.linear_model import LinearRegression from sklearn.feature_extraction import DictVectorizer as DV from sklearn import metrics from sklearn.preprocessing import StandardScaler from sklearn.grid_search import GridSearchCV,RandomizedSearchCV from sklearn.ensemble import RandomForestRegressor, ExtraTreesRegressor from sklearn.metrics import mean_squared_error #xgboost import sys sys.path.append('/home/anaconda/lib/python2.7/site-packages/xgboost-master/wrapper') import xgboost as xgb def main(): def gini(solution, submission): df = zip(solution, submission) df = sorted(df, key=lambda x: (x[1],x[0]), reverse=True) rand = [float(i+1)/float(len(df)) for i in range(len(df))] totalPos = float(sum([x[0] for x in df])) cumPosFound = [df[0][0]] for i in range(1,len(df)): cumPosFound.append(cumPosFound[len(cumPosFound)-1] + df[i][0]) Lorentz = [float(x)/totalPos for x in cumPosFound] Gini = [Lorentz[i]-rand[i] for i in range(len(df))] return sum(Gini) def normalized_gini(solution, submission): normalized_gini = gini(solution, submission)/gini(solution, solution) return normalized_gini #load data dat=pd.read_table('/home/Desktop/Data/Kaggle/liberty/train.csv',sep="","") dat.reindex(np.random.permutation(dat.index)) y=dat[['Hazard']].astype('float32') dat=dat.drop(['Hazard','Id'],axis=1) folds=train_test_split(range(y.shape[0]),test_size=0.1) TRAINX=dat.iloc[folds[0],:] TRAINy=y.iloc[folds[0],:] TESTX=dat.iloc[folds[1],:] TESTy=y.iloc[folds[1],:] dat_dict=TRAINX.reset_index().T.to_dict().values() vectorizer = DV( sparse = False ) vectorizer.fit( dat_dict ) TRAINX = vectorizer.transform( dat_dict ) dat_dict=TESTX.reset_index().T.to_dict().values() TESTX = vectorizer.transform( dat_dict ) xgbMod=xgb.XGBRegressor(max_depth=3, n_estimators=50) xgbMod.fit(TRAINX,TRAINy.values.ravel()) y_submission=xgbMod.predict(TESTX) print ""Validation Sample Score: %.10f (normalized gini)."" % (normalized_gini(TESTy.values.ravel(),np.around(y_submission))) if __name__ == ""__main__"": main() copy",0,None,12,Wed Jul 29 2015 03:18:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15608,/competitions/liberty-mutual-group-property-inspection-prediction,1570th
/chipmonkey,Still Validating?,"I guess it doesn't really matter, but this competition is still ""Validating"" the final rankings according to my profile. Is that always the case for ""Knowledge"" competitions? Or just low priority? Just curious!",1,bronze,2,Wed Jul 29 2015 03:35:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15609,/competitions/billion-word-imputation,17th
/snowfire,"Error in Submission: Column 'Probability1.0' was not expected (Line 1, Column 12) Column 'Probability1.1' was not expected (Line 1, Column 29) Required column 'Probability1' could not be found","I have created a CART model on a dataset that has gone through the BoW procedure. I was able to create the predicted data frame and write it to the csv file as shown in the sample script. I tried both - pasting and manually typing - the fields needed in the submission file, namely UniqueID and Probability1. In all my previous submissions, I didn't face this issue but all of a sudden I am not able to submit the file because I keep getting this upon hitting the submit button on the submission page - Column 'Probability1.0' was not expected (Line 1, Column 12) Column 'Probability1.1' was not expected (Line 1, Column 29) Required column 'Probability1' could not be found I have attached screenshots of the error and the lines I wrote for creating the submission file. Please let me know soon where am I making mistake so that I can proceed further and not lose on the 2 submissions allotted. Thank you for your time and patience! :) Pratik [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87368/2772/Screen Shot 2015-07-28 at 6.33.03 PM.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87368/2773/Screen Shot 2015-07-28 at 6.41.30 PM.png",0,None,3,Wed Jul 29 2015 03:42:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15610,/competitions/15-071x-the-analytics-edge-summer-2015,1198th
/abednadir,Loading your own data set into scripts,"is there any way to load in a data set from our PC? Can I change this directory? train = pd.read_csv('../input/train.csv', index_col=0) test = pd.read_csv('../input/test.csv', index_col=0)",0,None,4,Wed Jul 29 2015 03:44:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15611,/competitions/liberty-mutual-group-property-inspection-prediction,45th
/skirpichenko,Optimal submission rate,I remember D&L got 0.04015 score and lead the board several hours before the end of competition. The final check moved them down by 2 positions but leave Owen with the same score and give him a win. The obvious difference between them is the number of submissions (131 for D&L and 20 for Owen). Doesn't that mean that you are at risk of over-fitting when making many submissions and relying on it? What is the optimal rate of submission? I made only few submissions but my final score is also 20 point less then before. Has anybody improved on final check?,0,None,1,Wed Jul 29 2015 05:53:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15612,/competitions/avito-context-ad-clicks,12th
/nishio,Should I distinguish same COUPON_ID and different SMALL_AREA_NAME coupons,"I found a row in coupon_list_test.csv whose COUPON_ID_hash == 'c76ea297ebd3a5a4d3bf9f75269f66fa', and two rows in coupon_area_test.csv which has same COUPON_ID_hash. Their SMALL_AREA_NAME is different. For concise let me call those as couponX, couponX@A and couponX@B Both coupon_list_test.csv and coupon_area_test.csv have SMALL_AREA_NAME column. The SMALL_AREA_NAME of couponX is A. We have to predict whether each user buy couponX. Does it mean couponX@A only or both couponX@A and couponX@B?",2,bronze,2,Wed Jul 29 2015 08:43:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15613,/competitions/coupon-purchase-prediction,None
/cristobal,Random forest benchmark,"I am attempting my first Kaggle competition and have written the attached Python script to try and replicate the random forest benchmark. However, I get a score of approximately 0.15 vs the benchmark of 0.30. I was wondering why I was so far from the benchmark (not I am unfamiliar with R)? Has the benchmark already optimized the algorithm, manipulated the data in a specific way…? Thank you! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87396/2775/randomForest.py",0,None,5,Wed Jul 29 2015 11:36:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15614,/competitions/liberty-mutual-group-property-inspection-prediction,1673rd
/remap1,Any user parameter blows up the model?,"Congrats to those who won. So I was cursed in this competition for some reason; my validation score blew up when I used anything related to a user. This is no longer relevant for the competition, but I'd really like to know what I did wrong for such a basic issue. I had training data lines like this: -1 1 |u u1:570979 u2:4159 u3:63 u4:3 u5:3566 u6:0 u7:53 |a a8:16904117 a9:7 a10:38 a11:3 a12:41511.0 |s s13:131 s14:190 s15:-1 s16:-1 |b b18:2 b19:26 |c c21:26 c22:18 c23:1 |h h24:0.002913 copy |u are things from the userinfo table, |a adsinfo data, |s day/hour/city/region, |b ad statistics, |c user statistics, |h histctr. The user statistics are not directly statistically related; c21 is a representation of the click through rate adjusted for users that have really small numbers of clicks using an algorithm similar to a wilson score. Low number of clicks keep the user as ""average"" and anything >10 already distinguishes this user from others. c22 is simply the number of days the user prowls the site. c23 is only used to figure out if a user appears in the trainstream or not. I could selectively disable any feature. Without |c features (user), I got cv results that approximated what I got on the LB, but huge differences when any user feature got activated. I only used FTRL. Example: without user features c21 and c22: training: 0.035, cv: 0.046, LB: 0.045 with user features c21 and c22: training: 0.029, cv: 0.038, LB: 0.061 Training data was sorted by date, then hour. The exact same code for training, validation and test got used each time. From the entire training set, I collected impressions for every user and stored them separately for every user. Then when the day was finished, I wrote the last two impressions for every user to validation and everything else to the remainder of the training set. Does anyone spot an obvious flaw in this strategy? Have you been able to use any user features directly without suffering a similar issue? What did you change to the model and learning to be able to use them? EDIT: changed b18/19 -> c21/22",0,None,1,Wed Jul 29 2015 13:39:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15615,/competitions/avito-context-ad-clicks,64th
/masber,How do you make 2 different models to work together?,I have seen some comments int thins forum advising to use glm + RF models. Could someone please explain how to do it? thanks,0,None,2,Wed Jul 29 2015 15:03:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15616,/competitions/15-071x-the-analytics-edge-summer-2015,236th
/sveitser,Team o_O Solution Summary,"First I'd like to thank team mate Stephan, the hosts and everyone else who joined and congratulate the other winners! Below is a brief solution summary while things are fresh before we get time to do a proper writeup and publish our code. Team o_O Solution Summary Neural networks trained using [Link]:https://github.com/Lasagne/Lasagne and [Link]:https://github.com/dnouri/nolearn. Both libraries are awesome, well documented and easy to get started with. A lot of inspiration and some code was taken from winners of the national data science bowl competition. Thanks! [Link]:https://github.com/benanne/kaggle-ndsb: data augmentation, RMS pooling, pseudo random augmentation averaging (used for feature extraction here) [Link]:https://www.kaggle.com/c/datasciencebowl/forums/t/13166/happy-lantern-festival-report-and-code Capacity and coverage analysis of conv nets (it's built into nolearn) Preprocessing We selected the smallest rectangle that contained the entire eye. When this didn't work well (dark images) or the image was already almost a square we defaulted to selecting the center square. Resized to 512, 256, 128 pixel squares. Before the data augmentation we scaled each channel to have zero mean and unit variance. Augmentation 360 degrees rotation, translation, scaling, stretching (all uniform) Krizhevsky color augmentation (gaussian) These augmentations were always applied. Network Configurations net A | net B units filter stride size | filter stride size 1 Input 448 | 4 448 2 Conv 32 5 2 224 | 4 2 224 3 Conv 32 3 224 | 4 225 4 MaxPool 3 2 111 | 3 2 112 5 Conv 64 5 2 56 | 4 2 56 6 Conv 64 3 56 | 4 57 7 Conv 64 3 56 | 4 56 8 MaxPool 3 2 27 | 3 2 27 9 Conv 128 3 27 | 4 28 10 Conv 128 3 27 | 4 27 11 Conv 128 3 27 | 4 28 12 MaxPool 3 2 13 | 3 2 13 13 Conv 256 3 13 | 4 14 14 Conv 256 3 13 | 4 13 15 Conv 256 3 13 | 4 14 16 MaxPool 3 2 6 | 3 2 6 17 Conv 512 3 6 | 4 5 18 Conv 512 3 6 | n/a n/a 19 RMSPool 3 3 2 | 3 2 2 20 Dropout 21 Dense 1024 22 Maxout 512 23 Dropout 24 Dense 1024 25 Maxout 512 copy Leaky (0.01) rectifier units following each conv and dense layer. L2 weight decay factor 0.0005 Mean squared error objective. Untied biases. Training We used 10% of the patients as validation set. 128 px images -> layers 1 - 11 and 20 to 25. 256 px images -> layers 1 - 15 and 20 to 25. Weights of layer 1 - 11 initialized with weights from above. 512 px images -> all layers. Weights of layers 1 - 15 initialized with weights from above. Training started with resampling such that all classes were present in equal fractions. We then gradually decreased the balancing after each epoch to arrive at final ""resampling weights"" of 1 for class 0 and 2 for the other classes. Nesterov momentum (0.9) with fixed learning rate schedule over 250 epochs. epoch 0: 0.003 epoch 150: 0.0003 epoch 220: 0.00003 For the nets for 256 and 128 pixels images we stopped training already after 200 epochs. Models were trained on a GTX 970 and a GTX 980Ti (highly recommended) with batch sizes small enough to fit into memory (usually 24 to 48 for the large networks and 128 for the smaller ones). ""Per Patient"" Blend Extracted mean and standard deviation of RMSPool layer for 50 pseudo random augmentations for three sets of weights (best validation score, best kappa, final weights) for net A and B. For each eye (or patient) used the following as input features for blending, [this_eye_mean, other_eye_mean, this_eye_stddev, other_eye_stddev, left_eye_indicator] copy We standardized all features to have zero mean and unit variance and used them to train a network of shape, Input 8193 Dense 32 Maxout 16 Dense 32 Maxout 16 copy L1 regularization (2e-5) on the first layer and L2 regularization (0.005) everywhere. [Link]:http://arxiv.org/abs/1412.6980 with fixed learning rate schedule over 100 epochs. epoch 0: 5e-4 epoch 60: 5e-5 epoch 80: 5e-6 epoch 90: 5e-7 Mean squared error objective. Batches of size 128, replace batch with probability 0.2 with batch sampled such that classes are balanced 0.5 with batch sampled uniformly from all images (shuffled) The mean output of the six blend networks (conv nets A and B, 3 sets of weights each) was then thresholded at [0.5, 1.5, 2.5, 3.5] to get integer levels for submission. Notes I just noticed that we achieved a slightly higher private LB score for a submission where we optimized the thresholds on the validation set to maximize kappa. But this didn't work as well on the public LB and we didn't pursue it any further or select it for scoring at the end. When using very leaky (0.33) rectifier units we managed to train the networks for 512 px images directly and the MSE and kappa score were comparable with what we achieved with leaky rectifiers. However after blending the features for each patients over pseudo random augmentations the validation and LB kappa were never quite as good as what we obtained with leaky rectifier units and initialization from smaller nets. We went back to using 0.01 leaky rectifiers afterwards and gave up on training the larger networks from scratch.",44,gold,Team o_O Solution Summary,Wed Jul 29 2015 16:34:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15617,/competitions/diabetic-retinopathy-detection,2nd
/pawb63,Combining Variable Values,"Under the variable of ""condition"", there are similar values: ""Manufacturer refurbished"" and ""Seller refurbished"" ""New other (see details)"" and ""New"" Is there a way to combine these four values into two values (e.g. Refurbished and New)? Perhaps, the ""productline"" could have some its values combined (e.g. there is only one iPad 5 and only eight iPad mini Retina models for sale). Thanks.",0,None,6,Wed Jul 29 2015 16:40:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15618,/competitions/15-071x-the-analytics-edge-summer-2015,1730th
/rocelot,Comments about Nominal Ordinal Script,"A couple things I've noticed about the nominal ordinal script: They are not reproducible because most people do not set the random seed when creating. Selecting the first 5000 rows for the validation set seems arbitrary, shouldn't we be choosing a balanced random sub sample of rows ? The current leading script trains model A on the data as is, then reverses the data set and trains model B on the log of the hazard rate (good trick). The resulting weighting of A + B seems arbitrary, and due to the fact that the random seed has not been set performance is probably a random effect. I think these issues combined will lead the this script performing very poorly at the end of the competition.",1,bronze,5,Wed Jul 29 2015 17:28:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15619,/competitions/liberty-mutual-group-property-inspection-prediction,41st
/domcastro,uGBFL,"Hi, you need to change tau_data… to /input/train.csv",2,bronze,4,Wed Jul 29 2015 17:33:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15620,None,None
/chaikothari,Anyone using big data methodology to get recommendation?,"Hey all, I have used recommenderlab in R (you can view my script in the scripts section) in order to create recommendations. However, recommending coupons for 20k+ users has been taking hell lot of a time. I am new to R and big data and would really appreciate if someone could guide me about having to use my code with some big data methodology. Would really appreciate some inputs. Best, Chai",1,None,2,Wed Jul 29 2015 20:01:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15622,/competitions/coupon-purchase-prediction,557th
/snowfire,Cross Validation finishes and then prediction fails,"Hello everyone, I was trying Cross validation on the training set after applying the Bag of Words on the textual field description. The CV (cross-validation) steps run fine but I get a warning (Fig 1) when I train. Then if I simply display the output (Fig 2), I can see it the way it was shown in the tutorial so I thought it went just fine. However, if I extract the best tree and use it to do the prediction, it fails and gives me an error (Fig 3). I am a newbie here and I would appreciate if you could explain what and where am I going wrong. Thank you for your time and patience. Pratik :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87470/2776/Fig 1.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87470/2777/Fig 3.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/87470/2778/Fig 2.png",0,None,2,Wed Jul 29 2015 20:30:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15623,/competitions/15-071x-the-analytics-edge-summer-2015,1198th
/carloshuertas,Single vs Team Ranking,"The Kaggle ranking system always reminds me as how the [Link]:https://en.wikipedia.org/wiki/ATP_Rankings works, the current ranking scheme seems fair in the sense that all of us are ranked the same way, and that's fine. However, if we want to use the Kaggle ranking for something more serious (employment?) I think it falls a bit short. The current ranking scheme gives more points to teams, e.g., a 2-users-team ranked 20 of 1000 gets around 8,985 points, whether a 3-user-team ranked exactly the same 20 of 1000 gets 11,004 points. The exact same performance 20/1000 for a single user will award 6,354 which is 30% and 42% less respectively. When we compare only one competition, the current ranking works flawless as each user in a team gets only a slice of the points, however, this do not change the fact that teams get more points. Should not be useful (more meaningful?) to have single and team rankings? that way each ranking would draw points from the same distribution.",1,bronze,3,Wed Jul 29 2015 22:54:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15627,None,None
/apaszke,Uneven lengths of events?,"Is it just me or there is something wrong with the subj7_series8_events.csv? I was getting some errors in my scripts because there seems to be much more ones in the second column than in the fourth. You can check it yourself with awk: awk -F, 'BEGIN{ cta = 0; ctb = 0 } { if ($4 > 0) { cta += 1 }; if ($2 > 0) { ctb += 1 } } END{ print cta, ctb }' subj7_series8_events.csv I'm getting the following output: 4528 5101 Which is not only strange because the numbers are so different, but also they aren't divisible by 150. Did anybody had such problems too? Have I missed something in the description?",1,bronze,2,Wed Jul 29 2015 22:58:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15628,/competitions/grasp-and-lift-eeg-detection,None
/akhmetov,[Deleted Kernel],"Andy, please a couple wrods, what is this part for: for (i in 1:nrow(makeup)){ more_features <- TRUE TA_features[i,1] <- toString(makeup[i,1]) tcol <- 1 mcol <- 2 no_features <- dim(c_features)[2] while(more_features) { frow <- which(c_features[,1] == toString(makeup[i,mcol])) if (length(frow) > 0) { for (j in 1:no_features) { TA_features[i,tcol+j] <- toString(c_features[frow,j]) } TA_features[i,tcol+no_features+1] <- toString(makeup[i,mcol+1]) } more_features <- (!is.na(makeup[i,mcol+2]) && !(mcol+2 > ncol(makeup))) mcol <- mcol + 2 tcol <- tcol + no_features + 1 } } copy",0,None,11,Wed Jul 29 2015 23:32:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15629,None,None
/benhamner,Flatness Boosting Example,"I've added the hep_ml library to Kaggle Scripts, and added this example. It scores 0.979520 on the public leaderboard. It's a trained using parameters from [Link]:https://github.com/yandexdataschool/flavours-of-physics-start/blob/master/flatness_boosting.ipynb. Note the hep_ml API has evolved since the starter kit has published (the version on Kaggle is the current version, and this script reflects the API changes accordingly).",5,bronze,2,Thu Jul 30 2015 00:16:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15630,None,None
/bobalv,Critique of study design,"Because there are a lot of beginners who want to use this competition to learn about data science and medical image analysis, I think a critique of it as a scientific study is needed. I have a background in medical imaging and have published many papers in the field and also directed a research project on computer-aided diagnosis (CAD). I think the study design has very serious problems and here are my reasons. The gold standard: According to the Data page, the goal is ""to create an automated analysis system capable of assigning a score based on this scale."" The scale, that is, the gold standard of the study, was a clinician's rating on a scale from 0 to 4. The gold standard is the most important part of the study. If the gold standard is not reliable, then the results of the study are meaningless. You may claim that the standard is what it is and an algorithm to replicate it has some use. But that is like claiming that replicating astrological forecasts is useful. The strongest gold standard is based on objective, reproducible evidence. For example, if you are reading chest x-ray images to detect a lung nodule, the strongest standard is a direct biopsy that extracts the nodule. The next strongest is a more accurate examination that may be more expensive and/or invasive than the one you are studying: in the case of the lung nodules a thoracic computed tomography scan or for diabetic retinopathy, perhaps an optical coherence tomography scan. The next weakest gold standard is a panel of experts who diagnose your images and you combine their readings by averaging or majority vote for example. These are obviously subjective and in my experience there can be a huge difference between different experts and experts at different institutions. By far the weakest is the one used in this study; a single expert. This is almost totally subjective and worse there seems to have been no or little effort to spot check or do any quality assurance on the readings. For example, see my post on this forum on unexplainable ratings for blank or garbage images. The rating scale: The study forces the rating to be one of the five levels 0 to 4. There is no ""not rated"" level for images that are too poor quality for a reliable diagnosis. In medical imaging you always need this option because it is unfair to the patient to provide a rating on a non-diagnostic quality image. If you rate unacceptable images as 0 you give the patient a false result if there is indeed disease. A rating of disease may lead to unnecessary and possible harmful additional tests. The image database: A good aspect of the study is the very large number of images. Unfortunately, this was achieved by combining images from many different sources some of which seemed to have poor quality. The medical system is analogous to a manufacturing process where you take images of the patients, process them through the system and produce a diagnosis. Any manufacturing engineer will tell you that you achieve the most reliable results by standardizing the inputs. The study takes the opposite approach and tries to make the medical system compensate for variations in inputs. I think this is a mistake. The contest organizers shrug off image quality by saying: Like any real-world data set, you will encounter noise in both the images and labels. Images may contain artifacts, be out of focus, underexposed, or overexposed. A major aim of this competition is to develop robust algorithms that can function in the presence of noise and variation. I disagree with this approach. I have spent a large amount of effort trying to compensate for poor image quality with software and I am sorry to say most of this effort was wasted. Companies that put their efforts into improving the image acquisition hardware and method instead of compensating for it with software always came out ahead. As an example, consider the Hubbell space telescope. You may recall that due to a monumental screw-up when the first images were made it was discovered that the main mirror focal length was incorrect resulting in blurred images. Image blur is very well understood with excellent mathematical models of its effects and many algorithms have been developed to ""de-blur"" images. Also NASA had unlimited computing power available to process the images. But they recognized that this would not provide the image quality required for their research so they risked the lives of astronauts and spent hundreds of millions of dollars to fly a mission to the satellite to replace the mirror. The image database used JPEG compressed data. The use of a lossy data compression algorithm like JPEG, which was designed to produce visually pleasing snapshots of people, would not be acceptable in other areas of medical imaging. The cost of data storage is so low that I do not think there is a justification for using lossy compression of medical data. If as a data analyst you are faced with poor quality data your first job is to improve the data acquisition. If your employer refuses to do this then let them know that this will severely impact the output. If they still refuse to improve it, consider going somewhere else because you will almost certainly get the blame when the project fails. Other data: An advantage of computer-aided methods over human observers is the ability to handle additional data. In a study such as this one, something as simple as knowing the make and model of the camera hardware can improve the results dramatically. In addition, having the age, sex, fasting blood glucose level, BMI of the patient and so on could lead to much more reliable results. Part of the job of a data analyst is to get as much relevant data as you can particularly if it is already available on some other database as these patient data almost certainly are. Conclusion: I applaud the organizers for producing this contest that introduced many data analysts to medical image analysis. I think it is an important area that can benefit from the application of advanced data analysis techniques. However, beginners should be aware of the study limitations so they can improve their chances of success if they decide to continue with the field.",3,bronze,6,Thu Jul 30 2015 00:58:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15631,/competitions/diabetic-retinopathy-detection,None
/agr4000,"How to assign NAs to a value, how to create new variables?","Hello, I need help for the following, (this is my first time in using R) : How to assign a value to NAs. How to divide the productline variable, I currently I have it as a factor, into different variables for each product line. If you can point me where in the course we cover these topics I will really appreciate it.",0,None,1,Thu Jul 30 2015 01:48:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15632,/competitions/15-071x-the-analytics-edge-summer-2015,1217th
/trevorstephens,Got a poster for us?,The Higgs comp's one was a on my desktop background for the duration of the comp and probably a month or two after it ended :-) [Link]:http://higgsml.lal.in2p3.fr/documentation/poster/,2,bronze,2,Thu Jul 30 2015 04:20:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15633,/competitions/flavours-of-physics,None
/sairaviteja,Unique values in a row,How to find unique valuse in row of a pandas data frame. I am trying to engineer new features to the data set but couldn't find an efficient method to find number of unique values in row,0,None,1,Thu Jul 30 2015 05:51:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15635,/competitions/liberty-mutual-group-property-inspection-prediction,178th
/codebender,Percentage of natives across the US,"Anyone out there know of an easy way to add Alaska & Hawaii to my map? I created my first R map yesterday, so I'm still n00b status for some of this. :-)",2,bronze,1,Thu Jul 30 2015 07:12:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15636,None,None
/neil90,Bag of Words,What sparisty percentage do you guys find your self using for the Bag of Words? I have found using Bag of Words not useful at all in building my model :/,0,None,8,Thu Jul 30 2015 07:27:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15638,/competitions/15-071x-the-analytics-edge-summer-2015,307th
/dpttal,Order of Independent Variables in RandomForest,"I am observing that the order in which the independent variables are added in the randomForest formula impacts the AUC. The order does not matter for Logistical regression, which is understandable. I do not understand why order of independent variables should impact RF. I see the AUC swing substantially if I move one variable left or right. After I have decided a set of independent variables, how can I get the optimal order in which to enter it in the randomForest formula? Does anyone know? Thanks",1,None,6,Thu Jul 30 2015 08:52:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15639,/competitions/15-071x-the-analytics-edge-summer-2015,1028th
/blumaumau,big discrepancy between train- and test-result quality,"Hi, I'm really wondering if there is a hidden difference between train- and test-data: I tried several approaches (GLM, bag-of-words, RF, hClust and combinations thereof). And the funny (or better: not at all funny) result is: The better my predictions seem on the training dataset, the worse is my score on submission. A few examples: accuracy of train | test/submission 0.82 | 0.76 0.84 | 0.78 0.86 | 0.73 0.93 | 0.65 I'm totally confused as to why that is. The combined approaches (clustering/splitting data and running separate GLMs on the chunks) give really high accuracy values on the training data. But whatever I try - the fact remains: The higher my training data acuracy is, the worse gets my submission score. I did use the combined data (train+test) for clustering/splitting before modelling. I also checked, that the element count and factor distribution is comparable between training and test data I used small, medium and large amount of clusters Seeing people scoring >0.85 I'm thinking there is a hidden difference between training and test data, which I haven't found but the ""0.85+ club"" has. Anyone willing to give me a directional hint? I think I'm on the totally wrong path to solve this problem…",2,bronze,8,Thu Jul 30 2015 08:52:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15640,/competitions/15-071x-the-analytics-edge-summer-2015,1709th
/vivek2121,Submission taking lot of time,I don't know why but my submissions are taking a lot of time. The zip file gets uploaded but kaggle takes over 4 hours to calculate my ranking. Has anyone else faced this? Thank you in advance!!,0,None,2,Thu Jul 30 2015 11:52:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15641,/competitions/sf-crime,1499th
/,[Deleted Kernel],,0,None,2,Thu Jul 30 2015 13:37:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15642,None,None
/naveenkaveti,Research Papers,Can anyone suggest research papers on content based recommendation systems. Thanks in advance. Naveen.,0,None,4,Thu Jul 30 2015 14:50:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15643,/competitions/coupon-purchase-prediction,669th
/mmucha,Data for the correlation test,"The 'Data:check_correlation.csv' section states: ""This dataset contains only real background events (…)"" The actual correlation test is performed on the data from test.csv. Is it performed on: (a) the whole data? (b) only the data in test.csv that corresponds to real background events (i.e. excluding simulated signal and control channel)? (c) other option? Thanks Marcin",0,None,1,Thu Jul 30 2015 15:50:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15644,/competitions/flavours-of-physics,550th
/jmoney8807,MemoryError,"Hello Everyone, I just wanted to point out that if you are following the tutorial with Python, you should beware of converting the train/test arrays to numpy array objects(in Part 1). Each one of these calls seems to use up about 1GB of RAM and causes MemoryError. In particular, beware of these two lines of code: # Numpy arrays are easy to work with, so convert the result to an array train_data_features = train_data_features.toarray() test_data_features = test_data_features.toarray() I am running Windows 7 64-bit with Python 2.7 32-bit",1,bronze,5,Thu Jul 30 2015 17:27:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15646,/competitions/word2vec-nlp-tutorial,None
/kumareshd,RF + XGBoost + keras + flatline,Do you have any other methods left for ensemble??? :D,0,None,8,Thu Jul 30 2015 17:39:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15647,None,None
/tifaccio,"quantity, headache and more","diving through the ocean of data i just would like to share these thoughts: there are some cost infos in train_set with the following style: anual quantity: 200; minimum order: 2; bracket_pricing: no; If i want to calculate something out of price and quantity, i am taking the following into consideration: The supplier may produce these assemblies in batches of 25 parts and put the parts not ordered into it's own warehouse. The supplier is quoting for orders of 20 parts (as there are costs for storage and capital). At the beginning, we have no idea about the ""virtual batch size"", later down the road at least for some suppliers it's possible to calculate this batch size, which is between annual quantity and minimum order .",1,None,4,Thu Jul 30 2015 18:21:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15648,/competitions/machinery-tube-pricing,1263rd
/anmoltrakru," arguments imply differing number of rows: 798, 558 HELP","MySubmission=data.frame(UniqueID=ebaytest$UniqueID,Probability1=predtest) Error in data.frame(UniqueID = ebaytest$UniqueID, Probability1 = predtest) : arguments imply differing number of rows: 798, 558",0,None,10,Thu Jul 30 2015 19:11:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15650,/competitions/15-071x-the-analytics-edge-summer-2015,1875th
/tsgpeeps,how to extract prediction value and id number,"I ran hclust and then glm (family = binomial) and predict with (type=response), my predictclust1 has the form str(predictclust1) Named num [1:271] 2.80e-01 9.21e-01 5.63e-01 3.77e-01 6.39e-08 … attr(*, ""names"")= chr [1:271] ""1"" ""10"" ""21"" ""23"" … I don't know how to pull out the prob. with the id, I know how to use rbind and order to get them correct, but don't know how to get into a format that I can use rbind with. Any hint would be appreciated.",0,None,1,Thu Jul 30 2015 19:37:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15652,/competitions/15-071x-the-analytics-edge-summer-2015,1224th
/hikerclimb,Questions,coupon_list_train.csv 1) what is DISPFROM(SalesEndDate)? 2) What is the difference between DISPFROM and DISPEND vs valid from and valid end? 3) What does 0 and 1 mean for variable usable date monday? coupon_visit_train 1)What is referrer hash? 2) Is a coupon purchased before you buy item? Thanks!,0,None,1,Thu Jul 30 2015 20:09:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15653,/competitions/coupon-purchase-prediction,None
/iglovikov,Could you please help me to start with this competition?,"Hello everyone, I think I got some understanding of how does supervised learning work, but semi-supervised learning is new to me. You are experts here, so could you please point me at: Previous competitions that we similar to this one. Some nice educational videos. May be some online classes at edX or Coursera. Some introductory books, blog posts related to this topic. Software that you use. Both information about theory and examples will be useful to me. Thank you. Vladimir",0,None,1,Thu Jul 30 2015 20:20:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15654,/competitions/icdm-2015-drawbridge-cross-device-connections,22nd
/smcinerney,factorToNumeric,"I would rename this ""summary.factor"" or summary stats for a factor, since it doesn't do what the names suggests it does - the taboo coercion of as.numeric on a factor then throwing that into a numeric model like lm. You are using summary stats (mean, sd, skewness) for each factor as features. This assumes the factor is ordinal, and maybe also interval. Whether that's true depends on each (anonymized) factor. [Link]:http://www.ats.ucla.edu/stat/mult_pkg/whatstat/nominal_ordinal_interval.htm on doing that. You might like to look at measures of association for a factor, as in the DescTools package.",3,bronze,10,Thu Jul 30 2015 22:04:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15655,None,None
/ajoo88,Low freq 0.80+ refactored,Cleaned up the code a bit. Didn't change the features other than a few small corrections: Filters are applied to each series independently instead of the whole concatenated sequence (which might be problematic given that the filters are very low frequency and therefore previous series data would influence the filtered output of the next one for quite some time); Changed the way StandardScaler is applied. The mean and std of the features computed for the training data is saved and used to normalize the test data. Also took out the classifiers on differently downsampled versions of the data. Figured it is probably better to simply downsample less in terms of the variance of the estimator than this poor man's version of boosting that was being done. Ended up only leaving Log. Reg. since it performed better and is similar enough to LDA that I don't think the gain of ensembling both is warranted.,1,bronze,12,Thu Jul 30 2015 22:40:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15656,None,None
/cavaunpeu,Local validation,Anybody figure this one out?,1,bronze,3,Thu Jul 30 2015 23:18:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15659,/competitions/coupon-purchase-prediction,704th
/anydatasoftware,Flow Generic HyperCube Database / Automation Engine > R?,"My team and I have spent the past four years developing a system called Flow. It was written from the ground up in c++ to be the most complete and powerful data science framework and data automation engine. It's essentially a high level abstraction of a programming language. Almost any data science solution you're scripting in R or Python can be done in the system faster and with more power. To that note, we have a parallel processing architecture called the agent framework which rivals Hadoops dfs. [Link]:https://www.youtube.com/watch?v=nv4F9tOabwU Would love any feedback or questions! [Link]:https://flow-app.com",0,None,5,Fri Jul 31 2015 00:59:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15664,None,None
/igorpuzhai,amazing glm score - overfitting?,"okay, I just scored 0.85624 on public leaderboard with a logistic model and frankly, I am amazed and surprised. can such values even be normal with glm? I suspected that highest results are either random forests or some voodoo methods out of scope of the course. could this be overfitting? should I be worried about the final, post-competition results? just a few moments before this attempt I submitted another one, which scored even better on the training set locally, but on the leaderboard it got only 0.83911. I expected that one to be poor in reality since one of the custom variables was created by pure accident (meant to write one thing, wrote another, saw freak results) and made no sense.",0,None,7,Fri Jul 31 2015 01:08:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15665,/competitions/15-071x-the-analytics-edge-summer-2015,16th
/benhamner,Scripts Enabled on Diabetic Retinopathy,"Scripts is now enabled on this competition! We hope you use this environment to share samples of preprocessing code and training code that you used in this competition, as well as examples of how the preprocessing code transformed the images. You won’t be able to create submissions from this data, since it doesn’t include any test data.",1,bronze,1,Fri Jul 31 2015 01:39:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15666,None,None
/heisenbug,Order of Users in submission file important?,"Hi, The order of users in the submission file differs from the order in the user file. Can I submit users in any order in submission file?",1,bronze,1,Fri Jul 31 2015 04:45:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15667,/competitions/coupon-purchase-prediction,741st
/alexxanderlarko,H2O GBM benchmark,"Hi all, score LB =0.349473",2,bronze,3,Fri Jul 31 2015 06:20:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15669,None,None
/doniabee,Settling this Dependent Variable Issue Once and For All !!,"hello people, guess you have been enjoying the competition? For me (and perhaps others), this issue of different training and testing sets has been a major major challenge. in not ONE single lecture was an example given where the test data set did not have the dependent variable. Predictions using CART, GLM or RF model depend on this. Without the dependent variable, ALL SORTS OF ERRORS pop up here and there. it is impossible to even get an accuracy value using the table function. I have also done a lot of work with the levels(), with very little progress, not sure it even makes a difference. For a newbie like me, it has been TRIAL and ERROR on something I Don't understand at all. While some of you might suggest trying Google, the syntax on there is just unwieldy and does not address the issue directly and is definitely not for first timers. Not to mention the advanced techniques some of you suggest. So My Question is very simple: How exactly, in simple terms, do we incorporate the dependent variable into the test data? Is that even possible? Else, how do we work around the two data sets to be able to predict correctly?? Some of U really do understand this. Pls point me in the right direction. Use other examples if possible to avoid issues with our instructors. Thank you very much. Cheers, Adonia.",0,None,6,Fri Jul 31 2015 13:27:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15674,/competitions/15-071x-the-analytics-edge-summer-2015,712th
/marcvanderpeet12,Kaggle R tutorial on Titanic - I need more :),"Guys, I just completed the kaggle R tutorial on machine Learning. An excellent Learning exercise for improving my machine Learning skills! I was wondering, can anybody tell me where there are more tutorials like these (with different dataset)? I really like this way of Learning! Regards, Marc",0,None,2,Fri Jul 31 2015 13:48:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15675,None,None
/slowloris,Submission Error,"I keep getting a submission error: ERROR: Column 'PassengerId Survived' was not expected (Line 1, Column 1) ERROR: Required column 'PassengerId' could not be found ERROR: Required column 'Survived' could not be found. Are my two columns are seen as one instead of two? The formatting of my csv file seems fine, two columns with proper delimiters. The first is PassengerId, and the second is Survived. I've tried switching the order of the columns, as someone suggested on the forums, but with no luck. Also tried changing the encoding of my file, does nothing either. Can anyone help me with this issue? Thanks!",0,None,2,Fri Jul 31 2015 18:47:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15678,/competitions/titanic,None
/cerivitus,How can I improve this model? Significant log by bid,"Hey everyone, I've divided the train and test set according to biddable and did separate regression models for each type because products with bid/no bid sell differently. Only using the base variables provided returned an AUC of 0.82. Would anyone have any suggestions on how to improve the model further? Is feature engineering the only way to go?",0,None,4,Fri Jul 31 2015 18:48:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15679,/competitions/15-071x-the-analytics-edge-summer-2015,1153rd
/benhamner,4D visualization in matplotlib,"You can use plt.savefig(""4D.png"") instead of plt.show() in order to display the figure. [Link]:https://www.kaggle.com/benhamner/titanic/4d-visualization-in-matplotlib - copy the change back from that.",0,None,1,Fri Jul 31 2015 19:53:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15680,None,None
/omoekan09,Unable to upload submission file,I am unable to upload my submission. Is anyone aware of a problem with the site?,0,None,1,Fri Jul 31 2015 20:17:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15681,/competitions/grasp-and-lift-eeg-detection,267th
/jim884,Can't Test it before upload,"I'm trying some algorithms, but dividing training 70/30 or 80/20 local and running the metric it gives me results that make no sense compared with the ones the site gives me. For example a basic Random Forest in my pc gives me 4.8, but when I upload it, it gives me 0.70. I'm splitting the dataset this way: trainOrig <- read.csv(""train.csv"") set.seed(234) inTraining <- createDataPartition(trainOrig$count, p = .8, list = FALSE) train <- trainOrig[ inTraining,] test <- trainOrig[-inTraining,] and evaluting it with: rmsle(test$count, saved) or made by myself: n <- nrow(test) interno <- 0 for(i in 1:n) { interno <- interno +(log(test$count[i]+1)-log(saved[i]+1))^2 } sqrt(interno/n) I tried to change the split and the seed, but it's always the same.",0,None,1,Fri Jul 31 2015 20:54:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15682,/competitions/bike-sharing-demand,None
/optidatascience,Transform y and public LB result,"Since Gini is only based on rank of results, it is no surprise that if a monotonic transformation applied to Hazard will not impact the result. It can be verified using the scripts published on this board. The idea is to magnify the difference of the training Hazard by square it (or cubic power), hoping the training can preserve the rank of higher Hazard entries. In local CV, it shows significant improvement by xgboost with reg:linear, Gini well >0.4. However, it shows a low score on public LB ~0.33-0.37 Any thoughts is welcome to help understand the issue.",0,None,2,Fri Jul 31 2015 21:14:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15683,/competitions/liberty-mutual-group-property-inspection-prediction,612th
/abednadir,Does variable importance in RF equal importance in GBM?,Why or why not?,1,bronze,7,Fri Jul 31 2015 22:40:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15684,/competitions/liberty-mutual-group-property-inspection-prediction,45th
/sunita1,How to do cross validation with logistic regression,"Hello, can anyone give a hint of how to use cross validation for a logistic regression model? I know of the CVlm() function for linear regression, but want something similar for log, but can't seem to find it anywhere. Since we cannot split our data into training and test, I'm somewhat at a loss as to how to check accuracy of the model! Thanks! Sunita",0,None,4,Sat Aug 01 2015 01:21:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15686,/competitions/15-071x-the-analytics-edge-summer-2015,1109th
/boni442,"Does make sanse this? PredTest= c(predtest1,predtest2)","I have a question, and I don`t really have a clue if does make sense or not… Lets say I have 2 subsets of the data. (I have created 2 subsets of both the training and the testing data with the same argument). If I create two model [model1 and model2]… and make predictions on the test1 and test2 … and I receve no error. Can I use just the ""PredTest= c(predtest1,predtest2)"" to combine the prediction into one single file for my subbmision…or by doing this I just create a list that contains in order the probabilities? In other words how can I make sure toe link the predicted probability with the uniqueID? Thank you",0,None,2,Sat Aug 01 2015 01:53:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15687,/competitions/15-071x-the-analytics-edge-summer-2015,996th
/sramad,"In spite of good AUC on local random split test set , why is the model performing poorly?","I split my data in to train and test sets with a split ratio of 0.7. I modeled train data using random forest using few variables and with this I got AUC of 0.87 on local test set , but finally on my submission, the AUC was 0.82. Could anyone please explain the reason behind this? Is this because of different variable relations on local train,test data when compared final test set. Thanks :)",1,None,6,Sat Aug 01 2015 02:35:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15688,/competitions/15-071x-the-analytics-edge-summer-2015,33rd
/guidotapia,Calculating KS and CVM with predictions only,"The current code available for testing KS and CVM scores require the classifier to make predictions on 'test' datasets. Is there a way to calculate these scores without a classifier? I.e. using only the predictions of the classifier, masses and real signals? There must be a way since this is what is done when submitting, no? If we can have a way of calculating these scores without the classifier it opens up opportunities to have custom objective functions and other interesting things that can be used during model creation (not just afterwards for validation).",0,None,2,Sat Aug 01 2015 03:30:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15689,/competitions/flavours-of-physics,64th
/colinpriest,Tutorial: Using R in this competition,"Hi All, I notice that most of you seem to be using Python, but I'm an R user. So I've started to write a series of blogs that shows how to use R in this competition. The first blog is now available at [Link]:http://colinpriest.com/2015/08/01/denoising-dirty-documents-part-1/ Later I will see whether I can figure out how to use Kaggle scripts function to run the R script listed in my blog. Colin",2,bronze,1,Sat Aug 01 2015 06:57:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15690,/competitions/denoising-dirty-documents,2nd
/,[Deleted Kernel],,1,bronze,3,Sat Aug 01 2015 07:54:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15691,None,None
/alexperrier,Learning to Rank?,"It seems to me that since the Gini coefficient rewards the order of the predictions, the problem to be solved here is one of ranking ( [Link]:https://en.wikipedia.org/wiki/Learning_to_rank ). In the liberty mutual case, contrary to the context of search engines, we only have one 'query', one set of documents that we need to rank. If I'm right about the nature of the problem, then algorithms like RankSVM, Prank, or others listed on the wikipedia page, [Link]:https://en.wikipedia.org/wiki/Learning_to_rank, would be good candidates. See also for instance [Link]:http://fa.bianp.net/blog/2012/learning-to-rank-with-scikit-learn-the-pairwise-transform/. However, I don't see that approach explicitly mentioned in the forum or the scripts where more direct regression algorithms are being implemented. Is the expectation that regression will de facto provide ranking? Am I misinterpreting the problem?",4,bronze,9,Sat Aug 01 2015 14:55:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15692,/competitions/liberty-mutual-group-property-inspection-prediction,1377th
/vnayprakash008,Logic behind the variables,"Guys, Could anyone please tell me the logic behind the variables Bracket pricing, min order quantity and annual usage of train set? I am confused.",0,None,15,Sat Aug 01 2015 15:51:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15693,/competitions/machinery-tube-pricing,None
/marvelchi,RandomForest model error,"any one encountered below error when build randomForest model. Error in randomForest.default(m, y, …) : NA/NaN/Inf in foreign function call (arg 1) In addition: Warning messages: 1: In data.matrix(x) : NAs introduced by coercion 2: In data.matrix(x) : NAs introduced by coercion",0,None,2,Sat Aug 01 2015 18:23:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15694,/competitions/15-071x-the-analytics-edge-summer-2015,731st
/edguy99,"Dataset variables, understanding and units question?","I'm new here so hopefully this is the right place for the question. I have tried to extend and label the variables available, and have a couple of questions to get started: What is the meaning (or is there a quick reference) for the variable: VertexChi2 - χ2 of τ vertex. What are the units for LifeTime - Life time of tau candidate (10^-12 seconds, 10^-18 seconds??) What are the units FlightDistance - Distance between τ and PV (primary vertex, the orginal protons collision point). Thanks and regards .. [Link]:http://www.splatteredmemory.com/colliderdata/tau_to_3muon.jpg",2,bronze,4,Sat Aug 01 2015 19:12:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15695,/competitions/flavours-of-physics,428th
/candan,SuperLearner with ridge,What meta algorithms do you use?,0,None,3,Sat Aug 01 2015 21:01:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15696,/competitions/liberty-mutual-group-property-inspection-prediction,1013th
/zafar2000,foreach multicore,"thanks to Johnson, Cedrick W i found this code to run foreach/caret-train on multicore require(snow) require(doSNOW) require(foreach) change the 8 to however many cores/phys processors you have on your machine cl.tmp = makeCluster(rep(""localhost"",8), type=""SOCK"") registerDoSNOW(cl.tmp) foreach(dat=x) %dopar% someFunction(dat) us it on your own responsibility",0,None,6,Sat Aug 01 2015 21:11:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15697,/competitions/15-071x-the-analytics-edge-summer-2015,1330th
/sannan91,Random Forest Accuracy,Is there any way to find the AUC for the Random Model? Or isn't it even possible? Is the confusion matrix the only way to find the accuracy when it comes to the Random Forest model?,0,None,2,Sat Aug 01 2015 21:47:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15698,/competitions/15-071x-the-analytics-edge-summer-2015,1632nd
/kripar,Make component data flat file (R script),Please note that I have not run the component data through the algorithm yet. Figured this may save some busy work for others.,0,None,1,Sat Aug 01 2015 23:09:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15700,None,None
/carloshuertas,Maximum possible score?,"I think I might not have understood the metric correctly, because of this: [quote=Some;86558] If m = 0, the precision is defined to be 0 [/quote] Does it means that? A) I really have no idea what I am talking about :D B) Every single sample in the test set bought as least one coupon C) The max possible score is unknown?",1,bronze,12,Sun Aug 02 2015 00:21:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15703,/competitions/coupon-purchase-prediction,180th
/hrantkhachatrian,Anyone using unsupervised techniques?,"So far 3 solutions have been posted on this forum and all of them are based on OxfordNet. Did anyone try using autoencoders, RBMs or other unsupervised techniques? We had an idea that it could be helpful to recognize the healthy parts of an eye, then classify by looking at the remaining parts, because in almost every case some parts of the images have no signs of illness. We thought we could recognize ""healthy"" parts of the eyes by training an autoencoder or RBM over the small tiles of 0-labelled images. If this works, we might be able to filter out healthy parts of the other images and get a set of small tiles corresponding to every level of the illness, and even train RBMs on each of these sets. During testing we could check if there are, for example, tiles that are best recognized by the level-4-RBM, and classify the image as 4… We couldn't check if the idea works because of technical issues [dealing with millions of tiles was really tough] and didn't go beyond ConvNets during the contest. [We finished at 82nd place, will post details about the mistakes we made in a few days]",1,bronze,4,Sun Aug 02 2015 00:29:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15704,/competitions/diabetic-retinopathy-detection,82nd
/neil90,"Full dataset for fitting, when submitting?","Question I have been doing test/train split on the ebay Train set(70/30) and then I apply the model to the ebayTestset. Would it be better to create to fit the final model with all the data points in the Train set and then apply it to the ebayTest? My reasoning is that I have more datapoints to build my final model, but I think that would lead to massive over fitting. Is there a standard people do in general for Kaggle competitions?",0,None,1,Sun Aug 02 2015 00:46:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15705,/competitions/15-071x-the-analytics-edge-summer-2015,307th
/nitinyadav,Event File Clarification,As everyone knows each event is of 150 Frames. Each frame is 0.002 seconds (1/Sampling Frequency i.e. 1/500 s). So 150 Frames = 150*0.002 = 0.3 seconds = Duration of one event So MAXIMUM (ignoring overlap between events) one trial (consisting of 6 events) should take 6*0.3 = 1.8 seconds Now in video at: [Link]:https://www.kaggle.com/c/grasp-and-lift-eeg-detection/data trial starts at 07 second and end at 12 second which is about 5 seconds. Can anyone please help me with this observation?,0,None,2,Sun Aug 02 2015 08:22:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15706,/competitions/grasp-and-lift-eeg-detection,None
/kirtitewari,RF Message Warning message,"RF Message warning Message : In randomForest.default(m, y, …) : The response has five or fewer unique values. Are you sure you want to do regression? Also, when submitted, I got NULL in submission… I am unable to fathom the reason.",0,None,2,Sun Aug 02 2015 09:28:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15707,/competitions/15-071x-the-analytics-edge-summer-2015,1362nd
/dslate,New xgboost for R,"For xgboost users working in R: In case you don't already know, it appears that as of today (August 2, 2015) there is a new version of xgboost for R (xgboost_0.4-2) available on the official CRAN repository. This is the first new version I've seen since xgboost was withdrawn several months ago due to various problems, primarily I think with the Windows OS. I've been using xgboost successfully for quite a while in various projects, but until now just as a stand-alone executable on my x86_64 Linux workstations. Even when I was working in R, I wrote training and test data and configuration files for xgboost, called xgboost via system(), and then read back the predictions. However, with this contest I decided to try to use the xgboost R package, only to discover that it was no longer available as an official package. I installed xgboost_0.3-3 from the CRAN archive, but it suffered from intermittent segfaults with my data sets, a problem I never saw with the standalone version. Just yesterday I figured out how to build and install the R package for xgboost_0.4-1 using devtools::install_github(""tqchen/xgboost"",subdir=""R-package""), and fortunately this version seemed to have fixed the segfault problem. And today I installed the official xgboost_0.4-2 R package release, and in my limited tests so far it seems to be performing well. Note that this is in my own R program, not with any of the posted scripts. I hope this information is useful.",15,gold,14,Sun Aug 02 2015 15:39:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15709,/competitions/liberty-mutual-group-property-inspection-prediction,52nd
/alaaelnouby,Graduation Project,"I am in my final year undergraduate in Computer Engineering. Can you give me some project ideas that uses the combination of Big data and Machine Learning for my graduation project, i don't much about both but from some readings and intros , i thought i would like to study these subjects for the next year, but i need some decent and trending ideas for the project",1,None,2,Sun Aug 02 2015 19:11:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15710,None,None
/vishallala,Keys to my Failure,"I have tried a number of different options but I just can't beat a naive initial model I ran in a few hours of working on the data (that was two weeks ago!) Here is what I have tried Generate new features: 99 cent endings, 9 endings in price, no description, number of upper case letters, different text elements within the description Cluster then predict: Generated clusters using Cluster analysis, splitting startprice, biddable, noDescription. Sophisticated Models: Used glm, rpart, bagging, forests, boosting (gbm) and svm (led to overfitting with radial and linear was poor). Ensemble: Combining results of multiple models by simple averaging. None of these have helped. I am out of ideas. So, those of you in the 0.86 club, I would love to hear from you once this competition is over. Shattered and Devastated..",3,bronze,9,Sun Aug 02 2015 22:21:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15712,/competitions/15-071x-the-analytics-edge-summer-2015,1416th
/iglovikov,Best single model prediction.,"Hello everyone, What is your best single model LB score, without stucking or ensembling? Just single run result. For me so far: xgb => 0.385109 nn => 0.33748 kNN => 0.307919 RF => 0.370753 Could you please share your results? It would be nice to know if I am missing something in terms of hyper parameters on any of these algorithms or may be I should check some other algorithms/libraries?",1,bronze,37,Sun Aug 02 2015 22:37:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15713,/competitions/liberty-mutual-group-property-inspection-prediction,628th
/johnhalter,sklearn and pandas,"I'm trying to get a stratified cross validation set, starting with pandas dataframe. I'm guessing I have to use numpy arrays, but need to get back to a dataframe for the classifier fit. X = train[all_features].values Y = train['signal'].values skf = StratifiedKFold(Y, n_folds=20, shuffle=True, random_state=0) for trn_idx, vld_idx in skf: Xtrn, Xvld, Ytrn, Yvld = X[trn_idx], X[vld_idx], Y[trn_idx], Y[vld_idx] break print 'Xtrn shape: ', np.shape(Xtrn) print 'Ytrn shape: ', np.shape(Ytrn) print 'Xvld shape: ', np.shape(Xvld) print 'Yvld shape: ', np.shape(Yvld)",0,None,1,Sun Aug 02 2015 22:58:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15715,/competitions/flavours-of-physics,355th
/sabyasm,Key findings so far,"This is an invitation to share the key findings so that everyone can play around for the last 2 (may be 4) submissions. I am still trying to improve my model using things that makes logical sense rather than trying to tune the parameters (I am stuck at 0.855+) . Here is my key findings so far: You don't need all features to get a good prediction. I would say that even without half the information, a decent ~0.85 score can be achieved. Mental/Logical feature selection helps. Would you really care about the carrier of a very old generation iPad that is available at fairly good condition and starting at maybe 1.99? However, if you are buying a latest iPad starting at $300+ you would probably pay attention to the description field This was discussed in the clustering lectures. If there are few groups within a dataset that has extremely different nature, it is usually beneficial to train on each group than applying the algorithm on whole dataset. Description field as a whole doesn't have a straightforward importance. For example - a zero description is not same as 10-15 word description. But a 200 word description would probably have a similar importance as 215 word description. Translating this to feature engineering helped my models as a whole. Last but not the least - combining several models in different weight ratio helps the overall accuracy. Example: You may find that a model is predicting accurately for the biddable products but miserably for the non-biddable. You can combine: either 2 different model of one that is performing well for biddable and another good performing model for non-biddable for overall better accuracy.",4,bronze,3,Sun Aug 02 2015 23:22:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15716,/competitions/15-071x-the-analytics-edge-summer-2015,637th
/vykhand,"Missing values in USABLE_DATE_* columns, coupon_list_*.csv","Dear organizers, how do we correctly treat NAs in those columns? Should they be treated as 0 or 1?",0,None,2,Sun Aug 02 2015 23:40:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15717,/competitions/coupon-purchase-prediction,663rd
/abednadir,Python on own machine,"Hello, To anyone who's managed to get the xgboost python script working, could you tell me which IDE you're using and whether or not it was a hassle?",1,bronze,7,Mon Aug 03 2015 01:49:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15718,/competitions/liberty-mutual-group-property-inspection-prediction,45th
/lacw91,Trying to make clustering work (based on a few other threads) but getting warning,"Okay guys so I trawled through a few topics before I started and decided to make a k means clustering model to then use for GLM so I stripped out all of the variables that weren't really significant on a test glm as well as those that were non-numeric, and of course the DV Made the remains into integers and passed them through the k means clustering. I then added back the non-numeric variables I wanted and the dv, and then made subsets of the data frame by cluster group. then I did a glm for each cluster (all fine so far) then I go to make a prediction (with the intention of combining the predictions later for submission) and bam, ""Warning message: In predict.lm(object, newdata, se.fit, scale = 1, type = ifelse(type == : prediction from a rank-deficient fit may be misleading"" copy what am I doing wrong?!",0,None,4,Mon Aug 03 2015 01:50:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15719,/competitions/15-071x-the-analytics-edge-summer-2015,944th
/datalev,about xgboost,,0,None,5,Mon Aug 03 2015 03:12:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15720,/competitions/liberty-mutual-group-property-inspection-prediction,844th
/fgrideau,AUC sanity check,"question regarding AUC. when i have 2 different predictors i try to look at table(pred1 > cutoff, pred2>cutoff) to compare them (for example cutoff= 0.5, it could be any value) Is it possible that BOTH pred1 and pred2 give reasonably good AUC on the Test Set while there is quite a disagreement when looking at the table above ?",0,None,1,Mon Aug 03 2015 03:39:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15721,/competitions/15-071x-the-analytics-edge-summer-2015,275th
/danielchin,Usable_Date in coupon_list_test,"We are given 9 separate digits to represent the valid days a coupon can be used throughout the week as well as during holidays and before holidays. However, the possible values for these columns are either 0, 1, or 2. I assumed 0 meant not valid and 1 meant valid, but I have no idea what 2 represents. Any ideas?",0,None,3,Mon Aug 03 2015 04:23:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15722,/competitions/coupon-purchase-prediction,293rd
/ydschwartz,Anyone else having submission problems?,My submission keeps getting rejected because it does not have 61156 rows… except it does. Anyone else having issues?,0,None,1,Mon Aug 03 2015 05:11:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15723,/competitions/icdm-2015-drawbridge-cross-device-connections,83rd
/skylibrary,should we worried about final score of the 0.3911 script,"Has any one done a cv to this script, I am so lazy to do it. But I did do 5 fold cv(random and without replacement) on my own models, the score between best fold and worst fold diff by around 0.015. However, a ensemble of 14 models only score 0.388, it is even not as good as the script, I tried arithmetric ensemble, geometric ensemble and rank, it doesn't make much difference. The interesting thing is when I ensemble my models with the script, the score is only 0.389… BY THE WAY, how many top players are ensemble in this script?",0,None,10,Mon Aug 03 2015 05:38:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15724,/competitions/liberty-mutual-group-property-inspection-prediction,149th
/jatinagrwl,Criteria for selecting the top 2 models for submission,"Hi all, This question is regarding the two models which should ideally be submitted for evaluation. It is my first time participating in Kaggle and I would like to know the key points to keep in mind for this, considering that the final standings based on the full test data set can be quite different from the current scenario.",0,None,8,Mon Aug 03 2015 08:55:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15725,/competitions/15-071x-the-analytics-edge-summer-2015,1509th
/fchollet,CV and LB scores differences,"My cross-validation scores are considerably lower than my public LB scores, for a range of different models, and I'm wondering why. Is anyone else experiencing this? I'm seeing CV scores in the range of 0.990 +- 0.001 in 5-fold CV (averaged over multiple random shuffles of the data). These models consistently score 0.9855 +- 0.005 on the public LB. The difference is huge and is far outside the variation range you see in CV folds. Having triple-checked my CV process, I can entirely rule out any leak or error on my side. There are only two possible hypotheses to explain this oddity: the public leaderboard dataset is ridiculously small, on the order of 10k samples or less. This hypothesis is supported by the fact that LB scores have a much higher variance than CV scores. If this is the case, then we should only rely on CV and be careful of avoiding LB overfitting. the training samples are not independent (eg. the training set contains samples that are quasi-duplicates of each other and that are not found in the test set), which means that any model trained on the subset of this training data will perform much higher on a different subset than it would on the test data (in other words, CV won't work accurately with the training data). If that is the case, we can't rely on CV anymore. Big potential issue. This second hypothesis would not make sense with real world particle data, but it could happen with simulated data. Thoughts?",2,None,35,Mon Aug 03 2015 10:29:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15726,/competitions/flavours-of-physics,21st
/mostafafr,what is the score of the leaderboard?,"When I look at the MSE of my model, it is 14.2539, but on the leaderboard, it is 0.355158, what is the score of the leaderboard?",0,None,2,Mon Aug 03 2015 13:48:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15727,/competitions/liberty-mutual-group-property-inspection-prediction,234th
/cashfeg,Evaluation Score Map@10 ???,"Hi everyone, I found a script by tonets [Link]:https://www.kaggle.com/tonets/coupon-purchase-prediction/0-00664coupon this says a lucky coupon (A) for all users score 0.00644. I know another lucky coupon (B) that scores 0.00540. So, I recommended these two coupons A B for all users, and that scored 0.00644. Why? In my opinion, this should improve 0.00644. Users who purchased A and did not B : no improvement Users who purchased neither A nor B : no improvement Users who purchased B and did not A : must improve Users who purchased A and B : must improve Am I misunderstanding something? Edit: This issue is fixed now.",13,gold,29,Mon Aug 03 2015 14:19:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15728,/competitions/coupon-purchase-prediction,14th
/danielw,Remove Levels from a factor,How do I remove a non-significant level from a factor?,0,None,1,Mon Aug 03 2015 14:36:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15729,/competitions/15-071x-the-analytics-edge-summer-2015,1213th
/messels,Event with Multiple Categories,"I've attached an example from Subject One in which the event was categorized as multiple event-types. How is that possible? Is that ""wrong"" -- should we be removing / cleansing stuff like that from the training? (It seems wrong to me) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88085/2787/Screen Shot 2015-08-03 at 1.57.13 PM.png",1,bronze,7,Mon Aug 03 2015 15:01:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15730,/competitions/grasp-and-lift-eeg-detection,48th
/danielw,Is the best or last entry counted?,,0,None,4,Mon Aug 03 2015 15:57:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15731,/competitions/15-071x-the-analytics-edge-summer-2015,1213th
/edguy99,Muon detection system - Does it tell direction?,"I stumbled onto a great resource for understanding the Muon detection system at [Link]:http://iopscience.iop.org/1748-0221/3/08/S08005/pdf/1748-0221_3_08_S08005.pdf, starting page 125. Question: within the test.csv data set of runs, the variables for detected muons are: p0_pt - Transverse momentum of p0 muon. p0_p - Momentum of p0 muon. p0_eta - Pseudorapidity of p0 muon. p0_IP - Impact parameter of p0 muon. p0_IPSig - Impact Parameter Significance of p0 muon. The data seems to only tell you direction in 2 dimensions, ie. total momentum and transverse momentum. Is there a way to tell the direction of the muon in 3 dimensions and track it back to where it was created? Perhaps I have missed something important here. Thank you, any ideas or comments welcome. Muon detection from the article: 6.3 Muon System Muon triggering and offline muon identification are fundamental requirements of the LHCb experiment. Muons are present in the final states of many CP-sensitive B decays, in particular the two gold-plated decays, B0 d → J/ψ (µ +µ −)K 0 S and B0 s → J/ψ (µ +µ −)φ [2]. They play a major role in CP asymmetry and oscillation measurements, since muons from semi-leptonic b decays provide a tag of the initial state flavor of the accompanying neutral B mesons. In addition, the study of rare B decays such as the flavour-changing neutral current decay, B0 s → µ +µ −, may reveal new physics beyond the Standard Model [163]. The muon system provides fast information for the high-pT muon trigger at the earliest level (Level-0) and muon identification for the high-level trigger (HLT) and offline analysis.",0,None,3,Mon Aug 03 2015 19:21:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15732,/competitions/flavours-of-physics,428th
/wendykan,Important training dataset reminder,"Dear participants, As the competition progresses rapidly, we’d like to draw your attention to the data to be used for the purpose of training your model. It is mentioned in the [Link]:https://www.kaggle.com/c/flavours-of-physics/data, but we’d like it to be a bit more explicit. To be eligible for the prize your final solution should rely solely on the data provided in ‘training.csv’ without any usage of ‘check_correlation.csv' or ‘check_agreement.csv' datasets. The main motivation behind this restriction is that we want to make this competition as useful as possible from physics application, and having models that fit to ‘agreement_check’ data just to pass agreement test and at the same time behave quite differently on the signal channel is in general meaningless from physics point of view, but rather easy to achieve ‘accidentally' by adding ‘check_correlation.csv' or ‘check_agreement.csv' into the training process. The idea behind the agreement test is to check if the model takes advantage of the fact that there are differences between the samples obtained from simulation and the real data. These are due to imperfections in the simulation and a classifier useful for a physics analysis should not take advantage of the differences between samples from the same class that arise from these imperfections. PS. We would like to encourage everyone to submit descriptions of their solutions upon the challenge finish, since even the lower-ranked solution might be useful for physicists in other analyses. In particular, approaches that are not main stream will certainly receive attention from CERN researchers and their authors could be invited to one of the [Link]:https://www.kaggle.com/c/flavours-of-physics/details/prizes.",9,silver,53,Mon Aug 03 2015 20:32:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15735,/competitions/flavours-of-physics,546th
/glouppe,Classification with a control channel: Don't cheat yourself!,"As of last week, we identified, [Link]:https://www.kaggle.com/betatim and I, a loophole in the challenge setting making it possible to train a classifier exploiting simulation imperfections (i.e., features discriminative between simulation and real data, such as SPDhits, rather than between signal and background) while still passing the agreement test. The issue was reported to the organizers, who decided to make the rules of the challenge stricter (see [Link]:https://www.kaggle.com/c/flavours-of-physics/forums/t/15735/important-training-dataset-reminder). So that everyone can understand and think about the problem, we prepared an IPython notebook explaining the issue, showing how and why checks on control channels to compare a classifier's response on real and simulated events/samples can be bypassed (accidentally or on purpose). Overall, we argue that models obtained through the challenge (at least some) might not be as reliable as estimated, even if tests on control channels pass. In particular, a passing control channel test does not guarantee that a classifier does not leverage discriminative simulation imperfections. [Link]:http://t.co/kF40NpHHIz The notebook includes in broad terms the solution making it possible to currently reach the top of the leaderboard. Since such a solution is however invalid with respect to the new challenge rules, we wont post the corresponding source code, in order to avoid chaos in the LB with dozens of such solutions. Finally, since we want this to beneficial in the end for the physics, we are currently thinking about better agreement tests. We would be glad to share and discuss ideas if you have any :)",15,gold,11,Mon Aug 03 2015 20:54:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15736,/competitions/flavours-of-physics,20th
/abednadir,People who don't post to public leader board very much,Are these guys usually silently creating amazing models that will destroy everyone else or are they just busy people who don't have the time to work on it a lot?,0,None,74,Mon Aug 03 2015 21:23:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15737,/competitions/liberty-mutual-group-property-inspection-prediction,45th
/valexandersaulys,Assumptions on Dataset?,"So looking at the data, we are given the sessions where a user saw a coupon. However, we have no way to link this to any of the datasets to find the coupon he/she saw. There is a ""PURCHASEID_hash"" column, but its ""NaN"" if the user didn't purchase the coupon. Are we to assume that the user saw all the coupons and the ones he purchased show up in ""ITEM_COUNT"" and ""PURCHASED_FLG""? If I'm wrong on any of this please let me know!",0,None,2,Mon Aug 03 2015 22:43:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15738,/competitions/coupon-purchase-prediction,None
/kotomord,Blah - XGB,"Sorry, I did not sleep a couple of nights and do not quite understand what I'm doing",0,None,1,Mon Aug 03 2015 23:24:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15739,None,None
/udibr1,"to admin: is it OK to use ""non-physics"" featres?",Is it OK to use a feature extract from the training set that have no relation to the physical world but have a relation to how programmers would have programmed a simulator? After all the training set is just a set of numbers and any features extracted from them should be OK?,3,bronze,1,Mon Aug 03 2015 23:48:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15740,/competitions/flavours-of-physics,24th
/crmhaske,What is wrong with scripts?,"Why do I keep getting this error from this line: dfa[c('ST','QTRBIR','AGE')] It's a perfectly legitimate way of selecting columns from a data frame. Error in [.data.frame(dfa, , c(""ST"", ""QTRBIR"", ""AGE"")) : undefined columns selected [Link]:https://www.kaggle.com/crmhaske/2013-american-community-survey/effects-of-month-of-birth-in-adulthood",0,None,3,Tue Aug 04 2015 00:23:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15741,None,None
/maxpeets78,clear instructions to install xgboost in python,is there any clear instruction on how to install xgboost in python?,6,bronze,50,Tue Aug 04 2015 00:26:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15742,/competitions/liberty-mutual-group-property-inspection-prediction,None
/igorpuzhai,results,"let's discuss the results! my submissions tuned out to be more or less as good as I expected them to be. 2 of my submissions scored marginally better than the ones I selected. I lost only 2 places (14 public -> 16 private). most of the top changed dramatically. in fact, only 2 people above me were in the top on the public leaderboard. all of my submissions scored better on the full set. the best one I selected went up from 0.85978 to 0.87126. by the way, are we allowed to discuss our models now? also, some people improved by 1393 places, others lost 1448 places. I find this hilarious and somewhat unexplainable.",2,bronze,52,Tue Aug 04 2015 02:25:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15744,/competitions/15-071x-the-analytics-edge-summer-2015,16th
/vadimmalykh,Can we have now Test data with sold?,"I'm not sure about Kaggle rules, but it seems logical for me that now we can get Test data with sold column to explore our models and figure out how we could do it right. Can we get it?",2,bronze,6,Tue Aug 04 2015 02:57:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15745,/competitions/15-071x-the-analytics-edge-summer-2015,1226th
/benhamner,Effects of month of birth in adulthood,"This is a really interesting question! I'm curious to see what you find. It could be the case that birth month causes an effect, but that effect is drowned out in the aggregate statistics by everything else that also impacts education level and income. One way to provide more insight into this would be training a predictive model on income (or education level), given birth month and many other potential confounding factors. That model can then be queried to determine if including birth month improves its performance and estimate what the impact of birth month on income is. [Link]:https://www.kaggle.com/benhamner/bike-sharing-demand/what-drives-demand-for-dc-bike-rentals/results of estimating the impact of different factors on DC bike rentals by training and querying a machine learning model.",2,bronze,8,Tue Aug 04 2015 03:03:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15746,None,None
/psdhillon,Top 5%--Share your R code & approach,Please share your approach & R code so that all can learn,2,None,22,Tue Aug 04 2015 03:17:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15747,/competitions/15-071x-the-analytics-edge-summer-2015,1464th
/shashankc,Strategies to encode categorical variables with many categories,"I was going over the benchmark scripts, and one of the ways in which categorical variables have been handled is by replacing the variables by the respective count frequencies of the variables in the column. I understand why we need to transform the variables, but can someone please explain why this approach was used. What exactly is the logic behind it? Secondly, I was wondering if anyone may be willing to share other techniques of dealing with categorical variables (excluding the obvious one hot encoding) or point me to some previous competitions where the winning teams used some interesting approaches for the same. Thank you!",10,bronze,6,Tue Aug 04 2015 03:17:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15748,/competitions/machinery-tube-pricing,115th
/fchollet,To admins: is it ok to use a random number generator?,"To admins: I understand that it is not allowed to make any use of the following data in any capacity: check_correlation.csv check_agreement.csv any ""external"" data Although the use of external data is disallowed in this competition, is it admissible to make use of a self-contained source of data in a model, such as the data produced by a random number generator? The reason I am asking this is that I have a theoretical solution that would allow to train a model that could entirely by-pass the agreement test, without ever looking at check_agreement.csv. This would allow to leverage the simulation defects (that are leaking the labels) as much as possible while having a low KS score. This model would score very high (although it would be useless from a physics perspective), while respecting the basic rules such as: no use of check_agreement.csv whatsoever all events are treated in the same way as if they are from the same channel This solution relies only on the use of a random number generator and a handful of hard-coded hyperparameters. So, are random number generators (and hard-coded hyperparameters) allowed in this competition? Of course, it is only half a real question, since RNGs are common in many machine learning algorithms and disallowing them would be… strange, to say the least. So you could rephrase my question as: are you willing to address the core issues with this competition? Adding new rules will NOT be sufficient to prevent entrants from finding ways to exploit simulation leaks while still passing the KS test. Exploiting these flaws is by design the only way to perform competitively in this challenge. I can promise you that the top-performing models (including mine if I don't quit right now) will not be useful to physics, while still managing to comply with your rules. You are not getting what you are looking for, and you will need to revise your basics assumptions if you want this competition to align with physics usefulness. Thank you.",10,gold,8,Tue Aug 04 2015 04:29:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15749,/competitions/flavours-of-physics,21st
/mikeskim,Kaggle placement respect in publishing papers,"I understand Kaggle has some coin toss datasets where winning is mostly a lottery. Two examples being TFI and Taxi albeit there are probably more. However, many (most) Kaggle datasets have more than 100,000 test observations and would be useful to use as academic benchmarks. The most obvious datasets include the CTR datasets, but there are many others. I think with millions of test observations many claims become significant. However, in my experiences there is little respect in the academic community for placing well on Kaggle datasets relative to the toy UCI benchmarks. Is there a way to change this? I think a lot of academic people think getting a top 10 placing algorithm out of thousands is easy and mostly about luck. I've even had claims that a repeatedly top 1% meta algorithm is about luck. This bothers me extremely and I'm not sure how to change this view point. I think Kaggle based publications are much harder to cherry pick given the private leaderboard is never actually leaked, and you can't random seed pick like you would on an UCI benchmark dataset. This does not seem to be the norm. I'm frustrated because I think Kaggle is much more real world, and often better evidence of algorithm effectiveness. This is especially true if you have something that works across multiple datasets and was used to nearly win multiple contests across hundreds of thousands of test cases if not millions. I'm partly just venting against ignorant academic reviewers, but I also think there needs to be some way to edify or unify the machine learning community regarding what is really effective and what is probably cherry picking.",6,silver,6,Tue Aug 04 2015 04:32:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15750,None,None
/prasantha07,Query regarding submission and results,1) Will the system take our best submissions automatically? or do we need to select a particular submission? I have not selected any particular submission assuming system will automatically pick the best score. Please help! 2) When will the scores reflect on Progress page?,0,None,2,Tue Aug 04 2015 06:07:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15751,/competitions/15-071x-the-analytics-edge-summer-2015,1186th
/fgrideau,"""cheating""","are there particular techniques for cheating ? Matt suggested that a high ID number was effectively associated with $sold for example, if we wanted to ""know"" whether UniqueID was indeed correlated with $sold, is there a technique where we would be able to ""quantify it"" by submitting a 100% (or some other number) probability for high IDs ? and the rest of probabilities the same than some reference model whose performance we know. Then, would it possible to reverse engineer (at least get a decent estimate) of the proportion of correct predictions ? such an approach could give some crucial hints…",0,None,4,Tue Aug 04 2015 10:24:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15753,/competitions/15-071x-the-analytics-edge-summer-2015,275th
/harishmahale,How is AUC calculated for private dataset,"Hi, I was just wondering how is AUC evaluated on the private dataset. If it is a completely new unseen dataset, then how is our model applied to it as we never submitted the model, just the predicted probabilities for test dataset. Or is it that some unique IDs are randomly chosen from the test dataset and AUC calculated based on that sample? Any ideas.",1,None,10,Tue Aug 04 2015 10:58:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15755,/competitions/15-071x-the-analytics-edge-summer-2015,1335th
/alex23lemm,Feature engineering/Golden feature,"In the [Link]:https://inclass.kaggle.com/c/15-071x-the-analytics-edge-summer-2015/forums/t/15744/results and the [Link]:https://inclass.kaggle.com/c/15-071x-the-analytics-edge-summer-2015/forums/t/15535/ideas-invited-from-0-85-club thread you can find many good discussions focusing on differences between public and private LB score based on different model types/combinations. Here, I would rather take one step back in the data analysis/science process and merely focus on feature engineering. I consider this step very crucial because it can create an improved baseline for building and training your models afterwards. I would be interested in the following: What kind of clever new features did you derive from the original data which proved to be useful? (For instance, mat mentions 'number of cheaper items of same type' in the [Link]:https://inclass.kaggle.com/c/15-071x-the-analytics-edge-summer-2015/forums/t/15744/results thread as one of his new features) What kind of feature combinations proved to be useful? Could you clearly identify a golden feature that helped you a lot? Thanks for sharing your ideas!",1,None,28,Tue Aug 04 2015 11:28:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15756,/competitions/15-071x-the-analytics-edge-summer-2015,294th
/georgesolymosi,Gilles Louppe [out of the competition] ?,"I'm just wondering why that ""[out of the competition]""?",1,bronze,7,Tue Aug 04 2015 12:02:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15757,/competitions/flavours-of-physics,12th
/naveenkaveti,Modified Cosine Similarity (0.006349),"Hi Subhajit, Thanks for the script. It helps me a lot to learn about recommendation systems. I am wondering how you come up with weight matrix 'W' that you used in your script? Is there any method to find weights? Thanks in Advance. Regards, Naveen",0,None,21,Tue Aug 04 2015 14:03:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15758,None,None
/shiva90,confusion on Gini score,"let say actual_values = [1,4,5] , pred1 = [1,2,3] and pred2 = [1,4,9] will the normalised gini score will be same for pred1 and pred2?",0,None,2,Tue Aug 04 2015 16:01:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15759,/competitions/liberty-mutual-group-property-inspection-prediction,688th
/tifaccio,Do we know everything,"Once again, deep inside the data mine the following two tubes came to my attention: TA-18814,SP-0041,6.35,2.26,98,10,19.05,N,N,N,N,EF-015,EF-015,0,0,0 TA-19242,SP-0041,6.35,2.26,98,12,19.05,N,N,N,N,EF-015,EF-015,0,0,0 TA-18814,C-1369,2,C-1374,1,C-1375,1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA TA-19242,C-1369,2,C-1374,1,C-1375,1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA TA-18814,SP-0057,SP-0080,NA,NA,NA,NA,NA,NA,NA,NA TA-19242,SP-0057,SP-0080,NA,NA,NA,NA,NA,NA,NA,NA TA-18814,S-0030,2014-02-12,1,1,No,1,16.3473790221619 TA-19242,S-0030,2014-02-12,1,1,No,1,3.1910217390094 copy Both are the same tube assembly, same components, same specs, just with a slight difference in num_bends: TA 19242 is bended 12 times, while 18814 has ten bends but the price difference is quite substantial. Did i forgot some files? Did we receive all data necessary? Is this a very stupid supplier?",5,bronze,8,Tue Aug 04 2015 16:29:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15760,/competitions/machinery-tube-pricing,1263rd
/gaertnermike,Public/Private Leaderboard,"Just a runt ;) but the public leader board just screwed me over! 12 submission 7 of which would have scored over 0.85x on the private leader board, but scored only 0.82 / 0.83 on the public leader board, so naturally i did not even dare to include them in the submission. And of course the submission that scored highest on the public leader board , scored very badly on the private leader board. So using the public leader board as a benchmark for my work lead me down the road to a very very poor result, not in writing models but in choosing which on to submit. Down 800 places from where my best work would have put me. Seam a very poor designed system to me and i hope that edX / MITx will rethink this approach.",0,None,15,Tue Aug 04 2015 17:45:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15761,/competitions/15-071x-the-analytics-edge-summer-2015,1110th
/hoehle,Odds based on PdDistrict (score = 2.616),"Thanks for sharing this. Btw, your line crimes_by_district_norm <- t(scale(t(crimes_by_district), center = FALSE, scale = colSums(t(crimes_by_district)))) could be replaced by the (IMHO) simpler: crimes_by_district_norm <- prop.table(crimes_by_district, margin=1) /Michael",0,None,1,Tue Aug 04 2015 19:44:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15762,None,None
/willieliao,Random Sample by Country,This is by no means a great solution but at least it shows how to import the data and write an actual submission file. The number of cookies to list for each device can be changed via the N_samples parameter.,4,bronze,2,Tue Aug 04 2015 22:44:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15767,None,None
/omgponies,"Confusion on ""ranked""?","The data description says: ""The goal of the competition is to recommend a ranked list of coupons for each user in the dataset…"" I cannot find anyone else on here talking about it, and I don't know if this is something lost in translation or I am just slow - but is the implication that ordering of the coupon hashes for the user matters? (I have only just today downloaded the data, so haven't yet had an opportunity to submit something and then randomize the order and submit again to see what happens) If so, ranked by what? Date order? Probability of being selected? And then which order, left to right, in the submission is the high/low? Or is the rank something else, and if so, what?",1,bronze,2,Tue Aug 04 2015 23:48:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15768,/competitions/coupon-purchase-prediction,537th
/wizuriel,Kaggle team,"So tried asking on the course site, but figured this forum might be more active. Was wondering if anyone would be interested in forming a Kaggle team after the course ends? Bonus points for being in EST timezone (or from Toronto, Ontario).",0,None,2,Wed Aug 05 2015 00:54:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15769,/competitions/15-071x-the-analytics-edge-summer-2015,1116th
/dchudz,Welcome!,"Hi everyone, Welcome to this Scripts competition! This is the second ""scripts-only"" (not predictive modeling) competition we're launching, [Link]:https://www.kaggle.com/c/2013-american-community-survey/forums. I'd love to see what you can do with these Reddit comments. I tried to add enough indices to the Sqlite database that you can efficiently do the operations you want (e.g. [Link]:https://www.kaggle.com/dchudz/reddit-comments-may-2015/dates). But if there are others you think we should have, adding them might be possible. -David",0,None,3,Wed Aug 05 2015 02:44:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15770,None,None
/abednadir,"blending, stacking, all that cool stuff","Hello master data scientists, I come to you looking for knowledge regarding my latest trials and tribulations. I recently split up the training data into 2 sets, A and B. I trained a random forest model on A, and then made predictions on B with it and added the predictions to B. Then I used B in a linear xgboost model with weight and depth of 5 and 5. My RMSE was spiraling downwards into the glory of the lowest real numbers and visions of money and fame filled my brain. I then made predictions on the test set and I got a score of .000456. My question for you master wizards is, how do I successfully combine models with my superbly transformed data set and take the crown?",3,bronze,28,Wed Aug 05 2015 03:35:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15771,/competitions/liberty-mutual-group-property-inspection-prediction,45th
/butchland,You can still submit after competition!,"I just tried this out… If you're still interested in trying out new models and features for the competition, you can still continue submitting and the scores will show up (both private and public leaderboards). I don't know if this will work for all the other Kaggle competitions but it seems to work here. The submissions won't count in the final leaderboard, of course, but its a great way to learn, don't you think? Butch",0,None,1,Wed Aug 05 2015 05:47:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15773,/competitions/15-071x-the-analytics-edge-summer-2015,142nd
/deepcnn,Single Model Performance,"After looking at the quick ascension of [Link]:https://www.kaggle.com/rcarson to the top of the leaderboard, I couldn't help it but wonder if that result is just a single NN model or ensemble with other methods. My local validation for current run seems so unreal. Even for the difficult subject 2 data, I got ~92%. Is this for reals? I mean, I haven't even gotton started in modifying the network much, properly preprocessing. Could you share your local Val/LB experience with the NN written by [Link]:https://www.kaggle.com/Tim?",0,None,4,Wed Aug 05 2015 08:07:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15774,/competitions/grasp-and-lift-eeg-detection,3rd
/linkanray,want a partner to team/anybody looking for partner,"I am new to machine learning. I would like to learn and explore the world of data science. If anybody is interested to team up with me/take me in their team, please let me know.",0,None,17,Wed Aug 05 2015 17:22:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15776,/competitions/coupon-purchase-prediction,862nd
/ospacil,Does the average of the AUC scores over the two leaderboards make any interpretable sense?,"The final ranking was determined solely by the private half of the test data. I wonder why the public half of the data is ""ignored"" in the end. Surely you want your model to perform well on 100% of the data and not just 50% of it. Question 1: Does it make sense, for example, to take the average of the AUC scores (for a single submission) over the two halves of the data (public and private) and say anything about the quality of the model that way? To avoid any confusion, I'm not trying to change the ranking :-) But I'd like to have some feeling of whether my model was okay or bad -- my best submission scored 0.84941 on public and 0.85123 on private, i.e there was a tiny improvement on the private data and hence I dropped 700-something places down in the ranking. Question 2: If your model has consistent (very similar) and relatively high AUC on various subsets of the test data, does it mean your model is (could be) pretty okay? If there are big jumps in AUC over the various subsets, does it mean you have a bad model? I'm a complete beginner, so my final model wasn't sophisticated. I used random forest on startprice + productline + condition + biddable + cel + BoW, where cel was a simplified combination of cellular + carrier (unknowns were less likely to sell) and for the bag of of words I actually used 2-grams instead of single words. But due to limited time I didn't tweak this model much.",0,None,3,Wed Aug 05 2015 17:47:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15777,/competitions/15-071x-the-analytics-edge-summer-2015,859th
/suneel,Why to complicate so much?,why to use such complicated algorithms and try to predict the destination? Instead let the driver register the destination over Electronic dispatch system…through voice or keying in etc?,0,None,2,Wed Aug 05 2015 19:53:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15782,/competitions/pkdd-15-predict-taxi-service-trajectory-i,None
/georgem,tube material_id and tube specs,Tube material ID is a code with a format of spec. For example SP-0028 is a common material ID and comes up in the specs file too. I would like to know if the same codes have the same meaning in both files OR every file may use common codes for different purposes. Thanks in advance.,0,None,2,Wed Aug 05 2015 20:10:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15784,/competitions/machinery-tube-pricing,104th
/promentis,"Leaderboard changes, overfitting","I took this course in the Spring, and after the competition I did the attached analysis. Look at the last two graphs--the story this year seems to be the same by just glancing at the private leaderboard. The moral of the story is: focus on your model and not the leaderboard. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88564/2792/LBAnalysis08May.pdf",2,bronze,4,Wed Aug 05 2015 20:37:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15785,/competitions/15-071x-the-analytics-edge-summer-2015,None
/smirshekari,Translate Everything to English Using R,Good idea! But does this actually work? The separation between different categories are indicated by period in Japanese. When I tried to use this script for translation it doesn't work properly. Have you tested it? Thanks!,0,None,9,Wed Aug 05 2015 20:46:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15786,None,None
/hallayang,Strange leaderboard scores,"Leaderboard shows ""No Predictions Benchmark"" with a score of 0.94432.",0,None,3,Wed Aug 05 2015 21:24:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15789,/competitions/coupon-purchase-prediction,2nd
/domcastro,Finding sarcasm,How do you know it's sarcasm? is it done on points?,1,None,1,Wed Aug 05 2015 22:57:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15791,None,None
/wcukierski,Submissions have been rescored,Hi all! We discovered an error with the way submissions were being parsed for this competition (they were set to be tokenized as integers instead of strings). It's fixed now and all submissions have been rescored. Apologies for any disruptions/headaches that result. This one was entirely my fault.,11,silver,3,Wed Aug 05 2015 23:25:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15792,/competitions/coupon-purchase-prediction,None
/dlyzer,Problem with Lasagne/Theano,"I am trying to use Lasagne with squared_error objective but I am getting the following error: ''ValueError: GpuElemwise. Output dimension mis-match. Output 0 (indices start at 0), working inplace on input 0, has shape[1] == 1, but the output's size on that axis is 1000.'' I made some changes to the mnist example to run regression. For example, I changed: output_dim=1 y_train=theano.shared(lasagne.utils.floatX(y_train)) loss calculation: pred_out = get_output(output_layer, X_batch, deterministic=True) loss = squared_error( pred_out, y_batch ) loss = aggregate( loss, mode='mean' ) What could I be doing wrong? Comments are most appreciated. Thanks.",0,None,1,Wed Aug 05 2015 23:36:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15793,/competitions/machinery-tube-pricing,87th
/vadimmalykh,Visualization,"Hi! As we know from the course, data visualization is the important part of exploratory data analysis. It helps to understand the data in general, find some patterns and figure out what technics can be used. I personally couldn't find any way to represent this data visually. Are there any good ideas how to visualize this kind of data?",0,None,3,Wed Aug 05 2015 23:38:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15794,/competitions/15-071x-the-analytics-edge-summer-2015,1226th
/smirshekari,The meaning of the values in USABLE_DATE_MON,"If one table the values of USABLE_DATE_MON in ""coupon_list_train.csv"", he obtains: 0 : 1018 1: 11166 2: 224 The rest are NAs. The meaning of the values 0 and 1 is quite obvious (the coupon is or is not available in Monday), but what does the value of ""2"" mean? Any idea?",7,silver,1,Thu Aug 06 2015 02:00:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15795,/competitions/coupon-purchase-prediction,440th
/buenosjumper,test set prediction error,"I'm getting an error when predicting on the test set. The test set only has 10 variable, while the training set had 11. Is there something I'm missing? predTestUn = predict(unbidModelLog, newdata = testUn, type = ""response"") Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : factor description has new levels ***",0,None,1,Thu Aug 06 2015 07:04:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15797,/competitions/15-071x-the-analytics-edge-summer-2015,None
/codesand,Perfect prediction should give 1.0?,"Just want to make sure I understand this MAPk algorithm. In the hypothetical situation where you predicted everything correctly you should get 1.0 right? Because your precision would be perfect? However, judging by [Link]:https://github.com/benhamner/Metrics/blob/master/R/R/metrics.r you can't get 1.0 because some users don't use any coupons, and that gives a zero for that score[i] Also is there a divide by zero in that apk() function? If length of actual is 0.",0,None,7,Thu Aug 06 2015 09:24:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15798,/competitions/coupon-purchase-prediction,498th
/ewandao,How to learn a simple sequence generating rule with RNN / LSTM?,"I made a toy sequence model, to check if current input number is equal to the input number 2 time steps before: when X(t) == X(t-2), output should be 1, otherwise output should be 0. So I generate 1 training sample with 10000 time steps using following python code seq_len = 10000 data = (np.random.rand(1,seq_len,1) * 10000).astype('int') one_pos = np.unique((np.random.rand(seq_len//2) * seq_len).astype('int'))[2:] label = np.zeros((1,seq_len,1),dtype=np.bool) label[0,one_pos,0] = True for pos in one_pos: data[0,pos,0] = data[0,pos-2,0] copy Then I build a LSTM with Keras try to learn this simple rule model = Sequential() model.add(LSTM(1, 16,return_sequences=True)) model.add(Dense(16, 1)) model.add(Activation('sigmoid')) model.compile(loss='binary_crossentropy', optimizer='Adadelta', class_mode=""binary"") model.fit(data, label, batch_size=32, nb_epoch=100, show_accuracy=True) model.predict(data) copy However, from the output, it seems the LSTM couldn't learn this rule, accuracy stuck at 0.6 Epoch 0 1/1 [==============================] - 5s - loss: 0.6941 - acc: 0.4312 Epoch 1 1/1 [==============================] - 5s - loss: 0.6927 - acc: 0.5590 Epoch 2 1/1 [==============================] - 6s - loss: 0.6913 - acc: 0.5790 Epoch 3 1/1 [==============================] - 5s - loss: 0.6900 - acc: 0.6041 ........ Epoch 92 1/1 [==============================] - 4s - loss: 0.6713 - acc: 0.6041 Epoch 93 1/1 [==============================] - 5s - loss: 0.6713 - acc: 0.6041 Epoch 94 copy How should I construct and train a NN that can learn this simple rule? BTW, If here is not the place to get help for these kind of questions, which website/forum should I be looking into instead?",3,bronze,1,Thu Aug 06 2015 10:22:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15799,None,None
/thibmain,DictVectorizer vs LabelEncoder (python sklearn),"Hi everyone, One of the starter scripts ( [Link]:https://www.kaggle.com/sairaviteja/liberty-mutual-group-property-inspection-prediction/rforest/run/41905) makes use of both LabelEncoder and DictVectorizer to transform the categorical data into numerics. Naively, I would believe that this does not add anything since the same information is used (albeit in a different format). So what is the point of using both ? Thanks !",2,bronze,4,Thu Aug 06 2015 13:00:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15800,/competitions/liberty-mutual-group-property-inspection-prediction,1156th
/btgraham,Competition report (min-pooling) and thank you,"Hello. Attached is my competition report. Many thanks to the competition organisers at Kaggle, EyePACS and the California Healthcare Foundation. Thank you also to everyone who posted interesting observations about the dataset on the forums. Some links: The SparseConvNet library (GPL): [Link]:https://github.com/btgraham/SparseConvNet A Git branch for the competition with pre-/post-processing scripts, etc [Link]:https://github.com/btgraham/SparseConvNet/tree/kaggle_Diabetic_Retinopathy_competition Fractional max-pooling [Link]:http://arxiv.org/abs/1412.6071 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88655/2795/competitionreport.pdf",71,gold,7,Thu Aug 06 2015 13:48:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15801,/competitions/diabetic-retinopathy-detection,1st
/ipotap,Normalization for a neural net,"Hi there, I'm trying to apply lasagne NN to this competition (still very much learning). The hazard field is not [0,1]. I normalize it to [0,1], then use NN to predict y_predict (which would be [0,1]). How can I then ""undo"" normalization? Or I don't have to normalize hazard field at all? (but sigmoid activation function in NN will provide result in [0,1] anyway) I guess this is quite straight forward stuff. I would appreciate your help. Thanks.",1,bronze,9,Thu Aug 06 2015 16:16:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15802,/competitions/liberty-mutual-group-property-inspection-prediction,581st
/ikbuzsak,R randomForest parallel,"Hi. I have a problem with random forest. I don't know how to run them on multiple cores in parallel. I tried this: [Link]:http://stackoverflow.com/questions/14106010/parallel-execution-of-random-forest-in-r, but it performs much worse than single thread calculations. In this case much means that x <- trainFea[, 3:34] y <- trainFea$Hazard registerDoMC(cores = 12) rf <- foreach(ntree = rep(2, 5), .combine = combine, .multicombine = T, .packages = 'randomForest') %dopar% { randomForest(x, y, ntree = ntree) copy } runs for 209 seconds while rf <- randomForest(trainFea[, 3:34], trainFea$Hazard, ntree = 10, do.trace = F) copy gives result after 17 seconds. So I guess that I'm doing it wrong. Can someone help me?",1,None,8,Thu Aug 06 2015 16:18:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15803,/competitions/liberty-mutual-group-property-inspection-prediction,49th
/udibr1,Save Kaggle,"The admins of [Link]:https://www.kaggle.com/c/flavours-of-physics changed the rules. The new rules are not well defined. In the process past work become invalid (including the admins own demos) and any future work is at high risk. Kaggle competitors need a ""Bill of rights"" in order to make future competitions successful.",-3,None,15,Thu Aug 06 2015 16:59:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15805,None,None
/boudey,Worth learning Python as an already experienced R user?,"Hi. I recently graduated with a degree in Statistics. At the moment, I am in a data science internship using primarily R. I hope to find a job in the data science field soon after the internship, but have this gnawing question: Is it worth investing my time into learning python. I consider myself not bad at R, and am quite familiar with various machine learning packages, data manipulation tools such as data.table and dplyr, and graphical packages such as ggplot and lattice. Would learning Python, while already being good at R, be a benefit to my career? Or, should I scrap python all together and focus on something like Spark, which, though useful does not seem as promotable in the job fields. I would really appreciate some input on this.",2,bronze,5,Thu Aug 06 2015 18:26:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15806,None,None
/sveitser,Team o_O Competition Report and Code,"Report and code are now available at [Link]:https://github.com/sveitser/kaggle_diabetic and the report is also attached below. Thanks again to teammate Stephan, Kaggle, the California Healthcare Foundation and EyePACS as well as everyone who competed! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88693/2797/report.pdf",16,silver,20,Thu Aug 06 2015 19:09:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15807,/competitions/diabetic-retinopathy-detection,2nd
/floriangauger,Cheating,"Hi fellow detectives, I just got a huge drop in motivation when I discovered that the correct solutions are available online. Is there any way to keep people from improving their solution with additional data? Do the top submissions need to provide code after the competition finishes?",0,None,7,Thu Aug 06 2015 19:30:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15808,/competitions/sf-crime,1195th
/leustagos,Blah - XGB,"In this script 'preds2' is random. If you dont believe it, save to a file. The way the script is using dictvectorizer results in different mappings for train and test. In other words, this script overfits very badly…",4,bronze,33,Thu Aug 06 2015 20:28:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15809,None,None
/vicensgaitan,t-SNE Embedding of tau -> 3 mu events,"Some insights into the Real Data / Monte Carlo data distribution in training, test and agreement_check data sets. With a bigger sample, the projection shows more structure.",0,None,3,Thu Aug 06 2015 20:49:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15810,None,None
/carloshuertas,Using GraphLab Create for the competition,"From the [Link]:https://www.kaggle.com/c/dato-native: For details on using GraphLab Create for the competition, check out [Link]:http://blog.dato.com/kaggle-competition-stumbleupon-and-dato-ask-whats-truly-native. Result (at least at this moment): Page not found Error 404",0,None,2,Fri Aug 07 2015 00:06:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15817,/competitions/dato-native,13th
/udibr1,quantize,see this comment [Link]:https://www.kaggle.com/c/flavours-of-physics/forums/t/15740/to-admin-is-it-ok-to-use-non-physics-featres/88748#post88748,0,None,1,Fri Aug 07 2015 02:32:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15819,None,None
/udibr1,Example of sPlot weights,I tried to understand how the weights in check_agreement.csv were computed. After reading the [Link]:http://arxiv.org/abs/physics/0402083 I tried to summarize all my understanding and to reproduce the same distrbution of weights given by admin. I think I got a resonable results in the [Link]:https://github.com/udibr/flavours-of-physics/blob/master/sPlot.ipynb Please inform me of any error and I will fix the notebook (sPlot is a useful tool but it looks like it is unknown outside the physics community.),2,bronze,1,Fri Aug 07 2015 03:24:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15820,/competitions/flavours-of-physics,24th
/anlthms,Convnet: AUC 0.934,"Thanks to Tim Hochberg and Alexandre Barachant for publishing their code! This script is not a fork, but I have borrowed ideas from them. This is a rather straightforward convnet implementation with 1D convolutional and maxpooling layers. To generate a submission file, you will need to set 'validate' to False in the code. I don't know what the current time limits are on the Scripts platform. Training on the full dataset takes about 20 minutes on my laptop, so it probably won't finish on Scripts. When in 'validate' mode, the script trains the network on series 7 data and validates on series 8. It then prints the validation AUC for each subject. In order to run locally, you'll need neon, which can be downloaded from here: [Link]:https://github.com/NervanaSystems/neon The code can be easily configured to run on a GPU, but it probably won't help much with 1D convolutions. A few ideas on how to improve the accuracy of this code: It currently uses raw signals as input. The function prep() is a placeholder for any preprocessing that one might want to apply. Doing some bandpass filtering should help. Adjust the time window that is sampled over for each observation. The window size is currently set to 1024 samples. Adjust subsampling. Currently every 16th sample is picked. Run for more epochs. Might have to play with rho and epsilon in that case (they control the learning rate). Make the network deeper and/or wider. To make the convolutional layers wider, increase the number of output feature maps (via the nofm parameter, which is set to 16 in the code). Add DropOut layers as necessary to control any overfitting that might result. Good luck!",14,gold,47,Fri Aug 07 2015 04:27:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15822,None,None
/gaohuazuo,How exactly is the test set split for public and private leaderboard? ,"The leaderboard page said: This leaderboard is calculated on approximately 30% of the test data. If '30% of the test data' above means 30% of the purchase record, the following problem arise: Information about the 310 test coupons is leaked. In other words, we can use public board data to improve private board score. On the other hand, if '30% of the test data' means 30% of the test coupons, another problem arise: If we focus our prediction on 'public' test coupons (or 'private' test coupons), we should significantly improve our score on public board (or private board respectively).",1,None,10,Fri Aug 07 2015 04:28:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15823,/competitions/coupon-purchase-prediction,501st
/alexxanderlarko,Xgboost_al0708,Score LB=0.384575,0,None,10,Fri Aug 07 2015 05:11:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15824,None,None
/scully,Welcome & Getting Started,"Welcome! To get rolling, we have two baseline scripts attached: process_html.py: processes the html to extract the core content, links, and urls for images. classifier.py: is an intentionally modest baseline script which extracts some basic features and changes. The baseline uses GraphLab Create, the core product our team, at Dato, built for other data geeks like us. You can use any tools for the competition, of course, but we'd love to see how far you can get with GLC. GLC has been used for a number of competitions. Check out our [Link]:http://blog.dato.com/kaggle-competition-stumbleupon-and-dato-ask-whats-truly-native for how to register and get started w/GLC and then, please beat-the-baseline! Game on! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88773/2798/process_html.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88773/2799/classifier.py",3,bronze,23,Fri Aug 07 2015 06:48:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15825,/competitions/dato-native,None
/jiweiliu,0.95 already??,"Wow, [Link]:https://www.kaggle.com/NxGTR, impressive! Is it bag of words? :P",1,bronze,22,Fri Aug 07 2015 07:07:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15826,/competitions/dato-native,4th
/dziduchm,R XGBOOST starter script,"Really nice piece of code, well done. Could you please explain more about this piece of code? ""replace factors with level mean hazard"" What is happening there, and why you replacing categoricals like this? Cheers",0,None,6,Fri Aug 07 2015 08:06:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15827,None,None
/vicensgaitan,t-SNE embedding plots using 20% of the data,"The the script's timeout prevents to use more than 3% of the data, so I'm attaching some more interesting plots using 20%. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88791/2802/Train.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88791/2803/All.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88791/2804/Real Data.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88791/2805/Agreement.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88791/2806/MonteCarlo.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88791/2807/Test.png",3,bronze,1,Fri Aug 07 2015 10:25:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15828,/competitions/flavours-of-physics,15th
/abhishek,total number of html files?,Im getting 67536… thats the total number of HTML files? EDIT: this issue is fixed.,1,bronze,10,Fri Aug 07 2015 11:47:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15830,/competitions/dato-native,23rd
/domcastro,First submission / team merger - 30th or 9th?,The timeline dates doesn't match the timeline graphic with the little blue dot,2,bronze,1,Fri Aug 07 2015 12:05:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15831,/competitions/dato-native,100th
/abhishek,What do we do with empty files?,For example: 2851560_raw_html.txt 2309400_raw_html.txt 1650252_raw_html.txt ….. are empty…,1,bronze,15,Fri Aug 07 2015 12:50:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15832,/competitions/dato-native,23rd
/colinpriest,Tutorial 2: Using R in This Competition,"Hi All, My second blog on this topic has been released. [Link]:http://colinpriest.com/2015/08/07/denoising-dirty-documents-part-2/ Colin",0,None,1,Fri Aug 07 2015 17:51:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15833,/competitions/denoising-dirty-documents,2nd
/merwin,Logistic Regression with R (0.65+),Looks well done. Why did you only use data from one side of the brain instead of using both?,0,None,2,Fri Aug 07 2015 17:52:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15834,None,None
/gaohuazuo,Some purchases not counted?,"The description page says: Using past purchase and browsing behavior, this competition asks you to predict which coupons a customer will buy in a given period of time. So only purchases that happened in the same week as coupon release count? If so, we should definitely want a ""time between release and end of week"" feature.",0,None,4,Fri Aug 07 2015 17:53:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15835,/competitions/coupon-purchase-prediction,501st
/papadopc,Predicting crime categories with address featurization and neural nets,"Hi all, I'm uploading my ipython notebook that currently has the highest score, 2.26757. This borrows a lot from Smerity's script [Link]:https://www.kaggle.com/smerity/sf-crime/fighting-crime-with-keras and uses the keras library. [Link]:http://keras.io/ In addition, I am featurizing the address data by using a count featurizer inspired by the Microsoft Azure count featurizer [Link]:https://msdn.microsoft.com/en-us/library/azure/dn913056.aspx This is my first public script, and I think there is room for optimization especially in memory usage and time complexity of the address featurizer. The script uses 128 hidden nodes in the neural net, gets a cross-validation score of 2.18310275473 and a kaggle score of 2.28338. It takes roughly 1 hour to run on an 8 core desktop with 8 GB RAM, though as I said there is room to optimize that. The same script with 512 hidden nodes gets the 2.26757 kaggle score. A logistic regression with the same features gets 2.21988415373 CV score and 2.30872 kaggle score. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88833/2808/crimeSF_NN_logodds.ipynb",22,bronze,23,Fri Aug 07 2015 18:29:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15836,/competitions/sf-crime,11th
/vicensgaitan,Regularized Learning using Control Channel Data,"As a suggestion from Tim Head, just tested my model using the synthetic data from the ipython notebook [Link]:http://t.co/kF40NpHHIz with interesting results There is an optimal value for the regularization parameter (yep, there is one) that minimizes the KS in the control channel data (with a KS value far from 0) (See KS.png) When decreasing the KS, the AUC_R measured over real data increase up to an optimal value corresponding to the minimum of KS AUC over simulated data and AUC _R are positively correlated, but with a bias (see AUC_AUCR.png) Not sure how estimate this bias using the current data. For the minimal value of KS the model obtains AUC =0.9984177, AUC_R=0.9652983, KS=0.14805 Halfway to the optimal values obtained by completely ignoring the X1 variable AUC=0.98223417, AUC_R=0.98136828, KS=0.04544 So there is still room for improvement. This methodology doesn’t try to identify control data, but introduce confusion in the training samples when their variables match control data easily identified as Real data or MonteCarlo. In this sense, probably is not cheating… I hope so… [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88835/2809/KS.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88835/2810/AUC_AUCR.png",2,bronze,6,Fri Aug 07 2015 18:38:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15837,/competitions/flavours-of-physics,15th
/del=2612cfbf105b37da,Are probabilities necessary for this competition?,Do we need probabilities? Cant we use a ranking system for data? The count of what happens most in a certain scenario?,0,None,1,Fri Aug 07 2015 20:13:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15839,/competitions/sf-crime,None
/tjungblut,Malware,Some files apparently contain [Link]:http://www.microsoft.com/security/portal/threat/Encyclopedia/Entry.aspx?Name=JS/Faceliker amongst other malware. So be mindful when opening them as rendered HTML pages :),11,silver,2,Fri Aug 07 2015 20:20:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15840,/competitions/dato-native,None
/wikunia,New Mexico Shapefile,"Pretty sure you as a Python Dev already realized it. It isn't possible to draw the shape of ""New Mexico"" using readshapefile('../shapefiles/pums/tl_2013_35_puma10',name='state', drawbounds=True) copy Any ideas how to fix this issue?",1,None,1,Fri Aug 07 2015 21:17:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15841,None,None
/annavictoria,Earnings by Occupation & Sex,"The breakdown of gender in different industries feels a bit off. (For example, ~77% women in Military.) Could be due to small sample size or an issue with the data?",1,bronze,1,Fri Aug 07 2015 22:45:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15842,None,None
/annavictoria,"Wake me up, before you go go...","This is our script of the week! I've added a ""Script of the Week"" badge to your profile. Thanks for sharing great content… and for continuing to improve it into this awesome blog-style post :)",2,bronze,10,Fri Aug 07 2015 22:47:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15843,None,None
/mylesoneill,Gaming Subreddit Word Clouds,I decided to extend on [Link]:https://www.kaggle.com/hamelg/reddit-comments-may-2015/testing to create a bunch of related word clouds to see the differences. I'm sure there are a lot of other cool topics this could be tried on.,0,None,2,Sat Aug 08 2015 01:02:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15844,None,None
/jinfengfeng,Why my submissions always have 0.3 or 0.4 AUC scores? ,"Hi, I meet a problem that all my submissions score below 0.5. When I forked the code in script ""Low freq 0.80+ refactored"" and ran it on Kaggle platform I can get a score a little higher than 0.8, but when I download it and run exactly this same code on my GPU machine the final submission scores only 0.37. Again, I downloaded Tim's code in script ""Naive NNet 0.71+ / 0.90+"" and made a few modifications and run it on my GPU machine. The validation score is above 0.9. But when I submit the csv result, it scores only 0.43. The training and validation use separate series of data. I'm almost crazy about this. Can anyone tell me why? Thanks a lot!",0,None,7,Sat Aug 08 2015 03:02:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15846,/competitions/grasp-and-lift-eeg-detection,25th
/superching,Is data can be used on meetup tutorial,"I have a computer room , I just copy the data to each computers to give audience a hand-on tutorial. I don't transmit the data outside my computer room. Is that Valid? I am interesting using data of Titanic competition and there is only one relevant rule about data using. No private sharing outside teams Privately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums. One question besides, If the rule says ""data is used only for purpose of competition"" ，then in this case, am I have permission to give tutorial on such data? probably not?",0,None,1,Sat Aug 08 2015 03:51:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15847,None,None
/suriya,Preprocess the data,I tried binarizing the categorical values as part of pre processing. and used GBR method to fit and it came to 29% I tired other classifiers but 29% is the highest I have reached. I think there is a different way of preprocessing. Can you share how you have preprocessed the data and the categorical attributes?,0,None,1,Sat Aug 08 2015 06:57:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15848,/competitions/liberty-mutual-group-property-inspection-prediction,1418th
/jimenezluna,Amounts of ram,"Can anyone load the entire test bag of words dataset into main memory, or…? Are you predicting in batches. Are you predicting 1 observation at a time. 8 GiBs don't seem to be cutting it for me this time :\",4,bronze,6,Sat Aug 08 2015 17:24:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15849,/competitions/dato-native,None
/coolhand,"""Peaks"" in response","Notice how at at 1, 4, 7, 10…etc there seems to be some peaks. (See attached subset of data (<20 hazard counts)). A little curious about that. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88910/2816/histogram_train.pdf",2,bronze,3,Sat Aug 08 2015 18:42:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15851,/competitions/liberty-mutual-group-property-inspection-prediction,None
/shahneil,ratings.dat and rec_runner.py files missing,"Hi, I have recently joined this competition. I am not able to find rec_runner.py file in Data folder. Could anyone please help me on this? Thanks",0,None,5,Sun Aug 09 2015 05:34:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15855,/competitions/movie,None
/vykhand,Confused about PRICE_RATE in coupon_list,"(UPDATED) The data description says: PRICE_RATE Discount rate That makes me think it should be equal to DISCOUNT_PRICE divided by CATALOG_PRICE. However, this is not the case at all. It is sometimes equal to DISCOUNT_PRICE / CATALOG_PRICE, sometimes not. Can someone please elaborate? attached are two screenshots : CATALOG_PRICE /DISCOUNT_PRICE and DISCOUNT_PRICE / CATALOG_PRICE [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88945/2819/2015-08-09 12_04_45-C__GDRIVE_40.PROJECTS_DM.KAGGLE_Coupon - master - RStudio.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/88945/2820/2015-08-09 14_11_51-C__GDRIVE_40.PROJECTS_DM.KAGGLE_Coupon - master - RStudio.jpg",0,None,2,Sun Aug 09 2015 12:05:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15857,/competitions/coupon-purchase-prediction,663rd
/longwaytothetop,Same coupon multiprediction,"Hi all, In coupon_detail_train.csv we have ITEM_COUNT column which described as ""Purchased item count"". I suppose it's meant, what user bought this coupon multiple times (if item_count > 1). Should we consider such situations in prediction and submission? For example, user_1 bought coupon_1 (x2) and coupon_2. What submission expected: 1) user1, coupon_1 coupon_1 coupon_2 Or 2) user1, coupon_1 coupon_2",1,bronze,2,Sun Aug 09 2015 22:05:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15860,/competitions/coupon-purchase-prediction,803rd
/koalaking,Hope contest admin can answer this question,"For some user A, is it possible user A can appear in both device_train and device_test? Thanks",0,None,3,Mon Aug 10 2015 00:09:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15861,/competitions/icdm-2015-drawbridge-cross-device-connections,77th
/tanmedia,Allocation of Points from Competition,I was wondering if anyone has been allocated % points from the competition. I haven't been allocated any points as yet and I am wondering if they will be added at a later date.,0,None,11,Mon Aug 10 2015 02:54:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15862,/competitions/15-071x-the-analytics-edge-summer-2015,402nd
/shaikhul,Looking for voluntary/internship in data science in sydney,"Hi all, I am studying data science in a Sydney University. I am new to data science but have IT (software) business analysis experience and have statistical knowledge/background from my previous research degree. To become a Data Scientist is my ultimate career goal. In order to use data science in a real world scenario for experience I was wondering if you help me through the journey - possibly by providing some information with the companies who offer internship/volunteer job opportunities in Sydney or elsewhere. Your help is much appreciated. Cheers Shaq",2,bronze,1,Mon Aug 10 2015 04:12:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15863,None,None
/chefele,Kaggle Competition Medal Count Analysis,Nice analysis! I also wonder how the countries would stack up if the medal counts were normalized by each country's population (or by [Link]:https://en.wikipedia.org/wiki/List_of_countries_by_English-speaking_population…or the [Link]:http://www.internetlivestats.com/internet-users-by-country/),4,bronze,3,Mon Aug 10 2015 04:38:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15864,None,None
/sinakhan,Using NER Data for Publications,"Hello Everyone, I just wanted to ask if I can use this dataset for academic purpose and research publications. If I need permission for academic usage of this dataset, please let me know whom I should contact to get the permission. Thank you.",1,None,1,Mon Aug 10 2015 04:54:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15865,/competitions/inria-bci-challenge,None
/jinwon,How to handle data with no labels at all,"How do you guys handle with data with no labels for all of the events. Especially if your are using a neural network with a softmax output, I think it would be hard to model data with no labels. A possible solution might be using a binary model for all of the six labels. But is this the only way to solve this problem? How can I deal with this problem?",0,None,3,Mon Aug 10 2015 06:42:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15866,/competitions/grasp-and-lift-eeg-detection,None
/shifanmao,Missing a row?,"Hi there, Just a quick question for everyone. When the submission rule says 28000 rows are needed, I assume 28000 predictions are to be made. However, when I look at the test file, it only has 27999 rows of data plus a header. Is the data missing a row? Or am I not understanding it correctly? -- never mind, I figured this out as I used pandas in python to drop the headers",1,None,1,Mon Aug 10 2015 07:05:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15867,/competitions/digit-recognizer,None
/dataseer,Inflation adjusted costs?,"Some of the quotes date back to 1982. Are the costs adjusted for inflation? Thanks, Team PointSeer",6,bronze,2,Mon Aug 10 2015 09:55:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15868,/competitions/machinery-tube-pricing,82nd
/khanna,submission scored null? please help.,Your submission scored null ? what does that mean?,0,None,4,Mon Aug 10 2015 15:23:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15869,/competitions/liberty-mutual-group-property-inspection-prediction,579th
/qcwsf110,Looking for a team,"Hi Kagglers, I am Lewis . I am a freshman in machine learning, but I have a dream of being a data scientist. I am wondering if anybody would like to be my partner? Please let me know! Thanks! btw: I am a Chinese. Lewis",0,None,41,Mon Aug 10 2015 18:43:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15872,/competitions/titanic,None
/bobalv,convnets rule?,"I am interested in the uniformity of approaches taken by those who have posted here. Every one used a convolutional neural network. A quick read indicated that all used the same python based development tools. Yet if you search the very large literature on diabetic retinopathy detection almost all references use what I would call classical computer vision techniques: preprocessing; localization and segmentation of the optic disk; segmentation of the retinal vasculature; localization of the macula and fovea; localization and segmentation of retinopathy. I am curious the reason for this divergence in approaches. Is it because the convnet approach is so much superior? Did anyone use the ""classical"" approach and not report it? Is anyone aware of references where the two approaches are compared quantitatively?",2,bronze,7,Mon Aug 10 2015 19:23:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15873,/competitions/diabetic-retinopathy-detection,None
/nimashahbazi,legal or not?,"I have an assumption on what the drawbridge company has done on the data and some other guess on the nature of the data that may help the participants, is is legal that I share it in public?",3,bronze,10,Tue Aug 11 2015 05:07:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15877,/competitions/icdm-2015-drawbridge-cross-device-connections,7th
/ericchio,Debugging discrepancies between CV and LB scores,"I currently have a model that splits the training into 5 CV folds to get an averaged gini score with std. However, it occurred to me multiple submissions that even though my CV score is 0.38-ish, I only ever got 0.35-ish in LB. Now, I note that there can be severe overfitting in LB so I want to trust my CV. However, given the rather ~0.03 discrepancy, this looks really suspicious. What should I be looking for in this case - or mistakes? Description of CV loop: Generate 5 folds in KFold (scikit), 20% as validation set. For each fold, do the following: Construct dtrain as training set, and dcv as validation set. Train model (xgboost) on dtrain with early stopping on dcv. Validate on dcv and calculate the gini score. After the folds are used up, average gini score. As I am typing, I realize that I could be wrong to use the dcv as early stopping AND as validation set. Right? Anyhow, I could have made worse mistakes. Thank you! # Side note: I noticed the shared scripts does not do any CV validation. Not sure why is that the case… looks dangerous to me.",1,bronze,28,Tue Aug 11 2015 07:48:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15878,/competitions/liberty-mutual-group-property-inspection-prediction,836th
/phanisrikanth,Creation of train and test sets,"Hello participants, Noob question. I'm facing difficulty in creating train and test sets, a traditional ML problem setting. I guess the number of competitors is way lower than other competitions due to this very reason. Could anyone of you share a (vague) approach so that the others can get upto speed? I hope I'm not asking too much here. Thanks.",0,None,3,Tue Aug 11 2015 20:31:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15881,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/ana4min,basic,"This is my first attempt at analysing EEG data and time series in general, and I have a few very basic questions. A few channels seem to have negative readings, how should I interpret this? Is the current going in the other direction, does this mean the activity is inhibitory? In other words, what is the baseline? Also, the average for each channel seems very different, what is the meaning of this, and should I worry about this, or just demean each time window I am considering (wouldn't I eliminate potentially interesting low-frequency signal if I do this)?",0,None,2,Tue Aug 11 2015 20:34:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15882,/competitions/grasp-and-lift-eeg-detection,None
/jgraves,Advise on making predictions given collection of dimensions and corresponding probabilities,"I am a CS graduate but am very new to data science. I could use some expert advise/insight on a problem I am trying to solve. I've been through the titanic tutorial which I think was helpful but my problem is a bit different. I am trying to predict diabetes risk based upon Age, Sex…and other factors given this data: [Link]:http://www.healthindicators.gov/Indicators/Diabetes-new-cases-per-1000_555/Profile/ClassicData The data gives new cases people per 1,000 people for each dimension (Age, Sex…etc). What I would like to do is devise a way to predict, given a list of dimensions (Age, Sex…etc) a probability factor for a new diagnosis. So far my strategy is to load this data into R and use some package to create a decision tree, similar to what I saw in the titanic example. Then feed in a dimension list. However, I am a bit overwhelmed. Any direction on what I should be studying/packages would be helpful.",-1,None,2,Tue Aug 11 2015 21:05:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15883,None,None
/shashankc,Xgboost different between Python and R?,"MAIN QUESTION: Is there an implementation difference in Xgboost in Python and R, because using the same matrices and parameters is giving very different results. I replicated Jakshere's sample R code using Python. His code basically does One hot encoding of the variables. I wrote a code which saves the final matrix generated in both codes to a file and calculates a diff between the two matrices. There are absolutely no differences between the values in the two matrices. I use exactly the same parameters in Xgboost using python and R. What is confusing me is that I have tried a number of different seeds and the R code continually outperforms the python code by a magnitude of 0.03 on the leaderboard, which is fairly significant. So, the R code will give values in 0.24-0.25 range, while the python code gives 0.28. I'm not able to understand how this can happen. Assuming the matrices are the same: Jakshere's R code: cost.log <- log(cost+1) # treating cost as log transfromation is working good on this data set tr.x <- xgb.DMatrix(tr,label = cost.log) te.x <- xgb.DMatrix(te) par <- list(booster = ""gbtree"", objective = ""reg:linear"", eta = 0.5, min_child_weight = 1, gamma = 1, subsample = 0.9, colsample_bytree = 0.9, max_depth = 15, verbose = 1, scale_pos_weight = 1) n_rounds= 200 x.mod.t <- xgb.train(params = par, data = tr.x , nrounds = n_rounds) pred <- predict(x.mod.t,te.x) head(pred) for(i in 1:50){ x.mod.t <- xgb.train(par,tr.x,n_rounds) pred <- cbind(pred,predict(x.mod.t,te.x)) } pred.sub <- exp(rowMeans(pred))-1 pred.sub[which(pred.sub < 0)]=0 copy Python: train_data = sparse.csr_matrix(train_data) test_data = sparse.csr_matrix(test_data) print('fitting to test data....') n_runs = 50 for i in range(n_runs): print('test run: %d' % i) clf = xgb.XGBRegressor(n_estimators = 200, seed = 42, learning_rate= 0.5, max_depth=15,min_child_weight=1,gamma=1,subsample=0.9,colsample_bytree=0.9) clf.fit(train_data,label) temp_preds = clf.predict(test_data) if i == 0: tot_preds = temp_preds else: tot_preds += temp_preds preds = np.expm1(tot_preds/n_runs) for i in range(preds.shape[0]): if preds[i] < 0: preds[i] = 0 copy",1,None,2,Wed Aug 12 2015 00:56:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15885,/competitions/machinery-tube-pricing,115th
/mmueller,Hazard Means of Factors,inspired by [Link]:https://www.kaggle.com/rocelot/liberty-mutual-group-property-inspection-prediction/factortonumeric .:cheers:.,1,bronze,1,Wed Aug 12 2015 08:07:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15887,None,None
/georgesolymosi,AUC issue?,"I tested the ""scripted"" Rf + Xgboost. Then I made my own solution. I proceeded according all the required metrics: CvM done. KS done. AUC done. I've got a quite good AUC score, so then I submitted it, but surprisingly I've got 0.979 on the public LB! I checked again and again: Made the RF + XGB according the metrics I used before: 0.983-0.984 depending on the validation set. Checked again my model, and yes with the same higher AUC score. Then back to submission again: AUC: 0.979 ""no improvement etc…."" I checked twice (rather much more): I applied the min_ANNmuon > 0.4 filter, I used several different validation set. Where could be the problem yet? Where did I make a mistake? Thanks in advance. UPDATE: When I made two other submission with other two different model configuration, I got the same approx. 0.979 AUC value.",1,bronze,5,Wed Aug 12 2015 15:10:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15905,/competitions/flavours-of-physics,12th
/elenacuoco,Downsampling and aliasing,"Hi, in most of the recent high score scripts is implemented a downsampling of the data, without a low-pass filtering. Does this not introduce aliasing in the data? Are the result correct if we do downsampling in this way?",2,bronze,6,Wed Aug 12 2015 16:29:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15907,/competitions/grasp-and-lift-eeg-detection,3rd
/avishek,Leaderboard overfitting!!,"Hi All, Would like to know if anyone thinks that using the kaggle scripts of this competition, we might be overfitting the LB. I'm referring to the xgboost scripts which use first and last 4000 obs from training to find boost_iters. Reason why I feel these scripts might be overfitting LB is because when I make a submission with boost_iters found through k-fold CV and final model built on full data I always get 0.388ish or 0.387ish. But when using these scripts its always 0.39ish. Makes me think if the scripts are actually right or just overfitting. If the latter, then we may see a private LB shatter. Please share your experience and opinions. Thanks Avishek",0,None,8,Wed Aug 12 2015 16:38:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15908,/competitions/liberty-mutual-group-property-inspection-prediction,113th
/yejiming,How about using GraphLab Create models?,I think the main difficulty is there's no SVD in GraphLab Create,1,None,17,Wed Aug 12 2015 18:40:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15910,/competitions/dato-native,46th
/karmapolice,Using Overfeat as classifier: general categories?,"Hello. I am trying to use Overfeat as classifier with just the pre-trained ImageNet data, to see how good it performs for this challenge. The problem is the classifier extracts very specific classes such as ""fox terrier"", ""dalmatian"", ""persian cat"", making it difficult to automatically assign each result to ""dog"" or ""cat"". Is there any way to extract more general classes? It looks like ImageNet has subtrees for ""domestic cat"" and ""domestic dog"", but I am not sure if those are used as classes or just for visual organization. Thank you very much.",2,bronze,2,Wed Aug 12 2015 19:49:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15912,/competitions/dogs-vs-cats,None
/bekbolatov,CV score vs LB score,"One of the reasons for lower CV score is that to make CV scores we have to rely on a smaller training set, and thus naturally prediction will be worse in CV. Is your model sensitive to the label distribution in the evaluation set? How close are your CV and LB scores?",0,None,1,Wed Aug 12 2015 19:49:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15913,/competitions/liberty-mutual-group-property-inspection-prediction,33rd
/ryanlouie,Debugging Graphlab Create Optimizers,"I attempted to fit a logistic regression classifier on the entire training data set, but ended up with a warning during training: PROGRESS: Logistic regression: PROGRESS: -------------------------------------------------------- PROGRESS: Number of examples : 96052 PROGRESS: Number of classes : 2 PROGRESS: Number of feature columns : 2 PROGRESS: Number of unpacked features : 1781200 PROGRESS: Number of coefficients : 1781201 PROGRESS: Starting L-BFGS PROGRESS: -------------------------------------------------------- PROGRESS: +-----------+----------+-----------+--------------+-------------------+---------------+ PROGRESS: | Iteration | Passes | Step size | Elapsed Time | Training-accuracy | Validation-accuracy | PROGRESS: +---+----+--------------+---------------+-------------+-------------+ PROGRESS: | 1 | 7 | 0.000001 | 7.679090 | 0.746294 | 0.621167 | PROGRESS: Warning: Unusual termination criterion reached. Returning the best step found so far. PROGRESS: Warning: Rounding errors prevent further progress. There may not be a step which satisfies the sufficient decrease and curvature conditions. Tolerances may be too small or dataset may be poorly scaled. I ran the same test, on a subset of the data (bucket0), and it trained for 10 iterations yielding satisfactory results. Has anyone else encountered this issue? Please let me know also if there is a GraphLab-Create User Group where I can direct this specific question too (if this is not the appropriate forum to post)",0,None,7,Wed Aug 12 2015 23:27:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15915,/competitions/dato-native,None
/chrisc4,My Titanic Survior in Spark/PySpark Diary,"Greetings, I admit that I was inspired by the R Diary I saw in the forums and by some of the amazing tutorials that people had put together for this project. That said, I did not see a ""Getting Started In Spark"" shortcut on the main page and I wish that there was one. So, since there isn't and a scan of the forums does not turn up a Titanic Survivor solution in Spark, I am going to give it a shot, BUT ABSOLUTELY WELCOME ANY HELP AS I AM A TOTAL BEGINNER (which is why I'm on this project vs. the ones that pay $50k :) To get started: I worked through a few of the posted tutorials and have a decent grasp of the models required for this project, therefore, I think have enough information to be dangerous, so here goes…",1,bronze,10,Wed Aug 12 2015 23:42:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15916,/competitions/titanic,None
/alielhassouni,What is your best LB/CV score achieved with a single model?,What is your best LB/CV score that you achieved with a single model? My best submission was achieved with a single XGBOOST model.,0,None,8,Thu Aug 13 2015 01:06:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15918,/competitions/machinery-tube-pricing,44th
/priyankmathur,Users with no PREF_NAME,"Data section mentions in Notes for user_list.csv that users with no PREF_NAME are not registered. However, in the coupon_detail_train.csv I can find entries of such users with purchases. Can someone explain what does no PREF_NAME imply? Is there a reasonable default that can be assumed?",1,bronze,1,Thu Aug 13 2015 01:40:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15919,/competitions/coupon-purchase-prediction,732nd
/priyankmathur,NaN for VALIDPERIOD,Does nan for validperiod imply always valid?,0,None,1,Thu Aug 13 2015 01:44:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15920,/competitions/coupon-purchase-prediction,732nd
/alexsad,What's next ? Looking for advice.,"Hi, So we put together some models, but being complete novices in machine learning, we are looking for potential advice on what to explore next. Right now, we are sitting at 0.389869 with an ensemble of XGBoost and Random Forest. We also got 0.389654 with an ensemble of XGBoost, Random Forest and ExtraTrees. We already explored bagging and used it to improve our Random Forest and ExtraTrees. At this point we are kind of stuck and don't know what to look for in order to further improve, so any advice would be good.",1,bronze,4,Thu Aug 13 2015 03:29:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15921,/competitions/liberty-mutual-group-property-inspection-prediction,73rd
/abednadir,Stacking with Xgboost or gbm,"Hello, I believe that having hugely important features in a RF or a gbm model will make the model ""lazy"" and it's no surprise that when I include 3 predicted columns in my new training set (I used out of sample predictions) I have 3 vastly more important features and I don't think my model is using them correctly. I think the gbm model has a ""weights"" argument so should I use that? I'm sure that people have successfully stacked with these before so any help would be great. Thank you",3,bronze,14,Thu Aug 13 2015 04:13:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15922,/competitions/liberty-mutual-group-property-inspection-prediction,45th
/liliya,comp_nut,"another data problem (!!): please, have a look at the column ""thread_size"", where you will find strange symbols ""M6 - M12"". They stand for standard thread sizes, and the corresponding values maybe found in the next column ""thread_pitch"". Surely, those values must be replaced by another more appropriate values.. (after some basic analysis, you will find those values easily)",1,bronze,2,Thu Aug 13 2015 10:00:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15923,/competitions/machinery-tube-pricing,None
/wolfganggross,Keras Index Batch Iterator,"I rebuild Tim Hochbergs (thanks for the script ;-) NN with Keras, but I could't figure out how to build a Index Batch Iterator in Keras. For now I'm loading all the data for a subject into the RAM, which works but is a pain. Has anyone done this, and can help me? Thanks!",0,None,1,Thu Aug 13 2015 10:17:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15924,/competitions/grasp-and-lift-eeg-detection,128th
/mardoe,Technical Discussion: Efficient Computation of Shared Properties in R (?),"Hi, for the candidate cookie<>devices pairings, I am trying to determine the shared set of properties. Doing this in the relational world via joins is too memory-consuming because of large intermediate result sets which would need to be created. So I am trying to achieve this by constructing nested hash sets in R (see code attached). I am starting from a 2 GB data table, but the procedure easily eats up my 32GB of memory after a while. Am I doing something wrong (I don't think/hope so because for a smaller subset it yields the desired result) or is there technically a better way of doing this in R? Otherwise I finally will resort to a decent programming language like python or java for this… Thanks for any feedback [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/89322/2829/r-hashing.txt",0,None,5,Thu Aug 13 2015 23:21:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15929,/competitions/icdm-2015-drawbridge-cross-device-connections,37th
/attud27,10-fold CV,"Hi, I just joined the competition. My purpose is to learn from the experience rather than winning the competition (and at this stage I doubt it is possible ). If I want to tune based on, say 10 fold CV, shouldn't the numerical target values be represented in similar ratio in each training fold as it is in the original training data ? To elaborate, in the original training data, target value 1 appears roughly 37% of the time. Shouldn't my training fold must also have a 37% representation of 1s ? Is there a R package/function that will allow me to do this ? Now, I know those values that shows up only few times (like 69 which appears only once in the training data) can't be subjected to the same process. I am interested about those target values that have a heavy presence in the training data. Any response would be greatly appreciated. Thanks",0,None,4,Fri Aug 14 2015 00:30:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15930,/competitions/liberty-mutual-group-property-inspection-prediction,833rd
/science,Submission error: Number of rows,"Hi, I have 22784 rows in my submitted result (including the header). So there are 22783 data rows. When I submit, I get an error : NUmber of rows has to be 22783. I am not sure why I am getting this error despite having the correct number of rows. My users are listed in the same order as shown in the sample submission file and the coupon Ids are separated by a single space as shown in the following line (hashes are truncated below to fit in a single line but in the submission I use the full hashes). fff4a076,0c01530659 520cb8509 Is there any constraint on the number of coupon ids we can have per user? thanks",0,None,1,Fri Aug 14 2015 03:29:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15932,/competitions/coupon-purchase-prediction,468th
/skylibrary,AUC for each columns/actions,"There are six columns we need to classify: 'HandStart','FirstDigitTouch', 'BothStartLoadPhase','LiftOff', 'Replace','BothReleased'. For me, my AUC on validation set is very high on 'FirstDigitTouch', 'BothStartLoadPhase', and 'Replace', but low on the rest, I am wondering if people have similar results?",0,None,1,Fri Aug 14 2015 03:58:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15933,/competitions/grasp-and-lift-eeg-detection,7th
/jiweiliu,An error when running the tutorial code,"When I am running the [Link]:http://danielnouri.org/notes/category/python/, it gives the following error. Who has an idea about how to fix it? Thank you very much. ImportError: ('The following error happened while compiling the node', pylearn2.sandbox.cuda_convnet.filter_acts.FilterActs object at 0x7fe4348f7690(GpuContiguous.0, GpuContiguous.0), '\n', '/home/jiwei/.theano/compiledir_Linux-3.13--generic-x86_64-with-Ubuntu-14.04-trusty-x86_64-2.7.6-64/tmpASro16/1a8e191531f6614cebf6f443a4d081eb.so: undefined symbol: _ZN8NVMatrixC1EPK11CudaNdarrayiiPKc', '[pylearn2.sandbox.cuda_convnet.filter_acts.FilterActs object at 0x7fe4348f7690(CudaNdarrayType(float32, 4D), CudaNdarrayType(float32, 4D))]')",0,None,1,Fri Aug 14 2015 04:33:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15934,/competitions/facial-keypoints-detection,None
/priyankabotny,"Kmeans Clustering, But How?","Hey All, We are trying to perform Kmeans clustering on the datasets and we would like to know if anyone wants to try on R ? I have tried it but enable to debug. Help! Thanks, pri",0,None,1,Fri Aug 14 2015 05:55:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15935,None,None
/colinpriest,Denoising with R: Part 3,"Unfortunately this script won't run in Kaggle scripts, because it uses the EBImage package from Bioconductor. For a full description of the model, please read my blog at [Link]:http://colinpriest.com/2015/08/14/denoising-dirty-documents-part-3/",0,None,2,Fri Aug 14 2015 07:40:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15936,None,None
/sarumathi94,Can someone tell me an alternative solution,"im.train <- foreach(im = im.train, .combine=""rbind"") %dopar% { im.train <- as.character(im.train) as.integer(unlist(strsplit(im, "" ""))) } Error in { : task 1 failed - ""non-character argument"" Thanks in advance",0,None,2,Fri Aug 14 2015 09:56:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15938,/competitions/facial-keypoints-detection,None
/sanrao,Cannot open csv files,"Hi I'm new to Kaggle and trying to write a program in R. My script is failing at the very first line, where I am trying to read the 'Housing A' file into a data frame: husa <- read.csv(""../input/pums/ss13husa.csv"") The error I get is: Error in file(file, ""rt"") : cannot open the connection Calls: read.csv -> read.table -> file In addition: Warning message: In file(file, ""rt"") : cannot open file '../input/pums/ss13husa.csv': No such file or directory Execution halted I have specified the path as mentioned at the Kaggle website. What am I doing wrong? Other scripts that I have seen, are also doing the same thing, but no one seems to be complaining! Thanks",1,bronze,1,Fri Aug 14 2015 12:05:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15939,None,None
/mmueller,XGB Feature Importance (Python),Feature importance with XGBoost in Python using xgb's get_fscore().,1,None,4,Fri Aug 14 2015 12:56:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15941,None,None
/wcukierski,Welcome!,"Welcome all! This problem has a lot of features and should be a lot of fun. Scripts will be enabled soon, but we want to give you a few days to poke around the data first.",12,silver,10,Fri Aug 14 2015 17:25:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15945,/competitions/springleaf-marketing-response,None
/konradb,Beat the benchmark with gbm,"(Not that) quick, dirty btb [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/89365/2830/btb.R",10,silver,24,Fri Aug 14 2015 18:15:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15946,/competitions/springleaf-marketing-response,12th
/xiaozhouwang,8 featured competitions....,"Wow, that is a lot.",2,bronze,3,Fri Aug 14 2015 19:10:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15947,None,None
/mmueller,Beat the benchmark with xgb,"Hey Kagglers, little python script attached (LB score around 0.68) I wish everyone a nice competition! c-h-e-e-r-s [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/89384/2831/xgb_benchmark.py",10,silver,5,Fri Aug 14 2015 21:08:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15948,/competitions/springleaf-marketing-response,29th
/cvetanka,Coding in R,"Is it possible to write the code for this competition in R, or it's limited only to Python and C ?",0,None,4,Sat Aug 15 2015 03:27:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15949,/competitions/flavours-of-physics,None
/tripletdad,Early stop XGB with caret,"Does anyone have sample script for doing xgb early stop with caret package? I know you need to create a custom method but I'm not having much luck with it. Thx, FR",1,bronze,2,Sat Aug 15 2015 16:22:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15952,/competitions/liberty-mutual-group-property-inspection-prediction,865th
/yejiming,I want to buy a new machine,I think 4GB RAM is not enough for this one.,8,silver,68,Sat Aug 15 2015 16:58:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15953,/competitions/springleaf-marketing-response,237th
/anoophallur,Is something wrong with data format ?,"Hi, I am having trouble reading text using genfromtext() in python. The reason I am suspecting is because the number of columns is not the same in all the lines. There are VAR_0001 through VAR_1934 with VAR_0218 and VAR_0240 missing and id and target in train.csv , making it 1934 columns in train.csv. I count the number of commas in line to determine this. $ sed -n '1p' train.csv | tr -d -c "","" | awk '{print length; }' 1933 same for line 2 as well as most of the lines. But some lines are different But I found alteast one line where there are more fields. For eg line 238 $ sed -n '238p' train.csv | tr -d -c "","" | awk '{print length; }' 1934 i.e there are 1935 columns. There are couple of other lines too. Has anybody noticed this inconsistency ? I guess right now my approach would be to ignore those particular lines and work with the rest(ignoring corrupted data). But before I proceed to do that, I wanted to ask if anybody has faced similar issues and whether I am missing something obvious.",0,None,7,Sat Aug 15 2015 23:43:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15957,/competitions/springleaf-marketing-response,None
/binaryb,Classifing on the basis of EMG?,"Hi everyone, I have this concern about the raw data we got for this competition. Since the recorded Grasp-and-Lift tasks aren't imagery (require the subject to actually perform the movement) the data has a lot of information that comes from muscular activity. In fact this EMG information can be used to help with classification of each phase. If that was an EEG-only research such EMG information would be treated as noise an highpass filtered. Since that is not the case here, someone can use this EMG information to improve his/hers results. Although the accuracy will increase, this will no longer be the EEG classification problem. I would like to know what's the case here? Is using this muscular movement related information fair and the ""EEG"" in the competition's name is just to gain attention, or is it in some way forbidden?",0,None,7,Sun Aug 16 2015 00:20:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15959,/competitions/grasp-and-lift-eeg-detection,350th
/palkeo,Number of files for evaluation,"Hi, Maybe I missed something, but when I want to evaluate my results, I have more rows in my csv than the reference. Because, there are : 67507+67534+67122+67605+67536 (as said in the topic about the number of files) = 337304 files And when counting the number of rows in the csv for training : 101107 rows so, if we take the total number of files and substract the ones for training : 337304 - 101107 = 236197 Which is not the number of rows that the system wants, and not the one that are in the sample submission. I missed something ? Or there is a problem ? Thanks :) palkeo.",1,bronze,3,Sun Aug 16 2015 00:37:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15960,/competitions/dato-native,None
/jiweiliu,Is per subject model allowed?,if subject 1: then … else: then … Is it allowed? Thank you.,0,None,5,Sun Aug 16 2015 04:26:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15961,/competitions/grasp-and-lift-eeg-detection,5th
/fffaraz,Features' range,"Hi, Here's a report of how many distinct values each feature has. EDIT: Updated. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/89487/2836/rep1.csv",12,silver,7,Sun Aug 16 2015 06:28:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15962,/competitions/springleaf-marketing-response,None
/glimmung,Submission problems,"Please be patient with my ignorance. I submit ""IPSig"" transformed so that ""0""+""1"" in Training.Csv should be flat. This gives my score 0.29 -- I reckon it should be 0.95 or so. I then sort Test.Csv on ""IPSig"" and flatten it in [0;1]. Then I get a KS of 0.6. Am I a complete ignoramus in assuming AUC takes no consideration to absolute values, but only to the order of events? I am not using any of the scripts; this is pure enjoyment for me and I write from scratch in C# -- just a simple bug in my code? (enclosed image: train signal/background, agreement signal/background and background test/train after transform ""0""+""1"" flat in Train). Please help!? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/89502/2837/submission.png",1,bronze,4,Sun Aug 16 2015 14:12:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15964,/competitions/flavours-of-physics,334th
/alzmcr,Beat with RandomForest :) [0.73762],"Since it's always an evergreen topic, I've attached a simple script to process the data (only a part of it) for the train and test sets perform a very simple 3-fold cross validation score on the test set and save to submission file It uses pandas, numpy and sklearn! To save some replies, if you're wondering what the following part of the [Link]:https://github.com/alzmcr/springleaf/blob/master/beat_withrf.py#L11, it basically remove columns that are all constants. Which I guess it's a big relief when dealing with almost 2000 columns, even though we are only talking of 54 columns :) Memory-wise unfortunately is not the best scripts, we could convert all the features in 32bits to save some memory, I'm pretty sure that is not going to lose any precision. Other tricks can be implemented, but as I said… this is simple script! :) This should create a submission with .73726 on the public LB which is really close to score you'll get from the cross validation - yey!! One last thing: don't forget that AUC is a sort base score, so if you're using probabilities instead of 0/1 outcomes you'll see a big boots in you score! Repository can be downloaded and browsed at [Link]:https://github.com/alzmcr/springleaf Feedback and improvements welcome as usual! xD [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/89508/2839/beat_withrf.py",18,gold,28,Sun Aug 16 2015 15:24:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15965,/competitions/springleaf-marketing-response,1062nd
/hrantkhachatrian,82nd place solution summary :),"This was our very first project in computer vision and in machine learning in general. We didn't manage to reach the top 10% (as we hoped), but we learned a lot from this contest. Now we would like to share our experience with everyone. Hopefully this will be helpful for the beginners. Also we would be very grateful if you point out more mistakes we have made :) [Link]:http://yerevann.github.io/2015/08/17/diabetic-retinopathy-detection-contest-what-we-did-wrong/ Thank you all for the great contest.",11,bronze,8,Mon Aug 17 2015 00:16:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15967,/competitions/diabetic-retinopathy-detection,82nd
/ml410t2,How do I blackout a submission?,"I am a new to Kaggle, and was looking over scripts of others and assuming I was looking at someone's csv, however by clicking on the CSV I inadvertently submitted this as a new submission. (did not expect clicking on the link will cause this to happen) I'd like to back this out since this was not mine, and this has caused me to jump higher on the leaderboard than my submission. Any suggestions on how I can back this out, so I can get back to my last correct standing.",1,bronze,2,Mon Aug 17 2015 03:10:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15969,/competitions/liberty-mutual-group-property-inspection-prediction,1391st
/sumanlata,Dictionary of variables,Is there a dictionary available that explains definition of variables.,-4,None,1,Mon Aug 17 2015 10:19:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15970,/competitions/springleaf-marketing-response,1777th
/blindape,MAP@10 Inestability,"I'm finding MAP@10 very inestable metric. Given a week is a short period the number of customers with 0 purchases is high and affects directly to this norm (Their scores 0 always independently of your prediction). Using week previous to test period as hold (I named this week '52') my scores are in 0.0113 range, but for week '46' same model scores 0.0063 and for week '10' 0.0047. Probably using a map@k with higher k and / or a truncated map (only take mean of values with purchases) would give more stability. Otherwise I guess this will be a new 'lottery' competition. A couple or random hits affects highly to the metric score. What are the scores you are obtaining in week 52 (previous to test period) as hold?",3,bronze,7,Mon Aug 17 2015 11:46:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15971,/competitions/coupon-purchase-prediction,35th
/konradb,Even quicker btb,"require(readr) xtest <- read_csv(file = ""./data/test.csv"") pred <- read_csv(file = ""./submissions/sample_submission.csv"") pred$target <- rank(xtest$VAR0089)/nrow(xtest) write_csv(pred, file = ""./submissions/single_column_btb.csv"") enjoy LB of 0.64542 :-)",12,gold,4,Mon Aug 17 2015 16:59:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15973,/competitions/springleaf-marketing-response,12th
/tataantares,Machine Learning approach in High Energy Physics explanation,"One of the most common machine learning problems is to find the best predictive model using training data that gives the best predictions on the test data. In the High Energy Physics (HEP) data analysis a machine learning problem is usually formulated a bit differently (it requires a bit of sophistication for both the problem statement and the restrictions). There are several reasons for that. The main reason is that in HEP you verify one of two hypotheses (H_0: decay happens, or H_1: it doesn't) and machine learning is just a step used only for data selection. Imagine we want to train a classifier to differentiate between healthy and infected students. For training we use two samples: infected students from the previous year (as 'signal') and healthy people around the city (as 'background') — we take people outside of the school to avoid possible contamination of our training samples. From the common machine learning perspective you train a classifier to predict if a particular student is infected or not. From the HEP analysis perspective you are interested in the amount of infected students (say, if there are significantly larger amount of infected students than it is allowed, the school should be quarantined). So physicists use classifiers' output as a discrimination variable between the signal (infected person) and the background (healthy one) and select the data with the output greater than certain threshold. Then they estimate the expected amount of healthy students in the selected data and compare it with the actual amount of students within the selection (""observed"" amount). For instance, you expected 7-10 healthy persons and observed 20. In this case you claim that the data contains a number of infected people because observed number of ""healthy"" people is significantly larger than you expect and the school should be quarantined (or you can claim a discovery in physics term). To choose the best classifier we use weighted area under ROC curve metric. The second reason is that you have to check for the absence of the correlation between the mass and the classifier's predictions. In our example, feature F = ""distance of student's home from the school X"", is analogous to the event mass. If our classifier is correlated with F it might mark all persons from the school X as 'infected' and healthy for others (since in our training sample all infected people are coming from the school X and all healthy people outside of it). But we cannot claim quarantine based on this selection, since it is obviously biased. To avoid such an error we introduce the correlation test. We cannot add 'signal' labels to real data events, so it cannot be used for training of a classifier. Background events for the training set are taken outside of the signal mass region, because our signal decay has a specific mass range and events outside of this region for sure contain no signal. Signal events can be only simulated. A simulation is not perfect because we cannot simulate all possible processes and we use some approximations which lead to non-perfect signal data. Speaking in terms of infected/healthy students, the information about the infected students we take from the previous year records (analogous to simulated data) and the information about the healthy ones - outside of the school X (analogues to real events outside of the signal mass region). Here is a list to summarize types of data and its origin: signal: HEP: simulated, the decay mass region (MC) Flu: infected students records, last year, the school X background: HEP: real, outside of the decay mass region Flu: healthy students records outside of the school X, this year We train a classifier on the simulated signal data versus the background real data (it can also be simulated, but that's a different story). To claim a discovery we want to be sure that our selection preserves as many as possible signal events, thus for each False Positive Rate (FPR) our True Positive Rate (TPR) is the highest possible. The classifier can pick not only the difference between the signal and the background, but between the simulated and the real data as well (or not only between infected and healthy people but between this and the previous year data). If this happens TPR for the fixed FPR will be overestimated. As a result, we need to apply calibration procedure to estimate TPR of a classifier for the real signal data. One of the ways to calibrate TPR values (or just check if it is needed indeed) is to see the classifier's performance on the data that is similar to our decay, but is very well known. It is called 'control channel', which happens frequently and it is close by its physical properties to the signal decay. A control channel is an analogous to the data about students from another (much bigger) city. control signal: HEP: real+simulated of another decay Flu: infected students records from another city, this and the previous year control background: HEP: real events of another decay Flu: healthy students records from another city For the calibration procedure physicists assume that the TPR_{real data} / TPR_{MC} will be the same in the control and the signal channels. Thus, for a given FPR: TPR_{real data}(signal) = TPR_{real data}(control) / TPR_{MC}(control) * TPR_{MC}(signal) (1) — calibration equation. Since some features are not well-simulated, this ratio: TPR_{real data}(control) / TPR_{MC}(control) could be very small, as a result your true TPR for the real signal will be also very small. As a solution for the problem physicists do reweighting of data to make MC and real data consistent. If reweighting is applied only to the control channel, it will violate the equality (1), so the same reweighting should be applied to the signal channel to restore (1). We don't cover reweighting in details here, but essentially it is a procedure to assign certain weights to some events so weighted distributions from one dataset would be similar to the distributions from another one. In the physical analysis you should choose the FPR points which depend on the hypotheses testing statistics. Thus you should calibrate the TPR specific points depending on your statistics. In the competition we would like to find a classifier which is optimal for any hypotheses testing statistics, so we want to avoid calibration procedure. That is why, KS test is implemented to make sure that TPR_{real data}(control) / TPR_{MC}(control) ~ 1 (2) If this approximation is true it is fair to compare the different classifiers without any calibration. Classifiers' systematic error. Physicists result always includes the systematic and statistic errors. To be precise we should rewrite equation (1): TPR_{real data}(signal) = TPR_{real data}(control) / TPR_{MC}(control) * TPR_{MC}(signal) + systematic_error + statistic_error (3) In some cases, the systematic errors are negligible and we can compare models as is. But in the real world the control channel MC and the signal channel MC are not completely similar — it is an example of the data systematic error, to be more precise, this is a systematic error of the physical difference in the nature between the channels but it can be reduced (this could be checked, for example, by comparing predictions PDF for MC samples in the control and the signal channels). During your model training you can introduce other kinds of the systematic errors which might break (1). This case would be impossible to check using the regular competition platform. So for the competition you should produce models that don't break (1) by adding new systematic errors. Some examples: When you simply train a classifier and perform feature selection or parameters optimization you might introduce some systematic error, but in the most cases it is negligible, for example, if you treat your signal and control channels equally. When you train a classifier to distinguish the signal channel and the control channel, this model will dramatically increase a systematic error introducing huge difference between the signal channel and the control channel. To sum up: In the HEP data analysis the main ML task is not to make prediction for each individual event, but to estimate total amount of interesting enough events within the given region. In the HEP data analysis several restrictions on the classifier exist, which are rather complicated and require description of such aspects as mass correlation, MC/real agreement, control channel assumptions, calibration and all systematics estimations. The systematic error estimation cannot be calculated within the competition framework (and cannot be included as a part of the metric) since it is very dependent on the way you work with the data. So for the competition we simplified restrictions for the sake of understanding and performance. Your solutions should not break the assumption (1) regarding the control and the signal channels. Otherwise an estimation of the classifier performance would require reweighting (or another kind of magic) which is also very dependent on the data preprocessing. Tanya, Andrey, Marcin, Eugene",24,gold,2,Mon Aug 17 2015 17:41:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15974,/competitions/flavours-of-physics,None
/maxsop,H2O GBM ,What type of results are you getting with this?,0,None,1,Mon Aug 17 2015 18:33:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15975,None,None
/rhinodaveb,XGBoost vs GBM,I would love to better understand the differences between XGBoost and GBM (i.e. sklearn's GradientBoostingClassifier / Regressor)? If anyone has any insights they are willing to share it would be much appreciated!,0,None,1,Mon Aug 17 2015 20:19:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15978,/competitions/liberty-mutual-group-property-inspection-prediction,70th
/fandang,Help for newbies on this one?,"Would anyone want to lay out steps of what some strategies might be? To let some newbies in on the thought process? Example: Import data using R graph all linear relationships etc, etc prune the columns because… decide to use the 4 columns because….. decide on this particular funtion becuase… Don't give any of your secrets away :), just some stepwise stuff so the true newbies can try and get on board?",3,bronze,2,Mon Aug 17 2015 20:31:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15979,/competitions/springleaf-marketing-response,None
/kdatkaggle,What's your memory size and CPU? ,"Hi! I'm a beginner, as I start to run programs on relatively large data set, for example, this one, my computer is not responding. It stuck for almost any models from sklearn in python, on the training set. I just want to get a sense of what's the minimum requirement on computer hardware, right now I have a MacBook Pro of 4 GB memory and CPU of 2.4 GHz Intel Core i5. What do you have or suggest if it can run models smoothly?? Thank you!",0,None,1,Tue Aug 18 2015 00:17:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15982,/competitions/sf-crime,99th
/justfor,Bench Stacked Generalization,"Hi, This script tries to implement a technique called stacking/stacked generalization. Leaderboard: 0.361412 Improvements should be very easy. Have fun! Regards, Justfor",4,bronze,10,Tue Aug 18 2015 00:43:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15983,None,None
/kuberj,Need a partner to work with and get started,I am new to this Kaggle thing and would appreciate if anyone is willing to team up with me and work on this competition together. Thanks!,0,None,3,Tue Aug 18 2015 00:49:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15984,/competitions/springleaf-marketing-response,None
/benhamner,Medicare Vs Total Insured Ratio by State,It would be really interesting to see this normalized by state population (or by the number of people in this dataset from each state).,0,None,1,Tue Aug 18 2015 01:29:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15985,None,None
/kingde,Replicate Weights Calculations,"If you are trying to make sense of the ACS PUMS replicate weights, these two files may be of some use [Link]:https://usa.ipums.org/usa/resources/repwt/Use_of_the_Public_Use_Replicate_Weight_File_final_PR.doc [Link]:http://www2.census.gov/programs-surveys/acs/methodology/design_and_methodology/acs_design_methodology_ch12_2014.pdf",0,None,1,Tue Aug 18 2015 03:42:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15987,None,None
/priyankmathur,Looking for a teammate?,Anyone still looking to team up to attack this problem?,0,None,4,Tue Aug 18 2015 04:31:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15988,/competitions/coupon-purchase-prediction,732nd
/wangzong,How to implement the rule like this?,"Hi, all I notice in training data that a family ""Sage"" shared the same tickets, the total number of this family should be 10 ( SibSb =8, Parch=2) , 7 out of the 10 members are listed in train data, and unfortunately no one survived. So I would like to suppose the other 3 member didn't survived neither. Some of these 3 member might be in test data. But how can I implement as a rule to apply in test data? I'm using python, so it would be great if any guru can shed some light on this issue in python. Thanks in advance. Zong",0,None,1,Tue Aug 18 2015 08:28:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15990,/competitions/titanic,None
/sundeep15685,Target variable in train data set,Hi I'm unable to find target variable in train data set. Could anyone tell the column number of the variable Thanks Sundeep Reddy Allala,-4,None,5,Tue Aug 18 2015 08:41:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15992,/competitions/springleaf-marketing-response,None
/ashishrane,XGBoost Example (0.76178),,4,bronze,19,Tue Aug 18 2015 10:18:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15994,None,None
/kashyap123,Usage of spotfire,"Hi Guys, I am new to the world of Datascience. And I just wanted to ask how good is Spotfire when compared to excel? Can it handle that big amount of data?",0,None,3,Tue Aug 18 2015 12:07:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15996,/competitions/springleaf-marketing-response,206th
/evgenyeltyshev,XGBoost CV: Newbie questions,"Hello! I am completely new to XGboost lib. How do you perform a cross validation for it (on Python)? I find following ways: XGboost.cv manually split using KFold Making an wrapper-estimator and using cross_val_score 1) What is the best way in case of custom loss function (gini in our case)? 2) For first option I came across [Link]:https://github.com/dmlc/xgboost/blob/master/demo/guide-python/cross_validation.py. If I want to calculate Gini score, I should provide gradient and hessian for it? P.S. good XGBoost manual links will be appreciated",1,bronze,2,Tue Aug 18 2015 13:06:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15997,/competitions/liberty-mutual-group-property-inspection-prediction,647th
/cvetanka,team or single player,"I'm new in this platform and I don't know how to register myself. I'm a single player, but far as I can see only the registration for teams is available. Am I missing something?",1,None,2,Tue Aug 18 2015 14:15:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15998,/competitions/springleaf-marketing-response,2213th
/yejiming,Seems everyone is using xgboost?,"FTRL can also get a decent score. It's good for poor guys like me who only have 4GB RAM, lol…",3,bronze,9,Tue Aug 18 2015 15:00:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/15999,/competitions/springleaf-marketing-response,237th
/jiweiliu,FTRL starter code,"Can I run pypy here? The submission file is fixed. : ) Just a reminder, please always run with pypy when possible.",0,None,23,Tue Aug 18 2015 18:08:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16001,None,None
/woshialex,more team members?,Does anyone/team who currently rank top 10 like to join our team? We currently rank #4 and we believe that we have low risk of overfitting given that our cv score is very consistent with the leaderboard. our single best model's performance is about ~0.215. Thanks~,0,None,2,Tue Aug 18 2015 18:55:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16003,/competitions/machinery-tube-pricing,5th
/kashyap123,Need a teammate,Anyone intrested to teamup with me can contact me at karshyap@gmail.com . Currently I am working at sanDisk and has a fair amount of experience working with big data.,0,None,2,Tue Aug 18 2015 20:18:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16007,/competitions/springleaf-marketing-response,206th
/mmueller,Factor Stats w/ Interactions,"Generates factor and factor x factor statistics. (similar to rOcelot's ""factorToNumeric"" [Link]:https://www.kaggle.com/rocelot/liberty-mutual-group-property-inspection-prediction/factortonumeric/code)",1,bronze,1,Tue Aug 18 2015 22:46:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16010,None,None
/iglovikov,One more question about scoring.,"I just joined the competition. I looked through the the forum to find a solution, but I do still have a question. In the train set we have 12 people(4 men, 8 women) that do lifting 10 times each. during this process 7 events can happen: Handstart FirstDigitTouch BothStartLoadPhase LiftOff Replace BothReleased Something in else ""The six label columns are either zero or one, depending on whether the corresponding event has occurred within ±150ms (±75frames)."" we need to predict probability of one of the events in 1-6 happening and final score - mean of the ROC of the 1-6 labels. Looking at the train set I can see that all columns in some row set can be 0, or two cells in this row can have value 1. It is said that ""Since the columns span multiple subjects and series, you should submit calibrated probabilities that fall on the same scale."" And this last part I do not understand. What exactly should be normalized?",0,None,2,Tue Aug 18 2015 23:52:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16011,/competitions/grasp-and-lift-eeg-detection,86th
/benhamner,Welcome and Ideas,"Welcome to our latest Scripts competition! We're excited to see what you discover in this dataset that could provide fascinating insights into the world's climate between 1750 and 1850. To get you started, here are some questions worth investigating How did the climate change over this century? What characterized shipping patterns in this era? What interesting non-weather-related data is in this set? Hope you have fun with this one! Let us know if there's other public datasets you'd like to see on Kaggle Scripts.",1,bronze,4,Wed Aug 19 2015 00:01:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16013,None,None
/mrooijer,XGBoost Example (0.76969),"In [49] train <- train[sample(nrow(train), 40000),] In [57] val <- train[sample(nrow(train), 40000),] That really means they are equal, not really what you want. Do this: train <- train[sample(nrow(train), 80000),] h=sample(1:40000, 40000); val<-train[-h,]; train <-train[h,] copy",2,bronze,11,Wed Aug 19 2015 00:11:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16014,None,None
/benhamner,Kaggle Team Structures and Performance,"This is awesome! Thanks for publishing it. A couple other questions that would be interesting to look at Do these users do better on average when they compete as individuals or on teams? As these users participate more on Kaggle, do they team up more or compete individually more?",1,bronze,2,Wed Aug 19 2015 01:13:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16015,None,None
/chrisfs,addBandPass,"Hi, I don't understand lines 59-60. it seems like you are setting X to the output of a function and then immediately setting it to something else. I am also not clear on what X.T is. I don't see T as a column in the data files.",0,None,1,Wed Aug 19 2015 04:55:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16016,None,None
/eremiaal,Why XGB instead of AdaBoost?,A lot of users are using XGB. How does it compare to AdaBoost? Why would we choose XBG over AdaBoost?,0,None,16,Wed Aug 19 2015 04:59:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16017,/competitions/springleaf-marketing-response,None
/deepcnn,TO Kaggle Admins: handling probabilities greater than 1 and perhaps negative,"Hi Kaggle admins, I inadvertently submitted submission with probabilites greater than 1. I fixed the issue after the fact and it scored the same. It looks like the scoring function is scaling the probabilites before AUC computation. So, no harm here So, I can't help but to ask what happens if someone inadvertently submits negative probabilites? This kind of mistake happened in past competitions. Are probabilites checked to see if they are less than zero before scoring? [EDIT] I am sure I am not the only one that submitted p>1 as the neon code shared here produced those probabilites. [EDIT2] The theory of AUC computation doesn't care about absolute values but about the relative rank between positive and negative samples and adjusts the threshold accordingly. For evaluation of a test set it might not matter much. But, I am not sure about the specific implementation by kaggle and that is my question is to the admins. Moreover, if someone tries to ensemble different models, the scale of probability becomes an issue. In an actual online prediction you only have a probabilty for one test sample just like you don't have future data and it would be hard how to interprete that output 'probability' if it is not standard probability in [0,1]. So, it would be better to restrict the definition of probability to its stricter sense of ϵ [1,0] and total probability adding up to 1. Thanks!",0,None,2,Wed Aug 19 2015 07:22:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16018,/competitions/grasp-and-lift-eeg-detection,3rd
/anishtharagar,I am still not clear what are we supposed to find. Kindly Clear my confusion. ,"Hi Forum admin, From what i understand, The Signal Data in the Training Set only consists of 0 and 1 (the label ‘signal’ being ‘1’ for signal events, ‘0’ for background events) The Training set definition says signal - This is the target variable for you to predict in the test samples. Does the Signal of 1 specify release of 3 muons due to tua decay ? or the otherway round ? Since The below statement is what we are supposed to find. ""In this competition, you are given a list of collision events and their properties. You will then predict whether a τ → 3μ decay happened in this collision. This τ → 3μ is currently assumed by scientists not to happen, and the goal of this competition is to discover τ → 3μ happening more frequently than scientists currently can understand."" So i am confused probably i am pretty new to this so can somebody clear the confusion. as to what are we supposed to find. or are we only supposed to predict the signal and hand over the results to you guys ? Thanks Anish T.",0,None,1,Wed Aug 19 2015 10:23:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16021,/competitions/flavours-of-physics,None
/maabdullah47,Map Of San Francisco,"I'm new in R , I have the basic-Intermediate level , can any one tell me how to use USA (SF) map through coding?",1,bronze,2,Wed Aug 19 2015 10:26:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16022,/competitions/sf-crime,None
/operdeck,Goal of this competition?,"I still wonder what's the goal of this competition? Will the sponsors be happy with a winner who has fine-tuned xgboost and managed to run it on 64 cores for 2 weeks? Not having a data dictionary leaves only very limited opportunity to do data analysis and feature engineering. For a few symbolic variables we can infer something from the values: e.g. there is a field that contains US state names and another one with cities or counties. There are a few date fields but we have to guess their relation. If however the challenge is to create a framework that is able to make reasonable predictions from anonymous data without any manual data analysis, just a black-box evaluation based on scoring a test set won't cut it. So we're all just going to spend time tuning xgboost? Although I know it's not going to happen, I'd vote for getting at least a bit more info on the data. Or do you guys see other intellectual challenges here? Thoughts?",10,silver,16,Wed Aug 19 2015 13:59:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16024,/competitions/springleaf-marketing-response,85th
/shubhamtomar,Problem statement.,"Hi fellow Kagglers! I'm a bit confused about the problem statement and just wanted to be sure before proceeding further. So, we need to differentiate between the webpages that are actual stories and webpages that are just ads. E.g. webpage 213006_raw_html.txt contains source code for this page: [Link]:http://www.stumbleupon.com/su/AJfW9b/weightwatchers.tumblr.com/post/98341452736/fall-is-here-grab-your-hunter-green-coats-and/, which is a sponsored page. And, then there are pages like 1186164_raw_html.txt, that are actual stories. We need to build a classifier that can differentiate between sponsored and non-sponsored pages. We can extract features like: Presence of links redirecting to download something. Tags containing comments from readers etc. Am I right ? Am I missing something ? And, if I can ask what features did you use ? :) Any help would be appreciated!",4,bronze,6,Wed Aug 19 2015 14:31:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16025,/competitions/dato-native,None
/dmilnes,Test coupon purchases in the visit logs,"Hi, I've found about 513 USER_ID_hashes with purchases of test set coupons in the visit logs. I actually didn't check time stamps so the purchases may have occurred before the week in question. However, it does increase my score when I replace those entries versus my prior predictions….",3,bronze,1,Wed Aug 19 2015 18:25:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16027,/competitions/coupon-purchase-prediction,74th
/mylesoneill,Should I do a PhD?,Awesome script! Looking forward to seeing your next piece on the reasons behind unemployment in specific states!,2,bronze,36,Wed Aug 19 2015 20:21:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16029,None,None
/luvemil,Benchmark really slow. Is it normal?,"I'm trying to run process_html.py on the data, but at the current speed it would take ~8 hours. Now, I know that my computer is a bit old and that the parsing operation can be optimized. I am just wondering whether it's worth to try, given the circumstances. Could it be that with my hardware it is not possible to work with such a big dataset at all? How fast does it work on your pc? Other posts in the forum suggest that a decent speed would be 200k files processed in half an hour, whereas I'm stuck at 20k. If the specs are important, I have a 4GiB RAM, dual core @ 3 GHz.",0,None,2,Wed Aug 19 2015 21:16:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16030,/competitions/dato-native,None
/gululu,error when making a submission,"I tried to make a submission. It's a two column csv file with ID and target as column name. It's exactly the same as the submission sample data. But I got error messages such as ""Could not parse '#N/A' into expected type of Double (Line 36030, Column 7)"". First, my file only has two columns, not sure where does that column 7 come from. second, I checked row 36030 in R, which looks totally fine to me. 46040 0.252218028 Anyone knows what's going on?",0,None,3,Wed Aug 19 2015 23:28:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16032,/competitions/springleaf-marketing-response,1582nd
/rocelot,Feature Transformations and GBM,"Do non-monotonic transformations such as log, sqrt etc actually add more information to a GBM model? I have a hunch that it does not. My intuition is that transformations smush the feature space together and make for a more efficient gradient descent algorithm. If my hunch is correct, then the inverse of log (exp) should cause gradient descent to perform more poorly. Thoughts?",-1,None,3,Thu Aug 20 2015 03:36:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16034,/competitions/liberty-mutual-group-property-inspection-prediction,41st
/ginotesei,Why I'm observing a bias between cross-validation score and Kaggle Public LB score?,"I know this is an ever-green topic in Kaggle forums and for this reason I conducted some experiments in order to have a set of observations for deriving the following findings. Here below they are for discussion. I appreciate any observation in order to improve my understanding of this phenomenon. Resampling technique To reduce the influence of randomness introduced by data split, 4-fold cross-validation has been repeated 3 times, i.e. 3-times 4-fold cross validation. Data transformations, models and meta-models Measured cross-validation score and Kaggle Public LB score in a wide range of configurations: scaling numerical numerical predictors or without scaling; removing high-correlated predictors or without removing them; clustering (train/test) data (2/4/8/14 clusters configurations; 2 different predictors for clustering) or without clustering data; stacking, i.e. training (k+1)-level learners to combine predictions of k-level learners or meta-learners, or without stacking (in case of stacking, 2 and 3 architectural layers used); using a wide range of algorithms (knn, cubist, xgbTree, enet, pls, gbm). The idea is that if I am making some mistake in the process whose effect is creating a difference between cross-validation score and Kaggle Public LB score, then such difference should have a proper variance. In that case it would not be correct talking of bias. Observations [Link]:http://2.bp.blogspot.com/-ya2q_ZZWPkA/VdUmHlxtaEI/AAAAAAAAAU8/1jTU1iiZk4w/s1600/kbias.jpg t-test On the choice of the t-test ( [Link]:https://en.wikipedia.org/wiki/Student%27s_t-test) for this kind of problem, please see [Link]:http://web.cs.iastate.edu/~honavar/dietterich98approximate.pdf. Assuming the null hypothesis as the means of cross-validation score and Kaggle Public LB score are equal., it results that difference in means with 95 percent confidence lies in the interval [-0.05392342, -0.02951592]. So, I am observing a bias.",2,bronze,3,Thu Aug 20 2015 03:40:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16035,/competitions/machinery-tube-pricing,48th
/ajenningsfrankston,Knowing stuff,"TA-01164,S-0062,2013-08-19,5,0,Yes,5,42.9410815532792 TA-01164,S-0062,2013-08-19,5,0,Yes,10,36.4700121854187 TA-01164,S-0062,2013-08-19,5,0,Yes,15,34.3111343567601 So 5 costs 42 and 15 costs 34. Ok. This is getting interesting.",0,None,1,Thu Aug 20 2015 12:20:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16039,/competitions/machinery-tube-pricing,751st
/saurabhjaju,I get an error while using xgboost package in python please help,I get the following error: xgtest = xgboost.DMatrix(test) copy AttributeError: 'module' object has no attribute 'DMatrix' I know that some how xgboost is not in the path for python to read. and i have tried a few methods i found online like appending system path. but it isnt working. I would appreciate if someone could guide me step by step,0,None,9,Thu Aug 20 2015 16:22:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16041,/competitions/machinery-tube-pricing,None
/ozymandias90,Different results on kaggle scripts and local,"We have been looking on the forums, and it says that people get different results with Xgboost, with different seeds and different OS's using the same script. However, the differences are minute, ~0.002. However, when we ran ""Kumaresh's Xgboost222"" script using Kaggle scripts and submitted, we got a leaderboard score of 0.228573. However, when we ran the same code locally and submitted the results, we got a leaderboard score of 0.433505. Now, this isn't a minor difference of ~0.002…. If we look at the results, this is the first 10 lines of Kaggle Scripts results: 22.758747100830078 1 13.011503219604492 2 7.295970439910889 3 5.467338562011719 4 4.347970008850098 5 3.9900519847869873 6 3.8466174602508545 7 3.7398757934570312 8 21.783283233642578 9 12.198299407958984 10 And this is what our code results when run locally: cost id 14.13522816 1 8.236505508 2 4.822361469 3 3.714679718 4 2.983890295 5 2.790646791 6 2.708799124 7 2.649604797 8 13.50900078 9 7.738848209 10 These numbers seem way too different to be an OS or seed related issue. ORIGINAL QUESTION:: Two of us ran the script 'xgboost 222' by kumaresh locally as well as on kaggle scripts. However, we noticed that the local csv file was completely different from the file produced online. We also tried updating our local version of xgboost, but we still have this same issue. Can someone offer any insight into why this might be happening? Thanks!",4,bronze,7,Thu Aug 20 2015 16:45:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16042,/competitions/machinery-tube-pricing,115th
/nnayyar,Newbie Question: Why isn't submission being accepted?,"It says I am missing something like 25,512 values though I have 51,000 submissions? CSV file is attached. Thanks! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/89904/2851/submission.csv",0,None,2,Thu Aug 20 2015 17:19:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16043,/competitions/liberty-mutual-group-property-inspection-prediction,2173rd
/xugang137,"Evaluation score ""normalized Gini coefficient""","Based on the description on the ""Evaluation"" page: [Link]:https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction/details/evaluation isn't the ""normalized Gini coefficient"" simply the fraction of matched rank positions? Specifically, given the targeted list of ranked ids and the predicted list of ids (from the largest score to the smallest), the ""normalized Gini coefficient"" is computed as the number of matched ids at corresponding positions, divided by the total number of ids. Is my understanding correct? One more point to clarify: what about the ids with the same hazardous score? I suppose those ids would keep the original ordering in the sorted list, and be considered correct. Thanks!",0,None,4,Thu Aug 20 2015 19:12:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16044,/competitions/liberty-mutual-group-property-inspection-prediction,2084th
/woshialex,the true cost of the tubes (it is transformed in the data),"I found that the admin divided the true cost of tubes by a floating point number (it can be figured out from the data what this number is) for us to fit, and I believe I could not use this info to improve my model even thought I figured out what the divisor is.. Just curious, why does the organizer want to hide the true cost value of the tubes…? it also seems like to be the after tax cost…",3,bronze,27,Thu Aug 20 2015 21:02:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16048,/competitions/machinery-tube-pricing,5th
/asimkievich,good material on recommendation systems,"hi folks, as someone who has read about recommendation systems in theory but has never put this knowledge into practice, I am taking a look at the following book (mining massive datasets, chapter 9) as part of my homework for this competition. [Link]:http://www.mmds.org/#ver21 The material is available for free and I believe that it might help in this competition. Good luck to all! A",10,silver,1,Thu Aug 20 2015 23:29:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16049,/competitions/coupon-purchase-prediction,103rd
/acu192,What's with these dates?,"Anyone know how to interpret the date values? For example, here's one: 26JAN12:00:00:00 Is that midnight (00:00:00) of Jan 26th, 2012? Or is the year unknown, and it is noon (12:00:00) of Jan 26th? If so, what is the last "":00"" for? Would that be sub-seconds? I've never seen times formatted like that though…",0,None,1,Thu Aug 20 2015 23:36:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16050,/competitions/springleaf-marketing-response,1234th
/abhishek,The Superman of data scientists,[Link]:http://i0.wp.com/venturebeat.com/wp-content/uploads/2015/08/owen-zhang.jpg?fit=930%2C9999 [Link]:http://venturebeat.com/2015/08/19/this-guy-is-the-superman-of-data-scientists/ :),7,silver,4,Fri Aug 21 2015 11:16:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16059,None,None
/kdatkaggle,High logloss but low accuracy (score)? ,"I'm comparing different models, I found some models gave me high accuracy (or score, calculated by category prediction), but the log loss (which we need to submit, calculated by the probability of all categories) is low, and other models gave the inverse case. Does that make sense to you that two indicators contradict with each other?? I'm confused and not sure about the standard to evaluate the performance of models… Thanks",1,None,3,Sat Aug 22 2015 05:03:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16073,/competitions/sf-crime,99th
/kdatkaggle,predict_proba very slow in sklearn,"I found the ""predict_proba"" method (to get the probability for categories) very slow in sklearn. For example, one of the model takes only 4s to fit, but 800s to calculate the ""predict_proba"". It's typically ~200 times lower than ""fit"", is it true for you as well? I wonder what is the mechanism of the ""predict_proba"" (didn't find it in docs), and whether it is possible to improve it… Thank you!",0,None,2,Sat Aug 22 2015 17:37:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16078,/competitions/sf-crime,99th
/randombishop,Last (desperate) call for team mates,"I've sent ten team requests with no results, but here I go again :) We have done a huge feature engineering effort, but our best submission is mainly based on two algorithms, so if anyone in top 25 have more model diversity, we can probably learn from each other, and hopefully climb up this leaderboard ? Good luck to everyone !",2,bronze,4,Sun Aug 23 2015 11:20:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16086,/competitions/machinery-tube-pricing,7th
/mryossu,Why is a Euclidian metric better than a simple one for this ML problem?,"I'm trying to learn ML, and have been reading Machine Learning Projects for .NET Developers by Mathias Brandewinder (I'm a C# developer by day, so this appealed to me). He uses the digit data available here. As a first stab at a metric to measure the ""distance"" between two images, he just sums up the absolute difference between corresponding pixels. He then suggests improving this by using the Euclidian distance, ie the square root of the sum of squared differences, like you'd use to find the distance between two points in n-space. This gave an improvement in the accuracy of his code, but I don't understand why. He's not interested in the actual ""distance"" between pairs of images, just in comparing distances, so he can choose the smallest. Well, if you have an image to categorise, whose pixels are (x1,x2,…,xn), and you have two known images, with pixels (p1,p2,…,pn) and (q1,q2,…,qn), then if |x1-p1| < |x1-q1|, etc, then surely (x1-p1)^2 < (x2-q1)^2. If so, then whichever sum is smaller by the absolute method is also going to be smaller by the Euclidian method. Don't know if I explained that clearly, but my basic question is, why is summing the squares of the differences going to give a better comparison than summing the absolute differences? Seems to me like it should give the same comparison, albeit with different actual distances. Anyone able to explain?",0,None,2,Sun Aug 23 2015 21:57:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16091,None,None
/jakedog,Random Forrest NooB,"Hello everyone, I am extremely new to Machine Learning and R Programming and I'm hoping that someone is able to help me with a Random Forrest classifier that I have been working on. I have attached my code. The output file that is generated when the code finishes doesn't actually classify anything. i.e all the predictions are ""0""'s. Can someone please point out where I am going wrong? Kind Regards Jacques",0,None,1,Mon Aug 24 2015 13:16:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16100,/competitions/predict-west-nile-virus,None
/nassar1,Reading the text ,"Hi all Just a simple question File : Prefecture_Location : PREF_NAME 愛知県 File Coupon_aera_train PREF_NAME 埼玉県 And I'm unable to match such information.. Am I missing something? Same issue for Capsule name, Genre Name, (capsule translation & coupon_list_train) Best Naji",0,None,3,Mon Aug 24 2015 17:59:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16104,/competitions/coupon-purchase-prediction,None
/jiweiliu,This is the last minute type contest,"Although we are pretty much out of ideas, it seems there will be a very close game for the top 10 competitors. I wish I can watch each team coding on the air in the last hours, like I watch a starcraft 2 game. That will be fun to watch, isn't it ?",2,bronze,10,Mon Aug 24 2015 18:04:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16105,/competitions/icdm-2015-drawbridge-cross-device-connections,12th
/sefidrodi,Always class '0' predicted,"Hi Everyone, I tried Support Vector Machines and Naive Bayes for classification. But I get bad results. The prediction is constantly class '0'. This gives me a score of something around 0.76, which looks good at first sight, but is actually the fraction of class '0' in the data set. What are your experiences. Are you able to train any non-trivial classifier? Best regards, Siavash",0,None,5,Mon Aug 24 2015 21:03:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16107,/competitions/springleaf-marketing-response,373rd
/del=2b3d4da5d272d1be,1st Submission Deadline,"We just got our team together and were about to make our first submission, but didn't realize the deadline was in UTC. Is there any way can exception can be made to get us in?",0,None,10,Tue Aug 25 2015 03:38:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16111,/competitions/grasp-and-lift-eeg-detection,None
/nimashahbazi,Congrats,"Congratulation to idle_speculation, Stefan Stefanov and CookieMonster …",2,bronze,7,Tue Aug 25 2015 04:48:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16113,/competitions/icdm-2015-drawbridge-cross-device-connections,7th
/prodouble,Congratulations!,"Congratulations to the winners of the ICDM contest 2015! As a separate note, all participants whose final scores equal or above 0.75 are encouraged to submit papers. The due date for the initial submission is August 30th.",2,bronze,13,Tue Aug 25 2015 06:03:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16114,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/greenhamster,SMS verification is broken,"Hi, SMS verification doesn't work for +7 country code. 48 hours have passed since last (4-th) attempt. No response from support either.",0,None,1,Tue Aug 25 2015 12:28:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16118,None,None
/jiweiliu,Customize the personal page,"For example, can I choose which competition/badge I keep on the personal page? For example, ICDM is my 8th best and it's going to be replaced soon but I'd like to keep it there. I think most people most time would still put their top 8 competitions on the personal page. So that wouldn't be much confusing to visitors or for kaggle's sake. But at least I have some preferences among them. Also it means different thing to people how ""top 8"" is/should be defined. Thank you for reading the post.",0,None,4,Tue Aug 25 2015 15:55:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16119,None,None
/maddula,How to XGBoost in Python 3.4.3 | Anaconda 2.2.0 (64-bit),"Dear Kagglers, Can you help me on how can I do XGBoost on below machine? Python 3.4.3| Anaconda 2.2.0 (64-bit)| (default, Mar 6 2015, 12:06:10) [MSC v.1600 64 bit (AMD64)] I understood that XGBoost pkg is neither default or mentioned as supported pkg from Anaconda's,.. web-site. While browsing in our Kaggle forums I found about Guido's py_ml_utils-master\lib(pre compiled xgboost libs for x64), but it is not mentioned how to use it/ how it works or how do I import xgboost : ( I believe if I can get compiled-verison of xgboost, if possible with basic examples on how to start- it would benefit lots of other Python enthusiasts. If you have any other ways I can use/learn xgboost please share. Thank you in advance.",5,None,50,Tue Aug 25 2015 16:46:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16120,/competitions/liberty-mutual-group-property-inspection-prediction,1346th
/earlymantis,Resume and internship advice?,"Hi all, this is my first post here. Hope to start entering some competitions soon but was looking for some advice/direction. I'm currently working towards my MS in Data Analytics and I'm about halfway through the program (which I take online). While I do also work full-time it's not in an industry anywhere near related to working in Data Science so I'd like to obtain a remote internship of some type during a term where I cut my schedule down by a class or so, so that I have the time. My questions, for anyone who can help: 1) I'm really struggling to create a viable resume without the internship because my professional experience has zero carryover so any advice would be appreciated. 2) Has anyone here had any experience in the area of remote internships within the Data Science/Big Data realm?",1,None,5,Tue Aug 25 2015 17:04:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16121,None,None
/speculation,1st place solution summary,"First off, I'd like to thank the competition hosts at drawbridge for all their work putting this contest together. Next, I'll thank [Link]:http://www.datalabusa.com for providing the computing resources for our solution. Finally, thanks to all the competitors who kept things interesting. I'm looking forward to seeing your approaches. We generated a training set from the data as a collection triples of (device_id, cookie_id, ip) for each instance where a device and cookie appeared on the same ip. To this collection of triples, we join all the basic information about the device, cookie, and ip address. In addition, we generate a few hundred features based on the interaction between device, cookie, and ip. The most influential of these were ranks of each cookie partitioned by device and ordered by a basic attribute, say idxip_anonymous_c3 or ip_anonymous_c2 for instance. Cookie properties and any categorical features were one-hot encoded and also joined to the training set. We winnowed the list down substantially through cross-validation and were left with a few hundred in our final model. To this we added out-of-sample predictions of a few xgboost models built on cookie_all_basic to predict whether a cookie was matched to any device in the train set. To reduce the size of the training set we downsampled the cellular ip addresses quite heavily and also dropped any -1 drawbridge handle cookies. On this reduced dataset we built a learning-to-rank model which was a modified version of xgboost's ""rank:pairwise"" partitioning by device. For each device, we took the drawbridge handle of the highest scoring cookie and submitted all the cookie_ids for that drawbridge handle. We did attempt some ensembling for a final solution. It seems this was ill-fated as the private leaderboard score for strongest model was higher than the ensemble.",15,silver,4,Tue Aug 25 2015 17:46:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16122,/competitions/icdm-2015-drawbridge-cross-device-connections,1st
/antklen,How can we use knowledge of evaluation metric in model building?,"I tried to understand if it is possible to incorporate knowledge of specific evaluation metric (Gini coefficient) in learning procedure, but didn't succeed. Of course we use gini coefficient as metric in tuning parameters and grid search, but can we do something else?",0,None,1,Tue Aug 25 2015 19:29:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16123,/competitions/liberty-mutual-group-property-inspection-prediction,236th
/inversion,Predictions - Top Private Score,Anyone think the top private LB score will equal the current public LB score of ~0.396? How much higher / lower do you think it will be? I'm thinking there's a high probability it will drop some. Maybe as low as 0.380? Thoughts?,0,None,23,Tue Aug 25 2015 21:22:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16124,/competitions/liberty-mutual-group-property-inspection-prediction,54th
/benhamner,Does Kaggle Script not work anymore,This should work - what issues did you hit?,0,None,2,Tue Aug 25 2015 22:59:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16127,None,None
/dbarge,Is simulated signal data fully reconstructed or generator?,"A question in regards to discrimination between data & simulation vs. signal and background: Is the simulated signal data reconstructed using the same software as data or is it simulated at the generator level? In other words, are detector and electronics responses included in the simulation? Thanks",1,None,4,Wed Aug 26 2015 01:51:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16131,/competitions/flavours-of-physics,518th
/mpearmain,Keras Starter Code,"Hi All, After playing with Lasagne, i've also made starter code using Keras, which does use sigmoid and crossentropy loss function. [Link]:https://www.kaggle.com/mpearmain/springleaf-marketing-response/keras-starter-code As before to get it running i've stripped away a lot of values and am only looking at a tiny subset of data. Inspiration and credit for this script really comes from [Link]:https://www.kaggle.com/fchollet/predict-west-nile-virus/keras-deep-net-starter-code At least we have Keras starter code :P",0,None,8,Wed Aug 26 2015 10:22:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16134,/competitions/springleaf-marketing-response,12th
/naveenkaveti,"XGBOOST with watchlist and nthread (in R, OS: Windows)","Hi All, Does xgboost can run in parallel even when watchlist is provided? Case-1 CPU usage is around 2% when I provided watchlist and nthread (set to 8) together to xgboost (in R) Case-2 CPU usage is around 35% when I provided only nthread (set to 8) to xgboost (in R) Am I missing something here??? Thanks in Advance. Naveen…",1,bronze,2,Wed Aug 26 2015 15:57:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16135,/competitions/springleaf-marketing-response,550th
/abhijitk,Blah - XGB stupider idea,Sorry.,0,None,2,Wed Aug 26 2015 18:59:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16137,None,None
/mpekalski,"XGBOOST, python wrapper questions","I am using python wrapper on XGBOOST, and I was wondering about two things if there is a way of forcing it to use certain columns while also specifying colsample_bytree parameter? So, the algorithm would take some columns I want and then randomly make a draw from the remaining ones. I looked into package's C code and I noticed a parameter colsample_bylevel, which I did not see in the wrapper. Has anybody ever used that?",0,None,2,Wed Aug 26 2015 21:30:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16141,/competitions/springleaf-marketing-response,212th
/rhogarcia,Attribute Error,I'm getting the following error message: AttributeError: 'list' object has no attribute 'np' It looks like it doesn't like the import numpy as np. I'm running this on Spyder (Python 2.7) Thanks!,0,None,1,Wed Aug 26 2015 22:13:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16142,/competitions/titanic,None
/strawberryman,xgbooost 222,"Hi, has anybody tried to implement this model in R? I did, but the results I'm getting are much worse. I had the same issue with RF for regression (not for classification though)….",1,bronze,4,Wed Aug 26 2015 23:00:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16143,None,None
/benhamner,Kaggle Data Release,"We've had a lot of demand for being able to more directly access Kaggle data, and we're in the process of preparing a Kaggle data release on Kaggle Scripts. This will include public user information list of all public competitions that have been completed with associated metadata competition teams and team memberships submission scores for public competitions We're considering including scores for all submissions that were made during the competition (not just those that appeared on the leaderboard), as well as whether the submission was selected as a final entry. Before we do this data release, we wanted to get your input on it. Any thoughts?",6,silver,7,Thu Aug 27 2015 00:32:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16145,None,None
/wcukierski,Solution File,We've had a couple of researchers request the solution file for this competition. It's attached here. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/90528/2877/retinopathy_solution.csv,86,silver,26,Thu Aug 27 2015 16:10:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16149,/competitions/diabetic-retinopathy-detection,None
/deega3000,Fonts,I can read/ write Japanese but I am not getting the proper fonts. All I can see are junk characters. Would anybody please throw some light on this.,0,None,4,Thu Aug 27 2015 17:22:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16150,/competitions/coupon-purchase-prediction,594th
/kdatkaggle,Expanding categorical columns into matrix of dummies,"Hi! For categorical variables, there're two ways to convert them into numerical ones. For example, if I have (""PD"" is the col name): PD A B C A copy Then the two ways are: (1) convert it into: PD 0 1 2 0 copy (2) convert it into: PD_A PD_B PD_C 1 0 0 0 1 0 0 0 1 1 0 0 copy From my point of view, the second way creates a lot of redundant elements and has made one feature into three features. The first way is more natural and straightforward. But I saw some people encode it via the second way, for example, use ""get_dummies"". Could anyone explain what is the advantage of using the second way? Thank you!",1,None,2,Thu Aug 27 2015 18:13:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16151,/competitions/sf-crime,99th
/piero111,Could you help me guys with data converting,"hi guys, I'm new in data mining, I using python with scikit learn and I have classic classification problem with data like: id num1 num2 num3 cl1 cl2 cl3 1 0.2 nan 0.5 a1 a2 a3 2 0.1 0.5 nan nan a5 a6 …… and labels for this data like: id class1 class2 class3 1 1 0 1 2 0 0 1 …. so my problems is: i can remove ""nan"" with Imputer from sklearn.preprocessing like this: imp = Imputer(missing_values='NaN', strategy='mean', axis=0) imp.fit(self.trainData) but I have error with non digital items in my data… from another side i can use preprocessing.Binarizer for labeled items, but i have error with ""nan"" items, …. so how can i solve this problem? Each item from test set can belong to many classes how can i solve this problem? so i decided to solve problem for each class separatly, but can i solve this problem for all classes together thanks, for your time!!!",0,None,5,Thu Aug 27 2015 20:33:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16152,None,None
/jeffwinchell,External Dictionaries,"From the rules: ""External data, such as dictionaries, thesaurus, language corpuses, are allowed. However, they must not be directly related to this specific dataset. The source of your external data must be posted to the forum to ensure fairness for all the participants in the community."" I am not sure how to interpret the second sentence in all situations. Normal dictionaries include a somewhat limited set of proper nouns. Is a much more expansive set of proper nouns allowed to be used?",2,bronze,3,Thu Aug 27 2015 21:25:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16154,/competitions/dato-native,None
/carloshuertas,Poor Kagglers,[Link]:http://s17.postimg.org/ped23c3un/ok_Sad.jpg,4,bronze,13,Fri Aug 28 2015 00:41:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16157,None,None
/inversion,It's the consolation contest!,Good job NxGTR . . . you found a contest [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/16157/poor-kagglers/90574!,1,bronze,1,Fri Aug 28 2015 01:13:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16158,/competitions/noaa-right-whale-recognition,15th
/inversion,Sub-contest: Who's taken the best whale picture,My entries: [Link]:https://www.facebook.com/photo.php?fbid=62396982524&l=8dbeb03394 [Link]:https://www.facebook.com/photo.php?fbid=62397022524&l=e2286db3a1 [Link]:https://www.facebook.com/photo.php?fbid=62397027524&l=e77e03e6d9 [Link]:https://www.facebook.com/photo.php?fbid=62397032524&l=2f7318cded,3,bronze,6,Fri Aug 28 2015 01:19:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16159,/competitions/noaa-right-whale-recognition,15th
/inversion, Leaderboard Progression over Time,"EDIT: Oops, fixed the calculation (I had it based on lower-is-better). [Image]:http://i.imgur.com/WhoHvqT.gif",42,gold,18,Fri Aug 28 2015 02:58:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16162,/competitions/liberty-mutual-group-property-inspection-prediction,54th
/salvadordali,"Why are X, Y coordinates floats?","Looking at the vectors of results, I have noticed that the X, Y coordinates of the important points are floats 66.03356391 39.00227368 .... Why is this? If we have a discrete 96x96 image I was expecting that the point would be an integer in the range [0; 96].",2,None,2,Fri Aug 28 2015 04:50:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16163,/competitions/facial-keypoints-detection,None
/ryanlouie,Using AUC Metric in GraphLab Parameter Search,"Having some issues writing my own AUC evaluator for doing GraphLab parameter search. Here's my code: def auc_score(model, test): target = model.get('target') preds = model.predict(test, output_type='class') return roc_auc_score(test[target], preds) def evaluate_auc(model, train, test): return {'train_auc': auc_score(model, train), 'validation_auc': auc_score(model, test)} job = gl.random_search.create( folds , gl.svm_classifier.create , params , evaluator=evaluate_auc , return_model=False , max_models=10 ) copy roc_auc_score comes from sklearn.metrics The validation fails to run the trial script, and the error points to my evaluator. Is there something obvious that I am doing incorrectly?",0,None,4,Fri Aug 28 2015 05:58:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16164,/competitions/dato-native,None
/jfkingiii,Bad zipfile offsets,Is anyone else getting bad zipfile offsets? file #9566: bad zipfile offset (lseek): 12112568320 file #9567: bad zipfile offset (lseek): 12112986112 copy etc. My md5sum for imgs.zip is 645772cb6592bbf904d1a2ed054046f9,1,bronze,8,Fri Aug 28 2015 06:09:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16165,/competitions/noaa-right-whale-recognition,23rd
/ftlftw,RAM requirements for this kind of task?,"I haven't done image analysis before, and this seemed like it might be a cool competition to use to learn. Whales are cool! But my current rig has 12 GB of RAM - which seems like it might be a little low given the data size? Does it make sense to me for try this competition out, or am I just going to frustrate myself due to hardware limitations?",1,bronze,4,Fri Aug 28 2015 08:54:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16166,/competitions/noaa-right-whale-recognition,None
/xingchenzhuifeng,A little fun with xgb,"why your versions_21's log is ""train-rmse:nan val-rmse:nan"" ?",0,None,1,Fri Aug 28 2015 12:16:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16168,None,None
/eveliz,can't select my final submissions,"Hi, I try to select my two final submissions, but I can't click on the boxes at the right of my submissions.. Can you help me? Thank, Eveliz",0,None,4,Fri Aug 28 2015 12:46:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16170,/competitions/liberty-mutual-group-property-inspection-prediction,108th
/dslate,"What does ""Fork Script"" do?","This may sound like a silly question at this stage of the competition, but can anyone tell me what ""Fork Script"" does? I haven't run any of the posted scripts, but I'm curious about how to do it. I'm afraid to just press the ""Fork Script"" button for fear that it might use up one of my final submissions. Does ""Fork Script"" automatically run the script and submit its predictions, or does it just run it and present the option to submit? And if the latter is true, is it possible to just retrieve the predictions without submitting them? Thanks.",4,bronze,3,Fri Aug 28 2015 13:14:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16171,/competitions/liberty-mutual-group-property-inspection-prediction,52nd
/cbkhan,Right Whale Questions,"Welcome to the competition! My name is Christin Khan and I am a fishery biologist at NOAA working on right whale issues. If you have any general questions about right whales, I am happy to answer them here. Thank you for your participation, this project has real conservation value for the species!",23,gold,65,Fri Aug 28 2015 16:14:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16172,/competitions/noaa-right-whale-recognition,None
/anastasiavoulgaraki,Reminder: Option to purchase license ,"Dear All, Thank you all for your participation in this challenge. As the competition draws to a close, we just want to remind everyone that as a component of the [Link]:https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction/details/prizes for this competition, Liberty Mutual has the option to purchase the non-exclusive license from the winners for $25,000, if both parties agree. For this option to be exercised, the winning models should not be open sourced immediately following the close of the competition. In order to be eligible to receive the $25k, your code should not be made publicly available by posting it in the forums, on GitHub, or anywhere else. Sincerely, Anastasia Voulgaraki (on behalf of Liberty Mutual Insurance)",5,silver,6,Fri Aug 28 2015 17:49:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16174,/competitions/liberty-mutual-group-property-inspection-prediction,None
/nightcrawler,For Kaggle Masters,"Hi Guys, I have a great admiration for Kaggle Masters, especially TOP 10 players. I have spent much time on model ensemble and stacking, but my LB score still walks around 0.391200 (this can be achieved by public script). I use XGBoost, KNN, RF, GBF model, do a forward stepwise selection for ensemble, also I tried model stacking by using XGBoost and AdaBoost, but all this experiments give no improvement on LB score. So sad for that, could any kaggle masters share some insights? Of course, after competition. I did model ensemble and stacking followed by [Link]:http://mlwave.com/kaggle-ensembling-guide/",4,bronze,11,Fri Aug 28 2015 19:12:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16175,/competitions/liberty-mutual-group-property-inspection-prediction,213th
/wendykan,Please re-download competition files,"Hi all, There were some image labels lost in the processing pipeline code, and also [Link]:https://www.kaggle.com/c/noaa-right-whale-recognition/forums/t/16165/bad-zipfile-offsets/90607#post90607 that for some people (usually on Windows) the un-zipping of images files give errors. We have now fixed both, and we are uploading new files (train.csv, sample_submission.csv, imgs.zip). The upload should be done in the next hour. Please download the files again. Previously, the zipping was done with 7z. This time it's done in normal zip (I used Keka on a Mac). Some details about the data files for those that want to double check: There are 11469 images in the imgs folder, named w_0.jpg to w_11468.jpg. There are 4544 images for training There are 6925 images for test 4544+6925=11469 Sorry for the inconvenience.",3,bronze,9,Fri Aug 28 2015 20:59:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16176,/competitions/noaa-right-whale-recognition,None
/madara,no submission...?,"HI, why i can't make a submission? I was registered in the competition for many days and i'm not a ""new entrant""..(this is message that appears when I try to make a submission,…my first..of course, but i'm not an entrant…) please inform me, thanks",0,None,2,Fri Aug 28 2015 21:41:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16177,/competitions/grasp-and-lift-eeg-detection,None
/sinhayash,Malwares in dataset?,While extracting 0.zip Windows Defender is reporting this: Exploit: HTML/IframeRef.gen Alert Level: Severe File: Kaggle\Truly Naitive\0\172242_raw_html.txt->(IframeRefI) Link: [Link]:http://www.microsoft.com/security/portal/threat/encyclopedia/entry.aspx?name=Exploit%3aHTML%2fIframeRef.gen&threatid=2147536539&enterprise=0,0,None,3,Fri Aug 28 2015 21:49:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16178,/competitions/dato-native,261st
/albarazanchi,Algorithm Type,what kind algorithms is suitable for this challenge ? is it possible to consider it image classification problem ?,0,None,1,Fri Aug 28 2015 23:05:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16179,/competitions/noaa-right-whale-recognition,None
/asimkievich,to all of ya running out of memory out there,"I found this very interesting post on an Amazon Web Services AMI with an installed R Studio. Setting it up is pretty straightforward, the price tag I cannot tell - I am using a pretty big piece of hardware myself. [Link]:http://www.louisaslett.com/RStudio_AMI/ I actually prefer python over R, but found that for matrix multiplication R is more efficient. If I am wrong and anyone can enlighten me on this, you are most welcome. Best, Alejandro",2,bronze,2,Sat Aug 29 2015 00:23:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16186,/competitions/coupon-purchase-prediction,103rd
/jfkingiii,Right whale identification game,[Link]:http://www.neaq.org/education_and_activities/games_and_activities/online_games/right_whale_identification_games.php Humans identify right whales by the white/grey callosities on their heads. I think deep learning can work for this but it looks non-trivial to crop out the relevant area of the photo.,1,bronze,8,Sat Aug 29 2015 00:31:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16187,/competitions/noaa-right-whale-recognition,23rd
/xugang137,The Benchmark of linear models,"Hi all, Just for the curiosity, what was the best score did any of you achieve for linear models? The best score I achieved for an SVD-based linear model was around 0.20. Best, XD",3,bronze,4,Sat Aug 29 2015 01:38:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16188,/competitions/liberty-mutual-group-property-inspection-prediction,2084th
/kechenqin,How to distinguish categorical features from others?,"Hello everyone, I am a beginner. I compared the range of each feature in training set and in test set. Many of them are same. I also calculated the union and intersection of features. It seems that there are many categorical features. Are there any other ways to distinguish categorical feature from numeric feature? Thanks!",1,bronze,8,Sat Aug 29 2015 01:46:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16189,/competitions/springleaf-marketing-response,23rd
/chaosdecoded,Everybody hold your breath... and the winner is .... ,Heh ;) Don't hold your breath for ten minutes ;) Congratulations to all players out there.,1,bronze,29,Sat Aug 29 2015 01:49:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16191,/competitions/liberty-mutual-group-property-inspection-prediction,1245th
/arjunsanjeev7,Not able to form team,"I am new to kaggle. I was trying to add my friend to be part of my team for this competition but I can't find the option to send team invites anywhere, even in the ""My team"" page. Can't I form team in past competitions? Please help.",0,None,1,Sat Aug 29 2015 02:13:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16192,/competitions/forest-cover-type-prediction,None
/inversion,Anyone else convert this to a binary problem?,"What worked pretty well for me . . . I turned it into a binary problem: Predict whether Hazard > 1 Predict whether Hazard > 2 etc. Total score is area under the curve. Below, the y-axis is probability, and the x-axis is ""that Hazard is greater than x"" [Image]:http://i.imgur.com/pmfPcgV.png",9,gold,11,Sat Aug 29 2015 02:18:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16193,/competitions/liberty-mutual-group-property-inspection-prediction,54th
/ericchio,Congratulations winners! Methodologies!,Congratulations to Qingchen to get the 1st and many other top winners! Could you please share your winning methodologies (and also code!) for everyone to learn from? Thank you - on behalf of many eager learners on Kaggle!,1,bronze,4,Sat Aug 29 2015 02:41:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16194,/competitions/liberty-mutual-group-property-inspection-prediction,836th
/dmitrylarko,No points for this competition?,"Hello, Is there any reason why this Master competition doesn't award ranking points? All previous Master's competitions awarded you with ranking points, so why change this good tradition? :)",0,None,12,Sat Aug 29 2015 06:27:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16195,/competitions/deloitte-western-australia-rental-prices,None
/smcinerney,RandomForest Forking Around,"You can replace the 48-line wall-of-code to drop multiple variables on both sets with one call using a list: drop_cols = ['T1_V4', 'T1_V5', ..., 'T1_V10'] train.drop(drop_cols, axis=1, inplace=True) test.drop(drop_cols, axis=1, inplace=True) copy",0,None,1,Sat Aug 29 2015 07:02:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16196,None,None
/rlesser,Any way to work on script without the whole world seeing it?,"I'm currently working on a script for the reddit dataset, and because the specific theme I'm working with has not been mentioned by anyone else on the competition, I'd like to keep it private until I have it working. However, in order to run or save my script, it seems like I have to publish it. And if I use the hide ability, it doesn't let me edit it anymore. I'd rather not have to download the whole dataset and work on it on my own computer. I've searched the forums for information on what I thought would be a bigger topic, but I've found nothing, which leads me to believe there is either an easy solution that I am missing, or I am taking crazy pills.",0,None,1,Sat Aug 29 2015 07:07:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16197,None,None
/liliya,theoretical question,"I decided not to extend [Link]:https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction/forums/t/16124/predictions-top-private-score but to start a new topic with the following questions: how you will explain that the private score (0.397) is better compared to the public score (0.3958) with 232 submissions? Did you predict such possibility yesterday? If yes, why? Is it a new form of overfitting, unknown in scientific literature? How do you think it maybe used/explained in scientific publication? PS: I know that Kaggle admins are very busy at the moment verifying the results. Maybe they will consider, also, above questions..",2,bronze,10,Sat Aug 29 2015 09:43:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16198,/competitions/liberty-mutual-group-property-inspection-prediction,None
/guest96,Use of locations,Can anyone let me know the use of file coupon_area.csv?,0,None,1,Sat Aug 29 2015 14:25:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16200,/competitions/coupon-purchase-prediction,None
/ab19026,why so many identical  LB scores?,The score 0.228551 appears more than 70 times in the list.Any regular patterns?,3,bronze,1,Sat Aug 29 2015 17:51:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16202,/competitions/machinery-tube-pricing,1155th
/xiaozhouwang,Are you overfitting?,Please do. Canadian economy is shitty and I really need some U.S. dollars!,7,silver,28,Sat Aug 29 2015 18:00:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16203,/competitions/machinery-tube-pricing,6th
/mgboost,Private - Download Raw Data - returns Public Data,I tried downloading the raw data for both public and private leaderboards and the two resulting files are identical and reflect only the public standings. Is it too early to get the private download? Statistical comparison of both sets of standings may provide great insights into score stability due to sampling differences.,0,None,3,Sat Aug 29 2015 19:25:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16205,/competitions/liberty-mutual-group-property-inspection-prediction,817th
/alekseit,The question for python experts,"Hi guys! I am stuck with a problem. I used the code for stacked generalization provided by [Link]:https://www.kaggle.com/justfor and tried to separate prediction for test set. However, when I did it, the script has started to show completely different results than the original one. In particular, the stacked features for the test set differ, therefore the prediction result is different as well. The code is attached. I have commented the lines 90, 101 and 107 and put their functionality to the piece of code between lines 100 and 115. Who can tell me, what am I doing wrong? It looks that I have not done any serious modifications, however, the results differ! Thank you in advance! PS: I used only the first 1000 of objects to speed the execution for easier development. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/90862/2879/kaggle_version.py",0,None,2,Sat Aug 29 2015 19:33:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16206,/competitions/liberty-mutual-group-property-inspection-prediction,1317th
/triskelion,Mapping digits with a t-SNE lens,Note how clusters form for digits with a different slant or style.,5,bronze,4,Sat Aug 29 2015 19:50:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16207,None,None
/tagarin,cut most important vars?,Are you also getting most important variable on target variable to be 274 237 342 73 493 ? See attachement. GBM. Read somewhere yesterday a recommendation to cut most important variable so all other's variables contribution would be no less than 70%? Would it create a better (less overfit) ensemble of trees? Is this a common practice? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/90869/2880/springleaf-var_importance.png,0,None,1,Sat Aug 29 2015 20:18:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16208,/competitions/springleaf-marketing-response,1739th
/shawn0122,Deep Learning h20,"I wanted to try h20 for this competition but some of the models are giving me very large numbers which R changes to Inf. It could be an issue with my tuning parameters as I'm just using some examples I found online and not exactly sure what each one is doing. My training set has about 400 columns. Has anyone tried this for the competition? Here is one set of model parameters I tried. I'm doing the log transform on the cost data. train_hex_split <- h2o.splitFrame(train_hex, ratios = 0.75) model <- h2o.deeplearning(x = 2:ncol(train_hex), y = 1, training_frame = train_hex_split[[1]], validation_frame = train_hex_split[[2]], activation = ""Rectifier"", hidden=c(300, 300, 300, 300, 300) , nfolds = 5, epochs = 20)",0,None,1,Sun Aug 30 2015 00:19:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16210,/competitions/machinery-tube-pricing,598th
/larryhillyer,Cannot Allocate Vector of Size Error,"I am going through the R tutorial, and when I get to the statement: submission <- merge(example.submission, submission, all.x=T, sort=F) copy I get the error: Error: cannot allocate vector of size 5.4 Gb copy I have 16GB of ram so I am a little surprised. I am new to R so I am not quite sure what to do. Any help would be appreciated. Thanks in advance, Larry",0,None,3,Sun Aug 30 2015 00:25:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16211,/competitions/facial-keypoints-detection,None
/xiaozhouwang,Are public/private LB split based on tube ids?,I would like to ask kaggle admins this since we need to choose the final 2 submissions. It matters if the public and private data are split totally randomly or they are split in a way that they have no common tube assembly ids? Thank you!,2,bronze,20,Sun Aug 30 2015 01:21:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16212,/competitions/machinery-tube-pricing,6th
/rlesser,How many comments are in the database?,"I'd like to specify 1% of the data, but I'm not sure what the total comment count is.",0,None,1,Sun Aug 30 2015 01:48:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16213,None,None
/kreyes,Units?,Is there a description of the physical units for the features provided in the data?,1,bronze,3,Sun Aug 30 2015 03:49:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16214,/competitions/flavours-of-physics,None
/firefly2442,AUC Question Regarding Transformation,"I have a question about the [Link]:https://www.kaggle.com/wiki/AUC calculation used in scoring. Let's say I make predictions for the sample data and the resulting average of those predictions is 0.15. Now the average of the training data is around .09. Is it true that based on how the AUC is calculated and used, it would be worthless to do a transformation to adjust my predictions to the average of the training data to try to better match it? Is that one of benefits of this method (like as discussed in the [Link]:https://www.youtube.com/watch?v=OAl6eAyP-yo&feature=youtu.be from the wiki)? Thanks in advance.",0,None,2,Sun Aug 30 2015 06:14:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16215,/competitions/dato-native,115th
/xugang137,Just FYI - there are two missing VAR ids,"VAR_0218 is missing: …, ""VAR_0217"",""VAR_0219"", … VAR_0240 is missing: …, ""VAR_0239"",""VAR_0241"", … There is nothing serious to be concerned about anyway, as I can tell. Best, G.X.",0,None,1,Sun Aug 30 2015 08:16:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16217,/competitions/springleaf-marketing-response,1398th
/georgesolymosi,To admin: Simulation process,"Could you please discribe the simulation process i.e. how did you try to achieve the best approximation to the real phenomenon represented by simulated signal? Furthermore please, be so kind and give us an answer to my previous topic regarding the LB entries.",0,None,2,Sun Aug 30 2015 09:14:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16218,/competitions/flavours-of-physics,12th
/drrd00,Matlab use,"Hi, Is the use of Matlab allowed only as a complimentary tool for preprocessing or can we build the whole solution with Matlab here?",0,None,1,Sun Aug 30 2015 11:08:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16219,/competitions/noaa-right-whale-recognition,None
/stasmakhrov,How to interpret difference in dimensions in training.csv and test.csv,"The size of vectors in file training.csv is greater than test.csv. Mass, production, min_ANNmuon are absent in test.csv. What is the reason of dimension's reduction? Neural networks are usually trained and tested with the input vectors of the same dimension. Are absent values of vectors turn to 0 without reducing the dimension of vectors in test.csv?",0,None,1,Sun Aug 30 2015 13:39:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16220,/competitions/flavours-of-physics,None
/iglovikov,Deeplearning competitions.,"Hello, I would like to get more practice with deeplearning. Kaggle is great learning environment, partially because it provides a lot of interesting data. There were some competitions in which people that were using deeplearning performed/are performing really well: So far I know about: [Link]:https://www.kaggle.com/c/digit-recognizer [Link]:https://www.kaggle.com/c/facial-keypoints-detection [Link]:https://www.kaggle.com/c/grasp-and-lift-eeg-detection [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection [Link]:https://www.kaggle.com/c/datasciencebowl [Link]:https://www.kaggle.com/c/noaa-right-whale-recognition Could you please add other competitions to this list? Vladimir",25,None,9,Sun Aug 30 2015 22:31:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16221,None,None
/drmjoseph,Public vs Private Leaderboard for Single Script Entries,"[Link]:http://C:%5CUsers%5Clenovo%5CDesktop%5Ccapture.jpg So, if a competitor waltzes into this competition and simply submits a single script (which I think has a random seed selection for some parameters) then it is conceivable that they could wind up with a fantastic 12% ranking out of the total set of team's submissions. From one perspective, you could argue that's not a bad outcome for such little effort - for just a few clicks of the mouse. By contrast, many other competitors put in quite an effort (>100 models submitted) and were nowhere near these high ranking submissions. So the single script performers (who effectively submit someone else's work) can achieve more Kaggle competition points, gain a higher outcome rank in any given competition, appear to have good data mining skills (to the casual employer wanting to hire some skilled data miners but lacks an understanding of script submissions) and most importantly save a great deal lot of time and effort! Somethings not right here… [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/90963/2881/Capture.JPG",1,bronze,10,Sun Aug 30 2015 23:38:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16222,/competitions/liberty-mutual-group-property-inspection-prediction,777th
/maxpeets78, is VAR_0006 finite?,Here is the describe output for for VAR_0006. train['VAR_0006'].describe() count 145175.000000 mean 0.693907 std 1.604578 min 0.000000 25% 0.000000 50% 0.000000 75% 1.000000 max 68.000000 dtype: float64 But why infinite() returns False??? np.isfinite(train['VAR_0006']).all(),1,bronze,1,Mon Aug 31 2015 00:39:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16223,/competitions/springleaf-marketing-response,None
/triskelion,"Isomap all the digits ""2""","[Image]:http://i.imgur.com/ItWhCHA.png [Link]:http://wearables.cc.gatech.edu/paper_of_week/isomap.pdf ""A Global Geometric Framework for Nonlinear Dimensionality"" [Link]:http://www.ams.org/images/carlsson-notes.pdf ""Topology and Data""",2,bronze,1,Mon Aug 31 2015 01:37:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16224,None,None
/alexandrebarachant,Good luck to Everyone !,"As we entering the final day of this challenge, I would like to wish good luck to everyone. This competition was awesome and very challenging. We still have 23h to go, we have time for a last code checkup to be sure we don't use future data, that our solutions are reproducible and more importantly, that we didn't overfit. Seriously, EEG challenges are famous for their LB shakeUp. I'm not sure it will be the case for this one, but considering the small difference of score between peoples in the top10, I expect to have some surprises. So the 5000$ question is how to choose your two final submissions, and how much do you trust your CV !",9,silver,15,Mon Aug 31 2015 02:42:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16225,/competitions/grasp-and-lift-eeg-detection,1st
/liuchengwang,A question to the competition host,"I know that the current leader board is calculated on approximately 30% of the test data. So what about the tests? My result has to pass the agreement and correlation test when I submit it to Kaggle every time. Do the two tests base on 30% or 100% of the test data? If only 30% of the data is used, I am not sure whether the left 70% of the test data can pass the tests. Thank you for your time.",0,None,3,Mon Aug 31 2015 08:38:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16228,/competitions/flavours-of-physics,50th
/nightcrawler,Nobody share their great solutions? TOP 10 master,"FYI, hope some masters (after 4th) can share their solutions",2,bronze,2,Mon Aug 31 2015 09:11:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16229,/competitions/liberty-mutual-group-property-inspection-prediction,213th
/tifaccio,a simple pricing model and a simple algorithm,"[Image]:http://i.imgur.com/GTSHL7H.png estimate the real quantity and real price by finding a function C(q)=q*A+B which is below all the given data points. Some suppliers are very creative to hide this, some have even fun to drive you crazy by giving wrong numbers and some suppliers won't even tell you the right quantity several tubes are in the same group (their costs are calculated with the same set of parameters a and b) if the absolute values of the slack variables are lower than half the typical currency rounding error: abs(s)<=0.005 if prices are given in dollar and cents. you need the power of linear algebra and some additional inequations to estimate s, as there are always more variables than equations. now there are hundred of groups of data; each set contains a lot of different tube-IDs, dates, supplier, quantities and tube properties. Use the cluster analysis algorithm of your choice to group the lines from the train set to one of the groups of the test set (this is, where the magic happens) for each group: use the power of linear algebra to calculate the parameters which are needed for a and b (most of them are not needed ;-) ) some features are not given in the train_set. But you are able to estimate a and b for these features: Using the group of the components and plotting a and b as a function of the weight and you will see a nice and easy function immediately. **Here i'm failing right now ** calculate C and c, reverse the ""data hiding function"" according to step 1 Ready to export [Link]:http://pastebin.com/Ce9aR7Tr",1,bronze,1,Mon Aug 31 2015 10:42:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16230,/competitions/machinery-tube-pricing,1263rd
/timkreienkamp,xgoost parallelism,"Hi Guys, since everybody seems to use xgboost again, I thought I would just post my XGB related question here. I am running into the following issue (on mac). I installed gcc --without-multilib to enable openmp support. Then I ran bash build.sh and got the message that xgboost was successfully installed in multi threading mode. Next, I installed the python package. Everything worked fine - only it does not run in Parallel. CPU usage is at 95-98% when running (should be around 400 when running on 4 cores, right) and whats more important, when running the higgs boson speedtest, runtimes are the same for 1,2 and 4 cores (about 12 seconds). Am I missing something? Is there some crucial small step I omitted to turn on parallel boosting? Thanks a lot! Tim",2,None,7,Mon Aug 31 2015 11:12:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16231,/competitions/springleaf-marketing-response,556th
/mikeskim,kagglers on livecoding dot tv?,"I'm thinking about starting a live stream of old Kaggle problems on livecoding dot tv or twitch. Is there any interest in watching this kind of stuff? I don't want to live stream any current Kaggle problems, but I could very easily tackle old Kaggle problems every night on a regular basis. But I also might switch to current Kaggle problems if I get bored. Is this against the rules? Also there's a huge opportunity cost .. and I'm quite aware I might not want to share my solutions in an active contest. It would also be interesting to speedrun old Kaggle problems. e.g. 1 hour limit, a few Kagglers coding live on an old problem they've never tried before, see who gets the highest private score.",16,gold,13,Mon Aug 31 2015 11:25:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16232,None,None
/redsapphire,Commercially Licensed products (not Open-Source)?,"The rules state that you are prohibited from developing a solution using open-source code other than other than an Open Source Initiative-approved license. However, it doesn't directly address commercially purchased licensed. Specifically, would it be acceptable to develop a solution using any or all of the following purchased commercial licenses: Graphics programs such as Adobe Creative Suite or CorelDRAW Suite, office suites such as WordPerfect or Microsoft Office Professional, and/or programming languages such as Visual C++ or C# (or competing versions of C++ or C#)? Thank you.",0,None,1,Mon Aug 31 2015 14:39:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16233,/competitions/dato-native,None
/redsapphire,Commercially Licensed products (not Open-Source)?,"The rules state that you are prohibited from developing a solution using open-source code other than other than an Open Source Initiative-approved license. However, it doesn't directly address commercially purchased licensed. Specifically, would it be acceptable to develop a solution using any or all of the following purchased commercial licenses: Graphics programs such as Adobe Creative Suite or CorelDRAW Suite, office suites such as WordPerfect or Microsoft Office Professional, and/or programming languages such as Visual C++ or C# (or competing versions of C++ or C#)? Thank you.",0,None,2,Mon Aug 31 2015 14:40:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16234,/competitions/noaa-right-whale-recognition,171st
/redsapphire,Commercially Licensed products (not Open-Source)?,"The rules state that you are prohibited from developing a solution using open-source code other than other than an Open Source Initiative-approved license. However, it doesn't directly address commercially purchased licensed. Specifically, would it be acceptable to develop a solution using any or all of the following purchased commercial licenses: Graphics programs such as Adobe Creative Suite or CorelDRAW Suite, office suites such as WordPerfect or Microsoft Office Professional, and/or programming languages such as Visual C++ or C# (or competing versions of C++ or C#)? Thank you.",0,None,2,Mon Aug 31 2015 14:42:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16236,/competitions/springleaf-marketing-response,2147th
/nimashahbazi,Digging into Springleaf data,I have all NA's for variable 0214 and 0205!,0,None,30,Mon Aug 31 2015 16:36:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16237,None,None
/mjgarg,to admins: The data after the tournament,"Hi, as I intend to write my bachelor thesis in computer science (focus: machine learning) about this tournament, I wonder if the data and some tools regarding the evaluation-process will be released after the end of the challenge. (like after the [Link]:https://www.kaggle.com/c/higgs-boson/forums/t/13143/dataset-permanently-released-at-cern) If it will be released, is it possible to tell the time it takes to after the challenge? It would be very helpful to have the solution to the testdata and being able to reproduce the Leaderboard-Scores. Michael",2,bronze,4,Mon Aug 31 2015 17:02:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16238,/competitions/flavours-of-physics,None
/inversion,Leaderboard Progression gif,"Here's this contest's Leaderboard Progression animation. You can refer to [Link]:https://www.kaggle.com/inversion/liberty-mutual-group-property-inspection-prediction/leaderboard-progression for the code, although, I did this one locally, since the LB scores aren't by default accessible in the script environment. [Image]:http://i.imgur.com/tkIoPuk.gif",21,gold,1,Mon Aug 31 2015 19:08:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16240,/competitions/machinery-tube-pricing,358th
/bravespacemonkey,Is there no option to run a script on kaggle?,I can't find an option for it in this competition.,0,None,1,Mon Aug 31 2015 20:13:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16242,/competitions/noaa-right-whale-recognition,None
/whitetigersfu,Evolutionary methods for machine learning,"Does anyone have any experience with evolutionary methods (e.g. Genetic Programming, Evolutionary Strategies) for solving these types of problems? How do they compare to NN or Gradient based methods? The reason I'm asking is that it strikes me that most methods used here are gradient based, so they usually converge to a local optimum, but evolutionary methods are designed to escape local optima, so in theory they should outperform gradient descent. However, when I tried evolving NN weights for a previous competition, it failed miserably compared to gradient descent",0,None,3,Mon Aug 31 2015 21:47:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16244,/competitions/springleaf-marketing-response,None
/domcastro,Dutch Translation,"A lot of the Memo fields are in Dutch (assumption) - are there any automatic translation tools available through scripts? The Biology field is quite interesting - my favourite being ""saw 2 penguins!!!!!!!!"" They liked their exclamation marks too back then!",1,bronze,4,Mon Aug 31 2015 22:50:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16246,None,None
/aaronbarzilai,Any one else having trouble submitting?,"I have my final 2 submissions, but they seem to get hung up in the uploading process. Anyone else running into this issue? Thanks, Aaron",0,None,2,Mon Aug 31 2015 23:41:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16247,/competitions/machinery-tube-pricing,429th
/jokader,"what does (0,1,2) mean in the columns of usable_Mon, usbale_tues..... I thought it should be a binary value either 0 or 1? could someone explain what 2 could mean?",,1,bronze,1,Tue Sep 01 2015 01:16:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16249,/competitions/coupon-purchase-prediction,None
/triskelion,Wars and fights,"Some translations of interesting tidbits: We demand restitution for our canon shots, but he claims to have not a dime. For payment, we were allowed to pick a golden watch. Many apologies from his side and that it was only the second time he went around these places, and that they had frightened him for this. How could he know that this land had snauwen (marine reconnaissance ships) and he did not think we were a war vessel. He did not intent to show any disrespect for the flag of our state. All on the ""De Hoop"" are very remorseful, also a passenger sir Zegers. In the end the shipper did not have to pay for the canon balls. We see an unidentified ship. The commander raises the English flag, the unidentified ship also raises an English flag. Commander then raises the flag of the Batavian Republic. Braave hunts for this enemy ship for interrogation by the commander. On may the 16th the captain got into a fight with an English snauw and an English bark. The cause of this was that de Zeeuw had bought two slaves, despite earlier agreements that he would refrain from that and that the English would stop buying ivory.",5,bronze,3,Tue Sep 01 2015 01:37:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16250,None,None
/asaini,Create data set with fewer number of files / zip file?,"Can we please have smaller sized zip files (files with fewer images zipped) available as an alternative download ? Alternatively, an FTP folder with all images would be nice.",1,bronze,4,Tue Sep 01 2015 03:20:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16251,/competitions/noaa-right-whale-recognition,None
/srkudai,Is it required to translate japanese to english ?,"Hi Friends, For regression is it required to translate japanese to english here for this problem ? would it not do to simply use encoder and transform the strings to numbers and proceed with a PCA ? Was curious since i saw translation scripts in the scripts category. Thanks in advance for your answers :)",0,None,1,Tue Sep 01 2015 03:39:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16252,/competitions/coupon-purchase-prediction,802nd
/gunner4life,Fast loading of data,,0,None,6,Tue Sep 01 2015 04:46:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16253,/competitions/springleaf-marketing-response,393rd
/abhijit78,My Solution,"Hi, This is the competition that i participated with lot of enthusiasm and followed quite closely. With my final selected submissions, i am sitting at 81'th position on a private leaderboard. If i had selected another model, my score could be 0.393273 (with a possible rank of 55). I tried few following things: I mainly used XGBoost, K-nearest neighbor and Random forests. Trained these models with different parameters, i.e. mainly XGBoost with Linear, and POisson objective. Also, used RMSE criteria along with GINI metric. For K-Nearest Neighbor, i tried different number of neighbors and weighting schemes Random forest: I did not get a chance to fine tune it that much, but managed to get [Link]:https://www.kaggle.com/0.357 GINI with RF. I then ensembled all these models and tried different weights on each of these models to check how it improves the public leaderboard score. This ensemble i selected as a final entry which scored 0.392898 on a private leaderboard. The another ensemble containing only 3-XGBoost models would have scored 0.393273 on a private leaderboard. This ensemble contains, XGBoost model with linear objective, and RMSE criteria, Poission objective with default error metric (i.e. negative log likelihood) and Poisson objective with RMSE criteria. Lessons learnt: Model themselves have limitations in terms of how much you can improve on a single model. Feature engineering is quite crucial. I did not use any synthetic feature in my simulations. I wish i have focused more on feature engineering (may be in the next competition). Model stacking is something that seems to be promising. I did not get a chance to implement it here. I will post my codes soon on the forum. Best, abhijit",10,gold,8,Tue Sep 01 2015 07:02:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16254,/competitions/liberty-mutual-group-property-inspection-prediction,81st
/ori226,Please publish the true value of the test data and the scoring function,Hi! Good luck to everyone. Can the organizers of the competition publish the test value and the scoring function? I want to continue and explore the different methods. Thanks,0,None,2,Tue Sep 01 2015 10:27:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16256,/competitions/grasp-and-lift-eeg-detection,None
/qwlouse,Thank you everybody!,"I want to take the opportunity to thank everyone who participated in this competition! This was the first competition that I got to host, and it was a fun ride. The amount of enthusiasm, dedication and expertise that you guys put into this is truly amazing! For us this competition was a huge success, and I hope you enjoyed it as much as I did. At this point, I want to give special thanks to Alexandre Barachant who clearly is an expert in EEG data and has been very active since the very beginning of the competition. He was very open with his knowledge, helped many participants and his scripts and posts provide valuable insight into the data. Thank you Alexandre! Also (preliminary) congratulations to the winners! You beat our in-house models (AUC ~0.95) by quite some margin, and I'm really looking forward to learn how you pulled that off.",10,silver,5,Tue Sep 01 2015 11:32:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16257,/competitions/grasp-and-lift-eeg-detection,None
/chowdary,Even in private leaderboard copy-pasters exists!!!,The reason for us to participate in kaggle is to learn data-science as a hobby and in this competition we scored 0.380 and we now look at the scripts and are learning new things and approaches. We were really surprised that many copy-pasters still exists even in the private leaderboard. Good to see that people who scored >= 0.394 haven't shared their scripts or else even the top 5% of this competition would have been a real mess!!!,0,None,1,Tue Sep 01 2015 12:59:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16258,/competitions/liberty-mutual-group-property-inspection-prediction,1263rd
/ajaychat3,Fast loading of data in R,"The ""fread ""function from data.table package in R can be used for faster loading of files. I tried this and it works quite well.",0,None,3,Tue Sep 01 2015 12:59:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16259,/competitions/springleaf-marketing-response,475th
/pierreph,Whale's heart,"Not really data related, but I thought people interested in this competition might be interested in this article (and video) [Link]:http://www.iflscience.com/plants-and-animals/watch-scientists-explore-blue-whale-heart (explicit images - be aware if you are sensitive ;-))",1,bronze,1,Tue Sep 01 2015 13:48:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16260,/competitions/noaa-right-whale-recognition,None
/tombarta,Is it ok my submission file is over 300Mb?,"I generated submission csv file with pandas .to_csv function. But the size is 342,2Mb. Uploading the submission is taking forever. Is it ok it's so large or have I done something wrong?",1,None,4,Tue Sep 01 2015 14:33:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16261,/competitions/sf-crime,1768th
/shashankprasanna,MATLAB Toolbox List,"Hi Kagglers and Right Whalers, Nina Chen, Konrad Banachewicz and others brought it to our attention that the Computer Vision System Toolbox is currently missing from the list of toolboxes available for download. This was not intentional. We are working to get this resolved as soon as possible. As soon as I have an update, I will post here and add instructions on how to add this toolbox to your existing installation. Regards, Shashank",7,silver,9,Tue Sep 01 2015 15:36:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16262,/competitions/noaa-right-whale-recognition,None
/paulineolivier,Submission after competition,"Hello, I would like to know if i can make a submission even if the competition is closed ? Thank you, Pauline.",0,None,3,Tue Sep 01 2015 15:54:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16263,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/jiweiliu,Solution sharing,Congratulations to everyone! We hope to see some solution sharing by top players. Thank you all in advance. My team only tunes the benchmark a little bit. We really don't have much experience for regression problem..,8,silver,37,Tue Sep 01 2015 15:57:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16264,/competitions/machinery-tube-pricing,138th
/jiweiliu,Can we disable click-and-submit in the last week?,"Although it hasn't happened yet, but I am worried that some high score solution is published near the deadline, with the click and submission option.. It is just too convenient… I respect the learning aspects of the new script system and even the click and submit option. But at least for the last week, let it be about competing. Thank you!",2,bronze,11,Tue Sep 01 2015 16:07:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16265,None,None
/anuraag2,GMM vs DNN for emotion recognition,"I'm planning to make an algo that classifies speech to different emotions like anger, sadness etc.. I've short-listed GMM and DNN for the same(I know other possibilities but I have to implement either of the two) Can some one suggest me which will give me a better output? Also I'm planning to use features like pitch, energy and MFCC for the same. Any tips for proceeding further",0,None,1,Tue Sep 01 2015 18:37:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16266,None,None
/namesj,Simple gbm script to beat the benchmarks,"Hi, Posting here a very simple gbm script to beat the benchmark and get you started. Cheers [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/91251/2894/gbm.r",0,None,3,Tue Sep 01 2015 20:41:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16270,/competitions/springleaf-marketing-response,1902nd
/chriscc,Fine tuned XGB,"I ended up with PB 25th and here's my confession: I mainly used the public XGBoost scripts. Set min_child_weight to 100. Train each model with the best iteration from early stopping, then predict. With the first two step, I successfully improved the XGBoost script's PB score to 0.3914. Train another XGB model with mean hazards and counts by each original features. Simply combine the ranked predictions from the above two models with weights. The end. I tried ensemble RF, Elastic Net, Linear, SVM models, but didn't work effectively at all. I also tried a variety of other feature engineerings which didn't help either. Other things I tried: use Gini for XGB early stopping, use ranked hazard as labels, use rank model for XGB. None of them seemed work. Thanks, Chris,",11,silver,10,Tue Sep 01 2015 22:25:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16271,/competitions/liberty-mutual-group-property-inspection-prediction,26th
/carloshuertas,External Data (Repository),"As posted [Link]:https://www.kaggle.com/c/dato-native/forums/t/16154/external-dictionaries/91264#post91264, it seems that a forum topic for each external data will just fill the forum and make it hard to navigate. Post here all your external data, in a single topic, we can gather all together. I do not have any current external data.",0,None,12,Tue Sep 01 2015 22:27:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16272,/competitions/dato-native,13th
/inversion,Python Script to sort images,"This script creates folders for each of the 447 whales, and moves the training images into the corresponding folder. The test images stay put. This makes it easier if you want to manually crop images (and avoid touching the test images), check out images of the same whale, etc. … import os import pandas as pd train = pd.read_csv('train.csv', index_col='Image') whaleIDs = list(train['whaleID'].unique()) for w in whaleIDs: os.makedirs('./imgs/'+w) for image in train.index: folder = train.loc[image, 'whaleID'] old = './imgs/{}'.format(image) new = './imgs/{}/{}'.format(folder, image) try: os.rename(old, new) except: print('{} - {}'.format(image,folder)) copy",15,gold,7,Tue Sep 01 2015 23:36:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16275,/competitions/noaa-right-whale-recognition,15th
/konradb,Training Image Labeller app,"This is kinda embarrassing: can anybody explain to me how do I export the ROI as an .xml file? I only managed to dump the results into a Matlab object via the ""export ROI"" button.",1,bronze,18,Wed Sep 02 2015 00:27:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16276,/competitions/noaa-right-whale-recognition,153rd
/liushiqi9,Removing irrelevant VARS,Does deleting the irrelevant variables actual helps in decision tree model Or the decision tree model can auto detect the irrelevant variables and ignore it?,0,None,22,Wed Sep 02 2015 00:56:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16277,None,None
/inversion,baby whales - so cute!,Image w_5270 [Image]:http://i.imgur.com/aeuYvf4.png,6,silver,12,Wed Sep 02 2015 01:03:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16278,/competitions/noaa-right-whale-recognition,15th
/chrisfs,Division of labor in teams,Someone asked me about making a team for a challenge. One the one hand more people could be better but as I thought of it I don't know how the division of labor works out since I have only done one competition and it was on my own. How do people on teams split the work? Does someone clean data and everyone work from a common data source ? Do different people pursue different approaches? People in groups: how are you more effective than each of you on your own ?,2,bronze,1,Wed Sep 02 2015 09:45:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16279,None,None
/ramesh1805,Model selection,Do we have any tools to get the model selection using the data?,0,None,2,Wed Sep 02 2015 10:49:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16280,None,None
/vtsing,my solution  0.3498,"i try 4 models. private score: fm(0.363), rf(0.378), gbm(0.3929), xgb(0.39498). emsemble get no improve。 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/91312/2897/xgbpos.py",6,silver,7,Wed Sep 02 2015 12:20:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16281,/competitions/liberty-mutual-group-property-inspection-prediction,8th
/wildwizard,A checklist for competition preparation/Dataset approach,"Hello After seeing again some trouble during Cat competition, shouldn't we work together to propose a kind of ""checklist"" for things to check in data to avoid problems for future competitions? It would also be of great value for casual approach of new datasets. Can we share here our memories about past competitions or private datasets in order to improve datasets/competitions preparations? (please note it is note a way of trolling Kaggle or to say that it is bad and so on. I just want to be constructive here, as I learn a lot from Kaggle and all of you, it is my way to repay the favor) What's your ideas? Thanks by advance.",1,bronze,4,Wed Sep 02 2015 12:30:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16282,None,None
/jordangoblet,XGBOOST parameters tuning,"Dear all, I would like to tune my XGBOOST model. Could someone define a grid of parameter value to try? What are good boundaries? Best regards, Jordan",0,None,9,Wed Sep 02 2015 12:30:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16283,/competitions/springleaf-marketing-response,99th
/mylesoneill,Average wage of single person per state,Its interesting to see that women earn more than men in Maryland… I wonder what is driving that?,1,bronze,3,Wed Sep 02 2015 13:47:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16284,None,None
/adriadelatorre,Convert Json file into .csv or .R without programming skills,"Dear all, I would like to convert a json file into a .csv or a file readable by R in order to perform some statistical analysis. The point is that I have no programming experience and I haven't figured out yet how to solve it. I will really appreciate your help, Thank you very much! :)",-1,None,3,Wed Sep 02 2015 16:24:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16286,None,None
/gunner4life,% of response variables above 0.5,Any inputs on whether the end submission responses looks like having similar proportion of 1s as train responses?,0,None,7,Wed Sep 02 2015 17:44:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16287,/competitions/springleaf-marketing-response,393rd
/bitsofbits,Structure of our best net (HEDJ),"We plan on writing this up next week and the code will be released in a few days, but in the meantime, if anyone is interested in the structure of our best net (0.97088 on the private LB), here's sketch I put together. It's possible I still have some mistakes in it, so if you see anything odd let me know. And feel free to ask questions, it will help me focus the write up. The two key sections are the linear pre-filtering at the front and the portion where the data corresponding to recent events skips the final, drastic maxpooling. Linear elements are not typical in convents in my experience, but using linear elements to filter and downsample the data worked better for us than starting with nonlinear (ReLU) units. The drastic maxpooling at the end was used to reduce overfitting, but had the unfortunate side effect of making the temporal location of the signal fuzzy to dense portions of the net. By bypassing the maxpooling with a few of the most recent time points, we managed to keep the overfitting fairly low while removing the ambiguity. At least that's what I think is going on, it makes a good story, and it did improve our results, but who knows what the net was actually doing internally! VLReLU stands for ""Very Leaky ReLU"" (and ReLU stands for ""Rectified Linear Unit"" but it's usually written ReLU). In this case this is a nonlinearity of the form max(0.3*a,a). I think the other terminology is standard, but I'll be happy to explain anything you find ambiguous. [EDIT] I forgot to mention, that untied biases means that each filters has a separate bias parameter for each output location rather having one bias parameter per filter. This makes the filter more expressive at the expense of possibly overfitting. I found that using untied biases on some, but not all of the convolutional layers worked best: using them on all layers led to overfitting. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/91366/2898/stf7.jpeg",19,gold,2,Wed Sep 02 2015 18:54:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16288,/competitions/grasp-and-lift-eeg-detection,3rd
/inversquare,TREA - what is it?,"Does anyone know where we can grab more information on the SFPD Crime incident reporting system? Specifically, what is TREA as a crime category?",1,None,3,Wed Sep 02 2015 19:26:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16289,/competitions/sf-crime,None
/benhamner,xkcd style test,Ha! This reminds me of another user. His fiancée banned him from competing on Kaggle for the three months before his wedding.,7,bronze,4,Wed Sep 02 2015 19:44:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16290,None,None
/inversion,Whale Tails and Other False Positives,"The [Link]:https://www.kaggle.com/c/noaa-right-whale-recognition/forums/t/16278/baby-whales-so-cute got me thinking, I'm wondering if the ""face"" recognizer will have challenges with things that could be confused with a whale's callosity pattern, e.g., dolphins, eddy patterns around tails, callosity in the tail region, etc. Just throwing out the thought. [Image]:http://i.imgur.com/GSQlP6U.png [Image]:http://i.imgur.com/270ZTBX.png [Image]:http://i.imgur.com/7RIKguk.png [Image]:http://i.imgur.com/63vX8nA.png",0,None,2,Wed Sep 02 2015 20:31:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16291,/competitions/noaa-right-whale-recognition,15th
/tfurmston,Crimes that occur on a street corner,"I noticed that the addresses could be broken down into two different types. Those such as 'TOWNSEND ST / 2ND ST' and those such as '1300 Block of WEBSTER ST'. I took the presence of an '/' to indicate that the crime occurred on a street corner. Given that some crimes are more (or less) likely to occur on a street corner I decided to split the number of occurrences of each type of crime into whether it occurred on a street corner or not. This script gives this breakdown in the form of a bar chart. (Unfortunately the rendering seems to be slightly different than on my personal computer, so the labels on the x-axis are slightly out of line with the bars.) Generally more crime occurs off of street corners, with roughly 30% of all crimes occurring on street corners. There is a large amount of variation in this breakdown over different crimes. For instance, with prostitution around 80% of the examples recorded occurred on a street corner. There are also crime which very rarely occurred on a street corner, such as burglary or runaway.",1,bronze,4,Wed Sep 02 2015 20:48:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16293,None,None
/phanisrikanth,Optimizing logloss or AUC?,"As the evaluation metric is AUC, it's trivial that we should build models with higher AUC and thus optimize AUC. But, the FTRL benchmark in the scripts optimizes logloss. Also, I guess the top XGB models are performing well with binary:logistic objective (my hunch, I haven't tried it yet). Can anybody explain the intuition behind this? When I tried improving the FTRL implementation, my logloss went down but at the same time the AUC on LB also went down! I don't think I'm really overfitting. [Link]:https://www.kaggle.com/Kaggle Masters and others, By ""optimizing logloss"", are we really ""maximizing AUC"" ? Is it a certainty that if logloss reduces, AUC improves? Are there any caveats?",2,bronze,4,Wed Sep 02 2015 20:56:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16295,/competitions/springleaf-marketing-response,754th
/steves,XGBoost Experiments,At times I find myself setting the same seed….,3,bronze,7,Wed Sep 02 2015 21:20:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16297,None,None
/ironbar,Background Removal + Deep Convolutional Networks -> 1.232%,"Hi, I would like to share my aproaches to solve the Denoising Dirty Documents problems. First Aproach: Deep Convolutional Networks My first idea for solving this problem was using deep convolutional networks, which are commonly used in computer vision. I have writen a python script using theano for training and deploying fully convolutional networks very efficiently. For training I use an NVIDIA GTX 980M gpu. For a week I tested different architectures searching for the best. Below there is a scheme of the architecture that got the best score. [Image]:http://i.imgur.com/nkzpdgB.png The error I get was 2%, which was very far from 0.7% obtained by Colin at that moment. At this point I thought that with this aproach was difficult to make a great improvement. So I started thinking about new ideas. Second Aproach: Background removal + Deep Convolutional Networks I studied the dataset and I noticed that the noises are repeated every 12 pictures. [Image]:http://i.imgur.com/sVdfZ62.png Thus It was possible to extract a good aproximation of the background using all the pictures with the same background. [Image]:http://i.imgur.com/tD8ngDz.png Having the background Its easy to remove it from the noisy pictures. But when the noisy images are created there is a loss of information due to the use of the min function. Because of that the submission of the images whithout the background only gave a score of 5%. So I decided to train another convolutional neural network with this almost-cleaned images and I was able to get an error of 0.8% on the train set. Unfortunately the score was worse on the kaggle submision: 1.232% [Image]:http://i.imgur.com/M6a2huG.png The architecture used was for this network was different. [Image]:http://i.imgur.com/r1G1xxb.png I had the network training for nearly a week (during my holidays :) So now I'm againg stuck and I think I need a better aproach for being able to get an error smaller than 0.7%. Thanks ironbar",3,bronze,First Aproach: Deep Convolutional Networks,Wed Sep 02 2015 21:39:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16298,/competitions/denoising-dirty-documents,3rd
/kailex,N/A in the dataset,"In the dataset there are many values like ""-99999"", ""-1"", ""999999997"", ""999999998"", ""9996"", 9998"",""9999"", ""997"", ""998"",""97"", ""98"". Can we interpret them like N/A?",0,None,6,Thu Sep 03 2015 02:32:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16299,/competitions/springleaf-marketing-response,204th
/vikrant24,Error in Importing graphlab,I have installed graphlab using anaconda as per the given instructions and it went pretty smooth but when I try to import it in iPython notebook it gives me below - import graphlab as gl ImportError Traceback (most recent call last) in () ----> 1 import graphlab as gl ImportError: No module named graphlab Anyone else faced this any idea how to resolve this? I am using windows python.,0,None,12,Thu Sep 03 2015 04:20:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16300,/competitions/dato-native,152nd
/zeliek,Categorical Features,"Hi , I'm really weak in feature engineering, so I'd like to ask how do you deal with categorical features?It likes simple one-hot encoding doesnt work well, or even will get a decrease in AUC.",2,bronze,8,Thu Sep 03 2015 10:54:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16301,/competitions/springleaf-marketing-response,1st
/jumbaminyoso,Conditional volatility in r,"so i have a deadline for submission of my project work.but I have tried as much as I could to get an output for conditional means and volatility but it just seems not to work.Can someone pls help?Attached is my data set and Here is my code: library(foreign) mydata <- read.dta(""c:\Users\sandra\Desktop\DT.dta"") mydata <- as.data.frame(mydata) attach(mydata) convert into TS OBJECT tsObj<-ts(data=mydata$dailyreturns, frequency = 245,start=c(2014,5), end=c(2014,12)) tsObj print ts object print(tsObj, calendar = TRUE) plot(tsObj) plot.ts(tsObj) A phase plot: plot(tsObj, lag(tsObj, 1), cex = .8, col = ""blue"", main = ""Lag plot of daily returns"") determining returns returns.func <- function(dailyreturns,method=""log"") { out.put <- length(dailyreturns) out.put <- 0 for (i in 2 :length(dailyreturns)) { out.put [i] <- (-1)*log(dailyreturns[i]/dailyreturns[i-1]) } out.put } out.put <- returns.func(mydata$dailyreturns) plot negative log returns newData<-data.frame(day=1:245,date=mydata$date,out.put) plot(newData$day,newData$out.put,type=""l"",ylab=""Returns"", xlab=""Time (days)"") #not possible Declarations lambda <- 0.90 horizon <- 245 mean.func <- function(returns.func, lambda, horizon) { means <- 0 omega <- 0 j <- 1 for(i in horizon : length(returns.func)) { omega <- (1-lambda)(lambda^i)(1/(lambda^((i-horizon + 1):i))) means[j] <- sum(omega*(returns.func[(i-horizon + 1):i])) j <- j+1 } means } means.val <- mean.func(out.put, lambda, horizon) means.val Declarations Theta <- 0.99 Determining the variances variance.func <- function(out.put, means.val, lambda, horizon) { variances <- 0 omega <- 0 j <- 1 #k <- 1 for(i in horizon : length(out.put)) { omega <- (1-lambda)(lambda^i)(1/(lambda^((i-horizon + 1):i))) variances[j] <- sum(omega*(out.put[(i-horizon + 1):i]-means.val)^2) j <- j+1 #k <- k+1 } variances } variance.vals <- variance.func(out.put, means.val,lambda, horizon) variance.vals Determining standard deviations std.deviations <- sqrt(variance.vals) Determining error Terms --- what is this loop doing? out.put2 <- 0 j <- 1 for (i in 250:length(out.put)) { out.put2[j] <- out.put[i] j <- j+1 } error.terms <- rnorm(length(out.put2),0,1) error.terms Determining the Quantile --- where is the vector Teta coming from? var.x <- means.val + std.deviations* (quantile(error.terms , probs = Teta)) Determining the Expected shortfall shortfall.func <- function(var.x, out.put2) p <- 0 B <- 0 ex.shortfall <- 0 rel.ex.shortfall <- 0 for(i in 1: length(var.x)) { if( out.put2[i] > var.x[i]) { ex.shortfall[B] <- out.put2[i] B <- B + 1 } } B abs.ex.shortfall <- mean(ex. shortfall) abs.ex.shortfall percent <- (B/length(var.x))*100 percent return(abs.ex.shortfall, B, percent) plotting returns, means, standard deviations ts.plot(out.put2) axis (xlab=""date"", ylab=""dailyreturns"") ts.plot(means.val) axis (xlab=""date"", ylab=""Conditional mean"") ts.plot(std.deviations) axis (xlab=""date"", ylab=""Conditional Volatility"") plotting VaR and Expected Shortfall ts.plot(out.put2) ts.lines(var.x) axis (xlab=""date"", ylab=""dailyreturns"") line with 0 intercept and slope 1 abline(abs.ex.shortfall, 0) axis (xlab=""date"", ylab=""dailyreturns"")",0,None,A phase plot:,Thu Sep 03 2015 11:16:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16302,None,None
/benmoran,Extra images,"The data page says: ""To discourage hand labeling, we have supplemented the test dataset with some images that are resized, cropped, or flipped. These processed images are ignored and don't count towards your score."" Could anyone explain more about what this means? Are some of the unlabelled pictures in imgs.zip these processed files? The flipping sounds like it could potentially cause problems, if the recognition of individuals depends on asymmetric markings.",0,None,3,Thu Sep 03 2015 14:03:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16303,/competitions/noaa-right-whale-recognition,136th
/binomka,Discrepancy in PURCHASEID_hash,Hello everyone Who can explain why number of unique PURCHASEID_hash in [coupon_detail_train] and [coupon_visit_train] is different? 114775 in coupon_visit_train and 168996 in coupon_detail_train Thanks in advance,1,bronze,4,Thu Sep 03 2015 16:16:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16304,/competitions/coupon-purchase-prediction,410th
/marian,tonz of lulz (links in 1st comment),[Link]:http://i.imgur.com/F3KjyNi.gif [Link]:http://i.imgur.com/Xz08agL.gifv [Link]:http://i.imgur.com/cV2oeav.gif [Link]:http://i.imgur.com/oyPFqcv.gif [Link]:http://i.imgur.com/78AGZ96.gif [Link]:http://i.imgur.com/qfZaoOU.gifv [Link]:http://i.imgur.com/53L52rZ.gif [Link]:http://i.imgur.com/f5nQvrt.gif [Link]:http://i.imgur.com/ricLBZw.gif [Link]:http://i.imgur.com/tVdttdG.gif [Link]:http://i.imgur.com/BPCScMl.gif [Link]:http://i.imgur.com/Tic8N.gif [Link]:http://i.imgur.com/cEEp0Fz.gif [Link]:http://i.imgur.com/tLpyGPw.gif [Link]:http://i.imgur.com/yS9kN3q.gifv [Link]:http://i.imgur.com/b2e1Y8D.gif [Link]:http://i.imgur.com/HeT7gf5.gif [Link]:http://i.imgur.com/eMC98.gif [Link]:http://i.imgur.com/ZVFeE.gif [Link]:http://i.imgur.com/lA91pOw.gif [Link]:http://i.imgur.com/CAgncjL.gif [Link]:http://i.imgur.com/gv2f6nH.gifv [Link]:http://i.imgur.com/tJaBJjl.gif [Link]:http://i.imgur.com/nXZ74NB.gif [Link]:http://i.imgur.com/E1TIT75.gifv [Link]:http://i.imgur.com/zlwAn.gif [Link]:http://i.imgur.com/bEqQYsk.gifv Mr.Smooth [Link]:http://i.imgur.com/e1yvAn8.gifv [Link]:http://i.imgur.com/Egk80.gif [Link]:http://i.imgur.com/Z4ygvUV.gif [Link]:http://i.imgur.com/t2pw9ja.gif [Link]:http://i.imgur.com/2WqpnpA.gifv [Link]:http://i.imgur.com/nSS4GDf.gif [Link]:http://i.imgur.com/oIcl7.gif [Link]:http://i.imgur.com/euLq22x.gif [Link]:http://i.imgur.com/k3qcfFR.gifv [Link]:http://i.imgur.com/Wqvve63.gif [Link]:http://i.imgur.com/fNj4074.gif [Link]:http://i.imgur.com/h9Zh6PF.gifv [Link]:http://i.imgur.com/xC01nom.gifv [Link]:http://i.imgur.com/AE40cBZ.gif [Link]:http://i.imgur.com/i9bUWTD.gif [Link]:http://i.imgur.com/GiMD5dC.gifv [Link]:http://i.imgur.com/KMZP8y9.gifv [Link]:http://i.imgur.com/cT5eg.gif [Link]:http://i.imgur.com/Tms6A7y.gif [Link]:http://i.imgur.com/aZrDNwq.gif [Link]:http://i.imgur.com/wo6XTTN.gif [Link]:http://i.imgur.com/u6roKCB.gif [Link]:http://i.imgur.com/HeT7gf5.gif [Link]:http://i.imgur.com/xx8WjzF.gif [Link]:http://i.imgur.com/tANdvY3.gif [Link]:http://i.imgur.com/K4w0qZw.gif [Link]:http://i.imgur.com/v6dFs83.gif [Link]:http://i.imgur.com/1oTWuKV.gif [Link]:http://i.imgur.com/xsu7zcI.gifv [Link]:http://i.imgur.com/r3ItOrk.gif [Link]:http://i.imgur.com/cHJzdJc.gif [Link]:http://i.imgur.com/nppbNtf.gif [Link]:http://i.imgur.com/FD0DZt5.gifv [Link]:http://i.imgur.com/Ufbr5ej.gif [Link]:http://www.gifbin.com/bin/15g6454656.gif [Link]:http://i.imgur.com/sAlyLOG.gif [Link]:http://i.imgur.com/AZUM1ne.gif [Link]:http://i.imgur.com/u1mMswA.gif [Link]:http://i.imgur.com/fI6rDKl.gif [Link]:http://i.imgur.com/NiPAP3M.gif [Link]:http://i.imgur.com/SLPuH4R.gifv [Link]:http://i.imgur.com/xDGN5qc.gif [Link]:http://i.imgur.com/onL7IqY.gif [Link]:http://i.imgur.com/Xx2AM2h.gif [Link]:http://i.imgur.com/K4n5AGM.gifv [Link]:http://i.imgur.com/oIsKpXd.gif [Link]:http://i.imgur.com/TYEHPa5.gifv [Link]:http://i.imgur.com/yAyYZtH.gif [Link]:http://i.imgur.com/BY06jWm.gif [Link]:http://i.imgur.com/rAo1uS3.gif [Link]:http://i.imgur.com/Mdz3J37.gifv [Link]:http://i.imgur.com/zJMr9LV.gif [Link]:http://i.imgur.com/CttqvE6.gif Always this. [Link]:http://i.imgur.com/vfV8tqf.gif [Link]:http://i.imgur.com/BVebWEV.gifv [Link]:http://i.imgur.com/zobthoM.gif [Link]:http://i.imgur.com/n3SE40n.gif [Link]:http://i.imgur.com/wA6aMPH.gif [Link]:http://i.imgur.com/5Fx1Aow.gifv [Link]:http://i.imgur.com/ygDaP6E.gifv [Link]:http://i.imgur.com/YkemKNy.gifv [Link]:http://i.imgur.com/4hgAaHm.gif [Link]:http://i.imgur.com/QPu1tzq.gifv [Link]:http://i.imgur.com/fjfPe5C.gif [Link]:http://i.imgur.com/5JbtgjK.gif [Link]:http://i.imgur.com/WHvUQ1M.gifv [Link]:http://i.imgur.com/HFpU6zS.gif [Link]:http://i.imgur.com/MGjLnpD.gif [Link]:http://i.imgur.com/oAbXx09.gif [Link]:http://i.imgur.com/RzBVdHW.gif [Link]:http://i.imgur.com/jotiB7s.gif [Link]:http://i.imgur.com/9MgVlwW.gif?1v [Link]:http://i.imgur.com/cgtq4Cc.gif,0,None,3,Thu Sep 03 2015 16:38:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16305,None,None
/csizsek,translate japanese to english - python,"Awesome script Prasanna, thank you for sharing it with us. I was running it with Python 2.7 and LC_CTYPE=UTF-8 but I got a UnicodeError for line 9: UnicodeDecodeError: 'ascii' codec can't decode byte 0xe3 in position 0: ordinal not in range(128) Adding the following 3 lines before line 4 (i.e. the decode_text function) fixed the issue: import sys reload(sys) sys.setdefaultencoding('utf8') Maybe you can add these to your script to make it work for a wider audience.",4,bronze,5,Thu Sep 03 2015 18:03:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16306,None,None
/killniu,why unique coupon_id_hash in coupon_list_train table is less then unique view_coupon_id in visits table?,"the coupon_list train data is the master table, and the visits train table is to join with list table. but the unique coupon id in the list table is less than the visits table. Does this mean a lot of coupons in the visits table cannot get attributes from the list table? len(visittrain.view_coupon_id_hash.unique()) Out[7]: 32628 len(listtrain.coupon_id_hash.unique()) Out[8]: 19413 copy",2,bronze,2,Thu Sep 03 2015 21:26:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16307,/competitions/coupon-purchase-prediction,None
/cftoro,Submission,"Are you guys submitting the target value or the value you the prediction?? I mean, if you got ""0.0055"" that would be a ""0"" in the target so your submission files have a bunch of 0 and 1 or a bunch of decimals??",0,None,2,Thu Sep 03 2015 21:42:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16308,/competitions/springleaf-marketing-response,1832nd
/davutpolat,Feature Size,"Hi Guys, How many features are you using right now to get below 0.25 ?",1,bronze,5,Thu Sep 03 2015 21:48:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16309,/competitions/deloitte-western-australia-rental-prices,25th
/abednadir,XGB_3,"This thing uses 3 rows for validation and 3 rows for training? Won't this amount of CV reduce the ability to generalize to new predictions? If it actually works, why?",1,bronze,2,Thu Sep 03 2015 21:59:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16310,None,None
/sandipb,Database column names meaning?,"Hi, Thanks for hosting this. I started looking at the db but the names and values I am not very familiar with, e.g. link_id, author_flair_css_class etc. Can somebody point where I can get documentation for this?",3,None,2,Fri Sep 04 2015 02:07:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16314,None,None
/aashanand,Feature Scaling with XGBOOST?,Just wondering what people's approach is with feature scaling using XGBOOST. I recall reading somewhere that Tianqi Chen (one of the creators of the package) suggests that feature scaling is not required for tree ensemble methods (Edit: [Link]:https://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf). Has anyone tried feature-scaling with XGBOOST to any positive effect?,2,None,4,Fri Sep 04 2015 02:51:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16316,/competitions/springleaf-marketing-response,1160th
/benhamner,All the Single Ladies! 2.0,"Nice analysis! For all the charts, it would be better to plot percentages or ratios. This survey only represents a small fraction of the population in each city, which makes the raw counts confusing to those just glancing at this.",2,bronze,3,Fri Sep 04 2015 05:40:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16317,None,None
/mmueller,My Top15 Solution,"Dear Kagglers, I learnt alot in this competition due to the great community and I want to share my solution in order to ""give something back"". My solution scores 0.394519 @ Private LB (Top15). You can find the sources here: [Link]:https://github.com/far0n/kaggle-lmgpip It is based on [Link]:https://www.kaggle.com/justfor/liberty-mutual-group-property-inspection-prediction/bench-stacked-generalization by [Link]:https://www.kaggle.com/justfor and the famous .3911 script [Link]:https://www.kaggle.com/soutik/liberty-mutual-group-property-inspection-prediction/blah-xgb by [Link]:https://www.kaggle.com/soutik.",14,silver,2,Fri Sep 04 2015 06:52:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16318,/competitions/liberty-mutual-group-property-inspection-prediction,16th
/aviblinder,Cloud vs. Local machine - Pros and Cons,"Hi everyone, I'd like to hear some opinions about setting up a cloud machine dedicated to the competitions. I'd like to hear pros and cons. Right now, I'm using a laptop and when I execute some time-consuming models, the rest of the applications became sluggish… On the other hand, the storage of relatively big files (as the ones used in this competition), may be quite expensive… Any other thoughts? Avi",0,None,10,Fri Sep 04 2015 11:09:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16320,/competitions/springleaf-marketing-response,195th
/wawanco,K-Nearest-Neighbour,Using only X and Y features (geo coordinate) Result : 25.15939,0,None,1,Fri Sep 04 2015 14:44:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16323,None,None
/xugang137,Numerical v.s. Character Columns,"There is an excellent post on digging into the springleaf data: [Link]:https://www.kaggle.com/darraghdog/springleaf-marketing-response/explore-springleaf where I saw: ## Numerical column count : 1875 ; Character column count : 52 But 1875 + 52 =/= 1934. Is this some glitch in the pandas package, or the author had preprocessed data some way? In the above link, I didn't see Darragh mentioned that in the article/code. For the number of total columns, see (for example): [Link]:https://www.kaggle.com/c/springleaf-marketing-response/forums/t/16217/just-fyi-there-are-two-missing-var-ids I did process the columns myself by coding in python and the ""csv"" package. I found 51 char columns and the rest are numerical. Best, G.X.",1,bronze,2,Fri Sep 04 2015 17:18:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16324,/competitions/springleaf-marketing-response,1398th
/abhicloudstalk,To the Admins:Using Azure ML,I am very new to Kaggle and wanted to know that if I can use Azure ML for this challenge and then submit the csv file generated.A reply will be much appreciated.Thanks,0,None,1,Sat Sep 05 2015 18:30:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16334,/competitions/flavours-of-physics,None
/lawrencechernin,Tableau Views of Coupon Training Data,I posted a Tableau Workbook with various views of the data: coupon_list_train.csv Let me know if there is anything else interesting to add. [Link]:https://public.tableau.com/profile/lawrence.chernin#!/vizhome/CouponPurchaseKaggleData/Main [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/91673/2913/Screen Shot 2015-09-05 at 5.30.14 PM.png,9,silver,5,Sun Sep 06 2015 02:32:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16336,/competitions/coupon-purchase-prediction,100th
/dietcoke,Prediction v causation,"""Springleaf is asking you to predict which customers will respond to a direct mail offer."" Would it be better to ask, ""what is the effect of receiving a direct mail offer on the probability of purchase?"" It seems like this second question is more closely aligned with Springleaf's profit motive. It is also causal in nature – I can't imagine answering it with the information provided. Or better yet, we could ask, ""what is the effect of receiving a direct mail offer on the profitability of the customer?"" After all, selling a loan to a customer who plans to default is a losing proposition. Again, I can't imagine answering this third question with the information provided.",1,bronze,18,Sun Sep 06 2015 02:48:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16338,/competitions/springleaf-marketing-response,922nd
/antreasantoniou,XGB vs Deep MLP Network,"Hello guys, I was wondering if anyone managed to break the 0.79 barrier with deep learning? I managed to surpass 0.80005 using XGB but with deep learning technologies such as stacked autoencoders or deep fcc networks or combinations of the two I didn't manage to get over 0.77. I was wondering what your thoughts are on deep nets with fully connected layers + batch_normalisation+ dropout for this task. Also if anyone is interested in investigating further with me please let me know.",4,bronze,42,Sun Sep 06 2015 04:39:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16339,/competitions/springleaf-marketing-response,102nd
/thibmain,Coupon in list_train but not in area_train,"Hi everyone, I have found that some coupons (209 in total if I am not mistaken), such as c3923060982988d1df9ea2dc5810cb3b can be found in coupon_list_train.csv but not in coupon_area_train.csv Is it normal ? More generally, what is the use of the area_train file given that the information (PREF_NAME and SMALL_AREA_NAME) is already contained in the coupon_list_train file ?",0,None,1,Sun Sep 06 2015 14:30:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16340,/competitions/coupon-purchase-prediction,68th
/yejiming,0.99811? Is that possible?,"I don't believe this is for real, lol.",5,silver,16,Sun Sep 06 2015 15:45:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16342,/competitions/dato-native,46th
/jakublangr,Springleaf Fusion,"How much RAM did you require to run this? I was trying some Pandas-based algorithm run on Mac Pro 8 GB RAM in a Docker ""VM"" with 6 GB RAM and was getting memory errors constantly when I tried to work with both train and test set at the same time. (Loaded in as a pandas DF).",0,None,3,Sun Sep 06 2015 16:14:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16343,None,None
/webscale,The point of this competition,"I am wondering as to the point of this competition. On the leaderboard , the difference between the top ranking model and the 50th percentile rank (halfway on LB) is about 3.5% improvement in AUC. Further , you can get to an AUC of about .77 in about 3-4 hrs of work by running GBM out of the box without much work. This could be drastically different if the sponsors put some metadata on the feature names and get true insights from participants. Seems like all that we are competing now is on ability to run faster on AWS .",4,bronze,6,Sun Sep 06 2015 16:33:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16344,/competitions/springleaf-marketing-response,1913th
/deega3000,Python Codes - File Merger,"I am new to Python, so would somebody advice me on this. We need some features from User_list file and some features from other files like Coupon_list_training. So is it a good idea to merge these files and create one master file and then write codes by calling that master file. Or instead of this it is better to keep the files as it is and call them in the python program as and when required. Thanks in advance",0,None,3,Sun Sep 06 2015 17:35:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16346,/competitions/coupon-purchase-prediction,594th
/kdatkaggle,Any suggestions to improve the performance? ,"Hi! It has been a while that I cannot get any improvement of my performance. I tried different techniques on transforming the features, like defining new features, standardizing, PCA, etc. And also tried different models, mostly from sklearn, and stacking different models (but it seems that feature engineering is much more important). No matter what I tried, my score never goes beyond 2.30 (from my 4-fold cross validation). I feel a little bit lost, in terms of what I can do to improve the performance. If you could give me any suggestions, hints or possible directions to try, I'll be very appreciated!",0,None,8,Sun Sep 06 2015 20:35:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16348,/competitions/sf-crime,99th
/del=9f22e8860bc1addb,Are we allowed to use GPU's for competition?,"Hello, can we use GPU's for training the algorithms?",0,None,2,Sun Sep 06 2015 23:11:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16350,/competitions/noaa-right-whale-recognition,None
/hillarysanders,"Won't duplicated flipped images lead to overfitting in the training dataset, even with cross validation?!","| To discourage hand labeling, we have supplemented the test dataset with some images that are resized, cropped, or flipped. These processed images are ignored and don't count towards your score. --> seems like this will cause a big overfitting problem. Cross validating on the training set will lead to overfitting because of the duplicated images. The best model will probably the the one that circumvents this issue by detecting duplicates and removing them from the training set so that the model can be fit correctly. Opinions?",0,None,2,Sun Sep 06 2015 23:48:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16351,/competitions/noaa-right-whale-recognition,None
/teajay,r/UKPolitics Political Opinions,Many redditors at r/ukpolitics have completed the political compass test [Link]:http://www.politicalcompass.org/ and put their results in their flair. The graph created above shows the distribution of political opinion in the subreddit. It should be noted that the validity of politicalcompass.org is very much up for debate.,1,bronze,1,Sun Sep 06 2015 23:49:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16352,None,None
/smerity,Annotated faces for NOAA Right Whale,"I have annotated 300 whale faces for 11 of the most frequent whales in the dataset and released those annotations online for anyone to use. [Link]:https://github.com/Smerity/right_whale_hunt The annotations were done using [Link]:http://sloth.readthedocs.org/en/latest/ and the Sloth configuration file has been included. There is also simple thumbnail extraction code included which processes the JSON file produced by Sloth. The JSON format should be readily convertible into the format used by Matlab. [Image]:http://i.imgur.com/o5cf6pd.jpg If people would like to contribute, more annotated images would be brilliant, though I'm not sure how we can coordinate that to ensure there isn't large amounts of redundant effort. The thumbnail extraction code could also use some love - the optimal case would be to not pad the images with white but instead to use extensions from the original image. The annotation task is not too difficult, especially given Sloth. There are some images which are highly ambiguous but the majority are quite clear. I've skipped ambiguous images as we'd likely need clear annotation guidelines to resolve them. Two notes I've picked up from manually analyzing so many images: Many of the classifiers will be taking advantage of whale images being taken at similar times, occasionally within seconds of each other. I've tested this by running a CNN on 96x64 thumbnails of the full images. The parable about the US army using neural networks to automatically detect camouflaged enemy tanks, then discovering it only picked out clear and cloudy photos, seems applicable here. Some of the cameras have defects that could be used in a similar way. As an example, there is a distinctive black dot in the right bottom of [w_3620.jpg, w_5478.jpg, w_6828.jpg, w_7812.jpg, w_8351.jpg, w_934.jpg, w_9463.jpg] amongst others. Specularity and ocean spray make identifying callosity patterns quite difficult. Some manner of data augmentation using blurring or obfuscation would be a good idea due to callosity patterns being below the surface of the water. P.S. I nearly lost all the annotations as I stupidly ran a sed 's/imgs_sub/imgs/g' sloth.json > sloth.json (piping into the same file). It was like a slow motion horror film. My head said ""I'll pipe into the same filename in /tmp/ to prevent piping into the same file and destroying it"" but my fingers said ""I'm lazy"". I recovered the file by grepping my hard drive for the distinctive JSON fields and then reassembling the individual JSON records, saving 285 of the 289 then annotated whales. Horror.",26,gold,9,Mon Sep 07 2015 00:46:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16353,/competitions/noaa-right-whale-recognition,76th
/colinpriest,Denoising with R: Part 6,"This script uses surrounding pixels as predictors. For a full description, and a more complete model, read my blog at [Link]:http://colinpriest.com/2015/09/07/denoising-dirty-documents-part-6/",0,None,1,Mon Sep 07 2015 02:34:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16355,None,None
/pratibhads,Anyone interested to team up for this competition?,,0,None,19,Mon Sep 07 2015 02:41:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16356,/competitions/facial-keypoints-detection,None
/bellar,team merger?,"Hi, I was wondering if someone would like to team up?",0,None,1,Mon Sep 07 2015 03:15:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16357,/competitions/dato-native,7th
/salvadordali,What stops people from detecting whales by hand?,"As far as I understood, a huge part of the competition is to build a system which will automatically detect the face of the whale on the picture. So what stops people from detecting the faces by hand (takes like 30 seconds per picture) and then feeding these nicely selected faces to an algorithm? It will not take a lot of time to do this, by outsourcing the work.",0,None,3,Mon Sep 07 2015 07:42:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16359,/competitions/noaa-right-whale-recognition,None
/derrickzy,Random Forest,good,0,None,1,Mon Sep 07 2015 13:01:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16362,None,None
/apaszke,RNN approach,"Hi! I have little knowledge in EEG and signal processing but I worked on this competition, because I was curious how good RNNs can do in here. Unfortunately I missed the first-submission deadline and therefore I have no idea of the final score I would get. If any of you are interested in trying them out you can check out my code at github (it's using Torch): [Link]:https://github.com/apaszke/kaggle-grasp-and-lift I've also written a blog post describing some LSTM implementation details: [Link]:http://apaszke.github.io/lstm-explained.html If you have any questions, suggestions, would like to try it out or just talk, feel free to message me or write here.",2,bronze,4,Mon Sep 07 2015 20:22:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16365,/competitions/grasp-and-lift-eeg-detection,None
/abednadir,How to describe an xgb logistic regression simply?,Who here knows how to describe this process in layman's terms?,2,bronze,6,Tue Sep 08 2015 01:28:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16367,/competitions/springleaf-marketing-response,563rd
/del=afe15d65ca56fa7f,Beating the Benchmark,How does this one score on the LB?,0,None,1,Tue Sep 08 2015 02:22:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16368,None,None
/chrisfs,"How best to deal with NA, -1 and similar entries ?","In the data, there are a number of 'values' such as na, -1 or 999999998, since these aren't actual numerical values, what is the best way to deal with them given that they will mess up or be outright refused by some ML approaches. Is converting them to the mean,median, or most common value the best way to go ? I am considering that, but if they mean above or below a certain arbitrary value, than that's different. Has anyone experimented with this and is willing to share insights ?",4,bronze,2,Tue Sep 08 2015 02:43:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16369,/competitions/springleaf-marketing-response,None
/tushartilwankar,python xgboost segmentation fault (core dumped) error,I am getting segmentation fault (core dumped) error on AWS 32gb ubuntu 14.04. When number of rows exceeds 100k then I am facing the issue? Is anyone facing the same issue?,0,None,1,Tue Sep 08 2015 07:05:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16370,/competitions/springleaf-marketing-response,445th
/tkchaudhary,Final standings of first week!!!!,When will the final leader board for week 1 will be released ?,0,None,1,Tue Sep 08 2015 10:29:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16371,/competitions/think-big-usyd-semester-2-2015,186th
/mark42,Existing tool for transforming / cleaning up data?,"I was working on transforming the data to hopefully get better predictions. But the code keeps growing and I can't help thinking that someone must have done this before (and probably better). For example, I would like to: Mark some range as NaN Set NaNs to some value or shift them (e.g. the 99998 and 999999 to 0 and 1) Shift value (e.g. before doing the above) Histogram equalization, or other transformations of pdf/cdf Convert categorical vars to useful representations Convert datetimes to e.g. time-since Get correlation with other variables Make new vars based on old one(s) (e.g. xor, isnan) Delete some variables It should remember these operations so I can re-apply them to test data. I imagine it would be very useful if a tool would, for each variable, show me at least a histogram and data type, then let me select operations and show the result. What existing library of software (that is allowed by the rules) has some of these capabilities? If such software doesn't exist, perhaps I'm approaching this wrongly? How are others approaching this, if they want to share? (EDIT: to clarify, none of the operations is very hard, but I would like a tool that assists me in choosing the operations and remembering, to make it easier to clean up >1000 vars. E.g. show before and after versions of histogram equalization, and store the cdf for reapplying on test data.)",0,None,2,Tue Sep 08 2015 11:34:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16372,/competitions/springleaf-marketing-response,2144th
/filipus,two stage model,hi i am wondering whether a user will see all coupons in the list… in case the customer want see all it cant purchase coupons of the non seen coupons right so… maybe one need to understand (predict) which coupons will be offered by the webpage first (first stage) from this list one need get the most probable purchased coupons (second stage) the multiplication of bothe probabilities are the one of the two stage model what do you think??? post scriptum: i still didnt get the role of the area file. when i have a look at the web page then area is a part of the webpage (left upper corner). maybe one of those clever guys in this forum can explain,0,None,5,Tue Sep 08 2015 18:27:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16376,/competitions/coupon-purchase-prediction,413th
/gizmo99,Clustering user profile data,"Hello All, I am new to Kaggle and data science in general. I have small text editor app and I have collected some user profile data (location, age , etc) as well as overall app usage stats for each user. I would like to understand my users better by determining if there are any correlation between the data I have collected. Is there a way to feed data into an algorithm that will automatically determine correlation and automatically create different groups of user profiles in unguided manner?",0,None,1,Tue Sep 08 2015 19:37:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16377,None,None
/carsonlam,vi cookies.txt Then copy-paste kaggle cookie into this file,"Ok, this might be embarrassing… I am trying to follow the Deep Learning Tutorial, I am really new at this and have no idea what this step means,: ""You need to copy-paste from your browser's cookie into a file called cookie.txt in order to get the correct data files….you need to copy-paste your cookie.txt file yourself. "" after doing this vi cookies.txt my command prompt looks like: ec2-……….amazonaws.com ~ ~ ~ ~ . . . -- INSERT -- what am I supposed to do here? how does the training.zip and the test.zip data files have to do with the browser cookies? Thanks ahead of time!",0,None,2,Tue Sep 08 2015 20:39:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16378,/competitions/facial-keypoints-detection,None
/benhamner,Welcome to Meta Kaggle!,"Kaggle's worked with hundreds of organizations to publicly release their data and run competitions on it. However, we've not taken a moment to do the same on our own data. Until now. By popular demand, we're starting to release the Kaggle site data that we can make public. This initial release contains data on the core use for the Kaggle platform: make a submission in a competition. It includes data on competitions, submissions, users, and teams. You can access it through [Link]:https://www.kaggle.com/c/meta-kaggle/scripts as well as share your analytics on it. Over time, we'll be adding more data to it (including forums and scripts). We're excited to see what you discover!",11,silver,13,Tue Sep 08 2015 21:19:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16379,None,None
/benhamner,Help clean Hillary Clinton email dataset?,"I thought Hillary Clinton's emails during her tenure as Secretary of State would be a fun dataset to host on Kaggle. However, it wasn't released in a convenient form: it starts out as raw PDF documents. Is anyone interested in helping to clean/normalize it in a better form for hosting? I've started [Link]:https://github.com/benhamner/hillary-clinton-emails to do so, performed a basic text extraction from the PDF's, and partially extracted some of the relevant fields. If you're interested in helping out, please see the README on the repo for next steps, and submit a pull request!",6,silver,2,Wed Sep 09 2015 04:55:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16382,None,None
/supernova117,FTRL with validation and auc,"run it one more time, one more version @@@@@@@@",0,None,7,Wed Sep 09 2015 05:19:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16383,None,None
/rushter,Top 100 by number of competitions,This information differs from the kaggle leaderboard. Did I miss something?,0,None,3,Wed Sep 09 2015 09:23:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16384,None,None
/devinanzelmo,Top 100 users by number of submissions,My guess for most submissions before I clicked on this script was Mike Kim. It might also be interesting to see the relationship between number of submissions and position change between final public leaderboard and the private leaderboard.,2,bronze,3,Wed Sep 09 2015 15:35:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16387,None,None
/tmjiang,Binary classification with unexplained data,"Please shed some light on me with this task. Description Assuming the training data looks like 0 | X773579,Y2640,Y2072,Z4,Z15 1 | X374616379,X773579,X344420902,Y1940,Y1705,Z4,Z15,Z26 ... copy One would like to predict 0/1 from those comma separated values, without further explanation about what exactly the X, Y, and Z with numbers mean. Some rare cases even have un-numbered X or Y (possibly just noises though). The length of comma separated values varies, but each row contains no repeated values. Also, the length of numbers seem correlated to X, Y, and Z. The data size is 1 million rows. Feature In LibSVM format Label | Value_ID:1... Example 0 1:1 2:1 3:1 4:1 5:1 1 1:1 4:1 5:1 14:1 36:1 37:1 38:1 39:1 I've tried treating those values categorically and applying several different models of Spark MLlib, namely linear regression, logistic regression, decision tree, random forests, gradient-boosted trees, and SVM, along with LibSVM and Conditional Random Fields. Their 5-fold cross-validations got only 75%~79% accuracy. I really want to know if there's any formal way to discover the signal from the data, build up models, extract and even select features accordingly. Admittedly I haven't done ANOVA yet. For the ""formal way"", based on a comment on [Link]:http://stats.stackexchange.com/questions/171725/binary-classification-with-unexplained-data#comment324564_171725 said What is a formal way? A fixed recipe? There's no such thing in machine learning and even general principles how to tackle such a problem will be highly opinion based. Allow me to add a few words here: I totally agree, just wondering if there's something I don't know. In fact I dislike this task in the first place since it doesn't feel like a properly defined one. Thank you! Background (self-disclosure) This is a private interview question and the employer didn't share any details (except ""no offer"" response :p). Although I specifically asked twice that I would like to learn from it, no reply so far. Book studying/studied Pattern classification Pattern recognition Foundations of Statistical Natural Language Processing Speech and Language Processing What I may try next Based on a discussion on [Link]:http://datascience.stackexchange.com/questions/8045/binary-classification-with-unexplained-data#comment7538_8045: I have done some quick frequent pattern analysis and found certain n-grams. The problem was that they seemed associated with both labels 0 and 1. I will run some feature templates of bi-gram and tri-gram, and then get back to you. One thing that is also intriguing to me is, in NLP, sometimes labels also got dependencies, namely some 1 may be followed by certain patterns of 0 and vice versa.",1,bronze,Description,Wed Sep 09 2015 15:50:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16388,None,None
/domcastro,Top 100 users by daily submissions,"That's better - I think I'm out the Top 100 now! I've been a member for ages so the stats were a bit warped, for example, I've entered 45 competitions over 5 years, others have entered 45 competition in a couple of years",0,None,3,Wed Sep 09 2015 16:18:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16389,None,None
/marcvanderpeet12,Data science bootcamps,"Dear guys, Im curreny working at Deloitte and about to change jobs in december. I have some time in between (around 6 weeks) in which I would like to improve my datascience skills. Currently im able to program in R (quite profound) and have a good statisticial background. Im looking for a bootcamp kind a like initiative that can help me become a better data scientist. Preferably with machine Learning related topics. Any suggestions for a place that offers something that would suit my interest in the period end of oktober - december. Also an online course would be an option (but im looking for something more profound than coursera…). Kind regards, Marc",2,None,8,Wed Sep 09 2015 17:27:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16390,None,None
/ddupuis,External Data,"Hi, I'm really new at Kaggle and this competition. I was wondering if I was authorized to use external data to develop my models? I read this: ""EXTERNAL DATA Unless otherwise expressly stated on the Competition Website, Participants must not use data other than the Data to develop and test their models and Submissions. Competition Sponsor reserves the right in its sole discretion to disqualify any Participant who Competition Sponsor discovers has undertaken or attempted to undertake the use of data other than the Data, or who uses the Data other than as permitted according to the Competition Website and in these Competition Rules, in the course of the Competition."" But just to make sure. Using external data for this competition was never expressly stated anywhere right? Thanks,",0,None,3,Wed Sep 09 2015 17:42:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16391,/competitions/sf-crime,900th
/tagarin,Springleaf 2-dimensional PCA,"I’ve created PCA based on GLRM with rank of matrix approximation =2 (for two dimensions), then normalized both pca columns to 0..100 range to create this visualization. How would you interpret this? :-) I think it could help to ""feel"" the data, but don't know yet how :-) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/91943/2920/Springleaf 2-dimensional PCA.png",0,None,3,Wed Sep 09 2015 18:54:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16392,/competitions/springleaf-marketing-response,1739th
/inversion,Exploring Submission Timing,Why does the peak submission time happen after midnight?,1,bronze,7,Wed Sep 09 2015 20:32:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16395,None,None
/shuhei,Question about Multidimensional scaling,"Hi I'm working as data scientist and I'm facing with a problem. I need your help. Now, on the web service, I'm making the simple logic to find the similar users of specific users. For that, I chose the Multidimensional scaling. Users are in rows and the their choices are in columns. This is the original form and I used ""dist"" function to make distance matrix.(to say precisely I used Dist function of amap) Any way, by using this distance matrix I tried to find the similar users of each users, seeing the distance of each. On each row, I sorted the columns and picked up the users corresponding with that distance, meaning that as the distance is shorter, the user is defined as closer to that specific user and regarded as similar user. But there is one strange( honestly I don't know it is strange or not) point. For some users, the similar user members are almost same. This is not for all users but for some users, top ten similar user members are almost same or just the order is sometimes different. Just in case, I checked their distances but that is different for each( I thought at first this happened coz all of their distances are just 0, leading to the fact that similar users are same.) This time, the number of the columns is so huge(more than7000). It is very difficult for me to imagine how their distances becomes and make their positions( I know how to caluc the distances itself) I want to know this kind of thing is usual for multidimensional scaling or not.(I hope this is usual) Sorry for this bad explanation. But I really need your help.",0,None,2,Wed Sep 09 2015 20:41:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16397,None,None
/etienneackermann,"ERROR: Expected 'ID' column to be of type 'String', but was 'Int32'","I have tried several submissions now, and they all return the error ERROR: Expected 'ID' column to be of type 'String', but was 'Int32' Doing a quick search, it seems like this was a problem in past competitions as well. See for example [Link]:https://inclass.kaggle.com/c/movie-recommendations/forums/t/6315/error-expected-id-column-to-be-of-type-string-but-was-int32/34904 I am NOT using scientific notation. There are no '+'s in my .csv file. I am generating the results using Python, and I am writing integers to file (for my IDs). In fact, the last few lines of the example PMbenchmarks.csv file generated using R are as follows: R-PMbenchmark.csv: ... 499997,1.9760348583878 499998,9.02688172043011 499999,1.1854103343465 5e+05,5.39495798319328 copy and this .csv file works (even though scientific notation was clearly used). In contrast, my .csv file looks like this: Python-PMbenchmark.csv: ... 499997,1.9760348583877996 499998,9.026881720430108 499999,1.1854103343465046 500000,5.394957983193278 copy and it DOES NOT WORK!! The results are clearly correct (my Python results have slightly higher precision, but they agree with the sample submission), and the first few lines of both files agree as well: R-PMbenchmark.csv: ID,Prediction 1,5.70833333333333 2,4.18390804597701 3,8.62915129151292 4,2.66094420600858 ... copy Python-PMbenchmark.csv: ID,Prediction 1,5.708333333333333 2,4.183908045977011 3,8.629151291512915 4,2.6609442060085837 ... copy Any idea how I can fix this? Any others with similar problems? Thanks!",0,None,3,Wed Sep 09 2015 20:45:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16398,/competitions/rice-stat-640-444,9th
/rinalin,can we use feature_importances_  in RandomForestClassifer as a way to decide dimension reduction?,,0,None,2,Wed Sep 09 2015 21:50:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16399,/competitions/springleaf-marketing-response,1883rd
/asimkievich,whoever knows the answer might not reply but...,"are there weeks (for local validation purposes) that generalize better than others? In case the answer is yes, I might have posed the question too late, but unfortunately my week 52 local validation score too often improves while the lb score does not. Thanks!",0,None,18,Thu Sep 10 2015 00:07:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16403,/competitions/coupon-purchase-prediction,103rd
/cwpotwora,Video of all Ships (Functional),"This requires FFmpeg to be installed to run, so i haven't found a way to run it on Kaggle yet. If anyone has a solution for this I would love to hear it. Here is the video it output: [Link]:https://youtu.be/MvxX4JVjJTg",1,None,2,Thu Sep 10 2015 02:47:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16404,None,None
/qasimgilani,p300 speller,from where i can download datasets for BCI challenge and P300 speller,0,None,1,Thu Sep 10 2015 08:48:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16406,/competitions/inria-bci-challenge,None
/amitsinha1,to admins: any updates on NIPS workshop? ,"Hello, I was just wondering about the NIPS workshop mentioned in the ""prizes"" section of the challenge's description. I know it all depends on whether the workshop itself is approved at NIPS, but if you knew when that date is and subsequently when the deadline for workshop papers relating to this challenge is, I'd appreciate it. Best Regards",1,bronze,2,Thu Sep 10 2015 15:07:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16408,/competitions/flavours-of-physics,657th
/anirudhkala,Downloading Data,Hi I am trying to download the data on a EC2 machine . I tried the link : [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/6604/downloading-data-via-command-line but it is not helping . Anyone who has a clue ???,0,None,6,Thu Sep 10 2015 15:20:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16409,/competitions/dato-native,None
/cbkhan,Thank You,"I just wanted to take a minute this afternoon to thank everyone who is working on this project and let you know how tremendously valuable your role is in helping us to create this algorithm! To quote Chris Clark, one of the top marine biologists of our times, who had this to say about this Kaggle competition: "" this is all part of a changing, expanding, exciting paradigm shift – how, what and why we collectively engage a broader audience in science-based discovery of the ocean’s many mysteries and life’s wonders!!""",8,silver,1,Thu Sep 10 2015 19:01:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16411,/competitions/noaa-right-whale-recognition,None
/etienneackermann,gender.csv not described correctly,"In the README file, it states -gender.csv (A 10000 x 2 matrix of user IDs and their gender - M or F.) However, the gender.csv file does not contain g∈{M,F}, but instead g∈{1,2,3}. Please update either the README file, or the gender.csv file so that they are consistent. If the correct labels are in fact g∈{1,2,3}, how should we interpret these labels? Which one is male, which one is female, and which one is ""prefer not to say/other""?",0,None,1,Thu Sep 10 2015 19:26:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16412,/competitions/rice-stat-640-444,9th
/titli2,Information gain and data handling,"Recently I read about splitting of data points for classifiers like decision tree. Now I want to apply the concepts to this data but since I am a starter, I am pretty clueless about where to start. I seek help from the forum to provide suggestion on the kind of tools and libraries available, writing scripts etc to find out information gain for each attribute and find splitting points for continuous attributes.",0,None,5,Thu Sep 10 2015 20:12:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16413,/competitions/springleaf-marketing-response,None
/chrisfs,Springleleaf: Regularize your dummy variables!,"After this competition is over, someone needs to sit down with Springleaf and talk to them about using regular dummy variables as opposed to 999,9999, -999, 9999999, 999999998, etc.",4,bronze,20,Thu Sep 10 2015 20:30:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16414,/competitions/springleaf-marketing-response,None
/halfwit,Clarification of Rules,"I am new to kaggle so I apologize if this is explained somewhere. If so, please point me in that direction. There are a couple of rules that seem ill-defined: 1) ""Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records."" 2) ""Unless otherwise expressly stated on the Competition Website, Participants must not use data other than the Data to develop and test their models and Submissions. Competition Sponsor reserves the right, in its sole discretion, to disqualify any Participant who Competition Sponsor discovers has undertaken or attempted to undertake the use of data other than the Data, or who uses the Data other than as permitted according to the Competition Website and in these Competition Rules, in the course of the Competition."" [Link]:https://www.kaggle.com/c/springleaf-marketing-response/rules Precisely what information is allowed to be used? For example: On the leaderboard page it reads: ""This leaderboard is calculated on approximately 30% of the test data."" If I train my algorithm using 30% of the training data (then pre-test on the other 70%) have I hand-labeled something using external data? In that scenario, I did hardcode the 30%, a number that could be considered data from outside the dataset. That is just an example, but I am wondering where the line is drawn regarding these rules. It seems that, if desired, they can be used to arbitrarily disqualify someone, or even everyone.",1,None,19,Fri Sep 11 2015 03:22:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16417,/competitions/springleaf-marketing-response,288th
/llwatchout,Question,"If I wanna use exponential smoothing approach, how can I get previous forecast sale?",0,None,6,Fri Sep 11 2015 04:03:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16418,/competitions/ud-mba-forecasting-competition,13th
/benhamner,Welcome,"[Link]:https://en.wikipedia.org/wiki/United_States_diplomatic_cables_leak provided a fascinating window into the organization and how it navigated the US's relations in a chaotic and uncertain world. For the large part, it showed the State Department to be a well-run organization staffed by talented and insightful individuals. Recently, Hillary Clinton has been releasing redacted versions of emails she sent and received during her tenure as Secretary of State in response to a FOIA request. The raw PDFs are available on the [Link]:https://foia.state.gov/Search/Results.aspx?collection=Clinton_Email. Since raw PDF's are a data scientist's nightmare, I've [Link]:github.com/benhamner/hillary-clinton-emails, and released the data as both CSV tables and a SQLite database. You can [Link]:https://www.kaggle.com/c/hillary-clinton-emails/data and share your analytics on [Link]:https://www.kaggle.com/c/hillary-clinton-emails/data. I'm curious to see what you discover in this data!",2,bronze,4,Fri Sep 11 2015 04:09:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16419,None,None
/qmaruf,How to analyze large data set?,"Hi, I generally use [Link]:https://code.google.com/p/google-refine/ to analyze data set (check missing data, draw histogram based on various condition), but google-refine is unable to process the 921 MB training data provided by Springleaf. Is there any other tool like google-refine to visualize & analyze this data? Thanks",2,None,1,Fri Sep 11 2015 07:40:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16420,/competitions/springleaf-marketing-response,1316th
/karadgipooja,Kaggle Scripts,"Hi, I'm pretty new to Kaggle scripts and I just noticed that some of the challenges have a script tab enabled whereas this doesn't. Why is that so? How do I use Scripts for this challenge?",0,None,13,Fri Sep 11 2015 08:04:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16421,/competitions/whats-cooking,None
/ashishdutt,How to do feature selection on categorical variable 'ingredients' ?,Being a novice at approaching Kaggle competitions I followed the following approach: Step 1: Reading the JSON file to a key value pair dictionary format - Attached readData.py file achieves this step Step 2: Feature extraction from the ingredients Step 3: Analyse and Predict So I am now wondering how to accomplish Step 2? Any idea's or suggestions are welcome. Thank you [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92073/2922/readData.py,0,None,3,Fri Sep 11 2015 08:33:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16422,/competitions/whats-cooking,None
/terranx,Is AUC score invariant under power transformation?,When I submitted one of my submission by taking power of each predicted value for power of 1.05 and 1.2 pred(x) = pred(x^1.05) and pred(x) = pred(x^1.2) I've got exactly the same score. Is AUC score for Springleaf predictions are invariant under power transformations? also translationally invariant :) AUC score is exactly same for pred(x) and pred(x-min(x)),0,None,2,Fri Sep 11 2015 09:10:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16423,/competitions/springleaf-marketing-response,382nd
/benhamner,Top 100 Users with Most Team Memberships,Thanks for correcting this Mark! You beat me to it,0,None,2,Fri Sep 11 2015 10:10:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16425,None,None
/dyakonov,Ветка для отчётов магистров 517 группы ВМК,"Здесь магистрам 517 группы надо опубликовать свои отчёты: pdf-презентации, в которых описаны проведённые ими эксперименты: Результаты анализа данных, найденные закономерности. Реализованные алгоритмы. Выбор параметров алгоритмов (возможно, с иллюстрациями - как качество зависит от параметров). Методика решения задачи (выбор контроля и т.п.). Выводы. Крайний срок: 23 сентября 2015 - 23:59. На паре 24 сентября надо быть готовым сделать доклад по презентации. Все вопросы - в общем форуме!",0,None,12,Fri Sep 11 2015 11:07:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16428,/competitions/msuvisits,None
/iamknagesh,Where is the test set dependent variable?(even after the competition is completed),"Hi, I know that releasing the output of the test set before the completion of a competition is not feasible :P. But, why is it that kaggle doesn't publish the Dependent variable in the test data even when the competition is completed?",0,None,4,Fri Sep 11 2015 13:31:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16430,None,None
/kappa42,Simple python script with 0.71410 on leaderboard,[Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92129/2925/cook.py,1,bronze,7,Fri Sep 11 2015 15:14:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16431,/competitions/whats-cooking,157th
/andy91,Convert Error,"I'm new to julia and wanted to try out this tutorial. But I can't convert an image in RGB color space to Gray as it is mentioned in the tutorial. When I use the code in the tutorial: temp = mean(temp.data, 1) I get an error message: ""convert has no method matching convert(::Type{Float64}, ::RGB4{Float32})"". I know that this problem is already discussed here in the forum, but when I tried the convert-command: convert(Image{Gray}, img) I get an error message: ""gray not defined"". And when I try rgb2gray(img) I get ""rgb2gray not defined"". So how can I convert an image in RGB to Gray?",0,None,2,Fri Sep 11 2015 16:01:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16432,/competitions/street-view-getting-started-with-julia,None
/tyi2000,Number of participants predictor,"I've always wondered what features of a competition attracts participants. Here is a simple model that predicts the final number of participating teams. According to this model, the current active competitions will end up with 977,824, 773, 846, 445 teams each ;) The most influential factor missing in this model is the size of the provided data, I think. Ben, do you have a plan to add data size to the competitions table? :)",3,bronze,3,Fri Sep 11 2015 16:57:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16433,None,None
/golippincott,Pivot Tables in Excel,"I have a Mac and I'm trying to group my row labels by month. However, despite setting my range from 1/1/12 to 6/1/13, it only displays the 12 months of 2012. Any tips for getting the whole date range to display by month? Thanks!",0,None,2,Fri Sep 11 2015 17:08:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16434,/competitions/ud-mba-forecasting-competition,33rd
/messels,Purpose of Data Vomit,"May be my newness to data science but I was wondering if it's normal to get large data vomits like this (from clients, from internal projects, etc). Is it also normal to receive no schema on the data we get? It seems sort of counter-productive to provide data like this. I'm not trying to complain. I'm just trying to understand if it's normal to get data that is…well…this ""messy."" (Repeated fields, etc) My suspicion at this juncture is that I'm simply going to rip out any field that doesn't look like a real value and run some experiments on ""clean"" data. I'm not even convinced that converting states and cities to enumerated dictionaries would provide much value… That said, anyone else get the impression some of fields are estimated mortgage amounts? or maybe median home values for an area?",5,bronze,19,Fri Sep 11 2015 17:11:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16435,/competitions/springleaf-marketing-response,961st
/annavictoria,Common Collaborators,rcarson & Xueer [Link]:http://blog.kaggle.com/2015/08/19/chinese-valentines-day-machine-learners-in-love-xueer-jiwei/,2,bronze,3,Fri Sep 11 2015 20:16:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16440,None,None
/golippincott,Submission File,"Given the way the submission file is formatted, is there an easier way to fill it out without having to manually enter each amount?",0,None,3,Fri Sep 11 2015 22:33:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16441,/competitions/ud-mba-forecasting-competition,33rd
/del=083826a33fd9634f,Verification Code not received to make submission,"I clicked make a submission after logging in. I got a screen that asks for a mobile number to get a verification code. The next page asks for the code to confirm. I have tried for the past two hours and have not received the verification code. I am receiving text messages from others. I have contacted Kaggle, not heard back.",0,None,2,Fri Sep 11 2015 23:55:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16443,/competitions/ud-mba-forecasting-competition,None
/benhamner,Hillary Clinton Email Dataset,"[Link]:https://en.wikipedia.org/wiki/United_States_diplomatic_cables_leak provided a fascinating window into the organization and how it navigated the US's relations in a chaotic and uncertain world. For the large part, it showed the State Department to be a well-run organization staffed by talented and insightful individuals. Recently, Hillary Clinton has been releasing redacted versions of emails she sent and received during her tenure as Secretary of State in response to a FOIA request. The raw PDFs are available on the [Link]:https://foia.state.gov/Search/Results.aspx?collection=Clinton_Email. Since raw PDF's are a data scientist's nightmare, I've [Link]:github.com/benhamner/hillary-clinton-emails, and released the data as both CSV tables and a SQLite database. You can [Link]:https://www.kaggle.com/c/hillary-clinton-emails/data and share your analytics on [Link]:https://www.kaggle.com/c/hillary-clinton-emails/data. I'm curious to see what you discover in this data!",6,bronze,5,Sat Sep 12 2015 00:30:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16444,None,None
/markkle,Why do we get predefined test sets?,I have just recently joined and exploring the different competitions. One thing that I am confused about is why the data is usually partitioned into training and testing data for us. What prevents us from combining these two sets into one big data set and then validating in whatever way we see fit?,0,None,1,Sat Sep 12 2015 03:25:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16445,None,None
/randombishop,XGBoost computation time,"Can anyone please share some clues about the time taken to train a XGBoost model, the LB score obtained, the CPUs and RAM used ? It would be great if we could have such benchmarks to optimize our searches. (In other words, I want to know if i need more feature engineering, more training time, or more tuning to achieve better scores ?) On my side, this is the best I could achieve : Training time (for a single run, multiply this by K for cross-validation) = 30 minutes LB = 0.782 CPU = 8 cores intel Xeon [Link]:https://www.kaggle.com/2.8Ghz RAM = 8 Go Thanks and have a good kaggling !",4,None,14,Sat Sep 12 2015 10:53:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16446,/competitions/springleaf-marketing-response,15th
/smcinerney,Is VAR_0490 gender?,"If there is a gender column, I figured it'd be a two-level categorical with a proportion ~ 0.5 (unless it was deliberately obfuscated, recoded with multiple levels or discretized) Could VAR_0490 be gender? > prop.table(table(train[,'VAR_0490'], useNA='ifany')) 0 1 <NA> 0.638190 0.355489 0.006321 copy Moreover, when we look at the two occupation columns and gender, specifically values where they are not NA/-1, and look at their distributions for occupations known to skew towards one gender, it seems like the encoding of VAR_0490 could be 0:male, 1:female …? require(dplyr) tmp <- filter(train, VAR_0404!=-1 & !is.na(VAR_0490) & VAR_0493!=-1) %>% select(VAR_0404, VAR_0490, VAR_0493) table( filter(tmp, grepl('GUARD', VAR_0493))$VAR_0490 ) 0 1 39 4 table( filter(tmp, grepl('CIVIL ENGINEER', VAR_0493))$VAR_0490 ) 0 3 table( filter(tmp, grepl('ARMED', VAR_0493))$VAR_0490 ) 0 4 table( filter(tmp, grepl('BEAUTY', VAR_0493))$VAR_0490 ) 1 1 copy But then we find these seeming counterexamples… table( filter(tmp, grepl('NAIL TECHN', VAR_0493))$VAR_0490 ) 0 1 6 3 table( filter(tmp, grepl('PUMP', VAR_0493))$VAR_0490 ) 1 1 copy But looking at it closer, VAR_0493 seems to be the company's general activity, and VAR_0404 seems to be that person's particular role in that company - many seem to be corporate officers, scraped from some listing source. And it is not uncommon for small-business owners to make their spouses/relatives corporate officers: filter(tmp, grepl('NAIL TECH', VAR_0493)) VAR_0404 VAR_0490 VAR_0493 1 S/T 0 NAIL TECHNICIANS 2 TREASURER 0 NAIL TECHNICIANS 3 REGISTRANT 0 NAIL TECHNOLOGY 4 CAREER SPECIALIST 1 NAIL TECHNICIANS 5 CONTA 0 NAIL TECHNICIANS 6 CAREER SPECIALIST 1 NAIL TECHNICIANS 7 CONTACT 0 NAIL TECHNOLOGY 8 SECRETARY 0 NAIL TECHNOLOGY 9 OWNER 1 NAIL TECHNICIANS copy Anyway, it seems plausible but inconclusive that VAR_0490 == gender. Comments?",4,bronze,3,Sat Sep 12 2015 13:30:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16447,/competitions/springleaf-marketing-response,2155th
/skylibrary,Can LB top 3 confirm it is leakage or start of art feature engineering,"The near perfect result is pretty surprising to me, I am just wondering if top three players are willing to tell it is label/tag leakage or not ? I think there is no harm confirming this, after all, leakage is nothing related to violating competition rules. The dataset is quite interesting, but I don't want to spend time on a competition with leakage again, the west nile virus one is a nightmare for me, and the tube price too. Edit: sorry, just find a typo in the title, I guess there is no way to fix that lol Update: I didn't expect people to get so angry (a few at me, I noticed I got some downvote) and disappointed about the issue. I have mixed feelings for this. But I don't remember I got so upset by not knowing the leakage of tube price ID after someone point it out after that competition was over, that one has more than 1000 players, yet only a few complaints, so I guess fewer upset player. So now I understand why people don't want to come out and confirm anything, because they want people to be happy. Sorry if I made people disappointed or upset by posting this topic.",5,bronze,73,Sat Sep 12 2015 16:22:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16449,/competitions/dato-native,13th
/asimkievich,anyone approaching this as a classification problem,"hi there, I hope I do not annoy with my (direct and indirect) request for hints. but is anyone treating this as a classification problem?",2,bronze,9,Sat Sep 12 2015 17:17:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16450,/competitions/coupon-purchase-prediction,103rd
/sudalairajkumar,Profiling Kagglers,"Please change the variable present in line 23 : ""ENTER_THE_RANK_HERE"" (Rank of the Kaggler whom you would like to profile) and see the performance of the Kaggler ! This is a work in progress. Please feel free to add your valuable suggestions.",5,bronze,1,Sun Sep 13 2015 04:56:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16455,None,None
/anarayan,Seasonal Index Calculation Question,"I want to calculate seasonal index for each product in each store, I got the monthly sales for store 1-Item1, Store1-item2, store2-item1, store2-item2 (rows) for all 18 months (columns) tabulated. Then I calculated the average for each row. Is the seasonal index for store 1, item 1 for Jan 2012 just the monthly sales for Jan 2012 divided by the average?",0,None,4,Sun Sep 13 2015 08:34:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16457,/competitions/ud-mba-forecasting-competition,23rd
/igorkleiner,Delete almost zeros features in R,"Hi everyone, R function nearZeroVar() from caret package. Execute analysis of each features and return for each variable: does it ""zero variable"" or ""near zero variable"" nfs <- nearZeroVar(data,saveMetrics = TRUE) You can use nfs to savtly delеte all zero variables from data and some of near zero variables to",3,bronze,3,Sun Sep 13 2015 09:53:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16458,/competitions/springleaf-marketing-response,1360th
/agendreau,XGBoost Tuning with Caret,"Hi, I'm looking to do some tuning of XGBoost using the caret package in R. My understanding from reading is that caret can only handle the nrounds, eta, and max_depth parameters from XGBoost. Is that correct to anyone else's understanding? And so as a result, any tuning of other parameters would need to be done by hand? Thanks, AG",1,bronze,2,Sun Sep 13 2015 14:55:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16460,/competitions/springleaf-marketing-response,281st
/lifepreserver,Distribution of variable?,Do you think what is the most distribution type in variable? My guess is exponential or chi-squared.,-3,None,4,Sun Sep 13 2015 16:42:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16461,/competitions/springleaf-marketing-response,469th
/iamsolesschong,Visualizing relationships between frequent correspondents,"I've visualized the relationships between frequent correspondents using naive SNA skills. First construct the graph with nodes stand for persons and edges for emails. Each node is assigned a physical location for visualization called layout. Here I used a force-directed method to generate layout. The more frequent correspondence, the closer that two persons locate in the graph. The code is forked from [Link]:https://www.kaggle.com/Ben Hamner's. Not posted as a kaggle script since kaggle's doker doesn't include igraph till the time. More work on performance improvement could be done since this force-directed layout is computation-intensive. Layout algorithm could be changed to multi-dimension scaling for a more meaningful layout. import sqlite3 import time import pandas as pd import numpy as np import matplotlib.pyplot as plt from collections import Counter import igraph as ig sql_conn = sqlite3.connect('data/output/database.sqlite') # sql_conn = sqlite3.connect('../input/database.sqlite') data = sql_conn.execute('SELECT MetadataTo, MetadataFrom FROM Emails WHERE MetadataTo LIKE ""H""') realNames = [""H"", ""Blumenthal, Sidney"",""Reines, Philippe I"",""Mills, Cheryl D"",""Abedin, Huma"", ""Mills, Cheryl D"",""Mills, Cheryl D"",""Sullivan, Jacob J"",""Sullivan, Jacob J"", ""Mills, Cheryl D"",""Sullivan, Jacob J"",""Jiloty, Lauren C"",""Verveer, Melanne S"", ""Verveer, Melanne S"",""Valmoro, Lona J"",""Reines, Philippe I"",""Hanley, Monica R"", ""Slaughter, Anne-Marie"",""Verma, Richard R"",""Russo, Robert V"",""Balderston, Kris M"", ""Muscatine, Lissa"",""Reines, Philippe I"",""Crowley, Philip J"",""Talbott, Strobe"", ""McHale, Judith A"",""Campbell, Kurt M"",""Verveer, Melanne S"",""Steinberg, James B"", ""Lew, Jacob J""] realNames = list(set(realNames)) data = list(data) g = ig.Graph() g.add_vertices(realNames) for i in range(len(data)): try: g.add_edges([data[i]]) except: pass visual_style = {} visual_style['vertex_label'] = realNames visual_style['bbox'] = (1000, 1000) visual_style['edge_color'] = 'gray' visual_style['vertex_size'] = 10 layout = g.layout_fruchterman_reingold() ig.plot(g, 'tmp.png', layout=layout, **visual_style) copy [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/92338/2927/tmp.png?sv=2012-02-12&se=2015-09-16T16%3A25%3A33Z&sr=b&sp=r&sig=M3x6IOVJhwFXyYdAuVdrRuaHncp3InVjSl3MWoMT%2Fos%3D [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92338/2927/tmp.png",5,bronze,1,Sun Sep 13 2015 18:25:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16462,None,None
/markkle,Confused about multiple submissions,"Hello again, I have a question about the multiple submission policy. I have noticed that some competitions allow multiple submissions from the same account. Isn't this somewhat ""dangerous""? I'm not so much worried about malicious intent here, I'm only using Kaggle to learn and practice. But if I can make a submission and see how it performs, then tweak my model, resubmit, and see how that performs, etc… Won't I essentially learn the invisible test set in this manner? Am I missing something? What exactly is the policy here?",1,None,3,Sun Sep 13 2015 23:00:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16463,None,None
/benhamner,Lets Plot the digits,Showing only the first two eigenvectors in 2D would make this plot far clearer,1,bronze,1,Mon Sep 14 2015 00:43:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16465,None,None
/golippincott,Alpha Values,"Are we likely to use different alpha values for different store/product combinations depending on the lowest MAD for each, or do we need to stick with a single alpha value for all? Thanks!",0,None,1,Mon Sep 14 2015 01:56:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16467,/competitions/ud-mba-forecasting-competition,33rd
/ashishdutt,How to begin with analysis?,"In a previous topic, I was able to figure out, 'one hot encoding'. Now, I am wondering what to do next…? I mean, how do i begin with the analysis in python or R…? Any pointers or suggestions are welcome. Cheers Ashish",0,None,4,Mon Sep 14 2015 02:41:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16468,/competitions/whats-cooking,None
/vpradeep,Error while making a submission,"Hi All, I am getting a weird error that I am not able to make any sense as my submission.csv file has same lines as test.csv file (145233). Is there something obvious that I am missing. Thanks ERROR: Unable to find 72599 required key values in the 'ID' column ERROR: Unable to find the required key value '145234' in the 'ID' column ERROR: Unable to find the required key value '145235' in the 'ID' column ERROR: Unable to find the required key value '145236' in the 'ID' column ERROR: Unable to find the required key value '145237' in the 'ID' column ERROR: Unable to find the required key value '145240' in the 'ID' column ERROR: Unable to find the required key value '145242' in the 'ID' column ERROR: Unable to find the required key value '145243' in the 'ID' column ERROR: Unable to find the required key value '145244' in the 'ID' column ERROR: Unable to find the required key value '145247' in the 'ID' column.",0,None,9,Mon Sep 14 2015 07:27:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16469,/competitions/springleaf-marketing-response,1870th
/jeeban,Best Score With Single Model,"Hi All, Could you please post your best score of single model ! Regards, Jeeban",0,None,9,Mon Sep 14 2015 08:09:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16471,/competitions/flavours-of-physics,529th
/nightcrawler,Looking for teammates rank about 200th,"Hi guys, I have fought several competitions alone. I found team work has great power, so I want to fight with a kaggle master. What I can offer are, I have developed a framework for model selection and ensemble selection, and achieve LB score 0.794, also I have some powerful machine for experiments. I hope that you can help me on feature engineering and ensemble selection trick. Thanks very much. Loot forward to kaggle master.",0,None,4,Mon Sep 14 2015 08:39:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16473,/competitions/springleaf-marketing-response,290th
/wildwizard,Are Neural Nets the only really valid approach?,Hello. Do NN outperform the other methods so vastly that they are the staple tool for image analysis or are there any other methods usable for this?,3,bronze,4,Mon Sep 14 2015 10:06:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16474,/competitions/facial-keypoints-detection,None
/usixuz,Someone interested to team up?,"Hi, I am a Master student of CS in Switzerland. I am looking for someone with experience of CNN to team up with. I can access to a server with 4 GPUs. I have been playing with CNN using Lasagne and Keras for a while. Currently, I cropped the image as 256x256 and 512 x512, starting to do image augmentation. Please let me know if you are interested Bests, Email: [Link]:mailto:xuz@usi.ch",0,None,8,Mon Sep 14 2015 13:10:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16476,/competitions/noaa-right-whale-recognition,156th
/thomasseleck,AUC stuck at 0.63,"Hello, After some feature engineering (removing duplicates features, removing features with lots of NAs, …) and tuning XGBoost, my AUC score is stuck to 0.63, whatever features I choose or parameters I set in XGBoost. Can you give me some advices to help me to fix my problem? Thanks in advance.",1,bronze,15,Mon Sep 14 2015 15:46:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16477,/competitions/springleaf-marketing-response,325th
/drewyh,PrimeTest - Brief Version,This code isn't competition winning but it is a concise method for the Sieve of Eratosthenes. Hopefully this proves interesting to someone wanting to understand how a sieve might be coded.,1,bronze,1,Mon Sep 14 2015 16:20:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16478,None,None
/skylibrary,How many sponsored htmls left for us to classify?,"Can we estimate how many sponsored htmls left for us to classify from the score 0.99805, I have the rough idea of how ROC is calculated, but not sure if we can infer how many sponsored htmls are left from it ? If too few left, then it is more or less like gamble, I am wondering if the admin have more test data that can be released for us to classify ?",0,None,2,Mon Sep 14 2015 17:15:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16480,/competitions/dato-native,13th
/carloshuertas,What if competition restarts?,"I want to ask in advance, Kaggle admins, what will happen with the pre-leak people scores if the competition restarts? I mean, there were (including me) people who worked a full month for it, its not like a 1-day leak or something….",4,bronze,15,Mon Sep 14 2015 18:40:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16482,/competitions/dato-native,13th
/leblancfg,Additional Recipe info for better prediction,"Most recipes call for measures as well as ingredients, e.g. 1 cup celery. I believe it'll be hard to crack the 90% mark without an idea of the ingredient ratios in given recipes. I don't know if you guys at Yummly are taking a look at this forum, but it would be great to have access to that extra column of data… even if only after the official contest is over. Teams would need to come up with measure standardization tables on their own, e.g. 1 cup celery = 64g, but that's part of the fun. P.S. Is there a Yummly API, or a bigger dataset that's available?",0,None,5,Mon Sep 14 2015 19:12:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16483,/competitions/whats-cooking,None
/mikeskim,Can Scully or Kaggle confirm reboot or no reboot?,"Given the obvious leakage ( [Link]:https://www.kaggle.com/c/dato-native/forums/t/16449/can-lb-top-3-confirm-it-is-leakage-or-start-of-art-feature-engineering), some Kagglers would like to know if there will be a competition reboot or if the competition will continue as is with the data leakage. Can the admins confirm such a decision?",2,bronze,3,Mon Sep 14 2015 19:31:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16484,/competitions/dato-native,23rd
/wendykan,"Important: Data Leakage, and Reset of Competition","Most of you are aware of this already: the data provided in this dataset had a hidden ""feature"" which is in date stamp of the files (a.k.a. [Link]:https://www.kaggle.com/wiki/Leakage). Fortunately, we do have more new data to reset this competition. We will swap the test data with a new version, and invalidate all previous submissions on the leaderboard. We will make an announcement both on the forum and in email, for you to re-download the new dataset. We know that some of you will be frustrated with this information and apologize for the inconvenience. By resetting the competition, we hope to keep the competition fair and challenging. Thank you for your understanding and good work so far!",11,silver,12,Mon Sep 14 2015 19:54:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16485,/competitions/dato-native,None
/yanwang,Naive Bbayes model with 10 fold cross validation,"To solve the problem I am building naive bayes model with 10 fold cross validation in R, using hour, weekday and location for predictors, and the code runs forever….. My question is is the 10 fold cv taking too much time? I am new to Kaggle and this is my first attempt, don't know how to improve it.",0,None,1,Mon Sep 14 2015 21:05:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16488,/competitions/sf-crime,518th
/vettipaiyan,What next? How to improve more,"May be it is too much of an ask at competitive level, but still I am seeking the experts advise to improve my model (unabashedly). Thus far this is what I have tried doing 1) Train RF using all features (0.74 ish) 2) Train XGB using all featuers (0.77 ish) 3) Remove unimportant variables ( [Link]:https://www.kaggle.com/raddar/springleaf-marketing-response/removing-irrelevant-vars) (0.78 ish) 4) Regularize dummy variables ( [Link]:https://www.kaggle.com/c/springleaf-marketing-response/forums/t/16414/springleleaf-regularize-your-dummy-variables) and train XGB (0.79 ish) 5) Remove features with zero variance and NZV and train XGB (0.79ish) I am looking for suggestions to improve my model. If it is too much of an ask or if it is going to jeopardize the leader scores, please ignore. Otherwise, this question will help a lot of people (amateurs) like me lingering around 0.79 ish and don't know what else to do next. Thanks in advance and forgive my ignorance if it is too obvious.",9,silver,59,Mon Sep 14 2015 21:16:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16490,/competitions/springleaf-marketing-response,257th
/mikeskim,talk to your own hillary (sort of)?,"I made a fairly simple markov chain out of Hillary's emails. It's still kind of random and nonsensical, but then again perhaps it is not so different from the content of these emails. [Link]:https://www.kaggle.com/mikeskim/hillary-clinton-emails/hillchain/log",4,bronze,1,Mon Sep 14 2015 21:52:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16491,None,None
/wendykan,Competition is now reset,"As of 11:23PM UTC, the new dataset is uploaded, revised training list is uploaded, and all submissions are rescored. Please refer to the [Link]:https://www.kaggle.com/c/dato-native/data for all the changes that have been made to the dataset. Note that: If you downloaded the data prior to 9/14/2015, please re-download the new files: 5.zip, train_v2.csv, and sampleSubmission_v2.csv. If you made a submission prior to 9/14/2015, your entry is invalidated due to the reset. Please re-run your model and submit again before the first submission deadline. Deadline has been extended for one week. See the [Link]:https://www.kaggle.com/c/dato-native/details/timeline.",5,silver,12,Tue Sep 15 2015 01:28:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16493,/competitions/dato-native,None
/xugang137,Possibly the minimum set of missing values in the Springleaf data,"Now got all raw data processed completely. As many people in this competition talked about missing values, I would like to share the missing values in my program, which I considered (likely) being the minimum set of missing values. In the training data set: any ""NA"" entries in the number columns any """" entries in the character columns any ""[]"" entries in the character columns In the testing data set, the above set plus a few entries discovered as follows: WARNING: missing label ""HRE-Social Security Number-9871"" in training data WARNING: missing label ""HRE-Social Security Number-18087"" in training data WARNING: missing label ""HRE-Social Security Number-10887"" in training data WARNING: missing label ""HRE-Social Security Number-13457"" in training data WARNING: missing label ""HRE-Social Security Number-1231"" in training data WARNING: missing label ""HRE-Social Security Number-1231"" in training data WARNING: missing label ""FSI-0003-1"" in training data WARNING: missing label ""HRE-Home Phone-4717"" in training data WARNING: missing label ""HRE-Social Security Number-1453"" in training data WARNING: missing label ""HRE-Social Security Number-15467"" in training data WARNING: missing label ""HRE-Social Security Number-1011"" in training data WARNING: missing label ""HRE-Social Security Number-20083"" in training data WARNING: missing label ""HRE-Social Security Number-2801"" in training data WARNING: missing label ""HRE-Social Security Number-14395"" in training data Best, G.X.",1,bronze,1,Tue Sep 15 2015 01:48:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16494,/competitions/springleaf-marketing-response,1398th
/dhanushu,Can this dataset be used to predict customer loyalty without offers?,"Hi, Can this dataset be used to to predict customer loyalty without offers? If so then please give a few guidelines….. if not then where can i get a dataset to perform the above prediction? Thanks in advance. Dhanushu A P",0,None,2,Tue Sep 15 2015 09:56:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16498,/competitions/acquire-valued-shoppers-challenge,None
/dyakonov,Решения для ручной проверки,Поскольку у студентов ММП есть проблемы с авторизацией - сюда можно постить решения для ручной проверки. До ближайшей среды каждый может прислать не более 2х решений. Я сообщу результаты.,0,None,5,Tue Sep 15 2015 10:29:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16499,/competitions/msuvisits,None
/zhfthu,I got a very low score with Spark Naive Bayes.,"I calculated the TF-IDF vector first , and used navie bayes classifier to predict the test file.But the score is incredibly low. Any one can give a suggestion ? import org.apache.spark.rdd.RDD copy import org.apache.spark.mllib.feature.HashingTF import org.apache.spark.mllib.linalg.Vector val train_data = sc.textFile(""train.tsv"") val test_data = sc.textFile(""test.tsv"") val train_X: RDD[Seq[String]] = train_data.map(.split(""\t"")(0).split("","").toSeq) val train_Y = train_data.map(.split(""\t"")(1)) val test_X: RDD[Seq[String]] = test_data.map(.split(""\t"")(1).split("","").toSeq) val test_id = test_data.map(.split(""\t"")(0)) val hashingTF = new HashingTF() val tf: RDD[Vector] = hashingTF.transform(train_X) import org.apache.spark.mllib.feature.IDF tf.cache() val idf = new IDF().fit(tf) val tfidf:RDD[Vector] = idf.transform(tf) val labelDict = train_Y.distinct.zipWithIndex.map(x => (x._1,x._2.toDouble)).collect().toMap val labels = train_Y.map(y => labelDict(y)) import org.apache.spark.mllib.regression.LabeledPoint val training = labels.zip(tfidf).map(x => LabeledPoint(x._1,x._2)) import org.apache.spark.mllib.classification.NaiveBayes val model = NaiveBayes.train(training) val ttf: RDD[Vector] = hashingTF.transform(test_X) ttf.cache() val tidf = new IDF().fit(ttf) val ttfidf:RDD[Vector] = tidf.transform(ttf) val prediction = ttfidf.map(x => (model.predict(x))) val reverse_labelDict = labelDict.map(x => (x._2,x._1)) val ret = test_id.zip(prediction).map(x => (x._1,reverse_labelDict(x._2))) ret.saveAsTextFile(""submission.csv"")",0,None,1,Tue Sep 15 2015 12:23:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16500,/competitions/whats-cooking,1335th
/derrickzy,Stochastic Gradient Descent (0.77355),good modification!,0,None,6,Tue Sep 15 2015 14:29:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16502,None,None
/ohmnomdata,"Are NLP Tools/Corpora Considered ""External Data""?","I'm thinking about using some NLP (Natural Language Processing) packages in R, but some of them use corpora and other standard language data sets. Would this violate the rule of ""no external data""? Also, what exactly constitutes ""external data"" for this competition? Thanks!",0,None,2,Tue Sep 15 2015 16:19:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16503,/competitions/whats-cooking,None
/rinzewind,Which submission belongs to which competition?,"Hi, Unless I have missed something, I have not seen any column on the Submissions table that allows to relate them to the Competitions information. Is there anything I am missing? Is there some other, larger path to build those relations? Thanks a lot.",1,None,2,Tue Sep 15 2015 16:54:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16504,None,None
/inversion,To Which Contest does Submission Belong?,This works because TeamId is unique to a single contest.,1,bronze,2,Tue Sep 15 2015 17:42:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16506,None,None
/abhishekanalytics,Tweet Analysis,"Hi All, I am using setup_twitter_oauth(""APIkey"",""APIsecret"") but I am getting error like: [1] ""Using browser based authentication"" Use a local file to cache OAuth access credentials between R sessions? 1: Yes 2: No Selection: 2 Error in loadNamespace(name) : there is no package called ‘base64enc’ Please help me",0,None,2,Tue Sep 15 2015 18:04:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16507,None,None
/ampaho,Countries the most mentioned by Hillary,The countries that Hillary Clinton mentioned the most in all the emails she sent. Most countries are in the arab world or in the middle east. Is American foreign policy too focused on that part of the world?,1,bronze,2,Tue Sep 15 2015 20:06:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16508,None,None
/julesvanligtenberg,Who earned the most?,I think Id didn't earn 250k but only 30k. He won the milestone prize of 30k in FQ2. Jose Fonolosa won FQ2 (100k i think),1,bronze,1,Tue Sep 15 2015 21:52:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16509,None,None
/nswitzer,Who makes more? (ANOVA),Cool idea. Are those codes really for bodyweight? It's be interesting to factor out male/female. Males are much more likely to bike to work per some research I did.,0,None,1,Tue Sep 15 2015 22:50:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16510,None,None
/magonn,Вспомогательные функции,"Прикладываю 3 файла на Matlab: считывание данных, реализация метода максимального правдоподобия, запись ответов в нужной форме: data = read_data(infile) --- функция считывания данных, infile --- имя файла с данными ('train.csv'), на выходе cell-array, data{i, 1} содержит номера всех дней, в которые i-ый клиент пользовался этим абстрактным сервисом. answers = solution_ML(data) --- простейшее решение по методу максимального правдоподобия, data --- считанные данные (результат выполнения функции read_data(infile) ). write_data(outfile, answers) --- функция записи ответов в нужной форме, outfile --- имя выходного файла, answers --- искомый вектор номеров дней недели. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92709/2933/read_data.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92709/2935/solution_ML.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92709/2936/write_data.m",2,bronze,2,Tue Sep 15 2015 23:43:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16511,/competitions/msuvisits,34th
/wangzheng,Meanings of genders,"As we know, the users and profiles are not identically numbered, thus user 1 might not be profile 1. In the gender.csv, we have the genders of 10,000 people. Are these the genders of users or the genders of profiles?",0,None,3,Wed Sep 16 2015 01:26:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16514,/competitions/rice-stat-640-444,3rd
/qianchen,CANNOT MAKE SUBMISSION,I don't know why I fail to make submission everytime after I made first submission yesterday. The system keeps saying that result is null . [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92722/2942/PL1_03(P%[DB`FA23YAU8{W.png,0,None,4,Wed Sep 16 2015 01:55:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16516,/competitions/ud-mba-forecasting-competition,17th
/golippincott,My Approach to This Just Isn't Working,"My latest approach has been: Create a pivot table of historical average sales for Jan - Dec (per yesterday's hint); Calculate seasonal indexes for S1P1, S1P2, S2P1, S2P2; Calculate deseasonalized sales by dividing historical avg. sales by seasonal indexes; Calculate deseasonalized and seasonalized SES forecasts and forecast errors for each store/product combo with alpha values from 0.1 - 0.9, much like Drizzly Bear; Report seasonalized SES numbers for June based on alpha value with lowest MAD. I have a feeling I'm over-complicating everything but it's not clear to me yet. How can day of the week play in when historical avg. sales combine multiple days (i.e. 1/1/12 and 1/1/13 are Sunday and Tuesday)? With 3 remaining attempts before this is due tomorrow, any other hints--big or small--would be huge. How big of a role does Christmas and leap year play? Thanks!!!!",0,None,2,Wed Sep 16 2015 04:50:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16518,/competitions/ud-mba-forecasting-competition,33rd
/adamfly,Scoring leniency,Please note that I am likely to raise scores for this hw. Many solid forecasts are scoring in the thirteen and fourteen range. I can tell they are good because if their performance on the private leaderboard. Way to go!!,0,None,1,Wed Sep 16 2015 05:18:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16519,/competitions/ud-mba-forecasting-competition,2nd
/praveen766,Running  a single line in script,is it possible to run a single line in script rather than running the entire script > In python and R using Console we can run a single line of code rather than the entire code.,8,None,6,Wed Sep 16 2015 05:50:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16520,/competitions/introducing-kaggle-scripts,None
/redhotchilli,Use Data for School Data Mining Research Project (大学のデータマイニングの研究プロジェクトに出したデータを使う事について),Can I use the data for data mining? The data and results will be used for my data mining course research project at university postgraduate level. I will give proper acknowledgement. The results and report will only be shared with my professor for grading purposes. Thank you very much. すいませんが、お願いがあります。 大学教授の評価のために、大学のデータマイニングの研究プロジェクトだけデータを使いたいので、ご協力してお願いします。 研究プロジェクトの結果は外を出さないので、出したデータを使って宜しいでしょうか？ どぞよろしくお願いします。,2,bronze,5,Wed Sep 16 2015 06:35:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16521,/competitions/coupon-purchase-prediction,None
/ampaho,Map of Foreign Policy through HRC emails,"This map shows no surprise, we can see from the map what the State department under the leadership of Hillary Rodham Clinton (HRC) focused on. The map was obtained using the emails sent by HRC as the Secretary of State. Northern Africa (namely Libya and Egypt) and the Middle East got the usual lion share in US foreign policy, even under HRC. The countries in West Africa (Mali, Nigeria, Tchad, Niger) affected by terrorist groups such as Aqmi and Boko Haram got some extra attention from the US Always in West Africa, are mentioned other countries heavily affected by Ebola like Liberia and Sierra Leone. The old allies of the West championed by the UK are obviously part of the American Foreign Policy whether it's militarily or socially. Australia and New Zealand are the greatest allies of the US in the Oceania. Both countries have been the largest non-NATO military contributors of American Foreign Policy since 9/11.",10,bronze,8,Wed Sep 16 2015 07:09:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16523,None,None
/del=fdc004b406788871,Is there a bias due to coupon's display?,"Hello dears peers, I'm still a student and not graduated yet. Therefore I miss some knowledges. Therefore any advices are welcome. However i'm wondering if there is a bias in the data we have during this competition. We know which coupon each customer visited and if they bought it or not. Nevertheless we don't know which coupons were displayed to him when he arrived on the website. Example: When a customer arrives on the website, he only has hostel coupon. It's quite obvious that there is higher probability that he'll rather buy a coupon related to hostel than to a restaurant. The outcome would be way different if he had restaurant coupon displayed. My point: We only have information about a purchase linked to the customer, not to the website ""recommandation"". Therefore i guess that there it's difficult to produce a good work with any bias. Waiting for your point of view, and hoping that i won't look silly. Best Regards, Jacques Peeters",1,bronze,7,Wed Sep 16 2015 13:41:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16524,/competitions/coupon-purchase-prediction,None
/natethomp,Getting Model Information out of RF and XGBoost,"Hey Kaggle community, I have been working at a new company for around 4 months now as a statistical modeling analyst, and the existing data science manager and modeling analysts are very familiar with regression techniques, but not newer techniques such as Random Forest and XGBoost. I have built some models for them using these techniques which have shown good results, but they are concerned with the interpret-ability of the models for business use. They want to be able to explain what is happening within the models so that we can explain to our business units what the model is doing. I am familiar with Importance in Random Forest, and have messed a little bit with importance in XGBoost, and the model plotting in XGBoost, but I was wondering if any of you had ways of getting more information out of these models in order to better explain what is happening and how many a certain variable might be impacting the model. I know that these models are somewhat blackboxish as to exactly what is happening, but if I could extract as much information as possible from them then I can make a good case for us as a team to start transitioning to using these models more as a team. I appreciate any advice that anyone can give. Thanks, Nate",1,None,12,Wed Sep 16 2015 14:33:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16525,None,None
/nmayorov,"Метка ""нет визита""","Есть мысль, что для разумного предсказания метки 0, нужно знать, до какого времени записывались дни визитов (например: ""ещё 100 дней после дня 1099""). Такая информация может быть добавлена в условие соревнования?",0,None,3,Wed Sep 16 2015 19:40:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16527,/competitions/msuvisits,3rd
/alexeykarnachev,"Gradient Boosting: min_samples_split, min_samples_leaf fitting","Hi, dear Kagglers! I decided to fit min samples split and min samples leaf parameters in gradient boosting classifier. Let's assume, that i fixed the rest parameters. My question is: how the size of the dataset (amount of samples) influence the final fitting results. In other words, will I achieve the same results for the min samples split/leaf for the dataset with 150000 samples and for the dataset with 50000 samples. Thank you in advance and sorry for my English =)",0,None,9,Wed Sep 16 2015 20:05:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16528,/competitions/springleaf-marketing-response,384th
/amichaelcohn,Seeking a team,"Hi! I'm a new kaggler with a lot of experience in data processing and regression methods, but I'm just getting started with machine learning techniques. I'd love to join a team and learn by observing the workflow of more experienced folks, as well as contributing what I can. Please contact me if you're open to accepting new members.",0,None,1,Wed Sep 16 2015 21:58:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16529,/competitions/whats-cooking,104th
/usixuz,NN starter kit,"Hi, how is the different image size got handled here, does it relates to the code in feature_matrix ? sorry, I did not see.",0,None,1,Wed Sep 16 2015 23:36:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16530,None,None
/ettavetta,Can I use STATA and compete on kaggle?,"I know, I know. But I used STATA in my PhD program and I'm not sure I want to invest in learning R just to use kaggle--though these competitions seem really fun! Thanks!",0,None,1,Thu Sep 17 2015 01:24:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16531,None,None
/broham,How to post scripts for a competition?,"This might be a stupid question, but how do I go about posting a script for one of the competitions? For example I've been checking out a [Link]:https://www.kaggle.com/c/sf-crime/scripts (which are pretty cool) and I would like to submit my own. I had assumed that clicking the ""New Script"" button would allow me to create a new post that would show there, but as far as I can tell it only allows me to create and run a script. I can't see any way to include graphs or writeup anything about the script. Can anyone tell me how i would go about posting my script, some images and a brief writeup? Thanks for",0,None,1,Thu Sep 17 2015 03:06:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16532,None,None
/mindcool,Interest to form a team,"I would like to form a team. I have experience with Caffe, Keras and Matlab, but my results are based on a 10-fold cross-validated Caffe model. If you have experience in cross-validation and would like to form a team, please contact me.",0,None,3,Thu Sep 17 2015 05:55:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16533,/competitions/noaa-right-whale-recognition,51st
/shujukexue,"modified cos similarity, python edition",A question about how to create weight matrix. Could you tell me how to choose that index?,3,bronze,2,Thu Sep 17 2015 06:28:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16534,None,None
/vikrant24,Need Advice on Data Science Jobs from Data Scientist,"I am seriously working hard to make my career in Data Science. Appreciate if fellow kagglers/Masters who are actually working as data scientist in industry can answer my questions - Which is more complex? Kaggle completions or the projects you do at your work? In other words if I am doing decent in Kaggle competitions then am i ready to take up actual data science job? Everyone says data science jobs are high paying but is it really a fact? I saw some of the fellow kagglers asking for a lead to get the job in spite of being Master. What all skills needed to get data science jobs. Is knowing Python, ML enough to get a job. Friends please guide.",2,bronze,4,Thu Sep 17 2015 07:28:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16535,None,None
/kappa42,Simple theano script with 0.79033 on leaderboard,This is a NN with 2 hidden layers and embedding layer with dropout regularization and NAG optimizer. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92820/2944/cook.py,0,None,6,Thu Sep 17 2015 10:36:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16538,/competitions/whats-cooking,157th
/domcastro,Mac Anaconda Python Segmentation Fault 11,"I'm having problems processing the text files with the process_html.py file. My Mac keeps crashing with a segmentation fault 11. There's loads of stuff on StackOverflow from about 2013 about Mac Mavericks and Python Readline. I installed the patches but I still get the fault - I think possibly because I use Anaconda , the files that need to be updated are in a different place. I've tried with 2.7 and 3.3 and both bomb out with a fault. Anyone have a solution, please?",0,None,8,Thu Sep 17 2015 10:54:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16539,/competitions/dato-native,100th
/surjya,How say type of variables without any description?,"hello all, As there is no description given about the variables, how can I know which variable is what type? Some values like (19.0,20.0,50.0,43.0…..) looks like floating, but may be actually integer, but while importing data to python its converted to floating point format. Some values like (10,33,45,76,10,32,44,45,16,88,87…..) may be categorical or integer type, but how to say without description about the variable? Please throw some light about this….",0,None,5,Thu Sep 17 2015 11:25:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16540,/competitions/springleaf-marketing-response,1651st
/vmoorthy3,sampleSubmission dataset,"In sampleSubmission.csv dataset, WARRANTS is populated with 1 for all 884,261 records whereas rest of the columns are set to 0. Is that intentional? Is this file like a template for us to populate by reading 'train' dataset?",0,None,1,Thu Sep 17 2015 12:24:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16542,/competitions/sf-crime,None
/hmboxwala,XGB_3-with irrelevant columns removed,When I fork this script it times out in 200 rounds. How did you manage 950? Edit: I'm talking about version 9 of this script.,0,None,3,Fri Sep 18 2015 10:56:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16560,None,None
/jiweiliu,Does train:test ratio change the challenge?,"From 1:2 to 5:1, does the feature importance change for the same set of features?",1,bronze,3,Fri Sep 18 2015 15:41:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16562,/competitions/dato-native,4th
/kburnham,Worst. Classifier. Ever.,"I tried to train a classifier to find whales, but apparently I trained one that finds everything BUT whales. Which I guess is just as good . . . [Image]:w_0_found.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/92903/2947/w_0_found.jpg",6,silver,4,Fri Sep 18 2015 18:06:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16563,/competitions/noaa-right-whale-recognition,140th
/aemmert,Teammates wanted in the bottom 50th percentile,I'm currently sitting fairly low and looking for other challenged individuals who want to join forces.,6,bronze,2,Fri Sep 18 2015 18:06:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16564,/competitions/springleaf-marketing-response,344th
/threeplusme,xgbTree Caret with KS CVM & WtROC Test,Why do I always get Evaluation Exception: The value 0.185969178350928 is above the agreement threshold of 0.09.. Try again or go to submissions page when sumbitting that script?,0,None,1,Fri Sep 18 2015 19:10:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16565,None,None
/inversion,Images on User Profile Forum Tab,"In the forums, the images auto-size. On a person's user profile, on the forum tab, the images don't auto scale. It's minor. But wanted to point it out. [Image]:http://i.imgur.com/ISTpdZE.png",4,bronze,2,Fri Sep 18 2015 19:38:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16567,None,None
/piinformatics,CV vs LB scores,"How well have your cross validations been behaving? I'm having a lot of trouble with this because I use a standard 10-fold CV, but have been getting wildly unpredictive results from it - Eg. when I tune the xgboost params internally I get internal CV - 0.779568 10f cv Eval - auc = 0.780448 (from 50/50 train/test split) But when I submit, it gets a LB of 0.65450 I don't think it's a coding mistake because when I use the params from here: [Link]:https://www.kaggle.com/michaelpawlus/springleaf-marketing-response/xgboost-example-0-76178/code I get LB score - 0.76103 internal CV 0.7613361 eval-auc: 0.762319 Has this been the case for everyone else? Or are your internal CV's pretty predictive?",0,None,13,Fri Sep 18 2015 20:54:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16568,/competitions/springleaf-marketing-response,357th
/gbrello,Boosted Trees,"Hey. I am wondering if anyone else has tried boosted trees on this and if they have been having success? I haven't used boosted trees much, but I am finding them to be rather second-rate in approaching this problem. Not sure if I just don't know how to use 'em, or if its just the wrong problem in which to apply them.",0,None,7,Fri Sep 18 2015 21:39:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16571,/competitions/dato-native,15th
/numericintelligence,38% Missing Data,"Hi Everyone, I wanted to share an observation regarding the training data set: there are 5,288,235 records which have nothing more than minutes and radar distance. This is 38.4% of the total data set and has serious implications for any approach you may be taking. I hope this helps. -Derek",5,bronze,22,Fri Sep 18 2015 23:04:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16572,/competitions/how-much-did-it-rain-ii,None
/ryanthompson,Missing data,It seems to be that promotion4.csv is missing 40 data points. Is this erroneous or is this by intention?,0,None,6,Sat Sep 19 2015 05:04:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16576,/competitions/think-big-usyd-semester-2-2015,34th
/broham,Should I saved preprocessed results to disk?,"It seems like a lot of the samples I see out there preprocess (add new features, clean data, etc.) test/train files in memory every time the code is run. Would it make more sense to preprocess the files and then save them to disk? Then you only have to process it one time instead of every time you run your script?",0,None,3,Sat Sep 19 2015 06:52:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16577,None,None
/sinhayash,Link missing,"On Get the Data page, ""Please see this page to understand more about polarimetric radar measurements."" What is the ""this"" link?",0,None,1,Sat Sep 19 2015 06:56:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16578,/competitions/how-much-did-it-rain-ii,375th
/usixuz,Graphlab error,"Hi, I am trying to train a boost tree classifier with grid search, but I always got the following error information, could anyone kindly help me out ? params = {'target': [['sponsored']], 'features': [['tfidf']], 'class_weights': 'auto', 'min_child_weight': [1, 4, 8], 'min_loss_reduction': [0, 4, 8] } job = gl.grid_search.create((train, val), gl.boosted_trees_classifier.create, params, evaluator=evaluate_accuracy) The error is : Invalid key type: must be str …",0,None,5,Sat Sep 19 2015 13:23:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16579,/competitions/dato-native,86th
/chonglinsun,Team up again?,"Hi all, Since my teammate is busy with his work and cannot actively engage in this competition recently, I want to find another teammate to work together. Please send me your email if you are able to actively try this contest. Thanks a lot, Eric",0,None,2,Sat Sep 19 2015 19:29:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16580,/competitions/dato-native,11th
/filipus,FurtherModifiedCosine(.007600),"shouldnt it be rep(weightm[6],1) instead of rep(weightm[6],2)",0,None,3,Sat Sep 19 2015 23:14:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16582,None,None
/deega3000,Struggling with string and floats in Python,"Hi All, Is it possible to map a column of strings with column of floats in Python ?? Thanks in advance….",0,None,5,Sun Sep 20 2015 14:00:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16584,/competitions/coupon-purchase-prediction,594th
/valerioorfano,Ensemble Majority vote,"Hi i ve tried 3 different algorithm: NeuralNetwork, LogisticRegression, and RandomForest. LogistRegression gives me the best score. I prefer to use ingredient as a composed word, decomposing it into multiple words would give out 100K + attributes, very difficult to manage. GradientClassifier and SupportVectorMachine cannot be used because they take too many hrs (I was not able to install XGBoost on my Mac 10.9.3) . I have also created an ensemble algorithm that chooses the most common recipe among the 3 algorithms, but almost no improvements compared to LogisticRegression(just by 0.002). Any idea? In attach my script [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93023/2950/whatscooking.py",0,None,4,Sun Sep 20 2015 16:44:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16585,/competitions/whats-cooking,181st
/phillipadkins,Outlier Dominating The LB MAE?,The magnitude of the LB MAE given the distribution of target values in the training set leads me to believe that it's dominated by outliers. Thoughts?,1,bronze,8,Sun Sep 20 2015 18:57:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16587,/competitions/how-much-did-it-rain-ii,364th
/datacanary,Median Benchmark (24.15781),"This is great! Should be ../input/train.csv, though",1,bronze,7,Sun Sep 20 2015 21:09:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16588,None,None
/genemiller,Radar reflectivity in km?,"[Link]:https://www.kaggle.com/c/how-much-did-it-rain-ii/data defines the 4th data column as: Ref: Radar reflectivity in km Seems like typo to me. Wouldn't it make better sense to say ""Radar reflectivity in dBZ""? See [Link]:https://en.wikipedia.org/wiki/DBZ_(meteorology).",3,bronze,6,Sun Sep 20 2015 23:34:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16590,/competitions/how-much-did-it-rain-ii,532nd
/jeffhebert,NOAA Report on Maximum Rainfall in US,I found this [Link]:http://www.nws.noaa.gov/oh/hdsc/Technical_papers/TP2.pdf. Enjoy,0,None,1,Mon Sep 21 2015 01:03:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16592,/competitions/how-much-did-it-rain-ii,169th
/amhchiu,Combinations of ingredients,"Different cuisines use the same ingredients, which is why some decision trees predict many cuisines incorrectly as Italian, southern us, Mexican, Chinese, Japanese etc. Would combinations of ingredients help? If so, how could it be done?",1,bronze,1,Mon Sep 21 2015 02:55:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16594,/competitions/whats-cooking,1300th
/bitsofbits,Team HEDJ solution,"We've posted our code to github [Link]:https://github.com/bitsofbits/kaggle_grasp_and_lift_eeg_detection. Our approach was simple: we developed a neural net that scored ~0.971 on the leaderboard (I discussed the structure of this net previously in this [Link]:https://www.kaggle.com/c/grasp-and-lift-eeg-detection/forums/t/16288/structure-of-our-best-net-hedj ), generated a bunch of variations on this net and then just averaged the results together. We weighted nets that we knew or strongly suspected would score well (>0.97) on the public leaderboard higher and we discarded poorly performing (0.963) nets, but other than that we didn't really have a second level model. The highest scoring single net that made it into our ensemble score 0.97147 on the private leaderboard. However, we didn't submit this net individually till after the close of the competition so, we didn't know that until recently. We learned several things when we went to clean up, write up and recreate our scores. Two important ones were, first that we had undertrained many of our nets. Training them for longer times generally resulted in better scores, this was particularly true when paired with the improved validation setup we put together near the end of the competition. Second, we didn't keep track of the exact parameters we used when training some of the nets. As a result, when we went to recreate everything we couldn't recreate the results of those early nets exactly and had to content ourselves with a score slightly above the score we submitted for third place. A total of 34 nets made it into the final ensemble, and training all of these nets and generating a solution takes several days of runtime on machine with two high powered GPUs. Using a large ensemble of nets is probably impractical, but a single net or even a few nets averaged together good probably make predictions fairly efficiently. This is because the output top several levels of the net, where most of the computation takes place, could update their outputs incrementally rather than recomputing them from scratch each time. The bookkeeping involved in implementing this would likely be something of headache but it seems possible. If you have any trouble recreating any of the nets, please let us know and as soon as [Link]:https://www.kaggle.com/deep is done with his Thesis/Paper marathon and I'm done moving, we'll get right back to:-) (That is probably Tuesday or Wednesday). Thanks for the opportunity to compete in the competition with this great dataset. It was a lot of fun.",12,silver,2,Mon Sep 21 2015 04:34:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16595,/competitions/grasp-and-lift-eeg-detection,3rd
/arubin,Sentiment Analysis (Python v.3),"Sentiment Analysis, python3 The script will not run here as is, as Kaggle restrict from opening external URLs This script will try to do a sentiment analysis with text-processing.com It will select all email texts and send it to text-processing.com to get the sentiment: {neutral, pos, neg} The results will be saved into a local table called santiments to create run: con.execute(""CREATE TABLE Sentiment(id int primary key, sentiment tinyint)"")",0,None,1,Mon Sep 21 2015 05:58:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16596,None,None
/gbrello,Top of the LB. Beat the leak?,Hey y'all up at the top of the LB. Do any of you think that by the end of this you'll manage to beat the leak? I'm just curious…,0,None,2,Mon Sep 21 2015 06:03:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16597,/competitions/dato-native,15th
/nanjunxiao,why my titanic's result became 'None'?help~,why my titanic's result became 'None'?help~,0,None,1,Mon Sep 21 2015 08:54:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16599,/competitions/titanic,None
/valerioorfano,Different ingredients => Same ingredient,"Hi i am italian, so i can talk well about italian cuisine ;) For italian recipes we have the same ingredients explained in different ways: mozzarella cheese part-skim mozzarella cheese shredded mozzarella cheese Sargento® Traditional Cut Shredded Mozzarella Cheese mozzarella balls The same for ricotta cheese….. How can we identify all these different ingredients as the same ingredient ""mozzarella""? and then imply ""italian"" cuisine? Best Regards",0,None,5,Mon Sep 21 2015 12:26:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16601,/competitions/whats-cooking,181st
/patriciolobos,Oslo UseR!  - Norway,"Hi Kagglers, I'm a member of Oslo UseR! group and I would to know if any of you would like to share a bit of Kaggle with us. What we need is a 1 - 2 hours talk, covering your experience competing, which tools are you using, which algorithms and run a demo of your most successful competition. The goal of the meeting is to entice fellow statisticians / data scientists in Oslo to participate in Kaggle. More info about our group here [Link]:http://www.meetup.com/Oslo-useR-Group/ BR, Patricio Lobos Oslo UseR!",0,None,1,Mon Sep 21 2015 13:59:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16602,None,None
/enisnazif,"Bag of ingredients, not words?","Hi, I am attempting to use the TM package in R, but when building a term document matrix, it seems as if the TermDocumentMatrix function is splitting every single word in the ingredients field of train, whereas i'd really only like it to add each individual string to the term document matrix and count occurrences of those e.g ""black pepper"" rather than ""black"",""pepper"". Is there a way to do this in R? Thanks",0,None,7,Mon Sep 21 2015 14:28:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16603,/competitions/whats-cooking,None
/marcobr,"Can one clone a closed competition into a new ""In Class"" competition?","Hi, I'd like to run a private ""In Class"" competition as part of an academic course. However, instead of setting up a new competition from scratch, I would like to ""clone"" one of the many closed ones -- the data will be used solely for teaching purposes. Is this possible? Thanks, Marco Bressan / University of Rome",24,None,7,Mon Sep 21 2015 15:09:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16604,None,None
/dietcoke,Census places,It looks like VAR_0200 are census places ( [Link]:http://www2.census.gov/geo/docs/reference/codes/files/national_places.txt). Too bad external data is prohibited.,0,None,12,Mon Sep 21 2015 18:29:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16605,/competitions/springleaf-marketing-response,922nd
/benhamner,Around the world in 80 lines of code,Which library are you missing?,0,None,2,Mon Sep 21 2015 18:40:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16606,None,None
/mchlkffl,Tfidf missing unable to detect native ads,"I am using the NATO dataset to try some NLP techniques for the first time. I found that tfidf is very bad at predicting native ads when used alone. I have attached the confusion table of tdidf applied on a sample of appr. 12,000 ads. My score of 91.2% only seems high because most ads are negative, but I do a very poor job at detecting positives. I wonder if anyone was able to achieve better results using tfidf alone? Thanks [confusion table also uploaded] [Link]:http://www.tiikoni.com/tis/view/?id=3c8e169 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93124/2959/confusion table.JPG",0,None,5,Mon Sep 21 2015 21:08:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16607,/competitions/dato-native,None
/domcastro,BBC Can a robot do your job?,"The British BBC have been running a series on Robots and AI [Link]:http://www.bbc.co.uk/news/technology-33978561 They also have a ""how much is your job at risk from robots?"" question Who thinks Data Science can be automated? Who is scared that their data science job could be at risk from robots?",2,bronze,7,Tue Sep 22 2015 00:28:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16610,None,None
/dietcoke,Fixed effects,"Am I correct that we can do fixed effects with xgboost (assuming they enter linearly) by transforming our data before and after fitting (see, e.g., Cameron and Trivedi, 2005, at 738)? pseudo-code (python): geo_means = train.groupby('geo').transform(np.mean) time_means = train.groupby('time').transform(np.mean) overall_means = train.groupby('const').transform(np.mean) train_within = train - geo_means - time_means + overall_means # de-mean test dtrain_within = DMatrix(train_within.drop('label',axis=1).values, label=train_within['label'].values) model = xgb.train(params,dtrain_within,...) predictions = model.predict(dtest_within) # add means back to predictions copy If so, has anyone tried this?",0,None,4,Tue Sep 22 2015 07:19:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16613,/competitions/springleaf-marketing-response,922nd
/maneeshkm,Data Leakage,I am wondering if there is some data leakage between train and test datasets. How does one get to the top position with just 2 submissions?,-3,None,20,Tue Sep 22 2015 08:52:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16614,/competitions/springleaf-marketing-response,169th
/daheimao,Team daheimao solution,"Code and documentation can be found [Link]:https://github.com/stupiding/kaggle_EEG. I am a Ph.D student majored in neural networks and computer vision. This is my first Kaggle competition. My intention of participating in this competition is to evaluate the performance of recurrent convolutional neural network (RCNN) in processing time series data. RCNN is firstly proposed by I for image classification ( [Link]:http://www.xlhu.cn/papers/Liang15-cvpr.pdf), and then used for scene labeling (will appear in [Link]:https://nips.cc/Conferences/2015/AcceptedPapers soon). In these two tasks input data is static image, and RCNN performs well. It turns out that RCNN also performs well for EEG data. Without any domain knowledge related modification, our best single model achieves 0.97652/0.97661 public/private LB scores. The pipeline of our solution is simple: 1.A set of candidate models (mostly RCNN) are trained in a 4-fold cross validation (CV) manner over the training set. 2.Greedy forward selection (GFS) is applied to the candidate model set, so that some models are selected for combination and submission. The selected models are re-train over all the training data, and their predictions over the test data are averaged and submitted. The pre-processing is very simple, just removing the mean of each input sample, which is the common practice in image classification. The model is neither subject-specific nor event-specific. A model receives the data of any subject as input, and outputs six predictions. Most of our models are RCNN, whose structure is described in the [Link]:https://github.com/stupiding/kaggle_EEG/blob/master/README.md and the papers. I also tried CNN, and the best CNN model achieves 0.97136/0.97297 public/priviate LB scores. GFS seems to work well and its results are consistent with the LB scores. However, I made some mistakes when there were 3 days before the deadline. And our ensemble almost stops improving since then. To sum up, my first kaggle competition is very exciting. I want to give thanks to the organizers and all the other teams!",15,silver,11,Tue Sep 22 2015 13:23:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16617,/competitions/grasp-and-lift-eeg-detection,2nd
/igoremykin,Model for supervised learning on graphs with varying structure,"Colorization problem is considered. [Link]:http://i.stack.imgur.com/nxcRB.png I have a training set of unordered graphs (images) with varying number of vertices and edges (color regions and adjacency between them, resp.). [Link]:http://i.stack.imgur.com/v8fHI.png A fixed number of features is associated with each vertex (color, area, etc.) and with each edge (length of common border, color contrast, etc.). For input graph (an image to be colored) the trained model is supposed to specify color for each vertex (color region) of the input graph. Classic regression algorithms (svm, decision trees, etc.) take fixed sized vectors as input and return fixed sized vectors. Is there a model that naturally handles varying number of vertices / edges? Is there an approach to adapt fixed structure models (MRF, factor graphs, etc.) to handle this particular case?",1,None,1,Tue Sep 22 2015 14:54:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16618,None,None
/alenadwiranata,agreement check,"Hi All, I submitted a couple predictions, but I got error messages saying that my agreement check is higher than 0.09. I did ks.test and I got below 0.09. Do you know what happened?",0,None,3,Tue Sep 22 2015 17:39:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16619,/competitions/flavours-of-physics,None
/lakshmanok,Ignored Ids,"Please note that the MAE is now being computed only on Ids where at least one of the Ref values is non-null. In other words, it doesn't matter what value you predict for those Ids. All previous submissions have been rescored. The benchmark, for example, went from a MAE of 128mm to a MAE of 24mm. For more context, please see this thread: [Link]:https://www.kaggle.com/c/how-much-did-it-rain-ii/forums/t/16572/38-missing-data/",5,bronze,10,Tue Sep 22 2015 20:45:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16622,/competitions/how-much-did-it-rain-ii,None
/xiaozhouwang,This competition is not popular at all,Hmm. I wonder if it can hit 100 teams at the end.,1,None,17,Tue Sep 22 2015 23:52:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16623,/competitions/dato-native,4th
/rinzewind,Who might have won?,"What if the final leaderboard were built by taking the best submissions, and not necessarily those selected by the users? Here's what would have happened to past competitions.",1,bronze,5,Wed Sep 23 2015 04:41:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16625,None,None
/davidshinn,Beat the Benchmark 0.90388 with simple model,"In response [Link]:https://www.kaggle.com/c/dato-native/forums/t/16623/this-competition-is-not-popular-at-all and to drum up a little more interest in this competition, I'm posting some starter code that performs decently (0.90388), needs quite a bit of work, leaves room for a lot of improvement, and it is a really basic model (just 7 features with RandomForest), showing that many competitors are ignoring some really basic features. It runs under 8 minutes from start to finish on a modern Mac Book Pro (uses multiprocessing, so runs 8 processes in parallel). Just in case you're wondering, I'm not a proponent of high performance btb code this close to competition end, but really, just 7 basic count features? Enjoy! My feature set: values['lines'] = text.count('\n') values['spaces'] = text.count(' ') values['tabs'] = text.count('\t') values['braces'] = text.count('{') values['brackets'] = text.count('[') values['words'] = len(re.split('\s+', text)) values['length'] = len(text) copy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93238/2963/btb_native_basic.py",45,gold,42,Wed Sep 23 2015 05:32:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16626,/competitions/dato-native,10th
/ciphurus,Help with xgboost sklearn Randomized Grid Search,"I am trying to run RandomizedSearchCV on a xgboost model (see sample script) but the error I get is: AttributeError: 'XGBRegressor' object has no attribute 'predict_proba' Am I doing something basic wrong? If someone could point me towards a fix, that would be great. Thanks for the help [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93241/2964/random_grid_search.py",2,None,2,Wed Sep 23 2015 06:01:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16627,/competitions/springleaf-marketing-response,947th
/suriya,can someone tell me what this submission error means?,"I ran my SVM code, and I generated the submit file. When I am trying to upload to kaggle for submission I am getting the following error. Record 144961 had 385 columns but expected 2 What does this mean? I checked and double checked the submission file. I dont know what is wrong here.",0,None,3,Wed Sep 23 2015 06:15:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16628,/competitions/springleaf-marketing-response,2047th
/sinhayash,XGB_3-with irrelevant columns removed,Can you please explain how have you chosen to drop those columns?,0,None,2,Wed Sep 23 2015 07:24:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16630,None,None
/ab19026,How to calculate MAP@10?,,1,bronze,4,Wed Sep 23 2015 09:45:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16631,/competitions/coupon-purchase-prediction,723rd
/mikeskim,Online Random Forests?,Has anyone tried Online Random Forests like: [Link]:https://github.com/balajiln/mondrianforest [Link]:https://github.com/amirsaffari/online-random-forests On Kaggle datasets like this one? I'm skeptical these methods work since the first method does not even look at class labels. But I might be wrong. [Link]:http://papers.nips.cc/paper/5234-mondrian-forests-efficient-online-random-forests.pdf,5,bronze,10,Wed Sep 23 2015 12:03:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16632,/competitions/springleaf-marketing-response,32nd
/mathmagician,XGBoost loading error for python2.7 using anaconda,"I used pip install xgboost to install xgboost-0.4a14. When I tried loading it I got this error. OSError Traceback (most recent call last) in () ----> 1 import xgboost as xgb /Users/azaitzeff/anaconda/lib/python2.7/site-packages/xgboost/init.py in () 9 import os 10 ---> 11 from .core import DMatrix, Booster 12 from .training import train, cv 13 from .sklearn import XGBModel, XGBClassifier, XGBRegressor /Users/azaitzeff/anaconda/lib/python2.7/site-packages/xgboost/core.py in () 90 91 # load the XGBoost library globally ---> 92 _LIB = _load_lib() 93 94 def _check_call(ret): /Users/azaitzeff/anaconda/lib/python2.7/site-packages/xgboost/core.py in _load_lib() 84 if len(lib_path) == 0: 85 return None ---> 86 lib = ctypes.cdll.LoadLibrary(lib_path[0]) 87 lib.XGBGetLastError.restype = ctypes.c_char_p 88 return lib /Users/azaitzeff/anaconda/lib/python2.7/ctypes/init.pyc in LoadLibrary(self, name) 441 442 def LoadLibrary(self, name): --> 443 return self._dlltype(name) 444 445 cdll = LibraryLoader(CDLL) /Users/azaitzeff/anaconda/lib/python2.7/ctypes/init.pyc in init(self, name, mode, handle, use_errno, use_last_error) 363 364 if handle is None: --> 365 self._handle = _dlopen(self._name, mode) 366 else: 367 self._handle = handle OSError: dlopen(/Users/azaitzeff/anaconda/lib/python2.7/site-packages/xgboost/./wrapper/libxgboostwrapper.so, 6): Library not loaded: /usr/local/lib/gcc/4.9/libgomp.1.dylib Referenced from: /Users/azaitzeff/anaconda/lib/python2.7/site-packages/xgboost/./wrapper/libxgboostwrapper.so Reason: image not found Any idea what I can do? Thanks",4,bronze,6,Wed Sep 23 2015 14:15:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16633,/competitions/springleaf-marketing-response,34th
/jakublangr,Teammates wanted (~50th percentile),"Hi, my name is Jakub Langr and I am currently working as a data scientist in a start-up. I am looking for teammates around 50th percentile. I have currently used R so I think it would be easier to share code if you are also working in R. But I can work with Python too. Feel free to say hi and what you have worked with so far at james.[LASTNAME]@gmail.com! Best, Jakub",2,bronze,2,Wed Sep 23 2015 14:44:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16634,/competitions/springleaf-marketing-response,281st
/benhamner,Want to become a Kaggle Master?,"The [Link]:https://www.kaggle.com/c/dato-native, with three weeks remaining and 86 teams so far is a great way to earn the required top 10 finish.* Some competitions (including [Link]:https://www.kaggle.com/c/deloitte-western-australia-rental-prices) and an upcoming one I'm excited about require Kaggle Masters status to participate. Note that this [Link]:https://www.kaggle.com/wiki/UserRankingAndTierSystem",1,None,8,Wed Sep 23 2015 16:10:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16635,None,None
/benhamner,Product Feedback Forum,"The [Link]:https://www.kaggle.com/forums/f/809/product-feedback/t/13728/kaggle-scripts-product-feedback has become unwieldy, so I created this forum in it's place. Please use this forum to as questions on, comment on, and suggest improvements for all aspects of Kaggle's product (including scripts, competitions, the process of making a submission, the forums, etc.). If there's not a topic currently associated with your question or area of improvement, go ahead and make a new one. Thanks!",5,None,48,Wed Sep 23 2015 19:20:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16637,None,None
/benhamner,Kaggle Product Feedback Forum,"I've blocked additional responses to this thread - please make new forum topics for your suggestions The [Link]:https://www.kaggle.com/forums/f/809/product-feedback/t/13728/kaggle-scripts-product-feedback has become unwieldy, so I created a new [Link]:https://www.kaggle.com/forums/f/809/product-feedback forum to cover this plus feedback on all aspects of Kaggle's product (scripts, competitions, making submissions, forums, etc.). Please let us know your thoughts there!",2,bronze,5,Wed Sep 23 2015 19:25:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16638,None,None
/sergeylebedev,Naive Bayes classifier pros and cons,"Hi, I decide to use non-parametric estimation of probability density and naive Bayes classifier. Anybody succeeded with that?",1,None,2,Wed Sep 23 2015 22:20:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16639,/competitions/springleaf-marketing-response,1717th
/numericintelligence,Ref:  Radar reflectivity in km,"Hi All, I noticed that the data page describes the units on the variable Ref as ""Radar reflectivity in km."" It seems to me that these should be in dBZ, especially when I compared values with RefComposite. Can you advise? Thank you, Derek",0,None,6,Wed Sep 23 2015 22:59:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16640,/competitions/how-much-did-it-rain-ii,None
/georgesolymosi,"To admins (Wendy): Where is the ""actions to mitigate""?","Our proposal was: ""To the admins: How can we take seriously the LB?"" Wendy's answer was: Hi [Link]:https://www.kaggle.com/George, [Link]:https://www.kaggle.com/phunter Thank you for your suggestions. We will take some actions to mitigate. Every Kaggle competition is different. We do try our best to avoid data leakage, but it's not always perfectly avoidable given the natural constraints of the problem. It was 23 days ago. Where is the result of your ""mitigation"" or sorry if I missed something. Thank you.",-1,None,6,Thu Sep 24 2015 01:19:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16642,/competitions/flavours-of-physics,12th
/phunter,GridSearchCV with feature in xgboost,"This is a code skeleton for feature engineering and hyperparameter search for xgboost. Surely the parameters are not optimal, but new comers can have a good starter code to explore. It uses xgboost as a classifier. Xgboost has nice scikit-learn interface for fitting the classifier in a pipeline, unfortunately no many people know this secret.",3,bronze,24,Thu Sep 24 2015 01:28:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16643,None,None
/dietcoke,VAR_0254,"Neat little monotonic(ish) relationship: pd.crosstab(train['VAR_0254'],train['target']).apply(lambda r: r/r.sum(), axis=1) copy",2,bronze,2,Thu Sep 24 2015 04:06:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16647,/competitions/springleaf-marketing-response,922nd
/agloolga,competition is still open but new submissions are not allowed?  ,"tried to make a submission but got the system response ""This competition is closed to new entrants"".",-1,None,3,Thu Sep 24 2015 05:32:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16649,/competitions/coupon-purchase-prediction,None
/miniushkin,Jitter Test for Overfitting,Better shaped notebook is here [Link]:https://github.com/Alexander-Minyushkin/ml_cheat_sheet/blob/master/Jitter_Test_for_Overfitting.ipynb,0,None,2,Thu Sep 24 2015 15:30:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16652,None,None
/dipayan,WhatsCooking(Python),"New to data science and here goes my first submission to Kaggle , some comments/criticism will be more than welcome :-)",6,bronze,7,Thu Sep 24 2015 16:36:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16653,None,None
/anazamarron,Most Used words in logbook by Country,"Hi, Im trying to use the following: from nltk.corpus import stopwords (or better from stop_words import get_stop_words) but is not installed. I'm also trying to get the shape of an image in order to draw the wordscloud, Is it possible to upload images to the server? or use urllib.urlopen instead in order to open the image from an url? thank's Ana.",0,None,1,Thu Sep 24 2015 16:45:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16654,None,None
/vkuznet,External data usage,"Hi, can we use external data, e.g. inflation index?",0,None,23,Thu Sep 24 2015 19:23:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16655,/competitions/deloitte-western-australia-rental-prices,30th
/talestsp,How to deal with NAs at crime Id?,,0,None,1,Fri Sep 25 2015 03:02:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16656,/competitions/sf-crime,1210th
/khyh00,Deep Cooking,"Inspired by [Link]:https://www.kaggle.com/c/whats-cooking/forums/t/16538/simple-theano-script-with-0-79033-on-leaderboard/, I created a NN that generates new recopies (a NN that transforms labels to ingredients). Currently, the output is something like mixture of sauces and it is not what I expected to be. Is there any idea to make it more like a real recipe? How to run Download data from kaggle and put them to 'input' directory. Run 'weight_nn.py'. It trains NN by using train set. Run 'cooking.py'. I tried to port it to Kaggle script, but it seems too heavy. Examples - - - - - I N P U T - - - - - chinese (1.0000) - - - - - O U T P U T - - - - - chinese five-spice powder (0.0468) Shaoxing wine (0.0329) hoisin sauce (0.0329) szechwan peppercorns (0.0302) oyster sauce (0.0231) peanut oil (0.0230) corn starch (0.0205) light soy sauce (0.0189) wonton wrappers (0.0175) egg roll wrappers (0.0143) - - - - - I N P U T - - - - - british (1.0000) - - - - - O U T P U T - - - - - whipping cream (0.1937) heavy cream (0.1913) unsalted butter (0.1760) sour cream (0.1718) eggs (0.1657) corn starch (0.1643) milk (0.1509) strawberries (0.1444) worcestershire sauce (0.1203) self rising flour (0.1192) - - - - - I N P U T - - - - - british (0.5000) chinese (0.5000) - - - - - O U T P U T - - - - - milk (0.1236) unsalted butter (0.0980) whipping cream (0.0901) eggs (0.0866) heavy cream (0.0787) corn starch (0.0686) worcestershire sauce (0.0624) plain flour (0.0608) flour (0.0607) strawberries (0.0568) copy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93391/2977/weight_nn.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93391/2978/cooking.py",1,None,1,Fri Sep 25 2015 04:11:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16657,/competitions/whats-cooking,418th
/ajenningsfrankston,[Deleted Kernel],"I am trying to understand here how many columns are actually junk. On the face of it, lots. I plan to run cut more columns and look at how much difference it makes to accuracy. Seems unlikely that I'll win this way, but I just don't like junk :-)",0,None,1,Fri Sep 25 2015 04:54:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16658,None,None
/broham,How to work a data set with a huge number of features?,I was hoping to use one hot encoding to create a feature for each street and then seeing how that affected my model. Doing this blows up the number of features out to over 1500 and puts both the train and test files at over 5gb. I tried applying a RandomForest but when I call forest.fit the memory usage balloons out to 60gb and then the Python process dies. Is this a bad approach to take? If not - how does one go about modeling with data this size? Thanks for any feedback!,0,None,3,Fri Sep 25 2015 07:12:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16659,/competitions/sf-crime,2217th
/inversion,Fix-up city names (VAR_0200),Very nice approach!,0,None,12,Fri Sep 25 2015 14:04:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16664,None,None
/yadagirireddy1,SAS,Is SAS a legal tool to use for this competition?,0,None,2,Fri Sep 25 2015 14:48:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16665,/competitions/springleaf-marketing-response,None
/pieterkj,Computation time,"The training set (even the cleaned one) contains more than 1 000 000 observations, which is typically seen as a threshold where it is hard for R to do computations. It is for example impossible to do a proper random forest on this dataset. As I am new to data science I wonder how this problem can be tackled. Could sampling out of the training set be a possible solution?",0,None,2,Fri Sep 25 2015 16:04:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16666,/competitions/how-much-did-it-rain-ii,None
/matchmo,Average Wind Direction,Is latitude and longitude shifted here?,0,None,1,Fri Sep 25 2015 19:00:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16668,None,None
/zachmayer,Anyone else having trouble with cross-validation?,"My internal CV is giving me ~.94, but I keep getting around .68 on the leaderboard. I'm starting to thing I screwed something up when partitioning the files….",2,bronze,9,Fri Sep 25 2015 21:56:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16669,/competitions/dato-native,84th
/rlesser,Communication styles vs Ranks,Interesting! Where did you get the word lists from?,0,None,5,Sat Sep 26 2015 02:39:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16674,None,None
/broham,How to do sparse one hot encoding with pandas?,"I want to use one hot encoding on a feature, but using the method below: df = pd.concat([df, pd.get_dummies(df['Street']).rename(columns=lambda x: str(x))], axis=1) copy It creates a huge unmanageable data set. Someone suggested that I use sparse one hot encoding, but the only examples I could find used sklearn. Is this possible to do with pandas?",5,bronze,8,Sat Sep 26 2015 06:28:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16675,None,None
/tushartilwankar,Good examples of Feature engineering,I came across this [Link]:http://mlwave.com/predicting-repeat-buyers-vowpal-wabbit/ blog on how effectively feature engineering was used in [Link]:https://www.kaggle.com/c/acquire-valued-shoppers-challenge competition. I know in Springleaf data is not much descriptive and both domains are completely different but blog is worth taking a look at. It may help someone to discover new features in Springleaf data.,4,bronze,4,Sat Sep 26 2015 08:20:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16676,/competitions/springleaf-marketing-response,445th
/ivallesp,How to impute,"Hello!, I have a question related to the treatment of the missing data… I removed the variables with more than 1000 missing observations and now, I have seen that the missing data is very condensed: only 969 rows contain at least 1 missing value. Now, I would like to train some models but I'm in 2 minds. Can you give my opinion? my 2 possible options are: 1) Impute the missing values with the median of the column in the training set and use this median to impute also the values of the test set. This way, I would train with an imputed dataset 2) Remove this rows (only 969 as I wrote above), and train with a ""pure dataset"". After that, when I make the predictions, I will impute the missing values in the test set with the median of the training set variables. This way I would train with a ""pure"" dataset. What is the best way? Thank you so much and I'm sorry, I'm a newbie :D",2,bronze,7,Sat Sep 26 2015 13:17:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16678,/competitions/springleaf-marketing-response,76th
/lkashif,Does extreme weather on the seas vary with time?,"The aim is to see whether there is a pattern to extreme weather on a scale of decades. For this preliminary study, I correlate wind force reported in the logs with corresponding Beaufort scale indices in the Lookup_*_WindForce CSVs. I define extreme weather arbitrarily as Beaufort index > 8 (wind speed > 19 meters per second), the number of such occurrences being normalized by the total number of log entries for all Beaufort indices. I do the exercise separately for British, Spanish and Dutch ships. A couple of caveat of this study: Log entries made on successive days on the same ship are treated as being uncorrelated, which is incorrect, for example, in cases of single storms spanning multiple days and vast areas of the ocean. In the attached plots, the error bars therefore may not be quite correct. Ship routes are not taken into account, though this can be expected to affect any time variation of extreme weather patterns. The plot for British ships shows a significantly higher fraction of bad weather in the late 18th century than in the early 19th century. The results for Spain do not show a significant time variation, while Dutch ships seem to have enjoyed relatively nice weather until the 1830s, when things became difficult. Interestingly, British ships appear to encounter more bad weather overall than vessels from the other two countries, but this may be largely related to routes. An elaborate statistical analysis involving nations of origin, routes, time variations, and month (ie, season) of year may yield some very intriguing results.",0,None,2,Sat Sep 26 2015 14:48:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16679,None,None
/lamdang,Unsupervised whale detection,"Hello, I have been trying to implement some unsupervised whale detection. The main idea is that in the pictures there are potentially only the whale and water so using the ratio of color R/B and R/G to detect the whale. It work well it many cases but I don't know what is the real accuracy since I didn't do the manual labelling. It would be great if any one who did could share with me the evaluation ;) Any idea and comment are welcome! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93498/2991/Segmentation - Whale detection.ipynb [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93498/2992/Test detection _ w1.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93498/2993/Test detection _ w249.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93498/2994/Test detection _ w911.png",1,bronze,5,Sat Sep 26 2015 19:50:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16681,/competitions/noaa-right-whale-recognition,None
/daronayer,Having Major Trouble Getting Through Julia Tutorial,"Hi, I am new to Julia, and I am having major trouble getting through the tutorial. When I run Pkg.add(""Images"") ,I get this error INFO: METADATA is out-of-date — you may not have the latest version of Images INFO: Use Pkg.update() to get the latest versions of your packages when I run Pkg.update() , I get this error NFO: Updating METADATA… INFO: Updating cache of Hexagons… INFO: Updating cache of ArrayViews… INFO: Updating cache of ImmutableArrays… INFO: Updating cache of Graphics… INFO: Updating cache of MacroTools… INFO: Updating cache of NaNMath… INFO: Updating cache of Loess… INFO: Updating cache of Grid… INFO: Updating cache of WoodburyMatrices… INFO: Updating cache of GZip… INFO: Updating cache of Showoff… INFO: Updating cache of SortingAlgorithms… INFO: Updating cache of Docile… INFO: Updating cache of PDMats… and then it says, ""couldn't update C:\Users\Aaron.julia\v0.3.cache\Hexagons using 'git remote update' in wait at task.jl:284 in wait at task.jl:194 etc…. would appreciate the help big time",0,None,4,Sat Sep 26 2015 21:46:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16683,/competitions/street-view-getting-started-with-julia,None
/rocknrollnerd,Alternative approaches to whale localization,"So I've been wondering if anybody's using techniques other than LBP model described by organizers. Personally I immediately rushed for a convolutional network, and surprisingly, ended up with nice enough looking results… although, of course, not perfect. The false positive cases have already been briefly discussed before, I guess - those situations where a head is obscured and some other body part (like a tail) is surrounded by foam and makes a distinct white-gray pattern. And then there's an idea - maybe extracting and processing local head/background patches just doesn't give you enough information. Maybe we have to consider the spatial stucture of the body first - and direct our attention at one of it's narrow ends. The body should be relatively easy to detect; and then it's only a matter of determining its orientation and distinguishing a head from a tail… [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93511/2996/wrong_whales.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93511/2997/right_whales.jpg",1,bronze,13,Sun Sep 27 2015 00:35:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16684,/competitions/noaa-right-whale-recognition,None
/vbs0711,Can anyone tell me why 1767762_raw_html is sponsored ?,There is no way to find it sponsored after three times I read the article. Maybe it's a extraordinary good example for Native advertising. UPDATE: It's also difficult to believe 1583100_raw_html as a native ad.,0,None,9,Sun Sep 27 2015 04:46:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16686,/competitions/dato-native,None
/deepakgeorge,Any plans to launch an android app for kaggle? ,It will be great if we can have an android /ios app for kaggle. Any plans in the pipeline for it?,23,bronze,21,Sun Sep 27 2015 05:34:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16687,None,None
/alexlzzz,Rules clarification: Use of external data sources,"I have a question regarding the use of external data. I know that in general, using external data is prohibited. But what if the external data is public, like census, for example? Is it still prohibited, or it is possible to use public data sets for feature engineering?",0,None,1,Sun Sep 27 2015 18:22:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16691,None,None
/skylibrary,"How come I always have submissions KS score 0.0906, 0.0907...","Not sure what's going on, I had this kind of submission on several different models. Is there any quick fix for it ? Or the only thing I can do is to reduce the number of iterations of my model.",0,None,4,Sun Sep 27 2015 19:36:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16692,/competitions/flavours-of-physics,13th
/numb3rs,Make the Top 10,"The goal is to make the top 10. Since there is no limit to the size of a team, this team will be open to adding new members that have a decent score or overall ranking as long as they do not have many submissions. The fewer the submissions the more members can be added, and the more ideas and models that can be pooled. Ready to Rock?",0,None,7,Sun Sep 27 2015 20:39:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16694,/competitions/dato-native,30th
/brennn,H2O Starter Random Forest,Did you optimize the number of trees to 50?,0,None,8,Mon Sep 28 2015 02:14:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16695,None,None
/del=b60c9c43960cd964,Greatest Common Factor Euclid Way,,0,None,1,Mon Sep 28 2015 02:38:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16696,None,None
/benhamner,Temperature by Latitude,"Cool script! A couple ways to extend it would be: Add a histogram of observation counts for the month/latitude combinations (to see how much data's supporting this) See if we see any systematic temperature variation by longitude (wouldn't necessarily expect it, but it could be interesting if there was)",1,None,1,Mon Sep 28 2015 06:43:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16697,None,None
/nswitzer,Undergrad Programs By Earnings,"Thanks for being one of the first useful scripts up! How did you find out 2013 earnings data was not available? Trial and error - or was it clearly stated somewhere? I struggled for a bit then used yours as a reference. Thanks, happy analyzing.",0,None,1,Mon Sep 28 2015 07:52:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16699,None,None
/reaces,Are you better of solo?,"My first try at placing an entry. This script was mostly meant to check if entering solo is at all a viable option, or if Kaggle is a team sport! It looks like solo entries are rare, and only those with a lot of submissions have any hope of getting far with a solo entry. The results looked a lot better when plotted, however I'm new to the Kaggle interface and am not sure how to do the plotting here! Feel free to pick apart / comment / critique, I probably don't know what I'm doing :)",2,bronze,3,Mon Sep 28 2015 16:15:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16701,None,None
/ivallesp,Highly correlated features,"Hello everybody, I have some questions related to the correlated features. I think it is well known that we have a lot of highly correlated features in this dataset, somebody have shown it in some post… I would like to help and I plotted a correlations matrix with all the numerical data with several unique values: [Link]:http://s28.postimg.org/kmfjzwmgt/Captura_de_pantalla_2015_09_28_a_las_16_37_31.png Well, I know that the feature names are impossible to see but it is just for making us an idea… I am struggled at an AUC of 0.79 and I think I read almost everything in the forum and I can't improve my mark. In my data massage process, I decided to remove the high correlated (r>0.90) pairs of features (holding one of them, of course) and I don't know if it is a good Idea to re-process the data and to get rid of this step, I mean not to remove the correlated features unless they have for example an r>0.99. Notice that I used the spearman correlation. What do you think about it? Is it a good idea?",3,bronze,10,Mon Sep 28 2015 16:49:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16703,/competitions/springleaf-marketing-response,76th
/ritesxz,Fast LeNet5 CNN in Theano for GPU,How I can load the dataset in chunk in GPU instead of whole dataset at once? I am facing some serious problem with large sized dataset. GPU is giving out of memory error so I need to load small sized chunk on the fly as the network trains. ?,0,None,1,Mon Sep 28 2015 18:18:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16704,None,None
/sashar,Suggestions to improve my model,"I am new to ML and looking forward to using this challenge to learn new tools and techniques. For this challenge, I first tried using each ingredient as a binary feature and trained a multi-variate Logistic Regression model. As expected, It performed pretty poorly. I then decided to do some feature engineering and wrote a script to create 20 buckets of ingredients(1 for each cuisine type) and assigning a weight to each ingredient by counting the number of times it is used in that cuisine. I then normalized the weights by dividing the count of ingredient in each cuisine by the total number of times it is used across all cuisine to give me the relative importance of an ingredient in a cuisine. Then for a given recipe, I cross-referenced the ingredients against each bucket and output the sum of weights of the ingredients for that bucket. This gave me a set of 20 features, each representing the weight of a given set of ingredients against each cuisine. This was input to a multi-class LR model and NN with 1 hidden layer of 500 units. The NN gave me my best result so far at .77102. However I have topped out here and tweaking the NN parameters has not helped me improve the accuracy of the model. One drawback of my feature engineering is that I am doing literal string comparison, so I am discounting ingredients that have spelling mistakes or prefixed/suffixed by other terms. What do you think about my approach? Can you suggest a way to make my feature set more robust?",0,None,7,Mon Sep 28 2015 18:39:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16705,/competitions/whats-cooking,615th
/kjparmar,Image Deconvolution,I am interested in getting the noise free images if they are available. I can not locate them in any of the threads for this competition. I am using this as part of my research and it would be very helpful if I can get the images or access to the code for deconvolving the galaxy images. I have one other question. Some people have mentioned that they can get satisfactory results without making the images error free. What kind of approach is used for working with galaxy images without deconvolving? Thanks!,0,None,1,Tue Sep 29 2015 00:05:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16710,/competitions/mdm,None
/hartoc,Too many indices for Array error,"Hi everyone. I was just doing the competition in python but I received this error: IndexError Traceback (most recent call last) in () 17 men_only_stats=data[0::4]!=""male"" 18 ---> 19 women_onboard = data[women_only_stats,1].astype(np.float) 20 men_onboard = data[men_only_stats,1].astype(np.float) 21 proportion_women_survive= sum(women_onboard)/size(women_onboard) IndexError: too many indices for array Here is the code I used: import csv as csv import numpy as np csv_file_object = csv.reader(open('../csv/train.csv', 'rb')) header = csv_file_object.next() data=[] for row in csv_file_object: data.append(row) data=np.array(data) number_passengers= np.size(data[0::4,1].astype(np.float)) passengers_survived=np.sum(data[0::4,1].astype(np.float)) proportion_survived=passengers_survived/number_passengers women_only_stats= data[0::4]==""female"" men_only_stats=data[0::4]!=""male"" women_onboard = data[women_only_stats,1].astype(np.float) men_onboard = data[men_only_stats,1].astype(np.float) proportion_women_survive= sum(women_onboard)/size(women_onboard) proportion_men_survive= sum(men_onboard)/size(men_onboard) print proportion_women_survive print proportion_men_survive How do I fix this error?",0,None,4,Tue Sep 29 2015 02:44:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16713,/competitions/titanic,None
/valerioorfano,Test the model when the competitios is over,"Unfortunately i'm going to join this competition too late. Is it possible testing the model when the competition is over, just for fun? Just want to know my score. valerio",1,bronze,1,Tue Sep 29 2015 14:37:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16715,/competitions/coupon-purchase-prediction,None
/domcastro,Blue solid squares,I use Firefox on a Mac and my recent activity looks like this: [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93630/3013/Screen Shot 2015-09-29 at 14.09.36.png,1,bronze,2,Tue Sep 29 2015 15:10:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16716,None,None
/wcukierski,Thank you!,Thanks to those who entered this competition! We're in the process of determining winners and will announce them in this thread as soon as we have them.,4,bronze,3,Tue Sep 29 2015 16:39:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16717,/competitions/introducing-kaggle-scripts,None
/davidl6,"H2O  RFt ntrees 200, maxd 21, cut 70","I just took mlandry's starter script and changed ntrees to 200. runtime was 5:17 and it scored 24.0421, which improved on the ntrees = 50 version a bit.",0,None,1,Tue Sep 29 2015 16:41:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16718,None,None
/leavesbreathe,Make Classification Tree From Reading Wikipedia,"Hey Everyone, For a long time now, I've been trying to make a deep learning program that will read Wikipedia and make some sort of classification tree. For example, [Link]:http://usercontent1.hubimg.com/8991550_f520.jpg It would come up with the category of ""animals"" on its own and make a sub classifications. I thought the best way to tackle this would to be use Deep Belief Networks ( [Link]:http://deeplearning.net/tutorial/DBN.html) but it has been a nightmare to get this to work. Do you guys have any suggestions? I regularly use Theano and Python for Deep Learning. I would highly recommend Keras (which uses these two) for anyone as it helped me enormously.",0,None,3,Tue Sep 29 2015 17:59:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16719,None,None
/xugang137,Home-made algorithms on Kaggle?,"Just for the curiosity, how many of you in this competition, or on kaggle in general, are not getting hooked in the algorithms shipped in some open-source packages (e.g., xgboost, sklearn or whatever on github)? Maybe it's just me. So far I am kind of refusing to use any of these packages, by just turning various knobs and getting things to work. Later I probably will, just for the purpose of comparing with and verifying my own algorithms. Please don't get me wrong, I'm not talking down any of these libraries. They are wonderful, otherwise impossible so many people got hooked on them and indeed achieved great results. But I hope these libraries, such as xgb & sklearn, are not the only dominant algorithms practised in the kaggle community. Please forgive me on my ignorance of this matter, if simply I hadn't known about the wide range of algorithms that have existed in this/previous competitions. Here I am specifically interested in the ""home-made"" original algorithms, even if the bare bones may be designed/taken off the shelf. Sorry for the long post, and thanks very much! Best,",8,silver,23,Tue Sep 29 2015 18:34:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16720,/competitions/springleaf-marketing-response,1398th
/operdeck,Does your correlation with LB scores also look like this?,See attached… [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93646/3015/Schermafbeelding 2015-09-29 om 19.47.20.png,0,None,2,Tue Sep 29 2015 19:49:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16721,/competitions/springleaf-marketing-response,85th
/haikane,sortable forum posts,"A file of all historic competition forum posts, with links: [Link]:https://docs.google.com/spreadsheets/d/1Y9b3NpwCyLNQaCQWBT_5AObUacX4AdSNKZGMKc5rFRE/edit?usp=sharing With: competition post_url post_title votes replies views So you can sort them by any column and curate your reading. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93659/3016/kaggle_competition_forum_posts.ods [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93659/3017/kaggle_competition_forum_posts.xlsx [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/93659/3018/kaggle_competition_forum_posts.csv",1,bronze,2,Tue Sep 29 2015 23:13:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16723,None,None
/ys19931006,Python starter for IDE recommandation,"Newbie here. I just started doing data mining using python. Before that, I did all of my work by R. I am currently using notepad++ as the script and IPython via Anaconda as the console. I feel a little bit inconvenient when I am coding: When I want to run a small chunk of code from the script, I have copy&paste it to the console. I just want to ask is there any integrated IDE for python just like Rstudio for R? Thanks.",0,None,9,Wed Sep 30 2015 04:35:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16725,/competitions/titanic,None
/beteemde,Difference between R and Python,"Hi kagglers, i am using R and randomForest, same as the proposed [Link]:https://www.kaggle.com/c/dato-native/forums/t/16626/beat-the-benchmark-0-90388-with-simple-model . I tried out various settings, ending up not even close to the benchmark of 90%. Do you think it depends on the implementation of the model in R? Or is my feature engineering just worse?",0,None,2,Wed Sep 30 2015 07:55:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16726,/competitions/dato-native,188th
/inpefess,Secret Tiers?,"I have just created [Link]:https://www.kaggle.com/inpefess/meta-kaggle/sqlite-default-script and found that there are not three Tiers (Novice, Kaggler and Master) but much more of them, numbered 0, 1, 2, 3, 4 and 10. I guess that 10 is Master and 4 is Kaggler. But what about 0-3? All people from 1-3 tiers have zero or null points and all people from 0 tier have null points (and there are only 48 of them O_o). I looked up their profile pages - they are marked as Novice usually. Does anybody know what all these numbered Tiers are?",0,None,2,Wed Sep 30 2015 10:45:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16727,None,None
/chinta,Nice competition,"I think this competition is really interesting, with the attributes unmasked/i.e not hidden, there is a good opportunity to apply domain knowledge and feature engineering. Just like the coupon purchase prediction competition where all features are unmasked.",7,silver,11,Wed Sep 30 2015 15:03:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16728,/competitions/rossmann-store-sales,29th
/ask788,Malware in data potentially damaged computer?,"Hi, I downloaded and unzipped the data a couple of days ago. However, right after doing it my Mac started running into issues. I lost the admin rights to my computer and it started acting buggy. The only way to get admin rights back was to reinstall the OS which means my hard drive was completely emptied. Has anyone else had the same issues? I know that unless you click on an infected file the chances of Malware infecting your computer are low so I'm a bit confused as to what happened. (However, according to the person helping my Mac there is no guarantee that unzipping won't trigger either) Regardless of whether that was the cause or not, I am really disappointed that Kaggle won't be bothered to actually do a data check to see if there is any malware. It seems like no one at Kaggle does any sort of due diligence in these competitions. From data leakages everywhere to potential malwares, it's really not that hard to spot these things if Kaggle actually bothered looking at the data first.",0,None,3,Wed Sep 30 2015 18:03:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16729,/competitions/dato-native,30th
/omgponies,Two questions: Customers and Scoring,"The train file has Customers, but the test file does not - the data text doesn't seem to indicate that Customers should be excluded, and it does seem sort of irrelevant to train on if not in the test data. Is the Customers column in the train file just a throwaway column, or was it left out of the test file - and was leaving it out on purpose or an accident? For the scoring and the 1 over n part - is n every store in the submission, or is n every store in the submission minus those with no sales? (in that it says zero sales stores will be ignored in scoring) I haven't yet written something to test to see what the difference, if any, would be on local scoring but was curious.",1,bronze,11,Wed Sep 30 2015 18:32:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16730,/competitions/rossmann-store-sales,1653rd
/slobo777,Using out-of-row calendar data?,"I would expect some increases in revenue when there are planned holidays up-coming or just happened, as store purchases that customers need are brought forward or delayed by a closed day. This is potentially customer behaviour that could be predicted, provided that information is allowed to be used as a feature. Is it allowed to create features such as ""will probably be closed next day"", ""previous day was a public holiday"" etc, based on knowledge of a date from a row and German calendar references (which clearly when considering e.g. Easter and Christmas etc would be known in advance)?",5,bronze,11,Wed Sep 30 2015 20:41:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16731,/competitions/rossmann-store-sales,132nd
/alejandrotobon,test 2,Did you find the reason for the input problems? row col expected actual 1 114 369 no trailing characters .15 2 133 369 no trailing characters .15 3 149 369 no trailing characters .07 4 205 369 no trailing characters .99 5 212 369 no trailing characters .13 6 234 369 no trailing characters .06 7 282 369 no trailing characters .03 8 391 369 no trailing characters .89 ……..,0,None,1,Wed Sep 30 2015 20:47:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16733,None,None
/mylesoneill,Deep Cooking,This is really cool! I'd love to see other cuisine types too!,0,None,2,Wed Sep 30 2015 20:58:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16734,None,None
/mylesoneill,Grouping Numerics - Springleaf,This is a great script!,2,bronze,7,Wed Sep 30 2015 21:03:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16735,None,None
/kappa42,Test data usage,Is it allowed to use test data in an unsupervised manner?,0,None,1,Wed Sep 30 2015 22:06:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16737,/competitions/whats-cooking,157th
/annavictoria,The Working Moms,Really interesting analysis. Thanks for sharing!,4,bronze,9,Thu Oct 01 2015 01:05:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16742,None,None
/nigelessence,prediction on what day?,The training data set has sales on specific days. What days are we predicting for? Or annual sales? Or what?,0,None,1,Thu Oct 01 2015 01:37:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16743,/competitions/rossmann-store-sales,None
/asimkievich,Congrats to the winners!,"Congrats to Herra Huu, Halla Yang, and threecourse! This competition was a very humbling experience, and I really look forward to checking the winner solutions. Best, Alejandro",17,gold,7,Thu Oct 01 2015 02:09:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16744,/competitions/coupon-purchase-prediction,103rd
/interesting,XGBoost w/Custom Error Function,As to your question what is the field customers meaning - I assume that it relates to the number of buying customers within the store on the given date,0,None,5,Thu Oct 01 2015 02:13:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16745,None,None
/halfwit,Anyone here know C++?,"I have an approach using conditional probabilities I am trying that requires matching rows of big matrices. I used Rcpp to speed up what I was doing but am not really familiar with that language so it is probably not optimal. The code may be interesting or helpful to others, but I don't want to bother explaining it unless someone is interested in offering feedback on the best way to do it. Let me know if anyone is interested in seeing it.",0,None,6,Thu Oct 01 2015 04:28:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16746,/competitions/springleaf-marketing-response,288th
/marsanma,make team & friends,"Hey guys, I am novice to Kaggle and only make a single model (logistic regression) which auc around 0.94. My ensembled model is still running (long long job…), I guess it might get to 0.95 at most. I guess the 4% to the top including many, many features I haven't discovered. I want to make some friends and we could share the features we discovered, and of course some model tuning & ensemble techniques. I use python mostly, and scikit-learn, xgboost, libffm.",1,bronze,4,Thu Oct 01 2015 06:30:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16748,/competitions/dato-native,30th
/dataguruhao,Use this competition as a term project?,"Hi I am wondering if I can use the data of the competition for my course project. In the rules, I see that "" Unless otherwise permitted by the terms of the Competition Website, Participants must use the Data solely for the purpose and duration of the Competition, including but not limited to reading and learning from the Data, analyzing the Data, modifying the Data and generally preparing your Submission and any underlying models and participating in forum discussions on the Website. "" Does this mean it is not allowed to use the data for my project? thx",0,bronze,4,Thu Oct 01 2015 06:55:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16749,/competitions/sf-crime,None
/shilpa8989,"After submission , my score is not showing on leaderboard","as i am submitting my result file , its not showing any error . It only redirecting to leaderboard but not showing my entry. Please guide me what should i do",2,bronze,2,Thu Oct 01 2015 13:46:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16750,/competitions/restaurant-revenue-prediction,None
/sermakarevich,Rossmann RMSPE,Hey. Just curious to know what is typical Rossmann RMSPE? Is there any specific accuracy increase company is looking for?,3,bronze,3,Thu Oct 01 2015 14:08:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16751,/competitions/rossmann-store-sales,181st
/del=f639a038a3e73af1,neuralnet package in  R,Is there a regularization parameter in neuralnet package in R. If not recommed some other good neural network packages having this parameter.,1,None,1,Thu Oct 01 2015 20:11:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16756,None,None
/secauvr,VAR_0493 similar words,"What do you guys think about similar values like: ATTORNEY and ATTORNEYS, ATHLETIC TRAINER and ATHLETIC TRAINERS, etc Do you guys think is a good idea replace all the plural words to singular ? Tnks Secau",0,None,4,Thu Oct 01 2015 20:20:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16757,/competitions/springleaf-marketing-response,None
/mikeskim,radar chart,"I wanted to do this for manually clustered categories of competitions, but that would require hard labor. For instance, binary image classification, time series forecasting with regression, iid data multi class classification, etc. I don't think this data is included directly in the dataset unless you mine the descriptions. So instead it's scaled average within groups defined by evaluation metric. You can fork it and plot multiple radar/spider graphs from different people scaled to the overall maximums. This would allow you to compare Kaggler A with Kaggler B across categories.",3,bronze,1,Thu Oct 01 2015 20:50:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16758,None,None
/brennn,23.89668?  What script is everyone using?,I'm seeing a lot of scores of 23.89668. I was wondering what script those folks were using to get that score?,0,None,7,Thu Oct 01 2015 21:59:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16759,/competitions/how-much-did-it-rain-ii,387th
/rachitasatyasi,Class Project,"Hi, I am a Teaching Assistant for Data Mining Course and would want to give this competition as class project to the students and want to confirm if the link for submission would be available till the end of Dec 2015? Also is here any fixed duration after the competition completes that the submission link goes off? Is that duration different for different competitions?",1,None,1,Thu Oct 01 2015 22:10:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16762,/competitions/GiveMeSomeCredit,None
/thematttrader,Median DayOfWeek Benchmark score,"Is the Median DayOfWeek Benchmark score based on the whole test dataset or just the 39% available to us now? I've applied that methodology, using for prediction median sales per shop per weekDay on the training dataset, and I've got RMSPE of 0.2987 or 0.2721, depending on whether I include Sales==0 in n or not. That's not even close to the Benchmark score on test data",2,bronze,9,Thu Oct 01 2015 23:15:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16763,/competitions/rossmann-store-sales,656th
/taffeylewis,Fuzzy logic,"Open question for the better (bigger?) minds out there who may know… Is fuzzy set theory still a thing? I know there was a lot of research with it some years back, but it doesn't seem as prevalent these days? It always seemed a little off to me, but maybe I'm just too dense to get it.",7,bronze,3,Fri Oct 02 2015 01:23:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16764,None,None
/secauvr,One hot encode python,"Is there a faster way to do binary one hot encoder like this ? for value in df_train[column].unique(): new_columns.append(value + '_one_hot') df_train[value + '_one_hot'] = 0 df_train.loc[df_train[column] == value, value + '_one_hot'] = 1 Regards, Secau",0,None,4,Fri Oct 02 2015 02:47:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16765,/competitions/springleaf-marketing-response,None
/captcalculator,sample_dask solution time,"Has anyone attempted to run sample_dask.py on their machine? If so, how long did it take and what are your machine specs? Thanks!",0,None,2,Fri Oct 02 2015 03:20:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16766,/competitions/how-much-did-it-rain-ii,288th
/ys19931006,Why XGB perform badly in this data set?,,0,None,9,Fri Oct 02 2015 03:20:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16767,/competitions/rossmann-store-sales,566th
/iglovikov,How to pass KS test?,"I just joined this competition and logic that helped me in all previous challenges is not useful here for me so far. As a first step I am trying to do cross validation using xgboost on the default features. I have understanding of how xgboost works, what parameters will make model more conservative/more complex and this usually allows me control gap between train/validation set. Right now I have a problem. For any set of the hyperparameters that I checked so far for at leas on of the folds KS test give > 0.09. But I have no clue, what parameters should I change/tune to be able to get less than 0.09 on the Kolmogorov-Smirnov test. Can anyone give me a hint where should I look to be able to pass KS test? How does value of the KS test related to the algorithm/data/physics of the model?",0,None,5,Fri Oct 02 2015 05:02:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16768,/competitions/flavours-of-physics,22nd
/suryakanttyagi,Why test samples in sampleSubmission_v2 are only non-sponsored? ,"Hi Friends, Since test files are in ""5"", and it is mentioned that all files in sampleSubmission_v2.csv are non-sponsored. Do we need to test the model with non-sponsored files only ? Why there are no sponsored samples to test? Please let me know. Thanks Regards Surya",0,None,2,Fri Oct 02 2015 09:59:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16769,/competitions/dato-native,263rd
/fernandoconstantino,All scripts in R?,"I started learning R last year, but realized that most Kaggle winning solutions were in Python, so I switched to learning Python. Now I see all scripts for this competition are in R. Come on guys, stay focused ;)",9,silver,8,Fri Oct 02 2015 12:18:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16770,/competitions/rossmann-store-sales,369th
/tripletdad,How many features got you the highest score?,So how many features has gotten you your highest score on LB? I'm at 508 features so far.,0,None,5,Fri Oct 02 2015 14:40:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16771,/competitions/springleaf-marketing-response,358th
/dyakonov,Ветка для отчётов участников ПЗАДа,Здесь можно постить отчёты по первой задаче,0,None,19,Fri Oct 02 2015 14:57:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16773,/competitions/msuvisits,None
/wildwizard,Potential leakage due to procedure and other questions,"Hello This topic is as much destinated to my fellow competitors as to admins. You will choose whatever you feel like:) Thanks by advance for your insights^^ A remark in another topic made me think of this: [quote=Duc-Kinh Le Tran;93860] You forgot to skip items with target = 0 in your code (the eval function RMPSE). That is why you got INF as output. [/quote] It was a reference to the evaluation metric where: "" Any day and store with 0 sales is ignored in scoring."" I understand that any day with sales equals 0 in the test set is eliminated from the scoring, thus even if you predict it wrongly, it won't affect your score. But: -isn't this some open window to a leakage research as you can by probing try to eliminate the ""0"" values so you don't have to predict them accurately, thus opening some possibility to restriction of the possible values needed for training (say that you have some shop with some index value that gives 0. It would be useful for sponsor to know, but for you, it only noises the data and suppressing it may allow to fit superiorly on other values for ""non zero prediction"")? -In the same perspective of ""increasing the aptitude of the algorithm for fitting"", should we better eliminate days /stores with 0 values? -are assortment levels comparable when changing the store type (is assortment level ""a"" the same in all types or not, qualitatively or quantitatively?) -isn't the data a little too scarse? It's nice not being overwhelmed by features, but as far as promo goes, doing a promo on first necessities won't be the same as doing promo on high end products. Something that won't necessarily be reflected by assortment or store size or whatever else. (So maybe promo should be ignored?) What do you think?",2,bronze,2,Fri Oct 02 2015 16:53:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16775,/competitions/rossmann-store-sales,183rd
/zygmunt,Beating the benchmark (marginally),Here's a Python script scoring 0.1897. It uses only Pandas and computes sales as a mean for a given store and day of week. [Link]:https://www.kaggle.com/zygmunt/rossmann-store-sales/predict-sales-with-pandas-py Up-voting is welcome.,5,silver,1,Fri Oct 02 2015 18:34:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16777,/competitions/rossmann-store-sales,759th
/del=cca345899d608f0a,H2O Random Forest Example (0.11578),Can the log(train$Sales+1) transformation be useful in your proposed H20-RF approach?,1,bronze,27,Fri Oct 02 2015 19:38:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16778,None,None
/alexandrudaia,What is  the error metric  for  this competition?,"Hi all, I looked closely here , but I don't notice where is the error metric for this competition? Tnks!",-3,None,1,Fri Oct 02 2015 20:44:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16782,/competitions/rossmann-store-sales,96th
/phunter,Quick Reference of HEP kinematics calculation,"Just realized another problem that most of data scientists don't know the high energy physics domain knowledge, which might have prevented good competitors from participating in this game. Understanding the kinematics is very important for feature engineering, and PDG is always the best reference [Link]:http://pdg.lbl.gov/2014/reviews/rpp2014-rev-kinematics.pdf for example, we can check 46.4.3. for three-boday decay (tau decays to 3 muons where m1, m2, m3 are all muon mass) This reference only needs high school level physics and math, no need to worry too much about special relativity, so please don't be afraid of reading it.",0,None,6,Fri Oct 02 2015 21:22:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16783,/competitions/flavours-of-physics,29th
/,Random Forest Example (0.12579),,1,bronze,6,Fri Oct 02 2015 21:37:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16785,None,None
/del=0fc6f096ca830d0b,Competition format is too rigid.,deleted,-2,None,3,Sat Oct 03 2015 08:22:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16787,None,None
/thibmain,Approach sharing,"Hi everyone, I am curious to know what approach everyone used. On my side, I have trained 3 kinds of recommender systems : A modification of the cosine similarity script. A hybrid matrix factorisation approach (see [Link]:https://github.com/lyst/lightfm). A regression approach (modeling the interest of the user based on views and purchases). Then I blended predictions with a weighted arithmetic mean, optimising the weights with hyperopt on held out training weeks. I have refactored the code here [Link]:https://github.com/tdeboissiere/Kaggle/tree/master/Ponpare for the details. Cheers !",13,silver,6,Sat Oct 03 2015 11:10:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16789,/competitions/coupon-purchase-prediction,68th
/toshik,My Solution (LB Score: 0.01521),"I'm 5th place on the leaderboard now, and I show you my solution. I use Deep Convolutional Neural Network on Torch 7. [Link]:https://github.com/toshi-k/Kaggle-Denoising-Dirty-Documents",5,bronze,6,Sat Oct 03 2015 17:56:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16792,/competitions/denoising-dirty-documents,6th
/kechenqin,use logistic regression in this competition,"Hi guys, Is there anyone who use logistic regression or FTRL in this competition? What is your best LB score using these kinds of models? Thanks!",0,None,8,Sat Oct 03 2015 19:07:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16793,/competitions/springleaf-marketing-response,23rd
/alexandrudaia,An issue with the RMSPE metric,"Something that is annoing me : My Python implementation of the RMSPE metric that I defined today is not stopping: def rmspe(y,yhat): from math import log, sqrt assert len(y)==len(yhat) yhat[yhat<=0]=0 sum=0 for pair in zip(y,yhat): fraction=(y-yhat)/y fraction_squared=fraction**2 sum+=fraction_squared error=sqrt((1/len(yhat))*sum) return error copy After I saw , that all people was using R due to probably better random forest implementation/h2o I switched back to R where I did a simmilar metric that is working.I am currious if somewone managed to make some working implementation of this metric?",1,None,10,Sat Oct 03 2015 19:55:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16794,/competitions/rossmann-store-sales,96th
/xiaozhouwang,Connecting Kaggler and Company?,"Wouldn't it be cool if kaggle can have a job seekers board as well? Every kaggler who is looking for new jobs can fill a form with their work experience, projects, etc. And maybe kaggle can have a simple matching algorithm to filter candidates according to their experience and job description. So when companies come to kaggle, they don't just post a job here, they can also have some recommended kagglers from kaggle. And when kaggle has more data (who got picked by what company, interviewed, got a job offer, etc), kaggle can even host a competition to predict who is the best match to that job. Just an idea topped to my head. Confession: I myself do want kaggle to become more popular, so that when I say I sometimes compete in kaggle competitions, I don't have to explain what kaggle is to the interviewer most of the time…",14,silver,1,Sat Oct 03 2015 20:00:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16795,None,None
/inversion,XGB Feature Importance (Python),"Maybe a really dumb question (but I haven't had one all week) . . . what is the q for? outfile.write('{0}\t{1}\tq\n'.format(i, feat))",1,None,2,Sat Oct 03 2015 23:38:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16796,None,None
/dyakonov,Выбор задания по визуализации для магистров ММП ВМК,"Здесь укажите ссылку на задачу, которую вы выбрали для визуализации",0,None,14,Sat Oct 03 2015 23:51:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16797,/competitions/msuvisits,None
/rko108,"Prima Facie, the Timing of Mercury Retrograde Slightly Affected Reddit Submission Misspellings and Other Uncommon Word Choices in May 2015","“Mercury retrograde” is, in my culture, a time of great concern. It is believed by many that the apparent astronomical retrogression affects human communication, use of electronics, and thinking, among other things. Before May 19, 2015, 2:46 am GMT, the people of Earth were not experiencing apparent Mercury retrograde during that month, (I call this time NMR), and after that date and time, they were (MR). To test the general thesis of an effect on communications during Mercury retrograde, I looked at a randomized 3.13836% of the Reddit comments in May 2015, wherein 31,863,786 submissions (approx. 1.8 million per day) occurred during NMR and 22,640,624 (approx. 2.1 million per day) occurred during MR. I used the software Mathematica to scan for spelling mistakes, finally comparing the distributions, averages, variances, and their ratios of spelling mistake rates (number of naïve word spelling mistakes in an entry divided by number of words in that entry) during NMR and MR. I used Mathematica basically because of its ease of use to me. I did not edit out common words that are not in the dictionary (e.g., many last names and swear words) or emojis such as :), and so they artificially increased the spelling error rate. The hope here is that this increase is minimal and approximately uniform across the millions of entries in NMR and MR, but such uniformity is, I believe, a little unlikely and not known by me, regardless. The uniformity level could be easily tested, however. What were not included for consideration: • Context mistakes (such as there/their/they’re), • Digital numbers (0 through 9), • Internet links, • Grammar, • Capitalization errors, • Non-English entries, • If the entire post was misspelled, it was disregarded to reduce absolutely nonsense entries or entries whose language is not one of the major ones that could be identified by Mathematica. The numbers of entries thus finally considered were 951,084 during NMR and 674,001 during MR. Note that the distributions by histogram are very similar and the probability plot is visually close to 1:1 (orange overlapping blue) relative to a normal distribution (the dotted line). [Link]:https://dl.dropboxusercontent.com/u/3220564/Reddit%20paired%20histogram.jpg [Link]:https://dl.dropboxusercontent.com/u/3220564/Reddit%20Distribution%20Plots.jpg [Link]:https://dl.dropboxusercontent.com/u/3220564/reddit%20prob%20plot.jpg The ratio of MR mean to NMR mean is 1.01316. The ratio of MR variance to NMR variance is 1.01399. MR Mean & Variance 95% Confidence Intervals: {0.0878318, 0.0883875} & {0.0135012, 0.0135927} NMR Mean & Variance 95% Confidence Intervals: {0.0867333, 0.0871978} & {0.0133221, 0.0133981} Significantly, the confidence intervals do not overlap. In fact, the Kruskal-Wallis p-value for equivalence of medians, where there was an approximately 2.9% increase, is about 2x10^-11 and the Conover p-value for equivalence of variances is about 1x10^-3946 (ha). Prima facie, average word spelling mistake rates in Reddit submissions in May of 2015 slightly increased by about 1.3 percent during Mercury retrograde and variance of these increased by about 1.4 percent. Therefore, I believe these slight but significant increases do warrant further investigation into Mercury retrograde timed effects on word choices in this May 2015 database in particular, and that the data does somewhat support the thesis of a pervasive effect on communication in humans, at least during this particular Mercury retrograde. A more far ranging horizontal study across more Mercury retrogrades would be welcome though, especially since some are described as worse than others, and so, any effects based on entry topics specific to the windows can be smoothed out. I would submit to telecommunications companies an easier and perhaps more fruitful challenge: during MR periods, do they experience an increase in technical support call volume, length, and difficulty? My interest in this topic stems from being a professional astrologer. See AyurAstro.com. Here, also, is the Mathematica notebook for your review. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/94987/3030/Reddit May 2015 Mercury Retrograde Study.nb [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/94987/3031/Reddit paired histogram.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/94987/3032/reddit prob plot.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/94987/3033/Reddit Distribution Plots.jpg",2,bronze,1,Sun Oct 04 2015 02:01:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16799,None,None
/dattasadhu,what files do we have to submit ,do we have to submit the code and the generated csv file or just the csv file,0,None,2,Sun Oct 04 2015 06:16:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16801,/competitions/aegis-spark-course-final-project,4th
/sakuin,CompetitionOpenSince data missing,"Should we assume for this case, it's always before 2013/1/1?",0,None,5,Sun Oct 04 2015 07:34:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16802,/competitions/rossmann-store-sales,None
/ask788,Is Graphlab actually even better/faster?,So I've been using this and so far it's been a disappointment. Other than reading the JSON files which it does pretty quickly it is not quicker in doing other things. A simple inner join takes forever. There are tasks that both Pandas/scikit and R with the appropriate libraries are doing quicker than this (The same join in R takes a few seconds). And I have no idea what's up with their text processing functions. It creates a dictionary of every single possible word in the files (3MM+ features in the ridiculous benchmark) and provides no way to automatically trim down the values to only the most highly occurring ones. And the machine learning functions are not faster than H2O or xgboost it seems. Am I doing something wrong? Keep in mind I don't generally have that much knowledge of Python(I use R) so I could be missing something or not fully grasping this.,1,bronze,2,Sun Oct 04 2015 09:06:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16803,/competitions/dato-native,30th
/chalmi,How to apply 2nd filter mentioned in documentation section 2.2 ,"Hi everyone, I tried to lookup the answer to my question on the forum, but didn't succeed. I'm sorry if this is something obvious, but I can't figure out how to apply the condition mentioned in section 2.2 of documenattion that $m_{\mu^-\mu^+} > 450 MeV/c^2$. I mean it is not clear for me which features from data should I use to calculate this.",0,None,1,Sun Oct 04 2015 09:42:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16804,/competitions/flavours-of-physics,4th
/raddar,XGB W/ RMSPE Eval,Has anyone tried this script on their machines and got the results completely different than this? on my machine 700th iteration gives: [697] val-RMPSE:0.130758195560299 train-RMPSE:0.184035492210033 [698] val-RMPSE:0.13074573621996 train-RMPSE:0.184023839114424 [699] val-RMPSE:0.130673353966831 train-RMPSE:0.183915537833928 any ideas what could cause this slower convergence?,1,bronze,9,Sun Oct 04 2015 10:35:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16806,None,None
/tushartilwankar,What is your best score using sklearn random forest?,"Hello Fellow Kagglers, I am using sklearn's random forest my score is around 0.44 on LB and 0.218 in CV with basic feature engineering on date columns. Is anyone using same algo?Whats your score with sklearn rf?",0,None,10,Sun Oct 04 2015 12:55:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16807,/competitions/rossmann-store-sales,414th
/filipus,Time window variables features,"Does any of you Analyzed If in the incedible long feature List are time window variable Like cumulated purchase the last 6 month , 7-12, 13-18,… When are the receny Frequency monetary variables Find them and Put then in a clever together",0,None,13,Sun Oct 04 2015 12:59:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16808,/competitions/springleaf-marketing-response,481st
/threeplusme,How to solve Issues with `xgboost` library?,,-1,None,1,Sun Oct 04 2015 13:12:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16809,/competitions/rossmann-store-sales,651st
/lkashif,MVAs to predict college completion rate,"Goal: predict the fraction of students in 4-year colleges who complete the program in less than 6 years. I use multivariate analysis (MVA), which also goes by the name of machine learning these days. I want to predict a fraction, so this is a regression problem. I use college and aggregated student data from 2011 to train 3 different MVA methods: single decision tree random forest of decision trees support vector machine (SVM) The learning is subsequently evaluated on 2013 and 2009 data. Below are details of the workflow. The variable that I want to predict (variable of interest VOI) is C150_4 in the DB. In the first step, I look at all quantitative variables associated with colleges and (aggregated) students. 14 variables look promising in terms of predictive power: rate of admission for all demographics (ADM_RATE_ALL in the DB) total cost of attendance per year (COSTT4_A) fraction of students that are white (UGDS_WHITE) fraction of students that are black (UGDS_BLACK) fraction of part-time students (PPTUG_EF) fraction of students from low-income families, defined as annual family income < $30,000 (INC_PCT_LO) fraction of students above 25 years of age (UG25abv) fraction of first-generation college goers in the family (PAR_ED_PCT_1STGEN) fraction of students on federal loan (PCTFLOAN) 75% percentile score on SAT reading (SATVR75) 75% percentile score on SAT writing (SATWR75) 75% percentile score on SAT math (SATMT75) tuition fee per year for in-state students (TUITIONFEE_IN) tuition fee per year for out-of-state students (TUITIONFEE_OUT) I collect these variables in an R data frame and examine them for availability, integrity and correlations. The SAT scores are privacy-suppressed for the majority of cases, yielding <500 records in 2011. So I decide to leave them out. Tuition fee per year for both in-state and out-of-state students is highly correlated with the total cost of attendance per year, as expected (correlation coefficients > 90%), so the tuition fee variables are excluded. Finally, the fraction of white students has a very small correlation with the VOI, so that this is excluded as well. That leaves me with 8 training variables and 1143 events to train with. I examine the correlations of these variables with the VOI, and among themselves as necessary. The correlations look like: Variable ---------------------- Correlation coefficient with VOI ADM_RATE_ALL------------ 0.22 COSTT4_A ------------------- 0.57 UGDS_BLACK -------------- -0.35 PPTUG_EF ------------------ -0.40 INC_PCT_LO --------------- -0.64 UG25abv ------------------- -0.47 PAR_ED_PCT_1STGEN-- -0.65 (has a 74% correlation with INC_PCT_LO) PCTFLOAN ---------------- -0.18 2D scatter plots for ADM_RATE_ALL, COSTT4_A, INC_PCT_LO and PAR_ED_PCT_1STGEN are shown above. First, I train a single decision tree using the 'rpart' library with default training parameters. The most discriminating variables are seen to be: fraction of students from low-income families (INC_PCT_LO) total cost of attendance per year (COSTT4_A) fraction of first-generation college goers in the family (PAR_ED_PCT_1STGEN) rate of admission (ADM_RATE_ALL) I evaluate the performance on the 2013 data. I define a correct prediction as the predicted completion rate for a given college being within 10% of the actual rate in 2013. The performance of a single tree is not very good: 64% of predictions are correct. I then train a random forest of trees, again using default parameters. The four highest ranked variables, using the importance() function, are: fraction of students from low-income families (INC_PCT_LO) fraction of first-generation college goers in the family (PAR_ED_PCT_1STGEN) total cost of attendance per year (COSTT4_A) fraction of students above 25 years of age (UG25abv) The performance is better: 76% of predictions are correct. Finally, I train an SVM using the 'e1071' library using default parameter values. The performance is comparable with that of the random forest: 74% of predictions are correct. But a tuning of parameters would yield better results with this method. Rplot005.png above shows the number of colleges as a function of the completion rate, from the test data, from the random forest prediction and from the SVM prediction. Clearly, both methods perform badly for large values of the completion rate. The next step in the analysis would be to look at distributions of the training variables separately for low and high completion rates, and try to understand why the training is poorer in the latter case. As I commented in a separate post: [Link]:https://www.kaggle.com/lkashif/us-dept-of-education-college-scorecard/earning-vs-school-financial-parameters the data are not very reliable owing to the large number of privacy suppressions. To get an idea of the spread of the data (statistical and systematic components convolved), I ran the test on 2009 data. The fraction of correct predictions are thus: random forest: 65% SVM: 69% which are within ~10% of the 2013 numbers. The important conclusions of this study are not the performance of the MVAs, but the factors that they show to affect program completion rates the most. In general, they agree with our naive expectations as to why someone may fail to complete a college program.",1,bronze,2,Sun Oct 04 2015 13:41:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16810,None,None
/zygmunt,People of Kaggle! Unite behind this new mighty pandas script!,"For far too long haz dis community been divided and fragmented. Time to change that! It doesn't matter whether it's state or school holiday, or what day of week it is, or if it's this store or that. All that matters is that together we can move up the leaderboard. Victory for all! [Link]:https://www.kaggle.com/zygmunt/rossmann-store-sales/predict-sales-with-pandas-py/code",2,bronze,2,Sun Oct 04 2015 13:46:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16811,/competitions/rossmann-store-sales,759th
/paso84,XGBoost in python with RMSPE,"Hi, above you can see my current attempt of using xgboost with some validation on this problem. My question is: Why is the value I receive from rmspe not stable at all? (This script is simplified on my pc I use 10 fold cv, but the runtime is a bit long for kaggle scripts) It bounces from 0.12 to over 0.6 on LB this gives about 0.13862. Is it because I just randomly split the data for validation? I also tried to split the data on a time base, in this case train on old values and validate on newer ones, but this didn't help: The local value was again hugely different from LB. Or is my script just complete garbage and I should start from the beginning? Any help would be greatly appreciated. I'm quite a noob in this field. Thanks",2,bronze,13,Sun Oct 04 2015 14:46:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16812,None,None
/zotsing,Should the predicted target be binary too?,"This might be a very naive question, but I got a little confused. I looked through some sample scripts and saw that all the predicted target could be any number between 0 and 1, should it be either 0 or 1 or it does not matter ? Thanks",0,None,4,Sun Oct 04 2015 19:31:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16815,/competitions/springleaf-marketing-response,521st
/alexandrudaia,Is it  just me?Or?,,-2,None,6,Sun Oct 04 2015 20:02:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16816,/competitions/rossmann-store-sales,96th
/colinpriest,Background Information Leakage Using R,The script I'm actually using for the competition doesn't have the filenames coded by sequence like in this script. Instead I wrote a script that applies a median filter and then searches for images with similar median filter results. But that median filter search script takes longer than Kaggle's time limit. So here's a basic script to show how it's done in R.,0,None,1,Sun Oct 04 2015 20:57:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16818,None,None
/edmundowen,Queryable python database of logbook data,"I've created a queryable python database using the data from the CLIWOC15.csv file. At the moment, it only includes a subset of the available entry data, although it should be relatively easy to retrieve more entries from the csv file and make them queryable too. An example query is shown at the end of the script. I am happy for others to use this script in order to explore the data. If you find a bug or if you have any suggestions for improvements then I would be very grateful to hear about it. The result.png is a random query which returns the locations of Spanish ships which experienced rain and wind speeds of less than 10mps in the northern hemisphere. Now that I have this working, I hope to extract more climatological information from the data.",0,None,2,Sun Oct 04 2015 23:48:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16820,None,None
/logo403,4 Promo data fields?,"Under ""Get the Data"" tab, there is a data fields description with 4 Promo fields (see below) and I just have ""Promo"" in the train or test data sets. Am I missing something here? Promo - indicates whether a store is running a promo on that day Promo2 - Promo2 is a continuing and consecutive promotion for some stores: 0 = store is not participating, 1 = store is participating Promo2Since[Year/Week] - describes the year and calendar week when the store started participating in Promo2 PromoInterval - describes the consecutive intervals Promo2 is started, naming the months the promotion is started anew. E.g. ""Feb,May,Aug,Nov"" means each round starts in February, May, August, November of any given year for that store",0,None,4,Mon Oct 05 2015 00:59:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16821,/competitions/rossmann-store-sales,1442nd
/tobycheese,What models might be worth trying?,"I only very recently joined this competition, and as I am rather new to text classification, I am wondering what models people have success with. Are the usual suspects such as XGboost worth a try? I only yesterday finished my first model, with some preprocesssing, tf-idf and Naive Bayes, I reached around 0.785 in local cv. I'm already getting into memory restrictions, so apart from improving my preprocessing and doing more feature engineering, I plan to try various online learners from scikit next.",0,None,2,Mon Oct 05 2015 09:15:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16823,/competitions/dato-native,76th
/jamesweb1,Very slow when using Google pre-trained word2vec.bin in AverageVector?,"I try to replace my word2vec model by google's 3M-words with 300-dimensions, and it becomes very slow when doing vector operations. I load the google's '.bin' file by 'model = word2vec.Word2Vec.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True)' and it works fine when loading model. But It becomes very slow when getAvgFeatureVecs, I don't really understand the reason. Almost 20 mins for 1000 reviews only with respect to wordvec created by tutorials with 1 minute for 25000 reviews. They are both with 300 for dimension, and it should spend the same time for vector operations. Does anyone can give me a hint for this issue? Or any method to improve the speed when using google's pre-trained word2vec?",0,None,1,Mon Oct 05 2015 09:31:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16824,/competitions/word2vec-nlp-tutorial,None
/mardoe,RMSPE metric definition in R XGB scripts (improvement?),"Hi, I saw that many submissions are currently relying on an R XGB script, which contains a definition of RMSPE (after previous log-transformation) of: RMPSE<- function(preds, dtrain) { labels <- getinfo(dtrain, ""label"") elab<-exp(as.numeric(labels))-1 epreds<-exp(as.numeric(preds))-1 err <- sqrt(mean((epreds/elab-1)^2)) return(list(metric = ""RMPSE"", value = err)) } copy According to actual definition from Kaggle (in particular skipping ""0"" and considering the difference ""actual-predicted"", shouldn't it rather be RMPSEcorrected<- function(preds, dtrain) { labels <- getinfo(dtrain, ""label"") elab<-exp(as.numeric(labels))-1 epreds<-exp(as.numeric(preds))-1 epred<-epreds[elab!=0] elab<-elab[elab!=0] err <- sqrt(mean(((elab-epred)/elab)^2)) return(list(metric = ""RMPSE"", value = err)) } copy sorry if there is a misunderstanding from my side…",3,bronze,2,Mon Oct 05 2015 12:21:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16827,/competitions/rossmann-store-sales,10th
/del=3fb8d76c227b340a,Any one interested to team with this competitions,"Hello Everyone, I am new in Data Science, from last one month i am active on kaggle. I have knowledge of Machine Learning & R, Learning python now these days. I am looking for team mate, If some one interested please contact me [Link]:mailto:samariya.durgesh@gmail.com",0,None,1,Mon Oct 05 2015 12:41:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16828,/competitions/facial-keypoints-detection,None
/yejiming,Achieved top 10 by just running the code in script twice,And make a ensemble. This is what I've done. lol,0,None,4,Mon Oct 05 2015 13:50:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16829,/competitions/rossmann-store-sales,960th
/chinskiy,How to delete Kaggle in Class competition,"Hi. I accidentally create 2 competitions in my Kaggle account, and can't find option how to delete one of them. Can someone help me?",7,None,5,Mon Oct 05 2015 13:57:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16831,None,None
/salahuddin,Visualizing NA values,"I tried to make a plot here but gave me an error error `Quitting from lines 6-21 (Preview-6e0674c4bec.Rmd) Error in image.default(t(basic.mat)[, ncol(basic.mat):1]) : 'z' must be numeric or logical Calls: … withVisible -> eval -> eval -> image -> image.default Execution halted` gc() used (Mb) gc trigger (Mb) max used (Mb) copy Ncells 2077509 111.0 3188670 170.3 3108013 166.0 Vcells 306632506 2339.5 614921526 4691.5 614902262 4691.4",0,None,2,Mon Oct 05 2015 14:11:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16832,None,None
/eidanch,Validation and submission scores,"Hello! I am getting a very big difference in the scores between the cross validation of my model (sklearn.cross_validation.cross_val_score), and the test data in the site. Its a pretty big gap of ~0.1 (validation score: 0.822, submission score: 0.727). I wonder what could create such a gap ? is it possible I am doing something wrong ? is the train set not faithfully representing the data in the test set ? If this kind of stuff just happens, how should I decide which models are better ? Thanks! Eidan. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95132/3040/run.py",0,None,4,Mon Oct 05 2015 14:34:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16833,/competitions/titanic,None
/santhoshshetty,Open is blank in test file for store 622,Do we need assume 0 for this column Open in test data file for store 622 is blank Is the store closed meaning open=0? is it the right assumption ID=480 1336 2192 3048 4760 5616 6472 7328 8184 9040 10752,4,bronze,3,Mon Oct 05 2015 14:56:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16835,/competitions/rossmann-store-sales,1915th
/bishwarup,Drastic variation between CV and LB,"Hello everyone, This is my first competition in Kaggle. I have been doing quite a lot of feature engineering and hyperparameter tuning in the xgboost model. But there is a very peculiar catch in the fact that I have performed a 4-fold CV on the training dataset and each time my model scores > 0.804… but in LB it is as low as 0.788.. I have been looking into the issue for a few days now but with no clue what I am doing wrong. I would appreciate any type of help and input from you on this. Is there anyone else who has encountered such a large variation between local CV and public LB? Thanks. EDIT: I did a random 70-30 split for all the CVs.",0,None,17,Mon Oct 05 2015 16:42:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16836,/competitions/springleaf-marketing-response,27th
/wildwizard,Promo and Promo2:,"Hello I am wondering about promos: does the binary promo feature include the days where promo2 is active in addition to any marginal promotions, or only marginal promotions, outside of promo2 program? Thanks by advance",2,bronze,2,Mon Oct 05 2015 16:50:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16838,/competitions/rossmann-store-sales,183rd
/h0ssein2011,Sample data train,hi Is there anyone do me a favor and upload somewhere random about 2 million rows of train data for just some practice? because my laptop memory is slow and I think I would not be able to open all train data set thanks,0,None,3,Mon Oct 05 2015 17:12:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16839,/competitions/avazu-ctr-prediction,None
/cast42,RandomForest,"Hi, thx for sharing. I added two lines such that the plot with feature importance is saved in a png. After running on Kaggle, you can see the plot. See: [Link]:https://www.kaggle.com/cast42/rossmann-store-sales/randomforest I think that you must remove the data from stores that are not open. Kind regards, Lode",1,bronze,1,Mon Oct 05 2015 18:11:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16841,None,None
/del=cdd1f21c315be63d,Member needed for a team,"Hi We are two students, Mohit (MSc student at University of Zurich) and Seyed (Phd student at University of Zurich) and we are looking for a third person to join our team. looking forward to work with you :). Best Mohit and Seyed",0,None,18,Mon Oct 05 2015 19:00:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16844,/competitions/eth-machine-learning-2015-project-1,None
/fatrabb1t,"DEEP COOKING (C++, How to get 0.7+ in 10 seconds)","We can know that there are 20 cuisines in total. So, it is easy to think that each ingredient has its weight of contribution to each cuisine. So, I create a simple data structure like this: struct Ingredient { int appear_time[20]; //time of appearance in each cuisine string name; double weights[20]; int total_appear_time; //appear_time[0]+...+appear_time[20] }; copy For each meal, if n is the count of ingredients, which create a cuisine numbered m, then weights[m] += 1.0 / n. After scanning 30000+ meals in train.csv, for each i from 0 to 19, weights[i] /= appear_time[i], weights[i] *= (appear_time[i] / total_appear_time + 1) * (appear_time[i] / total_appear_time + 1) -0.9. After that, you can use the weights of ingredients to gain more than 0.6. How can we gain 0.7? A simple self-correct algorithm is needed. We can use our result to test meals in train.csv. If we get wrong result cuisine n which should m, we can slightly increase the weights[m] and decrease weights[n]. How slight is not very important, which influences the matter of ""0.705 or 0.715"". Run the above process for many time until you cannot see obvious increase in correct rate, it would not take so much time. I am about to start learning R and python, which will lead me to a normal way of data mining. Maybe I won't invent such a funny way in the future.",0,None,2,Mon Oct 05 2015 19:36:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16845,/competitions/whats-cooking,93rd
/aymenj,Interested in teaming up,"Hey Guys, This competition seems really interesting and I wanted to team up with someone. Some background: I'm a data scientist in a NY startup (1.5yr). I have experience in Python, R and Java. Let me know! Thanks, Aymen",1,None,17,Mon Oct 05 2015 19:39:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16846,/competitions/rossmann-store-sales,None
/ngergoo,Missing data in test dataset,"I've noticed that data is missing from the test dataset regarding the 'Open' label, in the following rows: 480,1336,2192,3048,4760,5616,6472,7328,8184,9040,10752 Every rows are for store nr. 622. Should we just put '0's or '1's in these rows?",0,None,2,Mon Oct 05 2015 20:52:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16847,/competitions/rossmann-store-sales,1943rd
/darraghdog,Save and build on xgb later,"Hi Folks, Is there any way to save an xgb model and keep building on it later… ie. build up 100 iterations, dump the model using xgb.save.raw, and later on reload the model and add another 100 trees to it using the same training set ? Any example script would be appreciated; or even just a script to pause building a model, make a predction, and come back to it and add more trees. I thought this may be possible, but could not see an example….",0,None,4,Mon Oct 05 2015 22:08:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16848,/competitions/springleaf-marketing-response,30th
/rztv001,Deriving Variables ,"Hi, did anyone succeed in deriving Variables like ""Last day closed"" or next2day closed"" ? I tried it, but all derived variables had a very low importance.",0,None,2,Mon Oct 05 2015 23:24:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16849,/competitions/rossmann-store-sales,654th
/bluebird2015,"Code Quality for somebody who is ""freshers"" in R/Data Science","I am very much novice in this part of world called Data Science and R. This is one of my first few R scripts. I was recommended to design a R program which meets the following requirement:- 1) Script will find out AUC value of all some selected Column(given as input) of a XGBoost Model (after some preliminary cleaning of DATA like replacing NA->-1 and “” by NA) 2) Initially, program should consider set of all selected columns (say no of columns = x) and evaluate AUC (say auc_base) .This is the base AUCvalue. 3)Remove 1 column from the list of columns. Now, no of elements in the list of columns = x-1 Find out AUC of this combination(consisting of x-1 columns) say auc_afterRemoval. a)If the auc_afterRemoval value is greater than auc_base, make a comment : this Variable should be removed as AUC INCREASES WHEN VARIABLE IS DROOPED b) If the auc_afterRemoval value is less than auc_base, make a comment : this Variable shouldn’t be removed as AUC DECREASES WHEN VARIABLE IS DROOPED 4)Repeat Step 3 for each column of the list and print all AUC values/Comment in each iterations. This programs works perfectly giving wonderful output. But how’s the quality of the code? Previously I was a Java Programmer. Is this looks like a Java Code wrapped in R ? Is there any areas of improving this code much significantly? Can I find any alternative of this design for comparing the AUC values ? So want some expert comments here.(also attached code and a sample Output) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95198/3044/Code.r [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95198/3045/OUTPUT.csv",0,None,4,Mon Oct 05 2015 23:41:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16850,/competitions/springleaf-marketing-response,None
/quantmike,Data Size,"Hello everyone, I'm curious about how to handle the size of the data. Are most people just putting it into memory, or using some free cloud service?",0,None,8,Mon Oct 05 2015 23:41:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16851,/competitions/how-much-did-it-rain-ii,None
/grigorydymov,Team?,"Dear fellow kagglers, Is there anyone who would be interested in teaming up?",0,None,2,Mon Oct 05 2015 23:54:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16852,/competitions/dato-native,19th
/nigelessence,Experiences from a newbie,"Well, not exactly a newbie, I have been doing scientific programming and non linear regression and optimisation for 45 years or more. My recent interest has been in uncertainty quantification of large computer models, where I have a software product which uses polynomials, Gaussian Process, and Hamiltonian Markov Chain Monte Carlo methods. I work in oil industry. Oil patch is going through one of its regular dips, so I was curious about other ways to make money and learn new skills (in that order). So here I am. I have quite a lot of R experience, but for various reasons I now do everything in Java, and I have a Java implementation of lots of components which would go into my submission. Given where I am coming from, my approach is to use Bayesian ensembles of logistic regression models, with features chosen by evolutionary algorithms. So, experiences so far: everything done on i7 laptop with 8 MB. data set is large, reading into R was problematic, so I quickly went straight to Java and create lookup tables while reading the data In order to reduce memory. A couple of tweaks necessary on my Java csv parser.",2,bronze,86,Tue Oct 06 2015 00:32:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16853,/competitions/springleaf-marketing-response,None
/nigelessence,test data set,"I am new to these competitions, and haven't yet examined it, but what does the test data set look like in terms of NA's ? I eliminated NA's from the training set, but if I use a variable which has an NA in the test set, it will cause problems. What about the competition test data set? Will it have NA's? Presumably in the real world NA's abound.",0,None,1,Tue Oct 06 2015 00:51:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16854,/competitions/springleaf-marketing-response,None
/dietcoke,"November, 2008",Logistic regression picks this month out as predictive. Perhaps not surprising given the recession? It also likes zip code dummies. I wonder whether the housing crisis is problematic for out-of-sample prediction.,0,None,1,Tue Oct 06 2015 02:55:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16855,/competitions/springleaf-marketing-response,922nd
/jrings,The city in Germany is Hannover...,not Hanover…,-2,None,3,Tue Oct 06 2015 04:44:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16857,/competitions/rossmann-store-sales,594th
/toeinn,Clarification about cognate data format and its meaning,"I notice that the description on the ALTA page mentions that there are two lines for each document in the csv file. However, the files provided have only one. So, my question is, assuming that we are actually using one line per document, are we aiming for: full cognates only, or both partial and full cognates, or just whether a cognate word makes sense in the context of the document?",0,None,2,Tue Oct 06 2015 07:50:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16858,/competitions/alta-2015-challenge,4th
/bekbolatov,Natural Language Processing - Word2Vec,Has anyone tried incorporating Word2Vec into the model?,0,None,1,Tue Oct 06 2015 08:54:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16859,/competitions/dato-native,61st
/zero0g,Score 0.00? Seems legit,what??,0,None,3,Tue Oct 06 2015 14:44:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16860,/competitions/eth-machine-learning-2015-project-1,89th
/ventouris,Looking for Kaggle Mentor,"Hi everyone from a new Kaggleeer :) I spent a while on Kaggle trying a couple of old and new competitions. Unfortunately, I was able to reach half of the LBs, but after that, I couldn't improve my script any more. I use Python and I was wondering if there is anyone who would like to spend some time on chat (Skype etc) as a mentor. I was thinking that I could try some competitions myself and then discuss what I did wrong and what else I could do to improve my score. Don't expect more than 30-60min per 15 days.",0,None,1,Tue Oct 06 2015 16:01:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16861,None,None
/breakfastpirate,Thoughts on validation/testing/overfit,"One thing I’m doing to test various ideas is to validate on data from July 2015 and train on data from before July 2015. This seems like a more true-to-life validation than randomly dividing the data into training/validation. In terms of some of the xgb scripts floating around, this would be: h <- which(train$year==15 & train$month >= 7) instead of: h <- sample(nrow(train),10000) One thing I’ve noticed is that the results on this validation set can vary fairly widely even when something as small as the random seed is changed. So this made me ask a couple questions: How do I know that my score on the leaderboard is not simply due to a “lucky” random seed (a seed which might not be “lucky” when the private leaderboard is revealed)? When I tune algorithm parameters or add new features, how do I know that the change in the validation score is not just noise? (i.e. the parameter tuning took the algorithm down a different random path akin to a different random seed.) To address #1, I run my script 5 times with 5 different random seeds and ensemble (submit the average). This hopefully reduces the chance of the score being based on a “lucky” seed. It also improved the leaderboard score. To address #2, whenever I try a change to parameters/features, I run it with 10 different random seeds and average. This hopefully reduces the effect of noise and tells whether the change is truly an improvement. Any other suggestions on how people are dealing with these issues?",12,gold,37,Tue Oct 06 2015 16:35:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16862,/competitions/rossmann-store-sales,92nd
/yetiman,NLP vs. Structural Analysis?,"I hadn't intended to join the Dato competition, but after reading a few posts about how the competition was languishing (too few teams, data leakage), and taking the ""quick & easy kaggle points"" bait (LOL), I figured I'd throw something together just to see how it fared. Since data prep for NLP (creating bags-of-words/ngrams, applying TF/IDF, word2vec, etc.) tends to be time-consuming I instead parsed all the files using a public domain HTML5 parser and created lots of simple features based on html/css/javascript analysis. I also pulled out the domain names of any URLs I found. From this pile of potential features I selected the 1000 most prevalent, produced an unoptimized model (with no CV or parameter tuning or anything, just seat-of-the-pants) and sent in a submission. Which put me in 36th with a score of 0.96664. Since I had completely ignored the ""word"" content I was quite surprised. And I imagine it might be possible to squeeze out another 0.01 through optimization and such (which would put me ~20th). So my question: Are other competitors using a similar approach, or are the prevailing models NLP-based?",9,silver,4,Tue Oct 06 2015 18:20:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16863,/competitions/dato-native,47th
/tonyromarock,"Where are the 66,772 instances?","Hi, this is my first time participating in a competition and I am quite confused on what are the files I am supposed to test. The folder 5, that as far as I understood contains the files I am supposed to predict, only contains 1,236 text files. Even when adding up the total txt files of all folders (0,1,..,5) doesn't even come close to a total of 66,772. What am I supposed to submit? Should I only make changes on the text files ""sampleSubmission_v2.csv"", that are also found in folder 5, since no submission can be made without containing at least 66,772 predictions? Thanks in advance, Peter",0,None,7,Tue Oct 06 2015 19:29:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16865,/competitions/dato-native,191st
/algorithmor,Significance of undefined CompetitionDistance values??,What should be done in cases of stores that have the CompetitionDistance as Blank/Null. Can we treat these as no competition exists??,2,bronze,5,Tue Oct 06 2015 19:47:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16866,/competitions/rossmann-store-sales,None
/sashakir,PromoInterval,"Hi, Any usage of the variable ""PromoInterval"" in the analysis. Should we use this variable.",0,None,14,Tue Oct 06 2015 19:58:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16867,/competitions/rossmann-store-sales,None
/skorotkov,SchoolHoliday,"Hi, Not sure what the SchoolHoliday means. Data description says that it ""indicates if the (Store, Date) was affected by the closure of public schools"". The train data contains all combinations of Open and SchoolHoliday fields and thus both open and closed store may be either ""affected"" or ""not affected"". It looks like school closure doesn't mean that store will be closed as well. So do I understand it correctly that nature of the ""affect"" is not known and this field just means that some human expert decides that data for this particular (Store, Date) was ""somehow"" affected by fact that schools were closed that day?",1,None,3,Tue Oct 06 2015 20:24:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16868,/competitions/rossmann-store-sales,1164th
/nikhilhegde9,Promo2,Whats the difference between Promo and Promo2?,-2,None,1,Tue Oct 06 2015 21:47:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16869,/competitions/rossmann-store-sales,1570th
/argento,Store Managers' predictions,"Hello, It would be interesting to also have the store manager's prediction of the store's sales. Isn't it? Regards",2,bronze,1,Tue Oct 06 2015 22:23:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16870,/competitions/rossmann-store-sales,2467th
/andrelopes1705,"Looking for team members ( Python , Convolutional neural networks )",Im looking for friendly people to team up on convolutional neural networks with python and theano ( lasagne ) . I already reached a nice score but im trying to improve it even more! If you are interested just post!,0,None,4,Tue Oct 06 2015 23:56:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16871,/competitions/digit-recognizer,None
/sidreddy,Academic Research,"Would it be acceptable to use this data set for academic research on probabilistic models for personalized online learning? Specifically, do we have permission to publish results based on analyses of this data set from Grockit?",0,None,1,Wed Oct 07 2015 09:44:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16874,/competitions/WhatDoYouKnow,None
/haikane,AUC loss v.s. logloss - XGBoost,"Could somebody help me out with interpreting what it generally means when auc test loss on the holdout data (cross validation) is improving, while the logloss is deteriorating. To my understanding: AUC (ROC) improves when the order of the predictions becomes more correct. And logloss deteriorates when there are more confident false predictions. So does the pattern below mean that the classifier is classifying more in the correct order, but with the cost of being overconfident and wrong more often too? Thx a lot, I'd love to know how to interpret this pattern, I see it often. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95357/3059/Screenshot 2015-10-06 19.43.35.png",3,bronze,10,Wed Oct 07 2015 12:10:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16875,/competitions/springleaf-marketing-response,1059th
/xueyongfu,How to deal with categorical data?,"There is a lot of categorical data in this competition. I saw many players transform it to numerical data by label encoder. But it will lose its representation. (Ex: New York =>1, Chicago =>2) New York definitely is not equal to Chicago multiply two. I try to use one-hot encoder. Unfortunately, when I transform the real test data by one-hot encoder , its dimension will be differ from training data. The reason is easy to understand. Take city as a example. If there is only ""New York"" in the training data, and there are ""Chicago"" and ""London"" in the test data. After one-hot encoding, we will get two total different vector space. Therefor, we can not use the classifier training by the training data to fit the test data, because there dimension and order are different. I really have no idea how to do better than label encoder.",2,None,8,Wed Oct 07 2015 14:07:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16876,/competitions/springleaf-marketing-response,1806th
/thakurrajanand,External Data Repository,Please use this thread to post all your external data.,7,silver,68,Wed Oct 07 2015 18:25:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16877,/competitions/the-allen-ai-science-challenge,None
/carissas,Welcome!,"Welcome to the Allen AI Science Challenge! My name is Carissa Schoenick and I am a program manager at AI2 working on Project Aristo. Myself and other researchers on our team will be here to answer questions throughout the course of the competition. Thank you for your participation, we are looking forward to an exciting and interesting competition!",9,silver,10,Wed Oct 07 2015 18:35:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16878,/competitions/the-allen-ai-science-challenge,None
/wildwizard,public LB calculation split rate,Did everyone noted that public LB calculation is based upon 61% of data and 39% for private LB? This is the first time I read such thing. Is it a mistake or is it real? Thanks.,-1,None,9,Wed Oct 07 2015 18:58:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16880,/competitions/rossmann-store-sales,183rd
/rahulkulhari,is someone trying word2vec or neural network ?,,0,None,6,Wed Oct 07 2015 19:23:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16883,/competitions/the-allen-ai-science-challenge,None
/estraube,Most Controversial Subreddits,Great Script!,0,None,1,Wed Oct 07 2015 20:23:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16885,None,None
/jiweiliu,This leaderboard is calculated on all of the test data,"Dear Admin, is it true? I am not sure it is a good idea .. Edit: Sorry, I didn't finish reading the rules.. It is well explained there.",0,None,3,Wed Oct 07 2015 20:36:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16886,/competitions/the-allen-ai-science-challenge,None
/deepakgeorge,What are the best practises for hyper-parameter tuning?,"Hi I was using GBM from scikit- learn in this competition & each time i make an update ( adding new feature, fix bugs, or try different way of creating training dataset ) I was using running randomized grid search cv to tune GBM in scikit learn. I set n_iter at 100 with 5 folds & it was taking some 6+ hours on my laptop each time. I realize that this is not the optimal way to approach hyper parameter tuning. What are the best practices for hyper parameter tuning? Initially Is it better to use some suitable values for the hyper-parameters based on understanding of the algorithm( eg: typical value of learning_rate can be <0.1 & not > 0.9) without any grid search CV to save time. And after I finalize the features then only spend time on randomized grid search cv to fine tune the hyper parameters? How to tune xgboost? Scikit -learn is having RandomizedSearchCV() function to tune GBM. But doesn't look like xgboost is having a similar function. So how to tune hyper-parameters of xgboost? Is the best approach to write code to replicate RandomizedSearchCV() for xgboost? For you In this competition how much % increase in map@10 did hyper-parameter tuning gave compared to not systematically tuning hyper-parameters? Thanks",0,None,2,Wed Oct 07 2015 21:10:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16887,/competitions/coupon-purchase-prediction,103rd
/kenthuang,Why are my columns ImageId and Label NOT found?,"My script of Digit Recognizer was submitted several times. A same error message was returned each time that the required columns named ImageID and Label are not found. However, on my local computer, the script generates a result.csv file with these two columns (with the field names also). By the way, I have a small question. In the result.csv, there's always a blank row following every line written in. How to avoid a blank row? The code is attached. Thank you.",0,None,1,Wed Oct 07 2015 21:55:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16889,/competitions/digit-recognizer,None
/benhamner,Enabling Scripts on this competition,I'll be enabling Kaggle Scripts on this competition soon. Are there any specific datasets that you'd like me to add to the Scripts environment?,4,bronze,4,Wed Oct 07 2015 22:29:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16890,/competitions/the-allen-ai-science-challenge,None
/carissas,Reminder: Questions in this contest should not be published or shared,"Hi everyone, A reminder that the questions in each of the datasets provided with this competition should not be published, recreated, or otherwise shared with anyone other than yourself/your team for the express purposes of this competition. Please respect this restriction and do not publish questions from these datasets in any format, including through the KaggleScripts feature. From the competition rules: ""You acknowledge and agree not to share any source exam questions provided through the competition to parties other than yourself. Any and all competitors are free to publish summary and analysis information as a result of the Competition, but you agree not to share, distribute or otherwise make known any source exam questions. You will make no attempt to identify the source of any exam questions in any of the Competition data sets."" Thank you!",6,silver,8,Wed Oct 07 2015 23:00:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16891,/competitions/the-allen-ai-science-challenge,None
/usixuz,Related materials,"This is a nice blog about《Survey on Attention-based Models Applied in NLP》 [Link]:http://yanran.li/peppypapers/2015/10/07/survey-attention-model-1.html Attention-based models are the new trend in DL. Deep Learning for Answer Sentence Selection [Link]:http://arxiv.org/pdf/1412.1632v1.pdf Memory Network [Link]:http://arxiv.org/abs/1410.3916 Memory Network [Link]:http://arxiv.org/pdf/1503.08895v4.pdf Talk from FB AI research about the MemoryNN, where they have simpler questions but covers broader topics. [Link]:https://cs224d.stanford.edu/lectures/CS224d-Lecture12.pdf",11,silver,27,Thu Oct 08 2015 00:20:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16892,/competitions/the-allen-ai-science-challenge,82nd
/crazydonkey200,Noise in Validation set? ,"Hi, I downloaded and skimmed through the validation set. There seems to be some random phrases mixed in the question text, but the training set looks fine. For example, 102825 __ are is removed from the killing Americans today the human body? anemia liver seeds aspirin 102783 Which objective of a biodiversity can killing Americans today skeleton of many sponges? heart disease 10× north Pole setae Is it designed to contain those noises or have I downloaded the wrong file? Thanks.",0,None,3,Thu Oct 08 2015 03:23:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16894,/competitions/the-allen-ai-science-challenge,None
/iamknagesh,How to transform dependent variable so as to turn a regression into a classification?,"I've recently read Qingchen Wang's(winner of Liberty Mutual Group challenge) interview on kaggle blog where he mentioned, ""The key to my result was that I also did binary transformation of hazards which turned the regression problem into a set of classification problems."" How did he accomplish that?",1,None,5,Thu Oct 08 2015 09:43:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16899,None,None
/altrav,Saving sklearn Random Forest model,"Hello all, does anybody know how to efficiently save sklearn RandomForest model? I use pickle.dump and it results in model files of the size 2-3 GB (for 5000 trees on springleaf data).",0,None,6,Thu Oct 08 2015 11:08:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16900,/competitions/springleaf-marketing-response,149th
/whyjono,What's the format of submission for this week?,"Considering that the submission is expecting 100 predictions, how do we differentiate between a week 5 estimate vs week 6 estimate?",0,None,4,Thu Oct 08 2015 14:13:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16902,/competitions/think-big-usyd-semester-2-2015,219th
/quang123,Problem with the tutorial,"When running the tutorial on RStudio, I have the following warning message: cannot allocate vector of size 5.4 Gb copy after the merging command: submission <- merge(example.submission, submission, all.x=T, sort=F) copy I'm running the code on a 64 bit version of RStudio 3.2.0 (2015-04-16), and on a Thinkpad X250 with 4GB Ram, Core i5-4300U CPU @ 1.90GHz (4CPUs), ~2.5 GHz. Anyone has the same problem?",0,None,1,Thu Oct 08 2015 16:32:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16904,/competitions/facial-keypoints-detection,None
/wcukierski,"Clarification on ""future"" external data","Hi all, We've gotten a few questions/concerns about the applicability of models if you use external data that is not available at the time of forecast. Rossmann understands the pros and cons of allowing such external information and is comfortable with the competition setup. We believe the anonymization and limited dataset detail makes the downside risks more hypothetical than actual. Thanks for asking and for keeping the host's best interests in mind. Don't forget to post your external data to the forums if you use it.",19,bronze,9,Thu Oct 08 2015 18:07:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16905,/competitions/rossmann-store-sales,None
/carloshuertas,New team up mode?,"Just kidding buddies, but…. that's not the right way to team up… [Link]:http://s30.postimg.org/twdqtoi3l/Wrong_Team.jpg Strictly speaking you may be disqualified… but I guess it can be fixed by a quick read [Link]:https://www.kaggle.com/wiki/FormingATeam",2,bronze,3,Thu Oct 08 2015 18:11:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16906,/competitions/rossmann-store-sales,607th
/piyushjaiswal14,30% stores have NA Values for Competitor History,"The variable CompetitionDistance has only 3 NA values in Store dataset. That is quite manageble i think using imputation. Can anyone tell me how to handle NA values in variable CompetitionOpenSinceYear & CompetitionOpenSinceMonth for 354 stores (almost 30% of the stores)? I thought of replacing it by a dummy category. Will it be correct to do? Especially since we cannot guarantee from the plot which i have attached that sales across all stores for that dummy category (NA in the plot) to be following a definite pattern, so it could have come from multiple other categories which already exist. Or should i not be bothered i.e these 2 variables are not that important for the target prediction. Please let me know your thoughts on this [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95530/3068/Competition vs Sales.png",0,None,1,Thu Oct 08 2015 21:00:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16907,/competitions/rossmann-store-sales,2800th
/alexmulo,Evaluation function,"Hi guys, some people are using this function such this in the script section: def ToWeight(y): w = np.zeros(y.shape, dtype=float) ind = y != 0 w[ind] = 1./(y[ind]**2) return w def RMSPE(y, yhat): w = ToWeight(y) rmspe = np.sqrt(np.mean( w * (y - yhat)**2 )) return rmspe copy Can some one explain me please, why they are using the function ToWeight instead of writing something like this? def rmspe_metric(act,pred): import numpy as np return np.sqrt(np.mean(((act-pred)/act)**2)) copy Thanks a lot",1,bronze,3,Thu Oct 08 2015 21:04:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16908,/competitions/rossmann-store-sales,898th
/datacanary,IPython notebooks available (Masters-only at first),"We've just added a new feature to [Link]:https://www.kaggle.com/scripts that we're super excited about: live IPython Notebook sessions. So now you can tinker with your script without having to re-run the whole thing each time! [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/3069/notebook.gif The notebook editor is only available to Kaggle Masters while we polish it, but we're looking forward to releasing it to everybody soon. To start a notebook session, select ""IPython Notebook"" from the language menu on the ""New Script"" page. The final rendered notebook needs to meet the usual requirements for a Script: at most a 20 minute runtime, and 512 MB of disk space. When you're running it live, each cell gets 20 minutes max to run, so you've got plenty of space to play around. The notebook session will time out after 20 minutes of inactivity, or 6 hours total. We can't wait to see the cool notebooks that you create on our live competitions and public data sets! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95534/3069/notebook.gif",10,gold,2,Thu Oct 08 2015 22:23:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16909,None,None
/bekbolatov,GraphLab Create license - after the competition is over,"Can we get a clarification on the GraphLab Create license. I don't remember exactly, but do we get a free license if we use it in this competition? I was hoping to keep the license after the competition is over. Your GraphLab Create trial expires today. If you want to keep using Dato, but haven't gotten around to looking into license options, you can find full product details here.",0,None,2,Thu Oct 08 2015 22:43:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16910,/competitions/dato-native,61st
/carissas,Rule clarification regarding web searches/APIs,"Hi everyone, We received a question about the use of web searches/APIs in models, so we wanted to take this opportunity to clarify the rules about what models can and cannot contain. Please remember this is an open source competition, and models must be self-contained and runnable/verifiable by a third party. We are going to add the following clarification to the contest rules to make sure this is explicitly stated: In order to be eligible for prizes, submitted models must run standalone without requiring internet connectivity (e.g., no use of runtime web searches or web APIs)."" Let us know if you have any further questions about this, and thanks again for your participation!",4,bronze,11,Fri Oct 09 2015 00:15:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16911,/competitions/the-allen-ai-science-challenge,None
/ahlmann,Society of Minds,"Idea: Society of Minds One theory in neuroscience is that we have a society of minds, a large group of agents that all specialize in different tasks. Then a problem is given to all of them, and a ""hypervisor"" decides which agent has the highest confidence/chance of being right. create many different solvers and let them all at the question categorize/cluster/… the questions to train which agents/solvers have the best chance with which type of question identify subject matter for clustering ""agents"" must convey a sense of certainty about their prediction, so that we can take that into account when choosing the best agent Clustering create some features to distinguish between different question types (hasQuestionMark, hasHoleInIt, startsWithAQuestionWord, hasMultipleSentences, etc.) differentiate different answer types (sequence, word/term, sentence, number, number+unit, etc.) additionally/alternatively cluster questions into question types Search some questions we can probably do term extraction and do four searches against a corpus (terms + answer) and prioritize by (n-grams, proximity, number of occurrences) unfortunately in some of the cases all four answers will colocate in i.e. wikipedia articles/paragraphs, so our edge here would be very slim, and we would need a very powerful search that will pick up on proximity/colocation/patterns (word2vec, etc.) In some cases it will probably work to ""plop"" each answer into the question, turn it into a sentence and run it against a huge corpus. Google or Wolfram Alpha would be ideal, but obviously missing the point probably need competing search mechanisms as well (TFIDF, full text, limit to extended YAGO synsets, etc.) NLP use NLP (i.e. NLTK) to POS tag and understand subject, predicate, object use wordnet, YAGO to extract/inject semantic information Complexity many of the questions won't be answerable without ""understanding"" the question word2vec, collocation, question clustering, etc. will give a slight/medium edge over chance, but I doubt they will get us significantly over 50%… single word/term answers are probably easier than sentence answers what kind of a fact database/ontology are ibm watson and wolfram alpha using? how to train word2vec? consider finding relevant wikipedia articles by text search, and then training word2vec on result set?",5,silver,2,Fri Oct 09 2015 01:16:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16914,/competitions/the-allen-ai-science-challenge,24th
/genopharmix,"IBM Watson Jeopardy Challenge, similarities and differences",Any ideas on what might be some of the similarities and differences in the approach the IBM Watson team took with the Jeopardy challenge and this one?,0,None,12,Fri Oct 09 2015 01:49:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16915,/competitions/the-allen-ai-science-challenge,None
/usixuz,Does that competition counts for points?,"I am confused that in the regulation, it's not said that playground competition will not count for the points.",0,None,2,Fri Oct 09 2015 08:23:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16918,/competitions/denoising-dirty-documents,5th
/sh1ngg,Looking for a teammember(s) top 10%,python preferred who made some progress in feature engineering I've a powerful server with 64Gb plus today I'm going to assemble my new desktop(i7-6700k 32Gb) and we can try to find best hyperparameter for a joined model. vladimir.ovsyannikov [at] gmail,2,bronze,4,Fri Oct 09 2015 10:30:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16919,/competitions/springleaf-marketing-response,81st
/yejiming,This match seems really exciting,A lot of space to apply ML techniques. And the result can be meaningful. Can't wait to know the score of winners.,2,bronze,5,Fri Oct 09 2015 11:26:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16920,/competitions/the-allen-ai-science-challenge,19th
/cosmin,H2O Starter GBM lr .015 cut 70,I'm not quite sure I understand this step: expm1(predictions$predict)0.5 + submission$Expected0.5 We are combining the gbm result with the marshall palmer result - but why exactly 50-50 ? Is this just a gut feeling or is there some argument behind it?,0,None,3,Fri Oct 09 2015 11:48:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16921,None,None
/selmiy,predict_sales_with_pandas.py,"hello , thanks for your script , how can you test the accuracy of your method ? I think that we should use some technique of machine learning like regression or others methods in order to take care of prediction quality , did you agree with me ? thank you very much for your attention and sharing of your knowldge",0,None,11,Fri Oct 09 2015 14:54:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16922,None,None
/ma2rten,CK-12,"There are bunch of CK-12 text books, did someone figure out which ones are the most relevant for this challenge?",0,None,13,Fri Oct 09 2015 15:58:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16923,/competitions/the-allen-ai-science-challenge,None
/jaegdschloess,Form team?,Would you like to join forces? R preferred. Progress in 1) stacking and 2) feature engineering. Would also consider some other unique approach. I'm presently #23 on LB. This is my second Kaggle endeavor so I'm learning too fwiw. animadvertor [at] gmail P.S. Quite a few cores at disposal.,0,None,1,Fri Oct 09 2015 16:17:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16924,/competitions/springleaf-marketing-response,24th
/mellain,Topic Modeling Visualization,"There was an attempt of topic extraction in 'Scripts' branch. I'd like to do the same using more flexible topic modeling framework than LDA-based Gensim (it's BigARTM package [ [Link]:http://www.bigartm.org]) with the following visualization of the results. The visualization tool is Gephi [ [Link]:http://www.gephi.org]. The objects of the visualization are the topic-term matrix (30 most possible values in each topic) and topic-doc matrix (only max value in each distribution was taken into account). 25 topics were extracted, their names are only my interpretations written manually. The results can be viewed here: [Link]:http://mellain.github.io./topic-term.html [Link]:http://mellain.github.io./topic-doc.pdf",8,bronze,3,Fri Oct 09 2015 17:37:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16925,None,None
/mangoengineer,Big out-of-sample AUC score difference when shuffle=True/False in stratified K fold?,"hi all, I've using the stratified K fold method to split train data into train and test set, then use the train set to train xgboost and test set to calculate AUC score. What I have noticed is that when I shuffle the train data and split the train data (by setting shuffle=True in the StratifiedKFold function), I reached high AUC scores in the test sets. When I tune the shuffle parameter to False, the AUC scores dropped sharply. Does anyone know what could be the possible reason? Thanks a lot!",0,None,3,Fri Oct 09 2015 17:42:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16926,/competitions/springleaf-marketing-response,None
/ghanagayatri,How to deal with Features having high cardinality,"I am trying to run a machine learning problem using scikit learn on a dataset and one of the columns(feature) has high cardinality around 300K unique values.How do I vectorize such a feature. Using DictVectorizer would not be a solution as the machine runs out of memory. I have read in a few posts that I could just assign numbers to all those string values but would lead to misleading results. Has anyone dealt with such kind of a feature set.If so, how to vectorize it so I could pass it on to train a model?",62,None,28,Fri Oct 09 2015 18:45:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16927,None,None
/slobo777,Neural network models,"I have not seen any NN models mentioned so far in the forum, so though I could start a thread. I still prefer NNs when I can use them, just because I think they are cool (even if they rarely win anything here on their own outside of image classification). I think they are viable in this competition. My best single NN model has local CV (simple random split) of 0.115, and LB score of 0.12007 - I think that is quite respectable. My NN library is slow, so potentially some additional tuning could make it even more competitive, for someone using e.g. Lasagne or Keras libraries with CUDA In broad strokes my best NN architecture: 74 features input [74 250 250 250 1] with 10% dropout in each layer, and sigmoid activation (which seems better than other options so far). An xgboost model fed the same features gets me CV 0.106 (on the exact same split) and LB 0.109. I'm not using the shared scripts directly, although I think my features and code are broadly similar to several published scripts. Combining the two models did not improve LB score. But at least I seem to be finally on familiar ground with expected sequence: train score < cv score < LB score. Once local CV dropped below ~0.12 it seems I don't get the weird (and slightly worrying) LB better than CV effect any more. Anyone else getting interesting results from NNs?",15,silver,22,Fri Oct 09 2015 19:02:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16928,/competitions/rossmann-store-sales,132nd
/potterzot,gbm_inches_only,"This script is based on the recognition that 87% of the Expected values (that have at least one valid Ref) in the training set are a multiple of 0.254mm, which happens to be 0.01 inch. The Expected values are not continuous, since the gauges have some minimal measuring resolution. It appears that for most of them, this is 0.01 inches. Hence, it makes no sense to submit answers that differ from that same metric. Constraining the training data set to those values, and also rounding the output to the same set of valid values, reduces the noise substantially.",2,bronze,8,Fri Oct 09 2015 19:51:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16929,None,None
/alexandrudaia,Anyone  started  with time series?,I am wondering if anyone here started to use time series forecasting ?,6,bronze,70,Fri Oct 09 2015 19:56:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16930,/competitions/rossmann-store-sales,96th
/dmcgarry,For anyone looking for hints: 0.81446 solution,"I needed to create a pretty specific code sample this week and since the data was straight-forward and readily available, I took advantage of that. With that in mind I have published my solution to github for anyone that is looking for some hints. It will take a while to run, but I suspect you could remove the majority the models and still wind up with a ~0.8 score. Hopefully this will help someone in their pursuit of ""knowledge"": [Link]:https://github.com/dmcgarry/kaggle_cooking",10,silver,19,Fri Oct 09 2015 20:37:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16931,/competitions/whats-cooking,54th
/lutf93,ab aega maza!,"this seems like an interesting thing to do, you guys get a head start , I will be joining you in a month,",0,None,4,Fri Oct 09 2015 21:38:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16932,/competitions/the-allen-ai-science-challenge,None
/weimin,local cv and LB score,"Does anyone notice the big gap between local CV score and public LB score, or am I the only one who has such issue?",0,None,7,Sat Oct 10 2015 03:57:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16934,/competitions/deloitte-western-australia-rental-prices,16th
/acutesoftware,Can we host our code and the sample data on github?,"Can we have the sample files hosted on a public repo? sample_submission.csv, training_set.tsv, validation_set.tsv, One of the rules says ""You acknowledge and agree not to share any source exam questions provided through the competition to parties other than yourself. Any and all competitors are free to publish summary and analysis information as a result of the Competition, but you agree not to share, distribute or otherwise make known any source exam questions. You will make no attempt to identify the source of any exam questions in any of the Competition data sets."" Thanks",0,None,3,Sat Oct 10 2015 08:47:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16935,/competitions/the-allen-ai-science-challenge,None
/rupert4050,Advice about moving from pure maths into data science,I am a pure mathematician with a PhD in mathematics and I am currently on my second post-doc doing research in pure maths. I have taught one on-line Statistics course in the past but my Statistics is not all that strong. Also I have some experience with paid Java programming work but my programming skills are a bit rusty. Would I realistically have a chance of being able to move into data science? What would be involved in that? What are the requirements for a typical internship?,0,None,4,Sat Oct 10 2015 12:20:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16937,None,None
/prashantbana,Can SAS be used?,"Hi All, I recently saw this competition but not sure about the eligible languages/softwares. I have my expertise on SAS. So, i want to know if SAS is allowed for this competition or not? Kindly help. Prashant",-1,None,3,Sat Oct 10 2015 12:31:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16938,/competitions/springleaf-marketing-response,None
/loknar,"Blended sklearn classifiers, 0.7929 on LB","I've made some code, which randomly selects predefined classifiers and optimize on blend AUC score. The code can be found here: [Link]:https://github.com/Strateus/dionis . You need to preprocess yourself, but with minimum preprocessing and about 100 randomly selected classifiers from sklearn (RF, GB, ET, Ada) with randomly sampled parameters blended by LogReg it gave me 0.7929 on LB (about 0.7940 locally).",9,silver,2,Sat Oct 10 2015 14:31:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16940,/competitions/springleaf-marketing-response,377th
/subhashjaini,Hey Jonathan,Thanks for your chair!!,0,None,3,Sat Oct 10 2015 16:02:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16941,/competitions/daptdm,1st
/alexandrudaia,The solution is the mean?,"I am having the feeling that the solution for this competition is the mean, anyone thinking the same?",-7,None,15,Sat Oct 10 2015 16:27:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16942,/competitions/rossmann-store-sales,96th
/enbyly,Feel like I'm missing a couple things,"My apologies, this is my first competition. The training data file has nine columns, but the description page describes more than nine variables. Am I missing something? I'm very confused about the submission file. What order are predictions supposed to be in? Are these the same stores from the training data? Thanks!",1,bronze,1,Sat Oct 10 2015 18:03:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16943,/competitions/rossmann-store-sales,None
/smargs,issue with pip install xgboost,"I spent quite some time getting xgboost to work on my windows 10 laptop with enthought canopy (python). I downloaded the github code at dmlc/xgboost and apparently built the files in visual studio community, included them in canopy using import sys. But canopy says 'unknown module xgboost'. Then I tried installing it using pip install xgboost and got this in the command prompt (attached file). But xgboost still doesn't work in canopy. Can somebody point to anything obvious I might be missing? Thank you. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95715/3083/pipinstall.JPG",1,bronze,2,Sun Oct 11 2015 03:40:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16946,/competitions/rossmann-store-sales,631st
/alopezhartley,How much powerful a computer needs to be for data science?,"Hello everyone, I am in the process of getting a new computer (I don't have one right now, only iOS tablets) so i can begin learning R, SAS, python, SQL and all the programs that most data scientists use. Do I need to get a very powerful computer to do data science? I remember using ""R"" in my old laptop before it went dead and it didn't seem like R was very demanding for the laptop. I am thinking of buying a surface 3, not the PRO, but the 3, which comes with Intel Atom 2.4 GHz processor and 2mb RAM but I don't know if that is going to be enough for the programs that data scientists typically run. I know they have the new surface 4 that has just been released, with Intel M and 4 mb Ram, but it is double the price and I have a limited budget so I don't have enough money to buy it, but if you guys say it is ""a must"" to have a somewhat powerful computer, then I can wait a little more to save for the surface 4. I know there are other options of brands, but I need the surface because of the pen, useful for other activities I have. Your feedback is much appreciated. Thanks",0,None,6,Sun Oct 11 2015 05:25:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16947,None,None
/pandevirus,Some off-the-shelf methods,"From my point of view, we can solve this challenge using the following off-the-shelf methods: Word Embedding. We can train a word2vec model based on some dataset, such as the ck-12 grade-8 textbook suggested by the admin, or other external repositories. After we get the model, we can calculate the similarity between the question and the 4 choices. I get a score of 0.2975 based on this method. There is still a lot of improvement space, such as more training data, and how to calculate the similarity between the question and the 4 choices. Updated: I retrain a new word2vec model based on a new dataset. And got a score of 0.31625. The new dataset is generated by: First get all ck-12 Science keywords using [Link]:https://github.com/kemaswill/Allen_AI_Science_Challenge_JunweiPan/blob/master/scrape.py. Then search them in the wikipedia API(see the get_wikipedia_content_based_on_ck_12_keyword() function in [Link]:https://github.com/kemaswill/Allen_AI_Science_Challenge_JunweiPan/blob/master/get_wikipedia_data.py for example). The parameters to train the new word2vec model are: gensim.models.Word2Vec(lst_sentence, min_count = 5, workers = 4, size = 300, window = 9, iter = 10) Information Retrieval. Similar with the Lucene Wikipedia baseline provided by the Admin, we can build a local search engine. For each question, we search in the search engine to get the top-N most relevant documents. The for each choice, we calculates the word count of each choice on these documents(The word count of the choice is the sum of word count of the words in the choice). Then the choice that get the highest word count is the predicted result. Based on this method, I get a score of 0.36. Please refer to [Link]:https://www.kaggle.com/c/the-allen-ai-science-challenge/forums/t/16977/a-information-retrieval-based-method-to-get-a-score-of-0-36 and [Link]:https://github.com/kemaswill/Allen_AI_Science_Challenge_JunweiPan/blob/master/README.md for more details. Language Modeling. We can train a language model, and then try to replace the interrogative in the question by one of the choices, and check which resulting sentence can get the most probability. Question Answering(?). Currently there is a lot of research papers about QA, such as Memory Networks, Neural Turing Machines and so on. But I'm not sure whether this challenge can be easily handled by the current QA methods. References: [Link]:https://code.google.com/p/word2vec/ [Link]:http://rare-technologies.com/word2vec-tutorial/ [Link]:http://www.fit.vutbr.cz/research/groups/speech/publi/2010/mikolov_interspeech2010_IS100722.pdf [Link]:http://arxiv.org/abs/1410.3916 [Link]:http://arxiv.org/abs/1503.08895 [Link]:https://github.com/facebook/MemNN [Link]:http://arxiv.org/abs/1410.5401",28,gold,12,Sun Oct 11 2015 06:01:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16948,/competitions/the-allen-ai-science-challenge,None
/irresolute,Can I use any language to solve the problems specified in kaggle?,Hello all! I have just joined kaggle . I dont have much idea about how things work in kaggle . Will someone please tell me that the problems which are listed in getting started section can be solved by using any language or they should be solved by the language mentioned there ?,0,None,2,Sun Oct 11 2015 09:16:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16950,/competitions/street-view-getting-started-with-julia,None
/bhushankhandelwal,Amazon Web Service Related Query,"Hi folks, I use R on windows 7 machine core i5 64 bit machine, 8GB RAM. In pursuit of increasing the performance (time it takes to build the model and score), and after reading this forum's discussions, I decided to move to using AWS EC2. I need following inputs from the folks who have tried using AWS: Which AMI is good to use from performance and flexibility point of view? I have experience using Ubuntu and Windows. Which instance to chose for Kaggle competitions? Number of instances required? If spot instance is selected, what would be an optimal bid price for the instance selected? Security group configuration?",1,bronze,10,Sun Oct 11 2015 15:12:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16952,/competitions/springleaf-marketing-response,None
/alopezhartley,Are MOOCs enough to be come a Data Scientist?,"Hello everyone, I am going to begin my journey into becoming a Data Scientist and I wanted your feedback. I am graduating in April next year, and although I am not graduating with an Economics major, most of the classes I took are Econ classes. I am looking into two programs: [Link]:http://www.online.colostate.edu/degrees/applied-statistics/ and the [Link]:http://www.regis.edu/CCIS/Academics/Degrees-Programs/Graduate-Programs/MS-Data-Sciences.aspx. Initially I was going to ask for your feedback about which program looked as a better option, but I would like to ask a different question now. The question is about a third option, which is to become a self-taught data scientist. I see all these (mostly free) online classes from MIT, modules for Data Science and machine learning with Andrew Ng at Coursera, Edx courses on statistics, data analytics, etc… where you can learn things like calculus, linear algebra, statistics, regressions, R, SAS, Python, machine learning, etc…. and they look as challenging as a regular college classes. There is even an open source masters in Data Science curriculum ( [Link]:http://datasciencemasters.org) So I am wondering….Is it really possible to bypass a college degree and still get the advanced skills myself, online with these modules, in order to become a data scientist? Will following these online classes be enough in order to get the necessary skills I need to become a professional Data Scientist or will I still need a college degree to get good skills, and even a job? I am a very disciplined person when it comes to studying, so I am not worried about losing track if I do it by myself. I wanted your feedback to see if these classes are as good (or better) than college classes and if they would be enough to get the skills I need or if I would be missing something. Thank you for your feedback.",3,None,17,Sun Oct 11 2015 16:18:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16953,None,None
/tderouin,A few questions,"Hi everyone, I stumbled across this project a few days ago and I find it really fascinating. It's extra special for me because my wife and I always make sure to visit the New England Aquarium when we are in the Boston area. I've been a computer programmer for 18+ years working on mostly large web applications, but have found the concept of data science to be fascinating and something I want to explore further. This is my first image processing and machine learning project, so please bear with me. I have a few questions: For Step 1 in the ""Creating a ""Face Detector"" for Whales"" - for annotating the images, how big / small or broad / precise should the annotations be ? Should they include just the whale's head? Or the whole whale body? I annotated the 500 images from the subset, however, my detector isn't detecting any whales when I feed it an image from the regular set - or it detects three+ random boxes on the page. Did I use too many images when I built my classifier? I'll attach two examples of how I annotated images from the initial subset. I'm a little concerned by this output when I run trainCascadeObjectDetector: Automatically setting ObjectTrainingSize to [ 32, 41 ] From the documentation: Before training, the function resizes the positive and negative samples to ObjectTrainingSize in pixels. This doesn't sound good at all. For optimal detection accuracy, specify an object training size close to the expected size of the object in the image. I'm confused about this as per my previous question, should we be limiting the size and what we annotate when we annotate a whale in the training set? For instance, just annotate a 100x100 square around the head of the whale? Maybe we should pass 'ObjectTrainingSize','Auto' to trainCascadeObjectDetector ? Steps 1-4 seem pretty straight forward - thanks to Nina Chen, and then this is where I get a little confused. Now that we have a detector and have run it on the entire dataset. What does that return exactly? bbox = step(WhaleDetectorMdl,img); copy seems to be a 3x4 matrix. Probably because I have 3 annotations on this given image, so assuming a correct image would have only 1 annotation it would be a 1x4 matrix. Would this be (x1, y1, height, width)? Now what do we do? :) I assume we pick a machine learning algorithm, and feed it both the training.csv file and corresponding set of images referenced by tranining.csv to tell the algorithm ""Hey, For image w_9450.jpg, you can find whale_67614 at [1000, 500, 1000, 100, 120] - now learn!"" Should we start by looking at Classification algorithms? And finally - last question, once we've built this beautiful learned machine, which images do we run it on to generate a solution to submit for evaluation? The entire 11,468 images? From train.csv we already know the solution to 4,528 of the images, do we include those in our dataset? And if so, do we override what the machine learning algorithm has told us about the known image, and put 1 for the corresponding whale and 0 for all of the others to improve our evaluation? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95757/3084/Screen Shot 2015-10-11 at 10.11.44 AM.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/95757/3085/Screen Shot 2015-10-11 at 10.11.39 AM.png",0,None,3,Sun Oct 11 2015 16:40:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16954,/competitions/noaa-right-whale-recognition,None
/attiny2123,Cortical.io,Can we use the [Link]:http://cortical.io api for this competition? edit: Sorry. Forgot to look at the api rules post.,0,None,1,Sun Oct 11 2015 19:27:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16955,/competitions/the-allen-ai-science-challenge,None
/skylibrary,Ensemble Boost,May I ask which submission gives 0.987529 on LB?,0,None,6,Sun Oct 11 2015 22:35:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16956,None,None
/newmonk,Without Variable Names-Hows analysis possible,"Hi Folks, How one can do any type of statistical analysis if one does not know about which variables stands for what. Kindly enlighten me! Thanking you.",1,None,12,Sun Oct 11 2015 23:52:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16957,/competitions/springleaf-marketing-response,None
/mrtwiggy,Success Of Whale Detection,"I'm curious what other peoples success rate has been with whale detection/cropping. I've attempted to train a HAAR Cascade detector using OpenCV with 707 positive images and 2000+ negative images. However, still, the results are subpar, with 50% of the detections missing the whale. To be able to detect in a reasonable time and use OpenCV, I had to downsample to 256 pixel width and convert to grayscale. Any thoughts on whether this might be the source of error?",0,None,2,Mon Oct 12 2015 01:12:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16959,/competitions/noaa-right-whale-recognition,142nd
/ericcouto,Reading Train and Test Using Less Memory,Less than 2Gb! =),0,None,8,Mon Oct 12 2015 01:27:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16960,None,None
/abhishek21,Anyone interested in teaming up ?,"Hello, I completed master's in CS from UIUC and have decent knowledge of machine learning concepts. Please let me know if someone would be interested in teaming up. Thanks,",0,None,7,Mon Oct 12 2015 05:34:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16961,/competitions/noaa-right-whale-recognition,None
/clustifier,Are all/some the 0.99+ are physically sound?,Are all/some of the 0.99+ are physically sound?,3,bronze,9,Mon Oct 12 2015 07:57:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16962,/competitions/flavours-of-physics,44th
/wkryscinski,Use of Data for Academic Research,"Hello, I would like to know if I am allowed to use data provided for this competition to write my B.Sc. thesis at the AGH University of Science and Technology in Cracow, Poland. Administrators of the competition, please respond!",3,bronze,9,Mon Oct 12 2015 17:27:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16964,/competitions/rossmann-store-sales,None
/niranjanmudhiraj,"Exception: Layer is not connected. Did you forget to set ""input_shape""?",can anyone explain how fix this error.,0,None,3,Mon Oct 12 2015 18:28:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16965,/competitions/flavours-of-physics,421st
/georgesolymosi,Magic hint to reduce CVM?,Has somebody - who want to share - some magic hint to reduce CVM?,0,None,10,Mon Oct 12 2015 19:11:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16966,/competitions/flavours-of-physics,12th
/phunter,"Can ""Go Polar Bears  Team""'s public LB score reach 1.0 before the end of this game?","Just so curious. If they can, I want to buy them a beer no matter what is the private LB score.",5,silver,9,Mon Oct 12 2015 20:13:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16967,/competitions/flavours-of-physics,29th
/msegala,XGBoost early_stopping_rounds,"I normally pick a value around 20 for my early_stopping_rounds parameter, this is based on nothing but a random guess. Does anyone have a better method for picking this value? I guess I could try doing a CV on it but that just doesn't feel like the right approach.",0,None,1,Mon Oct 12 2015 20:30:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16968,/competitions/rossmann-store-sales,572nd
/jindal,"Test contains only 856 stores, why should I use remaining stores?","The number of unique stores in the training set are 1,115 and the number of unique stores in the test set are only 856. What is the use of the remaining stores? I used the complete training set(844K observations) and used the h2o rf example on [Link]:https://www.kaggle.com/mlandry/rossmann-store-sales/random-forest-example, and got score of ~0.115 but when I used the 856 stores(647K observations) for training I got score of only ~0.236, I could not understand such a high increase in the error. Can anybody please give an explanation?",3,bronze,13,Mon Oct 12 2015 21:33:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16969,/competitions/rossmann-store-sales,1373rd
/datacanary,IPython notebooks now available for everybody,"We're delighted to announce that IPython Notebooks are now available to everyone through [Link]:https://www.kaggle.com/scripts. Here's a quick demo on Kaggle data: [Link]:https://www.kaggle.com/benhamner/meta-kaggle/exploring-with-a-python-notebook Why not try it out for yourself on one of our current competitions? To start a notebook session, select ""IPython Notebook"" from the language menu on the ""New Script"" page.",9,silver,8,Mon Oct 12 2015 23:28:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16970,None,None
/phunter,"Oh, Polar bears, that is a miracle, 1.0000 on private LB!","I will buy you two beers! How can you be so precise to the 6th digit, the submission is a list of probabilities.",6,bronze,4,Tue Oct 13 2015 02:03:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16972,/competitions/flavours-of-physics,29th
/freespirit,First submission deadline?,"Tried to submit my first submission but seems like they are not accepting anymore entries. The deadline does not specify any time zone. ""October 12, 2015 - First Submission deadline. Your team must make its first submission by this deadline"" Is there a way to contact the administrator of this competition.",0,None,1,Tue Oct 13 2015 02:21:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16973,/competitions/springleaf-marketing-response,None
/bascom,Logit GLM -> Tau Lepton Flavour,[Link]:http://1.bp.blogspot.com/-2ZErhjHsSW0/Vh1losv-swI/AAAAAAAAAac/MAbs93UlVmI/s1600/Kaggle%2BPredictions%2Bwith%2BDeviance%2BResidual%2BHist.png,0,None,2,Tue Oct 13 2015 22:15:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16984,None,None
/niranjanmudhiraj,Is Random Forest enough to hit 98% on LB?,"I am new to kaggle, i am actively participating all kaggle competitions. In less time i learned many new things from kaggle competitions and kaggle forums.Really kaggle forum very supportive. Thanks to everyone. In this competition what should i concentrate more on feature selection or algorithms? can anyone explain? Thanks in Advance.",0,None,9,Wed Oct 14 2015 13:05:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16995,/competitions/dato-native,90th
/marjancek,gbm_inches_only,"Your ""time_difference"" function is wrong; you get negative values on the first minute of each Id series, and you are not SUMing the values for each time series, but the entire vector. You translated the implementation from Python, where the function only gets the vector for the current ID.",1,bronze,6,Wed Oct 14 2015 13:22:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16996,None,None
/qiuhuaizhi000,The reason why my score is 0,I want to know why my score is 0，is my poor accuracy the reason why I got zero？ or other reasons？,0,None,2,Wed Oct 14 2015 14:08:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16997,/competitions/digit-recognizer,None
/superkalista,[Deleted Kernel],"From your csv file, with 1st and 3rd columns removed, the accuracy is 0.78826. However, I am puzzled that I don't see you on the leaderboard :)",0,None,1,Wed Oct 14 2015 14:27:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16998,None,None
/threeplusme,XGBoost (run local),"@ Michael. First of all thank you for sharing your work. May I ask you to explain that part ""# This is the script that produces LB 0.7985 for me with more features engineering"". I mean the given script is just a skeleton for xgboost without proper features engineering? Thx Eugene",0,None,8,Wed Oct 14 2015 15:48:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/16999,None,None
/josefslavicek,Third place solution,"Hello, first, excuse, please, my bad English. Second, excuse, please, my brevity - I really didn't expected that I will place so high, so I have lots of work to complete my solution description, which is required to be published today (October 14th). I wish to thank CERN and organizers for this exciting competition. I wish to congratulate the winning team 'Go Polar Bears' and Alexander Gramolin who placed second - we have had great fight in the past hours of the competition and he managed to beat me :-). Excuse, please, poor quality of my source code. I really didn't expected such good result, so I didn't expected that I will be asked to publish my code. And there is not enough time to clean it up. So, here it is (it's crazy mixture of three programming languages): [Link]:http://jslavicek.cz/third_place.zip . Installation instruction are in the INSTALL.txt file. I'm going to write description of my solution and hope to publish it on this forum until midnight UTC. Edit: description of my model is now packed in the third_place.zip file. Edit2: I simplified my solution to the level where it can be published as [Link]:https://www.kaggle.com/josefslavicek/flavours-of-physics/simplified-version-of-my-solution. It scores 0.999594 as a ""Post-Deadline entry"" on private leaderboard (~third place).",6,silver,14,Wed Oct 14 2015 19:15:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17000,/competitions/flavours-of-physics,3rd
/glimmung,Negative Sales,A submission containing negative sales yielded no errors. Is negative treated as negative or as zero or as positive?,0,None,4,Wed Oct 14 2015 20:39:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17001,/competitions/rossmann-store-sales,2433rd
/pauljurczak,Constraints on processing time and resources used by winning entries.,"Hi Carissa, I would like to find out what is the maximum CPU time, RAM and other resources allowed for the final test run at your facility. What sort of hardware it will be evaluated on?",4,bronze,13,Wed Oct 14 2015 20:59:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17002,/competitions/the-allen-ai-science-challenge,None
/anaderi,NIPS workshop on Applying (machine) Learning to Experimental Physics,"Dear challenge participants, we are organizing a [Link]:http://yandexdataschool.github.io/aleph2015/ at [Link]:https://nips.cc/Register/, the leading conference in the area of machine learning. This workshop will officially conclude the challenge, summarize its results and lessons learned and outline the directions for the future competitions. It will be held on 11th of December [Link]:https://www.google.com/maps/place/Montreal+Convention+Centre/@45.505151,-73.559786,15z/data=!4m2!3m1!1s0x0:0x17d4bd31b9103f97. Our ultimate goal is to bring the Physics and ML communities together to initiate discussions on Physics-motivated problems and applications in ML. It is not unknown that the ML community is still largely untouched by the numerous learning challenges coming from Physics. We hope that as a result of this workshop (as well as a result of the Flavours of Physics challenge organized before the workshop and the new dataset that we shared in its scope that are to be discussed at the workshop), these problems will attract more attention from ML researchers. We encourage you to participate in the workshop and report about your experiences in this challenge, your solutions and recommendations for the future competitions. In order to participate as a speaker or with a poster, consider [Link]:https://easychair.org/conferences/?conf=aleph2015 your proposal. More details on the ALEPH workshop can be found at workshop pages: [Link]:http://yandexdataschool.github.io/aleph2015/ NB: application for the workshop participation and application for the Physics Prize are evaluated separately, so if you looking for both the Prize and the participation at the workshop, please apply twice.",2,bronze,2,Wed Oct 14 2015 22:53:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17003,/competitions/flavours-of-physics,None
/andrelopes1705,Will there be another CIFAR competition?,Will there be another CIFAR competition? I saw its finished but i really wanted to compete on it.,0,None,3,Wed Oct 14 2015 22:58:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17004,None,None
/anaderi,Physics Prize,"Dear ""Flavour of Physics"" participants! If you think that your solution can improve Physics analysis, we cordially welcome you to apply for the special ""HEP meets ML"" award ($2000). To do so, please send your model code and a textual description (500-1000 words) to the email flavours-of-physics@cern.ch until 26th of October. It will be evaluated by team of HEP experts from LHCb (Marc-Olivier Bettler (CERN), Marcin Chrząszcz (University of Zurich), Francisco Dettori (CERN), Thomas Blake (University of Warwick)) and the winner will be announced at [Link]:http://yandexdataschool.github.io/aleph2015/. NB: application for the workshop participation and application for the Physics Prize are evaluated separately, so if you are looking for both the Prize and the participation at the workshop, please apply twice.",1,bronze,2,Wed Oct 14 2015 23:42:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17006,/competitions/flavours-of-physics,None
/jxiesd,How to explain the different rent on the same property at the same day,"Hi, I like to ask the community what does this mean: a same property (same ve_number) with different base_rent on the same day? How to explain the rational behind it? in train.csv 1744810,2003-12-01,130,1101695,"""" 2008137,2003-12-01,110,1101695,"""" 2330348,2003-12-01,110,1101695,"""" 2415135,2003-12-01,120,1101695,"""" 3998887,2003-12-01,90,1101695,"""" 1025650,2003-01-15,90,1101695,"""" 1071793,2003-01-15,105,1101695,"""" 2493760,2003-01-15,105,1101695,"""" 2668182,2003-01-15,105,1101695,"""" 2917852,2003-01-15,95,1101695,"""" 3030795,2003-01-15,85,1101695,"""" 4299349,2003-01-15,105,1101695,"""" 4944012,2003-01-15,95,1101695,"""" 5173675,2003-01-15,105,1101695,"""" thanks",4,bronze,16,Thu Oct 15 2015 00:13:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17007,/competitions/deloitte-western-australia-rental-prices,17th
/sionek,sharing code - UGBC,"Thanks to Andrey Ustyuzhanin, Alex Rogozhnikov et al., the authors/maintainers of hep_ml, for their effort. I have spent two evenings installing hep_ml, and three evenings running it, but I have obtained 0.991099 using just one model - [Link]:http://grzegorz.sionkowski.pl/zip/justUGBC.zip <- zip file of my solution. Because I know neither R nor Python, the solution is written partly in R, partly in Python 2.7. New things regarding scripts known before the end of the competition: -- new feature (Python file) df['NEW_FD_LT']=df['FlightDistance']/df['LifeTime'] of the dimension of ""velocity"" ;) -- removing some specific rows from evaluation file enables to obtain better evaluation close to that on LB or that (not allowed) min_ANNmuon>0.4 (R file). No mass ""reconstruction"".",7,silver,16,Thu Oct 15 2015 01:20:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17008,/competitions/flavours-of-physics,14th
/jiweiliu,Congratulations to winners!,"Congratulations, Mad professors :P",6,silver,56,Thu Oct 15 2015 02:07:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17009,/competitions/dato-native,4th
/niranjanmudhiraj,congratulations to Μαριος Μιχαηλιδης KazAnova and his team.,,1,bronze,1,Thu Oct 15 2015 02:13:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17010,/competitions/dato-native,90th
/jturkewitz,Random Acts of Pizza No Results 4 Months After Finishing,"It has been over 4 months since random acts of pizza finished, and still I can not see my private leader board score. I understand that it was a knowledge competition, but I put some time into it and would like to see the results.",0,None,2,Thu Oct 15 2015 04:59:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17012,None,None
/benhamner,[Deleted Kernel],"Nice script! This would be cool to do in the Python notebook format that we just released, so you can interleave the code with the commentary in Markdown.",1,None,2,Thu Oct 15 2015 05:09:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17013,None,None
/grfiv4,Matlab ROI and OpenCV Classifier,"I find Matlab's Training Labeler app to be exceptionally helpful in creating bounding boxes. It's by far the best tool for this job. On the other hand, I find OpenCV 3.0.0's opencv_traincascade has produced better results for me so far than Matlab's trainCascadeObjectDetector. I am still in the process of identifying ROIs (results improve with each new batch of images I label) and I am still fiddling with opencv_traincascade but the results are starting to make me hopeful. The following image was produced with a classifier from this command opencv_traincascade -data haarcascade -vec positives.vec -bg bg.txt -numPos 1879 -numNeg 17313 -numStages 4 -precalcValBufSize 6000 -precalcIdxBufSize 6000 -stageType BOOST -featureType LBP -w 35 -h 35 -bt GAB -minHitRate 0.999 -maxFalseAlarmRate 0.01 -weightTrimRate 0.95 -maxDepth 1 -maxWeakCount 200 -mode BASIC copy [Link]:http://www.philadelphia-reflections.com/images/SampleCascadeResult.png",0,None,12,Thu Oct 15 2015 08:25:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17016,/competitions/noaa-right-whale-recognition,100th
/chalmi,Physical question about angels,In real experiment do we know anything about angles between momentum vectors p0 p1 p2? Is this possible that these angles are constant (or almost constant)?,0,None,3,Thu Oct 15 2015 09:26:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17017,/competitions/flavours-of-physics,4th
/vicensgaitan,Why is so hard to 'learn' the tau mass ,"I was wondering why a classifier trained on all variables doesn't have the same performace as one that includes the reconstructed mass (beyond passing or not the physical tests) . It seems that is not easy for the classifier to build in a unsupervised way an internal representation of the ""mass"". This script shows some reflexions about it. Some thoughts? Later I will explain in other RMarkdown, the methodologies I used for the competition. My sincere congratulation to the winners, It was an exciting competition!",3,bronze,9,Thu Oct 15 2015 10:54:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17018,None,None
/scirpus,Genetic Programming,This code got .982552 on the private LB - it was created using genetic programming. I used no feature selection/creation and no scaling whatsoever - just imported the training file and clicked run. Whilst it is nowhere near the stellar performance of the winners it is certainly on par with my albeit low-skilled python submissions using xgb and lasagne which required much greater effort in terms of feature selection and scaling. The code is 18.2Kb and would easily fit on a cheap microcontroller or fpga if one wished. Hopefully a decent physicist may derive physical insight into the problem by viewing the prediction code - I myself have no clue!,5,silver,1,Thu Oct 15 2015 10:54:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17019,None,None
/colinpriest,My submission (score 0.00512),"I will release my scripts in a few steps, as I have to tidy up the code, and write up a description of what I've been doing. My model consisted of 4 stages: Stage 1: background removal using information leakage Stage 2: several different models using DNN, CNN, and boosted trees Stage 3: ensembling the models via xgboost Stage 4: using yet another information leakage on the text to halve the score You can read about Stage 1, my background removal script, at [Link]:http://colinpriest.com/2015/10/15/denoising-dirty-documents-part-9/ , which is a much generic and comprehensive approach than that presented in Kaggle scripts. Of particular interest is the adjustment for contrast constraints that fixes the problem of faded text where the stains are dark. My next post will start to cover the Stage 2 models. I found that the deep neural networks (DNN) performed the best, even without adding many layers. The convolutional neural network (CNN) took quite a while to get working, but didn't perform as well as the DNN, probably because it lacked any fully connected layers. Colin",6,bronze,3,Thu Oct 15 2015 12:37:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17020,/competitions/denoising-dirty-documents,2nd
/subhashjaini,Power validation,"This is how you compare your current submission with your previous submissions. The reuslt tells you how many columns are EXACTLY like the ones you previously submitted. Cheers! setwd(""C:\Users\User\Desktop\Contest\submissions""); submission = read.csv(""sub29RF0.5135.csv""); i=1; SubmissionMatrix = read.csv(list.files()[i]); names(SubmissionMatrix)[2] = paste0(""sub"",paste0(unlist(strsplit(gsub("".csv"","""",list.files()[i]),""sub"")),collapse="""")) for(i in 2:length(list.files())) { NextSubmission = read.csv(list.files()[i]); names(NextSubmission)[2] <- paste0(""sub"",paste0(unlist(strsplit(gsub("".csv"","""",list.files()[i]),""sub"")),collapse="""")); SubmissionMatrix <- merge(SubmissionMatrix,NextSubmission,by=""ID""); } for(x in names(SubmissionMatrix)[2:length(names(SubmissionMatrix))]) { if(min(SubmissionMatrix[,x])!=0 & max(SubmissionMatrix[,x])!=1) { SubmissionMatrix[,x] <- as.numeric(SubmissionMatrix[,x] >= 1400); } } head(SubmissionMatrix); sumMatches <- function(x) { sum(SubmissionMatrix2[,""response""]==SubmissionMatrix2[,as.character(x)]); } SubmissionMatrix2 <- merge(SubmissionMatrix,submission,by=""ID""); run this line if you have a predicted shares volume SubmissionMatrix2$response <- as.numeric(SubmissionMatrix2$response >= 1400) Table showing what you've submitted and how many of your rows match your exact current submission file. sapply(names(SubmissionMatrix2),sumMatches);",0,None,1,Thu Oct 15 2015 13:00:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17021,/competitions/daptdm,1st
/chalmi,Can we see the training set with all available features,"As we all know a lot of features were removed from data set to make this ML research as useful from physical perspective as possible. But now, after competition, many of us are still doing some research on data. I just thought it would be useful for us all to see all parameters that we can read from detector. I am especially interested in all momentum vectors as I got very puzzling results in my angles approximation approach. So please, organizers, can you provide the training set with all available parameters?",3,bronze,1,Thu Oct 15 2015 13:22:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17022,/competitions/flavours-of-physics,4th
/hassanabdulqayyum,Initial weights for neural networks,"Let's say that you've designed a neural network and your final prediction varies about 1% due to the random weights initialized at the start. Now for your final submission, is it okay to choose specific weights to get consistent results?",0,None,1,Thu Oct 15 2015 13:36:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17023,None,None
/abtpst,How to get started with Lucene Wikipedia benchmark ,"Hi, Is there a resource i can use that will show me how to build this benchmark model? I think that python's wikipedia library is a good place to start but i am not sure how to use it for a q&a engine. Am i correct?",2,bronze,27,Thu Oct 15 2015 16:57:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17024,/competitions/the-allen-ai-science-challenge,None
/msegala,Two Stage Model help,"I am trying to develop a two stage model which is mainly inspired from ( [Link]:https://github.com/daxiongshu/kaggle-tradeshift-winning-solution/blob/master/TradeshiftTextClassification.pdf). You can find an example of the code here: [Link]:https://github.com/msegala/Ensemble-Tools/blob/master/Model%20Blending.R My steps are as follows: 1) Train XGBoost, RF, GBM models in a similar fashion to the above link. Each model has a validation AUC of ~0.77-0.798. I use 4-fold CV where each fold is used to make a prediction on the test set and each holdout fold is predicted to form the new training set. The final 4 folds are averaged together to form the new test set prediction meta features. 2) Train a few FTLR models. Each has a validation AUC of ~0.77. The training and testing set predictions will become new meta features. 3) Combine the prediction meta features back with the original training and testing set features. X_train_meta = cbind(train,XGBoost_prediction_train, RF_prediction_train, ...) X_test_meta = cbind(test,XGBoost_prediction_test, RF_prediction_test, ...) copy 4) Create a final XGBoost model which uses the original and meta features. When training my final model from step 4), the training/validation AUC quickly goes to 0.999 BUT my LB score is only around 0.72. Does anyone have any advice on what may be wrong?",1,bronze,9,Thu Oct 15 2015 17:01:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17025,/competitions/springleaf-marketing-response,138th
/bitsofbits,A connection between RMSPE and the log transform,"Like many, if not most of the people here, I've been using some variation of ln(sales) as the parameter I've been fitting. Yesterday, I was wondering if I could come up a transform that more closely matched the RMSPE evaluation. So, I did a little math. If p is the predicted value, t is the target value and our transform is f(x), then: RMSPE(p,t)=√1n∑(p−tt)2 P≡f(p)=f(t+δ)≈f(t)+f′(t)δ+… T≡f(t) where δ≡p−t Here, P and T are the transformed p and t. Our goal is to choose f in order to make RMS(P,T) approximately equal to RMSPE(p,t): RMS(P,T)=√1n∑(P−T)2 All we need to get these two metrics to agree is choose f such that: P−T≈p−tt If we assume that δ is small, and drop all the higher order terms of the Taylor series, then we can make RMS(P,T) approximately equal to RMSPE(p,t): ⇒f(t)+f′(t)δ−f(t)≈p−tt ⇒f′(t)δ≈δt ⇒f′(t)≈1t ⇒f(x)≈ln(x)+C Here C is an arbitrary constant. Since it cancels in computation of RMS, we can choose it to be zero. So the log transform was right all along! At least under the, possibly dubious, assumption that predicted values are close to the target values. I didn't learn anything new, but at least I can feel better about doing what I was already doing. This may be a well known result, but I hadn't seen it mentioned anywhere so I figured I'd write it up. [EDIT] spelling; changed Fourier to Taylor",68,gold,26,Thu Oct 15 2015 17:24:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17026,/competitions/rossmann-store-sales,237th
/threeplusme,Does it makes sense to derive estimates for customers?,"Hello, I'm just wondering whether it makes any sense to derive estimates for customers on the train data and predict them on the test data before predicting the sales. appreciate any insights :)",5,bronze,4,Thu Oct 15 2015 20:29:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17028,/competitions/rossmann-store-sales,651st
/dsoreo,Click and Submit solutions,Glad to see no script based click and submit submissions in top ~600. Hope no one shakes the leaderboard in last 4 days with a high performance public script!,2,bronze,3,Thu Oct 15 2015 21:50:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17029,/competitions/springleaf-marketing-response,426th
/ghanagayatri,MaxBin = 32 limit with Random Forest Model in R and Spark Mlllib,"I am trying to run the random forest model on my data using R/ Spark ml lib and one of the categorical features in the data has around 1000 unique values. When I try to run the random forest model on that data with Spark Mllib , I get that the unique values in the categorical feature has exceeded the MaxBin limit 32. I know its the same with the random forest in R. Does anyone know why there is a limit and how to deal with categorical features having unique values exceeding the 32 limit?",0,None,3,Fri Oct 16 2015 00:17:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17030,None,None
/wendykan,Competition finished - apply for GraphLab Create Reward!,"Hi all, Thank you all for your participation. We're very impressed by your performance and the ability to process large volume of files. Big congrats to the winning team. Cheaters are now removed and the results are final. If you built your model in GraphLab Create, we want to hear from you! You could be the winner of the Dato Creators Award. If your team meets the criteria, please upload your model from the left menu bar ""Upload my model"". Your model must have produced one of the final selected submissions that got you to the leaderboard. We will accept application until 10/21/2015 11:59 PM UTC.",2,bronze,1,Fri Oct 16 2015 00:32:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17031,/competitions/dato-native,None
/mrtwiggy,Internal Validation Mismatch,"I've noticed that all my submissions to the leaderboard perform worse than estimated on my internal validation logloss. Has anyone else noticed a similar difference in leaderboard validation vs internal validation, or is it perhaps my own sampling/loss calculation that is bugged?",-1,None,2,Fri Oct 16 2015 01:43:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17032,/competitions/noaa-right-whale-recognition,142nd
/driftr,Anyone using R?,"Hello, Is anyone using R for this competition? Seems like word2vec(in Python) is the most popular algorithm being used by far. I don't think an R word2vec library exists; was wondering what algorithms/techniques other R users(if any!) are employing to take a crack at this AI challenge. Thanks!",0,None,10,Fri Oct 16 2015 12:06:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17034,/competitions/the-allen-ai-science-challenge,None
/colinpriest,hi all,"Hey this is fun! It is only my second Kaggle competition. I'm glad that my first (simplistic) entries have beat the competition benchmarks, especially since I have not done any feature engineering yet.",0,None,4,Fri Oct 16 2015 15:09:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17037,/competitions/ai-2015,19th
/del=ab379d91cdfca2d0,Linear Regression Model ; Field not present in test set,"My Linear Regression Model consist of all Fields in the dataset. ctrl <- trainControl(method = ""cv"",number = 10) mod1 <- train(Sales ~ . - Date ,data = train,method = ""lm"", trControl = ctrl, metric=""Rsquared"") summary(mod1) mod1 copy In the training set, the data contains a Field called Customers and it is missing in the testing set. My Primary Objective is to predict Sales. My Predict function fails since it encounters a field Customers missing in my testing set. pred <- predict(mod1,newdata = test) copy How to handle such a case or is it, that this field is suppose to help me in Feature Engineering?",0,None,1,Fri Oct 16 2015 18:19:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17038,/competitions/rossmann-store-sales,None
/alexmulo,The 1000 $ question,"Hello guys, I tried to use this script I found here in the gallery: [Link]:https://www.kaggle.com/paso84/rossmann-store-sales/xgboost-in-python-with-rmspe/code instead of using the proposed data pre-processing, I shuffled the data set and created dummy variables (subtracting one each) for the 'StoreType' and 'Assortment' variables. Unfortunately, at the end I got a higher score compared to the script. What's wrong with shuffling and dummy variables? Thanks a lot.",1,bronze,4,Fri Oct 16 2015 20:25:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17039,/competitions/rossmann-store-sales,898th
/jeffhebert,Kaggle Competitions Over Time,"A look at how Kaggle has grown over the last 5 years. Kaggle has seen steady growth in number of users, but most competitions are have less than 500 competitors. The green competitions in the first plot are labeled as Site 3. The names of these competitions suggest they are college courses.",0,None,1,Fri Oct 16 2015 21:28:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17040,None,None
/kirasoderstrom,XGBoost (run local),"Hi there! First of all, thanks for posting your code. This is very interesting to me. I'm just trying to run through this and understand it a little better. I cannot seem to get past the if statement where model$bestScore > 0.79 simply because I can't get it to be over .79. Is that a features issue on my end? I would really appreciate your help. Thank you!",0,None,1,Fri Oct 16 2015 23:07:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17041,None,None
/georgesolymosi,Exploratory Analysis Rossmann,,0,None,5,Sat Oct 17 2015 00:17:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17042,None,None
/rav4rocks,Necessity of submission for week to 23 October,"Hello, My team has submitted forecasts every week up to that ending on 16 October, midsemester break week inclusive. When I went to download the latest train file today, I found it the same as that used by us when forecasting for the week ending on 16 October. So do we need to submit another forecast for the week ending on 23 October? Regards, Ravi",0,None,1,Sat Oct 17 2015 09:10:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17046,/competitions/think-big-usyd-semester-2-2015,14th
/del=630c9bd62a0ce30f,Converting json file to csv format,"Hi guys, Can someone please help me with this. I would like to convert the train/test data files (in json format) as csv format. Appreciate any sort of information. Thanks..",0,None,4,Sat Oct 17 2015 12:24:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17047,/competitions/whats-cooking,None
/dvasyukova,Putting stores on the map,"So I was looking at StateHoliday column thinking what features I might create from the data. And I noticed that some dates are public holidays in certain stores but not in the others. A quick googling revealed that public holidays in Germany differ state by state. Then I thought it would be possible to place stores into different states based on [Link]:http://www.timeanddate.com/holidays/germany/2013. That let me divide stores into 8 groups based on state. But still I needed to go deeper. So I looked at [Link]:http://www.holidays-info.com/School-Holidays-Germany/2015/school-holidays_2015.html. And that almost did the trick (I still haven't figured out how to distinguish Bremen and Lower Saxony, but that's only 22 stores). What's interesting is that the test set is missing all stores from TH, SN, ST and BE. [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/3098/train_test_states.png Also of note that all stores that have a gap in data in the second half of 2014 come from Bavaria (BY). I'm attaching a csv file with store - state pairs. Use it at your own risk. For full analysis see [Link]:https://gist.github.com/gereleth/781a92c97b58b07a11e2#file-putting_stores_on_map-ipynb. Now if only I could stop doing this and actually work on my models… =) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96497/3097/store_states.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96497/3098/train_test_states.png",135,gold,31,Sat Oct 17 2015 13:19:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17048,/competitions/rossmann-store-sales,897th
/markcooper,R nnet() - how much RAM needed?,"Hi, I'm struggling to use R nnet() neural network package. I keep getting out of memory issues. My setup is Windows 7 x64, 16GB RAM, running Revolution R 3.2.2 & RStudio. My training data is 33600 rows by 709 variables. The issue is the hidden layer size parameter. Can anyone please tell me what sizes they are managing and how much RAM they have on their system? I've not even managed 100 neurons in the hidden layer. Thanks, Mark",0,None,3,Sat Oct 17 2015 16:12:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17049,/competitions/digit-recognizer,None
/prudhv16,Looking for a team mate,"Hi, I am a graduate student in Data Science and am learning Machine Learning, R, Python. I would like to form a team. Let me know in case any one is interested. Thanks.",0,None,15,Sat Oct 17 2015 19:05:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17050,/competitions/digit-recognizer,None
/rakhlin,Simplified version of 3rd place solution,"Josef, Thank you for your code and particularly for idea of raising 'strong' classifier to a power. Here is my (post competition) development of this idea. Just one classifier and 75 lines of code, it reaches score 0.999+: [Link]:https://www.kaggle.com/rakhlin/flavours-of-physics/abcde So, what does your discovery mean? Simple. Raising a number 0 < x < 1 to a large power practically zeroes it, unless this number is very close to 1. When the strong classifier is very sure in its prediction you keep it, otherwise you substitute it (via summation) with weak classifier. You can substitute it even with noise, as I did with almost same result. Weak classifier matters close to nothing. Why does it work? Because of metric ROC. With this summation you separate predictions into 2 categories: '1's of the data channel get predicted by strong classifier, all other ('0' of data channel and '0'/'1' of control) get predicted by weak/noise classifier. For ROC only class rank matters (if all '0' get lower predictions than all '1' then ROC=1; their absolute values don't matter at all) Besides, '0'/'1' of control channel do not contribute to the score at all.",2,bronze,3,Sat Oct 17 2015 19:25:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17051,None,None
/nigelessence,Umgrammatical legalese,"The current rules for this competition are: A Submission will be ineligible to win a Prize or a Prize already awarded will be required to be forfeited if it was developed using code containing or depending on software licensed under an open source license: * other than an Open Source Initiative-approved license (see [Link]:http://opensource.org/); or * that prohibits commercial use. which is gibberish. Apart from the bad grammar and punctuation, there is I think triple negative. My suggestion would be: A Submission is eligible if the source code, including third part libraries, is licensed under an Open Source Initiative-approved license (see [Link]:http://opensource.org/). The license must not prohibit commercial exploitation or use. If a Submission is not eligible, it cannot win a Prize, or a Prize already awarded will be required to be forfeited. Simples. Apparently, Kaggle administrators cannot recognise ungrammatical garbage when it hits them in the face. It brings this whole site into disrepute.",-4,None,18,Sun Oct 18 2015 02:48:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17053,None,None
/gabrielfarah,LF Team,"Hi all, anyone interested in teaming up? Currently I am using Python for this one. Cheers!",1,bronze,3,Sun Oct 18 2015 03:05:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17054,/competitions/rossmann-store-sales,96th
/amhchiu,Pattern in Distribution of Outcomes,"Competition Admin, Lakshmanan, noted [Link]:https://www.kaggle.com/c/how-much-did-it-rain-ii/forums/t/16555/welcome-here-s-some-more-stuff-to-read that the recorded rainfall should follow a gamma distribution. The PDF above looks roughly right, but there are few bumps which seem to occur in regular increases in rainfall measurements. Has anyone found out anything about this? (I don't expect it to throw a spanner in the works, however)",0,None,5,Sun Oct 18 2015 07:51:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17055,None,None
/equanimous,Looking for a lightweight graph database.,"Hi Since this competition is semantic in nature I am looking for a lightweight graph database/hexastore. If it can run headless and store databases in files like SQLite, it would be an added bonus. Does anyone know of such a database ?",0,None,6,Sun Oct 18 2015 08:31:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17056,/competitions/the-allen-ai-science-challenge,None
/santiagomota,Weather at Berlin US Airport,An example R script to obtain Weather at Berlin US Airport. You can modificate to other cities. Link to code and results: [Link]:https://github.com/santiagomota/Kaggle_Rossmann [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96557/3099/Weather at Berlin US Airport.R,17,gold,14,Sun Oct 18 2015 13:45:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17058,/competitions/rossmann-store-sales,855th
/quimcoll,R DataCamp Tutorial: Random Forest,"Hi all, Does anyone knows why the final exemple from the DataCamp tutorial (the one introducing Random Forests) scores less (0.799) than the previous exemples using Decission Trees (0.804)? I would expect Random Forest improve Decission Trees approach… Am I missing something? Thanks a lot!",0,None,4,Sun Oct 18 2015 16:48:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17059,/competitions/titanic,None
/chonglinsun,Anyone having trouble with CV?,"Hey guys, Do you have problems with CV for this competition. It's so wired that there's a big gap between CV and public leaderboard, 20+. Do anyone of you have similar problem? Thanks, Eric",0,None,3,Sun Oct 18 2015 18:51:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17060,/competitions/how-much-did-it-rain-ii,119th
/sudeepgupta90,SVR anyone?,"I am currently training a SVR on the data. I was just curious, if anyone else is going to try out SVR? Most people are working on Gradient Boosting Regression trees here.",0,None,4,Sun Oct 18 2015 19:42:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17061,/competitions/rossmann-store-sales,1649th
/gramolin,Second best solution,"Source code and brief description of the solution ranked second on the Private Leaderboard can be found at [Link]:https://github.com/gramolin/flavours-of-physics I'd like to congratulate the Go Polar Bears team and Josef Slavicek who also achieved very high scores. I'm very grateful to the Organizers for the opportunity to work on an exciting problem and to analyze real data from LHCb. Here are some thoughts regarding the technical details of the competition which I'd like to share: I realize that it was difficult to perfectly combine real and simulated data and make them indistinguishable from one another. By removing real background events from the region of invariant masses around the tau mass you, of course, made sure that there are no potential decays of tau to three muons among them. At the same time, you introduced a serious vulnerability, because now mass can be used to perfectly discriminate between signal and background. It was probably a bad idea to provide the agreement and correlation datasets to participants. Instead, I think it would be enough to just let them check the KS and CvM scores while making submissions (limited number of times). This would ensure that they don't overuse the tests. For me personally, it was sad that you didn't provide azimuthal (phi) angles of the particles. This limited our ability to use kinematics to analyze events. At the same time, it didn't prevent us to calculate the mass of the mother particle anyway. Despite all this, please don't stop your efforts to bring particle physicists and machine learning people together. We look forward to the next Kaggle competition from CERN!",11,gold,7,Sun Oct 18 2015 20:33:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17062,/competitions/flavours-of-physics,2nd
/vicensgaitan,Clipping & Spreading...  ,"How to get AUC= 0.99999216 passing all tests with a single xgboost model. (Without feature engineering, and using SPDhits)",5,silver,3,Sun Oct 18 2015 21:38:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17063,None,None
/niranjanmudhiraj,"Simple Logistic Regression on train data i got Acc: 78.59, on LB just 59.59. can anyone tell me what might be the reasons and how to fix this issue to get 78.59 on LB?",Thanks Advance.,2,bronze,12,Mon Oct 19 2015 03:19:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17065,/competitions/springleaf-marketing-response,1098th
/amhchiu,Heteroskedastic Reflectivity v Distance,"In these graphs, variance was calculated ONLY on Ref and RefComposite for each Id; it does not consider the variation in readings for the different percentiles, though this might be interesting too. There are some very high variances, because sometimes, radars don't record high values (0.5) for Reflectivity until half way through the hour (when it starts to record values as high as 50+). It's interesting that the variance reduces quite consistently as the radar distance increases.",0,None,1,Mon Oct 19 2015 06:11:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17066,None,None
/datacanary,Jitter Test for Overfitting notebook,This is a cool idea! Sorry about the annoying numpy error; I'll see about fixing it in our Docker container asap.,2,bronze,7,Mon Oct 19 2015 09:52:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17069,None,None
/normallydistrbuted,Simple Bag Of Words With RF (0.76428),Can someone please tell me why this won't run?,0,None,6,Mon Oct 19 2015 13:10:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17070,None,None
/cast42,Pandas pakot on Kaggle ?,"First line in my script is this: import pandas as pd copy it results in : Traceback (most recent call last): File ""../src/script.py"", line 8, in import pandas as pd File ""/opt/conda/lib/python3.4/site-packages/pandas/__init__.py"", line 7, in from pandas import hashtable, tslib, lib File ""pandas/src/numpy.pxd"", line 157, in init pandas.hashtable (pandas/hashtable.c:38262) ValueError: numpy.dtype has the wrong size, try recompiling copy",0,None,1,Mon Oct 19 2015 13:11:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17071,None,None
/wcukierski,Supplementary bonus data,"Deloitte has been working to assemble two additional sources of supplementary data. We have just uploaded the first of these sources to the competition data section: points_of_interest.csv.zip. It contains the location of a number of (you guessed it) points of interest, the proximity of which may affect rental prices. The second set of data will be posted within the coming days and will include demographic information on various regions. I'll update this thread once it is live.",5,silver,5,Mon Oct 19 2015 16:19:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17072,/competitions/deloitte-western-australia-rental-prices,None
/halfwit,Fear and Loathing,"I've got two submissions remaining, LB rank of three-hundred, seven cores at full capacity, a local run with auc > 0.8 still increasing, a half-full pot of coffee, case of beer, and 9.4 hours to go. Once you get locked into a serious kaggle competition, the tendency is to push it as far as you can. The only thing that really worries me is my small holdout dataset. There's nothing in the world more helpless and irresponsible and depraved than a black box algo in the depths of a model fit reporting a rotten validation score.",10,silver,10,Mon Oct 19 2015 16:59:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17073,/competitions/springleaf-marketing-response,288th
/jwegas,Is any kind of submitted model code's language appropriated?,"Hi Carissa! First of all, thank you so much for such awesome challenge! And now my little question: if I suggest model made via ""R"", am I asked to attached any install- and packages files to install R on any PC? Or I just may write all nessesary links? Or you already have R-enviroment and I have to upload a source code in *.R format only? Or something else?? Thank you!",1,bronze,2,Mon Oct 19 2015 17:43:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17074,/competitions/the-allen-ai-science-challenge,65th
/niranjanmudhiraj,Thanks to All.,"Great competition is going to end within hrs. i love this competition,because i had started my journey in kaggle with Springleaf Marketing Response.i learned many new things from this competition.Thanks to All my Dear kaggle friends.",6,silver,1,Mon Oct 19 2015 18:39:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17075,/competitions/springleaf-marketing-response,1098th
/mylesoneill,Lords of the seas over time,"Really cool visualization! The British vs. English thing caught me off at first, but other than that it looks great.",0,None,1,Mon Oct 19 2015 20:06:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17076,None,None
/anton79,Does it normally take so long to validate results?,"I joined Kaggle not long ago, so I'm just curious why it takes so much time to validate final results. Is it specific to this competition? For instance, Truly Native's results were validated on the next day.",1,bronze,8,Mon Oct 19 2015 21:36:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17077,/competitions/flavours-of-physics,9th
/wacaxx,Let's team up,"This challenge is going to be long and challenging with tons of new theory to learn and things to try out. So I'm creating this thread to find new team members. I'd like to team up with other data scientist/s for this challenge and I'm sure others would like to make their own teams too. Send me a message if you're interested. What I'm using: Language: Python Others: git, Github - Bitbucket",1,bronze,14,Tue Oct 20 2015 04:07:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17080,/competitions/the-allen-ai-science-challenge,None
/sudalairajkumar,Solution Sharing,"Congratulations Asian Ensemble, .baGGaj. and Merging the Mundane and Magic teams. Congrats to all other top finishers as well. Really interested in knowing the top solutions. We have tried quite a few algorithms but none of them helped when we tried to blend with GBMs. So finally we just blended three GBMs together in our model. I know from the forum posts that even a single GBM can take us well above 0.8 in the public LB. Eager to know what went (feature engineering and parameters) into such GBM models. Also will be very helpful to know what other algorithms gave a good boost alongside GBM. Thanks to all in advance for sharing your solutions.! Happy Kaggling :)",5,bronze,50,Tue Oct 20 2015 04:08:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17081,/competitions/springleaf-marketing-response,275th
/maneeshkm,Work flow in big teams,"I guess this is the first time I have seen large teams with more than 5 members. I am curious as to how one collaborates, ensembles and the workflow overall. It will be helpful for others in the future competitions to collaborate and understand what are the best practices.",5,bronze,3,Tue Oct 20 2015 06:26:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17082,/competitions/springleaf-marketing-response,169th
/sylvanas2013,sharing the submission files,Could we share our submission file to each other? I am curious about what would happen if we make just a simple combination of two team's result. I don't know whether it is allowable to share files here.,5,bronze,16,Tue Oct 20 2015 07:08:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17083,/competitions/springleaf-marketing-response,14th
/expmax,CV vs. LB score,"I cannot figure out why my LB score (~0.149) is so different compared to my 5-fold CV score (~0.228). This is pretty consistent so far while running DecisionTree and RandomForest models. The CV scores themselves vary quite a lot between the 5 folds, for instance: [-0.17153051, -0.30205963, -0.15225865, -0.20457856, -0.31163452] Has anyone seen this, how do deal with it? I hope I can figure out a way to do CV that is pretty consistent with the LB score.",0,None,3,Tue Oct 20 2015 07:13:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17084,/competitions/rossmann-store-sales,1901st
/mmueller,Introducing Xgbfi,"During this competion I started the development of a tool called [Link]:https://github.com/Far0n/xgbfi, which parses [Link]:https://github.com/dmlc/xgboost model dumps to collect feature interactions and to rank those by different metrics (as machete in the Springleaf jungle). So far it produces outputs like the one attached and I'm looking for contributors to judge the usefulness and to help integrating it into [Link]:https://github.com/dmlc/xgboost if it turns out to be a useful addition. cheers [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96755/3114/XgbFeatureInteractions.xlsx",27,gold,8,Tue Oct 20 2015 08:20:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17086,/competitions/springleaf-marketing-response,29th
/pierregutierrez,small leak ? ,"I wonder if there wasn't something close to an id in the dataset : VAR_ 0241 was the postal code, VAR_0237 region and VAR_0200 city. looking at VAR_0212, it seems to be something like an id : starting with postal code plus 6 other digits. looking at rows with common VAR_0212, most of the lines were the same. You could check on VAR_0404 and VAR_0493 (jobs) that the person was probably the same. I checked on google on several lines to have an idea of the number of person that could have the same jobs (how many person are Mental health counselor in Muncie Illinoy ? Probably not many. I think jobs should have been anonymised too by the way) Some dates like VAR_0217 or VAR_0204 were also the same. So a small hack was to get all the lines in the test with a seen ""id"" in train and put the mean of target seen in train instead of the predictions. The gain was huge : from a naive xgboost of 0.79321 we went up to 0.79787 on public leaderboard. Seems to have worked on private leaderboard too.",14,silver,1,Tue Oct 20 2015 11:39:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17088,/competitions/springleaf-marketing-response,249th
/abhishek,Beating the Benchmark ;),"I got a lot of requests during the competition for a benchmark script. So, as promised, here it is…. After all, its all about learning :D The script will easily give you 0.80+ in Public LB. In Private LB, you can easily get a top 10% rank using this script. With some modifications, this script gives top 30 rank out of 2200+ competitors…. not bad ha?! ;) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96791/3119/benchmark.py",39,gold,41,Tue Oct 20 2015 12:37:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17089,/competitions/springleaf-marketing-response,2nd
/dmi3kno,Filling Gaps in the Training Set,"Good job! As mentioned by [Link]:https://www.kaggle.com/dune_dweller all stores closed in 2014 are from [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17048/putting-stores-on-the-map. You can, therefore impute holidays based on Bavarian holiday schedule. With regards to imputation based on medians, this probably works fine, so long that the trend for the rest of stores is flat, but in fact the sales have been steadily growing over the whole 2014. In addition, StoreType is an important variable in explaining seasonality. Therefore, it might be a better idea to impute data by regression with trend and season elements (just as an idea). One more thing that keeps bugging me so much is the effect of weekends on accuracy of forecasts. What if you would impute values for weekends for closed stores based on last observed value (i.e. Friday sales) and use that (less volatile) dataset in ARIMA. Then, after forecasting on the test set, you suppress the weekend sales again to zero, as you have done for negative values here. Would that make your ARIMA model more robust? PS: I think we should only work with logSales transformation. Absolute Sales are too skewed for most statistical models in forecast package (correct me if I am wrong).",2,bronze,11,Tue Oct 20 2015 15:46:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17092,None,None
/dyakonov,Thread for reports of PZAD fellows,[Link]:https://github.com/Dyakonov/notebooks/blob/master/rossmann.ipynb,9,silver,11,Tue Oct 20 2015 16:31:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17094,/competitions/rossmann-store-sales,2331st
/operdeck,84 / 2223 = 10% ?,"Hi, Just curious on the math behind Kaggles calculation for the top-N % rating. Ending at 84 out of 2223 leaves me at 3.8% in my naive calculus. The Kaggle ranking I got is top 10% - while I thought there also existed a top 5% category. Or is this because people have teamed up so you would have to take the sum over the total participants above me? Thanks!",1,None,2,Tue Oct 20 2015 18:25:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17095,/competitions/springleaf-marketing-response,85th
/domcastro,Maximum Team Limit,"Hi, Now the ranking algorithm has changed in favour of teams, would it be good to implement maximum team member limits?",0,None,1,Tue Oct 20 2015 19:59:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17096,None,None
/zachmayer,Actual 8th grader,How well do actual 8th graders do on the leaderboard? Can we add another benchmark? =D,11,silver,10,Tue Oct 20 2015 22:04:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17098,/competitions/the-allen-ai-science-challenge,139th
/halfwit,xgb.train2,"I modified the R function of xgb.train a bit. New arguments: save.model= If true, save model output to disk save.dir= Directory to save model save.every.n= Interval between model saves Save.num0= Initial number to count from for filename (eg ""xgb.model_0"") gc.every.n= Garbage collect every n steps make.plot= Plots the evaluation score each step (total and last 100 steps) save.scores= If true, function outputs a list of scores and model rather than just model (ie extract model with bst[[2]]) copy Just put this at the beginning of your code and use xgb.train2 (or go edit xgb.train.R): require(xgboost) xgb.train2 <- function(params=list(), data, nrounds, watchlist=list(), obj = NULL, feval = NULL, verbose = 1, print.every.n=1L, early.stop.round = NULL, maximize = NULL, save.model=F, save.dir=getwd(), save.every.n=100L, save.num0=0, gc.every.n=10L, make.plot=T, save.scores=T, ...){ dtrain <- data if (typeof(params) != ""list"") { stop(""xgb.train: first argument params must be list"") } if (class(dtrain) != ""xgb.DMatrix"") { stop(""xgb.train: second argument dtrain must be xgb.DMatrix"") } if (verbose > 1) { params <- append(params, list(silent = 0)) } else { params <- append(params, list(silent = 1)) } if (length(watchlist) != 0 && verbose == 0) { warning('watchlist is provided but verbose=0, no evaluation information will be printed') } dot.params = list(...) nms.params = names(params) nms.dot.params = names(dot.params) if (length(intersect(nms.params,nms.dot.params))>0) stop(""Duplicated term in parameters. Please check your list of params."") params = append(params, dot.params) # customized objective and evaluation metric interface if (!is.null(params$objective) && !is.null(obj)) stop(""xgb.train: cannot assign two different objectives"") if (!is.null(params$objective)) if (class(params$objective)=='function') { obj = params$objective params$objective = NULL } if (!is.null(params$eval_metric) && !is.null(feval)) stop(""xgb.train: cannot assign two different evaluation metrics"") if (!is.null(params$eval_metric)) if (class(params$eval_metric)=='function') { feval = params$eval_metric params$eval_metric = NULL } # Early stopping if (!is.null(early.stop.round)){ if (!is.null(feval) && is.null(maximize)) stop('Please set maximize to note whether the model is maximizing the evaluation or not.') if (length(watchlist) == 0) stop('For early stopping you need at least one set in watchlist.') if (is.null(maximize) && is.null(params$eval_metric)) stop('Please set maximize to note whether the model is maximizing the evaluation or not.') if (is.null(maximize)) { if (params$eval_metric %in% c('rmse','logloss','error','merror','mlogloss')) { maximize = FALSE } else { maximize = TRUE } } if (maximize) { bestScore = 0 } else { bestScore = Inf } bestInd = 0 earlyStopflag = FALSE if (length(watchlist)>1) warning('Only the first data set in watchlist is used for early stopping process.') } if(save.scores==T | make.plot==T){ scores=matrix(nrow=nrounds, ncol=length(watchlist)) } if (save.model==T){ setwd(save.dir) } handle <- xgb.Booster(params, append(watchlist, dtrain)) bst <- xgb.handleToBooster(handle) print.every.n=max( as.integer(print.every.n), 1L) for (i in 1:nrounds) { succ <- xgb.iter.update(bst$handle, dtrain, i - 1, obj) if (length(watchlist) != 0) { msg <- xgb.iter.eval(bst$handle, watchlist, i - 1, feval) if (0== ( (i-1) %% print.every.n)){ cat(paste(msg, ""\n"", sep="""")) } if(save.scores==T | make.plot==T){ score = strsplit(msg,':|\\s+')[[1]][c(3,5)] scores[i,] = as.numeric(score) } if(make.plot==T){ par(mfrow=c(2,1)) plot(scores[1:i,1], type=""l"", ylim=range(scores[1:i,1]), ylab=""Score"", xlab=""Step"", main=paste(""Max:"", round(max(scores[1:i,1]),6), ""Current:"", round(scores[i,1],6))) plot(scores[max(1,i-100):i,1], type=""l"", ylab=""Score"", xlab=""Step"", main=""Last 100 Steps"") } if (0==((i-1) %% gc.every.n)){ gc() } if (save.model==T && 0==((save.num0 + i-1) %% save.every.n)){ xgb.save(bst, paste0(""xgb.model_"",save.num0+i)) } if (!is.null(early.stop.round)){ score = strsplit(msg,':|\\s+')[[1]][3] score = as.numeric(score) if ((maximize && score>bestScore) || (!maximize && score<bestScore)){ bestScore = score bestInd = i } else { if (i-bestInd>=early.stop.round){ earlyStopflag = TRUE cat('Stopping. Best iteration:',bestInd) break } } } } } bst <- xgb.Booster.check(bst) if (!is.null(early.stop.round)){ bst$bestScore = bestScore bst$bestInd = bestInd } if(save.scores==T){ return(list(scores,bst)) cat(""Warning: Output is list of [[1]]Eval scores and [[2]]xgb.model"") }else{ return(bst) } } environment(xgb.train2)=environment(xgb.train) copy",4,bronze,1,Wed Oct 21 2015 00:27:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17100,/competitions/springleaf-marketing-response,288th
/kagglemaruf,Need a team mate,any one interested to team up with me .,0,None,9,Wed Oct 21 2015 01:02:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17102,/competitions/noaa-right-whale-recognition,None
/kanishkamisra,Lucky names,Interesting!,0,None,9,Wed Oct 21 2015 06:08:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17103,None,None
/mikeskim,kaggle bot project via scripts?,"I'm wondering if Kaggle would support an effort for a Kaggle bot massive script that automates all of Kaggle based ML using all of Kaggle data. The vision is to create a Kaggle script (more like a project) that uses Kaggle data to automate all of machine learning with a touch of crowd sourcing because it would leverage Kaggle scripts and the public LB. This isn't a Kaggle script for a single competition, but a Kaggle script that leverages all of Kaggle's data on prior competitions, results, and NLPs the actual code and descriptions. It would likely need significantly more resources and access to all of Kaggle's public resources/data. So this would be mostly automated ML except the bot would have access to human written scripts and any data on the forums, prior competitions, etc. It would be community driven, written by Kagglers to rule (or automate) Kagglers. I could do this alone but it would probably violate some rules and it wouldn't be seen as legit. It would be better to let Kagglers create their own open source overlord. Kaggle bot might even eventually win (tie) a competition! It should be noted that Kaggle is probably the only place that holds all the data for making learning to learn a reality. If you expect learning to learn to happen at scale in the next few years, it's unlikely to come from any other source.",0,bronze,1,Wed Oct 21 2015 08:59:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17104,None,None
/darraghdog,Test Set Data,"""This leaderboard is calculated on approximately 39% of the test data. The final results will be based on the other 61%, so the final standings may be different."" Is the 61% test set data to cover the same period as the 39%, ie. from 2015-08-01 to 2015-09-17 ?",0,None,3,Wed Oct 21 2015 09:43:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17106,/competitions/rossmann-store-sales,1032nd
/coderzombie,Build on Median DayOfWeek Benchmark,"If you don't mind sharing, what's your LB score on this?",0,None,1,Wed Oct 21 2015 11:29:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17107,None,None
/herka1,random_forest_notebook,"Hi, I was wonder if it should not rather be a RandomForrestRegression since the Output(Sales) is not discrete but continuous? But thanks for the ""LabelEncode"" trick, this is way easier than creating pd.dummy variables as I did before .",0,None,1,Wed Oct 21 2015 15:24:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17108,None,None
/santiagomota,Western Australia Rental Prices for New Masters,I am wondering if it would be possible for new Kaggle Masters to enter at Western Australia Rental Prices competition?,0,None,1,Wed Oct 21 2015 15:36:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17109,None,None
/mrooijer,Why is XGBoost so unstable?,"Running XGBoost with the same stopping set (10,000 rows) and the same training set I get quite different results depending on the order of the columns only!! In the first example the calculated day/week etc. are generated before we merge with store and the second example after that merge. I have verified that the training data is identical .The index for the stopping set is loaded from a saved file. Nevertheless, the first example has difficulties getting past 0.3. I have never seen this behaviour from xgboost before and I am at a loss explaining it. NOTE: see below in this thread for the solution. # params ""objective"" = ""reg:linear"" , ""booster"" = ""gbtree"" , ""eta"" = 0.02 , ""subsample"" = 0.9 , ""colsample_bytree "" = 0.7 , ""min_child_weight"" = 1 , ""max_depth "" = 10 #month/year/day/week after school holiday [0] val-RMPSE:0.999836572052907 train-RMPSE:0.999837340059955 [10] val-RMPSE:0.998707182224457 train-RMPSE:0.99871335734108 [20] val-RMPSE:0.99529256810475 train-RMPSE:0.995315235531928 [30] val-RMPSE:0.987132108206205 train-RMPSE:0.987194429807926 [40] val-RMPSE:0.971074668161527 train-RMPSE:0.971220260649454 [50] val-RMPSE:0.944172561778852 train-RMPSE:0.944465084602155 [60] val-RMPSE:0.904688915516126 train-RMPSE:0.905221553428433 [70] val-RMPSE:0.852783876827634 train-RMPSE:0.85369032723979 [80] val-RMPSE:0.790598139464374 train-RMPSE:0.792036232989524 [90] val-RMPSE:0.721595050058472 train-RMPSE:0.723792313646325 [100] val-RMPSE:0.650007499885188 train-RMPSE:0.653274121796941 [110] val-RMPSE:0.580040177971752 train-RMPSE:0.584663607166349 [120] val-RMPSE:0.515368939291944 train-RMPSE:0.521714705402044 [130] val-RMPSE:0.45865917023112 train-RMPSE:0.466921751204247 [140] val-RMPSE:0.41185811440571 train-RMPSE:0.422346753803882 [150] val-RMPSE:0.37566515473905 train-RMPSE:0.388382975014481 [160] val-RMPSE:0.349297968173066 train-RMPSE:0.364209835644012 [170] val-RMPSE:0.331912700440372 train-RMPSE:0.348852562742267 [180] val-RMPSE:0.321093239896723 train-RMPSE:0.339639610926511 [190] val-RMPSE:0.314679404761632 train-RMPSE:0.334800414890242 [200] val-RMPSE:0.311311950030299 train-RMPSE:0.332724647259763 [210] val-RMPSE:0.310596186787082 train-RMPSE:0.332731912781239 [220] val-RMPSE:0.310545323361312 train-RMPSE:0.333499419724416 [230] val-RMPSE:0.311636544378939 train-RMPSE:0.335148413331441 [240] val-RMPSE:0.31261936135246 train-RMPSE:0.336983904616379 [250] val-RMPSE:0.313773393489895 train-RMPSE:0.338268204619507 [260] val-RMPSE:0.313594576810742 train-RMPSE:0.338744502834608 [270] val-RMPSE:0.314120017040747 train-RMPSE:0.339676503786446 [280] val-RMPSE:0.314942872150805 train-RMPSE:0.340540109132856 [290] val-RMPSE:0.314504899126241 train-RMPSE:0.340531470144144 [300] val-RMPSE:0.314655467908389 train-RMPSE:0.341096557348615 [310] val-RMPSE:0.313995203741096 train-RMPSE:0.340827480426314 [320] val-RMPSE:0.31373868228948 train-RMPSE:0.341000140234908 [330] val-RMPSE:0.313414520256347 train-RMPSE:0.340908554294614 [340] val-RMPSE:0.312086031840866 train-RMPSE:0.339849452917061 [350] val-RMPSE:0.310594096627518 train-RMPSE:0.339032947050048 [360] val-RMPSE:0.309778677168419 train-RMPSE:0.338454575744002 [370] val-RMPSE:0.3082628359392 train-RMPSE:0.337554376426419 [380] val-RMPSE:0.30726845588999 train-RMPSE:0.336801514270273 [390] val-RMPSE:0.304720949743093 train-RMPSE:0.334993308604182 [400] val-RMPSE:0.303276658869625 train-RMPSE:0.333930092524634 ... #month/year/day/week after store data [0] val-RMPSE:0.999836701142645 train-RMPSE:0.999837457852173 [10] val-RMPSE:0.998710738064015 train-RMPSE:0.998716836532567 [20] val-RMPSE:0.995316031071507 train-RMPSE:0.995338338783972 [30] val-RMPSE:0.987225235682115 train-RMPSE:0.987286176980305 [40] val-RMPSE:0.971336892046749 train-RMPSE:0.971474929565843 [50] val-RMPSE:0.944746473315005 train-RMPSE:0.945021406693872 [60] val-RMPSE:0.905773559679744 train-RMPSE:0.906261827962166 [70] val-RMPSE:0.854490837604848 train-RMPSE:0.85531894995821 [80] val-RMPSE:0.792751315969337 train-RMPSE:0.794129083714376 [90] val-RMPSE:0.723903470614079 train-RMPSE:0.726058407807867 [100] val-RMPSE:0.651787404706884 train-RMPSE:0.655056540882284 [110] val-RMPSE:0.580205650345462 train-RMPSE:0.584900847100491 [120] val-RMPSE:0.512310013400486 train-RMPSE:0.518859986270993 [130] val-RMPSE:0.450666122330456 train-RMPSE:0.459420620733496 [140] val-RMPSE:0.39683539387342 train-RMPSE:0.408229864206746 [150] val-RMPSE:0.351597957485977 train-RMPSE:0.366115427802202 [160] val-RMPSE:0.315172198810828 train-RMPSE:0.332867522054599 [170] val-RMPSE:0.287433000922807 train-RMPSE:0.308259998418167 [180] val-RMPSE:0.266878577303463 train-RMPSE:0.290541246148632 [190] val-RMPSE:0.252444130700443 train-RMPSE:0.278572657138163 [200] val-RMPSE:0.241970080485099 train-RMPSE:0.270275925556521 [210] val-RMPSE:0.234801841189784 train-RMPSE:0.264912686174035 [220] val-RMPSE:0.229886755872739 train-RMPSE:0.261459996659047 [230] val-RMPSE:0.226132665865571 train-RMPSE:0.258960219952555 [240] val-RMPSE:0.223725094078844 train-RMPSE:0.257593831087196 [250] val-RMPSE:0.222317604016805 train-RMPSE:0.257164533392381 [260] val-RMPSE:0.218066093295959 train-RMPSE:0.254187141462608 [270] val-RMPSE:0.216231751775107 train-RMPSE:0.252183444206579 [280] val-RMPSE:0.21354627720977 train-RMPSE:0.25029465459927 [290] val-RMPSE:0.212230247638288 train-RMPSE:0.249501411146821 [300] val-RMPSE:0.209819883060485 train-RMPSE:0.247722004902155 [310] val-RMPSE:0.206021097583701 train-RMPSE:0.244653617142138 [320] val-RMPSE:0.203714980269229 train-RMPSE:0.24186199841783 [330] val-RMPSE:0.200850075571223 train-RMPSE:0.239790587751016 [340] val-RMPSE:0.198806893645959 train-RMPSE:0.237626000960854 [350] val-RMPSE:0.196426535915216 train-RMPSE:0.235269372507643 [360] val-RMPSE:0.193429958527206 train-RMPSE:0.232661676174126 [370] val-RMPSE:0.189847073844374 train-RMPSE:0.229779324844603 [380] val-RMPSE:0.187736632877211 train-RMPSE:0.227578086393029 [390] val-RMPSE:0.185919110644729 train-RMPSE:0.225804774126768 [400] val-RMPSE:0.182798572529619 train-RMPSE:0.223358857391178 copy ….",5,bronze,59,Wed Oct 21 2015 15:58:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17110,/competitions/rossmann-store-sales,808th
/dmi3kno,Macro indicators,"Although competition organizers [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/16905/clarification-on-future-external-data/95523#post95523 that they do not believe that economic data can explain much, I found the relationships between Rossmann store sales and some of the [Link]:http://www.fxstreet.com/economic-calendar/country.aspx?id=0fec4aa3-5b4e-4ff3-b4fd-dff6ada762ac interesting. [Link]:http://www.fxstreet.com/economic-calendar/event.aspx?id=ac03bcb4-2167-4906-aeb6-76a9164839e8 (produced on monthly basis by [Link]:http://www.gfk.com/news-and-events/press-room/press-releases/pages/german-consumer-optimism-declines.aspx). Latest value for October 2015 is 9.6. The datasource seems to be credible and consistent with [Link]:http://www.bloomberg.com/quote/ECO1GFKC:IND. You may want to experiment with shifting the data back and forth one month to better match the signalling effect of CCI. The chart below abuses scaling a little bit (""if you torture the data long enough, it will confess"") [Link]:http://i58.tinypic.com/2me1due.png OECD has its own version of CCI [Link]:https://data.oecd.org/leadind/consumer-confidence-index-cci.htm#indicator-chart indexed to some long-term average. [Link]:http://www.fxstreet.com/economic-calendar/event.aspx?id=3a5b7999-2b38-45a7-8318-6098026f0fa9 and [Link]:http://www.fxstreet.com/economic-calendar/event.aspx?id=729e8791-c2f6-4f8f-8567-29dfb8cdfaa7 retail sales can help your ARIMA models. [Link]:http://i61.tinypic.com/2nv8ktj.png [Link]:http://www.fxstreet.com/economic-calendar/event.aspx?id=874f3983-4dbc-42bd-a44f-9b3c33acfec8 measured on MoM basis (monthly inflation) can explain some volatility in sales for low-performing stores [Link]:http://i61.tinypic.com/67s0hc.png Now, question to Competition Organizers: since the macro data is publicly available also for the test period, is it allowed to use these time series in our models? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96978/3125/CPIplot.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96978/3126/CCIplot.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96978/3127/allplots.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96978/3128/Retailplot.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96978/3129/salesMoM.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96978/3130/GfK_CCI.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96978/3131/macrodata_plots.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/96978/3132/CPIMoM.csv",14,gold,13,Wed Oct 21 2015 18:50:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17111,/competitions/rossmann-store-sales,242nd
/halfwit,"""Email me when someone replies"" checked by default",I don't want to receive any emails but keep forgetting to deselect this. Is there an option to turn this off permanently?,1,bronze,1,Wed Oct 21 2015 19:02:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17112,None,None
/damianfondevila,Final score for both competing models,"HI, I just participated in the Springleaf Competition. The final score (on the private set) is just out but we get a ranking for one (the best) submitted model. We would like to know to which of the 2 submitted models this corresponds to and also like to know the score of the other partipating model as well. Is that possible? Thak you!!! Dames",0,None,1,Wed Oct 21 2015 20:58:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17114,None,None
/halfwit,LB score: 289905092216.41200,What happened there?,0,None,5,Wed Oct 21 2015 22:47:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17115,/competitions/rossmann-store-sales,41st
/tantanchen,XGBoost parameter tuning template,"Thanks for sharing! I'm new to xgboost, and I have a question about the evaluation. The formula takes the difference of the actual sales and predicted sales, but where does the model get the actual sales? I see that you have removed the actual sales from train",0,None,5,Wed Oct 21 2015 22:48:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17116,None,None
/anwjones,End of Week 1,"The competition is looking good. Some enthusiastic participants jostling for position at the top of the Leader Board. But many teams still to put a toe in the water ! Beware of Over-fitting and Over-Confidence! The way the competition works is that the final mark is based on a ""hold out"" sample which is only used for the final mark. In practice this means that the Leader Board is only a guide to how well your model is doing, not a ruler. If you submit multiple entries and base your choice of model on the Leader Board you will tend to overfit to the exposed portion of the test set and do less well on the final hold out sample. There are various techniques you can use to reduce overfitting. N-fold cross validation is probably the gold standard, but other simple things can help. For example add some random variables to the feature set and exclude any variable that ranks below a random variable. You can also measure the residual variation and see how close to binomial it is. If you are doing well, please post any tips or tricks that newbies may find useful.",0,None,3,Thu Oct 22 2015 00:14:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17117,/competitions/ai-2015,None
/robmdeutsch,What software stack are using?,"I am using: Python 2.7 Jupyter i.e. IPython pandas and naturally numpy as well scikit-learn although its yet to be used in my model I'm running it all on a virtual machine hosted on Digital Ocean, which makes it very easy to toy with it at work when I get the urge during my lunchbreak. What software stack are using?",0,None,1,Thu Oct 22 2015 04:25:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17118,/competitions/ai-2015,39th
/benhamner,Graphlab Create testing,"Graphlab currently only supports Python 2, and we're running Python 3.",0,None,1,Thu Oct 22 2015 05:59:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17119,None,None
/doubletree,How to Tuning XGboost in an efficient way,"Yesterday, I try to tune the XGboost model using a grid search in R. By reading the manual, I found that the following parameters can be tuned in a tree regression model: 1, eta, 2,gamma, 3,max_depth, 4,min_child_weight, 5,max_delta_step , 6,subsample, 7,colsample_bytree, 8, lambda, 9, alpha As naive as I was, I picked 6 candidate values for each parameter. Then I try to list all the combinations of the parameters. And then….my computer crashed. A simple calculation revealed the reason, there are 9 parameters, so there are 6^9 combinations, which equal to 10077696! listing all the combinations will generation a huge Data frame. And there is no way I can search all the combinations to get an optimal parameter set using CV. So my questions are: Are there any short cut to tune XGboost? 2.What are the most important parameters to tune? Can I determine some of the parameters without CV, but using simple formula(such as sqrt of N,etc)? What parameters are sample size independent (or in-sensitive). Then I can tune those parameters with small number of samples. Are there parameters that are independent of each other. If so, I can tune one parameter without worry about it's effect to the other. Any experience/suggestions are welcomed!",66,None,12,Thu Oct 22 2015 06:00:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17120,None,None
/airobot,"Hi everyone, can we use pre-trained models?",ATT,-1,None,3,Thu Oct 22 2015 07:54:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17121,/competitions/noaa-right-whale-recognition,37th
/wildwizard,Which Linux distro for data science?,"Hello dear fellows I plan to create a linux virtual machine for some work needs, but the environment choice is not too important for these. So I figured out that I might as well choose my fate depending on which is the better distribution for data science needs, as some tools/package/whatever might be available for some distros and not other? I mainly work under python, so I guess anything is portable in this context, but if I were to extend the tools I use to different things, which distribution would be the most flexible/open/filled of good tools? Thanks by advance",5,None,21,Thu Oct 22 2015 09:19:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17122,None,None
/nlothian,Scripts etc.,"Anyone want to share scripts etc? I've seen a lot of people having trouble doing anything useful with the CK12 ebooks. I've written a script to extract key facts from them. See [Link]:https://github.com/nlothian/kaggle-allen-opensource Personally I haven't found that very useful yet, but I'm hoping I can get some use from it for a subset of the questions. What are others working on? I've been considering implementing [Link]:http://arxiv.org/abs/1501.03471, but I'm not at all convinced it is going to help: they only consider ""is-a"" relationships, and this needs a lot more relationship types. There aren't really many factoid type questions in there. Despite this, I've started on a Spark/GraphX based implementation. I've previously looked at [Link]:https://github.com/percyliang/sempre. I think that could help on a subset, but there's a lot of work to get it working. This paper is interesting: [Link]:http://allenai.org/content/publications/ie-vs-sp.pdf",4,bronze,3,Thu Oct 22 2015 12:07:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17123,/competitions/the-allen-ai-science-challenge,43rd
/manoranjankumar,only 100 pixels in R,"Hi there.. I am loading the data in R, but it is showing only the top 100 pixels instead of 783. help me out…",0,None,1,Thu Oct 22 2015 12:16:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17124,/competitions/digit-recognizer,None
/secauvr,How to extract this features in a faster way,"I would like to get the mean sales for the same month 1 and 2 years ago. I did the code below: def add_group_features(row): row.sort('Date', inplace=True) for index, current in row.iterrows(): year = current.year - 1 month = current.month - 1 if month == 0: month = 12 year = year -1 if year < 2013: year = 2013 old_row = row[(row.year == year) & (row.month == month)] if len(old_row): row.set_value(index, 'mean_year_-1', old_row.Sales.mean().astype(int)) year = year -1 if year < 2013: year = 2013 old_row = row[(row.year == year) & (row.month == month)] if len(old_row): row.set_value(index, 'mean_year_-2', old_row.Sales.mean().astype(int)) copy Thanks in advance, Secau",0,None,1,Thu Oct 22 2015 16:07:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17126,/competitions/rossmann-store-sales,None
/secauvr,How to check if store was closed yesterday,"I sorted the df by date and tryed to check if df.shift.Open == 0 and df.Open == 1 but the date are not continuous. Does anyone here have a idea how can I check if the store was closed yesterday ? Thanks in advance, Secau",0,None,4,Thu Oct 22 2015 16:12:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17128,/competitions/rossmann-store-sales,None
/mahi83,Teaming up with me,"Hi, I have no idea how to do this competition at all. I was wondering if anyone would be willing to team up with me or at least guide me on what to do. I think this is a great experience and something I can learn a lot from.",0,None,5,Thu Oct 22 2015 19:02:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17129,/competitions/the-allen-ai-science-challenge,None
/jasontam,Google Trends,"Sup fam, I've been playing around with using [Link]:http://www.google.com/trends/ as an external source of data. For example, I looked at the trend for the query [Link]:https://www.google.com/trends/explore#q=rossmann&geo=DE&date=1%2F2013%203m&cmpt=q&tz=Etc%2FGMT%2B4. You can even select a specific state if you want. They also provide related queries like 'dm' - competitor, 'öffnungszeiten ' - opening times etc . If you have a google account, you can download the data as a csv (click on the 3 dots on the top right). You can automate the download of data using [Link]:https://github.com/dreyco676/pytrends - and I'm sure there are other API libs for other languages. Attached is an obligatory plot for the query 'rossmann'. It would be fun to see how useful the related query trends are - or other queries like 'shampoo' etc. I hope someone can make good use of this data. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97119/3154/gtrends.png",16,gold,21,Thu Oct 22 2015 22:36:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17130,/competitions/rossmann-store-sales,15th
/willieliao,Missing points and competitions,"Facebook Recruiting Competition (Id=2947) awarded 1e-16 points even though it did award tiers. Was this a mistake in the setup? Other recruiting competitions awarded both points and tiers. With the exception of the one FB competition above, all the recruiting competitions that did not award money are absent in the data dump. Was this by design?",0,None,1,Thu Oct 22 2015 23:43:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17131,None,None
/clayging,Simple question about path location,"Just have a really quick question about this part of the tutorial: Set location of data files, folders path = … not sure about how the format of typing the path location Is it supposed to be a string? Keep getting syntax errors when I run it. Thanks for your help",0,None,2,Fri Oct 23 2015 03:35:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17132,/competitions/street-view-getting-started-with-julia,None
/bishwarup,Clarification on Kaggle public scripts,"Hi, I am wondering since the public script available in Kaggle has no seed mentioned on it and hence it becomes a challenge to reproduce the result in a different environment - Is it legit to use the public submission file in one of my ensembles? Or I can only use that for bagging with other solutions if I can reproduce the same result in local environment? Thanks for your help.",2,bronze,7,Fri Oct 23 2015 07:41:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17133,/competitions/rossmann-store-sales,10th
/kelexu,Open = 0 means Sales = 0?,"As we can see that: in the test data, some shops are closed during several specified days. So, I would like to set the sale as 0 in the prediction if they are closed. But I have made a comparison between using setting those prediction values to 0 and without using the values to 0 (but just based on the prediction), it seems that the Leaderboard always gives me the same performance evaluation. Does it mean all of the data which Test$Open = 0 is always in other 61%? Or I am complete wrong? Thanks for your help.",1,None,2,Fri Oct 23 2015 08:57:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17134,/competitions/rossmann-store-sales,145th
/fsimond,Very high (and unexplained) sales ?,"Hi, I can't figure out why, at some point, some stores achieve weirdly high results in terms of sales, and right after that, weirdly low sales. I have two examples, but there may be much more. As you can see in the attached files, a weird thing happens on 2015/06/22 with store 909, while the maximum sales before that was around 21'000, the store gets an incredible day at more than 40'000. And same for the minimum, the minimum was around 5000, and after this event it comes to around 1000… The same thing happens with store 292 on 2015/06/29 Any guess ? What could cause such a weird week ? I've tried to search for something that happened on these dates in Germany, but haven't found anything… [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97154/3157/292-600.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97154/3158/909-600.png",2,bronze,3,Fri Oct 23 2015 12:03:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17135,/competitions/rossmann-store-sales,16th
/neerajgarg,How to handle missing customers field in test dataset,"Hi, I've been wondering that there is no customers count field in the test data set, which seems to be logical too. Because, sales would eventually depend on the number of customer along with other parameters. So, could anyone help understand that if we have to forecast customers count before prediction of sales. Thank you in advance, Neeraj",0,None,5,Fri Oct 23 2015 13:39:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17137,/competitions/rossmann-store-sales,1709th
/neerajgarg,missing values in stores dataset,"Hi, I'm looking for a way to fill in the missing values in the stores dataset. I've tried using mice package of R. However, no significant gain in the output. Could someone point out the way to tackle missing values in the stores dataset. Regards, Neeraj",0,None,1,Fri Oct 23 2015 13:41:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17138,/competitions/rossmann-store-sales,1709th
/siratnys,RMPSE xgb,"Hi, I am still struggeling with the RMPSE as evaluation criterium, eventhough I have set the rmpse as parameter: para_rmpse <- list( objective = ""reg:linear"" , eta = 0.01 , booster = ""gbtree"" , subsample = 0.7 , colsample_bytree = 0.5 , min_child_weight = 6 , max_depth = 30 , alpha = 4 , nthreads = 6 , feval = rmpse ) copy and used the rmpse code form the Forum: rmpse <- function(preds, xgtrain) { labels <- getinfo(xgtrain, ""label"") elab <- exp(as.numeric(labels)) epreds <- exp(as.numeric(preds)) err <- sqrt(mean((epreds/elab-1)^2)) return(list(metric = ""RMPSE"", value = err)) } copy and set the before mentioned parameter set into the model equation: model = xgb.train( nrounds = 100 , params = para_rmpse , data = xgtrain , maximize = FALSE , early.stop.round = 30 , watchlist = watchlist , print.every.n = 5) copy I still get rmse as output: [0] val-rmse:8.185214 The value is only that small since I use log(target) as label. Any ideas? Cheers Tom",0,None,3,Fri Oct 23 2015 16:53:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17140,/competitions/rossmann-store-sales,2739th
/aguschin,First place solution,"Hi everyone! Finally, here goes our solution. We should have posted it a bit earlier, but I hope everyone will still find something interesting in it anyway. You will find model explanation in .pdf and code in .ipynb files. We tried to make solution consize for sake of convenience. [Link]:https://github.com/aguschin/flavours-of-physics",13,silver,3,Fri Oct 23 2015 21:08:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17142,/competitions/flavours-of-physics,1st
/secauvr,Inconsistent co-relationship between cross validation and LB,"I tryed 2 types of cross validation: TestSplit: train_i1, test_i1 = train_test_split(np.arange(len(df)), train_size=train_size, random_state=12345) train_i2, test_i2 = train_test_split(np.arange(len(df)), train_size=train_size, random_state=1) cv_ = zip([train_i1, train_i2], [test_i1, test_i2]) and date split: train = df[df.Date < '2015-05-01'].index test = df[df.Date >= '2015-05-01'].index cv_ = zip([train], [test]) But improvements in local score does not improve LB score, contrariwise, some times my CV getting better and LB getting worst. How is the correct way to cross validate in this challenge ? Regards, Secau",1,None,6,Fri Oct 23 2015 22:37:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17143,/competitions/rossmann-store-sales,None
/kunaljasty,RandomForestPython,I think there's a bug in line 40. data['PromoOpen'] = data.CompetitionOpen.apply(lambda x: x if x > 0 else 0) should be data['PromoOpen'] = data.PromoOpen.apply(lambda x: x if x > 0 else 0),4,bronze,1,Fri Oct 23 2015 23:00:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17144,None,None
/riotboyer,Trouble with Alteryx,"I am trying to do this to perfect my skills with alteryx. I have done the Titanic competition with decent success. I am now trying this comp, and we got a decent score by running a decision tree with basic variables, but trying to improve the score has been a difficult task. I run into the following problems: I set address as a V_WString, but it usually causes my run to stall out around 28% in the decision tree. I have left it on for hours and it stayed the same. I set Date to Date time and am unable to use it as a variable in my decision tree. I also split the date and time into two columns and set them to date and time respectively, but I am still unable to use them in my decision tree. Any advice on how to better work this issue? Thank you in advance.",0,None,4,Sat Oct 24 2015 02:13:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17145,/competitions/sf-crime,620th
/ask788,What's stopping someone from cheating?,"Sure, if you cheat you won't be eligible to win a prize but what's stopping someone from easily cheating for Kaggle points or bragging rights? Even if you win, you can refuse the prize so technically you can still be the winner, refuse the prize, and go around telling anyone that you won it or did great in it. ESPECIALLY, if you want to be a Master. This competition is basically a free gift to you.",1,bronze,2,Sat Oct 24 2015 07:55:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17146,/competitions/the-allen-ai-science-challenge,None
/wdfcoder,Are SQL databases helpful in Deep Learning?,I am building a system for Deep Learning. Is a SQL database helpful or am I better off with CSV or a lighter weight database.,0,None,3,Sat Oct 24 2015 10:06:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17147,None,None
/nrcjea001,Grouping erroneous factors into a single factor,"Hi For this specific machine learning problem, I have a data set with numerous features. I'm not too worried about the interpretability of my data set as the intention is to optimize prediction. I am concerned about computation time/memory as well as the number of training examples I have at my disposal. The problem at the moment is how to deal with features that have many factors, some of which are erroneous. For example, lets assume I have a feature called ""Names"". In that feature I have three correct factors ""Bob"",""Fred"", ""Jason"" and three erroneous factors ""A"", ""B"", ""C"". These erroneous factors arise, say, because of a misspelling. Lets also assume that every other element in the training example that relates to the erroneous factor is correct. The training example may thus contain within it relevant information about the response variable because of the other features. Hence, although the ""Names"" features is of great importance to me, I do not want to remove training examples, i.e. remove valuable information, where factors of ""Names"" are erroneous. To deal with this problem I could leave everything as is i.e. ""A"", ""B"" and ""C"" are left as factors in the model. However, this adds to computation time/memory. So I propose grouping all erroneous factors into a single factor, say ""U"". Specifically, the approach I would follow is to remove training examples where there are few pertaining to a specific erroneous factor, and where there are many group them into ""U"". My questions are thus: What are the implications of following this approach in terms of prediction? Are there any other ways to tackle this problem? Thank you for your time and your assistance, J-M",0,None,1,Sat Oct 24 2015 13:19:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17149,None,None
/realdeo,Is the question obfuscated or just bad?,"The question makes no sense to me. For example: What are following would be a remote deep-sea hydrothermal vent. Based on this observation, what on the bread. How would someone from the 1500's and someone from the present explain this observation? A. protista B. 1500's: the bread changed into mold; today: the bread changed into mold C. probability of inherited traits D. using disposable diapers I'm having hard time to understand questions like this (despite I kinda understand what is the question writer is trying to aim?) Even the options makes no sense. Judging by the options, I don't think that the question is made by computer (like option B).",1,bronze,11,Sat Oct 24 2015 14:49:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17150,/competitions/the-allen-ai-science-challenge,None
/codingfun,All the ingredients in each cuisine,"Guys, this is my first competition and I haven't finished my prediction yet…Just put something mapbe useful here. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97252/3172/x_df.Rdata",0,None,2,Sat Oct 24 2015 17:59:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17152,/competitions/whats-cooking,1227th
/yilihome,simple xgboost in r with 0.78962 on leaderboard,[Link]:https://www.kaggle.com/yilihome/whats-cooking/simple-xgboost-in-r/code Any other ideas to try?,0,None,1,Sat Oct 24 2015 18:03:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17153,/competitions/whats-cooking,1st
/rachar1,AVG Age Married & Divorced per State!!,"Good one. I have a question: What is the purpose of the following statement? 10 Pop_state <- subset(popdata, MAR = c(1,2,3,4) , select=c(ST)) copy Could you review what you intended and what it produced? If you intended to limit the rows, you need to use 'MAR== ' instead of 'MAR= ' .",1,bronze,1,Sat Oct 24 2015 19:22:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17154,None,None
/tkchaudhary,The average value for final standing seem to be wrong !,"It was mentioned during the competition that submission for week 5 in not required and that is what is seen in the result of week 7 . The final results table includes a column ""week5"" which is causing the final standing to chance . Please correct me if I am wrong.",1,None,1,Sun Oct 25 2015 03:43:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17156,/competitions/think-big-usyd-semester-2-2015,186th
/zotsing,"shouldn't the unit of ""Ref"" be dbz instead of km?","After reading some supporting materials, I feel like the unit of Ref should be ""dbz"", otherwise it cannot be used in the Marshall-Palmer formular, or I missed something？ Confused。。。",0,None,2,Sun Oct 25 2015 05:14:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17157,/competitions/how-much-did-it-rain-ii,287th
/oneoff,Is there R version of sample_dask.py ?,"Hi, is there R version of sample_dask.py ?",0,None,1,Sun Oct 25 2015 17:01:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17159,/competitions/how-much-did-it-rain-ii,459th
/shearerp,Has anyone managed LB<0.105 using a non-tree based method?,"I played a lot with features and formulas in glmnet and got some modest improvements; something like 0.134 to 0.133 was a relatively big victory. Meanwhile the XGBoost crowd is way down at 0.104. I felt there was no way to close the gap so I gave up and embraced my inner XGB (pronounced ""kzuh-jib"", or ""zuh-jib"" if you're feeling lazy). But… is there truly no other competitive algorithm? Is this competition basically a race to throw features into XGBoost and tweak its hyperparameters as quickly as possible?",1,None,24,Sun Oct 25 2015 18:47:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17160,/competitions/rossmann-store-sales,708th
/alessandronegrini,Checkpoint meaning,"I am wondering which is the exact meaning of the checkpoints. In other words, the meaning of the checkpoint 'Top Rated' is that theoretically, that score can be achieved just using a Top Rating algorithm, without using any content-based or CF algorithms, or am I wrong ? Thanks AN",0,None,1,Sun Oct 25 2015 20:23:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17161,/competitions/recommender-system-2015-challenge-polimi,15th
/remap1,External data: world cup dates,I'm using the dates from this page: [Link]:http://www.fifa.com/worldcup/archive/brazil2014/teams/team=43948/matches.html,3,bronze,6,Mon Oct 26 2015 12:26:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17163,/competitions/rossmann-store-sales,878th
/serdyukovpv,"Reminder: We welcome speaker proposals for our NIPS workshop, deadline is on the 26th of October.","We encourage the participants of the ""Flavours of Physics"" challenge to participate in the NIPS workshop and report about their experiences in this challenge, their solutions and recommendations for the future competitions. [Link]:http://yandexdataschool.github.io/aleph2015/ In order to participate as a speaker or with a poster, you need to submit a proposal. When describing your approach, please, focus on its aspects that make it most unique w.r.t. other/standard approaches, in your opinion. The proposal should be around 500-1000 words. It should be submitted via EasyChair by the 26th of October. [Link]:https://easychair.org/conferences/?conf=aleph2015 The notifications of speaker/poster proposal acceptance will be due on the 2nd of November. We are looking forward to see you at the ALEPH workshop at NIPS! PS: If you need a bit more time than that is left to send us a proposal, please, let us know.",0,None,3,Mon Oct 26 2015 14:03:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17164,/competitions/flavours-of-physics,None
/halfwit,Alternative Evaluation Metrics,"It seems the most dangerous decision is ordering product that expires before being sold. Ordering too little would prevent the store from selling as much as possible, but would not be directly losing money. However, I am thinking that over-predicting sales for one day may not be a big deal in practice. Many products can be sold, for example, later in the week. In this case, RMSPE on daily sales may not be the best way to choose useful algorithms. The description reads: ""Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance."" At what point are the orders locked in, is it determined six weeks in advance? It may be more useful to predict total weekly,monthly, 1.5 month sales for each store. The penalty for over-predicting sales makes more sense at these timescales. Is it worth it to explore other ways of evaluating performance for this competition, ie for the 5k prize?",0,None,2,Mon Oct 26 2015 19:26:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17167,/competitions/rossmann-store-sales,41st
/oneoff,Marshall-Palmer in R,"Hi, my 'sample_solution.csv' file created by this script, looks quite strange : Id,""Expected"" 1,0.0857645300043991 2 3,1.5940043281958 4,6.91338019815781 5 6,0.173935487675607 7,3.21992059056644 8,0.867393740278448 9 10,14.1823711953486 copy zeros (that is 0.0 values) are marked blank, and only second column name is quoted, I wonder what is the problem with my R ? I think there should be no "" , row.names=FALSE"" in script.",0,None,1,Mon Oct 26 2015 21:52:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17170,None,None
/halfwit,Store hours,"I extracted name, address, and hours for each day of week from here: [Link]:http://www.rossmann.de/verbraucherportal/services/filialsuche.html It only listed 557 different stores while this dataset included 1115 (856 in test). I'm finding it difficult to get info without understanding German, anyone know why this list would be incomplete? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97393/3189/StoreHours.csv",0,None,2,Mon Oct 26 2015 21:56:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17171,/competitions/rossmann-store-sales,41st
/clayging,Several Errors in tutorial,"In the tutorial, on the line: "" xTest = read_data(""test"", labelsInfoTest, imageSize, path) "" I get an error, reading: "" 'getindex' has no method matching getindex(::DataFrams, ::ASCIIString in read_data at rf_julia_benchmark.jl:19 "" line 19 reads: "" for (index, idImage) in enumerate(labelsInfoTrain[""ID""]) "" I have seen issues with using strings in Data Frames in other forum posts, so I changed line 19 to: "" for (index, idImage) in enumerate(labelsInfoTrain[:ID]) "" but then there is an error message: "" imread not defined "" I am new to Julia, and know very little about the packages used, and have been trying to figure out this error for some time. Any suggestions or solutions to this would be greatly appreciated. Thanks for your time",0,None,8,Tue Oct 27 2015 02:25:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17173,/competitions/street-view-getting-started-with-julia,None
/salimali,Welcome...,"Hi all, Welcome to part 2 of the DSM Datathon. Use the data you received during the hackday to try and predict the performance of punters in the last 3 games. This is a learning exercise to get those who have never competed in Kaggle comps some experience, so please use the forums to help each other, share code and form teams. Good luck and have some fun, Sali Mali",0,None,2,Tue Oct 27 2015 03:23:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17174,/competitions/melbourne-datathon-2015,1st
/inversion,Impressed,"I have to say, I find it impressive that Walmart has hosted several Kaggle competitions.",15,gold,16,Tue Oct 27 2015 10:15:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17176,/competitions/walmart-recruiting-trip-type-classification,21st
/jiweiliu,How is LB data split?,"I assume it is random, is it? Or is it based on year? Thank you.",1,bronze,2,Tue Oct 27 2015 13:54:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17178,/competitions/deloitte-western-australia-rental-prices,6th
/li354886,Team up with me,"Hey, I am a data science student currently and trying to team with someone for this competition. Anyone interested?",0,None,4,Tue Oct 27 2015 15:17:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17179,/competitions/facial-keypoints-detection,None
/chambox,What minimises RMSPE,"What minimises the RMPSE, we know the mean does for RMSE. I guess some other statistics is responsible for the minimisation problem",0,None,2,Tue Oct 27 2015 16:55:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17182,/competitions/rossmann-store-sales,1149th
/jeelshah,Looking for someone to team up with,"Hey guys, I am looking to team up with someone for this competition. I have some experience in Machine Learning and Python and I want to learn as much as possible about machine learning. You can contact me either by commenting or via email shah3130@mylaurier.ca. Thanks a lot!",0,None,3,Tue Oct 27 2015 17:21:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17183,/competitions/titanic,None
/convalytics,Encrypted Test Data,"Interesting that we need to fill out a survey to compete. I'm not sure how I feel about that one. We've all signed up for kaggle accounts and all of the information being requested is available to kaggle. I understand it makes it easier for Walmart to analyze the competitors, but what does everyone else think about this practice?",1,bronze,2,Tue Oct 27 2015 17:24:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17184,/competitions/walmart-recruiting-trip-type-classification,None
/brandonm,Need Help With Test/Train Set Splits (Critical Value in Test Doesn't Appear in Train),"I have a group of 10 sources with similar fields. My training set is made up of 9 of the 10 sources and my test set is the 10th source. The training set is more than 10 times the test set. My training set has a field, (for this example, field 1) that is almost always blank. My test set has the same field (also called field 1) which is always populated. There is a particular value that appears in the test set's field 1 which is significant and needs to be flagged. This value never appears in the training set, and we cannot include any information from the test set in the training set. How can I integrate the critical value from my test set as significant in my training set (which doesn't contain it) so when my test set is being evaluated against my training set, it will be deemed significant? I've attached an example Excel Workbook: The target value is 1. As you can see in the attached example, the target value is always 0 when Field 1 is ""1"" in Test. Any help would be greatly appreciated! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97445/3191/Train_Test_Field_Splits.xlsx",0,None,4,Tue Oct 27 2015 17:49:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17185,None,None
/abhishek,Beating the Benchmark ;),Don't post it. Its not allowed in this competition :D,19,gold,21,Tue Oct 27 2015 19:09:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17186,/competitions/walmart-recruiting-trip-type-classification,11th
/justfor,"Competition final- still status ""Closed - Validating Final Results""","Hello, I am wondering, why two competitions are still in the status ""Closed - Validating Final Results"" though they are long final. Any idea what this means or when they will be regarded as finished? These are the two examples: Flavours of Physics: Finding τ → μμμ Poker Rule Induction Best Regards Justfor",1,bronze,4,Tue Oct 27 2015 19:32:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17187,None,None
/jwjanderson,Welcome,"Welcome to the Winton Stock Market Challenge! We’re Ana and James, two researchers at Winton Capital. We’ve designed this Kaggle problem and will be here throughout the competition to answer any questions that arise. It’s going to be a tough challenge, but we hope that the data is interesting and gives good insight into what applying scientific methods to financial data is like. Best of luck!",16,gold,85,Tue Oct 27 2015 20:12:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17188,/competitions/the-winton-stock-market-challenge,None
/adjgiulio,Multiple locations,"Can we get a list of the ""multiple locations"" the jobs are available at? With the understanding that these might change slightly over time if some get filled or new ones become available…",0,None,7,Tue Oct 27 2015 20:20:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17189,/competitions/walmart-recruiting-trip-type-classification,None
/benhamner,Exploring the US College Scorecard Data,"I spent an evening making a pass on the US college scorecard data. Let me know what your thoughts are, and I hope you continue to explore this - it's a rich and fascinating dataset!",10,bronze,15,Tue Oct 27 2015 22:32:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17190,None,None
/del=bf42d98d50740132,Evaluate models locally,"Each models have different parameters. The number of possibility submission goes exponentially. Given the fact we can only submit 2 submissions a day, i guess we need to find a way to locally test a huge number of models. Is creating a way of testing our models locally part of the competition? For example you first gave us train.csv with ratings problems. I thought that ""cleaning"" the data was part of the competition but it wasn't since you gave us after a corected train.csv. Best regards, Asterix",0,None,1,Tue Oct 27 2015 23:01:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17191,/competitions/recommender-system-2015-challenge-polimi,32nd
/zhenxu1,!!! Ref:  Radar reflectivity in km and Refcomposite in dbZ?,Radar reflectivity in km is strange. Ref and Refcomposite should be real and imagary part of reflectivity both in dbZ.,0,None,2,Wed Oct 28 2015 00:07:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17192,/competitions/how-much-did-it-rain-ii,436th
/msegala,LONG XGBoost predict time,Has anyone else experienced XGBoost taking a long time to run the predict method on the test set? I assume the slowdown is caused by predicting the multiclass probability. Just wanted to check that others are experiencing this and if there is any chance for a speedup.,0,None,29,Wed Oct 28 2015 01:39:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17193,/competitions/walmart-recruiting-trip-type-classification,111th
/kailili,Questions on UPC and ScanCount,"Hi, everyone, I participated because I found the data are very interesting, could I ask the question on UPC (this should be bar code of particular product right) but the scan count how many products that a customer in a single trip purchase. But what does the UPC mean here, since they buy many products at the same time, what does this UPC stands for ? If they buy many product at the same time, they should have multiple UPCs ,thank you so much! Kelly",0,None,18,Wed Oct 28 2015 01:46:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17194,/competitions/walmart-recruiting-trip-type-classification,None
/wilanw,BID_TYP(e) for features.sql,"Wondering if the SQL is intentionally masking the Bid Type (Lay/Back) as the SQL in features.sql seems to not select the BID_TYP column but does a grouping for it. The effect of this is that there are multiple rows for the same Account_ID, EVENT_ID, STATUS_ID, INPLAY_BET combination. This should not effect the final test data though as that is aggregated without this grouping. select Account_ID ,EVENT_ID ,COUNT(*) AS TRANSACTION_COUNT ,STATUS_ID ,INPLAY_BET ,AVG(BET_SIZE) AS AVG_BET_SIZE ,MAX(BET_SIZE) AS MAX_BET_SIZE ,MIN(BET_SIZE) AS MIN_BET_SIZE ,STDEV(BET_SIZE) AS STDEV_BET_SIZE --,SUM(PROFIT_LOSS1) AS PROFIT_LOSS1 -this is essentially what we need to predict INTO #TEMP FROM Datathon_WC_Data_Games_SEMI_Finals_Final GROUP BY Account_ID ,EVENT_ID ,BID_TYP ,STATUS_ID ,INPLAY_BET copy",1,bronze,1,Wed Oct 28 2015 01:47:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17195,/competitions/melbourne-datathon-2015,3rd
/gizzmotronics,Can I use any language to write the solution?,"Or am I limited to using one of the languages mentioned in the description? Let's say I wanted to write a solution in Java, would that be acceptable? Thanks and sorry if this is a stupid question",0,None,2,Wed Oct 28 2015 02:55:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17196,/competitions/noaa-right-whale-recognition,None
/inventology,test1,,0,None,7,Wed Oct 28 2015 02:59:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17197,None,None
/hassiktir,post graphs that may be cool,here's two simple graphs i looked at using pandas plotting the entire time scale with cumsum() the first is the time up until target columns and the second includes target columns thought it was interesting because if you look at these theres some very distinctive financial chart reading patterns edit: removed explicit line's that show how plots were made [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97541/3192/one.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97541/3193/first.png,2,bronze,10,Wed Oct 28 2015 08:34:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17199,/competitions/the-winton-stock-market-challenge,None
/mahehu,Welcome to the competition,"On behalf of the organizers, I'd like to welcome you to this face verification competition. The leaderboard has two benchmarks, of which the deep features distance benchmark is the more interesting one. The method simply computes the Euclidean distance between the 4096 dimensional deep feature vectors. The smaller the distance the more likely the two pictures are from the same person. As the last step, the distance is transformed to a probability by inverting the order and normalizing. Some points that may improve the result: The algorithm does not take into account the training data at all. So for example learning another distance metric instead of Euclidean may improve the accuracy. The AlexNet is not actually designed for this purpose, but just happens to work. Alternative nets may improve the performance. Look into the OpenFace framework: this should be very good for face recognition: [Link]:https://github.com/cmusatyalab/openface Corresponding Python implementation is attached. Matlab implementation will follow. Also other supporting code will be posted, so follow the forum and start testing your results. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97543/3194/deepfeatures_distance_prediction.py",1,None,1,Wed Oct 28 2015 08:50:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17200,/competitions/face-verification2,None
/atul2185,Is it possible one visit associate with more than one trip type?,,1,bronze,9,Wed Oct 28 2015 10:30:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17201,/competitions/walmart-recruiting-trip-type-classification,450th
/ivanliu1989,Understanding of bonus features,"When I explore the semi_and_final_features, I find it looks like attached My initial thought was this table contains aggregated data based on account_id, event_id, status_id and inplay_bet. Just wondering if anyone can correct me or help me understand why one account in one event (same status_id and inplay_bet) has two records here? Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/97554/3198/Screen Shot 2015-10-28 at 9.16.58 PM.png",0,None,2,Wed Oct 28 2015 11:28:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17202,/competitions/melbourne-datathon-2015,2nd
/oneoff,Why weights for the test set are unknown ?,Why weights for the test set (for WMAE) are unknown ?,2,bronze,5,Wed Oct 28 2015 13:38:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17203,/competitions/the-winton-stock-market-challenge,738th
/zk0433,Overwrote variable values for the whole file,"Hi, I'm following Trevor's tutorial for this competition and I'm currently doing part 2. I'm new to this so mistakes are likely and I just messed up somewhere. I managed to overwrite the variable Age for the whole train file and now it says the same value for everyone. How do I fix this? I tried 'Undo' until I reached the first time I played with the Age variable, but the train file still shows the wrong values. Is there a simple way to fix this or do I have to start from the beginning (since I'm using the same script file from the start)? Thank you. Edited to add: I'm using R",0,None,1,Wed Oct 28 2015 13:41:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17204,/competitions/titanic,None
/realitycheck,Will a final test set be provided for final evaluation?,"That might sound like a silly question but it makes a significant difference in the approach to be followed over the next few months. Will a final test test, other than the one already provided, be posted to evaluate players all at the end of the competition or will everything be valued based on the current test set?",0,None,5,Wed Oct 28 2015 16:17:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17205,/competitions/the-winton-stock-market-challenge,None
/tianyiwu,do blank cells stand for '0'?,I noticed that there are quite a few blank cells in training set.,0,None,2,Wed Oct 28 2015 18:40:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17206,/competitions/the-winton-stock-market-challenge,None
/computer123,Deep learning about ideas,Hello. I am a master's student. I need to write a thesis on Deep Learning. I'm looking for a long time. But do not come to my mind the original idea. Can you help. Thank you so much…,0,None,8,Wed Oct 28 2015 20:55:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17208,None,None
/littledeep,Not able to download datasets,I am not able to download any data sets for any competition. I just got signed up can some one help here?,0,None,2,Wed Oct 28 2015 22:52:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17209,None,None
/nnayyar,Newb Questions,"Apologies for the somewhat dumb questions as I am a newbie and decided to bite off a little more than I can probably chew. Also I understand the rules are a bit different for this one so I'll try to follow as closely as I can. That said: 1) For clarification, the submission file will include 60 predictions of intra-day data PLUS 2 predictions for Daily data. With 4000 rows, that's 248k predictions. Is that right? If correct, my thought is make a prediction for T+1, then add that prediction to testing set and rerun the model for T+2, add new prediction, rerun, iterate over all 60 predictions? 2) Is each row of data independent of the other? (Open to the answer to this question being maybe lol) 3) The features of each row have no time component, i.e they are known at the beginning D-2 only and do not vary through the time series? Hope that Q makes sense? Thanks!",0,None,2,Thu Oct 29 2015 00:05:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17210,/competitions/the-winton-stock-market-challenge,None
/del=43ae232e6868151d,Time Series Linear Models (TSLM),"There are stores with six months of 'no sales'. Your 'ts', will go blunder at that points. Anyway good thought.",0,None,4,Thu Oct 29 2015 03:36:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17211,None,None
/willieliao,Making the Master Tier (Top 10 Version),Finally finished the write up. I think it took longer than the actual coding. I have not spell-checked yet but at least it's readable.,13,silver,10,Thu Oct 29 2015 06:30:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17212,None,None
/ddebeul,Questions about the leaderboard,"Hi, The double cross stand for model uploaded, is the model available for everyone or only for Catrepillar ? We see stars for « in the money », what is the money repartition for the 3 best scores ? When you put the cursor on a score for a time e.g. 0.196557 (best score), you get another information e.g 0.005326, what is this information ? What is « all zeros benchmark » and how do you calculate this value ? Thanks",0,None,1,Thu Oct 29 2015 10:22:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17213,/competitions/machinery-tube-pricing,707th
/richm63001,Are there any categorical features ? ,Hi Some of the features are integers - e.g. Feature_5. Are any of the integer features categorical variables or are they all quantitative ?,0,None,2,Thu Oct 29 2015 13:55:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17214,/competitions/the-winton-stock-market-challenge,None
/mardoe,Tooling & Methodology for Experiment Pipeline,"I repeatedly find myself in the situation where I start from a simple baseline script and explore various improvements, branching to e.g. feature engineering & parameter tuning. I often end up with a bunch of loosely coupled script files with different versions and in the best case some written notes on which functionality improved a score or not. Are there some suggestions on how to do this in a more structured manner? Since this is actually a tree-like search where each node is a code file version, are there versioning tools out there which could support the experiment result documentation & overview process in parallel? Of course, manual modularization always helps, but it is hard to think in modules at the beginning of a competition when you don't know yet where to go…",4,bronze,6,Thu Oct 29 2015 13:59:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17215,/competitions/rossmann-store-sales,10th
/viccrome,Metafeatures,Can anyone recommend any papers / blog posts etc on using metafeatures? I see they are often used in winning solutions and that they often come in at a second level prediction / ensemble. Thanks much for any ideas. Vic,0,None,1,Thu Oct 29 2015 14:23:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17216,None,None
/nilrecurring,Partition Parameters,"It is necessary for the competition to test the algorithms locally, through partitioning the set in the same way it is partitioned here on kaggle to make evaluations on our uploads and then applying MAP@5. However, it has not been published any detail on how this is done, and in particular: When a rating is considered positive? (e.g. if rating > 7?) How many positive ratings a user should have for making her eligible to be a test user (thus allowing us to cut 5 positive ratings on which calculate the precision)?",1,None,7,Thu Oct 29 2015 14:58:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17217,/competitions/recommender-system-2015-challenge-polimi,33rd
/shearerp,Interactive Sales Visualization!,Note from the author: there's a lot more where this came from. I have built lots of different graphs like this and will be adding new ones periodically. A Shiny app is also in the works. Anybody want a visualization guy on their team? :),15,gold,8,Thu Oct 29 2015 15:43:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17218,None,None
/alejohn,expensive computation,"Is it possible that using a simple algorithm with Matlab and selecting the necessary data so as not to provide useless input data, we deal with a computation time of several hours for our algorithm? where we might have been wrong? thanks in advance for the reply",0,None,1,Thu Oct 29 2015 17:03:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17219,/competitions/recommender-system-2015-challenge-polimi,34th
/derekkane,starter xgboost in R,"Really great code and thanks. I am having a little troubling running a piece of code at the bottom: submit_cuisine <- submit_match[id==sample_sub$id, as.matrix(cuisine)] submission <- data.frame(id = sample_sub$id, cuisine = submit_cuisine) Here is the error I am showing: Error in data.frame(id = sample_sub$id, cuisine = submit_cuisine) : arguments imply differing number of rows: 9944, 0 Any thoughts on how to resolve this? Thanks again for the work.",0,None,14,Thu Oct 29 2015 18:19:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17220,None,None
/mirceananu,Is there any  relevance in the training set?,"Hello fellow kagglers! It seems to me that the training set is of little importance! 1) What possible purpose can it serve? It will not help us learn some feature, like a regular training set would! When i look at the MINST dataset (for example), I can see features that an algorithms could learn from the presented data. 2) What features could a model learn from the presented data set?",1,bronze,2,Thu Oct 29 2015 21:50:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17221,/competitions/the-allen-ai-science-challenge,None
/msegala,Python XGBoost Question,"Sorry, I know this is not the proper place to ask this but I cannot find an answer anywhere. I want to use the variable ""print.every.n"" in python but cannot seem to make it work. I have tried xgb.train(print_every_n = 10) but that throws an error since it is not an actual parameter. Is this even possible in python?",1,bronze,2,Fri Oct 30 2015 00:38:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17223,/competitions/rossmann-store-sales,572nd
/mathmagician,Classification or Regression,"One interesting fact is you can treat this problem as either a regression problem with quality values between 2-10 or a classification problem with quality values in 9 classes (2,3,4,5,6,7,8,9,10). There are advantages and disadvantages to both. Having integer values as quality values really hurts you in root mean squared error when you are wrong because if (y-y_hat)<1 then (y-y_hat)^2<(y-y_hat) and if (y-y_hat)>1 then (y-y_hat)<(y-y_hat)^2 [where y is the actual and y_hat is the prediction]. If you are wrong with integer value quality values then (y-y_hat)>=1.",2,bronze,1,Fri Oct 30 2015 03:45:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17224,/competitions/mdst-ratings-analysis,2nd
/supernova117,Exploratory and RandomForest ,"Thanks, nice code saving much time to code by myself, keep going",1,bronze,2,Fri Oct 30 2015 07:50:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17226,None,None
/yejiming,Recent competitions are so hard,"This one, and Allen AI. The problem is complex. People can barely break the basic benchmark.",5,bronze,16,Fri Oct 30 2015 08:57:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17227,/competitions/the-winton-stock-market-challenge,None
/pappukrjha,How are we dealing with missing values in the data?,,1,None,4,Fri Oct 30 2015 13:31:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17228,/competitions/walmart-recruiting-trip-type-classification,469th
/sudalairajkumar,External data and Other information,"There are a lot of information and external data in different forum posts of this competition. So I thought it would be helpful to summarize all those information here Weather data at different states is present in this [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17058/weather-at-berlin-us-airport/97075#post97075 Data on mapping of stores to states is present in this [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17048/putting-stores-on-the-map There are 180 stores missing 184 days of data in the middle of the series between 1 July 2014 to 31 Dec 2014 and the reason can be seen [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17048/putting-stores-on-the-map/96921#post96921 Some of the missing data for ""Open"" column in store 622 of test set can be replaced with zeros which can be seen from this [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17048/putting-stores-on-the-map/96969#post96969 [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17163/external-data-world-cup-dates on world cup dates Macro indicators data from this [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17111/macro-indicators Google trends data from this [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17130/google-trends/97196#post97196 It will be really helpful if people can post the links to any new external data in this thread moving forward.",84,gold,43,Fri Oct 30 2015 18:14:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17229,/competitions/rossmann-store-sales,305th
/utah777,Promo2 duration?,"From the the [Link]:https://www.kaggle.com/c/rossmann-store-sales/data description I can understand if and what month a particular store is participating in Promo2. However, I am puzzled by the phrase ""Promo2 is a continuing and consecutive promotion"". Does it mean that Promo2 runs consecutive to Promo (i.e. the next week on top of Promo) or should I assume that Promo2 runs every day for months in PromoInterval? Or perhaps Promo2 activity can be executed any day in PromoInterval?",0,None,2,Fri Oct 30 2015 19:18:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17231,/competitions/rossmann-store-sales,80th
/threeplusme,Does that Competitions contribute to the overall Kaggle score?,,0,None,2,Fri Oct 30 2015 20:31:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17232,/competitions/walmart-recruiting-trip-type-classification,None
/rbaldini,Standard error of benchmark score,"Folks - The current best score beats the error of the all-zero benchmark by about 1 part in 10,000, in relative terms. Apparently no one has really figured this problem out yet. This led me to wonder: how informative is the current leader board? Given the minute differences separating most of the field, how likely is it to remain in its current form once the remaining 67% of the test data is revealed? I produced a rough estimate of the standard error of the benchmark score using the training data. In short, I randomly sampled 0.336000062 observations (the number currently evaluated) from the relevant columns, and calculated the weighted mean absolute deviations from 0. Repeated this 1000 times. The result: mean = 1774 SE = 5.1 (Anyone want to replicate this?) So, given that the current best score (1769.77856) only beats the benchmark by about 0.05*SE, I'm tempted to conclude that the current leader board is mostly noise. Any errors in my logic? Is this a common feature of Kaggle competitions? (I'm new here.)",0,None,2,Fri Oct 30 2015 21:11:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17233,/competitions/the-winton-stock-market-challenge,None
/bitsofbits,How good do these models need to be to be useful,"Does anyone have an idea as to how what score corresponds to a model that is useful in the ""real world""? That is, one that is good enough to make someone money doing automated trading, or whatever this type of model would be used for. Is it just a tiny bit better than the benchmark (1770) or does it need to be substantially better? 1769? 1760? 1700? I'm just curious if we're in the realm of making useful models yet, and if not how far away we are.",0,None,3,Fri Oct 30 2015 22:29:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17234,/competitions/the-winton-stock-market-challenge,17th
/romualdj,Local CV and LB,I wonder what is your experience in comparing local CV scores with the LB one. I do not mean in absolute value but rather in relation to the all zero benchmark. I made a 5-fold CV of my model. Not surprisingly the local scores of the different CV folds had some standard deviation (around 13.0) but in each fold the score was consistently better/smaller by 5-7 from the corresponding score in each fold of the all zero benchmark. However when I submitted the predicitions for the test set it scored around 1775 - worse by 5 than the all zero benchmark! I wonder if you encountered something similar? I am a bit amazed as seeing a consistently better perfomance on each of the 5-folds I would expect also better behavior on the test set… I may have some bug in my code but I did not manage to spot it so far - that's why I am asking (NB. my scoring code gives 1773.92 for the all zero benchmark on the whole training set).,1,bronze,31,Fri Oct 30 2015 22:55:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17235,/competitions/the-winton-stock-market-challenge,7th
/jscheibel,thoughts on this contest,"This is a pretty tough nut to crack This feels like trying to predict the movement of weather patterns. 1 minute out you might be wrong or not, but really you need that result to feed the next (normally) to be accurate. unfortunately, if you get that one wrong, more likely than not you get the 2nd minute one even wronger (a great word everyone should use) .. then 3rd etc… I tried a bunch of different algorithms on the data set trying to predict each column independently and i'm kind of thinking that's a fools errand (based on the above statement). The most telling was one particular algorithm that produce results like this 1_1 .002001 1_2 .000100 1_3 .000005 1_4 .000000 1_5 .000000 ... 2_1 .001501 2_2 .000202 2_3 .000016 2_4 .000001 .... etc copy clearly it was doing the best it could but was hedging its wrongness. I suppose you could use time series analysis to predict the results, in short some sort of DTW but even that may have a strong problem telling just which way the wind is blowing as it were. I'm letting a program run over the weekend that does adhoc feature generation and keeps the ones that highly correlate to the results (the features are specific to the group that is being analized _1 _2 _3 etc), but I'm not expecting any kind of magic to show up. I'm betting come monday when I look at the results they will be ""meh"". and it'll be time to re-implement Time series analysis … again. Oh and just to save some of you the trouble TSN-E didn't produce anything significant for me to share. though your mileage may vary.",2,bronze,8,Fri Oct 30 2015 23:19:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17237,/competitions/the-winton-stock-market-challenge,616th
/andrelopes1705,Is there anyone using Elastic Distortions as pre-processing?,Is there anyone using Elastic Distortions as pre-processing? I tried and it made the score worse. Did anyone else tried?,0,None,1,Sat Oct 31 2015 02:50:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17241,/competitions/digit-recognizer,None
/wdfcoder,Image recognition question # of samples from a video,Say I have 1080p videos that are 60fps and last aprox one minute (3600 frames / video). I want to train with images from these videos. For the most part each frame in the video looks similar (there are some differences). I can programmatically change the video into a series of low resolution JPEGs (or any other format). How many image samples should I take of each video?,0,None,2,Sat Oct 31 2015 08:39:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17243,None,None
/innormous,Placeholder values in FinelineNumber?,"I witnessed values like 9999, 9998, and 9997 in FinelineNumber. Are these legitimate categories or placeholder values?",0,None,2,Sat Oct 31 2015 14:30:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17244,/competitions/walmart-recruiting-trip-type-classification,60th
/alexandrudaia,Sample2910,Could anyone tell what score this simple model brings?,0,None,1,Sat Oct 31 2015 15:08:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17245,None,None
/hachiko,Require Clarity regarding the ignoring zero sales score,"As stated in the evaluation rules: ""Submissions are evaluated on the Root Mean Square Percentage Error (RMSPE). In the RMSPE y_i denotes the sales of a single store on a single day and yhat_i denotes the corresponding prediction. Any day and store with 0 sales is ignored in scoring."" Is that means that there will be no feature in the test data as well as the data that will evaluate our results on server that will results in zero mean? OR We also have to figure out whether the sales will be zero or not(some numeric value of sale) based on test data on server and server calculates score based on the non zero sales predicted rows(ignore the results in which sales is predicted as zero)?",0,None,1,Sat Oct 31 2015 20:48:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17247,/competitions/rossmann-store-sales,3284th
/vipulp,Are Affordable Schools a Good Deal?,"It seems to me that another thing revealed by this analysis is the boundary between low cost colleges and medium cost (20-30K) colleges. Actually, the low cost college repayment rates do pretty well when you think about the income strata that attend them. It is the mediocre colleges that have no cachet that are the problem. I would suggest that there is an inflection point which a MARS analysis would show, if you take the low cost colleges below the evident boundary out.",3,bronze,4,Sat Oct 31 2015 20:49:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17248,None,None
/hincaltopcuoglu,cannot load my result csv file,"Hello, I tried all the probabilities as the site said but failed to load it into system.it always gets error while i am doing all needed.Help please",0,None,1,Sat Oct 31 2015 22:09:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17249,/competitions/titanic,None
/millerintllc,Language,"Sorry if this is an ignorant question, but is Python the required language, or can the language be whatever we like? Thanks!",0,None,1,Sat Oct 31 2015 22:49:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17250,/competitions/how-much-did-it-rain-ii,None
/ivanliu1989,Some findings after two submissions,"Hi guys, This is a very challenging competition because limited data we have. Also it’s interesting because the less data we have, the more feature engineering or interesting ideas we can try. Following are some findings after my first two submissions and hopefully they will be saving some time in initial exploration for those who haven’t started yet. Previous win rate contributes the most predictive power in my models. COUNTRY_OF_RESIDENCE_NAME doesn’t help, this may because there are very small number of transactions for some countries. Bonus features do help a lot, but considering we don’t have BID_TYPE flag, it takes a few more steps to calculate the overall figures for them. Also, I am thinking if I can build a model to predict their BID_TYPE as meta data to my final model and see if there is any improvements. Local validation and leaderboard scores are not quite consistent, even between my different local validation sets (different events). I think this may because people’s betting behaviours change over time AND the data doesn’t support me to consider match/event features. Then how can we avoid overfitting? Around 30% of account IDs in test data are not in training set. So if there are customer features generated by training set, they may not be applied to those people and imputation will be needed. Lastly, how to define the formula to calculate/aggregate final predictions will impact final scores more or less, because we don't know if a prediction is a 'B' or 'L' transaction. Above are just some findings and questions I've got, if there’s any incorrects or other ideas, please feel free to point out so we can learn together :)",2,bronze,4,Sat Oct 31 2015 23:28:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17251,/competitions/melbourne-datathon-2015,2nd
/vahidkazemi,Entry removed?,Care to explain why my entry was removed?,0,None,1,Sat Oct 31 2015 23:33:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17252,/competitions/digit-recognizer,None
/niranjanmudhiraj,Step-by-Step process to build a model,"Dear friends, I am new to this type of competition, i don't know how to start but i passionate about learning new things, can anyone explain the milestones. copy Thanks Advance.",0,None,6,Sun Nov 01 2015 02:31:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17253,/competitions/the-allen-ai-science-challenge,85th
/threeplusme,9/N Highscore,"Why do we exclude customers feature.names <- names(train)[c(1,2,5:19)]? Do we use the information about customers at all? Thank you",0,None,2,Sun Nov 01 2015 12:45:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17254,None,None
/del=309ebd7d0f8f3951,some questions on the store.csv file,"The columns on competition in the store data file - competition distance, competition open since month, and competition open since year - how is competition defined here? Is it another Rossmann store? Or is it similar stores of other brands? Or can it be either another Rossmann store or a different store? Also what is promo2 in store.csv? Is it the previous promo of the id store, or is it the promo of the competition? Also, it seems like we only have the information on what year the competition opened, but no information on what year the Rossmann store opened? Did the Rossmann store always open before the competition, or could it be after as well? What is the difference between store type and assortment?",0,bronze,2,Sun Nov 01 2015 16:44:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17256,/competitions/rossmann-store-sales,None
/gutokonzen,Data Manipulation,"I´m not sure if I can do this type of question, but how can I group the lines of one VisitNumber in one line? To clarify, the train data are 647054 lines and I need to transform in 191347 lines (quantity of VisitNumbers)!",0,None,3,Sun Nov 01 2015 16:58:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17257,/competitions/walmart-recruiting-trip-type-classification,985th
/maneeshkm,Feature counts ;-),"Without disclosing the specifics, can we discuss the number of features everyone's using? :-) I am using ~5k.",1,bronze,83,Sun Nov 01 2015 17:15:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17258,/competitions/walmart-recruiting-trip-type-classification,75th
/dmi3kno,"""Interesting"" stores","Lets collect difficult to forecast stores in this thread, along with corresponding RMPSE (excluding Open==0) for holdout starting on 2015-06-14. I will list it here and include it into [Link]:https://www.kaggle.com/dmi3kno/rossmann-store-sales/exploratory-plots-by-store These are my worst stores so far interestingStores = c(1100, 722, 274, 782, 530, 909, 415, 578)",2,bronze,1,Sun Nov 01 2015 17:18:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17259,/competitions/rossmann-store-sales,242nd
/rinzewind,"This is simulated data, right?","From the challenge description: How these returns are calculated is defined by Winton, and will not to be revealed to you in this competition. The data set is designed to be representative of real data and so should bring about a number of challenges. So, from that I understand that these are not real stock movements, but something simulated according to a certain rules (which are, in effect, what we should discover in order to produce accurate predictions). I am having problems understanding how data preprocessing. As per the competition rules, I cannot comment a lot here, but I have found some disturbint result when doing an exploratory analysis on Ret_2 to Ret_180 that leads me to think that Ret_121 to Ret_180 have had a different statistical treatment. Is it possible that Ret_121 to Ret_180 have added noise with respect to the rest of the intraday returns?",2,bronze,1,Sun Nov 01 2015 17:39:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17260,/competitions/the-winton-stock-market-challenge,None
/varunvish,the beggining,"just a new guy who fairly know about programming and no brain on AI advance… from blogs, forums i could understand the below… [Link]:https://www.kaggle.com/c/the-allen-ai-science-challenge/forums/t/17253/step-by-step-process-to-build-a-model… not sure how correct i am so i have downloaded wiki pages [Link]:https://dumps.wikimedia.org/enwiktionary/20151020/enwiktionary-20151020-pages-articles-multistream-index.txt.bz2 [Link]:https://dumps.wikimedia.org/enwiktionary/20151020/enwiktionary-20151020-pages-articles-multistream.xml.bz2 i am planning to use Wiki Parser : Dizzy logic to convert to xml and then use [Link]:https://meta.wikimedia.org/wiki/Data_dumps/mwdumper to convert it into a sql database. where i can play around with some dummy queries. will also go for ck12 pages later an view this as well",2,bronze,2,Sun Nov 01 2015 19:27:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17261,/competitions/the-allen-ai-science-challenge,None
/elantkowski,All zeros benchmark's score?,"Hi, so when one submits ""all zeros"", they're clipped and normalized, so that each class gets p == 1./38 == 0.0263. If you take negative log of this you get 3.637 for every trip. Mean is, obviously, also 3.637. I'm quite confused why the benchamrk scores around 34? Edit: OK, so I'm truly retarded, the ~34 score comes from log(1e-15). But I don't get how the scoring system works. All zeros scores 3.6 on my machine (well, as expected, really…), while it scores 34 on LB All ones scores 3.6 on my machine (duh…), and also scores 3.6 on LB. On my local CV the model scores 0.9. On the leaderboard it scores ~5.4 I'm confused.",1,bronze,9,Sun Nov 01 2015 20:05:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17262,/competitions/walmart-recruiting-trip-type-classification,260th
/abhishek,UPC,Are the UPCs standard used by walmart? I tried to see product informations for some but it seems they are reported incorrect by the system.,0,None,6,Sun Nov 01 2015 20:10:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17263,/competitions/walmart-recruiting-trip-type-classification,11th
/dbrappap,Typo in Description?,Apologies if covered already - is there an error in the description of the weights…they do not match the image,0,None,3,Mon Nov 02 2015 00:37:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17264,/competitions/the-winton-stock-market-challenge,None
/jmakansi,Run time limit?  ,"Is there a run time limit for our submission, and if so, what is it?",0,None,7,Mon Nov 02 2015 06:53:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17265,/competitions/how-much-did-it-rain-ii,None
/amiras,Ответы тестовой выборки,"В файле test_contest.csv присутствуют ответы тестовой выборки, то есть имеется столбец OpenStatus.",0,None,7,Mon Nov 02 2015 06:53:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17266,/competitions/cmc-msu-machine-learning-fall-2015-2016-competition-1,5th
/gaohuazuo,A pure ML approach?,"We can see that the ""Lucene Wikipedia"" benchmark, being a zero-ML method if I understand its description correctly, has a good position in the leader board. If we want to incorporate ML, a first step could be substituting the plausibility metric with a learned one (e.g. a logistic regression over occurrence, distance, etc., or even a more sophisticated memory network). I have not made any experiment yet, but I believe that with good feature engineering and a basic classifier one should get a pretty good score. However, the use of search engines keep any of these methods far from perfect: the system doesn't really ""understand"" any knowledge, it just cheats by searching the textbook. With this in my mind, I have been trying to design a mostly-ML system, but sadly, I came up with no feasible idea. So, is this even possible? I will be very thankful if you kindly provide any opinion or insight.",0,None,8,Mon Nov 02 2015 10:29:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17267,/competitions/the-allen-ai-science-challenge,None
/zaburo,XGBoost Feature Importance,"Hello , thanks for your script. I have two questions about your script. Why did you use np.log1p and np.expm1? yhat/y-1 is correct? I think it is (y-yhat)/y … I am a beginner at Data Science. So I sorry, if my questions are inappropriate.",0,None,24,Mon Nov 02 2015 12:04:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17268,None,None
/vinayyadav3016,Doubt regarding scoring function,"Hi All, I have used 50% sample for training and used rest 50% for validation and when I use log_loss function from sklearn then I get score around 0.6. But for test data on leader-board getting score of 1.8. Is log_loss function and given scoring function are same or somebody can provide a python implementation?",0,None,25,Mon Nov 02 2015 13:36:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17270,/competitions/walmart-recruiting-trip-type-classification,355th
/nigelessence,Logistic regression and Gaussian processes,"I am new to Kaggle, but not to regression and Gaussian processes. So I thought I would see what I could do. All my code is in commercial Java, I have used a lot of multi threading in the past, and I also used CUDA. My basic approach is: A. Read and manipulate the data B. Choose terms to be used in logistic regression C. Apply Gaussian processes on top of logistic regression I am perfectly to happy to share stage A, as it is particular to this competition.",0,None,17,Mon Nov 02 2015 14:14:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17271,/competitions/springleaf-marketing-response,None
/rajdeltarobo,Xgboost in R - 0.373717,i have been getting the above error in R. Any idea/help why this happens or how to fix it. Totally stuck,0,None,1,Mon Nov 02 2015 15:13:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17273,None,None
/abedkhooli,Kaggle User Statistics - Member Count Per Country,"Is there a readily available stats or script listing number of members per country? I am using this as a rough indicator of data literacy. Obviously, users who have participated in at least one competition would be even better.",0,None,2,Mon Nov 02 2015 18:44:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17275,None,None
/wendykan,Congrats to the (finally verified) winners!,"Hi all, First, I'd like to thank you all for your patience. This is an unusual Kaggle competition as it took a while to verify the winning models. The researchers at CERN and Yandex did a lot of work to reproduce the results, making sure the solutions are valid and prizes well deserved. I'm happy to announce that the winners are now verified (as you see on the leaderboard): 1st - ""Go Polar Bears"", 2nd - ""Alexander Gramolin"", 3rd - ""Josef Slavicek"". Kaggle would like to thank all the participants for your hard work to help solve a hard problem in particle physics, and would like to thank the researchers at CERN and Yandex to provide such an interesting and unique challenge and problem. We hope to see you again.",7,silver,2,Mon Nov 02 2015 19:22:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17276,/competitions/flavours-of-physics,546th
/chefele,Labels on the Return Definitions Diagram,"Is the diagram on the ""Data"" page mis-labeled? (copy attached below). [Link]:https://farm1.staticflickr.com/757/22696744106_f6ce009e4f_o_d.jpg Specifically, Ret_MinusTwo seems to span the time period from the end of D-2 to the end of D-1 (thus mostly reflecting returns spanning D-1, not D ""MinusTwo""). Is this correct? Similarly, it looks like Ret_MinusOne is calculated from the end of D-1 to the end of D, thus mostly reflecting returns spanning D. Is this correct? Finally, does 1_61 reflect movements from the end of D to the end of D+1, or from the end of t=180 to the end of D+1? This is unlike 1_62, which seems to be a fixed duration. So are the labels correct for 1_61? I know the organizers / admins have disclosure limits & don't want to clarify more than necessary. Nevertheless, can any of the above be clarified? Thanks! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98046/3217/ReturnDefinitions.jpg",0,None,1,Mon Nov 02 2015 21:51:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17278,/competitions/the-winton-stock-market-challenge,350th
/cavendish,IPython notebook?,"I'm trying to add an IPython notebook to this competition, and consistently getting an error. If I add a script, python is available as a language, but not the IPython notebook. Is this on purpose, or just a bug?",0,None,3,Mon Nov 02 2015 22:40:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17279,None,None
/sugantha,Can you allow us to make submissions now? ,"I am creating a new topic, so that more people can view this.. when I click on 'Make a submission', it displays 'This competition is closed to new entrants'. I understand that the competition is over, but I just want to implement a solution for this competition and evaluate my implementation. Can you please tell me how to make a submission?",1,None,2,Tue Nov 03 2015 03:24:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17281,/competitions/yandex-personalized-web-search-challenge,None
/abeabe,Teammate?,"I'm experienced with machine learning, but not image recognition. I'm interested in this competition as a vehicle to teach myself how to build and use CNNs. Anyone interested in teaming-up with me?",0,None,9,Tue Nov 03 2015 07:29:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17282,/competitions/noaa-right-whale-recognition,None
/benhamner,Worst Bets in Education,"Nice fork! Good to see that you followed up on this. You can edit the title & rerun the script to change it to ""Worst Bets in Education.""",0,None,1,Tue Nov 03 2015 17:04:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17286,None,None
/cauldnz,Not Throwing Customers Away?,"Most of the stuff posted so far has the Customers column stripped out of train before modelling. Intuitively it feels like that's throwing good data away. Has any body played with any approaches that have used Customers? I've had a bit of a play around, not much success yet. Have looked at training a customer prediction model and then an average basket size prediction model (which will capture some of customers) and combining the results. Not had much luck with that yet but going to go back and check my working. Anyway… just wondering…",2,bronze,2,Tue Nov 03 2015 21:15:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17289,/competitions/rossmann-store-sales,1096th
/jturkewitz,Are Kaggle skills useful for your job?,"Has anyone found skills gained in Kaggle useful for his or her job? I have read or heard a number of people employed as data scientists say things like Kaggle datasets are too clean and artificial, for instance [1] from the data science sub-reddit. Are these claims accurate? I realize that data science is quite broad, and even that different Kaggle competitions are quite disparate, but I'd like some input from people who both have seriously done Kaggle and are employed as a data scientist. [1] [Link]:http://themrmax.github.io/2015/10/29/advice-from-a-recovering-academic.html",3,bronze,8,Wed Nov 04 2015 00:40:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17290,None,None
/bernhard2202,Searching for another Teammate,"hey fawkes, our Team has now one open spot due to one dropped the course. Is there still someone out in need? Cheers, Bernhard & Jonas",0,None,5,Wed Nov 04 2015 09:19:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17292,/competitions/eth-machine-learning-2015-project-2-2,36th
/katarzyna91,Missin column in test data,"Hi, I've just watched test data and i'm wondering: is there column 'customers' in the test set missing? I am asking, because every column besides 'sales' (obviously) is there. Thanks!",-2,None,2,Wed Nov 04 2015 12:25:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17293,/competitions/rossmann-store-sales,None
/halilagin,can we obtain the script of the winner in a competition,"Hi All, I am new to Data science and kaggle.com. I want to examine winner's scripts of Kaggle competitions, but I cannot find it on the website. How can I obtain it or Is it possible? best, -halil.",1,bronze,1,Wed Nov 04 2015 17:43:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17295,None,None
/niranjanmudhiraj,Team Member,"Dear friends, is anyone interested to join with me?",0,None,9,Wed Nov 04 2015 18:00:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17296,/competitions/the-allen-ai-science-challenge,85th
/scirpus,LB ~ .89 Using GP with c++ ,I didn't know where to put this as it is in c++ 11. It was generated using Genetic Programming. If you like you can pick out separate lines for use as additional features - please let me know if it is useful!,0,None,4,Wed Nov 04 2015 18:30:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17297,None,None
/qiujiqiong,Need help! Huge difference between local early stopping performance and the leaderboard score,"Dear kaggler, I use the public benchmark xgboost and generate my own feature. I use tree different data set: Train, validation and test. The performances seem good. But when I do the prediction, the score is only 0.5. I can't find out what's the problem. Can someone help me? Many thank. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98167/3225/Screenshot 2015-11-04 at 06.32.02 PM.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98167/3226/Screenshot 2015-11-04 at 05.42.22 PM.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98167/3227/new_train.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98167/3228/new_test.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98167/3229/my_wrong_model.R",0,None,2,Wed Nov 04 2015 18:50:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17299,/competitions/rossmann-store-sales,743rd
/dollars4donuts,Zero Weights in Test Set or Minimum Number of Predictions?,I just submitted predictions for all 60 intra day timepoints for a single stock and was surprised to see the eval score come back identical to the zero benchmark. I tried again with an absurdly high predicted return value for all 60 timepoints and also got the zero benchmark score. I see two simple explanations for this: (1) some of the stocks in the test set have zero weight or (2) the eval software requires predictions to be made on a minimum number of stocks before the calculation is applied. Could you please clarify? Thanks in advance.,0,None,3,Wed Nov 04 2015 19:03:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17300,/competitions/the-winton-stock-market-challenge,374th
/dyakonov,Отчёты по заданию Scikit-learn для магистров ММП,Отчёты в pdf-формате (в виде презентаций) загружать в эту ветку форума.,0,None,9,Wed Nov 04 2015 20:03:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17301,/competitions/msuvisits,None
/niranjanbarve,Store type,"What do the different store types 'a', 'b', 'c', and 'd' imply?",0,None,7,Wed Nov 04 2015 20:27:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17302,/competitions/rossmann-store-sales,None
/shubhamtomar,Naive Bayes with Bernoulli distribution,"Hi Thomas, Nice work! I wanted to ask about the purpose of: big_data_matrix = scipy.sparse.dok_matrix((len(ingredients), len(unique_ingredients)), dtype=np.dtype(bool)) for d,dish in enumerate(ingredients): for i,ingredient in enumerate(unique_ingredients): if ingredient in dish: big_data_matrix[d,i] = True copy I am assuming the first line creates an empty matrix of no. of cuisines x no. of unique ingredients. And the subsequent for loop populates it. So, that it can be fed as 'X' into the classifier. Also, why did you decide to use scipy.sparse.dok_matrix() to initiate the matrix ?",0,None,1,Wed Nov 04 2015 20:35:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17303,None,None
/wawltorconner,How can we deal with the NA  value?Anyone can give me some suggestions?Thanks,,0,None,7,Thu Nov 05 2015 04:36:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17307,/competitions/the-winton-stock-market-challenge,None
/wilanw,Past History by Game R Benchmark Code,"Hi all, FYI, I've attached a copy of R code based on the 'Past History by Game' benchmark logic. It's certainly interesting something so simple can do so well. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98217/3231/past_history_game_benchmark.R",2,bronze,1,Thu Nov 05 2015 07:08:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17308,/competitions/melbourne-datathon-2015,3rd
/tropics,What is return?,"Hello all, Are we supposed to know what ""return"" of a stock is? Is it the price that it is selling or something else? Thanks! J",0,None,3,Thu Nov 05 2015 08:32:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17309,/competitions/the-winton-stock-market-challenge,None
/salimali,What will be the winning score?,"Just for fun, we'll run another competition… What will the winning score be? The closest guess gets a some free pizza at our Christmas Charity Gala, the number of slices decreasing the closer to the 10th Dec. your guess is made. Please post your entries in this topic thread. My guess = 0.682",0,None,6,Thu Nov 05 2015 09:33:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17310,/competitions/melbourne-datathon-2015,1st
/alessandronegrini,Shrink factor in cosine similarity,"Good morning, according to the note I took during content-based recsys class, I noted that even when I have to compute the cosine similarity I still have to consider a shrink factor. Hoping it is not a dummy observation : this shrink factor is the same of the shrink factor I took into account when I evaluated the top avg recs ? If not, how can I estimate it ?",0,None,1,Thu Nov 05 2015 10:15:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17311,/competitions/recommender-system-2015-challenge-polimi,15th
/dmi3kno,Robust CV strategy,"Hi everyone, How do you guys intend to perform CV of your time-series models to gain some confidence in your modeling approach? I am quite sure [Link]:https://www.kaggle.com/Gert (with his few submissions) has a solid CV, while others (with 70+ postings) might have already over-fitted to the public LB (no offense). One way I was thinking was to cross-validate TS models by randomly drawing a 48-day window from 2015 and forecasting it based on previous data. May not be always very comparable, due to different size of training data (assumption here is that 2014 and 2013 contain enough information). Another approach would be to randomly draw subset of stores and forecast the same window (say last 48-60 days in the training data). Yet another idea could be to combine the previous two approaches, fix the size of training data (say running exactly 730 days) and move the forecasting window within 2015 running random stores (both those in test set and those that are not). I guess I am trying to invent XGboost for time series ;) P.S.: My hypothesis is that Public/Private LB is split by date, so that if you are good at capturing short-term forecast you get fairly high ranking. I might be wrong and then it is even worse, because if it is a subsample of stores, then the result can be really random - some stores are really different in terms of sales patterns.",0,None,17,Thu Nov 05 2015 11:37:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17313,/competitions/rossmann-store-sales,242nd
/hasbou,a score of : 1/2 + e (where e>0) ,"hi A score of 1/2+e where e>0 (even as small as it could be) Means That we have can have another algorithm that can be run, wisely, multiple times to get any arbitrary score <1. is that correct?",0,None,1,Thu Nov 05 2015 12:43:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17314,/competitions/the-allen-ai-science-challenge,None
/carissas,New search engine for CS papers just launched: Semantic Scholar,"Hi all, We have just launched a AI-based semantic search engine for scientific papers that you might find useful for this competition. Right now the system searches over 3 million computer science papers, so you can search for CS topics of interest and get results like [Link]:https://www.semanticscholar.org/search?q=question_answering You can also search by data sets like [Link]:https://www.semanticscholar.org/search?q=wordnet, or tools like [Link]:https://www.semanticscholar.org/search?q=word2vec, to get an overview of publications using those sets or techniques and help inspire your own approaches. I hope some of you find this helpful! If you try it out and have any feedback for us, we'd love to hear it. [1]: [Link]:https://www.semanticscholar.org/search?q=question%20answering",5,bronze,6,Thu Nov 05 2015 18:35:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17315,/competitions/the-allen-ai-science-challenge,None
/ketanp,Use of data for academic purpose,"Hello all, I need an information regarding if I can use this click through rate prediction data for academic learning purpose. if yes, do i need to take permission from any authority/body? please guide",4,None,2,Thu Nov 05 2015 19:07:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17316,/competitions/avazu-ctr-prediction,None
/millerintllc,Just curious -- what's the mouse-over number on scores?,Nevermind; I figured out the answer to my question. Now if I could only figure out how to delete this post…,0,None,2,Thu Nov 05 2015 21:45:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17317,/competitions/how-much-did-it-rain-ii,None
/pappukrjha,memory error : Python while creating variable from FinelineNumber,"I am using 4GB Ram and 500GB hard drive memory system. I have tried get_dummies & pivot_table in pandas, and dictVetorizer from sklearn. But both producing memory error. Any feasible way to create new features from a variable with more than 5000 labels in python?",0,None,5,Thu Nov 05 2015 21:47:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17318,/competitions/walmart-recruiting-trip-type-classification,469th
/davidl6,H2O connection problems with Kaggle Scripts,"Lately I often have trouble running H2O on Kaggle scripts. Some days I have no problems and other days I get errors such as ""Connection Lost"" or ""Connection reset by peer"". On the forum, someone from H2O suggested that Kaggle Scripts' installation of H20 might be out of date and I should contact a Kaggle admin about this. Thanks.",0,None,11,Thu Nov 05 2015 22:33:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17319,None,None
/rusticodanan,Calling all Filipino Kagglers. ,Ano ang ginamit nyong butong numero para maikumpara ang mga modelo na ginagamit sa mga Hindi pinagplanuhang kagubatan at xgboost.,1,None,2,Fri Nov 06 2015 01:36:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17320,/competitions/rossmann-store-sales,325th
/miroslaw,Feature Engineering is your friend,"Just letting you all know, you can get a top 10 public leaderboard entry with a single model, no ensembles required. Feature Engineering is your friend. If I were to guess, a score <0.55 is within reach on this competition. <0.5 might be difficult, but I hope someone can pull it of. The state of the leaderboard at the time of this post: [Image]:http://i.imgur.com/id8MpMI.png",15,gold,58,Fri Nov 06 2015 11:19:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17322,/competitions/walmart-recruiting-trip-type-classification,44th
/dawny33,Can I use Python's ML libraries while working on Scala in Spark?,"I want to use Python's Deep Learning libraries like Keras, Theano, etc; but would like to use Scala in Spark, due to it's superior speed and features at handling Big Data. So, is there a way I can do that? PS: Spark is hosted on an AWS EC2 cluster.",4,bronze,10,Fri Nov 06 2015 13:43:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17323,None,None
/michalthedude,Scikit - target variable encoding help!,"Hi, I have started to use Python, but I have a problem with Target variable encoding for scikit-learn models. I know how to convert label to number in case of TRAIN data: # Enumerate target variable - cuisine lbl = preprocessing.LabelEncoder() train[""cuisine""] = lbl.fit_transform(train[""cuisine""]) copy And I know how to convert backward: train[""cuisine""] = lbl.inverse_trainsform(train[""cuisine""]) My question: how to convert from number to label if I make a prediction on TEST data?",0,None,1,Fri Nov 06 2015 13:59:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17324,/competitions/whats-cooking,392nd
/jalfaizy,[Deleted Kernel],"On running the same code on my PC, it gives wrong result. import theano; import lasagne Using gpu device 0: GeForce GT 740M (CNMeM is disabled) theano.version '0.7.0.dev-ecd9dc0ba6fa70b7f65c6de620c21e502c414c5e' lasagne.version '0.2.dev1' Running Convetional Net. Optimization progress below # name size --- ------- ------ 0 input 784 1 hidden1 200 2 hidden2 200 3 output 10 epoch train loss valid loss train/val valid acc dur ------- ------------ ------------ ----------- ----------- ----- 1 2.25089 2.16019 1.04199 0.27381 0.77s 2 2.02435 1.90567 1.06228 0.35477 0.73s 3 1.81937 1.78117 1.02145 0.37881 0.73s 4 1.72273 1.73410 0.99345 0.38650 0.73s 5 1.67469 1.71252 0.97791 0.39236 0.73s 6 1.64556 1.70137 0.96720 0.39544 0.72s 7 1.62495 1.69513 0.95860 0.39733 0.73s 8 1.60885 1.69132 0.95124 0.39828 0.73s 9 1.59585 1.68837 0.94520 0.40082 0.73s 10 1.58483 1.68784 0.93896 0.39917 0.73s 11 1.57529 1.68635 0.93414 0.40082 0.72s 12 1.56672 1.68642 0.92903 0.40000 0.74s 13 1.55899 1.68623 0.92454 0.40177 0.74s 14 1.55190 1.68681 0.92002 0.40118 0.72s 15 1.54531 1.68748 0.91575 0.40201 0.73s 16 1.53907 1.68765 0.91196 0.40248 0.72s 17 1.53317 1.68778 0.90839 0.40307 0.73s 18 1.52765 1.68950 0.90420 0.40390 0.73s 19 1.52234 1.69138 0.90006 0.40485 0.72s 20 1.51731 1.69193 0.89679 0.40414 0.73s 21 1.51243 1.69270 0.89350 0.40461 0.72s 22 1.50777 1.69395 0.89009 0.40556 0.73s 23 1.50330 1.69547 0.88665 0.40532 0.73s 24 1.49881 1.69712 0.88315 0.40449 0.72s 25 1.49453 1.69776 0.88029 0.40426 0.75s 26 1.49030 1.69970 0.87680 0.40319 0.73s 27 1.48625 1.70118 0.87366 0.40367 0.73s 28 1.48245 1.70352 0.87023 0.40272 0.73s 29 1.47864 1.70617 0.86665 0.40177 0.73s 30 1.47476 1.70817 0.86336 0.40153 0.73s 31 1.47084 1.71253 0.85887 0.40142 0.72s 32 1.46688 1.71256 0.85654 0.40213 0.73s 33 1.46302 1.71669 0.85223 0.40106 0.73s 34 1.45942 1.71945 0.84877 0.40100 0.73s 35 1.45574 1.72086 0.84594 0.40195 0.73s 36 1.45211 1.72315 0.84271 0.40207 0.72s 37 1.44854 1.72523 0.83962 0.40148 0.75s 38 1.44513 1.72792 0.83634 0.40213 0.77s",0,None,3,Fri Nov 06 2015 16:57:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17325,None,None
/littlefishna,Could someone give us the completed test data?,"We are very interested in this topic and also think the data are great. However, the test data already provided are not completed, which means there is no ""SeriousDlqin2yrs"" in the test data. Could someone please give us these data and we will be pretty appreciated. Many thanks.",0,None,1,Fri Nov 06 2015 17:41:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17326,/competitions/GiveMeSomeCredit,None
/richardnam,Submission file structure,"Hey all, quick question on the submission structure. I took a look at the submission sample and am wondering if along the x axis if the trip type is supposed to be reported as a 1 (true) or if they're supposed to have probabilities. Thanks.",0,None,2,Sat Nov 07 2015 00:35:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17328,/competitions/walmart-recruiting-trip-type-classification,None
/willieliao,Scripts - package updates,Are updates to 3rd party libraries regularly done? I'm specifically looking to use R's data.table version 1.9.6.,1,None,1,Sat Nov 07 2015 02:38:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17329,None,None
/niranjanmudhiraj,Team Member,"Dear Friends, i am good at R,Python,RH2O and Deep Learning.",0,None,2,Sat Nov 07 2015 06:19:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17330,/competitions/noaa-right-whale-recognition,160th
/nhanwei,R or Python,"Hi all! This is my first time participating in a Kaggle competition. I'm currently generating more features for this competition and I suspect I might be getting some memory issue soon. I have spent considerably large amount of time coding in R and it has always been my go-to language of choice all the time. However, (after doing some reading) I heard that Python is more popular as a programming language for Kaggle competitions. I just want to find out what are the language preferences for this Walmart competition. Thanks!!! Stan",1,None,8,Sat Nov 07 2015 06:21:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17331,/competitions/walmart-recruiting-trip-type-classification,77th
/vlowflo,Data Mining methods used?,"Hello guys, I am knew to the topic ""data science"". I started class 3 weeks ago at university. The prof wants us now to use a dataset from Kaggle and I choose Walmart cuz the data looks nice. However, I imported the data and now I am struggeling what I could do next. Can someone of you give me advice on what kind of data mining method I could use here? Just that I have some topics which i could read literature about. In class we use pyhton as language. Really appreciate it. Thank you!",0,None,7,Sat Nov 07 2015 10:35:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17332,/competitions/walmart-recruiting-trip-type-classification,None
/andrewczeizler,direction.,"so I know no code can be shared on the forum. but i was wondering if maybe one of the more experienced members of the forum can point me to a public website so that I may be able to make a start. I just need a little bit of help in the right direction, Many thanks all, Andrew",0,None,8,Sat Nov 07 2015 11:33:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17333,/competitions/the-winton-stock-market-challenge,None
/randomscientist,GPU necessary?,"Kind of a silly question, but to be a serious contender in this (and other) Kaggle competitions, is a a decent GPU a must, especially if using neural networks? I mean, if it were about fitting one model, I can let the program run overnight, but when it comes to comparing various parameters/cross-validating, I just feel like one's at a disadvantage if you don't have access to a GPU. But perhaps I'm mistaken. Thanks in advance for any input.",0,None,4,Sat Nov 07 2015 16:04:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17334,/competitions/walmart-recruiting-trip-type-classification,37th
/jordangoblet,Density of each class?,Does someone know the density of each class in the test set? Did someone learn it thanks to multiple submissions?,-4,None,5,Sat Nov 07 2015 18:26:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17335,/competitions/walmart-recruiting-trip-type-classification,62nd
/piotrgrabo,"Extremely small training set, missing data. Looking for some feedback.","Hey Dear Kagglers, I woud like to direct a question to the community. I am a biomedical scientist, working with quite specific datatsets. We are using machine learning to find certain patterns in such datasets with quite some success since few years, but I thought that maybe asking a question here would help develop the process faster. We have data that have on average 30-200 features, around 40% missing values. The training sets are sometimes around 100-300 entries, but we also deal with training sets as tiny as 20 or 5. This stems from the nature of what we study (protein complexes). So far we are using Random Forests (WEKA implementation, so no imputation) and it seems to work really nice. However, maybe you could give some hints for techniques and methods to handle both tiny training sets and missing values a bit more robustly ? Any names or new things that I should go and read about ? I would be delighted to get some feedback ! Best, Piotr",0,None,4,Sat Nov 07 2015 18:58:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17336,None,None
/andland,libFM package for R,"I have recently developed an R package for libFM, called libFMexe, and available on [Link]:https://github.com/andland/libFMexe. This package provides a rough interface to libFM using the executable with R. It does this in two ways: model_frame_libFM() and matrix_libFM() convert data into libFM (also LIBSVD) format model_frame_libFM() is very fast when your data are factors with many levels It calls the libFM executable with your data and returns the resulting prediction As an example of its usefulness, we can do a collaborative filtering task with the 100k Movie Lens data. It only takes around 16 seconds on my laptop to convert the 100,000 records to libFM format and solve for the 10 latent factors. # devtools::install_github(""andland/libFMexe"") library(libFMexe) data(movie_lens) set.seed(1) train_rows = sample.int(nrow(movie_lens), nrow(movie_lens) * 2 / 3) train = movie_lens[train_rows, ] test = movie_lens[-train_rows, ] predFM = libFM(train, test, Rating ~ User + Movie, task = ""r"", dim = 10, iter = 500) mean((predFM - test$Rating)^2) #> [1] 0.8189204 copy More details on installation and use are given in the README and documentation. Let me know if you have any feedback.",10,bronze,2,Sat Nov 07 2015 23:41:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17337,None,None
/mgkaggle,About the report...,"Hello Bojan et al., I have a proposal regarding the report: Is it possible that we could submit the report the weekend AFTER the presentations? My arguments are: We could include valuable feedback from the presentation and answer questions that arose during it. We could include the final leaderboard and draw conclusions about our model's ""real"" performance (e.g. overfitting). It'd spread the workload better, meaning: At the moment, for a ""Challenge Weekend"", we have to do: The challenge itself, the presentation, the report, homework. And for a weekend following a challenge, all we have to do is homework. (Plus, it'd save my NFL Super Sunday… =P) Let me know what you think about it. Best regards",0,None,1,Sun Nov 08 2015 07:26:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17340,/competitions/anomaly-detection-challenges-2015,5th
/enfeizhan,Dataset incomplete,"Just have a review of the dataset. In all the data we have got before the semi final, we don't have the data for the match Australia vs England. Could admin confirm this? If so, can the data for this match still be provided? Thanks!",0,None,2,Sun Nov 08 2015 08:27:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17341,/competitions/melbourne-datathon-2015,4th
/enfeizhan,Dataset incomplete,"Just have a review of the dataset. In all the data we have got before the semi final, we don't have the data for the match Australia vs England. Could admin confirm this? If so, can the data for this match still be provided? Thanks!",0,None,1,Sun Nov 08 2015 08:27:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17342,/competitions/melbourne-datathon-2015,4th
/eugeneyan,Anyone managed to get xgb to work well for this?,Been trying xgb with basic features and parameters but can't seem to get MAE < 25. Noticed that my predictions have a mean of 3.8+ whereas predictions from the h20_rf script have a mean of 1.564. I wonder if it's due to using xgb to optimize for rmse (as a proxy for mae). =/ Anyone else facing the same problem?,1,bronze,7,Sun Nov 08 2015 10:39:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17343,/competitions/how-much-did-it-rain-ii,26th
/vladislavbelyaev,Changing a model during the last week,"Hi, I have 2 questions to administration. As far as I understood from the rules, the process is the following: up to 02/5/15 - we must upload a) submission answers, b) the model and its description on the 02/6/15 - the final test set will be released (for those who passed through the first stage) up to 02/13/15 - we must upload the final submission answers based on the new dataset. My questions are: 1) Can our team change the model and its description between 02/6 and 13/02 and then upload them again? In order to fine tune it for the final test set or try some new methods? Or not? 2) Will the leaderboard be updated accordingly between 02/6 and 13/02? So that we start at 02/6 with a ""clear"" list of participants and during the last week everybody can see the results and react accordingly. Thank you in advance for the answers.",0,None,1,Sun Nov 08 2015 14:08:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17345,/competitions/the-allen-ai-science-challenge,None
/del=7e48d5cf18df9cf2,Is this data valid?,I was looking for maximum intraday minute level return and found that the maximum possible return within a minute is 23%!!! Is this even valid data? Infact all return for row number 34488 seem very high! 3.21% 2.18% 1.23% -1.26% 0.03% 1.65% 0.44% -2.96% -1.36% 1.55% -0.13% 1.33% -0.03% -0.03% -0.68% 1.28% 0.70% -0.47% -1.70% 0.90% -0.49% -0.62% -0.13% -1.39% 1.12% 0.00% 1.22% 1.76% 2.59% 3.34% -1.14% -0.76% 1.90% 4.01% -1.83% 1.40% 1.98% 2.62% -2.12% 5.67% 2.71% 3.93% 2.80% 1.26% -4.24% 4.31% 3.00% 5.97% -0.37% 1.52% 5.26% 6.36% 3.39% 3.47% 23.38% 6.67% -18.42% -3.19% -2.77% -0.75% -8.97% -7.44% -5.51% -1.76% 0.29% -3.75% -3.84% 9.56% -6.56% -10.99% 0.32% -0.88% -9.01% 0.13% -4.65% -1.24% 2.22% -0.06% 5.18% 1.14% 1.03% -5.55% 3.28% 0.98% 1.06% 4.34% 1.22% -0.21% 4.30% 11.81% 8.73% -12.83% -4.43% 0.65% -6.36% -2.19% 3.42% 1.35% -4.91% -0.52% -4.18% -2.00% -2.91% -2.21% 2.28% -2.34% 3.13% -0.54% 0.86% -0.32% -2.45% 2.39% 0.07% 1.83% 2.97% 4.73% -2.16% -0.75% 0.79% 3.47% -1.59% 0.56% -2.71% 1.21% -0.21% -3.07% -2.97% -1.39% -2.28% 0.98% -1.76% -0.90% -1.86% -2.56% 1.51% -1.16% -1.40% -6.05% -10.28% 4.74% 2.90% 1.74% 0.43% 1.14% -0.93% 2.73% 2.84% 0.06% -0.89% 2.05% -3.19% -0.65% -2.71% 2.12% 1.46% 0.91% 1.61% 3.35% 0.08% 0.70% -1.98% 1.29% 0.97% 2.97% 1.55% -0.54% 2.57% 0.79% -0.20% 0.23% -3.07% 0.80% -1.09% 0.51% 0.19% -1.62% -1.31% -0.65% 0.21%,0,None,11,Sun Nov 08 2015 16:47:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17347,/competitions/the-winton-stock-market-challenge,None
/dsoreo,Parallel Random Forest,"Is running five 50 trees random forest in parallel (in R) equivalent to running a RF model with 250 trees? For instance is this code rf_model_par <- foreach(i=0:4, .combine=combine, .multicombine=TRUE, .packages=""randomForest"") %dopar% { set.seed(i) randomForest(Sales~., data=train_train, do.trace=TRUE, ntree=50, replace=FALSE, importance=TRUE, samplesize=100000, mtry=10, nodesize=5) } copy equivalent to rf_model_srl <- randomForest(Sales~., data=train_train, do.trace=TRUE, ntree=250, replace=FALSE, importance=TRUE, samplesize=100000, mtry=10, nodesize=5) } copy If not, does anyone know a way to run in parallel large number of trees in RF in R?",0,None,2,Sun Nov 08 2015 18:56:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17348,/competitions/rossmann-store-sales,165th
/del=9f22e8860bc1addb,Is there a way to calculate/estimate running time for ML algorithms?,Is there any way to calculate estimations of training run time given a dataset and the algorithms you have? For example the Walmart dataset has ~ 650.000 rows with 6 features and I would like to run e.g. Gradient Boosting machines with 10 fold cross validation. Of course this is dependent on machine but more like a ballpark estimation given cpu of x and ram of y.,0,None,2,Sun Nov 08 2015 21:08:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17349,None,None
/del=9f22e8860bc1addb,Why convert to dummyvars instead of integers?,"Is there any reason besides that you can add metadata to factors that you would create dummyvars instead of integers? E.g. I have male/female in my dataset and instead of making 1-2 dummyvars I just substitute with ifelse(var=='Male"", 1, 0).",0,None,2,Mon Nov 09 2015 09:10:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17350,None,None
/jalfaizy,Scripts for this competition,Is sharing scripts not allowed in this competition?,0,None,4,Mon Nov 09 2015 09:23:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17351,/competitions/street-view-getting-started-with-julia,None
/savaiko,Size of the model ,[Link]:https://www.kaggle.com/Admin Is there any restriction on the size of the model ? Also wanted to know the format of the model.,0,None,1,Mon Nov 09 2015 16:16:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17352,/competitions/the-allen-ai-science-challenge,None
/christopherreadwinton,Careers at Winton,"Hi, I’m Chris from the Talent Team at Winton. Thank you to everyone who has already downloaded the data and is participating in the competition. I'm here for any questions about career opportunities, the work of researchers and engineers at Winton, or anything else Winton-related, so ask away! We hope you enjoy the challenge and good luck!",3,bronze,39,Mon Nov 09 2015 17:09:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17353,/competitions/the-winton-stock-market-challenge,None
/paulperry,valuation_entities_details meaning,What is the interpretation of urv_ven_quantity_ind like 'N' and urv_ven_quality_ind like 'N' ? Does that mean this entity record is invalid? What do you think? There are a lot of them!,0,None,2,Mon Nov 09 2015 17:15:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17354,/competitions/deloitte-western-australia-rental-prices,13th
/wenlie,"How usefull is ""fixing"" a store specific day outlier?","I am currently using a XGBoost model and I saw that many stores have some really unexpected values of sales in some, maybe random, days. I'm new at this so forgive me for the newbie question but how much could I gain dealing with those outliers one by one? How much is the XGB model affected by it?",0,None,1,Mon Nov 09 2015 18:19:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17355,/competitions/rossmann-store-sales,254th
/andrelopes1705,Is 1.0000 score possible or its fake?,Is 1.0000 score possible or its cheating?,0,None,3,Mon Nov 09 2015 20:47:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17356,/competitions/digit-recognizer,None
/skcary,ModelChecking,"Very helpful script thank you for sharing. When imputing values, I'm curious as to why you chose the numbers you did. For CompetitionOpenSinceYear and CompetitionDistance, why not use the mean/median values?",0,None,2,Mon Nov 09 2015 21:56:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17357,None,None
/deepcnn,Already ~97% on the start date?,I should start homeowners insurance company right now :-),4,bronze,16,Mon Nov 09 2015 22:35:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17358,/competitions/homesite-quote-conversion,None
/lawrencechernin,Explore resultwith different classifiers,This script runs fine in python 2.7 ( need to change print statement to run in python 3) The best result is with Adaboost. Accuracy: 81.405%,2,bronze,1,Mon Nov 09 2015 23:23:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17359,None,None
/mpearmain,Xgboost_benchmark,Simple python script for xgboost to get a score of 0.95971,6,silver,25,Tue Nov 10 2015 01:30:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17361,None,None
/saurabh713,Data Interpretation,"I'm using this data set for my class final project. To begin with, I was wondering how to handle the instances with the same 'Visit Number'. All instances of the same 'Visit number' will contribute to the assigned 'Trip Type' label. Also, the count of instances differ for every 'Visit number'. Is my interpretation of the data set correct? Can we use Neural Networks for this? I little direction will help a lot. Thanks! [Apologies if my question is too naive]",0,None,1,Tue Nov 10 2015 05:25:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17363,/competitions/walmart-recruiting-trip-type-classification,None
/messels,Google's Library TensorFlow Now Open Source,"FYI, pretty cool imo. Been working on research for my thesis so I haven't been able to participate in a competition over the last month+ but TensorFlow seems like it could be a ""one-stop shop"" to replace things like SciKit / Keras / etc packages. whitepaper: [Link]:http://download.tensorflow.org/paper/whitepaper2015.pdf python docs: [Link]:http://www.tensorflow.org/api_docs/python/index.md I'll update as I have time to experiment but if ""you"" get to it first and experiment, it'd be awesome to hear about your experience using it.",3,bronze,4,Tue Nov 10 2015 11:42:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17364,/competitions/the-winton-stock-market-challenge,None
/m0hitr,Demand cannibalisation among Stores ?,Has anybody tried modelling cannibalisation among Stores due to promotion being run in one and not there in nearest Rossmann store ?,4,bronze,1,Tue Nov 10 2015 12:09:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17365,/competitions/rossmann-store-sales,1484th
/balajee,How to reshape in r with large features?,I am unable to reshape the data frame because it does not have enough memory to do that?,0,None,11,Tue Nov 10 2015 17:13:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17367,/competitions/walmart-recruiting-trip-type-classification,814th
/gjp123,Phase 1 Predictions,Can somebody confirm that objective of the phase one task is: to predict availability for each station for the next 3 months This doesn't seem to make sense since there seems to be one file to submit and the example file has one value per station. The task would make more sense to me if we had to predict for the next 3 hours. The general intro to the task also says to : predict the number of available bicycles in all rental stations 3 hours in advance. Graham,0,None,1,Tue Nov 10 2015 19:08:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17368,/competitions/morebikes,13th
/gjp123,Data Fields descriptions,The section Data fields on the page titled Data says bikes_3h_ago The profile variables are calculated from earlier available timepoints on the same station. I think this should have a new paragraph after bikes_3h_ago,0,None,1,Tue Nov 10 2015 19:16:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17369,/competitions/morebikes,13th
/beteemde,How to get to rank 39 with one line of code,"Provided, the train, test and submission file is already in the workspace, try the following: sample_submission$Predicted<-as.numeric(replicate(60000,apply(train[,148:209],FUN=median,MARGIN=2))) done.",26,gold,19,Tue Nov 10 2015 19:31:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17370,/competitions/the-winton-stock-market-challenge,184th
/mcadena,relation between train and test data,"A question to data suppliers: which is the relation between variable id in train data and id in test data, if any ?",0,None,5,Tue Nov 10 2015 19:53:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17371,/competitions/how-much-did-it-rain-ii,None
/vasilis73,sample submission,"Hi all, I was wondering why the trip type, that we predict from the test.csv, is not including in the sample submission. After all, it is the variable we have to predict, isn't it? A second question I've got is whether we need to submit the scored probabilities for all 95674 visits of the sample submission file. Thanks Vaz",0,None,3,Tue Nov 10 2015 21:37:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17374,/competitions/walmart-recruiting-trip-type-classification,889th
/mohamedezzeldin,What is categorization accuracy?,"The leaderboard uses categorization accuracy for ranking. I could not find a description of this metric on kaggle, anybody have an idea how categorization accuracy is defined ?",1,None,2,Wed Nov 11 2015 00:28:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17376,/competitions/anomaly-detection-challenges-2015-challenge-2,2nd
/naokomakino,Project Titanic,"I'm trying to explore the data by writing the following code; head(trainData) When I type in the R script within RStudio, the code doesn't run and I get this error message ""Error in head(trainData) : object 'trainData' not found"". The following code did run; setwd(""/Users/naokomakino/Desktop/kaggle/"") <- read.csv(""train.csv"", header = TRUE, stringsAsFactors = FALSE) testData <- read.csv(""test.csv"", header = TRUE, stringsAsFactors = FALSE) Can you let me know what I am doing wrong ? Should I use R app instead of RStudio? If so, where should I type the code in? Thanks!",0,None,2,Wed Nov 11 2015 07:28:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17377,None,None
/imnishantg,Algorithms for high-dimensional categorical / mixed data [Question from Newbie],"Hi fellow Kagglers, a newbie here. While there are variety of algorithms for finding a low-dimensional subspace from a high-dimensional numeric data (For eg. PCA, MDS, t-SNE, etc.), i have not come across many algorithms or dimensionality reduction techniques that are used for high- dimensional categorical or numeric-and-categorical data. Some of you might want to say lmgtfy… so I already did that. The only technique that I came across was MCA (multiple correspondence analysis) and quite a few research papers. I hope that there is more out there. Could you share the names of most relevant algorithms or techniques (including pre-processing techniques, if any)… I would take up from there. Please do share links of some good literature / lectures if you have any!! Thanks all.",8,bronze,1,Wed Nov 11 2015 08:12:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17378,/competitions/walmart-recruiting-trip-type-classification,None
/romainlu,Use the data for a class project,"Good morning, I'm a student and I'm wondering if I can use the data for a class project in data science ? Best regards, Romain.",0,None,3,Wed Nov 11 2015 10:22:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17380,/competitions/GiveMeSomeCredit,None
/dbarbato2,Welcome!,Welcome to the Homesite Quote Conversion Challenge! Here at Homesite we are very excited to be hosting our first Kaggle competition. We look forward to learning new methods and approaches to solving the variety of analytics challenges that we face. We’re hosting this challenge because there are many benefits to predicting conversion such as gaining insights into our prospective customers and how our actions influence purchasing behavior. My name is Darrel and I’m the Head of Predictive Analytics at Homesite. I’ll do my best to answer any questions I can along the way and thank you very much for participating!,4,bronze,21,Wed Nov 11 2015 14:12:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17382,/competitions/homesite-quote-conversion,None
/andrelopes1705,How many classes does this data has?,"How many classes does this data has? From my study, it has only 60 classes and not 64. #### zero = 0 one = 1 two = 2 three = 3 four = 4 five = 5 six = 6 seven = 7 eight = 8 nine = 9 #### A = 10 B=11 C=12 D=13 E=14 F=15 G=16 H=17 I=18 J=19 K=20 L=21 M=22 N=23 O=24 P=25 Q=26 R=27 S=28 T=29 U=30 V=31 X=32 Y=33 Z=34 a=35 b=36 c=37 d=38 e=39 f=40 g=41 h=42 i=43 j=44 k=45 l=46 m=47 n=48 o=49 p=50 q=51 r=52 s=53 t=54 u=55 v=56 x=57 y=58 z=59 copy Am i missing something?",0,None,6,Wed Nov 11 2015 14:32:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17383,/competitions/street-view-getting-started-with-julia,None
/johnblythe,First Task Errors Out ,"hi all, this is my first time ever using python so please bear with me filling in the gaps here. on the [Link]:https://www.kaggle.com/c/titanic/details/getting-started-with-python i'm getting an error during this code block: prediction_file_object.writerow([""PassengerId"", ""Survived""]) for row in test_file_object: # For each row in test.csv if row[3] == 'female': # is it a female, if yes then prediction_file_object.writerow([row[0],'1']) # predict 1 else: # or else if male, prediction_file_object.writerow([row[0],'0']) # predict 0 test_file.close() prediction_file.close() copy the particular offender is test_file.close() the error message prints out as such: File ""<stdin>"", line 6 test_file.close() ^ SyntaxError: invalid syntax copy I tried it several times and it happened in each case. also worth noting, after the initial error if i try to close that file it works fine. the info doesn't write to the file though, so i'm guessing that's related to the error. thanks for any info!",0,None,1,Wed Nov 11 2015 22:15:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17384,/competitions/titanic,None
/alessandronegrini,Fix hours,Can you please fix the hours? It seems that it is one hour behind … thanks,0,None,2,Thu Nov 12 2015 00:04:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17385,/competitions/recommender-system-2015-challenge-polimi,15th
/predictor,Open-Source Code,"I'm not clear on the Rules section titled 'Open-Source Code'. MATLAB is not open source, but if I submit a solution written in MATLAB which is otherwise legally unfettered, is that acceptable?",0,None,2,Thu Nov 12 2015 03:58:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17386,/competitions/homesite-quote-conversion,None
/sayantan,Inputs on feature engineering for Store Prediction / Regression challenges,"I am a novice am having a tough time improving prediction on this problem and hence would like to have some inputs from experts. [Link]:https://www.kaggle.com/Admin, is it OK if I discuss the approach I have taken with others to take get insights. If it does not violate the rules of the competition, then I will proceed with sharing my approach with others, in the next thread. Regards Sayantan",1,bronze,10,Thu Nov 12 2015 06:10:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17387,/competitions/rossmann-store-sales,851st
/keggle,Need Help With Titanic Excel,"The direction says that I need to have only two columns for submission: PassengerId and Survived, but I have a problem. When I delete the ""sex"" column that changes my survival column all to zero because it messes with the formula =IF(C5=""female"",1,0). How do I only have two columns then if deleting them all messes with my survival column?",0,None,2,Thu Nov 12 2015 06:40:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17388,None,None
/rockbottom73,Class imbalance problem?,81% values in target column are 0 and 19% values are 1. Do I have to balance it before applying a classifier?,0,None,1,Thu Nov 12 2015 07:31:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17389,/competitions/homesite-quote-conversion,939th
/nrcjea001,Rules of this competition?,"Hi All This is my first Kaggle competition! Thus, I am a noob. Please may you assist me with the following queries about the rules of this comp: Are we required to separately predict each target variable? May we use a target variable as a feature to predict another target variable (e.g. Using Ret_PlusOne to predict Ret_PlusTwo)? Thanks",0,None,1,Thu Nov 12 2015 08:37:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17390,/competitions/the-winton-stock-market-challenge,None
/entron,Open but no sales?,"I find there are a few cases when the stores were open but Sales=0 in the training data. Why can this happen? For example: {'SchoolHoliday': '1', 'Open': '1', 'Promo': '0', 'Sales': '0', 'Customers': '0', 'Store': '971', 'Date': '2015-05-15', 'StateHoliday': '0', 'DayOfWeek': '5'} {'SchoolHoliday': '0', 'Open': '1', 'Promo': '0', 'Sales': '0', 'Customers': '0', 'Store': '674', 'Date': '2015-03-26', 'StateHoliday': '0', 'DayOfWeek': '4'} {'SchoolHoliday': '0', 'Open': '1', 'Promo': '1', 'Sales': '0', 'Customers': '0', 'Store': '699', 'Date': '2015-02-05', 'StateHoliday': '0', 'DayOfWeek': '4'} {'SchoolHoliday': '0', 'Open': '1', 'Promo': '1', 'Sales': '0', 'Customers': '0', 'Store': '708', 'Date': '2014-10-01', 'StateHoliday': '0', 'DayOfWeek': '3'} {'SchoolHoliday': '0', 'Open': '1', 'Promo': '0', 'Sales': '0', 'Customers': '0', 'Store': '357', 'Date': '2014-09-22', 'StateHoliday': '0', 'DayOfWeek': '1'} {'SchoolHoliday': '0', 'Open': '1', 'Promo': '0', 'Sales': '0', 'Customers': '0', 'Store': '227', 'Date': '2014-09-11', 'StateHoliday': '0', 'DayOfWeek': '4'} {'SchoolHoliday': '0', 'Open': '1', 'Promo': '0', 'Sales': '0', 'Customers': '0', 'Store': '835', 'Date': '2014-09-11', 'StateHoliday': '0', 'DayOfWeek': '4'} {'SchoolHoliday': '0', 'Open': '1', 'Promo': '0', 'Sales': '0', 'Customers': '0', 'Store': '835', 'Date': '2014-09-10', 'StateHoliday': '0', 'DayOfWeek': '3'} {'SchoolHoliday': '1', 'Open': '1', 'Promo': '1', 'Sales': '0', 'Customers': '0', 'Store': '548', 'Date': '2014-09-05', 'StateHoliday': '0', 'DayOfWeek': '5'} {'SchoolHoliday': '0', 'Open': '1', 'Promo': '1', 'Sales': '0', 'Customers': '0', 'Store': '28', 'Date': '2014-09-04', 'StateHoliday': '0', 'DayOfWeek': '4'} copy",5,bronze,1,Thu Nov 12 2015 12:26:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17391,/competitions/rossmann-store-sales,3rd
/perceptualrobots,How long does deep learning implementation take?,"Supposing I wanted to set up a system for recognising supermarket trolleys from a real world robot what would be involved in implementing this and how long would it take, for someone familiar with deep learning? For example, how long would these stages take? Set up - install and set up deep architecture Data set - create training data set by acquiring suitable images of target from internet and video stream Train - run training of feature hierarchy Measure - develop measure of target object position in image for the purposes of localisation by robot pan and tilt camera Are there other stages required? I couldn't find a specific deep learning forum, is there one, where it would be more appropriate to post this query? Regards, Rupert",0,None,1,Thu Nov 12 2015 12:35:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17392,None,None
/paolocremonesi,Private leaderboard(s),I will use this topic to publish periodically the private leaderboard [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98716/3248/Private Leaderboard - Recommender System 2015 Challenge Polimi .pdf,1,None,5,Thu Nov 12 2015 18:44:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17394,/competitions/recommender-system-2015-challenge-polimi,None
/taffeylewis,Christmastime.... is here!,I have no time for Kaggle these days… But I will always have time for a holiday challenge. Can we expect a new one again this year? Pretty please?,1,bronze,1,Thu Nov 12 2015 20:06:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17395,None,None
/tommycarpi,Private leaderboard evaluation,"I did not understand how the Private Leaderboard is calculated. Let's make an example: I make SUBMISSION_1 with these results Public L = 0.00200 Private L = 0.00200 after that I make SUBMISSION_2 and get this Public L = 0.00230 Private L = 0.00190 Obviously the final standing in the Public Leaderboard would be 0.00230, but what about the Private? Would it be 0.00200 or 0.00190 ??",0,None,2,Thu Nov 12 2015 20:11:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17396,/competitions/recommender-system-2015-challenge-polimi,19th
/leustagos,Alternative treatment for cancer,"Guys, this is totally and utterly off topic, but i just had to post. Its too important for me to shut up. It also explains why I haven't put up much of a fight lately on the competitions. I hope to take some credit on being once the number 1 around here and currently number 5 to show that I have actually done much digging before writing anything about this matter. I manually data mined information all around the internet (will this make it less off-topic?)! [Link]:http://kickingcancerass.blogspot.com.br/2015/11/alternative-treatment-for-cancer.html",28,gold,10,Thu Nov 12 2015 20:30:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17397,None,None
/ratnavelps,Can I use a piece of apache license software ,"Hi everyone, Can I build a solution that uses some software that is apache license",0,None,1,Thu Nov 12 2015 20:40:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17398,/competitions/homesite-quote-conversion,None
/keggle,Trouble with Python,"Hi I had downloaded the 2.7 python version and I clicked on IDLE. I try typing importing numpy, etc. and it gave me an error back saying this module does not exist. What am I doing wrong? How do I get this started? Thank you.",0,None,2,Thu Nov 12 2015 21:59:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17399,/competitions/titanic,None
/wuqiangchiq,How many classes of train images?,"There are 4545 training image.But I have a question : each training image belongs to a class? If so, every class only has one training image. Thanks!",0,None,2,Fri Nov 13 2015 02:36:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17402,/competitions/noaa-right-whale-recognition,83rd
/fwagner,Question submission file format,"Hi, the example file submission format is giving ""Id"",""Sales"" 1,0 2,0 3,0 4,0 ... 41083,0 41084,0 41085,0 41086,0 41087,0 41088,0 copy The prediction awaits 48 values per Store. Sould the Id be repeatet for each preticted value like in the train file ? Thanks !",1,bronze,3,Fri Nov 13 2015 11:11:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17404,/competitions/rossmann-store-sales,171st
/mizuyo,What is Promo?,"Hi all, I found some stores which aren't participating a continuing and consecutive promotion but are running a promo on some day, in other words they sometimes have Promo2 =0, Promo = 1 at that day. What promotion are these stores doing?",0,None,1,Fri Nov 13 2015 11:22:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17405,/competitions/rossmann-store-sales,2055th
/nadasg,classification for small dataset,"Hi all, I have a labeled data set with 25 instances and 5 attributes . Since the data is very small to build a model , what you suggest me to do in order to enhance the prediction accuracy? Is there ways to generate some data ? Thanks",0,None,2,Fri Nov 13 2015 15:26:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17407,None,None
/jonathanlxy,The purpose of this Trip Type classification?,"I am a business student, so while I'm doing this competition I just can't stop being curious about how exactly could this classification help Walmart's business? I can't really think of a way that being able to classify different customer visits could help Walmart ""create the best shopping experience for every customer""… So far my only idea is to provide targeted coupons based on customer shopping cart. For example, for regular grocery shoppers, provide coupons on store brands to courage them try a cheaper but high profit store brand instead of low-margin brands? Thank you for all of your time and enjoy data mining!",1,None,5,Fri Nov 13 2015 16:56:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17408,/competitions/walmart-recruiting-trip-type-classification,443rd
/klakhor,test dataset,"Hi everyone, I may be missing something.. but where can i find the dataset of test images? When I download the imgs.zip file, I don't seem to see a separate folder of test images.",0,None,2,Fri Nov 13 2015 17:46:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17409,/competitions/noaa-right-whale-recognition,223rd
/chriszeng,Any day and store with 0 sales is ignored in scoring?,"Hi dear kagglers, I know that in the evaluation page, it clearly explained that ""any day and store with 0 sales is ignored in scoring."", but there is one thing that seriously baffled me. Basically, I made the assumption that if a store is not open (i.e. Open==0), then the Sales must be zero (Because it is true for the training data). I submitted a result straight out of my xgboost model with non-zero values for the Open==0 entries, submitted it, which gave me an RMPSE of around 0.104. Then I zeroed out the Sales for entries with Open==0, and submitted it again (which I assume would not affect my result based on the statement on the evaluation page), but what suprised me was that my RMPSE went up to 0.72125. Can anyone please shed some light on it? I truly appreciate it. Cheers",0,None,4,Fri Nov 13 2015 17:51:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17410,/competitions/rossmann-store-sales,630th
/priyaranade,Clustering 60000 samples returns out of memory in python,"I am trying to cluster the stocks into groups based on features but 60,000 stocks throws an out of memory error in python. Any ideas how to solve this?",0,None,1,Fri Nov 13 2015 19:36:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17411,/competitions/the-winton-stock-market-challenge,None
/carloshuertas,Increase score resolution,"I think it could be useful, competition is in very early states but I would not be surprised if later we have huge blocks of apparently same score all over the leaderboard (not only click-submit) For instance, (sometimes) improvements of 0.000004 are not visible on the LB, and while its a ridiculous improvement, in this challenge, right now a difference of 0.00006 can buy you around 50 places in the LB and this will only become worst later.",8,silver,2,Fri Nov 13 2015 21:23:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17412,/competitions/homesite-quote-conversion,76th
/omarelgabry,File doesn't exist,"The script worked perfectly yesterday, but, when I tried to run it now, it shows that the file doesn't exit! Anyone else getting this error? Script: [Link]:https://www.kaggle.com/omarelgabry/homesite-quote-conversion/homesite-customers",1,bronze,3,Sat Nov 14 2015 03:03:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17413,/competitions/homesite-quote-conversion,1165th
/dimon0981,How to submit my script if it is not compatible with Kaggle system? ,"SQLight is good but probably not perfect for ML and visualization tasks. I'd like to download this dataset to my machine, perform some data preparation and implement a ML scenario with this dataset. Obviously, my scripts won't be compatible with Kaggle scripting system. How can I publish my script? Can I compete with my local scripts?",0,None,8,Sat Nov 14 2015 03:59:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17414,None,None
/nrcjea001,WMAE and Weights,"Hi All I'm using the GBM in R for this competition. I'm currently supplying the ""weight"" argument in the GBM with the given weights ""Weight_IntraDay"" and ""Weight_Daily"". I've also specified the distribution to be ""laplace"" in an attempt to approximate the WMAE. I just want to know if my thought process here is ok or am I way off base? Thanks in advance.",0,None,1,Sat Nov 14 2015 09:38:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17415,/competitions/the-winton-stock-market-challenge,None
/adrianrg,How to compensate missing values for second semester 2014,"Hello, I did an exploratoy analysis about the train and test data and I found that there are some missing values in train data for the second semester of 2014 that not let us to have a continue time series view for some specific stores. There is a gap of data for 180 stores (=1115-935). My question is, what should we do?. How to compensate that? How this would affect to the final result for any store to predict in the test set that dont appear or we dont have a continuos time series for the second semester of 2014. [Link]:https://image-store.slidesharecdn.com/1d032ec9-1d31-4dbf-aff3-4dfd2e82ed27-original.png",0,None,3,Sat Nov 14 2015 14:39:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17416,/competitions/rossmann-store-sales,2866th
/gerbenvv,Missing values?,"Hi, should we interpret -1 as a missing value? Because that has quite a different meaning than letting it have a certain categorical value.",1,bronze,4,Sat Nov 14 2015 17:02:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17417,/competitions/homesite-quote-conversion,None
/kevinmcisaac,Western Australia Rental Prices: Are you looking for local market insights,I'm interested in supporting one of the teams in the Western Australia Rental Prices competition. I've lived 30 years in I've lived in Western Australia for 30 years I own multiple rental properties in Australia Several are in WA I have a PhD in Quantum Mechanics but only just started studying Data Science I'm willing to work for the experience and not share in the prize.,0,None,3,Sat Nov 14 2015 22:04:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17419,None,None
/vinhnguyen,Complete Train Set  Head Annotations,"Inspired by the annotation project by [Link]:https://www.kaggle.com/Smerity [Link]:https://www.kaggle.com/c/noaa-right-whale-recognition/forums/t/16353/annotated-faces-for-noaa-right-whale I have personally annotated all whale faces in the train set. I hope every one can make good use of this. Intriguingly, using just the heads for training a deep convnet did not yield better results than the net I trained with the original images (scaled to 128x128), with which I got a local CV score of around 5.5, which translates to a LB score of 5.2 I guess the network did not learn any useful whale features, but mostly made the predictions based on irrelevant features, such as water colour (as there are many whale pictures taken in similar illuminating conditions with distinct water color variations). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/98846/3250/whale_faces_Vinh.json",27,gold,9,Sun Nov 15 2015 02:34:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17421,/competitions/noaa-right-whale-recognition,None
/kburnham,Multiclass logloss for an ordered classification task,"Kaggle classification competitions typically use the [Link]:https://www.kaggle.com/wiki/MultiClassLogLoss to evaluate the fit of a model to a dataset. Is there is a similar metric that can be used to evaluate classification predictions when the categories of the response variable are ordered? So if for example you are trying to predict the day of the week an event will occur on, probabilities assigned to days that are two away from the correct day should incur more of a penalty than probabilities assigned to days that are only one day away from the correct day. Thanks, Kevin",0,None,1,Mon Nov 16 2015 01:39:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17424,None,None
/anwjones,Two weeks to go,"The leader board looks a bit bogged, with a large number of players with an RMSE between 14 and 15. There are many more still ""waiting to pounce"". Don't wait too long ! The final position is still a bit random so it helps to have a number of different entries in contention for the winners podium and you only get to submit 2 entries a day. If you are scoring close to 14 and not sending in 2 entries per day you are wasting lottery tickets ! The variance of the RMSE (you can test this yourself with cross-fold validation) is around 1 unit, so even a model scoring 15 on the public test data could win by dumb luck on the private test data.",0,None,3,Mon Nov 16 2015 03:39:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17426,/competitions/ai-2015,None
/thequants,Estimating the minimal RMSPE,We can make a rough estimate of the RMSPE of an optimal model. Assumptions: The number of customers per day is governed by a Poisson process with mean lambda1 The sales per customer is propotional to the items bought and the number of items bought by a customer follows a Poissson process as well (lambda2) Assuming an average number of customers of 700 per day and an average number of items bought of 5 the minimum RMSPE is 0.0414.,11,silver,3,Mon Nov 16 2015 09:03:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17428,/competitions/rossmann-store-sales,10th
/ravisawhney,Proprietary software ,"Going to test a new machine learning as a service product using this dataset, as I understand this is OK to do, I can enter competition but not claim any prize which is fine with me. If I have misunderstood something pls let me know.",0,None,2,Mon Nov 16 2015 10:00:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17429,/competitions/homesite-quote-conversion,1297th
/ilyakanishchev,On the hand labelling,"To the Competition admins: I think, it will be very interesting to test how fast and efficient is hand labelling in this particular case. This maybe done in the following way: release new samples of the train/test data (8K-10K new photos) in the same format 5 days before the deadline. Then, it will be very interesting to compare results..",6,bronze,1,Mon Nov 16 2015 15:36:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17433,/competitions/noaa-right-whale-recognition,155th
/amandeepgautam,XGBoost + extra features,"I tried running the script and got this error. Traceback (most recent call last): File ""./xgboost-extra-features.py"", line 88, in train = build_features(features, train) File ""./xgboost-extra-features.py"", line 29, in build_features data['Year'] = data.Date.dt.year AttributeError: 'Series' object has no attribute 'dt'",0,None,5,Wed Nov 18 2015 01:34:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17460,None,None
/drjudy,Interested in starting a Silicon Valley meetup,"Hi all, I was wondering who here would be interested in starting or joining a meetup to do some of these competitions in Silicon Valley, specifically in the South Bay? I haven't found one yet so I'm assuming one doesn't currently exist for the South Bay region (this would be Mtn View/Sunnyvale/Santa Clara/San Jose). I would be willing to start one but want to see the level of interest. Judy",1,bronze,2,Wed Nov 18 2015 02:45:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17461,None,None
/xuyljob,Random Forest Benchmark,,38,None,22,Wed Nov 18 2015 06:57:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17462,None,None
/rohitnair220,"Error in if (n == 0) stop(""data (x) has 0 rows"") : argument is of length zero","Hello All .I m writing a code in R for random Forest. I got this error Error in if (n == 0) stop(""data (x) has 0 rows"") : argument is of length zero When i wrote this code. fir<- randomForest(Customers~ Store+DayOfWeek+Sales+Open+Promo+StateHoliday+SchoolHoliday,data=samp123,importance=TRUE,keep.forest=FALSE, ntree=250) fir.randomForest <- randomForest(fir, data=samp123) Can anyone please help me to rectify this error…",0,None,3,Wed Nov 18 2015 09:23:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17463,/competitions/rossmann-store-sales,1403rd
/silentrider,One Hot Encoder use across python files,"Hi all, I am using One Hot Encoder for pre-processing before multi label classification. I want to use the same encoder for training data as well as new data (which will become input to model built by training data to give predicted output) I understand I need to use the same One hot Encoder transformation across both. I saved the OneHotEncoder ""fit"" function (say) b=enc.fit(test) , I saved (pickle) b. Then, I used b.transform(newdata) , but I get the following error: IndexError: index 9320 is out of bounds for axis 0 with size 9316 [ New data contains 9316 rows while the encoder is built on a larger training dataset] Am I doing something wrong in saving the OneHotEncoder and reusing it? Thanks, Sanant",0,None,1,Wed Nov 18 2015 10:43:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17464,None,None
/fwagner,Question : xgboost and stacking,"Hi, this is my first kaggle competition and I am quite new to this filed mybe some one can help me with my question. I already read some posts / texts and interviews [Link]:https://www.kaggle.com/tqchen/otto-group-product-classification-challenge/understanding-xgboost-model-on-otto-data [Link]:http://blog.kaggle.com/2015/06/09/otto-product-classification-winners-interview-2nd-place-alexander-guschin/ [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/14335/1st-place-winner-solution-gilberto-titericz-stanislav-semenov [Link]:https://www.kaggle.com/mlandry/rossmann-store-sales/random-forest-example [Link]:https://www.kaggle.com/pchitta/rossmann-store-sales/arima-try [Link]:http://de.slideshare.net/ShangxuanZhang/xgboost [Link]:https://www.youtube.com/channel/UCnVzApLJE2ljPZSeQylSEyg and of course more ^^ But I dont understand how ist stacking with xgboost working ? Alexander Guschin descripted it in his post. Maybe someone give me a hint or something to read. Thank you !",3,None,11,Wed Nov 18 2015 14:20:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17468,/competitions/rossmann-store-sales,171st
/stsopov,"Different results of xgboost, depending on train date","Hi all! I have one question about the stability of working xgboost, depending on the date of train data. My start features are: simple categorial and continius variables (without hard feature engineering) Firstly, my validation set is last 6 weeks of train data ('2015-06-15' - '2015-08-01'), and my train set is data before '2015-01-01'. If I add two new features - Mean value of Sales (grouping by Store, DayOfWeek, Promo, year from the period before 2015-08-01) and Mean value of Customers (grouping by Store, DayOfWeek, Promo, year from the period before 2015-08-01) I get xgb result - CV = ~0.1055, LB = ~0.108 But, if I add to my train set the data from the period ('2015-01-01' - '2015-06-15), xgb result is - CV = ~0.1174, LB = ~0.12 What is the problem there? Maybe, I have done bad grouping for Customers - the most important feature, or the xgboost approach isn't good there. Thanks.",0,None,4,Wed Nov 18 2015 14:52:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17469,/competitions/rossmann-store-sales,33rd
/utah777,Loosing about 1% on LB vs local 5-Fold CV,"Can somebody enlighten me why am I loosing about 1% on LB vs local cross-validation and how can I control for overfit other than locally cross-validating my models? I have about 17 features: day of week, day of month, month, year, if Promo2 is rerun this month, if Promo is run this month, if this store have a competition, distance to competition, holidays etc. All of them are grouped (as opposed to OHE). I am fitting XGBoost. I have been adding features sequentially, checking RMSPE via 5-Fold cross-validation on the same fixed folds, and was sequentially observing decrease in RMSPE both in train- and held-out data sets. Finally I got to the mean RMSPE about .095 with sd about .0005. I was expecting below 0.1 on LB, but that only transferred to .106 (((( So, the reason is pretty obvious: overfit. But, how am I supposed to control for overfit if not using cross-validation? I tried earlier-than-optimal stopping and that counterintuitively, though expectedly, increased my LB score. Should I then fit to LB? I as well tried L1/L2 regularization, played with subsamples, max_depth etc., but the question is still the same: what tool should I use choosing best model if I can't I trust the results of local CV? Best cv-ed models do not bring about the best score on LB. Why?",1,bronze,5,Wed Nov 18 2015 17:29:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17471,/competitions/rossmann-store-sales,80th
/mrgloom,Any smart data imputation ideas?,"Some of the facial points in train data are NaN, so is there any missing data imputation algorithms that are better then just replace NaNs with mean value?",0,None,5,Wed Nov 18 2015 19:48:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17472,/competitions/facial-keypoints-detection,None
/eduardofv,Finding the Whale by Histogram Similarity,"Hi, I've written a script to extract the whale by differentiating it's histogram. Results are not perfect (foam and splashes messes with the identification) but I think it generally works. Hope this helps! [Link]:http://eduardofv.com/2015/11/18/detecting-whales-kaggle-right-whale-recognition-challenge/ [Link]:https://github.com/eduardofv/whale_detector [Image]:https://raw.githubusercontent.com/eduardofv/whale_detector/master/w_7489.jpg.areas.jpg [Image]:https://raw.githubusercontent.com/eduardofv/whale_detector/master/w_7489.jpg.extract.jpg",15,gold,14,Wed Nov 18 2015 21:25:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17473,/competitions/noaa-right-whale-recognition,57th
/loki47,the lowest form of wit,Runs to completion on my machine. Output hist below. [Link]:http://3.bp.blogspot.com/-6K8OJdFejus/Vk06pnk96PI/AAAAAAAAB7k/iMFL-G8K3cI/s1600/sarcasm_prob_distribution.png,0,None,2,Thu Nov 19 2015 03:59:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17477,None,None
/del=c847b078443444b2,Are there any algorithms to find influential persons in an organization?,"Let me define who is an influencer. An influencer is someone who assigns work/task to others and most of them respond to him/her. It could be an e-mail, a small task, a post on social media, work or anything. An influencer has a lot of impact on the the way an organization work. For ex: CEO is a very influential person. If CEO assigns a task/work to a person, he is more likely to do since it came from CEO",0,None,1,Thu Nov 19 2015 05:02:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17478,None,None
/sleepyhead,"Error uploading - help please thanks ""Could not parse '#VALUE!'..""",When uploading my file I get the following error: Could not parse '#VALUE!' into expected type of Double Please advise Thank you,0,None,6,Thu Nov 19 2015 09:16:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17479,/competitions/rossmann-store-sales,1271st
/raju2404,Data dictionary?,"Could u pls help me to locate data dictionary? I am not able to decipher what these columns Field6,Field7,Coverage field1A etc… mean",0,None,3,Thu Nov 19 2015 09:21:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17480,/competitions/homesite-quote-conversion,None
/mjahrer,codes from a 2D autoencoder,"since some of my models are based on autoencoder features I tried to map the data to 2D space with an autoencoder. Basically, I used the same feature set as in all of my supervised models in my ensemble (my current lb score). But here only the feature (not targets), because autoencoder is an unsupervised algorithm. It reconstructs itself. The setup is 5479-10000-10000-10000-2-10000-10000-10000-5479 where the 2 neurons acts as compression layer. Training is GPU based minibatch SGD with input noise and random initialization of all layers. Data is all rows from train+test. Then I overlay the 38 target classes in different colors. To check usefulness of the representation, a nn on this data achieves about 1.8 logloss, xgb goes to 1.7 logloss, knn is also in 1.8 range. The result is far away from perfect since only 2 vars are used to code the data, but some of the classes are separated in 2D. I also appended the datapoints [train,test] in original order. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99099/3274/DAE-3x10k-2D.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99099/3275/data2D.csv.7z",15,gold,20,Thu Nov 19 2015 12:40:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17482,/competitions/walmart-recruiting-trip-type-classification,25th
/ashishlakhani,question to leaders,Folks leading on leaderboard. What kind of accuracy do you have on your validation data set? I have accuracy of 65% clearly which is not got at all. also i see logloss of 1.06 on my test set but see something different on production,1,bronze,4,Thu Nov 19 2015 17:15:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17484,/competitions/walmart-recruiting-trip-type-classification,330th
/scorpion,Seeking a team partner to move up,RT,1,bronze,1,Thu Nov 19 2015 20:37:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17486,/competitions/how-much-did-it-rain-ii,46th
/wahesh,First Place!!!!,Looks like I'm killing it. You all need to step up your game.,1,None,10,Fri Nov 20 2015 02:05:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17488,/competitions/basque-sentiment,3rd
/nkgomm,Freshman need help about the sklearn package,"When i import sklearn module after pip install scikit-learn, an importError occurs like below: (by the way,I have already installed scipy and numpy successfully.) *>>> import sklearn Traceback (most recent call last): File """", line 1, in File ""C:\Python27\lib\site-packages\sklearn__init__.py"", line 57, in from .base import clone copy File ""C:\Python27\lib\site-packages\sklearn\base.py"", line 11, in from .utils.fixes import signature copy File ""C:\Python27\lib\site-packages\sklearn\utils__init__.py"", line 11, in from .validation import (as_float_array, copy File ""C:\Python27\lib\site-packages\sklearn\utils\validation.py"", line 16, in from ..utils.fixes import signature copy File ""C:\Python27\lib\site-packages\sklearn\utils\fixes.py"", line 324, in from scipy.sparse.linalg import lsqr as sparse_lsqr copy File ""C:\Python27\lib\site-packages\scipy\sparse\linalg__init__.py"", line 109, in from .isolve import * copy File ""C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve__init__.py"", line 6, in from .iterative import * copy File ""C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve\iterative.py"", line 7, in from . import _iterative copy ImportError: DLL load failed: The specified module could not be found. *",0,None,1,Fri Nov 20 2015 02:36:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17489,/competitions/data-science-london-scikit-learn,None
/nkgomm,Freshman need help about the sklearn package with Python,"When i import sklearn module after pip install scikit-learn, an importError occurs like below: (by the way,I have already installed scipy and numpy successfully.) *>>> import sklearn Traceback (most recent call last): File """", line 1, in File ""C:\Python27\lib\site-packages\sklearn__init__.py"", line 57, in from .base import clone copy File ""C:\Python27\lib\site-packages\sklearn\base.py"", line 11, in from .utils.fixes import signature copy File ""C:\Python27\lib\site-packages\sklearn\utils__init__.py"", line 11, in from .validation import (as_float_array, copy File ""C:\Python27\lib\site-packages\sklearn\utils\validation.py"", line 16, in from ..utils.fixes import signature copy File ""C:\Python27\lib\site-packages\sklearn\utils\fixes.py"", line 324, in from scipy.sparse.linalg import lsqr as sparse_lsqr copy File ""C:\Python27\lib\site-packages\scipy\sparse\linalg__init__.py"", line 109, in from .isolve import * copy File ""C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve__init__.py"", line 6, in from .iterative import * copy File ""C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve\iterative.py"", line 7, in from . import _iterative copy ImportError: DLL load failed: The specified module could not be found. *",0,None,4,Fri Nov 20 2015 02:43:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17490,None,None
/n3n77i,Kaggle's christmas challenges,"Hi all I was just curious to see if there will be a christmas themed challenge this year.. They have been quite a lot of fun in the past, so it would be nice to see this little tradition continue -- luke",0,None,2,Fri Nov 20 2015 06:21:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17491,None,None
/neveditarai,XGB R Starter Script with Early Stopping,"Hi, Thanks for sharing the code, very helpful. I tried running the similar code, getting following error pred1 <- predict(clf, data.matrix(test[,feature.names])) Error in xgb.DMatrix(newdata) : There are NAN in the matrix, however, you did not set missing=NAN Could you please tell me how to resolve this problem. Thanks in advance.",0,None,7,Fri Nov 20 2015 09:12:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17492,None,None
/matt605,Feature identification after end of competition?,Will the features be identified after the competition is complete?,0,None,6,Fri Nov 20 2015 14:08:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17493,/competitions/the-winton-stock-market-challenge,404th
/ianmkos,Importing large data files,"Hello, Newb question here. I'm using R Studio and when I went to upload the train.csv file it quickly became apparent that it is a very large file as it took a long time to load. Can anyone throw some tips my way and/or point me to some resources for how to handle large datafiles like this in R Studio. Thanks,",0,None,7,Fri Nov 20 2015 16:32:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17494,/competitions/the-winton-stock-market-challenge,None
/lakshmanok,What else besides Marshall-Palmer?,"Based on the discussion and questions in the forum, it appears that many of you are using the Marshall-Palmer equation in the sample script as a jumping-off point, and blending in your own innovations. The Marshall-Palmer is a single-pol rainrate equation (note that it uses only reflectivity, and not Zdr or Kdp). A variety of radar-rainrate equations have been proposed in the literature for dual-pol variables. This page lists some of the most popular: [Link]:https://www.eol.ucar.edu/projects/dynamo/spol/parameters/rain_rate/rain_rates.html Lak",8,silver,8,Fri Nov 20 2015 20:33:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17496,/competitions/how-much-did-it-rain-ii,None
/dmi3kno,"Time Series model for ""rare"" events","I am struggling to understand how I can take into account the events that happen only once in the ""lifetime"" of the store, such as Competitive Introduction (CompetitionOpenSince…) or Reburbishing Period (with corresponding bump in sales before/after) in cases where the model ""has not observed"" the event in the training set. I am now referring to store #1020, and to lesser extent (#688, #1072) which will get their first competitor in August or store # 622 and #879 which will be closed for refurbishment in September. I wonder if I could ""plant"" those events into the store history at some earlier point in time and ""learn"" from it to properly extrapolate into the future. Alternative could be of course to not bother with blending time-series and use ensembling with some iid tools (rf, xgb) and hope that they would be able to ""pick it up"". What i see from the scripts and what I hear on forums, nobody seems to talking about clustering, but this, I feel, is one of those things that requires careful sampling, if you want to get desired results. So perhaps general time-series model ensembled with clustered xgb would do the trick. Any thoughts? UPD: Would [Link]:http://robjhyndman.com/hyndsight/hts-with-regressors/ of a cluser be a possible solution?",2,bronze,1,Sat Nov 21 2015 00:14:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17498,/competitions/rossmann-store-sales,242nd
/whitetigersfu,Silence xgboost,"Hi, sorry if this is a noob question but I can't silence xgboost in python… I've tried 'silent':1, 'silent':0, 'silent':True, and 'silent':'1' and it still keeps posting stuff like: [325] train-rmse:0.276695 eval-rmse:0.311454 [326] train-rmse:0.274797 eval-rmse:0.309698 [327] train-rmse:0.272919 eval-rmse:0.307282 etc… I want to turn off the output of the evaluation and training data",4,None,13,Sat Nov 21 2015 02:51:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17499,/competitions/rossmann-store-sales,123rd
/alexbeloi,Marshall-Palmer (5/8) term suboptimal,"To a non-meteorologist, the 5/8 term in the [Link]:https://en.wikipedia.org/wiki/DBZ_(meteorology) seems peculiar as a parameter for a natural phenomenon. mmhr=(10(dbz/10)200)58 I replaced this with a parameter alpha mmhr=(10(dbz/10)200)α and computed a graph of MAE vs alpha and found that MAE was minimal for alpha approximately 0.53. [Link]:http://imgur.com/p9bA5VG.png Cursory research says (I think) this is derived form the ""z-R"" relationship which may vary from region to region, or even hour to hour(?). The difference in error isn't huge but does give a submission score of 23.95563, better than the sample solution but not tremendously. Still seems to suggest that alpha close to 0.53 would be more optimal than 0.625=5/8. Not likely to be a very fruitful approach, but I thought it was interesting, might help the folks working on employing modified Marshall-Palmer techniques.",11,silver,1,Sat Nov 21 2015 09:01:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17500,/competitions/how-much-did-it-rain-ii,368th
/nickyua,Cant check my solution,"I always get "" Column 'Id,""Sales""' was not expected (Line 1, Column 1) Required column 'Id' could not be found Required column 'Sales' could not be found "" But I checked all, there are column Id and ""Sales"". Why is wrong?",0,None,1,Sat Nov 21 2015 09:31:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17501,/competitions/rossmann-store-sales,2316th
/muhammedkhan1,Anyone still have this dataset?,"My semester before summer ended in June and I had been working on the Avazu CTR dataset throughout my semester. I would have loved Drawbridges datsaet, they opened adn closed the contest so quickly out of the typical academic schoolyear and missed it. Would anyone have a copy of the data by any chance for a Masters student. I emailed the email provided on the dataset and called their telephone, leaving a message, but did not get a reponse",1,None,19,Sat Nov 21 2015 11:34:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17503,/competitions/icdm-2015-drawbridge-cross-device-connections,None
/opprobre,Regression with discrete variables...,"Hi everyone, I need to do a regression which is supposed to explain the price of a product with different variables. However, these variables are not all continuous. Some of them represent clusters/classifications, for example the name of who gave the price. The issue is that I know that some of these variables have a significant influence on the price when others are not relevant at all for my regression. So does anyone know how I can select the relevant clusters/discrete variables and eliminate the others for my regression ? My idea was to do a linear regression on every cluster (with only the continuous variables but different coefficients on each cluster) and to find a criteria penalizing the number of clusters (and so on with a backward method). However, I'm not sure il will efficiently work and I don't know any criteria like that. Help? Opp'",1,None,6,Sat Nov 21 2015 11:55:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17504,None,None
/javed24,Problem while processing the huge data,"Firstly, we are fairly new to Machine Learning and this may seem a silly question. Our problem is mainly in processing the data. What we've done so far is we have divided the data set in smaller chunks and applied Gradient Descent on them. But we're not sure how to apply this on the entire data. We tried waiting for hours but it didn't work. Any help with processing the entire data at once will be highly appreciated.",0,None,2,Sat Nov 21 2015 12:07:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17506,/competitions/how-much-did-it-rain-ii,None
/hs3180,Some questions about the data,Returns are given in geometric form or arithmetic form? Or should I chain the returns by (1+R1) * (1+R2) * (1+R3) … or R1 + R2 + R3 … Were the 40000 records sampled in the same period of time? So the 40000 records represent 40000 different stocks? Is the testset sharing ids with trainset? id 1 stock both in trainset and testset is represented the same stock?,2,bronze,R1 + R2 + R3 …,Sat Nov 21 2015 16:56:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17507,/competitions/the-winton-stock-market-challenge,None
/nakapoor,State Holiday need cleanup,"State Holiday contains ""a"", ""b"", ""c"" which is not a valid value so we need to sanitize this attribute. I am following the below approach. School | Shop | State Holiday[Existing ] | State Holiday [New] Open | Open | a/b/c | 0 Open | Close | a/b/c | 0 Close | Open | a/b/c | 0 Close | Close | a/b/c | 1",0,None,3,Sat Nov 21 2015 19:55:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17509,/competitions/rossmann-store-sales,1607th
/sachinvernekar,Decreasing popularity of SVM,I see that most of the kaggle competitions these days are either won by Gradient boosting models or Neural nets. SVMs are almost unheard of. Can someone throw some light on why it is happening? On what kind of data (if any) can SVMs perform better over other models?,0,None,3,Sat Nov 21 2015 20:12:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17510,None,None
/piero111,Same time ,How I have to process the rows with same date This is 2 strings from test data file: 11 10.05.2015 23:00 Sunday MISSION 600 Block of FLORIDA ST -122.4110938 37.76104757 12 10.05.2015 23:00 Sunday MISSION 600 Block of FLORIDA ST -122.4110938 37.76104757 let the right answers is: 11 ->ASSAULT 12 -> BURGLARY is it problem if in my submission whould be: 11 ->BURGLARY 12 -> ASSAULT,0,None,1,Sat Nov 21 2015 21:46:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17511,/competitions/sf-crime,40th
/yukatherin,Featurization computation time,"I am a bit new to Kaggle and I was wondering how long featurization should normally take. I am using pandas and multiprocessing with 8 threads and to subset each visit and featurize for each VisitNumber takes about 20 hours for train and test. Is this normal? If I do a standard groupby the memory used explodes, and I run out of memory. Any advice is appreciated. Thanks",0,None,9,Sat Nov 21 2015 22:20:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17512,/competitions/walmart-recruiting-trip-type-classification,461st
/weatherwoman,Is this a fools errand?,"I noticed from the training data how the observed ""Expected"" precipitation values are extremely noisy compared to the radar data. Radar data are known to have a factor of 2 error, roughly, in estimating rainfall. But the rainfall data in the training set has a median of 1 mm, a mean of 108 mm, a max of 33,000. Obviously there is a lot of errors in the rainfall measurement data here. We don't know what the rainfall measurements in the test data set are. But assuming that the Expected values in the test set are just as bad, then the radar data really does not tell you anything about the Expected values, as long as the score metric is mean absolute error. To test this, I created a submission with the Expected rainfall set to a fixed 23 mm for each of the 717,625 rows. Meaning that I did not use any radar data at all. The score on this entry was 24.03308, placing at 352 on the scoreboard out of 515 entries. The best score is just 0.3 mm lower, at 23.687 mm. So this shows you can get a reasonable entry with absolutely no data at all. And the number one leader is not doing much better. The mean error is about an inch of rain, which is a really large amount of rainfall -- so large that radar estimation of the precipitation is next to useless, if one is going to assume the rain gauge data is ""ground truth"". Then I made another entry, with the rainfall fixed at 0 mm for all rows. In other words, I assumed it never rained at all. What is the score? 24.68922, which places about 448th out of 515 entries. So here is a hint to anyone stuck near the bottom of the competition: adopt a null hypothesis, save some computer time, and just experiment with fixed rainfall values to get a better score. So isn't this competition a fools errand?",4,bronze,4,Sun Nov 22 2015 06:56:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17513,/competitions/how-much-did-it-rain-ii,443rd
/alexandrudaia,LB shaken?,"Hi all, How do you think the LB will be shaken at the end?",0,None,6,Sun Nov 22 2015 09:25:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17514,/competitions/rossmann-store-sales,96th
/yassinealouini,Digit Recognizer in R,Great post. Thanks for sharing!,1,bronze,26,Sun Nov 22 2015 10:48:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17515,None,None
/sh1ngg,[XGBoost] Decrease of eta doesn't impove CV score. Why???,"Hi kagglers! I've never seen that behavior before, so might be someone can explain it. Context: XGB model with early stop. In all competitions I've participated decrease of eta parameter results in improvements of CV score(with enabled early stop it automatically increases number of threes). I'm using early_stopping_rounds like a few hundreds so it's not a fluctuation.",0,None,4,Sun Nov 22 2015 13:40:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17516,/competitions/rossmann-store-sales,5th
/alvations,How is it possible to achieve higher than 1.0 RMSPE?,"On the leader board, I've seen submissions with RMSPE > 1.0 . Out of curiosity, how it is possible to achieve > 1.0 RMSPE?",0,None,1,Sun Nov 22 2015 16:59:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17517,/competitions/rossmann-store-sales,424th
/mmercier,Rounding,"Maybe this is a silly question, but I wondered about the effect of rounding. I assume the units we're selling are whole units, and thus our answer should be submitted in whole numbers rounded up. Is this correct?",0,None,1,Sun Nov 22 2015 17:31:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17518,/competitions/ud-mba-forecasting-competition,36th
/andr3w321,Help solving NFL simple rating system of equations,I am trying to recreate pro-football-references Simple Ranking System [Link]:http://www.pro-football-reference.com/blog/?p=37# by solving a system of equations only trouble is I am getting giberish instead of the correct answer. See my work here: [Link]:https://gist.github.com/andr3w321/c18f2c8b00dbd76484b4,0,None,1,Sun Nov 22 2015 20:25:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17519,None,None
/beatlesjuce,two times the same minute,"I have noticed there are 1550 or so Ids with two different measures at the same minute. This happen in the training and test set. I know there hasn't been any QC on the data but I can't imagine a radar related process leading to this kind of errors in the data. On the competition data page we can read ""Time and location information have been censored, and the data have been shuffled so that they are not ordered by time or place"" leading to my question to the competition admin: could those duplicates be an unwanted result of this blinding process? Thank you!",1,bronze,2,Sun Nov 22 2015 23:43:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17521,/competitions/how-much-did-it-rain-ii,348th
/cookie88,R XGBoost Sparse.Model.Matrix Error...,"Hi, I am trying to model with XGBoost in R. However, I faced the following error when trying to create a sparse matrix for ALL ingredients… sparse.model.matrix Error: fnames == names(mf) are not all true It worked when I reduced the sparsity of the dtm to 0.999, so I guess some fields are causing this error. Just that I cannot identify the offending field/record. Googling didn't return much results. Appreciate any advise to overcome this error… Btw: What are fnames and names(mf), anyway??",1,None,5,Mon Nov 23 2015 01:20:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17522,/competitions/whats-cooking,750th
/iglovikov,"H2ORF cleaned, cut 69 pur vars 3 n 3",Is line submission$Expected <- round(submission$Expected / 0.254) * 0.254 copy really necessary?,0,None,2,Mon Nov 23 2015 01:21:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17523,None,None
/del=d87afcedfc3c432d,[Deleted Kernel],,0,None,2,Mon Nov 23 2015 10:29:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17525,None,None
/pruadmin,Welcome,"Welcome to the Prudential Life Insurance Assessment Challenge! We’re Chari and Rowen, two data scientists working within the Data Science group at Prudential. We’ve helped design this Kaggle problem and are really looking forward to seeing the solutions and approaches that arise over the coming months. We will be available throughout the competition to help answer any questions, whether they are in direct relation to the competition or more generally related to working as a Data Scientist at Prudential. We hope that the problem is interesting and gives good insight into how we use scientific techniques to solve problems. Good luck!",6,silver,17,Mon Nov 23 2015 16:02:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17526,/competitions/prudential-life-insurance-assessment,None
/sterby,Beyond GradientBoosting?,"I did some tries with gradient boosting and achieved acceptable scores. But now i want to go further! I looked in the forum and it seems everyone is using gradient boosting approaches… Has someone tried something else? I'm thinking about using ANNs or similar. I'm looking forward to here your recommendations. Regards, Sterby",2,bronze,4,Mon Nov 23 2015 16:32:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17527,/competitions/homesite-quote-conversion,81st
/alexandrudaia,Team up,"Hi all, I am interested to team up with somewone for this competition.If you are interested send me a message via the platform contact form or at alexandru130586@yandex.com.",0,None,2,Mon Nov 23 2015 16:43:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17529,/competitions/prudential-life-insurance-assessment,1300th
/abhishek,'Medical_History_24',Very imp variable,5,bronze,1,Mon Nov 23 2015 17:32:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17530,/competitions/prudential-life-insurance-assessment,968th
/benhamner,XGBoost Example (0.61249),I threw together a quick example in R of applying our favorite gradient boosting library (XGBoost) to this competition.,2,bronze,12,Mon Nov 23 2015 18:19:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17531,None,None
/davidl6,Rain Rate estimation from KDP Cut f,"I tried out one of the rain rate estimation formulas Lakshmanan V mentioned in this thread: [Link]:https://www.kaggle.com/c/how-much-did-it-rain-ii/forums/t/17496/what-else-besides-marshall-palmer I have used up my submissions for the day, so I cant yet tell how it compares to the Marshall Palmer estimate. Maybe this will be useful as a transformed variable in an ensemble. I was not able to find a lot of value in the Kdp variable as is.",0,None,5,Mon Nov 23 2015 18:45:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17532,None,None
/abhilashawasthi,XGBoost Example (0.62656 LB Score),My 5 submissions over in 5 minutes!! Now other Kagglers improve the result! P.S. I take no guarantee of the reproducibility of the results. Haha!,1,bronze,13,Mon Nov 23 2015 18:54:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17533,None,None
/darwin,Effect of LabelEncoder and OneHotEncoder on score,"Hi, I started with the Xgboost_benchmark script from Mike Pearmain, which was using scikit-learn's LabelEncoders to transform categorical variables into numerical values. Then, I changed to One Hot Encoder, since the LabelEncoder implies an ordering of the categorical variables. However, when I rerun the script I obtained the exactly same score, which seems somehow weird. I would have expected that the score changes for the better or the worse, but not that it remained the same… I'm not so familiar with xgboost, can it be that xgboost handles both cases equivalently? I'm thankful for any explanation or insight! Thx!",3,bronze,4,Mon Nov 23 2015 21:03:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17534,/competitions/homesite-quote-conversion,541st
/aniket0123,Password for test.csv.zip,"Hi , Can anybody help in finding where can I get password for test file ? Thanks",0,None,3,Mon Nov 23 2015 22:20:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17536,/competitions/walmart-recruiting-trip-type-classification,None
/wangruobing888,How to ensemble?,I am new to kaggle and find people often talk about ensemble different model here. How to do the ensemble? Is it ensemble the results (submission files) of different single models?Is there any tutorial of how to ensemble different model for beginners? Many thanks,1,None,4,Mon Nov 23 2015 22:28:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17537,/competitions/walmart-recruiting-trip-type-classification,190th
/anwjones,Feature Engineering,"Most of this post comes from a question about using Census Data, but I considered it needed reposting under a more general heading You should not use other Census data (with the exception of the standard mortality table Australian Life 2010-2012) To use Census data you would need to figure out which row of the training and test data corresponded to the row of the new data (effectively identifying each row) and join it to the new data. In a real world exercise this approach would not work with new unseen data. Some examples of features that could be engineered (which would not be cheating): Use latitude/longitude to calculate distances to known things (cities, hospitals, …) Population density may be a measure of remoteness. Experiment with other ways of recognising mining (or other types of) towns (male ratio, proportion of children, proportion of postgrads)",0,None,5,Mon Nov 23 2015 22:46:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17538,/competitions/ai-2015,None
/bascom,Rossmann Spectral Analysis,[Link]:http://4.bp.blogspot.com/-68WQINAy4Us/Vk6AwVfswoI/AAAAAAAAAdg/8DqGvVb94hc/s1600/Alturas%2BIII%2B-%2B11-11-2015%2B-%2BKaggle%2B2%2B-%2BStorewise%2BSales%2BForecasts%2BHistogram.png,0,None,2,Tue Nov 24 2015 00:34:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17539,None,None
/carterdonaldson123,Class Project,"Hello I'm in a class project for the Rossman data, just need a the simple formulas to get me started off the ground let me know, any help would be appreciated thank you guys!",0,None,2,Tue Nov 24 2015 01:58:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17540,None,None
/theoldfather,Submitting over non-HTTP?,"Are there any other options for submitting the csv? Even after gzipping, verizon's upstream is so slow that my uploads often timeout :(",0,None,3,Tue Nov 24 2015 06:39:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17543,/competitions/the-winton-stock-market-challenge,None
/mrbeer,kappa gradient and hessian calculation,"Hi, Is there a way a simple formula to calculate the gradient and hessian of the kappa function in order to use it in the fitting mertic? For now I'm using xgboost's softmax which isn't ideal.",0,None,8,Tue Nov 24 2015 10:30:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17546,/competitions/prudential-life-insurance-assessment,154th
/antklen,Strange design of the competition,"Just some thoughts. Design of this competition looks very strange for me. It looks strange that we are asked to predict 60 distinct one-minute returns because 1) One-minute returns are very noisy and very hard to predict. I can't imagine how it could be possible to make good prediction for example for Ret_180 from Ret2-Ret120. May be it is possible for Ret_121, Ret_122 - for closest to the train set points. 2) Even if you have very accurate prediction for minute data, minute returns are very small and it would be extremely hard to make any profit due to commissions and slippage.",0,None,2,Tue Nov 24 2015 11:28:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17547,/competitions/the-winton-stock-market-challenge,None
/tushartilwankar,more I create new features results poor lb ,"I am not sure I am the only one facing this issue :( , more I create new features like listed the worst I am getting the LB score. Mean of sales by store, dayofweek, stateholidy, promoopen. Sales per customer Does store have competitor. Count of customer by store, dayofweek, stateholidy, promoopen. Like most you I am also using XGBoost and random forest. Any pointers would be really appreciated.",5,bronze,10,Tue Nov 24 2015 15:59:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17550,/competitions/rossmann-store-sales,414th
/axboland,Missing polyline data,"Hello, We noticed that some of the objects we consider have a completely empty POLYLINE attribute. However, their MISSING DATA attribute is equal to ""FALSE"" (line 762 for instance). Is it normal ? Does it represent a case where the trip has been cancelled or something else ? Thanks for the answer(s), Axel Boland",0,None,1,Tue Nov 24 2015 17:02:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17551,/competitions/ail-taxichallenge,5th
/yasirkhan,Cant find variable Train_flag,Is it true that the variable Train_flag (identified as categorical in the data description) is not present in the data set provided or am I missing something here ?,1,bronze,1,Tue Nov 24 2015 17:45:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17552,/competitions/prudential-life-insurance-assessment,2125th
/kelexu,Anyone teamup?,,1,None,1,Tue Nov 24 2015 18:20:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17553,/competitions/rossmann-store-sales,145th
/anlthms,Try this,"I shared my method in a meetup last week. In order to keep the playing field level (and to comply with the rules!), the [Link]:https://github.com/anlthms/whale-2015/blob/master/object-recognition.pdf has been made available. Will post more information next week.",21,gold,92,Tue Nov 24 2015 21:35:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17555,/competitions/noaa-right-whale-recognition,9th
/eeyore02138,"Change ""allowed email domain""","Hi: Can I change ""allowed email domain"" for a competition I am hosting? Can't figure out how. Thanks",0,None,1,Wed Nov 25 2015 01:01:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17556,None,None
/mniininen,Any interest in Morse Learning Machine - v3 contest?,"I have done some experimentation on deep learning algorithms, most recently with Keras framework using LSTM Recurrent Neural Networks. See latest expirement: [Link]:http://ag1le.blogspot.com/2015/11/experiment-deep-learning-algorithm-for.html I am wondering if there is any interest from Kaggle community for a new MLM v3 challenge? I would be willing to create a lot of training / validation material if there are interested participants to brush up their skills in training RNNs. br Mauri",0,None,9,Wed Nov 25 2015 06:08:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17557,/competitions/morse-learning-machine-challenge-v2,None
/amandeepgautam,Clustering stores to get better predictors,"Has anyone explored the idea of clustering the stores and training a model for each cluster rather than the complete data. I was hoping to gain something based on the hypothesis that some stores would be more similar than others. An example to that would be stores that do not have any competition vs those that have competition. I implemented gap statistics to identify the number of clusters in the stores data. Few observations: Cluster structure is not consistent. For example using KMeans and Spectral Clustering gives different number of clusters using gap statistics. Also the graph for gap statistics variation with number of clusters are not very ideal. The cluster structure also changes with the set of features used for clustering. This is quite obvious. After I did the clustering on stores, I used XGBoost to train a model and predict. Result: I did not get expected gain in the score on the LB. Any comments on the approach or any other analysis welcome. P.S.: I am attaching the file for clustering. Its not formatted to look best but it works. Just running should give you three graphs on a set of predefined columns used for clustering stores data. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99464/3294/clustering.py",3,bronze,3,Wed Nov 25 2015 07:08:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17559,/competitions/rossmann-store-sales,1701st
/hduong,Get a dataset of comment and parents,"Hi guys, I'm trying to play around with this dataset, but I'm completely new to sql. I can load the data based on the sample script, but was wondering if anyone know of a way to load a dataset of comment and its parent quickly. Basically, I just need two columns, the left is the child and the right is the parent. If I load the whole dataset into a pandas dataframe, and search for parent_id from each of the id, then it seems to be quite inefficient. Thanks a lot.",0,None,1,Wed Nov 25 2015 09:12:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17560,None,None
/rohanrao,10 Competitions!,"With the two new recruiting competitions announced today, it sums to 10 active competitions (apart from the Masters, Public and Knowledge ones). And all of them extremely interesting. Whats up with Kaggle? Do they want us to get fired from our day jobs? :-D Argh, we're spoilt for choice!",15,gold,5,Wed Nov 25 2015 11:21:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17561,None,None
/jamesdlawrence,sessions data,"Just an observation: the session data seems to have much greater coverage for the test data than for the train data. Is there a reason for that? (by my count, 140,000 rows of the train data have no corresponding entry in sessions.csv. The same is only true of 265 rows in the test data.) Thanks in advance!",0,None,15,Wed Nov 25 2015 12:01:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17562,/competitions/airbnb-recruiting-new-user-bookings,628th
/jankukacka,Question about the data,"Hi, I am currently looking at the given dataset and something is unclear to me: We have pe-info/vt-info about 3303 malware samples. We have training labels for 2056 md5s, out of which 429 are not present in the pe/vt infos. Also we have 2053 testing md5s out of which 377 are not present in the pe/vt infos. Are we supposed to classify those only based on their md5 hash? Or is there some problem with the dataset given?",0,None,1,Wed Nov 25 2015 13:00:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17563,/competitions/anomaly-detection-challenges-2015-challenge-3,3rd
/monikabhajipale,Disclose Anomologyics of Dataset,"Competition is closed before two year ago. I am using this data set, for understanding and learning. If anyone disclose the names of F1-F778, so it is easy to understand me. Please help me. Thanks in advanced",4,None,2,Wed Nov 25 2015 13:36:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17564,/competitions/loan-default-prediction,None
/kaggler446538,Welcome and Good Luck!,Welcome to the Airbnb Data Science Challenge. We are very excited to be partnering with Kaggle to share this dataset and problem. Helping new users on the website find their dream listing is an important driver for the company and something the Data Science team constantly experiments with to perfect. We hope this challenge will give you a glimpse into the work we do. And please reach out with any questions you have!,10,silver,13,Wed Nov 25 2015 18:50:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17568,/competitions/airbnb-recruiting-new-user-bookings,None
/bajiuk,Неверный SubmissionSample,"Id объектов которые надо предсказать, не совпадают с SubmissionSample. Например (Submisson sample) ID | PREDICTED 16707 | 100000 (Train) (Четвертое число есть!?) 16707 | 07.08.2010 | 12 | 83008 | 16 | 0 | 0 Наверное что-то перепутали с данными, пофиксите пожалуйста!",0,None,4,Wed Nov 25 2015 19:13:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17569,/competitions/mipt-ml-autumn2015-hw3,30th
/mm13354,Report for SAFE submission,"Hello! I have been looking for details about the report for the coursework submission, but failing to find anything. I have a rough recollection it should be around 15 pages… I was advised to post here, so can we have some more info about what should feature in the report and how long it should be? (Or in case this is already available, can I please have a link?) Thanks a lot! Maria",0,None,3,Wed Nov 25 2015 20:09:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17570,/competitions/morebikes,12th
/spiglerg,Training vs Validation dataset,"Dear organizers, I understand that the main purpose of the Training set is to give us a dataset we can test our systems on locally while developing our final model, such that the type of questions and the format will be similar to the Validation set. However I was wondering whether the questions in each set are actually related? That is, would a human learning the answers and concepts of the Training questions be able to answer a significant number of questions in the validation set [without requiring any external knowledge]? Thanks in advance!",0,None,2,Thu Nov 26 2015 00:49:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17571,/competitions/the-allen-ai-science-challenge,116th
/jalchemist,Problem with TensorFlow and Lasagne,"My script written in TensorFlow performed significantly worse than Lasagne. I write my script in TensorFlow, mimicking Nouri's first attempt in his tutorial (simple 1-hidden-layer MLP). While his MSE is less than 3 pixels, mine is over 6. Since we have similar configuration (batch size, # of epochs, # of hidden units), I really can't figure out what's wrong with my implementation. Does anyone tried TensorFlow on this data set? Any thoughts are welcomed. My script and Nouri's: [Link]:https://github.com/JeremyCCHsu/Kaggle_Facial_Keypoint Nouri's tutorial: [Link]:http://danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/",1,None,4,Thu Nov 26 2015 04:50:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17573,/competitions/facial-keypoints-detection,None
/theringe,what are the summary statistics files stand for?,"I don't completely get what they mean in each columns take countries.csv for example, I know the lat & lng from center of US are 36.966427 and -95.84403, but I don't know: what ""distance_km"" mean, does it mean the average of distances from all users' country (USA, described from dataset page) in train & test sets to the destination? does ""destination_km2"" stand for area? does ""language_levenshtein_distance"" stand for the average of levenshtein distances from all users' language column (e.g., en, es) in train & test sets to the destination_language column (e.g., eng, fra)? if so, it is weird to get a 0 value. Then age_gender_bkts.csv, take the first record for instance: 100+,AU,male,1.0,2015.0 does it means there are nearly 1000 users in training/testing sets fulfill 100+ ages male and lived in AU in 2015?",2,bronze,8,Thu Nov 26 2015 04:56:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17574,/competitions/airbnb-recruiting-new-user-bookings,1396th
/ys19931006,General questiones of hot fixing dummy variables,"Generally, I always convert the categorical variables into binary form. For example, for {a='big',b='small',c='median'}, I can write it as {a=[1 0 0],b=[0 1 0],c=[0 0 1]}. The question is should that be the same, if I eliminate the last column ? (i.e.{a=[1 0],b=[0 1],c=[0 0]}) By this way, I use one less column without lose any information. Here is another question, what if there are hundreds or thousands of levels for a dummy variable. It seems to be unpractical to expend it into binary. How could we handle this? I have some ideas: 1. replace them with group mean/median/probability of the target variable. cons: interaction and inter median information may be lost after this process. 2. run a clustering algorithm towards this variable first cons: a lot of extra works, especially when there is a lot this kind of variables. Could perform badly when the clustering model is insufficient. Is there any better way to handle this situation? Let's discuss this. :}",0,None,2,Thu Nov 26 2015 09:41:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17577,None,None
/mm13354,Phase 1 question,"Hi again! My partner and I have been puzzled by semantics a bit, so we thought it would be worth asking for clarity. We have a script that performs preprocessing, feature selection and a model creation on a single training data file (one of stations 201-275). This would result in different models for each station, however, the process of getting each model is the same. Does this count under 'different model for each station' or under 'one model for all stations'? Our understanding makes us think it's the former - creating 75 models manually would be quite tedious - but we thought it would be best to make sure! Thanks a lot! Maria",0,None,1,Thu Nov 26 2015 13:30:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17578,/competitions/morebikes,12th
/mooune,MATLAB (Jump)Starter Codes for latecomers,"Sorry for posting this late, For all the latecomers (an all other kagglers of course) whom intend or are using MATLAB for the challenge, here are some starter codes that were presented (more than a month ago) at the Paris Kaggle meetup group. If you have questions about the codes please feel free to use this thread. Cheers, Amine [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99562/3299/MeetUp_KaggleParis_starter_codes-01-10-2015.zip",4,bronze,18,Thu Nov 26 2015 15:01:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17579,/competitions/noaa-right-whale-recognition,None
/frankdilopolimi,svds in Matlab,"I have a question about using the [Link]:http://it.mathworks.com/help/matlab/ref/svds.html function in Matlab, which has the following signature: svds(A,k). Let's say I want to decompose the URM using the svds() and to consider only f=30 features in my factorization, then which value should I use for k? Will any value greater than f yield the same result?",0,None,1,Thu Nov 26 2015 15:19:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17580,/competitions/recommender-system-2015-challenge-polimi,19th
/theringe,simple prifiling,"training set: there are 171239 unique ids from 1, there are 31202 ids appear in sessions from 2, all 31202 ids registered after 2014-01-01 testing set: there are 43673 unique ids from 1, there are 43408 ids appear in sessions",1,bronze,1,Thu Nov 26 2015 16:00:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17581,/competitions/airbnb-recruiting-new-user-bookings,1396th
/zonakostic,Deadlines and submissions,"Hi all, My team and I would like to take part in one of the Kaggle's competition. Since, we are competing for the first time, I would appreciate any help regarding these two general questions: First: I saw some forum posts discussing on the subject: ""Deadline for new entry and team mergers"". The competitors were failed to submit their code on time confused by this deadline. What exactly this deadline means? Does it mean the team creation (we created the team for specific competition we're interested in) or we need to submit something else (first code, draft…) ? Second: Is it possible to re-submit the code improvements before the due date or we are submitting only one (final) version? Is there any post I should pay attention to regarding code submissions? Thanks! Best, Zona",1,None,1,Thu Nov 26 2015 16:05:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17582,None,None
/pbsciencelab,Benchmark score: 0.78640  vs 0.79108,"I am using the nDCG metric code from: [Link]:https://gist.github.com/mblondel/7337391 I can't really share my code since it is a complete framework. So I will try to describe as much as I can. In my code I have the classes in this order: ['AU', 'CA', 'DE', 'ES', 'FR', 'GB', 'IT', 'NDF', 'NL', 'PT', 'US', 'other'] To get the same score as Kaggle Benchmark score I try this: predictedRelevance = [[0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0.5, 0] for _ in range(171239)] copy which is equal to [NDF, US], just like in the sample_submission.csv. For the targetRelevance I have a 1 at the right label, all others 0, like this for target 'AU': targetRelevance = [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],...] copy as described on the evaluation page. Then I calculate the score like this: score = np.mean([ndcg_score(tr, pr, k=5, gains=""exponential"") for tr, pr in zip(targetRelevance, predictedRelevance)]) I am sorry for not having working code. My question is why does this give me a score of 0.79108 instead of 0.78640 what Kaggle is giving me. What am I doing wrong?",1,bronze,2,Thu Nov 26 2015 17:59:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17583,/competitions/airbnb-recruiting-new-user-bookings,1360th
/carrietheone,Submission format for multiple destination country predictions,"From the Evaluation page, we may include up to 5 ordered destination country predictions, where the destination country predictions are ordered such that the most probable destination country goes first. Included is the example: [ US, FR ] What format should this take in the submission file? A space as a separator character? id,country 000am9932b,NDF 000am9932b,US",0,None,3,Thu Nov 26 2015 20:40:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17584,/competitions/airbnb-recruiting-new-user-bookings,278th
/nkgomm,a compile error:ValueError: ndarray is not Fortran contiguous,"When i try to use RandomForestClassifier to solve Titanic problem and get a score of the cross_validation, an error occurs like this: ValueError Traceback (most recent call last) in () 15 train_data[predictors], 16 train_data[""Survived""], ---> 17 cv=3 18 ) 19 print(scores.mean()) tree.pyx in sklearn.tree._tree.Tree.build (sklearn\tree_tree.c:4826)() _tree.pyx in sklearn.tree._tree.Tree.build (sklearn\tree_tree.c:4639)() _tree.pyx in sklearn.tree._tree.Tree.recursive_partition (sklearn\tree_tree.c:5859)() _tree.pyx in sklearn.tree._tree.Tree.recursive_partition (sklearn\tree_tree.c:5337)() ValueError: ndarray is not Fortran contiguous The source code is kaggle-titanic-001 by Machiel Kalkman: from sklearn.ensemble import RandomForestClassifier from sklearn import cross_validation predictors=[""Pclass"",""Sex"",""Age"",""SibSp"",""Parch"",""Fare"",""Embarked""] alg=RandomForestClassifier( random_state=1, n_estimators=150, min_samples_split=4, min_samples_leaf=2 ) scores=cross_validation.cross_val_score( alg, train_data[predictors], train_data[""Survived""], cv=3 ) print(scores.mean())",0,None,1,Fri Nov 27 2015 03:39:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17587,/competitions/titanic,None
/savarin,Deep Learning with TensorFlow on Titanic data.,"I've been looking for a tutorial that shows how TensorFlow works 'out-of-the-box', and then thought I might as well just create one. [Link]:https://github.com/savarin/pyconuk-introtutorial This is a work-in-progress. The original tutorial was designed to make Scikit-learn accessible, this recent addition would ideally do the same for TensorFlow.",7,bronze,4,Fri Nov 27 2015 08:20:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17590,/competitions/titanic,None
/lukastoma,Are the sessions ordered in some specific order?,"Hi, I was wandering whether there is any ordering in the session data as no timestamp column is available. Thanks",0,None,1,Fri Nov 27 2015 09:33:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17591,/competitions/airbnb-recruiting-new-user-bookings,90th
/fwagner,Question : xgboost and position of features,"Hi, I am using R and xgboost. After I changed some feature position in my feature list, I got an other RMPSE - Value. Can someone verify that ?!",1,bronze,13,Fri Nov 27 2015 13:35:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17592,/competitions/rossmann-store-sales,171st
/marvtb,How to handle scaling,"Hey there, I just started on the MINST Set and got stuck when it comes to correctly preprocesss my data. My research on this topic so far I come to the conclusion that one is supposed to preprocess data on the training set and save the used values (e.g. mean, scaling factor). When it comes to the test set one is supposed to perform the same transfromations, which are done on the training set by using the saved values. This makes totally sense for me However, two questions reamain open: In case I want to scale my data to the range of [0…1] with aboves method I run into a problem. Since the training set has some 0-feature vectors, where the test set hasn't, I couldn't perform the scaling on test set in the same manner as the training set? Am I right or do I miss something? I just started with Python and are mainly using scikit-learn. However, the preprocessing function offered seem to not support the workflow I described above. Methods for preprocessing like sklearn.preprocessing.normalize() seem to only alllow to process training data and test data separately or merged within on matrix. It doesn't seem to offer a possibilty to save the values and do it like described above. Are there any better options or again do I miss something? Thanks in advance for any answer!",0,None,1,Fri Nov 27 2015 13:43:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17593,/competitions/digit-recognizer,None
/alexandrudaia,Stochastic ensemble,"Hi all , I haven't found time to wrote description (will do that over the weekend).The ideea is that there is a lot to do , I need to add 3 new functionalities to training(another param to peek by random chance the learners from the list) and something in get prediction method, also some constraints regarding the nature of the feed in parameters . The ideea is there are 3 classes , first one does not implements the stochastic learning , the second and third ones do, with different implementation ( same for get predictions-will work on that). The ideea is that the stochastic ensembles is fitting at each iteration regressors from the list of regressors , and at every iteration is doing train test split(I will modify it tommorow with scikit learn prebuild functions) with different random dropout (just like the h=10000 from the very used scripts. Then either it is averaging the predictions either it is doing weighted average.Then some could retrieve mean of predictions of iterations according to the behaviour of learners seen as error for random chunks dropouts .I tryied something simmilar for this competition but could not improve(my ideea is that here other method should be used). So feel free if you wish to test my stochastic ensemble on this data set : [Link]:https://github.com/alexandrudaia/StochasticEnsembles/blob/master/StochasticEnsembleEmpiricalResult.ipynb",0,None,1,Fri Nov 27 2015 15:37:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17594,/competitions/rossmann-store-sales,96th
/randombishop,Question about date_first_booking,"Hi, The date_first_booking is often empty. Since we are predicting the first booking destination, I would expect this first booking date to be always given, at least in the training set. Are these empty date_first_booking just missing values, do they mean something in particular, or am I just misunderstanding the problem ? Cheers !",0,None,6,Fri Nov 27 2015 15:37:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17595,/competitions/airbnb-recruiting-new-user-bookings,54th
/marcoplaul,Basic Machine Learning / Feature Engineering question,"Dear Kagglers, In an other thread where i am not able to respond anymore ( [Link]:https://inclass.kaggle.com/c/deloitte-tackles-titanic/forums/t/9841/getting-high-scores-without-looking-at-actual-data-set), another fellow kaggler stated about getting higher scores: SibSp and Parch variables are also good indicators of survival. You need to notice certain things, like if Husband survived probability of his wife surviving is high. If the child survived, probability of one of his parents surviving is also high. Use it wisely instead of just adding them and creating Family variable. I understand that this is possible to determine for the training set, as i could make a binary/dummy variable that uses their family name to determine if any family member has actually survived (since we have the information about survived/perished). But what happens if i do this on the test / any unknown dataset where i have never seen a specific family before (where i do not have the information about survival). How is this handled by random forest (or any algorithm) in general and why are we even training our algorithm with feature engineered variables, that may not work on an unknown data set, as this type of information is unknown for some of the observations. As i am new to this whole machine learning topic, i hope that you guys could understand what i'm asking for and might be able to help me. Thanks in advance, a fellow Kaggler and enthusiastic learner.",0,None,1,Fri Nov 27 2015 17:08:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17596,/competitions/titanic,None
/willdick,Arbitrary Time Window,"Hi, In the data description, it says Each row in the dataset is an arbitrary stock at an arbitrary 5 day time window. I take this to mean that different rows have different 5 day time windows (i.e. not all stocks have been sampled over the same time window). Is that correct?",0,None,7,Fri Nov 27 2015 17:45:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17599,/competitions/the-winton-stock-market-challenge,None
/mlegner,Correcting log(Sales) prediction for RMSPE,"This is my first forum post here, I hope it will help some people to (even) better understand RMSPE and using a minimal RMSE for log(Sales). [Link]:https://www.kaggle.com/bitsofbits described in [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17026/a-connection-between-rmspe-and-the-log-transform/96290#post96290, that using log(Sales) and minimize the RMSE, we will minimize the RMSPE for Sales. However, this only holds if the variance of the actual sales is very small and requires some corrections else. Let us assume that the log(Sales) ˜y are normal distributed around ˜y0=log(y0) with a standard deviation of σ: ˜p(˜y)=1σ√2πe−(˜y−˜y0)22σ2. We can calculate the RMSPE when choosing \(y^\) as $$E(y^) = \int \left(\frac{y-y^}{y}\right)^2\,p(y)\mathrm{d} y = 1 -2y^\int\frac{p(y)\mathrm{d}y}{y} + {y^}^2\int\frac{p(y)\mathrm{d}y}{y^2} \;.Theminimumisfoundwhenthederivativevanishessuchthaty^=\frac{\int\frac{p(y)\mathrm{d}y}{y}}{\int\frac{p(y)\mathrm{d}y}{y^2}} \;.$$ We now need to calculate fα=∫p(y)dyyα for α=1,2. To that end, we substitute y=e˜y and insert p(y)=˜p(˜y)d˜ydy=˜p(˜y)y=˜p(˜y)e−˜y, leading to fα=∫e−α˜y˜p(˜y)d˜y. Writing out the exponent and completing the square, we obtain log(fα)=−α˜y+12α2σ2, leading to log(y∗)=log(f1)−log(f2)=˜y0−32σ2. This means, that the optimal choice for \(y^\) is given by $$y^ = y_0\cdot \mathrm{e}^{-\frac32\sigma^2}\;.For\(σ2≪1\)andassuminganempiricalvalueof\(σ≈0.1\),theadditionalfactoris \mathrm{e}^{-\frac32\sigma^2} \approx 1-\frac32 \sigma^2 \approx 0.985\;.$$ As usual values for the RMSPE are around 0.1, this change of 0.015 relativ to the ""naive"" value of 1 might have a significant effect.",56,gold,8,Fri Nov 27 2015 19:39:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17601,/competitions/rossmann-store-sales,168th
/imnishantg,Users_data,"Hi Competition Admin Although it looks somewhat obvious, but is the ""timestamp_first_active"" in users' data in ""yyyymmddhhmmss"" format? Thanks",0,None,1,Fri Nov 27 2015 22:16:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17602,/competitions/airbnb-recruiting-new-user-bookings,None
/usixuz,Unbalanced data,"After training with xgb, I found the predicted classes are most NDF and US, checking the counts of each classes gives following statistics: country_destination AU 459 CA 1131 DE 894 ES 1811 FR 4138 GB 1890 IT 2261 NDF 99152 NL 589 PT 159 US 50699 other 8056 I think one possible strategy to deal with this problem might be classify NDF vs US vs allother, then out of allther, do classification on the rest classes. Another strategy might be to sample , NDF, US with several thousand examples and train this more balanced data on all the classes.",3,bronze,3,Fri Nov 27 2015 23:21:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17604,/competitions/airbnb-recruiting-new-user-bookings,572nd
/daxdoctor,Rossman Store Sales,"What does ""StoreType"" and ""Assortment"" represent ? There are four store types; a,b,c,d, and there are three assortment levels; a=basic, b=extra, and c=extended. What do those letters and words mean ? Thanks!!",1,None,1,Fri Nov 27 2015 23:30:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17605,None,None
/richjohnson,Ingredient Exploration,"I haven't seen a lot about pre-processing the ingredients list, so I just wanted to post this to draw some attention to some attributes about ingredients that should be given consideration. There are also a lot of typos in the data (e.g. kidnei beans)",1,bronze,4,Fri Nov 27 2015 23:42:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17606,None,None
/alvations,XGB+Features from @harnalashok,did any sales related feature pollute and disrupt your training cycles? What was the score for this script on the leaderboard?,0,None,1,Sat Nov 28 2015 00:00:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17607,None,None
/hroark,H2O Starter Script ,"Doesn't score great (I did no tuning on the hyper parameters), passes submission. Have fun!",0,None,3,Sat Nov 28 2015 02:08:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17609,None,None
/casertillo,Is the temperature data real? ,from which city is this data?,0,None,1,Sat Nov 28 2015 02:41:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17610,/competitions/morebikes,8th
/chirags,Age variable in users file,"Just to confirm 'age' variable in the user files is 'age of user' and not 'age of customer on file / db' or something like that? If former, we have some immortals in our midst!",0,None,1,Sat Nov 28 2015 03:56:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17611,/competitions/airbnb-recruiting-new-user-bookings,None
/andriyvavasov,Days of the Week,"Are we to assume that June 1st of 2012 and June 1st of 2013 are the same day of the week? For some reason when I try and follow the calendar for the days of the week my scores are super bad, vs the naive forecast based solely on dates",0,None,1,Sat Nov 28 2015 04:34:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17612,/competitions/ud-mba-forecasting-competition,11th
/allanjie,Will NDF type appear in the test data?,Just want to confirm that will NDF happen to the test data?,0,None,8,Sat Nov 28 2015 12:19:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17615,/competitions/airbnb-recruiting-new-user-bookings,1435th
/zhugds,people can book without creating an account?,"I noticed that, for example, date_first_booking is 2010-08-02 while the date_account_created is 2010-09-28. So people can book without creating an account?",1,bronze,2,Sat Nov 28 2015 14:42:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17616,/competitions/airbnb-recruiting-new-user-bookings,485th
/aikinogard,abnormal age data,"I understand age as the age of users. However, there are 753 users have ages greater than 200. They are like 2014, 2013… I suggest everyone take this abnormal behavior into account.",0,None,9,Sat Nov 28 2015 19:54:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17619,/competitions/airbnb-recruiting-new-user-bookings,43rd
/yamiomar88,Not enough RAM?,"Hi there. I was trying to implement a solution in R, but somehow I overloaded my laptop's RAM (8 GB). Are you guys using R or Python? Do you have more than 8 GB of RAM?",0,None,1,Sat Nov 28 2015 20:01:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17620,/competitions/telstra-recruiting-network,None
/asimkievich,domain knowledge,is this a Kaggle competition where domain knowledge is more important than in the average competition? by domain I guess I mean algorithmic trading or similar. Input is welcome.,0,None,6,Sat Nov 28 2015 20:03:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17621,/competitions/the-winton-stock-market-challenge,None
/aikinogard,what is signup_flow?,signup_flow: the page a user came to signup up from Are those integer numbers meaningful or they are just index?,0,None,3,Sun Nov 29 2015 02:37:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17622,/competitions/airbnb-recruiting-new-user-bookings,43rd
/shameekghosh,Understand the column descriptions in train.csv,"Hi, I am trying to understand the column descriptions in the training data provided. The following is my query. ""Each row in train.csv and test.csv represents a location and a time point"". Does this mean that the ""id"" column indicates a timestamp? For example, in rows below from train.csv - ""14121,location 118,1"" ""9320,location 91,0"" would it be correct to interpret the above data, as follows - at a timestamp of 9320, location 91 had a fault_severity of 0 at a timestamp of 14121, location 118 had a fault_severity of 1 And so events at 9320 happened prior to 14121, if seen as a time series of events. Please correct me if my interpretations are wrong. Thanks for the help.",0,None,7,Sun Nov 29 2015 03:16:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17623,/competitions/telstra-recruiting-network,None
/ben519,Understanding Normalized Discounted Cumulative Gain,"I’m trying to get a good understanding of the evaluation criteria, normalized discounted cumulative gain. Working through some examples, let’s assume the correct destination is FR. Then the following sample submissions would yield Case1 Submission = (US) -> DCG = 0 -> NDCG = 0 Case2 Submission = (FR) -> DCG = 1 -> NDCG = 1 Case3 Submission = (FR, US) -> DCG = 1 -> NDCG = 1 Case4 Submission = (US, FR) -> DCG = .63 -> NDCG = .63 Case5 Submission = (FR, FR) -> DCG = 1.63 -> NDCG = 1.63 From this, a couple things become evident: It’s always better to submit 5 destinations (not necessarily unique) for each user as opposed to < 5. In some situations, it may be beneficial to submit the same destination more than once for the same user. Can someone please confirm? Or have I made a mistake in my calculations? Thanks",9,silver,33,Sun Nov 29 2015 03:48:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17624,/competitions/airbnb-recruiting-new-user-bookings,20th
/ferodia,is anobody stemming the ingredients,"Hi, I am currently at the preprocessing data step, to stem the ingredients I am using stemming feature from SnowballC library but it doesn't seem to do much good especially because some words are italian thus not stemmed correctly. Therefore I have two questions: Is there any other library that take into account this particularity ? Is stemming useful for this kind of data at all or I'd better just move on to the next step ? Thanks in advance for helping out a beginner :)",1,bronze,2,Sun Nov 29 2015 11:23:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17625,/competitions/whats-cooking,235th
/johncook,Lots of Scores of 0.10361,Hi - There are a lot or people on the leaderboard with identical scores of 0.10361 - places 300 through 520 or so. Did someone share a script that gets that result? It seems very odd that 220-ish people would have come up with the exact same result independently. John,0,None,9,Sun Nov 29 2015 16:07:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17627,/competitions/rossmann-store-sales,1397th
/jonathanslomka,Python XGBoost Starter,"I didn't tried to improve the parameters for xgboost here (I did that ""randomly""), it scores around ~ 60% I hope it will help !",0,None,33,Sun Nov 29 2015 18:52:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17628,None,None
/steves,Evaluation Function,Does anyone know the value of the evaluation function (WMAE) when applied to the train data set and a prediction vector of all zeroes? I just wanted to double-check my implementation. Thanks.,0,None,2,Sun Nov 29 2015 19:53:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17630,/competitions/the-winton-stock-market-challenge,None
/anupam1924,Am I overfitting??? Need help!!,"I am using a simple XGB model with minimal amount of feature engineering as of now. My best score from a single XGB model is 0.1033 ( using R ) . My major concern is whether I am over-fitting because during training the model my train and validation RMPSE's read something like this: Val RMPSE: 0.0884XX and training RMPSE: 0.05XX Validation and Training RMPSE values always converge somewhere close to the above mentioned values but actual LB varies ( depending upon parameters I set). My problem is that I still have got no idea as to what my LB score is gonna be when I submit a new XGB file . Any ideas how to solve this ?? As I am new , any ideas to improve my current LB score is most welcome . Thanks!!",0,None,7,Sun Nov 29 2015 20:02:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17631,/competitions/rossmann-store-sales,117th
/dingh87,Department features correlation graph,"My main approach in this contest is to diffuse the sparse features on a feature correlation graph. The resulting features gave me a 0.04 jump on the LB. I probably could squeeze another 0.02 by fine tuning the graph and the model, however, I think it will be very hard for me to make the top 10 with a single model. The features correlation graph visualization is appended in this post. The relationships between different departments are pretty consistent with intuition(e.g. customers who buy ladies wear are likely to buy ladies socks and bras& shaewear~). I am also curious if anyone tried Factorization model. I did, and failed miserably . [Image]:http://i.imgur.com/FbOoZCL.png?1 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99748/3317/cateGRAPH.png",24,gold,29,Sun Nov 29 2015 21:36:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17632,/competitions/walmart-recruiting-trip-type-classification,84th
/operdeck,Hillary's sentiment about countries,"Building on the two scripts from others, combining this to get the sentiment per country. Interesting that the UK and the US are on the negative side. I was first thinking that perhaps we are incorrectly interpreting ""us"" (as in ""we"") as United States? But there is no such thing for the ""uk"" so I think it's more probable that both are often mentioned in the same (negative) context as Syria, Iraq or Afghanistan. Long story short - sentiment analysis on rich content like e-mail isn't so trivial ;)",3,None,4,Sun Nov 29 2015 22:52:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17634,None,None
/timevans,severity_type variable clarification,"The ""severity_type"" variable in severity_type.csv has 5 levels: ""severity_type 1-5"" Is this variable categorical, where the numbers 1-5 mean something different (but are not necessarily bad to worse on a scale of 1-5) or are they exactly that, severity of the fault on a scale of 1-5? This doesn't seem clear to me based on the data description: Note: “severity_type” is a feature extracted from the log files (in severity_type.csv). Often this is a severity type of a warning message coming from the log. Thanks in advance.",1,bronze,3,Sun Nov 29 2015 23:58:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17635,/competitions/telstra-recruiting-network,460th
/gabbyq,Findings and Insights,"IMHO, getting a good score is great but getting insights are also very valuable. Since DS is a team work, I'm starting in this thread to share some of my findings. Feel free to share yours.",0,None,24,Mon Nov 30 2015 04:21:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17636,/competitions/airbnb-recruiting-new-user-bookings,397th
/samehif,scoring,"hi, I want to confirm if my understanding is correct. Are the rows with empty Ref ignored when calculating the score of the submission ?",0,None,1,Mon Nov 30 2015 08:10:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17640,/competitions/how-much-did-it-rain-ii,283rd
/bpavlyshenko,Different Approaches for Sales Time Series Forecasting ,"In this post, we show different approaches for prediction sales time series. To compare different prediction approaches we used two last months of the historical data as validation data for accuracy scoring using RMSE metric. For the comparison, we used the following methods: ARIMA (R package “forecast”), Linear regression with LASSO regularization (r package “lars”), Conditional Inference Trees with linear regression on the leaf (R package “party”), Gradient boosting (R package “xgboost”). We also used combined approaches such as linear blending ARIMA and gradient boosting model, stacking with the use of linear regression on the first step and gradient boosting on the second step. We used two ways of classifications – the first way is based on the time series approach and the second one is based on the independent and identically distributed variables which denotes stores sales. On figure fig1.png is shown the example of time series predictions by different methods with RMSE error metric. The figure fig2.png shows the example of time series predictions using linear blending of ARIMA and xgboost models with RMSE error metric. The figure figure fig3.png shows the example of time series predictions using stacking with linear regression on the first step and xgboost on the second step. The figure figure fig4.png shows the examples of time series predictions using xgboost model with time series approach and xgboost model based on the independent and identically distributed variables. The obtained results show that for different stores the best accuracy is released by different approaches. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99778/3324/fig1.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99778/3325/fig2.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99778/3326/fig3.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/99778/3327/fig4.png",13,silver,7,Mon Nov 30 2015 09:53:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17642,/competitions/rossmann-store-sales,170th
/jackyp,The Reveal...,"Congratulations to team verBers for a solid (and stable) finish! I used an ensemble approach with elastic net GLM, XGBoost, SVM, and Deep Learning, based on extending the H2O ensemble package in R. Ensembling proved to be very powerful - my first test submission using H2O Ensemble, with completely default parameters, landed 2nd on public leaderboard, and would have been sufficient to get 2nd in the final scorings too with a score of 13.12258. The biggest gains on public leaderboard was adding more models, fitting hyperparameters and various cleansing - like removing from models premature predictions of a zombie apocalypse (negative deaths) . Ironically, none of that did much to my private score, which hovered at similar levels throughout the competition. My best public score was in actuality worse than my first test submission! I would still say the changes made it a better underlying model, but the small samples involved meant that noise dominated the signal. Some last minute use of hospital data and other increasingly desperate feature engineering (to try to catch up to Alain&Juan who had an impressive public score) paid off - largely due to chance? - for the final score of 12.81629. All in all, I had a lot of fun participating in this comp. Even though none of my work in the last month made an iota of difference to final rankings, it's been a good learning experience and I feel my understanding of model building is deeper for it.",0,None,8,Mon Nov 30 2015 16:30:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17646,/competitions/ai-2015,2nd
/ganderson,Thoughts on the design of this prudential contest,"It may be that a more useful outcome would have resulted for the company if the contest had been structured around a continuous estimation of risk for each observation. Outside of the machine learning experiment, you can always cut and bin a continuous risk outcome into as many intervals as you like, such as 8. However the predictive power of machine learning tools that can be brought to bear on an ordinal outcome simply pales in comparison to regression. Presumably the requested 8 ordinal outcome classes correspond to an underlying risk variable which is actually continuous. The situation reminds of the old Netflix Challenge. After the contest closed, Netflix did not incorporate the winning algorithm since it took too long to compute each prediction.",1,bronze,3,Mon Nov 30 2015 17:38:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17647,/competitions/prudential-life-insurance-assessment,None
/chechir,Sunday's opens are a lot more likely in the test,"Hello, I just noticed that the proportion of stores open on Sundays is a LOT bigger in the test set than in the train set: table(train$DayOfWeek) 1 2 3 4 5 6 7 137557 143955 141922 134626 138633 144052 **3593** table(test$DayOfWeek) 1 2 3 4 5 6 7 5992 5992 5992 5992 5136 5992 **5992** copy Would have Rossman decided to start opening more stores on Sundays for the period of the test set? Cheers",0,None,3,Mon Nov 30 2015 17:55:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17648,/competitions/rossmann-store-sales,95th
/deepsidhpura,Unexpected Result !!,"I was combining my multiple XGBoost Models and one Random Forest Model to get a cumulative result. For example XGB1 * 0.16 + XGB2*0.39 + XGB3 *0.39 + RF * 0.06. However instead of RF * 0.06, I multiplied it by 0.04, i.e. RF * 0.04. This resulted in my overall answer being 98% of what it was originally intended to be, drastically improving my rank by 400 spots !!! Is there any explanation for how this could happen or did I just get lucky ??",4,bronze,13,Mon Nov 30 2015 18:17:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17649,/competitions/rossmann-store-sales,344th
/weruioghvn,Explain a bit more about the covariates,Confusing covariates: affiliate_channel affiliate_provider first_affiliate_tracked first_device_type first_browser Prefix first means features detected in the first active day other than first booking date or signup. Could you give me an scenario of when first active date is different from first sign up date? User open the airbnb page but not sign up?,0,None,1,Tue Dec 01 2015 01:14:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17652,/competitions/airbnb-recruiting-new-user-bookings,1406th
/lawrencechernin,Locations of gifts on Map,I posted to Tableau Public: [Link]:https://public.tableau.com/profile/lawrence.chernin#!/vizhome/KaggleSantasSleigh/RawLocations,8,silver,1,Tue Dec 01 2015 04:42:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17653,/competitions/santas-stolen-sleigh,313th
/amortized,Helping the Santa again..,I was so looking forward to this one. Last year's Santa competition was so much fun.. This one looks exiting.,4,bronze,5,Tue Dec 01 2015 05:05:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17654,/competitions/santas-stolen-sleigh,415th
/sushize,About evaluation metric,"Dear competition admins, Hello! Could you clarify that, whether the sleigh base weight (10) would be ignored when computing the WRW (weighted reindeer weariness) using the provided formula? Is that true this sleigh base weight is only used to check the sleigh weight capacity, but not used in the WRW score computation? For example, after the sleigh deliver all the gifts of that trip, and head back to north pole without any gifts on the sleigh, would the sleigh base weight (10) be count when computing the WRW? And in the provided formula, does Loc_{0} mean the starting point ""north pole""? By looking at the provided formula only, it seems to me that the answers might be that: 1) sleigh base weight are ignored when computing the WRW; 2) Loc_{0} always means the starting point ""north pole"". But by looking at the evaluation metric script provided by Wendy, it seems to me that sleigh weights are not ignored when computing the WRW. This makes me a bit confused, and it would be good if you could clarify this for me^_^ Thanks in advance, and have a great day! Best regards, Shize",1,bronze,6,Tue Dec 01 2015 06:38:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17655,/competitions/santas-stolen-sleigh,112th
/tylerjharden,"Is culinary knowledge ""external data""?","If I know from experience, or could learn additionally from research, that certain prevalence and combination of ingredients are typical bases for certain cuisines, and being that cuisines are human-defined, would my use of that knowledge to ""pre-train"" or in essence bias a model be using external data, or am I simply adding additional context to the data that is already in the set for the purpose of more accurate analysis? Example: I know that celery + carrot + onion is a mirepoix, and indicates French cuisine, and can hence bias a model when that combination exists. Is this cheating / doing something wrong? I feel for something this particular in domain, man-made context would be appropriate to define, otherwise this is just a glorified word association / NLP / text analysis / word occurrence problem. As an aside, I am a software engineer who works primarily in analytics, and am just breaking into big data / machine learning / data science, so pardon my ignorance. Cheers, Tyler",0,None,3,Tue Dec 01 2015 06:49:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17656,/competitions/whats-cooking,None
/jmakansi,Is the 1st submission mandatory?,"I know that the 1st submission deadline was today. But, it seems like it won't even allow me to make a submission at all even though I only planned on submitting one solution? Was the first submission mandatory? And was this explained somewhere?",0,None,1,Tue Dec 01 2015 07:34:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17657,/competitions/how-much-did-it-rain-ii,None
/chaitu,Same feature maps using Convolutional Deep Belief Networks,I am doing a classification of images using Convolutional Deep Belief Networks(code [Link]:https://github.com/dustinstansbury/medal). All my feature maps in the first layer are same. Any explanation on how can all filters generate same feature maps on my image. Filters does not look same. Am I missing any hyperparameter setting ?,0,None,1,Wed Dec 02 2015 01:18:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17672,None,None
/am1to2,Haversine in KM or in Miles,"Hi, I'm not sure if Haversine will be measured in KM or in Miles. Would really appreciate your help. -Amro",1,bronze,7,Wed Dec 02 2015 08:12:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17682,/competitions/santas-stolen-sleigh,1060th
/thakurrajanand,Beat the Benchmark - 14358424217,[Link]:https://www.kaggle.com/thakurrajanand/santas-stolen-sleigh/beat-the-benchmark-14358424217,1,bronze,15,Wed Dec 02 2015 16:36:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17691,/competitions/santas-stolen-sleigh,65th
/jwjanderson,Winton at NIPS,"Winton is heading to NIPS! Next week, Chris, myself, and a few others will be in Montreal at the Neural Information Processing Systems conference. If you happen to be in town on Monday, Tuesday, or Wednesday we’ll have a booth set up, so come along and say hello. We’d be really excited to meet some of the competitors in the challenge and talk about how you are all getting on. Hope to see you there.",2,bronze,1,Thu Dec 03 2015 16:08:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17708,/competitions/the-winton-stock-market-challenge,None
/iancassidy,Convert timestamp_first_active to datetime,I can't seem to figure out how to convert the timestamp_first_active variable to a usable datetime. It is definitely not in linux epoch. Does anybody know what kind of timestamp this is?,1,bronze,10,Thu Dec 03 2015 16:59:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17709,/competitions/airbnb-recruiting-new-user-bookings,165th
/yoyosisco,[Deleted Kernel],"better to change sapply(full$Cabin,function(x) strsplit(x,'[A-Z]')[[1]][2]) to sapply(full$Cabin,function(x) strsplit(as.character(x),'[A-Z]')[[1]][2])",0,None,1,Fri Dec 04 2015 05:14:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17715,None,None
/jjayadeep,Question about age_gender_bkts.csv,"What does the data in this excel file mean? For example age_bucket,country_destination,gender,population_in_thousands,year 100+,AU,male,1.0,2015.0 Does it mean that people in the US who are more than 100 years old go to Australia which has a population of 1000 (100+) in the year 2015? Thanks, Jayadeep",0,None,2,Sun Dec 06 2015 17:42:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17739,/competitions/airbnb-recruiting-new-user-bookings,1033rd
/aaronsim,Congratulations everyone!,"I had lots of fun! I will post my solution very soon. In a nutshell, I used bidirectional (vanilla) recurrent neural networks exclusively (no xgboost). I need to sleep now…",18,gold,15,Tue Dec 08 2015 01:04:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17766,/competitions/how-much-did-it-rain-ii,1st
/grogs84,getting started with pandas,"This is my first competition here. I'm comfortable using python, but for the most part any sort of data cleaning/ munging I've used some flavor of SQL or SAS. It seems like pandas is the way to go if you want to do all your work in python, however it seems like the learning curve is steep. For example, I wanted to have one record for VisitNumber & TripType, and create more features of FinelineNumber where the values for the features are the sum of the ScanCount. It seems like any sort of groupby or pivot or pivot_table in pandas returns some sort of dataframe, but not a mxn matrix which can be sliced. Also, I was curious about doing it in a sparse way so my little laptop doesn't bomb out. Are there any other competitions here where the data was given in a 'normalized' way (multiple rows for each target) that has scripts enabled so I could see how others are tackling this problem? Thanks!",0,None,2,Tue Dec 08 2015 03:44:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17768,/competitions/walmart-recruiting-trip-type-classification,None
/coldmanck,Train face detector with Fast R-CNN,"Hi guys, I wrote something [Link]:https://github.com/coldmanck/fast-rcnn/blob/master/README.md when I trained a whale face detector with [Link]:https://github.com/rbgirshick/fast-rcnn (by Ross Girshick), all of you are welcome to give it a try. I shared it publicly because I've also shared this with other teams. I will appreciate if you could give my repo a star if you find this helpful :) good luck!",6,bronze,2,Tue Dec 08 2015 06:43:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17770,/competitions/noaa-right-whale-recognition,240th
/jxieeducation,XGB: Need some intuition on how to tell that I am overfitting,"Hey everyone, I am running XGB. I can't really tell when to stop training given the same parameters. For instance, (taken from my submissions today on the LB), running eta=0.35, depth=11, col_sample=0.4, min_child_height=1.1 [128] train-rmspe:0.087603 eval-rmspe:0.095792 --> this scored me 0.11737 [117] train-rmspe:0.091543 eval-rmspe:0.096149 --> this scored me 0.11727 [72] train-rmspe:0.114237 eval-rmspe:0.098882 --> this scored me 0.11602 I think that my current heuristic is that if my train error is decreasing a lot faster than my eval error, then I should stop. So far, I read [Link]:http://www.slideshare.net/odsc/owen-zhangopen-sourcetoolsanddscompetitions1 --> slide 13, where Owen talks about how a healthy graph looks like. How can I tell that I am supposed to stop at iteration 72 and not 117 or 128? Is there some way that I can tell when to stop by comparing the train and eval RMSPE? Would really want some intuition on how to stop overfitting on XGB. Thanks very much!",0,None,1,Tue Dec 08 2015 08:02:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17771,/competitions/rossmann-store-sales,1412th
/davutpolat,Interesting Result,"when i used simple average of a couple of model's from kaggle scripts , i got 0.0977 on LB but none of single models beats 0.1050 , probably there will be great shake up on private LB",1,bronze,14,Tue Dec 08 2015 08:44:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17772,/competitions/rossmann-store-sales,65th
/himanshusinha,Error while submission,I am getting error during submission . The submission file is formatted exactly as instructed . Any idea ?? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/100533/3393/error while submission.png,0,None,5,Tue Dec 08 2015 09:22:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17773,/competitions/walmart-recruiting-trip-type-classification,462nd
/ksdwor,ACF and PACF interpreation,"Can you please tell me what should be the values of acf and pacf from the graphs I have attached. I think it should be (p=0,d=1,q=3). I have difference the data once so d=1 and there are three spikes in PACF so q=3. But auto.arima is giving answer as (0,0,1). Also what should be values for seasonal P,D,Q and its period value. I am learning time series so it may sound like basic question. Thank you.. [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/100548/3394/ACFPACF.jpeg?sv=2012-02-12&se=2015-12-12T05%3A21%3A35Z&sr=b&sp=r&sig=k%2F%2FYmUjloVVZ3L0VmFie8lQlYEP5rP38kkUH7RrD5jM%3D [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/100548/3395/DiffAcfPacf.jpeg?sv=2012-02-12&se=2015-12-12T05%3A23%3A08Z&sr=b&sp=r&sig=OnJHA6FkIa32%2BE4tNNQCDyORYYFq6mJSYehuc%2BVj3h8%3D [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/100548/3394/ACFPACF.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/100548/3395/DiffAcfPacf.jpeg",0,None,2,Tue Dec 08 2015 11:47:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17774,/competitions/rossmann-store-sales,None
/dselivanov,[R] word embeddings and other NLP stuff,"Hi, kagglers! In contrast to Python which has gensim and scikit-learn, R lacks of good text-mining framework (actually R even don't has good vectorizers). Most famous is tm, but it is incredibly slow and inefficient. Here I want to highlight [Link]:https://github.com/dselivanov/text2vec - project I started a few months ago (I'm very interested in contributors. ). At the moment it pretty stable and I believe it can be useful for community. It provides : Tools for vocabulary creation and out-of-core methods for corpus creation using hash or vocabulary vectorizers. Word embeddings via [Link]:http://nlp.stanford.edu/projects/glove/. (which usually outperform word2vec) Documents/tutorials are available by [Link]:http://dsnotes.com/categories.html#text2vec-ref tag in my blog. Particularly you can found useful [Link]:http://dsnotes.com/blog/text2vec/2015/12/01/glove-enwiki/ about word embeddings on wikipedia data. text2vec is fast - core functionality is written is C++ and GloVe fitting is fully parallel via RcppParallel and Intel Thread Building Blocks library. Also for this competition I'm interested in teammates with NLP deep learning experience (unfortunately I don't have such experience).",9,bronze,2,Tue Dec 08 2015 12:42:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17776,/competitions/the-allen-ai-science-challenge,None
/mmucha,"Boy, that escalated quickly","So, can anyone explain what was so special about today's morning? I got confused…. Marcin",0,None,5,Tue Dec 08 2015 14:43:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17777,/competitions/santas-stolen-sleigh,3rd
/dineshlal,Doing iterative task in R,"I want to create cross table of all factor variables with respect to QuoteConversion_Flag. I am not sure how I can automate this. this is the set of code I want to replicate for all variables: ---this will create a dataframe with cross table across QuoteConversion_Flag variable tableCoverageField2B<- data.frame(table(train$QuoteConversion_Flag, train$CoverageField2B)) ---this will create a column with flag name as column name field master_table <- cbind(tableCoverageField2B1, flag=""tableCoverageField2B"") I want to iterate this over the list of factor variable present in train dataset. Not sure if loops or function can be used in R to achieve this.",0,None,3,Tue Dec 08 2015 14:53:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17778,/competitions/homesite-quote-conversion,None
/kaiyangzhou,About Report Pages,"Hi, I would like to ask is there a page limit for this assignment? For example, we should write more than 15 or 20 pages totally. Regards, Kevin.",0,None,1,Tue Dec 08 2015 18:12:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17781,/competitions/morebikes,8th
/wildwizard,submission choice and xgboost output,"Hi I currently got bad LB score, but for the sake of learning a little more, I will post this: Model 1: LB score 0.011732 error 0.060111 [2718] train-rmspe: 0.048946 eval-rmspe: 0.060111 Stopping. Best iteration: [2518] train-rmspe: 0.049506 eval-rmspe: 0.06006 Model 2: LB Score 0.011989 error 0.063535 [362] train-rmspe: 0.026992 eval-rmspe :0.063535 Stopping. Best iteration: [162] train-rmspe: 0.038788 eval-rmspe: 0.06255 Model 3 LB Score 0.013130 error 0.101224 [341] train-rmspe:0.035766 eval-rmspe:0.101224 Stopping. Best iteration: [141] train-rmspe:0.055743 eval-rmspe:0.09984 Model 4 LB score 11497 (my best :-c) error 0.102285 [2228] train-rmspe:0.074944 eval-rmspe:0.102285 Stopping. Best iteration: [2028] train-rmspe:0.076237 eval-rmspe:0.10166 I feel a little lost here cause both first models where largely better performing, be it at error level or for eval, but in the end the difference is not significant. While there are vast differences for models 3 and 4, thought error seemed the same (and accuracy on train and eval was better on the worse performing). Also, it has been useful to define some parameters, but since depth influence change with number of features, it is now useless? Please, has someone some good insights to manage this (yeah, that's probably something I should ask earlier but I am still learning, so I am not necessarily in time with the competition…)? Thanks by advance.",0,None,6,Tue Dec 08 2015 18:20:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17782,/competitions/rossmann-store-sales,183rd
/thomasseleck,Standford CoreNLP library,"Is it possible to use a hand-labeled dataset (word, entity) to let a StandfordNERTagger learn what are the entities present in the dataset ?",0,None,3,Tue Dec 08 2015 18:34:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17783,/competitions/the-allen-ai-science-challenge,61st
/mraxilus,"What is Meant by ""Better Than The Baseline"" in Assessment?","On the assessment page, in both Phase 1 and 2, it is mentioned that our models should ""give a performance better than the baseline."" Near the end it mentions multiple baseline approaches with varying MAEs. My question is, do we have to beat all 3 baselines to achieve marks in this area? I plan to, I just want to clarify.",0,None,4,Tue Dec 08 2015 19:05:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17784,/competitions/morebikes,10th
/venkatesh01,Trying to work with the Address Column!!,how can i transform the address column? Can anyone suggest me good techniques in feature transformation to work with address column?,0,None,5,Wed Dec 09 2015 08:48:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17791,/competitions/sf-crime,251st
/aptperson,CV score and leader board dissagreement,"Is anyone else finding that their CV score and leaderboard are disagreeing, by a lot? I'm preforming 10-fold CV (although, 5-fold is giving similar results). It's all looking great locally, then when I submit I get a huge drop in performance. I googled how to avoid overfitting, but all this gave me was cross validate, look for when the test error is minimised (regarding boosting iterations), and use regularised models. On my last submission, there was less separation between train and validation error when I look at diagnostic plots, but I got a big shock when I submitted the results. I'm using xgboost and doing all of the above, but no dice. Any tips from the pros?",0,None,72,Wed Dec 09 2015 12:15:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17792,/competitions/telstra-recruiting-network,185th
/blindape,Time split validation score,"Using a time split validation set (48 days previous test set begins, Jun 14th to Jul 31th) My first model has a validation score of 0.1188 (0.1094 without factor correction). Are your results consistents (0.09 better in public leaderboard than in validation without any factor correction)?",2,bronze,12,Wed Dec 09 2015 14:28:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17794,/competitions/rossmann-store-sales,42nd
/joefromlondon,Interactive Crime Map,"Hi, Would it be possible to obtain the per captia income data? Or at least point me in the right direction :)",0,None,1,Wed Dec 09 2015 15:29:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17795,None,None
/woody0260,Code for SAFE submission,Are we expected to upload the code we used to obtain our results to safe in addition to the report? Thanks,0,None,1,Wed Dec 09 2015 15:35:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17796,/competitions/morebikes,3rd
/chipmonkey,[Deleted Kernel],Nice to see someone else using SQL! Great approach.,1,bronze,25,Wed Dec 09 2015 15:56:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17797,None,None
/kotomord,Lower bound,"Lower bound is really close with the best leaderboard result, ho-ho-ho",2,bronze,6,Wed Dec 09 2015 16:31:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17798,None,None
/vhatobefat,Auto feature from text for deep learning in classification,"Hello all, In the first class of the course Deep Learning for Natural Language Processing by Stanford at [Link]:https://www.youtube.com/watch?v=sU_Yu_USrNc , the instructor mentioned that, for deep learning we can feed the input to the model and it will automatically extract the features (we do not need to define features anymore) and then classify the data. Is it true? if so, how could I do this in practice? The question I have to face now is: I have a list of text, each with labels. I want to learn from content of the text to classify the label. Thanks,",0,None,3,Wed Dec 09 2015 17:00:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17799,None,None
/zsoltcsizmadia,Optimal route within a single small cluster,"An optimal path for a small cluster (not fully loaded sledge) found by Xpress. The heaviest gift is delivered in the second part of the route. Is someone looking at how to generate top heavy clusters, i.e. where you try to find clusters in which the the heaviest gifts are on top? [Link]:https://kaggle2.blob.core.windows.net/competitions/kaggle/4704/media/weighted_tsp2.png",4,bronze,5,Wed Dec 09 2015 18:08:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17801,/competitions/santas-stolen-sleigh,None
/usixuz,Open Source Stock Prediction,"For those who want to learn stock prediction like me, here is a nice open source project [Link]:https://github.com/Pivotal-Open-Source-Hub/StockInference-Spark",5,bronze,1,Wed Dec 09 2015 18:38:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17802,/competitions/the-winton-stock-market-challenge,396th
/tr09d0r,Intuition Behind Poisson Objective,"In the early versions of the scripts posted by Ben Hamner, the XGBoost objective parameter was set to reg:linear, but more recent versions that perform better have the objective parameter set to objective = ""count:poisson"". I don't have a good understanding of why that change is improving the performance. Does anyone have insight here that you can share? Thanks.",7,silver,4,Wed Dec 09 2015 19:51:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17803,/competitions/prudential-life-insurance-assessment,218th
/annavictoria,Script Prize Winners,Thanks for diving into our community's data and sharing your findings on [Link]:https://www.kaggle.com/c/meta-kaggle/scripts! We've identified the below Kagglers (including some folks from HQ :) as prize winners: Most Upvotes [Link]:https://www.kaggle.com/rinzewind/meta-kaggle/who-might-have-won by [Link]:https://www.kaggle.com/rinzewind [Link]:https://www.kaggle.com/willieliao/meta-kaggle/making-the-master-tier by [Link]:https://www.kaggle.com/willieliao [Link]:https://www.kaggle.com/jeffmoser/meta-kaggle/top-100-users-by-daily-submissions by [Link]:https://www.kaggle.com/jeffmoser Most Forks [Link]:https://www.kaggle.com/benhamner/meta-kaggle/exploring-with-a-python-notebook by [Link]:https://www.kaggle.com/benhamner [Link]:https://www.kaggle.com/sudalairajkumar/meta-kaggle/testscript by [Link]:https://www.kaggle.com/sudalairajkumar [Link]:https://www.kaggle.com/benhamner/meta-kaggle/competitionhostsegments-table by [Link]:https://www.kaggle.com/benhamner Most Lively Conversations [Link]:https://www.kaggle.com/inversion/meta-kaggle/exploring-submission-timing by [Link]:https://www.kaggle.com/inversion [Link]:https://www.kaggle.com/tyi2000/meta-kaggle/number-of-participants-predictor by [Link]:https://www.kaggle.com/tyi2000 [Link]:https://www.kaggle.com/mlandry/meta-kaggle/in-progress by [Link]:https://www.kaggle.com/mlandry,5,bronze,1,Wed Dec 09 2015 20:40:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17804,None,None
/ge0ffrey,Haversine distance calculation in Java or C++,"I've seen a few different implementations of the haversine function, with different accuracy and different rounding errors. I'd like to mimic the official evaluation implementation as good as possible in Java using Math.PI, Math.sin(), Math.asin(), Math.cos(), … to avoid an accumulated rounding error. Is the evaluation implementation published by any chance?",1,bronze,3,Wed Dec 09 2015 22:00:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17805,/competitions/santas-stolen-sleigh,73rd
/vabatista,Anybody using Spark here?,Does anybody using Apache Spark MLLib here? Which MLLib are recommended?,0,None,7,Thu Dec 10 2015 00:08:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17806,/competitions/homesite-quote-conversion,1285th
/oraware,Telstra Employee,"I am Telstra employee under title of Business Analyst , can i join this competition?",0,None,3,Thu Dec 10 2015 02:30:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17810,/competitions/telstra-recruiting-network,None
/gilton,Exploring Rossmann data,I really enjoyed and follow up easily your algorithm and I will like to recommend it to others,1,bronze,5,Thu Dec 10 2015 03:01:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17811,None,None
/ar2rodel, XGboost: Increase precision in metric evaluation,"Hi, guys I just can figure out this one and have searched around for a while. When I am running iterations for XGboost and we usually get the watch list printed like: [2999] eval-rmse: 0.115002 train-rmse: 0.105112 Is there a way i can modify the settings in the package to increase the number of decimals in the answer such as: [2999] eval-rmse: 0.115002123 train-rmse: 0.1051121123 I just want to make a small sensitivity analysis and this is stopping me, and I have tried some ideas but so far I have not hit the answer. Thank you very much for your kind help",0,None,2,Thu Dec 10 2015 05:21:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17813,/competitions/rossmann-store-sales,None
/balajee,Feature count?,Number of feature used by you guys for the model?,0,None,9,Thu Dec 10 2015 05:26:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17814,/competitions/telstra-recruiting-network,229th
/coolsgd,Running Fico mosel file on linux,I am new to linux enviroment. Can somebody please help in figuring out how to run the given mosel model. I have installed Fico Xpress and also run the script which it mentions to set the enviroment. Fico site clearly mentions that the GUI is for windows only so what do I do next. Thanks in advance,0,None,9,Thu Dec 10 2015 11:00:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17817,/competitions/santas-stolen-sleigh,182nd
/rohanjanjua,Let me help you test your model,"The machine learning space seems like one that hasn't quite developed a concrete set of testing techniques. I'm a test engineer interested in looking at how big data and machine learning models can be effectively tested. If you want your model tested I would be happy to work with you to test your model. I'm trying to find interesting projects with a large scope for improving the models, looking at the leaderboard for this project, it seems to fit the bill. This is a research exercise for me. I'll add that I'm not too bothered about prize money, I am quite interested in developing a methodology around testing for machine learning and big data problems. I think it's got huge potential in the coming years. Thanks Rohan",0,None,1,Thu Dec 10 2015 11:42:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17818,/competitions/the-allen-ai-science-challenge,None
/jjayadeep,session_Data,"Hi [Link]:https://www.kaggle.com/Abeer, have you been able to use the session data ?",0,None,7,Thu Dec 10 2015 11:44:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17819,None,None
/wendykan,Leaderboard is now verified,"Hi all, Thank you for participating in this competition! We are very excited to see so many people joining this one. We have now removed the cheaters, so the results are final. Congrats to the winners! We hope to see all of you in other competitions soon. Kaggle Admins",2,bronze,5,Thu Dec 10 2015 15:35:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17820,/competitions/how-much-did-it-rain-ii,None
/andrelopes1705,Why InfMnist (MNIST) size of 8M examples is calculated as 8 109 999 examples?,"On the website : [Link]:http://leon.bottou.org/projects/infimnist It says : **Generating files containing the MNIST8M training set: $ infimnist lab 10000 8109999 > mnist8m-labels-idx1-ubyte $ infimnist pat 10000 8109999 > mnist8m-patterns-idx3-ubyte** However, i fail to see why its from 10 000 to 8 109 999 Even if i do : 8 109 999 - 10 000 , it still doesnt make sense to me. To me 8M would be 8 000 000 + 9 999 because i would end at 9 999 and start from 10 000 to 8 009 999 , which would be 8 million images. Does anyone understand why the hell its 8 109 999 ? Doesnt make sense to me.",0,None,2,Thu Dec 10 2015 17:31:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17822,/competitions/digit-recognizer,None
/valeriur,Score predictions using NDCG,"it returns a list of values, how to convert it to the score, should this list be averaged?",0,None,12,Thu Dec 10 2015 18:04:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17823,None,None
/niranjanmudhiraj,kaggle submission format,"hi, after prediction, i have two columns (VisitNumber | TripType) , how to convert this into kaggle format using R, any suggestions please.Thank You.",0,None,6,Thu Dec 10 2015 19:21:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17824,/competitions/walmart-recruiting-trip-type-classification,672nd
/dyakonov,Отчёты студентов ММП ВМК МГУ,"В этой ветке до 23го декабря 23:59 надо опубликовать pdf-отчёт и код. В отчёте перечислить методы, которые были использованы (и причины их использования), результаты тестов на локальном контроле и на лидерборде.",0,None,8,Thu Dec 10 2015 21:15:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17826,/competitions/msuedges,2nd
/klsabren,Undergraduate Student Interested in Data Science,"Hello, I'm not sure where to post or how to talk to a Data Scientist to gain some insight about this. I figured I will start here. I apologize if this is a wrong place. I am currently an undergraduate student. I declared my major during my first year in SCM. However, I enjoy learning Computer Science and Statistics. I am currently a bit lost. I want to double major in Computer Science and SCM, at the same time, Statistics and Economics are super interesting to me. I just want to ask what could be a good double major for me. Also, how can one become a Data Scientist? (Educational path, etc.) TL;DR: Undergrad student interested in Data Science's field. Don't know where to start. Thank you all.",2,bronze,1,Fri Dec 11 2015 00:04:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17828,None,None
/inspector,Non XGBoost Success?,I participate in Kaggle not to try and win or even really submit (mainly I run experiments locally with xval)- but to have an excuse to try different methodologies and software on interesting data. It seems Kaggle has pretty much become xgboost + ensembles :) but I am curious if anyone has had any success in this competition with neural nets or other non GBM techniques?,4,bronze,29,Fri Dec 11 2015 02:43:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17829,/competitions/prudential-life-insurance-assessment,None
/cabcuk,1st time deadline dissapointment - Read the rules!,"Rossmann Store was to be my first Kaggle competition and I knew the deadline was Monday. What I had not appreciated as a rookie, was that there was also a deadline for the first attempt! Although I have my own Error estimate, is there any way to validate/assess my predictions now that I've missed that deadline? For example, will the actual Y's for the test be posted after the competition? If not why not ? might it not encourage further work? perhaps there could be an email reminder of the 1st deadline if you've downloaded the data? Accepted as my error… but annoyed to miss the chance of collecting my first few points! Ian",0,None,2,Fri Dec 11 2015 12:39:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17831,None,None
/danieldias,Solution Visualizer,"I am working on an interactive gifts and routes visualizer to help me gain some insight. I draw each gift as a small circle in the globe, and the weight is represented in a red scale, gifts of weight 1 are 100% white and of weight 50 are 100% red. I attached 2 figures, a part of the globe with all gifts plotted, and a zoom of a single trip. Let me know what you think, and if you can think of better ways of visualizing the impact of weights on the quality of routes. I plan to make the tool available for all. Is it against any Kaggle rule? The base code for creating the tool was [Link]:http://mbostock.github.io/d3/talk/20111018/azimuthal.html [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/100872/3404/single-route.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/100872/3405/gifts_orthographic_plot.png",7,silver,2,Fri Dec 11 2015 15:06:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17832,/competitions/santas-stolen-sleigh,11th
/gaborfodor,Cervical Cancer Screening Eligibility,What is the criteria for the competition? The page shows me: This competition is private-entry. You can view but not participate. Is it just some kind of temporary bug? Although the Eligibility part in the rules section is quite strange: The Competition is open to all individuals over the age of 18 at the time of entry and to all validly formed legal entities that have not declared or been declared in bankruptcy. Healthcare Professional are not eligible to participate in the Competition.,1,bronze,7,Fri Dec 11 2015 18:44:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17833,None,None
/daxdoctor,Submitting the forecast,"Do we need to post the forecast exactly in the way, the sample has it ? I mean does it have to have Id and Sales column, or can it be just store and sales ? Thanks!!",0,None,1,Fri Dec 11 2015 20:41:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17834,/competitions/rossmann-store-sales,2841st
/davutpolat,Docker for Data Science,"Hi fellows, Is there anyone who uses Docker containers ( [Link]:https://www.docker.com/) for data science, for both kaggle competitions and professional purposes, i would like to hear their experiences, thanks in advance Regards, Davut",0,None,2,Sat Dec 12 2015 08:03:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17837,None,None
/maslopo,Customers are the key to success,"Their spending power, their number, their price sensitivity, the tendency to be hoarders. Then their number and their quality should be the focus for building analysis and assumptions on sales. I think many, I first and foremost, have focused too much on sales, number, losing a bit 'of view which is the engine that produces them. Perhaps the simple metrics such as RFM could be much help.",0,None,8,Sat Dec 12 2015 08:19:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17838,/competitions/rossmann-store-sales,378th
/codechamp,Beat the Benchmark - 14358424217,,0,None,2,Sat Dec 12 2015 09:24:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17839,None,None
/benhamner,"VisualizeYou'll shoot your eye out, kid","For anyone else who didn't get the ""you'll shoot your eye out, kid"" reference: [Link]:https://www.youtube.com/watch?v=YleZvTSDC6s",2,bronze,3,Sat Dec 12 2015 12:42:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17840,None,None
/mmueller,Neck & Neck,"[Image]:http://i.imgur.com/EImyaWA.jpg Gratz to both teams for these impressive scores and best of luck for the remainder of this competition. It remains exciting, hats off.",10,silver,25,Sat Dec 12 2015 13:34:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17842,/competitions/rossmann-store-sales,38th
/adjgiulio,Metadata,Could we get the same printscreens in the data page in a spreadsheet format?,1,bronze,2,Sat Dec 12 2015 16:51:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17844,/competitions/cervical-cancer-screening,1st
/alexanderschaaf,Unzip files,After Anil posted his solution i wanted to try run the code but it fails. I'am using MacOSX 10.10.5. After i got an Error outside his code i unzipped the file inside the finder tool (which works fine) and zipped them again (Finder). but it didn't help. now i'am getting this error: file #21006: bad zipfile offset (local header sig): 12883176834 file #21007: bad zipfile offset (lseek): 12883763200 Can somebody help me please?,0,None,2,Sat Dec 12 2015 17:02:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17845,/competitions/noaa-right-whale-recognition,None
/trunghieu11,"My pc not enough resources for training data, what's solutions? ","Hi, I'm newbie, I try to train data with R but it seems training data is too large or my model is too complicated so my pc can't handle it. Is there have a solution for this problem? May I rent a server for training data? Thanks all.",1,None,3,Sat Dec 12 2015 19:23:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17846,None,None
/datadave,nDCG score R,"Still testing this, but it gives the correct answers for the examples of previous scripts written in Python. I removed the method=0 option, since it isn't relevant to this contest, and seems less prevalent generally.",1,bronze,3,Sat Dec 12 2015 19:52:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17848,None,None
/daxdoctor,Unclear on the formula,[Link]:https://www.kaggle.com/c/rossmann-store-sales/details/evaluation Open the link. What is the formula comparing. It must be comparing the forecasted 2015 sales values with something. What is it ? I am confused.,0,None,12,Sat Dec 12 2015 20:45:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17849,/competitions/rossmann-store-sales,2841st
/julialukash,Преодолеваем Benchmark с NetworkX,"Вот ipython notebook для преодоления бенчмарка с помощью библиотеки NetworkX и коэффициента Адамик/Адара. Возможно он немного кривой, но вроде работает. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/100997/3406/networkX.ipynb",5,bronze,4,Sat Dec 12 2015 20:59:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17850,/competitions/msuedges,6th
/almonds,"Missed the first submission deadline, is anyone willing to take a cut of possible winnings if I use their account to submit a solution?","Hi Everybody, I was really confused by the first Rossman deadline. I had been working on the competition for the last month or so, and it was not really obvious that you had to make a submission by Dec 7. Is anyone willing to take one of my submissions as one of their two to be judged, in return for a cut of the potential winnings? I really think that they should just have a single deadline. Having more than one, especially when the publicly displayed deadline (the one on the home page) is the later deadline, is really misleading. Best, Allen",-10,None,9,Sat Dec 12 2015 21:38:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17851,/competitions/rossmann-store-sales,None
/notaapple,Implementing the Quadratic Weighted Kappa,Does anyone know how to implement the quadratic weighted kappa for this competition? So far I've been using the RMSE.,1,None,7,Sun Dec 13 2015 01:26:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17852,/competitions/prudential-life-insurance-assessment,1286th
/yib2irvine,ndcg xgboost example,You may change it into num.class = length(unique(labels)) I think this eval_metric also works for mxnet.,0,None,18,Sun Dec 13 2015 08:52:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17854,None,None
/p2004r,Denoising with R: Part 1,"1) > matrix(1:12, ncol=4) [,1] [,2] [,3] [,4] [1,] 1 4 7 10 [2,] 2 5 8 11 [3,] 3 6 9 12 > as.vector(matrix(1:12, ncol=4)) [1] 1 2 3 4 5 6 7 8 9 10 11 12 > copy 2) dat <- do.call(rbind, lapply(filenames, function(f) { cbind(as.vector(readPNG(file.path(dirtyFolder, f))), as.vector(readPNG(file.path(cleanFolder, f)))) })) copy",4,bronze,5,Sun Dec 13 2015 09:57:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17855,None,None
/dithyrambe,Stability of XGBoost cross-validation,"Hi there, its my first post here :S. I was wondering if there is an explanation to one of my recent observation. Let me explain : Since i don't know any elegant way to run a cross-validation which enables me to then predict on the test set in a straight way, I get through it a bit messy. The thing is I just loop on somme k-folds (5-folds) random index (built thanks to CARET createFolds function). Then, at each loop, i get a prediction vector for the test set. Finally, i get k prediction vectors. After that, i'm just free to (weight) mean my predictions into one submission. (By the way, if you know a smarter solution, please let me know !) Now that you know my ""protocol"", here is my observation : Each loop, I train the XGBoost regressor until early_stopround is reached on the validation sample. And, when i look at the last round score (RMPSE), depending on the validation fold, they seems different each train loop. Well, that's fine, of course. Though, i'm wondering how to explain such consequent variation. A round is about 0.10, and another round is about 0.25. I understand the mechanism hiding behind cross-validation but can random-sampling be as unlucky as that ? thanks for your advices ! Dithyrambe",0,None,4,Sun Dec 13 2015 18:18:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17858,/competitions/rossmann-store-sales,120th
/xueerchen,"what does ""claim ID"" mean here","seems only our team is here now.. but I still have this question, diagnosis, procedure, prescription and surgical file all have ""claim_id"", does each claim represent one entry in each table?",1,bronze,2,Sun Dec 13 2015 18:39:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17859,/competitions/cervical-cancer-screening,6th
/del=022c8900c08cbea4,XGBoost error 0.015?,"[Link]:https://www.kaggle.com/donskov/rossmann-store-sales/xgboost-2 Hello, I'm newbie and this is my first competition. I worked on it about 2 months, but I forgot to register on this competition, so I can't make submission. I don't know, maybe in this script is some mistake, because 2% is too good result. Can somebody told me where it is? Thanks. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101079/3409/Rossmann.ipynb",1,bronze,5,Sun Dec 13 2015 19:00:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17860,/competitions/rossmann-store-sales,None
/vladislavbelyaev,A question about code sharing,"Dear administration :) Could you please shed some light on this point of rules: ""Participants are prohibited from privately sharing source or executable code developed in connection with or based upon the Data, and any such sharing is a breach of these Competition Rules and may result in disqualification. Participants are permitted to publicly share source or executable code developed in connection with or based upon the Data, or otherwise relevant to the Competition, provided that such sharing does not violate the intellectual property rights of any third party. "" For instance, if I'm going to give my code to several people, is publishing it on GitHub in an open access is enough to not making them being banned for using this code or submitting results?",0,None,2,Sun Dec 13 2015 20:33:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17862,/competitions/the-allen-ai-science-challenge,None
/inversion,Updated LB Progression,"A lot of interesting things have happened in the last 2 weeks, so I've updated the leader board progression animation. The y-axis is now a log scale so the spikes don't drown out the action of the top 3 spots. I hope everyone has a good last day! [Image]:http://i.imgur.com/wPscY9h.gif",21,gold,2,Sun Dec 13 2015 22:08:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17863,/competitions/rossmann-store-sales,38th
/danieldias,Fully Loaded Trip,Not a single trip that my algorithm generates is fully loaded (initial weight = 1010). Is anyone also observing this behaviour? I wonder if this should be avoided.,1,bronze,3,Mon Dec 14 2015 00:20:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17864,/competitions/santas-stolen-sleigh,11th
/gospursgo,How to check those uploaded models of the winners?,"The private leader boards of those finished competitions indicate that winners models are uploaded, but I can't find any links. Is there a way we can get access to those models? Thanks",0,None,2,Mon Dec 14 2015 00:30:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17865,None,None
/datacanary,How Does New Competition Affect Sales?,"Your last two graphs are striking! I wonder how the effect size compares to the usual number of customers per day. Judging from the scale on the earlier charts, I'm guessing it's a drop of about 3 to 5 percent?",0,None,2,Mon Dec 14 2015 07:30:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17869,None,None
/,,,0,None,6,Mon Dec 14 2015 11:18:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17871,None,None
/kakauandme,TensorFlow support,"Submited a TesnorFlow script and got this error: We don't have the ""tensorflow"" module. Are we missing out? Use the feedback link above to let us know. Are you guys planning to add TensorFlow support? sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.6.0-cp34-none-linux_x86_64.whl copy pretty please",1,None,4,Mon Dec 14 2015 12:23:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17873,None,None
/luigiassenza,Submission error,I'm experiencing a submission error despite my csv file has exactly the same structure (number and name of columns) as requested. Does anyone know how to solve it? Many thanks. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101149/3411/Subbission error.jpg,0,None,1,Mon Dec 14 2015 13:08:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17874,/competitions/walmart-recruiting-trip-type-classification,None
/dimkadimon,same scores,"I wonder why so many people got the same scores? These scores are pretty good, so perhaps people are using FICO? 12511576968.96910, 12513695098.22220, 12529591411.36830, 12550429794.74410, 12630694130.00390, 12633313584.84360, 12634797376.13670.",1,bronze,12,Mon Dec 14 2015 13:19:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17875,/competitions/santas-stolen-sleigh,87th
/daskalidi,I have a question,"I have a question What does it mean: ""solely"" in the Xpress Prize terms? If we build a model, based on Fico Analytic Cloud tools, incrementally improving open-scripts performance, can this decision be awarded? Thank you.",2,bronze,1,Mon Dec 14 2015 13:30:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17876,/competitions/santas-stolen-sleigh,284th
/jaytes,Challenge and Interesting point: GLM to model Titanic data using Poission rather Binomial,"I have a professor who made a very good point about the titanic analysis during a lecture this week. He argued that it is also possible to have a model of titanic data (GLM) using poisson rather than the typical Binomial approach. I am curious to know people view about it. His focus was on Research Question: What characteristic of passengers survived more than others. -(i) The examination of how survival of the passengers relates to their age, sex and passenger requires the use rate=Survived/passenger. I initially thought that this would be binomial rather than poisson. Each event either does or does not happen. There are no multiple events. However, the lecturer argued about the count data structure. I would really appreciate whether someone could explain why Poisson would work as well.",0,None,1,Mon Dec 14 2015 13:41:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17877,/competitions/titanic,None
/wolod11,suspicious_edges мини баг,"Коллеги, будьте аккуратны в файле suspicious_edges - есть маленький баг. Даны колонки id,i,j - но на самом деле колонка j это 'j ' т.е. с пробелом и потом перенос. Поэтому если тупо загрузить g5_target = pd.read_csv(""./data/suspicious_edges.csv""); То обратиться g5_target.j или g5_target.['j'] не выйдет. Поэтому перед работой или удалите у себя пробельчик или обращайтесь вот так g5_target['j '] Это не ахти какой баг, но просто чтоб время не теряли.",1,bronze,6,Mon Dec 14 2015 14:08:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17878,/competitions/msuedges,29th
/shavitamit,XGB_stop,How long did it take you to run this script?,0,None,35,Mon Dec 14 2015 14:51:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17879,None,None
/wcukierski,Welcome!,"On behalf of Booz Allen Hamilton, the National Heart, Lung, and Blood Institute, NVIDIA, and Kaggle, welcome to the Second Annual Data Science Bowl! In store for you is a fascinating medical imaging problem on an unprecedented data set. The Booz Allen team has prepared some very helpful material to get you comfortable with cardiac MRIs. There is an [Link]:https://youtu.be/dFu_5T0ODrM, two tutorials (one using deep learning), and even more at [Link]:http://www.datasciencebowl.com/. Welcome, and good luck!",6,bronze,11,Mon Dec 14 2015 15:22:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17880,/competitions/second-annual-data-science-bowl,None
/hewhew,I don't get this yet..,"Can someone clarify this… the evaluation score for a solution is the sum of all the trip's WRW? So for the sample submission which a score of 144525525772.40200, that's the total WRW of all 5000 trips in the solution. I having a bit of trouble figuring out why I cannot get the right score. In my model I'm getting something like 144523963531.804810. Can someone quickly tell me for a trip 0 (see sequence below) in the sample submission, what kind of WRW are you getting? 1 5001 10001 15001 20001 25001 30001 35001 40001 45001 50001 55001 60001 65001 70001 75001 80001 85001 90001 95001",0,None,5,Mon Dec 14 2015 16:07:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17881,/competitions/santas-stolen-sleigh,123rd
/thakurrajanand,Beat the Benchmark - 0.48785,[Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101185/3412/benchmark.R,2,bronze,1,Mon Dec 14 2015 17:41:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17883,/competitions/second-annual-data-science-bowl,None
/udibr1,External Sources,"The Deep Learning tutorial is using an external data source, Sunnybrook dataset. Is this data source allowed in the competition?",1,bronze,1,Mon Dec 14 2015 19:07:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17884,/competitions/second-annual-data-science-bowl,19th
/mikeskim,Frequently Asked Questions,"Q: Can you explain topic X that requires subject matter expertise? A: Dr. Hansen has answered various questions regarding medical imaging and the dataset here: [Link]:https://www.kaggle.com/michaelhansen/forum Q: Can you explain what each file name means and how the files are related to each other? A: The file naming convention is explained here: [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18257/basic-understanding-of-sax-2ch-4ch Q: The Deep Learning tutorial is using an external data source, Sunnybrook dataset. Is this data source allowed in the competition? A: Use of external data is not permitted, with the exception of the The Sunnybrook Cardiac Data (SCD). source: [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/rules This means you may not pre-train models on datasets that are outside Kaggle DSB and Sunnybrook. You may, however, simulate original datasets via code if you wish. However, pretrained networks (even with an open license) are not allowed. Q: I'm having trouble downloading the dataset. What are some good ways to download the data? A: Try using a download manager such as: [Link]:https://addons.mozilla.org/en-US/firefox/addon/downthemall/developers Or try using wget with cookies from the terminal: [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/6604/downloading-data-via-command-line [Link]:https://www.kaggle.com/c/belkin-energy-disaggregation-competition/forums/t/5118/downloading-data-via-wget/96790 [Link]:https://www.kaggle.com/c/malware-classification/forums/t/12407/anyone-managed-to-use-wget-from-a-google-login/63584 [Link]:https://www.kaggle.com/c/diabetic-retinopathy-detection/forums/t/15313/downloading-data/85858 Q: Can Booz Allen Hamilton employees compete in the DSB? A: Booz Allen Hamilton employees are not eligible to win any prize money. They, however, are free to compete for Kaggle points. A few employees, such as myself, are not allowed to compete, and act as hosts. Q: Can I use language/software/package/library X for the DSB? A: I'm making the call on this. You can use what you want. However, if a key component of your winning (top 3) model uses anything that is closed source (that lacks an open source alternative), that portion must be rewritten in an open language. This is to prevent black boxes that magically solve the DSB. A closed magic box, even if it solves the problem, is not useful to the sponsors or the broader community. We want to be able to replicate your approximate results using open source tools if necessary. Q: Can I use meta data associated with folders names and DICOM files? A: Yes but we can't confirm whether these features will be useful in the final private leaderboard scoring. This thread provides useful information on the DICOM files: [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/17906/other-dicom-aware-tools I will keep updating this, with the help of the other admins, as new questions come in.",6,silver,24,Mon Dec 14 2015 19:32:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17885,/competitions/second-annual-data-science-bowl,None
/icedragon,Expectation of 10$,There are ~3500 Teams and prizes are 35000 $ so the expectation for a random participant is 10$. Is it worth the pain? ;) Irony off,0,None,10,Mon Dec 14 2015 19:42:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17886,/competitions/rossmann-store-sales,364th
/krishna051295,optimize kmeans (parameters altering),how to optimize the parameters in kmeans ?that is how should we alter the parameters(increse or dec in value)so as to improve the accuracy…and if someone wants to join my team ping me @ [Link]:mailto:krishna051295@gmail.com,0,None,2,Mon Dec 14 2015 19:48:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17887,/competitions/santas-stolen-sleigh,875th
/jturkewitz,Prediction of Winning Private LB Score,"I'm curious as to what people think the winning prvate lb score will be, I think it will be ~0.094 by one of the current top 4 teams.",0,None,13,Mon Dec 14 2015 23:07:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17891,/competitions/rossmann-store-sales,46th
/ahfretheim,Good data or previous competitions on homelessness,"I was wondering if anyone here knows of a good data source, preferably anonymized records of individual cases, related to homelessness to analyze and mine? I thought it would be interesting to study the data to find the real indicators of homelessness and from those likely causes. Also, have there been any Kaggle competitions in the past related to homelessness I could maybe reference the results of?",0,None,3,Mon Dec 14 2015 23:34:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17892,None,None
/jacobtimp,Can I Join a Team?,"Are there any current teams that I can join? If not, would anybody be interested in starting a team?",0,None,25,Tue Dec 15 2015 00:28:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17893,/competitions/second-annual-data-science-bowl,None
/niranjanmudhiraj,congratulations to winners,it's a nice competition with great players.Thanks everyone.,7,silver,26,Tue Dec 15 2015 01:00:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17895,/competitions/rossmann-store-sales,625th
/malzantot,Share your solution,"Hi, Thanks everyone for playing too hard, the competition was a lot of fun and I hope you enjoyed it too. I am pretty interested in hearing about what approaches did you try to solve this problem: I have been using two models : xgboost and MLP with one hidden layer. Their scores on the public leaderboad were: 0.10919 (for xgboost) and 0.11031 (for MLP), and using gemoetric mean to ensemble the results leads to 0.10240 putting me near to 290th in the public leaderboad. However, my score on the private leaderboard much lower (0.12221 putting me at 1222 th). I was using python xgboost and Keras for the MLP. I am looking forward to hear about your approaches too. Thanks, Moustafa",23,bronze,104,Tue Dec 15 2015 01:30:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17896,/competitions/rossmann-store-sales,1143rd
/tjames,Error received on upload - missing rows above 173836?,Can any one tell me why I might be receiving this error? ERROR: Unable to find 104266 required key values in the 'QuoteNumber' column ERROR: Unable to find the required key value '173838' in the 'QuoteNumber' column ERROR: Unable to find the required key value '173841' in the …. I'm submitting the classifications on the test file with 173836 rows not including the header file. Why would the system be looking for rows in the test set that are not there? Thanks!,0,None,1,Tue Dec 15 2015 01:41:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17897,/competitions/homesite-quote-conversion,1441st
/breakfastpirate,Leaderboard shakeup,Competition Shake-up Shake-up (Top 10%) See Click Predict Fix 0.004 0.005 Genentech 0.006 0.000 Walmart 0.007 0.006 Yelp 0.007 0.007 Greek Media 0.009 0.008 Heritage Health 0.012 0.015 Springleaf 0.012 0.008 Avito 0.013 0.009 Expedia 0.013 0.001 Dato 0.014 0.003 Caterpillar Tube 0.015 0.010 Deloitte 0.016 0.027 Amazon 0.016 0.012 Upenn Seizure 0.019 0.019 Acquire Valued Shoppers 0.023 0.011 Higgs Boson 0.033 0.050 PAKDD Asus 0.036 0.016 Coupon Purchase 0.036 0.028 Flavours of Physics 0.038 0.013 Rossman 0.044 0.041 Loan Default (Imperial) 0.065 0.012 Liberty Mutual 0.073 0.077 Allstate 0.076 0.023 DonorsChoose.org 0.078 0.066 Decoding Human Brain 0.092 0.101 Stumbleupon 0.095 0.184 MLSP2014 Schizophrenia 0.240 0.385 Big Data Combine 0.300 0.592,7,silver,13,Tue Dec 15 2015 01:51:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17898,/competitions/rossmann-store-sales,92nd
/adhamghazali,pre-training on non MRI/medical data,Can we pre-train our models on datasets that are outside the image manifold of the available set. e.g Imagenet?,0,None,4,Tue Dec 15 2015 01:57:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17899,/competitions/second-annual-data-science-bowl,None
/insearch,Private Score for submissions,Hi! Is it possible to get private score for selected submissions or get private LB answers? I've selected two submissions for private LB which are different approaches and still wondering what worked best?,1,bronze,5,Tue Dec 15 2015 02:02:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17900,/competitions/rossmann-store-sales,436th
/nimashahbazi,Private LB!,What a competition! private LB shocked me! 4th place in public LB goes ↓1479 down!!,7,silver,9,Tue Dec 15 2015 02:05:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17901,/competitions/rossmann-store-sales,2nd
/inversion,Visualizing Data in Tableau,"I made a [Link]:https://public.tableau.com/profile/inversion#!/vizhome/Book6_625/Sheet1 to help visualize the data. Thought I'd share. The points of interest, red arrows from left to right: Green tips = Paydays Light red = Off-payday weeks / days Dark Green = OOF predictions Yellow = Public test predictions Dark Red = Private test predictions Note also there is a slider in the upper right to cycle through stores. (Only stores seen in the Test data are shown.) [Image]:http://i.imgur.com/gNzwj23.png",9,silver,6,Tue Dec 15 2015 02:48:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17902,/competitions/rossmann-store-sales,38th
/nthanhtam,Share submission,I think it is fun to test our submissions after the deadline so I am sharing my submission. Please blend it with your submissions :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101339/3415/sub7.csv.0.09785,2,bronze,1,Tue Dec 15 2015 03:24:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17904,/competitions/rossmann-store-sales,37th
/phl1510,xgboost ensemble question,"When I use xgboost model with all features, the public score is 0.706. Then I set the ""colsample_bytree"" = 0.1, running 18 times and ensemble them. The result of public score is improved to 0.684. But when I run 140 times and ensemble them, the result of public score is only 0.883. I know the public score is only 30% of the test set, so I want to know that is there any problem of the idea above?",0,None,4,Tue Dec 15 2015 03:30:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17905,/competitions/walmart-recruiting-trip-type-classification,206th
/yetiman,Other DICOM-aware tools...,"In addition to the tools/libraries/modules mentioned in the documentation: [Link]:http://www.imagemagick.org/script/index.php - Can convert DICOM to many other formats, apply necessary and/or convenient colorspace transformations (etc.), as well as dump out discrete DICOM-related fields (via ""identify -verbose somefile.dcm""). It can also be used to do batch conversions. I've used it in the past to convert DICOM images/slices to formats more easily read as ""data"" (such as 8-bit non-raw PGM).",2,bronze,7,Tue Dec 15 2015 04:49:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17906,/competitions/second-annual-data-science-bowl,None
/enbyly,Understanding XGBoost Model on Otto Data,"Hi, thanks for the tutorial. I have run this code, but when I try to use predict(bst, testMatrix), I get a result that is far too long. I do not understand how to make the submission file, or in other words how to predict the response variable. Thanks for any help.",0,None,16,Tue Dec 15 2015 04:57:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17908,None,None
/tdevries,Neural Network Example,I had to reduce the number of hidden units in order to make the model compute within the time constraint so right now it only gets 0.57547 on the leaderboard. You can improve the score to 0.62-0.63 by increasing the number of units in each hidden layer.,1,bronze,20,Tue Dec 15 2015 05:26:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17909,None,None
/ushakota,Is DeepLearning knowledge a pre-requisite to the competetion?,"Hi Wanted to check if a working knowledge of Deep Learning is pre-requisite to the participation in this competition? Not sure if I missed out reading on the pre-requisites, if posted on the competition's home :) Thanks again.",0,None,3,Tue Dec 15 2015 06:46:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17910,/competitions/second-annual-data-science-bowl,None
/utah777,What worked and what did not in this competition?,"As competition is over, would you please share what worked and what did not in modeling Rossman Sales? Things that worked for me: XGBoost Scaling down predictions by a factor to account for asymmetry in RMSPE. Ensembling different XGBoost models: very simple XGBoost with about 15 features, XGBost for single store, XGBoost with already predicted sales (by another model) as a metafeature. Ensemble was cross-validated on last 45 days in train set. Feature engineering. The most useful achievement here was substituting (dropping) Store number with [Link]:https://www.kaggle.com/c/rossmann-store-sales/forums/t/17559/clustering-stores-to-get-better-predictors/99469#post99469 (i.e. basically clustering stores by sales). Data cleaning (dropping about 100 cases) Things that did not work quite as I expected: Feature engineering. Even though I put feature engineering in the list ""what worked"", many features I engineered (e.g. Sales by the same store by month/week of year/ day of week) did not quite improve my results ). So, my feeling that impact of feature engineering on final score, though material, was much less than that of scaling and ensembling different models. What were your findings for modeling time series with XGBoost from this competition?",7,silver,7,Tue Dec 15 2015 07:19:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17912,/competitions/rossmann-store-sales,80th
/insearch,How to cross validate,I found cross validation process pretty challenging in this competition. I've used Jul 2015 to validate model built on previous data. However some submission which shown low error score on validation data shown pure results on both public and private LB. How do you approach that?,0,None,6,Tue Dec 15 2015 07:59:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17913,/competitions/rossmann-store-sales,436th
/sterby,How to prevent a messed up leaderboard in the end?,"After the end of the Rossmann Store Sales challenge it appears, that alot of people badly overfit the public LB. So there are changes from top 10 to 1200 or something. So how can one prevent this in this challenge where a change of 0.00001 can make a huge difference? Or will this challenge end totally random?",0,None,6,Tue Dec 15 2015 08:07:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17914,/competitions/homesite-quote-conversion,81st
/santiagomota,Stores ubication,Now the competition is finish it would be great if the admins could publish the region of the stores. So some of us using some kind of external local data (like weather) could test our assignations. Thanks,1,bronze,4,Tue Dec 15 2015 09:17:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17916,/competitions/rossmann-store-sales,855th
/lenguyenthedat,Simple way to overfit yourself.,"Simply do this to your submission file, and watch how much it overfit your public Leaderboard. I jumped from 0.10044 to 0.09869 (around 60-70 positions) on the Public Leaderboard with this, but on the private Leaderboard it was from 0.11421 to 0.11504. Probably not a good idea to do this for this type of competition - lesson learned :). PS: we could've been in top 10 or at least top 15 if we did not do this. import pandas as pd import time import csv import numpy as np import os import sys result = sys.argv[1] submission = pd.read_csv(result) store = pd.read_csv('./data/store.csv') test_org = pd.read_csv('./data/test.csv',dtype={'StateHoliday':pd.np.string_}) test = pd.merge(test_org,store, on='Store', how='left') submission = pd.merge(submission,test, on='Id', how='left') # add x% growth rate into all sales predicted def fix_growth_storetype(row): if row['StoreType'] == 'a': return row['Sales']*0.99 elif row['StoreType'] == 'b': return row['Sales'] elif row['StoreType'] == 'c': return row['Sales']*0.99 else: #d return row['Sales']*0.99 submission['Sales'] = submission.apply(fix_growth_storetype, axis=1) def fix_growth_assortment(row): if row['Assortment'] == 'a': return row['Sales'] elif row['Assortment'] == 'b': return row['Sales'] elif row['Assortment'] == 'c': return row['Sales']*1.005 else: #d return row['Sales'] submission['Sales'] = submission.apply(fix_growth_assortment, axis=1) def fix_growth_promo(row): if row['Promo'] == 1: return row['Sales']*0.985 else: return row['Sales']*1.015 submission['Sales'] = submission.apply(fix_growth_promo, axis=1) submission[['Id','Sales']].to_csv(result + ""-fixed.csv"", index=False) copy",3,bronze,1,Tue Dec 15 2015 10:10:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17917,/competitions/rossmann-store-sales,40th
/pappukrjha,import nltk producing error in Kaggle script,"Anyone there, who is facing this problem? LookupError: Resource 'corpora/wordnet' not found. Please use the NLTK Downloader to obtain the resource: >>> nltk.download() Searched in: - '/nltk_data' - '/usr/share/nltk_data' - '/usr/local/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/local/lib/nltk_data'",0,None,3,Tue Dec 15 2015 11:42:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17918,/competitions/whats-cooking,309th
/inversion,Efficiently Calculating Lags,"Sales lags were an obviously important feature. This is how we calculated them in pandas, which was quick and efficient. Step 1 - Make a master index that is a repeating pattern of all all dates and all store IDs. # Bracket the dates max_date = test['Date'].max() # 2015-09-17 min_date = train['Date'].min() # 2013-01-01 days = (max_date - min_date).days + 1 # 990 # Master list of dates dates = [min_date + datetime.timedelta(days=x) for x in range(days)] dates.sort(reverse=True) # Master list of stores unique_stores = list(set(train['Store'].unique()) | set(test['Store'].unique())) unique_stores.sort() num_unique_stores = len(unique_stores) # Unique Date / Store index date_index = np.repeat(dates, num_unique_stores) # num dates * num stores store_index = np.concatenate([unique_stores]*days) row_count = days * len(unique_stores) train_test_master = pd.DataFrame(index=range(row_count), columns=all_cols) train_test_master['Date'] = date_index train_test_master['Store'] = store_index # Set the indexes (makes it easy to insert test/train data into master) train_test_master.set_index(['Date', 'Store'], drop=True, inplace=True) train.set_index(['Date', 'Store'], drop=True, inplace=True) test.set_index(['Date', 'Store'], drop=True, inplace=True) # Update the master index with train and test train_test_master.update(train) train_test_master.update(test) copy Step 2 - Use Pandas shift method to create lag features # 1 day lag train_test_master['lag_1'] = train_test_master['Sales'].shift(-1*NUM_STORES).fillna(NULL_VALUE) # 1 week lag train_test_master['lag_7'] = train_test_master['Sales'].shift(-7*NUM_STORES).fillna(NULL_VALUE) copy",14,silver,15,Tue Dec 15 2015 12:31:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17919,/competitions/rossmann-store-sales,38th
/danieldias,Optimal Number of Trips,"Does anyone have an estimative of around how many trips should be a good solution? My algorithm have no constraint around this, and I am getting 1682 trips on my best solution so far (12.462B). I came across this thought because usually, vehicle routing problems have a constraint in the number of vehicles. So to adapt an existing algorithm for the challenge, we may have to hard set the number of trips, or experiment with many number of trips.",0,None,24,Tue Dec 15 2015 14:40:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17920,/competitions/santas-stolen-sleigh,11th
/abileah,Physics based unsupervised whale detector,"Physics based unsupervised whale detector Here is a small contribution to discussion on automated whale detection. Earlier posting on this topic included Lam Dang using R/B and R/G, and eduardofv using HSV histogram. Both are attempting to exploit the three color camera as a poor-man’s multi-spectral camera. I do also…. I start with some basic physics. The animal skin reflects red more than blue and green. Furthermore, the animal blocks blue and green upwelling radiance, which leads to a deficit of blue and green in pixels with animal below – and that makes animal pixel still redder. Here are two papers for background, math, and further insights. Dennis Silva and Ron Abileah, Two Algorithms For Removing Ocean Surface Clutter in Multispectral and Hyperspectral Images. 1999. Download pdf from here: [Link]:http://www.watercolumncorrection.com/documents/SilvaandAbileah1999_TWO_ALGORITHMS_FOR_REMOVING_OCEAN_SURFACE_CLUTTER.pdf Ron Abileah, Marine mammal census using space satellite imagery. U.S. Navy Journal of Underwater Acoustics 52 (3) July 2002. Download pdf from here: [Link]:http://abileah.com/DigitalOcean/Publications/Password_protected_publications/Abileah%202005%20JUA%20paper%20-%20marine%20mammals.pdf The algorithm is: (1) compute a likelihood score based on blue and green deficit in each pixel; (2) threshold into b&w; (3) cluster b&w regions with Matlab regionprops function; (4) find region with largest Area; (5) Use regionpropos properties major/minor axes, centroid, and orientation to draw an ellipse around the animal. In attachments are half dozen examples. So far I have run the algorithm on about 100 images. Success rate is 99%. (One miss was a fluke, case No. 284, included in attachments) with trash and surfactants floating on ocean surface. This would have blocked upwelling radiance just as a whale would.) The earlier posts with R/B and HSV histograms are probably getting at the same physics indirectly. My approach is more rigorous but not necessarily better. If any team wishes to incorporate this approach… go for it. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101462/3421/284 w 10251.0001.300.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101462/3422/339 w 10300.0001.300.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101462/3423/335 w 10298.0001.300.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101462/3424/352 w 10312.0001.300.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101462/3425/349 w 1031.0001.300.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101462/3426/360 w 1032.0001.300.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101462/3427/358 w 10318.0001.300.jpg",6,silver,4,Tue Dec 15 2015 15:15:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17921,/competitions/noaa-right-whale-recognition,266th
/ys19931006,Find something interesting,I don't know whats going on here [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101464/3428/console.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101464/3429/cd.png,0,None,3,Tue Dec 15 2015 15:24:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17922,/competitions/walmart-recruiting-trip-type-classification,163rd
/krishna051295,Team,,0,None,1,Tue Dec 15 2015 15:55:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17923,/competitions/telstra-recruiting-network,None
/suriya,How to go about testing?,"The test set, has multiple entries of 1,2,. and so on. How to deal will those kind of multiple ids. How is the actual training and testing done? I am confused?",1,None,4,Tue Dec 15 2015 15:56:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17924,/competitions/walmart-recruiting-trip-type-classification,680th
/mlegner,Problems with evaluation description,"Thank you very much for hosting this interesting competition! I think there is a small problem with the [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/details/evaluation: Firstly, it might be clearer if the formula was written as C=1600NN∑m=1599∑n=0(P(y≤n)−H(n−Vm))2, i.e., explicitly writing the sum over m. Secondly, this score is not equal to the area in the given figure. This would be the case if the summand was |P(y≤n)−H(n−Vm)|. Due to the square it is rather the volume of the shape you obtain when rotating the two areas around y=0 and y=1, respectively. This is not easy to visualize such that it might make sense to drop the (slightly misleading) figure altogether. Cheers, ML",6,silver,4,Tue Dec 15 2015 17:13:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17926,/competitions/second-annual-data-science-bowl,None
/johnnystrings,xgb softmax kappa,"I added this as an example of training using the same Quadratic Weighted Kappa parameter that the leaderboard is using. I haven't had time to do a good parameter sweep or even get it's metrics to agree well with what it gets on the leaderboard, but it's a start.",0,None,3,Tue Dec 15 2015 18:25:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17927,None,None
/udibr1,beat the benchmark - 0.042738,"import pandas as pd import numpy as np train = pd.read_csv('train.csv') def doHist(data): h = np.zeros(600) for j in np.ceil(data.values).astype(int): h[j:] += 1 h /= len(data) return h hSystole = doHist(train.Systole) hDiastole = doHist(train.Diastole) sub = pd.read_csv('sample_submission_validate.csv', index_col='Id') N = len(sub)//2 X = np.zeros((2N,600)) for i in range(N): X[2i,:] = hDiastole X[2*i+1,:] = hSystole sub[sub.columns] = X sub.to_csv('submission.csv')",17,gold,3,Tue Dec 15 2015 19:06:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17928,/competitions/second-annual-data-science-bowl,19th
/jianminsun,Deep Learning Tutorial is dissapointing ,"I went through the deep learning tutorial, but LB score(LB:0.134308) is disappointing. Did I miss something? Anyone got a similar score of it?",0,None,17,Tue Dec 15 2015 19:07:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17929,/competitions/second-annual-data-science-bowl,None
/justfor,Change in Kaggle Script? Missing NLTK,"Hi, as far as I understood it, the python installation for Kaggle Scripts was changed recently from Anaconda 3.5 to Anaconda 3.4. During this change corpora/wordnet was not downloaded again. See the below quoted error message. Is it possible to download this , so that it can be used within Kaggle Scripts again? Thank you, Justfor ""Resource 'corpora/wordnet' not found. Please use the NLTK Downloader to obtain the resource: >>> nltk.download() Searched in: - '/nltk_data' - '/usr/share/nltk_data' - '/usr/local/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/local/lib/nltk_data'""",0,None,1,Tue Dec 15 2015 20:45:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17930,None,None
/mikhail123, Baseline solutions (glove and IR),"Hi all, We developed simple baseline solutions for this competition to start with. We would like to make it open for everyone. You can find the code here: [Link]:https://github.com/5vision/kaggle_allen 1) Glove based part: The already computed wiki glove word2vec is used co calculate cosine similaruty of questions and answers. Scores are around 0.31875. 2) IR based part: The ideas of retrivieng ck12 topics from wiki from Junwei Pan github are used. Scores are around 0.35375.",16,silver,5,Tue Dec 15 2015 22:03:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17932,/competitions/the-allen-ai-science-challenge,8th
/jilllin,Healthcare Professionals excluded from competition,"Please find below the clarification on how ""Healthcare Professionals"" is defined: Any and all healthcare professionals are prohibited from participating in the competition. Here is a guide for what would be considered a healthcare professional. Any member of the medical, pharmacy, lab or nursing professions licensed to practice or any other person who, in the course of his/her professional activities, may prescribe, recommend, influence the use of, purchase, order, supply, use, administer, sell or lease any Genentech or Roche product or any product reimbursed by a government healthcare program.",3,bronze,5,Tue Dec 15 2015 22:07:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17933,/competitions/cervical-cancer-screening,None
/leiboldm,Where did 126 teams go?,"Just before the competition closed, there were 3,429 teams that had made submissions. Now the leaderboard only has 3,303 teams . I'm particularly curious because I was a member of one of those teams that vanished from the leaderboard for no obvious reason. My team, Michigan445, was scoring 0.10313 on the public leaderboard before the competition closed, but now I can't find us anywhere. My only theory is that we were removed because we didn't select any final submissions, but according to the FAQ, Kaggle should have selected our 2 best submissions for us. Can anybody provide insight into why my team no longer exists?",1,None,9,Tue Dec 15 2015 22:41:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17935,/competitions/rossmann-store-sales,None
/lawrenceliu2,Should we always predict 5 destinations for each user?,"As stated in the evaluation method: For each new user, you are to make a maximum of 5 predictions on the country of the first booking. I can't think of any reason that we should predict less than 5 destinations. Is it because of IDCG as a denominator? However, in our case, relevance is either 1 or 0 and only 1 predicted destination would have relevance 1 for each user, so IDCG should be constant no matter we predict 3 destinations or 5 destinations. Any comment is welcomed.",1,bronze,4,Tue Dec 15 2015 23:08:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17936,/competitions/airbnb-recruiting-new-user-bookings,1145th
/wouterd1,Boundary detection,i am downloading the training set on a (very slow) connection. While already thinking about potential approaches while awaiting for the data - I was wondering whether the contours of the left ventricle chamber (the green and red circles in the tutoral video) are already coded / labelled into the image files - or whether this should be extracted by the teams in an unsupervised manner?,0,None,1,Tue Dec 15 2015 23:25:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17937,/competitions/second-annual-data-science-bowl,64th
/annavictoria,Interactive map,"I love the interaction with this graph (and the moneybag icons :) I'm surprised to see median debt at many private universities is similar to public ones. (For example, the University of Chicago = $18,625 vs. University of California Berkeley = $14,667.)",1,bronze,2,Wed Dec 16 2015 01:25:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17939,None,None
/matlab,CS229 Rossmann Reports,There are quite a few reports on this contest at [Link]:http://cs229.stanford.edu/projects2015.html,5,silver,1,Wed Dec 16 2015 01:49:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17941,/competitions/rossmann-store-sales,238th
/inshique,fancyRpartPlot diagram meaning,Could someone please help interpret the numbers on top of the box and also the first numbers (0s and 1s) inside the box? How does fancyRpartPlot determine which number to assign? Thank you! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101596/3433/Screen Shot 2015-12-15 at 5.23.13 PM.png,0,None,2,Wed Dec 16 2015 02:26:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17942,/competitions/titanic,None
/chechir,Features predictibility,"Hi all, I wanted to share this basic script. It simply does an independent linear regression for each feature without any transformation, and sort the results according the RMSE obtained. I'm starting on this competition and wanted to take a different aproach: rather that start firing xgb right away, now I'll try to get some insights first.",1,bronze,9,Wed Dec 16 2015 03:18:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17943,None,None
/halfwit,Is it OK to share scripts or not?,"Sharing source or executable code developed in connection with or based upon the Data is not permitted, and any such sharing is a breach of these Official Rules and may result in disqualification in the sole discretion of Sponsor. However, Participants are permitted to publicly share ideas, methodologies, theories, philosophies, strategies, and other qualitative knowledge sets (“Ideas”) for the purpose of developing or helping others develop and optimize models as typically accustomed with crowd-sourced innovation. To the extent any of your shared Ideas are used or embedded in a winning Entry, you agree that by sharing the Idea, you have waived all rights to the Idea and acknowledge that you are not entitled to any award or compensation by Sponsor. [Link]:https://www.kaggle.com/c/prudential-life-insurance-assessment/rules",0,None,2,Wed Dec 16 2015 03:56:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17944,/competitions/prudential-life-insurance-assessment,1631st
/vishnumani2009,Merging Files,"Is ""id"" field just a key to connect different csv files? if so In train.csv we have : 1,location 601,1 In event.csv we have : 1,event_type 11 and 1,event_type 13 In severity.csv we have : 1,severity_type 1 Does this mean that location 601 had fault_severity 1 due to events_type 11 and 13 ,severity_type 1? when combined we should be getting like this id,location,fault_severity,event_type1,event_type2,..,severity_type 1,location 601,1,event_type 11,event_type 13,severity_type 13",4,bronze,4,Wed Dec 16 2015 04:57:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17945,/competitions/telstra-recruiting-network,None
/am1to2,Anyone wanna team up?,"Hi Everyone, I wanted to team up with someone to work on this competition. I'm looking for someone in the same time zone as I'm - West Coast. South the bay area would be perfect. My email is : amrsfmt@yahoo.com. -Amr",0,None,2,Wed Dec 16 2015 06:20:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17948,/competitions/the-winton-stock-market-challenge,None
/am1to2,Weights and the Leaderboard,"Hi Everyone, It's a little bit confusing for me to understand the use of the Weights in this competition. (Weight_Intraday, Weight_Daily). I have read the evaluation page of the competition but it's still confusing for me for the following reasons: 1- When you know the weights, it would tell you which error ""Intraday/daily/which Id"" would contribute more to the over all error. 2- But now since, we don't know the weights in the test data set, our goal become try to minimize the prediction error in general regardless of the weight: sum(abs(yi - yhati))/n. Reason why, is that we don't know which prediction would contribute more to overall prediction error. All are treated equally. But if test data set have the weights, we would put our focus on the prediction errors that contribute more to the overall error. Would someone please clarify? -Amr",2,bronze,3,Wed Dec 16 2015 07:19:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17950,/competitions/the-winton-stock-market-challenge,None
/iamknagesh,How to delete my own post?,"I have accidentally posted the same comment twice in a forum, is there any way to delete one of them? Sorry for the simple question but I couldn't find a way to delete it. Thanks.",11,bronze,1,Wed Dec 16 2015 08:28:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17951,None,None
/venlee,About Kaggle Payment Schedule,"""3-30 days from returning ALL materials - The prize payment will be transferred, and the competition finalized with a Winners Page announcing your achievement."" That means If Competetion ended on Dec 16 and if the winner of that competition Submitted everything by Dec 26. Then what will be the Prize payment date ?",0,None,2,Wed Dec 16 2015 08:40:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17952,None,None
/curious007,Could anyone share their Random Forest approach?,Hi I recently started reading up on random forests and was wondering if it will be useful in this problem. Could you share your approach where you used random forests? It would be a great help if you could share your code too. Thanks,0,None,1,Wed Dec 16 2015 09:24:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17953,/competitions/rossmann-store-sales,None
/fwagner,Question : Data insight,"Hi, to get familiar with the data I have some question. [Link]:http://hustlebomber.net/kaggle/prudential/hist_products.jpeg The Product 1, 5,6 & 7 seems to be binary this means to me, “take it or leave it”. Product 2,3 & 4 are more or less continues this could point to extended benefits, am I right ? 7 Products are listed, Response has a range form 1 – 8, this could mean to me (e.g.) nr. 8 is the value for a rejected application. ( If its not nr. 8 which one points to a rejected application, if these are in the data set) [Link]:http://hustlebomber.net/kaggle/prudential/wt_bmi.jpeg The Picture Weight over BMI shows some unnatural behaviour at BMI == The marked red values seems to me, that values are cut off and/or are down sampled - what happened here ? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101656/3436/hist_products.jpeg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101656/3437/wt_bmi.jpeg",4,bronze,7,Wed Dec 16 2015 10:51:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17954,/competitions/prudential-life-insurance-assessment,1730th
/maxwang7,Information on directory structure and naming,"I would appreciate some clarification on the naming of the directories/images we are given. Once I've extracted train.zip, I understand that each individual sample is located in its own directory (1, 2, …, 500). Inside the 'study' directory of each of these samples there are several directories, I'm assuming from different angles/perspectives. My specific questions are: What does #ch_# mean? For example with 'train/1/study/2ch_21', what do the '2', 'ch', and '21' indicate? We have been told that images prefixed with 'sax_' are short axis cine images, but what do the suffixes to each of the directories mean? For example with 'train/1/study/sax_5', what does the '5' indicate? For the images in each of these directories, are we guaranteed to have 30 images? And do these 30 images always represent one heart beat or may they represent many heart beats? For example, 'train/1/study/sax_5/' has 30 images -- do all similar directories have 30 images and are they over an entire heart beat?",13,gold,10,Wed Dec 16 2015 12:44:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17955,/competitions/second-annual-data-science-bowl,None
/pauljurczak,Public Leaderboard glitch.,"I made my second test submission, which was better than the first one and I've got this glitch (see scoring issue before.png). Only after refreshing the page, it got corrected (see scoring issue after.png). I tried to embed the images, but it didn't work. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101687/3438/scoring issue before.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101687/3439/scoring issue after.png",0,None,1,Wed Dec 16 2015 15:05:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17956,/competitions/second-annual-data-science-bowl,113th
/aliceberthaux,"Create DayOfWeek, DayOfMonth, DayOfYear, HourOfDay columns and convert it to circular ",This might help to have Example : Hour of Day : midnight and 1 am are far away if we keep the hour from 00->23 We change it with the formula : cos(HourOfDay2pi/23) Day Of Year : 1st of jan and 25 of december are quite far away from each other if we keep the Day of year from 1 to 366 We apply the formula : cos(DayOfYear2pi/366) etc… [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101691/3441/DateToCirc.R,0,None,1,Wed Dec 16 2015 15:19:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17957,/competitions/sf-crime,1915th
/pauljurczak,Evaluation formula modification,"In case it is still possible to change evaluation formula, I would like to post the following observation. The top and bottom slices of ventricle are hard to segment, so it is possible to obtain very accurate ejection fraction value based on measuring the contraction of well visible walls of ventricle's midsection, but have a significant error in measuring end-systolic and end-diastolic volumes (biased in the same direction). Since ""both the volumes and the ejection fraction are predictive of heart disease"", why not add ejection fraction component to the scoring formula, which would reward precise EF measurement (e.g. by increasing N to three times number of cases and adding rows with predicted distribution of EF).",1,bronze,1,Wed Dec 16 2015 16:27:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17959,/competitions/second-annual-data-science-bowl,113th
/dotcoming,"help, how do you guys download the data?","As the title says, I wonder how do you download the train.zip and validate.zip data. I failed with wget, and that may have relation with china's gfw. What's more, if I just click the link, it may cost me a week to finish downloading the data. Of course, I am now in china.",1,bronze,15,Wed Dec 16 2015 17:23:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17960,/competitions/second-annual-data-science-bowl,None
/idriss,Issue using xgboost on Python,"Hi! I am new on Kaggle, and I am just writing my first script, but I have an issue with xgboost :/ I just completed the installation, but I have some issues with it. I am using Anaconda 3 and after compiling this code I have an error I don't understand: from xgboost.sklearn import XGBClassifier Traceback (most recent call last): File ""C:\Users\IDRISS\Desktop\Kaggle\AirBnB\test.py"", line 1, in <module> from xgboost.sklearn import XGBClassifier File ""C:\Anaconda3\lib\site-packages\xgboost-0.4-py3.5.egg\xgboost\__init__.py"", line 8, in <module> from .core import DMatrix, Booster File ""C:\Anaconda3\lib\site-packages\xgboost-0.4-py3.5.egg\xgboost\core.py"", line 78, in <module> _LIB = _load_lib() File ""C:\Anaconda3\lib\site-packages\xgboost-0.4-py3.5.egg\xgboost\core.py"", line 72, in _load_lib lib = ctypes.cdll.LoadLibrary(lib_path[0]) File ""C:\Anaconda3\lib\ctypes\__init__.py"", line 425, in LoadLibrary return self._dlltype(name) File ""C:\Anaconda3\lib\ctypes\__init__.py"", line 347, in __init__ self._handle = _dlopen(self._name, mode) [Finished in 2.1s with exit code 1] copy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101727/3442/IPython's result.JPG",1,None,4,Wed Dec 16 2015 19:32:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17961,/competitions/airbnb-recruiting-new-user-bookings,1040th
/adjgiulio,XGB verbosity,Is there a way to reduce XGB verbosity so that I do not have to see each iteration?,0,None,3,Wed Dec 16 2015 19:35:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17962,None,None
/cleerline,is there a script/notebook FAQ?,"Hi, is there a place with answers to the following quick questions? How much memory can a script/notebook use ? (I got an error message that seemed to imply it was 8 gig (!). How much is the maximum time a script can take to run? (I think its 20 minutes - 1200 seconds). are these answers different for different languages/between scripts and notebooks? What sort of hardware are the scripts running on? (ie, what sort of performance can we expect) Importantly, is there a way to stop a script whilst it is running? Thanks, Brilliant site BTW! Cleerline",0,None,3,Wed Dec 16 2015 21:41:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17963,None,None
/zerozero,Can uploaded model package be encrypted?,"just curious. when the time comes to upload software for the final phase, can these be encrypted?",0,None,1,Wed Dec 16 2015 22:43:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17964,/competitions/second-annual-data-science-bowl,None
/udibr1,Optimal submission for Continuous Ranked Probability Score (CRPS),short math on why 0.042738 is the best score you can get without looking at the images [Link]:https://github.com/udibr/DSB2/blob/master/optimal.ipynb,9,silver,12,Thu Dec 17 2015 00:26:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17966,/competitions/second-annual-data-science-bowl,19th
/ingenia,Your experience matters : Understanding Data scientists' data exploration process,"Hello there, My name is Julian Ramos, I'm working with Anind Dey and Stephanie Rosenthal (professors at HCI and SEI at Carnegie Mellon University) on a research project where we are trying to understand better the challenges Data Scientists go through when doing the most common task in any data analysis project: Data exploration. We believe that you, as an experienced data scientist and Kaggler, have very important insights that we would like to gain for our research. It will be great if you could share your thoughts by answering our survey ( [Link]:http://tinyurl.com/cmu-data-science). As a small token of appreciation for your answer we will send you after filling out the survey a $3 amazon gift card. We would really appreciate it if you could share this survey with your colleagues. The survey takes approximately 15 minutes to fill . Best,",2,bronze,4,Thu Dec 17 2015 01:26:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17967,None,None
/antgoldbloom,What was mentioned most?,"Why does ""lower bound"" get mentioned so much more than ""upper bound""?",1,None,2,Thu Dec 17 2015 02:42:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17968,None,None
/niranjanmudhiraj,how to fix this problem?,"when i run this script(source-code-files/ipython-iJulia/knn_julia_tutorial.ipynb) i am getting this problem, can anyone tell me how to fix this problem, Thanks in Advance. This is the problem output: INFO: Nothing to be done INFO: METADATA is out-of-date — you may not have the latest version of Images INFO: Use Pkg.update() to get the latest versions of your packages INFO: Nothing to be done LoadError: MethodError: getindex has no method matching getindex(::DataFrames.DataFrame, ::ASCIIString) Closest candidates are: getindex(::DataFrames.DataFrame, !Matched::Real, !Matched::Union{Real,Symbol}) getindex{T<:Union{Real,Symbol}}(::DataFrames.DataFrame, !Matched::Real, !Matched::AbstractArray{T<:Union{Real,Symbol},1}) getindex(::DataFrames.DataFrame, !Matched::Real, !Matched::Colon) … while loading In[4], in expression starting on line 46 in read_data at In[4]:16 INFO: METADATA is out-of-date — you may not have the latest version of DataFrames INFO: Use Pkg.update() to get the latest versions of your packages",0,None,4,Thu Dec 17 2015 02:43:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17969,/competitions/street-view-getting-started-with-julia,45th
/yib2irvine,Feature Counts ,"Let us discuss the number of features we are using. I am using 1k features, and i don't know how to create extra features. Does anybody have some new ideas?",0,None,12,Thu Dec 17 2015 03:34:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17970,/competitions/airbnb-recruiting-new-user-bookings,34th
/rdslater,Total Hack Idea (Brainstorm),"I am not a mathematician by trade so a lot of the higher level linear algerbra escapes me and I am having trouble find a good initial idea. I've read up on the problem and have cobbled together an idea I wanted to explore--so i thought I'd present it here. First, in my experiments it seems to me that the initial choice of gift grouping has a huge impact on your results (duh). It seems to me that the way to distribute the gifts has a much larger impact than an optimized route. A lot of the public scripts I have seen dole out gifts into trips, then optimize route. I initially took this route myself and lagged behind in the 1.3-1.4 range (billions or trillions or whatever the leaderboard is at). I could take owl's script and use various sorts/optimizes, but 1.25 was about the limit. But what we aren't doing really is playing with gifts in trips. So in duct tape fashion, I thought about doing a simulated annealin/hill climbing or some sort based on the gift distribution. A 2 opt does pretty well for these sets optimizing path, so the idea goes like this: (WRW--Weighted reigndeer function). Step 1: Make a guess at gift distribution. Optimize Route Step 2: Build an alogorithm to swap gifts between trips Step 3. Apply WRW function to initial guess Step 4. Make a random switch of gifts Step 5. optimize new routes. Step 6. Compare new WRW Step 7. Pick the better of the two solutions Step 8. Repeat Steps 4-8 Crazy? Brilliant? In between? Isn't Step 3 supposed to be profit??",2,bronze,18,Thu Dec 17 2015 03:42:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17971,/competitions/santas-stolen-sleigh,334th
/,,,0,None,1,Thu Dec 17 2015 04:03:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17972,None,None
/mnemaric,Timing of Frames ,"I'm having a hard time answering this myself from looking at visualizations of the data, and was wondering if anybody could chime in. The data description page mentions that ""Each slice is acquired on a separate breath hold. This is important since the registration from slice to slice is expected to be imperfect."" Visually, for a given study, it looks like each series of frames has been captured (or ordered/shifted) such that the nth (say, the 5th) frame of each slice represents an image capture at an ""equivalent time"" with respect to the systole-diastole cadence. Is the description essentially stating that this is not necessarily the case? Does this question make sense? I hope so!",1,bronze,7,Thu Dec 17 2015 10:08:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17980,/competitions/second-annual-data-science-bowl,None
/staesthetics,How to Get the Pixel Value from an Image?,"Hi Fellow kaggler I want to know how to get the pixel value of an image. I have try to look it up via google, but no good result so far For example, I have a picture of a cat, I want to get the value of the pixel wether : 0,256,90,91…..till last pixel. Any information or help is very much appreciated.",0,bronze,4,Thu Dec 17 2015 11:39:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17981,None,None
/abhishek,Pretrained networks,Are we allowed to use pretrained networks with open-source license?,0,None,2,Thu Dec 17 2015 13:38:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17982,/competitions/second-annual-data-science-bowl,None
/de317070,Submit model before end competition?,"Two weeks before the final deadline, you will submit your model to Kaggle. At this point, the second stage of the competition starts. Kaggle will release the final test dataset, on which you will run your models. The final standings are based on this final test set. To me, this part of the rules are rather vague. What is meant with model? Just the code, or code+parameters? If a bug pops up on the final test data, does that mean that you cannot fix your stupid divide-by-zero? Can you do an unsupervised training on the test data before evaluating the test data on your final model? Do you need to pre-process/clean up all data automatically? To me this distinction seems arbitrary. I'd like to know where the judges will draw the line more or less, and what is meant by 'model'. I always understood the model to be a mathematical abstraction, distinct from code or parameters.",1,None,7,Thu Dec 17 2015 15:40:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17983,/competitions/second-annual-data-science-bowl,2nd
/nedal2244,can I build a model using easy user interface tools ?,"Hi, I'm new to data mining and I'm using these competitions to practice . Is there a possibility i can build a model using weka or rapidminer or any easy user interface tools ? And if there is which kind of methods should i be using ?",0,None,1,Thu Dec 17 2015 16:18:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17985,/competitions/rossmann-store-sales,None
/serf88,sample submission doubt,"Hi all, I would ask you the meaning of 3 prediction columns in the sample substitution file. Isn't one prediction enough? Sorry for the trivial question it's just my first application in this kind of competitions. Thanks in advance.",0,None,1,Thu Dec 17 2015 16:39:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17986,/competitions/telstra-recruiting-network,695th
/serf88,sample submission doubt,"Hi all, I would ask you the meaning of 3 prediction columns in the sample substitution file. Isn't one prediction enough? Sorry for the trivial question it's just my first application in this kind of competitions. Thanks in advance.",0,None,10,Thu Dec 17 2015 16:40:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17987,/competitions/telstra-recruiting-network,695th
/cydoroga,Граф неразделенной любви,"Сразу внимательно прочитать задание у меня не получилось, поэтому написал небольшую проверку, является ли граф ориентированным или, возможно, мультиграфом. Убедился, что он ориентированный. По ходу дела сделал интересное наблюдение, даже два: 1) Граф очень ""сильно ориентирован"". Доля парных (обычных ненаправленных) ребер от их общего числа - 0.005426 Возможно я где-то ошибся, но уже несколько раз перепроверился. Это совсем не похоже на какой-нибудь ВК, где дружба обычно обоюдная. Больше похоже на неразделенные любовные симпатии. 2) Количество элементов в графе - 8959 А в Кеггле написано 11 тысяч. То есть прореживание графа оставило 2к вершин без ребер. Я ошибаюсь?",1,bronze,1,Thu Dec 17 2015 17:07:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17988,/competitions/msuedges,3rd
/wcukierski,On low scores and long decimals,"We've received some inquiries/concerns about the ""low"" early competition scores, enough to warrant a thread about what it means for the CRPS to be ""low"". With any metric (but especially mathematically complex ones) it's important not to let intuition overwhelm your interpretation. It's easy to feel that 1 is high and 0 is low, and therefore the current scores are in danger of saturation. However, you should keep in mind three important points here: The exponent in the metric is squaring a number < 1 (yielding an even smaller number). You can and should plot your probability curves on top of a vertical line for the volume. If you do this, you can visually see that there is a lot of room for improvement, even for CRPS scores that feel low. Medical use cases impose a very high bar on the level of robustness and accuracy for an algorithm to make it into the clinic. What's the takeaway? When you look at the leaderboard and see a number that feels low, or gaps that seem very close, view the plots and run the numbers before you get discouraged. It's a loooong road to get to 0.0!",10,silver,8,Thu Dec 17 2015 17:28:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17989,/competitions/second-annual-data-science-bowl,None
/juan001,How does the score calculated?,Does any one know how does the score calculated for this competition? Thank you very much! Juan,0,None,3,Thu Dec 17 2015 18:17:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17990,/competitions/prudential-life-insurance-assessment,362nd
/juan001,How does the score calculated?,Does any one know how does the score calculated? Is it the accuracy? Thank you very much! Juan,0,None,3,Thu Dec 17 2015 18:51:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17992,/competitions/homesite-quote-conversion,451st
/legende,Predicting each return with separate model or predicting all returns with one model?,I'm curious if anyone could share some thought on the pros and cons between building separate models for each return period vs building one model that somehow predicts all 62 variables.,0,None,1,Thu Dec 17 2015 19:12:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17993,/competitions/the-winton-stock-market-challenge,142nd
/dewit120,Cover my A__,"Hello everyone Today my prof introduced this competition to our class, to cover my a__ I publish the topics we talked about in todays lesson: 1 Genetic algorithms We only discussed some general ideas For finding good candidates for a merge of two routes one could calculate the center of mass and the orientation of each route to then combine the in these means closest routes. As first population take some simple heuristics and the benchmarks posted in the forum. For the encoding of a solution k vectors, containing the gift ids for each trip in the order they are visited. While mutating merged solutions apply appropriate splits to split too heavy trips. The best idea we had in our group was more or less a random split. 2 Simulated annealing There was only a quick talk about the possibility of using the distance of gifts as neighbourhood with some threshold on possible neighbours. 3 Ants An interesting idea about letting the ants solve the problem, where each ant should solve the whole problem. The supposed function to use for the calculation of the amount of pheromones the formula t*wij/dij, where wij is the weight of the sleight for this part of the trip and dij the distance travelled. I made this post cause i was already participating the competition and felt that i should publish the ideas we had, even I am not implementing one of those at the moment. If you have any questions about what we have discussed, I will do my best to answer them.",5,silver,1 Genetic algorithms,Thu Dec 17 2015 19:20:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17994,/competitions/santas-stolen-sleigh,None
/pappukrjha, Some Python Cooking,Hi Thanks for this code. I was looking out for some ensemble method and found this very helpful. But I am not able to start using this code for a simple error in my personal laptop. from mlxtend.sklearn import EnsembleClassifier ImportError: No module named sklearn import sklearn and import mlxtend are both working. So I am not able to figure out the solution of this error.,0,None,3,Thu Dec 17 2015 20:33:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17995,None,None
/wcukierski,Testing hierarchical clustering,"Just thinking out loud - I wonder if you could get this idea to fit if you bin locations into intermediate clusters, then use the hierarchical clustering on top of your intermediate clusters.",2,bronze,1,Thu Dec 17 2015 22:55:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17996,None,None
/udibr1,off topic: why MRI and not nuclear imaging?,"MRI is expensive and slower relative to Nuclear imaging. Many areas of the world don't have enough (at all) MRIs. Nuclear imaging does not require a heavy investment, and I think it can be made portable, so you can take it to remote locations. MRI volume measurement is hard (that's why we have this competition) and again, AFAIK, in Nuclear imaging the volume measurement is easier because you inject nuclear material into the blood and the radiation reading captured from the heart area using a nuclear camera is a good substitute for the volume of the blood inside the heart.",0,None,3,Thu Dec 17 2015 23:11:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17997,/competitions/second-annual-data-science-bowl,19th
/del=8c95375c60c105f9,Submissions Viz,I wonder if it's possible to use data from submitted csv files in Script section rather than the input data?,0,None,4,Fri Dec 18 2015 00:29:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17998,None,None
/thawatt,QuadWeightedKappa in XGBoost,"Has anyone had any luck using the ScoreQuadraticWeghtedKappa function from the metrics library (R) as an evaluation metric in XGBoost? I tried using the following, based on the CRAN XGBoost documentation but I keep getting an error (also below). Can anyone give me some pointers? Score <- function (pred, dtrn) { lbls <- getinfo(dtrn, ""label"") err <- ScoreQuadraticWeightedKappa(pred,lbls,1,8) return(list(metric = ""QWK"", value = err)) } [0] train-QWK:NaN+NA test-QWK:NaN+NA Error in if ((maximize && score > bestScore) || (!maximize && score < : missing value where TRUE/FALSE needed",1,bronze,3,Fri Dec 18 2015 00:57:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/17999,/competitions/prudential-life-insurance-assessment,23rd
/erinoliver,...but what if Santa's sleigh *hadn't* been stolen?  (intuition/theory discussion),"Like many people I'm struggling to get my intuition in order around this problem. I'm sure that there are people who, at first glance, saw that this was a ""[insert technique XYZ here]""-type problem. I am not one of them. I'd be very grateful for any discussion regardless of qualification as a means of cultivating intuition. First, it strikes me that this problem is unique in kaggle-land because there is actually a RIGHT (although not necessarily unique) solution. Here's a completely lazy and absurd algorithm for finding the (set of) solution(s): Order the set of n-gifts in all possible permutations on n - that is, impose all n! orderings on the set of gifts Compute the weighted reindeer (WR) measure for each or the n orderings Find the minimum of the set of WR and the corresponding orderings Employ the axiom of choice and arbitrarily pick one solution from the set (…and LOL your way to the bank about it in smug satisfaction) It bears no lengthy discourse detailing why this isn't feasible - in our problem n! is insanely large. Mere consideration of it could give people migraines. So instead of my lazy/absurd algorithm, what about a combinatorial ""solution"" - something more like a proof rather than an algorithm and implementation. My thinking is that if we can get to that, then we can understand or assess the computational feasibility of it. Again, this is purely for the purposes of intuition. I'd like to simplify the problem by stripping it down and then add back in features. My first simplification is this: Q_simple1: What if Santa had his usual sleigh, and weight wasn't an issue? Specifically, this is asking, what if Santa only had to make a single trip around the world, weight didn't matter, and all he cares about is minimizing distance? My crude and naive guess at the answer goes like this: A_simple2: Define G = {gift locations}. For all g in G compute d(g, North Pole) where d is the halvorsine distance function. Find the minimum distance in the set of distances, i.e. shortest distance to any gift. Identify the corresponding gift(s) - in the event that there is more than one, use axiom of choice and pick a gift (algorithmically we could just take the first in the list of closest gifts.) Now I'm already in trouble because if there is more than one point, let's say there are five homes equidistant to the North Pole that are mutually the ""closest"" then which one I choose here will bear on the outcome of my solution. So I'll simplify further and pretend that d(g_i, g_j) is unique for all g in G. Ok so now we have a single closest gift, we will denote this as g_0. Compute now the distance d(g_0, g) for all g in G. identify the closest point to g_0 and assign it as g_1. Compute the closest point to g_1 (and here we have to take g_0 and g_1 out of consideration) and assign it g_2, and proceed in this fashion until you have delivered all packages. I have no idea if this is right - I'm concerned, for example, that I haven't accounted for Santa's return trip home. What if he ends up in Australia last? If this were a problem from Pangaeaic times I wouldn't be concerned but as it is, I haven't done anything to deal with Santa's intercontinental sleigh rides and I would be astonished if I somehow just got that right for free with my sloppy solution. So how to deal with the continental problem? How to deal with the continents given an arbitrary planet? If anybody cares to straighten me out here I'd really appreciate it. Also, if anyone can suggest a body of knowledge or literature about related problems that would be very helpful. Thanks for reading and I wish you all happy sleigh rides and reindeer!",3,bronze,7,Fri Dec 18 2015 01:05:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18000,/competitions/santas-stolen-sleigh,283rd
/superching,question about second stage of challenge,"All the validation set questions will be used for the public leaderboard, and all the new test set questions used for private leaderboard. According to this paragraph, we get the second stage testing data at the time and is counted toward private score. So, do we get another submission button for private score, or do Kaggle run our uploaded model and submit in place of us?",0,None,2,Fri Dec 18 2015 03:56:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18002,/competitions/the-allen-ai-science-challenge,None
/ssoumen,SMS code verification from India,I am not receiving SMS code for verification from India. Anyone from India received verification code ?,0,None,1,Fri Dec 18 2015 07:43:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18003,None,None
/datadave,Check Training data in Kaggle Scripts,Is ../input/train_users.csv supposed to match the the train_users_2.zip file? It doesn't seem to. I noticed some of my local scripts were producing different answers from the ones running in the Kaggle Scripts environment. This simple script shows the number of observations differs. Am I accessing the file correctly?,2,bronze,4,Fri Dec 18 2015 09:20:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18005,None,None
/phunghx,"What are P0,P1,..., P599 in sample_submission_validate.csv mean?","In the train.csv, I have only seen 2 labels: Systole and Diastole. What are the meaning of P0,P1,…,P599 in submission file? Thank you very much!",1,bronze,3,Fri Dec 18 2015 10:39:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18007,/competitions/second-annual-data-science-bowl,None
/lbollar,Xgboost and large feature set ,"Hello, I have seen a lot of discussion on the number of features being pretty high for the top scores. I got under 1 on leader board with pretty simple xgboost model, not that many features. Then I basically went the route of dummying up the fine line numbers and expanded the feature set to 5k +. After training, my scores have rocketed into the high 2s. This seems to run counter to what everyone else is experiencing. I manually created the features by iterating and using a sparse matrix. I was wanting to make sure I didn't implement something wrong there. I am newer to competing. Any help is appreciated.",2,bronze,9,Fri Dec 18 2015 10:52:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18008,/competitions/walmart-recruiting-trip-type-classification,293rd
/fwagner,Question : Choose the right image,"Hi, I downloaded the train set with some measurements 1 .. 500 with different views ( /study/sax_* ) I am unsure about the task so here is my question : From the different views (/study/sax_* ) images like the right one should be chosen ? [Link]:http://hustlebomber.net/kaggle/Second%20Annual%20Data%20Science%20Bowl/1.JPG ( attached images ) And the max and min area ( here red circle ) are determined ? What about the green areas ? Should they be included, in the area calculation ? ( attached image 3 ) [Link]:http://hustlebomber.net/kaggle/Second%20Annual%20Data%20Science%20Bowl/3.jpg Thank you ! **Edit : it seems that inserted images are not shown, I attached them ** folder images : 470 study : sax 7, 119, 10 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101999/3450/1.JPG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/101999/3451/3.jpg",1,bronze,3,Fri Dec 18 2015 14:12:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18009,/competitions/second-annual-data-science-bowl,None
/superching,Anyone trying boosting with small lag y and recursive predict?,"I surprisely don't see anyone mentions this features. It is used in auto-regression model for time series , you have lag sales i.e. y_{-1},y_{-2} feature and do dynamic or recursive prediction. I tried xgb with y-1,y-2, y-7, y-14, y-28 , and the validation and LB is worse very much. I am curious is there assumption about this type of feature I was violating?",0,None,4,Fri Dec 18 2015 16:37:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18010,/competitions/rossmann-store-sales,55th
/gaborfodor,External Data,I could not find anything about external data among the rules. Personally for me the available 140 GB is more than enough :),0,None,4,Fri Dec 18 2015 19:27:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18011,/competitions/cervical-cancer-screening,4th
/keggle,Where to Begin?,I am completely new to Data Science and Kaggle. I know most people start with the Titanic data sets but I am so new and have no background experience in this that even that is giving me a lot of difficulties. I have no idea what resources to start using so that I may start entering competitions. How did some of you guys do it? Where do you start learning? Thanks for the help.,0,None,5,Fri Dec 18 2015 20:11:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18012,None,None
/rossbpalmer,Reading Suggestions for Feature Engineering,Hi Everyone! I am fairly new to the world of data science and am starting to drive into feature engineering. I understand that much of this process is an art and requires practice but I was wondering if anyone knew of any documentation/reading on the subject which they found insightful. Thank you!,0,None,2,Fri Dec 18 2015 21:46:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18013,None,None
/garbo999,trouble loading data with Octave + jsonlab,"I'm using Octave on this problem (my 1st attempt at a Kaggle competition). I've been taking the Coursera Machine Learning class and Octave is all I have for now. I plan to graduate to Python soon (but not yet). I've been working with a shortened data file and I already have a good bit of the code in place to try an SVM on this problem. However, I can't seem to load the whole data set fast enough. Here is the code snippet I am using to load the data: addpath('/home/saasbook/Kaggle/jsonlab'); file='train.json'; data=loadjson(file); copy Any ideas why it would be so slow? I am using the jsonlab toolbox. I let it run for 2 hours and it didn't finish loading the file. (But it does load smaller versions of the file OK.)",0,None,1,Fri Dec 18 2015 22:00:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18014,/competitions/whats-cooking,None
/aaronpolhamus,Competition evaluation metric for Python ,"In case anyone is interested. Feel free to suggest improvements or catch anything we missed. Using this code for model validation. #..written for python 2.7 import numpy as np import pandas as pd def CRPS_row(row): """""" This function is purpose-built for Kaggle. With a couple tweaks it can be generalized for other applications. row should be a 601-element list where the first element is the true volme and the subsequent elements are cumulatively summed probabilities. """""" V_m = row[0] p = np.array(row[1:]) v = np.array(range(len(n))) h = v >= V_m sq_dists = (p - h)**2 return(np.sum(sq_dists)/len(sq_dists)) def CRPS_mean(df): """""" Function recieves pandas dataframe as an input with the first column being a column of truths (V_m) and the subsequent 600 columns being cumulatively summed probabilities """""" crps_vec = df.apply(CRPS_row, axis = 1) crps_sum = np.sum(crps_vec) return(crps_sum/len(crps_vec)) copy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/102050/3453/eval_metric.py",4,bronze,4,Fri Dec 18 2015 23:21:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18015,/competitions/second-annual-data-science-bowl,128th
/rdslater,"You'll shoot your eye out, kid","Non-sql version of owl's script. added in a k-opt for the sort. Tune your runs with ""n"" and ""limit_""",4,bronze,16,Sat Dec 19 2015 00:20:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18016,None,None
/onidzelskyi,Size of submission file,"Greetings to all, The number of entries (lines) in submission file must be equal to: num_of_test_images times num_of_columns times num_of_rows, where num_of_test_images equal to 72, num_of_columns equal to 540, num_of_rows equal to 420. So, we have: 72 * 540 * 420 = 16,329,600, but sample submission file has the length of 14,230,080 entries (and submission rule emphasize on the size of submission file should be the size of 14,230,080 ). I'm confused. Thanks. Oleksii",0,None,2,Sat Dec 19 2015 04:01:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18017,/competitions/denoising-dirty-documents,None
/mitooze,"question about column ""Product_Info_2""","Dear All: I have a question about the column ""Product_Info_2"". This column contains labels ""A1, A2, …, B1"". Are these labels purely categorical ? Or, is there a rank relationship such as A1 < A2 < A3 , etc ? Thank you very much if you have ideas for this!",0,None,1,Sat Dec 19 2015 05:11:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18018,/competitions/prudential-life-insurance-assessment,None
/zidmie,Looking for teammate,"Hi, Anyone in top40 would like to join? Don't hesitate to reply here, or zidmie@free.fr. I'm currently with a score of 12.443. I first create my trips with a score of 12.483. Then my optimizer gets to 12.443 by switching gifts (and other methods). I'm really wondering which should be improved : first set of trips or optimizer?",0,None,3,Sat Dec 19 2015 09:35:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18020,/competitions/santas-stolen-sleigh,21st
/ys19931006,Can't go 3k features with 8GB RAM,"dtrain=xgb.DMatrix(data=nt[h,],label=((as.numeric(as.factor(target$x))-1)[h])) Error: cannot allocate vector of size 1.8 Gb In addition: Warning messages: 1: In typeof(data) : Reached total allocation of 8130Mb: see help(memory.size) 2: In typeof(data) : Reached total allocation of 8130Mb: see help(memory.size) 3: In typeof(data) : Reached total allocation of 8130Mb: see help(memory.size) 4: In typeof(data) : Hi,everyone. Working space had been cleaned, but still no memory for that. Is there any solutions?",0,None,4,Sat Dec 19 2015 12:36:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18023,/competitions/walmart-recruiting-trip-type-classification,163rd
/gertjac,Model documentation 1st place,"To give everyone interested a better insight into what I did, you find my model documentation attached. If you have any questions, please ask them here on the forum. I am currently getting a lot of e-mails that I will not be able to answer before Christmas ;) * * * Here is the dictionary that contains all of the features I used (that's what it is all about!): features={ 'store':[0,0,1,0],'storetype':[0,0,1,0],'assortment':[1,1,1,0], 'shopavg_open':[0,0,1,0],'shopavg_salespercustomer':[0,0,1,0],'shopavg_schoolholiday':[1,1,1,0], 'shopsales_holiday':[0,0,1,0],'shopsales_promo':[1,1,1,0],'shopsales_saturday':[0,0,1,0], 'day':[1,1,1,0],'dayofweek':[1,1,1,0],'dayofyear':[1,1,1,0],'month':[0,0,1,0],'week':[1,1,1,0],'year':[0,0,1,0], 'dayavg_openyesterday':[0,0,1,0], 'Promo2':[0,0,1,0],'Promo2SinceWeek':[0,0,1,0],'Promo2SinceYear':[1,1,1,0],'daysinpromocycle':[1,1,1,0],'primpromocycle':[1,1,1,0],'promo':[0,0,1,0],'promointerval':[1,1,1,0], 'CompetitionDistance':[1,1,1,0],'CompetitionOpenSinceMonth':[0,0,1,0],'CompetitionOpenSinceYear':[1,1,1,0],'daysincompetition':[0,0,1,0],'daysincompetition_unrounded':[1,1,1,0],'rnd_CompetitionDistance':[0,0,1,0], 'schoolholiday':[1,1,1,0],'stateholiday':[1,1,1,0],'holidays_lastweek':[1,1,1,0],'holidays_nextweek':[1,1,1,0],'holidays_thisweek':[1,1,1,0], 'prevquarter_dps_med':[0,0,0,1],'prevquarter_ds_hmean':[0,0,0,0],'prevquarter_hmean':[0,0,0,0],'prevquarter_med':[1,0,0,1], 'prevhalfyear':[0,0,0,1],'prevhalfyear_m1':[0,0,0,1],'prevhalfyear_m3':[0,0,0,0], 'prevyear_dphs_med':[0,0,0,1],'prevyear_dps_med':[1,0,0,1],'prevyear_ds_m1':[0,0,0,1],'prevyear_ds_m2ln':[0,0,0,0],'prevyear_ds_med':[0,0,0,1],'prevyear_ds_p10':[0,0,0,1],'prevyear_m1':[0,0,0,1],'prevyear_m2':[0,0,0,0],'prevyear_m3':[0,0,0,0],'prevyear_m4':[0,0,0,0],'prevyear_med':[0,0,0,1], 'prevquarter_cust_dps_med':[0,1,0,1],'prevyear_cust_dps_med':[0,1,0,1], 'lastmonth_yoy':[0,0,0,0],'linmod_quarterly':[0,0,0,1],'linmod_yearly':[0,0,0,1], 'weather_maxtemp':[1,1,1,0],'weather_precip':[1,1,1,0],'relativeweather_maxtemp':[0,0,1,0],'relativeweather_precip':[0,0,1,0], 'closurefeat':[1,1,1,0], } Meaning of dict entries: index 0: feature is part of salesmodel index 1: feature is part of customermodel index 2: feature is part of MA (monthahead) models index 3: pmd (previousmonthdate) variant of feature is part of MA models There is also an 'allfeatures' model, containing all dict entries; and models on months May to September have an extra feature on days relative to summer holiday start Explanation about features starting with prev: ds=by day/store dps= by day/promo/store dphs=by day/promo/shoolholiday/store (none)=by promo/store (how I started) Second part: med (or none)=median m1=mean m2=standard deviation m3=skewness m4=kurtosis hmean=harmonic mean cust means that it is calculated on customers instead of sales About the rnd/rounded features: at some point I excluded store from my model, and was worried that daysincompetition and competitiondistance would be used as proxies for store, therefore I rounded them on the log scale. In my final model I don't think it makes a difference. Relative weather is weathervariable today, divided by average weathervariable during the last 7 days (did not help much). [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/102102/3454/Rossmann_nr1_doc.pdf",125,gold,37,Sat Dec 19 2015 14:16:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18024,/competitions/rossmann-store-sales,1st
/samehif,categorical variables ,"according to the assignment text the fields (among others) Medical_History_2 and Medical_History_10 are categorical. they take values in the range (0->240) and (1->648) respectively. I have 2 questions: 1) are they really categorical ? they sounds more like discrete variables to me 2) in the description of the assignment it reads: ""Medical_History_1-41 A set of normalized variables relating to the medical history of the applicant."". what kind of normalization have been done to these variables? normalized features usually has a range of 0 -1 or if they are scaled then they have zero mean and/or 1 std. data.Medical_History_2.describe() count 59381.000000 mean 253.987100 std 178.621154 min 1.000000 25% 112.000000 50% 162.000000 75% 418.000000 max 648.000000 Name: Medical_History_2, dtype: float64 data.Medical_History_10.describe() count 557.000000 mean 141.118492 std 107.759559 min 0.000000 25% 8.000000 50% 229.000000 75% 240.000000 max 240.000000 Name: Medical_History_10, dtype: float64",0,None,13,Sat Dec 19 2015 14:25:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18025,/competitions/prudential-life-insurance-assessment,19th
/vladislavbelyaev,DeepHack.Q&A,"Greetings everyone, Russian Deep Learning community is quite excited and enthusiastic about this challenge. Backed by a large interest group here in Moscow, we want to build off of this initiative by organising a Winter school paired with an AI-hackathon - [Link]:http://qa.deephack.me . Collaborative work of many teams forms a powerful educational environment that can stimulate people to learn and work better, and may in the end lead to discoveries that would have been overlooked otherwise. The last event like that we have organized—a week-long hackathon to improve DeepMind code to play Atari games (see [Link]:http://game.deephack.me ) — did well. It was an academic, free for participants but competitive event that combined hacking with a crash course of educational lectures by Yoshua Bengio, Andrey Dergachev, Alexey Dosovitski, Vitali Dunin-Barkovskyi, Terran Lane, Anatoly Levenchuk, Sridhar Mahadevan, Maxim Milakov, Sergey Plis, Irina Rish, Ruslan Salakhutdinov, Jürgen Schmidhuber, Thomas Unterthiner, Dmitri Vetrov, Alexander Zhavoronkov. The winning team was awarded with a trip to NIPS and their paper based on their work got accepted to a NIPS workshop. In fact, many other participants were inspired enough to come to NIPS on ther own. We have closed the registration. Thanks everyone for participantion in the qualification round! :)",3,bronze,246,Sat Dec 19 2015 14:28:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18026,/competitions/the-allen-ai-science-challenge,None
/mah38900,Are TSP approximations and heuristics still applicable?,"On the topic of optimizing tours - Has anyone given thought to which TSP techniques are applicable to this problem? Christofides' approximation algorithm is guaranteed to give a solution with a cost no larger than 1.5 times the optimal tour. But this guarantee only works for symmetric graphs with distances that obey the triangle inequality, neither of which are true in our case. What about heuristics like the LK algorithm? I am less familiar with it and unsure what the assumptions are that make it a good heuristic for TSP. Does it also assume certain properties of the graph?",1,None,6,Sat Dec 19 2015 16:08:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18027,/competitions/santas-stolen-sleigh,None
/breakfastpirate,is_screener and patient age,"The data page says ""A patient is defined as a screener if the patient has had a pap smear in the last 5 years. This patient must be between the age of 25 and 65, and has not been diagnosed of cervical cancer or had hysterectomies."" Yet there are patients outside this age range with is_screener = 1. Am I missing something?",6,silver,16,Sat Dec 19 2015 19:05:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18029,/competitions/cervical-cancer-screening,4th
/mlgeek21,Winning Codes,Can Some of the winners please post their codes. This was a fun competition. All of us can learn a lot from each other! Thanks! Happy Holidays!,4,bronze,6,Sun Dec 20 2015 03:10:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18032,/competitions/whats-cooking,108th
/maxcarontes,Earth radius in Haversine formula,"Hi, Can we know which Earth radius is being used to calculate the value of a solution? Thanks",0,None,2,Sun Dec 20 2015 03:32:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18033,/competitions/santas-stolen-sleigh,40th
/westonpace,md5sum for downloads?,Can someone post md5sum calculations for the datasets? I have a few 0 size dcm files and am trying to determine if I messed up on unzip or the download.,0,None,2,Sun Dec 20 2015 03:53:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18034,/competitions/second-annual-data-science-bowl,None
/iamdavid,Loading DICOM into R for exploration,I'm using the oro.dicom package to read in the images. [Link]:https://github.com/davluangu/diagnose_heart_disease Has anyone else tried any other packages to read DICOM images in R?,0,None,1,Sun Dec 20 2015 04:17:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18035,/competitions/second-annual-data-science-bowl,None
/westonpace,dcm2bmp,"The following bash script will convert all dcm files to bmp files using ImageMagick if you don't want to deal with the DICOM format. Just run it in the directory you unzipped your data sets into. If using Ubuntu you can install ImageMagick with: sudo apt-get install imagemagick copy If you prefer a format other than bmp then just change the extension in the script appropriately. Also, it works by putting the bmp (an uncompressed format) file alongside the dcm file so it will use quite a bit of space. After running this on both datasets I ended up with 129G. #!/bin/bash for dcm_name in $(find . -name '*.dcm') do bmp_name=`echo ${dcm_name} | sed 's/dcm$/bmp/'` echo convert ${dcm_name} ${bmp_name} convert ${dcm_name} ${bmp_name} retval=$? if [[ $retval != 0 ]] then echo ""Error converting ${dcm_name} (retval=${retval})"" exit 1 fi done exit 0 copy",2,bronze,2,Sun Dec 20 2015 06:26:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18036,/competitions/second-annual-data-science-bowl,None
/greenzone,Feature description,"Hi, i am going through with session.csv dataset,but i dont understand the sesc_elapced feature; what it is?",0,None,2,Sun Dec 20 2015 07:03:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18037,/competitions/airbnb-recruiting-new-user-bookings,None
/vikrant24,"Lasange, nolearn error","Hi, I am trying to use neuro network first time using lasange and nolearn. I am getting below error while training the data. Can any one tell me how to fix it. Any guidance will be appreciated. AttributeError Traceback (most recent call last) in () ----> 1 net0.fit(X, y) C:\Users\Admin\Anaconda\lib\site-packages\nolearn\lasagne.pyc in fit(self, X, y) 138 out = self._output_layer = self.initialize_layers() 139 if self.verbose: --> 140 self._print_layer_info(self.get_all_layers()) 141 142 iter_funcs = self._create_iter_funcs( C:\Users\Admin\Anaconda\lib\site-packages\nolearn\lasagne.pyc in _print_layer_info(self, layers) 374 def _print_layer_info(self, layers): 375 for layer in layers: --> 376 output_shape = layer.output_shape() 377 print("" {:<18}\t{:<20}\tproduces {:>7} outputs"".format( 378 layer.class.name, AttributeError: 'DenseLayer' object has no attribute 'get_output_shape'",0,None,2,Sun Dec 20 2015 08:43:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18038,/competitions/walmart-recruiting-trip-type-classification,597th
/mnemaric,Heart Anatomy,"My main concentration so far has been focusing on unsupervised training for identification of the 2 frames (for any arbitrary slice) pertaining to end-systolic and end-diastolic stages of the heart beat cadence. We know that these two stages are defined as the global minimum and maximum of the entire left ventrical volume, thus it seems logical to assume that these global maximums and minimums (for volume) ALSO occur at the global maximum and minimum (for area) of the individual cross-sections for a given slice. However, one can imagine a situation where this might not necessarily be the case - eg. at maximum LV volume, one LV cross section area is slightly smaller than it is, say, slightly after maximum LV volume. I have no reason to believe that this is the case, and one would certainly think that maximum volume occurs at the maximum cross-section areas for each slice. What are peoples thoughts? Any anatomy experts that could shed some light on wether this is likely to be true or not? Is anyone else tackling this problem in a similar fashion (first identifying 2 frames from each slice, in which to build a more complex model)? My gut reaction is that it doesn't make sense to use more than 2 frames per slice. I have been having success training restricted boltzmann machines with 1 hidden layer and 1 node (essentially what amounts to a logistic regression) on slices. This works out well because we can do it totally unsupervised - we have no labeling pertaining to the cadence. Essentially, we want to train a model to capture a generative distribution for a given slice MRI. The hope is that the single binary output of the model pertains to end-systolic and end-diastolic stages in the slice. As an example, I trained an RBM on slice 9 of study 525 (validation data), by first finding the 128x128 window within the whole image that has the most variance across the frames. After training on the grey-scale image, we end up with the following weight: [Link]:http://imgur.com/zso6tx7 Which when ""off"" will decode to: [Link]:http://imgur.com/d1gKeOt And when ""on"" will decode to: [Link]:http://imgur.com/hCx8mP8 This confirms that we have successfully trained an auto-encoding binary feature pertaining to heart beat cadence, and completely unsupervised! This is the power of generative distributions. Now keep in mind, all we have done here is create a model which is good at assigning a 1 or a 0 to each frame in a way that attempts to capture as much information as possible about the differences between frames. What is ultimately more useful is the dot product of our image vector and the trained weight (essentially, what we would plug in to the sigmoid function). Calculating that dot-product for each frame gives us this beautiful curve: [Link]:http://imgur.com/KlZTXEt So it seems our model is indicating that frame 13 and 29 are our likeliest candidates for the end-systolic and end-diastolic stages in the slice. Checking out the whole slice confirms that this is correct: [Link]:http://imgur.com/fxbEsTE Whadaya think? :)",4,bronze,6,Sun Dec 20 2015 09:06:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18040,/competitions/second-annual-data-science-bowl,None
/alrojo,Affine 3D Transformation for data augmentation - python,Which libraries do you use for doing affine 3D transforms(general purpose data augmentation of RBG images) in python?,0,None,2,Sun Dec 20 2015 12:18:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18041,None,None
/katrien,Student price,"How is the student price awarded? The price page says: 'The Student Prize will be awarded to the highest ranked participant currently enrolled in an undergraduate or graduate program', but how does Kaggle know who is a student?",1,bronze,1,Sun Dec 20 2015 15:04:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18043,/competitions/the-winton-stock-market-challenge,639th
/dimitriboeckaerts,R packages,I've found two interesting packages to use when working with multi-label problems: the mldr package: [Link]:https://journal.r-project.org/archive/accepted/charte-charte.pdf the rFerns package: [Link]:https://cran.r-project.org/web/packages/rFerns/rFerns.pdf Hope you enjoy!,0,None,2,Sun Dec 20 2015 16:04:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18044,/competitions/species-presence-prediction-2015-2016,6th
/jialunhe,Time frame ,"From a quick scan, I found the activity time ranging from 2008-01 to 2014-12 I have a question for the time frame in the prediction. What is the time frame in the screening prediction? For example, Is it within the next 6 months or 12 months? I also have another question on the health records. For a patient in the record, is the health record complete? Have you filtered out some items in the record? either irrelevant or too relevant?",2,bronze,4,Sun Dec 20 2015 18:50:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18045,/competitions/cervical-cancer-screening,None
/aewhatley,How to create only an id column and a result column in csv file from pandas.,"I have been unable to figure out how to create only an ""id"" column and a ""country"" column for the Airbnb contest, without having the indexes being stored in the csv file as well, creating an error when I submit the file. For example, say I have: df = pd.DataFrame({""id"" : [0,1], ""country"" : [0,1]}) df.to_csv(""filename.csv"") copy This will create an additional column with the indexes ""0,1"", which I do not want. How do I get rid of this?",1,None,2,Sun Dec 20 2015 19:28:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18046,None,None
/adegie,What 'Response' really is,I wonder what really the response variable means in the training set. I am guessing it is not really the actual risk calculated as loss rate - I don't see how it could be calculated without somehow selecting representative group and finding loss probability there. Is it simply score given by Prudential's current model (maybe to some extent involving manual human analysis)?,0,None,2,Sun Dec 20 2015 22:49:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18047,/competitions/prudential-life-insurance-assessment,1028th
/pgeiger,Simpler/faster Haversine distance,"Here's a simpler way to compute the Haversine distance that, on my machine, runs about twice as fast as a straightforward implementation of the standard formula. When loading the gifts, compute and cache their Cartesian coordinates: // // Gift constructor. // public Gift(int id, double latitude, double longitude, double weight) { Id = id; Weight = weight;<pre><code>LatitudeInRads = (Math.PI/180) * latitude; LongitudeInRads = (Math.PI/180) * longitude; // Cartesian coordinates, normalized for a sphere of diameter 1.0 X = 0.5 * Math.Cos(LatitudeInRads) * Math.Sin(LongitudeInRads); Y = 0.5 * Math.Cos(LatitudeInRads) * Math.Cos(LongitudeInRads); Z = 0.5 * Math.Sin(LatitudeInRads); </code></pre>} copy The great-circle (Haversine) distance between two points is just the arcsine of the straight line distance: // // Computes the Haversine distance between two points. // public static double HaversineDistance(Gift g1, Gift g2) { double dX = g1.X - g2.X; double dY = g1.Y - g2.Y; double dZ = g1.Z - g2.Z;<pre><code>double r = Math.Sqrt(dX*dX + dY*dY + dZ*dZ); return 2 * AvgEarthRadius * Math.Asin(r); </code></pre>} copy",33,gold,14,Mon Dec 21 2015 01:55:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18049,/competitions/santas-stolen-sleigh,49th
/stonre,How can I deal with the high computing load of heuristics algorithms in this competition,"Hi all, I tried SA in the single trip to find the optimal path. But the computing load is high and my computer may take over one day to do the computation. So can anyone give some suggestions that can make the computation faster? Thank you.",1,bronze,8,Mon Dec 21 2015 03:19:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18050,/competitions/santas-stolen-sleigh,267th
/linstonybrook,Anyone here to form a group with me?,"I am very interested in doing this as a project. I know machine learning and statistics, right now I use python, is there anyone who wants to join me? pls feel free to contact. :)",0,None,5,Mon Dec 21 2015 03:50:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18051,/competitions/airbnb-recruiting-new-user-bookings,None
/aewhatley,Dates in the age_bucket column of age_gender_bkts.csv,"I am a bit confused by the presence of dates in the age_bucket column of age_gender_bkts.csv, for example, in row 20, we have: 14-Oct AU male 743 2015 What exactly does this indicate, since there is also a population label in these rows as well?",0,None,2,Mon Dec 21 2015 06:55:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18054,/competitions/airbnb-recruiting-new-user-bookings,769th
/charleswuyy,question about LB score and xgboost AUC ,"Hi everybody, I'm a newbie, I have some questions about LB score and xgboost AUC evaluation metric, I use the xgboost to fit the model with AUC as the evaluation metric, the AUC score is about 0.96, but the LB score is only 0.86, does anybody know this questions? Thank you very much!",0,None,2,Mon Dec 21 2015 08:28:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18055,/competitions/homesite-quote-conversion,676th
/vishanta,Is submission allowed in bz2 format?,I could see the submission file in bz2 compressed format is 5.5MB compared to gz or zip which is at least 10.3MB. Is bz2 allowed?,1,bronze,1,Mon Dec 21 2015 13:24:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18057,/competitions/the-winton-stock-market-challenge,141st
/michaeltconway,Military projects,delete,0,None,2,Mon Dec 21 2015 16:18:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18058,/competitions/noaa-right-whale-recognition,None
/padraics,Careers @ Prudential,"Hi Kagglers, I’m Padraic from the Data Science Team at Prudential. Thank you to everyone who is participating in the competition, we are super excited with the progress so far. I'm here for any questions about career opportunities, what Data Scientists do at Prudential, or anything else Prudential-related, so please ask away! We hope you’re having fun with the challenge. Keep hacking!",18,gold,11,Mon Dec 21 2015 18:05:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18060,/competitions/prudential-life-insurance-assessment,None
/askaran,Log Feature & Volume,"I am not able to understand the two columns in log_feature? Moreover its not unique, different values of both log & volume correspond to the same id. I am getting confused, what does these columns means actually?",1,None,11,Mon Dec 21 2015 19:24:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18061,/competitions/telstra-recruiting-network,None
/vaheed,ATTN: Admin ,"Question: What's the probability of having a certain name repeated in top 20 LB? Answer: A lot, see the attached figure. One joined 23 days ago, two others joined 2 days ago. Seriously, some of the accounts should be removed. It's not about the rankings since this was a knowledge competition, it's about principles. These were the easy ones to catch, I'm expecting to see more removed. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/102341/3458/khal.jpg",1,bronze,1,Mon Dec 21 2015 19:37:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18062,/competitions/whats-cooking,18th
/ashish01,Why is the leaderboard still in Closed - Validating Final Results status?,How long does final result validation take?,5,bronze,3,Mon Dec 21 2015 21:13:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18063,/competitions/whats-cooking,341st
/davehiem,Rules on Random,"I was looking through the rules and realized that a winner must submit the code for generating the winning submission: ""The delivered software code must be capable of generating the winning Submission and contain a description of resources required to build and/or run the executable code successfully."" A lot of my code has random parts for optimizing a solution… Is this allowed since there is no way (statistically) my code will regenerate the same submission?",1,bronze,4,Mon Dec 21 2015 21:43:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18065,/competitions/santas-stolen-sleigh,249th
/zerozero,pre-trained nets,allowed or not?,0,None,18,Mon Dec 21 2015 22:42:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18066,/competitions/yelp-restaurant-photo-classification,None
/kelexu,Rank averaging,"I am also a newbie and try to learn something during the competition. Here, I have noticed that there is an emsample method called rank averaging. For example, I have two different single models: one is 0.96832, the other is 0.96836. When I simply average two model, I got a about 0.96840. But when I am trying to use the ranking average method given in: [Link]:http://mlwave.com/kaggle-ensembling-guide/. I have always got 0.5.. I suppose I am misunderstood the ranking average method, so I wonder is there anyone can provide some idea on that? Thanks in advance.",2,None,7,Mon Dec 21 2015 22:44:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18067,/competitions/homesite-quote-conversion,76th
/benhamner,Visualizing your submission in 3D,Nice visualization! Is it possible to color the arcs by the trip? Would make it much clearer,0,None,5,Mon Dec 21 2015 23:18:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18069,None,None
/zachmayer,[Deleted Kernel],Question here— how did you get it down to 12476575039.3? I used the output of this script (which I think is a small variant of you'll shoot your eye out): [Link]:https://www.kaggle.com/khaledfayed/santas-stolen-sleigh/btb-sszdx/run/127232 Which has a score of 12507006788.16310 . I ran one loop and got 12490669398.26320. Do I just run more loops?,-1,None,4,Mon Dec 21 2015 23:54:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18070,None,None
/wendykan,New data released,"We have released new test data and the competition is now reset (all the rescoring will finish shortly). Please go to the [Link]:https://www.kaggle.com/c/the-winton-stock-market-challenge/data page and download the new version of test data and sample submission file. Winton have added new data into the test set. If you downloaded the test set before 2015-12-21 please re-download the data set and submit predictions on this instead. Please note that new data is added to the private part of the data set, so your score on the public part of the test set will stay the same.",1,None,22,Tue Dec 22 2015 00:01:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18071,/competitions/the-winton-stock-market-challenge,None
/martin22,Hysterectomies,"Hi, The data definition states the following: ""A patient is defined as a screener if the patient has had a pap smear in the last 5 years. This patient must be between the age of 25 and 65, and has not been diagnosed of cervical cancer or had hysterectomies. "" However, there are some cases in the training data in which a patient has is_screener=1 and appears to have gone through an hysterectomy, based on the surgical_head table, column surgical_procedure_type. Some examples: Patient_id = 84563438, had an ""OTHER AND UNSPECIFIED TOTAL ABDOMINAL HYSTERECTOMY"" on procedure_date=201205, and has is_screener=1 Patient_id = 84573819, had a ""LAPAROSCOPIC TOTAL ABDOMINAL HYSTERECTOMY"" on procedure_date=201108, and has is_screener=1 Is this a problem with the dataset? Or these procedures are not considered as ""hysterectomies"" for purposes of the data definition?",0,None,2,Tue Dec 22 2015 01:34:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18072,/competitions/cervical-cancer-screening,None
/michalmonselise,Can I add an R Shiny/Python Bokeh/Python Spyre Scripts?,Will they work? These scripts tend to generate a local web page so I'm not sure how this will work on Kaggle.,0,None,2,Tue Dec 22 2015 03:01:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18073,None,None
/westonpace,Why a slice location fallback?,"In the Fourier tutorial there are a couple of methods used to try and calculate the distance between slices. The first method is to take the delta between two slice locations. The tutorial mentions that the reason is that some fields are missing in some images due to inconsistencies in MRI equipment. However, I've scanned all the SAX images from both the training and validation set and none of them appear to be missing the slice location field. Am I missing something else? Should we expect the final data set to be more incomplete than the two we've been given so far? Is this just a general statement that doesn't really apply to the data for this competition?",0,None,3,Tue Dec 22 2015 08:54:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18075,/competitions/second-annual-data-science-bowl,None
/naveens007,Aristo Project Role,Just a clarification on Aristo Project mentioned in the introduction. Is it that the proposed system (Challenger) must beat that system ? I have concerns if that is true.,0,None,2,Tue Dec 22 2015 09:11:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18076,/competitions/the-allen-ai-science-challenge,None
/suriya,Any one using nolearn for neural networks?,"I am trying to use nolearn neural network for this problem, but some how, all the inputs are getting mapped to the same output value 8 (0-7) in my case. Any possible ideas as to why such a thing happens?",0,None,3,Tue Dec 22 2015 10:00:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18077,/competitions/prudential-life-insurance-assessment,1781st
/binghsu,End-to-End Deep Learning Tutorial (0.0392),"Hi All, We just make an end-to-end deep learning tutorial with lb score 0.0392: [Link]:https://github.com/dmlc/mxnet/tree/master/example/kaggle-ndsb2 Notice this is a very simple model with no attempt to optimize the structure or hyper parameters, you can build fantastic network based on it. While this tutorial is written in python, MXNet comes with support for other popular languages such as R and Julia which can also be used. You are more than welcomed to try and contribute back to this example. Bests, Bing",62,gold,215,Tue Dec 22 2015 12:52:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18079,/competitions/second-annual-data-science-bowl,None
/bruttoblotto,Deep learning in R?,"Hi all, Has anyone had success in this competition using H20 or another R deep learning package like mxnet? It seems the R deep learning packages are a bit behind what is available in python Thanks!",0,None,8,Tue Dec 22 2015 15:24:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18080,/competitions/walmart-recruiting-trip-type-classification,181st
/asimkievich,did I miss anything?,wiped out from the LB. do you need to submit again to be considered a participant?,0,None,5,Tue Dec 22 2015 21:18:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18082,/competitions/the-winton-stock-market-challenge,None
/ben519,When is the train/test data evaluated?,I'm assuming all of the training and testing data are measured as of the same point in time (in regard to whether or not someone booked a vacation). When is that date? Thanks,1,None,5,Wed Dec 23 2015 02:57:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18084,/competitions/airbnb-recruiting-new-user-bookings,20th
/millerintllc,Submission scored NULL?,"I forgot to aggregate the predictions to 1 row per visit number, but instead of just getting an error message, it actually took the submission and scored it as ""NULL"". Is this expected behavior? [Link]:http://imgur.com/6cT0VMR",0,None,3,Wed Dec 23 2015 04:09:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18085,/competitions/walmart-recruiting-trip-type-classification,492nd
/woshialex,how is the true volume data measured?,is it labeled with a red circle by hand and then measured by human (then it is area instead of volume)? so we should expect error on these data?,1,None,14,Wed Dec 23 2015 05:13:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18086,/competitions/second-annual-data-science-bowl,1st
/mirajs,MATLAB is allowed to use or not?,Sorry I am not sure if I understand properly the competition rules. Therefore I am asking to be certain: MATLAB is allowed to use or not?,0,None,3,Wed Dec 23 2015 05:42:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18088,/competitions/the-winton-stock-market-challenge,403rd
/wolod11,Отчеты ПЗАД (добровольно),"Коллеги, моё текущее решение. Думаю будет интересно тем кто хочет посмотреть на анализ соц. графов с помощью SNAP. Ноутбук не очень красивый, много лишнего кода и не удачных попыток, но я старался пометить код который не используется. [Link]:https://github.com/VladimirSaz/notebooks/blob/master/pzad_hw4.ipynb Я думаю, что бороться больше не буду, и из рекомендаций, кто тупо хочет закопипастить и обогнать меня, хоть чуть-чуть - можно сделать следующее: 1) Добавить в качестве признаков, те методы которые применимы для не ориентированных графов, например GetFarnessCentr и подобные 2) Разобраться что за бенчмарк NX и смешать решения с ним) 3) ну и конечо можно смешать с вашим алгоритмом, может выстрелить И еще предупреждаю, что генерация тренировочного сета, так как сделана у меня - на слабых компьютерах будет идти оочень долго. update: я сегодня подумал - и понял, что это сделано крайне не оптимально - можно сделать существенно оптимальней Не стесняйтесь делитесь решениями, с интересом посмотрю на ваши методы. Думаю, эта ветка хороша будет для отчетов тех кто из ПЗАД. Это решение имеет score 0.86095",0,None,6,Wed Dec 23 2015 09:08:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18089,/competitions/msuedges,29th
/alsimak,whatreallyhappened,"Hello everyone . Some of us have a hint of what is going on in this competition , but many people , who have invested hard work , must be clueless , confused and even worst , angry . We have a totally different problem now . I will try to shed some light and help a bit Kaggle and Winton out of this mess . Yes , yesterday I was very angry whith the changes . After giving it a deep thought and analysing the situation I now think there was no alternative but to change the problem . Here is why (this is just my theory , of course . Its merely the fruit of my analysis , which was made while sleeping tonight , no insider information here , so take it whith a pinch of salt :) chapter 1 : The metaproblem . The same day I read the description of the problem , I realized it had two solutions . One was easy and straight-forward : To use the future to predict the future . The other solution was difficult and twisted : to use the past to predict the future . Of course , this ""difficult solution"" is for what Winton and all finantial analysts are paid for . On a first superficial thought I imagined Winton was interested in the difficult solution , because that is the one that will be usefull to them . But then i had second , deeper thoughts . All the problem was presented in a very misterious way , and we where asked to ""look for the needle in the haystack"" . The EASY solution fitted the description of the needle , and the DIFFICULT one was the haystack . The easy solution would score much better in the private leaderboard than the hard one . And then , the million dollar question (or 20000 if you prefer) . If Winton wanted the difficult solution , the robust model , then , why in hell do they design a problem whith an easy solution ? I figured the answer to this question was that the problem was a trick/trap , where many people would waste their time in the difficult solution , and only some lateral thinkers familiarized whith finantial prices will choose the better scoring , easiest way . I was totally wrong . The real answer to the question of why a problem with such a short-cut was proposed is that the people at Winton did not see the shortcut . They are so narrowly centered in solving their single past-future problem that they long ago forgot about lateral thinking . That is , till someone thought about Kaggle . That was a step in the good direction . They have learn a very usefull lesson . Focusing efforts and concentration is very important , but to take a deep breath from time to time , stop looking at the heart of your problem and look arround more widely is also a must . This lesson alone is worth the money they invested in the prices . But , all this I figure now , when i started to work at the problem i deduced they wanted the easy solution . So I did not even downloaded the train dataset . what for ? That was the haystack . I worked hard for two months . Luckily , by profesional deformation , and because it was a beautifull problem , parts of my model i built them to solve the difficult past-future problem . They added to the score and the code was challenging . But I also invested a lot of work in the easy ""future with future"" solution . The new problem has only one solution . You have to predict the future using the past , there are now shortcuts , the flaws have been corrected . I lost a lot of work , and many people with me . But I now understand that Winton and Kaggle have no other option but to change the data , so I am not angry any more . And , how is this ? This is because the integrity of the competion may have been compromised ( see chapter 2 ).",11,gold,11,Wed Dec 23 2015 11:53:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18092,/competitions/the-winton-stock-market-challenge,624th
/datayogi,where am i going wrong?,"i am using the XGboost script from springleaf…while scoring the test data after training the boosted trees, i get std::bad_alloc error…this happens if i use more than 50000 obs while training the boosted trees…strangely R hangs while scoring the test data and not while training the data… can anyone help me?",0,None,5,Wed Dec 23 2015 13:40:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18094,/competitions/homesite-quote-conversion,64th
/rudikruger,What a Race!,"Can I just say, the race for top spot is truly amazing. Can't wait to read the 'How I did it' topic. I imagine the top teams have something running on something fast 24/7? HO HO HO",7,silver,6,Wed Dec 23 2015 15:47:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18095,/competitions/santas-stolen-sleigh,141st
/sensation,頭香！！！,,0,None,1,Wed Dec 23 2015 15:49:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18096,/competitions/104-1-mlds-final-project,36th
/wjburton,Variable Questions,"hi admin, 1) date_account_created: I'm curious as to how accurate date_account_created in the users dataset is. It appears that in some cases this date comes after the timestamp_first_active, and if you calculate date_first_booking minus date_account_created in some cases you get a negative number of days. (date_account_created should be less than date_first_booking) 2) age: AirBNB policy requires a customer to be a minimum of 18 years old to book, yet there are 22 cases where someone younger than 18 booked a trip. How is this possible? I want to gauge how accurate age really is. 3) Sessions data: Does the session data stop once/if a booking occurs? Thanks in advance!",0,None,6,Wed Dec 23 2015 19:01:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18098,/competitions/airbnb-recruiting-new-user-bookings,None
/dithyrambe,Cross validation and leaderboard,"Hi, Can somebody explain me how a cross validation manage to drop my LB score ? =) I just made a 5 fold cross-validation (mean of 5 predictions fitted on 80% of the train set and validated on the 20% left) without cv i scored around 0.96 on LB. with, 0.88. Isn't that huge ?! Help is welcome here =)",0,None,3,Wed Dec 23 2015 19:06:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18099,/competitions/homesite-quote-conversion,94th
/linstonybrook,Why to generate dummy variables rather than to treat the single variables as factors?,Just confused.,0,None,1,Wed Dec 23 2015 19:42:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18100,/competitions/walmart-recruiting-store-sales-forecasting,None
/carloshuertas,Use the mlr Package (scores 0.649),"Can't make it work locally :( Error in FUN(X[[i]], …) : could not find function ""is"" Calls: makeLearner … makeRLearnerInternal -> checkListElementClass -> lapply -> FUN Execution halted Any ideas?, I get that function ""is"" was not found but… a function called ""is""? no idea which package it should be (I just installed all the imported at the beginning)",0,None,37,Wed Dec 23 2015 20:13:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18102,None,None
/jeffmoser,Exploration Ideas,"I thought it might be fun to post some questions that this dataset could answer. I might try tackling them over time. If you're curious about them too and answer them, please reply with a link to your Script so we can learn from each other. Are some states trendsetters? That is, the naming pattern they have get adopted by other states? What names will likely be popular in 2015? 2020? What names will likely fall out of popularity in 2020? Cluster states by similarity of naming Have alternate spellings increased over time? If so, by how much? What name has the most alternate spellings? What are some ""flash in the pan"" names? Names that were very popular for a short amount of time and then died out? Can you identify when a name was likely correlated with a celebrity, TV show, movie, historic event that happened in a given year? ""What's old is new"" names. Names that were popular, died out for a long time, and then came back. Are there phonetic trends? (e.g. ""-en"" seems to recently popular: Aiden, Braden, Caden, etc) How have state populations varied over time? Please feel free to share your ideas/questions too!",4,bronze,3,Thu Dec 24 2015 04:43:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18103,None,None
/vazeer,xgboost error,"Hello Everyone, I am new bie trying to find my way here. I am trying to create a model using xgboost. But I get the following error while executing which I am unable to understand. SoftmaxMultiClassObj: label must be in [0, num_class), num_class=39 but found 39 in label I tried changing the num_class to different numbers but I am still getting the same result. I also checked if my labels were factors but they aren't (this was a solution to a similar problem).",0,None,2,Thu Dec 24 2015 05:03:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18104,/competitions/walmart-recruiting-trip-type-classification,404th
/ivanthinking,There is no Insurance_History_6 variable,Unless I'm totally crazy. Insurance_History_1 - 5 and 7-9 appear to exist however.,0,None,8,Thu Dec 24 2015 06:39:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18105,/competitions/prudential-life-insurance-assessment,1403rd
/nickalv10094,Lower than expected accuracy - random forests,"Using randomForest() in R, I have an OOB error rate of 48%, and a similar error rate for with testing data. Upon submission however, I get a 56% error rate. Anyone else experiencing this problem? If we assume the actual testing data is different, how can we understand how to account for this? Nick",1,bronze,2,Thu Dec 24 2015 08:30:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18106,/competitions/prudential-life-insurance-assessment,None
/kelexu,Best single model,"Hi, there. I wonder what's best LB score using the single model. For me, my best single model is to use some simple feature engineering and XGboost, then I got 0.96840 for single model. I wonder what's other's best score using single model?",3,bronze,25,Thu Dec 24 2015 09:53:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18107,/competitions/homesite-quote-conversion,76th
/utah777,Why highest LB score is so far from 1?,"I am wondering why highest LB score (~.67) is so far from 1 as of now? I suspect Prudential has some kind of model that consistently and reproducibly assigns those 1 to 8 scores to clients. However, nobody were so far able to come close to Prudential's ability to come up with those scores. Is it because (1) the models have yet to be improved (2) not all features participating in scoring are disclosed (3) features were normalized (4) subjectivity is involved in real process or (5) something else?",0,None,5,Thu Dec 24 2015 12:57:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18110,/competitions/prudential-life-insurance-assessment,288th
/vazeer,Probabilities won't sum to 1 after deformation,"Hello Everyone, I am trying to make a submission. I was able to predict values for test set using xgboost. I deformed the 24838548 predicted values into 95674 obs. of 39 variables using the technique suggested by John M. [Link]:https://www.kaggle.com/c/walmart-recruiting-trip-type-classification/forums/t/17853/xgboost-multiclass-question Thus the data frame gives probability of a given VisitNumber belonging to a TripType and the sum of all probabilities for the rows overall column is 1 which should be the case But the submission asks us for probabilities for unique VisitNumber. How am I suppose to deform my existing data frame to the required one? If I sum the rows over all columns for each unique value of VisitNumber, I'll get the desired data frame but the probabilities will not sum to 1. Please provide your valuable insight.",0,None,1,Thu Dec 24 2015 14:43:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18112,/competitions/walmart-recruiting-trip-type-classification,404th
/dmitriyguller,Thoughts about this challenge,"Am I the only one getting a feeling that this challenge is a bit ""too predictable""? I've been looking at predictions for even a very simple model, and for so many observations they're extremely certain. It seems unlikely to me that human behavior is so thoroughly predictable. Are we sure that no variables that are a function of the target variable made it into the dataset?",5,silver,2,Thu Dec 24 2015 18:10:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18113,/competitions/homesite-quote-conversion,243rd
/rlucente,"After the competition is over, would the creators of the data set be willing to share the rationale used to create it?","After the competition is over, would the creators of the data set be willing to share the rationale used to create it? I think that it would be interesting. Creating data sets to show specific points is an interesting topic.",2,bronze,5,Thu Dec 24 2015 19:12:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18114,/competitions/santas-stolen-sleigh,None
/bruttoblotto,Obvious sign of data leakage?,"Hi all, currently my best single model score based on the public leaderboard is 0.72… I have been surprised by the result considering when I have been running my models using xgboost CV the results are much more optimistic. I was curious if this image indicates I am leaking data into my training model… based on this I would expect my public leaderboard to be 0.618… I have searched through my features and didn't see anything that was immediately the culprit, but I figure something structurally wrong might be at work? Thanks for any input! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/102705/3477/data_leak.png",0,None,4,Thu Dec 24 2015 19:54:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18115,/competitions/walmart-recruiting-trip-type-classification,181st
/mnemaric,Evaluation Metric,"I wanted to relate back the evaluation metric to something a little more comprehensible, to get an idea of what certain values indicate in a crude simplification of a model. Imagine we make a model which always outputs uniform CDFs within +/- (delta) mL of the target 100% of the time, centered at the actual target. For example, when the target is 300 mL, and we have a model with an implied delta of 1 mL, imagine our model outputing: 297 , 298 , 299 , 300 , 301 , 302 , 303 0 , 0 , .25 , .50 , .75 , 1 , 1 Obviously this is a huge oversimplification / generalization of a model output (and would be one HECK of a model!), but we can do some quick math to relate back our evaluation metric to certain values of delta. Note the log scale on both axes [Link]:http://imgur.com/49EZb0K So we can think of the leader right now (.02866) as essentially (though certainly not exactly) being able to estimate the target to within +/- 100 mL, which is a HUGE improvement on always outputing the CDF of the training set, which is equivalent to +/- 150 mL. If we imagine what might be ""acceptable"" in a clinical setting, say, +/- 10 mL, we're looking at roughly an evaluation score of .003. Again, this is an oversimplification of how an imaginary model could work, but hopefully this will help with anyone trying to relate back the evaluation metric to something a little more understandable.",4,bronze,3,Thu Dec 24 2015 22:17:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18116,/competitions/second-annual-data-science-bowl,None
/lvraikkonen,Any hint for single xgboost model LB higher than 0.9680?,Haven't tried ensemble method for this game. I hit wall after submitting single xgboost with 0.96805 LB. I want to know how can I improve that score? PS. I'm using xgboost python. Any different score from using same model in R?,0,None,10,Fri Dec 25 2015 00:13:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18119,/competitions/homesite-quote-conversion,175th
/thirdwing,Deep Learning Model in R,"Hi, all, We are providing a deep learning model in R using the mxnet package. [Link]:https://github.com/dmlc/mxnet/blob/master/example/kaggle-ndsb2/Train.R It is the same network structure and parameters with the model from Bing Xu. And of course they have the same lb score. As a R user for years, I personally feel a little unhappy that we don't have good deep learning tools in R. Even the deep learning tutorials on Kaggle are all using python. Now we have mxnet! To install the mxnet R package, please follow the instructions from: [Link]:http://mxnet.readthedocs.org/en/latest/build.html#r-package-installation We also provide several tutorials: [Link]:http://mxnet.readthedocs.org/en/latest/R-package/index.html#tutorials Right now the model is using pre-processed csv files by python code. I will add the preprocessing R code later.",18,gold,40,Fri Dec 25 2015 06:30:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18122,/competitions/second-annual-data-science-bowl,None
/tomrod,Many categoricals?,"I'm note sure how to share notebooks here, so I'm pasting in the number of unique values for every field. It appears most of the inputs can be treated as categorical -- what do you think? CoverageField11A 26 CoverageField11B 26 CoverageField1A 26 CoverageField1B 26 CoverageField2A 25 CoverageField2B 25 CoverageField3A 25 CoverageField3B 25 CoverageField4A 25 CoverageField4B 25 CoverageField5A 3 CoverageField5B 4 CoverageField6A 3 CoverageField6B 4 CoverageField8 7 CoverageField9 12 Field10 8 Field11 11 Field12 2 Field6 8 Field7 28 Field8 38 Field9 5 GeographicField10A 1 GeographicField10B 2 GeographicField11A 26 GeographicField11B 25 GeographicField12A 26 GeographicField12B 24 GeographicField13A 25 GeographicField13B 25 GeographicField14A 2 GeographicField14B 20 GeographicField15A 26 GeographicField15B 24 GeographicField16A 26 GeographicField16B 26 GeographicField17A 26 GeographicField17B 26 GeographicField18A 2 GeographicField18B 25 GeographicField19A 26 GeographicField19B 26 GeographicField1A 26 GeographicField1B 26 GeographicField20A 26 GeographicField20B 26 GeographicField21A 2 GeographicField21B 23 GeographicField22A 2 GeographicField22B 12 GeographicField23A 2 GeographicField23B 26 GeographicField24A 25 GeographicField24B 25 GeographicField25A 25 GeographicField25B 25 GeographicField26A 26 GeographicField26B 25 GeographicField27A 25 GeographicField27B 24 GeographicField28A 26 GeographicField28B 26 GeographicField29A 26 GeographicField29B 26 GeographicField2A 26 GeographicField2B 26 GeographicField30A 26 GeographicField30B 26 GeographicField31A 26 GeographicField31B 26 GeographicField32A 26 GeographicField32B 26 GeographicField33A 26 GeographicField33B 26 GeographicField34A 26 GeographicField34B 26 GeographicField35A 26 GeographicField35B 26 GeographicField36A 26 GeographicField36B 26 GeographicField37A 26 GeographicField37B 26 GeographicField38A 26 GeographicField38B 26 GeographicField39A 26 GeographicField39B 26 GeographicField3A 25 GeographicField3B 25 GeographicField40A 26 GeographicField40B 26 GeographicField41A 26 GeographicField41B 26 GeographicField42A 26 GeographicField42B 26 GeographicField43A 26 GeographicField43B 26 GeographicField44A 26 GeographicField44B 26 GeographicField45A 26 GeographicField45B 26 GeographicField46A 26 GeographicField46B 26 GeographicField47A 26 GeographicField47B 25 GeographicField48A 26 GeographicField48B 26 GeographicField49A 26 GeographicField49B 26 GeographicField4A 25 GeographicField4B 25 GeographicField50A 26 GeographicField50B 26 GeographicField51A 26 GeographicField51B 26 GeographicField52A 26 GeographicField52B 26 GeographicField53A 26 GeographicField53B 26 GeographicField54A 26 GeographicField54B 26 GeographicField55A 26 GeographicField55B 26 GeographicField56A 2 GeographicField56B 25 GeographicField57A 26 GeographicField57B 26 GeographicField58A 26 GeographicField58B 26 GeographicField59A 26 GeographicField59B 26 GeographicField5A 2 GeographicField5B 14 GeographicField60A 2 GeographicField60B 26 GeographicField61A 2 GeographicField61B 25 GeographicField62A 2 GeographicField62B 19 GeographicField63 3 GeographicField64 4 GeographicField6A 26 GeographicField6B 26 GeographicField7A 25 GeographicField7B 24 GeographicField8A 26 GeographicField8B 25 GeographicField9A 26 GeographicField9B 26 Original_Quote_Date 868 PersonalField1 2 PersonalField10A 26 PersonalField10B 26 PersonalField11 5 PersonalField12 5 PersonalField13 4 PersonalField14 30 PersonalField15 22 PersonalField16 50 PersonalField17 66 PersonalField18 61 PersonalField19 57 PersonalField2 2 PersonalField22 7 PersonalField23 13 PersonalField24 14 PersonalField25 14 PersonalField26 14 PersonalField27 17 PersonalField28 7 PersonalField29 7 PersonalField30 12 PersonalField31 12 PersonalField32 12 PersonalField33 12 PersonalField34 7 PersonalField35 6 PersonalField36 6 PersonalField37 6 PersonalField38 6 PersonalField39 9 PersonalField40 10 PersonalField41 10 PersonalField42 10 PersonalField43 7 PersonalField44 12 PersonalField45 12 PersonalField46 12 PersonalField47 12 PersonalField48 7 PersonalField49 7 PersonalField4A 26 PersonalField4B 26 PersonalField5 9 PersonalField50 7 PersonalField51 7 PersonalField52 7 PersonalField53 7 PersonalField54 11 PersonalField55 11 PersonalField56 12 PersonalField57 13 PersonalField58 7 PersonalField59 7 PersonalField6 2 PersonalField60 7 PersonalField61 7 PersonalField62 7 PersonalField63 7 PersonalField64 3 PersonalField65 3 PersonalField66 3 PersonalField67 3 PersonalField68 4 PersonalField69 6 PersonalField7 2 PersonalField70 7 PersonalField71 7 PersonalField72 8 PersonalField73 7 PersonalField74 8 PersonalField75 9 PersonalField76 10 PersonalField77 11 PersonalField78 7 PersonalField79 13 PersonalField8 3 PersonalField80 14 PersonalField81 14 PersonalField82 14 PersonalField83 7 PersonalField84 7 PersonalField9 3 PropertyField10 5 PropertyField11A 2 PropertyField11B 5 PropertyField12 7 PropertyField13 4 PropertyField14 4 PropertyField15 15 PropertyField16A 26 PropertyField16B 26 PropertyField17 8 PropertyField18 10 PropertyField19 10 PropertyField1A 26 PropertyField1B 26 PropertyField20 3 PropertyField21A 26 PropertyField21B 26 PropertyField22 5 PropertyField23 13 PropertyField24A 26 PropertyField24B 26 PropertyField25 11 PropertyField26A 26 PropertyField26B 26 PropertyField27 17 PropertyField28 4 PropertyField29 2 PropertyField2A 2 PropertyField2B 21 PropertyField3 2 PropertyField30 2 PropertyField31 4 PropertyField32 2 PropertyField33 4 PropertyField34 2 PropertyField35 3 PropertyField36 2 PropertyField37 2 PropertyField38 2 PropertyField39A 26 PropertyField39B 26 PropertyField4 2 PropertyField5 2 PropertyField6 1 PropertyField7 19 PropertyField8 2 PropertyField9 3 QuoteConversion_Flag 2 SalesField10 19 SalesField11 20 SalesField12 22 SalesField13 8 SalesField14 12 SalesField15 12 SalesField1A 25 SalesField1B 25 SalesField2A 26 SalesField2B 26 SalesField3 2 SalesField4 5 SalesField5 5 SalesField6 24 SalesField7 7 SalesField8 61530 SalesField9 2 dtype: int64 copy",2,bronze,4,Fri Dec 25 2015 06:42:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18123,/competitions/homesite-quote-conversion,1135th
/casalicchio,How do you cross-validate?,"Hi all, how do you cross-validate your model? Currently, I am using 4-fold CV without stratification, which sometimes seems to underestimate the leaderboard score. Does someone use CV with stratification?",0,None,17,Fri Dec 25 2015 09:58:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18126,/competitions/prudential-life-insurance-assessment,49th
/seeitnow,Trouble importing Caffe ,Hi I am trying to import caffe as mentioned in tutorial. Installed all the prerequisites . It is failing for src/caffe/common.cpp:1:28: fatal error: boost/thread.hpp: No such file or directory Tried to search this online but not good solution. Has anybody encountered this problem? Thanks,0,None,2,Fri Dec 25 2015 21:01:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18128,/competitions/second-annual-data-science-bowl,None
/s69sharm,"""-1""",Did you guys get decent results w/ trying to fill in the -1s? I've tried the common sense feature splits/aggregations on dates. I've also tried quadratic and interaction effects on the top 10 most important numerical features but they were pretty much ignored by gbm. Running out of ideas for engineering new features. :),1,bronze,4,Sat Dec 26 2015 02:30:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18130,/competitions/homesite-quote-conversion,519th
/mattut,Countries file,"Which countries is the ""destination km2"" column measured between? One of the countries is ""country destination"" - the first column- on the row. The other country?",0,None,13,Sat Dec 26 2015 02:59:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18131,/competitions/airbnb-recruiting-new-user-bookings,None
/zhenxu1,"xgboosting error, label set cannot be empty","label set cannot be empty, someone meet with it before? Thanks clips: print(""Train a XGBoost model"") X_train, X_valid = train_test_split(test_trans_df, test_size=0.12, random_state=10) dtrain = xgb.DMatrix(X_train) dvalid = xgb.DMatrix(X_valid) watchlist = [(dtrain, 'train'), (dvalid, 'eval')] gbm = xgb.train(params, dtrain, num_boost_round, evals=watchlist, \ early_stopping_rounds=100, feval=rmspe_xg, verbose_eval=True)",1,bronze,5,Sat Dec 26 2015 07:43:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18133,/competitions/walmart-recruiting-trip-type-classification,913th
/jagpreet1058,Submission File,"I have an new to Machine Learning and Kaggle. My question might be too trivial but I'll appreciate if someone can help me with it. I have executed my model after doing some feature engineering. The submission file which I created has probabilities for each Crime category. As the submission sample says, the data should be only 0 and 1. I am trying to replace maximum probability column with 1 and rest all 0 for a particular row. I have tried doing so in R and Python. Unfortunately, it is taking too long for this. Basically because of 8 lakh rows in the test data. Need your help in suggesting me a good and efficient way to convert those values. Thanks you !",1,None,3,Sat Dec 26 2015 09:32:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18134,/competitions/sf-crime,2061st
/alexandrudaia,Competition metric,"Hi all, Just thinked to start with this competition thus it is a little late. I wanted to ask if somewone implemented in the scripts the competition metric?",0,None,2,Sat Dec 26 2015 10:14:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18135,/competitions/prudential-life-insurance-assessment,1300th
/functor,How to use kaggle script,"I fork the script [Link]:https://www.kaggle.com/davidgasquez/airbnb-recruiting-new-user-bookings/user-data-exploration and try to run it online, but i get the following error OSError: File b'../input/train_users.csv' does not exist It seems like that I should change the path. But what is the correct one.? Or should I do something else to make it work?",0,None,1,Sat Dec 26 2015 16:37:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18137,/competitions/airbnb-recruiting-new-user-bookings,247th
/mahdiman,Some Fields Have no value!,"In the training data and the test data, There are fields that have no value (empty) for some samples like field Employment_Info_6 row #14 in test data, What is the meaning of this?",0,None,1,Sat Dec 26 2015 17:03:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18138,/competitions/prudential-life-insurance-assessment,None
/prayalankar,How to reshape data in required submission format.,hello everyone Please suggest me ways how i can convert the multi class result into required format. I have to take average for each visit or max of each probability. Please help me,0,None,5,Sat Dec 26 2015 19:38:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18140,/competitions/walmart-recruiting-trip-type-classification,602nd
/benhamner,Kaggle Datasets,"We just released [Link]:https://www.kaggle.com/datasets, a new section of the site that will provide a home for datasets that aren't associated with machine learning competitions. As a data scientist, most datasets you work with have many others that have worked with them before. However, their work isn't systematically captured and shared. This means you're starting from a blank slate each time you open a new dataset, and aren't able to leverage their previous analysis plus cleaning and preprocessing work. Additionally, many public datasets are poorly documented and inconsistently formatted, which means you need to waste a lot of time simply understanding what's in them and what they may contain. For example, look at the [Link]:https://www.census.gov/programs-surveys/acs/data.html page on the Census website, and compare it to the corresponding code list on [Link]:https://www.kaggle.com/census/2013-american-community-survey/scripts?sortBy=votes. The former requires you to go through many pages to download the raw dataset and understand what's in it. On Kaggle, you have many examples of how others have used the dataset to both help you understand what's in it as well as providing a forkable and executable starting point for your own analysis. You don't need to do the drudge-work of figuring out how to plot features of the dataset on a US Map - others have already done that for you. The version of this that we've released so far is very early, and it's something that we're actively developing and iterating on. Please let us know if there's any aspects of the current interface you find confusing and whether you have any suggestions for improvement. Three of the new datasets we've added for exploration are [Link]:https://www.kaggle.com/kaggle/us-baby-names, [Link]:https://www.kaggle.com/kaggle/sf-salaries, and the [Link]:https://www.kaggle.com/benhamner/nips-2015-papers. I encourage you to explore these datasets and share what you find! We'll be dramatically expanding the datasets available through this framework. If you have any datasets that you'd love to see on Kaggle, please let us know here or email me at ben.hamner@kaggle.com.",9,silver,2,Sat Dec 26 2015 20:22:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18141,None,None
/proman502,Memory Problem in R,I am getting an error for memory allocation while I am creating 5000 feature variables in R. Is there any way to get rid of this error? I am using 64 bit machine (8gb RAM) Thanks!,0,None,1,Sat Dec 26 2015 23:13:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18142,/competitions/walmart-recruiting-trip-type-classification,None
/abhijitsawant,scikit-learn SVC and LinearSVC to fit model,"Hello, I am beginner in Machine Learning. I know basic concepts and trying to get exposure to practical machine learning problems by working on competition problem on Kaggle. I am using scikit-learn to come up with prediction model. I tried SVC (using RBF kernel) and LinearSVC with grid search but not able to go beyond score of 0.45. I would like to know if any one out there is using scikit-learn for this problem. In that case I would like to know your experience and exchange thoughts. Even if you are not using scikitlearn it would be helpful to hear from experts about use of SVM to solve this problem; whether it is appropriate algorithm for this type of problem? Apart form that whether scikit-learn is appropriate tool? Thank you",0,None,40,Sun Dec 27 2015 04:42:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18143,/competitions/prudential-life-insurance-assessment,1114th
/zhenxu1,xgboosting predication of a matrix,"I have only experience predict one output with xgboosting, here we have a matrix. Can xgboosting predict a matrix as the output file is matrix of triptype_ (38 columns with probabilities)? clips like this does not work. dtrain = xgb.DMatrix(X_train[features_train],X_train[output_train]) dvalid = xgb.DMatrix(X_valid[features_train],X_valid[output_train]) watchlist = [(dtrain, 'train'), (dvalid, 'eval')] gbm = xgb.train(params, dtrain, num_boost_round, evals=watchlist, \ early_stopping_rounds=100, feval=rmspe_xg, verbose_eval=True) Thanks,.",0,None,1,Sun Dec 27 2015 07:05:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18144,/competitions/walmart-recruiting-trip-type-classification,913th
/johanjordaan,What can be shared?,"Ok, so the rules say that code and data cannot be shared. But what constitutes data? If I draw some graphs of the data is that considered data? Just asking ….",0,None,2,Sun Dec 27 2015 14:00:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18147,/competitions/telstra-recruiting-network,951st
/yilihome,PropertyField6,"PropertyField6 appears to be all 0 in the train.csv. Do you guys think this is an error (maybe it takes on different values in the test set) or intentional (if so, any way to use this ""non-information"")? Likewise, GeographicField10A is also all -1.",0,None,2,Sun Dec 27 2015 18:42:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18151,/competitions/homesite-quote-conversion,15th
/skylibrary,Training Neural network with scipy sparse matrix?,I want to ask if people are training neural networks with sparse matrix as input? I try to do so:read in libsvm format and feed into keras but getting following error: TypeError: sparse matrix length is ambiguous; use getnnz() or shape[0] Is it because I am not doing it right or keras don't support sparse input?,2,bronze,6,Mon Dec 28 2015 00:14:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18154,/competitions/walmart-recruiting-trip-type-classification,93rd
/r4ch31r,NULL Score?,"Can anyone explain what a ""NULL"" score means? My submission went through (after many tries and cleaning it up so no decimals, zeroes, etc.). Finally I didn't get an error message. I got to the Kaggle leaderboard which said ""Your submission scored NULL, which is not an improvement of your best score. Keep trying! "" (My previous score was 0). I understand how a score could be positive (good), zero (no better than random), negative (worse than random). But what is NULL? Any suggestions of what I need to change in my submission to actually see what the score is for my predictions….?",0,None,3,Mon Dec 28 2015 00:36:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18155,/competitions/prudential-life-insurance-assessment,1268th
/ashhafez,Congrats to the winners and top 10! ,Very exciting to watch the last day's jumps. Great stuff. Please spill the beans on the secrets ! :D,3,bronze,5,Mon Dec 28 2015 02:11:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18156,/competitions/walmart-recruiting-trip-type-classification,17th
/happycube,Source code thread...,"This is the code I used to get into the top 10%. The feature engineering was so-so, so the best xgb was ~.685 (an ensemble of two runs with different parameters), and the nn got into the .66x range. The ensemble was oddly effective however, getting .61x in both LB's. The two separate ipynb's were run on different systems (xgboost on a dual Xeon w/48GB, the other an i7 with gf 760) With better feature engineering I think I could've gotten into the top 50, maybe 25. I just stopped after Friday night, figuring that I wouldn't be able to reach the top 10. Not great commenting either, but eh. ;) License isn't mentioned in the code, but I'll say Apache2. Hope to see other people add their own code to this thread! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/102960/3494/wm-xgb.ipynb [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/102960/3495/wm-keras.ipynb",18,gold,22,Mon Dec 28 2015 04:27:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18157,/competitions/walmart-recruiting-trip-type-classification,94th
/abhishek,Decoding UPC,"In the starting of the competition, I posted a thread asking about UPCs ( [Link]:https://www.kaggle.com/c/walmart-recruiting-trip-type-classification/forums/t/17263/upc). After digging through the UPCs, I found out that these are not the UPC-A being used by Walmart. Walmart API lets you search products by UPC number : Search by UPC (Unique Product Code): http://api.walmartlabs.com/v1/search?apiKey={apiKey}&query={UPC} copy I tried some of the UPCs in the API to make sure they work. To my surprise none of the UPCs I tried worked. So, I started reading about UPCs. UPCs are Universal Product Code that consists of the company code, a product number and a checksum. [Link]:http://gtin.info/wp-content/uploads/2013/12/diagram-upc-anatomy.gif The UPCs that we were provided with didnt have the checksum. Moreover UPC-A must be 12 digits long (standard). Length counts of UPCs in the dataset: 0: 4129, 3: 7, 4: 29745, 5: 372, 7: 1, 8: 412, 9: 2166, 10: 433341, 11: 168418, 12: 8463 copy To tackle this, I started with calculating the checksum first: def checksum(x): try: odd = map(int, ','.join(x[-1::-2]).split(',')) even = map(int, ','.join(x[-2::-2]).split(',')) sum_odd3 = sum(odd) * 3 total = sum_odd3 + sum(even) rem = total % 10 if rem == 0: return rem return 10 - rem except: return -9999 copy Added this checksum to end of all the UPCs and for all UPCs with a length of less than 12, I found the full UPC number: def full_upc(x): try: if len(x) < 12: missing = 11 - len(x) zeros = ['0'] * missing xx = zeros + ','.join(x).split(',') + [str(check_digit(x))] xx = ''.join(xx) return xx except: return -9999 copy If the UPC was not present (nan), I marked it -9999. There are some products in the dataset with a length of 4 or 5. It seemed to me that these are the in-house products e.g. chicken etc. Since I didnt have much time to investigate this, I marked the company IDs as the first 6 digits of the UPC. (they can vary from 6 to 9). If the UPC were def company(x): try: p = x[:6] if p == '000000': return x[-5] return p except: return -9999 copy Example: UPC in dataset: 7410811099 Full UPC: 074108110992 Company: 074108 Item: 11099 Checksum: 2 copy API response of provided UPC: {""errors"":[{""code"":4023,""message"":""UPC not found""}]} copy API response of corrected UPC: {""items"":[{""itemId"":876437,""parentItemId"":876437,""name"":""Conair 1 1/4'' Instanst Heat Curling Iron"",""salePrice"":12.74,""upc"":""074108110992"",""categoryPath"":""Home Page/Beauty/Hair Care/Hair Styling Tools"",""shortDescription"":""Bring home the 1 1/4'' Conair Instant Heat Curling Iron to create soft, touchable curls or loose waves. You can also use it to add volume or playful flips. The dual voltage curling iron has a 1 1/4&quot; chrome barrel, which heats up in 60 seconds, allowing you to get a quick start to your day. If left unattended, this curling iron will automatically shut off. TRUNCATED...! copy For non-standard UPCs: UPC in Dataset: 4011 Full UPC: 000000040112 Company: 40 Item: 11 copy This did give me some boost in the end of the competition but i didnt invest much time in this. In case someone is interested, they might give this a try and let us know how it helped them :)",24,gold,6,Mon Dec 28 2015 10:20:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18158,/competitions/walmart-recruiting-trip-type-classification,11th
/jonathanslomka,Any success with feature engineering or transforming the data ?,"Hi kagglers, I guess I'm not the only one that has problems with getting better results with my models using feature engineering. Even one hot encoding didn't improved my score. My LB improvements come from combining models (and probably some overfitting with my parameters). Did someone had success on this part ?",0,None,9,Mon Dec 28 2015 10:42:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18159,/competitions/prudential-life-insurance-assessment,134th
/datayogi,learning rate in boosting,"learning rate is one of the regularization parameters in boosting techniques..what exactly learning rate does: helps in avoiding overfitting? or, decides the pace at which algorithm converges (achieves a local minima?) i guess its the second, a large learning rate factor might lead to divergence or overshooting the minima. But someone told me that a low learning rate helps in avoiding overfitting..is it true?",0,None,2,Mon Dec 28 2015 12:33:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18161,/competitions/homesite-quote-conversion,64th
/caaa81,Help wanted ;-),"Hi to everybody from Spain, I have a lot of ideas on how to the solve the questions we can see on kaggle, but I need some help coding it into R or Python. I want to create an international group to solve the competitions as a team. Are you interested? I you want to join me, please reply with your email. Tank you. Saludos,",1,bronze,1,Mon Dec 28 2015 12:56:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18162,None,None
/thomasseleck,Model uploading on Kaggle,"Hello everyone, What is the maximum size of the file we can upload in the ""Upload your model"" section? My model and its data is about 6GB and I don't know if it fits in.",0,None,3,Mon Dec 28 2015 14:30:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18164,/competitions/the-allen-ai-science-challenge,61st
/abhishek,Some Feature Generation Code,"Hi, I have uploaded my dataset generation and feature generation code here: [Link]:https://github.com/abhishekkrthakur/walmart2015 source/create_datasets.py will generate required datasets source/*_features.py will generate the features All features are generated in libsvm format. All labels are -1! Nothing is commented, so in case of any questions ask here ;) Enjoy over 20k features.",16,gold,14,Mon Dec 28 2015 15:22:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18165,/competitions/walmart-recruiting-trip-type-classification,11th
/perone,Neural networks architectures and training methods,"Hi, just to share details regarding the Neural Network architectures, these are the models I used, I would be very interested to hear what other architectures you guys used. My best NN model used the following architecture: [Image]:http://i.imgur.com/ttqwyvR.png And I trained it with Adadelta due to the large number of sparse features, RMSProp also did good results. The total number of features used was ~11k and I did a fusion of separated features only after a single layer for each feature type, this gave me a nice ~0.02 boost. This single model gave me a 0.61 logloss. After that I trained more 8 different architectures varying parameters, number of units, layers, training method and ensembled them all together with 1 XGBoost model using model averaging. PS: I initially used Lasagne then I switched to Keras due to the amount of available layers implemented. I always used Theano backend, didn't try TensorFlow. What I tried WITHOUT any major gain of performance: PReLUs, Leaky ReLUs, BatchNormalization Self-organized maps + Convnets RBMs Adagrad, Adam, Nesterov Extracted ALS recommendation features from each visitor using Spark Different models (Logreg, RF, etc.) Different types of feature scaling (MaxAbs, etc.) Auto encoder, stacked autoencoders (long time to train, no gains at all) Pre-training with stacked autoencoders This was all that I remember right now LOL !",13,silver,6,Mon Dec 28 2015 15:40:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18166,/competitions/walmart-recruiting-trip-type-classification,24th
/jalfaizy,Convolutional Neural Network model,I have shared a basic [Link]:https://github.com/faizankshaikh/JuliaKaggle in python (sorry julia!) . Hope this helps somebody,0,None,2,Mon Dec 28 2015 19:47:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18168,/competitions/street-view-getting-started-with-julia,None
/inversion,But what could it possible mean?,I'm moving my kaggle files to a new drive. I wonder if this is some sort of sign. [Image]:http://i.imgur.com/uJOalna.png EDIT: Perhaps it means I can't spell titles correctly. lol *possibly,3,bronze,2,Mon Dec 28 2015 20:44:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18169,None,None
/lkosma,Santa's Stolen Sleigh Simple Heuristic,Idea is nice. Sledge capacity is 990 (1000-sledge weight) You code seems to only loop through 5% of the data (5k out of 100k gifts),0,None,3,Mon Dec 28 2015 20:48:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18170,None,None
/incitatus451,Clustering visualization,"I got 1411 clusters, they look like [Link]:http://i.imgur.com/5SGUrlU.gifv. Sorry about the color changing.",1,bronze,4,Mon Dec 28 2015 21:01:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18171,/competitions/santas-stolen-sleigh,879th
/benlindsay,Limits to sharing data/results after competition deadline,"I'm new to Kaggle. I'd be interested in sharing a some of my results from Kaggle competitions on my personal blog after the competitions are over. I know that each competition has different rules about how the data can be used. In the case of competitions that state: Participants … agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Data to any party not participating in the Competition. Does this apply only to the duration of the competition? i.e. Am I free to share the data after the competition has ended? If not, then what's the limit of what I can talk about? Can I talk about what methods gave the best accuracy for me? Can I show graphs of the data from which the data might be able to be reconstructed or approximated? Can I make small subsets of the data available? Any thoughts or links that can help answer this question would be appreciated.",0,None,4,Wed Dec 30 2015 15:04:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18189,None,None
/yilihome,cHaversine ,"For Python users, I found that the cHaversine package is about 500% faster than the standard haversine package. It's extremely easy to use regardless what optimizer you're running… pip install cHaversine from cHaversine import haversine copy Speaking of optimizers, I found the following paper incredibly useful for this competition. ""An Application of Late Acceptance Hill-Climbing to the Traveling Purchaser Problem"" [Link]:http://link.springer.com/chapter/10.1007%2F978-3-642-41019-2_13 Happy new year fellow Kagglers.",9,silver,7,Thu Dec 31 2015 10:22:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18193,/competitions/santas-stolen-sleigh,85th
/whtngks123,"countries file, sessions file",i don`t know that what lat_destination and ing_destionation means in countries.csv i don`t know that what secs_elapsed means in sessions.csv help,-1,None,1,Fri Jan 01 2016 16:07:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18209,/competitions/airbnb-recruiting-new-user-bookings,None
/bluecow,Can't properly submit; Even benchmark does not work,"I'm a first time submitter. I can't understand why even when I submit the benchmark submission (attached/added) that I get a score of 0.00 and not the expected .679. I'm not sure what might be structurally wrong with the file. Currently, there are three lines for each id with country as NDF for every line. I also submitted an alternate version with only one line for each id and achieved the same zero score. One possibility I haven't follow up on: Do id's need to be in the same order as originally sorted in the test data? I've sorted on id. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/103364/3511/submission.csv",0,None,2,Fri Jan 01 2016 18:19:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18210,/competitions/airbnb-recruiting-new-user-bookings,1027th
/jindal,Interchanging Response Categories,"The percentages of Response 1 to 8 are 10.5%, 11%, 1.7%, 2.4%, 9.2%, 18.9%, 13.5% and 32.8%, respectively for the training data set. Since the Response 3 and 4 have very low percentages and the output using mlr.xgboost contained very high percentage of both categories compared to training dataset, I thought why just not swap category 3 and 4 with 1 and 2, respectively. When I trained this dataset with mlr.xgboost I got a cv error of 0.7159877 while I was getting 0.64 cv error with original Response categories. But when I submitted the solution, with swapping the categories back of course, I got a LB score of 0.611. Any thoughts on this? Is there a better way to use this?",0,None,6,Sat Jan 02 2016 08:07:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18213,/competitions/prudential-life-insurance-assessment,94th
/jankukacka,Submissions per day,Is the allowed number of submissions per day limited to 2 on purpose?,0,None,1,Sat Jan 02 2016 18:01:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18215,/competitions/anomaly-detection-challenges-2015-challenge-5,1st
/saj1919,Ensemble of two models giving low score !!!,"Hi, I have two model XGB and RF both are giving >0.87 on LB. As a next step I did two separate tries of ensemble : 1) added probabilities got from both models and then took top 5 countries for each user. 2) generated ranks from probabilities for both models, then added and then took top 5 countries for each user. Both gave less score than my single model best. Any ideas for enemble ?? (Considering the contest .. expecting general ideas, not specific to this problem) Thanks.",0,None,7,Sat Jan 02 2016 18:26:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18216,/competitions/airbnb-recruiting-new-user-bookings,349th
/abhishm,changes were lost?,"I wrote a notebook. I ran every cell of the notebook. After some time, I got a message from the Kaggle that the kernel is shut down because of the inactivity. After that when I open the same notebook, some of my changes were lost. Is there any way to save your notebook while working?",1,None,7,Sat Jan 02 2016 20:09:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18217,None,None
/xyzheng123,book before signup,I found in training data that some people book their first stay before they even signed up. How does this happen? Is this some kind of error?,0,None,1,Sat Jan 02 2016 22:08:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18219,/competitions/airbnb-recruiting-new-user-bookings,285th
/leandrocc,Final evaluation,The rule is very vague w.r.t. how the final evaluation will be done. What can change in the dataset? How can one make a choice of a solution completely in the dark?,0,None,6,Sat Jan 02 2016 22:50:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18220,/competitions/santas-stolen-sleigh,16th
/alchemist,Worth entering the competition ?,"Hi guys, the competition looked very interesting in the beginning but due to lack of time I wasn't able to enter it yet. I did read that there was a problem with the way the train / test / evaluation data was split, and as far as I understand the current public leaderboard is meaningless. The question are: 1) is everything clear now ? From what I've seen, there was no explanation of what the problem is. 2) is the current leaderboard relevant ? 3) is the competition worth entering ?",2,bronze,6,Sat Jan 02 2016 23:13:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18221,/competitions/the-winton-stock-market-challenge,326th
/eddieelizondo,Missed first submission deadline,"I just realized I missed the first submission deadline, since I had been looking only at the far right end of the time bar and 8 Jan 2016. I'm still developing and didn't submit a throwaway submission. Big mistake. Could someone no longer developing be willing to provide access by adding me to their team? (Would that work? This is my first kaggle try.) Would be trying implement a solution using xpress. Many thanks.",0,None,5,Sun Jan 03 2016 00:06:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18222,/competitions/santas-stolen-sleigh,None
/datanight,Python: Is there any elegant way to convert Dataframe to libsvm format?,"Hi, I am a new user of python, when preprocessing data, I sometimes need to convert the pandas.Dataframe to libsvm format. Is there any convenient way to do that?",1,None,5,Sun Jan 03 2016 03:01:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18223,/competitions/telstra-recruiting-network,545th
/tonygracious,How to install cuda and configure theano to use GPU ?,"I downloaded cuda 7.5 when I tried to install I got the following error. The following packages have unmet dependencies: cuda : Depends: cuda-7-5 (= 7.5-18) but it is not going to be installed E: Unable to correct problems, you have held broken packages. I am using linux mint 17.2 cinnamon 64-bit",0,None,2,Sun Jan 03 2016 07:37:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18224,/competitions/walmart-recruiting-trip-type-classification,278th
/yilihome,Two Insights for 0.96852,"Spent hours exploring the dataset and engineering the features. Two insights that gave me the biggest jump in score (almost +100 places on the LB): Simply changing all NAs to 0s turns out to be a bad strategy. The only two columns with NAs / blanks are PersonalField84 and PropertyField29. Specifically, PropertyField29 is mostly 0s (which means something and converting NAs to 0 will negate that information). Hence, it was much better to change all the NAs to -1 (consistent with the coding of missing data in other columns). Counting and summing the number of NAs (-1) and 0s across each quote seem to help. This makes intuitive sense since if an applicant has left many fields blank (or uncodable), then he or she is probably less serious about taking / accepting the quote. There are other quote-level features through binning but those helps only marginally. Of course there are many other things you can do with the features but these two made 80% of the difference for me and helped to push my best single xgboost model to 0.96852 on the LB. Upvote if you find this helpful. Have fun :)",63,gold,43,Sun Jan 03 2016 11:16:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18225,/competitions/homesite-quote-conversion,15th
/dkronenberg,Looking for advice on where to begin learning Keras,"Hi I was wondering what the best way to go about learning Keras was, in terms of tutorials? The one on their site on the keras site just looked like code example without any explanations and google didn't return anything much better. Also will I need to learn either Theano or TensorFlow to be able to use Keras effectively, or does it simply use them under the covers? Thanks",0,None,2,Sun Jan 03 2016 11:29:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18226,None,None
/happycane,On Data Cleaning,"Greetings! I'm working on a rather big dataset ( [Link]:https://archive.ics.uci.edu/ml/datasets/Online+News+Popularity) and right now I'm amidst the cleaning process. So I wonder, is it considered a good practice to transform numeric variables into factors in order to approximate normality? (let's consider that we have a reasonable range, i.e. age or, in our situation, number of words in the title). My purpose is to clean the data in order to apply a linear model later. Thank you in advance!",0,None,3,Sun Jan 03 2016 22:29:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18228,None,None
/rscho314,Imputation and prediction power,"Hi all, First of all, I am a self-learner from another field, so please bear with me. I fitted gradient boosted tree classifiers to explore variable importance and prediction (LB 0.485, no optimization of hyperparameters). It seems that many high-importance variables happen to also present a high proportion of missing data. So, I tried imputation to see if I could get a prediction power boost. Since scikit only imputes in simple manners, I tried to use tree-based models (RF, gradient boosted…) for imputation. To my surprise, imputation of the categorical variables seems to be a nice success by looking at the pre and post imputation distributions. I suppose that given the high number of training observations, one may consider those distributions probably representative of those of the private test set. However, continuous variables imputation using tree-based regressors is a complete failure (high bias, overfits the data). Why is there such a performance difference between categorical vs. continuous variables imputation? As an aside, I do know that this is not a usual technique for imputation, so what would the optimal imputation technique be on a dataset such as this one? The distributions (red is imputed, blue pre imputation): [Image]:http://i.imgur.com/PUD0H9G.png Variable importances: [Image]:http://i.imgur.com/D45yD0T.png Prediction distribution (CV score 0.588): [Image]:http://i.imgur.com/c9z888N.png",3,bronze,2,Mon Jan 04 2016 00:14:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18229,/competitions/prudential-life-insurance-assessment,2388th
/arubin88,open source code?,"To what extent is open source software allowed in this competition? For example can we use opencv, skimage, or even something as common as pandas? I assume submitted code is uploaded to a server and ran against the test data, so we must make some assumption about what packages will available on the kaggle servers so that our model runs properly. Sorry for the basic question, I did try searching on the competition forum and elsewhere on the kaggle site but I couldn't find a concrete answer to my question.",0,None,1,Mon Jan 04 2016 01:26:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18230,/competitions/second-annual-data-science-bowl,None
/andrewyue,A candidate evaluation question,"Hi! I have a question regarding the following part of the competition description: Kagglers who impress with their answer (and an explanation of how they got there) will be considered for an interview for the opportunity to join Airbnb's Data Science and Analytics team. Will the Airbnb team reach out to those that perform well in the competition and request an explanatory summary, or should a summary (via Kaggle script / Github / etc.) be made available in advance of the competition deadline?",0,None,1,Mon Jan 04 2016 02:34:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18231,/competitions/airbnb-recruiting-new-user-bookings,146th
/suru27,Can we apply linear regression on an ordinal dependent variable?,"Hi, Was reading on statistical techniques when dependent variable is an ordinal one. Few links below: [Link]:https://en.wikipedia.org/wiki/Ordinal_regression [Link]:http://www.theanalysisfactor.com/when-dependent-variables-are-not-fit-for-glm-now-what/ [Link]:http://www.theanalysisfactor.com/dependent-variables-never-meet-normality/#more-688 [Link]:https://www.researchgate.net/post/What_is_the_right_regression_model_to_use_when_my_dependent_variable_is_rated_on_a_7_point_Likert_scale Now, it looks to me as a grey area, more tilted towards avoiding linear regression when dependent value is ordinal as it does not follow all crietria for linear regression (here dependent variable is bounded between 1 to 8 ). So, considering this , even if a linear regression gives better prediction accuracy, statistically, is it right to apply linear regression model for this competition?",0,None,3,Mon Jan 04 2016 07:56:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18234,/competitions/prudential-life-insurance-assessment,1729th
/ajayram,Getting public score of 0,"Hello, I followed the Titanic Tutorial in Python from here., [Link]:https://www.dataquest.io/mission/74/getting-started-with-kaggle . I followed all the instructions and tried their linear regression with thresholding. I am getting a public score of 0, I dont know why . I checked the csv file a few times to see the format but it looks okay. Could someone please help me out?",0,None,4,Mon Jan 04 2016 08:21:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18235,/competitions/titanic,None
/muthu1086,XGBoost with optimized offsets,"Hi, Am relatively naive in python, can u pls clarify what the below line is actually doing copy ""data[1, data[0].astype(int)==sv] = data[0, data[0].astype(int)==sv] + bin_offset"" Thanks Muthu",0,None,52,Mon Jan 04 2016 12:22:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18236,None,None
/adityakawatra,Are all the rows for different stocks and different time periods?,It seems that all the rows in the training data set are for different stocks and different time periods. Am I correct in my understanding?,0,None,1,Mon Jan 04 2016 14:21:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18237,/competitions/the-winton-stock-market-challenge,None
/yoyosisco,Are non Australian individuals eligible for the job?,,6,silver,12,Mon Jan 04 2016 15:15:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18238,/competitions/telstra-recruiting-network,580th
/morglum,"Converting the XGB_stop (R, 0.96817) to python","Hi all, Newbie here, trying to get started in Python. I've stumbled upon version 8 of the XGB_stop script and tried to convert it to python. It works, but I dont get the score as I'm hoping for (0.98602 vs 0.98617). Can someone help me spot what I'm doing wrong? Thanks! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/103581/3516/xgb_stop_to_python.py",1,bronze,17,Mon Jan 04 2016 15:49:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18239,/competitions/homesite-quote-conversion,429th
/skw1990,Weightage,"Hi, Novice question: I still can't comprehend the 2 weightage variables. What are their significance? Thanks in advanced if someone could explain that in more details. Best wishes.",0,None,1,Mon Jan 04 2016 17:44:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18241,/competitions/the-winton-stock-market-challenge,None
/natereed,How are scripts executed?,"Where are the training and test sets located relative to the current working directory of the submitted script? Do scripts have the ability to write files to the filesystem? I'm working on the SF Crime Stats contest and want to upload an R Markdown script that does some exploratory analysis on the training set (train.csv.zip). My script fails here: unzip(""train.csv.zip"") train <- read.csv(""train.csv"", colClasses=c(""Date"", ""factor"", ""character"", ""factor"", ""factor"", ""factor"", ""character"", ""numeric"", ""numeric"")) Also tried assuming that train.csv is in the working directory (remove unzip(…)) and get the same error. This is the output: processing file: script.Rmd | | | 0% | |…… | 9% ordinary text without R code | |………… | 18% label: unnamed-chunk-1 Quitting from lines 13-17 (script.Rmd) Error in file(file, ""rt"") : cannot open the connection Calls: render … withVisible -> eval -> eval -> read.csv -> read.table -> file Execution halted",0,None,9,Mon Jan 04 2016 18:19:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18242,None,None
/jeffmoser,Homesite with Lasagne,"Nice! I haven't used Lasagne before, but your notebook was relatively easy to follow. Have you tried tweaking your learning rate and dropout percentage to see if it'd help much?",1,bronze,1,Mon Jan 04 2016 19:01:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18243,None,None
/mikew8,RapidMiner 6.5 (w/ r scripts),"Hi, I'm wondering if anyone here has used RapidMiner 6.5 (Studio), which is said to be much faster than v. 5, and has the ability to run r scripts. -- I loaded a data source with the first 50,000 records from this competitions dataset and attached it to a Random Forest model, just to see how the app works. (I got it do build a simple decision tree first, which took it almost 3 minutes.) I set the RF to generate 50 trees. After hitting run, if I click on any other any other app that running in Windows 8 the laptop hangs, requiring a power down - which I've never had to do before. If I don't select any other icon and just stay in RapidMiner, it hangs the laptop at 1:15 (the displayed timer). -- I tried running RapidMiner with no other apps open, and it makes no difference. I performed a complete checkup on my Dell laptop. Everything passes. I ran a complete scan with MalwareBytes. -- I don't have any issues with any other software. R builds neural networks (etc) at the expected speeds without any problems. -- RapidMiner Studio 6.5 (64 Bit; Basic Edition) Windows 8.0 (64 Bit); Intel Core I3 [Link]:https://www.kaggle.com/2 Ghz; 6 GB Ram. -- Anyone have any ideas what's going on? I'd like some feedback before I spend time figuring out if RapidMiner is going to be useful. Thanks. Update. -- I enabled the system monitor in rapidminer. It says ""3.4 GB used. Will use up to 5.2 GB."" I set the RF to generate 5 trees, then 10, then 15. 15 was fine, and it generated them in a few seconds. When set to 20 trees, the system monitor graph showed it was using half the resources, and then rapidminer seemed to hang at 22 seconds. I waited a few minutes and I was able to view the 20 trees, although the laptop was extremely non-responsive, and there was a several second pause after every click. After a few minutes it seemed responsive again, until I selected a different app (Firefox), which would not respond. Rapidminer was then non-responsive. I finally managed to close rapidminer, and that restarted Explorer, which reloaded all my icons again, and the system is now okay. This is not workable, as it is right now.",0,None,"Hi,  I'm wondering if anyone here has used RapidMiner 6.5 (Studio), which is said to be much faster than v. 5, and has the ability to run r scripts.  --  I loaded a data source with the first 50,000 records from this competitions dataset and attached it to a Random Forest model, just to see how the app works.  (I got it do build a simple decision tree first, which took it almost 3 minutes.)  I set the RF to generate 50 trees. After hitting run, if I click on any other any other app that running in Windows 8 the laptop hangs, requiring a power down - which I've never had to do before.  If I don't select any other icon and just stay in RapidMiner, it hangs the laptop at 1:15 (the displayed timer).  --  I tried running RapidMiner with no other apps open, and it makes no difference.  I performed a complete checkup on my Dell laptop. Everything passes. I ran a complete scan with MalwareBytes. --  I don't have any issues with any other software. R builds neural networks (etc) at the expected speeds without any problems.  --  RapidMiner Studio 6.5 (64 Bit; Basic Edition) Windows 8.0 (64 Bit); Intel Core I3 @2 Ghz; 6 GB Ram.  -- Anyone have any ideas what's going on?  I'd like some feedback before I spend time figuring out if RapidMiner is going to be useful.   Thanks.",Mon Jan 04 2016 19:55:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18244,/competitions/homesite-quote-conversion,None
/wouterd1,Access to SunnyBrook data,What is the fastest and best way to access the SAX files for the SunnyBrook Data? I did not see the actual images themselves on [Link]:http://www.cardiacatlas.org/studies/sunnybrook-cardiac-data/ - but i might be missing something / asking a dumb question. Please let me know - W,1,bronze,5,Mon Jan 04 2016 21:57:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18245,/competitions/second-annual-data-science-bowl,64th
/inspector,Time to fit 1 XGBoost model,"I have been frustrated trying to tune parameter (e.g. experimenting with hyperopt) given the time it takes to fit a single xgboost model with a moderate number of trees. If I one-hot encode the nominal variables of the training set and, say train on 70% of the records (so my training set is (41566, 952) ) and run the following xgboost model, it takes 5 minutes. Is this on par with others? Running hyperopt was incredibly painful - hours for a handful of run. Are others sampling to speed up? param = {'max_depth':10, 'eta':0.05, 'min_child_weight':5, 'subsample' : 0.7, ""objective"" : ""count:poisson"", 'silent': 0, 'nthreads': -1} model = xgb.train(params=param, dtrain=xgtrain, num_boost_round=500 ) copy",0,None,5,Tue Jan 05 2016 03:48:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18247,/competitions/prudential-life-insurance-assessment,None
/udayabhanu,Meaning of metadata attributes,"Hi, There are bunch of metadata attributes (around 90) whose meanings are not very clear. If we knew the meanings, we can use them properly in our models. Please let us know the meanings of the below items, which are metadata in DICOM images. copy PhotometricInterpretation Rows WindowCenter InPlanePhaseEncodingDirection SeriesTime InstanceNumber NominalInterval PatientSex SOPInstanceUID AcquisitionMatrix ReferencedImageSequence PositionReferenceIndicator SpecificCharacterSet TransmitCoilName Columns PixelSpacing RepetitionTime EchoTrainLength PercentPhaseFieldOfView SeriesNumber ImagedNucleus MRAcquisitionType NumberOfFrames HighBit AcquisitionNumber StudyTime SmallestImagePixelValue SoftwareVersions BodyPartExamined PatientBirthDate PatientAge PixelBandwidth BitsStored RefdPatientSequence SAR AngioFlag ImagePositionPatient ScanningSequence Manufacturer WindowWidth ReferencedStudySequence SliceLocation FlipAngle VariableFlipAngleFlag LargestImagePixelValue CommentsOnThePerformedProcedureStep InstanceCreationTime RefdImageSequence ManufacturerModelName NumberOfAverages AcquisitionTime SequenceName EchoNumbers PercentSampling SpacingBetweenSlices PatientName ImageType SOPClassUID EchoTime SeriesDescription ReferencedPatientSequence SequenceVariant BitsAllocated PerformedProcedureStepStartTime ImagingFrequency Modality PatientID SamplesPerPixel ScanOptions NumberOfPhaseEncodingSteps PerformedProcedureStepID MagneticFieldStrength TriggerTime RefdStudySequence PatientPosition ImageOrientationPatient CardiacNumberOfImages dBdt PixelRepresentation SliceThickness PixelData WindowCenterWidthExplanation PatientAddress PatientTelephoneNumbers ContrastBolusTotalDose ContrastBolusAgent ContrastBolusIngredient ContrastBolusVolume ContrastBolusIngredientConcentration ContrastFlowDuration",0,None,1,Tue Jan 05 2016 05:59:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18248,/competitions/second-annual-data-science-bowl,None
/ab19026,An extremely general and simple method to calculate the return of a stock,"If my stock finished yesterday at $70 and today the closing price of the same stock is $72.3,then the RETURN OF STOCK can be calculated as (72.3-70)/70*%100= %3.28571 Just a simple reference.I don't think that Winton will take such a babyish method.",-12,None,2,Tue Jan 05 2016 06:30:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18249,/competitions/the-winton-stock-market-challenge,None
/mikeskim,AWS usage feedback,"Kagglers, I'm currently making a tutorial on using AWS cost effectively on the DSB2016. I've used AWS with spot pricing many times across many Kaggles (via frequently scp backing up work). However, I'd like to solicit your feedback on using AWS for this particular challenge so I can build a better tutorial. Thanks, Mike (admin)",0,None,13,Tue Jan 05 2016 07:02:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18250,/competitions/second-annual-data-science-bowl,None
/del=61e42d241071f70e,Another Whale Detector,"This is a python script . After separating the color channels into principal components, it uses a combination of 1) finding the pixels with the largest difference from the median of the whole image and 2) gridding the image and comparing the histograms between the histogram of each section and the histogram of the entire image using Earth Mover's Distance. The script takes an image location and returns the coordinates for an estimated line that goes from the whale's head to tail. Bonus is that this script does not use OpenCV. It does use [Link]:https://pypi.python.org/pypi/pyemd/0.0.7, scikit image, scikit learn, numpy, and scipy. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/103650/3521/whaledet.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/103650/3522/w_4157.png",3,bronze,3,Tue Jan 05 2016 07:13:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18251,/competitions/noaa-right-whale-recognition,None
/ge0ffrey,How many partitions do you use?,"Did you partition the 100k problem? If so, how many partitions did you use? Partitioning has advantages, such as allowing you take advantage of more CPU's (if you have the hardware available - we didn't). But it also has disadvantages, because [Link]:http://www.optaplanner.org/blog/2014/03/03/CanMapReduceSolvePlanningProblems.html. In our very limited research (we started very late and did not have dedicated hardware available, just our laptops/desktops), we found that the first few nights, partitioning heavily won versus non-partitioned solving. So we first went with 5 partitions of 20K each. The number of 5 was chosen pretty arbitrarily. Because some of our laptops have only 4 cores, these even meant we could only spend half the night in CPU on 1 benchmark. A few days ago we found that optimizing those 5 partitions of 20k didn't really bring much benefit any more. If we looked at the best score over time graph, we saw clear signs of flatlining (although the best score still improved every few seconds). So 2 days ago, we decided to continue on our best known solution and solve the whole problem of 100k without partitioning ( [Link]:http://www.optaplanner.org/ can do that in 2GB RAM - not all Solvers can handle the entire problem in a reasonable amount of RAM). There we're still getting a great benefit after a night of solving: about 2m on 10 hours on a laptop. If we look at the best score over time graph, we still have a straight line going up, so no sign of flatlining yet. We did start way too late though. At the current rate, with the current deadline on Saturday, we should break below 12440 - maybe even 12430 - but CPU time and score calculation count are the bottleneck now, not optimization algorithm strength. (Our optimization algorithm is Late Acceptance.)",1,bronze,10,Tue Jan 05 2016 09:09:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18253,/competitions/santas-stolen-sleigh,73rd
/foxigav,Whos from Ireland on this?,,1,None,3,Tue Jan 05 2016 14:02:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18255,None,None
/ajaygupta,Feature Engineering?,What kind of feature engineering can be done on this data? As most of the data available are sparse in nature. Time series analysis cannot be done as id is provided. If anything innovative can be done on this dataset?,0,None,10,Tue Jan 05 2016 15:26:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18256,/competitions/telstra-recruiting-network,438th
/millerintllc,"Basic understanding of SAX, 2ch, 4ch","Let me preface my question with a quote from ""Ghostbusters II"" to set the theme: Dr. Peter Venkman: Ray, pretend for a moment that I don't know anything about metallurgy, engineering, or physics, and just tell me what the hell is going on. Dr Ray Stantz: You never studied. OK, so, I read the Data description and watch the short video, but I'm still struggling to wrap my mind around this dataset. It seems that the sax_ series of folders contain images/slices which are ultimately more relevant, given the angle at which the images were taken. However, when trying to structure this data into a usable training dataset, I'm still confused by the facts that there are multiple, but inconsistent, numbers of sax_ folders per patient the numbers appended to the sax_ folders are not in common for all patients, e.g. some have sax_6 and others don't the numbers appended to 2ch_ and 4ch_ are also inconsistent between patients There are also some inconsistencies in the number of header (hdr) fields within the sax_ images I'm stronger in R than Python, which is perhaps part of the problem. The 2 official tutorials are in Python, so perhaps I can answer some of my own questions by getting past my R-bias and trying a little harder to follow those tuts. However, if some kind soul wouldn't mind helping me to get past this initial confusion, then I'd greatly appreciate it!",1,bronze,6,Tue Jan 05 2016 16:11:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18257,/competitions/second-annual-data-science-bowl,171st
/guzzipa,I am looking for Argentine Data Scientists,"Hi, I am looking for Argentine Data Scientists. I would like to meet Argentine Data Scientists, share experience and maybe form a team for competitions. I am Data Scientist ago 5 year and I had experience in several software and projects.",0,None,1,Tue Jan 05 2016 16:37:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18259,None,None
/lalapeepo,Getting into Data Science from a different field?,"Hello. Not 100% sure where this goes but… I currently work in corporate finance (at a data company ironically) and this is my first job, two years in. I was wondering what the best course of action for crossing into data science is? My undergrad minor was comp sci/programming and I took some database courses (SQL, Python), but aside from that my background basically has nothing to do with data science. Unless you count slaving over excel sheets/financial systems and crunching numbers. At my current company there is little chance of crossing over into a data science role as the people in those roles now are all PHDs and whatnot. So I would likely be starting fresh somewhere else. I'm mainly looking for an entry level job to test the waters, nothing fancy. Not sure where to start and just blindly applying without much background seems like a shot in the dark. Grad school? Certificates? What languages/systems should I be focusing on?",0,None,2,Tue Jan 05 2016 23:33:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18262,None,None
/benhamner,SF Salaries Dataset,"One of the most popular datasets cities normally release is their salary structure. I processed and uploaded the SF salaries dataset to better understand how San Francisco pays it's employees and what that can tell us about how the city Kaggle's headquartered in runs. Some potentially interesting angles of exploration: how have salaries changed over time between different groups of people? how are base pay, overtime pay, and benefits allocated between different groups? is there any evidence of pay discrimination based on gender in this dataset? how is budget allocated based on different groups and responsibilities? I'm curious to see what you find!",5,None,8,Wed Jan 06 2016 01:50:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18264,None,None
/bottleisland,wondering about age_gender_bkts data set,I'm wondering about age_gender_bkts table. Is it explain about population of destination country by age group in 2015? I don't know exactly how can use this data set. (Administrator announced that users in train_users_2 data set are all american) What can i do through this data set?,0,None,3,Wed Jan 06 2016 02:36:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18266,/competitions/airbnb-recruiting-new-user-bookings,None
/galleej,Session length,"Hi, Can anyone give me some insights on the session length? Why are the sessions so long?",1,bronze,2,Wed Jan 06 2016 06:37:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18269,/competitions/airbnb-recruiting-new-user-bookings,None
/datanight,python: How to process category features?,"It seems that sklearn or XGBoost only accept the numeric features as input, is there any convenient way to convert category features into numeric features? As a beginner of machine learning, it really bother me a lot about the data preprocessing==",0,None,14,Wed Jan 06 2016 08:24:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18270,/competitions/telstra-recruiting-network,545th
/srsrsa,offline score calculation?,"First timer in the competition, please tolerate… Is there a way to compute scores offline before submission? Thanks",0,None,2,Wed Jan 06 2016 13:25:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18271,/competitions/homesite-quote-conversion,967th
/norton,R session aborted when merging,"I have run the tutorial code on the RStudio and everything is fine except the fatal error on merging. Incidentally, my R edition is 3.2.3. My computer is Mac with i5, so I think it should be ok to handle data around 100MB. RStudio takes a few minutes to merge but fails. Briefly, the code is presented as follows: [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/103775/3527/9E427B0D-C424-4127-BB00-2EDFD0FE0680.png",0,None,9,Wed Jan 06 2016 13:39:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18272,/competitions/facial-keypoints-detection,None
/,caret_cv,,-8,None,1,Wed Jan 06 2016 14:42:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18273,None,None
/inspector,XGBoost Tuning Strategy,"One strategy that has been discussed is to… Set a relatively high eta (e.g. 0.1) and relatively low number of trees / iterations (e.g. 50) [the latter in order to allow a tuning process to finish in a reasonable amount of time and the former in order to allow learning to take place in a relatively small number of iterations Given eta and # of trees, tune the remaining important parameters (random search, hyperopt etc). Given these other parameters from above, explore eta and number of iteration (perhaps with various eta values and early stopping in a CV). Do you find the optimal parameters with high eta / low # trees still hold with low eta and high # of trees? Curious what others have found in regards to (this or other competitions) parameter tuning xgboost?",1,bronze,3,Wed Jan 06 2016 15:28:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18274,/competitions/prudential-life-insurance-assessment,None
/yetiman,A new tactic... solving the crime.,"The description of this competition states the following: Unwilling to cancel Christmas, Santa is determined to deliver toys to all the good girls and boys using his day-to-day, magic-less sleigh… Either the author's description of ""magic-less"" is not entirely accurate or something else is amiss. Assuming Santa only delivers gifts at night (and adding that constraint to my rudimentary solver) he'll need to sustain velocities higher than 1500 times the speed of sound (at STP) to get the job done in a 24 hour period. I will grant that Dasher and company, being both magical and well-practiced, can probably reach such velocities with ease - even dragging 1010 weight-units of sleigh+gifts. But how can the antique contraption they're pulling, in atmosphere, survive at those speeds? And what about the effects of acceleration! I've seen historical footage of highly aerodynamic aircraft breaking up while attempting to reach a paltry(!) mach 1, and the speeds we're talking about are far beyond that. Even the X-15, current world record holder for fastest manned aircraft, only reached mach 6.7. So I'm forced to conclude that either the sleigh itself is magical (not to mention Santa himself!), or that the reindeer are getting some sort of sadistic pleasure at seeing Santa in a tizzy. My reasoning for the second (and more compelling) option goes like this: Let's say the sleigh isn't magical at all. This means the reindeer must be able to surround it, and themselves, with an inertia-less bubble of space-time. How else could they near-instantaneously accelerate to those speeds without turning the sleigh into kindling and Santa to strawberry jam? But having the ability to create such a bubble also implies that acceleration, even to much greater speeds than those required, should be possible with almost no expenditure of energy beyond that required to create the bubble in the first place. And we know from prior years that package delivery either does not require popping the bubble, or that creating/destroying such bubbles is trivial. In other words, the reindeer must have convinced Santa that the exertions required for 1500-ish trips would be extremely ""tiring"", while in fact the entire exercise is trivial for them. As further evidence I offer a reminder of what these same reindeer were able to accomplish last year, and the year before. Plus the fact that last year they insisted on that whole dual-path thing; a clear sign of their mercurial nature. My new hypothesis: The reindeer, tricksters at heart, hid Santa's modern sleigh to provide themselves some entertainment. And my solution to this year's holiday challenge: Get the reindeer to admit that the ""theft"" was a practical joke, acquire the modern sleigh from wherever they hid it, and submit the winning solution from the ""Packing Santa's Sleigh"" challenge.",7,silver,1,Wed Jan 06 2016 18:00:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18275,/competitions/santas-stolen-sleigh,218th
/taffeylewis,Holiday comp second act,"Throwing this out for the Kaggle taskmasters: Have you given any thought to hosting more of these straight-up optimization challenges, in the playground, research, or getting started categories? I currently suck at optimization (don't have that CS background), but am still finding it a great learning opportunity, and there seems to be a whole host of opportunities to play in this area. Perhaps you could just host publicly available optimization data sets and just see what happens, with Swag prizes, although I enjoy the datasets that you create for the holiday challenges. Or perhaps you can re-host previous challenges with modified datasets and see what new improvements have been made? (and speaking of swag, when can I buy that coffee mug???)",2,bronze,2,Wed Jan 06 2016 20:08:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18276,None,None
/wouterd1,AWS - AMI vs. EBS,"Noob question - but trying to find my way around Amazon AWS EC2. In order to store the dataset- is it better / cheaper to attach an EBS volume (Gp2 volume) to your running instance that is sufficiently large, or should / could one launch an Private AMI image? (which seems to be S3)? I am getting bit lost in the AWS terminology - and would love some tips - also to avoid a massive bill…. Many thanks -WD",0,None,3,Wed Jan 06 2016 20:08:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18277,/competitions/second-annual-data-science-bowl,64th
/abhishek,whos from Germany on this?,it seems everyone is asking these kinda questions… and i wanted to be first from Germany :D :P So who is? ;),0,None,9,Wed Jan 06 2016 20:47:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18278,None,None
/benhamner,Which College is Best for You?_,"Nicely done! One cool extension would be to create a new script where you set the profile as a bunch of R variables at the top of the script & then have the code to compute & plot the best colleges for that profile below, so other users could fork it and try out different profiles.",0,None,8,Thu Jan 07 2016 02:44:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18282,None,None
/benhamner,Airline Twitter Sentiment Dataset,"This dataset resonated with me after some recent pain traveling over the holidays, and I thought it would resonate with many of you as well! It looks like it was probably collected at the beginning of February 2015 (Crowdflower published it February 12th last year). Some exploratory ideas on this include when tweets are negative, what topics do travelers tend to discuss? when tweets are positive, what are travelers happy with? outside of sentiment, what other systematic variation exists in the tweets about different airlines? what types of tweets on airlines tend to be retweeted? I'm curious to see what you discover!",5,None,11,Thu Jan 07 2016 02:51:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18283,None,None
/masterliu,program runs slow?,"I'm using sklearn and Mac book with 8G memory and 2 core CPU, when i tried to run with randomForestClassifier, it doesn't give me results after running 1 hour. It seems too slow, which tools do you use, guys?",0,None,3,Thu Jan 07 2016 10:44:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18286,/competitions/the-winton-stock-market-challenge,763rd
/gertjac,cv vs lb,"My 2 best submissions have a cv/lb discrepancy that is larger than I expected. Using 3-fold (randomly shuffled) cross validation, I get: model 1 CV 0.96755 LB 0.96891 model 2 CV 0.96774 LB 0.96661 I wonder whether there is a mistake in my second model. Who is willing to share cv/lb figures, it will help us all to decide what discrepancy to expect without errors ;)",2,bronze,12,Thu Jan 07 2016 16:09:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18287,/competitions/homesite-quote-conversion,5th
/vbansal,Confusion Matrix,"Hi, The test.csv available here doesn't have the 'Survived' values.How am i supposed to build the confusion matrix without the true values?",0,None,5,Thu Jan 07 2016 16:41:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18288,/competitions/titanic,None
/kabelan,first attempt - all survived in the test data !??,"Hi, This is my first attempt in kaggles titanic. I did follow the tutorial as it is, i did not get any errors. when i used the test data for prediction i'm getting survived = 1 for all the passengers. It seems not correct for me !! Did anyone come across this answer. Thanks K",0,None,1,Thu Jan 07 2016 17:47:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18289,/competitions/titanic,None
/bernarr,Data analysis exam for politics job,"Hello, I'm new here! Hopefully this is right board to be posting in for this kind of question -- if not, let me know and I'll be happy to delete it! I've been in a interview process for a national-level reelection campaign for a U.S. Senator. I had my preliminary screening, where an HR person asked me a few different questions about statistical packages/SQL (e.g., ""what is a coefficient of determination? what is a right join in SQL?""). Now they have asked me to complete a three to four hour exam in the next two week. While I'm familiar with statistical packages and rudimentary data analysis, this is my first ever data analyst position. What would you anticipate them asking me to do on the exam? How would you suggest that I best prepare? All they have said is that I need something to read CSVs, and a statistical package of a kind. I just don't want to be blindsided, so any help would be welcome! I'm so glad to have found this community, and I look forward to participation. And please forgive my English it's not my first language =)",2,None,1,Thu Jan 07 2016 21:45:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18290,None,None
/wendykan,Announcement: External data (including pre-trained models) allowed,"Hand labeling images is strictly forbidden. Accessing Yelp's metadata via scraping or API is strictly forbidden. External data (including pre-trained model) that is publicly available and free to use, is allowed, but must be posted in the forums for all to see and use.",3,bronze,1,Thu Jan 07 2016 22:25:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18291,/competitions/yelp-restaurant-photo-classification,None
/skylibrary,Finally someone get <1 logloss,"Hope they are not overfitting, so the host can use their results to do some whale recognition.",5,silver,11,Thu Jan 07 2016 22:25:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18292,/competitions/noaa-right-whale-recognition,11th
/benhamner,"Exploring ""-en"" names","Nice work Jeff! One thing I like to do with ggplot is changing the default theme. Two I'm a fan of are theme_light and [Link]:http://www.inside-r.org/packages/cran/xkcd/docs/theme_xkcd. I also increase the default font size to make the axes and title more legible, e.g. `theme_light(base_size=16).",0,None,3,Thu Jan 07 2016 23:55:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18293,None,None
/interesting,congratulations to the winners !!!,"congratulations to the winners !!! It has been a great competition, a great challenge and even greater opportunity (at least for me) to learn: 1) image processing and preparation 2) deep learning using theano & lasagne (could not get neon code to work…) 3) truly cant wait to read both methodology of the winners and perhaps take a pick at some code… please share your solutions thanks a lot for competition admins & everyone else who shared !",1,bronze,1,Fri Jan 08 2016 00:55:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18294,/competitions/noaa-right-whale-recognition,174th
/iamacheater,Cheating Script,"import json j1 = json.load(open('mscoco_train2014_annotations.json')) j2 = json.load(open('mscoco_val2014_annotations.json')) def make_dict(d,j): for x in j['annotations']: d[int(x['image_id']),int(x['question_id'])] = x['multiple_choice_answer'] d = {} make_dict(d,j1) make_dict(d,j2) print 'q_id,ans' with open('choices.test') as f: f.readline() for line in f: linesp = line.split() i_id,q_id = [int(x) for x in linesp[:2]] choices = ' '.join(linesp[2:]) ans = d[i_id,q_id] pos = choices.find(ans) cc=choices[max(0,pos-3):pos] for c in 'ABCDE': if c in cc: ans_c = c print '{},{}'.format(q_id,ans_c) Don't try this or you'll get 0 score",0,None,1,Fri Jan 08 2016 04:34:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18297,/competitions/104-1-mlds-final-project,2nd
/sudalairajkumar,xgb_offset0501,Thanks a lot [Link]:https://www.kaggle.com/Alexander Larko ! This one is awesome !! Learnt new things today from your code :),1,bronze,7,Fri Jan 08 2016 04:35:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18298,None,None
/niranjanmudhiraj,Code Sharing,"Hi All, please share your code. we can learn new approaches from other teams.thank you.",2,bronze,9,Fri Jan 08 2016 07:09:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18299,/competitions/noaa-right-whale-recognition,160th
/hegedusi,Evaluation metric,"I understand that the correction on the probabilities is necessary, but if I predict e.g. (1,0,0) for an instance (that sums up to 1) after the correction the probabilities are (1-eps,eps,eps) that sums up to 1+eps instead of 1 (here eps=1E-15).",0,None,6,Fri Jan 08 2016 08:50:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18300,/competitions/telstra-recruiting-network,None
/abhishek,no * for 4th place?,"Are they not ""in the money""? :(",1,bronze,1,Fri Jan 08 2016 09:57:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18301,/competitions/cervical-cancer-screening,4th
/lamdang,Please read this,"Dear all, I am sharing this message to share my personnal experience and make a personnal request to admins team. You may have seen our team Whale-E (funny name isn't it?) at 4th position (LB 1.42)disappeared. For those who wander why, it is because of my fault. I created another account named kamekaggle while being in the team to test on the LB some of my personnal results. I have no idea that was forbidden. I was not trying to fraud or anything. I just want to see some of my advancements on the LB without wasting my team submissions. This is a silly mistake. So for all less experienced Kagglers like me, either you are s ,here is my sharing: **** PLEASE READ THE RULES **** **** MULTI ACCOUNTS WILL MAKE YOUR RESULTS DELETED **** This is a sad story really. Admins of this competition, please hear my request. I know this is not an usual one but please make it right for my teamates. They worked very hard, and they deserve better than being deleted from the LB. Paul have done an excellent job in detecting the whales heads positions, combining Viola Jones detection and Anil Thomas' work on key points detection. In the end, his work give 99% of the time the crop right on the whale head. Vinh did an outstanding job building a big ensemble on a large variety of conv net structures, switching with agility from neon to lasagne back and forth. In the end, his ensemble alone get 1.64 on the LB and should have a top 10 place. My teamates deserve much better than being deleted because of my silly mistake. Please make it right for them. What is worst than having all the submissions removed? Most of us Kagglers don't do competitions for prize. We mostly do it for knownledge, for the joy of working on new, challenging projects, for the joy of sharing knownledge. Having the submissions do not only matter because of the ranking but also it remind us how we progressed through the competition, how we learned, how we lived it. I know this may be a silly request, but please remove me from my team, remove my submissions but keep the solutions from my teamates and give them a place they deserved, as if I never joined the team To my team, I am deeply sorry that this silly mistake of mine impact your results. Thank you for this run together, I learned a lot. It has been a pleasure working with you. Thanks admins for this competition that was very challenging but also very nice. The best thing is that when it is late hour and you are working on your desk on your neural nets, you open the original images to check some thing and suddenly you feel being out there at the ocean. That has no price.",4,bronze,2,Fri Jan 08 2016 10:39:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18302,/competitions/noaa-right-whale-recognition,None
/thakurrajanand,Public Info to get rank 59,I found following repository on github and I have used it to get my current score [Link]:https://github.com/ge0ffrey/santas-stolen-sleigh/tree/bb1875434cce1d7788c5d6d8e064e2fe9a1b9b8e/data/sss/import/whole NOTE : This might be late but I found it today only.,1,bronze,67,Fri Jan 08 2016 12:24:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18303,/competitions/santas-stolen-sleigh,65th
/romains,xgboost change parameter while training,"Hello, When using Gradient Boosting Machines with trees there is always the same issue: we want eta (learning_rate) large to reach a good solution quickly but in the same time we want eta small to have an excellent solution which lead to larger running time. I am using xgboost and I would like to know if there is a way to change the parameter while training ? The idea is to start with large value and as the training go we decrease it. Or maybe I can train a first model and then train a second one that start where the first one stopped ? Thanks for your help !",0,None,5,Fri Jan 08 2016 14:41:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18305,/competitions/prudential-life-insurance-assessment,676th
/larry77,Regression or Classification?,"Dear All, I may be mistaken, but from looking at various scripts that have been posted, it seems like you can get fairly good results completely neglecting that this is a multiclassification challenge (and trying to predict the classes as if they were numbers). Something similar I believe applies to many factor variables that are treated like numbers. Does anybody know why this happens? My theory is that some variables may be age range,, income range etc…so it makes sense to consider them as ""numbers"". Any clarification is appreciated.",0,None,2,Fri Jan 08 2016 15:47:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18306,/competitions/prudential-life-insurance-assessment,1568th
/wendykan,Results are final,"Kaggle would like to thank everyone for the hard work! We understand this is a very difficult competition and we are very impressed with the results that the community achieved. Congrats! Please give a big thank you to Christin from NOAA. Without her and her team's labor intensive labeling work, this competition would not have been possible. We have removed some cheaters, and the leaderboard results are now final.",7,silver,1,Fri Jan 08 2016 18:14:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18307,/competitions/noaa-right-whale-recognition,None
/deepthinker,"Some new ideas,  maybe brilliant ideas",i think the best method is to look at the line of price and do image processing to extract return from the line of price. it will be easy to do this if the picture is black and white. Whats happening with the oil prices? maybe oil crash has some clue for calculating return. I took a picture of oil price graph from news channel today and will do image processing to extract this. Not sure these ideas will work but worth a try. Please do not make fun of me as I am new to machine learning. Any advice on my ideas will be highly appreciated.,-11,None,5,Fri Jan 08 2016 20:51:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18308,/competitions/the-winton-stock-market-challenge,None
/godaibo,Recover terminated aws spot instance,Does anyone know if it is possible to recover an aws spot instance image that was terminated because of bid price? I have been training for a while and all that might be lost.,0,None,3,Fri Jan 08 2016 21:36:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18309,/competitions/second-annual-data-science-bowl,110th
/zachmayer,Congrats to the winners!,This was a really fun competition!,10,silver,9,Sat Jan 09 2016 01:05:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18311,/competitions/santas-stolen-sleigh,65th
/ainu77,Winning entry,"Hi! I share some of materials we used in the contest. In the first phase, we used SA, using 20 threads in 24-core machine, running ~5 days. Ran in 3 machines and best score was 12384669985. After that, BS combined with SA, is used, again in 3 machines, this time running 21 hours. Best output was 12384529598. Some complicated merging of these output was our winning entry, 12384507107. Below is a tracking sp of our progression, after we made a team. [Link]:https://docs.google.com/spreadsheets/d/1bO6zLWm3JMOa8rvBhxpV688bUndeJUo595Uynv1RQY8/edit?usp=sharing Code for the first phase is attached. Download them in a same directory. sort_by_dist is just a list of nearest presents, encoded in a text. prv.csv can be any output file, possibly your submission. g++ santa_mul.cc -o santa_mul -pthread --std=c++11 -Ofast -march=native (./santa_mul output_file output_file_with_more_information progression_output_file number_of_iterations starting_temperature number_of_threads) time ./santa_mul o3.out d3.out p3.out 500000000000 0.33 20 [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104087/3531/santa_mul.cc [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104087/3532/prv.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104087/3533/sort_by_dist [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104087/3537/final.csv",27,gold,14,Sat Jan 09 2016 01:42:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18312,/competitions/santas-stolen-sleigh,1st
/weeezy,Rudolph prize entry,"Our algorithm description (team ""woshialex & weezy"") is enclosed. Indeed, it's a ""classic"" Simulated Annealing algorithm. Source code can be found at [Link]:https://github.com/woshialex/SantaStolenSleigh [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104099/3536/WW_writeup.pdf",21,gold,6,Sat Jan 09 2016 02:34:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18313,/competitions/santas-stolen-sleigh,2nd
/wendykan,"Results are now final, and call for Xpress Prize","First, I'd like to thank each and every one of you for your participation. It's been a great competition. I know some of you asked for the story behind the creation of the competition, we will share this with you soon. The results on the leaderboard are final. The leaderboard prize goes to Potassium cyanide. The Rudolph prize goes to woshialex & weezy, with a total of 18.69 days as the top of the leaderboard (second place is 16.46 days). If you think you qualify for the Xpress Prize, we want to hear from you! Please send an email to [Link]:mailto:competitions.admin@kaggle.com with your solution and your final ranking on the leaderboard, and FICO will evaluate your solution. Please do so before next Wednesday, 1/13.",3,bronze,1,Sat Jan 09 2016 03:10:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18314,/competitions/santas-stolen-sleigh,None
/ashishlakhani,how to interpret data in age_gender_bkts,for e.g 20-24 US male 11601 2015 does above line mean populatation of males in age of 20-24 in US is 11601000 ?,0,None,8,Sat Jan 09 2016 06:11:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18315,/competitions/airbnb-recruiting-new-user-bookings,279th
/diofant,Improvements to the winning entry?,"Do we keep track of improvements to the winning entry? Permuting some quadrupels of gifts in final.csv reduces the twrw from 12,384,507,107.54550 to 12,384,506,451.605218. Letting my optimiser run for some time will probably yield some more (tiny) improvements.",1,bronze,11,Sat Jan 09 2016 09:12:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18316,/competitions/santas-stolen-sleigh,33rd
/sonnylaskar,Best Solution in R,This has been a very interesting competition. I used R entirely for this project and could make upto 12.49 It would be very helpful if someone who managed to get close <12.4 with an R code to share their concept and code so that we could learn from each other. Thank you everyone,2,bronze,5,Sat Jan 09 2016 10:17:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18318,/competitions/santas-stolen-sleigh,285th
/dyakonov,Ветка для сдающих экзамен АМА в январе 2015,"Здесь к пересдаче (дата уточняется, скорее всего, 8 февраля 2016 года) необходимо Выложить отчёт Выложить код (генерация окончательного и промежуточных решений) Чтобы задание было засчитано необходимо, чтобы: Был преодолён 2й (по лучшести) бенчмарк на скрытом контроле (обратите внимание, что текущий лидерборд считается по 10% выборки) Были реализованы все основные типы алгоритмов, которые упоминались на лекции, если подобная задача разбиралась (в данном случае - это так) Была описана и аргументирована схема локального контроля, приведены (в виде таблиц и графиков) результаты этого контроля для разных моделей/при разных значениях параметров К оформлению отчёта предъявляются требования стандартные [Link]:http://www.machinelearning.ru/wiki/index.php?title=%D0%9D%D0%B0%D0%BF%D0%B8%D1%81%D0%B0%D0%BD%D0%B8%D0%B5_%D0%BE%D1%82%D1%87%D1%91%D1%82%D0%BE%D0%B2_%D0%B8_%D1%81%D1%82%D0%B0%D1%82%D0%B5%D0%B9_%28%D1%80%D0%B5%D0%BA%D0%BE%D0%BC%D0%B5%D0%BD%D0%B4%D0%B0%D1%86%D0%B8%D0%B8%29. Формат: *.pdf. Как и раньше, нарушение дедлайна считается невыполнением задания.",0,None,3,Sat Jan 09 2016 11:19:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18320,/competitions/msusums,None
/codebender,"7 teams with the score 12,432,816,196.18370",Did 6 teams copy OptaPlanner Delirium's solution?,0,None,2,Sat Jan 09 2016 20:01:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18323,/competitions/santas-stolen-sleigh,89th
/saj1919,Single layer NN with Keras ,"I am trying to mimic what this script has done but with keras instead of nolearn - [Link]:https://www.kaggle.com/darraghdog/homesite-quote-conversion/homesite-with-lasagne/notebook But I am getting ~0.5 auc scores. Just trying to understand whats wrong here. Not worried abt LB … trying to learn. I have used similar kind of code in other competitions but never got such bad results. Will try nolearn tomorrow but need to figure out the reason. Note : Using keras with tensorflow (bcz theano was giving weird error !!). Also I have tried using different optimizers and 2 layes of network. All of them giving ~0.5 auc !!! ### train and y are numpy array ### with same train and y I get ~0.96 auc for rf and xgboost split = 200000 epochs = 10 val_auc = np.zeros(epochs) nb_classes = len(np.unique(y)) dims = len(train[1]) logger(""\n==> NB_CLASSES : %s, DIMS : %s <==\n"" % (nb_classes, dims)) model = Sequential() model.add(Dense(128, input_shape=(dims,))) model.add(PReLU()) model.add(BatchNormalization()) model.add(Dropout(0.5)) model.add(Dense(nb_classes)) model.add(Activation('softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam') for i in range(epochs): model.fit(train[:split], y[:split], nb_epoch=1) pred = model.predict_proba(train[split:])[:,1] val_auc[i] = roc_auc_score(y[split:],pred) logger(""AUC SCORE : ""+str(val_auc[i])) copy",0,None,5,Sat Jan 09 2016 20:26:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18324,/competitions/homesite-quote-conversion,688th
/felixlaumon,2nd Place Solution Report,"Hi everyone, Here's my blog post describing my approach: [Link]:http://felixlaumon.github.io/2015/01/08/kaggle-right-whale.html Source code can be found at [Link]:https://github.com/felixlaumon/kaggle-right-whale Felix",32,gold,4,Sat Jan 09 2016 22:19:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18325,/competitions/noaa-right-whale-recognition,2nd
/mrkapp,Location meaning?,"A bit of a basic question here (just started with this comp): How can the 'location' feature be interpreted? Is there some kind of ordering to it, e.g. location 500 and location 505 being closer together than locations 700 and 1100?",0,None,11,Sun Jan 10 2016 00:25:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18326,/competitions/telstra-recruiting-network,None
/bigdub,Trial1.01,"Hi, This is my first time posting my data analysis on website, and I am quite new to the data analytical field. I hope that you can point out the parts where either you dislike or you think I need to improve. Your comments will be appreciated. Thanks in advance. BigDub",3,bronze,1,Sun Jan 10 2016 00:55:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18327,None,None
/ntahmase,Is the usage of deep learning mandatory?,I would like to know if a method which is based on signal processing and not deep learning is acceptable. Best,1,None,1,Sun Jan 10 2016 04:43:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18329,/competitions/second-annual-data-science-bowl,None
/bookreader,ILL defined problem,"This might be an ill defined problem. At least in terms of machine learning. There is absolutely no generalization! CV does not have any effect. Looks like the training and testing set comes from two different planet! The description says that ""Each row in the dataset is an arbitrary stock"". There are total of 40,000 stocks in the training set and 120,000 stocks in the testing set. The total number of companies in NYSE and NAZDAQ combine is about 6000. Therefore the stocks are fictitious and possibly created by hand with random generators…",1,bronze,4,Sun Jan 10 2016 05:08:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18330,/competitions/the-winton-stock-market-challenge,369th
/del=baec042bc066df48,How to do blending ,I am just wondering if anyone can give a hint on how to do blending in this competition. I tried several ways of combining the models such as linear combinations of predictions from different methods but they all give worse results.,0,None,6,Sun Jan 10 2016 06:30:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18331,/competitions/prudential-life-insurance-assessment,80th
/snowycards,"This was a fun competition, when will we see something similar?",This competition felt a little different than other kaggle competitions. It wasn't data classification but instead tackled a form of the VRP. When will we see something similar to this?,2,bronze,2,Sun Jan 10 2016 08:49:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18332,/competitions/santas-stolen-sleigh,881st
/kwiicsyy,San Francisco Crime Classification,"Hi! I have tried this script on my laptop(4GB memory), but got ""MemoryError"" when trying clf.fit(). Could anyone tell me how to solve this? Thank you!",1,bronze,4,Sun Jan 10 2016 13:50:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18333,None,None
/onodera,Other Solutions,"I would like to know other solutions you guys tried. The solutions I tried is below. 1. Put and swap Select 2 gifts that does not belong to same trip. If the score decrease by putting or swapping the gifts, execute it. copy 2. Sort gifts within trip by 5! Select 5 gifts from head of trip. Try to sort all patterns(5!). And slide to next('1 2 3 4 5'→'2 3 4 5 6'). copy 3. Put and swap 2 This algorithm is multiple version of 1st algorithm. copy 4. Swap gifts by 6! Select 6 gifts that does not belong to same trip. Try to swap all patterns(6!). copy I used only Greedy algorithms, and won 39th(12425651858.70720).",2,bronze,7,Sun Jan 10 2016 13:56:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18334,/competitions/santas-stolen-sleigh,39th
/usixuz,business ids in test,I am wondering whether the true business ids just renamed compared to those business ids in the training set or the test set have different types of business ids from training set. Thanks,0,None,2,Sun Jan 10 2016 14:15:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18335,/competitions/yelp-restaurant-photo-classification,72nd
/slobo777,Ninth place solution (12404781212),"My main optimisation routine was based around a relatively simple algorithm. The core components were: A routine that would place a single gift into the lowest cost position in a group of trips (including if desired an empty trip). A distance metric between gifts that was a weighted mix of haversine distance, closest distance to the same longitude, and distance between longitudes at the equator. A closest_n_trips function that would find a select group of trips in a solution based on the above distance metric (a trip is considered closer if any of its contained gifts is closer to the starting gift). A sampling function that would randomly select gifts in one or more trips and remove them to an ""unassigned gifts"" pool. The initial solver was just a random search: For each gift in turn (from a shuffled list): Find the closest 25 trips (including trip that chosen gift was from). Distance metric weights were 0.025 haversine, 0.85 closest same longitude point, 0.15 equator-equivalent same longitude point. Repeat 500 times for those trips and their contents: Randomly sample from 1 to 3 gifts from each trip Shuffle the array of sampled gifts Re-insert each gift in order, in the optimal position considering the whole group of trips (plus an initially empty trip) Keep the new arrangement if the score is better, otherwise discard. Once every 100 starting gifts: Check all trips in the solution, and split apart into two trips (at a single breakpoint), if that would reduce the overall cost. This seemed to help by preventing trips greedily growing into inefficient combinations. Running this routine from a starting point of one trip per gift (scoring 29,121,011,015) got a result of 12,422,511,600 in about 4 hours (single thread, and measured on laptop - 2.9 GHz Intel Core i7 - no big compute stack for me!) I got to this solution by manually tuning the parameters such as distance weightings, number of trips to consider, sample size etc. Further improvements were more complex, and progressed more slowly: I was aware that the local random searches were likely to miss some important combinations and potentially useful changes. So I constructed a few different searches: A cross-splice search that checked whether two trips could exchange start and end sections to reduce score. I would of liked to generalise this to more splice points, but it was too time consuming to add more degrees of freedom in the search. A ""heavy trip breaker"" which would take a chosen gift (selected by weight times how much extra ""non-necessary"" distance led up to it) and construct a new greedy trip from it - stealing gifts from other trips. This was re-optimised using the random search and re-apply algorithm described above; if the ending score reduced across all the selected trips, then the result was kept. Although in practice this only ever found 3 or 4 new trips, I had noticed that the impact of creating those new trips could be very high. A gift search that would take each gift in turn and place it most optimally across the whole solution. A trip destroyer which would remove a trip and try to place all its contents optimally over the rest of the solution. This was kept only if it improved the overall score. A simulated annealing variant of the initial greedy search, typically working on 35 trips with the same distance metric - I would run 1 million iterations starting from a temperature of 5000 down to 50. Then repeat whole process for another sub-group of 35 trips. Each group of trips would take around 30 minutes to complete. Of the above, all were useful and contributed to the end score. But by far the most useful in terms of score reduction was the simulated annealing. I suspect it would not have done so well without the wider searches done by the greedy searches though. Getting the score from 12.422 billion down to 12.412 billion was relatively quick, probably under 2 days' effort. Beyond that point, progress seemed to halve - or worse - each day. I doubt my current code could ever get below 12.404 billion. Lessons for next time: What I think I should of done next was look into some different moves for continued simulated annealing - either within the local trips, or looking at the whole solution. I think the initial success of the random search and problems with my first attempts at simulated annealing both contributed to me losing time looking at other less productive things first.",22,gold,1,Sun Jan 10 2016 19:56:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18336,/competitions/santas-stolen-sleigh,9th
/,,,1,bronze,4,Sun Jan 10 2016 20:23:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18337,None,None
/del=02057c828c096518,Lung References in NIPS 2015 Papers,"one of the 'Lung' references: Emil Artin. Uber die zerlegung definiter funktionen in quadrate. In ¨ Abhandlungen aus dem mathematischen Seminar der Universitat Hamburg ¨ , volume 5, pages 100–115. Springer, 1927.",0,None,1,Sun Jan 10 2016 21:42:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18338,None,None
/sakvaua,Keras around 0.9633*,"Thanks for sharing. I generated a dozen or so diversified models (1-5 hidden layers, input/hidden layer dropouts, number of units, etc.) and was able to get 0.964 though every single model was not as good as yours. I wonder how did you come up with your ""golden features""? How do you decide that subtracting ""PropertyField21B"" from ""CoverageField1B"" could improve score? With 300 anonymized features I find it hard to make any assumptions on what could work.",6,bronze,15,Sun Jan 10 2016 23:17:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18339,None,None
/mah38900,Unable to download data,"When I try to download the files, I get a timeout/connection failure. This happens even with the 1.12 MB photo-to-ID file. Has anyone else had this difficulty? Is there a simple resolution?",0,None,2,Sun Jan 10 2016 23:57:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18340,/competitions/yelp-restaurant-photo-classification,None
/florensdewit,Human help in algorithm,"Reading up on some methods for calculating the volumes that I'd like to try (or consider to at least), I found one that requires human input in the form of contours drawn on one image per case by a human observer. Would input like this be allowed for this competition? My guess is that it would not be allowed, though I would like to check what others think.",0,None,2,Mon Jan 11 2016 00:52:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18341,/competitions/second-annual-data-science-bowl,None
/mjstoik,xgb_offset0501,Could someone explain what does this function 'apply_offset' do and how is it used here?,0,None,1,Mon Jan 11 2016 15:33:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18344,None,None
/zachmayer,2 optimizers are better than 1,"A friend of mine had a pretty decent optimizer, which I think had him in the top 100 on his own, before the final leaderboard shakeup. Right after DataGeek posted the ""public info on how to get rank 59 thread,"" he downloaded that solution and started running his own optimizer on it: [Link]:https://github.com/ge0ffrey/santas-stolen-sleigh/blob/master/data/sss/import/whole/gifts.score-1243658500023402957.csv About 24 hours later, ge0ffrey posted his final solution to the github repo, which was presumably the result of his optimizer running for 24 more hours: [Link]:https://github.com/ge0ffrey/santas-stolen-sleigh/blob/master/data/sss/import/whole/gifts.score-1243281619618372858.csv What's really interesting to me was that my friend's solution was a fair bit better than ge0ffrey's new solution, even though it was a worse optimizer running for 12 hours, rather than ge0ffrey's optimizer running for 24 hours. After the competition, we were discussing this result, and our working hypothesis is that different optimizers focus on different possible improvements, so running 2 optimizers, one after the other can help bump them each away from the local minimum they're converging towards. You can see ge0ffrey's whole solution history here. You can see the solution scores, as well as the runtime between them, which might be very interesting for benchmarking different optimizers at different points in the solution history: [Link]:https://github.com/ge0ffrey/santas-stolen-sleigh/tree/master/data/sss/import/whole I'd be very curious to hear if anyone else observed a similar phenomena.",2,bronze,1,Mon Jan 11 2016 17:04:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18345,/competitions/santas-stolen-sleigh,65th
/shannonlantzy,"[Answers] Q&A with Principle Investigators Michael Hansen, Ph.D., and Dr. Andrew Arai of NIH/NHLBI","[Link]:https://youtu.be/wXUt_vjrF0c Good Monday morning kagglers! [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18198/q-a-with-principle-investigators-michael-hansen-ph-d-and-dr-andrew-arai, here's a video capture of my offline Q&A with Principle Investigators Michael Hansen, Ph.D., and Dr. Andrew Arai. Thanks again for their time. Here's a rough sketch of timestamps for the questions and answers: 0:00 - Intros 1:15 - Question 1 -What was the motivation for choosing to evaluate the models based on predictions of systolic and diastolic volumes rather than on ejection fraction (EF)? 3:43 - Question 2 -What scores would correspond to a model that would be useful in a clinical setting? 11:13 - Question 3 - For each case how many experts segmentation did you use to compute the ground truth volume? 15:12 - Question 4 - How many different experts contributed to the challenge? Are the validation and test sets created by the same experts? 15:24 - Question 5 - How were the minimum and maximum volumes chosen? [I think he means how did you choose systole and diastole] Is it the min/max of the volume along the whole sequence or do you restrict the frame used? Let me know whether you find this helpful and I should plan on another one, subject to the PIs' availability.",6,silver,1,Mon Jan 11 2016 17:14:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18346,/competitions/second-annual-data-science-bowl,None
/joetheshow,Airbnb Visualizations,"Next step, breakdown NDF vs US alone",0,None,5,Mon Jan 11 2016 17:16:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18347,None,None
/nimashahbazi,Local vs Public!,"I have a local test error around 1540, and public error around 1930! and I am pretty sure I am not overfitting! anyone else with the same issue?",0,None,10,Mon Jan 11 2016 21:14:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18350,/competitions/the-winton-stock-market-challenge,274th
/alsimak,the power of the zero benchmark,"as i pick up the pieces of my old model to try and fit the new data , some philosophical reflections about the zero benchmarck arrise . Those not familiarized with price time series may ask themseives how powerfull the zero benchmarck is . Lets take a look . Finantial analysts can be divided in two groups . Technical , and fundamental . Technical analysts study directly the price movement using charts . Fundamental analysts study the economic factors that move the prices . None of the technics used by the two groups are of mathematical nature . 90% of all technical analysts will tell you that , in the long run , the zero benchmark will beat a fundamental analyst . 90% of fundamental analysts will tell you that in the long run the zero benchmarck will beat a technical analyst . Among mathematicians , the most extended opinion about the future value of a price is that the best estimate for that is the last recorded price , that is to say , the zero benchmarck . To predict share prices is much more an art that a science . My own experience , after decades of investigation in finantial time series , is that the benchmarck zero will beat , in the long run , 95% of the people who call themselves analysts . To beat the zero benchmark in the long run using science instead of art and intuition or insider information and market rigging is a privilege reserved only for those who dedicate their lives to it (which,by the way, is a silly thing to do :). So beware the zero benchmarck , its power is really owfull .",13,gold,14,Mon Jan 11 2016 22:38:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18351,/competitions/the-winton-stock-market-challenge,624th
/bitsofbits,Clinical Significance,"Based on the recent [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18346/answers-q-a-with-principle-investigators-michael-hansen-ph-d-and-dr-andrew with Dr Hansen and Dr Arai, it appears that in order to be clinically useful a model should be accurate to within 20 ml and preferably within 10 ml. The question is then: how does this relate to the CRPS scores used to score this contest? If one takes a naive approach and models these predictions as a step function, then a prediction that was off by 10 ml would have a CRPS of 0.0167. However, one can do considerably better than just predicting step functions as has been discussed in this [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/17966/optimal-submission-for-continuous-ranked-probability-score-crps. Based on some slightly dubious back of the envelope calculations, I'm estimating that the error for the optimal distribution is in the vicinity of 0.5σ/600 where σ is the RMS error of the prediction. This estimate is dodgy and I encourage anyone to improve it; either through math or simulation. Note also that the relationship between the RMS error and CRPS of the optimal distribution is probably dependent on the error distribution of the prediction. Based on the above estimate we get a CRPS score of 0.008 for an RMS error of 10 ml and 0.016 for an RMS error of 20 ml. The latter definitely seems achievable, but the former is going to be a challenge. That gives us a goal to shoot for however: 0.008 or bust!",4,bronze,10,Mon Jan 11 2016 22:40:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18352,/competitions/second-annual-data-science-bowl,11th
/davidgasquez,ncdg customized eval_metric xgboost,"Did you get XGBoost running with the custom eval_metric? If so, did you found this approach useful? As far as I've tested, the most reliable evaluation metric for me it is being the logarithmic loss.",1,bronze,2,Mon Jan 11 2016 23:21:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18353,None,None
/deanmckee,Mad multi-accounting/leaderboard probing going on,Eventually someone's got to try to ruin a good thing for everyone else. Hope Kaggle continues to work on their cheat detection.,0,None,26,Tue Jan 12 2016 04:35:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18356,/competitions/prudential-life-insurance-assessment,53rd
/erolbiberoglu,imputing with sklearn imputer,"I am trying to impute the missing values for the numeric values using sklearn imputer . Specifically, i am running the following code. In the end of the code, I have num_train_df_imputed which has 271 features, and I have ""cols_numeric"" which is a vector of 272 features. So it looks like, I am missing a feature while executing the following transform: num_train_df_imputed = imr.transform(num_train_df.values) Can anyone help? How to fix this? import pandas as pd from pandas import Series,DataFrame import numpy as np import matplotlib.pyplot as plt import seaborn as sns sns.set_style('whitegrid') %matplotlib inline train = pd.read_csv('data/train.csv') test = pd.read_csv('data/test.csv') y = train.QuoteConversion_Flag.values train = train.drop(['QuoteNumber', 'QuoteConversion_Flag'], axis=1) test = test.drop('QuoteNumber', axis=1) train['Date'] = pd.to_datetime(pd.Series(train['Original_Quote_Date'])) train = train.drop('Original_Quote_Date', axis=1) test['Date'] = pd.to_datetime(pd.Series(test['Original_Quote_Date'])) test = test.drop('Original_Quote_Date', axis=1) train['Year'] = train['Date'].apply(lambda x: int(str(x)[:4])) train['Month'] = train['Date'].apply(lambda x: int(str(x)[5:7])) train['weekday'] = train['Date'].dt.dayofweek test['Year'] = test['Date'].apply(lambda x: int(str(x)[:4])) test['Month'] = test['Date'].apply(lambda x: int(str(x)[5:7])) test['weekday'] = test['Date'].dt.dayofweek train = train.drop('Date', axis=1) test = test.drop('Date', axis=1) train = train.fillna(-1) test = test.fillna(-1) data=train preprocessing from sklearn.preprocessing import Imputer num_train_df = data.select_dtypes(include=['number'],exclude=['datetime64']) cols_numeric= num_train_df.columns imr = Imputer(missing_values= -1, strategy='mean', axis=0) imr = imr.fit(num_train_df) num_train_df_imputed = imr.transform(num_train_df.values)",1,bronze,1,Tue Jan 12 2016 05:35:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18357,/competitions/homesite-quote-conversion,710th
/lukemerrick,Newbie about to do something stupid: Considering F# over Python/R as a learning experience.,"Hey all, another newbie here hoping that a dose of wisdom from the elders might help me avoid making the data science learning process a living hell for myself. I finished [Link]:https://www.coursera.org/learn/machine-learning just a few days ago and couldn't be more excited to chart out my next steps toward becoming a Kaggle master (I say this only half-jokingly, because I really would like to get good at this stuff one day). I am pretty familiar with the general advice to jump into Python or R and take a crack at a competition or two here at Kaggle, but after a summer internship doing data wrangling in .NET, I somewhat fell in love with functional programming tools of LINQ and F#. On top of all that, my boss gave me this book called [Link]:http://www.apress.com/9781430267676 by Matthias Brandewinder that seeks to share some of fun of data science and machine learning with the poor C# developers who are looking for a fun change of pace after doing boilerplate software dev for so long. In sum, a summer in C# and a book on ML in F# have given this second-year undergraduate the dangerous idea that it might be a good learning experience to try and jump into this whole data science thing in F# instead of Python or R. I see several potentials pros/cons of this, and I would love to hear any thoughts, concerns, or suggestions you all might have! Also, Andrew Ng was a big proponent of using Matlab/Octave to teach/learn ML concepts, and I would love to know what you all think of that, too. Perceived Pros of Staring out in F#: Change to learn functional programming (personal interest) F# and Math.NET have pretty good performance / potential for optimization I perceive that implementing algos by hand is a good way to really learn the concepts, even if it's buggy or slow Implementing stuff by hand is good resume material Perceived Cons: Scarcity of literature/tutorials/mentorship available Learning curve might be so steep it crushes my motivation Doing too much by hand may actually just be a huge waste of time Lacking some of the easy vectorization/mathematical feel of Matlab, i.e. Matlab/Octave would offer a lot of above pros plus some So, yeah, sorry for such a long post, but please hit me up with any wisdom you feel like sharing!",3,None,6,Tue Jan 12 2016 06:03:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18358,None,None
/pentakill,Need More Training Data,"I know it's a lot to ask .. but since you publish more test data for a holiday gift , why don't you give us more training data. I think 20w training data could be enough if we couldn't get 40w …",0,None,2,Tue Jan 12 2016 09:38:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18359,/competitions/the-winton-stock-market-challenge,332nd
/aikinogard,What is NaN in action and action_type in sessions?,"Hello, Admin, I have a question on understanding action and action_type. There are 359 different values of action and 10 different values of action_type. In action, 0.7% is NaN, and I noticed that all of the missing action has action_type = message_post. In action_type, 10.6% is NaN. But it is strange that for example, user_id = 00023iyk9l has one action = show with action_type = view but the next one is action = show but action_type = NaN. Could you give us some explanation on NaN in the sessions? Is it the data missed in airbnb's collection or it is just removed artificially by the organizer for private security reason? Thanks, Li",0,None,8,Tue Jan 12 2016 10:31:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18360,/competitions/airbnb-recruiting-new-user-bookings,43rd
/mkrtich,are the public test datum the same for all submissions?,"I submit the same file twice and got the same result. Which can mean that the public test data is the same, but I did the following experiment: Let split test's real answers into 3 groups(the public part only, as private part does not have effect on WMAE) Ret_PlusOnes - let write them as x_i Ret_PlusTwos - y_i all others - z_i For the weights I will write just a 'w', but will not consider them equal. also I'm considering that the number of x_i and y_i are equal, in the public part of test data they can be different. for all 0 predictions we have (1) N * WMAE_1 = SUM(w * |x_i|) + SUM(w * |y_i|) + SUM(w * |z_i|) Let set all Ret_PlusOnes to some const number c and all other are predicted as 0. (2) N * WMAE_2 = SUM(w * |x_i - c|) + SUM(w * |y_i|) + SUM(w * |z_i|) Let set all Ret_PlusTwos to the same const number c and all other are predicted as 0. (3) N * WMAE_3 = SUM(w * |x_i|) + SUM(w * |y_i - c|) + SUM(w * |z_i|) Now let set all Ret_PlusOnes and all PlusTwos to the same const number c and other set to 0. (4) N * WMAE_4 = SUM(w * |x_i - c|) + SUM(w * |y_i - c|) + SUM(w * |z_i|) As we can see from above equations (1-4) (5) WMAE_1 + WMAE_4 should equal to WMAE_2 + WMAE_3 I choose some c and submitted each case's submission file, but the resulted WMAEs are not matching to (5) equation. Am I doing something wrong or the public test data is not the same on every submission?",-1,None,1,Tue Jan 12 2016 16:53:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18364,/competitions/the-winton-stock-market-challenge,716th
/benhamner,Iris Dataset,"The Iris dataset is a classic dataset for teaching introductory classification, machine learning, and data visualization. It is incredibly simple: 3 classes (different Iris species) with 50 samples each, and then four numeric properties about those classes: Sepal Length, Sepal Width, Petal Length, and Petal Width. One species, Iris Setosa, is ""linearly separable"" from the other two. This means that we can draw a line (or a hyperplane in higher-dimensional spaces) between Iris Setosa samples and samples corresponding to the other two species. We can see this in the graph below. [Link]:https://www.kaggle.com/benhamner/d/uciml/iris/sepal-width-vs-length [Link]:https://www.kaggle.io/svf/138327/e401fb2cc596451b1e4d025aaacda95f/sepalWidthvsLength.png However, Iris Versicolor and Iris Virginica are not linearly separable from each other: there is no line / hyperplane that we can draw to differentiate them on any subset of the features we have to work with.",4,bronze,3,Tue Jan 12 2016 18:55:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18365,None,None
/benhamner,Testing,"Not yet - you can hide it but not delete it (we want to work through all the edge cases on what happens when a user forked off your notebook, etc. first)",0,None,1,Tue Jan 12 2016 19:34:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18367,None,None
/simpleliquids,Automated Data Visualizations,[Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104442/3553/Airbnb - Explore.ipynb [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104442/3554/Munger.py,1,bronze,1,Tue Jan 12 2016 19:57:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18368,/competitions/airbnb-recruiting-new-user-bookings,229th
/simpleliquids,Automated Data Visualization,"How are you guys doing in this competition? From my testing random forest, logistic or boosted trees give fairly high results right away .86-.89. Has anyone done better than this, I'm finding it hard to be motivated to work on this problem much more.",0,None,2,Tue Jan 12 2016 20:39:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18369,None,None
/anonemaus,"first submission ever, and its not uploading",Its all good. Shame about the submission!,0,None,3,Tue Jan 12 2016 23:29:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18370,/competitions/the-winton-stock-market-challenge,5th
/jkmsmith33,Score of 0.0000???,"I submitted the attached file, and I received a score of 0.000. Anybody have a similar experience? Is there something wrong with my formatting? I am new to the world of data science so it could be something obvious that I am overlooking. Any/all help would be greatly appreciated. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104472/3555/myfirstforest.csv",1,bronze,4,Wed Jan 13 2016 02:17:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18371,/competitions/titanic,None
/woshialex,some cases are quite off from the true value?,"for example, case 429, the volume I got is almost as twice as large the truth value from train.csv.. it takes the largest volume at t~29 and smallest at t~12, I almost have hand labeled the boundaries and measured the volume and what I got is almost twice as large… there are some other similar cases too, any one has an idea why it is so much off? ( I use the sliceLocation variable and maybe in some cases it is wrong?)",0,None,14,Wed Jan 13 2016 05:57:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18372,/competitions/second-annual-data-science-bowl,1st
/pauljurczak,0.036023 score without looking at the images,"Before starting with image processing, I've built the basic infrastructure for my C++ application: DICOM and CSV file I/O, submission generation and evaluation, machine learning pipeline, etc. Having it all working, I wanted to generate a few preliminary results staying close to the physical reality and far away from deep learning. I noticed that patient data contains age and sex information in DICOM tags. Common sense supported with a quick web search confirmed that female hearts are smaller than male hearts and normal heart growth stops at adulthood. I created a model for LV volume based on piecewise-linear functions of patient's age, one for each of {male, female}x{systole, diastole} domains. Each function has a positive slope for age arguments in child range and zero slope at median value for arguments in adult range. Here are the parameters of the best scoring model I found with supervised training using a simple brute force minimum value search: female child systole: 2.41x + 15 female child diastole: 7.61x + 22 female adult median systole: 53.6 female adult median diastole: 144 female adult age: 16 male child systole: 4.69x + 0 male child diastole: 10.8x + 9 male adult median systole: 75 male adult median diastole: 181 male adult age: 16 The next step was generating the CDF (cumulative distribution function). Simple step function evaluates to 0.050397 on the training set. Replacing it with piecewise linear CDF (horizontal-slope-horizontal) with a slope of 0.01 improves the result significantly to 0.038542. The best scoring CDF uses approximation of [Link]:http://mathworld.wolfram.com/NormalDistributionFunction.html given by equation (13) on that page, but the gain is very tiny with final result of 0.036023.",30,gold,15,Wed Jan 13 2016 09:37:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18375,/competitions/second-annual-data-science-bowl,113th
/krishnateja614,Regarding the usage of dataset for academic research purpose,"Hi, I'm a MS student in the University of Utah and I'd like to know if we can use this dataset for research and academic purpose?",0,None,3,Wed Jan 13 2016 11:32:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18376,/competitions/airbnb-recruiting-new-user-bookings,814th
/subhojitmukherjee,Exploring the Data,This is good,0,None,6,Wed Jan 13 2016 13:33:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18377,None,None
/triskelion,Mapping with sum(row),"A short experiment to show that taking the sum of a row can separate class ""0"" from class ""1"" and ""2"". Furthermore: When sum(row) is low, it is likely to be class ""0"", when sum(row) is medium, it is likely to be class ""1"". When sum(row) is higher, it gets more likely to be class ""2"". Edit: Using function distance_to_median_sample(row) we can get more separation between class ""1"" and ""2"". Click output2.html to see this.",1,bronze,3,Wed Jan 13 2016 14:52:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18378,None,None
/shashank27392,Handling Categorical Variables in Python,In the dataset the variable Product_Info_2 is categorical with string values. Now I need to convert it into numerical data for further processing. Between LabelEncoder and One-hot-Encoder I am confused on which one to use. Label Encoder will introduce notion of ranking between the values and one-hot vector will increase the number of variables which can result in overfitting. Can anyone suggest which method to use?,0,None,3,Wed Jan 13 2016 15:35:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18379,/competitions/prudential-life-insurance-assessment,2546th
/lukastoma,Something wrong with the grader?,"Hi guys, I cannot get any score higher than 0.00000 (even tried sample_submission.csv). Is everything ok with the evaluation system? Thanks",0,None,2,Wed Jan 13 2016 15:52:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18380,/competitions/airbnb-recruiting-new-user-bookings,90th
/yangnanhai,Just looking for a partner,"Hi there, I'm working alone, and I want to get a teammate hoping help each other and get a good result. Now I'm in 72th in the LB , and did not try much on blending or stacking. I've tried different models: MLP 0.964** ( [Link]:https://www.kaggle.com/yangnanhai/homesite-quote-conversion/keras-around-0-9633) GBM 0.96735 XGB 0.96826 Random Forest 0.95850 (did not try much) So, if you are good at stacking or blending, or just as me want to have a teammate to work together and learn much more on models, please contact me. email: [Link]:mailto:nanhaimuyi@gmail.com Sry for my bad English since it is my second language.",0,None,2,Wed Jan 13 2016 15:52:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18381,/competitions/homesite-quote-conversion,129th
/felixthecat,Final submission deadline is today,"(Sorry for the mistake in the title) Just a reminder, the deadline for 1st submission is next week. 19 Jan.",-7,None,1,Wed Jan 13 2016 16:28:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18382,/competitions/the-winton-stock-market-challenge,21st
/epinephelus,Where is the list of old points?,"Is there a list of the original data-points, so as to know which where added in the competition after the update?",3,bronze,5,Thu Jan 14 2016 00:38:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18383,/competitions/the-winton-stock-market-challenge,15th
/aewhatley,What exactly is log_feature?,"I am a bit confused by the log_feature file. So, there is a log_feature column and a volume column. Does the number in the volume column correspond to the feature in the log_feature column, or are they independent?",1,bronze,1,Thu Jan 14 2016 02:35:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18385,/competitions/telstra-recruiting-network,341st
/farmiurl,Convert Out-of-bag (OOB) estimates to quad weighted kappa score,"Hi, anyone knows if there is a way to calculate an approximate quad weighted kappa from an OOB estimate obtained from a GBM (using scikit-learn but the answer does not have to depend on that)?",0,None,2,Thu Jan 14 2016 04:31:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18386,/competitions/prudential-life-insurance-assessment,705th
/zhouhao,Questions in validation dataset look so wired,"Does anyone notice that the questions in the validation dataset look so wired? They can hardly be called a proper sentence. In this sense, what is the purpose of submitting answers for this kind of dataset? Does this indicate that we need to resort to information retrieval rather than NLP approaches?",-2,None,1,Thu Jan 14 2016 05:15:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18387,/competitions/the-allen-ai-science-challenge,44th
/kathakaliseth,iris kNN Clustering,iris KNN Clustering in R Sepal Width vs Sepal Length scatter plot with cluster center. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104593/3563/flower.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104593/3564/iris_kNN_code.txt [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/104593/3565/iris_cluster.png,8,bronze,1,Thu Jan 14 2016 07:57:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18388,None,None
/tambykaghdo,DeprecationWarning: h2o.gbm is deprecated,"Hi all, When running a gbm model using h2o 3.6.0.8 in Python I get the following warning: DeprecationWarning: h2o.gbm is deprecated. Use the estimators sub module to build an H2OGradientBoostedEstimator. I have been looking for an example on how to build a H2OGradientBoostedEstimator but with no success. Could you please direct to the right path? Thanks",1,bronze,1,Thu Jan 14 2016 18:45:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18391,/competitions/prudential-life-insurance-assessment,None
/bascom,Homesite noChar Function Definition,[Link]:http://3.bp.blogspot.com/-yrV0bK8mjsg/VpfaP0qmwZI/AAAAAAAAAe8/tb1QQXwqSw0/s1600/Alturas%2BIII%2B-%2B01-10-2016%2B-%2BKaggle%2B4%2B-%2BHomesite%2BInsurance%2BglmTX.3.x%2BROC%2BAUC%2BDashboard%2BFINAL.png,0,None,4,Thu Jan 14 2016 19:34:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18393,None,None
/aewhatley,Doing feature selection on feature vectors,"I have seen many posts and tutorials on Kaggle for doing feature selection (determining which features correlate most closely to the answer) on discretized and continuous 1D data. Are there any good tutorials on how to do feature selection on feature vectors, for example, the binary vectors showing whether words in a corpus appear in a set of sentences? Would we do feature selection on each word in the corpus, or would we do something else? Thanks.",0,None,1,Thu Jan 14 2016 20:23:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18394,None,None
/patrickklein,How realistic are the returns?,"Hey guys, I have a short question. I m training a recurrent neural network on the data. While looking through the data set, I observed something wired. For example, look at the first row / time series training example: Ret_MinusTwo |Ret_MinusOne| Ret_2 0.05527489897961132 |-0.01077013642844919| 2,95E+09 The value of Ret_2 for id=1 is amazing. An one minute stock return with a value of 2950000000 (USD?) seems to be very unrealistic. And there are a lot more these huge outlier values in my train.csv. Is this correct? I am a little bit confused if I got it right? Thanks in advance for any help!",0,None,2,Fri Jan 15 2016 00:04:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18395,/competitions/the-winton-stock-market-challenge,None
/ilovesolder,Learning CNN and AWS,"Hello everyone! I have been following the Deep Learning Tutorial provided by Booz Allen Hamilton. Setting up environment was a pain but I think everything is working now. I have seen that people use AWS so that their personal computer don't have to be running full power all the time. I looked up AWS and I was swamped by all the features on AWS and tutorial there are online. (for example, whats the difference between using the AWS machine learning service, and running programs on EC2?) Does anyone have a suggested tutorial to follow, given that I have successfully trained neural networks with both Caffe and Theano/Lasagne/nolearn? many thanks",0,None,17,Fri Jan 15 2016 01:30:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18396,/competitions/second-annual-data-science-bowl,147th
/nlothian,Graph based features,"Has anyone had any success using graph based features? I've been working on an expanded version of Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge[1] for a while now and I'd be interested if anyone else is doing anything similar. I implemented the version in the paper without the Free-Association database, and are now attempting to extend the approach to questions with multi-word answers, and to incorporate open-information-extraction techniques to expand the background scene graph. I'd love to hear if anyone has had success with this kind of approach though. [1] [Link]:http://allenai.org/content/publications/EMNLP2015_SceneQA_CameraReady.pdf",0,None,6,Fri Jan 15 2016 06:07:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18398,/competitions/the-allen-ai-science-challenge,43rd
/nlothian,"Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions","In Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions[1] we see an ensemble of methods is able to achieve 71.3% against 4th grade science questions. I don't think anyone would find this surprising. The individual methods seem about right, in particular the ~60% correct rate for an IR model. The thing I found most surprising was the ~55% rate of their SVM solver, which used a Word2Vec style model. I haven't read the paper on their exact model, but this was considerably higher than the < 40% correct rate I think most have seen on our question set using either Word2Vec embeddings or custom trained using Gensim. Does anyone have any thoughts on why this could be? My thoughts were: Maybe the questions we have require so much broader world understanding that this style of model can't incorporate it? Maybe our answers are intentionally more confusing, which makes it difficult for this style of model to distinguish between two closely related answers. If either of these is true, would it also indicate that the PMI model in this paper would underperform against harder questions? [1] [Link]:http://allenai.org/content/publications/aaai-16-aristo-final.pdf",3,bronze,3,Fri Jan 15 2016 06:46:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18399,/competitions/the-allen-ai-science-challenge,43rd
/mabrek,"source code & description, 66th place, R, glmnet + xgboost",Detailed description [Link]:http://mabrek.github.io/blog/kaggle-forecasting/ Short description [Link]:https://github.com/mabrek/kaggle-rossman-store-sales/blob/master/strategy.md Source code [Link]:https://github.com/mabrek/kaggle-rossman-store-sales,5,bronze,9,Sat Jan 16 2016 16:46:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18410,/competitions/rossmann-store-sales,66th
/cabana,Interactive Shiny map,I played a little bit with Shiny and this dataset: [Link]:https://cabana.shinyapps.io/SanFranCrime/ Code: [Link]:https://github.com/cabanana/SanFran/blob/master/shinyapp.R I'm thinking about a dashboard. Maybe I will continue ….,0,None,2,Sun Jan 17 2016 02:40:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18417,/competitions/sf-crime,None
/honeyduhar,AUC evaluation metric,"Hello I'm newbie. I'm unable to understand this line ""Submissions are evaluated on area under the ROC curve between the predicted probability and the observed target."" After googling I only understood that generally AUC is taken for ROC curve between True positive and False Positive. How is AUC calculated for this competition as the line above says its curve between probability and observed target?",1,bronze,1,Mon Jan 18 2016 07:16:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18439,/competitions/homesite-quote-conversion,634th
/vu3mmg,Beginner  Query: Printing the output with 3 probablities,"Hi, A Beginner query . Could you please help me with some examples to print the output with three probabilities . Any hints ? Thanks in advance . mahesh",0,None,3,Mon Jan 18 2016 23:20:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18451,/competitions/telstra-recruiting-network,956th
/zeroentropy,First vs. Final Submission,"Hi All, I am new to Kaggle so please forgive me for asking the obvious :-). Am I eligible to make submissions for the final competition as long as I make ANY submission (that is scored without throwing an error) by tomorrow's deadline? -Z",0,None,1,Tue Jan 19 2016 02:59:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18453,/competitions/the-winton-stock-market-challenge,519th
/vamshi1225,Data Preparation,How to get final modeling data? And which sheets we need to consider? Thanks in advance.,0,None,5,Tue Jan 19 2016 12:41:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18455,/competitions/telstra-recruiting-network,None
/remap1,Discontinued products,Some products are discontinued. How are those rated?,0,None,1,Tue Jan 19 2016 13:55:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18456,/competitions/home-depot-product-search-relevance,11th
/annavictoria,1st submission deadline today,The first submission deadline for this competition is only 6.6 hours away! Be sure to make a submission before that time in order to participate in the final week of the competition.,0,None,10,Tue Jan 19 2016 18:22:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18457,/competitions/the-winton-stock-market-challenge,None
/del=f5338ddc5d03ad82,Who's competing as a student?,I'm wondering who else is competing as a student to have an idea of how the student leaderboard is.,0,None,17,Tue Jan 19 2016 23:50:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18462,/competitions/the-winton-stock-market-challenge,596th
/engrstudent,submit file - compression options,"Dear Winton, It takes a while to upload my submission. There are several things that I wish could be accepted in my submission: I wish that I could ignore rows, and they would be presumed to be zero. (Sparse) This means that if I submitted only the column names, it would be the ""zero submission"". I wish I knew what significant figures were relevant. Do you really care about that 6th decimal place? CSV is ascii, so it doesn't zip well. I wish I could submit in SQLite3, or zipped variations thereof. I have seen it have ~1% of the footprint of the CSV it was derived from. SQLite3 also reads and writes amazingly faster than CSV. I've seen places where it is thousands of times faster in the read/process. The score could be a ""SELECT"" statement that runs screamingly fast compared to CSV. Oh, a 1% footprint is about 100x faster to virus-scan. If your ""Id"" had been split into 2 numeric columns instead of being a 7-million-element array of characters, then it would have compressed significantly better. I'm guessing this is an analog to a stock-ticker lookup. Best regards, EngrStudent",0,None,1,Wed Jan 20 2016 00:12:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18463,/competitions/the-winton-stock-market-challenge,703rd
/bottleisland,how to do feature engineering?,"Hi. I'm a newcomer from south korea. I read a article about 'how to enhance accuracy on kaggle competition' On this article, many seniors say that 'feature engineering' is so important but, I don't know how to do that. From now, I benchmarked someone's script, and adjusted parameter, and cleaned data a little bit(ex. age range) In this way, I got 0.86636 score. but, I feel that I can't enhance score anymore through this way how to enhance accuracy more than now? I'm frustrated……",0,None,8,Wed Jan 20 2016 03:27:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18465,/competitions/airbnb-recruiting-new-user-bookings,None
/kporterrobinson,Any interest in teaming up for non traditional approaches,"Just for fun, and to see how far it can go, I was thinking about borrowing and stacking on top of a few boundary representation techniques from the image recognition community (see [Link]:https://www.researchgate.net/profile/Serge_Belongie/publication/2353535_Shape_Context_A_new_descriptor_for_shape_matching_and_object_recognition/links/0912f50b3498fd04df000000.pdf and [Link]:http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdf) to approach this challenge. In [Link]:https://www.researchgate.net/profile/Serge_Belongie/publication/2353535_Shape_Context_A_new_descriptor_for_shape_matching_and_object_recognition/links/0912f50b3498fd04df000000.pdf their shape context approach gets 96.2%. I'm happy to use neural nets as well but alternative representations/approaches could serve as input and inspire a more creative solution than a typical straight forward neural network ensemble. Feel free to contact me if there's any interest in collaborating over github, etc. I can contribute about 8 hours a week on this. I can work in Python or R but prefer Python since I've started developing some prototype code in Python. Background: I'm a machine learning and data science consultant, have a masters in computer science, bachelors in electrical engineering and have 6 years of industry experience prior to starting consulting. [Link]:https://www.researchgate.net/profile/Serge_Belongie/publication/2353535_Shape_Context_A_new_descriptor_for_shape_matching_and_object_recognition/links/0912f50b3498fd04df000000.pdf ""Shape Context: A new descriptor for shape matching and object recognition,"" Serge Belongie, et al (2000) [Link]:http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/MORSE/boundary-rep-desc.pdf ""Lecture 7: Shape Description (Contours) ,"" Bryan S. Morse, Brigham Young University",0,None,6,Wed Jan 20 2016 03:54:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18466,/competitions/digit-recognizer,None
/narsil,Benchmark Score Script,"Why do You use that command? pattern <- paste(""(^| )"",words[i],""($| )"",sep="""") I understand that it has something to do with anchors? Thanks!",0,None,4,Wed Jan 20 2016 08:51:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18467,None,None
/simonstolz,Beginner Data Analysis,"Nice way of getting a first impression of the data. Why did you not use ggplot anymore, that you loaded in the first versions of the script? When I look at summary(train) I also see quite a few typos occuring as the most frequent (maybe a bit artificial for a dataset) in the ""search_term"" variable (e.g. ""contact paoer"" or ""bed frames headboaed""), which probably is also a challenge to be recognized and corrected.",0,None,1,Wed Jan 20 2016 09:17:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18468,None,None
/bottleisland,xgboost+session,I don't know why this script is wrong ….. what's the problem ? …..,0,None,5,Wed Jan 20 2016 11:13:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18470,None,None
/abhijit78,Question to Homesite,"Hi, First of all, thanks to Homesite for posing this interesting problem. My question is: is homesite going to use the winning solution in a production like environment within their systems? Well, this question might sound simpler (or foolish…well, that's what for competition is?). But it is not. There are evidences in the past (e.g. Netflix) where the hosts did not implement the winning solution (despite good improvements over baseline). The main reason being the complexity of the model. In most of the competitions, ensembles win. But it inherently increases the complexity also. This complexity may be from the implementation, maintenance, re-tuning the parameters etc. point of view. I am sure in this competition also ensembles will win. Which model will you choose? A complex model which is, for e.g., 98% accurate (a winning solution) over a single model which might be 97% accurate (might be residing at below 100 position on leaderboard). Putting it other way, this 1% more accuracy is how much important? Is it going to be statistically significant? How much business impact it will have overall? Will it get that break-even (for the computational complexity) in terms of profits that will be made with 1% more accuracy? My personal suggestion to Kaggle Admins: I think it will be a great strategy to ask your clients to keep one prize for one single best model. So that they can assess the single best model compared to winning ensemble and take a call when it comes to implementation in their systems. It's like posing the challenge to participants that how much you can improve on a single model? I feel that will be more challenging. This question is definitely not to underestimate anyone's efforts here. It's a great learning experience always. Looking forward for insightful comments!",4,bronze,7,Wed Jan 20 2016 13:46:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18471,/competitions/homesite-quote-conversion,123rd
/mtutek,Typos in the product descriptions.,"I'm going through the product descriptions manually and I've noticed that in quite a few places, the descriptions contain lexical errors - the words are concatenated without spacing - Examples : ""concrete surfaceActual"", ""storesOnline"", ""informationRevives"", … I'm assuming that while creating the product description file, someone concatenated all the lines in a description file without adding spaces in between. Since most word/sentence tokenizers will not recognize the wrongly merged words (and full-stops), this will add an unnecessary, and quite difficult pre-processing step. Is it possible to update the descriptions with valid spacing? Edit: I've noticed that the misspelled text are actually the bullets from the attributes page, and I've tried finding where the first bullet starts & replacing the text with the well joined one, however there are some issues with matching bullets, such as ""Versatile connector for various 90° connections and home repair projects"" (found in attributes.csv, line 2) and the matching text in the product description ""Versatile connector for various 90 connections and home repair projects"" (product_descriptions.csv, line 2). Therefore, I doubt that we can do this on our own without some possible loss of data.",3,bronze,9,Wed Jan 20 2016 14:03:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18472,/competitions/home-depot-product-search-relevance,1102nd
/dithyrambe,Custom objective for XGBOOST,"Hi here, I was wondering if someone would be kind enough to tell me where i can find defaults xgboost objectives' code. I'm looking for 'binary:logistic', 'reg:linear', 'multi:softprob' etc … I'm sure there are coded somewhere in the package library. Though, i can't find them. I just wan't to try implement my own objective, though i'm not really familiar with grad and hess notions … so finding the fine lines in the source code would help to understand. I guess. Thanks a lot, Dithyrambe !",2,None,10,Wed Jan 20 2016 14:27:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18473,/competitions/prudential-life-insurance-assessment,153rd
/wouterd1,AWS - usage of spot instances and persistence,"I would love to obtain best practices of running AWS spot instances for Kaggle Competitions. Let me know any tips in order to be up-and-running quicly again after one might get priced out of spot instances / instances get terminated. I had so far stored my data on a seperate EBS volume (probably good idea) but had not set my root device to persist (probably bad idea - as i have reinstall all packages again). I am using a G2x2 with SSD root device. Does one indeed prevent deletion of all packages and software (e.g. CUDA, etc.) if one simply makes the root device persistent? any help welcome!",1,bronze,1,Wed Jan 20 2016 14:43:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18474,/competitions/second-annual-data-science-bowl,64th
/woshialex,Number of slices (sax) <=3 cases,"How is the TRUE volume for the cases with number of slices <=3 are determined by the doctors? Thanks… I try to implement algorithms that completely mimic the process that a human figures out the volume, but there is not much detail about the process except that humans draw contour lines.",1,bronze,3,Wed Jan 20 2016 15:00:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18475,/competitions/second-annual-data-science-bowl,1st
/ideasquirrel,Scoring results after competition closes,"Hey, How do we go about scoring results after the competition closes? I'm considering using the data set for my Msc thesis but the competition closes long before I'm due to submit. Regards, Darren",0,None,4,Wed Jan 20 2016 15:00:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18476,/competitions/second-annual-data-science-bowl,None
/datacanary,naive,"You're getting an ""Unknown Error"" because the output is too large for the virtual disk, which is mucking up our stdout stream processor in a way that's difficult for it to recover from. Sorry about that; we're aiming to patch that bug soon. This competition's submission files are very large, so for Scripts you need to write them to disk in compressed form. See [Link]:https://www.kaggle.com/smerity/sf-crime/fighting-crime-with-keras/code for an example of how to do that.",0,None,1,Wed Jan 20 2016 21:13:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18478,None,None
/zachmayer,local CV,What kind of differences are people seeing between their local CV and the leaderboard?,3,bronze,13,Thu Jan 21 2016 00:34:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18479,/competitions/home-depot-product-search-relevance,12th
/nishkgp,Why so quiet ?,This is the first Kaggle competition I have seen where there is hardly any rank shuffling in top 15 when the competition is approaching its end. :) Best of luck to everyone for the private leaderboard.,0,None,4,Thu Jan 21 2016 03:48:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18482,/competitions/the-winton-stock-market-challenge,651st
/arty52,Food Cloud,,0,None,6,Thu Jan 21 2016 05:19:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18485,None,None
/vaidyasm,How do you search for a script with keywords?,"Hello Kaggle, It would be immensely helpful to have a search box to run a search on scripts with a list of keywords. I've been patiently waiting for this feature. Currently, I'm constantly pressing 'end' key on scripts page to load items from 'end-less pagination' of scripts until my patience runs out, then using browser's text search function. Shouldn't there be a better approach to this issue? Also suggested by WhizWilde as well on second paragraph of this post: [Link]:https://www.kaggle.com/forums/f/809/product-feedback/t/13728/kaggle-scripts-product-feedback/83652#post83652 Could you update us on plans for this feature? Thanks",0,None,1,Thu Jan 21 2016 06:31:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18486,None,None
/wenxuanchen,sklearn_random_forest,the score for this script (version 2) is 0.49739,3,bronze,12,Thu Jan 21 2016 08:17:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18487,None,None
/alsimak,worrying anomalies in the new data ,"Hi all . I accepted the change in the data with resignation . I had to build up a new model which is just starting to bear fruit , probably not in time to earn a prize . But , after days analyzing the new data , i have another worry . Today , for a third time , I have found a manipulation in the new data . By manipulation I mean there are certain shares that have been manipulated in at least three different ways whith only one purpose : To mislead and make it more difficult for the old leading models to score again . To reshape the new data expressly to lower the scores of the participants who where in the first places may be seen as part of the game , but i personally have doubts about its fairness . I can prove without any doubt that certain data has been modified with the sole purpose of lowering the scores of old top models . When the tournament is over and we can speak freely I will fully disclose how the data was manipulated (in 3 different ways) (one of them evident , two other subtle , but not subtle enough :)",2,bronze,12,Thu Jan 21 2016 12:09:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18489,/competitions/the-winton-stock-market-challenge,624th
/harishrvt,"[Question] Meaning of ""datadate"" column","Hello All, A minor clarification - what is the exact definition of the ""datadate"" column? I don't see this information on the Problem Information page or the Parameters excel sheet. Just saw some discrepancies so wanted to clarify its meaning before making any changes to the data used. Best Regards, Harish S",0,None,2,Thu Jan 21 2016 12:18:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18490,/competitions/nus-dsc5121-ga1-fragile-banks,1st
/scirpus,Genetic Programming LB ~ 0.64,I evolved the python code using Genetic Programming - hopefully it will give you some insights into important features,3,bronze,12,Thu Jan 21 2016 13:03:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18491,None,None
/markma,How to re-construct the SCD_ManualContours data?,"I have download the SCD_ManualContours data, but I have no idea how to reconstruct it to the original map from the text file there is folder name like SC-HF-I-01, so there should be an original dicom image in SCD_DeidentifiedImages? which one it is? what is the meaning of the text file in SC-HF-I-01? how can I reconstruct the Contours pix location in the dicom map?",0,None,1,Thu Jan 21 2016 15:19:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18492,/competitions/second-annual-data-science-bowl,None
/phunter,xgboost with GridSearchCV,"Please don't ask for the public LB score: I suspect the current public LB overfits too much. Trust your CV. Change the tree number and run on the local machine, one can reach ('Raw AUC score:', 0.99658004761109986)",3,bronze,19,Thu Jan 21 2016 17:35:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18493,None,None
/dmenin,GridSearchCV on xgboost ,"So far I’ve been using the XGB classifier from sklearn like so (with a super simplified code): from xgboost.sklearn import XGBClassifier mymodel = XGBClassifier(<my parameters>) mymodel.fit(train, labels ) mymodel.predict(test) copy looking at a few scripts posted here on kaggle I’ve decided to look at the xgboost pakage from ( [Link]:https://github.com/dmlc/xgboost), so I installed and tried to use it. The only way I could do it was (pseudo code again): import xgboost as xgb xgbparams = {'eta': 0.2, 'max_depth': 6, 'subsample': 0.5,…….} xgbmodel = xgb.train(params=xgbparams, dtrain=xgb.DMatrix(train.values, labels.values), num_boost_round=100) pred = xgbmodel.predict(xgb.DMatrix(test.values)) copy The main difference is that on xgb, I don’t create an object and then call “fit”, I call the fit directly. Is that the correct way of doing it? My question is driven by the fact that the second model performs really poorly, so I tried to run gridSearchCv to suggest better parameters but I don’t seem to know how to do it because on my XGBClassifier model, I do: params = [{ 'gamma' : range(0,10) , 'max_depth': range(3,10) , ……. }] clf = GridSearchCV(XGBClassifier(learning_rate=0.3,….), params) best = clf.fit(train, target) print best.best_estimator_ copy and on xgb I can’t create an object to pass as parameter to the GridSearchCV method. Is it possible to do that? Thanks",0,None,5,Thu Jan 21 2016 17:45:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18494,/competitions/airbnb-recruiting-new-user-bookings,171st
/gabovailati,randomForest method v1.0,"Hey man, Nice script. Can I make some questions? 1) Do you believe cforest performed better than randomForest? (You didn't put the plot and importance of cforest…) 2) Why did you use the median to fill the NA fares rather using the predict function? Thanks. Best, Gabriel",0,None,1,Thu Jan 21 2016 18:20:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18496,None,None
/oneoff,0.29 correlation on Ret_PlusOne variable,"my correlation between Ret_PlusOne and its predictor is 0.284 with randm forest approach, do you achive higher score ? (train data first 75% of train dataset, test data last 25% of dataset),",0,None,2,Thu Jan 21 2016 20:24:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18499,/competitions/the-winton-stock-market-challenge,738th
/mylesoneill,SF Salaries by JobType,"This is a really cool script! I would love to see a visualization of the data, maybe with some error bars to capture the number of records column.",3,None,4,Thu Jan 21 2016 22:03:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18500,None,None
/mylesoneill,Salary Exploration,"Interesting to see overtime pay increasing over the last 4 years, I wonder what is driving that change?",0,None,1,Thu Jan 21 2016 22:12:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18502,None,None
/mylesoneill,Candidate Sentiment Comparison,Really cool script! It would be great to see some of this data visualized too.,0,None,1,Thu Jan 21 2016 23:18:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18503,None,None
/mylesoneill,Analysis of GOP data,This is an awesome script! I love the visualizations! Can you explain the last plot (006)? What is it representing?,0,None,1,Thu Jan 21 2016 23:23:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18504,None,None
/yamyamyuo,LiblineaR(score=2.5921),"this script has error, the submission cannot be scored.",0,None,1,Thu Jan 21 2016 23:42:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18505,None,None
/bitsofbits,Using the data outside of the competition,"On the data download page it says that the data is available for ""research and academic pursuits"". I have a couple of questions about that. First, can it be used for commercial research, by which I mean using the data to develop algorithms for commercial purposes, but not using the data itself commercially. Second, is it possible to download the data outside of the competition framework? For researchers who are not particpating in the competition, it would be nice to be able to agree to a license specific to the data rather than agreeing to the entire competition agreement",0,None,2,Fri Jan 22 2016 00:11:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18506,/competitions/second-annual-data-science-bowl,11th
/leustagos,Not awarding points is totally unfair,"I think that not awarding points is totally unfair. Everybody knows how hard it is to place in these masters competitions so a point reward should be given. In the previous master competition Willian Cukiersky (i dont think i spelled that right) told thats this is because Kaggle is a meritocracy, and if entrance is limited it should not give points to be fair. I totally disagree. As a seasoned kaggler, i know that in order to compete for the VERY TOP one cannot take part in multiple competitions (there are exceptions, i know). So when someone really aim for prizes in a master competition, whats is really happening is that they wont be given a chance to earn points in the allocated time. And its not unfair neither prizewise or pointwise with fellow kagglers, because there are usually many other competitions running simultaneosly that they can take part and earn their points and/or prizes. Im sad with this bacause im seeing my rank go down just for trying to earn more prizes in masters competition. Its my choice, I know. But its sad nevertheless.",19,gold,27,Fri Jan 22 2016 00:45:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18507,/competitions/cervical-cancer-screening,2nd
/robertfeyerharm,Regulatory/ethical issues with using open source code for new medical procedure?,"Where does the FDA stand when it comes to regulating new medical procedures developed with open source code such as R or Python vs. commercial software such as SAS or Matlab? How would you convince a physician to implement the winning methodology in this competition if he or she feels uncomfortable with relying on open source code? For that matter, given that people's lives may be at stake, should we be using open source code?",-8,None,3,Fri Jan 22 2016 05:07:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18508,/competitions/second-annual-data-science-bowl,None
/saurabhk666,Looking to Join a team ,,0,None,9,Fri Jan 22 2016 07:57:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18511,/competitions/home-depot-product-search-relevance,133rd
/rsettlage,"RMarkdown cache doesn't work, need some info on the file system","Hi, I tried to use the cache=T for RMarkdown and had a write error. I was then curious if the permission issue was in R trying to make a temp file in an odd place, so I tried making my own poor man's cache. This is not working either, so I am guessing the working directory is temporary to the script call. True? Can someone elaborate on this? If I write a temp file to save some calculations in anticipation of hitting the wall time, is there a way for me to retrieve it to start where I left off? Thanks, Bob",0,None,1,Fri Jan 22 2016 08:59:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18512,None,None
/shubh24,Feature Engineering Ideas,"I'm currently using XGBoost (with CV) on the Sessions + train_users Dataframes, without any specific feature engineering. Currently, I've applied one-hot encoding on all the factor variables, yielding a LB score of 0.85169. Feeling a bit overwhelmed by the large features for manual observations. Any insights you might want to share?",0,None,12,Fri Jan 22 2016 09:00:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18513,/competitions/airbnb-recruiting-new-user-bookings,1092nd
/soccermann,Rare Events,Hi.. I'm a newbie to kaggle. The first look of the data shows that the distribution of destination country is too much biased. Are you guys trying to fix it using SMOTE or something like that? Or should I go with some rule based predictions?,0,None,2,Fri Jan 22 2016 10:54:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18514,/competitions/airbnb-recruiting-new-user-bookings,1328th
/vivekbhadouria,Systole and diastole volume calculation from series of 2D segmented image?,"Can anyone please explain me, how to calculate the volume of blood from segmented image? Say for example, if I have series of 2D segmented image (approx. 30 in the present case), then how can I calculate the systole and diastole volume? PS: I am a MATLAB user.",0,None,1,Fri Jan 22 2016 13:00:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18516,/competitions/second-annual-data-science-bowl,None
/envymyfieldsmedal,Where are the winning models...the code? ,"The competion rules explicitly state ""The winning models will be open sourced."" I do find [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/14335/1st-place-winner-solution-gilberto-titericz-stanislav-semenov/ of the highest ranked competitors in the forum. I also do see in the private leaderboard that the model was uploaded as indicated by the ""‡"" symbol besides the competitors' team name. However, I cannot find the code or any reason why it is absent. Any hint will be appreciated.",5,bronze,2,Fri Jan 22 2016 15:11:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18517,/competitions/otto-group-product-classification-challenge,None
/wcukierski,What makes food delicious?,"Reassuring to see that being ""delicious"" is highly correlated with delicious food :)",1,None,3,Fri Jan 22 2016 16:08:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18518,None,None
/zhenzhou,write paper with the dataset,Can we write a research paper with this dataset? I understand that we can seek permissions. Anyone knows how to go about it?,1,bronze,1,Fri Jan 22 2016 17:31:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18519,/competitions/homesite-quote-conversion,None
/taffeylewis,Awareness of upcoming competitions,"Since Kaggle has rebranded exclusively as a data competition company, it would be great if there was a little more awareness of upcoming competitions, even if there are no major details. My time available for Kaggle is growing more limited (is this a good thing?) and I would like to commit fully when I do pull the trigger to enter a competition, so being able to plan around a competition that I really want to do (versus just whatever is open at the moment) would be awesome. I assume that there is a point in most competition planning phases where the sponsor is committed and the details are roughly known, and it would seem reasonable to at least give us a heads-up of what's in the pipeline. Info that would be greatly appreciated would be tentative start dates and competition lengths, rough estimates of size of data to be provided (maybe S, M, L, XL, where S would be say 1-5 MB data like the Christmas challenge, and XL would be 10's of GB like the image analysis competitions), and a brief description of the planned competition goals. Any chance such a thing could come to pass?",5,bronze,6,Fri Jan 22 2016 18:10:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18520,None,None
/benhamner,Exploring Your College (Duke University),"I wrote this as a short, introductory tutorial to RMarkdown and ggplot2 on the US College Scorecard data. I encourage you to fork it, use it to explore your own college, and extend it!",0,None,1,Fri Jan 22 2016 20:00:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18521,None,None
/antgoldbloom,Association structures in Airline data ,"I've played with PCA before but never association plots or MCA. Glad to see an example usage and be able to add these to my toolkit. Thank you! For the association plots, I assume the width of the box refers to the number of Tweets referring that that airline? I assume 81.6% is the proportion of co-movement explained by the first dimension. Is that correct? Is it typical for the first dimension to explain so much of the co-movement? Any thoughts on how to interpret this dimension? Small nit: You might want to change $res to $reason. I initially assumed $res stood for residual. And reduce the font size for the x axis label on plot 2. That's the most interesting plot to me, but it's hard to read the labels because they overlap.",0,None,4,Fri Jan 22 2016 20:10:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18522,None,None
/yifanxie,Will this competetion ever been finalized?,"Dear Kaggle Team: Last year I had immense fun participating in the ""Bag of words meet bags of pop corn"" challenge. It is un-ranked but i still put huge effort into it , and achieve a good ranking (I think!) However, after the competition deadline, it seems be stuck in the ""validating result"" phase, and never finalised? Just wonder if you are planning to finally finalised this, and release the final ranking? The leader board is here: [Link]:https://www.kaggle.com/c/word2vec-nlp-tutorial/leaderboard Thanks for your effort to put up interesting competition! Regards Yifan",1,bronze,2,Fri Jan 22 2016 20:28:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18523,None,None
/googlepm,How to organize a competition on Kaggle?,Can you please let me know how we can organize a biomedical competition on Kaggle? Thanks,0,None,1,Fri Jan 22 2016 22:36:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18524,None,None
/zebovx,So I can not make submission anymore ,Is it because of the deadline? Just wanted to check how it went fore…. Is it possible at all or I have to wait till the end of competition? Cheers,0,None,3,Fri Jan 22 2016 23:18:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18525,/competitions/the-winton-stock-market-challenge,None
/remap1,A closer look at the data,"The scripts on the site so far are models that determine the relevance mostly looking at word and match counts. I started off with a more concrete approach and as you can tell from the LB, it's challenging to get that to converge. I decided to take a closer look at the data and output a debug log of records that lose more than 0.8 points and where a query was done on a specific brand (so it's not all records > 0.8). It's here and has some 1080 records: [Link]:https://drive.google.com/file/d/0Bz5_5lIVJmVUQnc2M1p0YlM3RWc/view?usp=sharing The instructions made clear that brand was as important as functionality, but there are numerous cases where different rules appear to have been followed. Some examples are given below. 1593,3.0,1.33,werner,werner,multipurpose project tray,werner ladder copy I output 3.0, but the relevance is considered 1.33. The multipurpose project tray is something you'd hang on the side of a ladder for working with paint and it's made by werner. So it's related to a warner ladder, but 2 out of 3 agents rated it as 1.0. Not all in the file is erroneous, there are many processing errors, issues with brand names and parsing, etc, so these are issues with my code. In cases not related to brand matches, lower scores are given to search terms that are less specific, like ""quick"". Less specific terms tend to get rated towards 1.0 even if the result covers the term well: quikrete quick setting cement copy (I scored 3.0, the rating was 1.33). margarita against ""margarita and slush machine"", relevance 2.0, but I scored at 3.0. imc against ""Portable ice maker"", relevance 2.67, but I scored at 1.406 (only the model name is imc-xxxx). ""wax"" against ""instant wax remover"" rated 1.33, I scored at 3.0 If the customer would just type a bit more, then sure, it would give them better results, but maybe they just want to explore something in general? Suppose they have a house in all terracotta style, why shouldn't they be able to browse the site for anything related to that? If generic search terms have lower relevance scores because of lack of specificity, then this also has an impact on the performance evaluation of the search engine (the other forum post stated that that was the objective). This raises some concern that less specific terms can become suppressed over time and unnoticed, because this dataset determines them as irrelevant and therefore suppressing them leads to higher performance scores. Which means that customers in the end have to wade through more stuff that's not related for less specific search terms. In my stats, I have 13k records > 0.8 difference on 74k records overall (train) and this is preventing me from converging beyond the 0.8 barrier. Funny bonus one: Big Ass Fans 3600 144 in. Yellow and Silver Aluminum Shop Ceiling Fan"",""big ass"",1 copy Then there are also a good deal of very surprising lines that leave you wondering how this could've gotten wrong (clearly a great match, but a low score was given): 98850,130943,""American Standard Cadet 3 FloWise 2-piece 1.28 GPF Single Flush Right Height Round Front Toilet with Concealed Trapway in White"",""concealed trapway toilet"",1.67 98539,130815,""Screen Tight 36 in. x 80 in. Brookgreen Solid Vinyl White Screen Door"",""36 screen door"",1.67 97918,130541,""Klein Tools Tradesman Pro 10 in. Tote Organizer"",""klein bag"",1.67 97755,130479,""DMI Elongated Hinged Elevated Toilet Seat in White"",""raised toilet seat"",1.67 42161,110162,""Prime-Line Steel Sliding Glass Door Mortise Lock"",""locks for sliding doors"",1.67 480,100072,""Duck 1.41 in. x 60 yds. Blue Clean Release Masking Tape, (16-Pack)"",""3 blue masking tape"",1.67 219193,3.0,2.0,kohler,kohler,touch up paint kit in biscuit,kohler highline touch biscuit 208164,3.0,2.0,bosch,bosch,5/32 in. carbide sds plus bulldog xtreme rotary hammer bit,bosch rotary hammer bit copy ""barn door hardware"" against ""78.75 in. Matt Black Bent Strap Barn Door Hardware"", got a relevance of 1.33 and I scored at 3.0. Hope this helps someone.",24,gold,9,Sat Jan 23 2016 00:09:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18526,/competitions/home-depot-product-search-relevance,11th
/wendykan,Kaggle Scripts enabled in this competition,"Hi all, We have enabled Kaggle Scripts in this competition! We're excited for you to start sharing your insights about the dataset. As stated in our [Link]:https://www.kaggle.com/c/cervical-cancer-screening/details/prizes page, The Insights Award will be awarded to the Script author who best represents, through a data visualization or analysis submitted via Kaggle Scripts, what features in the dataset have the great impact in predicting a patient’s screening status. The submission period for this award will be open for one week after the submission deadline on the competition. Kaggle and Genentech will subjectively review submissions and award the prize. We would like to emphasize that you can create a script if you have accepted the competition rules. Your scripts are viewable by the public. Therefore, please be aware and not print out raw data in your script so you don't violate the rules. Summary statistics, visualization, or any insights you have about the data are welcomed - just not the raw data. If you accidentally made a script that does so, please hide the script immediately. Happy Scripting!",0,None,26,Sat Jan 23 2016 00:54:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18527,/competitions/cervical-cancer-screening,None
/mconway,March Madness Machine Learning This Year?,Haven't seen anything on this yet… any hope of three years in a row? Mark,0,None,5,Sat Jan 23 2016 01:15:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18528,None,None
/wendykan,biggest rise,Cool script! Is it intentional that you put this line if y == first_year + 5: break so you only look at the first 5 years? Would love to see it for the entire time and see the trend.,0,None,5,Sat Jan 23 2016 01:18:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18529,None,None
/nitini,What kinds of models to start?,"I have never really done a lot of NLP tasks or recommendation / relevancy tasks before and was wondering where I should start in terms of building a model? I'm a bit lost as to how to go about this competition, but think it is super interesting. Any links / resources to get me started would be great!",1,bronze,11,Sat Jan 23 2016 01:41:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18530,/competitions/home-depot-product-search-relevance,207th
/brandao,Simple question... number of competitors increased,"Hello everyone, Yesterday I saw 829 people in this competition. Today there are 830 people in the leaderboard. After the deadline of the first submission. How is it possible? Sorry for a possible mistake, but it is my first time in kaggle. And do not understand the rules exactly. Thank you for your attention Regards",0,None,3,Sat Jan 23 2016 02:07:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18531,/competitions/the-winton-stock-market-challenge,2nd
/omovchan,Can we use product attributes data as well?,"Relevance instructions mentions ""Examine the Product Description. Do not only use the product title to determine relevancy"". But there is information if we can also use attributes.csv dataset.",0,None,4,Sat Jan 23 2016 04:06:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18532,/competitions/home-depot-product-search-relevance,924th
/chaoji,“0.99741！” It is impassable,"DataWiz, you guys nailed it! How did you manage to get such a score, it's inhumane. Orz. We're exhausted today and it's not even close. We'll fight back tomorrow.",0,None,3,Sat Jan 23 2016 10:55:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18534,/competitions/nus-dsc5121-ga1-fragile-banks,5th
/jazzsaxmafia,How to get all relations in WordNet?,"Hi. I am trying to use WordNet along with DART knowledge base. Different from DART, which has the files that indicate the relationships ( noun-verb-noun, noun-proposition-noun), WordNet does not work like that. How can I get all the relationships between words in WordNet? Thank you. -Taeksoo",0,None,3,Sat Jan 23 2016 13:11:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18535,/competitions/the-allen-ai-science-challenge,None
/zinx01,Imbalanced classes on data,"Hello everyone, I have a beginners question. Across most of the variables, data on different variables is not equally distributed between different values. How this can impact results and what are the solutions to consider ?",0,None,1,Sat Jan 23 2016 16:44:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18536,/competitions/prudential-life-insurance-assessment,None
/masterliu,Why are so many zero predictions?,"In the public leaderboard, i see there're over of the teams are in zero predictions and the score is greater than 1770.03211, where does this benchmark come from?",0,None,8,Sat Jan 23 2016 16:59:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18537,/competitions/the-winton-stock-market-challenge,763rd
/snowdog,Stuck at 0.663,"Hello Kagglers! I'm getting a little frustrated here… my LB score is now ~0.663, using xgboost. I read in the topics that it's possible to get past 0.67 without feature engineering, so that's what i'm trying to do and failing to achieve. It's frustrating because i have some ideas for new features, but i want to be on the 'same ground' before trying them. My settings: Use the cutoff points (i didn't ran optim in my data, just copy paste the values found on the forum) hot encode categorical variables replace missing with median (gave same/better results than let xgboost deal with them) eta: 0.01, max.depth: 10, col_sample: 0.4, nrounds given by cv 5 fold cv, min_child_weight: 50, gamma: 0, default for the others objective: reg:linear I tried another grid with smaller eta and 5 fold cv, no improvement. I have ~ 296 features after dropping the 'useless' ones, according to xgb.importance. My questions: How are you dealing with the categorical levels that didn't appear on both datasets? Do you run optim to get the cuttoffs or just copy paste the values found here? Well, i think that sharing these ideias will do no harm, since feature engineering and ensemble is what wins the 1st place. Thanks!",2,bronze,34,Sat Jan 23 2016 18:33:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18539,/competitions/prudential-life-insurance-assessment,64th
/losorganizados,Apply Model - Duda,"Buenas tardes profesor, Las columnas de la base de datos nueva deben estar en la misma posición que la base de datos original al momento de hacer el apply model?.. O, rapid miner busca las variables por su nombre?, Saludos, Organizados",0,None,1,Sat Jan 23 2016 20:15:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18541,/competitions/groupassignment4,5th
/robertfeyerharm,Repeated cross-validation worth the computing time?,"I came across [Link]:https://lirias.kuleuven.be/bitstream/123456789/346385/3/OnEstimatingModelAccuracy.pdf by Gitte Vanwinckelen and Hendrik Blockeel from the Dept. of Computer Science in KU Leuven, Belgium, calling into question the utility of repeated cross-validation, which has become a popular technique for reducing the variance of cross-validation. The authors demonstrated that while repeated cross-validation does decrease the variance of model predictions, since the same sample dataset is being resampled the mean of the resampled cross-validation estimates converges to a biased estimate of the true predictive accuracy and hence is not useful. What is the consensus on Kaggle - has repeated cross-validation been helpful or does it tend to perform just as well as a ""single replicate"" 10-fold cross validation in the long run?",3,bronze,2,Sun Jan 24 2016 04:20:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18542,None,None
/shyamr, best way of imputation ?,which is the best way of imputation/ handling the missing values in this data?,0,None,3,Sun Jan 24 2016 06:00:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18544,/competitions/prudential-life-insurance-assessment,1877th
/zhugds,read data from github?,"Hi Kagglers, I was wondering if I can read any data from github? How? Thank you!",0,None,4,Sun Jan 24 2016 06:15:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18545,None,None
/yashwanthreddy,Any ideas on ensembling  different models for this competition ?,,0,None,2,Sun Jan 24 2016 11:29:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18546,/competitions/airbnb-recruiting-new-user-bookings,15th
/khanna,NaN/division by 0 error.Submission errors.,"So Having an entire day only trying to make a submission, I really dont understand why is it failing, why is there a NaN or Zero division error while in my submission all I am submitting is a file containing real numbers(i even removed the exponential strings too and made them decimals). Please help.dont know why is it happening at the first place! this really frustrates one [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/105552/3579/errorwinton.png",1,None,7,Sun Jan 24 2016 19:38:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18547,/competitions/the-winton-stock-market-challenge,816th
/jocicmarko,Keras Deep Learning tutorial (~0.0359),"Hi everyone, a Keras-based deep learning tutorial for ~0.0359 CRPS is available on: [Link]:https://github.com/jocicmarko/kaggle-dsb2-keras/ Basically it is a conv net for linear regression task. There wasn't much experimenting with net structure, hyper-parameters and image pre-processing, so these might be a good place to start. Cheers, Marko",32,gold,121,Sun Jan 24 2016 21:17:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18548,/competitions/second-annual-data-science-bowl,48th
/kwantdaataa,late submission,"Hi, I discovered this challenge recently and it happens that I cannot submit my work. Could anybody post my results, so I can just know my score:)?",0,None,3,Sun Jan 24 2016 23:12:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18549,/competitions/the-winton-stock-market-challenge,None
/openneuron,"Tools to extract  nouns, verbs, adjectives et al from a given sentence","Hi Kagglers, Does anyone know whether there are any open tools to extract nouns, verbs, adjectives et al from a given sentence?",0,None,5,Sun Jan 24 2016 23:28:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18550,/competitions/the-allen-ai-science-challenge,93rd
/inversion,Digitize,"Looking through the scripts, I've seen a lot of different ways of applying splits to convert a continuous output to an integer category. The Numpy [Link]:http://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.digitize.html function makes it super simple. I'm pointing it out for those who may not be aware of it.",6,silver,10,Mon Jan 25 2016 02:41:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18551,None,None
/matthrin,Interpreting DICOM files in R?,"Hello, I am a new Kaggle(r), so please forgive my inexperience; I have read-in a DICOM image file within R, and I am trying to understand the attributes within it. The structure of the file is: List of 2 $ hdr:'data.frame': 91 obs. of 7 variables: ..$ group : chr [1:91] ""0002"" ""0002"" ""0002"" ""0002"" ... ..$ element : chr [1:91] ""0000"" ""0001"" ""0002"" ""0003"" ... ..$ name : chr [1:91] ""GroupLength"" ""FileMetaInformationVersion"" ""MediaStorageSOPClassUID"" ""MediaStorageSOPInstanceUID"" ... ..$ code : chr [1:91] ""UL"" ""OB"" ""UI"" ""UI"" ... ..$ length : chr [1:91] ""4"" ""2"" ""26"" ""64"" ... ..$ value : chr [1:91] ""216"" ""\001"" ""1.2.840.10008.5.1.4.1.1.4"" ""1.3.6.1.4.1.9590.100.1.2.88326266112102283316010794751441793851"" ... ..$ sequence: chr [1:91] """" """" """" """" ... $ img: int [1:256, 1:230] 0 0 0 0 0 0 0 0 0 0 ... copy My initial thoughts are that everything within the hdr dataframe is mainly just qualitative information that is not relevant for the semantic segmentation of the image. This leads me to believe the img field is representative of the actual DICOM image itself; does anybody know what the cells in the 256 X 256 img represent? Or know how to interpret the values in the matrix? Any help would be greatly appreciated!",0,None,2,Mon Jan 25 2016 02:59:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18552,/competitions/second-annual-data-science-bowl,None
/mightybird,Number of your features / RF with slightly negative probabilities?,"Hi, I am just wondering: How many features are you using for ""better"" results? And: I have run RF with 23 features and I think for the first time got slighty negative probabilities. -1E-14 ??? Should I make them positive before submitting? Thanks Gerhard",0,None,1,Mon Jan 25 2016 06:21:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18553,/competitions/homesite-quote-conversion,1008th
/mightybird,Visualization of observations?,"Hi, I was wondering if it is possible to (practically useful) visualize the features of the observations (preferably in one chart/pic per observation). Did anyone think about that, or even implemented it? This might be useful to visually capture interactions/differences between observations (converted/not converted). Of course one would need a good way to do that with 300+ features… I was thinking of normalizing the features and then plot them on one chart/pic. Maybe using color codes additionally. This would then i.e look like a grid of 10x30. Maybe different feature groups could be grouped in the chart as well. Cheers Gerhard",0,None,16,Mon Jan 25 2016 09:42:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18554,/competitions/homesite-quote-conversion,1008th
/wouterd1,Overfitting and validation curves ,"Some of my models start to overfit fairly rapidly (see attached curve). From a theoretical perspective - is it possible that a ""good"" model shows this behaviour? (and that one just has to stop early / train with few epochs)? Or does a great model always show you a slowly declining validation curve that just flattens out or only curves up slightly after many epochs? I saw the validation curves on e.g. [Link]:http://danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/ and I was wondering if and why this would be the ideal situation? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/105622/3582/validation_curves.png",0,None,2,Mon Jan 25 2016 11:37:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18555,/competitions/second-annual-data-science-bowl,64th
/fernandoconstantino,Let's team up,"Hi all, We are looking to team up with other kagglers for this competition. We are a team of 3 (Data Cousins) that always compete together. We put a lot of effort on this competition. We are currently in position 12. Our best single model is ------- [EDIT: it's now 0.96875] with quite a lot of focus on preprocessing. We have a 6cores/12threads server with 128gb Ram. May the Brute Force be with you.",1,bronze,7,Mon Jan 25 2016 11:47:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18556,/competitions/homesite-quote-conversion,8th
/jiweiliu,Exciting!,Teams merged. Secret weapon fired. Exciting! I hope everyone have fun! :D,4,bronze,4,Mon Jan 25 2016 19:42:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18559,/competitions/cervical-cancer-screening,6th
/ilovesolder,Recommended papers to read?,"Hey guys! So I'm trying to use this competition as a learning experience. I have followed through the deep learning tutorial for this competition, and played around with AWS. I read through the modules here [Link]:http://cs231n.github.io/ and I think I have a basic understanding of CNN. Now I'm looking to go further, both in this competition and in ML in general. Are there any recommended papers on MRI image processing, or other libraries/tools (ex, AWS) I should play around with? So far I have used Pandas, Scikit Learn, Caffe, Theano, Lasagne, Nolearn, .",0,None,1,Mon Jan 25 2016 20:12:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18560,/competitions/second-annual-data-science-bowl,147th
/dpalma,About the valid sample submission,"Hello, I doubt whether somebody will respond but I will post my question anyway. I am using these competition data for doing some research, I have a question regarding the files ""valid_sample_submissions"". They have a predicted score, is this a score given by humans or it is just an example of predicted scores? I need to know this, because I am planning to use this data for validation purposes. If this is not the case, then I will split the training data into training, and test sets. Hope somebody could answer this. Best Regards",2,None,1,Mon Jan 25 2016 20:33:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18561,/competitions/asap-aes,None
/michaelwenocur,Looking for a Kaggle Collaborator near Palo Alto,"I am seeking one or more collaborators preferably living in Palo Alto or very close by to work on competitions with me. You can learn about me via my LinkedIn profile [Link]:https://www.linkedin.com/in/michael-wenocur-351a639 . Sincerely yours, Michael Wenocur",0,None,2,Mon Jan 25 2016 21:07:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18562,None,None
/vincentclaes,editing forked notebook,"hello, I forked the notebook [Link]:https://www.kaggle.com/davidgasquez/airbnb-recruiting-new-user-bookings/user-data-exploration and i wanted to edit this notebook. But when i run the cell that reads the csv files train_users = pd.read_csv('../input/train_users.csv') test_users = pd.read_csv('../input/test_users.csv') copy i get the error: OSError: File b'../input/train_users.csv' does not exist copy how can i solve this? how can i connect with the correct datasets? thanks, Vincent [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/105686/3583/Capture.JPG",0,None,3,Mon Jan 25 2016 22:13:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18563,None,None
/aharasim,Academic paper,"Is it possible, besides participating in competition, to use the data and obtained results to write the paper for a conference?",1,None,5,Mon Jan 25 2016 22:42:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18565,/competitions/yelp-restaurant-photo-classification,34th
/wendykan,Cost Function (WRW) in R (fast version),Thanks for optimizing the script! It's very fast indeed. Wish it was published before the competition ended :),0,None,3,Tue Jan 26 2016 01:20:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18568,None,None
/aldente,Can fmin_powell & optim cause overfitting?,"Is post-processing to the prediction, (1) the fmin_powell used in the (Python) scripts to adjust offsets, and (2) the optim (R) to adjust cutoffs, be able to cause overfitting? That's my worrying, jumping down by 100 in private LB ;) What's your insights? If so, is it so bad or just a little overfit? Thank you in advance.",0,None,53,Tue Jan 26 2016 02:22:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18569,/competitions/prudential-life-insurance-assessment,68th
/jingmu2014,Faster way to convert to a submission csv in R,I started with a decision tree and did the prediction using predict(). Then I used a for loop to convert the 'words' into 0's and 1's but this process took about half an hour. I am wondering if anyone knows any better methods in R could make this step faster. Thank you very much!,0,None,2,Tue Jan 26 2016 07:27:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18570,/competitions/sf-crime,1665th
/masterliu,will be QuoteConversion_Flag probability?,"After checking the training data, it seems QuoteConversion_Flag is only 0 or 1, but i see it refers as probability on evaluation page. so is it a number(0, 1) or probability?",1,bronze,2,Tue Jan 26 2016 11:16:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18571,/competitions/homesite-quote-conversion,179th
/sagittariuseiya,Multi-class Log Loss,"hi all, If when the value of the Multi-class Log Loss of 3.00or2.50 , how many correct answer in the test data ?",0,None,1,Tue Jan 26 2016 12:25:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18572,/competitions/sf-crime,777th
/paolocremonesi,Final Report and Presentaion,The rules for the final report and presentation have been published [Link]:https://inclass.kaggle.com/c/recommender-system-2015-challenge-polimi/rules:,0,None,5,Tue Jan 26 2016 15:12:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18573,/competitions/recommender-system-2015-challenge-polimi,None
/charzard,New entrants/submissions after deadline,"Hi there, just wondering if it would be possible for new entrants to be allowed to make submissions? Or if it'd be possible to make submissions after the deadline? I'm not interested in competing for the prize, just want to see how effective my models are. Thanks!",0,None,1,Tue Jan 26 2016 15:30:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18574,/competitions/the-winton-stock-market-challenge,None
/tentotheminus9,The First Voyage of James Cook,"If you run this inside R rather than Kaggle (changing the data directory of course), you get an animated output with ship log text. Is there a way to do this on Kaggle with R?",0,None,3,Tue Jan 26 2016 15:36:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18575,None,None
/openneuron,testtest,"Hi Could you tell me which OS you are running this script? I ran it in Mac OS, the LB score always lower than what you get. Have you set random seed?",0,None,1,Tue Jan 26 2016 17:29:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18576,None,None
/bitsofbits,Best of luck everyone,"I still have no idea what the results of this contest will look like, but I look forward to seeing the results later today. Best of luck to everyone, it's been an interesting experience. Best Regards, -tim",1,bronze,9,Tue Jan 26 2016 18:44:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18578,/competitions/the-winton-stock-market-challenge,17th
/carissas,Competition End Timeline and Announcement of Winners,"Hi everyone, This post is to describe in more detail the final stage of the competition and the way we plan to announce the winners. All prize eligible models must be uploaded to Kaggle by 11:59pm UTC on February 5th. At this time the public leaderboard will be reset/refreshed. Any submissions made prior to this deadline will be cleared from the leaderboard. In order to be on the competition's final leaderboard, you will need to make a new submission after February 5th. The new final test set will be uploaded and made available within hours following the model upload deadline. You have until 11:59pm UTC on February 13th to submit your answers to the new final test set. At this point the submission window will close. Oren Etzioni, the CEO of AI2, will be announcing the winners on the morning of February 16th (~8:30am MT) at the Thirtieth AAAI Conference on Artificial Intelligence in Phoenix, AZ. The final leaderboard will also be revealed on Kaggle.com at this time. Verification of the winning models will begin at this point. If you are on a winning team, please be prepared to make your model and writeup available to us within 7 days. There will be various media outlets interested in covering this competition and the potential winners. As stated in the contest rules, we are asking that all winners be willing to engage with any interested media parties about their winning solutions, either by answering questions or providing requested statements about the competition, their model, or their thoughts on the challenge in general. Additional discussion and possible press coverage will be happening before the announcement date as well, including a special presentation on the challenge by Oren Etzioni at AAAI -- please stay tuned for another post about our request to gather information from challenge participants about your models and approaches!",1,bronze,8,Tue Jan 26 2016 19:23:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18579,/competitions/the-allen-ai-science-challenge,None
/katrien,Will the private scores be published in 4.5 hours?,Will the private scores (and the winners) be announced right after the end of the competition?,0,None,2,Tue Jan 26 2016 20:34:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18580,/competitions/the-winton-stock-market-challenge,639th
/vykhand,Looking for a team,"Dear all, I am currently stuck at .96838 and have no idea what to do next. I have decent R coding skills and may be a little bit less decent python skills and I have also enough computing power to run things. I would consider to team up with someone who has been on top 10 in some of the kaggle competitions, with experience and better ML/stats knowledge than myself. May be this person does have so much time to code and run stuff but can spare time guiding someone like me and in that way we can complement each other.",0,None,2,Wed Jan 27 2016 00:36:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18582,/competitions/homesite-quote-conversion,109th
/felixthecat,Congrats!!,Congrats to the winners!! Huge shake up! but a few magicians were able to be consistent between Public and Private Leaderboards! Such huge challenge! Looking forward to analysing the solutions!,4,bronze,16,Wed Jan 27 2016 01:09:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18583,/competitions/the-winton-stock-market-challenge,21st
/epinephelus,Solution Sharing,"My model which had relatively consistent performance through leaderboard, CV and public is simple hierarchical bayesian linear regression with student-t noise using only the day returns. Essentially I only predicted Ret +1 and Ret+2; the minute returns are set to zero. The Stan model is this: stan_model = """""" data { int<lower=0> N; vector[N] t; // Ret Plus One / Ret Plus two vector[N] x_1; //Ret Minus Two vector[N] x_2; //Ret Minus + First 120 mins real df; // Degrees of freedom (2.6) } parameters { real w_1_0; real w_1_1; real w_1_2; real<lower=0> alpha; real<lower=0> beta; } transformed parameters { real<lower=0> sigma_w; real<lower=0> sigma_t; sigma_w <- sqrt(alpha); sigma_t <- sqrt(beta); } model { w_1_0 ~ normal(0,sigma_w); w_1_1 ~ normal(0,sigma_w); w_1_2 ~ normal(0,sigma_w); alpha ~ inv_gamma(1E-2, 1E-4); beta ~ inv_gamma(.3, .0001); t ~ student_t(df, w_1_0+w_1_1*x_1+w_1_1*x_2, sigma_t); } """""" copy",18,silver,46,Wed Jan 27 2016 01:25:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18584,/competitions/the-winton-stock-market-challenge,15th
/lllvlll,Trajectory data mining and pattern recognition using ORB-SLAM and KNN-DTW,"I've started working on a project about the trajectory data mining from videos - for example: snowboarding video from GoPro action camera. This is the continuation of my previous experiment (MotionML), which was based on the accelerometer datasets and KNN-DTW classification: [Link]:https://github.com/llvll/motionml Visual odometry and monocular SLAM topics have been researched with the following algorithms: PTAM DTAM LSD-SLAM ORB-SLAM At this stage I've selected ORB-SLAM algorithm for the initial experiments: [Link]:https://github.com/raulmur/ORB_SLAM The implementation will be done in Python using Scikit-Learn and FastDTW for the model training purposes based on the trajectory data. The data mining itself, based on OpenCV and ORB-SLAM, will execute on Apache Spark for video file processing. The following results are expected: Extracted trajectory data. Discovered and classified motion patterns - similar to MotionML project above. Video georeferencing or spatio-temporal referencing - GPS geotagging might be present for frame #1, trajectory data will extrapolate geotagging to the next frames. Clock synchronization should take place. Two questions from my side: DTW for trajectory classification - I'm still doubting about DTW and reviewing HMM (Hidden Markov Models) or LSTM neural nets for the same purpose. Any practical advices are really appreciated. I'm also looking for any examples or advices about SLAM-based feature extraction for machine learning. Ideally for trajectory data mining, but other examples will work as well. If you would like to cooperate or to participate in this project, then please write me directly: [Link]:mailto:oleg.v.puzanov@gmail.com",1,None,1,Wed Jan 27 2016 02:12:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18586,None,None
/drk123,Hoping against hope,"Congrats to the winners. I gotta say, I was hoping that someone had 'cracked' this problem and would get a large improvement away from the zero prediction. Given that the data partitioning really didn't require test submissions, I thought we might see a last minute submission that blew us away when the private results were published. I would love to hear the reasoning from the competition admins for the choice of evaluation function, especially the inclusion of minute-by-minute returns.",0,None,1,Wed Jan 27 2016 02:15:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18587,/competitions/the-winton-stock-market-challenge,570th
/woshialex,about stage two of the competition,"The final code is uploaded before that, if I understand correctly, we are not allowed to make ANY further updates to our code, we can only run our algorithm and then submit the test result? (If we are allowed to make changes, then it will be tricky since I can spot which case my code did not do well on the test data and make slight change to my code to correct it) How many submissions can we make in the second stage on the test data? It seem 1 is enough since the code is fixed.",1,bronze,1,Wed Jan 27 2016 04:09:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18589,/competitions/second-annual-data-science-bowl,1st
/brandao,Working with the real life problem...,"Hi everybody, This is a long post, but some people will like to understand more about algo traders. In this competition, we saw some people that work with stock exchanges but maybe, the majority work with other problems, but they are very good data scientists. In this context, I would like to talk a little bit about the problem related to create algo traders. Unfortunately, I cannot talk about my solution for this competition, but I can try to explain about the real life problem, that is not only related to prediction of a time series. It is so much complex than appears. At first, there are several markets distributed in many regions. You can try, for example, to do statistical arbitrage or riskless arbitrage between them. Some stocks have correlation and you can try to explore it when one of them gets a significant variation. At a first look, it can looks simple. But it does not! However, if you try to understand how a trade occurs, you will see that there is a double auction, with bids and asks orders, maybe thousands for only one stock. In order words, there are people trying to buy and sell shares, at the same time, in different prices. A trade occurs when we get a matching between two orders (bid and ask). Generally, one of them was in a space called Order book. People that did not trade with the market price before, and they chose to wait. In the past, they putted an order with a price worse than the market price. Understand how an order book works is very important to create algo traders. If you try to create a statistical strategy arbitrage, you cannot only consider the last trade price and the oscillation between two or more stocks. You need to evaluate the bid and ask spread in the order book. For this reason, many startups die every month. They tried to trade in spaces with low possibilities. There is another famous strategy. The name is market making. You will help the market to form the price and help to avoid the price oscillation. The general idea is to put two or more order in the both sides of the Order Book. Trying to buy with lower prices and trying to sell with higher prices. You can make money in this spread with the natural volatility in the market. It can be easy sometimes. But… Let’s imagine that the market goes up… You will one sell shares, and accumulate a negative inventory. Inventory means RISK. And your algo trader needs to buy shares in order to avoid risk. But the price is higher than the past prices. And you will lose money. That is very simple. There is no magic. Another big problem is that what you see about the market. When you receive the information, they were sent you before and now the market has another setup (maybe). It can be different in comparison what you see (now). It's like looking at the stars. You are viewing the past. Therefore, you need to invest money to reduce the delay. It can be very very very expensive. Generally it is. Or you can pay for a cheap data feed. It is not a good idea, but depends of your strategy and how much it is sensitive with delays. The microstructure of the market and how your algotrader will react with the changes is so much important as prediction. Of course, you can use prediction as a part of your algo trader. Nowadays, there are several companies making money with simple ideas. Sometimes, there is no intelligent systems. Only good algo traders that were construct with the experience of people. Sometimes they were constructed only with simple math formulas. The area is quite interesting and I recommend that data scientists spend more time in this complex real life problem. Of course, if you can perform a good prediction, you do not need to spend so much time in the algotrader. Manly if we are talking about days of time windows. But is quite difficult. All the best",9,silver,6,Wed Jan 27 2016 05:10:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18591,/competitions/the-winton-stock-market-challenge,2nd
/htrap94,How do I start with Data Science/ Kaggle?,Looking for a mentor to guide me,0,None,6,Wed Jan 27 2016 07:09:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18593,None,None
/mightybird,XGBOOST Tuning question?,"Hi, I was running cross validation to find the number of rounds to use in xgboost. I understood I had to use the number of rounds where in CV the test-auc was a maximum. However, this value is ever increasing no matter what number of rounds I use for CV. Am I doing anything wrong? There must be an optimum because in xgboost with rounds=50 I get a reasonable score when submitting. When using 2000 rounds this dramatically drops! param <- list(""objective"" = ""binary:logistic"", ""eval_metric"" = ""auc"") cv.nround <- 50 cv.nfold <- 3 bst.cv = xgb.cv(param=param, data = cv.matrix, label = cv.y, nfold = cv.nfold, nrounds = cv.nround) nround = 50 bst = xgboost(param=param, data = trainMatrix, label = y, nrounds=nround) copy Thanks Gerhard",1,bronze,2,Wed Jan 27 2016 07:13:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18594,/competitions/homesite-quote-conversion,1008th
/engrstudent,Efficient data,"Why is there not a ""download all as single file""? If I have 8 files to send to the same person, I winzip them together and make a single zip. You might consider that.",2,bronze,3,Wed Jan 27 2016 12:33:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18596,/competitions/telstra-recruiting-network,712th
/remap1,Validation set,"As you advance in the competition, a naively built validation set is probably going to give you large deviations. I published a script that attempts to reproduce how the test/train set are balanced: [Link]:https://www.kaggle.com/remap1/home-depot-product-search-relevance/get-train-validation-indices It was built today so obviously wasn't tested to bits, but I ran it against my latest LB score and it was within 0.00028. It could be coincidence of course. By sharing this, I'd appreciate the feedback of others using this script to see if it's indeed a good indicator. There is probably always going to be some difference due to the 11.5% unseen data in test that you have to deal with.",1,bronze,4,Wed Jan 27 2016 12:39:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18597,/competitions/home-depot-product-search-relevance,11th
/remap1,Get Train Validation Indices,You'd get the records you need like this: df_train = X.iloc[train_ind] df_valid = X.iloc[valid_ind] copy,1,bronze,1,Wed Jan 27 2016 14:23:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18598,None,None
/halfwit,Questions about Hand-labeling,"From the rules: Hand-labeling is allowed on the training dataset only. Hand-labeling is not permitted on test data and will be grounds for disqualification. 1) Does this mean we can also hand-label the images in the ""validate"" folder? 2) Should these methods/information be included when uploading the model? If so, how exactly?",0,None,9,Wed Jan 27 2016 14:52:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18599,/competitions/second-annual-data-science-bowl,45th
/mohamedmosaadnagla,Why Deep Learning ?,I wonder why everyone is talking about using deep learning and most of the resources are tutorials about deep learning?,1,bronze,2,Wed Jan 27 2016 15:10:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18600,/competitions/second-annual-data-science-bowl,None
/icybenko,Meaning of features,"Now that the competition is over, is Winton going to share the meaning of the features, exactly what the returns were, and how the weights were computed?",0,None,16,Wed Jan 27 2016 18:12:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18601,/competitions/the-winton-stock-market-challenge,288th
/alanhamid,Developing Models without Key Features,"Won't it be waste of time to create a model without incorporating key features, such as GENDER? which I did not notice in analyzing the given dataset. How could one improve the business process/model not having key features in the model?",0,None,16,Wed Jan 27 2016 18:20:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18603,/competitions/prudential-life-insurance-assessment,1214th
/ajrwhite,Alternatives to gbms,"It seems to me that the ubiquity of XGBoost and the relative ease of feature engineering is producing a lot of very similar solutions. What are people's thoughts on alternative models which can be added to an ensemble, and which will look sufficiently different from a tree approach to add in the necessary error corrections? Has anyone tried a pointwise ranking system using some form of regression? Any other clever metrics to through into the tree ensemble? I wondered if you could take all bookings excluding NDF, US and ""other"" and run a distance metric on a normalized subset of features, and then include that in the tree ensemble (e.g. how ""far"" is this user from a typical ""GB"" visitor). Anyone else got any cool ideas?",3,bronze,7,Wed Jan 27 2016 19:23:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18604,/competitions/airbnb-recruiting-new-user-bookings,173rd
/anonemaus,when do we hear back from the Kaggle team?,when do we hear back from the Kaggle team about what is going on please? anonemaus,1,bronze,3,Wed Jan 27 2016 21:48:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18605,/competitions/the-winton-stock-market-challenge,5th
/anonemaus,My first Kaggle,"This was my first Kaggle. It started with me getting hold of a second hand Dell laptop with a reasonable processor with 8gb of RAM for a couple of hundred quid, and working on the train into work and home again, doing ad hoc analysis and churning ideas over in my head during December. I then dug out an old desktop out of hiding, swapped in a i7 870, and started with the monster crunch. It was running out of steam, and if I get some wonga out of this competition, I will surely be upgrading the motherboard to take one of the new fangled i7's. I found the public leaderboard to be a bit distracting for me, as I sat way back in the ranks, even though on cross validation (having checked variables were the same in test and train) my performance was very strong. From the get go I identified a way to create some explanatory variables with strong predictive power, and that kind of kept me going. However, on the leaderboard, it didnt look like it was working. As a result of the leaderboard shennanigans, second sets of data, blah blah, I only submitted one day's worth of results. I only really started looking at the competition after the second test set was released. I only started looking at intraday returns forecasting last night, and basically ran out of time. Although its not in the spirit of producing something predictive to game the leaderboard, I actually found it entertaining, and take my hats off to the folks who have done that. The idea that some guys had outwitted the folks setting the competition is surely evidence of the power of the Kaggle community. Creating a binary number to identify items using powers of ten, as someone has suggested, seems eminently feasible. If you give a challenge to a group of smart people, some are going to work out how to break it. I'm proud to have been a part of this. To quote Dumbledore ""it does not do to dwell on dreams and forget to live"". Dont get hung up on forecasting returns folks. There are other things out there we can solve like genomics and all that jazz. Thanks to all for competing with me. Without you, there would be no competition. It was glorious this morning, I was jumping up and down when I looked at the leaderboard and had risen 680 places. I took a colleague for lunch and sank a Dorset cider on the back of it. I take my hat off to Kaggle for providing us an environment, something like Fight Club for geeks. The idea is genius. Many thanks to the R core team, and the R community…long live the free software (R)evolution, and to departments where I studied. Thanks to my colleague for encouraging me to have a stab at this. See you all in the next competition I hope. anonemaus",4,bronze,3,Wed Jan 27 2016 22:09:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18606,/competitions/the-winton-stock-market-challenge,5th
/anonemaus,selection of submission,"Further to my post about jumping 680, I am concerned that my best submission has not been used. I didnt seriously think anything was coming of this, and was just mucking about. For future reference in these competitions, how do I select the submission? Does Kaggle pick our best, automatically on the performance on the private leaderboard? My latest submission was the most involved (specifically aimed at dealing with kurtosis).",0,None,3,Wed Jan 27 2016 23:25:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18608,/competitions/the-winton-stock-market-challenge,5th
/jhonasttan,GOP Debate Analysis with Pandas,"For the pie chart code section, I don't believe this snippet of code is working. I don't see any data output in the associated chart. Can someone verify? fig = plt.figure() ax = fig.gca()",0,None,1,Wed Jan 27 2016 23:41:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18609,None,None
/benhamner,testing,One interesting thing to do would be to go into more depth on the free-form response questions,0,None,5,Thu Jan 28 2016 00:14:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18610,None,None
/benhamner,clustering papers based on word2vec,"Try using plt.savefig(""figName.png"") to save the results instead of plt.show on line 136",-1,None,3,Thu Jan 28 2016 00:42:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18612,None,None
/vanmape,BAH-NVIDIA Team Blog Post #1,We're happy to share a few of the explorations into image pre-processing that we've implemented prior to our Deep Learning based solution. You can check out our post at the link below. And there will be much more to come as we get further into the competition! [Link]:http://www.datasciencebowl.com/image-preprocessing-the-challenges-and-approach/,3,bronze,8,Thu Jan 28 2016 01:38:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18614,/competitions/second-annual-data-science-bowl,71st
/derrickzy,why NDCG evaluation ?,"Hi, I haven't find any oridinal relation in training data? that is a multi-calssification problem, but evaluation is NDCG(it's a oridinal problem evaluation) and no sense to optimize it directly because user has no prefered city list in training data. Do u agree ?",2,bronze,6,Thu Jan 28 2016 04:09:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18616,/competitions/airbnb-recruiting-new-user-bookings,None
/andrewczeizler,Top Solutions - Tutorials.,"Given the high profile and great attention this competition has caused, I was wondering if some of the top contestants would be able to provide some of the cutting edge solutions in a tutorial format. This would be an extremely valuable educational document for other aspiring data scientists to learn from and follow. Many thanks all for your consideration. Best, Andrew",10,bronze,1,Thu Jan 28 2016 13:22:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18620,/competitions/the-winton-stock-market-challenge,None
/myloginid,Huge Variation between LB and Train AUC,"Hi, Using a fairly complicated model with 10 fold CV, (no holdout), We are able to create a model with a AUC of 0.96. Still on the LB the same scores only .86 or lower at times. Has any one else faced the same. From what i understand LB has 20-30% of the test data for public scoring (hopefully randomly selected each time). This seems to be very odd. Thanks, Manish",0,None,9,Thu Jan 28 2016 14:58:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18621,/competitions/homesite-quote-conversion,958th
/alanhamid,Million Dollar Idea from the competion,"I became more interested in the features that we were using to develop the a better model for Prudential, and started a forum called ""Developing Models without Key Features"" That lead to a discussion about incorporating Gender identity Feature in the model for future use; by the way, in these modern days are Gender is not just male or female. Which lead to a marketing idea for Prudential to be a Trail Blazer and offer and Target more than 10 Million Transgenders in the US and Canada. And become a Modern Social Enterprise first of its kind.",-11,None,1,Thu Jan 28 2016 16:34:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18622,/competitions/prudential-life-insurance-assessment,1214th
/josette,NVIDIA Offers Free Access to Their Hands-on Labs,"We’ve seen a lot of conversation around using AWS resources for deep learning models on the forums over the past couple of weeks. We know that some custom tutorials are being created. In the meantime, our friends at NVIDIA have offered to provide free access to their training along with the AWS resources needed to work through their Hands-on Lab. For access to the hands-on labs for free, you’ll need to register, using the promo code KAGGLE, at: [Link]:https://developer.nvidia.com/qwiklabs-signup",8,silver,6,Thu Jan 28 2016 17:17:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18623,/competitions/second-annual-data-science-bowl,None
/evanwang1028,xgboost in R: how does xgb.cv pass the optimal parameters into xgb.train,"Hello Data Masters, I'm new to Kaggle and have been trying to learn from people's script. I've been exploring the xgboost package in R and went through several demos as well as tutorials but this still confuses me: For the following code, after using xgb.cv to do cross validation, how does the optimal parameters get passed to xgb.train? Or should I calculate the ideal parameters (such as nround, max.depth) based on the output of xgb.cv? Great thanks!!! param <- list(""objective"" = ""multi:softprob"", ""eval_metric"" = ""mlogloss"", ""num_class"" = 12) cv.nround <- 11 cv.nfold <- 5 mdcv <-xgb.cv(data=dtrain,params = param,nthread=6,nfold = cv.nfold,nrounds = cv.nround,verbose = T) md <-xgb.train(data=dtrain,params = param,nround = 80,watchlist = list(train=dtrain,test=dtest),nthread=6) copy",2,bronze,6,Thu Jan 28 2016 17:45:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18624,/competitions/airbnb-recruiting-new-user-bookings,174th
/freeman89,Score on the New Private Set?,"Would it be possible for Winton to show us a ""Leaderboard"" that is based entirely on the new private test data? It would be very interesting to see if someone beated the Zero Benchmark there and by how much…",0,None,1,Thu Jan 28 2016 18:31:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18625,/competitions/the-winton-stock-market-challenge,366th
/aguschin,Recruting,"Hi everyone! I'm curious, who was contacted this time? Surprisingly, I wasn't :) This makes me wonder, what are the criteria?",6,bronze,4,Thu Jan 28 2016 19:46:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18626,/competitions/walmart-recruiting-trip-type-classification,1st
/annecocquyt,Award Event in San Francisco,"Dear kaggle Masters, It is a pleasure to announce that Genentech will host an award event on April 4th - we will invite the winners of this competition to San Francisco to a dinner event to award Place 1-4 and the Insight Award. We will celebrate your achievement and our commitment to fighting cervical cancer. If you win but cannot attend we will make sure you receive your trophy. At the event we will also award the prize to the best startup from the startup competition “ [Link]:http://thequestaward.com”. Your insights will inform the judging panel to determine the startup winner. Thank you for spending your time to solve a challenge that has not been solved before and which will have a positive impact on women’s health. We can't wait to see all submissions for the Insight Award! Jill & Anne",1,bronze,10,Thu Jan 28 2016 21:00:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18627,/competitions/cervical-cancer-screening,None
/annavictoria,Playing around: Meat vs Vegan,"Interesting analysis! I'm vegan and my experience traveling in Quebec definitely supports the data on this one… Also, it looks like I need to get to Spain! :) I'd love to know if Spain is just more likely to label already vegan foods (like a can of green beans) as vegan, or if they really have more products engineered for vegan (like faux meats, etc.)",1,bronze,3,Thu Jan 28 2016 21:41:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18628,None,None
/sontung1404,range of labels,"Hello, I notice the possible values of labels in the training set are [6 8 3 1 0 4]. Does the same thing apply to the labels in the test set? Thanks in advance!",0,None,1,Thu Jan 28 2016 21:54:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18629,/competitions/copper-analysis,24th
/singh2299,Value of variable response,"Hi Prudential Team This is regarding the data provided. There are only 7 products, but response has 8 also as entries. Ideally should'nt it be 1-7 ?",1,bronze,6,Thu Jan 28 2016 22:08:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18630,/competitions/prudential-life-insurance-assessment,None
/wendykan,"Results are final, and call for student prize","First, I'd like to thank each and every one of you for your participation. The results on the leaderboard are final. If you think you qualify for the [Link]:https://www.kaggle.com/c/the-winton-stock-market-challenge/details/prizes, we want to hear from you! Please send an email to [Link]:mailto:competitions.admin@kaggle.com with your team name, school(s), and final rank. A student must be actively enrolled in at least one course in an undergraduate or graduate program, for the 2015-2016 academic year. We may ask you for proof of enrollment.",6,bronze,8,Thu Jan 28 2016 23:26:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18631,/competitions/the-winton-stock-market-challenge,None
/theurandon,People interactions,See [Link]:http://nbviewer.jupyter.org/urls/inclass.kaggle.com/blobs/download/forum-message-attachment-files/3599/visualization-hillary.ipynb for interactive graph.,0,None,2,Thu Jan 28 2016 23:33:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18632,None,None
/renescheibe,Image Preprocessing - Segmentation,The mxnet and keras tutorials simply crop the image to 64x64. There is no special centering of the heart. So I wanted to ask if people ranking high on the leaderboard are preprocessing the images (and if how) to center the heart so training a network gets easier? Any thoughts or findings on [Link]:https://github.com/Lasagne/Recipes/blob/master/examples/spatial_transformer_network.ipynb?,1,bronze,1,Thu Jan 28 2016 23:38:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18633,/competitions/second-annual-data-science-bowl,None
/carissas,Have your work featured by AI2 at AAAI 2016!,"Hi everyone, We’d like to start gathering some information from the Allen AI Science Challenge participants about their models! AI2’s CEO Oren Etzioni will be giving a presentation about the Allen AI Science Challenge at the AAAI Conference in Phoenix on February 14th, 2016. We want to be able to discuss some of the unique approaches used by participants in this challenge during this presentation. This presentation will occur after the final submission deadline, so any information you share with us will not be made public until that time. Of course you are welcome to post publicly about your methods any time, but we will respect the wishes of those that would like to keep discussion of their techniques private until after the competition closes. If you would be willing to share some information with us: please post it here, or contact me through my Kaggle profile or my Allen AI email address (carissas@allenai.org). Please include your Kaggle username and your team name! We are interested in learning about the following things: What’s the core method behind your approach? (e.g. information retrieval, neural networks, ensemble methods, etc.) What was your training approach? Was it supervised or unsupervised? Which data resources did you use? What boosted your score the most? What’s the most unique/novel aspect of your approach? How did you you utilize background knowledge/reasoning? What would you do if you had another 12 months to work on this challenge? Would you be interested in further collaboration with AI2? This information will be very important for us to have from our winning teams as well, so please get in touch, especially if you are a top contender! There are various media outlets interested in this competition, and we would love to be able to share interesting details about the various models submitted as soon as the competition is over.",1,None,5,Fri Jan 29 2016 01:18:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18634,/competitions/the-allen-ai-science-challenge,None
/crique,Simple question about percent agreement in this competition,"Hi, Using xgboost etc…, I have a model that scores a QWK of 0.653 on my test sample. When I calculate the percent agreement I get 0.369. Isn't that low ? My QWK score isn't that far from the top LB scores so won't the model that wins this competition be commercially not useful (I mean it wont fulfill the objective presented in the description)? I'm doing this to learn so obviously I'm missing something, but to me it seems that if only 37% of your predictions are correct, if you use your model to automate/streamline the process Prudential wants to automate, the risk assessment you get(or whatever the 8 responses actually mean) will be inaccurate 63% of the time, which seems like a big no-no in life insurance. I get that a high QWK means you are not that far off but still i'm wondering. (I guess i fail to grasp what a QWK of 0.7 really means) Hope I was clear enough, Thanks for reading!",1,bronze,5,Fri Jan 29 2016 01:53:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18636,/competitions/prudential-life-insurance-assessment,832nd
/remap1,Very large diff between local / remote kaggle execution,"I did a couple of Kaggle competitions so far and I'm noticing something strange. In the Rossman competition I took the same code that someone used for a great submission and when I ran that on my local machine, I couldn't get close to it. I'm now hitting the same limit I believe. I decided to put things to the test. I downloaded the script verbatim (ctrl+c, ctrl+v) from this competition: 115 new Vincent.Y 0.67306 5 Thu, 28 Jan 2016 04:13:40 (-1h) copy I ran this locally on both python2.7 and python3.4. The output is below. Local run with python2.7/python3.4, Ubuntu 15.04, Asus P6T-SE motherboard, 24GB memory (crucial), i7 920 cpu. gt@amsterdam:/data/kaggle/prudential/scripts$ python test.py Load the data using pandas Eliminate missing values [('colsample_bytree', 0.67), ('silent', 1), ('min_child_weight', 240), ('subsample', 0.9), ('eta', 0.05), ('objective', 'reg:linear'), ('max_depth', 6)] ('Train score is:', 0.6577920731639073) Optimization terminated successfully. Current function value: -0.707227 Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.707227 Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.707227 Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.707720 Iterations: 2 Function evaluations: 94 Optimization terminated successfully. Current function value: -0.708007 Iterations: 2 Function evaluations: 51 Optimization terminated successfully. Current function value: -0.708284 Iterations: 2 Function evaluations: 92 Optimization terminated successfully. Current function value: -0.708878 Iterations: 2 Function evaluations: 47 Optimization terminated successfully. Current function value: -0.708878 Iterations: 1 Function evaluations: 13 gt@amsterdam:/data/kaggle/prudential/scripts$ python3.4 test.py Load the data using pandas Eliminate missing values [('max_depth', 6), ('eta', 0.05), ('colsample_bytree', 0.67), ('silent', 1), ('subsample', 0.9), ('objective', 'reg:linear'), ('min_child_weight', 240)] Train score is: 0.6577920731639073 Optimization terminated successfully. Current function value: -0.707227 Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.707227 Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.707227 Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.707720 Iterations: 2 Function evaluations: 94 Optimization terminated successfully. Current function value: -0.708007 Iterations: 2 Function evaluations: 51 Optimization terminated successfully. Current function value: -0.708284 Iterations: 2 Function evaluations: 92 Optimization terminated successfully. Current function value: -0.708878 Iterations: 2 Function evaluations: 47 Optimization terminated successfully. Current function value: -0.708878 Iterations: 1 Function evaluations: 13 copy The LB result: 0.66728 Then immediately after, I forked the same script immediately after and ran this on the Kaggle server remotely: Load the data using pandas Eliminate missing values [('objective', 'reg:linear'), ('eta', 0.05), ('silent', 1), ('subsample', 0.9), ('colsample_bytree', 0.67), ('min_child_weight', 240), ('max_depth', 6)] Train score is: 0.658112455567883 <---- Optimization terminated successfully. Current function value: -0.708286 <---- Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.708286 <---- Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.708286 <---- Iterations: 1 Function evaluations: 14 Optimization terminated successfully. Current function value: -0.708558 <---- Iterations: 2 Function evaluations: 34 Optimization terminated successfully. Current function value: -0.708675 <---- Iterations: 2 Function evaluations: 50 Optimization terminated successfully. Current function value: -0.708930 <---- Iterations: 2 Function evaluations: 44 Optimization terminated successfully. Current function value: -0.709417 <---- Iterations: 2 Function evaluations: 53 Optimization terminated successfully. Current function value: -0.709417 <---- Iterations: 1 Function evaluations: 13 copy LB result: 0.67306 . Thus spot on with script LB results. I recloned xgboost from github, cleared out the python package in /usr/share/lib, recompiled and reinstalled, yet keep getting the same output. I can deal with 0.0001 difference or what, but this is 0.66728 vs. 0.67306 with verbatim code between the code. what's different are the libraries, platform, etc. I cloned xgboost from github today Anyone noticed this before? What can i check? hardware issue? Obscure compiler bug?",1,bronze,20,Fri Jan 29 2016 01:57:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18637,/competitions/prudential-life-insurance-assessment,529th
/dankolbman,Redistributing Predictions,"So from the description this is clearly a regression task, however, a quick glance at the data shows that the counting statistics is quite low. This results in a very small set of possible relevence values (13 in the train, to be exact) and the even smaller set of non negligible values (7 to be exact, see attached). Of course, fitting the continuous models into these discrete predictions will reduce the RMSE, if done right. I'm wondering what the standard procedure is on this is. I've taken some inspiration from prudential competition and tried optimizing bin cuttoffs. I also tried using windows instead and optimizing those (see attachment). These give some increase in RMSE against the train set, but there's still obvious problems in the distribution. Has anyone tried implementing something to try and take advantage of this yet? Any ideas? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/106198/3601/distributions.png",1,bronze,5,Fri Jan 29 2016 02:45:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18638,/competitions/home-depot-product-search-relevance,101st
/srimalj,Computation of the leaderboard score,Hi Would anyone know how the leader board score is computed? If it is a standard measure then what is it or what is the formula used? Thanks.,0,None,1,Fri Jan 29 2016 05:14:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18640,/competitions/telstra-recruiting-network,472nd
/waspan,Dictionary,"Firstly, thanks for this great starting point, which I've found during some research. Does anyone has an idea how do use the Word2vec for creating a domain-specific/content-based dictionary? A dictionary for text analysis?",0,None,1,Fri Jan 29 2016 10:31:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18641,/competitions/word2vec-nlp-tutorial,None
/zhaoww,How to use Sunnybrook data?,"Hi, I downloaded DICOM images and manual contours from this page [Link]:http://www.cardiacatlas.org/studies/sunnybrook-cardiac-data/. For DICOM images, each patient has a folder which contains about 100 sub-folders named like this ""1.32_29sSOG9riFiQfXpHFLC6Zj453OlBWiLWSxWS5LSwJbcf7neGtrQ_iHpfyZ7_KVjcy_-x_-y_64_64_8"", and the DICOM images are in these sub-folders. For manual contours, each patient has about 30~40 text files which have contour coordinates in them, and their file names are like this ""IM-0001-0047-icontour-manual.txt"". Does anyone know the relation between them? Which contour is for which DICOM files? What does 0001 and 0047 mean in the file name? Did I miss something? Is there a guide for Sunnybrook data? Thanks!",0,None,7,Fri Jan 29 2016 11:59:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18642,/competitions/second-annual-data-science-bowl,None
/paulperry,testing sqlite,"[Link]:https://www.kaggle.com/Ben, can you say a bit more about how to use scripts? The DB appears empty. Can you provide a basic example? How do I share scripts? I came to this place only after I converted it to a notebook. Is that how I share? Thx",0,None,3,Fri Jan 29 2016 16:10:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18644,None,None
/jwjanderson,"Congratulations, Thoughts on the Problem","Hi all. Thanks for all your efforts competing in what was a hard data challenge, we hope you found the time you spent on the problem interesting. We’re currently waiting for and looking at code to verify the top solutions, but in the meantime for your interest we thought we would say a little about the problem preparation and some remarks on approaches to solutions. But first we would like to congratulate those who finished in the prize money. We’re excited to see what the best solutions are as the write-ups and code comes in. For some of the top solutions we have a good idea of their approach; no doubt these methods will be revealed in time. In any case it is a notable achievement to have beaten out all the others, and all the hard work should be lauded. In explaining what successful modelling strategies might have looked like, it is interesting to start by noting that a number of people remarked that cross-validation “didn’t work”. It’s not obvious, but it does work, just not in a classical manner. Feature_7 is the key, as it is a date identifier. Stocks tend to be correlated on the same day, and so the classical approach to cross-validation would have simply allowed your machine learning method to learn patterns of exactly what happened on certain days. These would not generalise well to other days, hence many commenting of good scores in the training set which do poorly on the public leaderboard. By splitting up or re-sampling the training set by days you would have ended up with useful cross-validation sets. It is slightly tricky to find this given the features were not identified, but for this date feature there are a number of clues. Firstly, it is one of only two features with no missing values. Secondly, if you run the data through some out-of-the-box machine learning method on the training set, it will likely come up as the most important feature by far. Thirdly, the feature is a categorical variable with different categories in training and test sets. It is then reasonable to infer that this is a ""group"" identifier and that the training and test samples may have been obtained by sampling those groups, instead of single cases. Indeed, somebody found this last clue and posted it on the forum, but unfortunately their conclusion was to throw it out as a feature. Finding the day feature would have notably helped you in your prediction, but there was plenty to find without that. For obvious reasons we don’t want to say exactly what we think is there, but a few insights were needed to do useful things with the data. It is easy to see that trying to predict each one-minute return is very hard, and some approach to binning or trying to predict overall features is required. Watching the forums through the competition suggested a few people had issues with this. With generalisation very difficult, most things you could add to deal with outliers and make things more robust would end up helping. Being able to predict temporal and cross-sectional volatility, which are both easier to predict than actual returns, would also give you a clue as to where the big returns might be, which is where the largest reward is in terms of score improvement. With respect to the other features, we won’t say exactly what they were, but they are a mix of fundamental and technical financial measures, past performance, and a few irrelevant features. We kept them anonymised because we didn’t want anyone with a financial background to have an a priori advantage, and “know” what to do with them. Even still, we expect that only a few would have been of help and only very slightly; Feature_5, the other feature with no missing data, would have been a good one to look at. A few quick answers to other questions that have come up. Firstly, the data is real financial data, obviously transformed carefully and slightly noised, but for confidentiality we can't say any more about where or when it is from. The weights were, among other things, meant to give some appreciation of trading costs in a very simple way. Similarly, the WMAE evaluation metric was not intended to be perfect, but since the modelling part of the challenge is so hard, we wanted to make the rest of the framework conceptually as easy as possible. In the same theme, the returns were simple logarithmic returns. A number of people have asked what our own score on the competition is, but we don’t think it is useful to give a precise number. Although we did work on it considerably when preparing the problem, it hasn’t had the attention we would give a usual research problem, so we wouldn’t want to call our score our “best” effort. We also knew how the problem was constructed, what the data sources were, and have years of collective experience with these types of problems, so it might be hard to convince you all our score is fair as a benchmark (or, indeed, at all). Looking at the community’s scores, it looks like the top scorers have made some progress, but we still think there is some mileage that can be gotten from the data. As we said in the problem description, we hope this problem should give a good flavour of the kind of signal-to-noise and overfitting issues we deal with on a consistent basis. We typically work in a relatively standard back-testing framework, but currently it is not really possible to put this kind of problem up on Kaggle, as the training and test set are essentially the same. Data work is also a big part of what we do at Winton. In the end we thought the contest was difficult enough without asking you to comb through unclean data and find all the errors, so there were not too many data quality issues, but training your model on bad data will likely mean bad predictions. It’s teasing that little bit of signal out from all of the noise, as well as trying to determine if you believe what you have found, that makes the problem interesting and compelling to work on.",7,silver,4,Fri Jan 29 2016 16:54:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18645,/competitions/the-winton-stock-market-challenge,None
/gandavarapu,Impact of President Names on Baby Names,,0,None,6,Fri Jan 29 2016 17:42:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18646,None,None
/hanshupe,Use DTW-approach for correlation coefficients,"Dynamic time warping is a popular similarity metric which I use to find correlations between time series that have different length or are time shifted. As it is a similarity metric, it doesn't show negative correlations without transforming the data first and it doesn't show me monoton correlations calculated with Spearman's rho for example or other non-linear relationships. Are there any approaches that try to use the DTW concept for correlation metric? At the end I would like to find out if two time series are correlated somehow if I would shift and warp them. How is that problem solved usually in the feature selection process in machine learning, when there are good features in time series, but with different times and speed? Thanks for any information!",0,None,1,Fri Jan 29 2016 18:34:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18647,None,None
/aewhatley,Dropping uncorrelated features produces worse results,"In a couple of Kaggle contests, I dropped some features with very high p-scores, which indicates that they have little or no correlation with the predicted values. However, doing so caused my score to get worse in some cases. Is there an explanation for this phenomenon?",1,bronze,4,Fri Jan 29 2016 18:45:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18648,None,None
/mcdermz,Airbnb Exploratory Analysis,"Sorry if this is obvious, what's with the huge drop in ""Date First Bookings"" in mid-2014?",0,None,4,Fri Jan 29 2016 20:12:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18649,None,None
/jeffmoser,The First Voyage of James Cook - 3D,Nice use of 3D!,3,bronze,1,Fri Jan 29 2016 20:23:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18650,None,None
/jturkewitz,Remove Titanic Competition From Results Page,Is there any way to remove the titanic competition from my results page (or move it to completed competitions or something)? It seems like that competition is never going to end and it clutters the space.,7,bronze,2,Sat Jan 30 2016 00:07:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18651,None,None
/randombishop,Visualize users as a force directed graph,"k-NN algorithm didn't produce strong models for me, but it yields some funny visualizations : [Link]:http://randombishop.github.io/aerograph-front/ Play with gravity and charge, move the users for a nice layout, then hover over the clusters for an overview of their content. You can also change the legend to see the clustering effect. Please share back any insights if you find them with this :) Cheers !",9,silver,3,Sat Jan 30 2016 08:08:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18652,/competitions/airbnb-recruiting-new-user-bookings,54th
/nitini,Corrupted characters in product_title?,"I'm trying to do some lemmatizing / stemming of the product titles, and I keep hitting an error for 'ascii' codec can't decode byte 0xef in position 18: ordinal not in range(128)' when working with certain product_title strings. I've tried the various options of .encode('utf-8') or .encode('ascii') and nothing seems to work. I'm using Python. Here is an example product_title that is causing the issue: 'Defiant Indoor 120��� Motion Sensing Socket' 'Defiant Indoor 120\xef\xbf\xbd\xef\xbf\xbd\xef\xbf\xbd Motion Sensing Socket'",0,None,4,Sat Jan 30 2016 09:42:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18654,/competitions/home-depot-product-search-relevance,207th
/agendreau,Intuition behind classification probabilities <0 or >1,"Hi, Occasionally (and I might be doing something wrong) classification methods give me prediction probabilities that are less than 0 or greater than 1. These include but are not limited to random forest models, xgboost, etc. My questions are: Why does this happen? What am I doing wrong, if anything? How does Kaggle treat these predictions in competitions that use AUC as an eval metric? Empirically (with my n = 1), it appears that scoring these predictions as-is produces the same result as scoring a normalized set of predictions. And both are better than scoring predictions where I've manually set values < 0 to 0 and > 1 to 1. What's the rationale behind that? I'm guessing it ties into question 3. Thanks! AG",1,bronze,1,Sat Jan 30 2016 17:47:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18656,None,None
/albarazanchi,Leader Board,I am using XGBoost python sklearn like interface. I am using 10000 sample for validation and getting 0.959463. But in on the leader board my score is 0.96633. Anybody has a clue why this happening because usually we get high auc on our validation set and low on the leader board.,0,None,1,Sat Jan 30 2016 23:37:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18658,/competitions/homesite-quote-conversion,756th
/riccardonizzolo,team up,There is somebody interested in teaming up?,1,bronze,2,Sun Jan 31 2016 12:53:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18667,/competitions/homesite-quote-conversion,53rd
/wojciechmigda,Creativity or simply coincidence?,"Anyone's for a quick $100? [Link]:https://www.upwork.com/jobs/_~0190f793f13ec69b25/ (backup URL [Link]:http://web.archive.org/web/20160201135445/https://www.upwork.com/job/Quick-optimization-predictive-model_~0190f793f13ec69b25/) We have built a model that predicts ""score"" based on 120 variables using a data set of 60,000 customers. The current model gives a weighted kappa of 0.65, and we need to bring it up to 0.72. We need your quick help to optimize the Python algorithm that we built. If you are interested, message me and we will send over the code and the data set we are working on.",2,bronze,1,Mon Feb 01 2016 14:50:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18683,/competitions/prudential-life-insurance-assessment,371st
/adjgiulio,Winning Solution and insights,"Thanks Kaggle and Genentech for the fun competition and the challenging data. Despite some problems with the data (see below) this has been a really exciting competition for me. Unlike the typical Kaggle competition, this was fundamentally a feature engineering competition and I was really eager to see where I stood among top Kagglers in one of the most important portions of the ML pipeline. Dear Kaggle, wouldn't be nice to think about a new subset of Kaggle competition that are not only focused on feature engineering, but go to the extent of allowing submissions with only one model (maybe a given choice, like XGB - could even be embedded in the scoring process). Anyways, wild hopes aside here's a little bit about my team's approach. Michael and I dividend and conquered throughout the competition. I focused on feature engineering, Michael did all the modelling. This worked perfectly because I wanted to do as little modelling (and especially ensembling) as possible (I just came to hate that part of Kaggle and that's why I retired from competitive machine learning last summer) and Michael had some of the best modelling skills I have seen on Kaggle. I'll let Michael describe his approach, essentially a blend of custom coded neural networks and XGB. I used throughout the competition the same simple XGB to measure performance improvement. From a feature engineering perspective my mindset was very simple: FIND THE LEAKS The single most important piece of data was actually not in the dataset. Was what Wendy said very early in the competition: ""We filtered out some records that are too relevant, records that is direct evidence that the person is a cervical cancer screener or not."" Now, I do not argue the skills of those preparing the dataset, but it's really hard to remove records from a relational database without leaving bread crumbs behind you. So, I set myself to look for those crumbs while I was modelling other things I knew had predictive power. The two major sources of leakage I found were: -absence of a claim line: claims are submitted with several lines, each reporting a specific procedure. If you remove a record the claim will show an incomplete sequence of lines (i.e. 1,2,3,5,6). In general this alone did not have predictive power, probably because of how the 0 portion of the dataset was sampled, maybe Genentech intentionally removed random records from the 0 population, maybe they removed sensitive records (like HIV). I can only guess. But the absence of claim lines in conjunction with the presence on the same claim of certain diagnoses and/or procedures turned out to be a strong predictor. -absence of a claim_id in the procedure table when the same claim_id was present in the diagnosis table, and vice versa. Each claim has got to have procedures and diagnoses. That's just how claims are billed and there is no way out of that. So the absence of one portion was a strong indicator of a record being removed. It actually turned out that the presence of a handful of diagnosis (obgyn visit type of diagnosis) was .999 correlated with the target when no procedure code existed for the same claim, and that accounted for over one third of the population. Michael and I figured out this last Friday and that alone sky-rocketed our (at that time) single best model from .952 to .9628 (which I think also explained Medrr jump from .94 to .95 a few weeks back). This feature alone I estimate can give you a .84 ROC. Other than those two, I modelled all the relationships that made sense from a industry perspective: 1) diagnosis strongly associated to the target 2) procedures strongly associated to the target 3) physicians strongly associated to the target (the idea being, if you go to a provider that always administers the screening you are more likely to get the screening) 4) surgeries and drugs brought relatively low predictive power. This was interesting. I expected surgery not to bring much power because pap smears are quick test performend in the provider office. But I had expected drugs to bring a lot of predictive power because US guideline suggest that no oral contraceptive prescription should be written without a pap smear being performed first. 5) combinations of diagnoses and procedures on the same claim, which has more predictive power that the same two diagnosis and procedure found on different claims. This type of same-claim-interaction would not be captured if you only modelled OHEncoding of diagnoses and procedures independently. 6) procedure and diagnosis by claim type and place of service (the intuition being that it is more likely for the same diagnosis/procedure to be associated to a screening when the place of service is a provider office than (say) a hospital). 7) procedures and diagnosis by provider specialty (the intuition being that certain diagnosis are more likely to be correlated to a screening if they are performed by (say) an OBGYN than by (say) a Family Physician or a Cardiologist). I used both OHE features (which in general I limited to >50 support and >.7 avg(is_screneer)) as well as features based on the target distribution (i.e. count of times a member had a procedure or diagnosis with avg(is_screener)>.9). My final best single model had 400 dense features (and I bet there would have been no loss of predictive power with 200 or less) and a total of <100k features. It scored .9648 in validation and .9628 on the lb. Aside from the leaks, the key part of my work was error analysis. I knew that I could have done a decent job a guessing screeners if I reviewed their entire claims history. So I used cross validation to generate predictions on the train set, reviewed a couple of those patients with the largest errors and tried to figure out what I was missing. I ended up focusing on false negatives. For me it was far easier to spot patterns in people that were supposed to be classified as screeners and weren't than finding ways to correctly classify patients who showed an overwhelming propension to be screeners but actually weren't (those might have been people ""scared of taking the test"", ""opposed to the test on principle"",…the type of things you cannot really model with the data at hand). The competition was a roller-coaster ride. There was no day when I didn't think ""we have a top 4 in the bag"" and, a few hours later, ""there is no way we'll ever do a top 4"". The last 10 days progress has also been outstanding. I remember chatting with Michael about this a couple of weeks from the end, and at that time we both agreed that ""a high .94, low .95"" was going to be enough to take a top-4. Boy, were we wrong! Wanted to congratulate Dmitry, Kohei, Gilberto and Lucas, n_m, and sad faces team, you guys were all amazing. Huge congratulations to all on a hard fought competition! And please Lucas, keep kicking that f*** cancer in the nuts!",22,gold,14,Tue Feb 02 2016 01:08:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18691,/competitions/cervical-cancer-screening,1st
/masterliu,How do you predict 5 countries using sklearn?,"As this seems to be a multi label classification problem, i know using only one ensemble method won't work, after i checked the documentation, i find OneVsRestClassifier may be a good solution for this multi label problem, just want to confirm if that's a correct solution? i'm new to sklearn.",1,bronze,1,Tue Feb 02 2016 09:12:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18697,/competitions/airbnb-recruiting-new-user-bookings,326th
/mariopasquato,Linear model 0.65 in lb,A simple linear regression achieves > 0.65 on the public leaderboard with 10s runtime.,5,silver,18,Tue Feb 02 2016 10:19:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18698,None,None
/davutpolat,[Deleted Kernel],"This code highly overfits, i recommend you to run a CV on it ;) , min_child_weight parameter is too high",0,None,3,Tue Feb 02 2016 12:39:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18699,None,None
/mchahhou,Left ventricle segmentation,"Some images are hard to segment. Since I'm not an expert, can someone explain where is the LV in those images (mainly the images 1 to 5) and how an expert would segment them. Thanks [Link]:http://LV.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/106599/3611/LV.png",0,None,4,Tue Feb 02 2016 12:40:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18700,/competitions/second-annual-data-science-bowl,None
/bguberfain,Bogus Date?,Did anybody noticed that only 0.0834% of the train users did theirs first activity ('timestamp_first_active') in a different day than the account creation ('date_account_created')? Is is correct?,2,bronze,2,Tue Feb 02 2016 18:17:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18703,None,None
/opraveen,Mapping Boosting model to a neural network,"Off-topic: Since a neural network can theoretically model any function, I have been wondering if it is possible to map (i.e., convert) a given xgboost model to a neural network. Not sure how difficult a problem this is, I am looking for pointers/references to understand this.",0,None,3,Tue Feb 02 2016 18:18:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18704,/competitions/prudential-life-insurance-assessment,853rd
/tacite,OpenFoodFacts : exploring the dataset,"Very interesting, good work! Too bad so many manufacturers decided not to mention the amount of fibers in their product.",1,bronze,1,Tue Feb 02 2016 19:52:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18705,None,None
/jkarimi91,Encoding Issues,"Does this dataset consist of several different types of character encodings? I have had several encoding errors thrown at me and I am wondering if this is a result of inconsistent encoding through the dataset or if I have made an error somewhere. I have tried both utf-8 and latin-1 but I still end up with encoding errors, in different points of my data preprocessing pipeline",1,None,11,Tue Feb 02 2016 22:42:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18707,/competitions/home-depot-product-search-relevance,1030th
/tralpha,Anybody willing to help Ensembling?,"I got a bunch of features for every ques+ans pair. About 50 - 100 of them (currently implementing some more) Each feature individually scores ~0.40 - 0.47 (might be better, didn't try submitting every feature) on the public lb, when considering max or min of 4 answers, as answer for each ques. I'm trying to ensemble them, but since I don't have any experience in ensembling, I can't have a good score on my training set alone based on the ensemble of these features (used sklearn NN, got a maximum of 0.424 only, which is weird cuz most features beat this acc score.) And I'm running out of time lol. Is anybody willing to team up and help ensemble these tgt? Experience in ensembling is highly beneficial, and I believe can score high on lb. I'm willing to join any top teams as well, in case they want one more person on board. Some of these features include: Lucene Query with 70 % ques+ans top tf-idf terms. Scores for each ques+ans query are taking as features. Count of the number of occurrence of every unigram and bigram in the answer. Count at [5,10,15,20,25,30,35] documents retrieved, and average them. Used two different corpora Word Distance Benchmark from [Link]:http://arxiv.org/abs/1506.03340, Google DeepMind. Again, count distances at [5,10,15,20,25,30,35], average them or use a special algorithm to identify the answer. Count of Dependency Relations in the ques+ans query occurring in the corpora. Count at [5,10,15,20,25,30,35], average the counts. Use two corpora. Count of Predicate Argument Relations in the ques+ans query occuring in the corpora. Count at [5,10,15,20,25,30,35], average the counts. Use two corpora. Also tried some LSTM Attention Models, but it takes too long to train, and I need to distribute the model for GPU on AWS, something I don't have time for since the competition is almost ending. In case someone has experience in doing this, and wants to help, pm me (using Theano and Tensorflow for DL) Please feel free to use these features in your implementations as well. Hope it helps. Ralph",0,None,1,Wed Feb 03 2016 09:16:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18711,/competitions/the-allen-ai-science-challenge,36th
/wojciechmigda,xgb_test,So you simply increased number of trees from 700 to 800?,0,None,14,Wed Feb 03 2016 09:36:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18712,None,None
/mlnjsh,Iris LDA and KNN,Can You interpret these results?,1,bronze,1,Wed Feb 03 2016 11:18:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18716,None,None
/guilhermduarte,It's not really clear what to submit inside submission file,I haven't understood yet what to post inside the submission file. Are we supposed to make prediction about user behavior for what movies? Should we post likely ratings? Thanks,0,None,1,Wed Feb 03 2016 12:59:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18717,/competitions/movie-recommendation,None
/milesevan,Kaggle Novice -- how to begin,,0,None,3,Wed Feb 03 2016 13:20:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18718,None,None
/marieangelevan,submission issue,can I still upload my file. I had an issue with my first submission.,0,None,1,Wed Feb 03 2016 13:50:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18719,/competitions/homesite-quote-conversion,None
/paolocremonesi,Final Leaderboard,"dear all, please, find attached the final leaderboard. I wish to congratulate with all participants for making this competition live and active. The draft schedule for the Top10 presentations is available [Link]:http://1drv.ms/1P6gIHf. If you need to exchange date, please arrange with the corresponding team and make the modification to the online schedule. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/106723/3619/Leaderboard FINAL.pdf",0,None,10,Wed Feb 03 2016 15:37:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18721,/competitions/recommender-system-2015-challenge-polimi,None
/zygmunt,Database setups,"It seems to me that SQL was a popular choice for this competition. I am curious about what database engines (MySQL, Postgres, SQLite, etc.) did you use and what kind of machine did they need, especially in terms of memory.",0,None,2,Wed Feb 03 2016 17:04:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18722,/competitions/cervical-cancer-screening,29th
/ihadanny,Pawel & Maks insights,"cool. question - why do we need to convert back to patient level? why can't I learn directly per record from the diagnosis table, with the target borrowed from the patients table?",1,bronze,3,Wed Feb 03 2016 17:09:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18723,None,None
/mightybird,LR and score anomaly,"Hi, I am fairly new to ML and I just put together some code for LR for this competition. # LR fitLR = lm (trY ~ ., data=trainSet) pred = predict(fitLR, validationSet, type = ""response"") # tune cutoffs result predCut = pred predCut[predCut<1] = 1 predCut[predCut>8] = 8 for (j in 1:8) { predCut[ (predCut >= cutoffs[j]) & (predCut < cutoffs[j+1]) ] = j } r = ScoreQuadraticWeightedKappa(predCut,vaY,1,8) print(r) copy When I run this on some validation sets I get a score of about 0.6. This gets altered a bit when setting cutoffs for the predictions. However, when I run the test data and submit I will only get a score of about 0.5. And that's what I can't explain. Now you'll say you don't know my features. But let me tell you I added one feature after the other, about 25. But I always observed the p-values. They all are where they need to be. Thus my surprise. Also I am very certain I treated train and test equally. Any idea? Thanks Gerhard",0,None,3,Wed Feb 03 2016 17:28:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18724,/competitions/prudential-life-insurance-assessment,1803rd
/ogencoglu,Couple of Tips,"Hi there, First of all thanks to Andrei, Heikki & Mikko for organizing the competition. As one of the TAs of the course, I feel like giving couple of tips to the students (out of my couple of submissions :) ) : Apparently benchmark can be reached in a few trials using the expertise from exercise sessions Cross-validation is always a good idea! Yet, you may end up realizing that your local CV score is quite optimistic when compared to the LB score As there is not much data, overfitting is very likely. Additional data will, if not totally, at least to some extent compensate this. Some hyperparameter optimization will not hurt. Actually, additional data can be created by rotations, flipping etc. (won't make a difference if rotation-invariant image features are used though). Maybe worth to try. It would be a sound approach to select either slightly complex features + simple classifier or the other way around. Usually, ensemble submissions are saved for the last few days of competitions. It almost always helps. Happy Kaggling! Oguzhan",0,None,1,Wed Feb 03 2016 19:23:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18725,/competitions/copper-analysis,12th
/bshang,nolearn BatchIterator question,"Hi all, I just started this competition and already learned a lot the past week. For those using nolearn in this competition, did you run into out of memory issues when trying to load the CSV file produced by the mxnet Python script? I ended up running out of memory on my AWS spot instance so I thought to try out subclassing the BatchIterator and load the single CSV in batches. This seemed to work as far as the iterator implementation is concerned but doesn't seem to fit well with how nolearn is generating the Train/Validation split. Mxnet uses two CSV iterators but I'm not sure if nolearn supports this type of input. I'm sure it's possible to change the internals of nolearn a bit, but I don't think I would generate a submission in time :) I wanted to use nolearn since I could do data augmentation on the fly. Mxnet supports this with the RecordIO iterator but it seems like the im2rec tool only works on images with 3 color channels (correct me if wrong here), when we could have 30 here. So I'm stuck in a bind where both Mxnet and nolearn seem to support some but not all of what I want to do. I think as a last resort I can write out the augmented data to files if using Mxnet, and split up the single input CSV into multiple ones if using nolearn, but was wondering if there was any off-the-shelf functionality I'm missing.",0,None,1,Wed Feb 03 2016 19:38:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18726,/competitions/second-annual-data-science-bowl,None
/director,Simple XGBoost (0.46146),"(!!!) CHANGE boost_round from 5 to 1800 Please, runs this script on your own PC, because it's requires >1200 sec time (allowed on Kaggle).",3,bronze,29,Wed Feb 03 2016 23:15:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18728,None,None
/jscheibel,blog about doing this contest over 1 week,"I blog from time to time, and I recently reset/rebooted my blog. So to kick off the reboot (after a year of writing nothing) I decided to write about my exploits on a contest that wasn't long for completion. This one. I only started working on this particular contest with 8 days to go, so these blog entries should really be a good representation in condensed form of how I normally go about a kaggle contest. [Link]:http://dimredglow.com/?tag=homesite-quote-conversion I'll save you time if you are looking for scripts or some sort of magic solution, i'm no where near the top and I dont use scikit. So you wont find either there. hopefully a few of you find it interesting.",4,bronze,13,Wed Feb 03 2016 23:32:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18729,/competitions/homesite-quote-conversion,1039th
/patruff,Sunnybrook data,Is anyone using the Sunnybrook data? I was thinking about incorporating it but it seems like it doesn't offer very much in terms of data (just 45 images from multiple patients). I was just curious if anyone is using it and if so what their results are. Thanks.,0,None,4,Wed Feb 03 2016 23:51:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18730,/competitions/second-annual-data-science-bowl,None
/bobcz3,NN underperforms simple threshold!?,"Trying a slightly different approach with xgboost, I've converted the integer response variable to a thermometer code (1 -> 0000000, 2 -> 1000000, …, 8-> 1111111) and trained 7 xgb models (reg:logistic), one for each of the bits in the code. To compute the predicted response I've first taken the outputs from each of the seven models, applied a threshold (hand optimized to a value a bit above 0.5) and then simply counted the number of outputs above that threshold and added one. With the hope that I could do something that might offer a slight improvement over the threshold method, I then took the same xgb outputs and fed the results into a simple NN where the the input layer is of size 7 (obviously), there are one or two hidden layers, and final layer has 8 outputs (softmax). The NN was trained against a one-hot of the original integer response variable using the same training data as the xgb models. The predicted response is indicated by the output with the largest value. Here's the problem, I can't get the NN to perform as well as a simple threshold on a validation dataset. As the NN model can be pretty quick to train I've performed a grid search as follows: Number of epochs batch size activations (tanh, sigmoid, relu) nodes (up to 20 on each layer) hidden layers (1 or 2) training length (full to full/8) In the end, the models that performed the best only had one hidden layer of size 2 or 3 depending on the activation and the best score for the NN was always ~.04 below the threshold method. Thanks for reading. Any thoughts on why the NN can't do better, or at least as well?",0,None,4,Thu Feb 04 2016 00:41:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18732,/competitions/prudential-life-insurance-assessment,330th
/remap1,Looks like a nice challenge...,"With a logloss challenge, it's easy to assume it will result in another tuning / ensemble war, but there's a huge number of Nan's involved, so there's a lot of feature engineering on this one too that could give you the edge over the ensemblers. Some early observations: v22 has a lot of categorical values and trying to vectorize may run your PC out of memory. So in my initial script I simply removed it to not worry about it. v71 and v91 seem to be equal at least in the number of counts. I wonder if they're essentially duplicates of one another. Which is why I assumed it could be removed too. Really looking forward to the first exploratory data analysis on this one.",9,silver,23,Thu Feb 04 2016 00:58:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18734,/competitions/bnp-paribas-cardif-claims-management,839th
/benhamner,SF Salaries by Gender,"The data's located in ../input/Salaries.csv, so line 7 needs to be updated accordingly",0,None,1,Thu Feb 04 2016 02:47:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18736,None,None
/benhamner,SF Salaries by Gender,"The data's located in ../input/Salaries.csv, so line 7 needs to be updated accordingly",0,None,1,Thu Feb 04 2016 02:47:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18737,None,None
/boshuang,Would anyone with score <0.017 like to team up?,"It's time to team up! My approach does not use neural nets or machine learning. My approach finds the threshold and the region to calculate the LV volume and currently has reached 0.0155. I would like to team up with someone using neural nets or other methods. Several things you may want to know: 1, I use MATLAB. I am not sure if we must use the same language. 2, This is my first time to participate the competition, so I would prefer to find someone with experience about how to merge as a team.",0,None,3,Thu Feb 04 2016 03:04:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18738,/competitions/second-annual-data-science-bowl,8th
/selleraccount1501,Part 1: For Beginners - Bag of Words - Issue with reloading classifier,"Hi : I broke the tutorial in two parts… a training file where the classifier is trained… then the RandomForest is dumped as forest.pkl. When I reload in the other testing file to do the submission I am getting an error: Vocabulary wasn't fitted or is empty! when using transform at this line… test_data_features = vectorizer.transform(clean_test_reviews) I changed the program to this... ##load the classifier forest = joblib.load(classifier)### put in the name of the classifer, 'filename.pkl' # Read the test data test = pd.read_csv(infile, header=0, delimiter=""\t"", \ quoting=3 ) #infile is testData.tsv # Verify that there are 25,000 rows and 2 columns print ""Test shape(Rows, Columns of Data):"", test.shape # Create an empty list and append the clean reviews one by one #num_reviews = len(test[""review""]) num_reviews = 2000 #this is test code.. remove clean_test_reviews = [] print ""Cleaning and parsing the test set...\n"" for i in xrange(0,num_reviews): if( (i+1) % 1000 == 0 ): print ""Review %d of %d\n"" % (i+1, num_reviews) clean_review = review_to_words( test[""review""][i] ) clean_test_reviews.append( clean_review ) # Initialize the ""CountVectorizer"" object, which is scikit-learn's # bag of words tool. copy vectorizer = CountVectorizer(analyzer = ""word"", \ tokenizer = None, \ preprocessor = None, \ stop_words = None, \ max_features = 5000) # Get a bag of words for the test set, and convert to a numpy array #test_data_features = vectorizer.transform(clean_test_reviews) test_data_features = vectorizer.fit_transform(clean_test_reviews) test_data_features = test_data_features.toarray() print ""Test data feature shape:"", test_data_features.shape # Take a look at the words in the vocabulary vocab = vectorizer.get_feature_names() print vocab # Use the random forest to make sentiment label predictions result = forest.predict(test_data_features) # Copy the results to a pandas dataframe with an ""id"" column and # a ""sentiment"" column output = pd.DataFrame( data={""id"":test[""id""], ""sentiment"":result} ) # Use pandas to write the comma-separated output file output.to_csv( outfile, index=False, quoting=3 ) # ""Bag_of_Words_model.csv"", copy When I changed this to fit_transform, The program then runs and prints out labels as expected… is this wrong? I don't want to fit the data, then run it… I am using the loaded forest classifier to predict. seems wrong.. how can i fix this to be better…?",0,None,2,Thu Feb 04 2016 05:21:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18740,/competitions/word2vec-nlp-tutorial,None
/lucadeangelis,How I Analysed my home city Instagram Data to Spot People Behaviour,"Hi everyone, I am new to kaggle and I am also new to R programming, but I really find it powerful and interesting for any type of research! As a personal project to practice a bit my skills I decided to conduct a small social research using Instagram API. I actually tracked down the data of pictures posted in my home city over a week and tried to get some nice insights on user behaviour and the city activity itself. Can I ask for your expert feedback and your personal opinion? :) Every comment is really appreciated. Here is the link to the short research article: [Link]:https://goo.gl/OthhPB Bests, Luca",3,bronze,9,Thu Feb 04 2016 10:35:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18743,None,None
/del=cca345899d608f0a,H2O Starter GBM,"Hi, mlandry. Thanks for your script. I suggest to fill the NAN in the train and test sets using mean/median values (calculus without NA values) of the features. Did you test it?",0,None,2,Thu Feb 04 2016 11:31:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18744,None,None
/salimali,Sali Mali Insights,"Accurate predictive models in health care on their own are pretty useless - you don't just want to know if someone is going to be ill, you want to know why, so that the appropriate preventive action can be taken. But a lot of 'insight' is often wrong because the data was not fully understood. Understanding, preparing and making the data fit for purpose is typically 80% of the time a data scientist will spend on a modelling project. rubbish in, rubbish out! What did we find out about the Genentech data??? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/106851/3627/SaliMaliGenentechFindings.html",3,bronze,3,Thu Feb 04 2016 13:32:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18747,/competitions/cervical-cancer-screening,8th
/davutpolat,[Deleted Kernel],"all_data['CF1'] = all_data['BMI_Age']2.5 all_data['CF2'] = all_data['BMI']0.8 all_data['CF3'] = all_data['Ins_Age']8.5 all_data['CF4'] = (all_data['BMI']+1.0)2 Those features does not make any sense for a decision tree when u already got 'BMI_Age',BMI, and Ins_Age in your feature set. Because those feature's rank transform is identical with 'BMI_Age',BMI, and Ins_Age. If your new features order (ranks) is not changed then no need to add it.",0,None,4,Thu Feb 04 2016 13:57:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18748,None,None
/thuyenvn,The results need to be reproducible?,"I just notice that for cudnn, its backward computation for convolutional layers is stochastic and not reproducible. Cudnn has been used in winning solutions in the past, so it should be OK to use it in this competition?",0,None,7,Thu Feb 04 2016 15:06:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18749,/competitions/second-annual-data-science-bowl,6th
/samehif,full text search,just wondering why Home Depot don't use some existing solution for text search that provide relevance information?? Elastic Search for example.,0,None,4,Thu Feb 04 2016 16:06:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18750,/competitions/home-depot-product-search-relevance,None
/dbonilla,Request to upgrade to Postgresql DB,"Hi everyone , It is nice to be able to use sql to query this data however sqlLite is a bit limited. Please join me in requesting an upgrade to postgresql, in particular I wanted to use some ranking functions. Please vote :) Thank you! Dan",0,None,1,Thu Feb 04 2016 17:09:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18752,None,None
/jscheibel,Datamining conference hosted by kaggle,I was curious. Would you guys would ever consider having/hosting a conference?,2,bronze,2,Thu Feb 04 2016 18:44:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18753,None,None
/avi9999,Feature Engineering,Any pointers on what kind of feature engineering would be needed? Anyone? How to handle an anonymized dataset?,4,bronze,30,Thu Feb 04 2016 19:38:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18754,/competitions/bnp-paribas-cardif-claims-management,1116th
/lopespm,Automatically filled profile picture. From where?,"Out of curiosity, how does Kaggle discover one's initial avatar picture? I have created an account providing only my email, username and password (no linking to other services). Since my avatar picture was automatically filled in, I was wondering which sites does Kaggle search for the avatar picture?",4,None,2,Thu Feb 04 2016 19:48:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18755,None,None
/hanshupe,Time series pattern match in large datasets,"I want to find in a time series pattern that look similar to a predifined one. At the moment I am using DTW to do this and it works well. But now I want to use it for larger datasets like finding a sequence of 1000 values in a reference sequence of 200000 values. My DTW approach with a sliding window takes hours for this. Does anybody know better techniques to do that, or is it possible to improve the performance of DTW (preferred in R)? Thanks!",0,None,1,Thu Feb 04 2016 19:51:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18756,None,None
/antgoldbloom,Food profiles,"This is great. I'm surprised North America is not higher for sugar. The sweetness of food was one of the first things I noticed when we moved to the US from Australia. Although it could be because a lot of the sweetness comes from high fructose corn syrup, which is not captured.",0,None,1,Thu Feb 04 2016 20:17:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18757,None,None
/andrewcd,What is the purpose of classifying crime types?,"So, this seems like a fun way to play with data. Perhaps I'm lacking imagination, but what useful purpose is served by classifying particular crimes -- that have already happened -- to their categories? It would be one thing to predict the probability of incidence of a particular sort of crime based on time and location. But this is not the same thing. Grateful if anyone can point out whatever it is that I might be missing.",0,None,5,Thu Feb 04 2016 21:02:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18758,/competitions/sf-crime,None
/jaredawebb,Introduction to FARS,See the attached ipython notebook for an introduction to the FARS data set. I will be following this topic if anyone has any questions. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/106914/3632/Getting Started With FARS.ipynb,0,None,2,Thu Feb 04 2016 22:16:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18760,/competitions/mdst-fars,5th
/benhamner,descriptive_statistics_1,"You can use plt.savefig to save Python outputs, e.g. line 18 in [Link]:https://www.kaggle.com/benhamner/titanic/python-seaborn-pairplot-example",1,bronze,2,Thu Feb 04 2016 22:20:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18761,None,None
/balag59,Help:Some ideas on getting started,Hi everyone! I'm new here and to machine learning and I'm just starting off.So i would really appreciate some guidance on how i can get started with this and some ideas on how to approach this.Some online resources on how to tackle this would also be great!Thanks in advance and all the best to you all! Thanks Balaji,0,None,7,Thu Feb 04 2016 22:58:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18762,/competitions/yelp-restaurant-photo-classification,None
/carissas,Only 24 hours left to submit!,"The model submission deadline is fast approaching! Please make sure to get your final models uploaded before 11:59pm UTC on Friday, February 5th. (This is 3:59pm Pacific Time and 6:59pm Eastern Time.) Model upload functionality will no longer be available after that time. Your model must be uploaded by then to be eligible for prizes. Please refer to our post about [Link]:https://www.kaggle.com/c/the-allen-ai-science-challenge/forums/t/18384/model-submission for more details. Good luck to everyone!",0,None,6,Fri Feb 05 2016 01:01:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18763,/competitions/the-allen-ai-science-challenge,None
/engrstudent,"Trying to understand the data, time","The variable names are not nearly as useful as knowing where they come from, or what they imply. The data page says ""Each row in the main dataset represents a location and a time point."" Is this saying that ""Id"" is a time, or at least a sequence identifier? Is the event associated with ""id"" number 2 something that happens after event ""1"" and before ""3'? Do we know anything about hour, day of week, day of year? Seasonality drives use, and level of demand can influence severity. Do we know anything about correlation of location? A single storm may impact several locations that are adjacent to each other and within the area of impact.",1,None,6,Fri Feb 05 2016 02:50:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18764,/competitions/telstra-recruiting-network,712th
/jstroud,Redownload fars_test.zip,"Hey everyone, It was brought to my attention that there was a mismatch between the unique IDs used in fars_test.zip and the one used in the solution file. We have fixed the issue, but you will need to download fars_test.zip again. Good luck! Jonathan",1,bronze,1,Fri Feb 05 2016 03:48:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18765,/competitions/mdst-fars,None
/wongjingping,Hand Labeling,"Hi Admins, I was wondering if hand labelling is allowed on images in the training set? For example, I would like to label (if an individual image is outdoor/indoors, or contains food, etc) and use the resultant model trained on those labels for predicting on the test set. The main motivation is that there is a lot of noise in the pictures (irrelevant pictures to the categories provided), and hand labelling a subset of the training images might prove useful in guiding the classifier to detect relevant pictures and ignore others.",0,None,2,Fri Feb 05 2016 03:57:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18766,/competitions/yelp-restaurant-photo-classification,148th
/isaacspectre,Are there any info about the meaning of columns? ,Just 131 columns without description?,1,bronze,16,Fri Feb 05 2016 09:16:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18769,/competitions/bnp-paribas-cardif-claims-management,None
/paolocremonesi,Top10 presentations,"dear Top10 presenters, presentations will be held in the afternoon. I will post in the next days the exact time and location.",0,None,1,Fri Feb 05 2016 10:16:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18770,/competitions/recommender-system-2015-challenge-polimi,None
/scirpus,xgb_test,A more analytic objective for Kappa - the idea is to modify RMSE so that a wider range of values are equally valid for rounding or cutting,0,None,5,Fri Feb 05 2016 11:37:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18771,None,None
/geetag,R users,"I'm new to Kaggle…I have tried many times using H20 deep learning,xgboost,GBM…and few models averaging but none of them is giving me score above than 86.5….. Anyone got better score using R ….and ideas to improve my score to 87.5 may be….Thanks!!",0,None,3,Fri Feb 05 2016 12:17:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18772,/competitions/airbnb-recruiting-new-user-bookings,713th
/hedgehoginsights,can first booking happen before account creation,Hi am not sure why but there are several records with booking date lesser than account creation data. Can one book without creating an account?,1,bronze,1,Fri Feb 05 2016 12:39:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18773,/competitions/airbnb-recruiting-new-user-bookings,None
/scirpus,Modified RMSE,Instead of straight rmse I wanted to flatten the error function so it wouldn't penalize slight deviations from the RMSE minima. i.e. if the response is 4 then I wanted 3.6 or 4.4 to be almost as good as 4 so I convolved the rmse with (1-gaussian). The reason for this is that ulitmately one will use rounding or cutting not the raw values. The picture should help. A skewed gradient improved the score which is why it is has a +1 rather -1 on the end. The script can be found at [Link]:https://www.kaggle.com/scirpus/prudential-life-insurance-assessment/xgb-test/discussion [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/106966/3634/error.png,6,silver,1,Fri Feb 05 2016 14:15:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18774,/competitions/prudential-life-insurance-assessment,87th
/knorra,Java,Is anyone using Java and would like to share experiences?,1,None,5,Fri Feb 05 2016 14:39:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18776,/competitions/second-annual-data-science-bowl,None
/mightybird,Problem calculating logloss,"Hi, I try to run the following code and the logloss result is ""Inf"". When I look at the vectors used as argumens everything looks just fine. When I run logloss with some dummy data I get a result != Inf… Any idea appreciated! Thanks Gerhard > rf <- randomForest(as.factor(target) ~ ., data = trainSet, ntree = 3) > yhat <- predict(rf, validationSet, type=""prob"")[,2] > ll = logLoss(vaY, yhat) > print (ll) [1] Inf copy",2,bronze,5,Fri Feb 05 2016 19:32:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18777,/competitions/bnp-paribas-cardif-claims-management,530th
/alisonskytree,Skytree is releasing a free version of its fast ML software,"Dear data scientists, we are releasing a free version of our machine learning software. This has fast implementations of various popular methods like gradient boosted models, random forests, support vector machines, etc., and also the convenient capability of automated parameter tuning. Feel free to use it on your personal projects or your next Kaggle submission, and even for commercial work. This version includes a command line interface (CLI) for a single node, and can run on datasets with up to 100 million elements (= rows x columns). If you are interested in using it on larger datasets (e.g. on Hadoop), or would prefer a graphical user interface with capabilities like model visualization, please follow the contact link on the page below. [Link]:http://pages.skytree.net/free-download-web.html?utm_medium=social_media&utm_source=kaggle Relevant blog posts: [Link]:http://www.skytree.net/2016/01/26/bringing-fast-automated-machine-learning-to-everyone/ [Link]:http://www.skytree.net/2015/06/22/10-billion-row-challenge/ [Link]:http://www.skytree.net/2015/05/29/automatic-method-and-parameter-selection/ Please feel free to join our [Link]:https://www.linkedin.com/groups/4468542 for community support, and let us know if you find our software useful, or have any questions or feedback. Thanks!",1,bronze,1,Fri Feb 05 2016 23:08:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18779,None,None
/del=49f2d580143b0b45,Phone number verification,"Hi all, If I delete an account that is associated with phone number that has been used to verify my account, can I use that phone number again to verify another account? It's a bit complicated to explain why.",3,None,4,Fri Feb 05 2016 23:11:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18780,None,None
/benhamner,SF Crime: Data Exploration,The golden gate bridge isn't as prominent as I'd expect. Maybe there's overlapping points there - could be worth adding jitter to the data to see,2,bronze,1,Fri Feb 05 2016 23:23:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18781,None,None
/firedrake969,"What's considered a ""good"" score?","I've done absolutely nothing with machine learning before, and I was able to get a score of 0.72249 (Random Forests) and a score of 0.76077 (LinearSVC). Is that good for this set? (I didn't do much besides a grid search for the SVC, and some data pruning like removing PassengerId) Could I possibly move on to ""real"" competitions? edit - ran an SVC with an rbf kernel on 2000 rows of the data, and got 0.77990 if that makes a difference at all.",3,bronze,3,Fri Feb 05 2016 23:43:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18782,/competitions/titanic,None
/senecaur,BAH-NVIDIA Team Blog Post #2,"Hi! We are pleased to share some notes on our current deep learning based approach to the contest. Whilst we haven't given all the model specifics, we're happy to engage in discussion about our methods and what has and hasn't worked! [Link]:http://www.datasciencebowl.com/first_dl_submission/",5,bronze,20,Fri Feb 05 2016 23:59:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18783,/competitions/second-annual-data-science-bowl,71st
/aviatorx,Question to the host,"One may notice that there are so many NAs in the datasets. In this case, how to engineer these NAs might significantly affect the predictor. Any ideas about how to treat them? (realized it's not a appropriate question to the host :) )",1,bronze,4,Sat Feb 06 2016 01:09:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18785,/competitions/bnp-paribas-cardif-claims-management,7th
/benhamner,Basic Tweets per Second,"I've added arrow to [Link]:https://github.com/Kaggle/docker-python/commit/0bb0ec14c23bd0fcc62c42a84755c906762cd4ae, and this is now live on the site.",1,None,4,Sat Feb 06 2016 01:28:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18786,None,None
/carissas,Welcome to Stage II!,"The model uploading deadline has passed -- congratulations to all participants who got a model submitted in time, we are excited to see how your models perform on our final test set! You can access the final test set on the competition [Link]:https://www.kaggle.com/c/the-allen-ai-science-challenge/data. For full details of the logistics and timeline for the competition's end and announcement of winners, [Link]:https://www.kaggle.com/c/the-allen-ai-science-challenge/forums/t/18579/competition-end-timeline-and-announcement-of-winners. Finally, we ask that you do not make any significant changes to your model at this time. Doing so will invalidate your model's prize eligibility. If you need to make any changes to your model in order to fix any emergent bugs or optimize performance, these changes should be documented so that they can be reviewed and verified during the final verification phase. (Only the winning models will be verified in order to ensure prize eligibility). Best of luck and please let us know if you have any questions!",0,None,5,Sat Feb 06 2016 03:00:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18787,/competitions/the-allen-ai-science-challenge,None
/chergik,Interaction between contacts,"Very nice notebook. Thanks for the effort! I especially liked that you used TFIDF, tokenizing and stemming, unlike in many other notebooks full of buzzwords (e.g. will, new, time, etc).",1,bronze,1,Sat Feb 06 2016 04:28:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18789,None,None
/jwegas,After competition,"Hi, Carissa! Can you tell me please - will it be possible to get correct answers for test dataset after end of competition?? I just would like to continue improve my model after competition. For my science research. Of course this data will not be published anywhere.",1,None,16,Sat Feb 06 2016 11:11:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18791,/competitions/the-allen-ai-science-challenge,65th
/rbilugu,How to submit ipython notebook?,"Please accept my apologies if I'm posting this in the wrong forum ; searching the main forums gave too many results with too little info! I was checking my recently acquired python programming skills on this dataset (reason for posting here) and in the process, generated a ipython notebook file (attached file) which I would like to submit for review and feedback. Is there a way to upload this file directly or do I have to create a new script/notebook for each submission? I'm new to Kaggle. Any help in this regard would be greatly appreciated. Thankyou [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107060/3641/Little_Ice_Age.ipynb",0,None,1,Sat Feb 06 2016 11:55:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18792,None,None
/bigbaloo,Cross validation strategy when blending/stacking,"Hi everyone, I'm a newcomer to Kaggle and I'm a little confused about the cross validation strategy of the second stage when blending/stacking. From what I've found there seems to be different approaches, you will find below my understanding of each. Is my understanding correct or am I missing something ? Strategy A Source : [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/14335/1st-place-winner-solution-gilberto-titericz-stanislav-semenov Split the train set in k folds Fit a first stage model on k-1 folds and predict the kth fold Repeat 2) to predict each fold We now have the (out-of-folds) prediction of the k folds Split these out-of folds predictions in p folds Fit a second stage (stacker) model on p-1 folds and predict the pth fold Repeat 6) to predict each fold The CV error of the second stage is calculated on each predicted fold Pros Seems to work well in practice (used by competition winners) Cons Information leak (?) Strategy B Source : Blending in [Link]:http://mlwave.com/kaggle-ensembling-guide We create a holdout of 10% of the train set, then train the first stage on 90% the data. Then we train and cv the second stage on the holdout Create a holdout of 10% of the train set Fit a first stage model on the train set without the holdout Predict the untouched holdout with the trained first stage model Split the predicted holdout in k folds Fit a second stage model on k-1 folds and predict the kth fold Repeat 5) to predict each fold The CV error of the second stage is calculated on each predicted fold Pros Simpler than strategy A No information leak between first and second stage Cons Less data, especially for training and cv of the second stage Strategy C Mix of strategy A and B, we train the second stage on the (out-of-folds) predictions of the first stage and use the holdout only for a single cross validation of the second stage Create a holdout of 10% of the train set Split the train set (without the holdout) in k folds Fit a first stage model on k-1 folds and predict the kth fold Repeat 3) to predict each fold Split these out-of folds predictions in p folds Fit a second stage model on p-1 folds and predict the pth fold Repeat 6) to predict each fold Fit the first stage model on the whole train set without the holdout Predict the holdout with the trained first stage model The cv error of the second stage is calculated on the first stage prediction of the holdout Pros No information leak between first and second stage More data for training the second stage compared to strategy B Cons Second stage CV is less robust Strategy D Source : [Link]:http://stats.stackexchange.com/questions/102631/k-fold-cross-validation-of-ensemble-learning/102645 Same as strategy C, except instead of using a fixed 10% for the holdout we do a k-fold and loop over each holdout. Split the train data in k folds, keep the kth fold as holdout Fit a first stage model on k-2 folds and predict the k-1th fold Repeat 3) to predict each (k-1) fold Split these out-of folds predictions in p folds Fit a second stage model on p-1 folds and predict the pth fold Fit the first stage model on all the (k-1) folds Predict the untouched holdout (initial kth fold) with the trained first stage model and calculate the cv error of the second stage for this fold Repeat 1) for each fold Pros No information leak Robust CV for the second stage Cons Computationaly heavy, we must retrain the first stage for each second level fold Edit: rewrited strategy D",194,gold,Strategy A,Sat Feb 06 2016 13:55:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18793,None,None
/ekydna,Score calculate,Sorry for the newbie question. How calculate score on this competition? It's like a quadratic weighted kappa? May be this: score = sum( abs( y_test[i] - y_perdict[i] ) ) / test_size Who thinks that? Regards!,0,None,2,Sat Feb 06 2016 15:43:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18794,/competitions/home-depot-product-search-relevance,6th
/canyon289,Why is categorizing a continuous output working so well?,"It seems like many of the strategies here are to get predictions that are continuous, then optimize the cutpoints using fmin_powell or other optimization functions. I'm curious why this approach is working better than tuning a classifier which would already return integers and wouldn't need optimization. Anyone have a practical or theoretical explanation? Thanks in advance",1,bronze,3,Sat Feb 06 2016 16:42:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18795,/competitions/prudential-life-insurance-assessment,564th
/dsoreo,Test data split,The data in test data is from 1-July-14 to 30-Sep-2014. Is 30% public leaderboard data randomly picked from from this dataset or split by date and contains only 27/28 days in July 2014?,0,None,2,Sat Feb 06 2016 17:47:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18796,/competitions/airbnb-recruiting-new-user-bookings,128th
/cardocuco1,Model scope,"Hi, After reading the terms I have got a doubt about the Model submission. Taking text from terms and rules: Model: any code, text, algorithm or series of algorithms, equation or series of equations, material, software, designs, documents, descriptions or specifications which is used, in whole or in part, directly or indirectly, in calculating, drafting, building, devising, calibrating, testing, evaluating, analyzing or generating an Entry, or which itself constitutes the whole or part of an Entry. and also… In order to be eligible for prizes, you are required to upload your model prior to the release of the test dataset. This model will be used to verify that the test set was scored in a completely automated manner. my question is: even having a model/script that generate a Entry from data. Is not possible to partially protect the IP of the algorithm for the training process ?",0,None,3,Sat Feb 06 2016 18:11:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18797,None,None
/kevinmcisaac,How do you do feature selection?,"I have two simple methods. Firstly, I create a bunch of features, then Starting with zero features, I find the feature that gives the best validation score and iterate adding features one at a time until the validation score does not improve. Starting with all the features, I subtract the feature that gives the best improvement in validation score and keep iterating until the validation score no-longer improves. what other, better methods do you use?",0,None,1,Sat Feb 06 2016 21:26:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18799,/competitions/telstra-recruiting-network,186th
/kevinmcisaac,How do you do feature engineering,"So far I've experimented with: Grouping features with the same 'id' into a single row, creating one single row per 'id' and treating each 'id' as a single training event. Create random transformation and combinations of these features, e.g., log(volume), volume*severity etc. Replace string categorical features with the number used in the feature class to create a new integer feature. This seems like an odd hack but helped. Add a frequency count of categorical feature (e.g., how many times a location appears in train/test). Add the conditional probability of 'fault_severity' given some feature, e.g., location. Ideas 3-5 are ways to deal with high cardinality categorical features that can be a problem with ML. I then use my simple feature selection method (i.e., building up the feature list adding the next feature that most improves the validation score) to eliminate the unnecessary features. I also found it instructive to create validation scores each feature in a single feature model and list these in order of the validation score.",2,bronze,9,Sat Feb 06 2016 21:47:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18800,/competitions/telstra-recruiting-network,186th
/kaggalex,downloading from command line (wget),"Has anyone been able to successfully download the data using wget? I exported my cookies and tried the following command: wget --load-cookies=cookies.txt -P data [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/download/train.zip However, it seems to only be getting me some generic Kaggle HTML page. Any suggestions?",1,None,8,Sun Feb 07 2016 00:35:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18803,/competitions/second-annual-data-science-bowl,86th
/dsoreo,What has Kaggle learned from 2M ML models,Nice watch! [Link]:https://www.youtube.com/watch?v=8KzjARKIgTo,5,bronze,1,Sun Feb 07 2016 02:03:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18804,None,None
/namenlos,Getting Test Set,"Hello everyone, I would like to use the data set for research purposes. Is there any way to get the test set, so the information of which trips are from different drivers? Best Regards",0,None,3,Sun Feb 07 2016 12:16:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18806,/competitions/axa-driver-telematics-analysis,None
/anupam1924,interpreting xgb.imp results in R??,"How does one interpret the xgb.importance results? I am unable to decide which variables to take and which to drop . When i select top 200 ( out of 299 vars ) from xgb.imp results,I get worse results . I have also created some variables based on their correlation/ association with the target variable but including them give me worse result (even when some of them appear on top in xgb.imp list) How to select important variables ?? Does dropping useless vars ( as given by xgb.imp list) improves score ?? Any help is appreciated :)",1,bronze,4,Sun Feb 07 2016 17:35:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18807,/competitions/telstra-recruiting-network,None
/jturkewitz,Expected Leaderboard Shakeup,"I have made a rough calculation that the expected shakeup from public to private lb for any given contestant is 0.001. I made a number of assumptions to simplify my math, but this calculation should be approximately true assuming no overfitting. I calculate this by first figuring out a rough estimate of the correct guesses someone makes. For each user, the maximum public lb gain is 0.00005 ( 1 / total_num_users). So for a lb score of 0.881, this amounts to roughly 17600 correct guesses. Then we can use the formula for binomial error on a ratio: sqrt(num * (1 - (num/den))) / den to calculate the approximate uncertainty on the score - this leads to 0.0017 as the lb uncertainty. However, this does not account for the ndcg metric - I decided to approximate this effect by multiplying the numerator and denominator of the ratio by a factor of 2, because I wasn't sure what else to do. This leads to an uncertainty of ~0.001, This corresponds to correctly ranking 23 users that are not found by other models (or correctly switching the order of rankings on ~50 users). In summary, if people are making independent predictions expect significant lb shakeup even without assuming overfitting.",1,bronze,21,Sun Feb 07 2016 19:37:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18808,/competitions/airbnb-recruiting-new-user-bookings,44th
/jeffgrizzle,Technology Restrictions,"Are there any limitations on the technology that can be used to derive results; specifically commercial software like SPSS, SAS, MS SQL Server, Oracle, etc? I've reviewed the rules and it doesn't state specifically so it doesn't sound like it is but I would like a second/conclusive word.",0,None,11,Sun Feb 07 2016 22:46:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18811,/competitions/home-depot-product-search-relevance,1846th
/tobycheese,"I stacked up a problem, maybe someone can help","I tried stacking for this contest, and something is not quite right. Maybe someone can give me a hint where the problem might be. Here is what I tried: I split 10% off my training set for local cv (stratified). The rest is my training set during model development. For each 1st level model, I did a 10fold CV (again stratified), training on 9 folds and predicting on the 10th. In each fold, I also predicted on the whole 10% that I split off in step 1 I validate each 1st level model with my predictions from step 3 (averaging predictions over all 10 folds) For second level models, I use all predictions from step 2, which yields 10 features per model. For final submission, I skip step 1, predict on the test set in step 3 and skip step 4. Now, the problem is that even tough my validation scores that step 4 generates for single 1st level models are quite ok, when I submit one of these 1st level models all by itself, the lb score is nowhere near my validation score for that model (even though it was trained on 10% more data). Wherein lies my error? I somehow doubt that this is a common case of overfitting, but before I start plotting learning curves, I wanted to ask here if my whole approach is flawed.",1,bronze,13,Mon Feb 08 2016 00:42:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18812,/competitions/homesite-quote-conversion,855th
/pauljurczak,Study 123 irregularity,"Study #123 has multiple slices in its SAX directories. It is mentioned in Fourier Based Tutorial: Some datasets (e.g. #123) contain in their SAX folders not only the short axis stack images, but a number of other views of the heart presented in sync. This presents a problem to Dataset, which expects there to be only one slice in any folder. I can see multiple slices, but I went through all #123 SAX directories and I haven't noticed different views. Am I mistaken?",0,None,3,Mon Feb 08 2016 05:46:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18813,/competitions/second-annual-data-science-bowl,113th
/featurefinder,PredictedProb - question to host,"hi there, Sorry for the newbie question - presumably the probability output required is the probability of being classified as 1 for claims suitable for an accelerated approval? Thanks",1,bronze,2,Mon Feb 08 2016 08:35:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18814,/competitions/bnp-paribas-cardif-claims-management,1734th
/jeffgrizzle,External Data Source,[Link]:http://www.crawler-lib.net/nhunspell,0,None,5,Mon Feb 08 2016 09:47:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18816,/competitions/home-depot-product-search-relevance,1846th
/joexjmmvhm,Unsupervised training on Test data,"This challenge seems like an obvious case for unsupervised pretraining, and training on the test data would be useful. So, here is the question, both to the other competitors, but also to the administrators, would it be frowned upon or worse disqualifying to use the test data for unsupervised learning. If not disqualifying can anyone give a good logical reason why I would not want to do that?",0,None,2,Mon Feb 08 2016 14:45:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18817,/competitions/yelp-restaurant-photo-classification,343rd
/keptavista,GPL license,Here is excerpt from the rules: A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license: other than an Open Source Initiative-approved license (see [Link]:http://opensource.org/); or an open source license that prohibits commercial use. I want to ask if it's ok to use software with a GPL license as it has some limitations for commercial use but it is in opensource.org. I am no expert on licenses so would like to hear some clarification for the peace of mind. Thank you,0,None,7,Mon Feb 08 2016 16:05:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18818,/competitions/home-depot-product-search-relevance,41st
/alexandrudaia,Team  from here  outsorcing project,"I was doing ,,vagabondage'' on upwork and it seems some team is trying to outsorce this competition: [Link]:https://www.upwork.com/jobs/_~0190f793f13ec69b25/ Is this allowed?",6,bronze,12,Mon Feb 08 2016 16:24:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18819,/competitions/prudential-life-insurance-assessment,1300th
/kboomer,What determines the target variable?,"How is the determination made whether a claim is suitable for an accelerated approval (0 or 1)? Is it a determination made by human experts, automatically by an existing set of business rules, or by some combination of the two?",2,bronze,2,Mon Feb 08 2016 19:37:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18821,/competitions/bnp-paribas-cardif-claims-management,None
/spammy,Clarification on contest prize,"Any information on what the ""fast track through the recruiting process"" prize really means? My interpretation of this is that if I win I get an interview, with no guarantee of a job offer, and Yelp has all the rights to my winning model code. Correct?",3,bronze,6,Mon Feb 08 2016 20:13:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18823,/competitions/yelp-restaurant-photo-classification,None
/benhamner,Fish Catch Analysis,We don't currently support downloading external data (this breaks reproducibility). Would you like us to republish this dataset through [Link]:https://www.kaggle.com/datasets?,0,None,1,Mon Feb 08 2016 21:10:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18825,None,None
/paulperry,More Insights,"I would have liked to have shared these insights sooner, but it came together just now and it only scratches the surface of what is possible. I share an ipynb that was aimed to be run in Kaggle scripts, but expediency, CPU and library limitations had me share what I have now. I tried to create a notebook, but it disa_ppeared on me (!). The [Link]:https://github.com/paulperry/kaggle-cervical-cancer-screening/blob/master/cc_Insights.ipynb, but renders better locally as I color code the tables. Also, our [Link]:https://github.com/paulperry/kaggle-cervical-cancer-screening/wiki. [Image]:https://raw.githubusercontent.com/paulperry/kaggle-cervical-cancer-screening/master/tmp/images/cbsa_map.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107266/3648/cc_Insights.ipynb",2,bronze,1,Tue Feb 09 2016 00:23:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18828,/competitions/cervical-cancer-screening,29th
/albarazanchi,Congratulations to winners,This competition was so fun and I learned a lot.,4,bronze,79,Tue Feb 09 2016 01:04:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18829,/competitions/homesite-quote-conversion,756th
/mikeskim,Solution Sharing: Please tell me your secrets,Asking those at the top to graciously spill the beans because I tried a lot of things and nothing seemed to work besides ensembling of XGs.,7,silver,9,Tue Feb 09 2016 02:59:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18831,/competitions/homesite-quote-conversion,15th
/johngunawan,ImportError: No module named cv2,"Hi guys, I'm pretty new to this and maybe this might be an easy question but I can't seem to import cv2 with the code in the tutorial. Any thoughts on how to move forward? I'm running an AWS instance with g2.8xlarge with the NVIDIA software installed. Any help would be appreciated! Thanks, John",0,None,11,Tue Feb 09 2016 03:27:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18832,/competitions/second-annual-data-science-bowl,None
/del=baec042bc066df48,Deadline to enter?,I am just wondering what is the real deadline for entering the competition. The Timeline said it's 08 Feb but another place said it's None. I am asking this because I saw some accounts making first submission after 08 Feb.,2,bronze,1,Tue Feb 09 2016 03:48:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18833,/competitions/prudential-life-insurance-assessment,80th
/niranjanmudhiraj,team up,"hi, anyone interested to join with me.thank you.",0,None,9,Tue Feb 09 2016 04:57:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18834,/competitions/bnp-paribas-cardif-claims-management,186th
/carloshuertas,BNP Paribas Open,"So…, Who do I have to beg for courtesy tickets for this? :D [Link]:http://s8.postimg.org/zc5mthngl/bnp.jpg",7,silver,2,Tue Feb 09 2016 06:07:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18836,/competitions/bnp-paribas-cardif-claims-management,151st
/pythonomic,What is your best single model score and how did you achieve it?,"What is your best single model score and what Feature Engineering techniques you applied? Almost everyone in the top position applied some tricky/nifty feature engineering to nail down this challenge. For example, in the forums, someone mentioned about adding new columns contains count of 0's , 1's etc in each row of data, giving a public LB of ~ .96852. Would appreciate if others can share their tricks and let the forum members and newcomers learn something from this challenge. Thank you.",1,bronze,30,Tue Feb 09 2016 06:10:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18837,/competitions/homesite-quote-conversion,266th
/niranjanmudhiraj,team up,"hi, anyone interested to join with me. thank you.",0,None,2,Tue Feb 09 2016 06:35:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18839,/competitions/home-depot-product-search-relevance,403rd
/niranjanmudhiraj,team up,"hi, anyone interested to join with me.thank you.",0,None,2,Tue Feb 09 2016 06:38:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18840,/competitions/second-annual-data-science-bowl,132nd
/btgraham,Bag of words+logistic regression,"Method: Converted the tables into a set of ""human readable"" notes by substituting diagnosis+prescription+procedure+surgical code numbers for the corresponding text strings, and then converted those sets of notes into a bag of words matrix. During conversion to ""human readable"" form, doctor numbers were left as they were. With the age information I added some summary terms (Age>=30) which group together all age groups including the ages 30+. Some common medical terms may be split up due to the use of different abbreviated/truncated forms in the *_code.csv files. I then did logistic regression and looked for the most positive and negative coefficients. Some of top 'words' describe the patient (i.e. age, state of origin) and some relate to medical conditions (e.g. HIV-2). 'Words' considered: 886779 Coefficient (by greatest absolute value) and 'word': 0.664965284977 GYNECOLOGICAL 0.371531550242 HXROUTINE 0.358472021629 MXROUTINE 0.17124200855 CERVIX -0.161091241031 Age>= 27 -0.143523572608 ethnicity= ALL OTHER -0.130557741228 PREVENTIVE 0.123448227091 VAGINA -0.119661464767 Age>= 30 -0.116566253227 PERIODIC 0.107181716598 COLPOSCOPY -0.105430853845 ANNUAL -0.0981409233614 PA -0.0972861393049 Age>= 39 -0.09582761735 Age>= 33 0.0918852983595 SMEAR -0.0911661388757 EST -0.0910961025684 Age>= 36 -0.090788806317 Age>= 42 -0.0899738589486 ESTABLISHED -0.0866866124607 BOTH -0.0839201340836 Age>= 45 -0.0794774702898 state= Georgia -0.0780856273681 Age>= 48 -0.0765121186857 Age>= 66 0.07585917164 DYSPLASIA 0.0746298470224 EXAMINATION 0.0729283062467 MXPOSTMENOPAUSAL -0.0718673227252 income <=$49K -0.0696591521246 40-64YRS -0.0688761235947 Age>= 54 -0.0685671612414 Age>= 51 0.0679286728803 PAPANICOLAOU -0.0663676552116 state= Maine 0.0654797258654 GLANDULAR -0.0646963533683 Age>= 63 -0.0646884826333 Age>= 57 0.0645063098132 NEISSERIA 0.0644597408 GONORRHOEAE -0.0639366653069 Age>= 60 0.0638734531535 CHLAMYDIA -0.0637187626851 MED 0.0627080421528 NEOPLASMS -0.0620056618687 MXPRE-OPERATIVE -0.059904808105 PRE-OPERATIVE -0.0592167167858 Age>= 69 0.0586993484346 TRACHOMATIS 0.0586392429841 MXBREAST -0.0579801007164 12958306 -0.0569129312848 ethnicity= AFRICAN AMERICAN -0.0550045186314 education=HIGH SCHOOL OR LESS 0.054493147914 BLEEDING 0.0523472334026 CURRETAGE 0.0523472334026 ENDOCRV -0.0521237135802 18-39 0.0519750150948 EXAM -0.0513122086807 RADIOLOGIC 0.0488464910647 PAPILLOMAVIRUS 0.0485597933113 HXPOSTMENOPAUSAL -0.0477160641494 14077855 0.0473283704536 OBSTETRIC 0.0470824194517 12740657 -0.0453042154284 state= Hawaii -0.0450162405014 12745046 0.0450019689237 HIV-2 -0.0446696542228 12700700 -0.0436443081635 ABSENCE -0.0434440802816 VAGINALIS 0.0426009263358 16136450 0.0422988483676 HIV-1 -0.0421727942171 35455291 0.0420504885982 POST -0.0408451892981 12959178 0.0405417398423 ISTHMUS 0.040210715595 state= Oklahoma 0.0397518880525 ENDOCERVICITIS 0.0394155782359 PROBE -0.0393984663563 12887939 -0.0390731726624 state= Rhode Island 0.0388819014891 12851696 -0.0387689395277 27770453 0.0383477414593 SCREENING 0.038202865664 12740279 0.0374199550968 HXSCREENING -0.0374052824686 12915667 0.0373690036432 AMPLIFIED -0.0369960674704 HXACQUIRED -0.0369390189025 HXPRE-OPERATIVE -0.0368604762141 12929769 -0.0368293767756 14078063 0.0366052757844 13006505 0.03646820586 12804562 -0.0359409296241 25143777 -0.0358301492705 NONINFLAMMATORY 0.0356811708861 13099436 -0.0355643599819 FACILITY 0.0349065949241 CORPUS -0.0348588927115 18-39YRS -0.0348460740308 16161837 0.0347578829138 VAGINITIS 0.0347561008808 12945733 0.0347301822508 13022471 0.0346056178396 13251048 0.0343404915407 HXASYMPTOMATIC -0.0338202195158 42010909 -0.0337625611009 state= New Mexico 0.0335542817924 MXDYSPLASIA 0.0335139136895 13045783 0.0334541677208 47857435 -0.0333332502822 26535944 0.0331201673792 STIMULATING 0.0327913853713 NIPPLE 0.032668166675 PERSONAL 0.0326140457886 MXCERVICITIS 0.032548129886 33533681 -0.0324646638976 16956805 -0.0324131369064 16080345 -0.0322245485739 FOLLOW-UP -0.0321461272721 education=SOME COLLEGE or ASSOSCIATE DEGREE AND ABOVE -0.0321130962641 state= Utah 0.0320360879902 CHLAMYDIAL -0.0320005824372 12967374 0.0318796480159 ATROPHIC -0.0317730195813 13173497 -0.0317068624537 12977890 0.0316915281023 DOSE 0.0316182770367 16272103 -0.0316100001296 BIOPSY -0.0315132376839 12725549 -0.0315060121601 29772650 0.0314210588281 OLDER -0.0314127338288 12851775 -0.0312058772313 state= Wisconsin -0.0307778879674 12727160 -0.0306308888338 16490822 -0.030623332872 36050956 -0.0305566885168 16335904 0.0303432110426 14116663 0.0302757711956 COLONY -0.0302239193511 40060980 -0.0302185781556 14180008 -0.0301292873834 GARDNERELLA -0.0299320656416 12762011 -0.0290750732279 12799215 -0.0290639219726 12719978 0.0290282709816 12869044 0.0289857200581 FOLLICLE -0.0289613968241 COLON 0.0288789204995 state= Minnesota -0.028869491854 12887036 -0.0287885336138 47416778 0.0286397879355 AGE-RELATED -0.0284725617504 SPECIES -0.0284248771355 41603534 0.0283838228535 12954765 0.0282749153319 13279663 -0.02826330231 MOUNT -0.0281726237259 13271840 -0.0281670043062 CANDIDA -0.0280611495024 31290070 -0.0280381112009 13055332 0.0279737666282 48849664 -0.0279616114093 14088169 -0.0279417754207 22763195 -0.0278535474578 12825777 -0.0277820126893 21461008 -0.0277051840825 27513045 0.027685914484 MENSTRUATION -0.0276628383004 13172764 0.027651912232 16003472 0.0275906484701 27280503 0.0275355989989 12789158 -0.027522194722 12782355 -0.0275020009495 12844999 -0.0272976739728 12907651 -0.0272701858886 12993264 -0.0272679666261 16491880 0.0272465214404 30055692 -0.0272396689101 29769839 0.0272024272832 13150303 -0.0271290227745 28664165 0.0270195691794 125 -0.0269738483484 13143477 -0.0269706931132 12968097 0.0269379070548 12793115 0.0269020391626 14005110 0.0268920561915 LIPOID 0.02670226961 14061093 0.026686230935 HXLEIOMYOMA -0.0266794544442 30910934 -0.0265806175842 49545711 -0.0265144219132 49953139 -0.026507894465 12799884 0.0264169849656 HAZARDS -0.0264123231909 27517865 -0.0263053488386 UTERI -0.0262719150721 37028157 0.0261974365658 MXMILD 0.0261373024376 14078437 -0.0260849132606 12731660 copy",1,bronze,3,Tue Feb 09 2016 09:56:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18841,/competitions/cervical-cancer-screening,26th
/domcastro,Congrats to new Masters,It was lovely to see the group of well-deserved new Masters in this one. Very pleased for Inversion and Data Geek! Well done,9,silver,1,Tue Feb 09 2016 12:15:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18844,/competitions/homesite-quote-conversion,157th
/cmpsoares,Possible to know the claim categories?,"Hello host, I know this information might not be necessary for certain algorithms, but without this abstraction, a better result can be found. Which is in the interest of BNP Paribas Cardif as far as suppose. In the Description: In this challenge, BNP Paribas Cardif is providing an anonymized database with two categories of claims: claims for which approval could be accelerated leading to faster payments claims for which additional information is required before approval Kagglers are challenged to predict the category of a claim based on features available early in the process, helping BNP Paribas Cardif accelerate its claims process and therefore provide a better service to its customers. Although with the anonymization and no indication of expected result for a given sample, we are limited only to unsupervised algorithms to figure out two main clusters without even knowing which of o the two is what so it eventually ends up being a shot in the dark. In the case of insurance claims, such process can present a significant amount of unwanted risk. Best regards, Carlos Soares.",-3,None,2,Tue Feb 09 2016 12:22:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18845,/competitions/bnp-paribas-cardif-claims-management,None
/romualdj,Possible problem with training volumes?,"In a [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18372/some-cases-are-quite-off-from-the-true-value, [Link]:https://www.kaggle.com/woshialex pointed out that the diastolic volume for study 429 seemed to be significantly larger than the volume given as ground truth. This was also supported by independent manual segmentation by [Link]:https://www.kaggle.com/PaulG. [Link]:https://www.kaggle.com/Julian de Wit noticed that one would get the correct volume if the volume calculation used SliceThickness (8mm) instead of Slice spacing extracted from SliceLocation data (10mm). Since then I noticed something similar in other cases. Here is an example of study 267 frame 29 (EDIT: last frame - files ending with 0030.dcm). I attach a screenshot with the slices and another one with the output of my segmentation algorithm. Below are the areas in pixels of the consecutive slices. slice pixels 1 170 2 428 3 590 4 768 5 880 6 977 7 1081 8 1101 9 969 10 862 copy The volume calculated using SliceLocation and the frustrum formula (from the Fourier tutorial) is 160.7 while the given value is 109.9. If I would calculate it using SLiceThickness I get 160.7*0.8=128.56 which is much closer - it is still too much but this is probably due to bad segmentation in the last slice. However I don't think that the error due to that could be so large as to explain the difference 160.7-109.9. I had similar suspicions about some other studies (with varying degrees of conviction). Is it really the case or I am doing something completely wrong with the segmentation? Could the organizers confirm (or deny) that some volumes were computed using SliceThickness instead of SliceLocation (possibly some program on a specific machine used such a default method?)? If it is so then is it possible to distinguish these cases using some DICOM metadata? If there are such erroneous data then this is a big problem for constructing learning algorithms of any kind… EDIT: Sorry - I used my Python code numbering of frames starting from 0 - so these images correspond to files ending with 0030.dcm [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107375/3651/study267frame29.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107375/3652/study267frame29masks.png",2,bronze,14,Tue Feb 09 2016 14:56:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18846,/competitions/second-annual-data-science-bowl,28th
/oneoff,Computing quadratic weighted kappa in R ?,"Could anyone share script for computing quadratic weighted kappa in R ? I would like to compare result with my own script. Below function which takes as input confusion/error matrix e.g. from output of randomForest function : wkappa <- function(O){ n = nrow(O) W = matrix(0, n, n) for(i in 1:n){ for(j in 1:n){ W[i,j]=(i-j)^2/((n-1)^2) } } x = rowSums(O) y = colSums(O) E = outer(x, y, ""*"") E = E/sum(E)*sum(O) sumWO = 0 sumWE = 0 for(i in 1:n){ for(j in 1:n){ sumWO = sumWO + W[i,j]*O[i,j] sumWE = sumWE + W[i,j]*E[i,j] } } return(1-sumWO/sumWE) } # tests wkappa(diag(5)) wkappa(diag(1:5)) # rf = randomForest(... # wkappa(rf$confusion) copy",0,None,2,Tue Feb 09 2016 15:20:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18848,/competitions/prudential-life-insurance-assessment,1175th
/iamknagesh,Is public and private data sample?,Is public and private data sampled randomly or is it stratified based on dependent variable?,0,None,1,Tue Feb 09 2016 16:04:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18850,None,None
/pythonomic,Lessons learned from this challenge? What to do and what not to do in future competitions ?,"What all lessons you learned from this competition? What went wrong and 3. What you want to improve upon in next competition? Please share your to-do list along with your LB score etc. Thanks in advance. First a big Thanks to organizers for this challenge. It was fun, hope you all enjoyed participating. Let me start by sharing about my experience in this competition. I started very late, 12-15 days before deadline, so my first submission was very late. Next, I did almost no feature engineering, feature importance measurement etc. I'm gong to spend enough time playing with the data before jumping the gun on Algos. My to do list would be: make your first submission as early as possible, even if it happens to be a very basic approach. this will make you understand the problem statement properly and start thinking about more important things like: feature engineering, parameter tuning, ensemble etc spend as much time as possible reading/sharing your ideas on the forums, this is immensely helpful. For instance, I picked up a working script from the forum and used it as my base and later tuned couple of parameters to improve my score. don't directly jump into applying Algos. Spend sufficient time understanding the data, playing with the data, visualizing the data(e.g. use tSNE, PCA etc). This will give you various clues, which will help to re-enforce your ideas/techniques on Feature Engineering, Feature Selection etc down the line. team up as and when possible. In this challenge, barring one, all the top 10 rankers teamed up. Teaming helps straighten your ideas, clear your doubts, and most importantly improve your knowledge and having great fun at the same time. use CV as much as you can, to avoid over-fitting and slipping down in the final private LB rankings. That's my 2 cents . Please do share you ToDos and ideas etc … Btw, my public LB score .96826 and private LB score .96765 . A long way to go and a lot to learn and share with you guys. Thanks a lot.",2,bronze,3. What you want to improve upon in next competition?,Tue Feb 09 2016 18:37:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18851,/competitions/homesite-quote-conversion,266th
/satendrakumar,Feature Engineering of lat-long (x-y) helps,"The following feature engineering applied to X and Y helped me improve my score to 2.24 on public leaderboard. Upon standardizing the raw X&Y coordinates, i engineered these: 1) three variants of rotated Cartesian coordinates (rotated by 30, 45, 60 degree each) 2) Polar coordinates (i.e. the 'r' and the angle 'theta') The approach makes some intuitive sense i.e. that having such features should help in extracting some more spatial information (than relying on the current x-y alone) Rest of my model was quite straightforward: straightforward feat engg. (1. on 'datetime' to get hour, month, year etc, 2. on address to get its WoE, 3. using other raw features appropriately) shallow RandomForest (max_depth = 18 in sklearn) Relevant snippet pasted below…. 1. standard-scale the raw x-y xy_scaler=preprocessing.StandardScaler() xy_scaler.fit(trainDF[[""X"",""Y""]]) trainDF[[""X"",""Y""]]=xy_scaler.transform(trainDF[[""X"",""Y""]]) 2. created features corresponding to alternative coordinate systems x = xcos + ysin y = ycos - xsin trainDF[""rot45_X""] = .707* trainDF[""Y""] + .707* trainDF[""X""] trainDF[""rot45_Y""] = .707* trainDF[""Y""] - .707* trainDF[""X""] trainDF[""rot30_X""] = (1.732/2)* trainDF[""X""] + (1./2)* trainDF[""Y""] trainDF[""rot30_Y""] = (1.732/2)* trainDF[""Y""] - (1./2)* trainDF[""X""] trainDF[""rot60_X""] = (1./2)* trainDF[""X""] + (1.732/2)* trainDF[""Y""] trainDF[""rot60_Y""] = (1./2)* trainDF[""Y""] - (1.732/2)* trainDF[""X""] trainDF[""radial_r""] = np.sqrt( np.power(trainDF[""Y""],2) + np.power(trainDF[""X""],2) )",12,bronze,6,Tue Feb 09 2016 20:24:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18853,/competitions/sf-crime,92nd
/chabir,Saw teeth pattern,"Since I started this competition, I am wondering if there are ways to use the fact that there is a potential saw teeth pattern. I am a beginner, I made some research but I did not find anything. By drawing the histogram of the train response, it look like 7 is a subcategory of 8, 5 sub of 6, 3 of 4 and 1 of 2. Trying to predict 7 and 8 together, 6 and 5, etc, didn't go anywhere for me. I believe the same observation was made in the Liberty mutual competition. Would anybody share any clues? given the ordinal scale nature of the response, is this observation completely irrelevant ?",0,None,7,Tue Feb 09 2016 21:26:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18855,/competitions/prudential-life-insurance-assessment,40th
/benhamner,[Deleted Kernel],Did the logs mention anything interesting about Antarctica?,0,None,1,Tue Feb 09 2016 22:08:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18857,None,None
/ngaude,Jobs at BNP Paris Cardif ?,,0,None,4,Wed Feb 10 2016 00:08:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18859,/competitions/bnp-paribas-cardif-claims-management,14th
/robertq,language model for sentiment analysis,"Here I implemented a statistical language model for NLP classification problem and applied it in this project. This is my first script on Kaggle. Would be great if you guys can figure out problems in the code (if any) or any improvements I can make, and hope this would be helpful for you guys :) Edit: I re-organize my code and make some changes. Hope this time it will be more readable. Thanks for Ben Hamner's idea. I plot top 3 words that help predict the sentiment scores most. From the result, maybe I need to remove more stop words… There is a small bug that I plot an empty graph in the end. Not sure what happens.",0,None,2,Wed Feb 10 2016 00:32:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18860,None,None
/benhamner,Word2Vec Logistic Regression 0.88 AUC,Do you think there's a good way to work inversely from the model based on word embeddings and learn what types of words were most indicative of positive/negative reviews?,0,None,1,Wed Feb 10 2016 01:08:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18861,None,None
/benhamner,Are these Reviews Loyal?,One thing that would make this clearer is to add more descriptive comments to what you're doing and what your plots are showing (e.g. adding some Markdown cells and using those to be more descriptive). You can also remove the boilerplate sample code at the top.,0,None,2,Wed Feb 10 2016 01:10:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18862,None,None
/benhamner,Aliens and the Titantic,What's the connection to aliens?,0,None,1,Wed Feb 10 2016 01:11:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18863,None,None
/juliantagell,Testing the evaluation criteria,"Hi Peeps, Have been trying to understand the logloss function for evaluating our submissions. Looking at the training dataset, where we know which (out of 0, 1, 2) fault severity the various faults were… What if I wanted to evaluate a ""random guessing"" pretend submission? I'm just trying to work out the formula, I would use in Excel to do this. Maybe the Excel file I've made so far, might make things a little clearer. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107466/3663/for testing theories.xlsx",0,None,2,Wed Feb 10 2016 02:49:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18864,/competitions/telstra-recruiting-network,796th
/gabbiey,Indicators in Data,"Hey, I have the same problem too as your earlier post: when I tried to rmarkdown out something, it gives errors like 'no applicable method for 'group_by_'.. I noticed you have successfully export the file. How did you do it? Thanks a lot",0,None,2,Wed Feb 10 2016 04:37:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18865,None,None
/myloginid,xgboost - mlogloss and LB Difference,"Hi, Did any one face a large disagreement between the local xgb.cv using eval_metric = ""mlogloss"" and LB? I get a local CV as below using 5 fold cross validations- train-mlogloss:0.426594+0.002245 test-mlogloss:0.554085+0.014364 However the same in LB gives - 2.46323. Thats a huge variation. I have rechecked the test data prep and its exactly same as the train. Is it that xgboost mlogloss is not matching Eval criteria? Any clues? Thanks, Manish",2,bronze,3,Wed Feb 10 2016 07:02:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18866,/competitions/telstra-recruiting-network,483rd
/mpearmain,Calibrated SGDClassifier,Scores 0.54877 Not great but shows how to add calibration to a model,4,bronze,1,Wed Feb 10 2016 10:07:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18867,None,None
/,,,1,bronze,4,Wed Feb 10 2016 11:02:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18869,None,None
/oneoff,Finding cutoff values with R optim(),"I'm using below code for finding cutoff levels, but this gives me quite poor results : library(Metrics) fgoal <- function(cutoffs){ cutoffs = c(-Inf, ((cutoffs)), Inf) cutted = as.integer(cut(pred, cutoffs, 1:8)) return(-ScoreQuadraticWeightedKappa(cutted, prediction)) } cutoffs = 1:7 + .5 opt = optim(par = cutoffs, fn = fgoal, method =""BFGS"") #, alternatively with different treatment of arguments in `fgoal`: library(Metrics) fgoal <- function(cutoffs){ cutoffs = c(-Inf, cumsum(abs(cutoffs)), Inf) cutted = as.integer(cut(pred, cutoffs, 1:8)) return(-ScoreQuadraticWeightedKappa(cutted, prediction)) } cutoffs = runif(7) opt = optim(par = cutoffs, fn = fgoal, method =""BFGS"") copy is my approach correct ?",1,bronze,10,Wed Feb 10 2016 15:12:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18872,/competitions/prudential-life-insurance-assessment,1175th
/zygmunt,testing,Hello [Image]:https://raw.githubusercontent.com/paulperry/kaggle-cervical-cancer-screening/master/tmp/images/cbsa_map.png Just testing. Mod can delete this.,0,None,1,Wed Feb 10 2016 20:43:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18874,None,None
/zygmunt,Basic insight,"This article is also available at [Link]:http://fastml.com/basic-insight/. Basic Insight Our team - Paul Perry, Elena Cuoco* and Zygmunt Zając - did not discover the leak. We didn't attain a winning score, but on the other hand, the features we used and the analysis we present are not tainted by using that source of extraneous information. This document contains high-level insights. For a more detailed study, see Paul's [Link]:https://github.com/paulperry/kaggle-cervical-cancer-screening/blob/master/cc_Insights.ipynb. * [Link]:https://www.researchgate.net/profile/Elena_Cuoco, as it happens, is part of the gravitational waves discovery team and a co-author of the [Link]:http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.061102. Congratulations! Executive summary We were able to score > 0.88 with a single XGBoost model using just 100 features. It appears that the most important features come from three groups: demographics, general patient activity, and practitioner information. Demographics that matter are location and age, and - to a lesser extent - education level, household income and ethnicity. Patient activity (in the general sense, not referring to the activity table), consists mostly of basic statistics (such as the total number of procedures, number of visits, time between the first and last visit). Practitioner information relates to the doctors - for example, practitioner ID or percentage of screeners among the patients - as well as location, which of course is correlated with patient's location. Feature importance plot Here is the feature importance plot from our best single model showing the details. Click to enlarge. [Link]:http://fastml.com/images/basic-insight/xgboost_best_42.png [Link]:http://fastml.com/images/basic-insight/xgboost_best_42.png The most important features are, in order: (activity) num_procedures - a total count of procedures for a patient (location) cbsa_y - CBSA of primary_practitioner (see the Location section below) (practitioner) phy_practitioner_id - physician who diagnosed a GYN checkup (location) patient_state (location) cbsa_x - CBSA of the most visited practitioner for diagnosis across all diagnoses (activity) visits - total count of visits from patient_activity (activity) num_visits - total count of visits to the primary CBSA (activity) date_delta = last_visit - first_visit number of months in medical from 2008 to 2014 (practitioner) obg_screen_pct - screening % of the OBG (practitioner) obg_id - _primary_practitioner_id with specialty_code in ('OBG','GYN','REN', 'OBS') (activity) V72_date - date of first GYN checkup V72.31 patient_age_group (practitioner) obg_patient_count - number of patients of the OBG A bunch features in the middle of the plot - of form A_2014, R_2014, etc. - are activity counts for a given year (A and R types respectively). Demographics The most important demographics are location and age. We look at those closer. Location Location features include a patient's state and CBSA (see below). [Image]:https://raw.githubusercontent.com/paulperry/kaggle-cervical-cancer-screening/master/tmp/images/states_green.png CBSA stands for [Link]:http://greatdata.com/cbsa-data. Defined by the US government Office of Management and Budget, these are geographic locations neighboring urban areas of at least 10,000 people and/or socioeconomically tied to the urban center by commuting. We matched patient's location with a CBSA code and used that as a feature. [Image]:https://raw.githubusercontent.com/paulperry/kaggle-cervical-cancer-screening/master/tmp/images/cbsa_green.png Age In [10]: train.groupby( 'patient_age_group' ).is_screener.mean() Out[10]: patient_age_group 24-26 71.9% 27-29 70.5% 30-32 67.8% 33-35 65.7% 36-38 64.2% 39-41 62.5% 42-44 60.3% 45-47 58.1% 48-50 55.9% 51-53 53.7% 54-56 51.0% 57-59 49.0% 60-62 46.0% 63-65 40.8% 66-68 34.5% 69-71 28.5% In [11]: train.groupby( 'patient_age_group' ).is_screener.mean().plot( kind = 'bar', color = 'g' ) copy [Image]:https://raw.githubusercontent.com/paulperry/kaggle-cervical-cancer-screening/master/tmp/images/pct_is_screener_by_age_barplot.png One can see that is_screener percentage is strictly declining with each age group. Procedures It appears that if you were to select one data table, procedures offer the most predictive information. Just raw procedure counts by patient and by code allowed us to exceed 0.8 AUC. Therefore, it might be interesting which procedure codes are important for a classifier. We performed a L1 (Lasso) feature selection using Vowpal Wabbit: In [37]: varinfo[['procedure_code', 'procedure_description', 'RelScore']].head( 10 ) Out[37]: procedure_code procedure_description RelScore 0 57454 COLPOSCOPY CERVIX BX CERVIX & ENDOCRV CURRETAGE 100.00% 1 81252 GJB2 GENE ANALYSIS FULL GENE SEQUENCE 96.93% 2 57456 COLPOSCOPY CERVIX ENDOCERVICAL CURETTAGE 95.00% 3 57455 COLPOSCOPY CERVIX UPPR/ADJCNT VAGINA W/CERVIX BX 91.42% 4 S4020 IN VITRO FERTILIZATION PROCEDURE CANCELLED BEFOR 85.76% 5 S0605 DIGITAL RECTAL EXAMINATION, MALE, ANNUAL 83.64% 6 G0143 SCREENING CYTOPATHOLOGY, CERVICAL OR VAGINAL (AN 78.39% 7 90696 DTAP-IPV VACCINE CHILD 4-6 YRS FOR IM USE 76.98% 8 S4023 DONOR EGG CYCLE, INCOMPLETE, CASE RATE 76.67% 9 69710 IMPLTJ/RPLCMT EMGNT BONE CNDJ DEV TEMPORAL BONE 72.06% copy The procedures above are positively correlated of a patient being a screener. Here are the codes that indicate otherwise: In [42]: varinfo[['procedure_code', 'procedure_description', 'RelScore']].tail( 10 ) Out[42]: procedure_code procedure_description RelScore 14337 K0735 SKIN PROTECTION WHEELCHAIR SEAT CUSHION, ADJUSTA -62.48% 14338 34805 EVASC RPR AAA AORTO-UNIILIAC/AORTO-UNIFEM PROSTH -64.68% 14339 L5975 ALL LOWER EXTREMITY PROSTHESIS, COMBINATION SING -65.39% 14340 89321 SEMEN ANALYSIS SPERM PRESENCE&/MOTILITY SPRM -65.51% 14341 S9145 INSULIN PUMP INITIATION, INSTRUCTION IN INITIAL -69.96% 14342 00632 ANESTHESIA LUMBAR REGION LUMBAR SYMPATHECTOMY -77.13% 14343 27756 PRQ SKELETAL FIXATION TIBIAL SHAFT FRACTURE -78.61% 14344 3303F AJCC CANCER STAGE IA, DOCUMENTED (ONC), (ML) -82.77% 14345 23675 CLTX SHOULDER DISLC W/SURG/ANTMCL NECK FX W/MANJ -83.14% 14346 Q4111 GAMMAGRAFT, PER SQUARE CENTIMETER -85.49% copy Complete data and code are available on request.",4,bronze,Executive summary,Wed Feb 10 2016 20:50:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18875,/competitions/cervical-cancer-screening,29th
/esorar,3D visualization with Mayavi,"Just tried Mayavi today and it is impressive but yet able to clearly visualize the heart in 3D. Anybody wants to try, here is simple instructions for Fedora 23: sudo dnf install vtk-python pip install mayavi Assuming you have full set 4 dimension in image as Slice/Time/X/Y: import mayavi from mayavi import mlab // View heart at last time period mlab.contour3d(image[:,29,:,:] , transparent=True) // View time series of first slice: mlab.contour3d(image[0,:,:,:], transparent=True) To play with the coloring you need to biring up Mayavi pipleine from upper right and selet isoSurface and play with choices and observe the changes in rendering.",3,bronze,1,Thu Feb 11 2016 05:44:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18877,/competitions/second-annual-data-science-bowl,39th
/scirpus,Genetic Programming II - LB ~ 0.662,It actually get .665 - this is as far as I dare to go without affecting the leader board - just wanted to beat the linear model ;P,0,None,21,Thu Feb 11 2016 14:57:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18878,None,None
/wcukierski,Welcome (back)!,"Welcome back to the third annual March Machine Learning Mania competition! We extend our thanks to this year's prize sponsor, [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2016/details/about-the-sponsor. Here's the details on this year: The data format remains the same as last year. Prior participants should have no trouble getting up to speed. New this year is the availability of [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2016/scripts for your predictive and visualization pleasure. Try it! No longer does your code have to live in a forum post. The prize pool has expanded and we're offering more places in the money. Prior to the 2016 tournament, we plan to release all submission files as a dataset in our just-released [Link]:https://www.kaggle.com/datasets section. We'll continue the fun throughout the tournament by viewing and analyzing the action there.",8,silver,10,Thu Feb 11 2016 15:08:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18879,/competitions/march-machine-learning-mania-2016,None
/itodorovic,Last minute idea,"Since the end of competition is closing, let me chime in an idea which seems to me to have some value, but I haven't been able to make nothing of it, maybe someone will be able to use it: Simple sort of probabilities doesn't look to be an optimal solution, since the probabilities of all destinations are not equally distributed. Doubling the probability of some minor destination, regarding the smaller mean of that destination, will not have a much effect since it will get hammered by the 0.6 NDF mean or 0.25 US mean. I've tried to save the whole dataframe with resulting probabilities of usual model to disk instead of just picking top five for each user, and for instance here's what it looks like for first 1000 users from test_users: [Link]:http://pastebin.com/Dbh5DxKC You'll notice that nothing ever gets elected to the first place except NDF or US. Save complete dataframe of probabilities of your models and check yourself, all other destinations have so low probability values that they are always lower then NDF, and very rarely raise above the US. This is obviously wrong, but I haven't managed to find a way to do something about it. Tried what seemed obvious to me: to amplify each probability regardign the mean of that column, i.e: prob = prob * (prob / means) to combine the probabilities of several models as input for some completely new model Both methods gave me nothing, but you may make something of this.",0,None,1,Thu Feb 11 2016 16:16:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18880,/competitions/airbnb-recruiting-new-user-bookings,759th
/pixixi,Script to Cook 'sessions.csv',"sessions.csv 10M rows, 6 variables names(dataS) [1] ""user_id"" ""action"" ""action_type"" [4] ""action_detail"" ""device_type"" ""secs_elapsed"" My core idea is: certain behavior in action, action_type,action_detail will have impact on destination. e.g. action of 'pending','booking_request','at_checkpoint' will significantly decrease NDF. last (or last 5~10) action for each user (final row for each id) will have impact on destination. e.g. last action of similar_listing indicates that users are not satisfied before set a deal. last action of tell_a_friend indicates that users are satisfied and willing to refer airbnb to a friend. time spend on website will have impact on destination. e.g. users spend more time on Airbnb will be more likely DF their destination in the end. In order to exclude the size effect, I add a quantile measurement to define sum of secs_elapsed. Summarized session data consisted of: [1] ""id"" ""last_action"" ""SUM(secs_elapsed)"" [4] ""V4"" ""ask_question"" ""pending"" [7] ""at_checkpoint"" ""submit"" ""booking_request"" [10] ""message_post"" ""similar_listings"" ""confirm_email"" [13] ""requested"" After that, I joined the summarized session data with train, test dataset. I used R package of sqldf, plyr, dplyr for the process. Good luck. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107604/3673/airbnb_session.R",1,bronze,9,Thu Feb 11 2016 17:47:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18882,/competitions/airbnb-recruiting-new-user-bookings,433rd
/cucinellamichael,Submitting after deadline,Are we able to submit after the deadline to see where we place even though we are unable to enter the competition?,1,None,1,Thu Feb 11 2016 19:30:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18884,/competitions/prudential-life-insurance-assessment,None
/alexandrudaia,Issue with  xgboost,"I dont recall exactly but I think I installed with pip xgboost last time. I want to use xgboost in sklearn style. I can do : import xgboost as xgb clf=xgb(….) clf.fit(features,label) clf.predict(testfeatures) My problem is I cant retrieve probs in that fashion, and I try to avoid doing xgb.train(xgbmatrixes….) Any suggestions? Tnks!",0,None,4,Thu Feb 11 2016 19:50:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18885,/competitions/bnp-paribas-cardif-claims-management,195th
/jiweiliu,Jiwei & Xueer's insight,"Hello everyone, we publish our insights here [Link]:https://github.com/xuerchen/genentech-insight/blob/master/insight/insight.ipynb We have some more figures and codes to add, will get it done by the deadline. Any comments are welcome :) Edit: we are done : ) insight.pdf only has texts and figure. insight.ipynb has code and everything Edit 2: just clarify a little, by 'removing leak records', we mean removing the claims with missing entries in diagnosis or procedure head, not removing patients who have leak records. Edit 3: in our script, we generate a file including all important features for all patients in training data. The file 'allfeatures.csv' is attached here so you don't need to run the code to get it. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107614/3704/insight.ipynb [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107614/3705/insight.pdf [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107614/3742/allfeatures.csv.tar.gz",6,silver,1,Thu Feb 11 2016 19:50:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18886,/competitions/cervical-cancer-screening,6th
/adjgiulio,Insights by Giulio,"I focused my search on insights that intuitively make more sense from an industry perspective, the type of things I think would be actionable and might suggest areas of intervention. The attached chart shows the relationship between age, target and the number of distinct conditions. These conditions are defined by body part, I've used a custom mapping that maps diagnosis codes to body parts (i.e cardiovascular, mental health, musculoskeletal,…). The hypothesis is that as people get from healthy to chronic and then polychronic, the number of things they have to deal with becomes so overwhelming that basic screenings become less relevant. Imagine you had chronic back pain, a cardiovascular problem, diabetes. You're seeing doctors at all times, spending a fortune on meds and healthcare… maybe getting your pap screening is the last of your worries. The chart seems to confirm that hypothesis. The way colors move from top down, but following an angle, shows the relationship very clearly. Notice how at very young ages the more condition the higher the screening rate, but as you move into 30 years and older the relationship flips. The takeaway: polychronic patients need more help to get their screening than healthy and chronic patients. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107616/3675/Conditions by age.PNG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107616/3676/conditions by age.txt",0,None,4,Thu Feb 11 2016 19:53:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18887,/competitions/cervical-cancer-screening,1st
/michaelpawlus,remove my submission please,"I was trying to put up quick benchmark as a placeholder using my script from last year. I now realize that I used the wins from the tournament in (TourneyCompactResults) to predict win probabilities which seems like a rule violation. I was new at this last year and hurrying through this year. Anyway, you can remove my submission. Sorry about that.",1,bronze,18,Thu Feb 11 2016 21:30:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18889,/competitions/march-machine-learning-mania-2016,551st
/avansp,Patient characteristics & data re-use,"Some questions regarding the Data: What are the patient characteristics of the training & validation data set? Are they all healthy subjects? I saw the range of PatientsAge values from the training data set stretches to 002M (2 months). Does this mean the data include pedriatic cases? How reliable is the PatientsAge DICOM header information? What is the permission of re-using the Data for research / academic purpose outside the scope of this competition? I know that the rules say the Data should only solely be used for this competition, but on this page: [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/data, it says under the Citation heading: The data for the Data Science Bowl is available for research and academic pursuits. Please cite as ‘Data Science Bowl Cardiac Challenge Data’. Thank you.",0,None,1,Thu Feb 11 2016 22:10:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18890,/competitions/second-annual-data-science-bowl,None
/jeffsonas,ADDITIONAL DATA: Team Conferences and Coaches,"In past years, we have received requests to expand the provided contest data so that it incorporates team conferences and team coaches. As these details can change from year-to-year (or even during a season, in the case of coaches) it is necessary to provide conference and coach data for each distinct team season. The conference data is provided in a ""Team Conferences"" data file including all seasons and all teams from 1985 to 2016, with one row for each unique combination of season+team. The ""Team Coaches"" data is a little more complex due to the possibility of midseason coaching changes. It is possible for a single season+team to have multiple data rows, if there was more than person who was head coach of that team during that season. There was even one case of a coach leaving during the season and then coming back after a leave of absence (Lute Olson during Arizona's 2001 season). Each data row indicates the start/end Daynum of a coach's continuous coaching stretch for that team during that season. So most data rows indicate a complete span of Daynum=0 through Daynum=154, for whoever was the head coach the whole season. And there are many cases where one person was coach from Daynum=0 through Daynum=N, and then another person was coach from Daynum=N+1 through Daynum=154. In Lute Olson's case, there is one row covering his stretch from Daynum=0 through Daynum=59, and another covering his stretch from Daynum=77 through Daynum=154, and also for UNLV in 1995 there are three rows because of two coaching changes during the same season. As a general rule, if you want to know who coached a team's game on a particular day, look for a corresponding row in the ""Team Coaches"" file with a matching season+team and with the game's Daynum between first_day and last_day, and read off the coach’s name in that row. Currently the data is only present up through Daynum 94 of the current year, so there are many rows for season 2016 spanning days 0-94. Presumably most of those will eventually span from 0-154, unless there is a coaching change in the next few weeks. Perhaps people can keep that updated by posting on this forum topic; I do not promise to upload a complete file at the end, but I will try to. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107643/3681/TeamConferences.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107643/3682/TeamCoaches.csv",1,bronze,8,Thu Feb 11 2016 23:15:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18893,/competitions/march-machine-learning-mania-2016,86th
/jeffsonas,ADDITIONAL DATA: Geographic Coordinates (teams and tourney sites),"A couple of years ago, some people considered Connecticut to have an advantage in the tournament because their potential path to the final did not involve playing any games very far from their home campus (although tournament games are supposedly at ""neutral"" sites), and in fact they did win it all. I haven't ever looked into this effect myself, so I don't know if the evidence is merely anecdotal or actually solid. In any event, some people do incorporate this information into their predictions, and last year some people provided forum postings with geographical coordinates of team campuses, and tournament game locations, so I cleaned those up a bit and I attach two files here. The ""Team Geog"" file lists out the latitude and longitude of each college team's campus city, and the ""Tourney Geog"" file lists out the host city, and latitude/longitude of that city, for each tournament game since 1985. It is possible there are errors in these files; I haven't used them for too much analysis myself. I was hoping to go through and have it be the actual stadium location, rather than just the city, but I didn't get to that. And the third piece to complete the puzzle, that has NOT been done as far as I know, would be to go through all of the neutral-site regular season games (approximately 10% of games are on neutral sites - see the ""wloc"" column in the regular season results files) and identify a geographic location for those. Maybe someone else can do that, I ran out of time for it this year. I encourage people to upload more useful things to this forum topic, if they pertain to geographical data. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107645/3684/TeamGeog.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107645/3685/TourneyGeog.csv",6,silver,15,Thu Feb 11 2016 23:18:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18895,/competitions/march-machine-learning-mania-2016,86th
/jeffsonas,ADDITIONAL DATA: Seed Round Slots,"The basic contest data files for Tourney Results, Tourney Seeds, and Tourney Slots, are sufficient to tell you all the bracket details from each historical year. Nevertheless, you might still want a shortcut that tells you what Tourney Slot is filled by a historical/potential game. The attached ""Seed Round Slots"" file lists out, for each possible Tourney Seed, what slot they would be playing in, during each possible round they could advance to, and what the possible Daynums of the game would be. This data applies to all seasons, the same way, since it covers all possible play-in seed brackets. So for instance, if you are a #6 seed in the X region, we know that if you make it to a 2nd round game, that game would be on the Saturday/Sunday of the first weekend. By looking for the data rows with a seed of ""X06"", and a game_round of 2, we see that the game would be the slot ""R2X3"", with the earliest possible Daynum being 138 and the latest being 139. By looking through the file for other rows with the slot R2X3, we can see that other teams who could potentially play in that game are X03, X11, X11a, X11b, X14, X14a, and X14b, though not all of them are potential round 2 opponents for X06 (some of them are possible opponents in an earlier round). You should probably only use this file if you have mastered the other Tourney-related files; if you find this file incomprehensible, then focus on Tourney Slots instead. Also note that this ""Seed Round Slots"" file assumes there won't be any play-in games at a seed that is stronger than #11 – this assumption comes from the fact that all play-in seeds in the past have been somewhere between the #11 and #16 seeds. And finally, note that it supports all possible combinations of play-in seeds, so some of the rows will definitely not apply to the 2016 season since it will depend on what slots actually do include play-in teams in the 2016 bracket. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107649/3689/SeedRoundSlots.csv",1,None,1,Thu Feb 11 2016 23:26:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18898,/competitions/march-machine-learning-mania-2016,86th
/jeffsonas,"ADDITIONAL DATA: Massey Ordinals (historical rankings from 60+ experts like Sagarin, RPI, AP, etc.)","One of the most useful resources out there is Kenneth Massey's composite ranking list, which collects together the weekly ordinal rankings of each team from a wide range (sometimes 60+) of sources. With Kenneth's assistance, I have assembled a historical list of these rankings, transformed to our notation with Team ID's and Daynum values. There is a zip file containing all available Massey Ordinals from past years, and I have also included a file for the current season, up through Daynum 94. I am not promising to provide an updated listing of these, as the season proceeds, and of course we can't make any promises about the ongoing status of any websites, but I will try to provide updated versions of this file for the current (2016) regular season, as we get closer and closer to the submission deadline for the contest. I would encourage you to look around on Kenneth's website to get a better understanding of some of these sources for rankings, and also to look around on the Kaggle forums from this year's contest and previous years' contests, to see what people have done with these rankings. Remember that the Daynum listed in the data is generally a Wednesday, which is a conservative measure given that sometimes the rankings are released on a slightly earlier day. I have written about this extensively in previous years. Also note that by ""ordinal"", I mean that each ranking list is just #1, #2, #3, etc. (sometimes with ties) so that you do get an ordered listing of teams, without getting any sense of how wide/narrow the strength gap is between two adjacently-ranked teams. Also note that for some of the systems listed, it goes right up to the wire (or even beyond our submission deadline) before the final pre-tournament rankings as of Daynum 133 are listed on the Massey website. So you might end up needing to use either the rankings from the previous week, or trying to go find them on the external source’s website itself at the last moment. Despite all of these challenges, I definitely recommend that you make extensive use of this data. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107652/3691/MasseyOrdinals.zip [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/107652/3692/MasseyOrdinals2016ThruDay94.csv",4,bronze,26,Thu Feb 11 2016 23:30:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18900,/competitions/march-machine-learning-mania-2016,86th
/piotrgrudzien,Train test split,I'm sorry if someone has already asked this or if I overlooked it in the data description but is the train test split entirely random?,1,bronze,1,Fri Feb 12 2016 13:57:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18920,/competitions/bnp-paribas-cardif-claims-management,1185th
/trottefox,Blending trees,0.46226 on public leaderboard,0,None,4,Fri Feb 12 2016 17:46:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18924,None,None
/rsangole,Introduction to dplyr (Part 2),This was extremely useful! Thanks for putting in the effort!,0,None,2,Fri Feb 12 2016 21:19:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18930,None,None
/dithyrambe,Lots of missing values,Is there an explanation behind the fact that a majority of features present more than 40% missing values ? Maybe some older customers didn't have the chance to be recorded on these features ? Or seems it legit ? Dithyrambe,1,bronze,7,Sat Feb 13 2016 11:21:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18937,/competitions/bnp-paribas-cardif-claims-management,1314th
/rohanrao,Sharing Solution of Rank 23 (0.88625 on Private LB),"For whoever is interested, here's my complete solution: [Link]:https://github.com/rohanrao91/Kaggle_AirBnB Briefly: Built Logistic Regression on one-hot encoded features from sessions data as binary classifier for NDF vs non-NDF. Built XGBoost on raw features, one-hot encoded features from sessions data, the logistic regression predictions from (1), with some basic feature engineering, and combining of features. Didn't do too much of ensembling/blending/stacking since my CV and LB were not perfectly correlating, and hence stuck with these two single models. Plus, didn't have too much time :-) Takes about 20-25mins to run on my 4GB MacBook Air. Thanks to Kaggle and AirBnB for this fun challenge. Congratulations to the winners and special Thanks to everyone who share their ideas, models, scripts, codes and solutions in the spirit of learning and making the Kaggle forums extremely rich in knowledge.",9,silver,7,Sat Feb 13 2016 17:20:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18944,/competitions/airbnb-recruiting-new-user-bookings,23rd
/johngunawan,AWS AMI ,"Hi everyone, I'm not sure if this is allowed or not per competition rules and guidelines, but I was wondering if anyone would be willing to share or allow others to clone their AMI instance with all the programs installed? I'm completely new to the whole AWS world and I'd love to dig into the deep learning side but I feel like I've been climbing a mountain with just trying to overcome the environment issues. Just thought I'd ask :) apologizes if this is taboo! Thanks! John",0,None,4,Sun Feb 14 2016 07:18:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18957,/competitions/second-annual-data-science-bowl,None
/bobbytexas,Negative Defense Rebounds,"The table ""RegularSeasonDetailedResults"" in the sqlite database and csv file has a number of rows with Ldr (defensive rebounds for the losing team) less than zero, which is not possible. Granted, it is only a small number of rows (12) , and will probably not affect anyone's models but I thought I'd bring it to attention. Note there are also a number of rows with Ldr equal to zero, which is technically possible but extremely unlikely.",4,bronze,19,Mon Feb 15 2016 17:38:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18981,/competitions/march-machine-learning-mania-2016,65th
/happycube,Post-competition thread,"(I wrote this before seeing the private LB - where I went up a couple of hundred places, but still lost to a script and missed the top 10%. Kinda embarrassing that!) Post-mortem: Only looked at this last ~2 weeks, after finishing up with Homesite (and while getting over a flu, natch) - but regardless was probably least effective at least on the public LB for any of the competitions I spent real time/energy on, which was frustrating. I only beat my script-kiddie submission on the pLB near the end, and never reached the best public script. Very high LB variance! I don’t think the train/(public LB) test sets were stratified, and the relatively small test set didn’t help with that either. What worked(ish): Using a linear function to remap instead of digitize. This allowed me to blend CV models together for better performance. I believe it was worth .005-.007 on the public LB, although my LB scores were consistently low. Feature engineering - I used A==B==C for one-hots and found a few features that seemed to help. Results were a bit unpredictable, regardless. I wound up adding one potential feature at a time and picking the set with the best results on a 90/10 HB split. I should’ve spent more time on other FE techniques and making an automated way of matching up potential features with expected returns. I did this manually and found one feature ((1 - all_data['Product_Info_4'].values) + all_data['BMI'].values) that seemed to work well. What didn’t: I wanted a good second model of determining if an entry was likely to be <=4. If I had perfected this I would have handedly won by switching between a <=4 and a >= 5 model… which is why it wasn’t really possible. ;) What I ran out of time on: Looking at relative percentages between #’s, at least for analyzing the quality of my OOB predictions. I think all the models were choosing too many 3’s and 4’s relative to the test set. But I think merely being 1 and 2 off wasn’t a big deal. Studying the effects of rounding on OOB scores. My very last submission adjusted the unrounded score to more or less match the rounded score, which may help with overfitting. What I didn’t do at all and should have: Stacking. ;)",6,silver,35,Tue Feb 16 2016 01:01:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18991,/competitions/prudential-life-insurance-assessment,263rd
/ahlmann,Low Tech Approach,"Since not everyone has an Nvidia Titan X lying around, I will try to do my best using the low-tech approach. On the command-line, the ImageMagick tool ""identify"" produces a pretty good image analysis summary to use as attributes for machine learning. This won't be enough to compete with the GPU-fueled deep learning networks, but it may be good enough to make decent predictions… I have attached the output of ""identify"" for all test and train images. Using ""-features 1"" would probably have been valuable, but it would have needed to run for a week, so maybe another time ;) $ identify -verbose -unique 100000.jpg Image: 100000.jpg Format: JPEG (Joint Photographic Experts Group JFIF format) Class: DirectClass Geometry: 500x278+0+0 Resolution: 72x72 Print size: 6.94444x3.86111 Units: Undefined Type: TrueColor Endianess: Undefined Colorspace: sRGB Depth: 8-bit Channel depth: red: 8-bit green: 8-bit blue: 8-bit Channel statistics: Red: min: 18 (0.0705882) max: 255 (1) mean: 153.415 (0.601626) standard deviation: 34.8608 (0.136709) kurtosis: 0.426951 skewness: -0.484113 Green: min: 1 (0.00392157) max: 255 (1) mean: 130.799 (0.512939) standard deviation: 43.828 (0.171875) kurtosis: 0.00125373 skewness: -0.0864707 Blue: min: 0 (0) max: 255 (1) mean: 97.662 (0.382988) standard deviation: 63.4898 (0.24898) kurtosis: -1.12554 skewness: 0.351623 Image statistics: Overall: min: 0 (0) max: 255 (1) mean: 127.292 (0.499184) standard deviation: 48.8778 (0.191678) kurtosis: 0.578313 skewness: -0.538965 Colors: 40399 Rendering intent: Perceptual Gamma: 0.454545 Chromaticity: red primary: (0.64,0.33) green primary: (0.3,0.6) blue primary: (0.15,0.06) white point: (0.3127,0.329) Interlace: None Background color: white Border color: srgb(223,223,223) Matte color: grey74 Transparent color: black Compose: Over Page geometry: 500x278+0+0 Dispose: Undefined Iterations: 0 Compression: JPEG Quality: 75 Orientation: Undefined Properties: date:create: 2016-02-16T01:15:46+00:00 date:modify: 2015-12-15T22:52:42+00:00 jpeg:colorspace: 2 jpeg:sampling-factor: 2x2,1x1,1x1 signature: 4b54297b959ec7fa6901197a3e1174a10e776ce1a662564e615d2c1017aed96a Artifacts: filename: 100000.jpg identify:features: 1 identify:unique-colors: true verbose: true Tainted: False Filesize: 19.1KB Number pixels: 139K Pixels per second: 0B User time: 0.000u Elapsed time: 0:01.000 Version: ImageMagick 6.7.7-10 2014-03-06 Q16 http://www.imagemagick.org copy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108193/3732/test_stats.csv.gz [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108193/3733/train_stats.csv.gz",6,silver,4,Tue Feb 16 2016 02:45:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18992,/competitions/yelp-restaurant-photo-classification,60th
/benhamner,Email Network,"Change plt.show() on line 99 to plot.savefig(""network.png"") for the plot to show up in our system: [Link]:https://www.kaggle.com/benhamner/d/kaggle/hillary-clinton-emails/email-network It looks like the graph needs to be subsampled to be intelligible though.",1,None,1,Tue Feb 16 2016 08:27:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18995,None,None
/chandrasen,Anyone interested in forming a team?,"Hello folks, I am well versed with R and have worked on Python , can pull off easily. Could never dedicate time earlier. Now looking to score well this time. Having a team will boost it further. Need a dedicated team mate. Anyone In? Thanks",2,bronze,13,Tue Feb 16 2016 13:55:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/18997,/competitions/bnp-paribas-cardif-claims-management,1269th
/del=630b6e5b0817f93d,Computing  a particular l.v volume instead of continuous distribution,"I am using a direct method to estimate the l.v volume from each folders, without incorporating any machine learning techniques. Hence, instead of getting a predicted continuous distribution in the form of a sigmoid curve , I am getting a particular volume corresponding to the l.v of each patient in the form of a step function, and then calculating the CRPS based on the given expression. Is there any requirement for the contest to necessarily compute the l.v volume in terms of the continuous distribution function?",0,None,3,Tue Feb 16 2016 14:53:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19000,/competitions/second-annual-data-science-bowl,None
/bohdan,Solution -- 2nd place,"Hello to everyone! It was an amazing experience! Never thought that a simple Linear Regression could be the best :) Main insight: this dataset has no respect to your efforts and overfits whatever you do. So it is better to concentrate on robustness then accuracy. If shortly my final model was the following: 1. Initial Feature Engineering (taken from public scripts): all_data['Product_Info_2_char'] = all_data.Product_Info_2.str[0] all_data['Product_Info_2_num'] = all_data.Product_Info_2.str[1] all_data['Product_Info_2'] = pd.factorize(all_data['Product_Info_2'])[0] all_data['Product_Info_2_char'] = pd.factorize(all_data['Product_Info_2_char'])[0] all_data['Product_Info_2_num'] = pd.factorize(all_data['Product_Info_2_num'])[0] all_data['BMI_Age'] = all_data['BMI'] * all_data['Ins_Age'] med_keyword_columns = all_data.columns[all_data.columns.str.startswith('Medical_Keyword_')] all_data['Med_Keywords_Count'] = all_data[med_keyword_columns].sum(axis=1) all_data.apply(lambda x: sum(x.isnull()),1) all_data['countna'] = all_data.apply(lambda x: sum(x.isnull()),1) copy 2. Next step was to calculate prediction for y=1,2,3,4,5,6,7,8 and y<3,<4,<5,<6,<7. To calculate these probabilities I used an ensemble from one binary:logistic Xgboost, one multi:softprob Xgboost, one Random Forest and one LogisticRegression (I tried a lot of ensembles but they didn't help). So overall it added me 13 additional features. 3. Linear Regression! Here was the place when mystery began! I tried a huge amount of regressors and ensembles of them but they never beat the simplest Linear Regression! That puzzle really got me and made me confused for a few days until I realized that all ""work"" is done during probability calculations. So I decided to concentrate on them hopefully that my model at least won't overfit due to linear model. 4. The function to search for cutoffs. Until last day I used the cutoff function which suggested someone on the forum. It's the one with these code: def apply_offset(data, bin_offset, sv, scorer=eval_wrapper): data[1, data[0].astype(int)==sv] = data[0, data[0].astype(int)==sv] + bin_offset score = scorer(data[1], data[2]) return score offsets = np.ones(num_classes) * 1.3 offset_train_preds = np.vstack((train_preds, train_preds, X_train['Response'].values)) for j in range(num_classes): train_offset = lambda x: -apply_offset(offset_train_preds, x, j) offsets[j] = minim(train_offset, offsets[j], disp = False) copy But then I noticed that it is not monotonic so I changed the function to the simple one: def digit((x1,x2,x3,x4,x5,x6,x7)): res = [] for y in list(train_preds): if y < x1: res.append(1) elif y < x2: res.append(2) elif y < x3: res.append(3) elif y < x4: res.append(4) elif y < x5: res.append(5) elif y < x6: res.append(6) elif y < x7: res.append(7) else: res.append(8) return res def train_offset((x1,x2,x3,x4,x5,x6,x7)): res = digit((x1,x2,x3,x4,x5,x6,x7)) return -quadratic_weighted_kappa(y_train, res) x0 = (1.5,2.9,3.1,4.5,5.5,6.1,7.1) offsets = fmin_powell(train_offset, x0, disp = False) copy In this case the one can get the monotonic cutoffs which is not so overfitted as apply_offset. Actually thats all. A plenty of work but eventually the simplest the best :) P.S. Don't hesistate to ask me any question.",47,gold,26,Tue Feb 16 2016 16:25:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19003,/competitions/prudential-life-insurance-assessment,2nd
/del=baec042bc066df48,When can we expect the results to be finalized?,"The first ""real"" competition at Kaggle and glad that I learnt a lot from it. Just curious when we can expect the results to be finalized. And when we can know the solutions from other top performers, in addition to the currently posted ones.",0,None,2,Tue Feb 16 2016 21:00:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19007,/competitions/prudential-life-insurance-assessment,80th
/davidgasquez,Code Sharing,"Hi, I've made the GitHub repository in which I have been working lately open source and I would like to share with you. I've focused on the reproducibility, scalability and ease of use/understanding, following the best practices, and using modern libraries. [Link]:https://github.com/davidgasquez/kaggle-airbnb I've learned a lot from this competition(my first one), being the most important to know when you are overfitting the leaderboard. The final approach and model are quite simple as you can see in the code. Basically, the preprocessing was to make some statistics from the user secs_elapsed and count how many times they do each action and action_type. Some weird stuff I tried was to add the [Link]:https://github.com/davidgasquez/kaggle-airbnb/blob/master/kairbnb/preprocessing.py#L81 or make an interface to use [Link]:https://github.com/davidgasquez/kaggle-airbnb/blob/master/kairbnb/preprocessing.py#L34. I tried with OvO and some interesting variations( [Link]:https://github.com/davidgasquez/kaggle-airbnb/blob/master/kairbnb/multiclassification.py which I hope to merge in scikit-learn if they accept the pull request) but did not trust my local CV score and discarded this path. One thing I'm proud about is the recourse optimization I did with the processing of sessions.csv being able to down the running time from 1 day to 30 minutes. During the next weeks I'll be trying to improve my code with some ideas I'm gathering around and make a proper documentation with all the steps I took and why I took them(even if they didn't improve the final results). I hope this code can be useful for somebody and, please, feel free to comment and make suggestions, or even a pull request!",9,silver,4,Tue Feb 16 2016 22:30:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19008,/competitions/airbnb-recruiting-new-user-bookings,142nd
/simongabor,1st place solution,"Hello all, here's my writeup. Hope you find it insightful (I certainly did learn a lot in the course of the competition)! Feature engineering: create dummy vars for Product_Info_2 (keep everything else as numeric) calculate sum of all Medical_Keyword columns for each binary keyword-value pair, calculate the mean of the target variable, then for each observation take the mean and the minimum of the keyword-value-meantargets Modeling: for i in 1 to 7: build an XGBClassifier to predict the probability that the observation has a Response value higher than i (for each of the seven iterations, the keyword-value-meantarget variables were calculated for that target variable) for each observation, take the sum of these seven predicted probabilities as the overall prediction this yields quite a bit better correlation with the target variable (and thus good raw material for calibration) than using an XGB regressor Calibration: the aim is to find the boundaries that maximize the kappa score boundaries are initialized according to the original Response distribution of the training dataset then in a step, for all boundaries, possible boundary values are examined in a small range around the current boundary value and the boundary is set to the value which gives the most improvement in kappa (independently of the other boundaries - this was surprising that it worked so well) steps are repeated until none of the boundaries are changed during a step it is a quite naive algorithm, but it turned out to be fairly robust and efficient this was done on predictions generated by repeated crossvalidation using the XGBClassifier combo Variable split calibration: the difference here is that the crossvalidated preds are split into two subsets, based on some binary variable value (eg. a Medical_Keyword variable) of the observations calibration then takes place for the two subsets separately (but with a kappa objective calculated over the entire set), in the manner described above I didn't find an exact rule for picking a good splitting variable (strong correlation with Response seems to be necessary, but does not guarantee a good split), so I tried several (some of which were better than non-splitting calibration, others were worse) for example, some good ones were: Medical_History_23, Medical_History_4, InsuredInfo6 also tried splitting into more than 2 subsets, without much success Ensembling: disregarding the combination of the 7 XGBClassifiers, the only ensembling I did was creating some combined solutions by taking the median predictions of a small number of other solutions Evaluating calibrations: K-fold crossvalidation, but with an important twist: each test fold was ""cross-validated"" again to imitate public/private test set split (the inner crossvalidation had a k of 3 to approximate the 30-70 leaderboard split) this yielded a very interesting insight: given two calibrations with roughly equal average performance (over all folds), if calibration A does better on the public test set, calibration B is very likely to outperform A on the private set (this appears to be a quirk of the kappa metric) accordingly, I picked the solutions which ranked #2 and #5 on the public leaderboard, since these both had very strong average performance in crossvalidation but slightly underperformed on the public leaderboard Final results: as it turned out, despite having the right idea about public/private error, I underestimated some solutions which had relatively weak average performance in crossvalidation but ended up doing extremely well on private I did not select my best private submission for the final two (highest private score was 0.68002) out of my 11 'high-tech' (that is, using all the modeling and calibration techniques listed above) submissions, 5 were good enough for 1st place on the private board, 4 would place 2nd, one would reach 6th, and the worst would yield 7th place (at least I can say that I had no intention of picking any of the latter two) if my calculations are right, randomly selecting two out of the 11 would have resulted in 1st place with a probability of ~72.7 % Gábor",80,gold,16,Tue Feb 16 2016 22:40:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19010,/competitions/prudential-life-insurance-assessment,1st
/wouterd1,Median vs. Mean,"Most scripts take the average for different sax/stack predictions for the same patient. I was originally thinking that a median function would be more robust against outliers. However, at least for me the performance for a median function was significantly worse. Does anyone have an intuition why this might be the case?",0,None,1,Tue Feb 16 2016 23:30:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19012,/competitions/second-annual-data-science-bowl,64th
/wouterd1,Using age and gender data,"i was thinking to use gender and age data to furhter improve the outcomes of the CNN. I was thinking of two approaches, but would love the expertise of those with more experience with stacking. In my first approach, i would build a second regressoin model only using age and gender information to make sys and dias predictions. I would train this on the entire dataset. Subsequently, i would combine the outcomes of the two models (e.g. again with linear regression). Additionally, i was thinking of training a linear regression model on the residual between the CNN-predicted systole and diastole values, and then add the prediction of this regression model to the CNN prediction. These approaches might be identical, and/or might be both be invalid or not smart. I would love to get thougths and guidance of those with more experience",0,None,7,Tue Feb 16 2016 23:34:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19013,/competitions/second-annual-data-science-bowl,64th
/isaacmoore7,Lots of missing data,"How are you guys treating the missing data? There are lots of missing data in this case, will regression work to fill in the missing data? Or can I just delete the rows where data is missing? Your help is appreciated.",0,None,6,Wed Feb 17 2016 00:55:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19014,/competitions/bnp-paribas-cardif-claims-management,463rd
/anton79,Disastrous result,"Congratulation to the Winners! For me it was a disaster. I dropped down more than 600 position and got the worst result than ever before. This LB shake-up was one of the largest I've seen on Kaggle so far. As usual, after deadline I started to check all my unsubmitted models to see how they would have performed had I submitted them. So, I figured that one of my models ( [Link]:https://github.com/AntonUBC/Prudential-Life-Insurance-Assessment), which exploited Michael Hartman's offset idea ( [Link]:https://www.kaggle.com/zeroblue/prudential-life-insurance-assessment/xgboost-with-optimized-offsets/run/133836) got 65th place on the final LB (I must get better in model selection). The solution in short: Construct bumpers using a binary classifier (i.e., 1 vs rest, 1 and 2 vs rest, 1,2, and 3 vs rest, and etc.) Overal, 7 bumpers were added to the data. This idea was borrowed from 2d place solution of CrowdFlower challenge: [Link]:https://github.com/geffy/kaggle-crowdflower). Construct stacked probabilities using a multilabel classifier (XGBoost) Train and ensemble 3 regressors: XGB, RF and ET. Estimate and apply offsets as in the original approach with two substantial changes, however: To reduce the chance of overfitting, offset values were estimated using stacked train predictions (4-fold) instead of the fitted values used in the original script. The initial offset values were chosen based on the discrepancies between test predictions and the distribution of labels in training data estimated at quantile values. This model gives score of 0.67456 and approximately 65th place on the LB.",5,bronze,3,Wed Feb 17 2016 01:21:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19015,/competitions/prudential-life-insurance-assessment,738th
/speculation,3rd place solution summary,"First off, luck was a big factor in this competition so let me try and alleviate some guilt: Qingchen, I'm sorry for edging you out of 3rd place so narrowly. From your post, clearly you put serious effort into building out your ensemble. I know how frustrating it is to wish you'd just built one more tree into a model. Hang in there. Next time the dice could roll in your favor. As for my solution, there are two logical parts. The first part computes class probabilities for each of the eight response levels. The second part maximizes the expected value of the Quadratic Weighted Kappa (QWK) for the given set of probabilities. Class Probabilities: These were computed through stacking, so let me describe from the bottom up. attributes base attributes, number of keywords, a few other things suggested on the forum 2D tnse embedding the 2D embedding generated by a 4096-256-16-2-16-256-4096 autoencoder The first 30-dimensions of a SVD decomposition of the categorical features kmeans clustering with 64 centers quadratic interactions selected by lasso mse regression nodes of a 256-tree 50-node random forest selected by lasso mse regression level 1 models tree based models: 8 xgboost models minimizing: mse, possion, multinomial, mae, tukey, or QWK* loss. knn: 8 k-nearest neighbor models with k from 50-1000 neural nets: 6 neural networks minimizing: mse, mae, multinomial, or QWK* loss linear: 1 lasso mse regression level 2 models both use the level 1 models as inputs multinomial xgb multinomial neural net QWK optimization: Uses the average of the level 2 models as the class probabilities. randomly select a category 1-8 for every test example iterate through the test examples one by one and change each class to whatever maximizes the expected value of the QWK based on the probabilites of the level 2 models. repeat step 2. over the entire test set until convergence is reached submit result *Note: Some of the loss functions are custom implementations. For xgboost these are implemented in C++ and for the neural nets they are implemented in either Keras or Lasagne.",28,gold,6,Wed Feb 17 2016 02:36:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19016,/competitions/prudential-life-insurance-assessment,3rd
/tkeshfa,Evaluation Criteria,"Hello All, I have couple of questions? 1- Does the processing time is part of the evaluation criteria or it is only RMSE? As my script takes a lot of time to generate the feature list from training set. 2- Is there any procedure to enroll on this specific competition ? or just by by working on submitting the the results that would be enough. Thanks in advance, Sherif",0,None,1,Wed Feb 17 2016 04:43:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19017,/competitions/home-depot-product-search-relevance,1017th
/happycube,"Simple CV example (one feature, near-RF)","I felt like making a really simple script to demonstrate setting up and running cross-validation, with a 10% out-of-bag holdout. (If you can make it simpler and/or correct terms for me, I'm all ears :) ) It performs slightly below the Random Forest benchmark… because it uses only the most important feature, v50, and computes and applies the probabilities for ~21 bins of it. It's a rather silly script I guess, but I think it might have useful bits people can use as a starting point.",5,silver,3,Wed Feb 17 2016 05:55:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19020,None,None
/jennifergrelik,Wanting to learn regression formulas!  Only know linear!  Need help!,"I want to learn regression formulas to expand my knowledge in statistics as a data analyst. I know SciKit could probably just do it all for me, but I want to understand how the formulas work for the sake of being a good data analyst. I also want to write these formulas for testing in this competition. I've only learned how to calculate linear regression, using R-square to determine best-fit, residual equation, co-variance, and least square error equation. The linear regression formula follows the format of a simple linear equation: Y = mX + b To calculate the slope for linear regression, I need to calculate the slope and intercept using the means of all the point variables. For slope: m= (X ̅Y ̅- (XY) ̅)/(X ̅^2- (X^2 ) ̅ ) This forum didn't handle the mean symbols very well as they're suppose to be directly over the letters, but it's: m = ((mean of X)(mean of Y) - (mean of XY))/((mean of X)^2 - (mean of X^2)) The mean of X, Y, XY, and etc would be all the means of the variables of points being used to calculate the regression. So the mean of all the variables of X, mean of all the variables of Y, mean of the X and Y variable in a point calculated together, and etc. After finding the regression slope, I can then find the regression intercept: b = Y ̅- mX ̅ b = (mean of Y) - m*(mean of X) I've learned the linear regression formula, determining how good of a fit it is using R-square and the other relevant formulas from Khanacademy, but linear regression was the furthest it taught in terms of regression modeling. I'd now like to learn how to calculate the best logistic regression model using a set of variables, also polynomial regression, and any other regression models that might be important for me to learn. Also, would I have to change how I find the polynomial regression model if it was quadratic or a degree of 3? My knowledge in algebra has flaked a little since I haven't really needed to use it since the start of college, so I'm not sure if it matters. I guess I need to re-look at these old algebra formulas, so posting the original equation format for each regression formula would be appreciated. (For example: the linear equation format used for linear regression). I've tried understanding logistic regression from wiki, but it uses new symbols that I'm not used to: [Link]:https://upload.wikimedia.org/math/5/6/f/56fc4a24b7084ff8f218aaeb5bfe1c4e.png So what I made out from the wiki the B0 would be the intercept of a linear regression and B1 would be the regression slope, so if I were to find the linear regression first and then plug it into exponential function of the logistic formula, I would find the logistic regression model? Would this mean the formula is the same as this? F(x) = 1/(1 - e^-(b + mX)) Any help would be appreciated!",0,None,3,Wed Feb 17 2016 06:31:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19021,/competitions/titanic,None
/benhamner,Exploration Ideas,This data's complex and nuanced. Here's some open questions and exploration ideas to help you get started with it: How do plan rates vary across state? How do plan benefits vary across state? How did plan rates change from 2014 to 2016? How do plan benefits relate to plan rates? How do plan rates vary by age? How do plan rates vary with additional family? How do plan rates vary between smokes and non-smokers? How do plans vary across insurance network providers? How can you analyze one source of variation in this data while controlling for the others? Have more questions? Have answers? Add them to this thread! (And link answers back to supporting scripts and analyses).,8,None,3,Wed Feb 17 2016 07:55:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19023,None,None
/masterliu,Why GridSearchCV doesn't select the best params?,"parameters = {'objective':['multi:softprob'], 'learning_rate':[0.1], 'n_estimators':[100], 'subsample':[0.5], 'colsample_bytree':[0.5], 'max_depth':[9,11,13]} grid = GridSearchCV(xgb.XGBClassifier(), parameters, scoring='log_loss', cv=5, n_jobs=-1) grid.fit(X, y) print grid.best_params_ print grid.grid_scores_ Here i used GridSearchCV to search the best max_depth, the result tells me 11 is the best, but its LB score is worse than 9, i'm not sure what's wrong, is it because i set scoring to log_loss, because GridSearchCV scoring only have log_loss option?",0,None,2,Wed Feb 17 2016 07:58:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19024,/competitions/telstra-recruiting-network,213th
/godata,Combined user and session data,Were these your parameters for your final submission?,0,None,1,Wed Feb 17 2016 08:05:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19025,None,None
/ajayram,"How to improve test accuracy score with Random forest, Feature Selection?","Hello, I am Ajay Ramaseshan, I have just started off on my journey in Machine learning and Data mining and Kaggle. I have tried the this tutorial from Datacamp. [Link]:https://www.dataquest.io/course/kaggle-competitions I am using Scikit learn in Python I have tried these as predictor variables and have got the following results : predictors = [""Pclass"", ""Sex"", ""Age"", ""SibSp"", ""Parch"", ""Fare"", ""Embarked""] Linear regression with thresholding ( if a regression value > 0.5 output 1 survived else output 0 not survived) - I got score of 0.77199 Now since this is a classification problem and not a regression problem, I expected a classification algorithm like logistic regression or random forest classifier to work better. But I got lower scores. Logistic regression - 0.75120 and Random Forest - 0.75598 Then in the tutorial it talks about feature engineering and feature selection, After the feature engineering and feature selection followed according to that tutorial, I selected these 4 best features - predictors = [""Pclass"", ""Sex"", ""Fare"", ""Title""] Note : Title is a new feature engineered. Now I tried random forest with the new set of features and got a score of 0.77512 slightly more than the earlier one, but still not good enough. Why is the score so low? and why is it improvement so small? Should I try to tune the parameters of random forest? What are the parameters and how to tune them? Should I try ensemble methods ? Is there anything that I am missing - like better feature engineering, better machine learning algorithms etc. And I had another doubt, the Titanic data set is quite small, so there are chances of overfitting? So when should I move to another problem? Should I look at solving another problem like the handwritten digit recognizer etc? What should the next steps be? Could someone please advice? Ajay",1,None,2,Wed Feb 17 2016 08:22:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19026,/competitions/titanic,None
/tobiri27,Download raw private Leaderborad data,"If you scroll down to the end of the public leaderboard, there is a small text 'Download raw data'. By clicking it you can downlad a csv file of the historized public leaderboard progression. The same text stands below the private leaderboard, after a competition has finished. But if you click it, you download the same file as clicking the link under the public leaderboard. My question: Is it possible to get a similar progression file for the private leaderboard? It would be intersting to see how the public leaderboard encourages overfitting and how the leapfrog plots look like in comparision.",5,None,4,Wed Feb 17 2016 10:08:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19027,None,None
/ferris,Does Kaggle pick the last submission or the best public LB one as final?,"Hi everyone, If I didn't select any submissions for final evaluation, which submission will kaggle take? It's kind of funny, since I just finished a match without knowing which one gave me the final private LB… lol Many Thanks",1,None,3,Wed Feb 17 2016 13:52:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19028,None,None
/florianm,Description of CNN solution [83.3%],I wrote a little post describing my solution. This method is popular for most image classification tasks here on kaggle. It's very powerful and will serve as a good starting point for future competitions. [Link]:http://florianmuellerklein.github.io/cnn_streetview/,10,bronze,7,Wed Feb 17 2016 16:11:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19030,/competitions/street-view-getting-started-with-julia,None
/wcukierski,Cheaters Removed,"We have removed suspected cheaters from the leaderboard. If your team was removed from the leaderboard and you believe it was in error, you may email [Link]:mailto:compliance@kaggle.com to plead your case. You should include an explanation for your statistically improbable similarities to other teams. As Kaggle gains popularity and we spend more time dealing with machine learning renegades, we plan to increase measures to deal with rules violations. The traditional punishment for multiple accounts or private sharing has been removal from the competition leaderboard. Clear evidence of cheating and/or repeat offenses may now earn a full account block. As always, thanks to those who play by the rules!",13,gold,7,Wed Feb 17 2016 16:24:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19031,/competitions/prudential-life-insurance-assessment,None
/del=baec042bc066df48,SMS verification question,"I just thought of this question although it might not take place in the foreseeable future. I am just wondering if the phone for SMS verification has any mapping connections to the account. More specifically, what if in the future I change my phone number? How do I update the phone number?",0,None,2,Wed Feb 17 2016 16:38:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19032,None,None
/del=c51e56a4390ec5b2,Verification through Phone Number,"To be able to make a submission, Kaggle requires authentication through mobile phone number. Now am I a person who doesn't like to give my phone number to a random company for purposes that are vague (verifying that you are the person can be done through e-mail, they don't know whether the person behind the email is the same as behind the phone number). So my question is: ""Is there a workaround for this?""",0,None,2,Wed Feb 17 2016 17:03:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19035,/competitions/ti2736-c-2016,88th
/pythony,How good do you need to be to get a data science job without an education,Typically how good would you have to be at data science to get a data science job without an education (compared to someone with an education); because 90% of the ds jobs in my area say you need a STEM qualification?,3,bronze,9,Wed Feb 17 2016 17:28:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19036,None,None
/taffeylewis,It's all fun and games until you get blown up...,Came across this article that puts a very human face on the consequences of poor model validation. [Link]:http://arstechnica.co.uk/security/2016/02/the-nsas-skynet-program-may-be-killing-thousands-of-innocent-people/?utm_medium=nl&utm_source=internal&mkt_tok=3RkMMJWWfF9wsRokuq%2FKeu%2FhmjTEU5z17OwtWKa2lMI%2F0ER3fOvrPUfGjI4FSsNjMa%2BTFAwTG5toziV8R7LMKM1ty9MQWxTk,4,bronze,2,Wed Feb 17 2016 18:55:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19037,None,None
/deerishi,Accuracy using XGBOOST and CV Score,"Hi everyone, I applied XGBoost on the train set and did a 5 fold cross validation , I got 73% accuracy and 0.54 as Test loss on the validation set. However when I submit the results I git a LB score of around 9. Currently my train set is simply one row per training example and I treated all the features except Volume as Categorical. Is it normal to have such a mismatch of score on the LB?",0,None,4,Wed Feb 17 2016 21:45:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19039,/competitions/telstra-recruiting-network,505th
/benhamner,Name vs Salary Graphs,"Add a call to plt.savefig(job+"".png"") on line 82 to save the outputs, e.g. [Link]:https://www.kaggle.com/benhamner/d/kaggle/sf-salaries/name-vs-salary-graphs",1,None,1,Thu Feb 18 2016 03:28:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19042,None,None
/jturkewitz,Showing competition place in forum,"Sometimes when I hover over someone's name in the forum it shows their competition place, while other times it does not. Any reason for the inconsistent behavior?",4,bronze,1,Thu Feb 18 2016 04:34:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19044,None,None
/sudhuvvmn,How to work on this competition in R,Hi I am not sure as to where to start on this competition. Could someone suggest any R material which can help me to get started on this competition. Thank you!!,0,None,7,Thu Feb 18 2016 07:17:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19045,/competitions/home-depot-product-search-relevance,None
/cs2104,Id in test.csv,Can someone explain me what id field is ? I can not understand…,0,None,2,Thu Feb 18 2016 09:49:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19047,/competitions/home-depot-product-search-relevance,821st
/mjstoik,xgboost - what actually is a 'linear booster'?,"Hello everyone, I'm not quite sure whether this is a proper forum and section to ask, but what forum can be better for this kind of question than Kaggle?! I believe most of you (if not all) know the fantastic xgboost library/package. According to the documentation, there are two types of boosters in xgboost: a tree booster and a linear booster. My question regards the latter. I consequently fail to find any detailed information regarding linear booster. I fail to find any information about ""linear boosting"" in terms of gradient boosting. What I mean is the information about the mathematical background of the problem or any materials/documentation/articles that would help me understanding how the linear booster works. There are lots of it with regard to tree booster but seems to be very little/none with regard to linear booster. Therefore I kindly ask for any materials/information regarding linear booster. Thanks, Stoik",14,bronze,7,Thu Feb 18 2016 10:33:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19048,None,None
/pogodinstas,GradientBoosting: 0.47119,My first Kaggle submission ever. Score: 0.47119 Will try to increase this score,0,None,1,Thu Feb 18 2016 10:35:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19049,None,None
/mightybird,R replacing NAs in a vector with different values?,"Hi, I have the problem that I want to insert a series of values into the places where a vector contains NAs. v1 = c(1,2,3,NA,NA,10,11, NA) vrepl = c(4,5,12) resultDesired = c(1,2,3,4,5,10,11,12) copy Any solution? This problem occurs with the mice package when I calculate impute values. The function just returns the imputed values and not the complete vector (original + imputed values). mice.impute.2lonly.mean(y=df$values, ry=observed, x=as.matrix(names), type=c(-2)) copy Any idea there? Thanks Gerhard",0,None,1,Thu Feb 18 2016 11:40:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19050,/competitions/bnp-paribas-cardif-claims-management,530th
/adrianprv,Random Forest questions,"If I want to add a new feature(column) to random forest input, is it better to have less or more possible values? Like some score, should better be 1,2,3 or go wider like 1,2…8,9, to influence the prediction more? How can I make a random forest input feature (column) count more than others? For example number of query words in titles to count more than some other score? I was thinking to add this column twice but not a great idea. If I compute some scores feature having real values and I want to map these to integer values required by random forest input, there is a better algorithm than rounding the values to integers? Thank you very much",1,bronze,2,Thu Feb 18 2016 12:18:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19051,/competitions/home-depot-product-search-relevance,257th
/gyurisc,decision trees - what are they?,"I am sure this is not the right place to this, but are there any nice tutorials that are explaining what decision trees are and how they should be used? Thanks for all the help.",0,None,7,Thu Feb 18 2016 12:23:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19052,None,None
/yosan1,Will I be able to work with the dataset without downloading it?,"I discovered Kaggle few days ago and was very excited until today. Today, I discovered that the size of the datasets are in thousands MB. Which makes it impossible for me to download the datasets. With a limited data plan of 2 GB; 3g downloading speed; unreliable electric power, it is almost impossible for me to download the data sets! So is there a way to be able to compete in competitions that use lage datasets without downloading the datasets? Note: Transferring money to any foreign country from Ethiopia is not allowed! So I can’t use paid cloud services.",4,bronze,3,Thu Feb 18 2016 13:21:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19053,None,None
/shannonlantzy,FYI: Reddit AMA with the Principle Investigators today at 1PM EST,[Link]:https://www.reddit.com/r/science/comments/46eglm/science_ama_series_we_are_drs_michael_hansen_and/,5,silver,1,Thu Feb 18 2016 14:03:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19054,/competitions/second-annual-data-science-bowl,None
/ahlmann,data visualization,"Below data visualization of the training data set. I merged severity_type directly into train, as it has unique entries per id. Note: volume was 'log'ed Clearly the visualization isn't great yet. category-to-category should be mosaic charts, scatter plots should be hexplots, etc. but I do what I can ;). I'd be very interested to see other people's data visualizations and how they created them (pandas, ggplot, etc.) fault_severity 0 = green fault_severity 1 = blue fault_severity 2 = red event_types + severity_type + train [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/3743/et.png resource_types + severity_type + train [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/3744/rt.png log_feature + severity_type + train [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/3745/lt.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108587/3743/et.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108587/3744/rt.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108587/3745/lt.png",8,silver,1,Thu Feb 18 2016 15:25:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19055,/competitions/telstra-recruiting-network,452nd
/skthedataguy,XGB basic (lb~0.667),"Hi, can you explain me the 'response order' in line 80. Thanks",0,None,5,Thu Feb 18 2016 15:35:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19056,None,None
/beedata,dffffff,"Hi, I'm a novice here but really interested in these competitions. I'm currently a MS student major in Data Science in UMN. Could I get your email or other contact information? My emaill: [Link]:mailto:lixx4699@umn.edu",0,None,1,Thu Feb 18 2016 17:24:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19058,None,None
/del=c51e56a4390ec5b2,Team,Do you need to create a team to participate or is that not necessary?,0,None,2,Thu Feb 18 2016 18:35:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19060,/competitions/ti2736-c-2016,88th
/akguryanov,Dictionaries.csv,В разделе данных отсутствуют словари с расшифровкой закодированных признаков.,0,None,2,Thu Feb 18 2016 19:37:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19061,/competitions/cmc-msu-machine-learning-spring-2015-2016-dota-competition,18th
/benhamner,Nice Graphs + Wordcloud,Nice graphs! One way to extend this would be to add more commentary.,1,bronze,1,Thu Feb 18 2016 21:37:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19063,None,None
/jettyy,Feature Engineering : CV vs LB,"After coming to know that a lot can done through feature engineering,you tried several features and get some good gains in CV[5-fold]. Interestingly ,these gains are not getting reflected on the test data. so,its obvious that your model is either learning noise or memorizing the data. Things tried, Location Clustering based on Fault Severity level : CV : ~0.49 Test set :0.518 Using prior information[fault severity] on Location: CV : ~0.43 Test set :0.65 Clustering the categorical features for event_type,Log_features and resource _type and generating aggregated features for each cluster using cosine similarity and Kmeans. CV : ~0.50 - 0.511 Test set :0.5166 Have to check with row wise feature generation,dimensionality reduction (PCA,tsne) ,atleast that way will get to know the latent features. After seeing scores with 0.41,0.42 on LB,so certainly there is a way out there. Any suggestions [with in the competition guidelines] from experts would be welcome!",1,bronze,6,Thu Feb 18 2016 21:48:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19064,/competitions/telstra-recruiting-network,243rd
/gospursgo,The best performance of a single model,"Just being curious, how far can you guys go on the leader board with a single XGB/random forest/ neural network etc.",2,bronze,48,Thu Feb 18 2016 22:04:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19065,/competitions/bnp-paribas-cardif-claims-management,716th
/delgermurun,Minus score,"Hello everyone, I am new to ML. Maybe my question is too obvious. I'm using sklearn's GridSearchCV with scorer = metrics.make_scorer(metrics.log_loss, greater_is_better=False, needs_proba=True) this scorer. Cross validation gives me -0.82X score. What does it mean? There is no below zero score on LB. metrics.log_loss gives same answer on sample from [Link]:https://www.kaggle.com/wiki/MultiClassLogLoss Thank you.",0,None,2,Fri Feb 19 2016 01:04:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19066,/competitions/telstra-recruiting-network,704th
/siwei0818,data exploration,"Hey there, I encountered the same problem and tried different ways but still couldn't solve it. How did you fix it eventually? Thanks in advance.",0,None,1,Fri Feb 19 2016 04:28:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19069,None,None
/benhamner,Exploration Ideas,Here's some exploration ideas to help you get started with the data: What candidates within the Republican party have results that are the most anti-correlated? Which Republican candidate is Hillary Clinton most correlated with based on county voting patterns? What about Bernie Sanders? What insights can you discover by mapping this data? Have answers or other exploration ideas? Add your ideas below and share your insights through [Link]:https://www.kaggle.com/benhamner/2016-us-election/scripts!,0,None,1,Fri Feb 19 2016 09:02:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19071,None,None
/benhamner,Additional Data Sources,"Have additional data sources that you'd like to add to this dataset? Post your ideas below & we'll work to add them & update this data! You can also [Link]:https://github.com/benhamner/2016-us-election to the code repo used to create the dataset. For example, one data source that'd be useful to add is clean and consistently formatted county-level demographic information for counties across the US.",0,None,25,Fri Feb 19 2016 09:05:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19072,None,None
/wwang2,Load 284.bmp,"Not sure if I am the only one.. when I load 284.bmp using: img=load(""./trainResized/284.Bmp"") copy It gives an error like this: WARNING: OSX reader: indexed color images not implemented copy Anyone has encountered this?",0,None,5,Fri Feb 19 2016 10:12:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19074,/competitions/street-view-getting-started-with-julia,None
/ssb9703,Is 8 cores and 16 gigs enough?,"I am new to this, and data science just got done with a ML class and wanted to get more practice with Kaggle. I have tried a few algorithms, but for most of them, my setup stays in the uninterruptible sleep state. I am running 8 cores with 16gigs of mem. Is that enough? do I just need to let it run for a few days? I am trying to spot check a few algorithms , but unless I reduce the dimensions severely, or use a very very small training set, I get stuck in that sleep state I mentioned earlier. Suggestions other than buy more memory would be nice ( cash is tight until I get my tax refund).",0,None,7,Fri Feb 19 2016 15:50:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19076,/competitions/bnp-paribas-cardif-claims-management,2878th
/florianm,Image processing times with skimage,"Hello everyone. Are people are using skimage for their data augmentation? If so, what are some reasonable processing times. My augmentation takes about 230 seconds per iteration which is really killing me! I'm using the transform._warps_cy._warp_fast() function which I know was faster about a year ago but I was wondering if that changed or if there is a faster way now? Thanks to all and good luck in the final stretch of the competition!",0,None,4,Fri Feb 19 2016 16:35:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19077,/competitions/second-annual-data-science-bowl,34th
/darraghdog,HomeDepot Data Ex,This is cool ! thanks for sharing…,1,bronze,8,Fri Feb 19 2016 17:22:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19078,None,None
/wouterd1,Re-slicing,"Many of the tutorals talk about rescaling and rotating. However, one could probably also re-slice DICOMs to align the 3D orientation across stacks. I am new to medical imaging, so please interpret in this context: Does it make sense to reslice and align patient orientation? Or would you inherently lose a lot of data and/or this is not the right way to think about it?",0,None,4,Fri Feb 19 2016 17:29:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19079,/competitions/second-annual-data-science-bowl,64th
/carissas,Public data now available on AI2 website,"HI everyone! We've assembled a collection of elementary school level and 8th grade level science exam questions from publicly distributable sources to share with the community. Please find these new data sets on our [Link]:http://allenai.org/data.html. (A reminder that the data used in this particular competition was specially licensed for use in this competition only, and should not be otherwise redistributed or used now that the competition is over.) AI2 is committed to producing more resources and additional challenges for the AI community related to the research we are engaged with; you'll be seeing more from us later this year!",4,bronze,3,Fri Feb 19 2016 18:17:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19080,/competitions/the-allen-ai-science-challenge,None
/arfoss,Varying Image sizes for different slices,This may be answered elsewhere but I can't find a reference to this issue on the forum. Why do many cases have different image sizes for some slices in the case? Is it because they were re-taken/resized for the same slice positions? Usually I find 2 different images sizes (haven't seen more than 2) - e.g. case 442. Most samples do seem to have the same image size. This differing sizes is complicating any efforts to process these images across slices. Thanks! Arvind,1,bronze,7,Fri Feb 19 2016 19:17:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19081,/competitions/second-annual-data-science-bowl,None
/rdizzl3,Looking for team members :),"Hello all, I am interested in forming a team! If there are members still interested in forming a team please let me know! :) I am currently working on this competition in R using the XGBoost package. I am also fluent in Python.",0,None,4,Fri Feb 19 2016 20:07:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19082,/competitions/bnp-paribas-cardif-claims-management,218th
/rdizzl3,Best Practices for Parameter Tuning on Models,"Hello all! I have been reading and keeping up with the forums and there have been some reports of obtaining very nice results on single models (XGBoost, Random Forest, etc.). I am still relatively new to the vast world of machine learning. What are some of the best practices for finding optimal parameters on models? I know of grid search, random grid search and also knowledge from experience, but I am wondering if there are other available methods and what members have gained from experience? :)",6,bronze,23,Fri Feb 19 2016 20:14:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19083,/competitions/bnp-paribas-cardif-claims-management,218th
/peterthiem,Beginner problem with xgboost - bad scoring - > 8,"Hi, I'm a beginner, please help me a little if you can, I'm stuck trying to get a good score with xgboost. As far as I can tell I've got a reasonable feature table (with 450 or so columns), like others have mentioned. And I've used xgboost, as per examples around the internet, and it seems to work for me for titanic and iris examples. But my LB score is ~8.5 and my own test train split score scenarios score the same. Whereas, others seem to think mlogloss scores of < 1.0 are easy without much feature engineering. My training log output looks like this: [0] train-mlogloss:0.913813 test-mlogloss:0.919721 [1] train-mlogloss:0.803077 test-mlogloss:0.814890 [2] train-mlogloss:0.728292 test-mlogloss:0.746540 [3] train-mlogloss:0.675499 test-mlogloss:0.698356 [4] train-mlogloss:0.637193 test-mlogloss:0.662499 copy My cross training output looks like this: [0] cv-test-mlogloss:0.922067+0.004271 cv-train-mlogloss:0.912391+0.002127 [1] cv-test-mlogloss:0.819725+0.007790 cv-train-mlogloss:0.801063+0.002515 [2] cv-test-mlogloss:0.751397+0.009436 cv-train-mlogloss:0.725861+0.002749 [3] cv-test-mlogloss:0.704261+0.009767 cv-train-mlogloss:0.672146+0.003003 [4] cv-test-mlogloss:0.670184+0.009929 cv-train-mlogloss:0.632776+0.002914 copy When I use the model on the test data set, I get a LB score of 8. With various train_test_splits, I get the same sort of log outputs (training output mlogloss < 1.0 and my cv score of 8+ and accuracy of 73%). (I calculate my cv score using some [Link]:https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow/forums/t/2644/multi-class-log-loss-function/14446#post14446 I copied from another topic on kaggle) Is it correct to think those output log mlogloss scores shown above look as expected for a good model? And should the output log mlogloss also approximate when submitted for a LB score? I've checked the feature table against the raw data, and checked that the order of the elements are all correct throughout the prediction process, and not sorted incorrectly as best I can. I've tried lots of different parameters for xgboost. Has anyone seen this sort of problem before? Any ideas what could be wrong? And am I even on the right track? (It could be something really simple, as I am not familiar with xgboost before now). P.S. using Window, xgboost 0.4.0, python 2.7",1,None,13,Sat Feb 20 2016 00:15:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19084,/competitions/telstra-recruiting-network,216th
/hswater1,How to read csv files generated in other script?,"I'm using Kaggle Script to run a Python script. It takes longer than 18 mins, so I separate it to several pieces, and each part generates a csv file. ex: df_part1.to_csv('part1.csv') My problem is how to load the csv file generated by previous parts. I tried df_part1 = pd.read_csv('part1.csv'). it doesn't work.",0,bronze,2,Sat Feb 20 2016 07:09:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19086,None,None
/pauljurczak,Acquisition Time vs. Instance Creation Time,"I noticed that there are several timestamps in DICOM files provided for this competition, specifically there is Acquisition Time and Instance Creation Time. Study #520 sax_8 files IM-13849-0001.dcm and IM-13849-0030.dcm have the same Acquisition Time equal to 094435.102500, but different Instance Creation Time: 094441.390000 and 094441.312000. What does this 78ms time difference represent?",0,None,1,Sat Feb 20 2016 09:26:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19087,/competitions/second-annual-data-science-bowl,113th
/ciroel,Validation/Holdout size,"How much is your validation/holdout size? I used portions from 0.05 to 0.20, but my model is still unstable and depend on a random seed. I think it caused by small number of train samples and unbalanced classes.",0,None,2,Sat Feb 20 2016 12:57:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19088,/competitions/telstra-recruiting-network,398th
/gau2112,Can not submit my file,I am not able to find the submit button for this competition.I was looking to practice on this dataset. How can I submit my files?,4,None,1,Sat Feb 20 2016 14:15:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19089,/competitions/hivprogression,None
/drbryan,"Database of NCAAB Point Spreads, 2010-2015","Every year I tell myself I'm going to do this competition; this time I'm finally doing it. Prof. Lopez and Matthews won the [Link]:http://arxiv.org/abs/1412.0248 in part thanks to a database of point spreads from Covers.com. Here's a database of what I could find easily on that site, along with the MATLAB scraping code. I manually added in the team codes, and columns are separated by tabs (not commas). Enjoy! FAQ: Ugh, MATLAB? Yeah, so? Whatever, it's what I'm comfortable with, shut up. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108844/3747/parse_single_ncaab_date.m [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108844/3748/covers_ncaab_data_mt.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108844/3749/covers_ncaab_scraper.m",7,silver,7,Sat Feb 20 2016 14:32:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19090,/competitions/march-machine-learning-mania-2016,None
/gunner4life,Error on submission,"Hi, I am facing an error while submitting my file. Please see attached file for reference. Tried twice, increases submission count. Can anyone help? Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108846/3750/Error.jpg",0,None,3,Sat Feb 20 2016 15:57:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19091,/competitions/bnp-paribas-cardif-claims-management,60th
/tyronecragg,Is there a magic feature in the data?,"I'm struck by the distribution of scores on the leaderboard, where a large group of people are sitting around the 0.48-0.51 mark, and then there's an explosion where scores plummet and an elite few have managed to get all the way down to around the 0.41 mark, with not much in-between. This leads me to think that there something hidden somewhere within the data that causes a huge improvement in score and has resulted in this strange phenomenon. Can anyone confirm whether I'm correct, and if so, provide a tiny nudge in the right direction? ;)",4,bronze,156,Sat Feb 20 2016 18:46:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19092,/competitions/telstra-recruiting-network,51st
/meirelon,Hillary Email Word Clouds,[Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/108860/3751/HillaryWordCloud.png,1,bronze,2,Sat Feb 20 2016 20:26:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19093,None,None
/mlwohls,Leaderboard ELO Examples around 0.40 Scores,"I was peaking at the leaderboard and was trying learn from some of the submissions in the ~0.40 score range. Many of them have linked Kaggle code and most of them are using a very similar implementation of the ELO rating system. As I was reviewing it, it looked like the ""training data"" for the ELO system being employed was the actual Tournament Results (including the 2012-2015 seasons). No ""sour grapes"" at all, I'm just wondering if I'm missing something? Thanks for the feedback. Loving this competition so far. MLW",1,bronze,4,Sat Feb 20 2016 22:17:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19094,/competitions/march-machine-learning-mania-2016,62nd
/viccrome,Amazon EC2 - for or against?,"Anyone use EC2 consistently and recommend it? Anyone tried it and hated it? Just browsing some of the tutorials it is unclear how buggy it is or how much work to set up. Ideally I would be looking to write an iPython notebook on my PC and then hand over to EC2 to ""churn and burn"" faster and with more flexibility for size and complexity. I've seen people refer to doing that but not sure how practical it is. Also, one last. The spot pricing is so much less than on demand what is the downside? Is it too intermittent to be useful for a long running algorithm? Any thoughts / experiences would be appreciated.",1,None,11,Sat Feb 20 2016 22:50:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19095,None,None
/apartmentguru,Python Data Visualizations,"Thanks for the cool visualizations, you should be ashamed that you're so talented. haha. :)",33,silver,186,Sun Feb 21 2016 01:24:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19096,None,None
/inspector,Logic to create local test set,"Do people tend to try and mirror the test set distribution relative to the training set when setting up a local test set? For example, it seems that we should train on 30% of the data and use 70% for a test set where the test set has 58% of its search terms that were not seen in the training set. Anyone doing something like this? How about trying to replicate this with a CV? Any ideas?",0,None,11,Sun Feb 21 2016 01:41:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19097,/competitions/home-depot-product-search-relevance,425th
/aikinogard,How to deal with out of range prediction,"I find some prediction of my model is larger than 3 or smaller than 1. Currently, I just set them to 3 or 1. I am curious on other kagglers' methods to deal with those out of range prediction. Maybe shrink the whole prediction range into 1-3 instead of cut two ends?",1,bronze,3,Sun Feb 21 2016 02:23:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19100,/competitions/home-depot-product-search-relevance,44th
/eunheeko,Data usage for research,"Hello, I wonder if I can use the Expedia dataset for my academic research. I saw the administrator's answer in this forum saying that the data set can be used for research with some restrictions (""Yes, you can use it in your research but it is subject to the same restrictions as specified in the rules of the contest (e.g. Expedia competitors cannot use/analyze it"") and wonder if it is still effective. Thank you for your answer in advance.",0,None,3,Sun Feb 21 2016 05:44:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19101,/competitions/expedia-personalized-sort,None
/mahdiman,Handling High Variance In XGBoost,"I'm using xgboost to build my model, validation error keep decreasing until certain value (~0.466) then it start to increase. what xgboost parameters I need to change in order to solve this problem?",0,None,1,Sun Feb 21 2016 11:22:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19103,/competitions/bnp-paribas-cardif-claims-management,1097th
/bhavesh123,test_script_1,"I am getting the following error while running this in python 2.7.6 --- Features Set: 0.12 minutes --- Fitting 2 folds for each of 1 candidates, totalling 2 fits [CV] rfr__max_features=24, rfr__max_depth=30 ……………………. /usr/local/lib/python2.7/dist-packages/sklearn/pipeline.py:497: UserWarning: Multiprocessing-backed parallel loops cannot be nested, setting n_jobs=1 for name, trans in self.transformer_list) [CV] rfr__max_features=24, rfr__max_depth=30 ……………………. /usr/local/lib/python2.7/dist-packages/sklearn/pipeline.py:497: UserWarning: Multiprocessing-backed parallel loops cannot be nested, setting n_jobs=1 for name, trans in self.transformer_list) An unexpected error occurred while tokenizing input file /usr/local/lib/python2.7/dist-packages/sklearn/decomposition/truncated_svd.pyc The following traceback may be corrupted or invalid The error message is: ('EOF in multi-line statement', (6, 0)) An unexpected error occurred while tokenizing input file /usr/local/lib/python2.7/dist-packages/sklearn/decomposition/truncated_svd.pyc The following traceback may be corrupted or invalid The error message is: ('EOF in multi-line statement', (6, 0)) JoblibValueError Traceback (most recent call last) /home/kiran/kaggle/the_home_depot/model2.py in () 251 param_grid = {'rfr__max_features': [24], 'rfr__max_depth': [30]} 252 model = grid_search.GridSearchCV(estimator = clf, param_grid = param_grid, n_jobs = -1, cv = 2, verbose = 20, scoring=RMSE) --> 253 model.fit(X_train, y_train) 254 255 print(""Best parameters found by grid search:"") /usr/local/lib/python2.7/dist-packages/sklearn/grid_search.pyc in fit(self, X, y) 802 803 """""" --> 804 return self._fit(X, y, ParameterGrid(self.param_grid)) 805 806 /usr/local/lib/python2.7/dist-packages/sklearn/grid_search.pyc in _fit(self, X, y, parameter_iterable) 551 self.fit_params, return_parameters=True, 552 error_score=self.error_score) --> 553 for parameters in parameter_iterable 554 for train, test in cv) 555 /usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/parallel.pyc in call(self, iterable) 810 # consumption. 811 self._iterating = False --> 812 self.retrieve() 813 # Make sure that we get a last message telling us we are done 814 elapsed_time = time.time() - self._start_time /usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/parallel.pyc in retrieve(self) 760 # a working pool as they expect. 761 self._initialize_pool() --> 762 raise exception 763 764 def call(self, iterable): JoblibValueError: JoblibValueError",1,bronze,2,Sun Feb 21 2016 13:01:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19105,None,None
/brandao,Research groups of Winton,"Dear organizers, In the "" [Link]:https://www.kaggle.com/c/the-winton-stock-market-challenge/details/prizes"", we can read: ""In addition to the prizes above, we’ll invite any winners to meet members of our research groups in Oxford, London, New York, San Francisco, Hong Kong, Shanghai or Zurich dependent on their location."" Will it happen? I am really expecting this opportunity. To be honest, my main objective in this competition was not the money prize, but the consequences with a good result. Best regards",3,bronze,3,Sun Feb 21 2016 18:08:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19107,/competitions/the-winton-stock-market-challenge,2nd
/sakvaua,Retraining on full dataset (XGBOOST),Hi guys! So let's say I used xgboost with an earlystopping option and a validation set of 20% and determined that I reach the lowest loss after say 1000 iterations after which my validation loss starts increasing. So are there any rules of thumb for retraining the model with the full dataset? I assume that training for the same number of iterations is a safe bet but can I go higher by 10%? 20%? without overfitting?,0,None,14,Sun Feb 21 2016 20:16:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19111,None,None
/ababacaryoro,Log loss meaning,"Looking at the formula of the log loss, it reminded me the log likelihood function for a binary regression. And in principle, the objectif should be to maximaze this function. So my question is why, in terms of rank, the higher your logloss is, the worst is your rank??",0,None,3,Sun Feb 21 2016 20:17:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19112,/competitions/bnp-paribas-cardif-claims-management,2600th
/taffeylewis,Actual participant count,"This year's competition, with the scripts for the first time, brings up an interesting question: how many people will actually end up playing in stage 2? Understanding the difference between the two stages has always been kind of an issue for people new to the challenge, and I suspect a LOT of new people who have been ""trained"" to look for script submission buttons will get burned once stage 2 rolls around. As I recall, the leaderboard gets wiped clean for stage 2, so the final count will depend on the # of people who actually submit viable predictions. 2013: 248 teams in stage 2 2014: 341 teams in stage 2 2015: ???? Without script-chasers, I would have predicted > 400 teams this year given previous years participation and how many people have already joined this year. However, given the proportion of people using script results so far, reality may be less than 2014 count?",0,None,10,Sun Feb 21 2016 21:19:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19113,/competitions/march-machine-learning-mania-2016,27th
/cedricsimar,Submission File difficulties,"Hello everyone, This is our first submission to a kaggle challenge and we have some difficulties to understand and implement the Continuous Ranked Probability Score requested for this challenge in a Python program. Would anyone have some time to shed some light on it for us? Your help will be greatly appreciated! Thanks in advance, Cédric",0,None,7,Mon Feb 22 2016 06:19:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19114,/competitions/second-annual-data-science-bowl,None
/glebmikh,what exactly is a CV score?,Could someone please explain what is a CV score and how can I calculate it using python? Thanks you in advance.,2,None,8,Mon Feb 22 2016 07:33:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19115,/competitions/telstra-recruiting-network,359th
/petergeoriev,energy landscape of multi classification energy based model,"Hello all, i would like to ask what is the shape of energy function multi classification energy based model - if we want to classify numbers form 0-9: The energy landscape has 10 valleys on different places of the surface - each valley represent number of from 0-9. If we get new sample it the new sample is placed near some of the valley and using gradient descend we get move down to the valley of the number - and we classified it as that number. copy or For each possible y we compute different landscape - for 1 we compute landscape where the 1 is the deeper valley and other numbers has not so deep energy holes. We examine the compatibility of the new sample with all landscapes (for all possible 10 landscape ) copy So basically we have single landscape with 10 valleys or we have 10 landscapes (each for possible discrete result - y) Thank you all!",0,None,1,Mon Feb 22 2016 09:28:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19116,None,None
/brackethacker,Stage II deadline,"The Final deadline to submit 2016 predictions is Wednesday, Mar 16 (11:59PM UTC). I wonder why that time was selected and not Thursday, Mar 17 (12:00PM EST)… so we could include all games played up to the start of the NCAA Tourney in our models. With the current deadline, we will not be able to include any games played on Wednesday night.",0,None,2,Mon Feb 22 2016 11:41:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19117,/competitions/march-machine-learning-mania-2016,94th
/chandrasen,May I get some clue of the algorithm being used by under 50 Rankers. ,"Hi guys, I have been trying xgboost with various combination of params, but I am not able to improve my score. Would it be possible for Rankers to share about the methods which they are adopting? Thanks",1,bronze,28,Mon Feb 22 2016 17:41:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19121,/competitions/bnp-paribas-cardif-claims-management,1269th
/alvaroosvaldo,Medical question: Black dots are the valves ?,"Hi, in the images I see strange black dots. It's strange because the MRI create the image by the magnetic echo of hydrogen ions, and i think the black dots means there is no hydrogen. For example, in the image attached from study 1, sax_8. These black dots are the valves ? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/109025/3756/strange black dot.jpg",0,None,4,Mon Feb 22 2016 18:40:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19122,/competitions/second-annual-data-science-bowl,None
/varunpathi,Scope for Predictive Analytics,What is the scope here for performing predictive analytics ? I see we just have issuer data in here and we don't know how each plan sells or how many consumers are interested in the plans . As for now i feel we can only come up with what more can a issuer offer. Please let me know if any one has any other ideas in here.,0,None,2,Mon Feb 22 2016 19:28:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19123,None,None
/xjiang,Anyone tried neural networks and deep learning?,Has anyone tried neural networks and deep learning? I have some initial trials but they are not learning at all. Any ideas?,1,bronze,32,Mon Feb 22 2016 20:02:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19124,/competitions/bnp-paribas-cardif-claims-management,2117th
/ralston3,"Handling the ""Address""?","Just wanted to see if anyone had any tips for handling the ""Address"" column in the training set. Various ideas I've had: Remove the integers Change ""ST"" to ""STREET"" (so on and so forth) Remove stop words? (primarily the word ""of"" in this case) Only keeping the keywords ""ST"", ""AV"", or ""BLOCK"" Only keeping ""integer, name, and type"" (e.g., 1800 SAN MARCO ST) The addresses in general seem pretty scattered but I'm sure there is a way to make them more insightful. Has anyone else had any other stabs in the dark with the Addresses?",0,None,2,Mon Feb 22 2016 20:44:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19125,/competitions/sf-crime,658th
/gunner4life,Stuck at .468,"Hi, I have to say I am getting a little impatient at this. Till now I have tried the following approaches. Simple RF Random feature space separation -> RF on each -> RF on second stage including original features and results from 1st stage Added inverse of data and interaction terms based on importance matrix I know most people are going with xgboost, but I wanted to get some sort of improvement by adding features and stacking before moving on to xgboost. Any help would be much appreciated. Thanks",1,bronze,1,Mon Feb 22 2016 21:01:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19126,/competitions/bnp-paribas-cardif-claims-management,60th
/millerintllc,"Same photo, multiple businesses","Could someone help me understand why the same photo would be submitted for many different businesses? I understand there could be duplicate photos and random mistakes of all kinds, but this seems to be a common occurrence. If each business ID is a unique business, then why would the same photo be valid for multiple businesses? Here's an example: photo_id business_id 1: 133794 0w6cx 2: 133794 3d4ec 3: 133794 3wa7e 4: 133794 5ukiq 5: 133794 ai20u 6: 133794 hbli6 7: 133794 texnt 8: 133794 ub7bx 9: 133794 uphoy 10: 133794 zq5am copy",0,None,3,Mon Feb 22 2016 21:29:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19127,/competitions/yelp-restaurant-photo-classification,206th
/ianxxiao,Setting Up Reliable CV,"Hey guys, I am trying to set up a reliable local CV that resembles the LB so that it can provide better direction to my features engineering and model tuning. Wondering if someone can shed some light on: 1) My local CV performance is quite inconsistent with LB. For example, my CV (using XGB and Lasso Log Reg) shows improvement in AUC or LogLoss with new features and model parameter, but my actual LB score drops by 60%. Anyone open to share some good practice? 2) My hypothesis for a potential causes is that there isn't enough training data to play with. I have ~260 training data points with close to 200 features. Model training quality decreases due to dimension issue (# of training data vs # of features) as I introduce more features and save a portion of training data for CV. I've tried to do a bit of feature selection to limit the feature amount, but it hasn't been super helpful. So I am not 100% if my hypothesis is right, thoughts? Or it could just be my feature selection sucks :) Thanks & have fun competing, Ian",2,bronze,8,Mon Feb 22 2016 21:45:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19128,/competitions/march-machine-learning-mania-2016,None
/alvaroosvaldo,NVIDIA: CUDA works in SLI ? ,"Hi, I have not found the answer in the CUDA Zone, not even a consensus in the forums NVIDIA CUDA toolkit works with two or more GPUs in SLI ? If works, what improvement I gain ?",0,None,4,Mon Feb 22 2016 22:36:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19129,/competitions/second-annual-data-science-bowl,None
/rdslater,BNP Correlation & Predictions,"Thank you for this. I don't know about others, but when I struggle, it is very helpful to view others code and learn new methods to do things we are struggling with--for the beginner in these competitions--this is invaluable!",3,bronze,3,Tue Feb 23 2016 01:37:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19131,None,None
/wedward,Slavery research,"Great code, and I spend hours to make the code run on my laptop, because I did not run nltk.download() first , after I install nltk package.",0,None,1,Tue Feb 23 2016 08:59:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19132,None,None
/sharmiroy2015,Feature Engineering for Beginners,"ALERT - I'm a complete beginner and I think the hints given on other feature engineering thread is not clearly understood by me (and maybe other beginners). Some hand holding will help in understanding these. . Therefore, my sincere request to the kaggle masters to provide some more hints, tips, references on feature engineering for a classification problem in general. . I copied the hints from the other thread and added question related to these 1) Create histograms for categorical variables and group/cluster them. Question: Can someone tell based on what attribute we should cluster and what benefit it gives? . 2) Use Vowpal Wabbit (vw-varinfo) or XGBoost (XGBfi) to quickly check two-way and three-way interactions. , Question: Not sure what it is. As a beginner could not figure out much from the tutorial link. Some more hint will help. . 3) Use statistical tests to discard noisy features (eg: select k best with ANOVA F-score), Benford's Law to detect natural counts (great for logtransforms). . Question: Any package in R is recommended here ? . 4) Manually inspect the data and combine features that look similar in structure (both columns contain hashed variables) or expand categorical variables that look like hierarchical codes (""1.11125A"" -> 1, 111, 25, A). . Question: Not sure how it works for this problem. . 5) Use (progressive/cross-)validation with fast algorithms or on a subset of the data to spot significant changes. . Question: What is this and how to do this ? . 6) Compute stats about a row of data (nr. of 0's, nr. of NAs, max, min, mean, std) . Question: Other than sum of NAs, others did not show significance . 7) Transforms: Log, tfidf . Question: Does such transformation require for tree based models like XGboost ? 8) Numerical->Categorical: Encoding numerical variables, like 11.25 as categorical variables: eleventwentyfive . Question : Does this refer to ""bucketing"" or binning ? I tried cutting manually but did not see any improvement. Any package in R that helps ? . 9) Bayesian: Encode categorical variables with its ratio of the target variable in train set. . Question: Any package in R that helps ? . 10) Reduce the dimensionality / project down with tSNE, MDA, PCA, LDA, RP, RBM, kmeans or expand raw data. . Question: Tried PCA but saw no improvement. Infact, the performance degraded because I selected 80% variance. . 11) Genetic programming: [Link]:http://gplearn.readthedocs.org/en/latest/examples.html#example-2-symbolic-tranformer to automatically create non-linear features. Question: The link provided is little too difficult for a beginner. Is there any other newbie tutorial ? Any package in R ? . 12) Recursive Feature Elimination: Use all features -> drop the feature that results in biggest CV gain -> repeat till no improvement . Question: Did not understand the concept. Any link/package/reference ? . 13) Automation: Try to infer type of feature automatically with scripts and create feature engineering pipelines. This scales and can be used even when the features are not anonymized. . Question: Did hierarchical Clustering and found similar features but did not know what to infer or what to apply from it. .",15,silver,20,Tue Feb 23 2016 08:59:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19133,/competitions/bnp-paribas-cardif-claims-management,None
/sharmiroy2015,Blended Ensemble - Why it never works for me ?,"ALERT - I'm a beginner. I'm doing the following process: . . 1) Break the train data in train_a, train_b (50:50) . 2) Create 3,4 relatively weak models (rpart, c50, rf) on train_a and predict train_b and test . 3) Using original train_b + predicted values from these models, I fit a more powerful model like XGBOOST and try to predict test. .. Problem is accuracy of blended model is always worse than one singe XGBOOST on the entire train. Any help/hint/reference material will be greatly appreciated. Thank you.",2,bronze,12,Tue Feb 23 2016 09:06:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19134,/competitions/bnp-paribas-cardif-claims-management,None
/vandanapu,Lets Look at Correlations,"Hi, when running g.map(sns.barplot, 'County', 'FractionVotes'); and g.map(sns.barplot, 'County', 'Votes'); I am getting below message as output. seaborn.axisgrid.FacetGrid object at 0x000000000 I am using python 3.5.1 IDLE shell, windows 7 enterprise is my operating system. Can you please explain?",1,bronze,5,Tue Feb 23 2016 11:42:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19135,None,None
/light94,Seed Benchmark - data.table in R,"Thanks a lot for sharing this [Link]:https://www.kaggle.com/wacaxx. I am trying to implement this in python and am having trouble understanding the logic in line 53-55, can you please explain it?",0,None,2,Tue Feb 23 2016 12:13:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19136,None,None
/khaoticmind,Use of SVM,"Has anyone successfully used SVM in this competion? I've tried using SVR (from scikit-learn) and despite trying various kernels, various hyperparameters and normalizing the data I could'nt get any good results (RMSE around 0.52, in my CVs, while with various tree models I'm getting about 0.47 low). Did any one could get any better results?",0,None,9,Tue Feb 23 2016 13:12:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19137,/competitions/home-depot-product-search-relevance,234th
/del=e3ac8f59843a1e84,"ADDITIONAL DATA: player per year; manager per year, ...","Dear All, I've found a very interesting data source from [Link]:http://www.basketball-reference.com/ There one can see for each player a variety of information … including their wages and all their statistics… for example see hereafter [Link]:http://www.basketball-reference.com/players/b/bryanko01.html Unfortunately, the data access policy prevents a crawling approach and therefore would be great if one could have their data ""voluntarily"" contributed to this competition. I've contacted them, however I doubt that will be fast enough… perhaps SAP could support this process and get that data ?",0,None,1,Tue Feb 23 2016 14:11:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19138,/competitions/march-machine-learning-mania-2016,None
/del=e3ac8f59843a1e84,Analysis of basketball through objective evidence,"The Association for Professional Basketball Research ( [Link]:http://apbr.org/) has a great discussion board devote to the scientific discussion of analysis of basketball through objective evidence, especially basketball statistics [Link]:http://apbr.org/metrics/ There are currently 18723 posts … with plenty of interesting datasets and papers… I wonder if that community knows about this competition ! I hope so !",2,bronze,2,Tue Feb 23 2016 14:36:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19141,/competitions/march-machine-learning-mania-2016,None
/jiteshanand,Logistic Regression - need suggestion on code,"Hi All, I am new to machine learning and this is my 2nd algorithm after Naive-Bayes. Can someone please review the code as I am not getting the desired output and guide me if possible. PFA file for code. Thanks a lot. J [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/109150/3758/LogisticRegression.txt",0,None,2,Tue Feb 23 2016 19:46:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19143,None,None
/ouranos,Lasagne NN,"This Lasagne neural network script gives 0.47792 on LB. Tune dropout0, dropout1, hidden0, hidden1 locally for higher score",2,bronze,8,Tue Feb 23 2016 22:10:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19145,None,None
/engrstudent,Bias in withheld sample,"I have some, I think, stunning fits of the training data that result in poorer than my best scores. (Decent CV, hold-back, robust, clever.) Of course I could make an error, anyone can. If I were kaggle (I'm not) and I wanted to be clever (or sneaky) then I would put bias in the split between public-private scoring sets, such that over-training on the public score there results in a lower score in the private set. It would also require confidence on the part of the contestant to take a higher public score and submit it as a final set. So how bad of an idea is it, if I have some decent confidence in my ""bad"" scoring results, to select it instead of my top two best public scoring submissions? Suggestions?",0,None,3,Tue Feb 23 2016 22:48:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19146,/competitions/telstra-recruiting-network,712th
/biagio90,Ability&knowledge vs ComputationalPower,"Hi Kaggler! I'm new in data science and I already love kaggle for the challenges and the passionate and active community. I started last week my first challenge San Francisco Crimes classification and, thanks to the forum, I already learn a lot about getting information from the features, which seems to be the most important part. However, I noticed that more or less everybody end up on the same implementation of the features. This means that the difference between one score and another is the computational power available. I know quite something about machine learning and I can tell that having the instruments gives a huge boost to the performances, especially nowadays where we have neural nets and ensembles of every kind. For this challenge it's fine, I'm doing it for knowledge, but when I will start with serious challenges, should I worried about the hardware? Should I rent a cloud computing server? What is common for those challenges? I actually have quite powerful servers in my university and a GPUs cluster, but if I use it I feel like cheating. What do you think? It will be nice to have a discussion.",0,None,1,Wed Feb 24 2016 00:27:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19149,None,None
/randyjp,Is the hidden Markov model appropriate for this problem? ,"I'm very new dealing with HMM and I'm still confused with the predictive power capabilities of the algorithm and I would really appreciate if someone can point me in the right direction. I'm trying to use this implementation [Link]:https://github.com/hmmlearn/hmmlearn but it could be anything in R or Python. I have the statistics describing the performance of baseball players for the last 5 seasons(2011-2015), The data consists of the name of the player(string), season(only year), and several other columns with continuous values. Is it possible with this algorithm to model the data and predict a players performance in the coming season? In other word predict those continuous values mentioned before .If the answer is yes I would appreciate any material that could help me understand this subject like papers, sample code or other libraries.",1,None,3,Wed Feb 24 2016 01:39:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19153,None,None
/yuansen23,standardize predictors ?,"how important is it to standardize all numerical variables ? I guess lots of algorithms (PCA, SGD) have this default prerequisite .",1,bronze,4,Wed Feb 24 2016 06:48:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19157,/competitions/bnp-paribas-cardif-claims-management,2483rd
/sayantan,"XGV CV, Local / Holdout CV and LB - Am seeing relatively big difference","I have created local holdout validation set to test results locally (20% of training set). I am using XGB.CV to do a check of 5 fold cross validation results. My local Validation results (~0.461) on holdout is similar to the xgb CV test results (~0.463). However the same submitted to Kaggle score in the range of ~0.472. I am new to ML and Kaggle, but still I have not noticed this type of behaviour in few past competitions I had entered. Usually they are close. Anyone else seeing similar behaviour. If I am not asking too much can some of you kindly share your local CV results and LB results. Thanks and regards Sayantan",0,None,3,Wed Feb 24 2016 10:43:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19159,/competitions/bnp-paribas-cardif-claims-management,1025th
/markajoc,[Deleted Kernel],"I really think this is a better benchmark than the ""all 0.5"" one!",0,None,2,Wed Feb 24 2016 13:49:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19161,None,None
/ljw1001,search competition listings,"You should be able to search for competitions that are, e.g. classification problems, or from a specific industry, or dealing with imaging data, etc. Text searching on the description fields for each competition would go a long way.",0,None,1,Wed Feb 24 2016 14:07:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19163,None,None
/kippinei,Exploratory Analysis - R,Just as a disclaimer: I'm still learning R and most of my methods/analytical approaches are very rudimentary so if you have any comments or suggestions I'd be very happy to hear them!,0,None,7,Wed Feb 24 2016 17:04:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19164,None,None
/gau2112,Error in Handling dates variable in train data,"I was converting Dates variable given in training data to as.posixlt() format. That is I was separating hour,minute,second from Dates Variable. But In conversion, I am getting a series of NA values. Can Someone help me in solving this? Screenshot of my code and output is uploaded. Thanks. :) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/109275/3770/14.png",0,None,1,Wed Feb 24 2016 19:40:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19166,/competitions/sf-crime,667th
/tonygracious,Submission Error,"ERROR: Column 'submission2.csv000644 001750 001750 00015005077 12663376274 014133 0ustar00tonytony000000 000000 id' was not expected (Line 1, Column 1) ERROR: Required column 'id' could not be found. I am getting the above error when I am submitting my predictions. Can anyone help me in solving this?",0,None,2,Wed Feb 24 2016 20:01:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19167,/competitions/home-depot-product-search-relevance,334th
/antgoldbloom,Explore SF Salary Data,"Nicely done and fun writing style. One additional conclusion is that real data is messy :). Big Data Borat captures it best: ""In Data Science, 80% of time spent prepare data, 20% of time spent complain about need for prepare data."" [Link]:https://twitter.com/BigDataBorat/status/306596352991830016",2,None,13,Wed Feb 24 2016 20:43:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19168,None,None
/natethomp,# of Variables in Real Life Models,"Hello, This is a question for those out there working in data scientist roles within your organizations. How many variables in acceptable to use within models that are going to be deployed in production for marketing or other purposes? The reason I ask is this, we have four analysts, two of whom have been with the company for 10 years, and two of us who are recently graduated with our Masters in Predictive Analytics. Our senior analysts primarily build with linear / logistic regression models, and think that using the least amount of variables (regardless of technique) is always best, usually trying to use around 10-15 variables. Us newer analysts work primarily with random forest and xgboost, and are comfortable using 100-800 variables in our models. I havnt encountered anything to say that using this many variables in random forest or xgboost should cause any concern, but we cannot come to an agreement. Can anyone provide any information regarding this topic that might help shape our decision making progress? Thank you, Nate",0,None,2,Wed Feb 24 2016 21:18:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19169,None,None
/raddar,betting odds data,"Just wanted to ask if using this: [Link]:http://www.oddsportal.com/basketball/usa/ncaa-2009-2010/results/#/page/2/ would be against the rules? I'm planning to use last minute betting odds for my submissions and just want to comply with the rules On the same topic, has anyone found older than 2009 season betting odds?",0,None,2,Wed Feb 24 2016 21:32:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19170,/competitions/march-machine-learning-mania-2016,482nd
/sdsufan,The magical 0.411801,"Looking at the Leaderboard, it seems around 75 people received a score of 0.411801. I am just curious how so many people are making the same predictions. Obviously, most people seem to cheating in this first stage in the sense that they are probably building a model using data not available at the start of the March Madness season (e.g. winner 2 years ago had a score of 0.53 and last year winner won with a score of 0.44). The Leaderboard ranking doesn't really mean much in this phase, but I am just wondering how so many people came up with the same predictions to get a score of 0.411801. Thanks!",0,None,8,Thu Feb 25 2016 00:09:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19171,/competitions/march-machine-learning-mania-2016,50th
/udibr1,bug in Fourier Based Tutorial,"At the start of the function get_weighted_distances the vector n should be normalized. For example: n = np.array([1, ys, xs])/np.sqrt(1.*1. + ys*ys + xs*xs) copy",0,None,1,Thu Feb 25 2016 02:11:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19172,/competitions/second-annual-data-science-bowl,19th
/matthrin,Matching up Images in the Time Series,"Hello, I am wondering if anyone knows if the 1st image of the set of 30 images would correspond to the 1st image of the set of 30 images from another short axis view.. i.e. if we look in sax_5 we have 30 images, and in sax_7 we have 30 images, does the nth image in sax_5 capture the same time (just different position) in the cardiac cycle as the nth image in the sax_7 folder? Does it also correspond to the nth image in the long-axis views? Also, does anyone know the metric of each pixel? I.e. how many millimeters each pixel of these files represents? Many thanks in advance.",0,None,1,Thu Feb 25 2016 04:10:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19174,/competitions/second-annual-data-science-bowl,None
/bobcz3,Exploring BNP Data Distributions,"Hopefully some of you will find this useful. I'd appreciate any observations, or alternate theories regarding the nan's impact on the distributions.",7,silver,3,Thu Feb 25 2016 05:27:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19175,None,None
/nageshk,Hand labled?,"is the sentiment of these tweets labeled manually by kaggle or crowdflower? If not, what type of algorithms have been used?",1,None,3,Thu Feb 25 2016 09:49:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19177,None,None
/blueeyes0710,GPU Computing  in R,"Hi there, anybody out there with experience in this field? I'm using R to do predictive analytics and need new hardware. As it has to be a laptop, I Need to find alternate ways to fast computing. I've heard that GPUs offer multiple processors and are much faster when utilized in computations compared to using the CPU. What graphics cards can be used? How to I tell R to use the GPU instead of CPU? What else is there to be considered? Thanks a lot :)",0,None,3,Thu Feb 25 2016 10:28:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19178,None,None
/osamaamaso,More data for research,"Hi, This is a fantastic set of data and competition. Is it possible to get more data about the patient so we can use them for further research outside the competition? This includes: blood pressure, heart disease history, etc. Thanks",0,None,2,Thu Feb 25 2016 15:20:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19179,/competitions/second-annual-data-science-bowl,None
/beedata,How do you do variable selection in this competition? Because I have more than 1000 variables without doing any feature engineering.,,0,None,2,Thu Feb 25 2016 16:50:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19181,/competitions/telstra-recruiting-network,242nd
/prayalankar,how to use k-means clustering in prediction,i was reading winning strategies of some previous competition and they have used k-means clustering i was also trying to do the same but i do not have any idea how to actually implement them .Please provide me any resource to follow as i am not getting the same.,0,None,5,Thu Feb 25 2016 17:09:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19182,/competitions/telstra-recruiting-network,429th
/yjl1228,Efficient way to dividing data >10GB?,"Hello, here I have a dataset contained about 800 million rows. Is there a efficient way to divide them into several chunks? Any help will be greatly appreciated!",0,None,3,Thu Feb 25 2016 21:15:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19184,None,None
/arfoss,Errors in 'ground truth' a.k.a training data?,"While I'm not a cardiologist by any means, it seems like some of the data in the training file seems incorrect. For MRIs that are visually very distinct and of clearly different sizes, the Systole and Diastole settings are very similar in the training set (but my algorithm gave the larger predictions for the larger sized MRIs). For instance, patients 26 and 20 have very similar values for sys/dia - (76/158 and 72/162). But when you visually inspect the MRIs, and take a look at heart, you can clearly tell that 26 is at least twice as big as 20! Could it be that some of the images are re-sized from the original?? I found similar anomalies in the training dataset where MRIs of similar sizes show widely varying values in the training file!",0,None,3,Thu Feb 25 2016 21:53:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19187,/competitions/second-annual-data-science-bowl,None
/del=2b8e93c7e705b5cb,Decompressing Dicom files,I cant find a program to decompress your DICOM medical images. Can you recommend one for windows 7?,0,None,4,Thu Feb 25 2016 21:57:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19188,/competitions/second-annual-data-science-bowl,None
/alexandrudaia,Overfitting behaviour,"Hi all, Has anyone observed overfitting behaviour in this competition? I just submitted 2 models with 0.45x on local evaluation (I must admit only 10% for evaluation) but the result has nearly 0.47 on the LB.",0,None,4,Thu Feb 25 2016 22:08:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19189,/competitions/bnp-paribas-cardif-claims-management,195th
/ilovesolder,Combining Deep Learning Tutorial with End to End Mxnet script,"Hello everyone, So as many of you know the deep learning tutorial provided by Kaggle uses Sunnybrook data and the label provided in that dataset is the contour of LV, not diastole or systole volume of LV. Now the training data provided by Kaggle has label of diastole and systole volume but not the contour. Are there anyways to continue training the network with Kaggle's training data, in a way similar to the script provided by Bing Xu in [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18079/end-to-end-deep-learning-tutorial-0-0392? I currently have the model in a .caffemodel file, so I would probably stay with caffe instead of trying to switch to MXNet… unless there's an easy way to transfer learning to MXNet?",0,None,9,Fri Feb 26 2016 02:33:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19191,/competitions/second-annual-data-science-bowl,147th
/msjgriffiths,"Log5, the Logit Link and Bradley-Terry",This was great! Thanks for the overview. Really liked the equations.,2,None,2,Fri Feb 26 2016 04:06:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19193,None,None
/sheldonbond,GLM logit issue,"I am somewhat new to predictive analytics and have a problem with a glm model. When I try to get predictions from the following model: glm.test <- glm(y~., data = n.train, family = binomial()) p <- predict(glm.test, n.test, method = ""response"") The response looks something like this: Min. 1st Qu. Median Mean 3rd Qu. Max. -3.7730 0.6634 1.2070 1.4140 1.9400 10.0400 I was expecting the values to be between 0 and 1. Anyone have any clues as to where to look to fix the problem(assuming the problem is there).",1,bronze,2,Fri Feb 26 2016 04:45:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19195,None,None
/mintaka,Is image crawling from Web allowed?,"Can we crawl web images from web image search engines (e.g., Google and Bing) for model training?",0,None,1,Fri Feb 26 2016 07:54:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19197,/competitions/yelp-restaurant-photo-classification,None
/alvaroosvaldo,Bug: Forum with negative score,I think it's a bug. A Forum of name Matching up Images in the Time Series has a negative vote. [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/19174/matching-up-images-in-the-time-series,0,None,2,Fri Feb 26 2016 13:02:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19199,None,None
/jilllin,Announcement: Insights Award Winner,"Dear All, Thank you for participating in our Insights Award for the Cervical Cancer Screening competition. We have received really great insights from you. To make sure that the submissions are insightful, actionable and medically/scientifically sound, our judging panel includes not only those who are familiar with data but also medical experts on cervical cancer. I am happy to announce that the Insights Award winner is BreakfastPirate. The panel agreed that the use of word clouds is a novel way to provide insights on different screening behaviors and is a technique that can be leveraged to further understand other metrics such as age and ethnicity. Again, we would like to thank everyone for taking the time to provide your insights. Genentech/Kaggle admins",5,silver,7,Fri Feb 26 2016 23:59:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19203,/competitions/cervical-cancer-screening,None
/ps2811,The San Francisco Crime Viz,"Hi , I have created a dashboard exploring the San Francisco Crime data for the recent five years. Here's the link - [Link]:https://public.tableau.com/profile/pooja4098#!/vizhome/TheSanFranciscoCrimeStory/Dashboard2 -Pooja [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/109526/3776/CrimeDashboard.png",2,bronze,1,Sat Feb 27 2016 07:14:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19205,/competitions/sf-crime,None
/ncchen,Deep learning starter code,"Hello there, Since I've benefited from other Kagglers' code (eg. [Link]:https://www.kaggle.com/c/noaa-right-whale-recognition/forums/t/17555/try-this and other shared scripts), I'd like to share my current solution [Link]:https://github.com/ncchen55414/Keggle-Yelp/tree/master/CNN_Submission1. (these are ipython notebooks so anyone can view the results without running the code.) This solution has 3 steps: Step 1: Use the pre-trained CaffeNet to extract features from images Step 2: For each business, compute the average of its image features. Use this average as the business feature. Step3: Train a SVM for multi-label classification and predict. This gives a LB score of about 0.76. Other thoughts: Inspired by [Link]:https://www.kaggle.com/wendykan/yelp-restaurant-photo-classification/expensive-restaurants-look-like-this, I'm also trying to get an intuition of what an expensive or good-for-lunch restaurant looks like. Attached is a t-SNE visualization picture, where we can see small clusters of piazzas/burgers/sandwiches, exactly those food for a quick lunch bite. A food image classifier might be helpful and fun to play with! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/109542/3775/tSNE-lunch_biz_small.jpg",44,gold,46,Sat Feb 27 2016 12:00:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19206,/competitions/yelp-restaurant-photo-classification,47th
/jeblist,new competitions & types of competitions,"Hi, Always, I consult the competitions, but every time I find that there are only a few days to close. Is that all competitions are renumerate ? sush as download, jobs, …",0,None,3,Sat Feb 27 2016 14:42:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19207,None,None
/mightybird,Struggling with vowpal wabbit,"Hi, so I transformed my BNP data to suitable files (classes are -1 and 1). I am using vw 7.3.0. And I used the following commands: vw -d vw_train.txt -f vw_model --passes 10 -c vw -i vw_model -d vw_test.txt -p vw_pred.txt -t copy However, it produces the following output: -0.084732 0.728692 0.307803 0.115925 0.334184 copy With more negative values to follow later on. Now I read a lot of information (--link / logistic …) in different places but was not able to find the right command lines / options for our problem here. Can anyone please help me getting started? Thanks Gerhard",1,bronze,8,Sat Feb 27 2016 15:22:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19208,/competitions/bnp-paribas-cardif-claims-management,530th
/arpangupta87,deep_nn,Better parameters or better transformations of categorical variables …are welcome!!,0,None,6,Sat Feb 27 2016 17:13:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19212,None,None
/mcifaldi,Question about variable v129,Is this not an ordinal variable?,0,None,4,Sat Feb 27 2016 19:39:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19214,/competitions/bnp-paribas-cardif-claims-management,None
/mheybpoodh,How hard is it really?,"Hello everyone! First of all, this topic is not directly related to the competition. I'm seeking the advice of the professionals on whether or not to choose the task of this competition as my masters thesis. I'm worried if the task is too advanced and I may not be able to do it in time (I only have a year), or may not be able to even come close to solving the problem at all! By the way, I have no background in image processing (I just took a course this semester) and I'm not an advanced data scientist, but I'm very enthusiastic and I'm willing to work day and night. Thank you all for your time and consideration.",0,None,20,Sun Feb 28 2016 12:58:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19218,/competitions/second-annual-data-science-bowl,None
/smeesumali,Best model so far.,Hi! I found random forest working best so far and in my case its giving around 54 % accuracy. I'm wondering if some other techniques are better then this. What is your opinion?,0,None,1,Sun Feb 28 2016 19:06:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19219,/competitions/prudential-insurance-dataset,9th
/dkatya,Yet Another Map (interactive + clusters),"This is awesome! 👍 It would be totally amazing if there were explanations for types of events and maybe an introductory text (what is this map about, how to use it, etc) :)",6,bronze,2,Sun Feb 28 2016 19:20:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19220,None,None
/tantanchen,unable to impute missing values with caret package,"has anyone tried imputing the missing values with the preProcess function in caret? When I use it, it overwrites all the values not just the NAs",0,None,7,Mon Feb 29 2016 01:18:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19227,/competitions/bnp-paribas-cardif-claims-management,None
/millerintllc,Multiple accounts or unlikely coincidences?,These 2 accounts are enjoying the following coincidences: they have the exact same score they submitted their submissions at practically the exact same time they have unusual team names which are almost identical Take a look: [Image]:http://i.imgur.com/kAnvoBD.jpg,-2,None,5,Mon Feb 29 2016 01:59:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19228,/competitions/home-depot-product-search-relevance,533rd
/silverroses,Multiple submissions yesterday and today?,"Hello! I thought we were allowed to do multiple solutions yesterday and today, but the system has only permitted me to do one. Is this an error of the website? Thanks!",1,None,2,Mon Feb 29 2016 03:46:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19229,/competitions/cme-250-competition,18th
/benhamner,NIPS Author Affiliations,"I added the source of the page you're requesting to the dataset, so you should be able to read it in from ../input/accepted_papers.html. If you get the chance, it would be great if you submitted a pull request to [Link]:https://github.com/benhamner/nips-2015-papers that updated things more properly (downloading/extracting affiliation information, and adding it to Authors.csv and the corresponding table in the SQLite database).",0,None,2,Mon Feb 29 2016 04:42:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19230,None,None
/frankgi64,"""DataFrames"" out of date","Hello, I am also new to Julia. I downloaded Juno, which uses Julia. I'm working on the first tutorial. I'm trying to install the package ""DataFrames"" into Juno, but I keep getting a message that says: ""METADATA is out-of-date — you may not have the latest version of DataFrames"" I'm not sure if this is why I am also the following code won't work for me. img = imread(nameFile) Can someone help me with this?",0,None,3,Mon Feb 29 2016 05:05:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19231,/competitions/street-view-getting-started-with-julia,None
/mgkaggle,XGboost - what is wrong with my methology?,"Hi guys, this is my first time working with xgboost and the logloss metric, and my local scores are far off my LB scores (e.g. 0.47x LS --> 0.60x LB). I'm quite desperate and I suspect the error lies either within my messy code or a fundamental misconception about the whole xgboost thing. There are so many xgboost scripts out there for different tasks w/ different approaches, metrics, programming languages, xgboost versions… I've lost orientation. And I'm quite desperate to get at least one decent submission in. Here's the most important snippet of my code (I hope it doesn't count as code sharing): # Load preprocessed train/test files (7381/11171 rows) train = pd.read_csv('train_pp.csv') test = pd.read_csv('test_pp.csv') labels = train['fault_severity'].values ids = test['id'].values train = train.drop(['id', 'fault_severity'], axis=1) test = test.drop(['id'], axis=1) xgtrain = xgb.DMatrix(train.values, labels) xgtest = xgb.DMatrix(test.values) # Create watchlist folds X_train, X_eval, y_train, y_eval = train_test_split(train, labels, test_size=0.33, stratify=labels, random_state=1) dtrain = xgb.DMatrix(X_train.values, y_train) deval = xgb.DMatrix(X_eval.values, y_eval) watchlist = [(dtrain, 'train'), (deval, 'eval')] # XGBoost params xgboost_params = { 'objective': 'multi:softprob', 'booster': 'gbtree', 'eval_metric': 'mlogloss', 'eta': 0.3, 'subsample': 0.75, 'colsample_bytree': 0.75, 'num_class': 3 } # Grasp on parameters num_rounds = 1000 cv = xgb.cv(xgboost_params, xgtrain, metrics='mlogloss', num_boost_round=num_rounds, nfold=5, stratified=True, seed=1, early_stopping_rounds=25, verbose_eval=True, show_stdv=False) # Modeling bst = xgb.train( xgboost_params, dtrain, num_boost_round=num_rounds, evals=watchlist, early_stopping_rounds=25, verbose_eval=True) # Make predictions preds = bst.predict(xgtest, ntree_limit=bst.best_iteration) # Save results pred_file = open('result.csv', 'w') csvfile = csv.writer(pred_file, delimiter=',', lineterminator='\n') csvfile.writerow(['id', 'predict_0 - predict_1 - predict_2']) csvfile.writerows(zip(ids, preds))copy Questions: Is there something wrong with my methodology? Does it encourage overfitting? I'd love to get a model directly out of CV, but as I understand it, CV w/ xgboost is only used to get a grip on the hyperparameters - and then one trains w/ those parameters on a simple split (e.g. 70-30) of the training data. Is this correct? What LB score should I aim for w/ xgboost and the plain training data? Thanks for your help!",1,None,8,Mon Feb 29 2016 07:18:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19232,/competitions/telstra-recruiting-network,363rd
/sachin,Ordered Logistic Regression,"One of the things that I have ignored when modelling so far is to use the fact that fault_0 meant 0 faults fault_1 few and fault_2 many faults respectively. So as most people did I regarded this simply as a multiclass classification problem and used xgboost and other typical machine learning tools. My question is, is there a specific way you can prepare the response variable so that you can fit ordered logistic regression to a normal classification problem. My first attempt was to do a model that was fault 0 vs (1 and 2) and then do a second model that was fault_1 vs 2. This (for now obvious reasons) was no different to doing a 3 class classification. This [Link]:https://en.wikipedia.org/wiki/Ordered_logit talks somewhat about it but avoids talking about how to get the probabilities of each class. Note that ordered logistic is not the same as Poisson regression.",0,None,2,Mon Feb 29 2016 07:27:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19233,/competitions/telstra-recruiting-network,493rd
/romualdj,Test data and validation results,"Since it would be good to minimize trivial changes to the model related with reading in the new test data and validation results, could you clarify the format of the released data? Specifically I wanted to ask: I guess that the test set will unzip into the directory test and would contain studies with consecutive ids. What would be the range of ids? (say 701-XXX?) Would the systole and diastole results for the validation dataset be given in a separate file validate.csv with the same format as train.csv or we would get some combined file with id's from 1 to 700?",3,bronze,3,Mon Feb 29 2016 13:07:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19234,/competitions/second-annual-data-science-bowl,28th
/cadrev,Data for Academic Work?,"Hi, I know this is an old competition, but can the data be used for academic work?",0,None,3,Mon Feb 29 2016 13:37:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19235,/competitions/belkin-energy-disaggregation-competition,None
/gpistre,Any success with missing value imputation?,"As I'm sure everyone has noticed, there's quite a lot of missing values (~33%, if I'm not wrong). Haven't had time to play around too much, but I have a somewhat decent score (0.456) by just replacing them with -999 or with a new factor. I've tried a few imputations methods, median, mean or prediction with a random forest, but so far it results in terrible scores (0.46+, all other things being equal). Any one had success with some of those methods? Could I be doing something wrong?",0,None,36,Mon Feb 29 2016 15:23:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19236,/competitions/bnp-paribas-cardif-claims-management,14th
/chedyraissi,Team merging,"Hello, Our team is looking to diversify its approach for this competition. We are focusing mainly on CNN segmentation methods (not an end-to-end though). Our score on the public LB is 0.019867 which gives us a nice 28th position. We would like to team up with someone with an LB score below 0.02 . PM us if you are interested",3,bronze,1,Mon Feb 29 2016 16:44:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19237,/competitions/second-annual-data-science-bowl,18th
/breakfastpirate,Predictions on Shakeup?,"Any predictions on what the shakeup will be this evening? I think the 0.40 people will beat the 0.42-43 crowd, and the 0.42-43 crowd will beat the 0.49-50 crowd. But within these strata, there is plenty of opportunity for shakeup. The public LB is based on only about 3200 rows, and multi-class logloss can give a heavy penalty to bad predictions on a handful of outliers.",2,bronze,10,Mon Feb 29 2016 16:50:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19238,/competitions/telstra-recruiting-network,37th
/millerintllc,"It's been fun; post your code, GitHub links here after the competition","I joined this competition very late in the game, about a week ago, but I enjoyed it greatly. My final ranking was only mediocre, but I'm happy to post my code via a GitHub link once the contest is over in 8 hours. I'd love to see other people's code as well. [Link]:https://www.kaggle.com/gibbssampler I am especially interested to see how you implemented Ting's approach based on the paper you shared. I thought it was a great paper, but I did not find their conclusion that GLM / multinomial logit (least squares) works best as a level-1 metalearner to prove true in this competition. Did you?",7,bronze,88,Mon Feb 29 2016 16:57:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19239,/competitions/telstra-recruiting-network,372nd
/laurae2,Analysis of Duplicate Variables | Correlated Variables (large post),"Last edit: 23:56 GMT 01 March 2016 Hello, I am posting the conclusion of my starting analysis of the features/variables. I used a response screening that looks upon each pair of variables (I've taken only continuous variables although I've analyzed specific categorical variables using an association matrix for these). It consists in doing the right typical statistical test (depending whether the data is continuous or not), calculating the false discovery rate, and transforming that false discovery rate to logWorth. Also, there are ton if not thousand+ singular/unique or near zero-variance proportion items. Either approximate those or throw them away from your calculations. It can throw away typical models such as CHAID or others as their corresponding variables' chi-square become suspect quickly. This analysis is purely pairwise, if there are any ternary relations, it is difficult to notice them quickly (but a pairwise association first should reduce the amount of variables you have - there are about 172 pairs whose |r| >= 0.75). Categorical variables: v91 - v107 First of all, v91 and v107 are duplicates (perfect association). The correspondence table is below: v107 -> v91 A -> F B -> B C -> G D -> C E -> A F -> E copy Solution proposed: delete one. Categorical variables: v71 - v75 If you throw a correspondence analysis of v71 and v75, you will notice you can merge them into a single variable. They also share about the same distribution against the target prediction variable. Row|Column agreement measures should give you an absurd value (~0.998 for lambda asymmetric, ~0.998 for uncertainty coefficient), same for other Gama (~0.999) and Kendall's tau-b (~0.956). Solution proposed: merge v71 and v75 into a singular variable/feature. Categorical variables: v79 vs v71 v79's R skews all the information given from v79 and v71 pairwise (v79's R 1st singular value on a correspondence analysis -> 21.21?????, on 2nd -> 6.115, on 3rd -> 26.69). Non-robust models (i.e. non-outlier resistant) will catch everything else in the same pack/group, while robust models will discard v79's R. You can throw them into coefficients using a correspondence analysis, but you will end up with 7 new continuous variables (0.9999, or 8 if you have ~1.0000). Solution proposed: transform v79's R into something else if you are using a non-robust model. Possible to use a correspondence analysis to harvest the two categorical variables into 7 continuous variables. N.B: R2 (U-test) is giving a massive 0.9972. If you make a contingency table, you clearly will notice why: they are singular values in most of the cases. Non-singular values might be human or processing errors. From that point, you can throw everything into a single variable by discarding the lowest frequency singular columns/rows of that contingency table. Categorical variables: v47 vs v110 This is identical as our first issue (v91 - v107). Destroy one variable, they give the same information. THere is also v47's H (n=1) and v47's A (n=38) being singularities. Solution proposed: get rid of one, but choose which one. Massively correlated variables Categorical variables: v10 vs v31 Plotting v10 vs v31 including missing values must show you that v31's missing values are following the same distribution as v31's B. ROC curves are largely identical and there is no statistical difference. Up to you to do what you can do with it. Continuous variables As the false discovery rate (FDR) is usually correlated with R2 (or its equivalent for associations), I screened pairwisely each continuous variable. I reported here only the variables whose R2>0.90, rounded to 3 decimals. Removed FDR LogWorth because it is equal to about 321.07 (p-value = ~0). I did not delete the pairwise duplicate information (Y = X <=> X = Y), but you are free to look at the mean squared error (MSE). You should look closely at v115 (Y) and v69 (X), the pattern when plotted is intriguing. Same for v26 (Y) and v46 (X). I did not include there, but there are chained associations between variables (i.e calculated values with a small amount of noise). Most of these chains are giving the out the same information at the end (if you choose wisely how to associate those chains). Y X MSE R2 v100 v58 0.221 0.995 v58 v100 0.218 0.995 v69 v115 0.045 0.987 v115 v69 0.045 0.987 v17 v76 0.053 0.985 v76 v17 0.028 0.985 v46 v63 0.140 0.983 v63 v46 0.147 0.983 v17 v64 0.126 0.966 v64 v17 0.220 0.966 v25 v46 0.308 0.965 v46 v25 0.296 0.965 v63 v25 0.331 0.962 v25 v63 0.328 0.962 v26 v60 0.012 0.962 v60 v26 0.011 0.962 v48 v106 0.184 0.962 v106 v48 0.333 0.962 v116 v43 0.020 0.956 v43 v116 0.018 0.956 v92 v95 0.003 0.955 v95 v92 0.003 0.955 v8 v63 0.368 0.953 v63 v8 0.418 0.953 v8 v46 0.380 0.951 v46 v8 0.411 0.951 v25 v54 0.552 0.937 v54 v25 0.338 0.937 v40 v114 0.654 0.935 v114 v40 0.444 0.935 v121 v83 0.122 0.934 v83 v121 0.075 0.934 v25 v89 0.608 0.930 v89 v25 0.550 0.930 v33 v83 0.068 0.930 v83 v33 0.079 0.930 v48 v64 0.355 0.926 v64 v48 0.469 0.926 v97 v118 0.273 0.926 v118 v97 0.295 0.926 v25 v105 0.648 0.926 v105 v25 0.374 0.926 v108 v128 0.070 0.916 v128 v108 0.096 0.916 v29 v96 0.139 0.916 v96 v29 0.106 0.916 v54 v89 0.458 0.915 v89 v54 0.676 0.915 v11 v53 0.054 0.913 v53 v11 0.055 0.913 v64 v76 0.575 0.910 v76 v64 0.173 0.910 v96 v41 0.121 0.903 v41 v96 0.097 0.903 v121 v33 0.184 0.900 v33 v121 0.097 0.900 copy Some variables are present several times (not including categoricals), such as: v25 - > 5 times (v105, v46, v54, v63, v89) v46 -> 3 times (v25, v63, v8) v63 -> 3 times (v25, v46, v8) v64 -> 3 times (v17, v48, v76) v17 -> 2 times (v64, v76) v33 -> 2 times (v121, v83) v48 -> 2 times (v106, v64) v54 -> 2 times (v25, v89) v76 -> 2 times (v17, v64) v8 -> 2 times (v46, v63) v83 -> 2 times (v121, v33) v89 -> 2 times (v25, v54) v96 -> 2 times (v29, v41) v121 -> 2 times (v33, v83) copy If you analyze chained associations, remove these chains, remove associations, and remove pseudo-associations, this feature engineering should improve your leaderboard score using the same models and the same parameters. I do not know any scripts which are doing chained correlation + random noise checking automatically, if you do post them below if you'd like to. Example of strange link: pick anything associated to v25 (v46, v54, v63, v105, v8) and you will notice a very strangeness from when associated with v8. Drop a principal component analysis (or any method you want to reduce the amount of variables), and you should be able to drop them into one or two variables (all these 6 variables together, you should get 95.1% on PCA as 1st component). Their Cronbach's alpha is so high (~0.986-0.989 separately, 0.9898 together) that it's probably the same information behind. Analysis of Mahalanobis distances are showing that Cronbach alpha are not 1.00 probably because outlier weights. I might drop more information there if I keep going on analyzing the features. Edit: 23:56 GMT 01 March 2016 [quote=Micpax;109713] This is such a fantastic post. Thanks a lot for sharing. I am a beginner, would you mind adding some information about how you do correspondence analysis and how you study chained associations? Any other pearl of wisdom you want to share is greatly appreciated! Keep up the great work [/quote] Hello, I will answer point by point to your questions. [quote=Micpax;109713]some information about how you do correspondence analysis?[/quote] Correspondence Analysis (used mostly in social science researches) allows to reduce the dimensions issued from using categorical variables, while transforming them into continuous values. This is exactly the same thing as an unsupervised Principal Component Analysis (i.e. the typical PCA used in 99% of cases), but applied to categorical variables. For instance, you can do it in R using FactoMineR or other similar packages. [quote=Micpax;109713]some information about how you study chained associations?[/quote] To study chained associations, you have to look further away from the data in a global way, variable by variable (and not row by row). You have to do what we call an ""EDA (Exploratory Data Analysis) of pairwise association analysis"", which is detecting using your own flair how things are adjusting together (and how things are not adjusting together). This is purely an human process that cannot be done by a machine (and still an issue as of today, especially when dealing with million of predictors). I will give you one example here to show you how you can get R2 = 1 by analyzing v34 (take note that v34 is not a variable in the list I've made, but its brother/sister v40 is present). Doing a deep analysis of linearization between variables, you can notice v34 = 11.83 + 0.636v10 - 0.632v40 with R2 = 1. From there, you solved what is v34. However, you do not know what is v10 and v40. As you know v40 is linked with v114 heavily (being in my correlation list), you must look what v114 is doing. You must permute the variables as the following: v34 -> v40 v10 -> v10 (do not touch because see below) v40 -> v114 (because you know there might be a link, hence v34 removal because you know v34) copy It leads to doing v40 = av10 + bv114 + c. If you try to fit that linear model, you get R2 ~ 0.945, but what is more interesting is how the prediction looks. v40 Actual vs v40 Predicted looks like a part of an ellipse/oval. Running a PCA on these 3 variables allows you to output only 2 variables at 99% variance rate. You have nearly 100% assurance there is something quadratic there due to the plot and the PCA. Fit a 2nd degree polynomial of v40 by v114 (v10 is too random to do anything against v40). It should give you approximately v40 = 28.131 - 1.269v114 - 0.064(v114 - 13.572)^2. Output both the predicted and residual values. Now, try to fit v40 = av10 + bv40_predicted + cv40_residuals + d. You instantly notice R2 = 1, with approximately v40 = 1.243e-13 + -1.0366e-13v10 + 1v40_predicted + 1v40_residuals. The low coefficients on v10 and the low intercepts allows you to think v40 has nothing to do v10 and v110. You can check yourself by trying to fit v40 = av114_predicted + bv114_residuals, you get R2 = 1 and v40 = v114_predicted + v114_residuals. Conclusion: v34 has a perfect link with v10 and v40 using an intercept. Hence, you can do 3->2 variables. v40 has a perfect (quadratic) link with v114 and noise. However, we do not know where the noise comes from. v40 has nothing to do v10. If you look how the residuals of v40 are made, the information might lie in either v10, v12, or v50. They have absurd coefficients (1000+) on a linear model. This could indicate also that these variables are biased and should be avoided when looking at v40. In fact, a stepwise fit using Minimum BIC rule kicks v12 aways, and the coefficients become more regular (and not with absurd values). And when looking between v10 and v50, it is easy to know which one to kick away (v10 ~ 0.003, v50 ~ 0.481). Therefore, do the same thing as before: look how v40 and v50 are distributing against each other. You see it seems slightly linear with a lot of early X/Y noise, therefore you pick up the predicted v50 and residuals v50 (avoid nesting residuals such as predicted residuals v40 and predicted predicted v40 as it gets humanly difficult to process). You notice that, if you try to fit v40_residuals = av50 + bv50_predicted + cv50_residuals, you should get a potential error (ill-conditioned matrix). This is perfectly normal to get this issue, as v50 = v50_predicted+v50_residuals. Drop v50 from the equation, you should be trying to fit fit v40_residuals = av50_predicted + b*v50_residuals. Magic, you get R2 = 1, with the following (approximately) equation: v40_residuals = -0.749 + 0.498*v50_predicted. Hence, the residuals of v40 are coming perfectly from v50. Now, why? This is the starting question of that conclusion. Something very important, when doing EDA (Exploratory Data Analysis), is to NEVER stop at something that looks unfittable because of potential residuals. Always use the best fit you can guess (using your flair), and drop residuals into the equations you were looking initially at. They solve more issues than creating issues (an human bias is avoiding nesting items, even 1-level nestings: you should at least try 1-level nestings, and document everything you do). Conclusion: v34 was found previously. v40's residuals (from a quadratic polynomial fit on v40) depends on v50 linear fit perfectly. If you look at v50 residuals, something is fishy between v92 and v95 (they are neutralizing each other against v50). And boom! approximately v92 = -0.037 = 0.931v95_predicted (R2 = 1). You found accidentally two variables where one is a calculated value (a new question begins: where does v95 noise comes from?). Well, if you do the same thing to v92, you do see that approximately v50 = 17.200 - 29.504v92_predicted. v92's and v95's residuals are your starting point. v92_residuals = -1v92_predicted + 0.931v95_predicted (R2 = 1), so… v95's residuals is where you must look at. This is how an intuition for looking at data can be used. There are many other ways to look at the data in a ""perfect"" way. Also, there are strange coefficients you can look at: v9 -> v80 + v122 v10 -> v34 + v40 v21 -> v14 v28 -> v18 v34 -> v10 + v40 v40 -> v34 + v10 v72 -> v38 + v62 v80 -> v9 + v122 v122-> v9 + v80 copy They can be called ""first-level variables"", as there are nests of their so-called ""random noise"" (which should not be random until the last-level variables). If you fail at fitting nearly perfectly last-level variables (using whatever model you want, like generalized linear models, logit models, Cubist, xgbTree…), this is the entry point of random noises and the most ""impure"" variables (for a predictor point-of-view, most ""pure"" variables where you can catch the noise with models). Everything higher in the levels of your tree, are pure calculated values.",153,gold,Categorical variables: v91 - v107,Mon Feb 29 2016 17:09:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19240,/competitions/bnp-paribas-cardif-claims-management,111th
/rdizzl3,Clarification on Categorical Variables,"When it comes to categorical variables one of the most widely used transformations is one-hot encoding. What I have learned in the context of generalized linear models for logistic regression is that the categorical variable can be represented as c-1 columns. The c-th column is used as a reference variable to estimate the intercept of the model. I have two questions: Is this statement correct? If not can someone please clarify for me? :) When using xgboost or random forests, does one still use c-1 variables?",0,None,1,Tue Mar 01 2016 00:30:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19244,/competitions/bnp-paribas-cardif-claims-management,218th
/del=977f83563998dc42,Forgot to change selection,"Well, oops, forgot to change the submissions selected for final scoring. That stinks. Is there any way to change that after a comp has ended?",0,None,3,Tue Mar 01 2016 01:03:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19245,/competitions/telstra-recruiting-network,367th
/chaikothari,test_script_2,Amazing script! Could you please explain how you came up with the transformer weights?,0,None,1,Tue Mar 01 2016 01:27:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19247,None,None
/breakfastpirate,Thanks Telstra!,Thank you Telstra! This has been an awesome competition. Send another one our way soon! (And thanks Kaggle too.) Congrats Mario on the win! And congrats Jared and Horizon on making Master!,7,bronze,4,Tue Mar 01 2016 02:17:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19248,/competitions/telstra-recruiting-network,37th
/salaken,List of algorithms I have tried,"List of algorithms I have tried: xgboost (the best result) Random Forest Adaboost Stacked autoencoders with softmax classifier (Deep NN) Decision trees and ExtraTrees Pattern search/ GA tuned Neural network classifier Ensemble of random forest, adaboost, extra tress and logistic regression KNN (multiple numbers of neighbors) Ensemble classifiers with isotonic regression and Platt's scaling as post-processing Randomforest and adaboost separately with the above post-processing RUSBoosted trees xgboost ensembles trained on different sub-population of training data SVM Regarding magic features: Used locations as integers Used location frequency in few submissions (with previous tuning parameters, which was a bad choice I see) Did not find the ""row number"" relationship Was sure there is a time information available in the dataset. So tried different combination of ID and location (e.g. log, division/multiplication/power before and and taking log, exponential, convolution etc) Used hot encoding (not one-hot) for log-features and replaced all ""1""s with respective volume. Also tried with one hot encoded severity type as well as its integer form. What I learned: Feature, feature and feature…..concentrate on features. Would love to hear from experts about their total approach. :)",0,None,7,Tue Mar 01 2016 02:45:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19249,/competitions/telstra-recruiting-network,194th
/alvaroosvaldo,NVIDIA: How long is possible to use a GPU?,"How long is possible use a GPU without turning off? I'm afraid that a GPU running 20 days in 90-95°C can burn and I'm having trouble finding this answer in NVIDIA forum. By the way, the GPU can burn?",0,None,2,Tue Mar 01 2016 03:44:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19250,/competitions/second-annual-data-science-bowl,None
/itodorovic,Miss-spelled grading,"Hi, A question for competition admins: Should we treat misspelled queries like this example from train.csv, or is this an error made by the human grader: 21959,104169,""Everbilt Dark Oil-Rubbed Bronze Decorative Sliding Door Hardware"",""oil rubbered bronze dor"",1 copy Query was graded '1'' despite being exactly what customer was looking for, and should be graded '3', probably because it has not one but two spelling errors, 'rubbered' for 'rubbed' and 'dor' for 'door'. Should we grade like this, misspelling leading to '1' or is this human grade wrong?",1,bronze,2,Tue Mar 01 2016 12:45:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19255,/competitions/home-depot-product-search-relevance,578th
/colinpriest,Starting from scratch,"Hi All, I gave up on the tutorials because I couldn't figure out how to tune them for better performance. So I decided to develop my own methodology, starting from scratch. What I'm doing is: 1) clean up the images (aspect ratio, contrast, brightness, deduplicate) 2) train a convolutional neural network to find the centroid of the left ventricle in the images 3) crop the image around the left ventricle, then binarise the image and apply image morphology to smooth the blobs and fill any holes inside 4) train a GBM to recognise which blob is the left ventricle 5) track the blob through the 30 time slices, to find the times of diastole and systole 6) track the diastole and systole blobs through the sax location slices to get a set of slice areas 7) train xgboost to estimate the left ventricle volume, with features derived from the dicom image header and the sax location slices I learned a lot from doing all of this, but it sure took a lot of time, and I don't think I have time left to improve the model :-( I will write blog tutorial if enough people are interested. Colin [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/109893/3784/location-slices.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/109893/3785/time-slices.png",4,bronze,6,Tue Mar 01 2016 13:38:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19256,/competitions/second-annual-data-science-bowl,43rd
/millerintllc,Anyone accidentally submit the same results multiple times?,[Link]:https://imgflip.com/i/102trz [Link]:https://imgflip.com/i/102trz [Link]:https://i.imgflip.com/102trz.jpg,4,bronze,2,Tue Mar 01 2016 15:16:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19257,/competitions/bnp-paribas-cardif-claims-management,1122nd
/jakegrimes,Speeding up Tf-Idf?,"I'm trying to caclulate tf-idf scores for each query against the product title and description, but it's taking about an hour to do 20,000 entries; and there are 160,000 entries in the test set. Is there something inefficient about my code, or is this an intrinsically difficult operation? from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer from sklearn.metrics.pairwise import linear_kernel from sklearn.preprocessing import normalize description_vectorizer = TfidfVectorizer() description_matrix = description_vectorizer.fit_transform( product_list['product_description'] ) description_counter = CountVectorizer( vocabulary=description_vectorizer.get_feature_names() ) # Find tf-idf score for search_term and pair with the product stored at idx in matrix. # Abstracted to calculate tf_idf for both title and description. def tf_idf(idx, search_term, counter, vectorizer, matrix): search_term = search_term.split(' ') tf_ = normalize(counter.transform(search_term), norm='l1') tf_idf_ = tf_.multiply(vectorizer.idf_) matching_product_tf_idf_ = matrix[idx] return linear_kernel(tf_idf_,matching_product_tf_idf_)[0][0] description_tf_idf_scores = test_data.apply(lambda row: tf_idf( row['idx'], row['search_term'], description_counter, description_vectorizer, description_matrix ) copy",0,None,2,Wed Mar 02 2016 16:16:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19278,/competitions/home-depot-product-search-relevance,238th
/smedleykagnovitch,Time ordering,Is there any information about which independent variables receive their values earlier/later than other independent variables?,0,None,1,Thu Mar 03 2016 00:58:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19283,/competitions/santander-customer-satisfaction,None
/gt1967,Docker kaggle/python,"Hello guys, I feel so ashamed to ask help but I'm really in difficulties. I found some web pages usefull but nothing really understandable. I'm a windows guy with no experience at all in linux world. So I installed docker on a new brand Ubuntu machine and launched docker pull kaggle/python. All went well. Now I launch the ""docker run -p 8888:8888 -it --rm kaggle/python"" and all seems fine because I receive a root@xxxxxxxxxx# command prompt Then launch the ""jupyter notebook"" command but when I visit the https://localhost:8888 from a browser in the Ubuntu Machine I can't reach the page. I know there a lot of options to try python scripts but I tried all of them and docker kaggle/python is my last option. I would like to have docker way works properly because I wasn't able to have tensorflow and xgboost import functioning. Some ideas ?",1,None,10,Thu Mar 03 2016 13:11:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19293,None,None
/domcastro,"Kaggle, Bracket, ESPN and 15 minutes of fame","I thought this was a good story so thought I'd share / show-off I entered this competition last year. My ensemble with Net Prophet came 8th. As a side line to the Kaggle Competition, NetProphet ran a Bracket Challenge - the bracket had to be 100% computer predictions and complete before the start of the tournament. Roll on a year. ESPN 538 were interested in running a story on computer-predicted brackets. NetProphet put them in contact me. The shock of me being a British woman who had never watched a basketball match in her life made them think that they could make more of story of it. So, lol, ESPN are sending a film crew to the UK and they will be making a mini-documentary about brackets. 15 minutes of possible fame (If ESPN show it!) Thanks William, Jeff and Scott (NetProphet) I'll let you know how it goes",25,gold,8,Fri Mar 04 2016 10:09:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19313,/competitions/march-machine-learning-mania-2016,126th
/ilovesolder,Need help with Caffe loss layer dimension!,"I am using same input/output dimensions as the one used in Bing Xu's post. I transformed the label data to a list of arrays with length 600. Now for my Caffe network I have a fully connected (inner product) layer with 600 output as my second to last layer, and a softmaxloss layer as my last layer. When I try to train my network, I get an error saying that the dimension of my output and label do not match. ""softmax_loss_layer.cpp:42] Check failed: outer_num_ * inner_num_ == bottom[1]->count() (1 vs. 600) Number of labels must match number of predictions; e.g., if softmax axis == 1 and prediction shape is (N, C, H, W), label count (number of labels) must be N*H*W, with integer values in {0, 1, ..., C-1}."" copy But I don't really understand why that's the case. I have my label data stored in a lmdb database and the program seems to be able to detect that the size of my label is 600. But I don't understand why the prediction shape, or outer_num_ * inner_num_ seems to be 1, even though my last Fully Connected layer has 600 outputs… Any help is appreciated!!!!!!",0,None,11,Sun Mar 06 2016 10:31:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19342,/competitions/second-annual-data-science-bowl,147th
/juliandewit,"Just to be 100% sure annotating in 2nd round, reproducibility",Hello I intend to annotate the to be released validation set. Based on the following thread I assume this is allowed. [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18599/questions-about-hand-labeling/109809 Now for reproducibility.. Cudnn (which almost everyone is using I guess) is non-deterministic in train-mode but deterministic in predict mode. Must I remove cudnn from my solution since training is non-deterministic. If so.. Well… That would mean I might need to change the 3rd party library I use.. Is that expected of us ? Since NVIDIA is the sponsor here that would be a BIG bummer for them too. In the end it only means a very little difference in the final score. Predicting from a trained model IS reproducible. So to be 100% sure.. Can we annotate patient 500-700 after 7 march ? Must the training process be 100% reproducible ? (which means we may not use CUDNN which is provided by the sponsor of this competition),1,bronze,17,Mon Mar 07 2016 05:43:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19351,/competitions/second-annual-data-science-bowl,3rd
/andirey,How install new library in Kaggle script ?,"Hi ! I'd like to use package ""funModeling"" in a script. The code: library(funModeling) -- give me an error. An attempt to install.packages(""funModeling"") also don't work. So, how can I attach ""funModeling"" to my script ? Thanks",0,None,1,Mon Mar 07 2016 10:05:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19356,None,None
/batman0730,Joining Slots and TourneyDetailedResult?,"Hi, I'm finding the TourneySlots and TourneyDetailedResult a bit clunky to link together. It might be convenient if the TourneyDetailedResult table contained a slot column that we could Join on. This would be particularly helpful with play-in matches. I assume it's too late for this year, so I'm just throwing it out there as feedback.",0,None,2,Mon Mar 07 2016 20:03:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19366,/competitions/march-machine-learning-mania-2016,None
/magicdreampro,When test data will be released?,"Currently is 8-March 0:14 UTC time and I don't see test data at ""Data"" page. Is it Ok or it is a problem with my computer?",4,bronze,4,Tue Mar 08 2016 01:17:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19376,/competitions/second-annual-data-science-bowl,25th
/cshivaji,Sending code,The rules say that our code will be taken into account while deciding the winners. How do we send your code to you?,0,None,1,Tue Mar 08 2016 15:54:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19393,/competitions/mutex-miner2,9th
/mikeskim,External Data Disclosure Thread,"Please add to this thread since the rules state: Participants may not use information from Home Depot's website beyond what is provided in the Competition Data. Use of publicly available external data is permitted, provided it does not pertain to Home Depot nor to any entity in the same line of business as Home Depot. For example, you may use pre-trained networks or natural language tools/libraries. The source of any external data must be posted to the official competition forum prior to the First Submission Deadline. I will be using public data that any Kaggler can download from [Link]:http://www.kaggle.com",0,None,51,Wed Mar 09 2016 12:12:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19413,/competitions/home-depot-product-search-relevance,17th
/ekolonsky,Синергия персонажей улучшает качество модели,"Здравствуйте, коллеги! Есть гипотеза, что если ввести в модель признаки, отражающие ""синергию"" взаимодействия персонажей, то качество модели вырастет. Но как это сделать? Количество всевозможных сочетаний персонажей в двух командах по 5 героев из 113 персонажей очень велико (~10^16). Столько признаков ноутбук не съест. Обратите внимание на работу студентов Университета Сан-Диего (Калифорния). В статье излагается простая идея создания признаков синергии пар персонажей. [Link]:http://cseweb.ucsd.edu/~jmcauley/cse255/reports/fa15/018.pdf",5,bronze,28,Wed Mar 09 2016 14:09:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19414,/competitions/dota-2-win-probability-prediction,49th
/tomvars,Are we allowed to train on the newly labelled validation set?,For our stage 2 submission.,0,None,2,Wed Mar 09 2016 17:18:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19415,/competitions/second-annual-data-science-bowl,101st
/abdulwahabkabani,To Kaggle Admins: Submission is closed even though model is uploaded,"I uploaded my model before the deadline and I saw that my model is uploaded on the public leaderboard. However, when I go to the 'Make a Submission' page, I get the error 'This competition is closed to new entrants'. Please note that I can see my model under the 'Your Model' webpage. The name of the model is 'Stage1_ModelSubmission (copy).zip'.",0,None,6,Wed Mar 09 2016 19:45:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19417,/competitions/second-annual-data-science-bowl,20th
/wojciechmigda,nominal and continuous features,"In the previous competition I participated (prudential) it was explicitly stated which features are continuous, nominal, discrete, etc. It is summarized somewhere here as well (and I am bad at searching) or that's not the case with this competition?",0,None,1,Wed Mar 09 2016 20:54:53 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19418,/competitions/santander-customer-satisfaction,2003rd
/outliar,How can we justify more than two submissions in round two ?,"I can see a lot of my fellow Kagglers have uploaded three submissions. As per my understanding, in round two we just need to run the rules we created during round one and find the outcome for the newly released test data set. However, even if we retrain the model using validation outcomes, we get only two models. Shall we not be allowed to submit only two predictions. How can we justify the third submission..?",0,None,2,Wed Mar 09 2016 21:42:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19419,/competitions/second-annual-data-science-bowl,79th
/annavictoria,Sports Stats Datasets on Kaggle,"Hi sports-analytics-minded folks (and general data lovers), Yesterday we uploaded "" [Link]:https://www.kaggle.com/kaggle/the-history-of-baseball"" to Kaggle Datasets, a version of Sean Lahman's [Link]:http://www.seanlahman.com/ that we reformatted for SQLite. It contains Major League Baseball’s complete batting and pitching statistics from 1871 to 2015, plus fielding statistics, standings, team stats, park stats, player demographics, managerial records, awards, post-season data, and more. (You can play with it on [Link]:https://www.kaggle.com/kaggle/the-history-of-baseball/scripts to share predictions for 2016 and do research for your fantasy drafts :)) Are there any other comprehensive sports related datasets you'd love to see on Kaggle?",3,bronze,7,Wed Mar 09 2016 22:19:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19420,/competitions/march-machine-learning-mania-2016,None
/joscani,XGBOOST Starter script (~0.823 on LB),Great code. I'm just learning about xgboost in R,0,None,3,Wed Mar 09 2016 22:27:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19421,None,None
/amaurysouza,"Currency exchange rates: how people choose them,ie., what is the distribution?","Hi everyone, I wonder if you could give me some insights here, maybe some of you have worked with some financial projects. I need to know which distribution would best describe the behavior of people buying and selling their currency. For instance, people living in the UK wants to buy Euros, and people in the Eurozone wants to buy Pounds. However, both sides wants to win, they will therefore choose a value usually better (in their point of view) than the market is paying. If you were to generate a random sample of this market, which distribution would you use?",0,None,2,Thu Mar 10 2016 00:08:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19423,None,None
/adamwlev,Anybody interested in a substantive talk?,"Admittedly, I am a newbie. So mostly I'm interested in guidance. This is an issue, which I don't know the answer to and am interested to hear what you folks might say in response. I am coming to the model selection part of creating my entry and don't really know what to use. Again, I sort of have no idea what I'm doing. But, I have looked at techniques like NN for classification (which doesn't seem appropriate but who am I to say), and Lasso or Ridge Regression for model fitting. Lasso Regression seems like it might be a good choice since it can narrow down many correlated features and eliminate redundant ones. An issue I am having with this though - and again, please take it easy if this is silly - it seems like the common implementations of Lasso Regression are designed to minimize squared-error but in this contest we are interested in minimizing log-loss. Admittedly, this difference is not huge - check out this plot I just did: [Link]:https://graphsketch.com/?eqn1_color=1&eqn1_eqn=x%5E2&eqn2_color=2&eqn2_eqn=-log(1-x)&eqn3_color=3&eqn3_eqn=&eqn4_color=4&eqn4_eqn=&eqn5_color=5&eqn5_eqn=&eqn6_color=6&eqn6_eqn=&x_min=0&x_max=1&y_min=0&y_max=10&x_tick=1&y_tick=1&x_label_freq=5&y_label_freq=5&do_grid=0&do_grid=1&bold_labeled_lines=0&bold_labeled_lines=1&line_width=4&image_w=850&image_h=525. Any thoughts on this issue specifically, or the model-selection aspect of this contest in general? I am just trying to learn something from this experience, looking for some constructive feedback. Thanks and best of luck.",0,None,10,Thu Mar 10 2016 00:51:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19425,/competitions/march-machine-learning-mania-2016,349th
/liuguiyang,mnist,"Hi JiKe321, I am using tensorflow to training a cnn to predict the digit, but my correct ratio can't break through the 99.0%. Do you have some good idea or other better solutions to solve this problem? Thank you for your reading ! liuguiyang",1,bronze,2,Thu Mar 10 2016 02:03:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19426,None,None
/darkguard,R:How to draw the ROC curve of OCSVM,"when I use this code to draw ROC curve，I found the probability of the ""p"" hava negative number,and make the ROC curve is strange. Can someone help me to figure out this problem. iris$SpeciesClass[iris$Species==""versicolor""] <- ""TRUE"" iris$SpeciesClass[iris$Species!=""versicolor""] <- ""FALSE"" trainPositive<-subset(iris,SpeciesClass==""TRUE"") testnegative<-subset(iris,SpeciesClass==""FALSE"") inTrain<-createDataPartition(1:nrow(trainPositive),p=0.6,list=FALSE) trainpredictors<-trainPositive[inTrain,1:4] trainLabels<-trainPositive[inTrain,6] testPositive<-trainPositive[-inTrain,] testPosNeg<-rbind(testPositive,testnegative) testpredictors<-testPosNeg[,1:4] testLabels<-testPosNeg[,6] svm.model<-svm(trainpredictors,y=NULL,type='one-classification',nu=0.10,scale=TRUE,kernel=""radial"") svm.predtrain<-predict(svm.model,trainpredictors) svm.predtest<-predict(svm.model,testpredictors,decision.values=TRUE) p<--attr(predtest,""decision.values"") pred <- prediction(p, testpredictors) perf <- performance(pred,""tpr"",""fpr"") plot(perf,colorize=TRUE)",0,None,2,Thu Mar 10 2016 02:23:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19427,None,None
/arielp,[Deleted Kernel],"When i ran this script i got an error message: db <- dbConnect(dbDriver(""SQLite""), ""../input/database.sqlite"") Error in .local(drv, …) : Could not connect to database: unable to open database file Thanks Ariel",0,None,1,Thu Mar 10 2016 08:25:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19429,None,None
/scirpus,Genetic Programming,"This might give you insight into what features are important. The LB score is only 0.46897 but GP1,GP2,GP3 were trained on the odd rows whereas GP4, GP5 and GP6 were trained on the even rows. I didn't train on all the data at once to stop skewing of the Leaderboard",1,bronze,7,Thu Mar 10 2016 12:04:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19431,None,None
/skyjiao,Question for organizer,"Dear admin, Are we allowed to scrap some product information directly from homedepot.com? Since such information is publically available, i'm not sure whether it's against the rule. Since this gonna be quite time-consuming, I would like to have your go before processing. Thx",0,None,2,Thu Mar 10 2016 12:30:49 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19433,/competitions/home-depot-product-search-relevance,None
/kelexu,Extreme big value decoder,"As we can see, for some features, the maximum of the several features is quite big compared with other values. saldo_medio_var44_hace2 Max. :453893.4 saldo_medio_var44_hace3 Max. :24650.010 I wonder how shall we do to decoder these extreme big values? Thanks in advance.",2,None,1,Thu Mar 10 2016 13:58:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19434,/competitions/santander-customer-satisfaction,11th
/igolomb,Learning from presentations with dilemmas and conclusions of top-preforming competitors,"Hi, This site is a great entrance point for people looking to improve in their data science ability especially because it is possible to learn from others, e.g., when using the ""Scripts"" module. However, even when the documentation in the script is great, it is usually difficult to understand exactly what the main challenges were, what other ideas the participants tried and failed in, why the chose as they did, and many other questions which are of great value to the community as a whole. In particular, it can enrich the high-level understanding of data sciense problems and expose various approaches to deal with them. These types of questions can be answered by presentations by the participants (for example, see pdf in [1]). Is there a way to search for more such presentations on the site (for instance, are they saved in a specific repository or tagged by a label)? Are there competitions in which the competitors are encouraged to submit such presentations? Thanks in advance! [1] [Link]:https://www.kaggle.com/c/informs2010/forums/t/190/methods-techniques-used-by-the-top-three-competitors)",0,None,1,Thu Mar 10 2016 16:17:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19436,None,None
/toma5692,Stage 1 Leaderboard,"Hi everyone, we are wondering if someone has a copy of stage 1 learderboard before the release of the second dataset. It could be important for us. Thanks",1,bronze,12,Thu Mar 10 2016 16:29:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19437,/competitions/the-allen-ai-science-challenge,46th
/khatibi2,2016 teams,"Hello, How do we know which teams participate in 2016 so that we fill in our predictions and participate in the competition?",0,None,2,Thu Mar 10 2016 22:40:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19439,/competitions/march-machine-learning-mania-2016,256th
/alexlzzz,Ordered Causes of Death,72(!) deaths a year due to a contact with powered lawnmower.,1,bronze,1,Thu Mar 10 2016 22:46:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19440,None,None
/thejakeyboy,Today's pandas tutorial,Based on this link: [Link]:https://github.com/fonnesbeck/statistical-analysis-python-tutorial It's lecture 2 on data wrangling.,0,None,1,Thu Mar 10 2016 23:17:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19441,/competitions/mdst-fars,10th
/abhijit78,Query About XGB Results and Stability,"Hi, I want to know if anyone is getting consistent stable results across folds in XGB model? In my simulations, i am observing that training logloss is in the range of 0.22-0.3 whereas validation logloss is in the range of 0.457-0.461 which clearly shows a kind of overfit model (though the LB logloss is consistent with my validation logloss). I have not done any feature engineering so far. What are your observations? Best, abhijit",1,None,5,Fri Mar 11 2016 07:45:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19443,/competitions/bnp-paribas-cardif-claims-management,93rd
/sontung1404,Simply Logistic Regression,"May I ask? What is the purpose of line 10? train.loc[:,'pixel0':] = train.loc[:,'pixel0':] * 1.0/255.0 copy",0,None,4,Fri Mar 11 2016 09:25:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19444,None,None
/dty09rcu,2x XGBoost + RF ensembling,"You are fitting the random forest classifier to the original dataset and not the train/test split. rfc.fit(X, y) y_pred3= rfc.predict_proba(X) copy This explains the very high score of: 0.997389441994 that you have achieved for that classifier.",0,None,2,Fri Mar 11 2016 12:46:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19446,None,None
/chabir,ExtraTreesClassifier002,"sorry to have contribute to mess up the leader-board. I just combined a simple and really good script with some ideas/clues -- all found on the forum & public scripts. Edit 1: All credit are going to their authors ! Original and great script is originally from Yu Hai [Link]:https://www.kaggle.com/yuhaichina/bnp-paribas-cardif-claims-management/extratreesclassifier-score-0-45911 columns removal idea comes from Tibees script [Link]:https://www.kaggle.com/timesler/bnp-paribas-cardif-claims-management/xgboost-15-02-2016 removal of additional columns come from Prof Laurae [Link]:https://www.kaggle.com/c/bnp-paribas-cardif-claims-management/forums/t/19240/analysis-of-duplicate-variables-correlated-variables-large-post Why remove columns ? Since the online Python engine is capped at 1200s, it make sense to remove the columns that are correlated or duplicates to facilitate the decision tree findings and reduce the time of calculation. Adding the columns back shouldn't decrease the score but increase calculation time and may increase score. please correct me if I am wrong. Edit 2: I tried to add the magic [Link]:https://www.kaggle.com/scirpus/bnp-paribas-cardif-claims-management/benouilli-naive-bayes from Scirpus on top. unconclusive yet…",4,bronze,17,Fri Mar 11 2016 16:15:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19447,None,None
/matthewcrowson,Printable Brackets,Jason Sumpter's code from the past few years to print your brackets is always fun. I've added his attachments from last year to this post just for ease of access. Last Year's Post: [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2015/forums/t/12775/printable-bracket-for-r Share your brackets and good luck in your office pool! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111098/3871/bracket.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111098/3872/seedbracket.pdf,3,bronze,2,Fri Mar 11 2016 16:44:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19448,/competitions/march-machine-learning-mania-2016,None
/sanjeevmk,In what way to combine multiple models?,"For a strong classification problem - where we predict 1 or 0 - combining multiple models has some intuitive options , for eg. majority voting, adaboost etc. But for this problem, since we're predicting probabilities, I'm not sure how to combine multiple models. I got 0.457 with single XGB on the leaderboard, but I think going up here would involve ensemble techniques.. And, what are the techniques to get uncorrelated models in the ensemble?",0,None,6,Fri Mar 11 2016 18:52:24 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19449,/competitions/bnp-paribas-cardif-claims-management,1196th
/mightybird,Which models are suitable - in R?,"Hi, so far I used XGB, LR and RF in R. I could not bring Adaboost to run. It always gave me errors which supposedly originate from some rpart parameters, or the lack of them… I suppose SVM is not suitable for logistic regression and probabilities. Or is there some backdoor? I would like to try a neural net, already peeked at ""neuralnet"" but don't have much background there. What else could I use in R? Cheers Gerhard",0,None,1,Fri Mar 11 2016 19:40:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19450,/competitions/santander-customer-satisfaction,942nd
/anokas,EXTREE,You're training on the testing data - that's why this gives such a good score :P,4,bronze,1,Fri Mar 11 2016 21:11:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19452,None,None
/godaibo,ERROR! File is missing 'DICM' marker in test set,Can't load dicom images for 8 patients in test set? Error: File is missing 'DICM' marker. Anyone resolved this?,-1,None,2,Fri Mar 11 2016 22:28:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19455,/competitions/second-annual-data-science-bowl,110th
/kcbeard,test_script_1,"Can someone help me understand this line that builds the classifier? clf = pipeline.Pipeline([ ('union', FeatureUnion( transformer_list = [ ('cst', cust_regression_vals()), ('txt1', pipeline.Pipeline([('s1', cust_txt_col(key='search_term')), ('tfidf1', tfidf), ('tsvd1', tsvd)])), ('txt2', pipeline.Pipeline([('s2', cust_txt_col(key='product_title')), ('tfidf2', tfidf), ('tsvd2', tsvd)])), ('txt3', pipeline.Pipeline([('s3', cust_txt_col(key='product_description')), ('tfidf3', tfidf), ('tsvd3', tsvd)])), ('txt4', pipeline.Pipeline([('s4', cust_txt_col(key='brand')), ('tfidf4', tfidf), ('tsvd4', tsvd)])) ], transformer_weights = { 'cst': 1.0, 'txt1': 0.5, 'txt2': 0.25, 'txt3': 0.0, 'txt4': 0.5 }, n_jobs = -1 )), ('rfr', rfr)]) copy Here's my understanding: CLF isn’t just a forest regressor. It’s a model that consists of a data-preprocessor that builds additional features, and then a random forest regressor. (that’s what pipeline does - it combines multiple transformations and then a final actual estimator). So when you call clf.fit(x, y), it puts the x data through the preprocessor builds some additional features, and then runs the forest regressor with the features in X as well as the additional features constructed. The preprocessor basically does this: 1) takes the input data and extracts all the numerical features it wants by dropping all the other text/unimportant columns (listed in cust_regression_vals().transform), and then applies a weight of 1 to all the numerical features 2) takes the 4 text-based features from the input (search_term, product_title, product_description, brand), runs tfidf analysis, runs SVD to simplify the tfidf outputs, and then applies a weight to it 3) forwards the data columns (which is all the numerical features in X that are also in cust_regression_vals(), as well as the 4 newly computed TFIDF features) to the forest regressor to run it's fitting Is this the correct analysis?",0,bronze,1,Fri Mar 11 2016 22:39:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19456,None,None
/angelchamplain,Evaluation Explanation,"Hi could anyone explain how to use this formula for evaluating a model? logloss=−1N∑i=1N(yilog(pi)+(1−yi)log(1−pi)) And this line as well confuses me: Note: the actual submitted predicted probabilities are replaced with max(min(p,1−10−15),10−15) I can get a prediction output but I'm not sure how to put my predictions for the test data and use that equation to evaluate this. I'm pretty new to this… So any help would be much appreciated!",0,None,1,Sat Mar 12 2016 03:22:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19458,/competitions/bnp-paribas-cardif-claims-management,None
/josecordero,Final leaderboard position,"Hi, I was wondering about the final leaderboard position. Will it take into account only people who make a submission on the test dataset or will it consider alll the participants who made a submission during the validation stage? I am far from the prizes but I could have a chance with top 10% / top 25%. If only test stage is going to be considered, there is a trong self selection so my objective might be further than expected (people with low scores during validation will be less willing to make a submission during test stage). Could someone clarify this? Thanks in advance!",13,gold,15,Sat Mar 12 2016 09:30:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19459,/competitions/second-annual-data-science-bowl,118th
/srt19170,Entry Optimizer,"I'm attaching to this topic an Excel spreadsheet which you can use to help optimize your Kaggle entry. The spreadsheet has two tabs: ""Val Optimizer"" and ""Mix Optimizer"". Instructions are provided within the spreadsheet, but here's a summary: The ""Val Optimizer"" tab takes a set of predictions and tries to optimize performance by putting the predictions through a transform and finding the best clipping range. The transform I've provided is fairly simple, but should provide a starting point if you want to do a more complex transform. The ""Mix Optimizer"" tab takes two sets of predictions and tries to find the best-performing mix of the two. (This could be useful if you wanted to try combining your entry with [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2016/forums/t/19329/please-steal-this-entry for example.) Scoring the entries happens in some hidden columns within the spreadsheet. I think that I've gotten the game results correct, but if somebody wants to double-check my work that would be appreciated! One thing to note is that the prediction inputs to the Val Optimizer don't have to be predicted probabilities -- it will also find the best solution for (say) predicted point spreads. However, if you want to use the spreadsheet for that you should investigate more complex transforms for better results. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111188/3876/kaggle-optimizer-2016-b.xlsx",1,None,2,Sat Mar 12 2016 17:36:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19462,/competitions/march-machine-learning-mania-2016,203rd
/snowdog,What's the LB shakeup potential?,"Hello all, This dataset is not trivial to cross validate, i was getting a 0.02+ difference between cv and LB. In your opinion, what's the potential for overfitting? Can we expect a shakeup like the one on the Prudential comp? Feel free to share your cv methods, if you wish.",1,bronze,12,Sat Mar 12 2016 17:47:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19463,/competitions/home-depot-product-search-relevance,65th
/shreyiitj,what does 0 denotes in data,there are so many zeros in data. does that mean missing of data values?,0,None,1,Sat Mar 12 2016 18:34:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19464,/competitions/santander-customer-satisfaction,4275th
/yejiming,"I can't even beat scripts, : (","Just like 2 years ago when I first came to Kaggle, I tried Titanic, and I can't beat 0.8 benchmark. I must have missed something : (",3,bronze,3,Sat Mar 12 2016 18:45:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19465,/competitions/santander-customer-satisfaction,None
/antgoldbloom,Lets Try Some Clustering,Interesting how noisy the very early years are. I suspect the ~1750s data is very poor quality.,1,bronze,1,Sat Mar 12 2016 19:52:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19466,None,None
/scirpus,Feature Selection - the easy way,For all those that are home cooking the features you use - you might like a quick way of gaining insights into which features to use. Please look as [Link]:http://penglab.janelia.org/proj/mRMR/ You will save yourselves hours of work I promise!,1,bronze,7,Sat Mar 12 2016 20:00:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19467,/competitions/bnp-paribas-cardif-claims-management,115th
/jlrivero60,I am not sure about...,"Hello friends, I am a novice here and I am not sure abour what to include in the submission file. The sample_submission.csv file includes an ID and a TARGET as (0,1) as ""labels"". I have read in some posts you have to submit the prob(x=1) as for instance: ID TARGET 123 0.0003456 Could anyone explain it to me? Thank you and regards. JL",0,None,5,Sat Mar 12 2016 20:37:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19468,/competitions/santander-customer-satisfaction,1396th
/mikebak,How to read in train.csv with Python csv reader?,,0,None,1,Sun Mar 13 2016 00:39:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19469,/competitions/titanic,None
/eviltwin33448,How is the score calculated?,The competition description doesn't mention how the score was calculated. Is it just the accuracy percentage?,0,None,1,Sun Mar 13 2016 01:27:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19471,/competitions/berkeley-cs280-mini-places-challenge,38th
/antgoldbloom,"New York, New York...",Really nice script. Interesting to see the temperature uncertainty chart. Gives a nice visual of when the data starts becoming more reliable. Also nice idea to put dt into a variable importance plot to see it's relative important. Obviously would have been more interesting if we'd provided more data. One suggestion is to better label your plots. There's some good stuff here but it stakes a while to figure out what each chart is showing (I actually looked at your code to figure it out). I suspect this script will be more popular with some labels that make it easier to follow.,1,None,2,Sun Mar 13 2016 01:30:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19472,None,None
/arpangupta87,Xgboost installation on python in Windows7,"Any idea how to easily install xgboost in python in windows7…I have seen in some forum that one needs to install mingw and git …I tried and changed environment variable path as well but it didn't work.,..im using anaconda",0,None,11,Sun Mar 13 2016 05:56:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19474,/competitions/santander-customer-satisfaction,2409th
/nlothian,skflow?,Could we please get skflow ( [Link]:https://github.com/tensorflow/skflow) added for Python? Thanks,0,None,1,Sun Mar 13 2016 06:45:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19475,None,None
/xanderhorn,Different training sets?,"Noob question here, but do the training sets vary from user to user? I worked on this from 2 PC's, downloaded the data on both but found the sets to be different… The one set contains missing values where as the other does not. Has anyone else picked this up? Just to clarify, I used the same account but on 2 different machines.",0,None,12,Sun Mar 13 2016 06:50:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19476,/competitions/santander-customer-satisfaction,599th
/hasangam,How to open this dataset ?,Hi I am new to data science field. I pick this dataset for a business analyze project.It seems this data set quite large and difficult to handle.Any perticuler way to do that.Any tool any software please comment. Regards Methmal,0,None,2,Sun Mar 13 2016 08:32:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19478,None,None
/antgoldbloom,[Deleted Kernel],"Sven, have you been able to figure out an interpretation of this chart?",1,bronze,3,Sun Mar 13 2016 09:15:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19479,None,None
/limexp,Всё дело в золоте,"Не все признаки одинаково полезны. Финальное задание показало, что некоторые можно исключить без существенного влияния на результат (при прочих равных условиях). Стал упрощать. Выкидывать признаки. За основу взял версию логистической регрессии на всех признаках. Оказалось, что исключение столбцов с золотом сильнее всего влияет на итоговый результат. Следующим шагом стал оставлять лишь один из параметров героя. На золоте предсказания оказались лучше всего. Но упрощать, так упрощать! Стал искать простое правило. В итоге оказалось, что по четырём лучшим (в плане золота) игрокам команды можно получить результат 0.71793. # Загрузка необходимых библиотек import numpy as np import pandas as pd # загрузка тестового DataSet из файла X = pd.read_csv('./features_test.csv', index_col='match_id') # метки для индексации labels = [['r1_gold','r2_gold','r3_gold','r4_gold','r5_gold'],['d1_gold','d2_gold','d3_gold','d4_gold','d5_gold']] # получение сумм по четырём лучшим (по золоту) игрокам каждой команды r = X[labels[0]].sum(axis=1) - X[labels[0]].min(axis=1) + 1 d = X[labels[1]].sum(axis=1) - X[labels[1]].min(axis=1) + 1 # Формирование предсказания y_pred = r / (r + d) # Сохранение результата для отправки на kaggle df = pd.DataFrame(data=y_pred, columns=['radiant_win'], index=X.index) df.to_csv('gold_submission.csv') # Результат на kaggle 0.71793 copy Высокого места с таким результатом не занять, но сам признак может пригодиться. Простое добавление в другую модель дало прибавку 0.00074 до значения 0.75953. Продолжаем искать…",2,None,1,Sun Mar 13 2016 10:57:05 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19480,/competitions/dota-2-win-probability-prediction,18th
/skthedataguy,Not able to access Scripts,"I've been facing this issue recently, when I open any script, the share option is not allowing me to interact with the code. I'm not able to close it either. When I scroll the background is moving, I've left it for a while as the code might be compiling in the background but I got the same thing. To get a better understanding of the issue, I'm attaching screenshots. Please Help. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111286/3879/Screen Shot 2016-03-01 at 9.28.10 pm.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111286/3880/Screen Shot 2016-03-01 at 9.28.45 pm.png",0,None,1,Sun Mar 13 2016 11:28:21 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19481,None,None
/unquestionable,xgb.cv gives invalid results (python),"When I measure model performance using xgb.cv, I get 0.840657, but if I submit my predictions to kaggle or perform usual validation, I get about 0.697038. So the question is why? Here is my code: cv_result = xgb.cv(params, data['train'], num_boost_round, nfold=5, metrics='auc', verbose_eval=2) auc_cross_validation = cv_result['test-auc-mean'][len(cv_result) - 1] manual_validation_data = data['manual_validation'] fit = xgb.train(params, manual_validation_data['train'], num_boost_round, verbose_eval=2) predictions = fit.predict(manual_validation_data['validation']['features']) auc_validation = metrics.roc_auc_score(predictions > .5, manual_validation_data['validation']['response']) print ""Cross-validation auc when using xbg.cv: %f"" % auc_cross_validation print ""Validation auc: %f"" % auc_validation copy The output is: Cross-validation auc when using xbg.cv: 0.840657 Validation auc: 0.697038 Full code (with necessary reprocessing) can be found here: [Link]:https://gist.github.com/yuriiandrieiev/bf424d21fac24e7b8eba",0,None,4,Sun Mar 13 2016 12:32:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19482,/competitions/santander-customer-satisfaction,2603rd
/neoneuro,Titanic Data Mining in one click! Create Excel formula with NeoNeuro!,Comprehensive Titanic dataset analysis in new and free application Neoneuro: [Link]:http://neoneuro.com/en/data-mining/titanic [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111295/3882/analysis.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111295/3883/googlespread.png,0,None,1,Sun Mar 13 2016 12:57:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19484,/competitions/titanic,None
/nadbor,Stacking information leak?,"My CV and my LB scores differ considerably but it's MUCH worse when I'm doing stacking. With stacking, my LB is 0.1-0.15 behind my CV (which is a simple KFold with 4 folds). It was the same with Prudential competition. I'm beginning to think there is something wrong with my stacking code, but I can't see anything. Here's the code: import numpy as np from sklearn.cross_validation import KFold def mini_train_predictions(model, X, y, train_test_folds): ind2pred = {} for i, (train, test) in enumerate(train_test_folds): model.fit(X[train], y[train]) preds = model.predict(X[test]) for i, p in zip(test, preds): ind2pred[i] = p return np.array([ind2pred[i] for i in range(len(y))]) class Stacker(object): def __init__(self, stacker, base_models, folds=4): self.folds = folds self.base_models = sorted(base_models) self.stacker = stacker def fit(self, X, y): folds = list(KFold(len(y), n_folds=self.folds, random_state=0)) base_preds = [mini_train_predictions(m, X, y, folds) for m in self.base_models] n = len(y) XX = np.hstack([X] + [p.reshape(n, 1) for p in base_preds]) self.stacker.fit(XX, y) for m in self.base_models: m.fit(X, y) return self def predict(self, X): n = X.shape[0] XX = np.hstack([X] + [m.predict(X).reshape(n, 1) for m in self.base_models]) return self.stacker.predict(XX) copy It follows sklearn conventions (more or less). Here's how it's used: model = Stacker(LinearRegreesion(), [SVR(), ExtraTrees(), LinearRegression()]) copy Am I doing stacking wrong? Is anyone experiencing anything like this? To clarify, I do see an improvement in LB after applying stacking but it's tiny, while on CV it's pretty big.",1,bronze,3,Sun Mar 13 2016 14:47:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19485,/competitions/home-depot-product-search-relevance,164th
/sujiths52,"Hello I am a beginner , I have a few quesitons before i can proceed further. ",I have always worked with datasets that deals with numerical values. The data presented here was interesting because it had string attributes like addresses and dates and time . How can I encode these values to proceed further. Thanks,0,None,4,Sun Mar 13 2016 14:54:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19486,/competitions/sf-crime,1229th
/secondbest,Signup extension?,"Just wondering if I can petition for a late entry here. Apparently I missed yesterdays deadline, thought we at least had til selection Sunday to enter.",0,None,4,Sun Mar 13 2016 22:12:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19489,/competitions/march-machine-learning-mania-2016,None
/octonion,Deadline,The deadline was before the brackets were selected?,0,None,3,Mon Mar 14 2016 00:50:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19492,/competitions/march-machine-learning-mania-2016,None
/liaofz,I am a member of show_me_the_money,"As some of you may notice, the team show_me_the_money is consist of only one member Aaron Chen. But actually I am also a member of this team, but I encountered a bug and failed when joining the team. The reason is that when he created the team and invited me, I receive a e-mail(Feb 26) saying ** To join this team and participate, all you need to do is click on this link: [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/team/code/***** ** well, I was quite busy at coding at that time, so I am happy to see all you need to do ….. So I click this link and continued coding. But after several days, I found myself blocked from the competition, so I realized that the team merging failed. I should have clicked a verify button on the webpage opened. Then I contacted the kaggle support(Mar 2), but he refused to add me to my team. At that time, we ranked very low(around 40), so I didn't argue further. Now we have reached top 1 in this small test dataset, and has the probability to be top 3 in final result. This honor becomes important to me, so I come here and ask again: could you add me to the team?",0,None,2,Mon Mar 14 2016 06:42:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19494,/competitions/second-annual-data-science-bowl,None
/aaronxic,The final rank and prize?,"Hi, I want to verify one thing: the final leader board consists the team with model uploaded and those who didn't. What about a team without a model reached top 3? Will the prize be cancelled or given to the next team with uploaded model?",-2,None,13,Mon Mar 14 2016 06:54:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19495,/competitions/second-annual-data-science-bowl,4th
/rgururaghav,BEGINNER  - DATA SCIENCE,"Hi All, I am Guru. currently I am working in a Automobile (Tier-1) company as Sourcing / Supplier development Engineer since 2010. So my area of expertise is Supply chain/ Suppler management/procurement. Recently I have been reading lot of articles about data science & Big data. Now I wanted to be ""data scientist"" & get to know more about analytics in Supply chain. Please suggest me any basic courses which gives introduction about data science, & what are the courses should I do to become a data scientist. Thank you",0,None,1,Mon Mar 14 2016 10:16:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19497,None,None
/breakfastpirate,Groups of rows with identical values,"By my calculation, of the 76,020 rows in the training set, there is a group of 689 rows that all have the same values for all the features (excluding ID and TARGET). Then there is another group of 154 rows with a slightly different set of values, and another group of 134 with another slightly different set of values. These are probably the rows that have the most-commonly-occurring value for each feature. train <- read.csv(""train.csv"") # Find all pairs that are the same t1 <- merge(train,train,by=setdiff(names(train),c('ID','TARGET'))) # Exclude pairs with the same ID t2 <- t1[t1$ID.x != t1$ID.y,] # Find average TARGET for each group of identical rows t3 <- aggregate(TARGET.x ~ ., data=t2[,setdiff(names(t2),c('ID.x','ID.y','TARGET.y'))],mean) # Find count of pairs for each group of identical rows t2$pair_cnt <- 1 copy t4 <- aggregate(pair_cnt ~ ., data=t2[,setdiff(names(t2),c('ID.x','ID.y','TARGET.y','TARGET.x'))],sum) t5 <- merge(t3,t4) t5 <- t5[order(t5$pair_cnt,decreasing=TRUE),] head(t5) t6 <- merge(train,t5) table(t6$pair_cnt) copy Note: 474,032 pairs = 689 * 688.",5,bronze,6,Mon Mar 14 2016 13:15:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19499,/competitions/santander-customer-satisfaction,7th
/,,,2,bronze,43,Mon Mar 14 2016 15:17:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19500,None,None
/jeffmoser,[Deleted Kernel],Interesting visualization. Nice job! It certainly raises awareness of just how prevalent cancer (malignant neoplasms) is in US deaths. One suggestion is to create an animated version of this word cloud where the time dimension is Age in years as in [Link]:https://www.youtube.com/watch?v=hVimVzgtD6w#t=4m15s. I think it'd tell a very interesting variation over time.,0,None,5,Mon Mar 14 2016 15:20:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19501,None,None
/mezianek,Teams utility ? ,"Hi everyone, I am new in Kaggle challenges, that's why I am going to ask a basic question : what is the utiilty to create a team ? What would it offer me ? Thank you for your answers.",-1,None,7,Mon Mar 14 2016 15:44:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19502,/competitions/santander-customer-satisfaction,2962nd
/hyperborean,Best non-NN results?,"Once final results are revealed, I'd love to know how well approaches NOT based on neural networks did. Did any make it into the top 10? My own attempt, such as it is (let's just say I'd be very happy if it managed to stay under 0.03) was all ""classic"" computer vision - it's an orgy in FFTs, clustering, interpolation, contour finding, region labeling and manipulation, with a smattering of plain vanilla classification and regression on top. Most of the development time went into dreaming up and trying features for LV identification and segmentation. The hardest part was reliably separating LV from RV and arteries. I'm pretty sure NN approaches had a huge advantage there. Biggest lesson learned, unless somebody managed to do significantly better without NNs: I have to get myself one of them newfangled GPUs. :D",5,silver,7,Mon Mar 14 2016 15:50:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19503,/competitions/second-annual-data-science-bowl,73rd
/garygunnsap,2016 Data Files,When should we expect the updated data files to go online?,0,None,3,Mon Mar 14 2016 16:10:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19504,/competitions/march-machine-learning-mania-2016,589th
/mezianek,Additional variables,"Hi everyone, I am interested in what kind of additionnal data did you use for that challenge. Because, what they gave us is really not enough to overpass an accuracy of 50% (which is really poot to me). However, I don't see what else we could use. Teams level are represented by those odds. What can help us to predict a football match score except teams level ? Very difficult question. Thank you.",0,None,4,Mon Mar 14 2016 17:05:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19505,/competitions/football-data-challenge,5th
/zoupet,LF Team,"Hi, i'm looking for a team for this comptetion. I code with python, i have XGB, Keras etc… I need teamate with a little experience. French guys or not. This is my Email address: [Link]:mailto:julien.heiduk@gmail.com if you need more information.",0,None,1,Mon Mar 14 2016 17:10:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19506,/competitions/santander-customer-satisfaction,2738th
/annavictoria,Batting Average Variation over Careers,"It looks like players retire fairly quickly after their batting average sinks (1-2 seasons). I was surprised by that as it seems, observationally, like a lot of players stick around a lot longer. What do you make of that?",3,bronze,1,Mon Mar 14 2016 17:31:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19508,None,None
/annavictoria,Most Cumulative Strikeouts by Age,This visualization is really neat! I'd like to fork it and try it on other stats…,0,None,1,Mon Mar 14 2016 17:38:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19509,None,None
/ryanzotti,Performance relative to Vegas spreads,"I have access to spread data going back to 1985, and when I do a comparison of spread performance to seed performance (using the Kaggle ""simple seed"" benchmark formula), the spread consistently has a log loss edge over seeds by about 0.025 each year. In their interview ( [Link]:http://blog.kaggle.com/2014/04/21/qa-with-gregory-and-michael-1st-place-in-march-ml-mania/), the 2014 winners acknowledged the superiority of the spreads relative to their own predictions; Greg Matthews: ""The Las Vegas line is absolutely incredible at predicting games. As they say, if you can’t beat them, use their data in a Kaggle contest."" Assuming the difference between spreads and seeds is consistent each year, we shouldn't expect ""One shining MGF"" to perform more than 0.025 points better than the seed benchmark (because that's how good the spreads would be). Instead, One shining MGF performed 0.07 points better, over double the difference! The same thing happened in 2015. Is this magnitude solely due to their ensemble technique? I know that ensembles are good, but I would be surprised if the ensemble was that good. I also noticed that they had two entries, and nearly everyone else in the top third also had two entries. For comparison, I scraped Google Maps for distance data and did a bunch of other time-consuming, complex predictors (primarily stealing from Nate Silver's ideas) and my single entry was in the bottom third. I've tried various ensembles for this competition and have gotten consistently mediocre results. I've been building models for over four years to beat the NBA spreads, and what I can say from experience with the NBA is that it's extremely difficult to beat the spreads consistently. Basically my question is, are the leaders' ensembles as good as the (private) leaderboard suggests, or is everyone with two entries simply getting lucky and/or being risky? I don't mean to sound like I'm whining/complaining. In fact, if the ensembles are truly that good, then I would take that as a good thing: I should spend much more time on ensembles in my other projects than I currently do, and I might be even be able to beat the NBA spreads. On the other hand, if manual tweaking is the main source of gain, then I should focus more on that then outlandish predictors (like travel distance and injuries, etc).",0,None,8,Mon Mar 14 2016 18:25:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19511,/competitions/march-machine-learning-mania-2016,49th
/hubbitus,"Добавление признаков возможно из сырых JSON данных, или можно вводить только агрегаты?","Спрашивал здесь - [Link]:https://www.coursera.org/learn/vvedenie-mashinnoe-obuchenie/discussions/RsavKteLEeW17wrgkMLDIQ?sort=createdAtDesc , но никто не ответил :( А подскажите пожалуйста, в исходных json данных есть куча признаков, которые не вошли в csv вариант, и главное в данные тестовой выборки. Для неё же нет исходного набора в json? Например имеется полный лог покупки предметов, а не только 4х, что есть в задании. Изменив скрипт мы можем добавить их в обучающую выборку, но не в тестовую. И это нам уже никак не поможет, верно? Правильно я понимаю, что в этой ситуации мы можем опираться только на те признаки, которые в тестовой есть, или для неё тоже можно откуда-то сконвертировать больше данных? Я не говорю об ответах, но может есть полные JSON данные, коткуда по match_id можно также добавить признаков?",1,None,3,Mon Mar 14 2016 20:09:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19513,/competitions/dota-2-win-probability-prediction,288th
/spammy,(Almost) post competition question: why no pretrained CNNs?,"Now that this competition is almost over, I've been thinking ahead to future Kaggle competitions and wondering why there was a prohibition in this competition on using pretrained CNNs? After all, this is now a commonly used technique and since it still requires skill in tweaking hyperparameters and even CNN structure for a specific problem, it doesn't make a lot of sense to keep it out of the competition. Banning pretrained networks seems, at least to me, to make as much sense as banning the use of NN libraries like Caffe or Tensorflow.",-1,None,3,Mon Mar 14 2016 20:35:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19514,/competitions/second-annual-data-science-bowl,None
/wcukierski,Stage 2 (2016 Tournament) is open,"Updated 2016 data is now on the competition [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2016/data and will soon be pushed to the scripts environment. Let us know if you spot any data issues. You have unlimited submissions until the deadline on Wednesday. Your submission is in the correct format if it parses and scores 0. For stage 2, you must select 2 of your submissions to count towards the finals. Do not rely on Kaggle to automatically select, as there is no public leaderboard score which the system can use to choose. Good luck!",3,bronze,9,Mon Mar 14 2016 22:03:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19515,/competitions/march-machine-learning-mania-2016,None
/atonio,Santander - Starter,"Hello Florian, thanks for sharing. Look, there is half a bug in your code. As long as you wish maximize auc, set param maximize to TRUE",0,None,4,Mon Mar 14 2016 23:19:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19516,None,None
/wcukierski,Thanks and congrats,"On behalf of Booz Allen Hamilton, Kaggle and the National Heart, Lung, and Blood Institute (NHLBI), thank you for participating in the second annual Data Science Bowl! We appreciate the time you took to participate in this year’s competition. We know it was a complex design and recognize that two stage competitions bring their own set of frustrations. Ultimately, this design is what allowed us to run an impactful imaging challenge. You should feel an immense sense of pride for taking a step towards transforming the way that we diagnose heart disease. We extend a special congratulations to those who have placed in the top 10 on the leaderboard. We will be reaching out to the top three winners individually and will publicly name the winning teams on Monday, March 21st.",13,gold,7,Tue Mar 15 2016 01:04:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19517,/competitions/second-annual-data-science-bowl,None
/de317070,Blog post on how to get second place apparently,"Hey everyone, First of, congratulations to the winners! You did an awesome job, and we still haven't figured out how to get our scores that low! We are looking forward to hearing how you did it. :-) Here's a blog post describing our approach in some detail: [Link]:http://irakorshunova.github.io/2016/03/15/heart.html and [Link]:http://317070.github.io/heart/ Code and documentation to reproduce our solution will follow soon! Edit: the code and documentation of our solution: [Link]:https://github.com/317070/kaggle-heart",25,gold,18,Tue Mar 15 2016 01:18:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19519,/competitions/second-annual-data-science-bowl,2nd
/brackethacker,How to provide full legal name?,From the Rules page: You must be willing to provide your full legal name to Kaggle prior to the 2016 tournament. Prizes will only be awarded payable to this name. Does anyone know how we would provide our full legal name? I don't see a field in my account for that.,3,bronze,4,Tue Mar 15 2016 01:29:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19520,/competitions/march-machine-learning-mania-2016,94th
/iamthep,Some outputs of my model,I imagine there are going to be a lot of innovative solutions to this competition. I wanted to post a few outputs of my neural network as I thought they were interesting. The output are volume estimates at 1mm intervals along the long axis of the left ventricle. Left ventricle ROI was determined by cross-section of 4Ch and 2Ch views. First some good results: [Image]:http://i.imgur.com/Efvy7R5.gif [Image]:http://i.imgur.com/msoBmuH.gif [Image]:http://i.imgur.com/yE1QYI6.gif [Image]:http://i.imgur.com/MehFshO.gif Here are a few failure cases: Bad Left Ventricle ROI: [Image]:http://i.imgur.com/VTJzaJ3.gif Last Sax Slice not within 10mm of end of heart: [Image]:http://i.imgur.com/79HuRFy.gif I hand labeled 200 of the hearts and then used that data to bootstrap to the entire 1-700 hearts. I will post a blog about the method at some other point. I think this method has a lot of room for improvement.,2,bronze,2,Tue Mar 15 2016 02:44:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19522,/competitions/second-annual-data-science-bowl,5th
/halfwit,Accurate to within ~10% is impressive,"Does anyone else think this is pretty impressive? When I considered that the manual labeling would be necessarily idiosyncratic, with a lot of judgement calls on the edge cases, I didn't think it possible on the test dataset. Congratulations to everyone near the top.",2,bronze,3,Tue Mar 15 2016 02:50:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19523,/competitions/second-annual-data-science-bowl,45th
/myloginid,Mismatch Between Local and LB Scores,"Hi, I have 2 xgboost models with the same parameters except the eta. One with eta of 0.005 and another with eta of 0.01. Ideally speaking with all other values constant, lower eta should and does give me a better local CV Score. My remaining parameters of nfolds, data processing steps etc all remain the same in both cases. mymod = xgb.cv( params = param1, nrounds = iter, nfold = 5, data = xgtrain, early.stop.round = 20, nthread = 12, print.every.n = round(iter)/10 ) param1 <- list( ""objective"" = ""binary:logistic"", ""eval_metric"" = ""logloss"" , ""eta"" = 0.005 , ""subsample"" = 0.9 , ""colsample_bytree"" = 0.9 , ""min_child_weight"" = 1 , ""max_depth"" = 10 ) train.logloss.mean train.logloss.std test.logloss.mean test.logloss.std 1: 0.325837 0.002444 0.463021 0.003421 param2 <- list( ""objective"" = ""binary:logistic"", ""eval_metric"" = ""logloss"" , ""eta"" = 0.01 , ""subsample"" = 0.9 , ""colsample_bytree"" = 0.9 , ""min_child_weight"" = 1 , ""max_depth"" = 10 ) train.logloss.mean train.logloss.std test.logloss.mean test.logloss.std 1: 0.349964 0.001004 0.461991 0.00336 However surprisingly in the LB, I get for param1 a LB score of 0.45815 and for param2 a LB score of 0.45931. Any clues on why such a thing would happen?.. Thanks, Manish",0,None,3,Tue Mar 15 2016 08:27:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19525,/competitions/bnp-paribas-cardif-claims-management,838th
/mylesoneill, Center for World University Rankings ,I really like the charts you set up in this script! Have you considered creating similar plots for the other ranking systems?,0,None,1,Tue Mar 15 2016 08:32:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19526,None,None
/mylesoneill,My University's Ranking Over Time,If you fork this script and change the university name variable at the top you can see any university's rankings over time!,0,None,3,Tue Mar 15 2016 08:36:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19528,None,None
/arpangupta87,Looking for team,Anyone interested to form a team….????,0,None,1,Tue Mar 15 2016 09:47:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19529,/competitions/bnp-paribas-cardif-claims-management,376th
/juliandewit,3rd place quick summary,"Hello here a quick summary of my solution. This thing was that I used only one model. This was both cool and stupid at the same time.. The basic gist: Preprocessing Scale images to real sizes using provided pixel areas in dicom. Crop 180x180 center. Use CLAHE on the images to get good local contrast. Hand labeling Label all train patients frame 1 and frame 12. I already had a lean-and-mean labeling tool that allowed me to label very fast. The big problem was that I did not know how to label. I tried to label as consistently as possible and then later on adjust systematic errors with a calibration step. Pixelwise segmentation with U-net Use a U-net for pixel segmentation (LV yes/no). [Link]:http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/ I consider this architecture the state of the art in pixel segmentation. I implemented the U-net in MXNET which was a breeze to work with. big recommendation. Everything in the U-net paper was useful except that I was lazy with the weight initialization and relied on Batch Normalization. Integration to a volume After the pixel segmentation I counted the LV pixels and integrated over the slices. This is easier said then done since many slices were missing. Slice location was not 100% dependable. Order etc etc. A lot of work had gone in slice management. Pandas was invaluable for this. Calibration After I had the predictions I did a calibration step to work out systematic labeling errors. I did this by regressing over the residuals with a gradient booster with some features like age, sex etc. Submission Use the stdev in the errors (sliding window over heart size) and plug that in a CDF to generate predictions. Conclusion Performance was only limited by the following issues : I did not know how to label. I'm not a doctor. Some labels were provided wrongly (429!!) Corrupt scans/slices. MAE in ml was roughly 9 ml. Thanks Kaggle and Booz Allen Hamilton for this cool challenge. Mxnet The authors of the U-net paper.. Sander Dieleman for pointing it out in reddit. Shoutout [Link]:https://www.kaggle.com/Leustagos Leustagos advised me to join a team to get more different models so that I could maybe push for the win. Because big ego and my blind confidence in my single model I continued on my own. You will not believe how many times I banged myself on the head last week when I suddenly dropped to #16. In the end it I'm glad it all turned out well but in hindsight you were so right!",25,gold,14,Tue Mar 15 2016 10:06:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19530,/competitions/second-annual-data-science-bowl,3rd
/del=36e817f2000d7711,Is there a way to know what each features stands for,Hi I am new to Kaggle. Was trying to find an explanation of each feature but failed.,0,None,1,Tue Mar 15 2016 10:52:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19531,/competitions/bnp-paribas-cardif-claims-management,None
/wcukierski,Legal Name Instructions & Submission Selection Reminder,"This is a friendly reminder that the deadline to submit is tomorrow (March 16, 11:59PM UTC). In addition to getting your submissions in, you should read and follow the 2 bolded steps below. In order to be prize eligible, your team must provide Kaggle with your legal name(s). This process is meant to reduce multiple account cheating. Prizes will only be paid to the names you provide before the tournament. To provide your name: Save your name(s) in a text file. Click [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2016/model in the menu. Upload the text file with your name. Once complete, your team will have a '‡' symbol next to it on the leaderboard. This competition requires that you manually choose up to 2 entries that count towards the final standings. You should not rely on automatic submission selection for this competition. To choose 2 entries: Visit your [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2016/submissions. Click the checkbox next to the relevant entry to select it. Click the ""Submit Selection Changes"" button.",1,bronze,14,Tue Mar 15 2016 15:19:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19533,/competitions/march-machine-learning-mania-2016,None
/ahmedameen,Using XGBoost to get 0.43902,Here is my notebook. [Link]:http://nbviewer.jupyter.org/github/ahmedameen/kaggle-scripts/blob/master/Otto-group-product-classification-challenge/Otto%20challenge%20Script.ipynb,2,None,2,Tue Mar 15 2016 16:44:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19534,/competitions/otto-group-product-classification-challenge,None
/omarsultan,Column Value Analysis,This is a simple script that can help you understand the type of values and frequency of values in each column.,0,None,7,Tue Mar 15 2016 17:16:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19535,None,None
/harvitronix,Anyone create a script to turn projections into an actual bracket?,"I'd love a way to turn my projections submission file into a visual bracket, showing which team advances in each round, and at what probability. ( [Link]:https://www.bing.com/search?q=March%20Madness%20bracket&FORM=MO12C4&OCID=MO12C4&wt.mc_id=MO12C4, click Bing Predicts) Has anyone created a script/tool to do that? Cheers!",0,None,14,Tue Mar 15 2016 17:33:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19537,/competitions/march-machine-learning-mania-2016,63rd
/vince0,Submission data sorting?,"Does the data in the submission file need to be sorted in numerical order by team1, as in the sample submission? Or is any order acceptable as long as team1 < team2 for each data point?",0,None,2,Tue Mar 15 2016 18:11:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19539,/competitions/march-machine-learning-mania-2016,11th
/taffeylewis,Bluefool is everywhere!,hahaha! [Link]:http://fivethirtyeight.com/features/how-a-data-scientist-whod-never-heard-of-basketball-mastered-march-madness/,12,gold,8,Tue Mar 15 2016 19:18:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19540,/competitions/march-machine-learning-mania-2016,27th
/zfturbo,Location of left ventricle using only DICOM data,"The main idea of finding left ventricle is following: SAX, 2CH and 4CH views contains left ventricle 2CH perpendicular to SAX and 4CH perpendicular to SAX 2CH and 4CH planes form an angle as well We only need to find the point, where all planes intersect – this will be the point where left ventricle is located. And we have all the data for this task in DICOM file. We need the following: ImageOrientationPatient – all the data to construct 3D-plane ImagePositionPatient – point defining left-top pixel of image on 3D-plane PixelSpacing – pixel scale Rows, Cols – number of rows and cols in image Find line segment of 2CH intersection with SAX. Project it on SAX-plane. The same for 4CH. Next, find the place where these projection lines are intersected on 2D image. [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/3916/1_sax_57.jpg [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/3917/4_sax_6.jpg The same way it can be used for 2CH and 4CH analysis. [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/3918/1.jpg Code: [Link]:https://github.com/ZFTurbo/KAGGLE_DSB2/blob/master/find_ventricle_location.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111617/3916/1_sax_57.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111617/3917/4_sax_6.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111617/3918/1.jpg",8,silver,5,Tue Mar 15 2016 19:46:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19541,/competitions/second-annual-data-science-bowl,8th
/jeffsonas,Reminder From Contest Organizers - PLEASE READ!,"Please remember that even if you have uploaded your predictions for Stage II, there are still some other things you must take care of before the submission deadline. Two biggies: (1) You should have received an email from Kaggle within the past 24 hours, with the subject line ""March Machine Learning Mania - Deadline is tomorrow"", informing you that you need to upload your legal name in order to be prize eligible. Please follow the instructions in this email. If for some reason you didn't receive the email, check your Spam folder, or alternatively you can also use [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2016/model to get to the right place. It is a standardized screen that Kaggle uses for allowing participants to upload specifics about their submission, and in our case we are using it so we can collect your legal name. We need to do this for purposes of prize distribution, so if you want to be eligible for prize money, you must provide this name in advance of the submission deadline, so we can prepare the prize checks properly. (2) There is no practical limit to the number of contest submission files you can upload, prior to the submission deadline just before midnight (UTC) on Wednesday night. However, you cannot exploit this fact to gain a competitive advantage, because there will only be a maximum of two submissions eligible to win a prize, and those two MUST be specified PRIOR to the submission deadline. Please do not assume that Kaggle will do this for you; we don't know anything about your models or how well they have performed during your testing, and there is no public test set that we could evaluate them on ourselves. You will not be able to talk your way into getting particular models or submission files selected after the fact, if you didn't do it yourself before the submission deadline. You must do it yourself. Go into the [Link]:https://www.kaggle.com/c/march-machine-learning-mania-2016/submissions page, mark the checkboxes for the one or two submissions you would like to specify for prize eligibility, and then click the button below to submit those selections. And please don't leave this to the last minute; who knows what the server load will be like in the final 10 seconds of the contest? Please go take care of this, in advance, and set your selections early; you can always come in later and change the selections if you have a last-minute insight or breakthrough. Okay, those are the two big-ticket items that you must take care of, before the submission deadline in just over 24 hours from now. But there are a few other things I want to point out. (3) In order to give as wide a submission window as possible, you are allowed to submit predictions even after some of the play-in games (Tue/Wed of this week) have begun. Because of this, the play-in games are not included in the scoring function. Only the final 63 games, once the final field of 64 teams has been determined, will be scored. So in fact those four games are the only four matchups, out of the 2,278 possible, that we know for sure will be played, and conversely that we know will be ignored by the scoring function. So if you are wondering how you are doing, and you try to calculate it yourself, remember to exclude the play-in games from consideration. This also means there is no advantage to waiting until the play-in games are done and then submitting 100% predictions for the winning teams in those play-in games; these games are not counted in the scoring! (4) Remember that per the contest rules, we are entitled to distribute your one or two specified sets of predictions, and we are planning to release the entire set of specified predictions as an official Kaggle dataset. We encourage you to take these (once they are available) and run with them, providing visualizations, what-if-analysis, classification trees, etc., to try and make sense of everyone's chances as the tournament progresses. I would also remind you that if you break the contest rules in some way, your submissions will be forever accessible and visible for analysis via these datasets, so please follow the contest rules!",4,bronze,3,Tue Mar 15 2016 22:23:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19543,/competitions/march-machine-learning-mania-2016,86th
/howardreuben,Labels for final test set,Please excuse if this has already been asked or if the answer is comprehended elsewhere: will the labels for the final test set be made available? Thanks.,1,bronze,1,Wed Mar 16 2016 00:45:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19544,/competitions/second-annual-data-science-bowl,None
/rahuld,exploring paribas data,"can you explain why you did not consider v91,v107,v110 as potential predictor variables ?",0,None,1,Wed Mar 16 2016 00:51:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19545,None,None
/colincarroll,Entry Browser,"Hey all -- resurrected a project from last year that allows you to view your picks pretty interactively. This can be helpful for either sanity checking, filling out a traditional bracket, or sharing your picks with friends. The repo is here: [Link]:https://github.com/ColCarroll/tourney_viewer This includes directions for running the site. A live demo using a sample submission is here: [Link]:http://colcarroll.github.io/tourney_viewer/ Suggestions and pull requests welcome!",4,bronze,3,Wed Mar 16 2016 01:44:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19546,/competitions/march-machine-learning-mania-2016,131st
/charlesroberson,Tournament simulations,"IIRC, last year, somebody had a program that would simulate the tournament multiple times to produce probabilities for each team going all the way. Anybody go this?",1,bronze,2,Wed Mar 16 2016 02:01:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19547,/competitions/march-machine-learning-mania-2016,171st
/jeffmoser,Age and Manner of Death,Interesting query! I like how you grouped by age. One suggestion is that this might benefit from a visualization if you want to load it into R and use ggplot2 where each manner is its own color/curve (and age is X axis). You can see an example of how to get started with that [Link]:https://www.kaggle.com/jeffmoser/d/cdc/mortality/death-likelihood-by-age/code. It might be good to save both the CSV and the visualization in your outputs. They both tell an interesting story.,1,bronze,2,Wed Mar 16 2016 02:07:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19548,None,None
/malopra,Avoid Collinearity-Minimum Impact of NA,"Hello Giridhar, How did you separate three groups based on NA? Did you write a script for it? Thx!",0,None,3,Wed Mar 16 2016 05:59:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19550,None,None
/andr3w321,Converting spreads to win percentages and vice versa,"I spent entirely too long trying to figure this out so hopefully this will be helpful to some of you. I found the easiest way to convert spreads to win percentages is using the a cdf function and inverse cdf function. You have to to guess the standard deviation and the mean should be 0. I found a standard deviation of around 10.5 to work decently for the data I had. For example, a team favored by 8 points should win about 78% of the time. In python >>> scipy.stats.norm(0,10.5).cdf(8) 0.77694157613935833 >>> scipy.stats.norm(0,10.5).ppf(0.777) 8.0020556804482013 copy In excel =normdist(8, 0, 10.5, True) =norminv(0.777, 0, 10.5) copy",0,None,6,Wed Mar 16 2016 07:13:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19551,/competitions/march-machine-learning-mania-2016,391st
/wx12936,Logistic Regression & Softmax Regression,"Hi, We all know that logistic regression for binary classification and softmax regression for multi-class problem. Would it be any differences if I train several logistic regression models with the same data and normalize their results instead of using one softmax model. I assume it would be of no differences. I would say : ""all the multi-class classifier is the cascading result of binary classifiers"". (except neuro network) Am I right? B.rgds Xuan",0,None,1,Wed Mar 16 2016 07:55:18 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19552,None,None
/insaff,Why cross validation result shows high accuracy while there is overfitting?,"I'm using random tree algo. Training set contains about 40 columns. I believe result of predicting on X_test should give same amount of ""0"" and ""1"". clf = RandomForestClassifier(random_state=1, n_estimators=350, min_samples_split=6, min_samples_leaf=2) scores = cross_validation.cross_val_score(clf, x_train, y_train, cv=cv) print(""Accuracy (random forest): {}+/-{}"".format(scores.mean(), scores.std())) copy Accuracy (random forest): 0.960755941369/1.40500919606e-06 clf.fit(x_train, y_train) prediction_final = clf.predict(X_test) # this return Target values: 76k Zeroes and only 15 ones #x_test is 10% of x_train set preds_test = clf.predict(x_test) print ""precision_score"", precision_score(y_test, preds_final) print ""recall_score"", recall_score(y_test, preds_final) copy precision_score 0.0; recall_score 0.0 As far I can see, there is the overfitting problem, but why doesn't cross validation detect it? Even standard deviation is very low. So how can I fix that problem? P.S. I've tried to take 3k rows with ""0"" and 3k with ""1"" - as training set, model is much better, but this is not solution.",0,None,4,Wed Mar 16 2016 12:58:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19554,/competitions/santander-customer-satisfaction,2217th
/yoyoismee,Is it ok to Use/Modified code that shared in the forum?,I'm new to Kaggle and i see a lot of interesting technic in this forums so I wonder if I can use it or not? thank.,0,None,2,Wed Mar 16 2016 13:04:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19555,/competitions/santander-customer-satisfaction,188th
/arpangupta87,Looking for team,I'm looking for a team member….anyone there????? Hello hello …is there anybody in there…just knock if u can hear me :-),0,None,6,Wed Mar 16 2016 14:17:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19557,/competitions/santander-customer-satisfaction,2409th
/jaypeedevlin,[Deleted Kernel],[post deleted],0,None,4,Wed Mar 16 2016 15:30:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19559,None,None
/sushize,Problem about accessing kaggle script using Chrome,"Dear Kaggle Admins, Recently, I came across a problem about using/accessing the kaggle scripts via chrome browser. In particular, when I open a kaggle script (any one), it will display a box about ""sharing it in twitter/facebook"", and the annoying issue is that this box could not be closed although it does have a ""X"" button! I did try to click on the ""X"" button, but no response at all. And consequently, I could not use the kaggle script function since this box has to be closed in order for me to access the kaggle script. I have attached one picture here to illustrate this issue. It would be good if kaggle could double check the implementation (e.g., make the ""X""button to close the box responsive), or just let me know how to deal with such a problem. Thanks in advance! And I am wondering whether other competitors come across similar issue as this? I searched but didn't find any kaggle forum posts talking about this…. Best regards, Shize [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111741/3925/Kaggle_Script_Issue.png",0,None,2,Wed Mar 16 2016 15:44:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19560,/competitions/march-machine-learning-mania-2016,206th
/yangnanhai,Team up,"70th now. Want one or two teammates(top 120) to enjoy this competition. If you're good at feature selection or tuning parameters and want to join me, contact me .",0,None,1,Wed Mar 16 2016 16:53:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19561,/competitions/bnp-paribas-cardif-claims-management,39th
/masterliu,"Do those guys with LB 0.42,0.43 find any magic features?","My LB score only got improved by 0.003 with stacking and it's still 0.45x, so i doubt if there're still some magic features to find, since a lot of guys's score is 0.42x, 0.43x.",1,None,67,Wed Mar 16 2016 16:58:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19562,/competitions/bnp-paribas-cardif-claims-management,208th
/jjoliver,Difference in Accuracy score pre and post upload,"Morning all, This sounds like quite a stupid question but hold on in there. This is my first comp and so I'm just trying to get a feel for what is normal. I build my forest and have already created a seperate testing data set. When I run my prediction, I get a result of 87%. I'm super happy with this. I then load to Kaggle and get a lower result of 77% ;-(. I know the competition uses only half the data to evaluate at this point and then it will use the rest later, but I'm surprised there's such a massive variance in my scores. I'd previously had 83% on my self constructed dataset and got 77% when uploaded, which seemed OK but the gap is very surprising. I'm not overfitting to my test data set as I've not investigated the variance and adjusted the model to fit. Thoughts? Does everyones's submissions behave in this way? JJ",0,None,2,Wed Mar 16 2016 18:33:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19563,/competitions/titanic,None
/taffeylewis,Gambling or not?,"In the absence of an overwhelming favorite (viz. Kentucky last year), I'm curious how many people are taking a gambling-based approach to minimizing their logloss this year. For my predictions, the only ones I felt comfortable gambling on were the 1vs16 matchups. In the end, I didn't even bother doing that.",0,None,4,Wed Mar 16 2016 19:43:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19564,/competitions/march-machine-learning-mania-2016,27th
/prashantmudgal,Help in installing and using Xgboost on ipython notebook,I am trying to use Xgboost but facing problems in installation. i am using mac and I use python notebook jupyter for the same. I opened the command line and used pip install xgboost and it got installed successfully but when I try to use it in my code by writing import xgboost as xg then I get ImportError: No module named xgboost error. Can anyone help me? I am using python 2.7,1,None,2,Wed Mar 16 2016 20:55:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19566,/competitions/santander-customer-satisfaction,1836th
/alexandrudaia,Help  with my first script :D,"I have thinked at some feature engineering , hoewer I am to lazy to see if different models do well on it , so I am thinking maybe some random competitiors will be interested to try optimize some models on it. The issue is I am also to ,,lazy'' to see how public scipt is created, so if I paste my paste my code could somewone help me puting it in public script?",1,None,8,Wed Mar 16 2016 20:58:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19567,/competitions/bnp-paribas-cardif-claims-management,195th
/longt123,Some ideas on how the feature extraction is done ,"I see that for this challenge, the data are photos, not plain text. So how is the feature extraction done? How many features are we expected to get from the photos? I am not asking for exact solutions, I am new to the field, so I am confused. Can someone give me a hint? Any techniques, tools or documentation I can browse? Thank you.",0,None,1,Wed Mar 16 2016 21:04:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19568,/competitions/yelp-restaurant-photo-classification,None
/domcastro,Who is going to win? I have ..,North Carolina,1,bronze,30,Wed Mar 16 2016 21:25:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19569,/competitions/march-machine-learning-mania-2016,126th
/alexlzzz,Ground truth segmentation,"I guess to perform the ""ground truth"" calculations images were manually segmented [by experts]. I wonder, if you are going to release these contours, similarly to Sunnybrook data?",6,bronze,3,Wed Mar 16 2016 21:59:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19570,/competitions/second-annual-data-science-bowl,48th
/carloshuertas,Public/Private LB Shake,"Hi! This is my first madness competition, so I have a doubt about how this competition works Why in the world did the LB shake? I moved up 8 positions and I was expecting to: A) The private LB to remain identical to the public (at least by now) or… B) If there is already some matches completed, to be ranked according to some score? (we are all at 0.0)",0,None,2,Thu Mar 17 2016 01:40:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19572,/competitions/march-machine-learning-mania-2016,205th
/charlesroberson,Help please: I need the 2 brackets for my 2 submissions,"I don't know why Jason's R code isn't working correctly for me. I've been trying things for hours on 2 different computers with 2 different versions of R. It gives the wrong probabilities for the match ups. I even tried netProphet's submission and it did the same thing after I fixed the ID,PRED in the submission to Id,Pred. I manually looked at my submissions and they don't match the bracket generated by Jason's code. I have attached the 2 submissions. The first is my work and the second is a 50/50 merge with netProphet's steal his submission. Also, I attached what the bracket it produced for netProphet's steal submission and it looks wrong. I don't believe this goes against any rules given that all of our submissions are going public before the tournament is over via the kaggle data sets. Charles [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111872/3931/submission2016001.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111872/3932/submission2016002.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111872/3933/sub1.pdf",1,bronze,4,Thu Mar 17 2016 02:57:12 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19575,/competitions/march-machine-learning-mania-2016,171st
/wcukierski,Official First Round Predictions,"These are the prediction histograms from all Kaggle participants for the first round, showing the predicted probabilities for each of the 32 games on the first two days of the tournament. See anything wrong? Let me know in the comments.",2,bronze,3,Thu Mar 17 2016 04:30:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19576,None,None
/wcukierski,Prediction Files Available,"This year we're excited to release all selected submission files as a release on our new [Link]:https://www.kaggle.com/datasets section of the site: [Link]:https://www.kaggle.com/wcukierski/2016-march-ml-mania On this page you can download a zip file (for boring old use offline) or, more interestingly, do your analysis right on the site in Scripts: [Link]:https://www.kaggle.com/wcukierski/2016-march-ml-mania/scripts Collaborate, share code, fork, find out who really stole Net Prophet's submission, ruminate on who has the worst bracket of them all. Pulling these files is a delicate act of SQL surgery, so PM me if you think there are errors. Have fun and thanks for contributing your two files to dataset history!",4,bronze,1,Thu Mar 17 2016 04:56:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19577,/competitions/march-machine-learning-mania-2016,None
/arpangupta87,Any past problems on Kaggle,"Hi All, Is there any past kaggle competition based on AUC and highly imbalanced data sets…..if anyone knows about any script for such competitions ,pls let me know…",0,None,3,Thu Mar 17 2016 07:34:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19578,/competitions/santander-customer-satisfaction,2409th
/arpangupta87,past kaggle competition based on AUC ,"Hi All, Is there any past kaggle competition based on AUC and highly imbalanced data sets…..if anyone knows about any script for such competitions ,pls let me know…",0,None,2,Thu Mar 17 2016 07:36:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19579,/competitions/santander-customer-satisfaction,2409th
/insaff,Random Forest,"Thank you for the code. Is that parameter class_weight='balanced' important, because I could run the code only without it? Why this number 1301, why not 1 as usual people use here? ( random_state=1301 ) And why dont your model overfit, because if use the whole training set, I will be overfitted: clf = RandomForestClassifier(n_estimators=600, max_depth=12) scores = cross_validation.cross_val_score(clf, x_train, y_train, cv=3, scoring = 'f1') print(""Accuracy f1 (random forest): "", scores, scores.std()) clf.fit(x_train, y_train) copy",0,None,6,Thu Mar 17 2016 09:44:48 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19580,None,None
/scirpus,Nineteen Features,LB ~ 0.832258 with nineteen features,0,None,3,Thu Mar 17 2016 09:52:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19581,None,None
/stephanketterer,how to learn to dealand slice data ( SVHN),"Hello, i am beginner and learned quite a bit about ML and NN. Now i wanted to work on the SVHN dataset. I got a simple tensorflow NN going with the MNIST dataset, but now i am stuck. How can i read in the SVHN data correctly and split it up ( since most images contain more than one digit) I have been looking all day and cannot find anything. Would really appreciate any tip or help.",0,None,1,Thu Mar 17 2016 10:38:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19583,None,None
/olegpolivin,Creating new features,"Hi everyone! I am new to kaggle, and hence I have the following basic question: Are we allowed to create new features, based on those in the training/test datasets? I have looked through the forums, but couldn't find the answer. Thank you and good luck!",0,None,2,Thu Mar 17 2016 10:51:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19584,/competitions/santander-customer-satisfaction,548th
/pakoun,Confused with scores,"Hi all, as totally newbie in the machine learning magic world I do have a comprehension question. I started with a random forest in R. I sub-sampled the train data set to use the first part (75%) to train the model and the second (25%) for cross validation. I calculate the ROC curve and score and it is about 0.78. You can reproduce this from the code I have attached. The problem is when I predict the values for the test data and submit to the site I get always a scor of 0.5. Any idea what could be wrong? Am I doing something totally stupid in the code? Thank you for any help [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111925/3938/rf_santander.r [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/111925/3939/roccurve",1,None,2,Thu Mar 17 2016 11:50:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19585,/competitions/santander-customer-satisfaction,3100th
/alexandrearaujo,Process of doing feature engineering,"Hi everyone, I am pretty new to Kaggle, This is my first serious competition! After reading a bunch of articles I came to understand that feature engineering is a crucial part. I lack experience to do it properly I believe. Because the dataset is completely anonymized I am using some kind of brute force search for finding features transformation, features interaction which can improve the precision. First, I record a threshold score without any feature engineering / feature transformation. After choosing a transformation or an interaction, I loop over every column, I transform ONE column, making a model, checking the score, and loop. And the end of this quite long loop, I have a list of all feature transformation which improves the score: Transforming feature X get me a score lower than my threshold Transforming feature Y get me a score also lower than my threshold Now, I trying to combine those transformations, but when I train a model with feature X transformed AND feature Y transformed the score is actually getting worst … I am obviously doing something wrong here, my process must be bad. Does someone could explain the process of doing feature engineering? I am keen to any insight, Thank you",0,None,1,Thu Mar 17 2016 12:24:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19586,/competitions/bnp-paribas-cardif-claims-management,73rd
/jeffsonas,Summarize Your Model?,"What approach did you take this year? Which stats did you use? Massey Ordinals? Geographical? The detailed ""team box score"" stats? Like usual, I didn't have as much time as I would have liked to spend on the predicting side. I'm sure we all feel that way! I got pretty far on a simplified possession-based model using some of the team box score stats, but it wasn't helping the predictions so I abandoned it. I focused mostly on using the Massey Ordinals in an ensemble. I looked at which systems were available for the past nine years, and which of those had done best in late regular season games (daynum=100 or later) including top-80 teams, plus tourney games. As others have also mentioned, there isn't enough tourney evidence so I really think you need your training data to include regular season games. Because the relationships between team strength and ordinal rank are not linear, and the relationships between team strength and expected winning percentage are not linear, I don't think it makes sense to just average your game predictions, or your Massey ordinals, in order to produce an ensemble prediction. So instead I converted from Massey Ordinals to power ratings (using the formula described [Link]:https://www.kaggle.com/c/march-machine-learning-mania/forums/t/6767/extra-data-sagarin-predictive-ratings), averaged those together, and then converted the rating difference back to an expected winning percentage in order to make predictions. I would expect that when you average together a bunch of things like this, it is going to drive your predictions a bit closer to 50% than you would like, so I made sure to optimize the ""Denominator"" against the log-loss scoring function in the formula: WinPct = 1.0 / (1.0 + POWER(10.00, -RatingDiff/Denominator)) and generally found that the optimal Denominator indeed got a bit lower as you had more systems in your ensemble. I also found that for the best-established systems (those that were present for at least nine years back) an ensemble of nine systems worked best, so I used that. You would expect that generally it helps to add in a few different models, but at some point it starts to dilute the effectiveness of the best ones to keep adding in more, and I found that 8-11 was about the right number. Then in the last 24 hours before the deadline, I realized I should double-check my LN-based relationship between Massey Ordinal and power rating, since it was a couple of years old and had originally just been based on the Sagarin power ratings. I hit on the idea of looking at all Massey Ordinal predictions (who cares whether they were optimal systems or not) for all seasons and all late-season games, daynum=100 or later, and seeing if you could determine relative power ratings just from the won-loss percentages from each pairwise combination of ordinal ranks playing each other. And I found that my two-year old formula for converting from Massey Ordinal to power rating was way, way, off target, so I worked out a better relationship: Power Rating = 100 - 2.32*LN(rank+1) - rank/25.3 - (rank/205)^2 …and used that to re-do my nine-system ensemble, although I didn't have time to determine the optimal Denominator and so I just used 14. I did have time to decide that the Massey system WIL wasn't as good as I thought, so I finally settled on an eight-system ensemble of (DOK + SAG + WLK + RTH + POM + BOB + MOR + PIG), with all eight systems equally weighted. I had included systems into the ensemble by seeing which ones performed best individually, and then adding those into the collection one-by-one in order of individual performance, until this stopped helping. Per this approach, the best five teams were: #1 Kansas (98.1) #2 Michigan St (96.9) #3 North Carolina (96.6) #4 Virginia (96.0) #5 Villanova (95.8) Then I realized I had some code handy for calculating Chessmetrics ratings, as part of setting up for a writeup I never got around to doing, and I would be kicking myself if it turned out to do well this year and I hadn't used my own invented system, so I [Link]:https://www.kaggle.com/c/march-machine-learning-mania/forums/t/6777/about-the-chessmetrics-benchmark and used those for my second submission. I am viewing this as my conservative approach, where it is not predicting very confident outcomes, and so it will likely get buried in the barrage of hundreds of other people also making reasonable predictions, but maybe lots of people got too excited about gambling in the large pool this year and lots of upsets will shred everyone's aggressive brackets and leave only my system standing. Yeah right… But the approach of calculating a power rating yourself, rather than just relying on Massey Ordinals, does reveal the main drawback of Massey Ordinals, which is that they can't identify how large a gap in strength there is between a team ranked M and another team ranked N; it assumes a standard gap size. You can account for this to a certain extent by doing an ensemble of several methods, but it still doesn't help to distinguish the 2016 situation (where Kansas is #1 in many systems but is not way better than the next team) versus the 2015 situation (where Kentucky was consensus #1 and was way better than #2). Per my Chessmetrics power ratings, the top five in strength should be: #1 Kansas (88.5) #2 North Carolina (88.2) #3 Villanova (88.0) #4 Virgina (87.7) #5 Michigan St (87.7) …which is an incredibly close clumping at the top. So I think this means we may well see a lot of upsets in the late regional rounds, in which case this perhaps isn't the best year for lots of gambling or lots of confident predictions. But who knows, with a field of more than 600 teams! Probably a few people will manage to survive intact even in a tournament with lots of upsets. I wanted to play with the geographical data, and I expect there is a real effect there, but I never even got started on that. Same with coaches. I doubt there is much in the conference data that is useful, so I didn't even consider trying that. So… enough about me. What did you try??",4,bronze,24,Thu Mar 17 2016 12:43:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19587,/competitions/march-machine-learning-mania-2016,86th
/jasonsumpter,The Ball is (Almost) Tipped,"For those of you that are new to college basketball, this video sums up everything you need to know about the Tournament. [Link]:https://www.youtube.com/watch?v=kOu6bCDiZm4",3,bronze,1,Thu Mar 17 2016 13:32:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19588,/competitions/march-machine-learning-mania-2016,163rd
/andreasjohnsson,Stuck in the 70s,"Hi, I'm new to Kaggle and I'm trying the Santander challenge out. I'm stuck in the score of about 70 so I assume that I'm missing something of importance here. I have tried the following SVM Random Forest Logistic regression I'm weighting my samples according to the imbalance in the dataset in the attempts, using the weights option in MATLAB (I know, most of you use R/Python, but I'm not there yet). My next steps would be to Use PCA to find features of importance (maybe the high-variance features should be considered noise, features related to saldo may have high variance but low impact on satisfaction) Feature selection using forward stepwise… Any other suggestions? Best regards, Andreas",0,None,15,Thu Mar 17 2016 15:02:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19589,/competitions/santander-customer-satisfaction,595th
/prashantmudgal,Looking for teammates,Hi! I am looking for a teammate. Reply if you want to join in.,0,None,6,Thu Mar 17 2016 15:54:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19590,/competitions/santander-customer-satisfaction,1836th
/nishkgp,Who really stole Net Prophet's Entry?,"I think you might be filtering on a wrong metric, people might have changed only some of the probable 63 matches, maybe with a large probability value and might have kept other non-likely matchups same. I think mae will not account for that in the end, even if they would have entirely different scores, because of the selected probable 63 matchups, just because non-likely matchups have same probabilities. I think a better way to do this would be getting the deviation from the most likely matchups.",0,None,3,Thu Mar 17 2016 16:43:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19591,None,None
/whamfish,Your Predictions vs the Field,This script uses Williams code but it puts the vertical line on your prediction so that you can see where you stand against the field.,1,bronze,7,Thu Mar 17 2016 17:54:57 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19593,None,None
/sujiths52,Running out of memory when I train the dataset. ,"I tried training the dataset on my laptop, I get warnings on R saying that it reached the maximum heap size. I ran it on Kaggle the csv file is too large to save. I think I m doing a mistake , any suggestions ?",0,None,1,Thu Mar 17 2016 17:58:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19594,/competitions/sf-crime,1229th
/whamfish,Your predictions vs the field,"FYI i edited William's script so that you can see how your own script compares to the field that way you know exactly who your pulling for this evening. It is in the ""Dataset"" section of this site so it doesnt appear in this section. Link is below. I'll try to update for future rounds. [Link]:https://www.kaggle.com/whamfish/d/wcukierski/2016-march-ml-mania/your-predictions-vs-the-field",5,silver,5,Thu Mar 17 2016 18:07:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19595,/competitions/march-machine-learning-mania-2016,59th
/sunsoutfunsout,Live Predictions,"Fivethirtyeight has a cool feature that shows live game probabilities. Not sure how their models compete to some of yours, but it is a cool tool for some people that love the numbers even more than the sport [Link]:http://projects.fivethirtyeight.com/2016-march-madness-predictions/",9,silver,7,Thu Mar 17 2016 19:04:03 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19597,/competitions/march-machine-learning-mania-2016,236th
/alexandrudaia,Why are  my scripts  not  posted?,I created 2 scripts with 2 of my feature eng methods. I am currious why they are not accepted ?,0,None,11,Thu Mar 17 2016 19:27:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19600,/competitions/bnp-paribas-cardif-claims-management,195th
/alexandrudaia,Please share,"Hi guys , it seems kaggle is doing hard cenzoring. I decided to release to if my feature engineering methods( one of them that is brining an xgboost with 0.454) to see if other competitors could do wll cause my hardware if kind of depreciated on that data set .Please see here : [Link]:https://www.kaggle.com/…/19600/why-are-my-scripts-not-posted and here : [Link]:https://www.kaggle.com/c/bnp-paribas-cardif-claims-m…/forums It is also obvious Kaggle is not encouraging other competitors to make free opinion exchange by introducing downvoting. For example some competitors are posting some neural nets that really do bad , if some tells them that a logistic regression is doing better , they just start downvoting , this is because lot of people was used to hear fancy words and they do not accept other opinions . Kaggle and a bunch of spoiled kids are manipulating a lot of things. Besides there could be high evidence the competitions are arranged .Have you ever asked why final distribution of predictions is not released ( they realease only the results)? I personally know to competition where cheating was something normal , kaggle AXXA and kaggle TFI , not only that usual people was cheating , the bad part is that they cheated top scores",-9,None,2,Thu Mar 17 2016 19:43:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19601,None,None
/skyjiao,Question for organizer (again),"Dear Admin, I'm sorry to bother you again because I'm not quite familar with the exact rules of Kaggle competitions. Could you please respond to a few posts listed as below: [Link]:https://www.kaggle.com/c/home-depot-product-search-relevance/forums/t/19433/question-for-organizer [Link]:https://www.kaggle.com/steubk/home-depot-product-search-relevance/fixing-typos/discussion If those questions are too ambiguous, I could provide further clarifications if you want. Thx a lot",1,bronze,5,Thu Mar 17 2016 19:49:11 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19602,/competitions/home-depot-product-search-relevance,None
/luckyguesser,Leaderboard Update Rate,"How often is the leaderboard updated? Us compulsive types have noticed that two games are completed already, yet there doesn't seem to be any updates yet.",9,silver,3,Thu Mar 17 2016 20:05:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19603,/competitions/march-machine-learning-mania-2016,7th
/domcastro,Can't see submissions - not sure which one is doing best,Last year (I think) I could see what submission was doing the best - I can't see this year. Can I extract this from Scripts? Do the file numbering coincide with submission entry?,5,bronze,2,Thu Mar 17 2016 21:22:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19605,/competitions/march-machine-learning-mania-2016,126th
/sabine,how to submit?,"Hello all, I am trying to submit our project but I don't know how. We did our project in rapidminer and our file is .csv. I get this error that things are not suspected. I was trying to submit the .csv file with only the used data in it. Can somebody help me?",0,None,2,Thu Mar 17 2016 21:56:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19606,/competitions/sf-crime,None
/woshialex,"yale won, I bet average LB score will drop a lot",:D,0,None,12,Thu Mar 17 2016 22:34:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19607,/competitions/march-machine-learning-mania-2016,549th
/ydnayabe,Meaning of the 50/50 benchmark,"Hi, I'm new to Kaggle and this is my first 'competiton'. Lots of fun so far. What does the benchmark with each game rated with a 0.50 probability 'mean'? How is a submission evaluated? Thanks.",0,None,2,Thu Mar 17 2016 22:38:19 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19608,/competitions/march-machine-learning-mania-2016,397th
/dshurick,Leaderboard Scores,"Someone please tell me I'm doing something wrong… I've been trying to calculate the scores for everyone's submissions and I get the same score for the person in first place but it deviates after that. The scores I calculate for our team's (Oklahoma Selection Committee) 2 entries through the first 8 games (AR-Little Rock) are 0.7056 and 0.5490, so our score should reflect 0.5490 but it says 0.506341 Anyone else trying to validate their submission's scores? If I had to choose between me and Kaggle, I'd assume the error was mine. Someone please tell me that they've validated their leaderboard score so I can continue scratching my head.",4,bronze,23,Fri Mar 18 2016 01:39:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19611,/competitions/march-machine-learning-mania-2016,150th
/drewdez,Metaprediction,"In case anyone is interested in predicted results of the Kaggle competition, I’ve updated the [Link]:http://march-madness-metaprediction.drewdez.com I created last year. To make the predictions, I simulate the tournament 10,000 times at each completed round, using the median probability across all Kaggle entries as the true probability for each potential matchup. I also show the corresponding predicted results of the tournament itself. The predictions aren't very meaningful at the beginning of the tournament, but once we get a bit further along, I’d be curious to compare with anyone else who is predicting results of the Kaggle competition. A couple of notes: I stupidly missed the submission deadline yesterday (I thought it was midnight EDT, not UCT), but I’ve included my two entries in the simulation, so there are 1,072 total entries. In the very unlikely scenario that one of my entries shows up in the top five, you’ll have to mentally shift everyone below me up a slot. I also don’t account for entrants who are ineligible for prizes because no legal name was submitted.",6,silver,14,Fri Mar 18 2016 01:57:47 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19612,/competitions/march-machine-learning-mania-2016,None
/antgoldbloom,California Temperature,Is this a work in progress? Or is there an error? (The charts are showing up blank for me.),0,None,2,Fri Mar 18 2016 02:16:37 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19613,None,None
/antgoldbloom,Oscilations,"Juanchaco, this is neat but it'd be easier to follow if you added a description between charts. At the moment, I'm scanning the code/comments to try and figure what each chart is showing.",0,None,1,Fri Mar 18 2016 02:19:07 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19614,None,None
/antgoldbloom,[Deleted Kernel],Ha. I'd not known about this. For others: [Link]:https://en.wikipedia.org/wiki/Year_Without_a_Summer,2,bronze,1,Fri Mar 18 2016 02:21:33 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19615,None,None
/omegapink,Times top 100 Colleges [ country wise ],"Thanks for sharing, looks good! It would be interesting to set those numbers in relation to some other metric of the countries like total population, student population or total number of universities.",2,bronze,1,Fri Mar 18 2016 11:50:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19630,None,None
/mightybird,Reproducability etc.,"Hi, since completely surprisingly I landed in the top section of the leaderboard I start worrying about reproducability and documentation. Although I know there is plenty of time still for others to come up with good solutions. Or even teams. I don't see team in the top yet. Is there any article/forum post about that? Aside from Kaggle's official article. What commands depend on randomized numbers - to be supplied with a seed? Commands for Linux, Python and R to get the configuration as demanded? Installed libraries and version numbers. Any help appreciated! Cheers Gerhard",0,None,2,Sat Mar 19 2016 08:07:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19646,/competitions/santander-customer-satisfaction,942nd
/narsil,How to do cross-validation,"Sharing a couple of lessons learned on cross-validation in this competition: I started with standard xgb.cv function to perform cross-validation for me, and the results were not so good. While this is typically a good starting point, the standard procedure does not take into account the specifity of the data set. The RMSE on my local 5-fold CV was lower vs. the public LB by ~0.01. What was much worse, changes in my local CV score did not correlate so much with changes in the public LB, so basically I was walking in the fog. For example, I couldn't do model parameter tuning, because optimal model according to my CV results was not optimal in the public LB, and so on. Then I changed my approach. I followed the logic, that the split of data in the CV should mimic the split between train and test data. In this competition, there is roughy 1/3 data in the train set, and 2/3 data in the test set. So, when doing a 3-fold cross validation, only one fold should be used to train the model, and remaining two folds should be used to test the model. I follow such 3-fold CV procedure 5 times, and average the results. When splitting data into folds, I use caret package, and I use stratified sampling on search term relevance. With this approach, everything changed. Now, the local CV score is very close to public LB score. What is much more important, changes in the local CV are indeed correlated with the changes in public LB. This enables everything: feature selection, model tuning, ensembling. I once read somewhere in that good validation architecture is much more important than good model, and I fully support it. Here is a good read I found on the web on the cross validation (chapter 7 is devoted to strengths and pitfalls of cross validation): [Link]:http://statweb.stanford.edu/~tibs/ElemStatLearn/ What are your methods of performing CV in general and in particular for this competition? What works / does not work?",8,silver,1,Sat Mar 19 2016 12:56:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19648,/competitions/home-depot-product-search-relevance,12th
/nicholascanova,How to see which model has which score,"Hi, New to Kaggle, so sorry in advance if this is an obvious question. I made two submissions to the competition, and want to see what the scores are for each model, is this possible? I can only see the separate scores in my recent activity feed, but not which score corresponds with which model. Best, Nicholas",1,bronze,7,Sat Mar 19 2016 20:40:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19652,/competitions/march-machine-learning-mania-2016,9th
/jeffsonas,Upsets!,"From playing around with SQL queries on the tourney historical data… Last year's tournament had the second-fewest upsets ever during the first week, where 10 weaker seeds won out of the 48 games (in 1991, only 9 weaker seeds won during the first 48 games). Two years ago we had the median number of first-week upsets (13 out of 48). And this year, after the first two days we already have 14 upsets in the Round of 64, which appears to be a record for the Round of 64 (previously it was 13, in 2001). The all-time record for upsets during the first 48 games (i.e. the combined games of Round 1 and 2) looks to be 19/48, during 1999. Not sure how likely that record is to be broken, especially since (due to all the upsets by seeds 11-14) the #4 Kentucky- #5 Indiana game is the only one this weekend where the difference in seeds is 3 or less (previous record: 2 such games, in 2002 and 2006). Anyone who did/does well in our contest for all three years definitely has a quality model! It will be interesting to see who has the best record in the ""meta-competition"" of having the best ""worst finish"" when looking across all three years. I would also like to point out a bit of an inconsistency if we are talking about ""the favorites"" in our contest, such as One Shining MGF, Monte McNair, etc., while at the same time calling it a lottery. Because there are no favorites in a lottery.",3,bronze,10,Sat Mar 19 2016 21:49:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19653,/competitions/march-machine-learning-mania-2016,86th
/wacaxx,Add script votes in Achievements,"Hey, I think it'd be a good idea to have the amount votes all your scripts have gotten as an achievement. [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/112334/3962/Selection_053.png?sv=2012-02-12&se=2016-03-22T23%3A08%3A51Z&sr=b&sp=r&sig=Aqr84gaz3pZNyFUjlKqY%2Baf5JHeZECYVI5KRkDLbZ90%3D [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/112334/3962/Selection_053.png",0,None,1,Sun Mar 20 2016 00:08:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19655,None,None
/poteman,Test Trips Map - individual,where can I get the 99percentile_bw_map_copyright_openstreetmap_contributors.rds?,1,None,1,Sun Mar 20 2016 02:37:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19657,None,None
/poteman,Test Trips Map,thanks very much. But where can I get the 99percentile_bw_map_copyright_openstreetmap_contributors.rds,1,None,1,Sun Mar 20 2016 02:40:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19658,None,None
/poteman,Test set individual trips Map,thank you very much. But where can I get the 99percentile_bw_map_copyright_openstreetmap_contributors.rds?,1,None,1,Sun Mar 20 2016 02:42:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19659,None,None
/awesomekris,No Data in File ,Downloaded the train tar ball twice but its showing no data in it.It was peculiar thought that it's size is showing up as 6.5 gb only . But the folder contains 0 items,0,None,2,Sun Mar 20 2016 02:52:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19660,/competitions/yelp-restaurant-photo-classification,None
/evgenyeltyshev,Thread for MIPT DMIA fellows,Здесь обсуждаем контест\делимся идеями\спрашиваем вопросы,0,None,12,Sun Mar 20 2016 16:53:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19662,/competitions/santander-customer-satisfaction,111th
/anokas,XGBoost giving different results every time despite random_state,"In my python code I split the training set using: x_train, x_valid, y_train, y_valid = train_test_split(x_train,y_train,test_size=0.2, random_state=4242) and then train xgboost with: params = {} params['missing'] = ""np_nan"" # Useless, no missing values params[""max_depth""] = 5 params[""objective""] = ""binary:logistic"" params[""n_estimators""] = 800 #params[""learning_rate""] = 0.01 params[""eta""] = 0.02 params[""subsample""] = 0.9 params[""colsample_bytree""] = 0.85 params[""booster""] = ""gbtree"" params[""seed""] = 1234 params[""verbose""] = 1 # Makes no difference params[""silent""] = 1 params[""print_every_n""] = 10 # Also doesn't work :'( params[""eval_metric""] = ""auc"" watchlist = [(d_train,'train'), (d_valid,'eval')] bst = xgb.train(params, d_train, 50000, watchlist, early_stopping_rounds=50, verbose_eval=20) copy At the beginning of my code I set random.seed(4242) np.random.seed(4242) copy However, every time I run the code I get different values, for both train-auc and eval-auc. Where am I screwing up? I'm running other python instances in the background, do they use a shared seed?",1,None,3,Sun Mar 20 2016 16:57:01 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19663,/competitions/santander-customer-satisfaction,2071st
/eunheeko,Randomizing data,"Hello, I saw that there are several posts where people discussed about position bias and randomization of the data, but still not quite sure if the data can be assumed if it is randomized. In the data introduction page, Expedia specified, ""the data contain impressions where the hotels were randomly sorted, to avoid the position bias of the existing algorithm"" and I also saw the post in this forum that you included randomly sorted hotels to make less biased data. Based on the discussion, I understand that Expedia puts an effort to make the data randomized. Does I understand correctly? If that is the case, do you think that I can assume that the data was randomly drawn from the population? That is, can I assume that there is no systematic bias in the data? Thanks you so much for your attention to this post and hope to hear from you. Thanks!",0,None,2,Sun Mar 20 2016 17:17:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19664,/competitions/expedia-personalized-sort,None
/sirorezka,Debugging var3 -999999,"Hi, actually I didn't understand your motivation of replacing -99999 with the value 2. Does it somehow improves model?",5,bronze,6,Sun Mar 20 2016 18:47:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19665,None,None
/inversion,How To Become A Machine Learning Expert In One Simple Step,tl;dr - Participate in Kaggle competitions. [Link]:http://swanintelligence.com/how-to-become-a-machine-learning-expert-in-one-simple-step.html,1,bronze,1,Sun Mar 20 2016 19:47:58 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19666,None,None
/aminos21,IS it a good datasets? ,"Hey guys, Sorry, if my topic looks stupide for some of you; but let first ask some questions which lead us to a good model; 1) does any body understand this datasets? me no! what is v3,v4,v5,….v131? mainly the factoriel variables no explanation about them! 2) does any body ( agree with me) wonder about the percentage of missing values (NA)? For exemple, in R code, you see with the function summary(train) the number of NA in each colon. So for V1 there are 49832 NA are missed by dividing this number over the totale number of value 49832/114321, we have about 43% are missed!! for the rest of v2,v3,…v131 almost less or more the same percentage Then, the question, still able to predict a model with such percentage of missing values? So there are two way: *) omit the missing values and predict the model. However, since the percentage of the missing value is important the model will be less precise. **) replace the missing values by ( means, limits,…) and predict a model. Again, since the percentage of the missing value is important the model will be less precise. In my opinion, it is possible to predict that model based on these missing values and the equation model will be expressed in term of the number of missing values by ID. Any body is agree with that? Please contribute to these ideas! In the next discussion i will give the model :)",0,None,5,Sun Mar 20 2016 22:11:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19667,/competitions/bnp-paribas-cardif-claims-management,None
/otghurka,What am I not doing? (Long Post),"Hi, I am documenting my thinking, analysis of data and process of modelling. I am unable to make any major improvements in my models. Can the experts pls suggest steps where I am wrong, or what I am missing/not doing? My Analysis and Modeling Steps – 1 - Read Data, Combine Test and Train 2 - Handle missing values, Create Missing Flags for all Variables • Missing Numbers - Try Imputing with Median • Missing Numbers - Try Imputing with Mean • Missing Numbers - Try Imputing with (Min Value - 1StdDev) • Missing Factors - Try Imputing with Most Frequent Value • Missing Factors - Try Imputing with Value MISSING (NA Flag Does this automatically Anyway) • See if any numbers are less than 100 distinct values and all integers – convert them to factors • Try scaling for all the numbers – R – scale( X , center = t, scale = t) • Next Try combinations of above. Different Numbers Imputing, Different Factor Imputing • Finally create summary count of Flags per row – for factors, for numbers 3 – Next Use Cor to remove duplicate number variables – Remove the 2nd number variable that have more than 0.95 cor with the first one. 4 – Use Wilcox Test to do the same for factor variables using Chi.Square/df ratios. Also remove full duplicates using simple mosaicplots. 5 – Try combination of the above too. Keep all variables, remove correlated numbers, remove correlated factors, remove both.. 6 – Models – Currently using xgb, h2o gbm, h2o randomforest, and glmnet. (No NN. I don’t understand them to be frank. Seems to be just trial and error of hidden layers). 6.1 – Modeling using model matrix – does 1 hot encoding of all factos 6.2 – modeling using simple as.integer for all factors 7 –Model tuning – Using below params – I tune all vars other than eta. Post getting the best logloss, I set the eta to 0.005 or 0.001 for ( peta in c(0.01) ) { for ( pcolsample_bytree in seq(0.5, 1, 0.1) ) { for ( psubsample in seq(0.5, 0.9, 0.1) ) { for ( pmin_child_weight in c(1,5,10) ) { for ( pmax_depth in c(8,10,15) ) { <Tune My Model Here> }}}}} copy 8 - Feature Engineering Do the below 10 times Relying on xgb.importance, I get the top 10 variables. For the number variables in the top 10 a. Create squares, logs, square roots of these 10 variable b. Create combinations of each of the 10 variables – simple addition and multiplications For factors – do nothing Model again and repeat the above steps 9 – Model Bagging From the best model – I using random seeds create 10-20 models with same parameters. Predict and then average out the predictions. Any suggestions to improve the above modeling process are much appreciated. Thanks, OOTG",-1,None,2,Mon Mar 21 2016 05:08:13 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19669,/competitions/bnp-paribas-cardif-claims-management,None
/teammath307,Where to include our team members' name ?,"Hi, I am wondering where should we put down our name and student number when we submit?",0,None,1,Mon Mar 21 2016 05:42:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19670,/competitions/matrix-completion,14th
/bdilday,sweet 16 probabilities with d3.js,"I've made an interactive interface to the sweet 16 probabilities, if anyone's interested in taking a look, [Link]:http://bdilday.github.io/march_madness_explorer/probs_sweet_sixteen_2016/ mouseover a point to highlight a user, or search in the Users text box. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/112421/3966/probs_rd3_01.png",5,silver,6,Mon Mar 21 2016 05:53:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19671,/competitions/march-machine-learning-mania-2016,44th
/stephanketterer,Reshaping an ndarray for Support Vector Machines,"I wanted to use SVHN data and try SVM on it. testdata['X'] <type 'numpy.ndarray'> (testdata['X']).shape is (32, 32, 3, 26032) copy the problem is that SVM needs a 2d array and mine is 4. That means i need to reshape it i think. I tried : (testdata['X']).reshape(2) copy gives me : ValueError: total size of new array must be unchanged copy Anyone has a tip for me ?",0,None,1,Mon Mar 21 2016 09:10:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19675,None,None
/enriquesantos,Max AUC with XGBoost?,"Hi, I've been trying quite a lot of different parameters with XGBoost (as it performs better than GradBoost or AdaBoost) and different train/test splits to boot, but I've not been able to get over 0.839836. In the different eval sets I can get up to 0.8542, but I cannot seem to break 0.84 in the test set just with XGBoost. Has anyone been able to break 0.84 with no feature engineering? Maybe I've hit a plateau and I should start working on feature engineering or ensembling…",4,bronze,24,Mon Mar 21 2016 10:11:52 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19676,/competitions/santander-customer-satisfaction,2627th
/thodime,Not able to Upload Solution,"Hi Team, I entered Competition from day one, today i tried to update my latest submission file, i observed submission is disabled, please help he how to upload my latest assignment.",-1,None,1,Mon Mar 21 2016 10:17:43 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19677,/competitions/march-machine-learning-mania-2016,501st
/del=716c21e0823ac2ba,XGBOOST CV - NROUNDS,Hello everybody I'm doing a 10 x xgboost CV with randomly selection of parameters. In the end I select the model with minimum logloss and take the nrounds where the logloss reached the minimum value. Question: As I split my train dataset into 10 pieces for CV should I increase the number of nrounds when training the model with the whole dataset?,0,None,6,Mon Mar 21 2016 10:52:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19678,/competitions/santander-customer-satisfaction,673rd
/jamesdlawrence,0.840565,"There seem to be about fifty people with this score, but not signified with a script. Has a model or script been released somewhere other than on Kaggle? I'd like to ensemble with it if it's available.",4,bronze,11,Mon Mar 21 2016 11:08:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19679,/competitions/santander-customer-satisfaction,1641st
/dmenin,three_level_classification_architecture,"Hey Sandro, thanks for sharing this script, I'm learning a lot from it. Quick questions, why do you stack the p_valid and p_test objects into XV and XT if you split them back to the original format in the ""EN_optA"" and ""predict_proba"" functions? My guess is that you need the XV object on that shape to pass it to the fit function on CalibratedClassifierCV, which brings me to my second question: As I understand you have a list (p_valid) with 6 elements (one element for each model). Each element has 400 rows (the observations you are predicting) and for each row, you have each classes' probabilities (So you end up with six 400 X 12 matrices) the XV object stacks these predictions so that its first row has the probabilities of each one of the 12 classes for ecah one of the 6 models…thats why it has 72 columns (400 X 72) and that's the object you use to fit on CalibratedClassifierCV (as opposed to the ""unpivoted"" object inside the enA.fit(XV, y_valid) function) so my question is, what's the logic behind using the probability of each one of the 12 classes (on 6 models - so 72 class probabilities) to predict the outcome? thanks",0,None,11,Mon Mar 21 2016 13:37:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19680,None,None
/spraveengupta,Looking for a teammate or mentor,"I am a core aspirant to do predictive models and passionate to learn new things. I am looking for a teammate so that we can learn from each other. My Profile I have taken ""Intro to Machine Learning"" course by Sebastian in Udacity and ""Machine Learning"" by Andrew NG in Coursera. I use python to predict the models. I am well versed with SAS JMP - Data visualization software. I am aware of the popular M/L techniques to be deployed for prediction. I have done 'Titanic - problem' of kaggle and built couple of other prediction models. Here is the link to my linkedin profile [Link]:https://www.linkedin.com/in/praveenguptas",0,None,1,Mon Mar 21 2016 14:30:38 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19681,/competitions/santander-customer-satisfaction,7th
/inspector,Another Question on Overfitting and CV,I am still getting a very large (~0.02 -0.03) differential between local rmse and leaderboard. I was just doing a naive 70/30 train and test split at first and then tried to get closer to the real training and test set split in regards to product_uid - whereby I would flip to 30/70 train and test and allocate unique product_uid (those in either train or test but not shared) based on the rates seen in the true training and test files. BUT the differential got worse. I started wondering if there was another issue besides how I was splitting by local CV. I am basically only using count features along with similarity measures (between search term and title and description) and only including an SVD reduction for actually word vectors - in hopes of reducing overfittting. I am pooling the full train and test sets to learn vocabulary for TFIDF and learning word and document vectors. This doesnt seem like it should be an issue though since everything is unsupervised. Anyone having the same large differentials and found any clues to address?,0,None,3,Mon Mar 21 2016 15:01:44 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19683,/competitions/home-depot-product-search-relevance,425th
/wcukierski,Sweet Sixteen,"Thanks for doing this! I'm going to fork and rename the plot (1) so that it's under the ""Official"" title series (just for external clarity) and (2) because we're not allowed to use NCAA trademarked terms ( [Link]:http://www.ncaa.org/championships/marketing/ncaa-trademarks)",0,None,4,Mon Mar 21 2016 15:35:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19684,None,None
/muhammadalishahzad,Can i Get ranked if I make submission for a closed competition?,I was wondering if I could make submission and get ranked for closed competition?,0,None,1,Mon Mar 21 2016 17:19:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19685,None,None
/remap1,"""Norvig"" Spelling Corrector","With the published spelling dictionary, I might as well tell people how I did correct for spelling. It's basically the very short code here: [Link]:http://norvig.com/spell-correct.html It's from Peter Norvig (Google) and explains how you can build a spelling corrector that does not depend on outside external data. You feed it the data that you have (product descs, title, attributes?), which has to have been cleaned up to some extent (numbers, comma's, dashes, etc). Then it works through a set of probabilities that the work on its own is correct vs. the probability a typo was made. It works most of the time, but usually does not work for words shorter than 5 characters. For example, in my set, it did not fix ""mowe"" to ""mower"", even though that definitely appeared some times. The page explains the full details of how it works.",11,silver,6,Mon Mar 21 2016 17:53:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19686,/competitions/home-depot-product-search-relevance,11th
/rushter,ET with inverse feature scaling (0.4534),Score: 0.45344. Can be improved by tuning ExtraTreesClassifier.,1,bronze,32,Mon Mar 21 2016 23:10:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19688,None,None
/bakiev,Submission,How can we submit and check the result if we don't have submission button ?,0,None,1,Tue Mar 22 2016 01:20:39 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19689,/competitions/march-machine-learning-mania-2016,377th
/mylesoneill,Mean Digits,This is bold,0,None,6,Tue Mar 22 2016 01:45:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19691,None,None
/myloginid,Santander - Starter - parameter tune,"Wow.. Great Script.. Thanks for sharing it.. Shows that simple scripts still work great without to many feature engineering, combinations of features, scaling, ensembling etc etc..",0,None,2,Tue Mar 22 2016 04:58:59 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19695,None,None
/jturkewitz,Deciding Which Competitions to try,"How do you all decide which competitions to try? I don't have the time / experience to actively compete in more than a couple of competitions at a time, I am just wondering how people decide which competitions to enter?",1,bronze,1,Tue Mar 22 2016 06:49:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19698,None,None
/jturkewitz,Leaderboard Split,"What is the lb split between public / private lb? What about between train and test? Also, any reason why 50% of test is public here as opposed to the more usual 30%? P.S. I wish Kaggle would provide this information in the competition description so I didn't have to ask it every competition.",0,None,11,Tue Mar 22 2016 07:44:41 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19699,/competitions/santander-customer-satisfaction,122nd
/statchaitya,The correct Feature Selection Method,"Hey folks, I had a doubt on how I shall proceed with feature selection of around 100 features which I've created from the original ones. I am very confused about how I should efficiently test each and every one of them in my model and select only those features which are important. I am using xgboost. Can I get some pointers on how do the masters proceed with selection of features after they have engineered a few? Please note that I work on a very poor hardware. 4 gigs 64 bit win 8.1. Thanks, Chaitanya.",0,None,2,Tue Mar 22 2016 10:46:36 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19703,/competitions/bnp-paribas-cardif-claims-management,224th
/luckyguesser,Brackets list for teams that submitted legal name,"Is there an (easy) way to get the list of submissions that submitted their legal name? On the leader board they are marked with a ‡ , but the download file for that page does not include this information. Also, it only has the team name in nice human form and not the form of the submission names. I'd like to get a list and use it with [Link]:https://www.kaggle.com/Andrew Desautels [Link]:http://march-madness-metaprediction.drewdez.com/ site to calculate what the percentages are based on submissions that actually have a chance of being paid out.",0,None,2,Tue Mar 22 2016 14:38:27 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19707,/competitions/march-machine-learning-mania-2016,7th
/mlwhiz,What is the proper CV Scheme for Stacking,"Hi All, I am trying to understand stacking while working on this competition. One thing that baffled me about using 2 stage Stacking models is how do you get the Local CV score for your blenders. I already have the stratified K fold mean CV Scores of my level 1 models. How does one get the CV Score of level 2 models. What i tried in here was get some good generalizers as level 1 and then used 5 fold CV scheme on the blend_train dataset which contains the predictions on the train dataset. I was able to get good CV scores when I tuned the blending XGBoost model but it didn’t work too well on the LB. My 2nd stage CV AUC Score was .8452 +- .003 My LB Score was .8360 Is there anything wrong here with my CV scheme? Thanks.",3,bronze,7,Tue Mar 22 2016 15:25:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19708,/competitions/santander-customer-satisfaction,2639th
/bitsofbits,11th Place Quick Summary,"I've been meaning to write up something about my approach, but I haven't been able to find the time, so here's a quick summary. But first: congratulations to the winning teams. Really impressive work! Onward, to my approach: Crop and down sample images to a common resolution and size (84x84). I played around with various complicated cropping strategies, but ended up just using center cropping. Divide the images from each heart into 3 sets; one from the bottom third, one from the middle third and one from the top third of the heart. Train a neural net to predict both CDFs directly that took 3 images at a time, one randomly selected from each set. These images were fed in at either the odd or even time steps, randomly selected. This gave a lot more effective training samples than I would otherwise would have had. I also used translations and flips to augment the data. Compute the prediction for each heart by randomly selecting many different combinations for images from the three regions as well as different translations and flips and combing the resulting CDFs. I got slightly better results by averaging the inverse CDFs than averaging the CDFs directly. That's pretty much it. This had the advantage of being quick to implement and not too computationally expensive: it could easily be run overnight on 3 year old macbook pro. Unfortunately, I ran into severe overfitting problems when I tried to up the accuracy of this by moving to more layers or higher resolutions.",4,bronze,4,Tue Mar 22 2016 17:57:23 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19711,/competitions/second-annual-data-science-bowl,11th
/wcukierski,Quick & Dirty RandomForest,[Link]:https://www.kaggle.com/Megan nice start! You will score a lot better on the log loss metric if you submit probabilities for each outcome. Log loss is very mean to confident predictions (prob = 1) that happen to be wrong.,7,bronze,38,Tue Mar 22 2016 18:16:02 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19712,None,None
/yaziciemre84,stanford pos tagger,Hello Is it possible to use Stanford' pos tagger (in java - but can be used inside python) ?,0,None,2,Tue Mar 22 2016 18:24:06 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19713,/competitions/home-depot-product-search-relevance,2039th
/scirpus,XGB with Count Poisson,Changed binary:logistic to count:poisson,0,None,1,Tue Mar 22 2016 19:09:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19714,None,None
/neoneuro,How the Score is calculated?,"Hi, In Santander dataset we have TARGET value ""0"" in 96% cases and ""1"" in 4% cases. The page [Link]:https://www.kaggle.com/c/santander-customer-satisfaction/details/evaluation says: ""Submissions are evaluated on area under the ROC curve between the predicted probability and the observed target."" Can anybody help me how it is calculated on the example? Let we have 10 cases, with real answers 1,0,0,0,0,0,0,0,0,0 and prediction to be: 1,1,0,0,0,0,0,0,0,0 We found the first ""1"" but we also set the second value to be one, which is a mistake. What result score is here? Is it 0.5%? If we predict all to be zeros: 0,0,0,0,0,0,0,0,0,0 What score do we have here? Is it 0? For Santander, where we have only 4% of ""1"", what is better: to write 8% of instances to be ""1"" where all real ""1"" are found and also 4% of ""0"" are called to be ""1"" by mistake or to write for 2% of cases ""1"" and all of them would be ""1"". But 2% of ""1"" would be ""0""? Does Kaggle accept any ""unknown"" values? Can I submit dataset where 10% of data is missed or marked as ""Unknown""? p.s. I'm developing a free application for Kaggle data mining: [Link]:http://neoneuro.com/data-mining and try to make it as convenient as possible for both calculating and preliminary investigation for Python and R developers.",1,None,5,Tue Mar 22 2016 20:35:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19717,/competitions/santander-customer-satisfaction,None
/srt19170,What Would a Perfect Predictor Score?,"Well, you can't have a perfect predictor, because the outcomes of the games are not certain. But you could have a predictor with perfect knowledge -- that is, one that knows the true advantage of every game. How would that sort of predictor score in the Kaggle contest? The short answer is around 0.48. The (my) long answer is [Link]:http://netprophetblog.blogspot.com/2016/03/what-would-perfect-knowledge-predictor.html. I probably did something wrong in my analysis, so I look forward to corrections! :-)",1,bronze,10,Wed Mar 23 2016 01:32:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19720,/competitions/march-machine-learning-mania-2016,203rd
/segovia,"EDA and classification, score = 2.56180","Thanks for sharing the code. I am running it on my laptop and during the LiblineaR modeling step, warning messages showed up saying all my 8Gb memory has been used up. Just curious about what the memory size is on your computer. Thanks!",0,None,2,Wed Mar 23 2016 05:13:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19722,None,None
/iglovikov,Technical questions.,"Hello everyone, I have several technical questions. All images in the train/test have at most 500 pixels per side. 500x500 is a lot. I guess people make it smaller. How much smaller do you guys do so, that it works? 128x128? 256x256? When I use 128x128 I can fit all dataset into my RAM and my video card does not have problems with it also. But let's say I will want to work with bigger images, so that they will not fit. Can anyone share with me examples of code(I would prefer python) where people are able to train neural net without loading all data into memory at the same time. Let's say I want to use this approach: My target is 9 column array, where each row may have 0 or 1, telling if this image belongs to a restaurant that have these tags. But because restaurant may belong to several categories I am not treating this problem as classification, but rather as a regression problem with images as input and 9 binary outputs per image as an output. My question is: I do this per image. And I would be able to give an estimate(number from 0 to 1) for each image for each tag. But at the end we are interested assigning categories to restaurants and not images. So, what is good way to merge categories per image to categories per restaurant? Vladimir",0,None,3,Wed Mar 23 2016 05:38:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19723,/competitions/yelp-restaurant-photo-classification,62nd
/zerozero,Is Yelp going to give their benchmark? (ever?),Is there any chance that Yelp will disclose their own best metric for this problem? In the spirit of openness. It's also nice having a target. thanks!,3,bronze,1,Wed Mar 23 2016 05:59:50 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19724,/competitions/yelp-restaurant-photo-classification,None
/goodspellr,Existence of Efficient Code for Two Calculations?,"I'm doing some analysis and I hit a coding problem that would take more time than I have to solve. Any chance that someone has (and is willing to share) code which efficiently calculates the following? Given a submission-format file containing what are assumed to be the ""true"" probabilities, the Tourney Seeds file, and the Tourney Slots file. I'm looking to calculate: The probability that a particular game occurs during the tournament. (Taking two team IDs as input) The probability that two specified games BOTH occur during the tournament. (Taking two pairs of team IDs as input). I'm looking for something that calculates the probabilities analytically rather than using Monte Carlo. I know that (1) can be done fairly straightforwardly. If the tournament setup allows for Teams 1 and 2 to play in only round N+1, then Prob( Team 1 plays Team 2 in Round N+1 ) = Prob( Team 1 Wins in Round N) * Prob( Team 2 Wins in Round N) and Prob( Team 1 Wins in Round N) = Sum[ Prob( Team 1 plays Team k in Round N )*Prob( Team 1 beats Team k) , {k, 1, n} ] Using this, you can just create a lookup table with 2278 entries that can be efficiently referenced over and over. It's just a matter of comprehending the tournament structure and each team's seed. I just haven't had time to do this yet. As for (2), I'm not even sure how to do it efficiently. I'm thinking another lookup-table, but this time of size 2278*2277/2. The majority of these entries would obviously be probability zero (e.g., two different games that could happen only in the finals, or a finals game and a semi-finals game where neither team from the semi-final is in the finals). But there would be non-zero entries (e.g., a second round and finals game with the same team) Any help would be greatly appreciated. If it were within the competition rules, I'd offer to split my winnings with people who help. Although, you might not wish to receive such an offer; I'm currently 224th.",0,None,4,Wed Mar 23 2016 06:05:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19725,/competitions/march-machine-learning-mania-2016,140th
/niranjanmudhiraj,xgboost tutorial ,"can anyone explain, how efficient use of xbgoost, how to find best parameters and how to tune parameters in R? Thanks in Advance.",4,bronze,4,Wed Mar 23 2016 07:06:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19726,/competitions/santander-customer-satisfaction,2214th
/ksdwor,Seeking help regarding detection and treatment of outlier,"There are lots of variable having minimum value,mean and even 3rd quartile as 0. But their maximum value is somewhere above few thousands. So how can deal with this values higher values? Is capping appropriate method for dealing with this outliers? Also is it right to consider all values above (mu + 3 SD) as outlier in this case? Any help with this regards will be very helpful.Thank you.",2,bronze,2,Wed Mar 23 2016 10:23:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19728,/competitions/santander-customer-satisfaction,4029th
/olegpolivin,Linearly dependent features in xgboost,"Dear all, could you, please, explain me how does xgboost treats linearly dependent features? What I am particularly puzzled in, is that when I use all features in the competition dataset I get a higher score than when I use a reduced set of features (obtained by deleting all linearly dependent parameters). Thanks!",1,bronze,6,Wed Mar 23 2016 10:36:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19729,/competitions/santander-customer-satisfaction,548th
/kashsi,Looking for team mates to tackle this using R,I am a data scientist. I use R programming quite sometime. I am looking team mates to crack this using R. Let's get started. My email id is [Link]:mailto:normanmath1@gmail.com or reply to this thread. Let's crack this.,0,None,5,Wed Mar 23 2016 11:47:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19734,/competitions/shelter-animal-outcomes,None
/walkman,Is anyone using deep learning?,I've spent the past few days constructing DNNs using H2O. Disappointingly all the models scored higher than 0.5. I'm new to deep learning but I've heard it's very powerful. I'm just curious if anyone else is using it on this problem. Is deep learning the right solution here? Is the bad performance due to my parameter setup? Any advice would be great!,0,None,22,Wed Mar 23 2016 14:11:31 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19736,/competitions/home-depot-product-search-relevance,56th
/masterliu,It seems i can't view the public scripts anymore,Do you guys still be able to view the public scripts? It gives me blank web page when i tried to view the script.,1,bronze,4,Wed Mar 23 2016 14:43:28 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19737,/competitions/bnp-paribas-cardif-claims-management,208th
/rafikmatta,Looking for a team,"Hi All, New to kaggle and ML/Datascience. Looking for teammates. Software engineer with a minor in algorithms and stats from the U of T. 5 years of professional software experience. Looking to work mostly in Python but open to R. Please email me at [Link]:mailto:rafi.matta@gmail.com or post here. Looking to seriously get started in April.",0,None,1,Wed Mar 23 2016 15:07:00 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19738,None,None
/breakfastpirate,Will this be the biggest competition to date?,2225 teams with 40 days to go. About to pass Springleaf (2226 teams). Rossman is 3303. Otto is 3514.,0,None,22,Wed Mar 23 2016 16:19:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19739,/competitions/santander-customer-satisfaction,7th
/sajal0jain,Clustering using categorical data,"I have been exploring the Bank Marketing Dataset. [Link]:https://archive.ics.uci.edu/ml/datasets/Bank+Marketing Though it is a supervised learning problem, I am trying to look it from unsupervised perspective(by removing class of the output) and then compare the results of supervised vs unsupervised. I am trying to do clustering on the data. But some of the features are categorical in nature. For resolving it I am thinking to convert the categorical data to numeric(as distance measure will be required) by using binary indicator variables for all their values. Can someone please suggest if this can be a good approach, or if there is some other better approach for doing clustering on categorical data. I am using R for my code. Thanks, Sajal",36,bronze,15,Wed Mar 23 2016 17:35:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19741,None,None
/namlequang,Using BatchNorm on Fullyconnected layers,"Hello everyone! I have tried using batch normalization on fully connected layers in mxnet. The problem is that the results are not reproducible each time I restart R. This is my R codes: making the network hidden=c(256,256,128,64) data <- mx.symbol.Variable(""data"") fc1 <- mx.symbol.FullyConnected(data, name=""fc1"", num_hidden=hidden[1]) bn1 <- mx.symbol.BatchNorm(fc1,eps=0.001,momentum=0.9,fix.gamma=T,name=""bn1"") act1 <- mx.symbol.Activation(bn1, name=""relu1"", act_type=""relu"") fc2 <- mx.symbol.FullyConnected(act1, name = ""fc2"", num_hidden = hidden[2]) bn2 <- mx.symbol.BatchNorm(fc2,eps=0.001,momentum=0.9,fix.gamma=T,name=""bn2"") act2 <- mx.symbol.Activation(bn2, name=""relu2"", act_type=""relu"") fc3 <- mx.symbol.FullyConnected(act2, name=""fc3"", num_hidden=hidden[3]) bn3 <- mx.symbol.BatchNorm(fc3,eps=0.001,momentum=0.9,fix.gamma=T,name=""bn3"") act3 <- mx.symbol.Activation(bn3, name=""relu3"", act_type=""relu"") fc4 <- mx.symbol.FullyConnected(act3, name=""fc4"", num_hidden=hidden[4]) bn4 <- mx.symbol.BatchNorm(fc4,eps=0.001,momentum=0.9,fix.gamma=T,name=""bn4"") act4 <- mx.symbol.Activation(bn4, name=""relu4"", act_type=""relu"") fc5 <- mx.symbol.FullyConnected(act4, name=""fc5"", num_hidden=2) softmax <- mx.symbol.SoftmaxOutput(fc5, name = ""sm"") copy Run the codes logger = mx.metric.logger() mx.set.seed(seed) model <- mx.model.FeedForward.create( softmax, X=training, y=ytrain, eval.data=list(data=testing, label=ytest), ctx=mx.cpu(), num.round=200, learning.rate=learning.rate, momentum=momentum, initializer=mx.init.uniform(0.07), eval.metric=mx.logloss) copy Any suggestion? Thanks",0,None,2,Wed Mar 23 2016 18:16:08 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19742,None,None
/giusco,Transition to a commercial environment?,"Hello Kagglers, I have been following this precious website for one year and learned a lot, so thank you to all: admins, competitions, fellow users for hints and solutions. I am a bit puzzled now because I'm trying to make a transition to commercial environments, which are very different in needs and approach. Simply put: extreme technicalities, fine tuning, lots of resources and a lot of time are not commercial at all! On the other hand, data cleaning and preparation, a bit of feature engineering, a lot of documentation and simple, implementation-friendly methods are very often a must, even in startups. So my question to you kagglers is: assumed that heavy-computed xgboost & feature engineering do often the trick here on Kaggle competitions, what about your daily jobs in commercially-constrained environments? I would love to hear especially from independent consultants / data shops and small / mid-sized company employees. Thanks in advance.",4,bronze,5,Wed Mar 23 2016 23:59:26 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19745,None,None
/jeffsonas,Tourney performance so far (and still to come!),"Hi everyone, I thought it would be interesting to publish the prediction results of the current top-20 submissions (actually the top 22, namely everyone with a current score under 0.50) alongside some summary stats from all of Kaggle submissions, to help us understand why the leaders are leading. Also to let you compare how your submission performed against the top performers. So… in the attached XLS file, there are four tabs. The first tab, ""Performances"", lists out the 48 games that have been actually played. Column A tells you the mean Kaggle submitted percentage (across all 1070 submissions) for that game, always from the perspective of the winner. Column B tells you the mean Kaggle submitted percentage (from the perspective of the winner) among the top 300 submissions so far (actually the top 302, namely all submissions scoring 0.550 or better). And Column C tells you the difference between the two, so the ones where Column C is a larger positive number are the matchups where the good-performing Kagglers predicted significantly better than the mean Kaggler. And column D tells you the ""outcome ID"" of the game, with the winning team listed first and the losing team listed second. Remember these predictions are always from the perspective of the team that actually won. So a prediction near 100% is always successful, and a prediction near 0% is always disastrous, no matter whose team ID is lower or higher. Column F thru H let you look at the performance of your own submission - more on this down below. Columns I thru K show the performance of our resident leader, Mallorqui (submission 2704001, with a current score of 0.433943). For each of the 48 played games, you can see Mallorqui's prediction from the perspective of the winning team, the associated binomial deviance score for that game, and the difference between Mallorqui's score and the average score among those top 300 submissions. In column K, a plus-sign means Mallorqui did better, and a minus-sign means Mallorqui did worse (than the average top-300 binomial deviance score). So you can see that the most successful prediction was the 76.90% prediction for #14 SF Austin over #3 West Virginia (which got +1.30), and the least successful prediction was the 17.51% prediction for #6 Notre Dame over #14 SF Austin (which got -1.24). The other 21 submissions that have scored better than 0.500 are similarly listed off to the right, in three-column-blocks, between columns I and BV. Then, in columns BY thru CB, we can see the overall performance of all submissions, including the ""mean capped prediction"" and the ""mean capped bdev"". By ""capping"", I mean changing any predictions above 99% to 99%, and any predictions below 1% to 1%, before calculating the mean prediction or the mean binomial deviance. This is to keep spectacularly failing predictions from dominating the mean bdev calculation. But if you really want to see those averages without capping, I also include the mean prediction and mean bdev. And note that it really is the mean binomial deviance, NOT the binomial deviance of the mean predictions. Similarly, columns CC thru CF show an overall average across all 22 submissions scoring 0.500 or less, and there are similar groupings of four columns off to the right, for progressively larger groups of those near the top, and the final grouping shows the opposite - all submissions scoring 0.55 or WORSE. Next is the second tab - ""Remaining Outcome Likelihoods"". There are 240 possible remaining outcomes in the tournament. Some are more likely than others. Using the mean predictions from Kaggle as the ""true percentages"" for each matchup, I have calculated how likely each outcome is. So for instance, the most likely outcome is #1 Kansas over #5 Maryland, first of all because we know that game will happen, and second of all because Kansas is likely to beat Maryland in that game. So there is an overall likelihood of 73% for that outcome happening. Whereas the least likely outcome (less than 0.1% likely) is #10 Syracuse over #5 Maryland, both because those two teams are unlikely to reach the final, and also because if they do reach the final and can finally play each other, then Syracuse is unlikely to beat Maryland. The total likelihood across all these possible matchups is 15.00, because there are 15 remaining games that will actually be played. Using those ""remaining likelihoods"", I have identified what are likely to be the riskiest remaining predictions among the top 22 submissions, by multiplying the likelihood of each outcome by the binomial deviance penalty if it does happen. For instance, in line 16 we see that Mallorqui (submission 2704001) predicts 0.1268 for #10 Syracuse over #11 Gonzaga, an outcome that ""overall Kaggle"" gives a 46% chance of happening (since we know they are actually playing in the next round, combined with the prediction of 46% for Syracuse if it does happen). Thus the expected binomial deviance contribution from that outcome is 0.95, and thus we can say this is the riskiest remaining prediction for the current leader, since the rows are sorted by the expected binomial deviance contribution (descending). You can also see the huge amount of risky remaining predictions for Hack-a-bracket's submission 2708057, which evidently risks it all on a 100% prediction (from now) of a North Carolina-Kansas final happening, plus North Carolina defeating Kansas in that final. And finally, the ""All Preds 48"" tab lists the actual predictions, for the 48 games that happened so far, for all 1070 submissions. Because the games are sorted the same way on this tab (by Outcome ID) and the first tab, you can filter on your particular submission, and then copy/paste-special the 2x48 grid of predictions and bdev's, into the yellow spot in the first tab (F4:G51), and that will let you see how you did against the top 300, in the same way we can see it for the top performers. For instance, if you want to see the relative performance of the ""All 0.5 Benchmark"", then (from the ""All Preds 48"" tab) select the 2x48 yellow cells for that submission, then Copy=PasteSpecial-Values onto the yellow cells in the ""Performances"" tab, and it will show you how that submission did against the top 300 submissions. After pasting, you will probably want to select rows 4-51 and then sort by column H, but make sure to sort by column D (the outcome ID) before pasting in anyone else's submissions, so that it matches the games correctly (i.e. both the source and destination are sorted by the Outcome ID). I probably could have done this more safely with VLOOKUP, but only just thought of this. I don't think Mark or I will have time to do the classification trees this year, sorry! Hopefully someone else can do something comparable. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/112800/3982/Top Performances.xls",8,silver,9,Thu Mar 24 2016 00:17:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19746,/competitions/march-machine-learning-mania-2016,86th
/bdilday,most common probabilities - 007,"researching something else, I discovered that the most common prediction, even more common than 0.5 or 0 or 1, is 007, [Link]:https://www.kaggle.com/bdilday/d/wcukierski/2016-march-ml-mania/another-test",0,None,5,Thu Mar 24 2016 05:05:45 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19747,/competitions/march-machine-learning-mania-2016,44th
/darraghdog,Exploring Audience & Text Length,"Nice work ! (Note : short msg, positive sentiment :) )",1,bronze,3,Thu Mar 24 2016 08:31:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19749,None,None
/waffleboy,Reduced features perform poorer?,"Hey guys, Has anyone managed to get higher accuracy using reduced features? I managed to reduce the number of features to 64 most important features (preserving all 3008 ones in train dataset) using xgboost, but subsequent classifiers always perform a bit better on the whole train dataset than the dimensionality reduced version! Is there anything im missing? Would love to learn :) Thanks! (link to the dimension reduction script [Link]:https://www.kaggle.com/waffleboy/santander-customer-satisfaction/dimensionality-reduced-dataset )",0,None,1,Thu Mar 24 2016 17:36:51 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19752,/competitions/santander-customer-satisfaction,2192nd
/hari141091,sample Reference needed,Hi ram/balaji kindly share samples of built in models so that we can get an idea as to where and how to start and proceed further with the model building thanks,0,None,3,Thu Mar 24 2016 17:52:14 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19753,/competitions/ssn-sace-pgcba-jan-2016,15th
/haox364,LB inconsistent with CV score?,"Hi folks, Does everyone's LB score match your cross-validation results? My best CV model got a 0.8419 mean AUC in 10-fold CV, while it's LB score is only 0.838. Would like to know if everyone's LB consistent with the CV score? Maybe there's mistakes in my code… Thanks, any help appreciated.",1,bronze,5,Thu Mar 24 2016 19:44:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19756,/competitions/santander-customer-satisfaction,1265th
/kennedyal1987,Could not find function sparse.model.matrix,"Hi All I seem to sometimes get the above error? And i cant pin point when it happens. The code train <- sparse.model.matrix(target ~ ., data = train) either works or it doesnt for me. Even if i try and run a script from the forum it either runs fine or i get the above error. I cant really give any more information or code to support this as it can happen with some of the working scripts in the forum. I am using R 3.2.3 Has anyone else had an issue like this before? Thanks",0,None,2,Thu Mar 24 2016 20:56:17 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19757,/competitions/santander-customer-satisfaction,958th
/bethyu,How to import data into MATLAB (read csv. file),Saving the csv. file at desktop. In MATLAB sets 'current folder' to desktop. Using code: M =csvReadFromKaggle('Mobserved50by200') to open the data.,0,None,1,Thu Mar 24 2016 22:07:32 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19758,/competitions/matrix-completion,25th
/tmoulik,Want to change the script to be used for leaderboard,"Hi, I submitted someone else's submission.csv from the submitted scripts just to test the numbers and now that number is associated to me on the leaderboard which is a higher number. I would like to go back to comparison with my script, but it does not allow me to do that. How do I delete the submission file from the other user, from my Submissions so it wont be used. Thanks.",0,None,6,Fri Mar 25 2016 00:18:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19759,/competitions/santander-customer-satisfaction,4348th
/tacoman206,Who to root for,"I made a quick app to show which teams each of the leaders is depending on. Each arrow points toward the entries that need it to do well to win money; for example, lavarez benefits a lot if Duke wins many games. (I'm only showing entries that have a chance of finishing in the top five) The exact metric I'm using the correlation between a team's wins and an entrant's money winnings. [Link]:https://liambressler.shinyapps.io/kaggle1stround/",2,bronze,2,Fri Mar 25 2016 02:48:30 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19762,/competitions/march-machine-learning-mania-2016,53rd
/mlwhiz,Anyone Wanna team up?,"Hi, I work with Python extensively and I am looking for a teammate/mentor to learn new tricks. If anyone is interested holler me up.",1,bronze,3,Fri Mar 25 2016 03:20:42 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19763,/competitions/santander-customer-satisfaction,2639th
/thursdayisgo,New to Kaggle: xgboost in SAS?,"First time kaggler, trying to use it as a way to teach myself programming. I notice the xgboost algorithm to be very popular in this competition and many others, it appears to be an R exclusive formula? I'm not familiar with R and haven't been able to find a technical explanation for what it's doing other than ""gradient boosting."" I'm more familiar with SAS and the gradient boosting there seems to yield far different results. Anywhere I can find the ""source code"" (not sure if terminology is correct) for the xgboost so I can try to port it to SAS?",0,None,3,Fri Mar 25 2016 03:46:55 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19764,/competitions/santander-customer-satisfaction,4812th
/luicaian,Submission Format,Why i saw some output from other kaggler are between 1 and 0 (eg. Adopted: 0.35) ? I thought all the output should be 1 and 0 only?,0,None,1,Fri Mar 25 2016 04:14:15 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19765,/competitions/shelter-animal-outcomes,476th
/vzocca,Why svc from sklearn takes so long?,"I have tried running: from sklearn.svm import SVC SVC(random_state=1, probability=True) just to get a sense of what I would get, but it is running for hours. Is this normal?",1,None,5,Fri Mar 25 2016 09:57:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19766,/competitions/digit-recognizer,None
/scirpus,Genetic Programming,This script gets a leaderboard score of 0.83x - can anyone tell me what the environment error is all about?,1,bronze,5,Fri Mar 25 2016 11:21:29 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19767,None,None
/samehif,gensim word2vec issue,"i am starting to explore with pretained word2vec and i downloaded google pretrained GoogleNews-vectors-negative300.bin. i checked the code here [Link]:https://github.com/3Top/word2vec-api but keep getting an error when i try to load the data. python word2vec-api.py --model ../GoogleNews-vectors-negative300.bin Traceback (most recent call last): File ""word2vec-api.py"", line 121, in model = w.load_word2vec_format(model_path, binary=binary) File ""/home/faidi/ML/lib/python2.7/site-packages/gensim/models/word2vec.py"", line 1092, in load_word2vec_format parts = utils.to_unicode(line.rstrip(), encoding=encoding, errors=unicode_errors).split("" "") File ""/home/faidi/ML/lib/python2.7/site-packages/gensim/utils.py"", line 217, in any2unicode return unicode(text, encoding, errors=errors) File ""/usr/lib/python2.7/encodings/utf_8.py"", line 16, in decode return codecs.utf_8_decode(input, errors, True) UnicodeDecodeError: 'utf8' codec can't decode byte 0x94 in position 7: invalid start byte Any idea?",0,None,8,Fri Mar 25 2016 13:06:22 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19770,/competitions/home-depot-product-search-relevance,None
/achinjindall,Duplicate features,"I've built a simple XGB model. The first thing I did was to remove zero variance features. This led to a small prediction bump as expected. After this, I removed duplicate features. I did this by using the following command (that compares the hash of all features and keeps only one feature with a given hash): df = df[!duplicated(lapply(df, digest))] This led to a small bump (about 0.05%) in the CV score but performed poorer than the previous model on the public leaderboard (-0.05%). Could anyone explain this? I did not tinker with the model parameters except the number of trees. I would think number of trees required would be smaller since number of features has decreased. CV score howeverp eaked at higher number of trees with duplicate features removed (814 vs. 760). For my final model, I tried same, fewer as well as larger nround to be sure. This has set me off as now I'm not sure if I should be removing duplicate features or not. I was also planning on looking at highly correlated features and doing something about that, but that won't make too much sense if I haven't removed duplicate features in the first place.",0,None,1,Fri Mar 25 2016 17:19:16 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19771,/competitions/santander-customer-satisfaction,47th
/zhicong,Questions about how to get the text from raw pdf,I really appreciate this dataset. May I ask how you manage to extract all the text from NIPS papers? I am building my own dataset for other conferences but found it very hard to get good results. May I get an idea how did you do that? Looking forward to your reply. Thank you!,0,None,2,Fri Mar 25 2016 17:25:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19772,None,None
/yifanxie,How do  you select booster type with XGBClassifier?,"Hello All: Looks like this competition is really booming! Anyway, it is the first time I try to use XGB's sklearn wrapper XGBClassifier, and I got a question: How do you choose which booster type with XGBClassifier? In the original XGB interface, this was done by explicitly [Link]:http://xgboost.readthedocs.org/en/latest/parameter.html"" between ""gbtree"" and ""gblinear"". and then you can follow up by chossing parameters specific to tree booster or linear booster. However, it seems that the XGBClassifier interface no longer distinguish ""general"" or ""booster"" specific parameter, moreover this not a parameter to decide which type of booster to use? I can see that both tree parameters like ""max_depth"" and linear parameter like ""reg_alpha"" can be specified at the same time… however: How do you know which type is being used? (I suspect it is tree) How do you explicitly choose a specific type of booster to use? I suspect I can always be sure and use the original interface, but XGBClassifier with its sklearn api for sure allow better integration with all the nice functionality in sklearn. Hope someone can help :)",0,None,4,Fri Mar 25 2016 20:07:56 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19773,/competitions/santander-customer-satisfaction,1258th
/willieliao,"Coulda, Woulda, Shoulda","The March Madness competitions have the perfect trifecta for regret: repeated leaderboard feedback, ability to tweak probabilities based on personal biases, and a wealth of different data points. So what would you do differently for next year? I would gamble more. The only tweak I did was changing the round 1 probabilities for seed 1s to 100% on one submission. I should have gambled a lot more because my two submissions are so similar. I didn't notice this cause I just saw that the predicted champions were different without realizing all the probabilities are within 2-3% of each other. Adjustments based on injuries. Wichita St was a lot stronger going into round 1 cause a starter got off the injury list. The reverse is true for Cal. My models seem to be less extreme than others. It worked well this year cause, on average, I got penalized less by the various upsets in the first 2 rounds. But in the sweet 16 and beyond, it also means it's hard to climb the leaderboard even when I correctly predict the wins.",0,None,7,Fri Mar 25 2016 20:53:54 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19774,/competitions/march-machine-learning-mania-2016,16th
/mylesoneill,Variance in university ranking,"This is a really cool visualization! Its a bit hard to read though, is there a better way to format the chart?",1,bronze,4,Fri Mar 25 2016 21:25:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19775,None,None
/snowdog,Banned countries,"From the rules: You are not eligible to receive any Prize in the Competition if you are a resident of a country designated by the United States Treasury’s Office of Foreign Assets Control Well, i tried to read [Link]:https://www.treasury.gov/resource-center/sanctions/SDN-List/Pages/default.aspx, but i couldn't figure out which countries are in the list. Is Brazil in that list? Thanks.",0,None,2,Fri Mar 25 2016 22:52:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19776,/competitions/home-depot-product-search-relevance,65th
/andreviana,Share knwoledge using Matlab,"Hello every one, I am using Matlab in this competition without success. My top score is 0.74982. I removed features with 0 std and duplicates ones. My current model is ensemble using RUSboost. I see a lot of people using xgboost on python or R achieving higher score very easily. Someone up to share knwoledge with me?",0,None,2,Fri Mar 25 2016 23:13:09 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19777,/competitions/santander-customer-satisfaction,1142nd
/inspector,Python Users : IDE or Ipython Notebook?,"For the python users out there - how do you iterate on Kaggle problems? Do you use notebook so as to persist data in memory or keep re-running code in an IDE (pycharm, spyder etc)? I am curious how people work with python tools?",9,None,24,Sat Mar 26 2016 00:53:10 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19778,None,None
/benhamner,Short comment analysis,"At the moment, this is more appropriately titled ""short analysis"" ;)",0,None,1,Sat Mar 26 2016 01:45:20 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19779,None,None
/andrelopes1705,Need help with Lasagne Error,"m using Lasagne and trying to build a neural network that outputs to just 1 sigmoid neuron. But when the Batch_size > 1, i get an error. I tried changing the tensors, i used my understanding to change them, but it doesnt work! Obs : It works fine on keras.. However, on keras i dont need to set the tensors. But i used the same load_data method and the same Error objective (MSE). Im using Lasagne and trying to build a neural network that outputs to just 1 sigmoid neuron. But when the Batch_size > 1, i get an error. I tried changing the tensors, i used my understanding to change them, but it doesnt work! Obs : It works fine on keras.. However, on keras i dont need to set the tensors. But i used the same load_data method and the same Error objective (MSE) So,Basically : This is the input/output of my convnet input_var = T.tensor4('inputs') target_var = T.ivector('targets') print ""*Convolutional Neural Network*"" network = lasagne.layers.InputLayer(shape=(None, 1, w, h), input_var=input_var) print ""...InputLayer :"", lasagne.layers.get_output_shape(network) copy … … And this is the output : network = lasagne.layers.DenseLayer( lasagne.layers.dropout(network, p=0.5), num_units=1, nonlinearity=lasagne.nonlinearities.sigmoid) These, below, are the functions for loss and test loss and prediction etc.. self.prediction = lasagne.layers.get_output(self.network) self.loss = lasagne.objectives.squared_error(self.prediction,self.target_var).mean() self.params = lasagne.layers.get_all_params(self.network, trainable=True) self.updates = lasagne.updates.nesterov_momentum(self.loss, self.params, learning_rate=learning_rate, momentum=momentum) self.test_prediction = lasagne.layers.get_output(self.network, deterministic=True) self.test_loss = lasagne.objectives.squared_error(self.prediction, self.target_var).mean() # As a bonus, also create an expression for the classification accuracy: self.test_acc = T.mean(T.eq(T.argmax(self.test_prediction, axis=1), self.target_var), dtype=theano.config.floatX) # Compile a function performing a training step on a mini-batch (by giving # the updates dictionary) and returning the corresponding training loss: self.train_fn = theano.function([self.input_var, self.target_var], self.loss, updates=self.updates) # Compile a second function computing the validation loss and accuracy: self.val_fn = theano.function([self.input_var, self.target_var], [self.test_loss, self.test_acc]) However when i do that, i get this : ValueError: Input dimension mis-match. (input[0].shape[1] = 1, input[1].shape[1] = 100) Apply node that caused the error: Elemwise{sub,no_inplace}(HostFromGpu.0, InplaceDimShuffle{x,0}.0) Toposort index: 208 Inputs types: [TensorType(float32, matrix), TensorType(int32, row)] Inputs shapes: [(100, 1), (1, 100)] Inputs strides: [(4, 4), (400, 4)] Inputs values: ['not shown', 'not shown'] Outputs clients: [[Elemwise{Composite{Cast{float32}(((i0 * i1) / i2))}}(TensorConstant{(1, 1) of 2.0}, Elemwise{sub,no_inplace}.0, Elemwise{mul,no_inplace}.0), Elemwise{Sqr}[(0, 0)](Elemwise{sub,no_inplace}.0)]] Backtrace when the node is created(use Theano flag traceback.limit=N to make it longer): File ""ConvNet_Script.py"", line 207, in <module> main() File ""ConvNet_Script.py"", line 175, in main batch_size=batch_size) File ""/home/andrelopes/private/Projeto/virtualenv-13.1.2/myVE/local/lib/python2.7/site-packages/ConvNet/ConvNet.py"", line 235, in init self.loss = lasagne.objectives.squared_error(self.prediction, self.target_var) File ""/home/andrelopes/private/Projeto/virtualenv-13.1.2/myVE/local/lib/python2.7/site-packages/lasagne/objectives.py"", line 169, in squared_error return (a - b)**2 copy What should i do? Thanks a lot in advance!",0,None,1,Sat Mar 26 2016 03:02:34 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19780,None,None
/vacovsky,Visualizer in Angular / ASP.Net Core,"Thought this was a cool data set to create an interactive visualization for, so here it is: EDIT: Python version that does the math correctly can be found here: [Link]:https://bitbucket.org/vacovsky/babynames_python This C# version doesn't do the math correctly, but could easily be modified to do so. [Link]:https://bitbucket.org/vacovsky/babynames_dotnetcore Originally wrote the back-end in python/flask, but C# did it better, so I went with it. Frontend is Angular / Chart.js [Image]:http://i.imgur.com/M4f3jcJ.png",0,None,1,Sat Mar 26 2016 08:05:04 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19781,None,None
/apapiu,Gender Equity Graphs by Year,"Really cool maps! I am however a little confused by the temporal aspect - I am not quite sure it adds any insight in this case, wouldn't it be easier to just have two static maps and less grey countries?",0,None,7,Sat Mar 26 2016 08:51:40 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19782,None,None
/xingyang,Take a look at the data,if x.find('days'): return age / 365 should be if x.find('day'): return age / 365,1,bronze,1,Sat Mar 26 2016 09:51:35 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19783,None,None
/jdphan,Using SAS for Competition,"I know that this has been discussed before, but I was just wondering why SAS is not a more common tool for Kaggle competitions. Most people seem to use R or Python, why not use SAS? (if you have access to it that is) SAS is one of the most widely used tools within large organizations and they have a number of procs and tools to use for analysis. So what gives? Thanks!!",0,None,1,Sat Mar 26 2016 19:24:25 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19788,None,None
/ramrasia,Python Script for same R settings not score even near by,"I am tring same xgboost setting in python but not scoring even near by. Not expecting exact same score but expecting near by score ! import numpy as np import pandas as pd import xgboost as xgb from sklearn.cross_validation import train_test_split from sklearn.metrics import roc_auc_score # Input data files are available in the ""../input/"" directory. # For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory # Any results you write to the current directory are saved as output. # load data df_train = pd.read_csv('data/train.csv') df_test = pd.read_csv('data/test.csv') #add number of zeros df_train['zero_occured_freq'] = 0 for i in df_train.columns.values: df_train['zero_occured_freq'] = df_train['zero_occured_freq'] + df_train[i].apply(lambda x: 1 if x==0 else 0) df_test['zero_occured_freq'] = 0 for i in df_test.columns.values: df_test['zero_occured_freq'] = df_test['zero_occured_freq'] + df_test[i].apply(lambda x: 1 if x==0 else 0) # remove constant columns remove = [] for col in df_train.columns: if df_train[col].std() == 0: remove.append(col) df_train.drop(remove, axis=1, inplace=True) df_test.drop(remove, axis=1, inplace=True) # remove duplicated columns remove = [] c = df_train.columns for i in range(len(c)-1): v = df_train[c[i]].values for j in range(i+1,len(c)): if np.array_equal(v,df_train[c[j]].values): remove.append(c[j]) df_train.drop(remove, axis=1, inplace=True) df_test.drop(remove, axis=1, inplace=True) y_train = df_train['TARGET'].values X_train = df_train.drop(['ID','TARGET'], axis=1).values id_test = df_test['ID'] X_test = df_test.drop(['ID'], axis=1).values # classifier clf = xgb.XGBClassifier(missing=np.nan, max_depth=5, n_estimators=551, learning_rate=0.02, nthread=4, subsample=0.7, colsample_bytree=0.7, seed=0) # fitting clf.fit(X_train, y_train, eval_metric=""auc"") print('Overall AUC:', roc_auc_score(y_train, clf.predict_proba(X_train)[:,1])) # predicting y_pred= clf.predict_proba(X_test)[:,1] submission = pd.DataFrame({""ID"":id_test, ""TARGET"":y_pred}) submission.to_csv(""submission.csv"", index=False) print('Completed!') copy",0,None,4,Sat Mar 26 2016 20:43:46 GMT+0100 (heure normale d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19789,/competitions/santander-customer-satisfaction,175th
/mksamelson,XGBoost:  Assistance Please,"I'm relatively new to Kaggle and I'm having a really frustrating problem with XGBoost. As far as I can tell I'm using xgb.train correctly. I also believe I'm preprocessing my data properly. When I train the model I get good results. Yet when I make predictions they are consistently inferior. Based on how I've prepared the data and given the parameter I'm using for the tree I believe I should have logloss results in the mid .40's. However, my predictions are consistently in the .60's. Can someone help me spot what is going on? Here is the str of the dataframe after munging an prior to adjusting form to feed into xgb.train.: > str(train.f) 'data.frame': 109321 obs. of 94 variables: $ v1 : num 1.336 -9999 0.944 -9999 -9999 ... $ v2 : num 8.73 -9999 5.31 -9999 -9999 ... $ v4 : num 3.92 -9999 4.41 -9999 -9999 ... $ v5 : num 7.92 9.19 5.33 -9999 8.86 ... $ v6 : num 2.6 -9999 3.98 -9999 -9999 ... $ v7 : num 3.18 -9999 3.93 -9999 -9999 ... $ v9 : num 10 -9999 12.7 -9999 -9999 ... $ v12 : num 6.09 6.51 6.38 6.32 6.22 ... $ v14 : num 11.6 11.6 9.6 11 11.9 ... $ v16 : num 8.57 -9999 5.88 -9999 -9999 ... $ v18 : num 0.107 -9999 0.245 -9999 -9999 ... $ v19 : num 0.149 -9999 0.144 -9999 -9999 ... $ v20 : num 18.9 -9999 18 -9999 -9999 ... $ v21 : num 7.73 6.76 5.25 6.41 7.35 ... $ v23 : num -1.72e-08 -1.00e+04 -2.79e-07 -1.00e+04 -1.00e+04 ... $ v27 : num 3.39 -9999 5.31 -9999 -9999 ... $ v28 : num 0.59 -9999 0.836 -9999 -9999 ... $ v35 : num 8.38 -9999 7.96 -9999 -9999 ... $ v36 : num 11.3 14.6 12.7 -9999 15.5 ... $ v37 : num 0.455 -9999 0.26 -9999 -9999 ... $ v40 : num 7.71 14.31 13.08 10.14 7.9 ... $ v42 : num 12.7 -9999 12.3 -9999 -9999 ... $ v44 : num 10.5 -9999 8.9 -9999 -9999 ... $ v45 : num 9.85 -9999 5.34 -9999 -9999 ... $ v49 : num 8.09 -9999 6.84 -9999 -9999 ... $ v50 : num 0.899 1.379 0.605 1.365 1.654 ... $ v51 : num 7.28 -9999 9.64 -9999 -9999 ... $ v53 : num 16.7 -9999 15.1 -9999 -9999 ... $ v55 : num 1.3 -9999 0.765 -9999 -9999 ... $ v57 : num 3.97 -9999 4.03 -9999 -9999 ... $ v59 : num 10.89 -9999 9.11 -9999 -9999 ... $ v61 : num 15.9 -9999 16.1 -9999 -9999 ... $ v67 : num 9.31 -9999 8.37 -9999 -9999 ... $ v68 : num 15.2 -9999 11 -9999 -9999 ... $ v70 : num 11.78 12.05 8.46 -9999 11.52 ... $ v76 : num 2.23 -9999 1.96 -9999 -9999 ... $ v78 : num 8.57 -9999 11.76 -9999 -9999 ... $ v80 : num 3 -9999 3.33 -9999 -9999 ... $ v82 : num 8.86 3.43 8.27 -9999 3.81 ... $ v84 : num 1.3 -9999 1.53 -9999 -9999 ... $ v85 : num 1.71 -9999 2.43 -9999 -9999 ... $ v86 : num 0.866 -9999 1.071 -9999 -9999 ... $ v87 : num 9.55 9.85 8.45 -9999 9.62 ... $ v88 : num 3.32 -9999 3.37 -9999 -9999 ... $ v89 : num 9.57e-02 2.68 1.11e-01 -1.00e+04 1.16e-01 ... $ v90 : num 0.905 -9999 0.811 -9999 -9999 ... $ v92 : num 0.442 -9999 0.271 -9999 -9999 ... $ v93 : num 5.81 -9999 5.16 -9999 -9999 ... $ v94 : num 3.52 -9999 4.21 -9999 -9999 ... $ v98 : num 8.88 8.3 11.59 -9999 8.97 ... $ v99 : num 1.191 -9999 0.842 -9999 -9999 ... $ v100 : num 19.5 -9999 15.5 -9999 -9999 ... $ v101 : num 8.39 -9999 5.88 -9999 -9999 ... $ v102 : num 2.76 -9999 3.29 -9999 -9999 ... $ v103 : num 4.37 -9999 5.92 -9999 -9999 ... $ v104 : num 1.57 -9999 1.67 -9999 -9999 ... $ v109 : num 3.93 4.25 1.18 -9999 2.44 ... $ v111 : num 0.433 -9999 3.367 -9999 -9999 ... $ v115 : num 2.86 -9999 12.94 -9999 -9999 ... $ v116 : num 1.95 -9999 3.13 -9999 -9999 ... $ v117 : num 6.59 10.6 3.48 -9999 8.85 ... $ v118 : num 5.91 -9999 6.23 -9999 -9999 ... $ v119 : num -6.30e-07 -1.00e+04 -2.79e-07 -1.00e+04 -1.00e+04 ... $ v120 : num 1.06 -9999 2.14 -9999 -9999 ... $ v122 : num 8 -9999 9.33 -9999 -9999 ... $ v123 : num 1.99 -9999 2.48 -9999 -9999 ... $ v124 : num 3.58e-02 5.99e-01 1.35e-02 -1.00e+04 4.99e-02 ... $ v126 : num 1.8 -9999 1.77 -9999 -9999 ... $ v127 : num 3.11 -9999 3.92 -9999 -9999 ... $ v130 : num 0.636 -9999 0.883 -9999 -9999 ... $ v131 : num 2.86 -9999 1.18 -9999 -9999 ... $ v38 : int 0 0 0 0 0 0 0 0 0 0 ... $ v62 : int 1 2 1 1 1 2 2 0 3 1 ... $ v72 : int 1 2 3 1 1 2 2 0 3 1 ... $ v129 : int 0 0 2 0 0 0 0 0 0 0 ... $ v3 : int 1 1 1 1 1 1 1 2 1 1 ... $ v24 : int 1 1 2 2 4 2 3 2 1 2 ... $ v30 : int 1 1 2 2 2 3 1 2 1 4 ... $ v31 : int 1 1 1 1 1 1 1 3 1 1 ... $ v47 : int 1 2 1 3 3 1 3 4 3 3 ... $ v52 : int 1 1 2 3 4 5 6 3 5 7 ... $ v56 : int 1 2 3 5 6 3 7 8 5 9 ... $ v66 : int 1 2 2 1 2 2 1 3 2 2 ... $ v71 : int 1 1 2 1 1 1 1 2 1 1 ... $ v74 : int 1 1 1 1 1 1 1 1 1 1 ... $ v75 : int 1 1 2 1 1 1 1 2 1 1 ... $ v79 : int 1 2 1 4 5 1 4 6 4 4 ... $ v91 : int 1 2 3 3 3 2 1 4 1 5 ... $ v107 : int 1 2 3 3 3 2 1 4 1 5 ... $ v110 : int 1 2 1 2 2 1 2 3 2 2 ... $ v112 : int 1 2 3 5 6 7 8 9 4 8 ... $ v113 : int 1 2 1 2 3 1 4 1 5 3 ... $ v125 : int 1 2 3 5 6 7 8 9 10 11 ... $ target: Factor w/ 2 levels ""No"",""Yes"": 2 2 2 2 1 1 2 1 2 2 ... copy In short, I have done the following: Converted chr factors to integers Replaced missing data with -9999 Converted the target variable to a factor with values ""Yes"" and ""No"" Determined an eliminated several continuous variables with correlation > .90 Dropped the v22 factor variable with 18,000+ values I then split a small portion of the training dataframe into an eval and training section for use in the model. I use eta = .01, rounds = 2000, max_depth = 8 for parameters (which interestingly I was able to determine using a successful gridsearch in caret). These parameters are in line with those that others are talking about in the forum so i don't think that is an issue. Here's the model code: dval <- xgb.DMatrix(data=eval.f, label=eval.f$target) dtrain <- xgb.DMatrix(data=train.f, label=train.f$target) watchlist <- list(val=dval,train=dtrain) param <- list( objective = ""binary:logistic"", booster = ""gbtree"", eval_metric = ""logloss"", eta = 0.01, max_depth = 8, subsample = 1, colsample_bytree = 1 ) clf <- xgb.train( params = param, data = dtrain, nrounds = 2000, verbose = 1, watchlist = watchlist, maximize = FALSE ) copy Here are some of the results I get toward the end of the run: ..... [1567] val-logloss:0.466968 train-logloss:0.258983 [1568] val-logloss:0.466950 train-logloss:0.258896 [1569] val-logloss:0.466934 train-logloss:0.258836 [1570] val-logloss:0.466947 train-logloss:0.258823 [1571] val-logloss:0.466981 train-logloss:0.258764 ..... copy Finally, here is the code used to preprocess the test.csv data and make predictions: #Drop first two columns (index and target) from train dataframe test.id = test$ID test = test[-c(1)] test = test[,names(test) %in% names(train.f)] #Change chr categorical variables to integers for (f in names(test)) { if (class(test[[f]])==""character"") { levels <- unique(c(test[[f]])) test[[f]] <- as.integer(factor(test[[f]], levels=levels)) } } test[is.na(test)] <- -9999 preds.test = predict(clf, newdata = as.matrix(test)) submission <- data.frame(ID=test.id, PredictedProb=preds.test) write.csv(submission, ""xgb7.csv"",row.names = FALSE) copy As you can see the pre-processing for test.csv is in all practical respects the same as for train.csv This model is currently producing a +/- .65. Can anyone offer any insight? Thank you.",1,bronze,20,Sun Mar 27 2016 03:01:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19790,/competitions/bnp-paribas-cardif-claims-management,1680th
/fhlgood,"scored .73025, my features","I did some simple feature engineering, here is a list of features that I used: whether the animal was named or not: categorical time in a day cycle: combined hours and minutes weekday: generated from DateTime year month days in a month sex: male or female sterilized or not, I treated unknown to its own group. breed: mix or pure color: number of words used to describe the color of the animal animaltype: cat or dog age: in days There are lot of aspects where I could see further improvement on features. For example: the frequency of names, more careful categorization of colors (black and white are common colors), more detailed categorization on breed, etc.",6,bronze,11,Sun Mar 27 2016 03:46:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19791,/competitions/shelter-animal-outcomes,44th
/donatasz,Understanding log_loss,"I read somewhere on this forum that last years winner had only 18 misclassification's. That made me suspicious way my submitted model is only in 126 place on a leader-board( my current result is 42 True predictions and 14 False ones). It seems that if I would had made my predictions more aggressive, something like: if pred> 0.5: pred==0.95 else: pred==0.05 My log_loss would be 0.34, instead of 0.53. I'm curious is this common case to manually edit your probabilities or other classifiers like neural networks ( never tried it) just predicting with higher confidence ? I've used SVC('rbf'').",0,None,3,Sun Mar 27 2016 04:19:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19792,/competitions/march-machine-learning-mania-2016,39th
/avishek,Local CV vs LB score difference :-(,I'm using sklearn's StratifiedKFold to create 4 train-val splits. Then using these to tune hyper-params. The public python script 'Parameter Tune' which scores 0.841189 on LB gives 0.8406 on the local CV. My own scripts (where I've added new features which should improve the LB score) get 0.8408-0.810 in local CV with param-tuning. But score way behind in 0.8370-0.8390 on LB. I guess its the CV folds misleading the param tuning. Is anyone else facing the same prob? Any hints/suggestions to solve this mismatch? Thanks in advance.,1,bronze,7,Sun Mar 27 2016 05:36:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19793,/competitions/santander-customer-satisfaction,1069th
/aissaelouafi,Neural Net classifier,MLP Classifier is not available in scikit-learn 0.17 version ?,0,None,5,Sun Mar 27 2016 18:31:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19796,None,None
/rayleighjeans,Cause of Death Recode,There are two entries in the DeathRecords table: 'CauseRecode358' and 'CauseRecode113' that don't seem to have accompanying look up tables for the meaning of the recodes. Is it possible to get this info?,0,None,8,Sun Mar 27 2016 20:10:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19797,None,None
/rdizzl3,How to handle overpowered variables?,"I am interested in knowing how to handle overpowered variables? When I use XGBoost one of the most prominent variables is v50 and is usually in a cluster on its own when I look at variable importance. However, when I create new features from v50 I actually lose accuracy in my predictions. So I am wondering what are other individuals/teams doing with these types of variables in general?",0,None,1,Sun Mar 27 2016 21:17:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19798,/competitions/bnp-paribas-cardif-claims-management,218th
/sagrules,2015 Best University Score Map,For some reason the script doesn't work in kaggle. But if you run it in your local computer it will work. Version 2 save an html file of the choropleth map.,2,bronze,2,Mon Mar 28 2016 00:09:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19799,None,None
/laogugu,Решение 0.80649,"Очень очень интересно что было сделано для результата, опережающий лучший с гиганским разрывом 0.035",7,bronze,10,Mon Mar 28 2016 03:47:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19800,/competitions/dota-2-win-probability-prediction,110th
/agrigorev,Feature importance stability in XGB,"When I add a new feature (in this case, sum of NAs, NA_count), it shuffles the top features in the feature importance table. I wonder what can be the reason? Without NA_count, the top features are v50 v12 v34 With NA_count, the top features are: v34 v21 v50 So v50 gets down a few positions. NA_count itself is not very important, according to xgb - it's somewhere at the end of the figure. Also, adding NA_count does not seem to give substantial increase in the score - only somewhere around 0.001, and it does not seem to be correlated with any other feature (max correlation is 0.07 with v117). So why adding a not important feature can shuffle feature importances? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113148/4002/importance_with_NA_count.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113148/4003/importance_without_NA_count.png",5,bronze,6,Mon Mar 28 2016 07:22:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19801,/competitions/bnp-paribas-cardif-claims-management,417th
/heyshayby,Social Media Datasets?,"Hey all, do you know if there are any datasets here related to social media, paid marketing campaigns on social media, etc'…? If there aren't any here, do you know where can I find some? I would like to review & analyze historical data so I can set benchmarks for our company if it helps to clarify.",13,None,3,Mon Mar 28 2016 13:18:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19803,None,None
/benhamner,"Probit, Logit or RF? ","Thanks for the detailed walkthrough Jamie! It was written well. Out of curiosity, how did you hear about Kaggle & what's your background?",1,bronze,5,Mon Mar 28 2016 19:25:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19807,None,None
/breakfastpirate,Your opinion: XGBoost's base_score parameter & AUC,"In your experience, does XGBoost's base_score parameter have any significant impact when the evaluation criteria is AUC? My intuition tells me no - because it is really only the relative values of the scores that matter, not the absolute scores. Furthermore, my experience is that after enough rounds, the scores converge to about the same thing as they would have otherwise. But just wanted to see what others' experiences were.",1,None,2,Mon Mar 28 2016 22:14:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19810,/competitions/santander-customer-satisfaction,7th
/rahiminasab,"(q,p) pairs independence assumption","The (q,p) pairs in this problem are clearly not independent - multiple queries of a same product (or multiple products relevant to a query) will likely have similar scores. This violates the assumption of independence that is behind every model (including RF regression). How do you deal with the lack of independence here?",0,None,3,Tue Mar 29 2016 01:14:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19812,/competitions/home-depot-product-search-relevance,1496th
/jlr0802,First Round Results,Is it possible to view the results from the first round of the competition (predicting tournament games from 2012-2015)? Thanks!!,0,None,1,Tue Mar 29 2016 02:41:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19814,/competitions/march-machine-learning-mania-2016,None
/rawis90,Master thesis - information retrieval for opinion mining,"Hi, I'm writing a master thesis about web crawling and sentiment analysis and need to do some experimental research. I wonder which sites can I use for information retrieval without problems and restrictions so that I could present the results (without any exposure of users etc. just the final results of opinion mining). I would like to crawl at least two pages. I as far as I know , reddit can be crawled without any specific restrictions (apart from the number of connections per minute). Do you have any idea what else can be crawled without the problems?",0,None,2,Tue Mar 29 2016 10:22:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19815,None,None
/vzocca,Understanding the data,"Is there an explanation of what the data means? For example, the acronym in v22, do they have a meaning?",0,bronze,1,Tue Mar 29 2016 10:55:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19816,/competitions/bnp-paribas-cardif-claims-management,900th
/kmakantasis,Help with xgboost in python,"Hello everybody, does anyone knows what the following error is about? XGBoostError: base_score must be in (0,1) for logistic loss I made several google searches but I can't find nothing thanks in advancve",0,None,14,Tue Mar 29 2016 13:16:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19817,/competitions/santander-customer-satisfaction,203rd
/yamiomar88,Feature Engineering: How to?,"Hi there, As I read the forums, I realize many of us are newbies. I'm looking forward to doing some feature engineering to improve my score. Can anyone recommend some appropriate reading? I've been reading the [Link]:http://blog.kaggle.com/ and I've searched online quite a bit for readings/tutorials/examples. I came up with some ideas for feature engineering using distances, k-nearest neighbors and other of the like but I am not sure this approach is the correct one and I have had a few issues with the code (currently using R) due to limited memory (8 GB). I made the wild guess that others may be facing the same issues and decided to post here hoping the top 50 competitors could point us to some readings or examples that may help us improve. Thanks!",3,bronze,7,Tue Mar 29 2016 14:13:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19818,/competitions/santander-customer-satisfaction,957th
/yangzhiye,Who can share me data that include 21298 questions？,Thank you， I missed deadline，but i want do it go on.,0,None,2,Tue Mar 29 2016 17:08:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19820,/competitions/the-allen-ai-science-challenge,None
/alexandrudaia,Stuck at  0.449,"Hi all, I tryied some various method to improve the scroe but it was with no luck.Last I tryied expanding features with 3000 more , I run an xgboost with 100 rounds but gived me 0.665, any sugestion?",0,None,5,Tue Mar 29 2016 21:19:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19822,/competitions/bnp-paribas-cardif-claims-management,195th
/del=a6087095b85e8579,Expanding Features approach,"Hi, I'm new to this, I'm trying to expand the features that I have, using Python scikit, pandas, to train in 1 xgboost, I tried a lot of approaches to expand the features: get_dummies (pandas) Dictvectorizer /OneHotEncoding -Polynomial … and nothing improves the result, I'm always around .455 Can you guys give me a tip on how to expand it properly. Tks!",4,bronze,1,Tue Mar 29 2016 22:26:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19824,/competitions/bnp-paribas-cardif-claims-management,None
/manu74,R scripts on website/laptop: results reproducibility,"Hi, I forked a script (that gave to other players the score of 0.841256) and use the prediction to submit a submission. I got the same LB score. Then I run the same script on my laptop, using Rstudio (Version 0.99.892), I did the prediction and got a very different LB score: 0.840249 Do anyone of you have experienced something similar? Which can be the reason of such a difference? Thanks",1,bronze,6,Wed Mar 30 2016 00:50:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19825,/competitions/santander-customer-satisfaction,397th
/datacanary,MKL linking error in Python container,"You might have run into a bug in the new build of our Python container (which we use for Python scripts) where you get this error report: Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so. copy The new build of Anaconda Python has introduced support for Intel's Math Kernel Library, which is great, but numpy hasn't been linking correctly. By and large, numpy and sklearn have been working normally; this is mainly affecting people who use sklearn's PCA module. We're very sorry for this hiccup, and are looking for a workaround. We'll deploy a fix as soon as we can.",1,None,3,Wed Mar 30 2016 01:02:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19826,None,None
/kashsi,What is wrong with the tree approach for feature selection,"Hi Data gurus, I am thinking to use tree package for feature selection. It seems pretty simple. Please refer to the attached tree figure. It seems var30 is a great feature to predict? Am I missing something? or how do I improve the code train.data<- read.csv(""~/Desktop/data/train.csv"") require(tree) tree.san=tree(TARGET~.,data=train.data,mindev=0.001) #summary(tree.san) plot(tree.san);text(tree.san,pretty = 0,cex=0.6) copy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113280/4015/Plot Santander.bmp",0,None,1,Wed Mar 30 2016 02:31:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19827,/competitions/santander-customer-satisfaction,None
/willieliao,Unofficial Leaderboard,"See attached for the unofficial leaderboard for the 8 different scenarios that may play out. These are not exact positions due to uncertainty about how ties would be broken. And of course, this is before removal of cheaters. The columns are ordered somewhat by likelihood. There are some pretty heavy gambles about North Carolina coming from jared-cross. And shantran really needs Villanova to win. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113283/4016/LB.csv",7,silver,7,Wed Mar 30 2016 05:52:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19828,/competitions/march-machine-learning-mania-2016,16th
/kashsi,Team up but only R,I am a data scientist and looking for team mates. If you are interested please drop me an email to [Link]:mailto:normanmath1@gmail.com Cheers,0,None,6,Wed Mar 30 2016 06:22:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19829,None,None
/philiphoyos,Unable to download any datasets,"I thought I throw myself into the game and start analysering US Election data, however, I was unable to download it. First I thought that it with that particular set but it seems to be a problem with all the datasets that I try to download. Is the server down, or am I doing something wrong?",0,None,1,Wed Mar 30 2016 07:35:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19832,None,None
/otpblom,Calculating error rate,"Hello, I'm new to Kaggle. After submitting my file i got a score, I would like to know how I could calculate the error rate out of this score. Thank you! Greets,",1,None,1,Wed Mar 30 2016 09:22:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19834,/competitions/sf-crime,1218th
/x75a40890,Deep Learning Regression,"Nice example, thanks for sharing",0,None,7,Wed Mar 30 2016 15:20:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19837,None,None
/aarainih,A Medical Perspective on the Quality of the Left Ventricular Volume and Ejection Fraction Measurements in the 2016 Data Science Bowl Competition,"A Medical Perspective on the Quality of the Left Ventricular Volume and Ejection Fraction Measurements in the 2016 Data Science Bowl Competition Andrew Arai, MD National Institutes of Health, National Heart, Lung, and Blood Institute, DHHS Bethesda, MD, USA Let me start by thanking all of the participating teams in this year’s Data Science Bowl (DSB) co-sponsored by Booz Allen and Kaggle. I had no idea what to expect from the results of this competition, particularly in light of the relatively short development time allotted. In brief, the results from the top 4 teams (which are all I have had access to so far) have been excellent. The measurement of left ventricular ejection fraction (LVEF) is probably one of the single most important numerical values determined on an adult patient with heart disease. It has been known for many years that a low ejection fraction predicts in patients that survive a heart attack are much more likely to die in the course of the next year than patients with a more normal LVEF. (1) There are also diseases that cause a heart to enlarge before the LVEF changes such as an aortic valve that leaks severely.(2) Thus, measurement of both LV volumes and the LVEF provide complimentary information that helps in the diagnosis of many patients with heart disease. Cardiac MRI is considered a reference standard for measuring LVEF and LV volumes in patients. LVEF can be measured by many other tests including echocardiography, radionuclide ventriculography, cardiac computed tomography, and cardiac catheterization. One of the reasons cardiac MRI has been accepted as a reference standard for determining LVEF and LV volumes relates to the reproducibility of making these important measurements.(3) Let us review how well the 4 top teams in the DSB did with respect to measuring the LV volumes and LVEF. When comparing two measurements of the same images, our standard statistical tests are simple linear correlation and Bland Altman analysis.(4) The results from the top scoring team show an excellent correlation between their measurements the cardiologist’s measurement. The Bland Altman plot shows limits of agreement (1.96 * SD) at about 22 ml. [Image]:http://i.imgur.com/dJWWmtW.png?1 [Image]:http://i.imgur.com/NwaeXEn.png?1 The correlation between the experimental measurement and the cardiologist measurement of LVEF appears slightly lower than the correlations for LV volumes but these results are still very good. The Bland Altman plot probably better represents the level of agreement between the two measurements of LVEF since the range of values is dominated by many values in the normal or near-normal range. [Image]:http://i.imgur.com/tsAgtYI.png?1 [Image]:http://i.imgur.com/3QA28ix.png?1 How do these results compare with published literature? As summarized in the following table from Bellenger et al,(3) there are different levels of agreement achieved when you ask one person to measure the same study twice (intraobserver). Agreement is usually a little worse when you ask two different people to measure the same study (interobserver). If you actually do two different MRI scans and have the same person measure the volumes and LVEF on each study, you get even worse levels of agreement (interstudy). In addition, inclusion of patients with heart disease, as opposed to normal subjects, also tends to degrade image quality as well as reproducibility of measurements. [Image]:http://i.imgur.com/nhnIDxr.png?2 Considering the patients included in the DSB were mostly referred for diagnostic studies, the most appropriate comparisons are probably derived from the inter observer measurements in patients with heart failure. In the Bellenger data, the Bland Altman limits of agreement were about 24 ml for LV end diastolic volume (EDV), about 19 ml for LV end systolic volume (ESV), and about 6.5 for LVEF. Thus the RMS error for LV end diastolic volume 12 ml, LV end systolic volume 10 ml, and LVEF of 4.7 by the winning team looks as good or better than the results published in 2000 when this sort of measurement was being actively studied in the primary medical literature. The following table indicates at least 4 teams achieved very similar levels of results. [Image]:http://i.imgur.com/7TuoavJ.png?1 One should not over interpret these results and comparisons. The DSB and the Bellenger paper are two very different data sets that might affect the reproducibility of measurements. How the root mean square errors from the DSB statistics compare with the Belenger Bland Altman limits of agreement should be addressed more formally. We will be performing that next level of analysis soon. Nonetheless, the quality of the results definitely warrants further investigation. We would welcome contacts from participants and have potential next steps that could benefit from the hard work that the groups have put into this challenging analysis of cardiac MR images. References: (1) Risk stratification and survival after myocardial infarction. The New England journal of medicine. 1983;309:331-336 (2) Bekeredjian R, Grayburn PA. Valvular heart disease: Aortic regurgitation. Circulation. 2005;112:125-134 (3) Bellenger NG, Davies LC, Francis JM, Coats AJ, Pennell DJ. Reduction in sample size for studies of remodeling in heart failure by the use of cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2000;2:271-278 (4) Bland JM, Altman DG. Measuring agreement in method comparison studies. Statistical methods in medical research. 1999;8:135-160 Images above and additional analysis of the 2016 DSB results are available: Mulholland, J. Leading and Winning Team Submissions Analysis. Data Science Bowl website [Link]:http://www.datasciencebowl.com/leading-and-winning-team-submissions-analysis/. March 30, 2016. Accessed date March 30, 2016",13,silver,A Medical Perspective on the Quality of the Left Ventricular Volume and Ejection Fraction Measurements in the 2016 Data Science Bowl Competition,Wed Mar 30 2016 16:26:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19839,/competitions/second-annual-data-science-bowl,None
/jmulholland,Winning and Leading Teams Submission Analysis,"Can we determine clinical applicability? This year’s competition was intended to catalyze a change in cardiac diagnostics, so connecting the competition participants and the medical community is an essential part of the DSB. I have done some preliminary analysis of the Data Science Bowl’s (DSB) top 4 team submissions. The goal is to present the results in terms that are meaningful to the medical research community. In doing so I hope to spark a dialog between the communities. DSB competitors produced diastolic and systolic volume cumulative probability distribution function (CDF) for each heart. Researchers, clinicians, and technicians will prefer an algorithm to output volumes, ejection fraction and a precision estimate for those predictions. Obtaining those quantities from the submission files requires some level of approximation. I will describe what was done for this post, noting where I made simplifying assumptions. The plots and visualizations presented here are valuable for understanding the significant of the results. Many of the plots were used because they appear in prior medical research on reliability of cardiac MRI. Please feel free to comment on, add to, and critique the approach outlined in this post. I have uploaded the script I used to generate the plots, and the solutions used to score the Private Leaderboard are live now. Dr. Andrew Arai of NIH provides a medical perspective on these results in another post, [Link]:https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/19839/a-medical-perspective-on-the-quality-of-the-left-ventricular-volume-and. Calculating a Prediction The DSB challenge was to use the images from a heart study to generate two cumulative probability distribution functions (CDF)—one for the end-systolic volume (SV) and one for the end-diastolic volume (DV). Those volumes are the left ventricle sizes at the beginning and middle of each heartbeat. There are 600 values in each row, giving the the predicted probability that the true volume of the chamber in mL is less than the value index (i.e., if the 34th value in a row is 0.55, then the model is predicting that there is a 55% chance that the volume is less than 34 mL). So, subtracting adjacent values will give the predicted cumulative probability that the volume falls between the value indices (ie, if the 35th value is 60% and the 34th value is 55%, then the predicted probability that the volume is between 34 mL and 35 mL is 5%). Doing this subtraction for each consecutive value in a row generates a discretized probability density function (PDF): P(i+0.5)=CDFi+1−CDFi, where the value for P(v) can be interpreted as the predicted approximate probability per mL that the true volume is v. For me, the PDF is a more intuitive way to look at the model submissions. A volume that the model is predicting as likely for a heart will show up as a peak in the PDF. I am using the expectation value and the standard deviation of the PDF as the single-value volume prediction and the uncertainty estimate for that prediction respectively. Summing over the bins in the PDF, the prediction and uncertainty estimate are: Vpred=598∑i=0(i+0.5)×P(i)andσ2V=598∑i=0[Vpred−(i+0.5)]2×P(i) The entries are already normalized, and the width of the bins are 1 mL, so I am not explicitly writing out the bin width or the normalization for these averages. Note, the PDF necessarily has one fewer bins than the CDF. This may look confusing depending on your background, but all I’m doing is finding the average and standard deviation of the PDF. In order to give you an idea of what these CDFs look like after I turn them into PDFs, I have included a set of 100 random PDFs along with the true values, for the top four teams’ submissions. Two submissions have nearly normal distributions and the other two have some distinct non-normal features. I invite feedback and discussion on better ways to translate the CDFs into single number predictions, or any comments on why there is a better way to look at the problem of digesting model output for consumption by the medical research community. Please see the uploaded files for the PDF comparisons. They are too big to post in-line Another important diagnostic metric is the ejection fraction (EF), which is calculated as EF=Diastolic Volume−Systolic VolumeDiastolic Volume. For each heart, I simulated EF distributions by collecting EFs calculated from 10,000 SV-DV pairs sampled from the SV and DV PDFs. I then took the expectation value of the simulated EF distribution as the model’s EF prediction. I verified over a subset of heart studies that the sample size I chose produces a stable EF expectation value. Limits of My Approach This overall approach requires some caveats. Using the expectation value as the “prediction” is only reasonable for PDFs that are well behaved and unimodal. In reality a model could output a prediction that gives high probability to disparate systolic (or diastolic) volumes, in which case, the expectation value of SV (or DV) may be inappropriate. Estimating the EF distribution from the SV and DV distributions may also be problematic because the SV and DV are clearly correlated. This simplest solution is to seek a model that directly produces the EF value. My overall approach will provide, however, an approximation of results that can be used to start a conversation with the medical community. We will eventually need to work with the medical community to develop a more rigorous analysis that takes into account some knowledge of the models. The medical community and the data science community must combine their effort to develop a method to rigorously translate model output into metrics that can be used for clinical evaluation and ultimately clinical use. Getting Clinical The table below shows root-mean-square (RMS) errors for the diastolic and systolic volumes and the ejection fraction (EF) from each of the top 4 teams. Remember, this is the RMS error value for the difference between the test value and the single-value prediction calculation. For some clinical perspective on these errors, the precision on human clinical determination of diastolic volume, systolic volume, and ejection fraction is about 13 mL, 14mL, and 6% respectively. Consider those benchmarks hearsay for the moment. I will edit the post with numbers from the literature and some references ASAP. With those benchmarks in mind, the RMS errors look promising. [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30134519/errorTable.png We can glean more about the potential clinical applicability of the solutions than just a RMS error. Rather than approaching this only from a model evaluation standpoint, let’s return to the original motivation of the challenge—diagnosing heart disease. As noted about, the quantity of interest for many diagnoses is the ejection fraction (EF). Roughly speaking, an EF under 35% is a dire emergency, around 60% is normal, and above 73% is considered hyperactive. I calculated the confusion (a.k.a. contingency) matrices for the top 4 competitors using diagnostic EF bins provided by Dr. Andrew Arai. If you take a close look at the matrices, you can get a picture of what might happen in a medical setting if these algorithms were put to use. [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100556/ContingencyMatrix.png The models keep the diagnosis categories pretty tightly grouped together. While the models are not right 100% the time, there is a very low probability of a severely abnormal EF being incorrectly categorized in the mild to hyperdynamic range. The normal to mild diagnoses are very likely to stay within their domain of the matrix. This is a pretty good sign pointing towards suitability for clinical applications. Other metrics that are used to evaluate clinical measurement techniques are correlation plots and Bland-Altman (BA) plots. The correlation plots are straight forward linear fits to the scatter pot of the true values versus the predicted data. For the BA plots, Vpred−Vtrue is plotted versus AVG(Vpred,Vtrue) for each prediction. A non-zero mean on the BA plot would indicate a relative bias between the two measurement techniques being compared (or in our case, a bias in the model, since we are assuming the test values are “true”). The dashed lines in the plot give the 95% confidence interval for the difference between the measurement types. What we would like to compare these BA plots to is other BA plots comparing two human measurements of the same data set. Is the variance in the plots comparable to human to human comparisons? Scroll to the bottom of the post for the correlation and BA plots. Does it know when it’s failing? We are especially interested in producing reasonable confidence estimates around volume and ejection fraction predictions. Michael Hansen, Ph.D, co-PI for this DSB, noted that the best models can fail, but they should “fail loudly.” We’d like a good measure of confidence for each individual prediction. In other words, “How well does the model estimate its own accuracy?” Ideally, if an individual prediction has a high probability of being wrong, a model will flag that prediction as uncertain. As mentioned before, I’m using the PDF standard deviation as an estimate of the model’s prediction certainty. A sharp peak indicates higher confidence whereas a wide peak indicates greater uncertainty. The plot below is an illustration of a way to visualize a model’s ability to estimate its own accuracy. For each prediction, the standard deviation of the PDF is plotted versus the error of that prediction. The structure of a plot can be conceptualized as shown in the below graphic. Predictions that fall in the bottom left quadrant would be very confident (small width PDF) and accurate (small absolute error). Points in the top right would be low confidence (wide PDF) and inaccurate (large absolute error). Neither classes of points are necessarily bad. If all the predictions for a model fall within the two aforementioned quadrants, one would know when to trust the algorithm’s output and when to consider retaking a measurement. However, points in the other quadrants (large error but purported accuracy) could confuse one’s ability to rely on the algorithm’s uncertainty estimate. [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/28193219/error-on-prediction.png In the plots that follow, the majority of the data points are shown in grey. The 5% best and worst errors are highlighted as well as the 5% widest and thinnest PDFs. I have looked at this a couple of ways, and the model error and “confidence” distributions are not obviously correlated. For that reason, I suspect that there is a better way to evaluate the models’ estimation of its own accuracy. [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/28193219/individual-prediction-error.png In Closing Hopefully, there will be an ongoing conversation between the medical and data science communities regarding the evaluation of these models for clinical use. Are there other metrics that would be useful? What else do you want to know about these models? What information from the model developers would help inform decisions that would be made in a clinical setting? From the data science community, is there more useful information that can be derived from the submission data? Are there better ways to estimate model prediction confidence? Are there better ways to calculate the prediction value? This post is a twin of the post on the DSB, [Link]:http://www.datasciencebowl.com/leading-and-winning-team-submissions-analysis/ [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100610/Tencia_n_WoshialexBlandAltman.png [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100604/kunsthartBlandAltman.png [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100559/Julian_de_WitBlandAltman.png [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100608/show_me_the_moneyBlandAltman.png [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100612/Tencia_n_WoshialexCorr.png [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100605/kunsthartCorr.png [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100602/Julian_de_WitCorr.png [Link]:https://s3.amazonaws.com/datasciencebowl.com/wp-content/uploads/2016/03/30100609/show_me_the_moneyCorr.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113324/4017/dsbAnalysis.py [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113324/4032/Julian_de_Wit100PDFs.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113324/4033/Tencia_n_Woshialex100PDFs.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113324/4034/kunsthart100PDFs.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113324/4035/show_me_the_money100PDFs.png",6,bronze,Can we determine clinical applicability?,Wed Mar 30 2016 16:26:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19840,/competitions/second-annual-data-science-bowl,None
/rdslater,Extra Trees Classifier--getting worse (feature selection),"I've been doing feature selection with extra trees and as I remove features I am suffering significant degradation of my loss function. In the full data set I can hit about .455 log loss. I tried various tricks like weighting the classes and that actually made things worse--which was a surprise. What I did for feature selection was throw in a new column for my data frame of purely random floats between 0 and 20. My original data set had around 340 columns (original variables-categorical variables+one hot encoding of categoricals -- with v22 as a continuous variable.). As I dropped columns/features with very low relevance my log loss is actually moving up towards .500 or worse. I tried to re-optimize my classifier as of course I have fewer features, but I don't understand what is going on--any insight into how the extra tree classifier works (as I understand it is robust to noise, but in this case it appears that dropping poorly performing variables was actually making things worse--seems counter-intuitive--especially as their impact was less than a random variable.",0,None,4,Wed Mar 30 2016 17:03:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19841,/competitions/bnp-paribas-cardif-claims-management,204th
/cast42,Basic Feature Exploration,"Very interesting Notebook. Thx for sharing. I taught it would be better to set max_features to 2 when evaluating the pairs of features: verySimpleLearner2 = ensemble.GradientBoostingClassifier(n_estimators=10, max_features=2, max_depth=3, min_samples_leaf=100, learning_rate=0.3, subsample=0.65, loss='deviance', random_state=1) copy It increases AUC for the best combination saldo_var30/var15 slightly. Hence conclusions remain the same.",3,bronze,2,Wed Mar 30 2016 17:03:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19843,None,None
/theinkedeconomist,UniBattle! Berkeley vs Stanford,"Small suggestion: I think you should flip the y-axis to make it more intuitive. For example, when the Berkeley rank plummets relative to Stanford you see a large downswing rather than an upswing.",1,bronze,2,Wed Mar 30 2016 17:53:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19844,None,None
/andraszsom,Convert dog breeds into dog groups using outside data?,"Hi everyone, I guess most of you saw already that there are more than 1000 unique entries in the dog breed feature, so the dog breeds are rather difficult to work with. I converted the breed feature into a group feature (e.g., hound, terrier, sporting, toy) and that helped me to reduce the number of categories while still retaining important info about the dogs. My problem is that I had to use data outside the competition and I'm not sure whether that's OK. So please let me know below. Advice from the good people of kaggle would be greatly appreciated! I used data from this wiki page that describes the groups of breeds based on info from the American Kennel Club (AKC). [Link]:https://en.wikipedia.org/wiki/List_of_dog_breeds_recognized_by_the_American_Kennel_Club This wiki list is not complete, so I checked which breed names occur frequently that are not on this list and I looked up their groups and added it to my database. Pit bulls are very frequent but they are not recognized as an official breed by the AKC. So I added ‘Pit Bull’ as its own group, and I also added a ‘Mix’ group. Then I converted the breed strings into group lists. Here are a few examples to give you an idea: German Shepherd/Great Pyrenees => [‘Herding', 'Working'] Miniature Schnauzer/Miniature Poodle => ['Terrier', 'Non-Sporting'] Pit Bull Mix => [‘Pit Bull', 'Mix'] Beagle/German Shepherd => ['Hound', 'Herding'] Dachshund Mix => [‘Hound', 'Mix'] Chihuahua Mix => [‘Toy', 'Mix'] Maltese => [‘Toy'] Siberian Husky => [‘Working'] If it is OK to do this, I'll share my csv file, the plots I made, and the findings below.",2,bronze,8,Wed Mar 30 2016 18:05:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19845,/competitions/shelter-animal-outcomes,609th
/juliandewit,3rd place writeup,Here a blog post on the 3rd place general approach. [Link]:http://juliandewit.github.io/kaggle-ndsb/,10,silver,2,Wed Mar 30 2016 19:31:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19846,/competitions/second-annual-data-science-bowl,3rd
/isaacmoore7,Accuracy of cross validation logloss,"Hi, My algorithm uses GridSearchCV with extra tree classifier as the estimator for feature selection and then one hot encoding and gradient boost classifier for prediction. best_params_ are selected from param_grid = { 'n_estimators':[200, 700], 'max_features':['auto', 'sqrt', 'log2'] } As the parameters change, the features selected also change and these are automatically passed on to the cross validation step which is the train data split 50:50. The output for one of my runs looks like this; Starting make_classification… {'n_estimators': 200, 'max_features': 'sqrt'} Make_classification done… Features have now been selected… [ 8 10 16 18] One hot encoding done… Prediction done… Logloss score is… 0.114776157115 How transferable is this performance to the test data? Does anyone get this type of logloss from their cross validation step and what does this translate to on the LB? Thanks,",0,None,12,Wed Mar 30 2016 20:42:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19847,/competitions/bnp-paribas-cardif-claims-management,463rd
/juandoso,Could have been Image Classification,"Kind of depressing, but this could have been an excellent competition for image classification. Just a though.",1,bronze,2,Wed Mar 30 2016 22:47:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19849,/competitions/shelter-animal-outcomes,929th
/kashsi,XGBOOST dummy variables ,Hi Please explain the purpose of having dummy variables for categorical features in R? specially when we use xgboost package? Without having dummy variables can't we achieve the required error rate? Does that prove mathematically?,1,None,7,Thu Mar 31 2016 04:34:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19851,/competitions/bnp-paribas-cardif-claims-management,None
/fhlgood,"finally passed .7, some thoughts","It might be an overkill for this competition, but it is kind of fun to see my models keep improving. It seemed that ensembling different classifiers could produce better prediction results. My best submission was an ensembled prediction from random forest and xgboost models. Since it is also a learning process for me, I might tryout some svm and glm too. Features might not be as important as I thought it would be, and I actually did worse with more complex features. The most important predictors always seemed to be time scales, age, and sterilization. Hope this helps!",1,bronze,2,Thu Mar 31 2016 06:01:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19853,/competitions/shelter-animal-outcomes,44th
/jamesdlawrence,Causality,"I just noticed this in the competition rules: ""Your model should only use information which was available prior to the time for which it is forecasting."" I think I'm probably breaking that rule at the moment (the train and test data are all intermingled)! What should I do?",0,None,7,Thu Mar 31 2016 11:58:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19858,/competitions/shelter-animal-outcomes,94th
/yanwii,Pandas,here are the data: NUM A 3 3 4 B 4 4 3 I want to count the times that the times of '1' and '2' in A and B just like 3 4 A 2 1 B 1 2 how to achieve？,0,None,1,Thu Mar 31 2016 15:01:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19859,None,None
/theinkedeconomist,Are Temperatures Normal?,"You're showing the sampling distribution of the arithmetic mean of temperature, not the distribution of temperature itself. If the Central Limit Theorem holds then eventually, with enough observations, the distribution of average temperature will converge to a normal regardless of the underlying distribution of temperature. This is why average temperatures in New York in May appear normal. I'm not saying temperature is non-normal (it probably is) but you should be showing the distribution of individual temperature readings, not average temperatures.",3,bronze,1,Thu Mar 31 2016 17:13:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19860,None,None
/innerproduct,imports not working on python scripts?,"Hi, It seems (some?) imports are not working for python scripts. See, for example: [Link]:https://www.kaggle.com/innerproduct/santander-customer-satisfaction/test-imports/ . Thanks.",0,None,1,Thu Mar 31 2016 17:45:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19861,None,None
/ramya1215,How Big is the Data Set Size,After extracting how big is the data Set Size,0,None,1,Thu Mar 31 2016 20:40:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19862,/competitions/yelp-restaurant-photo-classification,None
/benhamner,Australian University Comparison,"What's this, the battle to be the worst uni in the world? ;)",0,None,1,Fri Apr 01 2016 01:52:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19864,None,None
/kashsi,In R how do I change the characters in features to numeric? ,"I have loaded data like this library(data.table) library(bit64) train.a<- fread(input = ""~/Desktop/Kaggle/Animal/train.csv"", data.table = FALSE) copy I want to check means based on characters on the features. How could I do that? I tried summary command but it didn't give anything because we have characters in features. In that case how do I get the summary? How do I start to analyse this problem? Do I need to change features to numerics?",0,None,1,Fri Apr 01 2016 02:25:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19865,/competitions/shelter-animal-outcomes,None
/lenalario,96 percent accuracy,"I'm getting 96 percent accuracy. Finished model building in less than 3 hours. I'm using commercial software, so I'm not planning to submit this model/results. Is anybody else getting 96 percent? I used feature selection and 3 decision trees, then ensemble scoring.",2,bronze,16,Fri Apr 01 2016 04:24:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19866,/competitions/santander-customer-satisfaction,None
/olafwied,DateTime Question,What does the DateTime field represent? The date the animal left the shelter? Or the date it arrived? Thank you,7,bronze,14,Fri Apr 01 2016 06:25:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19867,/competitions/shelter-animal-outcomes,None
/nageshk,"Did anyone see ""This site has been seized"" by FBI message this morning at 10:20 IST?","As I turned my desktop on and opened chrome at work around 10.20 AM IST or 4.50 AM UTC, I was shocked to see this message. As I refreshed I saw the kaggle home page. Did this happen to anyone?",5,silver,22,Fri Apr 01 2016 06:56:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19868,None,None
/goodspellr,Kagglers vs. Vegas,"I was wondering how well the competitors in this year's competition compared with Vegas predictions, so I put together a script to generate the attached csv file: [Link]:https://www.kaggle.com/goodspellr/d/wcukierski/2016-march-ml-mania/kagglers-vs-vegas/ Explanation: Comparing with Vegas is a little bit tricky and there are a few ways to do it: Ignoring the Log Loss metric of this competition, one way to compare is by calculating how often the team predicted to be the favorite wins. Vegas's favorite has won 73.3% of the games played so far. In the column labelled 'correctWinPred', I calculate this for all of the entries in this year's competition. By this measure, 96 entries have outperformed Vegas this year, with Lavarez leading at roughly 82%. Another way to compare is by converting Vegas spreads to probabilities of winning and calculating a Log Loss for Vegas. A standard way discussed in the forums (and the attached documentation) of converting between spreads and probabilities was to use the CDF of the normal distribution and to use a standard deviation of 10.5 (resulting from fitting historical data). Doing this, Vegas currently has a Log Loss of 0.531457937831. Pretty good, but there are currently 18 Kagglers doing better, as can be seen by the column 'logLossWin'. Vegas is primarily concerned with whether or not teams cover the spreads. It turns out that if we assume the standard normal distribution and the same standard deviation of 10.5, we can convert individual probabilities of winning into probabilities of covering the spread. (see the attached PDF). We can then look at how often Kagglers correctly favor a team to cover the spread. This is labeled 'correctCoverPred' in the csv file. By definition, Vegas should be at 50% since Vegas sets the spread so that neither team is favored. Right now, 345 entries are beating that mark, with Jeremy James in the lead at 66%. Similarly, we can use the calculated probabilities of covering the spread and the game result (spread covered or spread not covered) to define a different log-loss metric. This is called 'logLossCover' in the csv file and in the script. By definition, Vegas should score the all-0.5 benchmark score of 0.693147. There are currently 30 entries scoring better than Vegas by this metric, with Bayz leading the pack at 0.6574. All except the first comparison rely heavily on using the normal distribution (with an estimated parameter) to do conversions. I'm not sure how trustworthy that is, but I thought it was interesting nonetheless. One thing to note, and which makes the Kagglers' performance even more impressive, is that Vegas is using up-to-the-minute information to make their predictions. The Kagglers do not have that luxury, yet are still beating Vegas in multiple metrics. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113459/4020/kagglersVsVegas-2.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113459/4021/KagglersVsVegas.pdf",6,silver,5,Fri Apr 01 2016 07:18:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19869,/competitions/march-machine-learning-mania-2016,140th
/loohai,Sample Submission File Missing,"Normally you will find sample_submission.csv file on the data page. This seems to be missing. Anyway, I have uploaded one with all predictions set to 0 for your convenience. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113465/4022/sample_submission.csv",3,bronze,1,Fri Apr 01 2016 07:49:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19870,/competitions/sas-analytics-challenge,3rd
/shivithan,State Ideology and Health Care Costs ,may i know what vector function has been used to get the state ideology scores?,0,None,2,Fri Apr 01 2016 10:43:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19871,None,None
/mishyak,Оффтоп. Ищу тиммейтов на kaggle.,Уровень - новичок (текущий курс + Andrew Ng). Ищу соратников для совместного обсуждения/решения задач на kaggle.,0,None,5,Fri Apr 01 2016 12:46:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19872,/competitions/dota-2-win-probability-prediction,86th
/beyhan21,Feature Engineering tecniques,"Hello my friends, We are stucked one point.Some dudes(on kaggle) said 'has 7k++ features.' We have already created just 300+ features.Is there a tecnique for creating most of features ?",2,bronze,2,Fri Apr 01 2016 13:23:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19874,/competitions/bnp-paribas-cardif-claims-management,195th
/nickduddy,Newb Looking to Join a Team,"Hello! I'm new to, well, all of this. I'm wondering if there is a team or if someone would like to form, that I could join in order to help me learn more. I am an absolute beginner to everything, including python which is the language I'm using. Thanks, Nick!",0,None,1,Fri Apr 01 2016 15:02:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19875,None,None
/margiehertneck,Error warning on submission,"Can anyone help me figure why this is happening? I've started getting the following error message upon submission, even though I'm using the same submission file code all along and my csv file has an ID and TARGET column in the appropriate formats: Column '### SANTANDER MODEL 7 ###' was not expected (Line 1, Column 1) Required column 'ID' could not be found Required column 'TARGET' could not be found",0,None,3,Fri Apr 01 2016 15:49:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19876,/competitions/santander-customer-satisfaction,3127th
/alessandrobenedetti,Categorical Features with LambdaMART ( Ranklib implementation),"Hi gents, I almost just entered the amazing world of Learn To Rank in Machine learning and I find it so exciting :) Kaggle is an amazing resource, so I would like to ask you a couple of ""beginner"" questions… Algorithm : LamdaMART How do you deal categorical features with relatively high cardinality ( 1000-2000 values) ? I don't like the idea of simply encoding each category in an numeric id ( we are indeed passing a wrong ordinal information to the learner and I assume that this will complicate the learning process ). So I was thinking to feature encoding, in particoular one hot encoding seems the most reasonable approach to me ( we are indeed passing the learner the best information we can and we should ease the learning process) My only concern is the explosion of the feature number ( but to be honest I don't know yet, which number of feature can be considered excessive or normal) . Anyway I was checking that rankLib is going to manage sparse training set, so each entry will need to only expose not null features. Any observation, insight ? Thanks !",0,None,2,Fri Apr 01 2016 18:22:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19877,None,None
/kdziedzic66,Obtain if the breed is pure or mixed,"Simple python function to obtain if the breed is pure or mixed: import re def is_pure(line): y = str(line) z = y.split('/') if re.search('Mix|Domestic',y) or len(z)>1: return 0 return 1",0,None,1,Fri Apr 01 2016 19:06:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19878,/competitions/shelter-animal-outcomes,None
/kalliola,Machine learning with rules instead of data,"I have a AI problem in which I don't have data, but relatively big, complex and fuzzy set of rules given by domain experts. Natural approach would be to implement these rules by rule tools or languages like JESS. However, I am not familiar of those, but I AM familiar of ML and therefore would like to use ML to implement the rules. Basically, my idea is the following: 1) generate artificial data using the rules 2) create ML model using the generated, artificial data set I tried to search from web some papers or other info on this approach, but couldn't find any. Has anybody came across this kind of idea? /// ""When you have a hammer, every problem looks like a nail""",0,None,4,Fri Apr 01 2016 19:09:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19879,None,None
/samehif,Team up,Currently in 15th position. I have a strong single xgb model with 70+ engineered features. Not doing any ensembling and not using any external data sources besides the public spell check dictionary. I have also a very stable cross valdation setup. My local score is lower than LB score by about 0.00012 and it is very consistant. Looking to team up with someone who had some success with ensembling and/or usage of external data and who is in close by position,0,None,9,Fri Apr 01 2016 19:22:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19880,/competitions/home-depot-product-search-relevance,None
/laogugu,Highly correlated features,What should be the linear correlation between two features in order to consider it's removal from the set? Thanks!,0,None,2,Fri Apr 01 2016 21:14:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19882,/competitions/bnp-paribas-cardif-claims-management,941st
/phxcheme96,Data Quality and Sampling,"Hello, all. First forum post, I'm new to the site but look forward to interfacing with other nerds. I'd like to throw a topic out there to see if I can get any ideas. Pardon the length, I've posed these questions in a few areas (emails to a few academics, etc.) and some explanation of context is required. Background and Context I work in pharmaceutical manufacturing. Some data at our plant are considered very critical given that they directly relate to patient safety by way of characterizing drug quality. For example, data from some analytical tests demonstrate drug potency prior to release for commercial distribution and are considered highly critical. An example of less critical data would be historical trends from a building management system monitoring performance of non-critical support utilities and HVAC. The criticality of data within the business therefore is seen to span a spectrum of risk. In my area of work, the greatest attention is towards those systems and processes closest to product quality and patient safety. Accordingly, such systems and their data are subject to more technical and procedural controls, systems validation, and scrutiny by regulatory authorities. Problem Statement I have been tasked to work with cross functional groups in controls engineering, IT (database and infrastructure management), and other subject matter experts develop schemes for ""Data Verification"", a term I will use here to describe the testing, review, and/or analysis of data to ensure its accuracy, consistency, reliability. For example, when data is extracted from databases, this is done either through static,controlled applications and according to established procedures, or (more commonly) through ad hoc queries (SQL, etc.) generated by engineering or user groups responsible for data management. Efficacy of the former method is demonstrated through validation of the governing application(s) and/or scripted queries. Ad hoc queries, however, require some level of code review and verification of data accuracy to ensure reliability to the end user. Often, the volumes of data generated are large and verification of each data point by a second person is prohibitive. So, some kind of sampling methodology becomes necessary. My questions What sort of sampling methodology might one use to verify the accuracy of data points within a data set? Assume, for example, a second person performing the data review has visibility to the source data, and must provide a level of assurance that the extracted data is accurate, reliable, representative, consistent, etc. Often it requires us to define these aspects of data quality, particularly when it is not a one to one transfer. An example would be translating data elements from a database for one application to that of a different application. Can such a sampling methodology be statistically based? Are there standard schemes in the data sciences by which to apply probabilities of defective data points as a result of automated (scripted) or even manual (e.g. manual entry) data extractions, such that some aggregate probability could be used as the basis of a statistically meaningful sampling scheme? What types of errors might I consider as potential causes of defective data because of data extraction and/or migration of data from one source to another? Scripting errors? Application (software) errors? Errors in data transmission (such as across congested network infrastructure, etc.)? Can you recommend any sources whereby I can learn more about sampling of data as a matter of ensuring “data quality”? Is anybody reading this currently involved in such an initiative? I look forward to any responses. Thank you for your help.",0,None,5,Fri Apr 01 2016 22:45:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19883,None,None
/mrisdal,Escape from Poverty,Your graphic looks like a literal cornucopia of art!,1,bronze,1,Sat Apr 02 2016 04:51:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19884,None,None
/mrisdal,"Age, gender, breed, and name vs. outcome","I really liked the organization of your script -- it's very helpful to have the high level insights laid out and succinctly summarized at the start. For the outcome proportions versus age in days, I struggled with how to visualize the fact that very old animals were relatively few in number. The figure gives equal weight, of course. What do you think would be a good way to show this?",1,bronze,6,Sat Apr 02 2016 05:01:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19885,None,None
/gmeghana,Labeled Data for Test Dataset?,Is there any way we can see the labeled data for the test dataset now that the competition is over so that we can determine our accuracy rate?,8,None,1,Sat Apr 02 2016 06:06:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19886,/competitions/whats-cooking,None
/adityashrm21,Santander XGBoost,"I am getting an error when running the same script on my machine. How to make this work? num_round = 100 using XGBoost bst = xgboost(train_X, num_round, label=train_Y, eta=1, max_depth=2) copy LoadError: UndefVarError: xgboost not defined while loading In[33], in expression starting on line 4",0,None,1,Sat Apr 02 2016 08:10:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19888,None,None
/kingmenin,Метрика соревнования,,0,None,2,Sat Apr 02 2016 09:41:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19891,/competitions/competition-2-yandex-shad-spring,120th
/ahana22,Fun with stemming and feature reduction,"What all packages are needed for executing this code? And after executing the code, the result column is not getting added to the database.",0,None,4,Sat Apr 02 2016 11:07:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19892,None,None
/rlomascolo,var38 is mortgage value?,"Analysing var38: If you remove the mode, 117310.979016494, and calculate the mean of the remaining samples you get a value of 117217.533308. In Spain the average mortgage has been fluctuating between 118000 euros in 2011 and 105000 in 2015. The crisis has reduced their total amount. If the customer has the mortgage with Santander, they put the real value, if the customer has the mortgage with another bank, they put some country average? What do you think? print X_train.shape X=X_train[X_train['var38'] != 117310.979016494] print X.shape print X['var38'].mean() .......... (76020, 369) (61152, 369) 117217.533308 copy",7,silver,2,Sat Apr 02 2016 13:24:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19895,/competitions/santander-customer-satisfaction,1141st
/allexius,External Data Request: May 2015 Reddit Comments,"Dear competition admins, can we use the Kaggle-hosted dataset ""May 2015 Reddit Comments""? It's available at: [Link]:https://www.kaggle.com/reddit/reddit-comments-may-2015 Thanks, Alex",0,None,1,Sat Apr 02 2016 13:30:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19896,/competitions/home-depot-product-search-relevance,1st
/nmp4817,About Relevance in training Data,"Hi! In the training data, 2nd row search query is ""l bracket"" which has relevance 2.5 with product 100001. In attribute.csv, description.csv or in product tile there isn't any word ""bracket"" or any other description about ""l bracket"". so my question is how the relavance is high? Thank You.",0,None,1,Sat Apr 02 2016 19:02:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19899,/competitions/home-depot-product-search-relevance,753rd
/omovchan,Constructing  latent semantic space (LSA),"I am trying to calculate a latent semantic space using LSA in R. However, I am getting rather huge document-term matrix (DTM). For example, when using product_title only, I get ~140,000 documents (unique product titles) and ~20,000 terms (unique words in all titles). Thus, the DTM will have dimensions [20,000 x 140,000]. It's clearly a sparse matrix, which can be handled easily thereafter. But creating the initial DTM takes ages. I am even scared to add more variables such as product_descriptions. Is there any way to reduce the dimensionality or treat some sparse cells ""on-the-fly"" during the process of creating TDM?",0,None,3,Sun Apr 03 2016 04:24:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19902,/competitions/home-depot-product-search-relevance,924th
/mbhiggins,Dashboard for Data,"I created a dashboard for some quick analysis. Feel free to use it for your investigation. [Link]:https://public.tableau.com/views/ShelteredAnimalOutcomes/Dashboard1?:embed=y&:display_count=yes&:showTabs=y Notes: I made some custom fields that I was working with, but they shouldn't distract from the data too much.",1,bronze,2,Sun Apr 03 2016 04:28:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19903,/competitions/shelter-animal-outcomes,641st
/aghandour,Using External Data,Are we limited to the provided data in this competition to use as features? or can we use other Yelp data set for businesses and users to combine features?,0,None,3,Sun Apr 03 2016 09:06:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19905,/competitions/yelp-restaurant-photo-classification,None
/artemkoval,Recomender System algorithm for applied problem,"Hi! I want to build recommender system for following setup: I’ve got users U Each user U(i) has set of features Fu. Your most common ones – gender, age, country, interests etc. I’ve got collection of media posts M. Each media post has set of features Fm. Again common ones – categories, system-wide popularity etc. User interacts with system via home feed. Home feed is constantly rebuilding trying to match user interest based on his latest interactions as well as interactions of other users. Like in Pinterest. For the time being I’ve got only one possible interaction – whether user used media post. It means there is no usual like/dislike separations. So after some time (it may be just one interaction) I’ve got collection of media posts interacted by user MU. What I want to get in the end is vector of ordered pairs where Rm is rank (how likely for user is to interact with this media post) and Mi is ID of some media post. So output is this ordered vector. Input is user vector – his features and interacted posts’ features. I tried to use libfm but was stopped because it proposes to enter vector Y of answers to solve either classification or regression task. But in my scenario I don’t have classes or scores to be Y. It’s just vector of items for given user. And also I spend some time thinking about SVD but I’m not sure how to build matrix for it and some sources proposed that Factorization Machines (libfm, see above) are better at handling large number of features. I’m looking for already implemented algorithm in any available system or library. If you not sure about implemented version just simple pointers to algorithms are good too. I’m expecting to have millions of items and hundreds thousands of users so matrix will be really high dimensional. I’m gladly accepting any information. Thanks, Artem.",1,None,3,Sun Apr 03 2016 17:44:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19910,None,None
/beedata,Random Forest error ,"trainrf$TARGET <- gsub(""TARGET"", """", trainrf$TARGET) %>% as.integer() %>% as.factor() ctrlrf<-trainControl(method=""cv"", classProbs = T, summaryFunction=twoClassSummary) rfDownsampled<-train(TARGET~.,data=trainrf, method=""rf"", ntree=1500, tuneLength=5, metric=""ROC"", trControl=ctrlrf, strata=trainrf$TARGET, sampsize=rep(nmin,2)) I trained rf model, but it always has error like below. I tried many times. I don't know what's going wrong because I have transferred my class into factor. Could anyone help me? Thank you. In addition, rf seems very very slow… At least one of the class levels is not a valid R variable name; This will cause errors when class probabilities are generated because the variables names will be converted to X0, X1 . Please use factor levels that can be used as valid R variable names (see ?make.names for help).",0,None,5,Sun Apr 03 2016 18:12:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19911,/competitions/santander-customer-satisfaction,None
/tradedbe,Which algorithm to use for the recommender system?,"The task: the user downloads from the website photos. The user has next properties (eg, gender, country, etc.).Each picture also has certain properties (for example, number of views, downloads, etc.). What kind of photos he recommend for new user? We have : The matrix of the following form: Useri {useri properties vector} {vector downloaded useri photos {for each downloaded photo vector its properties}} We need to do: for each user described by the corresponding vector matrix to obtain a vector-rating recommendations, where the highest values ​​will be the most suitable pictures. At the moment, it has been tried in various existing Internet solutions, including librec library (in it also includes all known Slope One). But! They do not allow to use the user's properties and photographs, that is, the input data comes exclusively like matrix User / Item. Also, there was an attempt to apply an algorithm Factorization Matrix using LibFM library, but in fact it turned out that it is not for the recommendation of purposes, and as a classification / regression as input format (as in libsvm library) has the form: label (class ) {idi}: {vali} {idi1}: {vali1} … Question: Is it possible ( if yes, so, how) to use libFM for recommender systems problems? What are the solutions use to the input data not only user / item matrix but the properties of users and objects more?",0,None,1,Sun Apr 03 2016 19:26:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19912,None,None
/selfishgene,Advanced Feature Exploration,"I'm not sure whether ""Advanced"" is the correct word to use, but it's at least slightly more complex than the ""Basic Feature Exploration"" script. I tried being clear and write many comments that explain the main steps. if anything is unclear, I would be happy to clarify.",6,silver,21,Sun Apr 03 2016 22:13:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19914,None,None
/mudit1,Competition info,"Who can join: We are receiving questions whether the participants in this competition must be members of the Singapore Actuarial Society. The competition is open to anyone with the invitation link, and we encourage people from diverse backgrounds to join to encourage wider and creative submissions to the competition.",0,None,1,Mon Apr 04 2016 03:08:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19916,/competitions/sas-analytics-challenge,54th
/sayantan,How to Tune XGBOOST using R?,"Hi, Disclaimer: I am a new comer to both Data Science and Kaggle and trying to learn from the forum and by participating in the competitions. Hence my questions at times can sound naive. Please excuse. Probably this is not the first topic on this subject, but I am struggling a lot with tuning XGBOOST. I use R. I tried Caret and MLR, they are good but I have issues. With Caret I often run into memory issues with big data sets (I use a relatively low end machine 8GB RAM, i3, hopelessly slow). MLR is good with grid search and I am still learning this package. Normally I manually tune, first trying to fix Max Depth, then min_child_weight, then subsample and colsample_bytree. I usually do not mess around with the regularization parameters. I use the output of xgb.cv to validate the results. I would typically set ets gto 0.01 for these process. for the actual model I would reduce eta further to 0.005 once I have finalized all params except nrounds (I optimize this using xgb.cv as the last step). One round of CV would last for around 6-7 hours so this is a painful and a very long task for me running literally over weeks, and often I will run out of patience. Am I doing this right? If the process is ok, then I am happy, for now I dont have the option of circumventing the HW issue and have to live with it. Do anyone of you have any suggestions / pointers to improve the method and the timing for the tuning process. in R is there any Hyperopt / Bayesian etc optimization packages like you have for Python? Its a longish post, thanks for reading through it. Thanks and regards Sayantan Raha",0,None,4,Mon Apr 04 2016 06:58:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19922,/competitions/bnp-paribas-cardif-claims-management,1025th
/sorokinv,Were there any changes in the calculation of AUC on LB since 26.03.2016?,Two absolutely identical files with different names produce different results. One SF-20160326-004611.csv when checking 03/26/2016 gave results LB-AUC = 0.840732. Second file: SF-20160404-170405.csv gives the result LB-AUC = 0.840037 04/04/2016. Files are absolutely identical. What could be the problem? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113691/4029/SF-20160404-170405.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113691/4030/SF-20160326-004611.csv,0,None,5,Mon Apr 04 2016 09:32:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19923,/competitions/santander-customer-satisfaction,981st
/arpangupta87,Theano import error: No module named cPickle,"Hi all,why this error is there while importing theano …also this occurs in from nolearn.lasagne import NeuralNet…. I do have more than 2 python version installed into my Windows 7 machine…. I dont have gpu installed into machine ….the following message occures ..I want to understand the following message ….. g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string. WARNING:theano.configdefaults:g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string. C:\Users\Arpan\Anaconda3\lib\site-packages\theano\tensor\signal\downsample.py:6: UserWarning: downsample module has been moved to the theano.tensor.signal.pool module.",0,None,3,Mon Apr 04 2016 13:54:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19924,/competitions/digit-recognizer,None
/wangruobing888,Calculation ability of PC,"For those who use a lot of generated features (e.g. 7000 features) , what kind of computer are you using? I had a try on similar scale but end up with memory error. Thanks for your help!",0,None,3,Mon Apr 04 2016 16:51:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19928,/competitions/bnp-paribas-cardif-claims-management,639th
/ikleiman,New Competitions,"Just curious, why haven't been any new competitions in a while? Most competitions are about to end Did something happened? Is Kaggle changing it's model?",0,None,1,Mon Apr 04 2016 16:52:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19929,None,None
/sakvaua,Simple NA visualization python script,"Probably a bit late, but here is my attempt to visualize this dataset numerous NA. I sorted columns by the number of NA per columns and to sort rows I created a synthetic 130 bit long int variable which has 1 where the column has NA in it, then sorted by it. There's some structure apparent in the dataset as som rows have NAs in most of their columns, while others are relatively clean. This could have been used for feature engineering, but I'm not yet sure how. Let me know what you think.",1,bronze,2,Mon Apr 04 2016 18:09:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19930,None,None
/arieltci,Reverse engineering a feature,"Hi, Is there a theoretical way to quantify or evaluate the information(entropy sense) of discovering the ""true"" meaning of a feature? Why should it matter from statistical point of view that a certain variables describes age and not something else for example? Why should it increase the predictive power of the model?",0,None,1,Mon Apr 04 2016 20:10:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19931,/competitions/santander-customer-satisfaction,2795th
/mylesoneill,average research,This is a really cool script! It would be great to see other categories visualized this way too!,0,None,2,Mon Apr 04 2016 20:11:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19932,None,None
/beachfunk813,Thanks Contest Organizers!,This was a lot of fun…just wish I didn't have to wait 12 months for a rematch :),6,silver,16,Mon Apr 04 2016 21:30:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19933,/competitions/march-machine-learning-mania-2016,477th
/alexandrudaia,Likelihood estimate  anyone?,"Hi guys, I tryied some things in the last period and it seems they all failed. Hoewer I did not tryied th neural net encoding of categorical features with dense vectors cause I dont realy think there are neural nets. One thing I have in mind was to use symbolic transformer from gplearn but failed today , result from regression but I am to lazy , and also some thing regarding likelihood replacement of categorical features, I made my R implementation this days but as you could imagine it also failed. Please see here : [Link]:https://www.kaggle.com/c/springleaf-marketing-response/forums/t/17081/solution-sharing/96793 here: [Link]:https://medium.com/@chris_bour/what-i-learned-from-the-kaggle-criteo-data-science-odyssey-b7d1ba980e6#.vs6fkkbzh and share if you have some succes!",0,None,1,Mon Apr 04 2016 22:04:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19934,/competitions/bnp-paribas-cardif-claims-management,195th
/abhishek,Kaggle Masters at SF,We are not working on Kaggle challenges at the moment (or are we?) :P [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113774/4036/20160404_160531.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113774/4037/20160404_160345.jpg,26,gold,8,Tue Apr 05 2016 01:08:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19936,None,None
/rnmoran2,Where's all the intake data?,Last summer I used data from Louisville Kentucky's animal shelter to try to find kennel euthanasia risk factors. While Austin's data is much cleaner than the data I pulled from Louisville I noticed it's missing all the intake variables. I checked and found Austin does have the intake data. I've attached the 2015 file I found here: [Link]:https://data.austintexas.gov/browse?Additional-Information_Department=Animal+Services&limitTo=datasets&utf8=%E2%9C%93&q=2015&sortBy=relevance I feel we could build much better models if the intake data was available. Any chance we might get the intake data as well? Or at least the following variables: Intake Type Intake Condition Intake Date Sex Upon Intake [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113780/4038/Austin_Animal_Center_FY15_Intakes__Updated_Hourly.csv,1,bronze,5,Tue Apr 05 2016 02:11:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19937,/competitions/shelter-animal-outcomes,None
/kazanova,Random Forest Benchmark (Starter Code) - 0.831,Starter code with Random Forest that: Loads the data in to numpy arrays performs 5-fold stratified cross validation Using RandomForestClassifier from Sklearn Saves prediction into the specified format required by kaggle Happy modelling and I hope you enjoy kaggle as much as I do :) ! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113781/4039/Benchmark.py,0,None,1,Tue Apr 05 2016 02:27:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19938,/competitions/e-e-381v-midterm,82nd
/peterthiem,Product_uid as feature,"To ask a noob type question… Can anyone help me? When I include product_uid, i get a better score with my local cv and on the leaderboard (by a little bit). My local cv vs leaderboard is closer without the product_uid. I don't think I should be including the product_uid, as many product_uids are not shared between the train and test data. Should I include product_uid as a feature? Why does including the product_uid it help? Is there a better way to remove it but keep whatever it is that is helping? P.s. using xgboost for the above observations.",0,None,4,Tue Apr 05 2016 02:29:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19939,/competitions/home-depot-product-search-relevance,5th
/jscheibel,t-sne neatness,"I made this working on some stuff and thought it was neat enough to share. [Link]:http://dimredglow.com/image.axd?picture=/datamining/BNP.bmp you can see the animation of it growing below [Link]:http://dimredglow.com/images/bnp.gif (the file is pretty big 14+ meg and its coming from a pretty slow network connection so you might have to wait a while to download/view … also firefox seems to have a problem with it, IE and chrome seemed ok)",18,gold,13,Tue Apr 05 2016 02:49:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19940,/competitions/bnp-paribas-cardif-claims-management,1760th
/jscheibel,t-sne neatness,"I made this working on some stuff and thought it was neat enough to share. [Link]:http://dimredglow.com/image.axd?picture=/datamining/Santander.bmp you can see the animation of it growing below [Link]:http://dimredglow.com/images/Santander.gif (the file is pretty big 27+ meg and its coming from a pretty slow network connection so you might have to wait a while to download/view also firefox seems to have a problem with it, IE and chrome seemed ok)",3,bronze,6,Tue Apr 05 2016 02:52:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19941,/competitions/santander-customer-satisfaction,2852nd
/cjauvin,"Numerical, ordinal or categorical?","Here are 20 variables having between 3 and 9 unique possible values: feature values 0 num_var13_corto [0, 3, 6] 1 num_var13_corto_0 [0, 3, 6] 2 num_meses_var12_ult3 [0, 1, 2, 3] 3 num_meses_var13_corto_ult3 [0, 1, 2, 3] 4 num_meses_var39_vig_ult3 [0, 1, 2, 3] 5 num_meses_var5_ult3 [0, 1, 2, 3] 6 num_var24_0 [0, 3, 6, 9] 7 num_var12 [0, 3, 6, 15] 8 var36 [0, 1, 2, 3, 99] 9 num_var5 [0, 3, 6, 9, 15] 10 num_var5_0 [0, 3, 6, 9, 15] 11 num_var12_0 [0, 3, 6, 9, 15, 111] 12 num_var13 [0, 3, 6, 9, 12, 15, 18] 13 num_var13_0 [0, 3, 6, 9, 12, 15, 18] 14 num_var42 [0, 3, 6, 9, 12, 15, 18] 15 num_var4 [0, 1, 2, 3, 4, 5, 6, 7] 16 num_var42_0 [0, 3, 6, 9, 12, 15, 18, 114] 17 num_var30 [0, 3, 6, 9, 12, 15, 18, 21, 33] 18 num_var39_0 [0, 3, 6, 9, 12, 15, 18, 21, 33] 19 num_var41_0 [0, 3, 6, 9, 12, 15, 18, 21, 33] copy I am wondering if these patterns suggest that it would make more sense to consider these particular features to be either numerical, ordinal or categorical? I would assume at least that the strange outlier values (e.g. 99 for ""var36"" or 111 for ""num_var12_0"") would be problematic if kept strictly numerical (at least for a linear classifier maybe). Also, if we consider them to be either ordinal or categorical, what implications would it have for tree-based classifiers like RFs or XGBoost (which both don't directly support categorical variables I think)? Would it be preferable to one-hot encode them? Would it make a difference? I have tried to answer some of these questions experimentally, but it's rather hard to obtain clear conclusions, and I'd be interested to hear different opinions.",12,gold,7,Tue Apr 05 2016 03:28:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19942,/competitions/santander-customer-satisfaction,2810th
/luckyguesser,Amazing Finish,"Wow, that was a great game. I checked the leaderboard right after the game and for a brief second I was listed as 5th place! I got excited for about 30 seconds until the page refreshed and I was 8th. sad trombone Oh well. Now that I know I have a chance, I'm really looking forward to next year. Don't change anything about the competition :)",4,bronze,3,Tue Apr 05 2016 05:42:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19943,/competitions/march-machine-learning-mania-2016,7th
/boris0,Log-loss and point-spread scoring,"Thank you everyone for another great year of Kaggle's March machine learning mania: the contest organizers, the regulars (oneshiningMGF, Net Prophet, Bluefool, and more!), the newbies (especially the high school class -- questions of eligibility aside, I think entering this contest is a great project for a statistics class), and of course the actual players. As Jeff Sonas mentioned in another thread, every year we have countless discussions about the best scoring method for this contest. People have different objections to the current scoring system (or arguments in favor of it), and also different objectives for a better scoring system, so perhaps these arguments will never cease. I've followed the discussions passively for a while, but now I have an idea that I don't think I've seen before. (Let me know if I missed it! I'm sorry if I have …) How about we combine log-loss and point-spread scoring? Specifically, for every possible matchup (so 68 choose 2 pairs of teams), you have to predict the probability of every possible point-spread. So, for example, for this year's final of North Carolina versus Villanova, you might have a line in the CSV file starting 2016_1314_1437 followed by 100 numbers representing the probabilities that North Carolina loses by 50 points (or more), loses by 49 points, …, loses by 1 point, wins by 1 point, wins by 2 points, …, wins by 50 points (or more). As with other contests with ""multi-class"" predictions, the probabilities don't necessarily have to add to 1; the Kaggle scoring program re-scales them as necessary. Your score is the log-loss of the actual point-spreads of the games that happened. I believe this does a very good job of addressing Net Prophet's complaint that you currently can't make a confident prediction that a game will be close. You can do that very easily in this system. I further believe that this will open up the floor to some more sophisticated modeling and decisions than before. For example, should you use a normal distribution or a fatter distribution to avoid paying a big penalty for big upsets? It'll also be harder to ""just"" use Vegas odds and spreads for the first games; there are still some modeling choices to be made. Also, it seems to generalize both log-loss and squared-error point-spread scoring: from the information in this submission, one can directly compute the submission with the best (expected) score in the other two methods. For the current log-loss method, you just add up the probability that one team wins. For squared error on point-spread, you essentially take the expected value of the distribution. One reasonable argument against this scoring suggestion is that it's fairly sophisticated. However, I believe that we now have many participants that are well-versed with the difficulties and pitfalls of log-loss scoring and there will be plenty of people up for the challenge of this new scoring method. Let me know what y'all think! (And sorry again if I missed an earlier suggestion to this effect.)",6,silver,4,Tue Apr 05 2016 06:03:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19944,/competitions/march-machine-learning-mania-2016,3rd
/sionek,Who believe in standard deviation?,"Looking at LB, one can see that several hours after an open script results reached top 100, many Kagglers ""improve"" their results. Probably they blend the results of the open script with their own results. So, let us say that they believe in ""mean"". My question is: Is there anybody who believes in standard deviation? What do I mean? Many of us who check our model using CV can obtain mean local AUC ~0.842 and standard deviation ~0.006. The standard deviation is high, so maybe we should not blend our results with the results good for 50% of test set (and probably poor for another more important 50%), but contrary - we should choose from the set of our results those which are less correlated with open script results? That way we ""prevent"" high standard deviation characteristic for our model and the dataset.",3,bronze,16,Tue Apr 05 2016 11:11:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19946,/competitions/santander-customer-satisfaction,1691st
/mohamedali,Analyzing Panama papers: Can we set up a competition for that?  ,"I think most people are aware of the big data leakage now famous in the media with the label ""Panama Papers"". You can learn more about it here: [Link]:https://panamapapers.icij.org/ This leakage exposes the humongous scale of corruption worldwide. It's surely a goldmine for data scientist to explore, so I am calling for a ""knowledge competition"" to analyze part of this data. Data scientist as social actors can squeeze more knowledge out of it and help the public understand its scale. What do you think? [Link]:https://linkurio.us/panama-papers-how-linkurious-enables-icij-to-investigate-the-massive-mossack-fonseca-leaks/ is a blog article on how the data was turned from its raw format to an explorable format.",3,bronze,7,Tue Apr 05 2016 12:00:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19947,None,None
/wcukierski,Cheating teams removal,"We have started the process of removing suspected cheaters from the leaderboard. If your team was removed from the leaderboard and you believe it was in error, you may email [Link]:mailto:compliance@kaggle.com to plead your case. In the email, you should include: Your legal name Your team name The competition name Your explanation for your statistically improbable similarities to other teams As always, thanks to those who compete fairly.",2,bronze,13,Tue Apr 05 2016 17:57:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19948,/competitions/march-machine-learning-mania-2016,None
/kieranmace,Summarize your method,"I'd love to find out how top ranking submissions were generated. Is anyone willing to share their approach? especially [Link]:https://www.kaggle.com/Mallorqui! Anything from a simple description, to source code would be great!",3,bronze,8,Tue Apr 05 2016 18:51:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19949,/competitions/march-machine-learning-mania-2016,20th
/abhishek,external data?,"Hi, Is external data like pretrained nets allowed? ;)",6,silver,7,Tue Apr 05 2016 20:07:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19950,/competitions/state-farm-distracted-driver-detection,973rd
/danholman,Welcome!,"Welcome to the State Farm Distracted Driver Detection competition. We are excited to partner with Kaggle to help solve this issue. We will be monitoring this forum and answer any questions you may have. Thank you for participating in our competition, and we look forward to your innovative solutions to help solve this challenging problem! Dan Holman - State Farm",12,silver,11,Tue Apr 05 2016 20:37:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19951,/competitions/state-farm-distracted-driver-detection,None
/mgopipun,Character Recognition,,1,None,2,Tue Apr 05 2016 22:38:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19953,None,None
/jeradrose,The path to being top in 2015,"Nice work, Evan! Quick question on your last graph: the title has Detroit at #1 in 2015, but it looks like the graph has them at #5? Also, is this rank by division, or overall?",1,bronze,1,Tue Apr 05 2016 22:42:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19954,None,None
/urlnotfound404, What is scaling?(profoundly) ,"A student asked: What is scaling?(profoundly) If we remove the scaling, AUC increases in the starter code. What is the purpose of scaling? I know what it does. But is it helpful?",0,None,1,Wed Apr 06 2016 00:34:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19956,/competitions/e-e-381v-midterm,None
/inversion,My Standard Work for every new competition,"In case anyone is interested, here is the standard checklist I go through for every new kaggle competition. It speeds up the process and allows me to get working on the actual problem more quickly. This is the exact order I do things. I use every new contest to update any general python environments (all Anaconda) I have on the 5 computers I may actually do coding on. (Even though this is not strictly necessary since I set up project environments, it's a trigger to keep things up to date.) Add the competition end date to my electronic and wall calendars. Update the kaggle evaluation metric wiki to reference back to the contest page. Identify any related contests Subscribe to the Forum Create a github repo, a standard folder structure, and a wiki so that I have a single place for model notes and to capture forum posts of interest. (I have a sub checklist for the steps, e.g., what I add to the .gitignore, etc.) Download the data Create virtual environments (conda) for my 3 linux machines with a standard set of libraries. Again, this is a separate sub checklist, and includes updating xgboost, theano, etc. Once I start a project, I do not update libraries unless absolutely necessary. Explore the data, which includes basic outlier analysis. Force myself to write error analysis code before I start building a model. (This is hard to stay true to, but worth the effort.) Start feature transformation, and finally model building I'd love to hear any comments or suggestions! Thx.",150,gold,28,Wed Apr 06 2016 02:36:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19959,None,None
/inversion,xpost: Standard Checklist for new contests,"Posting here, in case anyone finds it useful: [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/19959/my-standard-work-for-every-new-competition Please add comments and suggestions!",11,gold,1,Wed Apr 06 2016 02:37:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19960,/competitions/state-farm-distracted-driver-detection,1124th
/vzocca,Question on how final ranking works,"I understand that our submission is ranked on the test data that kaggle keeps and that we do not know. We run our algorithm on it, submit the csv file, and then we get a ranking. However, I also understand that final ranking may be different because we are ranked on different data. But, how does kaggle know how to rank us if we have not submitted our algorithm? How can our algorithm be tested on this new data?",0,None,4,Wed Apr 06 2016 08:05:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19963,/competitions/santander-customer-satisfaction,617th
/scirpus,Ordinal XGB (LB .46190),For all you low memory people I converted categorical to ordinal parameters - with num_rounds at 1000 this score .46190. There is plenty of scope for improvement in terms of adding your favourite features I used just 29,1,bronze,3,Wed Apr 06 2016 09:46:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19964,None,None
/slobo777,Manual labelling of training data?,"Following on from clarification external data rules (i.e. no external data or pre-trained nets etc allowed). To aid with training, are we allowed to annotate the training images by hand, or must all processing be automated and provided as part of the training model? E.g. is it ok to add segmentation data for hands/face to training images (and not to test images)? I cannot see any competition rule that explicitly states this is not allowed, and it is not technically external data, nor is it manual labelling of test images, it is derived from the training data. However, this clearly goes beyond usual data analysis. I am not at this stage planning to do any manual labelling (seems far too much work!), but I can imagine a few pipeline designs where it would be useful. So it is worth clarifying before someone puts the effort in.",4,bronze,26,Wed Apr 06 2016 09:51:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19965,/competitions/state-farm-distracted-driver-detection,537th
/mightybird,Possible mistake using xgboost?,"Hi, I have set up an xgboost script. And when running CV i get test mlogloss about 0.77. When using the same parameters to predict I get a leaderboard score of 3.2 - which is a bit off I think. My first idea was that maybe I treated train and test differently. I looked over that twice so I ask you if something with my xgboost and submit part is wrong. Thanks Gerhard library (xgboost) cv.nround = 1000 cv.depth = 12 cv.eta = 0.08 cv.nfold = 5 cv.esr = 25 cv.param <- list(""objective"" = ""multi:softprob"", ""nthread"" = 8, ""eta"" = cv.eta, ""max.depth"" = cv.depth, ""subsample"" = 0.8, ""colsample_bytree"" = 0.8) cv = xgb.cv(param=cv.param, data = trainMatrix, label = trainY, maximize = FALSE, nfold = cv.nfold, nrounds = cv.nround, verbose = TRUE, early.stop.round = cv.esr, eval_metric = ""mlogloss"", num_class = 5) # predict bst = xgboost(param = cv.param, data = trainMatrix, label = trainY, nrounds = 170, maximize = FALSE, eval_metric = ""mlogloss"", num_class = 5) r = round ( predict(bst, testMatrix), 4) m = as.data.frame( matrix(r, nrow = 11456, ncol = 5) ) colnames(m) = c(""Adoption"",""Died"",""Euthanasia"",""Return_to_owner"",""Transfer"") submission = cbind(ID=testIDs, m) write.csv(submission, file=""submission2.csv"", row.names=FALSE, quote=FALSE) copy",1,bronze,4,Wed Apr 06 2016 11:20:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19968,/competitions/shelter-animal-outcomes,213th
/msjgriffiths,Comparing Breed Names by String Distance,"Very nice! I was just wondering if this was feasible, and now you've answered the question :) I was also wondering about perhaps using n-grams - something like: library(text2vec) library(proxy) breeds <- unique(train$Breed) it <- itoken(breeds, preprocess_function = tolower, tokenizer = word_tokenizer, chunks_number = 10, progessbar = F) vocab <- create_vocabulary(it, ngram = c(1L, 2L)) it <- itoken(breeds, preprocess_function = tolower, tokenizer = word_tokenizer, chunks_number = 10, progessbar = F) corpus <- create_corpus(it, vocab_vectorizer(vocab)) dtm <- corpus %>% get_dtm(""dgCMatrix"") similarity_matrix <- dist(as.matrix(dtm), ""cosine"") copy Edit: I couldn't figure out how to render this in Kaggle scripts (no support for rbokeh), but T-SNE does a pretty good job with the plot: [Link]:http://becausedata.com/tmp/kaggle/shelter-animal/n-grams.html It also has a much better formatted version of the above.",2,bronze,1,Wed Apr 06 2016 12:31:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19970,None,None
/zfturbo,Simple solution (Keras),Here is simple solution using CNN to start from: Ver. 1: [Link]:https://github.com/ZFTurbo/KAGGLE_DISTRACTED_DRIVER/blob/master/run_keras_simple.py Ver. 2 (UPD 07.04): [Link]:https://github.com/ZFTurbo/KAGGLE_DISTRACTED_DRIVER/blob/master/run_keras_cv.py Ver. 3 (UPD 09.04): [Link]:https://github.com/ZFTurbo/KAGGLE_DISTRACTED_DRIVER/blob/master/run_keras_cv_drivers.py Ver. 4 (UPD 03.05): [Link]:https://github.com/ZFTurbo/KAGGLE_DISTRACTED_DRIVER/blob/master/run_keras_cv_drivers_v2.py Ver. 5 (UPD 29.07): [Link]:https://github.com/ZFTurbo/KAGGLE_DISTRACTED_DRIVER/blob/master/kaggle_distracted_drivers_vgg16.py - pretrained VGG16 Net.,46,gold,64,Wed Apr 06 2016 12:53:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19971,/competitions/state-farm-distracted-driver-detection,17th
/tyronecragg,Finding feature interactions using Vowpal Wabbit?,"Hi all, I’m currently attempting to find new variable interactions to add to my xgboost model. I've prepared my data and run vw-varinfo in Vowpal Wabbit using L1 regularization to find quadratic variable combinations as follows: vw-varinfo -q AA -c -k --passes 50 --l1 0.00000001 train.txt > interactions.txt I’ve then extracted the combinations from interactions.txt with Rel Score not equal to 0, and added those interactions to my xgboost model. These additional features don’t improve the score, and if anything, only seem to make it worse. Am I doing something wrong? Is it a sound practice to run VW as above in an attempt to find additional features for an xgboost model? Is there a better way to go about rapidly finding or dealing with feature interactions? Thanks in advance for any advice!",4,bronze,3,Wed Apr 06 2016 14:13:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19973,/competitions/bnp-paribas-cardif-claims-management,126th
/cfernr,Why gradient descent is not converging? [Python code],No help?,-1,None,1,Wed Apr 06 2016 14:41:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19974,/competitions/santander-customer-satisfaction,575th
/csdandvate,What to start learning ?,I am a beginner in the field of data science and i was having a little trouble deciding which language should i learn for designing software on machine learning (Python or R). Till now i was using Matlab and octave to design software but they have very limited usability. Please suggest something…,0,None,6,Wed Apr 06 2016 15:09:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19975,None,None
/nageshk,I always thought points only increase!,Here is an excerpt from kaggle [Link]:https://www.kaggle.com/wiki/UserRankingAndTierSystem wiki page. Between competition deadlines points do not decay and ranks will not change. Have a look at the attached images. today.PNG : Sourced from kaggle rank 1 [Link]:https://www.kaggle.com/titericz# profile previous.PNG: Sourced from his [Link]:https://www.linkedin.com/pulse/profiling-top-kagglers-gilberto-titericz-gilberto-titericz-jr?articleId=6073225372940460032#comments-6073225372940460032&trk=prof-post Can anyone please explain? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113968/4043/today.PNG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113968/4044/previous.PNG,0,None,5,Wed Apr 06 2016 16:34:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19976,None,None
/del=0344ac6154f2b9d5,What are the rows?,"I want to test my method (for research purpose, not commercial) with this data so I need a clear description about the data in my report. The columns are clear, but what are the rows? Can I say ""the rows are from different time windows of the same stock""? Thank you.",0,None,2,Wed Apr 06 2016 17:58:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19977,/competitions/the-winton-stock-market-challenge,None
/jobrown,Help with Keras,"Hello Kagglers, I am trying keras (0.3.2) for the first time. For a first attempt, I would like to train a single hidden layer MLP. The part where the model is defined goes like this: train_X, test_X, train_y, test_y = train_test_split(train, target, train_size=0.7, random_state=0) model = Sequential() model.add(Dense(input_dim=train.shape[1], output_dim=400, init='uniform', activation='tanh')) model.add(Dense(input_dim=400, output_dim=1, init='uniform', activation='sigmoid')) model.compile(loss='mse', optimizer='sgd', class_mode='binary') model.fit(train_X, train_y, nb_epoch=30, batch_size=50, show_accuracy=True) copy Tbis is the output I get: Using Theano backend. /Users/jbrown/anaconda/lib/python2.7/site-packages/theano/tensor/signal/downsample.py:5: UserWarning: downsample module has been moved to the pool module. warnings.warn(""downsample module has been moved to the pool module."") Loading train data... DONE! Loading test data... DONE! Epoch 1/30 53214/53214 [==============================] - 5s - loss: 0.0401 - acc: 0.9585 Epoch 2/30 53214/53214 [==============================] - 5s - loss: 0.0383 - acc: 0.9603 Epoch 3/30 53214/53214 [==============================] - 5s - loss: 0.0381 - acc: 0.9604 Epoch 4/30 53214/53214 [==============================] - 5s - loss: 0.0380 - acc: 0.9604 Epoch 5/30 53214/53214 [==============================] - 5s - loss: 0.0379 - acc: 0.9604 Epoch 6/30 53214/53214 [==============================] - 5s - loss: 0.0379 - acc: 0.9604 Epoch 7/30 53214/53214 [==============================] - 5s - loss: 0.0379 - acc: 0.9606 Epoch 8/30 53214/53214 [==============================] - 5s - loss: 0.0379 - acc: 0.9606 Epoch 9/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 10/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 11/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 12/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 13/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 14/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 15/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 16/30 53214/53214 [==============================] - 6s - loss: 0.0378 - acc: 0.9606 Epoch 17/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 18/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 19/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 20/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 21/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 22/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 23/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 24/30 53214/53214 [==============================] - 5s - loss: 0.0378 - acc: 0.9606 Epoch 25/30 53214/53214 [==============================] - 5s - loss: 0.0377 - acc: 0.9606 Epoch 26/30 53214/53214 [==============================] - 4s - loss: 0.0378 - acc: 0.9606 Epoch 27/30 53214/53214 [==============================] - 4s - loss: 0.0378 - acc: 0.9606 Epoch 28/30 53214/53214 [==============================] - 4s - loss: 0.0377 - acc: 0.9606 Epoch 29/30 53214/53214 [==============================] - 4s - loss: 0.0377 - acc: 0.9606 Epoch 30/30 53214/53214 [==============================] - 4s - loss: 0.0377 - acc: 0.9606 22806/22806 [==============================] - 0s copy The loss value seems rather low and accuracy quite high at a first sight. However, when evaluating the model on the test sample, the outcome is: 75818/75818 [==============================] - 2s [ 0.04200036 0.04200036 0.04200036 …, 0.04200036 0.04200036 0.04200036] I believe I am doing something wrong since I get the same results for all data points. Could I have some help or guidance? I am not performing feature engineering, hyperparameters tuning yet. My script is attached Any hints are welcome! Thanks Jonathan [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/113984/4045/macrok.py",0,None,14,Wed Apr 06 2016 19:06:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19978,/competitions/santander-customer-satisfaction,1632nd
/debnomics,Problem statement,Can you please post the problem statement here. Can't find it anywhere.,0,None,3,Wed Apr 06 2016 19:25:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19979,/competitions/sas-analytics-challenge,31st
/ahsscott77,Combining models ,"It seems to me that big problem with combining models is that they don't estimate probabilities the same way. In particular AdaBoost only outputs probabilities in the range ~[0.4 - 0.6]. Just averaging the results doesn't work and I don't think a linear rescaling works either. I've also tried the CalibratedClassifierCV package with sigmoid and isotonic methods, with poor results. Any thoughts?",1,bronze,3,Wed Apr 06 2016 19:34:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19980,/competitions/e-e-381v-midterm,40th
/being555,different variable types,"How do we work with different variable types? Do we need to differentiate between different variable types? Should continuous, ordinal and categorical variables be used differently? I think they should be handled differently, for example, for logistic regression model, if we preprocess the data by one-hot-encode the continuous variables, we may end up having a lot more features than if we one-hot-encode the categorical variable. I searched online but most answers said no..",1,bronze,1,Wed Apr 06 2016 20:20:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19981,/competitions/e-e-381v-midterm,52nd
/acs3235,Ordinal Features,"I have some guesses for which features might be ordinal, but I don't have a good intuition for how they should be handled. If you treat them like categorical features, you lose out on the information of ranking. However, treating them like numerical features isn't necessarily valid either, because the difference between rank 2 and rank 1 isn't necessarily 3-2. A quick online search showed that this seems to be an area of ongoing research without clear answers, so I was wondering if anyone has any extra insight?",1,bronze,1,Wed Apr 06 2016 20:20:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19982,/competitions/e-e-381v-midterm,71st
/woshialex,driver ID?,Could we have a data file containing the img_number to driver ID mapping for the train set? it will help us to do reliable local CV by splitting the train data based on drivers as well (as the private LB has different drivers from the train set).,12,gold,7,Wed Apr 06 2016 22:50:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19983,/competitions/state-farm-distracted-driver-detection,126th
/iglovikov,How do you transform v22?,"Hello, How do you transform v22? I tried: One Hot Encoding. Replace each variable by probability of getting it based on target variable. Treating each variable as integer with base 26, where 'A' = 0, 'Z' = 26 It does not help. Any better ideas? Vladimir",5,silver,8,Thu Apr 07 2016 00:13:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19984,/competitions/bnp-paribas-cardif-claims-management,390th
/kazanova,xgboost Benchmark (0.83480),"I wanted to say that I tried to tune some params of an xgboost model based on he initial script and I got to 0.83480, which means that a lot of you are doing a really great job since you are above that :)",0,None,3,Thu Apr 07 2016 01:52:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19986,/competitions/e-e-381v-midterm,82nd
/tonyzhangrt,Features with a large variance in importance in RF,I observed there are several features with a large variance in feature importance when running under random forest and extra tree. What do people usually do in such situation. My guess is that these feature are correlated and random forest selects them quite randomly.,1,bronze,3,Thu Apr 07 2016 04:14:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19987,/competitions/e-e-381v-midterm,10th
/del=6873a088a6507d78,team mergers?,"How does a team do a merger with another? If possible, are any teams interested?",0,None,1,Thu Apr 07 2016 07:16:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19989,/competitions/bnp-paribas-cardif-claims-management,304th
/analystmonkey,Random Forest parameter tuning,"Hi, I am trying to tune a random forest with mtry=(12:25) with 10 fold cv and 500 trees using caret. The code has been running for the last two days. I am not sure if I should continue to wait or abort. Was wondering if anybody tried random forest and made it to 0.84 on the leaderboard.. Thanks m",0,None,6,Thu Apr 07 2016 07:53:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19990,/competitions/santander-customer-satisfaction,826th
/zivcarthy,Number of features:  how to go from 20 to 200 ??,"Hello, This is my first competition, so bare with me if I'm asking the wrong question here. I started with the simple benchmark example at LB 0.51 and gradually worked up the sophistication of my work. Added more features, moved up to better algorithms, learned how to tuned them, learned NLP techniques, and was able to reach LB 0.47886. I read in some posts here that top competitors are using 200 or even 270(!) features in their models. I, in contrast, manged to engineer 18 features so far, and am working now on latent semantic index which may contribute 1 or 2 additional features. This is my features' list so far: [1] ""product_uid"" ""nwords"" ""query_chars"" [4] ""title_length"" ""desc_length"" ""nmatch_title"" [7] ""nmatch_desc"" ""nmatch_brand"" ""query_in_title"" [10] ""query_in_desc"" ""nmatch_title_ratio"" ""nmatch_desc_ratio"" [13] ""nmatch_brand_ratio"" ""JC_title_ratio"" ""JC_desc_ratio"" [16] ""brand_feature"" ""title_cosine_sim"" ""title_ngram_cosine_sim"" I was wondering if anyone could provide a hint or direction or link as to where to search for the missing 180 features … :-) Granted - feature engineering is the key for winning, but it is unlikely to pose a threat if you could share some insight, without the secret sauce… Thank you!",1,bronze,17,Thu Apr 07 2016 14:11:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19993,/competitions/home-depot-product-search-relevance,825th
/lndgrn,Choosing final submission,"How should you choose the final submission? Some of mine do well in cross validation but not as well on the leader board, others do well on the leader board but not as well in cross validation, and some do decent but not great in both.",1,bronze,1,Thu Apr 07 2016 14:59:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19994,/competitions/e-e-381v-midterm,15th
/benhamner,Feature Engineering & RF predict outcome,Nice script! It would be interesting to see partial plots for the impact of the age/sex of the pet on the outcome.,1,bronze,1,Thu Apr 07 2016 15:11:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19995,None,None
/jiweiliu,can we train test set?,Is it allowed to train test set with pseudo labels (not hand labeled) to predict itself again? Thank you very much!,0,None,2,Thu Apr 07 2016 16:47:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19996,/competitions/state-farm-distracted-driver-detection,37th
/arpangupta87,Evidence of non-linear relation (target),Hi very nice plots….please add some little description to this work…,1,bronze,9,Thu Apr 07 2016 16:47:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/19997,None,None
/beedata,The proportion of test sets ,Why the host didn't tell the proportion of the test sets to evaluate? Anyone knows? If it's the 50% of the test sets. Does it mean we currently have the whole test sets but just be evaluated by half of them or we currently just have half of the test sets and will be evaluated by the rest half of unseen test data after the deadline?,-1,None,1,Thu Apr 07 2016 18:42:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20001,/competitions/santander-customer-satisfaction,None
/kokchak,Average Temperature trend of some cities,The script is supposed to print dygraphs of the cities entered. I don't know what happen! Doesn't kaggle page support dygraphs output?,0,None,1,Thu Apr 07 2016 18:50:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20002,None,None
/,,,0,None,3,Thu Apr 07 2016 19:09:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20003,None,None
/ayushrajsingh,significant difference between scores (AUC) on running the same script on kaggle server and local,"I ran this script by [Link]:https://www.kaggle.com/ayushrajsingh/santander-customer-satisfaction/xgb-lalala on kaggle server and got an AUC score .841664. When I downloaded the script and ran it on my local I got a score of .840290 on submission (difference of around 400 rankings on the leaderboard). I checked the error between the 2 submissions it is only 0.23 % Why could this be happening? Why am I not getting the exact same scores on my local? I thought maybe it is happening because of the randomization due to xgboost parallelization, but I am able to reproduce the exact scores on my local. I am not able to figure out why is this difference happening. Can someone please help me understand. If this is really happening because of the randomization, then it is really discouraging. Running a script on some machine is putting a person in top 100 and other person at around 500.",0,None,12,Thu Apr 07 2016 20:32:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20004,/competitions/santander-customer-satisfaction,784th
/annavictoria,Moneyball,"This is really neat! Manager effectiveness isn't discussed often compared to player stats, but it obviously has a huge impact. One helpful addition to the analysis would be a visualization of A's salary over time vs. their wins per season.",4,bronze,9,Thu Apr 07 2016 20:49:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20005,None,None
/filapro,Как использовать генетическую информацию?,,0,None,1,Thu Apr 07 2016 20:55:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20006,/competitions/competition-2-yandex-shad-spring,22nd
/ayushrajsingh,xgb_lalala,"Hi Ilia, How much score did this script give on leaderboard? When I run this script here (kaggle server) and on my local I get two different scores (.841644 and .840290) 400 rankings difference on leaderboard. Why am I getting a different score when I run the exact same script on my local ? Can you please help me understand this difference?",0,None,2,Thu Apr 07 2016 22:43:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20007,None,None
/gpistre,OpenCV face detection: External data?,"OpenCV features some simple and relatively effective tools for face detection. Those use cascading tests, and are somehow ""trained"" beforehand, so is this also considered external data?",4,bronze,4,Sat Apr 09 2016 05:51:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20024,/competitions/state-farm-distracted-driver-detection,39th
/breakfastpirate,If you have not yet made your first submission ...,"If you have not yet made your first submission and do not plan to within the next 27 hours, please use this thread for posting comments such as: Hey! Why can't I make a submission? I've worked 2 months on this, and now all that work is wasted! No fair! No one told me there was a first-submission-deadline 7 days before the end of the competition! It is helpful to keep all these comments together in one place. In fact, you can save time by simply using the number from above. For example, instead of typing out the whole comment ""No fair! No one told me there was a first-submission-deadline 7 days before the end of the contest!"" you can simply put ""#3"".",27,gold,4,Sun Apr 10 2016 22:53:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20052,/competitions/bnp-paribas-cardif-claims-management,147th
/michalthedude,Efficient Feature Selection,"I am struggling with Feature Selection. Basically what I'm doing is looking on a feature importance plot (xgb, rf or gbm) and try to cut out variables with lowest predictability. The thing is if I remove those features Local CV and Kaggle score do not get better. Additionally if I remove features, let say 'randomly' and check the results, CV score gets better. How is it possible? How to select features in efficient way? Iterate through all combination would be computational nightmare! Is there a better, quicker way? Thanks!",0,None,3,Mon Apr 11 2016 13:25:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20061,/competitions/home-depot-product-search-relevance,217th
/jmwerner1123,Please post questions as 'New Topic',Welcome everybody! Please post questions as new topics to help organize help threads and ensure that the administrators are properly notified when new questions are submitted. Thanks and good luck! Allstate University Hackathon Team,0,None,2,Mon Apr 11 2016 23:44:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20074,/competitions/claims-loss-prediction-challenge,None
/kweonwooj,How to handle overly skewed input data,"Exploring features in Santander dataset, I see that lot of input features are highly skewed. For example, column 'var3' has a mode of 2, with mode ratio 97.71% I believe a learning model will not be able to grasp the value of non-mode values in such columns. In other words, it will merely check whether value is equal to mode(==2) or not and non-mode values will have little or almost no effect on the learning model. So, I tried to generate a new feature, say 'var3_mc' which is 1/0 column where its value is 1 if var3 is mode and 0 otherwise. This column has >0 information gain when calculated in R with FSelector library. I would take that as 'simply discriminating whether a value is equal to mode or not in highly skewed input data contributes to the precision more than original column where non-mode values may contain some useful information'. I am wondering how smart Kagglers are handling with this skewed input data. I'd like to learn from you guys. Thanks, Chris",1,bronze,2,Tue Apr 12 2016 07:32:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20079,/competitions/santander-customer-satisfaction,945th
/scirpus,Python XGB (LB 0.841047),Wow look how 3 features dominate - this might explain why you don't see much of an improvement from quite different models!,0,None,58,Tue Apr 12 2016 13:52:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20083,None,None
/scirpus,Ordinal XGB II (LB ~.457),My last low memory script for this competition Time to save up for the coming kaggle hardware war - I need at least 64 Gb of memory rather than the 6Gb I have now ;P,0,None,11,Tue Apr 12 2016 15:22:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20084,None,None
/wrudebusch,duplicate schools - UNITID,"Sup fam, I am wondering what you all did about the duplicate school rows. For example, if you use [Link]:https://www.kaggle.com/wrudebusch/d/kaggle/college-scorecard/duplicate-schools-unitid/run/204929 and print the first 50 rows; you will find that 100663 ""UNIVERSITY OF ALABAMA AT BIRMINGHAM"" has 18 entries. Does any one know if there is a date column? Or how are you treating this data? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/114620/4065/100654.csv",0,None,1,Tue Apr 12 2016 17:20:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20085,None,None
/godaibo,Why is LB clustered around (0.841664)?,Why is the leaderboard clustered around 0.841664? Is there a good ole boys network that I am not a member of?,0,None,4,Tue Apr 12 2016 18:12:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20087,/competitions/santander-customer-satisfaction,2862nd
/sakvaua,Accelerating n-fold CV calculation,Are there any tricks on how to accelerate cross validation calculation of large models. Large models take ages to compute and often all I need is just a quick check if I'm moving in a right direction.,0,None,6,Tue Apr 12 2016 18:54:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20089,/competitions/bnp-paribas-cardif-claims-management,353rd
/zfturbo,Test speed (cv2 vs scipy vs tensorflow),"cv2.imread, cv2.imresize around 5 times faster than scipy.misc.imread, scipy.misc.imresize",2,bronze,7,Tue Apr 12 2016 19:05:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20090,None,None
/dganesh,Unisex names-2,"To get the years, use: plt.plot(find_name[0].index,find_name[0].F,label='Female',color='red') plt.plot(find_name[0].index,find_name[0].M,label='Male',color='blue')",0,None,4,Tue Apr 12 2016 19:11:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20091,None,None
/abeabe,Team?,"I have a good amount of experience with using neural nets for image recognition. I'd like to try to do this in torch. I've been experimenting with md-rnn's and spatial-attention models, and I'd like to explore the possibilities. I have a Titan X GPU.",0,None,3,Tue Apr 12 2016 20:44:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20093,/competitions/state-farm-distracted-driver-detection,None
/aaalgo,0.74081 with Caffe,"Here's my half-baked code to produce a score of 0.74081 with the (almost) vanilla bvlc_googlenet coming with Caffe. [Link]:https://github.com/aaalgo/kaggle-driver The code is probably not going to build and run easily due to various dependencies and lack of documentation. I'm posting this to see if I can attract some interest in developing and testing a training image streamer project called ""picpac"", which can feed augmented training images to caffe (fork), mxnet, neon, theano in a consistent and reproducible way. UPDATE: According to this thread ( [Link]:https://www.kaggle.com/c/state-farm-distracted-driver-detection/forums/t/20025/cv-vs-lb), cross validation should be done by randomly splitting the drivers. Randomly splitting the training images, as is done in my code, leads to substantial under-estimation of testing error.",3,bronze,7,Tue Apr 12 2016 20:49:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20094,/competitions/state-farm-distracted-driver-detection,496th
/psahoo,[Deleted Kernel],How did you tune the parameters to such a big fraction? Could you please share any visualization that helped you in tuning the parameter?,1,None,9,Tue Apr 12 2016 23:49:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20096,None,None
/koladiyavitthal,Need help to start the Competition,"Hi, I am new with this competition. Can anyone help me out to start the competition? Thanks",0,None,1,Wed Apr 13 2016 00:22:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20097,/competitions/state-farm-distracted-driver-detection,None
/wendykan,"Results are final, and call for resume!","Hi all, Thank you for participating in Yelp's restaurant photo classification challenge! We've removed some cheaters on the leaderboard and now the results are final. Yelp and Kaggle are excited to connect with our community. You will all receive an email in the next 2 days with instructions to upload your resume. In a few weeks, Yelp will start reaching out to some of you for interviews. We hope you had enjoyed the competition. See you around on Kaggle!",2,bronze,1,Wed Apr 13 2016 03:45:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20098,/competitions/yelp-restaurant-photo-classification,None
/happycube,"Ordinal XGB II+ (LB .45787, CV + ES)","I fixed the cross validation (the original used the entire train set, this uses the blind set) and changed the watchlist to enable early stopping. Set to 2500 rounds (not 1500) it got .45579 CV and .45787 public LB.",0,None,5,Wed Apr 13 2016 07:54:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20100,None,None
/mellon, 0.834083 in LD through GradientBoosting,"Through gradientboosting from sklearn, i have a 0.834083 result, however there is one question, the predicted value should be 0 or 1 yet, isn't it ? i have two absolutely different ranking through function of predict_proba and predict. the ranking result just need probability of 1 ? Anyone know how to explain it ?",1,None,3,Wed Apr 13 2016 10:48:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20101,/competitions/santander-customer-satisfaction,3284th
/vivekvk,Requesting help,"Friends, I am new in the data science area and currently doing an analytics course as part of my MBA. My group picked up the BNP Paribas dataset and corresponding business problem for the semester project work. We are now struggling with the dataset, primarily because of the anonymity and missing values. In our course we are using SAS-JMP for modelling. Can anyone help us with this dataset on how to exclude/include the variables, how to deal with the missing values etc? I would prefer to talk, but if you are not available for a conference, I can use the forum here. Appreciate any help.",0,None,23,Wed Apr 13 2016 12:32:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20102,/competitions/bnp-paribas-cardif-claims-management,None
/sivam0409,Issues - File Download,"Hi, I have failed 8 times while downloading images. My net speed is ~ 400 kbps. Can you suggest me ways to successfully download files? Regards, Siva",0,None,2,Wed Apr 13 2016 12:56:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20103,/competitions/state-farm-distracted-driver-detection,None
/daimerchrysler17,Regarding Variable Reduction & Feature Engineering.,"Hello Friends, I know I am very late joining this contest but as other like-minded people I too want to take this contest as an opportunity to understand different concepts used in Data Science (particularly Machine Learning). To cut the story short I wanted to understand if the initial analysis which I did is correct OR am completely off the right path. I tried using some variable reduction technique like VARCLUS (SAS) and had shortlisted 115 variables and then I looked at the correlation matrix and IV (via Binning) and further narrowed down to the below mentioned variables, I would really appreciate it if someone can validate my findings and also help me with some feature engineering as the number of variables I have at my disposal is less than 10 and I think feature engineering is the only way I can help train my model in an optimal way. Thank You if you are reading this, looking forward to some response. Regards, SN. var15 saldo_medio_var_ult1 num_var5 num_var4 var38 saldo_medio_v13_crt_ul1 (short form) delta_imp_aport_var13_1y3 ind_var24",0,None,1,Wed Apr 13 2016 15:49:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20105,/competitions/santander-customer-satisfaction,4431st
/mrkelly,Questions about features processing in data,"Hi everyone, I know the competition is over for a long time, I don't know if anyone can see this but I'm really desperate and I need some help. I merged the data by ""id"" and use Xgboost to predict, but when I m-logloss=0.5-0.6 on python, my results on LB is a lot worse. Then I saw some discussion, everybody said they use approximately 450 features or so and I'm very confused about this: I thought Telstra only gave 7 features, like log_feature, volume, resource_type, etc. I'm very new to this and I don't know if I made some simple and ridiculous mistake…so I'm very appreciate if anyone can answer my question. Sincerely, Zou Tong",0,None,2,Wed Apr 13 2016 17:52:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20108,/competitions/telstra-recruiting-network,813th
/datahobbit,Python Docker - Intel MKL Fatal Error - Windows,"I like the idea of the Kaggle Python Docker. Although I had a few problems mounting a Windows host directory initially that is resolved now. Getting rid of old containers that were no longer running seemed to help. I managed to open an IPython session and start executing a script. When I did that, after a few seconds, I got this message: Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so.Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so. copy From what I can gather online it looks like there is a NumPy library that my IPython session cannot locate. Can I do something to configure IPython so that it can find those libraries? Is this something that the image should handle without the need for me to intervene? My knowledge of virtual machines is not that extensive so any help would be gratefully received.",0,None,1,Wed Apr 13 2016 17:53:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20109,None,None
/rodrigozembrzuski,Data imputation,"Does someone tried to impute data to improve the performance? I tried SMOTE ( [Link]:https://github.com/fmfn/UnbalancedDataset), but the performance of my algorithm was terrible. Does somebody have an opinion about data imputation in this challenge? Thanks.",0,None,5,Wed Apr 13 2016 17:55:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20111,/competitions/santander-customer-satisfaction,40th
/ahlmann,Multi-Instance SVM (misvm),"I came across Gary Doran's presumably awesome ""misvm"" ( [Link]:https://github.com/garydoranjr/misvm) which I believe could be very useful in this competition. Unfortunately I ran out of time and couldn't try the same yet for the competition, but would assume that it would give a strong improvement over more simple approaches like averaging the vectors within a bag/business. Did anyone use Multi-Instance SVM, or another Multi-Instance library? The papers associated with the above library suggest that instance-based and hybrid solutions are very slow with a large number of instances. So my plan would be to start evaluating ""SIL"", ""NST"", ""STK"". Depending on the outcome I would then evaluate the performance/feasibility for some of the other algorithms. Note: The algorithms do not implement the classifier base class from sklearn, but they follow a similar convention and from my understanding the ""predict"" method actually returns ""real-valued predictions [-1, 1]"" which I believe we could scale to [0, 1] and interpret as probabilities. If we created a thin abstraction layer to return the above as a new method ""predict_proba"", I wonder if we could leverage the same in other sklearn functionality like OneVsRestClassifier, CrossValidation, etc.",0,None,4,Wed Apr 13 2016 18:33:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20112,/competitions/yelp-restaurant-photo-classification,60th
/ashwinmurthy,Linear Regression on 'hour' (each hour as a feature),"I am trying to use Linear Regression. As bike rentals are not linear w.r.t hour, simple linear regression does not perform very well (score ~1.5). So I broke down each hour as a feature (leading to 24 features, namely from 0th hour to 23rd hour) and a linear regression on these 24 features bumped the score to about ~0.85. At this point, adding any new features seem to only decrease the score. Any thoughts on Is breaking each hour into 24 features (or every 2 hours into 12) a good idea? Why does adding new features not help anymore? How about performing two stage linear regression? One linear regression on hour (after breaking it down to 24 features, since simple linear regression is not suitable for non linear feature) and other on linear feature like temperature, wind etc, and a second stage linear regression on both these regressions? Any other suggestions on improving linear regression? Regards, A novice Kaggle user",1,None,4,Wed Apr 13 2016 18:46:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20113,/competitions/bike-sharing-demand,None
/josephpeng,On multiple-label problem,"The most simple approach for multiple-label problem is to treat them as n independent classes. This method scales linearly. However, it suffers from several problems. Obviously, the independent assumption, at the very least, does not work well under complicated cases. I have not come up with any good ideas to deal with the disadvantages. But yesterday, I came across an interesting paper. At the first glance, their approach is novel and promising. Check it out! [Link]:http://link.springer.com/article/10.1007/s10994-011-5276-1",2,bronze,7,Wed Apr 13 2016 19:01:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20114,/competitions/yelp-restaurant-photo-classification,90th
/slobo777,Easiest and hardest to predict drivers from training set,"At least with my approach so far - which is basically hacking and tuning ZFTurbo's excellent starter script - I have consistent easy-to-predict and hard-to-predict drivers when they are in CV set. Easiest to predict, CV loss tends to match training loss and accuracy over 80% is ""p045"". Hardest to predict with CV loss and accuracy so bad (consistently worse than 10% - i.e. guessing - on my best model so far) I suspect something seriously amiss is ""p072"". In fact as the model trains, the accuracy goes down to 3% for this driver, and loss over 7! This implies some very confident mis-categorisation from my model. I'm planning to work through a few sample images this evening to see if I can find what is causing this effect. Anyone else seeing the same, or have other candidates? It would be interesting to know if it is some assumptions in my model causing this preferred driver effect, or if it is inherent to the data.",3,bronze,5,Wed Apr 13 2016 20:39:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20116,/competitions/state-farm-distracted-driver-detection,537th
/theinkedeconomist,Seatbelts: friend or foe?,"You’d expect mileage and fuel price to be negatively correlated, right?. You're confusing a change in demand (a shift of the demand curve) with a change in quantity demanded (a movement along the demand curve). As families go on vacation during the summer months, we don't move along a static demand curve, rather the demand curve itself shifts out. Given that the supply of fuel is relatively inelastic, we see a positive correlation between mileage and fuel price. On the other hand, the negative correlation between driver deaths and fuel prices does exist This is likely due to the fact that more deaths occur during the winter months when driving conditions are poor (December, January, and February). These months are also characterized by low demand for fuel (an inward shift of the demand curve) and thus lower prices.",0,None,1,Wed Apr 13 2016 22:42:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20118,None,None
/pfigliozziuc,NaNs in Train Data,"Can one of the competition organizers answer a question for me? I found 202 entries that have NaNs for Make and Model in the training data set. Now, 202 is very small compared to the 10k data points we have for the training data set but I just wanted to make sure that this is intentional. Can anyone confirm that it is? I did not find any NaNs in the test data set so I should be able to get by without it.",1,bronze,2,Thu Apr 14 2016 02:13:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20119,/competitions/claims-loss-prediction-challenge,26th
/grazim,Anyone interested in discussing the problem and/or teaming up?,"Hey all, I am semi new to data science competitions, and I started this competition to try out some methodology and dig my feet into solving problems. I feel like I am at a dead end, and I am curious if anyone is interested in discussing methodology to solving the problem and possibly teaming up? My code thus far is all written in Python, and I am happy to share code with whoever is interested. -Grazim",0,None,7,Thu Apr 14 2016 04:51:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20121,/competitions/shelter-animal-outcomes,652nd
/cfernr,Which is the best NN architecture for this competition?,"does anybody reached 0,82 or above using neural networks?",0,None,28,Thu Apr 14 2016 16:28:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20126,/competitions/santander-customer-satisfaction,575th
/tyi2000,method sharing (3rd place solution),,0,None,4,Thu Apr 14 2016 16:47:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20127,/competitions/yelp-restaurant-photo-classification,3rd
/ackerson,Log Loss with test data,"Hi, I am new here. I am trying to figure out how log loss is calculated with test data. Since the function requires an actual and a predicted what is used as the actual since that is not available for the testing data set. Thanks for any help!",1,None,1,Thu Apr 14 2016 17:03:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20128,None,None
/jimfleming,Cloud GPU Starter project,"Hi everyone! I saw a few people asking about GPUs so I put these together: [Link]:https://github.com/fomorians/distracted-drivers-tf [Link]:https://github.com/fomorians/distracted-drivers-keras It uses TensorFlow (or Keras) and setup for training in the cloud using Fomoro. *Disclaimer, Fomoro is something I built.",10,silver,19,Thu Apr 14 2016 18:21:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20129,/competitions/state-farm-distracted-driver-detection,372nd
/sayantan,Nee Help with Python and Bayes Optimization,"Hi, Disclaimer: I am new to Data Science and completely new to Python. I am trying to learn Python via this competition. In have installed, Anaconda (Python 2.7) and installed xgboost and bayes_opt. I am attaching the code and the error that I am facing. Any help will be greatly appreciated. Thanks and regards Sayantan Raha Error Initialization Step | Time | Value | colsample_bytree | gamma | learning_rate | max_delta_step | max_depth | min_child_weight | n_estimators | subsample | TypeError Traceback (most recent call last) in () ----> 1 xgboostBO.maximize() d:\anaconda2\lib\site-packages\bayesian_optimization-0.1.0-py2.7.egg\bayes_opt\bayesian_optimization.pyc in maximize(self, init_points, n_iter, acq, kappa, xi, **gp_params) 280 if self.verbose: 281 self.plog.print_header() --> 282 self.init(init_points) 283 284 y_max = self.Y.max() d:\anaconda2\lib\site-packages\bayesian_optimization-0.1.0-py2.7.egg\bayes_opt\bayesian_optimization.pyc in init(self, init_points) 141 142 # Generate random points --> 143 l = [np.random.uniform(x[0], x[1], size=init_points) for x in self.bounds] 144 145 # Concatenate new random points to possible existing TypeError: 'float' object has no attribute 'getitem' [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/114896/4073/bayes_opt.py",0,None,Error,Thu Apr 14 2016 19:08:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20130,/competitions/santander-customer-satisfaction,1003rd
/inoryy,Fast image pre-process in parallel,"Reading data was a big bottleneck for me and getting it to run in parallel was quite tricky due to GIL (so no multi-threading) and situational deadlocking. Hope this helps other people to jump start fast prototyping! P.S. Sorry for script spam, Kaggle interface for notebooks is very unintuitive.",2,None,18,Thu Apr 14 2016 19:20:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20131,None,None
/asimkievich,wow - nobody competing individually in the top 10,"I guess not unprecedented, but unusual.",0,None,3,Thu Apr 14 2016 19:20:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20132,/competitions/home-depot-product-search-relevance,98th
/khurshid,How machine learns,"I am new to data science.I am not able to understand how our model learns with a data set.Means to say, when we perform data munging and related stuff,in the end we eliminate some columns from the data set. what I think is that we eliminate all redundant rows and columns which we think will not add up in decision making and in order to make our model learn we leave our train data with only those rows and columns that we think will provide a positive result. I want to know how our model actually learns.",-1,None,1,Thu Apr 14 2016 19:22:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20133,None,None
/wendykan,Pre-trained models and external data ,"Thanks for all the questions and requests. We have discussed the use of pre-trained techniques with the host and agreed that the interpretation line between a library vs. a pre-trained model is more ambiguous than we would like. To simplify the task and reduce ambiguity, we have decided to allow usage of external data and pre-trained models.",13,silver,26,Thu Apr 14 2016 20:06:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20136,/competitions/state-farm-distracted-driver-detection,None
/rahimi,Number of submission,I can't submit new data. Is there any limitation to the number of submission per day?,0,None,1,Thu Apr 14 2016 20:59:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20137,/competitions/claims-loss-prediction-challenge,9th
/piplimoon,Beginner's attempt: LB 0.8134,"I have added my script that gets 0.8134 using sklearn RandomForestClassifier. Since I am a beginner, I would love to receive feedback on it. [Link]:https://www.kaggle.com/piplimoon/titanic/leaderboard-0-8134 I have detailed the choices for data cleaning and munging in my [Link]:http://www.reshamsarkar.com/. Feel free to check it out. It's a work in progress, and I'll keep updating it over the next few days.",5,None,9,Thu Apr 14 2016 23:09:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20138,/competitions/titanic,None
/alexandersch,my xgb_lalala,"Hello, I'm new to Kaggle and apologize in advance for misunderstandings. But way is it not possible to reproduce that script? There is just one version and the output score doesnt correspond to the locally generated one.",1,bronze,1,Thu Apr 14 2016 23:13:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20139,None,None
/wendykan,Official pre-trained models and external data thread,"Please post here for use of pre-trained models and external data. This competition will allow limited use of external data, such as pre-trained nets. Your data/model should be freely available to use by anyone in the community.",7,bronze,65,Fri Apr 15 2016 00:09:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20141,/competitions/state-farm-distracted-driver-detection,None
/csanhueza,Santander visualization approach,"Hey guys, Using a visualization approach ( [Link]:https://lvdmaaten.github.io/tsne/) I create two visualizations of the dataset. The basic idea is to reduce the dimensionality of the data to project the result in a 2d grid layout (see the details in the paper). The image ""train_santader.png"" is the visualization just for the train dataset. Here, 0 is class 0 and 1 is class 1. The image ""santander_train_test.png"" is the visualization for the whole dataset (without including TARGET in the reduction). Here, 0 represents train and 1 represents test data. Let's start a discussion here about what we can conclude from this. I attached the .fig files as well, so you can open the files on Matlab to do zoom in. Cheers [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/114970/4074/santandet_train_test.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/114970/4075/train_santander.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/114970/4076/train_santander.fig [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/114970/4077/santandet_train_test.fig",4,bronze,7,Fri Apr 15 2016 08:40:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20143,/competitions/santander-customer-satisfaction,364th
/csanhueza,ID as temporal variable?,Is anyone considering the ID of the client as a temporal? Make sense?. In every script that I checked people dropped the ID. What about using it to find temporal patterns?,0,None,1,Fri Apr 15 2016 08:48:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20144,/competitions/santander-customer-satisfaction,364th
/arpangupta87,Linear or non linear problem,"Hi all, Is there any statistical test or method which tells(with certain confidence) whether a certain binary classification can be solved using linear methods or nonlinear methods….",0,None,10,Fri Apr 15 2016 15:03:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20146,/competitions/bnp-paribas-cardif-claims-management,376th
/wcukierski,Shot Location - Misses vs Makes,"Plotting dense scatter plots well is tough! What are your go-to tricks for when density gets in the way? Jittering and/or lowering the point opacity often creates busy, muddled plots (e.g. [Link]:http://graphics.latimes.com/kobe-every-shot-ever/). Binning, like above, tends to toss out the nuance.",2,bronze,3,Fri Apr 15 2016 16:02:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20147,None,None
/piplimoon,random_state or seed & data size,"This probably a very naive thing to ask, but I'll take my shot anyway. Does data size affect what one would want to set as the seed (xgb) or random_state (scikit learn) in classifiers? I ask because tutorials usually use smaller numbers, but in this competition, and others, I have seen people use 1000-5000.",0,None,1,Fri Apr 15 2016 20:47:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20148,/competitions/santander-customer-satisfaction,None
/alvaromolina,data for academic research,Hi! I would like to know if I am allowed to use data to work on any research work or to write a paper? Thanks!,5,bronze,8,Fri Apr 15 2016 20:51:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20149,/competitions/expedia-hotel-recommendations,None
/alexlzzz,All negative numbers?,"I wonder, what is the deal with all negative numbers in the destinations table? Not that it matters much for anything, just curious. Is it a log of some kind of likelihood? I guess we won't be getting the meaning of the columns ;)",0,None,4,Fri Apr 15 2016 21:23:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20150,/competitions/expedia-hotel-recommendations,572nd
/jiweiliu,"Beat the benchmark, 0.29 LB, in 5 mins","very simple idea, find the most popular hotels in the corresponding destination. Enjoy : ) also uploaded to kaggle script: [Link]:https://www.kaggle.com/jiweiliu/expedia-hotel-recommendations/most-popular-local-hotels/ took 15 mins [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115028/4079/most_freq_dest_sub.py",3,bronze,6,Fri Apr 15 2016 21:52:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20151,/competitions/expedia-hotel-recommendations,14th
/abhijayvuyyuru,Help: Too many features to learn!,"I have just begun solving the problem, and I feel that since the image sizes are 640 X 480, there are too many features too learn. In examples on internet where deep learning is used, typical image size is 26 X 26. I was trying to run SGD, and it seems to be taking a lot of time. Any idea how the number of features could be reduced? Here's the code snippet I am using to process an image: image_height = 640 image_width = 480# Pixel width and height. pixel_depth = 255.0 # Number of levels per pixel. image_files = os.listdir(folder) dataset = np.ndarray(shape=(len(image_files), image_width, image_height,3), dtype=np.float32) for image_index, image in enumerate(image_files): image_data = (ndimage.imread(image_file).astype(float) - pixel_depth / 2) / pixel_depth #normalize dataset[image_index, :, :] = image_data return dataset copy",0,None,10,Fri Apr 15 2016 22:43:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20153,/competitions/state-farm-distracted-driver-detection,432nd
/tagarin,Anyone would like to form a team?,"I have experience with Python, PySpark and H2O.",0,None,31,Fri Apr 15 2016 22:53:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20154,/competitions/expedia-hotel-recommendations,None
/adamwoz,Welcome!,Welcome to the Expedia Hotel Recommendations competition. The goal is to predict which class of hotel was purchased given past purchases and clicks. This is the second time we partner with Kaggle to solve interesting problems (the first competition was [Link]:https://www.kaggle.com/c/expedia-personalized-sort). Don't hesitate to ask any question on the data or the platform. Thanks for participating! Adam,6,bronze,39,Fri Apr 15 2016 23:03:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20156,/competitions/expedia-hotel-recommendations,None
/jpotts18,Data Source,Does anyone what the original source of this data was?,2,bronze,1,Fri Apr 15 2016 23:14:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20157,/competitions/kobe-bryant-shot-selection,None
/doctorh,Opening csv files as NumPy  arrays in python,"Hi all, this is my first post. I was wondering about what the ""proper"" way to open a csv file in python is. When using ""open"" combined with ""csv.reader"", it opens it in a manner that makes it difficult to work with. I would like to make into an np array in a manner that will will distinguish (either automatically or by specifying) between strings, floats and ints. So far, I have been doing this very awkwardly. Is there a standard way to do this that wouldn't make me look like a n00b? Or perhaps is it standard to never convert into a numpy array, and just work with it as is? If so, what is the standard way to eke out the data in a comfortable manner? I know this is basic, but I'm just beginning.",0,None,2,Fri Apr 15 2016 23:27:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20158,None,None
/jiweiliu,most popular local hotels,Elegant!!,3,bronze,3,Sat Apr 16 2016 00:33:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20159,None,None
/pauljurczak,JPEG compression artifacts,"The images provided contain substantial JPEG compression artifacts, as shown in this image fragment: [Link]:http://i364.photobucket.com/albums/oo87/pauljurczak/jpeg%20artifacts.png Are there uncompressed or compressed with lossless algorithm images available? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115061/4080/jpeg artifacts.png",1,bronze,1,Sat Apr 16 2016 01:41:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20160,/competitions/state-farm-distracted-driver-detection,1213th
/notsodarkmatters,Location Units,"I'd like to put the data on an half court diagram, but the units in loc_x and loc_y don't really make sense for the court dimensions. Does anyone know the units used in this dataset? Thanks.",1,None,2,Sat Apr 16 2016 02:21:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20161,/competitions/kobe-bryant-shot-selection,None
/pauljurczak,Mislabeled training images,"Can anything be done with mislabeled images? Here are a few random examples from ""c0: normal driving"" category, which normally requires both hands on the steering wheel and forward gaze: img_3600.jpg: only one hand on the wheel, the other on soda bottle and sideways gaze img_2151.jpg: both hands off the wheel img_6002.jpg: talking to passenger, head turned 90 degrees img_12470.jpg: right hand off the wheel, holding the cell phone The solutions will have higher value for the sponsor, if some of this noise is removed. Since it is very early in the contest, I don't think it will hurt anyone to do it now. There could be a short deadline established for reporting errors in training data. Organizers would have a final word in accepting or rejecting proposed corrections.",3,bronze,10,Sat Apr 16 2016 04:24:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20162,/competitions/state-farm-distracted-driver-detection,1213th
/liziyuann,Scripts open to everyone?,"Hi everybody, I'm a novice in Kaagle, and I have hanged out here for several days. I am confused that why all scripts are public to everyone? If someone does good job using the scripts in a competition, then other competitors can copy the scripts and submit for their own? Is this fair? It maybe a silly question based on the share-spirit of the internet, but it still confuses me. Is there anyone willing to tell me why? Thank you!",1,bronze,2,Sat Apr 16 2016 05:49:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20164,None,None
/apartmentguru,Graph Of All Crimes,Thanks!,0,None,1,Sat Apr 16 2016 06:21:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20165,None,None
/mkkori,Neural networks vs CV !,"Hi, The question might seem a little preliminary. But I was wondering why people are not using Neural networks? Are there any specific advantages of using OpenCV over neural networks? Has somebody tried it out?",0,None,3,Sat Apr 16 2016 08:28:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20166,/competitions/state-farm-distracted-driver-detection,1155th
/mightybird,Download data to cloud instance? How?,"Hi, since I am not logged in to Kaggle when operating on a console on a cloud server how do I best (wget?) get the data without routing over my own internet connection (ftp)? Thanks Gerhard",0,None,2,Sat Apr 16 2016 09:14:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20167,/competitions/expedia-hotel-recommendations,106th
/trottefox,Nearest Neighbour Linear Features,Here is a helping hand for those who need a hint for going under the 0.45 floor ! Have a splendid week end ! :),12,gold,33,Sat Apr 16 2016 10:12:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20168,None,None
/eltotterino,What does hotel_market exactly mean?,Does anyone have an idea?,0,None,3,Sat Apr 16 2016 12:42:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20169,/competitions/expedia-hotel-recommendations,None
/dusj1993,xgb_classifier,"what's the advantage of the insert 2 new feature generated by PCA, and another question: is normalization in PCA necessary? I thought sklearn-PCA do it automatically.",0,None,3,Sat Apr 16 2016 14:47:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20170,None,None
/ajrwhite,Tips for using Support Vector Machines,"Hi, a few questions for the Kaggle hive mind… What do you see as the main strengths and weaknesses of SVMs? How do you apply SVMs to large datasets to make processing time achievable? Sampling and averaging multiple models? Or something cleverer? What is a typical Kaggle situation where you would use SVMs? As a base model, stacker? Which libraries do you recommend for working with SVMs? How should you pre process data before running an SVM? Thanks!",2,bronze,2,Sat Apr 16 2016 15:21:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20171,None,None
/aman1391,Team,Anyone up for team formation in this knowledge competition,0,None,2,Sat Apr 16 2016 16:29:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20173,/competitions/kobe-bryant-shot-selection,13th
/aissaelouafi,iPython notebook and runtime problem,"Hello, I have a problem with iPython Notebook when I want to display the train data (~27 000 000 lines) or do a simple calculations above. The notebook crashes when I want to do some calculations. I have a MacBook Pro, 2.4 Ghz intel Core i5, 4Go 1500 Mhz DDR3. Any solution please.",0,None,8,Sat Apr 16 2016 18:45:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20175,/competitions/expedia-hotel-recommendations,830th
/mandarup,posa_continent_id != hotel_continent_id ?,"do the two ids point to same continents? (doesn't look like it, just wanted to verify)",0,None,2,Sat Apr 16 2016 19:44:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20176,/competitions/expedia-hotel-recommendations,1581st
/neuralstudio,Problems with Submission,"I am experiencing problems with submissions to the Santander competition. I have uploaded 4 very different submission files (the last, as a check, arbitrarily had values for the last half of the test file set to 0), yet the AUC reported on the Leader Board has not changed at all. Each time I make a submission, the animation starts with its cutesy message, but it never stops. Eventually (after 3-5 minutes or more), I close the browser, open a new browser, and view the Leader Board. The submissions are counted, but the AUC value has not changed from the first submission. While I concede it is perhaps mathematically possible, I think it highly unlikely that very different files result in no AUC change. I am using IE11 on a Windows 7 System, and I am browsing to the submission files (not dragging/dropping onto the submission page). I have checked the format of the files in Excel and in Notepad+, and it appears the files are correct (one header line, comma separated labels, two columns of data, comma separated, no extraneous spaces or tabs after the data value on each row, the correct number of rows in the files).",0,None,1,Sat Apr 16 2016 19:49:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20177,/competitions/santander-customer-satisfaction,3731st
/domesc,Only numeric data?,Hello is there a definition for all those numeric data? I mean at least for understanding which continent/country/region/etc. those numbers are associated with. This would make the data analysis a bit more interesting. Maybe I missed the place where these are defined? Thanks in advance,0,None,4,Sat Apr 16 2016 20:40:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20178,/competitions/expedia-hotel-recommendations,1177th
/somshubramajumdar,Deep Convolutional Network using Keras,"Obtains a score of 0.9617 on public board. Replace the constants with the commented ones and uncomment the cnn.*** lines. Requires roughly 83 minutes using a 980M GPU card to obtain a 0.99400, sometimes varying to 0.99428",5,bronze,20,Sat Apr 16 2016 20:41:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20179,None,None
/ashishj150992,Access File ?,Hi fellow kagglers since I am newbie would like to know how are you viewing data? My excel is not opening the training file as well as microsoft access says the file is to large. Please guide on how to go about this? how to view the data? I guess there must be some cloud based solution. Can someone help highlighting that. Thanks,0,None,4,Sat Apr 16 2016 20:50:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20180,/competitions/expedia-hotel-recommendations,1523rd
/chaopan,Does MAP@5 averaged by # of predictions?,"I have a question about the evaluation rule: MAP@5 in the evaluation rule is the sum of P(k), which is not divided by the # of prediction, aka sum of P(K)/min(n,5). Since MAP@5 usually is divided by 5, I need to confirm the formula in evaluation rule is not a typo. If that's not a typo, submitting 5 predictions for each event will always be the better strategy than submitting less predictions, right? Can someone confirm this?",1,bronze,6,Sat Apr 16 2016 22:21:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20182,/competitions/expedia-hotel-recommendations,1403rd
/,,,0,None,19,Sun Apr 17 2016 01:13:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20184,None,None
/zoezoe1,"help, what is the meaning of ""lon""","Hi~ can someone tell me what is ""lon"" and what is ""lat""? Thanks!",0,None,9,Sun Apr 17 2016 01:19:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20185,/competitions/kobe-bryant-shot-selection,None
/zyazzy,What other competitions and tutorials are good references for this?,Hi all I am new to kaggle and would like to take on this interesting computer vision challenge! Would appreciate if someone could point me towards the right direction with some suggested tutorials. Thanks in advance.,0,None,3,Sun Apr 17 2016 01:31:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20186,/competitions/state-farm-distracted-driver-detection,None
/xiaozhouwang,Be in the money,Anyone at similar place want to merge with us? Our best single model gets 0.442. PM me. :),1,bronze,4,Sun Apr 17 2016 01:49:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20187,/competitions/home-depot-product-search-relevance,5th
/patrickalexander,Penalty shots are missing ?,Do you see penalty shots in the data set or it's missing ? It would be nice to have the entire data for player and not partial so we can do more analysis on all type of shots too.,0,None,3,Sun Apr 17 2016 04:36:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20188,/competitions/kobe-bryant-shot-selection,1047th
/liziyuann,How to do ML for time series data?,"Novice question: should we write a loop for the 5000 test (shot_made_flag NaN) entries, then use the classier to train the data prior to the entry in time and predict? Or are there any faster and effective methods? Thank you!",0,None,19,Sun Apr 17 2016 06:29:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20189,/competitions/kobe-bryant-shot-selection,468th
/xiziling,roc_curve,"By comparison, xgb may be a notch above.",0,None,2,Sun Apr 17 2016 08:52:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20190,None,None
/orikron,Additional data?,"I know it is just a knowledge challenge, but I was wondering if I can enhanced my dataset with additional information that can be found online? I can think of many additional data I would like to get, and here just a very trivial one: Score of the game, or was the Lakers won the game?",0,None,1,Sun Apr 17 2016 10:56:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20191,/competitions/kobe-bryant-shot-selection,None
/ajayram,Not able to submit my solution,"I came across this competition few days ago and I thought I will work on it during this weekend. When I am trying to submit a solution now, its says "" This competition is closed to new entrants"" I did not see any kind of first deadline or earlier deadline in the competition website anywhere. And Its says there are still 37 hours to go for merger and 1st submission deadline. Then why it not allowing me to submit ? When I went to the timeline section it says that Apr 11 is the day before which we need to submit at least one solution. Why cant they write this information on the homepage of the contest? I spent the entire afternoon with this.~!!",-2,None,8,Sun Apr 17 2016 12:29:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20192,/competitions/bnp-paribas-cardif-claims-management,None
/vzocca,Rank of people with same score,"I have a score of 0.841664, which apparently is the same as the score of a script, and many people have therefore my same score. I understand that people who got that score ahead of me are ranked above, however I also noticed people who scored the same after me who are still above me. Is there something else besides the score and time of scoring that gets judged?",0,None,3,Sun Apr 17 2016 12:31:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20193,/competitions/santander-customer-satisfaction,617th
/arpitsolanki14,Looking for a team mate for this competition,"Hi, I am looking for a team mate for this competition. I have some experience working as a BI analyst and have taken some online courses on machine learning. I want to use this competition to learn more about using machine learning techniques. I have medium level proficiency in R. Hopefully it would be more fun tackling this problem with a team mate. Please reply on this thread if anyone is interested.",0,None,5,Sun Apr 17 2016 14:04:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20194,/competitions/shelter-animal-outcomes,560th
/icewine,How can I access to the activity values of the test sets,"I am a senior student in the university. Now I am doing my final year project about data science. I am interested in this competition and choose to study for this in my final year project. Now I have built my model but I cannot find the activity values for the test sets. So I have some troubles to evaluate the accuracy of my predictions. And I find that this competition is end in 2012, so I do not not how to make some submission so that I can access to the activity values of the test sets. So I am want to ask if someone can help me with my problem. Thank you very much.",2,None,1,Sun Apr 17 2016 14:36:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20195,/competitions/MerckActivity,None
/akashtandon,Easy installation of xgboost for Windows,Follow the instructions provided here to easily install xgboost on Windows: [Link]:https://dnc1994.com/2016/03/installing-xgboost-on-windows/ Worked perfectly for me!,1,bronze,8,Sun Apr 17 2016 15:59:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20196,/competitions/santander-customer-satisfaction,64th
/danpeng,Reducing action_type levels,"I'm sure there is a way to avoid manually entering the levels that are to be consolidated into ""Rare Shot"". Any suggestions? Thanks!",0,None,1,Sun Apr 17 2016 18:01:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20198,None,None
/mightybird,Low memory? No time? No problem!,"Hi, I just wrote a first perl script that used 130 MB and about 10 minutes and got me a score of 0.281. Needs some improvement though! Cheers Gerhard",-3,None,1,Sun Apr 17 2016 18:01:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20199,/competitions/expedia-hotel-recommendations,106th
/mpekalski,Timestamps,Are all timestamps in one time zone or they are user specific?,2,bronze,3,Sun Apr 17 2016 18:11:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20200,/competitions/expedia-hotel-recommendations,100th
/gauss256,Why no regularization on convolutional layers?,"I'm fairly new to convolutional neural networks and have a question after looking at some of the scripts that have been posted. (Many thanks to those posting them!) Those scripts typically add dropout regularization to the fully connected layers, but I don't see any regularization on the convolutional layers. When I read about CNNs (such as in the [Link]:http://arxiv.org/pdf/1409.1556.pdf) they use L2 regularization on those layers. Is the omission of L2 regularization just a simplification in the example scripts or am I missing something?",4,bronze,4,Sun Apr 17 2016 18:38:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20201,/competitions/state-farm-distracted-driver-detection,621st
/donatasz,NCAA-data-visualisation-with-d3.js,"When working on my prediction model, I've spent quite some time building categorical features that would distinguish teams by the style of their play, like aggressive defence or short attacks… Even though, I didn’t really manage to improve my classifier like that. I've created a visualisation to help find some clusters and/or trends from team's average statistics. As this is my first visualisation project, it would be awesome if someone would be up for checking in out, giving some feedback, maybe point out the areas that need to be improved. [Link]:http://bl.ocks.org/DonatasZiaukas/1e73febe77869b954f9c0c61fba3e51f",0,None,2,Sun Apr 17 2016 19:18:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20202,/competitions/march-machine-learning-mania-2016,39th
/rnekavand,Ambiguity in producing results,"Hello guys I have an ambiguity in producing submission result and it's that in each record in my result set I must have only one correct hotel_cluster or it could be more than one. Suppose that in my first record I predict 5 hotel_cluster.does one of them only true and if the answer is yes, is the position of the correct branch_cluster effect on the point in that record or not? thanks",0,None,2,Sun Apr 17 2016 20:05:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20203,/competitions/expedia-hotel-recommendations,None
/dcabanillas,Data source questions,"Sorry, but I have not found the following fields at test.csv. And could you explain in more detail the cnt one? is_booking 1 if a booking, 0 if a click tinyint cnt Numer of similar events in the context of the same user session bigint hotel_cluster ID of a hotel cluster int And with respect to the destinations.csv, could you explain in more detail the d1-d149 one? d1-d149 latent description of search regions And the relation with the train/test csv. Thanks a lot.",4,bronze,4,Sun Apr 17 2016 20:12:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20204,/competitions/expedia-hotel-recommendations,None
/matteopresutto,Accuracy - Logloss Comparison,"To have a more practical understanding of the Leaderboard, what's the accuracy of a top 50 model?",0,None,3,Sun Apr 17 2016 21:58:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20206,/competitions/state-farm-distracted-driver-detection,53rd
/shahnawazakhtar,Why every good script is using extratreeclassifier one way or the other,,2,bronze,15,Sun Apr 17 2016 23:27:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20207,/competitions/bnp-paribas-cardif-claims-management,575th
/litianyang,Is there an easy way to understand the learning rate in xgboost?,"In cross validation, a larger learning rate usually gives a better result. Is there a simple interpretation of the learning rate in xgboost?",3,None,7,Sun Apr 17 2016 23:30:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20208,/competitions/santander-customer-satisfaction,1431st
/watsonstevenc,MAP@5 Scoring?,"Hi all, This is my first competition with the MAP evaluation metric. Can someone help me out a bit with understanding it? As I understand, each record in the test set has a true single hotel_cluster (of the 100). We are trying to predict that hotel cluster. Obviously, I score better if I pick it, and worse if I do not. But the details elude me. For example: If the true hotel_cluster is 91, then: Would submitting 91 alone give a better result than 91 in 5 answers (62,57,89,12,91)? Does order matter (91,87 vs 87,91)? Would the ideal strategy be to get the probabilities for all 100 clusters for each observation and just submit the top 5? Surely some newbie questions, but thanks for the help!",1,bronze,2,Mon Apr 18 2016 00:19:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20209,/competitions/expedia-hotel-recommendations,1792nd
/krlabe,My Hint,"Someone asked me for my hint. I deliberated about this for a while. The rules certainly seem to suggest that sharing information publicly is kosher, so that's alright. If it's not, well, as you will learn when you read my hint, I don't really think it matters. This could also cause me or some others to lose a competitive advantage, which is alright with me, for the same reason, but might offend others. If anyone out there has indeed figured this out and didn't want to share, I apologize. However, I feel everyone here would be wasting their time if they remain unaware of what I have learned, and so I felt compelled to write this up. Enjoy. I would be interested to hear any opinions on this subject. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115317/4081/Kaggle.pdf",6,bronze,12,Mon Apr 18 2016 03:42:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20211,/competitions/claims-loss-prediction-challenge,32nd
/liziyuann,KOBECHART,wonderful graphs!,0,None,3,Mon Apr 18 2016 05:51:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20213,None,None
/zivcarthy,word2Vec - how to use in this competition? ,"Apparently, a good number of participants have reported to be using word2vec or Glove in this competition. Consequently, I familiarized myself with these models and how they are being used to represent words as a vectors which convey meanings, such that similarity between words can be calculated, as well as associations between words. However, I'm missing the point of how this technique could be applied in the context of assessing the relevance of a query-result of a query-term? I could imaging expanding the query_term with some synonyms that found using word vector similarity. Is that it? Is there something else? Any direction or link will be appreciated ! Thanks!",0,None,11,Mon Apr 18 2016 11:23:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20215,/competitions/home-depot-product-search-relevance,825th
/goodman0,Do the mappings of user_location_country_id and  hotel_country_id resolve to the same country ?,"For example, I would like to determine if a search/booking was domestic or international Regards Steve",1,bronze,16,Mon Apr 18 2016 11:30:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20216,/competitions/expedia-hotel-recommendations,None
/weedjy,How to find events that occurred prior to the shot?,"Am I right that we should use the combination of game_date and shot_id parameters? I plotted several graphs of game_date ~ game_id or shot_id and one can see that the increase in the shot_id, for example, doesn't mean increase in the game_date plot(kobe$game_date, kobe$shot_id) copy So, 1st parameter to find the prior event is the game_date and if the dates are equal then the shots sorted by shot_id. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115353/4085/kobe1.png",0,None,3,Mon Apr 18 2016 12:01:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20217,/competitions/kobe-bryant-shot-selection,841st
/laroumagne,MXNET & R,"Hi guys, I want to give a try on the MXNET package which seems quite promising, however I've trouble doing very basic operations. I've downloaded all the img from the challenge and as seen in a tuto I loaded them within the cimg format with the ""imager"" package. For now all the training set is filled in memory inside a list. Here is my simple question : how to cast this list into a format that can be taken as input with MXNET ? Thanks for any tips :)",1,None,7,Mon Apr 18 2016 13:05:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20218,/competitions/state-farm-distracted-driver-detection,684th
/larslundqvist,scikit learn,"Hi! I just started with Kaggle and the Santander competition. I read the rules but just to make sure, is it allowed to use scikit learn in your solution? Lars",0,None,2,Mon Apr 18 2016 13:08:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20219,/competitions/santander-customer-satisfaction,3146th
/divideby0,"Is it just me... or is ""img_32463.jpg"" empty","It's only 5.2 KB and is completely blank. Is it just me (i.e. extraction error??), or can anyone else confirm this?",5,silver,6,Mon Apr 18 2016 13:39:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20220,/competitions/state-farm-distracted-driver-detection,640th
/alexeylive,When to prepare solution description and source code,"Hi All, should participants deliver solution description and source code generating solution beforehand (when only public leaderboard is available) or after the final scoring? If before, what is the best practice for potential wining candidates (range based on Public LB)? If after, what is the timeframe to prepare these documents? (general practice, if no clear statement in a competition rules) Thanks!",0,None,2,Mon Apr 18 2016 14:24:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20221,None,None
/aiswaryaramachandran,What does d1-d149 mean in destinations,"Hi, What does d1-d149 indicate in destinations file? Regards Aiswarya",4,bronze,8,Mon Apr 18 2016 15:10:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20223,/competitions/expedia-hotel-recommendations,1589th
/tugga82,RE:Bayes Text Classifer,"Hi All, Every Quarter, we do a tagging exercise to report to the Ministry. Currently, it is manual because we have about 45-50 topics in a spreadsheet that needs to be tagged. To give you an example here is how we go about this tagging: Every topic gets a primary priority tag and a secondary priority tag. Can I use Bayes text classifier algorithm in Weka to do the tagging for me given a historical data set for this exercise? Can it also be trained to classify the secondary priority tag? Anything you can do to help will be appreciated. TOPIC Primary Classification Secondary Classification WHMIS - GHS High-Hazard Activities General Support for Workplace Parties AODA Vulnerable Workers General Support for Workplace Parties Thanks, Vidya from Toronto",0,None,1,Mon Apr 18 2016 16:00:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20224,None,None
/aditya23,XGBoost for ranking ,XGBoost is the most used model in Classification problems on Kaggle nowadays. Can it be used for recommendation tasks? In recent paper [Link]:http://arxiv.org/pdf/1603.02754v1.pdf authors state that they have achieved comparable score to the benchmark paper published on Yahoo LTRC dataset. You can read it in Section 6.4 Learning to Rank of the paper. The [Link]:https://github.com/dmlc/xgboost/tree/master/demo/rank given on the [Link]:https://github.com/dmlc/xgboost is unclear. Can anyone explain after setting objective rank:pairwise how it can be used for recommendations in this competition. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115398/4087/xgboost-paper.pdf,4,None,7,Mon Apr 18 2016 16:28:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20225,/competitions/expedia-hotel-recommendations,None
/pemman,Best way to the Top of the Leader Board!,Attachment speaks for itself. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115402/4088/Santander Scripts.png,1,None,31,Mon Apr 18 2016 16:59:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20226,/competitions/santander-customer-satisfaction,3291st
/chprasad,Type of TARGET values in submission,Hi All: I only see binary values (0 and 1) for the TARGET variable in training data set but the submissions published on the forum are providing TARGET probability values to many decimal digits. What's the expectation of the organizers? Thanks Prasad,0,None,1,Mon Apr 18 2016 17:20:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20227,/competitions/santander-customer-satisfaction,230th
/lintseju,What is the prediction goal?,"In data description, it said ""Your goal of this competition is to predict the booking outcome (hotel cluster) for a user event, based on their search and other attributes associated with that user event."" and ""Training data includes all the users in the logs, including both click events and booking events. Test data only includes booking events."" So we have to predict which hotel is most likely to be clicked in testing data? What is ""click"" mean? Does it meaning booking outcome=True iff click event=1?",2,bronze,8,Mon Apr 18 2016 17:46:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20228,/competitions/expedia-hotel-recommendations,696th
/anandut2001,correlations between attributes,What information can infer from this plot? Can you please describe in words,0,None,9,Mon Apr 18 2016 18:03:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20229,None,None
/shan4224,Study Material on Keras and Theano,"Hi.. It will be helpful ,if I can get suggestions regarding good basic tutorials (books, video, MOOC etc) on Keras and Theano. I am trying to build up my knowledge on this , so that I can apply it on the problem set. Thanks a lot..",1,None,6,Mon Apr 18 2016 19:24:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20231,/competitions/expedia-hotel-recommendations,None
/shan4224,Looking for enthusiastic teammates!,"Hi.. I have few years of CS background. I am new in machine learning. Want to improve knowledge base on Deep Learning, Tensors. Will be interested to form a group for shared learning process. Seeking enthusiasts in this regard.. Thanks…",0,None,3,Mon Apr 18 2016 20:01:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20233,None,None
/sm86adi,Xgboost classifier..,"I am facing challenges in implementing xgb in python on my win 7 machine. I have followed steps from github and kaggle but whenever I run command , it throws building error. The build for xgb package is unsuccessful. Please could someone help me in resolving this. If required I can provide snapshots.",0,None,10,Mon Apr 18 2016 20:32:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20235,/competitions/bnp-paribas-cardif-claims-management,None
/sm86adi,XGBOOST help required.,"I am facing challenges in implementing xgb in python on my win 7 machine. I have followed steps from github and kaggle but whenever I run command , it throws building error. The build for xgb package is unsuccessful. Please could someone help me in resolving this. If required I can provide snapshots.",0,None,6,Mon Apr 18 2016 20:34:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20236,/competitions/home-depot-product-search-relevance,None
/benhamner,T-SNE manifold visualisation,I should start pitching some of these T-SNE visualizations as Jackson Pollock paintings,8,silver,2,Mon Apr 18 2016 21:02:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20238,None,None
/benhamner,Philippines vs SEA Countries,Nice visualizations! It would be cool to convert this to RMarkdown and add commentary on each one.,1,None,7,Mon Apr 18 2016 21:13:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20239,None,None
/benhamner,Entropy of Baby Names by State and Year,"May be interesting to normalize this by population - in general, the most populous states have the highest entropy it looks like",0,None,1,Mon Apr 18 2016 21:26:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20240,None,None
/benhamner,Does ggplot work?,yes ;),1,None,1,Mon Apr 18 2016 21:27:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20241,None,None
/spammy,More on mislabeled training data,"It sure looks (to me at least) that some of the classes are badly mislabeled. I sampled some of the training data and, at for some of the categories there are a lot of mistakes -- I get around 20% in the c9 (talking to passenger) category, for example. Anyone else running into this problem?",1,bronze,2,Mon Apr 18 2016 22:13:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20242,/competitions/state-farm-distracted-driver-detection,31st
/innerproduct,Thanks to all forum posters!,(I realize there's still 10 minutes remaining…) I learned a great deal in this competition. The public scripts and forums were really great. I look forward to hearing from the winners (and others too). Maybe we can have a thread where we can collect our collective wisdom? Thanks!,5,silver,1,Tue Apr 19 2016 01:50:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20245,/competitions/bnp-paribas-cardif-claims-management,361st
/socrates,Post-competition thread,Congratulations to all the new winners and new Kaggle masters!! Kudos to n_m! First individual in the top 10 position with just 4 submissions!!,5,silver,25,Tue Apr 19 2016 02:08:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20246,/competitions/bnp-paribas-cardif-claims-management,305th
/raddar,#1 Dexter's Lab winning solution,"So glad we won this one! After having such good data findings it would have been a shame not to win :) It is clear that this competition was not about ensembling but feature engineering, and we are happy that we found out the major key to winning this competition early on. Therefore, we had lots of time to exploit our findings to the max and maintain the top position ever since. The trick was very simple, and I even shared a hint to that early in the competition (without me understanding its importance at that time): [Link]:https://www.kaggle.com/c/bnp-paribas-cardif-claims-management/forums/t/19240/analysis-of-duplicate-variables-correlated-variables-large-post/110095#post110095 We figured, that data unanonymizing was important and in the end we were able to figure out some of variables' meaning: v40 - date of observation v40-v50 - contract start date v50 - days since contract startdate (in other words, claimdate) v10 - contract term in months and few others for remaining days of the contract: v12=v10*(365.25)/12-v50 v34=v10*(365.25)/12-v40 Now add this knowledge to the assumption that v22 is a customer and v56/v113 is a product type, and you will see very obvious patterns, that one contract may have several claims during contract lifespan (R: group_by(v22,v40-v50) %>% arrange(v50)): [v22,v40-v50] [v50] [target] [ZLS 12840] 197 1 [ZLS 12840] 962 1 [ZLS 12840] 1437 1 [ZLS 12840] 1498 NA [ZLS 12840] 1501 1 [ZLS 12840] 1726 1 [ZLS 12840] 1788 NA [ZLS 12840] 1882 NA [ZLS 12840] 2418 1 [ZLS 12840] 3352 NA [ZLS 12840] 3370 NA [ZLS 12840] 3909 NA So we could drop the categorical {v22} level i.i.d. assumption, and move to panel data structured categorical levels such as: {v22,v40-v50} => sort(v50), {v22,v40-v50,v56} => sort(v50), {v22} => sort(v40), etc; Just looking at the data this way, it was obvious that target value is very persistent for each {v22,v40-v50} level - i.e. if a time series starts with target=1, it usually ends with target=1; if it starts with target=0 it often ends with target=0 too; claims which target shifts 0->1 are quite rare (1->0 only few cases); So in the end it all resulted to correctly imputing target sequence for each level - which we done using lag(target) and lead(target) variables; To our surprise, these variables were not overfitting LB, and in the end we made so many lag/lead variables that it was possible to drop v22 column, and didn't even use v22 mean target techniques disccussed in the forums, which probably many top teams did anyway. Our best single xgboost model achieved 0.42347 public LB (0.42193 private), and the model takes itself only about half an hour to train on 12-thread cpu. To seal the deal, in last 2 weeks we experimented with other techniques and build few stack models with tens of different methodology models, such as nnets, linear SVM's, elastic nets, xgboosts with count:poisson, rank:pairwise, etc. I personally enjoyed working with regularized greedy forests, which were almost on par with xgboost. The role of ensembling may not as important as other competition though we have tried several diverse models. -models with tsne feature from continous variables -models by levels of certain varaible (for example,var5) -knn models on likehihood encoding varibles To sum up: As most of you, we were stuck at 0.45x for a long time and it took 3-4 weeks of dedicated time of looking and exploring the data in Excel to end up with panel time-series data, which was the key to success. Having such knowledge about the data could have gotten you to top10 without too much effort. In the end we created a useless model for Bnp, as our lead(target) variables use information from the future:) And for guys who wants to succeed - a) when starting a new competition, create simple xgboost model and use feature.importance to get a nice start to discovering important features - then stop making models and work with the data. b) do not underestimate the power of knowing what data you are working with c) dedicate some time for data exploration and try to understand how people visualize the data in the forums d) look for data patterns, especially if it has many categorical variables e) spend some time reading forums of past competitions, especially winning materials f) keep eyes on overfitting P.S. special thanks to this blog post [Link]:http://blog.kaggle.com/2016/03/17/airbnb-new-user-bookings-winners-interview-2nd-place-keiichi-kuroyanagi-keiku/ ""I found that the out-of-fold CV predictions of categorized lag features were very important. As far as I saw in the forum, many of the participants may have not created these features."" This shook our beliefs and assumptions about data being i.i.d in {v22} levels, and it took us only 1 day to utilize this and claim the top1 rank for the rest of the copmetition:) P.S.S huge thanks to Laurae for the input to data exploration. I believe it made this competition more interesting for most of us. P.S.S. team name came up when I decided to join forces with Davut, and the cartoon was playing in the background- for both of us it was our one of favorite childhood cartoons :)",179,gold,76,Tue Apr 19 2016 02:49:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20247,/competitions/bnp-paribas-cardif-claims-management,1st
/tomasohara,any way around new-submission deadline (UTC is misleading),"So is there any way around the new-submission deadline being over? The use of UTC is quite misleading. Also, what makes this particularly annoying that the competition is still open for another week. Why such bureaucracy? Tom",-13,None,27,Tue Apr 19 2016 06:29:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20248,/competitions/home-depot-product-search-relevance,None
/shalex,Синергия и другие тонкости,"Про синергию героев. Об этом здесь уже писалось, но вопрос полезности у многих остался открытым. Ну и поскольку активность соревнования в последнее время близка к нулевой, попробую взбодрить новых участников. Да, синергия влияет на качество, и да, достаточно заметно. У лидера соревнования, как я понял, это вообще ключевая идея, но он перелопатил архив из порядка 2 000 000 (!) игр. У нас в тренировочных данных их около 100 000, для анализа троек и более героев этого недостаточно, а вот проанализировать пары героев и героев в отдельности вполне. Главное не переобучиться. Эту проблему каждый решает по-своему, я для каждой команды завожу свои таблицы значимости и использую перекрестно, т.е. для каждого героя или пары героев использую информацию, собранную по играм, в которых эти герои играли за противоположную сторону. Прикладываю свой скрипт построения таблиц. Можно их вычислить один раз, а потом подгружать из файла, но, в принципе, они считаются быстро. После построения таблиц успешность команд по отдельным героев вычисляется парой строк: wr = np.sum([Pd[Hr[i]-1] for i in range(5)], axis=0) wd = np.sum([Pr[Hd[i]-1] for i in range(5)], axis=0) Аналогично считаем пары и ""анти""пары, находим разность и ""шкалируем"". Почему в скрипте в знаменателях везде вычисляется квадратный корень? Можно, конечно, приплести теорию сигналов и сказать, что с ростом числа игр полезный сигнал растет линейно, а шум растет как корень квадратный, но … не знаю. Просто это оказалось лучшим решением, как и пороги значимости, с которыми каждый может поиграться сам. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115558/4098/synergy.py",5,bronze,18,Tue Apr 19 2016 07:44:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20249,/competitions/dota-2-win-probability-prediction,7th
/abhijayvuyyuru,Logistic Regression gives weird results,"I wanted to see how well logistic regression with stochastic gradient descent performs on this dataset. So, I used a train_dataset size of 16000, test_dataset size of 16000 and validation_dataset size of 3000. (I downsampled the images by 20 to train the model faster) Here's the code snippet logistic = linear_model.LogisticRegression() print('LogisticRegression score_1: %f' % logistic.fit(X_train_reshaped, Y_train).score(X_test_reshaped, Y_test)) print('LogisticRegression score_2: %f' % logistic.fit(X_train_reshaped, Y_train).score(X_valid_test_reshaped, Y_valid_test)) copy Here are the results I got: score_1: 0.11 score_2 : 0.98 An accuracy of 11 percent?! What could probably be going wrong? (I have attached the script as well if somebody wants to have a look at it) Any help will be really appreciated! Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115571/4099/statefarm.ipynb",0,None,3,Tue Apr 19 2016 09:10:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20250,/competitions/state-farm-distracted-driver-detection,432nd
/del=c847b078443444b2,How are you handling large data sets?,"I am trying to do this in R or Python. I am interested to know how the kaggle community is handling big data sets. Below are few thoughts I have Take a subset of the database, build a model and then run the model on the entire database using kaggle scripts Use packaged to handle big data sets such as ""ff"" for R or ""Blaze"" for python and do everything on your own system. I want do everything on my own system but so far I have found that these so called big data packages are not very helpful. Some are taking too long and some have memory errors or some other errors. I have been stuck in this phase for lmost a day. I haven't worked much on big data sets. I have't used kaggle scripts much either. What would be best way to work on this competition?",5,bronze,35,Tue Apr 19 2016 09:22:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20251,/competitions/expedia-hotel-recommendations,543rd
/bishwarup,escalated chi: 2nd place solution,"I was reading raddar's post about their advance data exploration and inference about the anonymous feature sets, I must admit you guys did a fantastic job there. In contrast, we did not invest much time on EDA as we found out likelihood encoding of interactions improving the result exponentially in the early stage of the competition. Since then, I mostly focused on creating different representation of the interactions in different levels and Daniel took care of the Stacking and ensembling part. Jeremy (idle_speculation) also had a fantastic set of features which helped us in the later stage of the competition. the image below illustrates our workflow in a nutshell: [Link]:https://i.imgsafe.org/91d5795.png We also tried a lot of other things but didn't have much time to finish training on them- especially worth mentioning RGF. As already noted in the forum, performance wise it was almost on par with XGB but very slow. I extend my greetings to the other winners and thank Kaggle and BNP Paribas for hosting such a nice competition. I would also like to thank my teammates Daniel and Jeremy for their valuable contributions. Last but not the least, Laurea - keep rocking :)",62,gold,17,Tue Apr 19 2016 09:38:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20252,/competitions/bnp-paribas-cardif-claims-management,2nd
/hshihab,XGBOOST with combination of factors,Amazing script! can you please shed some light on why did you remove the columns in omit.var ? Thanks,6,bronze,24,Tue Apr 19 2016 15:13:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20255,None,None
/narsil,"Error Expected 'ID' column to be of type 'String', but was 'Int32'","Hello, Can admins refer to the error I am getting: ""ERROR: Expected 'id' column to be of type 'Int32', but was 'String' ERROR: Unable to convert 'id' column row 100001 value '1e+05' to expected type 'Int32' ERROR: Unable to convert 'id' column row 200001 value '2e+05' to expected type 'Int32' ERROR: Unable to convert 'id' column row 300001 value '3e+05' to expected type 'Int32' ERROR: Unable to convert 'id' column row 400001 value '4e+05' to expected type 'Int32' ERROR: Unable to convert 'id' column row 500001 value '5e+05' to expected type 'Int32' ERROR: Unable to convert 'id' column row 600001 value '6e+05' to expected type 'Int32' ERROR: Unable to convert 'id' column row 700001 value '7e+05' to expected type 'Int32' ERROR: Unable to convert 'id' column row 800001 value '8e+05' to expected type 'Int32' ERROR: Unable to convert 'id' column row 900001 value '9e+05' to expected type 'Int32'."" copy I checked in the .csv file - In the row 100001 i have a value of 100000, and not '1e+05', so it should be ok. I copied ids directly from the test set. What shall I do to avoid this?",0,None,2,Tue Apr 19 2016 16:44:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20257,/competitions/expedia-hotel-recommendations,16th
/godknowsall,A Potential Story,"Michael, a participant of this competition, downloaded all the data and really spent $2k to label them. After that he sent the labeled data (~100k) to his buddy Lincoln. Now is the show time of Lincoln. He combined the ImageNet training data and the labeled competition data to train a powerful ‘object classification’ ConvNet, and even wrote a paper as the only author to arXiv with title such as ‘balabala convolutional neural network for object classification’. Along with this paper, the powerful pre-trained model has also been released, and was even posted on Caffe model zoo (now publicly available). God, it is not the so called ‘object classification pre-trained model’. It is a distracted driver detection model, but nobody knows that. Michael received the model and posted the link in the kaggle forum to announce he used it together with VGG19, ResNet, GoogleNet. However, who will really notice that. If someone notice it, who dare to use the model in a zero citation arXiv paper (who is Lincoln, never heard). Nevertheless, with the powerful over fitted model, Michael could get any performance as long as he wants, and all he should concern is not too obvious. Michael got the first place finally, but all the other kagglers think he is suspect. No evidence at all.",5,bronze,3,Tue Apr 19 2016 17:40:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20259,/competitions/state-farm-distracted-driver-detection,None
/svashishtha,"When to start ensembling ? What is a ""good"" score?","Hi people, This is my first project in NLP and also the first one where I have seriously spent some time working on Kaggle. I started working on the Home Depot problem with the sample submission and then by putting the average relevance in all the examples, I got a baseline RMSE of around 0.53 Thanks to the forums and scripts, I discovered many ways to engineer interesting features and gradually I kept improving my RMSE on both CV and LB. Now, my single best model produces around 0.462 on CV and 0.474 on LB. I have two questions here: When do I know that this is the right time to start ensembling? How do I determine independently whether my RMSE score is good or bad? I have seen people commented that their best single model produced a RMSE of around 0.444. If there was no leaderboard or forum, I wouldn't have known that my score is not really a great score. I know that the ideal RMSE is ""zero"" but how do I know what is a good score if it's greater than zero? My plan was to start ensembling different models when I start getting decent scores in individual models. Although, I ended up ensembling models even with this score and got better results, but after looking at the leaderboard, my definition of a 'decent' score has changed. Would really appreciate if someone can enlighten me. :) Thanks Sid",0,None,7,Tue Apr 19 2016 17:57:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20260,/competitions/home-depot-product-search-relevance,297th
/beedata,How to use xgb.cv  producing the same fold every time? ,"How could I use xgb.cv to produce the exactly the same folds every time? For example, I want to run xgb.cv 5 fold for 5 times. Every time I want to get the exactly the same fold. Thank you.",0,None,7,Tue Apr 19 2016 18:34:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20261,/competitions/santander-customer-satisfaction,None
/jopisch,Submission format,"My submission has been rejected five times because of errors. Here are the first few lines: shot_id,shot_made_flag 1,0.44894027 8,0.261570827 17,0.681818182 20,0.681818182 33,0.314769976 34,0.44894027 what's wrong with it? Thanks",0,None,3,Tue Apr 19 2016 19:14:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20262,/competitions/kobe-bryant-shot-selection,424th
/tamersh,Immediate help please,"Hello all, First of all, i'm not participating in this competition. The thing is, i'm a student and i have a Machine Learning course, and i chose this idea as my term project for college. I'm new to this environment, it is my first experience with machine learning and so… Therefore, how can i solve this problem? what should i do and how to do it? What are the most suitable programming languages for this? i know (Releated to this field) Matlab and Java. Kindly, tell me how to successfully do my project. Any help or advice would for sure be appreciated. Good luck for all of you Regards,",-9,None,2,Tue Apr 19 2016 20:54:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20267,/competitions/santander-customer-satisfaction,None
/thomasseleck,R version of most popular local hotel,What is the goal of the function sum_and_count()? Where do coefficients (0.05 and 0.95) come from?,0,None,2,Tue Apr 19 2016 22:30:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20268,None,None
/wangruobing888,wip_allleaks_landing_doc_dets_conf_lvls14012017,"Why when I copy the code and run exactly the same code on my computer, the score is different from this output?",0,None,5,Tue Apr 19 2016 23:55:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20270,None,None
/benhamner,Updated Kaggle Data Release,"I just released an [Link]:https://www.kaggle.com/kaggle/meta-kaggle! This includes data on completed competitions up through today (Tuesday Apr 19) on all the tables we'd previously released, along with three new tables that contain forums data: Forums ForumTopics ForumMessages You can use these new tables to analyze the content of user's forum posts and [Link]:https://www.kaggle.com/benhamner/d/kaggle/meta-kaggle/kaggle-users-with-most-forum-karma. I'm excited to see what you do with this updated dataset!",1,bronze,1,Wed Apr 20 2016 02:28:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20271,None,None
/kakauandme,TensorFlow NN for Santander,Super weird that the results differ from your local ones. Hard to tell what is going wrong,0,None,1,Wed Apr 20 2016 03:40:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20272,None,None
/xiziling,Mapping Kobe Bryants Shots,Beautiful court!,0,None,3,Wed Apr 20 2016 05:08:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20273,None,None
/kmsingh,Data Preprocessing & XGB (python) ,"Hi, I am trying to approach this problem systematically. Some of parts (1st & 2nd), I have taken from Scirpus. Data Preprocessing steps, I am trying to do Remove duplicate features. Add sumZeros & PCA features. Replace all the values which are missing/erroneous (9999999999, -999999) with most frequent value. Do min-max ((x-min)/(max-min)) or standard scalar ((x-mean)/std)) normalization, as the range of values of different features seems to be very different. Its often suggested that when you are optimizing cost function, its better to have values of different features in similar ranges. Remove features, which has only one value dominating e.g. 0.9999*no_rows If there are small no. of unique values e.g. (2-5), assume they are categorial and use onehotencoder to generate features. After doing these, my auc & leaderboard score decreases compared to Scirpus script with xgboost. If target values are imbalanced, xgboost says to use max_delta_step, but it doesn't have much effect even with max value of 10. Please suggest, what I might be doing wrong?",1,bronze,1,Wed Apr 20 2016 09:23:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20275,/competitions/santander-customer-satisfaction,453rd
/masterliu,does xgboost only select 147 features?,"I use get_fscore() to print the importance of features and when print, i only got 147 features, does this mean xgboost only choose these 147 features?",0,None,2,Wed Apr 20 2016 13:32:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20279,/competitions/santander-customer-satisfaction,1678th
/jturkewitz,Challenging Competition,"Anyone else having difficulty making any progress in this competition? Nothing I have tried so far has really made much of a difference (my first submission after about a couple of hours of work is still my best), I was wondering if others found this also to be the case.",7,silver,36,Wed Apr 20 2016 20:58:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20294,/competitions/santander-customer-satisfaction,122nd
/shahnawazakhtar,Is it allowed for final script to use only hand written rules to decide target,,0,None,5,Wed Apr 20 2016 21:24:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20296,/competitions/santander-customer-satisfaction,2479th
/benhamner,Meta Kaggle Data Updated!,"I just released an [Link]:https://www.kaggle.com/kaggle/meta-kaggle! This includes data on completed competitions up through today (Tuesday Apr 19) on all the tables we'd previously released, along with three new tables that contain forums data: Forums ForumTopics ForumMessages You can use these new tables to analyze the content of user's forum posts and [Link]:https://www.kaggle.com/benhamner/d/kaggle/meta-kaggle/kaggle-users-with-most-forum-karma. I'm excited to see what you do with this updated dataset!",2,None,14,Wed Apr 20 2016 22:06:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20297,None,None
/laurae2,Distance Metrics,"If you are in need of new distance metrics to test as features, here is a research paper compiling about 50 different metrics and their similarities, along with their computation formula. From there you can test them using your own method and/or use feature selection if you need to check whether they add up or not to your models' performance. Credits for the research paper: Sung-Hyuk Cha [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/115938/4106/Comprehensive Survey on DistanceSimilarity.pdf",4,bronze,1,Thu Apr 21 2016 00:12:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20298,/competitions/home-depot-product-search-relevance,211th
/shahnawazakhtar,Does it make sense to loop through seed to get best,I was thinking about looping through seed to get best seed. Does it make sense to search best seed or it will be worthless…,0,None,3,Thu Apr 21 2016 01:38:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20299,/competitions/santander-customer-satisfaction,2479th
/adrianprv,Looking for Python Data Scientist to team up,"I'm looking for someone with good Python knowledge and computational power who is late at the party and still wants a decent place in final LB. I don't have time anymore to improve my 20 features on my i5, still I can provide good preprocessed data and know-how to get in the top 100-150 in the remaining days. You can find my email on my profile.",0,None,2,Thu Apr 21 2016 05:35:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20300,/competitions/home-depot-product-search-relevance,257th
/benhamner,Kaggle Leaderboard Performance Over Time,"This graph shows Kaggle leaderboard performance over time for all of our standard public competitions. The pink line at the top represents our easiest competitions, where competition participants approached the best final score in the competition very rapidly soon after the competition was launched. The bold green line in the middle represents the median competition. Our typical competitions are characterized by rapid progress improvements in the first quarter of the competition, and then diminishing improvements over time. There's little-to-no improvement in the final quarter of the competition. The bottom red line represents our most challenging competitions, including many computer vision and natural language processing ones. It's tough to get started in these competitions, and then performance continues to evolve over time for the duration of the competition. This indicates that there's still more work to do on the problem & running the competition for longer would generate better results. Each of the individual lines represents different competition deciles, ranging from 10% of competitions to approach the final best score the fastest to 90%, in increments of 10%. The SQL query starting on line 12 shows the data used to create this graph. I filtered out nonstandard competitions for various reasons (such as classroom competitions, short hackathons, multi-stage competitions without a private leaderboard for most of the competition, competitions we needed to restart, etc.). Many competitions didn't have a competitive baseline attached, so I defined the baseline to be the best submission file that came before or within the first 24 hours of the competition (so this includes host-defined baselines, Kaggle-defined baselines, and quick and easy participant baselines).",4,bronze,6,Thu Apr 21 2016 07:04:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20301,None,None
/darthtc,"Blending RF,GBT,ABC and XGB","Hi, did combining other weaker tree based methods help ? May I ask the score you got for this submission?",1,bronze,10,Thu Apr 21 2016 08:08:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20303,None,None
/zivcarthy,unique search-term as a feature? ,"I noticed that in all the data-set there are only 24,097 unique search terms. Since the data set has 240760 queries altogether, many search_terms occur multiple times. 40% (!) of the unique search-terms appear both in Train and Test sets. I have decided to experiment and add a numerical value for each unique search_term and to add this value as a feature. In a similar 'spirit' to adding a 'brand feature' or 'product_uid' as features, one could assume that certain search terms are simpler to answer correctly than others, hence producing higher relevance score. I tested it with XGBoost, which resulted in a strong improvement on local 10-fold CV (RMSE 0.459, std 0.0025), but much worse LB (RMSE 0.4895) compared to the LB without this feature (RMSE 0.47710) Clearly, the feature causes very significant over-fitting. Did anyone use this feature? Did it improve or worsen the results? Any insight as to why is it different than 'brand-feature' or 'product-uid' which actually improved the LB? Thanks!",0,None,5,Thu Apr 21 2016 10:27:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20304,/competitions/home-depot-product-search-relevance,825th
/nakulkothari,Identifying patterns in fraudulent email addresses,"Hi, I am currently working on a paper related to developing a model to identify patterns in fraudulent email addresses using email account and related fields like name, DOB, address. I have identified some of the patterns like no of vowels in fraud emails, no of special characters in fraud emails. Can anyone guide me what other patterns can I look into to make my model more accurate.",0,None,1,Thu Apr 21 2016 10:54:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20305,None,None
/meanku,Overfitting too much？,"I just fall into some problems， I use the pretrained VGG_16 net and set the Convolutional layer's params non-trainable, Then followed the keras scrips to create the local train_val set(20 drivers for train and 6 for val), the loss(categorical_crossentropy) is down to almost 0.3 after one epoch and the val_loss almost unchange even raise. whatever I do to change the model's capacity, the same thing happened except let all the model's params trainable.",0,None,6,Thu Apr 21 2016 12:22:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20307,/competitions/state-farm-distracted-driver-detection,180th
/sionek,Improved stratified folds,"According to the specification of caret package, function createFolds() creates stratified folds. Probably, caret uses the same mechanism during cross validation. Running the script one can see that typical standard deviation is in the range of 1.5-7.0% of mean value depending on the seed and the number of folds. I do not know if it is big or small value, but the value in that range can be obtained without using caret. The script creates ""improved"" stratified folds of standard deviation several times lower than random createFolds().",0,None,2,Thu Apr 21 2016 12:39:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20308,None,None
/pavetr,How to evaluate my perfomance without publishing result?,"Hello! I am quite new here, so I want you to help me understand. is it possible to understand my script accuracy before publishing to Kaggle? I am asking because when I play with my data and then my private ROC or logloss are improved, but when I am publishing, my score can be decreased even by 10%. What metrics can I use for my private evaluation to understand if I move right in terms of public Kaggle result? At the moment, my question is quite specific and relates to Santander Bank.",0,None,5,Thu Apr 21 2016 13:33:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20309,/competitions/santander-customer-satisfaction,None
/inversion,Leader Board Math,"By my calculations: 24,715 - Rows in Public LB 15,283 - Rows are scored in Public LB (i.e., 9,432 are filler) 1,592 - c0 labels are scored in Public LB 1,575 - c1 1,609 - c2 1,550 - c3 1,571 - c4 1,589 - c5 1,567 - c6 1,404 - c7 1,422 - c8 1,404 - c9 I should point out, this doesn't tell us anything about the Private LB, except that there are 55,011 rows. We don't know how many are scored, or what the label distribution is. So, use this information at your own risk.",3,bronze,5,Thu Apr 21 2016 15:09:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20310,/competitions/state-farm-distracted-driver-detection,1124th
/hamelg,Highest No Leakage Models,"The competition suggests not training on data that occurred after a given shot to avoid possible data leakage, but most of the uploaded scripts and I'm assuming many scores on the top of the leaderboard are from models that ignore this stipulation. Since this rule is unenforceable, post your best non-leakage scores here. My best no leakage result is 0.60858.",3,bronze,13,Thu Apr 21 2016 17:03:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20313,/competitions/kobe-bryant-shot-selection,221st
/siliconvalley,Targeted TF/IDF,"I tried the approach of building a targeted TF/IDF model to provide the cosine scoring of a query against its corresponding document (query+title+desc). The idea is to take my best scoring submission of 166K rows and to target ~1K rows to replace with relevance scores produced from my targeted model. Since those 1K rows are scored by a specific model with lower train/validate RMSE, my hope is to lower my LB score by ~0.001 (being optimistic!) for each TF/IDF model. The back-thinking is to model per Home Depot department, or per merchandise category, or per brand. I think that many searches ultimately land in one sphere, such as ""paint"" or ""appliances"" or ""gardening"" for instance. I honed in on three target models, for keywords: ""closet"" ""battery"" and ""dewalt"". I think ""closet"" might subset the HD catalog along the line of functionality, ""battery"" targets electrical items, and ""dewalt"" of course is brand-specific for tools/hand tools. I'll explain ""dewalt"" here. Row counts: train - query+title+desc - 840 train - query only - 429 test - query+title+desc - 1,679 test - query only - 798 total - query+title+desc - 2,519 total - query only - 1,227 I build a DTM with the total 2,519 rows of train+test(dewalt) data. I trained an XGB model on the 840 training rows the same way I train my overall XGB models, with an 80/20 split checking validation RMSE, except tuned to this much smaller training data set. The RMSE of this model, now including the cosine score for each query, was ~0.4463 - whereas I usually get ~0.4590 for any model on the full 74K training data set. So it seems as if this specific model built just for ""dewalt""-related searches should score better on test data. So I scored the 1,679 test rows using this targeted model, then overwrite my best scoring submission in these locations. Upon submission, it didn't improve my LB score, and the score was nearly the same (<-0.0001 difference). I then scored just the 798 test rows where ""dewalt"" appears in the query - again, no improvement. Then I build a TF/IDF model using the 1,227 query-only rows; of course, now the training data set is a mere 429 rows. This submission also was a near-tie to my best score. You can see box and whiskers plots of relevance as related to cosine score in the attached files. Though not shown here, the plots for ""battery"" looked much better, with a definite up-slope of cosine scores with increased relevance. I'd have been satisfied with a down-slope as well, so long as their appeared to be a discernible relationship. For ""dewalt"", as you can see, there isn't a clearly visible relationship. However, since I'm building tree-based models, the influence of cosine score still should be, and is, useful for model-building. My ""battery"" model submissions also scored flat with my best scoring submission. Can anyone comment on why these targeted TF/IDF models aren't effective? Is anyone doing something similar? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/116054/4107/dewalt.w.bw.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/116054/4108/dewalt.wst.bw.png",1,None,7,Thu Apr 21 2016 19:49:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20315,/competitions/home-depot-product-search-relevance,169th
/woshialex,batch size in CNN affecting performance,"I would naively think a larger batch size is good for performance (and quickly saturated after it is large enough). But in this competition, it seems a smaller batch size actually helps (CV score improved). A batch size of 16 is better than 64. Does anyone else see the same?",1,None,18,Thu Apr 21 2016 21:24:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20316,/competitions/state-farm-distracted-driver-detection,126th
/krishnateja614,ADMINs Competition closed to new entrants,"Hi, I did one submission prior to the deadline and it caused an error due to the mismatch between the number of fields. I thought this would count as 1st submission but today when I tried to submit another submission, it showed competition closed for 1st time submissions. How can I resolve this?",0,None,1,Thu Apr 21 2016 22:47:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20317,/competitions/home-depot-product-search-relevance,None
/beedata,Has anyone tried KNN in R? ,Anyone tried KNN? Is there any special parameter you set for this severe imbalanced data?,0,None,2,Fri Apr 22 2016 00:50:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20319,/competitions/santander-customer-satisfaction,None
/karakasoglu,Variables is_booking and cnt,"Hello, I see that variables is_booking and cnt are missing in the test set. Why is it so? Are we supposed to treat them as target values too? Thanks.",0,None,6,Fri Apr 22 2016 00:53:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20320,/competitions/expedia-hotel-recommendations,451st
/jimthompson,Sharing code....,"While waiting for the results to be validated, I documented the approach and upload the source code developed to this github repo ( [Link]:https://github.com/jimthompson5802/kaggle-BNP-Paribas). I'm sharing this to help others and possibly get pointers to improve. All feedback is welcomed. The overall model is based on a stacked model approach. Updated: 22Apr. This is the link to the repo's wiki that provides high-level description of the model stacking approach taken and how to build the models ( [Link]:https://github.com/jimthompson5802/kaggle-BNP-Paribas/wiki)",8,silver,3,Fri Apr 22 2016 02:26:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20321,/competitions/bnp-paribas-cardif-claims-management,132nd
/fenixchen,how to interpret the dump of xgboost's tree model,"Hi all I am playing with xgboost python API. Somehow I could not understand the tree structure that the library dumps: 0:[f98<0.000216558] yes=1,no=2,missing=1 1:[f61<2185.39] yes=3,no=4,missing=4 3:[f22<0.0019162] yes=7,no=8,missing=7 7:[f91<16.8246] yes=15,no=16,missing=15 15:[f18<0.00202607] yes=27,no=28,missing=27 27:[f64<2008.97] yes=47,no=48,missing=48 47:leaf=0.102881 48:leaf=-0.141415 28:[f26<0.00163422] yes=49,no=50,missing=49 49:leaf=0.272338 50:leaf=0.0119564 16:[f97<0.00154485] yes=29,no=30,missing=30 29:[f14<-5.81119e-05] yes=51,no=52,missing=52 51:leaf=0.0964337 52:leaf=0.20142 30:[f101<-0.000169924] yes=53,no=54,missing=54 53:leaf=-0.240069 54:leaf=0.116044 8:[f56<4217.57] yes=17,no=18,missing=18 17:[f50<3.12108] yes=31,no=32,missing=32 31:leaf=0.0139368 32:leaf=-0.382947 18:leaf=0.125817 copy Is this everything that I need to make a prediction for a new coming sample? The decision seems to be simply follow the decision at each node, correct ? For instance, a certain example might go the path 0->1->3->7->15->27->47, which has a value of 0.102881 Is 0.102881 the value then we may use to make the final classification? My understanding of boost tree is to combine several trees with a weighted scheme, but here there seems to be only 1 tree available. I am a bit confused, can anyone clarify this for me ? Thanks a lot !",3,None,2,Fri Apr 22 2016 02:34:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20322,None,None
/venkatsena,Amazon Machine Image(AWI)- ami-1f3e225a Not found in AWS,I was trying to follow Kaggle's deep learning tutorial to configure an AWS instance but I'm not finding the AMI image. Is there an other image I can use?,2,bronze,3,Fri Apr 22 2016 06:07:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20324,/competitions/facial-keypoints-detection,None
/tuehen,Why are my scores so bad?,"Hey guys i to have taken about the same approach as everyone (split time into weekday, hour, day, year, hasname, IsMale, IsFemale, IsVertile, IsMix and a brunch of binary classes for races and colors - which seems to be a lot of classes but those improve the result). Yet my cross validation score in random forests is considerably worse (>1.5 and larger with sklearn defalut parameters) than what everyone seems to be getting (<1). Also amusingly i get a better logloss score with LogisticRegression (about 1). Any hints as to what I am doing wrong? edit: never mind i just noticed that I did a stupid mistake when converting the age to days, its about 1 at least - but the overall question still holds i guess.",0,None,3,Fri Apr 22 2016 07:31:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20325,/competitions/shelter-animal-outcomes,None
/davidkuo,Missing shot_made_flag !,Does anyone know why some records' class label (shot_made_flag) be missing ? Are they shots on foul ? or in other situation ?,0,None,1,Fri Apr 22 2016 08:48:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20326,/competitions/kobe-bryant-shot-selection,None
/sterby,Vowpal Wabbit,"Hey guys, to tackle the dataset I thought about using vowpal wabbit. Has someone an idea how to use this here? Regards, Sterby",2,bronze,4,Fri Apr 22 2016 09:52:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20328,/competitions/expedia-hotel-recommendations,549th
/ncchen,What methods do you use?,"[Link]:http://158.109.8.37/files/Amo2013.pdf categorizes methods for solving multi-instance classification problems into three paradigms: (1) Instance Space paradigm, where each instance is associated with a label (positive/negative) or a score. Example: MI-SVM mentioned in [Link]:https://www.kaggle.com/c/yelp-restaurant-photo-classification/forums/t/20112/multi-instance-svm-misvm. (2) Embedded Space paradigm, where each bag is represented by a feature vector. Example: SimpleMI. (3) Bag Space paradigm, where we discriminate two bags by defining a distance function between two bags. Discussed below. The paper compares the performance of more than 12 methods on 10 data sets and concludes that, while no method is absolutely better than others, all methods in the Instance Space paradigm perform worse than the EarthMover’sDistance+SVM method. [Image]:http://i.imgur.com/eEnhLra.png// I've tried [Link]:https://github.com/ncchen55414/Kaggle-Yelp/tree/master/BagDistance_Submission1. The resulted private public scores ranged from 0.818 to 0.822. I’m wondering if anyone has got better scores with a better metric to measure similarities between restaurants? I’m also very curious about single-model performance of other methods, whether successful or unsuccessful. Please share your methods! Thanks.",1,bronze,3,Fri Apr 22 2016 10:00:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20329,/competitions/yelp-restaurant-photo-classification,47th
/thanish,Applying trained model on the huge test dataset,"Hello all, first of all I am new to kaggle compeditions, and i am using R for this compedition We all are aware that the training and testing datasets are very huge to be read in. So I extracted only 10000 rows of the training dataset in the read.csv function with nrows=10000 and created a simple SVM model. But I cannot do the same with the test dataset because while submitting we got to submit the entire test dataset. When I try to feed the test data(somewhere around 2500000+ records) to my SVM model it runs for sometime and ends up with cannot allocate memory of 93GB. I am using a machine intel i5 processor with 16GB of RAM. I know that R stores data only in RAM but I am not sure how to handle this situation. If any body could provide me a suggestion or how are you guys handling this situation, it would be really great and it will like a knowledge sharing for all of us.",0,None,8,Fri Apr 22 2016 11:27:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20330,/competitions/expedia-hotel-recommendations,1650th
/ritusingh,What is big data and Hadoop and How it's useful for beginners?,Looking for build my career in Big data Hadoop. Can anyone please suggest me where I can get the detailed knowledge on it.,-1,None,4,Fri Apr 22 2016 15:19:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20333,None,None
/shahnawazakhtar,Correlation Between Local CV and Private LB,"During local CV, auc drops to 81-82 range in one or two rounds but In rest of rounds it is close to 84.5 -85.5. Is it possible that if we have good local CV then private lb score will also be good. Is it possible that part of data that is used to calculate public lb isn't good representative of whole data and once other half data will be released, score will be more like local CV score…",0,None,1,Fri Apr 22 2016 15:21:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20334,/competitions/santander-customer-satisfaction,2479th
/tobycheese,Crowdsource annotation of training set,"Hi all I hacked together a web application so we can work on annotating the training set. You find the first version [Link]:http://tobycheese.pythonanywhere.com/. Before launching the effort for real, I need some feedback on a few things though: What parts of the image should we annotate? As a start, I configured three ROIs per image: head, steering wheel and left arm. But we need a consensus as which parts we want to annotate before starting the effort. In what order should the images appear for tagging? At the moment, the images are given in the order they are globbed from the filesystem. But this is suboptimal. One suggestion would be to bundle images per driver and in consequence to allow only as many people as there are distinct drivers to work in parallel. When doing it this way, for each new image the previously made annotations could be suggested, which would speed up annotations for a sequence of very similar images considerably. How could handling be improved? Please play with it a little, and report ideas on how the annotation process can be more speedy or more convenient. Bugs? They are somewhere, please report any sightings. How should the (final) output be formatted? This is maybe less important, but at the moment output is simply all fields of the database dumped into json. If someone has a good suggestion, I can make output more convenient. Some more notes: To access the results, use the following two links to either get the results of one single image, or of all images annotated so far: [Link]:http://tobycheese.pythonanywhere.com/annotated/img_72999 [Link]:http://tobycheese.pythonanywhere.com/annotated/ If you have already spent a substantial amount of work or money on annotating images and want to contribute this, we will find a way. At first I need all image ids that you have already annotated, so I can filter them out to avoid double work. Then (after we have decided on which ROIs to annotate), I can set up a second instance of the web application with just your images to annotate the missing ROIS (in case the ROIs you annotated differ from those here). Then your work can be integrated here. Things still on the todo list: Get answers to above questions and implement the consequences Add keyboard shortcuts for 'Next' and 'Reset Annotations' Add a cleanup process to remove locked files Make it SQL injection safe Maybe make it look a bit nicer, it really is just a quick hack Polish code and put it on github Edit: Changes since initial post: Reset button actually does something now Added a reference to libraries used",5,silver,5,Fri Apr 22 2016 15:37:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20335,/competitions/state-farm-distracted-driver-detection,None
/zhugds,What is the best score using pre-trained model?,Just be curious about the best score when using pre-trained model.,2,bronze,19,Fri Apr 22 2016 15:52:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20336,/competitions/state-farm-distracted-driver-detection,17th
/prith189,Solution Sharing,"I have shared my code here: [Link]:https://github.com/prith189/Yelp_Restaurant_Photo_Classification Thanks to Nina Chen for the starter [Link]:https://www.kaggle.com/c/yelp-restaurant-photo-classification/forums/t/19206/deep-learning-starter-code and MXNET team for the pretrained Inception net My final submission was an enhanced version of this. Approach: Method1: Build the business feature set by taking the mean of all the image features. Build 9 binary classification models Method2: Build the business feature set by first clustering similar images and then taking the mean of similar image sets in each business. Build 9 binary classification models Ensemble: Use a neural net and use the predictions from method1 and 2. Here the final layer uses 9 nodes and the hope is that we take into account the dependancy between labels. I have used the image features from the last fully connected layer in the Inception net in the code I've shared. Adding features from the softmax layer improves the score a little bit. Thanks, Prithvi",6,silver,4,Fri Apr 22 2016 20:49:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20340,/competitions/yelp-restaurant-photo-classification,16th
/apapiu,Using the spatial lon and lat,"It seems like the actual position of the shot taken is important but I am not quite sure what the best way to deal with the (lon, lat) or (loc_x, loc_y) coordinate system. A few things I tried in xgboost: not including them in the model including both lon and lat as numeric features, this helped a bit constructing rectangular bins ( say 10 by 10 = 100 bins) and using them as factor/categorical variables, this helped slightly more combining the numeric features, say √lon2+lat2 or lon/lat - not very helpful so far - probably also because distance is included as a feature. Anyone want to share what other options they have tried? Is there a more systematic way to deal the spatial location?",2,bronze,7,Fri Apr 22 2016 22:18:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20342,/competitions/kobe-bryant-shot-selection,119th
/kokatanurkanchana,word cloud of reviews sorted by score,"hi, I am getting error as ""In wordcloud(colnames(wordFrequency), colSums(wordFrequency), … : pay could not be fit on page. It will not be plotted."" Please help me out. Thanks in advance.",0,None,3,Fri Apr 22 2016 22:29:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20343,None,None
/apapiu,Using Xgboost on larger datasets,"This is the first time I've been using xgboost (in R) on a dataset that has more than 500k training examples and I've found it a bit frustrating at times. Which makes sense since it's a larger dataset but I was wondering if there any tricks working with larger datsets on a single machine I am not aware of. I am using it on a Macbook Pro with 8GB RAM. In particular my questions are: predict(xgboost, X_test) takes 10 minutes or more depending on the number of trees - is there a way to make this faster? (Luckily data.table not has fwrite which is great for writing the csv.file once you're done!) using caret to tune the parameters also takes forever on the entire dataset. Should I just tune on a fraction of the dataset - say 50k examples? I don't think the optimal hyperparameters on 50k examples will be the same as on the whole >800k training set. how much does the amount of RAM speed up xgboost? Would using an EC2 instance on AWS speed it up by a lot, or would it just allow me to not run out of RAM? Thanks!",3,None,2,Fri Apr 22 2016 22:36:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20344,/competitions/sf-crime,295th
/yadavsarthak,Has oversampling helped you?,"Hey. I tried oversampling by just adding repetition of all the 3008 positive samples in the train set. It increased the performance by around 0.00005 :D Has anyone else benefited from the same. and if yes, how did you do it. because oversampling honestly messes up my local cross validation scores. WIthout oversampling, I finally rounded down to a cross validation procedure which yielded very close values on the LB. Help???",0,None,11,Fri Apr 22 2016 23:08:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20346,/competitions/santander-customer-satisfaction,1295th
/jibybabu,Variable selection method,"Hi all, Which will be the best way to do variable selection? I had tried implementing Boruta/mRMRe etc. But none of them helped me in this competition to improve the score Could somebody throw some light on this ? Thanks, Jiby",1,None,1,Fri Apr 22 2016 23:45:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20347,/competitions/bnp-paribas-cardif-claims-management,155th
/breakfastpirate,"Remember, there is a first submission deadline","Remember, there is a first submission deadline a little over 3 days from now. This reminder is primarily for Naokazu Mizuta (n_m) so he does not forget to make his usual first submission ranked in the Top 10. :-)",11,gold,6,Sat Apr 23 2016 00:21:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20348,/competitions/santander-customer-satisfaction,7th
/chocokrispi,Best CV performers / lousy Kaggle scores,"Hello everyone, I have been using the xgb.cv and xgboost functions in R. I have tried different number of folds, and many different models. I have also used different performance metrics, such as AUC, logloss and simply error rate. However, when I find a model that improves on any of these metrics, I normally get a lower score on Kaggle. In other words, for ""bad"" AUC/logloss/ER metrics, I get better scores in Kaggle than otherwise. This puzzles me. Basically I don't know if my model improves until I tested on Kaggle… Does anyone know which metric should I be seeing instead of the aforementioned ones? Is there an explanation as to why I get conflicting results between my tests and Kaggle scores? Thank you.",0,None,1,Sat Apr 23 2016 00:46:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20349,/competitions/santander-customer-satisfaction,None
/shahnawazakhtar,how to do overfitting in XGBoost,,0,None,6,Sat Apr 23 2016 01:40:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20350,/competitions/santander-customer-satisfaction,2479th
/pmk2109,deleted score?,"Yesterday I was excited that I had gotten in the top 25% for my second competition and today I saw I was missing from the leaderboard? I have only a team of one so there weren't any other individuals with me making submissions, so I am unsure what the issue is? Has anyone had an issue like this before?? I'm bummed :-(",2,bronze,7,Sat Apr 23 2016 04:35:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20352,/competitions/bnp-paribas-cardif-claims-management,None
/woshialex,optimum input size,"If a person is to do the classification, I believe the classification error is independent of the image size as long as it is large enough (Width>96), but it seems that the neural network does depend on the size very much. Width=96 image already contains all the information to classify each image, so why couldn't the CNN work as well for width=96 as for width say ~128 or larger ? The con-nets need to see more trivial details in order to make a correct classification. Is it because some intrinsic faults of the designing of the Cnets? Any one has a good insight?",3,bronze,1,Sat Apr 23 2016 04:43:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20353,/competitions/state-farm-distracted-driver-detection,126th
/del=c0988d912cb88c81,xgb_lalala_cap_lims2,How are you getting the optimum no. of rounds 560?,0,None,3,Sat Apr 23 2016 09:51:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20358,None,None
/ajncespedes,How to make an ensemble when...,How to make an ensemeble between algorithms when only xgboost gives more than 0.83 score in LB?,0,None,1,Sat Apr 23 2016 13:08:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20360,/competitions/santander-customer-satisfaction,525th
/shahnawazakhtar,How to choose values for CVGrid Search,"Hi, I am having problem doing cvgrid search. What values do i need to choose for initial grid search because complexity increases exponentially with number of values of each parameter we choose. So it would take days to get gridsearch result. How people do it practically.",0,None,1,Sat Apr 23 2016 13:56:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20361,/competitions/santander-customer-satisfaction,2479th
/yadavsarthak,1st Deadline is Coming. What is to be done exactly?,"Hello everyone. Being a first timer here, what do we have to do on the ""Merger and 1st Submission Deadline"". Do we have to finalize one of our best submissions? Give our code? Can someone please tell me what exactly is to be done? Thanks!",0,None,4,Sat Apr 23 2016 19:40:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20364,/competitions/santander-customer-satisfaction,1295th
/beedata,Does some use KNN to get 0.80+ score?,"In FNN R package, I could just get 0.70 score using k=500 .",0,None,8,Sat Apr 23 2016 20:11:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20366,/competitions/santander-customer-satisfaction,None
/karimouda,XGB Question (Saturation),"I have a single XGB model with more than 150 features and my CV is so correlated with LB. The problem is whenever i add more features (20+ different features so far) i do not get any improvement in CV score although i expected some. I tried changing all XGB tuning parameters, applied automated feature selection but no luck so far Now i am not sure is it that my new features are all similar to the current ones or maybe i didn't work enough on data cleaning thus i reached the max score for the current data Has anyone been in this situation before, also how do i decide whether it is a feature problem (ex: correlation or overfitting) or a model problem, finally how do i get some confidence on the importance of a new feature without adding it to the model (currently i visualize the new feature with relevance and check the split) ** I would like to seize this opportunity to thank you all guys, i am a newbie and i learned alot from everyone :)",0,None,6,Sat Apr 23 2016 21:00:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20367,/competitions/home-depot-product-search-relevance,26th
/matteopresutto,Model behavior on validation set error,"When I train deep CNN (more than 6 layers deep) a strange thing happens: the in-sample error decreases reaching eventually near zero values while the out-of-sample error doesn't improve at all. This is how a model behaves when it overfits the training set but I'm using dropout after every layer, I even added the l2 regularization factor but nothing has changed. Since the network can overfit data I assume this is not a vanishing gradient problem, why does this happen? Did any of you experience the same thing? Edit This is a sample of what the network outputs, the vector is the trained CNN output of an out-of-sample image (ordered from c0 to c9), at its right there's the true label [ 0.07908576 0.08674794 0.09045026 0.12157904 0.07243737 0.08600142 0.13547963 0.08158217 0.1121449 0.1344915 ] c2 [ 0.07588011 0.08523834 0.08786979 0.12765758 0.06849513 0.09012776 0.13907903 0.07815139 0.11678198 0.13071878] c9 [ 0.08017623 0.08709945 0.09083226 0.12020027 0.0722551 0.08451048 0.13587254 0.08120919 0.11257692 0.13526757] c5 [ 0.07580353 0.08478168 0.08867965 0.12542175 0.06753285 0.08776323 0.13984248 0.07813746 0.1157885 0.13624895] c0 [ 0.07835174 0.08477517 0.08929344 0.12438807 0.07052168 0.08560355 0.13927543 0.07820505 0.11453225 0.13505365] c0",0,None,4,Sat Apr 23 2016 22:07:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20370,/competitions/state-farm-distracted-driver-detection,53rd
/bbuluttekin,Submission Error,Did anyone downloaded the data sets recently? Data set I downloaded (3 times fresh download) have 76020 rows in test set but submission must be 75818 according to kaggle. Are we suppose to exclude some rows? Does everybody have 76020 rows in their test set?,0,None,4,Sat Apr 23 2016 22:15:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20371,/competitions/santander-customer-satisfaction,2453rd
/shahnawazakhtar,How to know if an engineered feature is a good feature,,0,None,6,Sat Apr 23 2016 22:57:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20372,/competitions/santander-customer-satisfaction,2479th
/mpekalski,hotel cluster,"Can one hotel belong at the same time to several hotel_clusters depending on, for example, type of room picked by the user or services included? So in reality we are trying to predict what services will customer prefer? Otherwise I somehow cannot understand how clustering can change 4 times within 3 minutes (being browsed from the same site_name).",0,None,10,Sun Apr 24 2016 00:44:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20374,/competitions/expedia-hotel-recommendations,100th
/jxieeducation,"XGBoost Guide (Tuning, advanced features & more)","Hey Kaggle, I wrote a guide on XGBoost after using the library for almost 2 years now. [Link]:https://github.com/jxieeducation/DIY-Nerd---Data-Science-Resources/blob/master/xgboost.md Would really appreciate feedback! Thanks!",4,bronze,1,Sun Apr 24 2016 01:23:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20375,None,None
/malamute,Naive Question on Python Scripts,"Hello I am new to trying out scripts on kaggle. I just wrote and ran a little script to explore the data, and noticed an unimportant but annoying problem. When I do df.head(), the output comes out in a plain text format. Some other scripts I have seen from others shows it in the usual ""table"" format (with borders and a scroll bar across columns, etc). As such this is what I am used to on my local machine. I checked the scripts carefully for any initial settings they might be importing but did not notice any. Am I doing something wrong? Does it need some setup? Or is it random? asn",0,None,1,Sun Apr 24 2016 10:00:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20379,/competitions/expedia-hotel-recommendations,None
/zyazzy,Xgb baseline Model,Whats your score on leaderboard? Num_rounds might be too low for the very low eta = 0.01.,0,None,1,Sun Apr 24 2016 10:55:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20380,None,None
/salimali,Milestone Prizes,I've reserved 3 MeDaScIn 2016 conference tickets for the top 3 teams as at 9pm Friday 29th April (max of 4 given to any team with a $10 per person charge just to ensure you really want them as places are almost sold out). There is also a free ticket for the participant who is most helpful to others in this forum as at the same date and time. [Link]:http://www.datasciencemelbourne.com/medascin2016/ Happy Kaggling,1,bronze,14,Sun Apr 24 2016 11:26:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20382,/competitions/melbourne-datathon-2016,51st
/nikaashpuri,srch_destination_type_id meaning,could anyone please explain what we mean by the srch_destination_type_id field in the input data?,1,bronze,3,Sun Apr 24 2016 12:06:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20383,/competitions/expedia-hotel-recommendations,None
/anup00,Please help with advice,"Hello everybody, I hope this is the best place to post this as I wish that the maximum number of Kagglers read it and (hopefully) reply. I am new to Kaggle having been told of it first by an acquaintance only about six weeks back which was when I created my account here. I would wish to know if there are any means of getting employment (full-time or part-time / office or work-from-home) through/on Kagle; whether it happens immediately or over time its fine; whether its through competitions or some other route on Kaggle. I have a B.Sc and an MS in Mathematics, the latter being from Stony Brook University in NY, where I was a PhD student (of Applied Math). After leaving University one year into my PhD I worked as a SAS programmer on projects including a stint with American Express in NYC on contract. I returned to my native India at the peak of the recession at the beginning of the second half of 2009. Since I have not found work related to SAS or Analytics or something that would have something to do with my pre-existing skill set. I did work as a System Engineer in a well-known company in that area but left due to a number of issues. In the meantime I also did a half-year-long course in Analytics (employing SAS as a platform) and have a smattering of R. I have recommendations from Stony Brook, a SAS Programmer I worked with who is now with Novartis, and my Statistician from AMEX The main problem is the lack of experience viz. my age. I will be turning 38 this year-end and adding up the time for my degrees and diplomas and work I have a yawning ten-year gap in my profile. I have only myself to blame probably though issues were at familial level, personal, and academic at a earlier stage. There were at least two job-offers including one at IBM that got redacted after being put on hold due to some internal company issues. Those two were opportunities that I got despite the gaps in my resume. All I can say is that i have worked on my SAS skills over the years, and can probably work at the same level as somebody with maybe six years or even more of experience as a SAS programmer. I have decent knowledge of the basics of Statistics and am fairly comfortable with much of the Analytics processes (esp ANOVA Cluster Factor and Linear). My prior background in Mathematics has been of help. Anyway, much of the Statistics behind almost any of the Analytics procedures is based on Linear Algebra or on Analysis. Would Kaggle be a good place to make what could be a fresh positive start in some ways? Hoping I do feel more encouraged after reading replies (which I hope I shall get in the first place). Good day to those who read and thanks anyway. And again apologies to anybody who might have felt this post to be inappropriate here. I am left with very few choices understandably.",0,None,3,Sun Apr 24 2016 13:02:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20384,None,None
/titericz,Data Scientist Hero,Today I lost a friend whom I had great respect and gratitude. He taught me much of what I know today. He was the best data scientists I knew and was also a tremendous fighter this past year. Rest in peace my dear friend Lucas (Leustagos - [Link]:https://www.kaggle.com/leustagos). I will miss your sense of humor and your brilliant ideas. His memory and achievements will always be recorded here at Kaggle. Gilberto,537,gold,215,Sun Apr 24 2016 19:33:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20388,None,None
/adammunro,From 0.841959 on xgb.cv to 0.841101 on LB,"I ran ten different xgb.cv with the same model, changing only the seed. The average auc on this ten 5-fold xgb.cv is 0.841959 but when I go to the submit the auc goes down to 0.841101. What am I missing? Thanks",0,None,1,Sun Apr 24 2016 19:46:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20389,/competitions/santander-customer-satisfaction,1407th
/mindcool,Kaggle Hall of Fame page needed,It would be nice if Kaggle had a Hall of Fame web page with the most prominent competitors ever. At least all that were in first place at global ranking some day.,21,gold,5,Sun Apr 24 2016 20:07:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20391,None,None
/jbrettas,Doubts on feature transformation and xgboost,"Do you have a good reference about evaluating feature transformation for xgboost? For example, the functional form can be studied for logistic regression using loess. So I can, using a plot, figure out which transformation would be useful to turn the relationship between the logit and the feature x linear, which is pretty convenient for logistic regression. Is there any good strategy of this nature for the gbm algorithms? Thanks",0,None,2,Sun Apr 24 2016 20:54:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20392,/competitions/santander-customer-satisfaction,35th
/srijate,what is the submission format?,"when I make a submission it says: Column 'FeatureName' was not expected (Line 1, Column 1) Required column 'RowId' could not be found",0,None,2,Sun Apr 24 2016 21:01:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20393,/competitions/facial-keypoints-detection,None
/rdslater,Train Window,why would you do this so close to the end of the competition?,1,bronze,16,Sun Apr 24 2016 21:47:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20395,None,None
/aissaelouafi,expedia_begining,"Thanks, but the RandomForestRegressor model predict float value and not natural number of hotel cluster. In addition to that We get only one predicted hotel cluster and not 5 hotel cluster",3,bronze,2,Sun Apr 24 2016 23:27:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20396,None,None
/gkibirige,Need Advice on Selecting Data Set: Require to do project on Scoring or Prediction within 1 month,I am new to this site and data science but we are required to do project on that area. I need an advice,-1,None,10,Mon Apr 25 2016 02:39:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20397,None,None
/liziyuann,Kobe's Shots Exploration,Nice graphs!,0,None,1,Mon Apr 25 2016 04:49:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20398,None,None
/shahnawazakhtar,The Script (w/ sparse.model.matrix),How did you concluded that var33 is loan amount,0,None,9,Mon Apr 25 2016 05:20:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20399,None,None
/beiwenwu,how to convert location_id to longtitude and altitude,"In jobs table, the location_id is get from [Link]:http://www.geonames.org/, how can I convert location_id to longtitude and altitude. I checked the [Link]:http://www.geonames.org I didn't see any docs about how to do it.",0,None,8,Mon Apr 25 2016 05:31:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20400,/competitions/melbourne-datathon-2016,3rd
/beedata,SF Crime - KNN Benchmark in R,How long it takes you to run.,0,None,5,Mon Apr 25 2016 06:56:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20401,None,None
/medial,Team up to win (maybe) this competition,"Hi, I developed a new algorithm from scratch in Visual C (I call it deepbit) The algorithm alone gets an AUC of 0.8405 on the Public-Table However it quite different from XGBOOST, so I get much higher result while combining it (in a naive way) with XGBOOTS (0.8424 on the public table, 20th place) . I do believe that if someone from the top 10 will put my algorithm, as well, in his ensemble, we will be able together to win prize in this competition. copy So someone from the top 10, wants to team up ? Nir copy",17,gold,7,Mon Apr 25 2016 07:34:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20402,/competitions/santander-customer-satisfaction,1st
/yehjames,What is the difference between hotel_market and srch_destination_id?,"Here are the two article talking about the meaning of srch-destination-id and hotel_market, but both of these seem like the city name. Can anyone tell the difference between these two? Thanks! srch-destination-id [Link]:https://www.kaggle.com/c/expedia-hotel-recommendations/forums/t/20286/what-does-srch-destination-id-mean/116010 hotel_market [Link]:https://www.kaggle.com/c/expedia-hotel-recommendations/forums/t/20169/what-does-hotel-market-exactly-mean/116441",1,bronze,10,Mon Apr 25 2016 08:20:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20403,/competitions/expedia-hotel-recommendations,1404th
/eccentric,Any exactly duplicated columns in the train.csv?,"I found too many scripts delete the duplicated columns. So I also want to do this in my script, but I found it seems no exactly duplicated columns in the data. Is there something wrong with my script?",0,None,10,Mon Apr 25 2016 10:27:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20405,/competitions/santander-customer-satisfaction,403rd
/aman1391,Shot Location - Misses vs Makes,Very nice work :),0,None,2,Mon Apr 25 2016 11:28:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20406,None,None
/yaojenchang,How to save a file in Notebook,"Hello, I have a question about Notebook in Python. I got submission result I want to save, but it seems I can't do that!? And the normal running time for my test program is over 20 mins so I can not just run it and produce results… Is Notebook capable to save a text or csv file? Thank you for all the helping.",16,None,10,Mon Apr 25 2016 11:57:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20407,None,None
/alexandrudaia,Is it  late  for me?,"Hi guys , Just arrived at this competition ( so wish me welcome). I wanted to ask in order to to waste time cause the forum is real big until now, I am currious how is you local crossvalidation compared to LB and what are your bets scores on local eval? Tnks!",0,None,1,Mon Apr 25 2016 13:09:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20408,/competitions/santander-customer-satisfaction,2341st
/breakfastpirate,"Oh, come on ... really?","[Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/116619/4119/Really.jpg?sv=2012-02-12&se=2016-04-28T12%3A32%3A36Z&sr=b&sp=r&sig=LwOjk8YyAcimVsLUN%2FN8vCmyQiVA1YumRyFNBMLElGs%3D EDIT: Okay, I understand this now. I missed the other forum post that Lucas had passed away. I just thought they were assembling a dream team. Sorry about that. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/116619/4119/Really.jpg",3,bronze,3,Mon Apr 25 2016 14:32:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20410,/competitions/santander-customer-satisfaction,7th
/jiweiliu,To the team of masters,"You are sitting on the place based on two men's work and you don't wait for their reply and just merge? I am not cool with this. Gilberto Titericz, I made you the team leader, I agreed with the first merge and I'm willing to do something for Lucas. The second merge happened when I was sleeping before I reply. It doesn't matter that I am gonna reply yes. I don't like being treated like this. Here is the deal, I am gonna use one slot on my own at most per day. You can find the code in the repo I shared to Gilberto. It's up to you how to use my submission. That's it. Edit: this is the feedback I want from the kaggle community. The team leader can do merges without consent from all teammates. Is this right and should kaggle do something about this? To be honest, I never realize this is a problem until today.",19,gold,43,Mon Apr 25 2016 15:44:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20411,/competitions/santander-customer-satisfaction,3rd
/ab19026,Are all features numerical?,Neither categorical nor nominal?,0,None,2,Mon Apr 25 2016 16:23:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20413,/competitions/santander-customer-satisfaction,2091st
/joetaylor1202, Algorithms used,"I joined Kaggle to learn about machine learning and I am enjoying this particular challenge given my day job in sport. So far I've focused on using the RandomForest package within R and I am still making progress. However, I am interested in trying some different algorithms that are considered key to the 'data scientists' armory. What techniques have others have been using to tackle the problem? I'm particularly interested in why that approach was selected. For example, I chose Random Forests as they are relatively easy to implement and interpret. I also believe that they have been fairly successful in many Kaggle competitions.",0,None,2,Mon Apr 25 2016 16:40:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20414,/competitions/kobe-bryant-shot-selection,30th
/yehjames,Apr_23,could I ask what is the meaning of : sum_and_count <- function(x){ sum(x)*0.8456 + length(x) *(1-0.8456) } Thanks!,0,None,9,Mon Apr 25 2016 17:09:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20415,None,None
/chechir,team up?,"Hi there, Someone around 50 wants to team up? So, we can try to get the top 10 in the last week :).",1,bronze,18,Mon Apr 25 2016 17:49:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20416,/competitions/santander-customer-satisfaction,2367th
/asimkievich,in memory of Lucas,"Hi Folks, Apologies if you have already seen this, but yesterday was a very sad day for us Brazilian kagglers and the overall kaggle community. Lucas Eustaquio (Leustagos) passed away after a long battle with cancer. Lucas was one of the best data scientists in the world, was ranked number 1 and won countless competitions. Here are two links with additional information: [Link]:https://www.kaggle.com/users And a post by Gilberto, currently #2 in the world ranking, who was also his friend: [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/20388/data-scientist-hero Rest in peace Lucas.",28,gold,3,Mon Apr 25 2016 19:04:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20418,/competitions/home-depot-product-search-relevance,98th
/lorenzol,MatConvNet,"Is anybody using MatConvNet for this competition. I am using this CNN toolbox which works very well. Using the training images split between 80% training and 20% validation I get very good results. See attached plots. Validation error is less than 0.1. But when I run the trained network against the test data I get terrible results (7.95484). Does anybody have any ideas, I'm not sure if I am running the test images correctly? Lorenzo [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/116716/4122/net-train.pdf",0,None,2,Mon Apr 25 2016 20:17:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20420,/competitions/state-farm-distracted-driver-detection,456th
/yukatherin,setting up local validation,Re: splitting into train and validation set Wondering if anyone has found a best way to do this--also to help us understand the data. The validation set should contain bookings records only and that user_id should have at least one record (whether click or booking) in training? Is anyone willing to share their method for splitting the data? Thanks!,0,None,2,Mon Apr 25 2016 22:24:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20422,/competitions/expedia-hotel-recommendations,667th
/jpbarddal,Implementing XGBoost,"Thanks for sharing… I wanted to learn how to use XGBoost for quite some time :) Just one question: why i starts with value 5 at line 31? Cheers,",0,None,4,Tue Apr 26 2016 01:19:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20424,None,None
/asimkievich,congrats to the winners,"Hi folks, congrats to the winners, this was a very difficult competition. Very interested in learning more about the models of the folks in the top 10-20, especially the ones who scored below 0.45 or 0.44. Well deserved!",6,bronze,47,Tue Apr 26 2016 02:18:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20427,/competitions/home-depot-product-search-relevance,98th
/sushize,Congrats to the winners and insights sharing,"Congrats to the winners and all other top finishing teams! This competition is indeed a very challenging and interesting one, and you guys were doing a really amazing job. And thanks to home depot and kaggle for hosting such an awesome competition, I learned a lot! Thanks to all my team collaborators for all your hard work and creative ideas! Finally, did any other top teams figure out the funny public/private LB split? Inspired from Ben'S post [Link]:https://www.kaggle.com/c/home-depot-product-search-relevance/forums/t/20288/trends-in-relevances-by-row-ids, and after some public/private LB split submission test, we found that the public/private split seems to be: last 20k records of the test set (id range in [220k-240k] all belong to the private LB, all other records seems are split randomly for public/private. Such kind of split is a bit funny (i haven't seen such split in all other past competitions) and not sure why kaggle or sponsor do such kind of split. I guess this public/private split contributes to the mild private LB shaking among the top teams, and without such kind of a split of last 20k records all belong to the private LB, the shaking probably would be much less (since local cv also correlates with public LB score very well). Anyway, congrats, and see you in the next competition! Best regards, Shize",4,bronze,6,Tue Apr 26 2016 02:26:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20428,/competitions/home-depot-product-search-relevance,5th
/nooreen,basic tensorflow model,"Thanks for posting this. I spent forever just figuring out how to read data into tensor flow, and this is a great example.",2,bronze,4,Tue Apr 26 2016 04:41:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20433,None,None
/carloshuertas,Kaggle Users With Most Awful Forum Karma,I see one guy dominates the LB :/,0,None,3,Tue Apr 26 2016 04:59:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20434,None,None
/losemyrice,Same data for years prior to 2014,"I am having trouble locating data for years prior to 2014. Can anyone point me in the right direction? I understand it wouldn't be in the exact same format, but I can't seem to locate it through the obvious sources. Edit: I'm sorry, I found it. New to this.",0,None,2,Tue Apr 26 2016 05:07:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20435,None,None
/kumareshd,Under 23 year olds are always happy,"Great idea. But what I do not understand is xgboost is a tree based method, so isn't it supposed to identify the fact that whenever age is less than 23, Target=0? Why do we have to create an extra condition like that?",2,bronze,26,Tue Apr 26 2016 05:46:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20437,None,None
/gwebber,Detecting Tone of an article,"Hi, Can anyone help point me in the right direction pls? I have collected world Event articles relating to events such as natural disasters. I'd like to be able to identify the tone of each article, such as whether it is Severe or not. Any guidance would be appreciated. Gavin",1,None,1,Tue Apr 26 2016 06:46:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20438,None,None
/xameleoh,Многослойное нейросетевое разочарование,"Так вдохновился рассказами про нейронные сети, про многослойные нейронные сети, которые мимикрируют под человеческую нервную систему, что решил попробовать MPLClassifier из dev-версии scikit-learn'а. Сначала пробовал обучиться на параметрах по умолчанию. Работало это все достаточно долго. Я подумал, ну да, это как научиться ходить, но в результате наверное получу 100% предсказание. Но у классификатора было другое мнение, он выругался результатом на что-то вроде 0.6 по нашим замерам. Примерно как SVC с rbf-ядром: работает 2 дня, а результат тянет разве что на ""помощника заместителя министра какого-то там сойдет"". Углубившись в суть параметров, выставил early_stopping и стал играть с параметром hidden_layer_sizes и в итоге обнаружил, что лучшее предсказание у него на значениях (10,) или (12,10) или что-то около этого. При попытке увеличить количество скрытых слоев, я получаю ухудшение и без того далеко не выдающегося результата. В связи с чем мой вопрос: какого черта? У нас что, задача, которая не попадает под специфику нейросетевой модели или его нужно как-то по-особенному готовить? Если кто-то поделится своим опытом в работе с этой вундервафлей, я был бы очень признателен.",0,None,4,Tue Apr 26 2016 07:47:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20439,/competitions/dota-2-win-probability-prediction,15th
/pixixi,Dummy all categorical variables?,"In the book of variables. [1] ""date_time"" ""site_name"" ""posa_continent"" ""user_location_country"" ""user_location_region"" [6] ""user_location_city"" ""orig_destination_distance"" ""user_id"" ""is_mobile"" ""is_package"" [11] ""channel"" ""srch_ci"" ""srch_co"" ""srch_adults_cnt"" ""srch_children_cnt"" [16] ""srch_rm_cnt"" ""srch_destination_id"" ""srch_destination_type_id"" ""is_booking"" ""cnt"" [21] ""hotel_continent"" ""hotel_country"" ""hotel_market"" ""hotel_cluster"" Actually we have over 80% categorical variables presented in numeric format. And some of them have more than 100 categories. It's inefficient to set them into dummy variables. While numeric format will apparently create errors. Is anyone have a good solution on that? Or any pkg can handle such problem?",0,None,3,Tue Apr 26 2016 09:52:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20440,/competitions/expedia-hotel-recommendations,None
/beiwenwu,Is there any restriction on using external public data source?,Hi Just for clarification of the rule. Is that OK for us to use external public data source to improve the performance of our predictive model?,0,None,1,Tue Apr 26 2016 10:00:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20441,/competitions/melbourne-datathon-2016,3rd
/domcastro,To the women in Team Women Power,"Gender segregation is patronising - being called Women Power and then having the number 1 kaggler, who is male, helping out, makes you look silly.",6,bronze,18,Tue Apr 26 2016 10:15:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20442,/competitions/home-depot-product-search-relevance,202nd
/thewinner,Unable to download the dataset,I am planning to try CNN on this dataset. But I am unable to download the dataset now. How can I download the dataset?,0,None,4,Tue Apr 26 2016 10:57:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20443,/competitions/diabetic-retinopathy-detection,None
/sudalairajkumar,Is there a deadline for Public Scripts as well.?!,"I am aware that there is a deadline for new entrants and team mergers. Similarly, is there a deadline for public scripts as well (especially those high scoring ones which push me down the leader board daily when I wake up ;)) ?",12,silver,13,Tue Apr 26 2016 12:53:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20447,/competitions/santander-customer-satisfaction,291st
/xiaozhouwang,Did we just move up one place?,What happened there?,1,bronze,15,Tue Apr 26 2016 15:40:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20450,/competitions/home-depot-product-search-relevance,5th
/inversion,Suggestion for Accepting Rules,"Perhaps a more explicit ""checkbox"" method can be used, to ensure people know about the most common issues associated with rules, e.g., I understand I must make 1 submission at least 7 days before contest deadline I do not have, and will not create, multiple kaggle accounts I will not share information privately outside of my team I have read and understand the competition rules I understand and accept This can be added the the dialog box below, and validated that all boxes are checked. [Image]:http://i.imgur.com/vAJHFy7.png",19,gold,7,Tue Apr 26 2016 16:33:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20451,None,None
/dotank,Is this a classification problem?,"What does the ""hotel_cluster"" mean? how was it determined? Is that the ""target column""?",0,None,1,Tue Apr 26 2016 17:45:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20453,/competitions/expedia-hotel-recommendations,1161st
/del=f9d4917a56306047,Is this coding competition?,Is this now codin competition or do I need to watch myself what they're doing?,-2,None,1,Tue Apr 26 2016 18:02:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20454,/competitions/state-farm-distracted-driver-detection,None
/john316,How large is the uncompressed train data set?,How many GBs is the uncompressed train data set?,0,None,2,Tue Apr 26 2016 20:06:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20458,/competitions/expedia-hotel-recommendations,1618th
/abhijayvuyyuru,(Hyper) Parameters tuning,"Hi, I have been breaking my head over these things so I thought I might as well as the people with experience. I am trying to train a CNN, starting off from the script shared by ZFTurbo: 1)What should be the size of the images i.e how much should I downsample by? 24 x 32 or 48 x 64? 2) What optimizer is preferred? I have been using SGD with lr=0.1 3)How many layers in the CNN would be 'optimal'? At present, I am getting a LB score of 1.5",0,None,4,Tue Apr 26 2016 21:23:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20459,/competitions/state-farm-distracted-driver-detection,432nd
/phdstudent,search queries logs,"hi i can not find the dataset about search queries and sessions, i don't understand how i can convert the information found in the files found in the following link [Link]:https://www.kaggle.com/c/yandex-personalized-web-search-challenge/data, to real data i think that there is an other file that a i can not find",2,None,1,Tue Apr 26 2016 21:31:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20460,/competitions/yandex-personalized-web-search-challenge,None
/inversion,Leader Board Visualization,Discuss . . . [Image]:http://i.imgur.com/WUr3Zsa.gif,25,gold,18,Tue Apr 26 2016 22:35:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20462,/competitions/santander-customer-satisfaction,1376th
/optimism,Public/private test split,"Is the public/private testset split also time based, or is it random/stratified?",0,None,3,Tue Apr 26 2016 23:02:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20463,/competitions/expedia-hotel-recommendations,72nd
/abhishek,cannot submit anymore,"I'm so frustated, I downloaded data on 2nd March and I've been working 10hours a day on this dataset and have an awesome model that will beat 0.85 and now I cannot submit my model anymore even with 6+ days to go … so disappointed! :P",7,silver,4,Tue Apr 26 2016 23:22:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20464,/competitions/santander-customer-satisfaction,2134th
/shahnawazakhtar,How correct is this feature dictionary,"I compiled dictionary of possible meanings of words… Can anyone tell how much of it is correct saldo = balance medio = medium comer = commercial corto = short largo = large hace = ago compra = purchase venta = sale recib = receive trasp = leasehold reemb = repaid, reimbursed ult = last, late, overseas, trans = transaction,elapse,trans atlantic, aport = payment, remittance, financial contribution amort = amortization, amortized emit = give off, send out meses = months vig = validity, active efect = real/actual cash/money, result op = option, operating ent = open/start imp = prevent,keep from,restrained from sal = salay, wage,payment ind = excessive,indefinite, reimburse, undue, unduly",0,None,3,Wed Apr 27 2016 00:12:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20465,/competitions/santander-customer-satisfaction,2479th
/zhugds,VGG_16 Keras,"I was trying to learn how to use pre-trained [Link]:https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3 model in this competition. Here is the code after the changes: def VGG_16(weights_path=None): # dimensions of the generated pictures for each filter. img_width = 120 img_height = 120 # path to the model weights file. weights_path = 'vgg16_weights.h5' model = Sequential() model.add(ZeroPadding2D((1, 1), batch_input_shape=(1, 3, img_width, img_height))) model.add(Convolution2D(64, 3, 3, activation='relu', name='conv1_1')) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(64, 3, 3, activation='relu', name='conv1_2')) model.add(MaxPooling2D((2, 2), strides=(2, 2))) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(128, 3, 3, activation='relu', name='conv2_1')) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(128, 3, 3, activation='relu', name='conv2_2')) model.add(MaxPooling2D((2, 2), strides=(2, 2))) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(256, 3, 3, activation='relu', name='conv3_1')) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(256, 3, 3, activation='relu', name='conv3_2')) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(256, 3, 3, activation='relu', name='conv3_3')) model.add(MaxPooling2D((2, 2), strides=(2, 2))) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(512, 3, 3, activation='relu', name='conv4_1')) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(512, 3, 3, activation='relu', name='conv4_2')) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(512, 3, 3, activation='relu', name='conv4_3')) model.add(MaxPooling2D((2, 2), strides=(2, 2))) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(512, 3, 3, activation='relu', name='conv5_1')) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(512, 3, 3, activation='relu', name='conv5_2')) model.add(ZeroPadding2D((1, 1))) model.add(Convolution2D(512, 3, 3, activation='relu', name='conv5_3')) model.add(MaxPooling2D((2, 2), strides=(2, 2))) assert os.path.exists(weights_path), 'Model weights not found (see ""weights_path"" variable in script).' f = h5py.File(weights_path) for k in range(f.attrs['nb_layers']): if k >= len(model.layers): # we don't look at the last (fully-connected) layers in the savefile break g = f['layer_{}'.format(k)] weights = [g['param_{}'.format(p)] for p in range(g.attrs['nb_params'])] model.layers[k].set_weights(weights) f.close() print('Model loaded.') model.add(Flatten()) model.add(Dense(4096, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(4096, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(10, activation='softmax')) sgd = SGD(lr=0.1, decay=1e-6, momentum=0.9, nesterov=True) model.compile(optimizer=sgd, loss='categorical_crossentropy', metrics=['accuracy']) return model copy But It seemed that it didn't work for me from the output since the losses are very high. Epoch 1/10 18807/18807 [==============================] - 118s - loss: 14.5545 - acc: 0.0961 - val_loss: 14.6877 - val_acc: 0.0887 Epoch 2/10 18807/18807 [==============================] - 121s - loss: 14.5446 - acc: 0.0976 - val_loss: 14.6877 - val_acc: 0.0887 Epoch 3/10 18807/18807 [==============================] - 120s - loss: 14.5677 - acc: 0.0962 - val_loss: 14.6877 - val_acc: 0.0887 copy Did anyone else have the same issue? Any idea how to solve this?",1,bronze,17,Wed Apr 27 2016 01:08:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20466,/competitions/state-farm-distracted-driver-detection,17th
/zfturbo,How to generate next best script in LB,Check variables from here: [Link]:https://www.kaggle.com/zfturbo/santander-customer-satisfaction/feature-ranges Fork code from here: [Link]:https://www.kaggle.com/zfturbo/santander-customer-satisfaction/to-the-top Try new limit on variable: var38 = test['var38'] .... preds[var38 > 3988596]=0 copy Profit! ) Don't forget to fork latest successful script. For now it's [Link]:https://www.kaggle.com/sv/219762 (0.842316),4,bronze,21,Wed Apr 27 2016 01:10:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20467,/competitions/santander-customer-satisfaction,794th
/narsil,Where is the winners team and what happened to sky account,"I see sky account is missing, while other teammembers of the winning team are still on Kaggle. Dear competition admins, could you refer to that? I am asking because I learned a lot from sky in this competition (especially from his paper on entropy-based term weighting) and I think he deserves a credit for that.",9,silver,21,Wed Apr 27 2016 04:27:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20469,/competitions/home-depot-product-search-relevance,12th
/del=2f673c1a2e89cd70,Logistic Regression on Unbalanced Dataset,"Can any one explain why logistic regression is not affected by unbalanced dataset ? I have not seen people using SVM for classification for this problem. Does the unbalanced dataset is the reason not to use SVM ? I am newbie to Machine Learning , so answers to above questions would help me understanding more.",0,None,11,Wed Apr 27 2016 05:39:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20470,/competitions/santander-customer-satisfaction,3388th
/jturkewitz,AUC Metric,"Are there any good ways to adjust for the fact that xgb (and other models) have the objective function to minimize log loss? Thinking about it it seems that for any 1 entry you are always best off just trying to get the probability as accurate as possible, but this is not necessarily true in aggregate. Specifically predicting a few unhappy customers wrongly seems to have a much greater effect than predicting happy customers wrongly. Any thoughts about how to control for this, or if it matters?",0,None,3,Wed Apr 27 2016 07:34:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20471,/competitions/santander-customer-satisfaction,122nd
/liviux,To the TOP!,"Thanks for sharing the script! Could you perhaps explain a bit about the reasoning behind the ""limit vars in test based on min and max vals of train"" step?",0,None,4,Wed Apr 27 2016 10:17:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20473,None,None
/shahnawazakhtar,Is everyone getting a dip to 0.82 range during 10 fold cv,"During 10 fold CV, in one of fold ROC score goes down to range 0.815-0.827 … The same thing is observed whether we use xgboost, logistic reg or any other classifier…Is anyone else observing thing..what could be the possible reason for it…",0,None,15,Wed Apr 27 2016 10:50:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20475,/competitions/santander-customer-satisfaction,2479th
/amitmac,Customer Lifetime Value using Machine Learning,"Hi, I am looking for a dataset related to customer lifetime value which also has marketing actions taken for individual customers? I want to use machine learning to predict the optimal marketing action to be taken for a customer to increase his lifetime value based on his RFM and other informations. Thank you",15,None,15,Wed Apr 27 2016 13:44:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20478,None,None
/salimali,New Data Set Released,"Hi all, Please check your email for news of the new data set released today. If you did not receive the email, then send me a message via the meetup group. [Link]:http://www.meetup.com/Data-Science-Melbourne/members/5209164/ Cheers.",1,bronze,2,Wed Apr 27 2016 13:56:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20479,/competitions/melbourne-datathon-2016,51st
/canivel,To the TOP v3,Tks! can you explain how did you get the params magic numbers?,1,None,33,Wed Apr 27 2016 15:26:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20480,None,None
/inversion,[OT] Slightly Personal (you can safely skip),"Since Kaggle is my favorite group of folks, I'd thought I'd share that today is my 25th wedding anniversary. That means I've been married for longer than probably 95% of the people here have been alive. :-) I'm fortunate to have a wife that supports and [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/16635/want-to-become-a-kaggle-master/93314#post93314 my Kaggle addiction. What do you get a special person like this after 25 years (Silver Anniversary)? It can only be the best of the best. Here's what I decided. Do you think she'll like it? [Image]:http://i.imgur.com/wlQk3Mr.png",30,gold,24,Wed Apr 27 2016 15:28:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20481,None,None
/benjaminbossan,Getting started with nolearn/lasagne,"During our internal hackathon at Otto Group, we played a little bit with the State Farm dataset. We thought it would be nice to share our efforts with the community. Check out our repo at [Link]:https://github.com/ottogroup/statefarm. We use nolearn/lasagne and get a local CV score of < 0.9 when splitting on drivers. We're sure you can improve on that ;)",6,bronze,2,Wed Apr 27 2016 15:31:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20482,/competitions/state-farm-distracted-driver-detection,None
/cherryman,How do You control verision of Your algorithms?,"Hey Kagglers I wonder how do you handle with the problem of version control of Yours algorithms? Do You Use standard SVN or GIT or something else? When I try to find the best solution I make a lot of changes in the project. Some of them are big, some are small (e.g. change one parameter). To fully control efficiency of the model with respect to parameters, each change should be commit with proper score. Of course it is hard to do that, and requires to have a remote repo. I think this solution is ok for control submissions i.e. one submission and one commit. I found also very interesting feature on my PyCharm IDE. It stores all changes in its personal history, so I can see all my historical changes in a file. It is ok, but it produce a lot of ""time stamps"", so sometimes I have to search for the proper version. It has also fine feature that allow You to make labels. It is irritating when you reach a good score, than change something in a project and after that You can't reproduce that good version. What is Your solution for controlling scores of Your model?",3,bronze,3,Wed Apr 27 2016 17:29:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20484,None,None
/leongao,CNT features in test,"After a half-day exploration into the correlation of 'cnt' with other features, I still have no clues about how this column are aligned with others. Is there anyone have an insight into how to generate cnt for testset?",0,None,2,Wed Apr 27 2016 18:24:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20485,/competitions/expedia-hotel-recommendations,1630th
/ximengyu,Does anyone still have the codes?,"It's been for years since the competition, bumping into this topic I began trying to work on it. Could anyone be generous enuf to share their codes from years ago, either R or Python? It would be real nice to learn from (as I can't find any from the site!) Thanks so much, if anyone can see this..",2,None,2,Wed Apr 27 2016 18:26:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20487,/competitions/dsg-hackathon,None
/remap1,Fun data fact...,I ran a check across all images and it flagged these two images as being the same driver: c2/img_12740.jpg and c2/img_55903.jpg Amazing… Check the details! :),1,bronze,6,Wed Apr 27 2016 21:25:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20489,/competitions/state-farm-distracted-driver-detection,652nd
/manels,GLM,"I introduce [Link]:https://www.kaggle.com/manels/santander-customer-satisfaction/generalized-linear-model/code a simple script using 21 features (three of them new) that uses linear_model.LinearRegression and [Link]:https://www.kaggle.com/manels/santander-customer-satisfaction/generalized-linear-model/log in 10-fold cv: Score: [ 0.81531876 0.8032346 0.79476904 0.80801009 0.81748615 0.81123828 0.8137655 0.84257093 0.82045505 0.81359869] AUC 0.814044710051 + 0.0118375843682 copy Script: import pandas as pd import numpy as np from sklearn import linear_model from sklearn.cross_validation import cross_val_score np.random.seed(8) train = pd.read_csv(""train.csv"") test = pd.read_csv(""test.csv"") target = train['TARGET'] train = train.drop(['ID','TARGET'],axis=1) test = test.drop('ID',axis=1) print('Percentile 25:', np.percentile(train.var15, 25)) print('Percentile 50:', np.percentile(train.var15, 50)) print('Percentile 75:', np.percentile(train.var15, 75)) train['var15_1'] = train['var15'].map(lambda x: x if x < 23 else 23) test['var15_1'] = test['var15'].map(lambda x: x if x < 23 else 23) train['var15_2'] = train['var15'].map(lambda x: x if x < 28 else 28).map(lambda x: x if x > 23 else 23) test['var15_2'] = test['var15'].map(lambda x: x if x < 28 else 28).map(lambda x: x if x > 23 else 23) train['var15_3'] = train['var15'].map(lambda x: x if x > 40 else 40) test['var15_3'] = test['var15'].map(lambda x: x if x > 40 else 40) selected_features = ['saldo_var30', 'var15', 'num_var30', 'ind_var8_0', 'num_med_var22_ult3', 'ind_var30_0', 'imp_op_var39_efect_ult1', 'var38', 'ind_var30', 'num_var5', 'saldo_var5', 'num_var22_ult1', 'num_meses_var5_ult3', 'num_var43_recib_ult1', 'num_var14', 'ind_var31_0', 'saldo_medio_var8_hace2', 'saldo_var26', 'var15_1', 'var15_2', 'var15_3'] len(selected_features) X_train = np.array(train[selected_features]) y_train = target score = cross_val_score(linear_model.LinearRegression(), X_train, y_train, cv=10, scoring='roc_auc') print('Score:',score) print('AUC',score.mean(),'+',score.std()) copy",4,bronze,7,Wed Apr 27 2016 21:28:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20490,/competitions/santander-customer-satisfaction,1260th
/nhlx5haze,last 20k rows,"Congrats to the winners ! We noticed that about the last 20k rows were not taken in account to calculate the final score. Indeed, modifying the relevance of the last rows has no impact and you'll get exactly the same score. Does anybody know why it is so ?",4,bronze,5,Wed Apr 27 2016 21:41:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20491,/competitions/home-depot-product-search-relevance,7th
/hagroth,Possible to try out new submissions?,"Hello, I found this data set so interesting that I wanted to experiment on it for my bachelor's thesis and see what score different algorithms would get. However, there seems to be no way to try it out as of now? There's also no key/""right answer""/sku in the test data, so it's impossible to in any way see how well they perform? Thanks in advance!",0,None,3,Wed Apr 27 2016 22:08:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20492,/competitions/acm-sf-chapter-hackathon-small,None
/hookemhorns,Can I trust my CV in this competition?,"Hi guys, I am sort of new to Kaggle and classification problems. I have read some places in the forum that ""trust your CV"". My question is, in this competition that the data is highly imbalanced, can we trust the AUC that we get from CV for our model? I ask this because when I use the set of parameters that are in the scripts in my own XGB model in my laptop, the AUC that I get from CV is ~0.82 which is in contrast with the LB score which is ~0.84. On the other hand when I used another set of parameters that I came up with I get ~0.84 in CV and ~0.837 in LB. What is happening? Thanks.",0,None,9,Wed Apr 27 2016 22:50:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20494,/competitions/santander-customer-satisfaction,2069th
/shahnawazakhtar,how to prevent overfit from stacked model,"hi guys, i made 3 level deep stacked model which is giving cv around 0.8416-0.8425 with 10 fold. I think it is overfit because it is giving very low score on lb. what steps can i take to prevent overfit . What should i add to ensemble to.. any suggestion",1,bronze,1,Thu Apr 28 2016 01:33:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20495,/competitions/santander-customer-satisfaction,2479th
/mrisdal,Worst World Series Winners since 1900,"Thanks for sharing your script! I don't know a lot about baseball, but being from Minnesota I'm not too surprised to see the Twins are outliers (in the less desirable direction). :) If you were going to map another discrete or continuous measure to either color or size on your plot, what do you think could potentially add some more insight into other influencing factors? Could you add a link to Nel Abdiel's script, too, so we can check it out?",0,None,3,Thu Apr 28 2016 01:44:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20496,None,None
/wilmerjpg, There a description of each column?,I need a description of each column of the data. I do not recognize the meaning of each column. Please Help Me! :),1,None,1,Thu Apr 28 2016 03:33:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20499,/competitions/marriage-prediction,None
/tonyzhangrt,set the xgboost paramerter tree_method and sketch_eps in python package,Is there a way to set the xgboost paramerter tree_method and sketch_eps in python package ? It seems to be available for R package,0,None,1,Thu Apr 28 2016 08:01:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20502,/competitions/santander-customer-satisfaction,None
/hitzzc,Is this competition a 100 classifications issue?,"Is this possible to train a logistic regression or any other classification model to get a good result? Or just make some regulations…(for example ,most popular..)",0,None,21,Thu Apr 28 2016 12:07:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20503,/competitions/expedia-hotel-recommendations,729th
/gau2112,Handling Large Dataset ,"Ever Since I started learning Data Science, this question has been bothering me for months. I searched it on various Platforms. But I could not get satisfactory answers. My question is, like other Kaggle Competition, this competition's dataset is also very large. The train file is itself 511MB. How should I handle this? I mean to ask that, loading the dataset itself will take around 1GB of my RAM. So, Suppose I need to apply Random Forest Algo. How would I be able to do it as it requires huge memory. So, How do other Kagglers handle these types of huge dataset? Do they take samples? Do they have larger RAM? Do they use optimized code? Is Handling these types of Huge dataset also an art which I need to master? I would really appreciate if someone can give me a generalized answer. Thanks in advance. :) My System Specification - Ubuntu 14.04 with 6GB RAM.",0,None,4,Thu Apr 28 2016 12:45:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20504,/competitions/expedia-hotel-recommendations,None
/singhpranay,Simple feature descriptors,"Hi, I know the contest has ended, nevertheless I want to give the problem a shot. I directly don't want to dive into deep learning techniques for feature extraction. But I am clueless on what would be some good feature descriptors (combinations as well) like SIFT or HOG , that would be useful for say training 9 binary classifiers for predicting the labels. May be there could be some feature descriptor suiting a particular label and some other kind of descriptor suiting another label. I am amazed this hasn't been discussed on the contest's forum till now. Any kind of help would be really appreciated. I am a little new in this field. Thanks, Pranay",0,None,1,Thu Apr 28 2016 22:37:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20519,/competitions/yelp-restaurant-photo-classification,None
/manels,Stacking models,"I am quite new in ML and I need some help in stacking models. The way I proceed is the following: A- Standard way (?) 1.- Predict the target for train using CV for different models (say Logistic Regression, Random Forests and Extra Trees) and with different seeds. The prediction of every model will be the mean (or geometric mean) of the predictions for the differents seeds of this model (in order to reduce the variance of the prediction). 2.- Make a model with these predictions to predict the target again. To do this I compared Logistic regression vs others (Boosting, Extra Trees,…). I always get best scores with the second ones. Is it standard this situation? Which ones are more prone to overfit? Here, I have my first doubt is there any standard way to stack the models. For example, in this contest boosting seems to be the best model. It would be reasonable to stack LR, RF and ET to obtain a better model and then stack with xgb. Is it correct? Or I have to stack all together? B - An alternative way to stack would be train a new model, say boosting in this contest, with the predictions of the inferior models + all features. In this way you add information that has been captured by the inferior model and then you can improve the best one. Is it correct? Can I do something else?",0,None,4,Fri Apr 29 2016 14:19:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20533,/competitions/santander-customer-satisfaction,1260th
/breakfastpirate,It's time to play the LB shake-up prediction game!,Make your guess on how big you think the LB shake-up will be. Where do you think this competition will fall in the spectrum of shake-ups? What will be the biggest rank jump up? What will be the biggest rank drop down? Will it be you? Will it be me? [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/117513/4146/shakeup20160429c.jpg?sv=2012-02-12&se=2016-05-03T01%3A45%3A13Z&sr=b&sp=r&sig=eyVa6cdGHfMI8ehyZEcIQB7fmBKX%2B%2BdyqQ4Sfi%2BRAuw%3D shake-up = mean[abs(private_rank - public_rank) / number_of_teams] [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/117513/4146/shakeup20160429c.jpg,13,gold,76,Fri Apr 29 2016 15:46:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20535,/competitions/santander-customer-satisfaction,7th
/wcukierski,Welcome!,"Welcome to Draper's Satellite Image Chronology competition! This one is a little different than our standard fare here on Kaggle. We expect this to be a challenging task for machine and man alike. As such, we are running the competition under rules that reward the best combination of analyst(s) + machine. Good luck!",3,bronze,34,Fri Apr 29 2016 16:08:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20536,/competitions/draper-satellite-image-chronology,None
/triskelion,Outsourcing analysis,"Is outsourcing analysis, for instance to Amazon's Mechanical Turk, allowed? If not allowed, are we on the honor code? I do not think this can be checked.",3,bronze,1,Fri Apr 29 2016 16:42:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20538,/competitions/draper-satellite-image-chronology,None
/andreaw,Estimate Age by logistic regression,"Hello, I'm completely new to data science and I am practicing with Titanic. I am asking for a hint: since age seems to be a really important factor for survival, would it be worth to estimate it by logistic regression (maybe adding ""survived"" to the features)? I'm wondering if this approach would leed to overfitting, to redundant data or to good results.",0,None,1,Fri Apr 29 2016 16:49:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20539,/competitions/titanic,None
/agrigorev,Public vs Private Leaderboard,[Link]:https://www.youtube.com/watch?v=4cjIqCOhy1s,6,silver,1,Fri Apr 29 2016 17:47:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20540,/competitions/santander-customer-satisfaction,667th
/triskelion,Reverse engineering location,"Are we allowed to reverse engineer the locations? Location + External data may give valuable information to use for classification, for instance, one could look at the busiest day for a certain location, or employ Google Maps for more context surrounding a location.",5,silver,7,Fri Apr 29 2016 17:54:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20541,/competitions/draper-satellite-image-chronology,None
/dichotomy42,Challenging Task!,"I mean, as a human being myself, I have difficulty figuring out which one is taken before another one! Any thoughts?",1,bronze,19,Fri Apr 29 2016 18:36:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20542,/competitions/draper-satellite-image-chronology,125th
/valerioorfano,Feature ranges,Why do u consider only variables that satisfy this condition? if mn0 != mn1 or mn1 != mnt or mx0 != mx1 or mx1 != mxt:,0,None,8,Fri Apr 29 2016 19:11:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20543,None,None
/dwindsor,Error when creating ggplot,"Does anyone know why I get this error when creating the ggplot for the train data set? ggplot(train, aes(x = Pclass, fill = Survived))+geom_histogram(width = 0.5) + xlab(""Pclass"")+ylab(""Total Count"")+labs(fill = ""survived"") Error: StatBin requires a continuous x variable the x variable is discrete. Perhaps you want stat=""count""?",0,None,4,Fri Apr 29 2016 19:21:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20544,/competitions/titanic,None
/outliar,Is there a flaw with this approach,"Lets assume 5 recos were performed on five different days. If we are able to recognize the time of the day via shadows (camera settings,image brightness ) etc then we know the day a picture was taken in each set. Now there are 5! combinations for ordering these days. We can then manually browse pics and look at set which dictates the order. If there are more than five recos and images are jumbled up then the manual process of ordering may become a bit more complex. Problem solved!",0,None,1,Fri Apr 29 2016 19:37:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20545,/competitions/draper-satellite-image-chronology,None
/smallyellowduck,Welcome!,"Hello fellow Kagglers! I've been working industriously to prepare this competition and I hope that a few of you are excited about it as I am! I'm looking forward to learning more about neural networks and hopefully coming up with some improvements for the current tools, especially: as the images in this data set are all different sizes, I'd like to see a solution which is able to accept input images of different dimensions instead of first resizing all the images so that they have the same width and height. I'd also like to see some strategies for identifying the ""interesting"" parts of an image for the algorithm to focus on. Finally, I'm curious to see if the pairwise-comparison formulation allows us to train an algorithm which can extrapolate an understanding of artistic style to images by artists whose work it has never viewed before. Strategies we may want to consider? (Please feel free to share your own!) Data augmentation augment the data set by flipping the images left-to-right and labeling the mirrored images as belonging to a new artist augment the data set by making small adjustments to the colour balance in the images augment the data set by converting the images to greyscale augment the data set by decreasing the resolution of the images augment the data set by cropping the images randomly (or developing a scheme to crop the images) Other strategies that might be interesting siamese neural networks which examine several images simultaneously Leakage I've identified two possible sources of leakage and I'm curious to see how significant they will be as the competition progresses: Some artists sign their paintings. Works by a single artist may have been scanned or photographed at the same resolution. In addition, I've also wondered if the works in the data set are truly high enough resolution - I certainly anticipate that algorithms would perform better with higher resolution images. But hey, let's see what we can do with the data that we do have!",8,silver,11,Fri Apr 29 2016 20:17:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20547,/competitions/painter-by-numbers,None
/anokas,Repeated locations in test set,"Some location sets are repeated in the test set, such as set343 & set8, as well as set27 & set341. Is this intentional?",2,bronze,3,Fri Apr 29 2016 20:36:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20548,/competitions/draper-satellite-image-chronology,89th
/chipmonkey,Channel is different (test v train),"By way of explanation: Running a kolmogorov-smirnov test on the test and train versions of each variable to see if the distributions seem to be the same. The plots are basic R-density plots, train in red, test in blue. The Log shows the results of the k-s tests, and it's clear from the test scores and the plot that ""Channel"" differs fairly significantly between the Test and Train data. Note that I ran on 25% of the data since the memory limit was exceeded with the full train set, but the results are basically identical (I've run the complete data set locally).",15,gold,1,Fri Apr 29 2016 20:37:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20549,None,None
/iglovikov,That weird feeling...,"That weird feeling, when you use all your knowledge, intelligence and computational power but can not beat best performing benchmark :(",21,gold,33,Fri Apr 29 2016 20:38:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20550,/competitions/santander-customer-satisfaction,2407th
/leblancfg,Naive beat the benchmark! (0.09286),"So stupid, it just might work.",2,bronze,1,Fri Apr 29 2016 21:33:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20551,None,None
/piinformatics,Understanding 'is_booking',"I'm starting on this comp and wondering about the column - is_booking 1 if a booking, 0 if a click tinyint copy This is present in train, but absent in test. Are we to assume that in test everyone is booking? Or just looking? Is it better to exclude the people who didn't book in train? Or just drop the column from training since that information isn't available in test?",0,None,2,Fri Apr 29 2016 23:54:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20555,/competitions/expedia-hotel-recommendations,None
/ikleiman,MAP5 function or eval_metric,"Hi, I've done ncdg5 before via a custom function in xgboost. I also see that there is an ""map"" and ""map@n"" eval_metric in xgboost, but simply it doesn't work for me. R crashes I don't know if these is crossing the competition rules, but is there a hint on these? Thanks",1,bronze,25,Fri Apr 29 2016 23:55:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20556,/competitions/expedia-hotel-recommendations,1098th
/aikinogard,How much we can do one single local computer?,"Hello, Kagglers, It will be a nice experience to learn and discuss with kagglers in this competition. One character of this competition is the huge data size. It is my first time to play with data with this size (37,670,293 in train and 2,528,243 in test). I have a Mac with 24G RAM and 2.9GHz quad-core Intel Core i5 processor. I am curious on how much I can go with this single computer. Any people in top 40 using a single computer by far? Any suggestions are appreciated. Thanks,",0,None,16,Sat Apr 30 2016 01:33:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20557,/competitions/expedia-hotel-recommendations,40th
/dusj1993,explore_data,thx for your share. can anyone provide a code to generate all countplot graphic in a loop or use a subplot function?,0,None,8,Sat Apr 30 2016 03:22:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20558,None,None
/selfishgene,[Deleted Kernel],Just to spell out the result in more clear language: There will be a huge shakeup at the end of this competition.,0,None,5,Sat Apr 30 2016 03:39:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20559,None,None
/zyazzy,How to set up a GNU server on Amazon AWS for image processing heavy competitions?,Hi all I am a kaggle noob. Can someone provide a tutorial to set up a GNU server on AWS to train the ANNs?,0,None,1,Sat Apr 30 2016 04:28:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20560,/competitions/draper-satellite-image-chronology,None
/zhugds,Is it normal if testing loss is less than training loss?,I sometimes encountered this when trying different parameters. Is this normal? What are the possible reasons leading to this? Anyone has any idea?,0,None,6,Sat Apr 30 2016 06:21:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20561,/competitions/state-farm-distracted-driver-detection,17th
/orlandol,Noise detection/removal,"Hi peer kagglers! As many have mentioned in their posts/comments the class 1 samples are more ""strange"" as compared to those who do not complain, some of which may introduce noise to your model and lead it to worse results. I'm trying to improve my own models by removing these outliers but I'm not sure how. I'd like to ask: How do you tell if a class-1 sample is an outlier? I'm thinking of clustering them. Please share if you have better tricks. How much is the improvement?",1,bronze,1,Sat Apr 30 2016 07:35:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20562,/competitions/santander-customer-satisfaction,1144th
/beedata,Stacking model,"Does any one's stacking model useful for this dataset? For me, there's no any improvement using stacking model.( xgb stack with several models). I think maybe the evaluation method is auc and the severe imbalanced property of data.",1,bronze,2,Sat Apr 30 2016 08:46:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20563,/competitions/santander-customer-satisfaction,None
/del=d155c48030c5d3bf,Leak in the dataset,"After browsing through the training dataset, I noticed that you can do a pretty good job in categorizing the images just by looking at how the pictures were taken instead of focusing on the chronological changes that took place in the images. For example, days 1 and 2 are always taken at a low altitude which makes them appear zoomed in compared to days 3, 4, and 5. Also, the images for days 4 and 5 are always taken at the same angle (as in the slope of straight lines in the image) which makes it easy to differentiate them from day 3. View all images of a few sets next to each other and you'll see what I am talking about. Update: It appears that pictures in the test dataset are taken at different times than the pictures in the training dataset so the pattern I described probably won't help to classify the images in the training set. I am not sure if there is still some pattern in how the pictures were taken in the test dataset so it might have been a false alarm.",9,silver,36,Sat Apr 30 2016 10:05:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20565,/competitions/draper-satellite-image-chronology,None
/valikund,Installing XGBOOST on windows for python?,"Hi, I would like to use xgboost for python on windows, however I seem to be unable to install it. I tried to use pip install, and tried to make a binary with mingw, but unfortunately I always get an error. Can anybody help me?",1,None,6,Sat Apr 30 2016 13:27:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20567,None,None
/scirpus,Plain ol' average,The average might make an interesting feature!,0,None,1,Sat Apr 30 2016 15:56:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20569,None,None
/remap1,Use of patented imaging algorithms allowed?,"A lot of the data is rotated or scaled differently and most opensource algorithms are not nearly as sophisticated as certain patented ones. The ones that are freely available use simple feature generators and these are not invariant to rotation and scale and probably won't deliver as good results. Many patents exclude commercial use, but explicitly allow academic and research use. Are we allowed to use such patented algorithms for this competition, because the current submission rules explicitly prohibit them.",1,bronze,7,Sat Apr 30 2016 16:25:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20570,/competitions/draper-satellite-image-chronology,None
/mafux777,Terminology,"I am still a bit confused about what the different terms mean. I understand that a user searches for a destination. There seem to be about 65k of those. Then, she will be offered a choice of hotel clusters, maximum 100. We don't know anything about the hotel clusters. However, for the destinations we have some ""features"". For each destination ID, the hotel clusters are different. So the list of 100 hotel clusters is only relevant in the context of the destination. The description: ""srch_destination_id ID of the destination where the hotel search was performed"" should really be: ID of the destination FOR WHICH the hotel search was performed. orig_destination_distance Physical distance between a hotel and a customer at the time of search. A null means the distance could not be calculated From what I said earlier, this should be: distance between a customer and a DESTINATION. Is my understanding correct?",0,None,5,Sat Apr 30 2016 16:27:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20571,/competitions/expedia-hotel-recommendations,1312th
/remap1,Rules: hand labeling allowed?,"The rules day: Hand labeling and human prediction are permitted. Can you elaborate on this? In the statefarm competition it is allowed to label the train set, use pretrained nets and so on. Is hand labeling for this competition allowed for BOTH train and test or train only?",1,bronze,1,Sat Apr 30 2016 16:28:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20572,/competitions/draper-satellite-image-chronology,None
/anokas,Simple mathematical model (0.713),"Here's a new and original model which runs quickly - just taking 7 seconds. Essentially, what I did was convert the entire dataset into binary features - if the original value was 0, the new value is 1 and all other values are 0. Then using Conditional Mutual Information Maximization I found the correlation of each feature with the target value and used this as a coefficient to compute the final scores. This shows there is significant predictability just with the number of zero-values in the data!",2,None,1,Sat Apr 30 2016 18:25:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20575,None,None
/apartmentguru,KaggleNoobs Slack chat,"Hi Kagglenoobs! This channel is the place to go when you are a noob at all stages (even grandmasters are noobs). Please introduce yourself when you join, be curteous and please try your best by contributing to the conversation with anything you find interesting. Share with us what you think is important (in the right channel of course). Don't be an askhole, if you are stuck after about 24 hrs, go-ahead an ask a code code question. Just remember, you will receive what you put in. Cheers! 🍻 [Link]:https://join.slack.com/t/kagglenoobs/shared_invite/zt-fxut26ky-FMX8Dn2rAhRK1Gxyvy7DwA",55,silver,179,Sat Apr 30 2016 20:15:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20577,None,None
/jameshirschorn,Example Handwritten Digits,"Fixes the original version, which seems to have broke under newer R package verison. Also changed the rendering so that the digit aspect ratio is preserved when plotting.",0,None,12,Sat Apr 30 2016 21:36:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20578,None,None
/remap1,How many animals in shelter at any given time?,"Hi there, I'm trying to work out estimates on how many animals are in the shelter at any given time on the basis of the outcome dates only. I use a very rough estimate with a very wild assumption that an animal is in the shelter for about a week. I see a rather large variation in the number of animals as a result of this. It ranges from 200 to 500. It would be good to get some more background info on this, so I have some questions. What is the maximum number of animals that will be in the shelter? What's a better estimate for the number of days an animal is in the shelter for? Obviously some will be there for a lot longer and some only a couple of hours, but what's the best estimate? If animals are ""checked in"" with a check-in date, would it be possible to add this date list as extra data?",0,None,3,Sat Apr 30 2016 23:01:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20579,/competitions/shelter-animal-outcomes,609th
/francescolr,Creating a pandas data frame from a cvs file,,0,None,1,Sat Apr 30 2016 23:38:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20580,None,None
/darioperalta,Clustering by hand first...,"Hi, First I'd like to thank the community for all the great forum posts and scripts. I've learned a ton in just a few days of lurking. This is my first competition and I'm really just in it for educational purposes and you guys have really jump started me. My scripting skills are still very very rough, so I fear I won't have time to implement an idea I have so I thought I'd post it and see if anyone wanted to comment on it. Maybe even try it out and see. The idea is to: build subsamples (and even subspaces) from the original dataset that contain only a certain type of customer (say high value vs low value customers, young adults vs middle age adults vs senior citizens). train classifiers (and/or ensemble of classifiers) on these new datasets ensemble the classifiers from step 2 The last step could be stacking/blending. The basic notion is that the dynamics that make customers in one segment/cluster unhappy may be completely different from the rest, and that the customers from one segment might be adding noise to the analysis of other segments. I realize this isn't a terribly new idea. But, I wanted to put it out there and hopefully get some feedback. Thanks again and good luck!",2,bronze,6,Sun May 01 2016 00:12:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20582,/competitions/santander-customer-satisfaction,1338th
/raorao,leaderboard results above 1?,"I just submitted my first attempt, and received a leaderboard score of… 13.4? I don't understand how my score is above 1. I assume it's either an issue with my submission format, or on Kaggle's end. Here's what my data looks like: ""shot_made_flag"",""shot_id"" 0,1 0,8 1,17 (…) Any debugging advice would be appreciated. thanks in advance!",0,None,1,Sun May 01 2016 00:31:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20583,/competitions/kobe-bryant-shot-selection,1008th
/alixdbx,"All features like ""Age<23""","I found that people use conditions like these to increase their AUC: preds[var15 < 23] = 0 preds[saldo_medio_var5_hace2 > 160000]=0 preds[saldo_var33 > 0]=0 preds[var38 > 3988596]=0 preds[V21>7500]=0 Where preds are the vector of predictions based on XGB or any other method. I used the following code to find all conditions that make customers happy. Intuitively, the more samples in training data for a condition, that condition should be more important. For example 1212 customers are below age 23, so the fact that they are all happy is worthy. On the other hand saldo_var33>0 has only 48 samples. Why does it increase AUC? In the conditions I found, there are many conditions with 100+ customers; why don't we use them while we use something like saldo_var33>0? # This code finds features like age<23 # that nobody is unhappy under that condition # all those features are saved in magicfeatures.csv import numpy as np import pandas as pd # load data df_train = pd.read_csv('train.csv') df_test = pd.read_csv('test.csv') # remove constant columns remove = [] for col in df_train.columns: if df_train[col].std() == 0: remove.append(col) df_train.drop(remove, axis=1, inplace=True) df_test.drop(remove, axis=1, inplace=True) # remove duplicated columns remove = [] c = df_train.columns for i in range(len(c)-1): v = df_train[c[i]].values for j in range(i+1,len(c)): if np.array_equal(v,df_train[c[j]].values): remove.append(c[j]) df_train.drop(remove, axis=1, inplace=True) df_test.drop(remove, axis=1, inplace=True) y_train = df_train['TARGET'].values X_train = df_train.drop(['ID','TARGET'], axis=1) id_test = df_test['ID'] X_test = df_test.drop(['ID'], axis=1) cols = list(X_train.columns.values) aa1 = ["" ""]*len(cols) aa2 = [0]*len(cols) aa3 = [0]*len(cols) aa4 = [0]*len(cols) mag_feat = 0 for i in range(len(cols)): vt1 = X_train[cols[i]] min0 = min(vt1) max0 = max(vt1) min1 = min(vt1[y>0]) max1 = max(vt1[y>0]) num0 = len(vt1[vt1<min1]) num1 = len(vt1[vt1>max1]) if num0>15: aa1[mag_feat] = cols[i] aa2[mag_feat] = 1 aa3[mag_feat] = min1 aa4[mag_feat] = num0 mag_feat = mag_feat + 1 if num1>15: aa1[mag_feat] = cols[i] aa2[mag_feat] = 2 aa3[mag_feat] = max1 aa4[mag_feat] = num1 mag_feat = mag_feat + 1 submission = pd.DataFrame({""column name"":aa1[0:mag_feat], ""1 means < , 2 means >"":aa2[0:mag_feat], ""threshold"":aa3[0:mag_feat], ""# of customers"":aa4[0:mag_feat]}) submission.to_csv(""magicfeatures.csv"") print ""magicfeatures.csv created!"" copy The code finds 113 conditions where 32 of them have 100+ customers. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/117792/4153/magicfeatures.csv",3,bronze,6,Sun May 01 2016 01:36:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20584,/competitions/santander-customer-satisfaction,2103rd
/cursaner,The Path to Tidier Data,This is so helpful. thank you!,2,bronze,2,Sun May 01 2016 01:56:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20585,None,None
/shushanc,Is it possible to get the labels of testing data?,"Hi, since the competition is completed, is it possible to get the labels of testing data?",0,None,4,Sun May 01 2016 05:49:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20587,/competitions/home-depot-product-search-relevance,None
/innerproduct,Non-serious,"By the way, does anyone else see the Santander logo as a steaming pile of… ? I cannot unsee it, and I apologize if now you can't either.",8,silver,7,Sun May 01 2016 08:31:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20588,/competitions/santander-customer-satisfaction,1201st
/wikunia,This order or the reverse one?,"Hi guys, does anyone have an idea how to determine if the order is 1 2 3 4 5 or the reverse one 5 4 3 2 1 Let's assume that you're sure that 1,2 and 2,3 and 3,4 and 4,5 are groups. Thanks for any ideas and good luck ;)",0,None,4,Sun May 01 2016 10:44:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20589,/competitions/draper-satellite-image-chronology,37th
/del=afe15d65ca56fa7f,does the training set cover all users in test and holdout?,"I noticed that every user that appeared in the test set was also in the training set. Is this also the case with the holdout data set for the private leader board? This would make sense, as it would mean that we're only predicting bookings for users who have some history.",0,None,2,Sun May 01 2016 13:29:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20590,/competitions/expedia-hotel-recommendations,1185th
/vbandaru,SKLEARN AdaBoostClassifier,"Has any one used the AdaBoostClassifier class in Sklearn. ? With 100 estimators and default base estimator , i get a score of 0.81 on the LB. What other options do i have for the base estimator. ?",0,None,2,Sun May 01 2016 16:11:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20592,/competitions/santander-customer-satisfaction,2902nd
/wqsummer,3004nonum4script.R,"Thanks for sharing your code! It is great! But after I checked your code and re-run it, I didn't get the same results as yours. Especially, the number in 'preds' only has 8 digital after '0.' ,such as 0.0224 1019, but the number in your 'preds' has 16 digital numbers after '0,' such as 0.0224 1019 9046 1349. Do you know why is that?",0,None,1,Sun May 01 2016 16:19:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20593,None,None
/gelosoil,"weight lifting monitoring with triaxial sensors ,gyro and magnetic sensors","Hi all, probably it will seem a noobie question (which i am),but i d appreciate some direction as i m stuck for a month on this data set !:) So ,i have a set with measurements from triaxial sensors attached to the body . These came in the form of x,y,z coordinate data ,and readings from the magnet and gyro.Also in the set exist variables with lots of NAs,that represent calculated (by others ) totals,averages variation and min max. Also included are 2 variables named new window and num window ,as well as dates and times,user name The set is from the Velloso paper 2013,Qualitative Activity Recognition of Weight Lifting Exercises. [Link]:http://groupware.les.inf.puc-rio.br/har#weight_lifting_exercises I ve read so far almost 50 papers on activity recognition (referenced in the velloso paper ,plus others,and my questions is as follows: How do i go about deciding which variables to use,for a supervised approach first. Some of the variables are numeric,some are factors(the calculated variables are all factors /characters,and when transformed into numerics,i end up with lots of NAs .Should i keep these variables and use them? As you can probably tell by my ranting i m lost. Any assistance or pointing towards a solution would be appreciated. There have been attempts with success with random forests etc,but what i care about is not what algorithm to use.rather what part of the data to use. I hope i m not intruding , apologies if i shouldn't have posted this question here in advance.:):) Best regards George",1,None,3,Sun May 01 2016 17:18:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20594,None,None
/paulperry,failing to download or unzip train.zip?,I've downloaded train.zip twice now and am unable to get a clean zip file. Unzip reports it is corrupted. I'm on a Mac 10.9.5 . Anyone else seeing the same? Thx. $ unzip train.zip Archive: train.zip warning [train.zip]: 2309009276 extra bytes at beginning or within zipfile (attempting to process anyway) error [train.zip]: start of central directory not found; zipfile corrupt. (please check that you have transferred or created the zipfile in the appropriate BINARY mode and that you have compiled UnZip properly) $ which unzip /usr/bin/unzip $ ls -l /usr/bin/unzip -rwxr-xr-x 2 root wheel 122320 Jun 28 2014 /usr/bin/unzip copy,0,None,3,Sun May 01 2016 18:30:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20595,/competitions/draper-satellite-image-chronology,None
/ajncespedes,Overfitted xgboost,"There is a big difference between public and private test data with the famous scripts. I splitted the original train data into 50% train and 50% test (which are also splitted in public and private 50%-50%). After that, I evaluated some famous overfitted scripts and I got big auc differences. Public: 0.8472518 vs Private: 0.8413685",2,bronze,6,Sun May 01 2016 19:45:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20598,None,None
/nitini,Previous competitions similar to this one?,"Hi all, I'm still learning what the best ways to implement models / CV / feature selection are, and was wondering if anyone could list some previous competitions that had similar data to this one? Just wanted to post here to see if anyone had any that immediately came to mind before I go digging in the archives. Thanks!",2,bronze,3,Sun May 01 2016 20:10:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20599,/competitions/expedia-hotel-recommendations,456th
/abeabe,Downloading issues,Is anyone else having difficult downloading train.zip? Would someone who's gotten it successfully mind making it available as a torrent or through some other mechanism?,0,None,13,Sun May 01 2016 21:00:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20602,/competitions/painter-by-numbers,None
/godaibo,Is it real or am I dreaming? ,Is it real or am I dreaming? on balanced dataset getting Stopping. Best iteration: [131] cv-mean:0.949548 cv-std:0.00585874668053,0,None,11,Sun May 01 2016 21:27:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20604,/competitions/santander-customer-satisfaction,2862nd
/naldershof,Missing Files,"Anyone else having trouble with ""File Not Found"" exceptions? I've looked through a couple other notebooks and saw that the most recent versions don't run based on those exceptions as well. Since this appears to happen inconsistently I'd guess there's separate docker images, one of which is missing the files and the other isn't, but no idea.",1,bronze,3,Mon May 02 2016 02:10:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20607,None,None
/vykhand,PCA and K-Means,"A sample code that fits K-means after applying PCA. K-means is fitted to 0 examples and the visualization shows that 1 examples follow the same pattern, more or less.",0,None,9,Mon May 02 2016 02:56:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20609,None,None
/silburt,Does Size Matter in Batting?,It might be useful to adjust salaries for inflation. Directly comparing person A's salary from 1925 to person B's from 2010 is not a fair comparison.,2,bronze,1,Mon May 02 2016 04:06:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20610,None,None
/liziyuann,Data analysis for beginners,"Thx, its indeed a nice script for beginners like me. But I wonder why you experienced guys all try Random Forest first? How do you judge which classifier is suitable for the dataset? Thank you!",12,bronze,23,Mon May 02 2016 06:31:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20611,None,None
/beiwenwu,CV score vs Public lead board score ,"Just interesting to compare CV score and Public lead board score. We have tried different linear and nonlinear models. The models always achieve better CV score than public lead board, the difference is around 0.01, which I assume is significant in this competition. Does that happen to you guys? Do you think it is a sign of distribution of test dataset and train dataset is a bit different?",0,None,3,Mon May 02 2016 07:36:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20612,/competitions/melbourne-datathon-2016,3rd
/del=c847b078443444b2,XGBoost Parameter Tuning,"Hi guys, So far I have been running XGBoost with some generic parameter values based on my gut feeling. I have been thinking what's the point of running XGBoost if parameters are not fine tuned. Is there any SIMPLE script from an old competition that I can refer to and learn ? Preferably one in R and one in Python. thanks",0,None,2,Mon May 02 2016 07:52:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20613,None,None
/dotank,What is the submission format?,Is the score on the leader board the map@5 calculated 33% of the subsmission file?,0,None,5,Mon May 02 2016 09:48:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20615,/competitions/expedia-hotel-recommendations,1161st
/smalde,best way to create the submission file in R,"Hi guys, I am a newbie to kaggle and R and I am stuck trying to create the submission file. what would you recommend is the best way to write the file? I have a data.frame (or data.table) file of 2528243 rows and 2 columns in the workspace and would like to save it as a csv? (Aside: is it efficient to assign the values of the top5 hotel clusters as a list to the 2nd column of data.frame? ) I am open to alternate suggestions Thanks Sajni",0,None,3,Mon May 02 2016 11:21:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20616,/competitions/expedia-hotel-recommendations,1582nd
/ovilovil,QS World University Ranking,"Hi, I´m Interested in a dataset, particulary QS World University Ranking Data. Do you know a source where I can get it? Please don´t hesitate contact me at [Link]:mailto:ovil@mixmail.com Thanks",0,None,2,Mon May 02 2016 12:40:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20617,None,None
/domcastro,No submissions allowed after end of snooker,"I have to go to bed when the snooker finishes. Even though I think it will be a late one, it would be unfair of you to make submissions when I am in bed and before the competition end. Thanks in advance",9,silver,18,Mon May 02 2016 12:49:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20618,/competitions/santander-customer-satisfaction,280th
/mwisselaar,Is it cheating to combine train and test to engineer features,"Going over the train-data ticket grouping, I found groups, families or couples can be split up across train and test data files. The ticket group size may be an interesting feature to test. It would be easier to determin wife, husband, child. Also it seems nanies were present (and seemed to have a very high survival rate). Question: Is is allowed to combine train and test to engineer features. Also with combining the age-group would probably have a higher succes-rate.",1,None,3,Mon May 02 2016 12:58:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20619,/competitions/titanic,None
/purohit,new to kaggle. top 5 destinations ,I am new to kaggle and this could be a very naive question. Why are we predicting to top five destinations(top 5). No where in the problem description it is mandated to predict top5 ?,0,None,2,Mon May 02 2016 13:40:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20620,/competitions/expedia-hotel-recommendations,1343rd
/michael1986,Reliable results comparison,"Dear Kagglers, We are doing research where students work on data analysis projects with the aid of knowledge-based system. To evaluate the results, we want to compare the output of our data analysis with the one produced by experts. Maybe someone has a creative idea on where can we find the data analysis that was produced by someone who can be seen as average expert? I say average because it wouldn't be fair to compare the results with best-performing Kagglers on competitions. Also, as data analysis might be quite subjective and lead to different results, the project has to be relatively well defined such that the comparison will make sense. Any of your help would be greatly appreciated.",0,None,1,Mon May 02 2016 14:41:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20621,None,None
/ceyson,Question - post competition submissions,"Once a competition concludes, do the unrecorded scores for submissions reflect the private leaderboard?",0,None,2,Mon May 02 2016 15:29:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20622,/competitions/santander-customer-satisfaction,1634th
/kirukrish,How long does it take to generate results with R roughly?,Could I know roughly how long it takes to generate results with R roughly?,0,None,1,Mon May 02 2016 16:45:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20628,/competitions/expedia-hotel-recommendations,823rd
/mpage38,user_location attributes,"How is that possible that a given user_location_region has more than one user_location_country ? for instance, there exist rows with user_location_region=20 that have user_location_country=55, others with user_location_country=133, and still others with user_location_country=162.",0,None,6,Mon May 02 2016 16:54:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20629,/competitions/expedia-hotel-recommendations,1405th
/mgkaggle,To my fellow overfitters,"Let's be honest: We gave up beating the public LB by our own means long ago. Now we are just tuning the hell outta 'The Script'™. We are like Icarus, flying higher and higher, fully aware that our wings are already melting. Cause we'd rather drop from Top 50 to 5000 than stagnate around 500th spot forever! So let's brace for impact. We will go down, but at least we will go down in a blaze! ᕙ( ͡° ͜ʖ ͡°)ᕗ",25,gold,35,Mon May 02 2016 18:34:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20631,/competitions/santander-customer-satisfaction,187th
/mylesoneill,Which universities do good science?,Fantastic analysis! I really enjoyed reading it and hope you get selected.,4,bronze,8,Mon May 02 2016 19:32:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20632,None,None
/malzantot,Question about leaderboard,"Hi, I have a question regarding the leaderboard ""Δ6d"" field ? How to explain the value of this column ? Thanks, Moustafa",0,None,2,Mon May 02 2016 19:35:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20633,None,None
/faezzzzz,Google’s TensorFlow Deep Neural Network Classifier,"Below is my coding using tensorFlow Deep Neural Network with 3 hidden nodes: from tensorflow.contrib import skflow import pandas as pd from sklearn import metrics training = pd.read_csv(open(""training_set.csv"")) testing = pd.read_csv(open(""test_set.csv"")) training_data = training.ix[:,0:2] training_target = training.ix[:,3] testing_data = testing.ix[:,0:2] classifier = skflow.TensorFlowDNNClassifier( hidden_units=[3, 5, 3], n_classes=3, steps=15000 ) classifier.fit(training_data, training_target) predicted = classifier.predict(testing_data) id = pd.DataFrame(list(range(1, len(predicted) + 1)),columns=['Id']) predicted = pd.DataFrame(predicted,columns=['Prediction']) output = pd.concat([id, predicted], axis=1) pd.DataFrame(output).to_csv(""prediction.csv"",index=False) accuracy = classifier.score(training_data[:1000], predicted) print accuracy print ‘done' copy Discuss on how to get more accuracy.",0,None,1,Mon May 02 2016 19:59:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20634,/competitions/um-fcsit-playground,6th
/godaibo,Interview with 1st place winner Santander challenge,"I won’t be surprised if someone wins this with a minor tweak to the best performing public script. “Kaggle Admin” – Tell us about your model? “winner” – Well, I hate to disappoint fans of simple models, but we won this with “OUR giant Frankenstein ensemble” with a weighted average. ( 0.999999) (public script) + (0.0000001) (OUR Frankenstein ensemble) We will write a blog post about (OUR Frankenstein ensemble)",24,gold,2,Mon May 02 2016 20:14:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20635,/competitions/santander-customer-satisfaction,2862nd
/paulorzp, Another virtual problem ?!,"Kaggle us again proposes a problem that does not exist in the real world ! All image capture systems by default record the location and the date and time of each photo . So the problem proposed by DRAPER simply does not exist in the real world . ( Unless someone sabotage the database ) Someone took the trouble to change the date and time of creation of files and also erased the photos of metadata simply to create a virtual problem. Why not keep the temporal data and propose a real world problem , that would be the identification of a possible or likely change between the photos taken from the same place al over time?",0,bronze,7,Mon May 02 2016 20:56:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20636,/competitions/draper-satellite-image-chronology,23rd
/sandorh,Dátumkezelés RAPID MINER,"Sziasztok! Elnéztem egy input format lehetőséget, szerencse, hogy hallgatótársam segített ebben. Köszönöm. Hegedüs Sziasztok! Halkan jegyzem meg, hogy a RAPIDMINER a saját maga által CSV-be kiírt dátumot sem tudja READ_CSV-vel korrekt módon visszaolvasni, hát még a házi feladat igen vegyes írásmódú mezőit… Ha időszakot tartalmazó változót akarnék számítani a dátum mezőkből, igencsak el kellene vele bíbelődni. Valakinek van tuti módszere dátum beolvasására CSV-ből? Sziasztok, Hegedüs",0,None,6,Mon May 02 2016 21:20:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20637,/competitions/dap-2016-nagyh-zi-kickstarter,32nd
/datafad,How soon do we see Private Leaderboard?,"This competition ends today at 5pm PST (California time). Please, remember to make your best submission and choose 2 submissions as your best before that time! I am new here. Is it known how soon after the conclusion of the competition will the private leaderboard be available?",1,bronze,1,Mon May 02 2016 22:46:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20639,/competitions/santander-customer-satisfaction,2143rd
/breakfastpirate,"The final evolution of ""The Script""",preds[true] = 0,7,silver,2,Mon May 02 2016 23:17:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20641,/competitions/santander-customer-satisfaction,7th
/inversion,Meta Contest - Ends in 70 minutes,Let's see who's got the greatest (what the Finns would call) [Link]:https://en.wikipedia.org/wiki/Sisu: Post the public LB score of your lowest two selections. 0.839066,3,bronze,33,Mon May 02 2016 23:53:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20642,/competitions/santander-customer-satisfaction,1376th
/rdslater,Attempts that failed,"So soon we will be all reading about the winners and what they did to demonstrate their brilliance. However, I am from the other end--here's a bunch of things I found that DIDN'T work in my attempt to beat the public script. Sometimes your failures are just as important as your successes. I jumped over here with about 2 weeks to go from the BNP contest. So the leaderboard was already stacked at the top with the notorious XGB script that was a basic XGB--not much else. FOr all my efforts, I never could get past that one. Here's what I tried doing (1)I tried to figure out what the data meant. I have a rudimentary knowledge of Spanish and was able to guess some category names, however that did not lead to any important insights (even if you don't know spanish, Santander is a spanish company so…). For example comer=""to eat"" (not much help) corto, medio, largo (small, medium, large) have=""ago"" so hace2 probably is 2 months ago or 2 years ago. meses=""months"" saldo=""balance"" The only one that got me anywhere is ""delta"" which isn't exactly spanish. By looking at the data a few things did pop out. Obvviously ""ind"" was an indicator variable 1/0 so ""ind_var5"" was just whether var5 was zero or not. This was handy to know, but not especially helpful as typically I add these in as a first test. I spent a great deal of time trying to find which variables didnt have indicator columns, but that turned out to be a dead end (I just dropped all the ind variables and created my own for every column). The only cool thing I figured out was delta variables are just ratio of variables indicated. for example: delta_imp_aport_var13_1y3 =(1- imp_aport_var13_hace3/imp_aport_var13_ult1) copy delta_num_aport_var13_1y3 = (num_aport_var13_ult1 - num_aport_var13_hace3) /num_aport_var13_hace3 Deltas never figured very high in my importances, so I even dropped them for a time. Given the high range of balances (or what I guessed was balances, I took the log of all the saldo variables. (didn't help) I then started to feature engineer by doing sums of all the variable types. For instance a sum of all variables starting with ""saldo"" I ended up with a lot of features like this (finding that fiter(regex='') was HUGE): train['saldo_var']=train[features].filter(regex='^saldo_v').sum(axis=1) copy Then i fired up vw to look at feature interactions. I got a list of quadratic interactions, used some l1 regularization to ""lasso"" features (i don't know if that is quite the right terminology). Once I dumped my non-zero features into a file, it was easy to use excel to write the features en-mass and then cut and paste them into my python notebook. My cubic interactions halted as I think the range of the data was causing issues with the update rules in vw. Even then I was still lagging behind on the leaderboard. Given that the classes were largely unbalanced, I tried to introduce weighting into my models, that made my CV WORSE!! Ugh!! I never caught the idea of setting predictions to zero in my predictions. That seemed very un-machine learning like. I tried to creat variables that did the same thing, and they showed importance, but my CV and submission never could catch up. In the end I added an extra tree classifier for a non-correlated model and used my best xgb in combination with the public xgb for an average, for my submissions. I deliberately gambled that the public solutions were over fit and did not chose my ""best"" scoring models but blended models of my best score, best public score and extra trees. (I read a paper that basically said no model is better than another--what really matters is data--by extra trees was tough to optimize for AUC). Other ideas I explored--classifying the class 1 as outliers--I struggled with this and couldn't seem to make it work very well. I simply ran out of time trying to make my models work--it would always say I had no outliers. probably an ID-10T error given the short amount of time I had to work (~2 weeks while still doing a full time job, kids, hobbies, finishing ML course). We'll see how I finally shake out on the leaderboard, I was at 900 when last I checked (down 800 spots this week!). Edit: When looking at the data I both look at the raw data and plot overlaying histograms (one for each target)",8,silver,4,Tue May 03 2016 00:23:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20644,/competitions/santander-customer-satisfaction,927th
/breakfastpirate,Congrats!,Congrats to anyone who is not too shell-shocked to be reading this! Congrats especially to Shize Su and Medrr for placing Top 4 on both public and private.,16,gold,46,Tue May 03 2016 02:30:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20647,/competitions/santander-customer-satisfaction,7th
/wenlie,If I learned something today was...,"Always, always trust your CV.",7,silver,28,Tue May 03 2016 03:08:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20649,/competitions/santander-customer-satisfaction,995th
/something4kag,post competition wrapup,"Noticed in the LB possibly some kagglers had tried using h2o ensemble based on their profile names. Tried using it a few times, took quite long to run and not the best results but wondered if anyone else had thoughts on using it - what learners, metalearner seem to work best, etc. It was interesting anyways to give it a go.",1,bronze,21,Tue May 03 2016 04:01:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20651,/competitions/santander-customer-satisfaction,905th
/akashtandon,Verifying results,"Fellow Kagglers, how long does it generally take to verify the standings in a competition such as this? Thanks!",0,None,2,Tue May 03 2016 05:41:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20652,/competitions/santander-customer-satisfaction,64th
/jingjinggu,(When) Will the testing server open again?,Problem solved :),0,None,1,Tue May 03 2016 05:49:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20653,/competitions/santander-customer-satisfaction,352nd
/tylerhawkesnw,What works well for improving scores?,"I've tried quite a few models, and they all score below .819. Just wondering what things others have done to boost scores. I think it will be valuable to everyone to take with them beyond this class.",0,None,2,Tue May 03 2016 07:48:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20654,/competitions/pred-411-2016-04-u2-insurance-a,88th
/outliar,"Why did this rule: ""age<23 implies happy"" fail?","There were more than1200 cases in the training set which backed this rule. How come it failed on the unseen set? Were we tricked by non-random sampling? If the sample is non-representative of data, no body can create a good model (as apparent from the leader-board) , and everyone knows that the model which score high are the second choice.",0,None,14,Tue May 03 2016 08:31:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20655,/competitions/santander-customer-satisfaction,1533rd
/cfernr,How can I check my results in Private LB?,"I submitted several solutions, and I want to check the performance of all of them in private LB.",1,bronze,15,Tue May 03 2016 09:45:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20659,/competitions/santander-customer-satisfaction,575th
/ryutaro,Success or bad action_type graph,"I created ""Number of shot - action_type"" graph. I am beginner. If i was wrong, please tell me advice. Thank you. [Link]:http://www.fastpic.jp/images.php?file=3147864304.jpg [Link]:http://www.fastpic.jp/images.php?file=7086221788.jpg",0,None,1,Tue May 03 2016 11:10:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20660,/competitions/kobe-bryant-shot-selection,899th
/cjcoursera,Overtuning hyper parameters (especially re xgboost),"Many public scripts in this competition used a tiny bit of feature engineering and one highly tuned xgboost model. Now that the private leaderboard is revealed many of these results have dropped significantly. These results were overfitting the public part of the test data. For example, some of the scripts I am referring to had hyper parameters eta = 0.0202048 and colsample_bytree = 0.701. For me (and perhaps I am wrong, I am really a beginner). This value of eta cannot reflect the ground truth better than 0.02 can it? Similarly, what is that 0.001 extra columns per tree capturing? I have tested tuning (with this data set and a couple of others) the hyper parameters to 1 significant figure. Tuning to 2 significant figures (of course) can improve the 5-fold CV but often leads to a reduction in score against a held out (local) test set. My question: How far should one tune the various parameters of xgboost? Here are my current limits: max_depth: to the nearest 1. min_child_weight: to the nearest 1. reg_alpha: to 1 significant figure (max 3 decimal places). reg_lambda: to 1 significant figure (max 3 decimal places). subsample: to the best 0.05 colsample_bytree: to the best 0.05 gamma: to the nearest 0.1 (in every case I have tried gamma < 1) As mentioned above, I find that tuning further may cause a lower score against a held out test set.",37,bronze,14,Tue May 03 2016 12:44:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20662,/competitions/santander-customer-satisfaction,1389th
/ahlmann,Suitably licensed External Data allowed?,"Basically the competition seems to require learning how images taken-from-above change over time. Given the vast complexity and semantic knowledge possibly required for this, are we allowed to use external data to train a machine learning algorithm on what changes over time can look like for different environments? As we are allowed to hand-label, I assume we are allowed to use external data sets as well if they are licensed in such a way that they can be used commercially? foliage undergoes seasonality buildings are constructed (or destroyed) in a certain way tracks appear on ground faster than they disappear putting up a ""camp"" follows different sequence than pulling it down. Johannes",0,None,2,Tue May 03 2016 13:00:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20663,/competitions/draper-satellite-image-chronology,60th
/nithinjames,Data can't fit in memory,"Hi, I have been using keras for this competition.my submission scored 1.13 on leader board. Right now, am trying to increase the dimension of the image(from 3232 to 224224) .but i can't fit this to memory.Please suggest some good idea to have this loaded in RAM (at a stretch or as a generator). My Laptop RAM - 8GB NJ/-",0,None,12,Tue May 03 2016 13:34:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20664,/competitions/state-farm-distracted-driver-detection,486th
/godaibo,How can you trust you local cv?,"How can you trust your local cv? I admire those who were thousands of places back and stuck with it, that would be months of torture for me. I have only been in competitions were the private leader board scores were higher than the public scores so if you were behind on the public you were pretty much screwed. I have also only been in competitions where the top 10, got there early and they stayed there, ""data science bowl"" , ""Home Depot"", so naturally my plan was try to get to the top by any means possible and you will stay there. I was wrong! So going forward what is the plan? Kaggle should also make an effort not to monkey with the private /public split. Efforts should be made to make the leaderboard a true reflection of how well you are doing or it is pretty much useless. In this completion 2nd place came from 800+ back to win.",0,None,4,Tue May 03 2016 13:40:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20665,/competitions/santander-customer-satisfaction,2862nd
/whamfish,Identical Scores,What typically happens to all the identical submissions? Do they get removed or stay in? Looks like my final rank would go up a bunch if I wasn't behind 2 scripts.,0,None,1,Tue May 03 2016 13:41:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20666,/competitions/santander-customer-satisfaction,896th
/ivanteong,Pearson Formula for Recommendation Systems,"I'm working on a project on recommendation systems where I need to decide on a certain similarity formula in order to ""predict"" an unknown rating for a user. The well-known ones are Cosine Similarity, Adjusted Cosine Similarity and Pearson Correlation Coefficient. However, I'm getting a bit confused as there seems to be 2 versions of the Pearson Correlation Coefficient online, and I'm not sure which one is the correct one to use. I thought that they might be mathematically similar, but when I used them on a table of movie ratings for different users to try to predict a rating for a movie for one particular user (so that we can recommend the movie to him if that predicted rating is high), they give different answers. Formula-wise they look very different so I want to confirm which one I should use to construct the program's algorithm. The 2 different variants of Pearson Correlation Coefficient are here: [Link]:http://www.statisticshowto.com/how-to-compute-pearsons-correlation-coefficients/ [Link]:http://www.sciencedirect.com/science/article/pii/S0950705113003560 Can someone tell me which one is the right one to use and what is the difference between the two?",0,None,1,Tue May 03 2016 14:03:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20667,None,None
/sasamos,MAP@K demo,"Thanks, it is a clear illustration of the metric.",0,bronze,3,Tue May 03 2016 14:05:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20668,None,None
/del=b4b3f7bb590c4f06,any interesting plots?,"Has anyone done any interesting plots? I computed the PCA of the data in binary form and used the two principal components to make a scatter plot, that I have coloured with the labels. The explained variance of the 2 first PCs is about 4%, and as you can see this doesn't seem to be enough to separate the two classes in two dimensions… [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/118358/4158/i3_pca.png?sv=2012-02-12&se=2016-05-06T12%3A08%3A43Z&sr=b&sp=r&sig=M1Hj01hIhixnTBCQIPH4MVfPkrT3Gn3FsQ28UZljnSE%3D [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/118358/4158/i3_pca.png",1,bronze,6,Tue May 03 2016 14:08:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20669,/competitions/hiv-1-protease-cleavage-sites,7th
/ralfga,Adding features,Here's my dataframe with hydrophobicity and molecular weight. Feel free to use ;) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/118360/4159/AA_properties.csv,0,None,2,Tue May 03 2016 14:18:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20670,/competitions/hiv-1-protease-cleavage-sites,1st
/techieram,Training on CPU (no GPU),"Hi, I am wondering if anybody has been able to make it to the top 50 without using a GPU, running their model on a CPU. If there is anyone, I would like to know how much time their script takes. I do not have a GPU, and my Keras based model (a modified version of [Link]:https://www.kaggle.com/zfturbo/state-farm-distracted-driver-detection/keras-sample) takes around 1.5 days for a 10-fold CV to produce a log_loss of ~1.25 on all the folds combined. After blending the results of several runs with a slight change of parameters, I am able to get a log_loss of ~1.08 on the LB. My model has the following architecture: Conv-Conv-MaxPool-Dropout-Conv-Conv-MaxPool-Dropout-Dense-Dropout-Dense-Dropout-Output. First 2 convolution layers compute 32 kernels and the second set of convolution layers compute 64 kernels of size 3x3. The Dense layers have 128 units each. All the activations, except the last layer, are ReLU. I am training the n/w with 24x32 grey scale images using the adadelta optimizer. I would appreciate any tips on making my model run faster on a CPU. Thanks!",1,bronze,8,Tue May 03 2016 16:43:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20674,/competitions/state-farm-distracted-driver-detection,594th
/wenlie,What was your approach to build the validation set?,"Given the outcome of this competition and recent forum posts I'm curious to know how you kagglers built your validations, can you share your methods?",1,None,1,Tue May 03 2016 18:11:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20676,/competitions/santander-customer-satisfaction,995th
/mrisdal,XGB and 'Quick and Dirty' Ensemble,"This is great! Love the ""quick and dirty"" ensemble. :) It would be nice to see the output comparing the models' predictions. You may have to save the grid of figures so it will appear with your script.",2,bronze,5,Tue May 03 2016 18:25:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20677,None,None
/threeplusme,[Deleted Kernel],"Hi Benjamin, thanks for sharing your solution. how long does the script take to execute on the full train dataset in your case? On my 4GB Laptop the first groupby takes already an hour :)",0,None,2,Tue May 03 2016 20:13:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20681,None,None
/aissaelouafi,Map@5 with random forest classifier,"Hi, I use a random forest classifier to predict the hotel cluster, currently I get only one value. I do not know how to get the 4 other hotel cluster (the most closest hotel cluster to the predicted value) using the random forest classifier. I do not if it's possible using a random forest classifier or not. Regards,",0,None,7,Tue May 03 2016 21:04:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20682,/competitions/expedia-hotel-recommendations,830th
/davutpolat,Missing Fields in test set,"Hi, in the Data section the fields are shown for both train.csv and test.csv, but is_booking and cnt fields are missing in test part, is it ok or mistake ? -- i apologize if this was asked in previous threads/posts, i could not find any so i opened this thread,",0,None,2,Tue May 03 2016 21:51:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20683,/competitions/expedia-hotel-recommendations,21st
/admiralwen,XGBoost Question: ETA Decay in R?,"I've read several posts where people have implemented variable learning rates for their XGBoost models ( [Link]:https://www.kaggle.com/c/prudential-life-insurance-assessment/forums/t/18305/xgboost-change-parameter-while-training, for example). However, all of these have been in Python. I've tried to do this in R by feeding a vector to the params list, but it doesn't seem to work. Is ETA decay possible to do in the R version? I've googled around about this too, without much luck.",0,None,3,Wed May 04 2016 02:19:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20687,/competitions/santander-customer-satisfaction,72nd
/mili9343,New to data science - where to start,"Hi Kaggle Community! I'm new to this community, and I was hoping the seasoned members could give me some pointers to get started. Context: I have no background in CS or Statistics (other than basic econometrics); I work a lot in excel and am comfortable doing various analyses in Excel; am an intermediate VBA user, with some familiarity with PowerPivots etc. Problem: Lately I have realised that excel is severely limited in its ability to crunch big data sets, even with the aid of PowerPivot, it is only so useful. I would love to learn to do some of the data science magic that this community seems to do on the regular Questions: What are some good starting points to get me learning? Which programs / languages should I start with? What are good resources to help facilitate the learning process? Both paid and free Any help on this subject would be muchly appreciated! Thanks, M",0,None,4,Wed May 04 2016 03:35:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20690,None,None
/avishek,Scoring well on public LB too,"Congrats to the winners and other top rankers. Especially guys who did well on both public and private LB, that's fantastic. It would be great to hear suggestions how some of you did well on public LB for this one and in general. That might have some interesting learning for others in the community.",0,None,2,Wed May 04 2016 04:14:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20691,/competitions/santander-customer-satisfaction,1069th
/ma350365879,ensemble,"ds = id_results[['ID','max']] Any reason why using the max value to ensemble?",0,None,4,Wed May 04 2016 05:10:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20692,None,None
/del=2f673c1a2e89cd70,SMOTE on unbalanced data,"Hi, I have upsampled minority class using SMOTE. I have xgb classifier on the whole data. My crossvalidation AUC comes about 0.93 but my leader board score is around 0.75. What can be the reasons for this behaviour ? Can overfitting be the reason ?",0,None,4,Wed May 04 2016 05:38:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20693,/competitions/santander-customer-satisfaction,3388th
/shahnawazakhtar,Is private lb score based on both selections???,,0,None,4,Wed May 04 2016 05:54:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20694,/competitions/santander-customer-satisfaction,2479th
/benhamner,Revamping Kaggle Profiles and the User Ranking System,"It's been several years since your Kaggle profiles and our [Link]:https://www.kaggle.com/users have had a meaningful refresh. In the meantime, Kaggle's changed dramatically: our community's grown, we've held many more diverse and challenging competitions, and we've launched [Link]:https://www.kaggle.com/scripts and [Link]:https://www.kaggle.com/datasets. This means we're overdue for an update on both of these! We're in the early stages of brainstorming what this will look like, and would love your input. Our current ranking system is [Link]:https://www.kaggle.com/wiki/UserRankingAndTierSystem. The goals of the ranking update will be to adjust the competition ranking system as may be appropriate add a second ranking system that rewards collaboration (discussion and scripts) I've just updated the [Link]:https://www.kaggle.com/kaggle/meta-kaggle to include data related to datasets and scripts. Please propose any updates to the current ranking system there in a data-driven way! To get you started, I've [Link]:https://www.kaggle.com/benhamner/d/kaggle/meta-kaggle/calculating-the-kaggle-user-rankings/. Note that this is directionally correct, but it's not precisely the same (these differences are probably driven by competitions that may be included in rankings but are currently excluded from the raw public data dump). The primary goal of the profile update will be to showcase your Kaggle contributions across competitions, forums, and scripts to the world.",13,silver,111,Wed May 04 2016 06:35:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20695,None,None
/benhamner,Calculating the Kaggle User Rankings,Have suggestions to improve our ranking system? Fork this and let us know! ps. I'm going to ignore anything with special cases like UserId=5309 ;),2,bronze,3,Wed May 04 2016 06:38:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20696,None,None
/benhamner,[Deleted Kernel],"Btw - for the purposes of ranking, current / former Kaggle employees will be filtered out or downweighted (jeffmoser, dchudz, and myself pop up here). Any ranking system doesn't need to account for the outliers we represent since we'll handle those as special cases.",1,bronze,2,Wed May 04 2016 08:44:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20698,None,None
/ab19026,Diligence is a useful strategy.,"We all notice that the #1 team has made almost 300 submissions.This competition lasts for 2 months = 60 days, 300/60=5 and it means that everyday's limit on submission is used up. In a common sense,feature engineering and something like that are pretty time-consuming.Tons of experiments and modifications must be finished before submitting an acceptable result. The #1 team might have been tuning their features at the same time of making an immediate submission and then the LB feedback was used to improve their further modifications.A VIRTUOUS CYCLE IS FORMED.Not to mention their massive ensembles. CONGRATS TO #1 TEAM.YOUR GREAT DILIGENCE DESERVE THE HONOR.",1,bronze,6,Wed May 04 2016 09:25:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20700,/competitions/santander-customer-satisfaction,2091st
/thecpshah,Help to understand data.table,"Hello All, This may seem stupid but I need help with the following: In this [Link]:https://www.kaggle.com/signochastic/expedia-hotel-recommendations/apr-23/code, I am not able to understand how the line below works: dest_id_hotel_cluster_count <- expedia_train[,sum_and_count(is_booking),by=list(orig_destination_distance, hotel_cluster)] Does it first group the data by orig_destination_distance and hotel_cluster and then apply the function on is_booking ? But then how the grouping works on orig_destination_distance? As it is a double and it could be any value. Thanks.",0,None,4,Wed May 04 2016 11:51:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20703,/competitions/expedia-hotel-recommendations,1355th
/del=fef0077d9e951345,Identifiers are predictive?,"It seems that the identifiers are predictive… I found a consecutive string of 24 positives in a row. This is amazing because there are 200 positives on 1200 samples. The chance to get 24 positives in a row is: (1/6)^24 = 2.1104253e-19 Which is a very unlikely event. If the test set has the same ordering (according to my predictions it seems like that) than you can use this to make better predictions. Please do understand that in a real life situation this is completely useless… But on Kaggle it can mean that you can climb on the leaderbord. For the people who are interested, this is the sequence of labels (ordered by identifier, and -1 replace with 0): [1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0] copy",1,bronze,3,Wed May 04 2016 14:36:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20704,/competitions/hiv-1-protease-cleavage-sites,2nd
/insaff,"Clean, Feat, Fit and Submit",What is your LB score of code above? Is using holydays actually improve the prediction quality?,2,bronze,6,Wed May 04 2016 15:00:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20705,None,None
/chaatak,Removing NAs in big datasets,"I am currently working on a data set having about 50,000 rows. Some of the columns have around 1000 missing values both numerical and categorical. I am using R and the mice package to impute the values but whenever I call the mice () function, the R system stops responding (due to the large data set) and ultimately I have to close it. Is there any way I can perform the imputations? Any suggestions?",0,None,1,Wed May 04 2016 15:18:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20706,None,None
/asymptote,Homography Estimate + Stitching two imag,"It seems SIFT and SURF are note available on Kaggle scripts, which makes sense that SIFT and SURF are examples of algorithms that OpenCV calls “non-free” modules. I am curious if it's possible to install those.",1,bronze,2,Wed May 04 2016 15:43:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20707,None,None
/dmi3kno,Destination clusters,So does that mean the competition is a piece of cake?,1,bronze,7,Wed May 04 2016 16:15:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20709,None,None
/ralfga,AUC vs CV,"So I have this graph of the AUC and Cross Validation scores of different numbers of principle components in PCA. But the two scores have a maximum on different numbers of PC's. Which of the two scores should I rely on, AUC or CV? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/118639/4174/PCA.png",0,None,3,Wed May 04 2016 17:14:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20710,/competitions/hiv-1-protease-cleavage-sites,1st
/bharathsivaraman,Working with external data sets Kaggle,"Hello I have just started exploring Kaggle and find it insanely insightful. I love the data sets and the ideas I get for analysis. However I have a problem, I worked on a couple of data sets provided here and added other data sets to corroborate some findings.Example -for the data set on climate, I added some data to see if El Nino had an effect on Climate change. Kaggle did not provide the El Nino data set and I am wondering how to run my script with external data sources. Is there any comprehensive tutorial on how to use the Scripts? I just was not able to find what I can upload and what I cannot and how best to use scripts. Thanks Bharath",0,None,2,Wed May 04 2016 17:20:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20711,None,None
/michael1986,Competitions that have ended,Is it possible to evaluate my model on the dataset of the competitions that have ended?,0,None,1,Wed May 04 2016 17:42:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20712,None,None
/deaddy,Public vs. Private scatterplot,"For those who are interested, I've made public vs. private and private vs. submits number scatterplots. Cheers! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/118656/4175/public_vs_private.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/118656/4176/private_vs_submits.png",2,bronze,3,Wed May 04 2016 18:21:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20713,/competitions/santander-customer-satisfaction,1256th
/ankit2106,Looking for team mates preferably based out of Delhi to work on this problem,My email ID is ankitchoudharyiitb@gmail.com. I have worked on 2 kaggle competitions before using R.,0,None,4,Wed May 04 2016 19:40:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20716,/competitions/sf-crime,None
/carloshuertas,Keep logged in,"Did something change over there? I just reinstall my OS today, and I cant find the way to ""keep me logged in"", each time I close my browser, I need to log in again. Please help!, I need to be constantly overfitting the LB. (PS: I cant use the ""log me with FB/Gmail/bla bla"", I am at school, but….. I dont remember to have used it before and I was always logged in)",1,bronze,4,Wed May 04 2016 19:42:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20717,None,None
/kzhan1,Boruta in R - How to determine direction of effect ,"Has anyone use Boruta before? I was able to determine the degree of importance of various independent variable (includes categorical, integer, and numerical values) on my dependent variable (a binary variable), but I'm not sure what direction each of the IVs have on my dependent variable. Anyone who's used Boruta in the past have done this? Thanks so much!",0,None,2,Wed May 04 2016 20:34:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20718,None,None
/andrelopes1705,Grid search xgboost with scikit-learn,What is num_boost_round ? I dont see that on xgboost!,0,None,12,Wed May 04 2016 23:29:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20720,None,None
/thecpshah,Data Leak Explanation,"Hello All, I have to say that so far, I have looked at many sites and videos to understand what is Data Leak but sadly, I have not found a good explanation that is simple and intuitive. Even the explanation on [Link]:https://www.kaggle.com/wiki/Leakage is confusing. It would be really great if someone can spend sometime to explain what is a Data Leak. Best Regards Chintan",0,None,4,Thu May 05 2016 13:54:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20730,/competitions/expedia-hotel-recommendations,1355th
/ccccat,Validation vs LB,"If anybody cares here is my relationship between local validation (trained on 2013, validated on 2014 (or vice versa ?)) and LB score (trained on all data) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/118829/4187/07.png",20,gold,9,Thu May 05 2016 17:26:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20737,/competitions/expedia-hotel-recommendations,16th
/beedata,Why santander  cancel my record? ,,0,None,1,Fri May 06 2016 23:39:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20777,/competitions/santander-customer-satisfaction,None
/ashhafez,unzip error?,Anyone else see this error when unzipping the images? … inflating: train/c9/img_99044.jpg inflating: train/c9/img_99104.jpg error: expected central file header signature not found (file #102163). (please check that you have transferred or created the zipfile in the appropriate BINARY mode and that you have compiled UnZip properly) inflating: train/c9/img_99212.jpg inflating: train/c9/img_99295.jpg … I'm on a Macbook Pro ash,1,bronze,2,Sat May 07 2016 16:13:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20787,/competitions/state-farm-distracted-driver-detection,66th
/yesocool,"holiday and non-holiday, weekdays and weekend, It means lots!!","Hi, every one! I am a new guy in Kaggle. In this Shelter Animal Outcomes game, I think the weekdays and weekend must been split. In common sense, we more likely go to shelter in weekend. But in the Kaggle community, I find there is no one count it in. Now here is the promble, how to split the datatime in to weekend and weekdays?? By the way, I use python, pandas, sklearn.",0,None,2,Sun May 08 2016 05:32:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20797,/competitions/shelter-animal-outcomes,None
/unbingo,loading github package in script,"Hello, after testing my R Markdown script in a local RStudio, it returns an error when run as a script. the script attempts to load a package from github: require(devtools) install_git(""wilkox/treemapify"") copy it returns this error Loading required package: devtools Downloading git repo wilkox/treemapify Quitting from lines 15-27 (script.Rmd) Error in git2r::clone(x$url, bundle, progress = FALSE) : Error in 'git2r_clone': Unsupported URL protocol Calls: render ... remote_download.git_remote -> -> -> .Call Execution halted copy I've tried these alternatives, which also crash the script: install_github(""wilkox/treemapify"") install_git(""https://github.com/wilkox/treemapify"") devtools::install_git(""wilkox/treemapify"") copy does anyone know a trick to successfully install a Github package in a script? Thanks for your help!",1,None,1,Sun May 08 2016 02:48:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20796,/competitions/kobe-bryant-shot-selection,558th
/glimmung,Destinations,I find queries (is_booking = 1) with srch_destination_id not in the destinations.csv. 595 unique srch_destination_ids over 12516 queries. Missing id 44201 is queried 1097 times. Is this to be so? Or am I coding like a donkey?,0,None,2,Sun May 08 2016 10:53:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20800,/competitions/expedia-hotel-recommendations,1733rd
/threecourse,neon question,"I'm trying to use pretrained model like [Link]:https://gist.github.com/nervanazoo/14bb75d2bb5f20d9c482 in neon. I'd like to extract features from intermediate layer and do fine-tuning, but have some troubles. These are problems: how to get output values of intermediate layer? how can I know proper input shape and preprocess (cf. subtract mean values, RGB or GBR, divide by 255.0)? how to change CV split in ImageLoader? I'd appreciate suggesting solutions.",2,bronze,7,Sun May 08 2016 13:51:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20805,/competitions/state-farm-distracted-driver-detection,55th
/amgmails,date_time and srch_ci ,How come that some srch_ci have a date anterior to date_time? Can somebody help me understand? 8457 events are concerned and 617 of them are actual bookings (facts from the training data).,2,bronze,16,Sun May 08 2016 14:55:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20806,/competitions/expedia-hotel-recommendations,None
/vzocca,Understanding the Kaggle rules,"I was reading some posts on the HomeDepot competition and Paribas competition. I understand one cannot have more than one account. It also appears that you should not post your code on a github account or somebody may be copying it and you may be disqualified (even if someone used it without your consent). Also, no private code-sharing with other teams. Any other rules I should be aware of? Where is the complete list of rules? Thanks!",0,None,2,Sun May 08 2016 19:59:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20809,None,None
/greyfaux,Exploratory Lending,Este análisis esta bueno! Maybe you could do something that shows number of loans taken out over time? I still trying to figure out time-series..,0,None,2,Sun May 08 2016 20:05:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20810,None,None
/ajncespedes,My 12th place simple solution,"Hello, I would like to share one of my models that gets Rank 12, but I selected 2 other different submissions… :( As the majority of us, I have learned a hard lesson about overfitting. The solution has two parts: the first involves making a noise prediction and the second part involves making an ensemble of 24 partitions of the dataset in order to make undersampling without losing information. 1. Noise prediction This dataset has some repeated instances but with both class label, so that instances are noise. What I made was extract that noisy instances from the complete dataset. After that, I splitted the resulting complete dataset in 5 partitions and I ran xgboost on each one. Then, I made a majority vote of the five resulting predictions for each noisy instance that I extrated at the begining. Finally, I inserted that instances with the real class label. 2. Undersampling This dataset is highly unbalanced, so using the new dataset without noise, I made an undersampling as follows: first, I splitted the dataset in the instances which have class label 0 and the instances which have class label 1. Later, I splitted the instances with 0 class into number_of_class0/number_of_class1 partitions (24 partitions) and I joined each partition with the partition of instances of 1 class label made before. Finally, I ran xgboost on each new balanced partition and I made an average with the predictions of the 24 models. This simple model gets 0.840336 in the public leader-board and 0.828114 in the private leader-board. If you want, you can check the code on my GitHub account. Regards, Antonio.",27,gold,10,Sun May 08 2016 20:37:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20811,/competitions/santander-customer-satisfaction,525th
/gogolgrind,Meaning of @ at matchup column ,Can anybody explain meaning of @ symbol at matchup column ? Thanks!,0,None,1,Mon May 09 2016 00:21:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20813,/competitions/kobe-bryant-shot-selection,334th
/dmi3kno,The Script with sparse.model.matrix() vs. data.matrix(),"Can someone explain to me why the script using sparse.model.matrix picks completely different set of variables? Here are the snapshots of top-10 features in xgb.importance for two identical scripts: [Link]:https://www.kaggle.com/dmi3kno/santander-customer-satisfaction/people-with-loans-never-complain/log (rank #3033, Pub: 0.838477 Pri: 0.822124): Feature Gain Cover Frequency 1: imp_ent_var16_ult1 0.224325599 0.136328131 0.0711666085 2: saldo_var31 0.152300816 0.091586594 0.0387705204 3: n0 0.084690001 0.095705947 0.1091512400 4: saldo_medio_var5_ult1 0.038175486 0.042438192 0.0455815578 5: saldo_medio_var8_hace2 0.031343221 0.027216113 0.0396437304 6: saldo_medio_var5_hace3 0.031012525 0.030733803 0.0433112120 7: saldo_medio_var5_ult3 0.020080373 0.019397897 0.0311735941 8: num_var45_ult1 0.017749605 0.019580590 0.0279427174 9: saldo_var6 0.017399618 0.019373600 0.0285539644 10: num_med_var22_ult3 0.016015618 0.014909051 0.0242752358 copy [Link]:https://www.kaggle.com/dmi3kno/santander-customer-satisfaction/the-script-w-data-matrix/log (rank #3005, Pub: 0.837651 Pri: 0.822365): Feature Gain Cover Frequency 1: var15 0.230222364 0.140154828 0.0833048822 2: saldo_var30 0.166046655 0.101901223 0.0460054626 3: var38 0.093182957 0.110432985 0.1254694435 4: saldo_medio_var5_hace3 0.034533475 0.037628613 0.0400307272 5: n0 0.034181881 0.024556724 0.0361044725 6: saldo_medio_var5_hace2 0.031092428 0.038351323 0.0428473882 7: saldo_medio_var5_ult3 0.028610550 0.026074719 0.0365312393 8: saldo_medio_var5_ult1 0.020182007 0.020700492 0.0271423694 9: saldo_var5 0.017595943 0.027116736 0.0297029703 10: num_var22_ult3 0.015460181 0.017164469 0.0214236941 copy I find it counter intuitive that the first script (which was so popular last week) does not have var38, var15 and saldo_var30 among the top features (not even in top-50). It seems like those ""dense"" features are completely omitted in the ""sparse"" matrix. UPD: Apparently, those two make up a great ensemble. Rank-averaged solution jumps to #2911, Pub: 0.838913/Pri: 0.823014 UPD: Question on [Link]:http://stackoverflow.com/questions/36462372/difference-between-sparse-model-matrix-and-as-matrix. Forked [Link]:https://www.kaggle.com/dmi3kno/santander-customer-satisfaction/the-script-w-sparse-model-matrix-1/log to remove the intercept. Oh, wow! Feature Gain Cover Frequency 1: var15 0.218308024 0.134660466 0.0735029555 2: saldo_var30 0.157116592 0.096714394 0.0408635312 3: var38 0.081714190 0.092308361 0.1030583398 4: saldo_medio_var5_hace3 0.034295741 0.037379336 0.0423198835 5: saldo_medio_var5_ult3 0.030746101 0.028011272 0.0436905680 6: saldo_medio_var5_hace2 0.028825410 0.032729689 0.0413775379 7: n0 0.026620913 0.018442675 0.0257003341 8: saldo_medio_var5_ult1 0.020782567 0.017333912 0.0273280219 9: num_var45_hace3 0.017726790 0.016180165 0.0286987064 10: num_var22_ult3 0.016551517 0.013276430 0.0228732974 copy Rank #2940, Pub: 0.838551 Pri: 0.822773. Not precisely the same order of variables, but the most important ones are here. How come no one noticed that the script has the intercept in?",1,bronze,2,Mon May 09 2016 00:45:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20814,/competitions/santander-customer-satisfaction,92nd
/mikeskim,Does Naive Bayes work here?,"I wrote a fast version of Naive Bayes that requires pypy for the base function then I wrapped it for R use (with data.table). I'd like to post it here to see if anyone is using NB and a code check. The probabilities aren't normalized, but I think the code is correct (it may not be). It's fairly fast and should work on the full train data and test data in minutes. R does not have a good Naive Bayes. They all seem to memory leak or freeze on me. My function requires the input train data.frame to have the first column as target (0…numclasses-1) and the other columns as features (use correct header names), and the test data.frame to have the features with correct header names. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119299/4228/rNB.zip",8,silver,3,Mon May 09 2016 01:58:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20815,/competitions/expedia-hotel-recommendations,34th
/sircausticmail,Is it possible to know what score the second submission would have got on the 'Public Leaderboard'?,"Of the two submissions we are asked to select, the better one reflects on the Public Leaderboard. Bur is it possible to know what the worse faring submission would have scored.",0,None,3,Mon May 09 2016 05:36:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20816,/competitions/santander-customer-satisfaction,763rd
/cantdutchthis,xgBoost,what version of h2o are you using here? my version doesn't seem to have the h2o.xgboost function supported.,1,bronze,6,Mon May 09 2016 09:20:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20817,None,None
/mchahhou,clusters and countries,It seems that many countries have the same clusters. Does it mean that a cluster can be bigger than a country?,0,None,6,Mon May 09 2016 10:55:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20819,/competitions/expedia-hotel-recommendations,827th
/mayanktutwani,How to start of with data science,"Hi all, I am interested in trying out the field of data sciences. However, there are two problems ( or so called problems ) : I am a 4 year experienced guy in the field of chip design ( VLSI ) and am not sure about my chances of success. I am also not able to figure out as to what all elementary topics( both maths and programming) I need to cover so that when I start my masters course ( which will be next year ) , I will be able to adjust properly in that course ( for securing an admit , I will need to clear an entrance examination in my country or apply to a masters program in the US ) . I will be extremely grateful if you can help me out with this and provide me with some online links so that I get started asap. Thanks for your time. Mayank",0,None,6,Mon May 09 2016 11:28:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20821,None,None
/solojay,Data Science Newbie,"Hi All, I'm having a big career change, or trying to enter into a real career after graduating with MSc Business Economics and not entered into any related industry to use the knowledge acquired. I'm taking the plunge to study MSc Data Science at Kings College London this September 2016, after some career adivce from my mentor. The only shortcoming for me now is the computer programming aspect, but because of my enthusiasm about computer things, I believe i'll be ok. I'm currently studying SQL and Python to give myself a headstart before I commence my course. Please advice me on how to maximize my potential from a newbie to a guru data scientist. I also want to relocate to USA; so I need some information regarding international students applying for entry jobs in silicon valley or wall street as a data scientist. Thank you, and looking forward to your responses. James",1,bronze,5,Mon May 09 2016 11:59:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20822,None,None
/attilazz,Exploring Kobe's Shots,Nice ! thank you,1,bronze,6,Mon May 09 2016 17:30:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20823,None,None
/anokas,Corrupt image files,"I seem to be hitting some corrupt image files during my processing, namely the following: 9651181.jpg 14366881.jpg 11775274.jpg 9322814.jpg 10684636.jpg 12961761.jpg 9943584.jpg 9268406.jpg 13949795.jpg 12953041.jpg 13717141.jpg 9126754.jpg 651267.jpg 4515613.jpg copy Anyone else getting the same issue, or is my download the problem?",5,bronze,5,Mon May 09 2016 22:44:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20825,/competitions/avito-duplicate-ads-detection,2nd
/santanuds,taking a long time to score on the submission the results,"Can anyone give an idea how long it took to display the score once the results were submitted. It is taking a lot of time for me. Regards, Santanu",0,None,12,Tue May 10 2016 03:49:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20828,/competitions/expedia-hotel-recommendations,1206th
/rajgeriya,Help with machine learning problem,"i want to make a matchmaking engine between a group of buyers and sellers can anyone tell me what algorithm would be suitable for me? i know of gayle-shapley algorithm. also if i want to make self learning so what approaches i could take? data is mostly regarding location,industry and other factors.",0,None,1,Tue May 10 2016 03:56:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20829,None,None
/kuanchen,Why random forest does not work well?,"I currently work my model based on sklearn random forest. I select several features: orig_destination_distance, usr_location_city, srch_destination_id,hotel_market. I randomly sample, 10000 data from training set and train a random forest then aggregate the prediction of each forest. Though there are lots of categorical data in the training set, I read through [Link]:https://www.mail-archive.com/scikit-learn-general@lists.sourceforge.net/msg07373.html say that it still possible to apply random forest to such high cardinality data What I observe is that the oob score is around 0.35~0.39. However, the performance on test data drop to around 0.22. I have seen [Link]:https://www.dataquest.io/blog/kaggle-tutorial/ that say the ML technique might not work but still don't know exactly why? Especially the oob_score look not bad. Is ml technique totally not suitable for this problem or just because my model might overfit? Thanks a lot",2,bronze,21,Tue May 10 2016 10:29:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20831,/competitions/expedia-hotel-recommendations,121st
/rightfit,Cannot run script as zip files not in ../input,Hey I wrote a script to get the hashes - but cannot run it as the Zips are not in ../input. Any idea what directory I should use ?,0,None,3,Tue May 10 2016 10:45:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20832,/competitions/avito-duplicate-ads-detection,13th
/rightfit,Get Hash from Images,Don't worry the script will run - it is only that it does not find the Zips in input. Hope this helps lot of people who are staying away from the images. Once you download the Zips the script above should run fast. I have a 8 core Ubuntu. One image zip finishes under 15 minutes I have no idea about the efficacy of the hash though - this is just as is from the url mentioned above. Pls vote up if you use it,6,silver,17,Tue May 10 2016 10:53:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20833,None,None
/sishenhei7,Kobe Shots - Show Me Your Best Model,what if the outliers include the data we are to predict?,0,None,13,Tue May 10 2016 11:27:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20834,None,None
/g3n1u5,Turning Global temps by country into an enhanced dataset,"I started to get some really interesting results, once i applied some logic to the dataset, and got it into an enhanced dataset. The data set variables are; ID - Row Line dt - The original Date in the dataset Year - The observation year Month - The observation month Day - The observation day MName - Month in text ie jan feb mar SseasonT - southern hemi Season in text format NseasonT - Northern hemi Season in text format SseasonN - southern hemi Season by month in text format spring 1 spring spring 3 NseasonN - northern hemi Season by month in text format Hemi - hemisphere Band - latitudes broken up into 7 bands Country - country name AverageTemperature - original data AverageTemperatureUncertainty - original data Kelv - temp converted into kelve, so its a true ratio measurement. aAverageTemperature - stratified into 53 stratification numeric bAverageTemperature - stratified into 53 stratification text cAverageTemperature - stratified into 100 stratification numeric The recoding was performed by code, and by hand in some parts. Once relative analytics measures techniques were applied, and the stratification applied, specific temperature increases became apparent, even simply by looking at Jan data alone.",0,None,2,Tue May 10 2016 12:59:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20835,None,None
/aviatorx,this might be useful~,"In case someone wondering training on parts of the data, here is some CV info aiming for some qualitative trend: num of row = 360000, MAP5 = 0.285 num of row = 3800000, MAP5 = 0.383 num of row = all, MAP5 = 0.501 hope it helps",3,bronze,4,Tue May 10 2016 18:18:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20836,/competitions/expedia-hotel-recommendations,220th
/ashwinawake,My First Kaggle script,Thanks for sharing! I learnt something new from reading your script.,1,None,4,Tue May 10 2016 22:31:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20839,None,None
/oswaldoludwig,Keras + Eigenvalue Decay regularization,Eigenvalue Decay regularizer can be downloaded at GitHub: [Link]:https://github.com/oswaldoludwig/Eigenvalue-Decay-Regularizer-for-Keras,1,bronze,3,Wed May 11 2016 00:14:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20841,None,None
/tonyliu,bubble chart animated GIF,"Hi unBingo, Really nice post. I tried to replicate your animation (with my own charts) but not very successful so far. My animation works fine in the local html (based on RMarkdown fig.show=""animate"") , but it does not work for kaggle. Did you know if kaggle indeed support any animation without running from the commend console? Thanks,",0,None,2,Wed May 11 2016 02:53:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20844,None,None
/highspirits,What Next??,"Now that the competition is complete, I am curious to know answers for below questions - What is the actual result though? What the does model say about the customer satisfaction? What actionable insights have been discovered? What changes will be made because of those?",0,None,2,Wed May 11 2016 05:23:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20846,/competitions/santander-customer-satisfaction,1167th
/shahnawazakhtar,Curse of Overfitting (From Place 14th to Place 2484th),Here is the Script that would have got 0.828063 … [Link]:https://www.kaggle.com/shahnawazakhtar/santander-customer-satisfaction/14th-place-private-lb-script [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119513/4238/Screen Shot 2016-05-11 at 8.58.39 AM.png,0,None,7,Wed May 11 2016 05:35:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20847,/competitions/santander-customer-satisfaction,2479th
/altriaex,cannot unzip data in Ubuntu 12.04,"Dear all I try to download and unzip the data files on a Ubuntu 12.04 machine, but failed. Here is what I did: wget ""https://www.kaggle.com/c/avito-duplicate-ads-detection/download/Location.csv.zip"" unzip Location.csv.zip Here is what I got: Archive: Location.csv.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zipfile comment will be found on the last disk(s) of this archive. unzip: cannot find zipfile directory in one of Location.csv.zip or Location.csv.zip.zip, and cannot find Location.csv.zip.ZIP, period. I also tried jar xvd Location.csv.zip But it didn't work, either. I was wondering if anyone could help me ? Thanks",0,None,4,Wed May 11 2016 07:41:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20848,/competitions/avito-duplicate-ads-detection,489th
/northcity4,function not found,"I am finishing up the R tutorial and when I typed in the 'patch size code portion below coord_x <- paste(coord, ""x"", sep=""_"") coord_y <- paste(coord, ""y"", sep=""_"") patches <- foreach (i = 1:nrow(d.train), .combine=rbind) %do% { im <- matrix(data = im.train[i,], nrow=96, ncol=96) x <- d.train[i, coord_x] y <- d.train[i, coord_y] x1 <- (x-patch_size) x2 <- (x+patch_size) y1 <- (y-patch_size) y2 <- (y+patch_size) if ( (!is.na(x)) && (!is.na(y)) && (x1>=1) && (x2<=96) && (y1>=1) && (y2<=96) ) { as.vector(im[x1:x2, y1:y2]) } else { NULL } } mean.patch <- matrix(data = colMeans(patches), nrow=2*patch_size+1, ncol=2*patch_size+1) copy I kept getting an error that R is not finding the %do% function. I looked over google and found no help whatsoever.",0,None,1,Wed May 11 2016 07:51:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20849,/competitions/facial-keypoints-detection,None
/rightfit,Tips from previous Avito Competitions,Hi I was wondering if some would like to share Tips from previous Avito competitions - specially on Russian. I have the following queries 1) Title / Description / Json attributes : Are they uniform in their spelling and grammar across the train and test ? I.e Is some kind of spell corrections (like HomeDepot) recommended ? 2) [Link]:http://wordnet.ru/ : Did any one use it ? Good / Bad ? 3) Stemming and Lemma with nltk on Russian : Did any one use it ? Good / Bad ? . 4) How about WordNetLemmatizer with NLTK ? Thanks (if no one answers :) will find out in few days time and post here),0,None,6,Wed May 11 2016 09:16:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20850,/competitions/avito-duplicate-ads-detection,13th
/del=2b8e93c7e705b5cb,file numbering after download,"Are files numbered consecutively: 1,2,3,4,5,6 etc or are they more random because I have got some file numbers missing after download? Thanks for your help. I cant enter the competition if the numbers are supposed to be consecutive.",0,None,1,Wed May 11 2016 09:25:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20851,/competitions/state-farm-distracted-driver-detection,None
/matteopresutto,Local score highly underestimates loss,"To estimate the loss locally before uploading any model I splitted test and train sets taking care of the fact that there should not be the same people in those sets, to do that I put all p064, p66, p72, p75, p81 images in the test set and everything else in the train set. Now, I've been able to achieve a loss of 0.54 with a model that locally achieved just 1.4, what might the reasons be? Edit: Sorry for the title, I meant ""overestimates""",0,None,2,Wed May 11 2016 09:58:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20852,/competitions/state-farm-distracted-driver-detection,53rd
/mightybird,Update from the machine room,"I learned so much from the Kaggle community that I wanted to share some information for this competition. Not too specific and not a script at the moment of course, but still. I did not yet reach 0.5 but only 0.00022 is missing… Fist of all I created a train and a validation partition randomly (no time split!) using only 10% of the train data. I thought of creating further such sets to do cross validation but so far the single set served me well. This needs around 3 minutes for a validation and evaluation run in my perl script per try. This allows for a lot of trial and error when looking for the right parameters. The script takes 40 minutes at the moment for the complete data set. I run it usually 2-3 times per day, depending on the results of the validation runs. In the script I use some of the data leak solutions but I also created some features/cluster sets on my own. This results in several sets of probable hotel clusters from which I can choose. Choosing and sorting of course is the crucial part. When doing a validation run I look at the results and how they were achieved. I evaluate hits and misses. I found that from my 30,000 validation instances only ~370 were completely misclassified. I was surprised. For all others the real hotel cluster was somewhere in the prediction! When looking at the misses I could mostly not see how I could have correctly forcasted them. So I think the rest of the work is either create new sets of possible clusters or rearrange the current predictions somehow. By the way: I created another perl script that can merge submission files in a weighted way. So if you have two or more good submission files you possibly get a better one afterwards. Cheers Gerhard",4,bronze,4,Wed May 11 2016 10:06:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20853,/competitions/expedia-hotel-recommendations,106th
/dichotomy42,Kaggle beginner guide written by a Kaggle beginner :),Hey guys. I wrote a Kaggle beginner guide based on my own experience and what I learned from other brilliant Kagglers. Hope this helps! Also feel free to suggest how to improve it :) [Link]:https://dnc1994.com/2016/05/rank-10-percent-in-first-kaggle-competition-en/,20,silver,10,Wed May 11 2016 10:52:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20856,None,None
/mchahhou,user_id,does the user_id in Train and Test sets refer to the same person?,0,None,5,Wed May 11 2016 12:05:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20857,/competitions/expedia-hotel-recommendations,827th
/toshik,44th place solution,"Hi Everyone, Ending final validation, I share my solution. My solution is based on Neural Network, Gradient Boosting and K-Nearest Neighbor. Code: [Link]:https://github.com/toshi-k/kaggle-santander-customer-satisfaction [Image]:https://raw.githubusercontent.com/toshi-k/kaggle-santander-customer-satisfaction/master/img/solution.png",15,silver,10,Wed May 11 2016 12:28:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20858,/competitions/santander-customer-satisfaction,44th
/whoisit,Statistics degree or CS degree for Data Science,"Hi all, my background is Bachelor degree in IT, I'm considering to enrol in master of statistics or master of computer science. Which one is a better fit for data science? Do data scientists need advanced math/stat skills such as real analysis, measure theory probability, stochastic process?",4,bronze,27,Wed May 11 2016 13:17:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20860,None,None
/alicegif,Small sample data?,"I wanted to get some idea what the data was like without downloading over wifi and unzipping on a slow laptop. Would someone who has downloaded the train data be able to post some sample pairs here? I was thinking something like getting data and images against one ad with maybe 10 of its pairs, including duplicates and non-duplicates.",0,None,6,Wed May 11 2016 13:30:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20861,/competitions/avito-duplicate-ads-detection,None
/shahnawazakhtar,14th Place Private LB Script ,Use Xgboost in place of logistic regression,0,None,2,Wed May 11 2016 14:43:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20863,None,None
/dot277,How do you do feature selection here?,"I thought of trying to use random forest for that, But not enough memory for the one hot encoding. How do you do feature selection?",0,None,2,Wed May 11 2016 16:02:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20865,/competitions/expedia-hotel-recommendations,None
/dot277,Are there any competitions that are similar to this one with regard to data size?,"There's airbnb for example, but the data size there is much smaller.",0,None,1,Wed May 11 2016 17:24:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20866,/competitions/expedia-hotel-recommendations,None
/scubadiver007,data science newbie,"Hello, I found this site through Linkedin because I saw two members of one of the groups had recommended it so here I am! :) Bit of background - my academic background is in maths and statistics: college (pure maths and statistics), undergraduate (psychology and statistics) and postgraduate (applied, social and market research). I have working knowledge of SPSS and I also have worked in market research using SAS so I have the background, the knowledge and the mindset for such work. I appreciate you may think it is mightily impressive but my career has not gone that well as the last few years I have only used Excel and Access in analyst roles. I was dithering over whether to learn R last year but I've decided to give it a go and see what happens. I like to think this effort will lead somewhere in re-vitalizing my future in whatever form that may take. David",0,None,2,Wed May 11 2016 18:11:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20867,None,None
/dataeverywhere,Mapping and Visualizing Violent Crime,Great work :),4,bronze,14,Wed May 11 2016 19:53:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20870,None,None
/rudikruger,Python XGBoost Starter - 0.74,Nicely done,0,None,15,Wed May 11 2016 20:28:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20871,None,None
/anaconda,Welcome ,"Welcome to the 5th Facebook recruiting competition! This time, we prepared a ranking problem for you, hope you'll enjoy it. This competition is particularly exciting for me personally - I got hired after participating in [Link]:https://www.kaggle.com/c/facebook-ii. Now, three years later, I am helping to organize a similar challenge. We will maintain the forum presence to answer any data- and recruiting-related questions. Have fun and thank you for participating!",26,gold,21,Wed May 11 2016 21:45:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20872,/competitions/facebook-v-predicting-check-ins,None
/figgybit,Cell Phone Data Background,I am curious about the usage of Time. Are these locations that change over time? Perhaps a mobile food truck? Then in relation to Accuracy How is accuracy determined in the real world? Would it be in relationship to the distance the user is from a cell phone tower? Will more towers improve accuracy or diminish it?,2,bronze,5,Thu May 12 2016 00:31:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20874,/competitions/facebook-v-predicting-check-ins,None
/carrdelling,Questions about the data,"/summon [Link]:https://www.kaggle.com/Anaconda & [Link]:https://www.kaggle.com/Ampersand: What is the meaning of the accuracy values? Does a high number implies a high accuracy? Or a low accuracy? Are the places static? (i.e. for a given place_id, does x and y stay unchanged?) Or do we have mobile locations? What is the time unit used for timestamps? Seconds, milliseconds? Thanks!",0,None,6,Thu May 12 2016 00:50:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20875,/competitions/facebook-v-predicting-check-ins,18th
/kuanchen,Quick look at the data,"[Link]:https://www.kaggle.com/anokas Thank you for your sharing! I would like to ask what does you mean about ""algorithm which trains using a one vs all approach"". Is it something like SVM, Radnom Forest those typical machine learning technique?",1,bronze,11,Thu May 12 2016 03:06:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20876,None,None
/davidtran,File Checksums,"In view of the very large download sizes, could we please get some checksums for the data files so we can verify their integrity? Thank you in advance.",1,bronze,2,Thu May 12 2016 05:03:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20877,/competitions/avito-duplicate-ads-detection,541st
/sircausticmail,What is the best machine configuration for competitions such as this one (with huge data sizes)  to be able to participate?,"My machine is a 8GB, 2.4Ghz, 64bit, windows machine. Not sure if it is apt for such a competition. Or are there alternatives, such as some techniques or online platforms that help me analyze data so huge.",0,None,7,Thu May 12 2016 05:20:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20878,/competitions/avito-duplicate-ads-detection,None
/abednadir,levels in sample submission,"when i load the sample submission into R I see that it has as many factors for predictions as it does rows. shouldn't it only have 100,000 or so?",0,None,1,Thu May 12 2016 05:30:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20880,/competitions/facebook-v-predicting-check-ins,569th
/zeraes,Exploratory Data Analysis,"This is very nice, thank you. I had actually suspected the within-place var(x) > var(y) pattern based on the picture on the data page (take a look!).",3,bronze,15,Thu May 12 2016 05:37:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20881,None,None
/virtuoso,Score evaluation: too many half-integers?,"Hi there! I have question on score evaluation. If a participant uses distinct numbers 1,2,3,4,5 in each row of submission file, then formula rs=1−6⋅SquareSumsn(n2−1) can be used, and since n=5, then rs=1−SquareSums20. If number of tests is N (N ~ 0.17274 ~ 44…49), then score is R=1NN∑s=1rs=120NN∑s=1(20−SquareSums). But (!) SquareSum_s is integer in this case, so 20N*R must be integer, right? When consider scores from 'raw data' archive and multiply each by 20*49 (use N=49), then one will get a lot of (almost) integer numbers, which is expectable; but *many half-integers too* (like 3.5, 10.5, …). I used distinct 'days' 1,2,3,4,5 in each row of my draft submission file, and have got half-integers sometimes. Question: Why half-integers occur so often? a - I can't believe that so many participants use non-distinct 'days' in submission files. b - maybe wrong my calculations? where? c - maybe divide by 2N, not N (to get scores in [-0.5, 0.5])? but no, looking at current LB; d - other reasons?",1,bronze,7,Thu May 12 2016 07:26:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20884,/competitions/draper-satellite-image-chronology,10th
/dmitrdv,this is san francisco,"Is it SanFrancisco? It real size is about 10x10km (see 1-0.png and 1-1.png) Plot x, y for top 10 place. You see that places are situated on horizontal manner. SanFrancisco has accurate geo layout with horizontal and vertical streets which cross each other with 90% (see 2.png) Another features: Accurracy diameter is small on the middle of the 10x10km because of in the center of this city is more mobile phone base stations, more wi fi and so on. I think that location of users is determined by them. (see 3.png) Plot the density of the time values. I think time is ""real datetime - some constants"". Two drops - is night. The period is maybe Saturday, Sunday, Monday (see 4.png) Later I try to plot heat map and compare it with [Link]:https://data.sfgov.org/Economy-and-Community/Registered-Business-Map/vt9c-aeiw So if I am right we may use a lot of information from [Link]:https://data.sfgov.org/ When I receive sms from kaggle I can write my investigation in Kaggle Scripts. I have a problem with receive sms now :( [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119666/4241/2.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119666/4242/1-0.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119666/4243/1-1.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119666/4244/4.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119666/4245/3.png",1,bronze,3,Thu May 12 2016 07:41:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20885,/competitions/facebook-v-predicting-check-ins,486th
/osopova,"So completely confused about check-in vs (x,y) vs place_id","At first, I thought I got it but after reading the forums, I am confused. Please take a look at the picture: [Link]:https://drive.google.com/file/d/0B8QmAW82Te3xRlBzMGJHcF9DT0h3WE1MNE10TFRabmRLTmYw/view?usp=sharing Do I understand correctly that (x, y) in the dataset correspond to (x1, y1), (x2, y2) coordinates of the users in the picture; place_id corresponds to some assigned id of the CoffeeshopA in the picture? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119667/4247/sample_map.jpg",5,bronze,8,Thu May 12 2016 07:48:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20886,/competitions/facebook-v-predicting-check-ins,None
/akshaykher,Data Dictionary,"action_type: Different shot types (total 57) combined_shot_type: General shot types (total 6) game_event_id: Unique id to identify each game (1558 for train set) lat: latitude of the stadium lon: longitude of the stadium loc_x: x-axis location from where the shot was taken (-250 = right bottom to 250 = right top when basket is in right center) loc_y: y-axis location from where the shot was taken (-40 = right side to 900 = left side when basket is in right center) minutes_remaining: minutes remaining in a period (max 12) period playoffs: period of play (in general there are 4 but in case of ties it can extend, in this case till 7) season: NBA Season (1996-97 to 2015-16) seconds_remaining: seconds remaining in a period shot_distance: distance (in meters) from where the shot was taken shot_type: 2Pt or 3Pt shot_zone_area: Basketball Area from where the shot was taken (BC, C, LC, L, RC, R) shot_zone_basic: Basketball Zone from where the shot was taken (Total 7) shot_zone_range: Range (in meters) from where the shot was taken (<8, 8-16, 16-24, 24+, Back Court) team_id: Always same (LA -> id) team_name: Always same (LA) game_date: Date at which the game was played matchup opponent: Opponent Team shot_made_flag: If the shot was a hit or a miss (Dependent Variable)",2,None,3,Thu May 12 2016 08:28:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20888,/competitions/kobe-bryant-shot-selection,620th
/cysmith,typo,train.zip -zip file containing the images in the training set (.jpg) test.zip - zip file containing the images in the training set (.jpg),0,None,1,Thu May 12 2016 08:42:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20889,/competitions/painter-by-numbers,None
/abhishek,weird rules?,The rules say Sharing of code or data is NOT permitted and we have scripts?,2,bronze,4,Thu May 12 2016 09:31:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20890,/competitions/facebook-v-predicting-check-ins,171st
/samirello,Határidő,"Sziasztok, A tegnapi órán felmerült igényként, hogy vannak olyanok, akik szeretnének már jövő héten jegyet kapni a tárgyból. Ezzel kapcsolatban szeretném felnyitni azt a kérdést, hogy mikor legyen a verseny leadásának határideje. Mivel elég sokat késlekedtünk a kiírással, és igényként ti is azt fogalmaztátok meg, hogy minél több időtök legyen a versenyzésre, ezért döntöttünk a június elejei határidő mellett. Ez viszont részünkről módosítható. Ami viszont nem lehetőség az az, hogy néhány embernek máskor van a határidő. A követelmények természetéből fakadóan mindenkinek egyidőben fog zárulni a verseny. Arra kérlek benneteket, hogy írjátok meg kommentben, hogy milyen határidőt szeretnétek és ezek figyelembe vételével fogunk dönteni erről. Köszi.",0,None,5,Thu May 12 2016 11:20:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20894,/competitions/dap-2016-nagyh-zi-kickstarter,31st
/nageshk,Its nobody's fault,"I strongly believe that the leader board shake-up is just my greed for climbing up (at least for me) and poor CV and holdout set feedback. The attached image reminds me of a lesson(and again teaches me now in a harsh way) from [Link]:https://www.kaggle.com/owenzhang1, ""often the ideas that you get in the very beginning work well"". The attached image shows my submissions performance on public and private LB. It was shocking to see that my very first ""actual"" submission would have given me 80th rank on private LB Of course, had I got a nice CV feedback I wouldn't have taken those ""over fitting"" scripts seriously. I've always thought feature engineering would really play a crucial role in this competition and striven till the end in that belief. Looking forward to know where you might have placed if you had selected the best submission file. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119697/4250/SUBMISSION_FILES.PNG",0,None,2,Thu May 12 2016 11:47:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20895,/competitions/santander-customer-satisfaction,1425th
/vykhand,Leakage solution with Spark SQL / pyspark,"Hi all, I know many of you are struggling with the sheer volume of 4 GB, as we all know, if it crashes your Excel, it is Big Data :) I want to share with you all a starter script that imitates ZFTurbo's leakage solution and uses Spark to crunch the dataset and build aggregates. [Link]:http://nbviewer.jupyter.org/gist/vykhand/1f2484ff14fbbf805234160cf90668b4 [Link]:https://gist.github.com/vykhand/1f2484ff14fbbf805234160cf90668b4 I don't think there is a way to make it a Kaggle script, but if there is, please let me know",18,gold,2,Thu May 12 2016 12:37:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20896,/competitions/expedia-hotel-recommendations,298th
/msjgriffiths,Learning SQL - the dplyr way,"Nice! I'd suggest you look at window functions. You could do a trivial one, e.g. ""For each institution, rank each complaint 1 .. n in order of increasing date. Examine the first, the 10th, and the 100th complaints across institutions."" P.S. I'm a little surprised you didn't demo the dplyr -> SQL conversions. e.g. library(dplyr) db <- src_sqlite(""../input/database.sqlite"") consumer_complaints <- db %>% tbl(""consumer_complaints"") consumer_complaints %>% head(10) %>% show_query() copy Or: consumer_complaints %>% filter(company == 'Bank of America') %>% group_by(date_received) %>% summarise(count = n()) %>% show_query() copy … to see the SQL dplyr generates and how manually written queries compare.",1,bronze,1,Thu May 12 2016 14:00:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20897,None,None
/ajrwhite,Ideas for large datasets which can be used for ML dissertation,"Hi Kagglers, From June-August I will be working on my MSc dissertation on the subject of [Link]:http://www.jmlr.org/papers/volume16/vapnik15b/vapnik15b.pdf, an idea put forward in the last few years by [Link]:https://en.wikipedia.org/wiki/Vladimir_Vapnik (currently at Facebook AI, but previously on the faculty at my university Royal Holloway, London, hence the interest). The basic idea is that you have a training dataset which contains additional (""privileged"") information that won't be seen at the test stage. Examples: in an image recognition task, the training images are higher resolution than the test images in a credit scoring task, for the training cases we have additional data about the customers' interactions with their bank that won't be seen at the test stage So really you want a dataset with two levels of complexity, where the variables at each level of complexity are somehow related. One approach is to simulate this (e.g. to add noise to your test data), but I would love to work with a dataset where these conditions occur naturally, as it will have more real-world relevance. Unfortunately, very few Kaggle datasets are licensed for academic research. However, I thought the Kaggle community might have some good suggestions of publicly available datasets that fit the bill, and I'm sure others on here will find this information useful. Any ideas? Thank you in advance, Andy",0,None,5,Thu May 12 2016 14:02:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20898,None,None
/nschneider,Kaggle Notebook - Save and Submit,"When developing a notebook I don't necessarily need or want the current form of my script to run in its entirety. It would be nice to have functionality to save the current version of the script without the engine running the entire script in the back ground. I would propose a 'save' and 'submit' button. The save button would be associated with a development(unreleased) version of the notebook and the submit button would commit the code to your notebook as an officially released version. Thanks, Neil",17,bronze,2,Thu May 12 2016 14:50:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20900,None,None
/rishabhs526,Winning entries,"Hi Guys, This was my first data science competition and I thoroughly enjoyed the experience of participating and learning. I was able to get a score of 0.85 by using some basic keyword search and gradient boosting. However, when I tried to use more sophisticated techniques like text mining techniques like LSA or PCA and used XGBoost for prediction, my score dropped drastically to 0.35. I would like to see how the winning team used these same techniques with success and am wondering if some one would like to share their code / pseudo-code from the competition. Also, I'd appreciate if the organisers can load the prediction data with the actual hat values instead of -1 so that I can continue to play with my code and test the predicted accuracy. Thanks, Rishabh",0,None,2,Thu May 12 2016 14:53:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20901,/competitions/melbourne-datathon-2016,30th
/italotf,Different destination distance for same conditions,"Hi, how is it possible that for the same user location country, user location region, user location city, hotel_market and srch_destination_type_id, I see different orig_destination_distance. In fact, if you look at user 11800 you'll find 2 rows where all the values where the same, except for orig_destination_distance and date_time",1,bronze,2,Thu May 12 2016 15:23:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20902,/competitions/expedia-hotel-recommendations,1651st
/mudit1,What tools are you using?,I am interested to know what tools or software you are using for analysis? Those on the leaderboard any tips for those trying this out for the first time?,0,None,3,Thu May 12 2016 15:24:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20903,/competitions/sas-analytics-challenge,54th
/alicegif,Oversampling?,Can we ask the people at Avito who developed this contest whether they used oversampling to choose more ads that were duplicates than there were in the overall population of ads? How could we ask other questions?,0,None,1,Thu May 12 2016 16:45:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20906,/competitions/avito-duplicate-ads-detection,None
/vipink21,Job Description: 5+ year experience?,Does 5+ years of applied ranking or machine learning experience is a must requirement to get an interview call or job for this position??,0,None,5,Thu May 12 2016 17:59:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20907,/competitions/facebook-v-predicting-check-ins,None
/carlosdelamora,General question ,"I am sorry for the basic question but I am new to this. What is the meaning of ""The train and test dataset are split based on time, and the public/private leaderboard in the test data are split randomly.""",0,None,2,Thu May 12 2016 19:10:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20909,/competitions/facebook-v-predicting-check-ins,None
/anokas,R XGBoost example,Interesting script! Why did you opt to use 'reg:logistic' as your XGBoost objective rather than 'binary:logistic'?,3,bronze,2,Thu May 12 2016 19:16:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20910,None,None
/cysmith,image group selection?,"""each image in a group is compared to all the other images in that group. There are 13 groups, each with approximately 1400 - 2000 images."" Were the images in each group chosen at random? Like can we assume there is no correlation between the images in a given group?",0,None,1,Thu May 12 2016 19:24:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20911,/competitions/painter-by-numbers,None
/senorcampos,On Time,"Nice work. I extended it slightly to visualize weekly cycles (timeToTest=24607) and the ""minutes"" interpretation still looks reasonable. Looks like there is a weekday / weekend clustering for the places.",0,None,7,Thu May 12 2016 19:45:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20912,None,None
/konradb,EHR_1,"The only change i made is the weighting of past observations: instead of assigning 2013 -> 1 and 2014 -> 2, the weights change per month, decreasing in a linear fashion as we move to older historical observations.",0,None,4,Thu May 12 2016 20:56:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20913,None,None
/albertklee,Number of predictions required for each row_id?,"I see that the sample submission looks like following: row_id,place_id 0,3073560757 9004412889 5652080691 1,1652178628 4379515211 6612350960 2,4894407065 3920195083 7608574746 3,7272466660 2004687925 1455486822 4,4720452725 4967325204 4782917866 .. copy That is, each row has three place_id(s) Questions: 1) Do we have to provide three predictions for each row_id? or can it have more? 2) Does the order of place_ids matter?",0,None,5,Thu May 12 2016 22:07:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20914,/competitions/facebook-v-predicting-check-ins,None
/rudikruger,R XGBoost example,Added another string distance feature in line 102. Longest common title substring / max title length,1,bronze,2,Thu May 12 2016 22:36:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20916,None,None
/cdyzhao,Memory error when reading training files using pandas,"I'm quite a beginner at Kaggle. This question may be common and kind of silly, but could someone help me with this? When I tried to read the training file ""train.csv"" using pandas function read_csv(), I met the Memory error. My operation system is Windows in 64 bits, and my RAM has 8GB. I think the RAM is big enough to store the data. Did I do something wrong? How do you guys handle the big data? Thanks! EDIT: Thanks for all the help! The problem has been solved. I used python of a 32-bit version on my 64-bit system, which got me into trouble.",0,None,3,Thu May 12 2016 23:08:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20918,/competitions/facebook-v-predicting-check-ins,None
/abednadir,how long for you to run k-nn? other algorithms?,"It is taking me over 2 hours to run 1-nn with 16 gb ram. i wanted to use svm and incorporate the accuracy in the soft margin somehow, but I'm having doubts about it finishing in time to submit before the deadline",0,None,2,Fri May 13 2016 03:45:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20921,/competitions/facebook-v-predicting-check-ins,569th
/valeriur,"Candidates must have, or be eligible to obtain, authorization to work in the US.","H1B quota ended in april and there would not be any new visas till the april of the next year and it is the only way for most of us to obtain authorization to work in the US, now if someone who needs H1B to legally work in the US wins this competition will it be hired in the next year or that means that he is not eligible for this competition?",1,bronze,3,Fri May 13 2016 08:19:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20923,/competitions/facebook-v-predicting-check-ins,77th
/hamidbadri,"lifestyle data set about Alzheimer or cancer (breast , prostate)","Hi Dears, I need some lifestyle data set that are preferably about Alzheimer, prostate cancer or breast cancer. If anybody guide me to find reference, site or repository , I will really grateful. thanks a lot.",0,None,2,Fri May 13 2016 08:39:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20924,None,None
/kranthineo,Will I be inserting a leak with summary features,"Hello If I took statistics about user interests from training data for example, number of times user i has clicked cluster j in month k(same for booking), total number of clicks, bookings on cluster j in month k and insert them as new features along with existing training data. Will this create a new data leak in this model?",0,None,1,Fri May 13 2016 08:59:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20926,/competitions/expedia-hotel-recommendations,None
/leonlu,Another Way to Know the Time Definition,"And week time is 10080, very close to the period found from over all histogram (10079.987). In the FFT of place_id 8772469670, 64 is the closest integer to the period 10080.",11,silver,7,Fri May 13 2016 10:33:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20927,None,None
/del=c847b078443444b2,Platforms of a Railway station ?,"I imagined the check-in hubs (place_id) when plotted would look something like a circle with high accuracy points near to the center and lower accuracy points far away from the center. But after actually plotting few check-in hubs, it looks like FB have give us the data of passengers checking in railway station at different platforms. Thanks to msjgriffiths for sharing the lovely data exploration. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119866/4253/FB train.jpeg",6,bronze,8,Fri May 13 2016 12:38:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20928,/competitions/facebook-v-predicting-check-ins,426th
/amir4d,"Using a part of training data for designing an ""in-kaggle"" contest for educational ","Dears, We are going to use a part of the training data for designing an in-kaggle class competition as a courses' assignment. Is it OK? or we must follow some copyright rules?",0,None,1,Fri May 13 2016 13:25:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20930,/competitions/galaxy-zoo-the-galaxy-challenge,None
/utkarsh6,Data exploration and visualisations,"Impressive work, but how are you even reading the data. I get a memory error if I even do pd.read_csv(""whatever.csv"") ?",0,None,13,Fri May 13 2016 14:36:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20932,None,None
/del=2612cfbf105b37da,24 GB files and speed of program,I have 2 ghz processor and 4 GB memory. Will my computer cope with 24 gb file download. Is it possible to do this competition using these and a slow Python program. I understand python is many tens of times slower thasn other languages. Is this right? Also I have tried doing processing in past with excel vba but it makes mistakes with large files. Why?,0,bronze,1,Fri May 13 2016 14:49:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20934,/competitions/draper-satellite-image-chronology,None
/yxs4406,Education comparison ,"I hope ""fitter"" package is available in Kaggle soon.",0,None,1,Fri May 13 2016 15:39:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20935,None,None
/jonathankchang,High instability in local validation loss?,"My validation loss per epoch jumps around a lot from epoch to epoch, though a low pass filtered version of it does seem to generally trend down. The training loss is very smooth. What does that signify? Ideas: Too small of a validation set (10%) Not enough data for the problem complexity Validation set is unnecessarily hard Overfitting Validation set details A cursory look at the train/test didn't show drivers in both the training set and test set each driver's class distribution is approximately equal in the training set To test generalization on people it has never seen for the real world, and to match the construction of the test set from the above details, validation loss is selected by randomly selecting drivers and moving them and all of their classes into train or validation dividing train/test randomly doesn't have this issue, but of course yields is due to the correlations in train and test dividing randomly by driver + action (instead of just driver) would likely yield smoother validation loss but seems to not match the test set construction Other details Reducing the learning rate reduces the variability. Note that I am using an ""automatic"" learning rate optimizer (ADAM) Does this mean its overfitting? Though the general trend of the validation loss is still going down. Is the validation set unnecessarily hard? While I didn't see the same drivers in the training set vs test set, perhaps there drivers (and the way they dress) that look very similar, and given the amount of training data, selecting a validation set by driver+action may be okay. I like to think of the public LB as something I should make few decisions on to prevent overfitting vs the private LB. However, validating my validation set quantitatively may make sense here: I could submit evaluations of weights in neighboring epochs with large variability in validation loss, to see if its reflected in the LB test set.",4,bronze,2,Fri May 13 2016 16:45:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20936,/competitions/state-farm-distracted-driver-detection,49th
/kcmbonu,Loan schema,"Hi, i wants to load the load data into SQLite browser how can i do that ?????",0,None,2,Fri May 13 2016 16:58:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20937,None,None
/joseluso,Is it possible to add extra information?,I'm new on this… so I have to ask… Is it possible to add extra information to your model? For example more data about the events… Thank you for answering…,1,bronze,1,Fri May 13 2016 18:24:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20938,/competitions/facebook-v-predicting-check-ins,None
/howardxie,Question regarding accuracy column,"Hi, in training set and testing set there both exists an ""accuracy"" column, in the data description page it states that ""accuracy: location accuracy"". My interpretation of this is that - accuracy is solely related to x,y coordinates (locations), for example a person may do facebook checkin at location (x1, y1), but in dataset it is recorded that this guy is at (x2, y2). And accuracy column is generated as a measure of difference between (x1, y1) and (x2, y2). Is the above interpretation correct? If not - then why does the data description page states ""accuracy: location accuracy""? Thanks in advance.",0,None,3,Fri May 13 2016 18:38:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20939,/competitions/facebook-v-predicting-check-ins,None
/zeraes,Tips for fast prototyping in R,"I'm new to Kaggle and machine learning. I work in R. I want to experiment with different approaches, but I'm finding that things run way too slowly --- I haven't even finished a full prediction for test yet. When I work on data sets from my own field, I often subset to a tiny piece of it while developing methods, but I also know that it's important to get something representative. I have to use my intuition about the data to do this. I was wondering if others run into computational problems; if not, my programming is too slow (unoptimized code, e.g.). If not, what strategies do people use while experimenting with the data? Just trying to get a since of whether this is a common problem (this data set isn't even that big), or how others work around it. Any commiseration or insight appreciated :)",0,None,3,Fri May 13 2016 18:39:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20940,/competitions/facebook-v-predicting-check-ins,862nd
/ivybug,How can I know the dimension of X?,Just like the title.,0,None,1,Fri May 13 2016 18:45:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20941,/competitions/large-scale-classification-sysu-2016,155th
/svendegroeve,Data mining your predictions,Hi all RalfG did a great job. However. The difference in private leaderboard AUC between RalfG and LieselotteWerbrouck is very very small. You would think it is just a matter of luck. So. In this topic I will try to create some plots that provide more insight into the predictions you all made. To start with I plotted your best predictions against the best predictions of the other kagglers in a [Link]:http://stanford.edu/~mwaskom/software/seaborn-dev/examples/scatterplot_matrix.html. Notice how the predictions actually differ very significantly! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119913/4255/smatrix.png,1,None,5,Fri May 13 2016 20:12:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20943,/competitions/hiv-1-protease-cleavage-sites,None
/narimiran,Absolute beginner,"Is there a way to import (locally made) Jupyter Notebook? I haven't found one so I copy-pasted each cell, and this took way too long.",0,None,11,Fri May 13 2016 20:17:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20944,None,None
/st12iker,Theoretical data mining ?!?,"Hello… I hold an applied degree in Statistical Computing / Data Mining. I believe (am I correct ?!) that having an understanding of the theoretical basis of the statistical and machine learning aspects of data mining would greatly benefit my data science endeavors … Where do I start? Ive rarely taken theoretical courses … I know they are theoretical courses (Elements of Statistical Learning Hastie et al, Caltech ML MOOC) but I can barely grasp their theoretical framework … I don't want to pursue a PhD fulltime* !!! (open to parttime, no?) Cheers, JH",0,None,2,Fri May 13 2016 20:27:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20945,None,None
/thequants,Looking for a teammate (My current position: 2 - AUC 88.24),A good teammate would be great!,2,bronze,2,Fri May 13 2016 21:04:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20946,/competitions/avito-duplicate-ads-detection,2nd
/andersonk,Timestamp structure,"Now that I think about it, the peak at 5000 is probably a harmonic of the weekly oscillation because it's not exactly sinusoidal.",0,None,19,Fri May 13 2016 22:16:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20947,None,None
/sionek,Simple Validation,Simple validation for models based on Leakage solution by ZFTurbo. Final score is a little bit overestimated against LB (~0.005) if you use half of train as validation set and much more overestimated if the ratio of volumes validation/train is lower. I hope it may be useful to evaluate one model against the other.,5,bronze,1,Fri May 13 2016 22:33:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20949,None,None
/yhenon,Images with wrong file extension,"A number of images in the training dataset have a filename such as XXXX.jpg, when they are in fact GIFs. This is a minor issue, since some libraries, including OpenCV, will not open GIF files. Some images (such as 121.jpg) also have transparency, which JPEG doesn't support. In the training set, the following are misnamed: 121.jpg 32150.jpg 32192.jpg 32577.jpg 38324.jpg 43658.jpg 50789.jpg 65430.jpg 69008.jpg 77094.jpg 80945.jpg 84021.jpg 84772.jpg 95897.jpg 97976.jpg",1,None,5,Fri May 13 2016 22:41:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20950,/competitions/painter-by-numbers,6th
/chengcen,Exploring Data,"thank you for your finds. I have a small opinions, in the datetime.datetime.fromtimestamp() document, it say to convert the second data into the time format, so here we are dealing with the minutes data, that means we should *60 and then convert it. In this way the weekday is already uniformly distributed.",0,None,2,Sat May 14 2016 03:05:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20952,None,None
/zfturbo,MSB with Validation,"I added validation part to my previous script: [Link]:https://www.kaggle.com/zfturbo/facebook-v-predicting-check-ins/mad-scripts-battle It works the same, but also predicts score. I decided to add it as new script since it requires more time to run. Also take a look at new variables: time_of_week = time1 % 10080 day_of_week = math.floor(time_of_week / 1440) hour_of_day = math.floor(time_of_week / 60) % 24 copy They can be useful for script tuning in time space.",1,bronze,15,Sat May 14 2016 07:23:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20954,None,None
/beyondbeneath,Centroids of places in FB check-in data,"There are sometimes huge outliers, so I wonder if a median isn't safer.",1,None,1,Sat May 14 2016 09:11:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20955,None,None
/pcvidhya,hotel_cluster Column,I do not see Hotel_cluster column in the Testing dataset. Anyone having the same problem?,-1,None,2,Sat May 14 2016 11:04:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20957,/competitions/expedia-hotel-recommendations,1653rd
/sasrdw,Perfect Fit to Public and Private LB?,"Would anyone be interested in working with me to try and completely reverse engineer the labels for the public and private leaderboards? The primary motivation is a working hypothesis that the particular split used for this competition happens to randomly be an outlier among all possible splits, thus driving some of the craziness we've seen in the final results. Plus it would be a fun exercise in extreme overfitting. Organizers, please put the kibosh on this right away if either you or Santander do not want us to do this (or perhaps it's already a violation of rules I didn't read). We love Kaggle and do not want to do anything inapropos. The AUC criterion appears to be robust against cleverness like we saw from team BAYZ in Restaurant Revenue, but if you have any ideas along these lines, please reply! BTW, has the BAYZ official solution ever been published? One naive and brute force approach would be to make 75818 submissions with a single 1 for each of the IDs in turn and 0s everywhere else. If the AUC drops slightly below 0.5 then the true label is a 0, otherwise a 1, and we can also determine if the label was in the public or private split. However, this many submissions is daunting even in a crowdsourced environment. So how about we just try to wacky boost overfit this and see if we can get all the way there? As a start, the attached file achieves 0.841243 public and 0.830489 private. I got it by ensembling recent posts from Justfor, Antonio, and Akhtar (thanks guys). I then fit a ridge regression to all of my submissions, computed best linear unbiased predictor (BLUPs) for each ID, and used this as a gradient search direction to improve the ensemble. This latter step provides a nice little boost. To participate, please take one or more files posted in this thread, ensemble them with your best submissions, and repost your best result along with the public and private scores it achieves. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/119989/4262/sub_rr_25600.csv",1,bronze,5,Sat May 14 2016 14:18:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20959,/competitions/santander-customer-satisfaction,404th
/breakfastpirate,Mad scripts battle v2,"Divide time-of-day into four six-hour periods, and use that as an additional dimension in the grid.",0,None,5,Sat May 14 2016 14:33:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20960,None,None
/dvasyukova,The locations puzzle,I posted a little notebook to show a way of figuring out which countries and cities hide behind the number codes in this dataset. The information contained in distances and route popularities allows to place a lot of the locations. I wonder if it could be possible to identify the individual hotels =). Do you think that this could be useful for model building? Please drop a comment =).,6,silver,14,Sat May 14 2016 15:46:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20963,None,None
/hrstso,Europe habits,"Thanks for publishing your script! I have a very basic question how do cope with country cells containing more than country? E. g. Index 46 contains 'France,United Kingdom'.",0,None,1,Sat May 14 2016 16:29:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20965,None,None
/karimouda,Mad scripts battle v1.3,"Hey Jared, why are you using different ranges for x and y ( range_x = 700 / range_y = 2000) i found it really affecting the performance but i don't understand why, could you please shed some light here ?",0,None,2,Sat May 14 2016 17:08:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20966,None,None
/tylervigen,Where to start: QGIS Georeferencing,"If you aren't sure where to begin, one way to get your feet wet with this project is to start by co-registering a set of images. There are ways to do this programmatically, but many methods are patented and built into tools like ESRI. However, the most accurate way to co-register two images (where one has no coordinate system) is to use control points. I haven't found a good open source tool to automatically select ground control points, but you can do it yourself in QGIS. Here's a tutorial on how to set it up: [Link]:http://www.qgistutorials.com/en/docs/georeferencing_basics.html You can either co-register images to each other (based on X/Y) or, if you know where they are in California, to an actual coordinate system. If you work manually, remember to select control points on the ground, not on rooftops. The QGIS georeferencer won't accurately orthorectify (and you probably won't have any elevation data more accurate than DTED, if you even have that) so don't put points on hills or your image will skew. After you have co-registered a set of images, it is much easier to work on change analysis. Then if you develop a system for change analysis, you can find a more generalized way to co-register images. Happy to field any questions about georeference ground control points or hear about Auto GCP tools that folks have found helpful.",1,bronze,1,Sun May 15 2016 00:58:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20971,/competitions/draper-satellite-image-chronology,None
/bimaldatascientist,Using MATLAB,"Read the following in competition rules. I take it that, we cannot use MATLAB in this competition ? ""A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license: other than an Open Source Initiative-approved license (see [Link]:http://opensource.org/); or an open source license that prohibits commercial use.""",0,None,5,Sun May 15 2016 01:36:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20972,/competitions/facebook-v-predicting-check-ins,1176th
/breakfastpirate,MSB with Validation v2.0,"Thank you to ZFTurbo for his elegant script with validation. I made the following modifications: If fewer than 3 predictions are found for x+y+quarter_day grid, fall back to x+y grid to fill in remaining predictions. If fewer than 3 predictions are still found, fall back to coarse-grained x+y grid to fill in remaining predictions.",1,bronze,13,Sun May 15 2016 02:09:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20973,None,None
/triskelion,test,test,1,None,1,Sun May 15 2016 02:55:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20974,None,None
/oliviers,Manual labelling of train data,"With all these threads about ""external"" data I am wondering if it is ""legal"" to manually label the images in the train set? For example if I make a ""smartphone detector"" I will manually crop them from a sample of train images, etc ..",0,None,1,Sun May 15 2016 17:28:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20976,/competitions/state-farm-distracted-driver-detection,None
/efimov,3rd place solution,"Our solution with the documentation is uploaded here: [Link]:https://github.com/diefimov/santander_2016 Despite of many problems we had during this competition, the collaboration in our team was wonderful. I hope we will write about it in the Kaggle blog. Only during the last 6 hours of the competition we have made a correct decision about the final submission, that helped us to stay on the top.",46,gold,10,Sun May 15 2016 19:14:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20978,/competitions/santander-customer-satisfaction,3rd
/vicensgaitan,"Image Registration, the R way","I just write an script for image registration in R , based in the package ""imager"". [Link]:https://www.kaggle.com/vicensgaitan/draper-satellite-image-chronology/image-registration-the-r-way It seems that the package is not loaded in the kaggle R docker, but is in CRAN. In my opinion, imager is a good tool, can be possible to add it to the R packages? I attach the html output as reference so the R coders can start to play with the images. Many Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/120135/4269/registration.html",6,silver,6,Sun May 15 2016 21:36:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20980,/competitions/draper-satellite-image-chronology,22nd
/maddula,preliminary exploration,"This is great pal ! For confusion matrix, there is inbuilt in sklearn. Good Luck.",0,None,2,Sun May 15 2016 22:06:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20981,None,None
/innerproduct,Feature request: make small samples (subsets) available,"The datasets for some competitions are rather large. And some of us seem to have trouble downloading them. So I'd like it if a small sample from the dataset could be made available to download. This would help us develop a pipeline and write some scripts. The public scripts, and in particular the editor, in Kaggle are somewhat cumbersome to use. I'd much rather use my own computer and a full-fledged editor and I'd like to be able to test my scripts on my own computer before sharing them publicly on Kaggle. (In general, I would also like to have the option of multiple smaller files instead of one big file. Sometimes our connections are slow or unstable and we cannot download a big file directly.)",1,bronze,1,Sun May 15 2016 22:54:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20982,None,None
/richardepstein,No change in submission score despite changes,"Looking for help from either Admin or another Kaggler, [I've done a couple of contests, so I know the basics]. I used the ""beat the benchmark"" entry (4 5 3 2 1) which gets 0.14286 (tried by about 100 people). I changed 26 entries, leaving the rest the same. I haven't applied my process to the rest of the test set yet, so I left them as ""4 5 3 2 1"". There is no change in my score. I know the scoring is on 17%, but I would still expect a change at the 4th decimal place at least. I guess it's possible that I happened to pick 26 test cases that were not part of the 17%, but that seems unlikely. Obviously, my algorithm could be totally wrong, and no better or worse than random guessing, but I would still expect some change. I'm trying not to waste submissions troubleshooting. The format of the submission file (if I understand it correctly), is to list the position of each image, as follows: If the correct images are in order image 2, image 3, image 4, image 5, image 1, then you would list: setid, 5 1 2 3 4 since Image 1 belongs in the 5th place, image 2 in the 1st place, etc. (this seems slightly unintuitive, where I would have listed the images in the expected order, i.e. 2, 3, 4, 5, 1, but that doesn't seem to be what the instructions require. The method the rules describes is probably a little easier to program however.) Any ideas? -Rich",1,bronze,4,Sun May 15 2016 23:57:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20983,/competitions/draper-satellite-image-chronology,8th
/nigelcarpenter,"Image registration, the R way","Brilliant, ran locally for me and as you say gives great results. The lack of suitable packages in R has stalled my progress, (my python programming is terrible), so it's great to see a skilled R programmer sharing great code and opening up this competition to the R community. Thankyou…!",0,None,8,Mon May 16 2016 00:10:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20984,None,None
/ikleiman,Has R hit a Wall ? R vs Python,"Hi everyone, I learned to ""code"" with R, R is my main data science tool. Lately (in the last month) there have been several competitions were the uncompressed data was several GB. (Expedia, StateFarm, FB, Avito, Draper). Also there have been several image processing competitions. I know how to work my way in R, I've learned how to make R pretty efficient (Hadleyverse, RCPP, ranger, xgboost), but I'm having 2 big issues lately Memory Limits Been unable to use tools such as TensorFlow in R So, is R hitting a Wall? Should I jump ships to Python? Does Python has the same memory issues with those competitions? My issue is not R performance (speed is just fine with the right code). I've also used Amazon EC2 sometimes. I know is there. What do you think about this?",2,None,7,Mon May 16 2016 06:40:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20986,None,None
/del=97ed06dcbb67f5fe,Exploring data,"what do you mean by x-axis in the plot? and how do you can get result that "" Intelligent, sincere and fun categories are winning"" in the first plot?",0,None,3,Mon May 16 2016 07:39:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20987,None,None
/statchaitya,Hardware needed to participate in this competition,"Hi guys, What is the minimum hardware config needed to participate in this competition? I haven't dealt with a 4gb data before. But I really feel this competition is very interesting and want to participate. I want to make appropriate hardware arrangements but I fear I will fall short and hence the question. Regards, Chaitanya.",0,None,9,Mon May 16 2016 08:20:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20988,/competitions/state-farm-distracted-driver-detection,910th
/somshubramajumdar,SqueezeNet for MNIST,"Based on the SqueezeNet architecture from the paper SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size ( [Link]:http://arxiv.org/abs/1602.07360). After 100 iterations, scores a 0.9974 on the LB. Each iteration on a 980 M GPU requires just 9 seconds, totalling 900 seconds (~15 minutes). On CPU, each iteration requires over 20-25 minutes.",0,None,3,Mon May 16 2016 14:46:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20994,None,None
/edwingraham,ADAD_1,I kinda wish you'd've forked the original script rather than copy and paste a new one :/,8,silver,3,Mon May 16 2016 17:01:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20995,None,None
/matteopresutto,Human prediction accuracy benchmark,Did any of you estimate the human accuracy on this dataset? Would be interesting to know if some model beats it,1,bronze,5,Mon May 16 2016 17:28:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20996,/competitions/state-farm-distracted-driver-detection,53rd
/breakfastpirate,MSB with Validation v2.0,Very good! So it weights recent event more heavily is the main difference?,0,None,3,Mon May 16 2016 17:36:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20997,None,None
/aboudakhdir,Is anyone else using R?,"I skimmed the forum quickly and realized that people are using Python to work with the dataset, is anyone else out there using R?",0,None,16,Mon May 16 2016 17:39:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20998,/competitions/expedia-hotel-recommendations,1017th
/snehil786,Memory error in R,I am getting memory error when fitting my model. How can i overcome this ? PS : using 64 bit system and R version 3.3.0,0,None,7,Mon May 16 2016 18:08:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/20999,/competitions/facebook-v-predicting-check-ins,None
/armandoteo,XGBoost w/ Breed & Color Feats,Have you submitted this script to the competition?,0,None,5,Mon May 16 2016 20:41:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21001,None,None
/zeraes,FBOOST,"I tried using regression instead of classification and didn't have much luck … predicts a lot of values that weren't place_id's, e.g. Did you have better luck here?",1,bronze,7,Mon May 16 2016 23:54:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21002,None,None
/jturkewitz,AWS Usage,Does anyone have any experience using AWS for this type of problem? How expensive would it be in practice?,1,bronze,18,Tue May 17 2016 01:49:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21003,/competitions/facebook-v-predicting-check-ins,20th
/mrisdal,OVERVIEW OF G7 DATA,Excellent analysis & welcome to Kaggle! :) It may be easier to compare male and female trends if you facet by country and add gender to the color aesthetic instead. What do you think?,1,bronze,8,Tue May 17 2016 04:48:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21005,None,None
/mrisdal,US Twitter Airline Sentiment,Very cool visualizations and clustering analysis -- thank you for sharing! I especially like the polar coordinate plots. This script would lend itself really well to a notebook format.,4,bronze,15,Tue May 17 2016 05:04:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21006,None,None
/digitrax1,how to product name according to the productId,,1,None,2,Tue May 17 2016 05:28:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21008,None,None
/breakfastpirate,MSB with Validation v3.0,"Only change was to add 1 before taking log10. :-) This is because before the end of the first month, time / (60 * 24 * 30) is less than 1.0 and log10 of those was negative.",1,bronze,1,Tue May 17 2016 12:31:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21011,None,None
/peatle,Visualise check-ins over time (gif),"Mostly just experimenting with the animation package, but this gif shows the check-ins from the top 100 places in the first 4 weeks of data in half-hourly intervals. It looks like the colouring isn't kept consistent from plot to plot which makes this less useful - I'll look into fixing that later… Not sure how useful this will be, but I'm looking for some structure to the check-ins to move away from looking at data points individually. For example, we get extra information if we see a large cluster of check-ins that are close together in both space and time in the test data (ie they are likely to be for the same place_id, and so likely to be a place_id where we have seen similar behaviour previously).",5,bronze,10,Tue May 17 2016 14:57:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21013,None,None
/shahriari,Collaborative Filtering,"Collaborative filtering is a classical solution in recommender systems. I have had a look at many of scripts, but few of the solutions are based on collaborative filtering. Why is this the case? Do you think collaborative filtering can handle the huge data set? I guess forming a User-Item-Rating matrix is not a big deal! Thanks",1,None,5,Tue May 17 2016 15:38:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21014,/competitions/expedia-hotel-recommendations,825th
/italotf,Thoughts on user_id,"Does it make sense to make any decision based on user_id? I know all users on test.csv are present on train.csv but in reality we’d like to build a model to predict new users, right? Any thoughts on this? Thanks",0,None,3,Tue May 17 2016 15:49:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21015,/competitions/expedia-hotel-recommendations,1651st
/jerrylin,Explore Expedia Search Data,Great analysis and visualization!!,1,bronze,1,Tue May 17 2016 17:28:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21016,None,None
/sarahooker,strange duplicates in products,"I'm looking at a specific user in this dataset, and I am seeing a lot of duplicate reviews with the only differentiator being the productid. Does anyone have context for why this pattern might occur in the data?? I'm using a simply SQL query to extract data, wanted to use this user as an example I am doing for a tutorial on SQL but then started to realize the data was pretty interesting because of the duplicates. I would have assumed this user is a spammer, but the helpfulness score are also identical across duplicate text entries. Thoughts? select * from reviews where userid='A11OTLEDSW8ZXD' [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/120342/4274/Screen Shot 2016-05-17 at 8.28.45 AM.png",1,bronze,1,Tue May 17 2016 17:31:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21017,None,None
/drarfc,Exploring Accuracy,Did you try kNN with Mahalanobis distance?,0,None,2,Tue May 17 2016 17:59:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21018,None,None
/clementwan,Study of Tree and Forest algorithms,"Can someone please explain what this line is doing precisely? ""df['Title'] = df['Name'].apply(lambda x: Title_Dictionary[x.split(',')[1].split('.')[0].strip()])"" Thanks a lot in advance.",3,None,9,Tue May 17 2016 19:00:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21020,None,None
/hassiktir,downloading files to remote server from Kaggle,I've always used others methods/scripts but something somewhere changed and they haven't worked as well recently. Wrote this and figured it would be helpful to others: [Link]:http://neuralniche.com/post/downloading-files-from-kaggle/ Just the script can be found here: [Link]:https://github.com/grahamannett/kaggleDownloader/blob/master/main.py and it only requires RoboBrowser (so needs python3). Not sure how many people will need this but I always need it once per competition at least and couldn't figure out how to download with RoboBrowser immediately so figured it would be worth writing about.,2,bronze,2,Tue May 17 2016 19:28:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21021,None,None
/rajgot,Test data assumptions,I looked at some of the test data but not sure if its safe to make these assumptions. Can someone confirm if these are true? Each driver in test set will have at least one c0/safe driving image A given drivers dress remains unchanged across all images Thanks,0,None,2,Tue May 17 2016 22:00:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21025,/competitions/state-farm-distracted-driver-detection,196th
/tmoulik,Please change my ranking,"Dear Kaggle, I recently participated in the Santander customer satisfaction survey. It looks like I had selected two very low accuracy entries for submission when I just entered the competition but my entries improved subsequently. However, I did not realise that they were still checked and had to be deselected and my new entries had to be selected and submitted. ""The email said that if you do not select submissions your top entry will be submitted "". It looks like those low accuracy entries had to be deselected which I did not do. If you look at my submission history I have a higher rank but it does not show up in my public profile. Is there any way, this can be changed? I am showing up with a much lower rank than I actually am. I understand it is my mistake but as a first time user, I am hoping that someone can fix this! Thanks, Tania.",0,None,13,Tue May 17 2016 23:57:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21027,None,None
/greyfaux,Missing file issue,I'm having issues locating the csv file in the container. Not sure if anybody is experiencing this issue as well. Sometimes a weird file called tweets.csv.blobtmp shows up when calling the ls command,0,None,2,Wed May 18 2016 00:51:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21028,None,None
/mrisdal,Predict match between two person(v1),Awesome! Very cool use of this dataset - thank you for sharing. Any insight into the features that emerged as important versus those that didn't?,3,bronze,2,Wed May 18 2016 02:57:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21029,None,None
/srimalj,What sort of classifier?,"Hi Guys Considering this as a classification problem, I'm just wondering what type of classifier would be suitable. Treating each place_id as a class label, it is a hugely multiclass problem with over 100,000 classes. total # classes: 108390 classes with freq = 1: 246 classes with freq < 10: 1201 classes with freq < 100: 28223 There are over 200 classes which occur only once and around 28,000 classes with less than 100 occurrences. Yet ignoring these items with occur less frequency would not reduce the significantly reduce the number of classes which is several orders of magnitude larger.",3,bronze,10,Wed May 18 2016 03:17:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21030,/competitions/facebook-v-predicting-check-ins,994th
/radustoicescu,10080 timestamps in a week,"I added the average check-in histogram over a day. The shape looks good, but it has an offset of about 7-8 hours. The peak is at 7 AM instead of some time in the PM. At first I thought they used UTC time, but then the peak would have moved in the the direction, towards 3 AM. Since it is synthetic data I don't see a reason to worry too much.",0,None,4,Wed May 18 2016 04:13:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21032,None,None
/triskelion,Twitter failing to detect terrorist propaganda,"Twitter Rules from [Link]:https://support.twitter.com/articles/18311 We believe in freedom of expression and in speaking truth to power, but that means little as an underlying philosophy if voices are silenced because people are afraid to speak up. In order to ensure that people feel safe expressing diverse opinions and beliefs, we do not tolerate behavior that crosses the line into abuse, including behavior that harasses, intimidates, or uses fear to silence another user’s voice. Any accounts and related accounts engaging in the activities specified below may be temporarily locked and/or subject to permanent suspension. Violent threats (direct or indirect): You may not make threats of violence or promote violence, including threatening or promoting terrorism. Harassment: You may not incite or engage in the targeted abuse or harassment of others. Some of the factors that we may consider when evaluating abusive behavior include: if a primary purpose of the reported account is to harass or send abusive messages to others; if the reported behavior is one-sided or includes threats; if the reported account is inciting others to harass another account; and if the reported account is sending harassing messages to an account from multiple accounts. Hateful conduct: You may not promote violence against or directly attack or threaten other people on the basis of race, ethnicity, national origin, sexual orientation, gender, gender identity, religious affiliation, age, disability, or disease. We also do not allow accounts whose primary purpose is inciting harm towards others on the basis of these categories. Approximately 66% of the 112 accounts are currently suspended (A few more are cancelled accounts leading to 404). Let's look at the accounts that Twitter failed to ban, despite skirting or breaking their Rules. [Link]:https://www.kaggle.com/04_8_1437 Links to Amaq News Agency's website and application ( [Link]:https://news.siteintelgroup.com/Jihadist-News/is-amaq-agency-identifies-explosive-suitcases-among-13-devices-vehicles-used-by-fighters-for-suicide-ops.html ) Links to Suicide attack with 35 dead ( called it a ""Martyrdom Operation"" ) Links to Anti-Russian Propaganda ( ""3 children killed by Russian airstrikes"" ) [Link]:https://www.kaggle.com/06230550_IS Links to Anwar Al-Awlaki Propaganda (Paradise reward for Jihadist martyrs) Links to Shayk Ahmad Jibril Propaganda (Anti-Zionist) Links to Khalid Bin Waleed Propaganda (Take the land of the Kufar and enslave them) [Link]:https://www.kaggle.com/abuhanzalah10 Links to Jihadist image with backpack and combat knife ''Fighting has Just begun'' Previous accounts, like abuhanzalah2, suspended "" #Russia launches a new Orthodox Crusaders campaign on the Levant. Every Muslim must fund/support the Mujahdeen in #Syria"" [Link]:https://www.kaggle.com/AbuLaythAlHindi ""Islām is spread by two things, the Quran, and the sword that helps it"" Links to Islamicstatecentral.com Links to An Naba Newsletter (Islamic State Newsletter) Links to Alhayat (Islamic State Media) Links to Infographic glorifying Paris Attacks (We want Paris … after we blacken your lives and blow up the Eiffel Tower) [Link]:https://pbs.twimg.com/media/CVkmCIVWoAEq6eo.jpg Links to Abu Muhammad al'Adnani (official spokesperson and a senior leader of the Islamic State) [Link]:https://www.kaggle.com/al_nusra Links to [Link]:http://justpaste.it/attaqueParis Links to Islamic State Propaganda Links to the media office of Wilayat Ninawa Profile picture that of Ahmed Al-Assir (Lebanese Salafi extremist, a Radical Cleric, and former Imam of the Bilal Bin Rabah Mosque in Sidon, South Lebanon.) [Link]:https://www.kaggle.com/lNSlDEWAR Links to brutal Ak-47 assassination video hosted on Twitter without the sensitive content warning. Links to pictures of dead bodies being paraded on streets without the sensitive content warning. Links to video of captured soldiers being abused without the sensitive content warning. Links to video of decapitated children without the sensitive content warning. ""The reason why muslims get ""radical"". If nobody want to stop Assad, they will join whoever fights Assad, even IS/AQ."" ""The reason why turkey isn't attacking ISIS directly: More than 3000 well equiped sleeper cells in their country waiting for orders."" Links to Ayatullat Hassan al-Amiri (Preaching that Kurds are djinns / demons) Links to beheading video Links to Hamas propaganda of missile launcher supposedly capable of hitting Tel Aviv Links to Dabiq 14 (ISIS newspaper) Links to Al-Kataib (Al Shabaab News Media) [Link]:https://www.kaggle.com/MaghrabiArabi Links to gross execution mix-video of civilians being shot with 1.5 million retweets and without the sensitive content warning. Tweets about Salah Abdeslam being put into coma by fellow prisoners with fake bloody photo Links to Islamic State Hacking Division exposing personal information of US soldiers Links to dead child being pulled from rubble without the sensitive content warning ""Salam o alaikoum i hope the #Rebels in #Syria wake up and stop fighting they Sunna brother's and join them before they lose everything."" Links to video of ""brave man"" talking of the serial-child molesting pope and Jewish conspiracies. Ok, taking a break from this.",4,bronze,2,Wed May 18 2016 05:10:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21034,None,None
/tylervigen,Good job Vladimir,1.00000,0,None,15,Wed May 18 2016 06:11:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21037,/competitions/draper-satellite-image-chronology,None
/gautamsihag,hhhjjhhh,"Hey, it would be really great if you could put your thoughts to explain the calculations behind append_0 though append_2. Please and thank you.",0,None,1,Wed May 18 2016 08:13:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21038,None,None
/ajayjadhav,R Script,"Good Work. Can you please explain me what exactly you did here --------------------------------------- train_group <- train %>% select(x, y, place_id) %>% mutate(xs = as.integer(round((x-min(x))/(max(x)-min(x)) * new_dim, digits = 0)), ys = as.integer(round((y-min(y))/(max(y)-min(y)) * new_dim, digits = 0))) %>% select(xs, ys, place_id) %>% group_by(xs,ys, place_id) %>% summarize(count=n()) --------------------------------------- why multiplied by new_dim ?in mutate",0,None,3,Wed May 18 2016 09:39:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21040,None,None
/data0caolu,What does the script used for？,"Hi, I am new here, anyone can tell me how the competition works? what does the script posted here used for? Finally we need submit a csv file, but how about the code?",0,None,1,Wed May 18 2016 15:44:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21042,/competitions/state-farm-distracted-driver-detection,None
/arpangupta87,Calculating MAP in R,"Does anyone have R code for calculating mean average precision, given predicted class probability matrix and truth value vector",0,None,6,Wed May 18 2016 15:47:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21043,/competitions/expedia-hotel-recommendations,230th
/mrisdal,What Tools Do Academics Use? ,"For most of the tools it looks like they're either empty or non-empty if yes. The exception appears to be for the SPECCL variables. Anyway, something like this would work, I believe: cols_to_change = c('RTOOL', 'SPSS') #etc etc data[cols_to_change] <- sapply(data[cols_to_change], function(x) ifelse(nchar(x) > 0, 'yes', 'no')) copy",0,None,6,Thu May 19 2016 01:22:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21053,None,None
/brandenkmurray,Good news everyone!,Now for the low price of ~$96 per day* you can get an AWS X1 instance with almost 2TB(!) of RAM and 64 cores! You just might be able to train an xgboost model using the entire training set at once. :-P [Link]:https://aws.amazon.com/blogs/aws/x1-instances-for-ec2-ready-for-your-memory-intensive-workloads/ *On a 3-year pricing agreement,0,None,6,Thu May 19 2016 01:55:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21054,/competitions/expedia-hotel-recommendations,32nd
/dmatekenya,Data wide tends vs. user preferences,"As rightly noted by [Link]:https://www.kaggle.com/zfturbo/expedia-hotel-recommendations/leakage-solution, inclusion of user specific trends would most likely enhance results. Actually, I strongly believe the winning solution will be the one which thoughtfully combines data wide and user specific trends. That being said, I myself haven't really made progress in systematically incorporating personal preferences and so I'm wondering if anyone has tried this approach and are willing to share some pointers.",1,bronze,8,Thu May 19 2016 02:56:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21055,/competitions/expedia-hotel-recommendations,792nd
/agloolga,submission uploading and evaluation time,"I admit the amount of data is considerable. It took me about 5 attempts to submit a sample submission. Usually the connection to server breaks with timeout. Is it possible to ease the submission somehow? My gzipped submission file is 158M. How long the scoring expected to be ? The message ""Scoring should take about 0 seconds"" is very confusing. It runs already over 2 1/2 hrs and it's still not done.",0,None,2,Thu May 19 2016 05:31:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21057,/competitions/facebook-v-predicting-check-ins,992nd
/olegpolivin,Should Draper close the competition?,"What a strange competition! Now three top places are taken by 3 players. Great job! I wonder if that is something Draper really wanted: if I understand correctly, in most cases the submission were hand labelled, so not much ML. Also, has someone tried hand labelling using the train data? Actually, many pictures in train and test data intersect, so that you can put the order to test data being sure of it. Anyway, I am very eager to know the results of the private LB, and to have some reaction from Draper: what did they expect, what was the objective of allowing hand labelling.",6,silver,25,Thu May 19 2016 12:21:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21059,/competitions/draper-satellite-image-chronology,46th
/laurae2,Who's competing using pure ML solutions?,"Just wondering so we can make our own ""unofficial"" public/private LB there for pure ML solutions (filtering out hand labeled submissions) and competitors who are here to learn (and prefer understanding where they are at against other pure ML competitors). Not that hand labeling is bad, but it is easy to get >0.80 using hand labeling (on the train set, to train yourself). Especially with the Latitude/Longitude given for about 80% of the test data (and nearly 100% of train data), it is feasible to get much better than that score in the public/private LB (and it skews the top LB). But how ML will go would be interesting to see. Hand labelers who have issues ordering the images: use an ImageJ stack, register the images, and start panning fast enough so you can get hands on the differences and start sorting the images out. And/Or use online services (ex: MapBox, GIS free services, etc.).",3,bronze,13,Thu May 19 2016 14:59:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21063,/competitions/draper-satellite-image-chronology,31st
/bersoy,"Mean X,Y over time (days)","The ""mean accuracy vs day"" graph saved my day ;) Thanks! This explains the three peaks in the accuracy histograms. I spent the best part of the day trying to find some spatial relation.",0,bronze,7,Thu May 19 2016 15:55:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21064,None,None
/kelexu,Another image processing competition on Kaggle,"Hmm, it seems that there are so many image processing competitions in parallel on Kaggle, Draper Satellite Image Chronology, State Farm Distracted Driver Detection, Can computer vision spot distracted drivers? Avito Duplicate Ads Detection also contains large number of image pairs. Haha, good luck.",4,bronze,30,Thu May 19 2016 16:41:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21065,/competitions/ultrasound-nerve-segmentation,None
/italotf,Difference between local validation score and LB score,"Hi all, I am seeing a huge difference between my local validation score and my LB score. Basically, I am getting data for 20000 users (around 250k rows), doing data clean-up and manipulation and then splinting it into train (80%) and validation(20%) using StratifiedShuffleSplit on hotel_cluster. (I keep both is_booking = 0 and 1 on my train and validation). Then I fit a randon forest model and my MAP@5 is around 0.35 When I apply my model to the test data, my leaderbord score is 0.21. What do you guys think I'm doing wrong to justify such a difference? Thanks",1,None,10,Thu May 19 2016 17:32:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21066,/competitions/expedia-hotel-recommendations,1651st
/mightyroy,"What is ""1 1"" in the submission file?","What does ""1 1"" mean in the submission file? Thanks! img pixels 1 1 1 2 1 1 3 1 1",0,None,3,Thu May 19 2016 20:23:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21068,/competitions/ultrasound-nerve-segmentation,None
/Leopold,"image ""stack""",The image files for each case are numbered from 1 to around 120. Does stacking these images in order form a coherent 3D image containing the entire nerve? Can we get more information about how the images are acquired?,1,bronze,3,Thu May 19 2016 20:55:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21069,/competitions/ultrasound-nerve-segmentation,None
/animesh371,Image processing,"Hi, Do I need to have a background in image processing to participate in the competition?",0,None,1,Thu May 19 2016 21:41:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21070,/competitions/draper-satellite-image-chronology,None
/sakvaua,Animated check-ins,Here is my attempt to create an animation of check-ins. I picked 10 most popular places but you can change that. The circle size is linked to accuracy. The more frequent check ins are at same place the more intensive the color is. The older check ins fade over time.,7,silver,2,Thu May 19 2016 22:15:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21072,None,None
/inversion,Training Images plus Nerve Area Outline,"Nice script. Seriously though, am I the only one who doesn't see anything common between the annotations?",20,gold,17,Thu May 19 2016 23:33:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21074,None,None
/alexlzzz,Description of the imaging process and medical info,"Can admins give an overview, similar to the one in Data Science Bowl 2, about the process of capturing these images, and medical/anatomical details of what we are looking at, for all of us non-doctors here? It would be also nice if the training material/instructions for the hand-labeling to be also made available. This will help us, hopefully, to understand better what the algorithm should be trained to look for",5,bronze,4,Fri May 20 2016 00:02:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21075,/competitions/ultrasound-nerve-segmentation,448th
/alexlzzz,Additional Rules page?,"From ""Prizes"" page: A description of competition prizes & the terms of receiving them. (The terms are also outlined on the ""Additional Rules"" page). There is no ""Additional Rules"" page as far as I can tell",0,None,2,Fri May 20 2016 00:05:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21076,/competitions/ultrasound-nerve-segmentation,448th
/niladri18,Required column 'id' could not be found,Did anyone face the following error while submission? Required column 'id' could not be found My file has the two columns and required number of rows. But still I cannot submit it!,0,None,6,Fri May 20 2016 01:38:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21078,/competitions/expedia-hotel-recommendations,1824th
/purblue,Anyone trying to use xgboost?,"I'm a newbie of this kind of competition. For this classification task, I tried to use xgboost for entire training set, but it could not run the training (it got down and not responding). It seems like, too many instances and classes made it terminated. However, my machine is i7 and 16gb memory, so it looks like enough to fit whole dataset into memory. Is there anyone who has similar issue with me? How can I make it possible to train with xgboost?",0,None,1,Fri May 20 2016 02:28:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21079,/competitions/facebook-v-predicting-check-ins,952nd
/woshialex,non continuous score function,"I would argue for a more continuous loss function when the target area is 0 (the current one gives a score of 1.0 if you also predict 0 area, and a score of 0 even if you only predict 1 pixel). score = (2*Uion(A,B)+smooth)/(Area(A) + Area(B) + smooth), setting smooth=1 or 10, might be a better score function.",10,gold,15,Fri May 20 2016 02:52:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21081,/competitions/ultrasound-nerve-segmentation,21st
/msjgriffiths,Exploring ISIS(?) Tweets,"Hey, this is awesome. Nicely done!",2,bronze,5,Fri May 20 2016 03:37:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21082,None,None
/msjgriffiths,Social Cluster analysis,Nice analysis!,1,bronze,3,Fri May 20 2016 04:05:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21083,None,None
/saywhat1,Python for Padawans,In matplotlib 2.0 you can set style sheets. If you prefer the ggplot aesthetic you can use plt.style.use('ggplot'). I still prefer the standard seaborn style though.,2,bronze,15,Fri May 20 2016 04:39:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21084,None,None
/fgrideau,plotting with XGBoost in Python,"following the instructions from [Link]:https://xgboost.readthedocs.io/en/latest/python/python_intro.html after building my model, i tried on Jupyter (using Mac OS X, Chrome browser) import matplotlib.pyplot as plt plt.style.use('ggplot') xgb.plot_importance(bst) xgb.plot_tree(bst, num_trees=2) xgb.to_graphviz(bst, num_trees=2) copy but i have some problems: the to_graphviz does return me a plot, but its too big, and i can't see it whole. Its cut on the right side the first two commands (if i put a # in front of the last line) don't show any plot at all. is there something like a.show() missing ? Instead i get the following output ""matplotlib.axes._subplots.AxesSubplot at 0x12f0ee7d0"" (between <>) can anyone help ? thank you",0,None,1,Fri May 20 2016 05:34:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21085,/competitions/sf-crime,589th
/del=c847b078443444b2,Dog Breeds Puzzle,"I don't know anything about dogs. How is it possible that a dog belongs to different breeds? shouldn't one dog belong to one breed? or is it the case that a particular dog is a cross breed of two different breeds? also what does ""Mix"" mean? what is the difference between a ""Boxer"" and a ""Boxer Mix""? for example, let consider breed Boxer > train$Breed[grepl('Boxer',train$Breed)] [1] Plott Hound/Boxer [2] Boxer/Great Dane [3] Boxer Mix [4] Boxer Mix [5] Boxer Mix [6] Boxer Mix [7] Boxer Mix [8] Boxer Mix [9] Boxer [10] Boxer Mix [11] Boxer/Australian Cattle Dog [12] Pointer/Boxer [13] Boxer Mix [14] Boxer/Chow Chow [15] Boxer Mix [16] Boxer/Pit Bull [17] Pit Bull/Boxer [18] Boxer/Beagle [19] Boxer Mix [20] Labrador Retriever/Boxer copy consider [1], how can a dog be both Plott Hound and Boxer at the same time? does it mean it's a cross breed between a Plott hound and boxer? or was the classification ambiguous (deliberately or otherwise)?",0,None,2,Fri May 20 2016 07:07:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21087,/competitions/shelter-animal-outcomes,115th
/prabhatkumar,How to begin with Data Science ?,"Hello All, I am a beginner in Data Science, have done only few courses like The Analytics Edge on EDX and Machine Learning course on Coursera by Andrew Ng. Please suggest me what should I do next. Thanks, Prabhat",0,None,1,Fri May 20 2016 10:33:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21088,None,None
/huwfulcher,Social Cluster Analysis in R,"This looks great! Clear to see that some of the stuff to do with Data Processing in R is much cleaner, I'm not a great Python user so there is probably much cleaner ways to extract the information I'm presenting. Hopefully I'll have a graph together by the end of the day so we can compare!",0,None,2,Fri May 20 2016 11:05:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21089,None,None
/attilazz,Kobe_Bryant,"Hi i have improved the accuray a lil bit by adding this : df['shot_zone_area2'] = df['shot_zone_area'] df['shot_zone_area2'][ (df['shot_zone_area'] != 'Center(C)') & (df['shot_zone_area'] != 'Back Court(BC)') ] = ""medium"" df['shot_zone_area2'][df['shot_zone_area'] == 'Center(C)'] = ""best"" df['shot_zone_area2'][df['shot_zone_area'] == 'Back Court(BC)'] = 'worst' copy and by using this feat instead of the old one.",0,None,1,Fri May 20 2016 11:12:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21090,None,None
/alexlzzz,run-length encoding,Does the first pixel coded 0 or 1?,2,bronze,2,Fri May 20 2016 14:53:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21093,/competitions/ultrasound-nerve-segmentation,448th
/leekendo,R : readLines ,"Hi, Has anyone tried ""readLines"" in R ? Some solutions written with Python are reading the lines and doing it without time-out. ""readLines"" did not even reach 2M lines till timed out. Below is my code, can anyone share the idea to read train data in R, please ? ====================== f <- file (""../input/train.csv"") total <- 0 while(1) { line <- readLines(f, n=1) total <- total + 1 if((total %% 2000000) == 0) { cat ("" read lines = "", total); } if(length(line) == 0) { break } else { line.f <- textConnection (line) line.df <- read.csv(line.f, header=FALSE, sep="","") } } ====================== Best regards, Kendo",0,None,2,Fri May 20 2016 15:29:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21094,/competitions/expedia-hotel-recommendations,111th
/triskelion,Example run-length encoding function,What's the Weissman score?,3,bronze,6,Fri May 20 2016 15:49:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21095,None,None
/woshialex,some preliminary results for discussion,"I attached the CV results of four cases, the yellow line is the ground truth, and the green line is my prediction. In two of the cases the ground truth says it has no BP. 1) I still couldn't figure out what is the BP by looking at these four graphs. Figure 1 and 2 seem to be almost (a little shift in Z axis) the same but there is no BP in figure 2?? 2) The possible error rate in the ground truth will hurt the model a lot. In these four cases, I get ~0.9 for the two correct case, and ZERO for the other two cases so my overall score will only be ~0.45, even worse than all 0 benchmark (which is 0.5). 3) I guess that the humans might label lots of images as ""no BP"" when they can't see it clearly. But the machines might still be able to figure it out. In these cases, the machines get penalized strongly by getting a score of 0 (and other wise 1 if you simple do not make a prediction). So I would suggest reduce the penalty of the ""no BP"" images to encourage predictions. Any way, I think this is a very interesting/meaningful problem and happy to accept what is given (since there will be always all kinds of issues with real life problem) and try my best. thanks. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/120777/4278/3.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/120777/4279/4.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/120777/4280/1.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/120777/4281/2.png",13,gold,3,Fri May 20 2016 16:19:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21096,/competitions/ultrasound-nerve-segmentation,21st
/paulorzp, Why remove the metadata of the images ?,In the real world all images contain metadata that is useful for analysis of the problems . Because the metadata is removed in Kaggle's problems ? To turn them into virtual problems?,0,None,1,Fri May 20 2016 16:22:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21097,/competitions/ultrasound-nerve-segmentation,387th
/fgmehlin,Cannot find any duplicate from itemPairs_train,"Hey, I posted this question as a reply to the thread ""How to use image data"", but I think this might deserve a thread. Well, when I try to open a supposed duplicate pair from the itemPairs_train file, for example : itemID1 ,itemID2, isDuplicate, generationMeth. 182, 2393536, 1, 1 image 182 is a pair of shoes, and image 2393536 is a girl holding a huge teddy bear. 182: [Link]:http://s32.postimg.org/wd40wbthh/182.jpg 2393536: [Link]:http://s32.postimg.org/yt1pft345/2393536.jpg I tried with 10-15 different pairs here, and cannot find a single real match… Am I missing something ? thanks",0,None,2,Fri May 20 2016 16:47:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21099,/competitions/avito-duplicate-ads-detection,None
/tonyliu,Popular tools by academic fields,"Hi Hyan, it just strikes me how law researcher all used things like Matlab, Dyrad and Bitbuck. That doesn't seem right.",0,None,2,Fri May 20 2016 17:21:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21100,None,None
/ajrwhite,Using this data for academic research,"Hi there, I am about to commence an MSc dissertation on [Link]:http://www.jmlr.org/papers/volume16/vapnik15b/vapnik15b.pdf. This is where ""privileged"" information is added to some of the training data to speed up convergence on a good solution (usually on an SVM classifier). One major use of LUPI is to speed up classification of images by adding user comments or user outlines to an image (e.g. drawing a line around a driver). This is described in [Link]:http://users.sussex.ac.uk/~nq28/pubs/ShaQuaLam13.pdf. I know the terms and conditions on Kaggle forbid datasets being used for purposes beyond the confines of the competition. However, I have seen before that some companies (e.g. Rossmann Stores) have been willing to let Kagglers use their datasets for non-commercial project work. I would be grateful to know whether this would be possible with this dataset. Many thanks, Andy",1,bronze,2,Fri May 20 2016 17:57:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21103,/competitions/state-farm-distracted-driver-detection,None
/mylesoneill,Exploring the WoW worlds,Great start! I'm interested to see the results of the questions you asked.,0,None,12,Fri May 20 2016 19:52:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21104,None,None
/msjgriffiths,Isis_tweet_network_analysis,Nice graphs!,2,None,13,Fri May 20 2016 21:02:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21106,None,None
/codebird,Leaderboard,"Can somebody explain to me why is the leaderboard not ordered correctly: for example the top 1 has a score of 0.59509 the second is 0.59741 which is higher, then down lower you see people with 0.61 and more… What am I missing?",0,None,2,Fri May 20 2016 21:42:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21107,/competitions/kobe-bryant-shot-selection,893rd
/saurograndi,Airplane Crashes and Fatalities Since 1908,"Analysis of the public dataset: ""Airplane Crashes and Fatalities Since 1908"" (Full history of airplane crashes throughout the world, from 1908-present) hosted by Open Data by Socrata available at: [Link]:https://opendata.socrata.com/Government/Airplane-Crashes-and-Fatalities-Since-1908/q2te-8cvq Questions Yearly how many planes crashed? how many people were on board? how many survived? how many died? Highest number of crashes by operator and Type of aircrafts. ‘Summary’ field has the details about the crashes. Find the reasons of the crash and categorize them in different clusters i.e Fire, shot down, weather (for the ‘Blanks’ in the data category can be UNKNOWN) you are open to make clusters of your choice but they should not exceed 7. Find the number of crashed aircrafts and number of deaths against each category from above step. Find any interesting trends/behaviors that you encounter when you analyze the dataset. My solution is in the pdf attached. I was told that other candidates solved it in a better way. Any suggestion is welcome. Thanks. Following code used for question 6 6.`Air = read.csv(""3-Airplane_Crashes_Since_1908.txt"") Air$Fatalities[is.na(Air$Fatalities)] = 0 corpus = Corpus(VectorSource(Air$Summary)) corpus = tm_map(corpus, tolower) corpus = tm_map(corpus, PlainTextDocument) corpus = tm_map(corpus, removePunctuation) corpus = tm_map(corpus, removeWords, stopwords(""english"")) dtm = DocumentTermMatrix(corpus) dtm = removeSparseTerms(dtm, 0.95) inspect(dtm[1:10, 501:510]) findFreqTerms(dtm,100) dtm_tfxidf = weightTfIdf(dtm) inspect(dtm_tfxidf[1:10, 501:510]) k-means (this uses euclidean distance) m = as.matrix(dtm_tfxidf) rownames(m) = 1:nrow(m) preproc = preProcess(m) m_norm = predict(preproc, m) cl = kmeans(m_norm, centers = 7) table(cl$cluster) show clusters using the first 2 principal components plot(prcomp(m_norm)$x, col=cl$cl) findFreqTerms(dtm[cl$cluster==1,], 50) findFreqTerms(dtm[cl$cluster==2,], 50) findFreqTerms(dtm[cl$cluster==3,], 50) findFreqTerms(dtm[cl$cluster==4,], 50) findFreqTerms(dtm[cl$cluster==5,], 50) findFreqTerms(dtm[cl$cluster==6,], 50) findFreqTerms(dtm[cl$cluster==7,], 50) sum(Air$Fatalities[which(cl$cluster==1)]) sum(Air$Fatalities[which(cl$cluster==2)]) sum(Air$Fatalities[which(cl$cluster==3)]) sum(Air$Fatalities[which(cl$cluster==4)]) sum(Air$Fatalities[which(cl$cluster==5)]) sum(Air$Fatalities[which(cl$cluster==6)]) sum(Air$Fatalities[which(cl$cluster==7)]) inspect(corpus[which(cl$cluster==1)]) ` [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/120827/4282/Aircrash dataset analysis.pdf",12,bronze,My solution is in the pdf attached. I was told that other candidates solved it in a better way. Any suggestion is welcome. Thanks.,Fri May 20 2016 21:46:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21108,None,None
/howardxie,How is KDE applied here?,"Hi all, A couple guys on the forum are applying KDE (Kernel density estimation) to the x,y coordinates. I'm not a stats guy, so I read about KDE on wiki - seems like it's used for estimating density function for random variables. Could a stats guy perhaps briefly educate me a little bit in terms of how to apply KDE here? Are x, y coordinates the random variables? What do we do after I use KDE and figured out the density functions? Or what do we use KDE for? Also what is the most popular python package for doing KDE? Thanks in advance.",0,None,5,Fri May 20 2016 22:17:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21109,/competitions/facebook-v-predicting-check-ins,None
/sakvaua,Calculating APK,"Do I understand it correctly that APK (for MAPK@3 calculation) in our case can be one of four values 0, if predicted place_id is not in the list, 1 if it is on the first place, 1/2 if it is on the second place and 1/3 if it is on the third place?",1,bronze,2,Fri May 20 2016 23:02:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21110,/competitions/facebook-v-predicting-check-ins,120th
/tonyliu,A World of Warcraft,"""Project data files could not be downloaded"" error, any help will be appreciated!",0,None,13,Sat May 21 2016 02:39:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21113,None,None
/gospursgo,What's the idea of MSB,"Hi, guys. The public script MSB is doing really well on the PL. However, due to my less proficiency in python and its having few comments inside the script, I am still trying to get the basic idea of it. Can anyone give me a brief description of the script. This could save me or even some other people a lot of time ;) Thanks ahead.",0,bronze,1,Sat May 21 2016 04:07:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21114,/competitions/facebook-v-predicting-check-ins,35th
/gospursgo,Random Forest And KNN on a few blocks,"Thanks for sharing. Have you tried to implement RF based on the whole data set(grid by grid) and make a submission? Another thing is, it seems that you split the train and test set by the variable ""time"": small_train = fb[fb$time < 7.3e5,] small_val = fb[fb$time >= 7.3e5,] copy I don't think ""time"" should be included into the RF model",2,bronze,35,Sat May 21 2016 04:42:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21115,None,None
/mindcool,Is matlab allowed?,Is matlab allowed in this competition?,0,None,2,Sat May 21 2016 04:44:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21116,/competitions/state-farm-distracted-driver-detection,3rd
/ilucian,Torch starter code,"I'd like to share the Torch implementation that I've been working on. It's somewhat comparable to the Keras code that came out a while ago in that the main model is VGG and trained from scratch. I thought I'd help along people who wanted to use Torch for any reason. For aggregating the models, I simply averaged the outputs. Doing the geometric mean didn't work for me because I get lots of values close to zero. If anyone has an explanation on why it would work I'd be interested in hearing it. This particular model was trained on 13 folds for 15 epoch (though 10 would have been enough). I used a GTX 960 and training took about an hour, with 13s/fold. The training loss was 1.72, validation loss 1.89 (though it just averaged the loss of the models, rather than ensembling them), LB score 1.55 (with model ensembling) This is the command I used to generate the submission: th -i main.lua --batchSize 16 -r 0.003 --model vgg_small -h24 -w32 -d ps.t7 --max_epoch 15 -f 13 -t adam -r_factor 0.1 --lr_schedule 5 -m 0.1 -S -L2 0.001 -g copy The parameters, in order, express batch size (obviously), learning rate, model (defined in models/vgg_small.lua), height, width, data file to use (if it's already created, don't use the -g flag), number of epochs (obviously), number of folds, training algorithm, learning rate decay factor, learning rate decay schedule (after this many epochs, multiply by lr_factor), momentum, generate submission (-S), L2 penalty, generate data (will be saved as ps.t7, omit -g if already saved). The submission file is generated as submission.csv. If you want a better score, you can change the resolution from 32x24 to 64x48, use a bigger model and 26 folds. Some model definitions are in the models/ folder. Note that the *_small.lua files are used for 32x24 images while the other ones are for 64x48. There are a number of things that can be improved, and I would welcome pull requests, though I am going to continue working on this. You can find the repo here: [Link]:https://github.com/lucianionita/distracted-drivers-torch",1,bronze,2,Sat May 21 2016 06:48:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21117,/competitions/state-farm-distracted-driver-detection,347th
/siliconvalley,Expedia_Playground,Why are you checking for book_year on line 70?,0,None,1,Sat May 21 2016 09:10:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21119,None,None
/jordanfreedman,Data Analyst -> Data Scientist?,"Hey guys, I'm a data analyst for a small-medium sized retail company. My aim is to work in predictive analytics as a data scientist. Ideally I'd have liked to developed into that role organically at my current company but I'm concerned as the culture isn't particularly data-friendly and as much as my boss is an excellent data analyst, he has as little experience as I with predictive analytics (hobby, no professional experience) and so I don't think I can really learn from him. Moving is an option, but with just a bachelors (first class though) I feel underqualified. Does any have any advice on how to get up the ladder in this field? What should I try to achieve in my current company to prove myself? Thanks so much! P.s. edited to keep it simple.",1,None,3,Sat May 21 2016 11:24:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21120,None,None
/venkyb,Accuracy,"what is accuracy , of the coordinates in the data?",0,None,3,Sat May 21 2016 11:59:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21121,/competitions/facebook-v-predicting-check-ins,None
/shahnawazakhtar,Is there any auto decreasing learning rate model,Is there any variable learning rate model where learning rate starts with some high value and after each iteration if error increases then comes back a step and multiply learning rate to say 0.5 else keep same learning rate.,0,None,4,Sat May 21 2016 12:54:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21122,/competitions/state-farm-distracted-driver-detection,716th
/acarloto,Number of statuses variable,Hi all! Can you tell me what is the meaning of the number os statuses variable? Thanks acarloto,0,None,2,Sat May 21 2016 14:26:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21123,None,None
/farghal,Usage/Sessions Over Time Visualisation,[Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/120909/4283/EDA.ipynb,0,None,2,Sat May 21 2016 18:02:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21125,/competitions/guc-data-science-project,4th
/ricardobrito,Placed in empty submission benchmark,"I would like to ask about something strange that happened here. I am new to kaggle and I uploaded the file with the predictions but although I uploaded a file full of predictions, I was put under the empty submissions benchmark. Can any of the admins help me understand the reason?",1,None,6,Sat May 21 2016 20:09:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21126,/competitions/ultrasound-nerve-segmentation,807th
/ashhafez,Getting repeatable results from different Keras runs,"In case anyone else hits this issue … I've found that even with setting random seeds, I was seeing different results on each run of my python script whenever I used a Convolutional layer in Keras. After some digging, I found this, which seemed to solve the issue: [Link]:https://www.bountysource.com/issues/31151094-do-we-have-a-way-to-initialize-the-random-seed-for-everything [Link]:http://deeplearning.net/software/theano/library/sandbox/cuda/dnn.html You can use it from the .theanorc file, or via environment variable (Mac or linux) as follows: export THEANO_FLAGS=device=gpu,floatX=float32,dnn.conv.algo_bwd_filter=deterministic,dnn.conv.algo_bwd_data=deterministic;",9,silver,2,Sat May 21 2016 20:49:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21127,/competitions/state-farm-distracted-driver-detection,66th
/anokas,Run-Length Encoding in Python,"Thank you, this is just what I was looking for!",2,bronze,7,Sat May 21 2016 22:11:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21128,None,None
/masterliu,have you used destinations.csv?,"I don't see topic on destinations.csv, do you guys used that data? i see it has 149 features and mainly float numbers, is that useful and how to use it?",0,None,4,Sun May 22 2016 03:56:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21131,/competitions/expedia-hotel-recommendations,69th
/akshaymallipeddi,Units of each column not specified.,Can someone specify the standard units for energy_100g (numeric) and energy_from_fat_100g (numeric) [Cal or KCal]. Please specify which columns give the information regarding energy in the food item.,1,None,1,Sun May 22 2016 04:24:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21132,None,None
/lajonutyte,Can the dataset categories be described ?,"Hello, since I'm not a Twitter user, could you please describe each category of a dataset ? For example, description category - is it a presentation of a user on a site which he freely chooses, where is it shown, is there a limit of the characters the user can enter when describing, etc. I would also highly recommend to add descriptions to the main page of a dataset, since its pretty important to fully understand the data for analysis.",0,None,4,Sun May 22 2016 14:30:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21137,None,None
/scubadiver007,Missing age data,"Hello, I am a newbie (so go easy!) and I am having a look at this data. Does the model have to predict survival for all test records as my position is that inferences shouldn't be made on the missing ages as there is no way to determine if the individuals concerned are children or adults. Can someone fill me in on this? Thanks.",0,None,5,Sun May 22 2016 16:47:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21139,/competitions/titanic,None
/,,,1,bronze,3,Sun May 22 2016 18:08:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21140,None,None
/rshekhar2,XGBoost Ranking Question,"I'm new to Kaggle competitions and I'm trying my hand with xgboost. I'm trying to use the XGBoost CLI to produce a ranking of the top k (k=3) place_ids based on a small xy piece of the domain. Unfortunately I'm getting a list of floats instead of a ranked list of place_ids. My config file is below (and attached). I've created train and validation files with the format {place_id} 1:x 2:y 3:accuracy 4:day_of_week 5: hour copy And a test file with the format 1:x 2:y 3:accuracy 4:day_of_week 5: hour copy Of course, I've created group files for the train and validation, and not for the test, as I don't have that information. When I run with xgboost conf && xgboost conf task=pred model_in=0006.model, I get a pred.txt that has one column of floats, one line per item in the bin2d.test input. How do I get a ranked list of k=3 place_ids instead? -- # General Parameters, see comment for each definition booster=""gbtree"" # specify objective objective=""rank:pairwise"" eval_metric = ""map@3-"" # Tree Booster Parameters # step size shrinkage eta = 0.1 # minimum loss reduction required to make a further partition gamma = 1.0 # minimum sum of instance weight(hessian) needed in a child min_child_weight = 0.1 # maximum depth of a tree max_depth = 6 n_estimators=100 n_thread=-1 seed=1337 subsample=1 # Task parameters # the number of round to do boosting num_round = 6 # 0 means do not save any model except the final round model save_period = 0 # The path of training data data = ""bin2d.train"" # The path of validation data, used to monitor training process, here [test] sets name of the validation set eval[test] = ""bin2d.validation"" # The path of test data test:data = ""bin2d.test"" copy -- [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121017/4289/all.tgz [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121017/4290/conf",2,bronze,5,Mon May 23 2016 00:02:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21142,/competitions/facebook-v-predicting-check-ins,39th
/howardxie,get_NbyM_grid,"Hi Pythonians - Here is a script for generating NxM grid using original data, it can output files or a dictionary - you can access each grid using its indices",0,None,1,Mon May 23 2016 03:04:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21143,None,None
/,,,4,bronze,45,Mon May 23 2016 04:37:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21144,None,None
/olegpolivin,What do you actually predict?,"Hello! I think I do not understand what are the target variables in this task, how one trains the model, and how to make predictions. Training part: Let's say we consider only one train image and a corresponding mask. If I am not mistaken, each image contains 580*420 = 243600 pixels. Does it mean that our training set of one image consists of 243600 pixels where a target variable is 0 if it is not in the mask, and 1 if it is part of the mask? Predictions: Consequently, how to make a prediction? Take all features and make a prediction for 243600 pixels, predicting if it is 0 or 1, and then construct a mask that consists of 1's? This does not seem correct, and I am a bit lost.",1,None,9,Mon May 23 2016 10:25:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21149,/competitions/ultrasound-nerve-segmentation,774th
/shahnawazakhtar,Is there any golden rule for choosing kernel size and max pooling layer size... ,"Is there any golden rule for choosing kernel size and max pooling layer size… Also how does image size, image colors etc affect loss… And what is batch_size and how it affects loss….",0,None,2,Mon May 23 2016 11:44:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21150,/competitions/state-farm-distracted-driver-detection,716th
/sriramwaits,Newbie - Question on loading data & others,"Hi Please absolve my technical in-depth as this is my first time here in Kaggle and first competition. Very new here and I have these queries I have a 32 bit laptop with 4GB RAM. So I am unable to load the 37 million rows of training data set. So, I had loaded 3 million records, then filtered for a random 40,000 user IDs to get 1.2 million records and then a further filtering on dates to get to a 881 K records on training. Is this sufficient for training as I am unable to run with more records than this. Thanks Sri",0,None,1,Mon May 23 2016 12:12:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21151,/competitions/expedia-hotel-recommendations,1653rd
/andreacaleo,mapk giving unexpected results in R,"I can't quite wrap my head around how mapk works. I got these results: mapk(5, as.list(c(1,10)), as.list(c(2,3,4,5,6), c(20, 30, 40, 50, 60))) [1] 0 mapk(5, as.list(c(1,10)), as.list(c(2,3,4,5,6), c(20, 10, 40, 50, 60))) [1] 0 I definitely wasn't expecting 0 from the second one as the second true value, 10, is among the values of c(20, 10, 40, 50, 60). Anyone got any insight on this?",0,None,1,Mon May 23 2016 13:13:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21152,/competitions/expedia-hotel-recommendations,705th
/shahnawazakhtar,How to work with this dataset on 4Gb Ram,,0,None,1,Mon May 23 2016 13:54:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21153,/competitions/expedia-hotel-recommendations,143rd
/masterliu,how to use custom eval function in GridSearchCV?,"i tried to set scoring param of GridSearchCV with my custom map@5 eval function, it give s me error: TypeError: map5eval() takes exactly 2 arguments (3 given) I see GridSearchCV score definition is score = scorer(estimator, X_test, y_test), i think you should use GridSearchCV to choose params, how do you do that?",0,None,4,Mon May 23 2016 14:59:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21154,/competitions/expedia-hotel-recommendations,69th
/iezepov,Get Hash from Images (slightly) faster,With more numpy calculations instead of pure python you can get a little speed up (~10% in my tests),2,bronze,5,Mon May 23 2016 17:14:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21155,None,None
/scirpus,3 little models,.83x on private leaderboard,0,None,3,Mon May 23 2016 22:18:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21158,None,None
/timewarper,Place_id and location coordinates,"Hi, I looked at the objective of what is to be predicted and the data (both train and test). So, the place_id needs to be predicted based on given x,y coordinates, timestamp and accuracy. I am not sure if I have understood this clearly. As per the train data, each place_id has a range set of x and y coordinates. Obviously,this range set of x,y coordinates are unique to each place_id. So, if the x and y coordinates are already provided in the test data, the place_id can be found out. So, what is the purpose of timestamp and accuracy? In other words, whatever the time and accuracy of the location coordinates, if I know the x and y coordinates, I can get the place_id. Its a simple mapping or am I missing a big piece here? Thanks",0,None,2,Mon May 23 2016 22:25:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21159,/competitions/facebook-v-predicting-check-ins,None
/laurae2,Data Augmentation + Gradient orientation: strange movie,"See the attached files to understand or if you are interested to the results of what I did to the first set of the data set (data is augmented 80X times, making 28000 pictures for training and 109600 for testing): Montage.jpg => a high quality montage of the first set in the train set (15MB, so big sized a browser can't handle it properly?? 3840x46080) Montage_Small.jpg => a low quality montage of the first set in the train set (4MB, 1280x15360) Aligned.gif => a high quality sequence of the first set in the train set (12MB) Aligned_Small.gif => a low quality montage of the first set in the train set (4MB) I computed some [Link]:https://en.wikipedia.org/wiki/Histogram_of_oriented_gradients statistics using a 5x5 [Link]:https://en.wikipedia.org/wiki/Sobel_operator… I might be wrong but the blue channel is clearly horrible to use as a predicting feature? (local gradient orientation gave me no goodness for that blue channel.. well, mostly under 0.20 => the [Link]:https://en.wikipedia.org/wiki/Directional_statistics of the structure of the channel is barely predictable, although researches found the goodness value underestimates the reality). I found also there are angles where the predictability rises up to 1.00, which is not normal? However, the what is nice to see is the directionality and the structure using the transformation I used are kept (see [Link]:https://en.wikipedia.org/wiki/Image_gradient). The color wheel of angles of the first set of the train set: [Image]:http://i.imgur.com/2pDewRF.jpg And the color wheels of the first set by image order, which are exactly identical pixel to pixel (clearly unexpected, check yourself if you want using a substraction method): [Image]:http://i.imgur.com/3yEFzeT.jpg I assume the satellites used for the imagery are [Link]:https://en.wikipedia.org/wiki/Multispectral_image and capturing ultra-blue wavelengths (which is re-mapped to false color composite), and this would go against saying the blue channel is horrible? As far as I know, multispectral images are useful in the sense they capture information that cannot be visually seen, and are highly sensitive to the soil content (if the soil changes, the channel changes). If it is possible to infer the wavelength of colors, then it would feasible to reconstruct the [Link]:http://landsat.usgs.gov/best_spectral_bands_to_use.php and have a good reconstruction of the features in the images (especially as we are looking in changes in the pictures). For instance, we would be able to optimize vegetation/forest pictures by finding the lowest vegetation area of the pictures and setting it as baseline to use a ML technique to infer whether a specific vegetation should come before or after the baseline (much more easily! like the set with nearly forest only). However, I'm still skeptical about its feasibility: not that because the pictures might not be ""fully multispectral"", but the satellites might not get the required bands for an approximate Landsat reconstruction (and there is not enough information given per pixel here). Online pictures of Landsat are [Link]:http://earthexplorer.usgs.gov/, but it gets out of control if we have to position geolocalize each picture and harvest them, having the need to grab the timestamp also. Note: I have not tested the .tiff files. Too big to fit on my drive space left. Edit: added ton of external links related to feature extraction related to this topic because it would be confusing for people who are not used to the terms used [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121102/4292/Montage.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121102/4293/Aligned.gif [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121102/4294/Montage_Small.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121102/4295/Aligned_Small.gif",5,bronze,2,Tue May 24 2016 00:25:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21161,/competitions/draper-satellite-image-chronology,31st
/shanemeister,Overlay Nerve Visualization,"Nice script and I learned some things here, but it appears that the display_mri function throws an error due to Error in paintObjects(mask, img, col = c(""red"")) : 'x' and 'tgt' must have the same size Am I missing something? This is a problem I have been struggling with this afternoon. Thanks!",0,None,6,Tue May 24 2016 02:38:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21162,None,None
/mrisdal,Feedback - data analysis tutorial series on No Free Hunch,"Hello everyone! I'm Kaggle's content marketing intern and a big fan of all the fabulous work being shared by Kagglers every day especially on scripts. Right now I'm putting together the pieces of a tutorial series for the blog [Link]:http://blog.kaggle.com/ covering topics related to presenting a data analysis. There are a few topics I know I'd like to hit (listed below), but I'd also love to know what YOU would find beneficial! Ingredients of a good analysis Fundamentals of data visualization Using notebooks (Jupyter & Rmarkdown) To give you some context, the impetus behind this blog series is the fact that [Link]:http://www.sharpsightlabs.com/machine-learning-prerequisite-isnt-math/; however, tutorials on putting together a slick report are not necessarily as readily available (or utilized) as are free machine learning 101 courses. The second important factor is that Kaggle scripts are an excellent way to showcase your work and develop a portfolio. I'm not turning heads by any means with my data science skills (so far), but I've still gotten noticed by recruiters thanks to a few high-ish visibility scripts. Maybe you have the code down, but aren't sure how to best package it? Anyway, please feel free to share with me and discuss what you would love to see featured in this series! You're also very welcome to email me at mrisdal [at] kaggle [dot] com.",10,silver,6,Tue May 24 2016 03:49:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21163,None,None
/iglovikov,Public/Private split,Is data split between Public and Private Leaderboars based on drivers or it is random split?,0,None,6,Tue May 24 2016 05:06:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21164,/competitions/state-farm-distracted-driver-detection,104th
/marlonaguilar,Ajuda para otimizar o tempo de processamento,"Olá David, professores e amigos de classe. Alguém tem alguma dica para otimizar o processamento dos dados? O pacote de amostras é muito grande e demora muito para processar, por exemplo, fiz um teste com o KNN deixando por uma noite inteira e mesmo assim não terminou. (tenho um core i5 com 8GB de ram em dual channel) Faço testes rápidos com pequenas amostras para aprender a utilizar os algoritmos e ajustar a saída, mas quando vou executar como pacote completo fica impraticável, uma vez que eu não sei se vai durar 1 ou 10 dias. Por enquanto só consegui executar o LDA e o GLM. Desde já agradeço.",0,None,2,Tue May 24 2016 05:49:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21166,/competitions/eee901-2016-01-tp-final,14th
/mudit1,Getting started,Check out some excellent tips on getting started in this competition at: [Link]:http://actuaries.com.my/asia-actuarial-analytics-challenge-2016,0,None,9,Tue May 24 2016 07:50:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21167,/competitions/sas-analytics-challenge,54th
/ioannis,Errors in training image labeling,"If you look at the attached images, 7_52 and 7_53 are essentially identical. However, when you check the mask images 7_52 has the BP marked while 7_53 not. There are many more examples like this. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121132/4297/7_53_mask.tif [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121132/4298/7_52_mask.tif [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121132/4299/7_52.tif [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121132/4300/7_53.tif",1,bronze,3,Tue May 24 2016 09:57:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21170,/competitions/ultrasound-nerve-segmentation,None
/huaweiboy,Predict crime is a multilabel task,Thanks a lot,0,None,1,Tue May 24 2016 13:07:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21173,None,None
/mentalistic,What to Predict,is there any way to predict something here?,0,None,1,Tue May 24 2016 15:57:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21175,None,None
/rohingosling,"Offsetting neural network outputs, by a small value.","I am trying to find out why, offsetting neural network outputs by some small constant, appears to over fit data. Background: Problem: Binary classification of a homomorphically encrypted financial time series. Date Set: 21 input features, Single binary output. (Numerai dataset) Test Solution: Matlab pattern net, 21 inputs, 3 to 7 hidden units, single output probability, using cross entropy performance function, as a close approximation to logloss. I’ve tested this arrangement using various numbers of hidden units. On average I get better generalization, at the expense of some accuracy, with 3 hidden units. Note: The full model is a clustered ensemble of ANN’s, but I consider a single ANN here for the sake of isolating the source of the observed behaviour. Observation: Within the context of this simple single neural network solution, significantly improved logloss scores can be achieved, by simply subtracting a small constant from the network output probabilities. Something in the range of 0.001 to 0.01. I thought of doing this as a means to slightly minimise the overall confidence of all outputs, in order to minimise the impact of wrong answers when scored via logloss. Numerai solutions are initially only applied to 1/3 of the live data in order to minimize overfitting. Subtracting a small scalar constant, as described above, from all output probabilities, does indeed improve the logloss, on the initial 1/3 of data. However, whenever the results are applied to the remaining 2/3’s of the data, then the final logloss deteriorates to a level even worse than just simply applying the neural network on its own without any post processing. Intermediate Conclusion: I am presuming, that this post processing step, subtracting a small constant from all outputs, is resulting in an over fit to the initial 1/3 of the data that the model is applied to. And then when the remaining data is included, the effects of the over fit are expressed through a significantly worse logloss. Questions: How is this small constant subrated form the network output, leading to what apears to be overfitting, even if the network on it’s own generalizes well without any modifications to its output. In general, what am I missing? Maybe the idea of subtracting a small constant from the network outputs is actually a good idea, but I’m doing something else wrong. Further Observations The effect of subtracting a scalar value to the network outputs, can be amplified by passing the constant through a weighted Gaussian distribution. The Gaussian weighting of the constant maximizes the amount subtracted near the middle of the probability range, where the model is less confident, round about a probability of 0.5. And it reduces the amount subtracted as one approaches more confident probabilities near 0.0 and 1.0, where the model is more confident that the probability should be either a zero or a one. Note: The final defect is the same however. Once the remaining live data is included when the model is applied, the log loss deteriorates worse than the network applied with out any post processing. However, it is just interesting to note that using this Gaussian weight distribution applied to the constant, which is used to reduce the output probabilities slightly, seems to ‘initially’ improve logloss.",0,None,3,Tue May 24 2016 18:19:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21178,None,None
/enian82,How do you match the weather data set with the store location,"Hello Folks, There is store numbers in the training data set….. How do I match the store number with the weather data set… Meaning how to calculate the relation between store and weather station locations…. Thanks in advance….",0,None,1,Tue May 24 2016 18:20:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21179,/competitions/walmart-recruiting-sales-in-stormy-weather,None
/savreenkaur,Regarding submissions,hello all I am really confused about the number of submissions. Are we given 5 submissions per day.. or there are in total 5 submissions for the project. Thank you,1,None,8,Tue May 24 2016 20:30:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21181,/competitions/can-we-predict-voting-outcomes,None
/knadeem,How to create the submission file in R?,"I think I am missing something very trivial here.. I have been saving the prediction matrix (4 columns: row_Id and 3 place_Ids) as a comma delimited csv file. But, the required format uses comma only after row_Id and spaces between the 3 place_Id columns. I would greatly appreciate if someone could show me how to save the prediction matrix in the required format in R.",0,None,3,Tue May 24 2016 20:56:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21183,/competitions/facebook-v-predicting-check-ins,168th
/jotape68,Column names for submisions,"Be careful with your submisions, the R file given as example, name the second column as ""PREDICTION"", so it gives an error, because the column name must be ""Predictions"".",1,None,7,Tue May 24 2016 21:00:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21184,/competitions/can-we-predict-voting-outcomes,595th
/tgswartz,Non-Commercial Libraries,"Hi, I just want to clarify about libraries we can use. If the code is licensed for non-commercial applications, then it's ok to use for this contest right? Thanks.",0,None,2,Tue May 24 2016 21:07:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21185,/competitions/ultrasound-nerve-segmentation,215th
/radema,File for submission,"I'm not an expert with R and I've problems with the submission procedure. Until now I've used this line of code to write the .csv file write.csv(data.frame(USER_ID,Predictions), file =""~/Downloads/submission.csv"") USER_ID, Predictions are two columns. Can someone tell how can I correct this?",0,None,7,Tue May 24 2016 21:57:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21187,/competitions/can-we-predict-voting-outcomes,1203rd
/vykhand,Interactive timeseries visualization with Bokeh,I spent some time analysing the date field and would like to share results with community [Link]:http://nbviewer.jupyter.org/gist/vykhand/1074ea363b26be305128d48393e2e868 [Link]:http://imgur.com/WhJ1s9t [Link]:http://imgur.com/M5MV3Px [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121197/4309/2016-05-24 22_21_22-Jupyter Notebook Viewer.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121197/4310/2016-05-24 22_24_12-Jupyter Notebook Viewer.jpg,11,gold,1,Tue May 24 2016 22:26:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21188,/competitions/expedia-hotel-recommendations,298th
/gledsonmelotti,"Erro no LDA:  Error in lda.default(x, grouping, ...) :    variables 21 29 39 appear to be constant within groups ","Por favor, alguém pode me ajudar? Eu não consigo simular o LDA, na verdade parei no LDA. Eu encontro o seguinte erro: Error in lda.default(x, grouping, …) : variables 21 29 39 appear to be constant within groups LDA.model <- lapply(levels(y.treino), function(y.class) { # y.num <- as.numeric(y.treino == y.class) lda(y.treino ~., data.frame(x.treino, y.treino=y.num)) }) LDA.model <- lapply(levels(y.treino), function(y.class) { y.num <- as.numeric(y.treino == y.class) lda(y.treino ~., data.frame(x.treino, y.treino)) })",0,None,4,Tue May 24 2016 22:49:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21191,/competitions/eee901-2016-01-tp-final,9th
/tokukawa,New types of competitions for educational purpose... ,"Every Kaggle competition share some common work flow: data exploration feature engineering model building fine tuning I was wondering how fun could be create specific competitions that are testing one of the above point. One example could be: once fixing the model and all the parameters, you must climb the board only with with feature engineering. What is your opinion?",1,bronze,2,Wed May 25 2016 00:14:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21192,None,None
/ana4min,No experience in image processing,"… nor in machine learning, for this matter. I don't understand, conceptually, how this works. The file probably can be read as a matrix with pixel intensities. But what do the programs learn? Typical arrangements of pixels that have been labelled as the presence of a nerve? Completely with no contextual information, eg the angle/position of each photo, or any priming regarding anatomical structure? How does one know how large the region should be? In segmentation, intuitively, borders should help, but here I see no rule regarding borders defined by contrasts. Any primer would be helpful, thank you very much.",1,None,3,Wed May 25 2016 01:20:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21193,/competitions/ultrasound-nerve-segmentation,None
/tonyliu,Quick EDA,"You code is very tidy and efficient. I have learned. Thanks for sharing! Note on class and race combination, Druid is exclusive to Tauren and Paladin is exclusive to Blood Elf, which is new in WLK. Also, many Tauren chose Warrior coz they look mighty, while Undead look more ""evil"" and have good race skills, so rougue/mage/priest were popular. BTW, how did you change the theme for the code displayed form Kaggle?",0,None,3,Wed May 25 2016 01:27:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21194,None,None
/apapiu,Mad Script Battle R Version,"R version of the Mad Scripts Battle by ZFTurbo. Gets around 0.46 on the LB although it can be improved in many ways (ex. bins with using time of day, weighing early check-ins more etc). Takes less than 3 minutes on the entire dataset (: and this could be improved more by using data.table instead of dplyr.",5,bronze,2,Wed May 25 2016 02:12:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21195,None,None
/jeffmoser,Help interpreting the data,"Interesting dataset! I want to make sure I understand what each row means. Just to be sure, can you clarify the following? next_station - is this where the train is heading towards or where it's leaving from? status - if train 778 has a status of ""2 min"" does that mean it's running 2 minutes behind its daily schedule or 2 minutes + 6 minute grace period = 8 minutes? Is it safe to assume that the schedule is fixed every day and is based on departing its starting point/origin? That is, all the scheduled departures stay fixed based off original schedule when the train was supposed to depart its origin timeStamp - is this the time that the train leaves towards next_station or when it arrives at next_station? What's a good way to determine how long a train stayed stopped at a station vs went slow between tracks vs not stopping at the station? How does a train ""make up"" time? Does it stay less time at a station than it normally does? Does it go faster than normal?",1,None,7,Wed May 25 2016 03:43:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21196,None,None
/vinyas,How to use PDF file in R?,Hello everyone How to import/read the Questions.pdf file in R for being able to use it? Thanks,0,None,2,Wed May 25 2016 07:26:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21198,/competitions/can-we-predict-voting-outcomes,647th
/kishorekumr,Outlier - YOB-2039,Can I remove the outlier (UserID=1973 and 4105) where YOB=2039?,2,None,15,Wed May 25 2016 07:40:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21199,/competitions/can-we-predict-voting-outcomes,18th
/algotrust,Submission?,"Hi guys, Can anyone explain how we are getting 3 predictions for each row, I read some of the posts which talks about using the MAP concept and ml_metrics package, but I am still not able to understand how is it actually being implemented in the python code, suppose I am using KNN algorithm which predict one place_id for each row then how can I make it predict three separate ids? Thanks",0,None,1,Wed May 25 2016 08:01:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21200,/competitions/facebook-v-predicting-check-ins,None
/caiotaniguchi,Questions.pdf in Excel format,"I converted the pdf to xlsx for easier manipulation of the questions' content. Since it didn't involve any coding I'm making it available for everyone, might be useful. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121246/4311/Questions.xlsx",27,silver,11,Wed May 25 2016 08:08:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21201,/competitions/can-we-predict-voting-outcomes,30th
/jrachoene,Grading for competition,Just curious to find out how marks will be allocated for this task (when does someone get 50% or 100%)?,2,bronze,18,Wed May 25 2016 08:33:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21202,/competitions/can-we-predict-voting-outcomes,1201st
/brandao,we need to talk about data leak,"Hi everybody, many competitions are presenting different kind of mistakes in their data sets. sometimes it decides the competition… we can see recent results with this problem… many scientists lost competitions because there were errors from data… and it is very serious…. the community is spending time… thousands of hours considering all data scientists… sometimes dozens of hours a week considering only one data scientist… I know that is hard to identify mistakes in data… however, we are talking about our time… kaggle needs to improve its data validation process… suggestion: hiring more people… hiring companies that understand about the context of the competitions, and so on… What do you think about it? Is everything ok? Or, do you have suggestions? thanks for your attention…",6,bronze,16,Wed May 25 2016 08:41:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21203,None,None
/sandeepak,3 outputs,"I am not sure, which math model predicts more than one recommendation!!! How do we generate 3 priority outputs then ? Shall we run the model 3 times hoping that recommendations will be different each time (though that makes model less stable)?",0,None,3,Wed May 25 2016 09:10:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21204,/competitions/facebook-v-predicting-check-ins,None
/ajayl1,Predictions in solution file,"What is meant by We expect the solution file to have 1,392 predictions.??",0,None,1,Wed May 25 2016 10:23:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21206,/competitions/can-we-predict-voting-outcomes,2816th
/royalmudit,How to deal with 'Questions' field of csv file in kaggle Competition,"Hi All, I have no Idea for ""How to deal 'Questions' in Kaggle. What treatment I have to give 'Questions' in csv file. It's bad Idea to build a model without 'Questions', By this we loose valuable information as well as accuracy. Can any one help me in this! Thanks in advance!",0,None,13,Wed May 25 2016 11:26:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21207,/competitions/can-we-predict-voting-outcomes,1872nd
/zyazzy,Anyone tried loading the whole training set and working magic on it?,"Anyone tried loading the whole training set and working magic on it? I have a 16gb ram macbook, taking ages to do some data wrangling.",0,None,6,Wed May 25 2016 14:05:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21208,/competitions/expedia-hotel-recommendations,203rd
/laurae2,Tutorial: visualizing difference between three pictures,"Hello, This is a tutorial to visualize the difference between a set of three different pictures. This technique generalizes to a 4 or more pictures (like 5 for Draper), although the interpretation becomes widely fuzzy (and difficult!). They can, however, be used for deep learning or any ML method you want. We will use the three last pictures of the set 79 (given in the train set). We are assuming you already aligned the pictures. Our hypothesis is that there are (mostly) disappearing containers throughout the 3 images. [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4320/Montage_initial.jpg [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4321/Montage_aligned.jpg To visualize (meaningfully) the difference between three pictures, we need to follow the following steps: Convert the image to binary Optional: measure the area covered by the binary images (good when analyzing moving camps, deforestation, disappearing objects, etc.) Interpret the stack of binarized images to RGB The idea of visualizing the difference meaningfully is to minimize (to a certain extent) the human bias in perception of three consecutive pictures, given the knowledge of their order (or to help the human to perceive differences between pictures when too much information is provided). I. Converting the image to binary This step is probably the easiest (along with the binary stacking to RGB). You just need to use a binarization technique. Most of them incurs the following: Conversion to 8-bit image Conversion to binary using a preferred method with a black background Here are our three 8-bit images. [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4322/Montage_aligned_8bit.jpg We convert the 8-bit images to binary per image (and not per stack) using black as background: [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4323/Montage_aligned_binary.jpg Until now… nothing hard right? (Optional) II. Measuring the area covered by the binary images This step is a good way to quantify the missing difference between two pictures. However, it quantifies the following: Adds all the missing elements between two pictures Subtracts all the appearing elements between two pictures This is an issue you must take into account when you are analyzing a set of images! As you will compute the aggregated value (difference between the Add/Substract), you may end up with wrong interpretations using only that information. To measure the area covered by the binary images, a first step is to threshold temporarily the images. All the white pixels must turn colored. If not, adjust appropriately the sliders of the software you are using. After, you must specify the area you need to measure. We select the area on the right to the left, omitting the road (you can notice in the image 2, the road is black while in the image 1/3 it is white. [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4323/Montage_aligned_binary.jpg [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4324/Stack_aligned_selection.gif Now, we can compute the area. We get the following: Area 1 2693107 2 2704704 3 2819013 copy Did we expect this ordering? Yes, because we hypothesized containers to disappear. Hence: If a container has disappeared, its area becomes fully white If a light colored container has appeared, its contour becomes black along with the shadows If a dark colored container has appeared, its area become fully black along with the shadows This confirms our hypothesis about the containers disappearing gradually from the image 1 to 2 to 3. This is all good already! III. Interpret the stack of binarized images and RGB This step is the hardest of perform, although it is trivial for a set of only three images. You must convert the three pictures to RGB channels: Image 1's whiteness become the Red channel (Red) Image 2's whiteness become the Green channel (Green) Image 3's whiteness become the Blue channel (Blue) Remember to remove the threshold filter if you did the previous step. You get the following picture: [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4325/RGB_stack.jpg When composing three colors together, you need to remember how additive colors are: Red => Red Blue => Blue Green => Green Blue+Red => Magenta Red+Green => Yellow Green+Blue => Cyan Red+Green+Blue => White None => Black Visual image taken online: [Link]:http://hyperphysics.phy-astr.gsu.edu/hbase/vision/imgvis/addspotl.gif Note: If you assume each picture is a color channel (picture 1/2/3 's whiteness => R/G/B), you get the following: Color 1 2 3 Red W B B Green B W B Blue B B W Cyan B W W Magenta W B W Yellow W W B White W W W Black B B B copy If we suppose white (W) is presence (of missing) and black (B) is absence (of missing), we have the following: Color Presence Absence Red 1 2, 3 Green 2 1, 3 Blue 3 1, 2 Cyan 1, 2 1 Magenta 1, 3 2 Yellow 2, 3 3 White 1, 2, 3 Black 1, 2, 3 copy Therefore, the pictures: (1) should have the most red (disappearing in (2) and (3) ) (2) should have the most magenta (disappearing in (3) + the common elements with (1) ) (3) should have the most black (the common elements of (1) and (2) with (3) ) How is our RGB going? We just have to compute a count of unique values from a histogram (I selected a slightly different areas, so the values are different than part II.). Selection count: 3789045 Grey (0) count: 797752 (none) Grey (85) count: 267728 Grey (170) count: 309932 Grey (255) count: 2413633 (1, 2, 3) Red (255) count: 2662863 (1 => present in 1 only) Green (255) count: 2675696 (2 => present in 2 only) Blue (255) count: 2789932 (3 => present in 3 only) copy The grey values are not interesting for us (difficult to infer). The three last lines are the most interesting for us: if our hypothesis (stuff disappearing) is right, we should have Red > Green > Blue. This is the case, which also confirms our hypothesis. If you want to look at the five stacks… not recommending it! [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4326/Five_stacks.jpg IV. Deep learning method for differentiation What you can also do is using deep learning to compute the most probable sequence of images. This is a transformation of ranking to classification problem. You would do the following: For each set, create all existing combinations of images with the differences computed; {1, 2, 3, 4, 5}, {1, 2, 3, 5, 4}, {1, 2, 4, 3, 5}, {1, 2, 4, 5, 3}… overall you end up with 120 pictures for 1 set. Transform the ranking issue to classification, assigning the label 1 for the correct sequence, and 0 for the incorrect (or vice-versa). Train a deep learning model on the whole training set using the network of your choice. Predict on the test set. Per set of 120 pictures, the highest probability picture is the most predicted right order by your deep learning network model. There is a possible way also by subsampling each set by 3 pictures: instead of using the set {1, 2, 3, 4, 5}, you would label {1, 2, 3}, {2, 3, 4}, and {3, 4, 5} as right. However, you would label {1, 2, 4}, {1, 2, 5}, {1, 3, 2}… as wrong (total: 60 pictures per set, with 3 right and 57 wrong). You would then train a model, and the prediction would be the first unconflicting subset of the highest predictions per set. Off-topic: Hmm…? [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4327/Kaggle_too_many_requests.JPG [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121295/4320/Montage_initial.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121295/4321/Montage_aligned.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121295/4322/Montage_aligned_8bit.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121295/4323/Montage_aligned_binary.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121295/4324/Stack_aligned_selection.gif [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121295/4325/RGB_stack.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121295/4326/Five_stacks.jpg [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121295/4327/Kaggle_too_many_requests.JPG",7,silver,I. Converting the image to binary,Wed May 25 2016 14:20:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21209,/competitions/draper-satellite-image-chronology,31st
/atanahel,Corrupted images,"Hi, I was trying to load all the images and I ran into some corrupted files. Is it the case for other people? For instance in the test folder: 20153.jpg , 100532.jpg , 18649.jpg. In the train folder: 3917.jpg , 101947.jpg , 79499.jpg , 95347.jpg , 91033.jpg , 92899.jpg , 41945.jpg. See the attached script. [Link]:https://www.kaggle.com/atanahel/painter-by-numbers/file-corruption",1,bronze,4,Wed May 25 2016 15:01:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21210,/competitions/painter-by-numbers,10th
/eshanashfaque,Permission to use data ,"Hello , I am starting my undergraduate thesis and I would like to use the data from this contest, can someone tell me the procedure of getting permission to use that data? Thank you in advance",7,bronze,10,Wed May 25 2016 15:23:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21211,/competitions/ultrasound-nerve-segmentation,None
/woshialex,run length in python shorter,a little bit concise version of run length encoding in python.,0,None,1,Wed May 25 2016 15:36:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21212,None,None
/bguberfain,Ellipse fit,"This is script is to inspire a simpler approach to the problem: predict the ellipse that outlines the masked region (only 5 parameters: center x, center y, axe x, axe y and rotation angle). Of course, it does not includes the prediction of whatever the nerve is present or not (maybe a second network to do so?).",6,silver,1,Wed May 25 2016 18:50:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21214,None,None
/shoresh,missing data,how we should treat with missing data which are yes or No?,1,None,27,Wed May 25 2016 19:11:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21215,/competitions/can-we-predict-voting-outcomes,1651st
/raraulbl,Error trying to submit Random Forest Model,"Warning message: In Ops.factor(PredTest, threshold) : ‘<’ not meaningful for factors I get this error when trying to run the commands used to submit the regression model threshold = 0.5 PredTestLabels = as.factor(ifelse(PredTest<threshold, ""Democrat"", ""Republican"")) I am new to R and not really sure how to get the Random Forest Model into the correct format to submit it. Any help is appreciated.",1,None,2,Wed May 25 2016 20:05:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21217,/competitions/can-we-predict-voting-outcomes,730th
/dustydawg20,ImageStat Module to Calculate Statistics in Masked Region of Images,"I first want quickly point out that I'm a beginner to data science and python programming so I apologize if this question seems a bit trivial. I'm trying to run the ImageStat.Stat function in a loop to calculate some basic statistics (extrema, count, sum, mean, stddev) for the masked region for images that contain masks (the ones where brachial plexus is present). I'm doing this out of curiosity and I basically want to see if these statistics give some insight into developing some features that I can use for classification and prediction purposes. The data should be stored in the 'stats' variable. However, when I run 'stats' I end up with the list you see below. How do I go about actually accessing the data within each list item? Also is there a better way to do what I'm trying to accomplish? Any help would be greatly appreciated. import numpy as np import cv2 import PIL from PIL import Image from PIL import ImageStat from matplotlib import pyplot as plt import glob, os, os.path os.getcwd() os.chdir('D:/Python/Ultrasound Nerve Segmentation/train') def get_mask_path(image_path): dirname, basename = os.path.split(image_path) maskname = basename.replace("".tif"",""_mask.tif"") return os.path.join(dirname,maskname) ultrasounds=[] masks=[] stats=[] def main(): img_ultrasounds = [img for img in glob.glob(""D:/Python/Ultrasound Nerve Segmentation/train/*.tif"") if 'mask' not in img] img_masks = [get_mask_path(image_path) for image_path in img_ultrasounds] for img_ultrasound, img_mask in zip(img_ultrasounds,img_masks): img=cv2.imread(img_ultrasound,0) img2=Image.fromarray(img) mk=cv2.imread(img_mask,0) mk2=Image.fromarray(mk) ultrasounds.append(img) masks.append(mk) stat=ImageStat.Stat(img2,mk2) stats.append(stat) main() stats [<PIL.ImageStat.Stat at 0x35d356358>, <PIL.ImageStat.Stat at 0x35d356320>, <PIL.ImageStat.Stat at 0x35d356780>, <PIL.ImageStat.Stat at 0x35ccc1f28>, <PIL.ImageStat.Stat at 0x35d77fc88>, <PIL.ImageStat.Stat at 0x35d77fcc0>, <PIL.ImageStat.Stat at 0x35d77fcf8>, <PIL.ImageStat.Stat at 0x35d77fd30>, <PIL.ImageStat.Stat at 0x35d77fd68>, <PIL.ImageStat.Stat at 0x35d77fda0>, <PIL.ImageStat.Stat at 0x35d77fdd8>, <PIL.ImageStat.Stat at 0x35d77fe10>, <PIL.ImageStat.Stat at 0x35d77fe48>, <PIL.ImageStat.Stat at 0x35d77fe80>, <PIL.ImageStat.Stat at 0x35d77feb8>, <PIL.ImageStat.Stat at 0x35d77fef0>, ...] copy",0,None,4,Wed May 25 2016 22:56:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21220,/competitions/ultrasound-nerve-segmentation,None
/rdrozdz, social network dataset,"hello, I am looking for a set of data that will describe the user features( name, age …) and relationships between users? have you ever heard about it?",14,None,6,Thu May 26 2016 00:42:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21221,None,None
/rgalbo,Loan Sizing and Return On Lending,,0,None,1,Thu May 26 2016 00:54:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21222,None,None
/telmo31,Accuracy drop,"Hello everyone, This is my first competition here and right now I faced a surprise when doing my first submission. I turned the city into a grid and tried a RF classifier. I split the data for a square into 65% training data and 35% test data, randomly and tested the accuracy for squares in different positions in the city. It gave me results between 0.54 and 0.56 accuracy, depending on the place on the grid. Then I run it for the whole set (this only with one prediction for now). I was expecting a small drop when submiting the results, but it gave me 0.42. Is there any obvious reason for a drop like this, or it is just related with the variability of both sets? Thanks in advance",0,None,1,Thu May 26 2016 01:08:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21223,/competitions/facebook-v-predicting-check-ins,927th
/tonyliu,Most commonly used (natural) languages,That's a powerful language identification tool. I wonder if it is possible to show the level of interactions between language (e.g. people reply English tweets with other languages),3,bronze,5,Thu May 26 2016 01:51:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21224,None,None
/del=5464296a5f14b527,Predictions in the Democratic Primary,"Summary: I performed clustering analysis on the democratic primary counties using K-Means to get an idea of how Bernie Sanders and Hillary Clinton were impacted by certain demographics. After the analysis, I attempted to use a decision tree and K-NN classifier to predict the winners of the NY and PA counties prior to the races. My results were mixed: They show demographics had an impact on the democratic primaries although they are not alone always a good indicator of who will win a county/state. K-Means: K = 6, chosen from SSE graph Sum Squared Error vs Number of Clusters [Link]:http://philglopez.com/work/2016primary/sse.png Color map of K-Means Clusters: [Link]:http://philglopez.com/work/2016primary/kmeans.JPG K-Means Final Cluster Prototypes: Based on average of all members. [Link]:http://philglopez.com/work/2016primary/clusters.JPG K-Means Cluster Explanations and Conclusions: Cluster 1 - Light Blue: Counties with Native American Preserves. This is the smallest cluster of counties with a prototype population of 55% Native American. There is not enough data in the training set to comment on who has won in these counties. Cluster 2 - Light Green: Southwestern counties These counties are generally near the US border and are characterized by their high Hispanic population, with a prototype population of 50% Hispanics and 40% of the population who speak a language other than English at home. This cluster has the lowest average number of high school graduates at 78%. Clinton has won the majority of these counties with 120 wins to Sanders 21. Cluster 3 - Orange: Southeastern counties Counties in cluster 3 are almost completely limited to the southeast. It has the highest population decline at -1.56% and the largest Black/African American population of any other cluster. Clinton has won 100% of the recoded primaries in this cluster. This gives insight into the complete domination by her campaign in the southern states. Any primary classifier encountering counties with similar demographics should heavily favor Clinton. Cluster 4: Dark-Green - White counties experiencing growth Cluster 4 is the largest cluster by number of counties. It the highest average white population, moderate growth rate, and the lowest percentage of people below the poverty level at 12%. This is the only demographic where Sanders won more counties than Clinton, taking 55% of the counties. Sanders having the most wins in the cluster corresponds to the “momentum” his campaign experienced by winning 7 elections in a row during April of the 2016 primary as counties (Prupis). This was a result of counties in Cluster 4 beginning to hold their primaries. Cluster 5: Red: Counties with cities or dense populations The red counties represent counties that have or are near a city. They have the highest population growth at 4.74%, the highest number of people with a Bachelor's degree or higher by far at 31%, the second highest immigrant population at 10% and overall diversity across ethnicities. Clinton has won 75% of the counties within the cluster. While it does not match the 100% of her wins in the southeast, the cities in cluster 5’s counties have extremely large populations. In New York, Sanders won 53 of the 63 counties but still lost to Clinton by 16 points due to the size of New York’s cities (National). Cluster 6: Dark-Blue: White counties experiencing decay With the second highest white population across all of the clusters, these counties have lower education completion percentages for both high school and college than the counties in Cluster 4. They are also facing population decline, higher poverty rates and a slight increase in unemployment. This is Sanders second best demographic as he is able to win 29% of the counties within this cluster. K-Means Conclusion: The total insight gained by clustering the counties through K-Means was that Sander’s and Clinton’s win rates varied both across the clusters and within them. Some clusters had a definitive preference for candidates while others were split. This demonstrates demographics can aid in predicting the candidate a county will prefer in only some clusters. Other clusters may be ambiguous in terms of candidate preference and would require additional county data in order to make an accurate prediction. Decision Tree Prediction Implemented in Java Shannon Entropy/Information used as measure of homogeneity 99% accuracy of training set (a lot of over fitting) 55% accuracy in predicting PA primary prior to election Decision Tree Map of US County Predictions: Green = Bernie Sanders, Blue = Hillary Clinton [Link]:http://philglopez.com/work/2016primary/decisiontree.JPG KNN Prediction Implemented in Java K value of 5 75% accuracy of training set 50% accuracy in predicting PA primary prior to election KNNTree Map of US County Predictions: Green = Bernie Sanders, Blue = Hillary Clinton [Link]:http://philglopez.com/work/2016primary/knn.JPG Comparison Maps of KNN vs Decision Tree vs Actual Results for NY State democratic primary: Green = Bernie Sanders, Blue = Hillary Clinton [Link]:http://philglopez.com/work/2016primary/nyresults.JPG Maps of KNN vs Decision Tree vs Actual Results for PA State democratic primary: Green = Bernie Sanders, Blue = Hillary Clinton [Link]:http://philglopez.com/work/2016primary/paresults.JPG Conclusion Demographics have proven to be a good baseline to start predicting primary results. They are an important factor in whether or not a certain candidate will win an election. When demographic analysis is used in conjunction with other methods an accurate model for predicting primary elections should be possible. Other methods that could be useful include polling, social media sentiment analysis, voter turnout prediction, and campaign spending analysis. My data mining of these primary results has provided an excellent training ground for me to gain domain knowledge about election prediction, the challenges involved and how demographics related to election outcomes. I hope to use my knowledge gained to create improved prediction models in the future, especially looking forward to the 2016 presidential election.",3,bronze,Summary:,Thu May 26 2016 03:45:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21226,None,None
/erikson84,Can we discuss our modeling ideas?,"Are we allowed to discuss our ideas about how to improve the predictions? Of course, I don't mean in a very precise way, with R code and all, but just in general lines.",1,None,10,Thu May 26 2016 07:15:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21231,/competitions/can-we-predict-voting-outcomes,832nd
/rightfit,To Admin - what all duplicates in generationMethod 2,"Hi I posted this query in the Welcome thread. Did not get a reply hence creating a new thread. Can you please explain why all are duplicates for generationMethod 2 and are all the test pairs with generationMethod 2 (I know that is not provided but still) duplicate too ? Regds And there was a typo on the subject - cannot change it. Can some one with privilege please change the what to why ""why all duplicates in generationMethod 2""",0,None,6,Thu May 26 2016 08:15:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21233,/competitions/avito-duplicate-ads-detection,13th
/sicarbonnell,Unknown sponsor?,"EDIT: seems I am wrong, sorry for this useless post… The sponsor of this competition seems to be kept secret. It feels important to me to know who I would be working for by joining the competition. Two questions: Am I right? Is the sponsor kept secret or am I just not able to find it? Is it common for Kaggle not to publish the competition sponsor? Thanks in advance! Simon",0,None,1,Thu May 26 2016 10:39:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21235,/competitions/ultrasound-nerve-segmentation,57th
/niclaij,Correlation of the questions,I am wandering if there is any way that we can get correlation coefficients between the independent variables that are in the form of factor (instead of integer or numeric)? Thanks guys! Any help will be much appreciated :),1,None,2,Thu May 26 2016 11:11:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21237,/competitions/can-we-predict-voting-outcomes,1452nd
/statchaitya,Keras starter: Queries,"Hi, I am trying to learn from ZFTurbo's Keras starter script. I am a non-CS background DS. I just don't get why the cache_data, restore_data, save_model, restore_model functions are there for. I am going sequentially understanding each and every line of code from the top but I am stuck at these 4 functions. Can't make sense of them at all. Specially when cache_path and if not condition is used in the function read_and_normalize_train_data Sorry if the answer to this one is too trivial, but I need to know this. Can anybody explain their role in the script? And if possible, give an analogy of this script with the traditional non deep learning scripts too. Thanks, -CG",1,bronze,1,Thu May 26 2016 11:38:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21238,/competitions/state-farm-distracted-driver-detection,910th
/tzgr82cu,unable to download .csv files to macbook - opens up in another safari window,Throughout the course I have been accessing the .csv files from the downloaded zip folder. I am struggling to download three .csv files for the coursework to save and the load to R. When I click on the links to each .csv file they just open to a safari window but don’t actually download so I can’t save them to the coursework file to later retrieve. Any idea how I can do this.,0,None,3,Thu May 26 2016 13:13:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21239,/competitions/can-we-predict-voting-outcomes,2729th
/chistyakov,R - Try to add hour_rating,-,0,None,7,Thu May 26 2016 13:24:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21240,None,None
/vykhand,Interactive booking trends,Same interactive trend charts ans in [Link]:https://www.kaggle.com/c/expedia-hotel-recommendations/forums/t/21188/interactive-timeseries-visualization-with-bokeh but instead of Spark I am using pandas which allows me to host it on kaggle,0,None,2,Fri May 27 2016 02:00:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21257,None,None
/marcosalves,caret package - erro de instalação,"Hi R experts, Mais alguém com problema para instalar o 'caret' e/ou 'pbkrest' e/ou 'mlbench' e/ou 'crossval'? Ja tentei; update do R, baixar package manualmente, detach… Obrigado. R newbie.",0,None,2,Fri May 27 2016 02:44:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21258,/competitions/eee901-2016-01-tp-final,9th
/captcalculator,Why are all trains originating in Thorndale marked as southbound?,Every train with Thorndale and Trenton as the origin are marked 'N' for northbound. This doesn't seem to make sense. Aren't all trains originating from those terminals going south?,1,bronze,2,Fri May 27 2016 03:12:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21259,None,None
/valeriur,python starter ~0.55,"script runs in ~20 hours, output can not be submitted as is, as a homework you have to do a bit of transformation to make it ingestible by kaggle scoring system",0,None,8,Fri May 27 2016 08:54:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21260,None,None
/zetoto,Collaborative filtering,"Hello, I was considering entering the competion. Since, I am currently working on collaborative filtering techniques, I was thinking about a user-rating matrix with items as hotel clusters. And give it a first shot using neighboorhods methods. Has anyone tried this approach? Is this feasible? Thanks for you help!",0,None,1,Fri May 27 2016 09:41:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21261,/competitions/expedia-hotel-recommendations,None
/vidyams,Test and train data ,Hi! Needed a clarification regarding data to be used for modelling . The 'test2016' data does not have the dependent variable 'party' … why is this so ? Are we supposed to use this as the test data or split 'train2016' data into train & test ?? Thanks .,0,None,9,Fri May 27 2016 09:53:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21262,/competitions/can-we-predict-voting-outcomes,1993rd
/katjail,Use of Data for Academic Research,"Hellow. I want to know if I am allowed to use the data from this competition to write my masters thesis at Faculty of Economics, University of Ljubljana. Thank you and best regards, Katja",8,bronze,4,Fri May 27 2016 11:57:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21263,/competitions/GiveMeSomeCredit,None
/randombishop,From machine learning product to business ?,"Hi Kagglers, I have this 1$ machine learning product idea ( [Link]:http://www.searchandrank.com) and would like some advice from people who have experience in early stage business startup. Should I search for a partner, write my own business plan, buy coaching, search for funding, I really have no clue about what my next step should be. I mainly have technical skills, so any pointers to the other side of the world would be welcome . Are there any tutorials like ""Hello Business Plan"" ? Cheers !",3,bronze,6,Fri May 27 2016 12:04:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21264,None,None
/sergeycherkasov,Kaggle script,"Dear all, I try to run my markdown code, but there is a problem with reading data. The code is: char <- read.csv(""../input/character-deaths.csv"", stringsAsFactors = F) copy However I get error Error in file(file, ""rt"") : cannot open the connection copy What am I doing wrong? SC",0,None,1,Fri May 27 2016 14:35:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21266,None,None
/maxthomais,Script to help automate some initial data analysis ...,"Hey everyone, I am sharing this script to help automate some initial data analysis … As I understand it, any code shared to everyone is within the rules, but mods feel free to delete If I have gone too far. This script loops over all the Questions and looks for a bias between possible answers from republicans v democrats and prints out a list of the biased answers. You can edit the params at the end, the change the thresholds. Enjoy! [Link]:https://www.kaggle.com/maxthomais [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121567/4336/data_investigation.r",8,bronze,28,Fri May 27 2016 15:27:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21267,/competitions/can-we-predict-voting-outcomes,2451st
/kikimeow77,Finding Sharing: What are the most important variables for your model? ,"Just want to open a discussion about the most important variables that people observe. The most important variables according to the random forest model I ran were as follows: 109244 Are you a feminist? 115611 Do you personally own a gun? 113181 Do you meditate or pray on a regular basis? 111220 Is your alarm clock intentionally set to be a few minutes fast? EducationLevel 106272 Do you own any power tools? (power saws, drills, etc.) 98197 Do you pray or meditate on a regular basis? 116601 Have you ever traveled out of the U.S.? Income.under $25,000 HouseholdStatus.Domestic Partners (no kids) 98869 Does life have a purpose? 121700 2013: did you start a new romantic relationship? 108855 Do you enjoy getting together with your extended family? Another random observation: I noticed that two questions (98197, 113181) are practically the same but some individuals have different answers for the two questions: 98197 Do you pray or meditate on a regular basis? 113181 Do you meditate or pray on a regular basis? table(train_orig$Q113181,train_orig$Q98197) No Yes copy No 1556 100 Yes 130 1013 Makes you wonder how serious people answered the questions.",0,None,7,Fri May 27 2016 17:54:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21269,/competitions/can-we-predict-voting-outcomes,1114th
/datascientist107445,SVM with Categorical Data,"I have data with 4 attributes which are all categorical (hour, day, month, region) and the fifth attribute is number of events (which is integer and not categorical). Number of rows of data is about 57000. I have tried to model prediction of number of events with 4 categorical predictor variables. I have tried SVM and Random Forest in R with not much success. Seems like both these algorithms have problem in processing all categorical data. I have tried explicitly coding the dummy variables for the categorical variables. I wanted to see if anyone has experience with this type of data and an approach which can lead to good results.",0,None,2,Fri May 27 2016 22:03:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21272,None,None
/raraulbl,End of Competition,Are they going to show us the best way to do this problem at the end of the competition?,1,None,1,Fri May 27 2016 22:27:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21273,/competitions/can-we-predict-voting-outcomes,730th
/ajayl1,Error with prediction on Train set also,"I started on Kaggle today. As a first step I predicted on train set. I ran following lines. However, I am getting error with predictions on Train set also. train=read.csv(""train2016.csv"") test=read.csv(""test2016.csv"") table(train$Party) Democrat Republican 2951 2617 SimpleMod = glm(Party ~ . -USER_ID, data=train, family=binomial) PredTrain = predict(SimpleMod,type=""response"") table(train$Party,PredTrain) Error in table(train$Party, PredTrain) : all arguments must have the same length",0,None,9,Sat May 28 2016 07:25:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21275,/competitions/can-we-predict-voting-outcomes,2816th
/sayantan,Keras : Can I run a model training with small epoch in a loop,"Hi, I am new to Data Science, and very new to Image processing, actually this will be my first attempt. Hence my question may be naive. (Also kindly do not blast me for no submissions. I am a genuine person and trying to learn from Kaggle. I am trying, but it is taking humongous amount of time to train these models with my limited resources). I want to train a Keras model with a small epoch size( Say 5). Then I want to put this training in a loop. The loop will run for 10 iterations. I will state the reason as to why I am doing this. I don't have access to powerful hardware. A simple epoch on my machine takes 3 Hrs to run.I was trying to run for 50 epochs. 3 days into the training, Windows crashed and I lost every thing, time and whatever progress the model made. My sample code would be like this: ============================================== for i in range(10): print(i) model.fit(X_train, Y_train, batch_size=batch_size, nb_epoch=5, shuffle=True, verbose=1, validation_data=(X_valid, Y_valid), callbacks=callbacks) print(""Saving model…."") save_model(model) My idea is to run the model for small epochs, save the model, re load, recompile and continue with training for the next round with the same data. I believe this is equivalent to running the model for 50 epochs. From what I read about CNN and Keras, I understand this is possible as these models can be trained incrementally. Just wanted the advice of the experts as to whether this will work fine, or my understanding is wrong and I am making a fundamental mistake. Apologies for the long post. Thanks and regards Sayantan Raha",0,None,6,Sat May 28 2016 10:04:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21277,/competitions/state-farm-distracted-driver-detection,None
/sivam0409,Training Data - Filtering,"Hi Everyone, From train data,I'm considering rows where Booking equals '1' i.e., is_booking = 1 for developing model. Is it correct way ? Can someone confirm me. Regards, Siva",1,bronze,1,Sat May 28 2016 11:32:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21279,/competitions/expedia-hotel-recommendations,None
/namra42,Slowly learning ML,very neat script,0,None,5,Sat May 28 2016 13:22:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21280,None,None
/raghunemani,Fundamental Question...,I have a very basic question and I am not sure if this is the right forum. My apologies if I have asked an inappropiate question. Is this machine learning problem. Classification problem OR Clustering problem. I am torn between the two and wanted to get some thoughts.,-3,None,2,Sat May 28 2016 15:22:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21281,/competitions/facebook-v-predicting-check-ins,None
/gbersac,How could my random forest perform worst than logistic regression,"I tried two basic models : random forest and logistic regression (the model we downloaded). Random forest perform worst when submitted to kaggle ! model = randomForest(Party ~ . - USER_ID, data=train, na.action = na.omit, nodesize = 25, ntree=200) copy Isn't random forest always supposed to perform better than logistic regression ? What is wrong with my random forest implementation ?",0,None,9,Sat May 28 2016 16:34:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21282,/competitions/can-we-predict-voting-outcomes,2513th
/jypucca,"Large data files, Python on cloud","Hi, While going through the image files, I realize how big the data sets are (zipped train file was 1GB). Right now I'm running Python on my work desktop, but I'd like to transition to running python and developing my code on cloud. I want a service that offers fairly fast computing power/speed, and allows me to store large data sets such as the ones for this competition. I already tried pythonanywhere, but they seem to have issues with people uploading large zipped file in one go. Any thoughts and suggestions would be greatly appreciated, thank you! Jenny",0,None,3,Sat May 28 2016 16:38:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21283,/competitions/ultrasound-nerve-segmentation,None
/jfguerra,CAN'T GET SUMMARY TO SHOW NAs ON TRAINING SET,"I know there are a lot of missing values on the training set (as well as the test set). However, I can't get any NAs on the summary function of the training set after reading it into R. Only YOB shows info for NAs.",0,None,4,Sat May 28 2016 19:09:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21284,/competitions/can-we-predict-voting-outcomes,2789th
/jcfavre,Error with Random Forest,"I am trying to generate a Random Forest I am getting following error Error in na.fail.default(list(Party = c(1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, : missing values in object I tried everything I could, but not able to figure this out. can anyone help?",0,None,2,Sat May 28 2016 22:03:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21285,/competitions/can-we-predict-voting-outcomes,266th
/mjrams73,R import problems,"When I download the data set it looks fine. But when I try to import into R, it comes in as just two columns. Am using a Mac. I'm a total newb. So I'm sure I'm overlooking some completely obvious mistake. But any help would be greatly appreciated.",0,None,2,Sat May 28 2016 22:38:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21286,/competitions/kobe-bryant-shot-selection,None
/kaushikvatsal,Error while performing K-Means clustering.,"When I run the command: km = kmeans(train, centers = k) I get the following error: Error in do_one(nmeth) : NA/NaN/Inf in foreign function call (arg 1) In addition: Warning message: In kmeans(train, centers = k) : NAs introduced by coercion Can anyone please tell what is causing this and what do I need to do to solve this. Thanks.",6,None,15,Sat May 28 2016 23:14:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21287,/competitions/can-we-predict-voting-outcomes,1982nd
/howardxie,How to better parallelize xgboost? ,"Hi guys: I'm running python xgboost on a pretty hefty machine, but somehow I'm not able to fully use its power - from the ""top"" command I see only 1 core is being used (to 100%), but for the others not so much. I used scikit-learn's random forest module in the past on this same machine and I was able to see multiple cores being used to 100% from ""top"" command. Here are my parameters for xgb model: param = {} param['objective'] = 'multi:softprob' param['eta'] = 0.05 param['max_depth'] = 6 param['silent'] = 1 param['nthread'] = -1 # perhaps I set this wrong? param['eval_metric'] = 'merror' param['num_class'] = overall_num_of_classes copy I've also attached a screenshot of the output from my ""top"" command. Thanks in advance for your kind help! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121693/4339/top_output.PNG",0,None,5,Sat May 28 2016 23:19:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21288,/competitions/facebook-v-predicting-check-ins,None
/raraulbl,Imputed Variables back into Original df,Is there a way to get all the Imputed Variables back into the original data frame without typing out every single variable?,0,None,7,Sun May 29 2016 00:30:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21290,/competitions/can-we-predict-voting-outcomes,730th
/davidpinto,Mostre ao seu GLM o que seu KNN enxerga,"A performance do KNN nessa base de dados realmente me surpreendeu! Por ser um método muito simples, eu não esperava que funcionasse tão bem. Porém o KNN não é tão bom para predizer probabilidades quanto um modelo GLM… Seria interessante, portanto, unir a interpretação que o KNN faz dos dados originais com a capacidade que o modelo GLM tem de predizer probabilidades. Mas como fazer isso? Uma primeira abordagem, relativamente simples, é criar 7 features novas a partir das originais. A primeira delas contendo as distâncias de cada observação ao seu vizinho mais próximo dentro da classe 1. A segunda contendo as distâncias ao vizinho mais próximo dentro da classe 2, e assim por diante. Procedimento: Para recriar o conjunto de teste, basta calcular as distâncias em relação às observações rotuladas do conjunto de treinamento. Para recriar o conjunto de treinamento, eu sugiro utilizar uma abordagem k-fold, a fim de evitar overfitting. Funcionaria assim: divida os dados em k partes (use a função do pacote caret que apresentei na último post). Escolha a partição 1. Para gerar a primeira feature, calcule a distância das observações da partição escolhida ao vizinho mais próximo dentre as observações das partições 2:k que pertencem à classe 1. Faça isso para as demais classes, a fim de gerar as 7 features. Agora repita o procedimento escolhendo a partição 2, e assim por diante. Esse procedimento é uma forma de gerar as novas features tal como foi feito para o conjunto de teste. Em cada iteração você terá gerado as features somente para uma das partes. Depois é só unir as partes para obter o novo conjunto de treinamento. Use-o para ajustar seu modelo GLM. Depois faça as predições para o novo conjunto de teste que você gerou. É um pouco complicado. Mas funcionou muito bem para mim! Sem contar que reduz muito a dimensão dos dados. Recomendo o pacote RANN para calcular as distâncias. Todo o procedimento de geração das features demorou menos de 15 minutos na minha máquina (Core i3 e 8GB de RAM). Dica: Monte sua abordagem primeiro para uma base menor. Use o conjunto de dados iris, que também é multiclasse. Tendo funcionado para a base iris, aplique no problema do trabaho.",0,None,2,Sun May 29 2016 03:58:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21291,/competitions/eee901-2016-01-tp-final,1st
/bjv1000,Stuck at CART,"I could do CART and prediction D versus R predictCART worked PredictROC worked but when I do pred = prediction(PredictROC[,2], testNew$Party) Error in prediction(PredictROC[, 2], testNew$Party) : Number of predictions in each run must be equal to the number of labels for each run. I get error - any hint will help - stuck :-(",0,None,1,Sun May 29 2016 11:08:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21293,/competitions/can-we-predict-voting-outcomes,1257th
/pappukrjha,Winning Model Script,"Has anyone among winners posted their solution? I have faced a lot of problem in handling the ever increasing size of data with increase in no of features. Would love to learn, how winning teams have managed that. Thanks.",0,None,2,Sun May 29 2016 13:48:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21295,/competitions/home-depot-product-search-relevance,1766th
/piotrgrabo,-omics data sets on Kaggle,"Hey, I'm really happy that there is some biological context popping up on Kaggle. I think if the community were to follow it, it should be formatted in some more conceptually digestible manner. Most people have very basic understanding of how the cells function on molecular level (at least almost all of my computer-savvy IT friends, I checked;) ). That's why I believe it would draw more attention if they were not required to jump into the many concepts, but rather follow one story using multiple ""black boxes"" or metaphors to ease the immersion process. Maybe one could distill one main question and pre-format some of the potentially necessary data? Generally speaking, not knowing what to look for (at all) might be the biggest issue keeping more Kagglers away from such data. Best, Piotr",4,bronze,10,Sun May 29 2016 16:50:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21296,None,None
/afigar,A hint about Data,"For a newbie like me I'm not able to use any algorithms other than the ones I've learned in this course. So I've achieved a 0.63 score using randomForest and I can't improve it anymore, for now. I'm focused on data and how to best tailor it to obtain better predictions. It happens that througout the course, we have been given all data ready for processing. We need more information on how to work with data to get better results. So a Hint about this would be fully appreciated, without breaking any rules, of course. For example I created a factor variable with people under 20, 20 to 50 and over 50 y/o. Am I doing right? Is this a good way to go?. Once I get data ready I'll try to cluster an then predict, hoping that would give me the best predictions I could get.",4,None,14,Sun May 29 2016 18:21:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21298,/competitions/can-we-predict-voting-outcomes,308th
/tonyliu,General EDA and a Movement network chart,"Hi, the network idea is great! I will study this package when I got time. Additionally, grouping observations by ""char"" alone is not enough as one ""char"" can create more than one avator (e.g. player leveled one avator 70 and then create another one). That's why you see the anomalies in the leveling chart. I created a new ""type"" variable ""char.race.charclass"" to control for that.",2,bronze,2,Mon May 30 2016 01:09:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21303,None,None
/bekterra,Problem with submission,"Hey guys, I'm having problem with submission. So when I predicting in PredTest it is showing that I've got 1392 observations but after I run this code PredTestLabels = as.factor(ifelse(PredTest<threshold, ""Democrat"", ""Republican"")) to label my predictions it is showing that I've got 4176 observations. Any suggestions?",0,None,1,Mon May 30 2016 03:41:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21305,/competitions/can-we-predict-voting-outcomes,264th
/humoyun,What is the encoding of ItemInfo_train data,"I am having difficulty of reading some fields of this file, namely, description, title and attrsJSON. Is there anybody who can provide some script on reading this fields properly?",0,None,6,Mon May 30 2016 05:23:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21306,/competitions/avito-duplicate-ads-detection,443rd
/normallydistrbuted,AWS tutorial for Python,Guys I found that there are not many resources to aid with setting up AWS for the first time so I created this blog series. Part 1 is setting up a first instance and part 2 is setting up a Python Notebook server. Next part will be setting up R. Hopefully some of you find this valuable for future competitions [Link]:http://www.grant-mckinnon.com/?p=6,8,bronze,3,Mon May 30 2016 06:35:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21308,/competitions/expedia-hotel-recommendations,None
/dantec,For Fun,you mean all images share those pixels?,0,None,1,Mon May 30 2016 07:35:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21309,None,None
/dmenin,MAP 5 and XGB,"Dear colleagues, was anyone able to use XGB with objective='multi:softprob' and 'map@5' ""eval_metric""? As I understand, it is not supported. is there a work around? Thanks",0,None,2,Mon May 30 2016 10:59:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21311,/competitions/expedia-hotel-recommendations,490th
/bpellens,Getting Started Script,"Hello, I just wanted to test the Getting Started script provided. However, when I execute this script on the data I get a csv file produced containing all strings in qoutes. It shows the following error: Column 'PREDICTION' was not expected (Line 1, Column 11) Required column 'Predictions' could not be found Anything I am doing wrong here? Thanks in advance. Regards, Bram",0,None,3,Mon May 30 2016 11:06:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21312,/competitions/can-we-predict-voting-outcomes,568th
/abhinavs01858,Kaggle Users With Most Forum Karma,This seems fun!! :),0,None,1,Mon May 30 2016 11:39:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21314,None,None
/nagabhushan1234,Where to store the uncompressed data?,Can anyone please tell me where to store this large amount of the uncompressed data.,0,None,1,Mon May 30 2016 14:06:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21315,/competitions/malware-classification,None
/rajirk,Error during submission,"I am receiving the following error whenever I tried to submit a solution using CART. What do I seem to be doing wrong? Any hints. Column 'PREDICTION' was not expected (Line 1, Column 11) ERROR: Required column 'Predictions' could not be found.",0,None,1,Mon May 30 2016 14:33:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21316,/competitions/can-we-predict-voting-outcomes,2106th
/maxthomais,MICE : factors v ints ?,Does anyone know should it make much of a difference to MICE if its imputing a bunch of TRUE or FALSE factors versus imputing a bunch of 0 or 1 ints?,0,None,1,Mon May 30 2016 14:55:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21317,/competitions/can-we-predict-voting-outcomes,2451st
/paulzhong,Questions about CNN,"During my study of CNN, i have some questions: What's the function of convolution during CNN? How it works? Does anyone know the principle？ And how to create a suitable kernel ? Thanks before.",0,None,2,Mon May 30 2016 17:15:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21318,/competitions/state-farm-distracted-driver-detection,None
/allameh,Different results with new data frames for imputed data,"Hi, Since we all know that the imputation with mice takes too much time, and if we want to test another model or change something, or start over anyhow, we need to use mice again which cost us a lot of time. So, I came with this probably wrong idea of using write.csv function to make 2 new files for the imputed data frames. This should save me lots of time. I did so, but the result for using an exact modeling steps with: 1- reading original train and test data frames > Imputation > making a model > predictions > submission. 2- reading imputed train and test data frames > making a model > predictions > submission. are totally different (not an improvement). Could you please tell me what is wrong? Thank you. p.s I simply used: write.csv ((imputeTrain, ""train2.csv""))",0,None,2,Mon May 30 2016 18:20:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21319,/competitions/can-we-predict-voting-outcomes,1553rd
/pchylek,Need Help: Technical Problem,"(1) I could not split the data, was told there is no library(caTools) (2) I re-installed caTools package- see below - all seems good (3) When I try library (caTools) - I am told there is no package ""caTools"" (4) I tried to install with different CRANs - no help (5) Some suggestion? Did someone run in a similar problem? Thanks install.packages(""caTools"") trying URL 'https://mirrors.nics.utk.edu/cran/bin/windows/contrib/3.3/caTools_1.17.1.zip' Content type 'application/zip' length 284407 bytes (277 KB) downloaded 277 KB package ‘caTools’ successfully unpacked and MD5 sums checked Warning: cannot remove prior installation of package ‘caTools’ The downloaded binary packages are in C:\Users\179915\AppData\Local\Temp\RtmpA1KhUR\downloaded_packages library(caTools) Error in library(caTools) : there is no package called ‘caTools’",0,None,2,Mon May 30 2016 18:30:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21320,/competitions/can-we-predict-voting-outcomes,1662nd
/zzxcornell,high log loss using neural network model,"I was able to get a 2.35 log loss ranking top 16% in the leaderboard by using random forest in sklearn in python. However, when I switch to neural network classifier with following parameter and previous engineering features, it decreases to only 2.55: model = MLPClassifier(algorithm='adam', alpha=1e-5, hidden_layer_sizes=(100,), random_state=1) I am wondering if this is because I am not tuning the parameters right, or neural network does not work well with classification in this case? If it is the problem of parameter tuning, can anyone give some suggestion on how to better tuning it in this competition?",0,None,3,Mon May 30 2016 20:18:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21321,/competitions/sf-crime,456th
/ondrejm,Is it moral?,"This sentence made me quite sick … ""These hotel clusters serve as good identifiers to which types of hotels people are going to book, while avoiding outliers such as new hotels that don't have historical data."" …",0,None,2,Mon May 30 2016 21:24:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21322,/competitions/expedia-hotel-recommendations,None
/tomd2016, negative weights not allowed    GLM ,"partyModel = glm(Party ~ -USER_ID, -YOB, data=partyTrain, family=binomial) Error in glm(Party ~ -USER_ID, -YOB, data = partyTrain, family = binomial) : negative weights not allowed As a novice it is error messages like this that are inscrutable! Any suggestions would be appreciated. I ran mice without USER_ID and YOB, then put them back in the data frame. ImputedTrain <- train[3:106] imputedTrain2 = complete(mice(ImputedTrain)) imputedTrain2$USER_ID = train$USER_ID imputedTrain2$YOB = train$YOB The dataframe appears OK. str(imputedTrain2) 'data.frame': 5568 obs. of 106 variables:",0,None,3,Tue May 31 2016 02:54:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21325,/competitions/can-we-predict-voting-outcomes,2160th
/austin6,What is train mask CSV good for?,"The train mask csv file contains only some of the masks, so we can't use it for the training without generating the rest of the masks in this format, but if we're doing that, why do we need any provided? Is there an obvious use for this file I'm missing? Thanks!",0,None,2,Tue May 31 2016 04:47:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21326,/competitions/ultrasound-nerve-segmentation,823rd
/captcalculator,timeStamp0 ans timeStamp1,"What exactly do timeStamp0 and timeStamp1 represent? [Link]:https://www.kaggle.com/septa/on-time-performance it states that these are the first and last time stamp at the coordinates, but what exactly does this mean? The coordinates are just one point, so how can a train remain at a single point for (timeStamp0 - timeStamp1) seconds? Or do these coordinates represent specified stretches of track rather than a single point?",0,None,1,Tue May 31 2016 05:37:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21327,None,None
/chu1990,2-D check-in scatter plot of several place_id,"I plot the 2-D check-in point distributions for several place_id. The figures are attached in the post. The figure files are named as ""A-B.png"". A means the number of check-in points, and B means the place_id. The x, y axises are the same as the training data's. The one circle is one check-in record. The radius of the each circle is the accuracy value of that check-in record. From the examples I attach, we could observe several patterns. Two dense check-in centers. 1099-1654576295.png, 100-1013434352.png show two dense check-in centers. [Link]:http://www.cs.nmsu.edu/~chu/kaggle/1099-1654576295.png [Link]:http://www.cs.nmsu.edu/~chu/kaggle/100-1013434352.png One dense center. 78-3564561498, 100-2090357921 only have one dense center. [Link]:http://www.cs.nmsu.edu/~chu/kaggle/78-3564561498.png [Link]:http://www.cs.nmsu.edu/~chu/kaggle/100-2090357921.png In both pattern 1, 2 it seems that the check in distribution is horizontal. 2-D Gaussian distribution. 500-1037530880, 1099-2972810778 look like 2-D Gaussian distribution with very dense check-in points at the center. [Link]:http://www.cs.nmsu.edu/~chu/kaggle/500-1037530880.png [Link]:http://www.cs.nmsu.edu/~chu/kaggle/1099-2972810778.png 100-1008823061 shows random check-in patterns. [Link]:http://www.cs.nmsu.edu/~chu/kaggle/100-1008823061.png I did not explore how ""time"" affect the check-in patterns. This is my next step. I hope these figures could help you on explore the data set. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121933/4344/100-1013434352.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121933/4345/100-2090357921.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121933/4346/100-1008823061.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121933/4347/78-3564561498.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121933/4348/1099-1654576295.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121933/4349/500-1037530880.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/121933/4350/1099-2972810778.png",2,bronze,2,Tue May 31 2016 06:09:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21328,/competitions/facebook-v-predicting-check-ins,91st
/goodie,Results using *only* what the class teaches,"Hi there, I read a lot about a bunch of methods that are not covered by the class, which I have no problem with. However, I am wondering, overall, for people who have tried to stick with the models that we learned in class (even only at first), what was your best accuracy on the test set after you cleaned/preprocessed/imputed etc.? I am curious as to how good we can actually get using only what we have learned, e.g., using only the right vars maybe a RF model performs really well? Cheers, Goodie",0,None,29,Tue May 31 2016 07:11:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21329,/competitions/can-we-predict-voting-outcomes,1999th
/del=b877f8ba8aafad9b,Heatmap 2016 US Election Primary Results,"Hii,I was trying to recreate the plot but I got a warning message(however I got the plot exactly like yours).My code: primary_results=subset(primary_results,candidate %nin% c(""No Preference"",""Uncommitted"")) primary_results$candidate=factor(primary_results$candidate,levels=rev(sort(primary_results$candidate))) Warning message: In levels<-(*tmp*, value = if (nl == nL) as.character(labels) else paste0(labels, : duplicated levels in factors are deprecated Did you get the same message? I am trying to understand what it means.Thanks",1,None,2,Tue May 31 2016 09:01:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21331,None,None
/leexiongan,Feature Engineering from Survey Questions ,"I was wondering if people could share what useful features they got from the survey questions, which could be used to get a better model. I am doing it both by looking and analyzing the survey questions by eye, and trying combinations of two features onto a CART. If they synergise, they i would take them. (Still figuring the latter out) Firstly, i think number of NA might be important , maybe specifically number of NA for the important questions, namely (whether you pray and own a gun and feminist), and total questions answered. There are some who left all the 100 answers blank ,and some who left no answers blank. The complete ones would be much more informative than the blanks, who might just be someone who does the survey, and gets bored before the second question. Hope that more could share and all of us learn more.",4,None,51,Tue May 31 2016 11:27:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21333,/competitions/can-we-predict-voting-outcomes,1255th
/tomkowski,Looking for server traffic data,"Hi, I'm trying to predict load on the server and therefore I need time-series data with the requests to a given server. The data I find online is either too coarse-grained (I need something around 1min intervals if not more precise) or collected over a short period of time. Ideally, I would like to get all HTTP requests to a website of some shop over at least a few months. Do you know of any datasets matching this description? Thank you very much! Regards, Tom",0,None,1,Tue May 31 2016 13:09:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21335,None,None
/sandorh,Eredmény file mezőnevek,"Sziasztok! Elárulná valaki nekem, hogy milyen oszlopfejléceket kell alkalmazni az eredmny beküldéséhez? Köszönöm. Hegedüs",0,None,2,Tue May 31 2016 13:14:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21336,/competitions/dap-2016-nagyh-zi-kickstarter,32nd
/mellon,how to improve score in LB?,"HI kagglers: in the competition of kobe, i applied randomforest to make a classifier to predict the target together with reduce features through PCA, now, i have no better idea to improve score in LB, dose anyone have better idea to share?",1,bronze,5,Tue May 31 2016 13:20:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21337,/competitions/kobe-bryant-shot-selection,151st
/anoopkulkarni,Drastic improvements,"Hi, I see couple of submissions taking categorization accuracy to above 0.8. Thats a massive improvement over the rest. Would like to understand, if their focus is on preparing data (and may be overfitting) or on a better model? ~anoop",6,bronze,115,Tue May 31 2016 13:49:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21338,/competitions/can-we-predict-voting-outcomes,430th
/alvanson,Multicore cross-validation,"On Unix-based system (Linux, OS X) the caret library can (semi-automatically) take advantage of multiple cores for a near-linear speed-up using the following: library(doMC) registerDoMC(cores=#) copy Replace # with the number of cores in your processor minus 1. I have a quad-core processor, so I've used cores=3. More information is on the [Link]:http://topepo.github.io/caret/parallel.html.",1,bronze,9,Tue May 31 2016 15:06:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21339,/competitions/can-we-predict-voting-outcomes,386th
/donaldduck,test2016.csv,hello community(: i have a quick question regarding the test file that is available for download. as mentioned on the competition data page the dependent variable has been removed from this file. what is the purpose of the test file then? we cannot use it to test our models (because the dependent variable is missing). is it only meant to give us a sense of the test data that is used to check submissions? or am i missing something else? thanks for your help!(:,0,None,4,Tue May 31 2016 15:12:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21340,/competitions/can-we-predict-voting-outcomes,2166th
/sterby,Local or Global problem formulation,"Hi guys, there is some popularity in using a different model for a coordinate based patch of the data, aka a local formulation. This looks reasonable to me since alot of classes will be only aware at one location (am I right?). So in general: Is the local setup prefered to the global one (one classifer on the whole set)? Regards, Sterby",0,None,2,Tue May 31 2016 16:59:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21341,/competitions/facebook-v-predicting-check-ins,346th
/artemkoval,Factorization Machine Algorithms And Implementations For Implicit Feedback?,"Spark ASL supports only (user, item, measure) implicit pairs, libfm supports any number of features but no implicit feedback ranking (only classification/regression). Is there good articles/implementations about algorithms that allow any number of features and support implicit feedback?",1,None,2,Tue May 31 2016 17:07:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21342,None,None
/beedata,How to train xgb by chunk?,"How could we train xgb by chunk? If we split our train data into 10 chunks and train each chunk and predict the test data and then average these 10 predictions, how could guarantee each chunk has enough information of all users? Thank you.",0,None,1,Tue May 31 2016 17:16:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21343,/competitions/expedia-hotel-recommendations,151st
/svpons,grid_plus_classifier,"My best submission is mainly based on this script. The LB score of the current state of the script should be very low, but changing the classifier, the size of the grid, and the threshold th; it should be possible to get LB ~0.58. Of course, depending on the parameter selection it can also take a lot of time to finish…",7,silver,29,Tue May 31 2016 17:18:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21344,None,None
/brandao,XGBoost in R - Kobe Bryant - benchmark,"I did not improve the parameters in this execution because there is a time limit to execute the script in the server. You can copy the script and run it in your own machine, tuning parameters of XGBoost. For example, In my opinion, you can increase values of subsample and colsample_bytree. Another one is the ""eta"". Small values are better. During the cross validation, I am using more folds to get confidence. Another improvement is related to the concept of sliding window to train your model and apply only in future events… You can create many time windows. It can help you if you create new features related to the performance of Kobe during last events, considering seasonality.",8,bronze,12,Tue May 31 2016 17:25:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21345,None,None
/matt605,"Top 10 destinations by order of hotel bookings, for last 20 years.","Expedia announced a sale today along with some operational metrics, including top 10 destinations for the past 20 years. [Link]:http://prn.to/1sYDSJC",0,None,2,Tue May 31 2016 18:12:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21346,/competitions/expedia-hotel-recommendations,1654th
/codingfun,Feature Engineering V1.2,"Hello guys, I made some tweaks to my model. And I really hope someone could give me some feedback and constructive suggestion. I'll appreciate it. Many thanks!",0,None,1,Tue May 31 2016 19:46:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21347,None,None
/diwiwo,All masks average,Nice Vishal! I added a logaritmic correction which I hope will add to the insights: [Link]:https://3.bp.blogspot.com/-tlbeosBOtQ8/V03c9WeJOwI/AAAAAAAADQQ/xkW2QwrTKgwU0DSGEgnYrS-LkX8NtNHoACLcB/s400/logaritmic.png,3,bronze,2,Tue May 31 2016 20:52:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21348,None,None
/steve412smith,SEPTA Exploratory Analysis,Most bars in Philly close at 2am so I would imagine that the 2am spike is due to late night riders leaving bars. Would be interesting to look at that 2am spike on Fridays and Saturdays to see how it compares to regular weekdays. Nice work!,5,bronze,3,Tue May 31 2016 22:11:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21349,None,None
/johnwlmerrill,Are the distances jittered?,I've been running some consistency tests for the distance measurements in the data. It appears to me that some of the distances have been jittered. Does anybody know if this is the case?,0,None,2,Wed Jun 01 2016 04:02:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21350,/competitions/expedia-hotel-recommendations,None
/msjgriffiths,RMarkdown - Exploratory Analysis of NFL ,"Nice script! The weeks.split function caught my eye - I think a slightly clearer way would be to do something like this (using lubridate functions): data %>% mutate(Date = as.Date(Date), week = Date - min(Date), weeknum = as.period(week) %/% weeks(1) + 1) -> data copy That should provide the same 1 - 17 offset you have, but also be both more readable and more flexible.",3,bronze,3,Wed Jun 01 2016 05:37:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21351,None,None
/carhbtt,Imputation error,"Hello. When I was trying to impute the train set with imputed = complete(mice(originalTrain)) I got the following error: Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE, : too many (1146) weights I just removed the Party variable and left all other variables in the dataframe, should I split the data frame into multiple df´s or what is the best approach? Thanks.",0,None,3,Wed Jun 01 2016 05:58:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21352,/competitions/can-we-predict-voting-outcomes,2516th
/siliconvalley,Valium_1,Where do 3.7 and 17.6 come from? And 3 and 5.56?,0,None,1,Wed Jun 01 2016 07:38:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21353,None,None
/connectingthedots,What are some links we can we read up on Dimensional Reduction Techniques?,"Dimensional Reduction Techniques is not covered in the course , but seems relevant here (just a hunch)? Where can we read up more about it so as to apply them on the dataset?",1,None,4,Wed Jun 01 2016 07:38:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21354,/competitions/can-we-predict-voting-outcomes,2491st
/rwamit,New to Kaggle,"Hi All , I recently found about Kaggle and looks like I am at the right place to hone my ML skills and what best way to do it than participating in competitions. But , I would like to know what materials I can follow since I am a beginner in ML and have been a part of Coursera ML foundation course. Would like to have a direction ? Regard, rwamit",0,None,1,Wed Jun 01 2016 09:13:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21355,None,None
/dorlingm,To impute or not?,"Hi all, It sounds like most people are imputing this dataset using mice or similar, but I'm wondering, what are opinions on whether or not it is beneficial to impute categorical data (ie the questionnaire responses)? I am thinking it may be beneficial to use imputed demographic data to cluster the respondents into demographics, but I'm really unsure whether it's appropriate to impute the unanswered questions, or just proceed with 'unanswered' as one of the possible factor levels. My concerns with imputation of the questionnaire answers are: Introducing a lot of noise/error as there are a lot of variables to impute. 'unanswered' as a response may itself have some significance So what are peoples thoughts on this? Go ahead and impute the whole training/test sets? or not?",1,None,38,Wed Jun 01 2016 10:15:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21356,/competitions/can-we-predict-voting-outcomes,410th
/srimalj,Naive Bayes ,"Given that there is so much data, has anyone tried to use ""naive bayes"" to predict the probablity of place-ids given x,y,time etc.? Ie P(place = place_x |x=x1, y=y1,t=t1…) = P(place = place_x) * P(x=x1|place=place_x) * P(y=y1 | place = place_x) …. I think the Naive Bayes assumption of the features being independent seems to hold looking at the attached scatter plots below. One is for a random subset of 100 samples and the other is for all samples with accuracy > 50%. The first one shows that features are totally scattered w.r.t each other (except for accuracy, which need not be considered as a feature). The latter has too many points but clearly there is no linear relationship. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122104/4352/feature_scatter_train-subset-1e2-0.csv.gz.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122104/4353/feature_scatter_train-accgt-0.50.csv.gz.png",0,None,2,Wed Jun 01 2016 11:13:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21357,/competitions/facebook-v-predicting-check-ins,994th
/jocicmarko,~0.57 Deep Learning Keras Tutorial,"Hi everyone, I just published a deep learning tutorial using Keras, and it's available on [Link]:https://github.com/jocicmarko/ultrasound-nerve-segmentation. With this code, I got ~0.57 LB score. I hope it will get people started up for this (I must say, very interesting!) competition. Cheers, Marko",82,gold,88,Wed Jun 01 2016 12:54:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21358,/competitions/ultrasound-nerve-segmentation,15th
/wildwizard,Maths applied to ML: getting into it (?) /Becoming more Pro (?),"Hello I would like your advices to solve two problems that are preventing me to get better at ML for now: 1) I am not good at advanced maths 2) I am not very knowledgeable regarding specific ML implementations/applications To develop: 1) I am not good at advanced maths I was good at high school maths, but never had good level courses in university (indeed, in biology, maths lessons are for dummies, which is sad, because if we where not taught this like idiots, it would be enjoyable and useful, not dumb, senseless, useless and unappliable). As a results I know combinatory theory, I am average with probabilities, know things like differential equations, integrals, recurrence reasoning and so on, but none of those really more advanced fancy linear algebra things, vector space, set theory, Lagrangian, Markov chains, Monte carlo and so on, and those seems pretty important from what I read in most books. At first, I indeed feel there's no need to enter ML world and mess with some problems, still, while I don't really want to do a full (fool) curriculum in advanced maths, learning those concepts would be extremely useful. And indeed, to learn them, you have to eat a lot of theory because they depend on so many concepts. 2) I can crush data from tables. I can retrieve it from web in a limited fashion by scrapping, API would be harder. I would have harder time doing text analysis. I know the principle for image analysis, but would feel dumb just doing this pixels-fed-into-NN thing. I would have harder time doing web things or signal analysis, mostly because of interfacing problems as well as signal processing. I am (became) proficient in R and python by a lot of coding and coding courses (codecademy and so on). So I can work my way with Python, Numpy, pandas, matplotlib (I still need some practice for some basics and there is always to discover, but it's on its way), I still have to discover R libraries but can understand and write regular syntax. I am fonder of python, anyway. 3) I really want to improve as data scientist, not just as kaggler (while I enjoy it so much, for now I really have to advance my professional situation and to work I already followed Coursera ML and planned to follow their data science specialization, but honestly, after a lot of exploration, I think this is far from Master/Doctorate's level, and I don't think people hire under that level for our kind of jobs. Plus I don't think I will learn something really new. Nor what I am lacking at. I also entered a ""basics for ML"" course on a french MOOC platform, but nearly exploded from the massive maths dose I received there (felt like you would be asked to solve differential equations without even knowing additions). And really, only one implementation with Perceptron, it felt like it was not well thought (but indeed it is made as a preparative course for Master students so, I am just not the target crowd) I know there are more advanced Andrew Ng courses on Youtube as well as Engineering Everywhere (I don't know if they are the same), but there my maths need to be refreshed (I have no problem playing with matrixes in my head, but when it comes to vector space theory for explaining things for optimization purposes, I am a little lost. I can admit things and make them work, but I don't really understand these and I feel not at ease with this. So I think I need a better approach to maths there). Caltech and MIT courseware are the same. Rich, higher level, but too maths heavy. MOOC in maths didn't really work. I was bored to hell by Khan academy linear algebra (courses are good, I could not just enter into it. And again, I love maths). Maths books like Jim Heffron's doesn't seem friendly either. And too far from applications. I learn better when the topic is linked to something I have to practice. So practicing maths with ML problems would be great. I thought of books as a potential solution, since most of them are a good way to mix practice, theory and implementation. Here's a list I built from reading forums and StackExchange. I have some of these as they are distributed freely, but will have to buy others from which I only have previews. For implementation I have both: -Machine Learning in Action by Peter Harrington (Manning Publication) but it doesn't really go into maths. -Building ML systems in python from Richert and Coelho seems great as it proposes some very specific implementations, but I could start with Machine Learning in action not losing too much. -Machine LEarning for Hackers by Drew Conway and John Myles White (O'Reilly Publications) will also be good for R -(Data Mining: Practical tools and techniques is great for weka and data processing, not for what I am looking) Possible Good catches: -Intro to ML, Smola and Vishwanathan: quite short compared to others, might be a good start since it present basics and enter more complex topics like optimization (in addition to regulars like regression, classification, reduction), it felt readable -Intro to ML by Nilson (Stanford), free draft, short again <200p; seems to propose regular topics with a little advanced maths into it. Might be a good start? -Thoughtful ML (Mathew Kirk): seems to embed more maths, plus common ""setting"" problems and implementation. Might be a good start? -ML a probabilistic perspective: while as full math range as Hastie's ISL/ESL and Machine Learning An Algorithmic Perspective by Marsland, it looks readable for the examples I have seen. Am I wrong? -Intro to ML (again), Ethem Alpaydin, MIT. Just as probabilistic perspective, but only on classic ML topics -Understanding ML, from theory to algorithms: Shai Shalev-Shwartz. Take the advanced concepts as starters, then goes to explain each kind of techniques and algos. then go again into more advanced concepts and summarize linear algebra. Not exactly the same approach than both above, but felt nice. Anyway no implementation. -Machine Learning -An Algorithmic Perspective by Stephen Marsland (CRC Press) I can't tell. Not sure I am skilled enough. Possibly useless or useful later, in more advanced topics: -Intro to Statistical Learning/ Elements of Statistical Learning (Hastie): I read a little the first one in my library, and was a little disappointed, because it was so much praised online. Didn't feel much different than coursera, while I admit it is broader… The second book seems more advanced, even too much (hard time reading formulae=bad news. I never seem to find the good middle ground). -ML; Hands on for developper and technical professionals by Jason Bell: Good for data processing, tools (especially Pro grade ones), no maths -First Encouter with ML (Max Welling), free draft: regular topics but no maths. Nice simplification anyway, but once you did Coursera it is mostly a repeat of what you learnt -Intro to data science (Stanton): basic implementation, not regular examples. Interesting but not geared towards what I am seeking. -ML: the art and science of algorithms that make sense of data (Peter Flach): seems to approach most regular topics in a different way, really defining the underlying problems much like Coursera ML, but doesn't look to get more into maths -ML a probabilistic perspective (Murphy) is like advanced MOOC. Taken up to 42. For Maths PhD, probably. But I hope I will be able to read it some day. It won't teach you, you have to know. Great book from what I saw, but totally out of reach as of now. -Machine learning, A statistical approach: couldn't put an eye in its summary. -Pattern recognition (Bishop): Not sure from the excerpt. Might partially fit the task without going into the edgiest topics) I would like to know what is your experience about those books, and if your practice of machine learning has improved significantly from learning from these? Am I missing a lost gem? I know that practice counts, indeed, but I want to be a little more formal to improve, not just stay average, and also, to become worthy as a potential employee in data analyst/scientist jobs. I am not sure I can rule out both problems at once, so maybe I will go into implementation before theory, but I would feel I mingle in a senseless way, and theory without implementation could feel hard or dull. So i'll kindly take your thoughts, insights, and clarifications about my misconceptions (It is fully possible that you can be a pro without depending on such theory, but not so sure about that) Thanks by advance",3,bronze,4,Wed Jun 01 2016 13:00:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21359,None,None
/meurett,[R] Naive Bayes (e1071 package) - Return not only the more probable hotel_cluster but (for example) the 3 more probable,"Hello Kaggle ! I was wondering if you knew how to return not only the more probable hotel_cluster using naiveBayes in R (from package e1071) . In fact, I would like to make a submission with the 3 more probable hotel_cluster to see if it improves my score. Is there an option to add in my code, or is it impossible in R with the e1071 implementation : "" classifier<-naiveBayes(as.factor(hotel_cluster)~.,data=train) submission$hotel_cluster<-predict(classifier, test) "" Thanks :P",0,None,10,Wed Jun 01 2016 13:09:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21360,/competitions/expedia-hotel-recommendations,433rd
/dhruvarora14,YOB variable,Do we need to remove the number of NA in the YOB variable? If not then how to deal with them?,0,None,7,Wed Jun 01 2016 14:07:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21361,/competitions/can-we-predict-voting-outcomes,1233rd
/dlehman,Evaluation Exception Error,"I keep getting the error message ""Evaluation Exception: Submission must have 884,262 rows"" but my file does have 884,262 rows. I tried submitting it as a .csv and then I zipped it, but I get the same message each time. Any ideas? (I've attached the zipped version) [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122127/4354/Submission1.7z",0,None,1,Wed Jun 01 2016 15:23:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21362,/competitions/sf-crime,1413th
/chrisdeangelis,Final Submission,"I'm unclear as to how the final submission will work. Will we submit our 5 best scripts, or will we receive a New test set to run our 5 best scripts on and then submit 5 new csv formatted predictions? Sorry if this was already explained elsewhere.",0,None,1,Wed Jun 01 2016 16:32:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21363,/competitions/can-we-predict-voting-outcomes,1915th
/yanncouderc,How to remove observations with more than 50% questions not answered ?,"Hi, I am trying to remove all the observations that didn't answer at least half the questions. I tried to but I didn't manage to find the correct code to do it… If someone could help, please ;-) thx",0,None,6,Wed Jun 01 2016 17:54:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21364,/competitions/can-we-predict-voting-outcomes,990th
/tvdwiele,Interactive exploratory analysis using a Shiny app,"Hi all, I have deployed a basic exploratory analysis app on shinyapps.io. The source code is posted as well in case my monthly quota runs out. The app covers about 5% (4783 unique place ids) of the place ids and 8% of the train data since there is a 100MB upload limit on shinyapps.io. The subset was selected by considering all place ids that belong to 5,000 random observations. Consequently, places with more observations are more likely to be contained in the subset. To run this locally you would need to create and convert the data file yourself (trainSubset.rds). I will be happy to consider any suggested improvements. Link: [Link]:https://tvdwiele.shinyapps.io/Facebook-V/ Enjoy :) Tom [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122150/4362/ui.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122150/4363/global.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122150/4364/server.R",24,gold,12,Wed Jun 01 2016 17:56:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21365,/competitions/facebook-v-predicting-check-ins,1st
/nikolayburlutskiy,xgBoost SF Crime,Scored around 2.825 so far.,0,None,2,Wed Jun 01 2016 19:59:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21366,None,None
/sanjeebkumardash,regarding final submission,i am still not clear.do we need to submit the CSV file after running our models or we need to submit our 5 best scripts.Apologies if someone has asked this already.Please help me with clarification.Thanks.,0,None,2,Wed Jun 01 2016 20:51:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21367,/competitions/can-we-predict-voting-outcomes,2266th
/anokas,How far apart are the train/test sets sampled?,"On the data page, it states: To ensure that winning models are robust enough to generalize to new duplicate cases, the train and test datasets are sampled from different time intervals. Hence, you may see different distributions of duplicates in train/test datasets. I was wondering how far apart these sets were sampled - are they days, months or years apart? Or were they sampled at different times during the same time period? Also, I was wondering whether the test set was sampled before or after the training set in time. Hopefully these questions are something an Admin can answer. Thanks, anokas.",1,None,2,Wed Jun 01 2016 23:16:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21369,/competitions/avito-duplicate-ads-detection,2nd
/mylesoneill,Analysis of weekly seasonality,Great visualizations!,0,None,2,Wed Jun 01 2016 23:41:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21370,None,None
/ciambrano,Getting started CART model User_ID error,"Hi all, I'm still working thru Kaggle mechanics. I uploaded the simple log file and now am trying to upload simple CART, but am getting an error for User ID. What's the best way to handle User ID naming? See below for R commands and error message. Thanks for any pointers. threshold = 0.5 CARTPredTestLabels = as.factor(ifelse(CARTPredTest<threshold, ""Democrat"", ""Republican"")) MySubmission1 = data.frame(USER_ID = test$USER_ID, Predictions = CARTPredTestLabels) write.csv(MySubmission1, ""SubmissionSimpleCART.csv"", row.names=FALSE) ERROR: The value '2' in the key column 'USER_ID' has already been defined (Line 1394, Column 1) ERROR: The value '3' in the key column 'USER_ID' has already been defined (Line 1395, Column 1) ERROR: The value '6' in the key column 'USER_ID' has already been defined (Line 1396, Column 1) ERROR: The value '7' in the key column 'USER_ID' has already been defined (Line 1397, Column 1) ERROR: The value '14' in the key column 'USER_ID' has already been defined (Line 1398, Column 1) ERROR: The value '28' in the key column 'USER_ID' has already been defined (Line 1399, Column 1) ERROR: The value '29' in the key column 'USER_ID' has already been defined (Line 1400, Column 1) ERROR: The value '37' in the key column 'USER_ID' has already been defined (Line 1401, Column 1) ERROR: The value '44' in the key column 'USER_ID' has already been defined (Line 1402, Column 1) ERROR: The value '56' in the key column 'USER_ID' has already been defined (Line 1403, Column 1)",0,None,9,Thu Jun 02 2016 02:25:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21372,/competitions/can-we-predict-voting-outcomes,1292nd
/lmadakshira,How to output the results from Random Forest,I am stuck with crating output files for the results from Random forest. How do I label them. Thanks,0,None,3,Thu Jun 02 2016 03:51:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21373,/competitions/can-we-predict-voting-outcomes,814th
/jstaker7,Sliding window vs whole image?,"One thing I've been wondering for a while now is whether to stick with the traditional sliding window approach or try something more end-to-end, i.e., train on the whole image at once. One hesitation I have regarding the end-to-end approach is that masks in the training set are almost exclusively in the same general area. If a nerve happens to be in a location not well represented in the training set, the end-to-end approach will suffer. With the sliding window approach it will probably capture that invariance more easily without needing rigorous data augmentation. In the ""real world"" I would imagine that the nerve is not usually isolated to one general area, and what we are seeing is just an artifact of how this particular dataset was prepared. Any thoughts on using a sliding-window vs training on the whole image at once?",2,bronze,3,Thu Jun 02 2016 05:04:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21374,/competitions/ultrasound-nerve-segmentation,99th
/jasmith0820,Updates to the data?,Hello! Are there plans to update the primary results anytime soon? I am building out some visualizations and am wondering if I should start attempting to fill in the new results manually. Thanks!,2,None,4,Thu Jun 02 2016 05:31:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21375,None,None
/royalmudit,Help Please! Dummy Variables,"Dear All, I ran RF, GLM, GBM model after imputing and converting variables into numeric form. Now I am stuck and not able to improve accuracy of my model further. Now I want to give it try with dummy variables. With my limited knowledge , I did not figure out how to do this. Want to know how to make dummy variables automatically of 'Questions response', which I coded into (Yes=1, No=-1, Blank=0). And how manually make dummies of specific variables like 'Gender' or 'Income Categories'. Appreciates if any one help me in this regards!",0,None,9,Thu Jun 02 2016 08:08:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21376,/competitions/can-we-predict-voting-outcomes,1872nd
/ajayl1,No match between Variable names in model & question ID ,"I have today started creating models. I saw that variable names in Train like Q124742. If theses are numbers of questions, they do not match with questions in show of hands file? Any idea what these variables represent?",0,None,2,Thu Jun 02 2016 09:11:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21377,/competitions/can-we-predict-voting-outcomes,2816th
/scipioaemilianus,Accuracy in relation to mean location,I still try to figure out how to incorporate the accuracy column and did some plotting. I calculated the average coordinate of every locationId in the train dataset and afterwards calculated the mean distance for every accuracy to the average locationId coordinate. I droped the accuracies with less than 10 occurances. [Image]:http://i.imgur.com/KO3ZqNy.png x-Axis: accuracy y-Axis: mean distance to location center This seems contrary to the popular opinion that the higher the accuracy the higher the confidence of the coordinate or do I miss something here?,4,bronze,2,Thu Jun 02 2016 10:44:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21380,/competitions/facebook-v-predicting-check-ins,None
/abhis15,Areas of improvement in the Model?,"Hi All, I have tried various approaches to solve the problem at hand using Logistic regression,CART,Random Forests. As far the data is concerned i have done the imputation on both the demographic variables and the Questions,used the training set to make predictions. I have ran the Logistic Regression using significant Variables. But even then the accuracy is coming to an paltry 55%. I know that i am obviously going wrong somewhere but cannot identify where the issue seems to be.I am pretty new to R and at a loss to explain what is the source of problem? Can somebody please suggest which can be the areas of improvement ?",0,None,4,Thu Jun 02 2016 13:05:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21381,/competitions/can-we-predict-voting-outcomes,2850th
/ajayl1,Submission problem for RF output,"I tried following with basic RF model. PredTestLabels = as.factor(ifelse(predictRF>0.5, ""Democrat"", ""Republican"")) I get error. Pl guide. I guess I could not know from class how to calculate probabilities similar to CART???",0,None,2,Thu Jun 02 2016 13:33:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21382,/competitions/can-we-predict-voting-outcomes,2816th
/agrigorev,Important questions ,"I found that the following questions are useful: (Q98059) Do/did you have any siblings? (Q98197) Do you pray or meditate on a regular basis? (Q99480) Did your parents spank you as a form of discipline/punishment? (Q106272) Do you own any power tools? (power saws, drills, etc.) (Q107869) Do you feel like you're ""normal""? (Q108343) Do you feel like you have too much personal financial debt? (Q108617) Do you live in a single-parent household? (Q108754) Do both of your parents have college degrees? (Q109244) Are you a feminist? (Q109367) Have you ever been poor (however you personally defined it at the time)? (Q112270) Are you better looking than your best friend? (Q113181) Do you meditate or pray on a regular basis? (Q114386) Are you more likely to over-share or under-share? (Q115195) Do you live within 20 miles of a major metropolitan area? (Q115602) Were you an obedient child? (Q115611) Do you personally own a gun? (Q116441) Do you have a car payment? (Q116881) Would you rather be happy or right? (Q116953) Do you like rules? (Q120650) Were your parents married when you were born? (Q122771) Do/did you get most of your K-12 education in public school, or private school? (Q123621) Are you currently employed in a full-time job? (Q124122) Did your parents fight in front of you? if I keep only these questions + use demography features, I could get to 0.64224 (231th position now) using SVM. Did you find any other questions useful? Or maybe there's something I should exclude from the list?",3,bronze,47,Thu Jun 02 2016 18:22:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21390,/competitions/can-we-predict-voting-outcomes,50th
/sid027,Use of data outside competition,"Hi, I wanted to know from the competition admin about the rules regarding their data use outside the competition. Can the data be used in academic setting like a term paper or publishing papers, privately for self-learning or commercially in a company? Regards, Sid",0,None,4,Thu Jun 02 2016 19:08:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21392,/competitions/painter-by-numbers,None
/doctorh,Help me figure out what I'm doing wrong,"Hi all, this is my first attempt at a Kaggle competition, and you can tell I'm wet behind the ears. I've attached my attempt. While I have not tried anything too fancy, the cross validation scores I'm getting are incredibly bad (around 20-23%, depending on what features I choose to use, and whether or not I use a PCA); much worse than what I would think that a naive attempt would achieve. My suspicion is that I'm doing something fundamentally wrong. Would you mind terribly to take a look at my (short and simple) code and tell me what I'm doing wrong? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122295/4368/Crime_Script.ipynb",0,None,1,Thu Jun 02 2016 22:40:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21395,/competitions/sf-crime,881st
/darraghdog,Parsing JSON,"I tried out parsing the russian text from the JSON in R… without luck. Tried packages jsonlite and RJSONIO. Anyone get that working, or is python required ?",2,bronze,15,Fri Jun 03 2016 00:07:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21397,/competitions/avito-duplicate-ads-detection,39th
/isadoraamaral,Submission error (even with class example),"Hi everyone, When I try to submit anything, including the given example, I get the following message: ERROR: Column 'PREDICTION' was not expected (Line 1, Column 11) ERROR: Required column 'Predictions' could not be found. Could anybody please tell me what's wrong? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122307/4369/sampleSubmission2016.csv",0,None,7,Fri Jun 03 2016 01:11:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21398,/competitions/can-we-predict-voting-outcomes,1667th
/zakerzadeh,Can I use spark ?,I wonder to know whether it is OK to use Spark (Scala api) for this competition?,0,None,1,Fri Jun 03 2016 03:05:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21399,/competitions/avito-duplicate-ads-detection,None
/ramirezamayas,Newbie question - MAP@3 of partial submission,"Is there a way to get feedback on a partial submission of data? I'm rather new to Kaggle and was thinking that it would be very convenient to get MAP@3 for a partial submission of say, half a million rows instead of the full 8 million + rows of the test csv. Thanks in advance!",0,None,1,Fri Jun 03 2016 06:52:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21402,/competitions/facebook-v-predicting-check-ins,809th
/tammarat,How to apply ML algorithm to image???,"I studied some ML algorithm such as gradient decent, SVM, decision tree. I started with this course: [Link]:https://classroom.udacity.com/courses/ud120/lessons/2410328539/concepts/24185385370923 This course teaches basic machine learning and have dataset for practice(identifying fraud from Enron Email). which is good. but When I see project on Kaggle about image classification, I'm really blind. How to apply what I learn to start analysing image? how to get start with image dataset? Do I have to take course on computer vision? please provide me very detail explanation. I'm newbie. My knowledge is Derivative calculus, integral calculus, series and sequences, and some linear algebra. Is that enough?",0,None,4,Fri Jun 03 2016 18:05:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21406,None,None
/tammarat,How to apply ML algorithm to image???,"I studied some ML algorithm such as gradient decent, SVM, decision tree. I started with this course: [Link]:https://classroom.udacity.com/courses/ud120/lessons/2410328539/concepts/24185385370923 This course teaches basic machine learning and have dataset for practice(identifying fraud from Enron Email). which is good. but When I see project on Kaggle about image classification, I'm really blind. How to apply what I learn to start analysing image? how to get start with image dataset? Do I have to take course on computer vision or image processing? please provide me very detail explanation. I'm newbie. My knowledge is Derivative calculus, integral calculus, series and sequences, and some linear algebra. Is that enough?",0,None,1,Fri Jun 03 2016 18:16:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21407,None,None
/canivel,0.60443 !!! Really .... kkkk,"For two months the leaderboard was like stationary, now the big guys are coming and boom 1 submission from idle_speculation and destroyed it… can you at least share something … like are u using ML method? Congrats man anyway kkkk…",2,bronze,24,Fri Jun 03 2016 20:11:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21408,/competitions/expedia-hotel-recommendations,313th
/hilal007,Spliting 70/30  gives more Observations ,"Hi everyone, I merged both train and test , removed some , outliers using boxplot on YOB , imputed with mice. then I split into 70/30 ratio, the test set gives more observations than 1392 . built many models CART , Random Forest As there are more than 1392 observations in every model come out , whenever I go to submit that model I received error message , How to obtain only 1392 observations in test set so , sample model can be built . any idea ? I also tried to many other split ratios like 0.75 , 0.74 etc. but I did not receive the actual number of observations in test set 1392 , as a result I am unable to submit any model , May be I am doing something wrong . Any idea ?",0,None,2,Fri Jun 03 2016 22:03:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21411,/competitions/can-we-predict-voting-outcomes,1019th
/aayush26,Integer guessatron (0.06942),Can you please explain a bit of the process for Sequence Prediction using Machine Learning. I know only classification and regression problems. This is new to me. Thanks in advance.,0,None,1,Fri Jun 03 2016 22:11:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21412,None,None
/blindape,Team up,I've worked only in ML solution (with xgboost) of the non leakage part of the problem. Training with 2013 (date_time) year and hold 2014 (only the non leakage data relative to 2013) my CV score is 0.31 better than benchmark solutions (in 0.299 range). Interested in team up with complementary approach.,0,None,11,Fri Jun 03 2016 23:45:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21413,/competitions/expedia-hotel-recommendations,10th
/orion1,Exploratory Analysis in R,Thanks.,0,None,2,Sat Jun 04 2016 05:20:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21418,None,None
/muratcancicek,Machine Learning Final project (needs advice) ,"Hi, I am Muratcan Cicek from Oregon. I am quite beginner in the Machine Learning. I don't know why but I have chosen this problem for my final project. Now I have to do some experiments and report the results. I have actually submitted the leakage solution with 0.49 accuracy and I understood its logic, how it works. But I actually don't care the competition and my instructors wants me use some ML Algorithms and explain why they work or don't work. I can also do downsampling on data, currently i tried to reduce the frequencies of each cluster to same value and I have 2 millions rows now in total. but I don't know it's a scientific way. So, I need find a correct way to downsampling and a couple preferable ML methods for this problem. I linear regression but it gives 0.0087 and I got memory error with random forests. By the way, I have [Link]:https://papers.nips.cc/paper/5367-online-and-stochastic-gradient-methods-for-non-decomposable-loss-functions.pdf suggested. But I couldn't implement it. Maybe it works for you. Thank you, Muratcan",0,None,5,Sat Jun 04 2016 07:07:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21419,/competitions/expedia-hotel-recommendations,908th
/connectingthedots,What is the difference in feature engineering and factor analysis?,Both feature engineering and factor analysis seem to deal with reducing columnar dimensionality? Are there any difference in the two or are they two similar terms for the same exercise?,0,None,5,Sat Jun 04 2016 08:57:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21420,/competitions/can-we-predict-voting-outcomes,2491st
/doctorh,Naive Bayes vs Multilinear Logistic Regression,"If we are given features that we know are independent, is there a general rule for which would be better -- Naive Bayes or Multilinear Logistic Regression? What would determine that? Which would be better for what kinds of problems and why?",0,None,1,Sat Jun 04 2016 09:09:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21421,None,None
/aviel2499,Forming a team,"Hi, We are a team of two scientists, with a mixed approach of leakage and clustered ml. We like to merge into a team. [Link]:mailto:aviel2499@walla.co.il",0,None,4,Sat Jun 04 2016 10:39:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21422,/competitions/expedia-hotel-recommendations,None
/prats4,Which classification model is best for forest cover type problem and Why?,,0,None,2,Sat Jun 04 2016 11:16:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21423,/competitions/forest-cover-type-prediction,None
/friesewoudloper,Warning message - contrasts dropped from factor,"Hi, Could somebody please explain to me what this warning message means? I get it when I make predictions for my test dataset. I googled, but still don't understand what I did wrong or wether it's okay to ignore the warning. Warning messages: 1: contrasts dropped from factor HouseholdStatus copy Willy",0,None,1,Sat Jun 04 2016 16:45:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21424,/competitions/can-we-predict-voting-outcomes,1358th
/radustoicescu,Submission error,"I get this error: Column 'place_id ' was not expected (Line 1, Column 8) Required column 'place_id' could not be found copy The first lines of my submission are: row_id,place_id 0,3831655216 4393146716 6131996960 1,2465239230 5801740503 6089233511 2,2516481553 2653128693 7862615088 copy Anyone knows what this is about?",0,None,1,Sat Jun 04 2016 16:56:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21425,/competitions/facebook-v-predicting-check-ins,54th
/laurae2,Ultra fast SQL: has searched <-> books,"The script refuses to run for some memory reason, but you may be able to get away under 8GB using Version 1 (and way below with RAM tweaks). You get a short peak after you run the command (if you have only 8GB, you will swap and it might get slower for about 30 seconds), but you can gc() immediately after to clean up the cache (it does not affect performance to remove the cache). Example of RAM usage after smashing hard the memory with 4 calls + all Expedia sets open + some extra data frames (5.4GB + 1.5GB): used (Mb) gc trigger (Mb) max used (Mb) Ncells 28560693 1525.4 43523207 2324.4 39012608 2083.5 Vcells 705178377 5380.1 1928328869 14712.0 1893387387 14445.4 copy Explanation of the critical line (markdown not working..?): First, we take the data (FROM) Second, we GROUP BY user_id and we filter against is_booking (your GROUP BY must be the first arguments (you can have as many as you want), your COUNT must be the last binary argument) Third, we create a column which summarize by our filter of GROUP BY ignoring the filter (the output sum is the quantity of user_id, NOT THE QUANTITY OF {user_id, is_booking}) Fourth, we WHERE is_booking == 1 (captain obvious) Fifth, we SELECT by creating a calculated field n/sum_list user_id => 2nd step (GROUP BY) is_booking => 2rd step (GROUP BY / Filter) & 4th step (WHERE) n => 2nd step (COUNT with Filter) sum_list => 3rd step (COUNT without Filter) booking_ratio => 5th step (SELECT) You should get this: user_id is_booking n sum_list booking_ratio Min. : 5 Min. :1 Min. : 1.000 Min. : 3.00 Min. :0.002445 1st Qu.: 300389 1st Qu.:1 1st Qu.: 1.000 1st Qu.: 10.00 1st Qu.:0.060000 Median : 601593 Median :1 Median : 2.000 Median : 21.00 Median :0.114583 Mean : 601567 Mean :1 Mean : 3.686 Mean : 39.81 Mean :0.141876 3rd Qu.: 902721 3rd Qu.:1 3rd Qu.: 4.000 3rd Qu.: 48.00 3rd Qu.:0.200000 Max. :1198784 Max. :1 Max. :100.000 Max. :530.00 Max. :0.868421 copy",0,None,2,Sat Jun 04 2016 17:26:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21427,None,None
/beedata,Question about printing validation performance ,[30] eval-MAP@5:0.273960 train-MAP@5:0.288924 [31] eval-MAP@5:0.276115 train-MAP@5:0.291002 [32] eval-MAP@5:0.278767 train-MAP@5:0.294094 [33] eval-MAP@5:0.280590 train-MAP@5:0.296954 [34] eval-MAP@5:0.281628 train-MAP@5:0.297273 [35] eval-MAP@5:0.284637 train-MAP@5:0.301252 [36] eval-MAP@5:0.286232 train-MAP@5:0.302846 [37] eval-MAP@5:0.287402 train-MAP@5:0.303931 I went to sleep leaving my code running last night. But this morning I could just see 37 rows of validation information printed in my Jupyter but the terminal and kernel is still running. How could I solve this problem? Thank you.,0,None,5,Sat Jun 04 2016 17:48:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21428,/competitions/expedia-hotel-recommendations,151st
/marcosalves,Barras de progresso na execução do algoritmo,"Boa tarde. David mostrou em sala o pbapply que adiciona uma barra de progresso durante a execução do algoritmo (p de progress, creio). Alguem conseguiu fazer rodar algum algoritmo com o ""p"" antes da função? Estou na situação: ora fala que pbapply não existe, ora instala e dá Error in match.fun(FUN) : argument ""FUN"" is missing, with no default (ps: odeio este erro), ora simplesmente não roda nem pbapply, pblapply, lapply, apply … Tem algoritmos que eu coloquei pra rodar e ficou mais de 40h rodando e não voltava. Dai ja não sabia se ainda tava processando e quando tempo iria gastar. Optei por abortar. A tempo, [Link]:https://www.kaggle.com/David, vc podia explicar um pouco melhor como usar as bibliotecas::funções, não é possível que com 8GB de RAM eu preciso gastar mais de uma noite pra processar algo. Obrigado. Marcos R newbie",0,None,3,Sat Jun 04 2016 20:55:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21430,/competitions/eee901-2016-01-tp-final,9th
/seanmlv,Help please on uploading my file,"Hello All, I am no IT guru or anything close and i am having great difficulty i.e. cannot upload my first submission. I am a retired Image Analyst so this exercise is extremely interesting and challenging especially with no software bar a monitor and a half brain. I have tried every way i can think to resolve the error the message i receive, see below: ERROR: Column '1,' was not expected (Line 1, Column 1) ERROR: Required column 'setId' could not be found ERROR: Required column 'day' could not be found. What should i put for my ID?? My submission created in Excel, then saved as a csv file. Eg of what i have tried to upload, all in one column setId,sat 1, 2,1 2 4 3 5 3, 6, Can someone please in layman terms show me exactly what i should put in the first line of the csv file so i can upload it. i.e. spaces, all data in one column… Thank you so much in advance.",0,None,5,Sat Jun 04 2016 20:57:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21431,/competitions/draper-satellite-image-chronology,64th
/brandao,what will happen at the final?,Will the deadline be restarted? Or will it be a closed competition? I am asking because some competitions never ends… Thanks.,0,None,1,Sat Jun 04 2016 21:44:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21432,/competitions/kobe-bryant-shot-selection,1st
/howardxie,Question regarding xgboost's ETA and num_rounds,"Hi all: I'm new to xgboost and trying to learn. Seems like ETA is a multiplier applied to outputs of each boosters, and num_rounds is the number of boosters we want for the entire model. Hence my feeling is that, for a large ETA value, we want to use a smaller num_rounds value, and vice versa. Question is, what would be the optimal ratio of these two? Say I'm using ETA = 0.1, hence I'm taking one tenth the magnitude of the value generated from each booster; then for num_rounds, should I use a value that is greater or equal to ten? Or are there more factors that I should take into consideration as well? Any help is much appreciated!",0,None,3,Sat Jun 04 2016 21:52:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21433,/competitions/facebook-v-predicting-check-ins,None
/tomd2016,Visualization of Kaggle Competition ,"Congratulation to the leaders in the quest. I thought it would be interesting to plot some of the scores. If you are interested in taking a look the code is below. If you improve it please post it. # Visualization of Kaggle scores retreve data from Kaggle at bootom of leaderboard page is a download button - it comes down as a zip file # ## need to remove multiple entries per team keeping max score Read data LB <- read.csv(""edx/kaggle/can-we-predict-voting-outcomes_public_leaderboard.csv"") summary(LB) #check if you want Sort data on team on team & score decending LB <- LB[order(LB$TeamId, LB$Score,decreasing = TRUE),] remove duplicate team entries - keeping high library(plyr) LB<- ddply(LB, ""TeamId"", function(df) return(df[df$Score==max(df$Score),])) ###sort by high score LB <- LB[order(LB$Score),] Get rid of scores <= .40 LB <- subset(LB, subset=(LB$Score > 0.40)) Plot data of leaders library(ggplot2) topScores <- 0.666666 topEntries <- subset(LB, subset=(LB$Score > topScores)) ggplot(topEntries, aes(x= Score, y=reorder(TeamName, Score))) + geom_point(size=3) + theme_bw() + theme(panel.grid.major.x = element_blank(), panel.grid.minor.x = element_blank(), panel.grid.major.y = element_line(color=""gray60"", linetype=""dashed"")) ### Plot all data excluding scores < 0.40 and only max scores per team ggplot(LB, aes(x=Score)) + geom_bar()",2,bronze,1,Sat Jun 04 2016 22:13:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21434,/competitions/can-we-predict-voting-outcomes,2160th
/beedata,Because of the leakage? ,"[18] eval-MAP@5:0.378607 train-MAP@5:0.402878 [19] eval-MAP@5:0.385755 train-MAP@5:0.410490 [20] eval-MAP@5:0.390674 train-MAP@5:0.415597 [21] eval-MAP@5:0.394828 train-MAP@5:0.420295 [22] eval-MAP@5:0.400880 train-MAP@5:0.426712 [23] eval-MAP@5:0.406655 train-MAP@5:0.432926 [24] eval-MAP@5:0.411265 train-MAP@5:0.437881 I use the xgboost to train the whole dataset with the evaluation metric (@CPMP, [Link]:https://www.kaggle.com/dune_dweller posts on [Link]:https://www.kaggle.com/c/expedia-hotel-recommendations/forums/t/20556/map5-function-or-eval-metric ). The first 66% data as training and the rest 34% as validation set. The validation score seems pretty high. Is it caused by information leak or there's something wrong with my code?",0,None,3,Sat Jun 04 2016 23:21:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21436,/competitions/expedia-hotel-recommendations,151st
/lajonutyte,"Could you specify the ""Income"" variable ?","Hello, could you please specify the Income variable in a dataset: what's the currency and periodicity ?",1,bronze,1,Sun Jun 05 2016 14:08:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21441,None,None
/god007,Expert model can't separate between democrats and republicans,"I generated a new training set from a subset of the original data (in total I used 11 variables) in order to create an expert model to predict whether someone is a democrat or republican. The new training set is completely balanced. It consists of 2951 observations from people who actually voted for the democratic party and 2951 artificially created voters who typically vote for the other party. The term ""typical"" describes the most likely value for a republican voter for each variable, in this context. I used a random forest model from the r-h2o package and the algorithm predicts a AUC value on the validation set, consisting of democrats and republicans from the original data set who aren't in the new training set, of exactly 0.5. Meaning, the model can't separate between democrats and republicans. What is going on here?",0,None,6,Sun Jun 05 2016 14:19:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21442,/competitions/can-we-predict-voting-outcomes,1330th
/vitalih,Training a classifier with custom cost function in Python,"Hello, I am working on a classification problem with 3 different classes and looking for a way to train my classifier with a custom cost matrix. if observation has class 1 and model predicts class 1, penalty is 0 (correct classification) if observation has class 1 and model predicts class 2, penalty is 1 if point has class 1 and model predicts class 3, penalty is 2 if point has class 2 and model predicts class 2, penalty is 0 (correct classification) if point has class 2 and model predicts class 3, penalty is 1 if point has class 2 and model predicts class 1, penalty is 1 if point has class 3 and model predicts class 3, penalty is 0 (correct classification) if point has class 3 and model predicts class 2, penalty is 1 if point has class 3 and model predicts class 1, penalty is 2 So the cost matrix would look as follows: Class 1 Class 2 Class 3 Class 1 0 1 2 Class 2 1 0 1 Class 3 2 1 0 copy Is there a way of passing a custom cost matrix in sklearn/xgboost/libsvm? How about other ML libraries for python? I believe that this is really relevant for my problem and I wasn't able to get anything from google. I would appreciate any answer.",2,None,2,Sun Jun 05 2016 16:48:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21443,None,None
/zotsing,why do some user_location_city ids   belong to multiple country and regions?,"For a quite long while, I just assumed that each city id was only corresponding with one country and region id. However, I was apparently wrong. Does anyone know how the city id was assigned? Thanks as shown by the sql: select count(distinct user_location_country) as cnty,count(distinct user_location_region) as reg,user_location_city from train group by user_location_city order by cnty desc,reg desc limit 10; +------+-----+--------------------+ | cnty | reg | user_location_city | +------+-----+--------------------+ | 97 | 48 | 26750 | | 7 | 8 | 39443 | | 6 | 23 | 55763 | | 6 | 16 | 24848 | | 6 | 12 | 19334 | | 6 | 11 | 16992 | | 6 | 10 | 41447 | | 6 | 8 | 20307 | | 6 | 8 | 16637 | | 6 | 7 | 36062 | +------+-----+--------------------+",0,None,3,Sun Jun 05 2016 19:04:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21445,/competitions/expedia-hotel-recommendations,648th
/antsek,Neural Netwok - Keras,"Hi all, is someone trying to use Keras or another NeuralNetwork framework for this challenge? I just tried it and got 0.356… 20*20 Grids and as Features: x,y,accuracy, hour, weekday, month, year It was a second try (first try was just x and y as features and 50*50 grids). At all, I would keep working on that - but it costs so much time to compute (20-40hours). So my question, is someone else is trying something similar here? :) Or is it in general better to use some RandomForest?",0,None,15,Sun Jun 05 2016 22:00:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21447,/competitions/facebook-v-predicting-check-ins,464th
/mnsteinbe,Missing late-night train data,"Has anyone else noticed that OTP data is missing for trains operating just after midnight? Two examples I found quickly: Train 867 OTP data always cuts off just before midnight, even though the schedule suggests that the train should continue to run to Chestnut Hill West at 12:23 AM On Saturday night/early Sunday morning), train 5368 is scheduled to depart 30th Street at 12:02 AM and arrive in West Trenton at 1:12 AM. None of these trips are recorded in the OTP file, but the weekday afternoon trips under the same train number are. The published schedules consider trains in service until ~2 AM to be part of the previous day, but anything between midnight and ~5 AM (when the morning trains start to run) appears to be excluded from this data set. -Mitch",1,bronze,2,Sun Jun 05 2016 22:11:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21448,None,None
/doctorh,What is the proper way to use a PCA?,"Let's say I have a classification problem. First, I will do some feature engineering, possibly using one hot encoding. This may mean that I end up with, say, 500 features. Presumably, the correct thing to do at this point is a PCA. But how? Okay, here are some explicit questions: Should the PCA be used merely for feature selection? In other words, should I look at the pearson correlation of the features with the first few PCA vectors, and let that guide which features to choose? Or perhaps it is better to forget the old features altogether, and train my algorithm on the PCA vectors? When applying the algorithm that finds the PCA vectors, should I feed into it only the 500 features, or is it better to also feed into the category column (one hot encoded) as well? Obviously the test data doesn't have a category column, but one can do the following: use the PCA vectors trained on the 500 features + the category column (one hot encoded), and then project the test data to the linear subspace spanned by the projection tof those vectors to the first 500 coordinates. Presumably that might be better, because then those vectors might detect patterns regarding what correlates with various categories, no? Do people do that sort of thing? Why is it a bad idea, if they don't?",6,None,7,Sun Jun 05 2016 22:28:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21449,None,None
/segovia,Where is the line between cheating and not cheating?,"I read an old topic [Link]:https://www.kaggle.com/c/digit-recognizer/forums/t/7059/results-with-1-000-score and it seems most ppl believed that using the full MNIST data set is cheating. I totally agree with it, because we are supposed to only use the information provide here on Kaggle.com. Recently I realized that if I nudge each of the 42000 images a little bit, I can make the training data set many times larger and improve my network's accuracy quite a bit. I don't think it is cheating, do you?",1,None,8,Mon Jun 06 2016 00:53:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21450,/competitions/digit-recognizer,None
/tarakmehta,Warnings on prediction - contrasts dropped from factor Q,Has anyone seen these warnings on predictions using your model? Any idea what they mean?,0,None,2,Mon Jun 06 2016 02:50:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21451,/competitions/can-we-predict-voting-outcomes,2415th
/mikebak,how to remove square brackets in submission,"Hi, I am trying to submit a text file. However, my submission looks like: 0, [91 48 41 64 42] 1, [91 41 48 83 90] I don't want the square brackets, but I think they are there because my numpy matrix looks like below. How do I remove these brackets from my numpy matrix so I can make a submission file without brackets? array([['0', '[91 48 41 64 42]'], ['1', '[91 48 41 64 42]'], ['2', '[91 41 48 83 90]'], …, ['2528240', '[91 48 41 5 64]'], ['2528241', '[91 48 41 5 64]'], ['2528242', '[91 48 41 64 42]']], dtype='|S21') Any help would be appreciated. Thank you, Mike",0,None,5,Mon Jun 06 2016 03:06:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21452,/competitions/expedia-hotel-recommendations,1768th
/mikevdickson,Data Leakage,"Hi all, I'm a beginner with ML and python, but I had a question about leakage in this challenge. Time leakage, in this case, seems like it is pervasive. If I were to create a random forest on features like game_id, and period, wouldn't I technically be leaking data about that particular period for predictions made in that period? Furthermore, I could also leak data from a season, or aggregates from a particular shot zone (etc, etc, etc). So, I guess what I am asking is: Am I thinking about leakage correctly, and if so, How could you program a random forest to ignore such future events?",0,None,3,Mon Jun 06 2016 03:58:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21453,/competitions/kobe-bryant-shot-selection,None
/smcinerney,"R syntax for three-way join on itemPairsTrain.itemID_{1,2} == itemInfoTrain.itemID ?","Sorry to ask an R syntax question here, but what's a simple (and performant) way to do a three-way merge/join/reshape between all these (and drop the other columns): itemPairsTrain.itemID_1, itemInfoTrain.itemID to join itemInfoTrain.categoryID as categoryID_1 itemPairsTrain.itemID_2, itemInfoTrain.itemID to join itemInfoTrain.categoryID as categoryID_2 (I did check SO and the dplyr and reshape doc)",0,None,2,Mon Jun 06 2016 05:08:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21455,/competitions/avito-duplicate-ads-detection,503rd
/rmhyman,Inequality in STEM,"I liked that you perform this analysis. It was fun to read. Two points I noticed: The ""Asian"" race is not included in your Odds Ratios to Getting a STEM job with a Stem degree"". It would be interesting to see what the data says about that. In conclusion 2, you stated ""Women with TEM degrees are still far less likely than their male counterpart to find careers in STEM"". Are they less likely to find them or less likely to obtain one would be the question I pose to you. I believe that it is obtaining a career which is the problem in STEM today. Cool stuff though!! I'm always interested in analysis like this",0,None,1,Mon Jun 06 2016 06:13:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21456,None,None
/gaborfodor,Last week,Am I the only one? [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/122665/4380/xkcd.PNG?sv=2012-02-12&se=2016-06-09T09%3A18%3A32Z&sr=b&sp=r&sig=A%2FJRCXV4e2E9FfCb9%2BhQshDgqKQxhyx%2BSHFBB7VuMz0%3D [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/122665/4380/xkcd.PNG,23,gold,7,Mon Jun 06 2016 11:16:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21458,/competitions/expedia-hotel-recommendations,2nd
/atinesh922, Need help for choosing domain for Thesis work in Machine Learning,"Hello friends, I'm a master student I want to select the domain for my thesis work. As Machine learning is so vast I'm very confused about what to select for my thesis work. I've recently completed Coursera's Machine learning by Andrew Sir, It gave me a broad idea about how ML Algo's are applied in practice. I've also read lots of papers, But I'm still confused. I'm not planning for Ph.D., I intend to join industry after my master so I'm looking for application specific work rather than theoretical work. Here is the list of topics that I found interesting, But before that, I want a suggestion from the researcher who are experts in machine learning. MapReduce Dimensionality Reduction Recommendation Clustering Algorithm Selection Problem",0,None,2,Mon Jun 06 2016 12:22:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21459,None,None
/animeshv,How to get started with Multi-touch Attribution Modelling??,"Hey, I have currently started working on Multi-touch attribution models which seems to be the hottest topic for digital marketers and analysts. Does Kaggle have existing dataset or any business problem related to the field which can help us explore?",6,None,4,Mon Jun 06 2016 15:40:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21462,None,None
/knitcode,benchmarks without the leak? ,"Hi all… I was wondering if anyone had any benchmark scores that didn't take advantage of the leaks? I understand from a competition perspective this is silly, but I am trying to get a sense of how much the leak contributes to the overall mapk score on the leaderboard… or, more importantly, what's reasonable to expect without exploiting the leak. thanks.",0,None,6,Mon Jun 06 2016 15:43:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21463,/competitions/expedia-hotel-recommendations,1766th
/fahimshariff,What year is this Data from? 2013 or 2016 or other,"I have read one post in the forums that suggests this data was collected in 2013 but the name of the files train2016 and test2016 suggests 2016. Has this been clearly communicated, if so can someone link me to where this is noted. I have not been able to find this, could be i missed something. This would be important to work out YOB outliers.",0,None,2,Mon Jun 06 2016 15:51:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21464,/competitions/can-we-predict-voting-outcomes,190th
/bekterra,Hpw do you guys measuring performance of the models without response variable on test set? Do we need create ? ,,0,None,3,Mon Jun 06 2016 15:56:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21465,/competitions/can-we-predict-voting-outcomes,264th
/jialunhe,Final ensemble method,"Final week is ensemble week! What is your favorite ensemble method? For example, what is your way to ensemble a and b a. 1 2 3 4 5 b. 5 4 3 2 1 I have tried weighted method and highest rank method. Both method produce 1 5 2 4 3 in the above example.",0,None,3,Mon Jun 06 2016 18:54:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21466,/competitions/expedia-hotel-recommendations,759th
/overfit,python starter ~0.55,Veriosn 8 runs through all training data with about 2.5 hours and less less than 7 gb memory needed.,0,None,2,Mon Jun 06 2016 21:10:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21470,None,None
/rohitgopidi,Text Classification using Scikit TFIDF Python,"All, I need help with the below . Here is what i need, i have a set of data as below where each sentence is categorized with predefined category and i need to train the system in such a way that when a new sentence is given to the system, that sentence has to be categorized into single or multiple predefined categories from the training data. how can i associate my tfidf matrix with a category ? for example i have the below data set **ID** **Text** **Category** 1 jake loves me more than john loves me Romance 2 july likes me more than robert loves me Friendship 3 He likes videogames more than baseball Interest copy once i calculate tfidf for each and every sentence by taking 'Text' column as my input, how would i be able to train the system to categorize that row of the matrix to be associated with my category above so that i would be able to reuse for my test data ? for example, in the above data set for ID =1, my tfidf calculation is [ 0. 0.19756864 0. 0. 0. 0. 0.18929948 0. 0. 0.18929948 0. 0. 0.09878432 0. 0. 0. 0. 0. 0. 0.37859896 0. 0. 0. 0. 0. 0. 0. 0.56789844 0. 0. 0. 0.18929948 0. 0. 0. 0. 0. 0.18929948 0. 0. 0.18929948 0. 0.] but how would the system know that this belongs to category 'Romance' ? using the above train dataset , when i pass a new sentence 'julie is a lovely person', i would like that sentence to be categorized into single or multiple pre-defined categories as above. This is my first post and let me know if you need me to post my code - Thanks",1,None,4,Mon Jun 06 2016 21:48:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21472,None,None
/rajankur,Converting Logistics Regression Results into Factors,"This is a very basic question but I have not been able to find an answer to it even after doing extensive search. I have created a logistics regression model and predicted results using predict(modelLR,newdata=TestData,type=""response""). My output is probabilities and now I want to convert them into factors e.g. if Prob>0.5 Republican else Democrat. Does anybody know how to convert the predicted probabilities into factors. I can use an if else statement but I think there is a better way to accomplish this. Any guidance will be much appreciated.",0,None,3,Mon Jun 06 2016 23:03:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21473,/competitions/can-we-predict-voting-outcomes,2003rd
/sergiodenboer,Is this difficult?,I tried everything I could remember off in order to get better than .63 but couldn't. I suspect that i do not have the skill set to get things done. I tried what was in the lectures but I was not successful. I believe that is the general felling. What can be done to improve accuracy? Best regards!,1,None,7,Mon Jun 06 2016 23:30:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21474,/competitions/can-we-predict-voting-outcomes,1258th
/scsherm,Average drivers,"ZFTurbo are you using these images for training? I can imagine this would reduce training time significantly, but I would wonder if it would learn much at all. Also I was curious, did you ever get the pre-trained net to work? How might you have setup the fully connected portion? I setup as follows: model.add(Flatten())#check model.add(Dense(512, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(10, activation='softmax')) copy This started to converge quickly, but I do not feel it is benefitted from the pre-trained weights.",1,bronze,10,Mon Jun 06 2016 23:40:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21475,None,None
/aman1391,Query,Hi Is there any material or sort of research paper that can in getting a headstart to this sort of problem? Thank in advance Aman kapoor,0,None,1,Tue Jun 07 2016 00:02:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21476,/competitions/integer-sequence-learning,79th
/liubieqian,Different submissions have the identical score,"Hi there, recently i have submitted two prediction results , which differ from each other at least 15% . But after submission I got the totally identical score (0.62356). Did anybody expierence the same thing ? why? Best wishes",1,None,4,Tue Jun 07 2016 01:06:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21477,/competitions/can-we-predict-voting-outcomes,2464th
/doctorh,XGBoost_Crime_Classification,I used this to learn how to work with XGBoost. Thanks!,0,None,2,Tue Jun 07 2016 01:48:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21478,None,None
/menejike,Error: variables with different types than the fit,"I converted some of the key variables to ordered factors and then imputed missing information. I created a glm and tried to predict the peformance on the model using the code below: Model8 = glm(Party ~ Gender+ Income+ HouseholdStatus+ EducationLevel+ Q109244+ Q115611+ Q113181, data=trainimputed, family = binomial) PredTest = predict(Model8, newdata=test, type=""response"") This resulted in the the error below: Error: variables ‘Gender’, ‘Income’, ‘HouseholdStatus’, ‘EducationLevel’, ‘‘Q109244’, ‘Q115611’, ‘Q113181’were specified with different types from the fit. I tried removing binomial from the glm, but got the same result. Can someone tell me where I'm going wrong and how to fix the error? Thanks,",0,None,3,Tue Jun 07 2016 03:44:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21481,/competitions/can-we-predict-voting-outcomes,1481st
/fgrideau,detecting hot spots,"Maybe some of you have tried something like this ? I'd like to know what statistical procedure and what packages / libraries would you use to solve the following subproblem: estimate the density of crime (or a sub-category of crime), then find out the coordinate of local maximas (=hot spots) and those as features. a function like KernelDensity (in Python) would give the densities. perhaps something more simpler like a nearest neighbours and a count of neighbours is a pball of some given size would be easier to implement ?",0,None,1,Tue Jun 07 2016 04:56:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21482,/competitions/sf-crime,589th
/fgrideau,XGBoost: how to interpret those results,"I've posted here already [Link]:http://stats.stackexchange.com/questions/217589/xgboost-how-to-interpret-these-results I don't understand whats going on. If anybody does, thanks I'm using XGBoost package (under Python) on a Kaggle set. I'm running the following code import xgboost as xgb data_train = np.array(traindata.drop('Category',axis=1)) labels_train = np.array(traindata['Category'].cat.codes) data_valid = np.array(validdata.drop('Category',axis=1)) labels_valid = np.array(validdata['Category'].astype('category').cat.codes) weights_train = np.ones(len(labels_train)) weights_valid = np.ones(len(labels_valid )) dtrain = xgb.DMatrix( data_train, label=labels_train,weight = weights_train) dvalid = xgb.DMatrix( data_valid , label=labels_valid ,weight = weights_valid ) param_train = {'bst:max_depth':5, 'bst:eta':0.3, # eta [default=0.3] #'min_child_weight':1,'gamma':0,'subsample':1,'colsample_bytree':1,'scale_pos_weight':0, # default # max_delta_step:0 # default 'min_child_weight':5,'scale_pos_weight':0, 'max_delta_step':2,'lambda':2, 'subsample':0.8,'colsample_bytree':0.8, 'silent':1, 'objective':'multi:softprob','eval_metric':'mlogloss','num_class':39,'nthread':4, 'evals_result':['eval_metric'],'evallist': [(dtrain,'train'),(dvalid,'eval')]} param_CV = {'bst:max_depth':5, 'bst:eta':0.3, 'min_child_weight':5,'scale_pos_weight':0, 'max_delta_step':2,'lambda':2, 'subsample':0.8,'colsample_bytree':0.8, 'silent':1, 'objective':'multi:softprob','eval_metric':'mlogloss','num_class':39,'nthread':4, 'evals_result':['eval_metric'], 'verbose_eval':True} evallist = [(dtrain,'train'),(dvalid,'eval')] # if there is a validation set # evallist = [(dtrain,'train')] # if there is no validation set num_round = 100 bst = xgb.train( param_train, dtrain, num_round, evallist,early_stopping_rounds=5 ) # early_stopping_rounds=10 # when there is a validation set res=xgb.cv(param_CV,dtrain=dtrain,num_boost_round=num_round,nfold = 5,early_stopping_rounds=5) copy so the params are the same, except that in CV i don't need to print the evallist ? (its not an accepted parameter i think ?) then here is what i get > Will train until eval error hasn't decreased in 5 rounds. > [0] train-mlogloss:3.222158 eval-mlogloss:3.331301 > [1] train-mlogloss:2.884756 eval-mlogloss:3.097502 > [2] train-mlogloss:2.632060 eval-mlogloss:2.945249 > [3] train-mlogloss:2.470736 eval-mlogloss:2.850051 > [4] train-mlogloss:2.358537 eval-mlogloss:2.791360 > [5] train-mlogloss:2.278458 eval-mlogloss:2.753927 > [6] train-mlogloss:2.214835 eval-mlogloss:2.728683 > [7] train-mlogloss:2.164496 eval-mlogloss:2.712738 > [8] train-mlogloss:2.123897 eval-mlogloss:2.702676 > [9] train-mlogloss:2.091214 eval-mlogloss:2.694672 > [10] train-mlogloss:2.064233 eval-mlogloss:2.689833 > [11] train-mlogloss:2.040527 eval-mlogloss:2.690605 > [12] train-mlogloss:2.020167 eval-mlogloss:2.693260 > [13] train-mlogloss:2.003255 eval-mlogloss:2.697917 > [14] train-mlogloss:1.988390 eval-mlogloss:2.704585 > [15] train-mlogloss:1.975163 eval-mlogloss:2.712515 Stopping. Best > iteration: [10] train-mlogloss:2.064233 eval-mlogloss:2.689833 res test-mlogloss-mean test-mlogloss-std train-mlogloss-mean train-mlogloss-std 0 3.249529 0.011871 3.201333 0.002639 1 2.929290 0.016930 2.829826 0.006743 2 2.696570 0.023819 2.546634 0.008640 3 2.542200 0.030709 2.347780 0.008460 4 2.440506 0.034024 2.203404 0.009297 5 2.368498 0.033255 2.095443 0.010717 6 2.311877 0.034071 2.006866 0.010142 7 2.270071 0.034105 1.933655 0.010083 8 2.237238 0.037012 1.872254 0.009957 9 2.211688 0.038777 1.819701 0.008550 10 2.190893 0.038745 1.774208 0.009258 11 2.173965 0.037626 1.732723 0.008969 12 2.159105 0.038843 1.694437 0.009346 13 2.148262 0.039140 1.660285 0.008647 14 2.139713 0.039134 1.628401 0.007815 15 2.133940 0.040289 1.601097 0.007548 16 2.129378 0.040396 1.575236 0.006340 17 2.127329 0.041668 1.551052 0.008037 18 2.125965 0.041890 1.525768 0.007868 19 2.124177 0.042267 1.504649 0.008013 20 2.123374 0.042020 1.483685 0.009100 copy I don't understand why the result in the single run has a much higher logloss (eval-mlogloss 2.689) than in the CV run (test-mlogloss 2.123) while i'm running it on the same set right and same parameters right ? also why are there 20 lines in res ? i specified 5 folders, but is the CV always running 20 times ? (this 20 doesn't seem to be a parameter and i haven't seen this number in any doc ?) thank you",1,None,1,Tue Jun 07 2016 04:57:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21483,/competitions/sf-crime,589th
/thabssoe,"Renaming factors labeled as""""","I'm trying to use the revalue function to rename the factor variable but keep getting an error. Anyone can tell me why? For example: library(plyr) levels(df$Gender) revalue(df$Gender, c(""""=""Unanswered"")) I keep getting Error: attempt to use zero-length variable name If this is the wrong way, how else can I manipulate the data to include """" as a level in an ordered factor variable instead of putting them as NAs? Thanks",0,None,6,Tue Jun 07 2016 07:57:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21486,/competitions/can-we-predict-voting-outcomes,700th
/hwessel,"Help, can´t submit files anymore","Hi all, I can't submit files. THE one day that I have reserved for this my first file runs for 15 minutes or so and then crashed. Counts as my first submission scoring NULL, which is rediculous, because I checked the file and it's formatted properly. Then I resubmitted, takes a long time and shuts down again. Again: counts as 1 submission. Then I resubmittend about an hour ago and it is still running….. Something is wrong and I only have today left to work on this and I have so many more things I want to do on this one day I could work on it for 4 hours in a row… AAAARGHH!!! What's wrong? Please see: [Link]:https://courses.edx.org/courses/course-v1:MITx+15.071x_3+1T2016/discussion/forum/9214edfd8fe8a5cd00c2f66fdc149e0723eec3bb/threads/575698443ba2a905050008ea",0,None,1,Tue Jun 07 2016 13:01:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21489,/competitions/can-we-predict-voting-outcomes,515th
/shdgrao,Parallel training over grids,"With this script you can test different models over the data consuming the less time possible. All the process is done in parallel. -> You can configure the number of cores used. -> You can select the number of grids to train/test. -> You can configure the grid size and also the grid margins. Examples falling into the margins are added to the train set but they are not used for testing. -> Error is measured using MAP3. -> I have used caret package so you can change the learning method and parameters easily, changing only the train() function call. For the script I am using randomForest but you can try others. Commentaries, bugs and improvements are welcome!",1,bronze,4,Tue Jun 07 2016 14:23:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21490,None,None
/kirukrish,To Admin: is this restricted to open source softwares?,"I would like to use MatLab, however, I know other Kaggle comps demands open source softwares to be used. I did not find such restrictions here.",0,None,2,Tue Jun 07 2016 15:41:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21492,/competitions/integer-sequence-learning,None
/kishorekumr,Weka Explorer,"Hi, I found this application to be useful for analyzing and performing basic regression, trees,etc. Maybe useful for newbies. [Link]:https://sourceforge.net/projects/weka/ [Link]:http://www.cs.waikato.ac.nz/ml/weka/",1,bronze,4,Tue Jun 07 2016 16:57:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21493,/competitions/can-we-predict-voting-outcomes,18th
/thabssoe,"Imputation but variables still have ""NA""","So far I have been working with the data before imputation. Today I start to try imputation, I'm sure I'm missing something obvious but my imputation does not work. df=read.csv(""kaggle train2016.csv"",na.strings=c("""", ""NA""), stringsAsFactors = FALSE) set.seed(123) dfImputed=complete(mice(df)) Only the YOB variable gets imputed. All the other ""NA""s remain. May I doing mice imputation all wrong?",0,None,5,Tue Jun 07 2016 18:00:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21494,/competitions/can-we-predict-voting-outcomes,700th
/dharmaone,Is the training data accurate?,"Just downloaded the data set and started looking manually through it. 1_35.tif 1_36.tif are nearly identical, but 1_36_mask.tif shows no mask while 1_36_mask.tif does? Same for 1_45.tif 1_46.tif",5,silver,7,Tue Jun 07 2016 18:54:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21495,/competitions/ultrasound-nerve-segmentation,None
/dilipkomar,4GB RAM machine,"KUDOS to those in Top 100 using 4GB RAM machine, its like racing with a low power engine.",1,bronze,1,Tue Jun 07 2016 19:28:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21496,/competitions/expedia-hotel-recommendations,421st
/gledsonmelotti,Ajuda com o Lasso,"Oi, Tudo bom David e turma. Eu estou com uma grande dúvida. Estou usando os comandos do livro texto para realizar o trabalho. Tentei realizar o lasso conforme o livro. Eu usei o comando cv.glmnet e depois de compilar bastante ele forneceu o seguinte erro: Error: cannot allocate vector of size 1.5 Gb In addition: Warning messages: 1: In predmat[which, , seq(nlami)] = preds : Reached total allocation of 3034Mb: see help(memory.size) 2: In predmat[which, , seq(nlami)] = preds : Reached total allocation of 3034Mb: see help(memory.size) 3: In predmat[which, , seq(nlami)] = preds : Reached total allocation of 3034Mb: see help(memory.size) 4: In predmat[which, , seq(nlami)] = preds : Reached total allocation of 3034Mb: see help(memory.size) Mas mesmo assim forneceu o lambda bestlam=cv.out$lambda.min bestlam [1] 0.0005722929 Depois disso realizei o comando lasso.coef=predict(lasso.glmmod,type=""coefficients"",s=bestlam) Para minha surpresa ele forneceu um modelo para cada classe. Classe 1 tem um modelo, classe 2 tem outro modelo e por ai vai até a classe 7 com outro modelo. Deveria fornecer apenas um modelo para o respectivo lambda. Alguém pode explicar o que aconteceu? Porque no exemplo do livro tudo funciona perfeito. Mas com a nossa base de dados tudo é problemático.",0,None,7,Tue Jun 07 2016 19:53:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21497,/competitions/eee901-2016-01-tp-final,9th
/ximena,first submission: same error ,"I get the error regarding the column name… I followed your scripts, so I am not sure why… any suggestions.?",0,None,3,Tue Jun 07 2016 20:00:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21498,/competitions/can-we-predict-voting-outcomes,1424th
/overfit,Exploring Random Forest on a grid,"Version 119: Feature Importance Plot Version 74: RandonForest(estimators = 10, dropout<0) || Time: ~4.215s/grid, Map@3:~0.537 Version 94: RandonForest(estimators = 20, dropout<0) || Time: ~6.37s/grid, Map@3:~0.578 Version 90: RandonForest(estimators = 20, dropout<10) || Time: ~2.66s/grid, Map@3:~0.584 Version 95: RandonForest(estimators = 50, dropout<10) || Time: ~3.74s/grid, Map@3:~0.609 Version 96: RandonForest(estimators = 100, dropout<10) || Time: ~6.96s/grid, Map@3:~0.61653 Version 88: RandonForest(estimators = 20, dropout<20) || Time: ~2.19s/grid, Map@3:~0.583 Version 91: RandonForest(estimators = 50, dropout<20) || Time: ~3.73s/grid, Map@3:~0.605 Version 92: RandonForest(estimators = 100, dropout<20) || Time: ~5.61s/grid, Map@3:~0.613 Version 133: RandonForest(estimators = 300, dropout<10) || Time: ~19.5s/grid, Map@3:~0.62315 Version 134: RandonForest(estimators = 500, dropout<10) || Time: ~29.6s/grid, Map@3:~0.62424 Version 142: RandonForest(v96+max_features=log2) || Time: ~7.83s/grid, Map@3:~0.61898 Version 144: RandonForest(v96+max_features=None) || Time: ~14.39s/grid, Map@3:~0.59559 Version 77: RandonForest + CalibratedClassifier (estimators = 10, cv=5) || Time: ~5.217s/grid, Map@3:~0.597 Version 85: RandonForest + CalibratedClassifier (estimators = 10, cv=10) || Time: ~7.997s/grid, Map@3:~0.606 Version 86: RandonForest + CalibratedClassifier (estimators = 10, cv=20) || Time: ~11.06s/grid, Map@3:~0.608 Version 101: RandonForest + CalibratedClassifier (estimators = 50, cv=10) || Time: ~26.78s/grid, Map@3:~0.625 Version 100: RandonForest + CalibratedClassifier (estimators = 100, cv=10) || Memory Error Version 149: GradientBoosting (learning_rate=0.1, estimators = 100, cv=10) || Exceed Time Map@3:~0.58 Version 79: RandonForest + AdaBoost || Time: ~37.229s/grid, Map@3:~0.593",0,None,5,Tue Jun 07 2016 22:56:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21499,None,None
/laurae2,Time Series!!!,"It changes a lot from the current competitions. I hope this one has an interesting data set, it looks very nice due to the topic and the data column descriptions provided. Sounds like a lot of features to engineer, and that will be probably really great to work in this (unusual?) competition!!",11,gold,17,Wed Jun 08 2016 03:04:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21500,/competitions/grupo-bimbo-inventory-demand,None
/wendykan,Welcome! ,"Grupo Bimbo and Kaggle would like to welcome you to this forecasting challenge. We're quite excited about this dataset because it's very ""real-world"", has a large enough volume to cause you trouble, but at the same time the structure of the data is simple. Please feel free to ask questions and we'll try to answer them. We hope you'll enjoy the challenge. ¡Que te diviertas!",13,gold,79,Wed Jun 08 2016 03:14:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21501,/competitions/grupo-bimbo-inventory-demand,None
/del=7f7b44f8e2201ba9,Philippines: Energy Use ,Cool statistics. Looking forward to 3 and 4 :),1,None,15,Wed Jun 08 2016 03:54:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21502,None,None
/beedata,What score should my xgboost get to beat the script?,Now my xgboost score is LB 0.271 which takes me a lot of time to train. I'm wandering what xbgboost score combined with leakage information could help me beat the script.,0,None,1,Wed Jun 08 2016 04:08:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21503,/competitions/expedia-hotel-recommendations,151st
/mikevdickson,Help optimizing this piece of code?,"I'm trying to make a feature to estimate the complexity of the shot, based on specific words that show up in the shot_action_type field. The following code works fine, but unfortunately it is very slow even for limited number of rows. How can I speed it up and make it more pythonic? data_cl[""shot_complexity""] = 0 action_type_adverbs = {""Turnaround"",""Fadeaway"",""Running"",""Reverse"",""Bank"",""Pullup"",""Finger"",""Alley"",""Hook"",""Step"",""Floating""} f = lambda x: x in action_type_adverbs for r in range(0,200): s = string.split(data_cl[""action_type""].iloc[r]) k = sum(f(w) for w in s) data_cl[""shot_complexity""].iloc[r] = k print(data_cl[[""action_type"",""shot_complexity""]]) copy",0,None,1,Wed Jun 08 2016 05:58:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21505,/competitions/kobe-bryant-shot-selection,None
/mfagerlund,Co-centered Search Destinations,"[A previous version of this post talked about co-centered search destinations, but it's in fact overlapping search destinations.] I've written some code to determine which search destinations overlap with other search destinations. The way I've worked this out is by looking at distances from one city to a search destination A. If there are trips, from the same city, to other search destination B that have the exact same distances and the exact same cluster, it would seem they're going to the same hotel. Which means that particular hotel is included in both search destination A & B which is to be expected. The distance from a city to a hotel will be the same no matter what search destination they're included from. Take 8250 and 12206 for instance, I was able to find 37823 distance matching trips between these. Out of the matched trips, 37790 had the same clusters and 33 had different clusters. That is 33 with the same distance but different clusters - that could mean duplicate distances or that a hotel changed clusters (which they're supposed to do sometimes). Note that I am not saying they're the same search destinations, but that they're two destinations that overlap. Maybe it's Manhattan and New York City or Paris and France. Different searches, but partially the same hotels. Here are three examples of search destinations that have overlapping hotels. 12391,21254,24620 439,15941,38798 61057,61060 Testing the feature I haven't been able to really use this new knowledge yet, though the leak becomes slightly stronger with this information than without it. The leak can be used by grouping on the city a user came from and the distance to the hotel. If you find a hit, then use the hotel_cluster for that hotel. But sometimes there are duplicates that aren't actual hits, they may go to a different hotel at the exact same distance. You can fix this by also grouping on srch_destination_id - in which you have better precision on the votes cast, but ultimately you cast fewer votes and the result is worse. Using srch_destination_id_base (which is simply the lowest srch_destination_id in a pool of overlapping srch_destination_ids) allows you to 1) filter out the false positives and 2) keep on the true positives. Unfortunately, though, it didn't help that much. Grouped on: user_location_city, orig_destination_distance Getting leaked info 67.998s Total: 0.2282762(1207263), Specific: 0.8851196(435533) Many votes cast and score is high. Grouped on: user_location_city, orig_destination_distance, srch_destination_id Getting leaked info 61.883s Total:0.1758085(1144100), Specific: 0.8818949(342576) Far fewer votes cast, but precision is better on the actual votes cast. Grouped on: user_location_city, orig_destination_distance, srch_destination_id_base Getting leaked info 63.564s Total:0.2362686(1140054), Specific: 0.8861945(424267) My method of finding the base search destination isn't flawless, but the number of votes is higher since it's able to match up more items. The number of cast votes is higher which leads to better overall result. Compared to the version that ignores the srch_destination_id, it performs slightly better (+0.001). Conclusion Hardly worth the effort for the boost above, but it might prove a useful feature elsewhere…",3,bronze,"Grouped on: user_location_city, orig_destination_distance",Wed Jun 08 2016 07:44:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21506,/competitions/expedia-hotel-recommendations,6th
/carloshuertas,"Vivo por Agencia_ID 25739","Genial!, no he revisado nada de esta competencia pero…. vivo a 5 minutos de la Agencia con ID 25739 [Link]:https://www.google.com.mx/maps/@32.4963374,-116.9214924,3a,75y,330.56h,89.96t/data=!3m6!1e1!3m4!1soQq4EhL2t6WIOdvPindEoA!2e0!7i13312!8i6656!6m1!1e1?hl=es-419 y si alguien se pregunta como se ve… se ve asi: (Awesome!, I haven't checked the data for this competition yet, but… I live at 5 minutes from Agency ID 25739 [Link]:https://www.google.com.mx/maps/@32.4963374,-116.9214924,3a,75y,330.56h,89.96t/data=!3m6!1e1!3m4!1soQq4EhL2t6WIOdvPindEoA!2e0!7i13312!8i6656!6m1!1e1?hl=es-419, and if you wonder how it looks, it looks like this:) [Link]:http://s32.postimg.org/cb7gd4mdh/bimbo_Tijuana.jpg",28,gold,17,Wed Jun 08 2016 09:15:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21507,/competitions/grupo-bimbo-inventory-demand,503rd
/yashams,Income vs Months Programming,"Laura, very good work. can you add some interpretation to chart. I can see lots less experienced people in 200K income bracket. This may be due to inflated salary disclosure by novices or may be richy rich people found their passion in coding.",0,None,1,Wed Jun 08 2016 11:41:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21508,None,None
/dataphilipchen,Logistic Regression,"Why do you divide the data by 255 here (X[:, 1:] = data[:, 1:] / 255)? Thanks.",0,None,1,Wed Jun 08 2016 17:42:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21511,None,None
/ankeshanand,Methodology to scrape the dataset?,"Hi, Can we know the methodology used to scrape the dataset? Were you searching for particular hashtags on Twitter?",1,bronze,4,Wed Jun 08 2016 17:48:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21512,None,None
/svpons,grid_knn,LB = 0.56736,6,silver,26,Wed Jun 08 2016 18:19:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21513,None,None
/jankoch,Exploratory Data Analysis,"Nice EDA. Just one hint I discovered today: [Link]:http://stackoverflow.com/questions/34398054/ipython-notebook-cell-multiple-outputs There is no need to print, just use the display command and import it from Ipython.display",5,bronze,15,Wed Jun 08 2016 22:26:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21514,None,None
/chabir,image ids question,"I'm most likely missing something. ID 3334451 has a 4 images: 11040625, 1332302, 8, 9317829, 9787485 in the itemInfoTest file. R code: itemInfoTest[itemInfoTest$itemID==3334451,] my question is where can I find image ""8"" in the zip folders ? I thought the last two digit of the image would correspond to the folders in the zip file so all the images would have at least 3 digits… Where am I making a mistake ?",0,None,2,Wed Jun 08 2016 22:50:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21515,/competitions/avito-duplicate-ads-detection,25th
/buinyi,Hardware for this competition,"I am thinking of joining this competition, but unsure whether my computer will be able to run effective models given the large size of the dataset. I wonder how much memory and processing capacity would be enough? PS. Currently I have 4 cores and 16GB RAM.",5,silver,25,Thu Jun 09 2016 00:01:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21516,/competitions/grupo-bimbo-inventory-demand,None
/elnazfathi,Analyzing the time ,"If we analyze time feature we will fetch useful information that will be very useful in our prediction. Time feature has the information about, date, day of the week, hour, minute, or probably holidays which definitely will have relationship with other features. At first glance it may seems it's the number of second. So in lines 10-16 I found that how many days, hours, minutes and seconds is represented by the largest value of the time which is 786239. The result shows 9 days, 2 hours, 23 minutes, and 59 seconds. Next I considered the time as representing in minutes and did the same steps (lines 18-22). I found that is 786239 is the largest time in minutes, it represents 545 days, 23 hours and 59 minutes. 545 days is exactly a year and 6 month. Attention to the hour=23 and minute=59. It makes more sense to me that the data is for the duration of exactly 1 year, 6 months, 23 hours and 59 seconds rather than just 9 days in which it only represent some of the week days twice and some just once. Now we need to format the time column to date and time. To do so, I used as.POSIXct.numeric which receives a number as seconds and change it to timestamp. But our time data is in minutes, thus I changed them into seconds by multiplying with 60. after that I could easily breack it to hour, day of week, year and stored each of then in a separate column in my dataset. In as.POSIXct.numeric we need to assign a date as ""origin"" which shows the starting date. I randomly selected ""2015-01-01"" which may not be true and consequently the day of week(Sunday, Monday, or so on) would not be true, however it doesn't affect their relationship with each other. For example, maybe the rank of a place is higher on weekends, then I may find Monday and Tuesday higher ranked rather than Sunday and Saturday, but they still are 2 days in order.",1,bronze,3,Thu Jun 09 2016 02:46:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21517,None,None
/cckeating,"conf matrix ""all arguments must have the same length""","Hi all , when attempting to test the accuracy of my models I continually get the message ""all arguments must have the same length"" and have no idea how to fix it. I've already imputed the test and training set, no difference. This is when running the typical table statement we learned in lecture: table(vote.test$Party,vote.CARTCV.pred>0.5) Error in table(vote.test$Party, vote.CARTCV.pred > 0.5) : all arguments must have the same length Any hints?",0,None,2,Thu Jun 09 2016 03:24:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21518,/competitions/can-we-predict-voting-outcomes,834th
/whoisit,CS courses for Data Science,"I'm considering to do a degree of computer science, I have done many math/stat courses such as calculus, linear algebra, probability,regression analysis, convex optimization etc, I certainly will do more math/stat subjects like multivariate statistics, statistical inference,stochastic process etc, but now I'm focusing on CS courses that will be useful to Data Science. I 'm not quite sure about courses below are very relevant to Data Science/Machine Learning: 1.Theory of Computation(Turing Machines, computability, Complexity: run time, space, too theoretical?) 2.Design & Analysis of Algorithms Advanced and Parallel Algorithms (Spatial, semi-structured and multi-dimensional data storage and manipulation techniques, non Von-Neumann techniques, advanced and parallel algorithmic techniques, can it useful for ML?) 3.Parameterized and Exact Computation( NP-hard problems, branching, colour coding, iterative compression, and kernelization) 4.Artificial Intelligence (too theoretical?) 5.Knowledge Representation and Reasoning(AI Logics, Probablilistic Reasoning, Constraints, too broad?) 6.Information Retrieval and Web Search 7.Distributed Systems 8.Computer Architecture(pipelined RISC machines,memory subsystem, I/O, and system level interconnect) I have finished basic programming courses such as java,C++, data structure, please list some more if I miss out some other important CS courses in the list.Thank you very much",2,bronze,2,Thu Jun 09 2016 04:38:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21521,None,None
/dietcoke,Bias,"Scoring this competition on the basis of validation performance may be problematic. The problem is, in this competition, validation performance won't penalize biased estimators because the validation data is generated under the same pricing/stocking regime as the training data: The train and test dataset are split based on time, as well as the public and private leaderboard dataset split. Bias is bad because it can contaminate policy forecasts. In other words, a biased model may lose predictive power if and when Bimbo modifies their pricing/stocking strategy. One potential source of bias in this competition comes from product stockouts (see, for example, [Link]:https://www.aeaweb.org/articles?id=10.1257/mic.5.4.1). Can you think of others? What are your thoughts?",3,bronze,9,Thu Jun 09 2016 07:21:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21523,/competitions/grupo-bimbo-inventory-demand,None
/anindyacs,Simple Rpart is causing All predictions to be Democrat,"Intstead of Logistic Regression I just used RPART with 10 fold cross validation, the resulting best model predicts all as ""Democrat"". Anyone faced this situation? Any leads would be very helpful.",0,None,3,Thu Jun 09 2016 07:27:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21524,/competitions/can-we-predict-voting-outcomes,1735th
/pragnesh90,Help! Showing NULL score when making a submission    ,"Hi everyone, When I upload the result on kaggle, it showing me NULL as my score. Someone please suggest what to do. Thanks",0,None,4,Thu Jun 09 2016 07:38:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21525,/competitions/can-we-predict-voting-outcomes,2596th
/mfagerlund,Widening the leak,"I was thinking about the leak, and I realized that there must be cities which are close enough to eachother that their distances to hotels on the other side of the world will be very similar. Different, but the difference ought to be constant. Take city (country, region, city) 77,824,49178 and city 77,824,55729. For the search_destination_id 8745, my code tells me that there seems to be a constant difference of -5.061in orig_destination_distance. How can this be exploited? If we've been able to find a constant distance between city A and city B, the leaked hotels for city A can be used for city B and vice versa. It does seem to work, but it's not the huge gain I was hoping for ;)",9,silver,39,Thu Jun 09 2016 07:43:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21526,/competitions/expedia-hotel-recommendations,6th
/sterby,Long submission time,,0,None,1,Thu Jun 09 2016 07:44:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21527,/competitions/grupo-bimbo-inventory-demand,13th
/gospursgo,What's is your best grid?,I assume most of you guys use grid in making predictions. I just wonder what is your best grid so far;) I haven't try anything other than 10 * 10 and I am no sure how much does it affect the predicting performance.,0,None,4,Thu Jun 09 2016 07:47:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21528,/competitions/facebook-v-predicting-check-ins,35th
/arjoonn,Product Name Parts,"The product name is composed of some parts. They are: The weight is identified by the 'g' next to a number. 178g etc. Weights are also sometimes refered to by volume in ml. Pieces are usually small in number and have a 'p' next to them. 6p etc. Some items have length like 5in associated with them. What are the tags like DH, WON, SUA, SL etc. ? I have no idea about those. Possibly some sort of category indicators. Also some components are like '0pct' what are those? 0 packets? The last number is the product ID. Does anyone know what the tags are for?",5,bronze,10,Thu Jun 09 2016 10:36:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21529,/competitions/grupo-bimbo-inventory-demand,726th
/divakardass,How good will a neural network approach perform in this competition?,"To all fellow kagglers, I just want to know how good a neural network will perform for this dataset. Since I haven't used neural networks before. I'm just wondering if someone could give me an idea on whether is it good to go with a neural network for this dataset. Thanks in advance.",0,None,3,Thu Jun 09 2016 11:02:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21531,/competitions/grupo-bimbo-inventory-demand,None
/sangxia,Ruta_SAK,"In the description it says ""Ruta_SAK — Route ID (Several routes = Sales Depot)"". I'm not familiar with the terminology. Could someone explain what the text inside the parenthesis means?",0,None,9,Thu Jun 09 2016 12:02:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21533,/competitions/grupo-bimbo-inventory-demand,50th
/solojay,Is Data Science complicated?,"The more I read about data science, the more I'm thrown into a state of confusion. Reason being that, industry expects speak about data science according to their projects or what they feel it should be. Some say its not deeply statistical or mathematical, others say it is. Some say its about marketing, while others say its about analysis and communication. Governments such as USA and UK tend not to understand it either, and narrow data science down to analysis of data only. This means there's a huge gap in the general understanding of this discipline, and what it's targeted at. Are we at any point going to come to a consensus about what we need to use Data Science for? And I mean effective use of it. Or will it remain a vague discipline and be used in random projects? Do we agree that Data Science is a complicated discipline?",0,None,2,Thu Jun 09 2016 12:17:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21534,None,None
/ramialbatal,Ground-truth and feature extraction for predictive modelling,"I have a dataset of users, each user has has daily information about his activities (numerical values representing some measurements of his physical activities). In addition, each user in each day has a boolean value that represents if he/she took a particular action. The dataset looks as follow +------+----------+----------+----------+-------+ |userID| date| activity1| activity2| action| +------+----------+----------+----------+-------+ | user1|2016-06-05| 5.3| 6| false| | user1|2016-06-04| 3.1| 8| true| | user1|2016-06-03| 2.0| 13| false| | user1|2016-06-02| 4.7| 1| false| | user1|2016-06-01| 1.3| 9| false| | user1| ...ect.| ...| ...| ...| | user2|2016-06-05| 0.6| 5| ture| | user2|2016-06-04| 3.0| 5| false| | user2|2016-06-03| 0.0| 0| false| | user2|2016-06-02| 2.1| 3| false| | user2|2016-06-01| 6.3| 9| false| | user2| ...ect.| ...| ...| ...| | user3|2016-06-05| 5.3| 0| false| | user3|2016-06-04| 5.3| 11| false| | user3|2016-06-03| 6.8| 5| false| | user3|2016-06-02| 4.9| 2| false| | user3| ...ect.| ...| ...| ...| +------+----------+----------+----------+-------+ copy Note that the dataset is not fixed, so one new row is added for each user on every new day. But the number of columns is fixed. Goal Build a model that predicts which user is likely to take the action in the near future (e.g. in any of the next 7 days). Approach My approach is to build feature vectors representing the activity values for each users over a period of time, and use the action column as a source of ground-truth. Then I feed the ground-truth and the feature vectors to a binary classification training algorithm (e.g. SVM or Random Forest) in order to generate a model able to predict if a user is likely to take the action or not. Problem I started by the positive examples that are the users who took the action. To extract the feature vector of a positive example, I combined the activity values in the X (30 or 7 or 1) days preceding the action (the day of taking the action is included). When I moved to the negative examples, it gets less obvious, I am not sure how to select negative examples and how to extract features from them. This has led me actually to re-question if my way of selecting positive examples and building my the feature vectors was correct. Questions How to build the ground-truth of positive (users who did take the action) and negative (users who didn't take the action) examples? What is a negative example in this case? is it the user who didn't take the action in a fixed period of time? What if he didn't take the action in this fixed period, but he just took it right after? What are the possible approaches of selecting the ranges of dates to extract feature vectors from. Rational Question Is there more suitable approaches (other than classification) to solve this kind of problems?",0,None,1,Thu Jun 09 2016 12:39:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21536,None,None
/anantgupta,Sequences features,"Hi Abelardo, The features idea for this problem statement is quite unique. How were you planning to use these features for prediction? Regards, Anant",0,None,1,Thu Jun 09 2016 12:54:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21537,None,None
/lexluther,Training(ML) Probability Distribution Functions(PDF),"Hello, I would like your suggestion to train some PDF's where each PDF represent particular class of data. After training I want the system to detect the class of an unknown PDF. Can any suggest me which library I can use, and how can I proceed. Any suggestions are greatly helpful.",0,None,18,Thu Jun 09 2016 13:44:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21539,None,None
/rajkranand,Exploratory Analysis-Grupo Bimbo,"Hi there, I want to know how did you loaded the csv file in R. My laptop is getting hanged whenever I am trying to load read the csv in R. My computer specification is 8GB Ram and Intel i7. Please provide help.",0,None,2,Thu Jun 09 2016 15:46:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21541,None,None
/akrsrivastava,How to use notebook/Script,"Hi, I am new to Kaggle . I recently downloaded a dataset, did some exploratory analysis in RStudio and now I wanted to upload my analysis to Kaggle. I am hoping to include my code, graphs and observations in my analysis. I have absolutely no idea how to use Kaggle notebook/Script to effectively present my analysis. I tried playing around, but all I was able to do was to increase the notebook's version number. Is there any tutorial somewhere which I can go through? Thanks, Amit",0,None,3,Thu Jun 09 2016 18:08:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21545,None,None
/scubadiver007,Why I don't think estimating ages is necessary,"Hello, As well all know the variable with the most missing data is the age. Though estimating the missing data using MICE maybe analytically correct there is no way of telling for sure who is a child and who is an adult. Whereas Megan uses 18 as the cutoff between adult and child I think 16 is a fairer reflection given the Edwardian period when young people were given high expectations about to behave etc. I might even go further and use 15 as the cut off. If we stay with 16 then for both datasets the number of children on board is 11% and adults is 89%. So we can be 90% confident that an individual with a missing age is an adult. Part 1 I see that most male children were given the title ""master"" so it can be assumed that four passengers with a missing age that have this title are under the age of 16 and I am going to assume the remainder are adults. For the training dataset this means there are 87 children and 804 adults. Part 2 Using the MICE and following Megan's work by using 129 as the seed, I find there are no misclassified adults or children based on the assumption above. By changing the seed to 326 a single adult was changed to a child. T-test Also, by conducting a T-test on those over 15, age doesn't have an impact on whether someone survived or not (but being a child or adult was important). Also, based on the logistic modelling I have done age isn't a significant predictor variable. So… Given that we can't tell for sure who are adults and children and that age has no real impact on survival (at least for those over 15) then I think trying to estimate the age isn't a productive exercise. Having said that, some Sherlock Holmes-style work can be done on the ""name"", ""SibSp"" and ""Parch"" variables to see if it can be determined whether an individual with a missing age is a child or adult. Any comments?",4,None,2,Thu Jun 09 2016 18:13:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21546,/competitions/titanic,None
/sterby,Let's discuss validation strategies...!,"Hi guys, as we all know it will be crucial for this challenge to have a good validation strategy. So let's start talking about it. I'm currently splitting the training data in a train and validation set by weeks. I use week 1-7 to train and evaluate on week 8+9. Is there any better idea? My current model gives me locally a score of 0.65667. But when I submit with this model I get a LB-Score of 1.07689. So it looks like I'm overfitting (I don't see how) or make some other mistake. Has anyone an idea what's happening here? Best, Sterby",2,bronze,22,Thu Jun 09 2016 18:18:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21547,/competitions/grupo-bimbo-inventory-demand,13th
/tmclymer,YOB as age groups?,I'm thinking it might be helpful to convert the YOB variable to age groups that can be represented with binary variables. Anyone else experiment with this? If so was it worthwhile?,0,None,10,Thu Jun 09 2016 19:17:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21550,/competitions/can-we-predict-voting-outcomes,2655th
/tmorrison,R Markdown - Fishing by Countries,I find it unlikely that the Isle of Man and Guernesy (pop ~80k each) catch more fish than both Japan and China…,0,None,2,Thu Jun 09 2016 19:30:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21551,None,None
/thabssoe,Error in CART & RF predictions,"I have checked my test data for submission, it has 1392 observations. However, each time I do a prediction on this newdata for CART and RF, it outputs 1670 results. What could be going wrong? Due to this, I can't submit any of my recent CART or RF models. When I do glm with these data sets, everything is fine.",0,None,9,Thu Jun 09 2016 20:24:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21553,/competitions/can-we-predict-voting-outcomes,700th
/zachmayer,~10k duplicated client ids,"This really messed up my first submission: library(data.table) client <- fread('input/cliente_tabla.csv') client[which(duplicated(Cliente_ID) | duplicated(Cliente_ID, fromLast=T)),] copy They all look pretty similar, so I'm just dropping the duplicates, but this might be a case of a bad SQL join the the data prep or something",4,bronze,4,Thu Jun 09 2016 21:13:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21554,/competitions/grupo-bimbo-inventory-demand,147th
/nborkar45,Questions.pdf file; what are we exactly supposed to do with it?,"There are too many questions, obviously we aren't supposed to read them all and analyse which are important. Also there are too many NA's in the answers to those questions. Please let me know what you people did with those variables.",0,None,5,Thu Jun 09 2016 22:10:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21555,/competitions/can-we-predict-voting-outcomes,1296th
/espresso,Datacamp Data Exploration With Kaggle S,interesting,0,None,1,Thu Jun 09 2016 23:08:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21556,None,None
/richb123,Bimbo boosting with R,Please refer to version 4. It gets killed by time limit but works well even on low end machines.,0,None,5,Fri Jun 10 2016 00:09:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21558,None,None
/jypucca,Running Keras on CPU,"Hi, I just realize that my desktop (window 7) only has Intel(R) HD Graphics 4600, and not NIVIDIA, so I cannot run theano on GPU with the CUDA 7.5 package. Is there a way to run it on the Intel HD graphics card that I have, or speed up the model.fit process while running on cpu? Thanks!",0,None,1,Fri Jun 10 2016 00:11:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21559,/competitions/state-farm-distracted-driver-detection,1152nd
/dwp676,Log and RandomForest Predicting mostly NAs - Why??,"I have created the train and test datasets filling in missing values with NA. train <- read.csv(""train2016.csv"", na.strings = c("""",""NA"")) test <- read.csv(""test2016.csv"", na.strings = c("""",""NA"")) I then build the basic Log model and subsequently predict on the test set LogModel <- glm(Party ~. -USER_ID, data = train, family = ""binomial"" LogPredict <- predict(LogModel, newdata = test, type=""response"") LogPredict The predicted test output includes mostly NAs. I have the same issue even if I impute data into the training set prior to creating the logistic model. Is the problem due to having NA values in the test set? I have the same result if I build a randomForest model with the imputed train set. When I did a CART model I didn't have this issue. I'm new to R and modeling so any advice to help get me passed this roadblock would be helpful. Thank you.",0,None,2,Fri Jun 10 2016 00:29:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21560,/competitions/can-we-predict-voting-outcomes,1419th
/yukihou,"tooooo much data on test, use Spark?","Hello: I am new to Kaggle and this is my first try in kaggle. I found it too much data about 3 million in testing data set, which takes me a huge time to run my code. Should I use Spark? or is it possible to run through jupyter. Thank you",0,None,1,Fri Jun 10 2016 00:31:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21561,/competitions/expedia-hotel-recommendations,None
/isadoraamaral,How to improve with imputation?,"Hi everyone, I read everywhere on this forum that people get improvements with imputation. However, when I tried, it just decreased my score. I'm really new with R, so I'm sure I'm doing something very wrong. Can someone give me a hint please? Here's the code: > imputed_Data <- mice(train, m=5, maxit = 50, method = 'pmm', seed = 500) > complete <- complete(imputed_Data,1) > imputed_test <- mice(test, m=5, maxit = 50, method = 'pmm', seed = 500) > completetest <- complete(imputed_test,1) > SimpleMod = glm(Party ~ . -USER_ID, data=train, family=binomial) > PredTest = predict(SimpleMod, newdata=test, type=""response"") > threshold = 0.5 > PredTestLabels = as.factor(ifelse(PredTest<threshold, ""Democrat"", ""Republican"")) copy",0,None,11,Fri Jun 10 2016 02:01:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21562,/competitions/can-we-predict-voting-outcomes,1667th
/shahnawazakhtar,How are people choosing coefficients of append_1,Can anyone explain what procedure are you guys using to choose various coefficients for append_1. At least tell me where did append_1 came from in first place. append_0 makes some sense but append_1 is crazy and people are actually tuning it..,1,bronze,6,Fri Jun 10 2016 03:29:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21563,/competitions/expedia-hotel-recommendations,143rd
/aklandi,[Deleted Kernel],Is there a way to delete this? This is obviously not the code I meant to display..,0,None,1,Fri Jun 10 2016 04:47:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21565,None,None
/ianlokh,Is Time Series Applicable?,"Hi all, I am new to kaggle and this is the first competition I am joining so please pardon me if this is an invalid question. After briefly looking through the data, it appears that we can't use time series because there isn't any logical sequence (other than the 7 weeks data). Anyone has a contrarian opinion that you would like to share? Thanks Ian",1,bronze,1,Fri Jun 10 2016 04:52:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21566,/competitions/grupo-bimbo-inventory-demand,1245th
/aklandi,Attempt#2 at uploading script,"If anyone could give some suggestions on how to improve my code, that'd be great. I've also been thinking about this problem a lot. While I've used a polynomial approximation attempt, I think maybe something like NN might be a better option since the sequence function may not be polynomial-based. Any ideas?",0,None,1,Fri Jun 10 2016 04:56:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21567,None,None
/santhanam,Few questions related to the variables.,"How the adjusted demand is calculated in training data, Is it based on the unit sold and returned unit or some thing else.? What is the count of the total records, due to the technical limitation I unable to load the full data set , I tried loading 20 million data but not more than that. What is the channel variable is about ? (What it actually defines ?). Thanks in advance.",1,bronze,7,Fri Jun 10 2016 09:13:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21570,/competitions/grupo-bimbo-inventory-demand,1705th
/vslaser,EURO Cup 2016,"Dear Fellow Kagglers, The Football(Soccer) Euro cup 2016 is about to begin. I wanted to run predictive models for fun to see how accurate my model turns out to be (inspired by Moneyball). Could someone please guide me on where such data could be found for the football teams? Thanks and best regards, Vijay",0,None,9,Fri Jun 10 2016 11:11:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21571,None,None
/meanku,Team up（Keras or Caffe or TensorFlow）,"Hi everyone： Our team use Keras VGG16 model witch hit the LB at 0.45, Caffe ResNet hit the LB at 0.56, and also Caffe gooGleNet at 0.51. All by just finetuning the model, No data augmentation or pre/post processing(except [X - meanRGB/meanBGR]) or ensamble. But we believe that we miss sth because We think finetuning can hit at least 0.25. So We want some people who hit the LB at 0.3 to join us. We'll apreciate it! Our team familiar with Keras TensorFlow Caffe. Thx very much!",0,None,2,Fri Jun 10 2016 15:02:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21573,/competitions/state-farm-distracted-driver-detection,180th
/uioreanu,"how to read ""h5"" files on Kaggle?","apparently the package ""rhdf5"" is not installed, and library(h5) then h5file also generates an error. I would like to run this code: h5ls(""H-H1_LOSC_16_V1-1126259446-32.hdf5"") h5read(""H-H1_LOSC_16_V1-1126259446-32.hdf5"", ""meta/"") h5read(""H-H1_LOSC_16_V1-1126259446-32.hdf5"", ""quality/"") op = par(mfrow=c(4, 1)) plot( unlist( h5read(""H-H1_LOSC_16_V1-1126259446-32.hdf5"", ""strain/"") ) , main=""H-H1_LOSC_16"" , type=""l"") plot( unlist( h5read(""L-L1_LOSC_16_V1-1126259446-32.hdf5"", ""strain/"") ) , main=""L-L1_LOSC_16"" , type=""l"") plot( unlist( h5read(""H-H1_LOSC_4_V1-1126259446-32.hdf5"", ""strain/"") ) , main=""H-H1_LOSC_4"" , type=""l"") plot( unlist( h5read(""L-L1_LOSC_4_V1-1126259446-32.hdf5"", ""strain/"") ) , main=""L-L1_LOSC_4"" , type=""l"") par(op) copy to generate the attached chart. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/123226/4399/2016-06-10 15_14_37-Plot Zoom.png",1,bronze,2,Fri Jun 10 2016 15:16:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21574,None,None
/carrdelling,Naive beat-the-benchmark (0.82706),"You can use round(best,1) to avoid Python uglyness when printing out floating point numbers ;)",0,None,1,Fri Jun 10 2016 17:36:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21575,None,None
/namra42,Basic Preprocessing for Products,How did you infer about brand?,0,None,22,Fri Jun 10 2016 18:30:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21576,None,None
/rshekhar2,XGBoost_CV_Example_with_small_bug,"Just to point out the bug, the way the script is currently written, many place_ids are removed from the set before using it for cross validation. This inflates the value of MAP@3 in CV. It's more appropriate to remove low frequency place_ids from the training folds, but not from the validation fold. I leave that error in the code as an exercise; it is easy to fix with the sklearn kfold iterator.",1,bronze,20,Fri Jun 10 2016 19:45:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21577,None,None
/konnekt,Using XGBOOST,"I couldn't improve my prediction at all so I decided to try something else. I tried to use XGBOOST but the result is still not good enough. I'm still stuck in 0.6X. I've done as follows: convert a dataset into a numeric matrix which doesn't contain USER_ID and Party variables. convert a Party variable factor with 0 = ""Democratic"" and 1 = ""Republican"". convert a Party list into a numeric vector. make the dataset a sparse matrix. apply xgboost. repeat 1-5 with test set. predict Is there any other way to improve my model?",0,None,6,Fri Jun 10 2016 20:16:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21579,/competitions/can-we-predict-voting-outcomes,2519th
/brianbien,Root Mean Squared Logarithmic Error (RMSLE) ,"According to [Link]:https://www.kaggle.com/wiki/RootMeanSquaredLogarithmicError of RMSLE, ""RMSLE penalizes an under-predicted estimate greater than an over-predicted estimate."" How is this the case, based on the definition of Root Mean Squared Logarithmic Error?",0,None,2,Sat Jun 11 2016 01:31:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21582,None,None
/shahnawazakhtar,Waiting for Idle_speculation solution,,4,bronze,13,Sat Jun 11 2016 02:01:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21583,/competitions/expedia-hotel-recommendations,143rd
/mikebak,Linear Regression with Skewed Data,"Hi, A graph of the output variable shows a skewed distribution to the right (histogram is attached). Is a linear regression appropriate for skewed data like this? If so, should there be any modifications to the output variable? The reason I ask this is because a simple linear regression using the sales channel variable ('Canal_ID') predicts values closer to the average output value of 7.2. However, using a naive prediction of 3.9 or numbers closer to the median of 3 is getting better scores on the leaderboard than the linear regression. Any insight would be appreciated. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/123315/4400/histogram_of_dependent_variable.jpeg",1,None,10,Sat Jun 11 2016 02:59:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21585,/competitions/grupo-bimbo-inventory-demand,993rd
/mikebak,BenchmarkMedians(0.52718 on Leaderboard),"Abhishek, This is interesting that you are grouping by Product / Client pairs to get medians. I tried your code, but it is getting errors for the line: prod_median_tab = df_train.groupby('ProductId').agg({'AdjDemand': np.median}) Do I need Python 3 to run that line of code?",0,None,14,Sat Jun 11 2016 04:14:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21586,None,None
/cubbus,full leak,"You can obtain almost full map of hotels and cities exactly to better than 3.2 meter accuracy, without needing any extra data and just mantain arbitrary lat long up to some unknown rotation to the real world lat long. Obtain also the overlapping relations between the destinations because you can match the hotels by coords. Earth radius deducted from grid search: 3963.0000 miles (strange choice??) Computations was started initially from all the destinations who have maximum ONE length of distance from any city. These are candidate for being ""single hotels"" top 5 by number of cities pointed by: dest 43062 htmax= 1 ndist= 111 ncty= 111 nhit= 246 dest 3789 htmax= 1 ndist= 137 ncty= 137 nhit= 287 dest 3470 htmax= 1 ndist= 121 ncty= 121 nhit= 309 dest 25174 htmax= 1 ndist= 146 ncty= 146 nhit= 310 dest 9703 htmax= 1 ndist= 72 ncty= 72 nhit= 600 dest 21063 htmax= 1 ndist= 213 ncty= 213 nhit= 617 dest 33865 htmax= 1 ndist= 115 ncty= 115 nhit= 759 dest 48752 htmax= 1 ndist= 279 ncty= 279 nhit= 826 The destinations (single hotels) i started with were : h1=25174, h2=33865, h3=48752 Then pick the cities c1,c2,c3 that have the following distance matrix to the above 3 hotels e(c1,h1)= 1371.0242 e(c1,h2)= 1680.7709 e(c1,h3)= 1022.7044 e(c2,h1)= 710.2743 e(c2,h2)= 1767.2299 e(c2,h3)= 1446.413 e(c3,h1)= 2140.0445 e(c3,h2)= 1084.3085 e(c3,h3)= 1768.1506 (with e(a,b) i note the spherical distance on the sphere in miles) knowing radius R (you will do gridsearch later to the 3963 value) you obtain a nonlinear system that has at most 16 full real solutions (and many more complex) for a 3x3 distance matrix but there are 4 symmetries so there are at most 4 distinct full real solutions but usually only at most 2-3 converge to 100 decimals (i used mpfr). matching with full tethraedrons to other city and hotels you select the correct base solution with 3 further single hotels h4,h5,h6 which have each 3 distances with c1,c2,c3 and six further cities c4,c5,c6,c7,c8,c9 which have each 3 distances with h1,h2,h3 so you obtain accurate to 4 decimals: e(c1,c2)= 803.595455 e(c1,c3)= 883.753673 e(c2,c3)= 1452.09340 e(h1,h2)= 2441.36694 e(h1,h3)= 1561.38509 e(h2,h3)= 2697.01204 choose h4 to have known e(c1,h4) 1375.3989 e(c2,h4) 710.6864 e(c3,h4) 2142.2537 choose h5 to have known e(c1,h5) 1036.4751 e(c2,h5) 1473.8628 e(c3,h5) 1770.4498 choose h6 to have known e(c1,h6) 1550.5012 e(c2,h6) 1740.3875 e(c3,h6) 2358.7705 choose c4 to have known e(c4,h1) 2.1402 e(c4,h2) 2443.3882 e(c4,h3) 1562.3011 choose c5 to have known e(c5,h1) 340.5342 e(c5,h2) 2108.4495 e(c5,h3) 1626.4935 choose c6 to have known e(c6,h1) 2450.4404 e(c6,h2) 914.0866 e(c6,h3) 2118.8973 choose c7 to have known e(c7,h1) 2022.6995 e(c7,h2) 627.9322 e(c7,h3) 2653.9268 choose c8 to have known e(c8,h1) 329.1878 e(c8,h2) 2331.2786 e(c8,h3) 1856.1279 choose c9 to have known e(c9,h1) 2406.3413 e(c9,h2) 161.6393 e(c9,h3) 2764.0730 Tetrahedron systems have only 2 solutions you start with 3 known points and add one which has 3 distances known to them and then select the correct solution closest to be on the sphere So you now have a solid base of 9 cities and 6 hotels Now its time to do the gridsearch for earth radius R by minimizing the error of the extra 12 distances between the 6 hotels and 9 cities not described above (c4-c9 known distances to h4-h6) and also minimizing their distance to the sphere. I just steped 0.0001 from 3950 to 3970 miles for a simple gridsearch. you can conquer the rest of the world by doing thetraedrons at first and even 2 distances at latest stage and selecting based on destination center. But its nontrivial you will have to mantain a database of edges (> 12 million) and some structuring so you don't do full exhaustive 3 edge search you will get > 2 million hotels (nonduplicated) Why i am not in TOP 3? oh, i started my code 3 days ago, and i just needed few more hours (after the deadline) Well that explains the 66% bookings from the problem once you know the exact hotel from the booking and its exact cluster history",4,bronze,2,Sat Jun 11 2016 05:26:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21587,/competitions/expedia-hotel-recommendations,299th
/ma350365879,Any interesting features created?,"I am curious about what features did all those who rank 30 or higher created. Mine is pretty simple: use a pivot table to find out all the clusters a user have clicked, and merge the pivot table with both the training set and testing set. So for each click, we can find a history of what cluster the user have viewed. Then I use XGB to train for each destination with data points more than 500 (? I forget the exact number). And for the rest destinations, I use the local popular model. This feature improve my prediction for about 0.005 and I guess it's somehow like collaborative filtering. Of course not exactly the same, but the idea is to conclude from what cluster would an other similar person have clicked. So, what interesting features did you created? And how do you come up with it?",4,bronze,23,Sat Jun 11 2016 09:12:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21588,/competitions/expedia-hotel-recommendations,37th
/tengyuan,How to a convert numeric vector into characters?,"The prediction I got is a numeric vector, for example, test = [0.1, 0.3, 0.6, 0.8] copy Since the output is supposed to be either 'Republican' or 'Democrat', How do I convert the numeric vector into characters? For example, test = ['Democrat', 'Democrat', 'Republican', 'Republican'] copy Thanks!",0,None,1,Sat Jun 11 2016 10:37:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21590,/competitions/can-we-predict-voting-outcomes,1164th
/swapniljariwala,Kaggle API for data download and submission,"I regularly have to download data to my aws linux server or databrix instance, currently that process is not so nice i would say. I was contemplating of writing a a python package to do all this, with web parsing. But it would be nice if Kaggle can expose an API, Community can come up with some tools around it.",20,bronze,11,Sat Jun 11 2016 11:15:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21591,None,None
/neetika,Score display on public leader board is the final score of my team.Please reply,I have submit my submission two times.First time i got error and second time i got 0.62931 score on public leadership board.this is my final score.Please provide some information about submission.,0,None,3,Sat Jun 11 2016 15:46:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21597,/competitions/can-we-predict-voting-outcomes,1763rd
/zfturbo,Simple Bimbo Solution,It must be around LB: ~0.54,4,bronze,5,Sat Jun 11 2016 17:49:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21598,None,None
/lyytinen,What are we actually predicting here?,"This whole thing seems a bit strange to me. I might have misunderstood something so please enlighten me and tell me where I go wrong. First of all, the fact that Grupo Bimbo has to refund store owners for unsold products is a bit surprising. Is it really so that Grupo Bimbo gets to choose the quantity of products to deliver but then has to refund if they over-deliver? Assuming that I got the first part correct, I really have to ask what are we actually modeling here? I mean the task is to create a model ""to accurately forecast inventory demand"". The demand for a product is ""defined as the sales this week subtracted by the return next week"". But, in our training data, ""sales this week"" is actually an educated guess done by a random Grupo Bimbo employee. Right? And if there are no returns next week, this guess is also accepted as the correct ""demand"". But what if the real demand was actually higher than that and the consumers indeed were staring at empty shelves? The training data does not tell us anything about this. Assume that you still manage to build a model that perfectly predicts the actual demand and therefore maximises Grupo Bimpo profits. That model now gets penalized in the cases where the guess done by the Grupo Bimbo employee was lower than our perfect prediction. So to build a winning model for this competition you instead have to predict what Grupo Bimbo employees predicted in the past.",19,gold,15,Sat Jun 11 2016 20:21:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21601,/competitions/grupo-bimbo-inventory-demand,1009th
/maabdullah47,Get Face and Hands,"Thank you for your post I had 2 problems on the following 2 line: Error 1: colors <-read.table(header=TRUE, sep="","", text="" r,g,b 0.1,0.1,0 0.2,0.2,0.1 0.3,0.3,0.3 0.3,0.3,0.2 0.4,0.4,0.3 0.4,0.4,0.4 0.2,0.1,0.1 0.5,0.5,0.4 0.3,0.2,0.2 0.4,0.5,0.4 0.9,1,0.9 0.6,0.7,0.7 0.5,0.5,0.3 0.4,0.7,0.8 0.6,0.6,0.5 0.4,0.3,0.3 0.5,0.5,0.5 0.7,0.7,0.6 0.5,0.4,0.3 1,1,0.9 0.8,0.8,0.7 0.5,0.4,0.4 0.6,0.6,0.4 0.4,0.3,0.2 0.8,0.9,0.9 0.5,0.6,0.5 0.6,0.6,0.6 0.6,0.7,0.6 0.7,0.7,0.7 0.7,0.8,0.7 0.7,0.7,0.5 0.9,0.9,0.8 0.8,0.9,0.8 0.7,0.6,0.5 0.8,0.7,0.6 0.6,0.5,0.4 0.9,0.9,0.7 0.8,0.8,0.6 0.8,0.8,0.8 0.9,0.8,0.7 0.8,0.7,0.7 0.9,0.9,0.9 0.9,0.8,0.8 0.8,0.7,0.5 1,0.9,0.9 "") Error detail: Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 46 did not have 3 elements Error 2: print(""Original image"") display(x) ## Original image ------> Error here The Error Detail: Error in writeFun(.getFrame(x, i, ""render"", colormode), files[i], …) : cannot open file 'C:/Users/Mohammad/Documents/R/win-library/3.2/png/R/png.rdb': No such file or directory In addition: Warning message: In writeFun(.getFrame(x, i, ""render"", colormode), files[i], …) : restarting interrupted promise evaluation Please advise",0,None,2,Sat Jun 11 2016 21:28:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21604,None,None
/sharathlives,Reading Data,"I want to read data directly from the url without saving the files into my disk. I am getting an error: Error in open.connection(file, ""rt"") : cannot open the connection In addition: Warning message: In open.connection(file, ""rt"") : cannot open zip file '/tmp/RtmpmUp42a/file255a3b8d714' This is the code I am using: temp <- tempfile() download.file(""https://www.kaggle.com/c/grupo-bimbo-inventory-demand/download/town_state.csv.zip"",temp) data <- read.table(unz(temp, ""town_state.csv"")) Does anyone know what is wrong? As an additional question, how are most people reading in the data? Are you downloading on your local machine and reading into an IDE like R Studio?",0,None,3,Sat Jun 11 2016 22:35:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21605,/competitions/grupo-bimbo-inventory-demand,934th
/rpurcell,Leakage ,"I wanted to clarify what is considered leakage in this challenge and how people are avoiding it. My understanding of leakage in the context of this competition is as follows… To avoid leakage you should train your model on only data that occurs before the shot you are predicting. This means that you will need to train many models potentially as many as one model for each shot, using all data occurring before that shot. From looking at the scripts that have been posted it seems that many people are fitting a single model to the entire data set and ignoring the leakage problem. I am curious to what extent the leaderboard contains models that have leakage and how everyone is personally taking handling the leakage issue. For my own submissions I have segmented the data by season and month and fit a new model for each month using the data from prior months.",5,bronze,1,Sat Jun 11 2016 22:58:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21606,/competitions/kobe-bryant-shot-selection,595th
/speculation,1st Place Solution Summary,"I'd like to note that I'll be donating 10% of the prize to the American Cancer Society in honor of [Link]:https://www.kaggle.com/leustagos. He was always an inspiration to me here on Kaggle. In terms of the solution, let me describe a couple of the components before getting into the model. Distance Matrix Completion The idea was to map users and hotels to locations on a sphere. If we can do this successfully, then we can 'widen the leak' not just to previously occurring distances but to potentially any example where the distance between user and hotel is known. One immediate issue with this approach is the question of what combinations of columns to use in uniquely identifying user and hotel locations. For users, the tuple U=(user_location_country, user_location_region, user_location_city) was a natural choice. For hotels things are less clear. Two parallel notions of hotel location were developed H1=(hotel_country, hotel_market, hotel_cluster) and H2=(srch_destination_id, hotel_cluster). Both the H1 and H2 versions were used as features and the final model was relied upon to sort out which was more useful. For both H1 and H2, user and hotel locations were randomly initialized on a sphere and gradient descent was applied to the [Link]:https://en.wikipedia.org/wiki/Great-circle_distance#Formulas on the distinct combinations of (U, H, orig_destination_distance). Convergence for the gradient descent was not quick at all. Using nesterov momentum and a gradual transition from squared error to absolute error, the process took about 10^11 iterations and 36 hours. In the end, the average errors for H1 and H2 were around 1.8 and 3.7 miles respectively and I'm looking forward to finding out what tricks the other teams had here. Factorization Machines These tend to pick up on interactions between categorical variables with a large number of distinct values. The hope was that they would find some user-hotel preferences in-line with Expedia's description of the problem. The implementation used was [Link]:http://www.csie.ntu.edu.tw/~r01922136/libffm/. For each of the 100 hotel clusters, a seperate factorization machine model was built using the categorical features in the training set. The attributes for each model were the same but the target for k-th model was an indicator of whether the hotel cluster was equal to cluster k. These FM submodels added about 0.002 to the validation map@5. Aside from leak related features, these provided the most lift over the base click and book rates. Training/Validation Setup The strategy here was to build a model on the last 6 months of 2014, from '2014-07-01' onwards. In order to mirror the situation in the test set, the features used to train the model were generated using only hotel cluster and click data prior to '2014-07-01'. When scoring the model for the test set, all the features were refreshed using all available training data. A portion of the user_ids from '2014-07-01' onward was set aside as validation. This did not line up precisely with the leaderboard, but it probably agrees directionally. Learn-to-Rank Model In order to turn this into an xgboost ""rank:pairwise"" problem, each booking in the training sample was ""burst"" into 100 rows in the training set. The features for each row were generated relative to the corresponding cluster. The features input into the model were essentially the historical book and click rates, distances derived from the matrix completion, and the factorization machine scores. So, the i-th row corresponding to the j-th booking would be something like: the historical click and book rates of cluster i for someone having the attributes of the j-th booking the difference between the matrix completion predicted distance and the distance provided for the j-th booking the factorization machine score for the i-th cluster based on the attributes of the j-th booking. For the final scoring, the test set is also ""burst"" into 100 rows per booking instance and each booking-cluster combination provides a score. The top 5 scoring clusters per booking are submitted as the solution. A few details were left out in the interest of brevity as this post is already quite long, but the above more or less summarizes the ideas in play. I'm looking forward to hearing about the approaches of the other teams.",159,gold,33,Sat Jun 11 2016 23:57:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21607,/competitions/expedia-hotel-recommendations,1st
/mikeskim,Can't download script submissions from https://www.kaggle.io/svf/,"I can't seem to download ready made script submissions on the current Facebook competition. For instance, I tried to download this file: [Link]:https://www.kaggle.io/svf/262245/0e0d84a8527782643d0d89969a4f974e/sub_knn.csv from [Link]:https://www.kaggle.com/apapiu/facebook-v-predicting-check-ins/grid-knn-mins/run/262245 And I'm unable to download this file via Chrome and Firefox. I'm not sure if I'm the only one or if this is a server issue on the Kaggle end.",0,None,2,Sun Jun 12 2016 00:33:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21608,None,None
/minniekabra,TotalTrash,"Hi Jack, I have read both the codes of yours. However, as you are using curve fit(in testdata ) to get the coefficients of func and func2, the training dataset is not being used. Am I going in the right direction in understanding your code? I am more acquainted with standard ML Algorithms, do you have some paper which gives clues to solve such kind of problems? Regards, Minnie Kabra",0,None,1,Sun Jun 12 2016 01:03:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21609,None,None
/ambaphar,error submitting sample!,"train = read.csv(""train2016.csv"") test = read.csv(""test2016.csv"") SimpleMod = glm(Party ~ . -USER_ID, data=train, family=binomial) PredTest = predict(SimpleMod, newdata=test, type=""response"") threshold = 0.5 PredTestLabels = as.factor(ifelse(PredTest<threshold, ""Democrat"", ""Republican"")) mysubmission = data.frame(USER_ID = test$USER_ID, PREDICTION = PredTestLabels) write.csv(mysubmission, ""kagglesample.csv"", row.names=FALSE) That's what I copied from the example. Then, I submit the Rscript named ""kagglesample"" and I get an error that: ERROR: Column 'train = read.csv(""train2016.csv"")' was not expected (Line 1, Column 1) ERROR: Required column 'USER_ID' could not be found ERROR: Required column 'Predictions' could not be found. What am I doing wrong?",0,None,7,Sun Jun 12 2016 01:16:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21610,/competitions/can-we-predict-voting-outcomes,2477th
/alexmaldon,NAs in RandomForest and NULL predictions !!! ,"I would appreciate any help about three related questions: First problem: I have run a RandomForest and have got this null result (being 'test_RF_predicc' the RandomForest predictions) : > table (test$Party, test_RF_predicc) test2_RF_predicc Democrat Republican copy Democrat 0 0 Republican 0 0 but when I look at the predictions vector, they DO exist data, with lots of NA but data at least !! > table (test_RF_predicc) test_RF_predicc copy Democrat Republican 368 362 How could it be possible ?? Second problem: Just a doubt, shouldn't the RandomForest algorithm gives a prediction FOR ALL the rows (even if there are NAs on the original dataframe?? Why am I getting so much NAs (I even did imputation,..) ?? Third problem: I have created a simple vector to check RF predictions and I get NAs on the rows that correspond with the rows having in the index row number of the vector (first column of the code below) wOOw I have never seen this and don't know how to manage for solving the NA results. intento <- cbind (test$USER_ID, test_RF_predicc) head(intento) USER_ID test_RF_predicc copy 55651 2 1 55661 3 2 NA 6 NA 55681 7 1 NA 14 NA 5570 28 1 NA.3 16 NA NA.43 113 NA Do you know why appeare this indexrow (NA.43) ?? THANK YOU VERY MUCH IN ADVANCE !! Getting crazy, just one night left and anything useful to submit :(( Alex",2,None,1,Sun Jun 12 2016 02:16:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21611,/competitions/can-we-predict-voting-outcomes,2794th
/subhashishgupta,Combining TestLabels for subsets,"I split the test data set into subsets and made the predicted test labels. Now I want to get the combined test labels set, which should be the union of all the subsets. I can't figure out how to do this. Tried bind, merge, c and so on to no effect. Any help will be highly appreciated.",0,None,1,Sun Jun 12 2016 08:30:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21613,/competitions/can-we-predict-voting-outcomes,None
/javads720,hack,how i can hack,-5,None,1,Sun Jun 12 2016 09:02:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21614,/competitions/grupo-bimbo-inventory-demand,None
/mfagerlund,A List of Counter Features and Their Strengths,"As a part of my evolving a strategy for this competition, I created a huge number of features that I evaluated for their total and specific strength. Total is how well the feature would do on its own. Specific is how well the feature does measured only on the rows it made predictions. I found that grouping by month, orig_destination_distance, srch_destination_id was the most exact predictor I was able to find, it had a specific score of 0.9044 in my validation set. But it didn't make many predictions so it wasn't super strong. I should have used it in my final submission though, stupid of me not to. The strongest non leaky feature I was able to find was grouping on ""hotel_country, hotel_market, srch_destination_id"" which gave me 0.3131 specific and 0.3106 total. I did have slightly better ones, but the used PCA data from the destinations file, and not everyone had that. Here's a link to a spreadsheet of some of the different features I tried. I had other features (like day of week for ci/co/book, hour of book, stuff like that). But since all individual features permute with all other individual features, the number of permutations exploded and I got rid of the weakest individual features along the way. [Link]:https://docs.google.com/spreadsheets/d/1Y_jLHZXmVa5hmwkrvysOhaK5u5Vx0FV-VMApmHN1_CE/pubhtml",3,bronze,9,Sun Jun 12 2016 09:30:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21615,/competitions/expedia-hotel-recommendations,6th
/ianlokh,Is the data for 2016?,"Hi all Would like to check if anyone can confirm if the data is for 2016? If not, which year does this data belong to? Ian",0,None,1,Sun Jun 12 2016 11:13:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21618,/competitions/grupo-bimbo-inventory-demand,1245th
/laurae2,Interpretation/Overview of the flow,"(look at the bottom of this post for the picture overview) N.B: still pending: returns next week interpretation. Used only Sales_Depot_ID < 1120 (2.7M rows) to understand how the data is structured, in addition to the instructions provided in the Data page. A picture is better than a thousand words here. I might be wrong on some parts (and there are parts I am guessing what is missing), I just made it very quickly to get an overview. I used simple knowledge from Accounting Management for this (it seems to be a very simple task, except you have Products showing up out of nowhere you must take care of). Some products are interchangeable just by a multiplier. As the returns is delayed by 1 week (obvious and typically normal for that), it is not practical to use the first week as training. Either you lag everything by 1 week (which is feasible but you'd still lose 1 week in training), either you find a way to incorporate N-1 information in the first week which is not provided (which requires forecasting and potentially biases your final model). I think a good starting model would encompass: By Depot_ID By normalized + aggregated type of product (pasta weight in grams, breakfast chocolate in grams, etc.) By exploiting the potential of forecasting the initial stock for the first week (the latter could have a very large impact on the model) i.e better work on the products first than working on forecasting straight away. A good product dictionary should blow up a best dumb model by far in the experiences I had in forecasting stock in businesses. However, overfitting is a serious issue here due to the time size. Just looking at the data and testing some ""dumb"" models, a model loss of an additional (+-)35% can hold true (like: last week -> Public LB (Public LB is week N+1?) ), but the average should lower this variation by far enough. If you go pure mathematical methods (own customized ML methods), try to aim under a relative 35% error at least (same threshold of a dumb model) for each week. The error should average out under 35% error thanks to the highly demanded products. (Someone can verify the threshold of 35%? I used only 2.7M rows.) As typical for commodities provisioning, it is better to over-provision (one-sided loss: pick back products and re-sell their elements for money) than under-provision (two-sided loss: for the client and for the provider) the stock. Thus the RMSLE which [Link]:https://www.kaggle.com/laurae2/grupo-bimbo-inventory-demand/rmsle-loss-spread/output under-provisioning (higher cost) than over-provisioning (lower cost). Those who use xgboost (or any method which can change the loss function): don't forget to set the loss function accordingly (and to cap the lower tail which makes the gradient explode). [Image]:https://www.kaggle.com/blobs/download/forum-message-attachment-files/4405/Overview.JPG [Link]:https://www.kaggle.io/svf/263543/6fe217db54b5279358d04b36a1f5db85/Rplot001.png [Link]:https://www.kaggle.io/svf/263543/6fe217db54b5279358d04b36a1f5db85/Rplot002.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/123516/4405/Overview.JPG",14,gold,3,Sun Jun 12 2016 14:27:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21620,/competitions/grupo-bimbo-inventory-demand,None
/ambaphar,submission error,"Just trying to submit a basic glm model: alltrain=read.csv(""train2016.csv"") final=read.csv(""test2016.csv"") alltrain1=subset(alltrain,YOB>=1928&YOB<=2003) baseglm=glm(Party~.-USER_ID,data=alltrain1,family=binomial) predbaseglm=predict(baseglm,type=""response"", newdata=final) PredTestLabels = as.factor(ifelse(predbaseglm<0.5, ""Democrat"", ""Republican"")) MySubmission= data.frame(USER_ID = final$USER_ID, Predictions = PredTestLabels) write.csv(MySubmission, ""submission2baseglm.csv"", row.names=FALSE) copy Then I upload the R file titled ""submission2baseglm"" and the error msg I get: Column 'alltrain=read.csv(""train2016.csv"")' was not expected (Line 1, Column 1) Required column 'USER_ID' could not be found Required column 'Predictions' could not be found Please help. I have other models as well, but I haven't been able to submit any of my work, even the sample is not working for me.",0,None,5,Sun Jun 12 2016 17:02:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21622,/competitions/can-we-predict-voting-outcomes,2477th
/arunsadhasivam,How people learn to code,FCC means,2,None,5,Sun Jun 12 2016 17:50:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21623,None,None
/scienceofpoli,Where is run button on kaggle?,"Hi, let say I want to run demo script [Link]:https://www.kaggle.com/domcastro/introducing-kaggle-scripts/hello-world-the-data-science-way I dont find run button that will train the model and give me result. Should I copy paste the code and run locally? I read that kaggle is a tool where we can run directly R or Python code. Please help. I am new to kaggle, but not in data science.",0,None,2,Sun Jun 12 2016 18:08:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21624,None,None
/mlandry,H2O GBM,"This version (8) scores 0.66175 on the leaderboard, which is similar to validation performance (sqrt of 0.41=0.64).",0,bronze,17,Sun Jun 12 2016 18:36:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21625,None,None
/shaildeliwala,Analysis on GoT Battles(Kaggle Script of the Week),"Thanks for the attribution, [Link]:https://www.kaggle.com/Gowri! It's cool how you have included quotes and bits of backstory from GoT that provide context to the analysis.",2,bronze,2,Sun Jun 12 2016 21:11:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21626,None,None
/slaruns,Error while submission,"I have the csv file log create with USER_ID and Predictions created and the values have comma separated. Infact, my log has 1392 rows except the header. But I get error message as below, pls help ERROR: Unable to find 1392 required key values in the 'USER_ID' column ERROR: Unable to find the required key value '2' in the 'USER_ID' column ERROR: Unable to find the required key value '3' in the 'USER_ID' column ERROR: Unable to find the required key value '6' in the 'USER_ID' column ERROR: Unable to find the required key value '7' in the 'USER_ID' column ERROR: Unable to find the required key value '14' in the 'USER_ID' column ERROR: Unable to find the required key value '28' in the 'USER_ID' column ERROR: Unable to find the required key value '29' in the 'USER_ID' column ERROR: Unable to find the required key value '37' in the 'USER_ID' column ERROR: Unable to find the required key value '44' in the 'USER_ID' column.",0,None,2,Sun Jun 12 2016 22:16:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21628,/competitions/can-we-predict-voting-outcomes,2818th
/overfit,grid_knn,"Thanks [Link]:https://www.kaggle.com/Sandro for [Link]:https://www.kaggle.com/svpons/facebook-v-predicting-check-ins/grid-knn/ great script. Never thought that there is a way to finish in 20 min under 8GB RAM. Here are some small improvements that I made: Original: 0.56736 Version 03 (drop ""day""): 0.56885 Version 01 (drop ""day"" + change number of y grids to 20): 0.56930 Version 21 (drop ""day"" + rough time estimation): 0.56911 Version 23 (drop ""day"" + rough time estimation + border augmentation): 0.57068 Version 26 (drop ""day"" + float representation): 0.56907 Version 34 (drop ""day"" + float representation + add minute to hour): 0.56987 Version 28 (drop ""day"" + float representation + add minute to hour + change number of y grids to 20): 0.57031 Version 36 (all above): 0.57200 Version 42 (all above + accuracy filter): 0.57157",7,silver,16,Mon Jun 13 2016 04:00:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21629,None,None
/thanish,Exponential in ID column of sub while writing csv in R,"Hello all, I am using R and when I try to write my submission dataframe using write.csv of the test_data id, Demanda_uni_equil I am getting exponential values for the ID's like 1e+05 for 100000 2e+05 for 200000 and 1e+06 1000000 and so on. When i try submitting in Kaggle the submission failed like incorrect ID column found as 1e+05 when expected is 100000. So I have to manually open the submission file in a notepad and replace the e+05 and e+06 with the respective number of zeros. Is any one else experiencing the same thing ??? Is there a work around for this ????",0,None,2,Mon Jun 13 2016 07:46:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21632,/competitions/grupo-bimbo-inventory-demand,1385th
/anantgupta,Sentiment Analysis: 3 different methods,"Hi Anna, Can you provide the implementation or the documentation path for the functions ""get_sentiment"" Is it part of the syuzhet package? Regards, Anant",0,None,2,Mon Jun 13 2016 09:50:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21633,None,None
/dciccola,Anybody used Kmeans with succed?,"We are almost on deadline, and since i have built many models and feel completely frustrated, would like to know if someone have got good results by using kmeans clustering. I have to say that did not like at all this competition, since most of the good performance lies on pre-procesing the data, which in my opinion was not enough covered on the course. I have built models with even 10 clusters and get no good results at all, sometimes i get 70% accuracy in one cluster but 60% on the others. Can't understand anymore.",1,None,14,Mon Jun 13 2016 11:48:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21634,/competitions/can-we-predict-voting-outcomes,2178th
/aelena1,Submission errors - nr. of columns and train set USER_IDs,"Hi, why would this type of error occur - ""Record 1 had 1 column but expected 2""? I have followed the lines of code suggested and my output .csv file looks actually very similar to the Submission sample (i.e. having 1 column?) However, the commands seem to add the train set USER_IDs underneath (and in continuation to) the test set ones, within the same column. Many thanks in advance for your suggestions, A.",1,None,2,Mon Jun 13 2016 12:06:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21635,/competitions/can-we-predict-voting-outcomes,2030th
/guiabg,Simple City Data Cleaning and Analysis,"Hi Laura, Thanks for you code, it's very helpfull. Here is another way to compute the range, in case of. RangeTemp = max(AverageTemperature) - min(AverageTemperature)) copy Could be replaced by : RangeTemp = diff(range(AverageTemperature))",1,None,2,Mon Jun 13 2016 12:12:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21636,None,None
/laurae2,About cliente_tabla.csv duplicates,"cliente_tabla.csv contains the names of the clients against a key ID. There are duplicates, and you may wonder why. It is probably just a merge error for some of them. There are exactly 4862 duplicates by key: Each pair of duplicate have a normal version of the client name Each last duplicate name is previously followed (the line before) by the same client name but with double spaces Examples (ID: 2858, 3240): 2858 MISC RAMIREZ 2858 MISC RAMIREZ 3240 HNOS AMADO 3240 HNOS AMADO copy To find out the duplicates (if you need them), use the following script: clients <- fread(""cliente_tabla.csv"") colnames(clients) <- c(""Client_ID"", ""Client_Name"") client_list <- clients %>% count(Client_ID) client_list[n > 1] copy Also, some clients may appear several times if they have several homes. Some competitors might also have the same name. This is normal in a country to have a business running under the same name as another one, or to have multiple homes (although you probably pay more local taxes in the latter :p). Regarding the latter, you have 35328 client names that are duplicated (not Client ID, i.e we do not take into account the double spaces) which you should not worry at all. In total, there are 311155 different clients (when including double space errors). One client name appears 281670 times, which is ""NO IDENTIFICADO"". Regarding those who appear more than 2000 times: Client_Name n (chr) (int) 1 LUPITA 4863 2 LA PASADITA 2426 3 MARY 3016 4 LA VENTANITA 2267 5 NO IDENTIFICADO 281670 copy Run the following script to find the duplicate client names: clients <- fread(""cliente_tabla.csv"") colnames(clients) <- c(""Client_ID"", ""Client_Name"") client_list2 <- clients %>% count(Client_Name) client_list2[n > 1] copy Lupita is a well known mexican restaurant. Having it showing itself 4863 times in the data set is normal. What I wonder is about the exploitation of this set of information. Such as: Grouping by business sector? Restaurant, shop..? Probably unfeasible due to the amount of clients you are looking at (~310K) Grouping by business type? (Limited, not limited, local, etc.) Probably not feasible too.",4,bronze,1,Mon Jun 13 2016 13:41:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21637,/competitions/grupo-bimbo-inventory-demand,None
/maabdullah47,SF_Try1,"When we run the following lines: pca=TRUE if (pca) { cat(""do ICA with 64 components\n"") date() preProcValues <- preProcess(train[, feature.names], method = c(""ica""), n.comp=64) train1 <- predict(preProcValues, train[, feature.names]) train <- data.frame(SUBJ=img_list$subject, IFILE=img_list$img, TARGET=as.numeric(factor(img_list$classname))-1, train1) feature.names <- names(train)[4:ncol(train)] } It gives the following error: Error: cannot allocate vector of size 128.0 Mb In addition: There were 12 warnings (use warnings() to see them)",0,None,5,Mon Jun 13 2016 14:16:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21638,None,None
/nigelcarpenter,R medians,"For those that prefer R to python, I've taken the ideas from Abhishek Malali's python script and converted to R. Runs within Kaggle scripts memory and time limits and gives a 0.50758 leaderboard score, which is not bad at the time of writing…!",11,gold,9,Mon Jun 13 2016 14:23:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21639,None,None
/anoopkulkarni,Learnings,"For almost a month, used all kinds of data imputation techniques, feature selection approaches, engineered a few variables, applied at least 15 different models and yet didnt make the jump interms of categorization accuracy. I had one attempt left for the day and decided to try a ridiculous approach of taking the train and test datasets. Dropped the YOB variable, applied no imputation. No variables were touched. Used a generic simple logistic regression model with all variables considered independent and ended up with a score of 0.62 !!! There lies the learning and the story of the competition. Learnt it :) ~anoop",0,None,1,Mon Jun 13 2016 14:28:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21640,/competitions/can-we-predict-voting-outcomes,430th
/dmi3kno,Additional datasets to analyze Zone information,"Myles, See if you want to add the following tables to this dataset zones.csv - contains zone information with the following fields: Zone_Name - name of the zone as appears in the original dataset Continent - name of the parent continent Area - name of the parent area (part of continent) Zone - name of the zone (or name of the parent zone for subzones) Subzone - name of the subzone (or alternative name for the zone) Type - type of the zone (e.g. Zone, Dungeon, Battleground, etc) Controlled - specifying the faction controlling the zone (Alliance/Horde/Contested) Min_req_level - minimum required level to enter the zone (relevant for Dungeons) Min_rec_level - minimum recommended level (according to wiki sources) Max_rec_level - maximum recommended level (according to wiki sources) Min_bot_level - minimum level for bots in the zone Max_bot_level - maximum level for bots in the zone locations.csv - information about locations (maps) used in the game (according to wiki) Map_ID - Map code (also sometimes referred to as Continent ID) Location_Type - Type of location (Contitnent, Arena, Dungeon, etc) Location_Name - Location name (zone/area/continent/dungeon name) Game_Version - version of the game when this location was introduced location_coords.csv - table with locations and their coordinates in the game (coordinates are relevant within the Map_ID): Location_Name - description of location Map_ID - reference to Map_ID in locations.csv X_coord, Y_coord, Z_coord - coordinates within the map Note that some zone names contain Chinese characters. Unicode names are preserved as a key to the original dataset. What this addition will allow is to understand properties of the zones a bit better - their relative location to each other, competititive properties, type of gameplay and, hopefully, their contribution to character leveling. Hope you find it useful. PS: Location coordinates contain some redundant (and possibly duplicate) records as they are collected from different sources. Working with uncleaned location coordinate data will allow users to demonstrate their data wrangling skills (both working with strings and spatial data). Update: fixed the encoding of zones.csv file, corrected decimal separator in location_coords.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/123684/4406/locations.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/123684/4407/zones.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/123684/4408/location_coords.csv",1,bronze,5,Mon Jun 13 2016 15:12:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21641,None,None
/adamwoz,Thank you,"Hi all, Thank you all for participating and submitting results. Big congratulations to the wining teams! We hope this was an interesting and fun contest. To make our next contest better we would appreciate if you could spend a couple minutes of your time completing the following survey: [Link]:https://www.surveymonkey.com/r/LK7J3CZ . Finally, we are always interested in speaking to talented data science individuals, especially those with practical relevant machine learning experience. We currently have several open positions for data scientists (senior and junior levels) in various locations. If interested, please refer to our job listings on [Link]:http://www.lifeatexpedia.com/. Thanks! Adam",6,silver,1,Mon Jun 13 2016 15:55:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21642,/competitions/expedia-hotel-recommendations,None
/martindau,rattle() : Anyone getting mileage out of this package?,Fascinating and inspirational discussions all around. Just curious whether anyone has any feedback about using the rattle() package for analysis. Seems like a convenient & useful means of comparing a few models and possibly tweaking settings as required. Any comments appreciated. (e.g. Is it widely used or considered outdated? Other similar packages (RWeka etc.?) Limitations? Workflows? Cheers.,0,None,1,Mon Jun 13 2016 17:20:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21643,/competitions/can-we-predict-voting-outcomes,1302nd
/bctweardy,Advice for switching career to data science,"I am currently working on making a complete career change to data science from for lack of a better term, ""business."" Since earning my bachelor degree in business administration, I've spent the last 8 years with the same company moving up through their management training program to becoming an asst. store mgr, store mgr, and currently an outside sales representative. What I've done over the last two years is learn R, Python, and SAS. I have certifications 8 of the 9 Cousera Data Science certifications that are part of the Data Science Specialization Certification program. Now, I am half way to earning my masters degree in data science through the Master of Science in Data Science online program at Southern Methodist University. I will graduate in May 2017. My challenge is how to best express my new skills in order to break into the new career path. I want potential employers to see on my resume that I have business experience as I think it plays to my ability to understand that side of things, but I certainly don't want to focus on it more than a few lines in a resume. Do I include this experience at all? Any recommendations and/or advice is appreciated. Any advice",0,None,3,Mon Jun 13 2016 17:54:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21644,None,None
/nedelko,Best solution without any widening of the leak,"I'm very surprized that yet nobody started such a topic. Could somebody share the scores obtained without any further leakage exploration (widening the leak, full leak etc.)? I will be impressed if somebody could achive 0.52 on LB without any widening of the leak.",1,bronze,10,Mon Jun 13 2016 20:16:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21646,/competitions/expedia-hotel-recommendations,3rd
/eddyod,simple_median.py,Very simple median script. Gets 0.52718 on the LB.,1,bronze,1,Mon Jun 13 2016 21:37:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21647,None,None
/blindape,Validation framework benchmark,"I set the grid as: train[, x_cell := pmax(ceiling(x * 4), 1L)] train[, y_cell := pmax(ceiling(y * 4), 1L)] and split train and hold [Link]:https://www.kaggle.com/614127 (this reproduce exactly the same proportion in tran - hold as we have in train - test): train[, hold := as.integer(time > 614127)] With this validation framework I'm playing with one of the more difficult (I think) square: x_cell = 21 y_cell = 27 This square have the max place_id diversity. The hold part of this square has 5357 rows. My cv score in this is 0.5463. Nice to hear your scores.",1,bronze,13,Mon Jun 13 2016 21:39:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21648,/competitions/facebook-v-predicting-check-ins,55th
/ajohrn,Product File Information and Assumptions,"The file with product metadata have rows typically like these: 49769 Sidral Mundet Lata 355ml CC 49769 49773 Bombonete San Valentin 3p 55g MLA 49773 49779 Tortillinas 22p 570g NW MTA TR 49779 copy First question: I interpret this as ""<name> <number of pieces> <volume/weight> <?> <ID>"". I can't figure out the meaning of the characters CC, MLA, MTA etc. Any help to interpret this? Second question: As stated in the goals, we are required to make predictions for products not in the training set. However, can we assume that any new product for which forecasting is needed, that we have the product metadata of the format above?",0,None,6,Mon Jun 13 2016 22:24:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21649,/competitions/grupo-bimbo-inventory-demand,None
/wendykan,Results are final,"Thank you all for your participation in Expedia Hotel Recommendations competition. The results are now final, and cheaters are removed from the leaderboard. If you think you have been removed by mistake, please contact our [Link]:https://www.kaggle.com/compliance team and make sure you answer the questions. Big congrats to the winning teams! We hope to see you on Kaggle more.",15,bronze,2,Mon Jun 13 2016 23:10:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21650,/competitions/expedia-hotel-recommendations,None
/mahashraya,Prediction results table has twice as many values,"So, I made a data frame with my results as follows: Results = as.data.frame(table(test$USERID, predLog >= 0.45) For some reason, the resulting data frame has 2784 results, with columns ""Var1"" ""Var2"" and ""Freq"". I'm pretty sure Var2 is my answer (""Democrat"" ""Republican"") but it just comes up as FALSE for the first 1392 observations and TRUE for the second 1392 observations. Anyone get the same problem?",0,None,1,Tue Jun 14 2016 01:13:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21651,/competitions/can-we-predict-voting-outcomes,2484th
/l3awd76,A typical approach for this competition,"I would be very grateful and it will be very helpful if an instructor gives us a typical approach, without necessarily going through details, to get a ""decent"" rank in this type of competitions. Many thanks.",1,bronze,3,Tue Jun 14 2016 01:39:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21653,/competitions/can-we-predict-voting-outcomes,2428th
/erickgordon,Some leader shares his algorithm? :),It was fun .. but for those who did not manage a good result would be interesting to see how to solve,3,None,8,Tue Jun 14 2016 02:11:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21654,/competitions/can-we-predict-voting-outcomes,1756th
/baleia,What method you used?,"And what was your score on the private leaderboars? The method I used was Logistic Regression and I did nothing to the data, my score on the private leader board was 0.65086 I used the following independent variables: Q101163 + Q102089 + Q105840 + Q108617 + Q109244 + Q113181 + Q115611 + Q115899 + Q120379 + Q120650 + Gender + Income + HouseholdStatus + EducationLevel And a threshold of 0.48",14,bronze,46,Tue Jun 14 2016 02:14:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21655,/competitions/can-we-predict-voting-outcomes,65th
/ciambrano,Public vs Private boards? ,"I just noticed there are two leaderboards, one public and one private. In addition, my scores are different for each board. Why are the scores different?",0,None,3,Tue Jun 14 2016 02:33:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21656,/competitions/can-we-predict-voting-outcomes,1292nd
/hannesryden,Data leak - How to get a score of 0.9,"Here's a R-script that utilizes the data leak that was discovered in [Link]:https://inclass.kaggle.com/c/can-we-predict-voting-outcomes/forums/t/21338/drastic-improvements. I tried submitting this after the competition had ended and got a score of 0.90230 on the private leaderboard, which would have placed me on 9:th place. Feel free to try it out (you can still upload submissions). The script basically merges the answers from a [Link]:https://www.kaggle.com/c/the-analytics-edge-mit-15-071x that used the same data but made predictions on another variable. Because this old data contained the Party variable in both the train and test set, it basically gave away the answers to most of the submission rows in this competition (although a few were not included). The data files from the old competition can be found [Link]:https://github.com/bobbruno/Analytics-Edge/tree/master/%20Kaggle%20Happiness%20Predictor. I personally don't care at all if some people used this to get their high scores. Although morally questionable, the rules do not forbid it and I can see why some people would experiment with anything they find out of curiosity. It's also hard to undo once you've uploaded a submission with it. However, I'm glad that it became public knowledge, so that it can hopefully be avoided in the future. Now I'm hoping that some people who did not use this data but still got high scores would share their methods. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/123796/4409/dataleak.r",17,bronze,45,Tue Jun 14 2016 03:41:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21660,/competitions/can-we-predict-voting-outcomes,377th
/wynnie,Score of 0.674,"This is the method that I used for a score of 0.674 on the leaderboard. Impute all demographic data (not the question data) with MICE and Amelia. I did about 15 imputations with each package with different seeds and averaged the predictions. EDIT : I also added a couple of new features, % of unanswered questions and % of ""Yes"" questions which turned out to be significant predictors. Choose a set of questions based on logistic regression importance and my reading of the questions. Final set used was all demographic data along with : ""Q96024"" ""Q98197"" ""Q98869"" ""Q99480"" ""Q101163"" ""Q106272"" ""Q108617"" ""Q108754"" ""Q108855"" ""Q109244"" ""Q110740"" ""Q112512"" ""Q113181"" ""Q114152"" ""Q114961"" ""Q115195"" ""Q115610"" ""Q115611"" ""Q115899"" ""Q116601"" ""Q116953"" ""Q118117"" ""Q118232"" ""Q119851"" ""Q120379"" ""Q120472"" ""Q120650"" ""Q120194"" ""Q112478"" ""Q106389"" ""Q101596"" ""Q100689"" ""Q98578"" ""Q98059"" Created a set of 6 models RandomForest with 2601 trees SVM (no tuning) GLMNet XGBoost (tuned various parameters and recoded questions to -1,0,1) ADABoost (mfinal = 350) NaiveBayes Each one of these models was tuned with cross validation to find good set of parameters. I now stacked these models. This is an interesting technique I read about after I was pointed to it on the forum. Instead of averaging the predictions, stacking is supposed to improve the score by combining predictions of various ""different"" models along with the original data using another machine learning model. The model I used for stacking was GLMNet. It was a really interesting exercise. I learnt quite a bit from it, especially since every algorithm has different kinds of input and required a little pre-processing. I also was forced to develop a good cross validation framework to see if my efforts yielded an improvement. I was happy that my cross-validated results matched pretty closely with the final leaderboard, i.e a model that performed better in CV performed better in the final scoring. Of course there was the availability of the 2014 dataset. I think there is another post on this forum that shows how you can get a score of 0.9 with that. It was really simple to just strip away the user ID and check for duplicate rows and copy the Party information from the 2014 set into the 2016 test set. Will be great to hear about other's techniques.",36,gold,39,Tue Jun 14 2016 04:16:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21661,/competitions/can-we-predict-voting-outcomes,11th
/del=31266933b85a2395,Why stepwise didn't work?,"The competition is over and I'm curious whether anyone tried stepwise variable selection and has an explanation why it didn't work. At least didn't work for me even though AIC went down by quite a bit. In particular, I was very surprised to see that stepwise threw out the most highly correlated variable (Q109244; corr = -0.3392) from the model. Wondering how it could happen, as Q109244 brought the most of the predictive power to all models I tried (i.e. 69% of predictive power in my CART model). Any thoughts?",0,None,2,Tue Jun 14 2016 05:20:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21662,/competitions/can-we-predict-voting-outcomes,1984th
/del=3a1b5774ef84a227,Ethical considerations in participation,"Based upon the following article, I'm not sure that I feel comfortable participating in this contest. I am a Senior Data Scientist in real life and am well aware of the misuse of models that were built in good faith. My concern is that the model that we build can be utilized to expedite the euthanization of specific types of animals. As Data Scientists, we have a moral duty to ensure that our models are used to increase social positive good. We would greatly appreciate if someone from the ASPCA could provide us with some clarification as to what exactly this model will be used for, more specifically a statement that it will not be utilized to euthanize animals. [Link]:http://www.huffingtonpost.com/nathan-j-winograd/peta-aspca-hsus-shelters_b_2696911.html",6,bronze,6,Tue Jun 14 2016 07:24:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21663,/competitions/shelter-animal-outcomes,None
/tiany12,A hypothesis to improve the accuracy,"Did anyone tried to identify the distributions of some related questions? And fit a model with selected data from the training data whose distributions of related questions are similar with the distributions in the test data. I did not have enough entries to test my hypothesis, so I post it here to see if I can find an answer. The rationale beneath my hypothesis is that an important assumption of all machine learning algorithms is that the training data and testing data are i.i.d. distributed. If anyone have answers, please share with us if you don't mind.",0,None,1,Tue Jun 14 2016 08:07:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21665,/competitions/can-we-predict-voting-outcomes,1890th
/tonyliu,Wow Dataset - Exploratory Analysis,"You have done a great job in splitting the visNetwork visualisation for different levels! I also love your heat-map for play time. One thing that catches my eyes is the surge in new character activation (especially for warriors) in mid Oct., Anyone can remind me what happened back then?",2,bronze,10,Tue Jun 14 2016 09:54:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21668,None,None
/alexmaldon,Competition grading on Edx,"Hi guys !! Did you already get your grade on the Edx platform for the Kaggle competition ?? Do you know if everyone will get our score or just those who exceed certain score on the leaderoard ? Thank you everyone for sharing your knowledge on this thrilling competition, this kind of learning is addictive !! Congrats everyone, even being here it is a prize !!",0,None,5,Tue Jun 14 2016 09:55:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21669,/competitions/can-we-predict-voting-outcomes,2794th
/jyesawtellrickson,Linear Models Suck,"I see that a lot of people have been trying linear models, including the built in ones in Python/R. Sure, I understand that this will work in some cases but we are applying a continuous and approximate method to the discrete and exact problem of integer prediction. This just won't work in most cases, especially when you have big numbers and the least squares is less likely to land you in the correct spot due to rounding. With a simple least squares I can get ~15% but there's an issue with this evaluation metric compared to that used by Kaggle. Least squares will minimise the distance between prediction and target, e.g. guessing 11 for 12 is better than 2 for 12 but in the actual metric these are equally bad. Shouldn't we be using a harsher algorithm that penalises any mistake completely? Apologies for any nonsensical ideas.",5,bronze,6,Tue Jun 14 2016 10:39:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21671,/competitions/integer-sequence-learning,None
/ron318,Self-reflect after result released - Anybody also faced a large drop in accuracy % in private set?,"I scored 64.66% in public set but astonishingly low 61.2% in the private set. What I did was performed imputation using Mice on the full dataset, not just demographic information but also the questions. For the final model I chosen, it was just a GBM with around 10 features selected manually. Have I overfit the data? Anybody faced the same problem as well? Should I just treat the missing values as an answer instead? (yes/no/missing: 1/-1/0) Which method is better? To impute or not?",0,None,12,Tue Jun 14 2016 10:39:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21672,/competitions/can-we-predict-voting-outcomes,1933rd
/ajayjadhav,How to handle this much data in R,"Hello, I have machine with 8GB Ram but due to large size of data my machine not working properly. Any solution to this ? I am using R.",0,None,16,Tue Jun 14 2016 10:55:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21673,/competitions/grupo-bimbo-inventory-demand,None
/scirpus,GP II,"LB .60398 - still less than the .602x for the equivalent XGB but it uses 2150 sub-trees rather than 1000 for straight XGB so not too bad. I doubt very much that this will be correlated with your best model so an average (.7XGB+.3*GP)? of your best model with this model should improve your score. Apart from XGB - did anyone get close to this with other methodologies i.e. Random Forest, SVC, KNN etc? Please let me know",0,None,2,Tue Jun 14 2016 12:30:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21675,None,None
/svenmeyer,"reverse simple neural net , let it ""dream"" digits ","I implemented the classic example of digit recognition with a simple NN. 20x20 inputs , one hidden layer 25 neuron, 10 hot encoded outputs. After I managed to let the NN learn the digits, I wanted to do the reverse: Set one of the outputs to 1 and then calculate reverse the corresponding image, how the NN ""thinks"" this number looks like (in average). 1) I did the matrix calculations backwards and create an inverse sigmoid function. Unfortunately I ran into problems with infinity and devision by zero, so I added some saturation and minor offset to 0. Unfortunately with no good result. next try … replacing sigmoid with ReLU … but no useful result as well I tried ""leaky ReLU"" , but got problems with the cost function as it uses log-funtion which return negativ numbers. Even if a replaced the distance function by a squared sum, it did not help to produce the desired result. I did not use backpropagation, but fmincg which ""minimizes a continuous differentialble multivariate function"" maybe that's why it does not work with ReLU? Any (other) suggestions ?",0,None,1,Tue Jun 14 2016 14:08:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21676,None,None
/angelos54,Selection,I forgot to select the 5 submissions from my various submissions. Can I have the opportunity to do it now? Otherwise what will happen?,0,None,3,Tue Jun 14 2016 14:19:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21677,/competitions/can-we-predict-voting-outcomes,1941st
/stormvision,Final Score,"Hi! :) The competition has been very fun, and I'm happy with my final score (93rd place). I'm new to Kaggle, and I have a question about the final score. My best scores are: Best Public: 0.65230 Best Private: 0.65086 Still, in the Leaderboard I have a different private score: Public Leaderboard: 0.65230 Private Leaderboard: 0.64799 (final score) I didn't select any model. Anyone can explain why my best private score isn't also my final score? Besides, I have two models with a score of 0.64799, how do I know which one has been used for my final score? Thanks! :)",0,None,8,Tue Jun 14 2016 15:19:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21678,/competitions/can-we-predict-voting-outcomes,92nd
/alessandrogn,How submission is evaluated?,,0,None,1,Tue Jun 14 2016 18:10:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21680,/competitions/facial-keypoints-detection,None
/jimmyp88,Outcomes using only tools learned in class,"I noticed that many of the commenters used advanced techniques not covered in the class lectures. How did people do using just what we learned in class? I got a 0.632 using a combination of trees and regression. (I also got a 0.62 in Excel, manually creating trees based on key questions and demographics. For each question, I used SUMIFS to see the difference in how Dems and Reps answered each question, and pivot tables to examine the demographic factors.) I didn't keep a log of my R session unfortunately.",0,None,2,Tue Jun 14 2016 19:29:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21682,/competitions/can-we-predict-voting-outcomes,792nd
/overfit,grid_knn,"Nice idea about adding minute into hour. X = df_cell_train.drop(['place_id', 'grid_cell'], axis=1).values.astype(int) copy But notice that the this line actually transferred your data into int before you fits knn the data, so some info (especially decimal part of 'hour', 'x' and 'y') may be lost.",0,None,3,Tue Jun 14 2016 20:14:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21683,None,None
/pydatasci,Evaluating Model Performance with Training Data,"Like others, I ended up dropping like a rock on the leaderboard when the competition ended. Looking at all of my submissions and what they would have scored on the private leaderboard, I realized that my big problems is that I can't really even judge, based on the accuracy I get from evaluating the models on local training/testing splits, whether I'm making progress. So I'm looking for tips about what I might be doing wrong. Like, for example, rules of thumb that others have used for the number of folds with k-fold, or train/test split ratios, or anything that might help me see how I might actually be able to tell from local scores/accuracy whether one model/approach is better than another. As it is now, I feel like it's just a guessing game. I see that just changing the random seed can have as big an impact as completely changing the model (like from random forest to logistic regression).",0,None,6,Tue Jun 14 2016 21:26:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21684,/competitions/can-we-predict-voting-outcomes,2018th
/shahnawazakhtar,What do they mean by Route ID (Several routes = Sales Depot),,0,None,1,Tue Jun 14 2016 23:36:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21685,/competitions/grupo-bimbo-inventory-demand,None
/painkiller,Why leaderboard changed so drastically after competition was finalized,"About 2 hours before end of competition I was at 265 position, when it ended I found myself at 64 position. Alot of people went down. I've googled, I've read FAQ about public and private leaderboards but I can't get the idea how can you overfit model on test data and why it has such change in position. Thanks in advance for clarifications!",0,None,2,Wed Jun 15 2016 00:28:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21687,/competitions/can-we-predict-voting-outcomes,63rd
/espresso,staff: enable the scripts uploading?,"I have noticed other competition would have the script section on the left that allow people to upload script. It will come handy for us to share script. for instance, this one [Link]:https://www.kaggle.com/census/2013-american-community-survey/scripts Thanks, M.",1,None,2,Wed Jun 15 2016 00:52:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21688,/competitions/can-we-predict-voting-outcomes,331st
/ambarishbanerjee,Can the experts share some insights,"My two cents on this subject. I did not devote much time on this as I have many parallel tracks to focus on (job, Apache Spark, etc.) This is the approach I took and it gave me decent results. I personally like Logit as I come from an Econometrics background. The model is relatable and can be easily interpreted. I will admit that I tried Random Forest as well but I have four out of 9 submissions that were tied - a couple of them being Logit and others being RF. I took two approaches, one where I treated the NA as a third factor (imputation is not good when one-third of the values are missing) and in the other one I imputed. I tried to reduce the multinomial discrete variables by cross-tabulating against ""party"". If I noticed the distribution between the two parties at a given level (say $25000 - $50000) the same as overall as ""salary"" vs ""party"", I chose to reduce that factor. This helped me to reduce the number of dummy variables in the model. In econometrics, it is never good when your dummy variables tend to approach 100s because you lose your degrees of freedom. You estimate too many params with too few observations. Then the next thing I did was to determine the significance of these variables. The main purpose for doing this was to avoid overfitting. When you include insignificant variables in your model, you might be very successful predicting the outcome of your training data but not so much with your test data set. I wrote a small loop where I systematically increased the significance level from 0.35 to 0.15, 0.15 to 0.1, and 0.1 to 0.05. In the process, I was able to narrow down to about 10 significant variables and I made the predictions using the significant variables only. I took a similar approach with RF and in this case I used the Gini index to reduce my list of variables - the cutoffs were different (10, 20, 35). Finally I ran a simple ensemble approach where I weighted the prediction that I obtained on each occasion by the ""public leaderboard"" accuracy I found from kaggle but they were all pretty much in the same range. I am not a competitive programmer, I took this course to learn and in all honesty, I can say that I am happy with my progress. I was some 2000+ in the public leaderboard but ~480 in the private leaderboard. I just have one sincere request, if you did not reverse engineer (using the older competition data or adopt any unfair means to gain an edge) and obtained a good accuracy (0.7+), I would like to congratulate you and if you don't mind sharing, I would like to know how you achieved what you achieved.",3,bronze,4,Wed Jun 15 2016 01:35:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21689,/competitions/can-we-predict-voting-outcomes,472nd
/mudit1,Overfitting,"You may have noticed the following comment above the Public Leaderboard: ""This leaderboard is calculated on approximately 50% of the test data. The final results will be based on the other 50%, so the final standings may be different."" The purpose of splitting the leaderboard is to test the predictive power of the submissions and to ensure participants are not overfitting their models. Here is a nice blog by a Kaggler who saw his score drop substantially when the Private scores were revealed and the learnings from his experience: [Link]:http://gregorypark.org/blog/Kaggle-Psychopathy-Postmortem/ What may be some ways to avoid overfitting in this competition? How are participants testing their models? Any tips from experienced participants?",0,None,5,Wed Jun 15 2016 07:22:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21691,/competitions/sas-analytics-challenge,54th
/ljvmiranda,Getting Started with Biopython,"Hooray! Thank you so much for this, Myles. I'll start working on mine soon!",1,bronze,13,Wed Jun 15 2016 08:01:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21692,None,None
/blindape,Test set unseen labels?,"[Link]:https://www.kaggle.com/admins, the data page says: 'The train and test dataset are split based on time', but then is possible there are new labels in test set. Did you clean this new labels in test set or they are there, like one more part of the problem? (obviously they are impossible to predict).",2,bronze,2,Wed Jun 15 2016 09:44:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21694,/competitions/facebook-v-predicting-check-ins,55th
/danofer,Trouble downloading the Train data,"I keep getting network time-out errors when trying to download the Train set. (The other data sources downloaded fine, but the train set keeps failing due to a network error). Is there any way to wget the download or somesuch? Is this just me? (Yes: My internet connection is fine and stable.) Thanks!",0,None,1,Wed Jun 15 2016 10:01:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21695,/competitions/grupo-bimbo-inventory-demand,None
/savioz,Semana - Week number comprehension,"The data description says Semana - Week number (From Thursday to Wednesday) I understand it as semana being, not the week number, but the day of the week from 3 to 9 Thursday : 3 Friday : 4 Saturday : 5 Sunday : 6 Monday : 7 Tuesday : 8 Wednesday : 9 Is that correct ?",0,None,7,Wed Jun 15 2016 10:59:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21696,/competitions/grupo-bimbo-inventory-demand,649th
/rshekhar2,Making Nearest Neighbors a feature,"This is my first Kaggle competition, and I was wondering if I could tap into the knowledge base here to discuss how to make nearest neighbors a feature for a tree based classifier (specifically XGBoost). I was inspired by [Link]:https://www.kaggle.com/Sandro's KNN script ( [Link]:https://www.kaggle.com/svpons/facebook-v-predicting-check-ins/grid-knn/discussion) which gets roughly 0.56 in my tests. Try as I might, I was unable to improve KNN beyond about 0.57, whereas I have preliminary XGBoost results of 0.59 or so. Option 1: Voting classifier This would be straightforward, use a voting classifier with equal (unequal?) weights to combine the KNN classifier with XGBoost. Strictly speaking, this is not making KNN a feature, but an ensemble approach instead. Option 2: Neighbor weights per place_id as a feature Use something like sklearn kneighbors_graph to find the weights of the nearest k points under some metric (weighted minkowski with p=1 seems to be working well for me). This effectively adds N features per grid cell, where N is the number of categories after all cuts in that grid cell. Option 3: Sparse coding of KNeighborsClassifier for XGBoost Take the predicted place_ids from KNeighborsClassifier, label encode them and feed them into XGBoost. So for example, for a single row, if I have KNeighbors predict 7995458948, 8393706174, 8643187406 and my label encoder encodes them as categories 0, 2, and 4, respectively I could encode that as [ 1, 0, 0.5, 0, 0.333, 0, 0, 0, 0] copy assuming there were 8 predicted labels, and this would generalize to a larger sparse vector. Basically this is One Hot Encoding, but with three allowed categories, with some additional weights. I was wondering if the community had any thoughts on these strategies. Have you had great luck with one of these options in the past on some other competition, or with something else I didn't mention?",4,bronze,5,Wed Jun 15 2016 13:53:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21700,/competitions/facebook-v-predicting-check-ins,39th
/hanyan,San Francisco Trip Map,thanks for sharing! ggrepel is so cool,1,bronze,2,Wed Jun 15 2016 14:43:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21701,None,None
/abanishmishra,Initial Data Analysis & Graphical Interpretation (SAS),"I just joined this competition & thought of posting my very initial analysis on this data using SAS,SQL & Excel. I see there are impressive amount of investigation already done by my fellow candidates .So lot info in my notes maybe redundant.Please check out the attached file & let me know if this makes sense [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124090/4418/Exploratory Analysis - FB.docx",1,bronze,2,Wed Jun 15 2016 15:28:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21702,/competitions/facebook-v-predicting-check-ins,None
/saurograndi,Multi-Target Regression,"I recently worked on identifying a Treatment Protocol algorithm for a chronic disease and I found out that it is a Multi-Target Regression problem due to the interaction with all the possible used drugs. There's a lot of library on standard classification problem, but I didn't find much about multi-target regression (I'm working on Spark). Any suggestion is welcome. Thanks, Sauro.",4,None,1,Wed Jun 15 2016 16:45:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21703,None,None
/lamiaz,Recommendations for datasets to learn NLP,"Hello, I would like to get some recommendations on datasets or challenges to get started learning Natural Language Processing. I am a complete beginner in this field but finding it really interesting. Bonus points if the dataset is not huge. Thank you!",7,None,2,Wed Jun 15 2016 17:49:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21705,None,None
/cankoklu,Submission problem,"EDIT: DISREGARD… Just found the zero values.. yikes.. Hi everyone, This is the first time I'm doing a kaggle contest (and this is my first forum post!). We're using this problem as a class project. We created a very rudimentary prediction (using only 100 lines from the training data) but I'm having problems submitting. I checked the sample submission and we do have the right headers, and the right number of lines, but for some reason I'm getting the following error: Submission had an invalid score. Please check your input data for numerical errors (e.g. ""NaN"", division by zero, etc). I'm attaching the submit1.csv file if anyone could take a quick look and let me know what I'm doing wrong I'd be grateful. Best of luck to everyone. Can EDIT: DISREGARD… Just found the zero values.. yikes.. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124127/4422/submit1.csv",2,None,3,Wed Jun 15 2016 20:16:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21707,/competitions/grupo-bimbo-inventory-demand,321st
/vykhand,Exploring products,added some interactive charts,12,silver,24,Thu Jun 16 2016 00:57:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21708,None,None
/jturkewitz,Transfer Learning,"I was reading a blog post about transfer learning for images, and I am wondering if anybody uses this technique for this problem? Is it possible / practical to transfer information learned from 1 grid cell in order to speed up training for other grid cells?",1,bronze,1,Thu Jun 16 2016 01:38:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21709,/competitions/facebook-v-predicting-check-ins,20th
/bluesilence,"The Higher Ranked Kaggler, the More Diligent Kaggler...or vice versa?","Hi all, Here's a heatmap of Current Kaggler Ranking ~ Submission Date. Each bucket represents sum(submission) per 7 days in per 500 kaggler ranking tile. [Link]:https://github.com/bluesilence/Kaggle/blob/master/MetaKaggle/Plot/users_submissions_by_time.png?raw=true From the heatmap, there are a few interesting phenomena: The oldest lowest ranking kagglers are almost inactive in recent years; Kagglers in first ranking tile (the lowest row in the plot) are the most active contestants, and especially in recent years; There are more and more novice kagglers joining along the years (the climbing curve on the top). The novice kagglers tend to be more active than kagglers ranked in between. Source code on github: [Link]:https://github.com/bluesilence/Kaggle/tree/master/MetaKaggle/Code Python to extract data R for visualization",4,bronze,2,Thu Jun 16 2016 04:15:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21711,None,None
/zm714981790,Exploratory data analysis,"Excuse me, I want to know whether the targets pixels are stored in columns or row xs.append(p % 580) ys.append(int(p / 580)) # int() helpfully rounds down copy I think it might be : xs.append(int(p / 580)) ys.append(p % 580) copy",0,None,1,Thu Jun 16 2016 05:11:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21712,None,None
/rombuk74,Overfitted Models,"Hi: I see a pattern in my results that I can't fully explain. I appreciate if someone can provide an explanation. When I train a model on the whole training dataset, I am able to get a very good accuracy and low log loss (~0.1-0.2) which is the evaluation metric of the competition but when I submit my results on the test dataset, I get much higher log loss (~2). I don't fully understand why. I expect some level of overfitting and worse log loss on the test dataset but since both training and test datasets are large, I don't expect to see this much difference between the loss for the two datasets. Am I missing something? Is this expected? Thanks.",0,None,3,Thu Jun 16 2016 05:15:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21713,/competitions/state-farm-distracted-driver-detection,353rd
/sreesindhusruthi,Parsing a resume,"Hi, I would like to know where to start with to develop a resume parser so that I can convert into to a structured format. Please provide the lib or tools that supports python programming.",0,None,1,Thu Jun 16 2016 07:45:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21714,None,None
/starwar,Nested for loop not working on kaggle script,"I have been trying to run the code that is given below. I get the first for loop to work fine but the inner for loop runs only once which is not what I get when I run the same program on Jupyter notebook. code import numpy as np size = 10.0; x_step = 0.2 y_step = 0.2 x_ranges = zip(np.arange(0, size, x_step), np.arange(x_step, size + x_step, x_step)) y_ranges = zip(np.arange(0, size, y_step), np.arange(y_step, size + y_step, y_step)) for x,y in x_ranges: print (""hel"") print (x) print (y) for a,b in y_ranges: print (""abc"") copy Log : hel 0.0 0.2 abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc abc hel 0.2 0.4 hel 0.4 0.6 hel 0.6 0.8 hel 0.8 1.0 hel 1.0 1.2 hel 1.2 1.4 hel 1.4 1.6 hel 1.6 1.8 hel 1.8 2.0 hel 2.0 2.2 hel 2.2 2.4 hel 2.4 2.6 hel 2.6 2.8 hel 2.8 3.0 hel 3.0 3.2 hel 3.2 3.4 hel 3.4 3.6 hel 3.6 3.8 hel 3.8 4.0 hel 4.0 4.2 hel 4.2 4.4 hel 4.4 4.6 hel 4.6 4.8 hel 4.8 5.0 hel 5.0 5.2 hel 5.2 5.4 hel 5.4 5.6 hel 5.6 5.8 hel 5.8 6.0 hel 6.0 6.2 hel 6.2 6.4 hel 6.4 6.6 hel 6.6 6.8 hel 6.8 7.0 hel 7.0 7.2 hel 7.2 7.4 hel 7.4 7.6 hel 7.6 7.8 hel 7.8 8.0 hel 8.0 8.2 hel 8.2 8.4 hel 8.4 8.6 hel 8.6 8.8 hel 8.8 9.0 hel 9.0 9.2 hel 9.2 9.4 hel 9.4 9.6 hel 9.6 9.8 hel 9.8 10.0",0,None,1,Thu Jun 16 2016 08:20:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21715,None,None
/gregorut,First RF,Nice simple example of random forest.,1,bronze,1,Thu Jun 16 2016 08:38:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21716,None,None
/gcmartinelli,Python script for sampling train.csv,"Here's a script I used to sample the large train.csv file. It is slow, but it works. Any better suggestions on how to handle such large files in Python are welcome. print('Importing libraries...') import random import pandas as pd original_file = 'train.csv' target_file = 'train_sample.csv' target_lines = 500000 print('Counting original file rows...') f = open(original_file,'r') n_lines = sum(1 for l in f) f.close() print('Total number of rows: ', str(n_lines)) print('Creating skip indexes...') skip = random.sample(range(1, n_lines), n_lines - target_lines) print('Creating dataframe...') data = pd.read_csv(original_file, header=0, skiprows=skip) skip = None print('Saving sampled CSV...') data.to_csv(target_file, index=False) print('CSV saved > ', target_file) copy",3,bronze,2,Thu Jun 16 2016 10:29:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21719,/competitions/grupo-bimbo-inventory-demand,1064th
/kuanchen,Train/Val split Suggestion,I currently work on grid-knn based solution. I saw some discussion about cv score is lower than LB score and I do get this problem in my validation frame work My validation framework in simply randomly split train data set by KFold(n_fold=3). I got CV score around 0.545 while 0.57 on LB. Any suggestion or idea why does it happened? Thanks a lot,0,None,5,Thu Jun 16 2016 11:01:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21720,/competitions/facebook-v-predicting-check-ins,71st
/rpmcruz,How important is feature reduction?,"I am a Kaggle newbie. I wonder, how important is feature reduction? Is anyone using clustering or PCAs or feature selection? I am using gradient boosting, and, other than the advantage of trees being smaller, I don't see why this should be important. Anyone knows otherwise?",0,None,1,Thu Jun 16 2016 12:35:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21722,/competitions/avito-duplicate-ads-detection,89th
/mgkaggle,Kudos to everyone...,.,1,None,2,Thu Jun 16 2016 12:48:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21724,/competitions/can-we-predict-voting-outcomes,5th
/tarunad,Inventory management framework based on time series demand data,i see that there are 2 types of demand that needs to be there : 1) Minimum demand (very less variability) : this is needed because there is huge penalty for missing inventory… this can be predicted by moving averages (i guess) 2) Dynamic demand (high variability) : this is varying due to seasonality / particular occasions that spike the demand…this can be predicted by time series Arima (i guess) any thoughts/comments on the framework/ idea i had are welcome,0,None,1,Thu Jun 16 2016 14:07:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21725,/competitions/grupo-bimbo-inventory-demand,None
/maabdullah47,Attention Please We need help to start the first step,Dear All We need a help by any R experts: We need guide tutorial to learn: Reading Image (JPEG). 2-Convert it into pixels. 3-Extract part of the image using pixels coordinates. 4-Convert the extracted coordinates in (3) into Image and display it on the screen. Can any one help me in writing this simple code. I appreciate the help by any R expert. Thank you,0,None,4,Thu Jun 16 2016 14:23:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21726,/competitions/state-farm-distracted-driver-detection,None
/jamiedixon,what does town_state.csv actually contain?,"If you believe the headers, The schema for town_state.csv is: Agencia_ID State Town The data dictionary for train and test has Agencia_ID — Sales Depot ID So is town_state the name of the depot and the depot is named after the closest town? There are duplicate towns in the frame (using F#): town_States |> Seq.filter(fun r -> r.Town = ""2013 AG. MEGA NAUCALPAN"") copy gives seq [(1119, ""2013 AG. MEGA NAUCALPAN"", ""ESTADO DE MÉXICO""); (1139, ""2013 AG. MEGA NAUCALPAN"", ""ESTADO DE MÉXICO""); (1142, ""2013 AG. MEGA NAUCALPAN"", ""ESTADO DE MÉXICO""); (1221, ""2013 AG. MEGA NAUCALPAN"", ""ESTADO DE MÉXICO""); …] Looking at the 1st record, is the 1119 the depotId, the 2013 is the townId, and no stateId present? Thanks in advance",0,None,1,Thu Jun 16 2016 14:25:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21727,/competitions/grupo-bimbo-inventory-demand,1560th
/kyle7day,What external data can be used?,"I noticed the rules state that only the given data can be used unless specifically told otherwise. This seems kind of limiting and I've already noticed a few people incorporating some additional fields from posts on the forums. My question is, What external data can we use? Can we tag customers with regions or other city/town related data? Can we add product categories? I think I noticed one post where some one was adding brand, is this allowed?",0,None,7,Thu Jun 16 2016 19:05:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21729,/competitions/grupo-bimbo-inventory-demand,1594th
/kumarmankala,Computing KDE for 100000+ places,"I think I am getting a prediction accuracy more than 70%, but stuck with the problem of computing KDEs on the go for 8 million test checkin records. One way is to precompute the KDEs for these 100K+ places. But, my machine (8GB, i7, with SSD) is unable to do it… anyone facing similar issue OR have ideas on how to scale it? Azure is not helping much… they don't support ks package. (I am using R)",0,None,14,Thu Jun 16 2016 19:24:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21730,/competitions/facebook-v-predicting-check-ins,None
/benhamner,Count Prediction,An almost-perfect score tells me leakage is happening somewhere (assuming 1.0's perfect),0,None,2,Thu Jun 16 2016 22:33:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21732,None,None
/kjhuang,SC Republican Primary Results,"Hi Ben, could you please tell me how you make this map using the location shape file? If possible, can you show me some tutorial sites about it? Thank you.",0,None,2,Thu Jun 16 2016 23:57:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21733,None,None
/igorvelosocustodio,What is a good Precision Value,"Hi everyone, I´m trying to find some piece of information, but no success until now. I would be happy if you guys could help me. When talking about precision value (P@k, for instance), what value could I say that is a good precision. For example, if I have a search algorithm with 0.7 of precision, would you say it´s a good precision? In other words, how can I find recent published papers using some examples like that, for comparison only. I´m sorry if this is a dumb question, maybe I´m not explaining correctly. Thanks anyway. Igor",0,None,3,Fri Jun 17 2016 06:31:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21735,None,None
/phancock14,Kaggle Users by Location,,0,None,2,Fri Jun 17 2016 06:43:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21736,None,None
/msamogh,Primary Results Sample Data,Am I the only comment?,0,None,1,Fri Jun 17 2016 06:54:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21737,None,None
/katherinechenqi,done done 3,May I know the reason that you drop 'T2_V10' and other 3 features before starting the training? Is that because you have run some feature selection algorithms and decided to discard those 4 features? Thank you,0,None,1,Fri Jun 17 2016 07:36:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21739,None,None
/manels,Downsample for CV,"My first try has been consider only week 9 (Semana = 9) to train my model and make predictions. I have obtained 0.503 on CV and 0.5125 on LB. Now, I will try to consider downsample by products or clients How are you doing downsample to train your model? Which is your CV score vs LB?",0,None,2,Fri Jun 17 2016 08:35:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21740,/competitions/grupo-bimbo-inventory-demand,294th
/avinashrai,Ensembling,Can anyone suggest me something on how can we ensemble the simple median based model provided by Mr. Prasad Chitta and the gradient boosted model provided by Mr. H2O.ai. or is this possible ?,0,None,1,Fri Jun 17 2016 10:14:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21741,/competitions/grupo-bimbo-inventory-demand,692nd
/cankoklu,XGBoost,"Hi Koba, I'm a little new to python. Could you clarify what you're doing in here: rmsle = make_scorer(rmsle_func, greater_is_better=False) I see you're using eval_metric='rmse' in line 52. Is this a typo of rmsle? or is something else going on? Cheers, Can",0,None,10,Fri Jun 17 2016 13:34:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21744,None,None
/osmana,Negative Values in Return Items,"Hi All, The data description mentions that that number of return items could be negative as the return could carry over for multiple weeks. Could someone elaborate on what does this mean?",0,None,2,Fri Jun 17 2016 17:14:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21746,/competitions/grupo-bimbo-inventory-demand,None
/sharmyy,ISIS & Twitter - Exploratory analysis,"when running actual <- subset(isis, isRT == FALSE & days %in% as.Date(rownames(top10days))) i get the following error ""Error in charToDate(x) : character string is not in a standard unambiguous format"" my understanding is that you're aiming to treat the rownames which are 1,2,3,4,5…. as dates",0,None,1,Fri Jun 17 2016 18:07:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21748,None,None
/caiotaniguchi,Brief Leaderboard Analysis,"Inspired by analysis made in previous competition, I decided to make my own analysis of this session's competition. It's very simple and I did mostly to get some more practice with ggplot, but the results are actually interesting. First things first, let's take a look at the scores of both leaderboards: [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/124384/4433/score_density.png?sv=2012-02-12&se=2016-06-20T21%3A39%3A40Z&sr=b&sp=r&sig=9u1mBnGV58wgGLuDuswLA1kFsgZliX5CzfgIJ4OWd64%3D What is interesting here is that both curves are quite similar and the median score only decreased by 0.6% from the public to the private leaderboard, so overall overfitting wasn't an issue, congrats everyone! On the other hand, scores between 0.64-0.66 took quite a hit, which led to some crazy changes in leaderboard position as we will see later. Also note the peaks in the distributions. The smallest peak corresponds to the sample script, which turned out to perform even worse in the private leaderboard. The second peak is probably CART/RF or GLM with some sort of feature selection. The highest peak is what many referred to as ""the wall"", the point where it became very hard to improve using only techniques from the class. Those were the scores, now let's see how the ranking changes turned out: [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/124384/4434/public_vs_private.png?sv=2012-02-12&se=2016-06-20T21%3A39%3A47Z&sr=b&sp=r&sig=yV5xSYTYgoosTDGgY1ngSQN1f0Z5U%2Bw9vuCVLY%2FRHQg%3D Quite crazy, despite the small difference overall in scores. The points in blue are competitors who stayed within the +/- 150 places range (roughly +/- 5% of the field) from their public rank. In numbers, only 37% of the competitors stayed within this range. Taking a closer look at the top 300, we see that the movement is even worse: [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/124384/4432/public_vs_private_top300.png?sv=2012-02-12&se=2016-06-20T21%3A39%3A45Z&sr=b&sp=r&sig=AZsP28CCI18rarYzd3zoG%2BLyBkU8wCI09zjDK35IXo0%3D No foreigners in the first 25 spots (mostly due to data leak reasons), but beyond that is just chaotic. Amazingly, someone who was beyond 2500+ ended up in ~60th place! In the top 300, only 32% of the competitors were in the first 300 places in the public leaderboard. And there you have it. It was fun while it lasted, hope you guys enjoyed it as much as I did! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124384/4430/leaderboard.csv [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124384/4431/leaderboard_analysis.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124384/4432/public_vs_private_top300.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124384/4433/score_density.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124384/4434/public_vs_private.png",2,bronze,2,Fri Jun 17 2016 23:39:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21749,/competitions/can-we-predict-voting-outcomes,30th
/buissonflorent,Using Rcpp? Also: saving without running?,"Hello, I'm new to Kaggle. I have tried to publish a script for the Facebook competition, but my script uses Rcpp and so requires a separate file with the c++ instructions. Is there any way to have a secondary file somewhere that can be called by the sourceCpp instruction from the main file? Also, my trying to work on the script has been messy and I have inadvertently published unfinished versions or lost work in progress. How can I save a script or notebook without immediately running it and making it public? Thanks!",0,None,5,Sat Jun 18 2016 02:02:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21751,None,None
/woshialex,is the structure of the CNN very important to performance,"Previously I thought it only has a small improvement from my experiments of different structures (resNet, inceptionNet, LeNet, googlenet, etc..) , but then I realize today that some people has IQ of 160 and some others only have IQ of 60, using similar set of knowledge to train these two neural nets the performance on many many things can differ dramatically. And these two neural nets might looks more or less similar? So there might be lots of more thing can be done in designing new structures of the Neural net.. What is the difference on the actual neural net of IQ 160 and IQ 60 people? More layers? or more connections? Or on the contrary, is it a simpler net so it can be trained quickly without overfitting :) ?",0,None,2,Sat Jun 18 2016 05:44:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21753,/competitions/state-farm-distracted-driver-detection,126th
/ivanmkc,Looking to join a team,"Hey, I'm looking to join an experienced team (or person to form a team). I'm a senior software developer and have basic experience in ML and would like to improve my NN knowledge. I am an expert in Matlab and have been using Python more extensively lately. I am an expert in mobile (iOS), and server-side technologies (Heroku, Express, Nodejs, etc). I'm experienced with using AWS and Heroku to set up cloud-based trainers as well. I write professional, organized code and of course use version control (Git). Let me know if you'd be interested in collaborating. Thanks!",0,None,2,Sat Jun 18 2016 06:01:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21756,/competitions/state-farm-distracted-driver-detection,None
/mikeskim,Tell me what you do (or want to do)?,"I'm interested in hearing about what other Kagglers do to make money. I know there are some students living on stipend, some salaried Fortune 500 professionals, some people own their own consulting agency, etc. Post your stories here. I'm personally more interested in the dirty, everyday grind versus the glamor stories you might read on some tech blog.",9,silver,6,Sat Jun 18 2016 08:50:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21758,None,None
/mikeskim,eSports,"I'd like community feedback on either: 1) Kaggle becoming an eSport like League of Legends, Star Craft, Street Fighter, etc. Probably unlikely since general competitive programming is too niche and requires too much background knowledge. 2) Kaggle as a platform for programming the AI behind an eSport of some sort, and running the tournament. I think LOL might be a stretch (requires API, etc.), but there are probably some (older) games that could fit the make predictions type format. You would probably want to add some strategy depending on matchup as well. It's just a matter of time before eSports hit the mainstream and it will be huge (if it is not already huge with WCG, MLG, SBO, EVO, Twitch, etc.). Kaggle lacks the visual element of real time match footage (movies, sound, etc). Even something as niche as Battlebots has decent revenue potential. In general eSports is way bigger. Amazon bought Twitch for nearly a billion, and that was in the past. I think the future is much brighter. The timing might be a bit early here, but taking the risk now could pay off big in first mover advantage. There have already been some players in the field such as Google beating Lee Sedol, but it goes way beyond this. The public in general will never understand the mathematics behind the black box, or the philosophy behind the software engineering required to create that black box. However, the public does understand sport in the sense of Fifa, Olympics, NFL, MLB, etc. It will likely also understand (or at least pays for) eSports given the visual nature of something like Twitch. I'd like to see Kaggle get into eSports as a major player behind the AI and as the tournament venue. If the Kaggle team isn't interested, maybe the Kagglers are interested. I don't know the exact, explicit answer to making eSports AI profitable (the field doesn't even really exist yet), but maybe this discussion is a start.",3,bronze,5,Sat Jun 18 2016 09:08:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21759,None,None
/johnfarrell,[Deleted Kernel],interesting : ),1,None,2,Sat Jun 18 2016 10:37:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21760,None,None
/johnfarrell,explorer Integer Sequence Learning,Great visualization!,0,None,1,Sat Jun 18 2016 10:39:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21761,None,None
/brianbien,Lat-long geo coordinates,"Given the nature of geo coordinates for cities (publicly available and easy to access), I was wondering if Kaggle Admins might consider allowing the use of them in this competition.",0,None,3,Sat Jun 18 2016 14:21:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21763,/competitions/grupo-bimbo-inventory-demand,None
/frankz,id_train.csv and train.zip do not match ,The difference in this is due to the fact that training is 8000 images and test is 13999 the remaining ~20700 are not labelled,9,silver,1,Sat Jun 18 2016 15:26:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21764,/competitions/data-science-game-2016-online-selection,24th
/shoresh,Grade,why the grade of competition is still not field in progress page of course?Is there anay body who got any score for competition?,0,None,1,Sat Jun 18 2016 15:44:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21765,/competitions/can-we-predict-voting-outcomes,1651st
/sauravbahadur,India Road traffic data,Hi- anyone has Indian city road traffic data and can share/upload the same here?,39,None,4,Sat Jun 18 2016 16:25:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21769,None,None
/rachar1,Top scorers,"Here is a thought on the top 25 (or 30) scorers: One of the traits of Data Scientists is ‘Curiosity’. The top scorers have demonstrated that they have abundant curiosity. During their pursuit, they stumbled on data from 2014. They got excited, and tried to see if it helps them boost their score. To their surprise, it did help. They saw themselves beating the MIT experts in the game. Then they saw some other students doing the same and perhaps thought it was a fair game. Later, they might have realized that their act impacted other students. Some of the toppers de-selected their top submissions from the final selection. But the horse had left the barn, the damage was done. On MIT’s part, it seems that they tried to run an experiment, and wanted to see how it ends up, OR they failed to anticipate the impact, and have learned a lesson.",0,bronze,2,Sat Jun 18 2016 18:19:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21771,/competitions/can-we-predict-voting-outcomes,55th
/pikmaihui,Thoughts on different people with same scores?,"In the 100- rank I saw quite a few people having exactly the same scores. It seems like someone released their code before the final evaluation and someone else submitted the same code. Multiple submissions push other submissions down in the ranking. I personally don't think it matters that much in this since it's on knowledge. On the other hand, I can imagine people saying ""look, I have many submissions within top 10% ranking"", while all they have done is pushing ctrl-A -> ctrl-C -> ctrl-V. Or am I mistaken that they are just by coincidence having the same scores? What are you guys' thoughts on this?",3,bronze,2,Sat Jun 18 2016 21:37:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21772,/competitions/shelter-animal-outcomes,None
/chengcen,Naive Bayies,Thanks! Nice try to include the accuracy how does it compared with other models like knn and xgboost? Thanks,0,None,1,Sat Jun 18 2016 23:09:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21774,None,None
/mikebak,Floating-point test,"Hi Zach, I think it's interesting how precise your output numbers are. I'm using numpy and pandas and my output numbers only go five numbers beyond the decimal, while yours go 16. Do you know why that might be? Do you think the error caused by rounding 'demanda_uni_equil' to five decimal places increases the rmsle by more than say 0.01?",0,None,2,Sun Jun 19 2016 02:08:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21775,None,None
/kyle7day,duplicates in train.csv,"I'm not sure if I'm missing something because no one else seems to be mentioning this, but I'm finding duplicates in the training data. For the same Semana, Cliente_ID, and Producto_ID I see two (at least, there may be more) records with different Demanda_uni_equil. For example row 1522 and 134598.",0,None,5,Sun Jun 19 2016 04:47:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21776,/competitions/grupo-bimbo-inventory-demand,1594th
/picarus,Accuracy Periodicity,Is it more related than the overall data? What is the baseline?,0,None,1,Sun Jun 19 2016 07:21:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21777,None,None
/drpatrickchan,Pretrained RESNET in Keras ,"Have anyone tried loading prertrained RESNET in Keras and train the model? Appreciate any insights,codes and accuracy on the model. Thanks Patrick",0,None,7,Sun Jun 19 2016 08:36:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21778,/competitions/state-farm-distracted-driver-detection,120th
/wwang2,no data for week 1 and 2,"I am trying to organize the data, so the data starts from week 3 to 9, is that right for everyone else or just me? Thanks",0,None,3,Sun Jun 19 2016 09:40:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21779,/competitions/grupo-bimbo-inventory-demand,1418th
/mik3hall,Using OutcomeSubtype in test,I had a idea on this. I had seen this before in some Kaggle competition where there were attributes included in training that were not included in test. Unfortunate because using them for training seemed to give you better results. This time I thought what if you did this… In training you build a model predicting OutcomeSubtype. You get the probabilities for the different subtypes and then include those probabilities as attributes for the model you use to predict outcome itself. Then for test you use the subtype model to generate probability attributes to use for the test dataset. In some sense including subtype for test. I have only done a little testing on this Predicting subtype seemed to get slightly better accuracy than predicting outcome. Including probabilities seemed to get generally worse results. But for some classifiers seemed better able to improve as classifier parameters were changed. At the moment I am still trying to get results I'm happy with for outcome before even submitting for the competition. In the meantime maybe someone with more knowledge can indicate if this idea makes sense. Or someone with more skill can actually implement it better.,0,None,3,Sun Jun 19 2016 14:51:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21780,/competitions/shelter-animal-outcomes,54th
/beedata,Is it normal to train the xgb for approximate 70+ hours?,"I'm now training xgb model on my school's machine( 32 cores, 192GB RAM). I split the data into 50*50 cell. I estimate it'll take me 70+ hours to train the model. Is it normal?",0,None,8,Sun Jun 19 2016 17:15:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21782,/competitions/facebook-v-predicting-check-ins,32nd
/drarfc,Script_Competition_Facebook_V,Facebook highly encourage competitors to be active on Kaggle Scripts. Your work there will be thoughtfully included in the decision making process. Using the same hardware and running under the same conditions ( 1200 seconds and 8GB memory) will enhance scripting capabilities among Kagglers.,1,bronze,16,Sun Jun 19 2016 18:09:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21783,None,None
/paavox,Setting seed can affect rank way over 1000,"I made a test (by Post-Deadline submissions) where I used my best ranked model with five different set of seeds for sample.split and randomForest. I was surprised about the effect it had on private score. The ""best seeds"" was ranked at about 240 and the worst at 1550 (difference in rank 1300). The scores ranged from 0.64224 to 0.62356 (so I wold not have made it to the top). Please don't think this about this as discouraging but as something that is present in every model that you make (that uses random numbers). You just have to live with the uncertainty. For Kaggle competitions, I guess this means that if you feel your model is well defined you should test it heavily before submitting with different seeds to be sure of your model. And maybe sacrifice a couple submissions with different ""best ranking"" seeds as the public and private scores can be somewhat different as well. But how about in real life modelling? I hope there would be a solution, hopefully a package, that does repeated sampling and testing (like for example the way random forest does). Any ideas how to deal with this?",0,None,1,Sun Jun 19 2016 19:49:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21785,/competitions/can-we-predict-voting-outcomes,729th
/gcmartinelli,Handling categorical values,"Most of the values we have to work with are categorical (ex: producto_id, agencia_id, cliente_id, etc.). My first attempt was to build simple linear regressions. But for that I need to convert these categorical data into actionable dummy variables. I never worked with such a large dataset and I'm having trouble converting using Pandas.get_dummies() (my computer simply can't handle it). Is my approach wrong? Is this dataset simply impractical for Linear Regression?",0,None,6,Sun Jun 19 2016 22:30:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21786,/competitions/grupo-bimbo-inventory-demand,1064th
/gcmartinelli,Handling the large datasets,"train.csv is too large to handle entirely in my computer, so I have split it into a sample of 500,000 random rows (I know I could split using other logic, like using only the last weeks input, for example). My question is, how will I fit my models if my computer can't handle the entire dataset? Is there a function in Sklearn to fit data in increments?",0,None,25,Sun Jun 19 2016 22:33:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21787,/competitions/grupo-bimbo-inventory-demand,1064th
/prasadpande,Overlapping Pie chart labels,"Hi, I am using R for visualizing the data set. For showing the different topics mentioned in the tweets I used pie chart and what I observed is that I am getting the graph labels overlapping for few of the topics. Can any one help me to make those more readable. Attaching my output chart for more clarification. Thanks, Prasad [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124551/4442/PieChart.jpeg",0,None,1,Sun Jun 19 2016 23:53:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21789,None,None
/flashnik,Final standings vs public LB,Maybe my question is silly but it is not the first competition I think about it. Final standings is based on private LB. Does that mean that score on sets from public LB do not influence in any way final standings? Or is final based on both public and private sets?,0,None,1,Sun Jun 19 2016 23:56:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21790,/competitions/draper-satellite-image-chronology,81st
/knguyen,What tools/setup do people with double digit submission use?,"This is my first Kaggle. Not trying to steal anyone's competitive advantage, I just want to get an idea of the state of the art. I'm running xgboost on EC2 instances wherein each submission takes a few days. When I look at the leader board, it appears that some people can generate a submission within a few hours. Can someone please share a peak of their tools/setup? Spark? Access to high performance computing infrastructure (via job, academia..)?",0,None,6,Mon Jun 20 2016 01:45:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21792,/competitions/facebook-v-predicting-check-ins,634th
/flashpacker,Python XGBoost Starter - 0.74,"Thanks for sharing this excellent script. While I still have a question: if you split data into train and validation, will you lose some data for training? Wound it be better if you concatenate training and validation data to train another xgboost based on the validated parameters and then predict on test set? Thanks!",0,None,1,Mon Jun 20 2016 03:55:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21793,None,None
/connectingthedots,Competition Score is not reflected in Progress Chart on EdX,"Hi , I checked the course progress bar, it shows no updates to the competition scores as yet. Are these still awaiting uploading? Unless of course I have a fairly low rank (~2500), so that counts as 0 or something? Any ideas anyone?",0,None,5,Mon Jun 20 2016 04:53:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21794,/competitions/can-we-predict-voting-outcomes,2491st
/kuanchen,why performance don't get better when the grid is denser?,"Hi I am doing some grid size experiment in my basic gird knn model. My intuitive is that smaller grid size will get better result. I tried this idea in my train/val, I found that my cv score increase 5% when I use 100 * 100 gird. However, my lb score doesn't increase that much (~0.65 on my cv while ~0.58 in lb). I feel like my intuitive is wrong. And I am thinking is it because the smaller grid size will decrease the the number of training point which degrade the model performance? Anyone tries similar experiment or any idea? thank you",0,None,5,Mon Jun 20 2016 06:21:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21795,/competitions/facebook-v-predicting-check-ins,71st
/karansinghgautam,Remove columns with mostly zeros and non zero outliers in R,"I have a large dataset with 400+ columns and 100000 rows.( All fields are numeric) I have removed correlated columns cutoff<- 0.7; correlations<- cor(training); highlycorrelated<- findCorrelation(correlations,cutoff = cutoff); trainingfeatures<- training[,-highlycorrelated]; dim(trainingfeatures) and empty columns. training <- training[, colSums(training) != 0] ; dim(training) However alot of columns have very few non zero values (like 10 non zero value in 100,000 instances) colSums(training != 0) I would like to delete columns which contain less than 100 non zero values. I am able to do it manually by looking at such columns from above command but it is error prone. Please help. Cheers, Karan",0,None,1,Mon Jun 20 2016 11:44:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21799,None,None
/cadene,Modification of the competition rules,"Hi there, Yesterday it was forbidden to use any pretrained models and today you modified the rules ( [Link]:https://inclass.kaggle.com/c/data-science-game-2016-online-selection/rules) : The use of external data is strictly forbidden (But pre-trained models on different images are allowed). So to make things clear, can I use a roof dataset with the same annotation to train a model, then fine tune this model on your roof dataset ? It seems totally unfair to me. Also I was thinking using the unlabeled dataset was a part of the challenge. But with pretrained models, those data are useless… Clarification is needed. Thanks.",15,gold,16,Mon Jun 20 2016 13:48:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21801,/competitions/data-science-game-2016-online-selection,1st
/remap1,Free chapters from Andrew Ng's book?,"Sign up: [Link]:http://www.mlyearning.org Historically, the only way to learn how to make these ""strategy"" decisions has been a multi-year apprenticeship in a graduate program or company. I am writing a book to help you quickly gain this skill, so that you can become better at building AI systems.",4,bronze,1,Mon Jun 20 2016 15:47:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21802,None,None
/robby75,Data Science or Rule Based System?,"It can be noticed that both approaches are being used by the participants. Somebody has declared Ideal Data Scientist does not need Training Set while Data Science follower is exploring features of the sequences. Rule based system would require a PhD style study of the 100k+ systems besides taking a long, long computer time for the expert system to evaluate the 100k+ test sequences. OEIS reports 1 paper per sequence and possibly the writeup of these papers involved months of study each. DS style approach assumes that rules of building such sequences could be learned by algorithm like randomForest. Such strategy requires features to be engineered properly. Can we together develop a list of features? Some features based on rule based study could be: 1) First Term, 2) Second last term, 3) Max number of digits, 4) Min number of digits, 5) Numbers of unique differences between successive terms, 6) Unique ratios of successive terms. We should have up to 30 features and then may be we shall cross the barrier of 0.25 CA.",1,bronze,4,Mon Jun 20 2016 16:24:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21803,/competitions/integer-sequence-learning,22nd
/navoshta,Yet another KNN with a grid.,"This is basically the [Link]:https://www.kaggle.com/svpons/facebook-v-predicting-check-ins/grid-knn script by Sandro with a couple of minor updates: Weights are adjusted slightly Hour takes minutes into account, rounding the value to nearest half-hour (in order to treat 15:58 and 16:02 as really close values — thinking that people tend to arrange meetings at a full hour or half-hour) Accuracy is added to the feature vector (although with a very small weight) Filtering out checkins with bad accuracy (e.g. > 1000, assuming accuracy is the radius of the checkin's estimated location) Decreased the number of cells in the grid All these changes seemed to improve things on the CV, however they don't perform that well on LB, giving me only 0.56714 (e.g. apparently even worse result than with the script I have forked!).",0,None,2,Mon Jun 20 2016 18:01:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21805,None,None
/navoshta,grid_knn,"Ok, still trying to get my head around Kaggle scripts. This is basically the [Link]:https://www.kaggle.com/svpons/facebook-v-predicting-check-ins/grid-knn script by Sandro with a couple of minor tweaks: Weights are adjusted slightly Hour takes minutes into account, rounding the value to nearest half-hour (in order to treat 15:58 and 16:02 as really close values — thinking that people tend to arrange meetings at a full hour or half-hour) Accuracy is added to the feature vector (although with a very small weight) Filtering out checkins with bad accuracy (e.g. > 1000, assuming accuracy is the radius of the checkin's estimated location, although as [Link]:https://www.kaggle.com/hswater1 pointed out, accuracy is not smaller the better) Decreased the number of cells in the grid All these changes seemed to improve things on the CV, however they don't perform that well on LB, giving me only 0.56714 (e.g. apparently even worse result than with the script I have forked!).",0,None,14,Mon Jun 20 2016 18:50:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21807,None,None
/kjhuang,"Nevada Results, Hispanics & Trump","Hi OmaymaS, I think it is not reasonable to use votes number instead of fraction vote to do the comparison since the population of each county is different.",0,None,1,Mon Jun 20 2016 19:13:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21808,None,None
/nigelhenry,Exploring accuracy,Great work. I think I made some break through jumping off from where you left off: [Link]:https://www.kaggle.com/nigelhenry/facebook-v-predicting-check-ins/accuracy-explained<a,0,None,1,Mon Jun 20 2016 19:35:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21809,None,None
/paavox,About the same model ranked between 34-1600,I put my randomForest model to a test and changed only mtry parameter and got a score of 0.65661 that was ranked at 34. The idea for mtry came from here [Link]:http://scg.sdsu.edu/rf_r/. And some controversial findings here [Link]:http://code.env.duke.edu/projects/mget/export/HEAD/MGET/Trunk/PythonPackage/dist/TracOnlineDocumentation/Documentation/ArcGISReference/RandomForestModel.FitToArcGISTable.html. Yesterday I tested the same randomForest model with differend seed values (with default mtry value) and the results are in this post [Link]:https://inclass.kaggle.com/c/can-we-predict-voting-outcomes/forums/t/21785/setting-seed-can-affect-rank-way-over-1000. A lot to learn…,0,None,2,Mon Jun 20 2016 20:50:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21810,/competitions/can-we-predict-voting-outcomes,729th
/mylesoneill,Countrywise distribution of universities,"Try adding las=2 to the barplot to get more of the labels to display. I tried it out here: [Link]:https://www.kaggle.com/mylesoneill/d/mylesoneill/world-university-rankings/countrywise-distribution-of-universities There is probably an even better method to make them look nice, but this way its clear which bars represent which countries.",0,None,1,Mon Jun 20 2016 22:00:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21811,None,None
/del=0f552ea588e9e627,Requesting Reading Material Referral On Set Theory & Non-Parametric Stat.,"Hi Guys, First post, so please be gentle. Also, keep in mind I only went for a math minor (finance major). OK, so up until last week I had no idea non-parametric statistics even existed. As far as my preliminary research has indicated, unlike parametric statistics, non-parametric statistics do not use distributions to make inference about a total population from a sample (and also predominately use medians in lieu of means). After taking abstract algebra and some discrete mathematics, I am fairly competent with set theory and cantor notation. I also took an advanced logic class covering methods of proof (""reductio ad absurdum"" and all that). All the texts I have found refer to ""assumptions"" that must be true in order to apply parametric statistics to a sample, but they don't go over what these are or how to test for them! Can you guys recommend a book(s) that… Enumerates the assumptions made by parametric models (Gauss, F, T, Z, etc), describes how to test for these with set theory (preferably cantor notation), and does a good job of delineating these proofs. A book which acts as a road-map for different statistical techniques, which assumes absolute familiarity with basic parametric statistics. What I have found so far has been so rudimentary, I spend all my time re-reading verbose descriptions of basic stat. Thanks Guys!",1,None,6,Tue Jun 21 2016 02:49:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21814,None,None
/ithrandir,Confusion in BDT,"Can a boosted decision tree like AdaBoost perform worse when given more features, particularly if the data is noisy ? I think this question is relevant to even any machine learning algorithm. Thanks!",0,None,1,Tue Jun 21 2016 04:48:19 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21817,None,None
/sawankumar,Very less labeled trained data,I have total 1000 rows in the training data set . I have around very little around 200 labeled data . I want to label rest 800 so that i can predict on test data set which contain another 500 data points. I know we should use semi supervised learning . How to start doing this ? I am using R .,0,None,1,Tue Jun 21 2016 09:24:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21819,None,None
/avinashrai,Sparse Matrix,How to create a sparse matrix for categorical variables. I have a 8GB RAM and by using sparse.model.Matrix() of R's Matrix package is going out of memory. Can anyone suggest some solution over this?,1,bronze,1,Tue Jun 21 2016 10:47:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21820,/competitions/grupo-bimbo-inventory-demand,692nd
/rightfit,Question to dig,"Hi I got a query for Kaggle, and Sponsors specifically, and may be something to dig, for fellow Kagglers. And this might be applicable for other competitions too. Lets say some features which are purely ID e.g (category_ID), in their pure form, help in improving predictions by some fraction and therefore allows me or a team to get up there and win a competition or even in the top 3 or 5 etc. Point is, what would that give to the Sponsors ? or the Community ?. My guess is not much because IDs can change tomorrow and they have no relevance what soever (unless there is a leak) with the data. So - should we use such features ? Or may be - The rules should say that - ""you cannot use IDs as features"". What do you think ? Regds",0,None,7,Tue Jun 21 2016 11:30:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21821,/competitions/avito-duplicate-ads-detection,13th
/itodorovic,Hints (publicly sharing),"Now that the competition entered the final phase, maybe sharing some hints would make it more interesting for everyone. I'll start with one: All images with clouds on them are No3 in order. You can manually label them, or if you don't like manual labeling you can count white pixels over some ""whiteness"" threshold, the image which have them drastically more then other four is No3.",0,None,13,Tue Jun 21 2016 13:08:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21822,/competitions/draper-satellite-image-chronology,36th
/ma350365879,Question about XGB and RF parameter tuning for each grid,"I am now stuck because I don't know how to improve the XGB and RF results. I know [Link]:http://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/ and [Link]:http://datascience.stackexchange.com/questions/9364/hypertuning-xgboost-parameters are good tutors for tuning parameters for XGB, and it seems there are not much we can do to improve RF except for adding n_estimators. However, the difference for this problem is that we are doing a grid search - different grid might need different parameters. For RF, this could be solved by making n_estimators to a large value. But it might increase the computational time. For XGB, things become complicated. Max_depth, n_estimators, learning_rate are the three most important parameters that would influence the result. Different from RF, the prediction of XGB will drop if n_estimators become too big. While ""n_estimators=50"" could be the best choice for grid 1, ""n_estimators=250"" could be the one for grid 99. Alex's [Link]:https://www.kaggle.com/drarfc/facebook-v-predicting-check-ins/script-competition-facebook-v/run/273337 inspired me if it's possible to find the best n_estimators (and other parameters) based on the sample size, number of place_id of each grid. I've did a rapid test on it but didn't find a trend yet (and it's super time consuming). I also think of doing warm start - a way to continue the training base on previous model (correct me if I am wrong) - but this require leave out data to check whether the prediction decrease, which makes it computationally slower . And, I didn't find many sample code doing this. I faced similar problem when I participate in the [Link]:https://www.kaggle.com/c/expedia-hotel-recommendations competition. Yet, I didn't find any one talking about this - tuning parameters for each grid. I assume this could be a common problem in different scenario. So, in short, my question is how did you choose the parameter for XGB and RF in this situation?",1,bronze,11,Tue Jun 21 2016 17:13:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21825,/competitions/facebook-v-predicting-check-ins,38th
/chandrat,Submissions in Octave.,"Hi Team, Are the submissions allowed in Octave? I see the welcome notes talk about submissions either in R or in Python and I'm new to both of them. Regards, -Chandra.",3,None,7,Tue Jun 21 2016 19:04:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21826,None,None
/cpmpml,duplicates in train data except for routes,"It seems that some customers are served more than once a week from a given depot. See for instance: train[(train.ProductId == 31187) & (train.ClientId == 1064922) & (train.WeekNum == 3)] copy Sorry, I renamed columns to English names, but you should get the idea. Seems to me that these are shipments over the week, with more than one per day. I am a bit puzzled that we are asked to forecast the amount in each shipment instead of the total shipment per week. Seems to me that it would have been good to get the day in the week of each shipment.",9,silver,6,Tue Jun 21 2016 20:09:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21827,/competitions/grupo-bimbo-inventory-demand,18th
/del=9c07b6a789bfeca4,How have the leaders attained 100% accuracy?,,0,None,1,Tue Jun 21 2016 21:41:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21829,/competitions/titanic,None
/zfturbo,Team Up (> 0.93),Will join someone with score around mine. Probably we will have synergy from union of our feature list. Msg me ) UPD: Team was created. Thanks everyone.,0,None,1,Tue Jun 21 2016 23:26:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21830,/competitions/avito-duplicate-ads-detection,4th
/x5365726a,test data is not accurate,"I have 79% of dice on 20% of train data as validation(all train data is used). In the leaderboard I have only 60%. I think this because test data is not accurate also as train data. It contains different mask detection for the same images. Look at this image: [Link]:https://i.imgsafe.org/9bbb12b97b.png It consists of 10 same images with masks/ And only 40% have mask. Such groups a lot! And if this can be for train data(and it can be corrected) it inadmissible for test data. How can a neural network predict right results if it tested with such images? For the same image one answer will be: mask yes another one: no mask. If only: Final score will not be based on the same exact subset data as the public leaderboard, but rather a different private data subset of your full submission—your public score is only a rough indication of what your final score is. You should thus choose submissions that will most likely be best overall, and not necessarily just on the public subset. But how can I choose right submissions if I have not right criterion? If this different private data subset is really accurate without real mistakes as on image above why you don't use 20% of your private data subset to test submissions and get a criterion to participants for choosing rightly the best submission? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124746/4455/dublicates.png",5,silver,imagehttps://i.imgsafe.org/9bbb12b97b.png,Wed Jun 22 2016 00:34:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21831,/competitions/ultrasound-nerve-segmentation,653rd
/alejandrodumas,Doubt on external data use meaning,"I have a doubt concerning the exact meaning of external data. Suppose that I want to use the following feature: is_sweet, that feature is True when the Product Name contains ""chocolate"" or ""vanilla"" for example, of course the definition per se of the feature depends only of the dataset but the insight that ""chocolate"" and ""vanilla"" is sweet isn't intrinsic of the data but external knowledge of the meaning of the words. Thanks and sorry in advance if the question is too silly!",0,None,2,Wed Jun 22 2016 01:55:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21832,/competitions/grupo-bimbo-inventory-demand,None
/tmamiya,Location Help,"Hopefully this helps others on a path(please let me know if this is the wrong path)! I think I might have figured out the coordinates of the 100k locations, simply put it's the x and y coordinates at 5 meters (accuracy) or less. (my assumption is that accuracy is in meters, and the x and y coordinates are in kilometers 10x10 kilometers is 6x6 miles just about the same size as San Francisco). I chose 5 meters b/c supposedly that is the generally accuracy of phone GPS's. Once you have this you can than layer on all of the other data points with their innacuracies and assign each location an amount of checkins. library(data.table) train <- read.csv(train.file, stringsAsFactors=F) test <- read.csv(test.file, stringsAsFactors=F) trainDT<-as.data.table(train) # ESTABLISH EXACT LOCATION OF PLACES # placeid_loc<-trainDT[accuracy< 5 & time > 0,.(x= median(x),y= median(y),accuracy=median(accuracy), time= max(time)),by = place_id] placeid_loc",0,None,ESTABLISH EXACT LOCATION OF PLACES,Wed Jun 22 2016 01:55:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21833,/competitions/facebook-v-predicting-check-ins,None
/arkanithes,Complete Beginner to Data Science looking for a direction to go,"Hi :) I'm a newcomer to Kaggle and a complete noob to data science, the most I've done is some light reading on the topic. I would like to learn with Python. Are there any resources/problems I can get started with? I'm kind of lost at the moment. Thanks",0,None,9,Wed Jun 22 2016 04:49:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21834,None,None
/nishadc,Suitable classification algorithm for more than 1000 categories,Which are the suitable classification algorithms when the number of categories are more than 1000. Combination of categories is not possible & as each class is distinct brands. One similar challenge was classifying objects using images (link below) but I could get any specific direction from few papers published regarding the same [Link]:http://www.image-net.org/challenges/LSVRC/2014/ Alternative approach if algo is not suitable is to build Wordnet/frequency based structure out of available brand-word data & create distance matrix from it Another one is to aggregate the categories & build 2 levels of brand prediction (not sure if it will be effective at all) Any help will be appreciated. Thanks in advance :),0,None,2,Wed Jun 22 2016 09:04:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21835,None,None
/wwang2,PANDAS seems to be too slow for this project,"I am using my own laptop (MAC Pro) with Python PANDAS to do this project, I am trying to calculate each entry to the submission file(around 7million rows), I roughly estimated the time consumption to do the all the calculation ~ on the order of 2 weeks! What I essentially do is to read in information from test.csv(CustomerID, ProductID, etc.) and compute an estimate using some model according to the relevant rows in the training set dataframe . It would be really helpful to know how people generally deal with this kind of situation, is there any easy way to enhance the performance of PANDAS, or should I just use another tool. Thank you",2,None,2,Wed Jun 22 2016 09:31:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21836,/competitions/grupo-bimbo-inventory-demand,1418th
/chopra,Logistic Regression to find KNN weights,LB ~ 0.57 with the weights derived. Note : x and y are multiplied by 1000 and then by weights,1,bronze,14,Wed Jun 22 2016 11:20:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21838,None,None
/x5365726a,"What is ""private data subset"" and ""full submission""?",I will be thankful if somebody explain these terms.,0,None,2,Wed Jun 22 2016 11:50:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21839,None,None
/colinpriest,Geocoding the locations using R and Nominatim,"I have written an R script to clean up the location data, geocode and then plot a map. Unfortunately it won't run in Kaggle scripts because the geocoding needs an internet connection. [Link]:https://s3-ap-southeast-1.amazonaws.com/tutorialfiles/map.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124790/4457/geocode.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124790/4458/map.png",6,silver,5,Wed Jun 22 2016 14:16:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21841,/competitions/grupo-bimbo-inventory-demand,None
/nigelhenry,OpenBoundary,Good catch. How can we exploit that for prediction purposes?,0,None,1,Wed Jun 22 2016 15:11:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21842,None,None
/beedata,One question about the overlapping grid cell in the public script,"I doubt there's some problem when we use overlapping grid cell to do predictions. The code in the PB script is like def process_grid(df_train, df_test): """""" Iterates over all grid cells, aggregates the results """""" size = 10.0 x_step = 0.5 y_step = 0.25 x_border_augment = 0.025 y_border_augment = 0.0125 preds = np.zeros((df_test.shape[0], 3), dtype=int) for i in range((int)(size/x_step)): x_min = x_step * i x_max = x_step * (i+1) x_min = round(x_min, 4) x_max = round(x_max, 4) if x_max == size: x_max = x_max + 0.001 df_col_train = df_train[(df_train['x'] >= x_min-x_border_augment) & (df_train['x'] < x_max+x_border_augment)] df_col_test = df_test[(df_test['x'] >= x_min) & (df_test['x'] < x_max)] for j in range((int)(size/y_step)): y_min = y_step * j y_max = y_step * (j+1) y_min = round(y_min, 4) y_max = round(y_max, 4) if y_max == size: y_max = y_max + 0.001 df_cell_train = df_col_train[(df_col_train['y'] >= y_min-y_border_augment) & (df_col_train['y'] < y_max+y_border_augment)] df_cell_test = df_col_test[(df_col_test['y'] >= y_min) & (df_col_test['y'] < y_max)] #Applying classifier to one grid cell pred_labels, row_ids = process_one_cell(df_cell_train, df_cell_test) #Updating predictions preds[row_ids] = pred_labels copy I understand the purpose of doing border augmentation. But when we do prediction for each cell, the test id in the overlapping part will be predicted for several times. But the code will continuously updating the predictions. That means the predictions for the test ids in the overlapping part are just based on the latest trained cell. I'm not sure if I understand it correctly. If I'm wrong, please point it out. Thanks",0,None,3,Wed Jun 22 2016 19:06:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21843,/competitions/facebook-v-predicting-check-ins,32nd
/jscheibel,curious about testing run times,"Hi guys, i work in my own code base (custom written frame work, not R or python) and i just wanted to get an idea of what kind of run time some of the other frameworks were taking on this data. I ask just cause at least in my case if I want to gbm and have it finish in a relatively short time (say under 30 minutes) I need to take some fraction (like 1-5%) of the data to work with. That being said, I finially got something I thought might produce a competitive result. so i went to run it and wow … takes along time. That is to say, i didnt think it would be much of a problem to do the processing of the final test data when the time came but dang…. it's been running 22 hours and shows no significant signs of being done (though those cores are all pegged and when i break the running code to see how its doing it IS moving forward). before now the only submission i've made was a simple format check, so it didnt do any real processing. anyone else seeing the runtime on this big data be that bad? are you avoiding certain processing mechanisms because of that? take all the time you want to answer apparently i've got hours :) possibly days.",0,None,12,Wed Jun 22 2016 20:35:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21844,/competitions/grupo-bimbo-inventory-demand,1205th
/larryfreeman,Accuracy and std dev,"I [Link]:https://www.kaggle.com/larryfreeman/facebook-v-predicting-check-ins/accuracy-and-std-dev-of-x-y/notebook a python notebook to take a look at the top-3 most checked-in places and the relationship between the accuracy measure and the std deviation for x,y. [Link]:https://www.kaggle.com/larryfreeman/facebook-v-predicting-check-ins/accuracy-and-std-dev-of-x-y/notebook I've noticed that the histogram of the accuracy values show roughly the same pattern across each of these locations and that the std deviation of y is lowest for accuracy (50-60) and is highest for accuracy (0-10). This suggests to me that accuracy is not a higher is better or lower is better. Accuracy is some measure that happens to result in a lower standard deviation or higher standard deviation. So far, I've only checked the top 3 most frequent check-ins. I'm not sure what it would be measuring. Probably one of the measures mentioned [Link]:http://www.igage.com/mp/GPSAccuracy.htm. What have others found out with regard to this topic?",1,bronze,10,Wed Jun 22 2016 20:41:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21845,/competitions/facebook-v-predicting-check-ins,23rd
/ksquared92,How does education affect lifespan?,This is counterintuitive as you'd expect that the average life expectancy would increase with increasing education (and its association with socio economic status). You do see such an association when you compare the different levels of college degrees. I'm guessing the reason you're seeing the highest average life expectancy for the lowest education is that people--particularly women--who are reaching ages such as 100 right now didn't have the opportunity for higher education 80+ years ago. I'm curious about how one might account for this?,1,None,1,Wed Jun 22 2016 21:25:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21846,None,None
/maabdullah47,Time goes fast for beginners,"Dear Experts Time goes over for beginner people like my case . The scripts posted her is very advanced to be understood By beginners . I want to start how I extract information from the image help me in Identifying to which group the Image belong e.g.: C0,C1,C2….etc I don't want from you the solution but I want useful materiel to read it In R I have one here : [Link]:https://staff.fnwi.uva.nl/e.e.vanloon/R/EBImage-introduction.pdf But I think it is far behind for this competition(State farm) . I think the main step corners stone scenario is : Draw each of the 9 Cases (C0….Cn) as hand draw For face movement or arm e.g hold mobile with 9 templates for each of The 9 cases then compare the test image with each Of the 9 draw template and register the similarity Degree for each case at the end the algorithm will Take the maximum number of the similarity degree for the Current image and do the same for the next image on The test images group. That's what I m think , any one please can help me and Other beginners who use (R) language to start our Coding ? Is that very difficult guys to help us ? Appreciate your help for all of kagglers.",0,None,3,Wed Jun 22 2016 21:47:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21847,/competitions/state-farm-distracted-driver-detection,None
/josephchen,Get neutral baby name,"Hi guys, my first R script, didn't finish yet",1,None,3,Wed Jun 22 2016 22:58:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21848,None,None
/misfyre,Simple XGBoost,"Very simple XGBoost, scores around .68 on LB. Parameters are without optimization.",0,None,4,Thu Jun 23 2016 07:57:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21849,None,None
/jnarhan,Collinearity and multi-collinearity,"Hello! I'm thinking about this problem over my lunch break and thought I'd post to the forum for your opinions. Collinearity and multi-collinearity have effects of reducing our confidence in the coefficient estimates being generated by the prediction engine. Since the predictive power of two almost identical (potential) predictors will be virtually the same on the prediction outcome, it also makes sense to eliminate redundancy of such variables (doing so would also be good practice for keeping things as simple as possible anyway i.e. achieving some degree of parsimony). I’m curious to know what approach other people use to: a) Detecting collinearity and multi-collinearity? b) Strategies you employ when looking to reduce the issue of highly correlated predictors (read: eliminate predictors, perform feature selection)? The approach I starting to take in this work, is to look closely at the predictors individually. So - do scatterplots and generating correlation matrices with the ultimate plan to threshold and eliminate predictors that are highly correlated with one another. I’m not sure if I’ll employ VIF analysis or use something like PLS as a feature selection strategy. What are your opinions/thoughts? Good luck with the work, Jay",1,bronze,5,Thu Jun 23 2016 08:36:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21850,/competitions/pneumonia-child-mortality-data624-16a,1st
/armanform,Facebook_V: Random Forest Grid,"This script needs more amount of RAM and time, therefore couldn't be run in kaggle. On my machine it took about 5 hours and about 8 GB RAM to train, result is 0.58015",1,bronze,6,Thu Jun 23 2016 09:11:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21851,None,None
/sr71nighthawk,How to Start,"Hi, I am new to kaggle. I saw this competition and was intrigued by the problem statement. However, I am unable to find suitable starting point. hope you guys can give me some direction.",-2,None,1,Thu Jun 23 2016 10:17:56 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21852,/competitions/facebook-v-predicting-check-ins,None
/borankulovb,Why don't Excel interpret the data as columns?,"When I open train.cs, Excel didn't interpret the data as columns instead the data is in one column separated by a comma.",0,None,2,Thu Jun 23 2016 10:30:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21853,/competitions/titanic,None
/raytaiwan12345,First Look,how to get the data in your data ??,0,None,9,Thu Jun 23 2016 13:33:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21854,None,None
/valeriur,accuracy and data for periodic time that hit the boundary makes cv worse,observed that many are using accuracy feature (df['accuracy'] = np.log10(df['accuracy']) * 10.0) and are adding data for periodic time that hit the boundary but then i try to do the same it definitively makes my cv score worse do you have the same inconsistency between cv score and lb score?,1,bronze,1,Thu Jun 23 2016 15:39:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21855,/competitions/facebook-v-predicting-check-ins,77th
/oldufo,Semi-supervised learning and test sync,"Dear admins, two questions: 1) is semi-supervised learning on test set permitted? 2) is automatic finding duplicates in test set permitted? On the one hand, it is fully automatic procedure. On the other hand it violates principle ""give prediction seeing single image only""",1,None,3,Thu Jun 23 2016 16:58:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21856,/competitions/ultrasound-nerve-segmentation,61st
/spideryzarc,Log_Mean_Plus LB: 0.47000,"For curiosity, how long time to execute this script in your machine?",1,bronze,23,Thu Jun 23 2016 18:28:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21857,None,None
/tcash21,Winners Methodology?,Congrats Humberto Brandão! Any chance you will share your code?,6,bronze,2,Thu Jun 23 2016 20:12:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21859,/competitions/kobe-bryant-shot-selection,387th
/spraveengupta,Looking for a teammate or mentor,"I am a core aspirant to do predictive models / forecasting models and passionate to learn new things. I am looking for a teammate so that we can learn from each other. My Profile I have taken ""Intro to Machine Learning"" course by Sebastian in Udacity and ""Machine Learning"" by Andrew NG in Coursera. I use python to predict the models. I am well versed with SAS JMP - Data visualization software. I am aware of the popular M/L techniques to be deployed for prediction. Here is the link to my linkedin profile [Link]:https://www.linkedin.com/in/praveenguptas You can contact me @ spg2731476@gmail.com, if interested to team up with me.",0,None,5,Thu Jun 23 2016 20:56:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21860,/competitions/grupo-bimbo-inventory-demand,1290th
/krugerro,Fed up...need help,I'm new with data mining and this competition is my first. I did what I thought of and scored about 11.9 then I started to read forum and used some hints: use RF with N=100 (with higher I have surprisingly out of memory with 6GB and weka GUI). I added a lot of columns among wchich breed generalization. Till now I scored 11.1. This leads me to one conclusion. I have a logical error in my train data. Please help and find attachment prepared in excel. Maybe some of you sees what is wrong. I would be pleased with any suggestions. Thanks in advance. Maciej [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/124955/4459/train_show.xlsb,0,None,3,Thu Jun 23 2016 22:29:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21862,/competitions/shelter-animal-outcomes,584th
/tenaciousterrier,Installing XGBOOST in Python for Windows,"Does anyone know why this is so difficult and if there is an easy way? I spent half a day trying to download and install xgboost for Python, following every piece of instruction I possibly could. Eventually, I just got frustrated and went to R: install.packages(""xgbooost"") library(xgboost) And I was done. So, now I'm rewriting a lot of my code in R to build a model with xgboost. Seriously, I tried all of these different links and nothing I did worked to install xgboost for Python. Resources: Visual Studio method: [Link]:https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/13043/run-xgboost-from-windows-and-python Binaries from Guido: [Link]:https://github.com/gatapia/py_ml_utils/tree/master/lib Liberty Mutual Competition: [Link]:https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction/forums/t/15742/clear-instructions-to-install-xgboost-in-python Mad Over Data: [Link]:http://madoverdata.com/machine-learning/installing-xgboost-in-windows/",0,None,13,Fri Jun 24 2016 06:50:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21864,/competitions/facebook-v-predicting-check-ins,86th
/shikharanideo1987,Unable to run script in Kaggle which runs with no errors in local desktop,"This is my first submission in Kaggle. I am unable to run script , getting an error "" Error in plot.new() : could not open file 'Rplot001.png' Calls: wordcloud -> plot.new "". Not getting any such error while running it in RStudio in my desktop. Please help. Regards, Shikha",0,None,1,Fri Jun 24 2016 07:51:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21865,None,None
/hincaltopcuoglu,Creating Full Predicted Test File,"Hi all, I researched all codes on the scripts section but i haven't seen any code about how to predict 8 million row_id on the test file. There are some predicted samples but I dont know how to predict 8 million records on test file using R. Is there any R code about it ? Thanks",-1,None,1,Fri Jun 24 2016 08:23:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21866,/competitions/facebook-v-predicting-check-ins,1106th
/liuhuang,"Does the score higher,it shows the better?",,0,None,2,Fri Jun 24 2016 09:11:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21867,/competitions/facial-keypoints-detection,None
/sanjay1970,Grupo Bimbo data analysis,systematic and detailed analysis. Thanks for sharing,8,bronze,19,Fri Jun 24 2016 12:43:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21868,None,None
/endintears,Recurrence relation,"Really well explained, thanks for sharing!",1,bronze,10,Fri Jun 24 2016 13:38:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21870,None,None
/vinodpathak1991,Can Pyspark be used for this dataset?,"I am trying to use Pyspark(on AWS cluster) on this dataset but I am facing challenges, like feature selection and feature engineering. And I have doubt can this technique be used for much bigger datasets(suppose > 1 TB)?Any Suggestions are greatly appreciated.",1,None,3,Fri Jun 24 2016 14:53:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21872,/competitions/avazu-ctr-prediction,None
/drarfc,fastest way to write the csv,"Pandas dataframe is a nice way to write the csv file (attached). But can we beat that? Using a list is a very smart way… df = pd.DataFrame(preds, dtype=str, columns=['c1', 'c2', 'c3']) ds_sub = df.c1.str.cat([df.c2, df.c3], sep=' ') ds_sub.name = 'place_id' ds_sub.to_csv('submission_sample.csv', index=True, header=True, index_label='row_id') But can we beat this? Using less memory… [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125020/4461/write_csv.py",0,None,7,Fri Jun 24 2016 20:03:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21873,/competitions/facebook-v-predicting-check-ins,105th
/tiagofabre,Games into NN inputs,"Hello guys! I would like to make a CNN to recognize objects of games, and use that result to make an AI (with traditional programming). I know the behaviour of the NN and the tools I should use to train it, but I don't know how to turn the game into an input for the neural network. After search I didn't get something useful. Do you know some tool (libs, frameworks, programming languages) to make that? Should I transform the game screen into a video and use just some frames of the video just like is made with images ? is there any lib to make that process easier? Thanks…",0,None,2,Sat Jun 25 2016 00:42:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21875,None,None
/gogogovictor,Will random forest tree result get better as n_estimator being larger?,"Hi, all, I see the answer here and people says: yes, the better, the score is higher but the running time is slower.(the first attachment is one of the answers) [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/4092/how-to-tune-rf-parameters-in-practice Furthermore, I check the document for scikit learn [Link]:http://scikit-learn.org/stable/modules/ensemble.html#parameters It says: The main parameters to adjust when using these methods is n_estimators and max_features. The former is the number of trees in the forest. The larger the better, but also the longer it will take to compute. However, when I was doing the Titanic Kaggle case and try to use cross validation to tune the n_estimator, I find that the score of accuracy is not increasing monotonously as n_estimator going big. Here is the plot result, and I can see that the lowest value is when n is very small ！(See my second attachment named plot) Can anyone help me to solve this conflict? Thanks from sklearn import cross_validation from sklearn.ensemble import RandomForestClassifier score_list=[] for n in range(10,2000,5): alg = RandomForestClassifier(random_state=1, n_estimators=n, min_samples_split=2, min_samples_leaf=2) scores = cross_validation.cross_val_score(alg, titanic[predictors],titanic[""Survived""], cv=10) score_list.append(mean(scores)) copy [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125043/4464/Untitled.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125043/4465/plot.png",0,None,2,Sat Jun 25 2016 01:26:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21876,None,None
/huklajj,Hello World!,,0,None,1,Sat Jun 25 2016 03:10:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21877,/competitions/snu-bda2-ageprediction,None
/bhasina,New To Machine Learning,"Hi Kagglers, I'm new to machine learning and would like to start with this airbnb challenge in R. Any tips on what could kind of different classifiers I might use here? I am planning to use knn classifiers as my first technique. Any help would be appreciated. Cheers!",0,None,1,Sat Jun 25 2016 06:16:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21878,/competitions/airbnb-recruiting-new-user-bookings,None
/del=a7c6464e8da00250,custom loss in xgboost,"For now I do some task about regression, and in this case I use [Link]:https://en.wikipedia.org/wiki/Mean_absolute_percentage_error metric. I really need to try to use xgboost with custom objective (because other custom in my case has bad scores) , but i don't understand how to implement same way as is in the [Link]:https://github.com/dmlc/xgboost/blob/master/demo/guide-python/custom_objective.py We need compute gradient of loss function and I in my case have this: L=1N∑yti−ypiyti dLdyt=ypi−abs(1−ypiypi)yp2i dLyp=−abs(1−ypi)ypiypi So I have to arrays with values of partial derivitives, but as I [Link]:https://github.com/dmlc/xgboost/blob/master/demo/guide-python/custom_objective.py I must return just one N size array. I'm confused now ;( Thank you for any help!",0,None,2,Sat Jun 25 2016 08:17:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21880,None,None
/kuanchen,What does Add data that periodical hit the boundary mean,"Hi everyone I saw some script have this preprocessing by adding data that periodically hit the boundary, After working several weeks in this competition, I cannot quite understand this procedure. Thank in advance !",0,None,2,Sat Jun 25 2016 08:39:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21881,/competitions/facebook-v-predicting-check-ins,71st
/huklajj,'masked_data_gender.csv' 데이터 분석,"[Link]:https://gist.github.com/hukla/af2b08907eee30038238f28688ab551e 위 링크를 참조하세요, 도움이 되셨으면 좋겠습니다 :)",0,None,5,Sat Jun 25 2016 13:52:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21882,/competitions/snu-bda2-genderprediction,13th
/lfiaschi,Image hashes - anybody willing to share,"Hi, I takes insanely long to download these images on my computer and also, I am runnnig out of disk space. If anybody is willing to share some precoumputed image hashes / feature it would be REALLY great",3,bronze,1,Sat Jun 25 2016 18:02:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21884,/competitions/avito-duplicate-ads-detection,167th
/databang,Random forest sklearn cross_val_score anomaly,"Does scikit-learn cross_val_score function normally allows you to predict the score of your submission? I am facing a weird behaviour where I am getting cross_val_score value of ~0.81, but my submission earns only 0.68. Is this normal behaviour, can this even be explained? I am using RandomForestClassifier, features are: Age, Pclass, family size, Sex. Any insights would be greatly appreciated. Rokas",0,None,1,Sat Jun 25 2016 23:57:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21887,/competitions/titanic,None
/,[Deleted Kernel],,0,None,4,Sun Jun 26 2016 09:45:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21889,None,None
/crailtap,Can the submission file size tell you if you get a good score,"Hi, maybe im not the only one who noticed, that the submission file size varies a lot. I got file sizes from over 6mb and resulted in a score of ca 46 on the LB which was basically i predicted a mask for every image even if the image shouldnt had one. Also subfiles with 1mb size where almost all entries were empty -> bad score (50) What i noticed is, that if the submissionfile size is between 2mb and 3.5mb your score will get around 60 on the LB tending to get better LB the more the file size gets to the 2MB. So maybe this helps in saving daily submissions :D best wishes, Chris",1,bronze,1,Sun Jun 26 2016 10:53:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21890,/competitions/ultrasound-nerve-segmentation,47th
/gledsonmelotti,Aula Davi e h2oGrid,"Alguém poderia me mandar o material de aula do Davi, pois não consigo encontrar no minha ufmg. Mais uma coisa, alguém conseguiu compilar o h2o.grid? Pois o meu afirma que não reconhece os comandos strategy, max_model e ntrees.",0,None,11,Sun Jun 26 2016 13:27:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21891,/competitions/eee901-2016-01-tp-final,9th
/zydariv,Cannot make a submission,"Hey guys, we finally managed to format our csv file correctly, but the submission page tells us, that it is wrong: The first lines of our submission: (the numbers have been changed): ""img ,c0 ,c1 ,c2 ,c3 ,c4 ,c5 ,c6 ,c7 ,c8 ,c9"" next lines are: ""image-name.jpg 0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1"" our numbers have up to 10 decimal places. Of course the table is sorted by the image names in ascending order. cheers, Zydar [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125113/4468/IMG-20160626-WA0012.jpg.jpeg",0,None,2,Sun Jun 26 2016 14:10:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21892,/competitions/state-farm-distracted-driver-detection,1026th
/bytestorm,Testing your model against a small benchmark dataset,"Hi all, I am new to this platform and to such large amount of data. After struggling with it for quite some time I am able to build up a simple model. Now I want to check it. Kaggle requires you to submit the solution to all the 7M queries at once to get a score. It is taking quite some time to produce the result for all the queries (my laptop isn't that powerful also). So is there any method that I can use to check how my model is performing. Checking against median or mean solution simply wouldn't work as far as I can guess by looking at the evaluation metric. If possible, this would help me to check against a smaller test size maybe ~40K.",0,None,2,Sun Jun 26 2016 15:30:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21893,/competitions/grupo-bimbo-inventory-demand,1051st
/danofer,"Trying to check a submission: ""This competition does not have a solution to test a submission against""","I'm trying to upload my predictions, and i'm getting an error: ""This competition does not have a solution to test a submission against"" Is there any way to check my submissions? (i.e to see how well my predictions o nthe test set are?)",3,None,1,Sun Jun 26 2016 15:48:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21894,/competitions/unimelb,None
/siddharthsomani,Python IDE,I am new to Data Science. I want to know which is best IDE for python to do practice Please help,2,None,14,Sun Jun 26 2016 17:40:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21895,None,None
/yilihome,Pre-Computed Image dHashes,"I haven't had the time to work on them, except looking at a few of the hashes and seem to pick up similar images well (i.e. very small hamming distance for certain identical photos with and without a watermark). Could be helpful for people with slower internet (the zipped hashes are about 350mb, which is still better than 50gb+ of raw images). Upvote if you find them useful. Thanks and good luck! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125131/4470/image_hash_0.7z [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125131/4471/image_hash_1.7z [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125131/4472/image_hash_4.7z [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125131/4473/image_hash_2.7z [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125131/4474/image_hash_3.7z",28,gold,5,Sun Jun 26 2016 18:16:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21896,/competitions/avito-duplicate-ads-detection,12th
/x5365726a,How to perform correctly shift of image?,"We can try to increase accuracy by random rotations, shifts of images and other transforms. When we do shift of image what to fill with in the rest of image? We haven't any data in the left,right,top or bottom outside the image. Fill it with zeroes, random data, parts of other images? I don't know what would be the best. I am still thinking about this. Maybe somebody would want to discuss this…",0,None,2,Sun Jun 26 2016 19:52:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21898,/competitions/ultrasound-nerve-segmentation,653rd
/chu1990,"The address in ""town_state.csv""","I try to search the address which contains the ""Town"" and ""State"" on Google map. But I can not find anything meaningful. I was wandering what do ""Town"" and ""State"" mean? Could someone from Mexico could help us on the meaning of ""Town"" and ""State""? I hope this could also help others.",1,bronze,6,Mon Jun 27 2016 06:46:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21901,/competitions/grupo-bimbo-inventory-demand,324th
/gospursgo,eta decay of xgboost in R,"It seems that this is already implemented in Python, but does any one knows how to do this in R? Thanks.",0,None,1,Mon Jun 27 2016 07:01:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21902,/competitions/facebook-v-predicting-check-ins,35th
/henshinger,Use of APIs,There's no mention of whether or not the use of APIs are allowed. I assume they count as pre-trained models that are not meant for the classification of roofs and are therefore allowed. Please correct me if I am wrong. Thanks,0,None,1,Mon Jun 27 2016 08:50:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21903,/competitions/data-science-game-2016-online-selection,34th
/omaymas," (error:replacement has 1 row, data has 0) Rmd works fine on Rstudio","Dear All; I knitted an Rmd file on Rstudio and I got no errors. When I copied it [Link]:https://www.kaggle.com/omaymas/d/berkeleyearth/climate-change-earth-surface-temperature-data/major-cities-trends , I get the error Error in eval(expr, envir, enclos) : replacement has 1 row, data has 0 Calls: render … mutate -> mutate_ -> mutate_.tbl_df -> mutate_impl -> .Call Execution halted I am sure the variables exist. The chunk include functions from dplyr, Broom, and purr, which were already loaded. ```{r comment=NA} cmodels_details<-cmodels %>% mutate( glance_lm=Model %>% map(glance), #model summary: rsquared... rsq=glance_lm %>% map_dbl(""r.squared""), #extract rsquared glance_gam=ModelGam %>% map(broom::glance), #GAM model summary AIC_gam=glance_gam %>% map_dbl(""AIC""), #extract AIC tidy_lm=Model %>% map(tidy), #model estimate: coeff... augment_lm=Model %>% map(augment), #observation stats: resid,hat... res=augment_lm %>% map("".resid"") #extract resid ) ``` copy Any clue? Is there something I used that is not supported on Kaggle? BR",0,None,2,Mon Jun 27 2016 14:16:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21906,None,None
/ybabakhin,Products Clustering,Simple spherical k-means clustering by product names,0,None,4,Mon Jun 27 2016 16:25:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21908,None,None
/romainvincent,Session parser?,"Hello everyone, I have a few questions regarding this data set : It seems that there are some discountinuities in player logs. For instance, some players are reported inside a raid dungeon for three consecutive logs (about 30 min of gameplay), then in distant place three days later, then again in another dungeon for one log only, and so forth. I'm aware that you can travel very fast using teleportation, but even so this sequence of events seems really odd. Is there a way to figure out how many logs are missing? Due to these inconsistencies, it's difficult to rely on the timestamps to identify individual game sessions and their duration. Is there a way around?",0,None,2,Mon Jun 27 2016 16:32:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21909,None,None
/hurlburt,Congratulations,Congratulations to all those who managed a perfect score on both the public and private leaderboards! Awesome job.,0,None,3,Tue Jun 28 2016 02:42:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21912,/competitions/draper-satellite-image-chronology,6th
/c137rick,Memory Required for reasonable computation time?,Currently upgrading to 16gb RAM but some of my computations appear to take forever. Do people run their scripts on computers with more memory? GPU processing? Currently using Lenovo y510p.,0,None,3,Tue Jun 28 2016 05:18:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21915,None,None
/chabir,100% ML,"Congrats to the winners on this unusual competition! For those who focused on a 100% ML solution, would you please describe your approach and go in some of the details of the techniques used? Personally, I tried to register, find the common area, dig into the opencv package, use flatten histograms and file size as features and calculate average image as referencial without success since I got beaten by all the public basic public script including the infamous benchmark ""1 2 3 4 5""… How did you handled this evaluation metric that doesn't forgive any mistakes ?",0,None,8,Tue Jun 28 2016 06:29:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21916,/competitions/draper-satellite-image-chronology,226th
/valeriur,process grid in parallel ,"if you are using multicore machine (and i can bet that you do) this script demonstrates how to use all cores, please beware to set line 127 to a number which divides number of columns without reminder(for ex. if you have x step equal to 0.5 you will have 10/0.5 = 20 columns hence you can use 2, 4, 5, 10 or 20 parallel processes)",1,bronze,2,Tue Jun 28 2016 08:45:13 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21917,None,None
/del=a0b954cde2018d81,Public versus private leaderboard data split,"Hey, Do I understand it correctly that the predictions for week 10 are only used for the public leaderboard, but the predictions for week 11 are the ones that will be used for the final private scoring? The train and test dataset are split based on time, as well as the public and private leaderboard dataset split. So why should we try to predict week 10 besides fooling ourselves that we are high on the leaderboard? Kasper",4,bronze,20,Tue Jun 28 2016 08:48:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21918,/competitions/grupo-bimbo-inventory-demand,1951st
/wikunia,See private score of all own submissions,"Hi everyone, thanks for the great competition to kaggle and Draper. Is it possible to see his own private scores for every own submission as it is possible on other competitions? Would be interesting how they vary ;) Thanks again",0,None,1,Tue Jun 28 2016 09:20:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21919,/competitions/draper-satellite-image-chronology,37th
/dselivanov,How far you can go without images?,"For me - played with data on this weekend, got ~ 0.85. And I think it is doable to receive ~0.9.",0,None,6,Tue Jun 28 2016 09:38:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21920,/competitions/avito-duplicate-ads-detection,83rd
/mudit1,Feature selection,"How are you all approaching the analysis? Are you using all data that is available into your models or doing some exploratory analysis and applying judgement on what is useful and what is not? I want to ask participants whether it is better to use all of the columns, or drop some out? What are some things to look out for? Here is a good discussion on this topic: [Link]:http://machinelearningmastery.com/an-introduction-to-feature-selection/ Colin's blog also has some tips on feature selection: [Link]:https://colinpriest.com/tag/glms/ And here is how the winners of a competition organised by Actuaries Institute Australia approached their analysis: [Link]:http://www.actuaries.digital/2016/03/07/predicting-mortality-around-australia-actuaries-take-home-kaggle-cup/ Is anybody using a similar approach for this competition?",1,bronze,3,Tue Jun 28 2016 10:28:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21921,/competitions/sas-analytics-challenge,54th
/wildwizard,Statistical problem before ML,"Hello I have a little problem. I finally was able to convince my boss to let me go into ML things on some dataset. But before, he wants to be sure that the data are relevant in a statistical way (which I indeed agree with). The problem is, while I usually have no difficulty to choose my tests, here I am a bit confused, so I call to the wits of the most statistical headed among you fine people to help me clarify this mess. The data set is made of transcriptomic datas. Actually we want to know if we can get some ""before/after"" profiles. But first we have to make the statistical comparison for this. I have a group of 10 individuals, each of which I made 7 transcriptomic analyses before treatment and 7 after (7 to ensure some statistical robustness). Each analyse give a list of genes with an ""absolute expression value"" (think "" an absolute value with no unit"", which represents some signal intensity). Obviously, results are paired with each individual is its own control. Also, I only have two groups since I want to see if there is an effect of treatment (someone suggested me that each individual was a separate group of measures to be compared within itself, but I don't think it is right. Am I wrong?) This is not really a case of repeated (neither nested) anova since the repeat is not about having n measures in the same number of conditions, but 7 measures for 1 condition and 7 for another. Also, I compare z groups of 7 measures to z groups of 7 measures, since I have these 14 measures for each protein identified in the experiment. My guess is that I should go it this way: 1) calculating means and variance for each protein and individual and condition (before/after). 2) using paired t test on each mean before after pair (/protein/individual) to test if means are equals, and test for variance equality with F Test. This would be assuming data is normally distributed (which I guess is not, so I could go with a Wilcoxon signed test intead. But i would like to test for normality, too.) 3) for individual and proteins whose means are variable between conditions, calculate ratio. In the other case, use value 1. (here I don't know how to take the result of variance testing into account. Maybe eliminate those means whose variance are different, but I don't think it really make sense regarding my problem) 4) with this new protein as y-axis, individual as x-axis table, filled with mean ratios, I am not sure how to go? making a mean again with the ratios of each individuals for before measures and after measure seems to be wrong. Comparing the means of each individual this time between the groups, with another paired t test might seem the right way to go. But I am confused. -I don't know how to unravel the fact that I have these proteins for each measure. Should I consider these are ""multiple variables"". -Is it right to make 2 chained paired t-test in this model, wouldn't there be another good approach that would only take one step? What do you think? Thanks by advance for enlightment.",0,None,4,Tue Jun 28 2016 11:25:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21922,None,None
/nikhil0996,Validation score doesn't match LB score,"My local validation score doesn't match the leaderboard score . It is much lesser than the leaderboard score. I am new to this , so any suggesstions as to what might be causing this? I am using a 80/20 training validation split",0,None,13,Tue Jun 28 2016 13:32:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21924,/competitions/ultrasound-nerve-segmentation,119th
/f00tballfever,Help the newbies ,"Hi there guys, bit late to the forums and the competition but I was wondering if some of you guys could help newbies like me improve our mistakes by posting your codes from start to finish. Also general advice would be great too. -SAB",0,None,2,Tue Jun 28 2016 14:42:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21925,/competitions/can-we-predict-voting-outcomes,None
/tripletdad,"Which is the actual store, Agencia or Cliente?","So which is the actual store, Agencia or Cliente?",0,None,9,Tue Jun 28 2016 15:15:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21927,/competitions/grupo-bimbo-inventory-demand,None
/tripletdad,Missing demand info,What are some of the strategies one can use for products that are in test but not in train (new products). How would one go by estimating demand for these products?,0,None,4,Tue Jun 28 2016 15:17:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21928,/competitions/grupo-bimbo-inventory-demand,None
/lishubin,does xgboost work in this competition,"hello all, i have been trying random forest and knn as most of you. when i started trying xgboost, i got really bad result around 0.3 range and the training time is also long. i am wondering if anyone have any success with xgboost? i am using multi:softprob and pick the top 3 probabilities. any feedback or thoughts are truly appreciated.",0,None,16,Tue Jun 28 2016 15:23:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21929,/competitions/facebook-v-predicting-check-ins,31st
/bindukumar,Anaconda Python 2.7.x 64bit :overcoming out of momory error.,"Hi all , my laptop specifications are as follows. windows 7 64 bit ultimate os 4 gb ram. running python : Anaconda 2.7.x 64 bit: while iam using data=pandas.read_csv() I am getting out of memory error. Is there a way to work with this data set. train.csv is appox 3.gb after uncompressing. any insight will be highly appriciated.",0,None,3,Tue Jun 28 2016 15:30:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21930,/competitions/grupo-bimbo-inventory-demand,None
/vicensgaitan,Pure ML solution 0.768 Public/ 0.692 Private,"Pure ML (blind) analysis getting 0.76786 in Public and 0.69209 the Private Leaderboard. I’m convinced that with more training data, this methodology can get a score of .8x or even .9x FEATURE GENERATION (most of the tools are available at [Link]:https://www.kaggle.com/vicensgaitan/draper-satellite-image-chronology/image-registration-the-r-way ) a) Key point detection For each image: Detect keypoints points using Harris. Generate descriptors: 30x30 (downsampled to 9x9) oriented patches for each keypoint b) Inter set registering: For all sets, for every couple of image: Identify common points using RAMSAC and fit a homomorphic transformation. Keep values of the transformation and patches for the identified inliers c) Extra set registering: sampling from the full database of descriptors, using knn, find candidates to neighbor sets, and then register every possible image from one set to every image to the second set. Look for “almost perfect” matching taking into account a combination of number of identified common keypoints and the rmse in the overlapping region as a mathing value d) Set Clustering: using the previous matching information built a graph with sets as nodes and edges between neighbor sets with weight proportional to the matching value. The connected component of this graph gives the set clusters without need to explicitly georeference the images. [Link]:https://github.com/gaitanv/Draper/blob/master/Clusters.png?raw=true PATCH LEVEL MODEL (Siamese gradient boosting) The model is trained over pairs of common keypoints in images of the same set, trying to predict the number of days between one image and the other (with sign).The features used are: Patch im1 (9x9), Patch im2 (9x9), coefficients from the homomorphic transformation (h1..h9) , number of inliers between both images and rmse in the overlapping region The model is trained with XGBoost to a reg:linear objective using 4-fold cross validation (assuring that images in the same cluster belongs to the same fold) Surprisingly, this model is able to discriminate the time arrow quite well [Link]:https://github.com/gaitanv/Draper/blob/master/holdout.png?raw=true IMAGE LEVEL MODEL Average the contribution of all patches in an image. Patches with absolute value of prediction below certain threshold level alpha are discarded. If the Patch Level Model were “perfect” this will result in the average of difference in days from one image to the rest of images in the set, so the expected values for an ordered set will be -2.5,-1.5,0,1.5,2.5 respectively. In practice, the ordering is calculated by sorting this average contribution. Additionally, the average is refined by adding the average of images from overlapping sets (using the graph previously defined) weighted with the edge value times a coefficient beta, and iterating until convergence. The local CV obtained is around 0.83 +/-0.05 The optimal alpha and beta are adjusted using public leader board feedback ( training set is not enough representative of test set) and as expected, there were some overfitting and a dropping of five positions in the private leaderboard… :(",21,gold,4,Tue Jun 28 2016 18:22:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21931,/competitions/draper-satellite-image-chronology,22nd
/ma350365879,Outlier Analysis,"No idea why the kernel shut down. Maybe edit it later. Question: I find there are lots of outliers for each place_id. What if we delete those outliers before training the data? But before answering this question, how shall we label those outliers? The way I identify outliers is to use nearest neighbors, and if the check in is an outlier, the nearest point around it should be far away. Is there anyone doing similar things?",1,bronze,2,Tue Jun 28 2016 20:09:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21933,None,None
/vtomecek,1st place - How to win the competition if you know nothing about image processing,"For this competition I trained the neural network (the one inside my skull). It took about 2 weeks of staring at the images until the magic happened. Here are the main ideas. High level algorithm: Split the data by location For each location match together the pictures that were taken in the same day Solve each location using any clues from any picture set within that location Ad 1: We know that the pictures were taken in the southern California and on the pictures we see ports, airports, landfill, golf field, Point Loma Stadium … So using Google Maps it is relatively easy to find all the locations: Train set: Carson (LA County), Port of Long Beach (LA County) Test set: San Diego (near downtown), Point Loma (W peninsula of SD), La Jolla (N of SD), Sycamore Landfill (E of San Diego/Santee), Sycamore Estates (N of landfill) It is not necessary to point the exact locations of the set, discovering the locations that were taken within one flight is sufficient. (I think that Sycamore Landfill + Sycamore Estates were taken within one flight, similarly San Diego + Point Loma and Carson + Long Beach, so there might be only 4 locations if we merge these together). Ad 2: The idea is that the plane flew into the area, took all the pictures within a couple of minutes and then flew away. Thus if the pictures were taken in the morning, all the shadows should point to the left, if it was evening then they should point to the right, and during the noon to the top. If it was cloudy during the flight over that location we should see only weak shadows (there was one such a day over the whole San Diego area, that was very easy to spot). If we look at the map with marked locations, we see that the plane followed the straight lines when it took the pictures, so the neighboring images within that line should have very very similar orientation and zoom and in many cases also some overlap. Overlaps and shadows were most important features in this step (shadows were used mainly in cities because they very easier to evaluate by hand + they could bind the areas that didn't overlap; overlaps were the most reliable, but it took a little bit longer to match the pictures by hand using overlap than using shadows, they were mainly used in forests when the shadows very hardly visible, and when the two shadows seemed very similar). In some cases we could also use secondary features like presence/absense of cars at some location (indicator of the weekend), presense of clouds, presense of puddles after a rain. In the train set the zoom was an important feature. Ad 3: In this step we could use any clue from any set from the location to solve the whole location. Building sites, tracks in the mud, piles of sand were the most important and reliable features. Presence/absence of the cars in from of hypermarkets (weekend), presence of the cars in front of church (Sunday), presence of puddles after a rain (Point Loma) were also very important. Parking patterns of personal cars were not very reliable, because people use them every day and they may have a reserved or preffered parking place and the presence of the car at the very same place might not be a strong indicator of the closeness of that days. However the parking patterns of the bigger trucks and boats were pretty reliable. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4488/big_picture.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4489/train_set.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4490/test_set.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4491/carson.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4492/port.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4493/san_diego.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4494/point_loma.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4495/la_jolla.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4496/sycamore_landfill.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125346/4497/sycamore_estates.png",22,gold,High level algorithm:,Tue Jun 28 2016 21:51:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21936,/competitions/draper-satellite-image-chronology,1st
/jadielam,Keras script to speed up computations,"This is a script that uses the pretrained vgg-16 model for retraining. I have created this script to speed up computations and to be memory efficient. It does two things: It uses generators, so it does not load all the data into memory. It pre-computes the values of the weights for all the images (bottlenecks), so that they don't need to be computed at each time. The script has a problem, it does not work well. It keeps a loss of about 14 at every epoch and it does not come down. Accuracy stays around 0.10, as if it would only be classifying all samples to one class. If anyone could help pointing out the error. I know it must be something small somewhere.",0,None,3,Wed Jun 29 2016 00:40:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21937,None,None
/bbud148,ANOVA in R,Thanks for the brief tut!,0,None,1,Wed Jun 29 2016 02:52:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21938,None,None
/wangruobing888,What kind of computer do you use in this kind of competition?,"Hi all, I am quite new to kaggle competitions, only participated in several with relatively small data sets (<200 mb). However, for this kind of competition, the dataset is so big. What kind of computer are you using?",0,None,5,Wed Jun 29 2016 02:56:31 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21939,/competitions/ultrasound-nerve-segmentation,None
/zeroblue,Mad Scripts Battle Z,Scores 0.58220 on the public leaderboard. Code also has built in validation: Just change the val_start_day variable to how many days to keep in the train set ( I like 455) and it will predict against the remaining days.,3,bronze,30,Wed Jun 29 2016 03:00:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21940,None,None
/benjaminrobinson,Where Have All the .400 Hitters Gone?,What are your thoughts on the reliability of the old baseball data? I feel a lot more comfortable about the quality of the data on the more recent years of players when the game was followed closely by professional statisticians and news organizations. Thoughts?,1,None,3,Wed Jun 29 2016 03:37:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21941,None,None
/icandoit,Titanic Journal,"Hi franperez. I am new to kaggle and want to upload a report with csv. Could you please tell me how can I do it? When I am trying to submit a zip file including report and csv output file, its showing error that columns are not found. Please suggest.",0,None,4,Wed Jun 29 2016 05:05:23 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21942,None,None
/icandoit,Lasso Ridge Implementation,"I am new to kaggle and want to upload a report with csv. Could you please tell me how can I do it? When I am trying to submit a zip file including report and csv output file, its showing error that columns are not found. Please suggest.",0,None,9,Wed Jun 29 2016 05:05:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21943,None,None
/icandoit,Titanic survival prediction,"I am new to kaggle and want to upload a report with csv. Could you please tell me how can I do it? When I am trying to submit a zip file including report and csv output file, its showing error that columns are not found. Please suggest.",0,None,6,Wed Jun 29 2016 05:05:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21944,None,None
/icandoit,[Deleted Kernel],"Hi Kierisi, I am new to kaggle and want to upload a report with csv. Could you please tell me how can I do it? When I am trying to submit a zip file including report and csv output file, its showing error that columns are not found. Please suggest.",0,None,2,Wed Jun 29 2016 05:08:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21948,None,None
/vrkrishn,Set Correct Image Extensions,"Specifically, I wrote this because Torch7's image package uses the file extensions to determine the type",0,None,1,Wed Jun 29 2016 06:49:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21949,None,None
/gunnvant,Data Audit,"This script does data audit, for each variable it checks computed various metrics and then writes them into a csv file. Such an analysis helps in understanding the variables better. For each numeric variable, the script computes mean, sd, unique values, min, max, and percentiles from 5th to 99th. Missing values and percent of missing values per variable are also computed.",0,None,2,Wed Jun 29 2016 07:18:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21950,None,None
/datadave,KNN in R with manhattan distance,"I've been very intrigued by how well KNN has done in this competition. It's the first time I've seen that algorithm dominate, at least in the Kaggle scripts. I've been learning a lot, but haven't found R KNN packages that rival what is coming out of python sklearn. Are there any good KNN packages that are efficient and handle Manhattan distance? I've tried: FNN::knn (Euclidiean only) knnGarden::knnVCN (slow) scrime::gknn (can't handle more than 10 classes)",1,None,3,Wed Jun 29 2016 07:45:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21951,/competitions/facebook-v-predicting-check-ins,194th
/pinocchio,Grid_GaussianNB,Lets forget about k-nearest-neighbors and fit a model that can generalize. A simple Gaussian Naive Bayes gives 0.49497 without any voodoo or black magic.,-1,None,9,Wed Jun 29 2016 13:45:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21955,None,None
/alexandrudaia,Default risk  features,I am wondering what kind of features are in general used for credit default risk?,0,None,2,Wed Jun 29 2016 14:43:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21956,None,None
/sergeycherkasov,A rookie question,"Dear All, I have strange situation. I use xgboost and validate the result of model two ways: I take one week as test, 8 week as train, or I do the same on loop so every week became test one time. Both ways I have RMLSE about 0,16. On leaderboard it is about 0,5. I can not understand why. Could you please give me a hint where should I look for mistake? Best regards! PS Just in case, here is code for RMLSE, should be fine I suppose e <- sqrt(mean((log(pred + 1) - log(target + 1))^2)) copy",0,None,2,Wed Jun 29 2016 16:44:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21958,/competitions/grupo-bimbo-inventory-demand,125th
/cbcb1209,Meaning of data fields,Can someone please explain to me what sales channel(Canal_ID) and route(Ruta_SAK) mean in this context?,0,None,1,Wed Jun 29 2016 17:34:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21960,/competitions/grupo-bimbo-inventory-demand,861st
/radustoicescu,Google Compute Engine and xgboost,"I am trying to use an instance with 8vCPUs, but looking at the CPU utilization and considering the running time, the training doesn't seem to use all the cores. I have tried nthread = 8 and nthread = -1. Anyone has experience with this?",1,bronze,2,Wed Jun 29 2016 20:14:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21961,/competitions/facebook-v-predicting-check-ins,54th
/yfiua6,Can I submit remotely?,My Internet upstream is so slow (half a hour to submit). I wonder if it is possible to directly submit from my cloud server.,0,None,5,Wed Jun 29 2016 20:33:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21962,/competitions/grupo-bimbo-inventory-demand,1578th
/troyshu,runnes,"Quick question: how did you arrive at the weight of 0.57 for the product overall ""mean""?",1,bronze,3,Wed Jun 29 2016 21:51:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21964,None,None
/alexmulo,Neural Network using Keras,"Hello guys, I'd like to use a neural network using Keras, but I'm not sure about the code to use to set the model. I did this: model = Sequential() model.add(Dense(100,input_dim=X_train.shape[1])) model.add(Activation('linear')) model.add(Dense(1)) copy What do you think, could it work or would you suggest something else? Thanks!!!",1,bronze,13,Wed Jun 29 2016 23:09:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21966,/competitions/grupo-bimbo-inventory-demand,611th
/aldente,Mad Scripts Battle Zzz,"Lower CV score = higher LB score ;)) Overfitting? Fixed n_neighbors = 31 (original), CV score = 0.527177 - LB 0.58220 Fixed n_neighbors = 37, CV score = 0.526973 - LB [Link]:https://www.kaggle.com/sv/281103 ---- overfit? Variable n_neighbors, CV score: 0.527336 - LB 0.58228 , with: n_neighbors = np.floor(np.sqrt(y.size) / 5.2).astype(int) copy For n_neighbors = np.floor(np.sqrt(y.size) / 5.0).astype(int), LB = 0.58236",2,bronze,6,Thu Jun 30 2016 03:35:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21967,None,None
/wakka83,New Kaggler missed deadline,"Hello everyone, I'm new to Kaggle and I missed the submission deadline for this competition by a few hours. After the competition is completed will the test set data (place ids) be uploaded? I would still like to check how I'm doing. Thanks.",0,None,1,Thu Jun 30 2016 04:25:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21968,/competitions/facebook-v-predicting-check-ins,None
/gregw134,Pretrained neural networks,"Hi, Does anyone know where I can find pre-trained neural networks? I'm looking for pre-trained networks for things like image recognition or word2vec that I can contribute to open-source software. Thanks",0,None,1,Thu Jun 30 2016 06:32:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21969,None,None
/tboats,Internet users overview by years,I recommend using a sequential palette from Color Brewer. It helps to convey ordered information such as the per capita internet usage plotted above.,3,bronze,4,Thu Jun 30 2016 08:19:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21971,None,None
/aikinogard,The last week is coming!,The last week is coming. Everyone will become crazy and the rank on the leaderboard may change a lot. Good luck everyone! How are you going to spend the final week? I will still trying new models and tuning parameters.,2,bronze,9,Thu Jun 30 2016 08:26:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21972,/competitions/facebook-v-predicting-check-ins,5th
/benhamner,Santander Submission Graph,"I did a [Link]:https://www.kaggle.com/benhamner/d/kaggle/meta-kaggle/santander-public-v-private-performance/ on Kaggle Scripts. [Link]:https://www.kaggle.com/benhamner/d/kaggle/meta-kaggle/santander-public-v-private-performance/ [Link]:https://www.kaggle.io/svf/281621/4460f3eef21794957048f204d6563dd8/santander_public_vs_private.png Overall, the public and private scores were highly correlated. However, there was one small cluster with relatively high public scores and low private scores. Does anyone want to investigate from the [Link]:https://www.kaggle.com/kaggle/meta-kaggle and see what's behind this?",1,None,4,Thu Jun 30 2016 09:00:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21973,/competitions/santander-customer-satisfaction,None
/benhamner,Santander: Public v Private Performance,I'm curious about the small outlier cluster with high public scores and low private scores. Anyone want to dive deeper and see what's driving this?,1,None,1,Thu Jun 30 2016 09:01:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21974,None,None
/aldente,Script_Competition_Facebook_V_2.1,"[Link]:https://www.kaggle.com/Alex, the CV score of version 6 (day > 426) is 0.52772 , which is indeed better than previous versions.",0,None,6,Thu Jun 30 2016 12:48:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21977,None,None
/bruttoblotto,Are XGBoost LogLoss and GBM Bernoulli Deviance Equivalent?,"Hi all, Question is related to the title, is the xgboost metric ""logloss"" equivalent to the gbm metric ""bernoulli deviance""?? I am getting wildly different values between two models and am trying to understand the relationship between the two. Thank you in advance --",0,None,2,Thu Jun 30 2016 15:24:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21978,None,None
/gongzhitaao,Just curious about the running time,"I'm just curious about all your guys' running time. This is my first time ever solving problems on Kaggle. The naive knn results in score around 0.3 which is disappointing but it is really fast. I was trying pruning+cluster+classifier per cluster but gave up since the running time was insane, by which I mean approx. 4-5 days. Acutally my job was killed by server because of limited resources. So I just wonder what is your approx running time and memory usage.",0,None,1,Thu Jun 30 2016 21:02:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21981,/competitions/facebook-v-predicting-check-ins,977th
/ermc23,trainset and testset - not matching fields,these two should have the same fields? why do they not? [Link]:https://www.quora.com/If-the-training-dataset-has-more-variables-than-the-test-dataset-what-does-one-do,0,None,6,Thu Jun 30 2016 22:00:24 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21982,/competitions/grupo-bimbo-inventory-demand,None
/rshekhar2,Bayesian Hyperparameter Optimization,"This script cannot run on the Kaggle VM, however, it should be trivial to run after installing the BayesianOptimization module pip install git+https://github.com/fmfn/BayesianOptimization.git copy This lets you vary the hyperparameters in a much ""smarter"" way than simple grid search.",1,bronze,4,Thu Jun 30 2016 23:12:26 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21983,None,None
/benhamner,Scripty McScriptface the Lazy Kaggler,Thanks for doing the analysis! This is something we'd been curious about and hadn't had the chance to do internally - it's definitely helpful as we think about the rankings. I wish there was some parallel ranking system that would reward posting useful and interesting scripts. We're planning on this :),2,bronze,17,Fri Jul 01 2016 00:52:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21984,None,None
/zeroblue,Modified grid kNN  17 z,"0.5285 on the LB Updated version uses Numpy in place of Pandas for the main loops: This reduces the memory usage and makes it a bit quicker. I also rearranged the preparing of the data to be more efficient, and the code now preemptively drops infrequent places as part of the preparation . This script should not get memory errors as often as the previous version. I also found moving the n_neighbors calculation n_neighbors = int((y.size ** 0.5) / cte) to before setting up the classifier saves a couple of seconds per loop. Also, I stole the parameter tuning from daten-kieker. :)",0,None,5,Fri Jul 01 2016 03:33:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21985,None,None
/benhamner,How Hillary Won The Primary 2008 to 2016,If you name it __output__.html then the html will be rendered in an iframe,1,None,4,Fri Jul 01 2016 05:43:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21986,None,None
/qingg1,real-time prediction,"Hi guys, I am working on a project focus on the balance of customer demand and car supply. The data conclude drivers' location and customers' location which is produced by a real-time data pipeline like kafka. What I want to do is to predict real-time demand and supply in a particular area. I am a rookie in machine learning. Could you guys give me some advice how to achieve it ? copy",0,None,1,Fri Jul 01 2016 10:00:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21987,None,None
/icandoit,Exploring Survival on the Titanic,"Hi Noelia, I am new to kaggle. Could you please suggest me how can I submit zip file while submitting? Thanks Nizam",0,None,1,Fri Jul 01 2016 11:47:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21988,None,None
/lisitsky,Две сорванные башни,"Коллеги! Я вот задаюсь вопросом, зачем нам даны в тренировочной выборке состояния башен в конце игры? С одной стороны - это взгляд в будущее - информация, которую мы точно не можем знать в течение первых 5 минут. С другой - это важная часть исхода битвы. Как я понимаю, разрушение башен - один из важных шагов на пути к победе? То, как насколько детально разжеваны битовые маски наводит на мысль, что надо обратить на них внимание. Я попробовал сопоставить состояние 2 главных древних башен (Ancient Towers) радиантов и их победу. Получается так: >>> features = pd.read_csv('features.csv', index_col='match_id') >>> features[features.tower_status_radiant & 0b11000000000 \ == 0b11000000000] \ .radiant_win.value_counts() 1 49215 0 17014 Name: radiant_win, dtype: int64 >>> features[features.tower_status_radiant & 0b11000000000 \ > 0b00000000000] \ .radiant_win.value_counts() 1 49835 0 18160 Name: radiant_win, dtype: int64 copy То есть радианты радостно побеждали, когда у них оставалась хотя бы 1 из 2 древних башен. Это выглядит как очень сильный признак - совпадение примерно в 73% случаев по одному только параметру. К сожалению, эту информацию напрямую использовать нельзя - ее нет в тестовой выборке. Остается только вариант с частичным обучением. К сожалению, оно очень слабо освещено в материалах. И не понятно, что с ним делать. Мне видится вариант попробовать кластеризовать по состоянию башен и увидеть при каких стартовых параметрах башни остаются жить. Затем попробовать добавить этот новый параметр (""одна из древних башен жива"") в классификатор. Что смущает? Новый шаг, на котором ошибки складываются - это может ухудшить результат даже на тесте. Не понятна логика как их кластеризовать. Кто пробовать копать в эту сторону? Поделитесь соображениями, можем вместе попробовать сделать.",0,None,6,Fri Jul 01 2016 13:28:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21989,/competitions/dota-2-win-probability-prediction,180th
/rmora83jr,Submission to kaggle,"David precisamos saber se o kaggle avalia os dados ainda que nao estejan ordemanos pelo Id, ou seja si as predições estão com uma sequencia diferente, mais o ID é o certo, exemplo: Id class1 class2 … 10 0.5 0.3 … 98 0.3 0.6 … 1 0.3 0.1 … . . .",0,None,1,Fri Jul 01 2016 16:55:42 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21991,/competitions/eee901-2016-01-tp-final,13th
/benhamner,Looking at Indicators,If you save these as PNG's they'll be automatically rendered on Kaggle.,0,None,1,Fri Jul 01 2016 17:52:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21992,None,None
/hengck23,heat map of CNN output,"I am using the method CAM-VGG16 [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/125696/4524/Clipboard04.jpg + finetune on the driver train images. Here, I generate the heatmap of the CNN response on the evaluation images. I also give the top 5 scores. This gives you an idea why your network is not performing well. Hope it helps! See attachment image. [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/125696/4524/Clipboard04.jpg [Link]:https://kaggle2.blob.core.windows.net/forum-message-attachments/125696/4524/Clipboard04.jpg of [Link]:http://cnnlocalization.csail.mit.edu/ [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125696/4524/Clipboard04.jpg",29,gold,40,Fri Jul 01 2016 18:16:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21994,/competitions/state-farm-distracted-driver-detection,20th
/dmitrdv,model_hist,"Hello! All models that published in this forums are more or less similar. They are multiclass models works in specific regions and operates such feature as day of week, hour, coordinates and so on. My model - is binary. Its answer are 1 (yes) or 0 (no). Main idea: generate histograms for each places (x, y, hour, day of week, month). Each bean is probability. generate train samples. For each events calculate probabilities using histograms of each places output of each sample from train samples is 0 or 1 I want to use this approach: to determine 1000x1000 m region to determine 250x250 m region to determine place_id This script is demonstates my model for places which median centers is situated in region №0 (first 250x250 m). My questions for competitors: Score of my model is 0.99. It is possible only when some of input feature is the same as output. Where is the mistake?",0,None,15,Fri Jul 01 2016 19:05:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21995,None,None
/curuos,XGB newbie stuck...,"I am new to using XGBoost and trying to use a regression objective (then want to do poisson if I can ever get it working). I've attempted to use the following code and at the point of PREDICT I get the error: Error in xgb.DMatrix(newdata) : REAL() can only be applied to a 'numeric', not a 'integer' I've tried using lapply to the matrix, I've tried setting a variable to numeric, the training seems to move through, it's the prediction step that bombs. train$id <- NULL; test$id <- NULL; cat(""Treating features…\n""); impute train and test here one hot encoding sparse_matrix <- sparse.model.matrix(Demanda_uni_equil ~ Agencia_ID+Canal_ID +Ruta_SAK +Producto_ID +Cliente_ID -1, data = train) sparse_matrix <- sparse.model.matrix( ~ Agencia_ID+Canal_ID +Ruta_SAK +Producto_ID +Cliente_ID -1, data = test) train$Cliente_ID<-as.numeric(train$Cliente_ID) train.y = train$Demanda_uni_equil; cat(""Dropping features…\n""); train$Demanda_uni_equil <- NULL; cat(""Creating data.matrix…\n""); preds <- rep(0,nrow(test)); trainM<-data.matrix(train, rownames.force = NA); cat(""Creating DMatrix for xgboost…\n""); dtrain <- xgb.DMatrix(data=trainM, label=train.y, missing = NaN); watchlist <- list(trainM=dtrain); set.seed(1969); param <- list( objective = ""reg:linear"", booster = ""gblinear"", #eval_metric =""mae"", eta = 0.035, max_depth = 6, subsample = 1.00, colsample_bytree = 0.40 ) clf <- xgb.cv( params = param, data = dtrain, nrounds = 200, verbose = 1, watchlist = watchlist, maximize = FALSE, nfold = 3, early.stop.round = 10, print.every.n = 1 ); bestRound <- which.min( as.matrix(clf)[,3] ); cat(""Best round:"", bestRound,""\n""); cat(""Best result:"",min(as.matrix(clf)[,3]),""\n""); clf <- xgb.train( params = param, data = dtrain, nrounds = bestRound, verbose = 1, watchlist = watchlist, maximize = FALSE ) testM <-data.matrix(test, rownames.force = NA); preds <- predict(clf, testM);",0,None,impute train and test here,Fri Jul 01 2016 19:08:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21996,/competitions/grupo-bimbo-inventory-demand,193rd
/gauravd2196,12 % lower accuracy when submitted to kaggle,I am new in Kaggle. My model was 89.85% accurate but when I submitted it to kaggle it shows 77.512 %. Anyone know why my result is 12% lower in kaggle??,0,None,5,Fri Jul 01 2016 20:10:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/21997,/competitions/titanic,None
/terrychenism,End-to-end workflow using MXnet (inception BN + VGG ensemble),"Acknowledgement: Thanks to Tianqi, Bing, Terry and Hongliang for the code work. MXnet repo [Link]:https://github.com/dmlc/mxnet please star and fork this great repo. Special thanks to ysfalo for his fine tune blog [Link]:https://ysfalo.github.io/2016/04/01/mxnet%E4%B9%8Bfine-tune/ **1. Github link [Link]:https://github.com/phunterlau/kaggle_statefarm** 2. How to use a. Install mxnet by following the official instruction for compiling and installing python packages. Please install necessary CUDA packages before compiling. Please turn on the CUDA option, cuDNN option for fast training (cuDNN v5 is suggested), and the most important, OPENCV option for having ‘im2rec’ binary. b. Run Inception-BN model 1) Go to inception directory, download the pretrained Inception BN model from dmlc.ml by executing download.sh. The pretrained model will appear in model directory. 2) Generate .rec format train-val dataset using im2rec: put the training dataset into train directory, edit gen_rec_bin.sh and replace im2rec_path variable to the location of im2rec binary. Usually it is in the bin directory after compiling MXNet. Run gen_rec_bin.sh and generate 5 cross-validation datasets for 5 batches of training. 3) Train the model: run run.cv_inception_bn.sh to execute the model training on 5 cross-validation datasets. The code will save each epoch snapshot in model directory, and the mean.bin for each batch. Please save these snapshots and mean.bin for testing. Usually in the first couple of epochs, the training and validation accuracy can increase and reach almost 1.000 after some epochs. By default, this script asks for 30 epochs. Each epoch takes about 150 (Titan X) - 300+ (GTX 960) seconds depending on the video card, so usually 30 epochs for all 5 folds can take around 7 hours on a single decent card with less than 2GB memory. If you have multiple video cards, please use --gpus options to use multiple cards, and increase batch size if you want. 4) Inference: This is time consuming part because there are about 80k test images. In the inception directory, run.test.sh can load the model snapshots for each CV batch, run a center crop of test image, and produce the prediction in the directory, like submission_test_batch_5_epoch_20.csv. These output can be merged with other models, or be averaged for a single model submission. The single model inception-BN with the current setup can give 0.59 in the public LB. c. Run VGG model. 1) Go to VGG directory, download the pretrained VGG models by executing download.sh 2) Generate .rec format train-val dataset like you have done for inception BN model. Please note that, VGG and Inception BN use different input size. 3) Train the model. Run run.cv.sh for run a 5 fold 15 epochs VGG model. You might notice --finetune-lr-scale 5 parameter in the shell script, that is because we have experimented 5x learning rate can quickly produce some good results. Training time for each epoch is about 450 (Titan X) -1000 (GTX 960) seconds, and the total training time for a 5-fold run 15 epoch each can be around 10 hours. 4) Inference: it is similar as in Inception BN model. With the current setup, the single VGG model can give about 0.56 scores in the public LB. Ensemble different model output: please go to merge directory, make two directories vgg and inception, put the two set of output to the corresponding directories, run merge.py and the output is ready to be submitted. The equal weight ensemble of an inception BN model with VGG can reproduce approximately 0.51 LB. 3. How pretrain model works: In MXnet, we can load a model and keep training with new data. In this problem, we load models from large dataset and continue to train with state farm dataset, that requires that the new data has little impact to the first two layers of the convolutional network, so the network can keep the original weights for the first two CNN layers, and learn from the new dataset for the high level features. In inception model and vgg model’s symbol python file, one can find these convolutional layers having attr={'lr_mult': '0.00'} in the layer description. In VGG model, using average pooling instead of two fully connected layer before classifier, because the input size as 320320 instead of 224224 for the original VGG model. 4. What parameters can be experimented for improving the score a. Data augment: train.py has multiple augment options, and one can experiment with mx.io.ImageRecordIter, for example, random rotation, random illumination, and other options. These options can improve the LB scores by generalizing the model. Please refer to MXnet document for how to use them. b. CV: this competition has very small dataset which gives large variance for models. Having multiple runs on multiple different split on train-val dataset can significantly reduce the variance. We provide 5-fold CV, and we have experiment 10-fold CV and other CV tries. Ensembling multiple CV choices can also help smoothing down the variance. Some one has asked if spliting by driver info can help, our experiment shows it is an dangerous choice and it may overfit to some unnecessary features. c. Learning rate change: usually pretrained model needs a large learning rate from new data for quickly converging, so in the train_model.py we have a fine tune learning rate scale parameter --finetune-lr-scale for tuning up. There are other parameters like --lr-factor-epoch for fine tune the parameters for different epochs. d. Crop in test set: in the vgg directory, one can also find run.test_10crop.sh for running a random crop for 10 times and average on each test image. It can improve LB score from about 0.05 to 0.1, but it takes much longer time. One can modify and get some other crop methods, e.g. 3 crop etc.",15,gold,7,Sun Jul 03 2016 00:38:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22017,/competitions/state-farm-distracted-driver-detection,175th
/hengck23,ideas for moving from LB0.20 to LB0.10,"Time is running short. I have a few ideas to move from LB 0.20. I would be grateful if anyone can help to advise on which of the followings are most likely to work: [strategy.1] focus on tweaking the performance of my current solution (e.g ensemble of vgg16, vgg19, googlenet). Sweep hyperparamters like learning rate, batch size. Try relu, prelu, maxout, elu. Try max,ave,max+ave,fractional pool, etc Try heavy augmentation. e.g [Link]:https://arxiv.org/abs/1606.02228 ""Systematic evaluation of CNN advances on the ImageNet"", code: [Link]:https://github.com/ducha-aiki/caffenet-benchmark **the problem is that it takes too much time and i estimate best performance to be LB 0.18 [strategy.2] One problem is lack of data. Try to use traditional classifiers on deep features. E.g. boosting trees/ random forests on features of all layers of deep CNN network. One end-to-end solution is combine traditional + deep is ""deep neural forest"": [Link]:http://www.cv-foundation.org/openaccess/content_iccv_2015/html/Kontschieder_Deep_Neural_Decision_ICCV_2015_paper.html **I worked with boosting tree+ vgg16 ( [Link]:https://arxiv.org/pdf/1504.07339.pdf, [Link]:http://arxiv.org/pdf/1603.00124.pdf) and know it outperforms deep learning in 2-class caltech pedestrian detection which has limited training data. But i am not sure if it works for 10-class image classification here. [strategy.3] restructure the problem. e.g. use hierarchical classification. Group the confusing class (e.g. c0-norm and c9-talk) to one class first, then refine it.e.g. HD-CNN: [Link]:https://arxiv.org/abs/1410.0736 [strategy.4] Change to large margin loss. Since the evaluation criteria is logloss and not accuracy, this should help. Large margin softmax seems promising : [Link]:http://jmlr.org/proceedings/papers/v48/liud16.pdf [strategy.5] Believe that resNet should work, afterall it's is the imagenet winner 2015. Continue to change the resNet32, resNet50 architecture to find one that fits the current kaggle driver data. There are many modified resNet like wide resNet, pre-activation resNet, etc ** I already make several attempts with resNet but couldn't get it work as well as vgg16. [strategy.6] Find the best ""fine-gradient categorization"" paper and implement. Bilinear model seems promising: [Link]:http://arxiv.org/abs/1504.07889. These fine grain action recognition papers seems promising too: [Link]:https://sites.google.com/site/amirrosenfeld/ (Hand-Object Interaction and Precise Localization in Transitive Action Recognition) (Visual Concept Recognition and Localization via Iterative Introspection) ** my concern is that these may not work well if fundamental issue is lack of data [strategy.7] Build and train a network from scratch. Forget about pretrained model. This gives more room to design more different network architecture. ** personally, i like this solution the best. But I not sure if the kaggle train data is enough for training from scratch.",9,silver,16,Sun Jul 03 2016 03:51:10 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22018,/competitions/state-farm-distracted-driver-detection,20th
/benhamner,Hillary Clinton County Results Map,"Some results weren't aggregated to the county level (e.g. Kansas), so the corresponding results are plotted at the state level.",1,None,1,Sun Jul 03 2016 09:01:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22019,None,None
/danielzilli,What is your workflow to explore and model data?,"Hello, I'm falling in love with data science and I'm spending a lot of time studying it. It seems that a common data science workflow is: 1. Frame the problem 2. Collect the data 3. Clean the data 4. Work on the data 5. Report the results copy I'm struggling to connect the dots when comes to work on the data. I'm aware that step 4 is where the fun happens, but I don't know where to begin. What are the steps taken when you work on the data? Example: do I need to find the central tendency or the standard deviation? Is machine learning needed? Ps: I know these are broad questions, so please answer it within your own domain expertise.",0,None,1,Sun Jul 03 2016 09:29:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22020,None,None
/colinpriest,train vs. test data,"I just finished reading a blog at [Link]:http://fastml.com/adversarial-validation-part-two/ about what to do when your training data and test data are different. It turns out that if you don't consider this, then your model won't score as well. [Link]:https://s3-ap-southeast-1.amazonaws.com/colinpriest/trainvstest1.png [Link]:https://s3-ap-southeast-1.amazonaws.com/colinpriest/trainvstest2.png [Link]:https://s3-ap-southeast-1.amazonaws.com/colinpriest/trainvstest3.png [Link]:https://s3-ap-southeast-1.amazonaws.com/colinpriest/trainvstest4.png My R script shows what is different between the two datasets, and whether that could be important. [5]: [Link]:https://s3-ap-southeast-1.amazonaws.com/colinpriest/whatIsDifferent.R [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125837/4527/whatIsDifferent.R",4,bronze,4,Sun Jul 03 2016 11:03:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22021,/competitions/sas-analytics-challenge,57th
/alanzis,"""No space left on device"" running sklearn in docker python container","I've been struggling with this with over a week now :( I am running the Kaggle python docker container as per instructions, on a Ubuntu 16 machine. But I keep getting the error: Traceback (most recent call last): File ""/opt/conda/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py"", line 271, in save obj, filename = self._write_array(obj, filename) File ""/opt/conda/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py"", line 231, in _write_array self.np.save(filename, array) File ""/opt/conda/lib/python3.5/site-packages/numpy/lib/npyio.py"", line 494, in save fid.close() OSError: [Errno 28] No space left on device When trying to run a GridSearch on this dataset: [Link]:https://www.kaggle.com/c/rossmann-store-sales/data Everything worked nicely on the titanic dataset, so I am not sure what to make of it. Has anybody experienced something similar ? Any help would be greatly appreciated",1,None,3,Sun Jul 03 2016 13:30:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22023,None,None
/gcoter,Can I host my scripts on GitHub?,"Hi, I am new to Kaggle and I would like to clarify this point before trying some competitions. If I participate in a competition and write my own script, is it ""legal"" to host this code on a public repository on GitHub for example ? Does it depend on the competition ? I saw lot of people doing it on GitHub but I wonder if it depends on the competition. Thank you.",10,bronze,6,Sun Jul 03 2016 14:12:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22024,None,None
/jturkewitz,Optimal Number of Neighbors,"If I find the optimal number of neighbors with a holdout set of 20%, should I scale this by 1.25 when submitting to the leaderboard similar to how number of rounds scales when using xgboost? Or is this parameter independent of the size of the dataset?",0,None,5,Mon Jul 04 2016 04:23:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22026,/competitions/facebook-v-predicting-check-ins,20th
/denisvm,kaggle-uploader.py,"good deal, thanks",0,None,2,Mon Jul 04 2016 07:43:41 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22028,None,None
/kumarmankala,New Entrant  vs. First Submission,"I have been active on this competition for a while now and am planning to make my submission (first and possibly the final one ). But, the site says the competition is closed to new entrants. I am not new entrant but I did not make a submission yet. What is the difference? Did anyone else encountered a similar surprise?",1,None,7,Mon Jul 04 2016 07:48:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22029,/competitions/facebook-v-predicting-check-ins,None
/datacanary,Exploratory Analysis of New Programmers,"You've found some interesting angles here! I'd suggest you revise the ""Employment Status by Gender"" chart though. The solid blocks of jittered points aren't really meaningful. Maybe a heatmap would work?",0,None,4,Mon Jul 04 2016 10:05:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22031,None,None
/vishnus,Mean_Median,Thanks for the script. Can you help me understand the reason behind taking exp of the mean and multiplying / subtracting with a constant.,0,None,1,Mon Jul 04 2016 13:40:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22035,None,None
/cpmpml,PUEBLA REMISSION,"The client with id 653378 is named PUEBLA REMISSION. It occurs extremely often, which makes me think it is not one client and rather a category of clients, or a category of shipments. I don't speak Spanish, and googling it leads to some judiciary stuff. Can someone from Mexico explain what PUEBLA REMISSION means?",1,bronze,10,Mon Jul 04 2016 15:27:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22037,/competitions/grupo-bimbo-inventory-demand,18th
/jayjay75,Baseline of single model,"Hi Just to get an idea of the potential improvment, how High is it possible to go without stacking/ensembling, using external data and speaking russian which is my crurent situation. Thxs",0,None,4,Mon Jul 04 2016 18:45:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22039,/competitions/avito-duplicate-ads-detection,23rd
/del=9c07b6a789bfeca4,How does one create a post like this?,,0,None,2,Mon Jul 04 2016 20:53:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22040,/competitions/shelter-animal-outcomes,529th
/davidpinto,Orientações Finais,"Pessoal, Como comunicado anteriormente, o deadline do trabalho foi prorrogado para 05/07 (terça-feira) até meia-noite (ou 02:59 UTC, que é o horário do Kaggle). Eu submeti uma resposta de teste depois que a competição terminou, e ela apareceu em ""My Submissions"". Em anexo envio o print screen da submissão. Vamos combinar duas coisas então: Juntamente com a documentação final do trabalho, vocês vão submeter no moodle o arquivo .zip de sua melhor solução, que foi submetido ao Kaggle, acompanhado de um print screen do leaderboard no momento da submissão. Isso vale também para aqueles cuja melhor solução foi postada antes da competição expirar. Eu pedi ao Prof. André que aumentasse o limite da submissão de arquivos pelo moodle para 10MB. Se ainda for insuficiente para alguns de vocês, favor avisar a ele. Durante a apresentação, será solicitado que vocês abram a aba ""My Submissions"" para averiguar a melhor solução que vocês conseguiram. Infelizmente esse não é o melhor dos mundos. Mas abrir outra competição seria inviável. Além do trabalho para montar, os administradores do Kaggle demoram cerca de 2 dias para colocar a competição no ar. Peço, por gentileza, que avisem aos demais colegas. Abraço, David. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125947/4537/submission_post_deadline.png",0,None,3,Mon Jul 04 2016 23:44:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22041,/competitions/eee901-2016-01-tp-final,1st
/hengck23,help in converting pretrained models to different format,"Hi, I am using native c/c++ code warped around cudnn. I dump caffe model files into binary files to be read by my code (using fwrite(float *weights, size_t size, …). But for other format (like tensorflow, torch, etc) i cannot use their models. It would quite a hassle for me to setup these framework. If anyone can provide binary dump of the following models, it would be useful for me. In exchange, i can give you the binary dump of my models too. Alternatively, some scripts (e.g. python, matlab, c) and instruction to dump the models is also fine for me. binary dump of the weights is good enough for me as i am familiar with the network structure which i can setup in the c/c++ code later. looking for : inceptionv3 (tensorflow,torch,lasagne), resNet18/34/152/200 (torch), inception-BN(aka inception v2) (mnxet) i current have the binary dump of: googlenet-v1, resnet50/100,vgg16/19, googlenet-CAM,vgg16-CAM I will also post my c/c++ code for dumping caffe model here. [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/125956/4539/how_to_dum_caffe_model_weights.cpp",1,bronze,1,Tue Jul 05 2016 03:00:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22043,/competitions/state-farm-distracted-driver-detection,20th
/asimkievich,naive question?,"Hi, I am joining this competition rather late but I intend to submit. First trying to understand the big picture. End goal is to predict the pixel value for every pixel in each test image (the prediction is Boolean, 0 or 1). 0 or black means this pixel does not belong in the nerve region, whereas 1 (or 255?) or white means that this pixel belongs in the nerve region. Subsequent step is, you do run-length encoding on the white pixels in your prediction and submit. Can anyone tell me if my understanding is correct? Much obliged fellow Kagglers.",0,bronze,4,Tue Jul 05 2016 04:12:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22044,/competitions/ultrasound-nerve-segmentation,None
/ma350365879,Anyone predicted which place_id will diminish in the future?,"As title. Might be too late to ask. But since no one ask this question, I just want to ask if anyone did this, and whether it could improve LB score. If any similar work related to this, I remember someone claim a slight increase if randomly delete some of the most popular place_ids.",0,None,4,Tue Jul 05 2016 05:01:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22045,/competitions/facebook-v-predicting-check-ins,38th
/zeroblue,KNN accelerated V3,[Link]:https://www.kaggle.com/zeroblue/facebook-v-predicting-check-ins/knn-accelerated-v3/run/285864 of this script scores 0.58369 on the LB. The biggest improvement here is the replacement of the Numpy argsort function with a faster JIT compiled function for finding the top three places. This allows larger border augmentation for more accurate predictions.,0,None,1,Tue Jul 05 2016 07:07:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22046,None,None
/drarfc,KNN accelerated V3,LB 0.58370,0,None,10,Tue Jul 05 2016 10:58:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22047,None,None
/claires,Train.csv - File not loaded completely,"Hi I've downloaded all datasets but can't manage to open the train.csv. I've tried open it in Excel and R; the other datasets open fine. I get the message ""FIle not loaded completely"", ""Windows cannot complete the extraction. The destination file could not be created"". I've tried on three different machines. Does anyone else had the same issue? How did you fix it? Thanks",0,None,8,Tue Jul 05 2016 11:39:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22048,/competitions/grupo-bimbo-inventory-demand,None
/oysteijo,"What does it mean when a Cabin is ""F Gxx""?","Hi! I see that some passengers have Cabin of form ""F Gxx"". See PassengerId 76,129, 700 and 716 in train set. Probably someone in test as well. What does this mean? For PassengerId=76 the cabin is ""F G73"". Does that mean he is living at deck F or G? Thanks, -Øystein",4,bronze,5,Tue Jul 05 2016 14:30:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22049,/competitions/titanic,None
/oswaldoludwig,"Resized images (test data), data augmentation and LB score","I am trying to figure out the meaning of this text: ""To discourage hand labeling, we have supplemented the test dataset with some images that are resized. These processed images are ignored and don't count towards your score"". Why would rescaled images discourage hand labelling? What do they mean by ""your score""? Is it the current LB score (30% of the test data) or the final score? If the current LB score is computed based on resized images, data augmentation (e.g. using zoom on training data) could improve the LB score, but this gain would not account for the final score, since these processed images will be ignored. In this sense, data augmentation could even prejudice the final score.",0,None,2,Tue Jul 05 2016 15:21:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22050,/competitions/state-farm-distracted-driver-detection,405th
/kelexu,0.48881,The local CV is improved by 0.01 with previous version. Voila!~,2,None,11,Tue Jul 05 2016 15:42:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22051,None,None
/skyrus,Looking for a team,"Hi Kagglers, I am looking for a team. I missed the initial submission deadline by a day. I am getting a score of >0.93. Please let me know if you are interested. Kiran",0,None,1,Wed Jul 06 2016 01:42:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22054,/competitions/avito-duplicate-ads-detection,None
/farfallafly,Bernie Sanders County Results Map,That's a lot Ben! Really cool stuff! But it seems that Minnesota is missing from the map. Any explanations for that?,1,bronze,3,Wed Jul 06 2016 04:53:59 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22057,None,None
/pradeepram80,Memory issues while running VGG16,"Looking for some pointers on how much memory is required to run VGG16 using Keras based on a previous thread in this forum. [Link]:https://www.kaggle.com/c/state-farm-distracted-driver-detection/forums/t/20747/simple-lb-0-23800-solution-keras-vgg-16-pretrained/124670 I'm using AWS GPUs but I get an out of memory error even for a batch size of 8. I'm using a 8 GPU cluster with 60GB RAM but 4GB on each GPU nodes. Could this be the reason for the memory error? Alternately, if I were to try Resnet say using Caffe, would the above GPU configuration be able to run it?",0,None,3,Wed Jul 06 2016 05:01:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22058,/competitions/state-farm-distracted-driver-detection,None
/dougfir,Seeking Feedback & Validation: Text mining with Kmeans where more documents than terms,"The purpose of this post is to obtain feedback on some text mining analysis I have been doing. I am seeking feedback on my approach and interpretation. It's pretty wordy on purpose, since I wanted to avoid adding code and instead get more general feedback on my approach and understanding. Some meta/scenario: Context is online user submitted surveys. Typically the survey responses which are the ""documents"" in this analysis are very short 1 - 2 word answers, sometimes up to 1 or 2 sentences. This had led to what I suspect is a more unusual situation where I have more documents than variables. After preprocessing (Stemming, remove stopwords etc) I have a corpus with ~19k documents and ~9k variables/tokens. The purpose of the analysis is to find out commonalities and groups within the survey submitters. How many groups are there? (Clusters). How can I describe and define each group (e.g. Top tokens associated with each cluster). Description of what I did I created a document term matrix (dtm) with my corpus. I then did some pre-processing including stemming, removal of stopwords and corrected some spelling manually (spelling it seems is not taken seriously with online surveys!). I also grouped together some tokens e.g. ""thank you"", ""thanks"" > ""thank_you"". After preprocessing I did some data exploration. I created a table of the 20 most frequent terms. Then, for each of those twenty terms I did word associations in 20 new tables. After data exploration around term frequency I removed some sparsity from my dtm. Given the unique nature of very high volume of documents compared to terms my doc sparsity was very high (R reported it at 100%, so presumably it's something like 99.9%). So I removed sparse terms to 0.97 resulting in a new dtm ""dtms"" with 33 terms remaining. With the new less sparse dtms I created a chart of elbow method for kmeans and found that there was indeed a (albeit subtle) kink at 7 clusters. So, I ran kmeans with 7 clusters. I was unable to plot the clusters since I have more documents than variables and received an error message in r when using clusplot. But even then I don't know how useful it would be to plot ~19k dots on a chart. With these 7 clusters I created 7 new frequency tables of terms for each cluster. And that's it. My end result is 7 tables showing the top terms for each cluster and how often they appear in that cluster. With this I plan to describe the clusters and present to my colleagues. Do you agree with my approach? Is it a ""reasonable"" approach? Are there anythings that I should have considered but have not? Given the unique scenario of more documents than variables, should that have altered my approach? If I was to describe what I have done to my colleagues could I say that ""I used R to measure the distance (euclidean) between each document based on the terms within each document. I then clustered into 7 groups and for each group pulled in the terms and their frequency"" as a way to describe them. Is that a accurate description of what I have done? Some other follow ups I read several online articles on how to run text analysis on a corpus using r. In more than one of those articles kmeans() was run not on the dtm but on the distance matrix. Why would someone do that? Since more than one article did so presumably it's plausible. Here are 2 example articles that do this: [Link]:https://rstudio-pubs-static.s3.amazonaws.com/31867_8236987cf0a8444e962ccd2aec46d9c3.html [Link]:https://eight2late.wordpress.com/2015/07/22/a-gentle-introduction-to-cluster-analysis-using-r/ My code: kfit <- kmeans(dtms, 7) // dtms is the reduced sparsity dtm Their code: d <- dist(t(dtms), method=""euclidian"") kfit <- kmeans(d, 7) Should I have done what they did and use the distance matrix? Why? In [Link]:http://michael.hahsler.net/SMU/CSE7337/install/tm.R article the author uses dtm_tfxidf <- weightTfIdf(dtm) I read up on inverse document frequency. It makes sense for e.g. search results pages. But in the context of the analysis that I have described perhaps it would be questionable to incorporate idf since I'm not really seeking differences between documents so much as commonalities between clusters. It is expected that there will be a degree of overlap. Does that make sense in this context?",0,None,7,Wed Jul 06 2016 05:15:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22059,None,None
/uscacms,Is scoring a representative sample?,"With a full blank submission, Kaggle scores that submission at 51%. But Kaggle doesn't score on the entire test set. So, does anyone know if that subset of the test set is a representative sample of the test set?",0,None,2,Wed Jul 06 2016 05:28:48 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22060,/competitions/ultrasound-nerve-segmentation,None
/mrisdal,Temperature Over Years in Indian Cities,Reminds me somewhat of these figures: [Link]:http://www.climate-lab-book.ac.uk/spirals/ (Click to load the gifs.),0,None,2,Wed Jul 06 2016 05:58:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22061,None,None
/kuanchen,deformation techniques for image data augmentation,"Hi everyone I have followed this competition for a while and decided to work on [Link]:https://www.kaggle.com/Marko Jocic 's wonderful starter code. I am reading the original [Link]:http://arxiv.org/pdf/1505.04597v1.pdf and confused by its data augmentation method: ""We generate smooth deformations using random displacement vectors on a coarse 3 by 3 grid. The displacements are sampled from a Gaussian distribution with 10 pixels standard deviation. Per-pixel displacements are then computed using bicubic interpola- ion"" Could someone explain this technique? or do you have any idea about image augmentation except naive method(random flip, shift, rotation, scaling) Thank you",0,None,3,Wed Jul 06 2016 06:15:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22062,/competitions/ultrasound-nerve-segmentation,203rd
/insaff,How to apply one-hot encoding to big files?,"I have 3 Gb train file and 350 Mb test file, 6 Gb RAM. That files seem to be not too big to hold them in the memory, but I can't even append them (memory error occurs). My current aproach looks this way: # reading files dtypes = {'Semana' : 'int32', 'Agencia_ID' :'int32', 'Canal_ID' : 'int32', 'Ruta_SAK' : 'int32', 'Cliente-ID' : 'int32', 'Producto_ID':'int32', 'Venta_hoy':'float32', 'Venta_uni_hoy': 'int32', 'Dev_uni_proxima':'int32', 'Dev_proxima':'float32', 'Demanda_uni_equil':'int32'} train = pd.read_csv('train.csv', dtype = dtypes, usecols=[""Semana"", ""Agencia_ID"", ""Canal_ID"", 'Ruta_SAK', 'Cliente_ID', 'Producto_ID','Demanda_uni_equil']) train = train.loc[train['Demanda_uni_equil'] < 53,:] test = pd.read_csv('test.csv', dtype = dtypes) #, nrows=numsToRead) ids = test['id'] test.drop(['id'], axis =1, inplace = True) shapeTrain = train.shape[0] shapeTest = test.shape[0] train = train.append(test) # raises memory error #applying one-hot encoding train = pd.concat([train, pd.get_dummies(train['Semana'],sparse=True)], axis=1, join_axes=[train.index]) train.drop([11,'Semana'],axis=1, inplace = True) train = pd.concat([train, pd.get_dummies(train['Producto_ID'],sparse=True)], axis=1, join_axes=[train.index]) train.drop([123,'Producto_ID'],axis=1, inplace = True) train = pd.concat([train, pd.get_dummies(train['Canal_ID'],sparse=True)], axis=1, join_axes=[train.index]) train.drop([11,'Canal_ID'],axis=1, inplace = True) # separating back to train and test test = train[shapeTrain:shapeTrain+shapeTest] train = train[0:shapeTrain] test['id'] = ids train.to_csv('train_1.csv', index=False) test.to_csv('test_1.csv', index=False) copy I see 2 ways to solve: 1) Somehow iterate through the files: df_train = pd.read_csv('train.csv', chunksize=1500) for chunk in df_train: #apply one-hot encoding 2) To decrease amount of columns by applying one-hot encoding only to train, and then to test, but for new categorical value setting all columns to 0. How can I solve the problem?",1,None,1,Wed Jul 06 2016 10:29:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22063,/competitions/grupo-bimbo-inventory-demand,370th
/stephenbydawell,Locally connected layers support,"Locally connected layers seem to be a powerful tool when it comes to facial recognition. I have been using tensorflow, which does not have higher level support for the layer. I could code it myself. However, before I start, has anyone had success using another platform for locally connected layers? Could you provide me with an example? I would appreciate your insight.",1,None,1,Wed Jul 06 2016 10:53:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22064,/competitions/facial-keypoints-detection,None
/frederik,Looking for a job at Facebook?,"I am wondering what your motivation is to join this competition. Looking for a job, a good data science challenge and/or some Kaggle points? My motivation is primarily the unique challenge. I have especially enjoyed the wide solution space with a large number of parameters to tweak, rather than a narrow assembly war.",4,bronze,26,Wed Jul 06 2016 15:02:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22066,/competitions/facebook-v-predicting-check-ins,28th
/idozeh,My analisis,"Hi guys, Check out my analisis: [Link]:https://github.com/IdoZehori/Shelter-Animals/blob/master/Animals.ipynb ido",1,None,3,Wed Jul 06 2016 17:38:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22068,/competitions/shelter-animal-outcomes,None
/toshiaki,Survey Reveals Diversity in the “Learn to Code” Movement,"I did a quick analysis in MATLAB and posted [Link]:http://blogs.mathworks.com/loren/2016/06/27/survey-reveals-diversity-in-the-learn-to-code-movement/ to Loren on the Art of MATLAB blog. You can download the MATLAB code by visiting the blog post. The following analysis shows significant diversity in gender and ethnic mix among self-taught coders and the possible impact of MOOCs in opening up access for under-served populations by traditional STEM education paths. Higher Female Representation Than Expected [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_01.png The histogram shows that a lot of people who responded to this survey fall into the so-called ""millenials"" category. It is interesting to see the number of women who responded to this survey, considering the often cited gender gap in STEM fields. It is not clear if this reflects the true population or are women are over-represented via self-selection? Or somehow self-teaching programming more appealing to women than traditional instruction? Mostly Studying in Countries of Citizenship [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_02.png Since the survey was done online, anyone could participate. Let's check the geographic breakdown. As you would expect, the largest portion of the responses came from the US. You can also see that female responses were 40.59% of male responses in the US, confirming high female representation in the responses. China is notably missing from the top 10 countries. Perhaps the ""learn to code"" buzz has not caught on there? [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_03.png You can also visualize migration patterns by mapping countries of citizenship to countries of residence. The number of edges are just 467 - meaning only 467 out of all 14,625 responses in part2 are from migrants, and most people live and study in their countries of citizenship. If you take the ratio of immigration over emigration, US, United Kingdom, Canada, Australia Germany and Russia enjoy net gains from any brain drain. Ethnically Diverse English Speakers in US [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_04.png Let's focus on the US. As noted earlier, most new self-taught coders who responded to this survey were US citizens, but its ethnic makeup is very diverse. More than half of the women are ethnic minorities, and so are 1/3 of men. They are also predominantly English speakers, given the low ratio of immigrants. However, we should note that the survey itself was in English and promoted via social media in English. Many Are Highly Educated and Already Employed in the US [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_05.png We already know that a lot of people who take MOOCs had already earned college degrees and have jobs. This survey also shows the same result. Many Already Work In Software Development and IT in US [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_06.png It turns out that many respondents already work in software development and IT fields and come from very diverse academic backgrounds, including both STEM as well as non-STEM subjects. Since the proportion of women tends to be higher in non-STEM majors, this may explain why we see higher than expected female representation in this survey. It appears that female respondents who studied non-STEM majors in undergraduate are now pursuing a career in software development. Curiously, we also see many computer science majors and they tend to be men. Why are people who already have a computer science background pursuing self-teaching programming? Shouldn't they have learned it in school? Here is a quick sanity check. Yes, those computer science majors do seem to work in software development and IT, as indicated by the line width of the edge between them. [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_07.png Academic Background in Software Development and IT [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_08.png Taking a deep dive in Software Development and IT, we see that not everyone that is a computer science major and has a diverse academic background is represented in the industry, and they are probably in different career tracks based on their background. Women represent a higher proportion in English, Psychology and Other. Wide Income Gap in Software Development and IT [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_09.png Let's compare the income range by Job Field using a box plot. The bottom and top of the box represents the first and third quantiles and the middle red line represents the median, and whiskers represent +/- 2.7 standard deviations. Red ""+""s show the outliers. Compared to other job fields, income range in software development and IT has a wide spread (as indicated by the elongnated box shape and longer whisker), meaning there is good upside potential to do better. What Affects Income in Software Development and IT? [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_10.png The first factor that may affect the income in software development and IT is academic background. The box plot shows that Computer Science and Electric Engineering give you the most advantage in getting a higher salary. This is probably the motivation behind the self-learning, how-to-code trend - people want to switch to a more lucrative career path from their current path or advance more quickly within the same industry. Age Factor [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_11.png Another important factor to consider is age. If you plot the age against income in Software Development and IT, you see a wide income gap among younger Computer Science majors. Some 25 year-olds can be earning 0 vs.110,000 a year. Income also seems to plateau as you age. You can apply a two-term exponential curve to the data so you can see it easily. Perhaps this provides motivation for CS majors to improve their skills and experience as quickly as possible? Big Companies Not Preferred [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_12.png If you look at the future employment those people are looking for, they prefer big companies the least. Since people are not earning a formal degree, they are probably expecting more flexibility in other employment options. The most popular option is mid-sized companies, but many people are interested in working for a startup, or starting their own businesses, or freelancing. People in software development and IT tend to prefer working for startup or mid-sized companies more. Men tend to prefer doing their own businesses or work for a startup, while women tend to prefer the freelance path. Dream Jobs [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_13.png When it comes to actual jobs people are interested in, they are mostly web development positions. People already in software development and IT tend to prefer roles with higher technical skills - Back-End Web Development, DevOps, or SysAdmin rather than Front-End Web Development, or other non-development roles such as Product Manager or QA Engineer. In terms of gender, women tend to prefer Front-End Web Development and User Experience Design. Student Loan Debt [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_14.png The survey also answers how much student loan debt respondents carry and how much they spend learning to code. Over 41% of the respondents have student loan debt and the median amount owed is 25,000. Inaddition, people do spend during the course of learning to code, and the median total spend is 300. Given that a lot of people have debt, they cannot afford to spend more and add to their deficit, and that also reflects on the more conservative choices in future employment. Women Prefer More Welcoming Venues [Link]:http://blogs.mathworks.com/images/loren/2016/newcoderFinal_15.png This survey seems to show more female participation in the ""learn to code"" movement compared to a more tranditional computer science education. When you look at the type of events women prefer, they show strong preference for gender-specific events like ""Girl Develop It"" and ""Women Who Code"". When you look at the online resources, you don't see much difference by gender. It appears that physical presence of males makes women feel unwelcome. To give an example, I encouraged my daughter to join a robotics competition team in her high school. She talked to her friends because she didn't want to be only girl in the team and a bunch of girls joined the team. When she came home from the first team session, I asked her what she worked on. She said ""we worked on team web page"". It turned out boys worked on the building robots and girls were left out, so they worked on building the team web page. When the kits were delivered to the team, boys just huddled togather among themselves, and didn't bother to include girls. Girls were not consciously excluded, but they felt unwelcome anyway. I suspect similar dynamics may be at play which coding events women go to. I also wonder the female preference of Front-End Web Development and User Experience Design is also driven by the same issue? Summary Perhaps the most intriguing result of this analysis is that the ""learn to code"" movement is effective in closing the gender gap in software development and IT and embraced by the minority community under-served by the traditional educational paths. It also underscores the precarious positions those learners face due to the high student loan debt they carry. Ultimately we don't know how many of them actually achieve employment in their dream job from this survey, and hopefully there is a follow-up to find out whether the ""learn to code"" movement really delivers on its promise.",1,bronze,Higher Female Representation Than Expected,Wed Jul 06 2016 17:59:36 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22069,None,None
/vzocca,Exception using VGG16,"I am trying to get started using the VGG16 discussed in other threads, but I am getting this exception: Exception: Layer weight shape (64, 1, 3, 3) not compatible with provided weight shape (64, 3, 3, 3) Where should I look to fix this issue?",0,None,3,Wed Jul 06 2016 18:26:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22070,/competitions/state-farm-distracted-driver-detection,781st
/pillgz,What improves prediction results? Feature engineering or meta-modeling?,"I have hit a bottle neck with both logistic regression and boosting each alone achieves around 70% AUC, without sophisticated feature engineering and ensembling of models (and not using the text descriptions yet). I am wondering how prediction results can be improved further. I have read that both clever feature engineering and meta-modeling (model of models) can enhance the results. It is my first time doing a Kaggle project, so I would like to hear opinions from both more experienced Kagglers and those who has insight into this particular problem which techniques are helpful. And perhaps more importantly, how are those techniques used in this case.",2,bronze,10,Wed Jul 06 2016 18:35:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22071,/competitions/sas-analytics-challenge,26th
/bguberfain,Elastic Transform for Data Augmentation,Please note that this image generation is a bit slow… maybe you should apply to a smaller image or pre-generate the training set.,1,bronze,20,Wed Jul 06 2016 20:22:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22072,None,None
/singhn9,Why does a product ID have multiple prices?,"Why does a product ID have multiple prices? Thanks in advance for answering my question. Product ID 1212 is ""Roles Canela 2p 120g BIM 1212"" and has prices ranging from 2.52 pesos to 9.6 pesos. Price is a calculated variable for me and is calculated as under: Price= Sales/ (Units sold) Code and output is below: sort(unique(train$Price[train$ProductID==1212])) copy [1] 2.520000 2.520000 2.567206 2.587692 2.597778 2.621538 2.622029 2.622466 2.622493 2.624407 [11] 2.624923 2.625561 2.626116 2.628533 2.632632 2.663402 2.687843 2.688947 2.694904 2.708824 [21] 2.719070 2.725333 2.734000 2.740000 2.740000 2.745263 2.787500 2.809792 2.832913 2.840000 [31] 2.843019 2.846441 2.850625 2.852381 2.856629 2.857895 2.862720 2.873790 2.877447 2.883030 [41] 2.883800 2.887475 2.968000 3.008861 3.035000 3.039683 3.045172 3.046494 3.055000 3.066383 [51] 3.077143 3.093197 3.109700 3.115455 3.133333 3.139385 3.146897 3.160544 3.162469 3.166111 [61] 3.173640 3.175476 3.178286 3.185045 3.188750 3.193571 3.194658 3.197658 3.198889 3.207327 [71] 3.210000 3.216744 3.216909 3.219615 3.228276 3.233333 3.247758 3.263780 3.271648 3.282162 [81] 3.330000 3.335221 3.357442 3.362778 3.366875 3.369333 3.376000 3.461111 3.477500 3.485091 [91] 3.502462 3.582857 3.590000 3.590000 3.625000 3.644545 3.712055 3.714426 3.715714 3.734085 [101] 3.746612 3.747134 3.755000 3.770566 3.782923 3.920000 3.920000 3.920000 5.600000 5.600000 [111] 5.878000 6.110000 6.110000 6.110000 6.156000 6.670000 6.670000 7.200000 7.680000 8.130000 [121] 8.130000 8.130000 8.200000 8.200000 8.230000 8.230000 8.230000 8.380000 8.380000 8.380000 [131] 8.380000 8.380000 8.450000 8.450000 8.450000 8.450000 8.450000 8.535000 8.800000 8.800000 [141] 8.800000 8.940000 8.940000 8.980000 8.980000 9.050000 9.070000 9.070000 9.070000 9.250000 [151] 9.600000 9.600000",0,None,5,Wed Jul 06 2016 22:35:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22074,/competitions/grupo-bimbo-inventory-demand,1499th
/lishubin,does neural network work in this competition?,"i have been testing neural network for this problem. however, i think in each grid, the label category is too large relative to the sample size. so i can only achieve around 0.3 range. anyone has any success on neural network? thank you!",0,None,7,Thu Jul 07 2016 00:48:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22075,/competitions/facebook-v-predicting-check-ins,31st
/apapiu,Log Means,0.48560 on the LB in under 2 minutes. I'll take it :),0,None,1,Thu Jul 07 2016 02:10:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22076,None,None
/kuanchen,Congratulation!,"Congratulation to the winner [Link]:https://www.kaggle.com/tvdwiele! It's happy to learn with all guys in this competition, Can't wait to hear the idea of [Link]:https://www.kaggle.com/tvdwiele! !",0,None,7,Thu Jul 07 2016 02:14:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22077,/competitions/facebook-v-predicting-check-ins,71st
/jturkewitz,Solution Sharing,"Congrats to everyone for a great competition, in particular to the guys at the top. Congrats especially to tvdwiele and Markus who were significantly ahead of the field yet neck-and-neck for a long time. [Link]:https://www.kaggle.com/tvdwiele also thanks for the shiny app, that was probably the most useful data visualizations I've seen on Kaggle ( [Link]:https://www.kaggle.com/c/facebook-v-predicting-check-ins/forums/t/21365/interactive-exploratory-analysis-using-a-shiny-app). My solution (place 20) was the combination of an xgb (0.592 on public lb) and knn (0.585), which somehow combined to get 0.603. I combined them by averaging the top 6 probabilities predicted by each model. Ensembling is surprisingly powerful. I used a 40 x 50 grid for xgb and a 20 x 25 grid for knn, with the extension technique from the scripts. My xgb model took 4 days to run on my dual-core macbook pro. I used the basic time features (hour, weekday, year etc), did not have any real success with advanced feature engineering this competition. I also used the xgb weight option, so more recent times were weighted more heavily while training. My knn model I tried to get around the hour cyclic problem by shifting the hour feature and averaging the predictions from different models. Otherwise it was pretty similar to the early knn scripts. One interesting thing I did was to use the knn model to predict how common a place id was in the test set. This is peaking into the future, so it isn't all that useful in the real world but it provided a boost of about 0.004 on the public lb. I basically used knn to get the average predicted probability, then applied the ratio of the predicted probability in test over the probability in train to weight the probabilities of the next level models. My code needs to be cleaned up, but if you don't mind looking at messy code it is here: [Link]:https://github.com/jturkewitz/SideProjects/tree/master/Kaggle/Facebook_Checkin",17,gold,43,Thu Jul 07 2016 03:07:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22078,/competitions/facebook-v-predicting-check-ins,20th
/cjcoursera,My idea for this competition,"First, thanks to Facebook for organising this competition. It is very different and therefore very interesting! Unfortunately, I have not had time to submit a solution but I have enjoyed occasionally reading along to the forums as the competition has progressed. I wanted to share an idea i had for tackling this problem to see if anyone did something similar and whether it worked at all! The biggest difficulty in this competition (in my opinion) was the very large number of classes. This made a lot of great algorithms non-trivial to apply (I suspect this was very intentional of FB to challenge people to work around that). My idea was to change this into a binary classification problem! If we take some kind of join of the training data with itself (probably not the complete join as this would be far too large) and add a column indicating whether the two entries are the same location or not. Now we can run any algorithm for binary classification. Did anyone try such an approach? Any success?",0,None,1,Thu Jul 07 2016 03:24:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22079,/competitions/facebook-v-predicting-check-ins,None
/ma350365879,About ensembling and my method,"So my method is an ensemble of three models: KNN(0.586x), RF(0.583x), XGB(0.588x). Final result is 0.600x in pulic lb and 0.5999x in private lb. After getting the top 5 checkin place_id for these three models, like this: [Link]:https://s31.postimg.org/8v9pzp43f/2_pic_hd.jpg Then use the following method: [Link]:https://s31.postimg.org/czbrzbjhn/5_pic.jpg The above code is basically to vote for the best 3 place_id. The 1st rank weights for 5, and the 5th rank weights only for 1. I've post similar code before at [Link]:https://www.kaggle.com/c/facebook-v-predicting-check-ins/forums/t/21265/creating-ensemble-of-2-submissions but this is a much faster method. The final ensembling will be like this: [Link]:https://s31.postimg.org/g0irgswej/6_pic_hd.jpg Some other tricks I find about ensembling: using np.array (.values) could be much faster(4 times?), the Cython also makes it slightly faster (and simple). I have created several xgb, rf and knn method. The one I used for each model is actually an ensembling of several same model. For example, xgb_1.map3 == 0.580 xgb_2.map3 == 0.543 xgb_3.map3 == 0.542 xgb_4.map3 == 0.541 xgb_5.map3 == 0.540 The final xgb would be an ensemble of all the five models, and weight xgb_1 as 4 and the rest as 1, 0.99, 0.98, 0.97. If all weighted the same, the ensemble result will be worse. I didn't do much tricks to deal with the parameter tuning. If any would be tuning the xgb learning_rate, and n_estimators (grid search and testing on sub set of examples). I guess there are much much better solutions out there. I assume my method is easy enough to reproduce for those who didn't try ensemble, but have more than 3 models, so I paste it here. In fact, the final knn method is an ensembling of several different public available results. I am also more than happy for kagglers to comment on my solution and see how should I improve it.",6,silver,10,Thu Jul 07 2016 04:09:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22080,/competitions/facebook-v-predicting-check-ins,38th
/tvdwiele,1st Place - Winning Solution,"First of all I would like to thank all participants for the amazing interaction. It was my first serious competition attempt and I was extremely impressed with the expert code sharing and forum discussions. Special thanks go to [Link]:https://www.kaggle.com/AlexandruPapiu for his interactive random forest analysis and [Link]:https://www.kaggle.com/msjgriffiths for his exploratory data analysis script. In the end, [Link]:https://www.kaggle.com/Markus was indeed very close and I look forward to find out if he followed a similar approach. Also, thank you very much to everyone at Facebook who contributed to this challenging analysis task and to Kaggle for hosting the competition. EDIT: Link to [Link]:https://github.com/ttvand/Facebook-Vof the cleaned code. The [Link]:https://ttvand.github.io/Winning-approach-of-the-Facebook-V-Kaggle-competition/ is now also available, please feel free to ask further questions! I started my effort by inspecting many aspects of the data interactively. The published shiny [Link]:https://www.kaggle.com/c/facebook-v-predicting-check-ins/forums/t/21365/interactive-exploratory-analysis-using-a-shiny-app was the result of this stage. My major finding was the absence of a clear spatial (x-y) pattern in all researched relations. I also noted a high level of noise and variability in the patterns. Consequently I decided to use a single overall model rather than many local grid based models. This approach allowed me to turn the problem into a feature engineering competition and consider many features (430 in the final model) and use a two stage model. Two stages of candidate selection are performed in order to narrow down the number of considered classes in the first level models (all XGBoost). I intended to use a blend of models in the second tier but ended up using only XGBoost models. I will discuss the problem definition, candidate selection, the major features and the two model layers below. Further details on the steps and data handling will be provided in a blog post, hopefully this weekend. The code is now available on [Link]:https://github.com/ttvand/Facebook-V (all in R). This post is intended to share the main ideas and will either skip or simplify less important aspects of the analysis. Problem definition At both model stages I consider the problem as a binary classification problem for all selected candidates: model the probability that an observation belongs to each of the candidates. The local train and validation data was chosen as the last time part of the given train data such that the local train/validation to the local non train/validation data has a similar proportional size as the given test data to the given train data. The first part of the given train data was used to extract place summary features and the second part of the given train data, the local train/validation data, was used to build and validate the models. The entire given train data is used to calculate the place summary features which are used to generate test predictions. Candidate selection The first candidate selection step reduces the number of potential classes from >100K to 100 by considering nearest neighbors of the observations. I considered the neighbor counts of the 2500 nearest neighbors where y variations are 2.5 times more important than x variations. Ties in the neighbor counts are resolved by the mean time difference since the observations (keep most recent place_ids). The second candidate selection step reduces the number of potential classes from 100 to 20 by using the predictions of an average blend of first level models. These first level model predictions are not used as features in the second level models. Major features The major share of my 430 features is based on nearest neighbors features. I counted the neighbors for different Ks (1, 5, 10, 20, 50, 100, 250, 500, 1000, 2500) and different x-y ratio constants (1, 2.5, 4, 5.5, 7, 12, 30) and also included the mean time difference for all 70 combinations. 10 more features were added by considering the distance between the Kth features and the observations for a ratio constant of 2.5 (measures the spatial density). 40 more features were added around the most significant features (K around 100 and a distance constant around 2.5) for the neighbor counts and 40 more for the distance to these neighbors. I further added some additional features that consider the (smoothed) grid densities. The second largest share of the features set belongs to time features. Here I converted all time period counts to period density counts in order to handle the two drops in the time frequency. Periods include 27 two-week periods prior to the end of the train data and 27 1-week periods prior to the end of the train data. I also included features that look at the two-week densities looking back between 75 and 1 weeks from the observations. Additional features were added for the clear yearly pattern of some places. Hour, day and week features were calculated using the historical densities with and without cyclical smoothing and several relaxation constants (relaxed based on the historical count) Other time features include extrapolated weekly densities using various time series models. Accuracy was very interesting and I noticed that the location of the observations is sometimes related to the accuracy group. So… I added more features that were likely to capture this pattern. Accuracy was split in three groups: 1-44; 45-84 and 85-Inf. See the second plot for the median deviation of observations from their median as a function of time and accuracy. I also calculated a bunch of robust Z scores for anything I could think of (x-median(x))/mad(x) All features are rescaled if needed in order to result in similar interpretations for the train and test features. First level models 100 base learners were fitted on different random parts of the training period. Deep trees gave me the best results here (depth 11) and the eta constant was set to (11 or 12)/500 for 500 rounds. Colsampling also helped (0.6) and subsampling the observations (0.5) did not hurt but of course resulted in a fitting speed increase. I included either all 430 features or a random pick of the ordered features by importance in a desirable feature count range (100-285 and 180-240). Second level models 30 xgboost models were learnt to combine the predictions of the 100 first level models + 21 additional base features. The final predicted probability is the average of those 30 models. The predicted place ids are based on the order of the average prediction. Ties are resolved by considering the predicted probability of the second candidate selection step. Please feel free to ask questions or suggest improvements! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126233/4546/Private LB.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126233/4555/meanXVariationVsAc.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126233/4587/Strategy8.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126233/4588/accuracyGroupVsX.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126233/4589/accuracyLocal.png [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126233/4590/yearlyPattern.png",63,gold,32,Thu Jul 07 2016 06:39:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22081,/competitions/facebook-v-predicting-check-ins,1st
/phoenixl,Solution Sharing: KNN + KDE,"My solution is a combination of K nearest neighbor and kernel density estimation. The idea is firstly using KNN to pick 10+ possible candidates and then reranking the candidates with KDE. You can find my source code here: [Link]:https://github.com/linrongc/facebook_check_in_prediction/ As for KNN, I applied 2 tricks: (1) the number of neighbor is linearly increasing over time def var_k(record): return int(40 + 80 * (record[3] - Setting.LASTTIME)/400000.) copy (2) the neighbors have voting weights which are measured by the distance: weight = np.exp(-0.5*dis**2/10.78) copy These two tricks boosted my score from 0.565 to 0.588 at LB. As for KDE, I use [x, y, accuracy, day_hour, week_day, year, month_day, day_of_year] as the features (they are float numbers). Different from custom KDE solutions, I use a kdestimator to fit the distribution for each dimension (now I think it could be problematic). For example the uploaded image shows the fitted distribution for week_day. Then the final score function is just a linear combination of the log probability of place_popularity(#check_in), KNN weights, the predicted probability by the kdestimator for each dimension. Since the number of dimension is small, I could manually tune the parameters. The tricks here are: (1) way to compute the probability of recurrent features(weekday, day_hours) values = kde.score_samples([[value], [value+period], [value-period]]) total = np.logaddexp(values[0], values[1]) total = np.logaddexp(total, values[2]) copy (2) use a smooth_func so that places with fewer checkins will have higher band_width: def smooth_func(self, size, factor): return np.log(factor)/np.log(size + 1) copy This part boosted my score from 0.588 to 0.604. There are multi_thread supporting interfaces in my source code and you can run the code in a cluster or multi_core computers. Before the end of the competition, I finally realized that X, Y are highly denpendent. So a better approach should be use only one KDE for X and Y. I believe that will be an improvement. But no time remains for me to modify the solution. Actually I didn't start this competition until June 17th. The time was too tight for a kaggle newbie to make his first challenge. But thanks for all of your scripts and insightful comments in the forum, I am able to make it done. I really enjoy my first competition in kaggle. Also if lucky enough, I hope I can get an interview from facebook and have a job. Congratulations to all the kagglers in this competition!!! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126245/4548/week_day_distribution.png",6,silver,9,Thu Jul 07 2016 07:27:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22083,/competitions/facebook-v-predicting-check-ins,17th
/del=35b95ae5ee9490e2,Model Development Methodology ,"Hello Everyone, Here is my approach on this problem: Since there are too many classes for few dimensions like Agencia_ID, Producto_ID; I was thinking to create tiers/rank for the classes based on the overall Demand. This will replace unique IDs with tiers (maybe 20 or 30) Split the training data into train and split in 70:30 ratio Adopt random forest to start with Would greatly appreciate any responses to this initial thoughts. Since dealing with this data is computationally expensive, i thought its better to take opinions from Kaggle Masters here :) Please excuse me if my approach sounds too naive. Thanks!",0,None,3,Thu Jul 07 2016 07:51:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22084,/competitions/grupo-bimbo-inventory-demand,None
/abcde26445,Perfect Sequence,"Hello, From train set from where should I start in order to have a good sequence to test?",0,None,1,Thu Jul 07 2016 09:10:28 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22085,/competitions/integer-sequence-learning,None
/larryfreeman,Solution Sharing:  I got to #23 with xgb/rf/knn,"I used two types of feature sets: Feature Set 1: x,y,logaccuracy,hour,year,weekday,month For example, see the code in this [Link]:https://www.kaggle.com/gospursgo/facebook-v-predicting-check-ins/modified-grid-knn-without-month-year/discussion by Jiahuan He. Feature Set 2: x,y,logaccuracy,minute_sin,minute_cos, day_of_year_sin,day_of_year_cos, weekday_sin,weekday_cos,month,year Details for feature set 2 came from this [Link]:https://www.kaggle.com/zeroblue/facebook-v-predicting-check-ins/mad-scripts-battle-z by Michael Hartman For each feature set, i built an knn model (near neighbors = 37), random forest, and xgb classifier. I hand-tuned weights for knn (starting with weights posted in the forums). For rf and xgb, I used weights on x,,y, and logaccuracy only. I took a look at this [Link]:https://www.kaggle.com/chopra/facebook-v-predicting-check-ins/logistic-regression-to-find-knn-weights/discussion from AnujChopra but did not end up using the results from it. For each knn model, i added probabilities that were mentioned in this [Link]:https://www.kaggle.com/suryavan/facebook-v-predicting-check-ins/knn-and-probability-lookup-script/discussion by Abhi. i found that this improved my knn model in the LB by 0.005. The individual models themselves got me to a 0.585 at best which was my knn/feature set 2 with probabiilities based on weekday/hour/four hour. My best xgb and rf were around 0.580. I got to #18 early on (0.582 on LB at the time) by ensembling the list of models. I wrote a simple application that takes as input a list of tuples of (csv file,weight) and then it tallies predictions for each test row id based on these tuples. The tally is based on weight1 for the first prediction, weight(1/2) for second prediction, and weight*(1/3) for third. The ensemble consists of the tallying all the weighted votes and then using the top 3 place ids by votes in order of votes. The way I got to #23 was that I wrote a tool to make it easier to figure out the best combination of models to ensemble. The tool divides the training set into 70% training data and 30% cross-validation data based on time >= 587158. It then goes cell-by-cell in a 100x100 grid, to generate predictions based on weights models. For example, here is the input to my tool that led me to my second best ensemble which got me to #27: weighted_models = [(""xgb_featureset1"",24), (""rf_featureset2"",10), (""knn_featureset2"",16), (""rf_featureset1"",11), (""xgb_featureset2"",10)] copy I got to #23 by adding my original ensemble that I mentioned before. I am planning to share all my code which was written in python. Here is my method for combining multiple dataframes by weight so that I could cross-validate and evalute the results of the ensemble where weights is a list of weights and names is a list of model names, and df_list is the predictions made by each model for the given cell. topn=3 # combine all models into a single dataframe df = pd.concat([d.set_index(d.index) for d in df_list], keys=names) weights_df = pd.DataFrame(weights,names) # 1 for first, 1/2 for second, 1/3 for third. weights_pr = pd.DataFrame([1./float(i+1) for i in range(topn)],['predict'+str(i+1) for i in range(topn)]).T weights = weights_df.dot(weights_pr) weights_by_group = df.groupby(level='row_id').apply(lambda x:weights).unstack(0).stack() bdf = pd.concat([df[['predict'+str(i+1) for i in range(topn)]],weights_by_group],axis=1,keys=['choices','weights']) bdf1 = bdf.stack().set_index('choices',append=True) # sum up the votes for each model bdf2 = bdf1.groupby(level=[1,3]).sum().unstack(0) sort = lambda x: x.sort_values(ascending=False).index return pd.DataFrame(bdf2.apply(sort).reset_index(drop=True).head(topn).values.T) copy",4,bronze,7,Thu Jul 07 2016 11:39:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22086,/competitions/facebook-v-predicting-check-ins,23rd
/jszymczak,Kaggle docker images - reproducibility question/suggestion,"Hi guys, at first I would like to say, that Kaggle docker images for Python are just wonderful. Not only I discovered some new useful libraries, but also was able to (mostly) painlessly play with them. I see some problems however. There is no tagging for kaggle containers on dockerhub. It means that one installation of kaggle/python is not equivalent to another one after some time have passed. EDIT: The description below is valid only if you would like to use the source Dockerfiles and create your own image. Dockerhub works in such manner, that unless it is explicitly specified, image is not rebuilt after update of package (nevertheless, if something is based on latest version it is not explicitly known on which one) There are couple of other things in image itself, that I believe do change even if image files remain unchanged (please correct me if I'm wrong in this case). Very first dependency always grabs the latest version of Anaconda, then all the pip installs grab the latest versions and all the git clones as well. I definitely would like to ask you, whether you think it would be possible to at least tag each new version of container on dockerhub. As for reproducibility, I would leave as open question to you and the community, whether it would be useful to determine versions in pip, revisions in git and the base version of Anaconda image? I intend to try such approach for my own purposes and I wonder whether there are some things to consider in favor of not doing so.",1,bronze,1,Thu Jul 07 2016 16:10:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22088,None,None
/happycube,Log Means,Scaling the predictions at the end works well for log-based comparisons - Rossman for instance gained a bit by multiplying the predictions by .9875 or so.,0,None,1,Thu Jul 07 2016 19:12:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22092,None,None
/jherna17,How to improve pandas performance with this data ,"Hi! How are you guys doing? I was thinking of doing a Moving Avg of the demand to plot the behavior of products and clients over time. My main problem is that using pandas is taking to long for all the train data (I little over an hour iterating over smaller chunks) This is a sample of the code I'm using: df = load_bimbo_data() #Using all the data %time df['Last'] = df.groupby(['Cliente_ID','Producto_ID'])['Demanda_uni_equil'].shift(1) %time df['MovingAvg'] = df.groupby(['Cliente_ID','Producto_ID'])['Last'].apply(pd.rolling_mean,3) # by chuncks products_chunk = df['Cliente_ID'].unique() products_chunk = np.array_split(products_chunk,20) # Avoid Ram issues by taking chunks for chunk in products_chunk: start = time.time() df.loc[df.Cliente_ID.isin(chunk)]['Last'] = df[df.Cliente_ID.isin(chunk)].groupby(['Cliente_ID','Producto_ID'])['Demanda_uni_equil'].shift(1) %time df.loc[df.Cliente_ID.isin(chunk)]['MovingAvg'] = df[df.Cliente_ID.isin(chunk)].groupby(['Cliente_ID','Producto_ID'])['Last'].apply(pd.rolling_mean,3) print(""total time taken this loop: "", time.time() - start) copy Improvement Ideas: Moving to Spark Clusters using databricks Try a parallel approach ( [Link]:http://stackoverflow.com/questions/26187759/parallelize-apply-after-pandas-groupby) Try Blaze lib? or Dask? Any thoughts?",0,None,4,Thu Jul 07 2016 19:13:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22093,/competitions/grupo-bimbo-inventory-demand,281st
/davidtang,Dataset Variables Description,"Hello admin, Recently, I plan to use this dataset for Interdependent preferences related studies and its related to spatial autoregressive discrete-choice model. Unfortunately, the data description is not very clear and complete, especially for the location related variables. For example: ""visitor_location_country_id"" only has the country ID , which not contain the country names and exact location (e.g. longitude and latitude) of the customers. Could i get the more details of location related information in this dataset (like the zipcodes, longitude& latitude) for further study? Thank you for your answers in advance.",1,None,6,Thu Jul 07 2016 22:53:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22096,/competitions/expedia-personalized-sort,None
/evaristoc,Predict which people are influential in a social network ,,16,None,2,Thu Jul 07 2016 23:49:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22105,/competitions/predict-who-is-more-influential-in-a-social-network,None
/jakequade,"""I want to Kaggle!""... now what?","Hey guys, I'll try and be brief with this one as I know we've all got competitions we want to be entering ;) I have been learning Ruby for some time now (slowly getting there) before realising it's the stuff on Kaggle that I'd like to be learning code for. So my question to you guys is, which language do you think is best for these comps? I understand it's probably not a 'one size fits all' scenario, but are there languages I should be considering other than Python? I've been told a few times that Javascript is where I would learn the most (and also have to learn the most) but I'm keen on your thoughts. So, I want to Kaggle!… but how? What?",0,None,5,Fri Jul 08 2016 00:56:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22108,None,None
/abednadir,Will this idea work with more RAM?,"The idea is to take averages like the leaderboard script does but then put the values onto our training set and use them as covariates. The best covariate is missing on around 1.4mil rows in the test set and to overcome this I just made two separate models, one with and one without it. You can also do this same idea with random Forests or whatever model you want. I imagine that people high up on the leaderboard are already doing this kind of feature engineering [Link]:https://www.kaggle.com/abednadir/grupo-bimbo-inventory-demand/throwing-in-the-towel-here-s-my-script edit: the variable ""feature.names"" currently tries to exclude a 17th variable, you may need to edit that out",0,None,6,Fri Jul 08 2016 00:57:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22109,/competitions/grupo-bimbo-inventory-demand,990th
/kingsman142,How do I know my accuracy?,"I've noticed that in many of the kaggle competitions I've seen, they give you training and testing data. However, they never give you the true values of the testing set, so how are you supposed to test your accuracy/score? Is there some hidden file somewhere that I can check it against? Or are we just guessing? Especially in this challenge, there is no way I can interpret some greyscale numbers in an excel spreadsheet to know what number I should be expecting to know if I'm good or bad. Thanks in advance.",0,None,2,Fri Jul 08 2016 01:53:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22110,/competitions/digit-recognizer,None
/davidpinto,Solução Vencedora,"Pessoal, Como prometido, irei descrever minha solução. Esse tópico é para que todos possam tirar suas dúvidas. Qualquer coisa que não entenderem, perguntem! Antes disso, segue o link para a base de dados original que foi utilizada no desafio de vocês: [Link]:http://archive.ics.uci.edu/ml/datasets/Covertype. Eu ocultei o nome das variáveis e troquei os labels das classes. Minha solução detalhada: Ajustei um modelo Random Forest da biblioteca H2O.ai usando todas as 54 variáveis, sem nenhum pre-processamento. Usei random search para encontrar os melhores parâmetros do modelo. Obtive um ranking das variáveis usando a função varimp, e salvei para selecionar as melhores features futuramente. Gerei 36 features usando splines cúbicas com grau de liberdade 3, a partir das 12 melhores variáveis. Usei o pacote splines do R. Gerei 42 features com KNN a partir das 15 melhores variáveis: 7 (distância ao vizinho mais próximo em relação a cada classe) + 7 (soma das distâncias dos dois vizinhos mais próximos em relação a cada classe) + … + 7 (soma das distâncias dos seis vizinhos mais próximos em relação a cada classe). Gerei 8 features usando um modelo Autoecoder da biblioteca H2O.ai: deeplearning(..., autoencoder = TRUE). Considerei todas as 54 variáveis. Gerei 7 features binárias usando o algoritmo de partição Clara do pacote cluster do R. Considerei as 15 melhores variáveis. Basicamente, reparti os dados em 7 clusters e usei one-hot encoding para transformar os rótulos dos clusters em 7 variáveis binárias. Extrai 12 features usando PCA do pacote H2O.ai, a partir das 15 melhores variáveis. Extrai 10 features usando o algortimo GLRM (PCA com regularização L1 e L2) do pacote H2O.ai. Considerei todas as variáveis. Gerei 10 features calculando estatísticas das linhas dos dados: média, mínimo e máximo de cada linha, índice do mínimo e do máximo de cada linha, e percentis (0.1, 0.25, 0.5, 0.75, 0.9) de cada linha. Treinei um modelo XGBoost considerando as 20 melhores variáveis e todas as 125 features geradas, somando um total de 145 features. Ajustei os parâmetro na mão, por tentativa e erro. Basicamente, minha solução usou muito Feature Engineering. Alguma dúvida? E sobre os benchmarks que postei na competição?",2,None,2,Fri Jul 08 2016 02:49:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22111,/competitions/eee901-2016-01-tp-final,1st
/aikinogard,5th Place Solution,"This is an amazing competition and thank all the discussion and scripts made by fellow kaggler. I joined two weeks before the end of this competition. The main reason for me to start this competition is because: The features provided in this competition are very simple (only x, y, time, accuracy). But the data set is big and contains more than 100,000 labels. This gives me chance to think about how to divide the problem into small sub-problems. Get into top 10 in order to reach master tier. I learned a lot during this competition. Especially in the final week, the competition become quite intense among ranking 5th to 10th. The fear of fall out of top 10 making me work very hard on trying and learning new method, including naive bayes, support vector machine and kernel density estimation. Special thank to [Link]:https://www.kaggle.com/Qingchen, it is always very educative to talk with him. validation set The size of the data set is very large. In order to use my time efficiently, my model and hyperparameter selection are done on 1/100 of the total data set. It is data in range 5 < x < 6, 5 < y < 6. Then I use the last 171360 minutes as validation set. By using this subset, I am able to know the performance of one model within 20 minutes. According to the admin, the real test set has removed unseen place_id. But I didn't do so on my validation set. So my local map3 will be lower than public leaderboard. strategy of hyperparameter selections n_cell_x, int number of cells divided in x for test and validation set n_cell_y, int number of cells divided in y for test and validation set x_border, float border on the edge of the cell for larger range of training set y_border, float border on the edge of the cell for larger range of training set th, int cutoff low frequency labels Those parameters as well as parameters of different models are considered as the hyperparameters. I write my own random grid search code to find the optimal hyperparameters of each classifier. This code will append all the hypermeters and corresponding local validation score to a record file. It also guarantee new generated hyperparameters will not duplicate with previous one in record. Thus, I can easily adjust the range and density of each hyperparameters in the selection process. ensemble Each single model will predict top 10 place_id with probabilities for each row_id. The are stored in csv as (row_id, place_id, proba). This output file for a validation set is about 3.3Mb and 351Mb for test set. I ensemble probabilities of different models using python defaultdict and output the top 3 place_id as prediction. I will first ensemble the validation set to see which combination of models has better performance. Then, I will run an ensemble on the whole data set with this combination. The idea of finding the combination is: Try to increase the diversity of the model. This includes different number of cells and different models. Then I list model candidates in different category and sorted them by local map3 score. Do greedy search to find the combination with highest local validation score. My final submission is an unweighted sum of single models. I also tried to find weight by bayes optimization. There is some improvement on the 5th digit so I just ignore it. Then run the ensemble on the whole dataset. models in my ensemble My final submission is a soft-voting of 13 single models, including k-nearest neighbors, random forest, extra-trees, gradient boosting trees, naive bayes, kernel density estimation. sklearn.neighbors.KNeighborsClassifier/knn_ps2_n1, local map3=0.504975 sklearn.ensemble.RandomForestClassifier/rf_opt1, local map3=0.509508 sklearn.ensemble.ExtraTreesClassifier/et_opt1, local map3=0.497024 XGBoost/xgb0_n4, local map3=0.518815 XGBoost/xgb0_n2, local map3=0.514897 XGBoost/xgb0_n4_th13_border5, local map3=0.521114 XGBoost/xgb150opt, local map3=0.523222 XGBoost/xgb150opt2, local map3=0.523853 sklearn.naive_bayes.GaussianNB/nb_xyat_weight1_n9, local map3=0.482681 sklearn.neighbors.KernelDensity/kde_opt1, local map3=0.478387 scipy.stats.gaussian_kde/kde_opt2c, local map3=0.491391 scipy.stats.gaussian_kde/kde_opt3c, local map3=0.493110 KDE-for-SciPy/kde_opt4, local map3=0.483254 copy Insights The structure of this dataset is very interesting. My best XGBoost model only has max_depth=3, which is unusual for my experience in previous competitions. This indicates features are almost independent to each other in this dataset. This can be the reason why my Naive Bayes is only 4% worse than my knn. Naive Bayes is a first assumption of the data distribution. When using the sklearn.naive_bayes.GaussianNB, it also assumes the distribution of each feature in cell is unimodal. But doing a simple visualization of the x, y for given place_id will tell you that assumption is not very good. One way to improve the Naive Bayes is to use kernel density estimation (KDE) rather than one single gaussian to get the probability density function. I recommend this blog ( [Link]:http://www.mglerner.com/blog/?p=28) for nice explanation of KDE. The performance of KDE is determined by the kernel and kernel parameters (bandwidth for gaussian kernel). sklearn.neighbors.KernelDensity provides you plenty of kernels to choose. My hyperparameter selection code told me gaussian and exponential are optimal choice while tophat, linear, cosine works badly. sklearn does not provide rule of thumb estimation of bandwidth, so the bandwidth is selected by cross-validation. I also tried the scipy.stats.gaussian_kde because it provides two common rule of thumb estimations of bandwidth by statistician, ""scott"" and ""silverman"". They can give fast estimation but are designed for unimodal distribution. In order to get better bandwidth estimation, I also used Daniel B Smith's implement of KDE ( [Link]:https://github.com/Daniel-B-Smith/KDE-for-SciPy). KDE-for-SciPy is based on this paper > Z. I. Botev, J. F. Grotowski, and D. P. Kroese. Kernel density > estimation via diffusion. The Annals of Statistics, 38(5):2916-2957, 2010. This estimation is more time consuming but can give good estimation on multimodal distribution. My final submission include KDE from all those implements. I feel it is very important to have your own framework to do the model selections and ensemble. The quality of your own code determine how easy it is to tuning the model and test new idea. Thus, this competition is also a good programing exercise for me. My code is on [Link]:https://github.com/aikinogard/5th_place_solution_facebook_check_ins now. Please press ""helpful"" button if you like my post. Thanks, Li",39,gold,validation set,Fri Jul 08 2016 02:52:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22112,/competitions/facebook-v-predicting-check-ins,5th
/brockelmore,Stock Market Project,"Hello, I am brand new to Kaggle, but have an intense passion for ML. Now, before you jump on me saying the stock market is too chaotic and noisy, hear me out. This project is not to ""accurately"" predict stock movements. It is to gain an edge, even if that edge is small. Assuming that I have access to accurate tick data for nearly all companies going back to the mid 90's (I do), I am looking for someone to discuss an idea I have and possibly a partner to build out the project. I am hesitant to put the plan on here so if you have an interest in the stock market, sentiment analysis, data collection, and want to learn more please reach out to me (I am not sure if there are PMs on kaggle, but if not post below and we will figure it out) Brock",2,None,6,Fri Jul 08 2016 03:07:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22113,None,None
/chrisgundling,Anyone else try using SVM?,"Way down the final LB, but hadn't seen much discussion of SVM for this problem so figured I'd post this. I used this training/testing data run over the full grid (current output only for single grid cell 500m X 500m) with LIBSVM to produce LB ~ 0.55. Then used ensemble with popular KNN script to get up to LB 0.58363 (thanks [Link]:https://www.kaggle.com/Sandro). Each grid cell runs in 30min to an hour, so with 400 grid cells, I used AWS with c4.8xlarge to finish a full run in around 11 hours. Wish I had more time to try a few more things, as I was starting to see some higher cross-validation accuracies on individual grid cells.",0,None,1,Fri Jul 08 2016 07:42:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22116,None,None
/aikinogard,number of data per week,"I have a question on the amount of data per week. In train.csv, there are about 11M data per week. However, in test.csv, there are only about 3M data per week. What cause the difference of the amount of data here? Thanks,",1,bronze,2,Fri Jul 08 2016 08:57:09 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22117,/competitions/grupo-bimbo-inventory-demand,73rd
/farfallafly,Best and worst paid public job in SF,"Thank you for the wonderful script HanY! Very inspiring! One question though, how does the Rfunction decide which word of the JobTitle to be chosen and then displayed in wordcloud? Since ""aidepublic"", ""prof"", ""page"", ""crossing"" are all part of an entire JobTitle right? Thanks again!",0,None,1,Fri Jul 08 2016 10:29:49 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22118,None,None
/del=fef0077d9e951345,Cheating your way to the top of the LB; remove the LB!,"People participating in the Animal shelter competition completely ignore the final aim; including me. The main goal of this competition should be to “Help improve outcomes for shelter animals”. This goal should be achieved by providing insight in the placement of animals in the past. The leaderboard should not be the primary focus! It is clear from the number of topics that focus on performance many people only care about the leaderboard. While most (60 % or even more…) of these scores are achieved by exploiting the date exploit. The exploit will not help in achieving the aforementioned goal of the competition. I want to give credits to Gerard Toonstra who was the first (to my knowledge) to find and expose the exploit. It is worrying to me that people blatantly ignore the rules that they have accepted at the beginning of the competition: “Your model should only use information which was available prior to the time for which it is forecasting”. The outcome date and time are not available prior to the forecast and neither is the age at outcome or the sex upon outcome. That leaves us with the features name, breed, color and animal type. Even a Kaggle admin did not care enough about this rule, and is currently the top voted script. I started this competition with full commitment to provide some insights in the placement of shelter animals. I thought the outcome features were measured at the intake of animals, and used them in my initial predictions. I found that these features are measured at the outcome; when the outcome class is already known. The competition was “ruined” for me when I found that people were optimizing strategies to exploit the data leak instead of looking at the aim of the competition. Exploiting the leak is cheating and against the rules. There are however people on the leaderboard that have taken cheating to another level by incorporating known outcomes for the test set from publicly available data. With reasonable doubt every score below a log-loss of 0.6 cheated using the publicly available data. Every score below 1.0 I suspect of cheating using the leak. However, I would like to state that there are some interesting plots and scripts on the forum, but the leaderboard and the scores should be completely ignored in this competition. We should learn from the mistakes made in this competition and make sure they do not happen in the future. Here are some points that I think are important: Keep the aim of the competition in mind when setting it up. If the goal is to provide insight, reward giving insight in the data instead of having a leaderboard. For example, see the featured dataset section on Kaggle. Do not add useless features that can potentially leak information. The “outcome” features are against the rules of the competition; so why add them to the dataset? If the features could potentially contain information (that is in line with the rules) make sure that they are transformed in a way they cannot cause a data leak. For example, adding the minutes of the outcome is dangerous and useless for real predictions. Data should be split in a smarter way than random if applicable. The data could have been split by the year of the outcome (2014 and 2015 as train, and 2016 as test). For example, see the current Grupo Bimbo Inventory Demand competition that was not split in a random fashion. When outcomes of the test set are publicly available there should be no leaderboard. I could have cheated in an almost undetectable way because I do not have to provide my scripts.",11,silver,32,Fri Jul 08 2016 10:36:53 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22119,/competitions/shelter-animal-outcomes,2nd
/del=d88126fbc8bb3e9e,Basic Visualization,useful,0,None,3,Fri Jul 08 2016 11:20:34 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22121,None,None
/rahulmanchandais,Student Loans (Financial Complaints),"Hi, Good post! A small question - While running the below code, i get this Error: c(""region"", ""value"") %in% colnames(user.df) are not all TRUE create the choropleth state_choropleth(state_by_volume, title = ""Volume by State"") Can you please suggest. Thanks in advance!",0,None,3,Fri Jul 08 2016 13:17:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22122,None,None
/qwang88,6th place - Kernel Density Estimation,"My final solution was an ensemble of XGBoost, random forests, k-nearest neighbors, and kernel density estimation. My XGBoost, RF, and KNN methods ended up being highly similar to what has already been discussed in the forums so in this post I will share my KDE method, which scored ~0.604 on the public LB. The idea of this problem is very simple, given a new check-in, can we predict the business of the check-in out of 100000+ businesses? Using, KDE, the goal is to generate a kernel density for every business in the training set using relevant properties. Then, for each observation in the test set, compute the probability of the check-in being at each of the 100000+ businesses and sort the results from highest to lowest. Problems faced: 100000+ business is too many. Solution: break the data set into smaller grids as in the KNN and XGBoost methods How to incorporate the various properties of the data? Solution: estimate a kernel for each property (e.g., x, y, log(accuracy), day of week, hour of day), and then multiply the probabilities. This assumes that the properties are independent (which I believe they are) so you're basically computing Pr(check-in = business | x, y, log(accuracy), day of week, hour of day) = Pr(check-in = business | x)Pr(check-in = business | y)Pr(check-in = business | log(accuracy))Pr(check-in = business | day of week)Pr(check-in = business | hour of day). How to select the bandwidth/kernel type? Solution: I used the kernel density code from sklearn. They offer a number of different kernels. The best way is to start with the Gaussian kernel, and to start with Scott's rule for bandwidth selection (described in the Scipy kde documentation). Then, tweak the values to optimize the kernel and bandwidth with your validation set. I found that the Exponential kernel was slightly better than the Gaussian kernel. Solving the three problems above produces a score of ~0.59. Next, we know that check-ins do not happen consistently across time. Some businesses have check-ins early in the time period and others later and some happen at seemingly randomly periods (while still following day of week and hour of day trends). One theory to test is that businesses that have check-ins later in the training set are more likely to appear in the test set. This can be modeled in the KDE framework by simply multiplying the final probability by the average date of check-in for the business, so that businesses with later check-ins will have higher probabilities than businesses with earlier check-ins. Doing this improves the score to ~0.595. Another way to do the above is to estimate a KDE for time (e.g., week number), and set all of the test set's week number to be that of the final week in the training set. Doing this instead of the above method scores ~0.594, but an ensemble of both methods (while keeping the other parts the same) improves the score to 0.602 on the public LB. Finally, the grid method cuts off boarders at specific locations which limits kernels to be estimated using only the data within the grid. By shifting the grid slightly in both directions (x and y), you end up using a different data set to estimate the kernels. Ensembling the results from the two different grids improves score to 0.604. Attached is a not-so-clean Python script that I used. Please let me know if something is unclear or wrong in the script. Hope this was useful/interesting for people! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126440/4559/KDE_post.py",22,gold,13,Fri Jul 08 2016 15:04:51 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22123,/competitions/facebook-v-predicting-check-ins,6th
/xheimlich,"Leaderboard submissions claiming ""exploit""? ","The top submission on the leaderboard says ""major exploit"" and gets what amounts to a perfect score. Second place is much, much farther behind. What's happened here? Was there a leak?",0,None,1,Fri Jul 08 2016 15:19:29 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22124,/competitions/shelter-animal-outcomes,None
/rachar1,Some Visualizations for Climate Change,Nice.. I was surprised to see Denmark as the second coldest nation on your chart (by avg temperature). Check this out and compare: [Avg Temp] [Link]:http://www.holiday-weather.com/copenhagen/averages/,0,None,3,Fri Jul 08 2016 16:52:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22125,None,None
/happycube,Log-means in Python (.48578) v2,"I ported the basic design of the .48x R script(s) into Python today, and adapted it to process each product in turn, so the dictionary indexes don't blow out the script engine's 8GB RAM limit. This could still use further optimization, the results aren't quite as good - or nearly as fast - as the R version. But this should let Pythoners enter the script battle ;)",2,bronze,5,Sat Jul 09 2016 05:50:27 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22128,None,None
/quanto123,xgboost and instance weights - sample script,"I'm looking for a working script that uses instance weights ( [Link]:https://github.com/dmlc/xgboost/blob/master/doc/input_format.md) from xgboost. I don't know if LibSVM format is crucial, but I prefer csv. Ideally, as input: train.csv, train.csv.weights (just single column), test.csv and otto classification as sample prediction problem. Also instance weights could be a special column in train.csv.",2,None,2,Sat Jul 09 2016 08:36:30 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22130,None,None
/rsakata,3rd Place Solution (simple version),"This is a simple version script of my approach. 20 minutes is too short to complete whole prediction, so this script predicts only first 1000000 rows of test data. By this submission, private LB score is 0.07103, so estimated score by whole prediction is 0.07103*8607230/1000000 = 0.61233. Actually, I ran this script locally and submit prediction, I got 0.61152 in private LB.",11,gold,21,Sat Jul 09 2016 15:08:43 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22133,None,None
/cmcampano,cannot load data into R,,0,None,1,Sat Jul 09 2016 20:29:15 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22134,/competitions/titanic,None
/ben519,Kaggle T-shirts,"This has come up a few times: [Link]:https://www.kaggle.com/forums/f/15/kaggle-forum/t/10403/where-can-i-get-a-kaggle-sticker-or-t-shirt [Link]:https://www.kaggle.com/c/introducing-kaggle-scripts/forums/t/15156/kaggle-t-shirt [Link]:https://www.kaggle.com/c/predict-west-nile-virus/forums/t/13631/scripts-for-kaggle-swag-new-prizes I would love to get a Kaggle t-shirt. I would gladly purchase one or compete for one, but as it stands I don't think either is an option…? I could see t-shirts being a great consolation prize for the people placing 4th-10th or so in a competition. UPDATE - 2021 5 years later, I'm hijacking this post of mine to shamelessly plug my [Link]:https://merchonate.com/collections/ben-gorman-gormanalysis where I sell data science merch. I suspect a lot of the people reading this post would be interested in the shirts I've designed.",14,bronze,4,Sat Jul 09 2016 20:57:47 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22135,None,None
/xkz0626,Running linear regression with Null Values?,"I changed my data set to this way and hope to run Linear regression with 3 weeks of data to predict the fourth one, and keep iterating. How would you guys deal with the Null values? [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126559/4556/Screen Shot 2016-07-09 at 2.29.08 PM.png",0,None,1,Sat Jul 09 2016 21:31:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22136,/competitions/grupo-bimbo-inventory-demand,860th
/txengenesis,Titanic Submissions,"Hey guys, i found this website while browsing through the web on decision trees, I'm a beginner in data science but interested in learning about it. About the Titanic competition, i don't understand what exactly i should write in my submission .csv file, i get that it's the outcome but my first guess is write a 0 or 1 per line? Do i need to add something else about the data's personnel? I'm so confused thanks for reading. Edit: Figured out i have to put the ID too after browsing furiously :D Turning this into a ""Hello"" thread, hey guys ^.^",0,None,1,Sat Jul 09 2016 21:49:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22137,None,None
/ofdomejean,"About ""Estado de Mexico"" and ""Mexico DF""","Hi, I read that “Estado de Mexico” surrounds “Mexico DF”, but in the Town file these are separate rows, the former with 50 agencies and the later with 42, but they do not have towns in common, then one is not part of the other. Please may somebody explain this. Thanks in advance.",0,None,2,Sun Jul 10 2016 01:32:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22138,/competitions/grupo-bimbo-inventory-demand,449th
/sarems,Understanding the Super-Learning Algorithm,"Hey guys, I'm a little bit confused about the Super-Learning Algorithm right now and couldn't find any solution to my problem: As far as I understand it yet, the super-learner is produced by letting the base learners estimate every v-fold from the training set and then letting the meta-learner estimate on the results of the base learners. I don't understand, how the base learners will estimate the level-0 learners for new data. Since the base learners (say L different ones) predict on every v-fold, I should get v*L base-learners, but in the scripts I found there will only be L level-0 learners for new data. Can you tell me where I'm wrong? (Sorry if you find any form of bad English, I'm not a native speaker) Greetings, Sarem",0,None,1,Sun Jul 10 2016 17:14:07 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22140,None,None
/xkz0626,Log_Mean_Plus LB:New 445,would you mind explaining following math? I have a hard time understanding it. Thank you! submit$Pred <- expm1(submit$MPCA)0.83+0.445 submit[is.na(Pred)]$Pred <- expm1(submit[is.na(Pred)]$MPR)0.79+0.09 submit[is.na(Pred)]$Pred <- expm1(submit[is.na(Pred)]$MP)*1.05+0.47 submit[is.na(Pred)]$Pred <- expm1(mean_total) + 1,2,bronze,5,Sun Jul 10 2016 20:12:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22141,None,None
/mrisdal,ISIS Tweet Analysis,Nice! I like the most used hashtags figure.,0,None,2,Sun Jul 10 2016 22:55:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22143,None,None
/dalanger,Complete Tutorial - Score 0.80861 With Only 4 Features!,"Greetings All! Wanted to share with the Kaggle community a complete, in-depth tutorial on Data Science with R. I created this video series to be the introduction I wish I could have found when I started my Data Science journey 3+ years ago. It is geared for folks with little to no experience with R. Here's the link to the playlist on YouTube: [Link]:https://www.youtube.com/playlist?list=PLTJTBoU5HOCRrTs3cJK-PbHM39cwCU0PF Enjoy! -Dave",0,None,1,Sun Jul 10 2016 23:47:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22144,/competitions/titanic,None
/wenxin,What class does fastening the seat belt belong to?,"Hi all, I found some pictures of a driver fastening the seat belt in the test set. I wonder which class should it belong to? Will it be 'safe driving' or 'reaching behind'?",0,None,1,Mon Jul 11 2016 02:16:58 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22146,/competitions/state-farm-distracted-driver-detection,40th
/waffleboy,Sharing of Knowledge,"Hello everyone, Congratulations to all the teams who qualified for the finals! It was a tough race, but you guys made it in the end! :) Now that the competition is over, in the spirit of learning, could we share our techniques and methods? How did everyone tackle this competition? For us, we had no idea about CV or image classification prior to this. AFter grovelling around a week, we tried inceptionV3 by tensorflow, and CNN's in keras. However, it wasnt very successful (with keras giving 82% local but 74% on kaggle and tensorflow not being able to do mass predictions). In the end, we were placed 43. How about you guys? :)",6,silver,14,Mon Jul 11 2016 07:12:37 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22148,/competitions/data-science-game-2016-online-selection,43rd
/ashwinawake,GOT Analysis with Pina Colada,"My first attempt at data analysis. Hopefully, I get better at it.",2,bronze,2,Mon Jul 11 2016 08:46:33 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22150,None,None
/anhducqt,My account on LB has removed,"Hi everyone, I don't know why my acc on LB has removed. I don't receive anything information about this. Who someone like me and who can explain for this one? Thanks",0,None,1,Mon Jul 11 2016 08:51:25 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22151,/competitions/facebook-v-predicting-check-ins,None
/andreasgruber,One Hot Encoding With R,"Hello all, i wrote my own function for one hot encoding in R but run always out of memory. R says it cannot allocate vectors of size… Additionally mr. google didn´t tell me any helpfull things. After one hot encoding i would like to use xgboost. Therefore i would like to know, if someone can help me with this issue and provide a little example using one hot encoding or something like that. Thank you in advance",2,bronze,12,Mon Jul 11 2016 14:39:12 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22153,/competitions/grupo-bimbo-inventory-demand,552nd
/lyysweet,Error of Random Effect Model using the Proc nlmixed in SAS ,"Hey, I am using proc nlmixed to do a random effect model for a 3 time point longitudinal dataset. For some reason, the log kept giving error message as ""no parameter found"". Hope this can be solved here. Thanks [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126648/4563/Kaggle_0711 example.sas [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126648/4564/data_0705.sas7bdat",0,None,2,Mon Jul 11 2016 16:06:05 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22154,None,None
/scirpus,Leave One Out Encoding,This uses about 1Gb of memory and projects the IDs to the demand by using Owen Zhang's Leave One Out methodology - you can add noise or incorporate minima and maxima for additional features. The creation of the actual model is up to you - may I suggest ridge regression or KNN regression to start you off. Copy the files to the directory of your choice Change directory and file names in main.cpp to mirror your own From the command line go to your directory Type 'cmake .' (Please don't use the quotes ;) Type 'make' Type './LOO' [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126649/4560/FileUtils.h [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126649/4561/CMakeLists.txt [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126649/4562/main.cpp,12,gold,6,Mon Jul 11 2016 16:25:16 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22155,/competitions/grupo-bimbo-inventory-demand,74th
/yifanxie,Prezi Presneation for Kaggle,"Dear Community: I have created this [Link]:http://tinyurl.com/j62t9ms to introduce Kaggle competitions to our local [Link]:http://www.meetup.com/Bristol-Data-Scientists/events/231935299/, and hope to attract more bright minds to join and compete on this wonder platform. It is not very technical in nature, and mainly explain the main ""way of working"" for the competitions, but I plan to expand it a bit more in the future - perhaps go through the ""story"" of some competition in details :) I have made it public and re-usable on Prezi, so if anyone want to take it for your own use, be your own guest :) Also let me know if there is any point I should add to it! Best Regards Yifan",4,bronze,2,Mon Jul 11 2016 17:54:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22156,None,None
/debopriyosanyal,What do we need to analyse here,,-1,None,1,Mon Jul 11 2016 17:59:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22157,/competitions/ultrasound-nerve-segmentation,None
/raddar,non-unique device_id,there is a duplicate device_id in test files (device_id=1186608308763918336) How this duplicate device is scored?,5,silver,38,Mon Jul 11 2016 18:39:39 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22158,/competitions/talkingdata-mobile-user-demographics,18th
/anokas,Beat the Benchmark! (2.42107),Here's a quick probabilistic submission to save you all a few minutes,7,bronze,4,Mon Jul 11 2016 18:49:38 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22159,None,None
/zhuhan,Welcome! 欢迎！,"Hi Kagglers, Welcome to TalkingData Mobile User Demographics competition! We're excited to partner with Kaggle to work on this problem. Our data science team will be on this forum throughout the competition to answer your questions. From the dataset, We hope that you can get unique and fascinating insights about the Chinese Mobile Internet industry, which is not often revealed to the rest of the world. And we're looking forward to your innovative solutions to this challenge. Thank you for participating and good luck! 祝你好运！ Han Zhu - TalkingData",9,silver,47,Mon Jul 11 2016 19:16:55 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22160,/competitions/talkingdata-mobile-user-demographics,None
/ddataguru,Caching RMarkdown files,"Hello All, I am new here. Is it possible to cache RMakdown files on kaggle ""RMarkdown"". I tried doing this by passing the usual settings ""cache = TRUE"" to the chunk. I also tried setting this globally with opts_chunk$set…. On both occasions I keep getting an error: Quitting from lines 22-25 (script.Rmd) Error in file(con, ""w"") : cannot open the connection Calls: render … block_exec -> block_cache -> -> writeLines -> file In addition: Warning message: In file(con, ""w"") : cannot open file 'script_cache/html/__packages': No such file or directory Execution halted",1,None,3,Mon Jul 11 2016 19:36:35 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22161,None,None
/radustoicescu,sangsung,"Is that a typo, or a phone brand?",0,None,2,Mon Jul 11 2016 20:42:18 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22164,/competitions/talkingdata-mobile-user-demographics,None
/activegalaxy,Isis #TweetMovie,I have placed this data set as a #TweetMovie at [Link]:http://postmodernnews.com/token-tv.aspx?f=kaggleIsis&e=PMN_Politics . This movie divides the time line into 174 frames showing words of importance and their relationships. By clicking one or two times on a word the viewer can track relationships and view associated tweets. Full instructions are found at [Link]:http://postmodernnews.com/token-tv.aspx . The next trick is to try to create an extremism index using this data set and the Isis data that is currently collected and displayed on the site. That index would be used to enhance the graphic display.,0,None,8,Mon Jul 11 2016 21:52:17 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22165,None,None
/abednadir,"Only 75,000 rows",Amen.,4,bronze,1,Mon Jul 11 2016 22:17:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22166,/competitions/talkingdata-mobile-user-demographics,768th
/sergeev,Age groups,"My eye caught this line from gender-age training data set: -1297074871525170000.00 F 24 F23- copy 24 should be in F24-27, right? Then I saw this 5886404762741540000.00 M 37 M32-38 copy then this: -5349338524207280000.00 M 27 M23-26 -147287084274333000.00 M 27 M23-26 -5712152567169520000.00 M 27 M23-26 -3305321723886860000.00 M 27 M23-26 -800851341622326000.00 F 27 F24-26 6870382681059860000.00 M 29 M27-28 copy It looks shifted to me. Should we trust the groups or re-evaluate the groups?",8,silver,2,Mon Jul 11 2016 22:24:50 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22167,/competitions/talkingdata-mobile-user-demographics,None
/aikinogard,train test set split,Sorry for double posting. This maybe a naive question but I didn't find it in the data description page. There are 26 unique drivers in the training set. How about the test set? Are the drivers in the test appear in the training set or they are new drivers? Is the public and private LB data split by random or by drivers?,0,None,1,Mon Jul 11 2016 22:40:46 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22168,/competitions/state-farm-distracted-driver-detection,90th
/sjl070707,is geocode considered as external source?,"simple question, but not too clear to me.",0,None,5,Mon Jul 11 2016 22:45:02 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22169,/competitions/grupo-bimbo-inventory-demand,None
/kzaman,Exploration of ISIS network,Amazing work! That visual library was very impressive!,0,None,2,Mon Jul 11 2016 23:28:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22171,None,None
/wendykan,Please re-download gender_age_train.csv,We fixed a bug reported from this [Link]:https://www.kaggle.com/c/talkingdata-mobile-user-demographics/forums/t/22167/age-groups. Please go to the [Link]:https://www.kaggle.com/c/talkingdata-mobile-user-demographics/data page and download the new version of gender_age_train.csv if you have downloaded the data before this post (UTC 9:30PM 7/11). Sorry for the inconvenience.,3,bronze,1,Mon Jul 11 2016 23:31:52 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22172,/competitions/talkingdata-mobile-user-demographics,None
/sjl070707,Private leader board?,"Hi, I am relatively new to Kaggle (although signedup long time ago) I think there was Private LB, but I only see Public. I believe Private is the real competition where as Public is for the bench mark purpose. where is PLB?",0,None,2,Mon Jul 11 2016 23:51:08 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22173,/competitions/grupo-bimbo-inventory-demand,None
/mchahhou,label_categories.csv,"Hi in label_categories.csv, the first line label_id==1 do not contain any information. is it Ok? or is the data shifted by 1 row?",3,bronze,1,Tue Jul 12 2016 01:02:03 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22174,/competitions/talkingdata-mobile-user-demographics,None
/khaledkhalil,Match table acronyms and XY coordinates,"This is all in reference to the Match table. Any chance you can post what the acronyms stand for as well as what XY coordinates respond to what formation positions? Also, which FIFA are the player statistics sourced from? Thanks for the dataset! Really curious as to how you put it together as there isn't a lot of clean soccer stuff out there.",1,bronze,7,Tue Jul 12 2016 01:28:57 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22175,None,None
/khaledkhalil,SQL Playground,"Hey so I forked this script and then tried to run it but running into the following errror: Error: unable to open database ""../input/database.sqlite"": unable to open database file Any idea what I'm doing wrong?",0,None,8,Tue Jul 12 2016 02:02:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22176,None,None
/anokas,Well done everyone!,"What a wonderful ride this has been! Congratulations to everyone, and to Stanislav & Dmitrii for fooling us until the last minute! Good night :)",5,silver,12,Tue Jul 12 2016 02:02:44 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22177,/competitions/avito-duplicate-ads-detection,2nd
/kiranbv,Question,"Dear Kagglers, I have a basic question. If demand is equal to Venta_uni_hoy - Dev_uni_proxima why do we even need Venta_hoy and Dev_proxima? Thank you, Kiran",0,None,1,Tue Jul 12 2016 02:22:06 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22178,/competitions/grupo-bimbo-inventory-demand,1543rd
/zmrg13,Unique Phone brands,How many unique phone brands did you obtain? I'm using R on Windows 7 and it shows as 131. I am skeptical since some Chinese fonts might have been read as different.,0,None,3,Tue Jul 12 2016 03:13:00 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22179,/competitions/talkingdata-mobile-user-demographics,None
/zhenhou,only 23309 samples having app events in 74645 training samples?,"There are 74645 rows in gender_age_train. I did a cross check between gender_age_train.device_id and events.device_id, and it seems that only 23309 device_id in gender_age_train can be found in events.device_id. Does that mean we only have 23309 training examples with event information? And the rest of the training examples only have phone brand and device model information? The python code I used to do this quick check is pasted below. import numpy as np import pandas as pd events = pd.read_csv('./input/events.csv') gender_age_train = pd.read_csv('./input/gender_age_train.csv') train_devid = gender_age_train.device_id.values events_devid = events.device_id.values # if each element in train_devid can be found in events_devid mask = np.in1d(train_devid, events_devid) id_true = np.where(mask)[0] print id_true.shape, train_devid.shape copy (23309,) (74645,)",7,silver,2,Tue Jul 12 2016 05:20:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22181,/competitions/talkingdata-mobile-user-demographics,None
/thequants,"Congrats to the ""Devil Team""","Congratulations to the Devil Team! Winning with a gap 0.5% in AUC in such a contest is really outstanding. Even more impressive was the strategy to hold hands still and to submit a leap improvement in the last hour of the competition. Very cool, indeed! The contest demonstrated that machine learning is more than algorithms, parameter tuning and brute force computing. It is more than applying many different models, bagging, ensembling, stacking and meta-modelling - which is kind of boring activity. Machine learning starts and ends with human brains understanding the data, feeding the machines, and interpreting the results - at least for some more years. Thanks to Avito and Kaggle for organizing this competition. Peter Borrmann, The Quants",8,silver,2,Tue Jul 12 2016 05:32:32 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22182,/competitions/avito-duplicate-ads-detection,2nd
/rahulvks,Talking Data Overview,Can we do this is R Programming ?,0,None,3,Tue Jul 12 2016 07:05:54 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22183,None,None
/endintears,Match test set to training set,"Another great script, thanks for sharing!",3,bronze,4,Tue Jul 12 2016 07:17:04 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22184,None,None
/zhaohao10,Chinese brands,I replace some brands in Chinese with eng 三星 samsung 天语 Ktouch 海信 hisense 联想 lenovo 欧比 obi 爱派尔 ipair 努比亚 nubia 优米 youmi 朵唯 dowe 黑米 heymi 锤子 hammer 酷比魔方 koobee 美图 meitu 尼比鲁 nibilu 一加 oneplus 优购 yougo 诺基亚 nokia 糖葫芦 candy 中国移动 ccmc 语信 yuxin 基伍 kiwu 青橙 greeno 华硕 asus 夏新 panosonic 维图 weitu 艾优尼 aiyouni 摩托罗拉 moto 乡米 xiangmi 米奇 micky 大可乐 bigcola 沃普丰 wpf 神舟 hasse 摩乐 mole 飞秒 fs 米歌 mige 富可视 fks 德赛 desci 梦米 mengmi 乐视 lshi 小杨树 smallt 纽曼 newman 邦华 banghua E派 epai 易派 epai 普耐尔 pner 欧新 ouxin 西米 ximi 海尔 haier 波导 bodao 糯米 nuomi 唯米 weimi 酷珀 kupo 谷歌 google 昂达 ada 聆韵 lingyun [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126758/4569/phone_brand_device_model.txt,14,gold,11,Tue Jul 12 2016 08:28:22 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22186,/competitions/talkingdata-mobile-user-demographics,None
/zzy984,question about the dice coefficent,"By Wiki, the dice coefficent should be 2*|X∩Y|/(|X|+|Y|). Then for a totally black predicted mask, the background and the white part should be both considered. For example, suppose X=[0,0,0] and Y=[0,0,1] then the dice coef = 2*2/(3+3) = 2/3. But for the test masks, if an empty submission is uploaded, suppose the average size of white masks is no larger than 100100 in the 420580 pictures. The min coef is 1-100100/(420580) = 0.95. It is far from the empty submission benchmark 0.51031. That's why?",0,None,2,Tue Jul 12 2016 08:46:21 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22187,/competitions/ultrasound-nerve-segmentation,55th
/datoguy,Benchmark using GraphLab Create,"Hi everyone, For this Kaggle competition, Turi (formerly known as Dato), the creators of GraphLab Create, will hand free licenses for the duration of the competitions. GraphLab Create is a scalable machine learning Python library, which is aimed at making the life of data scientists easier. It can handle datasets larger than your RAM size, operates in multicore fashion, and does by itself a lot of the annoying feature engineering steps you usually have to do on your own. Attached below is a notebook I've created in which I user GraphLab Create to train a classifier for the data. It is also available on GitHub: [Link]:https://github.com/guy4261/glc_pagerank_benchmark/blob/master/TalkingData%20Mobile%20User%20Demographics%20Kaggle%20Competition%20-%20with%20GraphLab%20Create.ipynb You are cordially invited to give it a try - [Link]:https://turi.com/download/ and email me at [Link]:guy+kaggle@turi.com to get your license extended. Good luck!!! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126764/4570/TalkingData Mobile User Demographics Kaggle Competition - with GraphLab Create.ipynb",10,silver,21,Tue Jul 12 2016 08:54:14 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22188,/competitions/talkingdata-mobile-user-demographics,1466th
/agrigorev,Solution sharing ,So now when the competition is over I'm very curious what others were doing. So let's discuss the solutions!,5,bronze,36,Tue Jul 12 2016 09:45:40 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22190,/competitions/avito-duplicate-ads-detection,5th
/gpistre,External data - geography of China,"China is very big, and especially very uneven as far as development is concerned. I imagine cell phone and apps usage patterns can vary widely between regions and between urban and rural areas. A teenage girl in rural Gansu and one in the pearl river delta probably have a very different usage of cell phones. Same for a middle-aged man in both regions (though they probably all use wechat…). Is it possible to merge the event set with publicly available datasets of administrative divisions? To get some sort of intelligent clustering of the events dataset?",2,bronze,17,Tue Jul 12 2016 10:42:11 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22191,/competitions/talkingdata-mobile-user-demographics,895th
/alexsandr,Отрицательное значение временных признаков,"Ребят просветите! Значение ряда временных признаков отрицательное. В описании признаков в задании указано: ""точка отсчета игрового времени (ноль) начинается через несколько минут после фактического начала матча, поэтому время некоторых событий может быть отрицательным"" Возникает 2 вопроса: Что мешало поставщику данных переместить точку отсчета в правильный ноль? Получается что время некоторых наблюдений составляет не 5 минут, а больше (для некоторых до 9-ти)? Временные признаки с отрицательными значениями: first_blood_time = -54.0 до 300.0 radiant_bottle_time = -35.0 до 300.0 radiant_courier_time = -90.0 до 300.0 radiant_flying_courier_time = 0.0 до 300.0 radiant_first_ward_time = -236.0 до 300.0 dire_bottle_time = -45.0 до 300.0 dire_courier_time = -90.0 до 295.0 dire_flying_courier_time = 0.0 до 300.0 dire_first_ward_time = -84.0 до 300.0",0,None,Временные признаки с отрицательными значениями:,Tue Jul 12 2016 12:14:01 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22192,/competitions/dota-2-win-probability-prediction,None
/iioxmeji,What's wrong with my submission?,"Hello! I upload my cvs-file with predictions and my score is 0. My file I do with next commands: submission = pd.DataFrame({ ""PassengerId"": passid, ""Survived"": output }) submission.to_csv(""output.csv"", index=False) Help me, please, find my mistake! Thanks! [Link]:https://storage.googleapis.com/kaggle-forum-message-attachments/126796/4574/output.csv",0,None,1,Tue Jul 12 2016 12:59:45 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22193,/competitions/titanic,None
/smcinerney,R starter code with integer64 handling,"Here is some working R code to correctly read in and subsequently write out the device_id field as integer64. Many hours of pain went into this. (The point here is the integer64 handling, not the baseline score - you can easily insert your own code).",0,None,3,Tue Jul 12 2016 13:06:20 GMT+0200 (heure d’été d’Europe centrale),https://www.kaggle.com/discussions/questions-and-answers/22194,None,None